Category: 3. Business

  • Meta Hires Another Apple AI Leader Amid Headcount Freeze, Report Says

    Meta Hires Another Apple AI Leader Amid Headcount Freeze, Report Says

    KEY TAKEAWAYS

    • Meta Platforms is reportedly hiring another senior AI executive from Apple for its Meta Superintelligence Labs, where it is moving to freeze headcount.
    • According to Bloomberg, citing people familiar with the matter, the Facebook parent is hiring Frank Chu, who has led Apple AI teams focused on cloud infrastructure, training, and search.
    • Chu is at least the sixth Apple employee working on AI models to defect to Meta, the report said.

    Meta Platforms (META) is reportedly hiring another senior AI executive from Apple (AAPL) for its Meta Superintelligence Labs division, where it is moving to freeze headcount.

    According to Bloomberg, citing people familiar with the matter, the Facebook parent is hiring Frank Chu, who has led Apple AI teams focused on cloud infrastructure, training, and search. Chu is at least the sixth Apple employee working on AI models to defect to Meta. The most recent hire is Ruoming Pang, the head of the iPhone maker’s AI models team, the report said.

    Bloomberg said Chu “helped manage the running of large language models on Apple cloud servers and oversaw some training of the software.” He also worked on creating search functions for the Siri voice assistant and entertainment services, the report said.

    Apple and Meta didn’t immediately respond to requests for comment.

    Apple shares, which entered Friday down 10% this year, are up slightly in morning trading. Meta shares are little changed. 

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  • Reconfigurable control of coherence, dissipation, and nonreciprocity in cavity magnonics

    Reconfigurable control of coherence, dissipation, and nonreciprocity in cavity magnonics

    Experimental design

    Figure 1(a) illustrates the experimental design. A YIG film is positioned at the cavity centre in a flip-chip configuration (defined as the origin). The cross-shaped microwave cavity comprises a central transmission line along the (x)-axis intersecting two orthogonal arms along the (y)-axis (Fig. 1(e)). This structure supports both travelling and standing waves. The YIG thin film and the cross-shaped cavity in this study only partial overlap (dimensions of the thin film and the cavity are detailed in Method section). In Fig. 1(e), a red box drawn to scale indicates the area covered by the YIG thin film. The orientation of the (mathbf{h}) field within the YIG film is depicted in Fig. 1(d). The nonuniformity of the (mathbf{h}) field in the cavity, especially the relative dimensions of the metallic structure and the YIG thin film, has been shown to play an important role in determining the coupling strength between the photon mode and the magnon mode22. An external magnetic field is applied to tune the magnon resonance frequency ({omega}_{0}). The magnetic field is applied with field direction (theta) from (0^circ) (perpendicular to the transmission line) to (90^circ) (parallel) within the (x)(y) plane. A calibrated vector network analyser (VNA) measures the transmission properties of the photon–magnon hybrid system, including (left|{text{S}}_{21}right|) (rf signals sent from Port 1 to Port 2) and (left|{text{S}}_{12}right|) (rf signals sent from Port 2 to Port 1). Figure 1(c) shows the measured (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|) of the empty cavity, with a resonant frequency of ({omega}_{c}/2pi=3.85:text{G}text{H}text{z}). The fitted intrinsic and extrinsic damping rates are ({kappa}_{c}/2pi=13.74:text{M}text{H}text{z}) and ({gamma}_{c}/2pi=3.65:text{G}text{H}text{z}), respectively, with the fitted curves overlaid. The near-identical (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|) responses confirm the reciprocity of the cavity.

    Theoretical model

    Figure 1(b) shows the diagram of the photon–magnon coupling mechanism in our work. Our system comprises a YIG film coupled to a microwave cavity. Under the excitation of a rf magnetic field (mathbf{h}), the fundamental FMR mode is driven, characterised by the in-phase precession of spins29. In addition to this uniform mode, spin wave resonance (SWR) modes with nonzero wavevector (varvec{k}) can also be excited, primarily due to the nonuniform rf field. These SWR modes involve collective excitations of a large spin population and can directly couple with the photon modes (shown in Fig. 3(c) and (e)). The Hamiltonian of the hybrid cavity-magnon system can be described as29,30:

    $${hat{H}}_{text{s}text{y}text{s}}=hslash{omega}_{c}{c}^{dag}c+hslashsum_{j=0}^{3}{omega}_{{m}_{j}}{m}_{j}^{dag}{m}_{j}+{hat{H}}_{text{i}text{n}text{t}}mathrm{,}$$

    (1)

    where (c) and ({c}^{dag}) are the annihilation and creation operators for the cavity mode. Similarly, ({m}_{0}) and ({m}_{0}^{dag}) are the annihilation and creation operators for the FMR mode ((:j=0)), while ({m}_{j}) and ({m}_{j}^{dag}) represent the corresponding operators for the (j)th (for j {1,2,3}) SWR mode.

    Under the rotating wave approximation, the interaction Hamiltonian takes the form29,30:

    $${hat{H}}_{text{i}text{n}text{t}}={hslash}left(sum_{j=0}^{3}{g}_{j}left(thetaright)left({c}^{dag}{m}_{j}+{m}_{j}^{dag}text{c}right)right)mathrm{,}$$

    where (theta) is the angle of the external magnetic field relative to the (x)axis, and ({g}_{j}left(thetaright)) (for (jin{0,1,2,3})) denotes the coupling strength between the cavity as a function of the angle (theta) and the (j)th mode.

    We can then derive the quantum Langevin equation following the recipe in21 – i.e. the equations of motion for all the observables.

    $$:begin{array}{c}{partial}_{t}{mathbf{x}}^{T}=-ivarOmega:{mathbf{x}}^{T}+{mathbf{b}}^{T}{p}_{text{i}text{n}}end{array}mathrm{,}$$

    (2)

    $$mathrm{where}:mathbf{x}=(c,{m}_{0},{m}_{1},{m}_{2},{m}_{3}),:mathbf{b}=(sqrt{{gamma}_{c}},sqrt{{gamma}_{0}}{e}^{i{Theta}},sqrt{{gamma}_{1}}{e}^{i{Theta}},sqrt{{gamma}_{2}}{e}^{i{Theta}},sqrt{{gamma}_{3}}{e}^{i{Theta}}):mathrm{and}$$

    $$:{Omega:}=left(begin{array}{cccc}{omega}_{c}-i({gamma}_{c}+{kappa}_{c})&:{g}_{0}left(thetaright)-i({e}^{i{Theta}}sqrt{{gamma}_{0}{gamma}_{c}}+sqrt{{kappa}_{c}{kappa}_{0}})&:{g}_{1}left(thetaright)-i({e}^{i{Theta}}sqrt{{gamma}_{1}{gamma}_{c}}+sqrt{{kappa}_{c}{kappa}_{1}})&:cdots:\:{g}_{0}left(thetaright)-i({e}^{i{Theta}}sqrt{{gamma}_{c}{gamma}_{0}}+sqrt{{kappa}_{0}{kappa}_{c}})&:{omega}_{0}-i({gamma}_{0}+{kappa}_{0})&:-i(sqrt{{gamma}_{1}{gamma}_{0}}+sqrt{{kappa}_{1}{kappa}_{0}})&:cdots:\:{g}_{1}left(thetaright)-i({e}^{i{Theta}}sqrt{{gamma}_{c}{gamma}_{1}}+sqrt{{kappa}_{1}{kappa}_{c}})&:-i(sqrt{{gamma}_{0}{gamma}_{1}}+sqrt{{kappa}_{0}{kappa}_{1}})&:{omega}_{1}-i({gamma}_{1}+{kappa}_{1})&:cdots:\:vdots&:vdots&:vdots&:vdotsend{array}right)mathrm{.}$$

    Here, ({kappa}_{c}), ({kappa}_{0}), and ({kappa}_{j}) ((jinleft{1,2,3right})) represent the intrinsic damping rates for the cavity mode, FMR mode, and the (j)th SWR mode, while as ({gamma}_{c}), ({gamma}_{0}), and ({gamma}_{j}) ((jinleft{text{1,2,3}right})) represent the extrinsic damping rates for these modes, respectively. The parameter ({Theta}inleft{0,piright}) accounts for the nonreciprocal behaviour induced by the port-dependent phases, where ({Theta}=0) is taken if the signal is sent from Port 1, and ({Theta}=pi) is taken if the signal is sent from Port 221. The nonreciprocity induced by the asymmetry of the (mathbf{h}) field is phenomenologically captured by adjusting ({kappa}_{0}) and ({gamma}_{0}).

    Assuming that the FMR modes and the SWR modes have the time-dependence of the form ({e}^{-iomega t}), we can solve for the observables in terms of the input ({p}_{text{i}text{n}})

    $$:begin{array}{c}{varvec{x}}^{T}=-ileft({Omega}-omega Iright)^{-1}{mathbf{b}}^{T}{p}_{text{i}text{n}}end{array}mathrm{,}$$

    (3)

    where (I) is the identity matrix. Finally, we can derive the input-output relationship31

    $$begin{array}{c}{p}_{text{o}text{u}text{t}}+{p}_{text{i}text{n}}=mathbf{b}cdot{varvec{x}}^{T}end{array}mathrm{,}$$

    (4)

    The input-output substituting ({varvec{x}}^{T}=-ileft(varOmega-omega Iright){varvec{b}}^{T}{p}_{text{i}text{n}}) gives

    $$begin{array}{c}{p}_{text{o}text{u}text{t}}={p}_{text{i}text{n}}left(1-imathbf{b}({Omega}-omega I{)}^{-1}{mathbf{b}}^{T}right)end{array}mathrm{.}$$

    (5)

    For our case, we can compute transmission coefficient as32

    $$begin{array}{c}{text{S}}_{21left(12right)}=left(1-imathbf{b}(Omega-omega I)^{-1}{mathbf{b}}^{T}right)end{array}mathrm{.}$$

    (6)

    Fig. 1

    (a) Schematic of the experimental setup (not to scale). An YIG film is positioned at the centre of a cross-shaped cavity supporting both travelling and standing waves. A rotatable external magnetic field tunes the FMR frequency. The cavity’s two ports are connected to a VNA for measuring (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|). (b) Diagram of the photon–magnon coupling mechanism. The cavity mode couples directly to both the FMR and SWR modes, with each mode dissipatively coupled to travelling photons at the input and output ports. (c) Measured (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|) of the empty cavity, with fitting results overlaid. Lines are guides to the eye. (d) CST simulation of the (mathbf{h}) field orientation in the YIG region at the resonant frequency with rf signals entering from Port 1. (e) Heatmap of the simulated magnetic field (h field) intensity at resonance, with rf signals injected from Port 1. The red boxed area shows the region, drawn to scale, that is covered by the YIG thin film.

    Simulation of the (mathbf{h}) field distribution

    The (mathbf{h}) field generated by the cross-shaped cavity plays a crucial role in this study, governing the excitation and dynamics of spin precession in the YIG film. The intensity and distribution of the (mathbf{h}) field are simulated using CST Studio Suite33. Figure 1(e) shows the (mathbf{h}) field intensity at the cavity’s resonant frequency with rf excitation from Port 1. The field is stronger near the input side due to asymmetric energy distribution within the cavity. Energy dissipation at the centre reduces the (mathbf{h}) field intensity as it propagates toward the cross arms. At the transmission line, adjacent to the input port (left half of the transmission line), the (mathbf{h}) field predominantly aligns along the (:y)-axis and exhibits relatively higher intensity, as indicated by the warmer colours. The (mathbf{h}) field gradually transitions from being nearly perpendicular to the (x)-axis at the cavity centre to parallel to the (x)-axis on the two arms. This variation in field direction and intensity highlights the asymmetry in the (mathbf{h}) field distribution within the cavity.

    The angle between the (mathbf{h}) field and the external magnetic field plays a crucial role in the excitation of spin precession. Maximum spin precession occurs when the (mathbf{h}) field is perpendicular to the external field, as this maximises the torque on the magnetisation34. Conversely, when the fields are parallel, spin precession is inefficient30. Therefore, when (theta=0^circ), spins in the two arms of the cross cavity experience strong excitation, while those under the transmission line are minimally excited. At (90^circ), this behaviour is reversed, with spins in the cross cavity arms remaining mostly inactive and those under the transmission line experiencing stronger excitation. Consequently, the net torque exerted by the (mathbf{h}) field determines the coherent coupling strength, which can be dynamically tuned by adjusting the external field angle30.

    The (mathbf{h}) field directly governs the excitation of the FMR mode, which is most efficient when the spins in the YIG film precess collectively with (varvec{k}=0)35,36. However, its spatially nonuniformity can also excite magnons with finite (varvec{k}), introducing spatial variations in spin dynamics36. This enables energy transfer from the uniform FMR mode to these magnons, leading to enhanced magnon damping through two-magnon scattering20,37,38. Notably, the relative angle between the (mathbf{h}) field and the external magnetic field dynamically modulates the strength and spatial distribution of these interactions, offering a means to control FMR dissipation38. This variation in angle excites spins in different regions of the YIG film, effectively reconfiguring the inhomogeneities and influencing two-magnon scattering39. As a result, the damping rate of the FMR mode is expected to vary with (theta). The extrinsic damping rate of the FMR mode is governed by its dissipative coupling with the travelling photon mode. This coupling is influenced by the density of states of the travelling photons, and its contribution can be modulated by (theta)34. This effect plays a key role in determining the strength of the dissipative coupling between the FMR and travelling photon modes21.

    The (mathbf{h}) field distribution excited by Port 2 exhibits (180^circ) rotational symmetry relative to the distribution excited by Port 1 (see Supplementary Materials, Fig. S144). This results in different relative angles between the (mathbf{h}) field and the external magnetic field when the rf signal is applied from Port 1 versus Port 2. The variation in these angles alters the torque exerted on the magnetisation, leading to differences in spin precession. As a result, the spin dynamics are asymmetric, producing distinct energy dissipation profiles for (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|), commonly referred to as nonreciprocity21. Specifically, the spin excitation and two-magnon scattering process depend on the rf signal direction, which in turn affects the observed transmission characteristics. This nonreciprocity is important for understanding the directional dependence of damping mechanisms and provides insight into how the system can be controlled through the relative orientations of the (mathbf{h}) field and external magnetic field.

    The intrinsic damping rate of the FMR mode is defined as the total energy dissipation that does not occur through radiative coupling with travelling photons. In our system, the intrinsic damping primarily arises from Gilbert damping and two-magnon scattering, with the latter playing a dominant role. While two-magnon scattering is often classified as an extrinsic mechanism due to its dependence on inhomogeneities, it does not involve photon emission but instead redistributes energy among magnons. As a result, within our framework, two-magnon scattering contributes significantly to the nonradiative damping of the FMR mode, distinguishing it from photon-mediated extrinsic damping. This variation in damping mechanisms plays an important role in modulating the overall system dynamics, further influenced by the asymmetry in the excitation conditions.

    Photon–magnon coupling at (varvec{theta}=0^circ)

    Figure 2 presents (left|{text{S}}_{12}right|) measured at (theta=0^circ). The (:left|{text{S}}_{12}right|) intensity is plotted as a function of both the rf frequency detuning ((varDeltaomega=omega-{omega}_{c})) and field detuning ((varDelta m={omega}_{0}-{omega}_{c})). Figure 2(c) shows the (left|{text{S}}_{12}right|) line profiles as a function of rf frequency detuning, measured at the coupling centre (labelled “III”) and at detuned FMR frequencies (labelled “I”, “II”, “IV”, and “V”). A typical photon–magnon coupling is observed, characterised by a cavity mode with a resonance frequency independent of the external magnetic field, an FMR mode whose resonance frequency increases with the field, and an anti-crossing at the coupling centre (({omega}_{c}={omega}_{0}))2,6,17,40,41,42. Within the anti-crossing region, fine lines parallel to the FMR mode correspond to fine spin wave excitations, which are enhanced due to photon–magnon coupling, consistent with previously reports43. As in previous studies, these fine spin wave excitations are identified by comparison with their calculated dispersion relations rather than quantitative fitting. Their properties and origin have been systematically characterised in the literature43, so our model and fitting analysis is focused on the main hybrid modes relevant to photon and uniform FMR coupling and these fine spin wave excitations are not included in our model. In the spectra, these enhanced fine spin wave excitations appear as sharp peaks at various detuned fields (Fig. 2(c), labelled “II”, “IV”, and “V”), as well as multiple smaller peaks at the coupling centre (labelled “III”).

    As shown in Fig. 2(a), the intensity of the FMR mode rapidly diminishes as the external magnetic field detunes from the coupling centre. The broadened linewidth of the FMR mode in Fig. 3(c) further confirms its high damping rate. This suggests that two-magnon scattering is pronounced when (theta=0^circ), contributing to the broadened linewidth of the FMR mode. Additionally, the FMR mode exhibits a greater intensity when red-detuned compared to blue-detuned, revealing a noticeable asymmetry between the upper and lower branches of the anti-crossing. This asymmetry arises from the dissipative coupling between the travelling photons and the FMR mode21,34. The observed asymmetry suggests weak coupling between the FMR mode and the travelling photons.

    The cavity-FMR coupling interaction in this case can be described as a direct coupling between the cavity and FMR modes, with a coupling strength of g0, while both modes also dissipatively couple to the travelling photon modes. Figure 2(b) presents calculated mappings of the transmission parameters as functions of rf frequency detuning and FMR frequency detuning. These calculations use ({g}_{0}/2pi=240.0) (text{M}text{H}text{z}), ({kappa}_{0}/2pi=138.2) (text{M}text{H}text{z}), and ({gamma}_{0}/2pi=12.6) (text{M}text{H}text{z}), respectively. Intrinsic damping ({kappa}_{0}) here includes the damping owing to the two-magnon scattering, which do not directly couple with travelling photons. Dissipative coupling strength ({{Gamma}}_{0}), typically defined as (sqrt{{gamma}_{c}{gamma}_{0}}), is calculated to be (243.3:text{M}text{H}text{z}) in this case. The fitting successfully reproduces the key features observed in the experimental data, validating the proposed model. The calculated line profiles at various ({Delta}m) are overlaid on the experimental data in Fig. 2(c), demonstrating excellent agreement.

    Fig. 2
    figure 2

    (a) Measured and (b) calculated (left|{text{S}}_{12}right|) at (theta=0^circ), plotted as functions of (varDeltaomega) and (varDelta m), respectively. Dashed lines in (a) and (b) are the real part of the calculated eigenvalues. (c) (left|{text{S}}_{12}right|) line profiles (solid lines) measured at detuned fields (labelled “I” to “V” in (a) and (b)), overlaid with calculated curves (dashed lines). A vertical (45:text{d}text{B}) offset is applied between successive traces for clarity. Lines are a guide to the eye.

    Effect of (theta) on coupling strength and damping rates

    To investigate the dependence of photon–magnon coupling on external magnetic field orientation, we rotate the electromagnets from (0^circ) to (90^circ). Figure 3(a)–(d) presents measured (left|{text{S}}_{12}right|) and (left|{text{S}}_{21}right|) at (45^circ) and (90^circ), respectively. Compared to (left|{text{S}}_{12}right|) at (0^circ) (Fig. 2(a)), ({g}_{0}) decreases with (theta), as indicated by the fitting results (eigenvalues overlaid in Fig. 3(a)). Specifically, ({g}_{0}/2pi) reduces to (215.0) (text{M}text{H}text{z}) at (45^circ), suggesting that the net torque exerted by the (mathbf{h}) field on the magnetisation is weaker than that at (0^circ). Furthermore, the asymmetry between the upper and lower branches of (left|{text{S}}_{12}right|) becomes more pronounced at (45^circ). The upper branch diminishes rapidly as the field increases, whereas the lower branch decreases more gradually as the field decreases. Notably, the lower branch exhibits a higher transmission intensity of (-63.86) (text{d}text{B}) at the coupling centre, compared to (-34.45) (text{d}text{B}) at (0^circ) (Fig. 3(g)). This enhanced transmission and narrower linewidth indicate a reduced FMR damping rate and a weaker two-magnon scattering process. In this work, two-magnon scattering–induced damping is considered part of the intrinsic damping ({kappa}_{0}), as it does not directly couple to traveling photons. In contrast, extrinsic damping refers to radiative coupling between magnons and traveling photons. Fitting results reveal a significantly lower ({kappa}_{0}/2pi) of (25.1) (text{M}text{H}text{z}) for the FMR mode at (45^circ). The increased asymmetry between the upper and lower branches suggests that dissipative coupling between the FMR mode and travelling photons intensifies, while ({kappa}_{0}) decreases with (theta). The fitted ({gamma}_{0}/2pi) rises to (94.2) (text{M}text{H}text{z}) at (45^circ). The cavity-FMR coupling at (45^circ) is calculated using the same method as for (left|{text{S}}_{12}right|) at (0^circ) (fitting result is shown in Supplementary Materials Fig. S344. The ({g}_{0}/2pi) further decreases to (150.0) (text{M}text{H}text{z}) at (90^circ), representing a (37.5%) reduction compared to that at (0^circ). The asymmetry between the upper and lower branches nearly vanishes at (90^circ), indicating weaker dissipative coupling between the FMR mode and travelling photons relative to (45^circ), with a fitted ({gamma}_{0}/2pi) of (6.3) (text{M}text{H}text{z}) (shown in Fig. 3(f)). Meanwhile, the FMR linewidth increases, with the fitted ({kappa}_{0}/2pi) reaching (50.3) (text{M}text{H}text{z}). The corresponding dissipative coupling strengths ({{Gamma}}_{0}) are calculated to be 666.4 MHz at (45^circ) and 172.1 MHz at (90^circ). Conventionally, level attraction is expected when the dissipative coupling exceeds the coherent coupling. However, in our measurements, we consistently observe level repulsion (anti-crossing), even when ({{Gamma}}_{0}>{g}_{0}). We attribute this observation to differences in the treatment of magnon damping in the modelling. In many previous works, the extrinsic magnon damping rate ({gamma}_{0}) is often neglected or approximated for model simplicity and qualifiedly fitting. By contrast, our analysis includes the full damping contributions. As a result, the criterion for observing level attraction becomes more restrictive: the cavity extrinsic damping ({gamma}_{c}) must be significantly larger than the extrinsic magnon damping rate ({gamma}_{0}) (i.e., ({gamma}_{c}gg{gamma}_{0}))21. In our experiments, ({gamma}_{c}) and ({gamma}_{0}) are of comparable magnitude, so the transition to level attraction is not observed, despite the large dissipative coupling strength.

    The coherent coupling strength between the cavity and FMR modes at different field angles ((left|{text{S}}_{12}right|)) is extracted from the model fits and summarised in Fig. 4(a). ({g}_{0}) decreases continuously with (theta), indicating that the net torque exerted by the (mathbf{h}) field on the magnetisation weakens as (theta) increases. This angular dependence approximately follows a cosine function ({g}_{0}left(thetaright)=left[{g}_{0}left(0right)-{g}_{0}left(90right)right]text{cos}theta+{g}_{0}left(90right)). The spatial region of spin precession shifts with (theta). At (0^circ), precession primarily occurs in the cavity arm regions, where the magnetic field is normal to the (mathbf{h}) field, maximising the torque exerted on the magnetisation. At (90^circ), spin precession is concentrated in the transmission line region, where the magnetic field is perpendicular to the (mathbf{h}) field, again maximising the local torque. At intermediate angles, spin precession occurs in both regions. The resulting ({g}_{0}) reflects the cumulative contribution from spin precession across the entire (mathbf{h}) field distribution. Although the (mathbf{h}) field is strongest near the transmission line, the cavity arms cover a much larger area. As a result, ({g}_{0}) is maximised at (0^circ) and minimised at (90^circ).

    The ({kappa}_{0}/2pi) initially decreases sharply from (138.2) (text{M}text{H}text{z}) at (0^circ) to a minimum of (25.1) (text{M}text{H}text{z}) at (45^circ) before gradually increasing to (50.3) (text{M}text{H}text{z}) at (90^circ), representing an overall reduction of over (82%) (Fig. 4(b)). This trend is further evident in the line profiles plotted in Fig. 3(g), where the hybridised mode linewidth decreases with increasing field angle up to (45^circ), exhibiting a sharp dip, before broadening again as (theta) increases. The angular dependence of ({kappa}_{0}) indicates that two-magnon scattering is minimised at (45^circ) in our setup. In contrast, ({gamma}_{0}/2pi) rises steeply from (12.6) (text{M}text{H}text{z}) at (0^circ) to a peak of (94.2) (text{M}text{H}text{z}) at (45^circ), then rapidly declines to (6.3) (text{M}text{H}text{z}) at (90^circ), marking a reduction of over (90%) (Fig. 4(c)). This behaviour suggests that the dissipative coupling between the FMR mode and travelling photon modes is maximised at (45^circ). Dissipative coupling strengths ({{Gamma}}_{0}) as a function of (theta) can be found in Supplementary Materials Fig. S444.

    Fig. 3
    figure 3

    (a)–(d) Measured (left|{text{S}}_{12}right|) and (left|{text{S}}_{21}right|) at (theta=45^circ) and (90^circ), plotted as functions of (varDeltaomega) and (varDelta m), respectively. (e), (f) Corresponding calculated (left|{text{S}}_{21}right|) under the same conditions as (b) and (d), respectively. (g) Measured (left|{text{S}}_{12}right|) at (varDelta m/2pi=0) as a function of (varDeltaomega) for (theta) from (0^circ) to (90^circ). A vertical (45:text{d}text{B}) offset is applied between successive traces for clarity. Lines are a guide to the eye.

    Nonreciprocity induced by nonuniform rf field

    The (left|{text{S}}_{21}right|) measured at (45^circ) exhibits distinct features compared to (left|{text{S}}_{12}right|), highlighting the nonreciprocal nature of the photon–magnon interaction. While (left|{text{S}}_{12}right|) captures the fundamental coupling behaviour of the FMR mode, (left|{text{S}}_{21}right|) reveals additional side couplings at detuned magnetic fields (Fig. 3(b)). These side couplings correspond to strong SWR modes with nonzero (varvec{k}) at detuned FMR frequencies of approximately (-0.40) (text{G}text{H}text{z}), (-0.65) (text{G}text{H}text{z}), and (-1.00) (text{G}text{H}text{z}). This nonreciprocity stems from the asymmetry of the (mathbf{h}) field in the cavity for forward- and backward-propagating waves. As a result, SWR modes with nonzero (varvec{k}) are predominantly excited in (left|{text{S}}_{21}right|) (the resonant frequency of these SWR modes varies with (theta) as shown in Supplementary Materials Fig. S244, while their excitation is suppressed in (left|{text{S}}_{12}right|). This asymmetry further leads to differences in the ({kappa}_{0}) and ({gamma}_{0}) of the FMR mode, resulting in variations in the FMR linewidth and the intensity asymmetry between the upper and lower hybridised branches. The nonuniform (mathbf{h}) field plays a critical role in selectively driving SWR from one direction, producing an effective nonreciprocal response. As the magnetic field detunes from the resonant frequency, these SWR modes vanish rapidly with broad linewidths, indicating their high intrinsic damping rates. The interaction between these SWR modes and the cavity mode is incorporated into our model, with the calculated spectra shown in Fig. 3(e). The selection of SWR modes is primarily guided by the observed spectra, since their excitation is highly complex due to the nonuniform distribution of the (mathbf{h}) field, making it difficult to unambiguously assign a specific wavevector (varvec{k}) to each mode. The parameters used for the SWR fitting can be found in the Supplementary Materials Table S144. The calculations accurately reproduce the asymmetric coupling behaviour observed in (left|{text{S}}_{21}right|). These SWR modes remain observable in (left|{text{S}}_{21}right|) at (theta) ranging from (0^circ) to (60^circ) (see Supplementary Materials Fig. S244, underscoring the role of the nonuniform (mathbf{h}) field and external field angle in driving nonreciprocal magnon-photon coupling.

    At (90^circ), (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|) become nearly identical, indicating a transition to reciprocal behaviour. This suggests that (theta) plays a crucial role in controlling nonreciprocity in a cavity with a nonuniform (mathbf{h}) field. At intermediate angles, such as (45^circ), nonreciprocity arises from the asymmetry between the forward- and backward-propagating waves, which is induced by the relative orientation of the (mathbf{h}) field and the external magnetic field. The nonuniform (mathbf{h}) field, generated by sending signals to Port 1 and Port 2, exhibits (180^circ) rotational symmetry. However, for a given (theta), the angle between the (mathbf{h}) field and the external magnetic field differs for the forward- and backward-propagating waves. This difference in angles leads to variations in the spin precession excitation (including the two-magnon scattering process), which in turn affects the photon–magnon coupling and modulates the reciprocity of the system, transitioning it from nonreciprocal to reciprocal. As (theta) further increases to (90^circ), this asymmetry diminishes (with the spins precessing most significantly within the transmission line), and the system transitions to reciprocal behaviour, as evidenced by the near-identical (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|).

    To quantify the nonreciprocity of our system, we analyse the nonreciprocity difference, defined as ({Delta:}text{S}=left|{text{S}}_{21}right|-left|{text{S}}_{12}right|) (with (left|{text{S}}_{21}right|) and (left|{text{S}}_{12}right|) in (text{d}text{B}) scale). ({Delta:}text{S}) is measured at the lower branch of the hybrid mode ((omega=3.66) GHz) with zero field detuning (({Delta}m/2pi=0)). Figure 4(d) shows ({Delta}text{S}) as a function of (theta). At (0^circ) and (15^circ), (left|{text{S}}_{21}right|) is stronger than (left|{text{S}}_{12}right|), resulting in ({Delta}text{S}<0) (around (-20:text{d}text{B})). At (30^circ), ({Delta}text{S}) is nearly zero, while at (45^circ), the sign of ({Delta}text{S})becomes positive with a large value of (24:text{d}text{B}), indicating that (left|{text{S}}_{12}right|) is now weaker than (left|{text{S}}_{21}right|). As (theta) further increases, ({Delta}text{S}) decreases to nearly zero at (90^circ), demonstrating a transition to reciprocal behaviour. These results demonstrate that microwave transmission in our photon–magnon hybrid system can be controlled by adjusting the magnetic field angle, enabling tunable nonreciprocity. The nonreciprocal behaviour in our study contrasts with previous reports where nonreciprocity was attributed to the direction-dependent relative phase between coherent and dissipative magnon–photon couplings21. In our work, nonreciprocity arises from two contributions: the first is analogous to the mechanism described in21, which is also incorporated into our model. The second and more dominant contribution stems from the differing torques exerted by the nonuniform (mathbf{h}) field on the magnetisation for forward- and backward-propagating waves. This torque difference leads to distinct spin precession dynamics and alters two-magnon scattering, thereby affecting the magnon damping rate. This effect depends on the external magnetic field orientation, providing an additional platform for manipulating the nonreciprocity in the photon–magnon coupling system.

    Fig. 4
    figure 4

    (a) Coherent coupling strength g0 extracted from (left|{text{S}}_{12}right|) as a function of (theta). The solid curve is a fit based on ({g}_{0}left(thetaright)=left[{g}_{0}left(0right)-{g}_{0}left(90right)right]text{cos}theta+{g}_{0}left(90right)). (b) Intrinsic damping rate ({kappa}_{0}/2pi) and (c) extrinsic damping rate ({gamma}_{0}/2pi) of the FMR mode excited by Port 2, as functions of (theta), respectively. (d) Nonreciprocity difference ({Delta}text{S}) as a function of (theta).

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  • Rezk, M. R., Fayed, A. S., Marzouk, H. M. & Abbas, S. S. Potentiometric ion-selective electrodes for determination of cyclopentolate hydrochloride and phenylephrine hydrochloride in their challenging ophthalmic formulation. J. Solid State Electrochem. 22, 3351–3361 (2018).

    CAS 

    Google Scholar 

  • Moaaz, E. M., Abdel-Moety, E. M., Rezk, M. R. & Fayed, A. S. Stability-indicating determination of tedizolid phosphate in the presence of its active form and possible degradants. J. Chromatogr. Sci. 60, 51–60. https://doi.org/10.1093/chromsci/bmab045 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rezk, M. R. & Badr, K. A. Development, optimization and validation of a highly sensitive UPLC–ESI-MS/MS method for simultaneous quantification of amlodipine, Benazeprile and Benazeprilat in human plasma: application to a bioequivalence study. J. Pharm. Biomed. Anal. 98, 1–8 (2014).

    CAS 
    PubMed 

    Google Scholar 

  • Rezk, M. R., Basalious, E. B. & Badr, K. A. Novel determination of Sofosbuvir and velpatasvir in human plasma by UPLC–MS/MS method: application to a bioequivalence study. Biomed. Chromatogr. 32, e4347 (2018).

    PubMed 

    Google Scholar 

  • Rezk, M. R., Safa’a, M. R., Khattab, F. I. & Marzouk, H. M. Multi-residues determination of antimicrobials in fish tissues by HPLC–ESI-MS/MS method. J. Chromatog B. 978, 103–110 (2015).

    Google Scholar 

  • Rezk, M. R. & Badr, K. A. Quantification of amlodipine and Atorvastatin in human plasma by UPLC–MS/MS method and its application to a bioequivalence study. Biomed. Chromatogr. 32, e4224 (2018).

    PubMed 

    Google Scholar 

  • Gouda, A. S., Abdel-Megied, A. M., Rezk, M. R. & Marzouk, H. M. LC-MS/MS-based metabolite quantitation of the antiviral prodrug Baloxavir marboxil, a new therapy for acute uncomplicated influenza, in human plasma: application to a human Pharmacokinetic study. J. Pharm. Biomed. Anal. 223, 115165 (2023).

    CAS 
    PubMed 

    Google Scholar 

  • Mouhamed, A. A., Eltanany, B. M., Mostafa, N. M. & Nadim, A. H. Development of response surface approach for determination of paracetamol, Chlorpheniramine maleate, caffeine and ascorbic acid by green HPLC method: a desirability-based optimization. J. Chromatogr. Sci. bmae024. https://doi.org/10.1093/chromsci/bmae024 (2024).

  • Hussein, O. G. et al. Arduino-based portable point-of-care colorimetric glucose biosensor using nanozyme with enhanced peroxidase-like activity. Talanta Open, 100519 (2025).

  • Bobacka, J., Ivaska, A. & Lewenstam, A. Potentiometric ion sensors. Chem. Rev. 108, 329–351 (2008).

    CAS 
    PubMed 

    Google Scholar 

  • Kadara, R. O., Jenkinson, N. & Banks, C. E. Characterization and fabrication of disposable screen printed microelectrodes. Electrochem. Commun. 11, 1377–1380 (2009).

    CAS 

    Google Scholar 

  • Rezk, M. R., Fayed, A. S., Marzouk, H. M. & Abbas, S. S. Green ion selective electrode potentiometric application for the determination of Cinchocaine hydrochloride in presence of its degradation products and betamethasone valerate: a comparative study of liquid and solid inner contact ion-selective electrode membranes. J. Electrochem. Soc. 164, H628 (2017).

    CAS 

    Google Scholar 

  • Elghobashy, M. R., Mahmoud, A. M., Rezk, M. R. & El-Rahman, M. K. A. Strategy for fabrication of stable Tramadol solid-contact ion-selective potentiometric sensor based on polyaniline nanoparticles. J. Electrochem. Soc. 162, H1–H5 (2014).

    Google Scholar 

  • Bakker, E. & Pretsch, E. Potentiometric sensors for trace-level analysis. Trends Anal. Chem. 24, 199–207 (2005).

    CAS 

    Google Scholar 

  • Fibbioli, M., Morf, W. E., Badertscher, M., de Rooij, N. F. & Pretsch, E. Potential drifts of solid contacted ion selective electrodes due to zero current ion fluxes through the sensor membrane. Electroanalysis 12, 1286–1292 (2000).

    CAS 

    Google Scholar 

  • Hussein, O. G. et al. Novel solid-contact ion-selective electrode based on a polyaniline transducer layer for determination of alcaftadine in biological fluid. RSC Adv. 13, 7645–7655 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Fenelon, A. M. & Breslin, C. B. The electrochemical synthesis of polypyrrole at a copper electrode: corrosion protection properties. Electrochim. Acta. 47, 4467–4476 (2002).

    CAS 

    Google Scholar 

  • Mahmoud, A. M., El-Rahman, M. K. A., Elghobashy, M. R. & Rezk, M. R. Carbon nanotubes versus polyaniline nanoparticles; which transducer offers more opportunities for designing a stable solid contact ion-selective electrode. J. Electroanal. Chem. 755, 122–126 (2015).

    CAS 

    Google Scholar 

  • Moaaz, E. M., Mahmoud, A., Fayed, A. S., Rezk, M. R. & Abdel-Moety, E. M. Determination of tedizolid phosphate using graphene nanocomposite based solid contact ion selective electrode; green profile assessment by eco-scale and GAPI approach. Electroanalysis 33, 1895–1901. https://doi.org/10.1002/elan.202100067 (2021).

    Article 
    CAS 

    Google Scholar 

  • Mahmoud, A. M., Moaaz, E. M., Rezk, M. R., Abdel-Moety, E. M. & Fayed, A. S. Microfabricated solid‐contact potentiometric sensor for determination of tedizolid phosphate, application to content uniformity testing. Electroanalysis 35, e202200115. https://doi.org/10.1002/elan.202200115 (2023).

    Article 
    CAS 

    Google Scholar 

  • Saad, M. N., Marzouk, H. A. M., Amer, S. M., El-Sherbiny, I. M. & Mahmoud, A. M. Computationally optimized graphene-based electrochemical sensor with enhanced signal stability for the determination of the antimicrobial agent 9-aminoacridine. J. Electrochem. Soc. 171 107511, doi:http://doi.10.1149/-7111/ad8522 (2024). (1945).

  • Brownson, D. A. C. & Banks, C. E. Graphene electrochemistry: an overview of potential applications. Analyst 135, 2768–2778 (2010).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Alwarappan, S., Liu, C., Kumar, A. & Li, C. Z. Enzyme-doped graphene nanosheets for enhanced glucose biosensing. J. Phys. Chem. C. 114, 12920–12924 (2010).

    CAS 

    Google Scholar 

  • Hummers, W. S. Jr & Offeman, R. E. Preparation of graphitic oxide. J. Am. Chem. Soc. 80, 1339–1339 (1958).

    CAS 

    Google Scholar 

  • Guardia, L. et al. High-throughput production of pristine graphene in an aqueous dispersion assisted by non-ionic surfactants. Carbon 49, 1653–1662 (2011).

    CAS 

    Google Scholar 

  • Li, J., Guo, S., Zhai, Y. & Wang, E. Nafion-graphene nanocomposite film as enhanced sensing platform for ultrasensitive determination of cadmium. Electrochem. Commun. 11, 1085–1088 (2009).

    CAS 

    Google Scholar 

  • Sattarahmady, N., Heli, H. & Moradi, S. E. Cobalt hexacyanoferrate/graphene nanocomposite application for the electrocatalytic oxidation and amperometric determination of Captopril. Sens. Actuators B Chem. 177, 1098–1106 (2013).

    ADS 
    CAS 

    Google Scholar 

  • Schedin, F. et al. Detection of individual gas molecules adsorbed on graphene. Nat. Mater. 6, 652–655 (2007).

    ADS 
    CAS 
    PubMed 

    Google Scholar 

  • Shan, C. et al. Direct electrochemistry of glucose oxidase and biosensing for glucose based on graphene. Anal. Chem. 81, 2378–2382 (2009).

    CAS 
    PubMed 

    Google Scholar 

  • Li, T., Yang, M. & Li, H. Label-free electrochemical detection of cancer marker based on graphene-cobalt hexacyanoferrate nanocomposite. J. Electroanal. Chem. 655, 50–55 (2011).

    CAS 

    Google Scholar 

  • Itaya, K., Ataka, T. & Toshima, S. Spectroelectrochemistry and electrochemical Preparation method of Prussian blue modified electrodes. J. Am. Chem. Soc. 104, 4767–4772 (1982).

    CAS 

    Google Scholar 

  • Fayez, Y. M., Mahmoud, A. M., Morcos, M. N., Goda, Z. M. & Boltia, S. H. Stable Solid-State microfabricated potentiometric sensor based on Chitosan-Prussian blue nanocomposite film for amlodipine selective detection. J Electrochem. Soc (2021).

  • Kulesza, P. J. et al. Electrochemical charging, countercation accommodation, and spectrochemical identity of microcrystalline solid Cobalt hexacyanoferrate. J. Phys. Chem. B. 102, 1870–1876 (1998).

    CAS 

    Google Scholar 

  • Yang, M. et al. Carbon nanotube/cobalt hexacyanoferrate nanoparticle-biopolymer system for the fabrication of biosensors. Biosens. Bioelectron. 21, 1791–1797 (2006).

    CAS 
    PubMed 

    Google Scholar 

  • Rebelo, T. S., Almeida, S. A., Guerreiro, J. R. L., Montenegro, M. C. B. & Sales, M. G. F. Trimethoprim-selective electrodes with molecularly imprinted polymers acting as ionophores and potentiometric transduction on graphite solid-contact. Microchem J. 98, 21–28. https://doi.org/10.1016/j.microc.2010.10.006 (2011).

    Article 
    CAS 

    Google Scholar 

  • Cao, Y., Feng, T., Xu, J. & Xue, C. Recent advances of molecularly imprinted polymer-based sensors in the detection of food safety hazard factors. Biosens. Bioelectron. 141, 111447. https://doi.org/10.1016/j.bios.2019.111447 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Yan, H. & Row, K. H. Characteristic and synthetic approach of molecularly imprinted polymer. Int. J. Mol. Sci. 7, 155–178. https://doi.org/10.3390/i7050155 (2006).

    Article 
    CAS 

    Google Scholar 

  • Wei, Y., Tang, Q., Gong, C. & Lam, M. H. W. Review of the recent progress in photoresponsive molecularly imprinted polymers containing Azobenzene chromophores. Anal. Chim. Acta. 900, 10–20. https://doi.org/10.1016/j.aca.2015.10.022 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Zhao, G. et al. Synthesis of molecularly imprinted polymer via emulsion polymerization for application in Solanesol separation. Appl. Sci. 10, 2868. https://doi.org/10.3390/app10082868 (2020).

    Article 
    CAS 

    Google Scholar 

  • Soliman, S. S., Mahmoud, A. M., Elghobashy, M. R., Zaazaa, H. E. & Sedik, G. A. Point-of-care electrochemical sensor for selective determination of date rape drug ketamine based on core-shell molecularly imprinted polymer. Talanta 254, 124151. https://doi.org/10.1016/j.talanta.2022.124151 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Wadie, M., Marzouk, H. M., Rezk, M. R., Abdel-Moety, E. M. & Tantawy, M. A sensing platform of molecular imprinted polymer-based polyaniline/carbon paste electrodes for simultaneous potentiometric determination of Alfuzosin and Solifenacin in binary co-formulation and spiked plasma. Anal. Chim. Acta. 1200, 339599. https://doi.org/10.1016/j.aca.2022.339599 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Hassan, A. M., Kelani, K. M., Hegazy, M. A. & Tantawy, M. A. Molecular imprinted polymer-based potentiometric approach for the assay of the co-formulated Tetracycline hcl, metronidazole and bismuth subcitrate in capsules and spiked human plasma. Anal. Chim. Acta. 1278, 341707. https://doi.org/10.1016/j.aca.2023.341707 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Wadie, M., Abdel-Moety, E. M., Rezk, M. R., Mahmoud, A. M. & Marzouk, H. M. Electro-polymerized poly-methyldopa as a novel synthetic mussel-inspired molecularly imprinted polymeric sensor for darifenacin: computational and experimental study. Appl. Mater. Today. 29, 101595. https://doi.org/10.1016/j.apmt.2022.101595 (2022).

    Article 

    Google Scholar 

  • Saad, M. N. et al. Computationally guided fabrication of Chlorpyrifos electrochemical sensor based on molecularly imprinted polymer decorated with Au nanoparticles. Talanta Open, 100457 (2025).

  • Zhang, J., Wang, Y. & Lu, X. Molecular imprinting technology for sensing foodborne pathogenic bacteria. Anal. Bioanal Chem. 413, 4581–4598. https://doi.org/10.1007/s00216-020-03138-x (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Holm, K. J. & Spencer, C. M. Bupropion: a review of its use in the management of smoking cessation. Drugs 59, 1007–1024. https://doi.org/10.2165/00003495-200059040-00019 (2000).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Lobmaier, P. P., Kunøe, N., Gossop, M. & Waal, H. Naltrexone depot formulations for opioid and alcohol dependence: a systematic review. CNS Neurosci. Ther. 17, 629–636. https://doi.org/10.1111/j.1755-5949.2010.00194.x (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rueda-Clausen, C. F., Padwal, R. S. & Sharma, A. M. New Pharmacological approaches for obesity management. Nat. Rev. Endocrinol. 9, 467–478. https://doi.org/10.1038/nrendo.2013.113 (2013).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ch, P. R., Chaitanya, D. & Prasanthi, B. RP-HPLC and spectrophotometric methods for the simultaneous Estimation of bupropion HCl and Naltrexone HCl. Int. J. Pharm. Sci. 6 (7), 2982–2990. https://doi.org/10.13040/IJPSR.0975-8232.6 (2015).

    Article 

    Google Scholar 

  • Srikalyani, V., Tejaswi, M., Srividya, P. & Nalluri, B. N. Simultaneous analysis of Naltrexone hydrochloride and bupropion hydrochloride in bulk and dosage forms by RP-HPLC-PDA method. J. Chem. Pharm. 5, 429–435 (2013).

    Google Scholar 

  • Haritha, A., Kumar, P. B. R., Priya, R. V. & Sekhar, K. Analytical method development and validation for simultaneus Estimation of Naltrexone hydrochloride and bupropion hydrochloride in oral dosage form (tablets) by RP-HPLC techniques. J. Global Trends Pharmaceut Sci. 6, 2600–2606 (2015).

    CAS 

    Google Scholar 

  • Trivedi, A., Dixit, N. & Jhade, D. Modified high performance liquid chromatography analysis for bupropion and Naltrexone in bulk and tablets by using green mobilephase. Res. J. Pharm. Technol. 10, 3317–3322 (2017).

    Google Scholar 

  • Abdel-Gawad, S. A. & El-Gamal, R. M. Simultaneous determination of Naltrexone and bupropion in their co-formulated tablet utilizing green chromatographic approach with application to human urine. Saudi Pharm. J. 26, 169–176. https://doi.org/10.1016/j.jsps.2017.12.014 (2018).

    Article 
    PubMed 

    Google Scholar 

  • Moaaz, E. M., Abdel-Moety, E. M., Rezk, M. R. & Fayed, A. S. An eco-friendly smartphone based HPTLC method versus conventional densitometric one for determination of Naltrexone and bupropion. BMC Chem. 18, 185. https://doi.org/10.1186/s13065-024-01285-1 (2024).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • PATEL, P. & MASTER, S. Development and validation of first order derivative UV spectrophotometric method for simultaneous Estimation of bupropion and Naltrexone in combination. J. Pharm. Res. 26, 1341–1345 (2014).

    Google Scholar 

  • Ramnadh, B. & Vikas, C. Simultaneous Estimation of Naltrexone and bupropion in pharmaceutical dosage form by using UV spectroscopy. World J. Biology Pharm. Health Sci. 1, 033–041. https://doi.org/10.30574/wjbphs.2020.1.1.0005 (2020).

    Article 

    Google Scholar 

  • Ganjali, M., Mizani, F. & Norouzi, P. MWCNTs based carbon paste and PVC membrane potentiometric electrodes for monitoring of bupropion hydrochloride. Int. J. Electrochem. Sci. 7, 7631–7642. https://doi.org/10.1016/S1452-3981(23)15811-1 (2012).

    Article 
    CAS 

    Google Scholar 

  • Saini, R., Doi, S., Jhankal, K. & Sharma, D. Adsorptive stripping voltammetric determination of bupropion in pharmaceuticals. Chem. Sci. Trans. 6, 330–338, doi:http://doi.10.7598/cst1371 (2017). (2017).

  • Jafari, S., Dehghani, M., Nasirizadeh, N., Azimzadeh, M. & Banadaki, F. D. Electrochemical detection of bupropion drug using nanocomposite of molecularly imprinted polyaniline/au nanoparticles/graphene oxide. Bull. Mater. Sci. 44, 56. https://doi.org/10.1007/s12034-020-02348-4 (2021).

    Article 
    CAS 

    Google Scholar 

  • Madej, M. et al. Electrochemical sensing platform based on screen-printed carbon electrode modified with plasma polymerized acrylonitrile nanofilms for determination of bupropion. Microchim Acta. 190, 391. https://doi.org/10.1007/s00604-023-05971-0 (2023).

    Article 
    CAS 

    Google Scholar 

  • Algmaal, S. E., Mahmoud, A. M., Boltia, S. A., El-Saharty, Y. S. & Ghoniem, N. S. Eco-friendly bupropion detection sensor with co-formulated dextromethorphan in AUVELITY tablet and spiked plasma. Sci. Rep. 14, 29305. https://doi.org/10.1038/s41598-024-80227-2 (2024).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Pena-Pereira, F., Wojnowski, W. & Tobiszewski, M. AGREE—Analytical greenness metric approach and software. Anal. Chem. 92, 10076–10082 (2020).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Nowak, P. M., Wietecha-Posłuszny, R. & Pawliszyn, J. White analytical chemistry: an approach to reconcile the principles of green analytical chemistry and functionality. Trends Analyt Chem. 138, 116223. https://doi.org/10.1016/j.trac.2021.116223 (2021).

    Article 
    CAS 

    Google Scholar 

  • Mansour, F. R., Płotka-Wasylka, J., Locatelli, M. & Modified GAPI (MoGAPI) tool and software for the assessment of method greenness: case studies and applications. Analytica 5, 451–457. https://doi.org/10.3390/analytica5030030 (2024).

    Article 

    Google Scholar 

  • Mahony, J., Nolan, K., Smyth, M. & Mizaikoff, B. Molecularly imprinted polymers—potential and challenges in analytical chemistry. Anal. Chim. Acta. 534, 31–39. https://doi.org/10.1016/j.aca.2004.07.043 (2005).

    Article 
    CAS 

    Google Scholar 

  • Ramnadh, B. & Vikas, C. Simultaneous estimation of naltrexone and bupropion in pharmaceutical dosage form by using UV spectroscopy. WJBPHS 1, 033–041, (2020). https://doi.org/10.30574/wjbphs.2020.1.1.0005

  • Knox, C. et al. CM, DrugBank 6.0: the DrugBank knowledgebase Nucleic Acids Res. 5;52(D1):D1265-D1275., doi: http://doi.10.1093/nar/gkad976 (2024).

  • Wishart, D. S. et al. DrugBank: a comprehensive resource for in Silico drug discovery and exploration. Nucleic Acids Res. 34, D668–D672 (2006).

    CAS 
    PubMed 

    Google Scholar 

  • Moaaz, E. M., Fayed, A. S., Rezk, M. R. & Abdel-Moety, E. M. Differential pulse voltammetric method for determination of Acemetacin in pharmaceutical formulation using glassy carbon electrode. Anal Bioanal Electrochem (2021).

  • Gemene, K. L., Shvarev, A. & Bakker, E. Selectivity enhancement of anion-responsive electrodes by pulsed chronopotentiometry. Anal. Chim. Acta. 583, 190–196. https://doi.org/10.1016/j.aca.2006.09.042 (2007).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Alenazi, N. A., Manthorpe, J. M. & Lai, E. P. Selectivity enhancement in molecularly imprinted polymers for binding of bisphenol A. Sensors 16, 1697. https://doi.org/10.3390/s16101697 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Arvand, M. & Samie, H. A. A biomimetic potentiometric sensor based on molecularly imprinted polymer for the determination of memantine in tablets. Drug Test. Anal. 5, 461–467. https://doi.org/10.1002/dta.371 (2013).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Mahmoud, A. M., El-Ragehy, N. A., Hegazy, M. A., Tawfik, S. A. & Sedik, G. A. Electrochemical sensor doped with core-shell structured molecularly imprinted polymer proposed for therapeutic drug monitoring of Trazodone hydrochloride. Talanta Open. 11, 100406. https://doi.org/10.1016/j.talo.2025.100406 (2025).

    Article 

    Google Scholar 

  • Moaaz, E. M., Fayed, A. S., Abdel-Moety, E. M. & Rezk, M. R. Innovative sensors with selectivity enhancement by molecularly imprinted polymers for the concurrent quantification of donepezil and memantine. RSC Adv. 15, 18475–18489. https://doi.org/10.1039/d5ra02850g (2025).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Thommes, M. et al. Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC technical Report). Pure Appl. Chem. 87, 1051–1069. https://doi.org/10.1515/pac-2014-1117 (2015).

    Article 
    CAS 

    Google Scholar 

  • Brunauer, S., Emmett, P. H. & Teller, E. Adsorption of gases in multimolecular layers. J. Am. Chem. Soc. 60, 309–319. https://doi.org/10.1021/ja01269a023 (1938).

    Article 
    ADS 
    CAS 

    Google Scholar 

  • Olivier, J. P. Modeling physical adsorption on porous and nonporous solids using density functional theory. J. Porous Mater. 2, 9–17. https://doi.org/10.1007/BF00486565 (1995).

    Article 
    CAS 

    Google Scholar 

  • Dorkó, Z., Szakolczai, A., Verbić, T. & Horvai, G. Binding capacity of molecularly imprinted polymers and their nonimprinted analogs. J. Sep. Sci. 38, 4240–4247. https://doi.org/10.1002/jssc.201500874 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Mousavi, M. P., Abd El-Rahman, M. K., Mahmoud, A. M., Abdelsalam, R. M. & Bühlmann, P. In situ sensing of the neurotransmitter acetylcholine in a dynamic range of 1 nM to 1 mM. ACS Sens. 3, 2581–2589. https://doi.org/10.1021/acssensors.8b00950 (2018).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Buck, R. P. & Lindner, E. Recommendations for nomenclature of ionselective electrodes (IUPAC recommendations 1994). Pure Appl. Chem. 66, 2527–2536 (1994).

    CAS 

    Google Scholar 

  • Lindner, E. & Umezawa, Y. Performance evaluation criteria for Preparation and measurement of macro-and microfabricated ion-selective electrodes (IUPAC technical Report). Pure Appl. Chem. 80, 85–104. https://doi.org/10.1351/pac200880010085 (2008).

    Article 
    CAS 

    Google Scholar 

  • Elghobashy, M. R. & Rezk, M. R. Comparative study of different ionophores in ion selective electrodes for stability indicating determination of Moxifloxacin. Anal. Bioanal Electrochem. 6, 461–474 (2014).

    Google Scholar 

  • Hussein, O. G. et al. Potentiometric ion-selective electrode for the determination of antazoline in different formulations and biological fluids using biomimetic receptors. Curr Anal. Chem (2025).

  • Moaaz, E. M., Abdel-Moety, E. M., Rezk, M. R. & Fayed, A. S. Eco-friendly chromatographic methods for determination of Acemetacin and indomethacin; greenness profile assessment. J. AOAC Int. 104, 1485–1491. https://doi.org/10.1093/jaoacint/qsab085 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Moaaz, E. M., Abdel-Moety, E. M., Rezk, M. R. & Fayed, A. S. Smartphone based TLC approach versus conventional densitometric measurement for the simultaneous determination of donepezil and memantine, content uniformity testing along with greenness and whiteness assessment. Sustain. Chem. Pharm. 42, 101789. https://doi.org/10.1016/j.scp.2024.101789 (2024).

    Article 
    CAS 

    Google Scholar 

  • Moaaz, E. M., Fayed, A. S., Abdel-Moety, E. M. & Rezk, M. R. Molecularly-imprinted polymer-based electrochemical sensor for indirect determination of memantine: greenness and whiteness assessment. J. Electrochem. Soc. 172 https://doi.org/10.1149/1945-7111/adad49 (2025).

  • Mouhamed, A. A., Nadim, A. H., Mostafa, N. M. & Eltanany, B. M. Application of smart chemometric models for spectra resolution and determination of challenging multi-action quaternary mixture: statistical comparison with greenness assessment. BMC Chem. 18, 44 (2024).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

Continue Reading

  • Starian Secures Over US$ 115 Million (R$ 640 Million) Investment from General Atlantic to Accelerate Growth

    Starian Secures Over US$ 115 Million (R$ 640 Million) Investment from General Atlantic to Accelerate Growth

    Funding follows the launch of Starian as an independent multi-vertical software provider to the private sector in June 2025

    Starian intends to use this capital to pursue organic growth and accretive M&A, strengthen its product offerings, and expand into new business verticals

    Florianópolis, August 22, 2025 –Starian (or “the Company”), a leading multi-vertical software provider to the private sector in Brazil, announced that it has secured R$ 640 million (over US$ 115 million) in strategic funding from General Atlantic, a leading global investor. This investment follows the carve-out of Starian from Softplan, one of the largest SaaS technology companies in Brazil, in June 2025. Following the division of operations into two independent businesses, Starian manages all private sector solutions from Softplan, while Softplan continues to focus exclusively on the public sector.

    Starian develops highly specialized vertical software ecosystems to provide end-to-end Software as a Service (SaaS) solutions to private sector businesses in Brazil across three verticals: Construction, built around the Sienge Ecosystem; Legal Intelligence, spearheaded by the Projuris brand; and Operational Efficiency, supported by the operations of the Checklist Fácil and Runrun.it brands. In each of these software verticals, Starian has established itself as a trusted partner in industries that remain fragmented and underpenetrated, with digital adoption still in its early stages. Starian distinguishes itself through its comprehensive functional coverage, localized customer support, and its unique ability to address Brazil’s complex regulatory and compliance requirements, creating deep workflow integrations and durable customer relationships.   

    “Over more than 30 years, we have built a solid foundation that validates our strategy of reinforcing the vertical SaaS model. Now, with a fully autonomous operation and General Atlantic’s funding—bringing not just capital but also global expertise in technology—we can unlock our growth potential faster, strengthen our leadership in existing business units, and expand into new verticals,” said Ionan Fernandes, CEO of Starian.

    Starian currently boasts an initial portfolio of more than 16,000 clients. As it begins on its next stage of growth in partnership with General Atlantic, Starian intends to further pursue organic growth and accretive M&A to expand its capabilities, strengthen its product offerings, and explore new business verticals. 

    “The software landscape in Brazil remains fragmented, and the market is vastly underserved,” said Rodrigo Catunda, Managing Director and Co-Head of General Atlantic in Brazil. “We see Starian as a unique player poised to lead the consolidation of vertical software in Brazil, combining industry-leading products, professionalized management, and a disciplined integration strategy. We are excited to support the company in this new phase of accelerated growth, with a focus on acquisitions and long-term value creation.”

    With the signing of the Share Purchase Agreement (SPA), the transaction’s closing remains subject to customary market conditions, including regulatory approvals and other steps outlined in the timeline.

    About Starian

    Starian is a leading Brazilian multi-vertical software platform operating across three core verticals: Construction, Legal Intelligence, and Operational Efficiency. Starian focuses on building comprehensive ecosystems within its verticals to create winner end-to-end solutions across its market segments. With over 34 years serving the private sector, the company has a workforce of more than 1,500 employees and aims to support 20,000 clients by 2025.

    About General Atlantic

    General Atlantic is a leading global investor with over four decades of experience providing capital and strategic support to more than 830 companies throughout its history. Founded in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create long-term value. The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Credit, Climate, and Infrastructure strategies. General Atlantic manages approximately $114 billion in assets under management, inclusive of all strategies, as of June 30, 2025, with more than 900 professionals in 20 counties across five regions. For more information on General Atlantic, please visit: www.generalatlantic.com

    Contacts

    Starian
    [email protected] 

    General Atlantic
    Sara Widmann & Jess Gill
    [email protected]

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  • 5 Key Skills to Lead Through Disruption – Harvard Business Review

    5 Key Skills to Lead Through Disruption – Harvard Business Review

    1. 5 Key Skills to Lead Through Disruption  Harvard Business Review
    2. Purpose is the North Star: Why mission-driven companies are thriving in the age of AI  ImpactAlpha
    3. Steering Through Disruption: Strategic Choices in an Ever-Changing Tech Landscape  Vocal
    4. How I Built a Business That Thrives Through Constant Disruption — and How You Can Too  Entrepreneur
    5. Change, Technology, and the Wisdom We Carry Forward  The Washington Informer

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  • Tech frenemies: Meta strikes a $10+ billion AI cloud deal with rival Google

    Tech frenemies: Meta strikes a $10+ billion AI cloud deal with rival Google

    By Christine Ji

    Meta has signed a six-year deal to use Google’s cloud-computing services as it builds out its AI infrastructure

    As Meta races to “build personal superintelligence,” it taps cloud computing resources from Google.

    Meta Platforms Inc. has signed a $10+ billion cloud deal with Alphabet Inc.’s Google to build out its artificial-intelligence infrastructure.

    Meta (META) will use Google’s (GOOGL) (GOOG) cloud-computing services for the duration of the six-year contract, The Information reported.

    The deal counters speculation about a pullback in Meta’s AI ambitions, which followed news that the company had frozen hiring in its AI unit.

    The deal highlights just how intense the AI arms race between the biggest tech companies has become. In July, Meta Chief Executive Mark Zuckerberg said that the company was planning to invest “hundreds of billions of dollars” to develop superintelligence. Meta is building two massive data centers, named Prometheus and Hyperion, which will both provide multiple gigawatts of capacity. The company has also aggressively poached top AI talent from OpenAI and invested $14.3 billion into AI startup Scale AI.

    The sheer scale of developing AI often results in rivals teaming up. While Meta is building out its own data centers, Prometheus isn’t expected to come online until 2026, and Hyperion will take until 2030 to be ready. In the meantime, Meta is looking for immediate access to AI infrastructure through its agreement with Google. To accelerate its timeline, Meta is taking creative measures by housing temporary data-center capacity in tents, the company confirmed last month.

    Earlier this year, OpenAI also partnered up with Google to access its cloud infrastructure. The AI startup had previously exclusively used Microsoft Corp.’s (MSFT) cloud-computing services due to Microsoft’s significant stake in OpenAI. But as compute demand outpaced supply, OpenAI tapped into outside sources.

    Last month, Meta announced during its second-quarter earnings report that it expects total capital expenditures for 2025 to be between $114 billion and $118 billion.

    Representatives from Meta and Google did not immediately respond to MarketWatch’s request for comment.

    Also read: This is the critical detail that could unravel the AI trade: Nobody is paying for it.

    -Christine Ji

    This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal.

    (END) Dow Jones Newswires

    08-22-25 0926ET

    Copyright (c) 2025 Dow Jones & Company, Inc.

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  • Analysts Suggest ChatGPT Web Power Is Fading to Old Search Giants

    Analysts Suggest ChatGPT Web Power Is Fading to Old Search Giants

    AI-driven referral traffic is undergoing a significant transformation. Since July 21, referrals from ChatGPT to various websites have plummeted by 52%. It is a major shift sparked by changes in how the platform gathers and prioritizes information. This analysis, which looked at over a billion citations and a million referral visits, shows a clear trend towards platforms like Reddit, Wikipedia, and TechRadar as preferred sources for quick answers.

    Josh Blyskal from Profound has shed some light on the situation:

    Citations from Reddit have skyrocketed by 87% since July 23, now making up over 10% of all ChatGPT citations.

    Wikipedia has also seen a 62% increase from its low in July, reaching nearly 13% of the share.

    When combined with TechRadar, these three sites now account for 22% of all citations, a remarkable 53% rise in just a month.

    This shift started even before the release of GPT-5, suggesting that the changes in citation weighting are intentional rather than a result of modifications to the underlying model.

    OpenAI’s reshuffling of citations seems to favor communities that provide straightforward answers, boosting the visibility of general informative sources while pushing branded content further down the list. Blyskal advises brands to shift their focus from conversion-driven messaging to creating valuable, educational content that addresses the actual questions users are asking.

    Multiple analyses highlight the instability of ChatGPT referrals and emphasize the increasing need to optimize content specifically for visibility in AI.

    On a broader scale, industry leaders like Cloudflare CEO Matthew Prince are warning that these trends could jeopardize the traditional internet model that relies on referral traffic. As AI “answer engines” take over search navigation, content creators might find themselves losing crucial visibility, and revenue.

    News publishers are also feeling the pinch, facing a decline in organic traffic not only from AI platforms but from traditional sources as well. Google’s AI Overviews have cut referral traffic by as much as 25%, making it even tougher for publishers to maintain their audience.

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  • James D. Chalmers, MBChB, PhD

    James D. Chalmers, MBChB, PhD

    In part 2 of an interview with James D. Chalmers, MBChB, PhD, professor of respiratory medicine at the University of Dundee in Scotland, he expands upon the safety and tolerability profile of brensocatib (Brinsupri; Insmed), which received FDA approval last week for the treatment of patients with non–cystic fibrosis bronchiectasis.

    Watch part 1 to hear his insights on the ASPEN trial (NCT04594369) that supported this approval and how the therapy may change the treatment landscape for this patient population.

    This transcript has been lightly edited for clarity; captions are auto-generated.

    Transcript

    What should clinicians know about the safety and tolerability profile of brensocatib? How do you expect it to be managed in practice?

    The safety was very reassuring. The incidence of adverse events—which is always what we look for in clinical trials—and serious adverse events were very similar between the placebo group and the 2 treatment groups, so there was no evidence that there was any significant safety issue.

    We particularly look for the frequency of infections because, I think, clinicians, when they hear that you’ve got an anti-inflammatory drug, they think, “Oh, is that going to increase the risk of infection?” The really reassuring thing to let everyone know is that there was no increased risk of pneumonia or other types of infections, which is remarkable for a treatment that targets the neutrophil as an anti-inflammatory approach. That’s also really reassuring.

    There is this rare genetic condition called Papillon-Lefèvre syndrome, which is incredibly rare, and it’s caused by a knockout in this gene called dipeptidyl peptidase 1, which is the mechanism of action of the drug. We look very carefully for dental adverse effects and skin adverse effects, because those are the manifestations of that disease.

    We don’t see any dental issues in the trial, and there were no clinically significant issues either in the phase 2 trial from a dental point of view. The only thing that really showed up in the phase 3 trial was this slightly higher frequency of hyperkeratosis. Just to put that in some context for your viewers, there were 4 cases in the placebo group, 8 cases in the 10 mg group, and 16 cases in the 25 mg group.

    When you consider that there are more than 500 patients in each of those arms, these are quite rare [adverse] effects. Importantly, they were mild and manageable. There was actually only 1 patient in the whole trial who discontinued because of their hyperkeratosis as an adverse effect.

    In practice, I don’t think we’re going to have any significant issues with this. Some patients will develop a bit of hyperkeratosis that seems to respond in the trial to a treatment interruption; it just goes away. That’s how I would expect to manage it in clinical practice.

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  • 10 things to watch in the stock market Friday including the Fed and Nvidia’s China plans

    10 things to watch in the stock market Friday including the Fed and Nvidia’s China plans

    Continue Reading

  • Alibaba.com Honors Pakistan’s Top Exporters, Unveils Major Trade Assurance Upgrade

    Alibaba.com Honors Pakistan’s Top Exporters, Unveils Major Trade Assurance Upgrade

    Alibaba.com, a leading global business-to-business (B2B) e-commerce platform, today celebrated the nation’s top e-commerce businesses at the KEL Awards 2025 ceremony while launching its enhanced Trade Assurance 2.0 service in Pakistan. The event brought together key industry leaders, including Omer Khalid, Vice President of SCCI and Sayyed Ahmad Masud, Project Director of the National Incubation Center Islamabad, to honor local exporters who have leveraged Alibaba.com to transform their operations and expand their businesses globally.

    The launch of Trade Assurance 2.0 was a key highlight, introducing major enhancements designed to empower Pakistani exporters. This updated service directly addresses their needs by offering reduced transaction fees, free withdrawals, higher order and credit limits, and more payment options, empowering local businesses to conduct international trade with greater efficiency and security.

    “Pakistan represents a high-potential supplier market for Alibaba.com, boasting robust production capabilities and a diverse range of product categories that capture substantial global buyer interest. To capitalize on this potential, we have deliberately upgraded Trade Assurance 2.0 to provide suppliers with the essential tools to overcome challenges related to cost and credit. This service is designed to enable Pakistani businesses to secure higher-value orders and drive substantial growth in their global operations.” said Summer Gao, Head of Global Supply Chain Services at Alibaba.com.

    Honoring Pakistan’s Top Global Exporters

    The KEL Awards 2025 showcased the remarkable achievements of six Pakistan’s top e-commerce finalists, each delivering insightful presentations on the strategies that fueled their success on the Alibaba.com platform. The ceremony honored top performers across a wide range of sectors, from apparel to surgical goods, with winners recognized in two categories, Global Trade Innovators and E-commerce Export Masters.

    This year’s top honors of Alibaba.com Pakistan Key E-commerce Leader were awarded to Mr. Muhammad Usman Humayun from Gray Rocks Enterprise, Mr. Haider Ali from IMPEX Pakistan, and Mr. Muhammad Azam Rahmat from Mangoes Fashion. Additionally, the event featured a People’s Choice Award for 2025, which was presented to Mr. Muhammad Wasim from Blue Hands International based on audience voting. The finalists were evaluated by a distinguished judging panel with the challenging mission of selecting the winners including, Omer Khalid (Vice President of SCCI), Sayyed Ahmad Masud (Project Director of National Incubation Center Islamabad), Usman Chughtai (Key E-commerce Influencer), Berry Ma (Head of Pakistan Business, Alibaba.com), Summer Gao (Head of Global Supply Chain, Alibaba.com).

    Berry Ma, Head of Pakistan Business at Alibaba.com, emphasized the significance of the awards, stating, “The Pakistan KEL Awards are more than just a competition. They’re a powerful celebration of the ingenuity and resilience of Pakistan SMEs. We’re honored to provide a platform that enables exporters to not only succeed but also inspire. These finalists prove that with the right tools, Pakistani businesses can push the boundaries of global trade and seize opportunities in the global marketplace.”

    One of the six finalists, Muhammad Azam Rehmat, from Mangoes Fashion shared a compelling story that underscores the transformative power of ambition and innovation in e-commerce. As a farmer’s son, began his two-person garments company, Mangoes Fashion, in 2020. Despite having local manufacturing expertise, breaking into the competitive global market felt nearly impossible without a trusted channel to connect with international buyers. The solution came in 2021 when the company joined Alibaba.com. By leveraging the platform’s ecosystem and securing a Verified tag, Mangoes Fashion gained the credibility and visibility needed to transform its small-scale operation into a global venture, providing a direct channel to buyers worldwide.

    The results were transformative and rapid. Mangoes Fashion achieved over 200% annual growth, securing landmark deals including a single order worth $62,545 and six subsequent orders of $20,000 each. Today, what started as a small team exports apparel to key markets across the United States, Europe, Australia, and Canada, proving that local businesses can leverage digital tools to achieve significant global success. This impressive growth was not only a highlight of Azam’s entrepreneurial journey but also serves as an inspiration for aspiring entrepreneurs in Pakistan to harness technology in the pursuit of their dreams.

    Finalists in the Alibaba.com KEL Award 2025 Finale include:

    ● Mr Muhammad Wasim from Blue Hands International

    ● Mr Haider Ali from IMPEX Pakistan

    ● Mr Usman Asif from Moytei Sports

    ● Mr Muhammad Azam Rahmat from Mangoes Fashion

    ● Mr Imran Iqbal Bajwa from Producing Peak

    ● Mr Muhammad Usman Humayun from Gray Rocks Enterprise


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