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  • Austria Picks Bernhard Wenger’s Social Satire ‘Peacock’ as Oscar Entry

    Austria Picks Bernhard Wenger’s Social Satire ‘Peacock’ as Oscar Entry

    Austria has selected Bernhard Wenger‘s social satire “Peacock” as its entry in the Best International Feature Film category of the 98th Academy Awards.

    “Peacock” had its world premiere in Venice Critics’ Week last year, and MK2 sold it to more than 40 countries. It will be released in U.S. theaters on Sept. 19 by Oscilloscope.

    The film stars Albrecht Schuch, who was BAFTA nominated for “All Quiet on the Western Front.”

    “Peacock” centers on the cultured and confident Matthias, who is available – for a reasonable fee – to fill any social role you desire, from “the perfect son” to the “enlightened boyfriend,” or even “pilot dad” to impress your classmates on Bring Your Parent to School Day. But while Matthias is at the top of his game professionally, his personal life begins to crumble as he detaches from his own identity and burrows deeper into his fictitious lives.

    In his review for Variety, Guy Lodge called it “an auspiciously polished and snappy debut,” and suggested its multiple sales were closed “on the strength of its sparkling, readily translatable satire and quicksilver leading turn” by Schuch, adding that the actor delivered “a tremendous comic performance of great physical ingenuity and pent-up emotional desperation.”

    The cast also includes Julia Franz Richter, Anton Noori, Theresa Frostad Eggesbø, Salka Weber, Maria Hofstätter, Branko Samarovski, Tilo Nest, Christopher Schärf and Marlene Hauser.

    The producers are Michael Kitzberger, Wolfgang Widerhofer, Markus Glaser and Nikolaus Geyrhalter. The executive producers are Michael Kitzberger and Bogdan Büchner. The co-producer is Martina Haubrich. The film is produced by NGF Geyrhalterfilm and Cala Filmproduktion.

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  • Future Atlantification of the European Arctic limited under sustained global warming

    Future Atlantification of the European Arctic limited under sustained global warming

    Modern Atlantification

    The clustering algorithm applied to ORAS5 yields the current Atlantic domain to mainly encompass the southern side of the European Arctic, the West Spitsbergen area, the area close to the Barents Sea Opening and the southern Barents Sea (Fig. 1a,c,e,g, red lines), where the Norwegian Atlantic and West Spitsbergen currents flow (supplementary Figure S1). The position of the Atlantic-Arctic boundary is robust against different considerations of the vertical structure of the water column (see Methods). The multi-model ensemble captures the gross spatial features of the modern (1981–2010) Atlantic-Arctic boundary, especially in its eastern branch (Fig. 1a,c,e,g, blue shading). There, the S-shaped profile in MPI-ESM1-2-LR and IPSL-CM6A-LR reflects a realistic representation of the flow of the Norwegian Atlantic and Spitsbergen Polar currents, whereas the more linear profile in MRI-ESM-2-0 and MIROC-ES2L suggests a too weak circulation in the area. Models diverge more regarding the typical position of the Atlantic-Arctic boundary in the Fram Strait, reflecting uncertainties in the simulation of the West Spitsbergen current.

    Fig. 1

    Atlantic-Arctic boundary position in reanalysis and climate simulations. (a,c,e,g) Expected Atlantic-Arctic boundary position in the modern (1981–2010) period for ORAS5 ocean reanalyses (red dots) and climate simulations (shading) from MPI-ESM1-2-LR (a), MRI-ESM-2-0 (c), MIROC-ES2L (e) and IPSL-CM6A-LR (g). (b,d,f,h) Change in the expected Atlantic-Arctic boundary position between modern and future (2071–2100, ssp585 scenario) periods simulated by MPI-ESM1-2-LR (b), MRI-ESM-2-0 (d), MIROC-ES2L (f) and IPSL-CM6A-LR (h). Red (blue) colors indicate areas where the front position is more (less) probable in the future compared to the modern period. Filled circles and crosses represent the position of the average sea-ice edge in March in the modern and future period, respectively.

    Mean state biases in the Atlantic-Arctic boundary are reflected in a mean state bias in the areal extent of the Atlantic domain in the European Arctic that is ubiquitous across models (Fig. 2a). Models overestimate ATLi from reanalysis especially in the Fram Strait, whereas distributions overlap in the Barents Sea region -most relevant for Atlantification- within the 1.5 interquartile range, except for IPSL-CM6A-LR (supplementary Figure S2). Notwithstanding mean state biases, simulated ATLi anomalies encompass reanalyses during the observational period (Fig. 3b), illustrating model-data consistency in the temporal evolution of Atlantification. ATLi trends (period 1958–2014) consistently quantifies the progress of Atlantification in ORAS5 (0.7–1.4%/decade) and in the ensemble mean (0.9–1.2%/decade), supporting that the forced component is predominant since the second half of the twentieth century.

    Fig. 2
    figure 2

    Boxplots of single-model ensemble and reanalysis distributions of ATLi (a) and PAT (b) in various experiments. Shown are median (thick black line), interquartile range (IQR, boxes), 1.5*IQR (whiskers) and outliers (circles). Models are vertically aligned in panels a and b.

    Fig. 3
    figure 3

    Evolution and trends of Atlantification and Pan-Arctic warming in the historical and future scenario (ssp585) periods. Trend analysis of ATLi (a) and PAT (c) ensemble means. Trend coefficients with p-value > 0.05 are masked out with black dots. The black cone encompasses trends estimated for the historical period alone. Time series of ATLi (b) and PAT (d) for all considered models and realizations, as well as the multi-model ensemble mean (black line). The green line in panel (b) illustrates the ATLi time series from ORAS5. Data are anomalies referred to the 1981–2010 average.

    As expressed by pan-Arctic temperature, PAT (see Methods), the Arctic Ocean warms consistently across models and realizations during the historical period (Figs. 2, 3d). Ocean thermal inertia dampens high-frequency variability while highlighting multidecadal-to-centennial trends in PAT, which remain below 0.05 °C/decade in the ensemble mean during the historical period. Coherent decadal trends in ATLi and PAT indicate that Atlantification events historically occur during phases of pan-Arctic warming, while Arctification events occur during phases of pan-Arctic cooling (Fig. 3a,c). Multivariate regression of upper-ocean (0–200 m depth) temperature and salinity on ATLi and PAT supports that Atlantification and pan-Arctic warming constructively superposed in driving historical upper-ocean warming and salinification of the European Arctic, with comparable relative impacts (Fig. 4a,c, spatial fingerprints in supplementary Figures S3 and S4). The historical period thus features a tight coupling between local dynamics in the European Arctic and pan-Arctic properties.

    Fig. 4
    figure 4

    Dependency of upper-ocean properties in the European Arctic on Atlantification and pan-Arctic warming. Box plots (line: median, box: interquartile range—IQR, whiskers: 1.5*IQR, + : outliers) are for local (grid-point) regression coefficients in the European Arctic domain: (a,b) upper-ocean potential temperature and (c,d) upper-ocean salinity on ATLi and PAT calculated for the (a,c) historical and (b,d) ssp585 experiments. Statistical significance, tested by means of a Mann–Whitney U-test, is reported in the stars above the plot as follows: *0.01 < p ≤ 0.05; **0.001 < p ≤ 0.01; ***10−4 < p ≤ 0.001; ****p ≤ 10−4.

    Consistently across simulations and reanalyses, the Atlantic-Arctic boundary approximates the winter sea-ice edge but remains more locally confined than the latter through the year (Fig. 1b,d,f,h and supplementary Figures S5 and S6) maintained by buoyancy fluxes. The Atlantic-Arctic boundary position is therefore not a mere expression of sea-ice dynamics, although the latter contribute to explain the diversity of simulated behaviors.

    Projected future evolution of Atlantification

    The ensemble coherence extends beyond the observational period, as the models yield a strongly consistent temporal evolution of the Atlantification across models and realizations over the whole historical and ssp585/ssp245 experiments, independent of the future scenario considered. Following the initial stationary phase with lack of interdecadal trends from 1850 to the first quarter of the twentieth century, the ensemble-mean evolution of ATLi exhibits a progressive acceleration culminating around the mid-twenty-first century (Fig. 3b, ssp245 in supplementary Figure S7). The Atlantic maximizes its areal gain around 2060, followed by a stationary phase until 2100 characterized by a northward displacement of the eastern branch of the Atlantic-Arctic boundary (Fig. 1b,d,f,h). This sustained Atlantification occurs across all models, realizations and scenarios (Fig. 2a), thus representing a forced response under global warming. Under ssp585 conditions, MIROC-ES2L and MRI-ESM-2–0 yield similar peak ATLi values (0.45–0.50) but achieved through a small and homogeneous progression along the modern position in MIROC-ES2L, and a stronger progression along the northern branch of the Atlantic flow in MRI-ESM-2–0 (Fig. 1d,f). In IPSL-CM6A-LR the Atlantic domain exhibits a geographically incoherent progression yielding an areal gain of only about 5% (Fig. 1h). MPI-ESM1-2-LR yields the strongest future Atlantification (ATLi exceeding 0.50), associated with an advancement of the Atlantic similar to MRI-ESM-2-0 but extending further north (Fig. 1b). The simulated Atlantic-Arctic boundary evolution is even more diverse across models in the Fram Strait, further contributing to the ensemble spread of projected future Atlantification.

    The strong projected (ssp585) sea-ice loss results in the European Arctic facing absence of sea ice in late summer in the second half of the twenty-first century and a substantial retreat of the sea-ice edge in winter at the end of the century, when in the Barents Sea it is confined to above around 80°N, that is, much north of the projected Atlantic-Arctic boundary position (Fig. 1b,d,f,h and supplementary Figure S8). This spatial detachment suggests that in a warmer world different mechanisms govern Arctic sea-ice dynamics and the Atlantic-Arctic boundary. The strong sea-ice melting can be interpreted within the framework of pan-Arctic warming. As expressed by PAT, Arctic warming accelerates around 2010 up to exceeding 0.1 °C/decade by 2030 and 0.2 °C/decade by the end of the twenty-first century. Despite the diversity of biases in the modern PAT climatology, the ensemble agrees on a future pan-Arctic warming of about 1 °C under ssp585 and 0.7 °C under ssp245 (Fig. 2b), suggesting that the destabilizing feedbacks that determine Arctic amplification are consistently still operative at the end of the twenty-first century under both scenarios. The rate of Atlantification increases since 2010 as pan-Arctic warming accelerates, until Atlantification detaches from pan-Arctic warming around 2060 (Fig. 3b,d). Pan-Arctic warming becomes predominant in driving an overall upper-ocean warming and freshening of the European Arctic (Fig. 4b,d), while Atlantification remains a significant contributor to temperature changes only in the eastern and north-eastern region (supplementary Figures S9 and S10). Therefore, Atlantification/Arctification aligns with pan-Arctic warming/cooling in the historical period, but both phenomena decouple under sustained global warming.

    Natural roots of Atlantification

    Preindustrial experiments under transient (past1000/past2k) and unperturbed (piControl) conditions allow framing modern and projected Atlantification, and its relation with pan-Arctic warming, in the context of natural climate variability. All models agree that Atlantification is already distinguishable from natural variability: ATLi values for the modern period are consistently significantly higher (pranksum < 10–5) than transient late preindustrial (1851–1880) and unperturbed preindustrial values (Fig. 2a). However, modern Atlantification does not fully exceed the range of natural variability, as early-21st-century ATLi values remain occasionally below the 95th percentile of piControl values depicting intrinsic variability (supplementary Figure S11). This is expected to change under continued global warming, where future distributions for both ssp585 and ssp245 only overlap with intrinsic variability above its 95th percentile, except for IPSL-CM6A-LR. Accordingly, the exceptional character of modern Atlantification will be fully revealed in the next decades. Further pointing to the exceptional contribution of external forcing to modern Atlantification, non-smoothed ensemble-mean values since 2007 exceed previous maxima during the whole preindustrial millennium and ensemble-mean trends in the historical period exceed preindustrial trends on all time scales (Fig. 5a,b).

    Fig. 5
    figure 5

    Atlantification and Pan-Arctic warming in the climatic context of the last millennium. Trend analysis of ATLi (a) and PAT (c) ensemble means. Trend coefficients with p-value < 0.05 are masked out with a black dot. The black line cone encompasses trends estimated for the historical period alone. Time series of ATLi (b) and PAT (d) for all considered models, as well as ensemble mean (black line), for the historical and parent past1000/past2k experiments. All series are anomalies with respect to the period 850–2014, smoothed with a 15-year moving average. For IPSL-CM6A-LR, spurious trends of 0.002 1/century for ATLi and 0.04 °C/century for PAT are preliminarily removed from the data.

    In both individual simulations and the ensemble mean, preindustrial variability includes recurrent potent Atlantification and Arctification events, with duration and intensity comparable to modern Atlantification, revealing an almost symmetrical natural pattern of variability of the Atlantic-Arctic boundary around its natural climatological position (Fig. 5a,b and supplementary Figure S11). In all models, the ratio of ATLi standard deviations calculated for the past1000/past2k and piControl experiments only slightly exceeds the value of one (MPI-ESM1-2-LR: 1.12; MRI-ESM-2-0: 1.04; MIROC-ES-2L: 1.07; IPSL-CM6A-LR: 1.24). Arctification and Atlantification therefore pertain to the intrinsic features of climate variability, and this intrinsic component remains predominant for transient natural variability of the Atlantic-Arctic boundary. External forcing thus appears to primarily exert its role by setting the phase of variability generated by intrinsic dynamics.

    A major Arctification episode is coherently simulated across models in the early nineteenth century (Fig. 5b), arguably as a forced response to the 1809-Tambora volcanic cluster37. The beginning of modern Atlantification is rooted in the first half of the nineteenth century, if it also encompasses the recovery from an earlier Arctification episode. Spatial patterns further support a natural origin of modern Atlantification: the ensemble yields a coherent progression of the Atlantic-Arctic boundary across the Barents Sea from late preindustrial to modern times, whereas models largely disagree on changes in the Fram Strait (supplementary Figure S12), similar to what is obtained for projected future changes (Fig. 1b,d,f,h).

    Consistent with indications from the historical experiment, the preindustrial period features a recurrent coexistence between Arctic warming/cooling episodes and Atlantification/Arctification throughout the past1000/past2k experiment (Fig. 5c,d). Global warming scenarios therefore project a disruption of a coherent natural behavior coupling Atlantification/Arctification and pan-Arctic warming/cooling that lasted on a millennial time scale.

    Dynamics of limited future Atlantification

    Consistently across ensemble members, upper-ocean warming accelerates in the European Arctic during the late twentieth century while salinity decreases starting from the early twenty-first century, both changes contributing to a decrease in upper-ocean density (Fig. 6a,b,c). This general tendency masks a differential upper-ocean warming in the Atlantic and Arctic domains: except for IPSL-CM6A-LR, the average seawater temperature gradient (Atlantic minus Arctic) increases substantially from the 1970s until peaking in the 2050s, indicating that the Atlantic domain warms at a faster rate compared to the Arctic domain (Fig. 6d). The co-occurrence of this peak with sea-ice free late summers in the European Arctic (supplementary Figure S8) points toward a potential central role of sea-ice dynamics. For instance, sea-ice albedo and ocean latent heat loss by the ocean due to sea-ice melting contribute to slower warming of the Arctic domain. From the 2050s onwards, when sea ice retreats north of the European Arctic (supplementary Figure S8), the Atlantic-Arctic temperature gradient weakens in all models, indicating that the Arctic domain warms faster than the Atlantic domain. The Atlantic-Arctic gradient in salinity slightly increases in the historical experiment, but trajectories diverge in ssp585, yielding near-zero ensemble-mean projected future trends (Fig. 6e). Consistently across ensemble members, the Atlantic-Arctic gradient in density remains stable until around 2020 and then becomes more negative –it strengthens– until around 2050, when it stabilizes again (Fig. 6f).

    Fig. 6
    figure 6

    Simulated evolution of oceanic conditions in the European Arctic in the historical and future scenario (ssp585) periods. Anomaly of the average potential temperature (a), salinity (b) and potential density (c) in the European Arctic. Anomaly of the differences in potential temperature (d), salinity (e) and potential density (f) between the Atlantic and the Arctic domain (Atlantic minus Arctic). Anomalies are calculated by subtracting the average value in the 1981–2010 period from the time series. Color code: MPI-ESM1-2-LR (orange), MRI-ESM-2-0 (red), MIROC-ES2L (blue), IPSL-CM6A-LR (purple), ensemble mean (black).

    Therefore, the density decrease of Arctic waters is consistently slower than Atlantic waters in the ensemble, despite model specificities in the relative contributions of salinity and temperature changes. The spatial patterns of end-of-21st-century upper-ocean density anomalies further reveal ensemble consistent features and model specificities (Fig. 7a,b,c,d, shading). All models agree on seawater density decrease near eastern Svalbard, where the Spitsbergen Polar Current typically flows southward. Models disagree instead on the density decrease in the Central Bank and surrounding areas, which traces back on the diversity of simulated changes in the Atlantic-Arctic boundary. MPI-ESM1-2-LR and MIROC-ES2L yield the most consistent anomalous density gradients across the Atlantic-Arctic boundary in the Barents Sea, seen as alignment between the boundary position and the anomalous isopycnals. In IPSL-CM6A-LR Atlantic-Arctic gradients are weakest in the Central Bank, whereas they even have an opposite sign, i.e., negative Atlantic-Arctic anomalous gradient, in the southeastern basin.

    Fig. 7
    figure 7

    Projected ocean circulation changes contrasting Atlantification. Upper-ocean density (color maps) and baroclinic pressure gradient (arrows) differences between the averages calculated over the future (2071-2100, ssp585 experiment) and modern (1981–2010) periods for (a) MPI-ESM1-2-LR, (b) MRI-ESM-2-0, (c) MIROC-ES2L and (d) IPSL-CM6A-LR. For each model, the spatial average of the density difference is removed before mapping, amounting to (a) −0.52 kg/m3, (b) −1.32 kg/m3, (c) −0.78 kg/m3 and (d) −0.71 kg/m3, hence an upper-ocean density decrease prevails over the European Arctic. Thick black lines correspond to the Atlantic-Arctic boundary position calculated for the future period.

    These changes reflect altered ocean–atmosphere interactions in the region: the anomalous density pattern superposes in the Barents Sea on winter wind-stress-curl anomalies, especially in MPI-ESM1-2-LR and MRI-ESM2-0 (supplementary Figure S13); changes in the winter net surface freshwater fluxes also contribute to the density anomaly, consistently following across models a strengthening of their historical climatological pattern of precipitation minus evaporation (supplementary Figure S14). The retreat of the sea ice edge further contributes to enhanced surface ocean turbulent heat losses in the Arctic portion of the Barents Sea (supplementary Figure S15). The overall picture is that local atmosphere–ocean interactions and local wind forcing substantially contribute to the density gradient between Atlantic and Arctic waters in the European Arctic, where the effect is mediated by sea ice changes.

    The density anomalies are associated with a baroclinic pressure gradient force (Fig. 7 a,b,c,d, arrows). Besides model specificities –e.g., the southeastern basin in IPSL-CM6A-LR as mentioned above–, the ensemble consistently yields anomalous baroclinic pressure gradient force vectors in the area near the Atlantic-Arctic boundary that point south-westward, that is towards the Atlantic domain, which describes a countercurrent that contrasts Atlantification. Models lose coherence in strength and direction of the baroclinic pressure gradient force away from the Atlantic-Arctic boundary, which supports the interpretation that the dynamics described above pertain to a regional oceanic mechanism.

    Large-scale oceanic precursors of the density anomalies are unclear. The ensemble yields a consistent 21st-century progressive weakening of the Atlantic meridional overturning circulation in its historical climatological core at tropical northern latitudes, but also stationary conditions or even temporary strengthening in its shallow polar component until around 2050 (supplementary Figure S16). In MPI-ESM1-2-LR these changes are reflected in latitudinal divergent trends in the meridional ocean heat transport driven by the overturning circulation, with reduction at tropical/mid latitudes and increase at subpolar/polar latitudes (supplementary Figure S17). These changes dominate the total meridional ocean heat transport and are associated with a shrinking and north-eastward intensification of the subpolar gyre with respect to its historical climatology (supplementary Figure S18a). The subpolar gyre also strengthens in MRI-ESM-2-0, but with different magnitude and spatial pattern compared to MPI-ESM1-2-LR, whereas IPSL-CM6A-LR yields a slowdown of the subpolar gyre (supplementary Figure S18b,c).

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  • Researchers discover virus inside fungus may drive deadly infections-Xinhua

    JERUSALEM, Aug. 21 (Xinhua) — Israeli and German researchers have found that a virus living inside a type of deadly fungus can make the fungus far more dangerous to humans, the Hebrew University of Jerusalem said in a statement on Thursday.

    The study, published in Nature Microbiology, revealed that the virus gives the Aspergillus fumigatus fungus a significant survival advantage.

    Aspergillus fumigatus is responsible for most invasive fungal infections in humans and is particularly lethal for individuals with weakened immune systems. Despite decades of research, mortality rates remain near 50 percent.

    The team discovered that the hidden virus acts like a booster, helping the fungus endure stress such as heat and oxidative conditions inside mammalian lungs. When the virus was removed, the fungus became much weaker. It lost the ability to reproduce efficiently, produced less protective melanin, and caused far less damage in infected animals.

    When antiviral treatments were used to suppress the virus during infection, survival rates in mammals improved.

    According to the researchers, the viruses that infect fungi are called mycoviruses. They do not cause illness by themselves but influence the severity and aggressiveness of the fungal infection once it occurs. This insight could transform how doctors approach the treatment of fungal infections and pave the way for new therapeutic strategies.

    They concluded that weakening the fungus by removing its viral partner could give the immune system and existing drugs a better chance to fight the infection.

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  • Less education associated with faster aging and health inequality

    Less education associated with faster aging and health inequality

    A new study by USC Leonard Davis School of Gerontology researchers shows that Americans with less education are aging faster than their peers with more schooling, and the gap has grown over the last 30 years.

    The study examined “biological aging,” which goes deeper than simply counting birthdays. Biological aging measures how the body is changing over time, including how well organs and systems are working. For example, two people who are both 65 may look very different inside: one may have the biological profile of someone younger, while another may show signs of aging earlier.

    Biological age gives us a clearer picture of health than chronological age. It helps us understand who is likely to stay healthy longer and who may be at higher risk for disease and disability.”


    Eileen Crimmins, study’s senior author, USC University Professor 

    A widening divide

    Using data from the National Health and Nutrition Examination Survey, the team looked at adults ages 50 to 79 across two periods: 1988–1994 and 2015–2018. They found that while biological aging slowed for everyone, the benefits were significantly greater for people with more education.

    For example, in the late 1980s and early 1990s, the difference in biological aging between adults with less than a high school education and those with a college degree was about one year. By 2015–2018, the gap had nearly doubled to two years.

    “This means that people with more education have slower biological aging than everyone else,” said Mateo Farina, assistant professor of human development and family sciences at the University of Texas at Austin, former USC Leonard Davis School postdoctoral researcher, and first author of the study. “The improvements we see in population health are not being shared equally.”

    Increasing inequality in health based on education has been a public health concern since the 1990s. The authors noted that this new study is among the first to evaluate whether the increased educational inequalities in physical health are linked to widening differences in biological age.

    Why education matters

    Education influences many aspects of life that affect health: the kinds of jobs people can get, how much money they make, where they live, and the health care they can access. More education also tends to correlate with healthier behaviors, such as smoking less and exercising more.

    The study tested whether changes in smoking, obesity, or medication use explained the growing gap in aging. But the results showed that these factors did not account for the widening inequality; instead, differences tied directly to education itself appear to play the biggest role.

    “Education shapes opportunities and risks throughout life,” Crimmins explained. “It’s a powerful social determinant of health, and it is leaving a mark on how fast or slow our bodies age.”

    The findings suggest that educational inequality could have major consequences for future generations of older adults. People with less education may not only die younger but may also spend more years in poor health, posing challenges to families, communities, and health systems.

    “This isn’t just a matter of individual choice; it’s a social issue,” Farina said. “If we want to reduce health disparities, we need to think about education as a public health investment.”

    Source:

    University of Southern California

    Journal reference:

    Farina, M. P., et al. (2025). Increasing Educational Inequality in Biological Aging Among U.S. Adults Aged 50–79 From 1988–1994 to 2015–2018. Demography. doi.org/10.1215/00703370-12175545.

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  • Jennifer Aniston sparks buzz with Jim Curtis during secret dinner night

    Jennifer Aniston sparks buzz with Jim Curtis during secret dinner night



    Jennifer Aniston sparks buzz with Jim Curtis during secret dinner night

    Jennifer Aniston stepped out for another dinner date with her new boyfriend Jim Curtis on Wednesday night, keeping the romance very much in the spotlight. 

    The Friends star, 56, has been spending more time with the life coach after they were first linked during a summer trip to Mallorca, Spain, over the Fourth of July weekend. 

    Since then, the lovers have been spotted on several outings together, showing how much Aniston was enjoying this new chapter after her highly publicised splits from Brad Pitt and Justin Theroux.

    Jennifer Aniston sparks buzz with Jim Curtis during secret dinner night

    Just two nights earlier, Curtis and Aniston shared sushi at Nobu Malibu with the actress’ close friend Courtney Cox and her longtime partner Johnny McDaid. 

    On Wednesday, they switched things up by sneaking into a Hollywood hotspot for another intimate dinner, keeping the evening relaxed and private. However, the timing of their outings caught attention as it followed Aniston’s recent admission that she does not cook. 

    The Murder Mystery star made the confession during an Instagram post promoting her latest children’s cookbook Cook with Clydeo, named after her beloved dog Clyde. That playful revelation added more charm to her current romance, which has been growing stronger by the day.

    Reports also revealed that dogs played a big role in bringing the couple closer. The author and life coach, who owns senior rescue dog named Odie, bonded with the actress over their shared love of animals.

    An insider said, “Jennifer really bonded with Jim over his love for rescue dogs, she appreciates that.” The source added that Jim Curtis believed Odie healed a part of him and prepared him for true love, which he found with Jennifer Aniston.

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  • Winona Ryder reveals surprising truth about her iconic ’90s hairstyle

    Winona Ryder reveals surprising truth about her iconic ’90s hairstyle



    The ‘Stranger Things’ star opens up about her iconic ’90s hair 

    Winona Ryder’s iconic ‘90s haircut wasn’t the work of a celebrity stylist. It was her own doing.

    In a video interview with Elle UK, posted on Instagram Thursday, August 21, the Stranger Things star revealed that she cut her own hair throughout the ‘90s — including the choppy, short style she wore in the 1994 cult classic Reality Bites.

    “All during the ’90s I cut my own hair,” Ryder, 53, said. “And I remember being incredibly surprised and flattered when my Reality Bites haircut became popular … girls would go to the [hairdresser] and bring that picture in and I thought that was kinda cool.”

    The Beetlejuice alum went on to explain that her DIY approach was as low maintenance as it gets. “I mean, I literally just put my head upside down and went like that with the scissors, and I did that for any of my short hair,” she admitted.

    In Reality Bites, Ryder plays aspiring filmmaker Lelaina Pierce, a role that cemented her as a voice of her generation. Decades later, fans still rave about the effortless haircut that helped define the film’s grunge-era aesthetic.

    Elle UK followers flooded the comments with admiration for Ryder’s honesty and style. 

    “Winona could rock any hairstyle regardless!” one person wrote, while another simply summed it up: “Legend.”

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  • Sequencing Blood Antibodies Reveals Naturally Acquired Immunity Against Malaria

    Sequencing Blood Antibodies Reveals Naturally Acquired Immunity Against Malaria