Category: 3. Business

  • Stocks Hover Near Record, Silver Turns Volatile: Markets Wrap

    Stocks Hover Near Record, Silver Turns Volatile: Markets Wrap

    (Bloomberg) — Global stocks held gains from a record-breaking run fueled by artificial intelligence that’s helped markets rebound from an April slump sparked by tariff concerns. Volatility gripped precious metals such as silver, which climbed to another all-time high.

    The MSCI All Country World Index — one of the broadest measures of the equity market — was steady after rising 1.4% last week to a new high as a much-expected year-end rally took hold. A gauge of Asian shares advanced 0.3% in a seventh straight day of gains, boosted by tech and industrials. European futures rose 0.3% while contracts on the S&P 500 edged lower after the US benchmark finished near its peak on Friday.

    Silver gyrated after smashing through $80 an ounce for the first time amid a historic surge powered by speculative trades and a persistent mismatch between supply and demand. Gold was down more than 1% after reaching a fresh high in the previous session, while copper jumped more than 6% to hit a record on the London Metal Exchange.

    Precious metals have emerged as a hot corner of financial markets in recent months, boosted by elevated central-bank purchases, inflows to exchange-traded funds and three successive rate cuts by the Federal Reserve. Lower borrowing costs are a tailwind for the commodities, which don’t pay interest, and traders are betting on more rate cuts in 2026.

    “We are witnessing a generational bubble playing out in silver,” Tony Sycamore, market analyst at IG Australia, wrote in a note Sunday. “Relentless industrial demand from solar panels, EVs, AI data centers and electronics, pushing against depleting inventories, has driven physical premiums to extremes.”

    Monday’s early momentum for precious metals had come after a comment by Elon Musk over the weekend that highlighted the growing investor frenzy around them. Musk replied to a tweet on Chinese export restrictions by saying on X: “This is not good. Silver is needed in many industrial processes.”

    In the last week, frictions in Venezuela — where the US has blockaded oil tankers — and strikes by Washington on Islamic State in Nigeria have also added to the haven appeal of these metals. With silver inventories near their lowest on record, there’s a risk of supply shortages that could impact multiple sectors.

    What Bloomberg strategists say…

    “Silver has particular drivers which mean it is understandable for it to be outperforming the general rally in metals, precious and otherwise, against the US dollar. Nevertheless it is very tough to justify the parabolic ramp-up in silver as it leaves peers behind.”

    Garfield Reynolds, Markets Live Strategist. For full analysis, click here.

    In geopolitical news, President Donald Trump said he made “a lot of progress” in talks with Ukrainian President Volodymyr Zelenskiy over a possible peace deal, but that it might take a few weeks to get it done and there’s no set timeline.

    Oil rose as the US-led talks failed to yield a breakthrough, and as China vowed to support growth next year. It is still on track for a fifth monthly drop in December, which would be the longest losing streak in more than two years.

    Elsewhere in markets, Bitcoin rallied more than 2% while a gauge of the dollar was steady.

    The global equities gauge has risen nearly 22% in 2025, heading for a third straight annual gain and the biggest since 2019. Trends in AI as well as the path of the Fed’s interest rates are seen by investors as two of the most crucial factors that will determine how equities perform in 2026. The Fed is scheduled to release minutes from its December policy meeting later this week.

    “Stocks can continue their party into 2026 because rate cuts are coming, global growth is robust, and the worst of the tariff threats seem to be already in the price,” said Nirgunan Tiruchelvam, an analyst at Aletheia Capital.

    Stocks

    S&P 500 futures were little changed as of 6:50 a.m. London time Nasdaq 100 futures fell 0.2% Futures on the Dow Jones Industrial Average were little changed The MSCI Asia Pacific Index rose 0.3% The MSCI Emerging Markets Index rose 0.5% Hong Kong’s Hang Seng fell 0.5% The Shanghai Composite was little changed Euro Stoxx 50 futures rose 0.3% Currencies

    The Bloomberg Dollar Spot Index was little changed The euro was little changed at $1.1764 The Japanese yen rose 0.2% to 156.26 per dollar The offshore yuan was little changed at 7.0043 per dollar The British pound was little changed at $1.3494 Cryptocurrencies

    Bitcoin rose 2.6% to $89,775.64 Ether rose 3.3% to $3,032.46 Bonds

    The yield on 10-year Treasuries was little changed at 4.13% Germany’s 10-year yield was unchanged at 2.86% Britain’s 10-year yield was little changed at 4.51% Australia’s 10-year yield advanced two basis points to 4.76% Commodities

    Spot gold fell 1.1% to $4,483.53 an ounce West Texas Intermediate crude rose 1% to $57.32 a barrel This story was produced with the assistance of Bloomberg Automation.

    –With assistance from Carmeli Argana, Rita Nazareth, Ruth Carson and Abhishek Vishnoi.

    ©2025 Bloomberg L.P.

    Continue Reading

  • Transportation and Logistics Outlook 2026 – FTI Consulting

    1. Transportation and Logistics Outlook 2026  FTI Consulting
    2. Retail Supply Chains Brace For A Redefined 2026 As Tariffs, Technology Gaps, And Nearshoring Upend Old Models  edhat
    3. State of Global Supply Chains Come 2026: Colliers  Supply & Demand Chain Executive
    4. From Supply Chains To Robotaxis: What Is Coming In 2026 For Asian Markets  FutureIOT
    5. Preparing supply chains for 2026 in 6 simple steps  Supply Chain Management Review

    Continue Reading

  • The Concorde spy who sold secrets to Russia

    The Concorde spy who sold secrets to Russia

    Mr Doyle was not the only person to potentially sell inside secrets on the development of Concorde.

    In 1999, it was revealed a spy codenamed “Agent Ace” had also betrayed Britain.

    The agent was an aeronautical engineer recruited in 1967, according to papers smuggled out of Russia by dissident KGB officer Vasili Mitrokhin.

    It is thought Ace handed over more than 90,000 pages of detailed technical specifications.

    The agent was one of more than a dozen spies operating within Britain and passing commercial and technological secrets to the Russians at the height of the Cold War, the papers revealed.

    The secrets that made it out of Filton helped Russia build the Tupolev-144, nicknamed Concordski, and which was strikingly similar to Concorde.

    It remains unclear whether Mr Doyle did, in fact, pass on the details he claimed to have done in the interview to the KGB or any other secrets about the Concorde programme.

    For one, questions marks remain over why Mr Doyle was never prosecuted – despite admitting spying for Russia.

    UK Parliament records seen by the BBC raised that very question on the 18 October 1971.

    The Attorney General at the time said he had been consulted about the possibility of a prosecution under the Official Secrets Act, but a prosecution would be unlikely to succeed, based on the evidence, and criminal proceedings should not be started.

    Continue Reading

  • Gift cards surge boosts retail spending despite Black Friday competition

    Gift cards surge boosts retail spending despite Black Friday competition

    A surge in gift cards and vouchers is driving more customers into stores on Boxing Day, helping what has traditionally been one of the biggest sales for retailers compete with the increasing popularity of newer promotional events like the Black Friday and Cyber Monday juggernauts.

    Gerry Harvey, the executive chairman of electronics and whitegoods giant Harvey Norman, said gift cards and vouchers now accounted for about one-fifth of all transactions, particularly on the other side of Christmas.

    Loading…

    Continue Reading

  • China signals tolerance for stronger renminbi

    China signals tolerance for stronger renminbi

    Unlock the Editor’s Digest for free

    China has fixed the renminbi at its strongest level against the dollar in 15 months, a move that analysts say signals its tolerance of a gradual appreciation as its soaring exports stoke tensions with trading partners.

    The People’s Bank of China on Monday set the renminbi at 7.03 to the dollar, the strongest fix since September 30 2024. The currency has strengthened by almost 4 per cent this year against the greenback but has weakened against the euro and other currencies.

    The relative weakness of the Chinese currency has been a bugbear for American and European leaders, who see it as unfairly advantaging their exporters and contributing to China’s enormous trade surplus.

    “It’s clear we’re seeing an acceleration in renminbi strength to the end of year,” said Mansoor Mohi-uddin, chief economist at Bank of Singapore. “They’re clearly allowing the currency to rise but in a controlled way.”

    Prior to a trade truce agreed in October, US tariffs on Chinese goods were at one stage as high as 145 per cent. “Now as the tariff situation becomes a lot clearer and less troublesome, you see the currency begin the rebound,” said Mohi-uddin.

    The renminbi spot rate, which can fluctuate 2 per cent either way around the PBoC midpoint fix, has strengthened in recent weeks.

    The Chinese central bank, in a statement released last week in the wake of a Monetary Policy Committee meeting on December 18, pledged to “maintain the basic stability of the [renminbi] exchange rate at a reasonable and balanced level”.

    Even as the central bank has allowed the currency to strengthen, “the PBoC is also becoming more resistant to gains in the [renminbi], especially as they approach 7 [per dollar], which is both a psychologically important level for the PBoC and for exporters,” said Mitul Kotecha, head of foreign exchange and emerging markets macro strategy at Barclays.

    “Never gamble on a one-way appreciation” of the renminbi, the state-owned Shanghai Securities News said in an article published on Monday.

    Analysts doubted the PBoC would allow an appreciation that would undermine its export powerhouse economy, given its 5 per cent GDP growth target.

    “The golden goose has been the exports trend, which has been the biggest contributor to growth this year,” said Kotecha.

    He added that having a strong currency at a time when other drivers of growth, such as housing, are particularly weak will make it “tough for China to achieve its growth targets”.

    Continue Reading

  • Xu, Z. et al. NLRP inflammasomes in health and disease. Mol. Biomed. 5 (1), 14 (2024).

    Google Scholar 

  • Carroll, K., Sawden, M. & Sharma, S. DAMPs, PAMPs, NLRs, RIGs, CLRs and TLRs–Understanding the alphabet soup in the context of bone biology. Curr. Osteoporos. Rep. 23 (1), 6 (2025).

    Google Scholar 

  • Zheng, D., Liwinski, T. & Elinav, E. Inflammasome activation and regulation: toward a better Understanding of complex mechanisms. Cell. Discovery. 6 (1), 36 (2020).

    Google Scholar 

  • Fusco, R. et al. Focus on the role of NLRP3 inflammasome in diseases. Int. J. Mol. Sci. 21 (12), 4223 (2020).

    Google Scholar 

  • Van de Veerdonk, F. L. et al. Inflammasome activation and IL-1β and IL-18 processing during infection. Trends Immunol. 32 (3), 110–116 (2011).

    Google Scholar 

  • Dadkhah, M. & Sharifi, M. The NLRP3 inflammasome: mechanisms of activation, regulation, and role in diseases. Int. Rev. Immunol. 44 (2), 98–111 (2025).

    Google Scholar 

  • Jurcău, M. C. et al. The link between oxidative stress, mitochondrial dysfunction and neuroinflammation in the pathophysiology of alzheimer’s disease: therapeutic implications and future perspectives. Antioxidants 11 (11), 2167 (2022).

    Google Scholar 

  • Li, Y. et al. Targeting microglial α-synuclein/TLRs/NF-kappaB/NLRP3 inflammasome axis in parkinson’s disease. Front. Immunol. 12, 719807 (2021).

    Google Scholar 

  • Nasoohi, S., Parveen, K. & Ishrat, T. Metabolic syndrome, brain insulin resistance, and alzheimer’s disease: thioredoxin interacting protein (TXNIP) and inflammasome as core amplifiers. J. Alzheimer’s Disease. 66 (3), 857–885 (2018).

    Google Scholar 

  • Boršić, E. et al. Clustering of NLRP3 induced by membrane or protein scaffolds promotes inflammasome assembly. Nat. Commun. 16 (1), 4887 (2025).

    Google Scholar 

  • Fu, J. & Wu, H. Structural mechanisms of NLRP3 inflammasome assembly and activation. Annu. Rev. Immunol. 41 (1), 301–316 (2023).

    Google Scholar 

  • Zhang, X. et al. Inhibitors of the NLRP3 inflammasome pathway as promising therapeutic candidates for inflammatory diseases. Int. J. Mol. Med. 51 (4), 35 (2023).

    Google Scholar 

  • Kennedy, C. R. et al. A probe for NLRP3 inflammasome inhibitor MCC950 identifies carbonic anhydrase 2 as a novel target. ACS Chem. Biol. 16 (6), 982–990 (2021).

    Google Scholar 

  • Patel, V. & Shah, M. Artificial intelligence and machine learning in drug discovery and development. Intell. Med. 2 (3), 134–140 (2022).

    Google Scholar 

  • Daroch, A. & Purohit, R. MDbDMRP: A novel molecular descriptor-based computational model to identify drug-miRNA relationships. Int. J. Biol. Macromol. 287, 138580 (2025).

    Google Scholar 

  • Sharma, B. & Purohit, R. Enhanced sampling simulations to explore Himalayan phytochemicals as potential phosphodiesterase-1 inhibitor for neurological disorders. Biochem. Biophys. Res. Commun. 758, 151614 (2025).

    Google Scholar 

  • Singh, R. & Purohit, R. Determining the effect of natural compounds on mutations of Pyrazinamidase in multidrug-resistant tuberculosis: illuminating the dark tunnel. Biochem. Biophys. Res. Commun. 756, 151575 (2025).

    Google Scholar 

  • Gupta, A., Thind, A. S. & Purohit, R. EGFR AP: a predictive machine learning model for assessing small molecule activity against the epidermal growth factor receptor. RSC Med. Chem. 16 (9), 4415–4426 (2025).

    Google Scholar 

  • Hayat, C. et al. Identification of new potent NLRP3 inhibitors by multi-level in-silico approaches. BMC Chem. 18 (1), 76 (2024).

    Google Scholar 

  • Pinheiro, G. A. et al. Machine learning prediction of nine molecular properties based on the SMILES representation of the QM9 quantum-chemistry dataset. J. Phys. Chem. A. 124 (47), 9854–9866 (2020).

    Google Scholar 

  • Kaneko, H. Molecular descriptors, structure generation, and inverse QSAR/QSPR based on SELFIES. ACS Omega. 8 (24), 21781–21786 (2023).

    Google Scholar 

  • Samkhaniani, M. et al. A machine learning approach to feature selection and uncertainty analysis for biogas production in wastewater treatment plants. Waste Manage. 197, 14–24 (2025).

    Google Scholar 

  • Pantic, I. & Paunovic Pantic, J. Artificial intelligence in chromatin analysis: A random forest model enhanced by fractal and wavelet features. Fractal Fract. 8 (8), 490 (2024).

    Google Scholar 

  • Ishfaq, M. et al. Multinomial classification of NLRP3 inhibitory compounds based on large scale machine learning approaches. Mol. Diversity. 28 (4), 1849–1868 (2024).

    Google Scholar 

  • Mehrabinezhad, A., Teshnehlab, M. & Sharifi, A. A comparative study to examine principal component analysis and kernel principal component analysis-based weighting layer for convolutional neural networks. Comput. Methods Biomech. Biomedical Engineering: Imaging Visualization. 12 (1), 2379526 (2024).

    Google Scholar 

  • Abdul-Al, M. et al. A novel approach to enhancing multi-modal facial recognition: integrating convolutional neural networks, principal component analysis, and sequential neural networks. IEEE Access. 12 (2024).

  • Haji, A. Comparative analysis of autoencoder and PCA for dimensionality reduction in gene expression data. (2024).

  • Kaib, M. T. H. et al. Data size reduction approach for nonlinear process monitoring refinement using kernel PCA technique. Expert Syst. Appl. 274, 126975 (2025).

    Google Scholar 

  • Makkulau, M. et al. Variance The Estimation Eigen Value of Principal Component Analysis and Nonlinear Principal Component Analysis. in ITM Web of Conferences. EDP Sciences. (2024).

  • Frost, H. R. Eigenvectors from eigenvalues sparse principal component analysis (EESPCA). J. Comput. Graphical Statistics: Joint Publication Am. Stat. Association Inst. Math. Stat. Interface Foundation North. Am. 31 (2), 486 (2021).

    Google Scholar 

  • Eze, N. M., Asogwa, O. C. & Eze, C. M. Principal component factor analysis of some development factors in Southern Nigeria and its extension to regression analysis. J. Adv. Math. Comput. Sci. 36 (3), 132–160 (2021).

    Google Scholar 

  • Abdulhafedh, A. Incorporating k-means, hierarchical clustering and Pca in customer segmentation. J. City Dev. 3 (1), 12–30 (2021).

    Google Scholar 

  • Niazi, S. K. & Mariam, Z. Recent advances in machine-learning-based chemoinformatics: a comprehensive review. Int. J. Mol. Sci. 24 (14), 11488 (2023).

    Google Scholar 

  • Wani, M. A. & Roy, K. K. Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents. Mol. Diversity. 26 (3), 1345–1356 (2022).

    Google Scholar 

  • Shrivastava, T., Singh, V. & Agrawal, A. Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening. Health Inform. Sci. Syst. 12 (1), 18 (2024).

    Google Scholar 

  • Almatroudi, A. Integrative machine learning, virtual screening, and molecular modeling for BacA-Targeted Anti-Biofilm drug discovery against Staphylococcal infections. Crystals 14 (12), 1057 (2024).

    Google Scholar 

  • Zhang, H. et al. Machine learning methods for weather forecasting: A survey. Atmosphere 16 (1), 82 (2025).

    Google Scholar 

  • Salama, M. Optimization of regression models using machine learning: A comprehensive study with scikit-learn. Optimization of Regression Models Using Machine Learning: A Comprehensive Study with Scikit-learn| IUSRJ, 5. (2024).

  • Alemerien, K., Alsarayreh, S. & Altarawneh, E. Diagnosing cardiovascular diseases using optimized machine learning algorithms with GridSearchCV. J. Appl. Data Sci. 5 (4), 1539–1552 (2024).

    Google Scholar 

  • Padhy, S. & SMOTE-based Deep, L. S. T. M. System with GridSearchCV optimization for intelligent diabetes diagnosis. J. Electr. Syst. 20 (7s), 804–815 (2024).

    Google Scholar 

  • Mumtaz, A. et al. MPD3: a useful medicinal plants database for drug designing. Nat. Prod. Res. 31 (11), 1228–1236 (2017).

    Google Scholar 

  • Aloufi, B. H., Snoussi, M. & Sulieman, A. M. E. Antiviral efficacy of selected natural phytochemicals against SARS-CoV-2 Spike glycoprotein using structure-based drug designing. Molecules 27 (8), 2401 (2022).

    Google Scholar 

  • El-Hachem, N. et al. AutoDock and AutoDockTools for protein-ligand docking: beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) as a case study, in Neuroproteomics: Methods and Protocols. Springer.391–403. (2017).

  • Zayed, A. O. H. Optimizing protein-ligand Docking through machine learning: algorithm selection with AutoDock Vina. Discover Chem. 2 (1), 164 (2025).

    Google Scholar 

  • Kaur, J., Kaur, S. & andSingh Rational modification of the lead molecule: enhancement in the anticancer and dihydrofolate reductase inhibitory activity. Bioorg. Med. Chem. Lett. 26 (8), 1936–1940 (2016).

    Google Scholar 

  • Berendsen, H. J., van der Spoel, D. & van Drunen, R. A message-passing parallel molecular dynamics implementation. Comput. Phys. Commun. 91 (1–3), 43–56 (1995).

    Google Scholar 

  • Huang, J. & MacKerell, A. D. Jr CHARMM36 all-atom additive protein force field: validation based on comparison to NMR data. J. Comput. Chem. 34 (25), 2135–2145 (2013).

    Google Scholar 

  • Mishra, S. et al. Classical molecular dynamics simulation identifies catechingallate as a promising antiviral polyphenol against MPOX palmitoylated surface protein. Comput. Biol. Chem. 110, 108070 (2024).

    Google Scholar 

  • Ramsey, I. S. et al. An aqueous H + permeation pathway in the voltage-gated proton channel Hv1. Nat. Struct. Mol. Biol. 17 (7), 869–875 (2010).

    Google Scholar 

  • Kognole, A. A. et al. CHARMM-GUI Drude Prepper for molecular dynamics simulation using the classical Drude polarizable force field. J. Comput. Chem. 43 (5), 359–375 (2022).

    Google Scholar 

  • Jawad, B. et al. Key interacting residues between RBD of SARS-CoV-2 and ACE2 receptor: combination of molecular dynamics simulation and density functional calculation. J. Chem. Inf. Model. 61 (9), 4425–4441 (2021).

    Google Scholar 

  • Gilson, M. K. & Zhou, H. X. Calculation of protein-ligand binding affinities. Annu. Rev. Biophys. Biomol. Struct. 36 (1), 21–42 (2007).

    Google Scholar 

  • Du, X. et al. Insights into protein–ligand interactions: mechanisms, models, and methods. Int. J. Mol. Sci. 17 (2), 144 (2016).

    Google Scholar 

  • Yasir, M. et al. Investigating the inhibitory potential of flavonoids against aldose reductase: insights from molecular docking, dynamics simulations, and gmx_MMPBSA analysis. Curr. Issues. Mol. Biol. 46 (10), 11503–11518 (2024).

    Google Scholar 

  • Kadhum, L. H. Geometry optimization of coupling allin-metformin using dft/b3lyp molecular modelling technique: geometry optimization of coupling allin-metformin using dft/b3lyp molecular modelling technique. Iraqi J. Market Res. Consumer Prot. 13 (2), 89–100 (2021).

    Google Scholar 

  • El Addali, A. et al. Theoretical study of the phosphate units stability by the Dft b3lyp/6-311 g quantum method. J. Chem. Technol. 31 (3), 477–485 (2023).

    Google Scholar 

  • Mackay, A. et al. Discovery of NP3-253, a potent brain penetrant inhibitor of the NLRP3 inflammasome. J. Med. Chem. 67 (23), 20780–20798 (2024).

    Google Scholar 

  • Bağlan, M., Gören, K. & Yıldıko, Ü. MEP analysis and molecular Docking using DFT calculations in DFPA molecule. Int. J. Chem. Technol. 7 (1), 38–47 (2023).

    Google Scholar 

  • Taher, S. R. & Hamad, W. M. Synthesis, characterization, density functional theory (DFT) analysis, and mesomorphic study of new thiazole derivatives. Bull. Chem. Soc. Ethiop. 38 (6), 1827–1842 (2024).

    Google Scholar 

  • Stuart, J. G. & Jebaraj, J. W. Synthesis, characterisation, in Silico molecular Docking and DFT studies of 2, 6-bis (4-hydroxy-3-methoxyphenyl)-3, 5-dimethylpiperidin-4-one. Indian J. Chem. (IJC). 62 (10), 1061–1080 (2023).

    Google Scholar 

  • Andonova, V. et al. Spectral characteristics, in Silico perspectives, density functional theory (DFT), and therapeutic potential of green-extracted phycocyanin from spirulina. Int. J. Mol. Sci. 25 (17), 9170 (2024).

    Google Scholar 

  • Wu, S. et al. Theoretical study on the adsorption of Sulforaphane on B 12 N 12-related nanocages based on density functional theory. New J. Chem. 47 (47), 21743–21752 (2023).

    Google Scholar 

  • Khalid, M. et al. Exploration of noncovalent interactions, chemical reactivity, and nonlinear optical properties of Piperidone derivatives: a concise theoretical approach. ACS Omega. 5 (22), 13236–13249 (2020).

    Google Scholar 

  • Solgun, D. G. et al. Synthesis of axially silicon phthalocyanine substituted with bis-(3, 4-dimethoxyphenethoxy) groups, DFT and molecular Docking studies. J. Incl. Phenom. Macrocyclic Chem. 102 (11), 851–860 (2022).

    Google Scholar 

  • Ganiev, B., Mardonov, U. & Kholikova, G. Molecular structure, HOMO-LUMO, MEP-–Analysis of triazine compounds using DFT (B3LYP) calculations. Materials Today: Proceedings, (2023).

  • Pardridge, W. M. Drug transport across the blood–brain barrier. J. Cereb. Blood flow. Metabolism. 32 (11), 1959–1972 (2012).

    Google Scholar 

  • Leeson, P. D. & Springthorpe, B. The influence of drug-like concepts on decision-making in medicinal chemistry. Nat. Rev. Drug Discovery. 6 (11), 881–890 (2007).

    Google Scholar 

Continue Reading

  • L&T Wins (Significant) Order for Transportation Infrastructure Business

    L&T Wins (Significant) Order for Transportation Infrastructure Business

    Mumbai: The Transportation Infrastructure business vertical of L&T has won a significant order for Hyderabad Greenfield Radial Road.

    This order pertains to Phase-2 of the Greenfield Radial Road, wherein a 22.3 km 3+3 lane access-controlled radial road is being constructed in the Ranga Reddy district.

    L&T’s scope involves construction of a 3.6 km long viaduct, minor bridges, underpasses and culverts. Construction of service roads on both sides, extensive retention structures, storm water drainage system, footpaths, cycle track and landscaping works are also in L&T’s scope.

    This is the first of several planned radial roads linking Hyderabad’s Outer Ring Road to the upcoming Regional Ring Road. It will improve regional connectivity and support growth, providing better access to IT hubs, Electronic City, the Young India Skills University and the Bharat Future City.

    Continue Reading

  • Significant changes on the horizon for tourism industry

    Significant changes on the horizon for tourism industry

    Cable car above Rotorua lake and city.
    Photo: 123RF

    The Tourism Minister has signalled significant change could be on the horizon for the industry.

    Louise Upston has set her sights on doubling the value of tourism exports by 2034, growing the number of Kiwis working in tourism and hospitality, and restoring international visitor arrivals to at least 2019 levels.

    In June, she unveiled how the government plans to hit that target, but more details for the medium and long term picture were yet to be revealed.

    The targets were ambitious, but she said the industry had pulled together this year.

    “It’s getting the balance of continuing to push for visitors to choose New Zealand and then helping them throughout New Zealand where there is still strong capacity and options,” she said.

    The industry had been pushing for bold change, and a working group had considered what that change was and how they planned to get there, she said.

    Minister for Tourism and Hospitality Louise Upston.

    Tourism Minister Louise Upston.
    Photo: MARIKA KHABAZI / RNZ

    Upston planned to review advice and proposals from officials about the next steps in the roadmap in January.

    “Some of it is potentially quite significant change so I would be looking at probably taking something to Cabinet towards the end of quarter one or the beginning of quarter two,” she said.

    The government was aiming to see international visitor arrivals reach at least 3.89 million by 2026.

    Recent figures showed overseas arrivals hit 3.43 million in the year to September.

    “We’ve got momentum, we’ve made significant investments, we are measuring the impact and I’m confident that we will achieve those visitor growth numbers by the end of next year,” Upston said.

    That investment – which was often funded by the International Visitor Levy – included a $70 million major events and tourism package and more than $26m for Tourism New Zealand to attract more visitors.

    She was confident that [https://www.rnz.co.nz/news/national/557448/how-do-queenstown-residents-feel-about-increasing-tourism-and-its-impact

    concerns from areas like Queenstown], where visitors numbers had already surpassed 2019 levels, were being addressed by mahi underway and planned in the Tourism Growth Roadmap.

    Queenstown

    Queenstown.
    Photo: RNZ / Kymberlee Gomes

    She wanted to make sure every ounce of value was squeezed from investments in the industry as well as having consistent and predictable funding, Upston said.

    Another priority was attracting more New Zealanders into hospitality and tourism by making sure they could see a career pathway and had ongoing training opportunities as a solid workforce would be a “critical part” in the success of tourism growth, Upston said.

    In November, the government announced funding for a new industry-led qualification, Te Haeata, to boost the business events workforce.

    Sign up for Ngā Pitopito Kōrero, a daily newsletter curated by our editors and delivered straight to your inbox every weekday.

    Continue Reading

  • Meet our project logistics experts at Breakbulk Middle East 2026

    Meet our project logistics experts at Breakbulk Middle East 2026

    Expertise to move the extraordinary

    We understand that one size cannot fit all. That’s why you need an integrated logistics partner who offers unique solutions that eliminate complexities in your project logistics. Take advantage of our global network of special equipment fleets including breakbulk vessels, barges, road and rail transportation.

    Join us at Breakbulk Middle East to meet our project cargo experts and learn about the processes that go into transporting your special cargo efficiently.

    What are the key advantages of Maersk Project Logistics?

    We offer numerous advantages that make us an invaluable partner for businesses undertaking complex projects. We leverage our network of special equipment fleets, including breakbulk vessels, barges, roads, and rail to move cargo efficiently and safely.



    Adaptability and flexibility

    Maersk Project Logistics’ ability to customise solutions and flexible weekly schedule services, coupled with owned capacity, ensures that even the most unique project needs are precisely fulfilled.



    Advanced digital tools

    Leverage our digital tools for efficient cargo management, providing real time visibility and streamlined transactions.



    Global reach with local expertise

    Combining international experience with local knowledge ensures that Maersk Project Logistics can navigate any logistical challenge.



    Integrated solutions

    Revolutionising special cargo logistics with end to end solutions, including owned assets, customs, Project Engineering, and inland last mile delivery. Access more destinations with one provider.



    Meet our project logistics experts

    Join Rafael Vicens, Regional Head of Maersk Project Logistics, as he delivers insights on Africa Spotlight: Critical Minerals, Cargo Flows, and Gulf Partnerships at Breakbulk Middle East 2026.

    Continue Reading

  • How our forecasts of central bank rate decisions fared in 2025 – Financial Times

    1. How our forecasts of central bank rate decisions fared in 2025  Financial Times
    2. Notes from the Desk: Pressing Pause in 2026  ETF Trends
    3. Global Central Banks End Turbulent Year Marked by Tariffs, Geopolitics, and Inflation Risks  AL24 News
    4. World’s Central Banks Slash Rates at Year End, Japan Bucks Trend  Menafn
    5. Rich world’s rate-cut momentum fading away  MSN

    Continue Reading