Enhancing Tropical Cyclone Risk Assessments: A Multi-Hazard Approach for Queensland, Australia and Viti Levu, Fiji by Jane Nguyen, Michael Kaspi, Kade Berman, Cameron Do, Andrew B. Watkins, Yuriy Kuleshov

“…Additionally, the Fiji case study was validated using post-disaster damage data, and a statistically significant correlation of 0.40 between TC Winston-attributed damage and each tikina’s overall risk was identified. Ultimately, this study serves as a prospective framework for assessing TC risk, capable of producing results that can assist decision-makers in developing targeted TC risk management and resilience strategies for disaster risk reduction.…”
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Enhancing detection of STEC in the meat industry: insights into virulence of priority STEC by Mai-Lan Tran, Sabine Delannoy, Patrick Fach

“…Detection of Shiga toxin-producing Escherichia coli (STEC) presenting high risk of human infections is challenging. …”
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High Antimicrobial Susceptibility of Cloacal Enterococci and <i>Escherichia coli</i> from Free-Living Dalmatian and Great White Pelicans with Detection of Cefotaximase CTX-M-15 Pro... by Teresa Cardona-Cabrera, Sandra Martínez-Álvarez, Carmen González-Azcona, Carlos Javier Gijón-García, Olga Alexandrou, Giorgos Catsadorakis, Panagiotis Azmanis, Carmen Torres, Ursula Höfle

“…The genetic content was characterized using PCR and sequencing, and the clonality of extended-spectrum beta-lactamase (ESBL)-producing <i>Escherichia coli</i> isolates was characterized using Multilocus Sequence Typing. …”
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Analysis of the marketing channels of an indigenous smallholder cattle breed at risk of losing genetic diversity: The case of the Lagune cattle in Benin by Maurice Cossi Ahozonlin, Joël Lopez Fianto, Jemima Alla Houessou, Luc Hippolyte Dossa

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Importance of underlying mechanisms for interpreting relative risk of Clostridioides difficile infection among antibiotic-exposed patients in healthcare facilities. by Christopher Mitchell, Lindsay T Keegan, Thuy T T Le, Karim Khader, Alexander Beams, Matthew H Samore, Damon J A Toth

“…Here, we model C. difficile transmission and CDI among hospital inpatients, including exposure to high-CDI-risk antibiotics and their effects on each stage of CDI epidemiology. …”
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Association of nutrients intake during pregnancy with the risk of allergic disease in offspring: a meta-analysis of prospective cohort studies by Hua Feng, Yan Chen, Xiujuan Xiong, Qunying Xu, Zhongwei Zhang, Qinghua Xi, Yongning Wu, Yuanan Lu

“…Finally, the asthma risk in offspring could protect against for pregnant women with high intake of vitamin D and apple, whereas high folic acid during pregnancy could produce excess asthma risk in offspring. …”
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PGC1α −1 Nucleosome Position and Splice Variant Expression and Cardiovascular Disease Risk in Overweight and Obese Individuals by Tara M. Henagan, Laura K. Stewart, Laura A. Forney, Lauren M. Sparks, Neil Johannsen, Timothy S. Church

“…PGC1α undergoes splicing to produce several mRNA variants, with the NTPGC1α variant having a similar biological function to the full length PGC1α (FLPGC1α). …”
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2024 State Flood Plan: History in the Making by Texas Water Development Board

“… In August 2024, the Texas Water Development Board adopted the 2024 State Flood Plan, providing the first-ever comprehensive statewide assessment of flood risk and solutions to reduce the risk and impact to life and property due to flooding. …”
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Speciation, Fate and Transport, and Ecological Risks of Cu, Pb, and Zn in Tailings from Huogeqi Copper Mine, Inner Mongolia, China by Liwei Chen, Jun Wu, Jian Lu, Chulin Xia, Michael A. Urynowicz, Zaixing Huang, Li Gao, Mingying Ma

“…Metals usually have higher mobility in their exchangeable and oxidizable forms and as such represent a higher potential risk to the environment. Results of risk assessment code also revealed that metals in tailings exerted medium to high risks to the environment.…”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The method&#x2019;s effectiveness is validated against another risk prediction dataset, proving its reliability. …”
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Multi-omic biomarker panel in pancreatic cyst fluid and serum predicts patients at a high risk of pancreatic cancer development by Laura E. Kane, Gregory S. Mellotte, Eimear Mylod, Paul Dowling, Simone Marcone, Caitriona Scaife, Elaine M. Kenny, Michael Henry, Paula Meleady, Paul F. Ridgway, Finbar MacCarthy, Kevin C. Conlon, Barbara M. Ryan, Stephen G. Maher

“…Integration of data from different omic compartments, and across biofluids, produced a biomarker panel that performs with high accuracy, showing promise for the risk stratification of patients with pancreatic cystic lesions.…”
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Identification of plastic waste generation and composition to reduce environmental disaster risk (case study: Public facility sources in Padang City) by Ruslinda Yenni, Fahrunisa Gebi, Ayu Lestari Resti, Gunawan Hendra, Amin Muhammad

“…The degradation of plastic waste in aquatic environments can result in microplastics that threaten marine life, while the incineration of plastic waste produces toxic gases harmful to health. This study aims to identify the generation and composition of plastic waste as an initial step in reducing environmental disaster risks. …”
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Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses by Yun‐xia Huang, Yan‐zong Lin, Jin‐luan Li, Xue‐qing Zhang, Li‐rui Tang, Qing‐yang Zhuang, Fei‐fei Lin, Xi‐jin Lin, Jun‐xin Wu

“…The addition of radiotherapy to surgery doubled the CSS among the high‐risk patients (42.06% vs 91.26%, P = 0.001) but produced no survival benefit among the low‐risk patients (93.36% vs 96.38%, P = 0.182). …”
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Typological and cumulative approaches to risk and adversity in Child and Adolescent Mental Health Services (CAMHS): Retrospective cohort analysis in South London by Barry Coughlan, Nicole Marshall, Matt Woolgar, Julia Mannes, Paige Erkiert, Ayla Humphrey, Jack Smith, Taliah Drayak, Francesca Crozier-Roche, Tessa Morgan, Dustin Hutchinson, David Graham, Rick Hood, Robbie Duschinsky

“…Interpretation: Our findings suggest that typological and cumulative approaches to risk and adversity can produce unique insights about diagnostic practices and service activity. …”
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What are the cost-savings and health benefits of improving detection and management for six high cardiovascular risk conditions in England? An economic evaluation by Katy Cooper, Alan Brennan, David Bagguley, Helen Buckley Woods, Chloe Thomas, Penny Breeze, Michael Gillett, Edward Goka, Hazel Y Squires, Gilly Brenner, Joanna Leaviss, Mark Clowes, Laura Heathcote

“…Most benefits come from detection of high cholesterol in the short term and diabetes in the long term.Conclusions Substantial cost savings and health benefits would accrue if all individuals with conditions that increase CVD risk could be diagnosed, with detection of undiagnosed diabetes producing greatest benefits. …”
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Credit Risk Management Practices and Loan Performance of Commercial Banks in Uganda. A Case Study of Commercial Banks in Mbarara City by Agaba, Francis

“…The study was about the relationship between Credit Risk Management Practices and Loan Performance of Commercial Banks in Mbarara City. …”
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The Duty of Adverse Drug Reaction Alerting from the Perspective of Laws, Current Practices, and Guidelines Related to a Comparative Rights Approach by milad mashayekh, vali eslami

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Determining the factors affecting cattle and small ruminant enterprises to get animal life insurance by Burak Mat, Mustafa Bahadır Çevrimli, Mustafa Agah Tekindal, Aytekin Günlü

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Simulation of Geomagnetically Induced Currents in a Low‐Latitude 500 kV Power Network During a Solar Superstorm by J. J. Zhang, Y. Q. Yu, W. Q. Chen, C. Wang, Y. D. Liu, C. M. Liu, L. G. Liu

“…The simulation results also reveal that field‐aligned currents can play an important role in producing GICs in middle‐ and low‐latitude power grids during solar superstorms. …”
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Global scale arsenic pollution : increase the scientific knowledge to reduce human exposure by Muhammad Shahid, Camille Dumat, Nabeel Khan Niazi, Sana Khalid, Natasha

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