GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

“…The integration of IoT sensors allows the drone system to dynamically adjust its monitoring focus, improving adaptability to changing environments and enhancing hazard detection. This research provides an advanced, drone-based IoT-enhanced solution for real-time construction site safety monitoring, offering a more effective and efficient approach to safety management.…”
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Surface deformation of the 26 January 2021 earthquake in the Sinjar – Hasakah Area, N Iraq and NE Syria, from Sentinel‑1A InSAR images by Jamal A.H. Doski

“…The deformation of Earth’s surface caused by earthquakes stands as a critical geological hazard in regions characterized by active tectonic structures. …”
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Modeling to medical and economic data using: The transmuted power unit inverse Lindley distribution by Eman A. Eldessouky, Osama H. Mahmoud Hassan, Badr Aloraini, Ibrahim Elbatal

“…The density plots of the TPUILD highlight its significant potential for practical applications. The hazard rate function may display both increasing and decreasing patterns, offering significant flexibility in the formulation of statistical models for biomedical and economic research. …”
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Petroleum Hydrocarbons Contamination Profile of Ochani Stream in Ejamah Ebubu, Eleme Local Government Area of Rivers State, Nigeria by Akuro Adoki

“…The levels of toxic species such as heavy metals, PAH and BTEX compounds were found to be very low and they do not pose a significant environmental hazard. @JASEM J. Appl. Sci. Environ. Manage. Dec, 2011, Vol. 15 (4) 547 - 557…”
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Intake of sodium and potassium, sodium-potassium intake ratio, and their relation to the risk of diabetes mellitus by Sung Keun Park, Chang-Mo Oh, Jae-Hong Ryoo, Ju Young Jung

“…In a cohort of 99,552 working-age Korean adults (60,591 men; mean age 39.7 ± 6.9 and 38,961 women; mean age 38.4 ± 6.5), we longitudinally evaluated the risk of DM in relation to quartile levels of sodium intake, potassium intake, and the sodium-potassium ratio. A Cox proportional hazards model was used to assess the risk of DM by calculating adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident DM (adjusted HR [95% CI]). …”
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Increase in assisted suicide in Switzerland: did the socioeconomic predictors change? Results from the Swiss National Cohort by Marcel Zwahlen, Nicole Steck, Christoph Junker

“…We calculated crude rates and used Cox proportional hazard and logistic regression models to examine associations of assisted dying with gender, marital status, education, religion, neighbourhood socioeconomic status and other variables, and investigated trends over time.Results We identified 3941 assisted suicides among 6 237 997 Swiss residents, 80% of which occurred in the older age group. …”
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Treatment Patterns for Patients on Overactive Bladder Therapy: A Retrospective Statistical Analysis Using Canadian Claims Data by Adrian Wagg, Demitri Diles, Todd Berner

“…Descriptive results were evaluated using univariate (Kaplan-Meier) and multivariate (Cox proportional hazards) models. **Results:** Data were available for 31,754 patients. …”
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Minimizing Honey Bee Exposure to Pesticides by James D. Ellis, Jeanette Klopchin, Eileen Buss, Frederick M. Fishel, William H. Kern, Catharine Mannion, Eugene McAvoy, Lance S. Osborne, Michael Rogers, Malcolm Sanford, Hugh Smith, Phillip Stansly, Lukasz Stelinski, Susan Webb

“…Consequently, pesticide applicators must determine if there is a clear hazard to managed or wild populations of bees. Potential exposure of bees to pesticides can vary greatly depending on the type of pesticide, formulation, application method, label restrictions, and other factors. …”
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Prognostic impact of presenting symptoms of patients with hepatocellular carcinoma by Samuel Jun Ming Lim, Ying Hao, George Boon Bee Goh, Jason Pik Eu Chang, Chee Kiat Tan

“…On multivariable Cox regression analysis, only fluid retention (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.30–1.87) and jaundice (HR 1.36, 95% CI 1.07–1.74) were independently associated with shorter survival. …”
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Minimizing Honey Bee Exposure to Pesticides by James D. Ellis, Jeanette Klopchin, Eileen Buss, Frederick M. Fishel, William H. Kern, Catharine Mannion, Eugene McAvoy, Lance S. Osborne, Michael Rogers, Malcolm Sanford, Hugh Smith, Phillip Stansly, Lukasz Stelinski, Susan Webb

“…Consequently, pesticide applicators must determine if there is a clear hazard to managed or wild populations of bees. Potential exposure of bees to pesticides can vary greatly depending on the type of pesticide, formulation, application method, label restrictions, and other factors. …”
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Cesarean section and the gestational duration of subsequent pregnancies: A nationwide register-based cohort study. by Felix Evers, Christopher Flatley, Karin Ytterberg, Julius Juodakis, Pol Solé-Navais, Bo Jacobsson

“…However, the more appropriate survival models only showed an association between cesarean section and longer gestational duration of the subsequent pregnancy (adjusted hazard ratio 0.72, 95% CI 0.71-0.73).<h4>Conclusions</h4>The survival model handles bias related to management differences between the exposure and reference groups better than standard logistic regression, making it the statistical method of choice when conducting studies on this research topic. …”
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A systematic review on the influence of coagulopathy and immune activation on New Onset Atrial Fibrillation in patients with sepsis. by Brian W Johnston, Michael Downes, Angela Hall, Zachary Thomas, Ingeborg D Welters

“…There is evidence that C-reactive protein (CRP) is associated with NOAF, with hazard ratios 3.33 (3.32-3.35) p = 0.001 and odds ratios of 1.011 (1.008-1.014) p<0.001. …”
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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

“…It aims to explain predictions of machine learning survival models, which are in the form of survival or cumulative hazard functions. The main idea behind SurvBeNIM is to extend the Beran estimator by incorporating the importance functions into its kernels and by implementing these importance functions as a set of neural networks which are jointly trained in an end-to-end manner. …”
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Associations between depressive and anxiety symptoms and incident kidney failure in patients with diabetic nephropathy by Chunmei Qin, Yucheng Wu, Yutong Zou, Yuancheng Zhao, Deying Kang, Fang Liu

“…The cox proportional hazard analysis was performed to investigate the risk factors for progression to kidney failure in DN patients. …”
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THE IMPLICATIONS OF CLIMATE CHANGE ON STAPLE CROPS PRODUCTION IN EKPOMA, EDO STATE, NIGERIA by ILENRE ABRAHAM EHIZOJIE

“…The results reveal the causes of climate change in Ekpoma, the staple crops produced in Ekpoma at present, the major evidence of climate change having implications on staple crops production in Ekpoma, the implications of climate change on staple crops production in Ekpoma, Nigeriaand the adaptation strategies that have been used to mitigate its implications on staple crops production.Arising from the above findings, the following recommendations are made which include: effective and regular training and retraining of staple crops farmers on the knowledge of climate change, climate change related- hazards, the place of staple crops in Ekpoma, climatic conditions should be monitored to help predict potential climate change related hazards and how to circumvent them, practicing climate-smart agriculture which includes incorporating climate-hazard resistant crops and improving cultural practices, sustainable practices to manage diseases without harming the environment. governments at all levelsshould as a matter of urgency promulgate laws on the granting of soft loans, climate change related-hazards and diseases resistant species of staple crops and other inputs to staple crops farmers annually to encourage them.This paper is therefore concluded by advising the governments at all levels to effect the recommendations made by the researcher. …”
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Follow-up Care among Medicaid Patients with Schizophrenia treated with Antipsychotics in the Inpatient Setting by Amanda M. Farr, David M. Smith, Jacqueline A. Pesa, Zhun Cao

“…Kaplan-Meier curves and Cox proportional hazards models were used to describe and analyze time to follow-up visit and to identify patient and hospitalization characteristics associated with follow-up visit. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…In addition, it is suitable for various real data since the corresponding hazard rate function has an increasing, decreasing, reverse J-shape or J-shape. …”
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Effects of Pimobendan on Prolonging Time to Rehospitalization or Frequency of Rehospitalization in Patients with Heart Failure: A Retrospective Cohort Study Using a Medical Adminis... by Kazuhisa Kodama, Tatsunori Murata, Naoki Dohi, Masaaki Nakano, Toshiaki Yokoi, Tomohiro Sakamoto, Koichi Nakao

“…The cumulative incidence at 365 days was significantly lower in the pimobendan prescription group (pimobendan prescription group: 35.4% (95% CI: 29.8–41.8), non-prescription group: 51.2% (95% CI: 45.1–57.7), (P < 0.001). The adjusted hazard ratio in the pimobendan prescription group was 0.556 (95% CI: 0.426–0.725, P < 0.001). …”
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CPAP vs HFNC in treatment of patients with COVID-19 ARDS: A retrospective propensity-matched study by Ivan Šitum, Lovro Hrvoić, Ante Erceg, Anja Mandarić, Dora Karmelić, Gloria Mamić, Nikolina Džaja, Anđela Babić, Slobodan Mihaljević, Mirabel Mažar, Daniel Lovrić

“… # Results Intubation rate was 71.4% (30/42) in the HFNC group and 40.5% (17/42) in the CPAP group (*p* = 0.004). Hazard ratio for intubation was 3.676 (95% confidence interval \[CI\] 1.480 to 9.232) with the HFNC versus CPAP group. …”
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The impact of polypharmacy on health outcomes in the aged: A retrospective cohort study. by Irene Boateng, Carlos Rodriguez Pascual, Paul Grassby, Zahid Asghar, Kinda Ibrahim

“…The prevalence of polypharmacy was 47%. Adjusted hazard ratios with their 95% confidence intervals for association between polypharmacy and outcomes at five years were: mortality 1.60 (1.30-2.00), hospitalization 1.49 (1.30-1.70), falls 1.49 (0.90-2.40) and adverse drug reactions 0.97 (0.50-1.80). …”
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