Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

“…The results showed substantial rising maximum and minimum temperatures in all urban districts and relative humidity was found to have an increasing significant trend at the rate of 0.18–0.20%/year during the winter season. …”
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Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

“…After 10 cycles, the strain at the peak damage rate was significantly reduced, indicating that acidic environments induce increased brittleness in limestone. …”
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Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

“…The proposed method achieves a low false positive rate of 1% for each class and a missed detection rate ranging from 0.02% for OWT to 0.04% for SI and SIT, along with an overall accuracy of 96.5% and an area under curve (AUC) value close to 1. …”
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Dimensional stabilization of 55%SiCp/Al composites by CUI Yan, LI Pengwei, LI Shuo, CAO Leigang, YANG Yue, LIU Yuan

“…The results show that compared with the 14 μm particle-reinforced samples， the 76 μm particle-reinforced samples and the gradation of 14 μm and 76 μm particle-reinforced samples show better dimensional stability， the size change rate （dV/V） of the control samples can be stabilized at about 1×10-3. …”
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Morbidity, mortality, and risk factors associated with Theileria parva seropositivity in a longitudinal calf study, Narok, Kenya by Wyckliff Ngetich, George Karuoya Gitau, Tequiero Abuom Okumu, Gabriel Oluga Aboge, Daniel Muasya

“…The cumulative incidence rate was 37 cases per 100 calf-years with higher incidence rate in agro-pastoral system. …”
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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

“…In this study, we applied random forest machine learning with variable importance measures to quantify the relative importance of key physiological traits - including photosynthetic rate (Pn), photosynthetic performance index (PIabs), electron transport rate (ETR), maximum photosystem II efficiency (Fv/Fm), superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content- in rice subjected to NaCl (0.3%) and Prohexadione-Calcium (PCa) co-treatment. …”
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How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

“…We find that a system’s growth rate during the first 2 h of development predicts its final size with a Pearson correlation coefficient of 0.65. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Based on evaluation metrics, the AdaBoost model was identified as the best-performing model, achieving an accuracy of 97.45%, an F1 score of 97.7%, and the Receiver Operating Characteristics Area Under the Curve (ROC-AUC) with a higher true positive rate and a lower false positive rate. The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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Applying energy efficiency strategies to university buildings using Design Builder program "Case study of the Faculty of Commerce building at Sohag University as a case study" تطبي... by Heba Talah Anwar khelef, Ahmed A Farghaly, Mohamed H ElHafnawy

“…University buildings consume a large percentage of energy rates in buildings in general due to their occupants, their activities and their occupancy pattern, as the higher education sector constitutes a small but important part of the existing global buildings sector, which is 20% of the non-residential horizontal area. …”
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Red cell distribution width-to-platelet ratio (RPR) as a predictor of prolonged stay at hospital for COVID-19 inpatients by Martha Fors, Santiago J. Ballaz

“…One exemption was the red cell distribution width-to-platelet ratio (RPR) index, which can increase the probability of a longer hospital stay by up to ten times (HR(IC95%) = 0.092(0.03-0.29); p < 0.001).Conclusion The most effective biomarker to identify COVID-19 patients at high risk for extended hospital stay was RPR.Highlights IntroductionDetermining hospital Length of Stay (LoS) is vital for resource management, especially for future COVID-19 outbreaks.Previous studies have primarily focused on sociodemographic and clinical attributes, along with resource availability, but have not accounted for other factors like routine laboratory tests, which can significantly impact LoS predictions.This study examines novel hematology scores as predictors of LoS, emphasizing their importance in resource-limited settings like Ecuador.MethodsThis retrospective cohort study analyzed 2,930 COVID-19 patients admitted to Hospital IESS Quito Sur in Ecuador focusing on confirmed cases with complete blood count (CBC) values to assess LoS.The study explored various hematological ratios, such as the neutrophil-to-lymphocyte ratio (NLR) and red cell distribution width-to-lymphocyte ratio (RLR), as potential predictors of LoS and in-hospital outcomes for COVID-19 patients, using a combination of univariate and multivariable Cox proportional hazards regression models.Kaplan-Meier survival estimates and log-rank tests were used to analyze survival and discharge probabilities over time, highlighting sex-dependent effects and the significant association between selected hematological indices and patient outcomes.ResultsThe mean LoS for survivors was significantly shorter compared to those who died (p < 0.001), indicating that longer hospitalization was associated with higher mortality risk.Women had a shorter average LoS (with lower mortality risk (p < 0.001), suggesting an asymmetrical hospitalization pattern based on sex.While most hematological markers had minimal clinical relevance for LoS, the red cell distribution width-to-platelet ratio (RPR) stood out, increasing the likelihood of a longer hospital stay by up to tenfold, making it a critical factor in predicting prolonged hospitalization.DiscussionMen had longer hospital stays and higher mortality rates than women, likely due to differing inflammatory responses, though hyperinflammation markers like NLR, PLR, and Leu-CPR had minimal clinical impact.RPR had the strongest link to longer hospital stays, indicating a higher risk of extended hospitalization in severe COVID-19 cases.Elevated RPR is tied to oxidative stress and coagulation issues, suggesting early identification could help reduce prolonged stays and complications.ConclusionResearch generally points to clinical complications from COVID-19 as the main factor behind prolonged hospitalizations, underlining the importance of early identification and management of these issues.…”
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Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review by ShiYing Shen, Wenhao Qi, Jianwen Zeng, Sixie Li, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Yankai Shi, Jiani Yao, Bingsheng Wang, Xiajing Lou, Simin Gu, Pan Li, Jinghua Wang, Guowei Jiang, Shihua Cao

“…These findings underscore the technology’s potential to transform mental health care through objective, continuous monitoring—particularly for depression (heart rate and step count biomarkers) and anxiety (sleep and social interaction patterns). …”
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Characterization of Pore Water Flow in 3‐D Heterogeneous Permeability Fields by Xiaolong Geng, Michel C. Boufadel, Kenneth Lee, Chunjiang An

“…The structures exhibit scale‐invariant features in multifractal fields and in stationary fields below the correlation scale, indicating that such vortex flow might be widely present with no characteristic scale. Complex spatial patterns of kinetic energy dissipation rate are identified for pore water flowing through heterogeneous porous media and correlate strongly with preferential flows. …”
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Optimising heat transfer efficiency in unsteady Maxwell hybrid nanofluid flow for solar energy by Sweeti Yadav, S. Shashi Prabha Gogate, P.A. Dinesh, K.R. Roopa

“…In the case of suction, the unsteady parameter heat transfer rate for hybrid nanofluid is 18.78%, while 28.48% for injection. …”
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The Influence of Meltwater on Phytoplankton Blooms Near the Sea‐Ice Edge by C. W. Lester, T. J. W. Wagner, Dylan E. McNamara, M. R. Cape

“…We extend the classic Fisher reaction‐diffusion equation to consider a time‐ and space‐varying death rate that represents the role of meltwater in the system. …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

“…The model can be used to predict the phenotypes of novel mutations and effective ranges of the unmeasured rate constants and transport coefficients in the proposed mechanism.…”
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Anaesthetic practices in non-operating room settings for paediatric patients: A prospective observational study by Nayana Amin, Pallavi Patil, Virinchi Sanapala

“…There were 221 adverse events in 117 patients. The incidence rate of patients experiencing at least one adverse event leading to morbidity was 3.22%. …”
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Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq Data. by Xuejun Liu, Li Zhang, Songcan Chen

“…These variables are embedded to the rate parameter of a Poisson model to account for the overdispersion of read distribution. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…This strengthens the visual capturing of spatial relationships, and as a result the correlation rate between air temperature and building volume data is also increased. …”
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A mixture transmuted generalized extreme value distribution: Definition and properties by Yang Yu, Sun HongGuang, Xu Zheng

“…In this paper, the properties of the survival function, hazard rate function, mean and variance, and maximum likelihood estimations of the mixture transmuted generalized extreme value distribution are provided, also the corresponding equations are given.…”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…Validated on &#x003E;1M health records, the method achieves a 0.5049 Balanced Error Rate, outperforming six baselines across 42 health categories. …”
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