Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran by Ghasem Farahmand, Behzad Hessari, Hossein Salehi

“…Furthermore, land‐use change assessments indicated that expanding orchards and irrigated and rain‐fed agricultural lands will significantly elevate future peak discharge, with differences exceeding 10 m3/s in sub‐basins like Nazlochay and Barandozchay, driven by reduced infiltration and increased runoff rates. Modeling with these tools confirmed that climate and land‐use changes synergistically alter flood dynamics, a pattern consistent with regional studies. …”
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The Clinical and Pathological Characteristics of Patients with Proliferative Glomerulonephritis with Monoclonal Immunoglobulin Deposits by Tariku T. Gudura, Hanny Sawaf, Randy Ogbenna, Ali Mehdi, Leal Herlitz, Surafel K. Gebreselassie, Shane A. Bobart

“… Introduction: Proliferative glomerulonephritis with monoclonal immunoglobin (Ig) deposits (PGNMID) is a rare form of kidney disease associated with low monoclonal protein detection rates and poor renal outcomes. The lack of effective therapy is partly due to limited data and understanding of its pathogenesis. …”
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Oral and maxillofacial cancer: A 35-year retrospective analysis at a referral dental hospital in Saudi Arabia by Ohoud Nasser Alotaibi

“…Objectives: As rates of oral and maxillofacial cancer (OMFC) continue to rise, the role of dentists in early detection and prevention has become increasingly important. …”
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Protection of the C. elegans germ cell genome depends on diverse DNA repair pathways during normal proliferation. by Bettina Meier, Nadezda V Volkova, Ye Hong, Simone Bertolini, Víctor González-Huici, Tsvetana Petrova, Simon Boulton, Peter J Campbell, Moritz Gerstung, Anton Gartner

“…Nucleotide excision repair deficiency led to higher base substitution rates, whereas polh-1(Polη) and rev-3(Polζ) translesion synthesis polymerase mutants resulted in 50-400 bp deletions. …”
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Experimental study on the dynamic properties of low-cement sludge solidified soil under long-term cyclic loading by Jiantao Lin, Wenjun Wang, Xiao Cheng, Haoqiang Pan

“…The test results revealed the following: (1) The cumulative deformation of the solidified soil exhibited either a “stable” or a “failure” pattern, with the transition governed by the critical dynamic load, which was strongly influenced by the cement content. (2) Increasing the cement content significantly enhanced the fatigue resistance of the solidified soil; when the content was increased from 4 to 6%, the fatigue life improved by up to 575%. (3) When the cement content exceeded 6%, the growth rates of both fatigue life and initial dynamic elastic modulus slowed markedly, indicating a clear phenomenon of diminishing marginal returns. …”
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Adapting Efficiency Analysis in Health Systems: A Scoping Review of Data Envelopment Analysis Applications During the COVID-19 Pandemic by Athanasios Mitakos, Panagiotis Mpogiatzidis

“…There was an evident shift towards incorporating undesirable outputs, such as mortality rates, in the DEA models amidst the pandemic. The influence of external and non-discretionary factors became more pronounced in DEA applications, highlighting the interconnected nature of global health challenges. …”
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Investigation of gas natural separation process unsteady features by means of an experimental rig and mathematical modeling by V. A. Ivanov, V. S. Verbitsky, R. A. Khabibullin, K. A. Goridko, E. I. Nikonov

“…The experiments were carried out on a test rig with the inner diameter of the casing model 80 mm and the outer diameter of the intake module 64 mm, taking into account the possibility of measuring liquid and gas flow rates, as well as high-speed video recording of the processes occurring in the near-intake domain of the well model. …”
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The effects of stimulus variability on the perceptual learning of speech and non-speech stimuli. by Karen Banai, Sygal Amitay

“…Significant learning was only observed following speech training, with similar learning rates and full generalization regardless of whether training used random or blocked schedules. …”
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Fcγ receptor I alpha chain (CD64) expression in macrophages is critical for the onset of meningitis by Escherichia coli K1. by Rahul Mittal, Sunil K Sukumaran, Suresh K Selvaraj, David G Wooster, M Madan Babu, Alan D Schreiber, J Sjef Verbeek, Nemani V Prasadarao

“…Neonatal meningitis due to Escherichia coli K1 is a serious illness with unchanged morbidity and mortality rates for the last few decades. The lack of a comprehensive understanding of the mechanisms involved in the development of meningitis contributes to this poor outcome. …”
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ON THE SPECIFIC STATE OF CRUSTAL STRESSES IN INTRACONTINENTAL OROGENS by Yu. L. Rebetsky

“…If the regional strain rates currently recorded by the GPS-geodesy are taken into account, such additional stresses need to be applied for about 10 million years to fulfill the transition.…”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals’ pupil diameter successfully tracked (cluster-based permutation p <0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Geographical variation of overweight, obesity and related risk factors: Findings from the European Health Examination Survey in Luxembourg, 2013-2015. by Hanen Samouda, Maria Ruiz-Castell, Valery Bocquet, Andrea Kuemmerle, Anna Chioti, Frédéric Dadoun, Ngianga-Bakwin Kandala, Saverio Stranges

“…Large disparities in the prevalence of overweight and obesity were found between municipalities, with the highest rates of obesity found in 3 municipalities located in the South-West of the country. …”
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Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…To tackle the challenge of decreasing fertility rates effectively, it is essential that interventions focus on younger women and highlight the advantages of living with multiple generations. …”
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From Margin to Mainstream: Informal Street Vendors and Local Politics in Kolkata, India by Tathagata Chatterji, Souvanic Roy

“…A new, fragmented spatial structure has started emerging, with the middle classes and the globalizing segments of the economy, moving away to gated enclaves at the urban fringe. These changes are not isolated phenomenon, but rather symptomatic with the larger process of urban transformation and entwined with the political-economic change in the state level.…”
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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…Subsequently, seven sentiment-based features are extracted to quantify statistical disparities in emotional expression patterns between bot and human accounts. An attention gating mechanism is further designed to dynamically fuse these sentiment features with user description, tweet content, numerical attributes, and categorical features. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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Mannheim Peritoneal Index in the Prediction of Postoperative Complications in Patients with Peritonitis by N. N. Aksenova, F. R. Akhmerov, M. V. Maleyev

“…In patients with local postoperative complications being developed, the MPI values were higher (p<0.05) than in those without them. The mortality rates that have been predicted by means of MPI (16.3%) and actual (15.2%) are actually in agreement. …”
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