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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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
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Distinct brain atrophy progression subtypes underlie phenoconversion in isolated REM sleep behaviour disorderResearch in context by Stephen Joza, Aline Delva, Christina Tremblay, Andrew Vo, Marie Filiatrault, Max Tweedale, Jean-François Gagnon, Ronald B. Postuma, Alain Dagher, Johannes Klein, Michele Hu, Petr Dusek, Stanislav Marecek, Zsoka Varga, John-Paul Taylor, John T. O'Brien, Michael Firbank, Alan Thomas, Paul C. Donaghy, Stéphane Lehéricy, Marie Vidailhet, Jean-Christophe Corvol, ICEBERG Study Group, Richard Camicioli, Howard Chertkow, Simon Lewis, Elie Matar, Kaylena A. Ehgoetz Martens, Lachlan Churchill, Michael Sommerauer, Sinah Röttgen, Per Borghammer, Karoline Knudsen, Allan K. Hansen, Dario Arnaldi, Beatrice Orso, Pietro Mattioli, Luca Roccatagliata, Oury Monchi, Shady Rahayel, Isabelle Arnulf, Samir Bekadar, Eve Benchetrit, Alexis Brice, Vanessa Brochard, Alizé Chalançon, Benoit Colsch, Florence Cormier-Dequaire, Jean-Christophe Corvol, Virginie Czernecki, Bertrand Degos, Cécile Delorme, Pauline Dodet, Carole Dongmo-Kenfack, Marie-Odile Habert, Farid Ichou, Jonas Ihle, Cécile Galléa, Rahul Gaurav, Marie-Alexandrine Glachant, Manon Gomes, David Grabli, Elodie Hainque, Laetitia Jeancolas, Christelle Laganot, Stéphane Lehéricy, Suzanne Lesage, Smaranda Leu-Semenescu, Richard Levy, Valentine Maheo, Graziella Mangone, Louise Laure Mariani, Aurelie Méneret, Poornima Menon, Fanny Mochel, Vincent Perlbarg, Dijana Petrovska, Fanny Pineau, Nadya Pyatigorskaya, Sophie Rivaud-Pechoux, Emmanuel Roze, Sara Sambin, Julie Socha, Arthur Tenenhaus, Romain Valabregue, Marie Vidailhet, Lydia Yahia-Cherif

“…Distinct brain atrophy patterns may already be seen in iRBD; however, how brain atrophy begins and progresses remains unclear. …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…Our method successfully captures temporal patterns, making it robust against subtle anomalies and structural changes. …”
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Exploring cognitive and emotional symptoms associated with hippocampal subfield atrophy in drug-induced Parkinsonism by Wei Zhou, MengYue Tang, Bo Cheng, Ling Sun, HongYu Lin, Yang Fan, Nian Liu, Shushan Zhang

“…This study explores hippocampal subfield volumes in DIP compared to Parkinson’s disease (PD) and healthy controls (HCs), investigating correlations with cognitive (Montreal Cognitive Assessment, MoCA), emotional (Hamilton Depression Rating Scale, HAMD; Hamilton Anxiety Rating Scale, HAMA), and motor (Unified Parkinson’s Disease Rating Scale, UPDRS) symptoms.MethodsA total of 19 DIP patients, 20 PD patients, and 20 HCs were enrolled. …”
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Sewage sludge from Taxco de Alarcón wastewater treatment plant as substrate to cultivate Panicum maximum by Erik Yoel Carreto-Morales, Jazmin Alaide López-Díaz, Mariana Martínez-Castrejón, Oscar Talavera-Mendoza, Roberto Carlos Almazán-Núñez, Giovanni Hernández-Flores

“…The response variables analyzed for MG were germination time (one month after plant emergence), height (HMG), growth rate GrMG, and yield (YMG), whereas in the SS and PS the content of organic matter was analyzed. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Markers of vascular damage depending on the blood pressure level: data of the population study ESSE-RF by A. M. Erina, M. A. Boyarinova, E. V. Moguchaya, E. P. Kolesova, A. S. Aliyeva, O. P. Rotar, E. I. Baranova, S. A. Shalnova, A. D. Deev, Z. T. Astakhova, L. Z. Bolieva, G. V. Tolparov, V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva, R. S. Karpov, A. Yu. Efanov, M. A. Storozhok, I. V. Medvedeva, S. V. Shalaev, A. N. Rogoza, A. O. Konradi, S. A. Boytsov, E. V. Shlyakhto

“…Glomerular filtration rate (GFR) was calculated using the CKD-EPI equation. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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