Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

“…[Objectives] This study focuses on the damage patterns of limestone in karst regions under acidic dry-wet cycles, aiming to explore the effects of the coupled action of acidic environment and dry-wet cycles on the mechanical properties and damage mechanisms of 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

“…According to the comparison of X-ray diffraction patterns， the thermal-cold cycling treatment after the solid solution can promote the precipitation of the strengthening phase of Al2Cu significantly.…”
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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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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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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

“…Those systems can have large cloud shields, and thus not only affect severe precipitation patterns but also play a crucial part in modulating the tropical radiation budget. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Also, it can provide insights into infection patterns, allowing practitioners to adapt their responses. …”
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From Funding Equity Initiatives to Research Productivity: Quantifying the Impact of NSF ADVANCE Awards on Recipients’ Publication Trajectories by Alexander J. Gates, Laura K. Nelson, Rachael Grudt, Kathrin Zippel

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From Margin to Mainstream: Informal Street Vendors and Local Politics in Kolkata, India by Tathagata Chatterji, Souvanic Roy

“…Power relations and engagement patterns between the street vendors and the state authorities had changed over years, impacting quality of life within the core city and its long term sustainability. …”
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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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Warming From Land Use and Land Cover Change Associated With Economic Growth in the Permafrost Regions of the Northern Hemisphere by Xiaoqing Peng, Xuanjia Li, Rong Wang, Oliver W. Frauenfeld, Hengxing Luo, Panpan Wang, Chen Yang, Gubu Qiumo

“…Additionally, spatial economic growth patterns indicate increases from south to north, with decreasing economic inequality. …”
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The Characteristics of Energetic Electron Precipitation Based on Low Altitude FY‐3E Satellite Measurements by Yu‐Xuan Li, Chao Yue, Jianjun Liu, Zejun Hu, Qiugang Zong, Xuzhi Zhou, Shan Wang, Yixin Sun, Ying Liu, Hong Zou, Yongfu Wang, Yuguang Ye

“…Abstract This study statistically analyzes the electron precipitation patterns from 40 to 600 keV on dawnside and duskside and their correlations with geomagnetic activities and solar wind conditions based on Low‐Earth Orbit Fengyun‐3E (FY‐3E) satellite during July 2021 to May 2024. …”
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A Case of Severe Septicemia With Chromobacterium violaceum in Bangladesh by Tuhin Sadique, Asif Reza Khan, Dilruba Ahmed, Fazlul Kabir, Anup Chowdhury, Nazrul Islam, Farhana Halim, Nasrin Akter, Shoeb Bin Islam

“…Infections with C. violaceum have rarely been reported in humans, with an exceptionally high mortality rate, particularly when linked to septicemia. We report the case of a 45‐year‐old female farmer from Bangladesh who developed severe septicemia following an insect bite and subsequent self‐drainage of an abscess. …”
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Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China by Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen, Cao Kexin, Shigui Yang

“…This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. …”
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Management and outcomes of patients with obstructive jaundice from pancreatobiliary diseases in Rwanda by Zainab Ingabire, Aberra B. Hanna, Emile Sebera, Janvier Murayire, Gamal S. Mohamed, Eric Rutaganda, Felicien Shikama, Marie Solange Mukanumviye, Dyna Nyampinga, Innocenti Dadamessi, Kulwinder Dua, Redae Berhane

“…The overall procedures technical success rate was 82.61%; with PTBD success rate of 91.67%, surgical procedures showed higher success rate 100%, while ERCP had a success rate of 79.44%. …”
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Geomorphic index alterations and socioeconomic implications: A case study of a Coastal River system in Bangladesh by Sukhen Goswami, Md. Masum Billah, Md Sabbir Hossen, Mehedi Hasan Ovi, Shacin Chandra Saha, Mir Md. Tasnim Alam, Probir Kumar Bhowmik, Atikul Haque Farazi, Md. Ashraful Islam, Dhiman Kumer Roy

“…Mid-channel bar formation, absent before 2000, reached 4.0 km2 by 2023, affecting flow patterns. The widening rate shifted from a maximum of 19 m/year (1980–2000, pre-sand mining) to 27 m/year (2000–2023, post-sand mining), with a peak near Doarika Bridge, which increased the vulnerability of the Barishal Airport area, averaging 3.65 m/year. …”
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Investigation on the Use and Preauthorization of Carbapenems at A National Hospital in Vietnam: A Cross‐Sectional Study by Han Ngoc Bao Pham, Nhi Truc Y. Nguyen, Nhu Quynh Tran, An Thi Thanh Nguyen, Cam Thi Le Pham, Nhan Thi Thanh Dang, Hien Thi Thu Pham, Thong Duy Vo, Mai Thi Phuong Tran, Quynh Thi Huong Bui

“…The data regarding microbiological features, carbapenem resistance patterns, characteristics of the use and preauthorization of carbapenems, and treatment outcome were collected for analysis. …”
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Analysis of COVID-19 prevalence in Belarus, Thailand, and Lithuania utilizing the SIR model during the COVID era by Zahra Shirmohammadi, Khosro Rezaee, Mehdi Gheisari, Mojtaba Farmani, Fatemeh Aali, Reza Soltani, Hossein Razghandi

“…Instead of relying on static or globally derived estimates, the model parameters—infection rate (β) and removal rate (γ)—were dynamically calculated for distinct time periods in each country, using country-specific data extracted from Worldometer. …”
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Comparative transcriptome analysis of the effect of different heat shock periods on the unfertilized ovule in watermelon (Citrullus lanatus) by Ying-chun ZHU, De-xi SUN, Yun DENG, Guo-lin AN, Wei-hua LI, Wen-jing SI, Jun-pu LIU, Xiao-wu SUN

“…However, because of low repeatability, embryoid induction rate and quality, the molecular mechanisms remain poorly understood. …”
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