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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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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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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