Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation by Muhammad Ahmad, Ildar Batyrshin, Grigori Sidorov

“… Abstract BackgroundThe opioid crisis poses a significant health challenge in the United States, with increasing overdoses and death rates due to opioids mixed with other illicit substances. …”
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3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

“…The inherent challenges posed by natural fracture networks and lithological disintegration in tight oil reservoirs significantly impede drilling integrity, completion efficiency, and hydrocarbon recovery rates. This study introduces a novel multi-scale quantitative characterization framework that fundamentally distinguishes itself from prior works through three key innovations. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…Thus, there is a need for erosion models, necessarily process-focused ones, which are able to reliably represent the rates and extents of soil erosion under unprecedented circumstances. …”
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The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data by Shouyi Wang

“…It remains a significant medical challenge due to its high mortality rates and requires a deeper understanding of its underlying mechanisms. …”
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“Prevalence of disordered eating and eating disorders among Norwegian university students before and after the COVID-19 pandemic, 2018 and 202.: The SHoT study.” by Lisa Marie Jacobsen, Gørill Haugan, Gina Dimitropoulos, Amelia Austin, Børge Sivertsen, Tonje Braaten, Ottar Bjerkeset

“…Results From 2018 to 2022, the prevalence of self-reported EDs increased among females (3.5% in 2018 and 4.5% in 2022) and males (0.4% in 2018 and 0.6% in 2022), while gender-diverse students exhibited the overall highest ED rates (around 10% in both surveys). Anorexia nervosa remained the most common ED among females. …”
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Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review by Wilson Kin Chung Leung, Connie Yim Ching Yau, Simon Ching Lam

“…However, due to inappropriate designs and ineffective promotional strategies, the rates of uptake and continued use of mHealth applications in older adults are usually low. …”
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Influence of exercise interventions on functional movement screen scores in athletes: a systematic review and meta-analysis by Ali Asghar Maleki, Seyed Hamed Mousavi, Mohamad Ali Biabangard, Hooman Minoonejad

“…Abstract The functional movement screen (FMS) is a widely recognized tool for evaluating movement patterns and identifying potential injury risks in athletes. …”
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Prevalence of Dal blood type and dog erythrocyte antigens 1 and 4 among canine blood donors and recipients in Seoul, South Korea by Hyouju Kim, Hyun-Jung Han

“…The prevalence of DEA 1 observed in this study (70.48%) is consistent with prior studies; however, Dal and DEA 4 exhibited lower prevalence rates than those reported in Europe and North Americas, with Dal at 77.14% (compared to 89.3–100%) and DEA 4 at 92.38% (compared to 98.8–100%). …”
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Assessment of radioactive substance transfer and its ecological and health impacts on the Nasser Lake ecosystem by Khaled Ali, Abd El-Basset Abbady, Ahmed Abu-Taleb, Shaban Harb

“…Spatial distribution patterns were analyzed using Geographic Information System (GIS) techniques to identify zones of elevated radioactivity. …”
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A simulation-based network analysis of intervention targets for comorbid symptoms of depression and anxiety in Chinese healthcare workers in the post-dynamic zero-COVID policy era by Chao Zhang, Ruyong Li, Wei Zhang, Yanqiang Tao, Xiangping Liu, Yichao Lv

“…This study first calculated the incidence rates of anxiety, depression, and their comorbidity, and then constructed the comorbid Ising network. …”
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Laboratory Analysis of Soil Physicochemical Properties Based on Agricultural Fertilizer Input Requirement Application: A Case of Haramaya University, Ethiopia by Turyasingura, Benson, Chavula, Petros, Mohammed, Yasin, Eliyas, Abdi Alic, Girmac , Tesfasilassie, Sadeso, Kumale, Shentema, Solomon, Abebed, Aschalew, Katel, Shambhu, Timsina, Sandipa

“…Exchangeable calcium ranged 4.99 cmol (+)/kg to 18.34 cmol (+)/kg with a mean of 12.02 cmol (+)/kg which is rated as high. The potassium value of (0.05, 0.82 meq/100gm), 0.06 meq/100gm and (0.13, 0.46 meq/100gm) of soil respectively. …”
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Antimicrobial susceptibility profiles of thermophilic Campylobacter species from human, pig, and chicken feces in Rwanda by Noel Gahamanyi, Noel Gahamanyi, Arsene Musana Habimana, Jean Paul Harerimana, Josiane Mukayisenga, Salomon Ntwali, Anathali Umuhoza, Emmanuel Nsengiyumva, Emmanuel Irimaso, Jean Bosco Shimirwa, Cheol-Ho Pan, Erick Vitus Komba, Claude Mambo Muvunyi, Nadine Rujeni, Raghavendra G. Amachawadi

“…Further genomic analysis will shed more light on the transmission and drug resistance patterns.…”
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Antitumor power of oncolytic HSV engineered with IL-12 and IL-15 by Lei Zhang, Yanbin Zhu, Kunpeng Zheng, Xinyu Zhang, Chunxue Fu, Dan Wang, Xinqiang Zhang, Tong Wu, Shuxin Han, Zhenghai Ma

“…The engineered oHSV-1 demonstrated growth patterns comparable to wild-type HSV-1. The viral titers exhibited consistency within the same tumor cells. …”
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<i>SHROOM3</i> Deficiency Aggravates Adriamycin-Induced Nephropathy Accompanied by Focal Adhesion Disassembly and Stress Fiber Disorganization by Li-Nan Xu, Ying-Ying Sun, Yan-Feng Tan, Xin-Yue Zhou, Tian-Chao Xiang, Ye Fang, Fei Li, Qian Shen, Hong Xu, Jia Rao

“…Clinically, the glomerular <i>SHROOM3</i> expression positively correlated with glomerular filtration rates in focal segmental glomerulosclerosis patients. …”
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Satellite-Based Prediction of Water Turbidity Using Surface Reflectance and Field Spectral Data in a Dynamic Tropical Lake by Elsa Pereyra-Laguna, Valeria Ojeda-Castillo, Enrique J. Herrera-López, Jorge del Real-Olvera, Leonel Hernández-Mena, Ramiro Vallejo-Rodríguez, Jesús Díaz

“…In this study, we utilized Landsat satellite imagery in conjunction with near-synchronous in situ reflectance measurements to monitor spatial and seasonal turbidity patterns between 2023 and 2025. The surface reflectance was radiometrically corrected and validated using spectroradiometer data collected across eight sampling sites in the eastern sector of the lake, the area where the highest rates of horizontal change in turbidity occur. …”
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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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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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