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

“…Our analysis of routing activation patterns reveals that MoL-MoE dynamically adjusts its use of different molecular representations based on task-specific requirements. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

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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

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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Development technologies and models of different types of gas reservoirs in Ordos Basin, NW China by Ailin JIA, Dewei MENG, Guoting WANG, Guang JI, Zhi GUO, Naichao FENG, Ruohan LIU, Suqi HUANG, Shuai ZHENG, Tong XU

“…Four key directions of future research and technological breakthroughs are proposed: (1) Utilizing dual-porosity (fracture-matrix) modeling techniques in low-permeability carbonate reservoirs to delineate the volume and distribution of remaining gas in secondary pay zones, supporting well pattern optimization and production enhancement of existing wells. (2) Integrating well-log and seismic data to characterize reservoir spatial distribution of successive strata, enhancing drilling success rates in low-permeability sandstone reservoirs. (3) Utilizing the advantages of horizontal wells to penetrate effective reservoirs laterally, achieving meter-scale quantification of small-scale single sand bodies in tight gas reservoirs, and applying high-resolution 3D geological models to clarify the distribution of remaining gas and guide well placement optimization. (4) Further strengthening the evaluation of deep coal-rock gas in terms of resource potential, well type and pattern, reservoir stimulation, single-well performance, and economic viability.…”
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Ultrahigh-throughput single-pixel complex-field microscopy with frequency-comb acousto-optic coherent encoding (FACE) by Daixuan Wu, Yuecheng Shen, Zhongzheng Zhu, Tijian Li, Jiawei Luo, Zhengyang Wang, Jiaming Liang, Zhiling Zhang, Yunhua Yao, Dalong Qi, Lianzhong Deng, Zhenrong Sun, Meng Liu, Zhi-Chao Luo, Shian Zhang

“…However, limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging. …”
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Prevalence and sequence of chronic conditions in older people with dementia: a multi-province, population-based cohort study by Susan E. Bronskill, Azmina Artani, Laura C. Maclagan, Xuesong Wang, Hannah Chung, J. Michael Paterson, Andrea Gruneir, Karen A. Phillips, Rasaq Ojasanya, Xibiao Ye, Kayla McLean, Fernanda Ewerling, Claire Godard-Sebillotte, Victoria Massamba, Louis Rochette, Isabelle Vedel, Larry Shaver, Catherine Pelletier, Colleen J. Maxwell

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Dynamics of cerebral blood flow following sertraline treatment in adolescent depression by Wenyu Ren, Wenyu Ren, Xiao Liu, Zhiwei Zhang, Xiaoqin Zhang, Wei Wu, Xingyu Wang, Zhihui Yu, Chuan Liu, Renqiang Yu

“…Furthermore, Pearson correlation analysis was employed to examine associations between changes in regional CBF and clinical improvement, as measured by changes in the 17-item Hamilton Depression Rating Scale (HAMD-17) scores.ResultsAt baseline, adolescents with depression exhibited increased CBF in the posterior cuneus and decreased CBF in the middle temporal gyrus (MTG), right middle orbitofrontal gyrus, and the left middle frontal gyrus (MFG), compared to healthy controls. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…Quality findings from the early-stage, interim-stage, and conclusion-stage QC rounds of clinical trials were rated by using 3 severity grades (minor, major, or critical) and classified into 5 categories (with 4 taxonomy levels under each category). …”
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Criminal legal penalties, substance use, and overdose: a concept mapping study examining Colorado’s criminal legal penalties by Katherine LeMasters, Samantha K. Nall, Cole Jurecka, Betsy Craft, Paul J. Christine, Ryan Goodman, Jessie Henderson, Robert Haywood-James, Angela Williams, Grace Wittner, Joshua A. Barocas

“…Participants — recruited from community-based organizations — identified, rated, sorted, and categorized factors affecting criminal legal involvement, substance use, and/or overdose in their community. …”
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Functioning in patients with major depression treated with duloxetine or a selective serotonin reuptake inhibitor in East Asia by Novick D, Montgomery W, Haro JM, Moneta MV, Zhu G, Yue L, Hong J, Duenas H, Brugnoli R

“…Depression severity was assessed using the 16-item Quick Inventory of Depressive Symptomatology-Self Report. PPS were rated using the modified Somatic Symptom Inventory. …”
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Burden of six common sexually transmitted infections groups in North Africa and Middle East Region from 1990 to 2021: A systematic analysis of global burden of diseases by Amirhossein Shahsavand, Leonardo Oliveira Reis, Ali Golestani, Alireza Namazi Shabestari, Ziba Aghsaeifard, Ozra Tabatabaei-Malazy, Iman Menbari Oskouie, Bagher Larijani, Seyed Mohammad Kazem Aghamir

“…Both age-standardized rates (ASRs) and total numbers were evaluated across 21 NAME countries, with breakdowns by sex, age, and sociodemographic index (SDI). …”
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Real-World Evidence of Safety and Efficacy of Carboplatin plus Nanoparticle Albumin-Bound Paclitaxel in Patients with Advanced Non-Small-Cell Lung Cancer and Preexisting Interstiti... by Tomoyuki Araya, Toshiyuki Kita, Tsukasa Ueda, Nanao Terada, Tamami Sakai, Kenta Yamamura, Koji Kurokawa, Yuka Uchida, Takashi Sone, Hideharu Kimura, Kazuo Kasahara

“…The overall response and disease control rates were 77.8% (95% CI, 40.0–97.2) and 88.9% (95% CI, 51.8–97.2), respectively. …”
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Monolayer graphene/platinum-modified 3D origami microfluidic paper-based biosensor for smartphone-assisted biomarkers detection by Arda Fridua Putra, Annisa Septyana Ningrum, Suyanto Suyanto, Vania Mitha Pratiwi, Muhammad Yusuf Hakim Widianto, Irkham Irkham, Wulan Tri Wahyuni, Isnaini Rahmawati, Fu-Ming Wang, Chi-Hsien Huang, Ruri Agung Wahyuono

“…Key results: The optimized 10 mM G/Pt catalyst significantly improved reaction rates (18× faster), leading to a rapid detection time constant of 6.69 and 4.59 s for dopamine and NADH, respectively. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Advanced lung cancer inflammation index and its predictive value for all-cause and cardiovascular mortality among osteoarthritis patients: a NHANES-based study from 2001 to 2018 by Guiyou Wu, Guiyou Wu, Dongqiang Gu, Dongqiang Gu, Haigang Jia, Haigang Jia, Lei Hong, Lei Hong, Xishun Wang

“…These methodological strategies ensured comprehensive exploration of the ALI-mortality link in OA patients while minimizing bias and enhancing generalizability.ResultsThis research delved into the health records of 2,133 individuals, revealing a notable connection: those with OA and higher ALI scores exhibited significantly lower rates of both overall and CVD-related fatalities. …”
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Postoperative liver dysfunction in gastric cancer patients following early enhanced nutritional protocols: a retrospective observational study by Kazuo Kobayashi, Satoshi Ida, Masanari Tsuji, Arisa Nawa, Takeshi Aoyama, Takashi Yokokawa, Yoshikazu Tateai, Shuichi Watabe, Hisanori Shimizu, Souya Nunobe, Masakazu Yamaguchi

“…The incidence rates of Grade 1 or higher elevations were 51.8% for AST and 39.4% for ALT on POD 1, and 47.9% for AST and 42.0% for ALT on POD 7. …”
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