Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition by A. Pohle, K. Stevens, R. Hoffmann, A. Immenhauser, A. Immenhauser

“…We used comparative Bayesian phylogenetic tools to reconstruct ancestral states and phenotypic evolutionary rates of these geochemical data based on trees inferred from morphological data. …”
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Evaluation of the Effects of Anesthetics and Surgery on Sleep Quality in Patients Undergoing Posterior Spinal Instrumentation Surgery: A Prospective Randomised Clinical Trial by Selcan Akesen, Gökay Eken, Yücel Bilgin, Saltuk Buğra Güler, Elifgül Ulutaş

“…Introduction: The aim of the study is to evaluate the impact of the anesthesia methods and surgical procedure on the sleep patterns and sleep quality of patients undergoing posterior spinal instrumentation, using the Pittsburgh Insomnia Rating Scale-20 (PIRS-20). …”
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson’s disease for the development of neuronal fingerprints using artificial... by Martijn Beudel, Rick Schuurman, Rob M A de Bie, Deborah Hubers, Mariëlle J Stam, Martijn G J de Neeling, Bart J Keulen, Arthur W G Buijink, Bernadette C M van Wijk

“…Correlations will be tested between spectral features of LFP data and symptom severity, which will be assessed using (1) inertial sensor data from a wearable smartwatch, (2) clinical rating scales and (3) patient diaries and analysed using conventional descriptive statistics and artificial intelligence algorithms. …”
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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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Clinical features of patients with dysthymia in a large cohort of Han Chinese women with recurrent major depression. by Wenqing Wu, Zhoubing Wang, Yan Wei, Guanghua Zhang, Shenxun Shi, Jingfang Gao, Youhui Li, Ming Tao, Kerang Zhang, Xumei Wang, Chengge Gao, Lijun Yang, Kan Li, Jianguo Shi, Gang Wang, Lanfen Liu, Jinbei Zhang, Bo Du, Guoqing Jiang, Jianhua Shen, Ying Liu, Wei Liang, Jing Sun, Jian Hu, Tiebang Liu, Xueyi Wang, Guodong Miao, Huaqing Meng, Yi Li, Chunmei Hu, Yi Li, Guoping Huang, Gongying Li, Baowei Ha, Hong Deng, Qiyi Mei, Hui Zhong, Shugui Gao, Hong Sang, Yutang Zhang, Xiang Fang, Fengyu Yu, Donglin Yang, Tieqiao Liu, Yunchun Chen, Xiaohong Hong, Wenyuan Wu, Guibing Chen, Min Cai, Yan Song, Jiyang Pan, Jicheng Dong, Runde Pan, Wei Zhang, Zhenming Shen, Zhengrong Liu, Danhua Gu, Xiaoping Wang, Xiaojuan Liu, Qiwen Zhang, Yihan Li, Yiping Chen, Kenneth S Kendler, Jonathan Flint, Zhen Zhang

“…<h4>Conclusions</h4>There are increased rates of stressful life events in MDD with dysthymia, but the impact of life events on susceptibility to dysthymia with MDD differs from that seen for MDD alone. …”
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Toxicokinetics, tissue distribution, and toxic potency of PFOS alternative OBS in adult zebrafish (Danio rerio) based on flow-through exposure system by Yilong Zou, Yu Zhou, Xianglian Wang, Guiqing Gao, Gang Chen, Zhanmeng Liu, Mi Deng, Xueping Huang, Yongming Wu

“…Our findings indicate that OBS accumulated rapidly in zebrafish, with log kinetic bioconcentration factor (logBCFk) values ranging from 2.48 to 2.70 and slow elimination rates (ke = 0.0490–0.0643 d−1). The blood, liver, and muscle were responsible for over 50 % of the total body burden of OBS, with tissue concentrations decreasing in the following order: blood > liver > intestine > gills > gonad > brain > muscle, suggesting a tissue-specific accumulation pattern. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Modified ResNet-18 convolutional neural networks (CNNs) performed three classification tasks; (1) schizophrenia-spectrum vs healthy controls, within 179 clinically-rated patients, (2) individuals with more severe vs less severe negative symptom burden, and (3) clinically obvious vs subtle blunted affect. …”
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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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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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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Outpatient Testing for HIV in Italy, 2018–2023—Preliminary Data by Claudio Galli, Vincenza Regine, Anna Caraglia, Francesca Centrone, Maria Chironna, Gianluca Cruschelli, Massimo Farinella, Valentina Annachiara Orlando, Chiara Pasqualini, Monia Puglia, Lucia Pugliese, Laura Rancilio, Lara Tavoschi, Fabio Voller, Barbara Suligoi

“…We started a research project aimed at assessing testing rates for HIV infection among Italian outpatients in 2018–2023. …”
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Eruptive modes and hiatus of volcanism at West Mata seamount, NE Lau basin: 1996–2012 by Robert W. Embley, Susan G. Merle, Edward T. Baker, Kenna H. Rubin, John E. Lupton, Joseph A. Resing, Robert P. Dziak, Marvin D. Lilley, William W. Chadwick Jr., T. Shank, Ron Greene, Sharon L. Walker, Joseph Haxel, Eric Olson, Tamara Baumberger

“…Based on the historical eruption rates calculated using the bathymetric differencing technique, the volcano could be as young as several thousand years.…”
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Multi-Objective Optimization of Off-Grid E-Bikes Charging Stations Powered by PhotoVoltaics by Fabio Corti, Gabriele Maria Lozito, Davide Astolfi, Salvatore Dello Iacono, Antony Vasile, Marco Pasetti, Alberto Reatti, Alessandra Flammini

“…A Genetic Algorithm is employed to determine the most appropriate rated power of the installed PhotoVoltaic (PV) systems and of the energy storage, by incorporating statistical methods to estimate the daily number of e-bikes requiring charging, hence making the optimization process more reflective of actual usage patterns. …”
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An integrated high-resolution bathymetric model for the Danube Delta system by L. Alaerts, L. Alaerts, J. Lambrechts, N. R. Randresihaja, N. R. Randresihaja, L. Vandenbulcke, O. Gourgue, E. Hanert, E. Hanert, M. Grégoire

“…These error rates are comparable to those observed in bathymetry interpolation in rivers with similar source datasets. …”
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Biomechanical evaluation of novel construct for stabilizing subcapital femoral neck fractures: a synthetic bone model by Anjan R. Shah, Miguel A. Diaz, Douglas L. Cerynik, Blake Schultz

“…Abstract Background High complication rates continue to be reported for femoral neck fractures, where moderate to severe shortening has been associated with pain and inferior functional outcomes. …”
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Preoperative Bowel Preparation in Minimally Invasive and Vaginal Gynecologic Surgery by Michail Diakosavvas, Nikolaos Thomakos, Alexandros Psarris, Zacharias Fasoulakis, Marianna Theodora, Dimitrios Haidopoulos, Alexandros Rodolakis

“…Taking into consideration the fact that in most gynecologic cases there is minimal probability of bowel intraluminal entry and, thus, low surgical site infection rates, most scientific societies have issued guidelines against the use of any bowel preparation regimen before laparoscopic or vaginal surgery. …”
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Copper and Temperature Interactions Induce Differential Physiological and Metal Exclusion Responses in the Model Brown Macroalga <i>Ectocarpus</i> by Alex Santillán-Sarmiento, Paula S. M. Celis-Plá, A. John Moody, Claudio A. Saez, Murray T. Brown

“…In this study, we exposed the model brown seaweed <i>Ectocarpus</i> to different Cu concentrations (0, 0.8, 1.6, and 3.2 μM) at two different temperatures (15 and 25 °C). Relative growth rates decreased at 25 °C for the two highest Cu concentrations after 8 days of exposure, but a contrasting pattern was observed in the photosynthetic maximum quantum yield (<i>F_v</i>/<i>F_m</i>) and photosynthetic efficiency (<i>α</i>), where reductions were observed at 15 °C for the same Cu concentrations. …”
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