Prevalence and association between eating disorders, depression, and obesity among Palestinian adolescent refugees by Basma Damiri, Ahmad Hanani

“…The interviews included the Birleson Depression Self-Rating Scale and the Eating Attitudes Test-26 (EAT-26), a screening tool used to detect individuals at risk for disordered eating behaviors but who are not diagnosed with specific eating disorders. …”
Get full text

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. …”
Get full text

Functional Identification Reveals That TaTGA16-2D Promotes Drought and Heat Tolerance by Jingna Ru, Jiamin Hao, Xiaoqian Ji, Bingqing Hao, Jiale Yang, Hongtao Wang, Baoquan Quan, Pengyan Guo, Jiping Zhao, Chao Wang, Huawei Shi, Zhaoshi Xu

“…Under heat stress, the survival rates of transgenic lines exceeded 34%, compared to less than 18% in wild-type plants. …”
Get full text

Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
Get full text

Multiscale Water Cycle Mechanisms and Return Flow Utilization in Paddy Fields of Plain Irrigation Districts by Jie Zhang, Yujiang Xiong, Peihua Jiang, Niannian Yuan, Fengli Liu

“…We propose an integrated optimization strategy combining tillering-stage irrigation/drainage control, multiscale hydraulic interception (control gates and pond weirs), and dynamic watershed storage scheduling. …”
Get full text

Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
Get full text

Assessing patient-reported outcomes (PROs) in paediatric oncology research: Which PRO would a pro pick, if a pro was picking PROs? by Ameeta Retzer, Sarah Al-Jilaihawi, Shivani Bailey, Vickie Buenger, Sarah Damery, Anne-Sophie Darlington, Manuel Diezi, John Devin Peipert, Jessica Roydhouse, Bryce B. Reeve

“…The choice of PRO depends on the intended application and associated research questions, and structuring a rationale for the use of PRO data is key to deciding upon a PRO strategy. Rates of PRO use in paediatric oncology research remain low though the general use of PROs in clinical trials has been gradually increasing. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

Stem introducer designs and surgical technique play a significant role in achieving the optimal implant-cement interface by Bernard H. van Duren, Kevin Ilo, Sophie Walker, Mark Higgins, Benjamin V. Bloch, Andrew R. Manktelow, Hemant G. Pandit

“…A significant variation exists between PTS stem designs, associated fractured rates among them, and the design of introducers used. …”
Get full text

Impact of oral hygiene on the development of oropharyngeal neoplasms by D. G. Kiparisova, Yu. S. Kiparisov, N. S. Nurieva

“…The patient hygiene performance (PHP) index (Podshadley, Haley, 1968) was used to estimate his/her baseline ability. The rates of initial visits made by patients with oropharyngeal tumors to physicians of different specialties were also analyzed.Results. …”
Get full text

Meningitis caused by Aspergillus fumigatus: a case report by Yifei Zhang, Yu Ma, Rushuang Yue, Yuan Meng, Yue Jin, Chengwei Yin, Qianmei Zhou, Rong Shi

“…Conclusion A. fumigatus meningitis represents a rare but life-threatening infection characterized by diagnostic challenges and alarmingly high mortality rates. Stringent diagnostic vigilance is essential to avoid diagnostic errors in these cases. …”
Get full text

Residual Behavior and Dietary Risk Assessment of Fluopicolide, Its Metabolite and Propamocard on Three Leafy Vegetables by LI Xinxin, HUANG Lanqi, CHEN Xiu, WEN Guangyue, ZHANG Songhan, ZHAO Li

“…Results: The average recovery rates of fluopicolide, 2,6-dichlorobenzamide and propamocard were 82%–109%, 74%–103% and 76%–115%, with relative standard deviation (RSD) of 2%–13%, 1%–13% and 2%–8% in the three leafy vegetables at three spiked levels (0.01, 0.5, 30 and 70 mg/kg), respectively, and the limit of quantification was 0.01 mg/kg for all three compounds. …”
Get full text

The 2024 resurgence of Bordetella pertussis in Brazil and a decade-long epidemiological overview by Nathália Mariana Santos Sansone, Nathália Mariana Santos Sansone, Nathália Mariana Santos Sansone, Matheus Negri Boschiero, Matheus Negri Boschiero, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson

“…Geographically, the South region recorded the highest number of cases (N = 3,579), followed by the Southeast (N = 3,134). Incidence rates mirrored this pattern, with the South reporting 11.5 cases per 100,000 inhabitants and the Southeast, 3.54 per 100,000 inhabitants. …”
Get full text