Muscle Activity Onset Prior to Landing in Patients after Anterior Cruciate Ligament Injury: A Systematic Review and Meta-Analysis. by Daniel Theisen, Isabel Rada, Amélie Brau, Paul Gette, Romain Seil

“…Six studies meeting inclusion criteria underwent quality assessment, data extraction and re-computing procedures for the meta-analysis. The quality was rated "moderate" for 2 studies and "poor" for 4. …”
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Reading English-Language Haiku: Processes of Meaning Construction Revealed by Eye Movements by Hermann J Mueller, Thomas Geyer, Franziska Günther, Jim Kacian, Stella Pierides

“…To examine this process, we recorded readers’ eye movements, and we obtained measures of memory for the read poems as well as subjective ratings of comprehension difficulty and understanding achieved. …”
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Image Quality Assessment of Augmented Reality Glasses as Medical Display Devices (HoloLens 2) by Simon König, Simon Siebers, Claus Backhaus

“…HoloLens 2 was assessed for overall image quality, luminance, grayscale consistency, and color uniformity. Five participants rated the TG18-OIQ pattern under ambient lighting conditions of 2.4 and 138.7 lx. …”
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I-AIR: intention-aware travel itinerary recommendation via multi-signal fusion and spatiotemporal constraints by Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu

“…Additionally, many approaches decouple POI selection from itinerary construction and depend heavily on limited behavioral signals, failing to capture richer feedback such as ratings, dwell times, or click histories. To address these limitations, we propose an intention-aware deep learning framework that integrates diverse user signals into a unified itinerary planning model. …”
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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. …”
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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. …”
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Lipid-lowering statins and polyphenol-based supplementation: a scoping review on drug-food interaction potential by Rita Costa, Rita Costa, Rita Costa, Rita Costa, Rita Costa, Carolina Ferreira, Carolina Ferreira, Carolina Ferreira, André Alves, André Alves, André Alves, Sara Nunes, Sara Nunes, Sara Nunes, Sara Nunes, Sara Nunes, Flávio Reis, Flávio Reis, Flávio Reis, João Malva, João Malva, João Malva, Sofia Viana, Sofia Viana, Sofia Viana, Sofia Viana, Sofia Viana

“…BackgroundLifestyle modifications, particularly the adoption of healthy dietary patterns such as the Mediterranean Diet (MedDiet), are foundational in any treatment plan, including for patients prescribed first-line statin therapy for hypercholesterolemia. …”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals’ pupil diameter successfully tracked (cluster-based permutation p <0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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Optimization of off-centered lens parameters in high-power stimulated Brillouin-scattering phase-conjugation mirror by Hongli Wang, Hongli Wang, Chaoshuai Liu, Tianrun Jiang, Kaiyang Li

“…This study can provide valuable experimental references for the application of SBS-PCMs in high power and high-repetition rate laser systems.…”
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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…Among them, the sensitivity of pattern recognition based on image processing can reach 68.9%, and the detection rate of football injuries can also be maintained at about 81.2%. …”
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Characteristics of water and soil loss occurrence under contour hedges condition in red soil slope fields by LI Xin-ping, CHEN Xin, WANG Zhao-qian, MA Kun, ZHANG Ru-liang

“…Soil physical characteristics and soil infiltration were significantly improved by hedge roots and higher water infiltration capacity and infiltration rate were maintained in different hedgerows. Regression models were also established to simulate the relationships between runoff, soil loss and infiltration capacity.…”
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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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Unveiling gender imbalances among PhD students: early inequalities in productivity and impact influenced by supervisor-student gender combinations by Maria Antfolk

“…Even though women earn the same rate of PhD degrees, the gender imbalance becomes increasingly prominent at higher academic levels. …”
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TIME SERIES MODELING OF NATURAL GAS FUTURE PRICE WITH FUZZY TIME SERIES CHEN, LEE AND TSAUR by Dodi Devianto, Aulia Zuardin, Maiyastri Maiyastri

“…The three FTS methods have good performance of accuracy for this time series data, where FTS Tsaur as fuzzy times series approach with average based method shows the best results with the smallest error rate to the data of natural gas future price.…”
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