Understanding the changes in multi-structure, physicochemical properties, and in vitro digestibility of quinoa starch by annealing with hydrogen-infused and plasma-activated water... by Hang Liu, Ge Tian, Shanshan Gao, Shuang Liu

“…The total hydrolysis rate and rapidly digestive starch content decreased in QS after ANN treatment, and resistant starch level markedly increased. …”
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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

“…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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Investigating thermal effects on void formation in electromigration using thermoreflectance imaging by Kengo ARAKI, Kanji TAMAI, Reiko KURIYAMA, Kazuya TATSUMI

“…Furthermore, the void growth rate and the line temperature near the voids followed an exponential relation in the void growth period. …”
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Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment by Seoungsoon Yeo, Misook Kim

“…The effects of temperature on bacterial growth rate and lag time were evaluated using the square root model. …”
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Mouthwash Use in General Population: Results from Adult Dental Health Survey in Grampian, Scotland by Kirstin Rhodes, Rochelle Morgan, Iain Bovaird, Claudia Cunningham, Michal M. Kawecki, Tatiana V. Macfarlane, Ray Watkins

“…Objectives: The purpose of this study was to determine the pattern of mouthwash use and to investigate the associated factors in general population.Material and Methods: An Adult Dental Health Survey was conducted on 3,022 residents of Grampian region of Scotland (adjusted participation rate 58.2%). …”
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Experience with Early Enteral Feeding in a Patient with Venoarterial Extracorporeal Membrane Oxygenation by V. V. Lomivorotov, S. M Yefremov, A. V. Bogachev, I. A. Kornilov

“…In addition, an inverse correlation was found between the serum concentration of lactate and the daily volume of diuresis. The rate of hourly diuresis had a direct correlation with respiratory index and an inverse correlation with oxygenation index. …”
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The 2015 guidelines for the laboratory diagnosis of rheumatic diseases by the All-Russian Public Organization «Association of Rheumatology of Russia» by E. N. Aleksandrova, A. A. Novikov, E. L. Nasonov

“…The important laboratory markers of RDs are acutephase indicators (erythrocyte sedimentation rate, C-reactive protein, etc.) that can assess the inflammatory activity of the disease, its progression pattern, and prognosis during the chronic inflammatory process, as well as therapeutic efficiency. …”
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An analysis of spatial distribution characteristics and driving factors of traditional villages in the Loess Plateau. by Xiaobin Bao, Yingna Yang, Jianqing Qi, Yanbing He

“…Among them, the density of cultural heritage sites (q = 0.546) is the primary driving factor, followed by annual precipitation (q = 0.458), population size (q = 0.457), and urbanization rate (q = 0.354). The interaction between factors is significant and mostly shows non-linear enhancement, for instance, the interactive explanatory power of population size and the density of cultural heritage sites is as high as 0.852.…”
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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

“…This improvement can enhance the capability of logistic regression in dealing with spall detection as a complex pattern classification problem. Experiments with 1240 collected image samples show that PL-SGDLR can help to deliver a good detection accuracy (classification accuracy rate = 90.24%). …”
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Response surface optimization reveals monthly total flavonoid peaks in Ginkgo biloba leaves with corresponding DPPH scavenging activity by Xiaoyu Shen, Yangjie Lu, Qi Zhu, Yangbo Zhang, Li Zeng

“…Following RS optimization, the optimal extraction conditions for GB flavonoids were identified as follows: extraction rate of 1.175% at 61 °C for 30 min using 77% ethanol. …”
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Wernicke encephalopathy in combination with acute polyneuropathy under the guise of a demyelinating disease in a teenager with an eating disorder by E. O. Ovchinnikova, A. S. Kotov, M. V. Panteleeva, E. V. Mukhina

“…The condition is associated with a high mortality and morbidity rate. Wernicke encephalopathy is most commonly seen in adolescent children presenting with a vitamin B1 deficiency. …”
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Possibilities for the early detection of hypertensive disease in pregnant women by Ye. B. Savinova, L. A. Sokolova, S. V. Serdyukov, Ye. L. Nezhentseva

“…There was a considerable spread of risk factors for AH in this patient group. 26 % of them were found to have lesions of target organs (heart and/or arterial vessels); the rate of microalbuminuria registration was 41 %.Conclusion. …”
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Dynamic Micro-Vibration Monitoring Based on Fractional Optical Vortex by Fucheng Zou, Dechun Liu, Le Wang, Shengmei Zhao, Jialong Zhu

“…We systematically investigate the effects of TC, CCD frame rate, and interference contrast on measurement performance. …”
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