Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…The GCF-CRKs exhibit similar signs and patterns and enhanced stability compared to existing kernels. …”
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
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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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The modeling of the interaction of pulsed 5G/6G signals and the fine structure of human skin by Noa Betzalel, Yuri Feldman, Paul Ben Ishai

“…Abstract Current regulations concerning the allowed levels of human exposure to electromagnetic radiation emanating from wireless technologies are governed by the Specific Absorption Rate standard (SAR). This allows the absorption by tissue of up to 2 W/kg averaged for 6 minutes in a 10 g cube of homogenized tissue. …”
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Efficacy of switching from originator adalimumab to biosimilar adalimumab-AACF in patients with axial spondyloarthritis: a 12-month observational study by Fanny Alcira Reyes Neira, Barbara Bayeh, Karina Rossi Bonfiglioli, Nadia Emi Aikawa, Ana Paula Luppino Assad, Renata Miossi, Fernando Henrique Carlos de Souza, Carlos Emilio Insfrán, Henrique Ayres Mayrink Giardini, Emily Figueiredo Vieira Neves Yuki, Eloisa Bonfa, Carla Gonçalves Schahin Saad, Ana Cristina de Medeiros-Ribeiro, Julio Cesar Bertacini de Moraes, Andrea Yukie Shimabuco

“…Ankylosing Spondylitis Disease Activity Score (ASDAS)-CRP remained stable when comparing T0 to T6 [1.56 (± 0.88) vs. 1.50 (± 0.82), P = 0.73] and T12 [1.56 (± 0.88) vs. 1.26 (± 0.86), P = 0.13]. A similar pattern was observed for ASDAS-erythrocyte sedimentation rate (ESR; P > 0.05) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI; P > 0.05). …”
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Nosological aspects of hepatomegaly and splenomegaly at pediatric age by M. M. Kotovich, F. K. Manerov, E. V. Luchsheva

“…Frequency of hepatomegaly and/or splenomegaly of unspecified etiology was analyzed with correlation to outpatient clinic admission rate and results of routine inspections. Results. …”
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Substrate Temperature Effect on Structural Properties Of Bi2Te3 Thin Films by B.S. Jariwala, D.V. Shah, Vipul Kheraj

“…All deposition conditions like thickness, deposition rate and pressure were maintained throughout the experiment. …”
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Robust Projections of Changing Precipitation Evenness in a Warming Climate by Hsin Hsu, Stephan Fueglistaler

“…Changes in temporal evenness of local‐daily precipitation show a complex geographic pattern. However, particularly over land, we show that a simple theoretical scaling explains this complexity to result from increased precipitation intensity scaling at about the Clausius‐Clapeyron rate, and a local balance between changes in annual‐mean precipitation and dry‐day fraction. …”
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Lattice Boltzmann simulation for phase separation with chemical reaction controlled by ultrasound field. by Heping Wang, Ying Lu

“…In this work, the phase separation behavior and pattern formation in binary fluids with chemical reactions controlled by ultrasonic radiation were systematically investigated. …”
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The Effect of Using Simulation Activities on Developing Algerian EFL Students’ Speaking and Listening Proficiency by Karima CHERGUI

“…Crystallising Comprehension, retaining long-term outcomes, and raising the rate of interest have put extra up-to-date demands on EFL teachers. …”
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Intersection passing strategies for human-driven and autonomous vehicles in mixed traffic using DEA. by Jiajun Shen, Zhipeng Zhou, Guanyu Fu, Yu Wang

“…Considering average speed, number of cars, penetration of automated vehicles, queuing pattern, left-turn rate, and number of buses as factors influencing intersection rights-of-way. …”
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COVID-19 and excess mortality: Was it possible to lower the number of deaths in Slovenia? by Damir Josipovič

“…Thus, the main reason for the decreasing number of COVID-19 deaths is to be sought within the exhausted demographic pool of the elderly population in 2020, when the mortality rate was 19% higher compared to the previous five-year period (2015–2019). …”
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Opportunities for robotic-assisted surgery in treatment of uterine cancer. Current view on the problem by E. V. Slukhanchuk, A. G. Tyan

“…Minimally invasive technologies can reduce the volume of blood loss, shorten hospital stay, lower rate of postoperative complications and shorten rehabilitation period. …”
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A Tunnel Surface Diseases Detection Algorithm Based on YOLOv4 by LI Jia, QIU Xinhua, JI Yuwen

“…In the established surface image data set of high speed railway tunnel, the mAP reaches 65.1%, and the defect detection rate is 90.1%, which verifies the high efficiency of the algorithm.…”
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