Characteristics of Anemia in Children Aged 6 Months to 5 Years Attending External Consultations at a Pediatric Hospital in Lisbon, Portugal by Réka Maulide Cane, Sérgio Chicumbe, Youssouf Keita, Anaxore Casimiro, Bárbara Martins Saraiva, Joana Vasconcelos, Beatriz Luzio Vaz, Afonso Sousa, Mafalda Cabral, Francisco Branco Caetano, Luís Varandas, Isabel Craveiro

“…Five children (6.8%) had normal hemoglobin but abnormal red-cell indices, with microcytic (60.0%; 3/5) or normocytic (40.0%; 2/5) patterns. Anemia rates were higher in males (55.1%), children aged 24–59 months, those residing in the Metropolitan Lisbon Area (82.6%), children whose caregivers had only basic or secondary education (58.0%), and those whose mothers were born in foreign countries (48.4%). …”
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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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Global, regional, and national burden and trends of HIV/AIDS among women of childbearing age from 1990 to 2021: results from Global Burden of Disease 2021 by Mingjie Tang, Mingjie Tang, Jun Shao, Yanjie Jiang, Yanjie Jiang, Yinghong Li, Shiwei Li, Yilin Song, Wenxuan Wu, Jiqin Tang, Zhaoming Chen

“…The analysis employed a multidimensional stratification approach, examining temporal patterns, age distributions, geographic variations, and Socio-demographic Index (SDI). …”
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Giant Unicystic Ameloblastoma in a Teenager of Azande Tribe: A Clinical Case Report by Posite Charles M, Faustin TM, Woldemichael MA, Vargas Escalante E, Mohamud Snr MA, Laetitia FM, Moses A, Santos MB, Samuel T, Ali ZI, Olive MM, Maha AB, Baanitse J, Said M, Wabinga H, Rosales YD

“…Incidence varies globally, with lower rates in non-African populations (around 0.5 per million annually) compared to higher prevalence in Nigeria and South Africa, where Black populations show increased susceptibility. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…The app received positive ratings, with a System Usability Scale score of 77.4 and a Customer Satisfaction Score of 86.6%. …”
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Work related musculoskeletal stress among residents of internal medicine on cardiological wards in their daily working practice – a kinematic and ergonomic analysis by Fabian Holzgreve, Corinna Rittinghausen, Ingo Hermanns, Britta Weber, Rolf Ellegast, Julia Bille, Doerthe Brueggmann, Stefanie Mache, David A. Groneberg, Daniela Ohlendorf

“…By synchronizing the data obtained from both measurements, postural patterns were chronologically aligned and contextualized with the corresponding task performance. …”
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Influential drivers of the cost-effectiveness of respiratory syncytial virus vaccination in European older adults: a multi-country analysis by Xiao Li, Lander Willem, Caroline Klint Johannesen, Arantxa Urchueguía-Fornes, Toni Lehtonen, Richard Osei-Yeboah, Heini Salo, Alejandro Orrico-Sánchez, Javier Díez-Domingo, Mark Jit, for PROMISE investigators, Joke Bilcke, Harish Nair, Philippe Beutels

“…Both costs and quality-adjusted life-years (QALYs) were discounted at country-specific discount rates and the analysis was conducted from both the healthcare payers’ and societal perspectives. …”
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Ecological Concrete-Based Modular System for Heavy Metal Removal in Riparian Transition Zones: Design, Optimization and Performance Evaluation by Guangbing Liu, Da Ke, Hasnain Moavia, Chen Ling, Yanhong Zhang, Yu Shen

“…The initial rapid surface adsorption phase (0–4 h) achieved removal rates of 0.28–0.42 mg g⁻¹ h⁻¹, followed by pore diffusion (4–24 h) and chemical fixation phases, with removal patterns effectively modeled using a modified pseudo-second-order equation. …”
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Long-term real-world outcomes of first-line immunotherapy in non-small cell lung cancer – a population-based cohort study in Sweden by Gunnar Wagenius, Anders Vikström, Anders Berglund, Stina Salomonsson, Goran Bencina, Xiaohan Hu, Diana Chirovsky, Hans Brunnström

“…Background: In a previous study, we explored real-world programmed death-ligand 1 (PD-L1) testing and treatment patterns for patients with advanced non-small cell lung cancer (NSCLC) in the era of immune-oncology. …”
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Opportunities for immunocorrection aiming for reduction of morbidity in the areas with adverse occupational and environmental conditions by S. V. Petlenko, E. G. Golovacheva, O. I. Afanasieva

“…Origin and severity of immune system disorders depends on the spectrum and duration of exposure to adverse factors and patterns of professional activity at the chemically hazardous facilities. …”
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Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model by Jing Zhao, Bei Li, Jianwei Sun, Xu Zeng, Jing Zheng

“…Employing a five-point Likert scale, the survey investigated the usage patterns of Internet diagnosis and treatment services among chronic disease patients in Shenzhen, China, as well as the factors influencing their behavioral intention. …”
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Organisation of physical education in universities for students with disabilities: Modular approach by L. V. Zakharova, O. N. Moskovchenko, U. Solimene, N. V. Tretyakova, N. V. Bannikova, N. V. Lyulina, O. A. Kattsin

“…The evaluation of the validity of differences in the average values of the studied indicators was performed according to Student’s t-test at a significance level of 5%. The growth rates of indicators were calculated according to Brody’s formula.Results and scientific novelty. …”
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Fungi present distinguishable isotopic signals in their lipids when grown on glycolytic versus tricarboxylic acid cycle intermediates by S. Jabinski, S. Jabinski, V. Kučera, V. Kučera, M. Kopáček, M. Kopáček, J. Jansa, T. B. Meador, T. B. Meador, T. B. Meador

“…<p>Microbial activity in soils controls both the size and turnover rates of large carbon (<span class="inline-formula">C</span>) inventories stored in the subsurface, having important consequences for partitioning of <span class="inline-formula">C</span> between terrestrial and atmospheric reservoirs as well as recycling of mineral nutrients such as nitrogen or phosphorus (often bound to the <span class="inline-formula">C</span>) that support plant growth. …”
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