Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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Differential inhibitory effects of endocannabinoids on neuronal firing of mouse meningeal afferents by Georgii Krivoshein, Adriana Della Pietra, Juha Savinainen, Arn M. J. M. van den Maagdenberg, Rashid Giniatullin

“…Cluster analysis revealed that the transient activation by AEA involved fibers with small-amplitude spikes fired at rates of 1–2 Hz, whereas the persistently suppressed fibers consisted of high-amplitude spikes fired at rates exceeding 10 Hz. …”
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TRNSYS-Based Performance Study of Solar-Assisted Single-Effect Absorption Cooling in Peshawar, Pakistan by Abid Hussain, Asnaf Aziz, Afzal Khan, Nadeem Ur Rehman, Hamza Pervez, Altaf Husain

“…Under variable load conditions, the auxiliary heater responded through frequent pulsed flow patterns, achieving peak flow rates up to 49,000 kg/hr without compromising outlet temperature. …”
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High prevalence of penicillin-resistant group B Streptococcus among pregnant women in Northwest Ethiopia by Getaneh Alemayehu, Alene Geteneh, Mesfin Dessale, Efrem Ayalew, Geberselasie Demeke, Alemayehu Reta, Mulugeta Kiros

“…In Ethiopia, reported GBS colonization rates among pregnant women range from 7.2 to 25.5%. …”
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Male Date Palm Chlorotype Selection Based on Fertility, Metaxenia, and Transcription Aspects by Hammadi Hamza, Mohamed Ali Benabderrahim, Achwak Boualleg, Federico Sebastiani, Faouzi Haouala, Mokhtar Rejili

“…Pollen viability varied significantly among cultivars, with P8 and B25 exhibiting the highest germination rates and pollen tube elongation, while C22 showed the lowest. …”
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Malaria morbidity, mortality and associated costs in Indonesia: analysis of the National Health Insurance claim dataset by Angela Devine, Ric Price, Ery Setiawan, Kamala Thriemer, Helen Dewi Prameswary, J Kevin Baird

“…Patients’ sociodemographic status, repeated presentations to healthcare facilities, referral patterns and costs of treatment for the hospital settings were assessed by malaria species. …”
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A nationwide population-based cross-sectional time series study of hospitalized chronic liver disease burden in Thailand from 2017 to 2022 by Rungfah Saehan, Apichat Kaewdech, Pimsiri Sripongpun, Naichaya Chamroonkul, Teerha Piratvisuth, Suthat Liangpunsakul, Ponlagrit Kumwichar

“…Age- and sex-standardized incidence and mortality rates were assessed through descriptive and trend analyses, with LOESS smoothing applied to identify temporal patterns. …”
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Normotensive trauma patients with renal injuries: Hidden candidates for massive transfusion by Xin‐Hong Lin, Pi‐Chieh Lin, Ching‐Hua Tsai, Wei‐Ti Su, Shiun‐Yuan Hsu, Ching‐Hua Hsieh

“…Among MT patients, those with initial SBP ≥ 90 mmHg (n = 170) showed significantly higher rates of renal injuries (8.8% vs. 1.4%, p = 0.035) compared to those with SBP < 90 mmHg (n = 71). …”
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Emerging Threat of Multidrug-resistant Bacteria – An Experience from a Neonatal Intensive Care Unit of a Tertiary Care Hospital by Mohammad Sayim Wani, Sehar Tariq, Gulnaz Bashir, Munaza Aman, Anjum Ara Mir, Irfan Nisar Ahangar

“…Multidrug-resistant (MDR) microorganisms that cause septicemia are responsible for high morbidity and mortality rates among patients in extreme age groups and pose serious treatment challenges despite multipronged measures. …”
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Burden and inequalities of chronic kidney disease attributable to diet globally, regionally and temporally, 1990–2021 by Nana Wei, Miao Yang, Pingping Zheng, Jian Xu

“…However, significant regional variations were observed in these rates, with Central Sub-Saharan Africa experiencing the highest and Eastern Europe the lowest. …”
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The administration sequences of immune checkpoint inhibitors and chemotherapy cause discrete efficacy when treating non-small cell lung cancer: a retrospective study by Bicheng Zhang, Yuxiao Song, Qian Min, Weiting Cheng, Jun Wang, Yang Fu, Jiaxin Yin

“…Additionally, the objective response rates (ORRs) for the three groups were 55.82% (72/129), 58.21% (39/67), and 68.92% (51/74), respectively. …”
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Еpidemiological aspects of ixodid tick-borne borrelioses in Kemerovo region by О. M. Drozdova, A. R. Efimova, Т. Е. Bondarenko, М. A. Shmakova

“…To study the epidemiological patterns of Lyme disease in the Kemerovo Region. Materials and Methods. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Designing for Engagement in Primary Health Education Through Digital Game-Based Learning: Cross-National Behavioral Evidence from the iLearn4Health Platform by Evgenia Gkintoni, Emmanuella Magriplis, Fedra Vantaraki, Charitini-Maria Skoulidi, Panagiotis Anastassopoulos, Alexandra Cornea, Begoña Inchaurraga, Jaione Santurtun, Ainhoa de la Cruz Mancha, George Giorgakis, Kleri Kouppas, Stella Timotheou, Maria Jose Moreno Juan, Miren Muñagorri, Marta Harasiuk, Alfredo Garmendia Lopez, Efi Skoulidi, Apostolos Vantarakis

“…The study employed multiple statistical approaches—descriptive analysis, correlation analysis, ANOVA, regression modeling, and cluster analysis—to identify design engagement patterns and their predictors, tracking completion rates, progress trajectories, and interaction time as indicators of design effectiveness. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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