Comprehensive analysis of Enterococcus spp. from two European healthy infant cohorts shows stable genomic traits including antimicrobial resistance (AMR) by Muhammad Hassan Saeed, Magdalena Kujawska, Kristiana Ellen, Antia Acuna-Gonzalez, Manuel Bernabeu Lorenzo, Maria Carmen Collado, Monique Mommers, Niels van Best, Lindsay J. Hall, Klaus Neuhaus

“…We also selected ten E. faecalis isolates with varying virulence gene repertoires for phenotypic virulence testing in Caenorhabditis elegans and found them killing at various rates, however no clear pattern emerged in correlation with any specific genetic determinant. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Discrimination of mercury, cadmium and lead polluted rice leaves based on near infrared spectroscopy technology by ZHANG Long, PAN Jiarong, ZHU Cheng

“…And the correct classification rates of rice in mercury, cadmium and lead polluted soil and control soil were 95.5%, 81.8%, 91.3% and 100.0% respectively.Our results indicated that it should be feasible to develop useful calibration models for the prediction of heavy metal in rice leaves. …”
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Preparation and Evaluation of Alpha-2-Macroglobulin Hydrogel for Drug Release Kinetics and Biocompatibility on Human Gingival Fibroblasts: An In-vitro Study by Poulami Chakraborty, ND Jayakumar, S Raghunandhakumar

“…Cytotoxicity tests revealed that the hydrogel was non toxic at concentrations up to 400 micrograms/mL, with cell viability rates exceeding 85%. Additionally, the hydrogel supported cell adhesion and proliferation, suggesting its suitability for periodontal regeneration. …”
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Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

“…Frequency Ratio (FR) analysis revealed varying levels of landslide susceptibility across scenarios, with RCP2.6 showing lower probabilities for moderate landslides (FR: 0.007946) compared to higher ratings for RCP4.5, RCP6.0, and RCP8.5 (FR: 1.663156 for high landslides). …”
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Sleep Restriction and Weekend Sleep Compensation Relate to Eating Behavior in School-Aged Children by Chamorro R, Garrido-González M, Gutierrez M, Santos JL, Weisstaub G

“…Actigraphic recordings measured sleep patterns for 4 consecutive days, including a weekend day. …”
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Pedagogical university students’ ethical attitudes and competences regarding artificial intelligence: An empirical study by Alicja Baum, Maria Trzcińska-Król

“…Students expressed more positive attitudes towards the benefits of AI (M = 3.22) than levels of understanding of its disadvantages (M = 2.72). Respondents rated their competences (M = 2.65) and knowledge (M = 2.85) regarding AI as below average. …”
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Neural signatures underlying the effect of social structure on empathy and altruistic behaviors by Xia Tian, Zixin Zheng, Renhui Li, Yue-Jia Luo, Chunliang Feng

“…Afterwards, participants rated the pain experienced by these innocents and shared money with other innocents. …”
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Development of a Quadruplex RT-qPCR Assay for Rapid Detection and Differentiation of PRRSV-2 and Its Predominant Genetic Sublineages in China by Guishan Ye, Siyu Xiong, Zhipeng Su, Guosheng Chen, Siyuan Liu, Zixuan Wang, Huanchun Chen, Anding Zhang

“…Field application using 938 samples from Guangxi A and B farms revealed NADC30-like PRRSV wild-type strains at positivity rates of 13.44% and 3.53%, respectively. Positive samples selected for sequencing were further confirmed using ORF5-based phylogenetic analysis and NSP2 deletion pattern comparison, which aligned with RT-qPCR detection results. …”
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Time Course of Changes in the Level of Procalcitonin in the Development of Nosocomial Pneumonia in Victims with Severe Concomitant Injury in an Intensive Care Unit by A. K. Shabanov, M. Sh. Khubutia, G. V. Bulava, N. V., Beloborodova, A. N. Kuzovlev, O. A. Grebenchikov, D. A. Kosolapov, M. I. Shpitonkov

“…The posttraumatic period in victims with severe concomitant injury is frequently complicated by nosocomial pneumonia, resulting in high mortality rates and longer time and increased cost of treatment in intensive care unit unit patients. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Additionally, according to the evolution characteristics of SGLs at different elevations, SGLs above 800 m exhibit a similar evolution pattern. A temporal discrepancy in maximum values for both mean area and mean depth implies differential rates of SGL development in the horizontal and vertical dimensions. …”
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Does Seasonality Affect Peptic Ulcer Perforation? A Single-Center Retrospective Study by Iva Krajnović, Zenon Pogorelić, Iva Perić, Marija Ćavar, Matija Borić

“…Previous studies have suggested a seasonal pattern in the occurrence of symptomatic perforated peptic ulcers. …”
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Ultrahigh-throughput single-pixel complex-field microscopy with frequency-comb acousto-optic coherent encoding (FACE) by Daixuan Wu, Yuecheng Shen, Zhongzheng Zhu, Tijian Li, Jiawei Luo, Zhengyang Wang, Jiaming Liang, Zhiling Zhang, Yunhua Yao, Dalong Qi, Lianzhong Deng, Zhenrong Sun, Meng Liu, Zhi-Chao Luo, Shian Zhang

“…However, limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging. …”
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Development technologies and models of different types of gas reservoirs in Ordos Basin, NW China by Ailin JIA, Dewei MENG, Guoting WANG, Guang JI, Zhi GUO, Naichao FENG, Ruohan LIU, Suqi HUANG, Shuai ZHENG, Tong XU

“…Four key directions of future research and technological breakthroughs are proposed: (1) Utilizing dual-porosity (fracture-matrix) modeling techniques in low-permeability carbonate reservoirs to delineate the volume and distribution of remaining gas in secondary pay zones, supporting well pattern optimization and production enhancement of existing wells. (2) Integrating well-log and seismic data to characterize reservoir spatial distribution of successive strata, enhancing drilling success rates in low-permeability sandstone reservoirs. (3) Utilizing the advantages of horizontal wells to penetrate effective reservoirs laterally, achieving meter-scale quantification of small-scale single sand bodies in tight gas reservoirs, and applying high-resolution 3D geological models to clarify the distribution of remaining gas and guide well placement optimization. (4) Further strengthening the evaluation of deep coal-rock gas in terms of resource potential, well type and pattern, reservoir stimulation, single-well performance, and economic viability.…”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…In addition, the hybrid of long short-term memory and bidirectional gated recurrent unit (LSTM + Bi-GRU) technique is employed for the DDoS attack classification process. …”
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Real-World Evidence of Safety and Efficacy of Carboplatin plus Nanoparticle Albumin-Bound Paclitaxel in Patients with Advanced Non-Small-Cell Lung Cancer and Preexisting Interstiti... by Tomoyuki Araya, Toshiyuki Kita, Tsukasa Ueda, Nanao Terada, Tamami Sakai, Kenta Yamamura, Koji Kurokawa, Yuka Uchida, Takashi Sone, Hideharu Kimura, Kazuo Kasahara

“…The overall response and disease control rates were 77.8% (95% CI, 40.0–97.2) and 88.9% (95% CI, 51.8–97.2), respectively. …”
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Burden of six common sexually transmitted infections groups in North Africa and Middle East Region from 1990 to 2021: A systematic analysis of global burden of diseases by Amirhossein Shahsavand, Leonardo Oliveira Reis, Ali Golestani, Alireza Namazi Shabestari, Ziba Aghsaeifard, Ozra Tabatabaei-Malazy, Iman Menbari Oskouie, Bagher Larijani, Seyed Mohammad Kazem Aghamir

“…Both age-standardized rates (ASRs) and total numbers were evaluated across 21 NAME countries, with breakdowns by sex, age, and sociodemographic index (SDI). …”
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Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging by Quancheng Liu, Chunzhan Yu, Yuxuan Ma, Hongwei Zhang, Lei Yan, Shuxiang Fan

“…To further enhance modeling accuracy, deep learning models such as bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), and convolutional neural network–bidirectional gated recurrent unit (CNN-BiGRU) were introduced and compared comprehensively under the optimal spectral preprocessing conditions. …”
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