Design of a Smart Street Light-Integrated Electromec-hanical System for Willow Catkin Control by Zhou Ting, Yuan Ye, Yin Xue, Liu Yuqian, Sun Junxiu, Qi Fenghua

“…Aiming at the lack of development of extended functions for environmental management and failure to fully utilize the potential of streetlights as urban infrastructure, this study proposes a modular intelligent streetlight system integrating electrostatic adsorption and resource recycling. …”
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A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…The proposed method leverages NSBBO in two critical areas: backpropagation optimization within CNN’s fully connected neural network layers and membership function optimization to refine fuzzy logic handling of uncertain or noisy information. …”
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Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

“…An artificial neural network (ANN) was constructed with three hidden layers—comprising 15, 10, and 4 neurons, respectively—utilizing well logging parameters (CAL, VCL, NPHI, RHOB, DT) as inputs. …”
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Artistic Documentary in the Context of Cultural Dialogue and the Expression of a New Nature of Historical Self-knowledge by S.R. Gevorgyan, V.S. Karapetyan, M.M. Ispiryan, A.V. Galstyan, A.G. Marianna, Ye.Zh. Mnatsakanyan, S.A. Margaryan

“…The study employs comparative and contrast methods to examine human-nature relationships, utilizing linguistic hermeneutics to analyze literary works and their original sources. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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A multi-omics Mendelian randomization identifies putatively causal genes and DNA methylation sites for asthma by Jia Wang, MD, Jinxin Hu, MS, Dan Qin, MD, Dan Han, MD, Jiapeng Hu, MD

“…Employing Summary Data-based Mendelian Randomization (SMR) and Two-Sample Mendelian Randomization (TSMR), we pinpointed asthma causal genes, causal DNA methylation sites, and methylation sites affecting gene expression, cross validated with at least 2 large-scale GWAS from each source. We utilized colocalization for genetic associations, meta-analysis for data integration, two-step MR for methylation-gene-asthma mediation mechanism. …”
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How does soil carbon sequestration affect greenhouse gas emissions from a sheep farming system? Results of an life cycle assessment case study by Pasquale Arca, Enrico Vagnoni, Pierpaolo Duce, Antonello Franca

“… • Extensification of dairy sheep systems determines lower environmental impact per hectare of utilized agricultural area. • Enteric methane emissions are the main source of GHG emissions of the sheep milk life cycle…”
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Carnosol attenuates Acinetobacter baumannii virulence by interfering with indole-mediated quorum sensing by Binbin Cui, Ganjin Peng, Mingfang Wang, Xiaohan Kong, Hanqi Wei, Xiwen Ling, Guangliang Wu, Yinyue Deng

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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…The modular clustering framework utilizes hierarchical agglomerative clustering and a custom hydrology-specific distance function. …”
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Reinforcement Learning-Based UAV Swarm Fission–Fusion Approach With Real-World Data-Integrated Validation by Xiaorong Zhang, Dacheng Qi, Wenrui Ding, Xinrui Zhang, Qingyi Liu, Yufeng Wang

“…This paper proposes a reinforcement learning–based UAV swarm fission–fusion approach with real-world data integrated validation for the swarm’s fission-fusion behavior in response to multiple unknown dynamic disturbances, along with a system validation method utilizing real-world data. The proposed approach effectively integrates fission–fusion dynamics with perception and control to enable UAV swarms to function robustly in the presence of such disturbances. …”
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Machine learning-based model for CD4+ conventional T cell genes to predict survival and immune responses in colorectal cancer by Zijing Wang, Zhanyuan Sun, Hengyi Lv, Wenjun Wu, Hai Li, Tao Jiang

“…In this investigation, transcriptomic and clinical data were sourced from TCGA and GEO. Initially, we pinpointed CD4TGs using single-cell datasets. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…The model underwent training, validation, and testing with three publicly accessible EEG datasets sourced from PhysioNet and ResearchGate, thereby ensuring strong generalization across various datasets. …”
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Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

“…Approximately 64.73% of crAss-like phage genes lacked functional annotations, highlighting a gap in understanding their functional potential. …”
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Cost-effectiveness of prehabilitation prior to elective surgery compared to usual preoperative care: protocol for a systematic review of economic evaluations by Tanja Rombey, Helene Eckhardt, Wilm Quentin

“…Introduction Preoperative functional capacity is an important predictor of postoperative outcomes. …”
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Analysis of the need for a mobile application to support family caregivers of patients with incurable cancer – The development of the “Angehörigen-App”: a qualitative study in Swit... by Beat Huber, Natalie Röderer, Monica Fliedner, Alexander Wünsch

“…OBJECTIVES: The aim of the study was to investigate the utility of a mobile application to support the relatives of palliative cancer patients in Switzerland, the potential content elements of such an app, and its optimal functional and structural design. …”
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Collagenase injection versus limited fasciectomy surgery to treat Dupuytren’s contracture in adult patients in the UK: DISC, a non-inferiority RCT and economic evaluation by Joseph Dias, Puvan Tharmanathan, Catherine Arundel, Charlie Welch, Qi Wu, Paul Leighton, Maria Armaou, Belen Corbacho, Nick Johnson, Sophie James, John Cooke, Christopher Bainbridge, Michael Craigen, David Warwick, Samantha Brady, Lydia Flett, Judy Jones, Catherine Knowlson, Michelle Watson, Ada Keding, Catherine Hewitt, David Torgerson

“…Secondary outcomes included: Unité Rhumatologique des Affections de la Main scale; Michigan Hand Outcomes Questionnaire; recurrence; extension deficit and total active movement; further care/re-intervention; complications; quality-adjusted life-year; resource use; and time to function recovery. Randomisation and blinding Online central randomisation, stratified by the most affected joint, and with variable block sizes allocates participants 1 : 1 to collagenase or limited fasciectomy. …”
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Risk factors for prolonged hospitalization in acute decompensated heart failure from the HEROES study by Mateusz Lucki, Przemysław Mitkowski, Ewa Lucka, Marek Grygier, Ewa Straburzyńska-Migaj, Robert Morawiec, Agnieszka Kapłon-Cieślicka, Agata Galas, Katarzyna Byczkowska, Piotr Hamala, Iwona Gorczyca-Głowacka, Anna Furman-Niedziejko, Dominika Klimczak-Tomaniak, Agnieszka Major, Adrian Stefański, Mateusz Guzik, Małgorzata Zachura, Mateusz Staciwa, Ewa Pierzchała, Maciej Nadel, Maciej Lesiak

“…Early identification of high-risk patients may facilitate personalized management and optimize healthcare resource utilization.…”
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Development and Analysis of a Non-Resonant Wide-Band Tri-Axial Electromagnetic Energy Harvester by Hamid Khan, Farid Ullah Khan

“…Furthermore, the harvester’s simple architecture allows the harvester to seamlessly integrate with vibration source equipment, thus easily converting the real tri-axial excitation into electrical power. …”
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Green synthesis and detailed characterization of selenium nanoparticles derived from Alangium salviifolium (L.f) Wangerin by Karunya Saravanan, Manivannan Madhaiyan, Prabu Periyasamy, Prasath Manivannan, Alpaslan Bayrakdar, Dr. V. Balakrishnan

“…This study not only highlights an effective green synthesis route for Se NPs but also underscores the importance of utilizing natural resources in nanomaterial production. …”
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A Comprehensive Metabolomic Analysis of Volatile and Non-Volatile Compounds in <i>Folium Artemisia argyi</i> Tea from Different Harvest Times by Hui Wu, Liya Niu, Jiguang Chen, Haixia Xu, Cailin Kong, Jianhui Xiao

“…To develop and utilize <i>Folium Artemisia argyi</i> (FAA) tea resources, UPLC-MS/MS, HS-GC-IMS, and HS-SPME/GC×GC-TOFMS were adopted to analyze its volatile and non-volatile compounds, when harvested from March to June, in combination with its antioxidant activity. …”
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