Effectiveness of non-technical skills training in intensive care units: a systematic review by Isac Davidson Santiago Fernandes Pimenta, Ádala Nayana de Sousa Mata, Isaac Newton Machado Bezerra, Rícia Medeiros Palmeira de Araújo, Jorge Lucas Alves Santana, Helaine Carneiro Capucho, Adriana Catarina de Souza-Oliveira, Paloma Echevarría-Pérez, Daniel Guillén-Martínez, Grasiela Piuvezam

“…This study aims to examine the effectiveness of NTS training programs in intensive care units using Kirkpatrick’s evaluation model, encompassing reaction, learning, behaviors, and organizational results. Method We conduct a systematic review of original articles in the following databases: Pubmed (Medline), Scopus, Web of Science, Science Direct, CINHAL (EBSCOhost), EMBASE (Elsevier), and PsycINFO. …”
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Film mulching can alleviate soil quality decrease and produce high maize yield under different irrigation strategies by Hao Quan, Lihong Wu, Jiaming Sun, Tibin Zhang, Lianhai Wu, Kadambot H.M. Siddique, Hao Feng, Bin Wang

“…Plastic film mulching (PM) combined with irrigation is widely adopted to improve crop yields, water and nitrogen efficiency, especially in arid farming areas. Despite its benefits, the effects of this method on soil quality and its subsequent impact on crop productivity and resource efficiency have not been thoroughly investigated. …”
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Machine learning combined with GC-FID for discrimination of different categories of maotai-flavor baijiu by Liang Yang, Chun Xian, Shuai Li, Ye Wang, Xinying Wu, Qingcai Chen, Wenwu Zhao, Cheng Zhao, Xiaobo Li, Junjun He, Renyuan Chen, Chunlin Zhang

“…While crucial for flavor complexity, current manual identification methods hinder blending efficiency and quality control. …”
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Ensuring service continuity in electric vehicles with vector control and linear quadratic regulator for dual star induction motors by Z. Darsouni, S. E. Rezgui, H. Benalla, F. Rebahi, M. A. M. Boumendjel

“…The results show that this approach can keep the motor running smoothly even under parameter variations or degraded conditions. The precision and adaptability of the LQR technique enhance the overall efficiency and stability of the DSIM, making it a highly viable solution for modern EVs. …”
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Specialized metabolites present in Camellia reticulata nectar inhibit the growth of nectar‐inhabiting microorganisms by Lijie Xun, Lijie Xun, Rong Huang, Qiongyan Li, Qingxin Meng, Rui Su, Xiaoman Wu, Renbin Zhang, Linshu Li, Xueyang Gong, Kun Dong

“…Microbial strains in Camellia reticulata nectar were isolated and identified using the spread plate method coupled with DNA sequencing. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was implemented to characterize metabolite differences between spoilage and natural nectars. …”
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Remote sensing of cyanobacterias with Sentinel-2 in the Salto Grande by J. Ramos, J. Ramos, J. L. Di-Laccio, J. Uzuriaga, N. Bonomo

“…This study uses images from the Sentinel-2 satellite to investigate different methods for detecting and monitoring cyanobacteria. …”
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Wheels turning: CHO cell modeling moves into a digital biomanufacturing era by Sandeep Ranpura, Vishwanathgouda Maralingannavar, Alexandra-Gabriela Gheorghe, Edward Ma, James Morrissey, Michael J. Betenbaugh, Deniz Demirhan

“…The role of big data analytics and artificial intelligence methods in reinforcing progress towards smart manufacturing and enabling real-time control of production processes is discussed. …”
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A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

“…The framework maintained robustness under challenging conditions, such as low light and fog, outperforming YOLOv9-S, YOLOv9-E, and DCNN-based methods. Furthermore, it surpassed state-of-the-art models on RSOD and NWPU VHR-10 datasets, achieving superior detection accuracy and robustness. …”
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Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…The solution provides four key advantages: (1) robust handling of dynamic operational conditions including sudden constant power load variations, source fluctuations, and islanding/connection mode transitions; (2) decoupled control architecture separating high-level power management from fast local regulation; (3) optimized computational efficiency for onboard processing constraints; and (4) enhanced environmental robustness through NTSM’s inherent stability in extreme thermal/radiation conditions. …”
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AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models by Faruk Dikmen, Ahmet Demir, Bestami Özkaya, Muhammad Owais Raza, Jawad Rasheed, Tunc Asuroglu, Shtwai Alsubai

“…These findings highlight the potential of AI-driven approaches in wastewater management to improve decision-making, regulatory compliance, and resource efficiency. However, limitations such as operational irregularities and seasonal variations remain challenges for further refinement.…”
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Automated activity-based costing for large tractor fleets: A scalable CANBUS framework for farm economics by Massimiliano Varani, Giovanni Molari, Gianvito Annesi, Michele Mattetti

“…Accurate cost estimation of machinery operations is particularly critical in large-scale farming, where machinery represents a substantial portion of operational expenses. Traditional costing methods often rely on assumptions, leading to inefficiencies. …”
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EXECUTIVE-LEGISLATIVE RELATIONS AND LEGISLATIVE EFFECTIVENESS OF NIGERIA’S NATIONAL ASSEMBLY, 2015-2023 by JAMES LINGA JOSEPH

“…Through a comprehensive analysis of legislative activities, legislative outputs, and interactions between the executive and legislative arms, this research investigates how the nature of this relationship influenced the effectiveness of the legislative process during the specified time frame. Utilizing a mixed-methods approach, including qualitative analysis of legislative records, policy documents, and interviews with key stakeholders, complemented by quantitative data analysis, this study explores the extent to which executive-legislative dynamics affected legislative productivity, policymaking efficiency, and the overall performance of the National Assembly. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…Results from diverse dynamic operating conditions confirm the superior performance of the JFFAEKF in SOC estimation compared to existing methods.…”
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Pedological characterization of soils under tobacco cultivation: insights from Sikonge, Uyui and Tabora districts in Tabora Region, Tanzania by Dotto Simon Mwalembe, Boniface H. J. Massawe, Eliakira Kisetu Nassary

“…Soil profiles excavated in each district, yielding pedons named TUTUO P1, KIPERA P1, and ISIKIZYA P1, respectively. Standard laboratory methods used to analyze soil texture, bulk density, pH, macronutrients and micronutrients of the soil samples. …”
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Response Time and Influencing Factors Among Emergency Nurses in Indonesian Hospital: A Scoping Review of Current Evidence by Ramdani D, Kosasih CE, Emaliyawati E

“…The current literature on response times and associated factors in Indonesian emergency departments (EDs) is extensive yet lacks comprehensive national and regional analysis.Objective: This study aimed to synthesize existing research on emergency nurse response times in Indonesian hospital settings and identify the factors influencing these times.Methods: This study was guided by the PRISMA-ScR framework. …”
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Improved YOLO-Based Pulmonary Nodule Detection with Spatial-SE Attention and an Aspect Ratio Penalty by Xinhang Song, Haoran Xie, Tianding Gao, Nuo Cheng, Jianping Gou

“…Comprehensive experiments conducted on the LUNA16, LungCT, and Node21 datasets reveal that our approach achieves superior precision, recall, and mean average precision (mAP) across various IoU thresholds, surpassing previous state-of-the-art methods while maintaining computational efficiency. …”
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Modeling Greenhouse Gas Emissions in a Full-Scale Activated Sludge Unit Based on Benchmark Simulation Model – A Case Study of Isfahan Wastewater Treatment Plant by Hamidreza Shiran, Gholamreza Nabi Bidhendi, Nasser Mehrdadi

“…The refined model was utilized in a case study at the Isfahan Wastewater Treatment Plant (WWTP) in Iran to assess various operational strategies and explore potential challenges related to emission management.Results: The simulation results, based on the model’s structural assumptions, indicate a negative impact on greenhouse gas (GHG) emissions associated with regional energy upgrades in the ventilation system and activated sludge sector. For example, variations in the biogenic and non-biogenic CO2​ proportions were observed when the total suspended solids (TSS) removal efficiency was altered, decreasing or increasing to 30/70 and 20/80, respectively. …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Early detection is crucial, particularly for younger women, as traditional screening methods like mammography often struggle with accuracy in cases of dense breast tissue. …”
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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

“…Analyses of the rapidly expanding cache of environmental and ecological data, however, require advanced statistical methods to contend with complexities inherent to extremely large natural data sets. …”
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DEPANet: A Differentiable Edge-Guided Pyramid Aggregation Network for Strip Steel Surface Defect Segmentation by Yange Sun, Siyu Geng, Chengyi Zheng, Chenglong Xu, Huaping Guo, Yan Feng

“…DEPANet demonstrates superior segmentation accuracy, edge preservation, and feature representation on the SD-saliency-900 dataset, outperforming other state-of-the-art methods and delivering more precise and reliable defect segmentation.…”
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