MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…The software has an integrated help system with tutorials that demonstrate standard workflows and explain the capabilities of MetaboLabPy. …”
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Total cardiolipin levels in gastric and colon cancer: evaluating the prognostic potential by Pavels Dimitrijevs, Ilona Freiliba, Andrejs Pčolkins, Marcis Leja, Pavel Arsenyan

“…Abstract Background Cardiolipin (CL) is a signature phospholipid of mitochondria that maintains the integrity of mitochondrial membrane and supports proper mitochondrial function. …”
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Map‐matching for cycling travel data in urban area by Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn

“…The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.…”
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Suitability Assessment of Remotely Sensed Urban Air Quality Data by Zixin Zhang, Bin Zou, Shenxin Li

“…These findings provide valuable insights for improving PM_2.5 concentration remote sensing monitoring methods and designing the integrated “air–space–ground” observational network scheme.…”
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Evolution of flight control systems and aerial photography in unmanned agricultural aircraft by Yu. S. Tsench, R. K. Kurbanov, N. I. Zakharova

“…(Research purpose) This research aims to conduct a retrospective analysis of the evolution offlight control systems and the development of aerial photography equipment for agricultural land, covering the period from the mid-19th century to present. (Materials and methods) A systematic literature review was conducted using the historical-analytical method. …”
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How digital health literacy shapes health: Mediating role of physical activity and heterogeneity in China. by Wei Cheng, Miao Miao, Luying Jiao, Xin Liu

“…Heterogeneity analyses stratified by gender, household registration status, and other demographic factors further elucidated variations in DHL's impacts on physical and mental health.…”
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Factors associated with the presence and intensity of ongoing symptoms in Long COVID. by Niels Brinkman, Teun Teunis, Seung Choi, David Ring, W Michael Brode

“…This emphasizes the need for comprehensive, whole person treatment strategies that integrate evidence-based interventions to address the multifaceted nature of PASC.…”
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Cross-Domain Fault Diagnosis of Rotating Machinery Under Time-Varying Rotational Speed and Asymmetric Domain Label Condition by Siyuan Liu, Jinying Huang, Peiyu Han, Zhenfang Fan, Jiancheng Ma

“…It reduces the IFD model’s dependence on domain label space symmetry during transient speed variation. To integrate signal prior knowledge for transferable feature representation, angular resampling is used to lessen the time-varying speed fluctuations’ impact on the IFD model. …”
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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

“…The CANBUS data were integrated with economic parameters like depreciation, maintenance, fuel, and labour costs to estimate job-specific and per-hectare costs. …”
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A framework for social media analytics in textile business circularity for effective digital marketing by Omaymah Almashaleh, Hendro Wicaksono, Omid Fatahi Valilai

“…This study aims to bridge the gap by proposing a novel Instagramⓒ analytics framework that seamlessly integrates content and network analyses. A mixed-method approach is adopted, merging qualitative insights derived from unstructured data with quantitative techniques. …”
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Advancing climate resilience: technological innovations in plant-based, alternative and sustainable food production systems by Aleksandar Mešić, Marina Jurić, Francesco Donsì, Luna Maslov Bandić, Slaven Jurić

“…Precision agriculture uses technology to enhance farming efficiency by gathering data on soil and water variations and optimizing practices like planting, fertilization, and irrigation. …”
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Automated non-destructive phenotyping of Camellia oleifera seedlings based on 3D point clouds by Yang Zhou, Yongbin Wang, Wei Long, Tonggui Wu

“…In each iteration, independent morphological analysis and skeletonization were conducted on a specific region, thereby enhancing the traditional clustering algorithm's sensitivity to local morphological feature variations. By extracting only the main stem or specific branches in each iteration, the integrity of the overall segmentation result was maintained, enabling the transition from canopy segmentation to precise stem-leaf segmentation. …”
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Multi-Feature Lightweight DeeplabV3+ Network for Polarimetric SAR Image Classification with Attention Mechanism by Junfei Shi, Shanshan Ji, Haiyan Jin, Yuanlin Zhang, Maoguo Gong, Weisi Lin

“…To address these issues, we propose a novel attention mechanism-based multi-feature lightweight DeeplabV3+ network for PolSAR image classification. The proposed method integrates feature extraction, learning, selection, and classification into an end-to-end network framework. …”
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Remote sensing-based assessment of four decades of land use/land cover change in the Sigi River Watershed, East Usambara Mountains, Tanzania by Simon Chidodo, Simon Chidodo, Lulu Zhang, Azin Zarei, Karl-Heinz Feger

“…This study analyzed LULC dynamics from 1983 to 2022 in the Sigi River watershed (887 km2) in the East Usambara Mountains, a biodiversity hotspot and critical water source in northeastern Tanzania.Methods:Multi-temporal Landsat satellite images were classified using the Random Forest algorithm to assess LULC transitions across elevation and slope gradients.Results:The results revealed marked variations in LULC change across topographic zones. …”
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Four-dimensional aircraft emission inventory dataset of the landing-and-takeoff cycle in China (2019–2023) by J. Lang, J. Lang, Z. Yang, Y. Zhou, C. Wen, X. Cheng

“…An accurate and high-resolution LTO emission inventory is crucial for investigating these adverse effects, with the LTO emission having unique three-dimensional (3D) spatial characteristics and typical hourly temporal variations. This study integrated the emission calculation and flight trajectory recognition methods to establish a four-dimensional (4D) aircraft emission inventory dataset of China's LTO cycle (4D-LTO emission inventory dataset) from 2019 to 2023. …”
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Protein profile of spermatozoa and seminal plasma based on molecular weight in four phenotypes of Kokok Balenggek roosters by Jaswandi Jaswandi, Rusfidra Rusfidra, Ananda Ananda, Agusti Azones Abimanyu, Harif Gusdinal

“…Understanding these variations can aid in the development of better management strategies for poultry breeding programs. …”
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Measuring disparities in out of hospital cardiac arrest outcomes in Chicago community areas by Marina Del Rios, Shaveta Khosla, Joseph Weber, Pavitra Kotini-Shah, Katie Tataris, Eddie Markul, Terry Vanden Hoek

“…Methods: This is a retrospective cohort study of OHCA treated by Chicago Fire Department EMS from January 1st 2014 through December 31st 2021. …”
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Enrollment Motivations, Career Perceptions, and Preferences of Pharmacy Students under a Changing Educational Landscape: An Exploratory Survey at a Single Institution in South Kore... by Youran Noh, Kyung-Bok Son

“…This study investigates students’ enrollment motivations, career perceptions, and career preferences at a single institution that admits cohorts under both the two-plus-four-year and six-year integrated systems. Methods A web-based survey was conducted among all enrolled students at a college of pharmacy in South Korea. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Background/Objectives: This systematic review presents how neural and emotional networks are integrated into EEG-based emotion recognition, bridging the gap between cognitive neuroscience and practical applications. …”
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The Impact of Green Taxation on Sustainable Economic Development in the European Union by Valentin Marian Antohi, Costinela Fortea, Monica Laura Zlati, Marius Sorin Dinca

“…Through initiatives such as the European Green Deal and the Border Carbon Adjustment Mechanism, the European Union aims to integrate sustainability principles into national tax systems, promoting a just transition towards a circular and low-emission economy. …”
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