CD9 expression rivals IDH mutation as a prognostic marker in glioma: a novel nomogram approach by Yue Peng, Qiang Ji, Qiang Ji, Xiangyu Guo, Weichunbai Zhang, Zixuan Yang, Wenbin Li, Wenbin Li

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Unravelling metabolic cross‐feeding in a yeast–bacteria community using 13C‐based proteomics by Natalia Gabrielli, Christoniki Maga‐Nteve, Eleni Kafkia, Mandy Rettel, Jakob Loeffler, Stephan Kamrad, Athanasios Typas, Kiran Raosaheb Patil

“…The community was grown on lactose as the main carbon source with either glucose or galactose fraction of the molecule labelled with 13C. Data analysis allowing for the possible mass‐shifts yielded hundreds of peptides for which we could assign both species identity and labelling degree. …”
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To Hunt or Patrol? Social Composition and Location Mediate Scent Marking Decisions of a Large Carnivore by K. Whitney Hansen, Neil R. Jordan, Megan J. Claase, J. W. McNutt, Alan Wilson, Christopher C. Wilmers

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Comparative Analysis of Fecal Microbiota and Metabolomic Profiles in Male and Female Leizhou Goats Offered a 10% Crude Protein Diet Among Four Energy Levels by Hu Liu, Wenji Wang, Weishi Peng, Anmiao Chen, Xiaogao Diao, Xia Yang, Jianmin Chai, Yuanting Yang, Ke Wang, Jiancheng Han, Hanlin Zhou

“…The animals were assigned to two separate 4 × 4 Latin square designs according to their gender, each consisting of four treatments and four 28-day periods, including 25 days of a dietary adaptation period and 3 days of fecal sample collection per period. The data were analyzed using the SAS statistical package and Pearson’s correlation analysis. …”
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A Spatial-Network Approach to Assessing Transportation Resilience in Disaster-Prone Urban Areas by Francesco Rouhana, Dima Jawad

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Environmental Assessment of the Life Cycle of Bovine Compound Feeds from a Feed Milling Plant in a Large Commercial Farm in Wielkopolska Region, Poland by Jerzy Bieńkowski, Małgorzata Holka

“…The study presents an assessment of production impacts of bovine compound feeds according to Life Cycle Analysis (LCA) methodology. The data for analysis were based on the set of information obtained from the feed milling plant located in a commercial agricultural enterprise in the Wielkopolska region in the years 2015-2016. …”
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TRIZ AS A TOOL THAT INCORPORATES ART FOR THE EVOLUTION OF INNOVATIVE PROJECTS by ELENA COJOCARI, STANISLAV CȘEMINSCHI

“…This study presents an in-depth analysis of how TRIZ (Theory of Inventive Problem Solving) can enhance the evolution of innovative projects. …”
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Enhancing Forecast Verification in National Meteorological and Hydrological Services by Thomas C. Pagano, Elizabeth E. Ebert, Mohammadreza Khanarmuei

“…ABSTRACT Forecast verification is an essential function of National Meteorological and Hydrological Services (NMHSs), underpinning their ability to deliver accurate, reliable, and actionable weather, climate, and water‐related information. …”
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Secular trends in physical fitness and cardiovascular risks among Chinese college students: an analysis of five successive national surveys between 2000 and 2019Research in context by Shan Cai, Yihang Zhang, Ziyue Chen, Yunfei Liu, Jiajia Dang, Jiaxin Li, Tianyu Huang, Ziyue Sun, Yanhui Dong, Jun Ma, Yi Song

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Characterization of cryo-cooled silicon crystal monochromators via measurement of flux versus power by Lucia Alianelli, Hossein Khosroabadi, John Sutter, Andrew C. Walters, Pierpaolo Romano, Kalotina Geraki, Francesco Carlá, Jonathan Rawle, Sarah Barnett, Kawal Sawhney

“…Acceptable monochromator heat load values are determined with this model, to ensure optimal function of the monochromator. This model, previously tested against finite element analyses, is now validated against measured data and it will be used as a tool for initial analysis of monochromator performance on upgraded photon sources.…”
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

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Levodopa influence on turning dynamics in people with Parkinson’s disease by Lakshmi Pillai, Reid D. Landes, Tuhin Virmani

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Structural and Vibrational Characterizations of Alizarin Red S by César A. N. Catalán, Licínia L. G. Justino, Rui Fausto, Gulce O. Ildiz, Silvia Antonia Brandán

“…The combination of calculations with the scaled quantum mechanics force field (SQMFF) methodology has allowed the assignment of the experimental infrared spectrum of ARS in the solid phase and the determination of the corresponding force constants. The structural analysis also included the investigation of the NMR and UV-visible spectra of the compound in solution in light of the undertaken quantum chemical calculations, the obtained theoretical data being in good agreement with the corresponding experimental ones. …”
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DIGITAL TRANSFORMATION OF BUSINESS MANAGEMENT: INNOVATIVE MODELS, FORECAST SCENARIOS AND CURRENT CHALLENGES OF ECONOMY MODERNIZATION by I.V. Burtnyak, T.V. Khaludilo

“…The stages of transition from traditional approaches to digital models have been examined through functional analysis in the context of societal reproduction—production, distribution, exchange, and consumption—while a historical review of the evolution of management thought has been combined with an analysis of contemporary practices. …”
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Variable Unidentate Ligands in Cu(I)(XXY) and Cu(I)(XYZ) Complexes—Structural Aspects by Milan Melník, Veronika Mikušová, Peter Mikuš

“…Given the importance of Cu(I) compounds in (bio)inorganic functional materials and catalysis, the correct interpretation of the geometry of Cu(I) complexes in terms of the coordination polyhedra is crucial for understanding the properties of the respective compounds.…”
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Working towards a new normal: a meta-synthesis of patient-reported aspects of a good life with heart disease by Lisa Nebel, Timothy R. Le Butt, Christoph Herrmann-Lingen, Daniel Broschmann

“…Articles were assessed for methodological quality using a modified CASP tool, and data synthesis followed Interpretative Phenomenological Analysis. …”
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Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions by Muhammad Liaquat Raza, Muhammad Liaquat Raza, Muhammad Liaquat Raza, Syed Tawassul Hassan, Subia Jamil, Noorulain Hyder, Kinza Batool, Sajidah Walji, Muhammad Khizar Abbas

“…The review process involved a comprehensive search of relevant databases (PubMed, Embase, Google Scholar and ClinicalTrials.gov), selection of pertinent studies, and critical analysis of findings. We employed a best-evidence approach, prioritizing high-quality studies and identifying consistent patterns across the literature.ResultsDeep learning architectures, including convolutional neural networks, recurrent neural networks, and transformer-based models, have shown remarkable potential in analyzing multimodal neuroimaging data. …”
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Exploring the Nexus: Services Trade, Economic Growth and Current Account Dynamics in India by Ananya Dixit, Mohd. Yousuf Malik, Bimal Jaiswal, Waheedullah Hemat

“…The key service sub-sectors are also identified using long-run and short-run cointegration analysis based on the Johansen cointegration test and impulse response function. …”
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Induction of more severe central sensitization in a medication overuse headache model mice through active ingestion of rizatriptan by Zhenjie Ma, Chenhao Li, Wenhao Bai, Wei Xie, Mingjie Zhang, Han Xiao, Cancan Chen, Yang Li, Wenwen Zhang, Deqi Zhai, Yingyuan Liu, Dengfa Zhao, Wenjing Tang, Zhao Dong, Ruozhuo Liu, Shengyuan Yu

“…Behavioural assessments included mechanical allodynia (von Frey filaments), anxiety-like behaviours (elevated plus maze, EPM and open field test, OFT), and drug-seeking quantification. Quantitative data from c-Fos immunostaining across 25 specific brain regions were subjected to Z score normalization, followed by three-tiered computational analyses: 1) hierarchical clustering (complete linkage) to characterize activation patterns, 2) Pearson correlation analysis for functional connectivity mapping, and 3) graph-theoretical network analysis (Cytoscape 3.2.1) to identify hub regions and their topological relationships. …”
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The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure by Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

“…., 2022), and Ripley’s K Function (Kan et al., 2022), Local Indicators of Spatial Association (LISA) (Sansuk et al., 2023), hotspot analysis by Getis-Ord Gi* (Lun et al., 2022), spatial lag models (Rey & Franklin, 2022), and Geographically Weighted Regression (GWR) (Kiani et al., 2024) are designed to explicitly incorporate the spatial structure of data into spatial modelling, often referred to as spatially aware models (Reich et al., 2021). …”
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