Spatially resolved metabolomics: From metabolite mapping to function visualising by Xinyue Min, Yiran Zhao, Meng Yu, Wenchao Zhang, Xinyi Jiang, Kaijing Guo, Xiangyi Wang, Jianpeng Huang, Tong Li, Lixin Sun, Jiuming He

“…Advances in MSI technology improve detection sensitivity and accuracy, expanding bioanalytical applications. Enhanced visualization techniques refine metabolite identification and spatial distribution analysis. …”
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BioStruct-Africa’s capacity building workshops as a model for advancing the emerging community of structural biologists in Africa by Safiétou Sankhe, Fatoumata G. Fofana, Walid Heiba, Oludare M. Ogunyemi, Kabo Masisi, Irene Muiruri, Eunice A. Abaah, Arnaud Tepa, Chi Tchampo Fru, Joel T. Johnson, Claire V. Tchuenguia, Nelly M. T. Tatchou-Nebangwa, Desmon T. Tsafack, Brice L. Koloko, Tessy-Koko Kulu-Abi, Ivana Ngounou, Toussaint S. D. Sovegnon, Rolin Mitterran N. Kamga, Mersimine F. M. Kouamo, Yeshimebet C. Getahun, Aurélien F. A. Moumbock, Katharina C. Cramer, Nicolas V. Rüffin, Louise Djapgne, Piotr Sliz, Jamaine Davis, Michel N. Fodje, Julia J. Griese, Emmanuel Nji

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PiezoSight: Coupling vision based tactile sensor neural network processing and piezoresistive stimulation for enhanced piezo-vision hybrid sensing by Abdullah Solayman, Hussain Sajwani, Oussama Abdul Hay, Rui Chang, Laith AbuAssi, Abdulla Ayyad, Yahya Zweiri, Yarjan Abdul Samad

“…Recent advances in flexible, sensitive, and robust sensors have presented high potential for excellent use cases in robotics applications. The integration of graphene in piezoresistive sensors opened new horizons for such applications. …”
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Are historical conditions reference conditions? Revising the modeled riverine nutrient input into the German North Sea and Baltic Sea around 1880 by Andreas Gericke, Karoline Morling, Ingo Haag, Micha Gebel, Julia Krumm, Georges Bruns, Justus E. E. van Beusekom, Stephan Fuchs, Wera Leujak

“…However, the calculated nitrogen balance differed between the model applications for the German North Sea and Baltic Sea. …”
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Spatiotemporal assessment of land use land cover dynamics in Mödling district, Austria, using remote sensing techniques by Gbenga Lawrence Alawode, Tomiwa Victor Oluwajuwon, Rasheed Akinleye Hammed, Kehinde Ezekiel Olasuyi, Andrey Krasovskiy, Oluwadamilola Christianah Ogundipe, Florian Kraxner

“…Remotely sensed imagery plays a crucial role in analyzing and monitoring land cover and urban growth. The accuracy and applicability of European CORINE Land Cover (CLC) maps in Land Use and Land Cover (LULC) monitoring across European regions, especially at local scales, have been critiqued and remain limited due to temporal methodological variations. …”
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Heart disease prediction using autoencoder and DenseNet architecture by Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat

“…This methodology can improve clinical decision-making and patient outcomes in cardiovascular care by accurately finding and defining complex patterns within the data. Notwithstanding these encouraging outcomes, our investigation has constraints. …”
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Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…This allows for rapid prediction of NPs with desired magnetic properties, making them suitable for various technological applications.…”
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Morphological and Environmental Drivers of Urban Heat Islands: A Geospatial Model of Nighttime Land Surface Temperature in Iberian Cities by Gustavo Hernández-Herráez, Saray Martínez-Lastras, Susana Lagüela, José A. Martín-Jiménez, Susana Del Pozo

“…A micro-scale analysis with a 50 m resolution is conducted by integrating a custom QGIS plugin with open-access data, ensuring broad applicability. The 50 m resolution was chosen because it allows for the capture of local variations in UHI intensity while maintaining the scalability of the urban analysis across different city contexts. …”
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Comparison of the economic efficiency and sustainability of two debonding processes for structurally bonded sills by Alex Jordan, Lucas Hermelingmeier, Julian Gilich, Gerson Meschut, Marco De Santis, Alexander Schlüter

“…Notwithstanding certain disadvantages in specific impact categories, the LN2-based process exhibits a superior overall ecological performance and signifies a promising solution for repair- and recycling-oriented adhesive separation in structural vehicle applications.…”
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Bioconvection in polar fluid with microstructure: A fractional heat and mass transfer model with non-singular and non-local kernel by Frahad Ali, Zulikha Shah, Nadeem Ahmad Sheikh, Sultan Alshehery, Ilyas Khan, Wei Sin Koh

“…This is particularly important in fields like control theory, neurodynamics, fluid dynamics, and finance, where historical data impacts future behavior. Engineering interest quantities are also calculated and shown in tabular form.…”
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TCF19 expression and significance analysis in breast cancer: integrated bioinformatics analysis and histological validation by Haiyang Yu, Jingjing Wei, Qinhao Chen, Yueyin Pan, Xiaojun Qian, Jing Pan, Yubei Sun

“…Methods Gene expression profiles and clinical data were obtained from sources like The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Genotype-Tissue Expression (GTEx) for bioinformatics analysis. …”
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A risk prediction model for gastric cancer based on endoscopic atrophy classification by Yadi Lan, Weijia Sun, Shen Zhong, Qianqian Xu, Yining Xue, Zhaoyu Liu, Lei Shi, Bing Han, Tianyu Zhai, Mingyue Liu, Yujing Sun, Hongwei Xu

“…Methods We retrospectively collected the data from January 2020 to October 2021 in our hospital and randomly divided the patients into training and validation sets in an 8:2 ratio. …”
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Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis by Shweta Singh, Abhay Kumar Pathak, Sukhad Kural, Lalit Kumar, Madan Gopal Bhardwaj, Mahima Yadav, Sameer Trivedi, Parimal Das, Manjari Gupta, Garima Jain

“…A random forest ML model was trained on expression data, achieving notable performance metrics: an accuracy of 77.42%, AUC of 0.78 during verification, and 74.07% accuracy and 0.75 AUC in validation. …”
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Flavonoid biomarkers and co-expression gene networks characterized in ten Hemerocallis citrina accessions via multi-omics by Tao Ma, Hui Wang, Xinli Yue, Lu Meng, Yuchao Wang, Jiongyu Hao, Yue Zhao, Siyu Hou, Zhaoxia Sun

“…These findings provide biological and chemical insights into flavonoid metabolic difference across H. citrina origins, offering a theoretical basis for food and medical applications, and enabling clear differentiation between edible and non-edible H. citrina flowers in the market.…”
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Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG by Adam Gyula Nemes, Adam Gyulai, Adam Szarvas, Erno Nemeth, Kristof Tajti, Viktor Toth, Gyorgy Eigner

“…Our dataset, the detailed experimental methods for synchronized multimodal recording, as well as the codebase for data preprocessing and deep-learning model training, are all publicly available and open-source. …”
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Multi-Agent Deep Reinforcement Learning for Scheduling of Energy Storage System in Microgrids by Sang-Woo Jung, Yoon-Young An, BeomKyu Suh, YongBeom Park, Jian Kim, Ki-Il Kim

“…The simulation experiments were conducted using real industrial building load and photovoltaic (PV) generation data under realistic South Korean electricity tariff structures. …”
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Current status and development trends of deep coalbed methane research in China by Wei JU, Shu TAO, Zhaobiao YANG, Jiayao CHENG, Haiyan SHANG, Weike NING, Chunlong WU

“…The development of deep CBM technologies and their applicability are the key areas to be explored in the future. …”
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Coinfection with SARS-CoV-2 among patients with Streptococcus pneumoniae in Casablanca by Mostafa Katfy, Assiya El Kettani, Khalid Katfy, Idrissa Diawara, Nehemie Nzoyikorera, Soufiane Boussetta, Maha Soussi Abdallaoui, Ahmed Aziz Bousfiha

“…Clinical trial number Not applicable.…”
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Mapping the research landscape of PET/CT in lymphoma: insights from a bibliometric analysis by Die Zhang, Jianding Peng, Yingjie Zhu, Qiang Gong, Qing Wang, Chaodong Xiang, Hanjian Du, Xiaofei Hu

“…ObjectiveThis study provides a comprehensive bibliometric analysis of research trends in Positron Emission Tomography/Computed Tomography (PET/CT) applications for lymphoma, aiming to identify key contributors, emerging topics, and collaboration patterns within the field.MethodsData from the Web of Science Core Collection (2004–2024) were analyzed. …”
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Comparative Analysis of Computational Times of Lithium-Ion Battery Management Solvers and Battery Models Under Different Programming Languages and Computing Architectures by Moin Ahmed, Zhiyu Mao, Yunpeng Liu, Aiping Yu, Michael Fowler, Zhongwei Chen

“…However, there is limited data on the performance and feasibility of these models in practical embedded and cloud systems using standard programming languages. …”
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