Advancing geohazard risk assessment – A digital tool for steep slope management by Cherry Rose Godes, One-Bin Lim, Shanelle Aira Rodrigazo, Yongseong Kim, Yongjin Kim, Seungjoo Lee, Jaeheum Yeon

“…Growing climatic variability and rapid urbanization have increased landslide occurrences, posing significant challenges for risk assessment. …”
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La biodiversidad y los servicios ecosistémicos en sistemas agroecológicos. Una revisión by Wendy Mercedes Ramírez-Suárez, Jorge Carlos López-Chouza, María de los Ángeles Flores-Acosta, Saray Sánchez-Cárdenas, Pedro Lázaro Rodríguez-Morejón

“…There is a strong interrelationship between the functioning of biodiversity and the development of ecosystem processes that will subsequently form the basis of production, based on the richness and spatial and temporal variability of species, their performance in the complexity of ecosystems and the maintenance of ecosystem services at different scales.…”
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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…However, challenges such as data quality variability, algorithmic opacity, and scalability constraints persist. …”
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SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers by Hadrien T. Gayap, Moulay A. Akhloufi

“…Accurate segmentation of Regions of Interest (ROI) in lung Computed Tomography (CT) is crucial for early lung cancer diagnosis and treatment planning. However, the variability in size, shape, and location of lung lesions, along with the complexity of 3D spatial relationships, poses significant challenges. …”
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FMRI insights into the neural alterations and clinical correlates in multiple sclerosis: A comprehensive overview of systematic reviews and meta-analyses by Sama Rahnemayan, Arezoo Fathalizadeh, Mehdi Behroozi, Mahnaz Talebi, Amirreza Naseri, Elham Mehdizadehfar

“…Graph theory metrics identified disrupted global efficiency and clustering in functional networks, linked to gray matter atrophy. …”
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Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

“…One of the most critical aspects of turning, and machining in general, is the surface roughness of the finished product, which directly influences the performance, functionality, and longevity of machined components. …”
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RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…The model demonstrated superior accuracy and interpretability compared to existing methods, addressing variability and complexities inherent in cytological images. …”
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A Robust Multi-Objective Evolutionary Framework for Artificial Island Construction Scheduling Under Dynamic Constraints by Tianju Zheng, Liping Sun, Mingwei Li, Guangyao Yuan, Shuqi Li

“…MACEMGA combines cooperative coevolution, adaptive dynamic weighting, dynamic penalty functions, and advanced genetic operators to navigate the solution space efficiently and identify Pareto optimal schedules. …”
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Nitrogen deposition favors later leaf senescence in woody species by Jian Wang, Xiaoyue Wang, Josep Peñuelas, Hao Hua, Chaoyang Wu

“…Changes in climate conditions and nitrogen deposition levels jointly controlled the direction of date of foliar senescence trends (advance or delay). The spatial variability of nitrogen deposition effects can be related to plant traits (e.g., nitrogen resorption and use efficiencies), climatic conditions, and soil properties. …”
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Geospatial Multi-User Channel Condition Interpolation for Instantaneous Sporadic Transmission and CSI Feedback Overhead Reduction in 5G and Beyond by Jasna Jankovic, Zeljko Ilic, Gordan Sisul

“…Next-generation networks look for innovative solutions to enable new service functionalities while increasing the system efficiency. …”
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MODELING THE IMPACT OF THE TRANSPORT PROVISION OPTION ON PROJECT RISKS by Svitlana Rusanova

“…At the same time, the alternatives and variability of transport provision form a corresponding impact on the project risks. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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Sustainable extraction of bioproducts from cactus pear waste: Economic viability and market opportunities in a green economy by Giuseppe Timpanaro, Vera Teresa Foti

“…These findings suggest that while the project is economically feasible, managing supply chain variability and optimising energy consumption are critical for long-term sustainability. …”
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Ectopic expression of vaccinia virus E3 and K3 cannot rescue ectromelia virus replication in rabbit RK13 cells. by Erin S Hand, Sherry L Haller, Chen Peng, Stefan Rothenburg, Adam R Hersperger

“…However, there is individual variability in the range of species able to be productively infected. …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…</p> <p>The generated patterns of global ET variability were relatively consistent across the ML models overall, but in regions with low data support via eddy covariance (EC) stations, we observed substantial biases across models and covariate setups and large ensemble uncertainties. …”
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Speciation and mobilization of ultra-trace Hg(II) in groundwater by Kunfu PI, Yanxin WANG, Juewen LIU, Ya’nan YANG, Van Cappellen PHILIPPE

“…Applying tests to hydrogeochemically diverse groundwaters from the Grand River Watershed, Canada, the results indicate that the DNA-functionalized hydrogel is able to quickly detect dissolved Hg(II) but inapplicable to low Hg(II) concentrations (<1.60 μg/L), whereas the DNA-DGT sensor can capture variably ultra-trace Hg(II) species depending on the deployment time. …”
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ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks by T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, I. Mitevski, R. J. Kramer, M. Previdi, L. M. Polvani, L. M. Polvani, L. M. Polvani

“…ClimKern functions contain helpful optional parameters while maintaining standard practices between calculations.…”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Ensuring data quality in CEA systems is essential, as it affects system stability and operational efficiency. This research aims to assess system stability by analyzing the correlation between cumulative agricultural operations (Agr.Ops) and air temperature data variability.MethodsThe methodology involved collecting air temperature data from IoT sensors in the CEA system throughout lettuce cultivation trials. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Light-activated decellularized extracellular matrix-based bioinks for enhanced mechanical integrity by Minji Kim, Dayoon Kang, Hohyeon Han, Jinah Jang

“…The advent of photocrosslinking technologies marks a paradigm shift, with light-activated functional groups such as methacrylates, thiol-enes, and phenols substantially improving the gelation efficiency, mechanical properties, and spatial fidelity of the printed constructs. …”
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