Nano-Tailored Triple Gas Sensor for Real-Time Monitoring of Dough Preparation in Kitchen Machines by Dario Genzardi, Immacolata Caruso, Elisabetta Poeta, Veronica Sberveglieri, Estefanía Núñez Carmona

“…Integrating this e-nose into kitchen equipment offers a concrete opportunity to optimize leavening by identifying the ideal endpoint, improving reproducibility, and reducing waste. In future applications, sensor data could support feedback control systems capable of adjusting fermentation parameters like time and temperature in real time.…”
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Lack of crucial information exacerbates barriers to mitigating human–elephant conflicts in rural Kenya by Lynn Von Hagen, Bruce A. Schulte, Todd D. Steury, Kelly Dunning, Mwangi Githiru, Sarah Zohdy, Christopher A. Lepczyk

“…Our findings also have broader applications for practitioners seeking to understand barriers stakeholders face in their efforts to mitigate negative interactions with wildlife.…”
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THE USE OF SOCIAL MEDIA AS A SOURCE OF COMPLEMENTARY FEEDING INFORMATION FOR MOTHERS by Meta Herdiana Hanindita, Nur Aisiyah Widjaja, Siti Nurul Hidayati, Roedi Irawan, Boerhan Hidayat

“…Health efforts with a promotive approach that are evidence-based, understandable and applicable are needed and can be carried out through SM.…”
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Methods for assessing efficacy of cleaning and disinfection in livestock farms: a narrative review by Iryna Makovska, Evelien Biebaut, Pankaj Dhaka, Pankaj Dhaka, Leonid Korniienko, Julia Gabrielle Jerab, Laura Courtens, Ilias Chantziaras, Jeroen Dewulf

“…ATP offers quantitative data, though the accuracy can be influenced by the presence of detergents or disinfectants, requiring careful calibration. …”
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Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling by Manju Kumari, Siddhant Ranjan Padhi, Mamta Arya, Rashmi Yadav, M. Latha, Anjula Pandey, Rakesh Singh, Chellapilla Bhardwaj, Atul Kumar, Jai Chand Rana, Kailash Chandra Bhatt, Rakesh Bhardwaj, Amritbir Riar

“…In this study, a highly diverse collection of 139 horse gram accessions was utilized to generate reference data. Prediction models were developed for protein, starch, TSS, phenols, and phytic acid using MPLS regression method with spectral preprocessing using SNV-DT to remove scatter effects and baseline noise. …”
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Clinical practice guidelines for acute kidney injury: a systematic review of the methodological quality by Ruizhe Li, Lanxia Wu, Xinhui Wu, Qingyang Fu, Mingyu Xu, Xu Zhai, Junfei Chen

“…Our analysis reveals critical gaps in the practical applicability and transparency of current clinical practice guidelines, particularly regarding implementation strategies tailored to different populations, such as aging populations. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

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Optimizing fuel break management for core habitat protection against wildfires in the northern Great Basin by Dung Nguyen, Yu Wei, Erin J. Belval, Jesse D. Young, Christopher D. O'Connor, Christopher J. Dunn, David E. Calkin

“…The model uses simulated wildfires for 20,000 fire seasons, calibrated to historical fire occurrence data from 2006 to 2020. It coordinates treated fuel breaks to create opportunities to contain each simulated fire. …”
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Next-generation cutting-edge hybrid AI frameworks for predicting rheological properties and CO₂ emissions in alkali-activated concrete by Lu Zhang, Kangning Liu, Ali H. AlAteah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad

“…The rheological properties of alkali-activated concrete (AAC) are critical for its performance in modern construction applications, where stability, pumpability, and resistance to washout are essential. …”
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AI and Interventional Radiology: A Narrative Review of Reviews on Opportunities, Challenges, and Future Directions by Andrea Lastrucci, Nicola Iosca, Yannick Wandael, Angelo Barra, Graziano Lepri, Nevio Forini, Renzo Ricci, Vittorio Miele, Daniele Giansanti

“…Focusing on transparency, data governance, human oversight, and post-market monitoring will ensure AI integration in IR proceeds with safeguards, benefiting patient outcomes and advancing the field.…”
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Heat transfer optimization in magnetohydrodynamic buoyancy-driven convective hybrid nanofluid with carbon nanotubes over a slippery rotating porous surface by Thirupathi Thumma, Surender Ontela, Devarsu Radha Pyari, S.R. Mishra, Subhajit Panda

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Preclinical approaches in regenerative medicine for treating end-stage renal disease: a scoping review by Andrea Vigezzi, Paola Brani, Daniela Dalla Gasperina, Lorenzo Azzi, Cristina Giaroni, Davide Inversini, Giuseppe Pettinato, Matthew Massaad, Giulio Carcano, Giuseppe Ietto, Andreina Baj

“…A scoping review was conducted to systematically assess the current evidence and emerging applications of regenerative medicine in the treatment of End Stage Renal Disease (ERSD), aiming to map existing knowledge and identify key research gaps. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…ConclusionsThis study highlights the essential role of NER models in medical informatics, emphasizing the imperative for model optimization via precise data targeting and fine-tuning. The insights from this study will notably improve clinical decision-making and facilitate the creation of more sophisticated and effective medical NER models.…”
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Optimizing Cost-Effective Larval Diets for Mass Rearing of <i>Aedes</i> Mosquitoes in Vector Control Programs by Qianqian Li, Tongxin Wei, Yan Sun, Jehangir Khan, Dongjing Zhang

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A hammerhead ribozyme selects mechanically stable conformations for catalysis against viral RNA by Man Lu, Zhiqiang Cao, Luoan Xiong, Hongying Deng, Kangkang Ma, Ning Liu, Yanding Qin, Shen-Bo Chen, Jun-Hu Chen, Yao Li, Yijin Liu, Zhongbo Yu

“…However, the structure and biochemical data of ribozymes have been disagreed on, making the understanding of its catalysis mechanism a longstanding issue. …”
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The KnowWhereGraph ontology by Cogan Shimizu, Shirly Stephen, Adrita Barua, Ling Cai, Antrea Christou, Kitty Currier, Abhilekha Dalal, Colby K. Fisher, Pascal Hitzler, Krzysztof Janowicz, Wenwen Li, Zilong Liu, Mohammad Saeid Mahdavinejad, Gengchen Mai, Dean Rehberger, Mark Schildhauer, Meilin Shi, Sanaz Saki Norouzi, Yuanyuan Tian, Sizhe Wang, Zhangyu Wang, Joseph Zalewski, Lu Zhou, Rui Zhu

“…KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, crop and land-cover types, demographics, and human health, various place and region identifiers, among other themes. …”
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Force‐Triggered Non‐Volatile Multilevel Mechano‐Optical Memory System for Logic Computation and Image Recognition by Jiaxing Guo, Feng Guo, Hang Yang, Tianhong Zhou, Xiaona Du, Rui Gao, Haisheng Chen, Minghao Hu, Weiwei Liu, Yang Zhang, Dong Tu, Jianhua Hao

“…Abstract In the big data era, sensing multi‐modal information in memory is highly demanded for the sake of artificial intelligence applications to overcome the limitations of the von Neumann architecture. …”
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An Empirical Line approach for <em>Agrowing</em> Camera Aerial Images of inland waters based on exponential fit and <em>in situ</em> water measurements by B. C. Lucchetta, F. S. Y. Watanabe, F. S. Y. Watanabe, N. M. R. Bernardo, R. D. C. Fialho, N. N. Imai, N. N. Imai, A. M. G. Tommaselli, A. M. G. Tommaselli, G. S. Roncolato

“…However, in many Earth observation applications, it is needed to make compatible the spatial data of images captured by high spatial resolution multispectral sensors with the spectral response of targets on the Earth's surface. …”
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Integration of the wingate anaerobic test into a virtual reality- based evaluation system by Gulay Aras Bayram, Gizem Ergezen Sahin, Gizem Yilmaz, Umut Islam Tayboga, Ayten Gunes Celik, Yasin Yildirim, Pinar Kaya Saribas, Devrim Tarakci

“…Maximum power, minimum power, average power and fatigue index data from the test system were recorded for analysis. …”
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Design and Implementation of a Software System for Full-Process Animal Experiment Ethical Review by XU Xiao, WU Jiemin, LIANG Yi, YE Mingxia, ZHOU Shunchang

“…At the post-review stage, researchers are required to provide retrospective data to evaluate the experimental process. Additionally, this paper provides an in-depth exploration of the software, detailing its functional and non-functional requirements, as well as its security considerations. …”
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