Conventional scan body vs. scan bodies with auxiliary geometric devices: an in vitro study for edentulous full-arch implant impressions by Francesco Gianfreda, Carlo Raffone, Mirko Martelli, Alberto Pitino, Vito Carlo Alberto Caponio, Patrizio Bollero

“…Data were processed using Exocad and GOM Inspect Professional software, aligning scan body library files with mesh data using a best-fit algorithm. Angular, platform, and total deviations were calculated to assess positional trueness. …”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…Here we propose a classical machine learning system, built around a Random Forest classifier paired with a novel feature extraction algorithm adapted from Explainable Boosted Linear Regression (EBLR). …”
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Design and Experiment of DEM-Based Layered Cutting–Throwing Perimeter Drainage Ditcher for Rapeseed Fields by Xiaohu Jiang, Zijian Kang, Mingliang Wu, Zhihao Zhao, Zhuo Peng, Yiti Ouyang, Haifeng Luo, Wei Quan

“…Box–Behnken experiments and genetic algorithm optimization determined the optimal parameters: inner blade width: 200 mm; outer blade width: 300 mm; blade group distance: 200 mm; and blade opening: 586 mm, yielding a simulated power consumption of 27.07 kW. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…The extracted feature sets were concatenated within a feature fusion layer that enabled efficient dimensionality reduction via principal component analysis. A hybrid optimization approach was also introduced for feature selection using green anaconda optimization and the chaotic learning osprey optimization algorithm. …”
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Effects of Increasing Temperature on Bacterial Community Diversity in Mixed Stands of <i>Artemisia argyi</i> and <i>Solidago canadensis</i> in Eastern China by Haochen Yu, Guangqian Ren, Zhiyun Huang, Shanshan Qi, Biying Zhao, Xue Fan, Zhaoqi Zhu, Zhicong Dai, Daolin Du

“…We observed significant shifts in invasion community soil bacteria in response to warming, with Acidobacteria, Actinobacteria, and others showing distinct responses between baseline and warmed conditions, while groups like Chlorobi and Cyanobacteria only differed significantly at higher temperature extremes. The random forests algorithm identified 14 taxa as biomarkers and a model was established to correlate <i>S. canadensis</i> invasion community soil microbiota with progressive warming. …”
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A METHODOLOGICAL APPROACH TO DESIGNING EXPERIMENTS WHEN DEALING WITH IDENTIFICATION TESTS FOR MEDICINAL PRODUCT COMPONENTS (AS ILLUSTRATED BY ASCORBIC ACID) by Yu. B. Purim, M. L. Kruglyakova, L. N. Bulanova, M. V. Agapkina, L. N. Stronova, T. N. Bokovikova, E. P. Gernikova

“…Conclusions: the analysis of the multi-component medicinal product helped to develop a methodological  approach to choosing qualitative reactions for identification testing of one of the medicinal product’s components  (e.g., ascorbic acid). The suggested algorithm includes the choice of reactions, determination of their sensitivity and applicability for a particular medicinal product, analysis of the other components’ effects on the results of the chemical reaction,  and the need for additional sample preparation.  …”
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Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…The aim was to develop a high-performing algorithm comparable to human screening. Methods We followed a three-phase process to develop and test an automated machine learning-based classifier for screening potential studies on interventions for primary prevention of cardiovascular disease. …”
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Efficacy of alpelisib with rational use of metformin in HR+/HER2- advanced breast cancer patients with <i>PIK3CA</i> mutations (m): retrospective analysis in routine practice of se... by D. A. Filonenko, R. V. Orlova, M. I. Gluzman, A. A. Vakhitova, A. Yu. Goryainova, K. S. Grechukhina, I. I. Bykonya, L. G. Zhukova

“…Pts were stratified to risk groups of HG based on the algorithm before starting ALP and received MET for prevention of HG. …”
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Risk-based Approach in Obtaining and Analysing the Characteristics of Baikal Skullcap Suspension Cultures by A. A. Shmarova, N. S. Pivovarova, O. N. Abrosimova

“…The plant's value becomes the cause of overexploitation of the skullcap subterranean parts, which leads to the reduction of the population distribution range and inappropriate conditions of collection and harvesting. …”
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Characterizing Optimum N Rate in Waterlogged Maize (<i>Zea mays</i> L.) with Unmanned Aerial Vehicle (UAV) Remote Sensing by Bhawana Acharya, Syam Dodla, Brenda Tubana, Thanos Gentimis, Fagner Rontani, Rejina Adhikari, Dulis Duron, Giulia Bortolon, Tri Setiyono

“…High soil moisture due to frequent excessive precipitation can lead to reductions in maize grain yields and increased nitrogen (N) loss. …”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…This study introduces an enhanced object detection algorithm, EIEStem-v7DS'Sample-LSCD-CA-YOLOv8n (ESLC-YOLOv8), designed for real-time pineapple detection in complex agricultural environments. …”
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Mapping and quantifying deforestation in the Zambezi ecoregion of Central-Southern Africa: extent and spatial structure by Héritier Khoji Muteya, Héritier Khoji Muteya, Dieu-donné N’tambwe Nghonda, Dieu-donné N’tambwe Nghonda, François Malaisse, Jan Bogaert, Yannick Useni Sikuzani

“…Forest cover was classified using the Random Forest algorithm, integrated with Geographic Information Systems (GIS) and landscape metrics to assess patterns of forest fragmentation and ecological transformation.ResultThe results showed a significant reduction in forest area from 2,328,377.5 km2 to 1,817,513 km2, corresponding to an annual deforestation rate of 0.95%. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…This paper focused on feature engineering instead of AI algorithm selections, presenting an approach that uniquely balances detection accuracy with computational efficiency through strategic dimensionality reduction. …”
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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…Finally, we propose an automatic grading algorithm based on the segmentation masks to provide actionable disease severity levels. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

“…This study aims to use UPD combined with an algorithm for the discrimination of arteries and veins to monitor CAR during DH-CPB in neonates. …”
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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

“…Experimental results demonstrate that YOLOv8-DML achieves a mAP50 of 96.9%, marking a 1.8% improvement over the original YOLOv8 algorithm, while also achieving an 18.6% reduction in parameters. …”
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Co-drivers of air pollutant and CO2 emissions in China from 2000 to 2020 by Wenxin Cao, Yixuan Zheng, Shaohui Zhang, Zbigniew Klimont, Xian’en Wang, Fangming Jiang, Zhulin Qi, Chuchu Chen, Yueyi Feng, Zechen Zhang, Hongkuan Zang, Yu Lei, Gang Yan

“…Energy and climate policies, particularly those focused on structural adjustments, are increasingly instrumental in driving pollution-carbon co-reduction. Compared to the earlier period, the fractional contribution of energy and climate policies to emission reductions of SO2, NO x , PM2.5, and CO2 increased by 1.3-8.6 times during 2010-2020, respectively. …”
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Hydropower system in the Yarlung-Tsangpo Grand Canyon can mitigate flood disasters caused by climate change by Fengbo Zhang, Qin Yang, Jianhua Wang, Huan Liu, Qinghui Zeng, Long Yan, Baolong Zhao, Jiaxuan Tang, Kang Zhao, Yining Zang, Wei Liu, Peng Hu

“…Hydropower development stabilizes runoff regimes, enhances flood control capacity under climate scenarios (e.g., 29.2% peak reduction under Shared Socioeconomic Pathway 126), and mitigates downstream flood risks while supporting dry-season irrigation and navigation. …”
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Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter by Ze Cheng, Jikao Lv, Yanli Liu, Zhihao Yan

“…The results show that the model can essentially predict the dynamic voltage behavior of the lithium-ion battery, and the FDEKF algorithm can maintain good accuracy in the estimation process and has strong robustness against modeling error.…”
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Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science by Uddalak Das

“…Generative artificial intelligence (AI) has emerged as a disruptive paradigm in molecular science, enabling algorithmic navigation and construction of chemical and proteomic spaces through data-driven modeling. …”
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