Assessment of genetically modified maize Bt11 × MIR162 × MIR604 × MON 89034 × 5307 × GA21 and 30 subcombinations, for food and feed uses, under Regulation (EC) No 1829/2003 (applic... by EFSA Panel on Genetically Modified Organisms (GMO Panel), Ewen Mullins, Jean‐Louis Bresson, Tamas Dalmay, Ian Crawford Dewhurst, Michelle M Epstein, Leslie George Firbank, Philippe Guerche, Jan Hejatko, Francisco Javier Moreno, Hanspeter Naegeli, Fabien Nogué, Nils Rostoks, Jose Juan Sánchez Serrano, Giovanni Savoini, Eve Veromann, Fabio Veronesi, Michele Ardizzone, Giacomo De Sanctis, Silvia Federici, Antonio Fernandez, Andrea Gennaro, José Ángel Gómez Ruiz, Tilemachos Goumperis, Dafni Maria Kagkli, Paolo Lenzi, Ana M Camargo, Franco Maria Neri, Tommaso Raffaello

“…The GMO Panel concludes that six‐event stack maize, as described in this application, is as safe as the conventional counterpart and non‐GM maize varieties tested, and no post‐market monitoring of food/feed is considered necessary. …”
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An overview of AI in Biofunctional Materials by Dazhou Li

“…Despite remaining challenges in data quality and regulatory alignment, these advances underscore AI’s capacity to deliver high-performance, sustainable biomaterials and point toward an interdisciplinary roadmap for next-generation therapeutic solutions.…”
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ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

“…The work employs Gradient Boosting, Random Forest, and Neural Network classifiers alongside a meta-model that improves the performance of learning models among them. Data enhancements that were used in the models include data normalization and feature selection in a bid to enhance the accuracy of the model’s predictions. …”
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How to Analyze and Enhance Participation in Electronic Networks of Practice by Charkhsaz Fatemeh, Isaai Mohammad Taghi, Dayani Malihe

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Statistic tells: the regulatory pendulum of permit trajectories in China’s genetic governance (2021-2024) by Lingqiao Song, Lingqiao Song, Zhenyu Liu, Fanlin Meng

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A benchmark dataset and methodology for fine grained vehicle make and model classification by Sobia Hayee, Fawad Hussain, Muhammad Haroon Yousaf, Muhammad Haroon Yousaf, Muhammad Yasir, Shahzor Ahmad, Serestina Viriri

“…Our best-performing model achieves an accuracy of 97.3%, demonstrating the potential of the data set to advance ITS applications.…”
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A New ground open water detection scheme using Sentinel-1 SAR images by Songxin Tan

“…The proposed scheme consists of three steps: 1) developing a modified speckle filter to reduce speckle noise while preserving image details, 2) characterizing the data for water and nonwater sites and providing parameter estimation using the Method of log-cumulants (MoLC) with generalized Gamma distribution (GΓD), and 3) applying Markov random field (MRF) for SAR data classification. …”
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Reliable, Energy-Optimized, and Void-Aware (REOVA), Routing Protocol with Strategic Deployment in Mobile Underwater Acoustic Communications by Muhammad Umar Khan, Muhammad Aamir, Pablo Otero

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A Digital Signal Processing-Based Multi-Channel Acoustic Emission Acquisition System with a Simplified Analog Front-End by Gan Tang

“…This allows for real-time or post-processing filtering with adjustable parameters, enhancing flexibility in data analysis. The system supports 8-channel synchronous sampling at 1.25 MS/s, and performance evaluations demonstrate a dynamic range of 79.22 dB and a signal-to-noise ratio (SNR) of 85.39 dB. …”
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DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework by Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze

“…Generally, the findings highlight DecoStrat’s potential for optimizing decoding methods in diverse real-world applications.…”
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Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks by Shamma Alshebli, Hyeran Mun, Deepak Puthal, Mohamed Jamal Zemerly, Luigi Martino, Ernesto Damiani, Chan Yeob Yeun

“…With the widespread adoption of smartphones over the past decade, mobile applications have become a primary target for malicious attacks, usually in the form of malware. …”
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Towards zero-shot learning in 3D change detection: improving generalization with custom augmentations and evaluation by Riccardo Contu, Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane

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Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

“…The fusion methodology significantly improves the effectiveness of probing TWS changes globally and regionally, helping to provide a valuable basic dataset for future exploration of related environmental changes and water resources management based on reliable data.…”
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An energy-efficient routing protocol for wireless body area networks using hybrid artificial bee colony optimization and chicken swarm optimization algorithm by A. Dinesh, J. Rangaraj

“…Abstract Wireless body area networks (WBANs) have evolved into effective options for various sports, military, and healthcare applications. Most of the research proposed looking at effective data collection from individuals and conventional WBANs. …”
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Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style by Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao

“…The model can efficiently integrate learners' behavioral data and cognitive styles, adjust learning paths in real-time, and demonstrate rapid response and optimization capabilities in practical applications.…”
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A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements by Masrur Ahmed, Jing Kong, Ningbo Jiang, Hiep Nguyen Duc, Praveen Puppala, Merched Azzi, Matthew Riley, Xavier Barthelemy

“…The BaySurcls model corrects the PAS2.5 data for both collocated and noncollocated monitoring scenarios. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla Ehsanul Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury

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Impact of a Digital Platform for Wildlife Information Management in the Cerro Blanco Protected Forest of Guayaquil Using Plithogenic Statistics by Sonia Jacqueline Tigua Moreira, Edison Luis Cruz Navarrete, Diana Lucia Tigua Moreira, Pedro Manuel García Arias

“…Comprehensive digital resources are needed to improve data accessibility for informed decision-making regarding conservation activities. …”
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Pattern recognition of operational states leading to N2O-emissions in full-scale biological wastewater treatment by Andreas Froemelt, Leon Zueger, Luzia von Kaenel, Daniel Braun, Wenzel Gruber

“…Facing such complex interactions and unknown relationships, data mining can provide useful support to analyze full-scale datasets. …”
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Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection by Tung-Lung Wu

“…Aggregation strategies—maximum-, average-, and percentile-based for the mean problem and minimum and average <i>p</i>-values for the covariance problem—are developed to further stabilize performance across repeated projections. An application to gene expression data is provided to illustrate the method. …”
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