Enhancement of Corn Flour with Carob Bean for Innovative Gluten-Free Extruded Products by Marta Igual, Rosa M. Cámara, Francesca Fortuna, Patricia García-Herrera, Mercedes M. Pedrosa, Purificación García-Segovia, Javier Martínez-Monzó, Montaña Cámara

“…The aim of this work is to study new, extruded products based on corn flour enriched with carob bean and the evaluation of its functional quality to develop novel gluten-free food products. …”
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A Novel Liquid Chromatographic Time-of-Flight Tandem Mass Spectrometric Method for the Determination of Secondary Metabolites in Functional Flours Produced from Grape Seed and Oliv... by Achilleas Panagiotis Zalidis, Natasa P. Kalogiouri, Ioannis Mourtzinos, Dimitris Sarris, Konstantinos Gkatzionis

“…Grape seed and olive stone flours from Lemnos and commercial sources were analyzed employing target, suspect, and non-target screening. …”
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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

“…Future research will integrate functionalities like pedestrian detection and vehicle tracking to further enhance smart transportation systems. …”
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Algorithms to Identify Copied and Manipulated Spectrum Occupancy Data in Cognitive Radio Networks by Joseph Tolley, Carl B. Dietrich

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…The incorporation of the Adown module, GMA attention mechanism, and WIoUv3 loss function effectively reduced the model's parameters and computational complexity, while significantly improving the accuracy and robustness of levee crack detection. …”
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COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case by Anastasios E. Giannopoulos, Sotirios T. Spantideas, George Levis, Alexandros S. Kalafatelis, Panagiotis Trakadas

“…While this study considers power control xApps, the COMIX framework is generalizable and can be applied to any xApp conflict scenario involving resource contention or KPI interdependence.…”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…Unlike prior studies that rely on single data sources or unidimensional metrics, our multi-source approach enhances spatiotemporal resolution, improves the accuracy of subjective perceptions, and enables cross-validation between objective behavioral trajectories and residents’ self-reports, thereby significantly strengthening the comprehensiveness and reliability of community vitality measurement. …”
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Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

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Vibrational Properties of Sundatang Soundboard by Ronald Yusri BATAHONG, Jedol DAYOU, Semyung WANG, Jongsuh LEE

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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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Molecular signature of selective microRNAs in Cyprinus carpio (Linnaeus 1758):a computational approach by Soumendu Ghosh, Manojit Bhattacharya, Avijit Kar, Basanta Kumar Das, Bidhan Chandra Patra

“…Their conserved nature in various organisms provide a good source of miRNA identification and characterization using comparative genomic approaches through the bio-computational tools. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…The construction of multi-source data fusion frameworks enables effective complementarity between ETC data, floating car data, and video detection data, significantly improving traffic state estimation accuracy. …”
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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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