Green synthesis of self-oriented flower-like Ag@Ag2O nanostructures functionalized with L-Tryptophan for colorimetric simultaneous determination of ultra-trace level of thiamin and... by Maryam Abbasi Tarighat, Zahra Khosravani, Gholamreza Abdi

“…Abstract The study focuses on the green synthesis of Ag@Ag2O nanostructures using Padina algae extract and functionalizing them with L-tryptophan to enhance their properties as a colorimetric sensor for simultaneous detection of ultra-trace levels of thiamin and riboflavin. …”
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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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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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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

“…This is due to the complex background of the lapping pad's surface images and unclear contrast between abrasive particles, pores, and binders, which can cause some missed or false detections when using this method. For successfully identified diamond abrasive grain and pore targets, the segmentation area accuracies are 89.9% and 95.3%, respectively, indicating small differences between segmented abrasive areas and actual areas, with a high degree of agreement, and good classification and segmentation performance by the model. …”
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Miniaturized Optical Glucose Sensor Using 1600–1700 nm Near‐Infrared Light by Mingjie Yang, Shanmuga Sundar Dhanabalan, Md Rokunuzzaman Robel, Litty Varghese Thekkekara, Sanje Mahasivam, Md Ataur Rahman, Sagar Borkhatariya, Suvankar Sen, Sumeet Walia, Sharath Sriram, Madhu Bhaskaran

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LUCID: A Framework for Reducing False Positives and Inconsistencies Among Container Scanning Tools by Md Sadun Haq, Ali Saman Tosun, Turgay Korkmaz

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Probe-screened carbon nanotube field-effect transistor biosensor to enhance breast cancer-related gene assay by Pei Liu, Yiwei Liu, Bingjie Cai, Jiahao Li, Guo-Jun Zhang

“…The PNA-functionalized FG CNT-FET sensor stood out with an excellent sensitivity (LOD: 1.38 aM) and good specificity. …”
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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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Advanced screen-printed electrode functionalized ZnO/CNTs for the electrochemical analysis of opioid drug pethidine co administered with paracetamol: application in dosage form and... by Shimaa A. Atty, Ahmed M. Abdelzaher, Sona Barghash, Mona A. Abdel Rahman

“…Furthermore, it enabled the simultaneous detection of pethidine and paracetamol in biological samples, with low detection limits of 980 pmol L⁻1 and 977 pmol L⁻1 for PTD and PCM, respectively. …”
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Nitrogen-Doped Carbon Dots as a Fluorescent “Off–On” Probe for Selective Ascorbic Acid Detection via H₂O₂-Mediated Quenching by Jingjing Jia, Xue Liu, Wenjing Wang

“…The presence of pyridinic N, pyrrolic N, graphitic N, and amino N functionalities on the NCDs’ surface provided strong evidence for the successful nitrogen doping of the carbon dots. …”
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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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Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…Membership functions for severe MCA are formed, followed by their iteration according to E. …”
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Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…The interpolation collision detection method is used to determine the shortest path while considering constraint conditions. …”
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Comprehensive evaluation of the response relationship between meteorological drought and hydrological drought in the Yalong River Basin, China by Yunliang Wen, Ling Kang, Liwei Zhou, Wufeng Liao, Xuye Guo

“…The results showed that: (1) The smaller the scale of SPEI and SRI, the more sensitive the identification of drought and the faster the detection of drought trend changes. (2) Combined with small-scale drought index analyses, the trend and severity of meteorological and hydrological droughts propagating from the upper and middle reaches to the lower reaches is increasing from year to year. (3) The Gumbel-Hougaard Copula function reveals the relationship between meteorological and hydrological drought, with the longest joint return period of 13–15 months. (4) In cloud model risk evaluation, the degree, uncertainty and stochasticity of drought risk in the basin are increasing, and the risk degree of interannual meteorological and seasonal hydrological droughts in the basin was high. …”
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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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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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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

“…Central to its architecture are xApps hosted on the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), which optimize network functions in real time. However, the concurrent operation of multiple xApps with conflicting objectives can lead to suboptimal performance. …”
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Assessment of the Integrated Communicable Disease Surveillance and Response System in Thamar Governorate, Yemen by Basem F. Abdel-Aziz, Saddam A.H. Al-Nahari, Ali A. Al-Waleedi, Shymaa M. Elshoura

“…The questionnaire included two sections: assessment of core activities of the IDSR system (structure, case confirmation, data reporting, data analysis, outbreak investigation, epidemic preparedness, epidemic responses, feedback) and assessment of support functions of the IDSR system (supervision, training, coordination, logistics and resources). …”

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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