Transitioning from a Multi-Agency to an Integrated Food Control System: A Case Study from the Sultanate of Oman by Moza Abdullah Al Busaidi, Mohammad Shafiur Rahman, Hussein Samh Al Masroori

“…Food safety regulations and their implementations are becoming increasingly complex due to various reasons such as diverse food sources, supply chain, processing technologies, distribution systems and environmental concerns. …”
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Exploring Edible Insects: From Sustainable Nutrition to Pasta and Noodle Applications—A Critical Review by Carlos Gabriel Arp, Gabriella Pasini

“…However, adding new ingredients to enrich common foods often carries technological and sensory challenges, such as changes in processing parameters, texture, flavor, and appearance. …”
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POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…Computational offloading is a productive technique to overcome mobile battery life issues by processing a few parts of the mobile application on the cloud. …”
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Medical short text classification via Soft Prompt-tuning by Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang

“…Inspired by the recent success of prompt- tuning, which has been extensively explored to enhance semantic modeling in various natural language processing tasks with the appearance of GPT-3, our method incorporates an automatic template generation method to address the issues related to short length and feature sparsity. …”
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Multi-Band Differential SAR Interferometry for Snow Water Equivalent Retrieval over Alpine Mountains by Fabio Bovenga, Antonella Belmonte, Alberto Refice, Ilenia Argentiero

“…This study addresses these issues and explores the use of multi-band SAR data to derive SWE maps in alpine regions characterized by steep terrain, small spatial extent, and a potentially heterogeneous snowpack. …”
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Navigating a New Terrain: Exploring the Challenges Confronting Lesotho’s Novice Secondary School Principals by Sepiriti Sepiriti, Kelello Alicia Rakolobe, Tebello Tlali

“…The study recommends prompt processing and issuing of appointment letters and aligned salaries, induction of novice principals, training of school boards and transfer of demoted principals. …”
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Development of software interface for AI-driven weed control in robotic vehicles, with time-based evaluation in indoor and field settings by G C Sunil, Arjun Upadhyay, Xin Sun

“…However, their repetitive use also has caused several negative issues on the environment and human health. To overcome these negative issues precision site-specific weed control can be used to reduce the herbicide application by targeted application on only weed areas. …”
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Modeling Political Discourse in Indonesia’s 2024 Election Using Unsupervised Machine Learning by Malikhatul Ibriza, Maya Rini Handayani, Wenty Dwi Yuniarti, Khothibul Umam

“…The analysis identified three primary clusters electoral technical issues, candidate figures, and official agendas yielding a Silhouette Score of 0.51 (a clustering quality metric) and a top topic coherence score of 0.51. …”
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Prevention of Food Waste in China: Role and Impact of China’s Anti-Food Waste Law by Shenghang Wang, Dongxu Liu, Jiping Sheng

“…China’s Ministry of Agriculture and Rural Affairs reports that China’s food loss and waste rate is approximately 22.7%, amounting to 460 million tons annually, with the consumption and post-harvest processing stages facing the highest losses. To address these issues, China enacted the Anti-Food Waste Law in 2021, aiming to reduce food waste through clear responsibilities, incentives, and penalties for government agencies and relevant stakeholders. …”
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Public Procurement, a Tool for Achieving the Goals of Sustainable Development by Otilia Manta, Mirela Panait, Eglantina Hysa, Elena Rusu, Maria Cojocaru

“…In order to clarify this issue, the national laws of the countries reporting to the World Bank on public procurement issues have been mapped, the opinions of other researchers have been systematized, as well as relevant studies of international organizations (OECD, European Commission, UNESCO, World Bank). …”
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Evaluation of Semi-supervised Semantic Segmentation for Remote Sensing, Medical Imaging, and Machine Vision Settings by S. Landgraf, J. Huber, M. Hillemann, M. Ulrich

“…Semi-supervised semantic segmentation (S⁴) has garnered significant attention in recent years due to the time-consuming and costly process of creating pixel-level annotations. Instead of only relying on labeled data, semi-supervised approaches leverage both labeled and unlabeled data to mitigate the issue of the labor-intense annotation process. …”
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Improving MRAM Performance with Sparse Modulation and Hamming Error Correction by Nam Le, Thien An Nguyen, Jong-Ho Lee, Jaejin Lee

“…During the encoding process, three check bits are appended to the user data and processed using a generator matrix. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…Abstract The growth of IoT networks has led to significant security issues, especially in areas of real-time threat detection and response. …”
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Integrating Blockchains with the IoT: A Review of Architectures and Marine Use Cases by Andreas Polyvios Delladetsimas, Stamatis Papangelou, Elias Iosif, George Giaglis

“…Enhancing BIoT systems requires a strategic selection of computing paradigms, such as edge and fog computing, and lightweight nodes to reduce latency and improve data processing in resource-limited settings. While a blockchain can improve data integrity and security, it can also introduce complexities, including interoperability issues, high energy consumption, standardization challenges, and costly transitions from legacy systems. …”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. …”
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Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review by Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, S. Ananda Theertan

“…Also, three current research issues in the field of DM detection and diagnosis and self-management and personalization are listed. …”
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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…In areas like computer vision, data augmentation has been widely used and highly effective in addressing similar issues. However, these techniques are not as commonly explored or applied in the time series domain. …”
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A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services by charu awasthi, Satya Prakash, Prashant Kumar Mishra

“…Because of its real-time processing and event reactions, it is ideal for healthcare. …”
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Quick Compression and Transmission of Meteorological Big Data in Complicated Visualization Systems by He-Ping Yang, Ying-Rui Sun, Nan Chen, Xiao-Wei Jiang, Jing-Hua Chen, Ming Yang, Qi Wang, Zi-Mo Huo, Ming-Nong Feng

“…The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system (WebGIS)-based data compression, transmission, and rendering for rich Internet applications (RIAs) in complicated visualization systems. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…This hardware implementation gives an iris localization accuracy of 98.43% and average processing time of 5.148 ms for UBIRIS.v1 VW database images (200 × 150 pixel). …”
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