Integrating Large Language Models into Robotic Autonomy: A Review of Motion, Voice, and Training Pipelines by Yutong Liu, Qingquan Sun, Dhruvi Rajeshkumar Kapadia

“…We also highlight the use of physics-informed neural networks (PINNs) to model object deformation and support precision in contact-rich manipulation tasks. …”
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Implementation of NGS and SNP microarrays in routine forensic practice: opportunities and barriers by Sharlize Pedroza Matute, Sasitaran Iyavoo

“…Conversely, SNP microarrays offer a cost-effective solution for extended kinship testing, Forensic Investigative Genetic Genealogy (FIGG), and phenotypic prediction, though they are less effective with low-quality samples and DNA mixtures. Ethical, legal, and privacy concerns, particularly surrounding the use of Forensic DNA Phenotyping (FDP) and consumer genetic data in FIGG, further complicate their integration into forensic workflows. …”
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Decentralized electrochemical biosensors for biomedical applications: From lab to home by Pramod K. Kalambate, Vipin Kumar, Dhanjai

“…However, potential risks such as data security vulnerabilities, privacy concerns, and regulatory challenges must be addressed to ensure safe and ethical deployment of these technologies. …”
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Comprehensive Review and Future Research Directions on ICT Standardisation by Mohammed Najah Mahdi, Ray Walshe, Sharon Farrell, Harshvardhan J. Pandit

“…Standardisation also solves problems, such as the use of mobile devices, which requires travel abroad when out of range. …”
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Ethical and Safety Challenges of Implantable Brain-Computer Interface by Ihab Abdulrahman Satam, Róbert Szabolcsi

“…The study of brain-computer interfaces (BCIs) holds immense potential across various fields, particularly in Human-Robot Interaction, where invasive BCIs offer precise and direct communication between the human brain and robotic devices. However, the use of invasive BCIs raises significant ethical, safety, and security concerns that must be addressed to ensure their responsible deployment. …”
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Domain-Specific Modeling Language for Security Analysis of EV Charging Infrastructure by Anas Motii, Mahmoud El Hamlaoui, Robert Basmadjian

“…This interconnection raises concerns about security, privacy, and the expanding risk of cyber-attacks within the electric vehicle landscape. …”
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Beijing’s urbanization reflected in apartment layouts: a computer vision and isovist analysis (1970–2020) by Yanhua Yao, Ashutosh Kumar, Martina Mazzarello, Fábio Duarte, Lei Shao, Limin Song, Carlo Ratti

“…Our findings show a trend in the isovist intensity of living rooms, dining rooms, and kitchens, indicative of shifts toward privacy and mixed-use spaces, shaped by household occupancy patterns. …”
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Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

“…The Polivr ecosystem comprises three key modules: Polivr Anonymiser, which ensures data privacy by anonymising student identities; Polivr Core, which mines learning metrics from Git repositories; and Polivr Web Viewer, which transforms the raw metrics into insightful visualisations for educators. …”
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Evaluation of comprehensive abortion care service in University of Gondar Comprehensive Specialized Hospital in Northwest Ethiopia: mixed case study design by Birtukan Demis Getaneh, Nigusu Worku, Kaleb Assegid Demissie, Tesfahun Zemene Tafere, Melak Jejaw

“…Besides, none of the providers comply with hand washing protocols and used personal protective equipment, and there were delays in providing abortion services. …”
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Evaluation of a piloted digital reproductive health registry in Jordan to improve mother and child health by Mirwais Amiri, Majd Al-Soukhni, Manal Tahtamouni, Mohannad Al Nsour

“…Conclusion The new hRHR has a high acceptance level among stakeholders, health providers and women using MCH services. The evaluation showed that the system improved documentation of data, decreased time, and effort of data reporting and retrieval, and improved access to patient data.…”
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Developing an Ontology to Enhance Semantic Interoperability in IoT Environment by Maria Cornejo-Lupa, Ana Aguilera, Irvin Dongo

“…This study proposes the development of an enhanced ontology that integrates different ontologies in the IoT domain, including key aspects such as interoperability, security, privacy, energy efficiency, and ethics. A formal methodology for ontology design and construction was used in four phases: ontology requirements, design, construction, and evaluation. …”
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Quality of Breast Cancer Information on the Internet by African Organizations: An Appraisal by Cynthia Pomaa Akuoko

“…The identified websites were assessed using European Commission (EC) quality criteria for health-related websites, which comprises different assessment areas including, completeness, transparency and honesty, authority, privacy and data protection, updating of information, accountability, and accessibility. …”
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Making temporary homes by Marjolein Overtoom

“…The interviews were analysed with Interpretative Phenomenological Analysis, and the visual data (photos made by the interviewees and sometimes the researcher, and drawings made by the researcher) was used to place the content of the interviews in a physical context. …”
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Web 3.0: The future of the decentralized Internet by Božić Tamara

“…Decentralization plays an important role in transferring power from providers to users, protecting privacy and regaining control over their information and data. …”
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Perspectives of stakeholders on enhancing access to self-injectable contraception in rural South Sudan by Grace W. Kimemia, Mamothena Carol Mothupi, Lual Agok Luka, Teresia Macharia, Sidonia Akon, Alom Atak Ayom, Lual James Baak, Amijong Deng, Kadra Noor, Taban John Mark, Naoko Kozuki

“…Abstract Background Although self-injectable subcutaneous depot medroxyprogesterone acetate (DMPA-SC) has demonstrated promise, there are significant barriers in promoting initiation and continued use in low-resource settings. This study sought to understand the perspectives of stakeholders on promotion of self-injectable contraception use in rural South Sudan. …”
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A STUDY OF PEOPLE’S PERCEPTION OF ARTIFICIAL INTELLIGENCE IN FINANCE AND SOCIETY by Dan MITRA, Ioana-Florina COITA

“…This paper investigates how people perceive artificial intelligence (AI), using both original survey data and insights from recent academic and policy literature. …”
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AI in humanitarian healthcare: a game changer for crisis response by Diala Haykal, Mohamad Goldust, Hugues Cartier, Patrick Treacy

“…Ethical concerns such as data privacy, bias, and access inequities remain critical to responsible deployment. …”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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Student attendance and evaluation system : A review by Sura Falih, Yaseen Ismael

“…Previous studies have explored a variety of approaches and techniques to achieve these goals, such as using RFID for automatic attendance recording, Arduino systems for automated testing, and machine learning algorithms for analyzing academic performance. …”
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Cooperative inference analysis based on DNN convolutional kernel partitioning by Jialin ZHI, Yinglei TENG, Xinyang ZHANG, Tao NIU, Mei SONG

“…With the popularity of intelligent chip in the application of edge terminal devices, a large number of AI applications will be deployed on the edge of networks closer to data sources in the future.The method based on DNN partition can realize deep learning model training and deployment on resource-constrained terminal devices, and solve the bottleneck problem of edge AI computing ability.Thekernel based partition method (KPM) was proposed as a new scheme on the basis of traditional workload based partition method (WPM).The quantitative analysis of inference performance was carried out from three aspects of computation FLOPS, memory consumption and communication cost respectively, and the qualitative analysis of the above two schemes was carried out from the perspective of flexibility, robustness and privacy of inference process.Finally, a software and hardware experimental platform was built, and AlexNet and VGG11 networks were implemented using PyTorch to further verify the performance advantages of the proposed scheme in terms of delay and energy consumption.It was concluded that, compared with the WPM scheme, the KPM scheme had better DNN reasoning acceleration effect in large-scale computing scenarios.And it has lower memory usage and energy consumption.…”
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