Prevalence of adolescent dual tobacco use and its associated factors: findings from a cross-sectional study by Mohd Firdaus Razali, Mohd Ruhaizie Riyadzi, Hamizatul Akmal Abd Hamid, Khaw Wan-Fei, Ummi Nadiah Yusoff

“…Objective To determine the prevalence and its associated factors of dual tobacco use among Malaysian adolescents in developing effective public health strategies.Design Cross-sectional study.Setting This study analysed data from the National Health and Morbidity Survey (NHMS) 2022: Adolescent Health Survey (AHS), a nationwide cross-sectional survey conducted among secondary school students across Malaysia.Participants This cross-sectional study used data from the NHMS 2022: AHS, which included a representative national sample of Malaysian adolescents between the ages of 13 and 17. …”
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SMS spam detection using BERT and multi-graph convolutional networks by Linjie Shen, Yanbin Wang, Zhao Li, Wenrui Ma

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Health Care Professionals’ Use of Digital Technology in the Secondary Prevention of Cardiovascular Disease in Austria: Online Survey Study by Luisa Lunz, Sabine Würth, Stefan Tino Kulnik

“…Quantitative survey data were analyzed using descriptive statistics, group comparison tests, and association statistics. …”
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A content review of COVID-19-related apps used in Vietnam by Linh Tran, Federica Cucé, Nguyen Thanh An, Kadek Agus Surya Dila, Nguyen Hai Nam, Doan Le Nguyet Cat, Lee Wei Jun, Farrukh Ansar, Fatima Abdallh, Au Vo, Nguyen Tien Huy

“…The most serious user concerns were privacy breaches during data recording and storage, technical issues, and non-user-friendly interfaces. …”
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Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization by Mohamed Abd Elaziz, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Ibrahim A. Fares, Abdelghani Dahou, Mansour Shrahili

“…The goal of the developed framework is to improve the detection of IDS without using centralized data to preserve privacy. Whereas it enhances the processing and detection capability of huge amounts of data generated from IoT devices. …”
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Some ethical and technological challenges of smart cities by Brian G. Field

“…The moral dilemma and important ethical questions resulting from the use of big data to scrutinise and profile individuals and communities, compromising their privacy and anonymity without their knowledge or consent, cannot be underestimated and appears beyond the control of prevailing data protection protocols.…”
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Integrating multi-modal learning analytics dashboard in K-12 education: insights for enhancing orchestration and teacher decision-making by Isabella Possaghi, Boban Vesin, Feiran Zhang, Kshitij Sharma, Cecilie Knudsen, Håkon Bjørkum, Sofia Papavlasopoulou

“…Further research should investigate students’ responses more closely and further develop strategies for the responsible, explainable, and unbiased use of student affective data in real classrooms.…”
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Advancing cloud security: Unveiling the protective potential of homomorphic secret sharing in secure cloud computing by Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Ming Lee Gan, Chen Kang Lee

“…Cloud computing security and data protection are becoming increasingly critical as its use increases. …”
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KRID: A Large-Scale Nationwide Korean Road Infrastructure Dataset for Comprehensive Road Facility Recognition by Hyeongbok Kim, Eunbi Kim, Sanghoon Ahn, Beomjin Kim, Sung Jin Kim, Tae Kyung Sung, Lingling Zhao, Xiaohong Su, Gilmu Dong

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Building occupancy estimation using single channel CW radar and deep learning by Sourav Kumar Pramanik, Md. Shafkat Hossain, Shekh Md. Mahmudul Islam

“…Unlike previous studies that rely on WiFi or PIR-based sensors, this approach provides a robust alternative without privacy concerns. The time-frequency scalograms generated from radar echoes were used to train deep-learning models, including DarkNet19, MobileNetV2, and ResNet18. …”
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Blockchain framework with IoT device using federated learning for sustainable healthcare systems by B. Bhasker, P. Muralidhara Rao, P. Saraswathi, S. Gopal Krishna Patro, Javed Khan Bhutto, Saiful Islam, Mohammed Kareemullah, Addisu Frinjo Emma

“…The proposed method achieves data privacy and security by 98.73%, intrusion detection efficiency by 97.16%, disease detection accuracy by 96.425, proactive healthcare management by 98.37%, and interoperability by 96.74%.…”
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Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…Advances in sensing accuracy and utility design in wearables might make this feasible; however, real-world adoption faces challenges, as users often fail to wear or use these devices consistently and correctly. Additionally, institutional monitoring raises privacy concerns.MethodsIn this study, we analyze real-world data from a cohort of 103 Japanese university students to identify periods of cyclical stress while ensuring individual privacy through aggregation. …”
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Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

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Comparative effectiveness of maintenance doses of opioid agonist treatment among individuals with opioid use disorder: a target trial emulation protocol using a population-based ob... by M Eugenia Socías, Fahmida Homayra, Bohdan Nosyk, Jeong Eun Min, Julie Bruneau, Nikki Bozinoff, Shaun Seaman, P Todd Korthuis, Paxton Bach, Ehsan Karim, Michelle Zanette, Mary Clare Kennedy

“…All data are deidentified, securely stored and accessed in accordance with provincial privacy regulations. …”
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Algorithmic fandom: how generative AI is reshaping sports marketing, fan engagement, and the integrity of sport by Hans Westerbeek

“…The integration of AI in gambling platforms and the commercialisation of fan data raise significant concerns around privacy, consent, and long-term wellbeing. …”
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FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking by Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, Kashif Nisar

“…Federated Learning offers a promising approach for building Cyber Threat Intelligence (CTI) by utilizing cross-domain data in Software Defined Networking (SDN) while addressing privacy concerns. …”
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Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning by LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng

“…Federated learning achieves joint training modeling of fault data from various factories while protecting privacy. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…With the rapid development of information technology, the demand for ensuring data security and privacy protection has become increasingly urgent. …”
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Using social presence theory to predict online consumer engagement in the emerging markets by Abraham Yeboah, Ofosu Agyekum, Vida Owusu-Prempeh, Kwadwo Boateng Prempeh

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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…Unlike fingerprint and facial recognition systems, they offer authentication without physical contact or privacy concerns. This study focuses on non-contact seismocardiography using microwave Doppler sensors and aims to apply this technology for biometric authentication.MethodWe proposed a method for authenticating and identifying heartbeat signals through supervised learning using a conditional variational autoencoder (CVAE). …”
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