Clothes consumption and disposal practices: a look at the profile of Brazilian apparel consumers by Rimena Canuto Oliveira, Irenilza de Alencar Nääs, Solimar Garcia

“…Only four attributes were chosen by the algorithm to build the trees (age, annual income, yearly spending on clothes and how long the clothes are worn). …”
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A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT by Zhong Li, Huimin Zhuang

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Ecological Identity and Social Representation of Green MSMEs: Ergo-Iconic Value, Performativity, and Representational Resistance in the Platform Economy by Andriyansah Andriyansah

“…The findings reveal three dominant patterns: (1) the symbolization of ergo-iconic value, combining tangible ecological practices with aesthetic visualizations as symbolic capital; (2) performative and algorithm-driven sustainability, where content is crafted to attract visibility within a competitive platform ecosystem; and (3) representational resistance, where certain MSMEs choose to highlight complex ecological processes that may not be “Instagrammable” but are instead educational and contextually grounded. …”
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The Spatial and Dynamic Monitoring in Ensuring the Management of Energy Security of Enterprises by Budanov Mykola P.

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COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS by A. V. Khizhniak

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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

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Advances in authentication and security protocols for 5G networks: a comprehensive survey by Sunil Kumar Patel, Satya Bhushan Verma, Bineet Kumar Gupta, Shubham Singh, E. Naresh, Piyush Kumar Pareek

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Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal st... by Gege Zhang, Sijie Dong, Li Wang

“…LASSO regression was used to screen for risk factors, and three machine learning algorithms—logistic regression (LR), random forest (RF), and XGBoost—were employed to build predictive models. …”
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Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

“…AI can enhance dental education and training of new dental professionals through simulation-based education and intelligent tutoring systems. …”
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RFID-embedded mattress for sleep disorder detection for athletes in sports psychology by Metin Pekgor, Aydolu Algin, Turhan Toros

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AI and the News: Challenges Arisen From the Adoption of AI in News Production by George Pleios, Michalis Tastsoglou

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Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

“…Ethical concerns, including algorithmic bias, data ownership, and the labor market impact of AI, are addressed to offer a more holistic understanding of resistance behavior. …”
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Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths by Rabia Shahid, Tara Swami, Ali Shams, Matthew Mittelstadt, Catherine Guenther, Tiffanie Tse, Hifsa Noor

“…Data were collected 24 weeks pre-EWS and 55 weeks post-EWS implementation. …”
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Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review by Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez

“…To address this complex issue, educational institutions increasingly rely on business intelligence (BI) and related predictive analytics, such as machine learning and data mining techniques. …”
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Robust Color Image Encryption Scheme Based on RSA via DCT by Using an Advanced Logic Design Approach by Khalid Kadhim Jabbar, Fahmi Ghozzi, Ahmed Fakhfakh

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Future impacts of artificial intelligence technologies in graphic design by Hussein Nasser Ibrahim Saleh Al-Dulaimi

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Incel dan Konstruksi Gender dalam Interseksi Marginalisasi dan Ekspresi Radikal di X by Teguh Agum Pratama, Kevin Rasyid Sabili Nasution

“…The findings indicate the algorithms facilitate the radicalization of masculine identity and amplify radical expressions, underscoring the need for intervention through education and responsible social media regulation. …”
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Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions by Jerlyn Q.H. Ho, Andree Hartanto, Andrew Koh, Nadyanna M. Majeed

“…This paper explores how AI systems and chatbots, notably ChatGPT, can perpetuate gender biases due to inherent flaws in training data, algorithms, and user feedback loops. This problem stems from several sources, including biased training datasets, algorithmic design choices, and human biases. …”
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Leveraging machine learning in nursing: innovations, challenges, and ethical insights by Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam

“…However, key challenges include ethical considerations, such as data privacy, algorithmic bias, and patient autonomy, which necessitate ongoing research and regulatory oversight.ConclusionsML in nursing offers transformative potential across patient care, education, and operational efficiency, which is balanced by significant challenges and ethical considerations. …”
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Research on P2P streaming media identification based on UDP by Shi DONG, Gang WANG

“…Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.…”
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