Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…In the data preprocessing stage, the MCODBC-HDDC model employs Z-score normalization to standardize the data and improve performance. …”
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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

“…We collected literature from the Google Scholar and Scopus databases using a comprehensive search strategy, incorporating keywords such as “business intelligence”, “machine learning”, and “big data”. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…This paper compiles numerous industrial use cases, from bridges and tunnels to plants and power facilities, demonstrating significant improvements in inspection efficiency, data quality, and worker safety. …”
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Lived experiences of women with spontaneous abortion at a district hospital, South Africa by Marshall Lockett, Robert J. Mash

“…Atlas-ti (version 22) software assisted with data analysis using the framework method. Results: A total of nine participants were interviewed. …”
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A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy by Sherly A, Mary Subaja Christo, Jesi V Elizabeth

“…With the increasing volume of data generated by IoT devices, performing analytics at the edge offers significant advantages in terms of latency, bandwidth consumption, and privacy. …”
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Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…The obtained raw data is pre-processed by using handling missing values and adaptive min-max normalization. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…This approach utilizes machine learning techniques and intense learning to identify and mitigate cyber threats. The use of Convolutional Neural Network (CNN) in classifying the IoT-23 dataset with the SMOTE (Synthetic Minority Oversampling Technique) data balancing technique and the Early Stopping function shows high results. …”
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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

“…IoT devices are adopted for sensing and data acquisition, adaptive learning for decision-making, and optimization of energy use among the agents in the system through metaheuristic algorithms. …”
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LITERATURE REVIEW ON THE DOUBLE-EDGED SWORD OF AI IN MENTAL HEALTH: A DEEP DIVE INTO CHATGPT'S CAPABILITIES AND LIMITATIONS by Paul Arjanto, Feibry Feronika Wiwenly Senduk

“…Key ethical concerns include data privacy and accountability. Conclusion: The study recommends a balanced approach, suggesting ChatGPT as an adjunct rather than a replacement for conventional mental health services. …”
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Electronic health record in military healthcare systems: A systematic review. by Amir Torab-Miandoab, Mahdi Basiri, Arasb Dabbagh-Moghaddam, Leila Gholamhosseini

“…Current literature on EHR use in military healthcare is lacking and disjointed. …”
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BSVA: blockchain-enabled secured vertical aggregation algorithm for transactions management in drug traceability framework by P. Bhuvaneshwari, Y. Harold Robinson, M. Bagya Lakshmi

“…The Certificate Authority is used to maintain a secure data-sharing process. The robust aggregation is used for the local models to process the chain code, ensuring the successful execution of the secured transaction. …”
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Investigating the Applications and Challenges of Metaverse in Education: A Systematic Review by Asadollah Khadivi

“…The research findings indicate that remote learning, immersion learning, collaborative learning, personalized learning, flipped learning, student-centered learning, experiential learning, hybrid learning, mobile learning, simulated learning, skill-based learning and Borderless and question-based learning are the most common uses of metaverse in education. However, the metaverse is associated with technical, ethical and social challenges such as the nascent nature of the technology, high cost of equipment, weak support infrastructure, inaccessibility to everyone, violation of privacy, data and network security, lack of legal guidelines and regulations. …”
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Revolutionizing e-health: the transformative role of AI-powered hybrid chatbots in healthcare solutions by Jack Ng Kok Wah

“…After screening 116 studies, 29 met the criteria for inclusion. Data was extracted using a structured template, capturing study objectives, methodologies, findings, and challenges. …”
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Pengaruh E-Payment Trust terhadap Minat Transaksi pada E-Marketplace Menggunakan Framework Technology Acceptance Model (TAM) 3 by Merryana Lestari, Hindriyanto Dwi Purnomo, Irwan Sembiring

“…Often users have their own concerns in making payment transactions using e-Payment, one of the most basic concerns is about guaranteeing data security integrity and customer data privacy. …”
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Nurturing Sustainability in Toddlerhood: Investigating Preschool Teachers’ Views and Daily Practices in a Swedish Preschool by Deniz Kahriman-Pamuk, Ingrid Pramling Samuelsson

“…Methods: We employed a case study approach, incorporating observations, interviews, and document analysis for data collection. Qualitative techniques were used for data analysis. …”
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Artificial intelligence optimizes the standardized diagnosis and treatment of chronic sinusitis by Yang-Yang Liu, Shao-Peng Jiang, Ying-Bin Wang

“…There may also be data privacy issues involved. Therefore, more research and improvements are needed to realise the full potential of AI in the diagnosis and treatment of CRS.ConclusionOur findings inform the clinical diagnosis and treatment of CRS and the development of AI-assisted clinical diagnosis and treatment systems. …”
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Barriers to Institutional Childbirth in Rumbek North County, South Sudan: A Qualitative Study. by Calistus Wilunda, Chiara Scanagatta, Giovanni Putoto, Risa Takahashi, Francesca Montalbetti, Giulia Segafredo, Ana Pilar Betrán

“…Data were analysed using inductive content analysis.…”
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Level of satisfaction and associated factors among patients attending outpatient departments of south Wollo health facilities, Ethiopia. by Wolde Melese Ayele, Abdurahman Ewunetu, Muluken Genetu Chanie

“…A multistage sampling technique was used to select participants. Data were collected an interviewer-administered structured validated questionnaire. …”
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Improving the Accuracy of mmWave Radar for Ethical Patient Monitoring in Mental Health Settings by Colm Dowling, Hadi Larijani, Mike Mannion, Matt Marais, Simon Black

“…Our solution uses an unscented Kalman filter for target tracking over time and analyses features of movement to determine whether targets are human or not. …”
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Descriptive Phenomenology from Instances of Dishonesty in Psychotherapy by Psychotherapists by Hossein Alipour, Mahdi Akbari

“…A total of 16 psychotherapists constituted the sample for this research, and data were collected using a five-axis semi-structured interview protocol focused on psychotherapy dishonesty. …”
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