Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…These models utilize numerous technologies and sensors to monitor day-to-day work like movement, medication adherence, and sleep patterns, and provide valued perceptions of the user’s everyday life and entire health. Internet of Things (IoT) based health systems have an important part in medical assistance and help in enhancing data processing and its prediction. …”
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A hybrid attention-based deep learning framework for precise early diagnosis of Alzheimer’s disease by Romoke Grace Akindele, Shixin Cen, Ming Yu, Ifeoluwapo Aribilola, Tian Xinrang, Yu Liu

“…Early diagnosis of AD is crucial for improving treatment outcomes and prolonging patients' quality of life, as timely interventions at the earliest stages can slow disease progression and enhance survival rates. …”
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Brain connectivity disruptions in PTSD related to early adversity: a multimodal neuroimaging study by Richard O. Nkrumah, Traute Demirakca, Claudius von Schröder, Lemye Zehirlioglu, Noel Valencia, Yasmin Grauduszus, Sabine Vollstädt-Klein, Christian Schmahl, Gabriele Ende

“…Notably, no direct association between brain connectivity alterations and PTSD symptoms or the number of traumas within the PTSD group was observed.Conclusion: This study offers novel insights into the neurobiology of ACE-related PTSD using multimodal data fusion. We identified alterations in key brain networks (DMN, CEN) and OFC, suggesting potential deficits in cognitive control and social behaviour alongside heightened emotional processing in individuals with PTSD. …”
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Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

“…This study investigates machine learning and deep learning algorithms for seizure prediction, comparing their effectiveness on a large EEG dataset of epileptic patients. Signal processing techniques were applied to enhance data quality, and all models were trained on the same dataset for binary classification. …”
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ANALYSIS OF THE INFLUENCE OF LEADERSHIP STYLE, JOB PROMOTION, AND WORK MOTIVATION ON EMPLOYEE JOB SATISFACTION AT PERUMDA BANK PEREKONOMIAN RAKYAT by Nanda Salsa Nabila, Nur Laely Ramdaniyah, Siti Maryam

“…To use “Statistical Product and Service Solution (SPSS) version 25” as a tool for data processing and computation when conducting research. …”
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Seasonal development of nocturnal blood plasma melatonin concentration in the Hungarian native donkey by Harmat Levente, Chandran Anushya Nathania, Nagy János, Alpár Alán, Somoskői Bence, Fekete Sándor György, Becskei Zsolt, Gáspárdy András

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scCompass: An Integrated Multi‐Species scRNA‐seq Database for AI‐Ready by Pengfei Wang, Wenhao Liu, Jiajia Wang, Yana Liu, Pengjiang Li, Ping Xu, Wentao Cui, Ran Zhang, Qingqing Long, Zhilong Hu, Chen Fang, Jingxi Dong, Chunyang Zhang, Yan Chen, Chengrui Wang, Guole Liu, Hanyu Xie, Yiyang Zhang, Meng Xiao, Shubai Chen, Haiping Jiang, The X‐Compass Consortium, Yiqiang Chen, Ge Yang, Shihua Zhang, Zhen Meng, Xuezhi Wang, Guihai Feng, Xin Li, Yuanchun Zhou

“…Advances in artificial intelligence enhance life sciences research by delivering critical insights and optimizing data analysis processes. …”
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Feasibility of Digitally Identifying and Minimizing Stressors in Palliative Care Workplaces by Measuring Stress Continuously for Nurses Through Wearable Sensors (DiPa): Protocol fo... by Aaron Seehausen, Wencke Chodan, Florian Höpfner, Carolin Schneider, Sabine Felser, Hugo Murua Escobar, Mario Aehnelt, Christian Junghanss

“…The EMAs were prompted by scanning near-field communication (NFC) tags placed at different locations on the ward. The ongoing data analyses will be processed using computer algorithms partly programmed specifically for this study and partly drawn from existing libraries, such as toolboxes for neurophysiological signal processing for Python. …”
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Artificial Intelligence (AI) in Neurofeedback Therapy Using Electroencephalography (EEG), Heart Rate Variability (HRV), and Galvanic Skin Response (GSR): A Review by Teddy Marcus Zakaria, Armein Zainal R. Langi, Muhamad Sophian Nazaruddin, Isa Anshori

“…The lack of representative datasets for training AI models, the complexities of processing biometric data (EEG, HRV, GSR), and the high infrastructure costs required for implementation are the key barriers to widespread adoption. …”
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5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies by Ke XIONG, Ruichen ZHANG, Rui WANG, Guidong ZHONG, Yu ZHANG

“…The key technologies of 5G can satisfy the power grid requirements of "mass equipment access, mass power data transmission, power grid reliability, flexible cooperative response, and long equipment life". …”
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STUDY ON THE IMPACT OF COVID-19 ON EXPERIENTIAL TOURISM AND TRANSFORMATIVE TOURISM by Liviu MARCUTA, Mihaela Gratiela ONEA (STANCIU), Alina MARCUTA

“…The data analyzed in the work show that tourism in general recorded losses during 2020 and 2021, and that, in turn, transformational tourism recorded losses. …”
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Integrating communication dimensions into health models: understanding COVID-19 vaccination through multigroup analysis by Jimena Collantes-Loo, Edgardo R. Bravo

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Fiber-assisted nanoparticle tracking analysis meets nanorheology: a novel approach for probing viscoelastic properties at the nanoscale by Wieduwilt Torsten, Geisler Hannah, Förster Ronny, Lorenz Adrian, Schmidt Markus A.

“…FaNTA’s high accuracy and performance in nano- and microrheological measurements highlight its broad potential in nanoscale materials science, dynamic process studies, life and environmental sciences, and nanochemistry. …”
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Environmental Issues in a Digital Economy by R. A. Perelet

“…Reducing the cost of sensor technology and the spread of networks allow you to connect each component entering the production process. The data collected through such connections provide an opportunity to know the place of origin of the product, the method of production and the amount of energy spent on its production. …”
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Study of biologically active substances of plants of the North-West Caucasus that produce a sedative effect by M. I. Stalnaja, N. O. Sichko

“…At the same time, practically healthy people can also use them to improve their quality of life. The experience of using medicinal plants in traditional medicine in the North-West Caucasus (in particular, in the Republic of Adygea) contributed to their active study with the aim of introducing official scientific medicine into clinical practice.For the treatment, prevention and diagnosis of many diseases, the medications are widely used that have a sedative effect in various neurotic conditions and have a regulatory effect on the central nervous system, reducing excitatory processes, enhancing inhibitory processes or eliminating the consequences of stressful situations. …”
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Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology. by Li Jiaqing, Song Fei, Xiao Zidong, Zhu Longji, Chen Lan, Wei Zheliang

“…This processed AE data is then input into a CNN, where the improved signal clarity enables higher classification accuracy. …”
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Wearable Online Freezing of Gait Detection and Cueing System by Jan Slemenšek, Jelka Geršak, Božidar Bratina, Vesna Marija van Midden, Zvezdan Pirtošek, Riko Šafarič

“…The system utilizes advanced machine learning models, including convolutional and recurrent neural networks, enhanced with past sample data preprocessing to achieve high accuracy, efficiency, and robustness. …”
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Analysis of the Exports Structure from the Russian Federation in the light of the Theory of Technological Structures by A. S. Linnikov

“…On the basis of this theory, the author presents a structural section of the domestic economy from the point of view of each technological structure, as well as a comparative analysis of data on the Russian economy with the performance of the economies of other countries of different technological development levels. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Abstract Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven learning experiences. Machine learning algorithms analyze student performance to tailor content delivery, while natural language processing facilitates interactive learning through voice assistants and essay evaluation. …”
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An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study by Doniec Rafał, Krzepina Tymoteusz, Siecinski Szymon, Tausif Irshad Muhammad, Grzegorzek Marcin

“…The application, tested on 30 individuals aged 18 to 79 years, demonstrated stability, speed, and a user-friendly interface, facilitating efficient data processing and generating recommendations.…”
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