Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

“…Regarding module features, participants appreciated algorithm-driven nudges and in-app interactions but emphasized the importance of controlling the frequency of nudges. …”
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Evolving rifampicin and isoniazid mono-resistance in a high multidrug-resistant and extensively drug-resistant tuberculosis region: a retrospective data analysis by Koleka Mlisana, Nomonde Ritta Mvelase, Yusentha Balakrishna, Keeren Lutchminarain

“…This study assessed the changes in resistance levels in culture confirmed Mycobacterium tuberculosis (MTB) in the highest burdened province of South Africa during a period where major changes in diagnostic algorithm were implemented.Setting This study was conducted at the central academic laboratory of the KwaZulu-Natal province of South Africa.Participants We analysed data for all MTB cultures performed in the KwaZulu-Natal province between 2011 and 2014. …”
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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslav Yevsieiev, Ahmed Solyman

“…A structure of information interaction between hardware modules is proposed, and a connection scheme is developed, on the basis of which a model of a computer vision system is assembled for research, with the required algorithmic and software for solving the problem. To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. …”
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The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging by Qinmei Liao, Xihao Hu, Zhiqiong Jiang, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

“…Methods The present study conducted a retrospective analysis on 147 patients (77 with CF, 70 in the control group). …”
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Deep‐HH: A deep learning‐based high school student hidden hunger risk prediction system by Yang Yang, Zheng Zhang, Huake Cao, Yuchen Zhang, Minao Wang, Ning Zhang

“…We used six ML algorithms (i.e., deep‐learning neural network [DNN], random forest, support vector machine, extreme gradient boosting, gradient boosting decision tree, and k‐nearest neighbor) to fit the training set using five‐fold cross‐validation, with hyperparameter tuning performed via Bayesian optimization. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

“…Additionally, single-gene gene set enrichment analysis (GSEA) was conducted, and correlations between feature genes and differential immune cells were analyzed. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In this study, four deep convolutional neural network models were designed with Occam's razor principle through hyperparameter settings on the algorithm structure aspect in the form of number of layers and optimization aspect in the form of optimizer type. …”
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Bioinformatic analysis, clinical implications and experimental validation of ferroptosis-related feature gene in IgA nephropathy: focus on DUSP1 by Tingting Liu, Tingting Pan, Mingxin Chang, Shaojie Fu, Hongzhao Xu, Hao Wu, Zhonggao Xu, Yanli Cheng

“…The findings were validated in an IgAN mouse model using immunohistochemistry and western blotting. Gene set enrichment analysis (GSEA) was conducted to explore the underlying mechanism of FFG in IgAN. …”
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Current and Future Trends of the Automotive Industry by Dieter Hermann Schramm

“…More activities are required for robust algorithms and strategies to hand over control back to the driver in complex situations and even vice versa from the driver to the car in cases where the driver is unable to further control his car, e.g. in case of a heart attack.…”
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Livestock production losses attributable to brucellosis in northern and central Tanzania: Application of an epidemiological-economic modelling framework. by Ângelo J F Mendes, Daniel T Haydon, William A de Glanville, Rebecca F Bodenham, AbdulHamid S Lukambagire, Paul C D Johnson, Gabriel M Shirima, Sarah Cleaveland, Emma McIntosh, Nick Hanley, Jo E B Halliday

“…Livestock brucellosis is an endemic disease in many low-resource settings. Despite its widespread distribution, little is known about the scale of economic impacts caused by the disease. …”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…The dataset is randomly shuffled, with 80% selected as the training set and the remaining 20% as the testing set. Following this, based on metallurgical mechanism (MM) analysis, the initial feature importance in the input variables of the extreme gradient boosting (XGBoost) model is partially amplified. …”
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The key genes ME1 and ALDH3A1 involved in glycolysis regulate the lactate pathway and mediate COPD related immune dysregulation by Wenli XIE, Guang ZHOU, Zhitao JING, Shilin QIU

“…Subsequently, key genes involved in glycolysis were identified using the LASSO and SVM-RFE algorithms. After subtyping, GSEA analysis was conducted. …”
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Web service and dynamic pricing competition by Ehram Safari, Masoud Babakhani

“…Moreover, we conduct numerical analyses to examine the impacts of some parameters on control and state variables.…”
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Datasets of Faults in Variable Air Volume Terminal Units in a Multi-Zone Commercial Building by Sungkyun Jung, Yeobeom Yoon, Piljae Im

“…We identified two common faults in HVAC variable air volume systems: a stuck damper fault in the variable air volume terminal unit and a discharge airflow sensor fault. We conducted three sets of damper stuck tests and two sets of airflow sensor tests, each including a fault-free scenario and scenarios with varying levels of faults, over one day. …”
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Comparison of the effectiveness of various conservative treatment options for trophic ulcers and varicose eczema by E. V. Ivanov, E. P. Burleva

“…Based on the obtained data, therapeutic algorithms were proposed for the management of patients with venous TU and VE in outpatient settings.Conclusions. …”
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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…Regression analysis was conducted between the extracted water surface area and observed water levels to create a predictive model, yielding a highly accurate equation with an R2 core of 0.981 on the test set. …”
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TSTBench: A Comprehensive Benchmark for Text Style Transfer by Yifei Xie, Jiaping Gui, Zhengping Che, Leqian Zhu, Yahao Hu, Zhisong Pan

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Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology by Shasha Wu, Shasha Wu, Qing Jiang, Jinhui Wang, Jinhui Wang, Daming Wu, Yan Ren

“…The diagnostic accuracy of the identified hub genes was evaluated using receiver operating characteristic (ROC) curve analysis. Furthermore, we conducted a study involving 10 MDD patients and 10 healthy controls (HCs) meeting specific criteria to assess the expression levels of these hub genes in their peripheral blood mononuclear cells (PBMCs). …”
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RETRACTED: Gyrotactic Motile Microorganisms Impact on Pseudoplastic Nanofluid Flow over a Moving Riga Surface with Exponential Heat Flux by Hassan Waqas, Mowffaq Oreijah, Kamel Guedri, Sami Ullah Khan, Song Yang, Sumeira Yasmin, Muhammad Ijaz Khan, Omar T. Bafakeeh, El Sayed Mohamed Tag-ElDin, Ahmed M. Galal

“…The numerical solutions for the renewed set of ODEs were tackled by the bvp4c shooting algorithm built-in MATLAB software. …”
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Development of a Smart Health Care Service Using Metaverse and Chatbot Technologies for Adolescents, Parents, and School Health Teachers: User-Centered Design Approach by Hana Kim, Jae-Heon Kang, Yeeun Kwon, Che Eun Kim, Jung han Yu, Hyo Seung Nam, Jisan Lee

“…A usability evaluation of the core UI, shaped by the insights from the needs assessment, was conducted with 76 participants. ResultsThe service was conceptualized emphasizing school settings to cater to school-aged users, ensuring that the design is closely aligned with user needs. …”
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