Health Seeking Behaviour of Young Adults in Accra, Ghana by Sydney Stanley Blankson

“…However, despite generally positive self-assessments, 48.5% of respondents reported being ill in the past three months, with about 50% diagnosing themselves. …”
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Optimised autoencoder-based ensemble deep learning approaches for cyber-physical event classification utilizing synchrophasor PMU data by Dhinu Lal M, Ramesh Varadarajan

“…The proposed methodology incorporates Adaptive Synthetic Sampling (ADASYN), Random Oversampling (ROS), and Synthetic Minority Oversampling Technique (SMOTE), followed by the selection of features by three variants of the Grey Wolf Optimiser (GWO): Standard GWO, Adaptive Weight GWO (AW-GWO), and Binary GWO (B-GWO), with B-GWO providing the optimal balance among accuracy and computing efficiency. …”
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Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression by Phumzile T. Mgcima, Wilson Tsakane Mongwe, Peter O. Olukanmi

“…The PR AUC values showed that the fitted models performed better than the random classifier, with the Gibbs sampler model performing the best among the three. …”
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The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance by Taifei Zhao, Hua Wang, Qianwen Ma

“…The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.…”
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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…Results In binary classifications, we used ML techniques such as “support vector machine (SVM), random forest (RF), logistic regression (LR), and Gaussian naive Bayes (GNB),” and used BERT transformers “ARABERT.” …”
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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

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Sleep quality and associated factors among adult patients with epilepsy attending follow-up care at referral hospitals in Amhara region, Ethiopia. by Sintayehu Simie Tsega, Birhaneselassie Gebeyehu Yazew, Kennean Mekonnen

“…In the multivariable binary logistic regression, being unable to read and write [AOR = 3.16, 95%CI: 1.53, 6.51], taking polytherapy treatment [AOR = 2.10, 95% CI: 1.37, 3.21], poor medication adherence [AOR = 2.53, 95%CI: 1.02, 6.23] and having poor support [AOR = 2.72, 95%CI: 1.53, 4.82] and moderate social support [AOR = 1.89, 95%CI: 1.05, 3.41] were significantly associated with higher odds of poor sleep quality.…”
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Domestic Tourists’ Willingness to Pay for Natural and Cultural Heritage Sites in Pokhara Valley, Nepal by Arjun K. Thapa, Kumar Bhattarai

“…The study was based on cross-sectional data collected from 130 domestic tourists visiting three purposively selected fee-paying sites in Pokhara. …”
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Novel approximate adaptive carry lookahead adder for error resilient applications with generic method for error analysis by Viraj Joshi, Pravin Mane

“…In comparison to ETA-I, ETA-II and GeAr, proposed method has shown improvement in delay by 9%, 17.9% and 21.3% respectively. Error analysis is done for proposed adder using random probabilistic method and generic analysis method. …”
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Predicting avalanche danger in northern Norway using statistical models by K.-U. Eiselt, R. G. Graversen, R. G. Graversen

“…Random forest (RF) models are trained and optimised for a binary case and for a four-level case. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Implicit importance was assessed by feature importance from the random forest classification models, which classify the three pattern for general differentiation and perform binary classification for specific types. …”
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Improved detection of microbiome-disease associations via population structure-aware generalized linear mixed effects models (microSLAM). by Miriam Goldman, Chunyu Zhao, Katherine S Pollard

“…Traits can be quantitative or binary (such as case/control). MicroSLAM is fit in three steps for each species. …”
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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neura... by Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, Syoko Ueno, Takeshi Kubo, Tomohiro Kuroda, Kaori Togashi

“…For the conventional method, CADx was performed by using rotation-invariant uniform-pattern local binary pattern on three orthogonal planes with a support vector machine. …”
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Magnitude and factors associated with chronic liver disease among adults (≥ 18 Years) attending gastroenterology and hepatology clinics in selected public hospitals, West Arsi Zone... by Beresa Lema Gage, Debela Gela, Teshome Habte Wurjine, Teshome Habte

“…A total of 384 adult participants were selected using systematic random sampling. Data were collected through structured interviews and medical record reviews. …”
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The Work Engagement Among Nurses in an Urban-Based Tertiary Hospital by Ampan Vimonvattana, Nontawat Benjakul

“…Participants were selected through simple random sampling. They completed an online survey including demographic data and the Utrecht Work Engagement Scale (UWES), which assesses three dimensions of engagement: vigor, dedication, and absorption. …”
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A Fast Image Encryption Scheme Based on a Four-Dimensional Variable-Parameter Hyperchaotic Map and Cyclic Shift Strategy by Guidong Zhang, Yanhao Zhao, Yanpei Zheng, Yulin Shen, Jun Huang

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MINIMIZING THE MULTILEVEL REPRESENTATIONS OF SYSTEMS OF BOOLEAN FUNCTIONS BASED ON SHANNON DECOMPOSITION by P. N. Bibilo, Y. Y. Lankevich

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A Robust Filter Design for Uncertain Singular Systems with Unreliable Channels by Ching-Min Lee, Meng-Hsuan Hsieh

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The association between sugar-sweetened beverage consumption, muscle strength, and psychological symptoms among Chinese adolescents: a multicenter cross-sectional survey by Yanjie Zhou, Chunhua Xue, Gulnur Ahmat, Huijuan Lou, Yun Liu, Li Ma

“…The present study may provide theoretical support and assistance for the prevention and intervention of psychological symptoms in Chinese adolescents.MethodsIn this study, 42,832 adolescents aged 12–17 years in mainland China were assessed cross-sectionally for SSB consumption, standing long jump reflecting muscle strength, psychological symptoms, and related covariates using a three-stage stratified whole-cluster random sampling method. …”
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Multi-Class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum by Yuanming Zhang, Jing Lu, Fei Chen, Haoliang Du, Xia Gao, Zhibin Lin

“…Prior research on directional focus decoding, a.k.a. selective Auditory Attention Decoding (sAAD), has primarily focused on binary “left-right” tasks. However, decoding of the attended speaker’s precise direction is desired. …”
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