Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

“…Linear regression (LR) is shown to have a better trade-off between performance and implementation issues when sets are short, oversampled, and with a high signal-to-noise ratio (SNR). A new method to improve the convergence of polynomial LR in sets close to the undersampling regime is proposed here. …”
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An epidemiologic study of headaches in brazilian schoolchildren with a focus on pain frequency Um estudo epidemiológico de cefaléias em escolares brasileiros, com foco sobre a freq... by Regina Pires de Albuquerque, Adriana Barbosa Santos, Waldir Antônio Tognola, Marco Antônio Arruda

“…A cross-sectional study was conducted between March and November 2004 in São José do Rio Preto, São Paulo State, Brazil. A sample of 5,232 children from elementary schools was selected using proportional stratified sampling method. …”
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The relationship between compassion competence, caring behaviours, and professional commitment among nursing students: a cross-sectional study by Elham Zarrinkolah, Mansour Ghafourifard, Javad Dehghannezhad

“…A total of 200 nursing students were selected by random sampling method using Random Number Generator software. …”
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Factors enhancing operation and maintenance of sanitation facilities for improved service levels in Kampala Schools by Jude Zziwa Byansi, Swaib Semiyaga, Frank Kansiime, Robinah Nakawunde Kulabako

“…Binary logistic regression identified toilet technology, flushing method, cleanliness, and special sanitation budgets as significant O&M factors (P < 0.005). …”
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Prevalence and Mortality Rates of Acute Kidney Injury among Critically Ill Patients: A Retrospective Study by Randa I. Farah, Othman A. Alfuqaha, Ali R. Younes, Hasan A. Mahmoud, Alhareth M. Al-Jboor, Mohammad M. Karajeh, Mohammad Z. Al-Masadeh, Omar I. Murad, Nathir Obeidat

“…To determine the prevalence, risk factors, and mortality rate of AKI among nonsurgical critically ill patients in Jordan University Hospital, we conducted a retrospective study using a consecutive sampling method, including 457 nonsurgical critically ill patients admitted to the medical intensive care unit (MICU) from January to June 2021. …”
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The Relationship Between the Implementation of Islamic Values and Patient Loyalty in Inpatient Rooms by Arrum Arrifani Alkhaidar, Nurul Hikmatul Qowi, Masunatul Ubudiyah

“…Data were collected from a sample of 100 inpatients, selected through consecutive sampling over a two-week period. …”
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Perspectives of ICU Physicians on Antibiotic Use in Critically Ill Patients: A Qualitative Study from a Developing Country by Maheen Khoso, Arshad Taqi, Muhammad Aamir Alsabah, Faisal Imran, Naveed Latif

“…Six ICU consultants with more than two years of post-fellowship experience were recruited through purposive sampling. …”
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Waterbody type dependence of the spatial distribution of macroinvertebrate communities in temperate China by Yujie Si, Junxia Wang, Junxia Wang, Hongxiang Li, Haonan Li, Ping He, Lei Jin, Cunqi Liu

“…Distance-decay relationships (DDRs) are a useful method for describing the spatial distribution of biological communities. …”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…Conclusion By expanding our negative data labeling approach to all diseases within the ClinicalTrials.gov database, our method could greatly advance supervised drug repositioning, offering a more accurate and data-driven path for discovering new treatments.…”
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Compensation and Rewards on Job Satisfaction of Generation Z Employees in Bekasi by Sudaryanto Sudaryanto, Epul Saepul, Adrian Azhar Wijanarko

“…This study employs a quantitative method with an explanatory approach. The explanatory approach is chosen to explain how job satisfaction programs can influence organizational sustainability. …”
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THE ROLE OF INDIVIDUAL CHARACTERISTICS, PSYCHOSOCIAL ENVIRONMENTS, WORK FATIGUE, AND CALORIC ADEQUACY IN PERFORMANCE AMONG FEMALE POTTERY ARTISANS IN KARANGANYAR, BOROBUDUR by Yungki Kantiana Taqwa, Indritati Paskarini, Tri Martiana, Widarjanto, Shinta Sari Interpreter

“…Purpose: Investigate the factors influencing the performance of female pottery workers in Karanganyar. Method: A cross-sectional approach was employed and respondents were selected using simple random sampling techniques, yielding 43 participants out of 70 female workers. …”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

“…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…However, the present-day models have failed to effectively encompass spatial-temporal data samples. Methods This paper presents a novel hybrid machine-learning model by amalgamating Convolutional Neural Networks (CNNs) with Long Short-Term Memory models (LSTMs) to boost prediction accuracy. …”
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Domain-Invariant Few-Shot Contrastive Learning for Hyperspectral Image Classification by Wenchen Chen, Yanmei Zhang, Jianping Chu, Xingbo Wang

“…In Hyperspectral Image (HSI) classification, acquiring large quantities of high-quality labeled samples is typically costly and impractical. Traditional deep learning methods are limited in such scenarios due to their dependence on sample quantities. …”
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Investigation of Technological Operations Affecting the Determination of Concentration of Ionol Additive in Insulating Oil in High-Voltage Equipment by Korobeynikov S.M., Lyutikova M.N.

“…The object of the research is insulating oil with more than 35 years’ operating cycle, presenting a complex multiplex matrix of hydrocarbons and oxygenates preventing reliable determination of ionol additive with gas-liquid chromatography method. …”
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Multi-Fidelity Surrogate Modeling via Hierarchical Kriging With Infinite-Width Bayesian Neural Network Correlation Function by Youwei He, Jiangshuo Cui

“…On the 1512-dimensional problem of the prediction for the compressor pressure ratio, the proposed method can build most accurate model within 50 seconds on a personal laptop with a data set consisting of 15120 low-fidelity and 7560 high-fidelity sample data.…”
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Glycerin as an alternative solvent for the extraction of glycyrrhizic acid from the roots of Glycyrrhiza glabra by K. N. Laricheva, U. G. Grishina

“…Science knows many ways to obtain licorice extract, and the research is still being actively carried out to find even more effective, inexpensive and accessible methods.The purpose of the research was to investigate the feasibility and potential of glycerol as a solvent for the extraction of glycyrrhizic acid from the roots of Glycyrrhiza glabra.The methods. …”
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Multi-state models: metapopulation and life history analyses by A. N. Arnason, E. Cam

“…The use of data–intensive sampling methods to fit this model neatly sidesteps the insurmountable problem for a purely frequentist (likelihood) approach of having to integrate out the Nt from the likelihood. …”
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Study of a Triaxial Testing System for Unsaturated Subgrade Fillers Using a High-Suction Tensiometer and Photogrammetry by Yiru Hu, Xianzhang Ling

“…Real-time matric suction is measured using a high-suction tensiometer, avoiding traditional suction control methods and enabling a more accurate reproduction of deformation and suction changes in unsaturated soil samples under natural conditions. …”
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Investigation of plasmid profiles of enterococcus faecalis isolated from mastitic cow milks by Mehmet Öztürk, Süheyla Türkyılmaz

“…<b>Aim:</b> The purpose of this study was to investigate the plasmid profiles of Enterococcus faecalis isolated from cow milk samples with mastitis.<p> <b>Materials and Methods:</b> As a material, 54 E. faecalis strains isolated in the past years from milk samples with mastitis were used. …”
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