Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…Statistical population includes all healthy pregnant women referring to health centers in Gorgan city (Iran) in 2014 from which 429 were chosen as the sample using cluster random sampling. The questionnaire included 65 questions in 6 sections each relating to one knowledge level. …”
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Researching of University Students Sport Consumption by Mahmut Elmas, Velittin Balcı

“…The study’s scale has been applied by using random expample medhod on sophomore and further class students of university students in Ankara/Turkey to collect data. …”
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Fatigue Performance Optimization of the Wind Turbine Gearbox Transmission System Considering Environmental Parameters by Tan Jianjun, Wu Yuan, Bai Yang, Zhu Caichao, Song Chaosheng, Dong Yehong

“…Random wind speed causes frequent load fluctuations in the wind turbine gearbox transmission system, resulting in complex structural deformations and gear deflections, which aggravate the risk of gear contact failure. …”
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SEE IT, LIKE IT, BUY IT! HEDONIC SHOPPING MOTIVATIONS AND IMPULSE BUYING by Merima Činjarević, Kasim Tatić, Srđan Petrić

“…There are some of limitations in this study worthy of improvement and leads for future studies. A more random sampling method, sampling from different geographic locations and replication of this study in the context of other product categories are necessary to ensure reliable generalizability. …”
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Statistical sampling method to verify the homogeneity of full-scale cement-solidified radioactive waste by Hyeongjin Byeon, Ugyu Jeong, Jaeyeong Park

“…Therefore, this study compared uniform, random, and quasi-Monte Carlo sampling methods to determine the most effective core position. …”
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Dynamic Response Analysis of an Asymmetric Coupled Vehicle-Track System Generated by Voided Elastic Two-Block Sleeper by Zhenxing He, Xinwen Yang

“…The results show that the asymmetric voided elastic two-block sleepers have greater effects on the dynamic responses for fasteners and sleepers than on the car body and the wheel/rail forces under measured geometric irregularity and random irregularity. Two or more voided sleepers will greatly affect the vehicle running safety.…”
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Organizational innovation and creativity perception of public sports organization employees in Turkey by Nuh Osman Yildiz

“…The study group was determined according to the convenience sampling method, which is one of the non-random sampling methods. The working group comprised of 424 Ministry of Youth and Sports central and provincial employees. …”
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Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance by Yasemin Ayaz Atalan, Abdulkadir Atalan

“…In the first stage, machine learning algorithms, including random forest (RF), gradient boosting (GB), k-nearest neighbors (kNNs), linear regression (LR), and decision trees (Tree), were employed to estimate energy output. …”
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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

“…The researchers’ approach involves the deployment of several machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, and an ensemble of these methods. …”
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Human Resource Panning and its Impact on Organizational Performance in Ministry of Health, Abuja by Khalipha Abba Abdulkadir

“…The sample size of thirty workers, or thirty percent of the target population, was chosen using stratified random selection methods. Questionnaires were utilized to gather information. …”
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A Deep Learning Approach for Mental Fatigue State Assessment by Jiaxing Fan, Lin Dong, Gang Sun, Zhize Zhou

“…In comparison to traditional methods, such as Support Vector Machines (SVMs) and Random Forests (RFs), as well as other deep learning methods, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM), the proposed approach demonstrates significantly improved experimental outcomes. …”
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Okul Öncesi Dönem Çocuklarının Dijital Medya Ekranını Problemli Kullanımları ve Sosyal Becerilerinin İncelenmesi by Büşra Bakırcı, Duygu Çetingöz

“…Araştırmanın çalışma grubu random örnekleme yöntemiyle 2022-2023 eğitim öğretim yılında İzmir iline bağlı sekiz ilçeden MEB’e bağlı toplam 24 bağımsız anaokuluna devam eden, normal gelişim gösteren 431 çocuk olarak belirlenmiştir.  …”
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A growth model for citations networks by Pedro Castillo-Castillo, Enrique Stevens-Navarro, Ulises Pineda-Rico, Abel Garcia-Barrientos, Francisco R. Castillo-Soria, Jesus Acosta-Elias

“…So, how can we explain that the number of references an author includes in a scientific article is not purely random? In this work, a growth model for citation networks is presented, proposing that the distribution of outgoing links can be shaped by the presence of communities.…”
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Evolution of Equity Norms in Small-World Networks by José I. Santos, David J. Poza, José M. Galán, Adolfo López-Paredes

“…This paper is aimed at investigating the effect of structures ranging from regular ring lattices to random networks, including small-world networks, in a model focused on property distribution norms. …”
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Screening for Cushing Syndrome at the Primary Care Level: What Every General Practitioner Must Know by Ernest Yorke, Yacoba Atiase, Josephine Akpalu, Osei Sarfo-Kantanka

“…The clinical awareness of the primary care physician (PCP) to the highly indicative signs and symptoms such as facial plethora, proximal myopathy, reddish purple striae, and easy bruisability should alert him to look for biochemical evidence of Cushing’s syndrome through any of the first-line screening tests, namely, 24-hour urinary free cortisol, overnight dexamethasone suppression test, or late-night salivary cortisol. Commonly used random cortisol measurements are unreliable; hence, general practitioners are encouraged to understand the use of these more reliable tests with increased sensitivity and specificity for screening Cushing’s syndrome. …”
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Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection by Gauhar Ali, Sajid Shah, Mohammed ElAffendi

“…Then, the machine learning techniques i.e., Random Forest, and XGBoost, are applied to improve the decision process and reduce the false positive alerts of the Security Information and Event Management system. …”
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Comparative analysis of the psychological content of the «time perspective», «image of the future» and «goal» concepts by Elena V. Mikheeva

“…His results confirmed that by itself the formulation of the desired future in the form of a goal does not provide support for resisting the flow of random events. Whereas the connection of the image of the future makes a person face the need for integration, coordination of the image at all levels of subjective regulation, starting with mental representation and ending with the adequacy of actions.…”
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A 3.9 μs Settling-Time Fractional Spread-Spectrum Clock Generator Using a Dual-Charge-Pump Control Technique for Serial-ATA Applications by Takashi Kawamoto, Masato Suzuki, Takayuki Noto

“…The SSCG is fabricated in a 0.13 μm CMOS and achieves settling time of 3.91 μs faster than 8.11 μs of a conventional SSCG. The random jitter and total jitter at 250 cycles at 1.5 GHz are less than 3.2 and 10.7 psrms, respectively. …”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

“…The experimental results show that compared with random strategies and traditional PPO algorithms, GSO-PPO reduces vehicle waiting time and improves service efficiency, making the overall operation of the battery swapping station more stable. …”
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The Eff ect of the Introduction of a “Pay Per Use“ Option within Motor TPL Insurance by Stefan Trappl, Karl Zehetner, Robert Pichler

“…Secondly, the authors examine whether there are other signifi cant differences between characteristics of “pay per use” policy-holders and “traditional” policy- holders. Therefore a random sample of 4,000 car-insurance – clients (2,000 “pay per use” policy-holders and 2,000 “traditional” policy-holders) is reviewed. …”
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