RELATIONSHIP OF BREASTFEEDING WITH GROSS AND FINE MOTOR SKILLS DEVELOPMENT IN INFANT 6-12 MONTHS by Rukanah Rukanah

“…Methods: The design was a cross-sectional study, a total sample of 43 infants with a simple random sampling technique. The research instrument used questionnaires and interviews to obtain data on exclusive breastfeeding, to measure gross motor and fine motor skills development using a checklist form based on Denver II. …”
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Microstructure and properties of joint of Al/Cu welded by resistance element welding with an auxiliary gasket of Ni by Dongsheng Cui, Jing Wang, Ranfeng Qiu, Hongxin Shi, Lipeng Yan

“…The grains in Al2Cu layer exhibit random crystal orientations. With the increase of welding current and the extension of welding time, the tensile shear load of the Al/Cu joint increased first and then decreased. …”
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Functional characterization of elderly people in the rural community of “Lagunillas”. January-March 2004. by Marly Delgado Navarro, Luz María Díaz Hernádez, Fidelina Bravo Vargas

“…The study gathered a total of 45 old patients who were selected at random, constituting 47% of the universe which is formed by 96 elders. …”
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Models for Natural Killer Cell Repertoire Formation by Mali Salmon-Divon, Petter Höglund, Ramit Mehr

“…The two-step selection model postulates that developing NK cells initiate the stable expression of a random set of Ly49 genes, and then undergo two selection steps, one for cells that express a sufficient number of self-MHC receptors, and one against cells that express too many inhibitory receptors. …”
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Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database by Zhen-Tian Guo, Kun Tian, Xi-Yuan Xie, Yu-Hang Zhang, De-Bao Fang

“…Among the six ML models, the random forest (RF) had the best predictability in assessing the risk of DM in MTC, with an accuracy, precision, recall rate, F1-score, and AUC higher than those of the traditional binary LR model. …”
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Triptic editorial: Maxim (Iuliu-Marius) Morariu by Iulia MEDVESCHI

“…The 49 meditations dedicated to the Sunday Gospels together with the six occasional thoughts (do not appear) as a mere association and/or stringing together of random thoughts, but in the denouement at the end of the soul/spiritual ease of Father Maxim during the pandemic period (2020-2021). …”
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Public Perception of Environmental Pollution in Warri, Nigeria by AA Obafemi, OS Eludoyin, BM Akinbosola

“…Data were acquired by administering questionnaire among the residents of study area using random sampling method and descriptive statistics was used to explain the frequencies of variables being expressed in percentages. …”
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Prediction of Mg Alloy Corrosion Based on Machine Learning Models by Zhenxin Lu, Shujing Si, Keying He, Yang Ren, Shuo Li, Shuman Zhang, Yi Fu, Qi Jia, Heng Bo Jiang, Haiying Song, Mailing Hao

“…We compared four machine learning algorithms: random forest (RF), multiple linear regression (MLR), support vector machine regression (SVR), and extreme gradient boosting (XGBoost). …”
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A simulation study on the process design and optimization pressure swing separation of azeotropic mixture methanol and toluene. by Xinxin Liu, Ndungutse Jean Maurice, Mugabekazi Joie Claire, Bigirimana Gentil, Junning Li, Zengxiang Jiao, Abdulmoseen Segun Giwa

“…In this study, we aimed to separate methanol and toluene using the Non-Random Two-Liquid (NRTL) and Aspen Plus thermodynamic calculation models to simulate a binary homogeneous azeotropic system. …”
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Public Trust in Dentists among Arabic Populations by Aceil Al-Khatib, Radwan Abed Alhaleem, Rama Qaffaf

“…We used an Arabic online anonymous survey to collect data from a random population of 838 adults to investigate public trust in dentists, the factors they perceive to affect trust, their perception of key factors in the dentist-patient relationship, fear of dentists, and the impact of the COVID-19 pandemic on the level of their trust in the dentists. …”
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Prediction of hemolytic peptides and their hemolytic concentration by Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

“…Among classification models, including machine learning (ML), quantum ML, and protein language models, a hybrid model combining random forest (RF) and a motif-based approach achieves the highest area under the receiver operating characteristic curve (AUROC) of 0.921. …”
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INTEREST INCOME AND DEPOSIT MONEY BANKS (DMBs) PERFORMANCE IN NIGERIA by Russell Olukayode Christopher Somoye, Bamidele M. Ilo, Lateef Adewale Yunusa

“…The results obtained from the random effect model indicate that interest income and capital adequacy contribute and significantly drive the profitability of the Nigerian DMBs. …”
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Estimation of fatigue life of selected construction materials under cyclic loading by M. Kurek, T. Łagoda, S. Vantadori

“…Macha has formulated the criterion of maximum normal and shear stress in fracture plane which can be generalised for the scope of random loading of numerous criteria. In the present study authors estimated the fatigue life of several construction materials. …”
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Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing by Xiaoliang Yuan

“…Therefore, in order to give full play to the role of edge computing and promote the controllability of behavioral financial market volatility, this paper used the calculation task load model algorithm, time slot length optimization algorithm, asymmetric thick-tail random fluctuation, and volatility analysis application algorithm to study the subject of how to learn to reduce financial market volatility, summarizing and discussing the experiment. …”
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SMART SAFETY SHOES: INTERNET OF THINGS BASED ANTI FATIGUE SENSORS TO PREVENT MUSCULOSKELETAL DISORDERS by Rohmat Fais Sahhal Hafidhuddin, Novia Hayu Rahmawati, Mukhammad Jamaludin, Am Maisarah Disrinama

“…Result: From the results of trials using a random sample, the levels of comfort and safety of these shoes are 83,3% and 83,3%, so they are quite effective to use. …”
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Role of Competence Perception in Predicting Emotional Self-Awareness and Bullying and Victim Behavior in Elementary Students. by Reyhane Rakhshani nejad, Zahra Nikmanesh

“…The 268 numbern of the students (138 girls, 130 boys) were selected by random multi-stage cluster sampling. The variables were measured using the Harter competency perception questionnaire (1982), Tanjani et al. (1990) emotional self-awareness questionnaire, and Rigby and Esley bullying-victim (1993). …”
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Abdominal Symptoms and Incident Gallstones in a Population Unaware of Gallstone Status by Daniel Mønsted Shabanzadeh, Lars Tue Sørensen, Torben Jørgensen

“…A cohort study was performed of a random sample from general population of Copenhagen. …”
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Bayesian optimization-driven enhancement of the thermoelectric properties of polycrystalline III-V semiconductor thin films by Takamitsu Ishiyama, Koki Nozawa, Takeshi Nishida, Takashi Suemasu, Kaoru Toko

“…After six Bayesian optimization cycles, ZT exhibited an approximately threefold improvement compared to its values obtained in the random initial experimental trials. Additional analysis employing Gaussian process regression elucidated that a high In composition and low substrate temperature were particularly effective at increasing ZT. …”
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A Deep Q-Network-Based Collaborative Control Research for Smart Ammunition Formation by Jian Shen, Benkang Zhang, Qingyu Zhu, Pengyun Chen

“…With the consideration of random factors, such as sensor error and environmental disturbance, the system model cannot be modeled accurately. …”
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Compressive sensing based data gathering algorithm over unreliable links in WSN by Ce ZHANG, Xia ZHANG, Ou LI, Guan-lin MEI, Zhe HAN, Da-long ZHANG, Guang-yi LIU

“…To solve the problem that the ubiquitous unreliable links in the WSN influence the performance of the compressive sensing (CS) based data gathering,first the relationship between the reconstruction SNR of CS-based data gathering algorithm and the bit-error-ratio (BER) were simulated quantitatively.Then classify two cases were classified,namely light-payload and heavy-payload,relying on the analysis of wireless link packet loss characteristics.The random packet loss model was conceived to describe the packet loss under light-payload scenario.Further the neighbor topology spatial correlation prediction-based CS data gathering (CS-NTSC) algorithm was proposed,which utilized the nodes spatial correlation to reduce the impact of error.Additionally,the node pseudo-failure model was conceived to describe the packet loss occurred in network congestion,and then the sparse schedule-aided CS data gathering (CS-SSDG) algorithm were conceived,for the purpose of changing the sparsity of measurement matrix and avoiding measurements amongst the nodes affected by unreliable links,thus weakening the impact of error/loss on data reconstruction.Simulation analysis indicates that the proposed algorithms are not only capable of improving the accuracy of the data reconstruction without extra energy,but also effectively reducing the impact affected by the unreliable links imposed on CS-based data gathering.…”
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