Schizophrenia spectrum disorders in India: A population-based study by Prakyath Ravindranath Hegde, Lakshmi P. Nirisha, Chethan Basavarajappa, Satish Suhas, Channaveerachari Naveen Kumar, Vivek Benegal, Girish N. Rao, Mathew Varghese, Gopalkrishna Gururaj, NMHS National Collaborators Group

“…The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…Customers in orbit show impatience: each of them can leave orbit forever if the time of its stay in orbit exceeds some random time distributed according to an exponential law. …”
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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

“…In this study, six algorithms—Random Forest (RF), Support Vector Regression (SVR), BP Neural Network, GA-BP Neural Network, Genetic Programming (GP), and ANN-based MCD—are evaluated using 300 samples. …”
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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

“…In the first phase, two different hyper parameter techniques (Randomized Search and TPOT(autoML)) were used to increase the accuracy level for each algorithm. …”
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Association between Kihon check list score and geriatric depression among older adults from ORANGE registry. by Yu Kume, Seongryu Bae, Sangyoon Lee, Hyuma Makizako, Yuriko Matsuzaki-Kihara, Ichiro Miyano, Hunkyung Kim, Hiroyuki Shimada, Hidetaka Ota

“…To clarify the relationship between the KCL and geriatric depression or critical factors, a random intercept model of multi-level models was estimated using individual and provincial variables depending on five cohorts.…”
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Burden of diabetic ketoacidosis and its predictors among diabetic patients in Ethiopia: Systematic review and meta-analysis. by Sefineh Fenta Feleke, Anteneh Mengist Dessie, Zenebe Daniel Getachew, Fasikaw Kebede Bizuneh, Atitegeb Abera Kidie, Berihun Mulu Yayeh, Birtukan Gizachew Ayal, Natnael Amare Tesfa

“…Subgroup analysis were carried out to minimize random variations in the estimates from the primary studies.…”
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Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation by Xiaoming Zhang, Lean Yu, Hang Yin

“…In this methodology, a bagging resampling algorithm is first used to generate a dataset to address data scarcity. Subsequently, a random subspace is applied to integrate various features and reduce feature redundancy. …”
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Landslide susceptibility assessment for Uttarakhand, a Himalayan state of India, using multi-criteria decision making, bivariate, and machine learning models by Vipin Chauhan, Laxmi Gupta, Jagabandhu Dixit

“…Methods This study evaluates landslide susceptibility for Uttarakhand, a Himalayan state in India, by employing bivariate analysis, multi-criteria decision-making, and advanced machine learning models, such as Random Forest and Extreme Gradient Boosting (XGBoost). …”
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Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images by Fatemeh Zandie, Mohammad Salehi, Asghar Maziar, Mohammad Reza Bayatiani, Reza Paydar

“…Our study provides evidence that analysis of quantitative RFs extracted from high b-value DWMRI images based on a combination of FS method RFE and classifier random forest can be applied for multiclass grading of prostate cancer with an accuracy of 97.0%.…”
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Adjacent Joint Restriction Differentially Influences Intra- and Inter-rater Reliability and Agreement of Goniometric Measurements by Brendan L. Pinto, Tatjana Stankovic, David M. Frost, Tyson A. C. Beach

“…Assessing variance components (participant, measurement/rater and random error variance) that are used to calculate the ICC and SEM, improved interpretation of ICC and SEM scores…”
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Assessing the Accessibility and Utilization of Agricultural Credit Facilities in Ruhinda Sub-County Rukungiri District. by Tukahirwa, Horus

“…Initially, the study area was divided into clusters, followed by random sampling to choose specific villages within each cluster. …”
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Characterizations of multinomial distributions based on conditional distributions by Khoan T. Dinh, Truc T. Nguyen, Yining Wang

“…Several characterizations of the joint multinomial distribution of two discrete random vectors are derived assuming conditional multinomial distributions.…”
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Research for WSN routing algorithm based on novel multi-level minimal dominating clustering by LUO Guang-chun, LI Jiong

“…The novel mult-level minimal dominating clustering arithmetic is the reprove of the random clustering arith-metic,we discussed the arithmetic of minimal dominating set,and developed a improved predigestion arithmetic of near minimal dominating set,reduced the workload of compute the minimal dominating set.After discussed the realize of minimal dominating for WSN.The test results validate the improve in the energy consumption.…”
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Complete convergence for arrays of minimal order statistics by André Adler

“…For arrays of independent Pareto random variables, this paper establishes complete convergence for weighted partial sums for the smaller order statistics within each row. …”
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Matrix Mappings on the Domains of Invertible Matrices by Muhammed Altun

“…We show that the characterization of a random matrix operator , where and are matrix domains with invertible matrices and , can be reduced to the characterization of the operator . …”
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Management of Melaleuca by Residents in South Florida by Katherine Carter-Finn, Alan W. Hodges, Donna J. Lee, Michael T. Olexa

“…Olexa, describes the results of a survey of a random sample of households in the 10 southernmost counties of Florida. …”
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Existence of Solutions of Nonlinear Stochastic Volterra Fredholm Integral Equations of Mixed Type by K. Balachandran, J.-H. Kim

“…We establish sufficient conditions for the existence and uniqueness of random solutions of nonlinear Volterra-Fredholm stochastic integral equations of mixed type by using admissibility theory and fixed point theorems. …”
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Life Behavior of a System under Discrete Shock Model by Serkan Eryilmaz

“…We study the life behavior of a system which is subjected to shocks of random magnitudes over discrete time periods. We obtain the survival function and mean time to failure of the system assuming that the sizes of the shocks follow a discrete probability distribution under cumulative and mixed shock models.…”
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Spectral Representation and Simulation of Fractional Brownian Motion by Konstantin Rybakov

“…This paper gives a new representation for the fractional Brownian motion that can be applied to simulate this self-similar random process in continuous time. Such a representation is based on the spectral form of mathematical description and the spectral method. …”
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Finite Element Analysis of Excavator Driving Axle Housing under the Multi Work Condition by Zhao Ya, Wang Lifang

“…In order to improve the reliability of model design,a certain type of excavator driving axle housing is regarded as the research object,the reliability interference principle is used to establish a reliable model of drive axle housing,the axle housing model size parameters are regarded as random variables,the stress and strain change rule and parameters sensitivity variation of axle housing model are studied.…”
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