Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

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Sustainable analysis of COVID-19 Co-packaged paxlovid: exploring advanced sampling techniques and multivariate processing tools by Shymaa S. Soliman, Nisreen F Abo- Talib, Mohamed R. Elghobashy, Mona A. Abdel Rahman

“…Abstract The drawbacks of random sampling not only hinder the development of more reliable and efficient methods but also weaken their accuracy, predictive abilities, and validity across several domains. …”
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Generalized and open selection approaches for the population mean: accounting for non-response and measurement error in single-phase sampling by Muhammad Sajjad, Muhammad Ismail, Atta-ur-Rahman, Amjad Rehman, Tariq Mahmood

“…The proposed estimator takes into account both instances of non-response and measurement error within the context of simple random sampling. The mean squared error (MSE) expression of the proposed estimator has been obtained, and the expression is approximated to the first order to provide insights into its characteristics. …”
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THE REDUCTION OF ANXIETY AND PAIN DURING VENOUS BLOOD SAMPLING USING HYPNO-EFT (EMOTIONAL FREEDOM TECHNIQUES) METHOD by Diah Navianti, Ardiya Garini, Karneli Karneli

“…The sampling technique was simple random sampling to select 52 respondents. …”
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Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique by Chao Zhou, Yue Wang, Ying Cao, Ramesh P. Singh, Bayes Ahmed, Mahdi Motagh, Yang Wang, Ling Chen, Guangchao Tan, Shanshan Li

“…Moreover, the LR model can effectively constrain the selection range of non-landslide samples. The non-landslide sampling method constrained by LR yields higher quality samples compared to raditional random sampling method with no constraints, which develops a more excellent LSM.…”
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Causal impact of genetically-determined fish and fish oil intake on epigenetic age acceleration and related serum markers by Paul Fabian, Gil Blander, Renee Deehan, Ali Torkamani, Bartek Nogal

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Corrigendum: Effect of the gut microbiome, skin microbiome, plasma metabolome, white blood cells subtype, immune cells, inflammatory proteins, and inflammatory cytokines on asthma: a two-sample Mendelian randomized study and mediation analysis by Wenqian Guo, Wenqian Guo, Er Hong, Han Ma, Han Ma, Ji Wang, Qi Wang, Qi Wang

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Evaluation of sampling strategies for assessing lymphatic filariasis endemic status of a non-MDA district in South India. by Adinarayanan Srividya, Rajendran Dhanalakshmi, Raja Jeyapal Dinesh, Palappurath Maliyakkal Azad, Ramalingam Balasubramaniyan, Sivaprakasam T Selvavinayagam, Palani Sampath, Masilamani Senthilkumar, Dhandapani Bharani Kumar, Brindha Balan, Philip Raj Abraham, Ashwani Kumar, Swaminathan Subramanian, Manju Rahi

“…We evaluated four different sampling strategies to identify the best tool(s) and indicator(s) that could be used to assess transmission interruption in a non-MDA district.…”
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Representative Sample Size for Estimating Saturated Hydraulic Conductivity via Machine Learning: A Proof‐Of‐Concept Study by Amin Ahmadisharaf, Reza Nematirad, Sadra Sabouri, Yakov Pachepsky, Behzad Ghanbarian

“…We selected 17,990 soil samples from the USKSAT database and created random subsets N = 2,000, 4,000, 6,000, 8,000, 10,000, 12,000, 14,000, 16,000, and 17,990, 80% of which were used for training. …”
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Statistical Peculiar Features of Surface Cracking on Flat Clay Samples of Plastic Moulding when Heated by Heat Flow by I. K. Ivanovsky

“…Results of 240 time determinations pertaining to investigation of surface cracking initiation on flat samples of moulding mass (80% of the Lukoml clay + 20% of granite screenings) of various thickness (1 ...4 cm) while being heated with intensive heat flow (~ 1 W/cm2) are given and analyzed in the paper.It has been shown that under such heating conditions thickness of a sample practically does not make any effect on cracking intensity. …”
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Translation and Validation of the Kaufman Domains of Creativity Scale on a Croatian Sample of Early Childhood and Preschool Education Students by Marijana Županić Benić

“…Additional research is needed to confirm the validity of the Croatian version of the scale with a representative random sample.…”
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High Density Subspace Clustering Algorithm for High Dimensional Data by WAN Jing, ZHENG Longjun, HE Yunbin, LI Song

“…Highdimensional data have the characteristics of sparsity and vulnerability to dimension disaster, which makes it is difficult to ensure the precision and efficiency of high dimensional data clustering Therefore the method of subspace clustering is adopted to reduce the impact of sparsity and dimension disaster on the clustering results Firstly, random sampling is adopted to select the dimension which is suitable for clustering from highdimensional data to generate subspace, and the hoeffding bound is combined to ensure the validity of sampling results Secondly, by using the adjacency of the grid, mixed grids are generated in the subspace, which can guarantee the integrity of data and improve the density of the subspace Finally, according to the similarity and dissimilarity of subspace, the dimension pruning is carried out to improve the subspace density again The algorithm can achieve better results on UCI data set, and it has better performance in scalability and antinoise ability…”
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Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations by Juanle Wang, Kai Li, Tengfei Han, Yifei Sun, Mengmeng Hong, Yating Shao, Zhichen Sun, Meng Liu, Fengjiao Li, Yuhui Su, Qilin Jia, Yaping Liu, Jiazhuo Liu, Jiawei Jiang, Altansukh Ochir, Davaadorj Davaasuren, Mengqiong Xu, Yamin Sun, Shaopu Huang, Weihao Zou, Feiran Sun

“…Using machine learning and cloud computing, the novel dataset spanning the period of 1990–2020. Random Forest algorithm was employed to integrate training samples with multisource features for landcover classification, and a two-step Random Forest classification strategy to improve detail land cover results in transition regions. …”
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Acceptability, feasibility and appropriateness of integrating HPV self-sampling for cervical cancer screening into voluntary family planning services in Malawi by Patani Mhango, Andrew Kumitawa, Monica Patricia Malata, Jennifer H. Tang, Effie Chipeta, Bianca Kandeya, Medrina Mtende, Princess Kaira, Razak Mussa, Wanangwa Chimwaza, Lameck Chinula, Ireen Magongwa, Jacqueline Mbendera, Eneli Mhango, Eunice Mwandira, Lizzie Msowoya, Jennifer S. Smith, Mitch Matoga, Agatha Bula, Luis Gadama, Victor Mwapasa

“…Methods We conducted a mixed-methods study nested within a 1:1 cluster randomized trial comparing two service delivery models in 16 health facilities in Lilongwe and Zomba Districts: Model 1 involved clinic-based vaginal self-sampling and HPV testing, whereas Model 2 included both clinic-based and community-based self-sampling and HPV testing facilitated by community health workers called Health Surveillance Assistants (HSAs). …”
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Association between obesity and permanent teeth eruption in a sample of primary school children from Tanta City by Eman M. Esmael, Amina M. El-Hosary, Shaimaa S. EL-Desouky

“…The selected students were divided into equal sub-groups according to age, gender, and obesity status using a stratified random sampling technique. Obesity was assessed using BMI method while tooth eruption was recorded when any part of the crown was visible through the oral mucosa for twenty-eight permanent teeth. …”
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The Screening Visual Complaints questionnaire-acquired brain injury: Development and evaluation of psychometric properties in a community sample. by Vera Linde Dol, Anselm B M Fuermaier, Eline M E Will, Arlette J van Sorge, Joost Heutink

“…Confirmatory factor analyses were performed for 5 models (1-factor, 3-factor, 5-factor, second-order, and bifactor) on a random split of half of the sample, and cross-validated on the other half. …”
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Short-term effects of pet acquisition and loss on well-being in an unbiased sample during the COVID-19 pandemic by Judit Mokos, Eniko Kubinyi, Dorottya J. Ujfalussy, Ivaylo B. Iotchev, Borbála Paksi, Zsolt Demetrovics, Róbert Urbán, Ádám Miklósi

“…To address this bias, we conducted a longitudinal study in Hungary using a stratified random sample based on gender, age, education, and settlement type. …”
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Topological and spatial heterogeneity of gut microbiota co-abundance networks in pigs revealed by using large-scale samples by Lin Wu, Yuxin Liu, Congying Chen, Jun Gao

“…Fecal samples have often been used as a proxy for studying the gut microbiota. …”
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Smart sensing of creatinine in urine samples: Leveraging Cu-nanowires/MoS2 quantum dots and machine learning by Geethukrishnan, Paresh Prakash Bagde, Sammishra KH, Chandranath Adak, Rajendra P. Shukla, Kiran Kumar Tadi

“…The proposed sensor exhibits linearity from 1.96 μM to 966.0 μM and shows the best performance in terms of limit-of-detection (LOD) of 2.3 μM in a complex mixture and 0.001 μM in real urine samples, with RMSE of 0.2 and 0.017 μM using artificial neural network and random forest ML models respectively. …”
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Psychosocial stress and central adiposity: A Brazilian study with a representative sample of the public health system users. by Flávia Vitorino Freitas, Wagner Miranda Barbosa, Laíz Aparecida Azevedo Silva, Marianna Junger de Oliveira Garozi, Júlia de Assis Pinheiro, Aline Ribeiro Borçoi, Catarine Lima Conti, Juliana Krüger Arpini, Heberth de Paula, Mayara Mota de Oliveira, Anderson Barros Archanjo, Érika Aparecida Silva de Freitas, Daniela Rodrigues de Oliveira, Elizeu Batista Borloti, Iuri Drumond Louro, Adriana Madeira Alvares-da-Silva

“…<h4>Methods</h4>This cross-sectional study was conducted with 384 adults (20 to 59 years old) from the city of Alegre, Southeastern Brazil. The simple random sample represented the population using the public health system of the municipality. …”
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