Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…The use of machine learning techniques to forecast aflatoxin M1 levels in breast milk samples is examined in this study. To develop predictive models of aflatoxin M1 in breast milk, we employed well-known supervised machine learning algorithms such as Random Forest and Gradient Boosting. …”
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Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets by Alysha van Duynhoven, Suzana Dragićević

“…Therefore, this study proposes and implements an ML-spatial sample weighting (ML-SSW) approach to leverage available multitemporal LC data while adjusting sample influence to reflect recency of change occurrence and class-level spatial pattern measures to enable data-driven LC change modeling. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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Influence of food consumption and packaging on urinary Bisphenol-A level in a sample of Egyptian students by Rania N. Sabry, Rehab S.I. Moustafa, Saneya A. Wahba, Ebtissam M. Salah El-Din, Samia Boseila, Mai M. Youssef, Mones M. Abushady, Jihan Hussein, Dalia Medhat, Safaa M. Morsy, Dina A. Salah

“…This study aimed to investigate whether increased consumption of different food types and food packing will be associated with higher urinary levels of BPA or not, in a sample of Egyptian students. Subjects and methods A random sample of 125 Egyptian children and adolescents from 6–18 years old of different social levels was included. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…The CDMTD method could effectively solve the problem of virtual sample distribution variation in the overall trend diffusion theory and enhance the measured database, reducing the impact of small sample sizes. …”
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Healthcare Complaints Analysis Tool: reliability testing on a sample of Danish patient compensation claims by Soren Bie Bogh, Jonas Harder Kerring, Katrine Prisak Jakobsen, Camilla Hagemann Hilsøe, Kim Mikkelsen, Søren Fryd Birkeland

“…Objective The study aim was to test the intra-assessor and interassessor reliability of the Healthcare Complaints Analysis Tool (HCAT) for categorising the information in the claim letters in a sample of Danish patient compensation claims.Design, setting and participants We used a random sample of 140 compensation cases completed by the Danish Patient Compensation Association that were filed in the field of acute medicine at Danish hospitals from 2007 to 2018. …”
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Application of machine learning in forensic geochemistry using presalt oil samples from the Santos basin by Gil Marcio Avelino Silva, Fernando Pellon de Miranda, Jarbas Vicente Poley Guzzo, Wagner Leonel Bastos, Ygor Rocha, Igor Viegas Alves Fernandes de Souza, Italo Oliveira Matias, Sarah Barron Torres, Francisco Fabio de Araujo Ponte

“…A dataset comprising 2200 presalt oil samples and 75 attributes from the Santos Basin underwent preprocessing and exploratory analysis, resulting in 2137 samples and 62 predictive attributes. …”
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Spatial interpolation of cropland soil bulk density by increasing soil samples with filled missing values by Aiwen Li, Jinli Cheng, Dan Chen, Wendan Li, Yaruo Mao, Xinyi Chen, Bin Zhao, Wenjiao Shi, Tianxiang Yue, Qiquan Li

“…Using 2,883 cropland soil BD samples from the Sichuan Basin in China, we developed the best prediction models from traditional pedotransfer function (PTF), multiple linear regression (MLR), random forest (RF), and radial basis function neural network (RBFNN) to fill missing BD values for 1,336 samples. …”
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Longitudinal predictors of alcohol use and problems during the COVID-19 pandemic in an at-risk veteran sample by Angela J. Zaur, Dongho Shin, Jasmine Lewis, Robert A. Perera, William C. Walker, Amma Agyemang, Tara Austin, Cooper Hodges, Sarah L. Martindale, Mary Jo Pugh, Ananda B. Amstadter, Christina M. Sheerin

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eFC-Evolving Fuzzy Classifier with Incremental Clustering Algorithm Based on Samples Mean Value by Emmanuel Tavares, Gray Farias Moita, Alisson Marques Silva

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Is Diet Perceived as a Cancer Risk Factor? Lay Perceptions in a Representative French Sample by Kristopher Lamore, Valentyn Fournier, Iris Cervenka, Bernard Srour, Jérôme Foucaud

“…The aims of this study were (1) to report the results of the survey concerning participants' awareness of diet/foods as cancer risk factors, (2) to describe the determinants of this awareness, and (3) to compare the results of the 2010, 2015, and 2021 surveys. Methods A randomly selected representative sample of participants aged from 15 to 85 years (n = 4938) was surveyed in 2021. …”
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Non-invasive electrophysiological monitoring vs conventional monitoring during labour in a tertiary obstetric care centre in the Netherlands: study protocol of a cohort intervention random sampling study (NIEM-II study) by S G Oei, P B Q Berben, N D de Klerk, M van der Ven, A F Fransen, H J Niemarkt, E R van den Heuvel, M B van der Hout-van der Jagt, J O E H van Laar

“…From these women, 90.9% of women will be randomly sampled and will be offered electrophysiological monitoring. …”
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Acceptability and Feasibility of Using Hair Samples for Chronic Stress Measurement Among Transgender Women in Brazil by Sophia Zamudio‐Haas, Paula Galdino Cardin de Carvalho, Alexander Marr, A. Rain Mocelle, Antonio Moscatelli, Katia Cristina Bassichetto, Gustavo Santa Roza Saggese, Patric V. Prado, Roy Gerona, Sheri A. Lippman, Maria Amélia Veras, Jae M. Sevelius

“…Hair samples were collected and stored using validated protocols. …”
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Entropy-Based Emotion Recognition Using EEG Signals by Yeganeh Alidoost, Babak Mohammadzadeh Asl

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Efficient intelligent fault diagnosis method and graphical user interface development based on fusion of convolutional networks and vision transformers characteristics by Chaoquan Mo, Ke Huang, Houxin Ji, Wenhan Li, Kaibo Xu

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Three novel cost-sensitive machine learning models for urban growth modelling by Mohammad Ahmadlou, Mohammad Karimi, Saad Sh. Sammen, Karam Alsafadi

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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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Exploring the causal link between serum 25-hydroxyvitamin D concentrations and idiopathic sudden sensorineural hearing loss: Insights gained from a Mendelian randomization study involving two independent samples by Ying Zhao, Cong Yu, Hengchang Sun, Fangmei Xie, Jian Shen, Xiaoming Li, Xiaoyu Song, Wenfeng Luo, Jinhua He, Zeping Han

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Arterial hypertension epidemiology in Bryansk Region: prevalence, awareness, treatment, and control by V. E. Erchenkova, V. V. Konstantinov, T. N. Timofeeva, A. M. Nedbaykin, A. D. Deev, V. K. Serkov

“…Material and methods. Random representative samples of the urban and rural Bryansk Region population - men and women aged 19-64 years - were selected. …”
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Antibiogram Study of Bacterial Pathogen from Tilapia Fish in Bangladesh by Sume Begum, Md. Salauddin, Md. Khaled Hossain, Mst. Deloara Begum

“…A serial dilution was prepared with the stated sample and at the amount of 0.1 ml was plated on nutrient agar, differential also specific media respectively. …”
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