Predictors of Fetal Attachment, Anxiety, Stress, and Worry in Unintended Pregnancies in the Primary Care Center in Southern Iran by Hajar Tahmasebi, Ruth Nukpezah Nimota, Andrew Fournier, Zohreh Hosseini Marznaki, Ali Mohammad Parviniannasab, Fatemeh Keshavarzi

“…Data were analyzed in SPSS software using binary logistic and multiple linear regression tests. …”
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Effect of Nonparallel End Face on Energy Dissipation Analyses of Rocklike Materials Based on SHPB Tests by Pu Yuan, Ning-Ning Wei, Qin-Yong Ma

“…At peak dynamic stress, dissipated energy density presents a linear upward trend with the increment of end-face nonparallelism and Young’s modulus, while releasable elastic strain energy density shows an inverse trend. A binary linear regression equation is deduced to estimate the energy dissipation ratio. …”
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Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients by Qi-jiang Xu, Qi-jiang Xu, Zhi-yun Zang, Xue-li Zhou, Xue-li Zhou, Ni-ya Ma, Li Pu, Li Pu, Zi Li

“…The risk prediction model for frequent episodes in PDAP patients was constructed by the binary logistic regression.ResultsWe included 371 PDAP patients, of which 235 patients had single episode and 136 had frequent episodes. …”
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Prevalence and predictors of overweight and obesity among women of childbearing age in the province of Essaouira, Morocco by Abdelmounaim Manoussi, Nezha Nacer, Imane Kajjoune, Abdellatif Baali, Hakima Amor, Nadia Ouzennou

“…Bivariate analysis revealed that age, education level, socioprofessional activity, family structure, household income and parity were significantly associated with overweight. Binary logistic regression confirmed that women’s age and level of education are major determinants of overweight/obesity. …”
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On expansions for nonlinear systems Error estimates and convergence issues by Beauchard, Karine, Le Borgne, Jérémy, Marbach, Frédéric

“…Inspired by quantum mechanics, we introduce a new mixed expansion, designed to isolate the role of a time-invariant drift from the role of a time-varying perturbation.Second, in the context of nonlinear ordinary differential equations driven by regular vector fields, we give rigorous proofs of error estimates between the exact solution and finite approximations of the formal expansions. …”
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Intratesticular Angiolipoma: A Rare Case of Adipose Tissue Presence in the Testis by V. Kalyvas, C. Gkekas, D. Papadopoulos, A. Malioris, S. Milias, M. Papathanasiou, N. Kalinderis, K. Moysidis, K. Hatzimouratidis

“…Angiolipomas commonly occur in the subcutaneous tissue and have been invariably treated by radical excision. Hereby, we report the first case of an intratesticular, noninfiltrating type angiolipoma which was treated by partial orchiectomy.…”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…Presented here is a new machine learning-based workflow for the analysis of microscopy images named FIRM (Feature Identification from Raw Microscopy) that uses a random forest classifier to identify ECM features of interest and generate binary segmentation masks for quantification with ImageJ-FIJI. …”
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Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China by Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao

“…The method integrates ground sample collection of major crops and inactive cropland with Normalized Difference Vegetation Index (NDVI) analysis during key growth stages, enabling precise classification of cultivation status. By employing a binary classification strategy and adaptive optimization, the efficiency of sample generation improved, providing more effective samples for the Random Forest algorithm. …”
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Patient experiences and discomfort associated with mid-palatal temporary skeletal anchorage devices by Aoife P. Barry, Vanessa Knode, Padhraig S. Fleming, Björn Ludwig

“…Reponses involved the use of a Visual Analogue Scale as well as binary information. Results Overall, 152 responses were obtained with 87.5% describing experience of TSAD insertion either “as expected” or “better”. …”
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Modifying Factors and Level of Knowledge About Pregnancy Danger Signs That Influence Antenatal Care Utilization Compliance by Widia Shofa Ilmiah, Sulistiyah

“…Total sampling, questionnaires, MCH books, and observation sheets were used as data-collecting techniques. A study of binary logistic regression was used. According to the findings, there was no discernible impact of schooling on ANC compliance (p = 0.546). …”
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Uncovering the Hydrocracking Efficiency of Iron-Based Catalysts: A Novel Approach to Asphaltene Transformation in Iranian Heavy Oil by Muzaffer Yaşar, Savaş Gürdal, Kadir Yılmaz

“…A series of catalyst precursors, encompassing FeSO4·H2O, its binary mixtures with metal oxides (Fe2O3, Al2O3, CaO, SiO2), and combinations of Fe2O3, Al2O3, and SiO2 with elemental sulfur, were evaluated. …”
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Physically Meaningful Surrogate Data for COPD by Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic

“…Deep learning techniques are “data hungry” whilst patient-based data is invariably expensive and time consuming to record. To this end, we introduce a novel COPD-simulator, a physical apparatus with an easy to replicate design which enables rapid and effective generation of a wide range of COPD-like data from healthy subjects, for enhanced training of deep learning frameworks. …”
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Protocol for a Cluster Randomized Controlled Trial to Reduce Susceptibility to Tobacco Use Among School Going Adolescents in a South-Indian District—(Project TEACH) by Priyanka Bantwal, Veena G Kamath, John Britton, Ilze Bogdanovica, Manjula A Kunder, Samir K Praharaj, Muralidhar M Kulkarni

“…For multivariable analyses, the binary logistic regression analysis is used to establish a risk model to correlate the socio-demographic factors with susceptibility to tobacco use and awareness of the harms of tobacco. …”
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The prevalence and risk factors of diabetes and hypertension among police personnel: A population-based cross-sectional study by Deepak V. Chaturvedi, Digant Gupta, Darpan M. Maheshgauri, Gauri E. Yadav, Dhrubajyoti J. Debnath, Asmita D. Chaturvedi

“…The key risk factors of interest were age, gender, and body mass index (BMI). Binary logistic regression was used to quantify the relationship between the independent variables (age, gender, and BMI) and the dichotomous dependent variables (diabetes and hypertension). …”
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Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification by Chun-Chao Huang, Hsin-Fan Chiang, Cheng-Chih Hsieh, Bo-Rui Zhu, Wen-Jie Wu, Jin-Siang Shaw

“…<b>Background:</b> This study aimed to evaluate the effect of sample size on the development of a three-dimensional convolutional neural network (3DCNN) model for predicting the binary classification of three types of intracranial hemorrhage (ICH): intraparenchymal, subarachnoid, and subdural (IPH, SAH, SDH, respectively). …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Results Our ML‐based radiogenomic modeling identified specific imaging features—wavelet, three‐dimensional local binary patterns, and logarithmic sigma of gray‐level variance—as predictive indicators for high (1) vs. low (0) gene expression of pivotal NSCLC‐related genes: SLC35C1, BCL2L1, and MAPK1. …”
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Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm by Arebu Dejen, Murad Ridwan, Jeevani Jayasinghe, Jaume Anguera

“…The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimized the patch geometry using a binary-coded genetic algorithm. The algorithm iteratively creates a new shape of the path surface, evaluates the cost function, and returns the best-fitted geometry based on the formulated fitness function. …”
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On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

“…The proposed method is based on adversarial validation, which is an approach that can check whether sample data and prediction locations can be separated with a binary classifier. The proposed method is called dissimilarity quantification by adversarial validation (DAV). …”
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A framework to comprehensively assess lake health from a perspective of ecosystem integrity and services by Zhixuan Zhao, Fangfei Wei, Haotian Wu, Miao Yang, Xin Jin, Pengzhe Wang, Qing Wang

“…In addition, a fuzzy binary comparison method was used to assign the optimum weights for each index. …”
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Prognostic Factors of IVF&ICSI Cycle Cancellation in Patients with Endometriosis-Related Infertility by Elif Kulahci Aslan, Kiper Aslan, Cihan Cakir, Isil Kasapoglu, Berrin Avci, Baris Ata, Gurkan Uncu

“…Antral follicle count remained as the only independent factor associated with prognoses of the IVF cycle with binary logistic regression analysis. Cancellation rates were similar between the phenotypes of endometriosis. …”
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