An introduction to causal discovery by Martin Huber

“…Causal discovery, in contrast, aims to uncover causal relationships among multiple variables in a data-driven manner, by investigating statistical associations rather than relying on predefined causal structures. …”
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The Savvy Survey #11: Mail-Based Surveys by Glenn D. Israel, Jessica L. Gouldthorpe

“…Mail surveys can be an effective way to collect data for needs assessments in program planning or for follow-up surveys evaluating outcomes of Extension programs. …”
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Étude de l’expérience du sujet pour l’évaluation de nouvelles technologies by Béatrice Cahour, Christian Brassac, Pierre Vermersch, Jean-Léon Bouraoui, Bernard Pachoud, Pascal Salembier

“…An analysis of these data emphasises the uncomfortable dissymmetry generated by the tool in terms of controlling visual exploration, the difficulty following the unexpected movements of the other person and the off-setting of concurrent emotional states. …”
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Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas by Ken Takeda, Kota Abe, Jun Kitazono, Masafumi Oizumi

“…Applying this method to Neuropixels recordings in mice and fMRI data in humans viewing natural scenes, we found that the neural representations in the same visual cortical areas can be well aligned across individuals in an unsupervised manner. …”
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Enhancing Forensic Analysis of Construction Project Delays Through Digital Interventions by Serife Ece Boyacioglu, David Greenwood, Kay Rogage, Andrew Parry

“…A Design Science Research (DSR) approach is adopted, with data collection methods that involve the use of the literature, archival materials, case studies and survey methods. …”
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Mortality atlas of the main causes of death for the elderly population (≥75 years) in Switzerland during 2010–2020 by Taru Singhal, Kaja Widmer, Anton Beloconi, Suzanne Dhaini, Matthias Schwenkglenks, Cordula Blohm, Rolf Weitkunat, Sabina De Geest, Penelope Vounatsou

“…METHODS: We analysed Swiss mortality data, provided by the Swiss Federal Statistical Office, for the elderly population (≥75 years) for the period 2010–2020. …”
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Linear Total Variation Approximate Regularized Nuclear Norm Optimization for Matrix Completion by Xu Han, Jiasong Wu, Lu Wang, Yang Chen, Lotfi Senhadji, Huazhong Shu

“…Matrix completion that estimates missing values in visual data is an important topic in computer vision. …”
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Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

“…The former included the patients’ age, best corrected visual acuity (BCVA), computer perimetry data, the axial length, and the thickness of the retina in the central zone. …”
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Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy by Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai, Hang Ye

“…The patients were divided into a non-fungal infection group and a fungal infection group based on whether a fungal infection occurred within three months post-surgery. The patient data from January 2016 to December 2023 were used as training data, and the patient data from January 2024 to March 2024 were used as testing set. …”
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Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

“…Additionally, the surrogate model is optimized by the particle swarm algorithm, and the temperature field distribution is visualized with the grid node data. The calculation result of the internal temperature of the 110 kV single-core high-voltage cable shows that the proposed surrogate model-based fast calculation method for power cable temperature field has high accuracy and efficiency.…”
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A Multimodal Study of Selected Campaign Posters of All Progressives Congress's Presidential Candidate in Nigeria 2023 General Elections by Davidson M. Omole, Bibian Ugoala

“…The data were descriptively analysed using Kress & van Leeuwen's (2006) social semiotic theory of multimodal discourse analysis. …”
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Leveraging Feature Fusion of Image Features and Laser Reflectance for Automated Fish Freshness Classification by Caner Balım, Nevzat Olgun, Mücahit Çalışan

“…This study proposes a novel, cost-effective hybrid methodology for automated three-level fish freshness classification (Day 1, Day 2, Day 3) by integrating single-wavelength laser reflectance data with deep learning-based image features. A comprehensive dataset was created by collecting visual and laser data from 130 mackerel specimens over three consecutive days under controlled conditions. …”
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PAB-Mamba-YOLO: VSSM assists in YOLO for aggressive behavior detection among weaned piglets by Xue Xia, Ning Zhang, Zhibin Guan, Xin Chai, Shixin Ma, Xiujuan Chai, Tan Sun

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Corneal Biomechanics as a Causal Factor in Myopia and Astigmatism: Evidence from Mendelian Randomization by Pinghui Wei, PhD, Guoge Han, PhD, Qi Su, MBBS, Lanbo Jia, MBBS, Chao Xue, PhD, Yan Wang, PhD

“…Participants: Corneal biomechanical data were obtained from 97 653 European participants in the UK Biobank, whereas refractive error data were sourced from the UK Biobank and FinnGen consortia. …”
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A New Earth System Spatial Grid Extending the Great Circle Arc QTM: The Spherical Geodesic Degenerate Octree Grid by Yilin Ren, Mengyun Zhou, Aijun Zhong

“…The SGDOG has the potential to organize and manage global spatial data and perform large-scale visual analysis of the Earth system.…”
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Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images by Xiao Pan, Chengtao Wang, Xuhui Luo, Qi Dong, Haiyang Sun, Wentao Zhang, Hongyan Qu, Runzhi Deng, Zitong Lin

“…Average symmetric surface distance (ASSD) and symmetric mean curve distance (SMCD) were used for quantitative evaluation of this model for both internal testing data and partial external testing data. Visual scoring (1–5 points) were performed to evaluate the accuracy and generalizability of MC localization for all external testing data. …”
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Modern Methods for the Diagnosis of Morphological and Functional Features of the Retina in Dysbinocular and Anisometropic Amblyopia by R. R. Khubieva, E. P. Tarutta

“…Anomalies of refraction, complicated by amblyopia and squint, occupy one of the leading places in the pathology of the visual system of children. According to data obtained from 26 regions of Russia, the leading place in the ocular morbidity of children and adolescents is occupied by ametropia and strabismus with amblyopia. …”
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Trust frameworks and technology: water quality engagement with Australian farming stakeholders by Aaron M. Davis, Anthony J. Webster, Simon Fielke, Luke Buono, Sheriden Morris, Rickard Abom

“…Provision of near real-time visual evidence of the ‘data’ (e.g., nitrate-nitrogen readings, rainfall data and river heights at local scales) helped break down historic communication barriers and led to the articulation of farmer trust and confidence in the water quality science as partners in the scientific process. …”
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Immunoinformatics: Pushing the boundaries of immunology research and medicine by Miyo K. Chatanaka, Antigona Ulndreaj, Dorsa Sohaei, Ioannis Prassas

“…Moreover, the current exponential growth in the generation of research data makes it impossible to handle, analyze, visualize, and interpret such data without the use of advanced computational tools. …”
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Biomarkers for diabetic retinopathy by Maria V. Budzinskaya, Dmitry V. Lipatov, Vladislav G. Pavlov, Denis V. Petrachkov

“…A data analysis on the actual direction of biomedicine, the study of biomarkers in diabetic retinopathy (DR), was done. …”
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