NaDyNet: A toolbox for dynamic network analysis of naturalistic stimuliNaDyNet is open-source and freely available at by Junjie Yang, Zhe Hu, Junjing Li, Xiaolin Guo, Xiaowei Gao, Jiaxuan Liu, Yaling Wang, Zhiheng Qu, Wanchun Li, Zhongqi Li, Wanjing Li, Yien Huang, Jiali Chen, Hao Wen, Binke Yuan

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A new approach to spatial localization of EEG-based electrical activity by А. V. Vartanov

“…A clinical case of applying the new method for EEG analysis of patient paroxysmal activity is presented as well.Results. «Virtually Implanted Electrode» method allowed to quite accurately determine the localization of DBS current sources. …”
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BRAKE the OUTBREAK: a free online simulation helps students learn about vaccination, social distancing, R, and herd immunity by Jessica Albert, Amanda Nouwens, Rena Ahn, Anna Muller, Kait Raffensperger, Grace Nguyen, Tristan Wisont, Anastasia McConachie, Parveet Mundi, Margaret Fitzgibbon, Nathaniel Kremer-Herman, Robert Rutherford

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Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…It is well established that providing visual guidance within demonstration models positively influences the quality of kinesthetic motor imagery (kMI) for complex motor skills. …”
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“Less words, more pictures”: creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management by Virginia LeBaron, Natalie Crimp, Nutta Homdee, Kelly Reed, Victoria Petermann, William Ashe, Leslie Blackhall, Bryan Lewis

“…BackgroundThe Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C) is a remote health monitoring system (RHMS) developed by our interdisciplinary team that collects holistic physiological, behavioral, psychosocial, and contextual data related to pain from dyads of patients with cancer and their family caregivers via environmental and wearable (smartwatch) sensors.MethodsR, Python, and Canva software were used to create a series of static and interactive data visualizations (e.g., visual representations of data in the form of graphs, figures, or pictures) from de-identified BESI-C data to share with palliative care clinicians during virtual and in-person 1-hour feedback sessions. …”
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Ascites as a subject of studies in ovarian cancer by A. B. Villert, L. A. Kolomiets, N. V. Yunusova, A. A. Ivanova

“…Ascites represents an accessible and valuable source of material to identify signals that influence tumor growth. …”
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Dextrosinistral reading of SMILES notation: Investigation into origin of non-sense code from string manipulations by Anup Paul

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Deep Learning Approaches for Wildfire Severity Prediction: A Comparative Study of Image Segmentation Networks and Visual Transformers on the EO4WildFires Dataset by Dimitris Sykas, Dimitrios Zografakis, Konstantinos Demestichas

“…This study incorporates both image segmentation networks and visual transformers, employing a consistent experimental design across various models to ensure the comparability of the results. …”
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Practical investigation for road lighting using renewable energy sources "Sizing and modelling of solar/wind hybrid system for road lighting application" by Maged A. Abu Adma, Said S. Elmasry, Maram Hani Shafiek Ahmed, Ahmed Ghitas

“…Running the hybrid design with both PV & Wind power sources ; load characteristics and output real-time data will be recorded, evaluated ,compared  and validated against the virtual simulation generated by Matlab/Simulink model.…”
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Energy efficiency and productivity improvements analysis in a Brazilian steel plant: simulation model using JaamSim open source software by Rodrigo de Paula Oliveira, Wilson Trigueiro de Sousa Júnior, Roberta Alves, Alexandre Ferreira de Pinho, Helio Tavares de Sá Neto

“…The use of a discrete event simulation methodology and JaamSim®open-source software, provided a low-cost solution and allowed the simulation of results in the virtual scenario, after modification. …”
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Trabecular-Iris Circumference Volume in Open Angle Eyes Using Swept-Source Fourier Domain Anterior Segment Optical Coherence Tomography by Mohammed Rigi, Lauren S. Blieden, Donna Nguyen, Alice Z. Chuang, Laura A. Baker, Nicholas P. Bell, David A. Lee, Kimberly A. Mankiewicz, Robert M. Feldman

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EXPERT LIGHT SOURCES AS AN INSTRUMENTAL METHOD FOR DETECTING HUMAN TEETH AND BONE REMAINS: FEATURES AND PROBLEMS OF APPLICATION IN THE PRODUCTION OF ACCIDENT SCENE EXAMINATION by LESSARD Alek Bryan

“…The article discusses the principles, features and problematic aspects of the use of expert light sources during the accident scene examination in order to detect human teeth and bone remains, located in a concealing environment – an array of inert materials close to them in color, making it difficult to detect the desired objects by visual inspection of the material environment. …”
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Management of multi-source information to identify the typology of the horizontal structures in historical masonry buildings: the case study of the Museum of Capodimonte in Naples... by A. Maione, L.U. Argiento, C. Casapulla, A. Prota

“…Therefore, the management of this multi-source information is a crucial aspect in defining a methodological approach to the structural evaluation of the cultural heritage. …”
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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…To counter this, a virtual inertia and damping controller utilizing battery energy storage, leveraging the virtual synchronous generator concept is proposed in this paper. …”
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Clinical science effects of different mydriatics on retinal and choroidal parameters in healthy adults observed by widefield swept-source optical coherence tomography by Jianmin Shang, Xingtao Zhou, Tian Han, Yuliang Wang, Huo Li, Xiaoliao Peng, Zhuoyi Chen, Yangyi Huang

“…Ophthalmic examinations included visual acuity, intraocular pressure and axial length measurements. …”
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Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

“…Harvesting and quantifying the yield for each blueberry breeding accession are labor-intensive and impractical. Instead, visual ratings as an estimation of yield are often used as a faster way to quantify the yield, which is categorical and subjective. …”
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Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

“…This study proposes a novel nonparametric framework to visualize leadership styles through network diagrams. …”
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Robust style injection for person image synthesis by Yan Huang, Jianjun Qian, Shumin Zhu, Jun Li, Jian Yang

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Mapping Knowledge Landscapes and Emerging Trends for the Spread of Health-Related Misinformation During the COVID-19 on Chinese and English Social Media: A Comparative Bibliometric... by He Y, Liang J, Fu W, Liu Y, Yang F, Ding S, Lei J

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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

“…The AI-DSS transmits model inference results to the AP-LIS, where pathologists can visualize the output in QuPath and/or directly as slide description in the virtual slide tray. …”
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