Sentinel lymph node mapping with Indocyanine green fluorescence (ICG) for pediatric and adolescent tumors: a prospective observational study by Luca Pio, Celine Richard, Tarek Zaghloul, Andrew J. Murphy, Andrew M. Davidoff, Abdelhafeez H. Abdelhafeez

“…The study collected demographic data, intra-operative findings (Technetium 99 m, ICG fluorescence), and histopathological data. …”
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Global epidemiology of acute generalised peritonitis: a protocol for a systematic review and meta-analysis by Celestin Danwang, Joel Noutakdie Tochie, Aime Mbonda, Ndip Valirie Agbor, Tianyi Tianyi Frank Leonel, Desmond Aji Abang

“…Publication bias will be evaluated statistically and visually using the Egger’s test and funnel plots, respectively. …”
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Harnessing the application of halophytic flora biomass in the management of healthcare of local people in the Salt Range of Punjab by Moona Nazish, Asif Kamal, Muhammad Zafar, Muhammad Azhar Khan, Khursheed Ur Rahman, Mushtaq Ahmad, Sadeed Arif, Dunia A Al Farraj, Mohamed S Elshikh, Maximilian Lackner

“…Abstract The dependence of rural communities on salt-tolerant medicinal plants provides practical evidence of their utilization in healthcare systems in Salt ranges. Ethnomedicinal data were collected and documented by interrogating 138 local people and 13 traditional health practitioners using a visual appraisal approach, semi-structured interviews, rapid rural appraisal methods, and open-ended questionnaires, separately for each species and interviewee, in different localities of the Salt Range. …”
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Geographic Distribution and Future Projections of Mild Cognitive Impairment and Dementia in Greece: Analysis from 1991 to 2050 by Themis P. Exarchos, Konstantina Skolariki, Vasiliki Mahairaki, Constantine G. Lyketsos, Panagiotis Vlamos, Nikolaos Scarmeas, Efthimios Dardiotis, on behalf of the Hellenic Initiative Against Alzheimer’s Disease (HIAAD)

“…These prevalence rates were then applied to population data from each census to estimate the number of affected individuals per region. …”
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Construction of a Real-Time Detection for Floating Plastics in a Stream Using Video Cameras and Deep Learning by Hankyu Lee, Seohyun Byeon, Jin Hwi Kim, Jae-Ki Shin, Yongeun Park

“…Improving tracking labels and refining data collection are recommended to enhance precision for applications in freshwater pollution monitoring.…”
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Place-based Educational Development: What Center for Teaching and Learning Spaces Look Like (and Why That Matters) by Brian Smentkowski, Karen Huxtable-Jester, Laura Cruz, Martin Springborg

“…This study seeks to explore the physical spaces centers for teaching and learning (CTLs) occupy; with an emphasis on gaining a better picture of what CTL spaces look like; where they are located; how they developed: and what these spaces represent. We gathered visual, empirical, and qualitative data to take the first steps towards developing a shared vision of not only of our physical spaces, but also as a jumping off point for further analysis of the CTL as a meaningful place.…”
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Bibliometric analysis of sustainable energy transition and climate action in sub-Saharan Africa with a focus on Nigeria by Enoch I. Obanor, Joseph O. Dirisu, Oluwaseun O. Kilanko, Olayinka S. Ohunakin, Oluseyi O. Ajayi, Sunday O. Oyedepo

“…This study presents a bibliometric analysis of scholarly research on sustainable energy transition and climate action in sub-Saharan Africa between 2014 and 2024, with a particular focus on Nigeria. Using data from Scopus and Web of Science, 412 peer-reviewed publications were analysed to identify trends in authorship, thematic clusters, institutional collaboration, and alignment with Sustainable Development Goals (SDGs) 7 and 13. …”
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The Te Kāhui Kuhukura wellbeing index by John Reid, Amanda Yates

“…Earlier research developed an urban mauri-centered “compass” that oriented users towards nature-based and socio-ecological approaches to urban wellbeing. An urban wellbeing data display was also developed that measured and visualised current states of social, cultural and ecological wellbeing. …”
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EILnet: An intelligent model for the segmentation of multiple fracture types in karst carbonate reservoirs using electrical image logs by Zhuolin Li, Guoyin Zhang, Xiangbo Zhang, Xin Zhang, Yuchen Long, Yanan Sun, Chengyan Lin

“…Karst fractures serve as crucial seepage channels and storage spaces for carbonate natural gas reservoirs, and electrical image logs are vital data for visualizing and characterizing such fractures. …”
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Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA by Saad Javed Cheema, Aitazaz A. Farooque, Mehdi Jamei, Khabat Khasravi, Farhat Abbas, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal

“…The model was further evaluated using five empirical equations of FAO-56. The input data included seven daily meteorological variables, including maximum, minimum, mean, relative humidity, Wind, and Slope, extracted from 2018 to 2023 datasets to compute ETo and Kpan locally measured Epan. …”
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GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development by Neil Bodagh, Steven Niederer, Mark O’Neill, Rachel Burns, Darwon Rashid, Steven E Williams, Miguel O Bernabeu, Ali Gharaviri, Vinush Vigneswaran, Magda Klis, Irum Kotadia, Malihe Javidi, Kyaw Soe Tun, Adam Barton

“…The dataset will enable image-based AI-ECG algorithm development, ensuring utility in low resource areas, prehospital settings and hospital environments where signal data are unavailable.…”
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…Our approach achieves an impressive accuracy of 99.11%, with 99% precision and recall, outperforming models like MobileNet and VGG19, especially when combined with data augmentation and ablation studies. The model achieved an average training accuracy of 99.41% and a validation accuracy of 98.88% in 10-fold cross-validation, showing strong generalization to unseen data. …”
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Combined carbapenem resulted in a 4.48-fold increase in valproic acid clearance: a population pharmacokinetic model in Chinese children and adults with epilepsy or after neurosurge... by Luofei Zhang, Luofei Zhang, Ruoyun Wu, Ruoyun Wu, Xingmeng Li, Weixing Feng, Zhigang Zhao, Zhigang Zhao, Shenghui Mei, Shenghui Mei

“…Goodness-of-fit plots, bootstrap, visual predict check and normalized prediction distribution showed acceptable data fit, stability, and predictability of the model. …”
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An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts by Pascal Biermann, Claas Baier, Ann Christin Vietor, Benedikt Zacher, Tom Baumgartl, Tatiana von Landesberger, Michael Behnke, Michael Storck, Markus Petzold, Martin Kaase, HiGHmed lnfection Control Study Group, Dirk Schlüter, Michael Marschollek, Simone Scheithauer, Antje Wulff

“…The open-source Smart Infection Control System (SmICS) offers automatic calculations and interactive views on patients' movement and lab data, epidemic curves, contact networks, complemented by temporal-spatial visualizations. …”
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Weight-adjusted-waist index: an innovative indicator of breast cancer hazard by Xinyi Huang, Hengzheng Cheng, Laifu Deng, Shuting Wang, Jiaxiu Li, An Qin, Chunqiang Chu, Wenyi Du, Xiao Liu

“…The waist circumference was divided by the square root of the body’s mass to compute WWI. Data were assessed via descriptive statistics to present data distributions according to BC grouping and WWI grouping, receiver operating characteristic curves (ROCs) to evaluate the obesity indicators’ applied value, logistic regression to reflect associations between WWI and BC prevalence, and restricted cubic splines (RCSs) and subgroup analysis forest plots to visualise and complement the relationships. …”
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Comparison of the Main Staging Systems for Assessing the Severity of Lung Injury in Patients with COVID-19 and Evaluation of Their Predictive Value by Y. S. Kudryavtsev, M. M. Beregov, A. B. Berdalin, V. G. Lelyuk

“…Chest CT scans and anamnestic data in patients hospitalized to a non-specialized center repurposed for the treatment of new coronavirus infection, were analyzed. …”
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PEMETAAN PENGGUNAAN LAHAN SAWAH BERDASARKAN PENDEKATAN EKOLOGI BENTANG LAHANMENGGUNAKAN CITRA PEREKAMAN TUNGGAL by Algi Variski Hasibuan, Projo Danoedoro, Sigit Heru Murti

“…While multitemporal data has been widely used by researchers and proven effective, using single-date imagery can be more efficient. …”
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Spatial transcriptomics of fetal membrane-Decidual interface reveals unique contributions by cell types in term and preterm births. by Lauren S Richardson, Mary Elise Severino, Rahul Chauhan, Weibin Zhang, Marian Kacerovsky, Suresh K Bhavnani, Ramkumar Menon

“…Our visual analytical approach revealed spatially recognized differentially expressed genes that aligned with four gene clusters. …”
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Prevalence of allergic rhinitis, atopic dermatitis, and wheezing at 15 and 22 years of age: the 1993 Pelotas (Brazil) Birth Cohort Study by Gabriela Ávila Marques, André F. S. Amaral, Valéria Lima Passos, Priscila Weber, Paula Duarte de Oliveira, Ana Maria Baptista Menezes, Helen Gonçalves, Fernando César Wehrmeister

“…The outcomes were assessed based on self-reported data, and the patterns of co-occurrence were determined using cluster analysis. …”
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From Pixels to Patterns: Trait Plasticity and Species Overlap of Calanus spp. in Arctic Fjords by Emilia Trudnowska, Ali Bukhari, Marta Gluchowska, Mads Schultz, Irina Smolina, Joanna Stoń‐Egiert, Jędrzej Świeżewski, Kaja Balazy

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