Self-Supervised and Zero-Shot Learning in Multi-Modal Raman Light Sheet Microscopy by Pooja Kumari, Johann Kern, Matthias Raedle

“…By combining 3D tomograms made by Rayleigh scattering, Raman scattering, and fluorescence detection, this modality captures complementary spatial and molecular data, critical for biomedical research, histology, and drug discovery. …”
Get full text

Understanding multimorbidity: insights with graphical models by Erika Banzato, Alberto Roverato, Alessandra Buja, Giovanna Boccuzzo

“…We show how to analyze the network structure learned from the data by introducing and explaining some centrality measures. …”
Get full text

Playbook workflow builder: Interactive construction of bioinformatics workflows. by Daniel J B Clarke, John Erol Evangelista, Zhuorui Xie, Giacomo B Marino, Anna I Byrd, Mano R Maurya, Sumana Srinivasan, Keyang Yu, Varduhi Petrosyan, Matthew E Roth, Miroslav Milinkov, Charles Hadley King, Jeet Kiran Vora, Jonathon Keeney, Christopher Nemarich, William Khan, Alexander Lachmann, Nasheath Ahmed, Alexandra Agris, Juncheng Pan, Srinivasan Ramachandran, Eoin Fahy, Emmanuel Esquivel, Aleksandar Mihajlovic, Bosko Jevtic, Vuk Milinovic, Sean Kim, Patrick McNeely, Tianyi Wang, Eric Wenger, Miguel A Brown, Alexander Sickler, Yuankun Zhu, Sherry L Jenkins, Philip D Blood, Deanne M Taylor, Adam C Resnick, Raja Mazumder, Aleksandar Milosavljevic, Shankar Subramaniam, Avi Ma'ayan

“…The Playbook Workflow Builder (PWB) is a web-based platform to dynamically construct and execute bioinformatics workflows by utilizing a growing network of input datasets, semantically annotated API endpoints, and data visualization tools contributed by an ecosystem of collaborators. …”
Get full text

The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review by E. A. Litvinenko, I. V. Burova

“…Objective: to summarize data on the diagnostic effectiveness of osteoscintigraphy (OSG), as well as to conduct a comparative analysis of various diagnostic methods in bone metastases detection. …”
Get full text

Exploring Socioeconomic Challenges Using Latent Dirichlet Allocation and Text Mining: Convergence Points Between World Bank and The International Monetary Fund Reports by Yasmine Derradj, Rachid Toumache

“…By employing R software, structured data were extracted from unstructured textual content, utilizing Word Cloud visualization, "beta" frequencies for topic construction, and "gamma" proportions for topic relevance. …”
Get full text

Technical approaches of 3D reconstruction from protein complex using the mixture of differently stained images: providing suggestive evidence for improving its resolution by Yoon Ho Park, Myeong Seon Jeong, Gang San Song, Tak gwonbaek, Young Kwan Kim, Hyun Suk Jung

“…The integration of these complementary data sets resulted in a more comprehensive structural model. …”
Get full text

COVID-19 Impact on Public Health in Bangladesh: A Comprehensive Analysis of Morbidity, Mortality and Future Scenarios by Mostafa Essam Ahmed Eissa

“…Minitab 17.1.0 was used for analysis and visualization. The data was cleaned and transformed to create new variables like season and case fatality rate. …”
Get full text

Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…This study proposes a hybrid convolutional neural network-spiking neural network (CNN-SNN) architecture to classify AD stages using structural MRI (sMRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). …”
Get full text

ADMM-TransNet: ADMM-Based Sparse-View CT Reconstruction Method Combining Convolution and Transformer Network by Sukai Wang, Xueqin Sun, Yu Li, Zhiqing Wei, Lina Guo, Yihong Li, Ping Chen, Xuan Li

“…Background: X-ray computed tomography (CT) imaging technology provides high-precision anatomical visualization of patients and has become a standard modality in clinical diagnostics. …”
Get full text

Bibliometric analysis of project-based learning in early childhood education: trends in empathy for disability and bicultural practices by Lulu Yuliani, Achmad Hufad, Oong Komar, Cucu Sukmana, Viena Rusmiati Hasanah, Yus Darusman, Lilis Karwati, Ahmad Hamdan, Budi Setiawan

“…This study uses bibliometric analysis based on data from Google Scholar to study the publication trend of research on ‘project-based learning’ in early childhood education (ECE) and identify the relationship between publications in a certain period. …”
Get full text

Adopting TOGAF Framework for Sustainable and Scalable Robusta Coffee Leaf Rust Management by Thein Oak Kyaw Zaw, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Baarathi Balasubramaniam, Suraya Mohammad, Yunus Yusoff, Khairul Shafee Kalid

“…The framework leverages enterprise architecture principles to integrate learning algorithms, image detection, and systematic plantation mapping within a structured approach that enhances data organization, rust severity visualization, and predictive analysis. …”
Get full text

Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia by Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema

“…The primary aim is to assess future climate extremes and their implications for watershed management. The GCM data were bias-corrected using the Distribution Mapping (DM) method in the CMhyd software, using daily precipitation and temperature data from six meteorological stations. …”
Get full text

The JPEG Pleno Learning-Based Point Cloud Coding Standard: Serving Man and Machine by Andre F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira

“…Efficient point cloud coding has become increasingly critical for multiple applications such as virtual reality, autonomous driving, and digital twin systems, where rich and interactive 3D data representations may functionally make the difference. …”
Get full text

Condition Monitoring of Chain Sprocket Drive System Based on IoT Device and Convolutional Neural Network by Sang Kwon Lee, Jiseon Back, Kanghyun An, Sunwon Kim, Changho Lee, Pungil Kim

“…Feature maps for different fault types were obtained from the final CNN convolution layer. For the visualization of fault types, t-stochastic neighbor embedding was employed and applied to the feature maps to convert high-dimensional data into two-dimensional data. …”
Get full text

MTFAP: a comprehensive platform for predicting and analyzing master transcription factors by Jianyuan Zhou, Haojie Yu, Chunhui Lou, Min Yang, Yanshang Li, Qian Yang, Shuhan Li, Chunwang Ji, Song Li, Shuang Wang, Haotian Cao, Xuecang Li, Lian Liu

“…Furthermore, we have developed a Docker file to empower users with the capability to conduct localized analyses Additionally, MTFAP extends support for further analysis and data visualization for the MTFs identified by Coltron and CRCmapper. …”
Get full text

Towards a Novel Digital Twin Framework Proposal Within the Engineering Design Process for Future Engineers: An IoT Smart Building Use Case by Angeliki Boltsi, Dimitrios Kosmanos, Apostolos Xenakis, Periklis Chatzimisios, Costas Chaikalis

“…It comprises seven distinct phases, providing a complete methodology that guides learners from fundamental concepts to advanced applications, including data visualization, real-time simulation, and system optimization. …”
Get full text

Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model by Yan Guo, Quansen Shao, Fujiang Liu, Weihua Lin, Mianzhi Wang, Zhuowu Li, Shuo Chen, Hongchen Liu, Junshen Su, Xianbin Wang

“…Lastly, the experiments verify the impact of different data augmentation multiples on model accuracy, providing valuable insights to guide data augmentation strategies in practical engineering.…”
Get full text

Development and validation of a prognostic nomogram for patients with malignant peritoneal mesothelioma by Xiaohan Wang, RuiTing Liu, Chunli Wang, Jingjing Sun, Dongliang Yang

“…Due to the rarity of MPM, there are few survival prediction models specifically for visualization of malignant peritoneal mesothelioma.ObjectiveThis study aimed to develop a nomogram for the overall survival of MPM based on the Surveillance, Epidemiology, and End Results (SEER) database and the data of Cangzhou People’s Hospital were used for external verification.MethodsPatients screened from the SEER database were divided into a training group and an internal verification group in a 7:3 ratio, with data from Cangzhou People’s Hospital used as the external verification group. …”
Get full text

Reproductive Behavior of Bubalus arnee (Kerr, 1792) (Mammalia: Artiodactyla: Bovidae) in Koshi Tappu Wildlife Reserve and Chitwan National Park, Nepal by Ram Krishna Bhattarai, Rajeev Joshi, Jeetendra Gautam, Birendra Kandel, Bikram Singh

“…We carefully structured the gathered data and input it into a Microsoft Excel spreadsheet to facilitate analysis. …”
Get full text

The role of ICG-fluorescence imaging in abdominal surgical oncology by V. Yu. Dubrovin, S. S. Tymchuk, V. V. Davletshina, R. V. Pavlov, V. A. Kashchenko

“…The purpose of the study was to summarize and analyze the available data on modern methods of additional imaging using indocyanine green (ICG) used in abdominal surgical oncology.Material and Methods. …”
Get full text