Modern approaches to the diagnosis and treatment of cardiac sarcoidosis: results of a cohort study by S. V. Mairina, D. V. Ryzhkova, L. B. Mitrofanova, A. V. Ryzhkov, P. M. Murtazalieva, O. M. Moiseeva

“…To analyze clinical and paraclinical data in patients with documented cardiac sarcoidosis, outlining the key points of diagnosis and selection of the optimal treatment.Material and methods. …”
Get full text

Optimization Configuration Model for Intelligent Measurement Multi-Core Modules Considering “Cloud-Edge-End-Core” Collaboration by Lai Zhou, Qinhao Li, Guoying Lin

“…The results show that the proposed multi-core module optimization configuration model can optimize the selection of intelligent measurement terminal core and smart meter management core according to different application data requirements. …”
Get full text

Using social marketing for the promotion of cognitive health: a scoping review protocol by Claus Vögele, Mathilde Barbier, Caroline Schulte, Anna Kornadt, Carine Federspiel, Jean-Paul Steinmetz

“…Two independent reviewers will assess in detail the abstracts and full text of selected citations against the inclusion criteria. …”
Get full text

Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…In this paper, we introduce a new approach called Adaptive Dilated Convolutional Neural Networks with Gated Recurrent Unit Layer (ADCNN-GRU). Initially, the required signals are collected from the standard data resource. …”
Get full text

PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data by Y. Lin, R. E. Kopp, R. E. Kopp, A. Reedy, A. Reedy, M. Turilli, M. Turilli, S. Jha, S. Jha, S. Jha, E. L. Ashe

Get full text

Early dynamics of clinical and laboratory parameters predict primary refractory disease in patients with metastatic urothelial carcinoma receiving atezolizumab by Guru Sonpavde, Paul J Catalano, Franziska Michor, Christopher J Graser, Thomas O McDonald

“…We used least absolute shrinkage and selection operator-regularized logistic regression models to predict the risk of primary refractory disease employing clinical and laboratory variables.Results 902 patients were evaluable for analysis. …”
Get full text

Genetic Breeding to Improve Freeze Tolerance in Blueberries, a Review by Ye Chu, Josh Clevenger, Kendall Lee, Jing Zhang, Changying Li

Get full text

Haemophilus ducreyi Cutaneous Ulcer Strains Are Nearly Identical to Class I Genital Ulcer Strains. by Dharanesh Gangaiah, Kristen M Webb, Tricia L Humphreys, Kate R Fortney, Evelyn Toh, Albert Tai, Samantha S Katz, Allan Pillay, Cheng-Yen Chen, Sally A Roberts, Robert S Munson, Stanley M Spinola

“…CU and GU strains evolved under similar selection pressures. Like 35000HP, the CU strains were highly susceptible to antibiotics, including azithromycin.…”
Get full text

Identification of M2 macrophage-related genes associated with diffuse large B-cell lymphoma via bioinformatics and machine learning approaches by Jiayi Zhang, Zhixiang Jia, Jiahui Zhang, Xiaohui Mu, Limei Ai

“…Abstract M2 macrophages play a crucial role in the initiation and progression of various tumors, including diffuse large B-cell lymphoma (DLBCL). …”
Get full text

MODAMS: design of a multimodal object-detection based augmentation model for satellite image sets by Rahul Malik, Rachit Garg, Korhan Cengiz, Nikola Ivković, Adnan Akhunzada

“…Based on these probability levels, an Elephant Herding Optimization (EHO) based hyperspectral band-selection model is used, which assists in identification of high priority image bands for classification purposes. …”
Get full text

AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

“…It highlights AI’s role in advancing sustainability in higher education and offers insights for educators, administrators, and policymakers in fostering AI-driven energy efficiency initiatives.…”
Get full text

Genomic diversity of Cameroonian Gudali and Gudali-cross cattle by Youchahou Poutougnigni Matenchi, Matthew Hegarty

“…These results were expected, given the breeding efforts that began in 1952 with the introduction of various exotic (imported taurine) breeds and the Gudali selection initiative. This has affected the effective population size of Gudali, despite the general increase in cattle population in the ranches over that period. …”
Get full text

Continuous Cropping of <i>Tussilago farfara</i> L. Has a Significant Impact on the Yield and Quality of Its Flower Buds, and Physicochemical Properties and the Microbial Communitie... by Zhenbin Huang, Xia Wang, Liangshuai Fan, Xiaojun Jin, Xiang Zhang, Hongyan Wang

“…As the duration of consecutive cropping increases, the quantity and diversity of bacteria in the rhizosphere soil initially increase and then decrease, while the number of fungal species increases by 22.5%. …”
Get full text

Climate change effects on water footprint of crop production: A meta-analysis by Asekhona Dolly Mbewu, Dimpho Elvis Elephant, Hamond Motsi, Patrick Nyambo

“…The study used a combination of the following search words: climate change, climate variability, global warming, drought, water footprint, blue water footprint, green water footprint, grey water footprint, crop production, crop yield, crop water footprint, crop water use, water usage, precipitation, rainfall, and temperature. The selection of articles followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram procedure, ultimately including 33 articles that met the study criteria out of the 938 articles initially retrieved. …”
Get full text

Evolutionary Dynamics and Functional Bifurcation of the C2H2 Gene Family in Basidiomycota by Chao Duan, Jie Yang

“…Synteny network analysis revealed high ancestral conservation in core clusters (Cluster_1–2: 58% homologs) under strong purifying selection (Ka/Ks = 0.18–0.22), while peripheral clusters (Cluster_Mini) approached neutral evolution (Ka/Ks = 0.73). …”
Get full text

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…Hence, early detection is crucial for initiating timely medical interventions and minimizing physical, social, and economic harm. …”
Get full text

Integrating patient and public involvement during the COVID-19 pandemic: lessons from COVID-clinical neuroscience study by Praveen Prathapan, Mark A. Ellul, Emma Collins, Stephen McKeever, Ava Easton, Benedict D. Michael

“…Abstract Background The COVID-19 Clinical Neuroscience Study (COVID-CNS) was a large UK research initiative investigating the clinical features, outcomes and biological mechanisms behind neurological and psychiatric complications from COVID-19. …”
Get full text

Multiple copy number variants of VC1 gene reveal single-copy expression as a key determinant of vicine content by Samson Ugwuanyi, Manar Makhoul, Agnieszka A. Golicz, Christian Obermeier, Rod J. Snowdon

“…Recently, VC1 gene, encoding a bi-functional riboflavin protein, was reported to initiate the v-c biosynthetic pathway in V. faba. In low v-c cultivars, a 2 bp insertion in this gene disrupts its function by causing a frameshift and premature stop codon. …”
Get full text

Trends in low birth weight across 36 states and union territories in India, 1993-2021 by Omar Karlsson, Rockli Kim, SV Subramanian, Akhil Kumar

“…Convergence was robust across sensitivity specifications.Conclusion State-level convergence indicates a potential 'catch-up' phenomenon, where states with initially higher prevalence have experienced greater declines. …”
Get full text

FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…This paper proposes a lightweight UAV infrared small target detection algorithm, FECI-RTDETR. Initially, we introduce a lightweight RFConv-Block module that enhances spatial feature extraction capabilities while reducing computational redundancy. …”
Get full text