SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

“…Comparison experiments validate the effectiveness of semantic analysis of user behavior and multi-hop path inference, while cold-start experiments further confirm the robustness of the model in sparse-data scenarios. …”
Get full text

Efficacy of a Waist-Mounted Sensor in Predicting Prospective Falls Among Older People Residing in Community Dwellings: A Prospective Cohort Study by Ka-Ming Lai, Kenneth N. K. Fong

“…Participants were categorized into moderate- or high-risk groups for falls using the sensor and further assessed with physical function tests, including the Single Leg Stand Test (SLST), 6 Meter Walk Test (6MWT), and Five Times Sit to Stand Test (5STS). …”
Get full text

Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…Through an OCCAM inversion approach, the regularization factor is dynamically determined by evaluating the norms of the data objective function and model objective function in each iteration, thereby reducing the reliance of inversion results on the initial model. …”
Get full text

Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks by Moh. Alfi Amal, Herlina Napitupulu, Sukono

“…The quantitative research methodology involves formulating an algorithm to solve the global optimization problem in portfolio investment with mathematical calculations and quantitative data analysis. The objective function is to maximize the mean-value-at-risk model for portfolio investment, with constraints on the capital allocation weights in each stock within the portfolio. …”
Get full text

Comprehensive profiling of cell type-specific expression and distribution of complement genes in mouse and human kidneys: insights into normal physiology and response to kidney tra... by Xianzhi Li, Li Zhu

“…Background Recent studies innovatively revealed the localized expression of complement genes in kidneys and shed light on the vital roles of the intracellular complement system in the physiologic function and pathological conditions. However, a comprehensive analysis of the expression of complement genes in the context of the evolving cellular landscape of the kidney is not available.Methods We analyzed single-cell RNA sequencing data from healthy human subjects, C57BL/6 mice, and kidney transplant-rejected mice. …”
Get full text

White blood cells, monocytes and thrombin time in predicting symptomatic hydrocephalus in patients with aneurysmal subarachnoid hemorrhage by Hui Deng, Hongjuan Yang, Ruoyu Chen, Wei Xing, Jia Shi

“…Further analysis of the area under the receiver operating characteristic (ROC) curve indicated that, compared to basic clinical data, the combined prediction model of “basic clinical data + WBC + M + TT” performed better (AUC = 0.728, 95% CI = 0.682–0.769, P = 0.004).ConclusionsThe WBC, M and TT within 24 h of admission in aSAH patients can be used to predict the occurrence of acute symptomatic hydrocephalus.…”
Get full text

Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…Image fusion offers robust solution by integrating the data from multiple sources to produce more comprehensive and informative output. …”
Get full text

Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

“…Finally, a mathematical classification model K-NN (k-nearest neighbors type) was developed in order to identify a transfer function capable of discriminating the hyperspectral data based on a threshold value of absolute leaf humidity. …”
Get full text

Proteomic profiling of the outer membrane fraction of the obligate intracellular bacterial pathogen Ehrlichia ruminantium. by Amal Moumène, Isabel Marcelino, Miguel Ventosa, Olivier Gros, Thierry Lefrançois, Nathalie Vachiéry, Damien F Meyer, Ana V Coelho

“…Of 46 unique proteins identified in the OM fraction, 18 (39%) were OMPs, including 8 proteins involved in cell structure and biogenesis, 4 in transport/virulence, 1 porin, and 5 proteins of unknown function. These experimental data were compared to the predicted subcellular localization of the entire E. ruminantium proteome, using three different algorithms. …”
Get full text

Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

“…The study’s purpose is to comprehend the vital function performed by DL methods in supporting healthcare professionals in easier skin cancer detection using big data networks. …”
Get full text

Psychometric findings for LIMB-Q kids based on an international study of 800 children and adolescents with lower limb differences by Harpreet Chhina, Charlene Rae, David Podeszwa, James A. Fernandes, Louise Johnson, Bjoern Vogt, Jan Duedal Rolfing, Alicia Kerrigan, Ashish Ranade, Juergen Messner, Mohan Belthur, Melissa Esparza, Jonathan Wright, David Bade, Sarah McMahon, Christopher Iobst, Sanjeev Sabharwal, Marcel Abouassaly, Anthony Cooper, Anne F. Klassen

“…Participants were aged 8 years and older (mean = 13, standard deviation = 3.2, range 8–25 years) and had a broad range of LLDs (e.g., Leg Length Discrepancy, Fibular Hemimelia, Skeletal Dysplasia, Blount’s disease, Posteromedial Tibial Bowing, Osteogenesis Imperfecta, Congenital Pseudarthrosis of Tibia, Tibial Hemimelia and Amputations). RMT analysis provided evidence of the reliability and validity of 9 independently functioning scales that measure leg appearance, physical function, symptoms (hip, leg, knee, ankle, and foot), leg-related distress, and social, and psychological function. …”
Get full text

microRNA‐122 as a regulator of mitochondrial metabolic gene network in hepatocellular carcinoma by Julja Burchard, Chunsheng Zhang, Angela M Liu, Ronnie T P Poon, Nikki P Y Lee, Kwong‐Fai Wong, Pak C Sham, Brian Y Lam, Mark D Ferguson, George Tokiwa, Ryan Smith, Brendan Leeson, Rebecca Beard, John R Lamb, Lee Lim, Mao Mao, Hongyue Dai, John M Luk

“…To elucidate the microRNA (miRNA)–gene interaction network in carcinogenesis, we examined their genome‐wide expression profiles in 96 pairs of tumor/non‐tumor tissues from hepatocellular carcinoma (HCC). Comprehensive analysis of the coordinate expression of miRNAs and mRNAs reveals that miR‐122 is under‐expressed in HCC and that increased expression of miR‐122 seed‐matched genes leads to a loss of mitochondrial metabolic function. …”
Get full text

The Survival Line: A Case Study in Anti-Carceral Community-Based Hotline Work by Brianna J. Suslovic

“…This study mobilizes archival research methods to analyze call records, meeting minutes, publicity materials, and internal memos from the Chicago Urban League and its Survival Line archives. This archival analysis found that the Survival Line served multiple functions; it was a non-state response to urban crises, a vehicle for Black solidarity, and a mechanism for gathering data on crime and police misconduct in the city. …”
Get full text

Global View on Statistical Models of Sea Surface Elevations by Zapevalov Aleksander

“…This limits the scope of their application. The analysis of the probability density functions of the troughs FT h and crests FCr showed that the function calculated for Aη < 0 in the region above the distribution mode exceeds the values corresponding to the Rayleigh distribution, and the relationship FT h ≈ FCr holds. …”
Get full text

Association of quality of life in older patients with breast cancer: a cross-sectional study from China by Xi Chen, Qing Li, Xiang Wang, Lei Ji, Jintao Zhang, Qiao Li, Min Xiao, Shanshan Chen, Pin Zhang, Jiani Wang, Heng Cao, Xiaoyan Qian, Meng Xiu, Zhuoran Li, Yiqun Li, Xiaojuan Zheng

“…The data were analysed using network analysis and path analysis.Results Out of the 136 possible edges in the final networks, 84 (61.8%) were non-zero. …”
Get full text

Visitor motivations and use of Information communication technology at a coastal destination: the case of limbe – Cameroon by Paul Nkemngu Acha-Anyi, Vikelwa Judith Nomnga

“…This study recommends, inter alia, that destinations such as Limbe make ICT a functional and complementary aspect of their product experience. …”
Get full text

Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation by Srijith Sasikumar, S Pavan Kumar, Nirav Pravinbhai Bhatt, Himanshu Sinha

“…Abstract Genome-scale metabolic models (GEMs) are powerful tools used to understand the functional effects of genetic variants. However, the impact of single nucleotide polymorphisms (SNPs) in transcription factors and their interactions on metabolic fluxes remains largely unexplored. …”
Get full text

Perspectives and Experiences With Large Language Models in Health Care: Survey Study by Jennifer Sumner, Yuchen Wang, Si Ying Tan, Emily Hwee Hoon Chew, Alexander Wenjun Yip

“… BackgroundLarge language models (LLMs) are transforming how data is used, including within the health care sector. …”
Get full text

Characterization and prognostic of CD8 + TIM3 + CD101 + T cells in glioblastoma multiforme by Hong-Liang Wang, Sai Li, Chun-Chun Ma, Xiang-Hu Zheng, Hao-Yuan Wu, Chen-Xi Chang, Zhi-Hao Yang, Jia-Wei Wang, Fa-Ming Pan, Bing Zhao

“…DEGs were identified, and cell trajectories were constructed using Seurat, Monocle 2, and CellChat packages. Functional enrichment analysis was conducted with clusterProfiler, and a prognostic model was developed. …”
Get full text

Systematization of effective population-based preventive measures under uncertainty: an ontological approach by E. I. Suvorova, A. V. Kontsevaya, A. P. Ryzhov, A. O. Myrzamatova, D. K. Mukaneeva, M. B. Khudyakov, O. M. Drapkina

“…Modeling the socio-economic effect of population-based strategies begins with the choice of a preventive measure with a proven effect, which can indirectly, through a decrease in the risk factors’ prevalence, preclude new cases of chronic diseases among the population of Russia and reduce the related costs in the future.Conclusion. Ontological analysis made it possible to identify the functional structure of population-based prevention and its action under uncertainty. …”
Get full text