Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma by Xuechen Wu, Boxin Liu, Shi-Zhou Deng, Tengteng Xiong, Lin Dai, Bo Cheng

“…The nomogram, integrating the risk score and clinical factors, accurately predicted overall survival. Conclusions This novel risk model highlights the role of disulfidptosis-related immune genes in OSCC prognosis. …”
Get full text

T-2 toxin triggers depression-like behaviors via upregulation of dopamine transporter in nucleus accumbens of male mice by Zhigang Chen, Shaoyi Duan, Jialu Li, Jianming Su, Hongyu Lei

“…Meanwhile, this study establishes a novel causal relation between the neurotoxicant T-2 toxin exposure and the etiology of depression-like behaviors, and provides reference for the prevention and treatment for mycotoxin-induced depression-like symptoms.…”
Get full text

An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images by Najme Zehra Naqvi, K. R. Seeja

“…Hence, this research proposes a novel automated deep-learning approach based on U-Net for segmenting Glioma tumours. …”
Get full text

Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria by Ting Zhu, Shufei Duan, Huizhi Liang, Fujiang Li, Wei Zhang

“…We first designed THE-POSSD, a novel Chinese multimodal emotional pathology expression database, which collected acoustic, glottal, and facial data under emotional stimuli from patients at different disease stages and healthy controls. …”
Get full text

Modeling vaccination prioritization strategies for post-pandemic COVID-19 in the Republic of Korea accounting for under-reporting and age-structure by Geunsoo Jang, Jihyeon Kim, Robin N. Thompson, Hyojung Lee

“…Even though the acute phase of the COVID-19 pandemic is now over, the potential for substantial numbers of cases and deaths due to novel SARS-CoV-2 variants remains. In the Republic of Korea, a strategy of vaccinating individuals in high-risk groups annually began in October 2023. …”
Get full text

Metabolism-Related Adipokines and Metabolic Diseases: Their Role in Osteoarthritis by Zhang Q, Zhao YX, Li LF, Fan QQ, Huang BB, Du HZ, Li C, Li W

“…Due to their central role in regulating inflammation and bone remodeling, metabolic adipokines not only deepen our understanding of MetS-OA pathogenesis but also represent promising targets for novel therapeutic strategies that could slow disease progression and improve clinical outcomes in affected patients.Keywords: osteoarthritis, metabolic syndrome, adipokines…”
Get full text

Construction of Direct Z-Scheme Photocatalyst by Mg1.2Ti1.8O5 and g-C3N4 Nanosheets toward Photocatalytic H2 Production and Disinfection by Sijia Gu, Dan Zhang, Shirong Luo, Heng Yang

“…Exploring a novel and efficient photocatalyst is the key research goal to relieve energy and environmental issues. …”
Get full text

Roles of retinoic acid-related orphan receptor α in high glucose-induced cardiac fibroblasts proliferation by Wenqing San, Qianyou Zhou, Danning Shen, Danyi Cao, Yun Chen, Guoliang Meng

“…Our study proposed RORα as a novel target against high glucose-induced cardiac fibroblasts proliferation, which is beneficial to clarify ideal therapeutic implication for diabetic cardiomyopathy.…”
Get full text

TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…In this paper, we propose a novel system of TepiSense to automatically perform disease surveillance of epidemic-prone diseases. …”
Get full text

The technology landscape for detection of DNA methylation in cancer liquid biopsies by Isabelle Neefs, Joe Ibrahim, Marc Peeters, Guy Van Camp, Ken Op de Beeck

“…Lastly, we believe that multi-omics technologies, which can combine diverse types of biomarkers, will most likely become more important in future clinical applications. Moreover, novel recent technologies are being developed and show promising clinical applications. …”
Get full text

SLC2A5 Correlated with Immune Infiltration: A Candidate Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma by Lianxiang Luo, Jiating Su, Yushi Zheng, Fangfang Huang, Riming Huang, Hui Luo

“…Lung adenocarcinoma (LUAD) is a major subtype of lung cancer with a relatively poor prognosis, requiring novel therapeutic approaches. Great advances in new immunotherapy strategies have shown encouraging results in lung cancer patients. …”
Get full text

Biomarker discovery and phytochemical interventions in Alzheimer's disease: A path to therapeutic advances by Mithila Debnath, Mahir Azmal, Rashid Taqui, Moshiul Alam Mishu, Ajit Ghosh

“…There is an urgent need to identify novel molecular markers for the diagnosis and treatment of AD. …”
Get full text

VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

“…In this paper, we introduce VSRDiff, a DM-based framework for VSR that emphasizes inter-frame temporal coherence and adopts a novel reconstruction perspective. Specifically, the Inter-Frame Aggregation Guidance (IFAG) module is developed to learn contextual inter-frame aggregation guidance, alleviating visual distortion caused by the randomness of diffusion models. …”
Get full text

Cyber Threat Inference Focused on Threat Class Sequence With Threat Class Sequence System by Hyoungjun Kim, Jae-Yeol Kim, Kyung-Ho Lee

“…These attacks have a tendency to continuously expand the scale of the damage during the attack stage. This study developed novel attack-inference techniques for significantly minimizing cyberattack damage. …”
Get full text

A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals by S. Saranya, R. Menaka

“…To our knowledge, this is the first study utilizing an enhanced feature set derived from reduced brain lobes and quantum machine learning for ASD classification, offering a novel and highly accurate diagnostic approach.…”
Get full text

Prognosis Analysis and Validation of Fatty Acid Metabolism-Related lncRNAs and Tumor Immune Microenvironment in Cervical Cancer by Xiaolin Lang, Changchang Huang, Hongyin Cui

“…Multivariate assays were performed on the resulting lncRNAs to create a novel risk model. Survival assays were applied to examine the prognostic abilities of our model. …”
Get full text

Multi-gene precision editing tool using CRISPR-Cas12a/Cpf1 system in Ogataea polymorpha by Senqin Hou, Shibin Yang, Wenqin Bai

“…Furthermore, using this developed CRISPR-Cpf1 system, triple genes were precisely integrated into the genome by one-step, enabling lycopene production in O. polymorpha. Conclusions This novel multiplexed genome-editing tool mediated by CRISPR-Cpf1 can realize the deletion and integration of multiple genes, which holds great promise for accelerating engineering efforts on this non-conventional methylotrophic yeast for metabolic engineering and genomic evolution towards its application as an industrial cell factory.…”
Get full text

Fabrication of nano‐encapsulated angelica (Heracleum persicum) essential oil for enriching dairy dessert: Physicochemical, rheological and sensorial properties by Narin Mhemmedamin Nanakali

“…Abstract In this study, the nanoemulsions containing angelica essential oil (AEO) was used as a novel nano‐carrier for enrichment of dairy dessert. …”
Get full text

Barriers to sustainable green innovation in meeting the challenges of the global economy of firms by A. Escobar, J. Luna, A. Caraballo

“…Social innovation is essential, because it addresses concrete societal problems and promotes collective action and inclusion in novel ways within companies.…”
Get full text

Impact of plastic waste fiber and treated construction demolition waste on the durability and sustainability of concrete by Selvakumar Duraiswamy, Prakhash Neelamegam, M. VishnuPriyan, George Uwadiegwu Alaneme

“…Surface analysis via Scanning Electron Microscopy (SEM) and elemental composition determination using Energy Dispersive Spectroscopy (EDS) revealed minimal fiber damage post-exposure, confirming its efficiency and contribution to higher strength and reduced weight loss in optimum mix. This novel approach combines manually recycled plastic waste as fibers with treated CDW, enhancing concrete properties while promoting sustainability. …”
Get full text