Decoding Osteosarcoma’s Lactylation Gene Expression: Insights Into Prognosis, Immune Dynamics, and Treatment by Cheng Peng, Chaoqun You, Shuang Cao, Linfei Cheng, Jiaji Ren, Jiashi Cao, Jing Wang, Tielong Liu

“…The methods included unsupervised clustering using “ConsensusClusterPlus” heatmap generation with “pheatmap” pathway analysis from several databases, and immune cell infiltration assessment using the “single-sample Gene Set Enrichment Analysis (ssGSEA)” function. …”
Get full text

The impact of acute bike desk usage before encoding and during early consolidation on memory task performance in university students and use case evaluation in an educational setti... by Ahmed Mohsen Abbas El-Hagrasy, Rachel Anna Marshall, Thuraiya Hilal Said Al-Rawahi, Sally Doherty, Nitya Kumar, Declan Gaynor

“…This study examined the impact of using bike desks on cognitive function and memory among university students. Physical activity during adolescence offers enduring health benefits, yet sedentary behaviors prevail among young adults, posing significant health risks. …”
Get full text

Students learning about evolution through a comic book by Johanna Aringer, Lars Wallner, Ammie Berglund

“…However, teaching evolution poses challenges, necessitating innovative educational tools. …”
Get full text

FRACTIONAL-ORDER MODEL OF THE DRUG USER TRANSMISSION by Indah Nurun Izzati, Fatmawati Fatmawati, Cicik Alfiniyah

“…Drug abuse poses significant challenges to public health and socio-economic stability worldwide. …”
Get full text

A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies by Yuzhou Hou, Xuanhua Xu, Zongrun Wang, Weiwei Zhang

“…Abstract With the increasing frequency of emergencies, reliable public opinion fusion has become an important research topic in public opinion analysis and management. However, the public is unorganized and susceptible to manipulation, which poses a challenge. …”
Get full text

Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…Abstract Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. …”
Get full text

FADS1, a lipid metabolism-related diagnostic biomarker in KIRC by Tianmin Yang, Kai Sun, Fan Peng, Yuhu Hao, Qingjie Bai, Hanpu Yu, Qinghua Xia

“…Abstract Background Kidney renal clear cell carcinoma (KIRC), the predominant subtype of renal cell carcinoma, poses significant health risks. The rapid progression and resistance to targeted therapies highlight the need for new tumor markers and therapeutic targets. …”
Get full text

Identifying Porphyromonas gingivalis-infected hub genes and molecular mechanisms of oral squamous cell carcinoma pathogenesis by Nishant Kumar Singh, Prankur Awasthi, Agrika Gupta, Nidhi Anand, Balendu Shekher Giri, Md. Imtaiyaz Hassan, Saba Hasan

“…A total of 383 Common DEGs were obtained. GO analysis of the DEGs shows that "cell migration, extracellular space, protein binding, TNF signaling pathway and IL6" possess the highest enrichment in the "Biological Process, Cytological Component, Molecular Function, and KEEG," respectively. …”
Get full text

The risk of pathogenicity and antibiotic resistance in deep-sea cold seep microorganisms by Tianxueyu Zhang, Yingchun Han, Yongyi Peng, Zhaochao Deng, Wenqing Shi, Xuewei Xu, Yuehong Wu, Xiyang Dong

“…This study offers the first comprehensive analysis of virulome, resistome, and mobilome profiles in cold seep microbial communities. …”
Get full text

Long-term prognosis and risk factors in tricuspid valve replacement surgery: a single-center study by Yingjie Ke, Yingjie Ke, Linbin Hua, Shanwen Pang, Qiuji Wang, Lishan Zhong, Zhenzhong Wang, Kan Zhou, Rong Zeng, Huanlei Huang, Huanlei Huang, Huanlei Huang

“…Multifactorial logistic regression analysis identified body weight, New York heart function classification, extracorporeal circulation time, and ventilator time as independent risk factors for in-hospital mortality. …”
Get full text

New Rapid Decoupling Methods for Calculating Steady-State and Interval Power Flow of Integrated Electricity-Heat Energy Systems by Weiwei JING, Qiang WANG, Hao CHENG, Bo WANG, Fuchang YUE, Chen WANG, Wenxue WANG

“…The commonly used Newton-Raphson method poses challenges in numerical stability. Moreover, with the increasing uncertainty in integrated energy systems, it becomes increasingly vital to study the interval power flows for the safety analysis and evaluation of the integrated energy systems. …”
Get full text

Impacts of Plu kaow (<i>Houttuynia cordata</i> Thunb.) Ethanolic Extract on Diabetes and Dyslipidemia in STZ Induced Diabetic Rats: Phytochemical Profiling, Cheminformatics Analyse... by Shaikh Shahinur Rahman, Anuwatchakij Klamrak, Napapuch Nopkuesuk, Jaran Nabnueangsap, Piyapon Janpan, Kiattawee Choowongkomon, Jureerut Daduang, Sakda Daduang

“…PK also improved the tested liver, kidney, and heart function biomarkers and reversed damage to normal pancreatic, liver, kidney, and heart cells in histological analysis. …”
Get full text

Dietary intervention with Polygonatum sibiricum polysaccharides mitigates cadmium liver toxicity: a gut-liver axis perspective by Qiannan Di, Huimin Zhou, Huifang Chen, Xiaowei Wang, Xiao Huang

“…Cadmium (Cd) contamination in food chains poses a global health threat, necessitating safe and effective dietary interventions. …”
Get full text

Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

“…The prime focus of the proposed work is the optimizing heat transfer rate combined with regression analysis using artificial neural network and then it uses Levenberg Marquardt algorithm with well-posed training, testing, and validation data. …”
Get full text

Dynamic and efficient vehicular cloud management scheme with privacy protection by Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG

“…The vehicular cloud (VC) formed by vehicles is used for localization processing and consumption of traffic sensing data to achieve timely intelligent traffic management.The vehicle cloud is highly dynamic, self-organizing and timely, in which the identity and location privacy of vehicle users need to be protected as this poses challenges to the vehicular cloud management.A dynamic and self-organizing vehicle cloud management scheme based on the asymmetric group key agreement protocol was designed, where the vehicle cloud is automatically formed through the self-organized group key agreement of vehicles.The group key was used to control the provision and access of vehicle cloud services, and the dynamic management of the vehicle cloud was implemented through group key update.The scheme used traceable one-time pseudonym technology to achieve anonymous authentication and conditional privacy protection of vehicle users, and the group key agreement stage only included one bilinear pair operation to achieve high efficiency.In addition, the key negotiation and update process used lightweight signatures, supporting batch verification, to achieve efficient message source authentication and integrity authentication.Then the security and efficiency of vehicle cloud communications in the self-organizing environment can be ensured.The dynamic key update mechanism of the key agreement protocol realized the dynamic joining or exiting of vehicles in the vehicle cloud, adapting to the dynamic characteristics of the vehicle cloud.Under the random oracle model and the difficult assumption of the inverse computational Diffie Hellman (ICDH) problem, it was proved that the asymmetric group key agreement scheme satisfied the selective-plaintext security.The security analysis shows that the scheme can protect the identity and location privacy of vehicle users, realize the legal tracking of malicious vehicles, and ensure the confidentiality, integrity and anti-counterfeiting of communications, as well as the forward security of vehicle cloud dynamic management.The performance comparison analysis shows that this scheme has certain advantages in communication and computing efficiency under the condition of the same function and security level.…”
Get full text

An integrated bioinformatics and machine learning approach to identifying biomarkers connecting parkinson’s disease with purine metabolism-related genes by Yao Wang, Dongchuan Wu, Man Zheng, Tiantian Yang

“…Results The study identified nine PMGs related to PD: NME7, PKM, RRM2, POLR3 C, POLA1, PDE6 C, PDE9 A, PDE11 A, and AMPD1. Biological function analysis highlighted their involvement in processes like neutrophil activation and immune response. …”
Get full text

Adaptive Reuse of Urban Heritage in Contested Urban Contexts by Ana Jayone Yarza Pérez

“…One response to these challenges is adaptive reuse, which is the transformation of the function of an underused structure into a new use. …”
Get full text

Development and evaluation of a predictive model of upper gastrointestinal bleeding in liver cirrhosis by Jin Peng, Huiru Jin, Ningxin Zhang, Shiqiu Zheng, Chengxiao Yu, Jianzhong Yu, Longfeng Jiang

“…Abstract Background Upper gastrointestinal bleeding (UGIB) is a prevalent and severe complication of cirrhosis, often resulting from esophagogastric variceal bleeding (EVB). This condition poses significant life-threatening risks. Once bleeding occurs, the risk of recurrent episodes substantially increases, further compromising liver function and worsening patient outcomes. …”
Get full text

STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

“…The method of stylistic analysis was applied to interpret stylistic phenomena inherent in the novel in relation to their contribution to the studied idea as those were found functioning in the relevant textu- al microcontexts and enhancing the aforementioned semantic dominants. …”
Get full text

Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges by Sahar Shokrpour, AmirMehdi MoghadamFarid, Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Mostafa Sarvizadeh

“…Abstract Parkinson’s disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. …”
Get full text