Evaluating the role of AI-simulated patients compared with peer-to-peer learning models in the enhancement of medical education: is it beyond theoretical functionality? by Pegin Poulose

“…Compared with peer-to-peer learning, SIMPAT was perceived as more time-efficient, because, traditionally, one peer within a pair had to be the ‘patient actor’. …”
Get full text

Selective expansion of high functional avidity memory CD8 T cell clonotypes during hepatitis C virus reinfection and clearance. by Mohamed S Abdel-Hakeem, Maude Boisvert, Julie Bruneau, Hugo Soudeyns, Naglaa H Shoukry

“…Individual CD8 T cell lines generated from the SR/SR group exhibited higher functional avidity and polyfunctionality as compared to cell lines from the SR/CI group. …”
Get full text

Co-exposure of ferruginous components of subway particles with lipopolysaccharide impairs vascular function: A comparative study with ambient particulate matter by Oluwatoyin Hannah Owokoniran, Akiko Honda, Takamichi Ichinose, Raga Ishikawa, Megumi Nagao, Natsuko Miyasaka, Zaoshi Wang, Satsuki Takai, Issei Omori, Kerui Zhang, Wei Liu, Yuya Higaki, Takayuki Kameda, Tomonari Matsuda, Taku Fujiwara, Tomoaki Okuda, Hirohisa Takano

“…Thus, iron oxide-rich subway particulate poses more health risks than outdoor ambient particles since they can significantly impair endothelial function, particularly through gross cellular and vascular homeostatic protein damage, and induce exacerbated inflammatory responses during co-exposure. …”
Get full text

Enhanced Adsorption of Mercury(II) Ions from Aqueous Solution by Carbon-Based Adsorbents Containing Cl-, S- and N-functional Groups by Jianzhong Zhu, Baolin Deng, John Yang

“…Batch experiments to study the kinetics and equilibrium of Hg 2+ ion adsorption were performed to evaluate the efficacy of the functionalized carbon adsorbents. Sample characterizations indicated that chlorine, sulphur or nitrogen functional groups were effectively immobilized onto the activated carbon surface, thereby generating more negative surface charges favouring cation adsorption. …”
Get full text

Epigenetic regulation of organ-specific functions in Mikania micrantha and Mikania cordata: insights from DNA methylation and siRNA integration by Yatong Sang, Yitong Ma, Ruonan Wang, Zhen Wang, Ting Wang, Yingjuan Su

“…However, the role of DNA methylation in regulating the organ-specific functions of the invasive weed Mikania micrantha remains unknown. …”
Get full text

Functional Studies on the <i>LiAG1</i> Gene of <i>Lilium</i> ‘Ice Pink Queen’ in Flower Development by Lili Xue, Jingqi Dai, Ruyu Fu, Nana Wu, Jiaxuan Yu, Jie Dong, Tao Yang, Jinping Fan

Get full text

Neuroligin-3 R451C induces gain-of-function gene expression in astroglia in an astroglia-enriched brain organoid model by Rui Dang, Mridul Dalmia, Ziyuan Ma, Mengmeng Jin, Kushal Aluru, Vincent R. Mirabella, Ava V. Papetti, Li Cai, Peng Jiang

“…Notably, the NLGN3 R451C astroglia demonstrate enhanced branching, indicating a more intricate morphology. Interestingly, our RNA sequencing data suggest that these mutant astroglia significantly upregulate pathways that support neural functions when compared to isogenic wild-type astroglia. …”
Get full text

Triple negative breast cancer initiating cell subsets differ in functional and molecular characteristics and in γ‐secretase inhibitor drug responses by Diana J. Azzam, Dekuang Zhao, Jun Sun, Andy J. Minn, Prathibha Ranganathan, Katherine Drews‐Elger, Xiaoqing Han, Manuel Picon‐Ruiz, Candace A. Gilbert, Seth A. Wander, Anthony J. Capobianco, Dorraya El‐Ashry, Joyce M. Slingerland

Get full text

Biosynthesis of a dual growth factors (GFs) functionalized silk sericin hydrogel to promote chronic wound healing in diabetic mice by Hanxin Deng, Fangyu Wang, Yujuan Zhou, Hexu Lei, Hongji Zhou, Siyu Chen, Zihan Meng, Mengyao He, Ding Tu, He Wang, Xian Li, Qingyou Xia, Xueming Li, Feng Wang

“…In present study, two silk gland bioreactor silkworm stains were generated to successfully synthesize functional silk fibers incorporating high expressions of EGF and PDGF-BB. …”
Get full text

Nutritional risk, functional decline, and symptom burden in lung cancer: a study based on PG-SGA scores and biochemical data by Shasha Shen, Shasha Shen, Shiyun Xing, Shiyun Xing, Tingting Shen, Li Niu, Xiaojing Tian, Xiaojing Tian, Hu Ma, Hu Ma, Xiaoxia Gou, Xiaoxia Gou

“…Patients with higher PG-SGA scores had significantly lower scores in physical functioning, role functioning, emotional functioning, and social functioning, alongside more severe symptoms such as fatigue, nausea, and pain. …”
Get full text

An Innovative Green Dust Suppressant for Dry Climate Mining Areas in a Copper–Nickel Mine: Integration of Moisture Retention and Erosion Resistance by Zijun Li, Zhe Zhou, Yu Xu, Yin Chen

“…Mine ramps, serving as a critical transportation hub in underground mining activities, are beset by severe issues of dust pollution and secondary dust generation. While dust suppressants are more efficient than the commonly used sprinkling methods in mines, traditional single-function dust suppressants are inadequate for the complex application environment of mine ramps. …”
Get full text

Effects of straw amendment on the bioavailability of selenite in soil and its mechanisms by Mingxing Qi, Dan Wang, Hui Zhai, Fei Zhou, Hao Wu, Wanchen Zhao, Rongxin Ren, Jingyi Shi, Dongli Liang

“…Selenite predominantly incorporated with phenolic and etheric C–O functional groups of DOM in soil, which mainly existed in aromatic DOM such as humic acid (HA). …”
Get full text

Super Virus Machines: Faster Virus Transmission, More Efficiency Using Superchannels by Antonio Ramírez-de-Arellano-Marrero, Luis Valencia-Cabrera, David Orellana-Martín, Mario J. Pérez-Jiménez

Get full text

Which Distance-Decay Function Can Improve the Goodness of Fit of the Metro Station Ridership Regression Model? A Case Study of Beijing by Zhenbao Wang, Shihao Li, Yushuo Zhang

“…Incorporating the distance-decay effects of facility points into the analysis of metro ridership helps generate more precise and actionable strategies for station area renewal. …”
Get full text

Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

Get full text

Multitasking muscle: engineering iPSC-derived myogenic progenitors to do more by Mark Stephen Hamer, Fabio M. V. Rossi

Get full text

The ‘process of doing’ in everyday occupations – a challenge for young adults with cerebral palsy by L. Bergqvist, A. M. Öhrvall, M. Peny-Dahlstrand

Get full text

Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines by Wenwen Zhang, Qiaoqiao Tang, Xuenong Gao, Rujin Zhou

Get full text

Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…For loss function optimization, a density-based loss function is introduced to address the issue of overfitting in dense regions due to the uneven distribution of point cloud data. …”
Get full text

An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix by Jianyuan NIE, Jianrong BAO, Bin JIANG, Chao LIU, Fang ZHU, Jianhai HE

“…In recent years,with the blind detection algorithms were proposed,more and more blind algorithms based on sampling covariance matrix were applied to spectrum sensing.The detection threshold was an approximation,and the detection performance would be affected for this algorithms.Thus,the mixed kernel function support vector machine (SVM) efficient spectrum sensing based on sampling covariance matrix was proposed.The statistics which were maximum minimum eigenvalue (MME) and covariance absolute value (CAV) of sensing signal sampling covariance matrices were used as the feature vectors of SVM and were trained to generate a spectrum sensing classifier.The advantage of this algorithm was that it needn’t calculate the detection threshold and the extraction of features reduces size of the sample set.The genetic algorithm (GA) was used to optimize the parameters of mixed kernel function SVM algorithm.The experimental results show that the proposed method has higher detection probability than MME and CAV algorithms,and has less sensing time than SVM,which has good practicability.…”
Get full text