Comprehensive analysis of pyroptosis-related genes in psoriasis and targeted gene editing of CASP1 and CASP5 using lipid nanoparticles to alleviate skin inflammation by Gexiao Xu, Guanyi Ma, Jiachen Sun, Xiaoyan Yu, Jie Sun, Bing Gao

“…Using bioinformatics tools and publicly available datasets, we constructed a risk score model based on machine learning algorithms, which identified several key hub genes including CASP1, CASP5, AIM2, GZMB, GZMA, IL1B, and NOD2. …”
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The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example by K. V. Mulyukova, V. M. Kureichik

“…The use of neural networks and the created universal classes-handlers makes the created architecture flexible and self-learning, and the class declarations and the base DDL structure will greatly simplify the development of program code.…”
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Unraveling anoikis in glioblastoma: insights from single-cell sequencing and prognostic modeling by Qikai Tang, Chenfeng Ma, Jiaheng Xie, Qixiang Zhang, Bingtao Zhang, Weiqi Bian, Qingyu Lu, Zeyu Wan, Wei Wu

“…We identified anoikis-related genes, constructed a prognostic model using 101 machine learning algorithms, and validated its clinical utility across multiple cohorts.Finally, we also verified the expression of model genes and the function of key gene in clinical samples and cell lines. …”
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Data Management in Healthcare Research as a Guarantee of its Quality by Igor Rekunenko, Anton Boiko, Olha Kramarenko, Bhola Khan

“…The terminological maps of term relationships were constructed using the VOSviewer visualization tool. …”
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A first-of-its-kind two-body statistical shape model of the arthropathic shoulder: enhancing biomechanics and surgical planning by Justin Blackman, Joshua W. Giles

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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Since communication in social networks almost entirely consists of text messages and various publications, almost all relevant studies use textual analysis methods in conjunction with machine learning and artificial intelligence technologies. …”
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PANoptosis-Relevant Subgroups Predicts Prognosis and Characterizes the Tumour Microenvironment in Ovarian Cancer by Chen Y, Deng Z, Chen J, Lin J, Zou J, Li S, Sun Y

“…PANoptosis, a novel form of programmed cell death, plays pivotal roles in cancer pathogenesis and therapy. …”
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Investigating dimensions of instructor trust using the words of undergraduate STEM students by Kathy Zhang, Julia C. Gill, Tong Zhang, Lia Crowley, Juliette Bennie, Henry Wagner, Melanie Bauer, David Hanauer, Xinnian Chen, Mark J. Graham

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Translational framework for implementation evaluation and research: implementation strategies derived from normalization process theory by Carl R. May, Alyson Hillis, Bianca Albers, Laura Desveaux, Anthony Gilbert, Melissa Girling, Roman Kislov, Anne MacFarlane, Frances S. Mair, Sebastian Potthoff, Tim Rapley, Tracy L. Finch

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Serum tryptophan-kynurenine metabolites served as biomarkers of disease activity in rheumatoid arthritis and linked to immune imbalance by Ruihe Wu, Baochen Li, Rui Su, Xiaoyang Liu, Anqi Gao, Jing Luo, Chong Gao, Xiaofeng Li, Caihong Wang

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Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children by Min-Lan Tsai, Kevin Li-Chun Hsieh, Yen-Lin Liu, Yi-Shan Yang, Hsi Chang, Tai-Tong Wong, Syu-Jyun Peng

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Development of an Online Scenario-Based Tool to Enable Research Participation and Public Engagement in Cystic Fibrosis Newborn Screening: Mixed Methods Study by Louise Moody, Samantha Clarke, Matt Compton, Rachael Hughson-Gill, Felicity Boardman, Corinna Clark, Pru Holder, James R Bonham, Jane Chudleigh

“…As technology advances, there is the potential to expand the newborn screening program following evaluation of the likely benefits and drawbacks. …”
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Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992–2022) based on nighttime light by Chaoqing Huang, Qian Wu, Yujie Chen, MinhThu Nguyen, Bin Chen, Song Hong, Chao He

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Community Health Worker Diabetes Prevention Awareness Training in an Immersive Virtual World Environment: Mixed Methods Pilot Study by Laurie Ruggiero, Lauretta Quinn, Amparo Castillo, Colleen Monahan, Leticia Boughton Price, Wandy Hernandez

“…One remote approach, immersive 3D virtual worlds (VW) offer a unique approach to providing remote training incorporating engaging interactive contextual learning opportunities. ObjectiveThis study aimed to implement and evaluate an internet-based 3D VW model to remotely deliver an adapted CHW training program on diabetes prevention awareness for racial-ethnic minority communities. …”
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Sustainable development of Cuban agricultural economy: Policy and practice by Lihua Hu, Chengjiu Wang, Ping He

“…At the same time, it is suggested that other developing countries should learn from Cuba's experience and combine their national conditions to explore a suitable mode of agricultural sustainable development.…”
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Prophylactic IL-23 blockade uncouples efficacy and toxicity in dual CTLA-4 and PD-1 immunotherapy by Ting Chen, Lin Zhao, Jiaojiao Zhang, Mingyi Ju, Zhuoyuan Deng, Minjie Wei, Lianghua Ma

“…To investigate the efficacy of prophylactic IL-23 blockade administration to prevent irAEs, refer to a previous study, we constructed two irAEs murine models, including dextran sulfate sodium salt (DSS)-induced colitis murine model and a combined-ICIs-induced irAEs murine model. …”
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A Novel 14-Gene Panel Associated With Efferocytosis for Predicting Pancreatic Cancer Prognosis Through Bulk and Single-Cell Databases by Yaheng Wu, Lin Zhao, Dingyan Yi, Zhihua Tian, Bin Dong, Chunxiang Ye, Jingtao Liu, Huachong Ma, Wei Zhao

“…Least absolute shrinkage and selection operator (LASSO) regression was subsequently employed to construct an ER risk scoring system using deep learning, based on the following formula: LGALS3, EMP1, ASPH, and FNDC3B, collectively termed the “LEAF” panel. …”
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Combining environmental DNA and remote sensing variables to model fish biodiversity in tropical river ecosystems by Robin Bauknecht, Loïc Pellissier, Sébastien Brosse, Vincent Prié, Manuel Lopes-Lima, Pedro Beja, Monika K. Goralczyk, Andrea Polanco Fernandez, Jorge A. Moreno-Tilano, Rafik Neme, Mailyn A. Gonzalez, Shuo Zong

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Nivel de satisfacción de la simulación clínica en estudiantes de fisioterapia de una institución de educación superior de la ciudad de Cali-Colombia (Satisfaction level of clinical... by Nathali Carvajal, Jorge Enrique Daza Arana, Diana Carolina Urrea Arango, Alejandro Segura Ordoñez, Camila Vásquez Moreno, Alvaro Santiago Solarte Rosero, Karen Pinto Narváez

“…Results: In high and low fidelity clinical simulation, the items with the highest satisfaction were "teacher training is adequate" with a mean of 4.42, "The role of the leader in the simulation is necessary for teamwork" with a mean of 4.17, and "Debriefing provides verbal feedback and constructive criticism" with a mean of 4.16. Conclusion: Students are satisfied with the clinical simulation strategy, being this a useful pedagogical tool in learning, skill development and acquisition of competencies. …”
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Biological contingency and adaptation to celibacy among girls aged 35 and over in Yazd city by Ahmad Kalateh Sadati, Fatemeh Jafari Naeimi, Sara Sadeghieh, Zahra Sadeghian Moghadam

“…. & Luckmann, T. (1994). The Social Construction of Reality: A Treatise in the Sociology of Knowledge. …”
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