Efeito da burocracia no custo de transação econômica na Pró-Reitoria de Administração da Universidade Federal Rural do Semi-Árido by Fabianny de Sales Guerra, Luciana Batista Sales, Carlos Alano Soares de Almeida, Adriana Martins de Oliveira, Antônio Erivando Xavier Júnior

“…Os dados foram tratados, atendendo aos preceitos da análise de conteúdo; para isso, primeiramente, transcreveu-se a entrevista, que posteriormente foi importada para o Software Atlas ti 8.0. Logo após, fez-se o trabalho de codificação que, com a finalização, empregou-se a categorização dos dados, com o propósito de criar famílias de acordo com as dimensões estudadas. …”
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Training and onboarding initiatives in high energy physics experiments by Allison Reinsvold Hall, Nicole Skidmore, Gabriele Benelli, Ben Carlson, Ben Carlson, Claire David, Jonathan Davies, Wouter Deconinck, David DeMuth, Peter Elmer, Rocky Bala Garg, Stephan Hageböck, Killian Lieret, Valeriia Lukashenko, Valeriia Lukashenko, Sudhir Malik, Andy Morris, Heidi Schellman, Graeme A. Stewart, Jason Veatch, Michel Hernandez Villanueva

“…In this article we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fast and efficient onboarding of new collaboration members is increasingly important for HEP experiments. …”
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Exploring salivary gene expression clusters: A bioinformatics approach for advanced diagnosis and prognosis in head and neck squamous cell carcinoma by Rajesh Parsanathan, Rishaba Byju, D.S. Prabakaran

“…Materials and methods: A comprehensive keyword search was conducted to extract 74 salivary gland secretion genes from the Human Protein Atlas. GeneMANIA and STRING databases were employed to analyse protein-protein interactions and predict functional partners. …”
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Intersection of rare pathogenic variants from TCGA in the All of Us Research Program v6 by Blaine A. Bates, Kylee E. Bates, Spencer A. Boris, Colin Wessman, David Stone, Justin Bryan, Mary F. Davis, Matthew H. Bailey

“…Summary: Using rare cancer predisposition alleles derived from The Cancer Genome Atlas (TCGA) and high cancer prevalence (14% of participants) in All of Us (version 6), we assessed the impact of these rare alleles on cancer occurrence in six broad groups of genetic similarity provided by All of Us: African/African American (AFR), Admixed American/Latino (AMR), East Asian (EAS), European (EUR), Middle Eastern (MID), or South Asian (SAS). …”
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Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer by Shuo-Fu Chen, Liang-Yun Wang, Yi-Sian Lin, Cho-Yi Chen

“…Methods The workflow was demonstrated based on the Reverse Phase Protein Array (RPPA) and RNA-sequencing profiles of ovarian cancer patients from The Cancer Genome Atlas (TCGA). The algorithm began by clustering patients using immune-related gene sets, which allowed us to identify immune-related proteins of interest. …”
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Dwarf Galaxies with Radio-excess Active Galactic Nuclei in the Very Large Array Sky Survey by John-Michael Eberhard, Amy E. Reines, Hansung B. Gim, Jeremy Darling, Jenny E. Greene

“…We find a 2 σ threshold of q < 1.94 to select radio-excess AGNs, which is derived from a sample of ∼7000 galaxies across the full mass range in the NASA-Sloan Atlas that have radio and IR detections from VLASS and the Wide-Field Infrared Survey Explorer, respectively. …”
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Immune gene features and prognosis in colorectal cancer: insights from ssGSEA typing by Anwen Huang, Jinxiu Wu, Jiakuan Wang, Chengwen Jiao, Yunfei Yang, Huaiwen Xiao, Li Yao

“…Methods We obtained and merged RNA-Seq data along with clinical details for colorectal cancer (CRC) from The Cancer Genome Atlas (TCGA) repository, and then performed immunocluster typing on all CRC specimens. …”
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Facilitators and barriers affecting the implementation of e-health for chronic respiratory diseases in remote settings: a qualitative evidence synthesis by Emil Matias Salmi, Francesca Wanda Basile, Faiz Ahmad Khan, Larry Watt, Rinn Song, Else Margreet Bijker

“…Findings were coded with Atlas.ti software and categorised based on an adapted Digital Health Equity Framework. …”
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Single-cell RNA-seq analysis reveals microenvironmental infiltration of myeloid cells and pancreatic prognostic markers in PDAC by Yanying Fan, Lili Wu, Xinyu Qiu, Han Shi, Longhang Wu, Juan Lin, Jie Lin, Tianhong Teng

“…Methods Single-cell RNA sequencing (scRNA-seq) data were downloaded from t the Tumor Immune Single-cell Hub and gene expression data were retrieved from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. …”
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Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience by Mingrong Zuo, Xiang Xing, Linmao Zheng, Hao Wang, Yunbo Yuan, Siliang Chen, Tianping Yu, ShuXin Zhang, Yuan Yang, Qing Mao, Yongbin Yu, Ni Chen, Yanhui Liu

“…We analyzed 472 whole slide images (WSIs) from 226 patients in West China Hospital (WCH) and 1604 WSIs from 880 patients in The Cancer Genome Atlas (TCGA). We utilized the OpenSlide library to load WSIs, segmented them into small patches using the DeepZoom module, and then normalized the color using the Reinhard method. …”
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Sharp Bounds of the Hyper-Zagreb Index on Acyclic, Unicylic, and Bicyclic Graphs by Wei Gao, Muhammad Kamran Jamil, Aisha Javed, Mohammad Reza Farahani, Shaohui Wang, Jia-Bao Liu

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Thermodynamics from the S-matrix reloaded, with applications to QCD and the confining Flux Tube by Pietro Baratella, Joan Elias Miró, Emanuele Gendy

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Sleep health and its correlates among male and female military recruits in Jordan: a cross-sectional study by Ahmad M. Malkawi, Stef P. J. Kremers, Ree M. Meertens

“…Physical activity and dietary behaviors were measured using the Arab Teens Lifestyle Study (ATLS). Results The majority of recruits demonstrated poor sleep quality (80%) and suboptimal sleep hygiene practices (mean SHI = 21) with significantly poorer sleep hygiene practices among male recruits. …”
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A novel approach to the convergence analysis of chaotic dynamics in fractional order Chua’s attractor model employing fixed points by Mudasir Younis, Haroon Ahmad, Mahpeyker Ozturk, Deepak Singh

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O acesso aos instrumentos públicos como influenciador do consumo cultural pela população de baixa renda by Alexandre Rabelo, Danielle Miranda de Oliveira Arruda Gomes, Áurio Lúcio Leocádio

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Flows with Slip of Oldroyd-B Fluids over a Moving Plate by Abdul Shakeel, Sohail Ahmad, Hamid Khan, Nehad Ali Shah, Sami Ul Haq

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UBE2J1 is identified as a novel plasma cell-related gene involved in the prognosis of high-grade serous ovarian cancer by Yunjie Tian, Ruoyu Dong, Yingxia Guan, Ying Wang, Wei Zhao, Jun Zhang, Shan Kang

“…Abstract Background Immune cells within tumor tissues play important roles in remodeling the tumor microenvironment, thus affecting tumor progression and the therapeutic response. …”
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Screening and validation of tsRNAs associated with lung adenocarcinoma by LU Chunli, SHAN Yifan, XIE Weijia

“…The effects of tsRNAs expression levels on the prognosis of lung adenocarcinoma patients were analyzed based on the Cancer Genome Atlas （TCGA） database （TCGA-LUAD）. The target genes were predicted based on TRFtarget2.0 and tRFTar databases. …”
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Analysing DNA methylation and transcriptomic signatures to predict prostate cancer recurrence risk by Fahad M. Aldakheel, Hadeel Alnajran, Shatha A. Alduraywish, Ayesha Mateen, Mohammed S. Alqahtani, Rabbani Syed

“…This study employs a machine learning approach to identify DNA methylation and RNA expression biomarkers predictive of PCa recurrence using datasets from The Cancer Genome Atlas (TCGA). We analyzed 49,133 genes, identifying 684 differentially methylated genes (DMGs) and 691 differentially expressed genes (DEGs) between recurrence and non-recurrence groups. …”
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Exploration of the Immune-Related Signatures and Immune Infiltration Analysis in Melanoma by Ai-lan Li, Yong-mei Zhu, Lai-qiang Gao, Shu-yue Wei, Ming-tao Wang, Qiang Ma, You-you Zheng, Jian-hua Li, Qing-feng Wang

“…The transcriptome profiling and clinical data of melanoma were downloaded from The Cancer Genome Atlas database, and their matched normal samples were obtained from the Genotype-Tissue Expression database. …”
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