Integrating Transcriptomic and Proteomic Data: IL‐27B as a Key Protein in the Development of Septic Cardiomyopathy—A Retrospective Study by Yifeng Mao, Qingqing Chen, Yongpo Jiang, Xijiang Zhang, Qin Si, Panpan Xu, Zhongheng Zhang, Cheng Zheng, Ronghai Lin

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Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder by Shufen Jiao, Li Bao, Xiaowen Lu, Yong Wu, Yichen Li

“…Results Our integrative analysis identified LSM6 and RPS26 as significantly associated with ADHD, based on eQTL data from fetal brain and iPSC-derived neurons. …”
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Can establishing the National Big Data Comprehensive Experimental Zone promote green low-carbon development? Evidence from China by Yushan Yao, Zhe Wang, Shanshan Cao

“…Balanced panel data of 30 provinces and cities from 2005 to 2021 are used to construct a dual machine learning model for empirical analysis. …”
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Can new quality productivity promote high-quality agricultural development?—An empirical study based on provincial panel data in China by Simeng Zhang, Fengjie Xie

“…The deep integration of new quality productivity (NQP) with the agricultural sector is an inevitable path to promoting high-quality agricultural development. This paper explores the role of NQP in enhancing the high-quality agricultural development using panel data from 30 provinces in China over the period 2012–2021. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

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Patent Keyword Analysis Using Bayesian Factor Analysis and Social Network Visualization in Digital Therapy Technology by Sunghae Jun

“…Experimental results demonstrate the approach’s effectiveness and its applicability to practical technology analysis tasks. Our results indicate that data analysis serves as a core technology in the field of digital therapy, while technologies such as remote patient monitoring, device systems, and signal processing function as supporting technologies for data analysis. …”
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Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data by Longlian Deng, Lemuge Che, Haibin Sun, Riletu En, Bowen Ha, Tao Liu, Tengqi Wang, Qiang Xu

“…Abstract Background Predicting lymph node metastasis (LNM) in colon cancer (CC) is crucial to treatment decision-making and prognosis. This study aimed to develop and validate a nomogram that estimates the risk of LNM in patients with CC using multiple clinical data from patients before surgery. …”
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Bridging the gap: enhancing data science and leadership knowledge and skills in the context of the public health workforce by Diana Hamer, Madelyn Gustafson, Christine Ortiz Gumina, Danielle C. Landis, Patricia Bockelman, Elaina Perry, Sarah D. Matthews

“…IntroductionThis study addresses critical gaps in public health workforce development, focusing on data science and leadership skills amidst increasing data accessibility and complexity in public health practice.MethodsQuantitative and qualitative research methods were employed, including listening sessions with diverse public health professionals. …”
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OmicShare tools: A zero‐code interactive online platform for biological data analysis and visualization by Hongyan Mu, Jianzhou Chen, Wenjie Huang, Gui Huang, Meiying Deng, Shimiao Hong, Peng Ai, Chuan Gao, Huangkai Zhou

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Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process by Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang, Xu Wang

“…A novel data-driven model-free adaptive control (DDMFAC) approach is first proposed by combining the advantages of model-free adaptive control (MFAC) and data-driven optimal iterative learning control (DDOILC), and then its stability and convergence analysis is given to prove algorithm stability and asymptotical convergence of tracking error. …”
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Developing organization structure of retail enterprises (on the example of the Czech Republic) by Aleksandr L. Bobkov, Igor V. Denisov, Oksana V. Kuchmaeva

“…The authors’ hypothesis is that these two types of structures – consequent and parallel – replace each other dialectically, and change qualitatively in the process of enterprises growth, but, at the same time, they maintain their constitutive properties at each level of organizations development.The retail sector was chosen as the object of analysis, since the generalized organizational structure in it is characterized by separate sales outlets, which makes it possible to conduct statistical processing of data. …”
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Based on single-cell and transcriptome data, ferroptosis and the immunological landscape in osteosarcoma were discovered by Yingcun Jiang, Chao Song, Jiyuan Yan, Liang Luo, Silong Gao, Feng Jiang, Zhangchao Wei, Jinwen Chen, Zongchao Liu, Jianhua Ge

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A New Comprehensive Well Logging Data Method for Evaluating Fracture Reservoir Productivity and Its Application by SHEN Qinyu, LI Shengqing, CUI Yunjiang, SU Yuanda, WANG Peichun, TANG Xiaoming

“…By using a multivariate statistical method, the factor analysis, this paper integrates the results of various logging methods, including acoustic, resistivity, borehole wall imaging, and other logging data to obtain controlling factors for the reservoir fluid transport property. …”
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Development of a Weighted Average Ensemble Model for Predicting Officially Assessed Land Prices Using Grid Map Data and SHAP by Surin Im, Kangmin Kim, Geunhee Lee, Hoi-Jeong Lim

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The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis by Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi

“…The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. …”
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Innovative Bibliometric Methodology: A New Big Data-Based Framework for Scientific Research by Eduardo Marlés-Sáenz, Eduardo Gómez-Luna, Josep M. Guerrero, Juan C. Vasquez

“…This challenge is exacerbated by the vast amount of information that must be analyzed, highlighting the imminent need for the application of big data techniques to extract relevant information for researchers, stakeholders in innovation and development, and regulatory policymakers. …”
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Determining the strategic position of the development of children's Physical activity in Iran by SIMIN HALABIAN, Seyed Reza Hosseininia, Ebrahim Alidoust Ghahfarokhi

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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study by Ali Amirahmadi, Farzaneh Etminani, Jonas Björk, Olle Melander, Mattias Ohlsson

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Multi‐modal meta‐analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor by Alok Jaiswal, Prson Gautam, Elina A Pietilä, Sanna Timonen, Nora Nordström, Yevhen Akimov, Nina Sipari, Ziaurrehman Tanoli, Thomas Fleischer, Kaisa Lehti, Krister Wennerberg, Tero Aittokallio

“…Here, we carried out a systematic analysis of nine types of data modalities using meta‐analysis of 53 omics studies across 12 research laboratories for 2,018 cell lines. …”
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A systematic review and comparative evaluation to develop and validate a comprehensive framework for cancer surveillance systems by Mohsen Soleimani, Marjan GhaziSaeedi, Seyed Mohammad Ayyoubzadeh, Ahmad Jalilvand

“…Conclusion The validated framework provides a structured and adaptable approach to cancer data collection and analysis, enhancing public health decision-making and resource allocation. …”
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