Expression and clinical significance of FANCI gene in pan-cancer: a comprehensive analysis based on multi-omics data by Yunzheng Zhao, Yunzheng Zhao, Qingyu Li, Qingyu Li, Jiajun Li, Jiajun Li, YiFeng Cui, YiFeng Cui, Zhaoyang Lu, Zhaoyang Lu

“…This investigation seeks to clarify the expression profiles, prognostic relevance, and diagnostic capabilities of FANCI across multiple malignancies, along with its links to immune cell infiltration, genetic alterations, protein-protein interactions, and functional roles.MethodsBy utilizing data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, we conducted a comprehensive analysis of FANCI mRNA expression using R software and visualized the results with the ggplot2 package. …”
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Association between dietary flavonoid intake and anxiety: data from NHANES 2017–2018 by Liuyin Jin, Linman Wu, Guidong Zhu, Lijuan Yang, Dan Zhao, Jue He, Yan Zhang

“…Subgroup analysis confirmed protective effects in males, married individuals, participants with General Educational Development (GED)-level education, and specific ethnic groups. …”
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Can Digitalisation and Technological Development Reduce Corruption? Evidence from a Structural Analysis in Ukraine by Alina Yefimenko, Veronika Malaniuk, Murad Bagirzadeh, Wojciech Duranowski, Antonina Djakona, Marina Celika

“…The analysis is based on data from the World Bank and the State Statistics Service of Ukraine. …”
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Prediction of petrophysical properties through comparative post-stack inversion techniques using advance Neural Networking by Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, Sher Afgan

“… The sophisticated seismic inversion methodology can develop the relationship between the interpreted seismic data and the elastic properties of the reservoir. …”
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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…Through an OCCAM inversion approach, the regularization factor is dynamically determined by evaluating the norms of the data objective function and model objective function in each iteration, thereby reducing the reliance of inversion results on the initial model. …”
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Research on the Data-Driven Identification of Control Parameters for Voltage Ride-Through in Energy Storage Systems by Liming Bo, Jiangtao Wang, Xu Zhang, Yimeng Su, Xueting Cheng, Zhixuan Zhang, Shenbing Ma, Jiyu Wang, Xiaoyu Fang

“…In addition, the developed simulation verification framework serves as a valuable tool for security analysis in power systems with high renewable energy penetration.…”
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Customizable metamaterial design for desired strain-dependent Poisson’s ratio using constrained generative inverse design network by Sukheon Kang, Hyunggwi Song, Hyun Seok Kang, Byeong-Soo Bae, Seunghwa Ryu

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The nonlinear effect of financial openness on carbon emission intensity––evidence from 144 countries by Zhe Zhang, Shengzhen Ding, Jing Li

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Dietary antioxidants and flavonoids are inversely associated with prostate cancer risk and mortality: evidence from NHANES and machine learning by Yanyang Jin, Dong-shan Lv, Li-po Zhou, Li Xiao, Guang-quan Tong, Abdallah Karim, Shuai Xue, Hongyang Tian, Cheng-cai Wang, Kun Feng, Ding-ming Song, You-liang Guan

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Iterative natural thresholding algorithm for seismic inversion aimed at potentially recovering geological interfaces characterized by weak reflection by Zidan Fan, Ronghuo Dai, Yue Feng

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Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning by Kai Yang, Fan Wu, Hongxu Guo, Dongbin Chen, Yirong Deng, Zaoquan Huang, Cunliang Han, Zhiliang Chen, Rongbo Xiao, Pengcheng Chen

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Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges by Shunlin Liang, Tao He, Jianxi Huang, Aolin Jia, Yuzhen Zhang, Yunfeng Cao, Xiaona Chen, Xidong Chen, Jie Cheng, Bo Jiang, Huaan Jin, Ainong Li, Siwei Li, Xuecao Li, Liangyun Liu, Xiaobang Liu, Han Ma, Yichuan Ma, Dan-Xia Song, Lin Sun, Yunjun Yao, Wenping Yuan, Guodong Zhang, Yufang Zhang, Liulin Song

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Pregnancy pesticide exposure and child development in low- and middle-income countries: A prospective analysis of a birth cohort in rural Bangladesh and meta-analysis. by Lilia Bliznashka, Aditi Roy, David C Christiani, Antonia M Calafat, Maria Ospina, Nancy Diao, Maitreyi Mazumdar, Lindsay M Jaacks

“…Therefore, we assessed associations between pregnancy pesticide exposure and child development in rural Bangladesh and summarised existing literature in a systematic review and meta-analysis.…”
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The development and validation of a one-off scale to measure procrastination and precrastination traits in young adults by Waqar Husain, Khaled Trabelsi, Achraf Ammar, Zahra Saif, Haitham Jahrami

“…Methods The development of the Procrastination and Precrastination Traits Scale (PPTS) involved generating potential items through literature review, expert feedback, pilot testing, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). …”
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Characterizing climate change sentiments in Alaska on social media by Junjun Yin, Matthew Brooks, Donghui Wang, Guangqing Chi

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Identification of potential drug targets for diabetic polyneuropathy through Mendelian randomization analysis by Xiaokun Chen, Guohua Jiang, Tianjing Zhao, Nian Sun, Shanshan Liu, Hao Guo, Canjun Zeng, Yijun Liu

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Root-Zone Salinity in Irrigated Arid Farmland: Revealing Driving Mechanisms of Dynamic Changes in China’s Manas River Basin over 20 Years by Guang Yang, Xuejin Qiao, Qiang Zuo, Jianchu Shi, Xun Wu, Alon Ben-Gal

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Identifying suppressive factors of Alzheimer’s disease through comprehensive analysis of real-world data: a single-center retrospective study by Mana Shiotani, Yuki Hyohdoh, Yutaka Hatakeyama, Hiroaki Kazui, Yoshiyasu Okuhara

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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…SASD framework, which systematically decomposes complex livestock price time series into trend, seasonal, and residual components, improving the forecasting accuracy by isolating seasonal patterns and irregular fluctuations. Additionally, we develop a Korean-language sentiment lexicon using an improved Term Frequency–Inverse Document Frequency (ITF-IDF) algorithm, enabling morpheme-level sentiment analysis for better sentiment extraction in Korean contexts. …”
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Global, regional, and national burden of fracture of pelvis, 1990–2021: analysis of data from the Global Burden of Disease Study 2021 by Jiyong Wei, Jiyong Wei, Dezhi He, Guipeng Lan, Minglian Xu, Jianfeng Guo, Yanni Lan, Shaohui Zong, Shaohui Zong

“…First, we conducted a descriptive analysis in 2021, stratifying data by subtypes. Secondly, we used the Linear regression models to analyze temporal trends. …”
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