LMAN2 Promotes Breast Cancer Tumorigenesis and Drug Resistance by Interacting With MAPK9 via Activation of the MAPK Pathway by Chen Feng, Pingping Li, Pengtao Liu, Bo Wang, Juan Li, Peijun Liu

“…Despite its ubiquity, the function and underlying mechanisms of LMAN2 in BC continue to elude understanding. Methods Multiple databases were employed to examine the expression of LMAN2 in breast cancer. …”
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A prognostic model based on autophagy-and senescence-related genes for gastric cancer: implications for immunotherapy and personalized treatment by Shuming Chen, Xiaoxi Han, Yangyang Lu, Shasha Wang, Yuanyuan Fang, Chuanyu Leng, Xueying Sun, Xin Li, Wensheng Qiu, Weiwei Qi

“…In this study, a combined analysis of autophagy- and senescence-related genes was employed to comprehensively capture tumor heterogeneity.MethodsThe gene expression profiles and clinical data for GC samples were acquired from TCGA and GEO databases. …”
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Comparative Evaluation of the Preventive Effects of Citral, Silymarin, Thymoquinone, and Curcumin on 5-Fluorouracil-Induced Cardiac and Pulmonary Toxicity in Rats by Tohid Zahed, Nasrollah Ahmadi, Mohammad Foad Noorbakhsh, Nazifi Saeed, Oryan Ahmad

“…Blood samples and representative tissue specimens of the heart and lungs were immediately collected at the end of the experiment to measure the biochemical parameters, conduct histopathological studies, and analyze antioxidant activity, respectively.Results: The intraperitoneal administration of 5-fluorouracil caused cardiotoxicity, as evidenced by elevated serum levels of creatine phosphokinase, creatine kinase-MB (p < 0.05), and lactate dehydrogenase (p < 0.05). …”
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The impact of brain computed tomography metadata on the performance of diagnostic artificial intelligence services: a pilot study by A. N. Khoruzhaya, D. V. Kuligovskiy, Yu. A. Vasilev

“…The aim of the study is to evaluate the impact of metadata added to the training dataset on the performance of an artificial intelligence system aimed at working with diagnostic brain images. Material and Methods. An expanded set of computed tomography scans of the brain with and without signs of intracranial haemorrhage, supplemented with clinical and technical parameters, was used as a basis. …”
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The impact of environmental tax reform on industrial green development: evidence from China by Zhaoyang Lu, Diao Gou, Lanqin Yang, Ziyue Wu, Hailong Feng

“…This study addresses this gap by investigating how the reform affects green total factor productivity (GTFP) in key industrial sectors.MethodsWe build a Difference-in-Differences model to assess the causal impact of the 2018 environmental tax change, using it as a quasi-natural experiment. …”
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The reliability, sensitivity and specificity of fluorescent oxidation products for measuring global oxidative stress in vivo by Bing Liang, Juan Zhang, Xue Shen, Xiaohua Zhang, Ann M. Vuong, Linghua Yang, Xinyan Shi, Xueru Ge, Huan He, Tong Liu, Shuman Yang

“…Introduction To examine the reliability, sensitivity, and specificity of fluorescent oxidation products (FlOPs; markers of global oxidative damage) for measuring global oxidative stress. Methods To improve FlOP measurement reliability, we mixed plasma samples with the extractant at eight ratios and measured FlOPs with a fluorescent microplate reader (excitation/emission wavelengths 320/420 nm denoted FlOP_320; 360/420 nm [FlOP_360]; and 400/475 nm [FlOP_400]). …”
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Efficacy and safety of recombinant human granulocyte colony-stimulating factor in patients with poor ovarian response: protocol for a multicentre, randomised, controlled trial by Fang Wang, Xianghui Zeng, Lirong Du, Huilin Yang

“…The planned sample size is 312 participants (156 subjects in each group). …”
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MOMFNet: A Deep Learning Approach for InSAR Phase Filtering Based on Multi-Objective Multi-Kernel Feature Extraction by Xuedong Zhang, Cheng Peng, Ziqi Li, Yaqi Zhang, Yongxuan Liu, Yong Wang

“…To train the MOMFNet network, we developed an interferogram simulation strategy that uses randomly distorted 2D Gaussian surfaces to simulate terrain variations, Perlin noise to model atmospheric turbulence phases, and negative Gaussian noise to generate random training samples at different noise levels. Comparative experiments with traditional denoising methods and other deep learning approaches, through both qualitative and quantitative analyses, demonstrated that MOMFNet excels in noise suppression and phase recovery, particularly in scenarios involving large gradients and random noise. …”
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Does osteoarthritis physiotherapy research in South Korea align with the National Institute for Health and Care Excellence guidelines: a systematic review of English and Korean lit... by Mi La Park, Nico Magni, Daniel W. O’Brien

“…This study aimed to explore whether research-based physiotherapy interventions for OA in South Korea align with the NICE guidelines. Methods A comprehensive search was conducted across multiple Korean and English electronic databases, including the Korea Citation Index (KCI), Korean Studies Information Service System (KISS), MEDLINE, EMBASE, CINAHL, SPORTDiscus SCOPUS, and Google Scholar. …”
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Cuproptosis-related gene ACAD8 inhibits the metastatic ability of colorectal cancer by inducing cuproptosis by HuiE Zhuang, Yizhen Chen, Yizhen Chen, Sifu Huang

“…This study focuses on CRGs-ACAD8 to explore its role and mechanism in metastatic CRC (mCRC).MethodsClinical sample data from TCGA, GEO, and Fujian Provincial Hospital patients were integrated to analyze ACAD8 expression and its association with the diagnosis and prognosis of CRC. …”
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Tracked Physical Activity Levels Before and After a Change in Incentive Strategy Among UK Adults Using a Rewards App: Retrospective Quasi-Experimental Study by Hannah McCarthy, Henry W W Potts, Abigail Fisher

“…The purpose of this exploratory analysis was to inform the design of future controlled trials of incentives delivered via an app to optimize their usability and cost-effectiveness. MethodsWeekly minutes of tracked physical activity were explored among a sample of 1666 participants. …”
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Interest, enjoyment, and confidence in mathematics in the United States: exploring patterns across age, gender, race, and time by Tye G. Campbell, Katherine N. Vela, Tyler Powell

“…We address these gaps in the literature by using the National Assessment of Educational Progress (NAEP) data from 2017, 2019, 2022, and 2024 to explore relationships between 4 and 8th graders’ demographic characteristics and interest, enjoyment, and confidence in mathematics, as well as how these relationships have changed over time. Methods We used the NAEP Data Explorer to examine the relationship between four independent variables (time, race/ethnicity, gender, grade level) and students’ self-reported interest, enjoyment, and confidence in mathematics as measured through two NAEP indices. …”
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Selected determinants of anxiety and depression symptoms in adolescents aged 11–15 in relation to the pandemic COVID-19 and the war in Ukraine by Izabela Grzankowska, Malgorzata Wójtowicz-Szefler, Monika Deja

“…The study included 945 adolescents aged 11–15 years (M = 13.10; SD = 1.11), representing a sample of youth from 14 regions of Poland.ResultsThe results and analyses are presented from three perspectives: (A) the occurrence of anxiety and depression symptoms in relation to the gender and age of the respondents, (B) the significance of situational experiences, such as the COVID-19 pandemic (Q1), remote learning (Q2), and the outbreak of the war in Ukraine (Q3) for the occurrence of anxiety and depression symptoms in Polish youth, and (C) other determinants of anxiety and depression symptoms in Polish youth, such as intrapsychic variables including self-esteem, satisfaction with relationships with others, and views on the world and life.DiscussionIt can be concluded that in the case of young people, maintaining mental health under the influence of social stressors such as the pandemic and the ongoing war in Ukraine depends mainly on intrapsychic variables, including the beliefs and attitudes of young people towards themselves, toward other people, the world and life.…”
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Complementary, alternative, and integrative medicine researchers' practices and perceived barriers related to open science: An international, cross-sectional survey. by Jeremy Y Ng, Lucas J Santoro, Kelly D Cobey, Amie Steel, Holger Cramer, David Moher

“…We emailed 6040 researchers our purpose-built electronic survey after extracting their email address from one of their publications in our sample of journals. We questioned their familiarity with different OS concepts, along with their experiences and challenges engaging in these practices over the last 12 months.…”
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The Landscape of Childcare Resources Among Surgeons in the United States: A Qualitative Examination by Miriam Becker, MS, Abbey Ervin, BS, Caitlyn Belza, MD, Kelli Lopes, BA, Andrea Yessaillian, BS, Chelsea Rapoport, MS, Katharine Hinchcliff, MD, Amanda Gosman, MD

“…Coding discrepancies were resolved through consensus discussions, ensuring that participants' experiences were accurately represented. Results:. The sample (n = 51) included female and male trainees and attendings with and without children. …”
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Evaluating the PCL-5 in China: new insights from its assessments over time and gender invariance by Tao Yang, Wei Chen, Qiaodan Lu, Qiufen Meng, Haiyan Liu

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MicroRNAs hsa-miR-99b, hsa-miR-330, hsa-miR-126 and hsa-miR-30c: Potential Diagnostic Biomarkers in Natural Killer (NK) Cells of Patients with Chronic Fatigue Syndrome (CFS)/ Myalg... by Robert D Petty, Neil E McCarthy, Rifca Le Dieu, Jonathan R Kerr

“…The CFS/ME associated miRNA identified by these experiments were then transfected into primary NK cells and gene expression analyses conducted to identify their gene targets.…”
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From genes to therapy: a lipid Metabolism-Related genetic risk model predicts HCC outcomes and enhances immunotherapy by Lei Xu, Ting Xiao, Tengfei Chao, Huihua Xiong, Wei Yao

“…This study developed a genetic risk model using lipid metabolism-related genes to predict survival and immune patterns in HCC patients. Methods Differentially expressed genes (DEGs) related to lipid metabolism were identified in HCC via the TCGA-LIHC dataset. …”
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Understanding climate change anxiety and anticipatory climate disaster stress: A survey of residents in a high-risk California county during wildfire season by E Alison Holman, Tiffany Junchen Tao, Kayley D Estes, Farshid Vahedifard, Roxane Cohen Silver

“…Background With the increasing prevalence of climate-related disasters, psychological responses, including climate change anxiety and anticipatory climate disaster stress, have received heightened attention.Objective We investigate the correlates of climate change anxiety and anticipatory climate disaster stress, as well as the nature of these psychological responses.Methods At the start of the annual fire season (June to August 2023), we recruited a county-representative sample of n=813 residents of Lake County, in Northern California, to complete an anonymous online survey. …”
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A lightweight Deeplab V3+ network integrating deep transitive transfer learning and attention mechanism for burned area identification by Lizhi Liu, Ying Guo, Erxue Chen, Zengyuan Li, Yu Li, Yang Liu, Qiang Zhang, Bing Wang

“…Sequentially, WorldView-2 and the Sentinel-2 dataset were employed to train the proposed network based on the ImageNet pre-trained weights. Experiments were conducted to extract burned area from remote sensing images based on the trained model, and the results show that the proposed methodology can improve extraction accuracy with OA of 92.97% and Kappa of 0.819, which is higher than the comparative methods, and it can reduce the training time at the same time. …”
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