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  1. 15421

    VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

    Published 2025-01-01
    “…Specifically, the Inter-Frame Aggregation Guidance (IFAG) module is developed to learn contextual inter-frame aggregation guidance, alleviating visual distortion caused by the randomness of diffusion models. Furthermore, the Progressive Reconstruction Sampling (PRS) approach is employed to generate reconstruction-oriented latents, balancing fidelity and detail richness. …”
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  2. 15422

    The up-regulation of SPTAN1 expression in Pancreatic adenocarcinoma is associated with tumor immune invasion and poor clinical prognosis by Wei Guo, LingYu Hu, ZhaoFeng Gao, XiaoRong Liu, XiaoDan Yang, XiaoGuang Wang

    Published 2025-01-01
    “…More and more studies have shown that SPTAN1 may be involved in the development and progression of a variety of tumors, including rectal cancer, Pancreatic adenocarcinoma, etc., and may affect their prognosis. …”
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  3. 15423

    Successful Management of Refractory Heart Failure and Multi-Organ Dysfunction in a Patient with CRT-D and Acute Pulmonary Edema: A Case Report by Marsela Goga, Saimir Kuci, Alfred Ibrahimi, Ermal Likaj, Alvi Cela, Romina Teliti, Ormir Shurdha, Erilda Selimi, Jacob Zeitani

    Published 2025-01-01
    “…Introduction: Heart failure with reduced ejection fraction (HFrEF) is a progressive condition often complicated by acute decompensations that require advanced medical interventions. …”
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  4. 15424
  5. 15425

    Evaluating different drought products for assessing drought and implications on agriculture in Nepal by Shishir Chaulagain, Manoj Lamichhane, Urusha Chaulagain, Sushant Gyawali, Sadina Shrestha, Vishnu Prasad Pandey

    Published 2025-03-01
    “…By utilizing Soil Water Deficit Index (SWDI) alongside Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Flow Index (SFI), this research highlights the complex progression from meteorological to agricultural and hydrological droughts. …”
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  6. 15426

    Anthocyanins as functional food components by R. S. Yudina, E. I. Gordeeva, O. Yu. Shoeva, M. A. Tikhonova, E. K. Khlestkina

    Published 2021-04-01
    “…Starting with the first studies on the physicochemical properties of anthocyanins carried out in the 17th century by British naturalist Robert Boyle, the science about these unique compounds has progressed substantially. To date, the structure and functions of anthocyanins in plant cells have been well studied, and the pathway of their biosynthesis is one of the most fully characterized pathways of secondary metabolite biosynthesis at both the biochemical and genetic levels. …”
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  7. 15427

    Associations between intake of different types of vegetables and metabolic dysfunction-associated fatty liver disease: a population-based study by Chong Liu, Yubo Liu, Jie Liu, Jia Liu, Ting Lu, Jingjia Yu, Guogang Zhang, Kai Xu

    Published 2025-01-01
    “…The consumption of healthy diets rich in an abundant assortment of vegetables has been scientifically validated to mitigate the progression of MAFLD. However, it remains uncertain whether all categories of vegetables confer benefits for MAFLD. …”
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  8. 15428

    G-cleave LC3B biosensor: monitoring autophagy and assessing resveratrol's synergistic impact on doxorubicin-induced apoptosis in breast cancer cells by Chiao-Chun Liao, Yuqing Long, Ming-Lin Tsai, Chun-Yu Lin, Kai-Wen Hsu, Chia-Hwa Lee

    Published 2024-12-01
    “…Abstract Autophagy, a crucial process in cancer, is closely intertwined with both tumor progression and drug resistance development. However, existing methods used to assess autophagy activity often pose invasiveness and time-related constraints, limiting their applicability in preclinical drug investigations. …”
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  9. 15429

    Targeting immune cellular populations and transcription factors: unraveling the therapeutic potential of JQF for NAFLD by Lijuan Zhou, Jingyi Zhao, Kaile Ma, Rui Hao, Chensi Yao, Xiaowen Gou, Chuanxi Tian, Li Wan, Min Li, Xiaolin Tong

    Published 2025-01-01
    “…BackgroundNon-alcoholic fatty liver disease (NAFLD) constitutes the most prevalent chronic liver disease worldwide. Progression to non-alcoholic steatohepatitis (NASH), the immune cell reservoir within the liver undergoes remodeling, exacerbating liver inflammation and potentially leading to liver fibrosis. …”
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  10. 15430

    MicroRNA-451 as an Early Predictor of Chronic Kidney Disease in Diabetic Nephropathy by Mostafa Abdelsalam, A. M. Wahab, Maysaa El Sayed Zaki, Mohamad Motawea

    Published 2020-01-01
    “…MicroRNAs are not only new and promising markers for early diagnosis but also, but they may also play a role in the prevention of disease progression. Methods. This study included ninety patients with type 2 DM in addition to 30 control subjects. …”
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  11. 15431

    Mixed Cutaneous Infection Caused by Leishmania and Dermatophytes: A Rare Coincidence or Immunological Fact by Amresh Kumar Singh, Ankur Kumar, Jayesh Pandey, Vivek Gaur, Pratima Tripathi, Indra Prasad Adhikari

    Published 2021-01-01
    “…We present a rare case of a 52-year-old house wife with a history of recurrent itching, depigmentation of the skin of extremities, and loss of appetite for 2-3 months followed by progressive spread of such lesion all over the body in an apparently healthy female. …”
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  12. 15432

    Investigating Metabolic Phenotypes for Sarcoidosis Diagnosis and Exploring Immunometabolic Profiles to Unravel Disease Mechanisms by Mohammad Mehdi Banoei, Abdulrazagh Hashemi Shahraki, Kayo Santos, Gregory Holt, Mehdi Mirsaeidi

    Published 2024-12-01
    “…This study aimed to leverage metabolomics for the early diagnosis of sarcoidosis and to identify metabolic phenotypes associated with disease progression. <b>Methods:</b> Serum samples from patients with sarcoidosis (<i>n</i> = 40, including stage 1 to stage 4), were analyzed for metabolite levels by semi-untargeted liquid chromatography–mass spectrometry (LC-MS). …”
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  13. 15433

    Endoplasmic reticulum stress-related super enhancer promotes epithelial-mesenchymal transformation in hepatocellular carcinoma through CREB5 mediated activation of TNC by Anqi Wang, Sitong Yan, Jiatao Liu, Xiang Chen, Mengyao Hu, Xiao Du, Weijia Jiang, Zhipeng Pan, Lulu Fan, Guoping Sun

    Published 2025-02-01
    “…This result provides a new direction for uncovering how ERS regulates EMT and a foundation for preventing the progression of EMT in HCC.…”
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  14. 15434

    The socioeconomic impact of kidney disease on African families: a scoping review by Ikponmwosa Jude Ogieuhi, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori, Victor Oluwatomiwa Ajekiigbe, Komolafe Babajide Ayodeji, Adetola Emmanuel Babalola, Ifeanyichukwu Muogbo, Alabi Badrudeen Olalekan, Aarushi Venkatraman, Oluwaseun Oyewo

    Published 2025-01-01
    “…Unfortunately, most people are unaware that they have this condition until it has progressed. Research aimed at systematically summarizing findings on the socioeconomic effects of kidney disease on families in Africa was reviewed. …”
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  15. 15435

    EGFR-TKIs or EGFR-TKIs combination treatments for untreated advanced EGFR-mutated NSCLC: a network meta-analysis by Ao Liu, Xiaoming Wang, Lian Wang, Han Zhuang, Liubo Xiong, Xiao Gan, Qian Wang, Guanyu Tao

    Published 2024-11-01
    “…Osimertinib plus chemotherapy and lazertinib plus amivantamab showed the highest efficacy in improving progression-free survival. New third-generation EGFR-TKIs demonstrated comparable efficacy to osimertinib alone but did not surpass it. …”
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  16. 15436

    A Novel Attention-Guided Enhanced U-Net With Hybrid Edge-Preserving Structural Loss for Low-Dose CT Image Denoising by Muhammad Zubair, Helmi Md Rais, Talal Alazemi

    Published 2025-01-01
    “…The proposed model undergoes iterative training, using a custom loss function to refine its parameters and improve CT image denoising progressively. Its performance is rigorously evaluated both qualitatively and quantitatively on the &#x2018;2016 Low-dose CT AAPM Grand Challenge dataset&#x2019;. …”
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  17. 15437

    Adolescent girls’ explanations of high rates of low mood and anxiety in their population: a co-produced qualitative study by Ola Demkowicz, Rebecca Jefferson, Pratyasha Nanda, Lucy Foulkes, Jo Lam, Steven Pryjmachuk, Rhiannon Evans, Bernadka Dubicka, Liz Neill, Laura Anne Winter, Georgina Nnamani

    Published 2025-02-01
    “…There is a paucity of mental health research that meaningfully progresses understanding of these gender disparities, including that engages adolescent girls’ own perspectives, limiting our ability to direct further research and enhance intervention approaches. …”
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  18. 15438

    Melatonin Ameliorates Organellar Calcium Homeostasis, Improving Endoplasmic Reticulum Stress-Mediated Apoptosis in the Vastus Lateralis Muscle of Both Sexes of Obese Diabetic Rats by Diego Salagre, Miguel Navarro-Alarcón, Luis Gerardo González, Mohamed A. Elrayess, Marina Villalón-Mir, Rocío Haro-López, Ahmad Agil

    Published 2024-12-01
    “…Endoplasmic reticulum (ER) stress is a crucial factor in the progression of obesity-related type 2 diabetes (diabesity), contributing to skeletal muscle (SKM) dysfunction, calcium imbalance, metabolic inflexibility, and muscle atrophy. …”
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  19. 15439

    Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer by Xiaohong Liu, Xing Wang, Jie Ren, Yuan Fang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Jialu Bai, Decheng Jiang, Yuemeng Tang, Bo Ren, Lei You, Yupei Zhao

    Published 2025-01-01
    “…Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. …”
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  20. 15440

    Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

    Published 2025-01-01
    “…Detecting malware is essential to safeguard devices and systems from risks such as data corruption, data theft, account compromises, and unauthorized access that could result in total system takeover. As malware has progressed from its simpler, monomorphic variants to more sophisticated forms like oligomorphic, polymorphic, and metamorphic, a machine learning-based detection system is now required, surpassing the limitations of traditional signature-based methods. …”
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