Publications by authors named "Yihan Wang"

Background: Familial hypercholesterolemia (FH) is a genetically inherited disorder caused by monogenic mutations or polygenic deleterious variants. Patients with FH innate with significantly elevated risks for coronary heart disease (CHD). FH prevalence based on genetic testing in Chinese CHD patients is missing.

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Chlorpyrifos (CLP) and deltamethrin (DTM) are among the most widely utilized organophosphate and pyrethroid insecticides globally. Their simultaneous presence in aquatic environments poses significant threats to fish health and challenges the sustainability of aquaculture practices. Despite their prevalence, the combined toxic effects of CLP and DTM on hook snout carp (Opsariichthys bidens Günther) remain insufficiently understood.

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Amino acid/auxin permeases (AAAPs) play crucial roles in plant development and response to environmental stimuli. They have been characterized at genome-wide levels in several plant species. However, little is known about the AAAP genes in Gossypium.

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Introduction: RNA splicing is a crucial posttranscriptional process that governs gene expression, and defects in alternative splicing contribute to various diseases, including cancer. Tumor suppressing subtransferable candidate 4 (TSSC4) is a known tumor suppressor and has been identified as part of the U5 small nuclear ribonucleoprotein (snRNP), which is involved in tri-snRNP biogenesis. However, the precise role of TSSC4 in regulating alternative splicing and its impact on tumor growth remain unclear.

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Although traditionally regarded as an impediment, the protein corona can facilitate the advancement of targeted drug delivery systems. This study presents an innovative approach for targeting acute myeloid leukemia (AML) using nanoparticles with agglutinated protein (NAPs). Agglutinated transferrin and C3b in NAPs selectively bind to CD71 and CD11b, receptors that are overexpressed on myeloid leukemic cells compared to nonmalignant cells.

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Background: the phase angle (PA) is expressed via bioelectrical impedance and an indicator of cell membrane health, integrity, hydration, and nutritional status. The associations between PA and cancer survival are inconsistent and unclear. This study aimed to assess PA's role as a prognostic marker of cancer survival.

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Consumer behavior is one of the key factors influencing product sales, especially in food packaging design, where green, organic, sustainable, and human-centered designs are more effective in promoting food sales. This paper aims to develop a sustainability evaluation method for children's food packaging. The study first explores the theoretical foundations of sustainability, establishing a systematic set of quantitative indicators and evaluation criteria.

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Objective: The objective is to generate reliable Ki parametric images from 18F-FDG total-body PET with clinically acceptable scan durations using Patlak and shallow machine learning algorithms, under conditions of limited computational and data resources.

Approach: We proposed a robust and fast algorithm named Patlak-KXD to generate Ki images from dynamic PET images with shortened scan durations. In the training phase, K-means is employed to generate a Ki-balanced training dataset.

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Protein isoforms (PIs) play pivotal roles in regulating plant growth and development that confer adaptability to diverse environmental conditions. PIs are widely present in plants and generated through alternative splicing (AS), alternative polyadenylation (APA), alternative initiation (AI), and ribosomal frameshifting (RF) events. The widespread presence of PIs not only significantly increases the complexity of genomic information but also greatly enriches regulatory networks and enhances their flexibility.

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Article Synopsis
  • Stability analysis helps understand how well deep learning models generalize by setting bounds for training algorithms that use stochastic gradient descent.
  • This paper addresses a gap in previous research by introducing generalization bounds for adversarial training that consider data distribution, which was overlooked before.
  • The study reveals that data distribution changes, especially from attacks like data poisoning, can significantly affect a model's robust generalization ability.
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  • The study addresses the urgent need for new antimicrobial agents to combat antibiotic resistance from Gram-negative pathogens.
  • Researchers utilized deep learning techniques to modify antimicrobial peptides (AMPs) from a prawn species, enhancing their effectiveness against various bacteria.
  • The findings demonstrate the successful application of small dataset learning and evolutionary principles in designing AMPs, showcasing their potential as alternatives to traditional antibiotics.
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  • This study aims to create reliable K parametric images from a shorter [F]FDG total-body PET scan using a self-supervised neural network algorithm, avoiding the need for extensive full-dynamic PET training.
  • The researchers developed a self-supervised algorithm (SN-Patlak) that combines a neural network with the Patlak method, using a modified fitting approach to handle limitations in data from short scans.
  • Results show that K images generated from a 10-minute PET scan using SN-Patlak are comparable to those from a standard method over a 40-minute scan, indicating the algorithm's strong reliability and effectiveness for clinical use.
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  • Peroxynitrite (ONOO) is important for cellular functions and its increased levels are linked to oxidative stress in cancer progression.
  • Researchers developed a new biomimetic nanoplatform called Z-C-T@CM that uses a combination of specialized materials to enable near-infrared fluorescent imaging for cancer treatment.
  • This nanoplatform not only allows for noninvasive detection of ONOO levels in tumors but also enhances treatment effectiveness by stimulating immune responses and releasing therapeutic agents within the tumor environment.
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  • The study analyzed vision health among adolescents in the Western Pacific Region from 1990 to 2019 using Global Burden of Disease data.
  • Results indicated an overall increase in rates of blindness and vision loss during the study period, particularly notable in China, but a decline was observed starting in 2017.
  • The findings highlight a need for greater focus on adolescent eye health in the region, especially given the discrepancies in health trends between different countries.
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Purpose: Life's Essentials 8 (LE8) is a new indicator developed by the American Heart Association to assess cardiovascular health, including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose and blood pressure. And more and more studies have shown that this index can evaluate other diseases, such as chronic kidney disease, abdominal aortic calcification and so on. However, there is no relevant study to evaluate the association between LE8 and psoriasis.

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Large scale cancer genomic studies in patients have unveiled millions of non-coding variants. While a handful have been shown to drive cancer development, the vast majority have unknown function. This review describes the challenges of functionally annotating non-coding cancer variants and understanding how they contribute to cancer.

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Background: We reported a case of cervical invasive vagus nerve stimulation (iVNS) treatment for avoidant/restrictive food intake disorder (ARFID) in a patient with severe anxiety and depression. This patient was even given a critical illness notice during his hospitalization and all treatment efforts were failed.

Objective: We aimed to verfiy the effectiveness of iVNS in a patient with ARFID.

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Ischemic stroke (IS) is a complex syndrome of neurological deficits due to stenosis or occlusion of the carotid and vertebral arteries for which there is still no effective treatment. Melatonin, a hormone secreted by the pineal gland, has multiple biological effects, such as antioxidant and anti-inflammatory properties, circadian rhythm regulation, and tissue regeneration, demonstrating potential applications in the treatment of IS. The aim of this study was to investigate key melatonin-regulated genes associated with IS using transcriptome sequencing and bioinformatics analyses and to explore their potential mechanisms of action in the disease process.

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In recent years, third-generation solar cells have experienced a remarkable growth in efficiency, making them a highly promising alternative energy solution. Currently, high-efficiency solar cells often use top electrodes fabricated by thermal evaporation, which rely on high-cost and high energy-consumption vacuum equipment, raising significant concerns for mass production. This study develops a method for fabricating silver electrodes using the screen-printing process, aiming to achieve solar cell production through an all-solution coating process.

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The relationships among immune cells, metabolites, and AS events were analyzed via Mendelian randomization (MR), and potential immune cells and metabolites were identified as risk factors for AS. Their relationships were subjected to intermediary MR analysis to identify the final immune cells and metabolites. The vertebral bone marrow blood samples from three patients with and without AS were subjected to 10× single-cell sequencing to further elucidate the role of immune cells in AS.

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Methods that can detect brain activities accurately are crucial owing to the increasing prevalence of neurological disorders. In this context, a combination of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) offers a powerful approach to understanding normal and pathological brain functions, thereby overcoming the limitations of each modality, such as susceptibility to artifacts of EEG and limited temporal resolution of fNIRS. However, challenges such as class imbalance and inter-class variability within multisubject data hinder their full potential.

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Norovirus (NoV) virus-like particles (VLPs) adjuvanted with aluminum hydroxide (Alum) are common vaccine candidates in clinical studies. Alum adjuvants usually inefficiently assist recombinant proteins to induce cellular immune responses. Thus, novel adjuvants are required to develop NoV vaccines that could induce both efficient humoral and robust cellular immune responses.

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The aim of this study was to analyze the incidence and characteristics of adverse events following immunization (AEFI) with post-licensure vaccines used in Hebei province from 2018 to 2020 and to evaluate the safety of vaccines. All information of AEFI was gained from national adverse event following immunization surveillance system (NAEFISS) in Hebei Province from 2018 to 2020. Descriptive epidemiology method was used to analyze the data about AEFI in Hebei province.

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