Publications by authors named "Ping P"

Cervical cancer (CC) is a common malignant tumour of the female reproductive system that is highly harmful to women's health. The efficacy of traditional surgery, radiotherapy and chemotherapy is limited, especially for recurrent and metastatic CC. With continuous progress in diagnostic and treatment technology, immunotherapy has become a new approach for treating CC and has become a new therapy for recurrent and metastatic CC.

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A growing body of biomedical literature suggests a bidirectional regulatory relationship between cardiac calcium (Ca)-regulating proteins and reactive oxygen species (ROS) that is integral to the pathogenesis of various cardiac disorders via oxidative stress (OS) signaling. To address the challenge of finding hidden connections within the growing volume of biomedical research, we developed a data science pipeline for efficient data extraction, transformation, and loading. Employing the CaseOLAP (Context-Aware Semantic Analytic Processing) algorithm, our pipeline quantifies interactions between 128 human cardiomyocyte Ca-regulating proteins and eight cardiovascular disease (CVD) categories.

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Foundation Models (FMs) are gaining increasing attention in the biomedical artificial intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal biomedical data. These capabilities make FMs a valuable tool for a variety of tasks, including biomedical reasoning, hypothesis generation, and interpreting complex imaging data. In this review paper, we address the unique challenges associated with establishing an ethical and trustworthy biomedical AI ecosystem, with a particular focus on the development of FMs and their downstream applications.

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With the development of neonatal medicine, more and more extremely preterm infants have been treated. How to deal with hypotension is a big challenge for neonatologist in the process of diagnosis and treatment. The lack of uniformity in the definition of hypotension, challenges in measuring blood pressure accurately, and insufficient consistency between digital hypotension and hypoperfusion are the primary causes.

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Temporal proteomics data sets are often confounded by the challenges of missing values. These missing data points, in a time-series context, can lead to fluctuations in measurements or the omission of critical events, thus hindering the ability to fully comprehend the underlying biomedical processes. We introduce a Data Multiple Imputation (DMI) pipeline designed to address this challenge in temporal data set turnover rate quantifications, enabling robust downstream analysis to gain novel discoveries.

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The accurate detection of electrical equipment states and faults is crucial for the reliable operation of such equipment and for maintaining the health of the overall power system. The state of power equipment can be effectively monitored through deep learning-based visual inspection methods, which provide essential information for diagnosing and predicting equipment failures. However, there are significant challenges: on the one hand, electrical equipment typically operates in complex environments, thus resulting in captured images that contain environmental noise, which significantly reduces the accuracy of state recognition based on visual perception.

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: Cardiorespiratory fitness positively correlates with longevity and immune health. Regular exercise may provide health benefits by reducing systemic inflammation. In chronic disease conditions, such as chronic heart failure and chronic fatigue syndrome, mechanistic links have been postulated between inflammation, muscle weakness, frailty, catabolic/anabolic imbalance, and aberrant chronic activation of immunity with monocyte upregulation.

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In recent years, abnormalities in plasma omega-3 polyunsaturated fatty acids (omega-3 PUFAs) have been proven to be related to the risk of cancer, but their prognostic value for cancer is unclear. The purpose of this study was to retrospectively evaluate the response and prognostic significance of plasma omega-3 PUFAs in patients with cervical squamous cell carcinoma (CSCC) treated with concurrent chemoradiotherapy (CCRT). Spearman rank correlation analysis was used to analyze the correlation between omega-3 PUFAs and squamous cell carcinoma antigen (SCC-Ag) levels.

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Article Synopsis
  • The safety issues surrounding lithium-ion batteries (LIBs), particularly the risk of thermal runaway (TR), limit their broader application and necessitate accurate TR predictions for improved design and safety.
  • This paper reviews the current state of TR modeling technologies, outlining recent advancements, challenges in multiscale and multiphysics simulations, and future directions for research.
  • It introduces a multiphysics coupling model framework that combines thermal, electrical, mechanical, and fluid dynamic models while proposing strategies to enhance computational efficiency and discussing the potential impact of AI on TR modeling.
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Craniopharyngioma is uncommon benign intracranial tumour that can be cured by surgical resection followed by conventional radiotherapy. However, its anatomical localisation makes the treatment hazardous or impossible. This case report aims to discuss the first local experience of using beta-emitting Yttrium-90 radioisotope in treating a patient with refractory cystic craniopharyngioma.

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In this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting measurements to the estimator. The occurrence probability of measurement loss is computed at each instant according to the probability distribution of the energy harvesting mechanism.

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Epidemiology has demonstrated that plasma free fatty acids (FFAs) can prevent the development of cancer. Our study sought to evaluate the relationship between plasma (FFA) levels and cervical cancer. In recent years, metabolomics-based approaches have been recognized as an emerging tool, so we examined the plasma FFA profiles of 114 patients with cervical cancer and 151 healthy people using liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods.

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Background: Recent evidence indicates that Shexiang Baoxin Pill (MUSKARDIA), as an add-on treatment to standard therapy for stable coronary artery disease (CAD), is effective. Nevertheless, the cost-effectiveness of introducing the Shexiang Baoxin Pill (Abbreviation SBP) to the current standard treatment for patients with CAD in China remains unknown.

Objective: The objective of this study was to assess the cost-effectiveness of introducing SBP into the current standard treatment in China for patients with CAD.

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Aims: Cardiac hypertrophy, an adaptive response of the heart to stress overload, is closely associated with heart failure and sudden cardiac death. This study aimed to investigate the therapeutic effects of chlorogenic acid (CGA) on cardiac hypertrophy and elucidate the underlying mechanisms.

Methods And Results: To simulate cardiac hypertrophy, myocardial cells were exposed to isoproterenol (ISO, 10 μM).

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Accurate terrain mapping information is very important for foot landing planning and motion control in foot robots. Therefore, a terrain mapping method suitable for an indoor structured environment is proposed in this paper. Firstly, by constructing a terrain mapping framework and adding the estimation of the robot's pose, the algorithm converts the distance sensor measurement results into terrain height information and maps them into the voxel grid, and effectively reducing the influence of pose uncertainty in a robot system.

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Background: The world is currently facing a much-needed conundrum, and population aging has become an important worldwide problem. Appropriate nutritional intervention could prolong survival time and reduce mortality rate. However, scarce study has involved the effects of nutrition on survival time in centenarians and evaluated the malnutrition with prognostic nutritional index (PNI) in relation to healthy aging.

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Post-translational modifications (PTMs) serve as key regulatory mechanisms in various cellular processes; altered PTMs can potentially lead to human diseases. We present a protocol for using MIND-S (multi-label interpretable deep-learning approach for PTM prediction-structure version), to study PTMs. This protocol consists of step-by-step guide and includes three key applications of MIND-S: PTM predictions based on protein sequences, important amino acids identification, and elucidation of altered PTM landscape resulting from molecular mutations.

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The rapidly increasing and vast quantities of biomedical reports, each containing numerous entities and rich information, represent a rich resource for biomedical text-mining applications. These tools enable investigators to integrate, conceptualize, and translate these discoveries to uncover new insights into disease pathology and therapeutics. In this protocol, we present CaseOLAP LIFT, a new computational pipeline to investigate cellular components and their disease associations by extracting user-selected information from text datasets (e.

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Acute myocardial infarction (AMI) is a common cardiovascular condition that progressively results in heart failure. In the present study, we have designed to load transforming growth factor beta 3 (TGF-β3) and cardio potential exosomes into the blended polycaprolactone/type I collagen (PCL/COL-1) nanofibrous patch (Exo@TGF-β3@NFs) and examined its feasibility for cardiac repair. The bioactivity of the developed NFs towards the migration and proliferation of human umbilical vein endothelial cells was determined using in vitro cell compatibility assays.

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Dyslipidemia and cognitive impairment are common among old adults and the occurrence of them rises exponentially with increasing age. Evidences of the relationships between serum lipids and cognitive impairment are inconsistent or equivocal among older adults. This study aimed to investigate the associations between lipid profiles and late-life cognitive impairment among oldest-old and centenarian adults.

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Purpose: With a rapid increase in older adults, progressive impairment in cognitive function has become an increasing concern owing to high social and economic burdens. The current study was designed to investigate the associations of sex hormones and bone metabolism with cognitive impairment (CI) in Chinese oldest-old females.

Methods: There were 396 oldest-old females from the China Hainan Oldest-old Cohort Study (CHOCS).

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This study was to explore epidemiological characteristics of malnutrition and factors associated with malnutrition in centenarians and oldest-old adults, so as to provide a reference for family members and government departments to take effective measures and promote healthy aging. Median age of all 1,654 participants was 100 (85, 102) years old, and prevalence of high malnutrition risk was 65.54% in all participants.

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