Publications by authors named "Haomin Li"

The discovery of diverse functions and mechanisms in cancer has underscored the significance of emerging non-coding RNAs (ncRNAs), such as PIWI-interacting RNAs (piRNAs) and circular RNAs (circRNAs), within the clinical context of cancer. Understanding their role in clear cell renal cell carcinoma (ccRCC) is imperative and necessitates comprehensive investigation. This study aims to further explore the diagnostic potential of piRNAs and circRNAs for ccRCC.

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Background: Although successful treatment of papillary craniopharyngiomas (PCPs) with BRAFv600e inhibitors has been reported in clinical trials, studies have shown that approximately 10% of PCPs lack the BRAFv600e mutation and that BRAFv600e inhibitors may not be significantly effective against these tumors. However, no studies have focused specifically on BRAFv600e PCPs.

Methods: Spatial transcriptome sequencing was performed on calcified PCP tissue to identify novel subtypes of PCP cells.

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Background: Intra or extra medullary fixation for subtrochanteric fractures (STF) is still controversial. And the strain on fracture site and implant have not been reported. The aim of our study is to evaluate the differences in strain at the medial and lateral cortex of the subtrochanteric region with PFNA, 'upside-down' LISS and PFLP fixing different types of subtrochanteric femoral fractures under static loads.

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Pneumonia represents a significant cause of mortality in children globally, emphasizing the importance of identifying high-risk patients to improve clinical outcomes. There is a lack of reliable laboratory markers and robust risk stratification models for clinical decision support in pediatric pneumonia. This study extracted data from the Paediatric Intensive Care database for 749 children under 3 years with severe pneumonia.

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Background: The associations of PM mass and various adverse health outcomes have been widely investigated. However, fewer studies focused on the potential health impacts of PM components, especially for dementia and Alzheimer's diseases (AD).

Methods: We constructed a nationwide population-based open cohort study among Medicare beneficiaries aged 65 or older during 2000-2018.

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Article Synopsis
  • Gas chromatography-mass spectrometry (GC-MS) is an effective method for urine analysis, but its application for screening inborn errors of metabolism (IEM) is limited due to the rarity of IEM and the complexity of data interpretation.
  • A machine learning model based on 355,197 GC-MS test cases from China was developed to better identify and classify rare IEMs, using techniques like undersampling and oversampling to handle imbalanced data.
  • The proposed model demonstrates high sensitivity and accuracy in identifying specific IEMs, suggesting that machine learning can significantly enhance the interpretation and efficiency of GC-MS for IEM screening.
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Introduction: Path planning algorithms are challenging to implement with mobile robots in orchards due to kinematic constraints and unstructured environments with narrow and irregularly distributed obstacles.

Methods: To address these challenges and ensure operational safety, a local path planning method for orchard mowers is proposed in this study. This method accounts for the structural characteristics of the mowing operation route and utilizes a path-velocity decoupling method for local planning based on following the global reference operation route, which includes two innovations.

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  • A study in Hangzhou, China analyzed the impact of environmental variables on pediatric asthma visits from 2014 to 2021 and found inconsistent results in previous studies, prompting a deeper investigation.
  • Using a specialized statistical model, researchers found that pollutants like PM (particulate matter) and NO (nitrogen dioxide) significantly correlated with increased asthma visits, particularly peaking on specific lag days.
  • The findings indicated that NO was the most critical risk factor, especially affecting males more than females, suggesting that parents should focus on reducing NO exposure to better manage their children's asthma.
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  • Large language models (LLMs) show promise for clinical use, but issues with errors and harmful outputs limit their application, especially in rare diseases (RDs).
  • The study presents RDguru, an AI agent built on the LangChain framework using GPT-3.5-turbo, which provides advanced medical consultations, knowledge Q&A, and a unique diagnostic model for improved accuracy.
  • RDguru outperforms ChatGPT and current top methods by effectively integrating multiple diagnostic strategies and enhancing clinical decision-making in rare disease cases.
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Background: Traumatic brain injury (TBI) is a major cause of neurological disability, and current treatments have limited effectiveness. Recent studies have emphasized the potential of exosomes derived from umbilical cord mesenchymal stem cells (UC-MSCs-Exo) in TBI treatment, but the molecular mechanisms underlying their therapeutic effects are not fully understood.

Methods And Results: In this study, UC-MSCs-Exo was isolated using ultracentrifugation and intraventricularly injected to TBI rat model.

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Background: Acute kidney injury (AKI) is a common complication after pediatric cardiac surgery. And autologous blood transfusion (ABT) is an important predictor of postoperative AKI. Unlike previous studies, which mainly focused on the correlation between ABT and AKI, the current study focuses heavily on the causal relationship between them, thus providing guidance for the treatment of patients during hospitalization to reduce the occurrence of AKI.

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Purpose: The objective of this study was to provide a comprehensive review of the existing literature regarding the treatment of osteochondral lesions of the talus (OLT) using autologous matrix-induced chondrogenesis (AMIC), while also discussing the mid-long term functional outcomes, complications, and surgical failure rate.

Methods: We searched Embase, PubMed, and Web of Science for studies on OLT treated with AMIC with an average follow-up of at least 2 years. Publication information, patient data, functional scores, surgical failure rate, and complications were extracted.

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Electromagnetic wire is the carrier of energy and signal transmission. With the rapid development in aerospace, atomic energy, and other industrial fields, there is an increasing demand for the high-temperature-resistance of electromagnetic wires. In using traditional electromagnetic wires, it is difficult to meet the current temperature-resistance requirements.

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Micro-arc oxidation (MAO) is a promising technology for enhancing the wear resistance of engine cylinders by growing a high hardness alumina ceramic film on the surface of light aluminum engine cylinders. However, the positive and negative pulse coordination, voltage characteristic signal, hardness distribution characteristics of the ceramic film, and their internal mechanism during the growth process are still unclear. This paper investigates the synergistic effect mechanism of cathodic and anodic current on the growth behaviour of alumina, dynamic voltage signal, and hardness distribution of micro-arc oxidation film.

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Article Synopsis
  • The objective of the text is to give a detailed overview of different surgical options for treating osteochondral lesions of the talus (OLT) and their implications for clinical practice.
  • Various surgical treatments have been identified, each showing promise with distinct advantages and disadvantages, particularly in terms of short-term and long-term effectiveness.
  • A range of techniques such as autologous therapies, juvenile cartilage allografts, and new approaches like cell transplantation and autologous matrix-induced chondrogenesis are discussed, but some methods face challenges like high costs or inadequate supporting research.
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Objective: Compare the effectiveness of multiple mitigation measures designed to protect nursing home residents from infectious disease outbreaks.

Design: Agent-based simulation study.

Setting: Simulation environment of a small nursing home.

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Purpose: The aim of this study was to present our initial experience and prove the feasibility of total intracorporeal laparoscopic ileal ureter replacement (TILIUR) in a single position for ureteral stricture based on membrane anatomy.

Materials And Methods: Between January 2021 and April 2023, six patients underwent TILIUR in a single position for ureteral strictures based on membrane anatomy. All patients with a past medical history underwent radical hysterectomy with bilateral pelvic lymph node dissection as well as extensive ureteral stricture due to radiotherapy.

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Partial endothelial-to-mesenchymal transition (EndMT) is an intermediate phenotype observed in endothelial cells (ECs) undergoing a transition toward a mesenchymal state to support neovascularization during (patho)physiological angiogenesis. Here, we investigated the occurrence of partial EndMT in ECs under hypoxic/ischemic conditions and identified general transcription factor IIH subunit 4 (GTF2H4) as a positive regulator of this process. In addition, we discovered that GTF2H4 collaborates with its target protein excision repair cross-complementation group 3 (ERCC3) to co-regulate partial EndMT.

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Article Synopsis
  • COVID-19 generally causes mild symptoms in children, but some cases can be severe or critical, leading to serious health issues or even death, highlighting the need for more research and attention from healthcare professionals.
  • A review of existing literature identified that children with multiple health conditions or who are unvaccinated are at a greater risk of severe COVID-19, with common severe complications including acute respiratory distress, pneumonia, and various cardiovascular and neurological issues.
  • There are significant differences in immune responses between children and adults during COVID-19, yet clinical trials and treatment guidelines for children are limited, indicating a need for tailored research and management strategies specific to the pediatric population.
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Background: Although evidence-based medicine proposes personalized care that considers the best evidence, it still fails to address personal treatment in many real clinical scenarios where the complexity of the situation makes none of the available evidence applicable. "Medicine-based evidence" (MBE), in which big data and machine learning techniques are embraced to derive treatment responses from appropriately matched patients in real-world clinical practice, was proposed. However, many challenges remain in translating this conceptual framework into practice.

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Primary Objective: This study aims to create a pediatric head injury database based on cranial CT examinations and explore their epidemiologic characteristics.

Methods: Data related to cranial CT examinations of pediatric head injuries from March 2014 to March 2021 were collected at outpatient and emergency department of a pediatric medical center. The causes of injury, observable post-injury symptoms, and cranial injury findings were extracted with the assistance of natural language processing techniques.

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Background: Clinicians often lack the necessary expertise to differentially diagnose multiple underlying rare diseases (RDs) due to their complex and overlapping clinical features, leading to misdiagnoses and delayed treatments. The aim of this study is to develop a novel electronic differential diagnostic support system for RDs.

Method: Through integrating two Bayesian diagnostic methods, a candidate list was generated with enhance clinical interpretability for the further Q&A based differential diagnosis (DDX).

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The fixation for lateral malleolar fracture in ankle fractures is still controversial. The purpose of this meta-analysis is to compare clinical and radiological outcomes between intramedullary nail (IMN) and plate for lateral malleolar fractures in ankle fractures. The PubMed, EMBASE, and Cochrane Library were searched for randomized controlled trials (RCTs) from databases inception to June 2023.

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Photoluminescence is one of the most meticulous ways to manipulate light energy. Typical photoluminescent emitters are mostly stable substances with a pure photophysical process of spontaneous photon-emission from their excited states. Intermediate emitters are elusive attributing to their synchronous energy transfer process including photophysical and incomplete photochemical pathways.

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In orchard scenes, the complex terrain environment will affect the operational safety of mowing robots. For this reason, this paper proposes an improved local path planning algorithm for an artificial potential field, which introduces the scope of an elliptic repulsion potential field as the boundary potential field. The potential field function adopts an improved variable polynomial and adds a distance factor, which effectively solves the problems of unreachable targets and local minima.

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