Publications by authors named "Haiping Huang"

Background: Sepsis-associated acute kidney injury (SA-AKI) is a common complication that can lead to renal failure in patients, significantly affecting the prognosis and survival of patients.

Objective: In this study, we aimed to evaluate the predictive value of NOD-like receptor protein 3 (NLRP3) and interleukin 18 (IL-18) in peripheral blood mononuclear cells (PBMCs) of SA patients for the occurrence of SA-AKI.

Material And Methods: We screened AKI-related data sets using the Gene Expression Omnibus (GEO) database and identified differentially expressed genes (DEGs) associated with AKI.

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In this work, a novel electrochemical sensor based on cobalt tungstate/multi-walled carbon nanotube (CoWO/MWCNT) nanocomposites has been used to detect chlorpromazine hydrochloride (CPZ). The CoWO/MWCNT nanocomposite was obtained by solvothermal technology and ultrasonic method and analyzed using different characterization techniques such as scanning electron microscopy (SEM), X-ray diffractometry (XRD), energy-dispersive spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS). The electrochemical behavior of CoWO/MWCNT/GCE was explored using cyclic voltammetry (CV).

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Objective: This study aimed to analyse the relevant factors that may affect post-stroke fatigue (PSF) in patients with stroke and further explore the correlation between family functioning and PSF.

Methods: Patients who had experienced a first episode of stroke and were admitted to the Department of Neurology of the First Affiliated Hospital of Wenzhou Medical University were rigorously screened. The general data and family functioning of the patients on admission were collected, and their family adaptation, partnership, growth, affection and resolve scores and their PSF on the 5th day of admission were collected using the fatigue severity scale (FSS).

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Article Synopsis
  • Time-dependent diffusion MRI is being studied for its potential to noninvasively predict tumor properties and patient outcomes in breast cancer, focusing on molecular subtypes and pathologic complete response (pCR).
  • A study involving 408 breast cancer participants analyzed microstructural parameters and ADC measurements to develop a predictive model, with results demonstrating the MRI technique's ability to identify different breast cancer subtypes effectively.
  • The predictive model showed high performance for HER2-enriched breast cancer (AUC 0.85) and better results compared to traditional ADC measurements, indicating its significance in clinical evaluations for breast cancer treatment.
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Introduction: This study aimed to develop a deep learning-based method for generating three-dimensional heart mesh models for patients with congenital heart disease by integrating medical imaging and clinical diagnostic information.

Methods: A deep learning model was trained using CT and cardiac MRI, along with clinical data from 110 patients. The Web-based platform automatically outputs STL files for 3D printing and Unity 3D OBJ files for virtual reality (VR) applications upon uploading the medical images and diagnostic information.

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Article Synopsis
  • * Results from 21 studies with 822 participants showed that RAGT significantly improved scores in lower limb motor function, walking ability, balance, and endurance in stroke patients.
  • * For optimal improvement in lower limb function, the study suggests training should be 40-60 minutes per session, 2-5 times per week, over a duration of 8-12 weeks.
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Spiking neural networks play an important role in brainlike neuromorphic computations and in studying working mechanisms of neural circuits. One drawback of training a large-scale spiking neural network is that updating all weights is quite expensive. Furthermore, after training, all information related to the computational task is hidden into the weight matrix, prohibiting us from a transparent understanding of circuit mechanisms.

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Introductin: Improper gait patterns, impaired balance and foot drop consistently plague stroke survivors, preventing them from walking independently and safely. Neuromuscular electrical stimulation (NMES) technology can help patients reactivate their muscles and regain motor coordination. This study aims to systematically review and summarize the evidence for the potential benefits of NMES on the improvement of gait patterns after stroke.

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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common chronic liver disease.

Objective: This study aimed to investigate the self-management ability of patients with MASLD, analyse related factors that may affect self-management ability and evaluate the impact of this ability on readmission.

Methods: The study recruited patients with MASLD admitted to the Department of Infectious Diseases, First Affiliated Hospital of Wenzhou Medical University, between February and October 2021 using the random sampling method.

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A good theory of mathematical beauty is more practical than any current observation, as new predictions about physical reality can be self-consistently verified. This belief applies to the current status of understanding deep neural networks including large language models and even the biological intelligence. Toy models provide a metaphor of physical reality, allowing mathematically formulating the reality (i.

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Mitochondria play a crucial role in the progression of nasopharyngeal carcinoma (NPC). YME1L, a member of the AAA ATPase family, is a key regulator of mitochondrial function and has been implicated in various cellular processes and diseases. This study investigates the expression and functional significance of YME1L in NPC.

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Large language models based on self-attention mechanisms have achieved astonishing performances, not only in natural language itself, but also in a variety of tasks of different nature. However, regarding processing language, our human brain may not operate using the same principle. Then, a debate is established on the connection between brain computation and artificial self-supervision adopted in large language models.

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Background: There is a significant increase in the number of SARS-CoV-2 reinfection reports in various countries. However, the trend of reinfection rate over time is not clear.

Methods: We searched PubMed, Web of Science, Medline, Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, and Wanfang for cohort studies, case-control studies, and cross-sectional studies up to March 16, 2023, to conduct a meta-analysis of global SARS-CoV-2 reinfection rate.

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To establish a risk prediction model for postoperative control of chronic sinusitis with nasal polyps. Retrospective analysis was done on the clinical of patients who underwent endoscopic sinus surgery in the Department of Otolaryngology of the First Affiliated Hospital of Soochow University during August 2020 to June 2021. Patients were classified into uncontrolled group(40 cases) and controlled group(104 cases), based on the European Position Paper on rhinosinusitis and nasal polyps(EPOS 2020), and the clinical and pathological characteristics of the two groups were compared.

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Rationale: This article presents the case of a patient with recurrent chronic diarrhea and cachexia who was misdiagnosed, followed by a literature review to summarize the reasons for misdiagnosis of POEMS syndrome and the treatment strategies.

Patient Concerns: The diagnosis and treatment of this patient suggest that with the improvement of M-protein detection levels, the diagnosis of patients with low M-protein levels, such as those with POEMS syndrome, has been greatly aided.

Diagnoses: POEMS syndrome requires polyneuropathy and monoclonal plasma cell proliferation as mandatory diagnostic criteria.

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Objective: To clarify the application effect of information-guided enteral nutrition-associated diarrhea (ENAD) management process in patients with chronic obstructive pulmonary disease (COPD) undergoing non-invasive assisted ventilation.

Methods: A mixed cohort study of pre- and post-control was conducted. Thirty-nine patients with COPD who were admitted to the emergency intensive care unit (ICU) of Huzhou First People's Hospital from July 1, 2021 to July 31, 2022 were enrolled.

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To automatically mine structured semantic topics from text, neural topic modeling has arisen and made some progress. However, most existing work focuses on designing a mechanism to enhance topic coherence but sacrificing the diversity of the extracted topics. To address this limitation, we propose the first neural-based topic modeling approach purely based on mutual information maximization, called the mutual information topic (MIT) model, in this article.

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Purpose: To investigate the feasibility of dual-energy CT (DECT)-derived extracellular volume (ECV) fraction for characterization of breast tumors, compared to apparent diffusion coefficient (ADC) and validated against histopathological findings.

Material And Methods: The ECV fraction and ADC were prospectively assessed in patients with breast tumors using chest DECT and breast MRI. The diagnostic performance of ECV fraction and ADC was accessed in predicting breast histopathological subtypes and pathological complete response (pCR) status.

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Inflammatory myofibroblastic tumors (IMTs) are rare lesions with distinct clinical, pathological, and molecular characteristics. IMTs typically arise in the abdominal soft tissues, including the mesentery, omentum, and retroperitoneum, followed by the lungs and mediastinum, and usually affect both children and young adults. Herein, we present a rare case of an IMT in the submandibular gland of a 47-year-old male patient.

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Background: This study aimed to investigate the knowledge, attitudes and practices (KAP) of patients with chronic pharyngitis in Suzhou, China toward laryngopharyngeal reflux (LPR).

Methods: This cross-sectional study was conducted in patients with chronic pharyngitis in Suzhou, China at the otolaryngology outpatient clinic of the First Affiliated Hospital of Soochow University between November, 2022, and May, 2023. Data was collected through a self-designed online questionnaire encompassing the sociodemographic characteristics and three dimensions of KAP.

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At present, many researchers are focusing on trivalent lanthanide (Ln)-doped thermally enhanced upconversion luminescent (UCL) materials with negative thermal expansion (NTE) properties. However, selective anti-thermal quenching downshifting emissions of the activator and thermal quenching of the sensitizer in a phosphor with NTE properties are not implemented. Herein, Tb/Eu co-doped Sc(WO) phosphors synthesized by the solid-state method are explored in selectively enhanced red emission (Eu:D → F) due to the energy-transfer efficiency from Tb to Eu and the promoted radiative transition probability.

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Bioconversion of coal to methane occurs in the coalbed aquifer environment. To investigate the evidence of coal biodegradation from coalbed-produced water, we collected six field water samples from the Dafosi gas field and prepared one laboratory-simulated water sample and one indoor anaerobic microbial degradation sample with the highest compound concentration as the two reference standards. Gas chromatography-mass spectrometry was used to detect the organic compound type, concentration, and differences in the biomarker compound sensitivity.

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To extract weak fetal ECG signals from the mixed ECG signal on the mother's abdominal wall, providing a basis for accurately estimating fetal heart rate and analyzing fetal ECG morphology. First, based on the relationship between the maternal chest ECG signal and the maternal ECG component in the abdominal signal, the temporal convolutional encoder-decoder network (TCED-Net) model is trained to fit the nonlinear transmission of the maternal ECG signal from the chest to the abdominal wall. Then, the maternal chest ECG signal is nonlinearly transformed to estimate the maternal ECG component in the abdominal mixed signal.

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An obstacle to artificial general intelligence is set by continual learning of multiple tasks of a different nature. Recently, various heuristic tricks, both from machine learning and from neuroscience angles, were proposed, but they lack a unified theory foundation. Here, we focus on continual learning in single-layered and multilayered neural networks of binary weights.

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Thermal quenching (TQ) is still a critical challenge for lanthanide (Ln)-doped luminescent materials. Herein, we report the novel negative thermal expansion nonhygroscopic phosphor ZrSc(WO)PO:Yb/Er. Upon excitation with a 980 nm laser, a simultaneous thermal enhancement is realized on upconversion (UC) and downshifting (DS) emissions from room temperature to 573 K.

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