Publications by authors named "Jiayao Zhang"

It has been well validated that chronic psychological stress leads to bone loss, but the underlying mechanism remains unclarified. In this study, we established and analyzed the chronic unpredictable mild stress (CUMS) mice to investigate the miRNA-related pathogenic mechanism involved in psychological stress-induced osteoporosis. Our result found that these CUMS mice exhibited osteoporosis phenotype that is mainly attributed to the abnormal activities of osteoclasts.

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Purpose: To investigate the effect of concomitant chronic lateral ankle instability (CLAI) on postoperative clinical outcomes in patients with osteochondral lesions of the talus (OLTs).

Methods: Patients who underwent surgery for OLTs between January 2018 and May 2022 were retrospectively evaluated. OLT procedures involved debridement, microfracture, or bone grafting, while concomitant CLAI underwent lateral ligament repair or reconstruction.

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The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence.

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  • Biophysical mud aggregates, made of clay minerals and extracellular polymeric substances (EPS), are essential for water quality and aquatic ecosystems, but their complex shapes and settling behaviors in saline water are not well understood.
  • A new dual-view method using an inverted microscope and side camera was developed to take detailed images of these aggregates from different angles, revealing that bottom-view images offer better insights into their geometric properties during settling.
  • The study found that flocs made from clay-EPS mixtures are larger and more irregular than those made from pure clay, with EPS promoting stability in larger flocs during turbulence, indicating that models of flocculation need to consider organic materials and use a multi-perspective approach for better accuracy.
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Artificial intelligence (AI) is an interdisciplinary field that combines computer technology, mathematics, and several other fields. Recently, with the rapid development of machine learning (ML) and deep learning (DL), significant progress has been made in the field of AI. As one of the fastest-growing branches, DL can effectively extract features from big data and optimize the performance of various tasks.

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Objective: To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge.

Methods: We evaluated the performance of the GPT 4.

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Introducing collaborative relay and simultaneous wireless information and power transfer (SWIPT) techniques into a cognitive wireless network, named the SWIPT-enabled cognitive relay network (CRN), is considered a promising approach to deal with insufficiency and the low utilization of spectrum resources, as well as the node's energy-constrained issues in wireless networks. In this paper, to improve the network spectrum efficiency (SE) and energy efficiency (EE) of the SWIPT-enabled CRN, we design an energy-efficient adaptive bidirectional transmission strategy. To be specific, we first select an energy-constrained best relay node with the consideration of signal-to-noise ratio and global channel gain to achieve a better bidirectional relay transmission (BRT).

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  • A study was conducted to assess the knowledge, attitudes, and practices regarding foodborne parasitic diseases among the Chinese population using WeChat as a survey tool.
  • Results from 5,675 valid responses revealed that 76.65% of participants had adequate knowledge, with certain professions and ethnicities showing significantly higher knowledge levels.
  • Despite this knowledge, risky food behaviors persisted, with a notable percentage of participants consuming raw fish and not practicing safe kitchen hygiene.
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  • This study compared the effectiveness of optimized vs. unoptimized large language models (LLMs) in answering orthopedic questions using a specialized knowledge base.
  • A knowledge base was created using clinical guidelines and authoritative publications, and 30 orthopedic questions were posed to both types of LLMs, with responses evaluated by experienced orthopedic surgeons.
  • Results indicated that optimization led to significant improvements across all models in quality, accuracy, and comprehensiveness, suggesting that tailored knowledge bases can enhance LLM performance in specialized fields.
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  • The brain-computer interface (BCI) system connects external devices to the human brain and reflects mental states through EEG signals, which can often be contaminated by various artifacts.
  • The complexity of unprocessed EEG data makes analysis and cleanup difficult, posing challenges for accurate readings.
  • Recent advancements in artificial intelligence (AI) and machine learning have significantly improved the processing of EEG signals, allowing for better understanding of patients' health and potentially enhancing their quality of life.
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Purpose: The purpose of this study was to assess the precision and trueness of three jaw motion tracking systems, the KaVo ARCUSdigma system, SDiMatriX system, and Modjaw system, in recording mandibular movements based on optical and ultrasonic principles.

Materials And Methods: Twenty-five healthy subjects were selected for the present study to measure protrosive movement and left and right lateral movements using the three jaw motion tracking systems. Each subject's mandibular movement was recorded twice with a 1-week interval.

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Objectives: The type of ligamentous tear and the degree of knee laxity have important guiding significance for the diagnosis and management of anterior cruciate ligament (ACL) tears. Instrumental measurement is necessary for ACL tears since physical examination and magnetic resonance imaging (MRI) cannot provide an objective and quantitative assessment of knee laxity. This study aimed to compare the application of a novel knee arthrometer and simultaneous stress radiography in differentiating between complete and partial acute ACL tears, and further assess the correlation between the two measurements.

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  • * The study involved analyzing data from 33 patients who underwent the treatment between 2011 and 2020, focusing on outcomes like pain scores, functional scores, and recurrence rates.
  • * Results showed that most patients experienced significant symptom relief with only a small recurrence rate, and there were no notable differences in outcomes between two surgical approaches used in the study.
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Background: Silage is widely used to formulate dairy cattle rations, and the utilization of antibiotics and methane emissions are 2 major problems for a sustainable and environmentally beneficial ruminant production systems. Bacteriocin has received considerable attention because of its potential as an alternative to antibiotics in animal husbandry. However, the impact of bacteriocin-producing lactic acid bacteria on the microbiological conversion process of whole-plant corn silage and rumen fermentation remains limited.

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  • * The experiments showed that the nozzle achieves a range of droplet sizes (52.45 μm to 113.67 μm) and liquid flow rates (142.6 ml/min to 1,607.8 ml/min), making it suitable for low-volume pesticide spraying.
  • * Results indicate better droplet distribution and coverage compared to traditional nozzles, which indicates potential for improved plant protection and reduced pesticide use; however, more research is needed to fully understand the atomization process.
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The development of gene editing tools has been a significant area of research in the life sciences for nearly 30 years. These tools have been widely utilized in disease detection and mechanism research. In the new century, they have shown potential in addressing various scientific challenges and saving lives through gene editing therapies, particularly in combating cardiovascular disease (CVD).

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Objective: This study aims to evaluate the instructional efficacy of a 3D Surgical Training System (3DSTS), which combines real surgical footage with high-definition 3D animations, against conventional surgical videos and textbooks in the context of orthopedic proximal humerus fracture surgeries.

Design: Before the experiment, 89 participants completed a pre-educational knowledge assessment. They were then randomized into 3 groups: the 3DSTS group (n = 30), the surgical video (SV) group (n = 29), and the textbook group (n = 30).

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Background: Use of a rapid rehabilitation protocol for postoperative recovery after recurrent patellar dislocation (RPD) has gradually gained attention; nonetheless, evidence of its safety and effectiveness is lacking.

Purpose: To compare the short-term postoperative outcomes of early rapid rehabilitation with those of conservative rehabilitation in patients with RPD.

Study Design: Randomized controlled trial; Level of evidence, 2.

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  • The demand for telesurgery is growing, and augmented reality (AR) remote surgery shows potential as a viable option for fracture surgery, despite past limitations of earlier technologies.
  • A retrospective study involving 551 patients compared AR-guided surgeries to traditional methods, assessing safety and effectiveness, with similar complication rates and outcomes reported for both groups.
  • The findings indicate that AR remote surgery can be equally safe and effective as in-person surgeries, marking a significant advancement in the field of fracture treatment without the surgeon's physical presence.
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Purpose: Pancreatic cancer (PC) is one of the most lethal malignant gastrointestinal tumors (GI) characterized by a poor prognosis. Ferroptosis is an emerging programmed cell death that plays an essential role in the progression of various cancers. Ferroptosis is driven by iron-dependent phospholipid peroxidation and is regulated by mitochondrial activity, lipid peroxidation, and reactive oxygen species (ROS).

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Background: Limited literature is available regarding the effect of subchondral cysts on the surgical outcomes for treatment of osteochondral lesion of the talus (OLT).

Purpose: To conduct a systematic review and meta-analysis of studies comparing surgical outcomes between OLTs with and without cysts.

Study Design: Systematic review; Level of evidence, 4.

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Bioelectrochemical systems (BES) have emerged as a dual-function technology for treating wastewater and recovering energy. A vital element of BES is the rapid formation and maintenance of electroactive biofilms (EABs). Previous attempts to accelerate EAB formation and improve electroactivities focused on enhancing the bacterial adhesion process while neglecting the rate-limiting step of the bacterial transport process.

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Rationale: Primary hepatic mucosa-associated lymphoid tissue (MALT) lymphoma is a rare malignant primary hepatic lymphoma. The sensible choice of treatment for patients with primary lymphoma combined with atrial fibrillation (AF) is controversial and challenging.

Patient Concerns: The patient presented with both primary hepatic MALT lymphoma and AF, which was difficult to manage.

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