Publications by authors named "Li I"

Semiconducting transition metal dichalcogenides (TMDs) possess exceptional photoelectronic properties, rendering them excellent channel materials for phototransistors and holding great promise for future optoelectronics. However, the attainment of high-performance photodetection has been impeded by challenges pertaining to electrical contact. To surmount this obstacle, we introduce a phototransistor architecture, in which the WS channel is connected with an alternating WS-WSe strip superstructure, strategically positioned alongside the source and drain contact regions.

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Recruitment challenges in clinical research are widespread, particularly for traditionally under-represented groups. Referral relationships-in which research partners and clinical partners agree to collaborate on selected research studies or programmes, with the expectation that the clinical partners refer appropriate patients as potential participants-may help alleviate these challenges. Referral relationships allow research partners access to expanded and more diverse pools of participants by increasing the engagement of medical providers, leveraging providers' connections with patients and providing structural support for study participation.

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Background: Parkinson's disease (PD) is one of the most common neurodegenerative disorders. Previous research has confirmed that isofraxidin can reduce macrophage expression and inhibit peripheral inflammation. However, its effects on the central nervous system remain underexplored.

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Introduction: Diffusion weighted MRI (DWI) has emerged as a promising adjunct to reduce unnecessary biopsies prompted by breast MRI through use of apparent diffusion coefficient (ADC) measures. The purpose of this study was to investigate the effects of different lesion ADC measurement approaches and ADC cutoffs on the diagnostic performance of breast DWI in a high-risk MRI screening cohort to identify the optimal approach for clinical incorporation.

Methods: Consecutive screening breast MRI examinations (August 2014-Dec 2018) that prompted a biopsy for a suspicious breast lesion (BI-RADS 4 or 5) were retrospectively evaluated.

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Background: Patients with terminal illness often experience significant physical and mental suffering. This distress affects the patients themselves, as they endure the pain of their condition and their family members, who are affected by the patient's situation and medical decisions. Furthermore, exploring the patients' and their families' concepts of a "good death" is crucial for reflecting on the value of life and for planning treatment or care models (such as advance care planning).

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Quantitative dynamic contrast-enhanced (DCE) MRI as a promising method for the prediction of breast cancer response to neoadjuvant chemotherapy (NAC) has been demonstrated mostly in single-center and single-vendor platform studies. This preliminary study reports the initial experience in implementing quantitative breast DCE-MRI in multi-center (MC) and multi-vendor platform (MP) settings to predict NAC response. MRI data, including B mapping, variable flip angle (VFA) measurements of native tissue R (R), and DCE-MRI, were acquired during NAC at three sites using 3T systems with Siemens, Philips, and GE platforms, respectively.

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  • The XENONnT dark matter experiment successfully measured nuclear recoils from solar ^{8}B neutrinos, marking a significant advancement in neutrino detection technology.
  • Using a two-phase time projection chamber with a 5.9 t liquid xenon target, the experiment produced 37 observed events, which surpassed the expected background events, indicating a notable signal.
  • The results provide a measured solar neutrino flux consistent with previous studies and confirm the neutrino cross section predictions aligned with the Standard Model, showcasing the effectiveness of dark matter detectors in neutrino research.
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  • Cognitive biases in clinical decision-making lead to misdiagnoses and hurt patient outcomes, making it essential to find solutions in the medical field.
  • The study explores how large language models (like GPT-4) can help reduce these biases through a multi-agent framework that simulates clinical team interactions to enhance diagnostic accuracy.
  • Results showed that while initial diagnoses were completely inaccurate, using the multi-agent framework improved the accuracy of final differential diagnoses to 76%, indicating its potential as a valuable tool in medical decision-making.
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Background: Indigenous people in high-income countries have worse eye health outcomes when compared to non-Indigenous people, contributing to ongoing socioeconomic disadvantage. Although services have been designed to address these disparities, it is unclear if they have undergone comprehensive economic evaluation. Our scoping review aimed to identify the number, type, quality, and main findings of such evaluations.

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The fusion of synthetic biology and materials science offers exciting opportunities to produce sustainable materials that can perform programmed biological functions such as sensing and responding or enhance material properties through biological means. Bacterial cellulose (BC) is a unique material for this challenge due to its high-performance material properties and ease of production from culturable microbes. Research in the past decade has focused on expanding the benefits and applications of BC through many approaches.

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  • The text discusses a method for analyzing survival data where some patients may never experience the event of interest, using a mixture cure Cox model and an accelerated failure time (AFT) model when applicable.
  • It introduces a penalized likelihood technique to estimate mixture cure semi-parametric AFT models, which accounts for various types of censored data and uses Gaussian basis functions for baseline hazard estimation.
  • The method's efficacy is validated through simulation studies and a real case study on melanoma recurrence, showcasing its advantages over existing methods like the smcure R package and making it accessible via the aftQnp R package.
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Background: Chest pain is a common cause of presentation to the emergency department (ED), and its outcomes are affected by various diagnostic tests and timely management. Our aim was to identify determinants of invasive coronary angiography (ICA) in a chest pain cohort following ED presentation, and to compare outcomes by time to ICA.

Methods: We identified all adults aged ≥20 years presenting with chest pain to public teaching hospital EDs in Perth, Western Australia, from 1 January 2016 to 31 March 2017.

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Background: The clinical consequences of an antibiotic allergy label are detrimental, impacting health care delivery and patient outcomes. We assessed hospital inpatients with intent to offer free antibiotic allergy labeling (AAL) assessment within a randomized controlled trial.

Objective: We sought to determine the feasibility of establishing an adult antibiotic allergy delabeling service in a Western Australian tertiary public hospital.

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  • A study aimed to improve the identification of patients with type 2 diabetes (T2D) who are at risk for major cardiovascular events by combining clinical risk scores with a genetic coronary heart disease (CHD) polygenic risk score (PRS).
  • The research involved analyzing data from 10,556 T2D individuals aged 40-79, finding that the CHD PRS could significantly enhance risk prediction for major adverse cardiovascular events (MACE), especially among those initially classified at low risk.
  • The results indicated that using the CHD PRS alongside traditional clinical risk assessments provided better forecasting of cardiovascular risks, potentially allowing for more tailored treatment strategies.
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  • Biological catch bonds, unlike regular adhesives, become stronger under increased tension, playing a crucial role in cell adhesion and communication.
  • The study introduces the "fish-hook," a specially designed DNA catch bond that allows for precise adjustments in how it responds to tension.
  • By modeling and testing these DNA structures, the research highlights the potential for reprogramming biological interactions and creating innovative materials that can strengthen under force.
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  • Medical texts are difficult to manage and time-consuming to curate manually, prompting the development of NLP algorithms to automate this process for improved efficiency in the biomedical field.
  • The study introduces Ascle, a user-friendly tool designed for biomedical researchers that offers generative functions like question-answering and text summarization, along with 12 essential NLP functions and search capabilities.
  • After fine-tuning 32 language models and validating through physician assessments, results showed significant improvements in text generation tasks, with notable increases in machine translation and question-answering accuracy.
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Erinacine A has been proven to have the ability to protect nerves and have the benefit of neurohealth. However, the pharmacokinetic and metabolites study of erinacine A in pigs, whose physiology and anatomy are similar to humans, have not been reported. In this study, 5 mg/kg of erinacine A was intravenously administered to the landrace pig.

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In response to the growing demand for immune-related products, this study evaluated the safety and immune-modulating potential of three newly discovered strains (GKM3, GKK1, and GKD7) through toxicity tests and whole-genome sequencing. Safety evaluations, including the analysis of antimicrobial resistance genes, virulence factors, plasmids, and prophages, classified these strains as safe for human consumption. Acute oral toxicity tests further supported their safety.

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  • This study analyzed physical and mental health quality-of-life changes and health service access in Australia before and after the COVID-19 pandemic, focusing on low and high socio-economic status (SES) individuals.
  • Results showed that higher SES individuals experienced greater declines in mental health quality-of-life, while lower SES individuals faced less disruption in accessing health services, especially dental and allied health services.
  • Longer lockdowns correlated with reduced access to health services, indicating that those with long-term health conditions, regardless of SES, experienced difficulties in accessing necessary care during the pandemic.
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The XENONnT dark matter experiment.

Eur Phys J C Part Fields

August 2024

The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and sensitivity. The XENONnT experiment is the latest detector in the program, planned to be an upgrade of its predecessor XENON1T. It features an active target of 5.

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Digital interventions can offer accessible and scalable treatment for chronic conditions, though often focus separately on physical or mental health. People accessing digital health services may live with multiple conditions or experience overlapping symptoms. This study aimed to describe the breadth and characteristics of chronic health conditions and self-reported disability among routine users of a digital mental health service, and to examine related motivations to engage with digital mental health interventions.

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Sleeping on the back after 28 weeks of pregnancy has recently been associated with giving birth to a small-for-gestational-age infant and late stillbirth, but whether a causal relationship exists is currently unknown and difficult to study prospectively. This study was conducted to build a computer vision model that can automatically detect sleeping position in pregnancy under real-world conditions. Real-world overnight video recordings were collected from an ongoing, Canada-wide, prospective, four-night, home sleep apnea study and controlled-setting video recordings were used from a previous study.

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