Publications by authors named "CT Lin"

Carbazole-derived self-assembled monolayers (SAMs) are promising materials for hole-extraction layer (HEL) in conventional organic photovoltaics (OPVs). Here, a SAM Cbz-2Ph derived from 3,6-diphenylcarbazole is demonstrated. The large molecular dipole moment of Cbz-2Ph allows the modulation of electrode work function to facilitate hole extraction and maximize photovoltage, thus improving the OPV performance.

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Graphene-based supercapacitors have gained significant attention due to their exceptional energy storage capabilities. Despite numerous research efforts trying to improve the performance, the challenge of experimentally elucidating the nanoscale-interface molecular characteristics still needs to be tackled for device optimizations in commercial applications. To address this, we have conducted a series of experiments using substrate-free graphene field-effect transistors (SF-GFETs) and oxide-supported graphene field-effect transistors (OS-GFETs) to elucidate the graphene-electrolyte interfacial arrangement and corresponding capacitance under different surface potential states and ionic concentration environments.

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Monoclonal antibodies enhance innate immunity, while bispecific T cell engager antibodies redirect adaptive T cell immunity. To stimulate both innate and adaptive mechanisms, we created a bifunctional eCD16A/anti-CD3-BFP adapter protein for combined use with clinically approved monoclonal IgG1 antibodies. The adaptor protein contains the extracellular domain of the human CD16A high-affinity variant, which binds the Fc domain of IgG1 antibodies, and an anti-human CD3 single-chain variable fragment that redirects T cell cytotoxicity.

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Purpose: Cardiac computed tomography angiography (CCTA) has significantly advanced the visualization of cardiac structures, particularly valves. We assessed the diagnostic performance of CCTA in diagnosing the most common disorders affecting the aortic valves requiring surgery-papillary fibroelastoma, infective endocarditis, and degeneration.

Methods: This retrospective study included patients who underwent aortic valve resection between 2016 and 2023 and had a preceding CCTA.

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In the maritime environment, the instance segmentation of small ships is crucial. Small ships are characterized by their limited appearance, smaller size, and ships in distant locations in marine scenes. However, existing instance segmentation algorithms do not detect and segment them, resulting in inaccurate ship segmentation.

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This review examines recent advances in surface-enhanced Raman spectroscopy (SERS) for urinary metabolite analysis, focusing on the development and application of noble metal nanohybrids. We explore the diverse range of hybrid materials, including carbon-based, metal-organic-framework (MOF), silicon-based, semiconductor, and polymer-based systems, which have significantly improved SERS performance for detecting key urinary biomarkers. The principles underlying SERS enhancement in these nanohybrids are discussed, elucidating both electromagnetic and chemical enhancement mechanisms.

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Background: Anemia is a prevalent comorbidity in COPD associated with increased morbidity. However, the significance of longitudinal anemia status and variation in anemia status trends over time in COPD are not known. Furthermore, individuals with COPD and smoking history often have multiple comorbidities, in particular cardiovascular disease.

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  • This study investigates the use of serum inflammatory markers as prognostic indicators for survival in patients with metastatic urothelial carcinoma (mUC) receiving immune checkpoint inhibitors (ICIs).
  • Data from two medical centers in Taiwan were analyzed, focusing on markers like neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), to assess their impact on overall and progression-free survival.
  • The findings suggest that specific inflammatory markers, along with other clinical factors, can effectively predict patient outcomes, emphasizing the need for reliable prognostic tools in mUC treatment.
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  • Artificial intelligence (AI) is increasingly important to radiologists for aiding in disease detection and impacting their professional roles.
  • Radiology educators must create curricula that equip residents to effectively use AI tools while ensuring they gain necessary knowledge and skills for their practice.
  • Residency programs should explore collaboration and seek national support to develop comprehensive AI educational resources.
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Prescriptive BW charts can facilitate discrimination between normal and abnormal birthweight. This study aimed to develop a prescriptive BW chart specific to Asian populations and assess its utility in predicting infant mortality. A retrospective cohort study was conducted using data from Taiwan National Health Insurance Research Database and National Birth Reporting Database.

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Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists and other physicians in AI-assisted radiologic diagnostic decision-making. Purpose To test whether the type of AI explanation and the correctness and confidence level of AI advice impact physician diagnostic performance, perception of AI advice usefulness, and trust in AI advice for chest radiograph diagnosis. Materials and Methods A multicenter, prospective randomized study was conducted from April 2022 to September 2022.

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  • Ovarian clear cell carcinoma (OCCC) is more common in East Asian women and has worse outcomes compared to high-grade serous carcinoma (HGSC), partly due to resistance to chemotherapy.
  • Whole-exome sequencing of 102 OCCC samples revealed frequent mutations in ARID1A (67%) and PIK3CA (49%), with 40% of cases showing clinically actionable targets like BRCA2 and PIK3CA.
  • Clonal evolution studies indicated that early driving mutations in tumor development include ARID1A, PIK3CA, TERT, KRAS, and TP53, while specific mutations in the TERT gene were linked to poorer prognosis.
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Purpose Of Review: This review aims to evaluate the current psychiatric applications and limitations of machine learning (ML), defined as techniques used to train algorithms to improve performance at a task based on data. The review emphasizes the clinician's role in ensuring equitable and effective patient care and seeks to inform mental health providers about the importance of clinician involvement in these technologies.

Recent Findings: ML in psychiatry has advanced through electronic health record integration, disease phenotyping, and remote monitoring through mobile applications.

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Simultaneous monitoring of key metabolites like dopamine, ascorbic acid, and uric acid is essential for early disease diagnosis and evaluating treatment. Electrochemical techniques are increasingly used for precise, point-of-care testing (POCT) of these metabolites. Herein, a sample pretreatment method called effervescent solid-phase extraction (ESPE) was proposed for efficient enrichment of trace analytes for electrochemical detection.

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Background: Klebsiella pneumoniae is a Gram-negative bacterium that can cause infections, especially in individuals with diabetes. Recently, more hypervirulent strains have emerged, posing a threat even to healthy individuals. Understanding how K.

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Owing to the extensive use of antibiotics for treating infectious diseases in livestock and humans, the resulting residual antibiotics are a burden to the ecosystem and human health. Hence, for human health and ecological safety, it is critical to determine the residual antibiotics with accuracy and convenience. Graphene-based electrochemical sensors are an effective tool to detect residual antibiotics owing to their advantages, such as, high sensitivity, simplicity, and time efficiency.

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In this study, an economic and controllable Marangoni self-assembly approach is designed to prepare the heterostructured nanocoatings (8-28 nm) consisting of alternately stacked mosaic nanosheets of hexagonal boron nitride (h-BN) and graphene. The resulting 2D nanocoatings exhibit a combination of advantageous properties, such as prevention of interfacial reactions, robust interfacial binding, a labyrinthine barrier effect, inhibition of galvanic corrosion, and alleviation of internal stress. The protective property of graphene/h-BN heterostructured nanocoatings is studied through potentiodynamic polarization curves and electrochemical impedance spectroscopy, with the theoretical support of first-principles calculations.

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Background And Objective: Based on comprehensive network-pharmacology and molecular docking analysis, this study was intended to unveil the multiple mechanisms of Si-Ni-San (SNS) in treating anxious insomnia.

Methods: The compounds of SNS were meticulously analyzed, selected and standardized with references to their pharmacological attributes. The components included chaihu (Bupleurum chinense DC.

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Article Synopsis
  • Methanol can be produced from CO or methane, making it a key player in addressing climate change through a methanol economy.
  • Researchers developed a new strain of E. coli that grows rapidly, with a doubling time of 3.5 hours, which is competitive with other methylotrophs.
  • The study highlights the use of dynamic copy number variation (CNV) in creating synthetic microorganisms and points to their potential for sustainable biotechnological advancements.
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Background: Patients, families, and clinicians increasingly communicate through patient portals. Due to potential for multiple authors, clinicians need to know who is communicating with them. OurNotes is a portal-based pre-visit agenda setting questionnaire.

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