Publications by authors named "Qiu T"

Background: This study aimed to develop a simple predictive model for early identification of the risk of adverse outcomes in kidney transplant-associated pneumonia (PCP) patients.

Methods: This study encompassed 103 patients diagnosed with PCP, who received treatment at our hospital between 2018 and 2023. Among these participants, 20 were categorized as suffering from severe PCP, and, regrettably, 13 among them succumbed.

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Metasurfaces have exhibited unprecedented degree of freedom in manipulating electromagnetic (EM) waves and thus provide fantastic front-end interfaces for smart systems. Here we show a framework for perception enhancement based on vision-driven metasurface. Human's eye movements are matched with microwave radiations to extend the humans' perception spectrum.

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We aimed to investigate the effect of cerebral small vessel disease (SVD) on cholinergic system integrity in mild cognitive impairment (MCI) patients. Nucleus basalis of Meynert (NBM) volume and cholinergic pathways integrity was evaluated at baseline, 1-, 2-, and 4-year follow-ups in 40 cognitively unimpaired (CU) participants, 29 MCI patients without SVD, and 23 MCI patients with SVD. We compared cholinergic markers among three groups and examined their associations with SVD burden in MCI patients.

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Article Synopsis
  • Cobblestone esophagus is a rare condition often linked to eosinophilic esophagitis or drug-induced damage, and in this case study, it was found in a 67-year-old woman without gastrointestinal symptoms after using alendronate for osteoporosis.
  • An initial non-invasive barium meal test revealed the cobblestone appearance, and further examination showed no ulcers or significant pathology, leading to the conclusion that the condition was due to bisphosphonate use.
  • After stopping alendronate, the patient showed notable improvement in subsequent barium meals, emphasizing the need to consider medication history in asymptomatic patients presenting with cobblestone esophagus.
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Random guessing behaviors are frequently observed in low-stakes assessments, often attributed to factors such as test-takers lacking motivation or experiencing time constraints and fatigue. Existing research suggests that responses stemming from random guessing behaviors introduce biases into the constructs and relationships of interest. This is particularly problematic when estimating the relationship between speed and ability.

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  • Bacteriophages show promise for treating bacterial infections, but current models struggle to predict their interactions with diverse bacterial strains due to limitations in predicting at the species level.
  • The paper introduces PB-LKS, a new method using a local K-mer strategy that improves prediction accuracy and broadens the applicability of phage-bacteria relationship predictions.
  • PB-LKS is validated through extensive screening, case studies, and simulations, demonstrating its potential to enhance phage therapy design and outperform existing methods.
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The current SARS-CoV-2 variants strikingly evade all authorized monoclonal antibodies and threaten the efficacy of serum-neutralizing activity elicited by vaccination or prior infection, urging the need to develop antivirals against SARS-CoV-2 and related sarbecoviruses. Here, we identified both potent and broadly neutralizing antibodies from a five-dose vaccinated donor who exhibited cross-reactive serum-neutralizing activity against diverse coronaviruses. Through single B-cell sorting and sequencing followed by a tailor-made computational pipeline, we successfully selected 86 antibodies with potential cross-neutralizing ability from 684 antibody sequences.

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Arsenic (As) and cadmium (Cd) are two toxic metal(loid)s that pose significant risks to food security and human health. Silicon (Si) has attracted substantial attention because of its positive effects on alleviating the toxicity and accumulation of As and Cd in crops. However, our current knowledge of the comprehensive effects and detailed mechanisms of Si amendment is limited.

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Colorectal cancer (CRC) is a global health challenge, and patient education plays a crucial role in its early detection and treatment. Despite progress in AI technology, as exemplified by transformer-like models such as ChatGPT, there remains a lack of in-depth understanding of their efficacy for medical purposes. We aimed to assess the proficiency of ChatGPT in the field of popular science, specifically in answering questions related to CRC diagnosis and treatment, using the book "Colorectal Cancer: Your Questions Answered" as a reference.

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  • Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive technique important for various fields like chemical sensing and bioanalysis, with the quality of SERS signals heavily relying on the design of substrates.
  • 2D transition metal dichalcogenides (2D TMDs) are emerging as optimal SERS substrates due to their advantages like stability, easy fabrication, and tunable properties, making them a focus of recent research.
  • The review discusses advancements in 2D TMDs SERS materials, including strategies for optimizing their performance, practical applications, and future challenges and opportunities for further development.
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Cytochrome P450 monooxygenases (P450s) belong to a family of metabolic enzymes that are involved in the detoxification of insecticides. In this study, our bioassay results showed that a field-collected population of displayed a moderate resistance to λ-cyhalothrin and imidacloprid. Compared to susceptible population, and were significantly overexpressed in the field population.

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The weak immunity of tumors after chemotherapy could cause tumor metastasis and progression. Therefore, to overcome the dilemma of obvious immune deficiency caused by chemotherapy, a nanosystem (N-IL-12/DOX/α-TOS) consisted of thioketal (TK) bonds linked-hollow mesoporous silica nanoparticles (HMSNs) coated with carboxymethyl chitin (CMCH) by electrostatic interaction, and surface-functionalized glucose-regulated protein 78 binding peptide was prepared for loading doxorubicin (DOX), IL-12 and α-tocopheryl succinate (α-TOS). N-IL-12/DOX/α-TOS displayed a mean size of 275 nm after encapsulated DOX, IL-12 and α-TOS with loading contents of 2.

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Polystyrene microplastics (MPs) are persistent environmental pollutants commonly encountered in daily human life. Numerous studies have demonstrated their ability to induce liver damage, including oxidative stress, inflammation, and lipid accumulation. However, limited information exists regarding preventive measures against this issue.

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Plasmon-induced oxidation has conventionally been attributed to the transfer of plasmonic hot holes. However, this theoretical framework encounters challenges in elucidating the latest experimental findings, such as enhanced catalytic efficiency under uncoupled irradiation conditions and superior oxidizability of silver nanoparticles. Herein, we employ liquid surface-enhanced Raman spectroscopy (SERS) as a real-time and tool to explore the oxidation mechanisms in plasmonic catalysis, taking the decarboxylation of -mercaptobenzoic acid (PMBA) as a case study.

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Background: Due to their crucial functional location, surgical treatment of brainstem arteriovenous malformations (AVMs) has always been challenging. For unruptured AVMs, we can determine whether radiological therapy, interventional treatment, or surgical resection is feasible based on the AVM structure. However, for ruptured AVMs, microsurgical resection and interventional embolization are effective methods to prevent further rupture.

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This Letter reports the observation of WZγ production and a measurement of its cross section using 140.1±1.2  fb^{-1} of proton-proton collision data recorded at a center-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider.

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The first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018.

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School bullying among primary and secondary school students has received increasing attention, and identifying relevant factors is a crucial way to reduce the risk of bullying victimization. Machine learning methods can help researchers predict and identify individual risk behaviors. Through a machine learning approach (i.

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Microplastics (MPs) and heavy metals (HMs) in soil contamination are considered an emerging global problem that poses environmental and health risks. However, their interaction and potential biological effects remain unclear. Here, we reviewed the interaction of MPs with HMs in soil, including its mechanisms, influencing factors and biological effects.

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Post-transplant anemia is one of the most common complications in kidney transplant recipients, severely affecting patient prognosis and quality of life, and is an independent predictor of graft kidney loss and patient mortality. However, our clinical understanding and the attention given to post-transplant anemia are currently insufficient. This paper reviews the current status, risk factors, and therapeutic progress in anemia after transplantation in kidney transplant recipients.

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Article Synopsis
  • Breast cancer is the most common type of cancer, and intraoperative frozen sections help determine if lymph node dissection is needed during surgery.
  • A deep-learning network called the RRCART model was proposed to identify metastases in frozen sections, analyzing 2362 samples to find and categorize errors.
  • The study found 101 incorrect identifications, with the highest error rates linked to normal lymph node structure and micrometastasis, leading to a framework that addresses causes of inaccuracies in the artificial intelligence model.
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Per- and polyfluoroalkyl substances (PFAS) are a class of organic compounds that have attracted global attention for their persistence in the environment, exposure to biological organisms, and their adverse health effects. There is an urgent need to develop analytical methodologies for the characterization of PFAS in various sample matrices. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) represents a chromatography-free MS method that performs laser-based ionization and in situ analysis on samples.

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alterations, including exon 14 skipping variants, amplification, overexpression, and fusion, play pivotal roles in primary tumorigenesis and acquired resistance to targeted therapies, especially tyrosine kinase inhibitors. They represent important diagnostic, prognostic, and predictive biomarkers in many solid tumor types. However, the detection of alterations is challenging due to the complexity of alterations and the diversity of platform technologies.

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Image stitching aims to synthesize a wider and more informative whole image, which has been widely used in various fields. This study focuses on improving the accuracy of image mosaic and proposes an image mosaic method based on local edge contour matching constraints. Because the accuracy and quantity of feature matching have a direct influence on the stitching result, it often leads to wrong image warpage model estimation when feature points are difficult to detect and match errors are easy to occur.

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Indolent lymphoma, including chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) and follicular lymphoma (FL), can undergo histological transformation into an aggressive subtype, typically diffuse large B-cell lymphoma (DLBCL). The prognosis of transformed lymphoma is poor. In this study, we reported the efficacy and toxicity of a combination of venetoclax, dose-adjusted rituximab or obinutuzumab, etoposide, prednisone, vincristine, doxorubicin, and cyclophosphamide (VR-DA-EPOCH or VG-DA-EPOCH) in 11 patients with biopsy-proven histology transformation into DLBCL, including 8 patients with RT and 3 with transformed FL (tFL).

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