Publications by authors named "Xiao-Lin Qin"

Objectives: This study aimed to investigate the molecular characteristics of predominant epidemic clusters of FC428-like N. gonorrhoeae in Guangdong, China in 2022.

Methods: Minimum inhibitory concentrations (MICs) were determined for N.

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Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis. Deep learning has increasingly been developed to assist in diagnosis and assessment, which can help improve clinical management and provide new ideas for clinical research. To support the development and testing of deep learning models for cervical spondylosis, we have publicly shared a multi-modal and multi-view imaging dataset of cervical spondylosis, named MMCSD.

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Background: Postoperative pain and psychological well-being in postpartum women following cesarean section are critical for optimal maternal recovery. Traditional analgesics often have limitations and side effects, prompting the need for alternative solutions. This study evaluates the impact of an esketamine intravenous analgesic pump on postoperative pain and psychological status in postpartum women following cesarean section.

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The prevalence of penicillinase-producing (PPNG) is a crucial public health concern because of its resistance to penicillin and cephalosporins. From 2013 to 2022, a total of 1748 isolates from Guangdong, China, were examined for their antibiotic susceptibility and molecular epidemiological characteristics. PPNG prevalence increased markedly from 37.

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Article Synopsis
  • Scientists made a special film using gallic acid, chitosan, and cellulose to protect food from bad bacteria and keep it fresh.
  • The film is really strong, can block harmful UV light, and helps stop water from getting through it.
  • When used for packaging oysters, this film kept them fresh longer and improved their safety by fighting off germs.
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Aim: To propose an algorithm for automatic detection of diabetic retinopathy (DR) lesions based on ultra-widefield scanning laser ophthalmoscopy (SLO).

Methods: The algorithm utilized the FasterRCNN (Faster Regions with CNN features)+ResNet50 (Residua Network 50)+FPN (Feature Pyramid Networks) method for detecting hemorrhagic spots, cotton wool spots, exudates, and microaneurysms in DR ultra-widefield SLO. Subimage segmentation combined with a deeper residual network FasterRCNN+ResNet50 was employed for feature extraction to enhance intelligent learning rate.

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The metabolic disorders caused by diabetes can lead to various complications, including male spermatogenesis dysfunction. Exploring effective therapeutics that attenuate diabetes mellitus (DM)-induced male subfertility is of great importance. Pharmaceuticals targeting PPARα activation such as bezafibrate have been regarded as an important strategy for patients with diabetes.

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Background: Dynamic prediction of patient mortality risk in the ICU with time series data is limited due to high dimensionality, uncertainty in sampling intervals, and other issues. A new deep learning method, temporal convolution network (TCN), makes it possible to deal with complex clinical time series data in ICU. We aimed to develop and validate it to predict mortality risk using time series data from MIMIC III dataset.

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Background: In the big wave of artificial intelligence sweeping the world, machine learning has made great achievements in healthcare in the past few years, however, these methods are only based on correlation, not causation. The particularities of the healthcare determines that the research method must comply with the causality norm, otherwise the wrong intervention measures may bring the patients a lifetime of misfortune.

Methods: We propose a two-stage prediction method (instance feature selection prediction and causal effect analysis) for instance disease prediction.

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Background: We aimed to evaluate the clinical performance of the GeneXpert (Xpert) CT/NG assay for the detection of (CT) and (NG) using urine and cervical swabs collected from patients in China.

Methods: This study was conducted from September 2016 to September 2018 in three Chinese urban hospitals. The results from the Xpert CT/NG test were compared to those from the Roche cobas 4800 CT/NG test.

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Background And Aims: Screening for hepatopulmonary syndrome in cirrhotic patients is limited due to the need to perform contrast enhanced echocardiography (CEE) and arterial blood gas (ABG) analysis. We aimed to develop a simple and quick method to screen for the presence of intrapulmonary vascular dilation (IPVD) using noninvasive and easily available variables with machine learning (ML) algorithms.

Methods: Cirrhotic patients were enrolled from our hospital.

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Background: Dynamic and precise estimation of blood loss (EBL) is quite important for perioperative management. To date, the Triton System, based on feature extraction technology (FET), has been applied to estimate intra-operative haemoglobin (Hb) loss but is unable to directly assess the amount of blood loss. We aimed to develop a method for the dynamic and precise EBL and estimate Hb loss (EHL) based on artificial intelligence (AI).

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Article Synopsis
  • Antimicrobial resistance (AMR) is a significant public health issue, particularly in China, where there's a need for improved surveillance programs due to limitations in current testing methods like traditional agar dilution (AD).
  • A Chinese research team developed a modified microdilution (MD) method for antimicrobial susceptibility testing (AST) and compared its effectiveness to the AD method using 166 clinical isolates tested against several antibiotics.
  • The findings showed that the MD method achieved high rates of essential and category agreement with manual readings and could effectively differentiate resistant strains, although its overall performance still needs improvements for reliable clinical use.
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Objectives: The aim of the study is to identify ceftriaxone resistance-related genes in Neisseria gonorrhoeae.

Methods: Differences in gene expression were compared between ceftriaxone-susceptible N. gonorrhoeae isolates [minimum inhibitory concentration (MIC)=0.

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The asymmetric unit of the title compound, {[Cu2(C6H2O5)2(C12H8N2)2(H2O)3]·C3H7NO} n , contains two Cu(II) atoms, two furan-2,5-dicarboxyl-ate (L) ligands, two 1,10-phenanthroline (phen) ligands, three coordinating water mol-ecules and one N,N-dimethyl-formamide solvent mol-ecule. Each Cu(II) atom is coordinated by two N atoms from one phen ligand, two O atoms from two L ligands and two water mol-ecules in a distorted octa-hedral geometry. The main difference between the environments of the two independent Cu atoms is in the Cu-Owater distances, which are 2.

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In the title hydrated coordination polymer, {[Zn(C6H2O5)(C10H8N2)(H2O)]·2H2O} n , an infinite [1-10] chain is formed by the linking of [Zn(C10H8N2)(H2O)](2+) entities by bridging, monodentate furan-2,5-dicarboxyl-ate dianionic linkers. The Zn(2+) coordination geometry is a trigonal bipyramid, with one N atom (from 2,2'-bipyridine) and one O atom (from the bridging dianion) in the axial positions. For each Zn(II) atom, the dihedral angle between the furan ring of its coordinated bridging ligand and its coordinated bipyridine ring system is 87.

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In the crystal structure of the title compound, {[Cu(C(6)H(2)O(5))(C(10)H(8)N(2))(H(2)O)]·2H(2)O}(n), an infinite chain parallel to [110] is formed by the linking of Cu(H(2)O)(2,2'-bipyridine) units through a furan-2,5-dicarboxyl-ate bridge. The Cu(II) atom shows a square-pyramidal geometry, with one furan-2,5-dicarboxyl-ate O atom in the apical position. The dihedral angle between the planes of the furan ring and the bipyridine mol-ecule is 83.

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The polymeric title compound, [Cu(C(6)H(2)O(5))(C(12)H(8)N(2))(C(5)H(10)N(2)O)](n), is composed of an infinite chain formed along [100] by linking the (1,3-dimethyl-imidazolin-2-one)(1,10-phenanthroline)copper(II) units with two O atoms of two carboxyl-ate groups of the furan-2,5-dicarboxyl-ate ligand. The Cu(II) atom, which lies on a twofold rotation axis, displays a square-pyramidal coordination. The dihedral angles of the 1,10-phenanthroline ligand with respect to the furan rings of the carboxyl-ate anions that are connected to the metal atom are 62.

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In the title coordination polymer, [Zn(C(6)H(2)O(5))(C(12)H(8)N(2))](n), an infinite chain is formed along [010] by linking the chelated {Zn(phen)} entities (phen is 1,10-phenanthroline) with two carboxyl-ate groups of the furan-2,5-dicarboxyl-ate ligand. The Zn(II) atom shows trigonal-prismatic coordination.

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In the title cooridnation polymer, {[Cu(C(6)H(2)O(5))(C(3)H(4)N(2))(2)(H(2)O)]·3H(2)O}(n), an infinite chain is formed along [001] by linking of the Cu(C(3)N(2)H(4))(2)(H(2)O) entities with two bridging monodentate carboxyl-ate groups of two different furan-2,5-dicarboxyl-ate dianions. The geometry of the Cu(2+) ion is a square-based pyramid with the water atom in the apical position and the ligand O and N atoms in a trans orientation. The dihedral angle between the imidazole planes is 83.

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In the crystal structure of the title compound, [Zn(C(6)H(2)O(5))(CH(3)OH)(2)(H(2)O)](n), an infinite chain is formed along the b axis by linking of the Zn(OH(2))(CH(3)OH)(2) unit with one carboxyl-ate group of the furan-2,5-dicarboxyl-ate ligand. The Zn(II) ion is in a distorted octa-hedral environment with one weak coordination [Zn-O(carboxyl-ate) = 2.565 (3) Å] and two meth-anol mol-ecules located in axial positions.

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In the crystal structure of the title compound, [Zn(C(6)H(2)O(5))(H(2)O)(3)](n), an infinite chain is formed along [001] by linking of the Zn(H(2)O)(3) entities with one carboxyl-ate group of the furan-2,5-dicarboxyl-ate ligand. Adjacent chains are linked by O(water)-H⋯O hydrogen-bonding inter-actions. The Zn(H(2)O)(3)O(3) polyhedron displays a distorted octa-hedral geometry with one weak Zn-O(carboxyl-ate) coordination [2.

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In the title compound, [Cu(C(6)H(2)O(5))(H(2)O)(3)](n), an infinite chain is formed along [001] by linking of the Cu(OH(2))(3)O(4) cluster with one carboxyl-ate group of the furan-2,5-dicarboxyl-ate ligand. Adjacent chains are linked by O(water)-H⋯O hydrogen-bonding inter-actions. The Cu(OH(2))(3)O(4) cluster displays a penta-gonal bipyrimadal geometry with two weak coordinations [Cu-O(furan) = 2.

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Aim: To construct the prokaryotic expression plasmid pGEX-4T-1-BZLF1N-BLRF2, and express it in Escherichia coli.

Methods: The EB virus BZLF1N gene and BLRF2 gene were amplified by RT-PCR respectively. Then, the two genes were linked by splicing overlap extension PCR method and inserted into the vector pGEX-4T-1, and the recombinant plasmid pGEX-4T-1-BZLF1N-BLRF2 was transformed into E.

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Aim: To investigate human soluble PD-1 (sPD-1) biological activity sPD-1 gene be cloned and expressed in eucaryote cells.

Methods: sPD-1 gene was amplified from human PBMC mRNA by RT-PCR and cloned into eucaryotic expression vector pSG5-Fc. And the positive recombinant plasmid pSG5-Fc -sPD-1 was screened by enzyme digestion and sequencing.

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