Effect of shared decision-making model on the management of diabetes high-risk groups.

Objective: A shared decision-making (SDM) model-based intervention programme was implemented for a population at high risk for diabetes to explore its effectiveness in intervening with blood glucose levels in this population.

Methods: One hundred residents were selected according to the principle of voluntary participation and divided into the intervention group (n = 50) and the control group (n = 50) by using multistage cluster sampling. The control group received only brief diabetes knowledge education through a disease brochure issued by the hospital; the intervention group implemented a SDM model based on large classroom and individualised education for 4 months.

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation.

Accurately segmenting tubular structures, such as blood vessels or nerves, holds significant clinical implications across various medical applications. However, existing methods often exhibit limitations in achieving satisfactory topological performance, particularly in terms of preserving connectivity. To address this challenge, we propose a novel deep-learning approach, termed Deep Closing, inspired by the well-established classic closing operation.

Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation.

Segmentation of bladder tumors from medical radiographic images is of great significance for early detection, diagnosis and prognosis evaluation of bladder cancer. Deep Convolution Neural Networks (DCNNs) have been successfully used for bladder tumor segmentation, but the segmentation based on DCNN is data-hungry for model training and ignores clinical knowledge. From the clinical view, bladder tumors originate from the mucosal surface of bladder and must rely on the bladder wall to survive and grow.

EtOSK as a C1 Source: Solvent- and Temperature-Controlled Selective Synthesis of Quinoline-2-thione and Quinoline-2-one Derivatives.

Herein, we disclosed a highly chemoselective synthesis of quinoline-2-one and quinoline-2-thione derivatives using EtOSK as the C1 source. Quinoline-2-one derivatives were synthesized selectively with NaCl as a catalyst in the solvent DMSO/HO, while quinoline-2-thione derivatives were produced without the need for any catalyst in an environmentally friendly solvent EtOH/HO. The reaction conditions were mild and had good functional group tolerance.

National Experiences and Trust in China's National Government Among Hong Kong Chinese Youth.

Trust in the national central government is particularly imperative for promotion in outlying regions, such as by enhancing their residents' national cultural and territorial experiences. The contributions of such experiences, albeit grounded on contact and cultural theories, require empirical investigation. Such investigation engaged a survey of 2277 Chinese youths aged 18-29 years in Hong Kong, an outlying region returning to China's sovereignty.

Total Synthesis of (+)-Isolysergol.

The enantioselective synthesis of (+)-isolysergol was completed in 18 steps, and an overall yield of 11% was obtained from (2)-(+)-phenyloxirane as a chiral pool. Key features of the synthesis include a stereoselective intramolecular 1,3-dipolar addition of nitrone with terminal olefin and a Cope elimination to furnish the D ring. A rhodium-catalyzed intramolecular [3 + 2] annulation of a benzene ring with α-imino carbenoid was designed to afford the 3,4-fused indole scaffold at the late stage of the synthesis.

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning.

Graph-based clustering approaches, especially the family of spectral clustering, have been widely used in machine learning areas. The alternatives usually engage a similarity matrix that is constructed in advance or learned from a probabilistic perspective. However, unreasonable similarity matrix construction inevitably leads to performance degradation, and the sum-to-one probability constraints may make the approaches sensitive to noisy scenarios.

The effect of maternal empathy on infants' attachment security: Moderation by maternal emotion regulation and infant temperament.

This study examined the relationship between maternal empathy and infants' attachment security and tested the moderating effects of maternal emotion regulation and infant negative emotional temperament. Participants were sampled from 215 families whose infants were 6 months old (T1) and from 170 families of the same cohort whose infants were 14 months old (T2). At T1, mothers were measured for their empathy (empathic concern and perspective taking), emotion regulation (reappraisal and suppression), and infant negative emotional temperament (sadness, falling reactivity, fear, and distress to limitations).

PENet: Prior evidence deep neural network for bladder cancer staging.

Bladder cancer is a heterogeneous, complicated, and widespread illness with high rates of morbidity, death, and expense if not treated adequately. The accurate and exact stage of bladder cancer is fundamental for treatment choices and prognostic forecasts, as indicated by convincing evidence from randomized trials. The extraordinary capability of Deep Convolutional Neural Networks (DCNNs) to extract features is one of the primary advantages offered by these types of networks.

The effects of social anxiety on recognition memory for social threat words: An ERP study.

In this study, the effect of social anxiety on item recognition memory was examined by adopting a study-test paradigm. Participants with high and low social anxiety (31 HSA vs. 30 LSA) memorized neutral target and threat target (NT vs.

Expectations of immediate and delayed reward differentially affect cognitive task performance.

The current study used a modified Monetary Incentive Delay task to examine the neural mechanisms underlying anticipating and receiving an immediate or delayed reward and examined the influence of pursuing these rewards on cognitive task performance. A pre-cue indicating the potential of gaining a monetary reward (immediate-, delayed-, vs. no-reward) was followed by a target stimulus requiring a fast and accurate response.

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory.

Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an uncertainty of source domain data with respect to the target domain task. Ignoring the uncertainty may lead to models with unreliable and suboptimal classification results for the target domain task.

Transperineal Parallel Biopsy of the Prostate: A New Approach of Tissue Sampling for Precision Medicine.

Purpose: Through an observational study to present a new approach for obtaining high-quality samples for the targeted therapy of prostate cancer.

Patients And Methods: Parallel biopsy, which was defined as collecting the tissue from the same site by two biopsies, was performed on patients with elevated PSA. Each tissue was stained by ink to identify the pathological characteristics, including Gleason score and tumor tissue ratio.

The role of beauty as currency belief in acceptance of cosmetic surgery and career aspirations among Chinese young women.

The current study tested the "beauty as currency" hypothesis in the framework of Objectification theory with a sample of Chinese young women. Four hundred and four college women completed a pencil-and-paper questionnaire. We hypothesized that beauty as currency would be associated with acceptance of cosmetic surgery and career aspirations through the serial meditation of self-objectification and body surveillance.

CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor.

Rationale And Objectives: Tumor grading of nonfunctional pancreatic neuroendocrine tumors (NF-pNETs) determines the choice of clinical treatment and management. The pathological grade of pancreatic neuroendocrine tumors is usually assessed on postoperative specimens. The goal of our study is to establish a tumor grade (G) prediction model for preoperative G1/2 NF-pNETs using radiomics for multislice spiral CT image analysis.

Deep pancreas segmentation with uncertain regions of shadowed sets.

Pancreas segmentation is a challenging task in medical image analysis especially for the patients with pancreatic cancer. First, the images often have poor contrast and blurred boundaries. Second, there exist large variations in gray scale, texture, location, shape and size among pancreas images.

Humour processing deficits in individuals with social anhedonia.

Humour processing comprises the humour comprehension and the humour appreciation phases. Patients with schizophrenia have impaired humour processing. However, it is unclear whether such deficits affect subclinical populations such as individuals with social anhedonia.

Motivation deficits in individuals with social anhedonia.

Patients with schizophrenia have been reported to exhibit anhedonia, a reduced hedonic capacity and deficits in motivation for reward pursuit. However, it is unclear whether these deficits also exist in at-risk individuals prone to psychosis or not. The present study compared 26 individuals with social anhedonia and 28 healthy controls using a grip Effort-based Pleasure Experience Task (E-PET).

Functional Region Annotation of Liver CT Image Based on Vascular Tree.

Anatomical analysis of liver region is critical in diagnosis and treatment of liver diseases. The reports of liver region annotation are helpful for doctors to precisely evaluate liver system. One of the challenging issues is to annotate the functional regions of liver through analyzing Computed Tomography (CT) images.

To Be or Not To Be Humorous? Cross Cultural Perspectives on Humor.

Humor seems to manifest differently in Western and Eastern cultures, although little is known about how culture shapes humor perceptions. The authors suggest that Westerners regard humor as a common and positive disposition; the Chinese regard humor as a special disposition particular to humorists, with controversial aspects. In Study 1, Hong Kong participants primed with Western culture evaluate humor more positively than they do when primed with Chinese culture.

In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

Gamma-aminobutyric acid type-A receptors (GABAARs) belong to multisubunit membrane spanning ligand-gated ion channels (LGICs) which act as the principal mediators of rapid inhibitory synaptic transmission in the human brain. Therefore, the category prediction of GABAARs just from the protein amino acid sequence would be very helpful for the recognition and research of novel receptors. Based on the proteins' physicochemical properties, amino acids composition and position, a GABAAR classifier was first constructed using a 188-dimensional (188D) algorithm at 90% cd-hit identity and compared with pseudo-amino acid composition (PseAAC) and ProtrWeb web-based algorithms for human GABAAR proteins.

Effects of environmental stress on the depression-like behaviors and the diurnal rhythm of corticosterone and melatonin in male rats.

Environmental stress (ES) is commonly used in producing chronic unpredictable mild stress to study pathogenesis of depression, including the regulatory role of circadian system on depression. However, the direct effect of ES on the circadian system has been rarely explored. The present study was aimed to investigate the effect of ES on depression-like behaviors and diurnal rhythm of plasma hormone/peptide levels in male rats.

Short photoperiod condition increases susceptibility to stress in adolescent male rats.

The seasonality of depressive symptoms is prevalent in children and adolescents. However, the mechanisms that underlie such susceptibility to seasonal influences on mood disorders are unclear. We examined the effects of a short photoperiod condition on the susceptibility to subchronic unpredictable mild stress (SCUS) and rhythmic alterations of plasma corticosterone (CORT), melatonin, and neuropeptide Y (NPY) in adolescent male rats.