Analysis of Online Recruitment Intention Among 543 Hospitals: A Comprehensive Investigation of Influencing Factors and Current Situation.

Objective: The primary objective of this study was to investigate the current state of online recruitment intention among hospitals and identify its key influencing factors. This research aims to provide valuable insights that can guide the development of recruitment and employment strategies for hospital departments and student management. Methods: This study employed a cross-sectional survey approach involving 543 hospitals. Data collection utilized both convenient offline recruitment methods and online recruitment information platforms. A total of 543 questionnaires were distributed, resulting in the collection of 543 valid responses. The participating hospitals comprised 225 tertiary hospitals and 318 secondary hospitals. Additionally, the sample included 430 general hospitals, 113 psychiatric hospitals, dental hospitals, and 406 specialized hospitals. Geographically, 137 hospitals were located in urban counties or towns. Furthermore, 333 hospitals targeted undergraduate graduates, while 210 focused on graduate students. Results: The analysis of the data revealed several significant findings. Among the included hospitals in the sample, 19.71% expressed online recruitment intention for candidates with neurasthenia. Factors contributing to a higher online recruitment intention among hospitals included a preference for recruiting undergraduates (P = .011), the belief that online recruitment is suitable for clinical positions (P = .002), challenges in assessing candidates' expertise online (P = .002), concerns about dishonesty in online recruitment (P = .028), and the perception that online recruitment requires less technical expertise for hospitals (P < .001). Conclusions: This study highlights the multifaceted nature of online recruitment intention within hospitals. The identified influential factors emphasize the need for customized strategies in recruitment and employment. Medical university recruitment and employment departments should adopt tailored measures that align with the unique dynamics of online recruitment to address these factors effectively. In this way, hospitals can enhance their recruitment processes and ensure the selection of candidates that meet their specific requirements.

Altered resting-state functional organization within the central executive network in obsessive-compulsive disorder.

AIM: Obsessive-compulsive disorder (OCD) is associated with deficits in response inhibition and planning, which are governed by the central executive network. The objective of this study was to investigate both intra- and inter-regional resting-state connectivity within the central executive network in OCD. METHODS: Thirty OCD patients and 30 matched healthy controls were scanned using resting-state functional magnetic resonance imaging. The independent component analysis was used on a separate sample of healthy controls to generate the central executive network mask for the subsequent OCD analyses. Regional homogeneity (ReHo) and seed-based functional connectivity analyses were used to explore the differences between intra- and inter-regional synchronized activity within the central executive network in OCD patients at rest. RESULTS: Increased ReHo and functional connectivity in the key regions of the central executive network, such as the orbitofrontal cortex, dorsolateral prefrontal cortex, and the angular gyrus, were found in OCD patients. Furthermore, changes in both the ReHo within the orbitofrontal cortex and the functional connectivity between the orbitofrontal cortex and angular gyrus were negatively correlated with OCD duration. CONCLUSION: The increased resting-state functional organization within the central executive network may be related to OCD patients' deficits in cognitive control and symptom progression.

[Genome-wide association studies on the developmental dyslexia children].

OBJECTIVE: To find out the potential polymorphisms of gene with developmental dyslexia children. METHODS: From January 2010 to December 2013, 121 cases children with developmental dyslexia and 117 cases health children as the control were enrolled into the study. The potential polymorphisms of gene were found by case-control study strategies based on the Affymetrix Genome-Wide SNP 6. 0 microarray and pathway analysis. RESULTS: Genotypes and allele frequencies of rs331142 and rs12495133 from DYX1C1 gene, rs11629841 and rs3743205 from ROBOl gene between cases and control groups were significantly different (P < 0. 05). CONCLUSION: Polymorphism of rs331142 and rs12495133 from DYX1C1 gene, rs11629841 and rs3743205 from ROB01 gene may associate with developmental dyslexia children.