26 ± 0.067; range 0.19-0.44) (p 0.000). The optimal cut-off value of PR for GHD diagnosis was 0.27 (sensitivity 71% specificity 56%). There was a negative correlation between anterior pituitary height (APH)-SDS and PR (p 0.002; r -0.27). APH was increased, but PR remained unchanged in pubertal patients (p 0.089). Conclusions PR measurement is a noninvasive, practical method with a cost-benefit clinical value. As it is not affected by pubertal status, PR is potentially a more sensitive tool for evaluation of pituitary gland in GHD patients compared to APH.Background Cadmium serves as a major pollutant in the environment and it has been documented for its widespread harmful effects. This study sought to investigate the prophylactic and the curative effects of aqueous and methanolic leaf extracts of Polyalthia longifolia against cadmium-induced hepatotoxicity in rats. Methods Animals in group I served as the normal control and administered distilled water only for 14 days, group II was administered cadmium (4 mg/kg/body weight) for 7 days, groups III and IV rats served as the prophylactic group and were pre-treated with P. longifolia aqueous and methanolic leaf extract for 7 days and then exposed to cadmium for another 7 days, serving as pre-treatment group, groups V, VI, VII, and VIII served as curative groups and were first exposed to cadmium for 7 days and then post-treated with 100 and 200 mg/kg body weight of aqueous extract and 100 and 200 mg/kg body weight of methanolic extract P. longifolia for another 7 days. Results Pre- and post-treatment with both extracts of P. longifolia revealed a significant hepatoprotective ability by decreasing the alanine transaminase, alkaline phosphatase, aspartate transaminase, acid phosphatase, gamma glutamyl transferase enzymatic activities were elevated due to cadmium intoxication. Pre- and post-treatment with aqueous and methanolic extract of P. longifolia extract significantly decreased hepatic malondialdehyde levels, together with an improvement in the antioxidant status of superoxide dismutase, glutathione peroxidase, catalase, glutathione S-transferase, and reduced glutathione of rats exposed to cadmium. Histopathology examinations also confirm the above biochemical findings. Conclusion The findings from this work suggested that P. longifolia may be beneficial in ameliorating the cadmium-induced hepatotoxicity and oxidative stress in rats.Background The electronic health record sharing system (eHRSS) was implemented as a new health care delivery platform to facilitate two-way communication between the public and private sectors in Hong Kong. Objective This study aimed to investigate the perceptions of and factors associated with the adoption of eHRSS among patients, the general public, and private physicians. Methods Telephone interviews were conducted in 2018 by using a simple random sampling strategy from a list of patients who had enrolled in the eHRSS and a territory-wide telephone directory for nonenrolled residents. We completed 2000 surveys (1000 each for enrolled and nonenrolled individuals). Private physicians completed self-administered questionnaires, including 762 valid questionnaires from 454 enrolled physicians and 308 nonenrolled physicians. Results Most participants (707/1000, 70.70%) were satisfied with the overall performance of the eHRSS. Regarding registration status, most nonenrolled patients (647/1000, 64.70%) reported thbe effective to enhance the adoption of the eHRSS.Background Knowledge graph embedding is an effective semantic representation method for entities and relations in knowledge graphs. Several translation-based algorithms, including TransE, TransH, TransR, TransD, and TranSparse, have been proposed to learn effective embedding vectors from typical knowledge graphs in which the relations between head and tail entities are deterministic. However, in medical knowledge graphs, the relations between head and tail entities are inherently probabilistic. This difference introduces a challenge in embedding medical knowledge graphs. Objective We aimed to address the challenge of how to learn the probability values of triplets into representation vectors by making enhancements to existing TransX (where X is E, H, R, D, or Sparse) algorithms, including the following (1) constructing a mapping function between the score value and the probability, and (2) introducing probability-based loss of triplets into the original margin-based loss function. https://www.selleckchem.com/products/h2dcfda.html Methods We performed the proposed PrTransX algorithm on a medical knowledge graph that we built from large-scale real-world electronic medical records data. We evaluated the embeddings using link prediction task. Results Compared with the corresponding TransX algorithms, the proposed PrTransX performed better than the TransX model in all evaluation indicators, achieving a higher proportion of corrected entities ranked in the top 10 and normalized discounted cumulative gain of the top 10 predicted tail entities, and lower mean rank. Conclusions The proposed PrTransX successfully incorporated the uncertainty of the knowledge triplets into the embedding vectors.Background Electronic health (eHealth) is a rapidly evolving field informed by multiple scientific disciplines. Because of this, the use of different terms and concepts to explain the same phenomena and lack of standardization in reporting interventions often leaves a gap that hinders knowledge accumulation. Interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies are a cross-disciplinary area potentially affected by this gap. A review of the underlying frameworks, models, and theories that have informed projects at this crossroad could advance future research and development efforts. Objective This research aimed to identify and compare underlying approaches that have informed interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies. The objective was to achieve an understanding of the distinct approaches by highlighting common or conflicting principles, guidelines, and methods.