Quality Of Life And Functioning Among Community-based Individuals Of Schizophrenia In Hong Kong

published_or_final_versio

我愛長腿叔叔 - 文字輔導對兒童成長的意義

postprin

Efficacy and safety of tacrolimus ointment monotherapy in Chinese patients with moderate to severe atopic dermatitis

published_or_final_versio

PEBP1 (phosphatidylethanolamine binding protein 1)

Review on PEBP1 (phosphatidylethanolamine binding protein 1), with data on DNA, on the protein encoded, and where the gene is implicated

Performance of large-size superconducting coil in 0.21T MRI system

A high-temperature superconductor (HTS) was used on magnetic resonance imaging (MRI) receiver coils to improve image quality because of its intrinsic low electrical resistivity [1], [2]. Typical HTS coils are surface coils made of HTS thin-film wafers. Their applications are severely limited by the field of view (FOV) of the surface coil configuration, and the improvement in image quality by HTS coil is also reduced as the ratio of sample noise to coil noise increases. Therefore, previous HTS coils are usually used to image small in vitro samples, small animals, or peripheral human anatomies [3]-[5]. We used large-size HTS coils (2.5-, 3.5-, and 5.5-in mean diameter) to enhance the FOV and we evaluated their performance through phantom and human MR images. Comparisons were made among HTS surface coils, copper surface coils, and cool copper surface coils in terms of the signal-to-noise ratio (SNR) and sensitivity profile of the images. A theoretical model prediction was also used to compare against the experimental result. We then selected several human body parts, including the wrist, feet, and head, to illustrate the advantage of HTS coil over copper coil when used in human imaging. The results show an SNR gain of 200% for 5.5-in HTS coil versus same size copper coils, while for 2.5- and 3.5-in coils it is 250%. We also address the various factors that affect the performance of large size HTS coils, including the coil-to-sample spacing due to cryogenic probe and the coil-loading effect.published_or_final_versio

An evaluative study on the effectiveness of a parent-child parallel group model

Objective; To examine the effectiveness of a parent-child parallel group model that attempted to reduce parent-adolescent conflict. Method: A single group research design with pretest, posttest, and follow-up assessments was employed. Results: Results showed that the level of mother-adolescent conflict at posttest was lower than the level at pretest. The findings, based on the target problem rating, indicated that after the group intervention, both the mothers and adolescents perceived that the problems they had identified in the mother-child relationship had become less severe. The findings, based on subjective outcome measures, were also positive. Conclusion: The present study provides some evidence to support the effectiveness of the parallel group intervention for social work practice.preprin

Preference of food saltiness and willingness to consume low-sodium content food in a Chinese population

OBJECTIVE: To compare the preference of food saltiness and the willingness to consume low‐sodium food among hypertensive older people, non‐hypertensive older people and non‐hypertensive young people in a Chinese population. DESIGN: A cross‐sectional study based on a quota sample. Three saltiness options (low‐sodium, medium-sodium and high‐sodium) of soup and bread were offered to each participant who rated the taste of each food on a 5‐point Likert scale. Then, the participants rated their willingness to consume the low-sodium content foods on a 5‐point Likert scale, given they were informed of the benefit of the low-sodium option. Generalised linear mixed model and multiple linear regression were used to analyse the data. SETTING: Elderly centres and community centres in Hong Kong. PARTICIPANTS: Sixty hypertensive older people, 49 non‐hypertensive older people and 60 non-hypertensive young people were recruited from June to August 2014. Measurements: The tastiness score and the willingness score were the primary outcome measures. The Chinese Health Literacy Scale for Low Salt Consumption – Hong Kong population (CHLSalt‐HK) was also assessed. RESULTS: The tastiness rating of the high‐sodium option of soup was significantly lower than the medium‐sodium option (p<0.001), but there was no significant difference between the low‐sodium and the medium‐sodium options (p=0.204). For bread, tastiness rating of the low‐sodium option and the high‐sodium option were significantly lower than the medium‐sodium option (p<0.001 for both options). The tastiness score of soup did not have significant difference across the groups (p=0.181), but that of bread from the hypertensive older adults (p=0.012) and the non‐hypertensive older adults (p=0.006) was significantly higher than the non‐hypertensive young adults. Higher willingness rating to consume the low‐sodium option was significantly (p<0.001) associated with higher tastiness rating of the low-sodium option of soup and bread, and weakly associated with higher health literacy of low salt intake (soup: p=0.041; bread: p=0.024). Hypertensive older adults tended to be more willing to consume the low‐sodium option than non‐hypertensive older adults for soup (p=0.009), there was insignificant difference between non‐hypertensive older adults and non‐hypertensive young adults (p=0.156). For bread, there was insignificant difference in willingness rating to consume low‐sodium option (p=0.375). CONCLUSION: Older people are at a higher risk of hypertension, reduction of salt intake is important for them to reduce their risk of cardiovascular diseases. There is room for reducing the sodium content of soup, while the sodium in bread should be reduced progressively. Improving the taste of low‐sodium food may help to promote reduction in dietary sodium intake.postprin

UNCLES: Method for the identification of genes differentially consistently co-expressed in a specific subset of datasets

Background: Collective analysis of the increasingly emerging gene expression datasets are required. The recently proposed binarisation of consensus partition matrices (Bi-CoPaM) method can combine clustering results from multiple datasets to identify the subsets of genes which are consistently co-expressed in all of the provided datasets in a tuneable manner. However, results validation and parameter setting are issues that complicate the design of such methods. Moreover, although it is a common practice to test methods by application to synthetic datasets, the mathematical models used to synthesise such datasets are usually based on approximations which may not always be sufficiently representative of real datasets. Results: Here, we propose an unsupervised method for the unification of clustering results from multiple datasets using external specifications (UNCLES). This method has the ability to identify the subsets of genes consistently co-expressed in a subset of datasets while being poorly co-expressed in another subset of datasets, and to identify the subsets of genes consistently co-expressed in all given datasets. We also propose the M-N scatter plots validation technique and adopt it to set the parameters of UNCLES, such as the number of clusters, automatically. Additionally, we propose an approach for the synthesis of gene expression datasets using real data profiles in a way which combines the ground-truth-knowledge of synthetic data and the realistic expression values of real data, and therefore overcomes the problem of faithfulness of synthetic expression data modelling. By application to those datasets, we validate UNCLES while comparing it with other conventional clustering methods, and of particular relevance, biclustering methods. We further validate UNCLES by application to a set of 14 real genome-wide yeast datasets as it produces focused clusters that conform well to known biological facts. Furthermore, in-silico-based hypotheses regarding the function of a few previously unknown genes in those focused clusters are drawn. Conclusions: The UNCLES method, the M-N scatter plots technique, and the expression data synthesis approach will have wide application for the comprehensive analysis of genomic and other sources of multiple complex biological datasets. Moreover, the derived in-silico-based biological hypotheses represent subjects for future functional studies.The National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme (Grant Reference Number RP-PG-0310-1004)

De novo large rare copy-number variations contribute to conotruncal heart disease in Chinese patients

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