Vocational training in family medicine: A qualitative study of perspectives of trainers in community-based training

Objective: To investigate how trainers perceived the vocational training programme in family medicine in Hong Kong. Design: Structured discussion with trainers who had trainees in the community-based segment of the vocational training programme of the Hong Kong College of Family Physicians. Subjects: Forty seven eligible trainers were identified and invited to attend the discussion. Thirteen trainers participated in two structured discussions. Main outcome measures: The opinions expressed by the participants towards the vocational training programme. Results: The response rate was 27.7%. The trainers were clear about their roles but saw an overlap between their functions and those of the trainees' supervisors. They were unsure on what to teach and how to teach, and looked for guidance from the Hong Kong College of Family Physicians. They felt that there should be more varied training methods, more resources at training centres, better training arrangements and more coordination among training stakeholders. Some trainers experienced difficulties with their trainees. All trainers saw the benefit of an annual trainers workshop. Conclusion: It is recommended that the College provides better organisation for and training of trainers. A trainers co-ordinator, a trainers handbook and an annual trainers workshop are some suggestions.published_or_final_versio

Practical divergent synthesis of all possible regioisomers of myo-inositol trisphosphates

open119sciescopu

Using probe electrospray ionization mass spectrometry and machine learning for detecting pancreatic cancer with high performance

A rapid blood-based diagnostic modality to detect pancreatic ductal adenocarcinoma (PDAC) with high accuracy is an unmet medical need. The study aimed to validate a unique diagnosis system using Probe Electrospray Ionization Mass Spectrometry (PESI-MS) and Machine Learning to the diagnosis of PDAC. Peripheral blood samples were collected from a total of 322 consecutive PDAC patients and 265 controls with a family history of PDAC. Five µl of serum samples were analyzed using PESI-MS system. The mass spectra from each specimen were then fed into machine learning algorithms to discriminate between control and cancer cases. A total of 587 serum samples were analyzed. The sensitivity of the machine learning algorithm using PESI-MS profiles to identify PDAC is 90.8% with specificity of 91.7% (95% CI 83.9%-97.4% and 82.8%-97.7% respectively). Combined PESI-MS profiles with age and CA19-9 as predictors, the accuracy for stage 1 or 2 of PDAC is 92.9% and for stage 3 or 4 is 93% (95% CI 86.3-98.2; 87.9-97.4 respectively). The accuracy and simplicity of the PESI-MS profiles combined with machine learning provide an opportunity to detect PDAC at an early stage and must be applicable to the examination of at-risk populations. [Abstract copyright: AJTR Copyright © 2020.

Fasting plasma zeaxanthin response to Fructus barbarum L. (wolfberry; Kei Tze) in a food-based human supplementation trial

Antioxidant Research Group, Faculty of Health & Social Sciences2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Warming threat compounds habitat degradation impacts on a tropical butterfly community in Vietnam

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Congou tea drinking and oesophageal cancer in South China

The study from a large hospital-based case–control for 1248 cases with oesophageal cancer and the same number of controls in South China showed that Congou, a grade of Chinese black tea, may protect against cancers of the oesophagus and reduce the risk of a combination of alcohol drinking and smoking (especially smoking), regardless of temperature when drinking

Statistical Witness Indistinguishability (and more) in Two Messages

Two-message witness indistinguishable protocols were first constructed by Dwork and Naor (FOCS 00). They have since proven extremely useful in the design of several cryptographic primitives. However, so far no two-message arguments for NP provided statistical privacy against malicious verifiers. In this paper, we construct the first: - Two-message statistical witness indistinguishable (SWI) arguments for NP. - Two-message statistical zero-knowledge arguments for NP with super-polynomial simulation (Statistical SPS-ZK). These were previously believed to be impossible to construct via black-box reductions (Chung et al., ePrint 2012). - Two-message statistical distributional weak zero-knowledge (SwZK) arguments for NP with polynomial simulation, where the instance is sampled by the prover in the second round. These protocols are based on quasi-polynomial hardness of two-message oblivious transfer (OT) with game-based security, which can in turn be based on quasi-polynomial DDH or QR or N\u27th residuosity. We also demonstrate simple applications of these arguments to constructing more secure forms of oblivious transfer. Along the way, we show that the Kalai and Raz (Crypto 09) transform compressing interactive proofs to two-message arguments can be generalized to compress certain types of interactive arguments. We introduce and construct a new technical tool, which is a variant of extractable two-message statistically hiding commitments, by extending the work of Khurana and Sahai (FOCS 17). These techniques may be of independent interest

Bax Inhibitor-1 down-regulation in the progression of chronic liver diseases

<p>Abstract</p> <p>Background</p> <p>Bax inhibitor-1 (BI-1) is an evolutionary conserved endoplasmic reticulum protein that, when overexpressed in mammalian cells, suppresses the apoptosis induced by Bax, a pro-apoptotic member of the Bcl-2 family. The aims of this study were: (1) to clarify the role of intrinsic anti- and pro-apoptotic mediators, evaluating Bax and BI-1 mRNA and protein expressions in liver tissues from patients with different degrees of liver damage; (2) to determine whether HCV and HBV infections modulate said expression.</p> <p>Methods</p> <p>We examined 62 patients: 39 with chronic hepatitis (CH) (31 HCV-related and 8 HBV-related); 7 with cirrhosis (6 HCV-related and 1 HBV-related); 13 with hepatocellular carcinoma (HCC) [7 in viral cirrhosis (6 HCV- and 1 HBV-related), 6 in non-viral cirrhosis]; and 3 controls. Bax and BI-1 mRNAs were quantified by real-time PCR, and BI-1 protein expression by Western blot.</p> <p>Results</p> <p>CH tissues expressed significantly higher BI-1 mRNA levels than cirrhotic tissues surrounding HCC (P < 0.0001) or HCC (P < 0.0001). Significantly higher Bax transcripts were observed in HCV-genotype-1-related than in HCV-genotype-3-related CH (P = 0.033). A positive correlation emerged between BI-1 and Bax transcripts in CH tissues, even when HCV-related CH and HCV-genotype-1-related CH were considered alone (P = 0.0007, P = 0.0005 and P = 0.0017, respectively).</p> <p>Conclusions</p> <p>BI-1 expression is down-regulated as liver damage progresses. The high BI-1 mRNAs levels observed in early liver disease may protect virus-infected cells against apoptosis, while their progressive downregulation may facilitate hepatocellular carcinogenesis. HCV genotype seems to have a relevant role in Bax transcript expression.</p

Adjunctive mood stabilizer treatment for hospitalized schizophrenia patients: Asia psychotropic prescripton study (2001-2008)

Recent studies indicate relatively high international rates of adjunctive psychotropic medication, including mood stabilizers, for patients with schizophrenia. Since such treatments are little studied in Asia, we examined the frequency of mood-stabilizer use and its clinical correlates among hospitalized Asian patients diagnosed with schizophrenia in 2001-2008. We evaluated usage rates of mood stabilizers with antipsychotic drugs, and associated factors, for in-patients diagnosed with DSM-IV schizophrenia in 2001, 2004 and 2008 in nine Asian regions: China, Hong Kong, India, Korea, Japan, Malaysia, Taiwan, Thailand, and Singapore. Overall, mood stabilizers were given to 20.4% (n=1377/6761) of hospitalized schizophrenia patients, with increased usage over time. Mood-stabilizer use was significantly and independently associated in multivariate logistic modeling with: aggressive behaviour, disorganized speech, year sampled (2008 vs. earlier), multiple hospitalizations, less negative symptoms, younger age, with regional variation (Japan, Hong Kong, Singapore>Taiwan or China). Co-prescription of adjunctive mood stabilizers with antipsychotics for hospitalized Asian schizophrenia patients increased over the past decade, and was associated with specific clinical characteristics. This practice parallels findings in other countries and illustrates ongoing tension between evidence-based practice vs. individualized, empirical treatment of psychotic disorders.published_or_final_versio