IMPLEMENT POLICIES ON TRAINING AND FOSTERING CADRES AND CIVIL SERVANTS OF KHMER IN THE MEKONG DELTA, VIETNAM

Cadres and civil servants who are ethnic Khmer people in the Mekong Delta have an essential position and role in implementing the Party's guidelines and guidelines, policies, and laws of the State to present with the people and directly manage society to achieve order, stability, and development. Cadres and civil servants who are ethnic Khmer people are the bridge between the Party, State, and the people, reflecting the people's legitimate thoughts and aspirations for the Party and State. Based on the method of document research, and secondary data, the paper outlines the characteristics of the Khmer people in the Mekong Delta; viewpoints and lines of the Party, policies, and laws of the State on training and retraining policies for cadres and civil servants who are ethnic Khmer people; On the basis of the actual situation of the policy, the thesis has proposed a number of solutions to improve the effectiveness of the policy on training and fostering cadres and civil servants who are ethnic Khmer people in the Mekong Delta.  Article visualizations

The effectiveness of local surgical technique in treatment of axillary bromhidrosis

BACKGROUND: Up to now, surgical excision of apocrine glands still has been a method that yields high treatment results and low rate of odour recurrent for patients, but many people worry about some serious complications that have been observed postoperatively, such as hematoma and skin necrosis. These prolong wound healing, leading to unsightly scars in the axillary fossae. AIM: We conducted this research to investigate the effects and complications of our surgical technique for axillary bromhidrosis. METHODS: Forty-three patients with axillary bromhidrosis were treated. An elliptical incision was made at a central portion of the area marked, with both tips of the ellipse along the axillary crease. The elliptical skin with the subcutaneous tissue was removed en lock. The adjacent skin was undermined to the periphery of the hair-bearing area with straight scissors. The undermined subcutaneous tissue was removed with curved scissors, and the skin was defatted to become a full-thickness skin flap. Any suspected hemorrhagic spots were immediately coagulated electrosurgically. Appropriate drains were placed, and the treated area was covered with thick gauze to each axilla. Arm movement was strictly controlled in the first 3 days post-operatively. RESULTS: Thirty-one patients have been followed up and evaluated for 6 months. 56 out of 62 axillae (90.3%) showed good to excellent results for malodor elimination. All patients reported a reduction in axillary sweating. There were two axillae of skin necrosis and three axillae of hematoma, with one patient receiving an anticoagulant from a cardiologist after the first day of surgery, to treat heart valve disease. The Dermatology Life Quality Index (DLQI) score decreased significantly, and the quality of life improved after the operation. CONCLUSION: Our technique is a simple surgical procedure and easy to perform helping to achieve results for high malodor elimination, with almost no serious complications. Patient’s life quality improved significantly after the operation

Successful Treatment of Freckles by Alex Trivantage Laser Wavelight 755 nm in Vietnamese Patients

OBJECTIVES: This study aims to evaluate the effectiveness of Alex Trivantage laser wavelength 755 nm (ATL) in the treatment of freckles at Hanoi Hospital of Dermatology and Venereology, Vietnam. PATIENTS AND METHODS: A group of 30 patients with freckles were treated by ATL (Alex Trivantage-Candela Co America) with spots size 3 mm, wavelength 755 mm, and energy 5-6 j/cm2. All the patients were treated 2 times with 4-weeks interval. The results were evaluated at 4, 8, and 12 weeks after treatment. The colour of the lesions was evaluated by using Von-Luchan’s chromatic scale and Visia® complex analysis system. Brown spot index (BSI) was calculated by the VISA complexion analysis system devices. The data was analysed by SPSS 16.0. RESULTS: After 2 times of treatment, the lesion colour of all of the patients had been improved. The good and very good levels of improvement were noted in 63.3% of patients; there was 26.7% of them had partial improvement. Brown spots index was significantly improved (39.13 ± 20.66 before and 54.23 ± 16.78 after treatment; p < 0.001). Hyperpigmentation was noted in 6.7% of patients. CONCLUSION: freckles have been improved by treatment with Alex trivantage laser wavelength 755 nm with safety

Efficacy of Surgical Excision for Nevus Sebaceous - Vietnamese Experience

BACKGROUND: Nevus Sebaceous (NS) is hamartoma predominantly composed of sebaceous glands and is classified as a type of epidermal nevus. In most case, clinical manifestation of NS is typical, so histopathology examination is important only in atypical lesions for its risk of malignancy. Clinical symptoms are plaques or papules (100%), appearing in the head area (100%) with smooth surface (65.8%), usually with hair loss (60.7%). The histopathology is mostly characterized by the image of sebaceous gland hyperplasia (100%), no hair follicles (60.7%) or immature follicles (14.3%). AIM: The aim of our study is describing clinical and histopathological manifestation, make diagnosis and evaluate the best therapy. METHODS: Our study recruited 38 patients with NS, 3 patients (7.9%) with atypical aspects. All patients were treated by surgical excision. RESULTS: Complications as hair loss and infections were reported in 36.8% patients. No patients had recurrence after one year of treatment. CONCLUSION: Based upon our experience, surgery is cheap, simple, associated with high aesthetics effectiveness and low recurrence rate, proposing as the first choice for treatment of NS

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

The global response: How cities and provinces around the globe tackled Covid-19 outbreaks in 2021

Background: Tackling the spread of COVID-19 remains a crucial part of ending the pandemic. Its highly contagious nature and constant evolution coupled with a relative lack of immunity make the virus difficult to control. For this, various strategies have been proposed and adopted including limiting contact, social isolation, vaccination, contact tracing, etc. However, given the heterogeneity in the enforcement of these strategies and constant fluctuations in the strictness levels of these strategies, it becomes challenging to assess the true impact of these strategies in controlling the spread of COVID-19.Methods: In the present study, we evaluated various transmission control measures that were imposed in 10 global urban cities and provinces in 2021 Bangkok, Gauteng, Ho Chi Minh City, Jakarta, London, Manila City, New Delhi, New York City, Singapore, and Tokyo.Findings: Based on our analysis, we herein propose the population-level Swiss cheese model for the failures and pit-falls in various strategies that each of these cities and provinces had. Furthermore, whilst all the evaluated cities and provinces took a different personalized approach to managing the pandemic, what remained common was dynamic enforcement and monitoring of breaches of each barrier of protection. The measures taken to reinforce the barriers were adjusted continuously based on the evolving epidemiological situation.Interpretation: How an individual city or province handled the pandemic profoundly affected and determined how the entire country handled the pandemic since the chain of transmission needs to be broken at the very grassroot level to achieve nationwide control

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing