Reduce Loss During Transportation: A Case Study of Fresh Vegetables in Thailand

The cold chain management is the temperature control process which is essential for maintain the quality of fresh produce from upstream to the consumer in the supply chain so that the loss is minimized. Our objectives are to monitor the temperature during transportation, analyses and identify the problem cause loss of fresh vegetables by using causal-loop diagram. We monitor the temperature during transportation of fresh vegetables from a farm in Northern Thailand to a packing house in the central Thailand around 750 kms. for 17 to 18 hours. The fresh vegetables are packed in a stereo foam box with the cool packs and pile up on the back of a truck. At the packing house, fresh vegetables are bruised and rotten and loss about 30-40 percent by weight. The temperature is monitored by the data loggers. The result showed that the temperature inside the box during transport is 20oC-30oC where the range of external temperature is 20oC-40oC. Then, we suggest how to reduce loss by using proper management such as suitable material to control the temperature during transportation, location of box in the truck and packing method

Type of syncope and outcome in Brugada syndrome: A systematic review and meta‐analysis

Abstract Introduction Brugada syndrome is an inherited arrhythmic disease associated with major arrhythmic events (MAE). The importance of primary prevention of sudden cardiac death (SCD) in Brugada syndrome is well recognized; however, ventricular arrhythmia risk stratification remains challenging and controversial. We aimed to assess the association of type of syncope with MAE via systematic review and meta‐analysis. Methods We comprehensively searched the databases of MEDLINE and EMBASE from inception to December 2021. Included studies were cohort (prospective or retrospective) studies that reported the types of syncope (cardiac, unexplained, vasovagal, and undifferentiated) and MAE. Data from each study were combined using the random‐effects, generic inverse variance method of DerSimonian and Laird to calculate the odds ratio (OR) and 95% confidence intervals (CIs). Results Seventeen studies from 2005 to 2019 were included in this meta‐analysis involving 4355 Brugada syndrome patients. Overall, syncope was significantly associated with an increased risk of MAE in Brugada syndrome (OR = 3.90, 95% CI: 2.22–6.85, p < .001, I2 = 76.0%). By syncope type, cardiac (OR = 4.48, 95% CI: 2.87–7.01, p < .001, I2 = 0.0%) and unexplained (OR = 4.71, 95% CI: 1.34–16.57, p = .016, I2 = 37.3%) syncope was significantly associated with increased risk of MAE in Brugada syndrome. Vasovagal (OR = 2.90, 95% CI: 0.09–98.45, p = .554, I2 = 70.9%) and undifferentiated syncope (OR = 2.01, 95% CI: 1.00–4.03, p = .050, I2 = 64.6%, respectively) were not. Conclusion Our study demonstrated that cardiac and unexplained syncope was associated with MAE risk in Brugada syndrome populations but not in vasovagal syncope and undifferentiated syncope. Unexplained syncope is associated with a similar increased risk of MAE compared to cardiac syncope