320 research outputs found

    Trade patterns facilitating highly pathogenic avian influenza virus dissemination in the free-grazing layer duck system in Vietnam

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    Highly pathogenic avian influenza (HPAI) viruses continue to threaten smallholder poultry producers in several South‐east Asian countries, including Vietnam. In particular, the free‐grazing duck system has been repeatedly highlighted as a major risk factor for HPAI outbreaks. Free‐grazing ducks, which scavenge on rice paddies after the harvest, account for a large proportion of the duck population in Vietnam and the wider South‐east Asian region. However, the structure and dynamics of the free‐grazing duck production from farm to consumption has not been described for Vietnam. In this study, we used a value chain approach to provide a complete picture of the actors involved in the production and marketing of free‐grazing duck eggs and spent layer ducks, as well as to investigate the governance structure of this food system. Group interviews and key informant interviews were conducted in two provinces located in the Mekong River Delta (MRD) and the Red River Delta (RRD). The results presented here highlight similarities and differences in farming and trade practices between the two provinces. The trade of spent layer ducks involved large volumes of live ducks being sent to China and Cambodia for consumption, generating a substantial risk of transboundary spread of pathogens, including HPAI viruses. We describe the major role of “duck yards”, which act as hubs in the northbound trade of spent layer ducks. These yards should be considered as essential links in the value chain of spent layer ducks when considering HPAI surveillance and control. The veterinary authorities are only marginally involved in the value chain activities, and their influence could be strengthened by increasing surveillance activities for instance in duck yards. Last, we discuss the dynamics of the duck value chain and further implications for future HPAI management policies

    An Efficient Algorithm in Computing Optimal Data Concentrator Unit Location in IEEE 802.15.4g AMI Networks

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    With a view to achieve several goals in the smart grid (SG) such as making the production and delivery of electricity more cost-effective as well as providing consumers with available information which assists them in controlling their cost, the advanced metering infrastructure (AMI) system has been playing a major role to realize such goals. The AMI network, as an essential infrastructure, typically creates a two-way communication network between electricity consumers and the electric service provider for collecting of the big data generated from consumer’s smart meters (SM). Specifically, there is a crucial element called a data concentrator unit (DCU) employed to collect the boundless data from smart meters before disseminating to meter data management system (MDMS) in the AMI systems. Hence, the location of DCU has significantly impacted the quality of service (QoS) of AMI network, in particular the average throughput and delay. This work aims at developing an efficient algorithm in determining the minimum number of DCUs and computing their optimum locations in which smart meters can communicate through good quality wireless links in the AMI network by employing the IEEE 802.15.4g with unslotted CSMA/CA channel access mechanism. Firstly, the optimization algorithm computes the DCU location based on a minimum hop count metric. Nevertheless, it is possible that multiple positions achieving the minimum hop count may be found; therefore, the additional performance metric, i.e. the average throughput and delay, will be utilized to select the ultimately optimal location. In this paper, the maximum throughput with the acceptable averaged delay constraint is proposed by considering the behavior of the AMI meters, which is almost stationary in the AMI network. In our experiment, the algorithm is demonstrated in different scenarios with different densities of SM, including urban, suburban, and rural areas. The simulation results illustrate that the smart meter density and the environment have substantially impacted on a decision for DCU location, and the proposed methodology is significantly effective. Furthermore, the QoS in urban area, i.e. a highly populated area for SM, of the AMI network is better than those in the suburban and rural areas, where the SM density is quite sparse, because multiple available hops and routes created by neighboring meters in the dense area can help improve the average throughput and delay with the minimum hop count

    Capacity strengthening of village health volunteers during and post-COVID-19: a model to prepare for emerging diseases

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    Village health volunteers (VHVs) were essential in handling during and post-coronavirus disease 2019 (COVID-19). This study aimed to develop the capacity enhancement model of VHVs in preventing COVID-19 in Thailand. The development process and data collection used 12 stakeholders and 55 VHVs, respectively. The research tools were focus group discussions and questionnaires. We employed descriptive and inferential statistics for quantitative and content analysis for qualitative data. The model development was implemented in 9 processes: i) study the situation, ii) brainstorm to analyze the problems, iii) set the guidelines for model development, iv) organize training, v) review of role-based skills, vi) conduct public relations, vii) observe and follow up, viii) evaluate the operation, and ix) reflect on the results and lessons learned. After the model was developed, knowledge, attitude, and behavior in preventing COVID-19 were significantly better than before their capacity was enhanced (p<0.001). The model named “NAMKHUN Model,” which consisted of N=working as a network; A=ability to use application; M=effective management; K=up-to-date knowledge; H=having health literacy; U=having unity; and N=fast, accurate and up-to-date News). The success factor from the lesson learned was teamwork, which complements up-to-date knowledge and will create desirable skills for dealing with emerging diseases in the future

    Impact of ergonomic interventions on musculoskeletal health among Thai para rubber workers: evaluating workstation improvements

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    Introduction: Musculoskeletal disorders (MSDs) are a significant occupational health issue among rubber plantation workers in Thailand. This study evaluates the effectiveness of ergonomic interventions in reducing MSD risks in Ubon Ratchathani Province. Methods: A quasi-experimental design was used to study 96 workers across urban (UA), semi-urban (SA), and rural (RA) areas. Participants were divided into three groups: a control group (RA), a training-only group (SA), and a group receiving both ergonomic training and workstation improvements (UA). Data were collected using the Nordic Musculoskeletal Questionnaire and Rapid Entire Body Assessment (REBA) tool before and after the interventions. Paired sample t-tests were conducted to analyze changes in REBA scores and ergonomic knowledge. Results: The UA group, which received workstation improvements, showed a significant reduction in REBA scores from 13.22 (very high risk) to 6.47 (medium hazard) (p < 0.001). The SA group exhibited improved training scores (p < 0.005) but no significant reduction in ergonomic risks. The RA group showed no significant changes. Conclusion: The study demonstrates that while ergonomic training improves knowledge, it does not effectively reduce ergonomic risks without corresponding physical modifications to the work environment. Workstation improvements significantly lowered MSD risks in the UA group. These findings suggest that a combined approach of training and environmental interventions is necessary to improve occupational health outcomes in high-risk settings like rubber plantations

    GC-MS profiling, anti-oxidant and anti-diabetic assessments of extracts from microalgae Scenedesmus falcatus (KU.B1) and Chlorella sorokiniana (KU.B2)

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    Microalgae are a potentially valuable source in the food, pharmaceutical and nutraceutical sectors. While biological activities surveys have investigated the pharmaceutical properties of a few microalgae species, there are not many reports covering biological activity studies. This study was carried out to identify the metabolites by gas chromatography-mass spectrometry and evaluate the anti-oxidant, anti-diabetic properties of green algae extracts, Chlorella sorokiniana (KU.B2) and Scenedesmus falcatus (KU.B1). A total of 51 different chemical constituents were detected and tentatively identified. The primary compounds in both microalgae extracts included (R)-2-hexanol (38.67% in C. sorokiniana and 23.53% in S. falcatus), n-hexadecanoic acid (13.58% in C. sorokiniana and 18.94% in S. falcatus) and octadecanoic acid (22.30% in C. sorokiniana and 32.67% in S. falcatus). According to the profiling results, the C. sorokiniana extract exhibited greater anti-oxidant activity, 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging (IC50 = 480.30 ±?14.85 µg ml-1), nitric oxide (NO) radical scavenging (562.73 ±?3.52 µg mL-1) and ferric reducing anti-oxidant power (FRAP) of 58.51 ± 2.42 mgTE g-1. Comparatively, the C. sorokiniana extract had higher contents of alpha-glucosidase and alpha-amylase (IC50 = 491.22 ± 78.41 and 2,817.00 ±143.04 µg mL-1, respectively) than the S. falcatus extract. This first report demonstrated anti-diabetic effect of both extracts on diabetic enzymes. The results confirm microalgae's anti-oxidant and anti-diabetic properties and suggest their potential benefits in cosmeceutical, nutraceutical and pharmaceutical applications

    Age-Related Differences in Levels of Blood Chemistry Parameters and Cardiac Marker Proteins in Commercial Broilers

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    ABSTRACT The effect of age on levels of blood biochemical parameters in broiler chickens is largely unknown. The purpose of the present study was to investigate physiological alterations of blood chemistry variables in renal, liver, lipid and cardiac profile in commercial broilers at the age of 2(n=20) and 7 weeks (n=40). The results showed that compared with broiler chicks at the age of 7 weeks, those at the age of 2 weeks had significantly higher levels of blood urea nitrogen, creatinine, uric acid, triglycerides and the enzymes alanine aminotransferase and alkaline phosphatase. Older chicks, on the other hand, displayed significantly higher levels of total protein, albumin, total cholesterol and the enzyme gammaglutamyl transferase. Although a significantly higher activity of cardiac enzyme aspartate aminotransferase and a significantly lower activity of lactate dehydrogenase were observed in older chickens, younger broilers exhibited a significantly higher concentration of the cardiac-specific marker troponin T. There was no significant age-related difference either in the levels of cardiac enzymes creatine kinase, creatine kinase MB or in glucose level. Cardiac troponin T concentration correlated significantly with that of CK-MB in both groups of animals studied. These results underline the importance of age as a significant contributor of variation in levels of several blood chemistry parameters and cardiac marker proteins, especially cardiac troponin T in broiler chicks

    Effect of ochratoxin A on the intestinal mucosa and mucosa-associated lymphoid tissues in broiler chickens

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    The immunotoxic effect of ochratoxin A (OTA) on the intestinal mucosa-associated lymphoid tissue and its cytotoxic action on the intestinal epithelium were studied in broiler chickens experimentally treated with the toxin. From the 7th day of life, 80 male broiler chickens (Ross 308) were randomly divided into four groups of 20 birds each. The three experimental groups (E1-3) were treated with OTA for 28 days (E1: 50 μg/kg body weight [bw]/day; E2: 20 μg/kg bw/day; E3: 1 μg/kg bw/day) and the fourth group served as control. Histological examination of the intestinal mucosa and immunohistochemical staining for identification of CD4+, CD8+, TCR1 and TCR2 lymphocytes in the duodenum, jejunum and ileocaecal junction were performed, and CD4+/CD8+ and TCR1/TCR2 ratios were calculated. OTA toxicity resulted in decreased body weight gain, poorer feed conversion ratio, lower leukocyte and lymphocyte count, and altered intestinal mucosa architecture. After 14 days of exposure to OTA, immunohistochemistry showed a significant reduction of the lymphocyte population in the intestinal epithelium and the lamina propria. After 28 days of exposure, an increase in the CD4+ and CD8+ values in both the duodenum and jejunum of chickens in Groups E1 and E2 was observed, but the TCR1 and TCR2 lymphocyte counts showed a significant reduction. No significant changes were observed in Group E3. The results indicate that OTA induced a decrease in leukocyte and lymphocyte counts and was cytotoxic to the intestinal epithelium and the mucosa-associated lymphoid tissue, altering the intestinal barrier and increasing susceptibility to various associated diseases
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