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Search Results (695)

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17 pages, 2048 KiB  
Article
Analysis of the Spatial Characteristics and Influencing Factors of Large-Scale Land Acquisition Projects in Southeast Asia
by Jing Han, Xiaoting Han and Zichun Pan
Land 2024, 13(9), 1498; https://doi.org/10.3390/land13091498 (registering DOI) - 15 Sep 2024
Abstract
Southeast Asia is an essential region for companies carrying out large-scale land acquisitions (LSLAs). Exploring the distribution patterns and influencing factors of LSLA projects in this region is of great practical significance for summarizing the characteristics of LSLA projects in Southeast Asia, for [...] Read more.
Southeast Asia is an essential region for companies carrying out large-scale land acquisitions (LSLAs). Exploring the distribution patterns and influencing factors of LSLA projects in this region is of great practical significance for summarizing the characteristics of LSLA projects in Southeast Asia, for gaining a thorough understanding of LSLA project development rules, and for formulating reasonable policies to guide local LSLA projects. This study explores the spatial distribution and influencing factors of LSLA projects in Southeast Asia using the mean center method, the kernel density estimation method, and the grey correlation method. The findings indicate the following: Firstly, the majority of LSLA projects in Southeast Asia are located in the Indo-China Peninsula, Cambodia, Myanmar, Laos, and other countries, which represent significant regions of interest for LSLA projects in this region. Secondly, the spatial distribution of LSLA intention projects and LSLA contract projects in Southeast Asia is similar, whereas LSLA production projects differ from the former two. Thirdly, the scale of LSLA projects in Southeast Asia is closely related to the host country’s natural resources, socio-economic conditions, governance, and market environment. The total GDP, per capita arable land area, net foreign direct investment inflow, and political stability have been identified as exerting a significant influence on investment corporations’ selection of LSLA host countries. Full article
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<p>LSLA projects in Southeast Asia.</p>
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<p>The kernel density distribution map of LSLA intention projects in Southeast Asian host countries.</p>
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<p>The kernel density distribution map of LSLA contract projects in Southeast Asian host countries.</p>
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<p>The kernel density distribution map of LSLA production projects in Southeast Asian host countries.</p>
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16 pages, 1806 KiB  
Article
Outcomes of a Short-Duration, Large-Scale Canine Rabies Vaccination Campaign in Central Cambodia
by Keiichiro Tazawa, Amy N. Lewis, Frederic Lohr, Andrew D. Gibson, Martina Mayr, Bengthay Tep, Morany Heng, Stella Mazeri, Waraphon Phimpraphai and Luke Gamble
Animals 2024, 14(18), 2654; https://doi.org/10.3390/ani14182654 - 12 Sep 2024
Viewed by 174
Abstract
Background: WHO and WOAH advocate for annual high-coverage canine rabies vaccination campaigns as the most sustainable approach to eliminate the risk of dog rabies transmission to humans. It is estimated that Cambodia has one of the highest human rabies deaths per capita of [...] Read more.
Background: WHO and WOAH advocate for annual high-coverage canine rabies vaccination campaigns as the most sustainable approach to eliminate the risk of dog rabies transmission to humans. It is estimated that Cambodia has one of the highest human rabies deaths per capita of any country (5.8 human deaths per 100,000 people), highlighting the urgent need to implement an effective canine rabies vaccination program. To this end, a coalition of government and non-government organizations conducted a pioneering short-duration dog rabies vaccination campaign over 10 days across Phnom Penh and Kandal Provinces in May 2023. Methods: Over 10 working days, 120 vaccination teams, each consisting of two vaccinators and one tuk-tuk driver, traveled door-to-door to deliver parenteral rabies vaccines to all dogs that could be held by the teams or members of the community. Spatial team management and data collection were conducted through the WVS Data Collection Application. Results: A total of 74,983 dogs were vaccinated, giving a mean vaccination rate of 62.5 dogs per team per day. An additional 2145 cats were vaccinated. Of all dogs encountered by the teams, 84.0% could be vaccinated, with 99.1% of those being identified as owned. Post-vaccination surveys of 4356 households estimated a mean vaccination coverage of 70.7% in owned dogs across the districts of Phnom Penh Province. Conclusion: Short-duration, large-scale canine rabies vaccination campaigns can achieve high vaccination coverage using a door-to-door approach in urban centers of Cambodia. Data gathered through the campaign yielded insights to support the refinement and planning of a wider rabies control strategy and is anticipated to drive further support for subsequent campaigns in Cambodia. Full article
(This article belongs to the Section Veterinary Clinical Studies)
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<p>Locations of the provinces included in the MDV campaign and Working Zones and the location of campaign hubs (orange markers) in Phnom Penh Province. Polygons within the district border describe the Working Zones.</p>
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<p>Map of Phnom Penh and Kandal Provinces showing the number of dogs vaccinated per commune.</p>
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<p>Map of campaign region with points representing the GPS location of dog vaccinations colored by the day of vaccination to show the daily geographic progression of the vaccination workforce.</p>
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13 pages, 960 KiB  
Article
Occupational Health Problems among Cambodian Dentists: A Cross-Sectional Study
by Rodrigo Mariño, Rithvitou Horn, Moniroth Seat, Konitha Hong and Sokpheakta Hen
Epidemiologia 2024, 5(3), 592-604; https://doi.org/10.3390/epidemiologia5030041 - 5 Sep 2024
Viewed by 343
Abstract
Dental practitioners, as part of their work, are exposed to a variety of hazards. This highlights the ongoing need for attention to occupational health in the dental field. A cross-sectional study was organised to investigate the range, prevalence, and associated factors for occupational [...] Read more.
Dental practitioners, as part of their work, are exposed to a variety of hazards. This highlights the ongoing need for attention to occupational health in the dental field. A cross-sectional study was organised to investigate the range, prevalence, and associated factors for occupational health problems related to dental practice among Cambodian dentists. Participants underwent a face-to-face interview to explore dentists work-related health problems; 106 Cambodian dentists participated in this study, of which 68.9% were male. Ages ranged from 29 to 71 years, averaging 36.1 years, with the majority (77.4%) in the 29–40 age group. They had 5 to 18 years of practice experience, and worked an average of 52.2 h per week. Commonly reported health issues included back pain (88.7%), headaches (81.1%), shoulder pain (78.3%), arm/hand pain (57.5%), and eye problems (48.1%). Additionally, 38.7% of participants felt stressed and 19.8% depressed. Some reported suicidal thoughts and taking medication for depression. Despite these challenges, 91.5% enjoyed practicing dentistry. These findings highlight the need for interventions and strategies to address the physical and mental well-being of Cambodian dentists. By addressing these issues, steps can be taken to enhance the working conditions and professional satisfaction of dental professionals, ultimately benefiting both the practitioners and their patients. Full article
16 pages, 7535 KiB  
Article
Satellite Observations Reveal Northward Vegetation Greenness Shifts in the Greater Mekong Subregion over the Past 23 Years
by Bowen Deng, Chenli Liu, Enwei Zhang, Mengjiao He, Yawen Li and Xingwu Duan
Remote Sens. 2024, 16(17), 3302; https://doi.org/10.3390/rs16173302 - 5 Sep 2024
Viewed by 380
Abstract
The Greater Mekong Subregion (GMS) economic cooperation program is an effective and fruitful regional cooperation initiative for socioeconomic development in Asia; however, the vegetation change trends and directions in the GMS caused by rapid development remain unknown. In particular, there is a current [...] Read more.
The Greater Mekong Subregion (GMS) economic cooperation program is an effective and fruitful regional cooperation initiative for socioeconomic development in Asia; however, the vegetation change trends and directions in the GMS caused by rapid development remain unknown. In particular, there is a current lack of comparative studies on vegetation changes in various countries in the GMS. Based on the MODIS normalized difference vegetation index (NDVI) time series data, this study analyzed the spatiotemporal patterns of vegetation coverage and their trends in the GMS from 2000 to 2022 using the Theil–Sen slope estimation, the Mann–Kendall mutation test, and the gravity center migration model. The key findings were as follows: (1) the NDVI in the GMS showed an overall upward fluctuating trend over the past 23 years, with an annual growth rate of 0.11%. The NDVI changes varied slightly between seasons, with the greatest increases recorded in summer and winter. (2) The spatial distribution of NDVI in the GMS varied greatly, with higher NDVI values in the north–central region and lower NDVI values in the south. (3) A total of 66.03% of the GMS area showed increments in vegetation during the studied period, mainly in south–central Myanmar, northeastern Thailand, Vietnam, and China. (4) From 2000 to 2022, the gravity center of vegetation greenness shifted northward in the GMS, especially from 2000 to 2005, indicating that the growth rates of vegetation in the north–central part of the GMS were higher than those in the south. Furthermore, the vegetation coverage in all countries, except Cambodia, increased, with the most pronounced growth recorded in China. Overall, these findings can provide scientific evidence for the GMS to enhance ecological protection and sustainable development. Full article
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<p>Geographical location of the study area. (<b>a</b>) Elevation and location of the Great Mekong Subregion (GMS); and (<b>b</b>) land use types in 2020.</p>
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<p>Spatial distribution of normalized difference vegetation index (NDVI) in the GMS across the studied period (2000–2022). (<b>a</b>) Map showing average annual NDVI, (<b>b</b>) plot showing the total area covered by different NDVI classes, and (<b>c</b>) plot showing the area percentages of each country represented by different NDVI classes.</p>
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<p>Plots showing temporal variations in NDVI from 2000 to 2022: (<b>a</b>) interannual, (<b>b</b>) spring, (<b>c</b>) summer, (<b>d</b>) autumn, and (<b>e</b>) winter. Plots showing Mann–Kendall mutation test results from 2000 to 2022: (<b>f</b>) interannual, (<b>g</b>) spring, (<b>h</b>) summer, (<b>i</b>) autumn, and (<b>j</b>) winter.</p>
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<p>Maps showing the spatial distribution of vegetation change trends in the GMS: (<b>a</b>) Sen’s slope estimation, (<b>b</b>) Mann–Kendall significance test, and (<b>c</b>) Sen-MK trend-coupling type.</p>
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<p>Plots showing temporal variations in annual average NDVI values in the GMS countries from 2000 to 2022: (<b>a</b>) China, (<b>b</b>) Myanmar, (<b>c</b>) Thailand, (<b>d</b>) Laos, (<b>e</b>) Vietnam, and (<b>f</b>) Cambodia.</p>
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<p>Spatial variation of NDVI in different countries in the GMS. (<b>a</b>) Map showing NDVI spatial variation across the GMS, (<b>b</b>) plot showing trends in NDVI changes across different countries, and (<b>c</b>) plot showing percentage change in NDVI across different countries.</p>
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<p>Trends in NDVI center of gravity migration in the GMS for the period 2000–2022. (<b>a</b>) Standard deviation ellipse, (<b>b</b>) center of gravity migration trajectory, and (<b>c</b>) interannual migration distance.</p>
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15 pages, 875 KiB  
Article
The Impact of Metabolic Syndrome on Heart Failure in Young Korean Population: A Nationwide Study
by Tae-Eun Kim, Do Young Kim, Hyeongsu Kim, Jidong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Hyun Kyun Ki, Sung Hea Kim and Kyu-Hyung Ryu
Metabolites 2024, 14(9), 485; https://doi.org/10.3390/metabo14090485 - 4 Sep 2024
Viewed by 464
Abstract
Limited data are available regarding the effect of metabolic syndrome on heart failure (HF) development in young individuals. Utilizing data from the Korean National Health Insurance Service, we included a total of 1,958,284 subjects in their 40s who underwent health screening between January [...] Read more.
Limited data are available regarding the effect of metabolic syndrome on heart failure (HF) development in young individuals. Utilizing data from the Korean National Health Insurance Service, we included a total of 1,958,284 subjects in their 40s who underwent health screening between January 2009 and December 2009 in Korea. Subjects were classified into three groups: normal, pre-metabolic syndrome (Pre-MetS), and metabolic syndrome (MetS). MetS was identified in 10.58% of males and 5.21% of females. The hazard ratio for HF in subjects with MetS was 1.968 (95% CI: 1.526–2.539) for males and 2.398 (95% CI: 1.466–3.923) for females. For those with Pre-MetS, the hazard ratio was 1.607 (95% CI: 1.293–1.997) in males and 1.893 (95% CI: 1.43–2.505) in females. Additionally, acute myocardial infarction and low hemoglobin levels were identified as significant risk factors for HF in both genders. MetS approximately doubled the risk of developing HF in individuals in their 40s. Pre-MetS was also a significant risk factor for HF in this population. Full article
(This article belongs to the Special Issue Association between Cardiovascular Events and Metabolic Syndromes)
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<p>Timeline of screening, enrollment, and follow-up periods with participant outcomes. This figure illustrates the study’s screening period, enrollment period, and follow-up period. The follow-up period is explained through examples of hypothetical participants: Participant A enrolled in October 2009, was diagnosed with heart failure in September 2015, and subsequently died of heart failure in March 2016. The follow-up period for Participant A spans from October 2009 to September 2015. Participant B enrolled in June 2009 and died in a car accident in February 2016. The follow-up period for Participant B is from June 2009 to February 2016. Participant C enrolled in April 2009, was diagnosed with heart failure in 2014, and survived through December 2016. The follow-up period for Participant C is from April 2009 to 2014. Participant D enrolled in March 2009 and survived without any events through December 2016. The follow-up period for Participant D extends from March 2009 to December 2016.</p>
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<p>Flow diagram of the study. AF indicates atrial fibrillation; HF, heart failure; CAD, coronary artery disease; CVA, cerebellar vascular accident; PAD, peripheral artery disease; and MetS, metabolic syndrome.</p>
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<p>Incidence of heart failure according to metabolic syndrome status.</p>
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12 pages, 4670 KiB  
Article
Spatiotemporal Modeling of Aedes aegypti Risk: Enhancing Dengue Virus Control through Meteorological and Remote Sensing Data in French Guiana
by Sarah Bailly, Vanessa Machault, Samuel Beneteau, Philippe Palany, Camille Fritzell, Romain Girod, Jean-Pierre Lacaux, Philippe Quénel and Claude Flamand
Pathogens 2024, 13(9), 738; https://doi.org/10.3390/pathogens13090738 - 29 Aug 2024
Viewed by 439
Abstract
French Guiana lacks a dedicated model for developing an early warning system tailored to its entomological contexts. We employed a spatiotemporal modeling approach to predict the risk of Aedes aegypti larvae presence in local households in French Guiana. The model integrated field data [...] Read more.
French Guiana lacks a dedicated model for developing an early warning system tailored to its entomological contexts. We employed a spatiotemporal modeling approach to predict the risk of Aedes aegypti larvae presence in local households in French Guiana. The model integrated field data on larvae, environmental data obtained from very high-spatial-resolution Pleiades imagery, and meteorological data collected from September 2011 to February 2013 in an urban area of French Guiana. The identified environmental and meteorological factors were used to generate dynamic maps with high spatial and temporal resolution. The study collected larval data from 261 different surveyed houses, with each house being surveyed between one and three times. Of the observations, 41% were positive for the presence of Aedes aegypti larvae. We modeled the Aedes larvae risk within a radius of 50 to 200 m around houses using six explanatory variables and extrapolated the findings to other urban municipalities during the 2020 dengue epidemic in French Guiana. This study highlights the potential of spatiotemporal modeling approaches to predict and monitor the evolution of vector-borne disease transmission risk, representing a major opportunity to monitor the evolution of vector risk and provide valuable information for public health authorities. Full article
(This article belongs to the Special Issue Viral Infections of Humans: Epidemiology and Control)
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<p>French Guiana, the studied area, and the center of Matoury. Source IGN—Open Street Map.</p>
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<p>Number of confirmed cases collected by the regional system of epidemiological surveillance and entomological collection period in Matoury, French Guiana.</p>
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<p>Graphs of associations between explanatory variables and the presence of larvae.</p>
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<p>Monthly entomological risk maps from the modeling experiment based on data from November 2019 until August 2020 in the Cayenne area (Cayenne, Matoury, and Rémire-Montjoly municipalities).</p>
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<p>Correlation between the number of cases and the number of positive houses for the months where the model was extrapolated, Cayenne area (Cayenne, Matoury, and Rémire-Montjoly municipalities).</p>
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21 pages, 14988 KiB  
Article
An Analysis of Extreme Rainfall Events in Cambodia
by Sytharith Pen, Saeed Rad, Liheang Ban, Sokhorng Brang, Panha Nuth and Lin Liao
Atmosphere 2024, 15(8), 1017; https://doi.org/10.3390/atmos15081017 - 22 Aug 2024
Viewed by 593
Abstract
Extreme rainfall, also known as heavy rainfall or intense precipitation, is a weather event characterized by a significant amount of rainfall within a short period. This study analyzes the trends in extreme precipitation indices at 17 stations in four main regions in Cambodia—the [...] Read more.
Extreme rainfall, also known as heavy rainfall or intense precipitation, is a weather event characterized by a significant amount of rainfall within a short period. This study analyzes the trends in extreme precipitation indices at 17 stations in four main regions in Cambodia—the Tonle Sap, coastal, Mekong Delta, and Upper Mekong regions—between 1991 and 2021. Analyzing the data with RClimDex v1.9 reveals diverse spatial and temporal variations. The statistical analysis of the extreme rainfall indices in Cambodia from 1991 to 2021 reveals significant trends. In the Tonle Sap region, consecutive dry days (CDDs) increased at most stations, except Battabang, Kampong Thmar, and Pursat, while consecutive wet days (CWDs) increased at most stations. These trends align with rising temperatures and reduced forest cover. In the coastal region, particularly at the Krong Khemarak Phummin station, most rainfall indices increased, with a slope value of 89.94 mm/year. The extreme rainfall indices max. 1-day precipitation (RX1day) and max. 5-day precipitation (RX5day) also increased, suggesting higher precipitation on days exceeding the 95th (R95p) and 99th percentiles (R99p). The Kampot station showed a significant increase in CDDs, indicating a heightened drought risk. In the Mekong Delta, the Prey Veng station recorded a decrease in the CDDs slope value by −4.892 days/year, indicating potential drought risks. The Stung Treng station, which is the only station in Upper Mekong, showed a decreasing trend in CDDs with a slope value of −1.183 days/year, indicating a risk of extreme events. These findings underscore the complex interplay between climate change, land use, and rainfall patterns in Cambodia. Full article
(This article belongs to the Special Issue The Hydrologic Cycle in a Changing Climate)
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<p>The location of the stations in the study area (Cambodia).</p>
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<p>Mean annual rainfall data at each station in Cambodia (1991–2021).</p>
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<p>The spatial interpolation of the trends of the extreme rainfall indices in Cambodia: (<b>a</b>) CDDs, (<b>b</b>) CWDs, (<b>c</b>) RX1day, and (<b>d</b>) RX5day. The filled red downward and filled blue inverted triangles indicate decreasing and increasing trends, respectively.</p>
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<p>The spatial interpolation of the trends of the extreme rainfall indices in Cambodia: (<b>a</b>) R10, (<b>b</b>) R20, (<b>c</b>) Rnn, and (<b>d</b>) PRCPTOT. The filled red downward and filled blue inverted triangles indicate decreasing and increasing trends, respectively.</p>
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<p>The spatial interpolation of the trends of the extreme rainfall indices in Cambodia: (<b>a</b>) R95p, (<b>b</b>) R99p, and (<b>c</b>) SDII. The filled red downward and filled blue inverted triangles indicate decreasing and increasing trends, respectively.</p>
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<p>The temporal variation of the increasing trend for the Tonle Sap region of the CDDs extreme rainfall index. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of the decreasing trends for the Tonle Sap region of extreme rainfall indices: (<b>a</b>) PRCPTOT, (<b>b</b>) CWDs, (<b>c</b>) R10, (<b>d</b>) R20, (<b>e</b>) R151.75, (<b>f</b>) R95p, (<b>g</b>) R99p, (<b>h</b>) RX1day, (<b>i</b>) RX5day, and (<b>j</b>) SDII. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of the increasing trends for the coastal region of extreme rainfall indices: (<b>a</b>) PRCPTOT, (<b>b</b>) CWDs, (<b>c</b>) R10, (<b>d</b>) R20, (<b>e</b>) R283.55, (<b>f</b>) R99p, (<b>g</b>) R95p, (<b>h</b>) RX1day, and (<b>i</b>) RX5day. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of the decreasing trends for the coastal region of extreme rainfall indices: (<b>a</b>) SDII, and (<b>b</b>) CDDs. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of increasing trends for the Mekong Delta of extreme rainfall indices: (<b>a</b>) PRCPTOT, (<b>b</b>) CWDs, (<b>c</b>) R10, and (<b>d</b>) R140.7. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of decreasing trends for the Mekong Delta of extreme rainfall indices: (<b>a</b>) CDDs, (<b>b</b>) R20, (<b>c</b>) R95p, (<b>d</b>) R99p, (<b>e</b>) RX1day, (<b>f</b>) RX5day, and (<b>g</b>) SDII. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of the increasing trends for the Upper Mekong of extreme rainfall indices: (<b>a</b>) PRCPTOT, (<b>b</b>) R10, (<b>c</b>) R20, (<b>d</b>) R95p, (<b>e</b>) R99p, (<b>f</b>) RX1day, (<b>g</b>) RX5day, and (<b>h</b>) SDII. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>The temporal variation of the decreasing trends for the Upper Mekong of extreme rainfall indices: (<b>a</b>) CDDs, (<b>b</b>) CWDs, and (<b>c</b>) R157. The solid red line is the linear trend, the solid blue line is the annual variations, and the dotted blue line is the ten-year smoothing average.</p>
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<p>Seasonal extreme rainfall index R95p: (<b>a</b>) wet season; and (<b>b</b>) dry season. The downward red triangle is the negative trend and the upward blue triangle is the positive trend.</p>
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<p>Seasonal extreme rainfall index R99p: (<b>a</b>) wet season; and (<b>b</b>) dry season. The downward red triangle is the negative trend and the upward blue triangle is the positive trend.</p>
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<p>Number of consecutive dry days (CDDs) in both seasons: wet and dry seasons in Tonle Sap region.</p>
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<p>Number of consecutive dry days (CDDs) in both seasons: wet and dry seasons in the coastal region.</p>
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<p>Number of consecutive dry days (CDDs) in both seasons: wet and dry seasons in Mekong Delta.</p>
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<p>Number of consecutive dry days (CDDs) in both seasons: wet and dry seasons in Upper Mekong.</p>
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11 pages, 1475 KiB  
Article
The Long-Term Monitoring of Atmospheric Polychlorinated Dibenzo-p-Dioxin Dibenzofurans at a Background Station in Taiwan during Biomass Burning Seasons in El Niño and La Niña Events
by Shih Yu Pan, Yen-Shun Hsu, Yuan Cheng Hsu, Tuan Hung Ngo, Charles C.-K. Chou, Neng-Huei Lin and Kai Hsien Chi
Atmosphere 2024, 15(8), 1002; https://doi.org/10.3390/atmos15081002 - 20 Aug 2024
Viewed by 319
Abstract
To measure the long-range transport of PCDD/Fs, a background sampling site at Mt. Lulin station (Taiwan) was selected based on meteorological information and its location relative to burning events in Southeast Asia. During regular sampling periods, a higher concentration of PCDD/Fs was recorded [...] Read more.
To measure the long-range transport of PCDD/Fs, a background sampling site at Mt. Lulin station (Taiwan) was selected based on meteorological information and its location relative to burning events in Southeast Asia. During regular sampling periods, a higher concentration of PCDD/Fs was recorded in 2008 at Mt. Lulin station during La Niña events, with levels reaching 390 fg I-TEQ/m3. In contrast, a higher concentration of 483 fg I-TEQ/m3 was observed in 2013 during biomass burning events. This indicates that La Niña affects the ambient PCDD/F concentrations. The ratio of ΣPCDD/ΣPCDF was 0.59, suggesting significant long-range transport contributions from 2007 to 2023. From 2007 to 2015, the predominant species was 2,3,4,7,8-PCDF, accounting for 25.3 to 39.6% of the total PCDD/Fs. From 2018 onward, 1,2,3,7,8-PCDD became more dominant, accounting for 15.0 to 27.1%. According to the results from the receptor model PMF (n = 150), the sources of PCDD/Fs were identified as dust storms and monsoon events (19.3%), anthropogenic activity (28.5%), and biomass burning events (52.2%). The PSCF values higher than 0.7 highlighted potential PCDD/F emission source regions for Mt. Lulin during biomass burning events, indicating high PSCF values in southern Thailand, Cambodia, and southern Vietnam. Full article
(This article belongs to the Special Issue Toxicity of Persistent Organic Pollutants and Microplastics in Air)
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<p>The locations of the high-altitude sampling site (Mt. Lulin) in Taiwan.</p>
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<p>The distribution of WSIs during El Niño and La Niña.</p>
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<p>Atmospheric PCDD/Fs, PAHs and total suspended particles measured at Mt. Lulin station during 2007–2023.</p>
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<p>The distribution of atmospheric PCDD/Fs in Mt. Lulin during El Niño and La Niña.</p>
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<p>The map of PSCF value in potential emission source region from 2007 to 2023: (<b>a</b>) backward trajectory. (<b>b</b>) the value of PSCF in ambient PCDD/Fs (n = 150).</p>
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16 pages, 871 KiB  
Article
A Study on the Trade Efficiency and Potential of China’s Agricultural Products Export to Association of South East Asian Nations Countries: Empirical Analysis Based on Segmented Products
by Juan Du, Yuan Liu, Shanna Luo and Xin Luo
Agriculture 2024, 14(8), 1387; https://doi.org/10.3390/agriculture14081387 - 17 Aug 2024
Viewed by 522
Abstract
This study examines the current state of China’s agricultural exports to ASEAN countries using a segmented export structure analysis via a stochastic frontier gravity model, based on panel data from 2007 to 2020. The results indicate that: (1) China’s primary agricultural exports to [...] Read more.
This study examines the current state of China’s agricultural exports to ASEAN countries using a segmented export structure analysis via a stochastic frontier gravity model, based on panel data from 2007 to 2020. The results indicate that: (1) China’s primary agricultural exports to ASEAN countries include plant products, food and beverages, and tobacco, with animal products mainly exported to Thailand, plant products mainly exported to Vietnam, and animal and plant fats, food, beverages, and tobacco mainly exported to Malaysia. (2) The economic scale and population size of China and ASEAN countries have differing impacts on various markets, while distance significantly negatively affects the exports of animal products, plant products, food, beverages, and tobacco. Additionally, ASEAN countries’ per capita carbon emissions positively influence the exports of these product categories. (3) The liner shipping connectivity index is significantly negatively correlated with trade inefficiency. The influences of financial freedom, trade freedom, investment freedom, and government expenditure on trade inefficiency vary across ASEAN countries. (4) China’s export efficiency for animal products, plant products, food, beverages, and tobacco has increased rapidly to Thailand and Vietnam, with Malaysia and Singapore showing high export efficiency, while that to Cambodia lags. (5) China exhibits significant export potential to Thailand, Indonesia, and Vietnam, with substantial expansion opportunities in Indonesia. Moreover, China’s export potential and opportunities in Cambodia are steadily increasing. Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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<p>Theoretical analysis framework.</p>
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<p>Stochastic gravity model.</p>
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19 pages, 817 KiB  
Article
Classification of Student Leadership Profiles in Diverse Governance Settings: Insights from Pisa 2022
by Deniz Görgülü, Fatma Coşkun, Mete Sipahioğlu and Mustafa Demir
Behav. Sci. 2024, 14(8), 718; https://doi.org/10.3390/bs14080718 - 16 Aug 2024
Viewed by 727
Abstract
Student leadership prepares students for responsibilities, such as taking on specific tasks and assuming leadership roles in their future personal and professional lives. Developing students’ leadership profiles is among the important goals of educational systems aiming for future generations to take responsibility and [...] Read more.
Student leadership prepares students for responsibilities, such as taking on specific tasks and assuming leadership roles in their future personal and professional lives. Developing students’ leadership profiles is among the important goals of educational systems aiming for future generations to take responsibility and advance their countries. With this perspective in mind, the PISA assessment includes items to measure students’ leadership behaviors. This study aims to extract student leadership profiles from the leadership-related items in the PISA 2022 application, using data from Cambodia, Peru, Paraguay, and Guatemala, which have different governance systems and cultural characteristics. The second purpose of the research is to determine the distribution of the identified leadership profiles in these countries and explain them in the context of governance and cultural characteristics. Latent class analysis was used to determine student leadership profiles. Accordingly, two-class and three-class latent models were found to be the most suitable models to explain student profiles. While the distinction between student profiles is more pronounced in the two-class model, the three-class model provides more detailed information about student profiles. In this respect, two-class and three-class latent models are reported comparatively. In the two-class latent model, students are labeled as the “Shy or Lack of Self-Confidence Group” and the “Active Leader or Influential Group”. In the three-class latent model, students are labeled as the “Moderate or Passive Leader Group”, the “Strong Leader or Influential Group”, and the “Avoidant or Leadership-Uncomfortable Group”. In both models, it is one of the striking findings that Cambodian students are in the low leadership profile, and Peruvian students are in the high leadership profile. Full article
(This article belongs to the Topic Educational and Health Development of Children and Youths)
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<p>Profile plots of response probabilities for latent classes.</p>
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18 pages, 7153 KiB  
Article
Genetic Variants in the TBC1D2B Gene Are Associated with Ramon Syndrome and Hereditary Gingival Fibromatosis
by Thatphicha Kularbkaew, Tipaporn Thongmak, Phan Sandeth, Callum S. Durward, Pichai Vittayakittipong, Paul Duke, Anak Iamaroon, Sompid Kintarak, Worrachet Intachai, Chumpol Ngamphiw, Sissades Tongsima, Peeranat Jatooratthawichot, Timothy C. Cox, James R. Ketudat Cairns and Piranit Kantaputra
Int. J. Mol. Sci. 2024, 25(16), 8867; https://doi.org/10.3390/ijms25168867 - 15 Aug 2024
Viewed by 632
Abstract
Ramon syndrome (MIM 266270) is an extremely rare genetic syndrome, characterized by gingival fibromatosis, cherubism-like lesions, epilepsy, intellectual disability, hypertrichosis, short stature, juvenile rheumatoid arthritis, and ocular abnormalities. Hereditary or non-syndromic gingival fibromatosis (HGF) is also rare and considered to represent a heterogeneous [...] Read more.
Ramon syndrome (MIM 266270) is an extremely rare genetic syndrome, characterized by gingival fibromatosis, cherubism-like lesions, epilepsy, intellectual disability, hypertrichosis, short stature, juvenile rheumatoid arthritis, and ocular abnormalities. Hereditary or non-syndromic gingival fibromatosis (HGF) is also rare and considered to represent a heterogeneous group of disorders characterized by benign, slowly progressive, non-inflammatory gingival overgrowth. To date, two genes, ELMO2 and TBC1D2B, have been linked to Ramon syndrome. The objective of this study was to further investigate the genetic variants associated with Ramon syndrome as well as HGF. Clinical, radiographic, histological, and immunohistochemical examinations were performed on affected individuals. Exome sequencing identified rare variants in TBC1D2B in both conditions: a novel homozygous variant (c.1879_1880del, p.Glu627LysfsTer61) in a Thai patient with Ramon syndrome and a rare heterozygous variant (c.2471A>G, p.Tyr824Cys) in a Cambodian family with HGF. A novel variant (c.892C>T, p.Arg298Cys) in KREMEN2 was also identified in the individuals with HGF. With support from mutant protein modeling, our data suggest that TBC1D2B variants contribute to both Ramon syndrome and HGF, although variants in additional genes might also contribute to the pathogenesis of HGF. Full article
(This article belongs to the Special Issue Recent Advances in Human Genetics)
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<p>Patient 1. (<b>a</b>,<b>b</b>) Patient 1, aged 4 years, carrying a homozygous variant c.1879_1880del; p.Glu627LysfsTer61 in the <span class="html-italic">TBC1D2B</span> gene. Non-inflammatory gingival overgrowth is evident. (<b>c</b>,<b>d</b>) Patient 1, aged 7 years, demonstrating recurrent gingival overgrowth. (<b>e</b>–<b>i</b>) A computerized tomography scan showing expansile and perforated mandible (arrows) and a persistent opening of the anterior fontanelle (arrow). (<b>j</b>) Panoramic radiograph showing expansile mandible with cherubism-like lesions (arrows). Unerupted permanent mandibular molars are associated with cherubism-like lesions.</p>
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<p>(<b>a</b>) Histopathologic examination of the gingival tissue of patient 1. The overlying surface stratified squamous epithelium demonstrates elongation of the rete ridges. The underlying fibrous connective tissue is markedly thickened with normal density of fibroblasts (hematoxylin-eosin, original magnification: ×20). (<b>b</b>) Histological section of the sample from of the mandible of patient 1 demonstrating multinucleated osteoclast-like giant cells (arrows) within a fibrous stroma, a characteristic feature of cherubism.</p>
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<p>Patients 2–4 with HGF who carried a novel heterozygous variant in the <span class="html-italic">TBC1D2B</span> (p.Tyr824Cys) and <span class="html-italic">KREMEN2</span> (p.Arg259Cys) genes. (<b>a</b>) Patient 2 with cataracts and gingival overgrowth. (<b>b</b>) Patient 3 with severe gingival overgrowth. (<b>c</b>) Patient 4 with gingival overgrowth. (<b>d</b>) Gingival overgrowth in patient 2. (<b>e</b>) Severe gingival overgrowth in patient 3. (<b>f</b>) Gingival overgrowth in patient 4. (<b>g</b>) Panoramic radiograph of patient 3 showing dense mandibular bone, displacement of teeth, and generalized alveolar bone loss. (<b>h</b>) Panoramic radiograph of patient 4 showing dense mandibular bone of patient 4 with generalized alveolar bone loss.</p>
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<p>(<b>a</b>) Histopathologic examination of the gingival tissue of patient 3. The overlying surface stratified squamous epithelium demonstrates elongation of the rete ridges. The underlying fibrous connective tissue is markedly thickened with normal density of fibroblasts (hematoxylin-eosin, original magnification: ×20). (<b>b</b>) Dysplastic changes of epithelial cells characterized by increased mitoses, enlarged nuclei with prominent nucleoli (arrows), and increased nuclear/cytoplasmic ratios, suggestive of epithelial dysplasia.</p>
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<p>(<b>a</b>–<b>c</b>) Sequence chromatograms of <span class="html-italic">TBC1D2B</span> and <span class="html-italic">KREMEN2</span> variants in patients 1–4, controls, and their unaffected family members. (<b>d</b>) Conservation of amino acid residues. The amino acids Tyr824 and Arg298 are highly conserved across vertebrate species.</p>
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<p>Protein changes and consequences. (<b>a</b>) Map of the TBC1D2B protein sequence. (<b>b</b>) Map of the KREMEN2 protein sequence. (<b>c</b>) Predicted 3-dimensional structure model of the TBC1D2B. (<b>d</b>) Predicted 3-dimensional model of KREMEN2. The protein domains in (<b>c</b>,<b>d</b>) are colored similar to their colors in the domain maps in (<b>a</b>,<b>b</b>). Side chains of mutated residues and their surrounding amino acid residues are shown in stick representation. Magenta carbon, red oxygen, blue nitrogen, and dark yellow sulfur atoms depict the mutations.</p>
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<p>Representative images of immunohistochemistry study to determine E-cadherin, BCL-2, and β-catenin expression in (<b>a</b>,<b>d</b>,<b>g</b>) normal gingiva controls, (<b>b</b>,<b>e</b>,<b>h</b>) patient 1 (Ramon syndrome), and (<b>c</b>,<b>f</b>,<b>i</b>) patient 4 (HGF) (magnification, 8×). (<b>b</b>) E-cadherin showed decreased expression in the basal layer of the epidermis in patient 1. (<b>e</b>) BCL-2 showed increased expression in the basal layer of the epidermis and the lamina propria in patient 1. (<b>h</b>) β-catenin showed increased expression in the upper layer of the epidermis but decreased expression in the lamina propria of patient 1. No differences of (<b>a</b>,<b>c</b>) E-cadherin, (<b>d</b>,<b>f</b>) BCL-2, and (<b>g</b>,<b>i</b>) β-catenin expression were observed between the gingiva of patient 4 and the normal gingival tissue.</p>
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<p>Flowchart showing hypothetical pathogenesis mechanisms leading to gingival fibromatosis, seizure, epithelial dysplasia, and cherubism-like lesions as the results of genetic variants in <span class="html-italic">TBC1D2B</span>, <span class="html-italic">SOS1</span>, <span class="html-italic">ELMO2</span>, and <span class="html-italic">REST</span>. The main pathogenetic mechanisms appear to be overactivation of RAC1, dysregulated TGFB signaling, and increased epithelial-to-mesenchymal transition. Refs. [<a href="#B1-ijms-25-08867" class="html-bibr">1</a>,<a href="#B2-ijms-25-08867" class="html-bibr">2</a>,<a href="#B3-ijms-25-08867" class="html-bibr">3</a>,<a href="#B4-ijms-25-08867" class="html-bibr">4</a>,<a href="#B5-ijms-25-08867" class="html-bibr">5</a>,<a href="#B6-ijms-25-08867" class="html-bibr">6</a>,<a href="#B7-ijms-25-08867" class="html-bibr">7</a>,<a href="#B8-ijms-25-08867" class="html-bibr">8</a>,<a href="#B9-ijms-25-08867" class="html-bibr">9</a>,<a href="#B10-ijms-25-08867" class="html-bibr">10</a>,<a href="#B11-ijms-25-08867" class="html-bibr">11</a>,<a href="#B12-ijms-25-08867" class="html-bibr">12</a>,<a href="#B13-ijms-25-08867" class="html-bibr">13</a>,<a href="#B14-ijms-25-08867" class="html-bibr">14</a>,<a href="#B15-ijms-25-08867" class="html-bibr">15</a>,<a href="#B16-ijms-25-08867" class="html-bibr">16</a>,<a href="#B17-ijms-25-08867" class="html-bibr">17</a>,<a href="#B18-ijms-25-08867" class="html-bibr">18</a>,<a href="#B19-ijms-25-08867" class="html-bibr">19</a>,<a href="#B20-ijms-25-08867" class="html-bibr">20</a>,<a href="#B21-ijms-25-08867" class="html-bibr">21</a>,<a href="#B23-ijms-25-08867" class="html-bibr">23</a>,<a href="#B24-ijms-25-08867" class="html-bibr">24</a>,<a href="#B25-ijms-25-08867" class="html-bibr">25</a>,<a href="#B26-ijms-25-08867" class="html-bibr">26</a>,<a href="#B27-ijms-25-08867" class="html-bibr">27</a>,<a href="#B28-ijms-25-08867" class="html-bibr">28</a>,<a href="#B29-ijms-25-08867" class="html-bibr">29</a>,<a href="#B30-ijms-25-08867" class="html-bibr">30</a>,<a href="#B31-ijms-25-08867" class="html-bibr">31</a>,<a href="#B32-ijms-25-08867" class="html-bibr">32</a>,<a href="#B33-ijms-25-08867" class="html-bibr">33</a>,<a href="#B34-ijms-25-08867" class="html-bibr">34</a>,<a href="#B35-ijms-25-08867" class="html-bibr">35</a>].</p>
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18 pages, 6976 KiB  
Article
Ecological and Environmental Risk Warning Framework of Land Use/Cover Change for the Belt and Road Initiative
by Yinjie He, Dafang Wu, Shuangcheng Li and Ping Zhou
Land 2024, 13(8), 1281; https://doi.org/10.3390/land13081281 - 14 Aug 2024
Viewed by 682
Abstract
Land use/cover change(LUCC) has a significant impact on the ecological environment. Within the Belt and Road Initiative (BRI), as the largest cross-spatial cooperation initiative in human history, one of the core issues is how to scientifically and effectively use and manage the land [...] Read more.
Land use/cover change(LUCC) has a significant impact on the ecological environment. Within the Belt and Road Initiative (BRI), as the largest cross-spatial cooperation initiative in human history, one of the core issues is how to scientifically and effectively use and manage the land in the region to prevent the destruction of important ecological and environmental resources. In order to reduce impact on the latter, in this study, we used the bivariate choropleth–multiple-criteria decision analysis (BC-MCDA) method based on the connotation of the sustainable development goals to construct an ecological and environmental risk warning framework. We found that in the study area, 10.51% of the land has high ecological and environmental risk and importance, corresponding to conflict zones, which require special attention. Conflict areas are mainly distributed in the Gangetic Plain in India, the plains in central and southern Cambodia, the Indonesian archipelago, and the southern coastal areas of China. Due to the uneven spatial distributions of population and important ecological and environmental resources, the pressure on this type of land use is very high. A share of 8.06% of the land has high risk–low importance, corresponding to economic development zones. Following years of human development, the ecological and environmental value of this type of land is low. A share of 58.75% of the land has low risk and importance, corresponding to wilderness areas. The natural climatic conditions of this type of land are relatively poor, often characterized by a cold climate or water scarcity, and the human interference index is low. A share of 22.68% of the land has low risk–high importance, corresponding to ecological conservation areas, which are the most important areas for ecological function services for humans at present. Finally, we proposed development suggestions for each type of land. Full article
(This article belongs to the Special Issue Ecological Restoration and Reusing Brownfield Sites)
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<p>Study area.</p>
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<p>Principle of bivariate choropleth mapping.</p>
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<p>Ecological and environmental risk layer.</p>
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<p>Ecological and environmental importance layer.</p>
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<p>Bivariate choropleth map.</p>
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<p>Ecological and environmental risk layer—taking China as an example.</p>
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<p>Layer of ecological and environmental importance—taking China as an example.</p>
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<p>Bivariate choropleth map—taking China as an example.</p>
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29 pages, 2881 KiB  
Review
Municipal Solid Waste Management in Laos: Comparative Analysis of Environmental Impact, Practices, and Technologies with ASEAN Regions and Japan
by Vongdala Noudeng, Dek Vimean Pheakdey, Tran Thi Ngoc Minh and Tran Dang Xuan
Environments 2024, 11(8), 170; https://doi.org/10.3390/environments11080170 - 9 Aug 2024
Viewed by 1835
Abstract
Municipal solid waste management in developing countries faces limitations, especially concerning technologies for treatment and disposal, which is crucial for achieving environmental and economic sustainability goals. This paper investigates municipal solid waste management in Laos, compared with the ASEAN-Japan regions, focusing on background [...] Read more.
Municipal solid waste management in developing countries faces limitations, especially concerning technologies for treatment and disposal, which is crucial for achieving environmental and economic sustainability goals. This paper investigates municipal solid waste management in Laos, compared with the ASEAN-Japan regions, focusing on background information, waste characteristics, environmental impact, and treatment technologies for resource utilization. The findings indicate a continuous rise in municipal waste generation in Laos, particularly in the capital Vientiane, from 0.21 million tons in 2012 to 0.37 million tons in 2021. Treatment methods include unsanitary landfilling, basic recycling, and open dumping, as well as burning or discharge into rivers, posing potential risks to the environment and human health. Japan and Singapore have shown decreasing trends, with Japan reducing from 45.23 million tons in 2012 to 40.95 million tons in 2021 and Singapore from 7.27 million tons in 2021 to 6.94 million tons in 2021. Laos encounters challenges in managing municipal waste, especially in waste recovery and waste-to-energy practices, crucial elements of integrated solid waste management aimed at promoting environmental and economic sustainability. Enhancing waste management in Laos involves developing a waste management act with segregation, recycling, and extended producer responsibility policies. Implementing mechanical biological treatment facilities, waste-to-energy plants, and upgraded landfills is crucial. Capacity building and public awareness campaigns on waste management will improve sustainability, reduce environmental impacts, and advance sustainable development goals for sustainable cities and communities. Full article
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<p>Main diagram of literature framework.</p>
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<p>Solid waste composition in four cities in Laos.</p>
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<p>Flow of municipal solid waste in Vientiane.</p>
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<p>Municipal solid waste management flows (million tons) in nine ASEAN countries.</p>
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<p>Legal framework for waste management and recycling in Japan [<a href="#B137-environments-11-00170" class="html-bibr">137</a>,<a href="#B138-environments-11-00170" class="html-bibr">138</a>,<a href="#B139-environments-11-00170" class="html-bibr">139</a>,<a href="#B140-environments-11-00170" class="html-bibr">140</a>,<a href="#B141-environments-11-00170" class="html-bibr">141</a>].</p>
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<p>The relationship between MSW generation and influencing factors such as population and GDP in VT (<b>A</b>), Singapore (<b>B</b>), Thailand (<b>C</b>), Malaysia (<b>D</b>), Vietnam (<b>E</b>), and Japan (<b>F</b>), respectively.</p>
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<p>Hierarchy in MSW management between developing and developed countries.</p>
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13 pages, 4291 KiB  
Article
The Impacts of Dams on Streamflow in Tributaries to the Lower Mekong Basin
by Romduol Khoeun, Ratha Sor, Kimsan Chann, Sophea Rom Phy, Chantha Oeurng and Ty Sok
Sustainability 2024, 16(15), 6700; https://doi.org/10.3390/su16156700 - 5 Aug 2024
Viewed by 1076
Abstract
The Lower Mekong Basin has had extensive hydropower dam development, which changes its hydrologic conditions and threatens the exceptional aquatic biodiversity. This study quantifies the degree of hydrologic change between pre-impact (1965–1968) and post-impact (2018–2021) peak hydropower development in two major tributaries of [...] Read more.
The Lower Mekong Basin has had extensive hydropower dam development, which changes its hydrologic conditions and threatens the exceptional aquatic biodiversity. This study quantifies the degree of hydrologic change between pre-impact (1965–1968) and post-impact (2018–2021) peak hydropower development in two major tributaries of the Lower Mekong Basin—the Sekong River, with the fewest dams, and the Sesan River, with the most dams. Both rivers have historically supported migratory fishes. We used daily pre- and post-impact data and the Indicators of Hydrologic Alteration framework to evaluate streamflow changes from dam development. We found significant changes in low- and high-magnitude flows in the pre- and post-impact periods of dam development. For the Sekong River, minimum flow had large fluctuations, with increases of 290% to 412% compared to the pre-impact period, while the Sesan River’s minimum flow ranged from 120% to 160% more than pre-impact. Dry season flows increased by 200 ± 63% on average in the Sekong River, which was caused by releases from upstream dams. Meanwhile, the Sesan River’s dry season flows increased by 100 ± 55% on average. This study indicates that seasonal flow changes and extreme flow events occurred more frequently in the two basins following dam construction, which may threaten the ecosystem’s function. Full article
(This article belongs to the Special Issue Global Hydrological Studies and Ecological Sustainability)
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<p>The Sekong and Sesan rivers, with dams and monitoring stations.</p>
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<p>The cumulative reservoir storage for both river basins (gray shading), the Sekong River (blue line), and the Sesan River (red dashed line), with a timeline of dam construction.</p>
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<p>The flow duration curves for the pre- and post-impact periods at the Siempang station in the Sekong River and the Veurnsai station in the Sesan River.</p>
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<p>The percent changes in the post-dam development flow minima and maxima compared to the pre-dam development hydrology at the Siempang station in the Sekong River and the Veurnsai station in the Sesan River.</p>
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<p>Box and whisker plots showing the differences in streamflow between the pre- and post-impact periods for each river, and between the rivers in dry and wet seasons. Different lower case letters in the boxplot indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Monthly average discharge at gauge stations in the Sekong and Sesan rivers.</p>
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<p>The observed minimum/maximum discharges (flows) and the corresponding relative changes in the Sekong (<b>a</b>,<b>b</b>) and Sesan (<b>c</b>,<b>d</b>) rivers.</p>
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<p>The cumulative storage of upstream dams above the studied gauge station in the Sesan River.</p>
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8 pages, 839 KiB  
Article
Variation in Interleukin-4, -6, and -10 in Mastitis Milk: Associations with Infections, Pathogens, Somatic Cell Counts, and Oxidative Stress
by Wasana Chaisri, Montira Intanon, Duanghathai Saipinta, Anyaphat Srithanasuwan, Noppason Pangprasit, Weerin Jaraja, Areerat Chuasakhonwilai and Witaya Suriyasathaporn
Vet. Sci. 2024, 11(8), 350; https://doi.org/10.3390/vetsci11080350 - 2 Aug 2024
Viewed by 807
Abstract
Poor mastitis control favors intramammary infection (IMI), which always involves CNS. This study aimed to determine the relationships of IL-4, IL-6, and IL-10 in mastitis milk with concurrent infection, bacterial pathogens, SCC, and MDA, an oxidative stress marker. All mastitis quarters from five [...] Read more.
Poor mastitis control favors intramammary infection (IMI), which always involves CNS. This study aimed to determine the relationships of IL-4, IL-6, and IL-10 in mastitis milk with concurrent infection, bacterial pathogens, SCC, and MDA, an oxidative stress marker. All mastitis quarters from five smallholder dairy farms were sampled aseptically before morning milking and again before afternoon milking for bacteriological identification using MALDI-TOF mass spectrometry. The samples with the concomitant infection between streptococci and CNS and their pairs of another sample from the quarters were selected. In addition, samples were randomly chosen to have a controlled single infection. IL-4, IL-6, and IL-10 were measured with ELISA kits. MDA was measured using HPLC, while SCC was measured using Fossomatic™ FC. The results from a repeated measure analysis showed that IL-4 positively correlated with SCC, while IL-6 showed a negative trend. IL-4 levels were highest in CNS infections and significantly higher than in non-infected or mixed infections (p < 0.05). The IL-6 level of the mixed bacteria was highest and showed a different trend from non-infection, and the quarter was infected with streptococcal bacteria. In conclusion, from a single infection, the streptococci and CNS quarter showed varied immune responses, including trendily higher IL-6 and IL-4. Full article
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<p>Relationship of somatic cell count (SCC) and malondialdehyde (MDA), sampling times, number of infections, and infected bacteria on interleukin-4 (IL-4), IL-6, and IL-10, respectively. (<b>A1</b>) Relationship of IL-4 and SCC. (<b>A2</b>) Relationship of IL-4 and MDA. (<b>A3</b>) Relationship of IL-4 and sampling times, number of infections, and infected bacteria. (<b>B1</b>) Relationship of IL-6 and SCC. (<b>B2</b>) Relationship of IL-6 and MDA. (<b>B3</b>) Relationship of IL-6 and sampling times, number of infections, and infected bacteria. (<b>C1</b>) Relationship of IL-10 and SCC. (<b>C2</b>) Relationship of IL-10 and MDA. (<b>C3</b>) Relationship of IL-10 and sampling times, number of infections, and infected bacteria. * Indicated logarithm-transformation scale for SCC and IL-4. a,b,c and x,y,z letter differences indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.1, respectively. No (none infection); CNS (coagulase-negative staphylococci) included <span class="html-italic">S. chromogenes</span> and <span class="html-italic">S. haemolyticus</span>; Strep (streptococcal bacteria) included <span class="html-italic">S. agalactiae</span>, <span class="html-italic">S. dysgalactiae</span>, and <span class="html-italic">S. uberis</span>. The least-square means of IL-4, IL-6, and IL-10 of the model with the specified variables were used to describe in (<b>A3</b>,<b>B3</b>,<b>C3</b>).</p>
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