Pesticide production wastewater treatment by Electro-Fenton using Taguchi experimental design.

In this study, the electro-Fenton (EF) method was applied to remove total organic carbon (TOC) from the pesticide production wastewater containing tricyclazole (TC). Statistical Taguchi method was used to optimize the treatment performance. Analysis of variance (ANOVA) indicated that the polynomial regression model fitted experimental data with R2 of 0.969. The optimal conditions for eliminating 75.4% TOC and 93.7% TC were 0.2 mM of Fe2+, 990 mg/L of Na2SO4, 180 min of reaction time at pH 3 with 2.22 mA/cm2 of current density. The removal of TC present in the wastewater followed the first-order reaction kinetic model (R2 = 0.993); while that was the second-order kinetic model in the case of the TOC removal (R2 = 0.903). In addition, the experimental results and theory approaches (density functional theory and natural bond orbital calculations) also showed the C-N bond breaking and nitrate ions cleavage to ammonia. Acute toxicity of the pesticide wastewater after treatment (PWAT) on microcrustaceans showed that the treated wastewater still exhibited high toxicity against D. magna, with LC50 values of 3.84%, 2.68%, 2.05%, and 1.78% at 24 h, 48 h, 72 h, and 96 h, respectively.

Hyperspectral remote sensing image classification based on random average band selection and an ensemble kernel extreme learning machine.

Hyperspectral remote sensing technology can explore a lot of information about ground objects, and the information is not explored in multispectral technology. This study proposes a hyperspectral remote sensing image classification method. First, we preprocess the hyperspectral data to obtain the average spectral information of the pixels; the average spectral information contains spectral-spatial features. Second, the average spectral information is randomly band selected to obtain multiple different datasets. Third, based on ensemble learning and a kernel extreme learning machine, an ensemble kernel extreme learning machine is proposed. Finally, a hyperspectral remote sensing image classification model based on the ensemble kernel extreme learning machine is established. Experiments with two common hyperspectral remote sensing image datasets demonstrate the effectiveness of the proposed method.

Childhood Acute Poisoning at Haiphong Children's Hospital: A 10-Year Retrospective Study.

Introduction: Children are most often harmed by acute poisoning, which may cause disability or even death. This demonstrates the critical necessity for epidemiologic studies specific to each nation and area since they aid in developing plans for the prevention of acute poisoning. There are no data or outdated data on acute poisoning in children in Vietnam. This research would partly fill this existing gap and compare the trend with other places across the globe. Methods: A retrospective study was conducted in the 10-year period from 2012 to 2021 in Haiphong Children's Hospital, Vietnam. Results: There were 771 children hospitalized due to acute poisoning. Children in the 1-5-year-old group accounted for the highest rate, at 506 (65.6%). The mean age was 4.5 ± 4.1 years old. The male-to-female ratio was 1.2/1. Nonpharmaceutical chemicals were the most common agent in 331 cases (42.9%), including cleaning products 63 (19.0%), rat poison 60 (18.1%), and petrol 42 (12.7%). Medications were the second most common agent in 290 cases (37.6%), mostly paracetamol 60 (20.7%) and sedatives 40 (13.8%). There were 633 (82.1%) children exposed to poisons unintentionally. Conclusion: Children between the ages of 1 and 5 are more likely to be exposed to harmful substances. The most common agents were nonpharmaceutical chemicals followed by pharmaceuticals. Most incidents were inadvertent. Finally, our research may provide insights that public health authorities might use to plan practical actions.

The influence of economic and non-economic determinants on the sustainable energy consumption: evidence from Vietnam economy.

Maintaining ecological quality of energy use without compromising on economic growth has become the key research agenda of existing literature. Emerging economies are particularly facing this dual problem where they need to look in to the factors which impact sustainable energy consumption. The article, thus, aims to examine impact of economic and non-economic determinants on sustainable energy consumption in Vietnamese context. Factors such as industrialization, population growth, inflation, and employment rate are being considered as economic indicators and eco-innovation and political instability are being used as non-economic indicators. The study has taken secondary data from secondary sources such as Organization for Economic Co-operation and Development (OECD), the global economy, and World Development Indicators (WDI) from 1986 to 2020. The study has applied the Bayesian auto-regressive distributed lags (BARDL) model and the non-linear autoregressive distributed lag (NARDL) technique to check the association among variables. The results revealed that industrialization, population growth, inflation, employment rate, and eco-innovation have a positive linkage with SEC in Vietnam. The results also indicated that political instability has a negative association with SEC in Vietnam. In the light of results, it is obvious that government fiscal and monetary policies must be favorable to inflation so that sustainable energy can be introduced and started to consume. The study also conveys that the policymakers must take care of employment rate growth, for it can encourage sustaining energy consumption.

PCR-Based Detection and Genetic Characterization of Parainfluenza Virus 5 Detected in Pigs in Korea from 2016 to 2018.

This study applied a molecular-based method to detect parainfluenza virus 5 (PIV5) collected from 2016 to 2018 in nine provinces of Republic of Korea. We demonstrated that PIV5 was detectable in both serum and pooled organs at an average positive rate of 1.78% (99/5566). Among these, the complete genome sequence of 15,246 nucleotides was obtained for 12 field strains. Three out of the 12 strains had the lowest genetic identity (96.20-96.68%) among the 21 porcine PIV5 genomes collected in Germany, China, India, and Republic of Korea from 1998 to 2017. By analyzing a large collection of complete genome sequences of the structural protein-coding F and HN genes, this study proposed a classification of PIV5 into two lineages, 1 and 2, and identified that group 2.2.2 within sub-lineage 2.2 was substantially divergent. The evolution of two structural protein-coding genes was largely under purifying selection. A few codons (6/9 for the F gene, 7/8 for the HN gene) had elevated dN/dS values, which were loaded on internal branches and were predicted to be related to beneficial trait(s) of the virus.

A Multiplex PCR Method for Simultaneous Detection of Infectious Laryngotracheitis Virus and Ornithobacterium rhinotracheale.

To date, many fluorescence- and gel-based multiplex polymerase chain reaction (PCR) assays have been developed for the simultaneous detection of multiple infectious agents of respiratory disease in poultry. However, PCR assays are not available for other important emerging respiratory bacteria, such as Ornithobacterium rhinotracheale (ORT). We aimed to fill this gap by establishing a new duplex PCR method for the simultaneous detection of infectious laryngotracheitis virus (ILTV) and ORT. Multiplex primer design software was used to select the compatible multiplex primer pairs. It was determined that an annealing temperature of 65 °C and an initial concentration of 2.5 pmol/µL for each primer set were the most suitable conditions for multiplex PCR. The assay was confirmed to be specific, as it only detected the target pathogens, even in the presence of six non-target agents. The limit of detection was up to 103 copies/µL of template DNA for both ILTV and ORT. In the screening of 304 field samples, 23, 88, and 44 were positive for both ILTV and ORT, solely for ILTV, and solely ORT, respectively.

The role of public-private partnership investment and eco-innovation in environmental abatement in USA: evidence from quantile ARDL approach.

The current research investigates the role of public-private partnership investment (PPPI) and ecological innovation (ECO) along with economic growth on the environmental abatement (i.e., carbon dioxide emission, particulate matters 2.5) in the USA. Quantile autoregressive lagged (QARDL) method was employed during the study period of 1990-2015. The study findings confirm that under long-run estimation, GDP and PPPI are causing more environmental abatement in the form of CO2 emission and haze pollution like PM2.5. The factors like ecological innovation and GDP2 are playing their role towards lowering the CO2 emission and PM2.5 under different quantiles. Furthermore, it is observed that under short-run estimation, past values of the carbon emissions and PM2.5 have their significant and positive relationship with their current values. Besides, the findings through Wald test estimation confirm that parameter constancy of the speed of adjustment parameter is rejected at 1% significance level for the CO2 emission and haze pollution like PM2.5 in USA. Besides, present study also provides some policy implications.

How temperature shocks impact energy poverty in Vietnam: mediating role of financial development and environmental consideration.

This paper evaluates the energy poverty of Vietnam by mediating the role of financial development and environmental considerations. Across the globe, billions of individuals live in fuel poverty, failing to access inexpensive and sustainable energy, which is necessary for long-term development. An elevation in power consumption due to an overall increase in heat and short periods of extreme heat exacerbates global warming. The goal of this research is to look at how climate change is affecting energy poverty in Vietnam. This finding (1) demonstrates that temperature shocks have a positive and quantitative impact. (2) The same may be said for "poor income/high cost" figures, which include information on power rates. Similarly, if households use the same amount of power but spend less on other items, the influence will not raise their electricity use. (3) Thermal shocks have been shown to reduce agricultural output in studies. During seasons of low rainfall, for example, higher evaporation and plant water demand can worsen drought and raise total irrigation expenses. Labor productivity is also affected by rising temperatures, particularly in weather-sensitive industries like agriculture. As a result, heat shocks will lower agricultural revenues, worsening energy poverty. Surprisingly, overall income appears to be a little mitigating influence. This might be owing to widespread underreporting of stated income, particularly among persons who rely on agriculture for their livelihood.

SME financing role in developing business environment and economic growth: empirical evidences from technical SMEs in Vietnam.

Distinguishing the significance of business environments for technical small and medium-sized enterprises (SMEs), this study examines the connection between business environments, GDP growth, and SMEs' financing choices in Vietnam. The study considered the agency theory as a theoretical base to explain how information asymmetry between SMEs and lenders influences SMEs' financing choices and encompasses the effects on business environment and GDP growth of Vietnam. For this binary logistic regression, text is applied. Global Entrepreneurship Monitor and World Bank data were analyzed. The findings of the study are robust and showed that SME financing (e.g., formal and informal) under the financial infrastructure and tax regulation may enhance formal credit choice and reduce informal credit choice. This enhances the depth in the business environment of technical SMEs and found significant effects on GDP growth. For the first time, this research examines the impact of information asymmetry and agency theory on restaurant financing choices. The research has significance for industry practitioners and governments interested in SMEs' financial viability. On the recent topicality, study also presents policy implications for key stakeholders.

Determinants of health-seeking behaviors among middle-aged women in Vietnam's rural-urban transition setting.

Introduction: The purpose of this study is to identify the health status and healthcare utilization factors associated with middle-aged women in the rapid urbanization context of Vietnam. Methods: A cross-sectional study with a systematic random sampling technique was conducted in Hung Yen city. A systematic random sampling technique was used to select a sample size of 362 middle-aged women. The collected data included socioeconomic characteristics, health issues, health service utilization, and social support for women in both urban and rural areas. Multivariate regression models were used to determine factors associated with health service utilization and the number of inpatient/outpatient visits. Results: Among 362 participants, the main chronic diseases were diabetes (12.8%), cardiovascular diseases (11.3%), and migraines (9.5%). The proportion of using inpatient and outpatient services among middle-aged women was relatively high (35.8 and 61%, respectively). Women having more support from family and friends were less likely to seek healthcare. Living in rural areas significantly increased the number of inpatient treatments. Regarding health service utilization, the percentage of people using outpatient treatment services accounted for 61.0%, while using inpatient treatment services was reported as 35.8%. The average number of outpatient and inpatient visits per participant were 1.3 and 0.9, respectively. Conclusion: This study revealed a relatively high rate of using healthcare services among women at midlife in a rapidly industrializing city in Vietnam. Screening programs should be implemented for early detection and treatment of chronic diseases in middle-aged women, especially for diabetes. Communication strategies should be adapted to raise awareness of rural women about regular health checkups, and counseling services of healthcare providers should be strongly reinforced. Lifestyle interventions and health promotion programs involving social support should be implemented to improve wellbeing and healthcare-seeking behaviors among middle-aged women.

Iron ore identification method using reflectance spectrometer and a deep neural network framework.

In the first selection stage of iron ore, the ore classification accuracy plays a decisive role in subsequent work. Therefore, how to identify iron ore quickly and accurately is an important task. Traditional chemical, physical and manual identification methods have the disadvantages of high costs and high time consumption. This research proposes a new iron ore identification method, that combines deep learning with visible-infrared reflectance spectroscopy to establish an iron ore classification model. We collected iron ore samples from the Anshan iron ore area and measured the spectral data with a spectrometer. Then, a deep neural network framework is proposed based on the convolution neural network and the improved extreme learning machine algorithm, and an iron ore classification model is established based on the framework. The results show that the proposed model can effectively identify the types of iron ore, and the overall accuracy reaches 98.11%.

Serological and Molecular Characterization of Avian Metapneumovirus in Chickens in Northern Vietnam.

Avian Metapneumovirus (aMPV) is a causative agent of respiratory disease complex in turkeys and chickens that has recently been detected in Vietnam. Due to its novelty, this study was conducted to elucidate the distribution of aMPV in several provinces in northern Vietnam. By the application of Enzyme-Linked Immunosorbent Assay (ELISA) and nested Reverse Transcription-Polymerase Chain Reaction (RT-PCR), this study demonstrated the circulation of aMPV in 12 out of 14 cities/provinces with positive rates of 37.6% and 17.2%, respectively. All nested RT-PCR positive samples were aMPV subgroup B. By pairing the detection results with age groups, it was observed that aMPV infections occurred in chickens of all ages. Additionally, by genetic characterization, aMPV strains were demonstrated to not be attenuated vaccine viruses and to belong to at least two genetic clades. Overall, the obtained results provided insights into the prevalence of aMPV and indicated a greater complexity of respiratory diseases in chickens in Vietnam.

The Interdependence of Blood Pressure and Glucose in Vietnam.

INTRODUCTION: Modelling of associations of systolic blood pressure (BP) and blood glucose (BG) with their explanatory factors in separate regressions treats them as having independent biological mechanisms. This can lead to statistical inferences that are unreliable because the substantial overlap in their etiologic and disease mechanisms is ignored. AIM: This study aimed to examine the relationship of systolic blood pressure (BP) and blood glucose (BG) with measures of obesity and central fat distribution and other factors whilst taking account of the inter-dependence between them. METHODS: Participants (n = 14706, 53.5 % females) aged 25-64 years were selected by multi-stage stratified cluster sampling from eight provinces each representing one of the eight geographical regions of Vietnam. Measurements were made using the World Health Organization STEPS protocols. RESULTS: Structural modelling identified direct effects for BG (men P = 0.000, women P = 0.029), age (men P = 0.000, women P = 0.000) and body mass index (BMI) (men P = 0.000, women P = 0.000) in the estimation of systolic BP, and for systolic BP (men P = 0.036, women P = 0.000) and waist circumference (WC) (men P = 0.032, women P = 0.009) in the estimation of BG. There were indirect effects of age, cholesterol, physical activity and tobacco smoking via their influence on WC and BMI. The errors in estimation of systolic BP and BG were correlated (men P = 0.000, women P = 0.004), the stability indices (men 0.466, women 0.495) showed the non-recursive models were stable, and the proportion of variance explained was mid-range (men 0.553, women 0.579). CONCLUSION: This study provided statistical evidence of a feedback loop between systolic BP and BG. BMI and WC were confirmed to be their primary explanatory factors. Saturated fat intake and physical activity were identified as possible targets of intervention for overweight and obesity, and indirectly for reducing systolic BP and BG. Harmful/hazardous alcohol intake was identified as a target of intervention for systolic BP.

Dynamical Strain-Driven Phase Separation in Flexible CoFe2O4/CoO Exchange Coupling System.

Epitaxial CoFe2O4(CFO)/CoO bilayers were fabricated by pulsed laser deposition on flexible muscovite mica substrate. Samples with different CFO thicknesses were employed to study the phenomenon of exchange bias involving strongly anisotropic ferromagnet. Magnetic measurements exhibited great enhancement in the features of exchange bias. Raman and X-ray absorption spectroscopies indicated that a new phase emerged within the CFO layer because of the cation charge redistribution in CFO layer under bending, which in turn gave rise to anomalous hysteresis loops exhibited in the bent bilayers. These results provide a fundamental understanding about the mechanisms of exchange bias prevailing in these bilayers and call attention to the implementation of spintronic devices using flexible heterostructures such as the present CFO/CoO bilayers.

Mechanically tunable exchange coupling of Co/CoO bilayers on flexible muscovite substrates.

The employment of flexible muscovite substrates has given us the feasibility of applying strain to heterostructures dynamically by mechanical bending. In this study, this novel approach is utilized to investigate strain effects on the exchange coupling in ferromagnetic Co and anti-ferromagnetic CoO (Co/CoO) bilayers. Two different Co/CoO bilayer heterostructures were grown on muscovite substrates by oxide molecular beam epitaxy, with the CoO layer being purely (111)- and (100)-oriented. The strain-dependent exchange coupling effect can only be observed on Co/CoO(100)/mica but not on Co/CoO(111)/mica. The origin of this phenomenon is attributed to the anisotropic spin re-orientation induced by mechanical bending. The strain-dependent magnetic anisotropy of the bilayers determined by anisotropic magnetoresistance measurements confirms this conjecture. This study elucidates the fundamental understanding of how magnetic exchange coupling can be tuned by externally applied strain via mechanical bending and, hence, provides a novel approach for implementing flexible spintronic devices.

Error analysis for image-based rendering with depth information.

We propose a new approach to quantitatively analyze the rendering quality of image-based rendering (IBR) algorithms with depth information. The resulting error bounds for synthesized views depend on IBR configurations including the depth and intensity estimate errors, the scene geometry and texture, the number of actual cameras, their positions and resolution. Specifically, the IBR error is bounded by the summation of three terms, highlighting the impact of using multiple actual cameras, the impact of the noise level at the actual cameras, and the impact of the depth accuracy. We also quantify the impact of occlusions and intensity discontinuities. The proposed methodology is applicable to a large class of common IBR algorithms and can be applied locally. Experiments with synthetic and real scenes show that the developed error bounds accurately characterize the rendering errors. In particular, the error bounds correctly characterize the decay rates of synthesized views' mean absolute errors as O(lambda(-1)) and O(lambda(-2)), where lambda is the local density of actual samples, for 2-D and 3-D scenes, respectively. Finally, we discuss the implications of the proposed analysis on camera placement, budget allocation, and bit allocation.

Comparison of Shear Strength of Metal and Ceramic Orthodontic Brackets Cemented to Zirconia Depending on Surface Treatment: An In Vitro Study.

OBJECTIVES: Due to the high demand for all-ceramic restorations, monolithic zirconia restorations are nowadays frequently used. With the demand for adult orthodontic treatments, orthodontists need to be mindful of the quality of their brackets bonding to this type of material, as it requires special conditioning. This study aimed to compare different surface treatments of zirconia when bonding metal or ceramic orthodontic brackets. The objectives are to compare the shear bond strength; the amount of adhesive remaining on the surface of the material; the incidence of adhesive, cohesive, and mixed failures; and the occurrence of zirconia fractures. MATERIALS AND METHODS: Forty monolithic blocks of zirconia of a diameter of 10 mm and a length of 10 mm were prepared and randomly divided into two groups (n = 20): metallic or ceramic brackets. Each group was subsequently divided into two subgroups (n = 10) depending on the surface preparation (laser treatment or airborne particle abrasion): SMB (airborne particle abrasion, metal bracket), SCB (airborne particle abrasion, ceramic bracket), LMB (laser; metal bracket), and LCB (laser, ceramic bracket). The samples were tested for shear bond strength using a universal testing machine. The adhesive remnant index and the occurrence of zirconia fractures and different types of failures were assessed by optical and electron microscopy. STATISTICAL ANALYSIS: Results were analyzed using analysis of variance. RESULTS: The differences were significant between the metallic (SMB, LMB) and ceramic (SCB, LCB) bracket groups with regard to shear bond strength, with respectively 23.29 ± 5.34 MPa, 21.59 ± 4.03 MPa, 20.06 ± 4.05 MPa, and 17.55 ± 3.88 MPa. In terms of surface treatment, no statistical differences were found between the different groups. CONCLUSION: Metal brackets have a greater bond strength than ceramic brackets when cemented to zirconia. The surface treatment of zirconia surface has no influence on the shear bond strength.