Miracle-dz/UniFAR-FTUs huggingface dataset:
Environmental fate of alkylphenol and alkylphenol ethoxylates

The present paper aims to review the fate of alkylphenol and alkylphenol ethoxylates(APEOs) in the environment.As is known,APEOs are widely used as nonionic surfactants,and are widely found in sewage treatment plants(STP) or in other environmental pollution control practices.However,the metabolites of APEOs such as nonylphenol(NP) and octylphenol(OP),together with the short chain APEOs such as NPEO1,NPEO2 and NPEO3,are more toxic alkylphenols,and the break-up of their metabolites proves rather slow and even persistent.High Kow values of the said small metabolites determine that they will be partitioned effectively into sediments or biophase when discharged from the STP.Therefore the high concentration in water phase,combined with their high partition coefficients, will provide a significant reservoir in various environmental compartments.In the air,for example,levels of NP range from 2.2 ng·m~(-3) to 70 ng·m~(-3) with the seasonal trends was observed.Concentrations of APEOs metabolites in treated wastewater effluents in the Germany range from 0.025 μg·L~(-1) to 0.77 μg·L~(-1),while in Spain up to 343 μg·L~(-1). The concentrations prove to range from 0.006 7 μg·L~(-1) to 644 μg·L~(-1) in surface waters,and relatively high concentrations were even found in drinking water.Levels in sediments reflect the high partition coefficients with concentrations reported ranging from 0.1 μg·kg~(-1) to 13,700 μg·kg~(-1). In soil,the concentrations of APEOs metabolites can even reach 2.72 μg·g~(-1) due to the large amount of discharge of sludge from STPs.Aquatic organisms and hydrophytes were also found containing up to 38 μg·g~(-1) NP and 80 μg·g~(-1) NPEO1,though APEOs degrade faster in the water column than in the sediment.Aerobic conditions facilitate further biotransformation of APEOs metabolites than anaerobic conditions.So far as we know,it is possible to accelerate the degradation of APEOs metabolites by increasing the temperature.
Is Serum Lactate Dehydrogenase Level a Good Indicator for Diagnosis of Neonatal Birth Asphyxia?

Objective: Neonatal birth asphyxia is a serious health condition. In developing countries, when neonates are referred to Neonatal Intensive Care Units (NICU), sometimes their results for Arterial Blood Gas (ABGs) measurements collected from their umbilical cord blood do not get provided to the NICU. Hence, neonatologists need a proxy parameter to help them detect birth asphyxia. Study aimed to evaluate whether there is an association between umbilical cord ABGs, including pH, PO2, PCO2 and HCO3, and serum Lactate Dehydrogenase (LDH) levels in neonates with birth asphyxia. If there is association, the neonate’s serum LDH levels may be used as a proxy for umbilical cord ABG measurements in identifying neonatal birth asphyxia. Methods: In a cross-sectional prospective study, we evaluated 100 neonates, and their associated mothers, who were admitted to our NICU and were suspected of having birth asphyxia during 2018. Neonates that had abnormal sonography report before birth or were diagnosed with underlying complications such as cardiac or metabolic complications were excluded from the study. Results: Pearson correlation showed serum LDH levels in neonates had a negative correlation with pH (r=-0.460, p=.000) and HCO3 (r=-0.268, p=.008) and a positive correlation with PaCO2 (r=0.276, p=.006) levels from umbilical cord arterial blood but did not associate with maternal age or other characteristics. ANOVA showed from stratified pH levels only pH<7.10 associated with serum LDH levels. Conclusion: Since acidosis (pH<7.10), which presents with reduced blood pH levels, is associated with increased serum LDH levels, in the absence of umbilical cord ABG measurements, serum LDH levels may be a good indicator for diagnosing neonatal birth asphyxia.
Nonsmooth optimization: conditioning, convergence and semi-algebraic models

Variational analysis has come of age. Long an elegant theoretical toolkit for variational mathematics and nonsmooth optimization, it now increasingly underpins the study of algorithms, and a rich interplay with semi-algebraic geometry illuminates its generic applicability. As an example, alternating projections – a rudimentary but enduring algorithm for exploring the intersection of two arbitrary closed sets – concisely illustrates several far-reaching and interdependent variational ideas. A transversality measure, intuitively an angle and generically nonzero, controls several key properties: the method’s linear convergence rate, a posteriori error bounds, sensitivity to data perturbations, and robustness relative to problem description. These linked ideas emerge in a wide variety of computational problems. Optimization in particular is rich in examples that depend, around critical points, on “active” manifolds of nearby approximately critical points. Such manifolds, central to classical theoretical and computational optimization, exist generically in the semi-algebraic case. We discuss examples from eigenvalue optimization and stable polynomials in control systems, and a prox-linear algorithm for large-scale composite optimization applications such as machine learning. Mathematics
Attention-based 3D convolutional networks

ABSTRACT Being simple and portable, the three-dimensional (3D) convolution network has achieved great success in action recognition. However, its applicability in spatiotemporal feature learning is not evident. This study aims to improve the 3D convolution model and propose a flexible and significant attention module for the extraction of spatiotemporal information. Our first contribution is a self-additive attention module and a feature-based attention module, which is a simple yet effective method for measuring the spatiotemporal importance of a video. In self-additive attention, the spatiotemporal fusion between the frames is defined intuitively, where we set equivalent weights between the video frames manually. Further, the feature-based attention that is trained adaptively by the 3D convolution process combines the spatiotemporal information from the feature map. This study also focuses on attention fusion in learning the spatiotemporal characteristics for 3D convolution. The proposed attention fusion method exhibits outstanding performance in comparison to the recently developed attention modules and the latest 3D networks when applied to the data from the UCF101 and HMDB51 datasets. The experiments show consistent improvements, affirming the robustness of the method in extracting spatiotemporal attention.
FERMENTASI JERAMI PADI MENGGUNAKAN Trichoderma AA1 DAN PENGARUHNYA TERHADAP SUHU, pH DAN NILAI KECERNAAN IN VITRO

This study aims to determine the effect of the fermentation time of paddy straw using Trichoderma AA1 on temperature, pH and digestibility value of fermented paddy straw. This study used a a one-way completely randomized design. The treatment is the length of fermentation consisting of 0, 7, 14 and 21 days. Each treatment was repeated 4 times. Trichoderma AA1 solution was prepared by incubating of 2 g Trichoderma AA1 inoculum in 200 ml of a solution containing 2 g of molasses on a rotary shaker for 24 hours. The medium was prepared by mixing of 1 kg chopped dry paddy straw with 30 g of rice bran, 20 g (NH4)2SO4 and some aquades until the water content became 65%. Fermentation is done by mixing a solution of Trichoderma AA1 and medium. The fermentation culture is placed into an aerobic bioreactor and then incubated for 21 days. Measurement of temperature and pH as well as sampling of fermented paddy straw was carried out on days 0, 7, 14 and 21. The samples were dried at 70oC for 12 hours. In vitro digestibility measurement using the gas-test method. The results showed that the length of time of fermentation had a highly significant effect (P≤0.01) on the increase in temperature and pH of fermentation. Peak of temperature and pH occurred at 7 days of fermentation. The in vitro digestibility of dry matter (IVDDM) and in vitro digestibility of organic matter (IVDOM) showed non-significantly difference (P>0.05). This study concluded that the best time for fermenting paddy straw using Trichoderma AA1 was 7 days, but it not-significantly affect on the IDDM and IDOM.
Power, Control And Resistance In "The Factory That Time Forgot"

This paper contributes to a developing body of literature which questions the claim that the ‘factory of the future’ is a total institution in which self-subordination through ‘new wave management’ is virtually inescapable. It examines the experience of frustrated management efforts to re-engineer working practices, mainly at the point of production, in response to repeated corporate-driven initiatives designed to implement a range of ‘lean manufacturing’ initiatives at ‘Northern Plant’, a pseudonym. Our findings illustrate how workers can and do employ a variety of individual and collective forms of resistance involving dissembling co-operation with change initiatives whilst maintaining a distance from them. In accounting for resistance, we note the significance of market conditions but focus primarily upon the importance of workers’ identification with practices that had been established earlier when management were content to indulge self-managing patterns of work in return for securing required levels of output.
Fuel-Cell Vehicle Fuels: Evaluating the Reforming Performance of Gasoline Components

Fuel cell vehicles (FCVs) are an emerging transportation technology, with a potential to provide very low vehicle emissions and significant improvements in fuel efficiency. The choice of a fuel for FCVs must consider several critical issues, including the availability of a distribution and storage infrastructure, manufacturing cost and capital requirements,energy efficiency, and performance. Gasoline, one of the candidate fuels, is noteworthy not only for its existing infrastructure, but because it has the possibility of usage for both FCVs and conventional internal combustion engines. Gasoline consists of different types of hydrocarbons, including paraffins, naphthens, olefins and aromatics - - with carbon numbers distributed over a wide range. Gasoline also contains a variety of sulfur compounds and selected additives in small amounts. , In some cases gasoline also contains oxygenates such as MTBE and ethanol. To develop the optimal fuels and associated catalysts for FCVs it is necessary to understand the effects of these constituents on FCV fuel processing. Reforming performance has been evaluated with a variety of gasoline components, as well as conventional gasoline provided by refineries. Tests of initial reformer catalyst activity and durability at auto-thermal reforming (ATR) conditions have been conducted. Results showed similar reforming performance among most hydrocarbon components except aromatics. The addition of MTBE improved reforming reactivity. Both aromatics and sulfur compounds caused rapid deterioration of reforming activity, while the magnitude of the reactivity loss varied between different aromatic compounds.
Antifungal Activity of Selected Medicinal Plants Used by Indigenous People of Assam in India to Treat Onychomycosis

ABSTRACT This study evaluated the antifungal activity of the traditional medicinal plants used by agricultural workers to treat onychomycosis. Of all tested plants, methanol leaf extracts of Croton tiglium possessed antifungal activity against many isolates. Azulene, 9-Hexadecenoic acid, Octadecane, and 3-ethyl-5-(2-ethylbutyl) were the major antifungal compounds identified by GC-MS/MS. Broad ranges of antifungal properties of C. tiglium makes it a potential candidate for the treatment of onychomycosis without health hazard.
Using Q method to investigate the influence of inclusive water, sanitation and hygiene (WASH) on tourists’ hotel choice in Fiji

ABSTRACT Consequent to the COVID-19 pandemic and the reopening of international borders, tourists are increasingly concerned about sanitation and hygiene practices in tourism destinations. There is an evident need to investigate how the COVID-19 pandemic has transformed tourist choices. This paper investigates the perceptions of hotel staff and tourists on the influence of inclusive water, sanitation, and hygiene (WASH) practices on tourists’ hotel choices in Fiji. This study explores the value of Q-methodology through a case study of Fiji with data collected from 80 hotel staff and 75 tourists. The findings demonstrate that Q-methodology is effective in identifying three tourist types who have a strong interest in WASH impacts and aspects of their safety including concerns about how their visit impacts the local community and environment. Similarly, the Q method was useful in identifying four perspectives of staff understanding on WASH impacts that are significant to tourists’ choice of hotel. The findings suggest a significant potential for hotel operators to enact socially inclusive WASH practices to enhance their appeal in the ‘new normal’.
Performance measurement and management practices of on-site activities in industrialized housebuilding

Abstract Measuring the performance of construction site processes is an essential for the continuous improvement in building production efficiency. However, little is known about how this is done by industrialized housebuilding (IHB) companies. The purpose of this paper was to extend the body of knowledge of IHB to on-site performance measurement and management (PMM), thereby identifying reference practices and potential areas for improvement in order to prepare the field for the further development of significant performance management systems (PMS). A multiple case study by means of semi-structured interviews with company managers of eight companies within the IHB sector from three Central European countries has been conducted. The results show that the companies, to a greater or lesser extent, collect data on: customer satisfaction, environmental protection and CO2 emissions, operating efficiency, productivity, quality and work safety. The data can be used to perform performance measurements that provide feedback on these criteria. Reference practices of performance measurements and their benefit are identified. Digital tools are increasingly being used for data collection on construction sites, although paper-based tools such as site and working time reports are still in use. The findings establish a basis for the further development of PMS within the IHB sector.
THE INFLUENCE OF OBESITY PREDICTORS TOWARD PERCENTAGE BODY FAT AMONG ADOLESCENCES IN KELANG, SELANGOR

Obesity among adolescents had becoming a global epidemic in recent years. It was a challenging health problem with the increasing prevalence of obesity for the group. Prevalence of obesity was not considered a health threat to humans but also increased the economic burden on families and countries. Obesity was primarily caused by an increase in body fat percentage due to the energy imbalance between calorie intake and consumption. The effects of this energy imbalance were causing the accumulation and excess of body fat. There were various factors that predict obesity such as self-efficacy, motor skills, school environment, media, community, family, nutrition, sedentary behaviour, health knowledge, physical fitness and socioeconomic status. Complex risk factors make some obesity interventions difficult to achieve successfully and most of these programs failed. The theory or model of health promotion and disease prevention programs considered the importance of the various factors, health issues that need to be addressed, and the populations involved before any preventive measures were planned and implemented. Therefore, this study aimed to determine the effect of obesity predictor factors on boys and girls aged 13 to 14 in Kelang, Selangor. This quantitative study involved 150 sample students from Seri Andalas National Secondary School, Klang, Selangor (L = 32, P = 48) and the Rantau Panjang National Secondary School, Klang, Selangor (L = 30, P = 40) through simple random sampling techniques. Predictors of obesity factors and body mass index were used to collect data. Descriptive and inferential statistics were used for data analysis. Multivariate regression analysis found that all predictor factors are significant for body fat percentage, with eating behaviour was the primary predictor. As a result, aspects of healthy eating need to specifically focus on adolescents and children in an effort to address the prevalence of obesity.
Customer satisfaction and service quality towards Naturals PARLOUR, Chennai

In today's competitive environment delivering high quality service is the key for a sustainable competitive advantage. Customer satisfaction does have a positive effect on an organization's profitability. Rabia Jahani Farzana, G and Banupriya (2015), People are leading very stressful life with many tensions. There are many ways to reduce stress such as holidays, recreation, and entertainment and so on. One of the method that can relieve people from stressful life and give them a healthy lifestyle is the science of treatment (SPA). That is why new spas have sprung up like mushrooms in the cities and are becoming famous attractions. The main objective of the study is to find the customer satisfaction and service quality towards Naturals parlour in Chennai. This research followed descriptive research. The universe of the population includes the respondents who are the customer of naturals, located at M.K. P Nagar and Maduravoyal. The major findings of the study are the satisfaction level of customers are moderate with respect to variety of service and ambience, response and charges with the mean value from 2.94 to 3.18. It is suggested that Natural parlour can improve by keeping all brand availability of services, so that they can improve their satisfaction level towards Naturals parlour.
URBAN LAYOUT FOR BUILDING SOLAR OPTIMIZATION AND OUTDOOR COMFORT BALANCE: NEIGHBORHOOD STRATEGY IN MEDITERRANEAN CLIMATE

The urban configuration in the Mediterranean area, which has noticeable solar radiation and significant thermal oscillation, is one of the factors that affect the microclimate and the urban heat island phenomenon of the cities located in that zone. To contribute to the improvement of urban comfort, this work presents an experimental methodological proposal for the analysis and multicriteria optimization of performance indicators using a parametric workflow through Grasshopper. This workflow can lead to the development of a set of environmental design criteria as support tools in the design of the urban configuration. The methodology is based on the quantification of two parameters on the analysis and management of daylight in interior spaces by means of dynamic metrics and, on the other hand, on the evaluation of hygrothermal conditions and the urban heat island effect, which affect both the daytime comfort of passersby and the nighttime comfort of dwellings. This study considers the most typical variables of urban layout, both morphological and material. The case study analyzed is located in the city of Seville (Spain), which has a significant percentage of its contemporary buildings without a suitable adaptation to local climate conditions. The results obtained from the case study prove the potential of the proposed methodology to evaluate and optimize lighting and thermal performance at the neighbourhood scale. Thus, it provides urban planners with a powerful decision support tool for both urban expansion and urban renewal.
FREQUENCY OF SPREAD OF BRONCHIAL ASTHMA AMONG MIDDLE-AGED PEOPLE AND EFFECTIVENESS OF TREATMENT. Almaty, City Clinical Hospital No. 1

Bronchial asthma (BA) is a global problem. The incidence of bronchial asthma is growing all over the world. It is among the top ten noncommunicable chronic diseases, which are the main cause of death among people, reducing life expectancy by 6.6 years for men and 13.5 years for women.
Electromagnetic and Thermal Analysis of Interior Permanent Magnet Motors Using Filled Slots and Hairpin Windings

This paper analyzes the electromagnetic and thermal design of interior permanent magnet motors using filled slots and hairpin windings for electric vehicle applications. Two models of ∇ shape of the interior permanent magnet motors have been proposed to evaluate the temperature distribution and cogging torque performance. A narrow opening slot of the interior permanent magnet of 48 slots/8 poles with the filled winding has been designed to investigate the electromagnetic torque because the cogging torque depends on opening stator slots. A parallel–rectangle slot of the interior permanent magnet with the hairpin winding has been also implemented with finite element analysis to evaluate their performances. Normally, the slot opening of the interior permanent magnet stator equals the slot width, it is greater than the size of hairpin windings, and the cogging torque is increased significantly with a bigger slot opening. The main advantage of the hairpin winding design is the high slot fill factors. Hence, the lower the current density, the higher torque, and efficiency are, than the normal design with the same geometry parameters. To improve the cogging torque due to the wide slot opening, the step–skew rotor slices have been arranged to minimize the torque ripple with different skewing angles.
SAR image segmentation with combined Bayes’ rule, GMTRJ, and EM algorithms

ABSTRACT This study analyses the roles of all the classes in the segmentation procedure, and aims to improve the segmentation accuracy of synthetic aperture radar (SAR) images. Accordingly, weight variables of all classes for SAR images are defined and incorporated into the segmentation model by Bayes’ rule and geometric partition tessellation. In addition, the Generalized Multiple-Try Reversible Jump (GMTRJ) and expectation maximization (EM) algorithms are designed to obtain the values of weight variables and the optimal segmentation by simulating the segmentation model. The greater the value of the weight variable, the more important the role of its class. The proposed approach can automatically determine the classes’ roles in the segmentation procedure and segment SAR images accurately and quickly. Finally, the proposed and comparison approaches are tested on SAR images, and the results fully demonstrate the effectiveness of the proposed approach.