Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding how organizational environments affect food intake among employees in South Korea

Purpose: Previous studies have highlighted that the nutritional behaviors among South Korean workers are far from ideal. This study examined the organizational influences affecting the eating practices of office workers in South Korea. Methods: We conducted in-depth interviews with 22 office workers at 12 companies in South Korea. The interviewer inquired about the employees’ daily routines on food and beverage intake. The various factors that influence their food choices in their work environments were also explored. The interviews were transcribed and then analyzed using a content analysis. Results: A framework analysis revealed 7 key recurring themes, and these were grouped under three levels: team-, company-, and corporate group-levels. First, team dinners are core social events for all the workers and they tend to include high-caloric food and alcoholic beverages. The frequency of team meals and the food associated with them depend on various team characteristics such as gender composition, the nature of a team’s work and the team leaders’ emphasis on group meals. Second, the company’s policies and practices regarding budget allocation for team meals and subsidies for cafeteria meals affect the workers’ food intake practices. In addition, the physical environment of the worksite cafeterias can influence the choices of foods. Third, various corporate group policies that were not designed to target food intake had additional positive effects on the workers’ eating behaviors. Conclusion: This study provides important insights into the broader organizational influences on the food consumption of employees in their workplace. These insights can be used to design and implement more effective intervention strategies for improving the nutritional behaviors of office workers.
IMPACT OF PLANTING DENSITY, NITROGEN AND POTASSIUM FERTILIZER LEVELS ON YIELD AND QUALITY OF SUGAR BEET

Two field experiments were carried out at the experimental farm (Ghazala Village), Faculty of Agriculture, Zagazig University, Sharkia Governorate, during 2016/2017 and 2017/2018 seasons to study the influence of three planting densities, (28000, 35000 and 46666 plants/fad.) three levels of N fertilizer (80,100 and 120 kg/fad.) and two levels of potassium fertilizer (24 and 48 kg k2O/fad.) on yield and its attributes as well as quality of sugar beet grown in clay soil. Results of combined analysis illustrated that, decreasing planting density from 46666 to 35000 or 28000 plants/ fad. , significantly increased root length, root diameter and fresh root weight g/plant; on the other hand the highest planting density (46666 plants/fad.) produced higher sucrose, extractable sugar percentages, sugar and recoverable sugar yields/fad. , than low or medium densities. Raising N fertilizer levels significantly affected yield and its attributes as well as quality of sugar beet. Where, the results of the combined analysis indicated that, each increment of nitrogen fertilizer level from 80 up to 120 kg N/fad. , cm was accompanied with a significant increase in root length, root diameter, fresh root weight/plant, root and recoverable sugar yields/fad. , but significantly decreased sucrose (%). Data of combined analysis also revealed that application of 48 kg K2O/fad. , significantly increased root yield attributes i.e., root length root diameter (cm), fresh root weight g/plant, sucrose, extractable sugar percentages, as well as, root and recoverable sugar yields ton/fad. , compared with supply of 24 kg K2O/fad. Interactions between the studied factors (according to the combined analysis) indicated that the highest root yield (ton/fad.) was achieved when sugar beet was sown with the highest plant density of 46666 plants/fad. , and fertilized with 120 kg N/fad. As well as, the highest value of root diameter (cm) was achieved under the application of 120 kg N/fad. , and addition of 48 kg K2O/fad. , while, the interaction between planting densities and potassium fertilizer levels had no significant effects on all studied traits.
Antidiabetic Effects of Soluble Dietary Fiber from Steam Explosion-Modified Black Soybean Hull in Low-Dose Streptozotocin-Induced Type 2 Diabetic Mouses

This paper studies the antidiabetic effects of soluble dietary fiber (SDF) from steam explosion-modified black soybean hull in low-dose streptozotocin- (STZ-) induced type 2 diabetic mouses. Male C57/BL6 mouses were divided into 4 groups: control (nondiabetic, no SDF intake), model (diabetes only), metformin (metformin: 100 mg/kg body weight), and SDF (SDF: 600 mg/kg body weight). Four weeks post-SDF treatment, treatment of SDF decreased the weight gain of diabetic mouses, normalised the blood glucose level, and reduced the serum cholesterol, serum insulin, leptin, glucagon-like peptide, total cholesterol, triglyceride, low-density lipoprotein cholesterol, arteriosclerosis index, aspartate aminotransferase activity, and malondialdehyde. It also increased high-density lipoprotein cholesterol, adiponectin, glycopeptide peroxidase, superoxide dismutase activity and repaired the pancreatic injury of the diabetic mouses. Our research results show that SDF has the potential for use in type 2 diabetes treatment.
TAX INCENTIVES AND FOREIGN DIRECT INVESTMENT ELATIONSHIP IN THE EAST AFRICA COMMUNITY PARTNER STATES

The relationship between tax incentives and Foreign Direct Investments (FDI) isone of the unresolved issues in public finance. The existing studies on theeffectiveness of tax incentives in attracting foreign investors differ depending onjurisdiction of research and the methodological approach employed. This studywas to establish the relationship between tax incentives and FDI in East AfricaCommunity Partner States. A panel descriptive study design was used todetermine the relationship between tax incentives and foreign direct investment inEast Africa Community Partner States, which included Tanzania, Rwanda,Kenya, Burundi, and Uganda. The study used panel secondary data, whichcovered a period of 16 years from 2002 to 2017. The study revealed that taxholidays and period of losses carried forward did not have statistically significantinfluence on FDI inflow. However, investment allowances had a positivestatistically significance influence on and FDI inflow in EAC. The studyconcluded that the investment allowance had a significant influence on FDIinflows among the East African community partner states. The studyrecommended that the leadership of East Africa community partner states shouldencourage use of investment allowances to attract FDI. The study alsorecommended that tax holidays and period of losses carried forward should not beused as a means of attracting FDI since the empirical evidences shows that the twoare not significant in attracting FDI.
Oxidative stabilization of corn oil with spinach extract

The present study was aimed to analyze the antioxidant activity of spinach (Spinacia oleracea) extract in oxidative stabilization of refined, bleached and de-odorized (RBD) corn oil (CO). Corn oil was supplemented with three different concentrations 600, 1200 and 1800 ppm of methanolic spinach extract and then stored at 25oC and 60oC. Different oxidation measuring parameters such as peroxide value (PV), free fatty acid (FFA) value, iodine value (IV), conjugated dienes (CD), conjugated trienes (CT) and para-anisidine value (PAV) were examined. The potency of spinach extract as natural antioxidant was found to be as effective as the synthetic antioxidants BHA and BHT used as standards and highest stabilization was observed in the order CO-1800>CO-1200>CO-BHT> CO-BHA>CO-600>CO-control. The results showed a significant effect of spinach extract in enhancing the oxidative stability of corn oil.
Characterization and Photo-catalytic Efficiency of

How to cite this article Sharifnezhad Z, Mahanpoor K. Characterization and Photo-catalytic Efficiency of MnFe2O4/Zn2SiO4 for Aniline Degradation Using Box-Behnken Experimental Design and Simulated Solar Radiation. J Nanostruct, 2019; 9(4): 679-693. DOI: 10.22052/JNS.2019. 04.010 In this research, Zn2SiO4 as a support and MnFe2O4 as a main photo-catalyst were individually synthesized and MnFe2O4 was fixed on Zn2SiO4 with solid state dispersion method. MnFe2O4 nano photo-catalyst was synthesized by co-precipitation method and reflux condition for 12 hours at 85°C in the presence of urea. For identification of catalysts Fourier-transform infrared (FTIR) spectroscopy, Field emission scanning electron microscopy (FESEM), Energy-dispersive X-ray spectroscopy (EDXS), transmission electron microscopy (TEM), X-ray diffraction (XRD), X-ray fluorescence (XRF) and Brunauer-Emmett-Teller (BET) techniques were used. The size of MnFe2O4 was determined about 15 nm after the fixation on the Zn2SiO4. The photocatalytic efficiency of MnFe2O4/Zn2SiO4 was checked for degradation of aniline aqueous solution utilizing the irradiation of a 1 kW Xe lamp fitted with the AM1.5 filter (to simulate the solar light spectrum) in the presence of H2O2. Degradation process was modeled and optimized successfully applying response surface methodology (RSM) according to Box-Behnken designs. Experiment results were showed that initial concentration of aniline=5.5 ppm, H2O2 initial concentration=5.3 mM, pH=11 and nano photo-catalyst amount =0.4 g/L are optimal conditions and the degradation efficiency in this condition achieved is 96%. In the optimum conditions, arrangement of (MnFe2O4/Zn2SiO4)> (MnFe2O4)> (Zn2SiO4) was obtained for efficiency of photo-catalytic degradation of aniline in aqueous solution. Decomposition kinetic equation determined pseudo first order and k=0.0407.
Numerical study of Earth-Mars trajectories with lunar gravity assist manoeuvres

A numerical study of Earth-Mars trajectories with lunar gravity assist manoeuvres is performed. The methods and models used to achieve this goal are described and their results are compared to the actual values. All transfer trajectories are first computed under the two-body problem formulation and then recurring to an open-source software. This software is the General Mission Analysis Tool maintained by NASA. Gravity assist manoeuvres are most used to missions to the outer planets, to Mercury, or when low-thrust propulsion systems are used. Lunar gravity assist manoeuvres were never successfully used in Earth-Mars trajectories. Seven real missions, with direct transfer orbits, are used to compare the results obtained from trajectories with lunar gravity assist manoeuvres. It was not possible to apply this manoeuvre to all missions analysed. For the missions where a lunar flyby was performed, the manoeuvre results in a decrease of the launch energy when comparing to a direct transfer orbit at the same injection epoch. However, when comparing to the actual injection epoch, only one mission decrease its launch energy. The results show that in some circumstances this manoeuvre can decrease significantly the launch energy need to reach Mars.
Effect of rooting media and IBA treatments on success of propagation through terminal cuttings in guava (Psidium guajava L.) cv. Taiwan Pink

The present investigation was conducted to investigate the effect of three rooting media(coco peat, vermiculite and saw dust) and Indole-3-butyric acid (IBA) treatments [250 ppm, 500 ppm and 750 ppm (in solution form) and 1500 ppm, 3000 ppm and 6000 ppm (in powdered form)] on different rooting and shooting parameters viz., percentage of rooted cuttings, number of shoots per cutting, number of leaves per cutting, dry weight of shoots per cutting, survival percentage of rooted cuttings, percentage mortality of rooted cuttings and establishment of rooted cuttings in terminal cuttings of guava cv. Taiwan Pink. It was observed that coco peat showed highest values among the 3 different rooting media and among 6 different IBA treatments, 3000 ppm showed the best results.
Stochastic frontiers of efficiency for Brazilian investment funds: a panel data analysis

Foundations, methodological and empirical possibilities of measurement and analysis in the performance of financial investments within investment funds have been developed since they were once introduced in the 1970s, thus establishing a path of growing acceptance in financial markets and universities’ academies. The first approaches over the efficiency of these funds, considering their stochastic implications, occurred in the late 1990s and have evolved with the help of SFA – Stochastic Frontier Analysis, although it still needs more careful verification. This article measured and analyzed the stochastic frontier of efficiency over 33 different Brazilian investment funds from 2012 to 2015. For doing so, Battese and Coelli’s (1995) specifications was used. It shows the effects of inefficiencies, which are defined as explicit functions of specific factors in the context of panel data funds. They are estimated by the maximum likelihood method. Sharpe ratios (SR) were also calculated for comparative purposes. Based on these two indicators (SFA and SR), the most recommendable funds to invest and the ones in which the application should not be performed were identified. Such procedures have stimulated the necessary and promising studies, as well as future researches, which, in turn, may establish new methodological formulation as an efficient and effective instrument to choose the best and the safest funds to invest.
They can be choosers: Aid, Levinas and Unconditional Cash Transfers

In this paper I seek to critically examine UCT’s and CCT’s and consider how a Levinasian ethics might offer normative guidelines to evaluate such aid programmes. Such an analysis will serve to both critique and supplement the traditional utilitarian analyses of such programmes. In so doing, this paper also hopes to contribute to the business ethics literature in which a Levinasian ethics may be brought to bear on real world problems. I proceed by enlisting Jordaan (2009) who argues that a Levinasian ethical politics can be instantiated in institutional designs by allowing a more complex representation of the other’s alterity. Two UCT programmes are interrogated in light of this finding – the first, a UCT programme in a community in Vietnam; the second, a joint CCT/UCT programme targeting adolescent girls in Malawi, designed to test the efficacy of conditionality to achieve certain.
Economic and efficiency analysis of beekeeping activity in Turkey: Case of Çanakkale Province

This study was carried out to determine the economic structure and efficiencies of the beekeeping enterprises in Canakkale Province. Beekeepers were divided into three groups/strata according to number of hives: 1-75 hives (first group), 76-150 hives (second group) and 151 hives and above (third group). Survey sample size was determined as 87 based on stratified random sampling method. The portion of fixed costs were 65.25% and variable costs were 34.75% in averages of production costs of all enterprises. The cost of honey production per kg changed between 2.04 US$ to 3.54 US$ among to enterprises. The average production cost of honey per kg was 2.92 US$. Average yield amount per hive was 16.24 kg and production cost per hive was 53.32 US$. Besides, average gross profit, net profit and relative profit were determined as 77.53 US$, 42.74 US$ and 1.80, respectively. According to the average of the enterprises, total technical efficiency (constant return to scale), pure technical efficiency (variable return to scale), scale efficiency, allocative efficiency and economic efficiency were found as 0.64, 0.89, 0.70, 0.74 and 0.66, respectively. It was determined that producer’s age and agricultural activity apart from beekeeping affected the economic efficiency negatively and land size, income per hive and honeycomb changing frequency affected the economic efficiency positively. According to the results, it was concluded that honey production was a profitable activity in Canakkale Province and relative profits and efficiencies of the enterprises in the third group were higher than the other groups.
Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods

Wire electrical discharge machining is an unconventional machining method for the production of complex-shaped and very precise parts. Because of the high energy consumption of this machining process, it is necessary to maximize the cutting speed for its appropriate implementation. The abrasion-resistant steel Creusabro 4800 was chosen as the test material for this experiment, which is widely used especially for machines working in mines and quarries. In order to maximize the cutting speed, a fuzzy inference system (FIS) has been built, which uses 18 expert propositions to “model” the cutting speed based on five selected input parameters: gap voltage, pulse on time, pulse off time, discharge current, and wire feed. The obtained results were further verified by a design of experiment consisting of 33 tests for five selected input factors. Using the fuzzy inference system, the optimum machine parameters setup was found to maximize the cutting speed, in which the gap voltage = 60 V, pulse on time = 10 µs, pulse off time = 30 µs, wire feed = 10 m∙min−1 and discharge current = 35 A. The predicted value of the cutting speed using the fuzzy inference system is 6.471 mm∙min−1.
Effects of job stress on employee’s performance

The purpose of this research is to investigate the effects of job stress on employee performance, including nature of stress, types of stress, and work stress that eventually influence employee performance and effectiveness. Despite huge investments in employee performance, organisations in Nigeria have not realized the causes of job stress. Few studies have been conducted to address the problem. The main objective of this research is to find out the effect job stress has on the performance of employees. Job stress can affect employee performance by when stress is not handled well, absenteeism, turnover and medical compensation increase and productivity decreases. To achieve a peak of performance, stress should be managed effectively, with the negative effects of stress minimized. The fact that the majority of the employees thought of leaving their job and felt that the organization did not care about them was a reflection of huge dissatisfaction that undoubtedly lowered performance. The organization must conduct a needs assessment for an Employee Assistance Programme. An Employee Assistance Programme has to be introduced for early identification and intervention on problems so that performance levels will increase.
A comprehensive analysis of the parameters in the creation and comparison of feature vectors in distributional semantic models for multiple languages

Measuring the semantic similarity and relatedness of words is important for many natural language processing tasks. Although distributional semantic models designed for this task have many different parameters, such as vector similarity measures, weighting schemes and dimensionality reduction techniques, there is no truly comprehensive study simultaneously evaluating these parameters while also analysing the differences in the findings for multiple languages. We would like to address this gap with our systematic study by searching for the best configuration in the creation and comparison of feature vectors in distributional semantic models for English, Spanish and Hungarian separately, and then comparing our findings across these languages. During our extensive analysis we test a large number of possible settings for all parameters, with more than a thousand novel variants in case of some of them. As a result of this we were able to find such configurations that significantly outperform conventional configurations and achieve state-of-the-art results.
Clinicopathological Factors Are Related to Tumor Size in Papillary Thyroid Cancer ?

Purpose: Papillary thyroid cancer (PTC) is the most common endocrine cancer worldwide. Tumor size on observation, together with lymph node metastasis, serves as a determinant of surgery. However, not all patients with PTC experience an increase in the size of tumor. We investigated various clinicopathological factors associated with the size of tumor to discern the group that can be observed without the need for early surgery. Methods: The records of 1,401 patients diagnosed with PTC (excluding the follicular variant) between 2015 and 2017, were reviewed. Clinicopathological features suspected to have a link to tumor growth were included, such as diabetes mellitus (DM), use of metformin, a surgical history of breast, ovary, uterine, or familial non-medullary thyroid cancer, B-type Raf kinase (BRAF) V600E mutation, and lymphovascular invasion (LVI). Results: Size of tumor was found to be related to sex, age, hypertension, ovary-uterine surgery, LVI and psammoma bodies. However, after adjusting for the effects of other factors on tumor size, both age and LVI were found to be significantly related to tumor size, with age also being significantly related to LVI. Conclusion: Age and LVI are significant factors in the enlargement of tumors, unlike several other features, including DM, breast cancer history, familial cancer history, Graves's disease, Hashimoto's thyroiditis, and BRAF mutation.
Solar radiometer sensing of multi-year aerosol features over a tropical urban
station: Direct Sun and inversion products

The AErosol RObotic NETwork (AERONET) is the most developed ground-based network for aerosol remote sensing and has been playing a significant role not only in monitoring air quality for protecting human health but also in assessing the radiative budget of our planet Earth. In this paper, we report the direct-Sun and inversion products, comprising of spectral variation of aerosol optical depth (AOD), associated Ångström exponent (AE), fineand coarse-mode aerosol fractions, aerosol size distribution (ASD), refractive index (RI), asymmetry parameter (AP), single scattering albedo (SSA), aerosol radiative forcing (ARF) and columnar concentration of gas constituents such as water vapor (H2O), obtained from a Cimel Sun–sky radiometer, functioning in Pune, India, under the AERONET program since October 2004. These long-term measurements carried out from 2005 to 2015 could serve as an urban aerosol optical long-term average or climatology. The AOD long-term variations at all wavelengths, considered in the study, exhibited an increasing trend, implying year-to-year enhancement in aerosol loading. The mean seasonal variations in AOD from cloud-free days indicated greater values during the monsoon season, revealing dominance of hygroscopic aerosol particles over the station. Contribution by different aerosol types to AOD has also been deduced and discussed, and dominance of a mixed type of aerosols (44.85 %) found, followed by combination of biomass burning and urban industrial aerosols (22.57 %) compared to other types of aerosols during the study period. The long-term datasets, derived aerosol and trace gas products play a significant role in understanding aerosol climate forcing, trends and evaluation of regional air pollution and validation of aerosol transport models over the study region.