Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation of functional juice blends containing bioactive healthy compounds and antitumor effects

Fruit juices are healthy drinks, where they contain vitamins, minerals and antioxidants that play an important role in preventing many diseases like cancer. To improve the nutritional value of juices, blending according to the kind of fruits used, four formulas of natural juices blends were prepared; blended formula 1(strawberry and banana), formulas 2 (carrot and sweet potato) formulas 3(banana, carrot and sweet potato) and formulas 4 (tiger nut). Their physic-chemical and sensory properties were evaluated. The total phenols, total flavonoids and antioxidant activity of fresh juices blends were evaluated using DPPH scavenging capacities method. The overall acceptability of blended juices of the four formulas showed the possibility to prepare blended juices characterized with good sensory and nutritional properties, besides having a source of natural antioxidants. The obtained five blended natural juices of strawberry, banana, carrot, sweet potato and tiger nut are good source of minerals and antioxidant activity of their vitamin C, flavonoids and total phenolics contents. In the test of four formulas for the protective effect against human cell lines gave positive results. In conclusion, the results of the current study suggested that the prepared formulas are a good source of bioactive compounds such as phenolic and flavonoids with potentially high antioxidant activities that natural play a role as antitumor. Kewword: Fruit juices, carrot, strawberry, tiger nut, banana, Physico-chemical, total phenols, total flavonoids, caner. INTRODUCTION Fruit Juices are a good source of vitamins, minerals and essential valuable bioactive compounds for human health. The health benefits associated with drinking natural fruit juices are related to their bioactive components such as essential vitamins, minerals and polyphenolic compounds. Therefore, fruit beverages are well known for their medicinal properties (Hădărugă, 2009; Wootton-Beard and Ryan, 2011). The blended juice is characterized with its improved aroma, taste and nutrients of the beverages (Deka and Sethi, 2001). This method is bright to improve the content of blending juices of minerals and vitamins according to the type of fruits used (Day et al., 2010). Furthermore, when blending juices, a new product with high health and nutritional properties can be formed. Strawberry fruit has several phytochemical compounds such askatekin, acid elagiat, antosianin, kuaerferin and kaemferol. Antosianin is antioxidants able to avoid atherosclerosis through hamper aterogenesis process by oxidize the LDL (Buvé et al., 2018). Carrot juice has vitamins, carotene and minerals (De Carvalho et al., 2007; Di Giacomo and Taglieri., 2009). Carotene is able to exhibit the free radical properties, and is effectiveness as a biological antioxidant (Filotheou et al., 2012). Honey bees is characterized by its widely used for therapeutic effects and it has about 200 substances like fructose, glucose, fructo-oligosaccharides (Chow, Received: November 15, 2020; Accepted: December 5, 2020 ; Available online December 20, 2020
An Analysis of Characteristics of Post-Stroke Fatigue in Patients without Depression: A Retrospective Chart Review

Post-stroke fatigue (PSF) is among the most common stroke sequelae and affects rehabilitation, resulting in poor recovery. A main influencing factor may be depression, which has been investigated with fatigue in several clinical trials. We aimed to evaluate the characteristics of fatigue in post-stroke patients without depression through a retrospective chart review. The medical records of stroke patients hospitalized in the Stroke and Brain Disease Center, Kyung Hee University Korean Medicine Hospital were reviewed. Stroke patients without depression were divided into a PSF group and control group (without fatigue). The demographic characteristics, type of stroke, medical history, laboratory examinations, clinical features, and pattern identification of each patient were recorded and compared between the study groups. The medical records of 216 patients were reviewed; 85 and 131 patients were assigned to the PSF and control group, respectively. Apolipoprotein A1 levels were significantly lower in the PSF than in the control group (105.6 ± 16.5 vs. 116.2 ± 21.8). We found a significantly higher occurrence of reversal cold of the extremities and a lower probability of fire-heat pattern in the PSF group than in the control group. This study suggests that apolipoprotein A1 levels are lower and cold manifestations are more common in PSF patients without depression than in those without fatigue.
Are founder-CEOs resilient to crises? The impact of founder-CEO succession on new firm survival

This article explores whether new firms managed by founder-chief executive officers (CEOs) are more likely to survive than those managed by successor-CEOs in times of crisis. Drawing on the concept of ‘resilience’ to adversity, we argue that founder-CEOs increase the likelihood of new firm survival, especially in times of crisis. Using a sample of Japanese firms founded during the 2003–2010 period, we examine the impact of founder-CEO succession on new firm survival. The analysis shows that new firms managed by founder-CEOs are less likely to liquidate than those managed by successor-CEOs, especially during the 2008–2009 financial crisis. This suggests that founder-CEOs are more resilient to crises than successor-CEOs. In contrast, new firms managed by successor-CEOs are more likely to exit via merger than those managed by founder-CEOs, regardless of macroeconomic conditions. These findings are robust after controlling for the endogeneity of CEO succession.
The Effects of Health Promotion Literacy Program on Knowledge and Health Behaviors of National Health Recommendations among Middle School Students

This study was examined the effect of health promotion literacy program on knowledge and health behaviors of Ten National Health Recommendations among middle school students. Classroom action research was implemented among grade 8 students at middle school students selected purposively. Two comparable schools were assigned to the online Health Promotion Literacy Program for 3 weeks. The instruments employed in the study consisted of Health Promotion Literacy Program, questionnaire on knowledge and health behaviors, and user satisfaction survey. It revealed there was a significant difference in the learning achievement of health literacy and health behaviors of each school those who were participated in Health Promotion Literacy Program who performed posttest better than pretest the programme (t1=24.26, P1=0.000, t2=26.33, P2=0.000). It revealed there was an insignificant difference in the learning achievement of health literacy and health behaviors of both affiliations that it is shown that students who come from different schools totally have similar knowledge, perceptions, and behaviors (t=1.22, P=0.848). The students who participated in health promotion literacy program had satisfaction at good level (x ̅=4.39). From the study, health literacy promotion program on health behaviors according to the National Health Recommendations can positively affects student learning outcomes.
An artificial intelligent approach to traffic accident estimation: Model development and application

Abstract This study proposes an Artificial Neural Network (ANN) model and a Genetic Algorithm (GA) model to estimate the number of accidents (A), fatalities (F) and injuries (I) in Ankara, Turkey, utilizing the data obtained between 1986 and 2005. For model development, the number of vehicles (N), fatalities, injuries, accidents and population (P) were selected as model parameters. In the ANN model, the sigmoid and linear functions were used as activation functions with the feed forward‐back propagation algorithm. In the GA approach, two forms of genetic algorithm models including a linear and an exponential form of mathematical expressions were developed. The results of the GA model showed that the exponential model form was suitable to estimate the number of accidents and fatalities while the linear form was the most appropriate for predicting the number of injuries. The best fit model with the lowest mean absolute errors (MAE) between the observed and estimated values is selected for future estimations.
Thermal Performance of a Heat Storage Module Using PCM’s With Different Melting Temperatures: Mathematical Modeling

In the present study, the performance of a heat storage unit consisting of number of vertical cylindrical capsules filled with phase change materials, with air flowing across them for heat exchange has been analyzed. Earlier theoretical models did not consider temperature distribution in the radial direction within the capsules, an assumption that limits their applications for small diameter capsules. The mathematical model developed in this work is based on solving the heat conduction equation in both melt and solid phases in cylindrical coordinates, taking into account the radial temperature distribution in both phases. Heat flux was then evaluated at the surface of the first row of the capsules to determine the temperature of the air leaving that row by a simple heat balance. It was found that such computation may be carried out for every few rows rather than for a single row to minimize computer time. The simulation study showed a significant improvement in the rate of heat transfer during heat charge and discharge when phase change materials with different melting temperatures were used. Air must flow in the direction of decreasing melting temperature during heat charge, while it must be reversed during heat discharge.
The state of quality in logistics: evidence from an emerging Southeast Asian nation

The importance of the logistics function has increased dramatically at many firms as comparative priorities have shifted from production quality to delivery and flexibility. At the same time, however, there have been few comprehensive studies on the implementation of TQM practices in the logistics function. This paper examines the implementation of quality management practices in the logistics function based on a study of 113 Malaysian firms. Findings on the extent to which logistics quality management programs had been implemented, the element of the logistics strategy, the impediments and the extent of quality programs are discussed. The paper concludes with a discussion on the implications.
Improving short and long term frequency stability of the opto-electronic oscillator

For the first time, the high Q components of the optoelectronic oscillator, i.e. the optical fiber, and the narrow pass band microwave filter in the oscillator loop were thermally stabilized to improve the oscillator short- and long-term frequency stability. In our design, the temperature of these elements is kept above ambient and stabilized with the help of resistive heaters and temperature controllers. With this scheme the free running oscillator demonstrates a short-term frequency stability of 0.02 ppm and frequency vs. temperature slope of -0.1 ppm//spl deg/C (at 20-30/spl deg/C) with an exceptional spectral purity (-143 dBc/Hz at 10 kHz offset frequency). Locking the opto-electronic oscillator to a standard reference oscillator, oscillating at 100 MHz further stabilized the 10 GHz microwave carrier frequency.
On-Road Sampling of Diesel Engine Emissions of Polychlorinated Dibenzo-p-Dioxin and Polychlorinated Dibenzofuran

The first known program to sample mobile heavy duty diesel engine emissions for polychlorinated dibenzo-p-dioxin and polychlorinated dibenzofuran (“PCDD/F”) during highway and in-city driving routes was conducted. The post-muffler stacks of two diesel tractors hauling loaded trailers were sampled with a modified EPA Method 23 train. Extensive care was taken to ensure high data quality including sampling large volumes, repeat measurements, and high resolution mass spectroscopy. Analytical results from five tests showed significant yields of PCDD/F. The average emission factor obtained from this work was 0.029 nanograms (ng) international toxic equivalency (I-TEQ)/km. The upper limit of the 95% confidence interval provides an estimated emission factor of 0.106 ng I-TEQ/km. Based on these values and 1993 diesel truck travel estimates, the projected U.S. annual emissions from on-road diesel vehicles are 4.4 g I-TEQ/yr with a 95% confidence upper bound of 16.1 g I-TEQ/yr.
Variability and delusions of precision

Engineering construction projects are complex undertakings both as products and as processes for their realization, operation and disposal. However, the thinking, tools and techniques which are employed remain firmly embedded in reductionist determinism. The widespread criticisms of project and project management (realization) performances are hypothesized to be significantly attributable to distortions which are endemic in and occasioned by the ‘traditional’ perspectives and approaches. Underpinning assumptions include people knowing what they want, articulating those requirements and constraints, and communicating them effectively. Those requirements etc. are then, essentially, fixed as the basis for the project, despite the likelihood of their being incomplete, inconsistent and relating to one, or very few, primary stakeholders only. Fragmentation of industries and project organizations lend credence to the complexities of projects and the imperative of integration of the myriad specialists. Projects a.
ASSESSING BEST MANAGEMENT PRACTICE IMPLEMENTATION STRATEGIES UNDER CLIMATE CHANGE SCENARIOS

As climate changes, the uncertainty of water availability, changing magnitudes of nonpoint-source pollution, and uncertainty of best management practice (BMPs) effectiveness are issues that watershed managers and stakeholders must consider and plan for. The objective of this study was to determine how BMP effectiveness will be affected by climate change using the Soil and Water Assessment Tool (SWAT). Using downscaled monthly precipitation and temperature data output from the Community Climate System Model (CCSM), daily precipitation and temperature data were produced based on observed weather station data for the Tuttle Creek Lake watershed in Kansas and Nebraska. The A1B, A2, and B1 SRES emissions scenarios were compared to historical CCSM model output. Eight agricultural BMPs were physically represented within SWAT and compared across climate scenarios. Water yield, surface runoff, baseflow, sediment load, nitrogen load, and phosphorus load increased in all three future climate scenarios. Terraces, contour farming, and native grass were determined to be the most effective in pollution load reduction and percent efficiency at the field and watershed scales in future scenarios. Porous gully plugs and filter strips showed no significant changes in pollution load or percent reduction. Grazing management, no-tillage, conservation tillage, and grazing management percent and load reduction in future scenarios varied at the field and watershed scales. This study demonstrates that BMP performance in terms of sediment, nitrogen, and phosphorus reduction significantly changes in future climate scenarios at the field scale, while performance generally does not change significantly at the watershed scale.
Towards Adaptive Urban Water Management: Up-Scaling Local Projects

Increasingly, the need for adaptive urban water management approaches is advertised, but the transition towards such approaches in the urban water sector seems to be slow. The purpose of this paper is to provide an in-depth study of how an innovative approach has been adopted in practice by looking into how contextual knowledge from a local project has been up-scaled to more generic knowledge. Specifically, the paper outlines how two planners from a Danish municipality succeeded in developing a more innovative sewage plan on the basis of a local project with implementation of local handling of rainwater. This insight into the processes of learning aggregation of water practices points towards the important role that the dedicated work performed by local facilitators and intermediaries play in relation to a transition towards more adaptive urban water management.
Neuroprotective Effect of Glatiramer Acetate on Neurofilament Light Chain Leakage and Glutamate Excess in an Animal Model of Multiple Sclerosis

Axonal and neuronal pathologies are a central constituent of multiple sclerosis (MS) and its animal model, experimental autoimmune encephalomyelitis (EAE), induced by the myelin oligodendrocyte glycoprotein (MOG) 35–55 peptide. In this study, we investigated neurodegenerative manifestations in chronic MOG 35–55 induced EAE and the effect of glatiramer acetate (GA) treatment on these manifestations. We report that the neuronal loss seen in this model is not attributed to apoptotic neuronal cell death. In EAE-affected mice, axonal damage prevails from the early disease phase, as revealed by analysis of neurofilament light (NFL) leakage into the sera along the disease duration, as well as by immunohistological examination. Elevation of interstitial glutamate concentrations measured in the cerebrospinal fluid (CSF) implies that glutamate excess plays a role in the damage processes inflicted by this disease. GA applied as a therapeutic regimen to mice with apparent clinical symptoms significantly reduces the pathological manifestations, namely apoptotic cell death, NFL leakage, histological tissue damage, and glutamate excess, thus corroborating the neuroprotective consequences of this treatment.
Control techniques of Dispersed Generators to improve the continuity of electricity supply

It is expected that dispersed generation (DG) will play an increasing role in electric power systems in the near future. Among the benefits that DG can give to the power system operators and to the electricity customers, one of the most attractive is the possibility of improving the continuity of power supply. DG plants can be designed to supply portions of the distribution grid in the event of an upstream supply outage. Techniques for controlling DG plants that use feedback of only locally measurable variables are presented. This solution allows correct system operation and switching between parallel and isolated modes without needing online communication of control signals between the generators. The control technique is described with particular reference to inverter-interfaced systems (micro-turbines, fuel cells). Simulations of sample cases including different size and type of generators are presented.
Real-Time Imaging With Simultaneous Use of Born and Rytov Approximations in Quantitative Microwave Holography

Microwave and millimeter-wave measurements acquire total-field responses from measurements, yet imaging algorithms instead require the data in the form of scattered-field responses. Two approaches exist for the extraction of the scattered-field data from the total-field responses, namely, the Born and the Rytov data approximations. It is well known that, depending on the target’s size, contrast, and structural complexity, one approximation can achieve an improved accuracy over the other. Yet, the Rytov approximation is rarely used in microwave and millimeter-wave imaging, likely due to phase-unwrapping problems occurring in the case of strongly heterogeneous electrically large targets. Here, we propose a method to utilize the Born and the Rytov approximations simultaneously in a single inversion step for real-time imaging with quantitative microwave holography (QMH). We show through examples with simulated and experimental data that in near-field imaging scenarios, including the imaging of a breast-tissue phantom, there are significant benefits in employing the new method.
First-generation and continuing-generation college graduates’ application, acceptance, and matriculation to U.S. medical schools: a national cohort study

ABSTRACT Many U.S. medical schools conduct holistic review of applicants to enhance the socioeconomic and experiential diversity of the physician workforce. The authors examined the role of first-generation college-graduate status on U.S. medical school application, acceptance, and matriculation, hypothesizing that first-generation (vs. continuing-generation) college graduates would be less likely to apply and gain acceptance to medical school.Secondary analysis of de-identified data from a retrospective national-cohort study was conducted for individuals who completed the 2001–2006 Association of American Medical Colleges (AAMC) Pre-Medical College Admission Test Questionnaire (PMQ) and the Medical College Admissions Test (MCAT). AAMC provided medical school application, acceptance, and matriculation data through 06/09/2013. Multivariable logistic regression models identified demographic, academic, and experiential variables independently associated with each outcome and differences between first-generation and continuing-generation students. Of 262,813 PMQ respondents, 211,216 (80.4%) MCAT examinees had complete data for analysis and 24.8% self-identified as first-generation college graduates. Of these, 142,847 (67.6%) applied to U.S. MD-degree-granting medical schools, of whom 86,486 (60.5%) were accepted, including 14,708 (17.0%) first-generation graduates; 84,844 (98.1%) acceptees matriculated. Adjusting for all variables, first-generation (vs. continuing-generation) college graduates were less likely to apply (odds ratio [aOR] 0.84; 95% confidence interval [CI], 0.82–0.86) and be accepted (aOR 0.86; 95% CI, 0.83–0.88) to medical school; accepted first-generation college graduates were as likely as their continuing-generation peers to matriculate. Students with (vs. without) paid work experience outside hospitals/labs/clinics were less likely to apply, be accepted, and matriculate into medical school. Increased efforts to mitigate structural socioeconomic vulnerabilities that may prevent first-generation college students from applying to medical school are needed. Expanded use of holistic review admissions practices may help decision makers value the strengths first-generation college graduates and other underrepresented applicants bring to medical educationand the physician workforce.