Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid Approach in the Analysis of Bovine Milk Protein Hydrolysates as a Source of Peptides Containing Di- and Tripeptide Bitterness Indicators

BSA, bovine serum albumin; B, bromelain; B-MPC, bromelain hydrolysate of milk protein concentrate; F, fi cin; F-MPC, fi cin hydrolysate of milk protein concentrate; MLR, multivariate linear regression; MPC, milk protein concentrate; O-MPC, non-hydrolyzed milk protein concentrate; P, papain; P-MPC, papain hydrolysate of milk protein concentrate; PK, proteinase K; PK-MPC, proteinase K hydrolysate of milk protein concentrate; RP-HPLC, reversed-phase high performance liquid chromatography; RP-HPLC-MS/MS, reversed-phase high performance liquid chromatography and mass spectrometry; Rcaf. , the ratio of caffeine (the threshold concentration for 1 mM caffeine solution as a standard (Rcaf. = 1.0); tR predicted, theoretical retention time; tR experimental, experimental retention time; αs1, casein; αs2-CN, αs2casein; α-La, α– -lactalbumin; β-Lg, β– lactoglobulin; β-CN, β– casein; κ-CN, κ-casein; and TFA, trifl uoracetic acid.
Stress management in South Africa

A distinction is made between eustress and distress, and the complexity of stress phenomena is emphasized. Acceptance of corporate social responsibility is posed as the most fundamental form of stress management at the social and community level. Sound management practices are viewed as basic to health-enhancing organizations. Occupational differences are highlighted. Stress management training is discussed in terms of who needs training, individual vs. group approaches, and objectives. Knowledge acquisition and self-assessment are introduced. Brief discussions of specific skills training follow: Relaxation, physical exercise, rational-emotive thinking, goal setting, time management, personal and career development counselling, and preventive health management. Lastly, employee counselling programmes are mentioned. The role of follow-up evaluation is emphasized. S. Afr. J. Bus. Mgmt. 1985, 16: 61 70
Factors Influencing Brand Choice: An Investigation In FMCG Sector

Brand choice issues have spawned considerable attention in recent past both in academic and managerial fields. It has become fullsize as companies spend hundreds of thousands of rupees every 12 months in figuring out the factors that have an effect on choice preference. The main objective of the study is to determine the factors influencing brand choice. To find out the brand choice Talcum Powder was selected as product as it was highly used by the respondents in a day. By using convenience sampling method, data were collected from 100 respondents. The results found out that brand choice is inevitable in purchase decision, corporate have to look into account that ̳quality aspects‘, ̳promotional aspects‘, ̳preferential aspects‘, ̳image aspects‘ and ̳retailers influence‘ were to be considered for continuous growth
Rotational Raman-Based Temperature Measurements in a High-Velocity Turbulent Jet

Spontaneous rotational Raman scattering spectroscopy is used to acquire the first ever high quality, spatially-resolved measurements of the mean and root mean square (rms) temperature fluctuations in turbulent, high-velocity heated jets. Raman spectra in air were obtained across a matrix of radial and axial locations downstream from a 50 mm diameter nozzle operating from subsonic to supersonic conditions over a wide range of temperatures and Mach numbers, in accordance with the Tanna matrix frequently used in jet noise studies. These data were acquired in the hostile, high noise (115 dB) environment of a large scale open air test facility at NASA Glenn Research Center (GRC). Temperature estimates were determined by performing nonlinear least squares fitting of the single shot spectra to the theoretical rotational Stokes spectra of N2 and O2, using a custom in-house code developed specifically for this investigation. The laser employed in this study was a high energy, long-pulsed, frequency doubled Nd:YAG laser. One thousand single-shot spectra were acquired at each spatial coordinate. Mean temperature and rms temperature variations were calculated at each measurement location. Excellent agreement between the averaged and single-shot temperatures was observed with an accuracy better than 2.5 percent for temperature, and rms variations in temperature between 2.2 percent at 296 K and 4.5 percent at 850 K. The results of this and planned follow-on studies will support NASA GRC’s development of physics-based jet noise prediction, turbulence modeling and aeroacoustic source modeling codes. The data set of Raman mean and rms temperature measurements covering the complete test matrix listed in Table 1 is available in an accompanying DVD (available online from www.sti.nasa.gov) for anyone interested in further analysis.
Reinforcement Learning for Voltage Control-based Ancillary Service using Thermostatically Controlled Loads

Advances in the demand response for energy imbalance management (EIM) ancillary services can change the future power systems. These changes are subject for research in academia and industry. Although an important/promising part of this research is the application of Machine Learning methods to shape future power systems domain, the domain has not fully beneﬁted from this application yet. Thus, the main objective of the presented project is to investigate and assess opportunities for applying reinforcement learning (RL) to achieve such advances by developing an intelligentvoltagecontrol-basedancillaryservicethatusesthermostaticallycontrolled loads (TCLs). Two stages of the project are presented: a proof of concept (PoC) and extensions. The PoC includes modelling and training of a voltage controller utilising Q-learning, chosen due to its efﬁciency that is achieved without unnecessary sophistication. Simplest relevant for demand response power system of 20 TCLs is considered in the experiments to provide ancillary service. The power system model is developed with Modelica tools. ExtensionsaimtoexceedPoCperformancebyapplyingadvancedRLmethods: Qlearning modiﬁcation that uses a window of environment states as an input (WIQL), smartdiscretisationstrategiesforenvironment’scontinuousstatespaceandadeepQnetwork(DQN)withexperiencereplay. Toinvestigateparticularitiesofthedeveloped controller , modiﬁcations in an experimental setup such as controller testing longer than training, different simulation start time are considered. The improvement of 4% in median performance is achieved compared to the competing analytical approach - optimal constant control chosen using whole time interval simulation for the same voltage controller design. The presented results and corresponding discussions can be useful for both further work on the RL-driven voltage controllers for EIM and other applications of RL in power system domain using Modelica models.
Impact of Health Capital on Total Factor Productivity in Singapore

The significance of health capital as a major determinant of economic growth and productivity was highlighted through the work by Jeremy Bentham (1780). In subsequent era, economists likewise acknowledged that individual and population health could be one of the important determinant of productivity and economic growth. This paper examines the impact of health capital on multi-factor productivity (hence TFP) in Singapore covering the period of 1980-2013. The finding from the Autoregressive Distributed Lag (ARDL) bound test shows that there is stable and long run co -integration between TFP, health capital, and education. The long run estimate shows that health capital and education makes a positive and substantial contribution to TFP. This indicates that the TFP of Singapore could be substantially improved if spending on health capital and education are increased accordingly.
The comparison of distress tolerance and experiential avoidance in people with health anxiety and normal people

: Background: People with health anxiety experience high levels of concern about physical symptoms and use coping strategies such as avoidance in the face of these negative emotions. This study aimed to compare distress tolerance and experiential avoidance in people with and without health anxiety. Materials and Methods: This is a Case-control study. The research sample consisted of two groups of 40 students from Kashan University and Kashan University of Medical Sciences. The health anxiety group was selected by purposeful sampling. The normal group was selected by convenience sampling method. The research tools were: Short form health anxiety questionnaire (F-SHAI), Distress Tolerance Scale (DTS) and Acceptance and Action Questionnaire-2 (AAQ-2). Data was analyzed using SPSS-19 software and independent t-test. Results: Score mean of experiential avoidance was 28.30 (SD=7.41) in people with health anxiety and 20.15 (SD=7.70) in normal people. The score mean of distress tolerance in people with health anxiety was 38/35 (SD=7.26) and in normal people was 44/42(SD=9.70). The results of Independent t-test showed that there was a significant difference between two groups in experiential avoidance score (t=4.82) and distress tolerance score (t=-3.16, P <0.001). Conclusion: Individuals with health anxiety reported more experiential avoidance and less distress tolerance than normal people. These people are more attracted to their health-related negative emotions and because of the inability to tolerate these distresses, they avoid stressful situations associated with these distresses.
The Kenya National Police Service burnout intervention strategies

The purpose of the paper is to determine the burnout intervention strategies among Police officers in Matungulu Sub County, Kenya. The target population for the study was the police officers (N=250) stationed in various stations within Matungulu SubCounty. Out of the total population of 250, 100 (40%) police officers were from Kenya Police Service (KPS), 125 (50%) police officers from Administration Police Service (APS) and 25 (10%) police officers from Directorate of Criminal Investigation Department (DCI). Data was coded, entered into database and analyzed using Microsoft Excel and SPSS software. Continuous variables were analyzed using Chi-Square Tests and p values<0.05 at 95% confidence interval was considered significant. Frequency responses were calculated and the results presented in tables, pie charts and bar graphs for ease of interpretation. The result shows that 94 per cent of those interviewed indicated that burnout intervention strategies within Matungulu Sub-County were ineffective due to lack of outstanding counseling centre, functioning psycho-social support unit, efficient communication, systematic feedback and there is no monitoring program for job enlargement and job rotation. The paper thus recommends the improvement on the capability of the burnout intervention strategies among police officers in National Police Service, provision of enabling work environment, sufficient equipment, enhanced managerial skills among commanders, motivation and adequate, well trained and well remunerated human resource.
Laser Treatment for Melanin Gingival Pigmentations: A Comparison Study for 3 Laser Wavelengths 2780, 940, and 445 nm

The normal appearance of the gingiva is pink to light red, and this appearance may change due to many factors and might be noticeable causing aesthetic concerns. In the Gulf area, the gingival melanin pigmentation is of the main type of concern, and patients expect the pigmentation to be removed for aesthetic reasons. Many techniques have been used to remove the melanin pigmentation such as using surgical blades, diamond or ceramic burs, chemicals, and lasers. This study is comparing the results of three lasers (Er, Cr, YSGG 2780 nm, Diode 940 nm, and 445 nm) in the removal of melanin gingival depigmentation. Clinical outcome parameters including bleeding, wound healing, pain, duration of procedure, color improvement, patient satisfaction, and relapse rate after 2 years were assessed. Conclusion. Within the limitation of this study, all three wavelengths were fast, effective in peeling the pigmentations and well tolerated by the patients. The esthetical results were excellent, and the patients were highly satisfied. Suggestion. To have a bigger number of samples in future papers, and histological studies might be included to explore the different impacts of each wavelength on the gingival melanin pigmentation specifically and on the gingival tissue generally.
Racial and Ethnic Disparities in Prevalence of Self-Reported Visual Impairment and Eye Care Utilization among U.S. Adults

Author(s): Ding, Kaili | Advisor(s): Billimek, John | Abstract: Purpose: The purpose of this study is to examine the disparities in visual impairment, annual eye care visits, and eyeglass affordability by race/ethnicity and associated covariates among the United States (U.S.) adult population. Method: The combined sample size of six years’ NHIS data was 199,622, which represented 241,555,788 U.S. adults population each year. The prevalence of were standardized to the 2014 U.S. Census population. Multivariable logistic regression models were built to calculate adjusted odds ratios to find the potential explanations for the disparities. Weighted least squares linear regression was used to estimate the linear trends of the prevalence.Results: For adults age ≥18, there were significant disparities in the prevalence of self-reported visual impairment (VI) and eye care utilization between different racial and ethnic groups. Associated covariates each carried an independent association with the disparities and provided some understanding in racial and ethnic disparities. There was no trend of visual impairment, but an increasing trend of annual eye doctor visits and a decreasing trend of being unable to afford eyeglasses during the past six years. Conclusions: There were disparities in visual impairment and eye care utilization among U.S. adults by race and ethnicity. The associated covariates contributed to racial and ethnic disparities. There was an increasing trend of annual eye doctor visits and a decreasing trend of being unable to afford eyeglasses among the U.S. adults. More research is imperative to understand the underlying reasons and mechanisms. Innovative interventions are needed to reduce unnecessary vision loss among high-risk groups.
The Economic of Deterrence: A Wrong Policy or A Misplaced Strategy?

This paper investigates the impact of economics conditions and deterrence variables on disaggregated crime data in Sarawak, using yearly time-series data spanning more than 40 years using a vector error correction estimates. It is proven that economic variables studied serve as motivation of crime in Sarawak and imprisonment does not deter crime in the time period studied. It is evident that imprisonment in the case of Sarawak is less influential in deterring crime or the society were ill informed of the severity of punishment. While the study established a long-run relationship between economics and crime, it is also a noble approach in understanding deterrence in the context of Sarawak. Both economics and deterrence variables are important in explaining the decline in crime and in formulating efficient strategy and policies to combat crime. Government should shift the focus of increasing number of police force to increasing awareness on severity of punishments. At the same time, increasing opportunity for legal jobs would be important to deter crime.
Sleep, energy disturbances and pre-competitive stress in female traveller athletes

Background: Gymnasts of high performance level are submitted to a demanding competitive schedule, which can negatively affect their circadian rhythm, sleep, appetite and pre-competitive stress. Therefore, the purpose of this study was to investigate sleep, body composition, pre-competitive stress and energy in elite female athletes just before a World Cup and potential sleep risks according to the travelled distance by athletes in order to compete. Methods: Sixty-seven rhythmic gymnasts of high performance level were evaluated in order to collect training and competition data, daytime sleepiness (DS) by the Epworth Sleepiness Scale, sleep quality (SQ) by the Pittsburgh Sleep Quality Index, precompetitive anxiety by the Sport Competition Anxiety Test-A and dietary intake prior to a World Cup. Results: Gymnasts suffering from severe DS had worse scores in the competition than those who reported normal DS ( p =0.004). In addition, gymnasts with severe DS reported reduced SQ ( p =0.014) and showed high levels of precompetitive stress ( p <0.01). Gymnasts with reduced SQ demonstrated great DS ( p =0.014) and high levels of precompetitive stress ( p =0.010). Conclusions: Gymnasts demonstrated disordered sleep and precompetitive stress. Athletes who travelled long distances to compete presented high risk for short sleep duration, abnormal DS and reduced SQ.
Variants of SURE-LET Approach to Image Denoising

Many image denoising methods assume priors due to the underdetermined nature of the image denoising problem. However, these methods might perform poorly on images whose statistics do not agree with the prior assumed. In this paper, we explored the SURE-LET approach, a Gaussian denoising approach which avoids using a speciﬁc prior. SURE-LET and PURE-LET, its extension to the Poisson noise case, offer a means to optimize the transform domain denoising methods. We implemented our version of SURE-LET and PURE-LET by using soft-threshold in discrete cosine transform domain as the denoiser. We also explored coupling SURE-LET with Anscombe transform to denoise Poisson noisy images. Our Gaussian denoisers yielded results comparable to the results from ADMM wit TV prior and NLM prior. Our Poisson denoisers outper-formed Richardson-Lucy algorithm and its variant with TV prior.
Impact of Big Data and Political Microtargeting on Donald Trump’S 2016 Presidential Campaign

for each [constituent], each with highly personalized political content…” are designed and then delivered using various channels of communication (International Institute for Democracy and Electoral Assistance, 2018, pp.13-14). Recent research conducted by Schipper and Woo (2017, pp. 18, 22) shows that microtargeting is necessary for a voter to view a candidate favorably since individuals who do not Abstract-On January 20th, 2017, Donald Trump was inaugurated as the 45th President of the United States. His opponent, Hillary Clinton, was a seasoned politician who was favored to win the election. However, Trump produced one of the biggest political upsets in modern day history. This explanatory case study aimed to explain one of the reasons that Trump won by looking at the role that technology played during the 2016 presidential election. Specifically, this study examined how big data was leveraged to influence voter behavior during the campaign. Data drawn from articles, interviews, and videos published during the campaign were collected and analyzed thematically. Results identified three main themes that were particularly salient: mobilization of voter databases, data-driven microtargeting, and Facebook influence. This study highlightes the potential benefits of targeting voters using big data analytics as well as the potential risks related to issues of privacy.
Journal of Food Quality Evaluation of Effect of Extraction Solvent on Selected Properties of Olive Leaf Extract

The quest for natural preservatives and functional foods with health benefits has seen an increasing demand for natural products having therapeutic value. Herein, we investigated the influence of ethanol, methanol, acetone (50%, 70%, and 90% v/v), and distilled water on selected properties of olive leaf extract and determined the yield, total phenolic content (TPC), antioxidant activity, and antimicrobial activity. Extracts were analyzed for their oleuropein, hydroxytyrosol, and tyrosol contents by high-performance liquid chromatography (HPLC). The highest extraction yield of 20.41% was obtained when using 90 vol% methanol, while the highest total polyphenol contents of 232 and 231 mggallic-acid-equivalent/100 g were obtained for 90 vol% methanol and 90 vol% ethanol, respectively. Antioxidant activity was determined using the α,α-diphenyl-β-picrylhydrazyl (DPPH) radical scavenging assay, by determining the ferric reducing antioxidant power (FRAP), and using the Fe2+-chelating activity assay, which provided the highest values when 90 vol% methanol was used (33.84%, 0.75, and 12.91%, respectively). HPLC analysis showed that the highest oleuropein contents corresponded to the extracts obtained using 90 and 70 vol% methanol (26.10 ± 0.20 and 24.92 ± 1.22 g/L, respectively), and the highest antimicrobial activity was observed for 90 vol% methanol and distilled water. Olive leaf extracts using 90 vol% methanol had high levels of polyphenols and were highly antioxidant and antimicrobial. The results of this study facilitate the commercial applications of natural extracts with antioxidant and antibacterial activities and are expected to establish a foundation for further optimization studies.
Gender Differences in Perceived Stress Among Childhood Education Lecturers

This study examined the differences in stress perception in a sample of childhood education lecturers in Nigerian Tertiary Institutions by gender. Forty (40) childhood education lecturers across public colleges of education and universities were conveniently sampled for this descriptive survey study. A questionnaire measuring stress perception was used for collecting the research data. Mean, standard deviation and unpaired t-test were used for data collection. Results show that the stress score of the female lecturers was significantly higher than that of the male lecturers in childhood education. Therefore, there is a need for stress management programme among these female lecturers.