Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Experiential Marketing and Social Media Marketing on Repurchase Intention with Brand Trust as Variable Mediation for Wearing Klamby Hijab Fashion Products

The development and advancement of internet technology have been largely viewed as a very lucrative business opportunity by some. Hijab fashion products are one of the businesses that are currently thriving in their use of social media. In Indonesia, the growth of Wearing Klamby products is beginning, and there is an interesting phenomenon where the brand's products always sell out quickly when a new product series is launched. The purpose of this study was to ascertain the factors influencing repurchase intention and brand trust for Wearing Klamby hijab fashion products. The research is quantitative in nature and includes cross-sectional research. The population for this study consisted of all customers of Wearing Klamby fashion who had made at least two purchases of Wearing Klamby products. The probability sampling method combined with a simple random sampling technique will be used in this study to obtain 155 respondents. The findings of this study indicate that experiential marketing, social media marketing, and brand trust all have a positive and significant effect on repurchase intention. Experiential marketing and social media marketing have a positive and significant effect on brand trust to a lesser extent. In this study, brand trust as a mediating variable had a positive and significant effect on repurchase intention.
Effects of aerobic exercise on lipopolysaccharide‐induced experimental acute lung injury in the animal model of type 1 diabetes mellitus

What is the central question of this study? We evaluated the effects of diabetes and exercise on lipopolysaccharide‐induced acute lung injury. By providing a comprehensive analysis of redox status, blood gases and histological parameters, we aimed to contribute to the ongoing debate in the literature. What are the main findings and its importance? We demonstrated the preventive effect of exercise, but diabetes did not alter the severity of acute lung injury.
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

Background Platelets are a valuable and perishable blood product. Managing platelet inventory is a demanding task because of short shelf lives and high variation in daily platelet use patterns. Predicting platelet demand is a promising step toward avoiding obsolescence and shortages and ensuring optimal care. Objective The aim of this study is to forecast platelet demand for a given hospital using both a statistical model and a deep neural network. In addition, we aim to calculate the possible reduction in waste and shortage of platelets using said predictions in a retrospective simulation of the platelet inventory. Methods Predictions of daily platelet demand were made by a least absolute shrinkage and selection operator (LASSO) model and a recurrent neural network (RNN) with long short-term memory (LSTM). Both models used the same set of 81 clinical features. Predictions were passed to a simulation of the blood inventory to calculate the possible reduction in waste and shortage as compared with historical data. Results From January 1, 2008, to December 31, 2018, the waste and shortage rates for platelets were 10.1% and 6.5%, respectively. In simulations of platelet inventory, waste could be lowered to 4.9% with the LASSO and 5% with the RNN, whereas shortages were 2.1% and 1.7% with the LASSO and RNN, respectively. Daily predictions of platelet demand for the next 2 days had mean absolute percent errors of 25.5% (95% CI 24.6%-26.6%) with the LASSO and 26.3% (95% CI 25.3%-27.4%) with the LSTM (P=.01). Predictions for the next 4 days had mean absolute percent errors of 18.1% (95% CI 17.6%-18.6%) with the LASSO and 19.2% (95% CI 18.6%-19.8%) with the LSTM (P<.001). Conclusions Both models allow for predictions of platelet demand with similar and sufficient accuracy to significantly reduce waste and shortage in a retrospective simulation study. The possible improvements in platelet inventory management are roughly equivalent to US $250,000 per year.
Zinc-Responsive Acral Hyperkeratosis: A Report of a Rare Entity

Chronic acral hyperkeratotic dermatosis includes several conditions such as lichen simplex chronicus (LSC), hypertrophic lichen planus (HLP), psoriasis vulgaris (Ps), acral acanthosis nigricans, acquired zinc deficiency, and necrolytic acral erythema (NAE). LSC, Ps, and HLP respond to conventional treatments such as topical corticosteroids, immuno-modulators such as tacrolimus, and oral methotrexate. Zinc-responsive acral hyperkeratosis is a novel entity that resembles the above mentioned diagnoses clinically but fails to respond to the above treatment options. NAE is a rare condition, commonly associated with hepatitis C virus infection and manifest similar clinical features of zinc-responsive acral hyperkeratosis, but differs histopathologically. Both conditions show a good response to oral zinc supplementation. As there is a paucity of literature on zinc-responsive acral hyperkeratosis, we are highlighting the case.
Reduction of peak to mean ratio of multicarrier modulation using cyclic coding

A very simple 3/4 rate cyclic code is proposed for the reduction of the peak to average power ratio of multicarrier modulation. The proposed code may be applied for any number of carriers which is a multiple of four. It is shown that the peak to average power ratio can be reduced by more than 3 dB. Numerical computations fully support the result obtained.
Elemental Metals in Agricultural Soils along Two Tributaries of Chaohu Lake: Implication on Soil Erosion Caused Enrichment in Sediments

Agricultural soil as a potential source of input of heavy metals into the lacustrine sediments of Chaohu Lake via soil erosion and weathering has not been well documented. In the present study, rice soil samples along two main tributaries of Chaohu Lake were collected to determine 30 metal elements which were compared with the data on the elements in surface sediments of Chaohu Lake to explore the impacts of soil erosion on the accumulation in the sediments. The results showed that the concentrations of most elements were less than their soil background values of Anhui Province, but Se, Sb, Sn, As, and Ba were greater than the corresponding background values. Furthermore, these elements except for Sc in the soils appeared a low variability in spatial distribution. Enrichment factor (EF) also suggested that most elements were minimally enriched, but Se, Th and As were found with moderate enrichment in the study areas. More than 90% of agricultural soils were not expected with significant contamination by the residual elements based upon the consideration of pollution level index (PLI) combining probabilistic density function. Compared with the residual elements in the surface sediments of Chaohu Lake, most elements (Ti, Mn, Zr, Sr, Zn, Ga, Hf, U, Se, Sn, Nb, Th, V, Cd) appeared depletion in agricultural soils but enrichment in sediments. Specially for Cd, it was not detectable in all soils samples, but it existed at an extreme average content in the lacustrine sediments. These results possibly implied that elements in agricultural soils in Chaohu Lake were depleted because of soil erosion and weathering during long-term agricultural practice, resulting in enrichment in sediments of the lake. The depletion of elements in soils was predominately due to the fact that these metals existed in the soil with a large mobile fraction. While As, Th and Se moderately accumulated in the soils due to their insusceptibility of transport potentials. Because Sr and U are easier to be leached from soils than Rb and Th, respectively, a greater ratio of Rb/Sr and a lower value of U/Th was found in soil samples than in sediments. Therefore, our study implied agricultural soils could play an important role in the input of heavy metals into sediments via soil erosion and weathering.
The Efficiency of Mg-Al/Biochar for Methyl Orange and Methyl Red Removal

MgAl-LDH was directly impregnated with biochar to fabricate MgAl-Biochar (MgAl/BC) and applied to remove methyl orange (MO) and methyl red (MR). The XRD, BET, FTIR, TG-DTA and SEM analyses were conducted to characterize the prepared material. The result of XRD characterization diffraction peaks at 11.47, 22.86, 34.69, and 61.6 shows that the precursor was successfully transformed to MgAl-BC. The FT-IR analysis at vibration 1010, 1381,3447 and 1635 cm-1 illustrated that the composite was well formed. The BET analysis showed that the surface area of the MgAl-BC composite was 111.404 m2/g which was larger than that of the precursor, equal to 23.15 m2/g. The kinetic model of the adsorption study both MR and MO were fitted to PSO and followed the Langmuir model with adsorption capacities for MR 142.857 mg/g and MO 128.205 mg/g. The regeneration study of composite indicated higher efficiency than the pristine and show good stability of adsorption process in five cycles.
Learning to Write Killer Apps? A Specialist/Trans-Specialist Perspective in Developing Innovations for the Marketplace

Commercially successful but not necessarily high-tech innovations can change the fortunes of firms and the quality of lives of many. This paper argues that while groups of specialists can quickly bring together knowledge from multiple domains in developing and implementing innovative ideas, a typical lack of system-wide perspective would prove to be a constraint over successive innovations. In contrast, a single individual who acquires specialist knowledge in multiple domains would avoid this constraint, but would incur a penalty to acquire knowledge across domain boundaries upfront. This leads to two opposing performance predictions on the performance of successive innovations: an increasing trend at a decreasing pace for the former and a J-shape for the latter. Moreover, experience developing solo innovations strengthens the performance for subsequent group innovations. These hypotheses are supported by empirical data on the download performance of third-party software applications written for use within the Facebook social networking context.
Study of the Effects of Managers’ Professional Ethics on the Decision-Making Strategies: Moderator Role of Information Management Systems Capacity

Background: Ethical principles applied in organizations can broaden individual and corporate priorities beyond profit and shareholder enrichment. Ethical factors may influence leaders to make sound decisions to protect the organization from unethical behavior. The present research seeks to investigate the effects of managers' professional ethics on decision-making strategies regarding the role of the capacity of information management systems capacity in the managers of Islamic Azad University, Mashhad Branch. Method: The present study is a descriptive-comparative study. The population in this study is determined to be a group of managers of Islamic Azad University, Mashhad Branch concluding 111 individuals. Data collection was conducted through questionnaires of professional ethics, decision-making strategies, and information systems capacity. The sample size was obtained utilizing the Cochran's formula and the data collection was performed using simple stratified random sampling method. SPSS and Smart PLS were used to analyze the statistics and the structural equation modeling method was used to answer the research hypotheses. Results: The results showed that managers’ professional ethics has an impact on decision-making strategies, but information systems capacity does not modify the influence of managers’ professional ethics on decisionmaking strategies. Conclusion: Professional ethics affects decision-making strategies at Mashhad Islamic Azad University. Therefore, observance of ethical issues in the organization, especially in dealing with managers with employees is a need and respect should always be considered so that the employees feel more committed to their work and organization.
Predicting Moral Behavior based on Psychological Health, Lifestyle and Prosocial Behaviors

Background: Due to the prevalence of immoral behaviors, it is necessary to study ethical behaviors and identify its predictors with the aim of promoting ethical behaviors. Therefore, the aim of this study was to predict moral behavior based on psychological health, lifestyle and prosocial behaviors. Method: This was a descriptive-analytical correlational study. The study population of principals and deputies of the second year of high school in Tehran in the academic year 2009-2010 was 2973 people. The sample size based on Cochran's formula was estimated to be 340 people who were selected by multi-stage cluster sampling method. The research instruments were the Ethical Behavior Inventory, the Psychological Health Scale, the Health Promoting Lifestyle Profile, and the Prosocial Behavior Questionnaire. Data were analyzed by Pearson correlation coefficient and multiple regression tests simultaneously in SPSS software version 25. Results: The results showed a significant relationship between psychological health (r = -0.35), lifestyle (r = 0.27) and societal behaviors (r = 0.41) with moral behavior (P <0.01). Other results showed the effective role of mental health, lifestyle and prosocial behaviors in predicting moral behavior (R2 = 0.39, P <0.001). Conclusion: According to the results of this study, planning to improve moral behavior based on psychological health, lifestyle and prosocial behaviors is essential.
Creativity and innovations in Ugandan libraries: case of Makerere University Library

Library development has come a long way from the time of clay tablets and scrolls to the present times when ICTs are dominating the information scene. In every decade, there has been a tangible development ranging from the early technology of type writer use to the present era of virtual libraries. All stages have each left their mark and impacted on the success of library services. In the 21st Century, the dominant driver in library and information services is rapid technological advancement involving several technologies including mobile applications and social media. In Africa, apart from technological innovations librarians have creatively and innovatively improved upon service delivery using a variety of ways and approaches. The aim of this paper is to highlight the services/products and approaches that librarians in Uganda, particularly Makerere University have implemented to meet the ever changing needs of library users.
Historical Perspective on Horizontally Curved I Girder Bridge Design in the United States

This paper provides a historical overview of the development of horizontally curved steel I girder bridge design specifications in the United States. The background to the development of curved I girder design and analysis provisions in the 1993 and 2003 AASHTO Guide Specifications for Horizontally Curved Highway Bridges is discussed, and the status of recently completed and ongoing curved steel bridge research projects is summarized. In addition, the manuscript focuses on how the 2003 Guide Specifications can be used to analyze and design horizontally curved I girder bridges. Comparisons are made to prior provisions in the 1993 Guide Specifications.
Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques

The global market for organic cocoa beans continues to show sturdy growth. A low-cost handheld NIR spectrometer (900-1700 nm) combined with multivariate classification algorithms was used for rapid differentiation analysis of organic cocoa beans' integrity. In this research, organic and conventionally cultivated cocoa beans were collected from different locations in Ghana and scanned nondestructively with a handheld spectrometer. Different preprocessing treatments were employed. Principal component analysis (PCA) and classification analysis, RF (random forest), KNN (K-nearest neighbours), LDA (linear discriminant analysis), and PLS-DA (partial least squares-discriminant analysis) were performed comparatively to build classification models. The performance of the models was evaluated by accuracy, specificity, sensitivity, and efficiency. Second derivative preprocessing together with PLS-DA algorithm was superior to the rest of the algorithms with a classification accuracy of 100.00% in both the calibration set and prediction set. Second derivative algorithm was found to be the best preprocessing tool. The identification rates for the calibration set and prediction set were 96.15% and 98.08%, respectively, for RF, 91.35% and 92.31% for KNN, and 90.38% and 98.08% for LDA. Generally, the results showed that a handheld NIR spectrometer coupled with an appropriate multivariate algorithm could be used in situ for the differentiation of organic cocoa beans from conventional ones to ensure food integrity along the cocoa bean value chain.
SAFETY IMPACTS OF DESIGN EXCEPTIONS IN UTAH

The objective of this research was to compare safety, measured by expected crash frequency and severity, on road segments where design exceptions were approved and constructed to similar road segments where no design exceptions were approved or constructed. Data were collected for design exceptions in Utah in the years 2001 through 2006. Design exception request and approval forms, Google Earth, Google Street View, Utah Department of Transportation (UDOT) functional classification maps, and UDOT traffic volume data were used to identify and define road segments with and without design exceptions. Ultimately, a total of 48 segments with design exceptions and 132 segments without design exceptions were used for modeling. Propensity scores were applied in this study to assess the comparison sites (i.e., sites without design exceptions). The relationship between design exception presence and crash frequency was explored using a negative binomial regression modeling approach. The relationship between design exception presence and crash severity was explored in three ways: 1) computing severity distributions at locations with and without design exceptions, 2) estimating separate negative binomial regression models by severity level, and 3) estimating multinomial logit models. Design exception presence was represented in the regression models by an indicator variable (1 = one or more design exceptions; 0 = no design exceptions). Crash data from the years 2006 through 2008 were used for model estimation. Road segments with one or more design exceptions had the same expected frequencies of total crashes (all types and severities), fatal-plus-injury crashes, and property-damage-only crashes as road segments without design exceptions. There were no detectable differences in the severity distributions of crashes occurring on roads with one or more design exceptions when compared to crashes occurring on roads without any design exceptions.
Microphonics measurements in SRF cavities for RIA

Phase stabilization of the RIA drift tube cavities in the presence of microphonics will be a key issue for RIA. Due to the relatively low beam currents (/spl les/0.5 pmA) required for the RIA driver, microphonics will impact the rf power required to control the cavity fields. Microphonics measurements on the ANL /spl beta/=0.4 single spoke cavity and on the ANL /spl beta/=0.4 two-cell spoke cavity have been performed many at high fields and using a new "cavity resonance monitor" device developed in collaboration with JLAB. Tests on a cold two-cell spoke are the first ever on a multi-cell spoke geometry. The design is essentially a production model with an integral stainless steel housing to hold the liquid helium bath.
Efficacy of Thin Hair Removal by Dynamic Application of 810-nm Diode Lasers: In Silico and Clinical Comparative Study of Two Laser Powers: 4,800W and 1,000W

Background: Photoepilation of thin hair still represents a challenge for aesthetic medicine. Current commercially available photoepilation devices present limitations for thin hair removal, where efficacy mainly depends on parameters like pulse duration and applied fluence. Objective: This study aims to verify the hypothesis that a dynamic mode (multiple passes with a low fluence and high repetition rate) using a short pulse duration provides better results than longer pulse durations, while still being safe and comfortable. Materials and methods: In order to define the best parameters for the laser set-up, we hereby provide an in silico study as well as a prospective clinical comparison of the efficacy of thin hair removal using the dynamic mode. Short laser pulses with a high laser power (3 ms with the 4,800W, 810-nm Primelase device) as well as longer pulses with a moderate power (11/14 ms with the Primelase device adjusted to 1,000W), reaching identical fluence doses, have been applied in three sessions in a side-by-side study with fourteen subjects on different parts of the body. The efficacy, side effects, and degree of satisfaction of the subject and investigator were assessed. Results: The results predicted by the simulation were corroborated by the clinical data. Using the shortest pulse duration, simulations revealed an average improvement of 15% with original-size hair, and a significantly greater improvement of 21% with the residual thinned hair. Hair counts performed three months after the third treatment showed an overall main hair reduction of 64% on the side treated with the pulse duration of 3 ms, and 55% on the side treated with longer pulses of 10 ms and 14 ms (which represents a 16% greater efficacy with 3ms, with a p-value of <0.024), with a maximum difference of 73% and 46% respectively (59% improvement) in the upper leg where the hair is thinner. The investigator rated 64% of the areas treated with 3 ms as producing good results, compared to only 36% of the areas treated with 10 and 14 ms (p<0.019). In addition, only mild and temporal side effects were reported, without remarkable differences between both sides. Conclusions: This clinical study corroborates the results of the simulations which predicted that the dynamic mode of the 4,800W diode laser device would be more effective than other systems with less power, while also being comfortable and safe. Nevertheless, more subjects as well as more sessions and an evaluation of long-term results would be needed to validate the simulations that predict even better results for the residual thinned hair. Keywords— Residual thin hair, 810-nm diode laser, Dynamic mode, Short and long pulse, Hair removal, Primelase.
Factors affecting the effectiveness of the approaches used in psychotherapy when addressing depression among young adults at teachers’ colleges in Zimbabwe

*Author’s Email: jnzvenga@gmail.com The study looked at the characteristics that influence the effectiveness of psychotherapy treatments used to treat depression in young adults in Zimbabwean teachers' colleges. The study used a mixed research approach and a post-positivism paradigm. Concurrent triangulation was employed in the design. Data was gathered through the use of questionnaires and interviews. The sample included 206 people: 180 students, 2 vice principals, 2 deans of students, 13 department heads, 1 chaplain, and 8 counsellors. Tables with figures and percentages were used to code and analyse quantitative data. As substantiating data, qualitative data was analysed using content and thematic data. The study's findings revealed that a lack of educated personnel, funding, material resources, attitudes, and environmental variables such as poor ventilation, noise, and unwanted disturbances all had a detrimental impact on the success of depression treatment procedures. The study advised that the current procedures be improved by providing/hiring more trained counselling experts, providing enough financing, obtaining material resources, developing positive attitudes, and providing a conducive environment. The study also recommended that stakeholders create a policy outlining expectations and practices that may improve the effectiveness of psychotherapy treatments.