Miracle-dz/UniFAR-FTUs huggingface dataset:
BALLISTIC PROPERTIES PREDICTION FOR VARIANT BUTALITES COMPOSITIONS, AN EASY ABSTENTION TECHNIQUE

Ballistic properties for variant Butalites formulations based on Ammonium perchlorate (AP) and hydroxy terminated polybutadiene with some other additives were practically investigated then theoretically predicted. The predictions were investigated for formulations with burning rates ranging from 0.26 to 17.94 mm/sec at 70 bar. The predictions were performed using the developments applied to the basic model of multiple flames, the BDP model. The developments were established over the model equations using an easy abstention technique, without multiple flame standoff distances. The results were verified by considering AP regression as the rate-controlling step in combustion, by introducing the additives to the model equations in a passive technique, by the use of a one-dimensionally limited temperature profile to estimate the propellant surface temperature, and by solving the combustion equations iteratively for the mass flux and surface temperature until they reached the required convergence. A computer program was established for obtaining the linear burning rate, surface temperature and other ballistic properties of the previous formulations. The results showed that the predicted linear burning rates were acceptable and verified the international acceptance margins in this field.
Pengaruh Kompensasi, Motivasi Dan Lingkungan Kerja Terhadap Kinerja Pegawai Unit Pelaksana Teknis Dinas Pengelolaan Sumber Daya Air Kabupaten Nganjuk

The formulation of the problem in this study is the effect of compensation, motivation and work environment on the performance of UPTD PSDA Nganjuk employees. This study aims to find out whether compensation, motivation and work environment influence the performance of UPTD PSDA Nganjuk employees. In this study, the population is a contract staff of 100, the sampling uses the Slovin formula, which is a sample of 80 respondents. Based on the results of the study, the regression equation is obtained as follows: Y = 1.135 + 0.259 X1 + 0.408 X2 + 0.212 X3. Based on the results of statistical data, the indicators of this study are valid and the variables are reliable. In the normality and multicollinearity test the data of this study were normally distributed and there were no multicollinearity disorders. The results showed that the value of t count was 2.752 for compensation, 2.860 for motivation and 2.253 for the work environment with t table values of 1.668 (t count> t table) which means that the three variables affect each of the performance variables. The results of the F test show that the value of F count is 10.080 with a significant level of 5% and it is known that the significance value of 0.000 is smaller than o, 05 which means that the three variables affect the employee performance variable. Rumusan masalah dalam penelitian ini adalah pengaruh kompensasi, motivasi dan lingkungan kerja terhadap kinerja pegawai UPTD PSDA Nganjuk. Penelitian ini bertujuan untuk mengatahui apakah kompensasi, motivasi dan lingkungan kerja bepengaruh terhadap kinerja pegawai UPTD PSDA Nganjuk. Dalam peneltian ini, Populasi adalah pegawai tenaga kontrak yang berjumlah 100 maka pengambilan sampel menggunakan rumus Slovin yaitu sampel yang digunakan sebesar 80 responden. Berdasarkan hasil penelitian, diperoleh persamaan regresi sebagai berikut: Y= 1,135 + 0,259 X1 + 0,408 X2 + 0,212 X3. Berdasarkan hasil data statistic, indikator- indikator penelitian ini bersifat valid dan variabelnya reliable. Pada uji normalitas dan multikolinieritas data penelitian ini terdistribusi normal dan tidak terjadi gangguan multikolinieritas. Hasil penelitian menunjukkan bahwa nilai t hitung masing-masing sebesar 2,752 untuk kompensasi, 2,860 untuk motivasi dan 2,253 untuk lingkungan kerja dengan nilai t tabel sebesar 1,668 (t hitung> t tabel) yang artinya bahwa ketiga veriabel tersebut berpengaruh masing-masing terhadap variabel kinerja. Hasil uji F menunjukkan nilai F hitung sebesar 10,080 dengan taraf signifikan sebesar 5% dan diketahui nilai signifikansi 0,000 lebih kecil dari o,05 yang arti ketiga varioabel tersebut berpengaruh bersam-sama terhadap variabel kinerja pegawai.
Population targeted requirements acquisition

ABSTRACT We use social science theories, design science research methodology, and our experience in five development projects to design principles for selecting or adapting requirements acquisition (RA) techniques for use with populations of customers and users. The information systems (IS) literature has not systematically focused on the adaption of RA techniques to particular populations. We developed a nascent design theory for RA to target specific populations to define functional requirements for new IS. Five reference theories – personal construct theory, theory of disability, diffusion of innovations, social actor theory, and media richness and information synchronicity theory – support the design. The theory was evaluated iteratively with five client organisations, involving more than 200 participants.
Board Diversity Reforms: Do They Matter for EU Bank Performance?

We examine the impact of governance reforms related to board diversity on the performance of EU banks. Using a difference-in-difference approach, we document that reforms increase bank stock returns and their volatility within the first three years after their enactment. The type of reform matters, with quotas increasing return volatility more compared to affirmative actions. The effectiveness of reforms depends on a country's institutional environment. The impact on volatility is lower in countries more open to diversity, with common law system and with higher economic freedom. Finally, reforms play a bigger role in banks that have ex-ante less heterogeneous boards.
Partial discharge risk under space charges generation and transport effects

Based on a topological model from power busbars designed for hybrid aircraft propulsion, simulations of partial discharges risks induced by space charge accumulation in PTFE has been developed under Comsol Multiphysics® (CM) through a bipolar model of charge generation and transport. The model was implemented by using the General Form PDE of Mathematics modules. The simulation results were focused on the risk of partial discharges appearance in air surrounding the busbars. Both space charge generation and transport mechanisms within PTFE busbar solid insulators, show a significant impact of the nature, the quantity and the space-time distribution of accumulated charges on partial discharges inception in air.
Knowledge, Attitude, and Practice of Contraception among Pregnant Women in Ende District, East Nusa Tenggara, Indonesia

110 ABSTRACT Introduction: Indonesia has the fourth largest population in the world with 255.7 million people and a rate of birth of 21 per 1,000 population. There is also a high rate of unmet need and total fertility rate (TFR), which can potentially lead to unwanted pregnancies, consequently increasing the maternal mortality rate (MMR). Thus, family planning program through postpartum contraceptive use is one of the efforts to reduce the MMR and TFR. This study is conducted to assess the knowledge, attitude, and practice (KAP) of contraception among pregnant women in Ende district.
Advanced Automatic Lexicon with Sentiment Analysis Algorithms for Arabic Reviews

Sentiment analysis is a statistical analysis of people’s attitudes, directions and emotions about a specific domain. The advance of telecommunication networks makes it very important to develop different sentiment analysis algorithms for gathering information of user preferences from multiple specialized sources. The next step is to analyze the polarity of information and finally gain and predict knowledge to anticipate future results. Arabic language has gained much interest in the past few years because of its wide morphological and linguistic terms. In this study, automatic lexicons for both modern standard Arabic and colloquial vocabularies are developed for multi-domain classical and vernacular terms. In addition, new novel sentiment analysis algorithms are presented, developed and implemented for analyzing the polarity of multi-domain datasets and increasing efficiency and flexibility of sentiment lexicons. The sentiment analysis algorithms are used for analyzing datasets based on their intensification weights to increase the performance of lexicon analyzer. The experimental results show high accuracy, precision, recall and F-measure compared with other recent research experiments.
Testing the Effects of Peak, End, and Linear Trend on Evaluations of Online Video Quality of Experience

While previous research has shown that the sequencing of good and bad experience is an important predictor of overall evaluations of a set of experiences, the impact of sequencing effects on the experience of viewing online video has yet to be established. The aim of this study was to determine whether different sequences of good (G), mediocre (M), and bad (B) quality videos in different blocks would influence overall ratings after viewing those blocks. Thirty-two participants each watched 10 blocks of 4 videos and provided ratings of technical quality (TQ), satisfaction, and frustration for each video in the block, as well as overall ratings for each block (as a whole). Sequences of G, M, and B videos were designed to test whether block characteristics (features), like the peak-end effect and effect of linear trend, influenced summary evaluations of the block service. The results of the experiment show that overall block TQ, satisfaction, and frustration ratings differed significantly by sequencing feature. Difference scores were used to determine whether the features had an effect on overall evaluations beyond what could be explained by the total number of bad videos in the block or the average ratings of the videos in the block. Results showed a significant end effect for negative ends of a block, and an effect of linear trend (both increasing and decreasing). There was no evidence of a peak effect or an end effect for positive ends. The presence of a negative end effect and effect of linear trend indicate that where possible service providers should avoid service sessions with poor service quality at the end, or sessions that have decreasing quality as the session progresses.
An autonomous lightweight conditional privacy-preserving authentication scheme with provable security for vehicular ad-hoc networks

ABSTRACT Vehicular ad hoc network (VANET) is an emerging technology in wireless communications which has the prospect to improve traffic safety and efficiency, as well as reduce air pollution. The traffic-related messages transmitted between vehicles and roadside units must be signed and verified without revealing the real identities of the vehicles. However, an authorized trusted party must be able to obtain the real identity of a vehicle on a controversial message. Existing conditional privacy-preserving authentication (CPPA) schemes in VANETs either rely on a tamper-proof device or complex mathematical operations such as bilinear pairing and map-to-point hash function or cannot meet the privacy and security requirements in VANETs. In this work, we propose an efficient CPPA scheme for VANETs based on the elliptic curve cryptography without relying on any hardware device. The scheme satisfies the security and privacy requirements of VANETs, solves private key compromise problem, and provides countermeasure against privilege escalation. We show that the scheme is existentially secure against an adaptive chosen message and identity attacks in the random oracle model based on the hardness of the elliptic curve discrete logarithm problem. The performance results show that the proposed scheme is more efficient than previous schemes in VANETs.
Lexical variation, register and explicitation in medical translation: A comparable corpus study of medical terminology in US websites translated into Spanish

Differences in register, lexical use, syntactic shifts or determinologization strategies between source and target medical texts can produce usability or comprehensibility issues ( Askehave and Zethsen 2000a ; Tercedor and Lopez 2012 ; Nisbeth Zethsen and Jensen 2012 ; Alarcon, Lopez-Rodriguez, and Tercedor 2016 ). This study analyzes differences in lexical variation between translated and non-translated online medical texts resulting in potential register shifts, also known as “register mismatches” ( Pilegaard 1997 ). The study uses a corpus methodology to compare (1) the frequency of Latin-Greek (LG) terms in translated medical websites in the USA and in similar non-translated texts in Spain and Latin America, and (2) the frequency of determinologization and explicitation of LG terms in both textual populations. The results show that US medical websites translated into Spanish show lower frequencies of LG terms and higher frequencies of reformulation strategies than similar non-translated ones; they are partly explained through the process of interference from source texts.
Text Based Analogy in Overcoming Student Misconception on Simple Electricity Circuit Material

Some researcher have found that the use of analogy in learning and teaching physics was effective enough in giving comprehension in a complicated physics concept such as electrical circuits. Meanwhile, misconception become main cause that makes students failed when learning physics. To provide teaching physics effectively, the misconception should be resolved. Using Text Based Analogy is one of the way to identifying misconceptions and it is enough to assist teachers in conveying scientific truths in order to overcome misconceptions. The purpose of the study to investigate the use of text based analogy in overcoming students misconception on simple electrical circuit material. The samples of this research were 28 of junior high school students taken purposively from one high school in South Jakarta. The method use in this research is pre-experimental and design in one shot case study. Students who are the participants of sample have been identified misconception on the electrical circuit material by using the Diagnostic Test of Simple Electricity Circuit. The results of this study found that TBA can replace the misconceptions of the concept possessed by students with scientific truths conveyed in the text in a way that is easily understood so that TBA is strongly recommended to use in other physics materials.
Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm

This article proposes an intelligent transient calibration method for the air-path controller of a light-duty diesel engine. This method is developed based on the chaos-enhanced accelerated particle swarm optimization algorithm. The target is to reduce the engine’s fuel consumption during transient scenarios by optimizing the controller parameters. The advanced dual-loop exhaust gas recirculation system is first introduced. Then, it formulates the transient calibration process as a multiple-objective optimization problem with constraints. Different from steady state calibration, the proposed method designs a new cost-function to evaluate the controller’s transient performance. The intelligent transient calibration module is programmed in MATLAB code. Interface between the calibration module and a physical engine plant is established via ETAS INCA. The optimization result of the proposal method is discussed by comparing it with the result of existing calibration methods. The engine performance with the calibrated controller is evaluated based on engine tests.
Optimal placement and operation of novel grid technologies in distribution grids

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Using Social Tags and Controlled Vocabularies As Filters for Searching and Browsing: A Health Science Experiment

The retrieval of health information on the Web is limited by the vocabulary gap between the human searcher and the terms used by authors of medical documents. Social tagging and Medical Subject Headings (MeSH) have the potential to help close this gap by providing peer and professionally created terms that may be valuable in guiding searchers to health information resources. Search interfaces that provide terms to modify or expand healthrelated queries can help searchers fully explore unfamiliar concepts. In this paper we present a search system enhanced with social tags and MeSH terms, and report the results of an experiment exploring its use. Our prototype interface exposed terms to users that could be used to modify search queries, and was rated useful by participants in a user study.
Rate of Distribution of Breast Lump in Different Quadrants with Their Cytological Findings in Both Sex

Background: The breast lump is a localized swelling, protuberance, bulge, or bump in the breast that feels different from the breast tissue around it or the breast tissue in the same area of the other breast. Objective: The purpose of the present study was to find out the frequency of breast lump in different quadrants and their cytological findings. Methodology: The present study was carried out at the Department of Pathology, Chittagong Medical College, Bangladesh one-year period from May 2005 to June 2006. This study was cross sectional which included 110 cases of breast lump. The patients with breast lump were received from indoor and outdoor patient Department of Surgery, Chittagong Medical College, Bangladesh. The patient presents with definite palpable lump, irrespective of age and sex were included in this study. Result: This study shows only 1.8% male were found central quadrant individual breast. In female maximum (46.4%) were found in upper & outer quadrant individual breast. Right sided of affected breast in highest percentage of upper & outer quadrant individual breast (21.8%). Also shows left side of affected breast in highest percentage of upper & outer quadrant individual breast (24.5%). It was observed that maximum (34.5%) upper & outer quadrant individual breast was seen in benign lesion and (3.6%) were suspicious. But maximum (12.7%) were show multiple in malignant lesion. Conclusion: In conclusion highest frequency of patients are reported in upper outer quadrant breast lump followed by multiple, central, lower & inner and lower & outer. It also observed that the upper outer quadrant is the most commonly affected quadrant in benign and multiple quadrant the malignant breast neoplasms. Journal of National Institute of Neurosciences Bangladesh, 2019;5(1): 69-71
Predictors of mortality of pediatric burn injury in the Douala General Hospital, Cameroon

Introduction Burn injuries are a major cause of hospitalization and are associated with significant morbidity and mortality, particularly in children aged four years or below. In Cameroon, the mortality rate of pediatric severe burns was estimated at 41.2%. There is need to determine the predictors of such mortality in order to guide appropriate management. Methods This study is aimed at assessing the predictors of mortality of pediatric patients who sustained a burn injury over a period of 11 years (between 1st of January 2006 and 31st of December 2016) in Douala General Hospital (DGH). The data for this study was entered in an electronic questionnaire and analyzed using Epi info version 7. All variables thought to be associated with mortality were entered in a multiple binary logistic regression model. The magnitude or risk was measured by odds ratio, and the 95% confidence interval was estimated. Results A total of 125 cases of pediatric burns were recorded over the study period. A total of 69 (55.65%) were males, giving a male to female ratio of 1.25:1. The median age was 4 years. Most pediatric burns resulted from accidents. Most patient 78 (69%) came before 8 hours following injury. Scalding was the predominant mechanism of injury in 56 (45.5%) of patients. Most patients had partial thickness burn and most burns involved 1-9.9% body surface areas (BSA). The mean length of hospital stay in this study was 7 days, more than half of the patients had no complications during admission. Among those that developed complications, 19 (35%) developed sepsis. Conclusion Mortality rate of pediatric burns obtained in this study was 29%, mostly due to cardiac arrest. Flame burns (p=0.03) and BSA >25% (p=0.001) were statistically significant predictors of mortality.
Metaphorical Association Between Physical and Moral Purity in the Context of One’s Own Transgressions and Immoral Behavior of Others

Abstract The Macbeth effect is a metaphorical association between physical and moral cleanliness - transgression of one’s morality leads to increased desire to clean oneself (Zhong & Liljenquist, 2006). Earlier studies examined psychological associations between bodily and moral purity according to controlled processes, such as rating product desirability. The influence of the Macbeth effect on more automatic processes (stimuli processing speed) was explored in three studies. We examined whether thinking about one’s moral transgression (Studies 1 and 3) or others’ immoral behavior (Study 2) contributed to slower reaction times (RTs) to stimuli related to physical purification. It seems that automatic processes may also be affected by the metaphor “morality is purity”: It is manifested in slower RTs to stimuli associated with bodily cleansing when recalling one’s own past transgressions (Study 3) and in slower responses to words connected with purification of the external world while recalling immoral behaviors of others (Study 2).
Application of XGBoost algorithm in hourly PM2.5 concentration prediction

In view of prediction techniques of hourly PM2.5 concentration in China, this paper applied the XGBoost(Extreme Gradient Boosting) algorithm to predict hourly PM2.5 concentration. The monitoring data of air quality in Tianjin city was analyzed by using XGBoost algorithm. The prediction performance of the XGBoost method is evaluated by comparing observed and predicted PM2.5 concentration using three measures of forecast accuracy. The XGBoost method is also compared with the random forest algorithm, multiple linear regression, decision tree regression and support vector machines for regression models using computational results. The results demonstrate that the XGBoost algorithm outperforms other data mining methods.
Exportweltmeister: The Low Returns on Germany's Capital Exports

Germany is world champion in exporting capital ("Exportweltmeister"). No other country invests larger amounts of savings outside its borders. However, Germany plays in the third division when it comes to investment performance, as we show in this paper. We study the returns on German foreign investments from 1950 to 2017 and find that: (1) Germany's annual returns on foreign assets were 2 to 5 percentage points lower than those of comparable countries. Germany ranks last among the G7 countries, also in the last decade; (2) Domestic returns on German assets have outperformed foreign returns abroad by about 3 percentage points per year; (3) Germany's external wealth provides very little consumption insurance as foreign returns are highly correlated with domestic activity; (4) The capital exports do little to diversify demographic risks as Germany mainly invests in countries with similar demographics. Taken together, these facts raise substantial doubts whether German households, firms, and banks allocate their savings in a beneficial way.