Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Self-Efficacy and Health Promoting Behaviour among Older Adults with Chronic Illness

Self-efficacy plays an essential role in increasing health-promoting behaviour among older adults with chronic illness. Chronic illness requires high self-efficacy to manage the disease appropriately. Hence, the purpose of this study is to identify the relationship between self-efficacy and health-promoting behaviour among older adults with chronic illness. A cross-sectional study was conducted using a self-administered questionnaire to 218 older adults. The results from this study found a relationship between self-efficacy and health-promoting behaviour exists at rho 0.28 and p-value 0.001. This study revealed that self-efficacy strongly relates to health-promoting behaviour among older adults.eISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
Multi-Band Hand of God Antenna with Functionality Variation with Use of Slots and Feed Position

Article history: Received:02 May, 2019 Accepted:25 May, 2019 Online: 18 June, 2019 This article investigates different versions of a new multi-band micro-strip antenna design. NASA inspired the antenna design from “Hand of God” galaxy discovery. A multi-band operation between 0.15 and 8 [GHz] is obtained and captures up to 10 frequency bands. The antenna has a small area of 4 x 5 cm and is printed on 1.6 mm epoxy-FR4 substrate. Adding slots and changing the feed position, led to different designs and increase in multiband operation. Moreover, varactors are mounted on antenna surface, which resulted in frequencies as low as 50 MHz and as high as 8 GHz when. S11 simulations results were successfully compared with measured ones. Applications include different mobile generations, TV and different IoT systems.
Analysis and Improvement of S-MAC Protocol of Wireless Sensor Network

Wireless sensor network is an emerging technology that has a wide range of potential applications including environment monitoring, smart spaces, medical systems and robotic exploration. Medium access control(MAC) is one of the most important protocols that enables the efficient operation of the network. Describes S-MAC, a typical MAC protocol for wireless sensor network, completely, points out some disadvantages of this protocol and give some solutions for improvement.
The Role of Job Satisfaction on Employee Work Productivity

Job satisfaction has a role of influencing work productivity. This study aims to empirically examine the role of job satisfaction on employee work productivity at the University of X Yogyakarta. The research sample is permanent and active employees who have worked for at least one year. The selection of research samples is done through randomization, with a simple random sampling technique. Methods of data collection are done by using the scale of work productivity and job satisfaction scale. Data analysis used in this research is product moment test from Pearson. The results showed that there was a very significant positive relationship of (rxy) = 0.427 and with a significant level of p = 0.006 (p <0.01). The higher the job satisfaction, the higher the work productivity, the lower the job satisfaction, the lower the work productivity. Keywords— employee, job satisfaction, work productivity
Creative Outcome as Implausible Utility

Two perspectives are used to reframe Simonton’s recent three-factor definition of creative outcome. The first perspective is functional: that creative ideas are those that add significantly to knowledge by providing both utility and learning. The second perspective is calculational: that learning can be estimated by the change in probabilistic beliefs about an idea’s utility before and after it has played out in its environment. The results of the reframing are proposed conceptual and mathematical definitions of (a) creative outcome as the product of two overarching factors (utility and learning) and (b) learning as a function of two subsidiary factors (blindness reduction and surprise). Learning will be shown to depend much more strongly on surprise than on blindness reduction, so creative outcome may then also be defined as “implausible utility. ”
Reflective Thinking Profile for Junior High School Students in Service Learning-based Science

This study aims to determine the reflective thinking profile of junior high school students who are taught with service learning in science learning for the topic of Digestive Systems. The design of this research is descriptive research. The research subjects were 32 students of grade VIII B of SMP N 1 Mlati, Indonesia. The instruments used were the reflective thinking questionnaire and reflection column sheet. The analysis technique used is descriptive analysis and gain score. The results of this study are the reflective thinking aspects of students can be developed through science learning based on service learning. The lowest results of the reflective thinking aspect questionnaire are mastered by students in the form of the ability to connect between problems in life with the content of science, while the highest is the ability to recognize problems.
Facility Agriculture Intelligent Monitoring System Based on Wireless Sensor Networks

Wireless sensor networks (WSN) technology is developed on the basis of micro-electro mechanism system (MEMS),system on chip (SOC),wireless communication,and low-power embedded technologies.WSN consists of a large number of cheap micro-sensor nodes deployed in the monitoring region,forms a multi-hop self-organization wireless communication network.Combined with the actuality of facility agriculture,a design scheme of intelligent monitoring system based on WSN was proposed.CC2530 chip in ZigBee protocol was taken as the sensor node and sink node to transmit,aggregate and fuse data.Combined with the database technology and expert decision-making system,the agricultural production automation and precision agriculture were realized.
A Longitudinal Study of Decision Making in the Process of Acquiring a Dog

ABSTRACT To prevent potential problems in the relationship between people and their dogs, it is important to engage in a thoughtful decision-making process with regard to acquiring a dog. To map the most important elements in the decision-making process, a social cognitive model was applied using seven psychological constructs: perceived advantages of having a dog; perceived disadvantages; the social norm; self-efficacy; optimism; expected commitment; and the intention to acquire a dog. People who were planning to acquire a dog within one year were asked to fill in an online questionnaire and another one 14 months later. The social cognitive constructs were operationalized in the baseline questionnaire, and in the follow-up participants were asked to report whether they had actually acquired a dog during the 14-month interval. The sample (n = 588) largely consisted of females (88%) and those who had a high level of education (64%). The mean age of the participants was 40.9 years. The data showed significant relations among the decision-making variables, and significant differences between demographic variables related to these. In univariate longitudinal analyses, several social cognitive variables significantly predicted acquiring a dog in the 14-month period. When intention to acquire a dog was entered into the multivariate model, it remained the only predictor (OR = 2.16, p < 0.001); the model explained 33% of the variance in acquiring a dog. It was possible to assess the main constructs that play a role in decision making regarding acquiring a dog: Most baseline measures were related to actual later behavior, also when taking into account all changes in other internal and external factors that may have taken place. Insight into the decision-making process makes it possible to intervene in it for the good of people, dogs, and their relationships.
Vehicle Detection and Tracking Based on the Local Binary Pattern Texture and Improved Camshift Operator

A method of extraction prospect,which uses the background image LBP(local binary pattern)texture and current frame image LBP texture similarity analysis,was put forward.This method overcomes the sensitivity to illumination methods in vehicle detection,such as frame difference method and background difference method.The Camshift tracking algorithm combines the H,S and V components,the improved LBP texture of the joint histogram with the centroid tracking by pyramid L-K optical flow.This method can effectively solve two problems:one that the similar background color may lead to the tracking of the target area bigger,and the other that the search window position accuracy is low when dealing with large displacement between frames of video.The experimental results prove that the method has good detection and tracking effect.
Improving of Hierarchical Phrase-based SMT Model Based on Prosodic Structure Information

With the intensive study of natural language processing,it does not only need to tap more potential linguistic information,but also need to try predict these knowledge by machine learning.And in order to improve the performance of machine translation,as well as for the computational linguistics.Prosody,as the knowledge of phonetics,has been widely applied to speech synthesis,text-to-speech,voice translation and other aspects of phonetics,which has played an irreplaceable role in speech processing.we introduce how and in which way prosodic information improve machine translation.And it proves that prosodic information is useful for hierarchical-phrased model in the experiment.
Speech recognition based on two-dimensional PMCC robust feature parameter

One of the key problems in noise speech recognition is how to extract the robust feature parameters.A two-dimensional root cepstrum feature parameter was first proposed,and then this parameter was combined with robust feature based on the Minimum Variance Distortless Response(MVDR)method of spectrum estimation proposed.Finally,a novel robust feature was presented to be successfully used in continuous speech recognition under different SNRs.Experimental results indicate that the two-dimensional PMCC robust feature parameter is superior to conventional Melt Frequency Cepstral Coefficients(MFCC)and Perceptually Linear Prediction(PLP)in improving the recognition accuracy under different noise conditions and SNRs.
A Meta-Analysis of Non-Repetitive Reading Fluency Interventions for Students With Reading Difficulties

This meta-analytic review investigated non-repetitive reading fluency interventions for K-12 students with reading difficulties. Eight studies met inclusion criteria. The approaches were distinguished by their intervention structures; student groupings; and text difficulty, length, and genre. The overall multivariate weighted average standardized mean difference with robust variance yielded an improvement of less than 0.2 SD (d = 0.176) for non-repetitive reading fluency interventions, but results were positive and statistically significant. The moderator analysis revealed that the effect on comprehension outcomes (d = 0.239) was slightly larger than fluency outcomes (d = 0.105), but differences between the magnitude of the two outcomes were not statistically significant. Moreover, there was no indication of concern for publication bias. Studies comparing repeated reading and non-repetitive reading fluency interventions produced reading outcomes similar in magnitude, with no significant differences. Results indicated that non-repetitive reading fluency instruction may be a feasible approach for students with reading difficulties.
Procedure neural networks based on being learned by hybrid genetic algorithm

A learning algorithm of procedure neural networks is proposed. After this input functions and the network weight functions are represented as expansion of a same orthogonal basis with orthogonality of basis functions, procedure neural networks is learned by hybrid genetic algorithm. In consideration of simplicity of calculation, weight bases function selection and function fitting method for discrete data are adjusted so as to reduce the error. And the availability and effectiveness of the algorithm is proved by forecast of timber growth ring density.
Using EOP and Space Weather Data for Satellite Operations

Since the demonstration of the first numerically generated space catalog by the United States Navy in 1997, a new issue exists of how to transition from the two-line element sets (TLEs) to routine use of numerical vectors in satellite flight dynamics operations. This generates some unique challenges. The historical TLE operations used analytically generated datasets which either ignored or approximated the precise coordinate system and force models required to accurately model the satellite. Numerical operations require precise adherence to a coordinate system and specific force models. In particular, the Earth Orientation Parameter (EOP) and space weather data are crucial to proper calculations using numerically generated state vectors. This paper investigates the available data, compares products within and between organizations, and provides a methodology for which data should be used for satellite operations.
Research of Controlled Worm Framework

Recently the explosive growth of network applications and its complexity,and the threat of Internet worms against network become serious increasingly.So the technology research about the Internet worm is very important.In this paper the author introduces the definition of worm,and analyses the flow chart of worm.Then it gives a point of the worm distributed framework which supports controlled configuration.At last described the flow chart of worm which based on the controlled worm functions.
Statistical Fallacy: A Menace to the Field of Science

Statistical fallacy has been a menace in the field of sciences. This is mostly contributed by the misconception of analysts and thereby led to the distrust in statistics. This research investigated the conception of students from selected departments on statistical concepts as it relates statistical fallacy. Students in Statistics, Economics, Psychology, and Banking/Finance department were randomly sampled with a sample size of 36, 43, 41 and 38 respectively. A Statistical test was conducted to obtain their conception score about statistical concepts. A null hypothesis which states that there will be no significant difference between the students’ conception of statistical concepts with respect to their departments was tested using One-way Analysis of Variance (ANOVA). The hypothesis was rejected based on F(3,157) = 23.471 and p-value < 0.001 which suggests statistical significant difference in their conceptions. It was then found out that Statistics students have a higher understanding about statistical concepts followed by Economics, Psychology and Banking/Finance students with a low understanding of Statistical concepts using a post-hoc (Tukey HSD) test and mean chart.
Generalized Load Modeling and Its Application Considering Uncertainty of Wind Power Integration

By considering the bus characteristic uncertainty after wind power integration at the original load bus,a new method based on probability statistics is proposed to learn about and model steady-state characteristics of generalized load buses.To analyze the change of the power direction after wind power integration,the bus characteristics are divided into source characteristics and load characteristics.In view of the change in the uncertainty of bus characteristics,the sample space of active power is segmented adaptively according to the past measured data.The probability distribution is obtained by probability statistics.Levenberg-Marquardt neural network is used to abstract the bus characteristics prior to the development of the unified model.The application of the new model is described by taking the risk analysis as an example.Simulation results show that the method proposed can not only accurately build the model,but also analyze the uncertainty problem by making use of probability statistics according to the different scenarios.The new method has made up the inadequacy of the traditional method in random characteristic description,which is an extension and supplement to the traditional method in uncertain scenario application useful for simulation analysis and dispatch control following wind power integration.
Effects of Poverty on Educational Attainment of Secondary School Students in Emohua Local Government Area of Rivers State, Nigeria

This study investigated the effects of poverty on educational attainment of secondary school students in Emohua Local Government Area (LGA) of Rivers State, Nigeria. The study design was descriptive survey. The population of the study is 8,560 members of Youth Clubs/Associations in the LGA. The sample size used for the study was 865 youths which represents 10% of the study population. Data were collected through questionnaire on whether poverty of parents affect their ward’s performance in examinations, the quality of schools they attend, and the level of education ultimately attained. Analysis was done using mean statistical tool for the research questions while chi-square was used to test the hypotheses at 0.05 alpha levels. The findings reveal that poverty of parents negatively affect their ward’s academic performance, the quality of schools their wards attend and the level of education ultimately attained. Recommendations were made inter alia that government should establish a social welfare scheme for the poor and needy.
Understanding The Relationship Between Perceived Levels Of Stress, Mindfulness, And Meditation Practices

Mindfulness meditation has become increasing popular in the Western world the last few decades. Although the research in the area of mindfulness is just beginning, many studies report positive benefits to individuals who learn this type of meditation. This study compares the perceived stress levels of college students who report common characteristics of individuals who practice mindfulness meditation against college students who do not report those common characteristics of mindfulness. The student’s level of mindfulness was measured using the Five Facet Mindfulness Questionnaire while the Measurement of Stressful Life Events was used to determine the student’s perceived stress levels to recent events. Results showed that mindfulness is inversely correlated with current stress levels for recent life events. In addition, meditation experience was also found to be inversely correlated with current stress levels for recent life events. Finally, the results indicated a gender difference with respect to mindfulness but not a gender difference with respect to stress. Specifically, males scored higher than females in mindfulness but males and females reported similar levels of stress. There is still much to learn about mindfulness and stress. This study serves as a small part of the many studies being conducted to better understand these variables and their relationship to one another.
Coping with Work-Family Conflict, Integrating Satisfaction of Basic Psychological Needs: A Case Study in Eskişehir/Turkey

In this study, through which the impact of work-family conflict on turnover intention is investigated, intermediary role of psychological satisfaction, which has recently started to be dealt with in organizational life, is studied. This study is conducted on 122 white-collar workers working at a private institution in Turkish aviation industry, the data is gathered through a survey. In the survey work-family conflict scale, satisfaction of basic psychological needs scale, life satisfaction scale and turnover intention scale are used. Using the results obtained from the analysis of survey, it is shown that only work-family conflict seems to predict life satisfaction and turnover intention rather than family-work conflict. The study results demonstrate that in the effect of work-family conflict on life satisfaction and turnover intention, satisfaction of basic psychological needs plays a partial intermediary role. The results are discussed in detail with regard to basic needs theory as a framework.
From Synchronous Corpus to Monitoring Corpus, LIVAC: The Chinese Case

Very large corpora of properly processed textual materials are uncommon but they can provide important resources for language modeling in natural language processing, ranging from speech processing and text input to automatic IR and patent translation. However, when properly cultivated in spatial-temporal terms, they can foster innovative knowledge discovery in database applications by functioning as monitoring corpus and enhance the human centered communication environment by allowing more substantive introspection and comparison of linguistic and social-cultural developments of the relevant speech communities. This paper discusses how the gigantic synchronous and homothematic corpus of Chinese, LIVAC, can contribute to the monitoring the linguistic homogeneity and heterogeneity diachronically and synchronically. After processing media texts of more than 400 million Chinese characters over 16 years, LIVAC has yielded a lexical corpus of 1.5 million words. This paper examines some aspects of the nature and extent of lexical and morphological divergence and convergence in the Chinese language of Hong Kong, Taipei and Beijing. Additional discussions cover creation and relexification of neologisms, categorial fluidity and the associated challenges to terminology standardization, such as renditions of non-Chinese personal names. This paper also explores how the associated socio-cultural developments can be fruitfully monitored by means of this unique spatial-temporal corpus.
Effectiveness of Communicative Tasks in Media English Learning

1 . Introduction In previous research, Onoda (2000) introduced "productive tasks" (those that lead students to use speaking and writing) into listening focused Media English classes at Kanda University of International Studies (KUIS, hereafter). The purpose of these tasks was to encourage students to get more actively involved in language learning based on task-based teaching by authentic materials as Communicative Language Teaching (CLT, hereafter) advocates. In fact, a majority of students indicated that they wanted to actively participate in oral communication activities, i.e., productive activities such as discussions, presentations, and group projects. Results of this previous research indicated that within a four-month period, productive tasks motivated English majors at KUIS with upper intermediate level proficiencies (600 and above TOEIC scores) to increase their language learning and thus improve their listening skills. Based on these research results, this paper concentrates on exploratory research to determine the kinds of productive tasks that are most motivating and therefore valuable to students. On this basis, a more effective course syllabus can be developed which best suits students' needs and expectations.