Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile phones: social impacts during the use phase Poster extended abstract

Social Life Cycle Assessment (S-LCA) is a technique for assessing social impacts throughout the life cycle of a product, aiming to predict and improve social conditions of affected stakeholders. LCA requires a comprehensive approach, i.e. covering all phases of a product life cycle, however an approach for addressing the use phase in S-LCA is still under development and has been excluded in the majority of S-LCA studies. The primary objective of this study is to develop a methodological approach for assessing social impacts in the use phase, which would complement the existing S-LCA method. ICT is in the focus of this study, and particularly mobile phones, as our secondary objective is to contribute to the knowledge on sustainability impacts of ICT and the enabling potential of ICT.
Attribute Assessment Instrument on Information Management and Lifelong Learning Skills among UPSI Students in Faculty of Sports Science and Coaching

This study attempts to design a questionnaire for attribute assessment instrument on information management and lifelong learning skills among students at the Faculty of Sports Science and Coaching, Sultan Idris Education University (UPSI). Three variables are used to measure the attributes of information management and lifelong learning skills, among which are finding and managing various forms of information, autonomous learning and curious minds. A total of 212 Sports Science students were selected as the study sample. The study analysis uses Cronbach's alpha to obtain reliability of the instrument. Factor analysis is used to obtain validity of the attribute assessment instrument on information management and lifelong learning skills. Based on factor analysis, the findings showed that 54 questionnaire items are valid from the overall 60 items constructed. All questionnaire items obtained high reliability value which is r = . 93.
Harmonic Response Analysis of Strut Fin on Planar Motion Mechanism

In a material selection design that will be used is one important step. Because by selecting the right material with the appropriate material properties, it can be seen the harmonic response value of a structure. By knowing the value of harmonic response in a structure, at the time of testing can avoid damage to the structure. In this study the material used for Fin Planar Motion Mechanism (PMM) is Stainless Steel 304 (SS 304). To calculate the harmonic response, the SPSS method is used. From the research results in the range 1-100 Hz the displacement value is still below the limit with a maximum value of 2.50E-12 mm and a maximum stress value of 2.95E-05 Pa.
Dual‐frequency ultrasound for ultrasonic‐assisted esterification

Abstract The optimization of wheat starch esterification (acetylation) with a high degree of substitution was performed through response surface methodology (RSM) via various concentrations of reagents (acetic anhydride), pHs, and temperatures under various ultrasonication frequencies (25, 40, and 25 + 40 kHz). According to RSM methodology, optimized samples were selected by achieving high degrees of substitution at various frequencies, temperatures, and pHs. Solubility, swelling, X‐ray, RVA, DSC, freeze–thaw stability, texture, and SEM analysis of the optimized samples were performed at three frequencies. X‐ray pattern exhibited a more significant reduction in the crystallinity percentage of esterified starch at frequency 25 + 40 kHz compared with 25 kHz, 40 kHz, and native starch. According to DSC analysis, To, Tp, Tc, and enthalpy of gelatinization (ΔH gel) were lower in AC at frequency 25 + 40 kHz compared with AC at frequency 25 and 40 kHz and N starches. According to morphology analysis, in acetylated starches at 25 and 40 kHz, the surfaces and small granules underwent more damage, whereas in 25 + 40 kHz, large granules were more affected than small granules. Upon acetylation, freeze–thaw stability and textural properties of the starch significantly increased and decreased, respectively. The peak and final viscosity of acetylated starch increased (25 + 40 kHz ˃ 25 kHz ˃ 40 kHz ˃ N starch).
Reinforced Mnemonic Reader for Machine Comprehension

In this paper, we introduce the Reinforced Mnemonic Reader for machine comprehension (MC) task, which aims to answer a query about a given context document. We propose several novel mechanisms that address critical problems in MC that are not adequately solved by previous works, such as enhancing the capacity of encoder, modeling long-term dependencies of contexts, refining the predicted answer span, and directly optimizing the evaluation metric. Extensive experiments on TriviaQA and Stanford Question Answering Dataset (SQuAD) show that our model achieves state-of-the-art results.
Neural Networks for Survey Researchers

Neural networks are currently one of the most popular and fastest growing approaches to machine learning, driving advances in deep learning for difficult real-world applications ranging from image recognition to speech understanding in personal assistant agents to automatic language translation. Although not yet as commonly employed in survey research as other types of machine learning, neural networks offer natural extensions of well-known linear and logistic regression techniques in order to learn non-linear functions predicting or describing nearly any real-world process or problem (provided there are sufficient data and an appropriate set of parameters). Moreover, neural networks offer great potential towards more intelligent surveys in the future (e.g., adaptive design tailored to individual respondents’ characteristics and behavior, automated digital interviewers, analysis of rich multimedia data provided by respondents). Neural networks can learn for both regression and classification tasks without requiring assumptions about the underlying relationships between predictive variables and outcomes. In this article, we describe what neural networks are and how they learn (with tips for setting up a neural network), consider their strengths and weaknesses as a machine learning approach, and illustrate how they perform on a classification task predicting survey response from respondents’ (and nonrespondents’) prior known demographics.
Multi-robot SLAM with Exactly Sparse Extended Information Filtering

In the robot simultaneous localization and mapping(SLAM) problem, the Multi-robot SLAM has drawn much attention recently in robotics. This paper investigates the Multi-robot SLAM problem in using exactly sparse extended information filters algorithm(ESEIF): Based on both the multi-robot motion model and observation model, the multi-robot pose is estimated and the environment features are observed. The threshold is set for partitioning and updating the observed features, and marginalizing the robot pose followed by relocating the robot. The simulation shows that the robots pose can be accurately estimated, and observation can be updated in a constant time fashion irrespective of the number of features in the map.
A simple process for selective bio-functionalization of SU-8 surface for Lab-on-a-Chip applications

SU-8 is a popular epoxy based negative photoresist developed by IBM. It has been widely used as structural material in Bio-MEMS and Lab-on-a-Chip devices due to its bio-compatible properties. SU-8 surface has hydrophobic nature. Often it is made to be hydrophilic for microfluidic transport and bio-functionalization purposes. Selective functionalization and permanent hydrophilicity are most desired for Lab-on-a-Chip application and increased shelf life of devices. There are few proven process to achieve a selective and stable hydrophilic SU-8 surfaces. In this work we extend these processes and functionlize the SU-8 surface with Biotin molecules as a proof of concept. The immobilized biotin can be used to detect Avidin and Streptavidin molecules. Relevant surface characterization results would be furnished to prove the process. This simple process has greater potential in manufacturing of Lab-on-a-Chip and Biosensor devices.
Complexity Reduction In Inter Layer Inter Prediction In Scalable High Efficiency Video Coding

ii Acknowledgements First and foremost, I would like to thank Dr.K. R. Rao for being a guide and mentor and a constant source of encouragement throughout my thesis. I would like to thank Dr. M.T. Manry and Dr.H. Russell for serving on my committee. Beamr for promptly replying to my querues.
Improving Municipal Service Delivery : A Case Study of a Metropolitan Municipality in South Africa = تطوير الخدمات المحلية المقدمة في جنوب إفريقيا : حالة دراسة

تواجه عملية تقديم الخدمات المحلية الكثير من التحديات في جنوب إفريقيا وينعكس ذلك بوضوح من خلال المظاهرات التي اجتاحت البلاد في الآونة الأخيرة. حيث أصبح من الضروري فهم الطريقة المثلى لتطوير هذه العملية من أجل إجراء التدخل اللازم وفهم المشكلات التي تحول دون ذلك.
Block Transformation for Encrypted Image through RDH

For a greater amount of ubiquity of information outsourcing to cloud, it may be vital to preserve those security of information furthermore empower those cloud server should handle the information effortlessly toward same period. With accomplish such requirements, “Reversible Data hiding by Encrypted image (RDH EI)” makes enormous challenge for analysts. In this novel, proposed a framework for “Block transformation for EI through RDH”. Contrasting with past Encryption based schemes, RDH EI based framework let the user to transmit the semantic of original image into semantic of target image with similar size. The transmitted picture or image looks similar as target image, which is utilized as Encrypted image (EI), and will outsource to Cloud server. Hence, Cloud server can embed the data into EI through RDH technique for Plain text image. Also image can retrieve back as original without any degradation. Data hiding will be done by least significant bit replacement, also RIT mainly includes block pairing and block transformation process which satisfies image quality.
A Stochastic Approximation Method with Enhanced Robustness for Crosstalk Cancellation

The objective of acoustic crosstalk cancellation is to use loudspeakers to deliver prescribed binaural signals (that reproduce a particular auditory scene) to a listener's ears, which is useful for 3-D audio applications. In practice, the actual transfer function matrix will differ from the design matrix, because of either the listener's head movement or rotation, etc. Crosstalk cancellation system (CCS) is very non-robust to these perturbations. Generally, in order to improve the robustness of CCS, several pairs of loudspeakers are needed whose position varies continuously as frequency varies. With the help of assumed stochastic analysis, we propose a stochastic robust approximation crosstalk cancellation method based on random perturbation matrix modeling the variations of the transfer function matrix. Under the free-field condition, simulation results demonstrate the effectiveness of the proposed method.
Sharing Knowledge With the Government

This chapter assesses the reliability and predictability of government departments as partners of private knowledge management systems. The specific topic is knowledge availability under the US Freedom of Information Act, but the general implications apply to governments at all levels around the world that hold business data, information, or knowledge assets. By comparing processes related to US freedom of information requests across departments and across time, separated by two dramatic changes in presidential administrations and attitudes toward governmental openness, this study examines the relative reliability of agency processes. In particular, reports on the handling of confidential business information provide us with specific insights on this topic as do reports on releases of records with personal privacy concerns. In the end, there appears to be little predictability in the process, even with clear instruction from the highest levels.
The report and analysis of the 2nd U21 European deaf football championship, Stockholm, Sweden 2018

Purpose. Almost no studies have documented or analysed sporting events for deaf players at the elite level. the aim of the study was to report on the 2 U21 European Deaf Football championship, analyse selected offensive actions and compare them with the 1 European Deaf sports Organization (EDsO) U21 championship and Union of European Football Associations (UEFA) U21 events (2015 and 2017), as well as create a ranking of finalists of the deaf U21 tournaments. Methods. counting analyses were performed on the basis of video recordings from the stadiums of 1 and 2 EDsO U21. Nineteen matches were analysed with reference to the number of goals, shots on target, and shots missed. Results. the mean number of goals scored per match during the 2 U21 (1 U21) championship was 2.25 ± 2.27/team (1.81 ± 1.53). the number of shots on target and missed was 8.1 ± 5.7/team/match (6.9 ± 4.9) and 6.2 ± 3.9/team/match (5.4 ± 3.7). In 1 and 2 EDsO championships, the most offensive play was presented by the teams of turkey, Poland, russia, and Ukraine. Conclusions. the winner of the tournament was the team with the highest shooting efficiency and the highest number of crosses in all matches. the analyses of the 2 U21 can be useful for the organization of coaching. Organizers of events for deaf athletes, however, do not pay much attention to careful registration of the event materials and match statistics, which are very important for the promotion of events for deaf athletes.
PROBLEM BIROKRASI DALAM MENINGKATAN PELAYANAN PUBLIK PADA SEKRETARIAT DAERAH KABUPATEN MUNA

The purpose of this study is to find out knowing the problem (inhibiting factors) of bureaucracy in improving the quality of public services at the Muna Regency Regional Secretariat.This study uses a type of qualitative research with descriptive analysis methods in order to describe the problem (inhibiting factors) of bureaucracy in improving the Quality of Public Services at the Muna Regency Regional Secretariat by using data collection methods through interviewing informants and observations.The conclusion of this study is that the problem (inhibiting factors) of bureaucracy in order to improve the quality of public services, namely, human resources that carry out service tasks are not optimal. Because most of those who served in the ministry had a high school education background (high school) which was as many as 19 people or 31.67 per cent. Then the supporting facilities owned by the Muna Regency Secretariat have met service needs, but their utilization is relatively not optimal, this is possible because of limited human resources that have not been able to utilize the facility optimally. Keywords: Bureaucracy, Quality, Public Service
Horizontal Differentiation and the Policy Effect of Charter Schools

While school choice may enhance competition, incentives for public schools to raise productivity may be muted if public education is imperfectly substitutable with alternatives. This paper estimates the aggregate effect of charter school expansion on education quality while accounting for the horizontal differentiation of charter programs. Our research design leverages variation following the 2011 removal of North Carolina’s statewide cap to compare test score changes for students who lived near entering charters with the changes of students who lived farther away. We find learning gains that are driven by public schools responding to increased competition from non-horizontally differentiated charter schools.
Multidimensional Psychometric Evaluation of Secondary School Student Aggression and Its Proposed Solution Based on Integrated Social Pedagogy

Multidimensional Psychometric Evaluation of Secondary School Student Aggression and Its Proposed Solution Based on Integrated Social Pedagogy. Abstract This study introduced new multidimension scale of SKiPS (student aggression score) to measure the self-aggression that were reported at secondary school in Malaysia. This scale has been developed with special focus in school by using samples from three lower secondary school (initial study: N = 120; main study: N = 212 and test-retest validity: N = 40) for samples from one secondary school (N = 40) representing secondary school in Malaysia. Exploration analysis using the main components of analysis (PCA) reveals four factors structure; oral aggression, physical aggression and authority aggression are interrelated. Structure model assessment (SEM-PLS) showed that scaled items form four factors that relate to higher aggression factors. Structures are stable over different age groups. The scale shows sufficient internal consistency, simultaneous validity and retest stability. The implication of the study stressed the need for emotional literacy education and social competence to be applied directly in the curriculum of the Physical Education subject to enhance JERI's objectives.
Effect of Perceived Nursing Work Environment on Nurses Job Outcomes at Primary Health Care Centers – Jeddah

During the new and modern era, the organizations are facing many challenge and diversity of workforces in the health care system because the nursing environment has energetic characteristics for nurses. In addition, nurses are exposed to an unfavorable environment that affects their practice. Therefore, the healthy nursing work environment is essential for increasing satisfaction of their professional nurses needs through attracting, retaining, and rendering quality of patient care in the hospitals. This study aims to investigate the perception of the nursing work environment on nurses' job outcomes at primary health care centers- Jeddah. A descriptive correlational namely cross-sectional design was employed to collect data using non-probability convenience sampling technique from a group of nurses who accept to participate in the study and working at three primary health care centers affiliated to the Ministry of National Guard in Jeddah region namely; Al-Bahra, Alwaha, and Al-Eskan. The questionnaires were administered to the nurses for data collection using socio-demographic characteristics, Revised Nurse Working Index (NWI-R), Nurses' job outcome was measured through of (a) job satisfaction, (b) intention to leave, and (c) quality of nursing care. Statistical analysis was done using SPSS 20.0. Also, data was analyzed by using descriptive statistics such as mean and standard deviation and inferential statistics such t-tests (two-tailed) and one way analysis of variance (ANOVA) and Pearson correlations were conducted to investigate the relationships of nursing work environments and the nurses job outcome. In this study the level of significant was set at 0.05. The present study finds that majority of the nurses had a highest percentage of nursing work environment dimensions. For achieving a high level of nursing work environment it is found that there is statistically significant relationship with nurses' job outcomes in term of job satisfaction. Most of the nurses were satisfied with the work and have the highest means scores in term of growth satisfaction, followed by Co-workers and supervision. Job security was reported to have lowest means scores by nurses. There was a significant relationship between socio-demographic variables with the nursing work environment and nurses' job outcomes in term of primary health care centers, educational qualification, and age group. This study recommended that Hospital administrators should advocate and support the policies and regulations that foster nurses' satisfaction by providing a strong nursing work environment and recognizing more productivity for delivering nursing care in primary health care settings Keyword: nursing work environment, job satisfaction, intention to leave, primary health care DOI : 10.7176/JHMN/63-07 Publication date :June 30 th 2019
Measurable and Behavioral Non-Functional Requirements in Web Service Composition

Handling non-functional requirements (NFRs) in web service composition has gained increasing attention in the literature. However, this challenge is still open, despite the efforts of the scientific community, due to its complexity. This complexity starts from the fact that NFRs can represent structural constraints, QoS attributes, temporal constraints, or behavioral attributes. Therefore, this characterization makes the task of web service composition lifecycle (e.g., specification, verification, integration, etc.) increasingly complicated. Therefore, this chapter investigates this point of view and suggests a complete approach supporting specification, formalization, validation, and code generation of desired composite web service. This approach has the advantage to tackle with quantifiable (i.e., measurable) and behavioral NFRs, and provide a support for composing NFRs with FRs using seamless weaving.
Quantitative assessment of textual complexity

Vincenzo Gervasi Vincenzo Ambriola When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind: it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science. William Thomson, Lord Kelvin Popular Lectures and Addresses (1891-1894)
Factors Affecting Supervisors' Use of Corrective Actions Following Poor Performance.

The present study examined the relationships between supervisor, subordinate, and contextual variables and corrective action severity. Hypotheses were tested using questionnaire data from 103 nursing supervisors in 15 hospitals. Supervisors were asked to describe an incident of subordinate poor performance, indicate the corrective action used, then complete questions measuring incident severity, attributions, initiating structure and consideration leader styles, intent of the supervisor, effectiveness ratings of the corrective action, influence of contextual variables, and subordinate likableness. Analyses confirmed that severity of the incident of poor performance, supervisor attributions, and supervisor intent were related to corrective action severity. Also, corrective actions rated as more effective were used more frequently. Additional results indicated that the contextual variables disciplinary policy and upper management influence were significantly related to corrective action severity. Exploratory analyses investigated the effects of the attributional measures of effort, ability, task difficulty, and luck. Results revealed that initiating structure scores moderated the relationships between both ability attributions and corrective action severity and luck attributions and corrective action severity, while disciplinary policy influence moderated the relationship between ability attributions and corrective action severity. Finally, implications of the study for organizations and suggestions for future research are
One-Day Biopsy: An Experience Environment for Value Co-Creation in Health Services

Background: Customers nowadays influence any business, anywhere all over the world, so that no company can operate completely autonomously. The interaction between the company and the customer experience forms the basis for the value co-creation. Methods: This research proposes a descriptive framework for an experience environment of a co-creation network configuration in health services. Results: This paper can be valuable as a means of pulling together what is known about co-creation frameworks, not simply assembling and describing past work but rather describing an applicable model in a breast cancer diagnosis center. Conclusion: Clodomiro Amazonas Breast Cancer Diagnosis Center is a successful form of engagement platform where people congregate with the specific purpose and a structured process through which they will co-create, thereby playing a central role in the health service experience to qualify breast cancer care and address it in a timely manner.