Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational E-Government Readiness: An Investigation in Saudi Arabia

Given the significant investment in e-government programs internationally and the pertinent need fore-government readiness to allow such programs to germinate, the purpose of this study is to assessOrganizational E-Government Readiness (OEGR) in Saudi Arabia. Based on interviews held with leadinge-Government officials in Saudi Arabia, the study contributes a conceptual framework to evaluate OEGR factorsin order to advance public sector transformation to E-Government. The study reveals that key factors pertainingto strategy, integration with national E-Government programs, access, portal, process, technology and peopleissues should be critically assessed in evaluating OEGR. The OEGR framework provided in this study issignificant as it can be used by a range of stakeholders including information technology managers and policymakers in improving OEGR within the public sector and thus, in increasing the quality of public service delivery.Academic research examining the main internal organization factors leading to e-Government readiness is stillsparse. The research extends the literature on e-readiness by adopting an organizational level perspective in ane-Government context.
Behavioral Intention to Use @wifi.id Services in Indonesia

Nowadays, Internet access becomes popular all over the world including in Indonesia, telecommunication operators are fighting to attract as many customers as possible by providing fast, reliable, and wide internet connection. PT Telkom as the biggest telecommunication operator has been trying to become the winner in this competition by providing several internet accesses, one of them is @wifi, id. PT Telkom has invested a huge fund to provide the service and set revenue target, but the achieved revenue is far below the targeted revenue. It is important to find out the key factors that have influenced the consumers' behavior toward @wifi.id adoption. Using the insights from an extensive review of literature and the discussions with people from the telecommunication operator, this study proposes a conceptual model to predict consumers' behavior toward @wifi.id. The proposed model is a modified model of Unified Theory Acceptance and Use of Technology (UTAUT) which has Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Price Value, and Content as independent variable, Behavior Intention as intervening variable, Use Behavior as dependent variable. The data to test the model are collected from 996 valid respondents chosen by purposive sampling technique in 5 big cities in Indonesia. The data is analyzed by using SmartPLS2.0 software and the result shows that four independent variables (Social Influence, Price Value, Content, and Performance Expectancy) have positive significant influences on Behavior Intention. Behavior Intention has positive significant influences on the Use Behavior. While Effort Expectancy and Facilitating Condition have no significant influence on Behavioral Intention. Based on the result of this study, to motivate customers to use more @wifi.id, it is suggested that Telkom should make a program that motivates the important people of customers, such as teachers or public figures to use and suggest other people to use @wifi.id. , strengthen and develop @wifi.id community. The suitable pricing is also important since customers consider price value as a second key factor. The third key factor is Content; thus Telkom should collaborate with content providers to offer contents that are needed by @wifi.id users.
A WEB-BASED SMART TELECARE SYSTEM FOR EARLY DIAGNOSIS OF HEART ATTACK

Abstract. Acute coronary syndrome which could lead to a heart attack is a common and dangerous disease in many parts of the world. Telecare can accelerate the diagnosis of the disease to provide user information including his/her location in an emergency to a support unit, to reduce the treatment time. Therefore, it is essential to develop a smart telecare system that monitors the status of the user automatically in real-time. This paper has proposed and implemented a web-based smart telecare system. The architecture of this system is based on an architecture for smart care in a smart city. This system receives information from the user and uses linear regression to detect acute coronary syndrome at the initial stage of the disease. This information is descriptive and selected according to the opinion of the cardiologist. Also, in case of diagnosis of acute coronary syndrome, the user's location is determined and sent to a support unit via email. The accuracy of this system is 77.5%. This accuracy is acceptable compared to the same system that predicts myocardial infarction. As the proposed system, unlike the comparator system, does not use electro cardio graphic signals (ECG), it can significantly reduce the time of diagnosis of acute coronary syndrome and its complications through early diagnosis of the disease and its notification. The innovation of this research is the presentation of an intelligent decision maker system that reports the hearth attack to the decision support system via an email message.
Environmentally Superior LNG-Fueled Vessels

With increasing demand for environmental protection and improvements in marine vessel operations, the International Maritime Organization (IMO) has adopted the Energy Efficiency Design Index (EEDI) for the control of emissions of nitrogen oxide (NOX) and sulfur oxide (SOX), as well as carbon dioxide (CO2) per ton mile. As one of the promising solutions for the reduction of exhaust emissions from vessels, switching from conventional heavy fuel oils to liquefied natural gas (LNG) is being studied and pursued. This article describes concept vessels that use LNG fuels to reduce environmental impact, as developed by Mitsubishi Heavy Industries, Ltd. (MHI).
The acquisition of gender and case in Polish and Russian: A study of monolingual and bilingual children

Polish and Russian are typologically closely related Slavic languages that have highly comparable nominal morphology within their gender and case systems in their written form. In their spoken form, however, they show crucial differences, specifically in the phonetic realisation of unstressed vowels. They thus form an ideal combination for testing language-specific phonetic factors that might influence the acquisition of gender and case systems. It is also the case that no comparative research has been done on the acquisition of gender and case in Polish and Russian in monolingual and bilingual children. This study focuses on the acquisition of the gender and case systems in Polish and Russian children aged 3;6-6;6 in order to establish the impact of language-specific factors, in particular the phonetic realisation of unstressed vowels, on the acquisition of these systems. It is the first study that uses a research paradigm comparing two closely related languages, both on the production and comprehension of gender and case in monolinguals and bilinguals (with L2 Dutch), using the same method and highly similar test materials. In conclusion, this study has shown that the reduced amount of phonetic clarity, the lower morphophonological regularity (expressed by the larger number of endings in Russian compared to Polish), and the low frequency of the end-stressed pattern result in Russian children being slower in the acquisition of gender and case. In future studies, this paradigm can be applied to the study of other, also non-Slavic languages, by adding other cases, the plural or involving agreement with adjectives in the oblique cases and past tense verbs.
Approaches to supporting local and community development: Brazil and the Vale SA model of corporate interaction

Reflection about the role of corporate social investment in Brazil, associated with the presence of a large economic enterprise, is the major stimulus of this paper. It seeks to present how cross-sector governance can contribute to the social development of a city and how this process can be led by a partnership comprising a corporate foundation, government, and civil society. To this end, the case of Canaa dos Carajas will be introduced, a municipality in the State of Para, Amazon region, where large-scale mining investment is being carried out by the mining company Vale SA.
A new concept to improve microwave heating uniformity through data-driven process modelling

For a long time, the heating pattern of the workpiece within a multimode microwave oven was considered to be highly sophisticated. As a consequence, the uneven microwave heating problem can only be partly alleviated by a random movement between the electromagnetic field and the workpiece. In this paper, we reported that the heating pattern has a specific correspondence with microwave system settings. The influence factor of the heating pattern and the corresponding mechanism were systematically studied by both theoretical analysis and experimental investigations. On this basis, a data-driven process model was established to learn the material’s dynamic temperature behaviors under different microwave system settings, and a new concept to improve the microwave heating uniformity by temperature monitoring and active compensation was proposed. The effectiveness of the method was demonstrated by a polymer composite microwave processing case study.
Segmentation of the Spoken Word and Reading Acqu : sition

The purpose of this study was to determine how well children can identify the number of phonemic segments in spoken words and how this compares with their ability to deal similarly with syllables. The subjects were 46 preschoolers, 49 kindergarteners, and 40 first graders. Alphabetized class registers were used at each grade level to divide the children into two experimental groups, one assigned to phoneme segmentation and the other to syllable segmentation. The subjects were required to repeat a word or sound spoken by the examiner and to indicate, by tapping a wooden dowel on the table, the number of the segments (phonemes in one group, syllables in the other) in the stimulus items. The test trials consisted of 42 randomly assorted individual items of one, two, or three segments which were presented without prior demonstration and corrected, as needed, immediately after the child's response. Testing was continued through all 42 items or until the child reached the criterion of tapping six consecutive trials correctly without demonstration. The results indicated that the test items were more readily segmented into syllables than into phonemes. Ability to perform phoneme segmentation did not appear until age 5, and then only in 17 percent of the subjects. (WR) U S DERARTrAE NT OF HEALTH EDUCATION & WELFARE NATIONAL INSTITUTE OF EOUGATIoN T. 06, 4,iNt h wf PIM a h. 6. , :JO 010, Nit Pldf N' ,I SEGMENTATION OF THE SPOKEN WORD AND READING ACQUISITION Isabelle Y. Liberman
Towards the massification of broadband internet access in Brazil: an application of alternative dispute resolution settlement of administrative proceedings

In 2012, the Brazilian Telecommunications Regulatory Agency (Anatel) ruled the Conduct Adjustment Commitment (TAC). It refers to an alternative dispute resolution mechanism that allows shifting pecuniary penalties into infrastructure investments. This case study approaches the setting up of strategic investment projects and the definition of a methodology framework set to maximize the benefits of resource allocation. To reach its objective 5,565 municipalities were divided in clusters and ranked according to priority destination for investments. Results include a short list of preferential projects focused on enhancing broadband infrastructure, encouraging the competition and to enhance quality of services performance. Outputs of the methodology suggest that municipalities located at the outskirt of metropolitan regions, evenly distributed throughout the country, with relative lower HDI and higher demographic density are the top ranked destination for investment.
Postnatal Development of Blood Serum Concentrations of Immunoglobulin IgG, IgA and IgM Isotypes in Suckling Foal

Sedlinska M , J. Krejai, M. Vyskoail, H. Kudlaakova: Postnatal Development of Blood Serum Concentrations of Immunoglobulin IgG, IgA and IgM Isotypes in Suckling Foals. Acta Vet. Brno 2006, 75: 175-182. Postnatal changes in concentrations of immunoglobulin IgG, IgM and IgA isotypes from birth until the age of five months were monitored by the ELISA method. The experiment was performed in a group of 52 thoroughbred foals and their mothers. Among the investigated animals, failure of colostral immunity transfer was recorded in only four foals (7.7 percent). The concentrations of immunoglobulin IgG and IgA isotypes primarily decreased during the first weeks of life and then gradually increased until the end of the investigated period. The concentrations of immunoglobulin IgG isotype reached the values of adult animals by the end of the investigated period. However, immunoglobulin IgA isotype did not reach those values during the entire investigated period. The concentrations of immunoglobulin IgM isotype were quite rapidly increasing from the birth on. The beginning of active antibody formation was inversely proportional to the level of colostral immunoglobulins. IgG, IgA, IgM, foals, colostral immunity, postnatal changes
Twinner: A Framework for Automated Software Deobfuscation

Malware analysis is essential to understanding the internal logic and intent of malware programs in order to mitigate their threats. As the analysis methods have evolved, malware authors have adopted more techniques such as the virtualization obfuscation to protect the malware inner workings. This manuscript presents a framework for deobfuscating software which abstracts the input program as much as a mathematical model of its behavior, through monitoring every single operation performed during the malware execution. Alsothe program is guided to run through its di erent execution paths automatically in order to gather as much knowledge as possible in the shortest time span. This makes it possible to nd hidden logics and deobfuscate di erent obfuscation techniques without being dependent on their speci c details. The resulting model is then recoded as a C program without the arti cially added complexities. This code is called a twincode and behaves in the same manner as the obfuscated binary. As a proof of concept, the proposed framework is implemented and its e ectiveness is evaluated on obfuscated binaries. Program control flow graphs areinspected as a measure of successful code recovery. The performance of the proposed framework is evaluated using the set of SPEC test programs.
Improving Pragmatics in Nonverbal Children with Autism Using Melodic Based Communication Therapy

Background of study: Persistent deficits in social communication and social interaction are key components in the diagnosis of autism. For this reason it is clear that successful intervention for individuals with autism must address this deficit. Melodic Based Communication Therapy (M.B.C.T) has been previously found to improve expressive vocabulary and verbal imitative abilities in nonverbal individuals with autism over the age of 5; however findings on the effect of M.B.C.T. on pragmatic (social) language have not previously been discussed. Purpose: The objective of this study was to examine the effect of 5 consecutive weeks of Melodic Based Communication Therapy on pragmatics in nonverbal children with autism. Method: Participants were 12 nonverbal children with autism ages 5 through 7 randomly assigned to the M.B.C.T. or control group. Participants received 5 weeks of intervention, with four 45-minute individual sessions a week. The Pragmatic Language Skills Inventory (PLSI) was used to measure pragmatics pre and post treatment. Results: Following treatment, the M.B.C.T. group showed significant improvement in PLSI score (72.3 ± 10.1 vs 65.4 ± 7.0, p=.04) while the control group did not (67.7 ± 1.2 vs 66.8 ±.5, p=.32). However, there was no significant difference in improvement between the two groups (6.9 ± 2.4 vs 1.0 ±.5, p=.11). Conclusions: Results suggest M.B.C.T. may be a viable means of improving pragmatics in children with autism over time. However, a larger sample size may be needed for more conclusive results.
The Effect of Stocking Density on the Behaviour of Broiler Chickens

A 35-day trial was conducted to examine the influence of floor density on the behaviour of broiler chickens. Day-old male broilers (n=756) were randomly assigned to one of four stocking densities (6 replicates of n=13, 25, 38 and 50) in 24 identical 2.6 ㎡ pens. These stocking densities were coded very low (VL), low (L), medium (M) and high (H) and contained a floor space allowance per bird of 2,000 ㎠, 1,000 ㎠, 667 ㎠ and 500 ㎠, respectively. Scan sampling of all groups was carried out at 15-min intervals during two 1-h periods (10.00 h～11.00 h and 14.00 h～15.00 h) for five days each week. The numbers of birds engaged in different behavioural activities were recorded. It was found that the most common behaviour in all densities was lying. There was no clear effect of density during wks 1～4 of the trial, but in wk 5 birds in the L, M and H groups showed lower levels (P=0.07) of lying behaviour when compared to birds in the VL group suggesting that an increase in animal density results in decreased opportunities for undisturbed rest. This observation is supported by standing and walking behaviour, which was lower (P＜0.05) in the VL group in wk 5. Foraging behaviour measured in the study by the numbers of birds pecking the ground declined as the trial progressed, but scratching increased in 2 wk then decreased. Birds in the VL group showed higher (P＜0.05) level of pecking the ground behaviour compared to birds in the L, M and H groups, but scratching behaviour higher (P＜0.05) and lower (P＜0.05) in VL of 1 wk and 2 wk respectively. However, a peak in aggressive behaviour was observed in wk 2 and birds in the VL group showed less (P＜0.05) agonistic behaviour than birds in the H and M groups. Other behaviours (dustbathing, preening, eating or drinking) were not influenced (P＞0.05) by stocking density.
Effect of the shaft eccentricity on the hydrodynamics of unbaffled stirred tanks

The aim of this work is to investigate the effect of the shaft eccentricity on the hydrodynamics of unbaffled stirred vessels. The difference between coaxial and eccentric agitation is studied using a combination of experiments carried out by particle image velocimetry, that provide an accurate representation of the time-averaged velocity, and computational fluid dynamics simulations, that offer a complete, transient volumetric representation of the three-dimensional flow field, once a proper modelling strategy is devised. The comparison of the experimental and simulated mean flow fields has demonstrated that calculations based on Reynolds-averaged Navier–Stokes equations are suitable for obtaining accurate results. Depending on the position of the shaft, steady-state or transient calculations have to be chosen for predicting the correct flow patterns. Care must be exerted in the choice of turbulence models, as for the unbaffled configurations the results obtained with the Reynolds stress model are superior to that of the k– model. 2005 Elsevier Ltd. All rights reserved.
Adenosine receptors as therapeutic targets for the treatment of myocardial infarction and its complications. Part I. Myocardial infarction

Abstract Adenosine is an endogenous compound with cardioprotective properties that acts via A1, A2A, A2B and A3 plasma membrane receptors. Over the last several decades, the mechanisms underlying adenosine’s protective effects in the ischemic myocardium were investigated. They are the basis for ischemic preconditioning and postconditioning procedures that protect the heart from ischemia/reperfusion injury. The promising results of animal model studies have encouraged a large group of researchers to conduct clinical trials assessing the benefits of adenosine as an adjunct to reperfusion therapy in myocardial infarction. This review describes the mechanisms behind the cardioprotective effect of adenosine and presents current reports on its clinical utility in the treatment of myocardial infarction.
Prediction of Water Demand Using Artificial Neural Networks Models and Statistical Model

The prediction of future water demand will help water distribution companies and government to plan the distribution process of water, which impacts on sustainable development planning. In this paper, we use a linear and nonlinear models to predict water demand, for this purpose, we will use different types of Artificial Neural Networks (ANNs) with different learning approaches to predict the water demand, compared with a known type of statistical methods. The dataset depends on sets of collected data (extracted from municipalities databases) during a specific period of time and hence we proposing a nonlinear model for predicting the monthly water demand and finally provide the more accurate prediction model compared with other linear and nonlinear methods. The applied models capable of making an accurate prediction for water demand in the future for the Jenin city at the north of Palestine. This prediction is made with a time horizon month, depending on the extracted data, this data will be used to feed the neural network model to implement mechanisms and system that can be employed to predicts a short-term for water demands. Two applied models of artificial neural networks are used; Multilayer Perceptron NNs (MLPNNs) and Radial Basis Function NNs (RBFNNs) with different learning and optimization algorithms Levenberg Marquardt (LM) and Genetic Algorithms (GAs), and one type of linear statistical method called Autoregressive integrated moving average ARIMA are applied to the water demand data collected from Jenin city to predict the water demand in the future. The execution results appear that the MLPNNs-LM type is outperformed the RBFNN-GAs and ARIMA models in the prediction the water demand values.
Adaptive Skills Training and Quality of Life of Young Adults with Autism

The current study examines the effectiveness of a group-based adaptive skills training program in improving the perceived quality of life (QoL) of adolescents and adults with Autism Spectrum Disorder (ASD). The Adolescent and Young Adult Treatment Program (AYATP) is implemented by a specialized Autism outpatient treatment facility, with a focus on improving the personal independence and daily living skills of its participants. With the use of archival data from the specialized Autism outpatient treatment a study was conducted utilizing a mixed factorial design by analyzing preand post-measures of the participants’ perceived quality of life, as measured by a research-based self-report questionnaire. The study also examined the relationship between quality of life ratings and lengths of treatment participation. The results supported the program’s ability to improve overall participant quality of life ratings over the course of time. However, the hypothesized impact of program treatment experience on perceived quality of life ratings was not reinforced. Limitations in the amount of available outcome data for analysis may have impacted the generalizability of study findings to other racial, gender and disability groups with ASD. Overall, this study can be conceptualized as an initial examination of a unique treatment model, as well as a catalyst for future program evaluation aimed at improving treatment efficacy.