Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet Addiction and Its Relation to Emotional Intelligence and Resilience Among a Sample of Egyptian University Students

Introduction: Internet addiction (IA) had recently become the focus of interest to most clinicians and researchers. Indeed, this topic was not thoroughly studied in previous researches. Objectives: The authors of the current study aimed to investigate the rates of IA, understand its demographic and clinical correlates, and illustrate the interplay between IA, emotional intelligence (EI) and resilience among a sample of Egyptian university students. Methods: A total of 400 male and female university students from the Faculty of Medicine and Faculty of Literature, Ain Shams University were included in the current study. Participants were assessed using an informative designed questionnaire for sociodemographic data, Young Internet Addiction Test, The Schutte Self Report Emotional Intelligence Test (SSEIT), and The Resilience Scale (RS). Results: Two hundred eighty-nine (72.2%) participants were labeled the diagnosis of IA with varying degree of severity. Participants with IA scored significantly lower in the total score and all the subscores of SSEIT and RS (P>0.001). A significant negative correlation was found between all the domains of the Internet Addiction Test and both SSEIT and RS total score and all the subscores. By multiple logistic regression analysis, EI (odds ratio=0.81, P>0.001) and resilience (odds ratio=0.91, P=0.002) were the only factors predicting IA. Conclusion: Low scores of EI and resilience could predict the susceptibility to IA, suggesting that treatment strategies enhancing these factors would be of great value to be included in the programs targeted for the management of IA.
Construction of Hybrid Deep Learning Model for Predicting Children Behavior based on their Emotional Reaction

Emotion prediction, the sub-domain of sentiment analysis helps to analyze the emotion. Recently, the prediction of children’s behavior based on their present emotional activities is remaining as a challenging task. Henceforth, the deep learning algorithms are used to support and assist in the process of children’s behavior prediction by considering the emotional features with a good accuracy rate. Besides, this article presents the prediction of children’s behavior based on their emotion with the deep learning classifiers method. To analyze the performance, decision tree and naïve Bayes probability model are compared. Totally, 35 sample emotions are considered in the prediction process of deep learning classifier with a probability model. Furthermore, the hybrid emotions are incorporated in the proposed dataset. The comparison between both the decision tree and the Naïve Bayes method has been performed to predict the children’s emotions after the classification. Based on the probability model of naïve Bayes method and decision tree, naïve Bayes method provides good results in terms of recognition rate and prediction accuracy when compared to the decision tree method. Therefore, a fusion of these two algorithms is proposed for predicting the emotions involved in children’s behavior. This research article includes the combined algorithm mathematical proof of prediction based on the emotion samples. This article discusses about the future scope of the proposal and the obtained prediction results.
Voice Features Across Essay Types Among Advanced EFL Learners

Annotation. The present study reports on the findings of voice features across three text types under two different conditions. The results show significant differences in voice features in expository, but not in argumentative and descriptive text types, under timed and untimed conditions. The findings suggest that the analysis of voice features in different text types can inform writers of how successfully they create a balance in introducing their own perspectives.
The Application of Genetic Algorithm in Land Use Optimization Research: A Review

Land use optimization (LUO) first considers which types of land use should exist in a certain area, and secondly, how to allocate these land use types to specific land grid units. As an intelligent global optimization search algorithm, the Genetic Algorithm (GA) has been widely used in this field. However, there are no comprehensive reviews concerning the development process for the application of the Genetic Algorithm in land use optimization (GA-LUO). This article used a bibliometric analysis method to explore current state and development trends for GA-LUO from 1154 relevant documents published over the past 25 years from Web of Science. We also displayed a visualization network from the aspects of core authors, research institutions, and highly cited literature. The results show the following: (1) The countries that published the most articles are the United States and China, and the Chinese Academy of Sciences is the research institution that publishes the most articles. (2) The top 10 cited articles focused on describing how to build GA models for multi-objective LUO. (3) According to the number of keywords that appear for the first time in each time period, we divided the process of GA-LUO into four stages: the presentation and improvement of methods stage (1995–2004), the optimization stage (2005–2008), the hybrid application of multiple models stage (2009–2016), and the introduction of the latest method stage (after 2017). Furthermore, future research trends are mainly manifested in integrating together algorithms with GA and deepening existing research results. This review could help researchers know this research domain well and provide effective solutions for land use problems to ensure the sustainable use of land resources.
Long-term Measurements of Carbonaceous Aerosol at Cape Hedo, Okinawa, Japan: Effects of Changes in Emissions in East Asia

ABSTRACT We investigated changes in sources of carbonaceous aerosol and their effect on long-term trends in elemental carbon (EC) and organic carbon (OC) concentrations at the Cape Hedo Atmosphere and Aerosol Monitoring Station (CHAAMS) in Okinawa, Japan, for the period 2004–2013. EC and OC concentrations were measured by using a semi-real-time carbon monitor and performing an offline filter analysis involving the thermal-optical method, following the Interagency Monitoring of Protected Visual Environments (IMPROVE) protocol. Overall, the annual average concentration of EC did not change between 2004 and 2013, whereas the OC concentration clearly decreased at the rate of 0.11 μg C m−3 yr−1 (α > 0.05). The secondary OC (SOC)/OC ratio showed an increasing trend from 2004 till 2011, and the high value of this ratio is possibly due to a reduction in primary emissions of OC and changes in the composition of organic compounds emitted in China. In spring and winter, air pollutants were frequently transported from China. In both seasons, the EC concentration did not change appreciably, whereas the OC concentration decreased at the rate of 0.10 μg C m−3 yr−1 in spring and 0.11 μg C m−3 yr−1 in winter. The OC/EC ratio was used to assess the importance of the sources of carbonaceous aerosol—biomass burning, fossil-fuel combustion, and air-pollutant transport from China—and the annual average OC/EC ratio was found to decrease from 5.7 to 2.4. The increasing contribution of fossil-fuel combustion is responsible for the decrease in OC derived from biofuel consumption transported from China to CHAAMS.
Chemical content of unrecorded distilled alcohol (bai jiu) from rural central China: Analysis and public health risk

Newman, I. , Qian, L. , Tamrakar, N. , Feng, Y. , & Xu, G. (2017). Chemical content of unrecorded distilled alcohol (bai jiu) from rural central China: Analysis and public health risk. The International Journal Of Alcohol And Drug Research, 6(1), 59-67. doi:http://dx.doi. org/10.7895/ijadr.v6i1. 236Aims: To test 47 samples of locally distilled unrecorded beverage alcohol (bai jiu) obtained in rural central China.Methods: Alcohol samples purchased from home-based makers or from small village shops were analyzed for ethanol, methanol, acetaldehyde, ethyl acetate, six higher alcohols, arsenic, cadmium, and lead. Results were judged against the standards for these compounds set by the AMPHORA Project.Findings: Ethanol concentrations ranged from 38.7% to 63.7% (mean 50.4%). Methanol and methyl acetate detected in all samples did not exceed the Alcohol Measures for Public Health Research Alliance (AMPHORA) limits. Acetaldehyde was present in all samples, with three samples exceeding the AMPHORA limit by a small amount. Lead was found in 57.4% of the samples with one sample exceeding the AMPHORA limit; cadmium was found in 89.4% of the samples with two exceeding the AMPHORA limit. Arsenic was found in 46.8% of the samples with none exceeding the AMPHORA limit.Conclusions: The three samples that exceeded AMPHORA limits for cadmium or lead are of concern in terms of the potential of long-term exposure for local people who regularly consume locally made bai jiu. The main health concern from bai jiu appears to be the risk associated with high ethanol concentration—the same health concern as for recorded, commercially produced spirits.
Technology Adoption Among Higher Education Institutions in Malaysia: An Analysis of Business Intelligence Adoption

Purpose: The study strives to determine the outcomes of business intelligence (BI) adoption among Malaysian Higher Education Institutions and factors that affect its adoption. Research methodology: The research design is formulated in the context of a quantitative research strategy for this study. The study used the e-mail survey questionnaire as a method for collecting data. 769 public and private HEIs listed by the Malaysia Qualification Agency participated in the analysis. Structural Equation Mode (SEM) is utilized to collect data.Findings: Overall findings show that HEIs in Malaysia are at the moderate level of BI adoption. Technology: Complexity Environment: Competitive Pressure describes the significant factors of BI adoption among HEIs in Malaysia.Practical implications: The researcher also hopes that the model of this study can be used for analysing other IT adoptions in the context of the HEIs. Also, the researcher expects that the empirical finding in this research from the validated template will provide further knowledge of the benefits of HEIs adoption of BI in Malaysia.Originality/Value: There is insufficient research in the area of BI adoption in HEIs. The objective of this analysis is therefore to assess the factors and results of BI adoption by Malaysian HEIs. The researcher also expects that the model for this study may be used in the review of other IT adoptions in the HEI sense.
Diagnostic accuracy of monofilament test to detect diabetic neuropathy

Background Diabetic peripheral neuropathy (DPN) is a significant independent risk factor for diabetic foot, and an effective screening instrument is required to diagnose DPN early to prevent future ulceration and amputation. This study aims to determine the diagnostic accuracy of monofilament test to detect diabetic peripheral neuropathy. Methods This cross-sectional study was conducted in National Academy of Medical Sciences, Bir hospital, Mahabouddha, Kathmandu from February 2016 to January 2017. A total of 96 diabetic patients attending inpatient and outpatient Department were selected. Diabetic peripheral neuropathy was assessed by measurement of loss of protective sensation (LOPS) by monofilament test and compared with vibration perception threshold by standard biothesiometer. The sensitivity, specificity, positive predictive value and negative predictive value of monofilament test were calculated. Results The prevalence of diabetic peripheral neuropathy was 26%. The sensitivity, specificity, positive predictive value and negative predictive value of monofilament test were found to be 92.0%, 95.8%, 88.5% and 97.1% respectively. There was strong association between LOPS by monofilament and vibration perception threshold by biothesiometer. Conclusion This study showed a strong diagnostic accuracy of monofilament test to detect DPN when compared with biothesiometer. As monofilament test is a cheap, easily available, and portable, it can be used in the periphery where biothesiometer is not available. Sujan Shrestha1, Manen Prasad Gorkhaly1, Manil Ratna Bajracharya2
Effectiveness of the Metacognitive – Based Algebra Learning Model

Annotation. Learning approaches are among the critical factors that determine learning effectiveness. A typical learning approach that promotes student awareness will result in successful learning. This article examines the effectiveness of a metacognitive-based algebra learning from three aspects, namely: 1) learning outcomes; 2) student responses; and 3) student activities in learning algebra. The results show that all three aspects meet the effectiveness criteria of metacognitive approach in learning algebra.
Revisited Wurtzite CdSe Synthesis: A Gateway for the Versatile Flash Synthesis of Multishell Quantum Dots and Rods

Quantum dot core–shell structures are essential to superior optical properties. However, Cd-based quantum dots grown from wurtzite CdSe cores still suffer from irreproducibility due to gel formation during the core synthesis. Moreover, state-of-the-art shelling procedures often remain time-consuming. We report here (1) a new procedure of the wurtzite CdSe quantum dot synthesis which eliminates the phosphonic anhydride contamination and (2) the improvement and generalization of the flash synthesis for the growth of highly luminescent multishell heterostructures. The high versatility of the flash procedure enables the epitaxial shelling of wurtzite CdSe by CdS, ZnS and even CdZnS alloys, resulting in a significant enhancement of their photoluminescence efficiency. Thanks to a modification of the CdSe/CdS dot-in-rods synthesis to prevent tip-to-tip connections, the flash procedure could also be extended to these anisotropic structures for the growth of multishell nanorods as well. The high quality optical pr.
AN ANALYSIS OF THE UTILIZING ZOOM APPLICATION TO ENGLISH LEARNERS’ SPEAKING SKILL MOTIVATION

Speaking is one of the productive skills that should be learned and mastered by English learners which gives them the ability to communicate effectively in this global world. However, most learners face difficulties in learning English, especially in mastering speaking skills. The lack of motivation in learning English is the most common problem faced by learners. With the development of technology, employing Zoom Application in learning English is recommended for fun and exciting learning. This research aims to analyze how applying Zoom Application can improve English learners’ motivation to speak in English. The descriptive qualitative method is used in this research and to gain the data, the researcher used some instruments, there are questionnaires and interviews, which were carried out to 30 learners in English Zoom Club as subjects of the research. The result of this research suggested that applying Zoom Application is very interesting since it provides such motivating and stimulating activities for English learners. Moreover, using Zoom Application make English learners have an appropriate platform and new friends to practice improving their speaking skill at the same time. Keywords : Speaking Skill, Motivation in Language Learning, Zoom Application
Regional Capacity Improvement to Provide Digital Services

This research was conducted to analyze the performance of regional public services towards smart cities through e-Government. The need for digital services is increasing today. For this reason, local governments need to increase capacity to respond to changes in electronic-based services. The study was conducted with a descriptive qualitative method. The results show that service delivery can be achieved well through infrastructure support, efforts to implement Smart City master plans, and public readiness to receive digital-based services. This study recommends strengthening local government institutions and digital service policy frameworks; and preparing the urban empowerment development .
Scrophularia buergeriana Extract (Brainon) Improves Scopolamine-Induced Neuronal Impairment and Cholinergic Dysfunction in Mice through CREB-BDNF Signaling Pathway

We evaluated the effectiveness of Scrophularia buergeriana extract (Brainon) on cognitive dysfunction and determined its underlying mechanisms in a scopolamine (SCO)-treated mouse model of memory impairment. Brainon treatment for 28 days ameliorated the symptoms of memory impairment as indicated by the results of both passive avoidance performance and the Morris water mazes. Brainon lowered acetylcholinesterase activity and raised acetylcholine levels in the hippocampus. The treatment elevated the protein levels of brain-derived neurotrophic factor (BDNF) and phosphorylated cAMP response element-binding (CREB). Additionally, the excessive generation of SCO-induced reactive oxygen species (ROS) and subsequent oxidative stress were suppressed by the enhancement of superoxide dismutase (SOD)-1 and SOD-2 proteins. mRNA levels of upregulated interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α, as well as the apoptotic protein Bcl-2-associated X protein (Bax), cleaved caspase-9, and cleaved poly adenosine diphosphate-ribose polymerase (PARP) expression after SCO injection were downregulated by Brainon treatment. Collectively, these findings suggested that Brainon possesses anti-amnesic effects through the CREB-BDNF pathway. Moreover, it exerted antioxidant, anti-inflammatory, and anti-apoptotic effects in SCO-induced mice exhibiting cognitive impairment and memory loss.
Shellfish Collection Practices of the First Inhabitants of Southwestern Puerto Rico: The Effects of Site Type and Paleoenvironment on Habitat Choice

After decades of study, much remains unknown about the foraging practices of the earliest inhabitants of Puerto Rico. Here, we present an analysis of the malacological assemblages of two neighboring and (partially) contemporary early sites from the island's southwest, finding intriguing intersite differences in shellfish collection practices. We attribute this diversity to differences in site type, chronology, or changes in local coastal configuration. This work not only provides insights into prehistoric Puerto Rican foraging dynamics but also demonstrates the importance of considering factors including intra-age chronology, site type, and changes in paleoenvironmental conditions when considering ancient foraging practices.
Effects of Audio-visual Aids on the Academic Performance of Nursery Schools Pupils in Alphabets Reading in Sokoto Metropolis, Nigeria

The study aims to determine the effects of audio-visual aids on the performance of nursery school pupils in alphabet reading in Sokoto metropolis. The study sets out three research objectives, three questions, and two hypotheses. The study adopted a survey design method. All Nursery school pupils in Sokoto metropolis form the population of the study. A purposive sampling technique was used to select two schools (New Dawn and Nagarta College) to participate in the study. New Dawn and Nagarta College were respectively allocated to experimental and control groups through balloting. An intact class from each of the two schools was used for the study. An achievement test instrument was developed by the researchers, validated by experts. To ensure the reliability of the instrument, a pilot study was conducted and a reliability index of 0.94 was obtained using KR-21. The research questions were answered using descriptive statistics, and the two hypotheses were tested using independent sample t-test statistics. Results from the study reveal that the treatment was effective in improving pupils’ academic performance. It was also found that there was a significant difference between the academic performance of the pupils taught using audio-visual aids and those taught the same using the conventional approach in favour of those exposed to the treatment. The study concludes that pupils’ poor academic performance could be a result of poor utilization or inadequacy of instructional media. Therefore the study recommends that Schools management should make audio-visual aids available for effective delivery in the instructional processes, and schools authorities concerned should encourage teachers to make efficient use of the audio-visual teaching aids during the instructional process.
RELATIONSHIP OF WORK STATUS WITH COMPLETENESS OF BASIC IMMUNIZATION IN INFANTS IN THE WORKING AREA OF THE PUSKESMAS BOTANIA

Background :In Indonesia experienced a very worrying Extraordinary Event (KLB), namely the incidence of Diphtheria. Diphtheria incidence in Indonesia has always fluctuated since the 1980s. In 2007 there were 183 cases of diphtheria which increased to 1,192 cases in 2012 and decreased incidence of diphtheria in 2013-2016 (Sariadji, 2017). And according to the Indonesian Pediatrician Association (IDAI), the diphtheria outbreak in Indonesia is the highest in the world. Diphtheria outbreaks occurred in 28 provinces and 142 districts / cities. So there has never been the most in the world and the coverage is 28 Provinces, "said the Chairman of the Indonesian Pediatrician Association, Aman Bhakti Pulungan, during a press conference at the IDI office Jalan Sam Ratulangi, Central Jakarta (Nugraha, 2017). As of November 2017, there were 20. provinces that have reported diphtheria with 593 cases and 32 deaths. Director General of Disease Prevention and Control Ministry of Health, Mohamad Subuh said, 66 percent of the total prevalence did not immunize. Then, 31 percent did immunization, but not until the final stage. To be free from diphtheria, at least the individual must get three times the immunization. Meanwhile, the remaining 3 percent has received complete immunization (Putra, 2017). The purpose of this study is the relationship between work status and completeness of basic immunization in infants. Method : quantitative with cross sectional approach. Research location Pus public health Botania. The population in this study were all live births in the Botania Community Health Center working area, namely 2184 people. This sampling technique uses purposive sampling method, data analysis uses bivariate data analysis with statistical tests, namely the Chi Square test using the SPSS program. Result : shows that out of 96 respondents the majority have a working status of work as many as 54 people (56.2%), majority were incomplete as many as 56 people (58.3%). Chi-square analysis results obtained p-value 0.000, which means p-value <0.05 so that Ho is rejected
Security and privacy with opacity‐based state observation for finite state machine

Topics on security and privacy are very fundamental and important in the Internet of Things (IoT). In this paper, we explore the impact of state observation on the opacity of IoT, which is modeled by Moore‐type finite state machine. Firstly, to characterize the intrusion estimator under the event‐state observation, a multi‐linear algebraic expression is proposed through the Boolean semi‐tensor product (STP), and on the basis of the novel representation, the validation criterion is given by some matrix manipulations. Subsequently, considering that the input information may not be measured due to the physical shielding of the system against external intruders, we continue to discuss the opacity with state observation by a permutation structure matrix. Meanwhile, the verification of opacity with event‐state observation is generalized to the one with only state observation. Finally, we offer an example to illustrate the effectiveness of the newly proposed method. Taken together, the current results are helpful to provide a novel theoretical approach for investigating the privacy‐preserving problem in the area of IoT and complex cyber‐physical networks.