Miracle-dz/UniFAR-FTUs huggingface dataset:
Adsorption Studies of Methyl Tert-butyl Ether from Environment

The widespread use of methyl tert-butyl ether (MTBE) as a gasoline oxygenate additive has resulted in the presence of MTBE in the environment. This compound is considered as one of the main components of water pollution. Adsorption has received a lot of attention for the removal of MTBE from water. This review paper summarizes the results of adsorption feasibility of different adsorbent for the elimination of MTBE from aqueous solutions. It also discusses the major research topics related to MTBE removal by widely used adsorbents namely, granular activated carbon, minerals, resins and composites. Better understanding of these adsorbents and their affinity toward MTBE adsorption can help future research to be properly oriented to address knowledge gaps in this area. This review provides an opportunity for researchers to explore the removal functionality of MTBE by adsorption methods, better.
Multi-MEC server multi-user resource allocation in heterogeneous network

Aiming at the coexistence of large and small cells in heterogeneous cellular networks, the difference of computing resources between mobile equipment and base stations, and the diversity of service quality demands of users, a resource allocation algorithm based on matching game theory was proposed. We assume that some users have computing needs and can perform MEC offloading or D2D offloading. We define cost performance as the ratio of the data rate per user to its price cost, and resource allocation as the cost performance maximization problem. Considering that the formulation problem is a mixed integer nonlinear problem and it is difficult to obtain the optimal solution, we design an improved Gale-Shapley algorithm based on matching game theory to obtain the feasible solution of the problem. Simulation results show that the proposed multi-MEC server multi-user resource allocation strategy can effectively reduce user service delay and improve system performance in heterogeneous cellular networks.
Peningkatan Kemampuan Pedagogik Guru melalui Program Pelatihan dan Pendampingan Bekelanjutan dalam Pembelajaran Computational Thinking pada Mata Pelajaran Matematika

The problem faced by target partners (target schools) is the low ability of students to solve problems. In fact, the problem-solving ability is one of the skills that must be possessed in the 21st century. This community service aims to improve teacher pedagogical competence in implementing Computational Thinking learning as well as assistance in its implementation. The method used is an educational approach with stages, identification of target schools, socialization of activities, implementation, monitoring, and evaluation. The result of this activity was an increase in teacher knowledge in computational thinking by 95% and teacher interest in applying computational thinking to subjects by 92%. The conclusion of this activity is known that community service partners have increased their knowledge of problem-solving methods using a computational thinking approach and can apply them in mathematics learning.
A design of short distance PM2.5 monitoring system using a bluetooth module

This paper presents a design of a PM2 5 monitoring system based on the Samyoung sensor type DSM501A with the HC-05 Bluetooth data communication module. The sensor is integrated into an Arduino Nano. The measured data are not only displayed on an LCD but also are sent to a computer using a Bluetooth module for the storage. The data are stored in the excel data format and viewed by using the PLX-DAQ add-on. The system was calibrated by using a standard PM25 measurement device (Kanomax dust monitor type 3443). The calibration procedure was conducted by measuring the PM2 5 concentration of the sources. The performance of the system is presented in the optimum communication distance, the concentration range, and the system sensitivity. The result shows that the system works well. The optimum distance between the system and the computer is in the range up to 16 m. The sensitivity of the system is found of 600 μg/m3/minute with the range of the concentration measurement up to 1400 μg/m3 at the room temperature and humidity.
Fitting Atmosphere Temperature of 20th Century in 49 European Capitals using Random Walk Model

The 20th century has been witnessed with the rise of global temperature due to CO2 emission since the industrial revolution. The global warming is observed around the world, and the governments take measures to reduce CO2 emission to combat the rise of temperature. The temperature profile has been mainly modelled at global level. Yet, it necessarily models the temperature in cities because each city would have its own feature. Among various models to fit or simulate the temperature, the application of random walk model is rare. In this study, we used the random walk model to fit the temperature of the 21th century in 49 European capitals not only because the industrial revolution first appeared in Europe but also European governments commit and endorse the Paris Agreement. First, the yearly temperature was simplified as increase (+1) or decrease (–1) in comparison with previous year, whose addition in the 20th century in each of 49 European capitals construct a step-typed curve. Second, random walk model was used to fit these step-typed curves with the least squared method. Third, the widely used CRUTEM3 temperature in the 20th century in each of 49 European capitals was directly fitted using random walk. The results show that random walk can fit the step-typed curves and CRUTEM3 temperature.
N‐Benzyldithiocarbamate Salts as Sulfur Sources to Access Tricyclic Thioheterocycles Mediated by Copper Species

Using an easily prepared triethylammonium N-benzyldithiocarbamate salt as a sulfur source, a dual C−S functionalization of cyclic diaryliodoniums to form tricyclic thioheterocycles is realized. Our method uses the readily available copper sulfate to accelerate the chemical transformation under mild conditions. A broad range of cyclic diaryliodoniums with a ring size from 5- to 7-membered can be employed to gain a quick access to tricyclic thioheterocycles including dibenzothiophenes, thioxanthenes, and phenoxathiines.
Row-by-Column, Plexiglass & Zoom, Oh My! A K-12 COVID-19 Storm / A Pilot

We are 21 years into the 21st century, and educational practices across North America were woefully unprepared to ‘flip the switch’ to online learning; at times no education occurred at all, not online or onsite. The COVID-19 pandemic disruptor storm peeled off the layers of blindfolds time accrued in an instant. Issues included three areas. Area one—unpreparedness: digital illiteracy relative to online learning and corresponding teaching models, equity issues pertaining to internet access and computer access, platforms that varied and were unreliable. Area two—inconsistent: (if any) guidelines on how to teach onsite, or those from a disease control group dictating a six-foot distancing, masks, plexiglass, and row-by-column with eyes facing forward (back to a 19th century teaching didactic model), and smaller class sizes. Area three-time/space continuum: the combining of online and onsite, teaching loads, and maintenance. This ‘alpha’ research study tried to capture a historic moment in time. A Human-centered Research Design (HcRD) protocol with three techniques to mitigate bias was used: (1) online survey, (2) focused interviews, and (3) crowd-sourced photographic content across two countries—USA and Canada as a convenience sample. The findings will reveal a ‘just-in-time’ snap shot of the tactics used pre- and current-, as well as ideas for post-pandemic—this research’s differentiator. The storm of COVID-19 played unprecedented havoc on schools across North America, but there are important learnings and these, along with some insights will be shared.
Can Existing Theories Explain China’s Outward Foreign Direct Investment in Belt and Road Countries

This study examines the extent to which existing foreign direct investment (FDI) theories apply to Chinese investment in the Belt and Road Initiative (BRI) countries. This is important because existing explanations of Chinese outward FDI (OFDI) generally make scant reference to these theories. By using OFDI data for BRI countries between 2003 and 2017, we tested hypothesizes applicable to existing theories by using both pooled ordinary least squares (PLOS) and stochastic frontier analysis (SFA) methods. The results show that a large part of the existing theories apply to Chinese OFDI. Chinese OFDI is likely to choose countries with big market size, abundant natural resources, cheap unskilled labor, stable politics, good infrastructure, high trade cost and high investment cost. These positive findings notwithstanding, they do not invalidate the alternative factors cited by commentators which have not been subject to direct testing, which may require the use of qualitative analytical approaches.
When questions are our best answers: responding to the impact of COVID-19 on community-based arts education organizations: a special issue of Arts Education Policy Review

Abstract The details of the COVID-19 global pandemic were the lockdowns, face masks, and video conferences, but the full burden of the pandemic included facing the profound inequities in civic, health, education, and other policies that multiplied the effects of the disease. Between March and September 2020, these effects hit the world of community-based arts organizations broadside, stifling the creative activity for young people across the world. Even as youth-centered arts organizations sought to sustain programs of creative skill building, inquiry, and expression with positive youth development principles, they became food pantries, hot spots, and curbside sources of legal advice and financial aid for struggling families. In making that transition, old habits and assumptions have given way to fundamental questions about the definitions of art, arts education, community, leadership, funding, and policy. This introduction summarizes articles that redefine policy as spanning from individual teaching artist practice to municipal and national procedures. Together, they raise basic questions about the new kinds of organizations and practices that could emerge from the crises of early 2020 – given the will to seize the insights of the pandemic.
Methods for determining the location parameters of GTE blade profiles based on their measurement results

The location parameters of the actual profile of the blades of a gas turbine engine relative to its nominal position are used to assess the quality of these parts manufacture. The complex shape of the aerodynamic surfaces of the blades, as well as the errors in their manufacture make it difficult to unambiguously determine the displacement and rotation of the actual profile. The use of various methods for calculating the parameters under consideration may result in mismatching values, which raises the question of a reasonable choice of the methods used. This paper presents two methods for determining the geometric parameters of the location of the aerodynamic profiles of the blades, taking into account the features of their manufacture and the requirements of the existing industry standard. Also, the work evaluated the effectiveness of the proposed methods in determining the processing parameters of the blades of a gas turbine engine.
Ethics in experiments on live cattle: a pragmatic approach

There are ongoing philosophical, moral, and societal debates about experiments on live animals. Along with a consequentialist approach, it may be considered that an action – here an experiment on live animals – is morally acceptable if the knowledge it aims to produce can result in an overall benefit. In other words, it is acceptable if the constraints imposed on the animals involved are outweighed by the larger benefits expected for others (humans or animals). Alternatively, it can be argued that, because animals are sentient beings, they have a right not to be used by others. There may also be points of view in between, considering that animal experimentation is acceptable on the condition that no alternative ways to gain the relevant knowledge are possible and animal suffering is limited as much as possible. What is considered as an important knowledge that justifies experimentation may differ as it refers to individual values. It is not the intention of this chapter to hold a moral debate about animal experimentation (for reviews, see for instance [1], [2]). Rather, we take a pragmatic approach that we hope will guide experimenters in their decision to undertake an experiment (or not), after having made explicit all arguments for or against that experiment.
The Effects of Internet Addiction on the Academic Performance of Medical Students at Omdurman Islamic University: An Online Cross-sectional Study

Background:In general, the emergence of new technologies such as the internet, social networks and providing opportunities to facilitate and improve global communications quality have created some threats, as Internet Addiction Disorder (IAD), which is an emerging psychological problem across the globe. Young defined it as “an individual’s inability to control his or her use of the internet, which eventually causes psychological, social, school, and/or work difficulties in a person’s life”. Students are among the most critical internet and social networks, particularly during the coronavirus recent pandemic. The prevalence of internet addiction and its association with academic performance among Sudanese medical students has not been discussed yet. Therefore, this study aimed to assess the effects of internet addiction on medical students’ academic performance. Methods:This study was an observational descriptive cross-sectional study conducted on medical students at Omdurman Islamic University in Sudan from 321 sample size by stratified random technique. Data were collected using a questionnaire that contains four sections; the last one is the Internet Addiction Test (IAT), a 20-item scale that measures the presence and severity of internet addiction, developed by Young. Data were analyzed using the statistical package for social science (SPSS) version 24. A P-value < 0.05 was considered statistically significant.Results:Out of 321 medical students, 186 (57.9%) were females, and 135 (42.1%) were males, with no general differences regarding the addiction score. Social media was the leading platform for internet use purposes (88%), mean internet addiction score was 47.7; most of the respondents (55.8%) fit into the moderate-level addiction. There is an association between the duration of internet time consumption and the IAT score, with 5-6 hour/day scoring the highest (mean 50.1 ± 14.3) (P-value 0.001). There is a significant association between platforms that consume most of the participant time and IAT score, with games scoring the highest (IAT mean 56.4 ± 15) (P-value 0.001). There is an insignificant negative correlation between Internet Addiction Test (IAT) grade and CGPA (p-value 0.07). Conclusion:The mean internet addiction score is 47.7, and most of the respondents (55.8%) show moderate-level addiction. The Internet Addiction Test’s application to medical students’ sample concerning the academic performance found no significant association between Internet Addiction Test score and CGPA score.
Recognition of valence using QRS complex in children with Autism Spectrum Disorder (ASD)

In children with a diagnosis of autism spectrum disorder (ASD), the absence of emotional inexpressiveness continues to be a consistent issue. This causes them to an unexpected emotional outbursts and meltdowns. This study utilizes the QRS complex derived from the Electrocardiogram (ECG) signals to investigate the positive (“Like”) and negative (“Dislike”) valence using a personalized emotion elicitation protocol using audio- and audio-visual cues in children who have ASD under the ages between 5 and 11 years. The sample size consisted of 15 controls and 15 children who have ASD.The acquired raw ECG signals are cleaned using various digital filters and the useful valence specific features are extracted from the QRS complex and are classified using the K nearest neighbour (KNN) and Ensemble learner. The control children were able to exhibit largely to the valence states, in contrast the children who have ASD did not show much difference in their valence states which was also verified using the Ensemble learner which achieved a maximum mean accuracy of 75.5 % in controls and 70.5% in children who have ASD.
Les directives pour le traitement par surfactant exogène chez le nouveau-né

Le traitement par surfactant exogène joue un rôle essentiel dans la prise en charge des nouveau-nés atteints du syndrome de détresse respiratoire (maladie des membranes hyalines) parce qu’il améliore la survie et limite les troubles respiratoires. Puisque la ventilation non invasive est de plus en plus utilisée comme principal mode d’assistance respiratoire chez le nouveau-né prématuré à la naissance, l’administration prophylactique de surfactant n’est plus bénéfique. L’administration précoce de surfactant sous forme de traitement de rattrapage est préconisée chez les nouveau-nés dont le syndrome de détresse respiratoire s’aggrave. La stratégie qui consiste à intuber, administrer du surfactant, puis extuber (INSURE) est largement acceptée en pratique clinique, mais des méthodes non invasives plus récentes à l’aide d’un cathéter fin, d’un masque laryngé ou d’un nébuliseur sont en cours d’adoption ou d’exploration. Selon des données limitées, un traitement d’appoint par surfactant exogène pourrait être efficace pour traiter d’autres affections que le syndrome de détresse respiratoire, telles que le syndrome d’aspiration méconiale.
Sentiment Analysis on Twitter using Neural Network: Indonesian Presidential Election 2019 Dataset

Due to the utilization of Twitter by Indonesian politicians ahead of the Indonesian presidential election 2019, Indonesian people have given diverse responses and sentiments to the politicians. This study aims to classify sentiment on Indonesian presidential election 2019 tweet data by using neural network algorithms and obtain the best algorithm. In our study, we train our dataset using some variants of deep neural network algorithms, including Convolutional Neural Network (CNN), Long short-term memory (LSTM), CNN-LSTM, Gated Recurrent Unit (GRU) -LSTM and Bidirectional LSTM. Moreover, as a comparison with our deep learning model, we also train our dataset using other traditional machine learning algorithms, namely Support Vector Machine (SVM), Logistic Regression (LR) and Multinomial Naïve Bayes (MNB). Our experiments showed that Bidirectional LSTM achieved the best performance with the accuracy of 84.60%.
The Impact of Strategy, Environment, and the Management System on the Foreign Subsidiary: The Implication for Open Innovation

With globalisation, there has been an intensification of investments by foreign groups in sectors strategic to their country of origin, such as some minerals. It is, therefore, crucial for a parent company to implement specific controls in its management control systems. In these circumstances, this study aims to determine the degree of control exercised by the parent company over a subsidiary in cultural and organisational dimensions. In addition, other exogenous factors (entities and external factors) influence this system. The results obtained showed that the parent company had an influence on the Management Control System (MCS) of the subsidiary and changed the way control was exercised there, but was unable to deal with macroeconomic instability, environmental and strategic uncertainty, and, consequently, the management risk involved in the extractive activity; in this case, for this subsidiary to operate a seam mine and not be aware of it since it is essentially a commercial, economic group. In addition to these effects on the organisational dimension and the cultural dimension, the shareholders were unable to integrate the subsidiary’s organisational and local culture, which generated some dynamic tension with the expatriate. In addition to the theoretical framework used, it was confirmed that the Flamholtz model is passive to implement in industries in general, particularly in the extractive industry. Finally, some final considerations were made about the management control system, in which the argument is reinforced that there must be empathy between the local staff and the expatriate, as a representative of the shareholders, in order for this system to be a vehicle for the effective transfer of knowledge between both parties, as well as to be supported by open innovation.
Applications of Social Media in the Tourism Industry: A Review

Purpose- This study aims to review and analyze the articles related to social media applications and their impact on the tourism industry. Methodology- For conducting this study, three leading databases named Google Scholar, Science Direct, and EBSCO Host were used for data collection purposes, and the research was conducted in three phases. Selecting the database for collecting data was the first phase, which was carried out during the period between November 2020 to December 2020. In the second phase, screening of the collected data was done, and in the final stage, 46 articles were selected to conduct this study. Discussion- Over the last decade, the rapid advancements in information and communication technology (ICTs) have had reflective impacts on the global tourism sector. Both researchers and professionals have acknowledged that social media applications have a significant impact on both suppliers and consumers of the tourism industry. Findings- Based on the reviewed articles from the perspectives of the tourism consumers as well as the tourism suppliers, this study has found that consumers use social media in pre-during-post travel for searching different information and suppliers generally use social media for promotion, communication, management, research purposes.
Elite athletes’ achievement goals, burnout levels, psychosomatic stress symptoms, and coping strategies

ABSTRACT Elite athletes undergo intensive training and competitive pressure to succeed, making them susceptible to professional strain. However, they differ in their subjective reactions in the form of burnout levels and psychosomatic stress symptoms. Following a motivational perspective, these differences may be explained by the goals that athletes pursue. The current study therefore examined the effects of elite athletes’ achievement goals on their burnout levels and psychosomatic stress symptoms, and to what extent they can be explained by athletes’ use of adaptive coping strategies. Based on the answers of 125 German elite athletes, path modelling revealed that mastery approach goals were negatively associated with burnout levels and psychosomatic stress symptoms, while mastery avoidance and performance approach goals were positively associated with burnout levels. Coping strategies partially mediated the effects of mastery approach goals on burnout levels and psychosomatic stress symptoms. These findings suggest practical implications for supporting elite athletes through goal setting processes.