Miracle-dz/UniFAR-FTUs huggingface dataset:
Expressive Arts Therapy with Chinese Calligraphy Elements as a Working Approach

Creative Arts Educ Ther (2020) 6(2):179–186 DOI: 10.15212/CAET/2020/6/2 Expressive Arts Therapy with Chinese Calligraphy Elements as a Working Approach 中國書法元素融入表達藝術治療作實踐模式 Abstract The properties of Chinese calligraphy and its beauty have captured the imagination and expression of artists throughout the Eastern history. Although some in the Chinese world still practice Chinese calligraphy as an art today, many first encounter it as part of the literacy education in primary school curriculum. Repetitive mimicking is often emphasized in the process without much creative element. As a Chinese calligrapher who aspires to reflect on the creative aspect of the art form, this author chose to integrate elements of Chinese calligraphy with other art modalities in work with teenagers in school setting. This article will look at applying Chinese calligraphy elements to a framework called the expressive therapies continuumin group therapy setting. Keywords: Chinese calligraphy, Expressive therapies continuum, Expressive arts therapy 摘要 中國書法的特性及其美麗捕捉了整個東方歷史藝術家的想像力和表達。 在華人社會中有不少人仍將中國書法視作為藝術來實踐，但許多初次接觸中國書法卻是小學課程中練字課程內。 在教學過程中通常會強調重複模仿，而沒有太多創意元素。 作為一位反思藝術形式創造性方面的中國書法愛好者，作家選擇將中國書法的元素與其他藝術形式相結合，並與學校中的青少年一起實踐。 本文將探討如何將中國書法元素應用於團體治療中，並探討在表達性治療連續系統框架下的應用。 關鍵詞：中國書法，表達性治療連續系統，表達藝術治療
The development of a new generic risk-of-bias measure for systematic reviews of surveys

It is important to evaluate risk of bias of the primary studies included in systematic reviews and meta-analyses. Since tools pertinent to surveys are scarce, the goal of the current research was to develop a measure to address this need. In Study 1, an initial list of 10 relevant topics was compiled from previous measures. In Study 2, the list was refined into an eight-item risk-of-bias measure via discussion and a pilot study. In Study 3, experienced researchers used the measure to asses 70 studies, demonstrating high interrater agreement (weighted Kappa = .82). Inexperienced raters also utilized the measure to code 26 different studies included in a prior meta-analysis, which resulted in adequate interrater agreement (weighted Kappa = .64) and excellent convergent validity (r = .66). Thus, the new measure, designed to be accessible and flexible, can increase standardization of risk-of-bias evaluations and contribute to the interpretation of systematic reviews and meta-analytic findings.
The Paradigm Wars: Is MMR Really a Solution?

Educational research has several competing views of the social sciences, and these are often referred to as paradigms. Hammersley (2013, p. 13) portrays paradigms as ‘not simply methodologies; they are ways of looking at the world, different assumptions about what the world is like and how we can understand or know about it’. The paradigm wars’ boils down to a simple conflict between academics and scholars of qualitative and quantitative research which concerns the relative merits of the different perspectives. In the 1980s, the objectivity-seeking quantitative researcher diminished, whilst, post positivists, interpretivists, and critical theorists flourished throughout this same period. Mixed methods research (MMR) combines elements of both qualitative and quantitative approaches and has often been branded as a ‘transformative paradigm’. The importance of MMR means that the author can combine knowledge sets and move away from one’s allegiance to a particular research perspective. This review of literature will examine the paradigms that are commonly associated with education research. There is an active debate in the research community on the paradigms wars, and this will also be examined in relation to MMR.
Experimental investigations and geological applications of equilibria in the system FeO-TiO 2 -Al 2 O 3 -SiO 2 -H 2 O

A new mineralogic geobarometer for peraluminous rocks based on assemblages of ilmenite-Al 2 SiO 5 -quartz-garnet-rutile has been calibrated from the equilibrium relation: 3 ilmenite + sillimanite + 2 quartz almandine + 3 rutile. The reaction boundary was located (+ or -0.2 kbar) using piston-cylinder apparatus at 11.5, 12.0, 12.5, 13.1, 14.6, 15.3 and 15.9 kbar at 750, 800, 850, 900, 1000, 1050, and 1000 degrees C, respectively. The geobarometer is widely applicable as the univariant assemblage occurs in numerous terranes spanning middle amphibolite to garnet-granulite facies metamorphic rocks. Pressure calculated for several terranes are consistent with the appropriate Al 2 SiO 5 polymorph(s) and are generally in agreement with other well-calibrated geobarometers subject to choice of mixing properties for Fe-Ca-Mg-Mn garnets. --Modified journal abstract.
Coral Platform: The Smart Startup Ecosystem Tool

A smart startup ecosystem must own capabilities and information to the accurate allocation of resources among its participants. So, it uses the synergy of partnerships to enhance startups and boost new ventures. The constant evolution of such communities implies an exponential increase in produced data, which can bring essential business insights, despite the involved technical challenges, such as diverse sources, structures, and meanings. To tackle these issues, we are developing the Coral Platform, that joins a repository of data collectors and preprocessors, a flexible dataset, graph models, and ways of visualization.
Mediating Effects of Empathy on Competence of Korean Nursing Students

Background: Empathic communication is important for nurses to establish therapeutic relationships with patients and to improve the quality of care. Thus, empathy is essential for nursing students who will be future nurses. The aim of this study was to examine the mediating role of empathy in the influence of communication competence on interpersonal competence of nursing students. Methods: This study was conducted at the Catholic University of Korea. Participants were 218 nursing students who completed a survey questionnaire on general characteristics, Interpersonal Reactivity Index, Primary Communication Inventory, and Interpersonal Competence Questionnaire from Feb. 20 to Feb. 21, 2014. Data were analyzed using simple and multiple regression analyses. Mediation analysis was performed according to the Baron and Kenny method and Sobel test. Results: A three-step regression analysis was performed to verify the mediating role of empathy in the relationship between communication competence and interpersonal competence. Results confirmed that communication competence significantly influenced interpersonal competence, showing that empathy had a partial mediating role (Z=2.40, P=.016). Conclusion: Communication competence improved interpersonal competence through mediation by empathy in nursing students. Result of this study suggested that nursing schools should implement communication education that can strengthen empathy in order to boost nursing students’ interpersonal competence.
Role of Teachers in Building the Concept of Sustainable Development: Success or Failure

Sustainable Development (SD) is a rich, challenging and thought-provoking construct in social sciences. The main purpose of this paper was to identify and explore the role played by primary school teachers in building up the idea of sustainable development (SD) among students. This paper was intended to identify that how a teacher can successfully execute the concept of SD by influencing students’ minds at the primary level. Quantitative survey technique were utilized for data collection. All the primary school teachers of Lahore division comprised the population of the study. Through multistage sampling technique, 352 primary school teachers were selected as participants of the study. A self-developed SD questionnaire incorporating four major factors (teachers’ awareness, pedagogy, curricular and co-curricular activities) with Cronbach’s alpha value = . 93 was used to measure the role of teachers in building the sustainability concept among students at primary level. The results indicated a significant mean score difference among SD scores of teachers, sector wise (private and public). Furthermore, the results also reconnoitered the significant difference (p=.04) between the mean scores of female and male teachers in building up the SD concept in students’ minds.
Effects of The Use of Colored Cover Materials and Led Lighting in Greenhouses on Plant Nutrient Concentration: Case of Tomato Plant (Solanum lycopersicum L.)

In this study, the effects of four different color plastic greenhouse treatments on nutrient concentrations of leaf and fruit, leaf SPAD (Soil and Plant Analyzer Development) values and some yield parameters of tomato were tried to be determined. For this purpose, plastic greenhouses with Red (RedG), Blue (BlueG), Colorless (ConG) and white Led (LedG) lighting have been used as materials in the research. The used plastic greenhouses are 3 m in width, 6 m in length, 2 m in sidewall height and 2.8 m in roof ridge height. Led lighting is; Three hours of extra lighting is planned for one hour before sunrise, 2 hours after sunset. The research was carried out in ISUBU (Isparta), Faculty of Agriculture, field area in the summer season in 2019. The nutrient elements of K, Ca, Mg, P, Cu, Zn, Mn and Fe were determined in the leaf and of the tomato plant. It has been determined that four different greenhouse treatments have a positive effect on K, Ca, Cu, Zn, Fe nutrients in leaf, and K, Ca, P, Mg nutrient in fruit. In terms of SPAD values, all treatments were determined to be higher than the control treatment. It was determined that the highest SPAD value was in BlueG treatment. When the efficiency-related values are examined; It was determined that the highest fruit number, fruit weight and yield were in BlueG treatment. BlueG treatment was followed by RedG, ConG, and LedG treatment respectively in terms of efficiency. As a result, considering the effects of four different greenhouse treatments on macro and micronutrient nutritions SPAD values, and yield values, it was concluded that the most suitable treatments for tomato cultivation in greenhouses is BlueG treatment and RedG treatment should not be ignored.
Education System of Pakistan: Social Functions and Challenges

Education is a key to political stability and socio-economic development of a nation. Unfortunately, there are diverse systems of education providing different types of education leading to stratified education system. The researchers investigated education system of Pakistan, its functioning and problems and used mixed method approach. In quantitative section researchers adopted survey method and questionnaire as tool for a sample of 210 respondents through multi-stage systematic sampling and SPSS for analysis. In qualitative part researchers used interview guide as a tool for 35 respondents (university level teaching faculty and students) and adopted Domain Analysis technique for qualitative data analysis. The results of present study indicate that education brings political stability by realizing the people their national rights and duties and thus through such awareness leads to harmony, participation and cooperation. Education shapes the personality of the people to play part in the society. Education is a fundamental asset to empower in terms of human rights and gender equality. Education facilitates the individual to survive in the labor market. There is need to eradicate class-based educational streams to develop unified national education system as promised in Constitution of Pakistan to guarantee the development of society. Education has emerged as a business venture and caught the attention of private sector, which has negative impact on the quality of learning and research.
Low Complex Standard Conformable Transceiver based on Doppler Spread for
 DVB-T2 Systems

This paper addresses a novel Alamouti space-frequency block decoding scheme with discontinuous Doppler diversity (DDoD) and cyclic delay diversity (CDD). We investigate different antenna diversity concepts, which can be applied to orthogonal frequency division multiplexing (OFDM) systems over highly frequency selective channels. The main object of this research is standard compatibility and the effect of simple diversity techniques on the channel fading properties. Therefore, we analyze a receiver in terms of the effective channel transfer function, which leads to the possibility of optimizing diversity. Besides, a novel transceiver using DDoD is proposed, which increases the Doppler spread of the multipath fading channel without causing additional Intercarrier Interference (ICI). Moreover, an efficient Alamouti encoder and decoder based on CDD is proposed, which allows a high reliability and capacity enhancement. In order to evaluate the capability of that, we have implemented this scheme for the second-generation terrestrial video broadcasting (DVB-T2) system over different channels. Furthermore, mathematical analysis and simulation results show the bit error performance of the modified encoding method with these diversity techniques, performs mostly better than the other forms of encoding Alamouti over highly frequency-selective channels such as single frequency networks (SFN). The other advantages of the proposed method are simplicity, flexibility, and standard compatibility.
ESTIMATION OF THE EFFECTS OF CHITOSAN-IRON NANOCOMPOSITES DEVELOPED BY DIFFERENT PROCESSES ON R. GRACILIS CNMN-Y-30 YEAST

The paper provides information on the estimation of the effects of iron chitosan nanocomposites, elaborated by different procedures on pigmented yeast Rhodotorula gracilis CNMN-Y-30. It was found that the initial amount of chitosan, the concentration of Fe3O4 nanoparticles and the volume of nanocomposite used for growing yeasts are the main factors that influence the efficiency of chitosan-iron nanocomposites. Microbiological indices adequately reflect the effects of chitosan-iron nanocomposites in the process of evaluating the action of nanocomposites obtained by different processes on the representative yeast R. gracilis CNMN-Y-30 and it is recommended to test the degree of influence of the nanocomposite. This information can be used by specialists in the food industry, microbiology, medicine, cosmetology, environmental protection, etc., where nanocomposites have applications.
A Predictive Model for Heart Disease Detection Using Data Mining Techniques

In this paper, the model is proposed to predict the heart disease detection by using data mining techniques. The data mining algorithm uses the Logistic Regression model and Neural Network model. The dataset of this paper uses the heart disease data at the University of California Irvine (UCI). There are a total of 303 Instances and 75 Attributes in the United States. The evaluation criteria using the confusion matrix table such as accuracy, precision, recall and F-Measure. The results show that the Logistic Regression model is better performance than Neural Network model. The Logistic Regression model has 95.45% precision and 91.65% accuracy. The web application can be support for the user, who wants to diagnose heart disease detection.
THE IMPACT OF OIL PRICE ON STOCK MARKET:EMPIRICAL EVIDENCE FROM US

The analysis of this research focuses on the interactive relationship among the fluctuation of crude oil prices, the real GDP and the stock market of United State. This empirical investigation uses data is in between 1990 and 2018 with the Vector Auto-regression (VAR) analysis, and multiple regressions with its assumption were used in order to analyses data. Findings, oil price and economic growth are very important determinates of stock market in US because the p-value of this were less than the common alpha α =0.05. For instance, the crude oil price had positive impact on stock market because for each unit increasing of crude oil price, the stock market will increase by (0.276901) after holding all other variable constant. However, we find that GDP has negative impact on the participations of increasing the stock market.
Textuality and Ambiguity of Forensic Texts Egyptian Supreme Court: A Model

Legal texts are a subfield of forensic linguistics involving the study of language and the law. This language is an arcane and often impenetrable category. The purpose of this present study is to identify the field of Legal Texts and distinguish their different aspects, moreover to discuss the distinctive field in homicide investigations in the Egyptian Supreme Court thoroughly. Therefore, this paper is supported by three cases from the Egyptian Supreme court. The paper analyzes the textuality with a focus on both the characteristics and criteria of forensic linguistics, linking text to context and types of ambiguity either lexical or structural features. Textuality integrated with ambiguity can constitute a totality of properties giving cohesion and coherence in any meaningful text. Textual analysis of these legal texts also involves understanding forensic language to gain information and providing cues to ways through which communication of social structures is understood. Textual analysis in legal studies, like other texts, operates at seven criteria of text. In ARTICLE INFO Received 2020-09-02 Accepted 2020-12-09
Smart Parking with Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information

The use of private cars has enhanced the comfort of travel of individuals, but has proven to be a challenge for parking in congested downtown areas and metropolitans. This hike in the vehicle count has led to difficulty among the drivers to find a parking spot, exploiting resources and time. On the other hand, there are many idle private parking spots that remain inaccessible because of multiple reasons like unavailable owners, different open timings and so on. In order to prevent parking issues as well as to enable the use of private parking spots, smart parking applications that are easy to use by the drivers will prove to be highly effective. However, most parking lot owners and drivers face the threat of privacy which affects their willingness to participate while many others are located in a centralized location where the presence of malicious users is in plenty. In this proposed work, we have introduced a smart-parking system that is based on blockchain exhibiting qualities of privacy protection, reliability and fairness. To protect the privacy of users, vector-based encryption, bloom filters and group signatures are also insisted. This has helped us establish a more reliable smart parking system coupled with fair operation for smart contact. Experimental analysis of the real-world dataset indicates that the proposed work operates with high efficiency, establishing privacy protection, reliability and fairness.
Simulation of Velocity Evolution of a Cold Collision-less Non-Magnetised Plasma by Particle-in-Cell Method

This work presents simple numerical simulation algorithm to analyse the velocity evolution of high density non-magnetized glow discharge (cold) collision-less plasma using Particle-in-Cell (PIC) method. In the place of millions of physical electrons and background ions, fewer particles called super particles are used for simulation to capture the plasma properties such as particle velocity, particle energy and electrical field of the plasma system. The plasma system which is of interest in this work is weakly coupled plasma having quasi-neutrality nature. Simulation results showed symmetric velocity distribution about zero with slight left skewness, indicating static system. The order of directional velocity of individual particle seems to agree with the input electron temperature of the considered plasma system. The particle and field energy evolution were observed having fluctuations about zero which indicates that the system is equilibrating. This work marks the preliminary work to study the transport of plasma species in plasma column of gliding arc discharge.
MODEL-DRIVEN CLOCK FREQUENCY SCALING FOR CONTROL-DOMINATED EMBEDDED SYSTEMS

: This paper introduces a combination of models and proofs for optimal power management via clock frequency scaling. The approach is suitable for systems on a chip or microcontrollers where a processor runs in parallel with embedded peripherals. Since the methodology is based on clock rate control, it is very easy to implement. A hardware model, a computational model and an energy model underlie the procedure. We proved that the combination of models is sufficient to determine an optimal clock rate for the CPU. Furthermore, we expand the application space taking into account preemption of tasks. Also, we discuss the role of embedded peripherals when select the clock frequency in both active and power-saving modes. Simulation results manifest the benefits of clock rate control under the proposed methodology. An example shows a 56% increase of the battery lifetime when the clock rate is changed from the lowest possible level to the optimal value.
The role of liquidity risk in augmenting firm value: lessons from savings and credit cooperatives in Kenya

Research methodology: This study adopted the positivism research philosophy and utilised both descriptive and causal research designs. The study targeted all the 164 licenced SACCOs in Kenya. A sample made up of 115 respondents was selected using a stratified random sampling method. The study utilized secondary data obtained from organization’s published financial statements. Analysis of data was done using descriptive statistics and inferential analysis.
Synthesis of Crystallized BaWO 4 Nanorods in a Microemulsion System

BaWO4 nanorods have been successfully synthesized in w/o microemulsion system containing barium ions via a simple reaction between Ba2+ and . The BaWO4 Nanorods were characterized by XRD, TEM, and SEM, respectively. Results showed that the solvents composition—volume ratio of 4-dioxane and distilled water—played the key role in the formation of BaWO4 Nanorods. Furthermore, the strong vibration at 925 cm﹣1 on its Raman spectrum indicated that the BaWO4 nanorods is good at stimulating Raman scattering in transient and steady-state, making it as a promising candidate material for laser with self-raman conversion of radiation inside the active medium.
Unknown Surface Modeling Method Based on High-precision CMM

Reverse engineering is typically applied to solve the CAD model of unknown parts. As modern industry requirements on the accuracy of complex surfaces increase, setting up the high-precision CAD modeling of unknown complex surface parts through reverse engineering becomes an interesting research topic. Here, we present a method that combines manual measurement and automatic measurement with a high-precision coordinate measuring machine (CMM) to measure unknown complex-surface to obtain CAD model. In this study, the unknown complex-surface was fixed on the CMM worktable, and cancelling the probe compensation function of PC-DMIS before measurement. Then, 490 measuring points were obtained by manually moving the probe with a diameter of 5mm to measure surface. The measured points generated the CAD model, the CAD model was offset a probe radius, and determined the rough contours of the surface. This CAD model was automatically measured in a CMM, and the function of the “automatic measurement model” was iterated to obtain a high-accuracy CAD model. Each measurement was arranged with 20×20 measuring points. The accuracy of the CAD model obtained by each iterative measurement would be improved, and finally a high-precision CAD model was obtained. After 7 iterations, the final accuracy of the unknown surface CAD model was as high as 0.004 mm as compared to that of the actual part.