Transformational Potential of the Biblical Idiom “A Wolf in Sheep’s Clothing” in Modern Russian Speech

The article deals with the defamiliarization of the biblical idiom “a wolf in sheep’s clothing” in the modern Russian media reality and speech, and with the transformational potential of this unit. Based on the transformational paradigm of the idiom “a wolf in sheep’s clothing” in the horizontal analytical dimension, the article aims to identify the incentives of its transformation (internal phraseological modelling) and formation according to the model (external phraseological modelling), to track its temporal and sociocultural markedness inscribing it into the cultural and ideological context of the newest era, and to reveal the complex of linguistic and non-linguistic factors “provoking” the author of the media text to make the transformational updates which make the contextual (semantic and formal) reinterpretation of the idiom possible. Within the boundaries of the transformational paradigm at the level of its inner and outer vectors, the symbolic meanings of the components and the role of “metaphor of dressing up” in deceitful garments, semantic and structural-semantic transformations (amplification, substitution, implication, double actualization of certain components of the phraseological unit, morphological transformations, deformation of the syntax model, and role inversion), the role of phraseological configuration as an incentive for updating the biblical idiom as well as the facts of phraseological modelling are considered. The article focuses on the heteromorphism of phraseological transformations (semantic, structuralsemantic, including morphological ones) with one of the types dominating. Particular attention is paid to both the systemic and nonsystemic nature of phraseological transformations and the influence of semantics and pragmatics of the original biblical prototext on the transformative potential of the idiom “a wolf in sheep’s clothing”. Following the investigation, it has been found out that the transformative impulses emanating from the semantic and cultural meaning of the original biblical prototext are in demand to a much lesser extent than the linguistic ones (potential of the structural-semantic model of the idiom, symbolic value of its components as well as their systemic connections at the lexical-semantic and grammatical level), which confirms the secularization of the biblical expression and its transition to the category of functional textual units. The study is performed on the material of fiction, Russian printed and electronic media as well as Internet forums and blogs of the beginning of the 21st century. Using the methods of the textual identification of transformations, phraseological modelling, as well as component variable, historical-etymological and linguocultural analysis, the biblical idiom is considered a text-formative element.

The Development of Sheep Farming Business With Participatory Development Communication in Malang

The success of business development can’t be separated from participatory communication. This research was conducted in Tajinan Village, Malang. The research data used primary data and secondary data. Furthermore, the data were analyzed using SEM GSCA. This research aimed to analyze the effect of Participatory Development Communication (PDC) factors, such as the socio-cultural component and elements of the communication process on the development of sheep farming business. The results showed that the elements of the communication process affected PDC and it affected the development of sheep farming business. Besides, the development of sheep farming business did not affect PDC and there was not a single socio-cultural component variable and elements of the communication process that affect PDC or farming business development through PDC or sheep farming business development.

PENDEKATAN PRINCIPAL COMPONENT ANALYSIS PADA DATA DEMAM BERDARAH DENGUE DI PROVINSI MALUKU UTARA

North Maluku Province is one of the provinces with many cases of Dengue Hemorrhagic Fever (DHF) in Eastern Indonesia. Various factors cause the increase of DHF such as environment, personal hygiene and inadequate health infrastructure in North Maluku Province The purpose of this research is to group the multivariable of dengue cases into several simpler components using the Principal Component Analysis (PCA) method. The PCA method is a statistical technique for reducing a large number of variables to become simpler. The results showed that 1 variable did not meet the KMO value so that the variable was eliminated. All variables after eliminating one of the variables are tested to meet the KMO and MSA values. All predictors in this study form 1 predictor component variable used are non-labor force population (X1), medical personnel (X2), vulnerable age population (X3), workforce population (X4), villages with health facilities (X5), health facility (X6).

Rainfall Model Using Principal Component Regression Analysis with R Software in Sulawesi

Indonesia is a tropical country that has two seasons, rainy and dry. Nowadays, the earth is experiencing the climate change phenomenon which causes erratic rainfall. The rainfall is influenced by several factors, one of which is the local scale factor. This research was aimed to build a rainfall model in Sulawesi to find out how the rainfall relationship with local scale factor in Sulawesi. In this research, the data used were secondary data which consisted of 15 samples with 6 variables from Badan Pusat Statistik (BPS). The limitation of the sample size in this study was due to the limited secondary data available in the field. The data was processed using Principal Component Regression Analysis. The first step was reducing local scale factor variables so that the principal component variable could be obtained that can explain variability from the original data which then that variable was analyzed using principal regression analysis. The data were analyzed by utilizing R Studio software. The results show that two principal component variables can explain 75.2% of the variability of original data and only one principal component variable that was significant to the rainfall variable. The regression model explained that the relationship between rainfall, humidity, air temperature, air pressure, and solar radiation was in the same direction while the relationship between rainfall and wind velocity was not in the same direction. Overall, the results of the study provided an overview of the application of the Principal Component Regression analysis to model the rainfall phenomenon in the Sulawesi region using the R program.

PERSONAL ORGANIZATIONAL WELL-BEING AND QUALITY OF ORGANIZATIONAL LIFE: THE MEDIATING ROLE OF ORGANIZATIONAL CULTURE

ABSTRACT Purpose: To test models of mediation and moderation of the organizational culture, competing values and styles of organizational operation having quality of organizational life (QOL) as antecedent and personal organizational well-being (POW) as consequent. Originality/value: Literature has presented tests of mediation/moderation models to understand well-being of employees and support leadership in the implementation of strategies that fit into the organizational realities. Organizational culture has been used as a component variable of some of those models. However, no publication investigating culture as mediator/moderator of the quality of life/well-being relation was found. Design/methodology/approach: Quantitative, transversal survey employing scales that present evidences of psychometric validity applied to 1,292 employees (81%) of the population in a public organization. Two mediation models and two moderation models were tested through multiple regression. Findings: The results of the linear and hierarchic regression analyses used to test the proposed models showed that, except for the bureaucratic culture, all types of culture had significant power of mediation between the variables of QOL and POW. No moderation relation was found. The empirical evidences of the models tests point out the need for considering cultural traits of organizations in the design of strategies of intervention related to QOL and POW, since some may be more applicable to given cultures and less applicable to others.

Power curves prediction using empirical data regression on small scale compressed air energy storage

The key to optimizing the system is to know the operating point of the system at the time of loading, or it is known as the power curve. However, to identify the power curve, the existing method is to model the mathematical of the system. Therefore some component characteristics need to be known and need additional observations if the component variable is unknown, and it becomes a long identification process. So, in this exploratory research will be presented the way to find out the power curve of a system without modeling mathematical of the system, but by using the polynomial regression technique. This regression technique form is using the empirical data of the power curve form parameter on SS-CAES prototype. The method is based on five approach model in which is the variation of loading sampling data to be used with the purpose is to find the best sampling of prediction. The data will be analyzed in the form of statistical parameters and the graph to show the evaluation process of this technique. From the results of the regression can be concluded that the power curve of SS-CAES can be identified with a high correlation value of 0.997 (99,745% accuracy) and the best way to take samples of data to be used in this technique is presented in the paper.

Pushing Visualization Effects into Pushed Schema Enumerated Tree-Based Support Constraints

Based on the datasets from UCI and Obstructive Sleep Apnea, a disparate methodology of uncovering the visualization effects into the pushed support constraints of schema enumerated tree-based classification techniques is proposed and presented in this paper. This is to actively ‘wipe out’ the redundant growing effects of decision trees through itemset generation when visualization techniques are applied using Principal Component Analysis (PCA) and/or Principal Component Variable Grouping (PCVG) algorithms. Enumeration specification is based on the schema enumerated tree (SET) drawn after sorting out the features and characteristics on each dataset applied. The linchpin is to streamline the pre-tree classification effects for post-tree classification by using visualization techniques, i.e. PCA and/or PCVG, which are applied during the SET development. The over-fitting effects done during the SET development by the pushed support constraints can be counter-corrected by fewer PCA and/or PCVG imposed during visualization processes. The under-fitting effects done by the imprecise ‘early stopping’ of the SET development can be counter-corrected by greater PCA and/or PCVG imposed during the post-tree classification techniques through pushed SET support constraint learning. Research outcome on all the investigated datasets showed that the prediction accuracies have been profoundly improved after applying visualization of PCA and/or PCVG algorithms into the pushed SET-based or SET-based support constraints.

FAKTOR-FAKTOR YANG MEMPENGARUHI BOOK TAX GAP DAN PENGARUHNYA TERHADAP PERSISTENSI LABA

<p><em>The aim of this study is to examine the factors affecting book tax gap and the persistence of earnings. </em></p><p><em>Factors which are predicted affect the book tax gap are fixed asset and intangible assets, revenue movements, tax loss carried forward balance and size of the company. Meanwhile variables in which affect earning persistance are the component of temporary book tax gap and permanent book tax gap and the control variable such as Return on Asset movement (ΔROA), size of the company, operating cash flow dan accrual.</em></p><p><em>The result suggests that, fixed asset and intangible assets and the size of the company affect the book tax gap, meanwhile tax loss carried forward and revenue growth are not affecting the book tax gap. Book tax gap component variable, return on assets movement, the size of the company, operating cash flows and accruals affect the persistence of earning. Referring to the book tax gap component test, variabel book tax gap such as amortisation, allowance for inventory obsolence, allowance for post service liability, subidiary’s income, and income which are not subject to Income Tax</em> <em>are not affecting the persistence of earning.</em></p>

An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.