Governance discourse is a fundamental techno-social matter in competition within a particular nation and across globalisation. This paper analyses the governance of educational technology in Turkey, particularly the perception of technocratic utilitarianism versus the grounds of self-determinative educational rights. Since the latest technology, the governments have consistently declared that Turkey is a ‘new’ developing nation through the will of the people; this study thereby considers four central techno-social debates: technological discrimination, distorted establishments, theoretical inconsistency, and plutocratic globalisation; to dispute the governments’ declarations and to highlight their legitimate but nontechnocratic educational governance strategies. These debates indicate how the governments struggle to promote corporatocratic doctrines, to break both liberating technological entities and devalue technocratic utilitarianism in Turkey.
This study aims to analyze the effect of organization citizenship behavior (OCB), learning organization on knowledge sharing, and employee performance. This study is also to analyze the effect of the Knowledge Sharing variable as a mediating variable between OCB and learning organizations on employee performance. Respondents of this study were employees at Kajen Hospital, Pekalongan Regency as many as 83 employees. Sampling was done by proportional stratified random sampling. Data obtained were analyzed using PLS-SEM. The results showed that OCB and learning organization have a positive and significant effect on employee performance directly or indirectly through knowledge sharing. The hospital managers should give more pay attention to aspects of OCB and learning organization which are proven to achieve employee performance, especially when they are still during the COVID-19 pandemic
This review of Current Perspectives on Child Language Acquisition focuses on current issues related to the language development. By reviewing hot and heated topics within different cultures and languages, its aim is to uncover the mechanisms of language developmental trajectory and reveal the interaction between language input and our biological endowment.
El tema del artículo viene determinado por la necesidad de explorar el potencial de las disciplinas científicas para inculcar a los graduados una actitud cívica desarrollada a partir de los valores de la sociedad. El objetivo de este artículo es presentar los aspectos prácticos de la formación de valores cívicos utilizando el potencial axiológico de las condiciones didácticas de la orientación valórico-patriótica. Hipótesis de la investigación: la educación para la ciudadanía será exigida y eficaz si se desarrollan condiciones didácticas de orientación valórico-patriótica para aumentar la conciencia de los alumnos sobre su misión en relación con el Estado y el mundo que les rodea. Se formulan y divulgan las condiciones didácticas para la educación cívica en el estudio de las ciencias naturales sobre el ejemplo del curso superior de matemáticas. Se dan ejemplos de construcción de materiales de lectura con información educativa real. Se muestran las posibilidades educativas de las actividades del proyecto en el estudio de las matemáticas, la física, la química y la ecología para los estudiantes de ingeniería de grado. La aplicación práctica de las condiciones didácticas ha demostrado su eficacia, que se refleja en el alto porcentaje de alumnos (más del 90%) que han realizado proyectos temáticos y en las victorias en los concursos de trabajos de los alumnos como opción de evaluación externa. El trabajo electivo del autor sobre proyectos de enseñanza e investigación con estudiantes de grado y sus resultados sugieren que, además de conformar las actitudes cívicas de los estudiantes, el desarrollo temprano del capital humano en las carreras de investigación también determina el vector de.
In this paper an attempt has been made to propose architecture of search engine for retrieving photographs from photo bank of unlabeled images. The primary purpose of the system is to retrieve images from image repository through string based queries on an interactive interface. To achieve this, image data set is transformed into a space where queries can execute significantly faster by developing a data pipeline through which each image is passed after entering into the system. The pipeline consists HOG based face detection and extraction, Face Landmark estimation, Indexer and Transformer. The image is passed through the data pipeline where each encoded face in the input image is compared with other vectors by computing l2 norm distance between them. The top N results (address of faces and corresponding images) are returned to the user. Once the image passes out from the pipeline Retrieval methods and Feedback mechanisms are performed.
Extensive literature exists on aggression as a precursor for frustrations among human beings. Scholars such as Dollard et. al. also argue that aggression can result into harming others directly, indirectly, through active and passive means. In Pakistan young doctors’ have developed the tendency of aggression because of job frustration. This aggression, over the years, has resulted in wide ranging and repeated strikes, protests and job absenteeism, causing serious shortfall in health attendance. This research elucidates the results of such protests and its ill-effects is shape of health crisis. Drawing from the Frustration – Aggression Theory by Dollard et al., this paper tries to understand the impact of Pakistani young doctors’ anger on society and government. Through a survey of 1000 (one thousand) young doctors, the research questionnaire aspires to draw a relationship between ‘aggression – frustration’ and health crisis focusing on young Pakistani doctors, suggesting some remedial measures.
The main sources of water contamination can be classified as urban, industrial, and agricultural. The physical and chemical characteristics of each effluent differ each other depending not only on their common characteristics, such as biochemical and chemical oxygen demand, but also on their content in specific organic and inorganic substances.\nIn the case of the edible vegetable oils manufacturer industry, the effluent disposal commonly contains as main contaminants: oils, fats, and suspended solids, which alter the values of chemical oxygen demand (COD), biochemical oxygen demand (BOD), and electrical conductivity of the liquid.\nIn this research, five bacteria (Candida kefyr, Candida parapsilosis, Pseudomonas fluorescens, Bacillus cereus y Bacillus coagulans), were tested to de-oil a synthetic emulsion made with tap water, cooking oil, and an emulsifier. The bacteria with the best lipolytic capacity was used to treat an effluent discharged from an edible oil manufacturing industry. In both cases the oil in the samples was quantified through a simple distillation technique, using hexane as extractor.\nExperimental results show that the microorganism with higher lipolytic capacity was the Pseudomona fluorescence, leaving only 2.3 % of residual oil in the treated synthetic emulsion, after 144 hours of experimentation. In all cases, the amount of biomass increases with the oil removed from the emulsion, due to the amount of nutrients (lipids) ingested by the microorganisms.\nIn the case of the effluent from the industry and using the pseudomona fluorescence, the residual oil after 144 hours of treatment was 11.8%, due to the early accumulation of metabolic waste in the aqueous phase.
In this study, the performance of a Hyperspectral Image (HSI) Classification of Artificial Neural Network Trained by Eigenvalue Decay Method (ED-ANN) is experimentally tested and compared with the Support Vector Machines (SVM) algorithm considered one of the best classifier in classifying HSI. The ED-ANN algorithm uses a well-known neural network structure and its differences are in the training phase. A different method called Eigenvalue decay is used instead of the classical education methods in the training of neural network. The classification performance is assessed utilizing Accuracy (ACC) and Balanced Classification Rate (BCR) values. The training and evaluation of the ED-ANN is accomplished utilizing four well-known high-resolution remote sensing HSI datasets. The results of the ED-ANN model revealed higher accuracy in many tasks compared to the SWM results in the HSI classification. On the other hand, the ED-ANN model is inspected in the different number of training data as well. For this purpose, various tests are performed with data sets containing 1%, 2%, 5% and 10% training data. The influences of selecting different classes of the same data set as a target are examined and the results obtained discussed as well.\n\nNote to the editor: Just because the old version of the article was installed, we had to upload the file a second time. Thank you for your understanding.
This research is motivated by the importance of the ability to use effective sentences in scientific essays. Scientific essays as a form of written communication delivered indirectly require the author to convey the information clearly and precisely, so as not to cause ambiguity and confusion of meaning. Sentences that are ambiguous and ambiguous will lead to misinterpretation for the reader, which results in the message to be conveyed to the reader not perfectly understood. The population of this research is all the final assignment reports of the Padang State Polytechnic students that were submitted to the library for one year, namely in 2009. Based on the data and information obtained from the Padang State Polytechnic library heads, it was found that the number of final assignments in 2009 was 575 thesis. This final report comes from various departments at the Padang State Polytechnic. The results showed that effective sentences used by Padang State Pilteknik students in writing effective sentences were still low in word efficiency and logical logic.
The use of the hydraulic ram pump has been an attractive alternative in many areas in developing countries and rural areas that do not have or are located far from a reliable source of electricity. However, predicting the actual output delivery of the hydraulic ram pump pose many challenges due to the basic principle on which the hydraulic ram pump operates, the system design that consists of three pipes of different lengths, different diameters in each section and different Darcy-Weisbach friction factors. Based on experimental data, an empirical correlation was developed to predict the delivery output of a hydraulic ram pump for any combination of input and output head height. The accuracy of the predicted theoretical output flow rate was measured against the experimental data. The empirical correlation predicted the output flow rate within ±12% for any combination of input and output head height.