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THE IMPACT OF PERCEIVED ORGANIZATIONAL SUPPORT ON ORGANIZATIONAL DEPRESSION AND ORGANIZATIONAL DEDICATION
Psychological status of employees and feelings of belonging to the organization have gained considerable
momentum within organizations. In this study the impact of perceived organizational support on
organizational depression and dedication is examined. To do that a questionnaire form consisting of
four parts was applied to 237 participants that were reached by convenience sampling method. All the
filled questionnaire was included in the analysis. The demographic information form is in the first
part, “Organizational Depression Scale” developed by Sezer (2011) is in the second part, “Perceived
Organizational Support Scale-Short Form” developed by Eisenberger et al (1992) and adapted to Turkish
by Öztürk and Eryeşil (2016) is in the third part, “Job Engagement Scale” developed by Rich et al (2010)
and adapted to Turkish by Kurtpınar (2011) is in the fourth part of the questionnaire form. Confirmatory
factor analysis method within the scope of validity of the scales, item analysis (inter-item correlations,
Cronbach Alpha) method within the scope of the reliability were used. Based on the result, the perception
of organizational support has a negative and significant effect on organizational depression, and a positive
and significant effect on organizational dedication. Perception of organizational support, organizational
depression and organizational dedication levels do not significantly differ by gender, marital status and
generations
Active Inductor Design for Reconfigurable Bandpass Microstrip Filter Applications
Herein, the design of an active inductor and its typical application for a reconfigurable band-pass filter circuit are presented. The Active Inductor design consists of a passive variable phase and amplitude compensating network and a highly linear inverting amplifier in order to form a gyrator-C design. The design allows a wide frequency range for tuning the equivalent inductance and resistance values that enable it to be used as a filter design where the inductor equivalent resistance increases and improves signal rejection for band-pass filter applications. As a typical application, first-order active band-pass filter had been designed and prototyped. The simulation and measurement results of the design are compared with the performance results of counterpart designs in literature. From the experimental results, it can be concluded that the proposed design is a suitable model for design of tunable band pass filter circuits. The design has an operation band of 0.7-2.1GHz with the equivalent inductance value of 2.6nH
The use of unmanned aerial vehicles: A comparison of Turkey and Croatia
Unmanned aerial vehicles (UAVs) are present in our lives, and although they are mostly connected to military purposes, they are becoming more present in the commercial and civilian sector. Possible applications of UAVs in the commercial and civilian sector will open new possibilities for further research and development of UAVs. This movement can bring new investment and new jobs, but at the same time, it will influence the way some activities are being done now. The use of UAVs brings savings in the production cycles and improve current operations in various industrial sectors. The chapter gives a definition and explains different types and potential applications of unmanned aerial vehicles in the word as well as the potential economic impact of their development and use. In the second part, the chapter analyzes the application of drones in Turkey and Croatia. Although different in terms of their size and the number of inhabitants, both countries are at the same level in relation to UAV application. Applications in both countries are compared, and after that, a conclusion is drawn. © 2021, IGI Global
Analysis of the barriers to green supply chain management implementation: An application on the BIST sustainability index
The statistical analysis of the data obtained by the survey method was performed with SPSS 22.0 program. According to the findings of the research, the most important barriers in the implementation of green supply chain management are green projects with high investment costs in construction, changing facilities and equipment, as well as the international crisis and economic downturn. These barriers are raw material costs are higher in green applications, green projects having high operating costs, and high prices in green applications unable to compete with lower prices of competitors, respectively. Another finding of the study is that there is no significant difference between the implementation status of the green projects and the duration of the export activity on the barriers encountered in the implementation of GSCM. © 2020 by IGI Global. All rights reserved
Analyzing five conscious and unconscious behaviors using google n-gram database generated from millions of books
Due to the exponential increase in the proliferation of information by humans and machines, the 21st century is called the "Information Age"and the "Digital Age". Regardless of the size of the data at hand, the challenge always is to clear, combine, analyze and transform the data into meaningful information. In this article, the words "eating, hearing, seeing, guiding, humming"in Google n-gram corpus are examined along with their adjacent adjectives indicating to elucidate whether they refer to a conscious action or not. The Google n-gram corpus was generated from millions of scanned books published between 1500 and 2008. Books are the expression of human emotions, thoughts and behaviors. The frequency of the usage of certain words in books can be considered as a marker to estimate the importance of the concept represented by that word. Also, the adjective that is frequently used to modify a noun can provide us with the information about the characteristics of the concept that the noun represents. In this study, an extensive body of data derived from the published books have been used to analyze conscious and unconscious behaviors. Time-dependent conscious and unconscious behavior trends were obtained by using linear regression. The uniqueness of this study lies in the fact that it uses written statements for conscious and unconscious behavior analysis. Among the five behaviors examined, the most common words in the books are "conscious eating". The use of this phrase also showed the highest increase over time. Although "unconscious eating"has almost the same increments as "conscious seeing", the concept of "unconscious seeing"has found little place in the books. © 2020 IEEE
Determining Factors for Instructors in The Use of MOOCs
The aim of this research is to examine the relationship between instructors’ use of Massive Open Online Courses (MOOCs) and their demographic characteristics. MOOC research in the literature is predominantly on students' attitudes and behaviors. However, there are fewer studies on instructors' attitudes and behaviors, which make up a significant portion of MOOC users. Therefore, the research data were collected from 181 instructors through an online questionnaire. As a result of the research, it was observed that the instructors of some faculties (Economics and Administrative Sciences, Science and Literature, Engineering Faculty) benefit more from MOOC providers. It has been determined that female instructors value the certificates earned from MOOCs more in business life. Moreover, it has been determined that instructors working at public and private sectors give importance to using MOOCs at the same level. It was also concluded that the MOOC utilization of instructors who are younger and in the first five years of their careers is higher.Bu araştırmanın amacı, akademisyenlerin Kitlesel Açık Çevrimiçi Dersleri (KAÇD) kullanımları ile demografik özellikleri arasındaki ilişkiyi incelemektir. Literatürdeki MOOC araştırmaları ağırlıklı olarak öğrencilerin tutum ve davranışları üzerinedir. Ancak, MOOC kullanıcılarının önemli bir bölümünü oluşturan eğitmenlerin tutum ve davranışlarına ilişkin çalışmalar daha azdır. Bu bağlamda, araştırma verileri 181 akademisyenden çevrimiçi bir anket aracılığıyla toplanmıştır. Araştırma sonucunda bazı fakültelerin (İktisadi ve İdari Bilimler, Fen ve Edebiyat, Mühendislik Fakültesi) akademisyenlerinin MOOC sağlayıcılarından daha fazla yararlandığı görülmüştür. Kadın akademisyenlerin KAÇD'lerden aldıkları sertifikalara iş hayatında daha çok değer verdiği tespit edilmiştir. Ayrıca kamu ve özel sektörde görev yapan akademisyenlerin KAÇD'leri aynı düzeyde kullanmaya önem verdiği belirlenmiştir. Daha genç ve kariyerlerinin ilk beş yılında olan akademisyenlerin KAÇD kullanımlarının daha yüksek olduğu sonucuna varılmıştır
A novel high-performance holistic descriptor for face retrieval
Çevik, Nazife (Arel Author)Texture extraction-based classification has become the facto methodology applied in face recognition. Haralick feature extraction from gray-level co-occurrence matrix (GLCM) is one of the basic holistic studies that has inspired many face recognition algorithms. This paper presents a theoretically simple, yet efficient, holistic approach that utilizes the spatial relationships of the same pixel patterns occurring at different positions in an image rather than their occurrence statistics as applied in GLCM-based counterparts. The matrix holding the statistical values for the total displacement of the pixel patterns is called the gray-level total displacement matrix (GLTDM). Three approaches are proposed for feature extraction. In the first approach, classical Haralick features extraction is conducted. The second approach (D_GLTDM) utilizes the GLTDM directly as the feature vector rather than extra feature extraction process. In the last approach, principle component analysis (PCA) is used as the feature extraction method. Comprehensive simulations are conducted on images retrieved from the popular face databases, namely face94, ORL, JAFFE and Yale. The performance of the proposed method is compared with that of GLCM, local binary pattern and PCA used in the leading studies. The simulation results and their comparative analysis show that D_GLTDM exhibits promising results and outperforms the other leading methods in terms of classification accuracy. © 2019, Springer-Verlag London Ltd., part of Springer Nature
The evaluation of medical malpractice claims: creating a standard approach model using the delphi method
Complaints about alleged medical malpractice have increased over time in Turkey, as well as other countries around the world. And it is often the subject of debate in health law and medical law.It can be seen that discussions are underway on "standard of care" which is highlighted in the finalization of claims for medical malpractice. In this case, the expert opinion offered to be the key point for the cases. In the expert opinion, there seems to be differences in approach and procedure. However, the period of determination of whether health professionals provide the expected minimum standard of care needs to be analyzed in a standard way. In addition to standard, objective and scientific evaluation of the evidence of liability for the medical malpractice claims by the experts, it is aimed to create an algorithm that will facilitate the evaluation by the judicial authorities.The aim of this research is to provide minimum common denominator which will be the standard approach model for the experts in the evaluation of medical malpractice claims.The Delphi method was used as a tool for the panelists to express their opinions freely without being under the influence of each other and to reveal different ideas. The research conducted with 11 panelists consist of forensic medicine experts, clinicians, and a lawyer between January 2017 and September 2017.This research will impact the forensic science and law community by serving the evaluations of the experts in medical malpractice claims whether evaluations are based on methodological and logical considerations and the scientific validity of the evaluations is objective or not
First measurements of chi(cJ) -> Sigma(-)(Sigma)over-bar(+) (J=0,1,2) decays
We measured the branching fractions of the decays chi(cJ) -> Sigma(-)(Sigma) over bar (+) for the first time using the final states n (n) over bar pi(+)pi(-). The data sample exploited here is 448.1 x 10(6) psi(3686) events collected with BESIII. We find B(chi(cJ) -> Sigma(-)(Sigma) over bar (+)) = (51.3 +/- 2.4 +/- 4.1) x 10(-5), (5.7 +/- 1.4 +/- 0.6) x 10(-5), and (4.4 +/- 1.7 +/- 0.5) x 10(-5), for J = 0, 1, 2, respectively, where the first uncertainties are statistical and the second systematic
Reliability improvement of distribution system considering EV parking lots
Metropolitan cities have hundreds of parking lots (PLs), where each PL may have a capacity to hold hundreds of cars. Large-scale use of electric vehicles coupled with technological advancements in battery storage systems provide several technical and economic benefits of integrating PLs into the grid. This study presents the impacts of electric vehicle PLs on the distribution system reliability. The reliability indices of the distribution feeder are determined using recently proposed novel storage capacity model of a PL that accounts for the load and component outage data of the distribution feeder. The paper uses average interruption duration, average interruption frequency, and energy not served as feeder reliability indices. For load point reliability indices interruption frequency, interruption duration and energy not served are used. Numerical results, thus attained, show that for the backup operation mode of the PL; the feeder reliability indices and load point reliability indices improve up to 26% and 44% respectively