HOUSING IN TURKEY - PROSPECTS FOR DIFFERENT INCOME GROUPS

It is imperative to develop a macro-level framework, and long-term policy alternatives to solve the housing problems of Turkey. Since most of the past housing programmes in Turkey were dependent on the estimation of housing needs, effective demand could not be properly evaluated. Yet, housing demand is closely connected with income level and ability to pay. So, effective housing programmes necessitate the predetermination of target groups, where income level and income share devoted to housing expenditures are considered. With this in mind, this study aims to compare alternative scenarios of housing finance considering their accessibility to different income groups. For this purpose, a macro-economic simulation model of housing needs assessment was utilised. Investment and subsidy requirements of the proposed housing programmes were also evaluated by using macro-economic data such as GDP growth rate, inflation and housing investment. As a result, it was concluded that current housing programmes are very far from meeting the demand of households. Comparison of four scenarios showed that new policy proposals should cover rental housing, especially for low income groups

RE: 3 T magnetic resonance diffusion tensor imaging and fibre tracking in cervical myelopathy

[No abstract available

Minimizing capacitance value of interleaved power factor corrected boost converter for battery charger in electric vehicles

A dynamic voltage compensator (DVC) technique is presented for the minimizing of the capacitance value of the interleaved power factor corrected (PFC) boost converter for the battery charger in electric vehicles. This technique is based on eliminating the ripple on the capacitor by creating a voltage in the opposite direction as well as the amount of ripple on the capacitor. With the proposed method, the capacitance value is reduced by approximately five times. Reducing the size of the capacitor also provides the use of film-capacitors with a longer life. The other contribution of this study is designing a faster and more stable fully-digital control system, instead of the commonly used analogue controller of interleaved PFC boost converter. A 3.3 kW interleaved PFC boost converter is designed to verify the effect of the designed dynamic voltage compensator and digital controller. © 2019 Kauno Technologijos Universitetas. All rights reserved.Çukurova Üniversitesi: FDK-2018-11231Manuscript received 26 December, 2018; accepted 20 June, 2019. This research study is supported by the Scientific Research Project Unit of Çukurova University with the project number of FDK-2018-11231

Intelligent control of high energy efficient two-stage battery charger topology for electric vehicles

The energy efficiency of the battery charging system directly affects the distance which electric vehicles can get with per charge process. In addition, reducing current harmonics distortion (THD) increases the electrical quality and power conversion performance. This paper proposes intelligent control of high-efficiency two-stage battery charger topology for electric vehicles (EVs). In the first stage, for low harmonics of input current, high power factor and high efficiency, the average current mode controlled ac/dc boost power factor (pf) correction method constructed and analyzed with 98% efficiency and the power factor is achieved higher than 0.99. Additionally, in the second stage, for high energy efficiency, higher battery lifespan and allowing EVs to get more miles with per charge, a half-bridge LLC resonant converter controlled with a designed artificial neural network (ANN). Moreover, the LLC resonant converter controlled under dynamic load to analysis system from no-load to full-load. A 3.1 kW powered system has been designed for this study, the efficiency of the system has been calculated based on European efficiency standards and the peak efficiency of the whole system is 96.2%, the load voltage ripple is less than 0.5 V and also total harmonic distortion of the source current is less than 5%. © 2019 Elsevier Lt

Discriminative role of CT in exudative and transudative pleural effusions

[No abstract available

Improved MPPT method to increase accuracy and speed in photovoltaic systems under variable atmospheric conditions

The changes in temperature and radiation cause visible fluctuations in the output power produced by the photovoltaic (PV) panels. It is essential to keep the output voltage of the PV panel at the maximum power point (MPP) under varying temperature and radiation conditions. In this study, a maximum power point tracking (MPPT) method has been developed which is based on mainly two parts: the first part is adapting calculation block for the reference voltage point of MPPT and the second one is Fuzzy Logic Controller (FLC) block to adjust the duty cycle of PWM applied switch (Mosfet) of the DC-DC converter. In order to evaluate the robustness of the proposed method, Matlab/Simulink program has been used to compare with the traditional methods which are Perturb & Observe (P&O), Incremental Conductance (Inc. Cond.) and FLC methods under variable atmospheric conditions. When the test results are observed, it is clearly obtained that the proposed MPPT method provides an increase in the tracking capability of MPP and at the same time reduced steady state oscillations. The accuracy of the proposed method is between 99.5% and 99.9%. In addition, the time to capture MPP is 0.021 sec. It is about four times faster than P&O and five times faster than for Inc. Cond. and, furthermore, the proposed method has been compared with the conventional FLC method and it has been observed that the proposed method is faster about 28% and also its efficiency is about 1% better than FLC method. © 2019 Elsevier Lt

Clinical characteristics in obsessive-compulsive disorder with schizophrenia

The objective of this study was to compare two groups of patients with obsessive-compulsive disorder (OCD) with and without comorbid schizophrenia in terms of demographic and clinical features. A total of 65 patients diagnosed with OCD were divided into two groups: one comprising 20 patients with schizophrenia and the other comprising 45 patients without schizophrenia. The groups were then compared with respect to demographic variables and scores obtained on various scales. The two groups were similar for the frequency and severity of obsessive-compulsive symptoms. Insight into obsessive-compulsive symptoms was significantly better in the group with schizophrenia. Our findings suggest that the characteristics of obsessive-compulsive symptoms in schizophrenic OCD patients are similar to those in nonschizophrenic OCD patients. (C) 2003 Elsevier Inc. All rights reserved

Comparison of clinical characteristics in good and poor insight obsessive-compulsive disorder

Beginning with DSM-III-R, the condition of an intact insight towards obsessive-compulsive symptoms, which was essential for the classical definition of obsessive-compulsive neurosis, has been removed, permitting inclusion of cases with poor insight. A total of 94 cases who met DSM-III-R criteria for obsessive-compulsive disorder were included in this study. The Structured Clinical Interview for DSM-III-R (SCID-P), Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Hamilton Rating Scale for Depression (HRSD), Hamilton Rating Scale for Anxiety (HRSA), and State-Trait Anxiety Inventory (STAI) were administered to each patient. Two subgroups determined by DSM-IV item 11 "poor insight" were compared for demographic variables and the scores obtained on the scales. Scores on the Y-BOCS, HRSA, HRSD and STAI-state were significantly higher in the poor insight group. Current and past major depression were also more frequent. Among personality disorders (PDs), avoidant PD was more common in the good insight group and borderline and narcissistic PDs were more common in the poor insight group. HRSA, HRSD, and STAI-state scores had weak to moderate but significant correlations with insight as defined by the item I I of Y-BOCS. Findings are discussed in view of previous reports. (C) 2002 Elsevier Science Inc. All rights reserved

Comorbid conditions in obsessive-compulsive disorder

The objective of this study was to investigate axis I comorbidity in obsessive-compulsive disorder (OCD). A total of 147 patients diagnosed as OCD for DSM-III-R criteria were included in the study. At least one comorbid axis I disorder was present in 68.7% of the patients. Major depression was the most common comorbid disorder (39.5%). Uncomplicated (n = 46) and comorbid (n = 101) OCD groups were compared with respect to the demographic variables and the scores obtained from the Hamilton Rating Scale for Anxiety (HRSA), the Hamilton Rating Scale for Depression (HRSD) and the Yale-Brown Obsessive Compulsive Scale (Y-BOCS). No significant difference in terms of age, sex, marital status, age at onset, or duration of illness was found between the groups. The scores on the HRSA, HRSD, and Y-BOCS were significantly higher in the comorbidity group. Our results demonstrate that at least one psychiatric disorder is present in approximately two thirds of OCD patients, the majority being depressive disorders and anxiety disorders. The fact that comorbid conditions raise not only anxiety and depression levels, but also the severity of obsessions and compulsions, is noteworthy. Copyright 2002, Elsevier Science (USA). All rights reserved

Pain perception during shock wave lithotripsy (SWL): Does it correlate with patient and stone characteristics?

WOS: 00028028540009