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Purpose: The relationship between public expenditure and revenue that determines the budget balance in the explanation of budget deficits is very important. This study aimed to examine the association between public spending and income in Turkey. Methodology: This article applies the continuous wavelet transform method (CWT) to study the relationship between government revenues and expenditures in Turkey. The study, which covers the period 2006-2020, consists of monthly data. The following four CWT tools were used in the analysis: Wavelet Power Spectrum, Cross Wavelet Power, Wavelet Coherence, and Phase Difference. Results: The results of the study, controlling taxes rather than expenditures, play a key role in reducing fiscal deficits in Turkey in the short term. It is revealed that the dynamics of the budget balance in the medium term can be explained by the spend-tax hypothesis and that the tax burden can be alleviated by spending cuts. In the long term, results were obtained that support the spend-tax hypothesis. Conclusion: The paper reveals that taxes play an important role in controlling budget deficits in the short run. It turns out that the dynamics of the budget balance can be explained in the medium term by expenditure cuts and then the tax burden can be alleviated. In the long run, implementing fiscal policies based on public spending rather than taxation will be more effective against budget deficits.

Energy is mentioned as a concept that affects the policies of the country with the consumption of natural resources, with the production types in alternative and different ways, and with the effect of the economy of the countries. It is offered in various courses from primary school to university, teaching of energy sources. And while this is also important as a field of expertise, energy resources are taught as a course in many universities in undergraduate education. It was necessary to do such a study, to determine the general knowledge and behavior of Geography teacher candidates within the scope of energy resources course. This study is a case study of qualitative research methods. Qualitative research is the method by which data is produced without statistical operations or any other numerical means in any way. In addition, the qualitative research method is focused on one main case and based on the opinions of the participants. It is important to have flexibility in the research designed and to have an inductive analysis, qualitative research techniques. The case study is an in-depth description and examination of a limited system. In this study, in-depth and detailed views of the Energy Resources course were taken from the geography teacher candidates during the undergraduate period. Phenomenology design, one of the qualitative research methods, was used in the study. The desire to convey the candidates' views more clearly and clearly is the reason why we use this design. Critical approach has also been used in the interpretation of phenomenological design. We did this to broaden our perspective on the study.

This study examines the complex and time-varying relationship between residential energy demand (including electricity, geothermal, and solar energy) and climate change using wavelet analyses with monthly USA data from January 1990 to March 2023. The results show that residential energy demand and climate change indicators exhibit a time-varying interrelationship with cyclical and lag effects. Specifically, before 2021, a positive correlation between residential electricity demand and carbon dioxide (CO2) emissions in short-term frequencies was found, but the relationship reversed thereafter, with an increase in CO2 levels influencing and decreasing residential electricity demand. In the long run frequencies, the link between residential power consumption and CO2 emissions shifted over time, exhibiting inconsistent co-movement. The co-movements between residential geothermal and CO2 show predominantly positive correlations, with CO2 leading the relationship in the short run, while geothermal leads the co-movements in the long run. In both short and long-term frequencies, the dependency and co-movement between residential solar and CO2 are mixed, with residential solar leading to positive correlations and CO2 leading to negative correlations. Therefore, improved insulation, energy-efficient windows, and high-efficiency heating systems can all assist in reducing heat loss and the total energy demand for domestic heating and subsequently low CO2 emissions.

Objective: To reveal the profile and practice in patients with acute stroke who received intravenous tissue plasminogen activator (IV tPA) and/or neuro-interventional therapy in Türkiye. Materials and Methods: On World Stroke Awareness Day, May 10, 2018, 1,790 patients hospitalized in 87 neurology units spread over 30 health regions were evaluated retrospectively and prospectively. Results: Intravenous tPA was administered to 12% of 859 cases of acute ischemic stroke in 45 units participating in the study. In the same period, 8.3% of the cases received neurointerventional treatment. The rate of good prognosis [modified Rankin score (mRS) 0–2] at discharge was 46% in 83 patients who received only IV tPA [age: 67 +- 12 years; National Institutes of Health Stroke Scale (NIHSS): 12 +- 6; hospital stay, 24 +- 29 days]; 35% in 51 patients who underwent thrombectomy (MT) alone (age: 64 +- 13 years; NIHSS: 14.1 +- 6.5; length of hospital stay, 33 +- 31 days), 19% in those who received combined treatment (age: 66 +- 14 years; NIHSS: 15.6 +- 5.4; length of hospital stay, 26 +- 35 days), and 56% of 695 patients who did not receive treatment for revascularization (age: 70 +- 13 years; NIHSS: 7.6 +- 7.2; length of hospital stay, 21 +- 28 days). The symptom-to-door time was 87 +- 53 minutes in the IV treatment group and 200 +- 26 minutes in the neurointerventional group. The average door-to-needle time was 66 +- 49 minutes in the IV tPA group. In the neurothrombectomy group, the door-to-groin time was 103 +- 90 minutes, and the TICI 2b-3 rate was 70.3%. In 103 patients who received IV tPA, the discharge mRS 0–2 was 41%, while the rate of mRS 0–1 was 28%. In 71 patients who underwent neurothrombectomy, the mRS 0–2 was 31% and mRS 0–1 was 18%. The door-to-groin time was approximately 30 minutes longer if IV tPA was received (125 +- 107 and 95 +- 83 minutes, respectively). Symptomatic bleeding rates were 4.8% in IV recipients, 17.6% among those who received only MT, and 15% in combined therapy. Globally, the hemorrhage rate was 6.8% in patients receiving IV tPA and 16.9% in MT. Conclusion: IV thrombolytic and neurointerventional treatment applications in acute ischemic stroke in Türkiye can provide the anticipated results. Heterogeneity has begun to be reduced in our country with the dissemination of the system indicated by the 'Directive on Health Services to be Provided to Patients with Acute Stroke.'

Village Institutes were educational institutions in Türkiye that were structured in line with the educational, economic, social and political needs of the period. They constituted an important dimension of the works carried out to develop the country economically propagate the newly founded republic and its basic principles to the public. These institutions aimed to train well-equipped village teachers to develop the villages and the villagers in every aspect. The teachers who graduated from these institutions also shouldered the task of strengthening the bond between the village and the villagers and the state and the republic. The curriculum that determined the education process of the Village Institutes was first put into practice in 1943. Educational activities were carried out in line with the "education in work, education for work, education with work" principle. The students were active and educational activities were done holistically in these institutions. Furthermore, the students had the opportunity to apply the knowledge they had learned in the culture courses for themselves and in the agriculture courses through technical courses. However, in these educational institutions, the curriculum diverged partially from this aforementioned main principle after 1947. In the 1947 curriculum, which was revised in line with the criticisms made for the 1943 program, the agriculture and technical courses were reduced, and the culture courses were increased. With the 1953 Teacher Training Schools and Village Institutes curriculum, the five-year education increased to six years and the technical and agricultural courses were greatly reduced. Since the Village Institutes were closed in 1954, this curriculum could not be implemented for a long time. For this reason, it would not be wrong to state that the 1943 curriculum was the curriculum which that was developed and implemented in such a way as to fully meet the basic aims and principles of the Village Institutes.

The modeling of processes and formulations significantly enhances product development in the pharmaceutical industry [...]

In soil science, the allocation of soil samples to their respective origins holds paramount significance, as it serves as a crucial investigative tool. In recent times, with the increasing use of proximal sensing and advancements in machine-learning techniques, new approaches have accompanied these developments, enhancing the effectiveness of soil utilization in soil science. This study investigates soil classification based on four parent materials. For this purpose, a total of 59 soil samples were collected from 12 profiles and the vicinity of each profile at a depth of 0–30 cm. Surface soil samples were analyzed for elemental concentrations using X-Ray fluorescence (XRF) and inductively coupled plasma–optical emission spectrometry (ICP-OES) and soil spectra using a visible near-infrared (Vis-NIR) spectrometer. Soil samples collected from soil profiles (12 soil samples) and surface (47 soil samples) were used to classify parent materials using machine learning-based algorithms such as Support Vector Machine (SVM), Ensemble Subspace k-Near Neighbor (ESKNN), and Ensemble Bagged Trees (EBTs). Additionally, as a validation of the classification techniques, the dataset was subjected to five-fold cross-validation and independent sample set splitting (80% calibration and 20% validation). Evaluation metrics such as accuracy, F score, and G mean were used to evaluate prediction performance. Depending on the dataset and algorithm used, the classification success rates varied between 70% and 100%. Overall, the ESKNN (99%) produced better results than other classification methods. Additionally, Relief algorithms were employed to identify key variables for each dataset (ICP-OES: CaO, Fe2O3, Al2O3, MgO, and MnO; XRF: SiO2, CaO, Fe2O3, Al2O, and MnO; Vis-NIR: 567, 571, 572, 573, and 574 nm). Subsequent soil reclassification using these reduced variables revealed reduced accuracies using Vis-NIR data, with ESKNN still yielding the best results.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has led to significant reductions in transplantation, motivated in part by concerns of disproportionately more severe disease among solid organ transplant (SOT) recipients. However, clinical features, outcomes, and predictors of mortality in SOT recipients are not well described.MethodsWe performed a multicenter cohort study of SOT recipients with laboratory-confirmed COVID-19. Data were collected using standardized intake and 28-day follow-up electronic case report forms. Multivariable logistic regression was used to identify risk factors for the primary endpoint, 28-day mortality, among hospitalized patients.ResultsFour hundred eighty-two SOT recipients from >50 transplant centers were included: 318 (66%) kidney or kidney/pancreas, 73 (15.1%) liver, 57 (11.8%) heart, and 30 (6.2%) lung. Median age was 58 (interquartile range [IQR] 46-57), median time post-transplant was 5 years (IQR 2-10), 61% were male, and 92% had ≥1 underlying comorbidity. Among those hospitalized (376 [78%]), 117 (31%) required mechanical ventilation, and 77 (20.5%) died by 28 days after diagnosis. Specific underlying comorbidities (age >65 [adjusted odds ratio [aOR] 3.0, 95% confidence interval [CI] 1.7-5.5, P

Individuals on the autism spectrum often experience pragmatic social conversation difficulties that include showing interest in their conversational partners. This may become particularly evident during adolescence when conversation with peers is the primary medium for social interaction. This study used a multiple baseline design across participants to investigate the effects of a brief intervention package on the partner-focused conversation of three adolescents with autism. Results showed increased partner-focused questions and comments for all participants. Social validity assessments indicated that the intervention led to meaningful improvements in peer conversations., Author(s): Christine L. Cole [sup.1] , Linda M. Bambara [sup.1] , Alana E. Telesford [sup.2] , Kathleen Bauer [sup.1] , Irem Bilgili-Karabacak [sup.1] , Jacquelyn Chovanes [sup.3] , Amanda Thomas [...]

Molodtsov’s soft set theory has been used in various disciplines both theoretically and practically. It is an effective mathematical tool for dealing with uncertainty. Since its debut, numerous types of soft set operations have been presented and applied. In this study, we analyze the fundamental algebraic features of a novel soft set operation which we call complementary soft binary piecewise union operation. Additionally, by examining the distribution of complementary soft binary piecewise union operation over all other soft set operations’ type, it aims to contribute to the literature on soft sets by revealing relationships between this new soft set operation and other types of soft set operations. Moreover, we prove that the set of all the soft sets with a fixed parameter set together with the complementary soft binary piecewise union operation and the soft binary piecewise intersection operation is a zero-symmetric near-semiring.

Objective: Atrial fibrillation (AF) is the most common directly preventable cause of ischemic stroke. There is no dependable neurology-based data on the spectrum of stroke caused by AF in our country. Within the scope of NeuroTek-Turkey, hospital-based data on acute stroke patients with AF were collected to contribute to the creation of acute stroke algorithms. Materials and Methods: Atrial fibrillation (AF) is the most common directly preventable cause of ischemic stroke. There is no dependable neurology-based data on the spectrum of stroke caused by AF in Türkiye. Within the scope of NöroTek-Türkiye (TR), hospital-based data on acute stroke patients with AF were collected to contribute to the creation of acute-stroke algorithms. Results: The rate of AF in patients hospitalized for ischemic stroke/TIA was 29.8%, of which 65% were known before stroke, 5% were paroxysmal, and 30% were diagnosed after hospital admission. The proportion of patients with AF who received 'effective' treatment [international normalization ratio ≥2.0 warfarin or non-vitamin K antagonist oral anticoagulants (NOACs) at a guideline dose] was 25.3%, and, either no medication or only antiplatelet was used in 42.5% of the cases. The low dose rate was 50% in 42 patients who had a stroke while taking NOACs. Anticoagulant was prescribed to the patient at discharge at a rate of 94.6%; low molecular weight or unfractionated heparin was prescribed in 28.1%, warfarin in 32.5%, and NOACs in 31%. The dose was in the low category in 22% of the cases discharged with NOACs, and half of the cases, who received NOACs at admission, were discharged with the same drug. Conclusion: NöroTekTR revealed the high but expected frequency of AF in acute stroke in Türkiye, as well as the aspects that could be improved in the management of secondary prophylaxis. AF is found in approximately one-third of hospitalized acute stroke cases in Türkiye. Effective anticoagulant therapy was not used in three-quarters of acute stroke cases with known AF. In AF, heparin, warfarin, and NOACs are planned at a similar frequency (one-third) within the scope of stroke secondary prophylaxis, and the prescribed NOAC dose is subtherapeutic in a quarter of the cases. Non-medical and medical education appears necessary to prevent stroke caused by AF.

Aim:Primary care physicians need to be aware of the types of traditional and complementary medicine (TCM) used by patients to be able to guide patients away from harmful approaches and to aim them toward useful or at least seeming benign approaches. This study aimed to determine the prevalence of the usage of TCM methods in Turkey and the level of knowledge and attitudes of applicants about these methods.Methods:The universe of this cross-sectional study consisted of individuals aged 18 and over who applied to the Family Health Centers and agreed to participate in the study in 12 provinces in different regions of Turkey between July and December 2016. The questionnaires were applied to the volunteer participants by the researchers using face-to-face interview techniques. The questionnaire had 25 questions.Results:80.6% of the participants benefited from TCM, and 86.4% stated they believed in the effectiveness of TCM. Women, university graduates of college who had private insurance used TCM (respectively; p=0.031; p=0.004; p=0.000), and women (83.3%) found TCM more useful than men (p=0.005). The most frequent reason for using TCM was “heard that it was useful”.Conclusion:The results of our study indicated that a large portion of Turkish primary care patients use TCM and recommend it to their relatives. Therefore, health policies and academic knowledge should be developed in this sense.

ABSTRACT Purpose: To evaluate the potential oncologic benefit of a visibly complete transurethral resection of a bladder tumor (TURBT) prior to neoadjuvant chemotherapy (NAC) and radical cystectomy (RC). Materials and Methods: We identified patients who received NAC and RC between 2011-2021. Records were reviewed to assess TURBT completeness. The primary outcome was pathologic downstaging (

The study aimed to determine the effects of torrefaction on the fuel properties of pellets. Therefore, firstly, torrefaction parameters of rose (Rosa Damascena Mill.) oil distillation solid waste and red pine sawdust were determined through the torrefaction optimization process in terms of temperature and holding time. Then, using the selected torrefaction parameters, 14 different raw and torrefied pellets containing RP, PS, and Turkish Elbistan Lignite were prepared in different weight ratios. Finally, the fuel properties of the prepared raw and torrefied pellets, namely dimensions, proximate analyses, higher heating values, tensile strength, durability, abrasive resistance, and water uptake resistances, were investigated. The findings demonstrated that the higher heating values and carbon content of raw biomass samples increased while their volatile matter content decreased. The use of lignite at high concentrations led to an increase in ash content and a decrease in the strength and durability of pellets, which should be emphasized. In addition, red pine sawdust was used in place of solid waste from rose oil distillation solid waste to produce pellets with greater strength. All pellet mixtures with torrefaction had higher heating values and energy densities despite the fact that their mass and energy efficiency had decreased. It was determined that torrefaction increased the pellets' resistance to absorbing water and gave them a more hydrophobic structure. Thus, it was determined that torrefaction could enhance the crucial fuel parameters of the biomass samples.