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Longitudinal Associations Between Problematic Pornography Use and Types of Rumination
Get PDFTransdiagnostic approaches are considered essential for assessing psychopathology, as they cut across a wide range of mental disorders. These features significantly contribute to the development and maintenance of mental health issues, with rumination being an important transdiagnostic construct. Although previous studies have demonstrated a positive link between problematic online behaviors and rumination, no study has examined the association between problematic pornography use (PPU) and rumination. Hence, we aimed to examine the cross-sectional and longitudinal associations between PPU and two types of rumination (i.e. brooding and reflection) in a sample of Hungarian young adults over a one year period. In the present study, we performed an autoregressive cross-lagged analysis with a multigroup approach among 2,786 adults (Mage = 28.00, SD = 4.75; 1,327 men and 1,459 women). Cross-sectionally, a positive and weak association was observed between PPU and both components of rumination (i.e. brooding and reflection) among men and women. Longitudinally, the association between PPU and brooding was bidirectional. Higher T1 PPU was associated with higher T2 brooding and reflection among both men and women. Among women, higher T1 brooding was associated with higher T2 PPU, whereas among men, higher T1 reflective rumination was associated with lower T2 PPU. Our findings emphasize the significant role of PPU in contributing to both components of rumination in both men and women. However, longitudinal associations suggest differential gender effects, with reflective rumination serving as a protective factor for men, potentially contributing to self-regulation, whereas brooding exacerbates PPU over time for women. © 2025 The Society for the Scientific Study of Sexuality
Health literacy, health perception, and iflecnnlunig factors among immigrants
No full textBackground: Individuals living in rural areas face several healthcare disadvantages, including limited access to medical facilities and specialists during emergencies. This study examines healthy lifestyle behaviors, health perceptions, and influencing factors among immigrants in a rural region of southern T & uuml;rkiye. Methods: This cross-sectional study involved immigrants registered at a family health center. Data were collected using a sociodemographic questionnaire, the Perception of Health Scale, and the Health Literacy Scale. Results: Statistically significant differences in THLS-32 scores were found based on participants' occupation, marital status, and education level (p < 0.05). A moderately positive correlation was observed between health literacy and health perception scores (p < 0.05). Conclusions: Research on the relationship between health literacy and health perception among immigrants may offer valuable insights for fostering healthier communities, contribute to the existing literature, and inform rural nursing interventions aimed at addressing negative health perceptions
Akıllı binalarda çevresel sürdürülebilir tasarımlar: Okul örneğinde enerji verimliliğinin arttırılması
Get PDFBu çalışmada, akıllı binalarda çevresel olarak sürdürülebilir tasarım oluşturmak için özellikle akıllı aydınlatma sistemleri ve enerji verimliliğine odaklanılmıştır. Bunun için, 6.847 m²'lik bir okul örneği örneklem olarak seçilmiştir. Çalışmamın amacı, bahse konu okulun enerji tüketimini, sera gazı emisyonlarını, enerji tasarrufu potansiyelini analiz etmek ve iyileştirme için pratik öneriler sunmaktır. Enerji tüketimine ilişkin veriler okulun elektrik ve doğal gaz faturalarından elde edilmiş olup mevcut aydınlatma sistemi EN12464-1 2011 aydınlatma standardına uygunluk açısından değerlendirilmiştir. Bu sürdürülebilir akıllı bina tasarımı çalışmasında ilk olarak, yetersiz veya aşırı aydınlatma olan alanlar belirlendikten sonra enerji kullanımını azaltmak için bazı optimizasyon işlemleri yapılmıştır. Bunlar; geleneksel aydınlatma armatürlerini enerji tasarruflu LED sistemlerine dönüştürmek ve tek seferlik elektrik tarifesinden çok dönemli tarife sistemine geçiş çalışmalarıdır. Yıllık enerji tüketimi 73.178 kWh/m² olarak hesaplanmış, elektrik kullanımı 19,69 kWh/m² ve doğal gaz kullanımı 5,886 kWh/m² olmuştur. Karbon emisyonları yılda 13,5 kg-CO₂/m² olarak belirlenmiştir. Önerilen aydınlatma iyileştirmelerinin uygulanmasının yıllık 27.014,78 TL tasarruf sağlayacağı öngörülürken, tarife ayarlaması ek 30.261,32 TL tasarrufla sonuçlanacaktır. Bulgular, akıllı aydınlatma sistemlerinin ve enerji yönetim stratejilerinin eğitim binalarında enerji verimliliğini önemli ölçüde artırabileceğini ve çevresel etkileri azaltabileceğini vurgulamaktadır. Sürdürülebilir tasarım ilkelerini uygulayarak, okullar enerji verimli operasyonlar için model görevi görebilir. Bu çalışma, sürdürülebilir okul binalarının tasarlanması ve yönetilmesi konusunda ayrıntılı rehberlik sağlamakta ve çevresel sürdürülebilirliği teşvik etmek için akıllı aydınlatma uygulamalarının yaygınlaştırılmasının önemini vurgulamaktadır. Sonuçlar, bu tür müdahalelerin daha yeşil, daha uygun maliyetli eğitim tesisleri yaratma ve daha geniş enerji verimliliği ve sürdürülebilirlik hedeflerine katkıda bulunma potansiyelinin altını çizmektedir.In this study, in order to create environmentally sustainable design in smart buildings, especially smart lighting systems and energy efficiency are focussed. For this purpose, a 6,847 m² school was selected as a sample. The aim of my study is to analyze the energy consumption, greenhouse gas emissions and energy saving potential of this school and to provide practical recommendations for improvement. Data on energy consumption were obtained from the school's electricity and natural gas bills, and the existing lighting system was evaluated for compliance with EN12464-1 2011 lighting standard. In this sustainable smart building design study, firstly, areas with insufficient or excessive lighting were identified and then some optimisation processes were performed to reduce energy use. These are converting traditional lighting fixtures to energy-saving LED systems and switching from one-time electricity tariff to multi-period tariff system. Annual energy consumption was calculated as 73,178 kWh/m² including electricity utilization (19.69 kWh/m²) and natural gas utilization (5,886 kWh/m²). Carbon emissions were determined as 13.5 kg-CO₂/m² per year. Implementation of the proposed lighting retrofits is projected to result in annual savings of 27,014.78 TL, while tariff adjustment will result in additional savings of 30,261.32 TL. The findings emphasise that smart lighting systems and energy management strategies can significantly improve energy efficiency and reduce environmental impacts in educational buildings. By applying sustainable design principles, schools can serve as models for energy efficient operations. This study provides detailed guidance on designing and managing sustainable school buildings and highlights the importance of mainstreaming smart lighting applications to promote environmental sustainability. The results underline the potential for such interventions to create greener, more cost-effective educational facilities and contribute to broader energy efficiency and sustainability goals
Fırın sensör verilerini kullanarak fotovoltaik panel üretim sürecinde zaman serisi ve LSTM yöntemi ile anomali tespiti
Get PDFEnerji arzının yenilenebilir kaynaklardan sağlanması, güneş enerjisi sistemlerinin önemini arttırmış ve bu sistemlerin kullanımının hızla yaygınlaşmasına zemin hazırlamıştır. Güneş enerjisi teknolojileri, sürdürülebilir enerji üretimine yönelik küresel dönüşümün temel unsurlarından biri haline gelmiştir. Bu bağlamda fotovoltaik sistemler, enerji sektöründe kritik bir rol üstlenmiştir. Fakat bu fotovoltaik sistemlerin üretim sürecindeki yüksek maliyetler ve operasyonel hassasiyetler hem üretim verimliliği hem de kalite sürekliliği üzerinde doğrudan etkili olmaktadır. Endüstri 4.0 teknolojilerinin sağladığı dijitalleşme ve otomasyon imkanları, işletmelerdeki bileşenlerin birbiriyle haberleşmesine ve insanlarla gerçek zamanlı iletişim kurabilmesine olanak sağlamıştır. Bu durum, canlı süreç izleme yöntemlerinin de etkisiyle, yüksek boyutlu verilerin üretilmesine büyük katkı sağlamaktadır. Tahminsel bakım kapsamında değerlendirilen, verilerin detaylı analizi ile arızaların gerçekleşmeden tahmin edilmesi, potansiyel arızaları önceden tespit etmeyi ve arızaya zamanında müdahaleyi hedefler. Böylece öngörülmeyen arızalar önlenebilir, iş duruş süreleri minimize edilebilir, kaynak kullanımı ve ekipman varlık ömrü optimize edilebilir. Bu çalışma, Kalyon Fotovoltaik (PV) Güneş Teknolojileri Fabrikası'ndaki üretim hattında yer alan silisyum eritme ve kristal büyütme fırını üzerindeki sensörlerden elde edilen gerçek zamanlı verilerin bir araya getirilmesiyle, veri odaklı analiz ve tahmin süreçlerine odaklanmaktadır. Zaman serisi analizi, sıralı verilerdeki zamansal bağlantıları ve eğilimleri inceleyerek makinelerin dinamik davranışlarını anlamada önemli bir yöntem sunmaktadır. Büyük verilerdeki karmaşık desenleri tanımlama kapasitesine sahip derin öğrenme teknikleri, veri analizi ve tahmin süreçlerinde kritik bir rol oynamaktadır. Özellikle uzun kısa süreli bellek ağları (LSTM), zaman serisi verilerindeki karmaşık ilişkileri öğrenme yeteneği sayesinde, zamansal veriler üzerinde yüksek doğrulukla tahmin ve analiz yapılmasına olanak tanımıştır. Keşifsel veri analizi (EDA) ve veri ön işleme süreçleri, modelin etkinliğini artırmak amacıyla titizlikle uygulanarak optimize edilmiş bir veri seti oluşturulmuştur. Bu veri seti üzerinde gerçekleştirilen dört ayrı deneyde, modelin doğruluğunu iyileştirmeye yönelik ek özellikler ve uygulamalar test edilmiş, her bir denemede iyileştirmeler gözlemlenmiştir. Sonuç olarak, modelin doğruluk oranı kademeli bir şekilde artırılmış ve nihayetinde zaman serisi verilerinin tahmininde %98'lık bir doğruluk oranına ulaşılmıştır.The use of renewable energy sources to meet energy demands has significantly increased the importance of solar energy systems and accelerated their adoption. Solar energy technologies are now a fundamental component of the global transition toward sustainable energy production. In this context, photovoltaic systems play a critical role in the energy sector. However, the high costs and operational sensitivities of these systems' production processes have a direct impact on both production efficiency and quality consistency.Industry 4.0 technologies provide opportunities for digitalization and automation by enabling real-time communication between system components and humans. These advancements support the collection and analysis of large datasets through live process monitoring. Predictive maintenance processes use detailed data analysis to detect potential failures before they occur and allow for timely interventions. This approach helps to prevent unexpected breakdowns, reduce downtime, optimize resource utilization, and extend the operational lifespan of equipment.This study focuses on analyzing real-time data collected from sensors installed on silicon melting and crystal growth furnaces in the production line of the Kalyon Photovoltaic (PV) Solar Technologies Factory. Time series analysis is a crucial method for identifying temporal relationships and trends in sequential data, which helps in understanding the dynamic behavior of machinery. Deep learning techniques, particularly long short-term memory (LSTM) networks, play an essential role in analyzing and predicting complex patterns in time-series data. Exploratory data analysis (EDA) and data preprocessing steps were carefully applied to create an optimized dataset aimed at improving model performance. Four separate experiments were conducted on this dataset, testing additional features and applications to enhance the model's accuracy. As a result, the model's accuracy was progressively improved, ultimately reaching a 98% accuracy in predicting time series data
The effect of low-intensity resistance exercise training on Serum tumor biomarkers and quality of life in women with breast cancer: A randomized controlled trial
Get PDFBackground As the role of physical activity in breast cancer management gains increasing recognition, understanding the effects of aerobic exercise on patients' quality of life and biological markers has emerged as a critical area of research to inform clinical practices and improve patient outcomes. Objective This study aims to investigate the impact of low-intensity resistance exercise training on serum tumor biomarkers and quality of life in women with breast cancer, providing evidence for its potential role as an adjunct therapy in improving clinical outcomes and patient well-being. Methods This study was carried out on 70 women between the ages of 18 and 65, who were included in the study while receiving chemotherapy treatment. The subject was divided into low-intensity resistance exercise (Group I) and control (Group II). Demographic characteristics, quality of life, and serum tumor biomarkers were evaluated. Participants in group I underwent a 12-week exercise programme of low-intensity resistance exercises three times a week (three metabolic equivalents, approximately 30 min/session). Results The quality of life has been found to be significantly higher in the low-intensity resistance exercise group (p < 0.05). The serum tumor biomarker levels of CEA, CA15-3, and CA19-9 decreased across all participants. However, the reduction in serum tumor biomarker levels was found to be more pronounced in Group 1 (p < 0.05). Conclusions Low-intensity resistance exercise has demonstrated a positive effect on the quality of life in women with breast cancer. Within the framework of oncological rehabilitation, aerobic exercise regimens may be preferred due to their role in promoting improvements in serum tumor biomarker levels and contributing to enhanced quality of life
Psychometric Properties of a Turkish Version of the Assessment of Physiotherapy Practice Tool
No full textBackground and Purpose Assessment of physiotherapy undergraduate students in clinical placement is academically important and holds practical value. This study aimed to translate the Assessment of Physiotherapy Practice (APP) tool, which is widely used for this purpose, into Turkish and to verify the factor validity and examine the reliability of this version using a cross-sectional design on senior physiotherapy students.Methods The APP and performance indicators were translated into Turkish in accordance with the recommended protocol. Exploratory and confirmatory factor analyses were conducted using scale data from 100 students. For reliability analyses, 10 clinical supervisors from a Turkish university assessed 63 students using the Turkish version of the Assessment of Physiotherapy Practice (APP-TR) tool. Supervisors performed the APP-TR assessment for each student at week 3 and at the end of the 6-week clinical placement, yielding a score for analysis.Results In both assessments, the scale demonstrated high levels of internal consistency (Cronbach's alpha = 0.961 for the first assessment, 0.959 for final assessment). Two factors were identified by exploratory factor analysis explaining 65.84% of the total variance and a two-factor model was confirmed to fit by confirmatory factor analysis. Test-retest reliability was assessed by ICC and was high for all subheadings and total score. For all items, the close agreement was at least 98.41% and the exact agreement was at least 88.89% in the percentile analysis between the two assessments.Discussion The results of this study suggest that the APP-TR is a reliable and valid tool for evaluating final year physiotherapy students in a clinical placement in Turkey
Climate change impacts on hydrological and meteorological variables in Diyarbakır Province: trend analysis and machine learning-based drought forecasting
Get PDFThis study examines the effects of climate change using monthly precipitation, evapotranspiration, temperature, relative humidity, and streamflow data (1963–2021) obtained from meteorological and hydrological stations in the city center of Diyarbakır. For trend analysis, Mann–Kendall (MK) test, Sen’s Slope Test (SS), and Innovative Polygon Trend Analysis (IPTA) methods were applied, and the results were compared. The study evaluates the performance of these methods in different climate variables, showing that statistically significant trends in precipitation, temperature, humidity, evaporation, and flow variables occur in certain months in Diyarbakır. The findings provide an important data source for water resource management and drought risk assessments. Additionally, drought analyses were performed using the Standardized Precipitation Index (SPI), Standardized Precipitation-Evapotranspiration Index (SPEI), and Streamflow Drought Index (SDI), and SDI predictions were made using machine learning techniques such as Multilayer Perceptron (MLP), Linear Regression (LR), Support Vector Machines (SVM), and Random Forest (RF) algorithms. The algorithm providing the best prediction performance was determined. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025
A study on gambling behavior in Turkiye: Perceptions, attitudes, thoughts, and behaviors toward gambling
No full textBackground: The aim of this quantitative study conducted with 5008 individuals aged 15 and above in 12 provinces across Turkey was to determine the prevalence and significant variables of gambling behavior in our country and to examine the gambling behaviors, perceptions, thoughts, and attitudes of this population towards gambling. The goal is to generate concrete, original, culturally sensitive, feasible, and effective recommendations for preventive and risk-reducing policies. It is the first and only comprehensive investigation into gambling behavior in Turkey, offering guidance in this field. Methods: In this study, which was conducted with an epidemiological cross-sectional design, a stratified random sampling technique was employed, and data were collected using computer-assisted faceto-face interviews. Individuals to be surveyed in households were randomly selected using the Kish method. Results: Three hundred forty-one participants (6.81%) reported having gambled at least once (GALO) in their lifetime, while the remaining participants stated they had never gambled (NG). Among the GALO group, 100 individuals (29.33%) reported regular participation in gambling activities during the data collection period. The most commonly played types of gambling were sports betting (55.4%), national lottery (42.2%), numeric lottery (34.6%), and bingo (30.8%). The ages of first-time gambling ranged from 6 to 41. Tobacco, alcohol, and substance use were significantly more common in the GALO group compared to the NG group (P < .001). Conclusion: Understanding the prevalence of gambling behavior and underlying motivations is crucial for creating awareness and implementing effective preventive measures. We must determine its prevalence, examine societal attitudes, highlight its presence, and prioritize solution-oriented strategies
Analysis of the effects of Fed's monetary policies on inflation in the Usa after the 2008 global crisis through co-integration and causality tests
Get PDFIn recent years, high inflation has emerged as a common fundamental problem for many countries. Studies investigating the causes of inflation have increased due to the high inflation observed worldwide following the 2008 Global Financial Crisis and the COVID-19 pandemic. Parallel to this, there has been a growing interest in research examining the effects of monetary policies on inflation. This study analyzes the short- and long-term impacts of the Federal Reserve's (FED) monetary policies on inflation in the United States through co-integration and causality tests. In particular, asset purchases and sales initiated after the 2008 Global Financial Crisis, as interest rate changes failed to produce the desired effects, have provided opportunities to better analyse the impacts of monetary policies. Inthis research, the period from January 2008 to August 2024, including the COVID-19 era, was examined to determinewhether changes in the FED's balance sheet, the industrial production index, the unemployment rate, and inflation were statistically significant. In this research, based on the results of cointegration, FMOLS, DOLS analysis, and causality tests, increases in the balance sheet were found to have a statistically significant impact on inflation in both the short and long term. Additionally, causality tests revealed that changes in the FED's balance sheet are a Granger cause of inflation. In the long term, inflation, changes in the balance sheet size, and the industrial production index were identified as causes of changes in unemployment. This finding highlights the importance of central bank balance sheet sizes and the monetary policies influencing these sizes
A Model Proposal For The Contınuıty Of Desıgn Awareness In The Basıc Educatıon System
Get PDFTürkiye's basic education system includes a range of courses designed to prepare students for undergraduate education. However, the design education component of the curriculum is considered inadequate. Students interested in design enter university without prior experience and therefore need a long period of time to master basic design concepts. It is known that innate design instincts are gradually diminishing due to environmental factors. It is believed that these skills can be developed in the early years through targeted education. This study aims to identify the age at which design abilities begin to decline and proposes the integration of design-based content into the curriculum at this critical stage. For this purpose, the Visual Arts curriculum of primary schools in Türkiye was analyzed and relevant design theories and methodologies were extensively reviewed. The study found similarities between the Visual Formation and Communication outcomes of the Visual Arts curriculum and the basic design course in undergraduate education. Based on the views of three Visual Arts educators, the model aims to increase the effectiveness of basic design courses at the university level. It is expected that developing design awareness in early education will have a positive impact on undergraduate education and raise more talented designers. The implementation of this model is expected to improve the quality of design education. © 2025 ISEC Press