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Visual review creation by using text-based image manipulation for hotel reviews using LLMs
No full textDijital çağda müşteri yorumları, özellikle otelcilik sektöründe, karar verme sürecinde önemli bir rol oynamaktadır. Metin tabanlı yorumlar değerli bilgiler sunsa da, potansiyel müşteriler genellikle öznel ifadeleri doğru şekilde yorumlamakta zorlanmaktadır. Araştırmalar, görsel temsillerin anlaşılırlığı artırdığını ve kullanıcı etkileşimini güçlendirdiğini göstermektedir. Bu çalışma, metin tabanlı görüntü manipülasyonu ile yazılı otel yorumlarını orijinal otel görselleri üzerinde değişiklikler yaparak görsel incelemelere dönüştürmeyi amaçlamaktadır. Stable Diffusion modeli kullanılarak yazılı otel yorumları girdileriyle otel odası görüntüleri manipüle edilmiştir. Manipüle edilen görsellerin değerlendirilmesinde SSIM (Structural Similarity Index Measure) ve PSNR (Peak Signal-to-Noise Ratio) metrikleri uygulanmıştır. Ayrıca, manipüle edilmiş ve orijinal görüntü örnekleri karşılaştırmalı olarak sunulmuştur. Sonuçlar, modelin küçük ölçekli değişikliklerde başarılı olduğunu, ancak büyük değişikliklerde kalite kaybı yaşadığını göstermektedir.In the digital age, customer reviews play a crucial role in decision-making, particularly in the hospitality industry. While text-based reviews provide valuable insights, potential customers often struggle to interpret subjective opinions accurately. Research indicates that visual representations enhance comprehension and user engagement. This study aims to transform written hotel reviews into visual reviews by applying text-based image manipulation to original hotel images. Using the Stable Diffusion model, hotel room images were manipulated based on written hotel review inputs. The manipulated images were evaluated using SSIM (Structural Similarity Index Measure) and PSNR (Peak Signal-to-Noise Ratio) metrics. Additionally, comparisons between manipulated and original images were presented. The results show that the model performs well in small-scale modifications, while larger modifications lead to quality degradation.Publisher's Versio
Therapist's assessment of their patient's session-level emotional processes: validation of the in-session patient affective reactions questionnaire–clinician form
No full textThis study has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska\u2010Curie grant agreement No 101030608. Open access publishing facilitated by Universita di Pavia, as part of the Wiley \u2010 CRUI\u2010CARE agreement.Background: The current study aimed to evaluate a therapist version of the in‐Session Patient Affective Reactions Questionnaire(SPARQ). The SPARQ was developed to assess a pattern of emotions, thoughts, and behaviors experienced by a patient towardtheir therapist during a session. The SPARQ has existed only as a patient self‐report measure and has demonstrated promise as apsychotherapy process measure. This study intended to validate a complementary clinician‐report version of the questionnaire:the SPARQ‐C.Methods: A sample of licensed mental health clinicians (N = 151) completed the SPARQ‐C along with other measures. Dataanalysis involved exploratory and confirmatory factor analyses (CFA). Reliability and convergent and criterion‐related validityof the SPARQ‐C were also evaluated.Results: The SPARQ‐C preserved the two‐factor structure: positive affect (k = 4, ω total = 0.84) and negative affect (k = 4, ωtotal = 0.70), which correlated r = 0.26. CFA using the a priori model two‐factor model based on the patient‐report versionprovided the following fit indices: χ2[19] = 26.01, CFI = 0.98; TLI = 0.97, RMSEA = 0.05 (90% CI [0.00, 0.09]), and SRMR = 0.05.The SPARQ‐C scales demonstrated convergent and criterion‐related validity with measures of other elements of the therapeuticrelationship, session outcome, and demographic‐clinical variables.Discussion: The SPARQ‐C is a reliable measure suitable for both clinical and research purposes. It allows for a nuancedassessment of patients' session‐level affective responses towards their therapist from the clinician's perspective.Horizon 2020 Framework ProgrammePublisher's Versio
Yönetim bilişim sistemlerinde mekânsal veri, CBS ve uzaktan algılama yaklaşımları
No full text[No abstract available]Publisher's Versio
Nozul geometrisinin MQL ve hava soğutma sistemlerindeki yüzey soğutma performansına etkisi
No full textBu çalışmada, talaşlı imalatta sürdürülebilir soğutma–yağlama uygulamalarına yönelik olarak dört farklı nozul tasarımının soğutma performansı incelenmiştir. Karbon çelik plaka 90 °C’ye ısıtılmış ve üç farklı ortamda (MQL, basınçlı hava, CO₂) soğutulmuştur. Sıcaklık verileri, plaka üzerinde üç noktaya yerleştirilen K tipi termokupllarla kaydedilmiş ve 90 °C’den 50 °C’ye düşüş süresi performans kriteri olarak kullanılmıştır. Bulgular, MQL’de dar çıkış çaplı nozulların merkez bölgelerde, hava ve CO₂’de ise geniş çıkış çaplı nozulların daha yüksek soğutma etkinliği sağladığını göstermiştir. En kısa soğuma süreleri CO₂ ile elde edilmiş, MQL ise sınırlı soğutma kapasitesiyle en uzun süreleri vermiştir. Sonuç olarak, nozul geometrisinin ve akışkan türünün soğutma performansını belirleyen kritik faktörler olduğu ortaya konmuştur.Publisher's Versio
Effect of modulated anodal stimulation over the dorsolateral prefrontal cortex on working memory: a preliminary study
No full textObjectives: Working memory has two components: temporary storage and manipulation of the information necessary for cognitive behavior through the central executive system. This study aimed to investigate the effects of modulated anodal transcranial direct current stimulation (mtDCS) of the dorsolateral prefrontal cortex on working memory. Materials and Methods: Twelve volunteers without neurological or psychiatric disorders and without drug use participated. Working memory performance was assessed with a visual 3-back task using consonant letters during stimulation. A 20/minute training session was conducted to facilitate learning, and participants who achieved an accuracy rate of 50% or higher proceeded to the main experiment. Four stimulation conditions were applied, each lasting 10 minutes: mtDCS-11 Hz and mtDCS-22 Hz (1.70 mA offset, 0.35 mA peak/to/peak), direct current (DC) (2 mA), and sham. Reaction times and total correct responses were recorded. Results: Statistical analysis of the left dorsolateral prefrontal cortex (DLPFC) stimulation revealed a significant difference in the mean numbers of correct responses among the mtDCS and transcranial direct current stimulation (tDCS) conditions, but not compared with sham. The mean number of correct responses under mtDCS-11Hz and mtDCS-22Hz was significantly lower than under DC stimulation; however the performance decrement under 11 Hz mtDCS was the most pronounced among the active conditions. Conclusion: mtDCS-11Hz and mtDCS-22Hz negated the subtle facilitation of tDCS might have provided.Publisher's Versio
Intelligent health monitoring in 6G networks: machine learning-enhanced VLC-based medical body sensor networks
No full textRecent advances in Artificial Intelligence (AI)-driven wireless communication demand innovative Sixth Generation (6G) solutions, particularly in hospitals where reliability and secure communication are crucial. Visible Light Communication (VLC) leverages existing lighting systems to deliver high data rates while mitigating electromagnetic interference. However, VLC systems in medical settings face fluctuating signal strength and dynamic channel conditions due to patient movement, necessitating advanced optimization techniques. This paper employs a site-specific ray tracing technique in Medical Body Sensor Networks (MBSNs) channel modeling within hospital scenarios to derive channel impulse responses (CIRs) and model path loss (PL) and Root Mean Square (RMS) delay spread in two distinct hospital settings. In the first section, we evaluate Machine Learning (ML)-based adaptive modulation in VLC-enabled MBSNs and introduce a Q-learning technique enabling real-time adaptation without prior environmental knowledge. In the second section, we propose a Long Short Term Memory (LSTM) based approach to estimate PL and RMS delay spread in dynamic hospital environments. The Q-learning method consistently achieved the target symbol error rate (SER), though spectral efficiency (SE) was sometimes lower than optimal due to quantization limits and a cautious approach near the SER threshold. For LSTM-based channel estimation algorithm, simulation studies show that in the Intensive Care Unit (ICU) ward scenario, D1 has the highest Root Mean Squared Error (RMSE) for estimated path loss (1.6797 dB) and RMS delay spread (1.0567 ns), whereas in the Family-Type Patient Rooms (FTPR) scenario, D3 exhibits the highest RMSE for estimated path loss (1.0652 dB) and RMS delay spread (0.7657 ns).Preprint's Versio
Speculative design as a catalyst in transdisciplinary education processes
No full text21. yüzyılın ekolojik, toplumsal ve teknolojik dinamiklerle şekillenen karmaşık krizleri, geleneksel disipliner eğitim modellerinin epistemolojik sınırlarını zorlamakta ve yeni pedagojik paradigmaları zorunlu kılmaktadır. Bu bağlamda transdisiplinerlik, akademi ile toplum arasındaki sınırları eriten ve farklı bilgi türlerini eşit düzeyde bir araya getiren ortak üretim odaklı bir yaklaşım olarak öne çıkmaktadır. Bu doğrultuda, spekülatif tasarımın eleştirel araçlarının transdisipliner süreçleri zenginleştirici bir katman olarak bütünleştirilmesi, bu çalışmanın odaklandığı temel ilişkilerden birini oluşturmaktadır. Bu çalışma, söz konusu arayışlara katkı sunmak amacıyla, spekülatif tasarım yaklaşımının transdisipliner eğitim süreçleri için özgün bir epistemik katalizör işlevi görebileceği argümanı üzerine kuruludur. Çalışma, spekülatif tasarımın geleceği öngörmekten ziyade ‘olası gelecekler’ ve ‘alternatif şimdiler’ üzerinden mevcut durumu sorgulayan eleştirel yapısına odaklanmaktadır. Bu bağlamda, spekülatif tasarımın sunduğu kurgusal senaryo, anlatı ve prototiplerin, transdisiplinerliğin soyut ilkelerini tartışılabilir somut zeminlere taşıma ve karmaşık sorunları çok boyutlu ele alma noktasında stratejik bir potansiyel taşıdığı tartışılmaktadır. Yürütülen kavramsal analiz, bu iki yaklaşımın sentezinin, eğitim sürecini tek yönlü bilgi aktarımına dayalı pedagojik modellerden çıkarıp, belirsizliklerle baş edebilen dinamik bir anlam üretme pratiğine dönüştürebileceğini öne sürmektedir. Bu çerçevede spekülatif tasarım araçlarının, transdisiplinerliği harekete geçirerek tasarım eğitimini piyasa odaklı problem çözme pratiğinin ötesine taşıyabileceği ve onu toplumsal hayal gücünü genişleten, etik ve dönüştürücü bir eylem alanı olarak yeniden konumlandırmaya elverişli bir zemin sunabileceği savunulmaktadır.The complex crises of the 21. century, shaped by ecological, social, and technological dynamics, are challenging the epistemological limits of traditional disciplinary education models and necessitating new pedagogical paradigms. In this context, transdisciplinarity stands out as a co-production oriented approach that dissolves the boundaries between the academy and society and brings together different types of knowledge on an equal level. Accordingly, the integration of the critical tools of speculative design as an enriching layer for transdisciplinary processes constitutes one of the fundamental relationships focused on in this study. This study is built upon the argument that the speculative design approach can serve as a unique epistemic catalyst for transdisciplinary education processes, with the aim of contributing to these pursuits. The study focuses on the critical stance of speculative design, which questions the current situation through ‘possible futures’ and ‘alternative presents’ rather than predicting the future. In this context, it is discussed that the fictional scenarios, narratives, and prototypes offered by speculative design carry a strategic potential in terms of translating the abstract principles of transdisciplinarity into debatable concrete grounds and addressing complex problems in a multidimensional manner. The conducted conceptual analysis suggests that the synthesis of these two approaches can transform the educational process from pedagogical models based on one-way knowledge transfer into a dynamic meaning-making practice capable of coping with uncertainties. Within this framework, it is argued that speculative design tools can activate transdisciplinarity, thereby elevating design education beyond market-driven problem-solving and repositioning it as an ethical, transformative field of action that expands societal imagination.Publisher's Versio
Sustainable soil stabilization using colemanite: experimental and numerical analysis of sandy soils for improved geotechnical properties
No full textThis paper discusses the use of colemanite, a boron compound, which is a natural additive to geotechnically improved sandy soils, thus providing an eco-friendly alternative to conventional soil stabilization. Clean angular sand was the base material with the addition of colemanite in amounts of 0%, 5%, 10%, and 15% by dry mass. Various laboratory tests, such as Atterberg limits, void ratio, specific gravity, compaction, permeability, and unconsolidated undrained triaxial tests, were carried out to determine the physical and mechanical characteristics of the produced mixtures. Numerical modeling, adopted by the PLAXIS finite element program, was used to carry out simulations under various conditions for soil profiles to determine and compare soil behavior. The findings revealed that the addition of colemanite significantly reduced permeability and void ratios while enhancing stiffness and strength, with 15% colemanite yielding the best performance. This study is one of those that focuses on the introduction of colemanite, which can also act as an effective stabilizer and is a much greener and more environmentally friendly option. Apart from this, it has other advantages both economically and ecologically by reducing the amount of cement, which is a high carbon source required for building based on this. The discoveries bring in the further development of green geotechnical engineering, which also includes the construction of sustainable infrastructures.Publisher's Versio
Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin
No full textOpen access funding provided by the Scientific and Technological Research Council of T\u00FCrkiye (T\u00DCB\u0130TAK). Not applicable.Drought is a detrimental natural hazard that is a threat to the social and ecological aspects of life. Unlike other natural hazards, drought occurs slowly and gradually, making it difficult to detect its formation, leading to severe consequences in the affected area. Therefore, precise and reliable monitoring of drought is crucial to implement effective drought mitigation strategies. Drought indices are significant tools for drought monitoring; single variable indices are quite frequently used in the literature to assess drought conditions. Although these indices are generally accurate at characterizing the specific type of drought they were developed for, they fail to provide a comprehensive representation of drought conditions. Hence, this study applies a nonparametric multivariate standardized drought index (MSDI) that integrates meteorological and hydrological drought to investigate the dynamics of drought events within the Seyhan River Basin (SRB). Trend analyses were conducted to detect any directional changes in the drought patterns within the SRB. Additionally, this study examined the potential effects of El Nino-Southern Oscillation events on the MSDI series to determine their impact on drought conditions in the SRB. The results indicate that the MSDI outperforms the single variable indices in characterizing drought conditions within the basin. The calculations conducted for 5 different time scales 1, 3, 6, 9 and 12-months showed satisfactory results in multivariate analysis of drought. Upon examining the trend analyses, MSDI series showed an insignificant negative trend in all stations within the SRB. The MSDI series was strongly influenced by Nino 3.4 and Arctic Oscillation (AO) indices while sunspot activities had a relatively weak impact on the MSDI series.Türkiye Bilimsel ve Teknolojik Araştırma KurumuPublisher's Versio