İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Low-cost mobile lidar and RTK GNSS integration for georeferenced HBIM of cultural heritage: A scan-to-BIM workflow based on multi-sensor data fusion for accuracy enhancement
(The Association for Computer-Aided Architectural Design Research in Asia, 2026) Aş Çemrek, Handan; Işıkdağ, Ümit
This study discusses a scan-to-BIM workflow based on the integration of low-cost mobile LiDAR and RTK GNSS, focusing on cultural heritage, and compares the performance of two different portable scanning systems. An 18th-century Sibyan School was selected as a case study, managed by Mimar Sinan Fine Arts University (MSGSU), Istanbul. The study employed a viDoc RTK-enabled iPad Pro (photogrammetry + LiDAR) and a Realsee Galois M2 tripod mounted panoramic 3D LiDAR scanner. Point cloud data obtained from both systems were georeferenced with RTK GNSS control points, and their location accuracies were comparatively assessed. The generated point cloud datasets were combined using a multi-sensor data fusion approach and fed into an HBIM-based modeling process. Component geometries were analyzed for detail, data gaps, and noise. The findings indicate that the RTK-enabled viDoc method offers advantages in terms of location accuracy and level of detail, while the Realsee Galois M2 stands out for its rapid deployment, indoor coverage, and practical field use. In conclusion, the study suggests that low-cost mobile systems should be considered as part of a multi-sensor hybrid cultural heritage documentation and digital twin production strategy rather than completely replacing terrestrial laser scanning and suggests a repeatable workflow for similar projects.
A photo to 3D workflow for generation of LOD3 digital building representation
(ABC2 Publishing, 2026) Aş Çemrek, Handan; Işıkdağ, Ümit; Bekdaş, Gebrail; Niğdeli, Sinan Melih
This study proposes a sequential AI workflow for generating LOD3-oriented digital building representations from a single architectural photograph. The novelty of the approach lies in the use of Gemini Flash 2.5 for preprocessing and Hunyuan3D 2.1 for image-to-3D generation within a preprocessing–reconstruction decoupled pipeline. Rather than directly producing a 3D model from an uncontrolled photograph, the workflow first normalizes the image by isolating the building, converting the scene to daylight, and approximating an isometric view, and then converts this image into a textured 3D mesh. In this way, the method offers a rapid, low-data, and reproducible alternative for cultural heritage visualization, comparative analysis, and digital archiving. Experiments were conducted on 16 photographs of architectural structures representing typologies from the early Republican and Ottoman periods. The findings demonstrate that the method offers a tool for the digital documentation of cultural heritage, archiving and academic research. The resulting 3D outputs are suitable for urban silhouette analysis at the LOD3, volumetric comparison, testing urban design scenarios, and the creation of digital heritage archives. The method works with a single photograph and cloud-based AI models, which is advantageous when on-site scanning is difficult, risky, or costly. Furthermore, the workflow can be enhanced with multiple images, text input, and other sensor data to produce digital twins with geometric accuracy. In this respect, the study demonstrates that by combining cutting-edge technologies in 3D modeling from a single image, 3D twins of architectural objects can be produced, and proposes an AI-powered method for creating digital architectural representations.
Green recovery of phenolic-rich extracts from pineapple crowns using deep eutectic solvents: FTIR characterization and chemometric optimization
(MDPI Publishing, 2026) Ertaş, Ayşe Nur; Akkın, Zeynep Azra; Bozkurt, Rabia Nur; Toprakçı, İrem; Cadar, Oana; Şahin, Selin
This study presents an integrated green analytical strategy combining deep eutectic solvent (DES) screening, Fourier transform infrared spectroscopy (FTIR), principal component analysis (PCA), and Box–Behnken response surface optimization for the valorization of pineapple crowns, an underexplored agro-industrial by-product. An ultrasound-assisted extraction (UAE) method was developed using DESs to obtain phenolic-rich extracts from pineapple (Ananas comosus) crowns. Five DES formulations were characterized by FTIR to evaluate their characteristic vibrational features, while extraction performance was assessed using total phenolic content (TPC) and antioxidant activity determined by the DPPH assay. Among the tested solvents, glycerol/urea (1:1, molar ratio) exhibited the highest extraction performance based on TPC and antioxidant activity measurements. PCA was used as a complementary tool to visualize the relationships among the DES formulations. Following preliminary temperature screening, 50 ◦C was selected for the optimization experiments. The extraction conditions were optimized using a Box–Behnken design coupled with response surface methodology (BBD–RSM), while desirability function analysis was applied to identify the optimum extraction conditions. The predicted optimum conditions were a sample mass of 1.09 g, an extraction time of 24.75 min, and a water content of 38.21%, yielding predicted responses of 34.66 mg GAE/g air-dried sample (ADS) for TPC and 12.30 mg Trolox equivalent antioxidant capacity (TEAC)/g-ADS for antioxidant activity. Experimental confirmation at the optimum showed deviations below 2% between predicted and observed responses, supporting the adequacy of the models. The quadratic models showed high goodness of fit (R2 = 0.9871 for TPC, and R2 = 0.9906 for antioxidant activity). Overall, the integration of DES-based UAE, FTIR characterization, PCA, and chemometric optimization provides a sustainable analytical approach for producing phenolic-rich extracts from pineapple crown biomass.
Sex differences in ambulatory blood pressure among patients referred for 24-hour monitoring a retrospective cross-sectional study
(Lippincott Williams and Wilkins Ltd., 2026) Atmaca, Hasan; Gürbüz, Doğaç Çağlar; Erol, Mustafa Kemal; Yetkin, Ertan
Few studies have addressed the differences between hypertensive women and men regarding the diagnosis and control of blood pressure (BP). Accordingly, we aimed to assess the possible discrepancies in BP values between women and men who underwent 24-hour ambulatory blood pressure monitoring. The study population comprised all patients who underwent 24-hour ambulatory blood pressure monitoring, which was retrospectively screened and recorded. Demographic and clinical characteristics of 1204 patients were included in the analysis. Sex-specific analyses of all patients, including those with and without a former diagnosis of hypertension (HT), were performed. Two-thirds of the patients were women. In the general population, both systolic and diastolic BP levels in women were significantly lower than those in men. BP in women was also significantly lower than that in men, both in patients with and without a former diagnosis of HT. Our study demonstrated that women exhibited significantly lower systolic and diastolic BP values than men in this referral cohort, irrespective of a prior diagnosis of HT. While the exact mechanisms remain to be elucidated, this difference highlights the necessity for further research into sex-specific hemodynamic profiles. Consequently, further research is necessary to establish diagnostic thresholds and BP targets to achieve effective and targeted management of BP abnormalities in women.
Rethinking the digital transformation roadmap for SMEs
(IEEE, 2026) Apilioğulları, Lütfi Sübhan
Abstract— Small and medium-sized enterprises (SMEs) often face significant obstacles in digital transformation (DT) due to fragmented operations, disconnected systems, limited resources, and the lack of execution-ready roadmaps tailored to their operational constraints. This study proposes the IDEAL–ACT model, a dual-domain, modular framework designed to support 1 remains insufficiently addressed: the lack of transformation roadmaps that are executable, scalable, and aligned with the operational realities of SME manufacturing environments [9], [15], [16], [24]. the Widely used digital maturity and Industry 4.0 readiness models—such as RAMI 4.0, the Industrie 4.0 Maturity Index, and IMPULS Readiness Model—provide useful SMEs in progressing from basic workflow digitization toward integrated, data-enabled, and analytics-ready operations. The vertical domain, IDEAL (Identify, Digitize, Establish, Accumulate, Learn), focuses on internal process stabilization, workflow digitization, systems integration, data accumulation, and analytical learning. The horizontal domain, ACT (Aggregate, Contextualize, Transform), extends this foundation toward external connectivity, contextual analytics, and future AI-oriented applications. A central premise of the framework is that Cyber Physical Systems (CPS) should not be treated as an initial prerequisite, but as a capability that is progressively developed through structured IT–OT integration. The framework was applied in a mid-sized construction chemicals manufacturer to assess its practical feasibility. The case demonstrated improvements in traceability, synchronization, data continuity, and selected operational performance indicators, while also clarifying the staged nature of analytics adoption. Rather than prescribing technology-first transformation, it provides managers with a sequence aligned with organizational and infrastructure readiness. The IDEAL–ACT model contributes to DT theory and practice by bridging the strategy–execution gap, positioning CPS as an enabling capability for analytics readiness, and emphasizing that, particularly in SME contexts, intelligence should follow integration.
