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Pulmonary Findings in Children With Colchicine-Resistant Familial Mediterranean Fever
No full textBackground: Approximately 5%–10% of Familial Mediterranean Fever (FMF) patients fail to achieve full disease control despite adequate colchicine therapy and these patients may be vulnerable for lung involvement. Objectives: This study aimed to examine pulmonary findings on thoracic computerized tomography (CT) in children with colchicine-resistant FMF (crFMF), and their correlation with clinical characteristics regarding pulmonary involvement in childhood FMF is not well understood, and there is a lack of research specifically evaluating crFMF cases. Methods: This cross-sectional study investigated pulmonary findings in 31 patients diagnosed with crFMF, focusing on thoracic CT scan findings and respiratory symptoms such as dry cough, shortness of breath, and exercise intolerance. The study further incorporated spirometry evaluations to assess pulmonary functions. Results: Of the patients, 29.1% had normal thoracic CT scans, whereas 70.9% showed abnormalities, with nodules being the most common finding (61.2%). One patient demonstrated subpleural honeycombing and bilateral ground-glass opacities, indicating FMF-related interstitial lung disease (ILD). Chest pain was the predominant symptom during the attacks (70.9%), while shortness of breath persisted most frequently. While 32% of the patients had abnormal values of spirometry at postattack period, the rate was 14.2% when they were clinically stable. There was an increase at mean forced expiratory flow at 25%–75% of FVC (FEF25-75) at the stable phase. (83.1 ± 19.2 vs. 92.2 ± 21.6, p = 0.05). No significant differences in CT findings were noted between genotypes and ISSF scores. Conclusions: The study highlights a high prevalence of radiological findings in patients with crFMF; notably, a case with findings suggestive of FMF-related interstitial lung involvement was defined. Respiratory symptoms and abnormal values at spirometry were frequently accompanied by FMF attacks. These findings underscore the need for respiratory evaluation thoroughly in patients with crFMF to detect subclinical or overt pulmonary involvement and to guide appropriate management strategies
Comparison of Temperament Traits and Insight Levels Between Schizophrenia Patients With and Without A Criminal History
No full textTÜRKİYE CUMHURİYETİ’NİN KURULUŞ DÖNEMİNİN İDEOLOJİK TEMELİ, SİYASAL FELSEFESİ VE ANAYASAL YAPISI
No full textScalable Gender Profiling from Turkish Texts Using Deep Embeddings and Meta-Heuristic Feature Selection
No full textAccurate gender identification from written text is critical for author profiling, recommendation systems, and demographic analytics in digital ecosystems. This study introduces a scalable framework for gender classification in Turkish, combining contextualized BERTurk and subword-aware FastText embeddings with three meta-heuristic feature selection algorithms: Genetic Algorithm (GA), Jaya and Artificial Rabbit Optimization (ARO). Evaluated on the IAG-TNKU corpus of 43,292 balanced Turkish news articles, the best-performing model-BERTurk+GA+LSTM-achieves 89.7% accuracy, while ARO reduces feature dimensionality by 90% with minimal performance loss. Beyond in-domain results, exploratory zero-shot and few-shot adaptation experiments on Turkish e-commerce product reviews demonstrate the framework's transferability: while zero-shot performance dropped to 59.8%, few-shot adaptation with only 200-400 labeled samples raised accuracy to 69.6-72.3%. These findings highlight both the limitations of training exclusively on news articles and the practical feasibility of adapting the framework to consumer-generated content with minimal supervision. In addition to technical outcomes, we critically examine ethical considerations in gender inference, including fairness, representation, and the binary nature of current datasets. This work contributes a reproducible and linguistically informed baseline for gender profiling in morphologically rich, low-resource languages, with demonstrated potential for adaptation across domains such as social media and e-commerce personalization
GASTRONOMY AND 3D PRINTERS (GASTRONOMİ VE 3D YAZICILAR)
No full textGıda ve üretim sektörlerinde 3Dyazıcılar ve ileri dijital teknolojiler, yenilikçi tasarım uygulamalarıylaönemli bir dönüşümü temsil etmektedir. Bu teknolojiler, kişiye özel ürün tasarımıve üretimi ile malzeme israfını en aza indirme, ekonomik verimliliği artırma veçevresel sürdürülebilirliği destekleme açısından modern bir üretim paradigmasıolarak öne çıkmaktadır. Aynı zamanda küresel rekabet gücünü artırarakendüstriyel dönüşümü hızlandıran bir katalizör görevi görmektedir. 3Dyazıcıların gıda sektörü ve gastronomi alanındaki entegrasyonu, yemek tasarımı,sunumu ve üretim süreçlerinde devrim niteliğinde yenilikler sunmaktadır.Şeflere kişiselleştirilmiş, estetik açıdan çekici ve yaratıcı yemeklerhazırlama imkânı sunan bu teknoloji, malzeme kullanımını optimize ederek gıdaisrafını minimize etmekte ve sürdürülebilir üretim süreçlerine katkıdabulunmaktadır. Katmanlı üretim yöntemi sayesinde karmaşık ve özgün tasarımlarınelde edilmesi mümkün hale gelirken, bu durum gastronomi deneyiminidijitalleşmenin sağladığı yeniliklerle yeniden tanımlamaktadır. Modernrestoranlarda 3D yazıcıların kullanımı, müşteriye özgün tasarımlar ve estetikaçıdan yenilikçi yemek sunumları gerçekleştirme potansiyelini artırmaktadır.Geleneksel mutfak uygulamalarının ötesine geçen bu teknolojik entegrasyon,sürdürülebilir beslenme ve inovatif gastronomi yaklaşımlarını destekleyenstratejik bir araç olarak ön plana çıkmaktadır. Ayrıca, üretim süresini ve maliyetleriniazaltarak ekonomik sürdürülebilirlik açısından da avantaj sağlamaktadır. Buçalışmada, 3D yazıcılar ve ileri dijital teknolojilerin gastronomi alanındakişiselleştirilmiş yemek tasarımlarını mümkün kılması ve tüketici deneyiminizenginleştirmenin yanı sıra, sürdürülebilirlik odaklı üretim süreçleriylesektörde küresel rekabet gücünü artıran yenilikçi bir dönüşüm sunacağınıgösteren alanyazın çalışmalarına yerverilmiştir. Sonuç olarak, 3D yazıcılar ve ileri dijital teknolojiler,gastronomi alanında sunduğu yenilikçi yaklaşımlarla hem bireysel tüketimalışkanlıklarında dönüşüm yaratmakta hem de işletmelerin sürdürülebilir üretimuygulamalarına yönelmelerine olanak sağlayacaktır. Bu teknolojinin kullanımıestetik ve işlevsellik açısından kişiselleştirilmiş yemek tasarımlarını mümkünkılarak tüketici memnuniyetini arttırmada ve malzeme israfını en aza indiripçevresel sürdürülebilirliği desteklemede kapsamlı bir çözüm sunmakta, aynızamanda gastronomik deneyimi çağdaş dijitalleşme çerçevesinde yenidentanımlayarak sektörde küresel rekabet gücünü artırmaya yönelik uzun vadelistratejik bir araç olarak önem kazanmaktadır.In the food and manufacturing sectors, 3D printers and advanced digitaltechnologies represent an important transformation with innovative designapplications. These technologies stand out as a modern production paradigm interms of minimizing material waste, increasing economic efficiency, andsupporting environmental sustainability through personalized product design andproduction. At the same time, it acts as a catalyst that accelerates industrialtransformation by increasing global competitiveness. The integration of 3Dprinters in the food industry and gastronomy offers revolutionary innovationsin food design, presentation, and production processes. Enabling chefs toprepare personalized, aesthetically appealing, and creative dishes, thistechnology minimizes food waste by optimizing the use of materials andcontributes to sustainable production processes. Thanks to the additivemanufacturing method, it is possible to achieve complex and unique designs,redefining the gastronomy experience with the innovations enabled bydigitalization. The use of 3D printers in modern restaurants increases thepotential for unique designs and aesthetically innovative food presentations tothe customer. This technological integration, which goes beyond traditional culinarypractices, stands out as a strategic tool that supports sustainable nutritionand innovative gastronomy approaches. It also provides advantages in terms ofeconomic sustainability by reducing production time and costs. In this study,literature studies indicate that 3D printers and advanced digital technologieswill enable personalized food designs in the field of gastronomy and enrich theconsumer experience, as well as offer an innovative transformation thatincreases global competitiveness in the sector with sustainability-orientedproduction processes. In conclusion, 3D printers and advanced digitaltechnologies, with the innovative approaches they offer in the field ofgastronomy, will both transform individual consumption habits and enablebusinesses to move towards sustainable production practices. This technologyprovides a complete way to boost customer satisfaction by allowing customizedmeal designs that look good and work well, reducing waste, and helping theenvironment, while also becoming an important long-term strategy to improveglobal competitiveness in the industry by changing the dining experiencethrough modern digital advancements.</p
Gıda Bilimleri ve Mühendisliği Alanında Uluslararası Araştırmalar-II / International Research in the Field of Food Science and Engineering-II
No full textTheoretical Investigation of Al and Ga Doped B12N12 Nanocage for Detecting and Capturing Lung Cancer-Related Volatile Organic Compounds
No full textAcetone and Acrolein, lung cancer-related volatile organic compounds (VOCs), adsorbtion on Pristine and Al/Ga doped B12N12 nanocage were employed using Density Functional Theory (DFT). The calculated interaction energies between pristine B12N12 and the molecules indicate strong interactions, suggesting that this material can effectively capture Acetone and Acrolein molecules. Furthermore, notable changes in the electronic band gaps are observed, suggesting potential applications in molecular detection using electronic devices. The study then focused on investigating the effects of doping B12N12 with aluminum (Al) and gallium (Ga) atoms to explore the impact of doping on the nanocage's interactions with molecules and its electronic properties. Calculations revealed that doped B12N12 exhibits significantly enhanced interactions with molecules, accompanied by unique changes in its electronic structure. These results, further supported by the results of the dipole moment analysis, highlight the potential for developing materials that exhibit high efficiency in VOCs detection and capture
Effect of Partial Austenitization Treatment on Microstructure and Mechanical Properties for Multiphase Steels
No full textIn this study, the microstructural evolution and mechanical properties of a 0.15 pct C-2.09 pct Mn multiphase steel was investigated. To produce a multiphase microstructure, a newly developed two-step processing of partial austenitization and quenching (PAQ) treatment was used. In the first step, the steel with initial martensitic microstructure was partially austenitized at 690 °C for 8 hours. After cold rolling, a rapid reheating to 840 °C and quenching done to simulate hot dip galvanizing conditions. To better understand the PAQ process, thermodynamic and kinetic simulations using ThermoCalc and DICTRA predicted phase transformations and elemental partitioning. Microstructural characterization via LM, SEM, and EBSD revealed an ultrafine-grained multiphase structure consisting of bainite, M/A, and intercritical ferrite. The PAQ840 sample showed an ultimate tensile strength of 740 MPa and excellent ductility with 20 pct total elongation
Taguchi-ANN Hybrid Approach for Evaluating Unsupported Overhang Structures in FDM-Printed Polymers
No full textFused deposition modeling (FDM) faces significant challenges in producing unsupported overhangs, particularly regarding dimensional accuracy and surface quality. While support structures can address these issues, they increase material waste and post-processing requirements. This study investigates how process parameters affect the quality of unsupported inclined surfaces in FDM printing, aiming to optimize fabrication without support structures. Test specimens with three surface inclination angles—75° (Surface-1), 60° (Surface-2), and 45° (Surface-3)—were produced using acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), and polyethylene terephthalate glycol (PETG). The study employed an L27 Taguchi orthogonal array to evaluate five key process parameters: material type (MT), infill pattern (IP), wall thickness (WT), infill density (ID), and layer thickness (LT). Dimensional deviations and surface roughness were measured across all angled regions. Dimensional deviations remained below 2.3% across all specimens. ANOVA revealed LT and MT as the most significant factors affecting both dimensional accuracy and surface roughness (p 500). Surface roughness improved with decreasing surface angles, while dimensional accuracy showed an inverse trend. Artificial neural network (ANN) models developed for predicting quality metrics achieved R2 values exceeding 0.90. This study establishes a comprehensive framework integrating Taguchi design, statistical analysis, and machine learning (ML) for optimizing unsupported overhang fabrication in FDM. The findings reveal crucial relationships between process parameters and part quality, demonstrating that carefully controlled parameter selection can achieve acceptable quality without support structures. The developed predictive models offer a reliable tool for parameter optimization in FDM manufacturing of unsupported overhangs