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Kocaeli Üniversitesi Hastanesi Kardiyoloji Polikliniği'ne Başvuran ICD10:I-10 Kodu (Esansiyel Hipertansiyon) Olan İle Olmayan Hastaların LDL Kolesterol Düzeyleri Karşılaştırılması
No full textAssessing managerial challenges to industry 4.0 adoption in the lighting industry using pythagorean fuzzy SWARA
No full textThe Fourth Industrial Revolution presents transformative opportunities alongside substantial implementation challenges. Understanding these challenges on a sector-specific basis is crucial for successful Industry 4.0 adoption. This study assesses the managerial challenges faced by companies in the lighting industry during their transition to Industry 4.0. Through a literature review and expert consultations, 16 challenges were identified across five categories. To systematically prioritize these challenges, the Step-wise Weight Assessment Ratio Analysis (SWARA) method was extended with Pythagorean fuzzy numbers, enabling a more precise evaluation of expert opinions. Based on input from 10 industry experts, the findings highlight that the most critical challenge is the “lack of skilled workers for implementation of Industry 4.0” followed by the “lack of employees with a clear vision of Industry 4.0 practices”, and the “lack of awareness about Industry 4.0 technologies. Among the challenge categories, human resources challenges emerged as the most significant, followed by technological challenges. These findings underscore the pivotal role of workforce preparedness in Industry 4.0 adoption and the necessity of targeted managerial interventions, such as workforce training, strategic vision alignment, and technology awareness programs. The results also provide practical insights for policymakers and industry leaders, emphasizing the need for sector-specific strategies to facilitate a smoother digital transformation. By employing the Pythagorean Fuzzy SWARA method, this study enhances decision-making precision and provides a practical framework for prioritizing Industry 4.0 challenges. As one of the first studies focusing on the lighting sector, this research fills a critical gap in the literature and serves as a foundation for future sector-specific Industry 4.0 studies
A dual-mode subphthalocyanine-functionalized calix[4]arene based turn-off-on fluorescent sensor for selective detection of tebuconazole pesticide in food and water samples
No full textIn this study, a novel subphthalocyanine-substituted calix[4]arene (Calix-Sub) fluorophore was designed and synthesized. Its structure was characterized by FT-IR, MALDI-TOF, 1H-NMR, and elemental analyses. Calixarenes are promising sensors due to their rigid structures, complexation abilities, and selectivity, while subphthalocyanine provides strong fluorescence behaviour. The Calix-Sub sensor exhibited a "turn-off" fluorescence response toward Cu(ii) ions and a "turn-on" response upon addition of tebuconazole pesticide, demonstrating its potential as an optical sensor. The system enabled quantification of tebuconazole in a linear range of 0.33-2.05 mmol L-1 with a detection limit of 0.53 mmol L-1. The sensor showed high selectivity and a clear fluorescence response toward tebuconazole over other metal ions and pesticides. Analytical parameters, including selectivity, precision, sensitivity, and recovery were optimized for environmental sample analysis
Explainable depth-wise and channel-wise fusion models for multi-class skin lesion classification
No full textThe clinical adoption of deep learning in dermatology requires models that are not only highly accurate but also transparent and trustworthy. To address this dual challenge, this study presents a systematic investigation into deep feature fusion, exploring how to effectively combine complementary representations from diverse neural network architectures. We design and rigorously evaluate six distinct fusion models, first investigating depth-wise and channel-wise strategies for integrating features from powerful Convolutional Neural Network (CNN) backbones, and subsequently incorporating the global contextual awareness of Vision Transformers (ViTs). Evaluated on the challenging 7-class HAM10000 dataset, our optimized architecture achieves a weighted average Precision, Recall, and F1 score of 90%, demonstrating superior diagnostic performance. Crucially, our comprehensive explainable AI (XAI) analysis using Grad-CAM and SHAP reveals that the fusion strategy directly dictates the model’s clinical interpretability; our most effective models learn to base their predictions on salient dermatological features, such as border irregularity and color variegation, in a manner that aligns with expert reasoning. This work provides a robust framework and valuable architectural insights for developing the next generation of high-performing, clinically reliable, and transparent AI-powered diagnostic tools
Biomedical potential of novel copper(II) complexes: From synthesis and characterization to biointeraction profiles and molecular docking approaches
No full textIn recent years, there has been a growing interest in the synthesis of novel compounds with medicinal potential, particularly those exhibiting antioxidant properties, due to their ability to delay, prevent, or eliminate oxidative damage in target cells. In this study, synthesis and comprehensive characterization of three novel copper(II) complexes, [Cu(L1)(phen)] (1), [Cu(L1)(py-phen)] (2) and [Cu(L2)(py-phen)] (3),—featuring Schiff base ligands derived from 5-chlorosalicylaldehyde and valine (L1) / glycine (L2), phen: 1,10-phenanthroline, py-phen: pyrazino[2,3-f][1,10]phenanthroline—were carried out using electronic absorption spectroscopy, CHN analysis, FTIR, ESI-MS, and X-ray diffraction. Electronic absorption and fluorescence spectroscopy were employed to investigate the interactions between the complexes 1-3 and CT-DNA, trypsin, and urease. The complexes 1-3 were found to bind CT-DNA through minor groove interaction, while their fluorescence quenching with trypsin and urease proceeded via a static mechanism. To better understand the molecular basis of these biological effects, molecular docking simulations were employed to evaluate the binding affinities and interaction profiles of the complexes 1-3 against three biologically relevant macromolecular targets: B-DNA, trypsin, and urease. The docking results revealed high binding affinities, particularly toward DNA, and moderate interactions with trypsin and urease. These findings highlight the role of non-classical interactions such as π–anion, π–sulphur, π–π stacking, and carbon–hydrogen bonds in stabilizing the complexes 1-3 within biologically relevant binding sites. Importantly, the complexes 1-3 preferentially engaged in minor groove binding to DNA and occupied catalytic clefts in the enzymes without directly interfering with key active residues. The docking results provide a molecular basis for the observed or anticipated biological activities and support the potential of the complexes 1-3 as candidates for further pharmacological evaluation. In vitro assessment of the complexes’ antioxidant activity revealed a moderate scavenging efficiency. The findings of this study deepen the understanding of the complexes 1–3’s interactions with enzymes and emphasize their value in biomedical and pharmaceutical research.</p
Turkiye Klinikleri Child Psychiatry-Special Topics-Aggression and Irritability in Children and Adolescents
No full textAlpha Lipoic Acid Promotes the Proliferation, Motility, and Antioxidant Defense System of Human Adipose-Derived Stromal/Stem Cells
No full textAdipose-derived stromal/stem cells (ASCs) are a readily accessible mesenchymal stem cell population with high regenerative and immunomodulatory potential. Despite their regenerative potential, ASCs experience replicative senescence during in vitro expansion, resulting in oxidative damage and impaired cellular function. Alpha-lipoic acid (ALA) is a potent antioxidant with reported anti-aging and cytoprotective effects in various cell types. This study aimed to investigate the effects of ALA on proliferation, migration, invasion capacity, and oxidative stress response of primary human ASCs in vitro. Human ASCs were isolated from adipose tissue samples and characterized via flow cytometry and multilineage differentiation. The safe and effective concentration of ALA was determined using WST-1 cell viability assays. Functional evaluations included wound healing and invasion assays. Gene expression of stemness, proliferation, cell cycle, migration, and apoptosis markers was analyzed by qRT-PCR, while MMP2 and MMP9 protein expression was assessed by immunofluorescence. Cellular oxidative stress levels were measured using DCF-DA flow cytometry, and cytotoxicity was evaluated with the LDH release assay. ALA supplementation significantly enhanced ASC proliferation (p < 0.01), migration (p < 0.001), and invasion (p < 0.01). Upregulation of MMP2 (p < 0.001) and MMP9 (p < 0.001) proteins was confirmed by immunofluorescence. ROS levels (p < 0.001) and LDH release (p < 0.001) were markedly reduced in ALA-treated cells under oxidative challenge. The ALA group also maintained higher expression of key proliferation and stemness-associated genes. ALA improves the in vitro expansion and functional properties of ASCs by enhancing proliferative and migratory capacities and mitigating oxidative stress-induced damage. These findings suggest that ALA may serve as a beneficial supplement in ASC-based regenerative applications and long-term culture systems
Facile synthesis of bimetallic metal-organic frameworks for enhanced supercapacitor performance
No full textBimetallic metal-organic frameworks (BMOFs) represent an advanced class of electrode materials for supercapacitors due to their tunable electronic properties and high surface area. This study synthesizes Fe-based BMOFs, including Fe/Ni, Fe/Co, Fe/Mn, and Fe/Cu, using the solvothermal method and conducts comprehensive characterization. Structural analysis confirms the incorporation of secondary metal ions into the framework, while Fourier Transform Infrared Spectroscopy (FT-IR) verifies ligand-metal interactions. SEM (Scanning Electron Microscope) reveals distinct morphologies, with FeNi, FeMn, and FeCo exhibiting deltoid shapes, whereas FeCu presents a rod-like structure. Surface area measurements indicate that FeMn BMOF achieves the highest value of 434.17 m2/g, contributing to its superior electrochemical performance. Electrochemical measurements demonstrate that FeMn BMOF exhibits a high specific capacitance of 186.5 F/g, attributed to its large surface area and efficient ion diffusion. Impedance analysis reveals its low charge transfer resistance, confirming high conductivity. Stability tests indicate that FeMn BMOF maintains excellent coulombic efficiency over 1000 cycles. These findings highlight the potential of FeMn BMOF as a promising electrode material for next-generation supercapacitor technologies
A proposal of indoor air pollutant limit values for Turkish schools based on a literature review of emission sources, concentrations, health effects, and limits/guidelines
No full textLimit Values Working Group (LVWG) was established under Indoor Air Quality Committee of Turkish Climatization Assembly of the Union of Chambers and Commodity Exchanges of Türkiye. LVWG was tasked with reviewing the pertinent literature on indoor emission sources, concentrations in schools, health effects, and existing limit and guideline values to identify the indoor air pollutants that need to be addressed and to be recommended a limit value for Turkish schools. LVWG members took responsibilities based on their individual expertise. The recommendations were concluded in consensus decision-making after in-group discussions. A total of 19 pollutants/pollutant groups (carbon dioxide, carbon monoxide, nitrogen dioxide, ozone, radon, volatile organic compounds, formaldehyde, trihalomethanes, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, brominated flame retardants, organophosphate esters, phthalate esters, particulate matter, bioaerosols (bacteria, fungi, viruses), microbial pollutants and allergens) were reviewed. Limit values were recommended for 11 pollutants/groups based on the current knowledge, i.e. pollutant health effects and indoor air concentrations taking into account the exposure duration, the prevalence of existing limit/guideline values and the health effects on which they are based