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GWAS analysis of sudden cardiac death cases in a Turkish population
(İstanbul University Press, 2025) Özel Cavlak, Gülay; Cavlak, Mehmet; Kınoğlu, Kubilay; Ceviz, Ayşe Begüm; Eronat, Allison Pınar; Kobak, Işıl; Şam, Bülent; Yıldız, Mustafa; Bayraktar, Bülent; Yılmaz Aydoğan, Hülya; Öztürk, Oğuz
Objective: Sudden death is defined as death occurring within one hour of the onset of symptoms, with cardiovascular diseases being one of the leading causes. The most common genetic factors leading to sudden cardiac death are hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomy6 opathy. In some cases, autopsies may reveal no evidence of long QT syndrome, short QT syndrome, catecholaminergic polymorphic ventricular tachycardia, or Brugada Syndrome. Materials and Methods: We collected samples from sudden cardiac death cases aged 5–40 years (arrhythmia as Group 1, hypertrophy as Group 2, and ischemic heart disease as Group 3), as well as from healthy athletes (control group as Group 4), and analyzed them using genome6wide association study (GWAS) with a DNA microchip containing 196,725 single nucleotide polymorphism (SNP) markers thought to be associated with sudden cardiac death or other cardiovascular diseases. Results: We detected any possible genetic variations or patterns that could elucidate the mechanisms underlying sudden cardiac death in a Turkish population. In our study group, two polymorphisms; rs2971851 and rs9609516, stood out as prominent variants compared with healthy elite athletes. Conclusion: We aimed to identify potential genetic variations or patterns that could shed light on the mechanisms underlying sudden cardiac death in the Turkish population. In our study group, two poly6 morphisms, rs2971851 and rs9609516, emerged as prominent variants when compared to healthy athletes.
Protective effects of boric acid on HBV-transgenic mice with chronic alcohol consumption: An experimental study
(Elsevier, 2025) Ergüven, Pelin; Tanrıkulu Küçük, Sevda; Şevgin, Kübra; Değirmencioğlu, Sevgin; Çetinalp, Pınar; Aksu, Soner; Gün Atak, Palmet; Söğüt, İbrahim
This study aimed to investigate the protective effect of boric acid supplementation against liver damage in chronic alcohol-dependent HBV transgenic mice. The HBV transgenic mice were divided into four groups: control (C), boric acid(B), alcohol(A), and alcohol + boric acid(A + B). Blood alcohol concentration (BAC), alanine aminotransferase (ALT), aspartate aminotransferase(AST), reactive oxygen species(ROS), malondialdehyde (MDA), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), total antioxidant capacity (TAS), total oxidant capacity (TOS) levels, and oxidative stress index (OSI) were examined biochemically. H&E, PAS, Masson trichrome, and TUNEL staining were performed. Caspase 3, cytochrome c, and APAF-1 expression levels were determined by qRT-PCR. The alcohol group exhibited significantly higher levels of ROS, MDA, TOS, OSI, and mRNA expressions of Cytochrome c, caspase 3, and APAF-1, while TAS level and CAT activity were significantly lower compared to the boric acid group. Compared to the control group, the alcohol group exhibited significantly increased TOS, OSI, AST levels, APAF-1 mRNA expression, and the number of TUNEL-positive cells, along with a reduction in GPx activity (p < 0.05). However, in the alcohol + boric acid group, TOS and AST levels were significantly higher compared to the control group (p < 0.05), and TOS was higher compared to the boric acid group (p < 0.01). Among the boron-treated groups, only the TOS level was lower in the boric acid group compared to the alcohol + boric acid group (p < 0.01). Histopathological examination revealed reduced sinusoidal dilatation and connective tissue distribution in the boric acid-supplemented groups. These findings suggest that boric acid supplementation may mitigate oxidative damage and histopathological alterations associated with chronic alcohol consumption in HBV-transgenic mice.
The role of hexagonal boron nitride (h-BN) in enhancing electrolytes for safer and efficient lithium-based batteries
(Elsevier, 2025) Yaman Uzunoğlu, Gülşah; Coşkun, Şahin; Yüksel, Recep
Hexagonal boron nitride (h-BN), with its unique structural and thermal properties, has emerged as a versatile material capable of addressing challenges such as thermal instability, dendrite formation, and limited ionic conductivity across liquid, gel polymer, and solid-state electrolytes (SSEs) for high-performing lithium ion and lithium metal batteries (LMBs). In liquid electrolytes, h-BN improves ionic mobility and suppresses side reactions, while in gel polymer electrolytes (GPEs), it enhances mechanical flexibility and thermal stability. SSEs benefit from h-BN's ability to suppress dendrites, reinforce mechanical strength, and optimize interfacial compatibility, making it a key enabler for next-generation battery technologies. Despite its promise, challenges such as dispersion uniformity, cost, and interfacial complexity must be addressed. Future directions, including the development of multifunctional architectures, dynamic electrolytes, and sustainable synthesis methods, are discussed to guide the integration of h-BN in emerging energy storage systems. This perspective article explores the multifunctional roles of h-BN, highlighting its contributions to enhancing ionic transport, thermal management, and interfacial stability. By presenting a comprehensive overview of h-BN's role in electrolytes, this work aims to inspire further research into its potential to revolutionize energy storage technologies.
Design and synthesis of thiosemicarbazides and 1,2,4-triazoles derived from ibuprofen as potential MetAP (type II) inhibitors
(Elsevier, 2025) Yılmaz, Özgür; Biliz, Yağmur; Ayan, Sümeyra; Çevik, Özge; Karahasanoğlu, Müfide; Çotuker, Reyhan; Mert Şahin, Naz Mina; Gökkaya, Kübra; Gülyüz, Sevgi; Yelekçi, Kemal; Küçükgüzel, Ş. Güniz
In the present study, a range of novel thiosemicarbazides 4a-i and 1,2,4-triazoles 5a-i derived from ibuprofen, were synthesized. Structural elucidation of these synthesized compounds was performed utilizing a variety of spectroscopic methods, including FTIR, 1 H NMR, 13C NMR and HR-MS. The synthesized compounds were tested for cytotoxicity in five different cancer cell lines (cervical cancer (HeLa), human breast cancer (MCF-7), human gastric adenocarcinoma (MKN-45), human metastatic prostate cancer (PC3) and human glioblastoma (U87)). The compounds were compared with healthy cells (NIH-3T3) and the most effective compounds were determined by means of the selectivity index. Thiosemicarbazides derived form ibuprofen 4i and 4d showed anticancer activity, while 1,2,4-triazoles derived form ibuprofen 5b, 5c, 5d, 5e, 5h, 5g showed anticancer activity in HeLa, MCF-7, MKN-45, PC3 and U87 cells. To test the stability of the protein-drug complexes all 18 compounds 4a-i and 5a-i were docked into the active site of the MetAP2 enzyme In general, computational inhibition constants values were correlated with the experimental values. The dynamic behavior of MetAP2-inhibitor complexes was analyzed using all atoms Molecular Dynamic (MD) simulations for 200 ns duration. MD revealed that the drugs bind in the active center of MetAP2 with stable RMSD and RMSF. In conclusion, in-silico results and in-vitro studies suggests that thiosemicarbazides and 1,2,4-triazoles derived from ibuprofen may be novel anticancer drug candidates for treating cervical, breast, prostate, gastric and glioblastoma. Compounds provided induction of apoptotic proteins in the cell by inhibiting MetAP2 enzyme. Furthermore, the potential antioxidant activities of the compounds were evaluated using the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity assay. Among the compounds tested, 4a, 4b, 4e, 4f, 4h, and 4i exhibited values closely resembling the DPPH activity of the standards.
Dual etiology vs. MetALD: how MAFLD and MASLD address liver diseases coexistence
(OAE Publishing, 2025) Zerehpooshnesfchi, Shadi; Lonardo, Amedeo; Fan, Jian-Gao; Elwakil, Reda; Tanwandee, Tawesak; Altarrah, Munira; Örmeci, Necati; Eslam, Mohammed
Fatty liver disease associated with metabolic dysfunction has emerged as a significant global health challenge. This condition often coexists with other liver diseases, such as alcohol-related liver disease and viral hepatitis, complicating both diagnosis and management. To address the limitations of the non-alcoholic fatty liver disease (NAFLD) classification, two alternative frameworks have been proposed: metabolic dysfunction-associated fatty liver disease (MAFLD) in 2020 and metabolic dysfunction-associated steatotic liver disease (MASLD) in 2023. A key difference between these definitions is how they consider fatty liver disease in relation to the coexistence of other liver conditions. MAFLD adopts a dual etiology concept, creating a unified classification system that aligns with contemporary clinical and epidemiological needs. In contrast, MASLD introduces a new term, MetALD (metabolic and alcohol-related/associated liver disease), to describe patients who have both metabolic dysfunction and excessive alcohol intake. This review critically examines the clinical, research, and epidemiological implications of the differing approaches of MAFLD and MASLD, offering insights into their potential to enhance the understanding and management of multi-etiology liver diseases.
A comprehensive morphological and morphometric study of the spinoglenoid notch and ligament/ membrane: Possible clinical relevance of suprascapular nerve entrapment
(Istanbul University Faculty of Medicine, 2025) Coşkun, Osman; Gürses, İlke Ali; Gayretli, Özcan; Kale, Ayşin; Kına, Adnan; Usta, Ahmet; Şahinoğlu, Kayıhan; Öztürk, Adnan
Objective: This study aimed to determine the anatomical fea tures and clinical significance of the spinoglenoid notch and spinoglenoid ligament-membrane as well as the branches of the suprascapular nerve to the infraspinatus muscle as these struc tures may cause compression of this nerve. Material and Methods: Fifty sides (25 right and 25 left) were studied on 26 fixed cadavers belonging to the Department of Anatomy, İstanbul University, İstanbul Faculty of Medicine. The suprascapular nerve branches to the infraspinatus muscle and spinoglenoid ligament-membrane were examined in cadavers, and the spinoglenoid notch was investigated in 50 dry scapulae. Result: The suprascapular nerve had two branches to the in fraspinatus muscle in 22 cadavers on 37 sides (74%) and three branches to this muscle in 11 cadavers on 13 sides (26%). On 31 sides the spinoglenoid membrane and on 19 sides the spinoglenoid ligament were observed. Related to the spinoglenoid notch, the mean width was 17.17±2.17 mm, and the mean depth was 17.45±2.03 mm in calliper measurements on dry bones, while the mean width was 16.99±1.88 mm, the mean depth was 17.73±2 mm and the mean area was 282.04±55.27 mm² in com puted tomography measurements. Conclusion: The presented data regarding the spinoglenoid notch in which the suprascapular nerve is frequently compressed and the branches of the suprascapular nerve to the infraspinatus muscle may guide the surgical treatment of the related entrap ment syndrome.
Enhanced nearest centroid model tree classifier
(Springer Nature Link, 2025) Özçelik, Mehmet Hamdi; Duman, Ekrem; Bağrıyanık, Selami; Bulkan, Serol
In this study, frst, we improved an existing variant of the Nearest Centroid algorithm. In this new version, the predic tive power of features and within-class variances are used as weights in distance calculation. This version is called the Enhanced Nearest Centroid (ENC). Second, we proposed a new model tree algorithm for binary classifcation. It is named as the Enhanced Nearest Centroid Model Tree (ENCMT). The model tree is built using ENC at each leaf node of the decision tree. To evaluate the performance of the new model tree, we used an independent test platform and ran the algorithm on 30 binary datasets available therein. Results showed that ENCMT improves the performance of the decision tree algorithm. We also compared ENCMT with the Logistic Model Tree (LMT) algorithm and showed that it outperforms LMT as well. We also designed a bagging algorithm where ENCMT is used to build a random forest. Our comparison results show that its performance is signifcantly better than the Random Forest (RF) algorithm.
Early stage effectiveness of the automated insulin delivery system—is artificial intelligence really effective?
(AVES, 2025) Çetin, Ferhat; Göncüoğlu, Enver Şükrü; Abalı, Saygın; Arslanoğlu, İlknur; Deyneli, Oğuzhan; Telci Çaklılı, Özge; Yalın Turna, Hülya; Şahiner, Elif; Güzel, Dila; Yılmaz, Mehmet Temel
Objective: This study aimed to evaluate the effectiveness of the self-learning capabilities of artificial intelligence (AI) algorithms. The hypothesis was that if the success of closed-loop insulin delivery is mainly attributed to AI algorithms, then the improvement in glycemic control would be more signifi cant just after the “learning” phase. Methods: The Medtrum A8 TouchCare® Nano system was used on 15 patients with type 1 diabetes. Daily continuous glucose monitoring (CGM) data pre-automated insulin delivery (AID) was statisti cally compared with the post-AID period. Results: Patients (median age 32 (6-54) years, 40% female) had a median HbA1c of 8.4% (5.3-10.7) before initiation of AID and a median GMI of 6.6% (5.8-8.3) after 2 weeks. The shifts in glycemia and glycemic variability between the 5-day period pre-AID vs. the first day and the 3 5-day periods post-AID were significant (pre-AID vs. 1-5-10-15 days; time in range (TIR, %): 55.9 vs. 76.6-81.7-83.8- 81.5 (P=.001); Q1 (mg/dL): 123 vs. 112-108-106-110 (P=.009); Q3 (mg/dL): 204 vs. 176-173-168-169 (P=.004); inter-quarter range (IQR, mg/dL): 78 vs. 57.2-56.6-53-55 (P=.002)). The biggest shift in TIR was achieved in the first day (10.1%). Comparative analysis of the 5-day intervals post-AID was insig nificant by means of the improvement in glycemia (P > .05). No significant change in glycemic param eters between 15, 30, and 90 days were noted (P > .05). Conclusion: Artificial intelligence-augmented AID becomes effective at the very early stages of initia tion. There is a need for further research into glycemic changes in the early days of AID initiation to better define the principles of initiating AID systems.
Cytotoxic and anti-migratory effects of polyphenolic compounds on breast cancer cells by altering Jam-A, LFA-1, and VLA-4 gene expression
(Taylor & Francis, 2025) Özkara, Gülçin; Ceviz, Ayşe Begüm; Eronat, Allison Pinar; Pehlevan Karabıyık, Funda; Candan, Gonca; Özturk, Oğuz; Yılmaz Aydoğan, Hülya
This study represents the initial research of the effects of a com bination of the largest number (13) of different polyphenic sub stances (PFK5120), formulated based on the propolis content on cell viability, migration and expression of lymphocyte function-associated antigen-1 (LFA-1), very late antigen-4 (VLA-4) and junction adhesion molecule A (Jam-A) in breast cancer (BC) cells. PFK5120 negatively affected cell viability at a 5% concentra tion as compared with unexposed ones (p<0.001). Treatment with 20% PFK5120 for 48h down-regulated Jam-A in MCF-7 and MCF-10A, up-regulated LFA-1 in MCF-10A and MDA-MB-231, and down-regulated VLA-4 in MCF-10A and MDA-MB-231 (p<0.001). Furthermore, migration was found to be inhibited by PFK5120 at varying doses and times. Migration was completely inhibited by 35% PFK5120 treatment in MDA-MB-231, while even lower concen trations (10%) were effective in MCF-7. Current findings indicate that PFK5120 represents a valuable natural component of BC ther apy through its cytotoxic and anti-migratory effects.
The validity and reliability of the Turkish version of the patient’s knee implant performance (PKIP) questionnaire-preoperative and postoperative
(Wolters Kluwer Healt, 2025) Şahan, Nilay; Atasavun Uysal, Songül; Parmaksız, Ayhan; Aydın, Erbil
The Patient’s Knee Implant Performance (PKIP) Questionnaire is a short and easy-to-complete questionnaire developed to assess the performance of total knee arthroplasty (TKA) more comprehensively. The aim of this study was to investigate the validity and reliability of the Turkish version of the PIKP questionnaire before (PKIP PreOp) and after (PKIP PostOp) TKA. The study included 162 patients referred for TKA and 154 patients who had undergone the surgery at least 3 months prior. Cronbach alpha, intra class correlation coefficient, and item-total correlation values were calculated to assess the reliability of the PIKP questionnaire. Validity was determined using exploratory and confirmatory factor analysis. To determine parallel scale validity, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), The Short Form-36 (SF-36) Quality of Life Scale performance score were used. The mean age of the participants was 66.39 ± 7.65 years. Cronbach alpha and intra-class correlation coefficient values of the PKIP were acceptable (0.723 and 0.985, respectively). The item-total correlation values of each item of the PKIP was also acceptable (lowest ranged from 0.335 to 0.621). Confirmatory and exploratory factor analysis revealed that the both PKIP PreOp and PKIP PostOp studies had sufficient fit. The PKIP PreOp and PKIP PostOp was moderately to strongly correlated with the Western Ontario and McMaster Universities Osteoarthritis Index and Short Form-36 score (P < .001). Patients undergoing TKA had a significantly higher PKIP PostOp score than PKIP PreOp score. The Turkish version of the PKIP is valid, reliable, and sensitive to assess in performance in patients undergoing TKA.
The lenalidomide derivative loaded and quercetin modified MIL-100 based novel drug delivery system for breast cancer treatment
(Editions de Sante, 2025) Özsoy, Münteha; Pirinçci Tok, Yağmur; Güney Eskiler, Gamze; Tok, Fatih; Karakuş, Sevgi; Özsoy, Yıldız; Özaçar, Mahmut
Lenalidomide (L0) is an immunomodulatory agent with a range of effects, including anticancer and anti-inflammatory activity, and is commonly utilized in treating multiple myeloma. A derivative of lenalidomide (L1) has been synthesized to enhance its effects and to target different cancer cell types. In this study, the lenalidomide derivative L1, with the chemical structure 1-[2-(2,6-dioxopiperidin-3-yl)-1-oxoisoindolin-4-yl]-3-(p-tolyl)urea, was loaded onto a novel drug delivery system (DDS), and its activity was assessed towards triple-negative breast cancer cell lines (TNBC). MIL-100, a subclass of metal-organic framework (MOF) structures, was synthesized via a microwave-assisted hydrothermal method. MIL-100 was modified with quercetin (QC) as a linker, and its drug loading capacity was optimized, achieving a 95.18 % encapsulation efficiency. Additionally, the antioxidant properties of QC contributed to enhancing the performance of the DDS. In vitro drug release studies of the final product, MIL-100@QC@L1, were successfully conducted. The cytotoxic influences of the formulation on MDA-MB-231 cells were assessed using the WST-1 assay. After treatment with 10 μg/mL of MIL-100@QC@L1 for 24 h, the cell viability decreased significantly to 47.8 %, showing superior results compared to treatments with L0 and L1 alone.
Nanodelivery approaches of phytoactives for skin cancers: Current and future perspectives
(Bentham Science Publishers, 2025) Algın Yapar, Evren; Özdemir, Merve Nur; Durgun, Meltem Ezgi; Akbal Dağıstan, Özlem; Cavalu, Simona; Özsoy, Yıldız; Kartal, Murat
In recent years, there has been an increase in skin cancers due to external factors, especially environmental factors, and studies on treatment alternatives have gained importance. Nanomaterials are common, from sunscreen formulas to formulations designed to treat skin cancers at various stages. Using bioactives has multiple effects in treating skin cancers, which provides many advantages. In this regard, many phytochemicals gain importance with their antioxidant, anti-proliferative, anti-inflammatory, antiangiogenic, and analgesic effects. Their delivery with nanocarriers is on the agenda for phytochemicals to gain the targeted stability, effectiveness, and toxicity/safety properties. This review presents types of skin cancers, phytochemicals effective in skin cancers, and their nanocarrier-loaded studies from an up-to-date perspective.
Evaluation of demographic, clinical, laboratory findings and treatments of our cases with febrile convulsions: A descriptive research
(Turkiye Klinikleri Yayınevi, 2025) Özdil Yılmaz, İlkiz Özge; Karal, Yasemin
Objective: In this study, we aimed to determine the sociodemographic, clinical and laboratory characteristics, responses to treatment options, and risk factors for the development of epilepsy in cases who presented to our clinic with febrile convulsions (FC) and were diagnosed with FC. Material and Methods: 200 patients who applied to Trakya University Faculty of Medicine, Department of Pediatrics Outpatient Clinic and Child Neurology Polyclinic between January 2014-December 2018 and were diagnosed with febrile convulsion were evaluated retrospectively. In recurrent simple febrile convulsions and in all complicated febrile convulsions, electroencephalography (EEG) was performed. In case of abnormal EEG findings, appropriate treatment was started. Results: The male/female ratio was 1.22/1, 78% were term births. The average age at diagnosis was 21.82±12.69 months. 52.5% were complicated. The common source of fever was upper respiratory tract infection (83%). 10% had a family history of epilepsy and 25% had a history of febrile convulsions. The recurrence rate was 22.5%. Abnormal EEG was detected in 8% of the patients. Patients with recurrence had higher platelet counts and patients with epilepsy had higher C-reactive protein levels. Conclusion: Epilepsy was observed in %13 of febrile convulsions. The rate of epilepsy diagnosis was high in those with abnormal EEG (81%). As a result; monitoring of febrile convulsions is important due to the increased risk of epilepsy and frequent recurrence compared to the general population. Although we found no significant difference between treatment options in preventing recurrence, rectal diazepamand antipyretics may be preferred since it is easy to apply and has few side effects.
Influence of microstructure changes on the stress corrosion properties of u-bend S275 mild steel
(Springer Nature Link, 2025) Parapurath, Shahid; Jacob, Liya; Vahdati, Nader; Günister, Ebru
Current research investigates the material degradation behavior of thermally processed S275 mild steel under continuous stress in chloride and sulfate media at different pH values (4, 7, and 10). The mild steel samples were quenched at 1000 °C, followed by tempering at 600 °C, followed by U-bending the samples and attaching a bolt and nut to develop continuous stress according to ASTM standards. A U-bend sample without heat treatment was used as a reference. The corrosion behavior of the samples was evaluated using linear polarization resistance and potentiodynamic polarization scans. Optical microscopy, scanning electron microscope, roughness measurements, and Raman spectroscopy have been used to examine the wear behavior of S275 samples. Quenching followed by tempering caused the quasi-polygonal ferrite and granular bainite to convert to martensite. This microstructural change impacted on the material’s mechanical properties and corrosion behavior. Tempering caused a 38% increase in ultimate tensile strength and a 103% increase in yield strength. It also caused a 7–27% increase in corrosion resistance in sulfate media. The pH of the electrolyte solution also influenced corrosion. The corrosion rate of the original and tempered U-bend samples in acidic sulfate media showed approximately a 700% increase in corrosion rate compared to media alkaline and neutral sulfate media samples. The prime reason for the exponential increase in the corrosion rate is the effect of the chemical reaction of highly oxidative species on stress-induced surface defects. Raman analysis confirmed a variety of ferrous oxides and hydroxide formations on the surface of S275 steel.
Clinical characteristics and development of complications differ between adult-onset and child–adolescent-onset type 1 diabetes: A report from a tertiary medical center in Türkiye
(Wiley, 2025) Çakmak, Ramazan; Telci Çaklılı, Özge; Ok, Ayşe Merve; Mutlu, Ümmü; Sarıbeyliler, Göktuğ; Seferova Nasifova, Vefa; Bilgin, Ersel; Çoşkun, Aylin; Güzey, Damla Yenersu; Satman, İlhan
Background and Aims: The age-at-onset is of great importance in the heterogeneity of Type 1 diabetes mellitus (T1DM). This study was designed to define clinical and laboratory differences between child–adolescent-onset and adult-onset T1DM at presentation and during follow-up and determine the predicting factors for developing microvascular and macrovascular complications. Material and Methods: This retrospective observational study evaluated T1DM patients who were followed in the diabetes outpatient clinic between January 1, 2000, and December 31, 2019. Results: The study cohort included 490 individuals with T1DM (54.3% female, 58.8% adult-onset, and median follow-up: 5 years). In the adult-onset group, baseline C-peptide and GADA prevalence were higher, whereas presentation with ketoacidosis was 2.3-fold lower compared to the child–adolescent-onset group (p < 0.001). During follow-up, the adult-onset group had a 2.4-fold higher overweight/obesity (p < 0.001) and 1.7-fold higher dyslipidemia/hyperlipidemia (p = 0.002) than the child–adolescent-onset group. In multivariate analysis, fasting glucose (p = 0.024) in adult-onset, dyslipidemia/hyperlipidemia (p = 0.037) in child–adolescent-onset, and diabetes duration (p = 0.008 and p = 0.007) and hypertension (p = 0.001 and p = 0.01) in both groups were associated with increased risk of microvascular complications, whereas age-at-onset (p = 0.024), dyslipidemia/hyperlipidemia (p = 0.03), nephropathy (p = 0.003), and neuropathy (p = 0.001) in adult-onset and age (p = 0.002) and triglycerides (p = 0.013) in child–adolescent-onset groups were associated with increased risk of macrovascular complications. The cutoff C-peptide levels at baseline predicted microvascular complications in the whole cohort and adult-onset group were defined as 0.383 ng/mL (p < 0.001) and 0.41 ng/mL (p = 0.001), respectively. In the Kaplan–Meier analysis, C-peptide (< 0.383 ng/mL) but not age-at-onset predicted future development of microvascular and macrovascular complications (p = 0.003 and p = 0.032). Conclusion: Clinical presentation and prognosis differ in adult-onset and child–adolescent-onset T1DM. Low initial C-peptide may predict the development of microvascular and macrovascular complications.
Eco-friendly nano-additives: Energy, exergy, and environmental impacts in motor vehicle emission control
(Otomotiv Mühendisleri Derneği, 2025) Özer, Salih; Arslan, Ahmet; Doğan, Battal; Tunçer, Erdal; Arslan, Ömer
This study investigates the performance and emission behavior of borax decahydrate nanoparticles when blended with biodiesel and commercial diesel fuels in diesel engines. Experimental tests were conducted at five different engine power levels: 1 kW, 2 kW, 3 kW, 4 kW, and 5 kW-to evaluate the impacts of these fuel blends on engine performance, emissions, energy efficiency, exergy, and exergoenvironmental parameters. The data collected demonstrated a general trend where higher engine power output led to increased heat generation. Among the tested blends, the D40W50P1 fuel achieved efficiencies of 15.236%, 15.466%, 18.290%, 25.606%, and 24.258% at the respective power levels, highlighting the positive effect of borax nanoparticle addition on engine performance. The inclusion of borax nanoparticles particularly improved the performance of diesel/waste cooking oil blends. The results also revealed that the D50W50 fuel blend performed optimally at 2 kW, whereas the D40W50P3 blend showed a notable improvement, achieving an efficiency increase of 12.10%. Furthermore, sustainability index values were consistently above 1, indicating a favorable environmental and energetic balance for all tested fuel blends. The lowest recorded sustainability index was 1.123, observed for the D50W50 blend. In terms of exergoenvironmental analysis, the D40W50P2 fuel blend demonstrated carbon dioxide (CO2) emissions of 311.69 kg/month at 1 kW and 786.34 kg/month at 5 kW. These results highlight the potential of borax nanoparticle additives to not only improve fuel efficiency and engine performance but also contribute to reducing environmental emissions. The results indicate that boron additives can enhance engine performance and energy efficiency while reducing CO2 emissions. Additionally, the improvement in the sustainability index reveals the potential of boron-based fuels from both environmental and economic perspectives. These findings serve as an important reference for future research and industrial applications related to alternative fuel additives.
Photocatalytic performance of ag/humic acid magnetic nanoparticles for degradation of methylene blue in aqueous medium
(Springer Nature Link, 2025) Kaba, İbrahim; Özdemir Olgun, Fatoş Ayça
The contamination of water as a result of the discharge of organic dyes from industrial facilities that process pharmaceuticals, textile fabrics, leather, and petrochemicals, is a significant concern. The water quality of the aquatic environment is mostly impacted by pigments, even in small amounts less than 1 mgL−1 (Sharma et al. 2021). Methylene blue which is considered as mutagenic, toxic, and non-biodegradable, was selected as a model in this study to represent the azo dye class. The undesired effects of dye contamination can be eliminated through the sustainable and eco-friendly remediation procedure of photocatalytic degradation. The properties and efficiency of the catalytic reaction are significantly influenced by the morphology of the catalyst. Mott Schottky measurements and chronoamperometry were employed to elucidate the electronic properties of a composite silver humic acid magnetic nanoparticle (Ag/HA MNP) with a core-shell structure. The nanoparticle was subsequently employed in the photocatalytic degradation of methylene blue. The indirect band gap energy was calculated as 1.82 eV by employing Ultraviolet-Visible Diffuse Reflectance Spectroscopy (UV-DRS). The optimal parameters established in the study were used to maintain the effective photocatalytic degradation of methylene blue in an aqueous medium. Optimization studies for photocatalytic degradation of model dye-MB showed that the optimum degradation percentage (42%) was achieved rapidly in a short time period of 30 min with 0.06 g MNP in 10 mgL−1 solution. The first-order rate constant was determined to be 4.4 × 10−2 s −1 . This study contributes to the literature by proposing Ag/HA magnetic nanoparticles which were synthesized and installed for the first time as a catalyst for the photodegradation of methylene blue in aqueous medium.
DeepMatch: A BERT-powered talent matchmaking approach
(Springer Nature Link, 2025) Gözüaçık, Necip; Topaloğlu, Atakan; Evren, Ayse Mine; Karakuş, Serkan; Akram Bennour; Ahmed Bouridane; Somaya Almaadeed; Bassem Bouaziz; Eran Edirisinghe
Consultancy companies aim to match their employees to customer projects based on their employee’s talents. Traditional matchmaking methodologies are founded on manual processes that rely on rules of thumb or algorithms that are based on handcrafted heuristics, which cause the matchings to be not only sub-optimal, but also time-consuming, subjective, and prone to human errors. In this paper, we propose a novel consultancy matching algorithm that utilizes BERT to semantically find the most optimal consultant-project matchings for a given set of consultants and projects, pairing relevant project specifications with consultant specifications using the JVSAP algorithm. In doing so, our proposed talent matchmaking system may be utilized to improve the accuracy and efficiency of consultancy matching, thereby facilitating more effective consultancy engagements. Our findings suggest that the pairings demonstrate a discernible alignment with human intuition, as evidenced by the consistent correlation between consultants possessing domain-specific expertise and projects characterized by corresponding thematic descriptions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
The impact of unplanned pregnancy on prenatal attachment and subjective happiness
(Ataturk University Publications, 2025) Şahin, Ezgi; Yazıcı, Saadet; Yurtsev, Esra
Objective: Unplanned pregnancies are a major public health problem that causes undesirable socio‐ economic and psychological consequences for women, children and families in both developed and developing countries. This study was carried out to evaluate the impact of unplanned pregnancy on prenatal attachment and subjective happiness. Methods: This analytical cross‐sectional study was conducted with 342 pregnant women who attended the Obstetrics and Gynecology outpatient clinic of a university hospital between July 2022 and October 2022. Data was collected using the Demographic Information Form, London Unplanned Pregnancy Determination Scale, Prenatal Attachment Inventory, and Subjective Happiness Scale. The data was evaluated using descriptive statistics, as well as pearson correlation and regression analyses. Results: Age, number of pregnancies, pregnancy week, feelings experienced upon learning of the pregnancy, and previous pregnancy loss status all appear to have a statistically significant effect on the prenatal attachment and subjective happiness scale (p<.001). Regression analysis results show that prenatal attachment and subjective well being have a statistically significant effect on the London Unplanned Pregnancy Determination Scale (R2 =0.495). Conclusion: It has been found that unplanned pregnancies negatively affect early maternal behavior and individual happiness before birth. Therefore, it is considered important to provide counseling and psychosocial support to all pregnant women in order to bond with motherhood and ensure subjective happiness, along with prenatal education.
CFD simulation analysis of a diesel generator exhaust muffler and performance-based optimization
(MDPI Publishing, 2025) Tanrıver, Kürşat
This study addresses a gap in the literature by simultaneously optimizing noise reduction and structural integrity in silencer design. A novel silencer model offering advan tages over conventional designs was developed. In the first phase, the initial optimization model was developed to minimize noise levels while considering environmental con straints. CFD analyses using NEC Acostix and Ex-Tuner calculated noise, temperature, and pressure, followed by validation in SimScale. The results demonstrated improved efficiency in reducing pressure loss and noise. A silencer with Ø 800 mm diameter, 3000 mm length, and Ø 355.6 mm exhaust connection was manufactured and tested, achieving 96 dB(A) at 1 m, with front and side measurements of 85.1 dB(A) and 74.4 dB(A), respectively. In the second phase, fastener durability in silencer support plates was optimized using tensile tests and FEA in Ansys R19.2. Parametric analyses for M4-M20 bolts were conducted, and regression analysis in Minitab (Minitab Statistical Software Version 21.1) showed 97.74% accuracy. An objective function was developed using curve fitting. The second optimization problem, incorporating design constraints, was solved using the interior point and Lagrange multipliers methods. This study provides a foundation for silencer design, ensuring both structural reliability and noise control. Future research will explore performance eco-friendly solutions across varying generator power levels.

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