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Investigation of the physicochemical, cytotoxic, and antimicrobial properties of a resin-based pulp capping material incorporated with calcium fructoborate-loaded mesoporous silica nanoparticles
No full textObjectives: This study aims to evaluate the physicochemical, cytotoxic, and antimicrobial properties of a resin-based pulp capping material incorporating calcium fructoborate-loaded mesoporous silica (SBA-15). Methods: In the study, calcium fructoborate was loaded into mesoporous silica and then incorporated into the resin-based pulp capping material at concentrations of 3 % and 5 % by weight. The study groups were defined as follows: the group without calcium fructoborate-loaded SBA-15 (Control), the group containing 3 % calcium fructoborate-loaded SBA-15 (%3 CF@SBA-15), and the group containing 5 % calcium fructoborate-loaded SBA-15 (%5 CF@SBA-15). The resulting experimental capping materials were then tested for water absorption, solubility, monomer conversion, antibacterial activity, cytotoxicity, and stem cell differentiation. Results: The addition of CF@SBA-15 significantly reduced the material's water absorption (p 0.05). As the CF@SBA-15 concentration in the material increased, the antibacterial activity against both S. mutans and L. casei significantly improved (p < 0.05). The addition of 3 % and 5 % CF@SBA-15 significantly increased the biocompatibility (p < 0.05). The 5 % CF@SBA-15 group exhibited statistically significantly the highest stem cell differentiation potential, followed by the 3 % CF@SBA-15 group and the control group (p < 0.05). When compared to the control medium, the differentiation level in the CF@SBA-15-containing groups was higher (p < 0.05). Significance: The incorporation of CF@SBA-15 significantly enhanced the biocompatibility and antibacterial properties of the resin-based pulp capping materials. Furthermore, the influence of CF@SBA-15 on stem cell differentiation and its potential to support hard tissue formation in these materials shows promising results
Suicide Behavior Disorder: A Retrospective Study Supporting DSM-5 in Adolescents
No full textIntroduction: The aim of this study was to evaluate the clinical data of adolescents who attempted suicide, including comorbidities. Method: 183 adolescents aged 12-18 years with suicide attempt consulted from inpatient and emergency departments of the hospital and evaluated by child and adolescent psychiatry department between March 2019 and March 2023 were included in this study by retrospective review of hospital records. Age, gender, suicide method, DSM-5 diagnoses, previous psychiatric history, and attendance to follow-up examination were recorded. Results: The mean age of adolescents who attempted suicide was 15.09 1.57, 154 were female and 29 were male. Adjustment disorder was the most common DSM-5 diagnosis (22.4%). The majority of the cases, 49.7%, did not have any DSM-5 diagnosis. Discussion: The fact that no diagnosis was detected in almost half of the patients in our study supports that it can be considered as a separate diagnosis as suggested by DSM-5. J Pediatr Health Care. (2025) 39, 713-71
Effects of High Lipid Diet and Bromelain Enzyme on Body Weight, Lipase Gene Expression, and Blood Parameters in Mice BALB/c
No full textThe study examined the effects of high protein and lipid diets and bromelain enzyme supplementation on weight, liver enzymes, hematological, and lipid profiles of mice. A total of 25 male mice BALB/C with 7 weeks of age were used in the experiment. The treatment groups were as follows: (1) Control group (no addition in diet), (2) high lipid (HL, 4 g/mice), (3) high protein (HP, 4 g/mice), (4) HL + bromelain enzyme (HLB, 4 mg/mice), and (5) HP + bromelain enzyme (HPB, 4 mg/mice). Body weight gain rate of the control group was lower than the HL group, and the HLB group had a higher rate than the HPB group (p < 0.01). Liver enzyme levels were higher in the high-fat diet group, but bromelain mitigated this effect. Hematological results showed that the high-fat diet decreased platelet counts while increasing RBC, HGB, and WBC, whereas the protein diet improved platelet formation. Bromelain improved RBC and HGB levels in the high-fat diet, indicating a protective effect. Lipid analysis showed that the high-fat diet elevated harmful lipid levels, while the high-protein diet reduced some. Bromelain improved lipid profiles across both diets, suggesting cardiovascular benefits. The high-fat diet also raised creatinine and urea levels, indicative of kidney impairment, an effect exacerbated by a high-protein diet; however, bromelain supplementation reduced these levels, indicating kidney protection. The study found that high-fat diets increased oxidative stress markers, which were alleviated by bromelain. While PMN viability remained unchanged, phagocytosis rates increased with a high-protein diet and were further enhanced with bromelain in high-fat diets but not in high-protein diets. Moreover, bromelain significantly increased lipase gene expression in the high-fat diet, indicating enhanced fat metabolism, though it lowered lipase expression when combined with protein. Histological analyses illustrated severe liver and kidney damage in the high-fat diet group, marked by liver congestion and fatty degeneration, alongside renal damage, including atrophy and hemorrhage
High-accuracy prediction of the thermo-physical properties of 6xxx series aluminum alloys using explainable artificial intelligence
No full textPrediction models are commonly trained using datasets derived from open-source material data or detailed experimental studies to estimate material properties. However, preparing such datasets often requires time-consuming and labor-intensive processes. The CALPHAD (CALculation of PHAse Diagrams) methodology, on the other hand, enables the simulation of the physical, mechanical, and thermodynamic properties of materials for specific alloy compositions through phase transformation calculations and thermodynamic data sources. In this study, data obtained from aluminum alloys simulated using the CALPHAD-based JMatPro software were utilized as a dataset source to train a prediction model developed with Explainable Artificial Intelligence and Artificial Neural Networks. Accordingly, the thermo-physical properties (density, thermal conductivity, linear expansion, average expansion coefficient, Young's modulus, bulk modulus, shear modulus, and Poisson's ratio) of 225 different 6xxx series (Al-Mg-Si) aluminum alloys in the temperature range 25-155∘C were simulated, generating a dataset of 6075 rows. Of this dataset, 80% was used for model training, while the remaining 20% was used for validation and testing. The analyses revealed that the proposed model successfully predicted compositions with the desired thermo-physical properties at specific temperatures. The predicted composition was simulated under the same conditions as those used to generate the dataset in JMatPro software, and the obtained values showed a 98.57% accuracy rate compared to the target values. In conclusion, the dataset generated from aluminum alloys simulated using the CALPHAD methodology provides a reliable training source for AI-based material analysis. The proposed approach offers significant advantages in terms of speed and accuracy for material design and development processes
Differential cross section measurements for the production of top quark pairs and of additional jets using dilepton events from pp collisions at s = 13 TeV
No full textDifferential cross sections for top quark pair (tt¯) production are measured in proton-proton collisions at a center-of-mass energy of 13 TeV using a sample of events containing two oppositely charged leptons. The data were recorded with the CMS detector at the CERN Large Hadron Collider and correspond to an integrated luminosity of 138 fb−1. The differential cross sections are measured as functions of kinematic observables of the tt¯ system, the top quark and antiquark and their decay products, as well as of the number of additional jets in the event. The results are presented as functions of up to three variables and are corrected to the parton and particle levels. When compared to standard model predictions based on quantum chromodynamics at different levels of accuracy, it is found that the calculations do not always describe the observed data. The deviations are found to be largest for the multi-differential cross sections
Üniversiteye Yeni Başlamış Öğrencilerin Tarihi Olayların Geçtiği Mekânları Belirleyebilme Becerileri
No full textÜniversiteye yeni başlayan öğrencilerin tarihi olayların geçtiği mekânları haritada belirleyebilme becerilerini ölçmeyi amaçlayan bu çalışma nicel araştırma geleneği içerisinde yer alan betimsel tarama modelinde gerçekleşmiştir. Çalışma verileri, 2024-2025 akademik yılında Yozgat Bozok Üniversitesi Eğitim Fakültesi öğretmenlik programlarına yeni kayıt yaptırmış öğrencilerden toplanmıştır. Çalışma kapsamında lise ders kitapları taranmış ve bu ders kitaplarında yer verilmiş tarihsel mekânlardan, zamansal ve mekânsal uzaklıklar esas alınarak dört grupta toplam 20 tarihsel mekân seçilmiştir. Bu süreçle eş zamanlı olarak tarihteki mekânların harita üzerindeki konumları belirleyebilme derecesini ölçen bir mobil test aracı geliştirilmiştir. Bu mobil test aracı Türkiye’de bu bağlamda geliştirilmiş ilk mobil test aracıdır. Araştırma verileri bu araç ile toplanmıştır. Araştırma sonucunda, üniversiteye yeni başlamış öğrencilerin tarihi olayların geçtiği mekânları haritada belirleyebilme becerilerinin düşük olduğu görülmüştür. Ayrıca üniversiteye yeni başlamış öğrencilerin haritadaki tarihsel mekânların konumlarını belirleme başarıları üzerinde; tarihsel mekânın zamansal ve mekânsal yakınlığının, ÖSYM yerleştirme puan türünün ve cinsiyet niteliklerinin etkisi görülürken yerleşme puanının/başarı sıralamasının etkisinin olmadığı görülmüştür.This study, which aimed to assess the ability of first-year university students to identify the places where historical events took place on maps, was conducted within the framework of the quantitative research tradition using a descriptive survey model. The study data were collected from students newly enrolled in teacher education programs at Yozgat Bozok University's Faculty of Education during the 2024–2025 academic year. As part of the research, high school textbooks were examined, and 20 historical places were selected based on their temporal and spatial distances and categorized into four groups. Simultaneously, a mobile testing tool was developed to measure students' ability to pinpoint these historical places on a map. This is the first mobile test tool developed in Türkiye in this context. The research data were collected using this tool. The findings indicated that first-year university students had a low ability to identify the places where historical events took place on a map. Moreover, the study revealed that the temporal and spatial proximity of historical sites, the type of ÖSYM placement score, and gender characteristics influenced the success of newly enrolled university students in identifying the places where historical events took place on a map, whereas the placement score/ranking had no effect
