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Abstract Background This study investigated the antidiabetic and antioxidant properties of hemp seed oil using various bioanalytical methods. Furthermore, this study determined the suppressive properties of hemp seed oil on α-amylase, acetylcholinesterase and carbonic anhydrase II that purified by the sepharose-4B-L-Tyrosine-sulfanilamide affinity chromatoghraphy, all of which are related to different metabolic diseases. Moreover, the phenolic concentration in the essential oil was quantified through LC–HRMS chromatography. Thirteen distinct phenolic compounds were detected in hemp seed oil. Additionally, both the chemical components and quantity of essential oils within hemp seed oil were assessed through GC–FID and GC/MS analyses. Results The predominant essential oils in hemp seed oil included linoleoyl chloride (34.62%), linoleic acid (33.21%), and 2-4-di-tert-butylphenol (5.79%). Hemp seed oil's ability to scavenge radicals was studied through the use of 2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) and 1,1-diphenyl-2-picrylhydrazil bioanalytical radical scavenging methods. The results unveiled its potent radical-scavenging properties, with an 46.20 μg/mL for 2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) radicals and IC50 of 9.76 μg/mL for 1,1-diphenyl-2-picrylhydrazil radicals. The investigation also extended to explore the reducing capabilities of Fe3+-2,4,6-tri(2-pyridyl)-S-triazine, copper (Cu2+), and iron (Fe3+). Hemp seed oil demonstrated notable inhibitory effect against α-amylase (IC50: 545.66 μg/mL), achethylcholinesterase (IC50: 28.00 μg/mL), and carbonic anhydrase II (IC50: 322.62 μg/mL). Conclusions This interdisciplinary research will prove valuable and set the stage for future investigations into the antioxidant characteristics and enzyme inhibition patterns of plants and plants oils that hold medical and industrial significance.

Abstract Purpose The posterior cruciate ligament (PCL) is a vital knee stabilizer. While PCL injuries are rare, high-energy traumas can lead to total ruptures, with accompanying injuries requiring surgery. This study aims to investigate the demographics, concomitant injuries, and postoperative complications of patients who underwent PCL reconstruction due to high-energy trauma in a large patient sample. Methods Patients who underwent PCL reconstruction from 2016 to 2022 were retrospectively evaluated using data from a nationwide personal health recording system. Patient demographics, injury mechanisms, associated fractures, soft tissue injuries, and postoperative complications were collected from patient notes, clinical visits, and surgical notes. Individuals with a PCL injury following high-energy trauma (car accident, falls from height, motorcycle accident) with a minimum follow-up of 1 year were included in the study. Results The study included 416 patients with a mean age of 32.4 years. Isolated PCL injuries (n = 97, 23.3%) were observed less frequently than multiple-ligament injuries (n = 319, 76.7%). Most cases were treated with single-stage surgery (86.8%), while staged surgeries were performed in a minority of cases (13.2%). There was no relationship between trauma mechanisms and multiple-ligament involvement, accompanying injuries, or postoperative complications. Surgeries following car accidents were more likely to occur as staged surgeries (p = 0.014). Additionally, the complication rates for staged surgeries and younger patients (≤ 18 years) were significantly higher (p = 0.009). Conclusion High-energy trauma-induced PCL injuries are often associated with severe concurrent knee injuries with multiple ligament involvement. PCL reconstructions following car accidents are more likely to be staged. These findings highlight the importance of careful consideration in managing these cases to minimize complications, particularly in younger age groups. Level of evidence Level III.

Objective: The birth experience profoundly changes couples’ lives. The husband's role in the birth experience is to provide emotional and physical support to his wife. However, complex emotions can be experienced in the first births due to uncertainties. While birth can be positive for many couples, it can also be negative for many couples. In this context, the aim of this study was to determine the birth experiences of primiparous women and their husbands.Methods: This descriptive study included 350 couples who experienced their first birth between March 2020 and March 2021. The study was conducted in a mother-friendly hospital in Istanbul that allows spousal participation at birth. Data were collected face-to-face using a general information form and Birth Experience Questionnaire (BEQ). Data were analyzed using SPSS.Results: The mean age of the mothers was 23.60±2.69 years. The total mean BEQ scores of the mothers and their spouses were 37.89±3.25 and 46.28±5.02, respectively (p=0.00). Couples’ birth experiences were significantly associated with birth interventions. Episiotomy, enema, labor induction, emergency cesarean section, no skin-to-skin contact, and no early breastfeeding caused an increase in the negative birth experience scores of couples (p=0.000). As the BEQ total score of the mothers increased, the BEQ total score of the fathers also increased (p=0.000, r=0.57). Conclusion: In this study, participants had a neutral to slightly negative experience. Labor interventions were associated with a negative birth experience. During the antenatal period, both women and their spouses should receive training and support for possible interventions at birth and emotion management.

Abstract Background Concomitant knee injuries, such as meniscal tears, are observed in up to 80% of cases and can have a detrimental impact on outcomes following anterior cruciate ligament reconstruction (ACLR). Over recent decades, there has been a growing recognition of the importance of preserving meniscal tissue. Consequently, the prevalence of meniscal-preserving procedures has been on the rise. Purpose The objective of this study was to examine the prevalence of concurrent meniscal procedures, assess the success rate, and identify factors associated with the failure of meniscal repair in patients undergoing ACLR. Methods All patients who underwent ACLR due to anterior cruciate ligament (ACL) injury between January 2015 and December 2022 were extracted from the Republic of Türkiye National health system using operation-specific procedure codes. Patients with multiple ligament injuries, revision ACL patients, and patients with missing data were excluded from the study. The treatment methods were grouped into the subsets of meniscectomy, meniscal repair, transplantation, and meniscectomy + repair. The distribution of ACLR and meniscus treatment methods according to years, age and sex groups, hospital characteristics, and geographical regions was examined. A secondary analysis was performed to assess the effect of patient demographics and hospital healthcare level on revision meniscal procedures in the ACLR + concomitant meniscal repair group. Results A total of 91,700 patients who underwent ACLR between 2015 and 2022 were included in the study. A concomitant meniscal procedure was noted in 19,951(21.8%) patients (16,130 repair,3543 meniscectomy). In the 8 years studied, meniscus repair rates increased from 76.3%to87.9%, while meniscectomy rates decreased from 23.7%to12.1% (p

X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.

This study was carried out to examine the goal commitment and subjective happiness levels of students studying in the faculty of sport sciences according to some variables. The research group consisted of 346 students who voluntarily participated from the faculty of sport sciences of a state university in Turkey. "Goal Commitment Scale" was used to determine the level of goal commitment of the participants, and the "Subjective Happiness Scale" was used to determine the levels of subjective happiness. Descriptive statistics were used in the analysis of demographic variables, Pearson correlation was used to determine the direction and strength of the variables, independent sample t-test was used for comparisons of the groups. The results of the study showed that subjective happiness levels of students differed according to gender and goal commitment levels differ depending on the active sport participation. In addition, significant and positive relationships were observed between the goal commitment and subjective happiness levels of the students and between the academic grade averages and the goal commitment levels. These results indicate that the goal commitment levels of students will increase as a result of encouraging active sports, and thus their academic success and subjective happiness may increase.

The aim of this research is to examine the perceptions of organizational cynicism among academics who teach in the field of sports. Population of the research is composed of academics who teach in the sports field as part of the academic staff. The number of academics in the field of sports education in Turkey is around 5,000. In order to ensure a 95% confidence level in the study, at least 384 people were needed. In this context, 408 academics were approached, and the study was conducted. In the research, a questionnaire form was used as a data collection tool. The questionnaire consists of two parts. In the first part, there are 5 questions to determine the demographic and employment characteristics of the individuals, and in the second part, there are 13 questions in the form of a 5-point Likert scale to determine the perception of organizational cynicism. Data analysis was conducted in SPSS 16 package program. The decision whether the indifference tests will be parametric or nonparametric was determined by Kolmogorov-Smirnov Test. As the "p" values are not at the level of 5% significance within the scope of the test results, it was decided that the sub-dimensions fit the normal distribution conditions. Thus, it was decided to use the parametric tests of t test, ANOVA test and Pearson correlation test.

Cancer, the second-leading cause of death worldwide after cardiovascular diseases, is a deadly disease caused by numerous mutations that affect cell growth and differentiation. While there is no definitive cure for cancer yet, new target molecules are being identified with the help of developing technology, and appropriate treatment protocols are being developed. Since both normal and malignant cells are exposed to cytotoxic effects in traditional treatment methods, the development of less-side-effect and targeted treatment methods has become important. With the development of nanotechnology, the development of various nanodrug delivery systems (DDSs) has been targeted. In our study, we investigated the antiproliferative and antimicrobial activities of rutin-modified carbon nanofiber (ACNFr)-based aerogels loaded with krill oil (KO) (ACNFr-KO). Our results showed that ACNFr-KO aerogels were observed to have a significant anti-proliferative effect on the human breast cancer cell line MCF-7. In addition to this, ACNFr-KO aerogels were found to have antimicrobial activity against the gram-positive bacterium E. faecalis ATCC 29212. The results of our study suggest that rutin-modified CNF-based aerogels loaded with KO, which act as a DDS, have the potential to enhance targeted drug delivery and improve therapeutic outcomes in biomedical applications.

IntroductionRare and ultra-rare genetic conditions significantly contribute to infant morbidity and mortality, often presenting with atypical features and genetic heterogeneity that complicate management. Rapid genome sequencing (RGS) offers a timely and cost-effective approach to diagnosis, aiding in early clinical management and reducing unnecessary interventions. This pilot study represents the inaugural use of next-generation sequencing (NGS) as a diagnostic instrument for critically ill neonatal and pediatric ICU patients in a Turkish hospital setting.MethodsTen infants were enrolled based on predefined inclusion criteria, and trio RGS was performed. The mean age of the participants was 124 days, with congenital abnormalities being the most common indication for testing. Three patients had consanguineous parents. The mean turnaround time from enrollment to delivery of results was 169 h, with a diagnostic yield of 50%.ResultsThree patients received a definitive molecular diagnosis, impacting their clinical management. Two patients benefited from the exclusion of Mendelian conditions, leading to alternative diagnoses.DiscussionThis study demonstrates the feasibility and results of RGS in Turkish hospital settings, emphasizing the importance of timely genetic diagnosis in reducing the diagnostic odyssey for families and improving patient care. Further research is needed to evaluate the cost-effectiveness and applicability of RGS in the Turkish healthcare system for children with diseases of uncertain etiology.

This study introduces the development of novel, flexible gas sensors operating at room temperature (RT), utilizing a graphene oxide (GO) via the modified Hummers' method and bacterial nanocellulose (BNC) composite to enhance gas detection in industrial and environmental settings. The composite materials, denoted as GO@BNC, were synthesized with varying GO concentrations ranging from 2 % to 30 %, aiming to investigate their responsiveness to gases such as carbon dioxide (CO2), oxygen (O2), acetone (Ac), and ethanol (Eth). The prepared nanomaterials were characterized using FT-IR, Raman, TGA, SEM, and AFM techniques. The bandgap of Go ranges from 4.19, 3.47, 3.16, 2.79, and 2.48 eV for 2, 5, 10, 20, and 30 % GO concentrations, respectively. Notably, the sensor containing wt % of 20 % GO concentration exhibited remarkable sensitivity to Ac, achieving a 270 % increase in resistance at a concentration of 250 μL/L. Conversely, the sensor with a wt % of 30 % GO composition showed superior sensitivity to Eth, with a 420 % signal enhancement under similar conditions. Further modification of GO@BNC through mild reduction resulted in the formation of reduced graphene oxide (rGO@BNC) composites intended to assess the functional groups' impact on sensing performance. Our findings underscore the potential of GO@BNC composites as sustainable and efficient materials for fabricating eco-friendly flexible gas sensors and devices for detecting organic compounds.

This research aimed to examine the mediating role of forgiveness in the relationship between vengeance and tranquility. 297 university students participated in this research. Scales of revenge, forgiveness and tranquility were used to collect data. The results indicated that forgiveness played a full mediator role in the relationship between vengeance and tranquility. In other words, in this model, as vengeance increases, tranquility and forgiveness decrease, and forgiveness plays a mediating role in that relationship. Individuals with high levels of vengeance are unlikely to have high levels of tranquility and forgiveness. If individuals feel more vengeance, they may have low forgiveness and exhibit less tendency to feelings of tranquility.

Architectural design is an interdisciplinary process which involves multiple stages that are interconnected. In this process, it is common for major decisions to be changed during the final stage, the analysis of the structural system. After making substantial corrections, the architect has to revisit the early stages, the preliminary project. This back-and-forth process can result in significant losses in time and cost. The proposed Irregularity Control Assistant (IC-Assistant) aims to provide architects with feedback on the conformity of structural system decisions to the irregularities defined in the Turkish Building Earthquake Code (TBEC-2018), using image processing methods at the early stages of the design process. The IC-Assistant was preliminarily created to evaluate the torsional irregularity of plan organization using deep learning methods. In this study, the results of the IC-Assistant were verified by structural analysis with the Prota-Structure program. The novelty of this study is the use of the image-classification method in earthquake-resistant architectural design. Up to this point, the method has been mainly used in facial recognition systems. This method minimizes time, human error, and cost losses and includes awareness of load bearing and earthquake resistance as inputs in the early stages of architectural design.

In this study, new 1,3-thiazolidin-4-one derivatives containing arylmethylene groups in the 5-position were obtained from 6-(trifluoromethoxy)-1,3-benzothiazol-2-amine (riluzole). Synthesized compounds were characterized by spectral data and elemental analysis. In vitro, cytotoxic activities of the synthesized molecules were evaluated against the human lung cancer (A549) and human prostate cancer (PC-3) cell lines. Compounds were also tested on mouse embryonic fibroblast cells (NIH/3T3) to determine selectivity. Ten target compounds 3-12 were also screened for their COX-1 and COX-2 inhibitory activities. Of these compounds, 4 showed the highest COX-2 inhibition at 10 μM. Molecular docking calculations were performed to understand the binding interactions of compounds with COX-1 and COX-2 proteins. In silico studies of the tested compounds represented important binding modes that may be responsible for their anti-cancer activity via selective inhibition of the COX-2 enzyme. ADMET predictions were conducted to assess the drug-like properties of the novel compounds.

Background and objectives: The frontal QRS-T angle is a novel parameter of myocardial repolarization. Weight gain during pregnancy and physiological changes during a cesarian section may affect the frontal QRS-T angle. We aimed to assess the effect of body mass index (BMI) on the frontal QRS-T angle in pregnant women undergoing cesarean section with spinal anesthesia. Method and materials: This study included 90 pregnant women. BMI was calculated for all pregnant women. The study population was divided into two groups: BMI < 30 (n = 66) and BMI ≥ 30 (n = 24). QT interval measurements and the frontal QRS-T angle were obtained from the report of an electrocardiography machine. Results: It was found that the pre-operative and post-operative frontal QRS-T angle (p = 0.045 and p = 0.007) and QTc interval (p = 0.037 and p < 0.001) were higher in pregnant women with a BMI ≥ 30 than in pregnant women with a BMI < 30. In addition, when compared to pre-operative values, the post-operative frontal QRS-T angle (from 24.0 [20.0–41.5] to 34.5 [19.5–50.0], p = 0.031) and QTc interval (from 420.6 ± 13.3 to 431.7 ± 18.3, p = 0.010) were increased in the BMI ≥ 30 group, whereas no significant post-operative increase was observed in the BMI < 30 group. In correlation analysis, BMI was positively correlated with the frontal QRS-T angle and QTc interval. Conclusions: The frontal QRS-T angle and QTc interval were importantly increased in pregnant women with a BMI ≥ 30 than in pregnant women with a BMI < 30. Also, after cesarean section operation with spinal anesthesia, the frontal QRS-T angle and QTc were increased significantly in the BMI ≥ 30 group, whereas no significant change was observed in the BMI < 30 group. Therefore, it is suggested to perform close post-operative monitoring in pregnant women with a BMI ≥ 30 undergoing cesarean section with spinal anesthesia.

Object detection in high resolution enables the identification and localization of objects for monitoring critical areas with precision. Although there have been improvements in object detection at high resolution, the variety of object scales, as well as the diversity of backgrounds and textures in high-resolution images, make it challenging for detectors to generalize successfully. This study introduces a new method for object detection in high-resolution images. The pre-processing stage of the method includes ISA and SAM to slice the input image and segment the objects in bounding boxes, respectively. In order to improve the resolution in the slices, the first layer of YOLO is designed as SRGAN. Thus, before applying YOLO detection, the resolution of the sliced images is increased to improve features. The proposed system is evaluated on xView and VisDrone datasets for object detection algorithms in satellite and aerial imagery contexts. The success of the algorithm is presented in four different YOLO architectures integrated with SRGAN. According to comparative evaluations, the proposed system with Yolov5 and Yolov8 produces the best results on xView and VisDrone datasets, respectively. Based on the comparisons with the literature, our proposed system produces better results.