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Protective effects of apocynin and melatonin on ovarian ischemia/reperfusion injury in rats
Get PDFObjective: This study aims to determine the protective effects of apocynin, a NADPH oxidase inhibitor, and melatonin, an endogenous anti-oxidant, in an animal model of ovarian ischemia/reperfusion (I/R) injury. Materials/Methods: Thirty-five female rats were randomly divided into five groups, namely group I (sham), group II (I/R), group III (I/R + 10 mg/kg apocynin), group IV (I/R + 20 mg/kg apocynin), and group V (I/R + 10 mg/kg melatonin). Ovarian tissue and serum superoxide dismutase (SOD) and catalase (CAT) activities and malondialdehyde (MDA) and protein carbonyl (PC) levels were measured. Ovarian histopathology was examined and Bax, caspase 3, and iNOS immunoreactivities were evaluated. Results: Preoperative apocynin and melatonin significantly increased SOD and CAT activities (P < 0.05, P < 0.05, P < 0.01, P < 0.01, P < 0.01, P < 0.05, P < 0.05, and P<0.01, respectively, for both apocynin and melatonin). In addition, preoperative apocynin and melatonin significantly decreased the ovarian I/R injury score (P < 0.01 for both). Bax, caspase 3, and iNOS immunoreactivities were significantly lower in the I/R + 10 mg/kg apocynin and I/R + 10 mg/kg melatonin groups than in the I/R group (P<0.01, P<0.01, P<0.01, P<0.01, P<0.05, and P<0.01, respectively). Conclusions: Apocynin and melatonin are powerful antioxidant agents with considerable bioavailability and safety. Preoperative apocynin and melatonin administration might protect ovarian tissue from I/R injury after surgical adnexal detorsion
Utilization of edible mushroom for nanomaterial-based bioactive material development
Get PDFGold nanoparticles (AuNP) were synthesized using edible mushroom Russula delica (RD) in this study.
Possibilities to evaluate these synthesized nanoparticles (RD-AuNPs) as bioactive substances were investigated.
Characterization of synthesized RD-AuNPs were characterized via UV-vis, XRD, FTIR, EDX. In a spherical view,
RD-AuNPs with a crystal size of 34.76 nm were synthesized. As a result, fungal systems used for nanomaterial
biosynthesis as an effective alternative to chemical synthesis can be used in different biotechnological and medical
applications. RD-AuNPs produced by green synthesis can be evaluated in this context
The convolutional neural network approach from electroencephalogram signals in emotional detection
No full textAlthough brain-computer interfaces (BCI) progress rapidly, the desired success has not been achieved yet. One of these BCI is to detect emotional states in humans. An emotional state is a brain activity consisting of hormonal and mental reasons in the face of events. Emotions can be detected by electroencephalogram (EEG) signals due to these activities. Being able to detect the emotional state from EEG signals is important in terms of both time and cost. In this study, a method is proposed for the detection of the emotional state by using EEG signals. In the proposed method, we aim to classify EEG signals without any transform (Fourier transform, wavelet transform, etc.) or feature extraction method as a pre-processing. For this purpose, convolutional neural networks (CNNs) are used as classifiers, together with SEED EEG dataset containing three different emotional (positive, negative, and neutral) states. The records used in the study were taken from 15 participants in three sessions. In the proposed method, raw channel-time EEG recordings are converted into 28 × 28 size pattern segments without pre-processing. The obtained patterns are then classified in the CNN. As a result of the classification, three emotion performance averages of all participants are found to be 88.84%. Based on the participants, the highest classification performance is 93.91%, while the lowest classification performance is 77.70%. Also, the average f-score is found to be 0.88 for positive emotion, 0.87 for negative emotion, and 0.89 for neutral emotion. Likewise, the average kappa value is 0.82 for positive emotion, 0.81 for negative emotion, and 0.83 for neutral emotion. The results of the method proposed in the study are compared with the results of similar studies in the literature. We conclude that the proposed method has an acceptable level of performance
Health literacy, health perception and related factors among different ethnic groups: a cross-sectional study in southeastern Turkey
No full textBackground: Low levels of health literacy are associated with increased hospitalization rates, problems regarding the proper intake of medications, poor general health and increased mortality rates. It is a well-known fact that health literacy differs among ethnic groups and ethnic minorities, in particular, are known to have a low level of health literacy. The present study aimed to reveal the levels of health literacy among different ethnic groups and the affecting factors as well as the relationship between health literacy and health perceptions. Methods: This cross-sectional study was carried out with different ethnic groups (Kurdish, Arab, Turkish and Assyrian origin), between 18 and 65 years old in the province of Mardin in Turkey. The study was conducted with a total of 600 people. The European Health Literacy Scale-Turkish Adaptation (EHLS-TR) and Health Perception Scale (HPS) were used for measurement. Descriptive analysis, Mann Whitney U Test, Kruskal Wallis Test and Spearman correlation were used in the data analysis. Results: It was found that 80.7% of the participants had relatively low levels of health literacy. The lowest levels of health literacy were among those of Kurdish origin. There were correlations between sufficient levels of health literacy and several factors including being of Assyrian origin, being 50–65 years old, living in a nuclear family, being a secondary school graduate, having a high financial status, being retired, evaluating one’s own health status as good, obtaining health information from healthcare professionals, preferring to visit a state hospital to seek medical assistance first, smoking and drinking alcohol. A positive correlation was also identified between the levels of health literacy and health perception. Conclusions: It is essential to develop programs to increase health literacy for the public and, in particular, for the ethnic groups that are disadvantaged in many aspects in the context of health literacy
Relationship Between Lymph Node Metastasis and Lymph Node Density and Preoperative Neutrophil-Lymphocyte Ratio in Patients Undergoing Radical Cystectomy
No full textObjective: This study aimed to evaluate the relationship between the preoperative neutrophil-lymphocyte ratio (NLR) and lymph node metastasis and lymph node
density after radical cystectomy in patients with invasive urinary bladder cancer.
Materials and Methods: Data of 89 patients who underwent radical cystectomy were examined. Our study included only cases with stage 2 urothelial bladder
cancer. They were classified according to the lymph node status based on the surgical specimen. Patients with negative results were classified as group 1 and those
with positive results as group 2. Patients in group 2 were further evaluated in two subgroups according to their lymph node density. Accordingly, group 2A consisted
of patients with lymph node density of <20%, and group 2B involved those with lymph node density of ≥20%. Groups were compared statistically according to NLR.
Results: Of the patients, 71 (79.8%) were male. The patients’ mean ages and neutrophil and lymphocyte counts were 67.36±8.64 years, 6.89±3.02 K/µL, and
3.08±2.18 K/µL, respectively. NLRs of groups 1 and 2 were 2.80±2.25 and 4.59±2.97, respectively. The relationship between group 1 and 2 tumors was significant
(p=0.008). NLR values were 3.82±2.49 and 5.20±3.25 in groups 2A and 2B, respectively. However, no significant relationship was found between these values
(p=0.235).
Conclusion: Although no positive correlation was found between NLR and lymph node density, we think that this inflammation marker is an invaluable parameter
to predict lymph node metastasi
Classification and analysis of epileptic EEG recordings using convolutional neural network and class activation mapping
No full textElectrical bio-signals have the potential to be used in different applications due to their hidden nature and their ability to facilitate liveness detection. This paper investigates the feasibility of using the Convolutional Neural Network (CNN) to classify and analyze electroencephalogram (EEG) data with their time-frequency representations and class activation mapping (CAM) to detect epilepsy disease. Several types of pre-trained CNNs are employed for a multi-class classification task (AlexNet, GoogLeNet, ResNet-18, and ResNet-50) and their results are compared. Also, a novel convolutional neural network architecture comprised of two horizontally concatenated GoogLeNets is proposed with two inputs scalograms and spectrogram of the eplictic EEG signal. Four segment lengths (4097, 2048, 1024, and 512 sampling points) with three time-frequency representations (short-time Fourier, Wavelet, and Hilbert-Huang transform) are statistically evaluated. The dataset used in this research is collected at the University of Bonn. The dataset is reorganized as normal, interictal, and ictal. The maximum achieved accuracies for 4097, 2048, 1024, and 512 sampling points are 100 %, 100 %, 100 %, and 99.5 % respectively. The CAM method is used to analyze discriminative regions of time-frequency representations of EEG segments and networks' decisions. This method showed CNN models used different time and frequency regions of input images for each class with correct and incorrect predictions
Synthesis and characterization of the molecularly imprinted composite as a novel adsorbent and its competition with non-imprinting composite for removal of dye
Get PDFue to its high visibility, high resistance, and toxic effects, colored substances in the textile and other dyeing industries waste-water cause great damage to biological organisms and ecology. Therefore, current research efforts to develop high selectivity, specificity, and efficient water treatment technologies are very intense, and molecularly imprinting methods (MIM) constitute a category of functional materials to meet these criteria. Polymethylmethacrylate-chitosan molecularly imprinted composite (PMMAC-MIC) and non-imprinted composite (PMMAC-NIC) were successfully prepared by MIM. Dye adsorption performance of MIC and NIC composites was investigated by comparison. The obtained adsorbents were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), field-emission scanning electron microscopy (FE-SEM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and zeta potential techniques. The kinetics of adsorption followed a pseudo-first-order model while the Langmuir adsorption isotherm provided the best fit. The maximum adsorption capacity of dye was found as 93.78 mg/g for PMMAC-MIC and 17.70 mg/g for PMMAC-NIC at 298 K temperature, the initial dye concentration was 100 mg/L. Thermodynamic parameters indicated that the removal of dye from PMMAC-MIC was endothermic and spontaneous. Besides, the regeneration of composite was recycled four times
Eating behavior changes of people with obesity during the covid-19 pandemic
Get PDFObjective: The precautions taken during the pandemic period may cause stress-related eating behavior disorders. It was aimed to test this hypothesis, and the study was carried out to examine pandemic measures the effect of on the nutritional, depression and stress conditions of people with obesity. Methods: The individuals who participated in the study were people with obesity who received follow-up dietary therapy in a private hospital. Three separate scales were applied to the individuals, which measured the desire to overeating request, depression status and stress-fighting status. Results: This study was conducted on 368 individuals. Women had lower values of BMI (28.57±3.89 kg/cm2) than men (30.64±2.87 kg/cm2). When the scores of the excessive eating request scale mean scores before and during the pandemic were examined, it was seen that the scores of the individuals increased during the pandemic. In the multivariate regression model, it was seen that the increase of stress and BMI increased the FCQ score (p<0.001). Multiple regression models were created by taking into account the criteria that caused the score increase. Each variable can predict the FCQ score separately. The predictor significance order of variants on FCQ score β values is as follows: the Patient Health Questionnaire-9 (PHQ-9) (β=0.774), before pandemic FCQ (β=0.601), the Perceived Stress Scale (PSS) (β=−0.268), before pandemic BMIa (β=−0.223), during pandemic BMIb (β=0.073), and age (β=−0.013). Conclusion: COVID-19 pandemic, making applications such as quarantine in pandemic processes has successful results in being able to combat its. However, undesirable conditions such as stress can have serious negative consequences on other health measurements. It was observed in the results of this study that excessive eating food desire developed in people with obesity
First report of Neoscytalidium dimidiatum causing foliar and stem blight of lavender in Turkey
No full textLavender (Lavandula angustifolia Mill.) is a valuable
medicinal and aromatic plant in Turkey, with a cultivated
area of 2,218 hectares in 2020 (TURKSTAT 2021). In June
2020, wilting, extensive stem and leaf blight or necrosis
were observed in two-year-old lavender plants cultivated in
the experimental felds of the GAP Agricultural Research
Institute, Şanlıurfa, Turkey
Söylemin Duygusal Boyutunun Göstergebilimsel Analizi: Duygusal Dönüşümlerin İzdüşümü
No full textLiterature is one of the most important representations of the artistic field, which is constructed by an extraordinary sequence of verbal and nonverbal signs. Short story is one of the genres of this area in which encountering various kinds of signs is possible through the production process. There are umpteen signs in relation to the attitudes of narrative persons in such stories. In such short story narratives, which are a linguistic message, many indications about the behavior and attitudes of the narrator can be encountered. These indicators are behavioral-emotional indicators that reveal the mood of narrative figures such as joy, enthusiasm, sadness, crying, hugging, and hugging. Nonverbal signs, sometimes, do not make sense alone. However, they are meaningful when they are used in a particular context to support the verbal signs, which displays contribution of the nonverbal signs to the meaning established with the verbal signs. What is significant here is the harmony of using nonverbal signs in conjunction with the verbal ones. If that congruence exists, the produced message becomes stronger and increases its effect; otherwise, the power and impact of the message decrease. Hence, the message becomes meaningless. In this study, how the affective domain of discourse is produced in short stories, and the contribution of nonverbal signs in the construction of meaning and emotional field is investigated. The research is carried out pursuant to the possibilities offered by semiotics of discourse approach, which explores and clarifies the inner world of the subject of enunciation, who produces discourse, the changing mood, and the forms of expressions of the subject in different situations and events in narratives. Throughout the study, affective domain of discourse and the stages of it –affective awakening stage, disposition stage, passional pivot stage, emotion stage, and moralization stage– are examined pursuant to semiotics of discourse approach, elaborated by Jacques Fontanille, who is one of the representatives of Paris School of Semiotics