Sivas Cumhuriyet Üniversitesi

Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.

Acute right ventricular (RV) failure is a complex clinical syndrome that results from many causes. Research efforts have disproportionately focused on the failing left ventricle, but recently the need has been recognized to achieve a more comprehensive understanding of RV anatomy, physiology, and pathophysiology, and of management approaches. Right ventricular mechanics and function are altered in the setting of either pressure overload or volume overload. Failure may also result from a primary reduction of myocardial contractility owing to ischaemia, cardiomyopathy, or arrhythmia. Dysfunction leads to impaired RV filling and increased right atrial pressures. As dysfunction progresses to overt RV failure, the RV chamber becomes more spherical and tricuspid regurgitation is aggravated, a cascade leading to increasing venous congestion. Ventricular interdependence results in impaired left ventricular filling, a decrease in left ventricular stroke volume, and ultimately low cardiac output and cardiogenic shock. Identification and treatment of the underlying cause of RV failure, such as acute pulmonary embolism, acute respiratory distress syndrome, acute decompensation of chronic pulmonary hypertension, RV infarction, or arrhythmia, is the primary management strategy. Judicious fluid management, use of inotropes and vasopressors, assist devices, and a strategy focusing on RV protection for mechanical ventilation if required all play a role in the clinical care of these patients. Future research should aim to address the remaining areas of uncertainty which result from the complexity of RV haemodynamics and lack of conclusive evidence regarding RV-specific treatment approaches.

The present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated the impact of personality traits, artificial intelligence anxiety, and demographics on attitudes toward artificial intelligence. The sample consisted of 259 female (74%) and 91 male (26%) individuals aged between 18 and 51 (Mean = 24.23). Measures taken were demographics, the Ten-Item Personality Inventory, the Artificial Intelligence Anxiety Scale, and the General Attitudes toward Artificial Intelligence Scale. The Turkish GAAIS had good validity and reliability. Hierarchical Multiple Linear Regression Analyses showed that positive attitudes toward artificial intelligence were significantly predicted by the level of computer use (β = 0.139, p = 0.013), level of knowledge about artificial intelligence (β = 0.119, p = 0.029), and AI learning anxiety (β = −0.172, p = 0.004). Negative attitudes toward artificial intelligence were significantly predicted by agreeableness (β = 0.120, p = 0.019), AI configuration anxiety (β = −0.379, p < 0.001), and AI learning anxiety (β = −0.211, p < 0.001). Personality traits, AI anxiety, and demographics play important roles in attitudes toward AI. Results are discussed in light of the previous research and theoretical explanations.

Human spatial behavior has been the focus of hundreds of previous research studies. However, the conclusions and generalizability of previous studies on interpersonal distance preferences were limited by some important methodological and sampling issues. The objective of the present study was to compare preferred interpersonal distances across the world and to overcome the problems observed in previous studies. We present an extensive analysis of interpersonal distances over a large data set ( N = 8,943 participants from 42 countries). We attempted to relate the preferred social, personal, and intimate distances observed in each country to a set of individual characteristics of the participants, and some attributes of their cultures. Our study indicates that individual characteristics (age and gender) influence interpersonal space preferences and that some variation in results can be explained by temperature in a given region. We also present objective values of preferred interpersonal distances in different regions, which might be used as a reference data point in future studies.

In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral loop of flexible plastic pipe)type ground heat exchanger (GHE) was established for a solar-assisted ground source heat pump system. System modelling is performed with the data obtained from the experiment. Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used in modelling. The slinky pipes have been laid horizontally and vertically in a ditch. The system coefficient of performance (COPsys) and the heat pump coefficient of performance (COPhp) have been calculated as 2.88 and 3.55, respectively, at horizontal slinky-type GHE, while COPsys and COPhp were calculated as 2.34 and 2.91, respectively, at vertical slinky-type GHE. The obtained results showed that the ANFIS is more successful than that of ANN for forecasting performance of a solar ground source heat pump system.

Acute heart failure is a fatal syndrome. Emergency physicians, cardiologists, intensivists, nurses and other health care providers have to cooperate to provide optimal benefit. However, many treatment decisions are opinion-based and few are evidenced-based. This consensus paper provides guidance to practicing physicians and nurses to manage acute heart failure in the pre-hospital and hospital setting. Criteria of hospitalization and of discharge are described. Gaps in knowledge and perspectives in the management of acute heart failure are also detailed. This consensus paper on acute heart failure might help enable contiguous practice.

Organ injury and impairment are commonly observed in patients with acute heart failure (AHF), and congestion is an essential pathophysiological mechanism of impaired organ function. Congestion is the predominant clinical profile in most patients with AHF; a smaller proportion presents with peripheral hypoperfusion or cardiogenic shock. Hypoperfusion further deteriorates organ function. The injury and dysfunction of target organs (i.e. heart, lungs, kidneys, liver, intestine, brain) in the setting of AHF are associated with increased risk for mortality. Improvement in organ function after decongestive therapies has been associated with a lower risk for post-discharge mortality. Thus, the prevention and correction of organ dysfunction represent a therapeutic target of interest in AHF and should be evaluated in clinical trials. Treatment strategies that specifically prevent, reduce or reverse organ dysfunction remain to be identified and evaluated to determine if such interventions impact mortality, morbidity and patient-centred outcomes. This paper reflects current understanding among experts of the presentation and management of organ impairment in AHF and suggests priorities for future research to advance the field.

The problem-based learning (PBL) approach was implemented as a treatment for higher education visual arts students over one semester to examine its effect on the creative thinking and critical thinking disposition of these students. PBL had a significant effect on creative thinking, but critical thinking disposition was affected to a lesser degree. One possible reason for this result is that in this study, open structures were used for learning activities as a nonroutine problem-solving process to develop creative thinking. Accordingly, the results of this study indicate that PBL can help students with nonroutine problem-solving processes by maintaining uncertainty and enhancing creative thinking. However, a similar conclusion could not be reached for critical thinking disposition. Therefore, future studies regarding critical thinking disposition and the PBL approach should be conducted.

The essential oil, obtained by using a Clevenger distillation apparatus, and water-soluble (polar) and water-insoluble (nonpolar) subfractions of the methanol extract of Thymus pectinatus Fisch. et Mey. var. pectinatus were assayed for their antimicrobial and antioxidant properties. No (or slight) antimicrobial activity was observed when the subfractions were tested, whereas the essential oil showed strong antimicrobial activity against all microorganisms tested. Antioxidant activities of the polar subfraction and the essential oil were evaluated using 2,2-diphenyl-1-picrylhydrazyl, hydroxyl radical, superoxide radical scavenging, and lipid peroxidation assays. The essential oil, in particular, and the polar subfraction of the methanol extract showed antioxidant activity. The essential oil was analyzed by GC/MS, and 24 compounds, representing 99.6% of the essential oil, were identified: thymol, gamma-terpinene, p-cymene, carvacrol, and borneol were the main components. An antimicrobial activity test carried out with fractions of the essential oil showed that the activity was mainly observed in those fractions containing thymol, in particular, and carvacrol. The activity was, therefore, attributed to the presence of these compounds. Other constituents of the essential oil, such as borneol, gamma-terpinene, and p-cymene, could be also taken into account for their possible synergistic or antagonistic effects. On the other hand, thymol and carvacrol were individually found to possess weaker antioxidant activity than the crude oil itself, indicating that other constituents of the essential oil may contribute to the antioxidant activity observed. In conclusion, the results presented here show that T. pectinatus essential oil could be considered as a natural antimicrobial and antioxidant source.

Antioxidants are compounds that inhibit the oxidation of other molecules and protect the body from the effects of free radicals, produced either by normal cell metabolism or as an effect of pollution and exposure to other external factors and are responsible for premature aging and play a role in cardiovascular disease. degenerative diseases such as cataracts, Alzheimer's disease, and cancer. While many antioxidants are found in nature, others are obtained in synthetic form and reduce oxidative stress in organisms. This review highlights the pharmacological relevance of antioxidants in fruits, plants, and other natural sources and their beneficial effect on human health through the analysis and in-depth discussion of studies that included phytochemistry and their pharmacological effects. The information obtained for this review was collected from several scientific databases (ScienceDirect, TRIP database, PubMed/Medline, Scopus, Web of Science), professional websites, and traditional medicine books. Current pharmacological studies and evidence have shown that the various natural antioxidants present in some fruits, seeds, foods, and natural products have different health-promoting effects. Adopting functional foods with high antioxidant potential will improve the effective and affordable management of free radical diseases while avoiding the toxicities and unwanted side effects caused by conventional medication.

Considerable research has examined human mate preferences across cultures, finding universal sex differences in preferences for attractiveness and resources as well as sources of systematic cultural variation. Two competing perspectives—an evolutionary psychological perspective and a biosocial role perspective—offer alternative explanations for these findings. However, the original data on which each perspective relies are decades old, and the literature is fraught with conflicting methods, analyses, results, and conclusions. Using a new 45-country sample ( N = 14,399), we attempted to replicate classic studies and test both the evolutionary and biosocial role perspectives. Support for universal sex differences in preferences remains robust: Men, more than women, prefer attractive, young mates, and women, more than men, prefer older mates with financial prospects. Cross-culturally, both sexes have mates closer to their own ages as gender equality increases. Beyond age of partner, neither pathogen prevalence nor gender equality robustly predicted sex differences or preferences across countries.

Abstract The self‐report questionnaire is one of the most widely used assessment strategies in clinical psychology. It consists of a set of written questions used for describing certain qualities or characteristics of the test subject. In this entry a brief overview of the main characteristics of self‐report questionnaires is presented along with advantages and disadvantages to be used in the field of clinical psychology, both in research and practice, the crucial steps to develop self‐report questionnaires, and description of the reliability and validity of self‐report questionnaires.

AIMS: The aim of this study was to assess the prevalence of abnormal liver function tests (LFTs) and the associated clinical profile and outcome(s) in acute decompensated heart failure (ADHF) patients. Alteration in LFTs is a recognized feature of ADHF, but prevalence and outcomes data from a broad contemporary cohort of ADHF are scarce and the mechanism(s) of ADHF-induced cholestasis is unknown. METHODS AND RESULTS: We conducted a post hoc analysis of SURVIVE, a large clinical trial including ADHF patients treated with levosimendan or dobutamine. All LFTs were available in 1134 patients at baseline. Abnormal LFTs were seen in 46% of ADHF patients: isolated abnormal alkaline phosphatase (AP) was noted in 11%, isolated abnormal transaminases in 26%, and a combination of abnormal AP and transaminases in 9%. Abnormal AP was associated with marked signs of systemic congestion and elevated right-sided filling pressure. Abnormal AP had no relationship with 31-day mortality but was associated with worse 180-day mortality (23.5 vs. 34.9%, P = 0.001 vs. patients with normal AP). Abnormal transaminases were associated with clinical signs of hypoperfusion and with greater 31-day and 180-day mortality compared with normal transaminase profiles (17.6 vs. 8.4% and 31.6 vs. 22.4%, respectively; both P < 0.001). There was no additive value of abnormal AP plus abnormal transaminase on a long-term outcome. CONCLUSION: Abnormal LFTs were present in about a half of patients presenting with ADHF treated with inotropes. Abnormal AP and abnormal transaminases were associated with specific clinical, biological, and prognostic features, including a short-term overmortality with increased transaminases but not with biological signs of cholestasis, in ADHF patients.

Research highlights? The use of multiple regression (MR), artificial neural network (ANN) and artificial neuro-fuzzy inference system (ANFIS) models, for the prediction of swell percent of soils, was described and compared. ? However the accuracies of ANN and ANFIS models may be evaluated relatively similar, it is shown that the constructed ANN models of RBF and MLP exhibit a high performance than ANFIS and multiple regression for predicting swell percent of clays. ? The performance comparison showed that the soft computing system is a good tool for minimizing the uncertainties in the soil engineering projects. ? The use of soft computing will also may provide new approaches and methodologies, and minimize the potential inconsistency of correlations. In the recent years, new techniques such as; artificial neural networks and fuzzy inference systems were employed for developing of the predictive models to estimate the needed parameters. Soft computing techniques are now being used as alternate statistical tool. Determination of swell potential of soil is difficult, expensive, time consuming and involves destructive tests. In this paper, use of MLP and RBF functions of ANN (artificial neural networks), ANFIS (adaptive neuro-fuzzy inference system) for prediction of S% (swell percent) of soil was described, and compared with the traditional statistical model of MR (multiple regression). However the accuracies of ANN and ANFIS models may be evaluated relatively similar. It was found that the constructed RBF exhibited a high performance than MLP, ANFIS and MR for predicting S%. The performance comparison showed that the soft computing system is a good tool for minimizing the uncertainties in the soil engineering projects. The use of soft computing will also may provide new approaches and methodologies, and minimize the potential inconsistency of correlations.

In this study, we report on the synthesis of silver nanoparticles (AgNPs) from the leaf extracts of Cynara scolymus (Artichoke) using microwave irradiation and the evaluation of its anti-cancer potential with photodynamic therapy (PDT). Silver nanoparticles formation was characterized by scanning electron microscopy with energy dispersive x-ray spectroscopy and Fourier transform infrared (FTIR) spectroscopy. Silver nanoparticles formation was also investigated the surface charge, particle size and distribution using zetasizer analysis. The cytotoxic effect of AgNPs and/or PDT was studied by MTT assay and migration by the scratch assay. The apoptotic inducing ability of the AgNPs and/or PDT was investigated by intracellular ROS analysis, antioxidant enzyme levels (SOD, CAT, GPx and GSH), Hoechst staining and Bax/Bcl-2 analysis using western blotting. The mean particle size of produced AgNPs was found 98.47±2.04 nm with low polydispersity (0.301±0.033). Zeta potential values of AgNPs show -32.3± 0.8 mV. These results clearly indicate the successful formation of AgNPs for cellular uptake. Mitochondrial damage and intracellular ROS production were observed upon treatment with AgNPs (10μg/mL) and PDT (0.5 mJ/cm2) showed significant reducing cell migration, expression of Bax and suppression of Bcl-2. Significantly, biosynthesized AgNPs showed a broad-spectrum anti-cancer activity with PDT therapy and therefore represent promoting ROS generation by modulating mitochondrial apoptosis induction in MCF7 breast cancer cells.

It is well known that most particle technology studies attempting to predict secondary properties based on primary properties such as size and shape begin with particle characterization, which means the process of determining the primary properties of particles in a wide spectrum from macro to nanoscale. It is a fact that the actual shape of engineering particles used in many industrial applications or processes is neglected, as they are assumed to be “homogeneous spheres” with easily understood behavior in any application or process. In addition, it is vital to control the granular materials used in various industries or to prepare them in desired shapes, to develop better processes or final products, and to make the processes practical and economical. Therefore, this review not only covers basic shape definitions, shape characterization methods, and the effect of particle shape on industrial material properties, but also provides insight into the development of the most suitably shaped materials for specific applications or processes (from nanomaterials used in pharmaceuticals to proppant particles used in hydrocarbon production) by understanding the behavior of particles.

Human genome sequencing was started to solve four letter algorithm of the genome to understand the complex nature of human metabolism. However, after completion of Human Genome Project many scientists realized that sequence information alone was not sufficient to solve the biochemical mechanism of the organism through classical approaches. Non-coding parts of the genome produce small conserved ribonucleic acids, miRNAs to control cellular and physiological processes [1, 2]. This breakthrough discovery directed researches to examine role of miRNA in cancer since miRNAs are involved in the development, cell differentiation, and regulation of cell cycle [3]. The first paper of the special issue provides general information of miRNA in cancer research. This thematic issue presents two computational approaches for miRNA identification and their role in cancer. The first one comes from Dr. Wang and his presented work predicts cancer-related miRNAs by using expression profiles in tumor tissues. The work relies on R-squared method to investigate miRNA-mRNA regulatory relationship between miRNAs and mRNAs from different tissues and predicts miRNAs associated with colon, prostate, pancreatic, lung, breast, bladder, and kidney cancer. The second paper by Allmer et al. examines miRNA-gene regulatory networks and their implications in cancer. Their work provides complex network of expression regulation and miRNAs' role in personalized medicine. miRNAs regulate tumor progression and metastasis by interacting with target genes in the cells. Exosomal shuttle small RNAs mediate cell to cell communication and regulate cancer metastasis. The regulation via heterotypic signals in the microenvironment was explained by Dr. Liang and Dr. Yu groups. The rest of the issue highlights the roles of miRNAs on multiple myeloma, non-small cell lung cancer, urological malignancies, myeloid leukemia, and laryngeal squamous cell carcinoma. Proliferation of bone marrow of malignant plasma cells leads multiple myeloma and this accounts for ten percent of the hematological tumors. miRNAs biology in multiple myeloma and miRNA study methods was discussed by Dr. Cho's group along with translational therapeutics. Dr. Papavassiliou highlights recent literature on miRNA-colerectal cancer. miRNA in colorectal cancer regulates tumor specific markers and these markers have oncogenic and tumor suppressive functions as other types of cancer. The paper overviews miRNA biomarkers extracted from plasma and fecal samples and also explain novel therapeutic applications by miRNA delivery and inhibition. Lung cancer is the leading cause of cancer deaths and non-small cell lung cancer shows poor prognosis and recurrence. Drug resistance limits current treatments and miRNA based gene therapy provides an alternative and attractive method for cancer inhibition since dysregulation of specific miRNAs involved in cancer cell resistance. Therefore, Dr. Giovannetti group explains current efforts in developing miRNA mimickers or antagomiRs for drug resistance mechanism. Dr. Ellinger and Dr. Müller present a comprehensive review on urological malignancies. The relationship between miRNAs and urological malignancies including prostate, renal cell carcinoma, testicular cancer, and bladder cancer and current literature were provided. The paper stimulates discussion on various bodily fluids and detectable miRNAs in patients' circulation. Thus, specific emphasis was given on circulating miRNAs and diagnostic-prognostic information. Last two papers of the issue provide roles of specific miRNAs in myeloid leukemia and laryngeal squamous cell carcinoma. Dr. Vasconcelos showed that overexpression of miR-128 decreased acute myeloid leukemia cells and increased the DNA damage. Laryngeal squamous cell carcinoma is the largest subgroup of squamous cell carcinoma in head and neck. And Dr. Guo investigated regulation and expression of three miRNAs; miR-21, miR-106b and miR-375. The paper reported these miRNAs as potential biomarkers for laryngeal squamous cell carcinoma diagnosis. miRNAs involved in several metabolic pathways and their roles are yet to be elucidated. This thematic issue presents current efforts in determination of miRNAs at different cancer types. Each day determined miRNAs are deposited to the databases and scientists give a lot of effort to understand the biogenesis of these small molecules. These scientific studies and approaches are expected to improve current technologies for therapy and biomarker detection.

Nutt. It is a representative of a class of diterpene taxanes, which are nowadays used as the most common chemotherapeutic agent against many forms of cancer. It possesses scientifically proven anticancer activity against, e.g., ovarian, lung, and breast cancers. The application of this compound is difficult because of limited solubility, recrystalization upon dilution, and cosolvent-induced toxicity. In these cases, nanotechnology and nanoparticles provide certain advantages such as increased drug half-life, lowered toxicity, and specific and selective delivery over free drugs. Nanodrugs possess the capability to buildup in the tissue which might be linked to enhanced permeability and retention as well as enhanced antitumour influence possessing minimal toxicity in normal tissues. This article presents information about paclitaxel, its chemical structure, formulations, mechanism of action, and toxicity. Attention is drawn on nanotechnology, the usefulness of nanoparticles containing paclitaxel, its opportunities, and also future perspective. This review article is aimed at summarizing the current state of continuous pharmaceutical development and employment of nanotechnology in the enhancement of the pharmacokinetic and pharmacodynamic features of paclitaxel as a chemotherapeutic agent.

A systematic study of the zeta potential and isoelectric point of biomolecules such as BSA, amylase, invertase and phenylalanine has been performed in various salt solutions for 0.001 M and 0.1 M ionic strenght. Chloride salts; KCl, NaCl, CaCl2, and MgCl2 and potassium salts; KCl, KNO3, K2CO3 and K2SO4 were used to test the effects of cations and anions on the zeta potential of biomolecules, respectively. The absolute zeta potential of biomolecules decreased with increasing ionic strenght; divalent ions had a profound influence on reducing zeta potential than monovalent ions. The cations were less effective at low pH and became more effective at high pH for both of ionic strength. Anions possessed a more potent effect on the zeta potential at high and low pH except for 0.1 M salts concentration at high pH. In general, isoelectric point of biomolecules changed with ionic environment. In addition, the effects of ions on the zeta potential of biomolecules were also interpreted for Hofmeister series.

Compared with the conventional DFT approach, SCC-DFTB method is more effective to deal with the adsorption issues of large size organic corrosion inhibitors on metal surface.