Content Analysis of the Papers in 2015 High-Impact A-Class SSCI Journals

It was aimed in this study to reveal the general tendency of studies in the field of education by examining the papers in the high-impact A-class SSCI journals, to which qualified papers are accepted from all round the world, in terms of their dependent-independent variables, sample or study groups, research designs, data collection instruments, and data analysis techniques. The descriptive survey model was used in the research. The population of the research was all the journals surveyed in the field of educational sciences by SSCI. The journals and papers examined were selected with the purposive sampling method. 169 papers from six journals were subjected to examination within the scope of the research. Descriptive analysis and content analysis methods were used for analyzing the data. It was consequently seen that the papers used dependent variable of “student” the most which was followed by “teacher.” The most studied variable along with “student” was “academic performance.” It was found that a quite large number of dependent variables were used in the papers examined. It can be understood that studies on students among all study groups occupied the largest place, which was followed by teachers. It was seen that quantitative data analyses and experimental research studies was addressed more in the papers. Several documents and tests were mostly preferred as data collection instruments. It was noticed that the most used data analysis method was the regression analysis. Finally, some recommendations were developed in accordance with the research results. Keywords: Content analysis high-impact A-Class SSCI journals, dependent-independent variables, sample or study groups, research designs, data collection instruments, data analysis technique

Metabolic Engineering of <em>Saccharomyces cerevisiae</em> for Industrial Biotechnology

Saccharomyces cerevisiae is an important and popular host for production of value-added molecules such as pharmaceutical ingredients, therapeutic proteins, chemicals, biofuels and enzymes. S. cerevisiae, the baker’s yeast, is the most used yeast model as there is an abundance of knowledge on its genetics, physiology and biochemistry, and also it has numerous applications in genetic engineering and fermentation technologies. There has been an increasing interest in developing and improving yeast strains for industrial biotechnology. Metabolic engineering is a tool to develop industrial strains by manipulating yeast metabolism to enhance the production of value-added molecules. This chapter reviews the metabolic engineering strategies for developing industrial yeast strains for biotechnological applications and highlights recent advances in this field such as the use of CRISPR/Cas9

Student Centered Education Scale: A Validity and Reliability Study

The purpose of the study is to develop a valid and reliable scale to measure the teachers&rsquo; levels of student-centered education practices. The Exploratory Factor Analysis sample included a total of 426 teachers and the Confirmatory Factor Analysis of the scale was conducted on a total of 160 teachers working in the province of Duzce during the spring term of 2014-2015 education year. Exploratory Factor Analysis was performed to test the construct validity of the scale and the model was tested through the Confirmatory Factor Analysis. For the reliability, Cronbach&rsquo;s Alpha internal coefficient was calculated and item analysis was performed based on the corrected item total correlation. The final form of the scale included 32 items and one dimension. These 32 items explained 40.04% of the total variance. The results of the item total correlation analysis indicated that none of the item was below 0.30 and the lowest item correlation coefficient was 0.51. Cronbach&rsquo;s Alpha was found to be 0.95 for the internal consistency of the scale. The reliability and validity results for the Student-Centered Education Scale suggest that this scale is a reliable and valid tool to measure the levels of student-centered educational practices among teachers

A novel prenatal index predicting the probability of neonatal intensive care in pregnants: amnion progesterone receptor to alfa fetoprotein rate

Introduction: Amniocentesis (AC) is the most used interventional procedure for prenatal diagnosis. The study aims to evaluate the pregnancy outcomes undergoing AC and the potential of amnion progesterone receptor (aPR) to alfa fetoprotein (AFP) rate for predicting the probability of neonatal intensive care unit (NICU). Material and methods: This prospective cross-sectional study population consisted of 85 pregnant women who underwent mid-trimester AC. All cases were screened by ultrasound before AC. Maternal venous and amniotic samples were obtained simultaneously to evaluate the serum progesterone (sPRG), aPR, and aAFP and analyzed with patient results. Results: Unlike sPRG and aAFP, aPR showed a positive correlation with NICU and a negative correlation with parity. In linear regression, the aPR-AFP rate showed strong linearity with NICU and parity. In an aPR-AFP rate analysis, we saw a strong predictivity for NICU compared to the other three parameters. It presented 73.4% specificity and 79% sensitivity at 0.0075 cut-off (AUC: 0.78; p = 0.003; 95% CI: 0.608–0.914). Conclusions: Evaluating the PR either alone or in a rational combination with AFP will provide physicians with valuable information about the advanced process of pregnancy and postpartum complications. The physicians might use the aPR-AFP rate to predict NICU potential for pregnancy and need further studies to make more vital predictions on postpartum complications

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P &lt; 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe

Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (μ̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ¯ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ¯ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),μ̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| &lt; 0.03 at 95% confidence level. [Figure not available: see fulltext.