Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching the Turkish language to foreigners at higher education level in Northern Cyprus: An evaluation based on self-perceived dominant intelligence types, twenty-first-century skills and learning technologies

Introduction There are many foreign students in higher education in Northern Cyprus. Both the academic and life skills of these students depend on attaching the necessary importance to their Turkish language teaching. The goal of this study is to examine how university students employ learning technology, twenty-first-century abilities, and perceived categories of intelligence in the process of learning a foreign language. Methods In line with the quantitative research design, this study utilized a descriptive approach. Purposeful and convenience sampling methods were used to create the study sample. As a result, the institution in Northern Cyprus with the largest international student body was chosen. At this university, one of the authors of this study has been employed, and Turkish is the language of teaching. The study sample consisted of 431 university students who took Turkish as a foreign language in the 2021–2022 academic year at the selected university. Results The results of the study revealed a weak yet statistically significant correlation between twenty-first-century skills and usage of foreign language-learning technologies. Additionally, students' twenty-first-century skill scores differed significantly, whereas their foreign language-learning technology scale scores did not match their self-perceived intelligence types. Conclusion The research's findings indicate that students in higher education possess twenty-first-century skills. Based on this finding, it is possible to engage students in the courses and accomplish effective foreign language acquisition if foreign language education is carried out in accordance with modern methodologies and based on twenty-first-century abilities. It has been revealed in this study that it is important to include social learning rather than individual and competitive learning in foreign language education classes.
Comparing the predictive performance of different lymph node staging systems for postoperative overall survival in patients with ampullary carcinoma

Aim This study was to analyze and compare the predictive performance of the 7th and the 8th edition American Joint Committee on Cancer (AJCC) N staging system, lymph nodes ratio (LNR) and log odds of positive lymph node (LODDS) for the survival of patients with ampullary carcinomas (ACs). Method This retrospective cohort study included patients with primary ACs after surgery from the Surveillance, Epidemiology, and End Results (SEER) 2004–2015. Univariate and multivariate Cox proportional hazard models were used. The study population was divided into a training set and a testing set in a ratio of 7–3. The C-index and area under the curve (AUC) were used to compare the predictive performance of the four staging on overall survival (OS) in the training set and the testing set. Results A total of 7,480 patients with primary ACs (1,178 survived and 1,128 dead) were in this study. The average follow-up time was 41.1 months. N1 stage and N2 stage of the 8th edition AJCC N staging system, LNR staging (0–0.3), LNR (>0.3), LODDS (−2.4 to −0.8) and LODDS (>−0.8) were associated with OS in AC patients after adjusting for age, race, pT stage, tumor size, grade, radiation, and insurance. The C-index of the 7th AJCC N staging was significantly lower than the C-index of the 8th AJCC N staging in the training set [0.608 vs. 0.629, P < 0.001] and testing set [0.635 vs. 0.658, P < 0.001]. The C-index of the LODDS staging was significantly higher than the C-index of the 8th AJCC N staging in the training set [0.641 vs. 0.629, P = 0.034] and testing set [0.671 vs. 0.658, P = 0.034]. LODDS staging may be a potential predictor of OS at 6 months [AUC = 0.687], 12 months (AUC = 0.692), and 48 months (AUC = 0.709), and LNR staging (AUC = 0.655) may be a potential predictor of OS at 24 months in AC patients. The predictive ability of LNR staging and LODDS staging were also found in different subgroups. Conclusion The LNR and LODDS staging systems' predictive performance for OS of AC patients were superior to the 8th edition AJCC N staging system, especially in patients ages ≥65 or with higher tumor grade (grade II and III). The LNR staging and the LODDS staging were potential predictors for 24-month OS, and 6, 12, 24 and 48-month OS, respectively.
Effect of genotype of growing rabbits on productive performance with special reference to residual feed intake at hot temperature

Objective Better feed efficiency can be achieved by selecting rabbit genotypes with lower residual feed intake (RFI) under high ambient temperatures. Methods Two genotypes of rabbits (Jabali, Saudi local breed and imported, Spanish V-line) were used to derive RFI and to investigate the relationship between RFI and productive traits. In total, 250 animals (125 each) were housed in individual wire mesh cages in a semi-closed rabbitry. Growth performance, feed criteria, carcass evaluation, biochemical blood analysis, and immune responses were determined. Results Superiority in growth performance, feed efficiency, carcass characteristics, and cellular immunity was recorded in the Jabali breed compared to the V-line genotype. According to regression analysis, a significant effect of daily body weight gain was found, upon computing the expected feed intake in both genotypes. Moreover, mid-body weight0.75 had a significant effect only in the Jabali breed. Positive correlation coefficients between RFI and dry matter feed intake or feed conversion ratio were found. The same trend in this relationship between RFI and productive traits was observed in some cases for both genotypes. An opposite trend in correlations was observed in the studied genotypes for some traits. Conclusion The results suggest that the relationship between RFI and productive traits must be taken into consideration in rabbit breeding programs under the prevailing environment. However, further studies are required to investigate the effect of rabbit genotype and environmental factors on computing RFI.
Characterization and Biological Activities of In Vitro Digested Olive Pomace Polyphenols Evaluated on Ex Vivo Human Immune Blood Cells

Olive pomace (OP) represents one of the main by-products of olive oil production, which still contains high quantities of health-promoting bioactive compounds. In the present study, three batches of sun-dried OP were characterized for their profile in phenolic compounds (by HPLC-DAD) and in vitro antioxidant properties (ABTS, FRAP and DPPH assays) before (methanolic extracts) and after (aqueous extracts) their simulated in vitro digestion and dialysis. Phenolic profiles, and, accordingly, the antioxidant activities, showed significant differences among the three OP batches, and most compounds showed good bioaccessibility after simulated digestion. Based on these preliminary screenings, the best OP aqueous extract (OP-W) was further characterized for its peptide composition and subdivided into seven fractions (OP-F). The most promising OP-F (characterized for its metabolome) and OP-W samples were then assessed for their potential anti-inflammatory properties in ex vivo human peripheral mononuclear cells (PBMCs) triggered or not with lipopolysaccharide (LPS). The levels of 16 pro-and anti-inflammatory cytokines were measured in PBMC culture media by multiplex ELISA assay, whereas the gene expressions of interleukin-6 (IL-6), IL-10 and TNF-α were measured by real time RT-qPCR. Interestingly, OP-W and PO-F samples had a similar effect in reducing the expressions of IL-6 and TNF-α, but only OP-W was able to reduce the release of these inflammatory mediators, suggesting that the anti-inflammatory activity of OP-W is different from that of OP-F.
Integration-free interval doubling for Riccati equation solutions

Starting with certain identifies obtained by Reid [6] and Redheffer [11] for general matrix Riccati equations (RE's), we give various algorithms for the case of constant coefficients. The algorithms are based on two ideas-first, relate the RE solution with general initial conditions to anchored RE solutions; and second, when the coefficients are constant, the anchored solutions have a basic shift-invariance property. These ideas are used to construct an integration-free, superlinearly convergent iterative solution to the algebraic RE. Preliminary numerical experiments show that our algorithms, arranged in square-root form, provide a method that is numerically stable and appears to be competitive with other methods of solving the algebraic RE.
Mordell-Weil groups of elliptic threefolds and the Alexander module of plane curves

We show that the degree of the Alexander polynomial of an irreducible plane algebraic curve with nodes and cusps as the only singularities does not exceed ${5 \over 3}d-2$ where $d$ is the degree of the curve. We also show that the Alexander polynomial $\Delta_C(t)$ of an irreducible curve $C=\{F=0\}\subset \mathbb P^2$ whose singularities are nodes and cusps is non-trivial if and only if there exist homogeneous polynomials $f$, $g$, and $h$ such that $f^3+g^2+Fh^6=0$. This is obtained as a consequence of the correspondence, described here, between Alexander polynomials and ranks of Mordell-Weil groups of certain threefolds over function fields. All results also are extended to the case of reducible curves and Alexander polynomials $\Delta_{C,\epsilon}(t)$ corresponding to surjections $\epsilon: \pi_1(\mathbb P^2\setminus C_0 \cup C) \rightarrow \mathbb Z$, where $C_0$ is a line at infinity. In addition, we provide a detailed description of the collection of relations of $F$ as above in terms of the multiplicities of the roots of $\Delta_{C,\epsilon}(t)$. This generalization is made in the context of a larger class of singularities i.e. those which lead to rational orbifolds of elliptic type.
Cutaneous Leishmaniasis: Associated Risk Factors and Prevention in Hubuna, Najran, Saudi Arabia

Background Many countries are currently affected by leishmaniasis, and cutaneous leishmaniasis is ranked among the ten most neglected diseases. The aim of this study was to determine the risk factors related to cutaneous leishmaniasis and preventive measures among people living in Hubuna, Najran, Saudi Arabia. Methods A community-based cross-sectional survey was conducted from January to October 2022. A convenience sampling technique was used, with 396 individuals invited to participate in the current study and 391 included. A self-administered questionnaire was utilized for collecting data. Descriptive analysis was used for risk factors and preventive measures, while χ2 tests were used for determining associations with risk factors. Results Among participants, 38.1% (n=149) reported having cutaneous leishmaniasis clinically diagnosed and under treatment. Age 0–10 years was found to be associated significantly with cutaneous leishmaniasis infection (AOR 3.08, 95% CI 1.6–6.4; P=0.002) compared to other groups. A significant association was noted too for those residing in/around planted areas versus those who were not (AOR 1.18, 95% CI 0.13–2.24; P<0.001). In terms of occupation, farming was significantly associated with cutaneous leishmaniasis (AOR 2.54, 95% CI 1.15–3.76; P=0.010). No significant associations were observed in regard to sex (AOR 1.4, 95% CI 0.7–1.6; P=0.11), education (P=0.072), or preventive measures used (P>0.05). Conclusion The cutaneous leishmaniasis endemicity level in Hubuna was high. Several socioeconomic and environmental factors contribute enormously to the spread of the disease in the area. Further investigation of risk factors of cutaneous leishmaniasis all over the country and setting up appropriate interventions to prevent its spread are recommended.
Bright–dark pair in passively mode-locked fiber laser based on graphene

A bright–dark laser pair in a fiber ring cavity, mode-locked by graphene, is demonstrated. An increasing pump strength, bright–dark laser pair centered at 1 565.7 nm with an FWHM of 1 nm is formed due to the cross coupling of two polarization components.
A global shallow‐water numerical model based on the semi‐lagrangian advection of potential vorticity

A global shallow-water primitive equation model based on the semi-Lagrangian advection of potential vorticity is presented. A modification of the basic advection scheme needed to stabilize Rossby waves is introduced. the divergence and continuity equations are the remaining governing equations. A two-time-level semi-Lagrangian semi-implicit numerical scheme that avoids forward extrapolation of non-linear terms is used. This leads to a set of non-linear implicit equations to be solved at each time-step. the wind field is expressed in terms of a streamfunction and velocity potential, and a spatial discretization based on second-order finite differences on an unstaggered grid is used. the implicit equations are solved simultaneously using a non-linear multigrid method. The model is integrated for periods of up to 50 days at various resolutions, using a variety of initial conditions including real data. Comparisons with an existing semi-Lagrangian finite-difference shallow-water model and an Eulerian spectral shallow-water model are carried out. the new model is found to integrate stably and efficiently, and to require no noise suppressors other than the inherent diffusivity associated with the interpolations. the model gives results that are, in general, very close to those of the comparison models, but a case of highly non-linear flow (where the true solution is unknown) is presented in which it gives results that stand notably apart.
Enhanced Wound Healing Potential of Spirulina platensis Nanophytosomes: Metabolomic Profiling, Molecular Networking, and Modulation of HMGB-1 in an Excisional Wound Rat Model

Excisional wounds are considered one of the most common physical injuries. This study aims to test the effect of a nanophytosomal formulation loaded with a dried hydroalcoholic extract of S. platensis on promoting excisional wound healing. The Spirulina platensis nanophytosomal formulation (SPNP) containing 100 mg PC and 50 mg CH exhibited optimum physicochemical characteristics regarding particle size (598.40 ± 9.68 nm), zeta potential (−19.8 ± 0.49 mV), entrapment efficiency (62.76 ± 1.75%), and Q6h (74.00 ± 1.90%). It was selected to prepare an HPMC gel (SPNP-gel). Through metabolomic profiling of the algal extract, thirteen compounds were identified. Molecular docking of the identified compounds on the active site of the HMGB-1 protein revealed that 12,13-DiHome had the highest docking score of −7.130 kcal/mol. SPNP-gel showed higher wound closure potential and enhanced histopathological alterations as compared to standard (MEBO® ointment) and S. platensis gel in wounded Sprague-Dawley rats. Collectively, NPS promoted the wound healing process by enhancing the autophagy process (LC3B/Beclin-1) and the NRF-2/HO-1antioxidant pathway and halting the inflammatory (TNF-, NF-κB, TlR-4 and VEGF), apoptotic processes (AIF, Caspase-3), and the downregulation of HGMB-1 protein expression. The present study’s findings suggest that the topical application of SPNP-gel possesses a potential therapeutic effect in excisional wound healing, chiefly by downregulating HGMB-1 protein expression.
Multi-Parametric Cardiac Magnetic Resonance for Prediction of Heart Failure Death in Thalassemia Major

We assessed the prognostic value of multiparametric cardiovascular magnetic resonance (CMR) in predicting death from heart failure (HF) in thalassemia major (TM). We considered 1398 white TM patients (30.8 ± 8.9 years, 725 women) without a history of HF at baseline CMR, which was performed within the Myocardial Iron Overload in Thalassemia (MIOT) network. Iron overload was quantified by using the T2* technique, and biventricular function was determined with cine images. Late gadolinium enhancement (LGE) images were acquired to detect replacement myocardial fibrosis. During a mean follow-up of 4.83 ± 2.05 years, 49.1% of the patients changed the chelation regimen at least once; these patients were more likely to have significant myocardial iron overload (MIO) than patients who maintained the same regimen. Twelve (1.0%) patients died from HF. Significant MIO, ventricular dysfunction, ventricular dilation, and replacement myocardial fibrosis were identified as significant univariate prognosticators. Based on the presence of the four CMR predictors of HF death, patients were divided into three subgroups. Patients having all four markers had a significantly higher risk of dying for HF than patients without markers (hazard ratio (HR) = 89.93; 95%CI = 5.62–1439.46; p = 0.001) or with one to three CMR markers (HR = 12.69; 95%CI = 1.60–100.36; p = 0.016). Our findings promote the exploitation of the multiparametric potential of CMR, including LGE, for better risk stratification for TM patients.
A BIOLOGICAL PROCESS SUBJECT TO NONCOMPETITIVE SUBSTRATE INHIBITION IN A GENERALIZED FLOW REACTOR

Abstract We analyse the steady-state operation of a continuous flow bioreactor in which the biochemical reaction is governed by noncompetitive substrate inhibition (Andrews kinetics). A generalized reactor model is used in which the well-stirred bioreactor and the idealized membrane bioreactor are special cases. As generic properties of systems subject to substrate inhibition have been obtained by other authors, we discuss reaction engineering features specific to Andrews kinetics.
A New Stable Algorithm to Compute Hankel Transform Using Chebyshev Wavelets

A new stable numerical method, based on Chebyshev wavelets for numerical evaluation of Hankel transform, is proposed in this paper. The Chebyshev wavelets are used as a basis to expand a part of the integrand, r f (r), appearing in the Hankel transform integral. This transforms the Hankel transform integral into a Fourier-Bessel series. By truncating the series, an efficient and stable algorithm is obtained for the numerical evaluations of the Hankel transforms of order ν>−1. The method is quite accurate and stable, as illustrated by given numerical examples with varying degree of random noise terms eθi added to the data function f (r), where θi is a uniform random variable with values in [−1,1]. Finally, an application of the proposed method is given for solving the heat equation in an infinite cylinder with a radiation condition. AMS subject classifications: 65R10
Experimental demonstration of increased organic light emitting device output via volumetric light scattering

A set of experimental measurements of scattering films and organic light emitting devices (OLEDs) is presented. We measure the reflectance, transmission, and emission characteristics of scattering media and OLED devices separately, and use this data as input into a simple radiative transfer model to predict the effect of light scattering on OLED light output. We find quantitative agreement between the radiative transfer model predictions and experimental results. We find that the introduction of volumetric scattering mechanisms increases the output of OLEDs by as much as 40%, which corresponds to over 70% of the light within a typical glass substrate being coupled to air.
Temperature effects on the elastic properties of hysteretic elastic media: Modeling and simulations

Different materials with mesoscopic characteristics (e.g., defects or intergrain regions) have been shown to share a peculiar elastic behavior when subject to temperature variations. We present here a simple model based on the description of the mesoscopic features as bistate bond regions that connect elastic portions described by the traditional Landau thermoelastic theory. We apply our model to simulate resonance frequency experiments in order to analyze the effects of temperature changes on the elastic properties of materials and reproduce part of the phenomenology observed concerning the conditioning effect and the recovery of the system to its original state after a thermal shock.
A Maximum Likelihood Approach for Multisample Nonlinear Structural Equation Models With Missing Continuous and Dichotomous Data

Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation. However, discrete nonnormal data and missing data are rather common, and sometimes it is necessary to incorporate nonlinear structural equations for assessing the impact of nonlinear terms of the exogenous latent variables to the endogenous latent variables. Moreover, to study the behaviors of different populations, it is necessary to extend from a single sample model to a multisample model. In this article, a maximum likelihood (ML) approach is developed for analyzing a multisample nonlinear structural equation model, in the context of mixed continuous and dichotomous data that involve data that are missing at random. The article demonstrates the newly developed methods for estimation and model comparison by a simulation study, a synthetic data application, and a real application to study latent psychological constructs of job attitude, emotion, and benefit attitude that are related to organizational and management research.
Tensor products of quaternion algebras

Two quaternion division algebras have a common quadratic subfield if their tensor product contains zero-divisors. Let Q, and Q2 be quaternion division algebras over a field K. If Q,, Q2 have a common quadratic subfield, it is evident that QlCQ2 contains zerodivisors (all tensor products are taken over K). In this note we shall prove that the converse is true. THEOREM. Let Q1, Q2 be quaternion division algebras with center K. Suppose that Q1 S Q2 is not a division algebra. Then Q1 and Q2 possess a common quadratic subfield. PROOF. Let K(u) be a separable quadratic subfield of Q2, and let the nontrivial automorphism of K(u) over K be given by u-*u'. We complete a generation of Q2 with an element v such that uv=vu'. We have that uu'=a and V2=b, where a and b are nonzero elements of K. Write L=Q1l K(u). If L is not a division algebra, then Q1 contains a subfield isomorphic to K(u), and we are done. So the proof need only continue on the assumption that L is a division algebra. We have that Ql Q2 is the vector space direct sum of L and Lr. The given zero-divisor thus has the form p+qv with p,4 E L. Necessarily q? O, and we can renormalize to make q=1. Write p=c+du, with c, de Q1, and set p*=c+du'. Note that u and v commute with c and d. Thus we have Ip =p*v (and also pv=rp*). Hence (p+v)(p*-r)=pp* 2=pp*-b. This element is a zero-divisor and lies in L; hence it is 0. So b =pp* = (c + du)(c + du') = c2 + d2a + dcu + cdu' = c2 + d2a + (dc cd)u + cd(u + u'). Received by the editors January 6, 1972. AMS 1970 subject classiications. Primary 16A40, 16A46. I Research supported by National Science Foundation grant GP-30242. * This paper is being published posthumously. Professor Albert died on June 6, 1972. American Mathematical Society 1972 65 This content downloaded from 207.46. 13.51 on Sun, 19 Jun 2016 06:03:31 UTC All use subject to http://about.jstor. org/terms
Digital cells radiation hardness study of TPSCo 65 nm CIS technology by designing a ring oscillator

The CPPM group has long been designing and testing HV-CMOS blocks to complete monolithic chips in various technologies (TJ180, LF150, AMS) in the framework of several collaborations. In 2020, we participated in the MLR1 run in TowerJazz 65 nm technology through CERN’s EP-R&D WP1.2, by designing a ring oscillator test chip. Its aim is to characterize the standard cells of this technology and evaluate their radiation hardness against TID. There were 48 ring oscillators formed of different cells with different sizes and two thresholds. In 2022, characterization, temperature, X-ray irradiation (up to more than 500 Mrad) tests and annealing took place, leading to encouraging results presented here.