Miracle-dz/UniFAR-FTUs huggingface dataset:
OGCMAC: A Novel OFDM Based Group Contention MAC for VANET Control Channel

The IEEE 1609.4 standard suggests that the control channel (CCH) should be devoted to the beacon delivery, where the multiple access control (MAC) plays an important role in scheduling the network resources to multiple nodes. This paper proposes a novel OFDM-based group contention MAC (OGCMAC) for vehicular ad hoc networks (VANETs), in which a new CCH architecture, a modified multi-carrier burst contention (MCBC) and a group contention strategy are established. The CCH architecture is proposed to reduce the resource consumption of contention windows (CWs). Based on the proposed architecture, MCBC is modified to adapt to VANETs. The proposed CCH architecture supports parallel contention mechanisms and allows losers to change their target resource blocks (RBs) during the modified MCBC. Furthermore, to accelerate the RB assignment, a group contention strategy is developed by dividing the entire frame into several groups with different sizes. With the objective to maximize the ratio of the RBs allocated free of collisions within a single frame, a greedy group partition algorithm is proposed to determine the appropriate group sizes according to the MCBC capability. Evaluations are done to validate the proposed mechanism. Results show that OGCMAC achieves the highest throughput among all the evaluated MACs, because of its high channel usage rate. RBs are allocated faster by employing the proposed optimal group contention policy. It is also shown that the proposed greedy group partition algorithm can reduce the resource waste by properly adopting the existing CWs without extra resource consumption.
Evaluation of fatty acid profiles and mineral content of grape seed oil of some grape genotypes

The grape seeds of seven grape cultivars (Alphonse Lavallée, Muscat of Hamburg, Alicante Bouschet, Razakı, Narince, Öküzgözü and Horoz karası) and two rootstocks (Salt creek and Cosmo 2) were evaluated in terms of quality properties including protein, oil, moisture, ash, fatty acid composition and mineral contents. The oil contents were found to be different for each cultivar, which ranged from 10.45% (Razakı) to 16.73% (Salt creek). Saturated fatty acid values were less than the values of monounsaturated fatty acids and polyunsaturated fatty acids in all genotypes. Among the identified fatty acids, linoleic acid (C18:2) was the predominant fatty acid and followed by oleic acid (C18:1) and palmitic acid (C16:0) in all varieties. The results of mineral analysis showed that all varieties contained considerable amount of macro and micro elements. These grape seeds could be used as a food supplement to improve the nutritive value of the human diet.
Short-circuit safe operating area of superjunction MOSFETs

Superjunction (SJ) Si-MOSFET power transistors have a larger active volume and thus a higher heat capacitance than wide-bandgap semiconductors with the same voltage and current rating. This could allow for higher power dissipation levels and thus increased short-circuit robustness. Therefore, this paper investigates the safe operating area (SOA) of a state-of-the-art SJ-MOSFET in short-circuit operation with high drain-source voltages by both measurements and simulations. The observed behavior will be discussed and explained using a simple physics-based simulation model, taking both the electrical and the thermal behavior of the device into account. The obtained results are useful to assess the applicability of SJ-MOSFETs for emerging application. Moreover, they can also serve as a valuable starting point for further device improvements.
Estimation of photovoltaic power generation output based on solar irradiation and frequency classification

In this paper, a method to estimate total power output of clustered photovoltaic power generation system (PV systems) is proposed. The proposed method make use of the realtime communication between pyranometer, current/voltage sensors, and control center to estimate power output of PV systems based on solar irradiation and power flow in the feeder, where PV systems are connected. The proposed method is divided into low-frequency and high-frequency component estimations. The low-frequency component is estimated based on the correlation between solar irradiation and energy generated from PV systems. On the other hand, the high-frequency component is estimated based on the frequency classification of power flow. Performance of the proposed method is confirmed based on real data from Demonstrative Project on Grid-Interconnection of Clustered Photovoltaic Power Generation Systems supported by New Energy and Industrial Technology Development Organization, Japan. Results show that the error of estimation is approximately 3–4% of installed capacity of PV system.
Synthesis and Characterization of Carbon Nanofibers Produced by the Floating Catalyst Method

A novel method is presented to synthesize herringbone-stacked carbon nanofibers in high selectivity using cobaltocene as the catalytic precursor. Thiophene was essential for carbon nanofiber growth while hydrogen was used as the carrier gas. Selectivity close to 100% was achieved using cobaltocene, thiophene, and hydrogen reacted at 1100 °C. The conversion rate of the nanofibers collected in the cold trap was approximately 1.5 wt % of the initial products. The effect of the catalytic precursor temperature, thiophene, and acetylene was investigated, with reference to nanofiber diameter and selectivity.
A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma.

BACKGROUND Several thyroid ultrasound (TUS) findings have been associated with an increased risk for thyroid cancer; however, there is no consensus as to the format and style for reporting the results of TUS. The objective of this study was to discover the features indicative of malignancy in thyroid nodules based on TUS, generate an equation using these features that would be predictive of malignancy in thyroid nodules, and stratify the results of this equation into TUS categories reflecting the probability of malignancy. METHODS We obtained odds ratios of TUS findings indicative of malignancy and probability of malignancy for each nodule as determined by logistic regression analysis of ultrasound (US) findings in 1694 patients who had US-guided fine-needle aspiration biopsy. We then generated an equation to predict the probability of malignancy based on TUS and developed categories ranging from lowest to highest probability of malignancy. We evaluated the reliability of this equation and the categories using cytology and histopathology information regarding malignancy in the thyroid nodules. RESULTS We characterized 12 aspects of thyroid nodules as seen on TUS and developed an equation to predict P(us), the probability of a nodule being malignant based on these US findings. The equation was P(us) = 1/(1 + e(-z)), where e is the mathematical constant 2.71828 and z is the logit of malignant thyroid nodule. P(us) was stratified into five categories based on the probability of a nodule being malignant as indicated by the findings (TUS 1, benign; TUS 2, probably benign; TUS 3, indeterminate; TUS 4, probably malignant; TUS 5, malignant). There was a significant correlation between the cytological category and the TUS 1 through TUS 5 categories (r = 0.491, p < 0.001). CONCLUSIONS We propose an equation to predict the probability of malignancy in thyroid nodules based on 12 features of thyroid nodules as noted on TUS. This equation, and the stratification of its results into categories, should be useful in reporting the findings of US for thyroid nodules and in guiding management decisions.
The C-Terminal Repeat Domains of nsP3 from the Old World Alphaviruses Bind Directly to G3BP

ABSTRACT The Old World alphaviruses block stress granule assembly by sequestration of RasGAP SH3-domain binding protein (G3BP). Here, we show that the proline-rich sequences in the hypervariable domain of nonstructural protein 3 (nsP3) of both Semliki Forest virus and Chikungunya virus were dispensable for binding to G3BP. nsP3 variants with or without this domain colocalized with G3BP. Furthermore, we show that the C-terminal repeat motifs of nsP3 were sufficient for G3BP binding.
Myocardial perfusion modeling using MRI

In the present study, it is shown that it is possible to quantify myocardial perfusion using magnetic resonance imaging in combination with gadolinium diethylenetriaminopentaacetic acid (Gd‐DTPA). Previously, a simple model and method for measuring myocardial perfusion using an inversion recovery turbo‐FLASH (fast low‐angle shot) sequence and Gd‐DTPA has been presented. Here, an extension of the model is presented taking into account fast and slow water exchange between the compartments, enabling the calculation of the unidirectional influx constant (KJ for Gd‐DTPA, the distribution volume of Gd‐DTPA (A), the vascular blood volume (Vb), and the time delay through the coronary arteries (AT). The model was evaluated by computer simulation and used on experimental results from seven healthy subjects. The results in the healthy volunteers for a region of interest placed in the anterior myocardial wall were (mean ± SD) Ki=54 ± 10 ml/100 g/min, λ=30 ± 3 ml/100 g, Vb=9 ± 2 ml/100 g, ΔT=3.2 ± 1.1 s. These results are in good agreement with similar results obtained by other methods.
The Cyclin-Dependent Kinase Inhibitor Orysa;KRP1 Plays an Important Role in Seed Development of Rice1[W]

Kip-related proteins (KRPs) play a major role in the regulation of the plant cell cycle. We report the identification of five putative rice (Oryza sativa) proteins that share characteristic motifs with previously described plant KRPs. To investigate the function of KRPs in rice development, we generated transgenic plants overexpressing the Orysa;KRP1 gene. Phenotypic analysis revealed that overexpressed KRP1 reduced cell production during leaf development. The reduced cell production in the leaf meristem was partly compensated by an increased cell size, demonstrating the existence of a compensatory mechanism in monocot species by which growth rate is less reduced than cell production, through cell expansion. Furthermore, Orysa;KRP1 overexpression dramatically reduced seed filling. Sectioning through the overexpressed KRP1 seeds showed that KRP overproduction disturbed the production of endosperm cells. The decrease in the number of fully formed seeds was accompanied by a drop in the endoreduplication of endosperm cells, pointing toward a role of KRP1 in connecting endocycle with endosperm development. Also, spatial and temporal transcript detection in developing seeds suggests that Orysa;KRP1 plays an important role in the exit from the mitotic cell cycle during rice grain formation.
Population Approach To Analyze the Pharmacokinetics of Free and Total Lopinavir in HIV-Infected Pregnant Women and Consequences for Dose Adjustment

ABSTRACT The aims of this study were to describe the unbound and total lopinavir (LPV) pharmacokinetics in pregnant women in order to evaluate if a dosing adjustment is necessary during pregnancy. Lopinavir placental transfer is described, and several genetic covariates were tested to explain its variability. A total of 400 maternal, 79 cord blood, and 48 amniotic fluid samples were collected from 208 women for LPV concentration determinations and pharmacokinetics analysis. Among the maternal LPV concentrations, 79 samples were also used to measure the unbound LPV concentrations. Population pharmacokinetics models were developed by using NONMEM software. Two models were developed to describe (i) unbound and total LPV pharmacokinetics and (ii) LPV placental transfer. The pharmacokinetics was best described by a one-compartment model with first-order absorption and elimination. A pregnancy effect was found on maternal clearance (39% increase), whereas the treatment group (monotherapy versus triple therapy) or the genetic polymorphisms did not explain the pharmacokinetics or placental transfer of LPV. Efficient unbound LPV concentrations in nonpregnant women were similar to those measured during the third trimester of pregnancy. Our study showed a 39% increase of maternal total LPV clearance during pregnancy, whereas unbound LPV concentrations were similar to those simulated in nonpregnant women. The genetic polymorphisms selected did not influence the LPV pharmacokinetics or placental transfer. Thus, we suggest that the LPV dosage should not be increased during pregnancy.
ACADEMIC ADVISORY SUPPORT

The ability to recognize students’ weakness and solving any problem may confront them in timely fashion is always a target of all educational institutions. This study was designed to explore how can predictive and statistical analysis support the academic advisor’s work mainly in analysis students’ progress. The sample consisted of a total of 249 undergraduate students; 46% of them were Female and 54% Male. A one-way analysis of variance (ANOVA) and t-test were conducted to analysis if there was different behaviour in registering courses. Predictive data mining is used for support advisor in decision making. Several classification techniques with 10-fold Cross-validation were applied. Among of them, C4.5 constitutes the best agreement among the finding results.
Ontology-based Multilingual Search in Recommendation Systems

The information on the web is not only published by an original language, but also expressed in many different languages. Almost recommendation systems also lack mechanisms to support users overcoming the language problem. In these systems, it is difficult to search a specific value (e.g., movie artist, movie title in movie domain) by using native language. In this paper, we present our approach to deal with this problem. We develop an ontology-based multilingual recommendation system using integrated data from Linked Open Data to support user with in different languages on movie domain. Multilingual Movie Recommendation System (MMRS) for searching as a case of study is developed. In this system, we illustrate a more comfortable and flexible implementation.
Differential developmental programming by early protein restriction of rat skeletal muscle according to its fibre‐type composition

Differences in fibre‐type composition of skeletal muscle have been associated with obesity and insulin resistance. As a poor nutrient environment early in life is a predisposing factor for the development of obesity and related metabolic diseases at adulthood, this study aimed at determining the long‐term consequences of maternal undernutrition on the structural and metabolic properties of two skeletal muscles characterized by their different fibre‐type composition and metabolic properties.
Validation by a mass spectrometric reference method of use of boronate affinity chromatography to measure glycohemoglobin in the presence of hemoglobin S and C traits.

Glycohemoglobin (GHB) is routinely used both as an index of mean glycemia and as a measure of risk for the development and progression of diabetes complications (1)(2). Because the prevalence of diabetes is higher for non-Hispanic blacks than in non-Hispanic whites (3) and at least 10% of black Americans have either hemoglobin S (HbS) or HbC trait (4), it is probable that at least 150 000 Americans with diabetes have HbS or HbC trait. Previous studies have shown that some GHB methods yield inaccurate results with samples heterozygous for HbS or HbC (5)(6)(7)(8)(9). Many of these interference studies have used boronate affinity chromatography as a reference method based on the assumption that this method should not be influenced by the presence of Hb variants (10). Because measurement of GHB by boronate affinity chromatography is based on the structure of the glycated component (cis-diol component of GHB), rather than differences in charge, it has been assumed that glycated HbS and/or HbC are included in the glycated fraction and that GHB results obtained …
The Wnt antagonist Wif‐1 interacts with CTGF and inhibits CTGF activity

Wnt inhibitory factor 1 (Wif‐1) is a secreted antagonist of Wnt signalling. We recently demonstrated that this molecule is expressed predominantly in superficial layers of epiphyseal cartilage but also in bone and tendon. Moreover, we showed that Wif‐1 is capable of binding to several cartilage‐related Wnt ligands and interferes with Wnt3a‐dependent Wnt signalling in chondrogenic cells. Here we provide evidence that the biological function of Wif‐1 may not be confined to the modulation of Wnt signalling but appears to include the regulation of other signalling pathways. Thus, we show that Wif‐1 physically binds to connective tissue growth factor (CTGF/CCN2) in vitro, predominantly by interaction with the C‐terminal cysteine knot domain of CTGF. In vivo such an interaction appears also likely since the expression patterns of these two secreted proteins overlap in peripheral zones of epiphyseal cartilage. In chondrocytes CTGF has been shown to induce the expression of cartilage matrix genes such as aggrecan (Acan) and collagen2a1 (Col2a1). In this study we demonstrate that Wif‐1 is capable to interfere with CTGF‐dependent induction of Acan and Col2a1 gene expression in primary murine chondrocytes. Conversely, CTGF does not interfere with Wif‐1‐dependent inhibition of Wnt signalling. These results indicate that Wif‐1 may be a multifunctional modulator of signalling pathways in the cartilage compartment. J. Cell. Physiol. 227: 2207–2216, 2012. © 2011 Wiley Periodicals, Inc.
Early diverging clades of Agaricomycetidae were dominated by corticioid forms

The Agaricomycetidae is one of the most morphologically diverse clades of Basidiomycota that includes the well known Agaricales and Boletales, which are dominated by pileate-stipitate forms, and the more obscure Atheliales, which is a relatively small group of resupinate taxa. This study focused taxon sampling on resupinate forms that may be related to these groups, aimed at resolving the early branching clades in the major groups of Agaricomycetidae. A specific goal was to resolve with confidence sister group relationships among Agaricales, Boletales and Atheliales, a difficult task based on conflicting results concerning the placement of the Atheliales. To this end we developed a six-locus nuclear dataset (nuc-ssu, nuc-lsu, 5.8S, rpb1, rpb2 and tef1) for 191 species, which was analyzed with maximum parsimony, maximum likelihood and Bayesian methods. Our analyses of these data corroborated the view that the Boletales are closely related to athelioid forms. We also identified an additional early branching clade within the Agaricomycetidae that is composed primarily of resupinate forms, as well as a few morphologically more elaborate forms including Plicaturopsis and Podoserpula. This clade, which we describe here as the new order Amylocorticiales, is the sister group of the Agaricales. We introduce a second order, the Jaapiales, for the lone resupinate genus Jaapia consisting of two species only. The Jaapiales is supported as the sister group of the remainder of the Agaricomycetidae, suggesting that the greatest radiation of pileatestipitate mushrooms resulted from the elaboration of resupinate ancestors.
Discovering complex matches between database schemas

Schema matching, the problem of finding semantic correspondences between elements of two schemas, plays a key role in many applications, such as data warehouse, heterogeneous data sources integration and semantic Web. The existing approaches to automating schema matching almost focus on computing direct element matches (1:1 matches) between two schemas. However, relationships between real-world schemas involve many complex matches besides 1:1 matches. At present, there are few methods can discover complex matches, such as iMAP, but most of them have poor matching efficiency, because the candidate match space is so large which they need searching. A complex schema matching system called CSM is introduced in this paper. Firstly it can filter unreasonable matches on data types and values by preprocessor and clustering processor; then it employs a set of special-purpose searchers in match generator to explore a specialized portion of the search space and discovers 1:1 and complex matches; Finally it estimates candidate matches and selects optimal candidate matches by using similarity estimator and match selector respectively. Experiments show that, CSM does not only discover matches between schemas roundly, but also improve the matching recall and precision in practice.
Credit Card Debt, Stress and Key Health Risk Behaviors among College Students

Purpose. To examine cross-sectional associations between credit card debt, stress, and health risk behaviors among college students, focusing particularly on weight-related behaviors. Design. Random-sample, mailed survey. Subjects/Setting. Undergraduate and graduate students (n = 3206) attending a large public university. Measures. Self-reported health indicators (e.g., weight, height, physical activity, diet, weight control, stress, credit card debt). Results. More than 23% of students reported credit card debt ≥ $1000. Using Poisson regression to predict relative risks (RR) of health behaviors, debt of at least $1000 was associated with nearly every risk indicator tested, including overweight/obesity, insufficient physical activity, excess television viewing infrequent breakfast consumption, fast food consumption, unhealthy weight control, body dissatisfaction, binge drinking, substance use, and violence. For example, adjusted RR [ARR] ranged from 1.09 (95% Confidence interval [CI]: 1.02–1.17) for insufficient vigorous activity to 2.17 (CI: 0.68–2.82) for using drugs other than marijuana in the past 30 days. Poor stress management was also a robust indicator of health risk. Conclusion. University student lifestyles may be characterized by a variety of coexisting risk factors. These findings indicate that both debt and stress were associated with wide-ranging adverse health indicators. Intervention strategies targeting at-risk student populations need to be tailored to work within the context of the many challenges of college life, which may serve as barriers to healthy lifestyles. Increased health promotion efforts targeting stress, financial management, and weight-related health behaviors may be needed to enhance wellness among young adults.