Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting first-year college achievement: Evaluation of a self-regulatory coping model

The current trends observed in 4-year college graduation and retention rates (ACT 2011; 2012; 2013; 2014; Tinto, 2006) demonstrate a need for improvement in student academic achievement outcomes. Overwhelmingly, research finds that the first year in college is the time of greatest risk for student academic failure and drop out. Challenges associated with academicoriented forms of stress and anxiety (Baillie & Fitzgerald, 2000; Bembenutty, 2008; Cassady, 2010; Collier & Morgan, 2008; Jean, 2010; Pike & Kuh, 2005; Soria & Stebleton, 2012; Turner et al., 2012) coupled with limitations in effective coping strategies (Hofer et al., 1998; Kitsantas et al., 2008; McInerney, 2011; Pintrich & Zusho, 2002; Robbins et al., 2004; Zimmerman & Schunk, 2008) lie at the center of the difficulties these first-year students experience, which ultimately play a significant role in persistence and achievement outcomes. This is particularly true for students from at-risk populations (e.g., first-generation students, ethnic minorities; Balemian & Feng, 2013; Borman & Overman, 2004; Choy, 2001; Engle, 2007; Jones et al., 2010; Pascarella et al., 2004; Toldson, 2012). Postsecondary institutions continue to seek answers through formal assessment and research investigations that may pave the way toward improving the achievement outcomes of their student population. The wide body of research confirms that no single factor reliably predicts college academic success or failure, although institutions have traditionally relied upon indicators of prior achievement (i.e., H.S. GPA and college entrance exams) for such inferences (Alarcon & Edwards, 2013; DeBerard et al., 2004; Harackiewicz et al., 2002; Kowitlawakul et al., 2013; Randsell, 2001; Zypher et al., 2007). Rather, it is the collective of factors from environmental, behavioral and personal domains that interact and have the potential to positively or negatively influence college student achievement (Bandura, 1986; 1997; 1999; Lazarus & Folkman, 1984;
On the nonlinear control of TCSC

The paper reviews modeling of thyristor-controlled series capacitors (TCSC) which are highly nonlinear systems with continuous and discontinuous states, and proposes three nonlinear controllers for it: (1) an approximate feedback linearization control (FLC); (2) a sliding surface-like design; (3) control in transformed coordinates. Detailed (switched) time-domain simulations are used to verify the control performance achieved by the three controllers.
A Preliminary Study of Croatian Lexical Substitution

Lexical substitution is a task of determining a meaning-preserving replacement for a word in context. We report on a preliminary study of this task for the Croatian language on a small-scale lexical sample dataset, manually annotated using three different annotation schemes. We compare the annotations, analyze the inter-annotator agreement, and observe a number of interesting language specific details in the obtained lexical substitutes. Furthermore, we apply a recently-proposed, dependency-based lexical substitution model to our dataset. The model achieves a P@3 score of 0.35, which indicates the difficulty of the task.
Prospective study of talc use and ovarian cancer.

BACKGROUND Perineal talc use has been associated with an increased risk of ovarian cancer in a number of case-control studies; however, this association remains controversial because of limited supporting biologic evidence and the potential for recall bias or selection bias in case-control studies. In this study, we conducted a prospective analysis of perineal talc use and the risk of ovarian cancer. METHODS The Nurses' Health Study is a prospective study of 121 700 female registered nurses in the United States who were aged 30-55 years at enrollment in 1976. Talc use was ascertained in 1982 by use of a self-administered questionnaire: after exclusions, 78 630 women formed the cohort for analysis. Three hundred seven epithelial ovarian cancers subsequently diagnosed in this cohort through June 1, 1996, were confirmed by medical record review and met inclusion criteria. Proportional hazards models by use of pooled logistic regression were used to derive relative risks (RRs) and 95% confidence intervals (CIs). RESULTS In 1982, 40.4% (n = 31 789) of the cohort reported ever using talc, and 14.5% (n = 11 411) reported ever using talc daily. We observed no overall association with ever talc use and epithelial ovarian cancer (multivariate RR = 1.09; 95% CI = 0.86-1.37) and no increase in risk of ovarian cancer with increasing frequency of use. There was a modest elevation in risk for ever talc use and invasive serous ovarian cancer (multivariate RR = 1.40; 95% CI = 1.02-1.91). The risk of epithelial ovarian cancer for talc users was not greater among women who had never had a tubal ligation (multivariate RR = 0.97; 95% CI = 0.71-1.32). CONCLUSION Our results provide little support for any substantial association between perineal talc use and ovarian cancer risk overall; however, perineal talc use may modestly increase the risk of invasive serous ovarian cancer.
Muscle Types, Strength Gains, and Energy Systems what relationships in Soccer game

Soccer is the most popular sport in the world and is played regardless of such factors as sport performance. Whereas there has been much debate as to optimal the dominant energy systems where some authors confirm that soccer is aerobic activities (Wener W.K.et al, 2016) based on the soccer match which is aerobically fueled (Marc Briggs, 2013) while other authors affirm that Soccer is aerobic-anaerobic sport requiring players to display great muscular power with the capacity to produce energy (Jens Bangsbo,et al , 2014)and (T. Reilly,et al, 2013) according to(Bompa, Tudor,et al , 2015) that Dominant energy systems: aerobic, anaerobic lactic, anaerobic alactic. The purpose of this paper therefore was to conduct analysis based on tonic muscle in the lack of lab test whereas the Muscle tone is contractile tension that readiness the muscles to perform movement which requires The measured phasic, a rapid contraction in response to a high degree of stretch; and postural tone, a prolonged (Jo E. et al, 2007). Based on that we used killy test "isometric knee extensor endurance" and Surensen-Biering test "isometric endurance of trunk extensor" (Outrequin J.et al, 2011) comparing to Couper (vo2max) and RAST (anaerobic) tests (Meckel Y, et al., 2009) to determine the types of muscles, “slow” and “fast,” developed by Our 12 footballers under 18 years based on their training. According to the statistical analysis based on Regression as a method we confirm that soccer dominant energy systems is aerobic sport due to the concentration of the coach in developing Strength lower body.
Knowledge Base Semantic Integration Using Crowdsourcing

The semantic web has enabled the creation of a growing number of knowledge bases (KBs), which are designed independently using different techniques. Integration of KBs has attracted much attention as different KBs usually contain overlapping and complementary information. Automatic techniques for KB integration have been improved but far from perfect. Therefore, in this paper, we study the problem of knowledge base semantic integration using crowd intelligence. There are both classes and instances in a KB, in our work, we propose a novel hybrid framework for KB semantic integration considering the semantic heterogeneity of KB class structures. We first perform semantic integration of the class structures via crowdsourcing, then apply the blocking-based instance matching approach according to the integrated class structure. For class structure (taxonomy) semantic integration, the crowd is leveraged to help identifying the semantic relationships between classes to handle the semantic heterogeneity problem. Under the conditions of both large scale KBs and limited monetary budget for crowdsourcing, we formalize the class structure (taxonomy) semantic integration problem as a Local Tree Based Query Selection (LTQS) problem. We show that the LTQS problem is NP-hard and propose two greedy-based algorithms, i.e., static query selection and adaptive query selection. Furthermore, the KBs are usually of large scales and have millions of instances, direct pairwise-based instance matching is inefficient. Therefore, we adopt the blocking-based strategy for instance matching, taking advantage of the class structure (taxonomy) integration result. The experiments on real large scale KBs verify the effectiveness and efficiency of the proposed approaches.
UTA and SICS at CLEF-IP

University of Tampere (UTA) and Swedish Institute of Computer Science (SICS) joined forces in a CLEF-IP experiment where a simple automatic query generation approach was initially tested. For two topics, the extracted query words were compared to query keys selected by three human experts to see whether the automatic key word extraction algorithms seem to be able to extract relevant words from the topics. We participated in the main task with 8 XL runs. Despite the modesty of our results, our best runs placed relatively well compared to the other participants' runs. This suggests that our approach to the automatic query generation could be useful, and should definitely be developed further. The comparison of the queries generated by the patent engineers to those generated by our system showed that typically less than half of the query words selected by the patent engineers were present in the automatically generated queries. For the limited two topics, our automatically generated queries also performed better than the patent engineers' ones, but clearly more user data would be needed before any conclusions can be made in one way or another.
Specificity of cytotoxic effector cells directed against trinitrobenzene sulfonate-modified syngeneic cells. Failure to recognize cell surface- bound trinitrophenyl dextran

Mouse splenic lymphocytes and lymphoid tumor cells were modified with the trinitrophenyl (TNP) group either by treatment with trinitrobenzene sulfonate (TNBS) (which covalently modifies cell surface proteins) or with TNP stearoyl dextran (TSD) (which binds to the cell by noncovalent forces). These cell preparations were compared for their ability to: (a) sensitive syngeneic splenic lymphocytes leading to the generation of cytotoxic effector cells; (b) serve as lysable targets in a 4-h(51)Cr- release assay for effector cells generated in (a); and (c) act as blocking cells in the lysis of TNBS-medified targets lysed by TNP self effector cells generated in (a). In none of these three experimental systems did TSD-medified syngeneic spleen or H-2-matched tumor cells act either as a sensitizing immunogen or as a target antigen, despite the demonstration that quantitatively equivalent mounts of TNP were exposed on the cell surface in the TNBS- and TSD-modified cells. In contrast, TNBS-modified spleen cells sensitized syngeneic lymphocytes to generate effectors against TNBS-modified syageneic targets. Furthermore, TNBS- modified, H-2-matched cells served as specific lysable targets and as inhibiting cells for such effectors. These results indicate that the manner in which TNP is associated with the cell surface is important in the immunogenicity and antigenicity of hapten-modified syngeneic stimulating cells in generating H-2-associated cell-mediated lympholysis (CML) reactions. These findings raise the possibility that a covalent or at least a stable linkage with cell surface proteins (possibly H-2- controlled products) is important for immunological function. Furthermore, these observations do not favor the dual receptor model for H-2-restricted syngeneic CML if it is assumed in such a model that one receptor is specific for the TNP moiety and the second for unmodified self major histocompatibility products.
The Neurobiological Basis of Skilled and Impaired Reading: Recent Findings and New Directions

In recent years, significant progress has been made in the study of reading and reading disability with the use of functional neuroimaging techniques. There is substantial converging evidence that skilled word recognition requires the development of a highly integrated cortical system that includes left hemisphere dorsal, ventral, and anterior subsystems. This article highlights key findings regarding the functional role of these regions during skilled reading, the developmental trajectory toward this mature reading circuitry in normally developing children, deviations from this trajectory in populations with reading disabilities, and the ways in which successful reading remediation alters the brain organization for reading. We present one possible interpretation of these findings and report some recent findings from our lab that continue to refine our understanding of the functional properties of each component region and the ways in which these areas interact. The article concludes with a discussion of important areas of inquiry to be addressed in future work.
A reservoir computing model of episodic memory

We present a novel neural episodic memory architecture that utilizes reservoir computing to extract and recall information gleaned over time from a multilayer perceptron that receives sensory input. Reservoir computing models project input data into a high-dimensional dynamical space and also serve as a fading memory that holds on to past inputs thereby enabling the direct association of the current input with the past. The architecture presented utilizes these capabilities via an abstract feedback mechanism and in doing so creates attractor-like states within the reservoir that are associated with each discrete memory and associates these states and therefore memories over time into episodes. In addition, the feedback mechanism provides stabilization to an otherwise chaotic complex dynamical system.
Measuring Structural Unemployment: Nawru Estimates in the Nordic Countries

The non-accelerating wage rate of unemployment (NAWRU indicator), used by the OECD as a measure of structural unemployment, has risen for the four Nordic countries Denmark, Finland, Norway and Sweden. In this paper we present stable empirical wage equations for the same countries over the period 1964-1994, in sharp contrast to the increased NAWRU estimates. The instability of the NAWRU estimates is an artefact of a misspecified underlying wage equation, and not due to instability in wage setting itself.
High Level Power Estimation and Reduction Techniques for Power Aware Hardware Design

The unabated continuation of the Moore's law has allowed the doubling of the number of transistors per unit area of a silicon die every 2 years or so. At the same time, an increasing demand on consumer electronics and computing equipments to run sophisticated applications has led to an unprecedented complexity of hardware designs. These factors have necessitated the abstraction level of design-entry of hardware systems to be raised beyond the Register-Transfer-Level (RTL) to Electronic System Level (ESL). However, power envelope on the designs due to packaging and other thermal limitations, and the energy envelope due to battery lifetime considerations have also created a need for power/energy efficient design. The confluence of these two technological issues has created an urgent need for solving two problems: (i) How do we enable a power-aware design flow with a design entry point at the Electronic System Level? (ii) How do we enable power aware High Level Synthesis to automatically synthesize RTL implementation from ESL? This dissertation distinguishes itself by addressing the following two issues: (i) Since power/energy consumption of electronic systems largely depends on implementation details, and high-level models abstract away from such details, power/energy estimation at such levels has not been addressed thoroughly. (ii) A lot of work has been done in applying various techniques on control-data-flow graphs (CDFG) to find power/area/latency pareto points during behavioral synthesis. However, high level C-based functional models of various compute-intensive components, which could be easily synthesized as co-processors, have many opportunities to reduce power. Some of these savings opportunities are traditional such as clock-gating, operand-isolation etc. The exploration of alternate granularities of these techniques with target applications in mind, opens the door for traditional power reduction opportunities at the high-level. This work therefore concentrates on the aforementioned two areas of inadequacy of hardware design methodologies. Our proposed solutions include utilizing ESL simulation traces and mapping those to lower abstraction levels for power estimation, derivation of statistical power models using regression based learning for power estimation at early design stages, etc. On the HLS front, techniques that insert the power saving features during the synthesis process using exploration of granularity and scope of clock-gating, sequential clock-gating are proposed. Finally, this work shows how to marry two domains, that is estimation and reduction. In this regard, a power model is proposed, which helps in predicting power savings obtained using clock-gating and further guiding HLS to selectively insert clock-gating. …
Increased Brain Activation During the Processing of Spatially Invalidly Cued Targets

In a spatial central cue Posner´s paradigm, positions in the vertical meridian were cued in order to evaluate the neuro-cognitive consequences in the processing of validly cued (VC) and invalidly cued (IC) targets. Sixty-four EEG channels were recorded and analyzed showing that IC targets produced an enhanced P3 component with respect to VC targets. With the purpose of reinforcing the idea of increased activation during IC targets and to define the areas in which the increased activation would occur, source localization was applied to the ERPs. LORETA and single dipole localization showed that the early P3 presented a localization in the dorsal part of the anterior cingulate cortex (dACC), while the late P3 was fitted by single dipole more posterior than the early P3, and LORETA added a source in the parahippocampal gyrus in addition to the already activated dACC. LORETA results also showed a differential activation of the inferior frontal gyrus when IC targets were processed. The previous results suggest that subjects prepare to accomplish the task upon specification of the cue. Therefore, when the IC target appears, it induces the activation of the frontal cortex including areas related to the conflict monitoring system and to the processing of unexpected events. The IC targets also induce the revision of internal models about the task, possibly by activation of the temporo-mesial surface. All the obtained current source differences indicate that a higher brain activation during IC trials with respect to VC trials occurs.
Hermitian Yang–Mills metrics on reflexive sheaves over asymptotically cylindrical Kähler manifolds

Abstract We prove an analogue of the Donaldson–Uhlenbeck–Yau theorem for asymptotically cylindrical (ACyl) Kähler manifolds: If is a reflexive sheaf over an ACyl Kähler manifold, which is asymptotic to a μ–stable holomorphic vector bundle, then it admits an asymptotically translation-invariant projectively Hermitian Yang–Mills metric (with curvature in across the singular set). Our proof combines the analytic continuity method of Uhlenbeck and Yau with the geometric regularization scheme introduced by Bando and Siu.
Boosted Dictionary Learning for Image Compression

Sparse representations over redundant dictionaries have shown to produce high-quality results in various signal and image processing tasks. Recent advancements in learning-based dictionary design have made image compression using data-adaptive learned dictionaries a promising field. In this paper, we present a boosted dictionary learning framework to construct an ensemble of complementary specialized dictionaries for sparse image representation. Boosted dictionaries along with a competitive sparse coding form our ensemble model which can provide us with more efficient sparse representations. The constituent dictionaries of the ensemble are obtained using a coherence regularized dictionary learning model for which two novel dictionary optimization algorithms are proposed. These algorithms improve the generalization properties of the trained dictionary compared with several incoherent dictionary learning methods. Based on the proposed ensemble model, we then develop a new image compression algorithm using boosted multi-scale dictionaries learned in the wavelet domain. Our algorithm is evaluated for the compression of natural images. Experimental results demonstrate that the proposed algorithm has better rate-distortion performance as compared with several competing compression methods, including analytic and learned dictionary schemes.
A new coding system for monochromatic images based on wavelet transform and singular value decomposition (HDWTSVD)

In this paper the HDWTSVD algorithm to encode monochromatic images is proposed. The algorithm combines DWT and SVD techniques. The input image is divided into tiles of 64×64 pixels. A criterion based on the average standard deviation of 8×8 subblocks is used to choose DWT or SVD. If the tile exhibits a high average standard deviation, it is compressed by using SVD otherwise by DWT. Eigenvalues and eigenvectors are scalar and vector quantized respectively. If the MSE of the highest three eigenvectors, with respect to the vectors in the codebooks, is greater than a threshold then the eigenvectors are scalar quantized and sent, otherwise the indices of de codevectors are sent. The remaining eigenvectors are quantized using small codebooks. The maximum number of levels of subband decomposition for each tile is 3. Each subband is coded using the HC-RIOT. Each subband is coded using HC-RIOT. The proposed algorithm is applied to image coding and its performance is discussed.
Partially Hydrolyzed Guar Gum Increases Ferroportin Expression in the Colon of Anemic Growing Rats

Studies have reported a positive effect of prebiotics on the bioavailability of iron. This study evaluated the effect of partially hydrolyzed guar gum (PHGG) on iron absorption mechanisms in anemic rats. Male Wistar rats were fed 75g American Institute of Nutrition Rodent Diets for growth, pregnancy and lactation (AIN93-G) without iron for three weeks in order to induce iron deficiency anemia. Then they were fed a control diet (n = 12; without fiber) or a diet with 7.5% of PHGG (n = 12), both without iron. Food intake, body growth and the feed efficiency coefficient (FEC) were measured. The animals were euthanized after two weeks of treatment. The weight of the organs, the pH of the cecal content, and the hepatic iron and ferroportin expression in the cecum, duodenum, and liver were assessed. The intake of PHGG reduced food intake without affecting body growth, and there was a difference between the groups regarding the FEC (p = 0.026), with the highest value found in the PHGG group. The weight of the cecal content increased (p ≤ 0.001) and the pH of the cecal content was significantly lower in the PHGG group. The intake of PHGG significantly increased ferroportin expression in the cecum;however, the difference was not significant in the duodenum and the liver. PHGG seems to have a positive influence on iron absorption through transporter expression, and structural and physiological changes in the colon of anemic growing animals.