Miracle-dz/UniFAR-FTUs huggingface dataset:
Narratives of Organizational Identity and Identification: A Case Study of Hegemony and Resistance

This paper focuses on issues of identity and identification in a UK-based institution of higher education (Westville' Institute). It is suggested that identity, both individual and collective, and the processes of identification which bind people to organizations, are constituted in the personal and shared narratives that people author in their efforts to make sense of their world and read meaning into their lives. The research contribution this paper makes is threefold. First, it illustrates how an organization's identity narrative evolves over time, and the variety of identification narratives, including dis-identification, neutral identification and schizo-identification, in terms of which participants define their relationship to it. Second, it makes a contribution to what are still rather inchoate efforts to theorize the dynamics of individual-collective processes of identification and identity construction. Finally, it argues that the efforts of senior managers to control processes of organizational identity formation, and participant identification, are interpretable as hegemonic acts required for legitimation purposes.
Memória e aprendizagem no procedimentode recordação seletiva livre e com pistas

The objective of the study was to verify, in an exploratory way, the factor structure and differences between each trial on instruments that use the procedure Free and Cued Selective Reminding (FCSR). The responses of 83 elderly people to FCSR were retrospectively analyzed. The results suggest that there is an ascending curve between almost all trials in a free recall and no signifi cant differences after second trial in a total remembered. In addition, a three factor solution was observed. Factors 1 and 2 suggest maintaining a division between recovery and storage scores, while the presence of factor 3 suggests the presence of a score that asses a temporary storage of information. There is a hypothesis that factor 3 was related with episodic buffer in working memory. These results serve to better understanding the FCSR and used to develop a new memory test (MAPS Test).
Temporal Association Algebra: A Mathematical Foundation for Processing Object-Oriented Temporal Databases

This paper describes an object-oriented temporal association algebra (called TA-algebra) which is intended to serve as a formal foundation for supporting a pattern-based query specification and processing paradigm. Different from the traditional table-and-attribute-based paradigm, the pattern-based paradigm views the intension of an object-oriented temporal database as a network of object classes interconnected by different association types and its extension as a network of associated temporal object instances. Consistent with this view, queries can be specified in terms of patterns of temporal object associations or nonassociations (i.e., linear, tree and network structures of object classes/objects with logical AND and OR branches). TA-algebra provides a set of algebraic operators for processing these patterns and allows the direct and/or indirect associations and/or nonassociations among temporal object instances to be more explicitly represented and maintained during processing than the traditional tabular representation of temporary or final query results. TA-algebra operators are based on time-interval and valid-time semantics and they preserve the closure property. The algebra is capable of operating on heterogeneous as well as homogeneous patterns of object associations. Both homogeneous and heterogeneous patterns are decomposed into a set of primitive temporal pattern instances for uniform treatment. This paper formally defines the TA-algebra operators and their mathematical properties. The applications of these operators in query decomposition and processing are illustrated by examples.
Normal Approximation for Isolated Balls in an Urn Allocation Model

Consider throwing $n$ balls at random into $m$ urns, each ball landing in urn $i$ with probability $p(i)$. Let $S$ be the resulting number of singletons, i.e., urns containing just one ball. We give an error bound for the Kolmogorov distance from the distribution of $S$ to the normal, and estimates on its variance. These show that if $n$, $m$ and $(p(i))$ vary in such a way that $n p(i)$ remains bounded uniformly in $n$ and $i$, then $S$ satisfies a CLT if and only if ($n$ squared) times the sum of the squares of the entries $p(i)$ tends to infinity, and demonstrate an optimal rate of convergence in the CLT in this case. In the uniform case with all $p(i)$ equal and with $m$ and $n$ growing proportionately, we provide bounds with better asymptotic constants. The proof of the error bounds is based on Stein's method via size-biased couplings.
Effects of Musical Soundtracks on Attitudes toward Animated Geometric Figures

We investigated the effects of musical soundtracks on attitudes to figures in a short animated film. In a preliminary study and in the main experiment, subjects saw the film accompanied by one of two soundtracks or with no soundtrack, or they heard one of the two soundtracks alone. In the main experiment, Semantic Differential judgments on Activity and Potency dimensions, obtained for the music, predicted effects of the soundtracks on corresponding ratings of the film as compared to ratings in a no soundtrack condition. As well, ratings on the Activity dimension of the film characters themselves were altered by the soundtracks. It is hypothesized that congruent auditory and visual structure directs the encoding of particular visual features of the film. In addition, associations generated by the music provide a context for the interpretation of the action in the film. As a result, stimulus features and concepts that are initially encoded as disjunctive conjoin in perception and memory.
Emotional self‐efficacy, graduate employability, and career satisfaction: Testing the associations

Abstract Graduate employability has been the subject of little empirical research. There are a number of difficulties in defining and measuring graduate employability, which means that there is a paucity of research that looks at its predictors and outcomes. Previous work has proposed that emotional competence improves graduate employability, and this study further investigates this idea by examining the association between emotional self‐efficacy and employability. Also investigated is the association between employability and career satisfaction. Working graduates (N = 306) completed measures of emotional self‐efficacy, self‐perceived employability, and career satisfaction, and the data were analysed using structural equation modelling. We found emotional self‐efficacy to be an important predictor of graduate employability. Additionally, we found that graduate employability mediates the relationship between emotional self‐efficacy and career satisfaction. Some recommendations, in light of these findings, are discussed.
Follistatin288 Regulates Germ Cell Cyst Breakdown and Primordial Follicle Assembly in the Mouse Ovary

In mammals, the primordial follicle pool represents the entire reproductive potential of a female. The transforming growth factor-β (TGF-β) family member activin (ACT) contributes to folliculogenesis, although the exact mechanism is not known. The role of FST288, the strongest ACT-neutralizing isoform of follistatin (FST), during cyst breakdown and primordial follicle formation in the fetal mice ovary was assessed using an in vitro culture system. FST was continuously expressed in the oocytes as well as the cuboidal granulosa cells of growing follicles in perinatal mouse ovaries. Treatment with FST288 delayed germ cell nest breakdown, particularly near the periphery of the ovary, and dramatically decreased the percentage of primordial follicles. In addition, there was a dramatic decrease in proliferation of granulosa cells and somatic cell expression of Notch signaling was impaired. In conclusion, FST288 impacts germ cell nest breakdown and primordial follicle assembly by inhibiting somatic cell proliferation.
From TWEAK to PWEAK: Reducing the Non Linear PLanning Framework

The TWEAK system (Chapman 87) is a very nice synthesis of a long trend in planning and Artificial Intelligence, including STRIPS (Fikes & Nilsson 71). We derive a correctness criterion which is simpler that the one used for TWEAK since it does not involve modal operators and does not introduce neither white knights nor separation. This criterion is compared to the one of TWEAK and other related works. We then derive a correct and complete planning procedure from this criterion, as it was done for TWEAK. The resulting planner is proved correct (it finds good plans), complete (it can find all possible plans with appropriate control) and shall always stop with a solution if there exists one. Moreover, this planner avoids some looping problems of TWEAK. This planner is implemented in Prolog and Lisp. From TWEAK to PWEAK: Reducing the Non Linear PLanning Framework Laforia Technical Report 90/29, December 1990.
Effect of intraruminal osmolality changes arising from administration of sodium chloride on transfer of blood urea to rumen in sheep (Kesan perubahan osmolaliti intraruminal lanjutan daripada pemberian natrium klorida terhadap pemindahan urea darah ke dalam rumen biri-biri)

A single injection of 15 g NaCl into the rumen, which increased the osmotic pressure of rumen fluid from 369 to 474 mOsmol/kg, resulted in a decrease in the transfer of blood urea into rumen fluid from 2.3 to 1.6 g N/day in sheep fed 50 g of chaffed oaten hay every hour. It is concluded that the reduced urea transfer was the result of a reduced urea input via saliva. The rumen wall remained virtually impermeable to urea throughout the study.
Brain Plasticity and Behavior

Although the brain was once seen as a rather static organ, it is now clear that the organization of brain circuitry is constantly changing as a function of experience. These changes are referred to as brain plasticity, and they are associated with functional changes that include phenomena such as memory, addiction, and recovery of function. Recent research has shown that brain plasticity and behavior can be influenced by a myriad of factors, including both pre- and postnatal experience, drugs, hormones, maturation, aging, diet, disease, and stress. Understanding how these factors influence brain organization and function is important not only for understanding both normal and abnormal behavior, but also for designing treatments for behavioral and psychological disorders ranging from addiction to stroke.
Inhibitory after‐effects in the stop signal paradigm

The inhibition of responses to interfering stimuli in a trial results in longer reaction times in the following trial in which to-be-ignored stimuli become targets. This is due to the fact that the residual inhibition of the distractor must be overcome before the relevant response can be produced. Such negative priming effects are wellknown inhibitory after-effects and the focus of intensive research. However, it seems reasonable to assume that the use of inhibitory processes leaves measurable after-effects in a variety of other tasks and situations. Therefore, the aim of the present study was to investigate whether the after-effects of inhibition could be obtained in a task measuring motor inhibition (i.e. the stop signal task). Our results indicate that inhibitory after-effects were present in the stop signal task whether or not participants were successful in inhibiting their reactions. Moreover, inhibitory after-effects were greater when both trials consisted of the same primary task properties. Strategic effects might explain part of the results, but there is evidence that a specific inhibition of either the stimulus, or the response to that stimulus, or both plays a role in the constitution of the after-effects.
An Embedded Cloud Design for Internet-of-Things

Internet-of-Things (IoT) consists of interconnected heterogeneous devices that ubiquitously interact with physical world. The devices are often resource constrained in terms of energy, computation, and communication resources. Distributing processing between these heterogeneous devices could yield to better performance and sharing, and extending resources of the devices could yield to more intelligent ubiquitous applications. Such a design can be called as “embedded cloud”, which is defined in this paper. An embedded cloud design is presented that consists of distributable Process Description Language (PDL), Distributed Middleware (DiMiWa), and an infrastructure. As a result, PDL can execute distributed processes and share resources as services over heterogeneous IoT devices with help of DiMiWa and the infrastructure. The design is evaluated with a prototype implementation, where PDL and DiMiWa are executed on a small 8-bit microcontroller-based IoT device. The implementation requires only 5122 B of program memory (4% of the available), consumes under 1 ms of CPU time per process in the worst case, and allows over 100 simultaneous services per device.
2016 Ieee International Conference on Big Data (big Data) an Overview of Studies about Students' Performance Analysis and Learning Analytics in Moocs

—In this paper, we aimed to guide about latest development and studies about students' performance analysis and Learning Analytics in Massively Open Online Courses (MOOCs) for researchers related with the topics. For this purpose short review for usage of performance prediction and Learning Analytics in MOOCs is investigated In our study, to help readers get familiar with our topic, firstly literature information about basic concepts are explained. Then to understand features' importance level and their relationships more detailed, information about some papers were provided. After that, findings about usage of student performance prediction and Learning Analytics in MOOCs are summarized.
Posttraumatic Stress Disorder Prevalence and Risk of Recurrence in Acute Coronary Syndrome Patients: A Meta-analytic Review

Background Acute coronary syndromes (ACS; myocardial infarction or unstable angina) can induce posttraumatic stress disorder (PTSD), and ACS-induced PTSD may increase patients’ risk for subsequent cardiac events and mortality. Objective: To determine the prevalence of PTSD induced by ACS and to quantify the association between ACS-induced PTSD and adverse clinical outcomes using systematic review and meta-analysis. Data Sources: Articles were identified by searching Ovid MEDLINE, PsycINFO, and Scopus, and through manual search of reference lists. Methodology/Principal Findings Observational cohort studies that assessed PTSD with specific reference to an ACS event at least 1 month prior. We extracted estimates of the prevalence of ACS-induced PTSD and associations with clinical outcomes, as well as study characteristics. We identified 56 potentially relevant articles, 24 of which met our criteria (N = 2383). Meta-analysis yielded an aggregated prevalence estimate of 12% (95% confidence interval [CI], 9%–16%) for clinically significant symptoms of ACS-induced PTSD in a random effects model. Individual study prevalence estimates varied widely (0%–32%), with significant heterogeneity in estimates explained by the use of a screening instrument (prevalence estimate was 16% [95% CI, 13%–20%] in 16 studies) vs a clinical diagnostic interview (prevalence estimate was 4% [95% CI, 3%–5%] in 8 studies). The aggregated point estimate for the magnitude of the relationship between ACS-induced PTSD and clinical outcomes (ie, mortality and/or ACS recurrence) across the 3 studies that met our criteria (N = 609) suggested a doubling of risk (risk ratio, 2.00; 95% CI, 1.69–2.37) in ACS patients with clinically significant PTSD symptoms relative to patients without PTSD symptoms. Conclusions/Significance This meta-analysis suggests that clinically significant PTSD symptoms induced by ACS are moderately prevalent and are associated with increased risk for recurrent cardiac events and mortality. Further tests of the association of ACS-induced PTSD and clinical outcomes are needed.
Immunoglobulin M Efficacy Against Cryptococcus neoformans: Mechanism, Dose Dependence, and Prozone-Like Effects in Passive Protection Experiments1

The IgM mAbs 12A1 and 13F1 are protective and nonprotective, respectively, against lethal Cryptococcus neoformans infection in mice. To better understand the variables that contribute to IgM efficacy against C. neoformans, we studied the effects of inoculum size, route of infection, and Ab dose for each of these mAbs. mAb 13F1 did not prolong survival under any condition studied. mAb 12A1 prolonged survival after the administration of certain Ab doses after i.p. infection with defined inocula and promoted phagocytosis, agglutination, and the formation of inflammatory cell rings around yeast cells in vivo. Large Ab doses of mAb 12A1 resulted in either no protection or enhanced infection, consistent with a prozone-like effect. Investigation of this phenomenon revealed that the fungal cell was protected against microbicidal nitrogen-derived oxidants when large amounts of Ab were bound to the C. neoformans capsule. mAb 12A1 was opsonic in vitro for peritoneal, but not splenic or alveolar macrophages. In summary, our results indicate that IgM efficacy against C. neoformans is a function of the route of infection, inoculum, and Ab dose and is associated with its ability to promote opsonization, agglutination, and phagocytic ring formation in vivo. The occurrence of the prozone-like phenomenon implies that high Ab titers are not necessarily beneficial in assuring protection against certain pathogens and that caution should be exercised in using high Ab titer as a measure for vaccine efficacy.
Extracting Descriptions of Location Relations from Implicit Textual Networks

For the retrieval of concise entity relation information from large collections or streams of documents, existing approaches can be grouped into the categories of (multi-document) summarization and knowledge extraction. The former tend to fall short for this task due to the involved amount of information that cannot be easily condensed, while knowledge extraction approaches are often pattern-based and too discriminative for exploratory purposes. For location relations in particular, this translates to a set of very short relationship descriptors that predominantly encode hierarchical or containment relations such as located in or capital of. As a result, available knowledge bases that are typically populated through knowledge extraction are limited to these discrete and typed relations. In contrast, the representation of document collections as implicit networks of entities, terms, and sentences has emerged as a way to encode a much wider range of entity relations and occurrences, which can be leveraged for filtering the relevant information and enabling subsequent interactive explorations. In this paper, we discuss the extraction of descriptive sentences for sets of entities from such implicit networks to support an interactive exploration, and apply them to the extraction of complex location relations that are not hierarchical or containment-based. We introduce and compare efficient ranking methods for sentence extraction that address this entity-centric search task by leveraging entity and term relations in implicit network representations of large document collections. Based on Wikipedia articles and Wikidata as a knowledge base, we demonstrate the extraction of novel location relations that are not contained in the knowledge base.
Development of a Scale: Barriers to CBT Homework Completion Scale

Homework (mutually agreed tasks for the patient to complete outside the therapy session) is animportant component of Cognitive Behavioral Therapy (CBT). CBT homework disconfirmsnegative thoughts and beliefs; focuses subjective accounts to more objective detailed accounts;allows therapist and patient to review the past week's activities; and helps the therapist to relatethe session to specific tasks (Beck et al., 1979). Compliance with homework has been shown toimprove the clinical results of CBT (Persons et al., 1988). At the present time there is noconsensus as to the average rate of adherence in completing homework assignments (Detweiler& Whisman, 1999). The identification and reliable measurement of barriers affecting completion ofhomework assignments may improve the potency of CBT, thereby producing further reductionsin depressive symptoms and improvement in ultimate clinical outcome. It may also assistresearchers to identify factors related to variance in treatment outcome, thereby strengthening thegeneralizability of investigational findings for the clinical community.A two-phase study was conducted to develop an instrument that may assist CBT patients,therapists, and researchers to ascertain the barriers that may be preventing completion ofhomework assignments. Phase I involved the interview of 20 depressed patients and 20therapists to elicit perceived barriers to homework completion in order to develop an item poolfor the draft instrument. In Phase II, the draft instrument was administered to 56 subjects on 2separate occasions.Factor Analysis revealed a 2-factor solution of "Patient Factors" and "Therapist/TaskFactors. " Internal Consistency demonstrated Alpha Coefficients of the Subscale and Entirescales that ranged from . 80 to . 95. Test-Re-Test correlations demonstrated Pearson correlationsof . 72 to . 95. The only consistent demographic predictors of levels of Barriers to CBTHomework Completion Scale scores were race and marital status. The Patient subscale was ableto satisfactorily classify patients (75 to 79 %) with low and high adherence to homeworkassignments. There were no consistent predictors of assignment compliance. The Barriers toCBT Homework Completion Scale scores did correlate significantly with AssignmentCompliance (.32 to .46). Sample size most likely limited the ability to fully evaluate thepsychometric properties of this draft instrument. Future studies will expand upon this pilot studyof the Barriers to CBT Homework Completion Scale.
A unified software approach to specify pipeline and spatial parallelism in FPGA hardware

High-level synthesis (HLS) is increasingly becoming a mainstream design methodology for FPGAs. Whereas its previous applications were mostly limited to research and simple designs, it is now being used to tape-out real-world chips in production [1]. Advances in compiler and HLS research continue to improve the quality of HLS-generated hardware. Despite this, the ease-of-use of HLS tools remains a hurdle to its broad uptake, particularly by engineers without hardware skills. To this end, we propose using a well-known software technique to infer streaming parallel hardware in HLS. Specifically, we use the producer-consumer pattern, commonly used in multi-threaded programming, to infer the generation of hardware that can exploit both pipeline and spatial parallelism on FPGAs. Our proposed methodology allows one to create a design in software, using only standard software methodologies, that cannot only synthesize to streaming hardware, but also model the generated hardware more accurately than existing solutions from other state-of-the-art C-based HLS tools. We use four different real-world benchmarks to illustrate the use of our methodology, and how it can create circuits that are either pipelined, or pipelined and replicated, all from software. For comparison, we also use a commercial HLS tool to synthesize one of the benchmarks, and show that our methodology can produce competitive results to that of the commercial tool.