Miracle-dz/UniFAR-FTUs huggingface dataset:
Video as a tool for student counselling in Higher Education

This study focuses on the use of video as an educational support tool for higher education, especially in the field of Business Administration Studies. The study refers to the contribution of video to the achievement of counselling purposes through the creation and evaluation of scenarios. The results confirm the power and attractiveness of the moving picture in the production of meanings that increase the effectiveness of the counselling and guidance process. Due to this effective integration of video in the counseling process, there is also a shift in existing knowledge and, in part and in the affirmative, a chain of dependencies between initial knowledge/attitude, the effectiveness of video, motivation and new knowledge/attitude. This study promotes the use of video in the field of counselling in Economics and Management and informs both the relative literature and practice.
Parietofrontal circuits in goal‐oriented behaviour

Parietal and frontal cortical areas play important roles in the control of goal‐oriented behaviour. This review examines how signal processing in the parietal and frontal eye fields is involved in coding and storing space, directing attention and processing the sensorimotor transformation for saccades. After a survey of the functional specialization of these areas in monkeys, we discuss homologous regions in the human brain in terms of topographic organization, storage capacity, target selection, spatial remapping, reference frame transformations and effector specificity. The overall picture suggests that bottom‐up sensory, top‐down cognitive signals and efferent motor signals are integrated in dynamic sensorimotor maps as part of a functionally flexible parietofrontal network. Neuronal synchronization in these maps may be instrumental in amplifying behaviourally relevant representations and setting up a functional pathway to route information in this parietofrontal circuit.
A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction

It is very import for Chinese language processing with the aid of an efficient input method engine (IME), of which pinyinto-Chinese (PTC) conversion is the core part. Meanwhile, though typos are inevitable during user pinyin inputting, existing IMEs paid little attention to such big inconvenience. In this paper, motivated by a key equivalence of two decoding algorithms, we propose a joint graph model to globally optimize PTC and typo correction for IME. The evaluation results show that the proposed method outperforms both existing academic and commercial IMEs.
Functional Analysis of Tcl1 Using Tcl1-Deficient Mouse Embryonic Stem Cells

Tcl1 is highly expressed in embryonic stem (ES) cells, but its expression rapidly decreases following differentiation. To assess Tcl1’s roles in ES cells, we generated Tcl1-deficient and -overexpressing mouse ES cell lines. We found that Tcl1 was neither essential nor sufficient for maintaining the undifferentiated state. Tcl1 is reported to activate Akt and to enhance cell proliferation. We found that Tcl1 expression levels correlated positively with the proliferation rate and negatively with the apoptosis of ES cells, but did not affect Akt phosphorylation. On the other hand, the phosphorylation level of β-catenin decreased in response to Tcl1 overexpression. We measured the β-catenin activity using the TOPflash reporter assay, and found that wild-type ES cells had low activity, which Tcl1 overexpression enhanced 1.8-fold. When the canonical Wnt signaling is activated by β-catenin stabilization, it reportedly helps maintain ES cells in the undifferentiated state. We then performed DNA microarray analyses between the Tcl1-deficient and -expressing ES cells. The results revealed that Tcl1 expression downregulated a distinct group of genes, including Ndp52, whose expression is very high in blastocysts but reduced in the primitive ectoderm. Based on these results, we discuss the possible roles of Tcl1 in ES cells.
ASSESSMENT OF A UML-BASED FORMAL MODELING METHOD USING A COGNITIVE DIMENSIONS FRAMEWORK

Conceptual models communicate the important aspects of a problem domain to stakeholders. The quality of the models is highl y dependent on the usability of the modeling method used. This paper presents a survey conducted on a method that integrates the use of a semiformal notation, namely the Unified Modeling Language (UML) and a formal notation, namely B. The survey a ssessed the usability of the method by using the grounded theory, the Cognitive Dimensi ons of Notations (CD) framework, and several criteria suggested by the International Organization for Standardization (ISO). Ten participants responded to the survey. Th e results suggest that the method is accessible to users when the principles and roles o f each notation are obvious and well understood, and when there is strong support from t he environment. Supported by the findings, a usability profile based on CD for desig ning a method that integrates semiformal and formal notations is proposed.
Robust Approximation of Temporal CSP

A temporal constraint language G is a set of relations with first-order definitions in (Q; = 0, given a (1-e)-satisfiable instance of CSP(G), we can compute an assignment that satisfies at least a (1-f(e))-fraction of constraints in polynomial time. Here, f(e) is some function satisfying f(0)=0 and f(e) goes 0 as e goes 0. Firstly, we give a qualitative characterization of robust approximability: Assuming the Unique Games Conjecture, we give a necessary and sufficient condition on G under which CSP(G) admits robust approximation. Secondly, we give a quantitative characterization of robust approximability: Assuming the Unique Games Conjecture, we precisely characterize how f(e) depends on e for each G. We show that our robust approximation algorithms can be run in almost linear time.
Promoting Positive Student Development: A Qualitative Case Study of School-Wide Social and Emotional Learning in an Elementary School

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The Network Structure of Symptoms of the Diagnostic and Statistical Manual of Mental Disorders

Although current classification systems have greatly contributed to the reliability of psychiatric diagnoses, they ignore the unique role of individual symptoms and, consequently, potentially important information is lost. The network approach, in contrast, assumes that psychopathology results from the causal interplay between psychiatric symptoms and focuses specifically on these symptoms and their complex associations. By using a sophisticated network analysis technique, this study constructed an empirically based network structure of 120 psychiatric symptoms of twelve major DSM-IV diagnoses using cross-sectional data of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, second wave; N = 34,653). The resulting network demonstrated that symptoms within the same diagnosis showed differential associations and indicated that the strategy of summing symptoms, as in current classification systems, leads to loss of information. In addition, some symptoms showed strong connections with symptoms of other diagnoses, and these specific symptom pairs, which both concerned overlapping and non-overlapping symptoms, may help to explain the comorbidity across diagnoses. Taken together, our findings indicated that psychopathology is very complex and can be more adequately captured by sophisticated network models than current classification systems. The network approach is, therefore, promising in improving our understanding of psychopathology and moving our field forward.
The affect system has parallel and integrative processing components: Form follows function.

The affect system has been shaped by the hammer and chisel of adaptation and natural selection such that form follows function. The characteristics of the system thus differ across the nervous system as a function of the unique constraints existent at each level. For instance, although physical limitations constrain behavioral expressions and incline behavioral predispositions toward a bipolar (good-bad, approach-withdraw) organization, these limiting conditions lose their power at the level of underlying mechanisms. According to the authors' model of evaluative space (J. T. Cacioppo & G. G. Berntson, 1994; J. T. Cacioppo, W. L. Gardner, & G. G. Berntson, 1997), the common metric governing approach-withdrawal is generally a single dimension at response stages that itself is the consequence of multiple operations, such as the activation function for positivity (appetition) and the activation function for negativity (aversion), at earlier affective processing stages.
A Multi-Lab Test of the Facial Feedback Hypothesis by The Many Smiles Collaboration

The facial feedback hypothesis suggests that an individual’s subjective experience of emotion is influenced by their facial expressions. Researchers, however, currently face conflicting narratives about whether this hypothesis is valid. A large replication effort consistently failed to replicate a seminal demonstration of the facial feedback hypothesis, but meta-analysis suggests the effect is real. To address this uncertainty, a large team of researchers—some advocates of the facial feedback hypothesis, some critics, and some without strong belief—collaborated to specify the best ways to test this hypothesis. Two pilot tests suggested that smiling could both magnify ongoing feelings of happiness and initiate feelings of happiness in otherwise non-emotional scenarios. Next, multiple research sites will perform more extensive tests to examine whether there is a replicable facial feedback effect.
Numerical analysis of destruction modes in IGBT chips

In IGBTs avalanche breakdown usually sets on in the edge termination structure. In consequence of electrical crosstalk, the destruction mechanism in very thin devices is confined to the neighboring cells in the active part of the chip. Thus, in order to achieve the largest possible safe-operating area, design optimization has to focus on the edge termination structure and the neighboring active cells in its vicinity.
Na-O anticorrelation and horizontal branches - VI. The chemical composition of the peculiar bulge globular cluster NGC 6388

We present the LTE abundance analysis of high resolution spectra for red giant stars in the peculiar bulge globular cluster NGC 6388. Spectra of seven members were taken using the UVES spectrograph at the ESO VLT2 and the multiobject FLAMES facility. We exclude any intrinsic metallicity spread in this cluster: on average, [Fe/H] = -0.44 ±0.01 ± 0.03 dex on the scale of the present series of papers, where the first error bar refers to individual star-to-star errors and the second is systematic, relative to the cluster. Elements involved in H-buming at high temperatures show large spreads, exceeding the estimated errors in the analysis. In particular, the pairs Na and O. Al and Mg are anticorrelated and Na and Al are correlated among the giants in NGC 6388, the typical pattern observed in all galactic globular clusters studied so far. Stars in NGC 6388 shows an excess of α-process elements, similar to the one found in the twin bulge cluster NGC 6441. Mn is found underabundant in NGC 6388, in agreement with the average abundance ratio shown by clusters of any metallicity. Abundances of neutron-capture elements are homogeneously distributed within NGC 6388; the [Eu/Fe] ratio stands above the value found in field stars of similar metallicity.
Deep Online Convex Optimization with Gated Games

Methods from convex optimization are widely used as building blocks for deep learning algorithms. However, the reasons for their empirical success are unclear, since modern convolutional networks (convnets), incorporating rectifier units and max-pooling, are neither smooth nor convex. Standard guarantees therefore do not apply. This paper provides the first convergence rates for gradient descent on rectifier convnets. The proof utilizes the particular structure of rectifier networks which consists in binary active/inactive gates applied on top of an underlying linear network. The approach generalizes to max-pooling, dropout and maxout. In other words, to precisely the neural networks that perform best empirically. The key step is to introduce gated games, an extension of convex games with similar convergence properties that capture the gating function of rectifiers. The main result is that rectifier convnets converge to a critical point at a rate controlled by the gated-regret of the units in the network. Corollaries of the main result include: (i) a game-theoretic description of the representations learned by a neural network; (ii) a logarithmic-regret algorithm for training neural nets; and (iii) a formal setting for analyzing conditional computation in neural nets that can be applied to recently developed models of attention.
Language Diversity and Leadership

Research indicates the value of language diversity for nations, organizations, and individuals. However, it is unclear whether language diversity is an untapped leadership resource. The purpose of this study was to examine language diversity and leadership effectiveness in the U.S. labor market. The conceptual framework of language-asresource framed the topic of this study (Ruiz, 1984). This study employed mixed methods procedures. First, data from the 2010 General Social Survey was used to describe the relationship between languages other than English (LOTE) and occupational achievement by utilizing proxy variables. Descriptive statistics and hierarchical regressions results were reported. Second, data were gathered from a purposefully selected focus group to gain deeper insight about speaking a LOTE within the leadership function. Participants were alumni with a major or minor in a specific LOTE from a Research Institution in upstate New York. The data were examined for a relationship between language diversity and leadership effectiveness. Analysis of quantitative data found no evidence that speaking a LOTE predicts either occupational prestige or income. However, qualitative data furthered understanding of the nuances of language diversity and leadership effectiveness. These understandings were captured in the themes of (a) cultural acumen, (b) relational insight, (c) communication savvy, (d) impetus for development, and (d) social civility. Combined results provide a broader perspective of language diversity and leadership effectiveness to encourage LOTE skills among leaders, and to encourage organizations to hire leaders with LOTE skills and promote LOTE study. Degree Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership First Supervisor Marie Cianca Second Supervisor Bruce Blaine Subject Categories Education This dissertation is available at Fisher Digital Publications: http://fisherpub.sjfc. edu/education_etd/179 Language Diversity and Leadership By Deborah Oliverio-Olivieri Submitted in partial fulfillment of the requirements for the degree Ed.D. in Executive Leadership Supervised by Dr. Marie Cianca Committee Member Dr. Bruce Blaine Ralph C. Wilson, Jr. School of Education St. John Fisher College
An optimal algorithm for Monte Carlo estimation

A typical approach to estimate an unknown quantity /spl mu/ is to design an experiment that produces a random variable Z distributed in [O,1] with E[Z]=/spl mu/, run this experiment independently a number of times and use the average of the outcomes as the estimate. In this paper, we consider the case when no a priori information about Z is known except that is distributed in [0,1]. We describe an approximation algorithm AA which, given /spl epsiv/ and /spl delta/, when running independent experiments with respect to any Z, produces an estimate that is within a factor 1+/spl epsiv/ of /spl mu/ with probability at least 1-/spl delta/. We prove that the expected number of experiments ran by AA (which depends on Z) is optimal to within a constant factor for every Z.
Lifetime management of flash-based SSDs using recovery-aware dynamic throttling

NAND flash-based solid-state drives (SSDs) are increasingly popular in enterprise server systems because of their advantages over hard disk drives such as higher performance and lower power consumption. However, the limited and unpredictable lifetime of SSDs remains to be a serious obstacle to wider adoption of SSDs in enterprise systems. In this paper, we propose a novel recovery-aware dynamic throttling technique, called READY, which guarantees the SSD lifetime required by the enterprise market while exploiting the self-recovery effect of floating-gate transistors. Unlike a static throttling technique, the proposed technique makes throttling decisions dynamically based on the predicted future write demand of a workload so that the required SSD lifetime can be guaranteed with less performance degradation. The proposed READY technique also considers the self-recovery effect of floating-gate transistors which improves the endurance of SSDs, enabling to guarantee the required lifetime with less write throttling. Our experimental results show that the proposed READY technique can improvewrite performance by 4.4× with less variations on the write time over the existing static throttling technique while guaranteeing the required SSD lifetime.
Effects of hospital staffing and organizational climate on needlestick injuries to nurses.

OBJECTIVES This study determined the effects of nurse staffing and nursing organization on the likelihood of needlestick injuries in hospital nurses. METHODS We analyzed retrospective data from 732 and prospective data from 960 nurses on needlestick exposures and near misses over different 1-month periods in 1990 and 1991. Staffing levels and survey data about working climate and risk factors for needlestick injuries were collected on 40 units in 20 hospitals. RESULTS Nurses from units with low staffing and poor organizational climates were generally twice as likely as nurses on well-staffed and better-organized units to report risk factors, needlestick injuries, and near misses. CONCLUSIONS Staffing and organizational climate influence hospital nurses' likelihood of sustaining needlestick injuries. Remedying problems with understaffing, inadequate administrative support, and poor morale could reduce needlestick injuries.
Temporal Planning With Required Concurrency Using Classical Planning

In this paper we describe two novel algorithms for temporal planning. The first algorithm, TP, is an adaptation of the TEMPO algorithm. It compiles each temporal action into two classical actions, corresponding to the start and end of the temporal action, but handles the temporal constraints on actions through a modification of the Fast Downward planning system. The second algorithm, TPSHE, is a pure compilation from temporal to classical planning for the case in which required concurrency only appears in the form of single hard envelopes. We describe novel classes of temporal planning instances for which TPSHE is provably sound and complete. Compiling a temporal instance into a classical one gives a lot of freedom in terms of the planner or heuristic used to solve the instance. In experiments TPSHE significantly outperforms all planners from the temporal track of the International Planning Competition.
More on finding a single number to indicate overall performance of a benchmark suite

The topic of finding a single number to summarize overall performance over a benchmark suite is continuing to be a difficult issue 14 years after Smith’s paper [1]. While significant insight into the problem has been provided by Smith [1], Hennessey and Patterson [2], Cragon [3], etc, the research community still seems to be unclear on the correct mean to use for different performance metrics. How should metrics obtained from individual benchmarks be aggregated to present a summary of the performance over the entire suite? What are valid central tendency measures over the whole benchmark suite for speedup, CPI, IPC, MIPS, MFLOPS, cache miss rates, cache hit rates, branch misprediction rates, etc?
Economic growth and democratization

Using data on 106 countries that were autocracies at some point from 1963 to 2004, we test whether economic growth in a given year has an effect on the likelihood of a democratizing event in the following year. Fixed effects logit and linear probability model results indicate that autocracies are more likely to democratize following growth slowdowns. To address the potential endogeneity of economic growth, we use a dual instrumental variable approach in which both external economic growth and rainfall variation are used as instruments for income growth. Results using either of these instruments confirm that negative economic shocks increase the likelihood of democratization.
ANALYZING THE IMPACT OF RISING TEMPERATURE AND CO 2 ON GROWTH AND YIELD OF MAJOR CEREAL CROPS USING SIMULATION MODEL

Temperature and CO2 are two important parameters related to climate change, which affect crop yield. In this study, an attempt has been made to assess the impact of these two factors on the productivity of the four major cereal food crops (wheat, rice, maize and pearl millet) taking New Delhi as study area. This study also aims at identifying the most sensitive growth phase of these crops to the rising temperature. A soil-plant growth simulator CropSyst model was used for this purpose. Calibrated crop coefficients and soil data of the study area were collected from the previous experiments. Five years’ weather data was used to simulate the actual crop yield under unstressed condition. Maximum and Minimum temperature was increased by 1, 2, 3, 4 and 5 C for whole year. Yield was simulated with different rising temperature scenarios. Yield was also simulated at present level of CO2 as well as doubled CO2 situation using each of the rising temperature scenarios. To find out the most sensitive growth phase to the change in temperature, maximum and minimum temperature was increased by 1-5 C only during each of the three important phenophases (Emergence to Peak LAI; Beginning of flowering to beginning of grain filling; Beginning of grain filling to beginning of physiological maturity). The difference in yield, biomass, water use in terms of actual evapo-transpiration and total crop duration was estimated and analyzed to assess the effect of elevated CO2 and temperature. All crops showed reduction in yield with increasing temperature. Wheat was the most sensitive crop and maize is the least sensitive crop to temperature rise among the four. Doubled CO2 increased yield at all temperature rise situation. Wheat and rice showed increase in yield up to 2 C rise in temperature at doubled CO2 condition. Maize increase yield up to 3 C rise in temperature under doubled CO2 situation and pearl millet sustained yield only up to 1C rise in temperature with doubled CO2 level. Except for wheat, active growth phase was found to be the most sensitive growth phase to temperature rise resulting in maximum of 26, 30 and 49 percent reduction in yield of rice, maize and pearl millet, respectively. For wheat it was the grain-filling phase that was found to be most sensitive to temperature rise resulting in 12 percent reduction in yield. ∗ rose_t@sac.isro. gov.in