Miracle-dz/UniFAR-FTUs huggingface dataset:
Affect Intensity: Separating Intensity and Frequency in Repeatedly Measured Affect

E. Diener, R. J. Larsen, S. Levine, and R. A. Emmons (1985) distinguished between intensity and frequency as separable components in repeatedly measured affect. In this article, an improved way of differentiating intensity and frequency of affect is proposed that permits one to measure affect intensity separately for each emotion of interest. The results of 3 studies using this method provide further support for the affect intensity construct and demonstrate the superiority of the new approach. In addition, a new measure based on intensity ratings of hypothetical scenarios proved to be the best measure of affect intensity when it has to be assessed at 1 moment in time. Finally, results of 2 diary studies, one sampling emotional events and the other sampling random moments, confirmed the hypothesis that affect intensity is best conceptualized as a disposition to react strongly to emotion-eliciting events rather than to experience intense affect in the absence of goal-relevant situations.
Cultural Knowledge in Organizations: Exploring the Collective Mind

Introduction Existing Perspectives on Culture An Alternative Conception of Culture in Organizations A Preview Insights into the Nature of Cultural Knowledge Dictionary Knowledge Cultural Groupings at the Descriptive Level Directory Knowledge Cultural Synergism at the Operational Level Recipe Knowledge Axiomatic Knowledge Culture Formation and Institutionalization Conclusions on the Nature and Concept of Culture in Organizational Settings The Application of Cultural Knowledge in Organizational Settings The Cultural Link between Strategy and Organizational Processes Where Do We Go From Here?
Quantitative measures of memory malingering on the wechsler Memory Scale: Third edition in mild head injury litigants

Wechsler Memory Scale-Third edition (WMS-III) performance in 25 mild traumatic brain injury (TBI) litigants who met the criteria for probable malingered neurocognitive dysfunction (MND) was compared with 50 nonmalingering subjects. The base rate for probable MND in the population studied was 27%. Overall, malingerers showed globally depressed memory function. They returned significantly poorer scores than nonmalingerers on all WMS-III indexes and subtests, and on selected WMS-III index difference scores and intelligence-memory difference scores. Using the minimum score returned in the nonmalingerers as the cut-off for malingering, the delayed auditory recognition memory tasks were highly effective in detecting malingering. Raw scores below 43 on the auditory recognition-delayed (AR-D) subtest or below 18 on word list II-recognition, identified around 80% of the malingerers. In a group of 50 severe TBI litigants, only a very small proportion (i.e., <10%) returned scores below the cut-offs for malingering for the mild TBI subjects.
Time for Absenteeism: A 20-Year Review of Origins, Offshoots, and Outcomes

We use a time-based system to help organize, summarize, and analyze research on employee absenteeism published in the last 20 years (1977-1996). Although what is known about some mid-term (4-12 month) origins of absence-taking has been greatly clarified and expanded, less is known about long-term (> 12 months) and short-term (I day-3 months) origins, or about how causes in different time frames relate to each other. Poor performance and “neglectful” behaviors serve as reliable offshoots of absenteeism. The long- and short-term etiology of the latter behaviors is unclear, but their shared variance in the mid-term reflects negative job attitudes. Outcomes of absenteeism have received much less research attention. Although mid-term consequences such as reduced performance, turnover, and organizational expense are well-established, little is known about short- and long-term effects of absence-taking on individuals and their social environments. We conclude with suggestions for more explicit consideration of time frames, causal lags, and aggregation periods in the next decades of absenteeism research.
A Retrospective Study of Sequential Therapy with Advanced Wound Care Products versus Saline Gauze Dressings: Comparing Healing and Cost

Treating chronic wounds often creates daunting medical and financial challenges - perhaps, in part, because no standard-of-care algorithms have been universally accepted for the provision of care. In a retrospective chart study of patients receiving home care services, researchers compared the results on lower extremity wound healing of using sequential therapy comprising advanced wound care products (collagen/oxidized regenerated cellulose [C/ORC] and collagen/oxidized regenerated cellulose + silver/ORC [C/ORC/silver]) versus saline-soaked gauze. Nine hundred, seventy-four (974) persons fit the inclusion criteria; 873 had received C/ORC and C/ORC/silver and 101 had received the saline gauze treatment. Demographics were comparable in both groups with regard to age (range 55 to 80 years) and wound type (trauma leading to chronic ulcers, pressure ulcers, neuropathic ulcers in persons with diabetes, postsurgical ulcers, locally infected ulcers, and venous leg ulcers). After 2 months' treatment, 95% of the C/ORC and C/ORC/silver-treated wounds closed at a total cost of $2,145, compared to 7.2% of the saline gauze-treated group at a total cost of $7,350; 43% of saline-treated wounds healed by 6 months at a total cost of $22,050. The additional expense incurred was for nursing costs, due mainly to the need for more frequent dressing changes. When compared to saline gauze dressings, sequential therapies and advanced wound care products may reduce the frequency of nursing visits and optimize wound healing time, subsequently reducing healthcare costs; thus, underscoring the need for a paradigm shift in the standard of care for the treatment of chronic wounds in the home care environment.
A Comparative Study of the Curing Effects of Local and Global Thermal Annealing on a FinFET

Recently, localized thermal annealing has been spotlighted as an effective method to cure aged devices. The degraded gate oxide can be successfully cured by local annealing, which utilizes Joule heat inherently generated in the device. But, despite this advantage, there has been no study comparing the curing effects with various other annealing methods. In this study, the curing effects of local annealing and a conventional global annealing method applied to SOI FinFETs are compared. The measured electrical characteristics are discussed to evaluate the damage curing with respect to curing level and variability.
Epidemiología del juego patológico en España

Pathological gambling is a grave problem affecting a large number of people. Gambling has increased exponentially in Spain since it was legalized in 1977. The appearance of thefirst pathological gamblers after legalization has been followed by a constant annual increase in the numer of pathological gamblers. A survey of the prevalence studies of pathological gambling carried out in Spain indicates that no less than 1.5% of the population over the age of 18 arc pathological gamblers. Among children and adolescents the rafe is even higher, between 1.6 and 2.4%. To this we have to add another high risk group: rhe problem gambler. A comparison of prevalence data in Spain with those from other countries shows that very high levels of pathological gamblers have appeared in the short time since legalization. The data underline the urgent need to make society aware of this serious addictive problem in order to ensure that more treatrnent programs and other activities are available for gamblers and their families and to prevent the appearance of new pathological gamblers.
Microwave SAIR Imaging Approach Based on Deep Convolutional Neural Network

Microwave synthetic aperture interferometric radiometers (SAIRs) are very powerful instruments for high-resolution remote sensing of the atmosphere and the earth surfaces at microwave frequencies. Microwave SAIR imaging reconstruction from interferometric measurements suffers from hardware non-identities, limited prior information, and noise interference, and consequently often requires expert calibration strategies to reduce imaging error and improve the accuracy of the reconstruction. In this article, we propose a new SAIR imaging approach with a deep convolutional neural network (CNN) learning framework to optimize the reconstruction performance. We interpret interferometric measurements of SAIR as a signal encoding representation and SAIR imaging as the corresponding decoding representation. A deep CNN framework with additional fully connected layers is utilized to autonomously learn the decoding representation from interferometric measurement samples and perform SAIR imaging. The supervised learning forward model with hyperparameters makes that the proposed approach could accurately obtain the SAIR imaging representation involving multiple systematic features for real applications. We demonstrate the performance of the proposed imaging approach through extensive numerical experiments. Compared with conventional handcrafted Fourier transform and sparse regularization reconstruction imaging approaches, the proposed imaging approach based on deep learning is superior in terms of image quality, computing efficiency, and noise suppression.
Investigation of the transient growth in plane jet by non-modal stability analysis

Linear stability analysis is used to characterize the dynamics of a plane jet by incorporating non-modal stability analysis besides classical global temporal stability analysis. It is explained that similar shapes of different global modes are the result of non-normal characteristics of linearized Navier Stokes equations. Optimal initial disturbances and their eigenfunctions together with transient energy growth are obtained for different time horizons and Reynolds numbers of the jet in the linear unstable configuration. These structures are localized at the upstream of the jet nozzle at the boundary layer. The transient growth of the inlet perturbation in limited time bounds is found in the presence of unstable eigenmodes in the flow. The evolution of optimal initial disturbances yields robust energy growth of more than two orders of magnitude. It is found that by increasing Reynolds number in linear unstable flow framework, the non-modal transient growth can marginally surpass the exponential growth in short times.
Source-filter interaction in phonation: A study using vocal-tract data of a soprano singer

We simulated acoustic interaction between the voice source system in the larynx and the acoustic filter of the vocal tract. The vocal tract of a soprano was first scanned in three dimensions using magnetic resonance imaging while she produced four musical notes (A3, E4, D5, and A5) with /a/ and /i/. These images were used to simulate voice production, including the vibratory motion of the vocal folds and the behavior of glottal airflow. Images for the /i/ vowel were used in the simulation, because a good proximity relationship was found between the fundamental frequency and the first impedance peak of the vocal tract. The simulation results revealed that the fundamental frequency (vibration frequency of the vocal folds) was decreased to a large extent by the interaction especially when their natural frequency was in the proximity of the impedance peak. In a specific case, the acoustic load of the vocal tract exerted on the vocal folds changed as a result of the interaction, so the vibratory motion was effectively assisted. These interaction effects were also examined in terms of the phase relation among the temporal waveforms of the glottal variables.
Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

ABSTRACT Nonresponse is a very common phenomenon in survey sampling. Nonignorable nonresponse – that is, a response mechanism that depends on the values of the variable having nonresponse – is the most difficult type of nonresponse to handle. This article develops a robust estimation approach to estimating equations (EEs) by incorporating the modelling of nonignorably missing data, the generalized method of moments (GMM) method and the imputation of EEs via the observed data rather than the imputed missing values when some responses are subject to nonignorably missingness. Based on a particular semiparametric logistic model for nonignorable missing response, this paper proposes the modified EEs to calculate the conditional expectation under nonignorably missing data. We can apply the GMM to infer the parameters. The advantage of our method is that it replaces the non-parametric kernel-smoothing with a parametric sampling importance resampling (SIR) procedure to avoid nonparametric kernel-smoothing problems with high dimensional covariates. The proposed method is shown to be more robust than some current approaches by the simulations.
Smartphone addiction in terms of the elements of loneliness and shyness of university youth

Cep telefonu ve avuc ici bilgisayar teknolojilerini tek bir cihaz icine birlestiren akilli telefonlar gunumuzun populer teknolojik araclari konumundadir. Yeni nesil teknolojinin temel hedef kitlesi ve kullanicisi konumunda olan universite ogrencilerinin iletisim ve bilisim teknolojilerine yonelik ilgi ve meraklari sayesinde, akilli telefon gibi islevselligi daha yuksek olan araclarin gunluk kullanim sureleri hizla artmaktadir. Bu araclarin uzun sureli kullanimi akilli telefon bagimliligi sorununu ortaya cikarmaktadir. Calismanin amaci, akilli telefon bagimlilik duzeyini utangaclik ve yalnizlik acisindan olcmektir. Arastirmanin orneklemini Selcuk Universitesi Iletisim Fakultesinde egitim goren ve akilli telefon kullanicisi olan universite ogrencisi olusturmaktadir. Calismada Akilli Telefon Bagimlilik Olcegi, UCLA Yalnizlik Olcegi ve Utangaclik Olcegi kullanilarak veriler elde edilmistir. Elde edilen veriler isiginda faktor analizi, korelasyon analizi ve regresyon analizi gibi analizler kullanilmistir. Analiz sonuclarina gore; ogrenciler, akilli telefonu daha cok internette gezinmek, sosyal ag hizmetlerini kullanmak ve muzik dinlemek amacli kullanirken, oyun oynamak ve e-kitap okumak icin daha az kullanmaktadir. Akilli telefon bagimliligi faktorleri ile yalnizlik ve utangaclik arasinda pozitif anlamli iliski vardir. Ayrica regrasyon analizindeki bagimli degiskenlerin bagimsiz degiskeni pozitif yonde ve anlamli duzeyde yordadigi gorulmektedir.
Job scope and stress: Can job scope be too high?

This study examined relationships among job scope, perceived fit between job demands and ability, and stress. Data on scope and stress were provided by 418 full-time employees. Ratings of job complexity from the Dictionary of Occupational Titles (DOT) and the Occupational Prestige Index (OP) also measured job scope. All three job scope measures had a U-shaped curvilinear relationship with emotional exhaustion. Anxiety had a negative association with incumbent-reported job scope but none with the DOT and OP measures. Perceived demands-ability fit moderated the relationship between the DOT and OP measures and stress. People with complex jobs who perceived fit experienced less exhaustion and anxiety than those perceiving misfit. In research on job design, leading thinkers have viewed high job scope as functional for organizations and their members. Hackman and Oldham's job characteristics model (1976, 1980) exemplifies this view. Although the magnitude of the motivating potential inherent in job scope
Measurement accuracy enhancement of distributed Brillouin sensors based on gain spectrum engineering

We present for the first time, to the best of our knowledge, a novel method to improve the measurement accuracy of Brillouin optical time-domain analyzers (BOTDA) by engineering the gain spectrum of the Brillouin interaction. As will be shown, the engineered spectrum shape is more robust against noise and leads to a doubled frequency accuracy of the sensor. Since with the proposed method the frequency error is less susceptible to the intrinsic fiber loss, the sensing range can be extended by up to 60%. This work might open a new way to improve the BOTDA sensing performance with an engineered spectrum shape.
The Volatility Effect Revisited

High-risk stocks do not have higher returns than low-risk stocks in all major stock markets. This article provides a comprehensive overview of this low-risk effect, from the earliest asset pricing studies in the 1970s to the most recent empirical findings and interpretations. Volatility appears to be the main driver of the anomaly, which is highly persistent over time and across markets and which cannot be explained by other factors such as value, profitability, or exposure to interest rate changes. From a practical perspective, low-risk investing requires little turnover, volatilities are more important than correlations, low-risk indexes are suboptimal and vulnerable to overcrowding, and other factors can be efficiently integrated into a low-risk strategy. Finally, there is little evidence that the low-risk effect is being arbitraged away because many investors are either neutrally positioned or even on the other side of the low-risk trade. TOPICS: Volatility measures, exchanges/markets/clearinghouses, risk management Key Findings • This article provides a comprehensive overview of the low-risk anomaly, from the earliest asset pricing studies in the 1970s to the most recent empirical findings and interpretations. • The main driver of the anomaly appears to be volatility. The alpha is highly persistent over time and across markets and cannot be explained by other factors such as value, profitability, or exposure to interest rate changes. • There is little evidence that the low-risk effect is being arbitraged away because many investors are either neutrally positioned or even on the other side of the low-risk trade. Low-risk indexes, however, are vulnerable to overcrowded positions.
Gene Expression Data Clustering Using Variance-based Harmony Search Algorithm

ABSTRACT The advancement in microarray technology has led to a flare-up of gene expression data, thus giving rise to need of efficient technique to analyze these massive data-sets. Among the existing techniques, clustering is a well-known technique used for analysis of microarray data. In this paper, a novel metaheuristic clustering approach for analysis of gene expression is proposed. A variance-based harmony search algorithm is used as an underlying metaheuristic algorithm. The performance of the proposed approach has been tested on 6 real-life data-sets and compared with 12 well-known clustering techniques. The experimental results reveal that the proposed technique outperforms the other existing techniques. The statistical and biological significance tests have also been carried out to demonstrate the superiority of the proposed technique.
On orthogonal Ricci curvature

In this paper we discuss some recent progresses in the study of compact Kähler manifolds with positive orthogonal Ricci curvature, a curvature condition defined as the difference between Ricci curvature and holomorphic sectional curvature. In the recent works by authors and the joint work of authors with Q. Wang the comparison theorems, vanishing theorems, and structural theorems for such manifolds have been proved. We also constructed examples of this type of manifolds, and give some classification results in low dimensions. 1. Orthogonal Ricci curvature Let (M, g) be a Kähler manifold of complex dimension n. Its orthogonal Ricci curvature Ric⊥ is defined by (cf. [21]): Ric⊥ XX = Ric(X,X)−R(X,X,X,X)/|X|, where X is a non-zero type (1, 0) tangent vector at a point x ∈ M. This curvature arises in the study of the comparison theorem for Kähler manifolds and the previous study of manifolds with so-called nonnegative quadratic orthogonal bisectional curvature (cf. [4], [26], [16], [5]). We refer the readers to [21] for a more detailed account on this topic. Clearly this curvature is closely related to Ricci curvature Ric and holomorphic sectional curvature H. It is natural to ask, what is the relationship between Ric⊥ and Ric or H (other than the obvious one that Ric⊥ + H = Ric for unit length tangent vectors), and what kind of compact complex manifolds M can admit Kähler metrics with Ric⊥ > 0 (or ≥ 0, or ≤ 0, or < 0, or ≡ 0) everywhere? In this paper, we will focus on the curvature condition Ric⊥ and pay particular attention to the class of compact Kähler manifolds with Ric⊥ > 0 everywhere, except in Section 2 where complete noncompact Kähler manifolds are also considered. Throughout this paper, we will assume that the complex dimension n ≥ 2 unless stated otherwise, since Ric⊥ ≡ 0 when n = 1. We start with the following observation. At a point x ∈ M, let us denote by S2n−1 x the unit sphere of all type (1, 0) tangent vector at x of unit length. By a classic result of Berger, The research of LN is partially supported by NSF grant DMS-1401500 and the “Capacity Building for Sci-Tech Innovation-Fundamental Research Funds”. The research of FZ is partially supported by a Simons Collaboration Grant 355557.
Opening Minds, Improving Lives: Education and Women's Empowerment in Honduras

Juanita was seventeen years old and pregnant with her first child when she began an activity that would "open" her mind. Living in a remote Garifuna village in Honduras, Juanita had dropped out of school after the sixth grade. In 1996, a new educational program, Sistema de Aprendizaje Tutorial (Tutorial Learning System or SAT), was started in her community. The program helped her see the world differently and open a small business. Empowering women through education has become a top priority of international development efforts. Erin Murphy-Graham draws on more than a decade of qualitative research to examine the experiences of Juanita and eighteen other women who participated in the SAT program. Their narratives suggest the simple yet subtle ways education can spark the empowerment process, as well as the role of men and boys in promoting gender equality. Drawing on in-depth interviews and classroom observation in Honduras and Uganda, Murphy-Graham shows the potential of the SAT program to empower women through expanded access and improved quality of secondary education in Latin America and Africa. An appendix provides samples of the classroom lessons.
Taking ownership of accreditation : assessment processes that promote institutional improvement and faculty engagement

This book demonstrates how a participatory approach to assessment and accreditation in their new forms creates a synergy for learner-centered education. It is a guide to approaching the accreditation process from a campus-wide perspective of ownership - illustrated by rich descriptions of how faculty, students, and administrators at California State University Monterey Bay (CUSMB) engaged with and successfully focused their accreditation processes on the improvement of their practices. The approach that the authors describe was driven by a commitment to go beyond satisfying the accreditation expectations so as to promote ongoing and long-term improvement of student learning. It also reflects the shift of responsibility for assessment within institutions from a designated office to individual faculty and staff, entire departments, and the campus as a whole. The authors document strategies that are practical - ready to use or adapt - that are appropriate for all campuses. They also provide guidelines for the documentation process that accreditation demands. They demonstrate how they reduced traditional resistance to assessment by emphasizing its use for the improvement of student learning, helping faculty with their own teaching, and creating frameworks for continuing improvements that are valued by faculty. The authors emphasize the need for every institution to take into account its unique mission, vision, and core values; and to recognize the importance of individual departmental cultures. Although their accreditation ""triggered"" CSUMB's engagement with assessment, the authors discuss other opportunities for jump-starting the process.