Miracle-dz/UniFAR-FTUs huggingface dataset:
The Moderating Effects of Age and Tenure on the Relationship between Organizational Identification and Job Satisfaction

The purpose of this study was to examine the moderating effects of age and tenure on the relationship between organizational identification and job satisfaction. Data were obtained using a survey method fro m a samp le of 180 sales assistants in Istanbul. Two different types of tenure were examined, namely organizat ional tenure and job tenure. Regression analyses were conducted in order to test the moderating effects of age, organizational tenure and job tenure. The results of the study showed that, while age and organizat ional tenure do not moderate the relationship, job tenure moderates the relationship between organizational identification and job satisfaction of employees. Limitations and suggestions for future studies are discussed.
A self-adaptive decentralized multichannel MAC protocol for the cognitive wireless network

In this paper, we propose a multichannel MAC protocol used in the distributed cognitive radio wireless network. The protocol not only carries out the channel, rate and power allocation algorithm according to the QoS requirements and environments that different secondary users have, but also solves the hidden stations and exposed stations problems. Through the simulation results based on the OPNET, we can easily get the conclusion that the protocol can efficiently limit the harmful interference to the primary users and enhance the throughput of the cognitive radio network and spectrum efficiency greatly.
Preparing reading/literacy specialists to meet changes and challenges: International Literacy Association’s Standards 2017

ABSTRACT Lead writers and co-chairs of the International Literacy Association’s Standards 2017 provide a hands on guide to using updated standards for the preparation of reading/literacy specialists. Authors share key changes in content, supporting explanations with updated references, and implications for program faculty, state policymakers, and specialist candidates. Standards 2017 adds a new seventh standard for Practicum/Clinical Experiences and sets high expectations for programs to incorporate candidate experiences with technology, diversity, collaboration, and advocacy. Processes to work with colleagues to design or re-design, implement, and evaluate programs are discussed.
Using Steerable Filters to Map Geological Features from HRAM Data of the Foothills of Northeastern British Columbia, Canada

In the last decade several techniques have been developed to enhance geophysical data in order to extract subtle features that reflect the structural geology of the area. These techniques include curvelet, ridglet and wavelet analysis. Although these techniques provide a powerful tool in extracting linear features from geophysical data, they lack the power to resolve curvilinear or circular features. We believe that curvilinear and circular features are important to map because they reflect certain geological structures such as folds, impact structures and kimberlite pipes that might have significant impact on geophysical data interpretation. For this reason, we tested an image enhancement technique based on steerable filters to map linear, curvilinear and circular features from High Resolution AeroMagnetic (HRAM) data. We tested the steerable filters technique on HRAM data from the Foothills of Northeastern British Columbia. The preliminary results of the test are very encouraging. We were able to extract useful features that appear to be related to the geological structure of the area.
Mutual Belief Revision: Semantics and Computation

This paper presents both a semantic and a computational model for multi-agent belief revision. We show that these two models are equivalent but serve different purposes. The semantic model displays the intuition and construction of the belief revision operation in multi-agent environments, especially in case of just two agents. The logical properties of this model provide strong justifications for it. The computational model enables us to reassess the operation from a computational perspective. A complexity analysis reveals that belief revision between two agents is computationally no more demanding than single agent belief revision.
Impact of Psychopathy on Moral Judgments about Causing Fear and Physical Harm

Psychopathy is a personality variable associated with persistent immoral behaviors. Despite this, attempts to link moral reasoning deficits to psychopathic traits have yielded mixed results with many findings supporting intact moral reasoning in individuals with psychopathic traits. Abundant evidence shows that psychopathy impairs responses to others’ emotional distress. However, most studies of morality and psychopathy focus on judgments about causing others physical harm. Results of such studies may be inconsistent because physical harm is an imperfect proxy for emotional distress. No previous paradigm has explicitly separated judgments about physical harm and emotional distress and assessed how psychopathy affects each type of judgment. In three studies we found that psychopathy impairs judgments about causing others emotional distress (specifically fear) but minimally affects judgments about causing physical harm and that judgments about causing fear predict instrumental aggression in psychopathy. These findings are consistent with reports linking psychopathy to insensitivity to others’ fear, and suggest that sensitivity to others’ fear may play a fundamental role in the types of moral decision-making impaired by psychopathy.
Poisson image restoration with likelihood constraint via hybrid steepest descent method

This paper proposes a likelihood constrained optimization framework for Poisson image restoration. The likelihood constrained problem considered in this paper is the minimization of convex priors over the level set of the negative-log-likelihood function of the Poisson distribution. It has advantages in parameter selection compared with the minimization of the weighted sum of convex priors and the negative-log-likelihood function, which has been used in conventional methods. The level set is characterized as the fixed point set of a certain quasi-nonexpansive operator, which enables us to apply the hybrid steepest descent method to solve the constrained problem. The proposed framework not only can handle the level set of any convex function whose subgradient is available but also does not require any computationally-expensive procedure such as operator inversion and inner loop. Illustrative numerical examples are also presented.
Radio Luminosity, Black Hole Mass and Eddington Ratio for Quasars from the Sloan Digital Sky Survey

We investigate the M-BH-sigma* relation for radio-loud quasars with redshift z < 0.83 in Data Release 3 of the Sloan Digital Sky Survey (SDSS). The sample consists of 3772 quasars with better models of the H beta and [O III] lines and available radio luminosity, including 306 radio-loud quasars, 3466 radio-quiet quasars with measured radio luminosity or upper-limit of radio luminosity (181 radio-quiet quasars with measured radio luminosity). The virial supermassive black hole mass (M-BH) is calculated from the broad H beta line, and the host stellar velocity dispersion (sigma*) is traced by the core [O III] gaseous velocity dispersion. The radio luminosity and radio loudness are derived from the FIRST catalog. Our results are as follows: (1) For radio-quiet quasars, we confirm that there is no obvious deviation from the M-BH-sigma* relation defined for inactive galaxies when the uncertainties in M-BH and the luminosity bias are concerned. (2) We find that the radio-loud quasars deviate more from the M-BH-sigma* relation than do the radio-quiet quasars. This deviation is only partly due to a possible cosmological evolution of the M-BH-sigma* relation and the luminosity bias. (3) The radio luminosity is proportional to M-BH(1.28-0.16+.023) (L-Bol/L-Edd)(1.29-0.24+0.31) for radio-quiet quasars and to M-BH(3.10-0.70+0.60) (L-Bol/L-Edd)(4.18-1.10+1.40) for radio-loud quasars. The weaker dependence of the radio luminosity on the mass and the Eddington ratio for radio-loud quasars shows that other physical effects would account for their radio luminosities, such as the spin of the black hole.
Pharmacokinetics and Pharmacodynamics of Insulin Glargine Given in the Evening as Compared With in the Morning in Type 2 Diabetes

OBJECTIVE To compare pharmacokinetics (PK) and pharmacodynamics (PD) of insulin glargine in type 2 diabetes mellitus (T2DM) after evening versus morning administration. RESEARCH DESIGN AND METHODS Ten T2DM insulin-treated persons were studied during 24-h euglycemic glucose clamp, after glargine injection (0.4 units/kg s.c.), either in the evening (2200 h) or the morning (1000 h). RESULTS The 24-h glucose infusion rate area under the curve (AUC0–24h) was similar in the evening and morning studies (1,058 ± 571 and 995 ± 691 mg/kg × 24 h, P = 0.503), but the first 12 h (AUC0–12h) was lower with evening versus morning glargine (357 ± 244 vs. 593 ± 374 mg/kg × 12 h, P = 0.004), whereas the opposite occurred for the second 12 h (AUC12–24h 700 ± 396 vs. 403 ± 343 mg/kg × 24 h, P = 0.002). The glucose infusion rate differences were totally accounted for by different rates of endogenous glucose production, not utilization. Plasma insulin and C-peptide levels did not differ in evening versus morning studies. Plasma glucagon levels (AUC0–24h 1,533 ± 656 vs. 1,120 ± 344 ng/L/h, P = 0.027) and lipolysis (free fatty acid AUC0–24h 7.5 ± 1.6 vs. 8.9 ± 1.9 mmol/L/h, P = 0.005; β-OH-butyrate AUC0–24h 6.8 ± 4.7 vs. 17.0 ± 11.9 mmol/L/h, P = 0.005; glycerol, P < 0.020) were overall more suppressed after evening versus morning glargine administration. CONCLUSIONS The PD of insulin glargine differs depending on time of administration. With morning administration insulin activity is greater in the first 0–12 h, while with evening administration the activity is greater in the 12–24 h period following dosing. However, glargine PK and plasma C-peptide levels were similar, as well as glargine PD when analyzed by 24-h clock time independent of the time of administration. Thus, the results reflect the impact of circadian changes in insulin sensitivity in T2DM (lower in the night-early morning vs. afternoon hours) rather than glargine per se.
How Valuable is External Link Evidence When Searching Enterprise Webs?

Link information, especially anchor text, is known to be very useful for effective ranking of web pages, particularly in response to navigational queries. We investigated whether enterprise webs contain sufficient internal link information to adequately answer queries derived from the enterprise's site map or, alternatively, whether adding link evidence from the external Web can boost search effectiveness. Using 1266 navigational queries derived from Stanford University's A-Z site index, we found no difference between the quality of results returned by Stanford's Google appliance and those from an appropriately site-restricted search of the global Google service. Applying similar methodology to our own crawls of seven Australian organisations, we found that adding external link evidence made no significant difference to search effectiveness in five cases and a slight difference (in different directions) in the other two. We observed that external links to an organisation show very different patterns to internal links. Unlike enterprise web publishers, external web authors heavily favour directory default pages, particularly the organisation's home page and pages offering information or services likely to be useful on an ongoing basis. External links seldom reference the complex, parameterised URLs in common use in many organisations.
Reduction of encoding delay in compression of binary sources using turbo codes: A two-stage algorithm

An iterative algorithm is presented in the literature, to losslessly compress binary sources by using turbo codes. This algorithm searches for the smallest codeword length to guarantee zero distortion; and offers promising compression rates at the expense of large encoding delays. In this work we propose an improved encoding algorithm that works in two stages. At the first stage we estimate the codeword length. The estimated length does not guarantee zero distortion; however, we set a criterion to make sure that the distortion is below a defined threshold. At the second stage we improve our estimation to remove the remaining distortion and achieve lossless compression. Our simulations show that by careful choice of parameters: (i) our proposed algorithm achieves the same average compression rate as the algorithm appearing in the literature, and (ii) the delay introduced by our proposed algorithm, which is the sum of delays introduced by first and second stages, is less than the delay introduced by the algorithm appearing in the literature.
Benzoxazolone Carboxamides: Potent and Systemically Active Inhibitors of Intracellular Acid Ceramidase**

The ceramides are a family of bioactive lipid-derived messengers involved in the control of cellular senescence, inflammation, and apoptosis. Ceramide hydrolysis by acid ceramidase (AC) stops the biological activity of these substances and influences survival and function of normal and neoplastic cells. Because of its central role in the ceramide metabolism, AC may offer a novel molecular target in disorders with dysfunctional ceramide-mediated signaling. Here, a class of benzoxazolone carboxamides is identified as the first potent and systemically active inhibitors of AC. Prototype members of this class inhibit AC with low nanomolar potency by covalent binding to the catalytic cysteine. Their metabolic stability and high in vivo efficacy suggest that these compounds may be used as probes to investigate the roles of ceramide in health and disease, and that this scaffold may represent a promising starting point for the development of novel therapeutic agents.
Board-Level Functional Fault Diagnosis Using Artificial Neural Networks, Support-Vector Machines, and Weighted-Majority Voting

Increasing integration densities and high operating speeds lead to subtle manifestation of defects at the board level. Functional fault diagnosis is, therefore, necessary for board-level product qualification. However, ambiguous diagnosis results lead to long debug times and even wrong repair actions, which significantly increase repair cost and adversely impact yield. Advanced machine-learning (ML) techniques offer an unprecedented opportunity to increase the accuracy of board-level functional diagnosis and reduce high-volume manufacturing cost through successful repair. We propose a smart diagnosis method based on two ML classification models, namely, artificial neural networks (ANNs) and support-vector machines (SVMs) that can learn from repair history and accurately localize the root cause of a failure. Fine-grained fault syndromes extracted from failure logs and corresponding repair actions are used to train the classification models. We also propose a decision machine based on weighted-majority voting, which combines the benefits of ANNs and SVMs. Three complex boards from the industry, currently in volume production, and additional synthetic data, are used to validate the proposed methods in terms of diagnostic accuracy, resolution, and quantifiable improvement over current diagnostic software.
Optimization of multi-pressure himidification-dehumidification desalination using thermal vapor compression and hybridization

Humidification-dehumidification (HD or HDH) desalination, and specifically HD driven by a thermal vapor compressor (TVC), is a thermal desalination method that has the potential to produce potable water efficiently in order to address the growing demand for water. This article presents a numerical study and optimization of two HD-TVC cycle configurations in order to determine the best achievable thermal performance. Through the use of nonlinear programming, it is found that the simplest configuration of HD-TVC has performance comparable to a traditional single-stage, single-pressure HD cycle (GOR ≈ 0.8–2.0), while the hybridized HD-TVC cycle with reverse osmosis (RO) has thermal performance that is competitive with existing large scale desalination systems (GOR ≈ 11.8–
Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems

We consider stochastic variational inequality problems where the mapping is monotone over a compact convex set. We present two robust variants of stochastic extragradient algorithms for solving such problems. Of these, the first scheme employs an iterative averaging technique where we consider a generalized choice for the weights in the averaged sequence. Our first contribution is to show that using an appropriate choice for these weights, a suitably defined gap function attains the optimal rate of convergence of O(1/k). In the second part of the paper, under an additional assumption of weak-sharpness, we update the stepsize sequence using a recursive rule that leverages problem parameters. The second contribution lies in showing that employing such a sequence, the extragradient algorithm possesses almost-sure convergence to the solution as well as convergence in a mean-squared sense to the solution of the problem at the rate O(1/k). Motivated by the absence of a Lipschitzian parameter, in both schemes we utilize a locally randomized smoothing scheme. Importantly, by approximating a smooth mapping, this scheme enables us to estimate the Lipschitzian parameter. The smoothing parameter is updated per iteration and we show convergence to the solution of the original problem in both algorithms.
Handedness, cognitive processing and intelligence in patients with epilepsy

Summary Introduction The current knowledge of significance of some neurobiological and clinical variables for the development of cognitive deterioration in patients with epilepsy remains sparse and controversial. Aim The current study has been carried out in order to elucidate the role of handedness in terms of influence on cognitive processing and intelligence in patients with epilepsy. Material and methods One hundred and thirty two patients (62 males, 70 females, aged 27.8 ± 8.9 years) with epilepsy participated in the study. Patients were divided into two groups. The first group included 112 patients that were characterized by intelligence and cognitive impairment while the second group (20 patients) had no mental deterioration and was regarded as controls. The two diagnostic categories accorded with ICD-10 criteria. The diagnosis of Dementia (F-02.8) was confirmed in 54 patients, while the diagnosis of Mild Cognitive Impairment (F-06.7) was confirmed in 58 patients. Results Our results show that the level of left-handers among patients with cognitive Impairment achieved 14.2%, whilst in the group without cognitive deterioration there were no left-handers, and this difference was statistically significant (p = 0.051). An analysis of possible influence of motor lateralization on degree of cognitive deterioration, revealed that left-handedness determines the higher degrees of intelligence deterioration compared with right-handedness (χ2=6.64; p < 0,05). These data were confirmed by use of Wechsler Adult Intelligence Scale (WAIS) and the Mini Mental State Examination (MMSE) tests, and all left-handed epilepsy patients achieved lower scores on MMSE, total WAIS, as well as verbal and nonverbal WAIS scores. Conclusion Our data confirm a role of some neurobiological variables, with emphasis on cerebral motor lateralization, in their influence upon intelligence level and cognitive deterioration in epilepsy. These data may be used for predictive purposes of intelligence assessment in patients with epilepsy.
The role of social workers in mental health care: A study of primary care centers in Mexico

In Mexico, people with limited resources who seek specialized attention in mental health generally go to primary health care, where their first contact is with social workers. There is little information about the activities of social workers in the field of mental health, and little recognition of their role. The aim of this study is to characterize the role of the social workers in health centers in Mexico City. We used an exploratory sequential mixed methods design (QUAL → quan) in two phases. The first phase consisted of interviews with 15 social workers, and the second a survey of 92. The qualitative information was analyzed through the establishment of categories and subcategories, and the quantitative data using descriptive statistics. The results of the two phases were then triangulated. The majority of the social workers had specialized diplomas from technical high schools, with little training in mental health. They identified two types of patients, those with mental illness and those with emotional problems; the latter were the most common patients in the health centers. Patients with mental illness were given information and referred to specialists; those with emotional problems were given orientation, counseling, and referrals, and above all, they were listened to. We believe that these activities are important: given the shortage of specialists, they offer patients a space for catharsis, for venting their emotions. Social workers receive little recognition for this labor, a fact related to an institutional reproduction of medical authority that does not take into account the social view of illness.
The Social Networks of Teens and Young Adults

There is a link between the degree to which the mem-bers of a social network are in contact through vari-ous forms of media and the degree to which the groupmembers are in physically copresent contact. It hasbeen noted that there is indeed a type of stability inthe interaction of social networks in spite of local dis-ruptions associated with the interaction of particulardyads (Ebel, Mielsch and Bornholdt 2002; Kossinetsand Watts 2006). This suggests that the density of contact is a usefulpredictor of the propensity for adopting for exampleinternet or mobile phone based social networkingapplications. The idea is that the more intense theweb of interaction, the more the members have acommon sense of the group. Given this commonsense of one another, it is easy to suggest that socialnetworking applications can be adopted, adjusted andused for the various purposes of the group.The density of social interaction is not necessarilydependent on the density of only mediated interac-tion. Indeed, in many cases mediated interaction isonly a small portion of the total interaction budget ofa group. The interactions that are most essential forthe development and elaboration of viable groupinteraction are co-located contact (Collins 2004; Lingforthcoming). Following this thought, teens oftenhave a better milieu in which to develop these socialnetworks since they are in daily contact with othersame aged individuals both in the context of schooland in their leisure time activities. The material hereexamines how the social networks of teen males andof young adult females function.