Miracle-dz/UniFAR-FTUs huggingface dataset:
ABUSIVE SUPERVISION AND PROSOCIAL ORGANIZATIONAL BEHAVIOR: A STUDY OF WORKERS IN THE BANKING INDUSTRY IN NIGERIA

The study examined the relationship between subordinates’ perceptions of abusive supervision and their reports of prosocial organizational behavior. The study involved 335 bankers selected from 15 commercial banks in Lagos, Nigeria (160 men and 175 women). As predicted, subordinates’ perceptions of abusive supervision was negatively related with their prosocial organizational behaviors. With regards to the various dimensions of prosocial behavior, abusive supervision had significant negative relationship with prosocial behavior directed to the organization and to individuals but was not significantly related to role-prescribed behaviors. The implications of these results for management practice were discussed and suggestions were made for future research.
Self Configuration Analog Circuit by FPAA

The free programmable analog arrays (FPAA) circuits allow the using of dynamically reconfigurable analogue electric circuits that are most suitable for the desired functions. This is of major importance in the case of wide area of the using of analog circuit in any place of the electronic. From other spot we can say by the help of the FPAA and microcontroller (MCU) we can generate-, and/or fine tune lots of the adaptive circuits.
Rethinking a Negative Event: The Affective Impact of Ruminative versus Imagery-Based Processing of Aversive Autobiographical Memories

Introduction Ruminative (abstract verbal) processing during recall of aversive autobiographical memories may serve to dampen their short-term affective impact. Experimental studies indeed demonstrate that verbal processing of non-autobiographical material and positive autobiographical memories evokes weaker affective responses than imagery-based processing. In the current study, we hypothesized that abstract verbal or concrete verbal processing of an aversive autobiographical memory would result in weaker affective responses than imagery-based processing. Methods The affective impact of abstract verbal versus concrete verbal versus imagery-based processing during recall of an aversive autobiographical memory was investigated in a non-clinical sample (n = 99) using both an observational and an experimental design. Observationally, it was examined whether spontaneous use of processing modes (both state and trait measures) was associated with impact of aversive autobiographical memory recall on negative and positive affect. Experimentally, the causal relation between processing modes and affective impact was investigated by manipulating the processing mode during retrieval of the same aversive autobiographical memory. Results Main findings were that higher levels of trait (but not state) measures of both ruminative and imagery-based processing and depressive symptomatology were positively correlated with higher levels of negative affective impact in the observational part of the study. In the experimental part, no main effect of processing modes on affective impact of autobiographical memories was found. However, a significant moderating effect of depressive symptomatology was found. Only for individuals with low levels of depressive symptomatology, concrete verbal (but not abstract verbal) processing of the aversive autobiographical memory did result in weaker affective responses, compared to imagery-based processing. Discussion These results cast doubt on the hypothesis that ruminative processing of aversive autobiographical memories serves to avoid the negative emotions evoked by such memories. Furthermore, findings suggest that depressive symptomatology is associated with the spontaneous use and the affective impact of processing modes during recall of aversive autobiographical memories. Clinical studies are needed that examine the role of processing modes during aversive autobiographical memory recall in depression, including the potential effectiveness of targeting processing modes in therapy.
Water chemisorption and reconstruction of the MgO surface.

Cavendish Laboratory, University of Cambridge, Madingley Road, Cambridge CB3 0HE(December 6, 1994)The observed reactivity of MgO with water is in apparent conﬂict with theoretical calculationswhich show that molecular dissociation does not occur on a perfect (001) surface. We have per-formed ab-initio total energy calculations which show that a chemisorption reaction involving areconstruction to form a (111) hydroxyl surface is strongly preferred with ∆E = −90.2 kJ mol
k-jump strategy for preserving privacy in micro-data disclosure

In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the private information contained in such data must be limited to an acceptable level. Recent studies show that adversarial inferences using knowledge about a disclosure algorithm can usually render the algorithm unsafe. In this paper, we show that an existing unsafe algorithm can be transformed into a large family of distinct safe algorithms, namely, k-jump algorithms. We prove that the data utility of different k-jump algorithms is generally incomparable. Therefore, a secret choice can be made among all k-jump algorithms to eliminate adversarial inferences while improving the data utility of disclosed micro-data.
A pilot study on the neurometric evaluation of “effective” and “ineffective” antismoking public service announcements

Tobacco use is the leading cause of preventable death and smoking-related illness worldwide. Research has shown that antismoking advertising may help reduce this habit. Nowadays, public service announcements (PSAs) are considered “Effective” or “Ineffective” on the base of official reports concerning behavioral/attitudinal changes toward healthier patterns and health-related savings following the exposure to the PSA. In this pilot study, we described the results of the use of three neurometric indexes for the evaluation of the efficacy of a couple of antismoking PSAs in a reduced sample of voluntary participants. The study applied the gathering of the electroencephalographic (EEG) rhythms variations, as well as the heart rate (HR) and galvanic skin response (GSR). The neurometric indicators here employed were the Approach-Withdrawal (AW), the Effort (EfI) and the Emotional (EI) indexes. Results suggest a significant higher values for AW, Effort and Emotional indexes (p=0,02; p= 0,03 and p= 0,01 respectively) related to the perception of the “Effective” antismoking PSAs against the perception of the “Ineffective” one. Since this is a pilot study, the results obtained need further investigation, in terms of enlarged stimuli sample and number of participants to provide indications concerning the relevant features to be included in the realization of effective anti-smoking PSAs.
The effects of response stimuli interval on error priming in sequential object naming

Two experiments are reported, which examine the effect of altering response stimulus interval on the positive and negative error priming effects found during sequential object naming. Positive error priming refers to errors that relate to earlier responses at above chance rates. Negative error priming refers to the absence of errors that refer to the immediately preceding trial in particular (Lag 1), and this has been interpreted as a brief inhibitory effect. In Experiment 1, a series of pictures of animals were presented, with either 4 or 8sec intervening between response and next stimulus (RSI). Positive and negative error priming was evident in both conditions, though the positive error priming appeared to be attributable to only a subsection of the participants. Errors began to emerge at shorter lags in the 8sec RSI condition than the 4sec RSI condition, and this is inconsistent with any account which suggests inhibition is released after the next trial. In Experiment 2, the RSIs between related animal pictures were just over 8 and 16sec, and an intervening unrelated item was included between related pictures. Lag 1 errors were now the most frequent response in the long RSI condition, and there was an increase in the incidence of Lag 1 errors across RSI conditions. A preliminary assessment of the effects of adding an unrelated item suggested that it may cause a partial release from inhibition. Taken together, the data are consistent with the theory that inhibition decays over time, and the results are discussed with reference to other inhibitory effects in cognition.
Which Statistics Reflect Semantics? Rethinking Synonymy and Word Similarity

A great deal of work has been done of late on the statistical modeling of word similarity relations (cf.Schütze (1992), Lund and Burgess (1996) Landauer and Dumais (1997), Lin (1998), Turney (2001)). While this has largely been viewed as an engineering task (with the notable exception of much writing on Latent Semantic Analysis (LSA)), the relative success of different approaches to constructing word similarity measures is highly relevant to issues in theoretical semantics and language acquisition. With this background in mind, this paper has two main aims. First, we will present yet another statistical approach to the calculation of word-similarity scores (LC-IR), which significantly outperforms other methods on standard benchmarks including the 80-question set of TOEFL® synonym test items first employed by Landauer and Dumais (1997). 1 Second, we hope to demonstrate that
Is enough attention given to climate change in health service planning? An Australian perspective

Background Within an Australian context, the medium to long-term health impacts of climate change are likely to be wide, varied and amplify many existing disorders and health inequities. How the health system responds to these challenges will be best considered in the context of existing health facilities and services. This paper provides a snapshot of the understanding that Australian health planners have of the potential health impacts of climate change. Methods The first author interviewed (n=16) health service planners from five Australian states and territories using an interpretivist paradigm. All interviews were digitally recorded, key components transcribed and thematically analysed. Results Results indicate that the majority of participants were aware of climate change but not of its potential health impacts. Despite this, most planners were of the opinion that they would need to plan for the health impacts of climate change on the community. Conclusion With the best available evidence pointing towards there being significant health impacts as a result of climate change, now is the time to undertake proactive service planning that address market failures within the health system. If considered planning is not undertaken then Australian health system can only deal with climate change in an expensive ad hoc, crisis management manner. Without meeting the challenges of climate change to the health system head on, Australia will remain unprepared for the health impacts of climate change with negative consequences for the health of the Australian population.
Virtual strings for closed curves with multiple components and filamentations for virtual links

A Gauss paragraph is a combinatorial formulation of a generic closed curve with multiple components on some surface. A virtual string is a collection of circles with arrows that represent the crossings of such a curve. Every closed curve has an underlying virtual string and every virtual string has an underlying Gauss paragraph. A word-wise partition is a partition of the alphabet set of a Gauss paragraph that satisfies certain conditions with respect to the Gauss paragraph. In this paper we use the theory of virtual strings to obtain a combinatorial description of closed curves in the 2-sphere (and therefore 2-dimensional Euclidean space) in terms of Gauss paragraphs and word-wise partitions.
Automatic Detection and Parameterization of Manual Bag-Mask Ventilation on Newborns

Objectives: Birth asphyxia is a condition where a fetus suffers from lack of oxygen during birth. Intervention by manual ventilation should start within one minute after birth. Bag-mask resuscitators are commonly used in situations where ventilation is provided by a single health care worker. Due to a high complexity of interactions between physiological conditions of the newborns and the clinical treatment, the recommendations for bag-mask ventilation of infants remains controversial. The purpose of this paper is to illustrate the processing and parameterization of ventilation signals recorded from the Laerdal newborn resuscitation monitor into meaningful data. Methods: Basic signal processing approaches are applied on various signal channels (airway pressure, flow, CO$_2$, and ECG) to detect events related to ventilation activities. Results: Different types of events are detected and parameterized to describe the characteristics of ventilation procedure. Conclusions: Efficient detection algorithms as well as parameterization of ventilation events could be useful for retrospective analysis of resuscitation data, for example, by finding the association between different ventilation parameters and positive responses of newborns. Significance: Information about ventilation events and ventilation parameters could potentially be useful during a resuscitation situation by giving immediate feedback to the health care provider.
Detection of Internet Traffic Anomalies Using Sparse Laplacian Component Analysis

We consider the problem of anomaly detection in network traffic. It is a challenging problem because of high-dimensional and noisy nature of network traffic. A popularly used technique is subspace analysis. Principal component analysis (PCA) and its improvements have been applied for subspace analysis. In this work, we take a different approach to determine the subspace, and propose to capture the essence of the traffic using the eigenvectors of graph Laplacian, which we refer as Laplacian components (LCs). Our main contribution is to propose a regression framework to compute LCs followed by its application in anomaly detection. This framework provides much flexibility in incorporating different properties into the LCs, notably LCs with sparse loadings, which we exploit in detail. Furthermore, different from previous work that uses sample graphs to preserve local structure, we advocate modelling with a dual-input feature graph that encodes the correlation of the time series data and prior information. Therefore, the proposed model can readily incorporate the 'physics' of some applications as prior information to improve the analysis. We perform experiments on volume anomaly detection using only link-based traffic measurements. We demonstrate that the proposed model can correctly uncover the essential low-dimensional principal subspace containing the normal Internet traffic and achieve outstanding detection performance.
Optimal Footprint Symbiosis in Shared Cache

On multicore processors, applications are run sharing the cache. This paper presents online optimization to collocate applications to minimize cache interference to maximize performance. The paper formulates the optimization problem and solution, presents a new sampling technique for locality analysis and evaluates it in an exhaustive test of 12,870 cases. For locality analysis, previous sampling was two orders of magnitude faster than full-trace analysis. The new sampling reduces the cost by another two orders of magnitude. The best prior work improves co-run performance by 56% on average. The new optimization improves it by another 29%. When sampling and optimization are combined, the paper shows that it takes less than 0.1 second analysis per program to obtain a co-run that is within 1.5% of the best possible performance.
L-band Soil Moisture mapping using a suas for validation and calibration of SMAP

Soil moisture is of fundamental importance to many hydrological, biological and biogeochemical processes, plays an important role in the development and evolution of convective weather and precipitation, and impacts water resource management, agriculture, and flood runoff prediction. The launch of NASA's Soil Moisture Active/Passive (SMAP) mission in 2015 promises to provide new passive global measurements of soil moisture and surface freeze/thaw state at fixed crossing times and spatial resolutions of ~30 km. With the failure of the SMAP radar there exists a need for measurements of soil moisture on much smaller spatial scales and arbitrary diurnal times for SMAP validation, precision agriculture, evaporation and transpiration studies of boundary layer heat transport, and tundra thaw studies. The Lobe Differencing Correlation Radiometer (LDCR) provides a means of mapping soil moisture on spatial scales as small as several meters (i.e., the height of the platform). Compared with various other proposed methods of validation based on either in situ measurements or existing airborne sensors suitable for manned aircraft deployment, the integrated design of the LDCR on a lightweight small unmanned aerial system (sUAS) is capable of providing sub-watershed (~km scale) coverage at very high spatial resolution (~15 m) suitable for scaling scale studies. This sUAS, the Tempest, flies at very low operator cost compared to manned aircraft. To demonstrate the LDCR several flights had been performed during a field experiment at the Canton Oklahoma Soilscape site on September 8th and 9th, 2015. These tests were flown at 25-35 m altitude to obtain differing spatial resolutions. The LDCR brightness temperature and soil moisture mapping algorithm will be analyzed, and scientific intercomparisons of LDCR, SMAP and SMOS data along with situ measurements will be presented.
Volume-based haptic model for bone-drilling

For bone surgery haptic simulation, we need to consider both volume cutting deformation and stable force feedback. In this paper, we propose a volume-based haptic model where both bone and a tool are represented by voxel-based models so that we can handle shape deformation of bone efficiently. For fast and stable haptic rendering, we propose that the tool is represented by a signed-distance field and the bone surface is tracked by a set of points, called a point shell. In order to handle shape deformation of bone while drilling, fast reconstruction of point shell points are performed locally based on the voxel properties of bone and the tool.
A posteriori estimates of inverse operators for boundary value problems in linear elliptic partial differential equations

This paper presents constructive a posteriori estimates of inverse operators for boundary value problems in linear elliptic partial diﬀerential equations (PDEs) on a bounded domain. This type of estimate plays an im-portant role in the numerical veriﬁcation of the solutions for boundary value problems in nonlinear elliptic PDEs. In general, it is not easy to obtain the a priori estimates of the operator norm for inverse elliptic operators. Even if we can obtain these estimates, they are often over estimated. Our proposed a posteriori estimates are based on ﬁnite-dimensional spectral norm estimates for the Galerkin approximation and expected to converge to the exact operator norm of inverse elliptic operators. This provides more accurate estimates, and more eﬃcient veriﬁcation results for the solutions of nonlinear problems.
Fixed dosing and pharmacokinetics of S-1 in Japanese cancer patients with large body surface areas.

BACKGROUND S-1 is an oral anticancer agent that combines tegafur (FT) with 5-chloro-2,4-dihydroxypyridine (CDHP) and potassium oxonate. The recommended initial dose of S-1 is 120 mg/day for patients with a body surface area (BSA) of > or =1.5 m(2) in Japan. METHODS We examined the effects of using this fixed dose on the pharmacokinetics of FT, CDHP, and active 5-fluorouracil (5-FU) on the basis of actual BSA. The pharmacokinetics was compared between patients with a BSA of 1.5-1.75 m(2) and those with a BSA of > or =1.75 m(2). RESULTS The median areas under the time-concentration curves (AUCs) of 5-FU and CDHP were significantly lower in patients with a BSA of > or =1.75 m(2) than in those with a BSA of 1.5-1.75 m(2) (P = 0.005 and 0.006, respectively; Mann-Whitney U-test). There was no difference between the groups in the median AUC of FT. CONCLUSION Systemic exposure to 5-FU is significantly lower in Japanese cancer patients with a large BSA of >1.75 m(2) who received the recommended fixed dose of S-1.
Prolonged NF-κB Activation by a Macrophage Inhibitory Cytokine 1-Linked Signal in Enteropathogenic Escherichia coli-Infected Epithelial Cells

ABSTRACT Intestinal epithelial activation of nuclear factor kappa B (NF-κB) exerts both detrimental and beneficial functions in response to various luminal insults, including ones associated with mucosa-associated pathogens. Gastrointestinal infection with enteropathogenic Escherichia coli (EPEC) causes severe injuries in epithelial integrity and leads to watery diarrhea. The present study was conducted to investigate the prolonged epithelial responses to persistent EPEC infection via NF-κB activation. EPEC infection led to sustained activation of NF-κB signal in mouse intestinal epithelial cells in vivo and in vitro, which was positively associated with a type III secretion system, whereas early NF-κB is regulated. Moreover, prolonged NF-κB activation was found to be a part of macrophage inhibitory cytokine 1 (MIC-1)-mediated signaling activation, a novel link between NF-κB signaling and infection-associated epithelial stress. EPEC infection induced gene expression of MIC-1, a member of the transforming growth factor β (TGF-β) superfamily, which then activated TGF-β-activated kinase 1 and consequently led to NF-κB activation. Functionally, both EPEC-induced MIC-1 and NF-κB signaling mediated epithelial survival by enhancing the expression of cyclin D1, a target of NF-κB. In summary, the results of the present study suggest that MIC-1 serves as a mediator of prolonged NF-κB activation, which is critical in maintaining gut epithelial integrity in response to infection-induced injuries.
Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions

Synchronization, in which individual dynamical units keep in pace with each other in a decentralized fashion, depends both on the dynamical units and on the properties of the interaction network. Yet, the role played by the network has resisted comprehensive characterization within the prevailing paradigm that interactions facilitating pairwise synchronization also facilitate collective synchronization. Here we challenge this paradigm and show that networks with best complete synchronization, least coupling cost, and maximum dynamical robustness, have arbitrary complexity but quantized total interaction strength, which constrains the allowed number of connections. It stems from this characterization that negative interactions as well as link removals can be used to systematically improve and optimize synchronization properties in both directed and undirected networks. These results extend the recently discovered compensatory perturbations in metabolic networks to the realm of oscillator networks and demonstrate why “less can be more” in network synchronization.