Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotional intelligence and leader member exchange

Purpose – The purpose of this paper is to examine the mediating effect of leader member exchange (LMX) on the relationship between followers' emotional intelligence and the outcomes of turnover intention and job satisfaction.Design/methodology/approach – Using a longitudinal design, survey data were collected from 579 employees within a private pathology company. Measures of emotional intelligence and LMX were collected at Time 1 and employee turnover intentions and job satisfaction were collected at Time 2.Findings – The results show the quality of LMX mediates the relationship between follower emotional intelligence and both turnover intention and job satisfaction.Research limitations/implications – A limitation is the use of a self‐report measure of emotional intelligence. While this published measure has been shown to be valid and reliable, there are debates over the validity of self‐report measures of emotional intelligence.Practical implications – The authors contend that encouraging more emotionall.
Characterization of photodynamic therapy responses elicited in A431 cells containing intracellular organelle‐localized photofrin

Photodynamic therapy (PDT), a photochemotherapeutic regimen used to treat several diseases, including cancer, exerts its effects mainly through induction of cell death. Using human epidermoid carcinoma A431 cells as a model, we previously showed that distinct cell death types could be triggered by protocols that selectively delivered Photofrin (a clinically approved photosensitizer) to different subcellular sites (Hsieh et al. [2003] J Cell Physiol 194: 363–375]. Here, the responses elicited by PDT in A431 cells containing intracellular organelle‐localized Photofrin were further characterized. Two prominent cell phenotypes were observed under these conditions: one characterized by perinuclear vacuole (PV) formation 2–8 h after PDT followed by cell recovery or shrinkage within 48 h, and a second characterized by typical apoptotic features appearing within 4 h after PDT. DCFDA‐sensitive reactive oxygen species formed proximal to PVs during the response to PDT, covering areas in which both endoplasmic reticulum (ER) and the Golgi complex were located. Biochemical analyses showed that Photofrin‐PDT also induced JNK activation and altered the protein secretion profile. A more detailed examination of PV formation revealed that PVs were derived from the ER. The alteration of ER structure induced by PDT was similar to that triggered by thapsigargin, an ER Ca2+‐ATPase inhibitor that perturbs Ca2+ homeostasis, suggesting a role for Ca2+ in the formation of PVs. Microtubule dynamics did not significantly affect PV formation. This study demonstrates that cells in which intracellular organelles are selectively loaded with Photofrin mount a novel response to ER stress induced by PDT. J. Cell. Biochem. 111: 821–833, 2010. © 2010 Wiley‐Liss, Inc.
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems

Over the past decade Spiking Neural Networks (SNN) have emerged as one of the popular architectures to emulate the brain. In SNN, information is temporally encoded and communication between neurons is accomplished by means of spikes. In such networks, spike-timing dependent plasticity mechanisms require the online programming of synapses based on the temporal information of spikes transmitted by spiking neurons. In this work, we propose a spintronic synapse with decoupled spike transmission and programming current paths. The spintronic synapse consists of a ferromagnet-heavy metal heterostructure where programming current through the heavy metal generates spin-orbit torque to modulate the device conductance. Low programming energy and fast programming times demonstrate the efficacy of the proposed device as a nanoelectronic synapse. We perform a simulation study based on an experimentally benchmarked device-simulation framework to demonstrate the interfacing of such spintronic synapses with CMOS neurons and learning circuits operating in transistor sub-threshold region to form a network of spiking neurons that can be utilized for pattern recognition problems.
A Retrospective Observational Study Examining the Effect of Thoracic Epidural and Patient Controlled Analgesia on Short-term Outcomes in Blunt Thoracic Trauma Injuries

AbstractEffective analgesia in the early stages after any major traumatic event remains pivotal to optimal trauma management. For patients with significant thoracic injuries, this is paramount to ensure ongoing efficient respiratory function. The aim of this study was to investigate the use of analgesic modes in the management of patients with a primary thoracic injury and blunt mechanism of injury. By understanding variables that influence the use of varying analgesic modes and influence the development of pulmonary complications, there should be more uniform evidence-based prescription in the future.This retrospective study considered analgesic use in patients admitted after blunt thoracic injuries at one major trauma center over a 2-year period. Pulmonary complications measured included both infective and ventilator-associated failure. Univariate and multivariate analyses were used to identify patient and injury severity characteristics and their association with respiratory complications.A total of 401 cases were reviewed and analyzed: 159 received Patient Controlled Analgesia (PCA), 32 received PCA and epidural analgesia (EA), 6 received EA alone, and 204 received interval-administered analgesia. There were no significant differences in the rates of complication when compared between analgesic modes. Patients who developed pneumonia had significantly increased number of thoracic fractures and underlying organ injury (P < 0.05). Logistic regression analysis highlighted duration of intercostal drain insertion (OR 1.377, P = 0.001) and premorbid cardiac disease (OR 2.624, P = 0.042) and ICU length of stay (OR: 1.146, P < 0.001) as significant predictors of developing pneumonia in this patient group.Examining the different analgesic modes, this study failed to identify a particular analgesic mode that was more effective in preventing pulmonary complications in blunt thoracic injuries. However, variables that may influence usage of different analgesic modes and high-risk groups for the development of pneumonia were identified. Further work is warranted to consider the long-term benefits of analgesia in patients post-blunt thoracic injuries.
GROUNDWATER EXTERNALITIES WITH ENDOGENOUS WELL DEEPENING

We develop a dynamic groundwater model that incorporates both groundwater pumping and investment in deeper wells and apply the model to the arid, alluvial aquifer region of Northern India that is experiencing rapid depletion. We compute the potential benefits of regulating groundwater use by comparing the net benefits of groundwater under optimal management to the net benefits under a common pool regime with two different cost structures: one with flat electricity tariffs, which are widespread in India, and a second with full marginal cost electricity pricing. Using numerical simulation, we find that the opportunity to invest in deeper wells significantly exacerbates the common pool problem and suggests the potential for large benefits (66% of common pool benefits) from optimally managing groundwater use or new drilling. Flat tariffs exacerbate the problem, but large gains (almost 23%) remain even if farms are charged the full marginal cost of electricity.
Computer Simulations of Alzheimers Amyloid β-Protein Folding and Assembly

Pathological folding and aggregation of the amyloid ￻ -protein (A￻ ) are widely perceived as central to under- standing Alzheimer's disease (AD) at the molecular level. Experimental approaches to study A￻ self-assembly are lim- ited, because most relevant aggregates are quasi-stable and inhomogeneous. In contrast, simulations can provide signifi- cant insights into the problem, including specific sites in the molecule that would be attractive for drug targeting and de- tails of the assembly pathways leading to the production of toxic assemblies. Here we review computer simulation ap- proaches to understanding the structural biology of A￻ . We discuss the ways in which these simulations help guide ex- perimental work, and in turn, how experimental results guide the development of theoretical and simulation approaches that may be of general utility in understanding pathologic protein folding and assembly.
Architectural design features of a programmable high throughput reconfigurable SHA-2 Processor

The continued growth of both wired and wireless communications has triggered the revolution for the generation of new cryptographic algorithms. Hash functions are common and important cryptographic primitives, which are very critical for data integrity assurance and data origin authentication security services. Many hash algorithms have been investigated and developed in the last years. This work is related to hash functions FPGA implementation. SHA-2 hash family is a new standard in the widely used hash functions category. An architecture and the FPGA implementation of this standard are proposed in this work. We propose a reconfigurable SHA-2 processor in the sense that it performs the two hash functions (256, and 512) of the SHA-2 standard for extended signature authentication. This paper investigates optimizations techniques that have recently been proposed in the literature. These techniques consist mostly in operation rescheduling and hardware reutilization, allowing a significant reduction of the critical path while the required area also decreases. As several 64-bit adders are needed in SHA-512 hash value computation, investigations on the adders implementations on FPGAs are analyzed and developed, with a view to reduce the chip area. The proposed processor is compared with the implementation of each hash function in a separate FPGA device to demonstrate that our architecture achieves a performance comparable to separate implementations while requiring much less hardware. Two types of FPGAs are evaluated in order to produce realistic results. Speed/area results from this processor are analyzed and are shown to demonstrate that our designs achieves a favorably performances with other FPGA-based implementations. A fastest data throughput is achieved by our optimized design.
Fundamental performance assessment of 2-D myocardial elastography in a phased array configuration

Two-dimensional (2-D) myocardial elastography is a radio-frequency (RF)-based speckle tracking technique that uses one-dimensional (1-D) cross-correlation and recorrelation methods in a 2-D search, and can estimate and image the 2-D transmural motion and deformation of the myocardium so as to characterize the cardiac function. Based on a three-dimensional (3-D) finite-element (FE) canine left-ventricular model, a theoretical framework was previously developed by our group to evaluate the estimation quality of 2-D myocardial elastography using a linear array. In this paper, an ultrasound simulation program, Field II, was used to generate the RF signals of a model of the heart in a phased array configuration and under 3-D motion condition; simulating thus the standard echocardiography exams. The estimation method of 2-D myocardial elastography was adapted for use with such a configuration. All elastographic displacements and strains were found to be in good agreement with the FE solutions, as indicated by the mean absolute errors (MAE's) between both. The results at different sonographic signal-to-noise ratios (SNRs) showed that the MAE's of the axial, lateral, radial and circumferential strains remained relatively unaffected, when the SNRs was higher than 16 dB. The MAE's of the strain estimation were not significantly affected when the acoustic attenuation was included in the simulations. The proposed framework can further be used to assess the quality, explore the theoretical limitation and investigate the effects of various parameters in 2-D myocardial elastography under more realistic conditions.
LINKING ECOLOGICAL PATTERNS TO ENVIRONMENTAL FORCING VIA NONLINEAR TIME SERIES MODELS

The identification of key environmental forcings responsible for population patterns is a pervasive ecological problem and an important application of time series analysis. A common approach, implemented with methods such as cross-correlation and cross-spectral analysis, relies on matching scales of variability. This approach concludes that a population pattern is caused by a physical factor if their variances share a dominant period. In a nonlinear system, however, forcing at one temporal period can produce a response with variability at one or more different periods. Thus, scale-matching methods will be most successful at establishing cause-effect relationships in linear systems, or close to equilibria, where nonlinear systems are well approximated by linear ones. Here, we propose an alternative approach that does not assume linearity and relies on time series models that are both nonlinear and nonparametric. We specifically apply these models to determine the correct but unknown frequency of a periodic forcing. The time series are generated by simulation of a predator-prey model. Under periodic forcing, this type of model is known to be capable of different dynamic regimes, including chaos and quasi- periodicity, in which the power spectra of population numbers exhibit variance at fre- quencies other than that of the forcing. We show that nonlinear time series models, built with feedforward neural networks, are able to distinguish the correct forcing period in the predator-prey simulations. These results hold under two common limitations of ecological data: the presence of dynamical and measurement noise, and the availability of time series data for only one variable. We discuss future applications of the approach to more general environmental forcings, other than periodic.
Modelling Intraday Trading Activity Using Box-Cox Acd Models

In this paper, I model the intraday trading activity based on volume durations, i.e. the waiting time until a predetermined volume is absorbed by the market. Since this concept measures the trading volume per time it is strongly related to market liquidity. I focus on volumes measured independently of the side of the market as well as on buy volumes, sell volumes and volumes measured on both market sides simultaneously. For econometric modelling of the different duration concepts, the performance of alternative types of Box-Cox-ACD models are analyzed. By evaluating out-of-sample forecasts, evidence is provided that Box-Cox-ACD models are a valuable tool for predicting volume durations. It is shown that volume durations measured independently of the side of the market have the best predictability. Furthermore, I illustrate that the inclusion of explanatory variables capturing past market activities concerning the price process and imbalances between the buy and sell side of the market. The empirical study uses IBM transaction data from the NYSE.
A randomised four-intervention crossover study investigating the effect of carbohydrates on daytime profiles of insulin, glucose, non-esterified fatty acids and triacylglycerols in middle-aged men

Postprandial concentrations of glucose, insulin and triacylglycerols (TG) correlate to risk for CHD. Carbohydrates affect many metabolites that could have a potential effect on cardiovascular risk factors. The objective of the present study was to examine, using a randomised prospective study, the acute (day 1) and ad libitum medium-term (day 24) effects of four diets: a high-fat diet (HIGH-FAT; 50 % fat, >34 % monounsaturated fatty acids); a low-glycaemic index (GI) diet (LOW-GI; high-carbohydrate, low-GI); a high-sucrose diet (SUCROSE; high carbohydrate increase of 90 g sucrose/d); a high-GI diet (HIGH-GI; high-carbohydrate, high-GI). Daytime profiles (8 h) (breakfast, lunch and tea) of lipid and carbohydrate metabolism were completed during day 1 and day 24. Seventeen middle-aged men with one or more cardiac risk factors completed the study. There was no change from day 1 or between diets in fasting glucose, lipids or homeostatic assessment model (HOMA) on day 24. The HIGH-FAT compared with the three high-carbohydrate diets was associated with lower postprandial insulin and glucose but higher postprandial TG and non-esterified fatty acids (NEFA). There was a significant increase in the 6 h (15.00 hours) TG concentration (day 1, 2·6 (SEM 0·3) MMOL/L v. DAY 24, 3·3 (sem 0·3) mmol/l; P<0·01) on the SUCROSE diet. Postprandial HOMA (i.e. incremental area under the curve (IAUC) glucose (mmol/l per min)×IAUC insulin/22·5 (mU/l per min)) median changes from day 1 to day 24 were −61, −43, −20 and +31 % for the HIGH-FAT, LOW-GI, SUCROSE and HIGH-GI diets respectively. The HIGH-GI percentage change was significantly different from the other three diets (P<0·001). Despite being advised to maintain an identical energy intake there was a significant weight change (−0·27 (sem 0·3) kg; P<0·02) on the LOW-GI diet compared with the SUCROSE diet (+0·84 (sem 0·3) kg). In conclusion the HIGH-FAT diet had a beneficial effect on postprandial glucose and insulin over time but it was associated with higher postprandial concentrations of TG and NEFA. Conversely the HIGH-GI diet appeared to increase postprandial insulin resistance over the study period.
Emily Peck and Subjective Trajectories for Life Satisfaction Do ( Even ) Depressed Individuals Believe That Life Gets Better and Better ? The Link Between Depression

We investigated the widespread belief that life gets better and better over time—as revealed in individuals’ “subjective trajectories” for life satisfaction (LS) derived from their ratings of recollected past, current, and anticipated future LS— among depressed (i.e., current major depressive disorder, fully remitted, partially remitted) and nondepressed groups using a two-wave longitudinal sample of American adults. Linear and inclining subjective trajectories (past LS < current LS < future LS) were normative among nondepressed individuals, as were nonlinear but inclining subjective trajectories (past LS ~ current LS < future LS) among depressed individuals. Furthermore, Wave 1 temporal-perspective LS ratings uniquely predicted risk of depression 10 years later (Wave 2), even after we controlled for baseline depression status. Thus, the use of a novel temporally expanded perspective revealed that even depressed individuals view their lives as improving over time and that such beliefs predict heightened (rather than less) risk of future depression.
An Early Look at Multipath TCP Deployment in the Wild

Multipath TCP was standardised in 2013 at IETF. It promises better use of network resources of multi-homed devices for capacity aggregation or seamless fail-over capabilities. The uptake has however been rather slow. Some operating systems support MPTCP out of the box, but little is known about their deployment on the server side. We built a scanning infrastructure to search for MPTCP-capable hosts on the Internet. In this study, we used the top-1M Alexa servers to test the platform and gain insight about server support. We find that less than 0.1% of Alexa unique domains and IP addresses currently support MPTCP. Their geographic distribution is quite different from that of clients reported in other studies, with the majority of domains being in China. We also find that very few IPs actually expose multi-homing information, suggesting that these early deployments aim at providing reliability rather than capacity aggregation. We also identify some deployment issues.
Reference in Robotics : a Givenness Hierarchy Theoretic Approach

As robots become increasingly prevalent in our society, it becomes increasingly important to endow them with natural language capabilities. Natural language capabilities are especially important for robots designed to operate in domains such as eldercare robotics, education robotics, space robotics, and urban search-and-rescue robotics. In eldercare robotics and education robotics, it may simply be too cognitively burdensome for the target population to learn to interact with their would-be caregiving or educational assistants through some other modality. In space robotics and urban search-and-rescue robotics, it may be too physically burdensome for the target population to interact with their would-be assistants or rescuers, due to, e.g., lack of gravity, or trapped limbs. In urban search-and-rescue
Hypothyroidism in polymyalgia rheumatica and giant cell arteritis.

(two), insomnia (one), back pain (two). In one omeprazole treated patient the serum aspartate aminotransferase activity rose from 20 to 82 U/i (reference range 20-40 U/I) and the alkaline phosphatase activity from 368 to 808 U/I (reference range 82-224 U/1). The patient had no symptoms and the values were almost normal one month after the end of treatment. Two cimetidine treated patients also had raised aspartate aminotransferase activities. Some patients in both groups had abnormal liver function values at entry, which continued unchanged during the trial. In several patients single laboratory values fell outside the normal range, but these abnormalities occurred at random in both groups. The mean change in laboratory values in the two treatment groups from day 1 to day 43 was compared by using the two sample t test. No significant differences were found (p>O0 15), apart from the difference caused by a slight increase in the serum creatinine concentration in the cimetidine group (p = 0 00004). Discussion Previous controlled studies have provided little information on the effect of omeprazole on the healing of ulcers of the body of the stomach. A German multicentre trial in patients with gastric ulcer found no appreciable difference between the effects of omeprazole 20 mg and ranitidine 300 mg daily.6 The ulcer was located in the body of the stomach in 53 patients, and the authors mentioned that the healing rate in this subgroup was lower than among the remaining patients, regardless of treatment. In two other trials in patients with gastric ulcer omeprazole was found to be superior to ranitidine but the available abstracts provide no information on sites of the ulcers. "6 In one study, which comprised solely patients with prepyloric ulcers, treatment with omeprazole 30 mg was found to be slightly superior to treatment with cimetidine 1 g.3 We conclude that omeprazole 30 mg daily accelerates the healing of ulcers of the body of the stomach as compared with cimetidine 1 g daily. The results suggest that this effect may be more pronounced in larger ulcers than in smaller ulcers. A trial in patients with mixed gastric ulcers showed that omeprazole 40 mg daily provides higher healing rates than omeprazole 20 mg daily.7 Possibly, therefore, our results could be improved by using a higher dose. Our findings also support the conclusion from studies of duodenal ulcers, prepyloric ulcers, and mixed gastric ulcers that short term treatment of peptic …
Large eddy simulation for jet noise: the importance of getting the boundary layer right

Large eddy simulations of an isothermal Mach 0.9 jet issued from a convergent-straight nozzle are performed at Reynolds number 1 × 10. The flow configuration and operating conditions match the companion experiment conducted at the PPRIME Institute, Poitiers. To replicate the effects of the boundary layer trip present in the experiment and to ensure a turbulent jet, localized adaptive mesh refinement, synthetic turbulence, and wall modeling are used inside the nozzle. This leads to fully turbulent nozzle-exit boundary layers and results in significant improvements for the flow field and sound predictions, compared to those obtained from the typical approach based on laminar flow assumption in the nozzle. The far-field noise spectra now match the experimental measurements to within 0.5 dB for relevant angles and frequencies. As a next step toward better understanding of turbulent jet noise, the large database collected during the simulation is currently being used for reduced order modeling and wavepacket analysis.