LLukas22/scidocs huggingface dataset:
From strategy to action: how top managers' support increases middle managers' commitment to innovation implementation in health care organizations.

BACKGROUND
Evidence suggests that top managers' support influences middle managers' commitment to innovation implementation. What remains unclear is how top managers' support influences middle managers' commitment. Results may be used to improve dismal rates of innovation implementation.


METHODS
We used a mixed-method sequential design. We surveyed (n = 120) and interviewed (n = 16) middle managers implementing an innovation intended to reduce health disparities in 120 U.S. health centers to assess whether top managers' support directly influences middle managers' commitment; by allocating implementation policies and practices; or by moderating the influence of implementation policies and practices on middle managers' commitment. For quantitative analyses, multivariable regression assessed direct and moderated effects; a mediation model assessed mediating effects. We used template analysis to assess qualitative data.


FINDINGS
We found support for each hypothesized relationship: Results suggest that top managers increase middle managers' commitment by directly conveying to middle managers that innovation implementation is an organizational priority (β = 0.37, p = .09); allocating implementation policies and practices including performance reviews, human resources, training, and funding (bootstrapped estimate for performance reviews = 0.09; 95% confidence interval [0.03, 0.17]); and encouraging middle managers to leverage performance reviews and human resources to achieve innovation implementation.


PRACTICE IMPLICATIONS
Top managers can demonstrate their support directly by conveying to middle managers that an initiative is an organizational priority, allocating implementation policies and practices such as human resources and funding to facilitate innovation implementation, and convincing middle managers that innovation implementation is possible using available implementation policies and practices. Middle managers may maximize the influence of top managers' support on their commitment by communicating with top managers about what kind of support would be most effective in increasing their commitment to innovation implementation.
Standardization and Discretion: Does the Environmental Standard ISO 14001 Lead to Performance Benefits?

This study sought to determine if the environmental management standard ISO 14001 helps organizations reduce the negative impact their business activities may have on the environment, and as a result, also improves their business performance. Forty organizations participated in the study and described how they implement ISO 14001 requirements. They also reported how the standard impacts on their environmental and business performance. The results show that if ISO 14001 requirements become part of the organization's daily practices, then standardization of the organization's handling of environmental issues follows-leading, consequently, to better organizational environmental performance. In addition, standardization augments its effect on organizational environmental performance through its positive impact on employee discretion. Allowing employees discretion further improves environmental performance. We saw that discretion partially mediates the effect of standardization on environmental performance. Analysis of survey and financial data did not reveal any support for the hypothesis that achieving improvement in environmental performance as result of ISO 14001 implementation leads to better business performance; on the other hand, we saw that business performance was not harmed
NOMA: An Information Theoretic Perspective

In this letter, the performance of non-orthogonal multiple access (NOMA) is investigated from an informationtheoretic perspective. The relationships among the capacity r egion of broadcast channels and two rate regions achieved by NOMA and time-division multiple access (TDMA) are illustrated first. Then, the performance of NOMA is evaluated by considering TDMA as the benchmark, where both the sum rate and the individual use r rates are used as the criteria. In a wireless downlink scenar io with user pairing, the developed analytical results show that NOMA can outperform TDMA not only for the sum rate but also for each user’s individual rate, particularly when the difference between the users’ channels is large. I. I NTRODUCTION Because of its superior spectral efficiency, non-orthogona l multiple access (NOMA) has been recognized as a promising technique to be used in the fifth generation (5G) networks [1] – [4]. NOMA utilizes the power domain for achieving multiple access, i.e., different users are served at different power levels. Unlike conventional orthogonal MA, such as timedivision multiple access (TDMA), NOMA faces strong cochannel interference between different users, and success ive interference cancellation (SIC) is used by the NOMA users with better channel conditions for interference managemen t. The concept of NOMA is essentially a special case of superposition coding developed for broadcast channels (BC ). Cover first found the capacity region of a degraded discrete memoryless BC by using superposition coding [5]. Then, the capacity region of the Gaussian BC with single-antenna terminals was established in [6]. Moreover, the capacity re gion of the multiple-input multiple-output (MIMO) Gaussian BC was found in [7], by applying dirty paper coding (DPC) instea d of superposition coding. This paper mainly focuses on the single-antenna scenario. Specifically, consider a Gaussian BC with a single-antenna transmitter and two single-antenna receivers, where each r eceiver is corrupted by additive Gaussian noise with unit var iance. Denote the ordered channel gains from the transmitter to the two receivers byhw andhb, i.e., |hw| < |hb|. For a given channel pair(hw, hb), the capacity region is given by [6] C , ⋃ a1+a2=1, a1, a2 ≥ 0 { (R1, R2) : R1, R2 ≥ 0, R1≤ log2 ( 1+ a1x 1+a2x ) , R2≤ log2 (1+a2y) }
Endogenous kappa-opioid mediation of stress-induced potentiation of ethanol-conditioned place preference and self-administration

Exposure to inescapable stressors increases both the rewarding properties and self-administration of cocaine through the signaling of the kappa-opioid receptor (KOR), but the effect of this signaling on other reinforcing agents remains unclear. The objective of this study is to test the hypothesis that signaling of the KOR mediates the forced swim stress (FSS)-induced potentiation of ethanol reward and self-administration. Male C57Bl/6J mice were tested in a biased ethanol-conditioned place preference (CPP) procedure, and both C57Bl/6J and prodynorphin gene-disrupted (Dyn −/−) mice were used in two-bottle free choice (TBC) assays, with or without exposure to FSS. To determine the role of the KOR in the resulting behaviors, the KOR agonist U50,488 (10 mg/kg) and antagonist nor-binaltorphimine (nor-BNI, 10 mg/kg) were administered prior to parallel testing. C57Bl/6J mice exposed to repeated FSS 5 min prior to daily place conditioning with ethanol (0.8 g/kg) demonstrated a 4.4-fold potentiation of ethanol-CPP compared to unstressed mice that was prevented by nor-BNI pretreatment. Likewise, pretreatment with U50,488 90 min prior to daily ethanol place conditioning resulted in a 2.8-fold potentiation of ethanol-CPP. In the TBC assay, exposure to FSS significantly increased the consumption of 10% (v/v) ethanol by 19.3% in a nor-BNI-sensitive manner. Notably, Dyn −/− mice consumed a similar volume of ethanol as wild-type littermates and C57Bl/6J mice, but did not demonstrate significant stress-induced increases in consumption. These data demonstrated a stress-induced potentiation of the rewarding effects and self-administration of ethanol mediated by KOR signaling.
Startup and Fault Tolerance of the SRM Drive with Three-Phase Bridge Inverter

When a three-phase SRM (switched reluctance motor) is driven by a three-phase bridge inverter, the phases of SRM should be connected in the same way that in the case of the induction motor, in other words, in delta or stars. When the phase windings are connected in star, the star's center it should be connected to the mid point of the capacitors of the DC bus. To maintain the voltage of the capacitors balanced during the operation of SRM is necessary to use a strategy of energy transfer of the capacitor with more charge for than has less charge. The voltage balance of the DC bus capacitors is obtained with the change of the phase currents direction during the machine operation. This strategy doesn't prevent that in the startup one of the DC bus capacitors is totally discharge. The short circuit of one of the capacitors for a relay during the startup solves the problem of discharge of the capacitor, it allows to operate SRM in very low speed, but it imposes an equivalent performance of an R-Dump inverter, where the discharge resistance of the energy of the turned off phase is the own coil resistance of the phase. In this paper, a SRM startup technique is presented to work with a three phase bridge inverter and machine windings connected in star, without startup relay. The technique bases on allows two phases to conduct at the same time during startup. A comparison of the system proposed with the split and asymmetric half bridge inverters are also presented, analyzing the fault tolerance in the inverter. Experimental results demonstrate the validity of the proposed technique
THE (A)POLITICAL ECONOMY OF BITCOIN

The still raging financial crisis of 2007–2008 has enabled the emergence of several alternative practices concerning the production, circulation, and use of money. This essay explores the political economy of the Bitcoin ecosystem. Specifically, we examine the context in which this digital currency is emerging as well as its nature, dynamics, advantages, and disadvantages. We conclude that Bitcoin, a truly interesting experiment, exemplifies “distributed capitalism” and should be mostly seen as a technological innovation. Rather than providing pragmatic answers and solutions to the current views on the financial crisis, Bitcoin provides some useful and timely questions about the principles and bases of the dominant political economy.
Motivating Individuals and Groups at Work: A Social Identity Perspective on Leadership and Group Performance

We argue that additional understanding of work motivation can be gained by incorporating current insights concerning self-categorization and social identity processes and by examining the way in which these processes influence the motivation and behavior of individuals and groups at work. This theoretical perspective that focuses on the conditions determining different self-definitions allows us to show how individual and group processes interact to determine work motivation. To illustrate the added value of this approach, we develop some specific propositions concerning motivational processes underpinning leadership and group performance.
SWordNet: Inferring semantically related words from software context

Code search is an integral part of software development and program comprehension. The difficulty of code search lies in the inability to guess the exact words used in the code. Therefore, it is crucial for keyword-based code search to expand queries with semantically related words, e.g., synonyms and abbreviations, to increase the search effectiveness. However, it is limited to rely on resources such as English dictionaries and WordNet to obtain semantically related words in software because many words that are semantically related in software are not semantically related in English. On the other hand, many words that are semantically related in English are not semantically related in software. This paper proposes a simple and general technique to automatically infer semantically related words (referred to as rPairs) in software by leveraging the context of words in comments and code. In addition, we propose a ranking algorithm on the rPair results and study cross-project rPairs on two sets of software with similar functionality, i.e., media browsers and operating systems. We achieve a reasonable accuracy in nine large and popular code bases written in C and Java. Our further evaluation against the state of art shows that our technique can achieve a higher precision and recall. In addition, the proposed ranking algorithm improves the rPair extraction accuracy by bringing correct rPairs to the top of the list. Our cross-project study successfully discovers overlapping rPairs among projects of similar functionality and finds that cross-project rPairs are more likely to be correct than project-specific rPairs. Since the cross-project rPairs are highly likely to be general for software of the same type, the discovered overlapping rPairs can benefit other projects of the same type that have not been analyzed.
Current status of research on optimum sizing of stand-alone hybrid solar – wind power generation systems

Solar and wind energy systems are omnipresent, freely available, environmental friendly, and they are considered as promising power generating sources due to their availability and topological advantages for local power generations. Hybrid solar–wind energy systems, uses two renewable energy sources, allow improving the system efficiency and power reliability and reduce the energy storage requirements for stand-alone applications. The hybrid solar–wind systems are becoming popular in remote area power generation applications due to advancements in renewable energy technologies and substantial rise in prices of petroleum products. This paper is to review the current state of the simulation, optimization and control technologies for the stand-alone hybrid solar–wind energy systems with battery storage. It is found that continued research and development effort in this area is still needed for improving the systems’ performance, establishing techniques for accurately predicting their output and reliably integrating them with other renewable or conventional power generation sources. 2009 Elsevier Ltd. All rights reserved.
Economic costs of firm-level information infrastructure failures Estimates from field studies in manufacturing supply chains

Purpose – This paper presents a method for estimating the macro-economic cost of a firm-level information system disruption within a supply chain. Design/methodology/approach – The authors combine field study estimates with a Leontief-based input-output model to estimate the macro-economic costs of a targeted internet outage that disrupts the supply chain. Findings – The authors find that supply chain vulnerability or resiliency to cyber disruptions is not necessarily dependent on the types of technology employed, but rather how the technology is used to enable supply chain processes and the type of attack experienced. The authors find that some supply chains like oil and gas could be significantly impacted by certain cyber disruptions. However, similar to other causes of supply chain disruptions such as labor disputes or natural disasters, the authors find that firms can be very resilient to cyber disruptions. Research limitations/implications – The validity of the approach is limited by the accuracy of parameters gathered through field studies and the resolution of government economic data. Practical implications – Managers should examine how information technology is used to enable their supply chain processes and develop capabilities that provide resilience to failures. Lean supply chains that focus on minimizing inventory may be more vulnerable to major information system failures unless they take special steps to build resilience. Originality/value – This paper provides a new approach to estimating economic vulnerability due to supply chain information failures.
Multidialectal Spanish acoustic modeling for speech recognition

During the last years, language resources for speech recognition have been collected for many languages and specifically, for global languages. One of the characteristics of global languages is their wide geographical dispersion, and consequently, their wide phonetic, lexical, and semantic dialectal variability. Even if the collected data is huge, it is difficult to represent dialectal variants accurately. This paper deals with multidialectal acoustic modeling for Spanish. The goal is to create a set of multidialectal acoustic models that represents the sounds of the Spanish language as spoken in Latin America and Spain. A comparative study of different methods for combining data between dialects is presented. The developed approaches are based on decision tree clustering algorithms. They differ on whether a multidialectal phone set is defined, and in the decision tree structure applied. Besides, a common overall phonetic transcription for all dialects is proposed. This transcription can be used in combination with all the proposed acoustic modeling approaches. Overall transcription combined with approaches based on defining a multidialectal phone set leads to a full dialect-independent recognizer, capable to recognize any dialect even with a total absence of training data from such dialect. Multidialectal systems are evaluated over data collected in five different countries: Spain, Colombia, Venezuela, Argentina and Mexico. The best results given by multidialectal systems show a relative improvement of 13% over the results obtained with monodialectal systems. Experiments with dialect-independent systems have been conducted to recognize speech from Chile, a dialect not seen in the training process. The recognition results obtained for this dialect are similar to the ones obtained for other dialects. 2008 Elsevier B.V. All rights reserved.
Artificial Neural Networks Approach to the Forecast of Stock Market Price Movements

In this work we present an Artificial Neural Network (ANN) approach to predict stock market indices. In particular, we focus our attention on their trend movement up or down. We provide results of experiments exploiting different Neural Networks architectures, namely the Multi-layer Perceptron (MLP), the Convolutional Neural Networks (CNN), and the Long Short-Term Memory (LSTM) recurrent neural networks technique. We show importance of choosing correct input features and their preprocessing for learning algorithm. Finally we test our algorithm on the S&P500 and FOREX EUR/USD historical time series, predicting trend on the basis of data from the past n days, in the case of S&P500, or minutes, in the FOREX framework. We provide a novel approach based on combination of wavelets and CNN which outperforms basic neural networks approaches. Key–Words: Artificial neural networks, Multi-layer neural network, Convolutional neural network, Long shortterm memory, Recurrent neural network, Deep Learning, Stock markets, Time series analysis, financial forecasting
Fault-tolerant control design with respect to actuator health degradation: An LMI approach

The active fault-tolerant control approach relies heavily on the occurred faults. In order to improve the safety of the reconfigurable system, a methodology to incorporate actuator health in the fault-tolerant control design is proposed for a tracking problem. Indeed, information about actuator health degradation due to the applied control is considered in addition to fault estimation. The main objective is to design a fault-tolerant control system which guarantees a high overall system reliability and dependability both in nominal operation and in the presence of faults. Such an objective is achieved by a control performance index, which is proposed based on system reliability analysis. The fault-tolerant controller is synthesized by using a linear matrix inequality approach.
Comparative experimental study on the COD removal in aqueous solution of pesticides by the electrocoagulation process using monopolar iron electrodes

ISSN: 2410-9649 Benahmed Daij et al / Chemistry International 3(4) (2017) 420-427 iscientic.org. 421 www.bosaljournals/chemint/ editorci@bosaljournals.com 1996), industrial wastewater (Lin et al., 1998), and landfill leachate (Lin and Chang, 2000). It was also used to remove phenol (Awad and Abuzaid, 2000) and surfactants (Ciorba et al., 2000) from industrial wastewaters. Although electrochemical coagulation has been utilized for over a century, the available literature reveals little studies on the removal of herbicides by electrochemical coagulation such as Malathion (Pitulice et al., 2013), methyl parathion, atrazine and triazophos (Babu et al., 2011), Malathion, imidacloprid and Chlorpyrifos (Nasser and Nader, 2015a) and abamectin (Nasser and Nader, 2015b).The feedback on these electrodes produces metal hydroxides: Anode: 4Fe(S) → 4Fe2+ (aq) + 8e-(1) Fe2+ (aq) + 2OH-(aq) → Fe (OH) 2(S) (2) Cathode: 2H2O (l) + 2e→ H2 (g)+ 2OH-(aq) (3) Fe2+ ions are oxidized to Fe3+ ions by dissolved oxygen and there is the formation of ferric hydroxide Fe (OH) 3(S) color rust, according to the reaction: 4Fe2+(aq) + 10H2O(l) + O2(g) → 4Fe(OH)3(S) + 8H+ (4) The hydrogen thus generated is therefore involved in the flotation of the flocks and thereby promotes both elimination of suspended solids that the removal of dissolved organic compounds adsorbed partly on the flocks. Iron hydroxides formed Fe (OH) n(S) where n is 2 or 3 (equations 2 and 4) remain in the aqueous solution as a gelatinous suspension which can remove pollutants from the waste water (Ibanez et al., 1998; Xinhua et Xiangfeng, 2004).Other hydrated forms of the ion Fe3 +, pH dependent, have been suggested (Kobya et al., 2003): Fe(H2O)23+, Fe(H2O)5OH2+, Fe(OH)2+, Fe(OH)2+, Fe2(OH)24+, Fe(OH)4-, Fe(OH)63-, Fe(H2O)4(OH)2+, Fe2(H2O)8(OH)24+, Fe2(H2O)6(OH)42+ . These complexes act as coagulant. They are adsorbed on the particles, and so cancel the colloidal fillers. The aim of this work is a comparative experimental study on the COD removal in aqueous solutions of the following pesticides, Chlorpyrifos-Ethyl48EC, Fenitrothion 3% and Acetamiprid20% SP by electrocoagulation process using sacrificial anodes Iron. MATERIAL AND METHODS
Dielectrophoretic investigations of sub-micrometre latex spheres

A non-uniform AC electric field induces a motion in polarizable particles, called dielectrophoresis. The force responsible for this motion is governed by the dielectric properties both of the suspending medium and of the particles, as well as the geometry of the field. The dielectrophoretic properties of sub-micrometre latex spheres have been studied using micro-fabricated electrode structures. The electric field geometry for electrodes used in the measurements has been solved using numerical analysis. Measurements of the dielectrophoretic properties of the spheres have been made over a range of medium conductivities and applied field frequencies and strengths. Comparisons between the observed behaviour and that expected from theory are presented.