nils-herrmann/clean_scirepeval huggingface dataset:
Reorienting Home Rule: Part 1 The Urban Disadvantage in National and State Lawmaking

Many scholars most famously, Robert Dahl have convincingly argued that the lawmaking process in the United States is not majoritarian and is in fact counter majoritarian. This Article builds on that literature by explaining how American legislative countermajoritarianism operates in a distinctly anti urban way. The most obvious contributor to an urban disadvantage in lawmaking at the federal level is the Senate, whose egregious malapportionment disadvantages urban priorities by enlarging the influence of small and rural state policy preferences. As a result, although a majority of the nation may favor stricter gun control, for instance, the Senate's makeup stifles that preference at the national level.A subtler, but still substantial, contributor to the urban disadvantage in lawmaking is the widespread use of single member, winner take all districts to constitute the federal House of Representatives and almost all state legislative chambers. Drawing on recent political science, this Article explains how district based elections systematically devalue the views of urban residents, even in the absence of intentional, politically motivated gerrymandering. Because left leaning voters reside in dense, urban areas, their favored candidates waste comparatively more votes in winning their districts than do victorious candidates with different or opposing views in suburban, exurban, and rural districts. Hence, so long as there is a partisan divide that correlates with population density, the urban favored political party wins fewer seats in the state or national legislature than its opponent does with the same overall vote share. Add in the lack of structural protections for big cities and metropolitan areas akin to that which states enjoy in the federal order, and the net result is federal and many state governments that treat urban policy preferences with indifference, if not outright hostility. For this reason, the urban centered majority that elected a president in 2008 and 2012 was largely stymied by a Congress structurally designed to skew away from that majority's preferences. Similarly, many state legislatures have shown disdain for urban priorities by aggressively preempting local enactments. The most prominent recent example is North Carolina's House Bill 2, which preempted Charlotte's ordinance protecting persons from discrimination on the basis of sexual orientation and gender identity.
Validez de contenido de un instrumento para medir la responsabilidad social de las empresas bancarias

En el presente articulo se reporta un analisis de validez de contenido de un cuestionario disenado para medir la responsabilidad social empresarial (RSE) del sector bancario establecido en el estado de Baja California, Mexico. El objetivo fue evaluar las propiedades psicometricas de dicho instrumento de medicion en los corporativos bancarios tanto nacionales como multinacionales. Se obtuvo un dictamen cuantitativo de validez de contenido a traves de un interrogatorio a un grupo de expertos utilizando el CVR (Content Validity Ratio) del modelo de Lawshe (1975) modificado por Tristan (2008) Los resultados fueron positivos con respecto al indice global de validez de contenido en 0.8987, y un 0.948 en la confiabilidad por consistencia interna mediante el coeficiente Alfa de Cronbach.
LA ADOPCION DE TECNOLOGIAS LIMPIAS PARA LA SUSTENTABILIDAD EMPRESARIAL: CASO DE DOS EMPRESAS DEL SECTOR FINANCIERO

El interes por parte de algunas empresas para fomentar e implementar una sustentabilidad empresarial ha ido en incremento lo que, ha inducido que estas adopten tecnologias que promuevan el cumplimiento de la premisa del desarrollo sustentable impulsada por la economia verde. El objetivo de esta investigacion es mostrar como algunas empresas han incorporado tecnologias limpias en sus procesos de produccion. Para esto, se analizaron los Informes de Responsabilidad Social y Sustentabilidad de dos empresas del sector financiero que cotizan en la Bolsa Mexicana de Valores y con el IPC Sustentable. Los resultados de esta investigacion muestran que la adopcion de tecnologias limpias genera beneficios ambientales, sociales y economicos, en el mediano y largo plazo. Asimismo, se infiere que existen barreras que inhiben la adopcion de estas tecnologias, principalmente la inversion inicial que se requiere para la adquisicion de tecnologias limpias, lo que repercute en que otras empresas las adopten.
An IoT application development using IoTSuite
Venue: ArXiv

Application development in the Internet of Things (IoT) is challenging because it involves dealing with issues that attribute to different life cycle phases. First, the application logic has to be analyzed and then separated into a set of distributed tasks for an underlying network. Then, the tasks have to be implemented for the specific hardware. Moreover, we take different IoT applications and present development of these applications using IoTSuite. In this paper, we introduce a design and implementation of ToolSuite, a suite of tools, for reducing burden of each stage of IoT application development process. We take different class of IoT applications, largely found in the IoT literature, and demonstrate these IoT application development using IoTSuite. These applications have been tested on several IoT technologies such as Android, Raspberry PI, Arduino, and JavaSE enabled devices, Messaging protocols such as MQTT, CoAP, WebSocket, Server technologies such as Node.js, Relational database such as MySQL, and Microsoft Azure Cloud services.
Information use and resource competition: an integrative framework
Venue: Proceedings of the Royal Society B: Biological Sciences

Organisms may reduce uncertainty regarding how best to exploit their environment by collecting information about resource distribution. We develop a model to demonstrate how competition can facilitate or constrain an individual's ability to use information when acquiring resources. As resource distribution underpins both selection on information use and the strength and nature of competition between individuals, we demonstrate interdependencies between the two that should be common in nature. Individuals in our model can search for resources either personally or by using social information. We explore selection on social information use across a comprehensive range of ecological conditions, generalizing the producer scrounger framework to a wide diversity of taxa and resources. We show that resource ecology defined by scarcity, depletion rate and monopolizability determines patterns of individual differences in social information use. These differences suggest coevolutionary processes linking dominance systems and social information use, with implications for the evolutionary demography of populations.
Exploring the role of picker personality in predicting picking performance with pick by voice, pick to light and RF terminal picking

Order pickers and individual differences between them could have a substantial impact on picking performance, but are largely ignored in studies on order picking. This paper explores the role of individual differences in picking performance with various picking tools (pick by voice, RF terminal picking and pick to light) and methods (parallel, zone and dynamic zone picking) A unique realistic field experiment with 101 participants (academic students, vocational students and professional pickers) is employed to investigate the influence of individual differences, especially the Big Five personality traits, on picking performance in terms of productivity and quality. The results suggest that (PbV) performs better than RF terminal picking, and that Neuroticism, Extraversion, Conscientiousness and the age of the picker play a significant role in predicting picking performance with voice and RF terminals. Furthermore, achieving higher productivity appears to be possible without sacrificing quality. Managers can increase picking performance by incorporating the insights in assigning the right pickers to work with a particular picking tool or method, leading to increased picking performance and reduced warehousing costs.
Low Cost Arduino Based Voice Controlled Pick and Drop Service with Movable Robotic Arm

This paper presents the designing and implementation of low cost Arduino based Robotic Arm with ability of picking and placing the object as instructed by human voice. The robot also contains a feature of detection of object by itself through sonar technique before proceeding voice commands. Such a system can be helpful in enabling users to do works in industry or mining applications without risking their lives and bringing more perfection. The user just has to own a Smartphone which is present in almost every ones hand and the robot. The voice instruction can be transmitted to robot via Bluetooth interface with Android Apps. Arduino Mega works as the brain that controls the arm and makes decision before grabbing any object.
Pick and place mobile robot for the disabled through voice commands
Venue: 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)

A mobile robot is designed to pick and place the objects through voice commands. This work would be practically useful to wheelchair bound persons. The pick and place robot is designed in a way that it is able to help the user to pick up an item that is placed at two different levels using an extendable arm. The robot would move around to pick up an item and then pass it back to the user or to a desired location as told by the user. The robot control is achieved through voice commands such as left, right, straight, etc. in order to help the robot to navigate around. Raspberry Pi 2 controls the overall design with 5 DOF servo motor arm. The webcam is used to navigate around which provides live streaming using a mobile application for the user to look into. Results show the ability of the robot to pick and place the objects up to a height of 23.5cm through proper voice commands.
Enhanced multi operator differential evolution for constrained optimization
Venue: 2016 IEEE Congress on Evolutionary Computation (CEC)

Over the last two decades, many differential evolution algorithms have been introduced to solve constrained optimization problems. Due to the variability of characteristics of such problems, no single algorithm performs consistently well over all of them. In this paper, for a better coverage of the problem characteristics, we introduce an enhanced multi operator differential evolution algorithm, which utilizes the strengths of multiple search operators at each generation, and places more emphasis on the best performing ones during the optimization process based on three measures: (1) the quality of solutions; (2) the feasibility rate; and (3) diversity. In addition, an improved self adaptive mechanism for automatically controlling the scaling factor and crossover rate is proposed. The performance of the algorithm is assessed using a well known set of constrained problems, with the experimental results demonstrating that it is superior to state of the art algorithms.
Optimal design of truss structures with frequency constraints using improved differential evolution algorithm based on an adaptive mutation scheme

The paper presents an improved differential evolution (IDE) and its application for solving shape and size optimization problems of truss structures with frequency constraints. The improvements are made in mutation and selection phases but mainly focused on the mutation phase. In the mutation phase of the IDE, a new selection scheme is proposed by using multi mutation operators that adaptively employ all four popular mutation operators, including "rand/1," "rand/2," "best/1," and "best/2" for selecting target vectors in population. This new scheme helps maintain effectively the balance between the global exploration and local exploitation abilities for searching process of the DE. In the selection phase of the IDE, an elitist selection technique that helps save good individuals for the next generation is suggested to replace traditional selection technique of the original DE. The suggested technique can help increase the convergence rate of the IDE. The efficiency and robustness of the IDE are demonstrated through five benchmark problems. Numerical results show that in most of the cases considered, the optimum design obtained by the IDE and DE are nearly the same and they are better than those gained by some other well known methods in the literature. However, the IDE is much better than the DE in terms of the computational cost.
Zeros of modular forms of half integral weight

We study canonical bases for spaces of weakly holomorphic modular forms of level 4 and weights in \mathbb {Z}\frac{1}{2}$Z+12 and show that almost all modular forms in these bases have the property that many of their zeros in a fundamental domain for \Gamma _0(4)$G0(4) lie on a lower boundary arc of the fundamental domain. Additionally, we show that at many places on this arc, the generating function for Hurwitz class numbers is equal to a particular mock modular Poincare series, and show that for positive weights, a particular set of Fourier coefficients of cusp forms in this canonical basis cannot simultaneously vanish.
Noise detection in the meta learning level
Venue: Neurocomputing

The presence of noise in real data sets can harm the predictive performance of machine learning algorithms. There are several noise filtering techniques whose goal is to improve the quality of the data in classification tasks. These techniques usually scan the data for noise identification in a preprocessing step. Nonetheless, this is a non trivial task and some noisy data can remain unidentified, while safe data can also be removed. The bias of each filtering technique influences its performance on a particular data set. Therefore, there is no single technique that can be considered the best for all domains or data distribution and choosing a particular filter is not straightforward. Meta learning has been largely used in the last years to support the recommendation of the most suitable machine learning algorithm(s) for a new data set. This paper presents a meta learning recommendation system able to predict the expected performance of noise filters in noisy data identification tasks. For such, a meta base is created, containing meta features extracted from several corrupted data sets along with the performance of some noise filters when applied to these data sets. Next, regression models are induced from this meta base to predict the expected performance of the investigated filters in the identification of noisy data. The experimental results show that meta learning can provide a good recommendation of the most promising filters to be applied to new classification data sets.
Soft Switching Bidirectional Buck Boost Converter with Simple Auxiliary Circuit

The intention of this paper is to project a soft switching bidirectional buck boost converter with high efficiency, simple structure for the application of battery charging and discharging.  MATLAB/ SIMULINK software has been used to obtain the simulation results and thereby efficiency of the projected configuration is evaluated and examine with the traditional transformer less bi directional converters.  The proposed converter introduces a simple auxiliary circuit that not only reduces the switching stress but also provides high efficiency to the converter. This non isolated soft switching bidirectional buck boost converter operation is based on two categories namely Boost and Buck mode as same that of other bidirectional converter (BDC) topologies but with simple characteristics. The proposed converter with auxiliary/snubber achieves soft switching at all step up and step down modes. The various operational modes of the proposed method have been investigated throughout the paper.  The proposed system is suitable for battery charging and discharging systems.
A current fed full bridge DC DC converter with an active flyback and passive auxiliary circuits
Venue: 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS)

A phase shift PWM topology with an active fly back snubber in the primary side and passive auxiliary circuit on the secondary side of the isolation transformer is presented in this paper. The use of a flyback snubber suppress the voltage oscillations produced due to current mismatch between the input current fed inductor and primary side leakage inductance of the isolation transformer. Thus, minimize the current entering through the power switches at the input side. The passive auxiliary circuit consists of passive components to reduce the conduction losses. The proposed topology obtains soft switching over a wide load range with maximum conversion ratio. The principle of operation of the proposed topology features is first described, and then converter analysis and simulation results of the proposed technique are presented.
Toward Efficient Multi Keyword Fuzzy Search Over Encrypted Outsourced Data With Accuracy Improvement
Venue: IEEE Transactions on Information Forensics and Security

Keyword based search over encrypted outsourced data has become an important tool in the current cloud computing scenario. The majority of the existing techniques are focusing on multi keyword exact match or single keyword fuzzy search. However, those existing techniques find less practical significance in real world applications compared with the multi keyword fuzzy search technique over encrypted data. The first attempt to construct such a multi keyword fuzzy search scheme was reported by Wang et al. who used locality sensitive hashing functions and Bloom filtering to meet the goal of multi keyword fuzzy search. Nevertheless, Wang's scheme was only effective for a one letter mistake in keyword but was not effective for other common spelling mistakes. Moreover, Wang's scheme was vulnerable to server out of order problems during the ranking process and did not consider the keyword weight. In this paper, based on Wang et al.'s scheme, we propose an efficient multi keyword fuzzy ranked search scheme based on Wang et al.'s scheme that is able to address the aforementioned problems. First, we develop a new method of keyword transformation based on the uni gram, which will simultaneously improve the accuracy and creates the ability to handle other spelling mistakes. In addition, keywords with the same root can be queried using the stemming algorithm. Furthermore, we consider the keyword weight when selecting an adequate matching file set. Experiments using real world data show that our scheme is practically efficient and achieve high accuracy.
Microgrid Scheduling With Uncertainty: The Quest for Resilience
Venue: IEEE Transactions on Smart Grid

In recent years, natural disasters around the world have underscored the need for operative solutions that can improve the power grid resilience in response to low probability high impact incidents. The advent of microgrids (MGs) in modern power systems has introduced promising measures that can fulfil the power network resiliency requirements. This paper presents a two stage stochastic programming approach to the optimal scheduling of a resilient MG. The impact of natural disasters on the optimal operation of MGs is modeled using a stochastic programming process. Other prevailing uncertainties associated with wind energy, electric vehicles, and real time market prices are also taken into account. The proposed hourly scheme attempts to mitigate damaging impacts of electricity interruptions by effectively exploiting the MG capabilities. Incorporating AC network constraints in the proposed model offers a better solution to the security constrained operation of MGs. The proposed model is linearized which offers robustness, simplicity, and computational efficiency in optimizing the MG operation. The effectiveness of proposed approach is illustrated using a large scale MG test bed with a realistic set of data.
of National Identity

Recent years have witnessed a great deal of attention to the emergence of nationalism in late eighteenth century Europe, and critics such as Seamus Deane have drawn particular attention to the way in which the new nationalist narratives tended to displace the older cosmopolitan narrative of universal subjects and universal reason. As Deane points out, Enlightenment forms of narrative (like the philosophical tale) were threatened by a "newly assertive nationalism, predicated on notions of national character."'1 The kind of national thinking and narrative that he has in mind is represented by a figure like Edmund Burke and his well known argument anchoring national identity in attachment to one's "little platoon."2 But the same Anglo Irish milieu that produced Burke also produced Maria Edgeworth, who offered a rather different reading of national identity in the same period. Her writing on Ireland, especially her early Irish tales, offers an important rearticulation of Burkean local attachment and philosophical cosmopolitanism to produce an understanding of the nation as neither tightly bordered (like nations based on historical premises such as blood or inheritance) nor borderless (like those based on rational notions of universal inclusion) This effort to rethink nationness makes Edgeworth more than the colonial writer who figures in current criticism.3 Having herself been both immersed in Continental Enlightenment thought and personally affected by the nationalist upsurge of the 1798 Rebellion, she used herwriting to reconsider the meaning of the denomination "AngloIrish."4 And through her interrogation she reinterpreted both cosmopolitan and national definitions of belonging so as to reconstitute "Anglo Irish" less as a category than as an ongoing mediation between borders.
National Identity in Ukraine: Impact of Euromaidan and the War

The essay examines the impact of the Euromaidan protests and the subsequent Russian aggression on Ukrainian national identity. It demonstrates that national identity has become more salient vis a vis other territorial and non territorial identities. At the same time, the very meaning of belonging to the Ukrainian nation has changed, as manifested first and foremost in increased alienation from Russia and the greater embrace of Ukrainian nationalism. Although popular perceptions are by no means uniform across the country, the main dividing line has shifted eastwards and now lies between the Donbas and the adjacent east southern regions.
The effect of physical environment on passenger delight and satisfaction: Moderating effect of national identity

This study aims to examine the influence of an international airport's physical environment on passengers' delight and satisfaction. This study also aims to assess the moderating role of national identity on the relationship between physical environment and passengers' delight and satisfaction. A convenient sampling technique was used to select the sample. A total of 271 questionnaires distributed at Kuala Lumpur International Airport, Malaysia were used for data analysis. The result from the structural analysis suggests that physical environment in an international airport influences passengers' delight and satisfaction. Moreover, national identity portrayed in airport moderates the relationships between physical environment, passengers' delight and satisfaction. Overall, findings of this study extends the understanding of physical environment, passengers' delight and satisfaction and national identity in the context of an international airport and offer implications for international airport authorities. Discussions and implications for airport practitioners, limitations, and suggestions for future research are also provided.