nils-herrmann/clean_scirepeval huggingface dataset:
Combined Microwaves/Ultrasound, a Hybrid Technology
Venue: Topics in Current Chemistry

The combination of microwave heating and ultrasound irradiation has been successfully exploited in applied chemistry. Besides saving energy, these green techniques promote faster and more selective transformations. The aim of this review is to provide a practical overview of the complimentary and synergistic effects generated by the combination of microwaves and either ultrasound or hydrodynamic cavitation. This will begin with a brief history, as we outline pioneering achievements, and will also update the reader on recent developments. Such hyphenated techniques are able to offer reliable and efficient protocols for basic chemistry, organic and inorganic synthesis as well as processing. The development of dedicated hybrid reactors has helped scientists to find solutions to new synthetic challenges in the preparation of nanomaterials and new green catalysts. This research topic falls within the confines of process intensification as it facilitates the design of substantially cleaner, safer and more energy efficient technologies and chemical processes.
Caracteristicas anatomicas y propiedades fisicas de la madera de Caesalpinia gaumeri Greenm en Dzan, Yucatan

Caesalpinia gaumeri Greenm is a highly prized species for construction of houses and poles in the Mayan region of Yucatan. In order to contribute to technological knowledge of its attributes and suggest potential uses of wood, were described its anatomical features and physical properties. This work was conducted in four trees in a tropical deciduous forest of Yucatan. It was found that the wood is dark brown color in the heartwood and chestnut in the sapwood, wire is cross, pronounced veining, texture and brightness are average, diffuse porosity; the elements of vessel have simple perforation plates, small pits and inclusions; the rays are uniseriate and biseriate, extremely low and thin; the axial parenchyma is aliform and confluent; fiber medium and cellular wall extremely thick; heavy density and for volumetric contraction as medium; there is no clear transition between early and late wood. By the anatomic characteristic (rays extremely low, thin and abundant, fiber medium and cellular wall extremely thick and inclusions) and physical properties such as heavy density, the wood of C. gaumeri can be used in the development of ties, poles, staves, and crafts. The wire cross and rhomboidal crystal of the wood limits the use in carpentry.
A multi analytical approach to understand and predict the mobile commerce adoption
Venue: J. Enterp. Inf. Manag.

The advent of mobile telephony devices with strong internet capabilities has laid the foundation for mobile commerce (m commerce) services. The purpose of this paper is to empirically examine predictors of m commerce adoption using a modification of the widely used technology acceptance model and the unified theory of acceptance and use of technology model.  The data were collected from 213 respondents by means of an online survey. The data were analyzed through multi analytic approach by employing structural equation modeling (SEM) and neural network modeling.  The SEM results showed that variety of services, social influence, perceived usefulness, cost and perceived trust have significant influence on consumer's intention to adopt m commerce. The only exception was perceived ease of use which observed statistically insignificant influence on adoption of m commerce. Furthermore, the results obtained from SEM were employed as input to the neural network mod.
Organic Farming and Sustainability in Food Choices: An Analysis of Consumer Preference in Southern Italy

In recent years an important trend in sustainable food consumption is represented by organic consumers. Organic agriculture not only preserves the environment but it also improves public health, bringing significant benefits both to the economy as well as to the social cohesion of rural areas. Based on these considerations the proposed paper aims to analyze consumers demand for organic food as products that contribute to the sustainability of food choices. Cross sectional data were collected through a web based survey on 200 organic consumers resident in Campania Region between January and March 2015. Furthermore, this research assess the impact of local origin on consumer preferences for organic products using a conjoint analysis.
DIFFERENTIATING "SUSTAINABLE" FROM "ORGANIC" AND "LOCAL" FOOD CHOICES: DOES INFORMATION ABOUT CERTIFICATION CRITERIA HELP CONSUMERS?

his paper seeks to estimate the effect of different certification claims on consumer preferences for food labeled as "sustainable" "organic" or "local" The first phase of analysis estimates the effect of information provision about detailed certification standards on choice over eco labeled food products. The second phase estimates the marginal effect of certification level on the probability of choosing a product with a given label. Finally, the third phase of analysis compares willingness to pay for each eco label, providing insight into perceived value trade offs. Results suggest weak differentiation between labels but potential for capturing price premiums with government backed certification claims
Supporting the Political Practice of Social Studies Teaching Across the Teacher Education Continuum

Social studies teaching inevitably involves regular, multidirectional political activity, even though educators may attempt to keep politics out of their work to avoid conflict and accusations of bias. Rather than positing the political dimensions of teaching as a contextual backdrop, the authors of this chapter represent politics as pedagogical practice. They argue that social studies teacher educators ought to grant such practice, like mediating conflicting policy demands and brokering the place of public policy problems in the curriculum, the same status and attention they bestow upon planning, instruction, and assessment. To make this case, the authors draw from examples in pre service teacher education and in service professional development, concluding with a set of recommendations for rethinking social studies teacher education to accommodate political activity as an enabler and a mode of pedagogical practice.
Using Principles as a Tool for Understanding Ethics Cases

For clinical ethics, the model used most often, even if it is less a theory than a practical compromise, is called "the four principles." Tom Beauchamp and James Childress first popularized this approach in their 1979 book, Principles of Biomedical Ethics. They have continued to develop this account for nearly 40 years and six editions. The principles have great utility, as evidenced by how they have been adopted (with varying degrees of modifications) by textbooks in medical ethics, nursing ethics, dental ethics, dental hygiene ethics, and many other clinical fields. Indeed, there is no reason to think they should not apply equally well to all clinical fields, and so could be useful for clinical social work and clinical psychology, as well as pharmacy, physical therapy, occupational therapy, speech therapy, and other allied health professions. This also means they are especially useful for helping an interprofessional team reach a consensus. Given the proven utility of the approach for clinical ethics and research ethics, four additional principles are proposed to define professionalism, followed by four additional principles for Public Health ethics.
Pixilated partnerships, overcoming obstacles in qualitative interviews via Skype: a research note

This research note discusses the effectiveness of using video internet technologies, like Skype, for qualitative interviews. Skype may present some challenges for interviewing, including dropped calls and pauses, inaudible segments, inability to read body language and nonverbal cues, and loss of intimacy compared to traditional in person interviews. Based on reflections from 45 university student researchers, the following short paper details how to overcome such obstacles and to create a successful research partnership between the researcher and participant. Strategies include confirming a stable internet connection, finding a quiet room without distractions, slowing down and clarifying talk, being open to repeating answers and questions, and paying close attention to facial expressions.
Military vehicle acoustic pattern identification by distributed Ground Sensors
Venue: 2016 15th Biennial Baltic Electronics Conference (BEC)

Object identification is an important task of military Intelligence Surveillance and Reconnaissance (ISR) systems. It plays an integral role during threat detection and situation assessment in the monitored area. This paper considers a ground ISR system comprising distributed Unmanned Ground Sensors (UGS) which perform military vehicle identification based on acoustic signal analysis. Each UGS operates autonomously and transmits its identification estimates through a Wireless Sensor Network (WSN) to data aggregation and fusion nodes, where situation assessment is performed. The vehicles are identified by applying a multistage decision making approach comprising time and frequency domain feature analysis and classification procedures. System operation is validated in a field experiment, during which several moving military vehicles are identified by UGS prototypes implemented on the BeagleBone Black platform. Identification accuracy reaches 89% for the chosen vehicles.
Prediction of Military Vehicle's Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests
Venue: Sensors

The scientific and effective prediction of drawbar pull is of great importance in the evaluation of military vehicle trafficability. Nevertheless, the existing prediction models have demonstrated lots of inherent limitations. In this framework, a multiple kernel relevance vector machine model (MkRVM) including Gaussian kernel and polynomial kernel is proposed to predict drawbar pull. Nonlinear decreasing inertia weight particle swarm optimization (NDIWPSO) is employed for parameter optimization. As the relations between drawbar pull and its influencing factors have not been tested on real vehicles, a series of experimental analyses based on real vehicle test data are done to confirm the effective influencing factors. A dynamic testing system is applied to conduct field tests and gain required test data. Gaussian kernel RVM, polynomial kernel RVM, support vector machine (SVM) and generalized regression neural network (GRNN) are also used to compare with the MkRVM model. The results indicate that the MkRVM model is a preferable model in this case. Finally, the proposed novel model is compared to the traditional prediction model of drawbar pull. The results show that the MkRVM model significantly improves the prediction accuracy. A great potential of improved RVM is indicated in further research of wheel soil interactions.
Relative Road Damage Analysis with Driving Modes of a Military Vehicle

A military vehicle is driven at different usage modes with the army application and servicing conditions. For practical durability validation, DT(Development Test) on a new military vehicle should be run up to the durability target kilometers on test courses in the specified proving ground. Driving velocities with test courses at the endurance mode of DT are established definitely. However, OT(Operational Test) and initial endurance test of production car can`t be performed only in the DT courses due to the development period limit. Therefore, this paper focuses on the method to analyze the relative road damages between the endurance test in DT and other endurance test. Road load acquisition tests on KLTV(Korean Light Tactical Vehicle) were implemented at 15 driving modes in off road and cross country courses of two tests. Wheel accelerations were processed through band pass filter, and then the main frequency and maximum power of the signals were computed by PSD analysis. Finally, using the proving ground optimization based on RDS(Relative Damage Spectrum) characterization, the damage factors between off roads of test courses were determined.
The effect of perceived organisational support on burnout among community health nurses in China: the mediating role of professional self concept.
Venue: Journal of nursing management

To examine the mediating effect of professional self concept on the association between perceived organisational support and burnout among community health nurses in Chengdu, China.  Burnout is a common phenomenon among nurses and previous studies have focused on work environmental factors contributing to burnout. Limited studies have examined the effects of perceived organisational support and professional self concept on burnout among community health nurses.  This was a cross sectional study with 551 community health nurses in Chengdu, China, which included a two stage sampling method. Structural equation modelling was used to examine the relationships among perceived organisational support, professional self concept and burnout.  The final sample included 456 nurses (82.7% Perceived organisational support was a significant positive direct predictor for professional self concept and a significant negative direct predictor for burnout. Professional self concept was a significant negative direct contributor to burnout. Professional self concept had a mediating effect on the relationship between perceived organisational support and burnout.  Perceived organisational support may result in reduced burnout by facilitating the development of positive professional self concept.  Strategies such as establishing a supportive work environment and professional competence training may be effective methods for burnout prevention and management among community health nurses.
Taking Stock of the Toolkit

When analyzing digital journalism content, journalism scholars are confronted with a number of substantial differences compared to traditional journalistic content. The sheer amount of data and the unique features of digital content call for the application of valuable new techniques. Various other scholarly fields are already applying computational methods to study digital journalism data. Often, their research interests are closely related to those of journalism scholars. Despite the advantages that computational methods have over traditional content analysis methods, they are not commonplace in digital journalism studies. To increase awareness of what computational methods have to offer, we take stock of the toolkit and show the ways in which computational methods can aid journalism studies. Distinguishing between dictionary based approaches, supervised machine learning, and unsupervised machine learning, we present a systematic inventory of recent applications both inside as well as outside journalism studies. We conclude with suggestions for how the application of new techniques can be encouraged.
Privacy preserving deep packet filtering over encrypted traffic in software defined networks
Venue: 2016 IEEE International Conference on Communications (ICC)

Deep packet filtering (DPF) has been demonstrated as an essential technique for effective fine grained access controls, but it is commonly recognized that the technique may invade the individual privacy of the users. Secure computation can address the tradeoff between privacy and DPF functionality, but the current solutions limit the scalability of the network due to the intensive computation overheads and large connection setup delay, especially for the latest network paradigm, network function virtualisation (NFV) and software defined network (SDN) In this paper, therefore, we propose a privacy preserving deep packet filtering protocol, named DPF ET, that can efficiently perform filtering function over encrypted traffic while diminishing the communication overhead and setup delay for the controller in SDN. DPF ET guarantees the data privacy for users and remains rule privacy for the network owner. The implementation results on an experimental HP SDN/NFV platform demonstrate that the proposed DPF ET outperforms the current approaches by reducing 250 times in the communications overhead and 32 times in the setup delay.
A Novel Real Time Pedestrian Detection System on Monocular Vision

Accuracy and speed are the two important keys in pedestrian detection. In order to balance these two indexes well, this thesis presents a novel pedestrian detection system, ROIs cascaded Uniform LBP and improved HOG, for real time pedestrian detection in monocular vision. Two contributions are made in this system. First contribution is that Uniform LBP (Local Binary Pattern) cascaded improved HOG (Histograms of Oriented Gradients) are the novel structure for pedestrian detection, which can improve detection speed. Second contribution is that this pedestrian detection system is evaluated by many methods and algorithms. Experiment shows that this system can deal with 31 fps, which can be used as the real time pedestrian detection system.
The effect of mindfulness training on attention and performance in national level swimmers: An exploratory investigation

This quasi experimental intervention study investigated the impact of mindfulness training on attention and performance in swimmers. Following an 8 week intervention with six national level university swimmers (M 20 years) single case analysis of pre and post measurements for three of six participants showed large improvements in mindfulness and attention efficiency. Two participants showed a small increase in one of mindfulness or attention efficiency, and one showed no changes. Four participants improved performance times compared with season best, and five participants improved self rated performance. Athletes and coach positively evaluated mindfulness training. This study, with strong ecological validity, shows improvements in mindfulness, attention, and performance, consistent with theory that proposes attention as a mechanism for mindfulness based performance changes. Mindfulness training can be an effective and practical intervention. Further applied research is required utilizing designs to d.
Computational Structural Pharmacology and Toxicology of Voltage Gated Sodium Channels.
Venue: Current topics in membranes

Voltage gated sodium channels are targets for many toxins and medically important drugs. Despite decades of intensive studies in industry and academia, atomic mechanisms of action are still not completely understood. The major cause is a lack of high resolution structures of eukaryotic channels and their complexes with ligands. In these circumstances a useful approach is homology modeling that employs as templates X ray structures of potassium channels and prokaryotic sodium channels. On one hand, due to inherent limitations of this approach, results should be treated with caution. In particular, models should be tested against relevant experimental data. On the other hand, docking of drugs and toxins in homology models provides a unique possibility to integrate diverse experimental data provided by mutational analysis, electrophysiology, and studies of structure activity relations. Here we describe how homology modeling advanced our understanding of mechanisms of several classes of ligands. These include tetrodotoxins and mu conotoxins that block the outer pore, local anesthetics that block of the inner pore, batrachotoxin that binds in the inner pore but, paradoxically, activates the channel, pyrethroid insecticides that activate the channel by binding at lipid exposed repeat interfaces, and scorpion alpha and beta toxins, which bind between the pore and voltage sensing domains and modify the channel gating. We emphasize importance of experimental data for elaborating the models.
Overview of Research

I am a microeconomic theorist studying market design. My research contributes to four areas of this field: matching, allocation without transfers, auctions, and the foundations of market design. The papers on matching formulated some of the first approaches to the study of complementarities, peer effects, and externalities, as well as a unifying approach to standard and far sighted stability concepts. The papers on allocation without transfers constructed and analyzed incentivecompatible and efficient mechanisms, and they showed that in large markets ordinal school choice mechanisms become allocationally equivalent while the efficiency advantage of cardinal mechanisms remains pronounced. The papers on auctions developed the theory of pay as bid auctions, the main auction format for the sale of divisible goods such as treasuries or electricity. One of the papers on the foundations of market design established that risk averse agents can trade efficiently. This unexpected result contrasts with the fundamental Myerson and Satterthwaite's theorem on the impossibility of efficient trade between quasi linear agents. Another paper showed how commitment emerges and the celebrated Coase conjecture fails when one accounts for buyers' ability to leave the negotiating table.
Kinship across conflict: family blood, political bones, and exhumation in contemporary Spain

In post conflict countries, caring for the dead challenges how family kinship and national history are organised. The exhumation of unmarked mass graves following decolonisation, civil war, and other forms of violence and oppression is one way by which heritage managers reconfigure kinship and history in the aftermath of conflict. Where governments fail to identify and acknowledge the dead, archaeologists and other heritage managers use exhuming to negotiate how the dead and their familial and political ties are remembered. In Spain, the exhumation of anti Francoist guerrillas killed after the 1936 1939 Spanish Civil War serves to restore broken kinship lines and give the dead a proper burial. Yet the symbolic and material recovery of their bones obligates families and the nation to confront the political past and their relationship with the anti Francoist dead. Drawing on ethnographic data from Teilan, Spain, I examine how the material presence of the anti Francoist dead resurfaces competing kinship responsibilities and ongoing political legacies in contemporary Spain. I conclude by drawing from these lessons to reflect on the exhumation process in other countries, drawing out the inferences especially for countries across Africa.
Sexual orientation family and kinship in France Iceland Italy and Spain

The past decades have seen significant changes in the way same sex sexualities are regulated in European countries, albeit discrimination and heterosexism are still occurring on a daily basis. The research through semi structured interviews was conducted on lesbian and gay respondents in France, Iceland, Italy and Spain, four European countries with different social contexts and legal frameworks. In a comparative perspective, it examines how laws are perceived to impact one's relationships and one's parental project. Discrimination is still present in the four countries at different degrees, however the existence of laws on access to marriage and parenting is regarded by many as crucial for fostering inclusion. From a social and economic point of view, the narratives evidenced that the law is not only a framework to live within: when legal support is provided, adaptation to the heteronormative structures are facilitated and welcomed by all while this lack of support makes everyday life difficult. In this paper we wish to report on the key results of the research.