nils-herrmann/clean_scirepeval huggingface dataset:
Improvement of damping properties in laser processed superelastic Cu Al Mn shape memory alloys

Cu based shape memory alloys may be a prime candidate to replace NiTi in specific applications due to their reduced cost and excellent superelasticity. Superelastic Cu Al Mn alloy is currently being studied for potential applications as damping systems in seismic devices. However, joining techniques are often required to obtain complex shapes to be incorporated into multi functional systems. In this study, the effect of post weld laser processing was investigated in a laser welded superelastic Cu 17Al 11.4Mn (at. alloy and the mechanical properties were assessed. It was observed that post weld laser processing increased the alloy tensile strength to almost the double of the as welded material while the capability to absorb energy during mechanical cycling increased up to 1.7 times. Thus, laser processing was seen as a suitable technique to improve mechanical properties of welded CuAlMn alloys, supporting the use of these materials in applications where both strength and energy absorption are required, such as in seismic applications.
Seismic resisting self centering structures with superelastic shape memory alloy damping devices

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A screening based platform for the assessment of cellular respiration in Caenorhabditis elegans
Venue: Nature Protocols

Mitochondrial dysfunction is at the core of many diseases ranging from inherited metabolic diseases to common conditions that are associated with aging. Although associations between aging and mitochondrial function have been identified using mammalian models, much of the mechanistic insight has emerged from Caenorhabditis elegans. Mitochondrial respiration is recognized as an indicator of mitochondrial health. The Seahorse XF96 respirometer represents the state of the art platform for assessing respiration in cells, and we adapted the technique for applications involving C. elegans. Here we provide a detailed protocol to optimize and measure respiration in C. elegans with the XF96 respirometer, including the interpretation of parameters and results. The protocol takes ~2 d to complete, excluding the time spent culturing C. elegans, and it includes (i) the preparation of C. elegans samples, (ii) selection and loading of compounds to be injected, (iii) preparation and execution of a run with the XF96 respirometer and (iv) postexperimental data analysis, including normalization. In addition, we compare our XF96 application with other existing techniques, including the eight well Seahorse XFp. The main benefits of the XF96 include the limited number of worms required and the high throughput capacity due to the 96 well format.
Microsatellite loci and genetic structure of artificial populations of Cotesia flavipes (Hymenoptera, Braconidae)
Venue: Genetics and molecular research GMR

Cotesia flavipes (Cameron) is a parasitoid wasp used in the biological control of the sugarcane borer (Diatraea saccharalis) (Fabr. 1794) Studies on the genetic diversity of C. flavipes are hampered by the lack of highly polymorphic molecular markers. In this report, a set of 11 microsatellite loci were developed from an enriched library of C. flavipes. Four microsatellite loci were polymorphic and were screened in 212 C. flavipes individuals (183 females and 29 males) that were randomly sampled from seven rearing laboratory populations. The number of alleles ranged from two to three. The average inbreeding coefficient (FIS) among all laboratory populations was 0.120, indicating an excess of homozygotes. The average genetic diversity within the laboratory populations was 0.292, which is lower than the values reported for wild Cotesia spp populations. Genetic diversity was most pronounced within laboratory populations (70 to 90% Most of the observed alleles were fixed or close to fixation. This low overall genetic diversity may have originated from a founder effect, i.e. the contribution of a small number of individuals (genes and alleles) to the formation of these populations. To our knowledge, this study is the first to provide microsatellite loci and an analysis of the genetic structure of C. flavipes. Our results suggest that new introductions of C. flavipes may increase genetic diversity and improve the efficiency of the biological control of D. saccharalis. In addition, population structure data could be used to estimate the minimum number of wasps to be imported.
Multi task Sequence to Sequence Learning
Venue: ICLR

Sequence to sequence learning has recently emerged as a new paradigm in supervised learning. To date, most of its applications focused on only one task and not much work explored this framework for multiple tasks. This paper examines three multi task learning (MTL) settings for sequence to sequence models: (a) the oneto many setting where the encoder is shared between several tasks such as machine translation and syntactic parsing, (b) the many to one setting useful when only the decoder can be shared, as in the case of translation and image caption generation, and (c) the many to many setting where multiple encoders and decoders are shared, which is the case with unsupervised objectives and translation. Our results show that training on a small amount of parsing and image caption data can improve the translation quality between English and German by up to 1.5 BLEU points over strong single task baselines on the WMT benchmarks. Furthermore, we have established a new state of the art result in constituent parsing with 93.0 F1. Lastly, we reveal interesting properties of the two unsupervised learning objectives, autoencoder and skip thought, in the MTL context: autoencoder helps less in terms of perplexities but more on BLEU scores compared to skip thought.
Evolving ICT and governance in organizational networks Conceptual and theoretical foundations
Venue: Electron. Mark.

Both private and public sector organizations tend to participate in networks in order to gain access to knowledge, skills and resources of other organizations and to create synergies to achieve highly demanding and complex goals they cannot attain individually. The governance of these networks has been recognized as being an important variable influencing organizational network performance. This Special Issue aims to contribute to the investigation and understanding of the relationships between ICT and governance of organizational networks. This introductory paper provides the conceptual and theoretical background. The relationship between network governance and technology is bi directional; evolutions in ICT enable the development of new types of network collaborations and governance, whereas governance of collaboration networks is critical for the development of complex ICT infrastructures. We argue that network governance should be conceptualized as an evolving socio technical process shaped by actors and aimed at tackling complex and dynamic contemporary challenges.
The Relationship between Organizational Learning Capabilities (OLC) and Knowledge Performance among Academic Librarians

This paper shows the results of a study that examine the relationships between OLC's dimensions (shared vision and mission, organisational culture, teamwork cooperation, transfer of knowledge, systems thinking, leadership, employees skills and competencies, ICT) and knowledge performance. A set of questionnaire was personally distributed to academic librarians in selected university libraries in Malaysia. A total of 186 (78% of the respondents returned the questionnaire for further analysis. Result showed that all the dimensions were correlated with the degree of weak to moderate correlation with knowledge performance. The results also indicated that employees' skills and competencies was moderately correlated with knowledge performance (p 0.01, r 0.637) The outcome of the study is expected to assist the librarians and academic libraries for improving the skills of acquiring knowledge and learning capabilities toward enhancing the knowledge performance.
Managers' perceptions of the role of ICT in rural tourism firms efficiency: The case of Slovenia

In the paper, results of a fi eld research among managers working in Slovene rural tourism SMEs are presented. A questionnaire was developed and employed to measure their perceptions of the ICT infl uence on their fi rms' effi ciency. Th e correlation analysis results showed that the most important factor aff ecting fi rms' revenue growth, profi tability, organizational climate and customers' satisfaction are perceived benefi ts from ICT use. Expectedly, younger and more educated managers, as well as those operating in fi rms with more employees, perceive the role of ICT as more important than their older and less educated counterparts. Furthermore, it was established by linear regression analysis, where a composite performance indicator was used as dependent variable, that perception of the ICT benefi ts and ICT skills signifi cantly positively aff ect the fi rms' performance. Th e results may present a valuable information for decision makers when preparing strategies and plans for rural tourism development, investments in ICT infrastructure, for specifi c promotional actions, and education programs development.
Design of Surface Active Artificial Enzyme Particles to Stabilize Pickering Emulsions for High Performance Biphasic Biocatalysis.
Venue: Advanced materials

Surface active artificial enzymes (SAEs) are designed and constructed by a general and novel strategy. These SAEs can simultaneously stabilize Pickering emulsions and catalyze biphasic biotransformation with superior enzymatic stability and good re usability; for example, for the interfacial conversion of hydrophobic p nitrophenyl butyrate into yellow water soluble p nitrophenolate catalyzed by esterase mimic SAE.
Enhanced Supply of Hydroxyl Species in CeO2 Modified Platinum Catalyst Studied by in Situ ATR FTIR Spectroscopy

The recent development of anion exchange membranes (AEMs) has increased the potential of anion exchange membrane fuel cells (AEMFCs) Although highly active electrocatalysts for specific reactions have been successfully developed by placing the most importance on the fuel species, only a few studies have focused on OHad (hydroxyl adsorbed species) which is known to be a common reactive species in alkaline environments. In this study, highly oxophilic CeO2 was selected as a surface modifier for a Pt electrode. We first applied in situ attenuated total reflection Fourier transform infrared (ATR FTIR) spectroscopy to ionomer coated Pt and CeO2 modified Pt surfaces for clarifying the adsorption behavior of OHad. As a result, a distinct change in adsorption behavior of OHad was confirmed in blank KOH solution. These peculiar characteristics were applicable to various electrochemical oxidation reactions. During the ammonia oxidation reaction, the acceleration of the formation of NOad species was observed in Ce.
In Situ ATR FTIR Studies of Ethanol Electro oxidation in Alkaline Medium on PtRh/C Electrocatalyst Prepared by an Alcohol Reduction Process
Venue: Electrocatalysis

AbstractAnion exchange membrane fuel cell is a new chance to produce a functional and portable fuel cell; however, the studies are still at an early stage with few reports regarding the AEMFC. PtRh/C electrocatalysts with different Pt:Rh atomic ratios were prepared by an alcohol reduction process. X ray diffraction patterns for all PtRh/C materials indicated no shift in Pt(fcc) peaks showing that Rh did not incorporated into Pt lattice; however, the analysis of lattice parameter showed that some Pt atoms are added to Rh(fcc) structure. The mean particle sizes were in the range of 4 5 nm. Electrochemical experiments showed that PtRh/C electrocatalyst with Pt:Rh atomic ratio of 70:30 had superior performance exhibiting a current density of 5.0 mA mgmetal 1. From in situ ATR FTIR experiments, it was observed that PtRh/C electrocatalyst with Pt:Rh atomic ratio of 70:30 produced more acetate ions than other ones, while the material prepared with Pt:Rh atomic ratio of 50:50 was more selective to CO2 as observed in acid media. Graphical AbstractIntegrated acetaldehyde, carbonate, acetate, and CO2 band intensity as a function of the electrode potential for Pt/C, Rh/C, and PtRh/C electrocatalysts
Teacher agency and professional learning in cross cultural teaching contexts: Accounts of Chinese teachers from international schools in Hong Kong

This study examined how teacher agency shaped professional learning in cross cultural teaching contexts. Interviews with 14 Chinese language teachers showed that teacher agency varied in different dimensions of professional learning. Social suggestions, power relations, teachers' professional and social positioning and the imposed identity and social roles in the school contexts interacted to shape teacher agency. The findings suggest both creating school cultures and structures that value and share diverse discursive and pedagogical practices and managing teachers' professional identity and self positioning to enhance teachers' agency to engage in mutual learning and remaking of their work practices.
Deep Reinforcement Learning for Dialogue Generation
Venue: EMNLP

Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on future outcomes. Modeling the future direction of a dialogue is crucial to generating coherent, interesting dialogues, a need which led traditional NLP models of dialogue to draw on reinforcement learning. In this paper, we show how to integrate these goals, applying deep reinforcement learning to model future reward in chatbot dialogue. The model simulates dialogues between two virtual agents, using policy gradient methods to reward sequences that display three useful conversational properties: informativity (non repetitive turns) coherence, and ease of answering (related to forward looking function) We evaluate our model on diversity, length as well as with human judges, showing that the proposed algorithm generates more interactive responses and manages to foster a more sustained conversation in dialogue simulation. This work marks a first step towards learning a neural conversational model based on the long term success of dialogues.
A Behavioral New Keynesian Model

This paper presents a framework for analyzing how bounded rationality affects monetary and fiscal policy. The model is a tractable and parsimonious enrichment of the widely used New Keynesian model with one main new "cognitive discounting" parameter, which quantifies how poorly agents understand future economic disturbances. That myopia parameter, in turn, affects the power of monetary and fiscal policy in a microfounded general equilibrium. A number of consequences emerge. (i) Fiscal stimulus or "helicopter drops of money" are powerful and, indeed, pull the economy out of the zero lower bound. More generally, the model allows for the joint analysis of optimal monetary and fiscal policy. (ii) The Taylor principle is strongly modified: even with passive monetary policy, equilibrium is determinate, whereas the traditional rational model yields multiple equilibria, which reduces its predictive power, and generates indeterminate economies at the zero lower bound (ZLB) (iii) The ZLB is much less costly than in the traditional model. (iv) The model brings a natural solution to the "forward guidance puzzle" the fact that in the rational model, shocks to very distant rates have a very powerful impact on today's consumption and inflation; because agents are partially myopic, this effect is muted. (v) Optimal policy changes qualitatively: the optimal commitment policy with rational agents demands "nominal GDP targeting" this is not the case with behavioral firms, as the benefits of commitment are less strong with myopic firms. (vi) The model is "neo Fisherian" in the long run, but Keynesian in the short run: a permanent rise in the interest rate decreases inflation in the short run but increases it in the long run. The non standard behavioral features of the model seem warranted by extant empirical evidence.
Effects of Low Fat Diets Differing in Protein and Carbohydrate Content on Cardiometabolic Risk Factors during Weight Loss and Weight Maintenance in Obese Adults with Type 2 Diabetes
Venue: Nutrients

Despite evidence for the benefits of higher protein (HP) diets in weight loss, their role in type 2 diabetes mellitus (T2DM) management and weight maintenance is not clear. This randomised study compared the effects of a HP diet (38% carbohydrate, 30% protein, 29% fat) to a isocaloric higher carbohydrate diet (HC: 53%:21%:23% on cardiometabolic risk factors for 12 weeks in energy restriction ~30% reduction) followed by 12 weeks of energy balance whilst performing regular exercise. Outcomes were measured at baseline and the end of each phase. Sixty one overweight/obese adults (BMI (body mass index) 34.3 5.1 kg/m2, aged 55 8 years) with T2DM who commenced the study were included in the intention to treat analysis including the 17 participants (HP n 9, HC n 8) who withdrew. Following weight loss (M SEM: 7.8 0.6 kg) there were significant reductions in HbA1c 1.4% 0.1% p 0.001) and several cardiometabolic health risk factors. Improvements were sustained for 12 weeks when weight was stabilised and weight loss maintained. Both the HP and HC dietary patterns with concurrent exercise may be effective strategies for weight loss and weight maintenance in T2DM although further studies are needed to determine the longer term effects of weight maintenance.
Generalized Model of VSC Based Energy Storage Systems for Transient Stability Analysis
Venue: IEEE Transactions on Power Systems

This paper presents a generalized energy storage system model for voltage and angle stability analysis. The proposed solution allows modeling most common energy storage technologies through a given set of linear differential algebraic equations (DAEs) In particular, the paper considers, but is not limited to, compressed air, superconducting magnetic, electrochemical capacitor and battery energy storage devices. While able to cope with a variety of different technologies, the proposed generalized model proves to be accurate for angle and voltage stability analysis, as it includes a balanced, fundamental frequency model of the voltage source converter (VSC) and the dynamics of the dc link. Regulators with inclusion of hard limits are also taken into account. The transient behavior of the generalized model is compared with detailed fundamental frequency balanced models as well as commonly used simplified models of energy storage devices. A comprehensive case study based on the WSCC 9 bus test system is presented and discussed.
Fundamental limits of secure device to device coded caching
Venue: 2016 50th Asilomar Conference on Signals, Systems and Computers

We consider a device to device coded caching system, where each user is guaranteed recover its requested file and is simultaneously prevented from recovering any file it did not request. We jointly optimize the cache placement and delivery policies such that a set of end users are able to satisfy their requests while preserving the confidentiality constraints. We develop an upper bound utilizing secret sharing schemes and one time pad keying as well as a lower bound on the required transmission rate. Numerical results indicate that the gap between the bounds vanishes with increasing memory size.
Analisis ultrabiomicroscopico de quistes iridianos

Resumen Objetivo Describir los hallazgos ultrabiomicroscopicos y complicaciones de pacientes con quistes iridianos. Diseno Serie de casos, restrospectivo. Metodo Se incluyo a 13 pacientes con diagnostico de quistes de iris, confirmado mediante ultrabiomicroscopia (UBM) en un periodo de 10 anos (2002 2012) en un centro oftalmologico de la ciudad de Mexico. Se incluyeron datos demograficos, historia clinica medica y ocular, caracteristicas clinicas y ultrabiomicroscopicas (tipo, numero, localizacion y hallazgos acusticos) asi como complicaciones asociadas. Se realizo un analisis descriptivo, incluyendo medias y desviacion estandar. Resultados La distribucion por sexo fue 8 mujeres y 5 hombres, con edad promedio de 44,5 anos 15,5 (rango de 6 a 70 anos) El 92,3% fueron quistes del epitelio pigmentado y 7,7% del estroma; el 76,9% se encontraron en la periferia y 69,2% entre los meridianos de las II y las VI horas del reloj. Todos los quistes mostraron una pared con reflectividad moderada a alta. El 38,5% presento complicaciones (el 15,4% cierre parcial del angulo camerular; el 15,4% glaucoma secundario de angulo cerrado y el 7,7% discoria) Conclusiones La mayoria de los quistes de iris son derivados del epitelio pigmentado, de curso benigno y con una baja tasa de complicaciones. La UBM es una herramienta indispensable que nos permite planear tratamientos localizados, especificos, mas conservadores y menos destructivos, con un dano potencial menor de las estructuras oculares y, por lo tanto, mejor pronostico visual.
Energy Efficient Resource Allocation for Downlink Non Orthogonal Multiple Access Network
Venue: IEEE Transactions on Communications

Non orthogonal multiple access (NOMA) is a promising technique for the fifth generation mobile communication due to its high spectral efficiency. By applying superposition coding and successive interference cancellation techniques at the receiver, multiple users can be multiplexed on the same subchannel in NOMA systems. Previous works focus on subchannel assignment and power allocation to achieve the maximization of sum rate; however, the energy efficient resource allocation problem has not been well studied for NOMA systems. In this paper, we aim to optimize subchannel assignment and power allocation to maximize the energy efficiency for the downlink NOMA network. Assuming perfect knowledge of the channel state information at base station, we propose a low complexity suboptimal algorithm, which includes energy efficient subchannel assignment and power proportional factors determination for subchannel multiplexed users. We also propose a novel power allocation across subchannels to further maximize energy efficiency. Since both optimization problems are non convex, difference of convex programming is used to transform and approximate the original non convex problems to convex optimization problems. Solutions to the resulting optimization problems can be obtained by solving the convex sub problems iteratively. Simulation results show that the NOMA system equipped with the proposed algorithms yields much better sum rate and energy efficiency performance than the conventional orthogonal frequency division multiple access scheme.
Design patterns for gamification of work
Venue: TEEM

Gamification of work provides a chance of rising employees' engagement, improving their attitude towards work, and, in turn, increasing their productivity. As the problems faced when applying gamification to various work environments are similar, so are the solutions. Unexpectedly, even though a number of reusable gamification elements, techniques or patterns were described in the literature, due to the way they are presented, they offer little guidance for their use by a work gamification designer. This work aims to address this gap by providing a concise description format for gamification design patterns, their practical classification, and definitions of 21 patterns that can be used for designing gamification of work.