nils-herrmann/clean_scirepeval huggingface dataset:
Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two Layer Bidirectional Recurrent Neural Network
Venue: Sensors
Year: 2020

Dynamic hand gesture recognition is one of the most significant tools for human computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two layer Bidirectional Recurrent Neural Network for the recognition of dynamic hand gestures from a Leap Motion Controller (LMC) is proposed. In addition, based on LMC, an efficient way to capture the dynamic hand gestures is identified. Dynamic hand gestures are represented by sets of feature vectors from the LMC. The proposed system has been tested on the American Sign Language (ASL) datasets with 360 samples and 480 samples, and the Handicraft Gesture dataset, respectively. On the ASL dataset with 360 samples, the system achieves accuracies of 100% and 96.3% on the training and testing sets. On the ASL dataset with 480 samples, the system achieves accuracies of 100% and 95.2% On the Handicraft Gesture dataset, the system achieves accuracies of 100% and 96.7% In addition, 5 fold, 10 fold, and Leave One Out cross validation are performed on these datasets. The accuracies are 93.33% 94.1% and 98.33% (360 samples) 93.75% 93.5% and 98.13% (480 samples) and 88.66% 90% and 92% on ASL and Handicraft Gesture datasets, respectively. The developed system demonstrates similar or better performance compared to other approaches in the literature.
Nudge: Improving Decisions About Health, Wealth, and Happiness
Year: 2008

A groundbreaking discussion of how we can apply the new science of choice architecture to nudge people toward decisions that will improve their lives by making them healthier, wealthier, and more free Every day, we make decisions on topics ranging from personal investments to schools for our children to the meals we eat to the causes we champion. Unfortunately, we often choose poorly. Nobel laureate Richard Thaler and legal scholar and bestselling author Cass Sunstein explain in this important exploration of choice architecture that, being human, we all are susceptible to various biases that can lead us to blunder. Our mistakes make us poorer and less healthy; we often make bad decisions involving education, personal finance, health care, mortgages and credit cards, the family, and even the planet itself. In Nudge, Thaler and Sunstein invite us to enter an alternative world, one that takes our humanness as a given. They show that by knowing how people think, we can design choice environments that make it easier for people to choose what is best for themselves, their families, and their society. Using colorful examples from the most important aspects of life, Thaler and Sunstein demonstrate how thoughtful "choice architecture" can be established to nudge us in beneficial directions without restricting freedom of choice. Nudge offers a unique new take from neither the left nor the right on many hot button issues, for individuals and governments alike. This is one of the most engaging and provocative books to come along in many years.
AKOMODASI KULTURAL DALAM RESOLUSI KONFLIK BERNUANSA AGAMA DI INDONESIA
Year: 2020

Ethnic and religious diversity in Indonesia have become not only a wealth but in the same time also a threat to the country. They have also become the sources of cultural diversity as cultural assets that need attention. In fact, these cultural assets have potentials in the emergence of social and religious conflicts. This article suggests important findings carrying three main issues in looking at conflicts in the name of religion. With qualitative data analysis, the three main issues are collaborated. First, the conflict that took place in Indonesia tends to occur in three forms including; communal conflicts, sectarian conflicts and political installation conflicts. Second, conflict in the name of religion is triggered by several factors including lacking of understanding of the cultural, ethnic and religious diversities in Indonesia. Third, cultural accommodation by looking at the potential of local wisdom has been evidence to offer useful, needed alternatives in solving conflicts that occur in the community. This work recommends that it is necessary to deepen and disseminate all parties in empowering the potential of local culture in Indonesia. Keyword Accomodation Culture Religion Conflict Resolution Abstrak Keragaman etnis dan agama di Indonesia merupakan kekayaan sekaligus sebagai ancaman bagi negara ini. Keragaman etnis dan agama menghasilkan keragaman budaya yang merupakan aset kultural serta perlu mendapatkan perhatian. Aset kultural tersebut berpotensi besar dalam kemunculan konflik sosial maupun agama. Artikel ini menawarkan temuan penting mengenai tiga isu utama dalam melihat konflik atas nama agama. Dengan analisis data kualitatif, ketiga isu utama tersebut dielaborasi. Pertama, konflik yang berlangsung di Indonesia cenderung diperlihatkan dalam tiga bentuk antara lain: konflik komunal, konflik sektarian, dan konflik eskalasi politik. Kedua, faktor konflik agama dipicu beberapa faktor yang meliputi masih minimnya pemahaman realitas keragaman suku, etnis, dan agama di Indonesia. Ketiga, akomodasi kultural dengan melihat potensi kearifan lokal telah mampu dijadikan sebagai perangkat penyelesaian permasalahan konflik yang terjadi di tengah masyarakat. Rekomendasi artikel ini adalah diperlukan pendalaman dan sosialisasi semua pihak dalam memberdayakan potensi budaya lokal di Indonesia. Keyword Akomodasi Kultural Agama dan Resolusi Konflik
On the Layer Choice of the Image Style Transfer Using Convolutional Neural Networks
Venue: 2019 IEEE International Conference on Consumer Electronics Taiwan (ICCE TW)
Year: 2019

In this paper, the layer choices of the image style transfer method using the VGG 19 neural network are studied. The VGG 19 network is used to extract the feature maps which have their implicit meaning as a learning basis. If the layers for stylistic learning are not suitably chosen, the quality of style transferred image may not look good. After making experiments, it can be observed that the color information is concentrated on lower layers from conv1 1 to conv2 2, and texture information is concentrated on the middle layers from conv3 1 to conv4 4. As to the higher layers from conv5 1 to conv5 4, they seem to be able to depict image content well. Based on these observations, the methods of color transfer, texture transfer and style transfer are presented and make comparisons with conventional methods.
Recent Studies on Lithium ion Battery Thermal Behaviour for Electric and Hybrid Electric Vehicles: A Review
Year: 2019

Article history: Received 16 April 2019 Received in revised form 21 July 2019 Accepted 4 September 2019 Available online 29 September 2019 Environmental issues related to excess greenhouse gases have led to the introduction of electric (EV) and hybrid electric vehicles (HEV) The power source of these vehicles is mainly supplied from a battery specifically Lithium ion battery (LIB) Lithium ion battery possesses the characteristic of high power rating, high energy density, and high cycle life. However, this battery suffers from temperature problems, and thus battery thermal management (BTM) is crucial. This paper reviews the existing works related to lithium ion battery thermal behaviours such as battery heat generation, battery temperature distribution and battery thermal management. Analysis of battery heat generation and temperature distribution is focusing more on single cell temperature behaviour. For battery thermal management, cooling systems such as air based, liquid based and solid based are reviewed but special attention has been putting on aircooling type.
Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data
Venue: Sensors
Year: 2018

The bearing is the key component of rotating machinery, and its performance directly determines the reliability and safety of the system. Data based bearing fault diagnosis has become a research hotspot. Naive Bayes (NB) which is based on independent presumption, is widely used in fault diagnosis. However, the bearing data are not completely independent, which reduces the performance of NB algorithms. In order to solve this problem, we propose a NB bearing fault diagnosis method based on enhanced independence of data. The method deals with data vector from two aspects: the attribute feature and the sample dimension. After processing, the classification limitation of NB is reduced by the independence hypothesis. First, we extract the statistical characteristics of the original signal of the bearings effectively. Then, the Decision Tree algorithm is used to select the important features of the time domain signal, and the low correlation features is selected. Next, the Selective Support Vector Machine (SSVM) is used to prune the dimension data and remove redundant vectors. Finally, we use NB to diagnose the fault with the low correlation data. The experimental results show that the independent enhancement of data is effective for bearing fault diagnosis.
Integracion social: ?oportunidad de que familias de escasos recursos vivan en sectores de mayores ingresos y equipamientos? Una mirada a las posibilidades que entregan el mercado, el Estado y la via de la informalidad
Venue: EURE (Santiago)
Year: 2019

The objective of this article is to analyze the options of territorial integration that exist in the city of Santiago, with respect to the possibility that low income families can obtain housing in communes with good conditions of quality of urban life and that also do not congregate large masses of vulnerable families living in the same territory. The above, studied through the construction of quantitative data, graph the opportunities that currently exist to access a home, either through the private market, state support or informal actions. The data analysis concludes that none of these roads allows improving the territorial integration of the most vulnerable families in the country, leaving the question as to why the State does not promote with greater force mechanisms that allow achieving this objective, taking into account the different benefits that this process brings according to different experts.
Hepatoprotective effects of capsaicin and alpha tocopherol on mitochondrial function in mice fed a high fat diet.
Venue: Biomedicine pharmacotherapy Biomedecine pharmacotherapie
Year: 2018

Capsaicin (CAP) and alpha tocopherol (TOC) have antioxidant properties. We investigated effects of CAP and TOC on mitochondrial oxidative stress and mitochondrial bioenergetics in liver of mice fed HFD. AST, ALT, glucose, homeostasis model assessment insulin resistance index (HOMA IR) and mitochondrial oxidative stress parameters increased, whereas oxidative phosphorylation (OXPHOS) enzymes, tricarboxylic acid cycle (TCA) enzymes, ATP level and mitochondrial metabolic function (MTT) decreased in mice fed a HFD compared to the fed a standard diet (NC) Treatment of HFD together with CAP (HFC group) TOC (HFT group) or TOC and CAP (HCT group) can ameliorate the examined parameters. Because co treatment with CAP and TOC displayed a better ameliorating effect on liver redox status and mitochondrial bioenergetics functions, they can be useful to protect against HFD and oxidative stress related in liver diseases.
A moderated mediation analysis of the effect of lettering case and color temperature on trustworthiness perceptions and investment decisions
Year: 2020

The purpose of this study is to test the theoretical framework of lettering case, color temperature, perceived trustworthiness and investment intentions. First, it aims to test whether the effect of lettering case on investment intentions is mediated by trustworthiness. Second, the study will examine if this process is moderated by color temperature.,Following the behavioral research method, this study employed a 2 (the fully lowercase slogan vs the initial uppercase slogan) by 2 (warm color design vs cool color design) full factorial between subject design. Two hundred participants were recruited for the experiment to test the hypotheses.,For the lowercase slogans (vs uppercase slogans) we found that people tended to have a high level of perceived trustworthiness, which led to a high level of investment intentions. In addition, the indirect effect of the lettering case on investment intentions through the perceived trustworthiness was moderated by color temperature. Specifically, the visually warm advertisement (vs visually cool design) would strengthen the effect of lowercase slogans on customers' investment intentions.,When people make a financial decision with limited, incomplete or overly complex information, simplified visual heuristics, rather than rational algorithmic processing, play a significant role in their decision making process. However, only a limited amount of research has addressed the effect of the lettering case on customers' perceptions and the consequent decision making process from a financial advertising perspective. This study tries to supplement and extend the visual heuristics theory, highlighting the role of simplified heuristics, rather than rational algorithmic processing, in financial customers' decision making process.
Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem
Venue: Ann. Oper. Res.
Year: 2019

Immense concern for sustainability and increasing stakeholders' involvement has sparked tremendous interest towards designing optimal supply chain networks with significant economic, environmental, and social influence. Central to the idea, this study aims to design a closed loop supply chain (CLSC) network for an Indian laptop manufacturer. The network configuration, which involves a manufacturer, suppliers, third party logistics providers (forward and reverse) retailers, customers and a non government organisation (NGO) is modelled as a mixed integer linear programming problem with fuzzy goals of minimising environmental impact and maximising net profit and social impact, subject to fuzzy demand and capacity constraints. Profit is generated from the sale of primary and secondary laptops, earned tax credits, and revenue sharing with reverse logistics providers. The environmental implications are investigated by measuring the carbon emitted due to activities of manufacturing, assembling, dismantling, fabrication, and transportation. The social dimension is quantified in terms of the number of jobs created, training hours, community service hours, and donations to NGO. The novelty of the model rests on its quantification of the three triple bottom line (TBL) indicators and on its use of AHP TOPSIS for modelling the multi criteria perspectives of the stakeholders. Numerical weights for the triple lines of sustainability are utilized. Further, a fuzzy multi objective programming approach that integrates fuzzy set theory with goal programming techniques is utilised to yield properly efficient solutions to the multi objective problem and to provide a trade off set for conflicting objectives. The significance of the CLSC model is empirically established as a decision support tool for improving the TBL performance of a particular Indian laptop manufacturer. Practical and theoretical implications are derived from the result analysis, and a generalised quantitative closed loop model can be effectively adapted by other electronic manufacturers to increase their competitiveness, profitability, and to improve their TBL.
A walkthrough of name data networking: Architecture, functionalities, operations and open issues
Venue: Sustain. Comput. Informatics Syst.
Year: 2020

Name data networking (NDN) is one of the proposed ICN based future Internet architecture aims to substitute our current TCP/IP based Internet. The recent advancements in technology reduced the cost to connect to the Internet and made it feasible to connect a wide variety of devices that leads to rapid growth in hand held devices and exponentially increased Internet users. The Internet usage pattern has also changed dramatically in the last decade and a considerable proportion of Internet traffic consists of video files only. TCP/IP based Internet was designed to communicate between point to point entities and mobility, multicast support, security, and a tremendous amount of Internet traffic was not considered at that time. The mismatch between Internet usage requirements and current Internet architecture motivated researchers to come up with content based new sustainable Internet architecture. NDN is designed from a clean slate and supposed to overcome the shortcomings while leverage strength present in TCP/IP based Internet architecture. NDN is a request driven architecture where users request for content using names without concern about host. This article presents a detailed survey on NDN architecture, protocols, and previously proposed strategies. It also offers a comparative study on proposed strategies for naming, content caching, inter and intradomain routing, forwarding, and security. This survey uses a bottom up approach and a new taxonomy for comparative analysis and assessment to present insights about the differences between the existing strategies and protocols proposed for NDN. The survey also explored the present applications and ongoing research and suggests future research directions.
Advection of NH3 over a pasture field and its effect on gradient flux measurements
Year: 2009

Deposition of atmospheric ammonia (NH3) to semi natural ecosystems leads to serious adverse effects, such as acidification and eutrophication. A step in quantifying such effects is the measurement of NH3 fluxes over semi natural and agricultural land. However, measurement of NH3 fluxes over vegetation in the vicinity of strong NH3 sources is challenging, since NH3 emissions are highly heterogeneous. Indeed, under such conditions, local advection errors may alter the measured fluxes. In this study, local advection errors (DFz,adv) were estimated over a 14 ha grassland field, which was successively cut and fertilised, as part of the GRAMINAE integrated Braunschweig experiment. The magnitude of DFz,adv was determined up to 810 m downwind from farm buildings emitting between 6.2 and 9.9 kg NH3 day 1. The GRAMINAE experiment provided a unique opportunity to compare two methods of estimating DFz,adv: one inference method based on measurements of horizontal concentration gradients, and one based on inverse dispersion modelling with a two dimensional model. Two sources of local advection were clearly identified: the farm NH3 emissions leading to positive DFz,adv "bias towards emissions" and field NH3 emissions, which led to a negative DFz,adv "bias towards deposition" The local advection flux from the farm was in the range 0 to 27 ng NH3 m 2 s 1 at 610 m from the farm, whereas DFz,adv due to field emission was proportional to the local flux, and ranged between 209 and 13 ng NH3 m 2 s 1. The local advection flux DFz,adv was either positive or negative depending on the magnitude of these two contributions. The modelled and inferred advection errors agreed well. The inferred advection errors, relative to the vertical flux at 1 m height, were 52% on average, before the field was cut, and less than 2.1% when the field was fertilised. The variability of the advection errors in response to changes in micrometeorological conditions is also studied. The limits of the 2 D modelling approach are discussed.
A self tuning system for dam behavior modeling based on evolving artificial neural networks
Venue: Adv. Eng. Softw.
Year: 2016

We proposed a self tuning system for a dam behavior modeling.The system performs near real time generation of the optimized ANN dam model.Optimized model is adapted to currently available measurements and input parameters.The system is based on artificial neural networks and genetic algorithm.Case study showed advantages and disadvantages of this system compared to MLR/GA. Most of the existing methods for dam behavior modeling presuppose temporal immutability of the modeled structure and require a persistent set of input parameters. In real world applications, permanent structural changes and failures of measuring equipment can lead to a situation in which a selected model becomes unusable. Hence, the development of a system capable to automatically generate the most adequate dam model for a given situation is a necessity. In this paper, we present a self tuning system for dam behavior modeling based on artificial neural networks (ANN) optimized for given conditions using genetic algorithms (GA) Throughout an evolutionary process, the system performs near real time adjustment of ANN architecture according to currently active sensors and a present measurement dataset. The model was validated using the Grancarevo dam case study (at the Trebisnjica river located in the Republic of Srpska) where radial displacements of a point inside the dam structure have been modeled as a function of headwater, temperature, and ageing. The performance of the system was compared to the performance of an equivalent hybrid model based on multiple linear regression (MLR) and GA. The results of the analysis have shown that the ANN/GA hybrid can give rather better accuracy compared to the MLR/GA hybrid. On the other hand, the ANN/GA has shown higher computational demands and noticeable sensitivity to the temperature phase offset present at different geographical locations.
Performance evaluation of onion (Allium cepa L. varieties in tropical plains of Thrissur district, Kerala
Year: 2016

A screening trial to identify the suitable onion varieties for the plains of Thrissur district was carried out in Krishi Vigyan Kendra, Thrissur,India during 2014 15 with 20 high yielding varieties and the biometric and yield parameters were analyzed. Though there were not much significant differences in the performance of the varieties, the study revealed that onion can also be a good and viable option that can be grown in the homesteads in the plains of the district in the winter season. Based on the study, the onion varieties Bhima Sakthi, Agri Found Light Red, Agri Found White, Arka Kalyan, Bhima Super, and Agri Found Dark Red can be recommended for the plains of Thrissur distrct, Kerala state. The results presented based on analysis of data reflects that all varieties tried were appreciable in the field conditions except Bhima Raj in terms of marketable bulb yield and percentage of productive bulbs. Except three of the varieties tried, all can be subjected to further investigations on crop management practices to realize the potential yield.