Miracle-dz/UniFAR-FTUs huggingface dataset:
Supercapacitors State-of-Health Diagnosis for Electric Vehicle Applications

(SoH) estimation is an important feature since aging introduces degradation in supercapacitors’ performance, which might eventually lead to their failure. The diagnosis model is based on a sliding mode observer as a well-known technique for its high nonlinear parameters estimation performance. The main objective of this paper is the online State-of-Health diagnosis based on supercapacitors’ aging indicators estimation. The effectiveness of the proposed online observer is shown through experimental results.
Improved Capsule Network for Gaze Estimation in Wireless Sensor Networks

In this study, aiming at the problem of gaze estimation in the wireless sensor network in the car, we use image-based method to estimate gaze based on the single camera sensor. We use the deep learning model and propose the improved model from three aspects based on the original capsule network. The first is to increase the convolution layer, the second is to increase the capsule layer, and the third is to widen the capsule layer in the network. Through many contrast experiments, it is proved that the appropriate use of the first or second improved method can achieve performance over other comparison models, and the prediction results of gaze estimation are almost no different from the real gaze direction.
MicroRNA-1265 p promotes endothelial proliferation and limits atherosclerosis by suppressing Dlk 1

Atherosclerosis, a hyperlipidemia-induced chronic inflammatory process of the arterial wall, develops preferentially at sites where disturbed laminar flow compromises endothelial cell (EC) function. Here we show that endothelial miR-126-5p maintains a proliferative reserve in ECs through suppression of the Notch1 inhibitor delta-like 1 homolog (Dlk1) and thereby prevents atherosclerotic lesion formation. Endothelial recovery after denudation was impaired in Mir126−/− mice because lack of miR-126-5p, but not miR-126-3p, reduced EC proliferation by derepressing ©2014 Nature America, Inc. All rights reserved. Reprints and permissions information is available online at http://www.nature. com/reprints/index.html Correspondence should be addressed to A.S. (aschober@med.lmu.de) or C.W. (chweber@med.lmu.de). 9These authors contributed equally to this work. Accession codes. The microarray data have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus database under accession number GSE34262. Note: Any Supplementary Information and Source Data files are available in the online version of the paper. AUTHOR CONTRIBUTIONS A.S. and C.W. designed the study, analyzed data and wrote the paper. M.N. -J. performed mouse experiments and collected and processed the histological and qRT-PCR data. Y. W. collected data and performed luciferase assays and mimic treatments. K.B. performed and analyzed in vitro experiments. F.G. and F.K. collected data and performed the fluorescence molecular tomography and computed tomography analyses. J.G. was involved in the analysis of human atherosclerotic lesions. R.T. M. performed the multiphoton microscopy analysis. K.H. collected data and processed the in situ hybridization and immunostaining data. H.N. performed immunoblots and in vitro experiments. M.H. performed flow cytometry analysis and cell culture experiments under flow conditions. S.W. and E.N. O. were involved in study design and contributed to the mouse experiments. A.S. and M.N. -J. contributed equally to the study. All authors discussed the results and commented on the manuscript. COMPETING FINANCIAL INTERESTS The authors declare no competing financial interests. HHS Public Access Author manuscript Nat Med. Author manuscript; available in PMC 2015 April 15. Published in final edited form as: Nat Med. 2014 April ; 20(4): 368–376. doi:10.1038/nm.3487. A uhor M anscript
Robust Lasso Variable Selection for Factorial Experiments Analysis with Application

Many experiments have encountered problems in selecting the best model when the responses are non-normally distributed and especially when the number of factors is small. In this article, we propose to combine the lasso variable selection and robust method (Huber loss function), when the responses are distributed according to epsilon-skew-Laplace (ESL) distribution. The proposed modification (robust lasso) is compared to the traditional lasso and adaptive lasso for the analysis factorial experiment with two level for each factor. A simulation study and real data are conducted to investigate the performance of the proposed method. We employed the mean square errors to select the best model and the results show that the proposed method using robust lasso variable selection performs well.
Biogeochemical reaction and transport within hydrologic landscapes: crossing disciplinary and ecosystem boundaries

Delivery of materials from catchments to coasts constitutes a significant flux within many global elemental cycles. However, large uncertainties bracket estimates of land-sea fluxes, due to limited understanding of interactions among material retention, transport, and transformation within hydrologic landscapes. Freshwater ecosystems facilitate biogeochemical reaction by bringing reactants together in complex physico-chemical environments. Further, they comprise the transport network by which materials move from catchments to coasts. Whereas there have been significant gains in understanding and quantifying hydrologic transport (HT) and biogeochemical reaction (BR) within specific types of freshwater ecosystems (e.g., nutrient spiraling in streams), disparate methodologies and approaches among ecosystems hinder synthesis efforts across the hydrologic landscape. Our goal is to increase the potential for synthesis of HT and BR across traditional ecosystem boundaries. We review the methods and metrics for quantifying HT and BR for the major ecosystems within hydrologic landscapes: lakes, rivers, wetlands, and groundwater. We then identify the research challenges that currently limit integration of HTBR across hydrologic landscapes and discuss the potential for a common set of metrics and approaches to represent HT and BR across multiple freshwater ecosystems. We advocate an approach that ties distribution functions of water residence time explicitly with retention efficiency of materials and nutrients. Such an approach reduces the impact of ecosystem-specific complexities that confound scaling exercises, avoids the assumption of steady-state, and provides a means for direct comparison of material dynamics across the hydrologic landscape. *Corresponding author: E-mail: tamara.harms@alaska.edu
Version Peer reviewed version Link to publication record in King ' s Research Portal

The problem of limiting the diffusion of information in social networks has received substantial attention. To deal with the problem, existing works aim to prevent the diffusion of information to as many nodes as possible, by deleting a given number of edges. Thus, they assume that the diffusing information can affect all nodes and that the deletion of each edge has the same impact on the information propagation properties of the graph. In this work, we propose an approach which lifts these limiting assumptions. Our approach allows specifying the nodes to which information diffusion should be prevented and their maximum allowable activation probability, and it performs edge deletion while avoiding drastic changes to the ability of the network to propagate information. To realize our approach, we propose a measure that captures changes, caused by deletion, to the PageRank distribution of the graph. Based on the measure, we define the problem of finding an edge subset to delete as an optimization problem. We show that the problem can be modeled as a Submodular Set Cover (SSC) problem and design an approximation algorithm, based on the well-known approximation algorithm for SSC. In addition, we develop an iterative heuristic that has similar effectiveness but is significantly more efficient than our algorithm. Experiments on real and synthetic data show the effectiveness and efficiency of our methods.
Device Manufacturer Initial ConfigInitial Config Updated Config Config Attestation IoT Device Configuration Back-End Derive CredentialsDerive Credentials

The number of embedded systems and resource constrained devices is steadily increasing due to trends such as the Internet of Things (IoT) and the Industrial IoT. With that, also the frequency and extent of cyber-attacks that target these systems are rapidly increasing. Not only are most devices not adequately secured against such attacks, but also use default settings and authentication credentials. These problems are especially critical if the devices are deployed in industrial contexts where managing configurations and authentication credentials is a complex and inconvenient process. Therefore, in this paper, we present a device configuration approach that automatically derives authentication credentials from device configurations. We demonstrate that the additional performance required by our approach is acceptable while the provided security is reasonable when compared to traditional authentication approaches such as passwords. The security benefits of our approach are highlighted by an extensive security and threat analysis that demonstrates that 9 out of 10 identified threats are mitigated by our approach.
Analysis of Factors Affecting Serving Effectiveness in Volleyball Matches

Serving is an important means of attack and scoring in volleyball matches. The aggressive serve can destroy the opponent's pass, cause the opponent's tactical mistakes, and make it difficult to organize an effective attack. The revision of the rules of volleyball matches has great impetus to the development of volleyball and enhances the appreciation of the matches. The service quality of volleyball players is affected by many factors. It includes the influence of athletes' physical fitness and technical and tactical level. The development trend of today's world volleyball is offensive serve, breaking the other side's pass, creating conditions for defensive counterattacks or direct scoring. Volleyball players must have a comprehensive physical quality, and the lack of quality on either side will affect the quality of the serve. This paper analyzes the important role of teeing skills in volleyball games and discusses the main factors affecting the serve of volleyball players.
Title : Veto Players and Corruption in the EU

The Veto Players’ theoretical framework has been introduced the latest years as a proposed methodology for the analysis and comparison of political systems regarding their ability to produce and promote policy reforms. In this paper, focus is given on shedding some light on the correlation among the number and the characteristics of veto players and the levels of corruption. The study is targeted at the European Union countries, while specific analysis is provided for Greece due to the high levels of corruption and the recent fiscal crisis. A theoretical framework is presented where several hypotheses are formulated, while their validity is examined through an empirical analysis based on a wide set of data from various international data sources. According to the analysis results, it can be claimed that the veto players’ characteristics play a significant role towards the fight against corruption.
Comparative Study on the Production Cost of Geopolymer and Conventional Concretes

Globally there has been a growing demand for new construction materials that have low greenhouse gas emissions and effect sustainability during the past few decades. The boom in the industrial sectors has paved way for the consumption of cement and other natural resources in a massive manner. Depletion of these natural resources at such an alarming rate could affect sustainability with nothing to be conserved for our future generations. The main objective of any research is to discover a new or environmental friendly product. The underlying fact in every research is savings in cost, so that there is no hindrance on its adoption on a large scale or mass production. Only when the products are cost effective they will reach the common man. Geopolymer concrete is a very versatile material and also cost effective when compared to OPC concrete. The use of GPC precast elements will help speed up the construction process and also prove to be economical in the long run. In this paper, the cost of producing 1m of GPC and OPC are calculated based on the market rates of the ingredients required and compared for socio-economic feasibility. Based on the cost calculations, it was seen that the cost of production of OPC concrete is higher than the cost of production of GPC for higher grades. For M30 grade of GPC concrete the cost of production is marginally (1.7%) higher than OPC concrete of the same grade whereas for M50 grade, the cost of OPC concrete is 11% higher than GPC of same grade. Hence it can be concluded that savings in cost can be attained in the production of Geopolymer concretes of higher grades as well as lower grades with only a marginal difference.
Survey of Textual Entailment Approaches

Natural Language Inference, or Textual Entailment, has applications in many NLP tasks such as question-answering, text summarization, paraphrase detection, and machine translation evaluation. In this survey, we perform an analysis of developments in the NLI tasks. We discuss various approaches that have been proposed and datasets available to train deep learning models. We also describe a few applications of NLI.
Free Cognitum PoolParty Thesaurus Server Commercial Semantic Web Company Semaphore Ontology Manager Commercial Smartlogic Semaphore Limited

Knowledge Graph (KG) has become popular for its use in retrieving results for Google search. Google coined the term “Knowledge Graph” in 2012 for the semantic web created by them, which represents the world using nodes and edges. The knowledge graph is capable of deriving intelligence from data and reason the data automatically. Many researchers have attempted to design domainspecific KG to extract hidden insights from the domain. However, the development of the knowledge graph is onerous. In order to avoid the need of domain expertise for designing domain specific knowledge graph, researchers have proposed multiple methods. The paper summarizes the development process of domain specific knowledge graph. This paper will discuss the knowledge graph basics. The paper will also explain the existing knowledge graph and knowledge graph engineering techniques. Moreover, the paper will illustrate the knowledge graph learning techniques from a text corpus of the same domain. Finally, the paper discusses the knowledge graph evaluation techniques.
Analysis and Evaluation of Gesture Recognition using LeapMotion

Nowadays are emerging increasingly natural interaction devices, which use human body as a natural way of interacting with applications. To correctly interact with natural interfaces, also named NUI, there is a need to improve the recognition and performance evaluation of different gestures simultaneously in order to identify which configurations between gestures and settings best fit to get a greater efficiency on their recognition. The evaluation was performed based on real gestural attempts with two participants. Finally, the application got a gesture recognition average rate of 86.1% using only the minimum resources provided by the LeapMotion device.
Prebiotic Potential of Xylooligosaccharides Derived from Cassava Dregs in Balb / c Mice Colon

Xylooligosaccharides (XOS) are polymers of the sugar xylose bound by β(1→4) glycoside bonds. XOS have potency as a prebiotic and can be produced from agricultural waste such as cassava dregs. The purpose of this study was to examine prebiotic potential of XOS derived from cassava dregs from hydrolysis reaction catalyzed by endo-β-1,4-Dxylanase. The prebiotic activity of XOS derived from cassava dregs was examined by the number of Bifidobacterium, Lactobacillus, and Escherichia coli in Balb/c mice colon, the fermentation products of Bifidobacterium and Lactobacillus including changes in pH in the colon and short chain fatty acids (SCFAs) produced by the bacteria as well as the concentration of Ca2+ excreted through mice faeces. This study administered XOS derived from cassava dregs at 0.5 and 1.0 g (kg.BW) for 14, 21, and 28 days. The negative control group was Balb/c mice without XOS derived from cassava dregs. The results showed that feeding with XOS derived from cassava dregs at 0.5 and 1.0 g/ (kg.BW) could increase the number of both Bifidobacterium and Lactobacillus and decrease the number of E.scherichia coli. The main fermentation products of Bifidobacterium and Lactobacillus were SCFAs such as acetic acid and butyric acid with respective concentrations of 11.57 and 2.97 mM. The pH in the colon of treatment groups was more acidic than that of in the control groups. The Ca2+ absorption Ani Harfilia Hafidah, Erma Sulistyaningsih, Wuryanti Handayani and Anak Agung Istri Ratnadewi 1022 Pertanika J. Trop. Agric. Sc. 41 (3): 1021 1031 (2018) was increased by 0.27% (w/v) that is characterized by decreased concentration of Ca2+ in Balb/c mice faeces of treatment groups. This study has led to a conclusion that XOS derived from cassava dregs of xylan hydrolyzed by endo-β-1,4-D-xylanase has prebiotic effect.
Introduction to Discourse Relation Parsing and Treebanking (DISRPT): 7th Workshop on Rhetorical Structure Theory and Related Formalisms

This overview summarizes the main contributions of the accepted papers at the 2019 workshop on Discourse Relation Parsing and Treebanking (DISRPT 2019). Co-located with NAACL 2019 in Minneapolis, the workshop’s aim was to bring together researchers working on corpus-based and computational approaches to discourse relations. In addition to an invited talk, eighteen papers outlined below were presented, four of which were submitted as part of a shared task on elementary discourse unit segmentation and connective detection.
Effect of Magnetized Water and Different Levels of Water Supply on Growth and Yield of Navel Orange Trees

Water deficiency is a global dilemma that limits sustainable development plans in many countries, particularly in arid and semi-arid regions such as Egypt. Citrus is classified as one of the crops that are sensitive to water stress and low water quality, since exposing it to stress, leads to reducing its productivity. Therefore, the need arose for this study, which was carried out during 2016 and 2017 seasons on ten-years-old Washington navel orange trees (Citrus sinenses) budded on sour orange rootstock (Citrus aurantium L.) under sandy loam soil conditions at Belbeis region – El Sharkia Governorate, Egypt. The study aimed to improve water use efficiency and maximize water utilization by using magnetized water technique at different levels of water supply (100, 80 and 60% of ETc i.e. evapotranspiration) under drip irrigation system with high quality River Nile water to determine the most effective treatment. The data revealed that, the irrigation water quantity can be reduced by 20% while maintaining the production and the possibility of increasing it by using magnetic water technique. Additionally, the water use efficiency and the water unit economic return were higher even with the reduction of water quantity by 40%. The most effective treatment in the first season was achieved by magnetized water at 100% or 80% ETc that produced 2.54 and 2.57kg fruit for each cubic meter of irrigation water, respectively. In the second season, magnetized water at 100% ETc produced 3.22 kg fruit for each cubic meter of irrigation. Using magnetic water technique can maximize the utilization of high quality water and reduce the amount of irrigation water consumed.
Driving experience matters ! Comparison of experienced and inexperienced drivers in driving situations of varying complexity .

Studies have shown that competences as they are acquired usually pass through knowledge-, rule-, and skill-based stages (Rasmussen, 1987). As the most advanced level of competence has been reached reactions become widely automatic, demanding comparatively low resources. Consequently, additionally available resources can be used to improve performance in complex situations. In a simulator study we compared driving performance and workload of drivers with different skill levels in situations that varied in complexity. Results showed that drivers were able to adapt driving behavior and workload to roadways of increasing complexity. Differences were observed with experienced drivers varying their speed to a greater extent than their inexperienced counterparts. An analysis of eye movement did not show such differences. Contrary to our expectations, not driving experience but only roadway complexity had an impact on mental workload. Results indicate that drivers of different skill levels apply their knowledge to a different extent. Largely automatic and appropriate vehicle operation skills need time to develop whereas adequate visual scanning is likely to occur already at an early level of skill acquisition.
2 . 0 The Inherent Game Characteristics of Electronic Negotiations

Negotiation activities have often been referred to as a game. For example, negotiators dance around each other, play with different strategies, follow rules and protocols, decide on particular moves from a set of alternatives, and try to achieve the ultimate goal of agreement. This paper presents the results of an explorative literature study examining the inherent game characteristics of electronic negotiations. To consider the context of information system explicitly, we analyse e-negotiations conducted in negotiation support systems. Our results reveal among others a strong social interaction element, various levels of difficulties and challenges, different activity choices that may lead to the same goal and continual feedback during these activities. With respect to current IS trends such as serious games and gamification, these identified game characteristics may serve as a basis for a gamified negotiation support system.
EVS 27 Barcelona , Spain , November 17-20 , 2013 A study of hybrid propulsion system on forklift trucks

This paper discusses the hybrid systems used to power forklift trucks and presents an effective hybrid propulsion system. There are many advantages to applying the hybrid system to engine forklifts: dynamic operating patterns, speed, and torque. The engine forklift is tested to investigate the request torque and speed pattern at the VDI cycle, and the speed pattern of the forklift is demonstrated by comparing it with the Manhattan Bus cycle and the FTP72 cycle. The hybrid propulsion system is suggested to improve fuel economy preserving the drive ability and grade ability of engine forklift. Lastly, the simulation results of this hybrid configuration are shown, and the improvement factors of fuel economy are briefly demonstrated.
Internal control and non-efficiency investment of listed companies

Based on investment efficiency, this paper studies the influencing factors of investment efficiency and the relationship between internal control and investment efficiency. The research finds that: (1) The inefficient investment behavior of listed companies in China is mainly characterized by insufficient investment; (2) The higher the level of internal control of an enterprise, the higher its investment efficiency. The research in this paper shows that internal control plays an important role in the company's investment decision-making. Strengthening the construction of the internal control system can effectively improve the investment efficiency of the enterprise.