Miracle-dz/UniFAR-FTUs huggingface dataset:
About Heterogeneity of Countries in Negotiations of International Environmental Agreements Discussion

The theory of coalition formation which has been developed in a symmetric framework, explains that the problem of participation in the negotiations on climate change can be attributed to the existence of positive externalities and the incentive to free ride. The three papers on negotiations in this volume present the other e¤ects which arise when asymmetries between countries are taken into account. Here, the instability of the grand coalition and the emergence of climate-blocks are discussed. The question is whether the latter are observed in reality and is this harmful? JEL Classi cations: C68, C70, C71, C72, H23, H41, Q25. Key words: climate change, emissions trading, exibility mechanism, country-speci c targets, climate-blocs, agreement, coalition formation, negotiation, membership, stability. GREQAM and University of Toulon, Institute for Advanced Study, Princeton.
AC 3 N : Anonymous Communication in Content-Centric Networking Gene

Content-Centric Networking (CCN) is an emerging (inter-)networking architecture with the goal of becoming an alternative to the IP-based Internet. To be considered a viable candidate, CCN must at least have parity with existing solutions for confidential and anonymous communication, e.g., TLS, tcpcrypt, and Tor. ANDāNA (Anonymous Named Data Networking Application) was the first proposed solution that addressed the lack of anonymous communication in Named Data Networking (NDN)–a variant of CCN. However, its design and implementation led to performance issues that hinder practical use. In this paper we introduce AC3N: Anonymous Communication for Content-Centric Networking. AC3N is an evolution of the ANDāNA system that supports high-throughput and low-latency anonymous content retrieval. We discuss the design and initial performance results of this new system.
The Value of Using Coal Gasification as a Long-Term Natural Gas Hedge for Ratepayers Corresponding

Natural gas has become a commodity of extraordinary volatility, with a growing share of demand met by imports. Demand growth resulting from the rapid expansion of gas-fired power-generation capacity over the last decade has introduced a substantial element of fuel price risk into basic goods (natural gas and electricity) required by consumers, exacerbating the already-high level of price volatility in natural gas used for heating. Because of the highly inelastic nature of both electricity and home-heating demand, volatility in natural gas prices can be a particular burden to residential and commercial consumers. Despite the potentially significant value to be gained from developing a means of limiting price risk for consumers, there are very few alternatives available for long-term hedging of natural gas prices. Coal gasification represents not only a means of obtaining a large long-term supply of natural gas at a reasonable price, but also one of the few alternatives available as a long-term physical hedge for natural gas price volatility. In this paper we determine the value of using coal gasification as a long-term hedge to consumers and discuss the potential value to gas utilities. Although the results presented in this paper can be applied generally, our analysis focuses specifically on the value to Indiana residential and commercial heating consumers of a proposed SNG project in Southwest Indiana.
Acoustic analysis with absorbing finite elements and far-field computations using free-space Green ’ s functions

A family of absorbing-boundary finite elements (FEs) is recently developed for the acoustic time-harmonic, transient and modal analyses of problems having fluid domains of infinite extent. These elements can be easily ‘glued’ to the truncated exterior surface of an underlying FE mesh. The desirable characteristics of the absorbing elements are that they are local and produce banded symmetric element matrices. Since the use of the absorbing FEs reduces the size of the FE model through the premature truncation of the mesh, a post-processing procedure must be employed to obtain solutions far away from FE domain in the case of transient and time-harmonic analyses. In this paper free-space Green’s functions are utilized, in the context of time-harmonic analysis, in association with the computed solutions at the exterior boundary where absorbing-boundary FEs are placed in order to compute pressure distribution outside the FE computational domain. The paper demonstrates that the computation of accurate pressure gradients at the absorbing-boundary element nodes plays a crucial role in obtaining accurate pressure solutions outside the FE computational domain. q 2002 Elsevier Science Ltd. All rights reserved.
Leveraging linked open data information extraction for data mining applications

The linked open data cloud, with a huge volume of data from heterogeneous and interlinked datasets, has turned the Web into a large data store. It has attracted the attention of both developers and researchers in the last few years, opening up new dimensions in machine learning and knowledge discovery. Information extraction procedures for these processes use different approaches, e.g., template-based, federated to multiple sources, fixed depth link traversal, etc. They are limited by problems in online access to datasets’ SPARQL endpoints, such as servers being down for maintenance, bandwidth narrowing, limited numbers of access points to datasets in particular time slots, etc., which may result in imprecise and incomplete sets of feature vector generation, affecting the quality of knowledge discovered. The work presented here addresses the disadvantages of online data retrieval by proposing a simple and automatic way to extract features from the linked open data cloud using a linked traversal approach in a local environment with previously identified and known sets of interlinked RDF datasets. The user is given the flexibility to determine the depth of the neighboring properties to be traversed for information extraction to generate the feature vector, which can be used for machine learning and knowledge discovery. The experiment is performed locally with Virtuoso Triple Store for storage of datasets and an interface developed to build the feature vector. The evaluation is performed by comparing the obtained feature vector with gold standard instances annotated manually and with a case study for estimating the effects of demography in movie production for a country. The advantage of the proposed approach lies in overcoming problems with online access of data from the linked data cloud, RDF dataset integration in both local and web environments to build feature vectors for machine learning, and generating background knowledge from the linked data cloud.
Probing of Phytofungal Proteins for Fungicidal Activity by Molecular Docking

Background: Plant fungal diseases are the primary causes of foliage and crop loss eventually affecting the overall economic outcome and yield quality. Hence, various chemical compounds are employed to eradicate the fungi in agriculture. Methods: Virtual screening and molecular docking strategies provide themselves as great alternatives to find lead compounds. Lead compounds for each fungal infection was docked to target protein sequence and assessed for the strongest interaction. Findings: Various molecules were taken under the study, for being the target ligands to bring about a fungicidal reaction in the plant pathogen system. The screening of molecules was done thoroughly to produce the results. Ligands identified through this study allow us to make plant host fight against the fungal pathogen and prevent the occurrence of the disease. The interactions have been thoroughly studied with various softwares like SPDBV and PyMol and through various online databases like STRING, GenePept, PDB, UniProt, PatchDock, Protein structure prediction server -2 and others for the overall evaluation of the drug molecule designed and to study its overall effects for the overall higher efficacy and to prevent the occurrence of the fungal disease and management of the fungal pathogens in agriculture against various economically valuable plants. The lead compounds revealed several hydrophobic and polar contacts were demonstrated by comparing interactions. Applications: The molecular affinity of the fungicidal compound has been tested against the target pathogen as well as the host system components to understand the interaction and to draw out the functioning and the analysis. The compatibility between the molecule and the protein has been studied to decipher the effectiveness of the molecule and its effects in the system. The present results let us establish lead compounds that can be used for the development of antifungal drugs although structural activity relationship studies have to be undertaken.
Comparison of Antioxidant and Antimicrobial Activities of Unripe and Ripe Fruit Extracts of Momordica cochinchinensis Spreng ( Gac fruit )

International Journal of Pharmaceutical Sciences Review and Research Available online at www.globalresearchonline. net © Copyright protected. Unauthorised republication, reproduction, distribution, dissemination and copying of this document in whole or in part is strictly prohibited. © Copyright protected. Unauthorised republication, reproduction, distribution, 75 Sirikhwan Tinrat* *Department of Biotechnology, Faculty of Applied science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand. *Corresponding author’s E-mail: sktinrat@gmail.com
Software Development Based on Software Bus

This article describes a new idea how to improve the way of software development and the quality of software. The researches are outspreaded based on component based software engineering (CBSE). It puts forward open software bus architecture(OSBA), and discusses how to design the integrating architecture and the management model of component based OSBA.
Vision-based Action Understanding for Assistive Healthcare: A Short Review

The scarcity of trained therapist, economic imbalance, and an increasing amount of elderly people are the reasons for poor rehabilitation treatment and inadequate healthcare facilities in many countries. Vision-based rehabilitation treatment, monitoring daily living, and advanced healthcare can improve technology that allows people with an injury to practice intense movement training without taking help from a therapist daily. This technology has remarkable basic notable benefits as vision-based systems are noncontact, precise, immune to electromagnetic interference, nondestructive, and they can be used for long range and multiple target monitoring. The objective of this survey paper is devoted to exhibiting a summary of the challenges and difficulties in this domain along with some solutions. Besides, in order to guide the researchers in this field, we have discussed available sensing devices in the field of computer vision that can be used for taking data in hospitals and rehabilitation centers. We have also analyzed some benchmark datasets regarding gestures, medical activities, sports and exercise actions, 3D actions, and so on with relevant information. Moreover, this article also provides a comparison among existing research works on some benchmark datasets related to this field of research.
Latent Space Autoregression for Novelty Detection : Supplementary Materials

Architectures and hyperparameters employed for each experiment are reported in Tab. 1, in terms of the type of blocks, autoregressive layers, mini-batch size, learning rate and weight of the log-likelihood objective. All intermediate layers are Leaky ReLU activated. The objective function is optimized using Adam [2]. All hyperparameters are tuned on a held-out validation set, by minimizing the raw objective (Eq. 4 with λ = 1).
Coastal Radar “ WERA ” , a tool for hazards management

At the French coast near Brest a pair of WERA ocean radar stations are operational since 2006. The range of these systems is about 120 km with a spatial resolution of 1.5 km and a temporal resolution of 3 measurements per hour. These two shore based stations cover an ocean area of about 10,000 km. The normal purpose of these systems is to provide actual maps of ocean surface currents and significant wave height for the Vessel Traffic Services and for Oceanographic research. This paper shows how the provided ocean current and wave data are used to improve predictions of drifting objects in case of an accident. Presently, search and rescue tools are based on hydro-dynamical and atmospheric models to provide hindcast and forecast situations. Even if these oceanic numerical models are efficient to produce instantaneous maps of currents, the accuracy of derived Lagrangian trajectories is not sufficient for search and rescue purposes. Results of the SAR-DRIFT project show the significant improvement of the drift simulation, when using real-time current data provided by radar systems instead of using results from numerical models. This improved quality of the drift prediction can be very useful for Search and Rescue applications. In addition, this drift prediction can be used for the forecast of drifting oil spill or containers in case of an accident to make the management of the pollution more effective. Furthermore this tool can be used in case of oil pollution for backtracking any detected pollution to identify the origin and time of this pollution. This can help to identify the polluter.
The expression of path in three satellite-framed languages

Cross-linguistic studies of the lexicalization of motion tend to contrast satellite- with verb-framed languages (e.g. Slobin 1996; 2004; Cardini 2008; Özçalışkan & Slobin 2003; Kopecka 2004; Fargard et al. 2013, etc.) and concentrate less frequently on intra-typological analyses (but cf. e.g. Filipović 2007; Hasko 2010; Ibarretxe-Antuñano 2009; Ibarretxe-Antuñano & Hijazo-Gascón 2012). Even fewer studies contrast genetically related languages (but cf. e.g. Łozińska 2018). The main aim of this study was to establish the path-saliency cline of three satellite-framed languages: Polish, Russian, and English. The analysis was based on elicited data. The overall patterns of expressing the path of motion in the three languages were shown to be caused by their belonging to the same typological category. The differences could be attributed, to a large extent, to differences in the morphological structures and in the lexical repertoires of motion-coding expressions available to the speakers of the three languages. However, the analysis of descriptions of three specific spatial situations (i.e. vertical, boundary-crossing, and deictic relations) pointed to other factors that may influence path coding in the three languages. Thus, despite the satellite-verb character of the languages examined and the morpho-syntactic differences between them, all our participants, who were native speakers of the three languages examined, tended to code vertical relations by means of path verbs. The number of tokens of path verbs used to code this particular spatial relation was found to be higher than the number of tokens of path verbs used to code deictic or boundary-crossing motion.
Is the Quantity Theory of Money Relevant to China ?

The quantity theory of money, despite its affinity with monetarism in Western economics, has long been one of the accepted doctrines of the socialist monetary authority. The version of the quantity approach adopted is of course the classical, transactions-based, one rather than the modern, Friedmanite extension which includes considerations on interest rates, assets and wealth, and adaptive expectations, etc. An idealised scenario of using the theory in centrally planned economies (CPEs) is as follows: given the constancy of (or reliable information on) the velocity of monetary circulation (V) and the level of real output (y), the government could then automatically supply the appropriate amount of money (M) to the economy to facilitate transactions and maintain stability in the price level (P). Hence money is endogenous and passive, driven by socialist planning.
Tensile Deformation and Fracture Mode of Graphene Irradiated by Carbon Atoms

Irradiation is an important way to cut and modify graphene in engineering. But in the process of irradiation, different kinds of defects may be produced, which may affect the properties of graphene, such as the tensile deformation and fracture mode. So, to investigate the defect influence on tensile deformation and fracture mode of graphene, the present paper established the numerical model of graphene irradiated by Carbon Atoms (C), as well as the tensile model of irradiated graphene by using molecular dynamics (MD) method. Based on simulation results, tensile deformation and fracture mode of irradiated graphene were investigated. Compared with the perfect graphene, the results indicate that the tensile deformation and fracture mode of irradiated graphene is essential different from that of perfect graphene.
PUPIL TRACKING USING LOW RESOLUTION DEVICES

Pupil movement tracking enabled computer interface are highly advanced in processing immobilized human inputs. It reduces hardware cost of external input devices such as keyboards, mouse and touch. Our study uses low resolution images from a built-in or external webcam to capture the positioning of the eye while looking at computer screen. This experiment focusses on the working of a generalized system that can be modified based on user requirements to deliver different purposes. The algorithm used gives faster results in tracking the pupil than other algorithms and techniques. The challenge is to successfully detect the pupil centres and get offsets during pupil tracking. Offsets, further can be helpful in many applications like mouse pointer calibration. We are using information of eye and head positioning that produces the probability estimates of eye positions.
The Human Facial Combined Expression Recognition System

The human beings have not only rational thinking and logic reasoning ability, but also perceptual thinking and emotions. In the aim of the natural and intelligent human machine communication, it is essential to make it possible that the computer can understand and express the emotions. This paper summarizes the study in the psychology field and the former work and proposes the combined expression recognition system based on the analysis of the dynamic expression image sequences. The face is taken as being composed of several primary expression regions, in which the motion features can be extracted and constituted to eigen sequences. The analysis of the arbitrary length of image sequences of facial expressions and combined expression recognition are proposed and implemented by analyzing the respective expression meaning and the expression contents of different primary regions and using the multi feature fusion.
Benchmarking a non-relational database in a wireless environment

Non-relational databases are specially designed mainly for cloud environments, which there are normally millions users accessing the data center. This project aims to developed a middleware to connect mobile phones to a HBase center. The role of the middleware is to facilitate access to a data center, and receive instructions from mobile users and then manipulate the non-relational databases. The MiddleWare ran in a cluster. The research focused on developing job scheduling and resource (compute, memory, bandwidth) allocation algorithm, which take into consideration the data requirements of the applications, the inter-dependencies between sub-tasks, the network topology and real-time QoS.
PRELIMINARY TEST RESULTS OF A PROTOTYPE FAST KICKER FOR APS

The APS multi-bend achromatic (MBA) upgrade storage ring plans to support two bunch fill patterns: a 48-bunch and a 324-bunch. A “swap out” injection scheme is required. In order to provide the required kick to injected beam, to minimize the beam loss and residual oscillation of injected beam, and to minimize the perturbation to stored beam during injection, the rise, fall, and flat-top parts of the kicker pulse must be within a 16.9-ns interval. Stripline-type kickers are chosen for both injection and extraction. We developed a prototype kicker that supports a ±15kV differential pulse voltage. We performed high voltage discharge, TDR measurement, high voltage pulse test and beam test of the kicker. We report the final design of the fast kicker and the test results. INTRODUCTION A prototype stripline kicker was developed for the APS MBA upgrade storage ring. Its design was reported in IPAC15 [1]. Further optimization of the kicker model was performed. Fabrication of the kicker and feedthroughs started February of 2016. The kicker was delivered recently. We performed a series of tests of the kicker. We report the final design of the kicker and the test results. Figure 1: Geometry of the stripline kicker 2-D model. With these parameters: a=7.8 mm, b=7.14 mm, α = 43.83°, a0= 2.87mm, a00=15.91 mm, b0=14.54 mm, blade thickness=3.0 mm. FINAL KICKER GEOMETRY CST Microwave Studio [2] was employed in the optimization simulation of the kicker and feedthrough. We used its frequency domain solver to perform 3D impedance and field simulation, and optimization of the matching of the interface between the feedthroughs and the kicker blades. We also use its time-domain tool to evaluate the impedance of a Gaussian beam bunch. CST MW studio has TDR simulation. We compared its results with TDR measurement of the kicker [3]. A final geometry was selected. Figure 1 shows the main cross-section of the final geometry and its parameters. Figure 2 shows a 3D model of the kicker. Figure 2: A plot of the kicker design model.
Applying Melody-Morphing Method to Composition

We describe the application of a melody-morphing method based on the generative theory of tonal music to composition. The melody morphing method uses mathematical operations to generate an intermediate melody between one melody and another. Although we have been evaluating the basic performance of the method, we have not previously used it for music production. Therefore, we conducted an experiment with a musicologist who understood the melody morphing method and attempted to use it for composition. When a melody generated with the method was unnatural, the musicologist added notes to correct it. The experimental results showed that 78.5% of the notes in the composed pieces were generated with the melody morphing method, while the remaining 21.5% was added by the musicologist.
THE IMPACTS OF FALSE ALARMS AND MISSES ON TRUST AND PERFORMANCE

Semi-autonomous vehicles are intended to give drivers multitasking flexibility and to improve driving safety. Yet, drivers have to trust the vehicle’s autonomy to fully leverage the vehicle’s capability. Prior research on driver’s trust in a vehicle’s autonomy has normally assumed that the autonomy was without error. Unfortunately, this may be at times an unrealistic assumption. To address this shortcoming, we seek to examine the impacts of automation errors on the relationship between drivers’ trust in automation and their performance on a nondriving secondary task. More specifically, we plan to investigate false alarms and misses in both low and high risk conditions. To accomplish this, we plan to utilize a 2 (risk conditions) × 4 (alarm conditions) mixed design. The findings of this study are intended to inform Autonomous Driving Systems (ADS) designers by permitting them to appropriately tune the sensitivity of alert systems by understanding the impacts of error type and varying risk conditions. Citation: H. Zhao, H. Azevedo-Sa, C. Esterwood, X. J. Yang, L. Robert, D. Tilbury, “Error Type, Risk, Performance, and Trust: Investigating the Different Impacts of false alarms and misses on Trust and Performance”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 13-15, 2019.