nils-herrmann/clean_scirepeval huggingface dataset:
The Process of Cursing in Ancient Egypt

The theme of ancient Egyptian curses is one which attracts the public's attention via numerous mainstream films and novels. However, relatively few scholarly publications examine this subject in depth, usually dealing with curses and cursing to varying extents, and usually in relation to a wider context. Although numerous such publications have been consulted,1 only two consider Egyptian curses as their main topic and so are presented here: Morschauser, S. (1991) Threat Formulae in Ancient Egypt: a Study of the History, Structure and Use of Threats and Curses in Ancient Egypt, Baltimore: Halgo and Nordh, K. (1996) Aspects of Ancient Egyptian Curses and Blessings: Conceptual Background and Transmission,  The study of Greek curses, such as Eidinow, E. (2009) Oracles, Curses and Risks among the Ancient Greeks,
Student's Second Language Grade May Depend on Classroom Listening Position
Venue: PloS one

The purpose of this experiment was to explore whether listening positions (close or distant location from the sound source) in the classroom, and classroom reverberation, influence students' score on a test for second language (L2) listening comprehension (i.e. comprehension of English in Swedish speaking participants) The listening comprehension test administered was part of a standardized national test of English used in the Swedish school system. A total of 125 high school pupils, 15 years old, participated. Listening position was manipulated within subjects, classroom reverberation between subjects. The results showed that L2 listening comprehension decreased as distance from the sound source increased. The effect of reverberation was qualified by the participants' baseline L2 proficiency. A shorter reverberation was beneficial to participants with high L2 proficiency, while the opposite pattern was found among the participants with low L2 proficiency. The results indicate that listening comprehension scores and hence students' grade in English may depend on students' classroom listening position.
An Investigation of the Interdependence between Writing in Persian as L1 and English as L2 on Female Intermediate Students: Language Problem or Writing Problem

English is the leading foreign language enjoying a prestigious position in many countries, including Iran. Many Iranian learners start learning English from first grade of junior high school; some other people send their children to English institutes as early as primary school or even pre school, yet the problem is that most of them have problems in obtaining the satisfactory level of proficiency either in receptive skills (Listening and Reading) or productive skills (Speaking and Writing) or in both. Among the four skills, writing is of great importance. Hence, the current study examined the interdependence between writing in Persian (L1) and English (L2) For this purpose, 30 Iranian EFL learners majoring in English Translation at Islamic Azad University of Qaemshahr were selected. First of all, a TOEFL test was used to homogenize the learners. Then, the participants were asked to write English and Persian compositions on the same topic in narrative, descriptive and expository genres in two separate sessions, first L2 compositions then L1 composition after a two week delay. These writings were scored according to the ESL Composition Profile (Jacobs et al. 1981) by two scorers for each language. Using Pearson product moment correlation, the correlation between L2 proficiency and L1 writing to L2 writing was examined. The outcomes displayed large correlations between L2 proficiency and L2 writing but no correlation between L1 writing and L2 writing. The findings entail some pedagogical implications for improving EFL learners' L2 writing ability through getting more knowledge in English rather than focusing on Persian writing.
Situated Analytics: Demonstrating immersive analytical tools with Augmented Reality
Venue: J. Vis. Lang. Comput.

This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's physical environment. Situated Analytics presents both situated and abstract summary and contextual information to a user. We conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated Analytics prototype over the manual method, and that tasks were performed more quickly and accurately using the prototype.
Fundamentals of Wearable Computers and Augmented Reality, Second Edition
Venue: PRESENCE: Teleoperators and Virtual Environments

The best ebooks about Fundamentals Of Wearable Computers And Augmented Reality Second Edition that you can get for free here by download this Fundamentals Of Wearable Computers And Augmented Reality Second Edition and save to your desktop. This ebooks is under topic such as fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality fundamentals of wearable computers and augmented reality 11 location based mixed and augmented reality storytelling fundamentals of wearable computers and augmented reality forum book review mit press journals the vietnam war revised 2nd edition ebook slangsurfing dicom to 3d holograms: use case for augmented reality in pensees de j j rousseau citoyen de geneve v1 2 1785 ebook click here to access this book free download amendment xivequal protection constitutional amendments solutions manual to fundamentals of engineering document about distant mirrors america as a foreign regeneration of peasants slangsurfing the cell ebook esmajorelojes il buddhismo contemporaneo italian edition ebook slanggeek proceedings of a court of inquiryconvened at the navy answer coming soonmore blog postings on arts letters the travel and tropical medicine manual 4e ebook fundamentals of sql server 2012 replication
Augmented Reality: Designing Immersive Experiences that Maximize Consumer Engagement

Innovative marketers can now leverage augmented reality to craft immersive brand experiences, create more interactive advertising, and enable consumers to experience products and spaces in novel ways. Augmented reality (AR) is the practice of displaying digital information over people's real time view of objects, people, or spaces in the physical world. While AR can play a valuable role in integrated marketing programs, little is known about the practice and how to execute effective AR programs in the marketplace. We address this gap by presenting a framework that describes the active and passive ingredients of augmented reality. We then describe the basic design decisions that marketers need to make when planning an augmented reality campaign. In addition, we explain how understanding and addressing the dynamics between various active and passive AR ingredients can help marketers to optimize their AR campaigns and enhance various types of consumer engagement: user brand engagement, user user engagement, and user bystander engagement. Through our framework and analysis, we develop eight actionable recommendations described with the acronym ENTANGLE marketing managers can use to design immersive AR experiences that maximize consumer engagement.
Performance Modeling and Analysis of the IEEE 802.11p EDCA Mechanism for VANET
Venue: IEEE Transactions on Vehicular Technology

This paper studies performance modeling of the IEEE 802.11p enhanced distributed channel access (EDCA) mechanism and develops performance models to analyze the access performance of the IEEE 802.11p EDCA mechanism. A 2 D Markov chain is first constructed to model the backoff procedure of an access category (AC) queue and establish a relationship between the transmission probability and collision probability of the AC queue. Then, a 1 D discrete time Markov chain is constructed to model the contention period of an AC queue and establish another relationship between the transmission probability and collision probability of the AC queue. Unlike most existing work, the 1 D Markov chain is extended to be infinite in modeling the contention period of an AC queue under both saturated and nonsaturated conditions. The two Markov models take into account all major factors that could affect the access performance of the IEEE 802.11p EDCA mechanism, including the saturation condition, standard parameters, backoff counter freezing, and internal collision. Based on the two Markov models, performance models are further derived to describe the relationships between the parameters of an AC queue and the access performance of the AC queue in terms of the transmission probability, collision probability, normalized throughput, and average access delay, respectively. The effectiveness of the performance models are verified through simulation results.
C 20 T carbon: a novel superhard sp (3) carbon allotrope with large cavities.
Venue: Journal of physics. Condensed matter an Institute of Physics journal

Through first principles calculations, we predict a new superhard carbon allotrope named C 20 T, which possesses a cubic T symmetry with space group No.198(P213) This new carbon allotrope has an all sp (3) hybridized bonding network with 20 atoms in its primitive unit cell. The dynamic, mechanical, and thermal stabilities of this new carbon phase at zero pressure are confirmed by using a variety of state of the art theoretical calculations. Interestingly, despite the fact that C 20 T carbon has a porous structure with large cavities, our calculations identify its superhard properties with the Vickers hardness of 72.76 Gpa. The ideal tensile and shear strength of C 20 T carbon are calculated to be 71.1 and 55.2 GPa respectively, comparable to that of c BN. Electronic band calculations reveal that this new carbon allotrope is a transparent insulator with an indirect band gap of 5.44 eV. These results broaden our understanding of superhard carbon allotropes.
PENERAPAN PENDEKATAN CONTEXTUAL TEACHING AND LEARNING (CTL) DENGAN SETTING MODEL LEARNING TOGETHER (LT) PADA POKOK BAHASAN BANGUN RUANG SISI DATAR

Berdasarkan kenyataan di lapangan yaitu sekolah masih banyak guru matematika yang menggunakan model pengajaran langsung dimana proses pembelajaran cenderung berpusat pada guru sehingga menyebabkan siswa sulit untuk berpartisipasi aktif dalam memahami pelajaran. Sementara itu, ada kecenderungan dewasa ini untuk kembali pada pemikiran bahwa anak akan belajar lebih baik jika lingkungan diciptakan alamiah. Belajar akan lebih bermakna jika anak "mengalami" apa yang dipelajarinya, bukan "mengetahui" Pelajaran yang berorientasi pada target penguasaan materi terbukti berhasil dalam kompetisi "mengingat" jangka pendek, tetapi gagal dalam membekali anak memecahkan persoalan dalam kehidupan jangka panjang. Oleh karena itu, seorang pendidik membutuhkan suatu keterampilan dalam menggunakan variasi antara model pembelajaran dan pendekatan pembelajaran. Salah satu cara sebagai upaya untuk mengatasi masalah tersebut salah satunya dengan menggunakan penerapan pendekatan Contextual Teaching and Learning (CTL) dengan setting model Learning Together (LT) Tujuan penelitian ini untuk mengetahui bagaimana aktifitas siswa, respon siswa, dan ketuntasan belajar siswa dalam penerapan pendekatan Contextual Teaching and Learning (CTL) dengan setting model Learning Together (LT) pada pokok bahasan bangun ruang sisi datar. Peneliti mengumpulkan data melalui observasi aktivitas siswa, angket dan Tes. Kemudian data yang terkumpul dianalisis. Hasil analisis menunjukkan bahwa aktivitas belajar siswa termasuk kategori baik, respon siswa sebesar 75, 38% yang tergolong kategori positif dan ketuntasan belajar siswa secara klasikal sebesar 88,46% yang terdiri dari tiga orang yang belum tuntas. Penulis menyimpulkan bahwa pendekatan Contextual Teaching and Learning (CTL) dengan setting model Learning Together (LT) pada pokok bahasan bangun ruang sisi datar dapat dikatakan baik untuk diterapkan.
Availability and Utilization of Pigments from Microalgae
Venue: Critical reviews in food science and nutrition

Microalgae are the major photosynthesizers on earth and produce important pigments that include chlorophyll a, b and c, b carotene, astaxanthin, xanthophylls, and phycobiliproteins. Presently, synthetic colorants are used in food, cosmetic, nutraceutical, and pharmaceutical industries. However, due to problems associated with the harmful effects of synthetic colorants, exploitation of microalgal pigments as a source of natural colors becomes an attractive option. There are various factors such as nutrient availability, salinity, pH, temperature, light wavelength, and light intensity that affect pigment production in microalgae. This paper reviews the availability and characteristics of microalgal pigments, factors affecting pigment production, and the application of pigments produced from microalgae. The potential of microalgal pigments as a source of natural colors is enormous as an alternative to synthetic coloring agents, which has limited applications due to regulatory practice for health reasons.
Rosmarinic acid ameliorates hyperglycemia and insulin sensitivity in diabetic rats, potentially by modulating the expression of PEPCK and GLUT4
Venue: Drug design, development and therapy

Rosmarinic acid (RA) is a natural substance that may be useful for treating diabetes mellitus. The present study investigated the effects of RA on glucose homeostasis and insulin regulation in rats with streptozocin (STZ) induced type 1 diabetes or high fat diet (HFD) induced type 2 diabetes.  Glucose homeostasis was determined using oral glucose tolerance tests and postprandial glucose tests, and insulin activity was evaluated using insulin tolerance tests and the homeostatic model assessment for insulin resistance. Additionally, the protein expression levels of PEPCK and GLUT4 were determined using Western blot analysis.  RA administration exerted a marked hypoglycemic effect on STZ induced diabetic rats and enhanced glucose utilization and insulin sensitivity in HFD fed diabetic rats. These effects of RA were dose dependent. Meanwhile, RA administration reversed the STZ and HFD induced increase in PEPCK expression in the liver and the STZ and HFD induced decrease in GLUT4 expression in skeletal muscle.  RA reduces hyperglycemia and ameliorates insulin sensitivity by decreasing PEPCK expression and increasing GLUT4 expression.
Optimization of image description metrics using policy gradient methods
Venue: ArXiv

In this paper, we propose a novel training procedure for image captioning models based on policy gradient methods. This allows us to directly optimize for the metrics of interest, rather than just maximizing likelihood of human generated captions. We show that by optimizing for standard metrics such as BLEU, CIDEr, METEOR and ROUGE, we can develop a system that improve on the metrics and ranks first on the MSCOCO image captioning leader board, even though our CNN RNN model is much simpler than state of the art models. We further show that by also optimizing for the recently introduced SPICE metric, which measures semantic quality of captions, we can produce a system that significantly outperforms other methods as measured by human evaluation. Finally, we show how we can leverage extra sources of information, such as pre trained image tagging models, to further improve quality.
Bottom up Approach of Modeling Human Decision Making for Building Intelligent Agents

Cognitive modeling of decision making with reference to the cognitive architectures and base theories is an ideal approach for building intelligent agents. This work is to conceptualize the modeling process as a bottom up approach to build cognitive agents.  Among the existing cognitive architectures, four system level architectures which are in similar nature are being sampled and different factors affecting the decision making scenarios reflected in the architectures are closely reviewed. Base theories of human cognition are also adopted for the chosen architectures to strengthen the modeling process.  LIDA and CLARION are the two cognitive architectures found similar in symbolic and connectionist nature and are open architectures for modeling cognitive processes like high level decision making. The cognitive base theories are found suitable for modeling decision making with these architectures. On this way modeling process is to be done in a bottom up fashion to build intelligent agents.  The two analogous approaches with LIDA and CLARION will provide number of cognitive models of decision making. On implementation of these different models, diversified agents can be generated and their performance will be studied empirically.
Subject Know Thyself? Comparing Self Reported and Observed Emotions and Their Influence on Political Attitudes

Do subjects' self reports of emotion correspond to observable evidence of emotion when subjects are exposed to complex emotional stimuli such as video news reports? We explore the answer to this question with a pilot study that uses software that machine codes facial expressions of subjects to detect discrete emotions. Subjects were randomized to receive a positive, situationally framed news story about drone warfare or a negative episodically framed news story about drone warfare followed by a series of standard emotion self report questions. The data produced by automated facial action coding permits a set of nuanced tests to link the ordering complex stimuli to self reports of emotion and to subsequent opinions about drone warfare. We find evidence that self reports and observed emotions are weakly related and observed emotion predicts attitudes about drone warfare independent of self reports. This suggests that self reports, while useful, do not capture the full extent of emotional experiences that shape political attitudes.
The detection of Pb2+ in solution using bare magnetoelastic resonator

In this paper, a simple and low cost method for determination of Pb2+ in solution, using bare Metglas alloy 2826MB as the resonator, is reported. Based on the replacement reaction mechanism of the Pb2+ in the solution with Fe and Ni in the Metglas 2826MB ribbon surface, the Pb replaced on the resonator can increase the mass load of the resonator and decrease the resonant frequency of the resonator. Hence, the Pb2+ concentration in solution can be determined by the resonant frequency shift of the ME resonator. The Energy Dispersive Spectrometer results of Pb, Fe, and Ni contents on the resonator's surface prove the reliability of this method. Furthermore, the experimental results show that the resonant frequency shift rate of the resonator decreases when the Pb2+ concentration declines. The sensitivity of the resonator for Pb2+ detection is greatly related to its dimension. The resonator with smaller size has a better sensitivity. The resonant frequency shift of the resonator with dimension of 3 mm x 6 mm
Detection of Pb2+ in Aqueous Solution by Using a DNA modified Microcantilever.
Venue: Analytical sciences the international journal of the Japan Society for Analytical Chemistry

We developed a novel Pb2+ sensor based on a microcantilever that was modified with a specific Pb2+ dependent DNAzyme molecule. This microcantilever sensor could detect Pb2+ sensitively and selectively in an aqueous solution. Upon complexation with Pb2+ the DNAzyme duplex unwinded and formed a G quadruplex conformation, which led to an increase of repulsion between the DNAzyme molecules and a subsequent bending of the microcantilever. This microcantilever sensor could be regenerated, flowing through a strong Pb2+ chelator, 1,4,7,10 tetraazacyclododecane 1,4,7,10 tetraacetic acid. The detection limit of the microcantilever sensor for Pb2+ ions is as low as 10 8 M. The microcantilever sensor also exhibited a high selectivity to Pb2+ over other metal ions such as Mg2+ Fe3+ Zn2+ Ca2+ and Cd2+
How does railroad track closure affect housing values? The case of Seoul, Korea
Venue: Spatial Information Research

In December 2010, a 6.3 km track segment of the railroad that connects Seoul with Chuncheon was removed because an alternative railroad route was built to accommodate a new faster train. This railroad track segment had long been believed to reduce local housing values because of its disamenities such as noise, shaking, safety problems, and visual intrusion. In this study, we investigate the impact of this railroad track closure on local housing values in Seoul's housing market. The results from our analysis show that the railroad closure actually increased local housing values. However, even 40 months after the closure, a negative price effect remained because of the sustained stigma of the areas. This study is one of the first to verify the conjecture that ground level railroad closure actually increases local housing values. Many local governments in the Seoul metropolitan area suggest that converting ground level railroad tracks into underground railroad tracks is necessary to eliminate disamenities. From the standpoint of the economic benefit valuation of this conversion project, the results from this study can be used to measure the economic benefit in terms of increased local housing prices more accurately. However, the finding that the negative effect sustained even after the closure indicates that it is hard to remove the negative perceptions of former railroad crossing areas.
A fuel efficient control strategy for connected vehicles in multiple lane urban roads
Venue: 2016 IEEE 55th Conference on Decision and Control (CDC)

Advances in wireless communication allow enabling information exchange among connected vehicles, so that decision and control strategies can be improved with the aid of additional information within the vehicular system. In this paper, we present a fuel efficient control strategy for a group of connected vehicles passing several traffic lights in multiple lane urban roads. Signal Phase and Timing (SPAT) information, lane changing decision and model predictive control are exploited to reduce stopping at red lights and improve the fuel economy. The major contribution of this work is to enable connected vehicles lane changing in multiple lane roads. The simulation results indicate the group performance improvement for our proposed method.
Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads

This paper presents a fuel efficient control strategy for a group of connected hybrid electric vehicles (HEVs) in urban road conditions. A hierarchical control architecture is proposed in this paper for every HEV, where the higher level and the lower level controller share information with each other and solve two different problems that aim at improving its fuel efficiency. The higher level controller of each HEV is considered to utilize traffic light information, through vehicle to infrastructure (V2I) communication, and state information of the vehicles in its near neighborhood, via vehicle to vehicle (V2V) communication. Apart from that, the higher level controller of each HEV uses the recuperation information from the lower level controller and provides it the optimal velocity profile by solving its problem in a model predictive control framework. Each lower level controller uses adaptive equivalent consumption minimization strategy (ECMS) for following their velocity profiles, obtained from the higher level controller, in a fuel efficient manner. In this paper, the vehicles are modeled in Autonomie software and the simulation results are provided in the paper that shows the effectiveness of the proposed control architecture.