Reviewerly/exHarmony huggingface dataset:
Constraining of strain ellipsoid shape from sectional data in the Au bearing shear zone west of Iran

Ductile shear zone recorded valuable data about the progressive deformation and geodynamic setting of the earth crust.Analysis of the strain ratio on the deformed quartz grains in the samples of the Zagros orogenic shear zone indicated generally most of the strain ellipsoids shape are prolate and developed under constructional strain regime.Principal axes of the strain ellipticity ratio varied in the range between 2.04 to 3.12, shear strain magnitude analysis indicated ε s are between 0.6 to 1.3.Strain ellipsoid shape also revealed the propagation of the shear zone could not be coeval with the continental collision because in the collision region expected the ellipsoid shape to be oblate.Flattening strain regime in the Zagros Orogeny contemporaneous with the collisional event (D1 phase) and widespread in the Sanandaj-Sirjan Metamorphic Zone.Constructional conditions and prolate strain ellipsoid could be related to the post-collisional deformation phase (D2 phase).In this event stretching and shearing localized in the ductile shear zone and transtension structures superimposed on the former transpression structures.The deformation followed by third phase and brittle event (D3 phase) and caused to the propagation of veins.These veins somewhere cut the foliation and in the other place are parallel to foliation plane.
Towards the Essence of Cinematic VR: Embracing New Technologies to Define a Medium

Heim is concerned with the essence of Virtual Reality; the meaning behind the technology. These philosophical questions are not new. Heidegger, McLuhan and Heim are all influential in bringing together ideas about experience and technology that can be applied in a new way to immersive media. Coyne (1995) later brought the thinking together drawing on Heim’s idea that new realities and worlds would unfold within virtual reality. He urged us to take a Heideggerian approach that would value the technology in a new way, not bound or limited by previous constraints of what it is. As Heidegger explored the relationship with technology to be one that when experienced is able to freely develop to discover a true sense of meaning, McLuhan argued that the meaning can be found in the characteristics of the medium, not simply by the content (1964). This work is situated at the intersection between these philosophical approaches, media and technology to define a new genre of immersive media. It provides an introduction to the essence of immersive media, one where cinematic VR is no longer classed within film studies. Through an analysis of experiences that have been cited as defining the medium and pushing the boundaries of what is expected, new approaches are defined. Through a playful, experimentation approach, lessons in creating are documented to inform future forms of immersive experiences. This is no longer rooted in any one practice but, as Pimentel and Teixeira noted, merging all forms into VR, through simulation and stimulation, it’s the “emergence of a new holistic art experience of the mind” (1993:240).
Cultural Heritage Objects in Education by Virtual and Augmented Reality

In this paper, we focus on the use of cultural heritage objects (historical, natural and technical) in the education process. We create universal content that can be used in education in schools, but also at home with the use of virtual and augmented reality. We discuss the potential of the VR and AR tools for better memorising of the information based on the virtual objects and scenes. We describe the selection of individual objects in order to be able to communicate information about individual objects in pairs across the Slovak-Ukrainian border and to use them appropriately on the tools created in the InovEduc project to improve the education at secondary schools on subjects like history, geography, religion, regional education, civics and languages. We also focus on creating content so that it can be used in other areas such as tourism, museums and other cultural institutions.
Dipole-Dipole Non-Radiative Energy Transfer Mediated by Surface Plasmons on a Metallic Interface

We have investigated the surface plasmon-mediated energy transfer between two optically active ions in vacuum near a metallic surface using methods of molecular quantum electrodynamics. We have studied the electric dipole-electric dipole energy transfer process only, this being the most dominant mechanism in interionic interaction between two ions in a medium when their wavefunctions do not significantly overlap. The matrix elements for energy transfer, hence energy transfer rates, are calculated using two classes of Feynman diagrams. The intermediate states for one class of diagrams do not satisfy the energy conservation principle, hence they are purely virtual states. Of particular interest are the dependencies of the energy transfer process on (1) the relative positions of the ions with respect to one another projected onto the interface and (2) the distance of each ion from the metal surface. The overall energy transfer process has been found to have both the short range and long-range components, the former being driven by virtual plasmons and the latter by the real plasmons in a non-lossy medium.
Full-spectrum denoising of high-SNR hyperspectral images

The high spectral redundancy of hyper/ultraspectral Earth-observation satellite imaging raises three challenges: (a) to design accurate noise estimation methods, (b) to denoise images with very high signal-to-noise ratio (SNR), and (c) to secure unbiased denoising. We solve (a) by a new noise estimation, (b) by a novel Bayesian algorithm exploiting spectral redundancy and spectral clustering, and (c) by accurate measurements of the interchannel correlation after denoising. We demonstrate the effectiveness of our method on two ultraspectral Earth imagers, IASI and IASI-NG, one flying and the other in project, and sketch the major resolution gain of future instruments entailed by such unbiased denoising.
Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements

Metaphors are commonly used in interface design within Human-Computer Interaction (HCI). Interface metaphors provide users with a way to interact with the computer that resembles a known activity, giving instantaneous knowledge or intuition about how the interaction works. A widely used one in Digital Musical Instruments (DMIs) is the conductor-orchestra metaphor, where the orchestra is considered as an instrument controlled by the movements of the conductor. We propose a DMI based on the conductor metaphor that allows to control tempo and dynamics and adapts its mapping specifically for each user by observing spontaneous conducting movements (i.e. movements performed on top of fixed music without any instructions). We refer to this as mapping by observation given that, even though the system is trained specifically for each user, this training is not done explicitly and consciously by the user. More specifically, the system adapts its mapping based on the tendency of the user to anticipate or fall behind the beat and observing the Motion Capture descriptors that best correlate to loudness during spontaneous conducting. We evaluate the proposed system in an experiment with twenty four (24) participants where we compare it with a baseline that does not perform this user-specific adaptation. The comparison is done in a context where the user does not receive instructions and, instead, is allowed to discover by playing. We evaluate objective and subjective measures from tasks where participants have to make the orchestra play at different loudness levels or in synchrony with a metronome. Results of the experiment prove that the usability of the system that automatically learns its mapping from spontaneous movements is better both in terms of providing a more intuitive control over loudness and a more precise control over beat timing. Interestingly, the results also show a strong correlation between measures taken from the data used for training and the improvement introduced by the adapting system. This indicates that it is possible to estimate in advance how useful the observation of spontaneous movements is to build user-specific adaptations. This opens interesting directions for creating more intuitive and expressive DMIs, particularly in public installations.
Bayesian analysis of latent Markov models with non-ignorable missing data

Latent Markov models (LMMs) are widely used in the analysis of heterogeneous longitudinal data. However, most existing LMMs are developed in fully observed data without missing entries. The main objective of this study is to develop a Bayesian approach for analyzing the LMMs with non-ignorable missing data. Bayesian methods for estimation and model comparison are discussed. The empirical performance of the proposed methodology is evaluated through simulation studies. An application to a data set derived from National Longitudinal Survey of Youth 1997 is presented.
An improvement of visual perception of single image by fusion of DCP with patch processing

Scattering of atmospheric particles in hazy or foggy weather conditions is the primary reason for the degradation of images. Though a level of saturation has been obtained in the improvement of restoration model to overcome the visual vividness those termed as a dehazing method, there still remains a void while restoring of the digital image. We, in this paper, have proposed a novel and efficient haze removal algorithm by considering an efficient prior knowledge like DCP in order to eliminate haze and, restore albedo by combined with diffusion patch process after soft mating to enhance again for better clarity and accuracy of a hazy input image. In this research analysis, we critically examined popular Dark Channel Prior haze resisting removals algorithm such as Fattal, He, Tan and Tarel with our proposed novel haze removal model, The image quality assessment such as qualitative and quantitative index of the de-hazed image is concerned with estimating the parameters such as RSME, PSNR, SSIM, FSIM, and FSIMc are also reported for measuring precise accuracy of our proposed methodology as compared to the existing one. This novel method found to be distinctive and ensures efficient production of a high-quality haze-free image.
Asymptotically Near-Optimal Methods for Kinodynamic Planning With Initial State Uncertainty

This letter focuses on the problem of planning robust trajectories for system with initial state uncertainty. While asymptotically-optimal methods have been proposed for many motion planning applications, there is no prior method which is able to guarantee asymptotic (near-)optimality for planning with initial state uncertainty with non-trivial dynamics and no steering function. In this letter, we define a cost function to evaluate state divergence for kinodynamic planning. We prove properties of this function, our system dynamics, and our planners, which allow asymptotically near-optimal planning without a steering function. We then evaluate our two proposed planners, one that uses random restarts, and another that encourages sparsity, in several experiments. Our results suggest that we are able to improve both the trajectory and end state divergence by about half as compared to a previous method, which is not asymptotically near-optimal.
An Encrypted Database with Enforced Access Control and Blockchain Validation

Data privacy and integrity is top of mind for modern data applications. To tackle with the above issue, we propose an encrypted database system with access control capabilities and blockchain validation in this paper. Compared to the existing encrypted database system, our design proposes a proxy-free architecture, which avoids the need for a trusted proxy for access control. In order to protect the integrity of user data, our system leverages the blockchain technology to realize a tampering protection mechanism. The mechanism ensures that modification logging is compulsory and public-available but hardened. Users can validate and easily detect the tampered data. Finally, we implement a prototype system and conduct evaluations on each component of the proposed system.
Does the Presence of Foreign Firms Reduce Domestic Firms’ Financial Constraints in Sub-Saharan Africa?†

Abstract Firms in the SSAs (sub-Saharan African countries for short) face severe financial constraints. Because financial markets in the SSAs are underdeveloped, policymakers have sought after the establishment of foreign-owned firms in their countries to help, among others, alleviate the financial constraints faced by domestic firms. However, there is no empirical evidence that speaks to the association between foreign firm presence and domestic firms’ financial constraint. Using firm-level data spanning across 36 SSAs from the World Bank Enterprise Survey, we show that the increase in foreign firm presence can ease the financial constraints of domestic firms in the SSAs. One reason is that foreign-owned firms are not only less financially constrained, they are also less likely to apply for bank loans. Therefore, an increase in foreign firm presence may reduce the competition for loans and ease the financial constraints of domestic firms by improving their borrowing success.
Semantics for Data in Agriculture: A Community-Based Wish List

The paper reports on activities carried within the Agrisemantics Working Group of the Research Data Alliance (RDA). The group investigated on what are the current problems research and practitioners experience in their work with semantic resources for agricultural data and elaborated the list of requirements that are the object of this paper. The main findings include the need to broaden the usability of tools so as to make them useful and available to the variety of profiles usually involved in working with semantics resources; the need to online platform to lift users from the burden of local installation; and the need for services that can be integrated in workflows. We further analyze requirements concerning the tools and services and provide details about the process followed to gather evidence from the community.
Conceptualizing cyber policy through complexity theory

Complexity is a consistent feature of cyberspace. It is resident within the technical, logical and human layers across which socio-technical structures leverage cyberspace. Yet the development of policy often approaches the complex nature of cyberspace through reductionism. This paper argues, using two case examples from cryptography that to develop good policies and laws for cyberspace requires an embrace of a new theoretical framework, that is, complexity theory.
Prediction of Engineering Settlement and Deformation Based on Grey Theory Model

Research purposes: the traditional methods of building deformation data processing were based on regression statistical analysis and time series analysis etc. These prediction methods need larger prediction sample data. Relatively large amounts of errors were caused by a small amount of data. Research methods and procedures: the paper uses the grey theory in operational research to solve these problems. The grey theory model only needs less sample observation data to predict the characteristics and the catastrophic & abnormal values. Prediction model of vertical displacement (settlement) deformation is established based on GM (1, 1) model. Compare the errors between the model value and the measured value and form fitting graphs of monitoring points. Research conclusion: the application results show that the grey theory model is suitable for data processing and prediction analysis of engineering building settlement and obtain the high prediction accuracy.
Fault Testing a Synthesizable Embedded Processor at Gate Level using UltraScale FPGA Emulation

While several applications exist to fault-test software at the abstract level, gate-level fault testing has traditionally been limited to injecting faults into small, dedicated circuits, due the computational time required for gate-level simulations and the logic resources (LUTs and registers) required for FPGA emulation. In our work, we leverage the extensive resources of the Ultrascale and Ultrascale+ platforms to systematically test faults on all gate-level inputs of an ASIC or FPGA implementation of an embedded processor running a user application. Using a configurable, synthesizable saboteur circuit connected using a scan chain and controlled with a state machine, we tested four different types of faults on each logic gate of the LEON3 CPU running an AES 256 application. The entire process took just under two hours, a 7200X speedup from gate-level simulation. Though neither the hardware nor software employed fault mitigation techniques, we were surprised to discover multiple stuck-at-0, stuck-at-1, and delay faults that resulted in total or partial key and plaintext leakage through the communications serial port. Overall, we identified 22 unique faulty behaviors, four of which involve some form of crypto or memory leakage. These occurred in roughly the same proportions in ASIC and FPGA netlists of the LEON3, suggesting robustness of the analysis to different implementations. Of the four static fault types tested, delay faults were the most effective at uncovering behaviors of concern.
Secure and flexible economic data sharing protocol based on ID-based dynamic exclusive broadcast encryption in economic system

Sharing economic data is paramount for improving quality and developing more efficient ways to produce statistics, and making better economic decisions. The economic data is of great importance to the corporations and governments, and they must be protected against the outsiders. Unfortunately, in an economic administration system, a few users may be malicious, or they are at high risk to leak information to the outsiders. Therefore, the economic data must also be protected against these users. The traditional broadcast encryption can provide protected data sharing among honest users. However, it is not efficient when most of the users are honest, and only a small amount of users are malicious. The traditional method is not cost effective, and does not fit to the situation where the set of malicious users dynamically changes either. Meanwhile, in traditional broadcast encryption, the authorized users’ identities need to be sent with the ciphertext. The valid users’ anonymity is not provided. To solve these problems, in this work, we present a novel cryptographic primitive, i.e. ID-based Dynamic Exclusive Broadcast Encryption (IBDEBE), and based on a hybrid framework (the combination of the exponent-inversion framework and the commutative-blinding framework) we propose an IBDEBE scheme with constant-size private keys and ciphertexts. The IBDEBE scheme is proved to be semi-adaptively semantically secure in the random oracle model. By applying the IBDEBE scheme, a secure economic data sharing protocol is devised, which is efficient and flexible in dynamic honest user groups, and it provides good security properties, i.e. source authenticity, data integrity protection, data access control, resistance to collusion attack and anonymity. We evaluate the performance of our solution with experiments and the results show good computation efficiency.
Implementation of Just in Time Teaching methodology in mathematics and natural sciences study in high school institutions of Colombia northeast

The notably undergraduate student desertion in higher education is considered one of the main difficulties in worldwide education systems. The main factors associated with this phenomenon in Colombia are related to low academic entrance skills, economic problems of students and aspects related to socio-occupational orientation and adaptation to the university environment. At Universidad Industrial de Santander an initiative has emerged since the beginning of 2017 that seeks to strengthen the entrance skills to higher education of high school students in Colombia northeast, through "Spachovsky project" that intervenes in the teaching and learning processes of three subjects: mathematics, physics and chemistry of tenth and eleventh grade, through an active learning strategy implementation: Just-in-Time Teaching whose essence is the students' previous class preparation, through questionnaires and didactic material in a web platform, which has a positive effect on what happens during the time subsequent to it with an appropriate teacher's mediation. The contents are managed through virtual tools such as: links to digital books and teaching videos through Moodle platform, which together with session preparation questionnaires, and appropriate mediation by the teacher will favor study habits and the autonomous learning of students.
Grey theory study on the influence of karst-pile-soil coupling on the ultimate bearing capacity of pile foundation in karst development area

There are many factors influencing the ultimate bearing capacity of pile foundation in karst development area. The current design method usually adopts a large safety factor, which inevitably leads to an increase in engineering cost and a prolonged period. Grey theory is a kind of mathematical theory based on known information. It can describe the change law of unknown information by generating and developing some known information. Based on the above characteristics, combined with numerical simulation results, the effects of aspect ratio and karst scale on the ultimate bearing capacity of bridge piles are studied by using grey theory. The results show that the ultimate bearing capacity of piles increases with the increase of aspect ratio, and decreases with the increase of karst scale. The degree of influence of karst scale is larger than that of aspect ratio. Grey theory can better reflect the variation of ultimate bearing capacity of pile foundation under aspect ratio and karst scale, and the error between calculation result and numerical simulation result is about 9%. The grey theory can be applied to the estimation of the ultimate bearing capacity of bridge piles.
Comparison of channels in operator algebras

Two quantum channels are compared in terms of their “noisiness.” The channel E is considered to be less noisy than the channel F, denoted by F≺E, if for an arbitrary ensemble of states {φ1, …, φr}, the states Eφ1,…,Eφr are more distinguishable than the states Fφ1,…,Fφr. The relation ≺ is characterized for arbitrary von Neumann algebras in arbitrary dimension.