Reviewerly/exHarmony huggingface dataset:
EXPERIMENTAL (LABORATORY) RESEARCH OF DEAD SEA SALTS (ISRAEL)

The salts taken from the western coast of Dead Sea (Israel) have been investigated with the help of XRD, SEM, LRSMA, and titrimetric methods. It was proved, that the main crystalline phase is halite. In addition, the samples contain chlorides of magnesium, calcium and potassium (the elements follow in the order of decrease of their content in mixture). Trace elements are not found.
LibGuides: CULC Referencing Software: Home

Introduction to using this Coventry University Guide to Referencing in Harvard style website
Reduction of Multiple Move Method Suggestions Using Total Call-Frequencies of Distinct Entities

Inappropriate placement of methods causes Feature Envy (FE) code smell and makes classes coupled with each other.To achieve cohesion among classes, FE code smell can be removed using automated Move Method Refactoring (MMR) suggestions.However, challenges arise when existing techniques provide multiple MMR suggestions for a single FE instance.The developers need to manually find an appropriate target classes for applying MMR as an FE instance cannot be moved to multiple classes.In this paper, a technique is proposed named MultiMMRSReducer, to reduce multiple MMR suggestions by considering the Total Call-Frequencies of Distinct Entities (TCFDE).Experimental results show that TCFDE can reduce the multiple MMR suggestions of an FE instance and performs 77.92% better than an existing approach, namely, JDeodorant.Moreover, it can ensure minimum future changes in the dependent classes of an FE instance.
Bland anonyma kvinnor, oidentifierade män och okända par : En studie om hur kön, genus och queer närvaro aktualiseras via bildkatalogiseringens praktik

The purpose of this thesis is to provide in-depth knowledge by exploring how image cataloguing provides a context for expressions related to sex, gender, and queerness through metadata and textual ...
High-Fidelity Cryogenic Photonic Link for the Readout of Superconducting Qubits

We perform readout of a superconducting qubit with microwave pulses delivered via optical fiber and a cryogenic high-speed photodetector. High coherence and readout fidelity are maintained, compatible with the stringent requirements of quantum information systems.
POLITICAL ECONOMY AND NATIONAL DEVELOPMENT: GOOD GOVERNANCE AND RESOURCE UTILITY PERSPECTIVE

The central focus of this paper is to reexamine the importance of good governance as a political instrument that could be employed to engender genuine socio-economic development in the third world countries. The fact is that, these nations continues to grapple with the ideals of democratic rule the pillar of good governance that have become symbolic price of leadership to adequately mobilize national resources of nations into national wealth for strategic development agenda like the advance democracies of the West. It is however argued that leadership in these countries are considered to have less ability and weak institutional framework to efficiently and effectively galvanize of both the human and material resources for national development; compared to their Western counterparts in the developed countries. The paper therefore submits that despite the challenges of weak institutions, insignificant global trade arising from arbitrary exchange regime, inept leadership, poor human capital development, poor policies, low-level application of science and technology etc. within them, nonetheless; leadership in these nations can do better, if they implore appropriate steps to ensuring that internal structures are well orchestrated towards the attainment of socio-economic growth and development to ameliorate the living standards of the citizenry. The drive for this is to however interrogate the linkages between democratic rule and good governance as pillars of resource utility for socio-economic growth and development. This paper attempts to historically analyze the dynamics of the appropriate mobilization of the political economy of nations to create wealth for the well-being of the citizenry.
Visualizing partitioned data in Audience Response Systems : A design-driven approach

Meetings and presentations are often monological in their nature, creating a barrier of productivity in workplaces around the world. By utilizing modern technologies such as a web-based Audience Re ...
Geologic Map of the Oro Valley 7.5' Quadrangle and the Pusch Peak area, Northeastern Pima County, Arizona, v. 3.0

The Oro Valley 7.5' Quadrangle covers an area, located approximately 25 km north of downtown Tucson, that extends over much of Oro Valley and includes parts of the adjacent Tortolita Mountains and Santa Catalina Mountains. The area was mapped during November 2001 through April 2002 as part of a multiyear mapping program directed at producing complete geologic map coverage for the Phoenix-Tucson metropolitan corridor. A 1:24,000 scale map is the primary product of this study. Previous geologic maps of the area by Banks (1976) and Dickinson (1994), and maps of adjacent areas by Banks et al. (1977), Skotnicki (2000), and Force (2002) were used to focus mapping on areas of interest, but all of the mapping shown on Plate 1 is new and was produced by the authors. The accompanying text describes rock units and other geologic features. This mapping was done under the joint State-Federal STATEMAP program, as specified in the National Geologic Mapping Act of 1992. Mapping was jointly funded by the Arizona Geological Survey and the U.S. Geological Survey under STATEMAP Program Contract #01HQAG0098. The Santa Catalina and Tortolita Mountains are part of the Catalina metamorphic core complex, an area where low- to moderate-angle normal faulting has accommodated uplift and exhumation of rocks that formerly resided in the middle crust, at depths of perhaps 5 to 15 km. The mylonitic fabrics on the south side of Pusch Ridge and locally exposed in the southeastern Tortolita Mountains are the product of deep-seated shearing during this uplift and exhumation process (e.g., Davis, 1980; Davis and Lister, 1988; Spencer and Reynolds, 1989; Dickinson, 1991; Force, 1997). Most of the rocks exposed, however, are not mylonitic and were apparently not deeply enough buried to be at temperatures sufficient for mylonitization (e.g., Banks, 1980). Approximately 5 km of displacement on the steeply west-dipping Pirate normal fault uplifted the steep west side of the Santa Catalina Mountains and down-dropped the bedrock beneath what is now Oro Valley (Budden, 1975; Dickinson, 1994).
Analysis of Passing Networks in Soccer

The study of the passing networks formed during soccer matches is an area of mathematics that has exploded within the past decade as both modern technology and new-found motivation in notable organizations have provided the public with better datasets. Through the analysis of players’ positioning and their passes throughout a match, better strategies can be devised for future games and training regiments can be altered to better prepare even the best of teams. In our research, we observed how the traditional method of using a weighted adjacency matrix referring to the number of passes between players creates a weighted directed graph, visually depicting the team’s strongest and weakest areas on the pitch. We also measured a value denoted as betweenness, which scores players according to how important they are in bridging together passes intended for other players, as well as different centrality measures that denote how important a player is during passing plays and a value known as closeness that shows how far away a player is from others on average. Studying these approaches to analyzing passing networks in matches provides worthwhile insight for organizations, coaches, and players themselves.
Visualization Laboratory at University of Notre Dame

This article introduces the Visualization Laboratory at the Department of Computer Science & Engineering, the University of Notre Dame, including the lab’s overview, current research directions, facilities, and international collaborations.
Direct Target Tracking Using Laplace Approximation

The direct tracking of a moving radio transmitter using spatially distributed receivers is considered based on delay and Doppler-shift induced signal waveforms. One key step for direct tracking is to approximate the generalized likelihood function corresponding to the largest eigenvalue of a Hermitian matrix. Although stochastic approximations can be set arbitrarily close to the optimal solution, these methods generally have high computational cost and tend to be inefficient when applied to high dimensional problems. In this paper, we develop a Laplace approximation approach for direct tracking using Taylor series expansions. The proposed method belongs to the deterministic approximation domain and therefore it is computational efficient. The simulations validate the performance of the proposed method.
Від традиційної освіти до глобальної

Education, tertiary and secondary, is facing the challenge to reinvent itself, not simply to reform. Universities and schools will have to work in the direction to integrate more hard and soft skills. “Experience education” approach is fundamental to facilitate integration of educational programs with the economy and society. The world needs more globalized education, not less. New forms of education are appearing across the world. They practice innovative approach, market (private) orientation, and internationalization. They focus on transferring concrete knowledge and empowering the young generations and the skill necessary for a successful career.
Hierarchical Joint Registration of Tissue Blocks With Soft Shape Constraints For Large-Scale Histology of The Human Brain

Large-scale 3D histology reconstruction of the human brain with MRI as volumetric reference generally requires reassembling the tissue blocks into the MRI space, prior to any further reconstruction of the histology of the individual blocks. This is a challenging registration problem, particularly in the frequent case that blockface photographs of paraffin embedded tissue are used as intermediate modality, as their contrast between white and gray matter is rather low. Here we propose a registration framework to address this problem, relying on two key components. First, blocks are simultaneously aligned to the MRI while exploiting the spatial constraints that they impose on each other, by means of a customized soft shape constraint (similarly to a jigsaw puzzle). And second, we adopt a hierarchical optimization strategy that capitalizes on our prior knowledge on the slicing and blocking procedure. Our framework is validated quantitatively on synthetic data, and qualitatively on the histology of a whole human hemisphere.
LibGuides: Teen Corner: Teen Reads Blog

Your one stop shop for teen & tween reading, volunteering, activities, and more! Book recommendations submitted by Teen Volunteers
Copyright implications of computer-generated imagery using the likeness of real people

The Universal Declaration of Human Rights article 27 shows that copyright law has two functions.‘everyone has the right freely to participate in the cultural life of the community, to enjoy the art ...
Copywriting and speechwriting (the module: Copywriting)

The objective of the discipline «Copywriting» is to provide theoretical knowledge and practical skills of creation of information materials in the field of advertising and public relations.
RESEARCH AND DEVELOPMENT (R&D) METHOD AS A MODEL DESIGN IN EDUCATIONAL RESEARCH AND ITS ALTERNATIVES

The growth of educational research as one of scientific research has come to the state where the researchers in this field make their studies to generate a model for better educational practices. One of the most outstanding model designs is Research and Development (R&D) Method by Borg & Gall (1983), nevertheless, the widely use of this method prompts a question whether it is the only proper method in educational research.  This paper is aimed to discuss in depth the R&D Method in some educational research by comparing the simplified steps and characteristics in those research. This paper also provides some alternatives of model design for educational research in which the usage and its implementation are adjusted in accordance to the research context and researchers characteristics.
glistening ray ["kintsugi"]

Author(s): Komura, Akari | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Hybrid Auto-Scaling for an Asynchronous Computationally Intensive Application

Cloud computing has developed rapidly in recent years. It enables users to access computing resources on an on-demand basis, acquiring resources when an application requires them and releasing them ...
Bitcoin Management in the Digital World Era of Vietnam

Launched in 2009, Bitcoin is increasingly accepted and used more widely. With many advantages, Bitcoin has brought opportunities and challenges to the financial and noney market. Bitcoin has been accepted by many countries as a valid payment method such as Japan, South Korea, Singapore, Australia and so on. In Vietnam, Bitcoin has been introduced and has formed a community of users as well as developed the support platforms. However, Vietnam has not had the specific research and legal framework for this kind of currency to control it effectively. The paper analyzes the benefits as well as the risk of using Bitcoin. Furthermore, the paper emphasizes on effecting of Bitcoin on the financial and monetary market, socio economic and proposes some solutions to increase efficiency in Bitcoin management in Vietnam.
On the likelyhood for finite mixture models and Kirill Kalinin’s paper “Validation of the Finite Mixture Model Using Quasi-Experimental Data and Geography”

About an error in a paper of Kalinin trying to reconstruct the election results by solving some optimization problem
Decision Tree Generation Method in Intrusion Detection System

Assigning virtual machines to appropriate physical machines has becoming a hot issue in the field of cloud computing. This paper combines ant colony optimization algorithm with virtual machine scheduling idea, and proposes a virtual machine scheduling algorithm based on ant colony model. By analyzing the historical memory consumption of each physical machine, the algorithm can predict the future memory consumption of each physical machine, thus realizing the effective allocation of virtual machine resources on cloud infrastructure. In order to verify the effectiveness of the proposed algorithm, simulation experiments are carried out under homogeneous and heterogeneous modes with the current representative algorithms, respectively. The results show that the proposed algorithm has remarked supercities.
LibGuides: Music: Find Articles

We designed this research guide for students in the music program at Gonzaga. You'll find the materials, search tools, and other resources you need to start your research. Please contact your librarian if you need any assistance.
Estimating Productivity of Dairy Cows by Inductive Logic Programming

In this study, we attempt deriving rules to estimate the productivity of dairy cows using inductive logic programming (ILP) for dairy farming. The milk yield of dairy cows is economically important and, of course, should be large. Accordingly, we selected data using the total milk yield in a lifetime as athreshold, and our ILP algorithm learned about positive and negative cases. As a result, 42 rules in positive, and 11 rules in negative were derived. ILP is also applicable for dairy farming and can provide useful information for farmers.
LibGuides: Diversity, Equity, and Inclusion in STEM: STEM Initiatives

A guide to resources related to underrepresented groups in science, technology, engineering and mathematics.
Posner Cueing Paradigm in Augmented Reality Environment

Posner Cueing Task is an experiment to investigate the eect dierent type ofstimulis could have on the visual attention. This master thesis aimed toimplement a Posner Cueing Task in an Argumented Reality using a integratedeye tracker. The thesis were divided into two distinct parts. One part to writecode for synchronisation and communication between Microsoft Hololens andTobii eye tracker. One part to use this framework and devices to implementand run a Posner cueing task with subtle cues. The synchronisation was carriedout using the UDP protocol sending data packages over the tobii network. Asthe tobii glasses were specially modied to t onto the Hololens the camerahad been removed. This caused the need to be able to calibrate the eye trackerwithout the normal use of the front camera. A task that showed to be possibleto solve by providing a digital calibration marker to the eye tracker.The communication between the two devices were implemented and worked asexpected with a fairly low latency. The Posner Cueing Task were thenimplemented and deployed to the Hololens glasses using Unity and VisualStudios. The eye tracker broke just before the experiment were to be carriedout. The code had to be adapted to not use the eye tracker. The experimentwere then carried out with only the hololens as a input device.The test result showed that a subtle cue had a similar eect of the participantsattention as a high contrast cue. The experiment also showed that a valid cue,one that showed at the same side as the target, yield a lower RT than an invalidcue, one showed at the opposite side of the target. Cue-target onsetasynchronies is the time between that the cue dissapeared and the targetappears. This varied from 50ms to 650ms, where the lower ones had a positiveeect on the RT. The eect decreased with time and yield a negative eect for650ms CTOA.
Finding the Optimal Color Channel for Information Hiding in LSB Insertion Method

Huge amount of data is shared online with the development of technology and internet. This development provides various potential to users. Although, securing the data on the digital platform has been one of the most important issues. Various methods have been developed for data security. Encryption and steganography are the most used ones. These are used as complementary rather than alternative. While the purpose of the encryption is to protect the content of the data, steganography is concerned with hiding the existence of the data. Therefore using two methods together will increase data security. Steganographic methods could be applied to different types of digital media. In this study LSB (Least Significant Bit) insertion method which is widely used to hide information in image video and audio files will be applied on image files with 24-bit bmp format. The data will be hidden in only one of the channels. After evaluating the changes on each channel, best channel to hide data will be selected and used.
Person re-identiﬁcation in a top-view multi-camera environment

The thesis introduces the reader to the concepts of edge computing in terms of person re-identiﬁcation and tracking problem. It describes the challenges, limitations, and current state-of-the-art solutions. The author proposed a pipeline for the task, launched several experiments on validating different parts of the system, and provided a theoretical explanation of the person re-identiﬁcation process in the overlapping multi-camera environment.
Ephemeral Schnorr Signcryption for Secure Data Transaction in Cloud

Cloud computing is a new method used to offer the various services.Security is a major concern for protecting the data from the unauthorized user access while performing the data transaction from cloud user and server.However, the conventional methods still have the issues of data transaction security.In order to improve the security level during the data transaction, Ephemeral Schnorr Signcryption based Secured Data Transaction (ESS-SDC) method is introduced for improving the data confidentiality rate in cloud environment.The ESS-SDC method includes the three processes, namely ephemeral key generation, signcryption and signature verification.Initially, the cloud server generates the ephemeral key pair (i.e., private key and public key) for each registered cloud user to access the data.When a cloud user wants to access the data from server, the data owner performs identity based authentication.If a cloud user is an authorized user, data owner request the cloud server to transmit the data in the form of ciphertext and signature to the cloud user.Finally, the signature verification is performed at the receiver side (i.e.user) to decrypt the data.Then the authorized users obtain the original data and improve the secure data transaction process.Experimental evaluation of proposed ESS-SDC method and existing methods are carried out with respect to the number of cloud users and data.The results and discussion confirmed that the proposed ESS-SDC method improves the transaction security with higher data confidentiality rate, authentication accuracy and minimum processing time than the other state-of-theart-methods.
Binary Recompilation via Dynamic Analysis and the Protection of Control and Data-flows Therein

Author(s): Nash, Joseph Michael | Advisor(s): Franz, Michael | Abstract: Legacy binaries need to continue functioning even when no source code has been preserved, to support the workflows of government and industry. The binaries often lack recent improvements in compiler design and software engineering practices, causing them to be slower and less secure than modern binaries. Binary rewriting seeks to patch, optimize, instrument, or harden binaries to bridge this gap, but existing practice is limited by the underlying static analysis. We created a framework, BinRec, to use dynamic analysis to lift binaries to LLVM IR then recompile them, which overcomes the limitations of static analysis.The protection of software against memory corruption exploits has a rich history, which this thesis both systematizes and extends. We present a study of the performance, precision, and security of control-flow integrity (CFI). Data-only attacks can bypass CFI, and so we present a defense against these attacks. The application of these hardening techniques to binaries deserves further study, and we discuss the extent to which security hardening can be applied to recompiled binaries.This dissertation presents building blocks for the securing of legacy binaries using dynamic analysis, which we hope will become a dominant paradigm in the secure software ecosystem of tomorrow.
Blockchain Based E Voting System

Building an electronic casting a ballot framework that fulfills the lawful necessities of administrators has been a test. An appropriated record innovation is an energizing mechanical headway in the Information Technology world. This paper intends to assess the utilization of block chain as administration to actualize dispersed electronic casting a ballot framework. The paper elicit ate the prerequisites of structure electronic casting a ballot framework and distinguishes the lawful and mechanical constraints of utilizing block chain as an administration for acknowledging such frameworks. The paper assesses a portion of the prominent block chain systems that offer block chain as aadministration. This paper proposes a novel electronic casting a ballot framework dependent on block chain that tends to all constraints. All the more for the most part this paper assesses the capability of dispersed record advancements through the portrayal of a contextual analysis, to be specificthe procedure of a race and actualizing a block chain-based application which improves the security and diminishes the expense of facilitating an across the nation decision.
Comparing Catastrophic Interference between Incremental Moment Matching-Mean and Hard Attention to the Task

When a neural networks trained on data to solve one problem is trained on new data to solve another problem it tends to forget what it had previously knew that made it able to solve the first probl ...