Reviewerly/exHarmony huggingface dataset:
Detecting Oxides Mineralization Utilizing Remote Sensing and Comprehensive Mineralogical Analysis: A Case Study Around Mikbi-Zayatit District, South Eastern Desert, Egypt

Undoubtedly, involving more tools, datasets, and techniques for detecting the mineralized areas sharply narrow the zones to be investigated and delivered, in most cases highly potential zones. Consequently, this study is an attempt to apply remote sensing data including Sentinel 2 and ASTER, field observations, petrography of the hydrothermal alteration processes, ore microscopic investigations, X-ray examinations, and EDX analysis to detect and emphasize mineralization types at Wadi Mikbi and Wadi Zayatit district, South Eastern Desert, Egypt. Towards accurate lithological mapping, remote sensing data, previous geological maps, and the field investigations recorded serpentinites, ophiolitic metagabbros, amphibolites, epidosite, arc-related metasediments (schists and quartzites), metagabbro-tonalite complex, dunite, olivine gabbros, and granitic rocks encountered in the study district. Additionally, various hydrothermal alteration zones have been primarily outlined using ASTER and Sentinel 2 data by implementing informative band ratios and constrained energy minimization techniques. The mineralogical studies have confirmed most of the remotely-detected hydrothermal alteration minerals. Ore microscopy, XRD technique, and EDX microchemical analysis of representative mineralized samples of the study district identified magnetite, ilmenite, titanomagnetite, chromite, magnesioferrite, quartz, apatite, clinochlore, plagioclase, pyroxene and epidote. Cross-linking remote sensing results, field observations and laboratory studies revealed that the dominant hydrothermal alteration processes include oxidization, serpentinization, carbonatization, epidotization, silicification, zoisitization, muscovitization, sericitization, and chloritization. Spatial overlay analysis of the resultant altered features, structural dissection, field observations, and analytical studies were integrated to build a mineral potentiality map of the study district.
The Calibrated Error-Driven Ranking Algorithm as a Solution to Oscillation in Antagonistic Constraints: A Necessary Bias for Algorithmic Learning of Kihnu Estonian

This paper investigates the learning of Kihnu Estonian, a minority dialect of Estonian (Balto-Finnic). I propose a set of constraints to account for Kihnu Estonian vowel harmony patterns, and show that they can be used to produce a restrictive grammar for Kihnu Estonian vowel harmony. With this constraint set, I model the acquisition of Kihnu Estonian vowel harmony via the application of the Gradual Learning Algorithm (Boersma and Hayes, 2001). Antagonistic constraints in the set I adopt pose obstacles to successful learning of the vowel patterns attested in the learning data. These obstacles can be circumvented via use of the update rule from the Calibrated Error-Driven Ranking Algorithm (Magri, 2012).This update rule has been argued to be detrimental to learning variation in stochastic OT. However, though it was originally proposed to address the Credit Problem (Dresher, 1999), I show that it is in fact an elegant solution to the learning problems caused by oscillating constraints when modeling acquisition of Kihnu Estonian vowel harmony.
Supported by 2D and 3D Imaging Methods Investigation of the Influence of Fiber Orientation on the Mechanical Properties of the Composites Reinforced with Fibers in a Polymer Matrix

The aim of this study was to examine the behavior of the carbon fiber reinforced polymer (CFRP) composites depending on the fiber orientation and to understand the influence of microstructural discontinuities on mechanical properties.For the tests 210 gsm prepreg composite and 200 gsm carbon fabric with polymer matrix have been used.Samples were structured and later examined according to the ASTM-D3039 and ASTM-D3878 (equivalents are ISO 20975, ISO 527-4 and ISO 527-5).Accordingly, to the number of layers, three ways of the fibers arranging in relation to the applied force were used.Mechanical properties were determined in a static tensile test.The results of imaging studies, which included analyzes of Digital Image Correlation, Computed Tomography and Scanning Electron Microscopy, showed structural discontinuities, specific stress distribution and propagation of stresses depending on the production technology, which were correlated with the obtained strength results.The source of the gradual development of the degradation of the composite structure was observed in local microdamages and microcracks.As a result of a sub-critical crack growth within the resin matrix material, the defects are subject to a complex, multi-axial stress field on the micro-scale, even if the globally applied force is axial.Samples in which the load was applied along the axis of the fibers behave like an elastic material, while samples, where the force is applied at an angle to the axis of the fibers, tend to behave like an elastic-plastic material.
Virtual LIS practicums: Student and supervisor experiences during COVID-19, part 2

E xisting literature on practicum experiences often focus on one perspective, either the student's or the supervisor's, but rarely in the same piece or related to the same practicum offering.Pre-professional fieldwork helps graduates pursue specialized library careers, addressing the well-documented experience barrier that many graduates lack.Because COVID-19 required remote learning, virtual practicums may continue, offering LIS graduates the chance to learn from experts and develop skills beyond traditional LIS curriculum. 1 For the practicum shared here, the student's institution and practicum host site agreed to modify the existing in-person experience into a virtual format because of COVID-19.Part 1 of our article, published in the May 2023 issue of C&RL News, outlined the logistics and preparation in offering an online practicum and described the student objectives and learning outcomes.In Part 2, we present the student's and supervisor's reflections on communication, work-life balance, managing information overload, and project workload, providing recommendations for others coordinating a virtual practicum. About the institutionThe University of Illinois Chicago (UIC) is a Carnegie Classified Research 1 institution with a health science library supporting research and education at three regional locations (Chicago, Peoria, and Rockford) and three satellite locations (Quad Cities, Urbana, and Springfield).The practicum took place within the Health Sciences Library (LHS) in the Information Services and Research (ISR) Department.LHS supports six health sciencespecific colleges (medicine, nursing, pharmacy, dentistry, public health, and applied health sciences) of
Decentralized Voting System Using Blockchain

Abstract: India is the world's huge democracy and has the greatest population. The necessity for more advanced technology is brought on by security flaws in the current voting system. Although there are difficulties in creating a safe electronic voting system, there are advantages such as ease and cost savings. There are problems that need to be solved, like user authentication and faulty equipment. In order to increase security and transparency, the suggested solution calls for building a secure voting system that makes use of blockchain technology. The dependability and integrity of the Indian election process would increase as a result of this, which would guarantee the users' legitimacy and safeguard against manipulation or fraud.
Partisipasi Petani Terhadap Ketersediaan Sumberdaya Air Irigasi Aceh Besar

The participation of farmers who own irrigated paddy fields has an effect on the availability of water resources because the participation of farmers in managing irrigation water resources can help the availability of water in paddy fields even though the availability of water is limited. One of the factors causing the non-optimal distribution of water and the long distance between the water source and the irrigated paddy fields causes an uneven distribution of water in the paddy fields so that some farmers use water pumps to irrigate the paddy fields. The purpose of this study was to determine the level of participation of paddy farmers. irrigation on the availability of water resources in Blang Bintang District, Aceh Besar District. The data analysis model used is Likert scale analysis. The results showed that the average level of participation of irrigated rice farmers on the availability of water resources was in the medium category or 63.82%. This shows that involvement in each activity is only when entering the rice planting season. Based on the partial test (t test) shows that the variables of land area (X1), income (X2), motivation (X3) and experience (X4) partially have no significant effect on the participation of irrigated rice farmers in the availability of water resources in Blang Bintang District, Aceh BesarRegency
Using Digital Learning Media as Information Literacy to Improve Learning Activity

The purpose of this study is to describe the use of digital learning media as a source of information literacy and student activity. Research methods using mixed methods. Data collection using instruments in the form of questionnaires and observation sheets. The data analysis used was editing, tabulating, analyzing, concluding. The results of research for information literacy of students that the aspect that has the highest interval is found in the fourth aspect, namely the ability individually or in groups to use information effectively to achieve certain goals with a value of 3.74 while the lowest aspect with a value of 33.00 in the second aspect is the ability to access information that needed effectively. This is in line with Izzatinnida’s research (2019) that the use of internet media as a learning resource consists of browsing or searching to obtain significant additional material outside of textbook subject matter. Teachers and their students can access this information as a learning resource. In the learning activities of students for meetings I and II there was an increase in every aspect. These aspects include based on the introduction, student orientation to problems, organizing students to study, guiding investigations, developing and presenting work, analyzing and evaluating problem-solving processes it can be concluded that information literacy and learning activities can be put to good use during learning and increase learning activities in supporting information
Computer Vision based Media Control using Hand Gestures

Abstract: Hand gestures are a form of nonverbal communication that can be used in several fields such as communication between deaf-mute people, robot control, human–computer interaction (HCI), home automation and medical applications. At this time and age, working with a computer in some capacity is a common task. In most situations, the keyboard and mouse are the primary input devices. However, there are several problems associated with excessive usage of the same interaction medium, such as health problems brought on by continuous use of input devices, etc. Humans basically communicate using gestures and it is indeed one of the best ways to communicate. Gesture-based real-time gesture recognition systems received great attention in recent years because of their ability to interact with systems efficiently through human-computer interaction. This project implements computer vision and gesture recognition techniques and develops a vision based low-cost input software for controlling the media player through gestures.
An Economy-based Amendment to Learning Hidden Structure with Robust Interpretive Parsing

Robust Interpretive Parsing is a method of learning hidden structure with error-driven learning algorithms (Tesar and Smolensky 1998, 2000). When an algorithm makes an error while learning a word, it calculates what it considers to be the structural representation of the word (the “target parse”) and changes its grammar accordingly. Among potential directions of grammar change, it chooses the direction that best satisfies the current constraint ranking. However, this choice is problematic because the current constraint ranking is guaranteed to be erroneous: had it not been erroneous, an error would not have occurred in the first place. While this problem has been recognized conceptually by Jarosz (2013), there have not been demonstrations of the problem arising in actual learning simulations. I present evidence from new learning simulations that the choice of target parse based on constraint ranking can indeed lead to learning failure. I then suggest an alternative method of choosing the target parse. This method opts for the target which involves the least amount of rerankings to accommodate for. In other words, it rewards economical change. While this alternative method does not lead to drastic improvement of performance, it does result in more efficient convergence.
Intelligent Avatars, Holographic Tools, Digitized Objects: An Extended Reality Simulation Demonstration

How can we design engaging and effective medical education both online and on site? Extended reality (XR) is a term referring to all real-and-virtual combined environments and human-machine interactions generated by computer technology and wearables. It includes representative forms such as AR, VR, and MR, and the areas interpolated among them. MR is a domain of particular interest today: It takes place not only in the physical world or in the virtual world, but is a mix of the real and the virtual. Metaverses can be enabled by MR wearable augments. Glasses-free MR is another very interesting dimension: e-REALâ, as a MR environment for hybrid simulation and medical education in general, can be a stand-alone solution or even networked between multiple places through a link to a special videoconferencing system. Digital humans and human-sized holograms are part of the e-REAL scenarios, making this solution unique, rich, and diversified.
Measuring and Predicting the Quality of a Join for Data Discovery

We study the problem of discovering joinable datasets at scale. We approach the problem from a learning perspective relying on profiles. These are succinct representations that capture the underlying characteristics of the schemata and data values of datasets, which can be efficiently extracted in a distributed and parallel fashion. Profiles are then compared, to predict the quality of a join operation among a pair of attributes from different datasets. In contrast to the state-of-the-art, we define a novel notion of join quality that relies on a metric considering both the containment and cardinality proportion between join candidate attributes. We implement our approach in a system called NextiaJD, and present experiments to show the predictive performance and computational efficiency of our method. Our experiments show that NextiaJD obtains greater predictive performance to that of hash-based methods while we are able to scale-up to larger volumes of data.
Search for Multiple Adjacent Marked Vertices on the Hypercube by a Quantum Walk with Partial Phase Inversion

There is a strong interest in quantum search algorithms, particularly in problems with multiple adjacent solutions. In the hypercube, part of the energy of the quantum system is retained in states adjacent to the target states, decreasing the chances of the target states being observed. This paper applies the Multiself-loop Lackadaisical Quantum Walk with Partial Phase Inversion to search for multiple adjacent marked vertices on the hypercube. Aspects like the type of marked vertices are considered in addition to using multiple self-loops and weight compositions. Two scenarios are analyzed. Firstly, the relative position of non-adjacent marked vertices together with adjacent marked vertices. Secondly, only adjacent marked vertices are analyzed. Here, we show experimentally that, with partial phase inversion, a quantum walk can amplify the probability amplitudes of the target states, reaching success probabilities of values close to $1$. We also show that the relative position of non-adjacent marked vertices does not significantly influence the search results. Our results demonstrate that the partial phase inversion of target states is a promising alternative to search adjacent solutions with quantum walks, which is a key capacity for real search applications.
Online Training in Music Education Based on a Signature Pedagogy

The paper presents the investigation of the effectiveness of the online training for future music teachers based on the signature pedagogy at the university. The literature review let us stated the gap in researches which cover online learning strategies for training music teachers in the professional preparation process. Due to the shifting of the educational process to the online way in the emergency situation COVID19 pandemic, the relevance of pedagogical tools for pre-paring of future specialists online extremely increased. The comparative analysis of music education standards in different countries let us determine the set of teachers` professional activities in general school music class. The main contribution is the design of a small private online course based on the signature pedagogy which delivered the set of specific pedagogical tools for training music teacher professional skills online. This course was implemented at [removed for blinded review]. The experimental work was based on the teacher` assessment of online tasks, in which students demonstrated the music teacher` professional skills. The results were proved by the statistical methods of median, standard deviation and Pearson's correlation. The obtained results proved the effectiveness of the online training based on the signature pedagogy which provided learning activities according to the specific features of music teacher professional practice.
Automatic Requirements Engineering: Activities, Methods, Tools, and Domains – A Systematic Literature Review

Requirements engineering (RE) is an initial activity in the software engineering process that involves many users. The involvement of various users in the RE process raises ambiguity and vagueness in requirements modeling. In addition, traditional RE is a time-consuming activity. Therefore various studies have been conducted to support process automation on RE. This paper conducts a systematic literature review (SLR) to obtain information about RE automation related to RE activities, methods/models, tools, and domains. SLR is done through 5 main stages: definition of research questions, conducting the search, screening for relevant papers, data extraction, mapping, and analysis. The data extraction and mapping are carried out on 155 relevant publications from 2016 to 2022. Based on the results from SLR, around 53% of the research focuses on RE automation in analysis and specifications, 40% focuses on elicitation, validation, and requirements management, and 7% focuses on requirements quality. NLP is the most used method in elicitation and specification, while for analysis, machine learning, NLP, and goal-oriented models are mostly used in automatic RE. Furthermore, many papers use specific models and methods for validation and requirements management. From the domain analysis results, it is obtained that more than half of the papers contribute directly to the RE domain, and some contribute to the development of RE automation in the software application domain. &#x0D;
A dynamic neural field model of leaky prosody: proof of concept

Recent work has shown that lexical items come to take on the phonetic characteristics of the prosodic environments in which they are typically produced, a phenomenon referred to as "leaky prosody". Focusing on pitch patterns in Mandarin, we show that leaky prosody can be derived from a flat (i.e., non-transformational, non-optimizing) model of speech production. Formalized using Dynamic Field Theory, in our model, lexical, phonological, and prosodic inputs each exert forces on a Dynamic Neural Field representing pitch. Notably, the forces exerted by these inputs reflect surface distributions in a large corpus of spontaneous speech. Our simulations showed that the flat model derives the short timescale effect of prosodic prominence on pitch production as well as the longer timescale effect of leaky prosody. By updating lexical items based on surface phonetic form, words that are consistently produced in high/low prosodic prominence positions take on the phonetic characteristics of those environments.
A Privacy Preserving Generative Adversarial Network for Image Data

The extensive usage of online applications and social media has raised serious concerns from the public regarding the exposure of their personal information. So, there is a strong need for data anonymization to prevent privacy breaches and leakages. The era of attacks on databases and servers is an old trend. Now, most attacks are based on earning access to users’ private data. There are techniques like k -anonymity and l -diversity to protect Personally Identifiable Information (PII) from adversaries. However, these techniques still cannot provide security from homogeneity attacks, and their application is limited to structural data only. Till now, the frameworks are only available to anonymize the human face data in image format. In this paper, we proposed a new architecture for protecting privacy-related information in images of Indian vehicle number plates. We propose an architecture for anonymizing the vehicle number plates using Wasserstein’s Generative Adversarial Network (WGAN) by retaining the original data distribution even after anonymization. Our framework guarantees that it does not store any information while processing. Our main goal is to protect personal information from the image data. After anonymization, there is no similarity between the original and generated image. Our dataset includes a wide variety of license plates from all regions of India. Our work ensures that no human or a character recognition algorithm can recognize the characters from our anonymized images.
AR Indoor Navigation System

Abstract: Nowadays, the field of abstract- augmented reality is starting to boom. In business, education, and now in the navigation of enormous multi-complexes, augmented reality is utilized. With its many capabilities and fewer hardware requirements at the same time, augmented reality makes work simpler and more exciting. When utilized for navigation, augmented reality can give a person additional directions from where they are now to where they want to go in an unknown environment. The purpose ofour research is to investigate every technology that is practical for indoor navigation and to propose a simple prototype as a remedy. Augmented Reality employs its inherent properties toassess a person's position and provide the appropriate navigational guidance in the case of indoor navigation.