Reviewerly/exHarmony huggingface dataset:
Weakening mechanisms in dry, lower-crustal pseudotachylytes

&amp;lt;p&amp;gt;Earthquakes are often regarded as agents of rheological weakening of the dry and mechanically strong lower crust. The weakening is typically attributed to fluid infiltration and resulting fluid-mediated metamorphism along the seismic fault.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;On Moskenes&amp;amp;#248;ya in SW Lofoten (Northern Norway), we observe lower-crustal pseudotachylytes (frozen frictional melts that record fossil earthquakes) that are unusually dry. This presents us with an exceptional opportunity to study the processes affecting the rocks during and after an earthquake:&amp;lt;/p&amp;gt;&amp;lt;ul&amp;gt;&amp;lt;li&amp;gt;We can observe the pristine microstructures of the pseudotachylytes, not overprinted by later metamorphism, to elucidate the earthquake-generating mechanism.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;We can study the further development of these dry pseudotachylytes after the seismic event.&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;&amp;lt;p&amp;gt;We have previously described the composition and microstructures of the pristine pseudotachylytes, and concluded that transient stress pulses caused by shallower earthquakes are the most likely explanation for the occurrence of fossil earthquakes in the analysed rocks from Lofoten, with no evidence of other mechanisms such as thermal runaway or dehydration embrittlement.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this contribution, we focus on the evolution of the pseudotachylytes after their formation. We study their development from the initial, pristine pseudotachylytes, via pseudotachylytes with slightly mylonitized margins, to ultramylonites. We use compositional and microstructural analyses, including electron backscatter diffraction (EBSD), to understand the weakening mechanisms in this dry system.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the mylonitized margins of the pseudotachylytes, a slight shape-preferred orientation is developed and the quenching microstructures, such as microlites, are lost. The mineralogical composition (dominantly feldspars and pyroxenes) stays the same as in the pristine pseudotachylytes. In the ultramylonite, quartz and amphibole appear as accessory minerals, which means that we cannot completely exclude the presence of minor amounts of hydrous fluids; however, feldspars and pyroxenes persist as the main components of the rock. The foliation of the ultramylonite is not defined by phyllosilicates, but by a compositional banding, which suggest a phase separation and aggregation during shearing. EBSD data indicate that the main constituent phases deformed dominantly by grain size sensitive creep.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Our preliminary results suggest that even in the absence of fluids, pseudotachylyte-bearing seismic faults represent weak zones in the lower crust that are localizing viscous shear during post- and interseismic deformation, presumably due to the intense grain size reduction that facilitates grain-size sensitive mechanisms.&amp;amp;#160;&amp;lt;/p&amp;gt;
Approximate solutions for the ion-laser interaction in the high intensity regime: matrix method perturbative analysis

This work provides an explicit expression for the second-order perturbative solution of a single trapped ion at the high intensity regime. Unlike other perturbative schemes, where the ion-laser dynamics has been explored using unitary transformations and the Lamb-Dicke regime, this analysis relies instead on a direct perturbation method, that may be implemented in simple manner and works especially well without resorting to additional approximations. Based on a matrix method and a final normalization of the perturbed solutions, the second-order perturbative analysis supply the probability to find the ion in its excited state; the resulting perturbative solution renders a high accuracy, comparable to the one based on the small rotation approximation.
Research on the algorithm of marker center positioning under the occlusion of thermoplastic film

Because of its high positioning accuracy, easy identification and high stability, circular markers are widely used in patient positioning in the medical field. However, during radiotherapy, the marker points on the patient's body surface are blocked by the thermoplastic film that fixes the patient, which makes it difficult to extract and locate the center of the marker points. Commonly used circular marker positioning algorithms cannot accurately locate the markers when there are a large number of random deletions. Therefore, a marker center positioning algorithm for this situation is needed. First, the image is converted to the HSV color space to extract the landmark points through threshold processing; then the Canny edge detection algorithm is used to extract the edges of the landmarks under the occlusion; then the Graham scanning method is used to obtain the convex hull points of the edge points. Finally, the improved least squares circle fitting algorithm is used to fit the convex hull points to locate the center of the marker. Verified by experiment, the accuracy of this method for extracting the center of the circular marker is within 0.05 pixel, and the positioning accuracy is much higher than that of the gray-scale centroid method under the same circumstances.
Metric-based Few-shot Classification in Remote Sensing Image

Target recognition based on deep learning relies on a large quantity of samples, but in some specific remote sensing scenes, the samples are very rare. Currently, few-shot learning can obtain high-performance target classification models using only a few samples, but most researches are based on the natural scene. Therefore, this paper proposes a metric-based few-shot classification technology in remote sensing. First, we constructed a dataset (RSD-FSC) for few-shot classification in remote sensing, which contained 21 classes typical target sample slices of remote sensing images. Second, based on metric learning, a k-nearest neighbor classification network is proposed, to find multiple training samples similar to the testing target, and then the similarity between the testing target and multiple similar samples is calculated to classify the testing target. Finally, the 5-way 1-shot, 5-way 5-shot and 5-way 10-shot experiments are conducted to improve the generalization of the model on few-shot classification tasks. The experimental results show that for the newly emerged classes few-shot samples, when the number of training samples is 1, 5 and 10, the average accuracy of target recognition can reach 59.134%, 82.553% and 87.796%, respectively. It demonstrates that our proposed method can resolve fewshot classification in remote sensing image and perform better than other few-shot classification methods.
An Analysis and Survey of Polishing Dents Warehouse Inventory Development

PT Setia Kiji Reed (SKR) was established in 1991, with its Jl address. Rancaekek Km. 24.5, Linggar, Kec. Rancaekek, Bandung Regency, West Java 40394 is a company that already uses computer technology in carrying out its business processes. This company is a joint venture between Japan (KIJI Reed Co. Ltd) and Indonesia, with business activities in the textile industry such as manufacturing and sales of reeds for weaving looms and material suppliers for air-jet reeds. The company has three divisions: Wirecut, Polishing Dents, and Reed Production. However, recording incoming and outgoing goods transactions at the Polishing Dents warehouse is not fully recorded in one application but is stored in various databases. Each punch-out or raw material from the supplier is stored in the warehouse as a raw material., These goods are processed through the production process into finished goods, held in the warehouse as finished goods for export. The data obtained in this study were collected by interview, observation, and literature study. Software development uses the Rapid Application Development (RAD) methodology and a system design approach through the Object-Oriented Approach with the Unified Modeling Language (UML). The results of this study are an inventory management information system that can support and manage inventory processes in the warehouse, such as controlling and monitoring goods, maintaining goods returns, assigning suppliers, and reporting.
An optimal swift key generation and distribution for QKD

Secured transmission between users is essential for communication system models.Recently, cryptographic schemes were introduced for secured transmission and secret transmission between cloud users.In a cloud environment, there are many security issues that occur among the cloud users such as, account hacking, data breaches, broken authentication, compromised credentials, and so on.Quantum mechanics has been implemented in cryptography that made it efficient for strong security concerns over outsourced data in a cloud environment.Therefore, the present research focuses on providing excellent security for cloud users utilizing a swift key generation model for QKD cryptography.The Quantum Key Distribution (QKD) is an entirely secure scheme known as Cloud QKDP.Initially, a random bit sequence is generated to synchronize the channel.An eavesdropper will not permit to synchronize parameters between them.In this key reconciliation technique, the random bit sequence is concatenated with the photon polarisation state.BB84 protocol is improved by optimizing its bit size using FireFly Optimization (FFO) at the compatibility state, and in the next state, both transmitter and receiver generate a raw key.Once the key is generated, it is then used for the transmission of messages between cloud users.Furthermore, a Python environment is utilized to execute the proposed architecture, and the accuracy rate of the proposed model attained 98 %, and the error rate is 2 %.This proves the performance of the proposed firefly optimization algorithm based swift key generation model for QKD performs better than previous algorithms.
An Investigation on Tabu Search Algorithms Optimization

Tabu Search is one of the local search methods used for mathematical optimization Metaheuristics search method.It was founded in 1986 by Fred W. Developed by Clover and in 1989 Formalized.Local (nearby) searches take a potential solution to a problem and its immediate neighbor Check countries (i.e., similar solutions except for very small details).Improved solution Diagnosis.Local search methods on plateaus where subdivisions or multiple solutions are equally applicable Tend to get entangled.Tabu Search is the local search by relaxing its basic rule Improves performance.First, any moves that get worse with each step Will be accepted if not upgraded (if the search is stuck in a strict local minimum).In addition, obstacles (hereinafter referred to as taboo) prevent the return to previously visited solutions Introduced in the category.The implementation of the tab search, the solutions visited or the user Uses memory systems that describe sets of rules provided.[2] A certain short If the possible solution within the period has been visited before or if it violates a rule, it is Will be referred to as "taboo" (blocked) so that the algorithm does not reconsider that possibility.
PEMBELAJARAN SENI MUSIK BERBASIS ETNIS SIMALUNGUN DALAM APLIKASI WEBSITE

This research is entitled Simalungun Ethnic-Based Music Art Learning in Website Applications.The problem in this research is the unavailability of cultural arts learning materials in vocational schools, especially traditional music of North Sumatra, therefore the objectives of this research are to: (1) compile Simalungun ethnic-based music art materials in the form of documents; (2) uploading Simalungun ethnic-based music art materials in audio-visual form to the website application.This research method uses a qualitative approach, data collection techniques using observation, interviews and documentation.The results of the study formulated that the material prepared for learning the art of music was Sulim Simalungun learning in the form of audio-visual.The Sulim Simalungun Learning Video produced in this study describes the technique in playing Sulim Simalungun in stages, both the technique of playing Sulim in general and the typical technique of playing Sulim Simalungun.urthermore, the VCD of Sulim Simalungun learning is uploaded to the website with the blog https://pembelajaransulimsimalungun.blogspot.com/,so that Musical Arts learning is used.
THE EFFECT OF USING SMALL GROUP DISCUSSION METHOD ON STUDENTS’ ABILITY IN READING COMPREHENSION FOR THE ELEVENTH GRADE STUDENTS OF SMA TAMANSISWA BINJAI

The objective of this study is to find out The Effect of Small Group Discussion Method on Students’ Ability in Reading Comprehension for the Eleventh Grade Students of SMA Tamansiswa Binjai. This study is Quasi experimental research. This study used a system of controlled class and experimental class, which acts as a controlled class benchmark basic ability student on reading comprehension without application of the method, while the experimental class was given Small Group Discussion Method. After knowing the mean obtained by the respondents in the controlled class of 49,71, it can be concluded that students' reading comprehension achievement is still low. In this study, students in the experimental class received treatment with the application of Small Group Discussion Method and it has been known that the mean data in the experimental class is 85.35, it can be concluded that students' reading cohesion achievement in the experimental class is good. Based on the calculation of validity test, it can conclude that the data has valid. Then based on the calculation of reliability of test, found that the data has reliable. After testing the homogeneity criteria of the data obtained in the controlled class and the experimental class, it has been found that the data obtained are homogeneous. After testing the data hypothesis criteria that have been obtained in the controlled class and experimental class, it has been found that the hypothesis is received, where tcount &gt; ttable = 19.07 &gt; 1.668, so it can be concluded that Small Group Discussion effects on Students’ Reading Comprehension Achievement of the Eleventh Grade Students of SMA Tamansiswa Binjai.
THE ROLE OF AUTHENTIC ASSESSMENT AND EVALUATION IN POST-COVID EDUCATION

Traditional models of teaching, learning and assessment have focused on teacher-centred learning, standardized testing, formal examinations and frameworks for assessment that do not match the needs of learners in the Fourth Industrial Revolution. In these older models, the power of assessment and evaluation rests in the hands of the instructor. This pedagogical approach is insufficient to meet the learning challenges presented by the cross-sector disruption created by the global pandemic. While many colleges and universities were forced to rapidly shift to what many termed ‘emergency remote teaching’, the long-term fallout of the pandemic is that many institutions of higher education have seen some advantages to adopting a move to online education. However, the ensuing necessary changes in our approaches to assessment and evaluation have not yet followed. A shift in pedagogy necessitates a shift in modes of assessment and evaluation, towards a more nimble, variable, personalized and student-centred model. Educational systems are often slow to change, adapt and discard old paradigms. This paper argues that our current global situation has created the precise conditions of chaos and disruption to allow opportunities for new paradigms of education to emerge. While the authors acknowledge the devastating impact of Covid, we challenge teachers and educational leaders to use this rapid shift to home learning, online learning, and self-directed learning as an opportunity to shift gears. In considering pedagogical ideas such as authentic assessment, socially constructivist approaches to assessment, reflective practice, self-directed learning and fully online learning communities, the authors review how these approaches can more readily meet the needs of learners. A theoretical model of Fully Online Learning Communities (FOLC) is presented, as a framework to support the evolution of more authentic and student-centred models of assessment. This paper is a reflective evaluation of how the impact of the global pandemic opens doors for a full-scale evolution of approaches to assessment and evaluation.
STUDENTS’ PERSPECTIVE AND EXPERIENCE TOWARD LEARNING VOCABULARY USING MOBILE GAME

The increasing of technology bring great impact to humans’ life, including education. Learning English is very important this day, to be able fluent in English students need to learn vocabulary. Students face difficulty when they memorizing and defining vocabulary because there is a huge number of vocabulary, and the process of learning is boring. Mobile games can help students to learn vocabulary more interestingly. This study aims to investigate students' perspectives about learning vocabulary using a mobile game. The method used thematic data analysis from Braun &amp; Clark. As a result student’ has positive preception and expereience about learning media to learn English vocabulary, the challenges that students face, when they learn using a mobile game, is the distraction of social media. Keywords: Mobile Games, Vocabulary Learning
Design of Medical Resume Information System for Covid-19 Patients

The goal of this research is to create an information system for filling up medical resumes for Covid-19 patients at RSIA Limijati Bandung. A qualitative research method with a descriptive approach was use in this study. Observation, interviews, and literature review are examples of data collection techniques. The waterfall method is utilize in the software development process. The following issues were discovered as a result of the investigation conducted: (1). Many medical records are returned to the treatment room because to incomplete medical resumes. (2). The process of checking for completeness and generating reports is still done by hand, which means that patient data is retyped into a computer.
Special Session “Information in Natural Sciences”

The Special Session &ldquo;Information in Natural Sciences&rdquo; of the conference &ldquo;Theoretical and Foundational Problems in Information Studies&rdquo; (TFP) at the 2021 IS4SI Summit focused on information in Natural Sciences. Seven authors contributed extended abstracts based on their results, which are introduced in brief in this overview article. The topics presented for TFP session 3 have spanned a rather wide range of contributions, including discussions on the concept of quantitative information applied in Natural Sciences (NS), the dynamics of physical information in NS, and information epistemology and knowledge on neuronal information processing, which help in understanding the effects of information in human cultural and political decision making.
Use of a Web Based System for Material Delivery and Collection.

The author has created a web-based system focused on educational material delivery and collection.This was accomplished by writing a server-based web interface using the Perl computer language.Using this server based interface, students are required to enter a username and password thereby limiting access to the system to the intended audience.The system's main focus is delivery of educational materials as well as serving as a collection point for student assignments.Educational materials are delivered in several forms including, written material, grading codes and slide shows with descriptive audio.The objective of written material is the augmentation of the class textbook as well as other information pertinent to the course.The overall objective of slide presentations is expanding the set of problems accessible to the students while offering a udio explanations.Another focus of the web-based system is homework and project collection.The collected material takes several forms, most notably Microsoft Word documents, Matlab codes and scanned information.Homework and tests are pushed into the system through the web interface and either graded immediately or stored for grading at a later date.In this paper the author will give a complete description of how the system was constructed.This description will include each part of the complete system as well as experiences with each aspect of the system.The author will detail the capabilities of the system at present, as well as, how the system will change to meet new demands over time.
Burial and exhumation history of the Georgian sector of the central Greater Caucasus

&amp;lt;p&amp;gt;The integration of low-temperature thermochronological and thermal maturity analyses constrains the maximum temperatures experienced during burial by the sedimentary fill of the central sector of the Greater Caucasus basin and the timing of its structural inversion. Raman spectroscopy, illite percentage and stacking order in illite-smectite mixed layers, illite crystallinity index, and Rock-Eval Pyrolysis analyses indicate that the maximum paleotemperatures experienced by the Greater Caucasus basin fill increase progressively from about 100 &amp;amp;#176;C in the southern foothills of the central Greater Caucasus to close to 400 &amp;amp;#176;C approaching the axial zone of the orogen. Apatite fission-track and apatite and zircon (U-Th)/He analyses along the same transect yielded ZHe ages between about 137 and 5 Ma, AFT central ages between about 37 and 4 Ma, and AHe ages between about 10 and 2 Ma, with progressively younger ages approaching the axial zone of the Greater Caucasus. Statistical inverse modelling of thermochronological data, integrating thermal maturity results and all other geological and geochronological constraints available, points to episodic exhumation during structural inversion of the central Greater Caucasus basin. Such basin was first partially inverted in Late Cretaceous/Paleocene times following Northern Neotethys closure along the Sevan-Akera suture zone; renewed basin inversion occurred since Middle-Late Miocene times as a consequence of far-field compressional stress transmission from the Arabia-Eurasia hard collision along the Bitlis-Zagros suture zone. It should be emphasised that this sequence of events applies only to the central portion of the Greater Caucasus and by no means should be extended to the other parts of such a large and complex orogenic system.&amp;lt;/p&amp;gt;
Melanoma Classification based on Simulated Annealing Optimization in Neural Network

Technology development in image processing and artificial intelligence field leads to the high demand for smart systems, especially in the health sector. Cancer is one of the diseases that has the highest mortality cases around the world. Melanoma is one of the cancer types that appear caused by high exposure to UV light. The earliest the melanoma was identified, the higher the chance the patient can be recovered. Therefore, this study carries the melanoma detection based on BPNN optimized by a simulated annealing algorithm. This research utilizes PH2 dermoscopic image data which contains 200 color digital images in BMP format. The data is processed using color feature extraction techniques to identify the characteristics of each image according to the target data. The color space extraction used includes mean RGB, HSV, CIE LAB, YCbCr, and XYZ. The evaluation result showed that the BPNN-SA method was able to increase the accuracy performance in classifying skin cancer when compared to the original BPNN method with an overall average accuracy of 84.03%.