Reviewerly/exHarmony huggingface dataset:
Major Evaluation Techniques in English

Educational evaluation is the estimation of the growth and progress of pupils towards objectives or values in the curriculum. The functions of the curriculum are to make provisions for guiding the growth of individual pupils to analyze their strengths and weakness and to point out areas, where remedial measures may be desirable. Techniques of evaluation range from information measures such as teacher ratings or oral presentations teacher framed tests to more refined and standardized measures of aptitudes, abilities, skills, interests and attitudes. Evaluation can be carried out in a number of formal or informal ways. This paper deals with different types of valid and reliable evaluation techniques. The foremost concern is that the assessments should enhance the quality of learner achievements and stimulate learners toward fresh thinking. The main idea of this paper is to plan a student-evaluation pattern that would throw light on what a teacher should do and how it should be done for better assessment. The evaluation must facilitate the all-around development of students.
The Need Analysis of Teaching Material for Macroeconomic Theory Courses, Economic Education Study Program, Pamulang University

The education system has various supporting components. One of them is teaching materials. Based on the results of observations made by observing students' learning behavior, it is known that many students are confused about choosing the right source. So far, lecturers have only used PPT learning resources. Thus, the aim of the research is to find out what teaching materials need to be developed for macroeconomic theory courses at the FKIP Pamulang University economics education study program according to student needs. The research method used is descriptive research with a survey method. Participants in the research were obtained using a non-probability sampling method, namely active students of the economics education study program FKIP UNPAM who were taking macroeconomic theory lectures, namely students taking semester 5, 27 students who participated in filling out a questionnaire via the Google Form link. The research data were analyzed descriptively qualitatively. research results regarding analysis of student needs for teaching materials in macroeconomic theory courses. It is hoped that future researchers will develop teaching materials that can meet student needs according to the learning objectives set and can overcome student difficulties in learning.
Design Mechanism of Information Teaching Platform Based on Cloud Computing

Cloud computing has attracted much attention because it improves the traditional concept of terminal management and facilitates the connection between computer terminal software and hardware. Based on Cloud Computing Technology (CCT), the design mechanism of the information teaching platform was proposed by analyzing the functional requirements of the main modules of the platform. The design framework of the system was developed including the overall architecture of the virtual desktop infrastructure)VDI)VDI, the hardware and software environment of the VDI, the desktop management module, and the remote desktop. The developed VDI for campus based on cloud computing can be used to cope with an insufficient number of computers on campus using the backward teaching management mechanism.
INDEPENDENT WORK OF STUDENTS AS A FACTOR OF INCREASING GENERAL AND PROFESSIONAL COMPETENCE WHEN STUDYING CONDUCTING AND CHORAL DISCIPLINES

The article is devoted to the organisation of independent activities of students in conducting and choral training. The author analyses the importance and role of self-preparation in conducting classes, discusses the concept of independent work, its main types and forms. The author’s attention is focused on the leading role of a teacher in the rational and productive organisation of this activity. The article also discusses the specific characteristics and personal qualities necessary for successful vocal and choral activities, among which the leading role is played by the conductor’s will.
Upaya Meningkatkan Kemampuan Menulis Cerita Pendek Melalui Media Gambar Seri

This research was carried out based on the obstacles found by observers and teachers in the classroom. The obstacle faced is the low skill in writing short stories. Teachers can improve students' writing skills and be able to express ideas in written form by utilizing supporting media, namely using series of images as media. In this study, implementation steps were carried out using tests or evaluation results at the end of the learning meeting. This research was conducted with the aim of finding out whether there was an improvement in students' writing skills by using series of picture media for students. Class IV students at SDN 7 Praya, with a total of 22 students, were the study subjects. This research was carried out using 2 cycles. The student's standard score in phase I was 70.5 and in phase II it was 85 with the specified indicator of success being 75. The students who succeeded in achieving the score determined in phase I were 14 students and those who did not succeed were 8 people, in phase II all participants students succeed in achieving grades. From the results obtained in phase I and phase II, namely 70.5 to 85, there was an increase of 15%. So it can be said that in the teaching and learning process there has been quite a significant improvement so that this research can be concluded as successful. From the results of the implementation of the improvements made, it can be concluded that using series of picture media in Indonesian language learning is very effective in improving students' writing skills.
Pengembangan Media Pembelajaran E-Flashcard Untuk Meningkatkan Keterampilan Membaca Permulaan Peserta Didik Kelas 1 Sekolah Dasar

The purpose of this research is to develop an E-Flashcard learning media to improve early reading skills. The focus of the study is to determine the early reading skills of first-grade students at SDN 1 Tamanan and SD Islam Al Badar, describe the design, validity, and explain the effectiveness of the E-Flashcard learning media in improving the early reading skills of first-grade students. The research method used is research and development (R&amp;D) with the ADDIE development model. The data collection techniques used in this study are observation, interviews, media validation, content validation, practitioner validation, student response questionnaires, teacher response questionnaires, as well as pre-test and post-test instruments for oral early reading skills. Based on the t-test, a sig. (2-tailed) value of 0.00 was obtained for the pre-test and post-test. Meanwhile, the effectiveness test results (n-gain) obtained a mean n-gain value of 75.68, which is &gt; 75. Therefore, it can be concluded that the use of E-Flashcard learning media is highly effective in improving the early reading skills of first-grade students in elementary schools.
MAPPING THE WESTERN PART OF THE BOU AZZER INILIER: ASTER MULTISPECTRAL IMAGE PROCESSING

The Bou Azzer mining district, located in the Anti-Atlas Mountains of Morocco, is worldrenowned for its serpentinized Neoproterozoic ophiolitic complex. These complex host large deposits of CoNi-Fe arsenides and sulf-arsenides, containing significant quantities of cobalt, nickel, gold and copper. Bou Azzer's unique cobalt mineralization makes it an important player on the world market. Unlike other regions, where cobalt is often a by-product of the mining of other metallic substances, Bou Azzer's deposits primarily mine cobalt as the main ore.ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) is an instrument aboard the Terra platform of the Earth Observation System (EOS), used to measure solar radiation reflected and emitted by the Earth's surface in different spectral bands. ASTER measures radiation in 14 spectral bands, including three VNIR (visible and near infrared) bands and six SWIR (mid-infrared) bands, as well as five TIR (thermal infrared) bands.This study presents a mapping methodology using ASTER imagery, with the aim of demonstrating the effectiveness of remote sensing in guiding mineral exploration efforts. The focus is on mapping contact zones in serpentinite, which play a central role as metallotect influencing cobalt mineralization in this geological formation. In addition, this approach is a practical way of reducing mining exploration costs. The results obtained were validated using the 1/50 000 scale geological map of Bou Azzer, supplemented by field visits.
APPLICATION OF THE ORFF METHOD IN GUZHENG TEACHING

The article examines the specifics of Carl Orff’s pedagogy in the context of teaching to play the guzheng. The author analyses the general principles of the Orff teaching method and their application in guzheng teaching. Practical recommendations are given on the organisation of classes, their content, the choice of pedagogical technologies, and classroom design. The article is aimed at analysing the use of Orff’s methodology in guzheng classes of Chinese primary schools. A specific example of the use of Carl Orff’s teaching method in guzheng classes in a Chinese primary school is given in the end of the article. The example is accompanied by explanations and musical notations. When teaching guzheng, it is recommended not to limit oneself to the traditional method, but to follow the method of Carl Orff – to beat the rhythm, improvise, discuss melodies and their performance, etc.
Optımalısası Pembelajaran Teks Prosedur Kompleks Dalam Bahasa Indonesıa Melaluı Penerapan Project-Based Learnıng Dengan Medıa Audıovısual

ABSTRACT This research is motivated by the implementation of the project-based learning model (PjBL) in the context of learning complex procedural texts at SMPN 2 Grati. This research aims to describe three main aspects, namely the application and impact of the PjBL model, the challenges faced, and students' responses to this learning model. This research used a qualitative descriptive approach with 35 class VIIA students as subjects. Data was collected through observation and interviews, documented in the form of documents and field notes. The process of data reduction, data presentation, and drawing conclusions was carried out to analyze the findings. The research results show that the PjBL model is implemented through six stages, including practicing basic questions, creating a project plan, preparing an implementation schedule, tracking student and project progress, testing results, and experience assessment. The main objective of the research reveals that the project-based learning model has a significant impact on collaboration and student learning outcomes, with the highest student average reaching 90 and the lowest 70. The proposed solution involves productive use of time, support from the homeroom teacher, and the use of informative media as an effort to overcome these difficulties. This research contributes to the practical understanding of the implementation of the PjBL model in the context of learning complex procedural texts at the secondary school level. The implications of these findings can be used as a guide for teachers and education stakeholders to increase the effectiveness and efficiency of learning in the classroom.
METHOD FOR RECOGNIZING TEXT DATA IN IMAGES

The purpose of the study is to study the problems arising in the process of digital imageprocessing in systems for obtaining textual characteristics of product objects. Such as the selectionof objects that fall into the frames of the video stream and the recognition of text markings,without the use of specialized hardware. In particular, the problems that arise when workingwith images containing different levels of noise and distortion. The objectives of the study i ncludea comparative and analytical examination of diverse methods and algorithms utilized inthe realm of digital image processing. The primary objectives include identifying, segmenting,and classifying text-containing portions within the video stream. The study aims to construct amathematical model for text extraction from video frames that is adaptable to a wide array ofobjects. Evaluate recognition accuracy under varying levels of noise and perform a comparativeanalysis against alternative solutions based on the acquired data. The presented systemanalyzes the frames of the video stream and classifies the characteristics of the products in theframe. The solution demonstrates the behaviour and capabilities of digital image processingmethods in various conditions in relation to the tasks of text classification and object search ina video stream. During the development of this system, a comparison of various options for recognizingsymbolic information was carried out.
Vertical Time: Sound and Vision

The concept of poetic time, experienced through poetry, music and plastic arts, has ﬁrstly been individuated by Gaston Bachelard in the 1930s. The spectator’s sensation of time rupture and ecstasy has been deﬁned as time rearrangement into a vertical structure, linking to eternity. Although this particular perception of time has been described as triggered by spectator’s experience of sublime art forms, this paper ﬁnds earlier evidence of the phenomenon in Giacomo Leopardi’s poem L’Inﬁnito (1819), as result of nature contemplation. Analysis of the sound that induces the vision of vertical time in Leopardi’s poetry is performed by signal processing techniques. Relations between time, frequency and lag representations of the signal are established, ﬁnding correspondence of the signal power spectral density and time verticality in the lag domain.
Keterampilan Menulis Puisi Bebas Pada Mata Pelajaran Bahasa Indonesia Kelas IV MI

In this era, learning the Indonesian language is very important for children. Learning Indonesian is very important because it will enable children to understand the correct grammar. The purpose of the research is to find out the skills that students have in writing free poetry. The method used in this research uses qualitative descriptive through the type of case study research. Data collection in this study uses observation techniques, tests, and interviews. As well, descriptive analysis techniques are used in this study. This study shows that there are still some students who like and dislike Indonesian language lessons. Students still have difficulty composing poetry and understanding the elements of poetry, according to the skills of free poetry writing. However, there are still students who enjoy doing it and feel easy to write poetry. Therefore, the role of the teacher in helping students learn Indonesian and develop the ability to write poems freely is important. As well as the role of the school that improves the quality of teachers so that they can be professional and make learning activities interesting
Solving Hamiltonian Cycle Problem with Grover’s Algorithm Using Novel Quantum Circuit Designs

The Hamiltonian cycle problem (HCP) is related to the decision of whether there exists a cycle in a graph that visits every vertex exactly once. It is a well-known NP-complete problem, and thus there currently exists no classical algorithm solving it with polynomial time complexity in the worst case. With the emergence of quantum computers, the introduction of Grover’s algorithm has suggested new possibilities for solving the HCP more efficiently. In this article, we propose three novel quantum circuit designs of quantum counters to be embedded in the oracle of Grover’s algorithm to check if the input instance satisfies the HCP constraints to solve the HCP. We executed Grover’s algorithm with the novel quantum circuit designs, through the IBM Quantum Lab service, to solve the HCP to validate the design correctness.
Reflectance spectrometry, X-Ray Diffraction and petrographic study in the Igoudrane region, Imiter inlier, Eastern Anti-Atlas, Morocco.

The Anti Atlas is southern Morocco's greatest structural region, and the Igoudrane pluton is located at the base of the same-named high volcanic massif, to the east of the Imiter mine. The research area is next to the Imiter mine, a massive underground and open-pit mine located in the northern Precambrian basement of Jbel Saghro. It is notable for its hydrothermal Ag-Hg deposit connected to an east-west fault and the deposition of Late Neoproterozoic (550 3Ma) rhyolitic rocks. the alteration minerals in the Igoudrane region, Imiter inlier, Jbel Saghro, Eastern Anti-Atlas. The present study adopted the reflectance spectrometry, X-Ray Diffraction (XRD), and thin sections, in order to highlighted the alteration minerals in the Igoudrane region, Imiter inlier, Jbel Saghro, Eastern Anti-Atlas. The analysis of X-Ray diffraction diffractograms of the samples taken from the Igoudrane region revealed the presence of the main crystalline phases, as well as the alteration minerals such as chlorite, clacite, geothite. The Reflectance spectrometers use visible and near infrared (VNIR) and shortwave infrared (SWIR). These instruments have a spectrum range between 350 and 2500 nm covering the visible and near infrared (VNIR; 350-720 nm) and short-wave infrared (SWIR; 720-2500 nm). The hydrothermal alteration in the Igoudrane region were silicification, clay alteration, and propylitic alteration (chloritization), which is caused by the disintegration of ferromagnesian minerals (alteration of minerals such as pyroxenes, amphiboles, and biotites). Chloritization is commonly linked with severe plagioclase change. Oxidation is found in all samples with goethite, hematite, and ferrihydrite. The most recent is an intermediate mineral formed by the alteration of pyrite (source), followed by spring, jarosite, Schwertmannite, ferrihydrite, and, if the alteration continues, goethite.
Investigation on the Current Situation of Female Teachers in Higher Vocational Colleges in Hubei Province

Higher vocational colleges; Female teachers; Aerobics exercise; Status survey
DATABASE DESIGN IN A BLOCKCHAIN-BASED SYSTEM FOR GENERATING AND VERIFYING ACADEMIC CREDENTIALS

The management of data and their storage in the database for an indefinite time, whether in a centralized or decentralized form, is of great importance for the operation of the system and its efficiency. One of the challenges that decentralized systems are facing is the lack of decentralized management of databases, because they have limitations in terms of inserting, updating, and deleting data. The generation of diplomas is a more sensitive issue and one of the reasons why it has not been digitized to date is the fact that centralized systems do not offer sufficient security for the generation of such documents, since the same systems must be controlled by third people or administrators of the system, where there is also the suspicion of data misuse. Through the paper, we will compare centralized and decentralized databases, the operation of decentralized databases and finally present a scheme of our visio
A survey of fermat factorization algorithms for factoring RSA composite numbers

In this research, we delve into the challenges associated with factorization in the context of the RSA cryptosystem. The RSA cryptosystem's security relies on the computational complexity of breaking down its modulus, which is essentially a product of two prime numbers denoted as 'p' and 'q.' Notably, the RSA modulus differs from the typical factorization problem, as it involves exceptionally large prime numbers, each roughly half the size of the modulus itself. If one manages to determine the factors of this modulus, it compromises the security of the entire RSA cryptosystem, as these factors can be exploited to derive the private key.Within this article, we provide an overview of the advancements made in the realm of factoring RSA moduli. Recent efforts in RSA factorization have successfully tackled 250-digit decimal RSA moduli. We also explore the common algorithms employed in factorization and delve into approaches based on the Fermat factorization method. Additionally, we discuss the various programming tools utilized to handle the challenge of factoring large numbers. Furthermore, we delve into the enhancement of the simple Fermat Primality test as a means to expedite the Primality Testing algorithm. Lastly, we offer a concise summary outlining the steps involved in the Number Field Sieve algorithm.
Pre-service English Teachers’ Voices Toward The Use of Quizizz in Learning Tourism

Tourism courses assist pre-service English teachers in developing their English abilities in the appropriate contexts. The pre-service English teachers learn particular terminology and the application of English in the tourism business, such as identifying tourist sights and culture and communicating with international guests. Quizizz is one of the exciting learning evaluation media which is commonly used in a learning process. This study aims to explore the pre-service English teachers’ voices toward the use of Quizizz in learning Tourism. In collecting the data, the researchers used a questionnaire. The questionnaire was adopted from the previous study, which was conducted by Basuki (2019). The participants were 30 pre-service English teachers of an Islamic state university in Central Java, Indonesia. Based on the analyzed data, it was found that the pre-service English teachers who participated in this study favoured incorporating Quizizz as a website and app into their tourism studies. Furthermore, most of them agreed to use Quizizz in their future lectures
Ясан эдлэлийн дижитал баримтжуулалтын арга зүй

Throughout human history, ancient people crafted tools from common materials like stone, wood, and bone. The preservation challenges posed by organic artifacts, such as those made from wood and bone, are evident in archaeological excavations. Frequently, these objects have undergone substantial deterioration, losing their original state. In certain instances, the sole remnants are photographs. This article discusses a digital documentation method for organic artifacts discovered in archaeological excavations. Within the research, we will briefly outline the documentation results achieved through technologies like photogrammetry, LIDAR, and light scanners applied to bone and horn items held at the National University of Mongolia.
FA -WSI -CNN Model for Predicting Breast Cancer using Deep Learning

Deep Learning is used for predicting a large volume of data sets in the medical field particularly for breast cancer prediction and diagnosis. The most effective and broadly applied model for detecting breast cancer is the Conventional Neural Network (CNN) among the various deep learning algorithms available. The existing CNN models are lacking in the analysis of a fully labeled Whole Set Image (WSI) data set. The proposed Fully Automate WSI with the CNN model will analyze the whole slide images and patch the input image for improving the accuracy. Then CNN model will get input from patched images and creates classified data for predicting breast cancer. The scikit-learn deep learning framework with Python is used to analyze the result and build a generalized tissue classifier, the WSI data set should include tissues generated under numerous different preparation circumstances. The proposed model experimental results shows promising WSI patch values, accuracy, precision, re-call, and F1 score of the breast cancer tissues which are used for diagnosis purposes. The FA -WSI -CNN model can reduce the training time by evaluating the inference time