Reviewerly/exHarmony huggingface dataset:
ANALISIS DAN PERANCANGAN BASIS DATA SISTEMINFORMASI PENGARSIPAN DOKUMEN PADA PT JALAFABRIKASI KENCANA

Archives are written, oral, and pictorial documents from the past that are usually issued by official agencies and then stored in written and electronic media. Archive management carried out at PT Jala Fabrikasi Kencana (PT JFK) is still done manually. This management results in less efficiency and effectiveness for employees and can lead to confusion because it is known that many documents are managed. For this reason, an archive management information system is needed that can make it easier for employees to manage records and does not take a lot of time. The document archiving information system at PT Jala Fabrikasi Kencana will be designed using an object-oriented MySQL database and using the Database Life Cycle (DBLC) method. The results of this study are in the form of a databasedesign and a user interface for the archiving information system created.
Anomalous low frequencies in the Japanese koto

A finite element model based on a computed tomography (CT) scan of the Japanese koto, a 13-string plucked zither, was previously found to predict frequencies accurately above 100 Hz when compared to a range of physical experiments with the original instrument. Predictions for frequencies below 100 Hz were more ambiguous. Anomalous low frequency components, also known as phantom partials, have been observed in other zithers, notably the piano. The objective of this study was to assign meaning to all frequencies in general, but specifically as reported in this paper, to frequencies below 100 Hz. The results of the analysis using the CT model as an investigative tool in conjunction with the physical experiments results, identified three types of low frequencies in the sound spectra: (1) Frequencies which are air mediated frequencies and those which are wood mediated; (2) The different frequencies associated with instrument’s wood grain orientation in the x-, y- and z-direction; and (3) Beating arising from the periodic interaction of two frequencies to produce a difference spectrum. These results help to expand the knowledge of the complex resonances in the koto’s characteristic sound.
A Multi-Beam Forward Link Precoding Algorithm for Dirty Paper Zero-Forcing

This article considers the severe co-channel interference caused by the efficient use of spectrum by multiple beams combined with full-frequency multiplexing. After establishing a forward link model that considers severe rainfall attenuation in higher frequency bands such as Ka, the classic low-complexity precoding algorithm for zero-forcing is improved, and a regularized zero-forcing precoding algorithm considering the influence of system noise is proposed. Based on the dirty paper coding idea, a low-complexity dirty paper regularization zero-forcing precoding algorithm is proposed, which maximizes the signal-to-interference and noise ratio, thereby increasing throughput.
An FPGA Based Hardware Accelerated Framework for Solar Spectra Matching with Parameterized Matched Filter IP Core

Solar observations specifically allow one to determine stratifications of atmospheric properties in detail from studying spectra at a high spectral and temporal resolution. In this paper, we present a hardware accelerated framework for solar spectral analysis that includes a parameterized matched filter IP core. Our proposed hardware accelerated framework is able to process a three dimensional data cube of 700,000 spectra to find the best fit to the observation from an archive of 240,000 pre-calculated spectra in less than 3 minutes. This is almost 241 times faster than a similar software based analysis running on standard quad core machine and roughly about 10 times faster than running on GTX 1050 Ti GPU with 768 CUDA cores.
Best 75% Mechanical Keyboard

A 75% Mechanical keyboard strikes a balance between a complete and full-sized mechanical keyboard and a space-saving option. It offers an incomparable ...
Sistem Pakar Untuk Diagnosis Penyakit Ayam Dengan Menggunakan Metode Certainty Factor (CF) Berbasis Web

Abstract Currently, expert systems are widely used in various fields, one of which is the use of expert systems in the field of animal health such as chickens. In the world of chicken farming, every farmer, both small scale and large scale, pays attention to the health of chickens, where health will affect profits. However, many of the community breeders find it quite difficult to get information about livestock problems, such as the process of recognizing quickly and accurately, it is difficult to detect the types of diseases that are caused which are generally similar and the same and there are other difficulties because there are other things so they are reluctant to come to the veterinarian. Based on these constraints, the authors propose an expert system software engineering system to determine chicken disease using certainty factor methods. This system can help in determining a decision and providing more accurate information, because system decisions not only rely on rules, but also generate probability and percentage values using certainty factor methods so that it is easier for small scale breeders and can save time and costs as well as It makes it easier for users to recognize the types of diseases, especially those caused by viruses and bacteria, because the system user only selects the symptoms that appear on the consultation page and after that a decision of the disease and its solution will appear.
Episode Adaptive Embedding Networks for Few-Shot Learning

Few-shot learning aims to learn a classifier using a few labelled instances for each class. Metric-learning approaches for few-shot learning embed instances into a high-dimensional space and conduct classification based on distances among instance embeddings. However, such instance embeddings are usually shared across all episodes and thus lack the discriminative power to generalize classifiers according to episode-specific features. In this paper, we propose a novel approach, namely Episode Adaptive Embedding Network (EAEN), to learn episode-specific embeddings of instances. By leveraging the probability distributions of all instances in an episode at each channel-pixel embedding dimension, EAEN can not only alleviate the overfitting issue encountered in few-shot learning tasks, but also capture discriminative features specific to an episode. To empirically verify the effectiveness and robustness of EAEN, we have conducted extensive experiments on three widely used benchmark datasets, under various combinations of different generic embedding backbones and different classifiers. The results show that EAEN significantly improves classification accuracy about 10–20% in different settings over the state-of-the-art methods.
Research and Practice of Evaluation-Driven IT Laboratory Course

Information Technology is a compulsory course for general computer education in Jinan University for non-mainland students. It mainly teaches the basics and applications of information technology. This paper optimizes the content of experimental courses and improves the experimental teaching modes according to the characteristics of non-mainland students, and then proposes experimental learning model based on students' mutual evaluation. We have already designed experimental content, reference materials, videos and mutual evaluation models, and conducted teaching practice in major of advertising and civil engineering in the first semester of 2020-2021. Through the preliminary investigation, we found that the enthusiasm of the experimental course has been greatly improved and the teaching effort has improved.
PENYULUHAN BERBUDIDAYA JAMUR SKALA RUMAH TANGGA UNTUK IBU-IBU DASAWISMA DUSUN TOTOGAN DESA MADUREJO, KECAMATAN PRAMBANAN, KABUPATEN SLEMAN, DIY

Household industries that are engaged in the percentage of the agribusiness sector,especially mushrooms, are still relatively small compared to those engaged in other sectors.This has become one of the factors for entrepreneurship to improve people's welfare,especially housewives. Mushroom cultivation does not require much capital and byunderstanding proper maintenance procedures will decrease the failure rate of mushroomcultivation. With an average harvest age of 2 weeks since planting, the optimal processingwill quickly generate profits. This community service aims to provide counseling aboutmushroom cultivation on a household scale, by knowing the process of mushroom cultivationusing automatic mushroom incubator, types of mushrooms that can be consumed and thebenefits of mushroom cultivation. The expected results of this activity are Dasawisma womenRT.06 Kampung Totogan, Madurejo Village, Prambanan Subdistrict, Sleman Regency, DIYcan play an active role in efforts to rise living standards and also improve communitywelfare by cultivating mushrooms using household scale automatic mushroom incubator, solater it will create a household business in the field of agribusiness.
How Multitasking Influences the Usage of a Voice Assistant

This paper shows the influence of multitasking on the usage of a voice assistant. Voice assistants allow users to input queries over a speech-only channel, and as a result they do not require the same attention as a traditional search engine. Existing research describes the effects of the use of a voice assistant on driving and other demanding activities, however, there is no research that describes how that demanding activity influences the usage of the voice assistant. To research these effects, three sub questions have been constructed and answered. These tackled three characteristics to describe the usage: the query formulation, the knowledge gain and the user experience. To answer these questions a user study was conducted where the participants used a voice assistant in three situations. Two of these situations included a distraction in the form of a game. We found that the presence of dual tasking results in shorter queries. We also found that a higher intensity of the session can decrease the knowledge gain.
A Critical Review of Shamsuddin Azeemi's "Murāqabah" through the Lens of The Qur’ān and Hadīth

Meditation is an ancient practice that allows people to think about the existence and the main purpose of their lives. It has various forms and is associated with the different religions. Meditation in Islamic societies/cultures is linked with Sufism (Mysticism). During meditation Sufis follow certain practices; most of which are common among different Sufi Schools (Silsila) including Murāqabah. This research article critically analyses the famous practice of Murāqabah, also presented by Khawaja Shamsuddin Azeemi, in his manuscript “Murāqabah: The Art and Science of Sufi Meditation.” Azeemi states that Murāqabah is one of the ways of achieving closeness to Allah and attaining gnosis (maʽrifa Allah). Azeemi has presented Sufi rituals systematically covering the fundamental aspects of meditation (mysticism) that comprises prayer (Du'a), contemplation (Murāqabah), and invocation (Dhikr). Khawaja Shamsuddin Azeemi’s book is a complete manual containing detailed guidelines regarding Murāqabah and its various forms with emphasis that practicing Murāqabah will help “to attain closeness to Allah”. According to the Holy Qur’ān and Hadith, closeness to Allah can be obtained by offering Salah, Tahajjud and sitting for Itikāf in the month of Ramazan. The critical analysis through the lens of the Holy Qur’ān and Hadith shows that neither is the term “Murāqabah” mentioned in the Holy Qur’ān and Hadiths nor is there any evident proof for the diverse rites and rituals associated with the practice of Murāqabah. It is a term coined specifically by the Sufis, along with its various forms and rituals.
Implementation of e-learning system readiness: The effect of the cost readiness on implementing e-learning

The primary goal of this research is to examine and analyse the cost readiness factor as it relatesto e-learning deployment in Kurdistan. The study will look at the cost efficiency and cost readiness factorsthat influence the successful adoption of an e-learning system, and propose prospective and long-termsolutions that would go a long way toward overcoming cost obstacles in the future. The researchers used aquantitative research method to determine the cost readiness of e-learning implementation. The participantsin this study were 516 people from Kurdistan's several private universities. The results demonstrated thatcost preparedness has a large predictive value for e-learning and will have a direct positive relationshipwith it. The survey questions may not necessarily generalize to the greater community of instructors andadministrative personnel at private colleges, which is one of the study's limitations.
ФОРМИРОВАНИЕ ИНФОРМАЦИОННО-КОММУНИКАЦИОННОЙ КОМПЕТЕНТНОСТИ СТУДЕНТОВ ПСИХОЛОГО-ПЕДАГОГИЧЕСКИХ СПЕЦИАЛЬНОСТЕЙ

This article presents the experience in the formation of professional competencies of students of psychological and pedagogical specialties of the University of Almaty. The article raises the currently relevant task of training professionals with professional competencies who are able to work in the context of updated educational content. Future graduates of psycho-pedagogical specialties will have to work in the conditions of the informationeducational environment of an educational institution, in the space of the network interaction of participants in the educational, cognitive and educational processes. In their work, the authors reveal the essence of the concepts «competence», «information and communication competence», their role and importance in the development of a future specialist, give an overview of domestic and foreign literature on the topic of research. The article is aimed at solving problems that contribute to the formation of future psychological and pedagogical specialists in the direction of general and special professional competencies.
Quantum Key Distribution Algorithm for Network Security

Quantum computing computes using superposition principles and entanglement principles that are the part of quantum. Quantum computers are used to solve certain problems that cannot be solved using classical computers. The most widely using quantum models are quantum circuit uses qubits or quantum bits.In cryptography, Quantum cryptography provides more security than classical methods. Shor’s algorithm and Grover’s algorithm are mainly used methods for quantum cryptography. The encryption and decryption is done using Rectilinear bases or Diagonal bases in random manner.The Quantum key distribution QKD is a symmetric encryption key distribution method. The important feature of QKD is authentication and confidentiality. Public key protocol and a symmetric secret key is used to provide quantum safe key exchange and guarantee for long term communication in the network. In the proposed system, the Morse code is used for encryption and decryption. The Morse code used to encrypt bits as light photons that are required for quantum key distribution.
한국어 절대문의 시간 지시와 영형태

In Korean that is an obligatorily tense marking language, the unconditional sentences have no tense or modality marker but the only sentential ending -ta. And the type of these sentences have several kinds of time reference, and are supposed to have a covert tense marker. However it does not satisfied conditions for zero morph which must have an exclusively expressed meaning in the tense system, so that can be interpreted as nothing. However in aspectual meanings, this sentential type has contrastiveness in the aspectual system with a portmanteau morpheme -nun- which is a cumulated tense-aspect marker and represents the non-past imperfective. So zero morph in verb predicates of unconditional sentences is a perfective aspect marker, but the adjective or copula predicates in these sentences have not a zero tense marker but a zero aspect maker.
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling

In industrial applications like online advertising and recommendation systems, diverse and accurate user profiles can greatly help improve personalization. Deep learning is widely applied to mine expressive tags to users from their historical interactions in the system, e.g., click, conversion action in the advertising chain. The usual approach is to take a certain action as the objective, and introduce multiple independent Two-Tower models to predict the possibility of users' action on tags (known as CTR or CVR prediction). The predicted users' high probably attractive tags are to represent their preferences. However, the single-action models cannot learn complementarily and support effective training on data-sparse actions. Besides, limited by the lack of information fusion between the two towers, the model learns insufficiently to represent users' preferences on various tag \textbf{topics} well. This paper introduces a novel multi-task model called Mixture of Virtual-Kernel Experts (MVKE) to learn user preferences on various actions and topics unitedly. In MVKE, we propose a concept of Virtual-Kernel Expert, which focuses on modeling one particular facet of the user's preferences, and all of them learn coordinately. Besides, the gate-based structure used in MVKE builds an information fusion bridge between two towers, improving the model's capability and maintaining high efficiency. We apply the model in Tencent Advertising System, where both online and offline evaluations show that our method has a significant improvement compared with the existing ones and brings about an obvious lift to actual advertising revenue.
Combining resampling and reweighting for faithful stochastic optimization

Many machine learning and data science tasks require solving non-convex optimization problems. When the loss function is a sum of multiple terms, a popular method is the stochastic gradient descent. Viewed as a process for sampling the loss function landscape, the stochastic gradient descent is known to prefer flat minima. Though this is desired for certain optimization problems such as in deep learning, it causes issues when the goal is to find the global minimum, especially if the global minimum resides in a sharp valley. Illustrated with a simple motivating example, we show that the fundamental reason is that the difference in the Lipschitz constants of multiple terms in the loss function causes stochastic gradient descent to experience different variances at different minima. In order to mitigate this effect and perform faithful optimization, we propose a combined resampling-reweighting scheme to balance the variance at local minima and extend to general loss functions. We explain from the numerical stability perspective how the proposed scheme is more likely to select the true global minimum, and the local convergence analysis perspective how it converges to a minimum faster when compared with the vanilla stochastic gradient descent. Experiments from robust statistics and computational chemistry are provided to demonstrate the theoretical findings.
K-Means Algorithm Implementation for Clustering of Foreign Tourists Visiting

The tourism sector plays an active role in economic growth for a country. Indonesia, which is one of the ASEAN states, shows that the role of tourism is one of the important sectors in the economy in Indonesia. However, the influence of the tourism sector has not been satisfactory for the government. The role of foreign tourist visits affects the economy in Indonesia by increasing foreign exchange for the country. In 2018, foreign exchange from the tourism sector continued to increase by 15.4 percent on an annual basis. However, it is unfortunate that Indonesia is still relatively small compared to other countries in the number of foreign tourist visits. The purpose of this study is to analyze the application of data mining in classifying the number of foreign tourist visits by Indonesia in ASEAN. The grouping is done by applying the K-Means clustering algorithm method. The data are grouped into 3 clusters, namely the high visit cluster (C1), the medium visit cluster (C2), and the low visit cluster (C3). So that the results obtained from the assessment of foreign tourist visits in ASEAN, namely, C1 namely Malaysia, C2 namely Singapore and Indonesia, and C3 namely the Philippines, Thailand, Vietnam, Myanmar / Burma, Brunei Darussalam, Cambodia, and Laos. The results of this study can be seen that Indonesia is in the medium visit grouping (C2). With this data, it can be a reference for the government to improve the tourism sector in visiting foreign tourists in Indonesia.
Effective Use Of Computer Learning In The Culture Of New Norms

Abstract This article will discuss the use of computers in home learning culture. The purpose of this study is to examine the extent of computer mastery skills among students studying at home, especially during the covid19 pandemic. In addition, this study is also to assess computer skills among students in the culture of learning at home. In addition, this study is to examine managing computer efficiency among students during home learning. In addition to researching a home is the need for a computer to help the effectiveness of learning at home. This study is based on field studies such as observations and questionnaires together with 300 respondents as a complement to this study conducted. The results of the study show that the efficiency of computer operating skills among students while studying at home is causing problems to students in adapting to learning life in new norms. The careless attitude that is easily taken by students while attending classroom learning at home causes students to easily drop out of attending home learning classes. Students find it quite difficult to adapt to the new norms of life by staying at home and attending classes at home. Through re-documentation of this study, it is hoped to add more reference sources to researchers in the future.
Too Much Information : Preservation Lab Treatment Report

This is a four-part artist book by local book artist Cecelia Chewning. It is comprised of a figure, an accordion foldout, a stab bound booklet, and a cluster of shredded paper. The unique and fragile components were in need of supports for long-term storage within the same enclosure.
PROBLEMS OF DEVELOPMENT OF CREATIVITY AND ENTREPRENEURIAL ACTIVITY OF A MUSIC TEACHER AND THEIR SOLUTION

The paper deals with the definition of current problems of the development of creativity and entrepreneurship of music education teacher and their solution. Creativity is a phenomenon to which more and more attention is paid, it is a universally applied key competence, according to which, abilities, motivation and environmental influences should be taken into account. It is emphasized that the creativity of a teacher is reflected in his professional activity and has a productive effect on student education and training. New markets need managers and educated teachers with key competencies. Professional activities have a number of functions for the implementation of which business qualities are required. Attention is paid to the main types of entrepre- neurial and pedagogical activities.