Reviewerly/exHarmony huggingface dataset:
Fidelity-based Deep Adiabatic Scheduling

Adiabatic quantum computation is a form of computation that acts by slowly interpolating a quantum system between an easy to prepare initial state and a final state that represents a solution to a given computational problem. The choice of the interpolation schedule is critical to the performance: if at a certain time point, the evolution is too rapid, the system has a high probability to transfer to a higher energy state, which does not represent a solution to the problem. On the other hand, an evolution that is too slow leads to a loss of computation time and increases the probability of failure due to decoherence. In this work, we train deep neural models to produce optimal schedules that are conditioned on the problem at hand. We consider two types of problem representation: the Hamiltonian form, and the Quadratic Unconstrained Binary Optimization (QUBO) form. A novel loss function that scores schedules according to their approximated success probability is introduced. We benchmark our approach on random QUBO problems, Grover search, 3-SAT, and MAX-CUT problems and show that our approach outperforms, by a sizable margin, the linear schedules as well as alternative approaches that were very recently proposed.
Inactive Archive Storage System at the Archival Service Record Center and the Bekasi District Library

This study aims to determine: Describe how the dynamic inactive archive storage system at the Bekasi District Archives and Record Center Service Center, Describe the obstacles faced in the inactive dynamic archive storage system at the Record Center of the Archives Service and Bekasi District Library. The research methods I use are: Data collection methods used are interviews, observation, literature study. In this study the authors analyzed the data descriptively, which is describing the object's surroundings in part at a time. Inactive Storage Systems include: Types of Inactive Records, Inactive Records Storage Systems, Inactive Records Storage Procedures, Principles of Storage, Maintenance of Inactive Records. Constraints encountered in the inactive archive storage system include: File is not managed, there is no list of files on the processing unit, inadequate facilities.Research has concluded that the inactive archive which is on the records center for the archive service and bekasi district library has not been consistent with the general requirements that refer to the preferred standard of procedure Numbers 045/ARPUS-007/R.00/2017 Inactive archive transfer. The inactive archive archive record center and bekasi county library have largely matched the soup (standard operational procedure). A good storage system would facilitate the rediscovery of files on existing office activities. The archive and bekasi county library service have followed current inactive storage procedures. Record the archive service center and the bekasi county library already followed the current inactive storage procedures. The principle used in the kearns service and bekasi county library is to use the centralized principle, Evidenced by the existence of record room central to the central archive. Archivist service record center and bekasi county library have not yet been fully carried out according to the archivist maintenance schedule.
PENGARUH KUALITAS PENGGUNAAN KOMPUTERISASI TERHADAP DATA ADMINISTRASI SEKOLAH DI SMA NEGERI 7 KERINCI

The quality of the process of the data Administration determined by the staff that of the offort that have the role of a very large in achieving the process and objectives of education. Data quality administration can be used as a reject progression of success in the administration at the school and can also shows the quality of as well as the quality of education in the school, in connection with this is the problem is still low data quality administration at SMAN 7 Kerinci. The goal of who wants tobe achieved in this study is to find out if there’s the influence of the quality the us of technology computerized against the data the administration of the school at SMAN 7 Kerinci. The Hipotesa in this research is : the influence of the quality the use of technology computerized concerning the data administration at SMAN 7 Kerinci. The population of this research is : the teachers and educators (GTK) SMAN 7 Kerinci amounted to 66 peoples, white samples taken use a technique cluster random sampling as much as 66 people. The collecting data in this research is giving in quiries questioner data. Based on the test hipotesa abtained the conclusion that : there is the influence of the quality the use of technology computerized against the data administration of the school at SMAN 7 Kerinci.
TEACHING READING RECOUNT TEXTS THROUGH TRI FOCUS STEVE SNYDER TECHNIQUE

The main problem of this study was “Was there any significant difference between the students who were taught reading recount texts through tri focus Steve Snyder to the tenth grade students of State Senior High School 12 Palembang and those who were not?”. This study applied a Quasi-Experimental design. The population in this study was all the tenth grade students and the sample consisted of 36 students which were taken by using purposive sampling. To analyze the data, the writer used independent sample t-test by using SPSS 23. The result of this study showed that the experimental group students’ average score in pre-test was 60.69, and in post-test it was 78.19 while the control group students’ average score in pre-test was 60.14 and in post-test was 68.68. From the t-test calculation, it was found that t-obtained value was 4.099 and the value of t-table was 1.994 with significance level 0.05 with df 70 for two tailed test. Since the t-obtained was higher than t-table, 4.099 > 1.994, it meant that the Null hypothesis (Ho) was rejected and Alternative hypothesis was accepted. It could be interpreted that there was a significant difference between the students who were taught reading recount texts through tri focus Steve Snyder to the tenth grade students of State Senior High School 12 Palembang and those who were not.
LibGuides: Open Access for ERGs: Home

Open access/open education resources aimed at Los Alamos National Laboratory's many employee resource groups (ERG).
PROSPECTS FOR THE DEVELOPMENT OF INCLUSIVE EDUCATION

The article discusses the problems associated with inclusive education in the Samara region. Practical recommendations are being developed for introducing inclusive education using the example of Samara State University of Economics
Analisis Kualitas Pelayanan Jasa Jaringan Internet dengan Menggunakan Metode Kano untuk Meningkatkan Kepuasan Pelanggan Pada PT Eka Mas Republik Bandung

This study aims to determine the quality of internet network services provided by PT Eka Mas Republik to the customers and determine which attributes need to be prioritized for improvement or repair. This study uses the Kano diagram method by distributing functional and dysfunctional questionnaires to 100 customers of PT Eka Mas Republik. The results show that the service quality of PT Eka Mas Republik is currently not optimal, based on the Kano diagram method, each indicator has a different service category, there are 18 attributes in category M (Must Be), 6 attributes in category A (Attractive), and 3 attributes in category O (One-Dimensional).
Face Recognition using Color and Edge Orientation Difference Histogram

Face recognition is a challenging problem because of different illuminations, poses, facial expressions, and occlusions. In this paper, a new robust face recognition method is proposed based on color and edge orientation difference histogram. Firstly, color and edge orientation difference histogram is extracted using color, color difference, edge orientation and edge orientation difference of the face image. Then, backward feature selection is employed to reduce the number of features. Finally, Canberra measure is used to assess the similarity between the images. Color and edge orientation difference histogram shows uniform color difference and edge orientation difference between two neighboring pixels. This histogram will be effective for face recognition due to different skin colors and different edge orientations of the face image, which leads to different light reflection. The proposed method is evaluated on Yale and ORL face datasets. These datasets are consisted of gray-scale face images under different illuminations, poses, facial expressions and occlusions. The recognition rate over Yale and ORL datasets is achieved 100% and 98.75% respectively. Experimental results demonstrate that the proposed method outperforms the existing methods in face recognition.
Best Computer For Programming

Having the right laptop for your programming needs, and coding those beautiful apps and programs can be fun. As you will effortlessly run through your ...
임진왜란 시기 남원(南原) 소재 명군 유적과 작품 고찰

This study collected and analyzed the works and remains related to Ming soldiers(明軍) in Namwon(南原) province during the Imjin War(the Japanese invasion in 1592~1598; 壬辰倭亂).Namwon was one of the fierce battlefields during the Imjin War. Many Ming soldiers were stationed in Namwon, and they used Namwon as a gateway of transportation from the beginning of the war. A lot of records on Ming soldiers are found in the literature, and some remains of Ming soldiers are still discovered to this date, if not many.There are some places related to Ming soldiers such as Yongseonggwan(龍城館), Sayeongru(四詠樓), Gwanghanru(廣寒樓), Yeongsajeong(永思亭), Yongdujeong(龍頭亭), Jogi(釣磯), Yongtusan(龍鬪山), Cheonsadae (天使臺), Jeojeonsan(猪轉山), Cheonsabong(天使峰), Dundeok(屯德) Kim Bokheung House(金復興宅), Yeowonchi(女院峙), and Gwanwangmyo(關王廟), etc. The records are largely classified into the thoughts that they felt while performing national affairs, the longing for their hometowns, the impressions of Joseon people, and their military activities.The records and remains are all our valuable cultural heritage. Therefore, it is necessary for us to pay more attention to these and to actively utilize them as resource.
Investigating the Performance of Deep Learning in Detecting Phishing Website

This project investigates the performance of deep learning in detecting the phishing websites. Phishing website is one of the security threats in the Internet that can disturb any web services. The phishing websites aim to steal user’s information, such as usernames, passwords, credit cards including financial details. It is very difficult to identify the difference between phishing and legitimate website. Therefore, the purpose of this project is to investigate the performance of machine learning in classifying the phishing website by using a deep learning model. The deep learning algorithm to learn the URL features identified in the dataset during the training process. The other purpose is to analysis the performance of the technique and model in term of accuracy, precision and recall. The result was compared between the other two classification models which is Random Forest and Decision Tree. The result of accuracy achieved for deep learning model is higher than the other models. The result from this project shows that the model and technique proposed outperforms in terms of accuracy and low error rate.
In-Loop Meta-Learning with Gradient-Alignment Reward.

At the heart of the standard deep learning training loop is a greedy gradient step minimizing a given loss. We propose to add a second step to maximize training generalization. To do this, we optimize the loss of the next training step. While computing the gradient for this generally is very expensive and many interesting applications consider non-differentiable parameters (e.g. due to hard samples), we present a cheap-to-compute and memory-saving reward, the gradient-alignment reward (GAR), that can guide the optimization. We use this reward to optimize multiple distributions during model training. First, we present the application of GAR to choosing the data distribution as a mixture of multiple dataset splits in a small scale setting. Second, we show that it can successfully guide learning augmentation strategies competitive with state-of-the-art augmentation strategies on CIFAR-10 and CIFAR-100.
Construction Method of Equipment Support Simulation Rules Based on Semantics

Simulation rules play a fundamental role in equipment support simulation. In this paper, a semantic tool based on SWRL rules is used to integrate the data related to equipment support simulation, and a semantic based equipment support simulation rule environment is established.
DESAIN PEMBELAJARAN MENGGUNAKAN TEKNOLOGI INFORMASI DENGAN PENDEKATAN KONSTRUKTIVISTIK (BLENDED LEARNING)

The development of an increasingly advanced era makes the community order must follow the developments of that era. The world of education is also one that must keep up with the times. If you cannot keep up with the times, the world of education will be left behind from the outside world which has developed so rapidly. One of the developments in the world of education at this time is the emergence of E-learning and Constructivism learning designs that explore the potential, abilities and insights of students in a broad and structured manner through Blended Learning. The method used in this writing is literature study by using several articles as material to create new articles. In this study, the authors write by referring to several articles that have been reviewed. Results The use of learning designs that combine face-to-face learning methods using IT becomes an alternative when many students feel bored with existing learning designs. Face-to-face learning systems that have changed from traditional (lectures) to more modern, namely a constructivist approach. The use of the Blended Learning method which combines Constructivism Learning with E-Learning makes the teaching and learning process run better and optimally
Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization

In offline reinforcement learning (RL), we attempt to learn a control policy from a fixed dataset of environment interactions. This setting has the potential benefit of allowing us to learn effective policies without needing to collect additional interactive data, which can be expensive or dangerous in real-world systems. However, traditional off-policy RL methods tend to perform poorly in this setting due to the distributional shift between the fixed data set and the learned policy. In particular, they tend to extrapolate optimistically and overestimate the action-values outside of the dataset distribution. Recently, two major avenues have been explored to address this issue. First, behavior-regularized methods that penalize actions that deviate from the demonstrated action distribution. Second, uncertainty-aware model-based (MB) methods that discourage state-actions where the dynamics are uncertain. In this work, we propose an algorithmic framework that consists of two stages. In the first stage, we train a policy using behavior-regularized model-free RL on the offline dataset. Then, a second stage where we fine-tune the policy using our novel Model-Based Behavior-Regularized Policy Optimization (MB2PO) algorithm. We demonstrate that for certain tasks and dataset distributions our conservative model-based fine-tuning can greatly increase performance and allow the agent to generalize and outperform the demonstrated behavior. We evaluate our method on a variety of the Gym-MuJoCo tasks in the D4RL benchmark and demonstrate that our method is competitive and in some cases superior to the state of the art for most of the evaluated tasks.
CREATION OF MULTIMEDIA ELECTRONIC EDUCATIONAL METHODOLOGICAL COMPLEXES FOR THE COURSE OF INFORMATICS

The article gives a definition of the educational-methodical complex (TMC) as one of the types of electronic textbook of modern computer teaching aids, considers the main functions that must be solved by the TMC in the discipline Informatics for students of the direction of Preschool education, and also suggests the main stages of its application.
From Frequencies to Vectors

This chapter investigates early attempts in information retrieval to tackle the full text of document collections. Underpinning a large number of contemporary applications, from search to sentiment analysis, the concepts and techniques pioneered by Hans Peter Luhn, Gerard Salton, Karen Spärck Jones, and others involve particular framings of language, meaning, and knowledge. They also introduce some of the fundamental mathematical formalisms and methods running through information ordering, preparing the extension to digital objects other than text documents. The chapter discusses the considerable technical expressivity that comes out of the sprawling landscape of research and experimentation that characterizes the early decades of information retrieval. This includes the emergence of the conceptual construct and intermediate data structure that is fundamental to most algorithmic information ordering: the feature vector.
The Effect of Safety and Health Culture on the Certification of Occupational Health and Safety Management System

Purpose : This study was conducted to contribute to the correct settlement of OSHMS certification by analyzing how the safety and health culture of electronic industry is affecting OSHMS certification. Methods : This study surveyed 714 electronics industry company sites nationwide. Results : It turns out that the possibility of certification of the safety and health management system is high in the following cases. In the case of having qualifications related to the relevant field, and then the total number of workers is 20 or more, and When it comes to the safety and health culture, it's every single point up from five. Conclusion : Ability to specialize in safety and health is required. It suggests that the company should come up with measures to promote the need and effectiveness of OSHMS certification for company sites with less than 20 employees, and to raise the attention of CEO that showed the most significant differences in sub-regional items of safety and health culture in order to improve the safety and health culture.
Peter J. Burke and Jan E. Stets on Self and Identity

Jonathan Turner responds to Peter J. Burke and Jan E. Stets’ previous chapter and development of models to explain the dynamics of fundamental and generic properties of the social universe and state arguments as propositions or hypotheses in empirical research.
Bare Minimum Online Class

The outbreak of COVID-19 in Indonesia brings larger-scale social restriction, impacting educational institutes in carrying learning activities.Recent trends in Japanese language learning research in vocational training institutes lean toward the learning style before the pandemic, which is heavily oriented to support face-to-face meetings.Topic about how vocational training institutes conduct learning activities as an adjustment to the pandemic is not yet broadly examined.This article aims to examine the implementation of Japanese Language online learning for the engineers in a vocational training institute LPK Mulia Meisou Indonesia Bandung (LPK MMI), which focuses on 1) how online learning is being implemented in this institute and 2) how the students respond the implementation of this online learning.Through the teacher's note and student's survey from LPK MMI's Engineer Special Class.The findings showed that it was possible to establish a simple online learning management system and implement synchronous and asynchronous learning by utilizing the bare minimum application and free platforms such as LINE, Whatsapp, and Google Classroom.The students perceived that utilizing those applications as online learning tools was somewhat sufficient to help them study at home.There was interest in alternative applications such as Zoom, Google Meet, Wideboard, or Microsoft Teams to be implemented as online learning tools.However, there were also concerns regarding these tools to be useful when the cellular signal was unstable and cellular data also limited.Thus, utilizing the most common application for both students and teachers and utilizing the free platform could be a good option for conducting online learning for those who have limited resources.
The Study of Criminal Lingo Analysis on Cyberspace and Management Used in Artificial Intelligence and Block-chain Technology

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for “cyber harem area”.
DEVELOPING A PROTOTYPE OF WEBQUEST FOR TEACHING WRITING RECOUNT TEXT TO THE TENTH GRADERS IN SMAN 1 SINGOSARI

The purpose of the study is to develop a prototype of WebQuest for teaching writing recount text to the tenth graders of senior high school. The design of the study is a modified Hyland (2003) Research and Development model, which includes: 1) a need analysis; 2) product development; 3) expert validation; 4) first revision; 5) product try-out; 6) second revision; and 7) final product. The researcher develops the prototype based on the data analysis taken from need analysis. The prototype was validated by experts and tried-out to the tenth graders of Ilmu Bahasa dan Budaya in SMAN 1 Singosari. The prototype of the development is in the form of web-based materials about biographical recount text which covered seven stages: 1) introduction; 2) task; 3) process; 4) evaluation; 5) conclusion; 6) resources; 7) teacher page. The result reveals that the prototype of WebQuest is suitable for teaching writing recount text.
副詞｢たしかに｣の二つの機能 －形容詞から副詞へ－

This paper focuses on the features of the Japanese adjective “tashika-da” and the differences between two types of adverb “tashika-ni”.The adjective “tashika-da” changes its form to “tashika-na” as an adnominal, “tashika-da” as a predicate, and “tashika-ni” and “tashika” as an adverb, according to the function used in the sentence. When acting as an adjective, “takashi-da/na” has the original and lexical meaning which means /sure, certain/.The adverb “tashika-ni”has two types of usage. The one is called adverb of manner and the other is modal adverb. An adverb of manner “tashika-ni” occurs in front of a verb phrase and describes an event of the sentence in more detail, maintaining its lexical meaning of “surely, certainly”. On the other hand, a modal adverb “tashika-ni” is placed in the beginning of the sentence modifying a speaker’s mood, whereas it loses the lexical meaning /surely, certainly/ and the function of agreement works stronger. And also, a modal adverb “tashika-ni”can be used as a one word, expressing speaker’s agreement on a listener’s judgement.