Reviewerly/exHarmony huggingface dataset:
Optimasi Desain Ban Tanpa Udara (Non Pneumatic Tire) Dengan Struktur Hexagonal Honeycombs Menggunakan Response Surface Method (RSM)

Non-Pneumatic Tires (NPT) are tires that do not use compressed air like other tires. In this paper, the optimal design obtained is based on the static and explicit dynamic behavior of the NPT construction, which has hexagonal honeycomb spokes. The hexagonal honeycomb type NPT component consists of the hub wheel, outer ring, spokes, and tread. The honeycomb model is made differently based on tread thickness (20 mm, 25 mm, 30 mm), outer ring thickness (0.25 mm, 0.5 mm, 0.75 mm), spokes thickness (3 mm, 5 mm, 7 mm), and the number of spokes holes (12, 13, 14). Based on the simulation results of Ansys and Minitab, the recommended optimal design is 20 mm tread thickness, 3.2 mm spokes thickness, 0.25 mm outer thickness, and the number of holes 12 pieces.
PENGEMBANGAN PERANGKAT PEMBELAJARAN BERORIENTASI MODEL FLIPPED LEARNING PADA MATA KULIAH STATISTIKA

During the COVID-19 pandemic, the government issued a policy to implement online learning. This, of course, causes many problems in universities, one of which is a decrease in the expected competency targets due to the application of monotonous online learning methods. In order to overcome these problems, researchers as lecturers tried to apply an innovative flipped learning model in online learning for statistics courses. This course was chosen as the object of research, because it is often used in completing student thesis, especially in determining the population and sample when distributing questionnaires, the material is quite abstract because it must be supported by examples in everyday life, and the learning implementation plan has not adjusted to the system. online learning. However, to support the implementation of learning methods, especially lipped learning, a special learning device is needed. This research is a development research that aims to produce a product in the form of a lipped learning learning device in statistics course using the ADDIE model. Learning devices with flipped learning models have been successfully developed, and are valid based on expert testing.
IMPROVING STUDENT LEARNING OUTCOMES IN STATISTICS FOR RESEARCH EDUCATION COURSES USING MOODLE PLATFORM DURING PANDEMIC

Currently, the education system is experiencing a situation that requires teachers to be able to master distance learning media, especially during this Covid-19 pandemic outbreak. The distance education system is one of the solutions to overcome difficulties in face-to-face learning with the existence of social distancing rules considering the problems of time, location, distance, and cost which are major obstacles at this time. Moodle is a platform that can be used for distance learning. This study aims to see whether there is an increase in student learning outcomes in studying educational research statistics using the Moodle platform. The type of research is classroom action research with the Pelton model. This research sample is 42 students who take education research statistics courses. The sample data was processed using descriptive statistics taken from student learning outcomes. The results showed that student learning outcomes in studying educational research statistics have increased. The Moodle platform can help students get more learning outcomes, and it is effectively used as a solution in distance lectures. Suggestions for further research are the need for improvisation in using the Moodle platform to maximize its use
SISTEM PAKAR DIAGNOSA PENYAKITAYAM PETELUR MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB

Diseases suffered by laying hens will cause a decrease in egg productivity and cause mass death in some cases. Therefore, an expert system is needed to diagnose laying hens disease which can reduce losses due to slow handling in the disease diagnosis process. In diagnosing laying hens disease, an expert system is needed that can identify the diseases suffered by chickens based on the symptoms that occur. In this problem, the method used is the certainty factor method. In dealing with a problem often found answers that do not have full certainty. Uncertain results are caused by two factors, namely uncertain rules and uncertain user answers to questions posed by the system. Expert systems often analyze available information with phrases such as “possibly”, “likely to bear”, “almost certain”. To accommodate things like this, the certainty factor (CF) method is used to describe the level of expert confidence in the problem at hand. Certainty factor refers to a measure of certainty against a fact or rule. From the results of the diagnosis carried out using the certainty factor method, it shows that the confidence value is above 70%. The certainty factor method is suitable for use in this expert system for diagnosing laying hens.
Recursive Prediction for Lossless Image Compression

This paper introduced an algorithm for lossless image compression to compress natural and medical images. It is based on utilizing various casual fixed predictors of one or two dimension to get rid of the correlation or spatial redundancy embedded between image pixel values then a recursive polynomial model of a linear base is used.&#x0D; The experimental results of the proposed compression method are promising in terms of preserving the details and the quality of the reconstructed images as well improving the compression ratio as compared with the extracted results of a traditional linear predicting coding system.
R-Calculus for Post Three-Valued Description Logic1

R-calculus is a belief revision operator satisfying AGM postulates, and belief revision in ontology engineering is ontology revision, which based logic is description logics. In Post three-valued description logic, a tableau proof system Tt will be given such that Tt is sound and complete for t-satisfiability, and nonmonotonic, that is, a theory Δ is t-satisfiable if and only if Δ is deducible in Tt. Based on the tableau proof system, an R-calculus Rt will be given such that a configuration Δ|C(a) is reducible to C(a),Δ if and only if C(a) is t-satisfiable with Δ, if and only if reduction Δ|C(a) ⇒ C(a),Δ is deducible in Rt.
“...TEACHERS WORK ENTHUSIASTICALLY AND HAVE NO COMPLAINTS...”: ETHNOGRAPH M. N. KHANGALOV IN THE SERVICE OF EDUCATION

The article presents to the reader’s attention the famous scientist-ethnographer Mat-vey Nikolaevich Khangalov as an enthusiastic, talented teacher. The key source for the analysis and description of Khangalov’s activities as the head of the Bilchir School was his diary of 1910–1911. It is divided into three parts: the first is devoted to the description of shamanic rituals, the second is an illustration of school daily routine, the third is a demonstration of fragments of rural life in Bilchir village. The description of school daily routine included various issues of the educa-tional process from problems with the schedule to repair work. Diary shed light on the small number and poor qualification of teachers, the mobility of the quantitative composition of pupils, the constant shortage of educational facilities and their actual unsuitability, which significantly complicated the work of Matvey Nikolaevich. In conclusion, we come to the conclusion that educational activity was M. N. Khangalov’s lifework.
Chaos Engineering of Ethereum Blockchain Clients

In this paper, we present ChaosETH, a chaos engineering approach for resilience assessment of Ethereum blockchain clients. ChaosETH operates in the following manner: First, it monitors Ethereum clients to determine their normal behavior. Then, it injects system call invocation errors into one single Ethereum client at a time, and observes the behavior resulting from perturbation. Finally, ChaosETH compares the behavior recorded before, during, and after perturbation to assess the impact of the injected system call invocation errors. The experiments are performed on the two most popular Ethereum client implementations: GoEthereum and Nethermind. We assess the impact of 22 different system call errors on those Ethereum clients with respect to 15 application-level metrics. Our results reveal a broad spectrum of resilience characteristics of Ethereum clients w.r.t. system call invocation errors, ranging from direct crashes to full resilience. The experiments clearly demonstrate the feasibility of applying chaos engineering principles to blockchain systems.
Access Denied: Protected and Private

When we create classes, we are creating a blueprint for how each instance will operate and the data that it will contain. It also defines the rules for how a programmer can access that data and provide protections for the fields that are inside of it.
A STUDY OF WEB 1.0 TO 3.0

The WWW is more and more used for application to application communication. The programmatic interfaces made available are referred to as web services. Most people today can hardly conceive of life without the internet. The web of documents has morphed into a web of data. The semantic wave embraces three stages of internet growth. The first stage, web 1.0, was about connecting information and getting on the net. Web 2.0 is about connecting people putting the I in user interface, and the we into a web of social participation. The next stage, web 3.0, is starting now. It is about representing meanings, connecting knowledge, and putting them to work in ways that make our experience of internet more relevant, useful, and enjoyable.
Discovering Supply Chain Links with Augmented Intelligence

One of the key components in analyzing the risk of a company is understanding a company's supply chain. Supply chains are constantly disrupted, whether by tariffs, pandemics, severe weather, etc. In this paper, we tackle the problem of predicting previously unknown suppliers and customers of companies using graph neural networks (GNNs) and show strong performance in finding previously unknown connections by combining the predictions of our model and the domain expertise of supply chain analysts.
Foreign and domestic experience of application of blockchain technology in transport and logistics service

The article presents an overview of the practice of using blockchain technology in the process of digitalization of logistics and management of transport and logistics services of leading countries and companies. The advantages of using blockchain technology in the process of supply chain management are analyzed. The main world trends on this issue are considered. The essence of blockchain technology, practice and prospects of its application in the field of transport and logistics services and areas of activity are revealed. Examples of the use of blockchain technology by leading companies are given. The subject of research is the organizational and technological mechanism of interaction of business entities in the process of implementation and application of blockchain technology in supply chain management. It is shown that the integration of key business processes in supply chains today requires adequate information support, which can be provided by blockchain technology by ensuring transparency and traceability of current information, intelligent software and access to the cloud information system and allows the logistics facility to make independent decisions on current logistics operations and the choice of transportation route. It is determined that the blockchain will simplify the procedure of state administration of the supply chain and promote the implementation of state policy aimed at reducing the level of counterfeit products and improving the quality of goods entering the retail network, which directly affects the socio-economic development of regions. The article presents the results of the review of the Ukrainian and foreign scientists and practitioners researches, which made it possible to establish the main directions of the blockchain in transport and logistics service perspectives researches, formulation of principles of the blockchain technologies introduction in logistic activity.
Development of AR + AI Learning Assistant Based on Unity

This article analyzes the research and development process of AR + AI learning assistant based on unity and vuforia, presented in the form of an app, and finally has the function of augmented reality. It can present 3D stereoscopic models and videos through the recognition of flat pictures. And can realize the interactive function such as rotation, zoom.
Implementation of Sentiment Analysis and Classification of Tweets Using Machine Learning

Twitter has turned into a tiny source of dynamic data for blogging places. People post on a wide range of topics and constantly communicate their assumptions, discuss current concerns, and positively review what they use in their daily lives on Twitter wall. The main goal is to assess the emotions expressed in tweets using various machine learning algorithms that identify tweets as positive or negative. If the tweet contains both negative and positive elements, the most dominant component should be chosen as the final component. In tweets, emojis, usernames, and hashtags must be managed and translated into a standard structure. Bigrams and unigrams, for example, must be removed as well. In any case, just relying on a single model, which did not give high accuracy, is taken into account when selecting a model with high precision. To be honest, organizers for these items have begun to investigate these modest internet journals (blogs) in order to get a general sense of their item. They frequently monitor and reply to client comments on smaller websites. One issue is coming up with new ways to recognize and abbreviate a broad sentiment. Several persons, such as Facebook, Twitter, and Instagram, were brought into interpersonal connection stages as recently as last year. Most people use social media to convey their feelings, ideas, or assumptions about objects, places, or people. Strategies Twitter, a micro-blogging platform, is a massive repository of public opinion for a variety of people, offers, businesses, and products, among other things. The public analysis system evaluations are known as sentiment assessment. Combination of sentiment analysis on Twitter give valuable context to what's being said on Twitter. The wide availability of internet exams and social media postings the media provides critical criticism to organizations in order to improve expert options and steer their marketing tactics to leisure and user selections. As a result, social media plays a key role in influencing the public's perception of the services or products chosen. The numerous tactics utilized for product classification critiques are highlighted in this study (which may be in the form of tweets) Tweet complaints to see if mass behaviour is positive, negative, or neutral. Analysis of the Product Market. The information used here comes from our Twitter product reviews, which were used to categorize opinions as satisfying.
JPEG Image Compression by Applying Discrete Cosine Transform (DCT): A Review Paper

The new research in the domain of image compression has increased dramatically due to the growing requirements for image transmission in computers and mobile environments. In digital image processing, image compression plays a crucial role and is also very critical for efficient image transmission and storage. We notice that image compression is necessary when we measure the number of bits per image resulting from standard sampling rates and quantization methods. The creation of effective image compression techniques has therefore become important.This paper provides a comprehensive survey on Discrete Cosine Transform (DCT) lossy image compression, which covers the JPEG compression algorithm used for full-color still image applications and explains all of its components.Image compression is one of the picture processing techniques. Image compression has many uses and plays an important role in transmitting and storing images efficiently. The goal of image compression is to reduce the redundancy of image data in order to store or transfer only a minimum number of samples.
Financial risk assessment on Chinese Enterprises’ overseas investment in the post epidemic Era based on text analysis and factor analysis

The COVID-19 in 2020 precipitating global economy makes the problems of geopolitics and protectionism more significant, economy development among host countries is imbalance, and the investment enterprises in the post epidemic era face various risks. The paper based on text analysis adopts factor analysis method to construct finance risk assessment index system and gives an assessment on finance risk of overseas investment countries as well as reasonable advices after analysis. © ISPM 2021.All right reserved.
Unique Games hardness of Quantum Max-Cut, and a vector-valued Borell's  inequality

The Gaussian noise stability of a function $f:\mathbb{R}^n \to \{-1, 1\}$ is the expected value of $f(\boldsymbol{x}) \cdot f(\boldsymbol{y})$ over $\rho$-correlated Gaussian random variables $\boldsymbol{x}$ and $\boldsymbol{y}$. Borell's inequality states that for $-1 \leq \rho \leq 0$, this is minimized by the halfspace $f(x) = \mathrm{sign}(x_1)$. In this work, we generalize this result to hold for functions $f:\mathbb{R}^n \to S^{k-1}$ which output $k$-dimensional unit vectors. Our main result shows that the expected value of $\langle f(\boldsymbol{x}), f(\boldsymbol{y})\rangle$ over $\rho$-correlated Gaussians $\boldsymbol{x}$ and $\boldsymbol{y}$ is minimized by the function $f(x) = x_{\leq k} / \Vert x_{\leq k} \Vert$, where $x_{\leq k} = (x_1, \ldots, x_k)$. As an application, we show several hardness of approximation results for Quantum Max-Cut, a special case of the local Hamiltonian problem related to the anti-ferromagnetic Heisenberg model. Quantum Max-Cut is a natural quantum analogue of classical Max-Cut and has become testbed for designing quantum approximation algorithms. We show the following: (1) The integrality gap of the basic SDP is $0.498$, matching an existing rounding algorithm. Combined with existing approximation results for Quantum Max-Cut, this shows that the basic SDP does not achieve the optimal approximation ratio. (2) It is Unique Games-hard (UG-hard) to compute a $(0.956+\varepsilon)$-approximation to the value of the best product state, matching an existing approximation algorithm. This result may be viewed as applying to a generalization of Max-Cut where one seeks to assign $3$-dimensional unit vectors to each vertex; we also give tight hardness results for the analogous $k$-dimensional generalization of Max-Cut. (3) It is UG-hard to compute a $(0.956+\varepsilon)$-approximation to the value of the best (possibly entangled) state.
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment.

This paper proposes a method for prioritizing the replay experience referred to as Hindsight Goal Ranking (HGR) in overcoming the limitation of Hindsight Experience Replay (HER) that generates hindsight goals based on uniform sampling. HGR samples with higher probability on the states visited in an episode with larger temporal difference (TD) error, which is considered as a proxy measure of the amount which the RL agent can learn from an experience. The actual sampling for large TD error is performed in two steps: first, an episode is sampled from the relay buffer according to the average TD error of its experiences, and then, for the sampled episode, the hindsight goal leading to larger TD error is sampled with higher probability from future visited states. The proposed method combined with Deep Deterministic Policy Gradient (DDPG), an off-policy model-free actor-critic algorithm, accelerates learning significantly faster than that without any prioritization on four challenging simulated robotic manipulation tasks. The empirical results show that HGR uses samples more efficiently than previous methods across all tasks.
The Effect of Digtogloss Technique on Students’ Writing Skill

Writing is one of the language skills that is considered hard to master by students. Based on the preliminary research that was done at Mtsn 8 Aceh Besar, it revealed that the students’ average score in writing were still low. Therefore, in order to help students to improve their writing skill, dictogloss technique which was introduced by Wajnryb in 1990 is claimed as a technique which gave good effect on students’ writing skill. The objective of this research is to find out the effect of dictogloss technique on students’ writing skill using library research as the method of the research. Thus, the data was collected from previous studies related to dictogloss technique and paraphrased to get information about dictogloss technique. Based on the result of this research, it showed that dictogloss technique had positive effect on students’ writing skill. Moreover, several studies revealed that the students gave positive attitudes towards the use of dictogloss technique. In addition, dictogloss technique also encouraged and motivated students during the process of teaching and learning.
The twentieth century science paradoxes

The isolation of hypothetical theories from the realities of living matter has caused mysticism to penetrate scientific theories. With mystical thinking, the idea of using an analytical method to solve cognitive problems does not occur. Dialectical logic, in contrast to mysticism, states the opposite: any problematic tasks of cognizing the vital processes and phenomena of the universe are solvable exclusively in an analytic way, with the only method. The author created a universal and formal theory of solving intellectual (i.e., having no previously known algorithms for solving) problems associated with the knowledge of the vital functions of natural and man-made processes in any phenomena of the universe - the Kondratenko method of axiomatic modeling, the effectiveness of which is achieved by correctly setting the problem and solving it purely formal method. The correctness of the statement of the problem means, first of all, the recognition of the failure of all hypothetical (not confirmed by the results of full-scale experimentation with the subject of knowledge) theories. This requirement, in particular, to the mathematical tools used to solve problems of cognition, it revealed paradoxes in the foundations of mathematics, which are discussed in the article.&#x0D; At present, in the natural and applied sciences in most publications, i.e. more than 90% associated with the construction of formal theories in these sciences, the proof of theorems is carried out:&#x0D; firstly, in a meaningful way, which contradicts the urgent requirement of philosophers of science to use exclusively formal evidence, which is a criterion for assessing the correctness and reliability of evidence;&#x0D; secondly, in substantive evidence in 95% of cases, an exclusively standard list of tautologies is used, which by definition is incorrect for the purpose of proving theorems on phenomena and processes of the universe based on exclusively true axioms obtained as a result of full-scale experimentation with these phenomena and processes. The article deals with the paradox in the classical approach to proving theorems, which consists in the inappropriateness of generally accepted stereotypical tautologies of classical mathematics for proving theorems.