Reviewerly/exHarmony huggingface dataset:
An Open Digitization Tool for Extracting Scientific Curve Data in Portable Documents

Extracting original data in scientific figures embedded in documents precisely and efficiently remains a challenge, especially when it needs to be performed in high throughput way. To solve the automatic curve recognition problem, this paper proposes an integrated tool for extracting digital data from curve figures in portable documents, which mainly consists of picking/recognition/summary parts. During each extracting process, trained neural network firstly picks up figure pieces; the X-Y axes are then located by horizontal and vertical image projection and their labels are read using character recognition, which is followed by curve data recovery point by point; and finally the recognition result are summarized and sent back to the requester. This open tool is accessible and testable by anyone around the world via email, with open source on Github.
SCIENTIFIC DEVICES AND INSTRUMENTS AS A SPECIAL KIND OF ARTIFACTS

The history of artifacts (human-made objects) is as great as the history of mankind. Among the wide variety of artifacts, tools occupied an important place from the very beginning and, somewhat later, instruments. The development of society has always been accompanied by the need to increase the capabilities of these artifacts and their complications. All artifacts of this kind are extrasomatic organs — addition to bodily and mental organs — they are tools created to increase the ability to solve certain problems. With the development of technology, their capabilities have become so great that the question has arisen whether they exceed the capabilities of the human brain. This question is especially relevant for these kinds of tools that are created to assist the brain — self-learning computer programs of artificial intelligence. To understand this, one needs to turn to the origins of science, back to the day when the foundations of methodology and general principles for obtaining a mental product were laid. This result has a peculiarity: it is often perceived anthropomorphically, transferring the properties of the experimenter to the result of his activity. This is especially true for complex devices and instruments. The article shows the nature of the relationship between a person and an instrument as his artificial extrasomatic organ.
The Design of Emoticon-Generating Device Based on Artificial Neural Network

Along with the rapid development of the new internet media, people’s lives are becoming increasingly digital, information is diversified, and communication methods have undergone significant changes. “Emoticon pack,” as a kind of visual symbol that was generated and developed in the context of the internet, can use nonverbal symbols such as words, images, symbols, and other nonverbal symbols to simulate expressions, posture, and movements and a new expression and cultural phenomenon. In this study, the principle of neural network optimization is analyzed by applying the particle swarm algorithm, incorporating the harmonic search algorithm to neural network optimization, and the principle of neural network optimization is analyzed. This study is aimed at college students, investigating the consumption status of emoticon packs and the consumption amount of emoticon packs for men and women; among them, people who only use free emoji packs and those who only use emoji packs under 10 yuan account for the highest proportion, accounting for 73.07% and 22.41% of the surveyed people. Among the people who buy emoticons, boys are more likely to have large consumption behaviors than girls. In the consumption segment below ten yuan and above 150 yuan, the ratio of men to women is the same; in the consumption range of 11–50 yuan, the number of girls exceeds than that of boys, accounting for 70% of the number; however, in the consumption range of 51 yuan to 150 yuan, the proportion of boys surpassed than that of girls and the number of consumers accounted for more than 60%.
Penerapan Metode K-Means Dan Apriori Untuk Pemilihan Produk Bundling

The decision support system is very influential on the company's strategy in deciding a recommendation program that can overcome sales competition that changes according to trends every time and the impact of the Covid-19 pandemic has resulted in a drastic decline in sales and consumer attractiveness in the period January - March 2020, this is a a warning and a threat to the company that sales competition is getting bigger. PT. MSD is a distributor of kitchen utensils and middle-up fashion products from various well-known brands such as Jansport, Butterfly Twist, Thermos, Serena, Bodum, Arcoroc Luminarc and so on. Sales competition factors and the impact of the Covid-19 pandemic outbreak faced by PT. MSD triggers the company to prepare a new sales program with a product bundling strategy as an innovative promotion. The application of the K-Means and Apriori methods to the product bundling strategy was obtained from the results of Market Basket Analysis and sales data of PT. MSD to produce selected product recommendations that are clustered systematically and measurably so that PT. MSD can increase sales and consumer attractiveness with a choice of recommended products that consumers need.
TRRScope: Understanding Target Row Refresh Mechanism for Modern DDR Protection

Advanced DDR memories are widely used in almost all electronic devices and computing systems. Therefore, Rowhammer attack, a hardware-based attack targeting DDR memory, severely threatens data security and privacy in modern computing systems. Among existing solutions, the leading and most effective example is the Target Row Refresh (TRR) mechanism. TRR is proposed as the standard protection mechanism by JEDEC [1] and is widely used in DDR4 memory. As a protection scheme, TRR will refresh the victim row once a Rowhammer attack is detected. However, recent work such as TRRespass [2] shows that TRR can be bypassed and Rowhammer attack is still possible even on the latest DDR4 memory. While it is still believed that TRR-like protection mechanisms are promising solutions against the Rowhammer attack, it becomes an urgent task to improve the security of TRR mechanisms. However, TRR implementation details are proprietary to the DDR4 manufacturers. In order to better understand TRR protection mechanisms and help improve the TRR implementation, in this paper, we propose a novel timing side-channel based reverse engineering method to understand the underlying mechanisms of TRR. We then thoroughly analyze different implementations which are integrated into various DDR4 memory chips from different manufacturers. With experimental results collected from a range of DDR4 memory chips, we prove the effectiveness of the proposed TRR recovery mechanism.
Adaptive Changes in the Psyche of Homo Sapiens during the Period of the Singularity (Part 3)

Personal constitutional and acquired predispositions form preferences in the vectors of perception of information (cultural) sentences of the environment. On these vectors, contextual factors are formed that affect the processing of incoming information, the formation of representations and images, which determine the interpretation of lexical signs. Multiplication of contexts creates metacontexts that define the boundaries of virtual reality. One of the design features of Clip thinking (ClipT) is the formation of metacontexts by external structures: network associations. The metacontexts of ClipT form a new structure of communicative experience that changes the self-identification and socialization of the subject, causing a state of dependence. ClipT has significant similarities with hieroglyphic thinking (HieT), which consists of quantized combinations: image + sense + emotion + tone. Hieroglyphics (thinking and writing) have a metacontext nature, being a formation of an ethnic scale. According to some structural parameters, KlipT and HieT are similar to the level of identity. Fundamental factors are the external genesis of metacontexts; the imagery of thinking; elimination of causal relationships and abstraction; visual "receiving-transmission" of the sense of the perceptual image, including the graphic image; rigidity of mental and behavioral structures; embedded experience; etc. The integral structure of a legitimizing nature (HieT + writing + language + metacontext continuum (ethnocultural matrix)) forms a parametrically conjugated social structure derived from it. A monolithic socio-cultural conglomeration with a self-reproduction mechanism is created. We believe this principle is universal, with the possibility of extrapolation to any socio-cultural structure. Currently, the HS population is in a state of forming a universal cultural matrix with the potential to replace ethnocultural matrices. ClipT—the new operating system of the psyche—defines and unifies the transformation of ethnocultural matrices with the vector of universalization. The significant similarity of hieroglyphics with the parameters of ClipT contains the extrapolation potential of modeling (sociological and mathematical) the expected ethnic/universal dynamics of conglomeration: ClipT (psyche as a whole) and congruent social construction. The identity points of ClipT and HieT can find application in the constructions and artificial intelligence learning, as reference points of operating systems of thinking and language, in the structure of which there are no algorithms for cause-effect relationships, analysis, feedback, abstract thinking, and classification structures dominate.
Trajectory Based Location Prediction and Enriched Ontological User Profiles for Efficient Website Recommendation

The spread over of huge amount of information in the vast area of internet makes difficult for the users to obtain the search items that are relevant to them. The adoption of web usage mining helps to discover the accurate search results that satisfy their requirements. To fulfill their need, it is necessary to know their preferences of search at various contexts. In general, the user profiles are used to determine the taste of the users. The traditional method of user profiling does not provide a complete detail regarding their search. In addition, the search preference of the individuals varies in accordance with time and location. The user profiles do not update the dynamic location changes of the users. The traditional location based recommendation systems suggest the search results based on their location to compensate the dynamic preferences of the users. The drawbacks of the conventional systems are resolved by the Location and User Profile (LUP) based recommendation system. To attain a higher user satisfaction by providing accurate search results, a trajectory based location prediction and enriched ontological user profiles to recommend the appropriate websites to the users is proposed in this paper. In this article, we suggest a novel method for predicting the location of a user’s profile using Semantic Trajectory Pattern (STP), based on both the place and semantic features of user trajectories. Our prediction model ‘s central concept is based on a novel cluster-based prediction approach that evaluates the location of user search data based on the regular activities of related users in the same cluster, calculated by evaluating the typical behavior of users in semantic trajectories. The combination of location information along with enriched ontological user profiles improves the efficiency of the proposed web recommendation system. The experimental results are evaluated using recall, precision and F-measure metrics.
DEVELOPING ENGLISH READING MATERIAL BY USING GENRE BASED APPROACH FOR GRADE X OF BEAUTY PROGRAM AT SMK PARIWISATA IMELDA MEDAN

The aim of this study was to (1) find out the learning needs of X grade of Beauty Program students at SMK Pariwisata Imelda Medan in improving their reading skills, (2) develop relevant reading materials by using Genre Based Approach for X grade students of Beauty Program at SMK Pariwisata Imelda Medan. This research was conducted by using Research and Development which is adapted from Borg, Gall and Gall (2003). The data was taken from the observation, questionnaires, and interview. The materials were validated by an English lecture and an English teacher by using validation sheets which is adapted from BSNP. The data were collected by using descriptive analysis. The result of this study shows that: (1) the existing materials do not support the students major because the topics of the materials are still general, (2) relevant reading materials are needed by students in vocational school especially in Beauty Program. These materials were developed by using Genre Based Approach, (3) the developed reading materials by using Genre Based had been validated with the score 3.69 from expert 1 and 3.83 from expert 2 which is in the range of 3.25 &lt; ≤ 4.00. These materials have been developed in accordance to the students’ need by using Genre Based Approach.Keywords: English reading materials, Genre Based Approach, Vocational High School
A Unified Framework for Encryption and Decryption of Images Based on Autoencoder (UFED)

Over the last decade, many disciplines have made great strides in deep learning technologies, especially in computer vision and image processing. However, video coding based on deep training is still in its initial stage. This research work discusses the representative's work on deep learning for image/video coding, a research area since 2015. With the number of devices increasing on the Internet, we face low-cost transmission over a network and security and safety. We can't determine the accurate data size with encryption and decryption cost and amount of noise in communication. Our proposed unified framework for encryption and decryption of images based on an autoencoder (UFED) can control the cost during encryption and decryption using modern techniques like deep learning and neural network. The Autoencoder is worked as close to CNN and is trained on images and video frames to extract the image's feature. In this framework, the encoder changes the image into latent space or compressed form in a small size. We achieved the best image-compression ratio with Autoencoder over JPEG; JPEG typically achieves 10:1 compression with little perceptible loss in image quality. This research observed the accuracy of image reshaping from latent space as well. We have achieved over 97.8% accuracy on the standard quantity evaluation measure in our proposed deep learning technique, far better than previously implemented models.
TEACHERS’ EXPERIENCES REFLECTED IN THEIR TEACHING OF DESCRIPTIVE TEXT TO GRADE VIII STUDENTS OF SMPN 2 MEDAN

The study was aimed to see whether teachers’ experiences are reflected in teaching descriptive text to grade VIII students of SMPN 2 Medan or not. This study was conducted by using descriptive qualitative method through a collection of techniques used to specify, delineate, or describe naturally occurring phenomena without experimental manipulation. The data were gathered by administering interview to three English teachers with different years of experience and observing their teaching of descriptive text during a classroom session. The observation and interview result proved that the three English teachers did not reflect their teaching experience when teaching descriptive text to the students. The reason why the three English teach descriptive text in the ways they do varied from one to the other.Keywords: Experience, Descriptive Text, Qualitative Descriptive Research
TEACHER’S STRATEGIES IN TEACHING LISTENING COMRPEHENSION AT SMK BINA BERSAUDARA MEDAN

TEACHER’S STRATEGIES IN TEACHING LISTENING COMRPEHENSION AT SMK BINA BERSAUDARA MEDAN *Nadiatul Hasanah **Rika ABSTRACT Hasanah, Nadiatul. Registration Number: 2163321031. Teacher’s Teaching Strategies In Teaching Listening Comprehension At SMK Bina Bersaudara Medan. English Educational Program, Universitas Negeri Medan, 2020 This study aims to find out the teaching strategies implemented by teacher in teaching listening comprehension at SMK Bina Bersaudara Medan. The research was conducted by descriptive qualitative research through two phases: observing and interviewing. It was conducted in SMK Bina Bersaudara Medan at the XI grade class. The instruments of the research were: field notes and interview transcripts. The results of this research were first, there were only two strategies that applied by the teacher in teaching listening comprehension those are Metacognitive Strategies and Cognitive Strategies. The second was the underlying factor of using those kinds of strategies in teaching listening comprehension namely the effectiveness of teachers in teaching, basically a teacher should be a good communicator, should teach the students effectively and many more which makes a teacher become professional and the most important part is the instruction strategies which she chooses to deliver the materials which helps students in learning more effective. Key words :Teacher’s Strategies, Listening Comprehension, Teaching Listening
Efficient symmetry-preserving state preparation circuits for the variational quantum egensolver algorithm

Current approach to modify particles from natural materials for stabilization of Pickering emulsion is normally based on the following procedure: single component such as protein, starch, cellulose, is isolated from natural materials; then modification methods are used to modify single component as colloid particles, such as starch nanoparticles, cellulose nanocrystals, etc.It is not only a complex procedure requiring extensive time and energy consumption, but the modification methods used are mainly chemical processes, which involve using hazardous chemicals, organic solvent, etc.Moreover, the bioactive compounds with health beneficial effects existed in the natural materials are completely lost or wasted during the process.Developing of methodology to directly modify natural materials as Pickering emulsifiers while maintain the original bioactive compounds would be of great important to promote the application of Pickering emulsion in food industry.Red rice is a natural material with many natural antioxidants.In this study, whole grain red rice was modified directly using media milling process as colloid particles for the development of Pickering emulsions (Figure 1).
Aplikasi Pengolahan Citra Digital Menentukan Bobot Sapi Dengan Metode Titik Berat Berbasis Android

Cattle is a consumption animal that is in great demand by Indonesians, its soft meat and delicious taste make beef one of the most expensive meats at the moment, cattle breeders are now starting to modernize and continue to develop their farms to make it easier to maintain and sell cattle, in this modern era there are many things that are facilitated by technology that makes it easier for people to do things, one of which is calculating the weight of a cow with an android application by entering an image of a cow that will be processed and will produce a value for the size and weight of the cow. The weight of the cow can be calculated using the Schoorl formula and the Modified/ Lambourne formula which requires variables of body length and chest circumference for calculation. To get bodyweight, it is necessary to measure chest circumference and body length which are measured manually. However, the reality in the field shows that to get the values for chest circumference and body length, manual measurements need to be carried out, and this is not easy to do because cows are difficult to condition. In the field itself, there is no practical and accurate tool to calculate chest circumference, body length, and weight of cows. Starting from this problem, gave rise to the idea of making a tool that can measure accurately and easily.
LEARNING STRATEGIES OF HIGH ACHIEVEMENT STUDENTS IN ENGLISH OF SMA DHARMA PANCASILA MEDAN

Learning English is one of the important things for students to acquire English well. Many students are still confused to choose what are the strategies that appropriate for them. Several strategies can be used for students to get higher achievement. Meanwhile, students have individual characteristics related to their learning processes, the used of the strategies will give big impact for their achievement. Students whose have high achievement also have their own strategies in their learning process. This is why this research interesting. The objective of the study was known what are the learning strategies used by high achievement students of SMA Dharma Pancasila Medan. By using questioner and interviewed which is adopted from Strategy Inventory for Language Learning (SILL) version 7.0 (ESL/EFL) by Oxford (1990) translated into Bahasa Indonesia to avoid misinterpretation and misunderstanding. The study's result was based on the answers using yes/no questions to determine whether students used direct or indirect strategies, from the interview session followed by the three high achiever students of SMA Dharma Pancasila Medan. The first students tend to used memory, metacognitive and compensation strategies as the main strategies. The second high achievers employed cognitive, metacognitive, and compensation strategies as the main strategies in learning English. Meanwhile, the third used memory, cognitive and social strategy as the main strategies. The data showed the students combined all strategies in the learning process and used three strategies as the main strategy.Keywords : English, Learning Strategies, Achievement.
ALTERNATIVE LEARNING DURING A PANDEMIC: USE OF THE WEBSITE AS A MATHEMATICS LEARNING MEDIA FOR STUDENT MOTIVATION

In March 2020, direct learning activities were transferred online due to the Covid-19 pandemic. There are many alternative technology-based learning media used for online learning systems. However, the use of this media has not been able to increase students' motivation to learn mathematics. One of the media that can be used as an alternative learning media during this pandemic is a website. The purpose of this study was to find out how to use the website as a learning media in the midst of this pandemic, and to determine student learning motivation. This research is a descriptive study with a quantitative approach, the subjects in this study were 25 students of grade 8 and 9 Junior High School. The results of this study were that many students agreed with the use of websites as alternative learning media during this pandemic and students' high motivation to learn mathematics when using the website with an average percentage of 66,3%. From this research, it can be concluded that the website can be an alternative media for learning mathematics in the midst of this pandemic because the website has various advantages that can also increase student learning motivation.
Structural and Petrographic Study of Crystalline Rocks in Part Of Oban Massif, South-Eastern Nigeria

The study aims at differentiating lithologic units, general structural trends and orogenic implications of crystalline rocks within part of Oban Massif, Southeastern Nigeria. Field study involve geological mapping, rock description and structural measurement, while laboratory analysis covered photomicrograph. Field observation and microscopic analysis reveal five petrological units; gneisses, schists, granodiorite, pegmatite and quartz veins. The rocks are generally siliceous and quartzo-feldspathic. The schist show foliation planes trending majorly in the NE-SW direction. The gneisses were highly fractured, indicative of a polyphase deformation. Structural elements such as joints, fractures, foliations and veins show series of deformational episodes that affected the area. Rose diagram plot for these structures show the NE-SW direction indicative of the Pan-African orogeny (600±150 Ma) and interpreted as the most recent event affecting the area. NW and NE trending joints are consideredto be tectonic in origin based on their alignments with major structures of the area. Furthermore, the structures also showed weak NW-SE and E-W trends, an imprint of older (Kibaran orogeny) deformational episodes.