Reviewerly/exHarmony huggingface dataset:
THE IMPLEMENTATION OF TEACHING SPEAKING PROGRAM AT LANGUAGE CENTER ENGLISH COURSE PARE KEDIRI

Non – formal education is one of the solution to help the student learning the subject.One of non – formal education is English course to complete the studying in formal education, to give more knowledge, human skill, and to be able to develop the ability, improving the skill and independence. When the students cannot get maximal in speaking English at school, they can join some courses that is focusing on English. LANGUAGE CENTER English Course has known well to make students able to speak English because they will be helped by 100 teachers who is professional in English. The Implemntation of teaching speaking program at LANGUAGE CENTER English Course are including teacher’s preparation, material taught, teachers’ evaluation in learning, and students’ response toward the teacher in teaching speaking .The research used descriptive qualitative as research design. The subject was 13 students of basic speaking class at LANGUAGE CENTER English Course. The method used in collecting data was interview, observation and documentation. Interview and observation were used for collecting data on teacher’s preparation, material taught, teachers’ evaluation in learning, and students’ response toward the teacher in teaching speaking at LANGUAGE CENTER English Course and documentation used for collecting picture and video that we did research. The result of research is to show that teacher’s preparation, material taught, teacher’s evaluation and students’ response in teaching speaking program at LANGUAGE CENTER English Course was very good.
ДОСЛІДЖЕННЯ ДОСТОВІРНОСТІ ВПЛИВУ ЗАГРОЗ НА РІВЕНЬ ЗАХИЩЕНОСТІ СИСТЕМИ ЗАХИСТУ ІНФОРМАЦІЇ ТА ОБ’ЄКТА КРИТИЧНОЇ ІНФРАСТРУКТУРИ ЗА РЕЗУЛЬТАТАМИ КОГНІТИВНОГО МОДЕЛЮВАННЯ

The rapid development of information technology has led to new challenges and threats to information security. Therefore, it is important to solve the problem of ensuring the proper level of security of systems when exposed to potential threats. Particular attention is paid to the safety of critical infrastructure and information protection systems, violations of the functioning of which can lead to largescale consequences of a negative ature. In this regard, the study of the reliability of the impact of threats on the level of security of the information protection system and the object of critical infrastructure determined by the script modeling on the basis of cognitive approach has been conducted. At the same time, the multiple regression analysis apparatus is used, which allows to trace the link between threats and the security of the investigated systems, assessing the degree of likely impact. To achieve this goal, based on the researched cognitive models to assess the level of security of information protection systems and the object of critical infrastructure, analytical expressions of line-ar correlational dependence between the most important concepts of each model separately and the protection of the relevant systems are formed. In order to compare the impact of threats on the security of the information protection system and the object of critical infrastructure, standardized regression coefficients are defined, which show how much values the dependent variable will change on average while increasing only one independent variable and the elasticity ratios by which the average dependent variable will change by one percent. The analysis of the obtained values of these indicators has allowed to confirm the accuracy of the results obtained as a result of script modeling on a cognitive approach.
KONTRIBUSI KETERAMPILAN MENYIMAK TEKS LAPORAN HASIL OBSERVASI TERHADAP KETERAMPILAN MENULIS TEKS LAPORAN HASIL OBSERVASI SISWA KELAS VII SMP NEGERI 2 BATANG KAPAS KABUPATEN PESISIR SELATAN

Abstract The purpose of this study was to describe: (1) the skill of listening to the text of the observation report, (2) the skill of writing observational report text, and (3) analyzing the contribution of observing the text of the observation report to the observation writing skills of the seventh grade students of SMP Negeri 2 Batang Kapas Pesisir Selatan Regency. The type of research used is quantitative and descriptive-analytical methods. The data collection technique was carried out through listening skills tests and test of observations texts of 45 people samples taken by proportional-random sampling. The results of the study showed: (1) writing skills of observational report text were in good qualification by achieving an average score of 81.84 in the range of values of 0 to 100, (2) the listening skill of observational report text were in a very good qualification achieving an average value of 90.00 in the range 0 to 100, and (3) the contribution of the skill of listening to the of observational report text to writing observational report text was equal to 31.03% among class VII students of SMP Negeri 2 Batang Kapas, Kabupaten Pesisir Selatan. Kata Kunci: Menyimak, Menulis, Kontribusi, Teks Laporan Hasil Observasi
Project ThaiPASS: international outreach blending astronomy and Python

Abstract We present our outreach program, the Thailand–UK Python+Astronomy Summer School (ThaiPASS), a collaborative project comprising UK and Thai institutions and assess its impact and possible application to schools in the United Kingdom. Since its inception in 2018, the annual ThaiPASS has trained around 60 Thai high-school students in basic data handling skills using Python in the context of various astronomy topics, using current research from the teaching team. Our impact assessment of the 5 day summer schools shows an overwhelmingly positive response from students in both years, with over 80% of students scoring the activities above average in all activities but one. We use this data to suggest possible future improvements. We also discuss how ThaiPASS may inspire further outreach and engagement activities within the UK and beyond.
Design and fabrication of high productive barbecue machine

Conventional methods to use a metal cavity having charcoal assisted with skewers in getting the final barbecue encounter a lot of limitations such as time, lower productivity, single temperature heating, worker fatigue, controlling of heat and time, energy consumption, importability, unhygienic food preparation (road-side open barbecuing) and cost-effectiveness etc. The proposed research considers the design and fabrication of barbecue machine fueled with gas and actuated by electrical cum mechanical systems. This electromechanical semi-automatic barbecue machine overcomes the stated limitations. It will be an important tool used for household as well as commercial use. This machine capacity is to barbecue an average of 4.5 kg of meat at a time. The machine is divided into three chambers. In first chamber barbecue is kept on lower temperature for high time. Once it completes its first stage motor attached with chain drive mechanism is activated and it brings the food to second chamber. In the second chamber, it takes lower time on high temperature and when it finishes it is conveyed to first chamber for un-feeding. The aim of this research is also to commercialize the product in the market targeting small scale industries and people involved in road side barbecue production, restaurants and other organizations.
Adversarial Robustness of Quantum Machine Learning Models

State-of-the-art classical neural networks are observed vulnerable to small crafted adversarial perturbations. Similar behaviors are followed by quantum machine learning models classifying Haar-random pure states, in that they exhibit exponentially decreasing robustness in the number of qubits against adversarial perturbations. This stems from the concentration of measure phenomenon, a property of the metric space when sampled probabilistically, and is independent of the classification protocol. In this paper, we discuss these vulnerabilities in classifying Haar-random pure states, as well as in classifying a subset of encoded states smoothly generated from a Gaussian latent space. We derive the prediction-change potential adversarial robustness of any quantum classifier in this setting resulted from the measure concentration in the latent space. Our analysis provides insights into the adversarial robustness of any quantum classifier in real-world classification tasks, and by contrast, shows only mildly polynomially decreasing potential robustness in the number of qubits.
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search Space

Random-sampling Neural Architecture Search (RandomNAS) has recently become a prevailing NAS approach because of its search efficiency and simplicity. There are two main steps in RandomNAS: the training step that randomly samples the weight-sharing architectures from a supernet and iteratively updates their weights, and the search step that ranks architectures by their respective validation performance. Key to both steps is the assumption of a high correlation between estimated performance(i.e., accuracy) for weight-sharing architectures and their respective achievable accuracy (i.e., ground truth) when trained from scratch. We examine such a phenomenon via NASBench-201, whose ground truth is known for its entire NAS search space. We observe that existing RandomNAS can rank a set of architectures uniformly sampled from the entire global search space(GS), that correlates well with its ground-truth ranking. However, if we only focus on the top-performing architectures (such as top 20\% according to the ground truth) in the GS, such a correlation drops dramatically. This raises the question of whether we can find an effective proxy search space (PS) that is only a small subset of GS to dramatically improve RandomNAS’s search efficiency while at the same time keeping a good correlation for the top-performing architectures. This paper proposes a new RandomNAS-based approach called EPS (Evolving the Proxy Search Space) to address this problem. We show that, when applied to NASBench-201, EPS can achieve near-optimal NAS performance and beat all existing state-of-the-art. When applied to different-variants of DARTS-like search spaces for tasks such as image classification and natural language processing, EPS is able to robustly achieve superior performance with shorter or similar search time compared to some leading NAS works. The code is available at https://github.com/IcLr2020SuBmIsSiOn/EPS
Understanding Vocabulary for Essay Writing Test at Eleventh Grade Students of SMK Sirajul Falah Bogor

The purpose of this study was to describe students' understanding of vocabulary in completing essay writing tests in class XI Sirajul Falah Bogor. In the 2019/2020 academic year. Respondents in this study were students at a vocational school in Bogor. The research method used a qualitative descriptive method, the population in this study were students of class XI Sirajul Falah Middle School in Bogor, equipped with 336 students. The sampling technique in this study used probability sampling techniques. The subjects selected in this study were 22 subjects who were taken randomly in class XI Sirajul Falah. The data aids used were written tests in the form of essays, interviews and questionnaires. To measure the results of students' writing skills using essay writing tests given to students, there are 3 choices of topics written in descriptive essays and choosing one of the topics. The data were obtained through a test of vocational students' essay writing skills. The aspects that assess the assessment written by students are consistency (1). Content Accuracy with Title, (2) Vocabulary Mastery, (3) Sentence Mastery, (4) Unity, and (5) Spelling Usage and Writing. From the results of data analysis, of the 22 respondents whose lowest score was 24 or 3.11%, only 1 student and the highest score was 44 or 5.71% as many as 2 students and the number of students or at most was 4.93%, for 6 students who achieved 38. Thus it can be denied that the students were able to do the vocabulary test quite well, because most of them achieved scores above the average and none of the students scored below the average.
Laboratory-based research on the changes caused to the in situ preserved archaeological remains by the heavy equipment compaction

When planning the in situ preservation of archaeological remains, one of the issues that need consideration are changes in the physical environment and their impact on the remains.This includes mechanical loading of the surface above the site and its consequences on the various layers and artefacts within the site.The contribution represents a laboratorybased experiment on the effects of heavy equipment compaction on archaeological remains.A set of tests was performed to understand better the changes that mechanical loading of the surface will cause to the archaeological site.In a custom-made steel case, artificial archaeological sites were created by layers of sandy silt and gravel, in which a variety of archaeological and modern artefacts were placed.To measure stress and strain, some of the artefacts were equipped with strain gauges.A servo-hydraulic piston was used to simulate static and dynamic mechanical loading.Moisture and temperature were recorded before, during and after each test.At the same time, the three-dimensional recording of the artefacts and layers, and soils stiffness measurements were performed before and after each loading.The obtained data allowed us to study the compression of layers and their moisture, movements of the artefacts, stresses and strains on the artefacts, and the macroscopically observable damage of the artefacts caused by loading.We were able to deduce how big of an influence grain size and moisture of the soil have, how important the type of material representing archaeological remains and their position within the soil is, that movements of the artefacts within the layers are also an important factor to consider, that vibrations are far more damaging than force alone, and that protective layer is not always best preservation strategy.With the presented results, our research has been a step towards a better understanding of the effects of heavy equipment compaction to archaeological remains and thus to the preservation of archaeological sites in situ.
Protecting Software Intellectual Property After the Lexmark Decision

the Supreme Court increased the difficulty of patenting computerimplemented inventions, such as software, with its holding in Alice Corp. v. CLS Bank International. 11 The Court held that implementing an abstract idea, such as a method or system, on a computer does not sufficiently transform the abstract idea into patent-eligible subject matter. 12Since the case's publication, "Alice has proven 'deadly' for software patents." 13n May 30, 2017, the Supreme Court further disincentivized protecting software through patents when it clarified the patent exhaustion doctrine, holding in Impression Products, Inc. v. Lexmark International, Inc. that when a patent owner sells his or her patented product, the owner relinquishes all rights associated with that product-including any restrictions the patentee wishes to impose on the purchaser. 14The Supreme Court's reasoning in this case carries a variety of impacts.The Lexmark decision will impact the software industry in the way our devices are produced and sold to us-devices we depend upon every day, such as cell phones. 15Additionally, this outcome will influence the way software companies choose to do business and expand. 16 Finally, when the Supreme Court handed down this decision, it furthered the decline of protecting software through patents started by Alice. 17 Alice caused a dramatic decrease in patenting of software by raising the patent-eligibility standard for software and other computer-implemented
MAKING A TISSUE HOLDER DECORATED WITH SAND

The tissue holder that we made is used to store tissues, so they look more attractive and tidy. This tissue holder is usually used as a complementary decoration on the living room table. The tissue holder that we made is made of thick cardboard or commonly called board paper, which is decorated with sand mixed with brown food coloring and white fox glue, so that the tissue holder doesn't look plain, so it can make the tissue holder more beautiful and attractive. when created with the sand. The tissue holder that we make is also cheap and maybe this item is often heard from among the public. However, rarely do anyone make it decorated with sand, so we will try to make a tissue holder. The materials we use are readily available and cheap. The thing that is needed in making a tissue holder is creative. With creativity, unique and funny shapes will be created. From this tissue holder that we make, it is used for decoration and other uses. Adding added value to these objects so that they have high economic value and can become a business opportunity. By utilizing existing materials or objects, it can create or create a good and unique work that can be of high value and economic value. This tissue holder is useful as decoration and other uses. Apart from being an artistic value.
PENERAPAN MODEL PEMBELAJARAN INDEX CARD MATCH UNTUK MENINGKATKAN HASIL BELAJAR IPA PADA SISWA KELAS IV MIS AT-TAQWA MALIFUT

The purpose of this study was to determine the improvement of the science learning outcomes in 4th grade students of MIS At-TaqwaMalifut by applying the Index Card Match Learning Model. The research design was Classroom Action Research (PTK). The subjects of this study were 26 of 4th grade students in MIS At-Taqwa, Malifut Sub-district. The data collection instrument in the first cycle consisted of 6 essay questions with a maximum score of 55, and in the second cycle consisted of 6 essay questions with a maximum score of 65. The data analysis and data collection techniques were carried out through observation and tests. The observation sheet was used to obtain data of the researchersâ€™ and studentsâ€™activities every time the action took place, while the test was used to assess studentsâ€™ learning outcomes. After the research data were analyzed descriptively, it was found that in the first cycle the studentsâ€™ activity was 64.42% and in the second cycle, it increased to 74.27%. Meanwhile, the research activity in the first cycle was 68.16% and the second cycle increased to 79.16%. The student test results in the first cycle showed that the students who passed the passing score were18 students or 69.23% and in the second cycle increased to 21 students who passed the passing score classically or 80.76%. This showed that by applying the Index Card Match learning model, it could improve the learning outcomes of 4th grade students in science subjects at MIS At-Taqwa Malifut.
PERBEDAAN TINGKAT PENGETAHUAN PASIEN SEBELUM DAN SESUDAH PEMBERIAN LEAFLET TENTANG CARA PENGGUNAAN DAN PENYIMPANAN OBAT TETES MATA DI APOTEK PERINTIS KURIPAN BANJARMASIN

The use of eye drops must be as directed in order to obtain an optimal clinical outcome. The storage of eye drops should also receive special attention to ensure sterility. The purpose of this study was to determine differences in the level of patient knowledge before and after giving leaflets. This is an experimental research one group pre test-post test design. Data were collected prospectively. The research was conducted at the Kuripan Perintis Pharmacy, Banjarmasin. The sample in this study amounted to 50 respondents. Data were collected using a questionnaire. The research sample received intervention giving leaflets about the use and storage of eye drops. The research data were displayed in percentage form and analyzed using different test. The results showed that the level of knowledge of respondents about how to use and store eye drops before giving leaflets was in good category 15 (30%); enough 21 (42%) and less (28%). While the level of knowledge of respondents after being given leaflets was in the good category 30 (60%); enough 13 (26%) and less 7 (14%). There was a significant difference between the level of knowledge of the respondents before and after being given the leaflet (p &lt;0.05).
Situation awareness framework for industrial control system based on cyber kill chain

Information and cyber security of Industrial Control Systems (ICS) has gained considerable importance. Situation Awareness (SA) is an exciting mechanism to achieve the perception, comprehension and projection of the ICS information security status. Based on the Purdue Enterprise Reference Architecture (PERA), a situation awareness framework for ICS is presented considering the ICS cyber kill chain. The proposed framework consists of IT SA Centre, OT SA Centre, and Comprehensive SA Centre. Comprehensive SA Centre is responsible for creating and maintaining an integrated and high level of security visibility into the whole environments. The introduced framework can be used to guide the development of the situation awareness infrastructure in organization with industrial control systems.
DYNAMIC PROBABILITY SELECTION FOR FLOWER POLLINATION ALGORITHM BASED ON METROPOLISHASTINGS CRITERIA

Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. Having only one parameter control (i.e. the switch probability, pa) to choose from the global search (i.e. exploration) and local search (i.e. exploitation) is the main strength of FPA as compared to other meta-heuristic algorithms. However, FPA still suffers from variability of its performance as there is no one size that fits all values for pa, depending on the characteristics of the optimisation function. This paper proposed flower pollination algorithm metropolis-hastings (FPA-MH) based on the adoption of Metropolis-Hastings criteria adopted from the Simulated Annealing (SA) algorithm to enable dynamic selection of the pa probability. Adopting the problem of t-way test suite generation as the case study and with the comparative evaluation with the original FPA, FPA-MH gave promising results owing to its dynamic and adaptive selection of search operators based on the need of the current search.
Interactive Health Information Chatbot for Non-Communicable Diseases in Swahili Language

Current health awareness campaign strategies, efforts, and methods on NCDs have not produced improved outcomes in reducing the burden, spread, and deaths linked to NCDs in Tanzania. To support, compliment, and improve health literacy on NCDs and promote good healthcare, we designed and developed an interactive health Chatbot ‘afyaBot’ in Swahili language that can respond to user's requests concerning NCDs symptoms, prevention, management, and cure. The Chatbot was designed using Botsociety; a special tool for designing Chatbot prototypes; BotMan framework for coding the Chatbot logic and Google Dialogflow platform that offers high-level Natural Language Processing capabilities. The Chatbot was integrated into the Facebook Messenger platform which offers free public API access that eliminates the cost of the internet from the consumers. The Chatbot was tested for accuracy, usability, user experience, responsiveness, reliability, maintainability, and portability. The results of implementation were satisfactory and provide insights useful to stakeholders in the health sector. The interactive Chatbot was designed to provide real-time information on NCDs, create awareness, and educate users on preventive, control, and treatment measures of NCDs. It will likewise assist healthcare providers to collect accurate timely health data for monitoring, planning, and research purpose.