Reviewerly/exHarmony huggingface dataset:
POTENTIAL OF SOLAR POND AS SOURCE OF THERMAL ENERGY TO SUSTAIN THE DEVELOPMENT IN MENA REGION

In terms of the importance of solar radiation sustainability in middle east and north Africa (MENA) Region, this research was initiated with the objective of mapping solar ponds to provide solar energy by Geographic Information Systems (GIS) and multi-criteria decision-making method to ensure their efficiency, in terms of cost.Primarily, literature in the field of solar ponds and clean energy was assembled, reviewed, analyzed and categorized to deduce data about solar pond locations and analyze.Accordingly, different variables were considered such as road networks and different countries.In addition, land cover as environmental parameter was considered.Furthermore, technical variables like direct normal radiation, temperature, wind, and relative humidity were taken into consideration using control points covered this area where a number of control points reach 65500 points each point calculated the mean wind, temperature, relative humidity, and direct normal radiation from thirty years.ArcGIS process was applied to solar pond technique locations were selected.The deduced data were comprehended, analyzed, and presented to perceive a complete data picture about MENA Region, from which it was apparent that different zones have different characteristics, in terms of the capability of encompassing solar ponds.Based on the investigation results, it was concluded that Morocco, Algeria, Libya, Egypt, Sudan, Syria, Iraq, Saudi Arabia, United Arab Emeritus, Oman, and Yamen show in map satisfies the renewable energy potential.In addition, it was recommended to implement solar ponds in their vicinity, as they satisfy the solar pond requirements, in terms of renewable energy efficiency and cost.
Pengenalan Nilai Tambah Melalui Pengolahan Dan Pemasara Saos Tomat Di SMK Agribisnis Dangau Datuk Bengkulu

The Dangau Datuk Bengkulu Agribusiness Vocational Middle School has practicum facilities for cultivating various types of vegetables, one of which is tomatoes, which are sold directly at outlets provided to meet the daily needs of students. However, the characteristics of agricultural products are not durable,perishable, and rotten if they are not immediately sold. This problem has attracted the interest of proposers to help introduce value added analysis through processing tomatoes into tomato sauce which of course can lasta long time, have added value and high selling value. Students and some teachers have received value-added introduction training through sauce processing, operational management, training on determining the cost ofgoods sold (HPP). The ratio of added value from processing tomatoes into tomato sauce is obtained by 40% and the added value is obtained by subtracting the output value from other input prices and the raw materialprice of Rp. 6,666.67, meaning that every 1 kg of tomatoes costs Rp. creating added value of Rp. 6,666.67, - per Kg after being processed into tomato sauce.&#x0D;
Atmospherically driven ground motion at InSight: a machine learning perspective

&amp;lt;p&amp;gt;The NASA InSight lander is a geophysical and meteorological observatory operating on Mars for over a Martian year/two Earth years. Continuous records of seismic, pressure, wind and temperature data over this period have led to significant breakthroughs in determining the planet's structure and climate. With such a wealth of data now received, machine learning offers a nascent tool to extract further information.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The seismic data is extremely correlated to the atmospheric conditions. Discerning the coupling between the atmosphere and ground motion is of significant interest and this work aims to predict the ground motion generated by wind and pressure forcing using machine learning techniques. From this prediction we can untangle the various contributions to ground motion, determine atmospheric/ground properties, analyse/discriminate marsquakes and potentially decorrelate waveforms to remove the atmospheric contribution. While a physical model for this atmospheric forcing is desirable, machine learning approaches the problem from an alternative view point where mathematical and algorithmic tools add the necessary complexity for fitting the data. In this way, we may be able to capture detailed variation and inform further modelling efforts.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We will detail the initial application of machine learning for predicting the ground motion from the atmospheric data inputs of wind speed, wind direction, pressure and temperature. First though, we will describe the issues that need to be tackled to obtain a good prediction using the InSight data. To illustrate some of some of these problems, consider that glitches are known to occur in the seismic data. They offer a way to detect overfitting as they should not in general be predicted from atmospheric forcing. However, a subset of the glitches are correlated to temperature on top of the fact they are only visible during quiet enough periods, as are marsquakes. Therefore, they are not a normally distributed source of noise or uncorrelated from the input atmospheric data, breaking typical assumptions used for regression. A similar issue is presented by the changing weather conditions throughout a Martian sol, where the time series distribution varies. As a result, prior information on the instrumentation and data qualities is essential for applying the machine learning methods and interpretation of the results.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We demonstrate the specifics of the InSight data with respect to 1) how a curve fitting problem can be constructed, 2) the necessary degrees of freedom of the problem, 3) consideration of non-stationary/heteroscedastic errors and 4) the optimisation and machine learning method applied. Current results will be presented from the implementation of random forests and gaussian processes. These results demonstrate a good performance so far for capturing the global variation and we will offer perspectives on how these results can be used and improved.&amp;lt;/p&amp;gt;
The Influence of Marketing Mix, Costumer Value, and Customer Satisfaction on the Purchase Intention of Granite and Marble Natural Stone at PT. Intinusa Selareksa, Tbk, Jakarta

This study aims to determine Marketing Mix, Customer Value, Customer Satisfaction with the intention to purchase granite and marble natural stone in the company.The research with quantitative descriptive methods conducted in March 2020 for customers of PT.Intinusa Selareka Tbk.The sample used was 100 people and the sampling technique was done by simple random sampling.Data obtained using a questionnaire and processed using Smart PLS 3.0 analysis.
KLASIFIKASI TINGKAT KEPARAHAN KEMISKINAN PROVINSI DI INDONESIA DENGAN ANALISIS DISKRIMINAN

Poverty is one of the main problems of the government that is prioritized in developing the development strategy of every country including Indonesia. The poverty rate in Indonesia is still relatively high, so the government focuses on decreasing the existing poverty level by improving the welfare of the population. Therefore, it is very important for the government to know the severity of poverty in Indonesia so that it can take a policy to reduce the existing poverty level. The purpose of the research was to group the severity of provincial poverty in Indonesia with a Discriminant Analysis. The stages of discriminant analysis include testing of normal multivariate distribution, testing of homogeneity of covariance variants, discriminant analysis by stepwise method, then continued calculation of classification accuracy value. The results of this research show that the large classification rate obtained is only 67.7% which means that not all provinces are able to be classified appropriately based on the variable open unemployment rate (TPT).
THe The Attentional System in The Case of Harvey Weinstein Sexual Abuse Allegations on International Online News

The study aims to find out the attention system, especially, the focus of attention patterns, on news articles related to the Harvey Weinstein sexual harassment allegations case. Qualitative descriptive methods were used in this study. The data was taken from the BBC and the stylist's broadcasting article about the case. The results show that the figure-ground organization as an element in the focus of attention patterns is mapped and clearly constructed. Weinstein, who fits the role of the perpetrator, reasoned on the victim and the attention of the news writer's article that formed the ground, while the victim and other entities set the ground in the sentence. This reasoned and background phenomenon shows that the cognition of victims and news writers places more attention and perception on perpetrators than other entities.
The Development of POPSCRA Book Learning Media Based on Mnemonic Strategies on Measurement Materials to Improve Student Learning in Grade 4 SDN Sumberkembar Mojokerto

Popscra book learning media based on mnemonics can be used in mathematics learning because it stimulates students' skills in remembering sequence units of length and weight.The research method used Research and Development.Researchers adapted Borg and Gall's modified development model.The researcher only applies seven steps of development research.Results showed that the validation of media obtained a percentage of 80%, 85%, and 86%, of the three experts of media, the media in a good category.The level of media attractiveness from the results of student questionnaires has a percentage level of 87%.Difference student learning outcomes based on sample t-test independent shows H1 is accepted.Because tcount 4.033 > ttable 2.100 with the acquisition of a post-test score of the experimental class 85.5, control class 77.So the conclusion that the use of mnemonic-based popscra book media is effective, and valid for application in grade 4 SDN Sumberkembar.
Implementing Brown’s Teaching Principles on the Training of English for General Speaking Purpose for School Teachers and Staff

This community service aims to help secondary school teachers to learn and improve their English, speaking skill in particular, The community service team will collaborate to conduct 20 class meetings at the respective school. The participants are all school teachers, headmaster, and appointed school staff. This paper informs the result of Brown’s Teaching Principles in improving speaking skill of school teachers and staff. There were 10 teachers involved, 7 males and 3 females. Their ages range between 24 to 30 years. The community service team employed observation to record participants’ progress. The result shows that before commencing the training, participants were mostly unable to make self-introduction, tell daily activities, show directions, and make general exchange. At the end of the program, the participants were able to speak in English in the area of making self-introduction, telling about their daily activities, and making general daily exchange. They were also capable of showing people direction and ask and answer Yes/No question. The speaking zone also developed from “in-classroom only area” to teachers’ room and was planned to expand into the whole area of the school. This policy will be made for teachers first. Students will be advised to use English at school at the initial stage. The school plan to implement English speaking policy for students soon in the right time in the near future.
Teaching Simple Present in Writing Through Short Story on Youtube To Accounting Students at University of Bina Sarana Informatika

&lt;p&gt;&lt;span lang="EN-US"&gt;This research discusses the use of short story on YouTube in teaching simple present tense to Accounting students. The development of technology has influenced in English teaching learning ways. There are some skills that should be mastered by the learners in learning English, they are listening, speaking, reading and writing. Technology can be used in all English skills, such as the use of YouTube in teaching writing. There are many short stories on YouTube that can be used as one of the media in teaching writing. Simple present is used to show the activity which is done repeatedly. It is also used to show about general truth or fact. It is chosen as the students, especially Accounting students, still have difficulties in implementing simple present in the sentence. The method used in this research was descriptive qualitative method and the participants of this research were the students from Accounting Department, 1st semester of University Bina Sarana Informatika. The results of the research are: (1) most students have understood about the pattern of the verb used in simple present tense; (2) most of them have known about using verbs or auxiliary verbs; and (3) some of them made mistakes of the writing of the verb and auxiliary verb.&lt;/span&gt;&lt;/p&gt;
FUZZY EXPERT SYSTEM UNTUK MEMBANTU DIAGNOSIS AWAL SINDROMA METABOLIK

Metabolic syndrome is a condition that occurs in a person simultaneously, such as an increase in blood pressure, high blood sugar levels, excess fat around the waist, and an unusual increase in cholesterol levels. This condition makes the risk for sufferers experiencing heart disease, stroke, and diabetes mellitus very high. Metabolic syndrome is a non-contagious disease. A person who has metabolic syndrome is usually difficult to detect, because experts are needed to analyze it. Fuzzy Expert System (Fuzzy Expert System) is part of artificial intelligence using fuzzy logic. where the system tries to adopt human knowledge to computers so that computers can solve problems as usually done by experts. Where later the results of the system developed in the study can at least help experts (doctors) in providing conclusions on the risk of disease suffered by patients through the analysis of metabolic syndrome. This system will involve experts such as doctors and patients, where the doctor makes a diagnosis of the patient's metabolic syndrome analysis results, and the patient is used to seeing the diagnosis of the risk of the disease being suffered.
Man-Woman Relationship in Shobhaa De’s Second Thoughts

Shobhaa De’s Second Thoughts is a realistic representation of the psyche of the traditional Indian men and women. The freedom of women is permitted in a very restricted manner in the Indian Society. This novel is the ancient story of sacrifice and adjustment that a woman is destined to. Maya, the protagonist, lives in loneliness and sadness. In Second thoughts, Maya learns to survive in the sultriness of not only Bombay, but also of her marriage life. She strikes up a friendship with Nikhil, her charming, college-going neighbor leading to love and betrayal. The way Shobhaa De narrates each and every aspect of human relationship in general and man-woman relationship in particular, is really wonderful. This paper aims to explain the emotional and psychological needs of Maya and also gives the picture of the modern urban woman who is subjugated and suppressed in the meaningless marriage.
PEMEROLEHAN KALIMAT BAHASA INDONESIA PADA ANAK USIA 3 TAHUN DI KB YAA BUNAYYA SURABAYA

The acquisition of Indonesian sentence on 3 years old children tend to be very simplethat describes the mindset, behavior, and personality to tell the events that happened thoughsometimes still not right and not yet become a complete sentence. The purpose of this study isto know and describe the acquisition of sentences in children aged 3 years in KB YaaBunayya Surabaya. In the form of declarative sentences, interrogative imperatives, andsentence solicitation. The method used in this research is descriptive qualitative researchmethod. technique of data collection using conversation involve gathering technique,recording technique, and record technique. The analytical techniques used are transcript thedata, recording, classifying, and retell. The result of this research is the acquisition ofdeclarative sentence of 3 years old child there are four kinds. In addition to the declarativesentence, there are also 3 interrogative sentences that are interrogative sentences thatrequire the recognition of "yes" or "no" answers, about a thing. Both types of interrogativesentences that ask for answers are 'reasons', and the third Sentence type that asks forinformation. Found 2 more sentences namely sentence invitation and imperative sentence.Conclusions and suggestions are given so that this research is useful for the readers,especially for the development and improvement of the development of learning methods forchild 3 years old for more re-interaction and productive in the use of good and correctIndonesian.&#x0D;
The Logic of Internal Rational Agent

In this paper, we introduce a new four-valued logic which may be viewed as a variation on the theme of Kubyshkina and Zaitsev's Logic of Rational Agent \textbf{LRA} \cite{LRA}. We call our logic $ \bf LIRA$ (Logic of Internal Rational Agency). In contrast to \textbf{LRA}, it has three designated values instead of one and a different interpretation of truth values, the same as in Zaitsev and Shramko's bi-facial truth logic \cite{ZS}. This logic may be useful in a situation when according to an agent's point of view (i.e. internal point of view) her/his reasoning is rational, while from the external one it might be not the case. One may use \textbf{LIRA}, if one wants to reconstruct an agent's way of thinking, compare it with respect to the real state of affairs, and understand why an agent thought in this or that way. Moreover, we discuss Kubyshkina and Zaitsev's necessity and possibility operators for \textbf{LRA} definable by means of four-valued Kripke-style semantics and show that, due to two negations (as well as their combination) of \textbf{LRA}, two more possibility operators for \textbf{LRA} can be defined. Then we slightly modify all these modalities to be appropriate for $\bf LIRA$. Finally, we formalize all the truth-functional $ n $-ary extensions of the negation fragment of $\bf LIRA$ (including $\bf LIRA$ itself) as well as their basic modal extension via linear-type natural deduction systems.
Survey on Implementation of AI algorithms in 2-D Games

The usage of Artificial Intelligence (A.I.) in games to design a non-playable agent is large. These agents, often known as NPC’s (Non Playable Characters) are used to interact with the players to provide immersion. The field of Artificial Intelligence induced game development is flourishing due to recent advancements in the deep learning field. This study presents the effect of different Artificial Intelligence algorithms on games. For the purpose of this study, the games in which the Artificial agents are implemented are a puzzle game where the user is presented with a maze through which he/she has to navigate through to find the exit point and a 2-Dimensional platform game which consists of a game character that is tasked with avoiding obstacles that are generated randomly .
Analisa Perbandingan Performansi Hot Standby Router Protocol (HSRP) dengan Gateway Load Balancing Protocol (GLBP) Pada Router Spoke DMVPN

The use of internet connections to develop Virtual Private Network (VPN) lines in companies has been massively applied. An example is the use of Dynamic Multipoint VPN (DMVPN) technology from Cisco, which can connect Spoke or branch offices through HUB or data centers. Besides requiring a secure network, companies also need high network availability. One of them is by using the redundancy method in order to minimize downtime when device damage occurs. In this research, the spoke router will apply two redundancy methods by Cisco, which are Hot Standby Router Protocol (HSRP) and Gateway Load Balancing (GLBP). This research aims to compare the QoS performances and downtime between the two protocols in order to discover the suitable method for DMVPN networks at branch offices. The test scenario is conducted on the GNS-3 simulator using the File Trasnfer Protocol (FTP) service. The obtained test result shows that the HSRP throughput value is smaller from the GLBP with a difference of 0.20%, the increase in the average delay of the HSRP is smaller from the GLBP with a difference of 1.07%. The HSRP data transfer time is faster than GLBP with a difference of 1.49%, and HSRP downtime is 4.13% faster than GLBP. The conclusion is that a suitable redundancy solution for spoke router using the HSRP method
Substrings Through Ranges

One thing that bothers me with the iterators in Chapter 7 is that when we searched for words or integers, we didn’t get the string we matched back. We got a pointer to the position where the match started. We would need to search again for the end of the match if we wanted to know how large the match was. To extract the words, we either have to copy them into another string or need a way to represent substrings. Both are easy to do, but the more interesting one is representing and working with substrings, so in this chapter, we will experiment with a string representation that can handle this. We will not implement a complete library for an alternative string representation, but enough to work as a starting point if it is something you will later wish to do.
Introduction: Privacy and Pandemics

This set of articles in this special issue illustrate a number of ways that the realities of a global pandemic may challenge different perspectives on privacy protection and the appropriate relationship with other rights and responsibilities. They arose from a virtual roundtable, held on 15 June 2020 at Melbourne Law School, under the aegis of the Privacy and Pandemics Information Network. The network was formed as a rapid response to the overwhelming number of privacy issues being raised almost simultaneously by, or as a result of, the various government and private actor attempts to deal with COVID-19 in Australia and around the world.