Reviewerly/exHarmony huggingface dataset:
Identifikasi Permasalahan Infrastruktur Drainase di Kampus Universitas Hasanuddin Tamalanrea, Kota Makassar

The Unhas Tamalanrea campus is an educational area which has an area of 220 hectares, one of the problems that exist when the intensity of rain is high enough in the area, namely the occurrence of inundation and flooding on several roads so it is necessary to find causes and solutions to these problems. The purpose of this study was to determine the problem of drainage infrastructure in the Unhas area. This research took place from November 2020 to April 2021. This research is located in the Hasanuddin University Area, Tamalanrea Campus, which is located in Tamalanrea District, Makassar City. Types of secondary data are the number of Unhas Tamalanrea campus communities, the volume of dirty water per person based on the number of communities in Unhas Tamalanrea and PERMEN PU RI No.12/PRT/M/2014 with data collection methods, namely literature, theory, and NSPK studies. The type of primary data is the existing condition of the drainage network at the Unhas Tamalanrea campus, with data collection methods namely surveys or field observations. The data analysis technique used is a comparative analysis, which is to compare the ideal or proper drainage infrastructure with the existing conditions of the research location. Based on the results of the study, there is a drainage infrastructure that is classified as a tertiary drainage channel and then leads to a secondary drainage channel on Polytechnic Street and empties into the Tallo River as a primary drainage channel that is well connected. The quality of the drainage infrastructure is not good, seen from the dimension of the drainage construction that is not wide enough and the drainage network where sedimentation occurs due to lack of maintenance.
LSTM network for the detection of P and S waves in seismic signals from the Nevados de Chillán volcano (Chile)

This work presents the design and evaluation of an architecture based on LSTM recurrent neural networks to create P and S wave identification models in volcanic earthquakes. The detection of these waves is a challenge in volcanic signals because, unlike tectonic seismicity, the distances between the seismic sources and the sensors are short. Nevertheless, it is an important stage for vulcanological monitoring because it can locate the origin of the seismic event and obtain physical parameters crucial to forecast the state of a volcano’s activity. In general, this process is done manually by analysts in volcano observatories; however, due to the large number of volcanos monitored by the Observatorio Vulcanológico de los Andes Sur (OVDAS) in Chile, it must be automated. The article applies a methodology proposed in the literature to a currently active volcano in southern Chile, the Nevados de Chillán, achieving promising results, especially for the detection of S waves, which are more difficult to detect than P waves.
Application analysis of artificial intelligence in hospital

As one of the most important service institutions, the hospital is often inefficient, and sometimes hospital will even cause chaos. In addition, the hospital keeps a lot of important network resources, which is very vulnerable to network attacks by illegal elements, such as hackers. Artificial intelligence is one of the three cutting-edge technologies in the 21st century and it has a big potential in many fields which involve the computer science. This article aims to summarize and discuss different ways of introducing artificial intelligence technology into the aspects of hospital work. It will help consider the direction and inspiration of designing an intelligent hospital while protecting the cyber security of the hospital. It discusses the specific methods and application designs in improving the hospital service by analyzing the field of affective computing, computer vision and neural network. In conclusion, the introduction of artificial intelligence can make hospitals have a better treatment process and comfortable work flow.
Adaptive Ant Colony Optimization with Several Pheromone Updates for Constraint Satisfaction Problems

Ant colony optimization, ACO, has been applied to solving constraint satisfaction problems, CSPs., as an effective meta-heuristics. Because most of ACO based algorithms have prepared only the single pheromone update method, however, such algorithms have sometimes been inefficient for CSP instances very hard to solve due to dependence on how pheromone accumulates. In this paper, we propose an ACO based algorithm that can deal with several pheromone update methods. Besides, the proposed method also prepare an adaptive mechanism, in which pheromone update methods suitable to each problem instance to be solved can dynamically be adjusted during the search process. We also demonstrate that the proposed method can be more effective than some ACO based algorithms with the single pheromone update method for large-scale and very hard instances of the graph coloring problem that has been known as one of typical examples of CSPs.
Reading Habits of School Students: A Case Study

This article examines students’ reading habits, their preferences and trends in traditional reading, i.e. books and other printed materials in the library in the digital era. The study was carried out in a reputed public school in South India, with a well stocked library and offering digital information access and services to the students and staff. The study is based on factual data downloaded from the computerised circulation data and data collected through a questionnaire. It was found that the habit of reading printed books has not been much affected by the digital era. Providing periodic exposure to the latest books to students, involving them in book selection and other motivating practices keeps the students’ book reading habits intact.
Proposing a Secure URL Shortening Service by using Blackboard Architecture

URLs can get long, unattractive, and break when sent via e-mail. To shorten an Internet address, we proposed a secure URL shortening service which will take a long Web address and create a shorter address that will not break in an e-mail posting by using the Blackboard architecture. Security is considered in the proposed service to prevent hacking because shortened links may stop working or requests can be redirected to advertising websites and/or websites containing malware. The Blackboard is updated continuously by KS and it holds all the data concerning the URL shortening by storing all the intermediate solutions until the final solution of the problem of URL shortening is found. The knowledge sources that are proposed in the Blackboard system include: (URL Validation, URL Statistics, and Secure URL shortening).As a result the proposed secure URL shortening service will give the user more trust to use the service with security, availability, and confidentiality consideration as compared to the available used services.
Story Retelling (SR) Technique in Improving Reading Comprehension of Sixth-Graders

The PHIL-IRI results of the sixth graders during their fifth grade were seriously alarming. All learners were identified as frustration readers. Thus, this study aimed to improve sixth graders' reading comprehension through Story Retelling (SR) technique. The study used a pretest-post-test quasi-experimental design consisting of two intact classes with 43 grade 6 learners. One class was exposed to SR Technique, while the other was exposed to the traditional method. The comparison of posttest results revealed no significant difference in the comprehension level of the respondents with (p&gt;.01) between groups. The data proved that SR did not significantly enhance the reading comprehension of the learners. There was a slight increase in the posttest mean scores of the experimental group. However, the increase was not significant. It showed that the learners lacked solid general knowledge and vast vocabulary, which are essential in reading. The interviews discovered that the learners were not exposed to the English language and were not adequately monitored about their academic progress. These pre-existing background conditions significantly affected the intervention, preventing a significant difference in the learners' reading comprehension. Based on the results, it is recommended that the Story Retelling (SR) technique is only introduced to the learners after they learn the basic reading skills, including vocabulary, and establish solid general knowledge. Moreover, the amount of time spent on the intervention added to the undesirable results. Thus, the intervention should be conducted in more than six weeks to achieve better results.
Pendampingan Pembuatan Media Pembelajaran menggunakan Aplikasi Canva Guru Sekolah Dasar di Makarti Jaya Kabupaten Banyuasin

Distance learning activities are the only encouragement for elementary school teachers to make interesting strategies in the learning process, the use of learning media is one of the teachers in order to be able to create interesting activities and so that students are expected to be able to follow the learning process carefully without complaints, because good learning using learning media. The purpose of this activity is a form of community service in the form of assisting learning media using the Canva application. The method of activity carried out is service learning with the subject of the activity, namely inviting all elementary school teachers in Makati Jaya, to take advantage of the Canva application. The Canva application is a platform that can be accessed by anyone using a smartphone or using a computer browser. This assistance provides an overview for teachers to take advantage of free applications that can be used to create interesting and not monotonous learning media by utilizing these applications.
Reflections on the Present Situation and Countermeasures of College English Teaching

After decades of English teaching and research, college English teachers in China have made great progress in teaching content and methods, but there are still many areas to be improved. For example, exam-oriented education still has a profound impact on efficient English teaching in China, which limits teachers’ teaching thinking. At the same time, the phenomenon of not paying attention to context teaching and practical application teaching in English teaching leads to students’ high scores but low abilities and poor comprehensive English ability and application ability. According to the current situation of English teaching in colleges and universities, this paper takes some risks and puts forward some countermeasures to improve it.
12. What’s in a Name?

Labeling theory focuses on the process society goes through to categorize people, particularly what happens when individuals are labelled deviant or criminal. The show Criminal Minds focuses on a group of individuals working for the government whose main purpose is to provisionally label and describe perpetrators. Those labels are then used in the effort to track down and catch the perpetrators, at which point the label is officially given. Most of the time, a negative label is not wanted by people. However, in the episode “Identity,” a perpetrator wants to take on the identity of his mentor, a prolific serial killer who committed suicide. In this case, the negative label is sought after by a perpetrator, which is not expected. Alternatively, in the episode “Profiler, Profiled,” the tables are turned when the label is given to a member of the investigating team. This episode gives an inside look at what happens when a label is given to the wrong person and/or the wrong label is applied to someone. Labeling theory can be applied to both of these unusual situations and describe how labels are formed and rejected or accepted.
IoT-Tangle Enhanced Security Systems

Security systems are systems or software developed with the sole purpose of security or to secure a particular component. The chapter involves in-depth knowledge about the origin of new technologies like the IoT, cryptography, and Blockchain. The history of security systems or vaults can be studied in Vedic scriptures and the stories of the kings securing their precious belongings and other forms of security system for security of the kingdom. The inter-connectivity of the security systems nowadays and how the systems have evolved in the modern era is the central aspect of this chapter. Modern era security systems revolve around technologies like Blockchain, the IoT, and cryptography, which are high-end security technologies that are currently available on the market. Blockchain is a distributed ledger which enhances decentralization of the system it is applied to. The IoT, Internet of Things, is a network between different sensors and signal receptors that works while connected to the internet. Cryptography, on the other hand, is a security feature that helps us to hash functions cryptographically. The following research discusses a technology known as Tangle, which is an enhanced Blockchain system that self-validates when transacting. When merged with IoT systems, it can work to build a more secure and enhanced system.
The Nexus between Institutional Quality &amp; Foreign Direct Investment (FDI) in Sub-Saharan Africa

This study analyzes the nexus between foreign direct investment and institutional quality including political stability, rules of law, government effectiveness, voice &amp;amp; accountability, and regulatory quality. The major aim of this study is to examine the relationship between institutional quality and foreign direct investment. This study consists of a sample of Sub-Saharan African countries. Our study employed two-panel data techniques including Random Effect Model (REM) and Vector Autoregressive Model (VAR). The study period covers from 2015 to 2019. Empirical findings of REM indicated that both rules of law and government effectiveness have positive and statistically significant influences on foreign direct investment inflow in the SSA region. Similarly, the study utilized other explanatory variables such as the trade and labor force. The result of VAR highlighted the positive and statistically significant influence of labor force and trade on foreign direct investment inflow, therefore, the effectiveness &amp;amp; efficiency of region institutional quality are usually dependent on the robustness of those variables. Thus, the study recommends having higher foreign direct investment inflow in the region is necessary to make policy reforms that strengthen the quality and efficiency of governance.
Perancangan Sistem Informasi Bimbingan Skripsi Berbasis Mobile

This thesis guidance information system was made for the Informatics Education Study Program of STKIP PGRI West Sumatra. The problem raised from this thesis guidance application program is that the guidance is carried out face-to-face and due to Covid19 makes the thesis guidance process constrained due to the implementation of Physical and Social distancing. In addition, the matching of time between students and lecturers hampered the guidance process. So for that a computerized and programmed system was created by making a Mobile-based thesis guidance application. This thesis guidance information system is designed using the Unified Modeling Language (UML) model and uses the Software Development Life Cycle (SDLC) method, which in this method has several stages, namely the planning stage, the analysis stage, the design stage, the implementation stage, the testing stage and the maintenance By using the SDLC method and the UML model, it is expected to be able to produce a Mobile-Based Thesis Guidance Application to overcome problems and to facilitate the guidance process that will be carried out by students and supervisors.
Why data mining?

Data mining (DM) is not a well-understood subject. Data mining is perceived as being a mystical, not mathematically rigorous methodology that often produces results without any validation or verification. Some of that is a correct perception. Indeed, few mathematical theorems demonstrate the rigorous validity of Data Mining. We need to interest more mathematicians in this field&mdash;a field that was born from Biology and not from Mathematics. Then, why use it if it is not mathematically fully validated? Simply, it is the best strategy we have knowledge and data are sparse, incomplete, or imprecise. We do not use this technique in a well-defined and well-understood problem where models have been proven and validated. Instead, we use DM when those mechanistic/deterministic models fail, knowledge is insufficient, but data is abundant. Data Mining comprises several mathematical techniques. They fulfill different needs: Expert System is a reasoning-based technique that is useful when knowledge is available and rules on a system&rsquo;s behavior can be derived. One part of an Expert System is a technique now known as Block-Chain (originally as Black-Board). Information is shared securely. A sharing partner can acquire someone else&rsquo;s information as long they add information to the blackboard. This technique was popularized by the Bitcoin industry and is now being rapidly accepted by Banks. Expert Systems are used mainly when knowledge is available. Additional information can be obtained by forming knowledge trees that are concatenated. Artificial Neural Networks (ANN) are techniques that can be used when only data instead of knowledge is available. The approach "mimics" the brain's "Pattern-Recognition" capabilities. It is mainly used to extract knowledge from data. There are two main types of ANN: Supervised and unsupervised learning. As an example of Supervise d learning are those ANN tools used to discover relationships between the dependent (output) and independent (input) variables. The non-supervised ANN are frequently used as excellent tools for Data Compression and for estimating the most probable values in incomplete data. Those main techniques get help from Fuzzy Logic, which enables us to deal with the data's uncertainties or with incomplete knowledge that is available. Search Techniques, such as Genetic algorithms (an exciting and fun option instead of Optimization techniques). Traditional Optimization techniques and Statistics are commonly used too as part of Data Mining. In this paper, I will address each technique's fundamentals, discuss the validity of the results, and guide the reader at the best choices for a given problem type. We will close the paper with examples on using the techniques for alloy design and stress corrosion cracking in Nuclear reactors, time permitting.
Software Education Model for Artificial Intelligence Learning by Beginning Learners

Recently, artificial intelligence technology is taking roots in various sectors as a core technology that will lead the knowledge and information society. Interest in Artificial Intelligence education is growing as it is time to prepare for Artificial Intelligence education in addition to existing information literacy education. However, students who are not computer majors tend to perceive Artificial Intelligence technology as a difficult field, which is why a more efficient Artificial Intelligence education is needed. Therefore, this study reviewed educational programming languages and Artificial Intelligence education methods and proposed an Artificial Intelligence education program that offers Artificial Intelligence learning based on the supervised learning theory of machine learning. As for learning suitability test of the program developed in this study, the program was found to be valid as a result of expert validity analysis and it produced positive results when applied to learners. Based on these findings, the program is expected to be the basis of research on Artificial Intelligence education implementable for non-computer majors who are beginning to learn Artificial Intelligence.
VQE Algorithm in Quantum Chemistry

For a complex quantum system, the dimensionality of the Hamiltonian grows exponentially with the size of the system, making it difficult to perform fast large-scale simulations and calculations on a classical computer. The first Variational Quantum Eigenvalue solver (VQE) proposed by Peruzzo et al. This gives the possibility of highly accurate molecular simulations and calculations in the field of quantum chemical computing. VQE is roughly based on the principle of using a quantum computer and set up a trial wave function |ψ(θ)⟩=U(θ)|ψ0⟩ to measure the energy expectation of the wave function |ψ(θ)⟩ at the corresponding initialization parameter, and then using a classical optimization algorithm to iterate θ0→θn over the energy to minimum until convergence. The significance of this paper is to verify the accuracy as well as the feasibility of the VQE algorithm for the calculation of LiH molecules in STO-3g basis, and to perform an error analysis and to verify the exponential acceleration of the classical algorithm implementation. These results shed light on guiding further exploration focusing on quantum computingt.
Training in the process of stage movement classes

Disciplines, which constitute a mandatory list of the actor’s professional training have long been formed within the structure of the pedagogical process in theatrical higher educational institutions. Naturally, the question concerning the effectiveness of the method used to work with students in developing their necessary skills and abilities becomes urgent.&#x0D; The purpose of the article is to analyse and compare the educational process concerning the disciplines included in the stage movement system, to reveal more effective method for students’ training in educating the basics of plastic culture for future actors, to identify and justify the necessary conditions to make the learning process more successful under normal life circumstances.&#x0D; The methodology. The research was carried out using the analysis of the conditions for giving classes and the effectiveness of using two different teaching methods — dressage and training.&#x0D; The results. The main difference between training and dressage is the process of awareness of one’s muscle sensations and understanding of the upcoming action. The article confirmed that the method of physical and psychophysical training is the most suitable for working with students during stage movement classes. In case of understanding one’s physical sensations, which to a greater extent depends on the desire of a person himself, the method of training allows to develop and train professional skills and abilities. The student learns to control the body consciously, and the body gradually begins to obey responding to the thoughts of a person that allows to reflect the character’s interior life through external manifestations (gestures, postures, body movements) more accurately, and create in each new image own special plastic expression, inherent only in the particular role. The actor’s technique is just a means of expressing the personage’s character in accordance with the author’s idea and keeping the meaning of the composition itself. As the author notes, more effective training of students in special movement disciplines requires certain conditions — namely, the availability of space, special equipment and physical presence of a partner.&#x0D; The scientific novelty of the article lies in the generalization of the experience of applying training in practice during the process of teaching them the basics of plastic culture. The article is an attempt to substantiate the use of physical and psychophysical training for the development of future actors’ necessary skills and abilities.&#x0D; The practical significance lies in the fact that certain conditions and the use of a more effective method of work — psychophysical training — are required to teach students the basics of stage movement. The materials of the article can be used for practical activities of stage movement teachers and for further research in this area.