Reviewerly/exHarmony huggingface dataset:
A Few More Words: Advanced TypeScript

In the last chapter, we started looking at TypeScript as a replacement for JavaScript in our projects (though, of course, you now know that it’s not actually replacing JavaScript at all, it’s just enhancing it significantly). Now it’s time to turn the dial up to eleven and explore some other aspects of TypeScript.
Green Method: The Performance of Biochar in Water Filtration

Abstract: The results of measuring the power of Hydrogen (pH) of 5.5 mg/l and Total Dissolved Solid (TDS) of 3.20 mg/l level of water wells in a village, including in a school of Madrasah Tsanawiyah Negeri 5 in Tanjung Medan Rokan Hulu is considered not within permissible limit of World Health Organization (WHO) standards. For that reason, experimental research was conducted by firstly designing and making a water filtration device from Polyvinyl Chloride pipe of 4 inch in diameter, 100cm long, and 1 inch channel in and out. With the green method treatment, the biochar used are Coconut Shell Charcoal (CSC) and Bagasse Charcoal (BC), with additives material such as River Sand (RS), Fiber Palm (FP), and Crushed Gravel (CG). The results of the analysis prove that the best performance of Biochar in Water Filtration (BWF) to increase the content the pH of water to 89.09% is done by Coconut Shell Charcoal (CSC) biochar. While the best for reducing the water TDS level is performed by Bagasse Charcoal (BC) at 64.06%. The performance for pH increases and at the same time decreases the TDS level of water is done by Bagasse Charcoal (BC) biochar with a pH of 7.8 mg/l, and a TDS of 1.15 mg/l. Meanwhile, the filtration combination matrix that produces water according to the WHO standard permissible criteria is (A6+B6+C6+D1+E6), (A6+B6+C2+D2+E6), (A6+B6+C3+D3+E6), (A6+B6+C4+D4+E6), and (A6+B6+C5+D5+E6), as well (A6+B6+C1+D6+E6). So, it can be concluded that Biochar in Water Filtration (BWF) needs to be developed.
Inheritance

No one likes to write the same code repeatedly to create an application. In fact, novice programmers often like to copy and paste existing code and then modify that code to fulfill a need. An expert programmer knows that this is not a recommended practice. Why? The short and simple answer is that you inherit any existing bugs. In addition, when you copy and paste a code segment and start using it in different parts of your application, you introduce lots of duplicate code. As a result, the overall maintenance becomes tough, because an update required in one place demands you find and update all other places that code appears. So, what are the alternatives? You know the answer: inheritance. This chapter covers the following topics:
Development of Learning Media Android-Based Physics Laboratory To Improve Learning's Competence On Black Body Radiation

Learning physics through the development of learning media with the android based physics laboratory is expected to increase the competence of students in the black body radiation material. This research is a development research (Research and Development. The results of the analysis obtained as many as 73% of students think that the development of learning media Android Based Physics Laboratory is very effectively used for learning black body radiation and 26% of students think that learning media Android Based Physics Laboratory is learning which is creative and interactive as well as an additional supplement in the teaching and learning process. The test given to students shows a significant increase in learning outcomes. These indicators can be seen from the average Pre-Test score of 49.67 to 80.64 in the Post-Test. The value of t count &lt; t table, this shows that the Android Based Physics Laboratory learning media can improve student learning outcomes.P Value is smaller than alpha 5% (0.05), meaning that there is a significant difference between learning outcomes before and after the application of your learning media roid Based Physics Laboratory. The distribution of the skill scores of students is in the range between 80 to 90, this shows that learning activities with android based physics laboratory media have a good impact on students.
Conditional Sentences

This chapter looks at the various types of conditional sentences in the Art of War. We categorized these in a set of patterns instead of a single one. Therefore these are placed in a separate chapter, together with argumentative structures, where each structure is a series of conditional sentences, together forming an argumentation with a conclusion.
Model Student Facilitator and Explaining untuk Meningkatkan Aktivitas Guru dan Hasil Belajar Siswa

Abstract: The purpose of this study to explore social studies learning outcomes with the Student Facilitator and Explaining learning model. The method used a classroom action research approach. The subject of research was 8th grades, 34 students and consist of two classes, namely A and B classes. The results of study were student learning activities increased, in the 1st cycle 56,25%, in the 2nd cycle reaching 86,75%; Teacher activity has increased, in 1st cycle 72%, 2nd cycle reached 87,89%; While student learning outcomes 1st cycle 59,06% has increased in 2nd 83,18%. The conclusion is the facilitator and explaining models has increased both student activities and teachers, also learning outcomes sighnificanly.
The Effect Of Learning Quality, Service Quality, And Promotion on Decission To Choose School At SDIT Mutiara Rahmah Balikpapan

Purpose: This study aims to determine the effect of the independent variables, namely Quality of Learning (X1), Quality of Service (X2), and Promotion (X3), on the dependent variable, namely Decision to Choose (Y) at SDIT Mutiara Rahmah Balikpapan.&#x0D; Design/methodology/approach: This study uses a non-probability sampling technique using a sample of 200 respondents. Data collection techniques are questionnaires, observations, interviews.&#x0D; Findings: Based on the results of multiple regression analysis, the correlation coefficient (R) was obtained. From the results of multiple linear regression analysis, the R value was 0.663 and the determinant R Square value (R2) was 0.401. The F_count value obtained is 43,649. This value is far above the F_table value of 2.65 with a significance level of = 0.000 which is far from 0.05.&#x0D; Research limitations/implications: Thus, it can be concluded that the variables of learning quality (X1), service quality (X2), and promotion (X3), influence simultaneou&#x0D; sly on the decision to choose SDIT Mutiara Rahmah Balikpapan.&#x0D; Originality/value: The results of the t-test of the hypothesis indicate that the three independent variables, namely the quality of learning (X1), service quality (X2), and promotion (X3), each partially have a significant effect on the decision to choose SDIT Mutiara Rahmah Balikpapan.&#x0D; Paper type: Research Paper
Geochemical fingerprinting sources of arsenic, aluminum, and lead to the San Juan River through the Navajo Nation, Four Corners region, USA

The San Juan River, located in the semi-arid Four Corners region
Biotite and Chlorite Geothermometry of the Lomas Bayas Porphyry Copper Deposit in Northern Chil&amp;eacute;

The Lomas Bayas porphyry copper deposit is located in northern Chilé approximately 110km north east of the port city of Antofagasta.The deposit is hosted by a Paleocene granodiorite which has been intruded by a feldspar porphyry (Chávez, 1998).The predominant alteration present is a weak K-silicate constructive potassic alteration characterized by biotite + K feldspar + quartz with biotite replacement of magmatic mafic minerals.This has been overprinted by incipient -weak chloritization.The purpose of this study is to determine the temperature of formation of the hydrothermal alteration at Lomas Bayas by using electron microprobe analyses of hydrothermal biotite and chlorite grains for use as a vectoring tool in exploration, focusing on the Ti and Mg# (Mg/Mg+Fe) relationships as a function of temperature described by (Henry et al.,
USING MULTIVARIATE STATISTICAL METHODS FOR IDENTIFYING THE PROBABLE ORIGIN OF ARSENIC CONTAMINATION IN GROUNDWATER

The contamination of groundwater resources by heavy metals, especially arsenic (As), is a significant hazard that threatens human health and the environment.In the present study, As contamination and its probable origin were investigated in the groundwater resources of the Sirjan Plain, Iran.For this purpose, groundwater samples were taken from 22 exploitation wells and analyzed for As, Cd, Mo, Se, Fe, Al, Ca 2+ , Na + , Mg 2+ , K + , Cl -, SO4 2-, HCO3 -, TDS, EC, TH, and pH in June 2017.The results showed that As had a variation ranging from 1 μg/L to 195 μg/L.In this regard, 68.1% of the groundwater samples contained As concentrations more greater than the 10 μg/L threshold proposed by the World Health Organization.The highest As concentrations were detected in the northeastern and central parts of the plain.Meanwhile, a declining trend was observed in the samples from the north and south of the plain.In the next step, correlation analysis and multivariate statistical analysis, including principal component analysis and cluster analysis, were carried out to extract associations among the studied parameters.The results showed that As from Fe and Al oxyhydroxides surfaces under oxidizing conditions was a significant factor causing As contamination in the Sirjan Plain.The knowledge gained from this study helps to better understand the mechanisms of As contamination, which is useful for decisionmakers regularly monitoring As concentrations in the Sirjan area's groundwater.It is concluded that multivariate statistical techniques are helpful tools in the current dataset and the study area.
Vibration Analysis of an Industrial Motor with Autoencoder for Predictive Maintenance

This paper describes the implementation of a vibration analysis in an industrial servo motor for anomaly detection. For this, a test bench was built with the purpose of simulating an industrial process. The vibration analysis was performed with an accelerometer which took the acceleration data from a running engine. For the detection of anomalies, an Autoencoder was used which was trained with samples of the normal operation of the motor in order to reconstruct a “normal operation” signal. Once the model was trained, the MAE (Mean Absolute Error) is used to see the differences between the analyzed signal and the one reconstructed by the Autoencoder, if the difference is greater than a threshold, the signal is classified as an anomaly. The proposed methodology represents an alternative to perform vibration analysis in rotative machines and can be used to conduct predictive maintenance in several industrial processes.
Teachers Beliefs and Practices on Teaching Speaking Using English Songs

Abstract To know about the teachers’ beliefs on teaching speaking using English songs, the teaching plans prepared before starting to teach using English songs, the process of teaching, and teachers assess students after teaching using English songs. This study used the Qualitative paradigm research method and design of this research was a case study. This study's subjects were two English teachers at SMPN 3 Tewang Sangalang Garing. The instrument in this study were; observations (field-note) Questionnaire and interview with the English teachers. The data were analyzed by reducing, analyzing, and concluding. The research found the teacher believes in the use of English song media, it is clear from how the teacher applies it during the learning process in the classroom, can concluded the teachers’ process used three stages (a) opening, (b) main activity, and (c) closing. Teachers also believe that the use of English song media is very effective, but they also claim that all the media used are very effective, it's just that there are differences when using song media and not. It was found that using the media song students became more enjoy, happy, not bored in class, easier to understand explanations and able to speak more fluently. However, teachers also face difficulties and challenges in using the song media because of the limited school facilities.
EFL learners' perception of the project-based learning method in extensive reading course

The lack of English reading ability in Indonesian students is a common problem, and many times the teacher uses the Project-Based Learning (PBL) method to help students improve their English reading ability. This study wants to portray students' perception of the PBL method in the English extensive reading course. Data of this study were collected through interviews. The participants of this research involved five students from the English Extensive Reading class. The data were analyzed using Miles and Huberman analysis technique. By using a narrative inquiry, this study found that, according to the students' perception, the teacher provides projects that aim to support understanding of the material that has been given to students. In that activity, the teacher has a role as a facilitator. She guides the students to do the project and provides feedback to them. However, in the process of implementing PBL, the students find it difficult in terms of time because the project takes a long time. Overall, PBL help students comprehend better in the English extensive reading course.
Mixing Story and Simulation in Interactive Narrative

Simulation is a common feature in computer entertainment. However, in computer games simulation and story are often kept distinct by interleaving interactive play and cut scenes. We describe a technique for an interactive narrative system that more closely integrates simulation and storyline. The technique uses a combination of semi-autonomous character agents and high-level story direction. The storyline is decomposed into directives to character agents to achieve particular world states. Otherwise, character agents are allowed to behave autonomously. When the player&amp;rsquo;s actions create inconsistency between the simulation state and storyline, the storyline is dynamically adapted and repaired to resolve any inconsistencies.
An extended approach of weight collective influence graph for detection influence actor

Over the last decade, numerous methods have been developed to detect the influential actors of hate speech in social networks, one of which is the Collective Influence (CI) method. However, this method is associated with unweighted datasets, which makes it inappropriate for social media, significantly using weight datasets. This study proposes a new CI method called the Weighted Collective Influence Graph (WCIG), which uses the weights and neighbor values to detect the influence of hate speech. A total of 49, 992 Indonesian tweets were and extracted from Indonesian Twitter accounts, from January 01 to January 22, 2021. The data collected are also used to compare the results of the proposed WCIG method to determine the influential actors in the dissemination of information. The experiment was carried out two times using parameters ∂=2 and ∂=4. The results showed that the usernames bernacleboy and zack_rockstar are influential actors in the dataset. Furthermore, the time needed to process WCIG calculations on HPC is 34-75 hours because the larger the parameter used, the greater the processing time.
AN ANALYSIS ON THE STUDENTS’ COHESION AND COHERENCE IN THEIR DESCRIPTIVE PARAGRAPH

This research aimed to found what types of cohesion that commonly used by the English department students of University of Muhammadiyah Makassar in their descriptive text and to find out how is the students ability in making their text coherence. This research used descriptive research. Purposive sampling technique was applied to select the sample. The population of this sample was the third semester students of English department in Muhammdiyah University of Makassar. The number of sample was one class that is consists of 13 students. The data obtained by giving a writing test to the student. The research findings showed that the students used 82% reference in their descriptive text and followed by conjunction in 15.1% , while ellipsis and substitution only 1.21% used by the student. Thus, 41% students already in a good level of writing ability even there are still some mistakes and followed by 33% of student already got out standing level that means they already can make their text correctly coherence and there are 23% students still need to improved their skill so they can make their text coherence.
Glomerulosclerosis Identification Using a Modified Dense Convolutional Network

Glomerulosclerosis is a common kidney disease characterized by the deposition of scar tissue, which replaces the renal parenchyma, and is quantified by renal pathologists to indicate the presence and extent of renal damage. It is paramount to guide the appropriate treatment and minimize the chances of the disease progressing to chronic stages. Thus, to identify glomerulus with sclerosis, this article proposes a convolutional neural network (CNN) inspired by convolutional blocks of DenseNet-201 but with smaller dense layers. We analyzed five CNNs - VGG-19, Inception-V3, ResNet-50, DenseNet-201, and EfficientNet-B2 - to define the best CNN model and evaluated several configurations for the fully connected layers. In total, 25 different models were analyzed. The experiments were carried out in three datasets, composed of 1,062 images, on which we applied data-augmentation techniques in the training set. These CNNs demonstrated effectiveness in the task and achieved an accuracy of 92.7% and kappa of 85.3%, considered excellent.
Research on Global Path Planning based on Improved A* Algorithm

This paper looks at demand issues in path planning for mobile robots. The discussion of the A* algorithm in path planning algorithms has been important, although the algorithm is relatively computationally mature and simple, it suffers from a number of shortcomings, such as long search time, large turning angle, occupy a large amount of memory and insufficiently smooth paths, among other prominent problems. One limitation of previous research is that it usually focuses on algorithm improvement and neglects environmental map modeling. In this paper, the improved A* algorithm is combined with a positive hexagonal raster map. Environmental map modeling is the basis for path planning. This paper investigates the construction and movement directions of two different grid types, and analyzes the effects of different grid types on the final planning under the same environment and the same path planning algorithm. For the A* algorithm, the forward and reverse bidirectional cross-search strategy and dynamic weighting strategy are introduced to obtain the dynamic weighted bidirectional A* algorithm. The experimental results show that the dynamic weighted bidirectional A* algorithm based on honeycomb raster can reduce the number of search rasters in path planning, shorten the total length of the path and effectively improve the planning efficiency.
Time to Die 2: Improved In-Game Death Prediction in Dota

Competitive video game playing, an activity called esports, is increasingly popular to the point that there are now many professional competitions held for a variety of games. These professional competitions are often broadcast in a professional manner similar to traditional sports broadcasts. The ability to perform moment-to-moment prediction within an esports match has numerous applications. Importantly, it has the potential to empower broadcasters to better process the oft-fast-paced nature of an esports match. This work focuses on this moment-to-moment prediction and in particular presents techniques for predicting if a player will die within a set number of seconds for the esports title Dota 2. We train our model on ‘telemetry’ data gathered directly from the game itself, and position this work as a follow up to our previous work on the challenge (Katona et al., 2019). Since the publication of that work, new dataset parsing techniques developed by the WEAVR project enable the model to track more features, namely player status effects, as well as more importantly operate in real time. Additionally, we explore two extensions to the original model, firstly we employ learnt embeddings for categorical features, e.g. which in game character a player has selected, and secondly we explicitly model the temporal element of our telemetry data using recurrent neural networks. We find that these extensions and additional features all aid the predictive power of the model. Additionally, a deeper analysis of the Time to Die model is carried out to assess it’s suitability as a broadcast aid.
STUDENTS’ ABILITY IN WRITING NARRATIVE TEXT: AN EXPERIMENTAL STUDY AT MA DARUSSIDIQIN NW MERTAK PAOK

This research is aimed to measure the students’ ability in writing narrative text. The population of this research are all students of MA Darussiddiqien NW Martak Paok. The researcher takes 20% from the number of population; it’s mean that the researcher takes 40 students as the sample. This research is categorized into quantitative research. The data of this research is collected through tests. Looking at the result of analyzing the data, the students are able to write narrative text, the students’ mean score 68. There were 35 students (87,5%) who got good and there were 5 students (12,5%) who got fairly good, there were 36 students (87,5%) who got poor and there were none of students who category very good. The students’ level in writing narrative text was fair.
PEMANFAATAN DESAIN GRAFIS SEBAGAI MEDIA PROMOSI UNTUK MENUNJANG PENJUALAN BUKU KOMIK ULTIMATE GLAD

Technological developments are also needed in the field of communication, especially in the book publishing industry. Now, the comic industry in Indonesia is very busy, where almost all bookstores in big cities sell various types of comics. However, what is quite worrying is that most of the comics sold in these bookstores are translated comics. The dream about the rebirth of Indonesian comics as a renaissance is far from reality, although it is possible that it will rise again in the future. Moreover, with the entry of imported comics from Europe, East Asia, and America, the position of local comics is increasingly pressing. Moreover, Indonesian comics are also losing interest, because they are dominated by Japanese and Korean comics. Through these problems, efforts to promote Ultimate Glad comics need to be done creatively, namely promoting comics using the Merchandise method. Creative here is not just using promotional media, but how to promote efforts to get awareness and engagement of old consumers or new potential customers through direct interaction between merchandise products and consumers. Merchandise as the most appropriate promotional media because it can win the competition in attracting the attention of consumers. With a very unique and attractive design, it will be easier to introduce the "Ultimate Glad" comic to potential consumers, especially teenagers and comic lovers in Indonesia.