Reviewerly/exHarmony huggingface dataset:
Optimization of Thermal Decomposition Conditions of Bone to Achieve the Highest Percentage of Crystalline Phase in Bone Char using Gene Expression Programming and Artificial Neural Network

Bone char (BC) is one of the most common adsorbent with extensive applications in the removal of pollutions. The adsorption capability of BC is proportional to the crystalline index, i.e, the atomic ratio of Ca/P. This study is an attempt to model the crystalline index of BC that by thermal decomposition of natural bone using artificial neural network (ANN) and genetic expression programming (GEP). In this regard, 100 various experimental data used to construct the ANN and GEP models, separately. Through the data collection step, heating rate, the type of precursor, calcination temperature, and residence time selected as the inputs for the preset output as Ca/P ratio. The results reveal that the minimum amount of Ca/P ratio are at the heating rate 10 °C/min, HNO3 1.6 M as activation agent, calcination temperature 1000 °C, and residence time 2 h. R squared indices is used to compare the performance of extracted models. Finally, the best ANN uses to investigate the effect of each practical variable by sensitivity analysis and revealed that the residence time is the most effective parameter on the crystalline index while acid activation is of secondary importance.
Avoiding as much "Novel Pains In The ...

Avoiding as much Novel Pains In The Buttestry as possible building a new Web platform. Challenge accepted.
Analysis and Design of User Interface Design and Using SWOT Concept for Optimizing Canteen Services

For canteen and food court services optimization, a sistem is needed which able to handle problems, such as full table and consumers have to wait, a long queue of payments and must submit proof of payment to the seller so that food is prepared. Android-based E-CANTEEN application has features such as desk booking, so consumers don't have to worry about don’t get a table, food ordering, so consumers can order food before coming to the canteen and don't have to wait long for food ordered, internal e-wallet in a balance form so there is no need to queue to pay, unless Top-up the e-wallet balance. Consumers don’t have to go back to the seller's booth to show proof of payment, e-wallet reduces the risk of a small cash problem, all records on the E-CANTEEN sistem will be stored in the database thereby reducing printing costs, and avoiding the risk of spillage. The information sistem design using SDLC methods meanwhile business process analys using SWOT methods. Keywords : E-CANTEEN, e-wallet, SDLC, SWOT.
Pengaruh Model Student Teams Achivement Division (STAD) Terhadap Prestasi Belajar Siswa

The research objective was to determine how much influence the application of the Student Teams Achievement Divisions has on student achivement and understanding of the consept student learning material. This research uses the Action Research method which is carried out in two cycles, in each cycle carrying out the planning, application, observation, and reflection stages. The subjects of this research were 25 students of class V MIM 1 Bumirejo. The data analysis technique uses descriptive quantitative and data obtained from the test. The result showed the level of attainment of student learning completeness information in cycle 1 was 44%, in cycle 2 it was 84 %, meaning that the application of the Student Teams Achievement Divisions type of cooperative learning model increased by 40%. In the description of the test results for understanding the concept of learning materials based on the achievement of the KKM, students experienced a significant increase in the concept of learning material.
Fast Binarized Neural Network Training with Partial Pre-training

Binarized neural networks, networks with weights and activations constrained to lie in a 2-element set, allow for more time- and resource-efficient inference than standard floating-point networks. However, binarized neural networks typically take more training to plateau in accuracy than their floating-point counterparts, in terms of both iteration count and wall clock time. We demonstrate a technique, partial pre-training, that allows for faster from-scratch training of binarized neural networks by first training the network as a standard floating-point network for a short amount of time, then converting the network to a binarized neural network and continuing to train from there. Without tuning any hyperparameters across four networks on three different datasets, partial pre-training is able to train binarized neural networks between 1.26× and 1.61× faster than when training a binarized network from scratch using standard low-precision training.
ANALYSIS OF FRENCH INFORMATICS TRANSLATION METHOD VOCABULARY IN INDONESIAN LANGUAGE

Abstract: This study is aimed to find out how to analyze translation methods in French informatics vocabulary into Indonesian; the most widely used translation method and how to translate the types of translation methods contained in the list of «informatics vocabulary». This research has been carried out in the Reading Room of Building B of the Faculty of Language and Arts at UNIMED. The method that had been used in this research is qualitative descriptive. The translation methods found are very varied and have their own characteristics. We can see that the translation method that mostly appears is the adaptation translation method that appears 18 vocabularies or 45%, followed by by word translation method that appears 14 vocabulary or 35%, then the translation method semantics 4 vocabularies or 10%, and the free 4 vocabularies or 10% translation method.
PEDAGOGICAL COUNSELING OF ADOLESCENTS AT RISK IN A PUBLIC ASSOCIATION DURING THE COVID-19 PANDEMIC

Abstract. The paper presents a perspective on pedagogical counseling for adolescents at risk in a children’s public association during the COVID-19 pandemic. The directions of pedagogical counseling of adolescents at risk are described with their focus on social responsibility, responsible attitude to their future, the future of our country, and the nation’s health during the COVID-19 pandemic. The paper shows the experience of implementing the system of pedagogical counseling for adolescents at risk in a public association during the coronavirus pandemic. It also presents the findings of an empirical study on the formation of social responsibility in adolescents at risk during the COVID-19 pandemic. Materials and methods. The study employed retrospective and comparative types of analysis of scientific sources, testing of adolescents at risk, content-analysis of documents of public associations and educational organizations, and analysis of the public associations’ experience. Research results. The study identifies the methodological framework of counseling for adolescents at risk in a public association, describes the experience of implementing the pedagogical counseling for adolescents at risk and members of a public association during the coronavirus pandemic. The scientific novelty of this study lies in the transformability of the pedagogical counseling system from an offline to an online format. This system allows working with children both in direct contact and in a distant way. Conclusion. The findings made it possible to put into practice the online system of pedagogical counseling for adolescents at risk, which emphasizes a responsible attitude to their future, the future of our country, and the national health. The research materials can be useful to counselors, organizers, educators, psychologists, deputy directors of educational organizations, students, scientific and pedagogical community. Keywords: COVID-19 pandemic, coronavirus, pedagogical counseling, adolescents at risk, public associations.
Using Synthetic Data to Improve the Long-range Forecasting of Time Series Data

Effective long-range forecasting of time series data remains an unsolved and open problem. One possible approach is to use generative models to improve long-range forecasting, but the challenge then is how to generate high-quality synthetic data. In this paper, we propose a conditional Wasserstein GAN with Gradient and Error Penalty (cWGAN-GEP), aiming to generate accurate synthetic data that preserves the temporal dynamics between the conditioning input and generated data. By using such synthetic data, we develop a long-range forecasting method called Generative Forecasting (GenF). GenF consists of three key components: (i) a cWGAN-GEP based generator, to generate synthetic data for next few time steps. (ii) a predictor which makes long-range predictions based on generated and observed data. (iii) an information theoretic clustering (ITC) algorithm to better train the cWGAN-GEP based generator and the predictor. Our experimental results on three public datasets demonstrate that GenF significantly outperforms a diverse range of state-of-the-art benchmarks and classical approaches. In most cases, we find an improvement of at least 10% over all studied methods. Lastly, we conduct an ablation study to demonstrate the effectiveness of the cWGAN-GEP and the ITC algorithm.
Empirical Study of Customer Satisfaction and Customer Loyalty: The role of Innovation Capability and Ethical Behavior

Banking sector need to find the right strategy in providing Customer Satisfaction and increase Customer Loyalty. Based on previous empirical research, this study emphasizes the importance of Innovation Capability and Ethical Behavior as the antecedents of Customer Satisfaction. Data were collected from 200 customers of Bank in Pamekasan regency and analyzed using Structural Equation Model (SEM). The major findings include first, Innovation Capability has significant effect on Customer Satisfaction. Second, Ethical Behavior has significant effect on Customer Satisfaction. Third, Customer Satisfaction has significant effect on Customer Loyalty.
Cognitive reading strategies employed by form three English as a second language (ESL) students

Previous studies reported that many low proficiency students have poor comprehension skills. Therefore, this research aims to study the cognitive reading strategies employed by ESL (English as Second Language) students and suggest appropriate cognitive strategies to be utilized by low proficiency students. This research was carried out in one of the secondary schools in Pasir Gudang, Johor. The purposive sample for this study consists of 60 Form 3 students (30 low proficiency and 30 high proficiency). Explanatory sequential mixed method design was used to carry out this research. The data collected via questionnaire, observation and interview for this research is analysed quantitatively and qualitatively. Descriptive analysis was used to analyse data gained from questionnaire and observation whereas for the interview data, extracts from the interviews were used to corroborate the findings. The findings reveal that the most common cognitive reading strategies employed by both group of students are skimming and translation. This research further highlights the most significant difference in reading strategies between both groups of students, which is, the high proficiency group outperformed the low proficiency group in overall strategy use, demonstrating the most frequent use of the strategies. Most prominently, in this research, the reading strategies that are deemed appropriate for the low proficiency students are highlighted. These strategies include four cognitive strategies; guessing, elaboration, summarizing and prediction.
‘AIClopedia’: How Does It Facilitate Gen-Z Students in Learning English?

Gen-Z has specific characteristics, one of the characteristics is being strongly connected to technology. It makes teachers nowadays should be able to facilitate them with technology-based learning media. One of the technologies that can be applied is Artificial Intelligence (AI). AI provides a self-directed learning activity where the students can learn by themselves using technology anywhere and anytime. This study aimed at developing a prototype design of AIClopedia (Artificial Intelligence Encyclopedia) by using the ADDIE method. AIClopedia is a learning media that can be used by the students in learning English which focuses on providing descriptive information of Indonesian endemic animals in two different languages (English and Bahasa Indonesia). The prototype has been judged by educational material and ICT media experts. The data of expert judgment rubrics showed that the prototype was categorized as excellent. It implied that the media can be used in facilitating Gen-Z students in Learning English.
LibGuides: American Indian Law Collection: Help Resources

A collection with more than 3,300 titles and more than 1.4 million total pages dedicated to American Indian Law, including treaties, federal statutes, federal case law, tribal codes, constitutions, and more. Articles, guides, videos, and more relating to the American Indian Law Collection and HeinOnline.
A Web-Based Real-Time Information Management and Control System for Shield Construction

Shield construction integrates mechanical, electrical, hydraulic, and other integrated equipment, which can use the internet for the data transmission. Therefore, a real-time management and control system for shield construction is produced. Firstly, this paper introduces the classification and application functions of shield construction information system in current usages, come up with the basic principle of shield construction management and control system, describes the hierarchical structure, functional structure, software structure, and key functions of the system in detail. It describes the system from two aspects, which are software environment and hardware environment. The paper detailly introduces data acquisition, database, and communication. Finally, the paper introduces the system′s structure. The effect and the influence of implementation and internet security have been analyzed.
Using JShell in CS1

A recent update to the Java Language and Java Development Kit (JDK), version 9, has added an official REPL (JShell). JShell allows instructors to introduce Java programming concepts more selectivel...
LibGuides: MCCC Libraries Student Guide Fall 2021: Library Overview

Here you will find information on library hours and access to services, resources and ways to contact staff for assistance.
The Coupling Effect of Lipschitz Regularization in Neural Networks

We investigate the robustness of feed-forward neural networks when input data are subject to random uncertainties. More specifically, we consider regularization of the network by its Lipschitz constant and emphasize its role. We highlight the fact that this regularization is not only a way to control the magnitude of the weights but has also a coupling effect on the network weights across the layers. We claim and show evidence on regression and classification datasets that this coupling effect brings a trade-off between robustness and expressiveness of the network. This suggests that Lipschitz regularization should be carefully implemented so as to maintain coupling across layers.
Mobile offline networked learning for teacher Continuing Professional Development in Zambia

Networked learning enables learners to access and create digital resources and learn with peers, supporting the co-construction of knowledge (Goodyear et al. 2005). However, for many in developing countries, internet access is too expensive or unreliable. We have explored an alternative, using low-cost, battery-powered small computers as networked hubs enabling learners to work together and share resources in proximity using their own WiFi-enabled mobile devices (e.g. smartphones). This takes advantage of the mobility of the devices and users, domestication of smartphones into everyday practices, and offers network-enhanced collaborative learning independent of the internet. We call this approach ‘offline networked learning’ (Kukulska-Hulme et al. 2020). Here, we consider one collaboration supporting teacher education in Zambia. Teachers in sub-Saharan Africa can be limited in their access to effective continuing professional development training (CPD), impacting their capacity to learn from best practice and improve their teaching approaches. This is compounded by a lack of physical resources such as training guides. Internet or cellphone services are seen as an innovative way of supplying digital resources and online training, but are hindered by limited or expensive network coverage, leaving poorer-resourced and more remote educators behind. Our tools enable these teachers to work collaboratively accessing digital resources, supporting them in developing new practices where network access cannot be assured. We report on work-in-progress and the initial experiences of an ongoing pilot within the ZEST (Zambian Education School-based Training) project, where university educators have worked with local educators in CPD workshops and introduced network hubs with open educational resources for onward use by school-based teachers. Work so far suggests an offline networked learning system offers a potentially sustainable element of a practice-based approach to teacher development which supports shared knowledge co-construction in schools with limited network access, enhancing current provision; and already shows hints of appropriation to support locally owned educational purposes.
PERSONAL ORIENTED TECHNOLOGIES AS AN INNOVATIVE TOOL FOR TEACHING ART STUDENTSTHE USE OF INNOVATIVE

The article highlights the issues of features of personality-oriented technologies as an innovative tool for teaching students of art faculties. Source material and own pedagogical experience allows us to actualize the problem of the importance of using innovative technologies that contribute to the effective assimilation of professional knowledge of future teachers. Technologies of free education, humanistic-personal and cooperation are highlighted. The purpose of the article is to reveal the essence of personality-oriented technologies as an innovative tool for teaching students of art faculties of higher educationalinstitutions. The research methodology is based on an interdisciplinary approach that involves the use of not only General scientific methods of analysis, synthesis and generalization, but also the method of comparative analysis, which is used in understanding the problems associated with the study of the impact of innovative technologies on the personal-oriented training of students at art faculties. The results of scientific research have shown that the use of innovative technologies makes it possible to develop a personality-oriented approach in teaching students at art faculties. The most effective development of students is provided by a continuous system of education and comprehensive pedagogical influence. The scientific novelty consists in revealing the essence of personality-oriented technologies as an innovative tool for teaching students of art faculties of higher education institutions. It is established that personality-oriented learning is learning that is focused on the student as the main value of the educational process (student-centered learning). The principles of a person-centered approach to art education of young people make the use of appropriate technologies a subdominant of the pedagogical process, which allows us to purposefully monitor the impact of its factors on the professional development of students. The practical significance of the work lies in the fact that the actual material and the results obtained on personality-oriented technologies in music education, which constitute the essence of an innovative tool for teaching students, will contribute to expanding the area of pedagogical thought, the study of the value-semantic component of scientific discourse.
Humanizing strategy

In this article, we apply our latest thinking on knowledge to provide insights on how to reconceptualize strategy to cope with a VUCA world, epitomized recently by COVID-19 We demonstrate that business leaders must draw on phronesis, or practical wisdom, for strategy to become more future-oriented, society-focused, dynamic, and human-centric Using in-depth case studies, we show how companies will survive in the long run if they start with a moral purpose, and end by offering value to customers, contributing to society, living in harmony with nature, and creating a new and better future We came up with six practices that enable business leaders to create new and better futures, citing evidences from neuroscience We conclude that humans should be at the center of strategy, driving future-making with the help of digital-led automation Reconceptualizing strategy based on this “inside-out” approach, the reward to the company is resilience, longevity, and sustainability © 2021 Elsevier Ltd
Hubungan Kecerdasan Emosi Dan Dukungan Sosial Dengan Motivasi Berprestasi Santri Pondok Pesantren Mahasiswa Al Musawwa Surakarta

The purpose of this study is to determine the relationship between emotional intelligence and social support with achievement motivation, the hypotheses proposed in this study include: 1) there is a positive relationship between emotional intelligence and social support with achievement motivation, 2) there is a positive relationship between emotional intelligence and achievement motivation. , 3) there is a positive relationship between social support and achievement motivation. The population in this study were all students of the Al Musawwa Surakarta Islamic boarding school, with a sample of 100 students. The sampling technique used was non random sampling technique with quota sampling procedure. The method used is quantitative with measuring instruments of emotional intelligence scale, social support scale and achievement motivation scale. The data analysis used multiple regression techniques with the SPSS 16 application. Based on the results of the analysis, it showed that there was a positive relationship between emotional intelligence and social support with achievement motivation among students. Meanwhile, the results of the analysis of the emotional intelligence variable with achievement motivation show that the higher the emotional intelligence for the students, the higher the achievement motivation of the students or vice versa. Then the results of the analysis of social support variables with achievement motivation variables indicate that the higher the social support for the students, the higher the achievement motivation of the students.
Pemodelan Medan Listrik Pada Dua Muatan Titik Menggunakan Microsoft Excel Untuk Menentukan Posisi Bermedan Listrik Nol

Abstract The research aims to model the electric field of two charge points using Microsoft Excel to determine the position of zero electric field. The research method is for simulating two points electric field graph, for various models of electric charge, and then determine the position which the electric field is worth zero. The results showed that for two similar charges (positive and positive) or (negative and negative), the zero electrical position is located between the two charges and is closer to the smaller charge. As for two different charge types, the zero-power position is located outside both charges and near smaller charge. This shows that modeling the electric field using Microsoft Excel can be utilized to determine the position of zero electric field. Keywords: Electric field modeling, Two charge points, Microsoft Excel.
LibGuides: 3D Drop-off Services: Using Cura to Preview Print Time

Interested in utilizing PPLD's 3D drop-off services? This guide covers everything you need to know for submitting and picking up your 3D drop-off.