Reviewerly/exHarmony huggingface dataset:
The effects of a mobile pre-learning system with surface learning approach on academic achievement and mobile learning attitude

Background/purpose -The main purpose of this study is to examine the effects of the mobile pre-learning system developed according to the surface learning approach on academic achievement and mobile learning attitudes.Materials/methods -The research was conducted with 135 university students and a 12-week pretest-posttest unequaled control group quasi-experimental research method.Prepared in line with the content of an Instructional Technologies course, 12 educational videos varying from 3 to 6 minutes, and designed according to the surface learning approach, were issued to the experimental group's students via the mobile pre-learning system 1 day prior to the relevant lesson, and the data obtained were then analyzed.Results -As a result of the research, it was determined that the mobile pre-learning system developed according to the surface learning approach had a significant effect on the participant students' academic achievement and mobile learning attitudes.Conclusion -It was observed that the mobile pre-learning system developed according to the surface learning approach had a close to medium-level effect on the satisfaction and motivation factors of the participant students' mobile learning attitudes.However, it was determined that it had no significant effect on the impact and usefulness factors of learning.In addition, it was concluded that the mobile pre-learning system based on the surface learning approach had a significant effect on the participant students' academic achievement.
How to Determine the Best Time of Day to Send Reminder Texts

Texting has come a long way since Neil Papworth sent the first text message from a personal computer in 1992. By the mid to late 1990s, more ...
A Needs Analysis on the Development and Application Design of a Short-term Korean Language Program for Thai Immigrant Workers

Since the implementation of the employment permit system in 2004, more than 100,000 immigrant workers have been entering the country every year. However, after entering the country, they have difficulty learning Korean due to irregular working hours and limited geographic mobility. The relative lack of Korean language programs for immigrant workers compared to those for international students and marriage immigrants is also a hindrance to Korean language learning. This study aims to conduct a needs analysis and develop a short-term Korean language program for Thai immigrant workers who have entered Korea. To this end, three needs analysis were performed. First, the existing textbooks for immigrant workers, textbook for EPS-TOPIK was analyzed. Second, the existing EPS-TOPIK learning app was analyzed. Third, based on the results of the analysis of the existing textbooks and apps, we surveyed Thai workers who actually entered Korea to examine their needs for the Korean language curriculum. Based on the results of the analysis, the ministry sought to develop a curriculum to design teaching requirements for Thai immigrant workers and use them in actual applications. In this manner, the government has been trying to provide basic data on the development of programs for immigrant workers who have been alienated from Korean language education sites.
Mineral And Geochemical Features Of Mineralized Zones Eastern Jamansai Section (Sultan-Uvais Ridge)

This article is devoted to analyzes the issues of mineral and geochemical features of mineralized zones: eastern Jamansai section (Sultan-Vvais ridge). Productive mineralization of the eastern Jamansai site is associated with metamorphogenic transformations of rocks of the Sultanuvai, Jamansai, Beshmazar, Kazansai formations, metamorphosed under the conditions of the green-shale facies. Mineralized zones of the site are confined to narrow faults in tectonic zones of the northeastern and northwestern directions.
Grain size analytical and geochemical data of sediments from Ishakare and Alatan streams in Akungba-Akoko, Southwestern Nigeria

The identification of anomalous elemental concentrations and the prediction of their dispersal pattern play a key role in geochemical exploration. Stream sediments are important focus in this aspect. Nine (9) sediment samples collected from Ishakare and Alatan Streams in Akungba-Akoko were subjected to grain size and inorganic geochemical analyses in order to determine their grain sizes distribution, travel distances, elemental concentrations and origin. Results of grain size analysis show that streams sediments are mostly medium-grained, poorly-moderately sorted and ranged from fine to strongly coarse skewed suggesting that they have been transported relatively not too far away from their sources under high to low energy. SiO2 is a dominant major oxide with concentration values ranging between 64.81 and 71.59 wt.% with a mean value of 68.07 wt.%. Abundance of Al2O3 indicates that samples are from Aluminum-rich source bed rock. The weights of Fe2O3 and TiO2 also point to gneissic rocks as a probable source. Generally, concentrations of trace elements were found to be low indicating that the contamination statue of the sediments ranges from unpolluted to moderately polluted
Constructivism in Maharah Kalam lecture using the Instagram media: the implementation, problems, and tertiary students’ perceptions in Indonesia

This study aimed to explore the speaking skill in lecturing processes using Instagram media based on the constructivism theory, the problems, and students’ perceptions of the lecturing process. This study used a descriptive qualitative approach with several data collection techniques, namely observation, interviews, and questionnaires. The results of this study concluded that in the implementation of speaking skill lectures, the lecturer used several steps, namely: (1) Instagram media preparation, (2) introduction to the topic, (3) and several core stages oriented to emphasizing the construction of students’ thinking in making the concept of speaking. This study also found several problems such as weak internet networks and a lack of confidence amongst students to upload their speaking skill videos on their personal Instagram accounts. Students also gave positive perceptions such as increased thinking skills and an increase in the number of followers of their Instagram accounts. On the other hand, the researchers also found negative perceptions such as their weak scientific capacity in video editing, speaking skill, and gadgets’ conditions that do not support video editing applications. The researchers suggest that further research is conducted on the integration of constructivism theory with several other social media popular among learners.
Amber Alert canceled: Saukville teen located

An Amber Alert that was activated to help locate 13-year-old Samantha Stephenson has now been canceled. Officials say Stephenson has been located.
Contextual Rapport of Peoples’ Attitude and Social Media on Buying Pattern

This research paper focuses the effect of social media communication on peoples’ cognitive, affective and behavioural attitude at Dhaka City, Bangladesh. This research paper emphasises on several factors also such as frequency of using pattern, demographic information of peoples’ attitudes toward social media communication pattern. A self-administered questionnaire was allocated to people at Dhaka City in Bangladesh. A linear model was used as for data analysis. The study focuses that social media communication medium had depth component such as positive impact on city people such as in Dhaka. The outcome of the study revealed that people at Dhaka city who used social media for long periods have the most favourable attitudinal responses to social media marketing communications. Here social media was collectively considered and did not do any individual social media type separately. The location of data collection was only Dhaka city in Bangladesh where as other parts of Bangladesh could have been considered. The organisations who are selling brands or products should consider their selling techniques and strategies based on social media marketing activities and the different angles of usage and demographic basis when on each people or potential clients/customers. This study focused the favourable impact to cognitive, affective and behavioural elements among people in Dhaka city and in the declining stage, it is in purchase funnel model. This research is recommending provide attitudinal research on customer buying pattern in developing countries.
Perancangan Dan Penyusunan Sistem Akuntansi Pada Online Shop The Zenzy Shoes

Online Shop The Zenzy Shoes was founded in 2017, is engaged in shoes trading and is located at Ruko Ciptaland Blok Anggrek, Batam. The online shop has been around for 3 years, the records are still very simple, their every sales transaction is recorded in Microsoft Office Excel. The purpose of this research is to be able to design a reliable and accurate accounting recording system that has quality for users.The author designed a system using Microsoft Office Access to make it easier for users to enter transactions and display financial reports. The author designs the system according to the needs of MSMEs and makes forms of vendor data, customer data, goods data, purchases, sales and is equipped with a list of accounts, general journals, and a list of assets in order to present information on financial reports and after the system design is complete, the implementation continues with MSMEs to ensure that the system functions properly and there are no errors.
A technique of identifying the contour point to assess the change of abnormal areas on medical imaging

Assessing the growth or reduction of abnormal areas in medical imaging in general and tomography in particular is a greatly concerned and important research issue in recent years in Vietnam. The article presents a technique of identifying contour points of an abnormal area as a basis for later assessment of the development of abnormal area on medical imaging. The technique is based on the analysis of local structures in the vicinity of abnormal area boundaries combined with the use of convolutional neural networks and has been tested and evaluated based on 3D-IRCADb-01 sample data set with liver tumors.
USE OF “FROBEL’S GIFTS” IN THE PROCESS OF LOGIC-MATHEMATICAL DEVELOPMENT OF CHILDREN IN THE RAZELINE GROUP OF THE PRESCHOOL EDUCATION INSTITUTION

The article is devoted to the definition and substantiation of the theoretical foundations of the use of F. Frobel's didactic materials for the logical and mathematical development of children in different age groups of preschool education. It is determined that the main point for the mathematical development of the preschooler is the mechanism of mastering different types and forms of activity, the ability to show independence, initiative, creativity. The didactic material “Gifts of Froebel” and its practical value are described. The requirements for the use of materials and didactic games of a teacher in a modern preschool institution in the conditions of different age groups in the context of logical and mathematical development are determined. By applying logic and mathematical games with the materials of F. Froebel, the individualization of educational influences on the child is carried out. This is the basis for organizing the development and education of children in different age groups of preschool education, building a pedagogical process that takes into account the child's personality, personal preferences and at the same time achieve cognitive tasks for each child facing the teacher. It is generalized that building work on teaching children in groups of children of different preschool age through the use of different game situations, didactic games, game exercises and tasks, we get a practical learning outcome and make the child's activities more relevant and meaningful to her. The high significance of the study and further implementation in practice of working with children of the theoretical and methodological heritage of F. Froebel – on the problem of activating the intellectual, cognitive, logical and mathematical development of preschool children is substantiated.
Label Self-Adaption Hashing for Image Retrieval

Hashing has attracted widespread attention in image retrieval because of its fast retrieval speed and low storage cost. Compared with supervised methods, unsupervised hashing methods are more reasonable and suitable for large-scale image retrieval since it is always difficult and expensive to collect true labels of the massive data. Without label information, however, unsupervised hashing methods can not guarantee the quality of learned binary codes. To resolve this dilemma, this paper proposes a novel unsupervised hashing method called Label Self-Adaption Hashing (LSAH), which contains effective hashing function learning part and self-adaption label generation part. In the first part, we utilize anchor graph to keep the local structure of the data and introduce joint sparsity into the model to extract effective features for high-quality binary code learning. In the second part, a self-adaptive cluster label matrix is learned from the data under the assumption that the nearest neighbor points should have a large probability to be in the same cluster. Therefore, the proposed LSAH can make full use of the potential discriminative information of data to guide the learning of binary codes. It is worth noting that LSAH can learn effective binary codes, hashing function and cluster labels simultaneously in a unified optimization framework. To solve the resulting optimization problem, an Augmented Lagrange Multiplier based iterative algorithm is elaborately designed. Extensive experiments on three large-scale data sets indicate the promising performance of the proposed LSAH.
Arrays and Loops

In the previous chapter, we worked on a program that built patterns of black and white tiles that corresponded to the elements of a square array. In this chapter, we will introduce a powerful syntax that allows us to build larger patterns from shorter programs.
Examining English Language Learning Apps from A Second Language Acquisition Perspective

This study set out to explore dedicated language learning apps pedagogically while focusing mainly on aspects of second language acquisition. A total of 20 English language learning apps were collected for analysis. The study took one model of analysing course book materials and another, computer-assisted language learning model and combined them into one analytical framework with bespoke criteria, ensuring the analysis was most suitable for our case. The analytical framework which was developed reached a number of conclusions about dedicated language learning apps (DLLAs). The findings revealed that DLLAs tend to provide mechanical forms-focused practice without facilitating collaborative learning nor focusing on developing users’ communicative competence, which suggests that DLLAs reflect a behaviouristic view of language learning. The conclusion offers some suggestions to improve DLLAs and proposes that, for the time being, educators should look beyond DLLAs and instead investigate how can apps that are not designed for language learning (generic apps) be used in the manner of DLLAs to avoid the issues that this paper identifies with them.
Evaluation of cross-platform application development frameworks

Software has become an integral part of our daily lives. It is making a profound impact on every aspect of life such as Entertainment, Education, Business and so on. The native application development results in redundant code and consumes more time and resources to develop applications for each platform. Most of the businesses today need their use cases to be implemented across various form factors such as PC, TV, smart phones, wearables and so on. The cross-platform development approach helps the developers to write code in one platform and be able to run the app in different operating systems whereas in native app development approach, the app is developed exclusively for a single platform.
Deepfakes for Histopathology Images: Myth or Reality?

Deepfakes have become a major public concern on the Internet as fake images and videos could be used to spread misleading information about a person or an organization. In this paper, we explore if deepfakes can be generated for histopathology images using advances in deep learning. This is because the field of digital pathology is gaining a lot of momentum since the Food and Drug Administration (FDA) approved a few digital pathology systems for primary diagnosis and consultation in the United States. Specifically, we investigate if state-of-the- art generative adversarial networks (GANs) can produce fake histopathology images that can trick an expert pathologist. For our investigation, we used whole slide images (WSIs) hosted by The Cancer Genome Atlas (TCGA). We selected 3 WSIs of colon cancer patients and produced 100,000 patches of 256×256 pixels in size. We trained three popular GANs to generate fake patches of the same size. We then constructed a set of images containing 30 real and 30 fake patches. An expert pathologist reviewed these images and marked them as either real or fake. We observed that the pathologist marked 10 fake patches as real and correctly identified 34 patches (as fake or real). Thirteen patches were incorrectly identified as fake. The pathologist was unsure of 3 fake patches. Interestingly, the fake patches that were correctly identified by the pathologist, had missing morphological features, abrupt background change, pleomorphism, and other incorrect artifacts. Our investigation shows that while certain parts of a histopathology image can be mimicked by existing GANs, the intricacies of the stained tissue and cells cannot be fully captured by them. Unlike radiology, where it is relatively easier to manipulate an image using a GAN, we argue that it is a harder challenge in digital pathology to generate an entire WSI that is fake.
A Self Sovereign Contents Management System based on Blockchain

As users create and share their own content, the importance of data is increasing. However, there has been a situation in which users’ content is subordinated to major Internet service companies and users are unable to exercise sovereignty over their content. As concerns over this situation grow, data sovereignty is receiving high attention. In this paper, we propose a self-sovereign system in which users are guaranteed the right to store, register, and control the content they create. The proposed system utilizes the decentralized storage to store content independently on a specific service provider, and users directly control and manage their own content with the help of the blockchain technology. By using the proposed system, users are guaranteed to exercise their sovereignty over their own content.
Novel Idea of Implementing MRNS Technique for RLNS Based System

Residue Number System (RNS) is an effective solution for implementing several DSP applications. RNS reduces the input operands with larger length to modulo values with shorter length and provides high processing speed. An important application of RNS is in cryptography for providing highly secured transmission of data. The intermediate residue values obtained cannot be processed without knowing the exact moduli set values. The advantage of RNS is that the operation block is divided into distinct residual modules that are independent of the others. Multi-level Residue Number System (MRNS) is proposed in literature to enhance security features and processing speed of RNS. MRNS involves in continuing the procedure of RNS in several levels until the stage of choosing small moduli set values is obtained. To improve the data encryption feature of the RLNS based multiplication structure, MRNS concept is incorporated in this research work, proposing a new idea of Multi-level Residue Logarithmic Number System (MRLNS). The simulation results of the proposed designs that include area, TPD and delay are taken and found to be less when compared with the existing research work of multiplier design for Residue Logarithmic Number System (RLNS) based system.
PERBANDINGAN ANTARA MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DAN MODEL FUNGSI TRANSFER PADA PERAMALAN CURAH HUJAN DI KABUPATEN MANOKWARI

This study discusses the comparison of forecasting time series data between the Autoregressive Integrated Moving Average (ARIMA) method and the multi input transfer function model. ARIMA method is one of the most frequently used methods for forecasting time series data. Meanwhile, the transfer function model is a combination of the characteristics of multiple regression analysis with the characteristics of the ARIMA time series. Meanwhile, the multi input transfer function model is a transfer function model that has input variables of more than two time series. The application of these two methods is carried out on rainfall data from January 2012 to December 2017 in Manokwari Regency, West Papua Province. The input variables used are temperature, humidity, solar radiation, air pressure, and wind speed variables. The results showed the best ARIMA model was ARIMA (1,0,0) (2,0,0) 12 with an AIC value of 910.07, while for the best multi input transfer function model was ARIMA (1,1,0) AIC value of 898.24. Between the two methods, the best model used to forecast rainfall in Manokwari Regency, West Papua Province is the multi-input transfer function model (1,1,0).
Practical Challenges in Cross-border Cybercrimes: Prosecutors and Investigators Perspectives

The investigator and prosecutor encounter enormous difficulties and challenges in dealing with the cross-border cyber related crimes. This article intends to show practical difficulties prosecutors and investigators often face when they deal with the cross-border cybercrimes. For example, foreign States often refused to share the information and evidences if the alleged conduct is not amounted to crime under their law. Further, the investigators follow the Mutual Legal Assistance Treaties (MLAT) mechanisms to request assistance and other evidences from a foreign country, which often proved to be time-consuming. Alarmingly, it became very challenging for investigators and prosecutors to identify and locate the actual perpetrator since perpetrators now use modern technologies and methods to hide their identity and location. Thus, this article aims to explore some of the common challenges prosecutors and investigators meets in their day-to-day work.
The Development of Electronic-Worksheets (E-Worksheets) with Sub-Materials of Waste Recycling based on Ecopreneurship to Train Entrepreneurship Interest of Students

Abstract&#x0D; The 2013 curriculum requires students with productive, innovative, and creative traits that have a positive contribution to social life, for instance by creating graduates who have an entrepreneurial interest to be an ecopreneur. To be able to fulfill these demands, school life-learning is needed, which is supported by decent and appropriate teaching materials in order to increase the entrepreneurial interest of students. The research aims to produce teaching materials in the form of Electronic-Worksheets (E-Worksheets) waste recycling ecopreneurship to instruct students' entrepreneurial interest which is theoretically and empirically feasible in accordance with the requirements of the 2013 curriculum and 21st century learning using the 4D method. (define, design, develop, disseminate) without doing the disseminate stage. Theoretical feasibility is obtained from the validation results, while empirical feasibility is obtained from the results of the teacher response questionnaire. E-worksheets ecopreneurship waste recycling is declared very feasible theoretically with an average value of 3.66 and empirical with an average value of 98%.&#x0D; Keywords: E-worksheets, Entepreneurship, Ecopreneurship, Entrepreneurial Interests, Waste recycling