Reviewerly/exHarmony huggingface dataset:
Amazon CEO Jeff Bezos challenges rivals to raise minimum wage: 'Throw the gauntlet'

Amazon raised its minimum wage to $15 per hour in October, but came under fire for phasing out some bonuses and stock awards.
Research on the Reform of Cost-Accounting Teaching Mode under the Background of Internet-Plus

With the continuous development and promotion of Internet technology, the deep integration of big data, cloud computing, artificial intelligence and education and teaching, the methods of classroom teaching have undergone fundamental changes, from the past single “offline classroom face-to-face instruction” method to the diversified “online and offline time and space unlimited” Internet-plus teaching model.The article aims at the traditional Cost-Accounting course teaching mode, through the aid of Internet technology, adopts the “embedded” diversified teaching mode to bring reforms to the curriculum. Through progressive and hierarchical teaching innovation, comprehensively improve students' practical skills and overall quality. Taking the Cost-Accounting course as an example, how to scientifically use the Internet-plus teaching mode to achieve the course teaching goals requires continuous practice and improvement.
High Quality and Data Protection Image Steganography using IWT and RSA

Steganography is the learning of disciple communication maintaining the secrecy of the obscure information. The extent of secret information sibling to the size of the cover that can be concealed in the cover, without compensating to the quality of the envelope, is known as capacity. Security of a steganography system is protecting the hidden information from detection by an unauthorized user. It should be impossible to detect the hidden information for the third party, even if it is suspected. The more the information the cover carries the better. However, the large embedded information degrades the quality of the stego significantly. This means that when the quantity is expanded the security contraction and vice versa. Therefore, the efficient techniques are required to achieve the optimal capacity and the security. In this paper, new transform domain techniques are developed in image, audio and video steganography to achieve the maximum capacity with enhanced security. IWT and RSA algorithm are used in these types of steganography to improve the performance i.e. high PSNR, unity SSIM and low MSE. In image steganography, both the grayscale and the color image steganography are implemented considering the secret information as the image.
PENGEMBANGAN RENCANA PELAKSANAAN PEMBELAJARAN IPS KELAS IV DI SD/MI

This study aims to develop a plan for the implementation of Class IV social studies learning at SD / Mi. This research is a research and development or Research and Development (R&D). Data analysis starts from the stages of data collection, data presentation, and data verification. Based on the results of the study, it can be concluded that the use of the lesson plan (RPP) has a positive impact in supporting efforts to improve learning outcomes for fifth grade students in elementary schools.
EDUCATIONAL ASPECTS OF DEVELOPMENT OF ADMINISTRATIVE ABILITIES OF STUDYING UNIVERSITIES

This article analyzes the possibilities of educational work in the development of key competencies, in particular managerial skills, students in vocational training at the university. It is urgent and important to develop the managerial skills of the student, since a high level of the required skills will allow the individual to achieve success in life and spatial areas, as well as maintain and strengthen psychological health. Adapted effective forms of spiritual and moral education of university students in the process of developing their managerial skills were cited as an example. The results of the questionnaire determined the hierarchy of understandable and performed functions by university teachers, such as educational, teaching, methodological, research, organizational and managerial. Of the 5 main proposed functions of a university teacher, educational activity was the lowest level, which is the main means of forming students' core competencies.
PENERAPAN METODE DEMONTRASI UNTUK MENINGKATKAN KEMAMPUAN PEMBELAJARAN ILMU PENGETAHUAN SOSIAL (IPS) KELAS III SD NEGERI 013 RAMBAH KABUPATEN ROKAN HULU TAHUN PELAJARAN 2016/2017

This study aims to improve the social science skills of students, through working on the plan and cardinal points. This technique is a form of developing learning activities to determine the plan and cardinal points correctly. The research subjects were grade III students of SD Negeri 013 Rambah Rokan Hulu in the 2016/2017 academic year. The research approach used is qualitative, while the type of research is Classroom Action Research (PTK). This study used 2 cycles, each cycle consisting of 4 stages, namely planning, implementing, observing and reflecting. The data analysis technique uses an interactive model analysis technique which consists of 3 components, namely: (1) data reduction (2) data presentation (3) drawing conclusions. Class III students of SD Negeri 013 Rambah. This can be seen from the increase in the percentage of results in cycle 1 and cycle 2. The final result of the implementation of this class action is that out of 21 students only 1 has not reached the KKM. Meanwhile, 20 students have fulfilled the KKM and even their scores are above the KKM
Application of Watermarking Along with Reversible Image Compression in Secure Medical Image Transmission Through a Network

Telemedicine is the latest area of research in the current pandemic situation. A hybrid image watermarking and encryption technique is proposed in this paper to provide security for medical images in telemedicine applications. The user can send the scans and images to the doctors by keeping the information safe. The user information like name, age, unique ID, and problem is used to watermark the image. The watermarked image is compressed using a reversible image compression technique, namely LZW compression. The compressed data is then sent for bit scrambling to encrypt the data. The algorithm is designed to be very fast and low complex to facilitate the telemedicine applications.
EXAMINATION OF THE STRATEGIC RESPONSES ADOPTED BY MONEY TRANSFER COMPANIES IN NAIROBI COUNTY, KENYA TO COPE WITH THE ENVIRONMENTAL CHALLENGES

Organizations must have the ability to examine and make changes based on internal and external environmental factors that affect their performance. The study investigated the strategic responses to environmental changes by money transfer companies, Nairobi County, Kenya. The study used a descriptive survey with a population of 16 money transfer companies. This study used primary sources of data collected using a questionnaire. The findings showed that the companies had applied the following strategies to a large extent; professional customer care services (handling queries, improved response strategies, adoption of modern technologies for example ICT, providing quality and cost-effective products and services, improved speed and efficiency for service delivery, product diversification strategy and firm position through providing quality and reliable services for improved quality. The findings also revealed that the majority of the respondents stated that the strategies applied were moderately effective. The findings of the study will enable the policymakers to understand that money transfer companies are very significant sources of revenue through taxation if they start assessing it deeply from a neutral point of view and review and revise any laws of hindering the companies the right to license or register and to work freely here in Kenya just like the banks and the forex. The researcher recommended that a replicate study be done on commercial banks in Kenya. This would establish the strategic responses by commercial banks to the external environment. Keywords: Strategic Responses, Environmental Challenges, Competitive Advantage, Modern Technology, Product Differentiation CITATION: Hassan, A. A. (2021). Examination of the strategic responses adopted by money transfer companies in Nairobi County, Kenya to cope with the environmental challenges. The Strategic Journal of Business &amp; Change Management, 8 (2), 242 – 252.
Supervised Sentiment Analysis Algorithms

Sentiment analysis is used to analyse customer sentiment by the process of using naturallanguage processing, text analysis, and statistics. A good customer survey understands thesentiment of their customers—what, how and why they’re saying it. Sentiment dataset can befound mainly in tweets, comments and reviews. Sentiment Analysis understands emotionswith the help of software, and it is playing an inevitable role in today’s workplaces.Sentiment analysis for opinion mining has become an emerging area where more researchand innovations are done. Sentiment or opinion analysis based on a domain is done usingseveral algorithms. Machine learning is a concept among this area. In this, the main focus ison the supervised sentiment analysis or opinion mining algorithms. Supervised learning is adivision coming under machine learning. Different methods of supervised learning andsentiment analysis algorithms are considered and their mode of functioning is studied. Mainfocus of this paper is on the recent trends of research and studies for sentiment classification,taking into consideration the accuracy of different algorithmic techniques that can beimplemented for accurate prediction in sentiment Analysis.
LibGuides: Integrating Intersectionality into Library Instruction & Programming: Critical Lib & Critical Info Lit

Presented at Library Instruction West 2018, Colorado Mesa University, Grand Junction, Colorado
Blockchain Based Healthcare Information Exchange Systems for Security of Healthcare Data

Medical care administrations are changing to empower a patient-driven methodology, blockchain-based medical services frameworks can help in improving the security as well as constancy of patients' information since patients can now have authorized access over their medical care records. With the incredible potential in healthcare system for making data immutable and secure blockchain is gaining importance. Storage of clinical information of patients is significant in medical care. These information’s are exceptionally sensitive and in this manner additionally an ideal objective for digital assaults. It is imperative to make sure about all delicate information. Another perspective is command over information which would preferably be overseen by the patient. Thusly, sharing and getting to the control of patients' medical services information is another utilization case which can profit by cutting edge present day innovations. Blockchain innovation is extremely powerful against attacks, and gives various techniques for access control. Consequently, blockchain gives a decent structure to medical care information. Those groups of people who don’t trust one another but still want to share data without including a trusted third-party for them blockchain would be most appropriate solution. In this paper it has been surveyed about how blockchain technology can be used to achieve security and privacy in biomedical and healthcare information exchange system.
LibGuides: Citing Sources Using NoodleTools: Questions

Tutorials for using NoodleTools to cite sources. Uses Padlet to ask questions about citing sources or using NoodleTools.
The CommonLit Ease of Readability (CLEAR) Corpus

In this paper, we introduce the Anonymous Ease of Readability (AEAR) corpus. The corpus provides researchers within the educational data mining community with a resource from which to develop and test readability metrics and to model text readability. The AEAR corpus has a number of improvements over previous readability corpora include size (N = ~5,000 reading excerpts), the breadth of the excerpts available, which cover over 250 years of writing in two different genres, and the readability criterion used (teachers’ ratings of text difficulty for their students). This paper discusses the development of the corpus and presents reliability metrics as well as initial analyses of readability.
Blockchain based Online Pharmacy with Customer Privacy Protection

Corona 19 minimizes face-to-face contact, and online untact platforms are emerging in the medical sector. However, there are potential risks of medicine expiration, medicine misuse, and responsible materials management for secure delivery. In this paper, we investigate three key functional requirements for online pharmacy, and design the blockchain based online pharmacy to meet the requirements. To protect the patient''s privacy and to ensure tamper-free traceability, we incorporate the multi-level access authentication scheme for each participant (governments, medical circles, and patients). We show that our system guarantees patient’s privacy without further system modification.
An exploration of the challenges faced by Grade 12 English learners in creative writing

Background: Writing in English has always posed challenges to English First Additional Language (ENGFAL) learners. This study focused on challenges faced by Grade 12 learners in creative writing. The challenges related to the learners’ inability to implement process writing strategies.Objectives: The objectives of the study were to explore the challenges faced by Grade 12 learners in creative writing and also to design intervention strategies for the challenges experienced.Method: The study adopted the qualitative research paradigm. A phenomenological research design underpinned the study. The participants included twelve Grade 12 learners and two Grade 12 ENGFAL teachers. Data collection methods such as classroom observation, teacher interviews and document analysis were used in the study. Data collection instruments such as a tape recorder, observation schedule and interview schedule were adopted. Collected data relevant to the study was then transcribed, coded and analysed using the inductive method.Results: The results indicated that learners’ inability to properly implement process writing strategies was due to lack of detailed knowledge of what each stage requires them to do during writing. Lack of vocabulary also resulted in learners writing sub-standard sentences.Conclusion: The study recommended intervention strategies that would assist learners to improve in creative writing. Explicit teaching of process writing stages was recommended so that learners would familiarise themselves with the requirements of the stages. Other intervention strategies include vocabulary based teaching, learners’ exposure to more English reading materials so that they can improve spelling and encouraging collaborative learning in writing.
Bitcoin price tumbles following Trump’s criticism

The price of Bitcoin tumbled after President Trump tweeted Thursday that he was “not a fan” of cryptocurrencies.
An Unaccustomed AdaBoost Approach to Dig Out the Magnitude of Trash

The waste generated by day to day use of domestic premises is called domestic refuse. This waste is not domestic if it is taken under a commercial arrangement. In this paper, a novel AdaBoost approach is used for feature extraction. AdaBoost is one of the most out-performing boosting algorithms. It has a strong hypothetical premise and has made incredible achievements in useful applications. AdaBoost is used to improve the performance of any machine learning algorithm. Due to the unavailability of the database, a new database is created to test the working of the foreseen model. This was tried on our dataset and furthermore contrasted and different calculations, for example, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Neural Network (NN), and Tree. Given a convergence result for the algorithm showing that prior knowledge can substantially improve classification performance. After testing, it is visualized that the highest accuracy (99.5%) was achieved by the novel AdaBoost approach.
Learning of Visual Relations: The Devil is in the Tails

Significant effort has been recently devoted to modeling visual relations. This has mostly addressed the design of architectures, typically by adding parameters and increasing model complexity. However, visual relation learning is a long-tailed problem, due to the combinatorial nature of joint reasoning about groups of objects. Increasing model complexity is, in general, ill-suited for long-tailed problems due to their tendency to overfit. In this paper, we explore an alternative hypothesis, denoted the Devil is in the Tails. Under this hypothesis, better performance is achieved by keeping the model simple but improving its ability to cope with long-tailed distributions. To test this hypothesis, we devise a new approach for training visual relationships models, which is inspired by state-of-the-art long-tailed recognition literature. This is based on an iterative decoupled training scheme, denoted Decoupled Training for Devil in the Tails (DT2). DT2 employs a novel sampling approach, Alternating Class-Balanced Sampling (ACBS), to capture the interplay between the long-tailed entity and predicate distributions of visual relations. Results show that, with an extremely simple architecture, DT2-ACBS significantly outperforms much more complex state-of-the-art methods on scene graph generation tasks. This suggests that the development of sophisticated models must be considered in tandem with the long-tailed nature of the problem.
Research on Feature Selection and Classification Recognition Algorithm of Cervical Cell Image

In order to improve the recognition speed of cervical cell and obtain the highest recognition accuracy with the least number of features，this paper innovatively uses the Classification and Regression Trees（CART） algorithm to select features，and then the Particle Swarm Optimization（PSO） algorithm is used to optimize the Support Vector Machine(SVM). Therefore，the PSO-SVM classification algorithm is formed to classify the cells. This paper uses the Herlev dataset to verify the validity of the proposed algorithm. Through the CART feature selection method，9 representative features are successfully extracted from 20 features，and the accuracy of two classifications and seven classifications are above 99%. Further，this paper introduces several other classification and recognition algorithms of cervical cancer cells for simulation comparison. It can be founds that the recognition accuracy of this algorithm is obviously superior when the number of features is small，which indicates that the proposed algorithm is effective. The method effectively reduces the difficulty of artificial feature selection，and ensures that the recognition accuracy of the cells is almost the same as before when the recognition time is reduced. Thus，the proposed algorithm provides an effective method for the diagnosis of cervical cancer diseases. Keywords:  feature extraction,  feature selection,  CART,  PSO-SVM,  cervical cell detection
Error analysis in descriptive text writing made by the first-grade students of senior high school

This research was aimed at finding out the types of errors made by the students in writing descriptive text. In conducting the research, the researcher used descriptive qualitative design. The researcher analyzed and described students' errors based on surface strategy taxonomy. The population of this research was the first-grade students of SMAN 14 Bandar Lampung in the academic year 2020/2021. The sample of this research was X science 2 which consisted of 32 students. The instrument of this research was a writing task. The writing task was used to collect data on errors committed by the students. The result of the analysis showed the students committed all types of errors in omission, addition, misformation, and misordering. It shows that the frequency of the errors from the students' descriptive writing based on surface strategy taxonomy that is an omission that consists of 65 or 25%, the second is an addition that consists of 52 or 20%, then the third is misformation that consists of 130 errors or 50%, and the last is misordering that consists of 13 or 5%. Based on the result of this research was most of the students still committed all four errors types of Surface Strategy Taxonomy. It means that although the students were taught English especially in the descriptive text in Junior High School, they still had problems in writing descriptive text.
PENGARUH KELENGKAPAN FASILITAS BELAJAR TERHADAP HASIL BELAJAR SISWA KELAS V MI NURUL ULUM MADIUN

Learning facilities are equipment that children need in learning, besides learning facilities are supporting children's learning success. In the field it was found that some students obtained learning outcomes that had not yet reached the minimum completeness criteria. This may be due to the above factors. Therefore, the researcher wanted to know the effect of the completeness of learning facilities on the Mathematics learning outcomes of Class V Students at MI Nurul Ulum Sidorejo Madiun. In this study, researchers used quantitative methods. The purpose of this study was to determine whether there is an effect of the completeness of learning facilities on student mathematics learning outcomes at MI Nurul Ulum Sidorejo Madiun. The data collection techniques used questionnaires and documentation. The population of this research is the fifth grade students of MI Nurul Ulum Sidorejo Kebonsari Madiun totaling 20 students. For data analysis techniques using Simple Linear Regression using SPSS 16.0 program. Based on the calculation at the 5% significance level, it shows that there is an effect of the completeness of learning facilities on students' mathematics learning outcomes of 41.4% or sufficiently influential while the rest is influenced by other variables.
Critical factors influencing decision to adopt digital forensic by Malaysian law enforcement agencies: a review of PRISMA / Siti Nuur-Ila Mat Kamal, Othman Ibrahim and Mehrbakhsh Nilashi

The technological advancement in today’s era has been characterized by a proliferation of digital devices and system. This scenario is seen significant in bringing a great impact to the increasing needs of digital forensic to be recognized as a crucial tool and yet an investigative procedures in facilitatingtoday’s organizations especially the law enforcement agencies to react into the cybercrime cases that fall under their respective jurisdiction. However, in a context of a developing country, the adoption nature towards digital forensic by Malaysian law enforcement agencies is unfavorable which ultimately affects an efficient, timeliness, cost-effective, and less-impact of digital evidence investigation. The purpose ofthis paper is to examine the factors affecting the decision of Malaysian law enforcement agencies to adopt digital forensic. The study employed PRISMA as a reference methodology to identify the factors and developing the initial adoption model. The methodology has revealed 12 factors that influence theadoption decision of digital forensic. These factors are organized into three dimensions under the premise of TOE framework namely technological, organizational and environmental. The study is contributing by addressing the key driving factors that delineate an understanding towards the context of digital forensic as an innovation adoption at the organizational level in which further will be exploitedto formulate the adoption model.
Elon Musk selling techno track he produced about NFTs as an NFT

The NFT song's highest bid currently sits at $100,000, according to Valuable's digital auction of the tweet