Reviewerly/exHarmony huggingface dataset:
Krishihut: A Multivendor-Based Agricultural Secure E-Commerce System for Reducing Price Hike in Bangladesh

Bangladesh places a high value on agriculture, but because of the country’s extreme poverty, individuals who work in it are currently from lower socioeconomic classes and face many challenges in their everyday life. Agriculture contributes around 5.3Lack of knowledge about cutting-edge techniques or technology contributes to farm poverty. Farmers still face pressure from market actors despite their effort and produce, which results in poverty. To enable direct sales between farmers and customers, middle men’s marketing-related roles must be eliminated. The section will offer advice to farmers on all topics, including the current market value of various products, the over- all market value and profitability of products sold, access to new e-learning farming techniques, various agricultural-related issues, and an inside look at various agricultural government strategies, such as agricultural compensation plans. By leveraging direct farmer to consumer connection and conversation with farmers, this website assists farmers in ensuring optimal profitability. Through this optimization platform, the farmer and the client can communicate more effectively.
MIFI: Combining Multi-Interest Activation and Implicit Feature Interaction for CTR Predictions

A common paradigm is followed by several current click-through rate (CTR) prediction models based on user behavior sequences. They first apply embedding technology to map users’ past behavior to low-dimensional dense vectors and then utilize an attention technique to acquire user interest representation from behavior sequences, using current candidates as queries. However, these approaches overemphasize the role of items similar to the candidate items in the historical sequence and ignore the learning of other contextual features as well as the sequential behavior patterns of users. In this article, we present a deep click-through prediction model that incorporates a multigranularity interest activation and implicit feature interactions. Our model first incorporates the nonlinearly extended user representation in the user behavior sequence and uses multiple fully connected layers to obtain the global user interest representation, thereby improving the model’s memorization ability for users. Then, a multikernel convolutional network is employed to learn the behavior patterns of the user with different window sizes to solve the problem of pattern diversity and interest mutation noise in behavioral sequences. Finally, the model implements implicit second-order feature interactions across the user-side, item-side, and contextual features via a multihead self-attention network, which can maintain the model’s performance in the presence of scarce user behavior sequences. Compared with the benchmark model, deep interest network (DIN), our model achieved RelaImpr gains of 1.67%, 3.36%, and 3.04% on three publicly available datasets and 6.09%, 6.08%, and 10.22% with the elimination of user history behavior sequence information. Experiments and discussions on module ablation and parameters that have a significant impact on model performance are also presented.
Team

It will require the collective effort of multiple team members to accomplish all the tasks described in this book. This chapter delves into the distinctive contributions that each member of your documentation team can make, ways in which you can help them bring their best to your project, and the available resources that can enhance everyone's understanding of developing developer documentation.
Content Production

Following the Content First approach means that you start developing content (or at least defining the structure of your content) relatively early on in your process before you start working on wireframes, layouts, or the technical implementation. This chapter focuses on the practical aspects of content production for developer documentation sites. It guides you on selecting an appropriate markup language, crafting a documentation style guide, and creating templates tailored to different content types. Additionally, the chapter emphasizes the significance of curating content tailored for onboarding various personas and underscores the importance of adhering to foundational SEO best practices.
UPAYA MENINGKATKAN HASIL BELAJAR IPS MELALUI PENDEKATAN PAKEM DENGAN MEDIA INTERAKTIF

ABSTRACT&#x0D; The purpose of this research is to improve social studies learning outcomes through a standard approach with interactive media with the sub-theme of work around me. The low social studies learning outcomes with the sub-theme of work around me became one of the things found. The subjects in this study were fourth grade students of SD Private Bersinar with a total of 21 students using Classroom Action Research. The results obtained in the first cycle. The learning outcomes in the first cycle were 11 students or 52.38% of students who had not reached the KKM and 10 students or 47.62% of students who had reached the KKM. The average student learning outcomes are 67. However, in the improvement of teaching and learning in the second cycle, 19 students or 90.47% of students have reached the KKM and 2 students or 9.53% of students have not reached the KKM. The average student learning outcomes are 78. The implementation of learning has increased from 59.8% (enough category) to 79.5% (good category).
EFEKTIVITAS PEMBELAJARAN DARING DENGAN MENGGUNAKAN MEDIA ONLINE GOOGLE CLASSROOM (GCR) PADA MATA KULIAH KAJIAN KURIKULUM BAHASA INDONESIA MAHASISWA PGSD

This study aims to describe the effectiveness of online learning using Google Class Room (GCR) online media during the COVID-19 pandemic for Indonesian language curriculum studies. This research is a descriptive quantitative research using online media, namely google form. The research population was all sixth semester students of PGSD using random sampling technique by considering population homogeneity. The data collection instrument used an online learning questionnaire. Data analysis used descriptive statistics. The results of the study illustrate that students assess learning in Indonesian language curriculum studies using GCR online media, namely students assess learning Indonesian language curriculum studies using effective online media (60%), most of them (37%) are average and very effective ( 3%). Finally, to improve the quality of learning for Indonesian language curriculum studies during the COVID-19 pandemic, lecturers must comply with suggestions from respondents, namely implementing new strategies, conducting more discussions, providing concise and easy-to-understand material and adding more videos. interesting again.
Twitter Sentiment Analysis using Machine Learning

Twitter Sentiment Analysis is a vital field of natural language processing (NLP) and data analytics that focuses on gauging public opinion, emotions, and attitudes expressed in tweets. It involves the use of various NLP techniques, machine learning algorithms, and data mining methods to classify tweets as positive, negative, or neutral. Researchers and organizations employ sentiment analysis to understand customer feedback, track brand perception, predict market trends, and monitor public sentiment during events or crises. It's a powerful tool for social listening, enabling businesses, policymakers, and individuals to make informed decisions and engage with their audience effectively in the fast-paced and dynamic world of Twitter.
Systematic Review of Mobile Database Systems for Green Mobile Computing Ecosystem

Access to essential and corporate information through mobile devices has become a routine activity. Vehicle navigation systems, like audio systems, are becoming standard equipment. These devices are very handy and user-friendly and such users can access needed information from databases from any location, anytime utilizing wireless and cellular communications. This study systematically reviews Mobile Database Systems for Green Mobile Computing Ecosystem. 343 papers where sourced. 42 of them made it to the final stage. 341 were excluded based on title and abstract. We presented the review in a table. 90% of the work focused on MDS and 10 on GMC. The study shows that Green Mobile Database Systems has very few literatures and it is a promising research niche.
A Feature Extraction Procedure for Gray Scale Image

In content based image retrieval (CBIR) system, its main concern is to search the relevant images from the large volume of image repository in reasonable time for their realization in real time application. The performance and effectiveness of CBIR scheme, is directly associated with construction of small dimensional as well as salient image features respectively. So, in this paper, we have carried out the image retrieval process with small dimensional salient image components or features as compare to the original image size and the image retrieval accuracy has been improved due to the consideration of local information rather than global information of image data. In works starts with the quantization scheme as all the pixels are not important of feature extraction. As, color information is missing in gray images hence we have deep extracted texture and shape features keeping in mind the directionalities and geometry of the image. To extract the texture, LBP and GLCM is employed and to capture the geometry at different level, we have deployed adaptive tetrolet transformation and EDH. This scheme has been validated through several benchmark databases.
Summary

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Science and Theory

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Three Cognitive Theories

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Machine Learning and Artificial Intelligence

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Mostly Cognitive Theories

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
The Beginnings of Modern Cognitivism

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Transition to Modern Cognitivism

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
References

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.
Building shareyourpaper.org to make self-archiving the simplest way to increase a paper’s impact.

Introducing shareyourpaper.org, the simplest way for authors to legally self-archive and for your library to fill your repository. Introducing shareyourpaper.org, the simplest way for authors to legally self-archive and for your library to fill your repository.
The interaction of SPFS and CIPS: as an indispensable condition for the expansion of the international payments system: historical analysis

The relevance of the article is due to the high importance for any national economy of a financially stable and well-functioning banking sector, for which the banking payment system is a fundamental element that ensures the transfer of international financial information and the transfer of funds. In the course of the study, various methodological approaches were applied, providing an in-depth and objective analysis of the situation.
Exploring RWKV for Memory Efficient and Low Latency Streaming ASR

Recently, self-attention-based transformers and conformers have been introduced as alternatives to RNNs for ASR acoustic modeling. Nevertheless, the full-sequence attention mechanism is non-streamable and computationally expensive, thus requiring modifications, such as chunking and caching, for efficient streaming ASR. In this paper, we propose to apply RWKV, a variant of linear attention transformer, to streaming ASR. RWKV combines the superior performance of transformers and the inference efficiency of RNNs, which is well-suited for streaming ASR scenarios where the budget for latency and memory is restricted. Experiments on varying scales (100h - 10000h) demonstrate that RWKV-Transducer and RWKV-Boundary-Aware-Transducer achieve comparable to or even better accuracy compared with chunk conformer transducer, with minimal latency and inference memory cost.
AN INVESTIGATION BLOCKCHAIN TECHNOLOGY ON ENTERPRISE OPERATIONAL CAPABILITIES: A META-ANALYSIS APPROACH

Blockchain technology, a brand-new category of disruptive internet technology, is frequently employed by businesses as a technological aid to enhance production procedures and reduce spending. In this paper, we will examine the effects of blockchain technology on business operations, as well as their advantages for internal business processes and their effects on external business collaboration. An examination of the literature revealed that it has largely ignored the link between blockchain technology and corporate operational capabilities based on actual data, focusing instead solely on the business process modelling and technology design process of a blockchain-based solution. As a result, this paper gathers information from African businesses that are either preparing to implement blockchain technology or already have. Quantitative analysis of the data was done. The findings indicate that one of the key driving forces for the adoption of blockchain technology is the growth of the enterprise asset scale. Additionally, this study demonstrates how implementing blockchain technology improves asset rotation rates and lowers sales expense rates. However, the adoption of blockchain technology is one of the key business choices, which is influenced by a number of significant elements, including the manager's style, the structure of human resources, and the external policy framework, in addition to the development circumstances and stage of the firm. This paper offers some helpful recommendations for developing blockchain initiatives in the future based on the findings of theoretical and empirical investigation.
Polytopality of simple games

The Bier sphere $Bier(\mathcal{G}) = Bier(K) = K\ast_\Delta K^\circ$ and the canonical fan $Fan(\Gamma) = Fan(K)$ are combinatorial/geometric companions of a simple game $\mathcal{G} = (P,\Gamma)$ (equivalently the associated simplicial complex $K$), where $P$ is the set of players, $\Gamma\subseteq 2^P$ is the set of wining coalitions, and $K = 2^P\setminus \Gamma$ is the simplicial complex of losing coalitions. We characterize roughly weighted majority games as the games $\Gamma$ such that $Bier(\mathcal{G})$ (respectively $Fan(\Gamma)$) is canonically polytopal (canonically pseudo-polytopal) and show, by an experimental/theoretical argument, that all simple games with at most five players are polytopal.
Overcoming Barriers to Text and Data Mining in the Era of ChatGPT: the Proposed Data Act as a Game-Changer

Abstract Article 35 of the proposed Data Act intends to free databases comprised of machine-generated data from the constraints of sui generis database protection. The provision may provide some remedy for researchers facing challenges under the text and data mining (TDM) exceptions of the Directive on Copyright in the Digital Single Market. However, the wording of Art. 35 may also raise questions and create legal uncertainties for scholars, as scientific research is not the main aim of the proposed legislation. This article argues that, even after the proposed Art. 35 of the Data Act, some databases comprised of machine-generated data may still fall within the scope of the sui generis database protection under certain circumstances. The discussion revolves, inter alia, around the concept of recorded data in the context of the ‘obtaining-creating dichotomy’, the use of mixed databases and the notion of derived or inferred data, and the issue of researchers’ access to machine-generated data. The findings of this article are intended to offer guidance to researchers using Artificial Intelligence tools, such as ChatGPT, to mine databases on how they may effectively avoid a potential infringement of the sui generis database right. The paper hopes to encourage new changes in the EU regulation on TDM that could create a more balanced and research-friendly framework.