Reviewerly/exHarmony huggingface dataset:
Error Analysis in Using Simple Present Tense at Writing Descriptive Text in Eleventh Grade of MA Aqidah Usymuni Sumenep

Abstract&#x0D; &#x0D; In learning a new language, especially English, the Indonesian students are expected to master in all of English skill and also be able to communicate in English using correct structure, while in spoken or written. In other word, foreign language has different rules with first language which causes the students make some errors in their learning. In writing skill exactly, the students do some error forms in their sentence and it takes place because of some possibilities.&#x0D; There are two research focuses in this research. The first is what the students’ errors in using Simple Present Tense in writing Desriptive Text at the eleventh grade of MA Aqidah Usymuni Terate Pandian Sumenep are, then how do the errors take place in the students’ Desriptive Text is the second of research focus. While, it research is conducted on students’ eleventh grade of MA Aqidah Usymuni Terate Pandian Sumenep. This research will describe through of qualitative approach with descriptive analysis and cluster random sampling.&#x0D; In collecting the data, the researcher uses some techniques are test, documentation and interview. Then, after collected the data, the researcher analyzes it through Corder’s error analysis steps as follow: collection of samples of learner language, identification of errors, classification of errors, explanation of errors and evaluation of errors.&#x0D; Actually, learn English is not as easy as learn the own language, since it is foreign language. Therefore, many students make errors when they learn English, especially in writing. They make errors in four category errors are omission (be omission errors, verb omission errors, suffix –s/-es errors and auxiliary do errors), addition (be addition errors, double verb usage error, double be usage errors and time marker usage errors), misinformation (BE form errors, verb usage errors, pronoun usage errors, singular and plural form errors and auxiliary usage errors) and misordering (misplace of word).&#x0D; Finally, at the end of this research is the conclusion that describe the result of the study and then suggestion is offered to students especially Indonesian students and teacher special for English teacher.&#x0D; Keywords: Errors analysis, Simple Present Tense, Descriptive.
Revolutionizing Industries with Blockchain and AI: A Journey into Decentralized Intelligence

The convergence of blockchain and Artificial Intelligence (AI) has garnered significant attention due to their transformative potential.This abstract explores the synergistic effects, use cases, and transformative impact that result from combining blockchain and AI.By leveraging the decentralized and immutable nature of blockchain technology and the learning and decision-making capabilities of AI, industries across various domains can undergo a profound transformation.Blockchain's secure and transparent framework provides an ideal platform for storing and sharing data, ensuring its integrity.AI algorithms, in turn, can leverage this trusted data source to process and analyze information, facilitating secure and private data sharing among multiple stakeholders. The combination of blockchain and AI introducesseveral key areas of convergence.Firstly, it enhances data security and privacy, as blockchain's tamper-resistant nature safeguards sensitive information.Secondly, the integration enables trustworthy and transparent AI, as blockchain's immutable ledger records AI models and their decision-making processes, fostering trust and auditability.Furthermore, blockchain-based platforms facilitate fair and transparent data marketplaces, where individuals can retain ownership and control over their data while monetizing it through AI-driven insights.Blockchain also supports the validation and verification of AI models, ensuring their accuracy and reliability through reputation systems and smart contracts.In addition, blockchain's decentralized decision-making and consensus mechanisms enable the creation of transparent and democratic AI governance systems.This allows stakeholders to collectively participate in decision-making processes and shape the ethical development of AI technologies.Through real-world examples and case studies across industries such as healthcare, finance, supply chain, and energy, this abstract demonstrates the transformative potential of the blockchain and AI convergence.It also highlights challenges related to data ownership, privacy, security, and the ethical use of AI.In conclusion, the combination of blockchain and AI represents a powerful force for positive change.By harnessing the transparency, security, and decentralization of blockchain and the intelligence of AI, industries can undergo a paradigm shift, fostering trust, empowering individuals, and unlocking the full potential of data-driven technologies.
Artificial Intelligence and Digital Pathology for Improving Cancer Diagnosis, rading and Patient Care

The state of the art techniques in Artificial Intelligence (AI), when applied to Digital Pathology (DP) of Prostate Cancer, can provide a timelier and accurate automatic alternative to manual microscopic evaluation.The proposed DP alternative will reduce the time for diagnosis, grading, and treatment and will result in greatly improved patient care.Prostate Cancer is the third most commonly diagnosed cancer worldwideafter lung and breast cancer and the fifth most common cause of cancer-specific death inmales.Further, it is the most commonly diagnosed non-skin malignancy in men and the second overall leading cause of cancer mortality.It is estimated that 1 in 6 American men will be affected by this ailment during their lifetimes.The increased volume of prostate biopsies and a shortage of pathologists are major challenges for the task of diagnosis and grading.Given the overwhelming impact of this disease and the challenges in diagnosing it, we developed novel algorithms for addressing the tasks of diagnosis and grading of prostate cancer by using state of the art AI techniques in image classification.Using this novel algorithm, we aim to mimic the manual modeling process of pathologists who analyze the WSIs by visually inspecting and classifying tissue regions and then detecting one or more Gleason patterns.AI models used in healthcare should be reproducible and should be validated thoroughly on a large-scale dataset from different laboratories.
Application of multimedia technologies in the educational process of higher education institutions in the conditions of war and modern geopolitical challenges

The article is devoted to the problem of using multimedia technologies in the educational process in the conditions of war and modern geopolitical challenges. The pandemic and war have become a new challenge in the higher education system. However, the education system quickly adapted to the current realities and is trying hard to continue providing educational services. The rapid development of information technologies, not only in the production spheres, but also in the sphere of education, make it possible to study anywhere and at any time. And multimedia educational systems play a key role in this, it was based on them that education was organized and continued in the conditions of a pandemic and war. The article analyzes the state and development of educational multimedia technologies. The reasons for the emergence of multimedia technologies in education are given. The meaning of the concept of "multimedia education" is revealed. The article reveals the polysemic meaning of the term multimedia, shows the cognitive nature of multimedia education. Differences in learning technologies when using multimedia and the advantages of their use are shown.
Helping Local Cleaners Reach Out to the World using Online Platforms

Abstract: The main purpose of this research paper is to evaluate the effectiveness of online platforms in building or funding small businesses and individuals. This is one of the biggest messes in each and every part of the world, not only in India. Finding every day labourers, maids, and cleaners for everything from household work to industry maintenance is a major dilemma that could be resolved by using websites, applications, and different online portals. Research on such topics will improve the work culture and efforts of such people and increase the number of job opportunities in this industry. Smart phones have now become a necessity for every person, as he or she can access the portal through the mobile device. No such platform is created to reach out to the workers or for the workers to reach out to the people to complete a particular task. In this research paper, I propose methods, means, and techniques to visualise, maintain, and create a better future. Related content, news, information, and traffic on the webpage will be monitored for their respective areas. The advantage of our portal will be that it is easy to use and that each and every person will be able to use the functions properly while keeping their native language option alongside English. Productivity and trust play an important role in making decisions that make lives easier. Not only in theoretical analysis but also in many surveys and experiments are there precise algorithms for the models made. Case studies regarding the same will give us a clear idea for developing and maintaining these online platforms. (Experiments and surveys have yet to be conducted.)
Evaluation of Infrastructure Conditions and Needs to Drive Tourism 4.0

Purpose: Today, the Covid-19 pandemic has significantly impacted the tourism sector. Bali must stay alive and exist during the pandemic as a province that relies on the tourism sector. As one of the tourist attractions owned by the Province of Bali, Arts Center Cultural Park has a characteristic as a place for performances to develop artistic talents. In addition, it functions as a forum for MSMEs (Micro, Small and Medium Enterprises), especially for the Balinese people. The era of tourism 4.0 encourages the transformation of tourism objects towards digitalization. Research that examines conditions, infrastructure needs, and development strategies is needed to transform it to face the tourism era 4.0.&#x0D; Design/methodology/approach: This research method uses a descriptive qualitative method with interviews and literature studies.&#x0D; Findings: The expected results of the research are infrastructure in the form of an open stage, a performance hall, exhibition building, management building, parking, and other utilities. The digitization program that can be applied is the use of Virtual Reality (VR) and mobile technology to face the 4.0 tourism era.&#x0D; Paper type: Research paper
Editor’s Note (to Future Readers—Especially You Newer Ones

Moments of change provide opportunities for reflection. I am fairly sure that function is part of what makes us human. When I assumed the editor’s chair for RBM: A Journal of Rare Books, Manuscripts, and Cultural Heritage, I knew that I would eventually turn over that chair to a successor. Such is the lot of we mortals; nothing lasts forever. Even so, in turning over my last issue to you, dear Reader, I conclude my editorial forum with a few musings and admonitions from an old guy with more experience than wisdom, begging your indulgence in this final and somewhat more personal editorial comment.
METHODS OF INFLUENCING THE FORMATION OF THE MOTIVATIONAL AND VALUE COMPONENT OF THE READINESS OF FUTURE FOOD INDUSTRY ENGINEERS-TEACHERS FOR CREATIVE PROFESSIONAL ACTIVITY

The relevance of the study lies in the need to update the content of professional (vocational) education and methods of professional development of teachers, which requires: taking into account technical and technological changes in the sectors of the economy; introduction of innovative technologies in the educational process; creation of flexible trajectories for mastering the competencies demanded by employers; training of motivated specialists of a new generation, in particular, food industry engineers-teachers. The study purpose: to highlight the methods of psychological and pedagogical influence on the formation of the motivational and value component of future food industry engineers-teachers readiness for creative professional activity. Research methods: generalization and systematization of scientific and theoretical provisions ‒ to clarify the essence of the basic concepts essential for highlighting the methods of psychological and pedagogical influence on the formation of the motivational and value component of future food industry engineers-teachers readiness for creative professional activity. The methodology of influencing the formation of the motivational and value component of future food industry engineers-teachers readiness for creative professional activity is effective through the use of task-based and creative approaches. The task-based approach to the organization of the educational process of future food industry engineers-teachers allowed to shift the emphasis from reproductive activities to the accumulation of experience in solving mental problems that require not only memorization of ready-made knowledge, but also the search for ways to solve it and creative activity. The creative approach stimulated future food engineers to develop a creative personality, creative style of activity, non-standard solutions to specialized tasks and practical problems in a particular field of activity, and the ability to innovate.
P22 Severity Score Extraction from Unstructured Clinical Notes Using a Disease-Agnostic Natural Language Processing Question-Answering Pipeline

To use a disease-agnostic natural language processing (NLP) question-answering (QA) pipeline to extract disease severity from electronic health record (EHR) clinical notes and to validate the pipeline by comparing healthcare resource utilization (HCRU) across severity groups.
EPH219 Digital Contact Tracing for COVID-19: Overview of Existing Systems and Framework for Future Innovation

The COVID-19 pandemic catalyzed innovation in infection control measures, including widespread deployment of digital contact tracing systems. However, these technologies were not well understood by the general public and were complex for the public health community to implement, hampering adoption. To provide an overview of existing digital contact tracing systems, creating a framework for understanding design elements that impact their effectiveness as public health tools and offering a rubric for decision-makers to evaluate different systems for selection and implementation. Scientific literature and publicly available information from relevant health authorities and other stakeholders was reviewed. Information was synthesized to develop a conceptual framework explaining how key design elements impact effectiveness of digital contact tracing systems and highlighting opportunities for future improvement. A range of digital contact tracing interventions were deployed by governments worldwide and several professional sports leagues. Key design elements of the systems include: (1) data architecture (i.e., centralized versus decentralized systems, impacting privacy guarantees and data availability); (2) proximity detection technology (e.g., type of device signaling); (3) alert logic and timing (e.g., time- and distance-based criteria affecting sensitivity and specificity of alerts; real-time proximity alerts and/or bidirectional contact tracing, determining scope of infection prevention); (4) population (eligibility and availability); and (5) the structural and public health context of intervention (e.g., availability and timeliness of testing). Several systems demonstrated effectiveness in preventing transmission during COVID-19, though numerous limitations have also been documented in the literature. Digital contact tracing systems have the potential to mitigate the economic and public health impact of future infectious disease outbreaks, reducing community transmission and detecting potential cases earlier in the disease course. Lessons learned from solutions deployed during the COVID-19 pandemic provide an opportunity to improve multiple aspects of these systems, enhancing preparedness for future outbreaks.
EE244 Cost-Effectiveness Analysis of Liposomal Amphotericin B Versus Isavuconazole for Treating Mucormycosis in the Consolidation Phase from the Perspective of the Brazilian Unified Health System

Mucormycosis is a rare invasive fungal infection with high lethality, affecting mainly patients with hematological neoplasia, decompensated diabetes, and covid-19 infection. The aim was to perform a cost-effectiveness analysis of liposomal Amphotericin B (standard treatment) versus isavuconazole for treating mucormycosis in the consolidation phase from the perspective of the Brazilian Unified Health System.
MSR30 Comparison of Search Design and Output of Embase Using Two Different Search Interfaces: Embase.com and OVID

Different search interfaces use different search functionality and indexing. This research aimed to investigate the variances between the two most commonly used search interfaces and their impact on search results.
Análisis de errores en la conjugación del imperfecto de indicativo en la producción escrita de los estudiantes egipcios de postgrado de E/LE.

Through this article we want to verify the use of the imperfect tense of the indicative mood by postgraduate students of Egyptian origin (ELE) when carrying out written expression tasks.To this end, we rely on a methodology focused on the analysis of errors, to find out some of the causes that lead them to error and thus develop certain specific and concrete guidelines at the grammatical level.In our study we have taken a sample group of 20 students of E/LE, who are studying postgraduate and are of Egyptian nationality (with a high linguistic level).
Assessment of the emotional sphere of children with atypical development using the CEDM

In this paper, we describe the process that we used to create a new corpus of children’s emotional speech. We used a Wizard of Oz (WoZ) setting to induce different emotional reactions in children during speech-based interactions with two robots. We recorded the speech spoken in Mexican Spanish by 174 children (both sexes) between 6 and 11 years of age. The recordings were manually segmented and transcribed. The segments were then labeled with two types of emotional-related paralinguistic information: emotion and attitude. The corpus contained 2093 min of audio recordings (34.88 h) divided into 19,793 speech segments. The Interactive Emotional Children’s Speech Corpus (IESC-Child) can be a valuable resource for researchers studying affective reactions in speech communication during child-computer interactions in Spanish and for creating models to recognize acoustic paralinguistic information. IESC-Child is available to the research community upon request.
Error-signalling and expecting the unexpected

Information theory uses the Kullback–Leibler divergence to compare distributions. In this paper, we apply it to bayesian posterior distributions and we show how it can be used to train a machine learning algorithm as well. The data sample used in this study is an OCTOTelematics set of driving behaviour data.
Deep Learning Architectures in Language Learning: A Paradigm for Change

Along with the unprecedented developments regarding all dimensions of education systems, the successful implementation of technology-based pedagogic interventions would be of great interest. One of the major areas of progress deals with the essential qualities of the deep neural network in the various domains of research as well as science, which is fundamentally built to imitate the activity of the human brain, including cognitive, affective, social, and emotional factors. Undoubtedly, great attention should be paid to the feasibility of implementation of the varieties of deep learning architectures in language learning environments, which can be assessed. In this paper, deep learning architectures are examined to study the architectures, aspects, and models regarding deep language learning in order to improve the performance of learners of English as a foreign language. The general stages of any dynamic modeling approach include selecting a mathematical model for a physical problem, developing the model, and finally providing its solution to describe the basic components and theoretical background conducing to the emergence of a new paradigm in the context of language learning. Considering the deep learning architectures of Deep Convolution Neural Networks (DCNN), and Recurrent Neural Networks (RNN), aspects of language learning were examined. The survey necessitates implementing a neurophysiological paradigm embracing all learning requirements.
TEACHERS` PERCEPTIONS OF DIGITAL GAME-BASED VOCABULARY LEARNING

The most problem in teaching and learning English that faced by the teacher is the students` lacks of vocabulary. The problem caused by the media used in teaching and learning process that makes the students feel bored, less motivation when joining the class. So, it needs the novelty learning media especially in teaching vocabulary, such as: Digital Game-Based Vocabulary Learning (DGBVL). This study investigates how the elementary EFL teachers` perceptions of DGBVL. It is used the qualitative research method with a case study design. 3 EFL teachers who work in Ulul Ilmi elementary school in Medan were interviewed. Data collected through interviews was analyzed using the descriptive analysis method. The study's findings indicated that teachers have generally positive perceptions of DGBVL. For the appropriateness, it was very good, appropriate for use as a learning media, can create an effective, creative, innovative, and fun learning process. For the content, teachers expressed their perception that in general, the content was sufficient, although it may be simplified more and that it was transferable to students. For the assessment, teachers expressed generally positive about the assessment as it was based on implementation. Teacher revealed that the biggest problem was time constraints, some students were still unable to operate DGBVL
The Development and Research of Sino-Foreign Cooperation in Running Schools in Chinese Private Universities

With the continuous development of China's higher education, the Sino-foreign cooperative education model has gradually become one of the important components of my country's higher education. In recent years, with the increasing support of the state for Sino-foreign cooperative education, more and more private colleges and universities have begun to carry out Sino-foreign cooperative education. Sino-foreign cooperative education has become a new trend in the development of private higher education in my country. This article will start with the concept, history, development status and model of Sino-foreign cooperative education, analyze the significance of Chinese private-run Sino-foreign cooperative education to the high-quality development of colleges and universities, discuss its existing problems and countermeasures, and put forward relevant suggestions.
Gym &amp; Yoga Trainer Using Machine Learning

Abstract: The project titled "Gym and Yoga Trainer Using Machine Learning" aims to leverage the power of machine learning algorithms to enhance the gym and yoga training experience. This innovative system utilizes computer vision, motion tracking, and data analysis to create an intelligent training platform. The primary objective of this project is to develop a system that can analyze the user's movements during gym workouts and yoga sessions in real-time. By employing computer vision techniques, the system captures and analyzes the user's posture, form, and technique, providing instant feedback on areas that require improvement. This real-time feedback helps users perform exercises correctly, reduce the risk of injury, and optimize their fitness routines.