Reviewerly/exHarmony huggingface dataset:
Assessment of the Use of Social Media by Farm Scientists of Colleges of Agriculture, and Dairy Science, Zars, Kvk, Kalaburagi Deistic: A Case Study

Abstract The growth and popularity of Social Media is a Information Communication Technology. It is one person to anther persons communicate, transformation collaboration of the information. it is online communication sites, improving the new knowledge and very useful of social media. It is helps in Academic work, Research work, Extension work, etc. It is plural of medium, channels, websites, tools, number of searching ways information communication it is a process, access, learning, searching, creating, the new ideas, messages, offline and online information communication use of social media, social media it is a very important and use of many more number of people in our related work, The well structured questionnaires was designed and used to collect the data to know the various of use of social media by farm scientists of the college of agriculture Kalaburagi, college of dairy science mahagvan, zonal agriculture research station, Kalaburagi (ZARS) and krishi vignana Kendra (KVK) Kalaburagi districts it studies about how it has been improving their information communication skills in the field of farm. Keywords: Use of Social Media, Farm Scientists, Use of Information Communication Patron.
Web Modeling through in Re-Engineering of Library and Information Services at Chirala Engineering College

Abstract Discusses various aspects and approaches that Chirala Engineering College Library is employing to provide the resources and services available to users. Outreach and promotion of library resources and services is an increasing challenge in the online world since many of users do not often visit the library. This is particularly true in science and engineering libraries, where much of content have been made available online and users tend to be technology savvy. Elaborates the process of re-engineering of automation initiatives and digital library initiatives to prepare the ground base for hybrid library. Library website is designed in such a way that helps us to re-engineering of library and information services to maximize usage and draw users back into the library, both physically and virtually. Keywords: Re-engineering with the use of new approach and networking technology, Re-engineering of Library Automation Initiatives, Re-engineering of Digital Library Initiatives, Introducing DDS, Introducing VRD (Virtual Reference Desk).
The Effect of Management Information System on the Routine of Academic Librarians in Federal University of Technology Minna Library

Abstract This study investigated the impact of the use of management information system (MIS) by academic librarians in Federal University of Technology Minna Library. Specifically, three objectives guided the study such as the availability of management information system facilities, the impacts of management information system to academic librarians and the challenges of management information system. It adopted a descriptive survey design and had a population of 30 academic librarians in Federal University of Technology Minna Library. The study purposively used the whole population of academic librarians in Federal University of Technology Minna Library. Thirty copies of the questionnaire were distributed with twenty-six (26) returned; representing a return rate of 86%. The data collected were analyzed using percentages. The findings of the study revealed that there are management information system facilities in Federal University of Technology Minna library, management information system is helping the academic librarians in the smooth running of university library records and for decision making, the challenges of management information system being faced by academic librarians in Federal University of Technology Minna library are lack of basic ICT skills, inadequate power supply, lack of management involvement in the design of MIS, low data concentration, lack of management support and inadequate ICT professionals. The study recommended that attention should be given to management information system for effective records keeping and efficient decision making. There is the need to have an effective management information system in place for prompt decision making and for effective records keeping by the academic librarians, the challenges facing management information system should be looked into and solve once and for all so that Federal University of Technology Minna Library will have an effective and reliable management information system for decision making and records keeping in the library. Keywords: Management Information System (MIS), University library, academic librarians, computer, impact, Records.
Physical modelling of a harp from Central Africa

Central Africa harps are string instruments, often anthropomorphic, serving an essential cultural role. Compared to pedal harps, their body is small in size with a soundboard mainly made of animal skin and a neck made of a wood beam. In this paper, a physical model is developed as a tool for assessing the specificities of these musical instruments, from a vibro-acoustic perspective. The modeling strategy is based on the modal Udwadia-Kalaba formalism which is a multibody substructuring technique. Input modal parameters of the body and the strings are experimentally identified and the main steps of the estimation procedures are detailed. The reliability of the physical model is investigated via the comparison between simulated and experimental data for several plucking configurations. Different hypotheses are assessed such as the string/neck coupling which proves to strongly influence the dynamic response of the body when there is a coincidence between string and neck modal frequencies. The inclusion of geometrical nonlinearities proves to be of major importance, even for a weak plucking, as it allows qualitative representation of double frequency terms in the simulations. Overall, physical simulations of the soundboard motion are in good agreement with measurements indicating characteristic features of the instrument are captured.
Design and Implementation of the Translation Tool Based on Cloud Services on Android Platform

This article designs and implements an English translation tool based on cloud services to meet users' needs for English translation, and utilizes cloud services and server-side related technologies to implement the functions required by users, providing them with a good user experience. Through research on cloud services and related technologies, an English translation tool based on cloud services has been designed and implemented. First of all, the cloud service technology is studied, including the architecture design of cloud services, the deployment of cloud services, the design of the server, the design of the client, and the deployment of cloud services. On this basis, the system architecture design, database structure design, and client interface design of English translation tools based on cloud services are carried out. After optimizing the design of cloud services, the translation accuracy of the English translation tool reached 92.5%; the translation time was reduced to 2.9 seconds; the vividness score increased to 9.8 points. The English translation tool based on cloud services has achieved significant improvements in accuracy, time required, and liveliness. It can process the English input from users and output translation results, meeting their needs for English translation.
Legal Protection of Digital Art Copyrights on Social Media

Digital art is the result of an artistic work or practice that uses digital technology as part of the creative process. In this modern era, creators of works usually upload their work on a platform such as social media, but this has a negative impact on the work and the possibility of misuse of the
Klasifikasi Penyakit pada Daun Anggur menggunakan Metode Convolutional Neural Network

Abstrak&#x0D; Penyakit pada daun dapat mengurangi kualitas dan produktivitas. Deteksi atau klasifikasi penyakit pada tanaman memiliki peran yang sangat menonjol di bidang pertanian modern. Penelitian ini bertujuan untuk mengetahui akurasi klasifikasi objek penyakit pada daun dengan metode Convolutional Neural Network dengan menguji ukuran citra, arsitektur, nilai learning rate, dan jumlah epoh untuk mendapatkan akurasi yang baik. Selain itu menerapkan regularisasi Dropout untuk menghindari overfitting dan algoritma optimisasi RMSProp agar laju pembelajaran beradaptasi dengan kondisi data. Dataset yang digunakan berupa citra daun anggur sehat dan berpenyakit, berasal dari PlantVillage. Berdasarkan hasil pengujian, ukuran citra 128 × 128 piksel, arsitektur dengan 5 lapisan konvolusi, nilai learning rate 0.001 dan epoh sebanyak 30 menghasilkan nilai akurasi yaitu 98,5% untuk kelas Black Measles, 98,1% untuk kelas Black Rot dan 99,5% untuk kelas Healthy.&#x0D; Abstract&#x0D; Leaf diseases can reduce quality and productivity. Detection or classification of diseases in plants has a very prominent role in modern agriculture. This study aims to determine the classification accuracy of disease objects on leaves using the Convolutional Neural Network method by testing image size, architecture, learning rate, and number of epohs to obtain good accuracy. Besides that, it applies Dropout regularization to avoid overfitting and the RMSProp optimization algorithm so that the learning rate adapts to data conditions. The dataset used is in the form of images of healthy and diseased grape leaves, from PlantVillage. Based on the test results, the image size is 128 × 128 pixels, the architecture with 5 convolution layers, the learning rate is 0.001 and the epoh is 30, which results in an accuracy value of 98.5% for the Black Measles class, 98.1% for the Black Rot class and 99.5 % for Healthy class..
String

This chapter talks about 13 string-based problems. These challenges are explained with some examples and then programmed in Python. The problems are listed as follows: 1. Performing Pancake Scramble into texts. 2. Reversing the vowels of a given text. 3. Word shape from a Text Corpus. 4. Word height from a Text Corpus. 5. Combining adjacent colors based on given rules. 6. McCulloch second machine. 7. Champernowne Word. 8. Combining the given strings into one new string based on some rules. 9. Unscrambling the given words. 10. Auto correcter word. 11. Correct verb form in Spanish. 12. Subsequent letters. 13. Possible words from a text corpus.
Security and Trust in Online Booking Systems: A Comparative Analysis Of Tour and Travel Websites

The Tour and Travel sector have undergone a transformative shift with the proliferation of online reservation platforms, redefining how individuals plan and secure their travel arrangements. This study critically examines the pivotal aspects of security and trust within the digital landscape of tour and travel websites, aiming to provide a comprehensive comparative analysis.In our increasingly digitised age, the security of sensitive financial and personal data is of utmost importance. Our investigation begins with a thorough analysis of the security precautions taken by a wide-ranging sample of tour and travel websites. The effectiveness of user authentication, data protection protections, and conformance with industry standards are some of the key areas under evaluation. This analysis reveals considerable discrepancies in how these security protocols are applied, potentially exposing weaknesses in particular systems. The foundation of the internet booking procedure is trust, as well. This study evaluates a variety of elements, such as user reviews, website design, pricing transparency, and timeliness of customer support, when evaluating trust-building strategies. The study draws attention to the varying approaches taken by various websites to build trust, which has a big impact on how confident customers are in the booking process. This research explores the practical repercussions of security breaches and trust deficiencies, combining real-world case studies and user input, in addition to security and trust evaluation. These results highlight how these elements have a significant influence on consumer behaviour and brand reputation. This comparison analysis highlights the critical requirement for uniform and strong security safeguards across all online booking systems, to sum up. At the same time, it highlights how crucial it is to create trust-enhancing strategies like open pricing and attentive customer care. This research is a useful resource for industry stakeholders, regulatory agencies, and consumers in an era where digital travel planning and booking predominates, enabling informed decision-making and supporting a safe and reliable online booking environment. Additionally, a key element affecting customer choices during the online booking process is trust. This study considers factors including user reviews, website design, pricing transparency, and customer service responsiveness to gauge trustworthiness. It becomes clear that different websites employ quite different trust-building techniques, which has an effect on users' faith in the reservation process.
The Impact of Computers on Global Economic Growth: Evidence, Examples, and Case Studies

The proliferation of computers has brought about transformative changes in nearly every aspect of society, with profound implications for the global economy. This research paper undertakes a comprehensive analysis of how computers have influenced economic growth on a global scale. Drawing upon an extensive review of the literature, empirical evidence, and in-depth case studies, this paper delves into the multifaceted relationship between computers and economic growth, illuminating their pivotal role as drivers of prosperity, innovation, and inclusive growth.
The Evolution of Generative AI: Implications for the Media and Film Industry

This research paper scrutinizes and explores the substantial impact of Artificial Intelligence (AI) and Generative AI on the media and film industry. It delves into the continuously evolving applications of AI algorithms and advanced models, emphasizing their profound implications for content creation, production workflows, and distribution strategies. The paper offers comprehensive insights into the operational mechanics of key AI models, underscoring their direct relevance within the domain of media and film. This inquiry provides a timeless and academic perspective on the transformative influence of AI and Generative AI in these industries, facilitating a deeper understanding of their applications and implications.
Library and Information Science subject experts database from IRINS: an overview

IRINS is an admirable source of acquiring information on experts working on various subjects at different academic institutions and involved in teaching-learning process, provides a platform for finding experts with parallel proficiency. This paper aims to explore the expert database of Library and Information Science particularly with their designation and states from where they develop their scholarly contents.
Exploring Communication Channel Selection for Enhanced Audit Quality: Internship Student's Perspective

Effective communication is essential for maintaining audit quality and providing assurance over financial information. This study investigates auditors' communication channel preferences and their impact on audit quality in the context of digitalization and changing communication norms. The research aims to address two primary questions: the communication channels auditors prefer and use for audit-client communication, and how the choice of communication channels influences audit quality. The audit quality is measured through audit effort and auditor performance using a descriptive and quantitative research design. The preferred and actual communication channels are categorized as traditional (face-to-face) and technology-mediated (e-mail, instant messaging, phone calls). The findings reveal that while auditors prefer in-person meetings and texting platforms, they mostly use technology-mediated communication during audits, possibly due to factors like the COVID-19 pandemic. The study contributes to a deeper understanding of auditors' communication choices and their impacts on audit quality. It suggests that the complex relationship between communication channels and audit quality needs further exploration, potentially through larger sample sizes and mixed-method approaches. The insights gained from this research can benefit audit practitioners, regulators, and educators in enhancing audit communication practices and quality.
Deep Learning Tone-Mapping and Demosaicing for Automotive Vision Systems

High dynamic range (HDR) imaging technology is increasingly being used in automated driving systems (ADS) for improving the safety of traffic participants in scenes with strong differences in illumination. Therefore, a combination of HDR video, that is video with details in all illumination regimes, and (HDR) object perception techniques that can deal with this variety in illumination is highly desirable. Although progress has been made in both HDR imaging solutions and object detection algorithms in the recent years, they have progressed independently of each other. This has led to a situation in which object detection algorithms are typically designed and constantly improved to operate on 8 bit per channel content. This makes these algorithms not ideally suited for use in HDR data processing, which natively encodes to a higher bit-depth (12 bits/16 bits per channel). In this paper, we present and evaluate two novel convolutional neural network (CNN) architectures that intelligently convert high bit depth HDR images into 8-bit images. We attempt to optimize reconstruction quality by focusing on ADS object detection quality. The first research novelty is to jointly perform tone-mapping with demosaicing by additionally successfully suppressing noise and demosaicing artifacts. The first CNN performs tone-mapping with noise suppression on a full-color HDR input, while the second performs joint demosaicing and tone-mapping with noise suppression on a raw HDR input. The focus is to increase the detectability of traffic-related objects in the reconstructed 8-bit content, while ensuring that the realism of the standard dynamic range (SDR) content in diverse conditions is preserved. The second research novelty is that for the first time, to the best of our knowledge, a thorough comparative analysis against the state-of-the-art tone-mapping and demosaicing methods is performed with respect to ADS object detection accuracy on traffic-related content that abounds with diverse challenging (i.e., boundary cases) scenes. The evaluation results show that the two proposed networks have better performance in object detection accuracy and image quality, than both SDR content and content obtained with the state-of-the-art tone-mapping and demosaicing algorithms.
The Implementation of Anagram Technique to Enhance the Seventh Grade Students Vocabulary Mastery

This research was mainly conducted in order to prove that anagram technique could improve students’ vocabulary mastery of the seventh grade students of SMP Santo Thomas Medan in the Academic Year of 2021/2022 and to describe their responses towards the implementation of anagram technique during the processes of learning teaching. The quantitative data analysis showed the mean score increases from 78 in Pre-test with 65% of the students got score ≥ 75, to do the post test one with 74% of the students got score ≥ 75. From post test one 80 risen up to 92 in post test two with 97% of the students got score ≥ 75. Nearly all the students pass the minimum completion criterion which is 75. Their mean score is much higher than that. As for the qualitative data, they throwed their enthusiasm in learning with anagram technique because above 60% of students agree and 23% of students are strongly agree. The research findings showed that teaching vocabulary by using anagram technique to the seventh grade students of SMP Santo Thomas 3 Medan could improve their vocabulary mastery significantly.
Adaptive brightness equalization and specular reflection suppression of narrow-band endoscopic images : NBI image enhancement algorithm

In clinical endoscopic diagnosis, the endoscopic image quality is reduced due to interference. The interference factors mainly include local overexposure and shadow of images caused by light source irradiation angle and specular reflection caused by tissue fluid. As the primary task in developing a computer-aided diagnosis (CAD) model, high-performance image enhancement algorithms can help them obtain a more accurate recognition rate. This study takes the endoscopic images of Barrett’s esophagus (BE) collected under narrow-band imaging as the research object. An adaptive brightness equalization algorithm and a specular reflection suppression algorithm are proposed to preprocess datasets, and the existing segmentation model confirms the algorithm. The experimental results show that the image enhanced by the algorithm has a certain degree of improvement in the overall and local dark areas and texture details, eliminates the specular reflection, and effectively improves the recognition accuracy of the segmentation model. The proposed algorithm improves the Mean Intersection over Union (MIoU) by 10.8% and the F <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> -Score by 8.76% on the self-built BE datasets. It shows that it can play an excellent auxiliary diagnostic role and obtain higher diagnostic efficiency in clinical diagnosis.
English Learning Strategy and Learner’s Cultural Background

English as a second or foreign language, it is often found that learning English is not an easy task, In order to overcome that difficulty, there are many factors that can be counted in, including learning strategies. Learning strategies are considered as self-improvement devices that might be driven by learners themselves or by teachers. In addition, culture might play important role in determining learning strategy since culture cannot be separated from language as well as its learning/teaching. This paper attempts to provide a learning strategy that might meet with Indonesian students’ cultural background. As noticed, Indonesians commonly hold mutual assistance as one of life principles. Hence, this paper also provides an explanation concerning learning strategy which may meet with mutual assistance principle: collaborative learning.
Penerapan Model Pembelajaran Problem Based Learning untuk Meningkatkan Motivasi Belajar Siswa

Research has been conducted on the Application of Problem Based Learning Models to Increase Student Learning Motivation in class VII J SMPN 45 Surabaya. This research is a classroom action research with the results of research that the application of problem based learning, learning models can increase student learning motivation. This is evident from the results of research observations after applying the Problem Based Learning learning model, student learning motivation increased from 47% in cycle I to 71% in cycle II. Furthermore, the results of the learning motivation questionnaire increased from 53% in cycle I to 79% in cycle II. So that student learning motivation that was previously in the low category increased to motivation in the high learning motivation category.