Reviewerly/exHarmony huggingface dataset:
UPAYA MENINGKATKAN KEMAMPUAN MEMBACA MELALUI MEDIA PERMAINAN KARTU BERGAMBAR PADA SISWA KELAS 1 MI NW SEKUNYIT

This study aims to describe how the use of picture card games (flashcards) in grade 1 students of MI NW Sekunyit for the 2021/2022 academic year and to improve reading skills in the beginning of Indonesian in class I MI students. This research is a Classroom Action Research (CAR) carried out in 2 cycles with 3 meetings in each cycle with a total of 31 students. In the pre-action the percentage of new students' completeness reached 23%, after the action was carried out in cycle I the percentage of students' completeness increased to 55%, in cycle II it increased to 77% so the researcher did not proceed to cycle III.
Manuscript Online Repository as Scholar References Source

One of the alternatives to revive the religious manuscript researcher and scholar passion is by providing an easy online reference about religious manuscript. Some manuscript researcher of ex-Office of Religious Research and Development Ministry of Religious Affairs have started to make and maintain an online repository about religious manuscripts since 2019. The plentiful manuscript data, which is resulted from research, contain philological description aspect and digital photo file needs to be followed up more than just a research report or catalogue. It also needs to be easily accessible by other scholar and researcher in an open access repository. This online repository, managed by the researcher team, contain almost 450 religious manuscripts from Madura. The other data that will be uploaded are Islamic manuscript found in Bali, manuscript by K.H. Ahmad Rifa’i Kalisalak, Syaikh Mahfudz Termas, and also from K.H. Hasyim Asy’ari. Using descriptive qualitative method, this paper aims to answer and introduce to three aspects, namely: a) the importance of providing an open access of religious manuscript using online repository; b) the content and general description of religious manuscript online repository; and c) the guidelines on how to access and download the manuscript from online repository.
How Social Media Marketing Affecting Brand Equity And Student Engagement in Higher Education Marketing

The utilization of social media enables interpersonal communication and user engagement, thereby altering conventional hierarchical communication methods and introducing an unpredictable element into the decision-making process of consumers. Social media marketing is an essential component for organizations seeking to maintain competitiveness, despite being viewed as a part of online marketing. The efficacy of social media promotion is contingent upon the existence of novel products, the market responsiveness of organizations, and the establishment of robust online platforms. Social networking sites such as Twitter, Instagram, and Facebook have become essential instruments for marketers. These platforms are extraordinarily valuable for the promotion of brands and services because they facilitate interactive communication. Social networking sites play a crucial role in the dissemination of information about higher education institutions, serving as effective mechanisms for attracting potential students. The influence of the material disseminated on these online platforms on the cognitive processes of potential students in making decisions is yet to be established. The crucial non-financial advantage of institutions' utilization of social media platforms is the recognition of user engagement. A comprehensive understanding of user involvement across diverse platforms can augment our comprehension of its impact on brand perception. The visual-centric attributes, along with elevated engagement rates among a diverse, young, and international population, have made Instagram a powerful platform for institutions of higher education. The article emphasizes the significance of brand equity within the marketing approach of higher education establishments. The concept of brand equity is subject to the influence of various factors, including but not limited to brand personality, social credibility, and market position. Ensuring the provision of superior amenities and services is imperative for academic institutions. However, the establishment of a proficient communication mechanism is equally vital for enhancing the university's brand positioning and managing the value of its brand efficiently. The notion of 'brand soul' serves as the foundation for this, denoting how the academic institution's faculty and staff personify the brand.
Research on Lightweight Remote Sensing Image Object Detection Algorithm

In order to solve the problems of low accuracy and slow speed that appear in traditional remote sensing detection algorithms, this paper proposes a remote sensing image object detection algorithm yolov5sf based on yolov5s improvement. The more lightweight ghost convolution module is used in the yolov5sf algorithm to reduce the redundancy in the feature map, and the hard-swish activation function is used to avoid a large number of exponential operations. We embed the GC attention module in the csp block to capture the dependencies between different channels and suppress useless features. Meanwhile, to address the problem that the network is not accurate for oversized targets detection, an mixed receptive field feature enhancement module is proposed to be placed in the downsampling layer for adaptive scaling of features of different receptive fields. The Yolov5sf algorithm is lightweight enough, with only 4.4M parameters, and only 65% of the computational effort of yolov5s and 6.7% of yolov3. Our map-50 metrics on the RSOD dataset was reduced by only 0.4%, with a 1.2% improvement in detection accuracy for the oversize target overpass category.
Exploration of Smart Tunnel Solutions

Smart tunnel solution focuses on the development strategy requirements of digital transportation development plan, transportation power construction outline, comprehensive transportation three-dimensional planning, based on holographic perception, data mining, cloud platform analysis, mobile Internet and other advanced technologies, aiming at the safety, unimpeded, energy saving, operation and maintenance and other business needs involved in tunnel management, through all factor perception, all business management, all services and other measures, provides software and hardware integrated intelligent tunnel solutions. It breaks the barriers between businesses, realizes the effective integration of resources, resource sharing, business collaboration, strengthens data analysis, improves the ability to assist decision-making, builds a safe, reliable, convenient, efficient, green, intensive and intelligent advanced smart tunnel, realizes intelligent control, networking collaboration and digital services of the tunnel, and realizes the visibility, measurability, controllability and serviceability of tunnel operation.
Research on Seismic Data Compression and Error Correction System

This paper introduces a seismic data compression and error correction system suitable for digital seismic stations and networks. The transmitter of the system performs intra-frame compression and inter-frame redundancy on seismic data, and sends the processed data Return to the seismic monitoring center through wired or wireless channels. After receiving the data, the real-time compression and error correction equipment of seismic data in the seismic monitoring center performs inverse processing to realize the error correction function and outputs the seismic data in 24-digit format to the computer. This paper describes the working principle, hardware structure and main functions of the instrument.
A force grey wolf optimizer algorithm for unmanned aerial vehicle trajectory planning

A force grey wolf optimization (FGWO) algorithm is proposed in this paper. The FGWO algorithm is used to deal with the local optimum and premature convergence problems in unmanned aerial vehicle (UAV) trajectory planning. Firstly, the mathematical model of environmental trajectory planning is built, and the weighting of both track distance and threat constraint is used as the cost function. Secondly, a nonlinear convergence factor is introduced to balance the global exploration and local exploitation capability of the GWO algorithm. In addition, a new search mechanism is introduced in the late iteration by weighting to enhance the merit-seeking ability. Finally, the levy-flight and greedy strategies are applied to make the algorithm avoid local optimality and thus obtain optimal solutions. The results of simulation show that the proposed FGWO algorithm can get better results in function testing and trajectory planning.
PEMANFAATAN CHROMEBOOK DALAM PEMBELAJARAN IPAS DI SEKOLAH DASAR NEGERI 18 SUNGAI KAKAP

The success of Indonesia's education digitization program is highly dependent on the readiness of three aspects that can at least be said to be good enough in responding to digital-based education namely, regulators, teachers or teachers, and students. With the government assistance program in the form of ICT equipment for elementary schools in the form of chromebooks, it is hoped that digitalization-based learning can be realized. Sungai Kakap 18 Public Elementary School is a driving school that has received chromebook assistance from the Ministry of Education and Culture. The purpose of this study was to analyze the implementation of learning by utilizing chromebooks in class IV SD Negeri 18 Sungai Kakap. This type of research used qualitative research. The data source for this research is a person, namely the homeroom teacher. The data collection technique used is technical triangulation, with data collection tools used interviews and observation sheets. Qualitative data analysis is inductive in nature including data reduction, data presentation, conclusion/verification). Based on the results of the studies that have been carried out, it can be interpreted that 1) the teacher has utilized most of the existing applications in the cromebook cromebook in science learning in grade 4; 2) The interaction between students and teachers has a high intensity when compared to the learning process which is carried out without using chromebook media; 3) The use of digital cromebook media in social studies learning shows that it is quite adequate in most of the applications commonly used in learning activities; 4) Student responses to the features of the Chromebook used during science teaching and learning activities in class; for them it is very pleasant, the more excited; learning using chromebooks makes it easier for them to understand learning and easily find learning material or resources; and 5) Students don't feel the need to carry a lot of books every day to attend lessons at school.
DAMPAK GAME ONLINE PADA INTERAKSI SOSIAL PESERTA DIDIK SEKOLAH DASAR

This research is motivated by student interest in online games to the extent that students are more likely to play online games than interact with friends. The research is aims to describe the impact of online games on social interaction. The method conducted by descriptive analysis the design is case study research. The data collection technique uses interviews, observation, and documentation. The data analysis technique used is the Miles and Huberman Model data analysis technique, namely: data collection, data reduction, data display, and conclusion. The results of this study indicate that: First, the positive impact of online games on students' social interactions, namely being able to improve English skills, getting to know new technology from a game, and interacting with many friends in the game even though virtually. Second, the negative impact of online games on students' social interactions, namely, they tend to play online games rather than interact with their peers, become lazy to study, like to be individualists, or be alone in their rooms playing online games. Third, students' social interactions as an impact of playing online games, namely games cause forgetting of time, students or children tend to choose to play games over other activities, feel limited friends, social interactions become worse by playing games (angry, toxic), become empathetic towards friends playing online games. Second is the negative impact of online games on students' social interactions, namely social changes. Third, students' social interactions as an impact of online games, namely students or children, tend to choose to play games over other activities.
PENGEMBANGAN MEDIA AUDIO VISUAL MELALUI APLIKASI CARTOON STORY MAKER UNTUK MENINGKATKAN KETERAMPILAN BERBICARA DI KELAS V SEKOLAH DASAR

Most students are not confident in the learning process because students are less interested in speaking activities, when doing speaking exercises students look tense, this situation results in students not being used to speaking and the language used is still lacking, so the conversation is still stuttering the process of speaking skills applied by the teacher is still not attractive, thereby reducing the interest and enthusiasm of students. The purpose of this study was to determine the improvement of students' speaking skills in class V. The method used by this researcher was Research and Development (R&amp;D) with procedures the research refers to the 4D model by Thiagarajan which consists of 4 stages, namely define, design, develop, and disseminate. The data collection is in the form of tests, observations, interviews, questionnaires, documentation, observation sheets, research instruments. The data analysis technique is validation questionnaire analysis and user response, pre-test, post-test, and indicators of success. The results of this study indicate that audio-visual media through the Cartoon Story Maker application is very feasible to improve the speaking skills of grade 5 students. This is evidenced by the validation results from two media experts with a percentage of 85.8% in the category "Very Eligible", two linguists with the percentage of 87.2% is in the category of "Very Eligible", two material experts with a percentage of 80.9% are in the category of "Very Eligible". The response of students' reading interest to audio-visual media through the Cartoon Story Maker application in a trial with 20 respondents was 82.9% in the "Very Good" category.
Supporting Schizophrenia PatiEnts’ Care wiTh Robotics and Artificial Intelligence

People with schizophrenia generally have different speech disorders, such as tangentiality, dissociation of thought, or perseveration. These disorders can be classified using the Thought and Language Disorder (TALD) scale, which measures the intensity of the different disorders based on the presence of particular characteristics of the speech. At present, the current practice to measure speech disorders through the TALD scale involves specialized clinicians who administer specific interviews to assess the degree of TALD’s sub-scales with no technological support. Conducting the interviews is a very time consuming activity and an automatic support for the interview administration and the identification of the language disorders may be useful. In this paper, we propose an approach named RoboTald in which a robot is adopted for formulating questions to patients by following the TALD guidelines and to record their answers. The audio files are then automatically transcripted and inputted to a deep-learning-based system aiming at assessing the speech disorders basing on the TALD classification. Faced with the need to improve and speed up the classification and quantification of disorders we adopt NLP models for analyzing the speech characteristics. In particular, the robot dialogues with the patient and collects her speech. Starting from the transcription of patient’s speech, TALD Item measurements are computed by Transformer models, able to recognize the semantic meaning of sentences and to understand the similarity between two inputs using the “Cosine Similarity” technique. This technique identifies the semantic distance between two inputs based on the features extracted from the text provided to the Transformer. The distances are then used to evaluate the elements of the scale by analyzing how far the various sentences deviate from the initial question or how far apart they are from each other. In this preliminary work we focus our attention on two elements of the TALD scale: Tangentiality and Derailment.
Alpha Local Difference Loss Function for Deep Image Matting

In recent years, deep learning-based matting methods have received increasing attention due to their superior performance. The design of the loss function plays a important role in the performance of matting models. Existing loss functions train the network by supervising it to learn specific value, gradient, and detailed information of the ground-truth alpha matte. However, these loss functions only supervise network learning based on the value of alpha matte, and the matting network may not fully understand the uniqueness of the matting task. We introduce a loss function which supervises image features. On one hand, it effectively extracts useful information from the ground-truth alpha. On the other hand, this loss function combines the mathematical model of matting, which constrains the image features to satisfy local differences. Multiple experiments have shown that our loss function enhances the generalization ability of matting networks.
Strategies for improving information literacy of secondary vocational teachers

In the background of current information education, information literacy has become an important factor affecting teachers&#39; teaching effect. It is necessary to cultivate the information literacy of secondary vocational teachers: First, it is the requirement of the development of students in the new era; Second, the requirements of the development of educational ideas; the third is the realistic requirement of the development of secondary vocational teachers themselves. However, many secondary vocational teachers&#39; information literacy is not high, which is embodied in information application, information awareness, school level and teaching resources. Vocational education bears the responsibility of providing talents for the society. Therefore, teachers&#39; information application ability can be improved by using multiple strategies. Renew the idea, cultivate the teacher&#39;s information consciousness; optimize the school information resources and environment; Establish teaching resource database, carry out inter-school cooperation to strengthen the training of information literacy of secondary vocational teachers, and improve their cognition of information technology and digital teaching.
Natural &amp; Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network

Bokeh effect is a natural shallow depth-of-field phenomenon that blurs the out-of-focus part in photography. In recent years, a series of works have proposed automatic and realistic bokeh rendering methods for artistic and aesthetic purposes. They usually employ cutting-edge data-driven deep generative networks with complex training strategies and network architectures. However, these works neglect that the bokeh effect, as a real phenomenon, can inevitably affect the subsequent visual intelligent tasks like recognition, and their data-driven nature prevents them from studying the influence of bokeh-related physical parameters (i.e., depth-of-the-field) on the intelligent tasks. To fill this gap, we study a totally new problem, i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">natural &amp; adversarial bokeh rendering</i> , which consists of two objectives: rendering realistic and natural bokeh and fooling the visual perception models (i.e., bokeh-based adversarial attack). To this end, beyond the pure data-driven solution, we propose a hybrid alternative by taking the respective advantages of data-driven and physical-aware methods. Specifically, we propose the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">circle-of-confusion predictive network (CoCNet)</i> by taking the all-in-focus image and depth image as inputs to estimate circle-of-confusion parameters for each pixel, which are employed to render the final image through a well-known physical model of bokeh. With the hybrid solution, our method could achieve more realistic rendering results with the naive training strategy and a much lighter network. Moreover, we propose the adversarial bokeh attack by fixing the CoCNet while optimizing the depth map w.r.t. the visual perception tasks. Then, we are able to study the vulnerability of deep neural networks according to the depth variations in the real world. The extensive experiments show that our method produces more realistic bokeh than the state-of-the-art methods while fooling the powerful deep neural networks with a high accuracy drop.
Federated Noisy Client Learning

Federated learning (FL) collaboratively trains a shared global model depending on multiple local clients, while keeping the training data decentralized to preserve data privacy. However, standard FL methods ignore the noisy client issue, which may harm the overall performance of the shared model. We first investigate the critical issue caused by noisy clients in FL and quantify the negative impact of the noisy clients in terms of the representations learned by different layers. We have the following two key observations: 1) the noisy clients can severely impact the convergence and performance of the global model in FL and 2) the noisy clients can induce greater bias in the deeper layers than the former layers of the global model. Based on the above observations, we propose federated noisy client learning (Fed-NCL), a framework that conducts robust FL with noisy clients. Specifically, Fed-NCL first identifies the noisy clients through well estimating the data quality and model divergence. Then robust layerwise aggregation is proposed to adaptively aggregate the local models of each client to deal with the data heterogeneity caused by the noisy clients. We further perform label correction on the noisy clients to improve the generalization of the global model. Experimental results on various datasets demonstrate that our algorithm boosts the performances of different state-of-the-art systems with noisy clients. Our code is available at https://github.com/TKH666/Fed-NCL.
The importance of information security for organizations

Information security is a key aspect of organizations' operations in today's digital age. This paper aims to analyze the importance of information security for organizations, investigating its impact on preserving the integrity, confidentiality and availability of data. Organizations are increasingly faced with complex challenges in explaining cyber threats, which emphasizes the necessity of implementing effective information security strategies. Effective data protection is the key to maintaining the trust of clients and partners, reducing financial losses and preserving the organization's reputation. In addition, information security has a significant impact on maintaining a competitive advantage, allowing organizations to innovate without fear of data loss or privacy breaches. A secure infrastructure also provides a foundation for compliance with regulatory requirements, thereby reducing the risk of legal consequences. Considering the rapid development of technology and increasingly sophisticated cyber threats, organizations face the constant challenge of adapting their security strategies. Employee education is becoming a key component of the overall information security system, and organizations that invest resources in training and security awareness have a better ability to respond to potential threats. Information security is becoming a necessary pillar of modern business, protecting organizations from cyber risk, enhancing their reputation and providing the foundation for long-term success.