Reviewerly/exHarmony huggingface dataset:
Implementation of The K-Nearest Neighbor Method to Determine The Quality of Export Import Swallow's Nest

In this study discusses the quality of the feasibility of swallow's nests that are suitable for export, Based on the problem from the research, it discusses how to select export-worthy swallow's nests in order to maintain the confidence of buying from abroad. The method used in this research is the K-NN method which can determine the feasibility of applying for the rank of lecturer. The data that is processed is 100, the input criteria for bowl 4, broken 2, destroyed a 2, destroyed b 2. This system succeeded in displaying appropriate and inappropriate results for lecturer data that had been input into the data set.
ALAN-P: Dynamic action pruning for efficient navigation in complex environments

Multi-agent navigation consists on efficiently moving a set of agents from start to goal locations. This is a challenging task since most environments contain static and dynamic obstacles that can significantly restrict the movement of an agent. While existing methods, such as ALAN, can overcome some of these limitations by increasing the action space of the agents, their behavior can be suboptimal in many of the situations that agents can find themselves into. In this work, we propose ALAN-P, a multi agent local navigation method based on the ALAN framework, which improves the agent's behavior by dynamically adapting the action space to the agent's local conditions. The results of our experiments show that the proposed ALAN-P can lead to significant performance improvements over ALAN in a variety of challenging environments.
Project based training as the implementation of the real-practical world – a new vector of development

The article discusses issues related to project activities and project training at the university; the answer to the question is given: why the implementation of a project is difficult, but interesting.
Effect of Chinese students" sports activities on stress coping style and anxiety

The purpose of this study was to investigate the influence of Chinese students" participation in sports activities on stress coping style and anxiety. The participants were 458 Chinese students studying in H University. The collected data were processed using SPSS 26.0 version statistical program for frequency analysis, reliability analysis, exploratory factor analysis, T-test, ANOVA, post-hoc test and multiple regression analysis, and could get the result as follows: First, according to its demographic characteristics, the stress coping style of Chinese international students differed significantly in gender and grade, while anxiety did not show significant differences. Second, Chinese students who participated in sports activities had higher average scores for stress coping style and lower average scores for anxiety than students who do not participate in sports activities. Third, there is a positive correlation between the degree of participation in sports activities and stress coping style, and a negative correlation between it and anxiety. Fourth, stress coping style and anxiety was influenced by participation in sports activities as follows: participation frequency had significant influence on problem-focused coping and seeking social support coping, as well as state anxiety and trait anxiety, and participation period did so on wishful thinking coping and emotion-focused coping could newly be inserted into it.
Prospects for Future Images: Advances in Media, Technology, and Industry

The world is paying attention to the development of artificial intelligence. The current trend shows that artificial intelligence technology is rapidly promoting development, and as a result, future images based on the production and development of intelligent media technologies have begun to be emphasized. It is possible to summarize the development of future images in three aspects: technological progress, user experience, and industrial promotion. In particular, it is expected that visual technology represented by virtual reality (VR) will lead to the era of “intelligent images” through various functions. Forms such as 3D images, VR images, augmented reality images, holographic images, and so on will gradually bridge the gap between the virtual world and the real one. As a result, the development of intelligent media will serve as an opportunity for it to evolve to the next level, and it is expected to determine the direction of future media development.
Deep learning approach to identify abnormalities in blood cell images

Blood cell imaging provides crucial diagnostic information about a person's atypical problems. Due to their multi-level structures, Deep Learning models aid in extracting complicated insights from input images. The power of automatic feature extraction makes Convolutional Neural Networks (CNN) the most widely used deep learning approach for blood cell categorization. Blood cells are classified using a recurrent neural network (RNN), which captures long-term relationships between elements. The possibility of CNN-RNN-based models for blood cell image classification is investigated in this work. The results prove that CNN-LSTM based model outperforms in classifying the blood cell images with an accuracy of 92.1%.
Survey on optimization algorithms in speech processing

Nature is a tremendous provenance of resolving hard and complex problems that exist in the field of computer science because it reveals a very diverse, robust, dynamic, and interesting phenomenon. It constantly finds the optimal solution to resolve its problem which accomplishes exact equity among its element. Nature-inspired algorithms are the heuristic high-level procedure that interprets nature to solve the optimization problem which popularized in the new era of computation. The main objective of this paper is to evaluate the modern technology and enhancement in the nature-inspired algorithm, especially in the application of speech processing, speech recognition, and speech feature selection problems. This paper presents broad collections of global optimization algorithms which have been successfully applied to generate recognition systems that are integrated with metaheuristic algorithms.
INDONESIAN LANGUAGE ABILITY IN EARLY CHILDREN IN INSAN KAMIL KINDERGARTEN

This study aims to 1) describe the types of violations of the maxims of early childhood, 2) identify the differences in the violations of maxims of early childhood, and 3) identify the causes of violations of the maxims of early childhood.The research method used is descriptive analytical.Sources of data were obtained from research informants, namely early age speakers consisting of children aged 4 and 5 years who attended Insan Kamil Kindergarten.A sample of 20 conversational data from early childhood was selected using purposive sampling techniq ue.The data was collected using the conversational listening method.Data were analyzed descriptively using Grice's cooperative theory.The results showed that children aged 4 years violated four types of maxims including; maxim of quantity, quality, relevance, and manner.Meanwhile, children aged 5 years violate three types of maxims, including; maxims of qualitative, quantitative, and relevance.Violations of maxims committed by early childhood are caused by inadequate knowledge and the environment they are in.
DWUPP: Dynamic Weight Update through Pipelined Parallel for Distributed Training Model

The pipeline system is available to process multiple training batches simultaneously, thereby allowing forward and backward propagation tasks for each batch to be performed across multi-time units on multi-compute nodes. Different versions of weights were used for calculation throughout the process. However, the weight obsolescence may lead to the instability of model training and the loss of precision. Considering the complexity of the solution to the problem of pipeline parallel model convergence in weight obsolescence, we proposed the dynamic weight update through pipelined parallel for distributed training model (DWUPP) according to the version differences. Based on asynchronous pipeline parallel training, we studied a more accurate weight prediction method to improve the accuracy of the model, and ensure the effectiveness of model training. It can be seen from the experimental results that, compared with the PipeDream method, the accuracy of DWUPP method is increased by 0.27% on average in the verification set, which is superior to that of the other three pipeline parallel training methods. Due to the computational complexity of the weight prediction method, the throughput of the method is slightly lower than that of the PipeDream method and SpecTrain method, but higher than that of the XPipe method. It can effectively accelerate the model training process.
Development Of E-Research Information System To Support Research Management (Case Study of Wastukancana University)

E-research management is an implementation mechanism of information and communication technologies on the research management so that the research runs effectively and efficiently. E-research STT Wastukancana is an information system for submission of a thesis title and undergraduate internship but there are still many incomplete features, so it needs system development so the system can run well. Therefore author does the development system of e-research STT Wastukancana Web-Based so that admin, students, and lecturers can carry out business processes well on online system mode. The result of this research is an information system that can help out and ease users in doing business processes and information around e-research STT Wastukancana
The Analysis of Small and Medium Industries (SMIS) of Fishery Products Processing

Small and Medium Industries (SMIs) represent economy activator that being based on local wisdom which manage natural and human resource.The city of Probolinggo as one of the cities in East Java province has marine and fishery potential is extraordinary.This study aims to improve knowledge, and understanding related to the position and segmentation of SMIs processing of fishery products.The research also seeks to provide knowledge of the concept of good and mutually beneficial partnerships, providing knowledge of partnership patterns with large industries.The results showed that partnerships conducted by SMIs with large industry include several aspects, namely economic aspects, socio-cultural aspects, aspects of technology, and management aspects.The perpetrators of SMIs processing of fishery products are expected to develop themselves through partnerships with large businesses following the core plasma partnership pattern.This is because the core plasma partnership pattern resulted in big business and SMIs growing and developing together.The study also found that in exploring partnerships with large businesses networking is needed with stakeholders from both upstream and downstream sides.
VQEG column: VQEG meeting Dec. 2020 (virtual/online)

Welcome to the third column on the ACM SIGMM Records from the Video Quality Experts Group (VQEG). The last VQEG plenary meeting took place online from 14 to 18 December. Given the current circumstances, it was organized all online for the second time, with multiple sessions distributed over five to six hours each day allowing remote participation of people from different time zones. About 130 participants from 24 different countries registered to the meeting and could attend the several presentations and discussions that took place in all working groups. This column provides an overview of this meeting, while all the information, minutes, files (including the presented slides), and video recordings from the meeting are available online in the VQEG meeting website. As highlights of interest for the SIGMM community, apart from several interesting presentations of state-of-the-art works, relevant contributions to ITU recommendations related to multimedia quality assessment were reported from various groups (e.g., on adaptive bitrate streaming services, on subjective quality assessment of 360-degree videos, on statistical analysis of quality assessments, on gaming applications, etc.), the new group on quality assessment for health applications was launched, and an interesting session on 5G use cases took place, as well as a workshop dedicated to user testing during Covid-19. In addition, new efforts have been launched related to the research on quality metrics for live media streaming applications, and to provide guidelines on implementing objective video quality metrics (ahead of PSNR) to the video compression community. We encourage those readers interested in any of the activities going on in the working groups to check their websites and subscribe to the corresponding reflectors, to follow them and get involved.
Analysis of the pedagogical product in the context of the phenomenon of information visualization

This article actualizes the aspects of the problems of using visual content in a pedagogical product. Several results of research on the visual content of contemporary pedagogical products placed on the Internet are presented. The visual content assessment model based on three filters is proposed. According to the physical filter the visual elements composition must satisfy the capacity of the pupil&amp;apos;s visual channel. The semantic filter determines the accordance of visual content to his knowledge level. A pragmatic filter should evaluate the image in terms of its usefulness for a certain educational process subject, its suitability for solving a certain task.
The Impact of Human Capital on Organizational Performance: A Field Study at the Mobile Phone Companies in Yemen

The study aimed at identifying the impact of human capital on organizational performance in four mobile companies in Republic of Yemen (MTN, Yemen Mobile, SabaFon, and Y). The study used the descriptive analytical method to answer the study questions and test the hypotheses. For the purpose of data collection, a questionnaire was developed and distributed to the sample of the study which is 327 employees selected from all the organizational levels. The data were analyzed using simple regression analysis. The findings of the study indicated that there is a significant impact of human capital on organizational performance at mobile phone companies in Yemen. Findings also showed that among human capital dimensions; knowledge was the most influential dimension on organizational performance. In light of the study results, it is recommended to pay great attention to human capital by improving the employees' skills and capabilities through training courses and workshops. The study also recommended engaging the employees in setting the organization’s policies and plans, and considering their suggestions and views which may improve the organization and achieve its goals.&#x0D; Keywords: human capital, organizational performance, mobile phone companies in Yemen.
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition

When a financial institution declines an application for credit, an adverse action (AA) is said to occur. The applicant is then entitled to an explanation for the negative decision. This paper focuses on credit decisions based on a predictive model for probability of default and proposes a methodology for AA explanation. The problem involves identifying the important predictors responsible for the negative decision and is straightforward when the underlying model is additive. However, it becomes non-trivial even for linear models with interactions. We consider models with low-order interactions and develop a simple and intuitive approach based on first principles. We then show how the methodology generalizes to the well-known Shapely decomposition and the recently proposed concept of Baseline Shapley (B-Shap). Unlike other Shapley techniques in the literature for local interpretability of machine learning results, B-Shap is computationally tractable since it involves just function evaluations. An illustrative case study is used to demonstrate the usefulness of the method. The paper also discusses situations with highly correlated predictors and desirable properties of fitted models in the credit-lending context, such as monotonicity and continuity.
Multi-cloud Load Distribution for Three-tier Applications

The rapid advancements in digital technologies have prompted organizations to embrace digital transformations (DTs) in order to enhance efficiency, gain a competitive advantage, and achieve long-term sustainability objectives.However, the successful adoption of innovative digital technologies necessitates the careful consideration of various factors, such as stakeholder engagement, resource allocation, risk mitigation, and the availability of resources and implementation support.This study examines the sustainable adoption of innovative digital technologies (DTs) within digital transformations.The data for this study were collected from 760 stakeholders through a questionnaire survey and analyzed using SPSS software (Version 27).This study's results underscore the significance of considering the efficiency of the transformation process and the long-term sustainability outcomes for organizations.The findings of the analysis clarify that integrating sustainability principles and DT has a positive impact on the effectiveness of the transformation, as indicated by environmental, social, and economic performance indicators.This study's novelty lies in its focus on incorporating sustainability principles into the digital transformation process.The results of this study demonstrate that organizations' long-term sustainability outcomes are enhanced when their digital transformation goals align with the Sustainable Development Goals (SDGs).The purpose of this study emphasizes the importance of arranging digital transformations with sustainable objectives to ensure the overall success and longevity of transformation efforts.
PSYCHOLOGICAL STABILITY AS A FACTOR OF PREVENTION OF BURNOUT OF STUDENTS IN EDUCATIONAL AND PROFESSIONAL ACTIVITIES

ЖАНСҮГІРОВ ТАҒЫЛЫМЫ» Республикалық ғылыми-т жірибелік (онлайн) конференция 03 желтоқсан, 2021 ж.3) Great scientists don't describe their discoveries as _______ as other men do in textbooks.A) rigid B) approximate Summing up our thoughts, we want to say that traditional teaching methods tend to separate teaching certain skills from teaching other skills, such as reading, listening, speaking and writing.The communicative teaching method in contemporary life is the right one.Since linguistic communication in real life cannot include only one activity (listening, speaking, reading or writing and excluding the other three.Communicative language learning plays great importance on comprehensive teaching of listening, speaking, reading and writing.In this regard, the combination of a communicative approach and a traditional teaching method shows that it focuses on a certain skill, but does not ignore the teaching of other skills.
DESSK: Description Space for Soft Keyboards

We present dessk, a description space for soft keyboards. dessk provides a framework for any soft keyboard to be graphically described along four dimensions – context, representation, interaction, and linguistic system – each with multiple criteria. dessk begins with a blank working template which is populated with labels and symbols to characterize the dynamics and interactions of the keyboard. The goal is to provide a framework within which any soft keyboard can be placed and to serve as a theoretical basis to situate soft keyboards in relation to proposed or existing systems.
"Data Rights Are Human Rights"—2019's The Great Hack Documentary Is More Relevant Than Ever

The Great Hack, a 2019 Netflix documentary directed by Karim Amer and Jehane Noujaim, explores issues of data ownership and data privacy through the example of the Cambridge Analytica scandal. The film highlights the power of data and those who control it and makes the case that data has been used to influence behavior toward preferred—or purchased—outcomes. Addressing allegations of interference in the democratic process, The Great Hack makes an effective appeal to categorize data rights as fundamental human rights deserving of explicit protection.
A study on the implementation of online assessments in college English teaching

With the development of information technology, online assessments have been widely adopted in College English. Up to date, the majority of studies pertaining to online assessments have been about assessment environments and invigilating, as well as the benefits deriving from online assessments. However, there is a lack of studies with regards to the candidates’ experience and views on online assessments and the impact of online assessments on their grades. After collecting the data from results of three tests taken by 126 candidates, a questionnaire survey was designed for all of them and 20 relevant candidates were interviewed, it was thus found that online assessments do have a negative impact on the performance and the candidates prefer traditional testing on paper.
RANCANG BANGUN APLIKASI PENGADAAN BARANG DINAS KEBUDAYAAN DAN PARIWISATA KABUPATEN BOGOR BERBASIS WEBSITE

The goods procurement system at the Bogor Regency Culture and Tourism Office is still carried out conventionally so that it is still difficult to find data on goods that have been purchased. The system cannot find out the existence of office goods because the number of goods are not in accordance with procurement, especially regarding to the preparation of reports, namely procurement recapitulation report is not effective. Because of these conditions, it is very necessary to have a procurement application as a work aid in data processing and procurement reports. This research IS conducted to provide alternative solutions by referring to the need of business and employees relationship activities. The expected result is that the application can be used for procurement of goods at the Department of Culture and Tourism based on the website and it can be applied directly to the working field in order to facilitate the effectiveness of performance and minimize the level of errors.
Robust real-time approach of face detection in open places

Identifying and verifying the person entering and leaving a non-public meeting or an organized meeting is important. when the count of individuals increases, or any outsider enters the authorized meeting, people and data security are often endangered. Detecting the people and allowing only the authorized people to attend the meeting is a beneficial task. In this paper, we introduced a robust real-time approach that detects every person in the crowd and consider only the known persons to enter the meeting by comparing with the database of that exact organization.