Reviewerly/exHarmony huggingface dataset:
Integration of Higher Education Institutions to Address the Challenges of Regional Socio-Economic Development

Recently, the topic of regional development has become particularly relevant since regions are gaining more and more autonomy in solving their socio-economic issues. This transformation results in the concern of how to find potential partners for building a regional development strategy, sharing resources and competencies. In this context, it is advisable to consider universities as a significant potential partner. In particular, it is necessary to analyse their role and capabilities in creating a regional strategy, the most relevant forms of interaction, and indicators for assessing the effectiveness of the universities’ integration to address the challenges of regional development. We applied the expert interview method and discussed the problem with representatives of 28 Russian universities who occupy top managerial positions and have an expert opinion on key issues. Based on the analysis of empirical material, we identified three main roles of universities in regional development: a project initiator, a partner, and a source of human and analytical resources. During the resource assessment, we determined that funding is the only scarce resource for universities, while all other resources and competencies can be quickly mobilised if necessary. The most effective mechanisms for integrating universities to address regional challenges are a consortium of universities and the organisation of project offices with the participation of government and business representatives. The main research result was the identification of quantitative and qualitative criteria characterising the universities’ involvement in solving socio-economic issues of regional development, as well as indicators, which are necessary for their definition. Additionally, we discovered a previously unidentified information and administration group among the quantitative criteria and defined the main stages of assessing the effectiveness of such integration. In regards to the considered issue, a promising direction for further research would be a comparative analysis of the effectiveness of the universities’ integration to address social and economic challenges in different regions of the Russian Federation.
Cross-Layer Energy Optimization for IoT-Enabled Smart Spaces

Perpetual IoT systems are essential to many safety and mission-critical applications, e.g. assisted living, healthcare and public safety, which are characterized by continuous monitoring (24/7) and ubiquitous sensing. While IoT-enabled many applications and services, several limitations arise in operating IoT deployments in a resilient manner over time; challenges include the energy cost and constraints. In our research, we aim to handle energy challenges caused by perpetual operations in each level of the system architecture (device, communication, and processing). We use a semantic approach that utilizes context of extracted activities of daily living (ADLs) and indoor space-state (normal, anomaly, and emergency) to drive energy optimized sensor activations. In addition, we are uniquely leveraging features such as: heterogeneity of IoT devices (wearable, ambient, and vision) in terms of: energy cost, energy source (battery-operated and wall-powered IoT devices), processing capability, mobility, communication technologies and transmission protocol (NB-IoT, LTE-M, LoRa, Wi-Fi, 4G/5G, Bluetooth, Zigbee, etc.), processing location (device, edge, could). To validate our approach, we developed an elderly fall detection system using multi-personal and in-situ sensing IoT devices derived from real-world deployments; using our measurements to drive larger simulations. We show that our proposed algorithms such as, Cost-Function-Gradient can achieve greater than 4X reductions in energy dissipation and doubling system-lifetime without loss of sensing accuracy.
Multiple Change-points Test Based on Heteroscedasticity and Its Application in Subway Passenger Flow

Abstract A class of heteroscedastic multiple change-points test method (H-SMUCE) is introduced to test the mean change-point of subway passenger flow data. And the Algorithm steps is proposed. In this paper, since the passenger flow data obeys the normal distribution, this test method has a high accuracy rate. Simulation shows that the accuracy is over 90%. This algorithm for change-points test is applied to the passenger flow of 28 stations in Shanghai Metro Line 1, the positions and times of the change-points are measured, and the law of the change in average passenger flow is analyzed.
audiomate: A Python package for working with audio datasets

Machine learning tasks in the audio domain frequently require large datasets with training data.Over the last years, numerous datasets have been made available for various purposes, for example, (Snyder, Chen, & Povey, 2015) and (Ardila et al., 2019).Unfortunately, most of the datasets are stored in widely differing formats.As a consequence, machine learning practitioners have to convert datasets into other formats before they can be used or combined.Furthermore, common tasks like reading, partitioning, or shuffling of datasets have to be developed over and over again for each format and require intimate knowledge of the formats.We purpose Audiomate, a Python toolkit, to solve this problem.Audiomate provides a uniform programming interface to work with numerous datasets.Knowledge about the structure or on-disk format of the datasets is not necessary.Audiomate facilitates and simplifies a wide range of tasks:
The Connexus of Management by Objectives and Organisational Performance: Evidence from Tuyil Pharmaceutical Limited, Ilorin

In modern conditions, the competitiveness of enterprises largely depends on the ability of management to ensure the necessary economic efficiency of operational activities, achieving strategic and tactical goals, rational use of labor, financial and material resources, which determines the relevance of research on innovative approaches to management “my goals”. The article substantiates that this concept is focused on increasing productivity through clear guidelines for each employee of the organization and increase staff motivation through its participation in setting their own goals. The main purpose of the study is to examine the relationship between the practical use of the method of “goal management” in the company and its organizational effectiveness. The object of the study was selected pharmaceutical company “Tuyil” (Ilorin, Nigeria) and its staff with a representative sample of 242 people. The source of the primary information in this study was the results of a survey of company employees. The analysis of the survey results was performed using the methods of descriptive statistics and analysis of variance (ANOVA). It is empirically confirmed and theoretically proved that the practical application of the principles of “goal management” is closely correlated with the efficiency of the company. The results of the study provide recommendations for improving the system of “goal management” in the company, namely: the creation of favorable internal relations among employees, which would guarantee their commitment and loyalty to the organizational goals and objectives of the company; Establishing feedback, which involves constant monitoring of the achievement of goals and determining their progress in the implementation of specific tasks, as well as bringing to the management of those unplanned problems that arise in the process of achieving goals. Keywords: goal commitment, performance feedback, task complexity, organization, Nigeria.
ARTISTIC INTEGRATIVE TECHNOLOGIES IN POLYART EDUCATION

Тhe article deals with the modernization of higher pedagogical education, the introduction of innovative approaches, the development of artistic integrative technologies, changes in the classical forms of teaching future teachers. It has been established that poly-artistic education is a poly-artistic upbringing and development, a poly-artistic approach to the implementation of the educational process. Polyart education is based on the universal possibilities of art, its multifunctional nature. The concept of of the arts in poly-art education is analyzed.The characteristic levels and types of integration. The features of integration as an innovative educational technology are considered. The explication of integrative art technologies developed on the basis of immersion in the artistic heritage, live communication with works of art, dialogue with the museum subject is presented. The quest is considered as an integrative game art-pedagogical technology, interesting for children and adults. It has been proven that the development of quest art integrative technologies makes it possible to successfully use the possibilities and advantages of computer audio-visual technologies in educational work with students and young people; motivates to obtain new artistic knowledge, improve performing skills, creative search, self-improvement and self-realization. A number of special programs for creating web quests, animation, video presentations, phonogram writing, working with a microphone have been described. Further research requires studying the experience of introducing integrative art technologies in the educational process of secondary and higher schools in Europe, Asia, America, improving the mechanisms of poly-artistic integrative impact on different age categories of students and young people, developing integrative art technologies for poly-artistic education of children of preschool and primary school age.
Evaluasi Kebijakan Penanggulangan Bencana (Studi Pada BPBD Kabupaten Kediri)

Kediri Regency is one of the regions in the province of East Java with various potential natural disasters except tsunami. Some potential natural disasters in Kediri Regency are volcanic eruptions, floods, landslides, nipples, earthquakes. Referring to the IRB (Disaster Risk Index) released by BNPB in 2013, shows that Kediri regency is included in one of the administrative areas in East Java that has a high disaster index. The policy on disaster relief in Kediri Regency has been arranged in regional regulation No. 2 year 2015 which governs the Organization and administration of BPBD (Regional disaster management Agency). The policy has been running for almost 5 years, therefore seeing the various potential disasters owned by Kediri district, researchers want to examine the extent to which the policy has been implemented and observe about readiness in the face of various potential future threats in the future. The findings in the field indicate that in implementing a disaster policy there are currently some indicators in the evaluation (Dunn, 1999) that has not been achieved optimally.
RUSSIAN EDUCATION IN THE CONTEXT OF GLOBAL INFORMATIZATION AND DIGITALIZATION: SOCIO-PHILOSOPHICAL DISCOURSE

This article actualizes the most vivid and contradictory consequences of the transition of modern Russian society to the information age. In the education system, these contradictions are most pronounced. Researchers' opinions on this subject are represented by various positions ranging from recognizing the clear advantages of the influence of information processes on the educational space to actualizing the negative aspects of this influence. At the same time, there was a joint understanding that the processes of informatization and digitalization are natural and inevitable in the field of education. Accordingly, it is necessary to adapt to them, developing optimal strategies for the transition of the Russian education system to a new functioning format, taking into account new information technologies that are quite actively used in the educational environment. A special role of social and philosophical science in comprehending the trends of informatization and digitalization of education is the threat of destroying the value-semantic basis of the culture of education in Russia. Signs of destructive processes are already clearly fixed in the educational space of Russian society, which puts the potential of socio-philosophical reflection of the risks and threats of the modern information society in a priority position.
Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center

Data in a data center are stored dispersively. The data-oriented task computing disperses big data analysis tasks to different computing nodes. The extensive use of graphics processing unit (GPU) makes it urgent and important to study how to reasonably assign heterogeneous resources to different computing frameworks. We investigate the existing big data computing framework and the GPU computing. Based on the existing cluster resource management model and the GPU management model, we propose a hybrid heterogeneous resource management model that combines CPU resources with GPU resources. The computing nodes manage local resources and implement tasks; the resource management center concertedly manage various computing frameworks. We design and implement a hybrid domain resource sharing and allocation algorithm, which allocates the hybrid domain resources to computing frameworks according to the coordinated use of them so as to fairly share the hybrid domain resources among various computing frameworks and prevent the CPU from too many tasks but the GPU or CPU from resource "hunger". The experimental results show that the allocation algorithm can increase the use of heterogeneous resources and the number of completed tasks by around 15%.
Rancangan dan Pengujian Perangkat Lunak Menggunakan Web Service pada Sistem Informasi Akademik

The author conducted a study of the need to process and integrate data at High School with systems that already exist so that these systems can communicate unhindered difference platform and programming language used. Therefore, the author makes an Academic Information System software Using Web Services in order to connect the Academic Information System with the Financial Administration Information System. Forms of research by the author is the study of literature with data collection techniques of observation, interviews, and documentation. The method used is a Research and Development (R &amp; D), whereas software design methods using Extreme Programming (XP) by implementing 4 practical way XP development, i.e, planning, design, coding, and testing. The results of this in the form of software design Academic Information Systems, Information Systems of Financial Administration, and Web Service. Academic Information System software using Sublime Text 2 application with PHP programming language, software Financial Administration Information System platform using Visual Studio 2012 with Visual Basic.NET programming language and web services created using ASP.NET Web Form Application with the programming language Visual Basic.NET and publish it by using the Internet Information Services (IIS) version 7.5.
Fuzzy Image Processing Based Architecture for Contrast Enhancement in Diabetic Retinopathy Images

Diabetic retinopathy” is damage to retina denotes one of the problems of diabetes which is a significant reason for visual infirmity and blindness. A comprehensive and routine eye check is important to early detection and rapid treatment. This study proposes a hardware system that can enhance the contrast in the diabetic retinopathy eye fundus images as a first step in different eye disease diagnoses. The fuzzy histogram equalization technique is proposed to increases the local contrast of Diabetic Retinopathy Images. First, a histogram construction hardware architecture for different image processing purposes has been built then modified with fuzzy techniques to create fuzzy histogram equalization architecture, which is used to enhance the original images. Both architectures are designed using a finite-state machine (FSM) technique and programmed with VHDL programming language. The first one is implemented using two (Spartan 3E-XC3S500 and Xilinx Artix-7 XC7A100T) kits, while the second architecture is implemented using (Spartan 3E-XC3S500) kit. The system consists also of a modified video graphics array (VGA) port to display the input and resulted images with a proper resolution. All the hardware outputs are compared to that results produce from MatLab for verification and the resulted images are tested by PSNR, MSE, ENTROPY ,and AMBE
Automatic Detection of Phonological Errors in Child Speech Using Siamese Recurrent Autoencoder

Speech sound disorder (SSD) refers to the developmental disorder in which children encounter persistent difficulties in correctly pronouncing words. Assessment of SSD has been relying largely on trained speech and language pathologists (SLPs). With the increasing demand for and long-lasting shortage of SLPs, automated assessment of speech disorder becomes a highly desirable approach to assisting clinical work. This paper describes a study on automatic detection of phonological errors in Cantonese speech of kindergarten children, based on a newly collected large speech corpus. The proposed approach to speech error detection involves the use of a Siamese recurrent autoencoder, which is trained to learn the similarity and discrepancy between phone segments in the embedding space. Training of the model requires only speech data from typically developing (TD) children. To distinguish disordered speech from typical one, cosine distance between the embeddings of the test segment and the reference segment is computed. Different model architectures and training strategies are experimented. Results on detecting the 6 most common consonant errors demonstrate satisfactory performance of the proposed model, with the average precision value from 0.82 to 0.93.
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

Multispectral pedestrian detection is capable of adapting to insufficient illumination conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in-depth insights on how to fuse the two modalities effectively. Compared with traditional pedestrian detection, we find multispectral pedestrian detection suffers from modality imbalance problems which will hinder the optimization process of dual-modality network and depress the performance of detector. Inspired by this observation, we propose Modality Balance Network (MBNet) which facilitates the optimization process in a much more flexible and balanced manner. Firstly, we design a novel Differential Modality Aware Fusion (DMAF) module to make the two modalities complement each other. Secondly, an illumination aware feature alignment module selects complementary features according to the illumination conditions and aligns the two modality features adaptively. Extensive experimental results demonstrate MBNet outperforms the state-of-the-arts on both the challenging KAIST and CVC-14 multispectral pedestrian datasets in terms of the accuracy and the computational efficiency. Code is available at https://github.com/CalayZhou/MBNet.
SIX THINKING HATS STRATEGY TO THE EIGHTH GRADE STUDENTS OF PGRI JUNIOR HIGH SCHOOL 9 OF PALEMBANG

The problem of this study was â€œWas it effective to use Six Thinking Hats Strategy in teaching reading narrative text to the eighth grade students of PGRI Junior High School 9 of Palembang?â€ The aim of this study was to find out whether or not it was effective to use Six Thinking Hats strategy in teaching reading narrative text to the eighth grade students of PGRI Junior High School 9 of Palembang.The population was the eighth grade students of PGRI Junior High School 9 of Palembang in academic year of 2018/2019. The sample was 36 students who were chosen by cluster random sampling. This study employed Pre- experimental design with the one-group pretest-posttest design. The data were collected through written test in form of Multiple choice which implemented in pre-test and post-test. The data were analyzed by using matched t-test formula.The result of the study is found that the studentsâ€™ average score in theÂ Â Â Â Â Â Â Â pre-test was 47,57 and the studentsâ€™ average score in the post-test was 73,68. Based on the matched t-test calculation, it was found that the t-obtained was 4,854. The critical value of 5% significance level was 1.690. It showed that theÂ Â Â Â Â t-obtained was higher than the t-table. From this study it was found that teaching reading narrative text by using Six Thinking Hats strategy to the eighth grade students of PGRI Junior High School 9 of Palembang was effective.
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression

Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the background with a learned regressor which regresses the implicit circulated samples into a fixed target label. However, the predefined and unchanged regression target results in low robustness and adaptivity to uncertain aerial tracking scenarios. In this work, we exploit the local maximum points of the response map generated in the detection phase to automatically locate current distractors. By repressing the response of distractors in the regressor learning, we can dynamically and adaptively alter our regression target to leverage the tracking robustness as well as adaptivity. Substantial experiments conducted on three challenging UAV benchmarks demonstrate both excellent performance and extraordinary speed (~50fps on a cheap CPU) of our tracker.
Efektivitas Sistem E-learning Quipper School Pada Mata Pelajaran Bahasa Arab Kelas X MA Ihyaul Ulum Gresik

This is aim to find out the effect of the E-learning system using quipper school on readingcomprehension of the Arabic text. The problems of this study are: 1) Is there any effect of E-learn system using quipper school on reading comprehension of the Arabic text. 2) how students’ respoafter given reading comprehension material by E-learning system using Quipper School. achieve the research objectives, the writer used quantitative research methods with experimental design. The research subjects of this study were students of the tenth grade of Mipa 1 a2 in MA Ihyaul Ulum Gresik. The population is 60 students, each class is 30 students. The instruments used were tests and questionnaires. Data from statistical analysis tests using at-testing the significance of the difference in averages of the pre-test and post-test. The questionnaire was analyzed using a Likert scale and percentage formula. Based on these results, it shows that the t-test obtained 4.40. This value is higher than the t-table value, with a significance value of 0.052.00 for df 58. While the results of student responses are 80.1%. So, it can be concluded that the learning system using quipper schools on reading comprehension of Arabic text in MA Ihyaul UlGresik was successful. The results of this study were expected to use the E-learning system us quipper school to help students and teachers more easily during reading comprehension of the Aratext learning process.