Reviewerly/exHarmony huggingface dataset:
The Effect of Innovation Constraints and Government Support System on the Innovation Performance of the Logistics Industry

제 4차 산업혁명 시대의 새로운 기술은 물류산업에 기술적 혁신과 새로운 서비스의 도입을 이끌 것으로 예측되어, 국내 물류업의 혁신을 이루기 위한 국가적 차원의 대응이 논의되고 있다. 그러나 물류산업의 혁신 제약이 혁신 성과에 미치는 영향에 대한 논의가 이루어지지 않아, 물류업의 혁신을 촉진하기 위한 방안 마련에 대한 근거가 부족한 실정이다. 이에 본 연구에서는 물류산업의 혁신 제약이 혁신 성과에 미치는 영향을 파악하고, 더불어 혁신 제약과 혁신 성과의 관계에 있어 정부지원제도가 미치는 영향을 분석하였다. 2016년 한국기업혁신조사 데이터를 활용하였으며, 요인분석을 바탕으로 혁신 제약을 자본적 제약과 역량적 제약으로 구분하였다. 정부지원제도로는 조세지원, 자금지원, 금융지원, 인력지원, 기술지원, 인증지원, 구매지원의 총 7가지를 고려하였다. 연구결과 물류기업이 자본적 제약에 직면할수록 높은 혁신 성과를 달성하는 경향이 있음이 검증되었으나, 역량적 제약의 직접적인 영향은 검증되지 않았다. 또한 조세지원, 자금지원, 금융지원, 인력지원, 구매지원과 같은 정부지원제도는 역량적 제약이 혁신 성과에 미치는 영향을 긍정적으로 조절함을 밝혔으나, 기술지원과 인증지원의 조절효과는 검증되지 않았다. 기업의 역량적 제약의 수준에 따른 정부지원제도가 갖는 직접적 영향과 조절적 영향을 바탕으로 혁신 성과와의 관계를 논의하였다. 연구 결과를 바탕으로 물류산업의 혁신을 촉진하기 위한 정부지원제도의 수립 및 활용과 더불어 물류 기업의 혁신 전략에 대해 제언하였다.During the Fourth Industrial Revolution, new technologies will lead to technological innovation. There are studies on how the domestic logistics industry will see the introduction of new services and receive national attention on achieving innovation. However, given the lack of discussion on the impact of innovation constraints on innovation performance in the logistics industry, there is insufficient evidence on the methods for promoting innovation in the industry. This study identified the impact of innovation constraints on innovation performance in the logistics industry and analyzed the impact of government support systems on the relationship between innovation constraints and performance. The results showed that logistics companies tend to achieve higher innovation performance when facing funding-related constraints, while the direct impact of capability-related constraints was not established. The government support systems &#8211; tax, fund, finance, manpower, and purchasing support &#8211; positively moderate the impact of capability-related constraints on innovation performance; however, the moderating effect of technical and certification support was not established. Based on the results, we suggest ways to establish and utilize government support systems and propose innovation strategies that can help logistics firms promote innovation.
Non-destructive testing of composite sandwich panels using optical interferometric methods

Two optical interferometric methods have been used for the detection of artificially introduced defects in composite panels. ESPI (Electronic Speckle Pattern Interferometry) and ESI (Electronic Shear Interferometry) have given satisfactory results showing their applicability over the Non-Destructive Evaluation of sandwich composite structures used for civil and military aircraft. The results obtained using both methods were successfully compared, revealing advantages and limitations of each one.
Sistem Prediksi Kondisi Kesehatan Pasien Penderita Talasemia dengan Menggunakan Logika Fuzzy Tsukamoto

Thalassemia is a hereditary disease that makes sufferers experience red blood cell abnormalities and must receive continuous blood transfusions throughout their lives. Gunung Jati Hospital, Cirebon City handles registration and scheduling of thalassemia patients with assistance from Perhimpunan Orang tua Penderita Talasemia Indonesia (POPTI). In handling patient data, it is necessary to have a system that facilitates all activities ranging from registration, scheduling, and make predictions about the patient's health condition along with recommendations for handling the patient's condition. The purpose of this study is to make a prediction system for health conditions related to thalassemia suffered by patients based on influencing variables using the Fuzzy Tsukamoto method. This system can also handle patient data, scheduling, and storing patient medical recap data. The final results of this system are patient data, patient care schedules, predictions of patient health conditions, and recommendations for patients.&#x0D; &#x0D; Keywords— Fuzzy; Prediction; thalassemia; Tsukamoto.
TEACHING PRACTICE AS THE BASIS OF PRACTICE-ORIENTED TRAINING

The global educational space requires specialists who reproduce not only theoretical knowledge, but also have personal and professional competences that can quickly adapt to the modern requirements of the labor market. Many countries have come to the conclusion that practice-oriented training has the necessary components for the development of competences necessary for a modern specialist in the field of education, as well as the acquisition of professional experience. Practice-oriented training is based on the application of theoretical knowledge in practice. This article considers teaching (pedagogical) practice as a kind of practice-oriented training and a tool for developing the competences of future teachers. The experience of organizing practice in the USA, Germany and Israel was reviewed. Using empirical methods on the example of the L. N. Gumilyov Eurasian National University, the level of formation of professional competences among undergraduates of the specialty “Social pedagogy and self-knowledge” is revealed, as well as the goals, principles of teaching (pedagogical) practice and training technologies are considered; the problems encountered by interns are listed. Among the main problems were the transition to distance learning, the psychological aspect, the lack of live communication and educational environment. In conclusion, recommendations were made to overcome the problems encountered.
Propeller Speed Control System on Autonomous Quadcopter with Variations in Load Fulcrum Point

The need for unmanned vehicles is increasingly needed in certain conditions, such as distribution of disaster supply, distribution of medicines, distribution of vaccines in the affected areas in pandemic situations. The various types of goods to be distributed require a different fulcrum. This research implemented PID control for the quadcopter balance control system to achieve stability during hovering. PID control is used to achieve a certain setpoint to produce the required PWM output for the propeller to reach a speed that can fly the quadcopter tilted until it reaches a steady state. Tests were carried out on the roll and pitch motion of the quadcopter by providing a load. The results show that PID control can be implemented for the quadcopter balance control system during hovering by determining the PID constants for each roll and pitch motion with the constanta of Kp = 0.15, Kd = 0.108, and Ki = 0.05. The quadcopter takes 3 – 6 seconds to return to the 0 degree setpoint when it is loaded.
The Rich Event Ontology: Ontological Hub for Event Representations

This chapter reviews the current landscape of ontological and lexical resources that motivated the development of the Rich Event Ontology (REO). Aimed at a whole that is greater than the sum of its parts, REO functions as a conceptual organization of event types that facilitates mapping between FrameNet, VerbNet, and the Entities, Relations, and Events corpus annotation from the Linguistic Data Consortium.
SAS (SYNTHETIC STRUTURAL ANALYTIC) METHOD IN IMPROVING STUDENT'S READING SKILLS

Abstract&#x0D; The problem in this study is that there are still students who have not been able to read, there are still students who still have difficulty spelling the reading, and there are still low reading skills in students. This study aims to determine the application of the SAS (Synthetic Analytical Structural) method to improve reading skills of grade II students of SDN 1 Wonosari. This type of research is a qualitative method. The research population was class II homeroom teachers, class II students, and principals. The sample of class II students was 13 students. Data collection techniques using interview techniques, observation, documentation. Based on the results of the study, the application of the SAS (Synthetic Analytical Structural) method can improve reading skills of grade II SDN 1 Wonosari students, this can be seen from the progress of students who were not able to read as much as 50% to 70%. Students who had difficulty spelling a reading from 40% to 60%. Based on this, the application of the SAS (Synthetic Analytical Structural) method is very helpful in improving the reading skills of grade II students of SDN 1 Wonosari.&#x0D; Keywords: SAS method, reading skills&#x0D;
The Effects of Childcare Teachers’Empowerment, Thier Turnover Intention, and Director’s Emotional Leadership of Childcare Center on Their Job Satisfaction

본 연구의 주된 목적은 원장의 감성리더십, 유아교사의 임파워먼트와 이직 의도가 유아교사의 직무만족에 미치는 영향에 대해 알아보는 것이다. 이를 위해 본 연구는 294명의 유아교사를 대상으로 원장의 감성리더십, 유아교사의 임파워먼트와 이직의도, 직무만족에 대한 자료를 수집하여 분석하였다. 본 연구에서 나타난 결과는 다음과 같다. 첫째, 원장의 감성 리더십은 유아교사의 임파워먼트와 직무만족과 유의한 정적 상관관계가 있는 것으로 나타났다. 그리고 유아교사의 직무만족은 유아교사 임파워먼트, 원장의 감성리더십, 유아교사의 이직 의도의 순서로 영향을 미치는 것으로 나타났다. 셋째, 유아교사의 임파워먼트와 이직 의도는 원장의 감성리더십이 유아교사의 직무만족에 대한 영향에서 부분적으로 매개하는 것으로 나타났다. 이를 통해 볼 때 본 연구는 원장이 감성 리더십을 발휘한다면 유아교사의 임파워먼트를 발휘하고 이직 의도는 낮아지며 직무만족은 높아지는 것을 알려준다.The main purpose of this study is to verify the indirect effects of a director’s emotional leadership as perceived by early childhood teachers, on their empowerment, and turnover intentions as well as on their overall job satisfaction. For this study, data was analyzed and collected by a total of 294 early childhood teachers. The results of this study are as follows. First, the director’s emotional leadership as perceived by early childhood teachers had a significant positive correlation with teacher empowerment and overall job satisfaction. However, there was a significant negative correlation between a teacher’s turnover intentions and the director’s emotional leadership as perceived by early childhood teachers. Second, the most influential factors in a teacher’s job satisfaction in turn were: teacher empowerment, the director’s emotional leadership as perceived by early childhood teachers and teachers turnover intentions. Third, teacher empowerment and turnover intentions had partial mediating affects on the relationship between the director, the early childhood teachers and their overall job satisfaction. Therefore, it is necessary for a director to demonstrate emotional leadership to improve early childhood teacher’s overall job satisfaction and reduce their turnover intentions.
Modeling of Formation of Readiness of Cadets of Military Institutions of the Troops of the National Guard of the Russian Federation for Command Activity

Problem and Aim. The article considers the problem of modeling such a pedagogical phenomenon as the cadet’s readiness for command activity. The military professional experience of the future officer was formalized and the correlation of “readiness” with the traditional competence of the military man was validated. The essential components of the modeling process of the cadet’s readiness for command activity are established, the criteria for the effectiveness of such modeling are determined. The purpose of the article is establish the essential components of the process of modeling the readiness of the cadet for command activity, determine the criteria for the effectiveness of such modeling. Methodology. Research methods: comparative analysis of military-vocational training technologies, highlighting the essential intentions of the cognitive plan in them, followed by designing a criteria base for the effectiveness of using such technologies in the formation of cadets’ readiness for command activities. The article considers the problem of modeling such a pedagogical phenomenon as the cadet’s readiness for command activity. The military professional experience of the future officer was formalized and the correlation of “readiness” with the traditional competence of the military man was validated. The essential components of the modeling process of the cadet’s readiness for command activity are established, the criteria for the effectiveness of such modeling are determined.
Radiation response data analysis using Bayesian nonparametric regression models with shape-restriction

본 논문에서는 제약조건 (shape-restriction)이 있는 베이지안 비모수 회귀모형 (Bayesian non-parametric regression models)을 이용하여 방사선 반응자료 (radiation response data)를 분석한다. 특히, 식품에 방사선을 조사 (irradiation)하여 얻어진 반응 자료를 분석하고 베이지안 추론 (Bayesian inference)의 결과를 제시한다. 베이지안 추론을 위해 사후분포 (posterior distribution)는 가우시안 분포를 근사 분포로 하는 가수시안 변분 베이즈 (Gaussian variational Bayes) 근사 방법을 활용하여 근사하고, 해밀토니안 몬테카를로 (Hamiltonian Monte Carlo)에 기반한 마코프 체인 몬테 카를로 (Markov chain Monte Carlo)방법과의 비교를 통해 변분 추론 (variational inference)의 타당성을 제시한다.
Deep Ensemble based Object Detection from Aerial Images

Object detection in aerial images is continuously studied for various purposes such as national security, disaster monitoring, and meteorological observation. It is difficult to improve recent object detection methods based on a single model using deep learning due to severe class imbalance. This paper proposes a deep ensemble method combining two models with different strengths and a class-dependent thresholding method by considering the object distribution. We demonstrate the superiority of our methods in a series of experiments. In addition, we take 1st place in both public and private scores in the Arirang satellite image AI object detection contest.
Characterization of Monsoonal Rainfall in the Sudano-Sahelian Zone of Northwestern Nigeria

Wavelet transform has been underutilized in characterization of rainfall (Real Onset Dates and Real Cessation Dates) in the study area. This study aims at the characterization of monsoonal rainfall. Daily rainfall data of four stations for the period 1981-2018 were collected from Nigerian Meteorological Agency. The Intra-seasonal Rainfall Monitoring Index (IRMI) was generated and used in determining the RODs and RCDs. The Mann–Kendall test was used to detect trends of the rainfall characteristics. Wavelet transform was used in modelling RODs and RCDs. Findings revealed that RODs vary between stations. There is low (0.3 Spearman’s Rank r) correlation between latitudes and Early Cessations (ECs) of rains. The Morlet wavelet analysis revealed that from 1999 to 2018, there were more of EOs and NOs especially in Kano station. We conclude that from 1981 to 2018 there has been a minimal increase in the retreat dates of rainfall in the study area.
Indigenous knowledge promotion as a strategic pathway to sustainable structural transformation financing in Africa: lessons for the Middle East and North African economies

The quest for structural transformation has been a crucial challenge in Africa in spite of the huge amounts of aid disbursed, investments undertaken, policies implemented, etc. Notwithstanding several important reasons highlighted in the literature, they are insufficient because they focus on the role of financial resources but neglect non-financial issues and resources that are required to guarantee efficient mobilisation, utilisation and prudent management of public resources. Consequently, this paper examines these non-financial issues and resources through a systematic review of the relevant literature and analysis of their contents. The major finding was that most policy efforts at structurally transforming finance in Africa achieved little success because they were not rooted in the continent's cultures and traditions, which should be employed to enhance sound financial management and control systems.
Local pruning global pruned network under knowledge distillation

Network pruning has achieved great success in the compression and acceleration of neural networks on resource- limited devices. Previous pruning algorithms utilize filter pruning or channel pruning with the definition of a specific global or local pruning rate. Conventional pruning only finds or considers global or local pruning rates. In the only consideration of global pruning works, they ignore the individual characteristics of each layer. Similarly, only consideration of local pruning works could lead to a fragmented connection between layers. In this paper, we propose a novel method named global and local pruning under knowledge distillation (GLKD) by a combination of filter pruning and channel pruning technology, which is trained with a mixture of global and local pruning rates. The proposed algorithm, GLKD, can accelerate the inference of ResNet-110 to 56.2% speed-up with 0.17% accuracy increase on the CIFAR-100 dataset, which has great trade-offs in accuracy and compression. Additionally, the experiments of GLKD on ImageNet with ResNet-56 and ResNet-110 are conducted to prove its effectiveness on the compressed model. Moreover, the knowledge distillation is adopted on the pruning step in GLKD algorithm and improves the accuracy of the pruned network.
Fizeau interferometry with computer generated hologram for mid-spatial wavefront measurement of lens with long focal length

Mid-spatial frequency errors can lead to self-focusing and power loss in a high-power laser. This paper describes the use of a binary phase computer generated hologram (CGH) to measure the mid-frequency wavefront of lens with long focallength. Thus, the designed CGH can provide reference aspheric wavefront with high-precision, in the meantime greatly shorten air space, thereby reducing the effect of vibration and air turbulence. Moreover, the use of power spectral density (PSD), structure function (SF) and autocorrelation function (ACF) for the specification and characterization of lens midfrequency wavefront are presented. The direct relationship between PSD, SF and ACF are analysed by the quantitative evaluation of the wavefront aberration. Analysis of different evaluation method help to understand the light transmission characteristics, and the area structure function and autocorrelation function can be complementary methods for specifying and representing the spatial content of optical surface errors.
Dual attention-guided residual U-Net for image denoising

We propose a Dual Attention-guided Residual U-Net (DARUNet) for Image denoising. This learning is based on the U-Net with several dual attention residual modules embedded in the network to realize the image denoising of Gaussian synthesis noise. Specifically, our method combines the advantages of the reconstruction and transformation of U-Net, the ability of strengthening model training of residual structure and the guiding role of attention mechanism. Among them, the attention mechanism adopts the dual attention parallel structure including spatial attention and channel attention, which effectively guides the model to reduce noise. The model can retain the detail features of the original image, and has excellent ability for image denoising. The resulting images are more natural and have higher quality. A large number of experimental results show that our method achieves advanced performance qualitatively and quantitatively.
Electricity Decentralized Transaction Framework of Community Energy Internet Cluster Based on Blockchain

The frequent electricity transactions of multienergy complementary Energy Internet Cluster result in higher operating costs and increased risks of information security by traditional transaction mode. Therefore, based on the blockchain technology, this paper proposes an electricity trading architecture suitable for Community Energy Internet Cluster. Firstly, the article elaborates the basic structure of Energy Internet and blockchain, and analyzes the adaptability of blockchain applied to Energy Internet Cluster electricity transaction. Secondly, the process of establishing electricity trading platform and deploying smart contract based on Ethereum network is described in detail. Thirdly, the power transaction framework of Community Energy Internet Cluster is constructed, and the double auction mechanism is applied to complete matchmaking tradeoff, and the smart contract is designed. Finally, a practical energy trading platform is built through the Ganache client of Ethereum network. Case studies demonstrate the feasibility and effectiveness of the trading operation framework.
ANALISIS KETERAMPILAN MENULIS CERPEN SISWA KELAS V SDN 16 CAKRANEGARA

This study aims to describe the skill level of fifth grade students at SDN 16 Cakranegara in writing short stories. In this study, a qualitative approach was applied using descriptive qualitative methods. One form of assessment on students' short story writing skills is to look at the completeness of the intrinsic elements in students' short stories. The source of data in this study is the work of students' short stories, totaling 27 short stories. The results of students' short stories writing were analyzed and described based on the intrinsic elements of the short story, namely the theme, character, setting, plot, and mandate. Based on the benchmarks for the assessment of students' short stories writing skills, they are categorized as very good, good, sufficient, lacking, and very poor. The results of the analysis of short story writing skills, students who are categorized as very good are 11 students with a percentage of 40.74%. There are 4 students in good category with a percentage of 14.81%. There are 4 students who are categorized as sufficient with a percentage of 14.81%. Students who are categorized as less are 7 students with a percentage of 25.92% and 1 student gets a very poor category with a percentage of 3.70%. Thus, it can be concluded that the short story writing skills of the fifth grade students of SDN 16 Cakranegara are in good category, according to the calculation of the total score of 1883 with an average score of 69.74. This study also provides recommendations for teachers to be more active in providing writing exercises to students, especially writing short stories so that students' short stories writing skills are better. and for further researchers to analyze the short story writing skills of elementary school students in other classes.
Integrated Photonics for Artificial Intelligence Applications

In the last few decades, a lot of research has been done on high-speed computing techniques. Many scientific fields need high-speed and high-performance computational techniques for smooth and fast operations. Human-brain–inspired computing, named artificial neural network or neuromorphic computing, is the leading technology. In this chapter, we review the emergence of photonics in neuromorphic computing, a concise survey on recent photonic architecture, and components for neuromorphic computing.
PEDAGOGICAL FOUNDATIONS OF THE CULTURE OF MODERN TEACHER

PEDAGOGICAL FOUNDATIONS OF THE CULTURE OF MODERN TEACHER Vadim Guts Student, Volgograd State Socio-pedagogical University, Russia, Volgograd Artem Tarasov Senior lecturer, Volgograd State Socio-pedagogical University, Russia, Volgog
A Visual Perception Method for Autonomous Navigation at Sea Based on ROS

Aiming at the complicated problems of the detection task of marine ship targets such as complex environment, changing light, and deformation of ship targets, this paper designs a ROS-based visual perception method for autonomous maritime navigation. This method uses the YOLOV3 algorithm integrated with the Densenet network to obtain target category and location information from multiple targets at sea. The method is based on the Robot Operating System (ROS) to develop an overall solution for system development and engineering application verification. A visual perception system based on ROS in autonomous navigation is formed through the multi-level selection of software algorithms and system frameworks. The experimental results show that the visual perception method based on ROS designed in this paper can realize rapid detection and positioning of objects in autonomous navigation of ships. Compared with the traditional image processing method, it has better robustness to the target shape and environmental diversity.