Reviewerly/exHarmony huggingface dataset:
Research on Adversarial Disturbance Based on Meteorological Time Series Data

When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in short), which slightly perturbs the original data to improve the performance of the time series prediction model. The meteorological data of Guangzhou from 1980 to 2020 are selected as the studied time series data, which verifies that the proposed adversarial attack method not only effectively fools the target time series prediction model LSTNet, but also attacks the most advanced models based on CNN and RNN. It can be seen from the results of AAIM that the adversarial disturbance based on the first 5% importance measurement has almost the same effect as the 100% disturbance of the original time series. For the proposed AAIM, even if the disturbance is tiny, it can impact the prediction performance of the deep learning model significantly. Experimental results show that the proposed method achieves good transferability.
Impact of Corporate Social Responsibility on Firm Value of Listed Deposit Money Banks Nigeria

This study examines the impact of corporate social responsibility on firm value of listed Deposit Money Banks in Nigeria.The study was motivated by inconsistency in measurement of CSR and conflicting findings by researchers on the relationship between Corporate Social responsibility and firm value.Thus, this study adopted the correlational and ex-post facto research designs.The secondary data were extracted from the annual report and accounts of the 10 listed Deposit Money Banks on the Nigerian Stock Exchange Market as at 31 st December 2020.Data collected was analysed using Regression analysis statistical tool with the aid of statistics and data (STATA) analytical package.Findings from the analysis revealed that philanthropic corporate responsibility, ethical corporate responsibility and economic corporate responsibility have positive relationship with the firm value of deposit money banks (DMB's) listed in Nigeria.while negative relationship exists between legal social responsibilities and firm value of deposit money banks listed in Nigeria.Thus, it is recommended that board and managements of DMBS in Nigeria should avoid being penalised or fined for noncompliance or any other reason and ensure that their operations are incompliance with relevant rules and regulations and in line with all Central Bank of Nigeria circulars and ensure that investors' wealth is maximized.
Pengembangan Media Pocket Book Guna Melatih Keterampilan Menulis Huruf Tegak Bersambung 2 SD

Writing ability is the ability to convey messages to others in writing, but there are still many problems with writing skills, one of which is writing cursive letters. The problems that occur are, some students still have difficulty in arranging and connecting concatenated letters, some students have difficulty arranging loose letters, and some students are tired of writing too many cursive letters. This study aims to provide education for children in writing cursive letters through the development of Pocket Book media. This study uses the R&amp;D (Research and Development) research method and uses the ADDIE development model. There are 5 Development Processes that have been implemented in this research, namely: 1) Analysis, 2) Design, 3) Development, 4) Implementation, 5) Evaluation. The Pocket Book media assessment was carried out by media, material, educator responses and student responses for grade 2 SDN Ceweng Jombang. The results of Pocket Book media development research show that the percentage obtained from media expert validators is 88.24% with a very valid and appropriate category for use, material expert validators are 85.29% in a very valid and suitable category for use. Furthermore, the results of trials or educators are 92% with a suitable category for use. The results of field trials with 17 students with a percentage of 91% with a very interesting category. Based on the results of the analysis, Pocket Book media is feasible to be used as a learning medium
The Role of Social Capital and Entrepreneurial Orientation in Developing Tourism SMEs Resilience

This paper aims to propose a framework that may enhance business resiliency of the tourism SMEs through social capital and entrepreneurial orientation. The claim that there has been a dearth of research models in this area through a systematic review triggered the development of a moderation model to understand the relationship between social capital and entrepreneurial orientation towards enhancing business resiliency of the tourism SMEs. Based on an extensive literature review, a total of two propositions were proposed to understand the relationship between social capital, entrepreneurial orientation, and business resilience. This study is important to the management of tourism SMEs as it shows that management of SME could be improved, recovered, and sustained business resiliency through social capital and entrepreneurial orientation. There are only a few research studies related to the contribution of social capital and entrepreneurial orientation to business resilient of tourism SMEs. This study demonstrates the moderating role of entrepreneurial orientation on the relationship between social capital and business resilience.
Does Enterprise Risk Management Influence Performance? Evidence from Malaysian Private Higher Education Institutions

Private Higher Education Institutions (PHEIs) play an important role in the country’s growth and development. However, the SARS-CoV-2 pandemic has shut about 60 private higher education institutions (PHEIs) in the year 2020 (Azman, 2021). For firms to attain excellent organisational performance, enterprise risk management (ERM) is viewed as a critical requirement. This study aims to examine the roles of enterprise risk management on the performance of private higher education institutions in Malaysia from customer perspectives, financial perspectives, internal processes perspectives and learning and growth perspectives. To evaluate the hypotheses, data is collected from PHEIs in Malaysia using an online survey questionnaire. Structural equation modelling software SmartPLS 3.3.9 is used to analyse the 186 valid responses received. This empirical research discovers that ERM has positive and significant impact on financial perspective performance, customer-focused perspective performance, internal processes performance and learning and growth perspective performance of PHEIs in Malaysia. The findings contribute to the advancement of the resource-based view (RBV) theory. Practitioners of PHEIs will understand how to maximise the resources and skills to improve ERM that eventually drive the performance of their institution.
Book Review of Disciplinary Literacy and Gamified Learning in Elementary Classrooms: Questing Through Time and Space

Disciplinary Literacy and Gamified Learning in Elementary Classrooms: Questing Through Time and Space is a handbook for launching quest-based learning activities in the elementary classroom. The work collates resources that support content area learning and multi-modal literacy. Students are centered in the learning activities as creators and players, thus making learning an active and engaging experience. Each unit articulates the learning standards, lesson objectives, and evaluation methods, effectively serving as a paradigm of best practices in teaching. This resource is complemented by an online resource hub for each unit of study, which includes a supplementary website, videos, and printable lesson plans.
Manajemen Pengolahan Koleksi Buku di Dinas Kearsipan dan Perpustakaan Kota Jambi

This study aims to determine the management of book collections, as well as the challenges and efforts made by the Jambi City Library and Archives Office. This research uses qualitative techniques and descriptive research design. Interviews, observations, and documents are used as data collection strategies. Data reduction, visualization, and verification techniques are used in data analysis (conclusions). Based on the results of field research, the management of book collections at the Jambi City Archives and Library Office includes the procurement of books, data verification, intervention, book stamps, classification, cataloguing, making cards and book bags, as well as providing barcodes before being placed on the bookshelf. In accordance with applicable norms and regulations, the number of books in the Jambi City Archives and Library Office is sufficient. Evaluate human resources by offering advice and training, and presenting them to librarian managers.
Co-Authorship in <i>King John</i>: Further Evidence

In an unpublished investigation that he shared with the author in 2011, Gabriel Egan divided King John into forty equal sized blocks, each consisting of 2,000-word ‘rolling windows’. Block 1 (I.i.1–I.i.239) began with the play’s first line and proceeded in steps of 500 words to a final Block 40 (V.iv.30 to the end at V.vii.118).1 Using the WAN method of authorship discrimination,2 Egan found Blocks 5–8 (I.i.239–II.i.392) and Block 16 (III.i.39–III.i.283) resembled the dramatic writing of George Peele, while Blocks 9 and 10 (II.i.205–II.i.513) and Blocks 34–37 (IV.iii.97–V.vi.4) resembled the writing of Christopher Marlowe. The remaining twenty-nine blocks resembled Shakespeare.3 The purpose of Egan’s research was partly to confirm or refute a claim which I had made.4 Thomas Merriam has published a series of articles presenting evidence that King John was co-authored, most likely with George Peele. Because Merriam's methods are quite unlike those of the WAN approach, it would be particularly significant if our method came to the same or similar conclusions.5
Security Culture, Top Management, and Training on Security Effectiveness: A Correlational Study Without CISSP Participants

The purpose of this study was to analyze the relationships between four variables (predictive constructs of top management, awareness and training, security culture, and task interdependence) and an information program's security effectiveness. The difference between this study and previous research is the exclusion of information technology (IT) security professionals with Certified Information Systems Security Professional (CISSP) certifications. In contrast, participants in previous research were IT professionals with CISSP certifications. The research question asked to what extent is there a statistically significant correlation between each of the four predictive constructs and security effectiveness. This study made the same correlational determination between the independent variables and the dependent variable construct using a study population of 155 Information Systems Audit and Control Association (ISACA) members. This study used structural equation modeling (SEM) techniques to analyze relationships. The same previously used instruments were reused to reassess these particular participants. The results of SEM revealed that there was a significant relationship between security culture and security effectiveness. Similarly, significant relationships were found between top management, awareness and training, security culture, and security effectiveness, which repeated similar findings from previous research. A post hoc test was conducted using path analysis to reaffirm the direct causal relationship between security culture and security effectiveness that was also previously researched with similar results. The results demonstrated that security culture is a significant influence regardless of the participants' perception of a security professional with or without CISSP certification. The implications of this can greatly affect reorganizational structure changes focused on developing security culture as an investment and a much-targeted construct focused on by future researchers. This could result in humandepartments or functional managers realigning staff positions to concentrate on spreading security culture among fellow employees who affect cybersecurity either directly or indirectly in the workplace.
PERFORMANCE BASED MONITORING AND ADDITIVE CONTROL

Performance based monitoring and additive control is a novel approach to the cost-effective protection of cooling system efficiency and economic life. Traditional open recirculating cooling water control utilizes feedback control of pH and conductivity together with a feed forward signal from a makeup water meter to control system chemistry. This paper covers the superimposition of cascade control based on performance parameters, corrosion and fouling, as a means to refine control and optimize results. The results are further enhanced via the inclusion of Artificial Intelligence logic to make direct real-time control and to integrate all of the logic into a single control system. Performance based control is thus a significant improvement over existing industry norms.
Reflexive-Dialogical Approach to the Correlation of Individual and Social Modes in the Design of Personal Learning Outcomes

The article considers the possibility of applying a reflexive-dialogical approach to the design of a personal result, built on the basis of the value-semantic intentions of a person in his individual and social modes. Such a pedagogical attitude is built taking into account the peculiarities of the reflexive mechanism that starts the process of appropriation by a person of socially significant values, if it is possible to correlate them with personally significant ones. The effectiveness of the approach lies in the fact that as a result of dialogic interaction in the learning process, conditions are created for gaining the integrity of the individual.
Using Word Wall to Improve Students’ Vocabulary for the 4th Grade at Elementary School

This research is Using Word Wall to Improve Students’ Vocabulary for the 4th Grade at Elementary School. Vocabulary is the main component of the language that must be learned by students to support their four basic English skills which are speaking, listening, reading and writing. Using word wall to learn vocabulary can help students to improve their vocabularies, because it’s fun learning. This research aimed is to help teacher improve students’ vocabulary using word wall for the 4th grade at elementary school. In this research, the researcher used the Class Action Research, and consists of four procedures in each cycle which were planning, action, observation, and reflection. The results showed that the average score of students before using the word wall was 63 which then increased in the first cycle with an average score was 74 with an increase of 17%. Then the second cycle was carried out which showed the average score of students to be 88 with an increase of 21% from the first cycle.
A discontinuity-preserving regularization for deep learning-based cardiac image registration

Abstract Objective . Sliding motion may occur between organs in anatomical regions due to respiratory motion and heart beating. This issue is often neglected in previous studies, resulting in poor image registration performance. A new approach is proposed to handle discontinuity at the boundary and improve registration accuracy. Approach . The proposed discontinuity-preserving regularization (DPR) term can maintain local discontinuities. It leverages the segmentation mask to find organ boundaries and then relaxes the displacement field constraints in these boundary regions. A weakly supervised method using mask dissimilarity loss (MDL) is also proposed. It employs a simple formula to calculate the similarity between the fixed image mask and the deformed moving image mask. These two strategies are added to the loss function during network training to guide the model better to update parameters. Furthermore, during inference time, no segmentation mask information is needed. Main results . Adding the proposed DPR term increases the Dice coefficients by 0.005, 0.009, and 0.081 for three existing registration neural networks CRNet, VoxelMorph, and ViT-V-Net, respectively. It also shows significant improvements in other metrics, including Hausdorff Distance and Average Surface Distance. All quantitative indicator results with MDL have been slightly improved within 1%. After applying these two regularization terms, the generated displacement field is more reasonable at the boundary, and the deformed moving image is closer to the fixed image. Significance . This study demonstrates that the proposed regularization terms can effectively handle discontinuities at the boundaries of organs and improve the accuracy of deep learning-based cardiac image registration methods. Besides, they are generic to be extended to other networks.
HARNESSING SOLAR ENERGY USING SUN TRACKING SOLAR PANEL

Energy demands in the recent times have been recorded to be growing at an exponential rate by the marketable and as well as domestic requests.While the non-renewable sources are fleetly getting depleted, it leaves no other option but to use renewable sources to produce usable energy.Of these sources, the Solar energy is the most abundant and easy to harness through Solar panels.This paper makes us understand the process of employing the solar energy more efficiently.The Sun Tracking Solar Panel aims at moving the Solar Panel according to the movement of the sun.It scans from one horizon to other to know the current position of sun and hence the position from which the greater solar energy can be attained is exercised.Also, this paper analysis the use of Blynk IOT app in covering the weather conditions and operating the panel system with respect to its movement and turning the system off/ on.
AN INVESTIGATION OF GRADUATE STUDENTS’ USAGE OF SYNCHRONOUS LEARNING PLATFORMS IN THE POST COVID-19 ERA

Alternative methods for instruction after a pandemic for higher education applied synchronous learning platforms.Graduate students could take classes from any area employing their mobile devices and internet connectivity.The study was to expand technology satisfaction and DeLone and McLean's model among graduate students employing synchronous learning platforms post COVID-19.Data obtained from a survey and 204 participants of Thai and international students filled the questionnaires.The proposed hypotheses analyzed applying a type of Partial Least Squares.The results denoted that computer self-efficacy, service, information, and system quality significantly and directly influences TAM (perceived usefulness and perceived ease of use).In addition, satisfaction was effected by TAM.System quality has higher important in increase satisfaction of synchronous learning platforms in the post COVID-19.The findings will assist universities and stakeholders in service planning use synchronous learning platforms in remote learning.Managerial implications can be discussed.
Analysis of Trade Fraud in Korea: Trade settlement fraud and shipping fraud

Purpose : The purpose of this study is to analyze trade fraud cases and present pre- and post-measures to prevent risks and damage to trade traders. It also aims to help revitalize exports and imports by presenting practical and policy implications.&#x0D; Research design, data and methodology : This paper is Along with a literature, review, this study focuses on the Kotra’s trade fraud cases from 2017 to 2021.&#x0D; Results : According to the analysis results, payment fraud is unpaid in long-term transactions based on trust, extension of payment date, suspension of transactions due to change of representative, company liquidation, and payment avoidance. Examples of defective shipments include fraud cases of non-existent companies and product shipping cases different from the contents of the contract.&#x0D; Conclusions : As a result of the study, pre- and post-counter measures for trade fraud are presented. The practical implications are that it is possible to provide major guidelines to trade traders by raising awareness of trade fraud and improve stable and continuous competitiveness. Policy proposals and implications are to establish a system to prevent trade fraud through briefing sessions and education, development and competition of educational programs, and pan-government cooperation.
FEATURES OF STUDYING LEGAL ISSUE IN THE LESSONS OF SOCIAL SCIENCE IN MIDDLE AND SECONDARY SCHOOL (BY THE EXAMPLE OF FAMILY LAW)

The relevance of the article is determined by the changes that have been made to the process of studying the course of social science in middle school, namely the transfer of topics related to legal issues to the 7th grade, which poses the problem for the teacher of adapting complex aspects of social science education to new conditions. The article reveals the features of studying the topic «Family law» at the level of basic and secondary general education, and also demonstrates the effectiveness of using practical tasks and cases to achieve educational results.
NMPC Motion Planning Method For Two Wheel Differential Motion Model

At present, many motion planning algorithms generally have problems such as linearization and failure to consider the robot kinematics model, which may lead to unsmooth path planning, or vehicles cannot fully fit the path. Aiming at the problem of motion planning, a nonlinear model predictive control (NMPC) algorithm for two wheel differential model is designed. The algorithm uses NMPC as the algorithm core and takes the two wheel differential motion model as the kinematic constraint. In order to achieve navigation and obstacle avoidance in complex environments, the control obstacle function (CBF) and control Lyapunov function (CLF) are added to NMPC as constraints. The planning ability of NMPC in simple environments with static obstacles and NMPC-DCBF-DCLF in complex environments with multiple moving obstacles are tested. The experimental results show that the algorithm can well complete path fitting in simple environments and obstacle avoidance planning in complex environments.
YOLOv5 insulator defect detection method based on multi-head self-attention

Insulators are important components of transmission lines. Aiming at the problems of small detection targets and complex detection backgrounds in the images of insulators taken by drones in power inspections, this paper proposes an improved BM-YOLOv5 insulator defect detection method based on the YOLOv5 network. The multi-head self-attention structure is introduced to improve the performance of the model to capture long-distance dependencies, so that it can pay attention to global information; the original feature pyramid structure is replaced with a weighted bidirectional feature pyramid structure, and additional weights are added to features of different scales. Make full use of features between different scales. Based on the newly constructed insulator defect data set with complex background and small targets, the method is compared with the commonly used insulator defect detection models YOLOv5, YOLOv3, Faster-RCNN, and SSD. Compared with YOLOv5, the average accuracy has increased by 5.1%.
Nghiên cứu cấu trúc điều khiển sạc dòng không đổi kết hợp điều khiển bám trở kháng tối ưu cho hệ thống sạc không dây cho ô tô điện

This study proposes a control structure combining charge current stability control and optimal impedance tracking control to improve charging efficiency.In which, an algorithm is given that plays the role of deciding the charging current value for this control structure.The effectiveness of the proposed structure is verified by simulation on PSIM.The charging current is controlled stably with a response time of fewer than 0.01 seconds, the error does not exceed 0.2%, and the system efficiency is improved up to 92.7%.