Reviewerly/exHarmony huggingface dataset:
Designing Secure Digital Energy Platforms

&lt;p&gt;The power system and markets have become increasingly complex along with an effort to digitalize the energy sector. Accessing flexibility services, in particular, through digital energy platforms, has enabled communication between multiple entities within the energy system and streamlined flexibility market operations. However, digitalizing these vast and complex systems introduces new cybersecurity and privacy concerns, which must be properly addressed during the design of the digital energy platform ecosystems. In this study, the potential and operation of digital flexibility platforms are reviewed, and a generic architecture with/without a combined distributed ledger technology framework is proposed. Finally, concerns about cybersecurity and privacy on digital energy platforms are discussed.&lt;/p&gt;
The Structure of Reed–Muller Codes Over a Nonprime Field

It is well known that Reed–Muller codes over a prime field are radical powers of a corresponding group algebra. The case of a nonprime field is less studied in terms of equalities and inclusions between Reed–Muller codes and radical powers. In this paper, we prove that Reed–Muller codes in the case of a nonprime field of arbitrary characteristic are distinct from radical powers and provide necessary and sufficient conditions for inclusions between these codes and the powers of the radical.
Face Recognition Method under Adaptive Image Matching and Dictionary Learning Algorithm

In this research, a robust face recognition method based on adaptive image matching and a dictionary learning algorithm was proposed. A Fisher discriminant constraint was introduced into the dictionary learning algorithm program so that the dictionary had certain category discrimination ability. The purpose was to use this technology to reduce the influence of pollution, absence, and other factors on face recognition and improve the recognition rate. The optimization method was used to solve the loop iteration to obtain the expected specific dictionary, and the selected specific dictionary was used as the representation dictionary in adaptive sparse representation. In addition, if a specific dictionary was placed in a seed space of the original training data, the mapping matrix can be used to represent the mapping relationship between the specific dictionary and the original training sample, and the test sample could be corrected according to the mapping matrix to remove the contamination in the test sample. Moreover, the feature face method and dimension reduction method were used to process the specific dictionary and the corrected test sample, and the dimensions were reduced to 25, 50, 75, 100, 125, and 150, respectively. In this research, the recognition rate of the algorithm in 50 dimensions was lower than that of the discriminatory low-rank representation method (DLRR), and the recognition rate in other dimensions was the highest. The adaptive image matching classifier was used for classification and recognition. The experimental results showed that the proposed algorithm had a good recognition rate and good robustness against noise, pollution, and occlusion. Health condition prediction based on face recognition technology has the advantages of being noninvasive and convenient operation.
PERAN CYBERVETTING DALAM PENGAMBILAN KEPUTUSAN REKRUTMEN CALON KARYAWAN

Human Resources (HR) management in a company is inseparable from the importance of managing the recruitment process in accepting new prospective employees. One of the methods used in selecting employee candidates is through a cyber-vetting process on social media. Cybervetting is checking information and data of prospective candidates as well as individual internet reputation through search engines such as Google and social media (Facebook, Twitter, Instagram, and Linkedin). Based on this background, this study aims to determine cyber-vetting on employee recruitment decision-making. This research uses the descriptive research method. Respondents in this study are people who work in the field of recruitment both as internal company recruiters and third-party recruiters in companies domiciled in South Sumatra. The instrument in this study was an online questionnaire. A total of 12 respondents from 12 companies in South Sumatra filled out the online questionnaire. The study results show that most recruiters conduct a personal assessment of their prospective employees through social media or cyber-vetting. Therefore, social media should be used as a medium that positively impacts its users and knows the importance of paying attention to digital footprints by reflecting professionalism and good social media behavior to create trust for recruiters.
Teaching efficiency as a complex reality in the context of social competences

The article highlights aspects related to didactic efficiency as a complex reality in the context of social skills. Permanently there is interest in the most detailed description of the effective teacher model comes from the need to act on those components that are susceptible to training, starting from the premise that, just like in other fields, professionalization is also possible in the field of education. They. The professionalization of the didactic activity must not only mean the systematic assimilation of some competences fixed by some standards, but also the ability to use heuristically and creatively the social competences formed, in concrete and relatively unpredictable educational contexts.
Index Storage Fundamentals

Where the previous chapter discussed the logical design and syntax of indexes, this one will focus on the physical implementation of indexes. Understanding how indexes are stored and interact with SQL Server and the storage engine is key to better understanding the benefits of indexes and how to make more effective use of them.
Development of competency model for e-learning instructional designer

이 연구는 이러닝 교수설계자의 역량모델을 개발하고자 수행된 연구이다. 이를 위해 역량모델링을 활용하여 연구를 진행하였다. 관련 문헌조사 및 우수 수행자 5인을 대상으로 행동사건면접(BEI)을 실시하여 잠정적 역량 모델 초안을 도출하였고, 전문가 그룹 5인의 타당성 검토를 거쳐 최종 역량모델을 개발하였다. 그리고 이러닝 교수설계자의 경력에 따른 교육 우선순위를 파악하기 위해 현장 이러닝 교수설계자 80명을 대상으로 보리치 요구도를 활용하여 경력에 따른 교육요구도를 분석하였다. 연구 결과 이러닝 교수설계자가 갖추어야 할 역량모델로 크게 기초 소양 역량군, 전문 핵심 역량군 등 2개의 역량군과 하위 8개 역량, 26개의 행동지표가 개발되었다. 기초 소양 역량군에는 이러닝 프로젝트 관리, 디지털 활용 능력, 프레젠테이션, 이러닝 콘텐츠 기획력 등의 역량이 도출되었으며 전문 핵심 역량군에는 문제해결역량, 자기 계발, 혁신 지향, 커뮤니케이션 등의 역량이 도출되었다. 또한 경력별 요구도 분석을 통해 경력에 따라 요구되는 우선순위 역량을 파악하였다. 2년 미만의 저경력자들은 이러닝 프로젝트 관리 역량을 가장 필요로 하였고, 10년 이상 고경력자들은 커뮤니케이션 역량을 가장 필요로 하였다. 이러한 연구 결과는 이러닝 교수설계자들의 직무수행에 있어 지침을 제공하고 경력에 따른 이러닝교수설계자들의 직업훈련이나 연수프로그램 구성에 이론적 근거가 될 것이다.This study aims to develop a competency model for e-learning instructional designer. To this end, a study was conducted using competency modeling. For data collection, a related literature study was conducted, and five excellent instructional designers were interviewed using behavior event methods. Through the process, the basic competency model could be selected. In addition, using the Delphi method, the tentative competency model was reviewed twice by five experts in academic and corporate fields. And in order to understand the education priority according to the career of the e-learning instructional designer, the needs were analyzed using the Borich requirement. As a result of the study, as a competency model that an e-learning instructional designer should have, two competency groups including basic literacy competency group and professional core competency group, eight lower-level competencies, and 26 behavioral indicators were developed. Competencies such as e-learning project management, digital application ability, presentation and e-learning content planning were derived from the basic literacy competency group, and competency such as problem-solving capability, self-development, innovation orientation, and communication were derived from the professional core competency group. In addition, the priority competency required for each career was identified by analyzing the needs of each career. The results of this study will provide guidelines for e-learning instructional designers in their job performance and serve as a theoretical basis for training programs for e-learning instructional designers according to their careers.
Bracket words along Hardy field sequences

We study bracket words, which are a far-reaching generalisation of Sturmian words, along Hardy field sequences, which are a far-reaching generalisation of Piatetski--Shapiro sequences $\lfloor n^c \rfloor$. We show that thus obtained sequences are deterministic (i.e., they have sub-exponential subword complexity) and satisfy Sarnak's conjecture.
Compressive sensing on transform domain-based medical images watermarking

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Alvia Widyani, Ledya Novamizanti, Sofia Saidah; Compressive sensing on transform domain-based medical images watermarking. AIP Conf. Proc. 21 February 2023; 2482 (1): 030007. https://doi.org/10.1063/5.0110461 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Do Non-native Speakers Read Differently? Predicting Reading Times with Surprisal and Language Models of Native and Non-native Eye Tracking Data

Theories of entrenchment and usage-based models have revolutionized cognitive linguistics and are also spearheading the paradigm shift in linguistics from theory-driven to empirical research. Entrenched, formulaic sequences are easier to process for native speakers, but more difficult to learn for L2 learners. We investigate the correlation between reading times as manifested in eye tracking corpora and text-derived measures of formulaicity, e.g., surprisal, word frequency, and a discourse-related pragmatic feature, predict reading times of L1 and L2 readers, and assess the differences. We use freely available corpora, such as GECO, which contains eye tracking based reading times by several native and non-native speakers. We address the following RQs: 1) Which features correlate to and are predictive of reading times? 2) Are the features and their weights similar for L1 and L2 readers? 3) What is the role of individual variation? 4) Can L2 reading times be predicted as well as L1 times? 5) Does a comparison of L1 and L2 reading times reveal to us which constructions are particularly taxing for L2 readers? We establish a ranking of features and show that surprisal is a less important feature for language learners, supporting recent findings that they can profit less form context due to less exposure and lack of routinization. Individual variation is strong and unsystematic, and learners can be predicted less well, partly also because slower readers (among them many L2) have lower model fit and can be seen as less efficient at the reading task. We finally zoom in on zones that are particularly taxing for learners, and observe that they find unusual word order, rare words and constructions and idioms harder to process. Our predicted reading times are quite accurate, the error is smaller than individual variation. This means that our models are suitable for cognitive and didactive purposes.
Introduction

In the wake of the COVID-19 pandemic, ICAME41, somewhat prophetically titled Language and Linguistics in a ComplexWorld, was shifted froma physical to a virtual conference. In light of a rapidly changing world, ICAME41 aimed at challenging the future of (corpus) linguistics, its approaches, questions of transfer, and the intersection between various fields and areas of expertise. By exploring new formats of presenting, sharing, and discussing research, the conference also provided a glimpse into one of many possible futures for the field and academia as a whole. While this introduction is devoted to these questions, the articles in this volume focus on the complexity and diversity of language and on analyzing it with increasingly sophisticated methods and ever-larger datasets.
VOCATIONAL COUNSELING IN THE CONTEXT OF EDUCATIONAL PHILOSOPHY

In our age, the importance of raising people with analytical, creative and thought. thoughts is increasing day by day The aim of the modern education is to educate people who can solve problems by centering the person, aim to learn, and are aware of their interests and abilities. Therefore, considering education with a researcher and entrepreneurial spirit, human natural abilities should be developed and conscious guidance should be made about the profession. On of the main purposes of education is to guide people to choose a profession that is suitable for their knowledge and skills by improving their natural abilities. Because the purpose of education is to guide and educate people in line with their own goals. Therefore, education means raising people, disciplining them, imposing values. In addition, another purpose of education is to include teaching activities that include science, art, technique, culture and elements. Therefore, the education that starts with a certain goal continues with information acquisition and vocational teaching activities. In short, if we need to draw the pulley of education it can be said that education is the perfection of man. As Immanuel Kant (1724-1804) expressed, man has a unique equipment in terms of self-education. In the study, the importance of vocational counseling in the context of educational philosophy was once again taken into consideration. During the professional orientation process, the counseling relationship, professional development and issues that should be considered in directing the person in the choice of profession are emphasized.
INTEGRATING MULTIPLE MODALITIES FOR ACCURATE EMOTION RECOGNITION: A DEEP LEARNING ENSEMBLE APPROACH

Recognizing emotions on multimodal datasets is a complex task, especially in fields such as Human-Computer Interaction (HCI).This study proposes a multimodal approach for emotion recognition using the MELD dataset, which includes audio, text, and facial features.However, only audio and text features are used in this research.To process the audio data, it is transformed into MFCC and used as input for a bidirectional LSTM that performs emotion classification.For the text data, BERT is used to tokenize the text, which is then fed into another bidirectional LSTM for emotion classification.The results from both modalities are combined using a voting ensemble method, and the model's performance is evaluated using F1-score and confusion matrices.The unimodal audio model achieved an F1-score of 41.69%, while the unimodal text model achieved 47.29%.The voting ensemble model achieved an F1-score of 47.47%.Additionally, this paper discusses potential future research that involves improving deep learning models and combining them with ensemble models to enhance emotion recognition on multimodal datasets.
TEXT –GRAPHICAL PASSWORD AUTHENTICATION SYSTEM

Graphical passwords are an option in contrast to alphanumeric passwords where clients click on pictures to verify themselves as opposed to type alphanumeric strings.We have created one such framework, called Pass Focuses, and assessed it with human clients.The consequences of the assessment were promising regarding memorability of the graphical secret key.In this review we grow our human elements testing by concentrating on two issues: the impact of resilience, or room for give and take, in tapping on the secret key focuses and the impact of the picture utilized in the secret word framework.In our resilience study, results show that exact memory for the secret key is emphatically decreased while utilizing a little resistance (10 х 10 pixels) around the client's secret key focuses.This might happen on the grounds that clients neglect to encode the secret word focuses in memory in the exact way that is important to recollect the secret key over a slip by of time.In our picture concentrate on we looked at client execution on four ordinary pictures.The outcomes demonstrate that there were not many massive contrasts in execution of the pictures.This primer outcome recommends that many pictures might uphold memorability in graphical secret key frameworks.
Organizational Learning and Private College Performance: The Role of Capabilities' Hierarchy

This study proposes a model of the influence of organizational learning on the performance of private universities (PTS) in Makassar City. This study collected data through a survey approach to 294 leaders of PTS. The analysis tool uses WarpPLS 7.0. The results of this study found that organizational learning can encourage dynamic abilities. However, organizational learning is not significant to substantive abilities. Thus the study found a new concept. However, this study reveals that organizational learning can significantly drive dynamic abilities and encourage substantive capabilities. The study also found that dynamic ability can significantly drive substantive ability and PTS performance. Favorable substantive ability can drive PTS performance. Finally, dynamic capabilities significantly drive substantive and performance capabilities. Therefore, this study confirmed the validity of the DCV theory in the PTS environment.
Pengembangan Sistem Pendukung Keputusan Penelusuran Minat Bakat Siswa SMP Dalam Memilih Jurusan di SMK Berbasis Web

The study aims at (1) designing the development of SPK (Decision Support System) of studens’ talent interests with web basis, (2) determining studens majors based on talents and interests, (3) designing the easier application, research population was the students of SMP who where about to graduate of students of SMK who were just accepted in the school. The SPK being built can determine the majors, learning styles, and personality of students based on the answers being questioned. Data colleting techniques used in this study were interview, literature review, and questionnaire. Data processing instruments of the study were structural equation modeling, black box testing, alpha, and beta testing.&#x0D; The results of the study reveal that the SPK of talents and interests with web basis can be designed and easier for the students in determining the majors at SMK because the SPK made had been tested fuctionality with very feasible category with the ttal percentage of 100%. Based on the usability test, this SPK is categorized as very good with the percentage of 100%. Based on the usability test, this SPK is categorized as very good with the percentage of 89.63%. Based on the result of SEM test by including various factors which were considered as influencing the saticfaction of SPK users, it is concluded that the factors of system quality, information quality, and interation quality influence the satisfaction of SPK users; wheres, the service quality has no influence of satisfaction to SPK users&#x0D; Keyword — decision support systems, majors in SMK, web applications, structural equation modeling.
Conclusion

As the core infrastructure, data center provides a strong platform support for cloud computing, and so on. Nevertheless, the rapid growth of its network scale leads to great challenges in network optimization.
Digital (r)evolution in the context of primary school education: The attitudes of the teachers and students of teacher education and pedagogy faculties

Revolutionary development of the global communication network has also been reflected on the electronic book as the most important product of digitalization, and a significant educational resource in the function of providing a stimulating learning environment. The authors examine teachers' experiences (N=1117) (a) in relation to the justification of using electronic books and the attitudes of teachers and students of teacher education and pedagogy faculties (N=214) in relation to (b) the perspective of using different formats of books and (c) the universal values of the book, regardless of the format in which it was published. The research results show that teachers' motivation for using electronic books in teaching is mostly intrinsic; that teachers and future teachers agree in their attitudes regarding the use of electronic and printed books in the context of text media future development, as well as in their attitudes related to the universal values of the book in general, regardless of advantages and disadvantages of the format in which it was designed. The developed critical attitude of teachers and future teachers towards the potential of technological development of the book in the function of active knowledge building is significant from the aspect of the functionality of modern media in the educational context, bearing in mind that the key role in designing the learning process with the use of modern technology actually belongs to the teacher.
Sistem Pakar Diagnosa Kerusakan Motor Suzuki Smash Titan 115 Cc Menggunakan Metode Forward Chaining

Expert system is a computer-based system that uses knowledge, facts, and reasoning techniques that adapts the methods of an expert in a particular field to solve complex problems using a computer as an aid and a certain programming language. This expert system is built to assist Suzuki motorcycle users and technicians in resolving problems, especially with the Smash Titan 115 cc motorcycle. Problems with the Smash Titan 115 cc motorcycle require expert knowledge to find a solution. The expert system is built using the Forward Chaining method, where the system makes forward-based reasoning based on existing symptoms, then diagnoses the damage of each symptom of a problem and the system will draw conclusions from these symptoms. After this expert system is designed and implemented using the CodeIgniter framework and using the MySQL database, the process of searching for problems can be done quickly and accurately. In using the software that is built, the menus are designed very simply so that users can easily use it. The knowledge representation technique used in this expert system is production rules with the Best-First Search technique.&#x0D; Expert System, Forward Chaining, Expert Knowledge, Best first search