Reviewerly/exHarmony huggingface dataset:
Mathematical Models and Neural Networks for the Description and the Correction of Typical Distortions of Historical Manuscripts

Historical manuscripts are very often degraded by the seeping or transparency of the ink from the page opposite side. Suppressing the interfering text can be of great aid to philologists and paleographers who aim at interpreting the primary text, and nowadays also for the automatic analysis of the text. We formerly proposed a data model, which approximately describes this damage, to generate an artificial training set able to teach a shallow neural network how to classify pixels in clean or corrupted. This NN has proved to be effective in classifying manuscripts where the degradation can be also widely variable. In this paper, we modify the architecture of the NN to better account for ink saturation in text overlay areas, by including a specific class for these pixels. From the experiments, the improvement of the classification and then the restoration is significant.
평생교육의 관점에서 바라본 북한 이탈주민에 관한 연구 동향 분석

The purpose of this study is to identify and analyze the research trends related to North Korean defectors from 2000 to 2021 and to reconstruct the main words by area from the perspective of lifelong education to draw concrete directions. The results of the analysis showed that the literature research was the most followed by qualitative research and quantitative research. From the perspective of lifelong education, it was found that the concept of education of North Korean defectors is based on the educational experience in Hanawon rather than the educational experience in North Korea. In addition, most of the North Korean defectors learned information about Korean society before defecting from North Korea through media such as dramas and YouTube. The priority of North Korean defectors in Korean society is still about adaptation and settlement, and the survival of South Korea of North Korean defectors is a test of 'first unification' for all residents of North and South Korea.Therefore, Hanawon, the first gateway, suggested that institutional devices, that is, customized learning in the form of lifelong education, are needed to allow them to settle down and root in Korean society more stably along with existing educational contents and to continue their participation in learning programs in cooperation with community universities and related institutions after leaving the company. The representative direction of the research on North Korean defectors reconstructed from the perspective of lifelong education through this study can be defined as 'preparation of Korean society for unification'. Based on this, lifelong education needs to carry out a merging study with the residents of the two Koreas on the unification education, and the Ministry of Unification and its affiliated institutions, which are related ministries, propose that collaboration with lifelong education institutions can be carried out.
PSO–FWA: A New Hybrid Algorithm for Solving Nonlinear Equation Systems

Nature-inspired optimization algorithms have been proposed for solving hard optimization problems, including the optimization-based solution of difficult systems of nonlinear equations. While there is no perfect optimization algorithm, the hybridization of such metaheuristic optimization algorithms has produced positive results by enhancing their capabilities and reducing their weaknesses. This paper presents a novel hybridization of Particle Swarm Optimization and the Fireworks Algorithm for solving nonlinear equation systems. The experimental results obtained indicate that the proposed hybrid algorithm outperforms both Particle Swarm Optimization and the Fireworks Algorithm, as well as a previously developed hybridization of these algorithms.
Estrategias efectivas de autoaprendizaje que emplean alumnos nahuas e ngiguas de la Universidad Intercultural del Estado de Puebla (UIEP)

This article presents a pedagogical approach to the dynamics generated by indigenous students of the Intercultural University of the State of Puebla (UIEP) during classes and which functions as the basis of learning processes. The purpose was to identify effective self-learning strategies used by Ngigua and Nahua students. Investigation work was developed by triangulating empirical, theoretical, and philosophical aspects in the context of confinement caused by COVID 19. It was found that students generate and validate their knowledge within an intersubjective social dynamic that starts from a volitional act that converges in the unity of meaning and community. What starts from a strategy that has a basis in everyday life.
Factores que impactan la calidad de la educación a distancia en una Institución de Educación Superior

This research work was carried out in the city of Los Mochis, Sinaloa, Mexico where six higher education institutions stand out, three public and three private, one was chosen as the subject of study for the analysis of the problem of this research that describes the factors that impact the quality of distance education during the covid 19 pandemic. The focus of this research was quantitative and was approached in a descriptive-evaluative manner; The study included 20 professors who are members of the administrative economics academy of the institution of higher education (IES). The primary data collection technique was through the application of surveys, in the instrument Likert-type items were used, which after its application was analyzed with the SPSS statistical package.
Desafíos de la educación a distancia en la contingencia covid-19 una experiencia con docentes de educación primaria

This research reports the results of an interview applied to primary school teachers who are offering distance education in the wake of the covid-19 pandemic, the information was sent by WhatsApp to 8 teachers. For the elaboration of the instrument, the aim was to define the objective: to know the challenges that the primary level teachers of the Francisco González Bocanegra Primary School, belonging to school zone 055, located in the Mochicahui Town Community, are facing. Municipality of the Fuerte, Sinaloa, once the suspension of face-to-face activities by distance activities was declared, a semi-structured interview of 11 questions was designed from the above, of which 6 are closed multiple-choice answers in which more could be selected of an alternative, as well as 5 open questions. For the preparation of the research, the responses of 8 respondents were considered, being 100% of the interviewed population. Data on sex and age are presented, how many male and female students do you have in your group; type of problems they are facing to transform your teaching activities; From his perspective, what kind of problems are your students facing to continue the distance classes; percentage of students who responded to distance activities; the type of technological resources used for distance learning activities; the technological resources that they are interested in learning to use for their distance learning activities; the type of institutional support they require to carry out classes to distance; Through which medium would they like to receive information, followed by the group serving and a proposal to the institution to support distance teaching during the contingency.
La educación de calidad en el programa educativo de derecho de la Universidad Autónoma Indígena de México ante el COVID-19

The Indigenous Autonomous University of Mexico, located in Sinaloa, receives indigenous students from all the states of the republic, it has a student dormitory and a dining room free for them. At UAIM students have access to library services and computer centers, in addition to wireless internet, so they do not have connectivity problems. However, when confinement began and they retired to their homes, the complete lack of connectivity for some was evident, because there is no internet service nearby or poor service. The objective of this article is to identify the main difficulties faced by students according to the teachers to maintain quality education in the virtual classrooms and propose possible strategies to replace content for the return. face-to-face. This essay was done through the biographical narrative methodology with a report on the experiences of 8 professors of the Law degree at the Autonomous Indigenous University of Mexico who for two years worked in the Classroom at Home with their students, their strategies and frustrations to complete course after course. Monthly reports issued by the Coordination of the school were consulted. It is concluded that a great effort was made by all the actors involved for the preparation of the students, however, the distance, the times and the deficiencies, but above all the lack of formal preparation of the teachers in the use of the educational platforms, but above all due to the extreme flexibility during the pandemic, the quality decreased a lot and did not allow more than 80% of the expected learning to be achieved among students and that as teachers they must be aware of it, but above all do it know the students.
Percepción de la educación virtual en tiempos de COVID 19, de los estudiantes de la licenciatura en administración de empresas de la facultad de ciencias económicas y administrativas extensión Sinaloa de Leyva

The pandemic affected the education sector worldwide causing the suspension of classes at all levels, so schools implemented various strategies to facilitate the teaching and learning process to continue with classes, while at the same time safeguarding the health of all; at the beginning of online education, teachers used various means of communication to be in contact with students and deliver virtual sessions, among them the Moodle platform that the university made available under the name of Aula Virtual UAS, also used Zoom, Google Classroom, Google Meet, WhatsApp and email. This article aims to analyze the perception of virtual education in times of COVID 19, of the students of the Bachelor's Degree in Business Administration of the Faculty of Economics and Administrative Sciences Sinaloa de Leyva Extension of the Autonomous University of Sinaloa (UAS). The method used in the research was the mixed method that involves a quantitative and qualitative process. The approach of the study is descriptive as it seeks to collect information on what happened during the pandemic in the field of virtual education to detail what happened, the structured interview and the questionnaire were used to collect the information. The results of the study show that 100% of the students had not previously received virtual classes, and their feelings were disconcerted by this modality, as well as exposed the inequality in the conditions of low-income students, who were the most affected. This study presents the impact it had on the institution, demonstrating that one of the drawbacks was the dropout rate and the number of new students since the number of new students dropped significantly from the start date of the confinement. As for the school's management of the crisis, it took various actions to improve communication between academic and administrative staff during the pandemic and also implemented strategies to detect students who did not enter the virtual platform, providing follow-up and attention to reduce the dropout rate.
Implications of Human-Computer Interaction Research

research-article Share on Implications of Human-Computer Interaction Research Authors: Niels van Berkel Aalborg University Aalborg UniversityView Profile , Kasper Hornbæk University of Copenhagen University of CopenhagenView Profile Authors Info & Claims InteractionsVolume 30Issue 4July - August 2023pp 50–55https://doi.org/10.1145/3600103Published:28 June 2023Publication History 0citation395DownloadsMetricsTotal Citations0Total Downloads395Last 12 Months395Last 6 weeks395 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Protecting Intellectual Property Rights for Artistic and Literary Works Created by Artificial Intelligence

Artificial intelligence entities are a manifestation of human creativity, but they themselves can also act as a source of creativity when they produce literary and artistic works that were previously thought to be achievable only by humans, such as creating paintings, composing poetry, or music pieces. This raises the question of the extent to which these works meet the innovation criteria necessary for legal protection and the resulting moral and financial rights. Assuming that the innovation criteria are met, can intellectual property rights be attributed to artificial intelligence, even though these rights are reserved only for legal persons?
Agile Programs Need Agile Reviews

ABSTRACT Current technical oversight approaches used for government programs (for example, stage‐gate reviews) are not agile — their expectations are not aligned with agile development cadences, and they are not adequately responsive to continuous unpredictable change. This article explores ways to provide insight and responsive forward looking actionable guidance for agile projects in the context of government and defense programs. It proposes a general oversight approach that produces minimal drag and disruption and keeps pace with agile product development.
Multiview intelligent networking based on the genetic evolution algorithm for precise 3D measurements

&lt;abstract&gt; &lt;p&gt;The use of multi-visual network 3D measurements is increasing; however, finding ways to apply low-cost industrial cameras to achieve intelligent networking and efficient measurement is a key problem that has not been fully solved. In this paper, the multivision stereo vision 3D measurement principle and multivision networking process constraints are analyzed in depth, and an intelligent networking method based on the genetic evolution algorithm (GEA) is proposed. The genetic operation is improved, and the fitness function is dynamically calibrated. Based on the visual sphere model, the best observation distance is assigned as the radius of the visual sphere, and the required constraints are fused to establish an intelligent networking design of the centering multivision. A simulation and experiment show that the proposed algorithm is widely feasible, and its measurement accuracy meets the requirements of the industrial field. Our multiview intelligent networking algorithms and methods provide solid theoretical and technical support for low-cost and efficient on-site 3D measurements of industrial structures.&lt;/p&gt; &lt;/abstract&gt;
Applying Agility for Sustainable Security

ABSTRACT Systems engineering faces ongoing challenges due to the pace of change in technology and needs as well as the complexity, resilience, and adaptability demanded of solutions. System security needs and challenges are a prominent factor in the increasing demands placed on solutions and the systems engineers who design and develop them. The adoption of program level agile execution is one strategy for addressing these escalating challenges. In this article we describe how the broadly adopted technical processes from the ISO/IEEE/IEC 15288:2015 standard can be executed using agile methods to realize a large complex solution. In addition, we provide specific recommendations for executing these processes in a manner that enables systems to be sustainably secure – that is, to retain the desired level of security throughout the life cycle.
A COUNTEREXAMPLE RELATED TO THE NAVIER-STOKES PROBLEM

It is proved that the solution to the Navier-Stokes problem (NSP) in the whole space does not exist if the smooth rapidly decaying data are not equal to zero identically. This solves the millennium problem concerning the NSP. It also proves that the NSP is contradictory.
Deduction Theorem in Congruential Modal Logics

We present an algebraic proof of the theorem stating that there are continuum many axiomatic extensions of global consequence associated with modal system E that do not admit the local deduction detachment theorem. We also prove that all these logics lack the finite frame property and have exactly three proper axiomatic extensions, each of which admits the local deduction detachment theorem.
Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning is a comprehensive discourse on the fundamental principles and concepts. This book is primarily intended for the undergraduate and postgraduate students of computer science and engineering, this text bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence and machine learning.
Constituency Parsing with Spines and Attachments

We propose a hybrid representation of syntactic structures, combining constituency and dependency information. The headed constituency trees that we use offer the advantages of both those approaches to representing syntactic relations within a sentence, with a focus on consistency between them. Based on this representation, we introduce a new constituency parsing technique capable of handling discontinuous structures. The presented approach is centred around head paths in the constituency tree that we refer to as spines and the attachments between them. Our architecture leverages a dependency parser and a large BERT model and achieves 95.96% F1 score on a dataset where $$\approx $$ 10% of trees contain discontinuities.
Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs

Out-of-distribution (OoD) detection is one of the challenges for deep networks used for image recognition. Although recent works have proposed several state-of-the-art methods of OoD detection, no clear recommendation exists as to which of the methods is inherently best. Our studies and recent results suggest that there is no universally best OoD detector, as performance depends on the in-distribution (ID) and OoD benchmark datasets. This leaves ML practitioners with an unsolvable problem - which OoD methods should be used in real-life applications where limited knowledge is available on the structure of ID and OoD data. To address this problem, we propose a novel, ensemble-based OoD detector that combines outlierness scores from different categories: prediction score-based, (Mahalanobis) distance-based, and density-based. We showed that our method consistently outperforms individual SoTA algorithms in the task of (i) the detection of OoD samples and (ii) the detection of adversarial examples generated by a variety of attacks (including CW, DeepFool, FGSM, OnePixel, etc.). Adversarial attacks commonly rely on the specific technique of CNN feature extraction (GAP - global average pooling). We found that detecting adversarial examples as OoD significantly improves if we also ensemble over different feature extraction methods(such as GAP, cross-dimensional weighting (CroW), and layer-concatenated GAP). Our method can be readily applied with popular DNN architectures and does not require additional representation retraining for OoD detection (All results are fully reproducible, the source code is available at https://github.com/twalkowiak/WNN-OOD ).
A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference

Early exit, as an effective method to accelerate pre-trained language models, has recently attracted much attention in the field of natural language processing. However, existing early exit methods are only suitable for low acceleration ratios due to two reasons: (1) The shallow classifiers in the model lack semantic information. (2) Exit decisions in the intermediate layers are unreliable. To address the above issues, we propose a Contrastive self-distillation BERT with kernel alignment-based inference (CsdBERT), which aims to let shallow classifiers learn deep semantic knowledge to make comprehensive predictions. Specifically, we classify the early exit classifiers into teachers and students based on classification loss to distinguish the representation ability of the classifiers. Firstly, we present a contrastive learning approach between teacher and student classifiers to maintain the consistency of class similarity between them. Then, we introduce a self-distillation strategy between these two kinds of classifiers to solidify learned knowledge and accumulate new knowledge. Finally, we design a kernel alignment-based exit mechanism to identify samples of different difficulty for accelerating BERT inference. Experimental results on the GLUE and ELUE benchmarks show that CsdBERT not only achieves state-of-the-art performance, but also maintains $$95\%$$ performance at $$4\times $$ speed.
Book Sources of the Text of Ivan Bunin’s Early Works

This article presents the first attempt to shed light on an important source study issue: the degree of Ivan Bunin’s participation in the preparation of book editions of his early works of 1887–1902. In the light of the work on the first academic Complete Works and Letters of Ivan Bunin, it is necessary to investigate this problem in its own right in order to determine which editions are ‘authorial’ and thus can be considered sources for the textual work with the writer’s early works, and which editions are not. Drawing on all the known evidence (correspondence, publishing contracts and agreements, biographical data of the writer), we have examined in detail the history of the publication of several books by Bunin (poetry and prose collections). The degree of N. D. Teleshov’s participation in the preparation for the publication of two books by Bunin was estimated (proofreading and signing the book into print). Non-author’s book editions of Bunin’s works, to which the author had no relation whatsoever, have been identified (therefore, they cannot be sources for the scholarly (critical) publication of the writer’s works).
On the Study of I.A. Krylov’s Fables in China

I.A. Krylov’s fables have been popular in China for a long time; they are often translated and published; new translations are constantly appearing, but research papers on his fables in China are not very numerous, yet. The first of them appeared in 1957, and at present, there are about 90 publications (not all of them are scholarly). Our article describes the history of Krylov’s study in China, names the most significant and interesting publications, examines various aspects of the study and popularization of his work in the studies by Chinese authors, notes trends characteristic of different periods associated with changes in politics and ideology, as well as with the development of humanities and literature in China.