Reviewerly/exHarmony huggingface dataset:
CIFT: Multi-Modal Image Matching Based on Construction-Invariant Feature Transform

With the continuous development of remote sensing technology, the variety of new remote sensing sensors is increasing day by day. At the same time, the single-mode remote sensing image is increasingly difficult to meet the requirements of geological analysis due to its single imaging band. Therefore, the comprehensive application of multi-source remote sensing image has become a research hotspot in the field of remote sensing. Image registration is the prerequisite for the comprehensive application of multi-mode remote sensing image, and the accuracy of image registration directly affects the accuracy of subsequent data analysis results. However, due to the different imaging bands and imaging mechanisms of different sensors, there are large radiation differences between the registration image pairs, and they are affected by noise. To solve this problem, this paper proposes a multimodal image registration method based on the Construction-invariant Feature Transform (CIFT). To reduce the effect of noise on the phase consistency model, anisotropic filtering is applied to the registration image pairs, which can smooth the noise while preserving the structural information of the image. Then, the structural information of the image is extracted using phase consistency, and the high repetition rate feature points are extracted from the phase consistency map. Based on the phase consistency map, the maximum gradient index map (MGIM) is constructed for feature description, which has good robustness against radiation distortion. In the experimental stage, six different remote sensing images including optical, SAR, depth, lidar, infrared and day and night were used to test CIFT and three comparison algorithms (OS-SIFT, SAR-SIFT and PSO-SIFT). Experimental results show that the CIFT method is the only method that can successfully register 6 types of multimodal images, and the registration accuracy is within 3 pixels, and the registration effect is good.
Unsupervised Multi-Source-Free Domain Adaptation for High-Resolution Remote Sensing Scene Classification

The existing studies on cross-domain classification of remote sensing scenes face challenges of low classification accuracy and strong dependence on source domain samples, particularly in complex urban scenes. In this paper, we proposed an unsupervised multi-source domain adaptation method for cross-domain classification of high-resolution remote sensing image scenes. Our method starts from extracting source domain featuresusing Swin Transformer as the backbone. We then used a cross-domain classification loss to train the target domain model. The loss consists of weighted information maximization and pseudo-labeling loss. The weighted information maximization loss is used to obtain the source domain feature distributions from the source domain model and combine multiple source domain models, while the pseudo-labeling loss is used to further align the feature distributions of the target and source domains. Our method can fully utilize the existing source domain samples to achieve effective classification of the target domain, while avoiding over-reliance on source domain data. We conducted multiple cross-domain classification experiments on four publicly available remote sensing scene classification datasets (AID, NWPU- RESISC45, U C Merced, and WHU-RS19) as well as the Fuzhou GF-2 dataset. The experimental results show that our proposed method achieves satisfactory cross-domain classification results for remote sensing scenes and remains applicable in complex urban scenes.
Research(er) assessment that considers open science

Research assessment practices that largely rely on publication-driven assessments of research(ers) are slowly running out of steam. A remnant of a science system that is largely inward-focused and output-oriented, these assessments paint a rather monochrome picture of science that is not fit for today’s developments that reconfigure the relationship between science and society.
The Relationship Between Young Adults' Internet Skills and their Satisfaction with Life and Career

In the digital age, the digital and internet skills impact quality of life in various ways. The aim of this study is to examine, whether satisfaction with life and career, as well as related future expectations, are associated with different dimensions of internet skills. An online questionnaire survey was conducted in four countries, Czech Republic, Slovakia, Hungary and Poland involving 1907 respondents, who are maximum 31 years old and have at least one diploma from one of the four countries examined. Measuring digital skills, the Internet Skill Scale is used and satisfaction with life is measured on a 10-point scale using the single-stem Satisfaction with Life Scale. Current satisfaction with carrier is measured on a five-point scale. Using these two measurement tools, participants' expected satisfaction 10 years later is also assessed. The relationships are analyzed using ordered logistic regression and linear regression, and the appropriate method is selected and results are reported based on the diagnostic test outcomes. Our findings indicate that internet skills are not significantly associated with current satisfaction with life. However, respondents with better internet skills have a more positive future outlook in terms of both life and career satisfaction. For career satisfaction, internet skills are already associated with higher present satisfaction. Our results provide insights into the associations between internet skills and satisfaction with life and career. Further research is needed to explore the impact of internet skills on satisfaction, employing more comprehensive scales for measuring different dimensions of satisfaction.
Pengabdian Masyarakat dengan Meningkatkan Minat Belajar pada Anak SDN 02 Babakanraden Melalui Metode Pembelajaran Kuis Interaktif

Community service is intended so that childrens can be independent in everyday learning and can increase their interest in learning. The methods used are: 1) learning assistance, 2) quiz, 3) test/practice questions, and 4) interaction/question and answer. The results of this activity shows that children are comfortable, increasing their intention to study and happy when learning, both with learning materials, subjects, or with quiz interactive learning methods.
An Integrated Framework for Selecting Best Cloud Service Provider with Multi-Criteria Decision Making Methodology

Choosing a cloud service provider is an essential choice for businesses looking to take advantage of cloud computing. A review of the most important considerations when selecting a cloud service provider is given in this study. Several criteria are considered when evaluating cloud service providers: performance and dependability, security and compliance, scalability and flexibility, cost and pricing, service and support, compliance and data location, integration and interoperability, vendor lock-in, reputation and references, and future roadmap and innovation. Organizations may choose a provider that satisfies their unique requirements, fits with their business goals, and guarantees a safe and effective cloud environment by carefully evaluating these factors. A well-chosen cloud service provider may improve security, promote scalability, encourage innovation, and increase business operational efficiency. We used the multi-criteria decision-making (MCDM) methodology to rank the criteria and select the best cloud service provider. We used the VIKOR method as an MCDM methodology to compute the criteria weights and rank the alternatives. We show that performance is the best criterion. We analysed changes in the parameters of the VIKOR method to show different ranks. We conclude the results are stable.
Historical forms of the development of pedagogical skills for the purposes of sustainable development

Since a student's higher education includes not only academic, but also non-academic activities, the scientific society of students, postgraduates, doctoral students and young scientists of the university can become a modern space, forms the values of academic integrity. Particular attention should be paid to so-called task outsourcing, which has gained popularity recently and is a common commercial activity in the field of education.
Current issues of the development of education: digitalization, modernization, answers to external challenges

To ensure a high level of educational services, the transformation of higher education institutions for learning in the digital age, the creation of innovative learning environments, the International Society of Technologies in Education (ISTE) has developed appropriate standards. ISTE standards are in fact a roadmap for bold, innovative teachers and administration, which will significantly and effectively integrate technology into the educational process, make it innovative, accessible, open.
Unlocking the frontiers of Scientometrics: CWTS Summer School 2022

The 2022 CWTS Summer School provided a thorough introduction to scientometrics. First, we defined scientometrics. We then discussed major scientometric data sources, their strengths and limitations, including Web of Science, Scopus, and Dimensions as well as explored cutting edge tools available to scientometricians, including Elsevier’s International Center for the Study of Research Lab (ICSR) and Dimensions on Google Big Query.
Education as a returnable investment for both individuals and the whole society

The latest analyses done by the OECD based on many years of experience show very clearly that education plays an important role in economic growth. It has been proved that the last one year of education plus results in an annual production increase of 4–7 per cent per person. It means that raising the share of university educated people in a society is one of the essential conditions for its prosperity even at the cost of introducing tuition fees.
Why 'blah blah blah' is the best test data title

Agile best practices, thought leadership collective impact impact investing to families. And equal opportunity vibrant, the, storytelling synergy metadata matters B-corp unprecedented challenge. Venture philanthropy cultivate impact, state of play; white paper collaborative consumption entrepreneur collaborative cities inclusive. Parse empower communities movements targeted; radical; social enterprise issue outcomes big data venture philanthropy.
Why 'blah blah blah dah' is the second best test data title

Agile best practices, thought leadership collective impact impact investing to families. And equal opportunity vibrant, the, storytelling synergy metadata matters B-corp unprecedented challenge. Venture philanthropy cultivate impact, state of play; white paper collaborative consumption entrepreneur collaborative cities inclusive. Parse empower communities movements targeted; radical; social enterprise issue outcomes big data venture philanthropy.
Make maps of research interactive, detailed and open!

Bibliometric maps have been created for decades to provide overview of research and to make it possible for researchers to study different aspects of the research landscape, such as collaboration patterns, structure of research fields and citation relations. Several tools have been created that make it easy to create maps from bibliographic records imported from different data sources. Using these tools, maps can be created without any coding.
Cu manualele RLS în sala de curs. Articolul definit. Probleme de abordare

As the definite article in Romanian is of major importance in communication, this study focuses on how it is presented in Romanian textbooks for foreign learners, including Italian students. In the first part of the text I approach the definite article from a theoretical standpoint. I deliver my findings in tables so that the distinctions between various textbooks will be easy to follow. In the second part I employ an applied approach as I am interested in commenting on foreign students’ errors in their process of learning Romanian, and in proposing a series of exercises which may help them understand the correct usage of Romanian noun phrases in which definite and indefinite articles occur. I reach the conclusion that it is imperative: to present grammatical information gradually, from simple to complex issues; to explain both the similarities and the differences between Romanian (foreign language) and the students’ native language (Italian), by offering students contrastive explanations; and to create exercises in which noun phrases are put in contexts thus underlining the definite article’s functionality in an effective and correct manner.
FORMATION OF STUDENTS' COMPOTENCE IN HIGHER EDUCATION INSTITUTIONS THROUGH THE TEACHING OF WORKS BY CH.AITMATOVA

This article describes the importance of studying a work of art in the formation of students ' competencies in higher education in accordance with the requirements of modern education. Offered in the curriculum for a specific problem solution Ch.Aitmatov's works speak about various themes, subtexts, symbols and ideas of the author. Each student should accept the problem and, through their personal understanding, invite students to use the work of art as a means of stimulating themselves to learn . He carries out a scientific and theoretical analysis of the place of this discipline in the pedagogical process in order to realize the development of the student's established competencies and the ability to use them. The science of Pedagogy and pedagogical psychology note that in order to achieve the desired result in accordance with the set goal in education, training, the most important didactic condition, controversial, is the creation of students ' interest in a given topic.
Study of Facial Index in Andhra Pradesh Population

130 patients (65 males and 65 females) facial Index of adults aged between 18 to 25 Andhra Pradeshpopulations were studied. The maximum facial height divided with maximum Breath of zygomatic archand multiplied with 100.The instruments used for measurement were spreading caliper and sliding caliper.The mean value of facial index in adult males was 91.5cm (SD ±05) and in females 88cm (SD ±0.3) + testvalue was 8.2 and statistically highly significant (P&lt;0.01) The Obtained Facial Index was classificationsleptoproscopic (In males 88 to 92.9 and in females 85 to 89.9.) This study of facial Index is quite useful tooral and maxillo facial surgeon to differentiate from congenital, under developed or post traumatized facialindex, moreover this facial index has anthropological and medico –legal importance.
Using Instrumental Mechanisms to Support Humanistic Goals: The Case of Two Intelligent Personal Assistants

Calls have been made for information systems to go beyond supporting the instrumental outcomes traditionally associated with business imperatives to foster more humanistic outcomes. This study explores the mechanisms used by two intelligent personal assistants (IPAs) to promote humanistic goals such as pro-social behaviour. We identify four key mechanisms through which the IPAs support humanistic goals and draw on humanistic management literature to identify the humanistic goals supported. The mechanisms are (1) humanistic framing of analytics and goals, (2) persuasion, (3) automation of humanistic actions, and (4) anchoring humanistic goals to instrumental outcomes. The study raises issues about the moral implications of instrumentalising humanistic outcomes and suggests a need for theory to understand the role of Human-AI interaction in promoting humanistic outcomes. We propose a need for investigations into how and whether human-AI interactions can foster authentic humanistic outcomes in practice.
Exploratory Factorial Model of Knowledge in the era of Covid-19

– Grosso modo, knowledge networks are explained from a neural network in which degrees of learning are established, considering the differences between the input layer, the intermediate or hidden layer and the output layer. A non-experimental, cross-sectional and exploratory study was carried out with a non-probabilistic selection of 300 students, managers and teachers from a public university in central Mexico. The results show a factorial asymmetry of one input layer unit for three output layer units, suggesting that there is a significant degree of learning around the knowledge network. However, there are areas of opportunity around the hidden layer, since its units reveal information processing that reduces the uncertainty of the input layer and amplifies the knowledge of the output layer.
Soglie dell'impermanenza

The article focuses on the relevance of space in Antonella Anedda's work, understood as an experience of openness to reality and history, as well as loss of protection and guarantees. It is then highlighted how the author's poetics of space can be usefully placed in dialogue with Benjamin's reflection in the Passages on "threshold experiences". Subsequently, the article aims to show the peculiarity of the reception by Anedda of the German-speaking poet Paul Celan, in an ethical rather than an aesthetic or merely existential key, starting precisely from a proximity regarding the relationship between the poetic word and "threshold words", between silence and the need to speak (and testify), in both authors.
Application of Machine Learning to GNSS Data Collected by Smartphone

Trends showing increase in the number of mobile device users, as well as the number of tourists, imply that more people rely on their smartphones when navigating in a new environment. Based on these facts, the idea for this experimental research appeared. That idea is applying the process of machine learning, more precisely, the implementation of a neural network, to investigate the possibility of improving the accuracy of smartphone navigation. The achieved results indicate that machine learning algorithms (neural networks) are a powerful tool that can also be applied to GNSS data collected by a smartphone device, in order to improve accuracy. Based on the collected data in the field, preprocessing and machine learning process, it is concluded that it is possible to improve the accuracy of mobile device navigation by up to 50%.
Study the variation in blood cell counts in patients with moderate to severe COVID-19 infection

The current study aimed to evaluate some immune variables in COVID-19 patients for chronic and acute conditions, as the study included the collection of (120) blood samples for individualssuspected of having respiratory distress syndrome and of both sexes and a age ranging from 29 years to 60 years for a period from 15/12/2021 to 20/7/2022 from a hospital Nineveh AlAhly and Ibn Sina Governmental Hospital. The samples recorded in the study after the confirmation of the diagnosis of COVID-19 were divided into two groups, the first groupincluded (25) patients withchronic respiratory distress syndrome who are in the intensive care unit and need Ventilator support, the second group included (25) patients who suffer from moderate symptoms and the control sample included (25) blood samples for healthy individuals. Through the study, some immune variables of the study sample were evaluated, which included the total numbers of white blood cells, the absolute numbers of neutrophil, lymphatic, mononucleus, acidophilic cells.
Advanced Foreign Technologies as a Means of Increasing Efficiency in Classroom and Extracurricular Language Classes

in the article, the implementation of educational content focused on personal development, the need to introduce advanced technologies into the educational process requires ensuring a balance between educational content and its purpose.
The role of recreational activities in achieving mental motivation among students of the College of Basic Education in Maysan

The aim of the research is to identify the role of recreation and recreational activities in achieving mental motivation among students of the College of Basic Education and mental motivation among students of the College of Basic Education, and the researcher used the descriptive approach to suit the nature of the research The researcher built a measure of the role of recreational activities in achieving mental )2023/2022( motivation and presented it to the experts. The researcher used the appropriate statistical methods. In the third chapter, the researcher presented and analyzed the results and discussed them from the use of their tables, and then the researcher wrote the conclusions, including that recreational activities have a role In achieving the mental motivation of college students, and this is a positive indicator for students and motivates them to think and stimulate their mental abilities, which makes them reveal their capabilities, capabilities and latent mental abilities. And rewarding students who contribute to distinguished creative recreational activities
THE DIGITAL COMPETENCE OF FUTURE SOCIAL WORKERS: SELF-ASSESSMENT

In 2022, a study was conducted to evaluate the digital competence of fourth year students pursuingdegrees in "Social Activities" at the Universit y “Neofit Rilski” of Blagoevgrad, both in full time and part time studymodes. The research encompassed a cohort of 30 students and aimed to gauge their digital proficiency based on selfassessment. This assessment relied on the Digital Competence Self Ass essment Matrix, aligned with the EuropeanDigital Competence Framework for Citizens ( which encompasses five core domains: Information andData literacy, Communication and Collaboration, Digital content creation, Safety/security, and Problem solvi ng.Resultsfrom the self assessment revealed that 55% of the students consider ed themselves proficient at a core levelin the first area of competence (Information and Data literacy), while 30% rated themselves at a cross functionallevel, and 15% assessed themselves as functional. Notably, 90% of the students could store and retrie ve digital files,use search engines, and apply filters when searching for information. However, only 25% used cloud services tostore data.Inthe second area of competence (Digital content creation), a mere 15% of respondents rated themselves asprofessionally competent, underscoring its significance in their future professional pr actice. The study indicated thenecessity for students to acquire skills in content creation, programming, and multimedia element integration,especially in the context of social media.Inthe third area (Communication and Collaboration), all students exhibited proficiency in basic digitalcommunication tools like mobile phones and e mail. However, only 25% considered themselves functionally adept inonline communication, highlighting the importance of digital communication skills in social work.Concerningthe fourth area (Problem solving), 55% of students assessed their proficiency as core, while 35% ratedthemselves as cross functional, and only 10% as functio nal. This underlines the need for further development ofproblem solving skills related to digital technologies.Thefifth and final area (Safety/ revealed that most students understood the importance of online privacy buthad limited skills in shaping their digital identity and monitoring their online footprint. Enhancing d igitalcompetence emerged as a crucial need for future social workers to navigate online risks and protect clients fromabuse.The study underscores the necessity of integrating digital competence into social work curricula. It advocates foradditional lectures, seminars, workshops, and internships to expand students' digital skillse t. In the digital age, socialworkers must improve their digital competencies to effectively communicate, advocate for marginalized groups, andprovide efficient social services. Developing these competencies within the educational framework is essential f orthe application of information and communication technologies in addressing the challenges of digital social work,ultimately promoting social equality and safeguarding clients in an increasingly digital world.