Reviewerly/exHarmony huggingface dataset:
Áherslur á mannréttindi í skólastarfi: Innsýn í aðferðir Réttindaskólans

Áhersla á mannréttindi hefur á síðustu áratugum komið sterkar fram í menntastefnum vestrænna ríkja og er Ísland þar á meðal. Máttur menntunar er mikill, sér í lagi þegar tryggja þarf mannréttindi og mannúð í síbreytilegum heimi. Því er mikilvægt að menntakerfi leggi áherslu á að börn og ungmenni læri um réttindi sín, ábyrgð og skyldur sem er grunnur þess að lifa í samfélagi með öðrum. Með þetta að leiðarljósi varð þróunarverkefnið Réttindaskóli UNICEF til hér á landi árið 2016–2017. Tilgangur greinarinnar er í fyrsta lagi að rekja í sögulegu ljósi hvernig réttindi barna og ungmenna þróast í íslenskri menntalöggjöf og fá dýpri og víðari merkingu frá fyrstu löggjöfinni um fræðslu barna árið 1907 til þeirrar nýjustu árið 2008 um grunnskólastarf. Í öðru lagi að kynna niðurstöður úr fyrstu tilviksrannsókn hér á landi á Réttindaskólaverkefni UNICEF. Tekin voru þrjú viðtöl við skólafólk í tveimur Réttindaskólum um sýn þess á markmið, leiðir og gildi verkefnisins. Einnig var aflað gagna frá UNICEF um hugmyndafræði Réttindaskóla og af vefsíðum þeirra tveggja um áherslur skólanna. Fram kom að skólarnir nutu mikilvægs stuðnings UNICEF við innleiðingu Réttindaskólaverkefnisins. Samhliða hafi verkefnið verið þróað og aðlagað að ferlum sem fyrir voru í skólunum. Viðmælendum þótti vel hafa tekist til við að auka þekkingu og skilning nemenda á réttindum sínum og ábyrgð og verkefnið hafa stutt við áherslur núgildandi grunnskólalaga og aðalnámskrár. Tækifæri til þátttöku nemenda í skólastarfi hafi aukist, til dæmis með setu í réttindaráði og nemendafulltrúar lært að sækja lýðræðislegt umboð til annarra nemenda. Í hnotskurn má segja að Réttindaskólaverkefnið sé að mati viðmælenda gott veganesti fyrir nemendur í samtíð og framtíð. Það hafi stuðlað að framförum í skólastarfi með bættum skólabrag, samskiptum og aukinni samábyrgð. Það hafi einnig stutt við lýðræðislega starfshætti og tækifæri til að vinna með mannréttindi og aðrar grunnstoðir í skólasamfélaginu.
Digital Twin as a Product of the Information Society. New Opportunities for Research in the Field of Medical Radiology

Introduction. The development of mass communications and Internet access in Russia and the World as a prerequisite for digitalization. Information society. Knowledge society. Digital environment. Information space. The concept of digital twins. Unified system of identification and authentication (ESIA). Digital profile. Some prospects for improving the organization of medical research, including in the field of medical radiology, in the context of the development of medical information space.
The Effect of Indicators of Financial Discipline On Economic Growth in Iraq: A Standard Study Using ARDL Model for The Period (2004-2020)

Economic growth is one of the most important goals that countries around the world seek to achieve, and this study measures and analyzes the impact of fiscal discipline on economic growth during the period (2004-2020) using the Autoregressive Distributed Deceleration (ARDL) model. Furthermore, The results showed that the economic growth in Iraq has an inverse relationship with the indicators of financial discipline (deficit or surplus, public debt, public expenditure) except for the public revenue indicator, where it is linked with a direct relationship as it appears that there is a long-term equilibrium relationship, that is, there is a joint integration between the variables the focus of the study according to the border test (bounds test) through the error correction vector coefficient, as (1.03) of short-term errors are automatically corrected within a period of one year in order to reach equilibrium in the long term.
Sistem Informasi Akuntansi Pengelolaan Kas Berbasis Dekstop di Masjid Pusdai Jawa Barat

In recording cash, mosques are still based on semi-computers so it can result in inaccurate financial statements due to errors in data input, besides that storing archives or documents manually has many risks such as lost or damaged documents. This study aims to design a computerized cash management system so that all inputted data is stored in a database making data storage and management more efficient, and reporting can be done automatically and accurately. In designing a cash management accounting information system the author uses the waterfall development method starting with system analysis, system design, implementation, testing, and maintenance. The tools used in this design are Microsoft Visual Studio 2010 and Microsoft Access as databases. This research produces a system that can manage cash receipts and cash disbursements accurately and store transaction evidence into a database and make it easier to make reports.
Object Detection and Identification Using Deep Learning and OpenCV

Abstract: In recent years, deep learning has had a significant impact on “how the world is adjusting to artificial intelligence”. Region-based Convolutional Neural Networks (RCNN), Faster R-CNN, Single Shot Detector (SSD), and You Only Look Once (YOLO) are a few of the well-known object identification techniques. When speed is prioritized above accuracy, YOLO outperforms others, with Faster-RCNN and SSD having greater accuracy. In order to execute detection and tracking efficiently, deep learning blends SSD and Mobile Nets. This method detects objects effectively without sacrificing speed.
PHILOSOPHICAL VIEWS OF HUMANIOR APPROACHES TO DENTAL TREATMENT IN CHILDREN WITH DOWN SYNDROME

Children are a mandate from God Almighty, who are endowed with dignity and cannot be separated from the fulfillment of Human Rights (HAM). The right to optimal health for the community certainly applies similarly to a child, especially considering that children have an immature and immature immune system like adults. Not all children can be born with the healthy condition they should be. Lots of children are born in unhealthy conditions, namely those who experience disabilities both physically, socially, as well as mentally and intellectually. In addition to children who are born with disabilities, it is often found that children who are born normal but in the dynamics of their lives encounter obstacles or disturbances that cause them to become disabled. The condition of these disabled children by experts is referred to as Children with special needs, one of which is Down syndrome. The majority of children with Down syndrome do not get enough attention. This makes Down syndrome increasingly left behind by other normal children. Health workers should implement welfare for all children. Health becomes a quality service so that there are no gaps in it. This is in line with the school of philosophy which expects changes in the implementation of services to be better, of better quality and to provide optimal health. This study uses library research methods (library research). Library research is research conducted using literature (library), in the form of books, notes, or other reference sources.
An Effective Voxelization Method for LiDAR-based 3D Object Detection

LiDAR-based 3D object detection is crucial for intelligent vehicles to perceive the environment. Voxelization is an important method that can convert unstructured point clouds into structured tensors. However, for LiDARs with different resolutions, what voxel size to use remains to be studied. Therefore, this paper proposes a voxelization method for LiDAR-based 3D object detection. First, the point cloud distribution characteristics of LiDARs with different resolutions are analyzed. Then, a voxelization method adapted to LiDARs with varying resolutions for 3D object detection is proposed. Finally, models based on SECOND and Voxel R-CNN are built and the proposed voxelization method is added to more effectively utilize the point cloud information. Experiments on datasets show that the proposed voxelization method can improve the average precision of the 3D object detection models.
Application of decision tree regression in navigation satellite telemetry data modeling

In order to understand the working state of on orbit satellites, it is necessary to analyze the telemetry data. The fast-changing telemetry data is an important data to express the navigation service status of navigation satellite. Its analysis and modeling are helpful to mine the deep information of navigation telemetry data. A modeling method of on orbit navigation satellite fast-changing telemetry data based on decision tree regression is proposed. The model is used to predict the power measurements at frequency points. The results show that R2 value is greater than 0.96, and the error of prediction value is small. A fast-changing telemetry data model with good effect is established, which provides a possible scheme for the application of artificial intelligence in the analysis of fast-changing telemetry data.
Design of machine tool mechatronics numerical control system based on computer technology

CNC machine tools can process exquisite parts and complex parts, which are very practical for the machinery manufacturing industry. In recent years, with the development of computer technology, CNC machine tools have gradually developed to be controlled by computers. Computer-controlled CNC machine tools can effectively improve the quality and efficiency of production and improve the safety of industrial production. In this paper, a fully automatic integrated CNC machine tool system that can be controlled by a computer is established. This system has the function of automatic tool change of the manipulator with high safety, which improves the reliability of the machine tool system. It is more practical for business.
Effect of Spanish-Style Table Olive Processing on Fatty Acid Profile: A Compositional Data Analysis (CoDA) Approach

This manuscript considers that the composition of Manzanilla and Hojiblanca fats are compositional data (CoDa). Thus, the work applies CoDa analysis (CoDA) to investigate the effect of processing and packaging on the fatty acid profiles of these cultivars. To this aim, the values of the fat components in percentages were successively subjected to exploratory CoDA tools and, later, transformed into ilr (isometric log-ratio) coordinates in the Euclidean space, where they were subjected to the standard multivariate techniques. The results from the first approach (bar plots of geometric means, tetrahedral plots, compositional biplots, and balance dendrograms) showed that the effect of processing was limited while most of the variability among the fatty acid (FA) profiles was due to cultivars. The application of the standard multivariate methods (i.e., Canonical variates, Linear Discriminant Analysis (LDA), ANOVA/MANOVA with bootstrapping and n = 1000, and nested General Linear Model (GLM)) to the ilr coordinates transformed data, following Ward’s clustering or descending order of variances criteria, showed similar effects to the exploratory analysis but also showed that Hojiblanca was more sensitive to fat modifications than Manzanilla. On the contrary, associating GLM changes in ilr with fatty acids was not straightforward because of the complex deduction of some coordinates. Therefore, according to the CoDA, table olive fatty acid profiles are scarcely affected by Spanish-style processing compared with the differences between cultivars. This work has demonstrated that CoDA could be successfully applied to study the fatty acid profiles of olive fat and olive oils and may represent a model for the statistical analysis of other fats, with the advantage of applying appropriate statistical techniques and preventing misinterpretations.
ANALISIS KELAYAKAN ISI BUKU TEKS BAHASA INDONESIA TERBITAN ERLANGGA KELAS IX SMP/ MTS SEMESTER I

Textbooks are one of the academic needs of schools that cannot be separated from the existence of classes. The use of textbooks is based on the current curriculum so that there are no errors in understanding the content of the material. This study aims to analyze the feasibility of Indonesian language textbooks for class IX odd semester in Erlangga Books. The research method used is descriptive qualitative research. By using data collection techniques, namely the study of text documents and interviews. There are two sources of data used in this study, namely primary data and secondary data. The primary data used in this study were interviews with a teacher who teaches Indonesian subjects and six students at MTS Sirnamiskin. The secondary data used in this research is to use documents or Indonesian language textbooks with the title "Proficient in Indonesian for SMP/MTS Class IX". The place used in this study is located at MTS Sirnamiskin, which is located on Jalan KH. Wahid Hasyim 429-433, Bandung City, West Java. Based on the results of the research that has been done regarding the Indonesian language textbook published by Erlangga class IX SMP/MTS odd semester, it is appropriate to use it as mandatory reference material for students. This book is also in accordance with the provisions issued by the National Education Standards Agency (BSNP). In the content feasibility test, language feasibility, presentation feasibility and graphic feasibility in the book are appropriate.
A novel privacy protection scheme for internet of things based on blockchain and privacy set intersection technique

Abstract In the era of big data, an ocean of data generated by Internet of Things (IoT) devices will be analyzed and processed by cloud computing. However, outsourcing of data can lead to leakage of user privacy to those unreliable service providers. In this paper, we propose a novel privacy-preserving scheme for IoT device by employing privacy set intersection (PSI) and blockchain technique to achieve data privacy. First, a homomorphic encryption PSI technique based on 0-1 encoding is proposed, which well hides the set base to ensure data privacy. Second, combining blockchain structure and smart contract, the proposed scheme can improve the efficiency of data sharing by storing the shared data on a blockchain. Third, the security analysis shows that the scheme has extremely high control over the individual data and can ensure the security and privacy of the data. Finally, we compare the functionality with other relevant schemes and demonstrate that our scheme functions well with low communication and computational overhead.
The difficulties foreign students experience upon entering educational environment of Russian Universities (On the example of Saratov State University)

The article shows how Saratov State University, being a participant of the government educational program “Priority-2030”, works to increase the attractiveness and competitiveness of Russian higher education in the international market of educational services. Using the example of foreign students – citizens of Turkmenistan, the difficulties encountered by foreign students -young Turkmen are studied. The empirical basis of the article presents the interviews with the 3rd year students from Turkmenistan at Saratov State University in 2021–2022. The choice of respondents was determined by the fact that Turkmenistan occupies the first place in terms of the number of students coming to Saratov State University for more than a year. Nine in-depth interviews were conducted. The recruitment of informants was carried out by the “snowball method”. Analyzing the difficulties Turkmenistan students experience upon entering educational environment of the SSU three key discourses were identified: educational and cognitive, socio-cultural, and psychophysiological. It is concluded that the main problem that a young Turkman faces when entering a university is financial difficulties, for example, a delay in transferring money from parents, not enough money received, and therefore the need for part-time work to ensure a living wage. This circumstance affects the attendance of classes and interferes with language training, obtaining professional knowledge. Another significant difficulty for Turkmen students is the lack of trusting communication and assistance from local group mates as well as in obtaining psychological support and assistance from the teaching staff.
An Overview of Application of Fuzzy Planar Graph in Orbit Positioning for Satellite

Abstract: A graph is a convenient way of representing information involving relationship between objects. Now-a-days, Fuzzy graph plays the most important role in the research area due to its wide range of application. Fuzzy graph theory is of two subclasses, namely (i) Fuzzy multi-graph and (ii) Fuzzy planar graph. Fuzzy planar graph is a very important subclass of fuzzy graph. In this paper, the fuzzy planar graph is studied with its properties. Also in this paper, one of its application say, orbit positioning for satellites are discussed.
Efektivitas media Pembelajaran Macromedia Flash terhadap Hasil Belajar siswa pada materi bilangan bulat dan pecahan kelas VII

learning media serves to convey subject matter so that it is easily understood by students. The success of the learning process is the main thing that is coveted in carrying out education in schools. The research objective is whether the use of Macromedia flash learning media is effective to improve student learning outcomes. The research method uses a quantitative approach, with the type of experimental research, the results of the research are for the experimental class there is an increase in learning outcomes, after being given treatment, namely the application of macromedia flash learning media, before treatment 8 students got the lowest score of 20 and the highest score of 3 students was 55 , whereas after being given treatment the student scores were above average while the control class showed that there was no significant change in student learning outcomes in the control class, the control class was a class that did not use macromedia flash learning media, so the results were very different from the experimental class. Then macromedia flash is one of the effective media that must be applied by the teacher. During the teaching and learning process The success of the teaching and learning process is supported by various parties in it, both students and teachers
The effects of visual cues in an immersive virtual reality environment on adaptation to internal and external errors

When performing motor tasks, we improve performance by modifying future movements to correct for observed errors. The assigned source of the errors can affect many aspects of adaptation including its generalizability and the updating of internal models. Adaptation to errors assigned to internal sources (e.g., our arm) is often specific to the arm and are poorly generalized when acting with a different effector. Adaptation to errors assigned to external sources (e.g., the environment) on the other hand, is agnostic to the effector being used but may be specific to the environment. Since the cause of an error is often ambiguous, sensory cues can be used to estimate the likely source of the error. We developed a task in which motor errors could be assigned to internal or external sources. Participants made arm movements to roll a ball toward targets in a head-mounted virtual reality environment. We induced errors by either modifying the mapping between the arm movement and the initial movement of the ball, or by applying a change in the ball path only after the release of the ball. Additionally, we used informative visual cues to signal changes in the environment to increase external error attribution. Pilot data show visual cues can facilitate the assignment of errors to external sources. The visual cues can be dynamics of the ball movement or global environmental changes. External error attribution can in turn allow for rapid switching between motor memories.
Analysis of the main encryption systems and their applicability

Virtual work, e-commerce, digital health, distance, or virtual education grew exponentially thanks to the confinement due to the Covid-19 pandemic. As a result, the same happened with attacks and security incidents, caused by various circumstances. Personal data is generally the main target of hackers, this includes financial institutions. In 2020 alone, 12 known cybersecurity events occurred in Mexico that included institutions such as Condusef, SAT, Banxico, the secretary of public function, among others, in the last one personal data of public officials were violated and exposed(Riquelme, 2021). With the evolution of technology, attacks become increasingly sophisticated. However, one of the most used and effective systems to protect data is encryption that is related to computer security offers solutions to this problem since it is a discipline that addresses various techniques, applications and devices responsible for ensuring the integrity and privacy of the information of both the computer system and its users. This work seeks to explain the main encryption techniques currently used, the fundamental basis of its encryption process, the importance of the best-known standards in the computer age, the difference between symmetric encryption and asymmetric encryption, when it can be considered hybrid encryption and where they are commonly used.
Quantum key distribution performance analysis under different condition of boundary layer

With the substantial progress of terrestrial fiber-based quantum networks and satellite-based quantum nodes, airborne quantum key distribution (QKD) is now becoming a flexible bond between terrestrial fiber and satellite, which is an efficient solution to establish a mobile, on-demand and real-time coverage quantum network. However, the boundary layer (BL) normally adhere to the surface of the aircraft when its speed is higher than Mach 0.3. The BL would change local refractive index and energy flux density drastically, thus lowering the coupling efficiency and infidelity of quantum states. Here, we investigate the airborne QKD performance with the BL effects, which has been rarely mentioned in existing research. Through simulations and modeling, we present the relation between divergence angle and secure key rate. With the increase of flight speed v, relative flight altitude h and the shortest projection distance d, the key-rate curve is obviously jitter, and the QKD performance is continuously reduced. Simulation results show that, under several typical circumstances, the BL will affect the communicating distance, the transmission efficiency and the generation of secure key rate in varying degrees, which is helpful for future airborne experimental designs.
Oral Didactics in an Actional Approach: Manifesting Emotions and Involving the Limbic System in a Face-to-Face and in a Hybrid Context

In oral didactics, the nature of the interactions which are established among the members of the group grant a cognitive, socio-affective and behavioral dimension in order to implement collaborative tasks, linking conviviality and pragmatism. In collaborative distance learning, teachers and learners are able to share experiences as well as new IT tools, while multimodal and open approaches can facilitate exchanges among the participants who put pragmatic learning modes into practice. As a result, the promotion of new training requirements through the adoption of good educational practices, cultivates the knowledge of an action-centred creative potential. Therefore, acting and co-acting in a group’s face-to-face or even in a hybrid context becomes a new challenge for oral learning, since digital media can also condition the sensations but also the behavior of users, a fact which has consequences on the biological and neurological rhythm and psychological life of people involved in the learning process.