Reviewerly/exHarmony huggingface dataset:
THE IMPACT OF MOTIVATION ON STUDENTS' BEHAVIOR AND LEARNING PROCESS

Motivation should be regarded in the learning process as a very important element. The motivated student has the inner capacity to learn, discover and expand on skills, improve academic performance and adapt to the requirements of the studying environment. Contextual factors such as high school members' and psychological senses may also be important for student’s participation, encouragement and efficient learning. In this research, we aim to explore how the elements of motivation may affect and correlate towards the student’s behaviour in the education environment which also affects the sense of educative association and inner personal motivation. The article uses secondary existing resources in order to depict the structural models on the impacts of negative and positive senses of motivation on students’ behaviour and its emotional belongings towards intrinsically inspired and perceived learning. In turn, such factors as intrinsic motivation affects perceived learning positively and corresponds directly to the behaviour in the entire process of acquisition.
Text and Data Mining in the EU ‘Acquis Communautaire’ Tinkering with TDM & Digital Legal Deposit

Text and Data Mining (hereinafter, TDM) issue for the purpose of scientific research or for any other purpose which is included in the provisions of the new EU Directive on Copyright in the Digital Single Market (hereinafter, DSM). TDM is a term that includes Web harvesting and Web Archiving activities. Web harvesting and archiving pertains to the processes of collecting from the web and archiving of works that reside on the Web. In the following analysis we will elaborate briefly upon provisions in EU Copyright law which were discussed during the proposal for a new Directive on Copyright in the DSM as well as provisions which are included in the text of art.3 and art.4 of the new Directive 2019/790/EU per TDM. In addition, the following analysis presents legislation in very few EU Member States which pertains to TDM and preceded the rulings of Directive 2019/790/EU. Digital legal deposit remarkable examples from EU Member States are also presented in this paper. The example of Australia is also presented below hereto because it is one of the oldest and most successful worldwide. The National Library of Australia’s digital legal deposit is state-of-the-art.
CANTEEN MANAGEMENT APPLICATION WITH INTELLIGENT FEEDBACK SYSTEM

The purpose of the canteen management system is to automate the services provided by the canteen manager, and to make the work easy for them, this system will help the manager to keep a track of the bills of the customer, the app allows to make the payments using various online methods, and allows the user to check the menu digitally via an android application. The application also contains a system which analyses all the customers’ reviews and sends a one-word review of the food to the manager, which allows them to judge the food by just reading a single word. The application will also keep a track of the customers’ bills and generate a monthly bill of the same and then send it to the manager. This application will allow the simplification and digitalization of the canteen management which was traditionally done on books.
Differential Privacy for Pairwise Learning: Non-convex Analysis.

Pairwise learning focuses on learning tasks with pairwise loss functions, which depend on pairs of training instances, and naturally fits for modeling relationships between pairs of samples. In this paper, we focus on the privacy of pairwise learning and propose a new differential privacy paradigm for pairwise learning, based on gradient perturbation. We analyze the privacy guarantees from two points of view: the $\ell_2$-sensitivity and the moments accountant method. We further analyze the generalization error, the excess empirical risk, and the excess population risk of our proposed method and give corresponding bounds. By introducing algorithmic stability theory to pairwise differential privacy, our theoretical analysis does not require convex pairwise loss functions, which means that our method is general to both convex and non-convex conditions. Under these circumstances, the utility bounds are better than previous bounds under convexity or strongly convexity assumption, which is an attractive result.
The Graph of Positions for the Game of SIM *

The game of SIM was introducted by Simmons. Two players, black and red, alternately color the 15 edges of the complete graph. A player loses if he is forced to complete a triangle in his own color. It is well-known that the graph cannot be colored in two colors without a monochromatic triangle; thus a tie is impossible. This chapter provides a winning strategy for red by listing a relatively short set of positions which are winning for red. At each of red’s moves, he can make at least one move which produces one position in this list. The chapter presents the procedure which was used in an attempt to achieve a list of minimum length.
KUALITAS PELAYANAN SISTEM ADMINISTRASI MANUNGGAL SATU ATAP (SAMSAT) KERINCI

This research took place at the SAMSAT KERINCI Department. The purpose of this study was to determine the quality of the Kerinci One-Stop Administration System (SAMSAT). The approach taken in this research is qualitative. The number of informants was 6 people. Data collection techniques and tools in this study were interviews, library research and observation. The unit of analysis is individuals, social groups, institutions and the Kerinci One-Stop One-Stop Administration System (SAMSAT) Service Quality. The research results show the Kerinci One-Stop One-Stop Administration System (SAMSAT) Service Quality. that the quality of samsat service is still standard and not maximal in accelerating. And the facilities and infrastructure in Samsat are still lacking, so that in order to print the STNK, it is fully and maximally.
European Central Bank Digital Currency: The Digital Euro. What Design of the Digital Euro Is Possible Within the European Central Bank’s Legal Framework?

This article will discuss the legal framework of Central Bank Digital Currency (CBDC) in the Eurozone. The different designs proposed by the European Central Bank will be examined against the legal framework. The first question that will be examined is whether CBDC could be introduced as part of the issuance of banknotes and be classified as legal tender. It will then consider whether the CBDC can be used as a monetary policy instrument under the ECB’s monetary mandate. To do so this paper will consider two different types of CBDC. The wholesale CBDC is only accessible to financial institutions and the general purpose CBDC which would be accessible to consumers. This paper concludes that CBDC can be introduced as legal tender. And that the introduction as legal tender does not exclude it from being used as a monetary instrument. General purpose CBDC however cannot be introduced under its monetary mandate. This paper considers that the introduction of general purpose CBDC would classify as an economic policy. The aim of such CBDC is socio-economic rather than monetary. Despite the economic mandate, CBDC could not be introduced within the current legal framework. The impact upon the commercial sector would violate the efficient allocation of resources. Therefore the introduction of general purpose CBDC would not be possible under its economic mandate. Lastly, this article examines the possibility of introducing and using CBDC as part of the exchange rate policy. This option is examined concerning the introduction of cryptocurrencies. This paper finds that using CBDC would be lawful under the ECB’s mandate. Using CBDC as part of the exchange rate complements the Commission’s proposed legislation of cryptocurrencies.
DCFMRS: Deep Collaborative Filtering for Movie Recommender System

Entertainment industry in this internet era has constantly been taking huge interest in ensuring a tailored experience to each of its audience. Recommender systems are a subclass of information filtering systems and suggesting items especially in streaming services. Streaming services like movie recommendation systems are essential for finding similar users and items. This paper presents deep learning approach based on collaborative filtering that can handle cold start and overfitting problems to provide more reliable predictions. User and item-based collaborative filtering are combined to identify highly items. These items are used to train the deep learning model to predict user ratings on new items and to provide final recommendations. The experimental result of the proposed model has been compared with that of the state of art models in terms of MAE and RMSE.
School Debit Transaction Using Fingerprint Recognition System

This paper proposed a fingerprint based school debit transaction system using minutiae matching biometric technology. This biometric cashless transaction system intensely shortens the luncheon line traffic and labour force compared to conventional cash payment system. Furthermore, contrast with card cashless transaction system, fingerprint cashless transaction system with benefit that user need not carry additional identification object and remember lengthy password. The implementation of this cashless transaction system provides a more organize, reliable and efficient way to operate the school debit transaction system.
The Role of Sharing Peer Group Intervention on Nutritional Anemia Prevention to Children at Bayang Public Elementary School in Makassar City

The prevalence of nutritional anemia is one of elementary shool-aged children’s nutritional problems andbrings an impact on students’ learning achievements. This study aimed to analyze the role of sharing peergroup intervention on nutritional anemia prevention to elementary school-aged children. The research designused was quasi-experiment with control group design. Population and samples of students from IV and Vclasses were 54 and the students were chosen through purposive sampling method. Data were analyzed withpaired test. Results showed that there were increment scores in cognitive aspect after sharing peer groupmethod was applied as research intervention (M=24.07; SD=11.851). The value was greater than cognitivescores increment after counseling method applied as research intervention (M=14.81; SD=8.931) with pvalue=0.002 less than significance value (p&lt;0,05). It shows that there is increase of average increment torespondent’s cognitive scores. Average increment affective scores of respondents after sharing peer group(M=25.55; SD=15.275) was conducted is greater than counseling method (M=15.92; SD=14.212) with pvalue=0.020 less than significance value (p&lt;0.05). It means that there is increase of average incrementto respondent’s affective scores. Average increment psychomotor scores of respondents after sharing peergroup (M=22.22; SD=11.208) was conducted is greater than counseling method (M=15.18; SD=11.559) withp value=0.027 less than significance value (p&lt;0.05). It means that there is increase of average increment torespondent’s psychomotor scores. It is expected to shool practitioners to continue the counseling and sharingpeer group to students in order to maintain healthy food consumption pattern with sustainable and properway so that students can avoid nutritional anemia cases.
O M-COMMERCE E A PANDEMIA DO COVID-19: : A PROBLEMÁTICA EN-VOLVENDO O DIREITO À INFORMAÇÃO E A HIPERVULNERABILIDADE DOS CONSUMIDORES CELÍACOS EM APLICATIVOS DE COMIDA DELIVERY

Through an exploratory research, the present study is concerned, first, in demonstrating that the pandemic of the disease known as COVID-19 with the consequent recommendation of social distancing, was a preponderant factor for the increase of e-commerce in Brazil, including the modality of m-commerce in which purchases are made by devices with access to the mobile Internet. In a second moment will be presented the problem of hypervulnerability of celiac consumers, who, for health reasons, need to avail themselves of a diet totally gluten-free but, when operating food delivery applications do not find on the platforms the essential characteristics of the products made available for purchase, a fact that prevents this portion of consumers from accessing crucial and determining information to support the choice.
Comparative analysis of the incoming surface and outgoing top of atmosphere solar radiation based on MERRA-2 &amp; CERES data

&amp;lt;p&amp;gt;The incoming solar radiation at the top of the atmosphere (TOA), and especially at the Earth&amp;amp;#8217;s surface, determines the energy balance of our planet and regulates its climate. During the last decades, variations in the incoming surface solar radiation (SSR) have been observed, which depend on the atmosphere&amp;amp;#8217;s transparency. This phenomenon, known as global dimming and brightening (GDB), plays an important role in climate change and global warming. The present study examines the variability and changes of both SSR and the outgoing solar radiation at the TOA (OSR) based on long-term satellite data and ground truth measurements, but also reanalysis data, also with an aim to inter-compare and validate the changes of SSR (&amp;amp;#916;SSR or GDB) and OSR (&amp;amp;#916;OSR) in order to ensure the highest accuracy of the findings. For this analysis, mean monthly SSR and OSR fluxes are used at the global scale and over the last several decades. More specifically, SSR and OSR solar fluxes are used from the Modern-Era Retrospective Analysis for Research and Applications v.2 (MERRA-2) reanalysis data for the 40-year period 01/1980 - 12/2020 and from the satellite Clouds and the Earth's Radiant Energy System Energy Balanced and Filled (CERES-EBAF) database for the 20-year period 03/2000 - 07/2020. The spatial resolution of CERES-EBAF dataset is 1&amp;amp;#176;&amp;amp;#215;1&amp;amp;#176; latitude and longitude. MERRA-2 data, originally provided on a 0.5&amp;amp;#176;&amp;amp;#215;0.625&amp;amp;#176; horizontal grid, are regridded on the CERES-EBAF spatial resolution (1&amp;amp;#176;&amp;amp;#215;1&amp;amp;#176;). The SSR and &amp;amp;#916;SSR fluxes from MERRA-2 and CERES are compared to each other, and they are both assessed through comparisons against ground measurements from the two major reference station networks, namely the Global Energy Balance Archive (GEBA), and the Baseline Surface Radiation Network (BSRN). The OSR and &amp;amp;#916;OSR fluxes from MERRA-2 are assessed through comparison against corresponding fluxes from the CERES satellite measurements. The data analysis examines the spatio-temporal distribution and the trends of SSR (&amp;amp;#916;SSR or GDB) and OSR, using both radiation fluxes and their deseasonalized anomalies. Special emphasis is given to the accurate estimation of GDB and the associated uncertainty, while attempting to reduce this uncertainty using the results of the analysis at the top of the atmosphere.&amp;lt;/p&amp;gt;
RESEARCH ON RECOMMENDATION TECHNOLOGY BASED ON KNOWLEDGE GRAPH

The recommendation system is of great significance for screening effective information and improving the efficiency of information acquisition. It is widely used in many network scenarios to deal with information overload caused by massive information data, so as to improve user experience. In view of the strong practicability of the recommender system, researchers have conducted extensive research on its methods and applications. In recent years, many works have found that the rich information contained in the knowledge graph can effectively solve a series of key problems in the recommendation system, such as data sparseness, cold start, and recommendation diversity. Therefore, this article first introduces the main personalized recommendation technology and the related content of the knowledge graph, and then uses the knowledge graph to design a model of the fusion of the recommendation system and the knowledge graph. Finally, it is tested according to the data set, and the experiment proves that this model improves the task performance of the recommendation system.
From academic engagement to the educational success of students in the second year junior high school: Insights into the appropriate teacher/student interaction

This study is dedicated to exploring the role played by the appropriate teacher-student relationship in determining the academic commitment and educational success of students in the second year of middle school. The quantitative approach coupled with a qualitative component for a better understanding of the phenomenon was favored. A sample of 360 students from the middle year two classes participated in the study. The results highlight the predominant role of the teacher in the students' academic commitment, as much by his interpersonal skills as by his know-how towards the pupils. In essence, the analyzes clearly establish that the more the pupil perceives his friendly and warm teacher, the higher his perception of academic competence, thus greatly promoting his academic commitment. Conversely, the more the pupil perceives his teacher to be less affable and warm, the more he perceives himself to be less competent and has a low commitment in school terms. Various intervention measures to help teachers offer quality professional services such as in-service training based on their verbal and non-verbal skills are proposed in order to promote the appropriate teacher-student relationship.
ANALYSIS OF THE SYSTEM OF ASSESSMENT OF STUDENT KNOWLEDGE IN PUBLIC EDUCATIONAL INSTITUTIONS

It analyzes the revision of national education standards, vocational education, curriculum and textbooks, curriculum continuity, continuity, and adaptability to the age and psychophysiological characteristics of students in two stages.
A SR-UKF-based method to identify submarine hydrodynamic coefficients

Objectives  The square root unscented Kalman filter (SR-UKF) algorithm was developed for the identification of hydrodynamic coefficients, which are difficult to obtain accurately in submarine motion models. Methods  Firstly, the hydrodynamic coefficients identification model was established based on the nonlinear mathematical model of submarine motion in the vertical plane, combined with the SR-UKF algorithm. Then, a sinusoidal maneuvering in the vertical plane was carried out by the automatic steering method and the generated data in addition to the measurement errors were chosen as the input for SR-UKF parameter identification. Finally, six viscous hydrodynamic coefficients in the vertical motion plane were identified through a numerical simulation. Results  The simulation results show that, all identified hydrodynamic coefficients converge to fixed values within 3 000 seconds, and through the selection of appropriate initial values, the maximum error between the identification results and the standard values measured by a hydrodynamic test is only 1.5%. Conlusions  SR-UKF can be effectively applied to identify submarine hydrodynamic coefficients, and can be further extended to real ship coefficients identification.
Representational aspects of depth and conditioning in normalizing flows

Normalizing flows are among the most popular paradigms in generative modeling, especially for images, primarily because we can efficiently evaluate the likelihood of a data point. This is desirable both for evaluating the fit of a model, and for ease of training, as maximizing the likelihood can be done by gradient descent. However, training normalizing flows comes with difficulties as well: models which produce good samples typically need to be extremely deep -- which comes with accompanying vanishing/exploding gradient problems. A very related problem is that they are often poorly \emph{conditioned}: since they are parametrized as invertible maps from Rd→Rd, and typical training data like images intuitively is lower-dimensional, the learned maps often have Jacobians that are close to being singular. In our paper, we tackle representational aspects around depth and conditioning of normalizing flows---both for general invertible architectures, and for a particular common architecture---affine couplings. For general invertible architectures, we prove that invertibility comes at a cost in terms of depth: we show examples where a much deeper normalizing flow model may need to be used to match the performance of a non-invertible generator. For affine couplings, we first show that the choice of partitions isn't a likely bottleneck for depth: we show that any invertible linear map (and hence a permutation) can be simulated by a constant number of affine coupling layers, using a fixed partition. This shows that the extra flexibility conferred by 1x1 convolution layers, as in GLOW, can in principle be simulated by increasing the size by a constant factor. Next, in terms of conditioning, we show that affine couplings are universal approximators -- provided the Jacobian of the model is allowed to be close to singular. We furthermore empirically explore the benefit of different kinds of padding -- a common strategy for improving conditioning.
PENGARUH MODEL PEMBELAJARAN INQUIRI TERHADAP HASIL BELAJAR EKONOMI PADA PESERTA DIDIK KELAS XI IPS

Existing problems in high school Pioneer 1 Bandar Lampung is 1) low results studied economics students, 2) lack the level of activeness of students in the learning process so that cause the learning process becomes less effective and active/3) low interest student learning as well as to the high saturation of students in the learning process. The purpose of this research is to know the influence of model learning enquiries against the results of the economic study on the students of Class XI. IPS even semester HIGH SCHOOL Pioneer 1 Bandar Lampung year lessons 2018/2019. This research uses experimental methods of treatment given by using a model learning enquiries. The population in this research is a student of Class XI. IPS that add up to 89 students, samples consisting of Class XI. IPS 1 as experimental class of 31 people and XI. IPS 3 as a class controls that add up to 30 people. Hypothesis testing using a statistical formula ttest. After held hypothesis testing data and calculation results of the economic study by using a statistical formula, then the at can thit = 3.26 and ttab = 2.00 on a significant level of 5%. This means there is the influence of model learning enquiries against the results of the economic study on the students of Class XI. IPS even semester HIGH SCHOOL Pioneer 1 Bandar Lampung year lessons 2018/2019.
Making A Travel Chatbot of A Single Place

Chatbot is a computer application that interacts with users using natural language in a similar way to imitate a human travel agent. A successful implementation of a chatbot system can analyze user preferences and predict collective intelligence. In most cases, it can provide better user-centric recommendations. Hence, the chatbot is becoming an integral part of the future consumer services. This paper is an implementation of an Our proposed work travel Chatbot is on goa if anyone wants to visit goa how this travel Chatbot minimizes the user efforts all the information related to goa that hotels to stay ,food, bookings, greatest offers, do nights all the bookings can be done using 100% safe sites that will not be harmful for user’s device and privacy concerns.