Reviewerly/exHarmony huggingface dataset:
Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique

Schools are considered as the backbone for long-term economic progress.No country can develop without increasing their education level.Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure.Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese.On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain.This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance.Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved.Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal.As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.
Moral and Psychological State of the Student’s Personality During End-of-Term Exams

espanolEl articulo presenta aspectos clave del estado moral y psicologico de la personalidad del estudiante, asi como tambien, examina las caracteristicas de edad, niveles de ansiedad como factores que afectan el estado moral y psicologico de los estudiantes. A lo largo del estudio, se concluye que estas categorias, ademas de la adaptacion a las nuevas condiciones, son determinantes para la afeccion moral y psicologica de la personalidad del alumno. EnglishThe article presents key aspects of the moral and psychological state of the student's personality, as well as examines the characteristics of age and levels of anxiety as factors that affect the moral and psychological state of the students. Throughout the study, it is concluded that these categories, in addition to adaptation to new conditions, are determining factors for the moral and psychological affection of the student's personality.
Optimalisasi Sumber Daya melalui Pemberdayaan Masyarakat dalam Meningkatkan Produktivitas dan Pendidikan Usia Dini

The theme of Alternative 1 Community Service Program in Tanjungmas Village is Optimization of Resources through Community Empowerment in Increasing Early Age Productivity and Education in Tanjungmas Village, North Semarang District, Semarang City. The programs in KKN cover 4 fields, namely Education, Economics, Health, and Environment. The program activities carried out in the field of Education are Guidance / Smart Homes, Theater Skills Training, PAUD, Legal Awareness Movement Counseling, Petronas Award, Library, and Inter-RT Competition. In the economic field, namely the making of e-catalogs and booklets, the assistance of making NPWP, the assistance of making IUMK, the assistance of making P-IRT, and UMKM training. In the field of Health, namely Assistance for Posyandu, Healthy Gymnastics, Counseling to Eradicate Mosquito Nest (PSN), integrated health checks, blood donation. in the environmental sector, namely the screening of waste videos, community service, seagull website and profiles, road / location maps, as well as social services for fire victims and in the conservation sector, namely planting mangrove trees .
HUBUNGAN KUALITAS PELAYANAN INFORMASI DENGAN TINGKAT KEPUASAN PENGUNJUNG DI GEOPARK INFORMATION CENTER PALABUHANRATU

The aim of this research is to determine the characteristics of visitors. Finding the effective communication is delivered by the Geopark Information Center office in conveying information to visitors who come to the office. The formulation of the problem that arises in this research is to know how the Relationship between Information Services and Visitor Satisfaction Level at Palabuhanratu Geopark Information Center (GIC). As well as wanting to find out how strong is the real relationship between the service relations carried out by the GIC office with the satisfaction of visitors who come to the Geopark Information Center office.The results of this studyshows that the Relationship between the Quality of Information Services with the Level of Visitor Satisfaction at the Geopark Information Center were effective.Keywords: Palabuhanratu Geopark Information center (GIC); the quality of information services; visitor satisfaction level;.
LibGuides: Student Resources: How to Research

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Adaptive Importance Channel Selection for Perceptual Image Compression

Recently, auto-encoder has emerged as the most popular method in convolutional neural network (CNN) based image compression and has achieved impressive performance.In the traditional auto-encoder based image compression model, the encoder simply sends the features of last layer to the decoder, which cannot allocate bits over different spatial regions in an efficient way.Besides, these methods do not fully exploit the contextual information under different receptive fields for better reconstruction performance.In this paper, to solve these issues, a novel auto-encoder model is designed for image compression, which can effectively transmit the hierarchical features of the encoder to the decoder.Specifically, we first propose an adaptive bit-allocation strategy, which can adaptively select an importance channel.Then, we conduct the multiply operation on the generated importance mask and the features of the last layer in our proposed encoder to achieve efficient bit allocation.Moreover, we present an additional novel perceptual loss function for more accurate image details.Extensive experiments demonstrated that the proposed model can achieve significant superiority compared with JPEG and JPEG2000 both in both subjective and objective quality.Besides, our model shows better performance than the state-of-the-art convolutional neural network (CNN)-based image compression methods in terms of PSNR.
Characterizing and Taming Model Instability Across Edge Devices

The same machine learning model running on different edge devices may produce highly-divergent outputs on a nearly-identical input. Possible reasons for the divergence include differences in the device sensors, the device's signal processing hardware and software, and its operating system and processors. This paper presents the first methodical characterization of the variations in model prediction across real-world mobile devices. We demonstrate that accuracy is not a useful metric to characterize prediction divergence, and introduce a new metric, instability, which captures this variation. We characterize different sources for instability, and show that differences in compression formats and image signal processing account for significant instability in object classification models. Notably, in our experiments, 14-17% of images produced divergent classifications across one or more phone models. We evaluate three different techniques for reducing instability. In particular, we adapt prior work on making models robust to noise in order to fine-tune models to be robust to variations across edge devices. We demonstrate our fine-tuning techniques reduce instability by 75%.
Autonomous Agriculture Marketing Information System Through Blockchain: A Case Study of e-NAM Adoption in India.

The National Agricultural Market, through networking of the APMCs, provides electronic trading for different kinds of agricultural produce. Under e-NAM, all the trading is to be done through a digital platform as prescribed to ensure transparency in the transactions and provide a fair price to the farmers. The study was conducted in three APMCs of Uttar Pradesh to analyze the ground-level practices occurring in these APMCs and to assess the level of adoption of e-NAM. A considerable variation in the arrival and bidding prices obtained from the APMCs was found when compared with the data available on the agriculture market information system (Agmarknet).In this chapter, we thus propose blockchain-based infrastructure to facilitate a highly transparent and autonomous system to further strengthen the information system and enable the efficient application of government rules and regulations pertaining to agricultural transactions in the APMCs through the utilization of smart contracts.
기초 과학과 기초 연구의 사이에서: 기초 과학 육성 정책과 기초과학연구진흥법의 등장

The Basic Science Research Promotion Act, enacted in 1989, is evaluated as the first legal device used to support basic science research in Korea. Before the law was enacted, basic scientists and the Ministry of Science and Technology (MOST) had to go through a period of mediation over the definitions of basic science and the targets of support. This paper seeks to reveal the meaning and dynamics contained by this law by tracing the demands of the basic scientists and the developments of related policies, and analyzing the actual process of enacting the bill. I would like to make the following arguments: First, the 1987 democratization movement was behind MOST’s change of its policy to establish the Basic Science Research Institute to build a basic science support research center. Second, the enactment of the Basic Science Research Promotion Act is a result of more reflection on the MOST’s plan, which expanded the scope of basic research and emphasized its connection with industrial developments. Third, the rhetoric of basic scientists who set the ultimate goal of basic science as industrial technology development forced themselves to follow MOST’s intentions in the legislation process.
Grammatical Error Correction for Basque through a seq2seq neural architecture and synthetic examples

Sequence-to-sequence neural architectures are the state of the art for addressing the task of correcting grammatical errors. However, large training datasets are required for this task. This paper studies the use of sequence-to-sequence neural models for the correction of grammatical errors in Basque. As there is no training data for this language, we have developed a rule-based method to generate grammatically incorrect sentences from a collection of correct sentences extracted from a corpus of 500,000 news in Basque. We have built different training datasets according to different strategies to combine the synthetic examples. From these datasets different models based on the Transformer architecture have been trained and evaluated according to accuracy, recall and F0.5 score. The results obtained with the best model reach 0.87 of F0.5 score.
Occlusion capable augmented reality display using transmissive dihedral corner reflector array and a digital micromirror device

We propose an occlusion-capable near-eye display for augmented-reality. The combination of a transmissive dihedral corner reflector and a single digital micromirror device enables real scene occlusion by displayed virtual images in a compact form factor.
Quantum multiplexing for error correction codes

Quantum error correction codes require several physical resources for their implementation. Here, we show that the number of photons and qubits can be reduced for two quantum error correction codes through the quantum multiplexing approach.
SOSIALISASI PENERAPAN LESSON STUDY ACTIVITY (LSA) SEBAGAI UPAYA DALAM MENINGKATKAN KEMAMPUAN GRAMMAR SISWA PADA GURU BAHASA INGGRIS DI SMK PGRI 2 KOTA CIMAHI

The socialization of the application of Learning in schools that aims to improve the quality and teaching and learning activities in schools in order to increase the ability in the material about English grammar that is expected to foster creativity, increase intelligence, and increase the effectiveness for each individual. In applying these lessons, the role of the servant is to provide socialization including jigsaw techniques that are applied as attractive cooperative learning techniques to be applied in the classroom. Implementation of Lesson Study This activity is carried out in 3 cycles, where each cycle consists of planning (planning), implementation (doing), and reflection (see). The results of devotion show a significant development in student learning where the motivation that appears can be overcome properly. In the end, after successfully the need for Lesson Study is implemented, teachers in schools can practice Lesson Study in the process of learning English at school.
Implementation of the Numeracy Literacy Program in Learning Mathematics Remaining Class IV in Muhammadiyah Elementary Schools

Government programs in fostering a culture of reading and making students literate individuals are welcomed by the implementers of the education program. The purpose of this study was to analyse the implementation of the numeracy literacy in mathematics learning, to analyse the supporting and inhibiting factors of numeracy literacy program in grade IV mathematics learning in elementary schools. This research use descriptive qualitative approach. Data collection uses observation, in-depth interviews, and documentation studies. This study also uses research instruments to guide data collection. This research was conducted in several Muhammadiyah elementary schools, they are SD Muhammadiyah 1 and SD Muhammadiyah 5 Kota Malang. The subjects in this study were the principal as policy makers, class IV teachers, students and parents. The results showed that in learning numeracy literacy was good enough in contextual and problem-based concept planting, but rarely used projection based learning. Facilities and infrastructures that need to be improved, learning motivation is also an inhibiting factor in learning, but there are supporting factors such as the allocation of funds themselves for numeracy literacy programs and the existence of teacher training for literacy programs able to correct existing problems.
Transitional Phones

<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Transitional fossils are</b> the ones that exhibit intermediate states between an ancestral form and its descendants. This concept can be applied to technology, for instance, mobile devices. The first phones with primitive Internet capability were transitional between voice-only phones and the smartphones of today.
A proposed cloud-based billers hub using secured e-payments system

Automation of several payment processes from start to end is a challenging task, particularly when multiple payments from online and offline billers are involved.In this paper, we introduced a new aggregator system to combine all billing system types, in which it is possible to pay invoices electronically.The proposed aggregator system was designed to be employed in a cloud-based billers hub (CBBH) developed by the central banks.Furthermore, many applications can be realized such as; deposit e-money, withdrawal e-money, and other applications.A Gateway translator is used to apply authentication rules, security, and privacy.The proposed system was employed in the Jordanian payment gateway and successfully fulfills its purpose.
Hotelling Meets Crypto-Currency: Do Bitcoin Rents Follow Hotelling's Rule?

Hotelling's Rule of non-renewable resource extraction was first proposed in 1931, but strong empirical evidence supporting Hotelling's predictions has been elusive. Recognizing the complications in natural resource markets, we test Hotelling's Rule using bitcoin rents. Bitcoin is similar to natural resources in that new coins enter the market solely through the efforts of individual agents expending computer resources to attain bitcoins, which can then be sold on exchanges for profit. Bitcoin has a fixed and known resource stock, can be accessed by anyone with a computer, exhibits a fairly homogeneous and easily modeled mining'' technology, and extraction rates follow restricted and pre-determined patterns. Aspects of capital investment and mining returns are observable and can be tracked over time, making bitcoin an ideal test bed for Hotelling's Rule. We calculate the growth rate of the net asset price of Bitcoin, and compare it to the growth rate of several market indicies (GSPC, HYG) over the same time period. We test for and find evidence of a co-integrating relationship, providing support for Hotelling's rule in that any deviations from the theoretical price path bring economic forces to bear that restore the proper pricing relationship.
Nuclear-Norm-Based Jointly Sparse Regression for Two-Dimensional Image Regression

As a typical manifold learning method, two-dimensional Locality Preserving Projections (2DLPP) can perverse the intrinsic manifold structure of the data, and it has been widely used in dimensionality reduction. However, 2DLPP is sensitive to noise and outliers since 2DLPP uses the Frobenius norm to measure the reconstruction error. In order to address the robustness problem in 2DLPP, this paper proposes a novel framework, called nuclear-norm-based jointly sparse regression (NJSR). NJSR characterizes the reconstruction error by using the nuclear norm as the measurement and the \( L_{2,1} \)-norm as the regularized term to derive jointly sparse solutions for feature extraction and selection. Moreover, we propose a bilateral extension over NJSR called Bilateral NJSR (BNJSR). BNJSR learns the projection matrices in both the row and the column directions simultaneously. Both the NJSR and BNJSR can be solved through an iterative algorithm by computing a set of eigenfunctions. Two face databases are used to verify the effectiveness of the proposed methods, and the experimental results show BNJSR outperformed the compared methods.
Pediatric Asthma Management: System and Algorithms

Author(s): Hosseini, Anahita | Advisor(s): Sarrafzadeh, Majid | Abstract: Pervasive health is an emerging field of research aimed at providing health monitoring to anyone at any time and anywhere. In contrast to existing healthcare systems, this paradigm is centered on prevention, wellness maintenance, and proactive care outside the hospital setting. In recent years, advances in sensing technologies and machine learning, as well as wide adoption of smart devices, have led to the development of successful pervasive health solutions such as daily activity monitoring.Despite this growth, the full potential of pervasive health is yet to be unlocked. In this dissertation, we make several contributions to the application and methodological sides of pervasive health to advance it closer to its promises. We investigate design, implementation, and deployment of a highly context-aware and real-time solution for the complex application of pediatric asthma management, trying to predict the exacerbation of asthma ahead of time. On the methodological side, we investigate unmet data modeling challenges that arise in building a highly context-aware pervasive health solution and propose novel approaches to address them. In particular, we approach the challenges of integrative and interpretable modeling of heterogeneous health data, transferring and adapting models to new domains/individuals, and tackling sparsity of labels in real-world settings.
KECERDASAN EMOSIONAL DAN PERILAKU MANUSIA (DALAM PERSPEKTIF ANTROPOLOGI) LUH SURYATNI

ABSTRACT Emotional intelligence greatly affects human behavior since human being can express themselves with their emotion. Emotions can also help human to form their own character. In which, later on will produce the behavior that impossible to differentiate from the influence of environment, genetic, and experience. Just try to imagine what would happen if human beings do not have emotions? It is certainly not just the same as living. It is not enough to prepare you for facing the turmoil brought by the difficulties of life. Ample of evidences show that people who are emotionally capable, can understand and deal with their own feelings. They also tend to be able to read and deal with the feelings of others effectively, which is a great advantage to have in every area of life. People who have good emotional intelligence (stable) are able to resolve the issue with a clear mind because their logic/reasoning is not affected by their unstable emotion. Thus, they will more likely to be succeed in life. So, it is clear that emotional intelligence is a great influence for human behavior because through the stability of their emotional intelligence, people can avoid themselves from the behavior that will affect poorly whether to themselves or their surrounding environment. Keyword : Emotional intelligence and behavior
Influence of Technological Factors on the Decomposition Process of Nitrous Oxide (I)

Mini ReviewNitric acid production represents the largest source of N 2 O in chemical industry, with global annual emission of 23.7 million tons of N 2 O per year.N 2 O has a high impact on the environment as greenhouse gas and stratospheric ozone depletory [1].In this production, the formation of nitrous oxide is possible along two chemical routes [2]
Dynamic presupposition of want and polarity sensitivity

In this paper, I argue that content of some presuppositions is determined dynamically. In particular, it is shown that the presupposition of want in control constructions depends on the interpretation of an action in the complement clause. Different presuppositional content of sentences with want is argued for using new and known observations about licensing of Polarity Sensitive Items. I propose to capture the dynamic nature of the presupposition of want using the AGM paradigm for belief revision (Alchourrán, Gärdenfors &amp; Makinson 1985). Finally, I show that sensitivity to the interpretation of an action as intentional versus accidental is not specific to polarity system, but can be found across different domains of the grammar in many unrelated languages.
Developing the Capability to Applying Knowledge for Non-Metallic Chemistry Module

Currently, developing students' capability to apply knowledge is an essential task in teaching in high schools. Capability developing can be conducted by different means. One of the most effective methods is to use experiments associated with practice. In this article, the author referred the process of conducting experiments associated with practice, investigated the reality of developing capability to apply chemical knowledge for students through practical experiments in some high schools, built assessment tool, from which we designed and used the system of experiments associated with practice in the lectures of Non-Metallic Chemistry, conducted pedagogical experiments and evaluated the effectiveness of developing the capability to applying knowledge for students.
Measure face similarity based on deep learning

Measuring face similarity is a task in computer vision that is different from face recognition. It aims to find an embedding in which similar faces have a smaller distance than dissimilar ones. Thi ...