Reviewerly/exHarmony huggingface dataset:
Understanding Deep Learning With Statistical Relevance

This paper argues that a notion of statistical explanation, based on Salmon's statistical relevance model, can help us better understand deep neural networks. It is proved that homogeneous partitions, the core notion of Salmon's model, are equivalent to minimal sufficient statistics, an important notion from statistical inference. This establishes a link to deep neural networks via the so-called Information Bottleneck method, an information-theoretic framework, according to which deep neural networks implicitly solve an optimization problem that generalizes minimal sufficient statistics. The resulting notion of statistical explanation is general, mathematical, and sub-causal.
Password Substantiation with Negative Password Encryption

Secure secret password storage is an essential perspective in frameworks dependent on secret phrase Substantiation method, which is as yet the most broadly utilized Substantiation confirmation procedure, in spite of its some security imperfections. In this paper, a secret key Substantiation architecture structure is implemented that is intended for secure secret password storage and could be effectively incorporated into existing authentication frameworks. In this framework first the plain password which is received from the customer is given to cryptographic hash component for SHA-256 cryptographic process. After this, the hashed secret password is changed over into a negative secret password phrase. At last, the negative password is encoded/encrypted into an Encrypted Negative Password (ENP) utilizing a symmetric-key computation using for example, AES, and additionally to improve security, multi-repeated encryption could be utilized. The cryptographic hash function and symmetric encryption make it hard to break passwords from ENPs. Also, it provides lots of comparing ENPs for a given plain password, which makes pre-calculation intrusions (e.g., and rainbow table intrusion and query table attacks) infeasible. The complex calculations and comparisons of the algorithm provide good resistance towards intrusions and also provide stronger password protection. The proposed and implemented mechanism for Password Substantiation with Negative Password Encryption is a good secured password protection mechanism that merges cryptographic hash function, the negative password and the symmetric-key algorithm, without the requirement for extra data from the plain password.
Discusiones y desafíos de la educación superior en contextos de emergencia: La educación superior en contextos de emergencia

The current issue of the Revista de Educacion Superior del Sur Globa -RESUR- finds us in a global context of emergency due to the Covid-19 pandemic. For this reason, as an academic space that encourages theoretical and empirical analysis, the debate of ideas and the formulation of proposals around the different problems of higher education in relation to actors, institutions and systems, from the current issue At RESUR we propose the analysis and discussion on the problems of higher education in emergency contexts. (...)
Controls on copper and gold endowments of porphyry deposits

&amp;lt;p&amp;gt;Porphyry deposits are the major natural source of copper and a significant natural source of gold, which are essential metals for our society. Porphyry deposits form at convergent margins both during subduction (syn-subduction, Andean-type deposits) and in post-subduction to post-collision and extensional geodynamic settings (post-subduction deposits). Syn-subduction porphyry deposits are typically associated with calc-alkaline magmas often characterized by high Sr/Y values (~50-150). In contrast, post-subduction deposits are mostly associated with variably alkaline magmas having lower Sr/Y values (~25-75). The reasons of the association of porphyry deposits with magmas having different geochemical affinities and of their widely variable Cu and Au endowments (from &amp;lt;1 to &amp;gt;100 Mt for Cu and from few tens to &amp;gt;2500 tons for gold) remain unconstrained.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Porphyry Cu-Au deposits define two distinct trends in plots of Au versus Cu endowments and Au endowment versus duration of the ore process (Chiaradia, 2020): one trend (Cu-rich) is characterized by steep Cu/Au endowment values (Cu/Au~250000) and an average low rate of Au deposition (~100 tons Au/Ma); the other trend (Au-rich) is characterized by low Cu/Au endowment values (Cu/Au~12500) and an average high rate of gold deposition (~4500 tons Au/Ma). The Au-rich trend is defined to the greatest extent by seven, alkaline magma-related, porphyry gold systems (&amp;gt;1100 tons Au) and subordinately by numerous calc-alkaline systems (&amp;lt;1300 tons Au). The Cu-rich trend is defined only by calc-alkaline magma-related porphyry systems.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Modelling of petrological and metal precipitation processes using a Monte Carlo approach suggests that, whereas Cu-rich porphyries are formed by large volumes of magma, Au-rich porphyries result from a better precipitation efficiency of Au. The specific association of the largest Au-rich porphyry deposits with variably alkaline magmas also points out that alkaline magma chemistry favours an upgrade of Au endowments.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;References&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Chiaradia, M. (2020) Gold endowments of porphyry deposits controlled by precipitation efficiency. Nature Communications 11, 248, https://doi.org/10.1038/s41467-019-14113-1.&amp;lt;/em&amp;gt;&amp;lt;/p&amp;gt;
Multiparty Session Programming with Global Protocol Combinators (Artifact).

In the paper Multiparty Session Programming with Global Protocol Combinators, we introduce a library, ocaml-mpst for programming with global combinators - a set of functions for writing and verifying multiparty protocols in OCaml. Local behaviours for all processes in a protocol are inferred at once from a global combinator. Our approach enables fully-static verification and implementation of the whole protocol, from the protocol specification to the process implementations, to happen in the same language. This artifact is the source code of ocaml-mpst, with all the examples and benchmarks discussed in the paper.
Multimodal image news article alignment

Multimodal learning has received a lot of attention in the recent years.Associating a description to an image in any language is a challenging task as itinvolves identifying the objects within the image and determining the relationships between them. Often, the documents are multimodal, and hence they maycontain text as well as images. Various methodologies have been put forward tomatch an image to its corresponding description at sentence level. In this work,we are the first to propose a novel joint image-paragraph (i.e. news article) ranking model trained with images and its corresponding paragraphs (i.e. news articles). The image-paragraph ranking model works in such a way that, given an image, the model ranks the best matching news articles and vice-versa. We achievethis correspondence by using a pairwise ranking function and evaluate the modelperformance on benchmark datasets using Image-Sentence Ranking task evaluation metric. The experimental results show that our model achieves comparableperformance to the cutting edge technique.
The Problem of Reference Change

Reference is the relation between a word—proper name, common noun or description—and the item in the world people use it to talk about. Both reference change—the same word being used by later users to whom it has been passed on to refer to something different—and reference preservation—the word retaining its reference when transmitted to other users—are possibilities which philosophers of language must accommodate. Already in ‘Naming and Necessity’, Kripke acknowledged that two uses of the same word can, in some sense, be part of the same chain without preserving reference, if only because a user of the name might not intend to use it in the way, he believes, it was used by the person from whom he acquired it. The causal theory Evans targets is what one would extract from Kripke if one were to set aside his modestly cautious remark that he is only providing a picture.
Improve Vocabulary Writing Skills through Image and Image Models on Indonesian Language Maples

&lt;p class="TableParagraph"&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;The purpose of this study was to improve vocabulary writing skills in grade II SDN Wukirsari students through the application of the Picture and Picture model assisted by google meet. The research conducted was a Classroom Action Research (PTK) with three cycles, with each cycle consisting of two meetings. The stages of each cycle are planning, implementing, observing and reflecting. Each meeting is carried out a pre test and post test to determine the progress of students. In the first cycle students who completed after carrying out the post test were 50%. In cycle II students who completed after carrying out the post test were 80%. These results indicate that the Picture and Picture learning model can improve student learning outcomes, especially Indonesian language muples at SD Negeri Wukirsari.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
Joint Analysis and Prediction of Human Actions and Paths in Video.

With the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, socially-aware robot assistant and public safety monitoring. Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in these applications. However, modern vision systems in self-driving applications usually perform the detection (perception) and prediction task in separate components, which leads to error propagation and sub-optimal performance. More importantly, these systems do not provide high-level semantic attributes to reason about pedestrian future. This design hinders prediction performance in video data from diverse domains and unseen scenarios. To enable optimal future human behavioral forecasting, it is crucial for the system to be able to detect and analyze human activities leading up to the prediction period, passing informative features to the subsequent prediction module for context understanding. In this thesis, with the goal of improving the performance and generalization ability of future trajectory and action prediction models, we conduct human action analysis and jointly optimize models for action detection, prediction and trajectory prediction.
Finalizer Method: The .NET Special Member

This chapter covers special members that a .NET custom data type should implement.
On developing information and mathematical competence of secondary school students when teaching mathematics as part of extracurricular activities

The article presents a didactic model for developing information and mathematical competence in teaching mathematics in the framework of extracurricular activities “Mathematics – the basis of the digital world” for students of grades 8–9. The definition of information and mathematical competence is given. A system of course goals has been developed in terms of the competence approach. The levels of development of information and mathematical competence are outlined. A digital metatechnology to form the information and mathematical competence based on a multi-level fan system of mathematical problems is proposed. The article describes the features of using the digital educational environment of the course and the possibility of diagnosing the effectiveness of the developed model.
The Exploration of Indigenous Knowledge Representation for Local Medicine

Indigenous knowledge, especially local medicine knowledge, has a high potency to be extensively used in almost all the countries, which one of them is Indonesia. One of the potential local knowledge in Indonesia is indigenous (local) medicine knowledge. However, in recent years, indigenous knowledge, especially indigenous medicinal plants, decreased continuously because it is established and transmitted not in the codified form (tacit knowledge). In the previous research, conceptual model for indigenous medicine knowledge has been developed but this model has not been explored in detail. Therefore, this study aims to explore the explicit representation of indigenous medicine knowledge. The result of this research is a detail representation model in ontology representation using socio-technical approach for indigenous medicine knowledge and a framework to evaluate the ontology model.
Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling

In this work, we predict the prevalence of type 2 diabetes among adult Rwandan people. We used the Metropolis-Hasting method that involved calculating the metropolis ratio. The data are those reported by World Health Organiation in 2015. Considering Suffering from diabetes, Overweight, Obesity, Dead and other subject as states of mathematical model, the transition matrix whose elements are probabilities is generated using Metropolis-Hasting sampling. The numerical results show that the prevalence of type 2 diabetes increases from 2.8% in 2015 to reach 12.65% in 2020 and to 22.59% in 2025. Therefore, this indicates the urgent need of prevention by Rwandan health decision makers who have to play their crucial role in encouraging for example physical activity, regular checkups and sensitization of the masses.
Legacy Photo Editing with Learned Noise Prior

There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conventional approaches mainly focus on one point so that those restoration results are not perceptually sharp or clean enough. To solve these problems, we propose a noise prior learner NEGAN to simulate the noise distribution of real legacy photos using unpaired images. It mainly focuses on matching high-frequency parts of noisy images through discrete wavelet transform (DWT) since they include most of noise statistics. We also create a large legacy photo dataset for learning noise prior. Using learned noise prior, we can easily build valid training pairs by degrading clean images. Then, we propose an IEGAN framework performing image editing including joint denoising, inpainting and colorization based on the estimated noise prior. We evaluate the proposed system and compare it with state-of-the-art image enhancement methods. The experimental results demonstrate that it achieves the best perceptual quality. https://github.com/zhaoyuzhi/Legacy-Photo-Editing-with-Learned-Noise-Prior for the codes and the proposed LP dataset.
Dukungan Perpustakaan Khusus Instransi Pemerintah Menunjang Kinerja Pejabat Pengelola Informasi dan Dokumentasi

Public information organization and services are the main activities of the Chief of Information and Documentation Officer (PPID). In this case, the library unit has a function as a supporting process of PPIDs’ activities in an institution. This supporting process cannot be separated from the perception of the head of the libaries in terms of library supports in supporting PPIDs’ performances. This study attempts to find out the perception of the head of the libraries in terms of library supports to PPIDs’ performance. The purpose of this study (1) to explore library supports for the PPIDs’ performance and (2) to explain the obstacles of the library leaders in developing those supports. There are seven aspects of supports exploring in this study, which are: Knowledge, Coordination, Public information organization, PPIDs’ service, budget allocation, information system development and reporting. This study developed using qualitative methods by interviewing 16 informants who are the leaders of the government libraries. The results of this study are: (1) in general, library unit supports for the PPIDs’ performance based on the perception of heads/library leaders is still low. There is only one aspect, which is Knowledge that shows as high.  Other six aspects are still in medium and low category. The barriers faced by the heads/library leaders in supproting PPID are the lack of synergy between the PPID unit and the library unit, and the lack of regulatory supports from the head of the institutions.
EXPERIENCE AND PROPOSAL FOR THE ENGINEERING PROJECTS COURSE IN TIMES OF COVID19

Appears in: ICERI2020 Proceedings Publication year: 2020Pages: 1272-1277ISBN: 978-84-09-24232-0ISSN: 2340-1095doi: 10.21125/iceri.2020.0337Conference name: 13th annual International Conference of Education, Research and InnovationDates: 9-10 November, 2020Location: Online Conference
Fake News Identification System

Nowadays, there is a huge surge in data, this results in a decrease in information precision on the Internet. Especially in the social media sphere and other platforms, there is a rapid exchange of data between multiple hands. This raises an important concern. Fake news detection is an important, yet very challenging topic. Traditional methods using lexical features have only very limited success. In this paper, we propose a method to gauge the authenticity of such information using only a few attributes of news with a simple user interface. Along with it, the application will also contain day-to-day important news. All these together will help in keeping the credibility and integrity of the information intact and steer us towards a safer community.To sum it up, the main problem we have in hand is the spread of fake news/misinformation and the application tries to curb it and provide reliable information.Keywords:Fake News, Logistic Regression
Dialogue Of Cultures As The Basis For Professional Socialization Of International Students

The article considers the aspects of professional socialization of international students during training at a regional university in Russia and adaptation of students to the new learning conditions. The organization of the educational process at a university based on dialogue of cultures enables to solve important problems of professional socialization of international students. Learning conditions at Russian universities are more or less different from those that exist in students home countries. Professional socialization is considered as an organized educational process of inculturation, which represents a unity of three components: the targeted transmission of culturally set values, moral standards and forms of behavior adopted by a culture; establishing the conditions that ensure acquisition of these standards by students; exercising these standards in social environment. The problems emerging during the process of adaptation are defined as several types of barriers: cultural, social, didactic, and professional. The article analyzes the case of the Volgograd State Socio-Pedagogical University, and offers methods to solve the problems of professional socialization of international students based on the concept of the dialogue of cultures.
Multi-view Human Pose and Shape Estimation Using Learnable Volumetric Aggregation

Human pose and shape estimation from RGB images is a highly sought after alternative to marker-based motion capture, which is laborious, requires expensive equipment, and constrains capture to laboratory environments. Monocular vision-based algorithms, however, still suffer from rotational ambiguities and are not ready for translation in healthcare applications, where high accuracy is paramount. While fusion of data from multiple viewpoints could overcome these challenges, current algorithms require further improvement to obtain clinically acceptable accuracies. In this paper, we propose a learnable volumetric aggregation approach to reconstruct 3D human body pose and shape from calibrated multi-view images. We use a parametric representation of the human body, which makes our approach directly applicable to medical applications. Compared to previous approaches, our framework shows higher accuracy and greater promise for real-time prediction, given its cost efficiency.
UPAYA MENINGKATKAN HASIL BELAJAR EKONOMI MELALUI MODEL PEMBELAJARAN LEARNING CYCLE PADA PESERTA DIDIK SMA GAJAH MADA

The problem that was found by the writein in  X grade of IPS 4 Gajah Mada senior High School Bandar Lampung is the low activity of students and student learning outcomes during the learning process in the classroom. In this study the author uses a Learning Cycle learning model that is expected to improve the activity and economic learning outcomes of X. IPS 4 students on economic subjects at Gajah Mada High School Bandar Lampung Academic Year 2018 / 2019. This study is a classroom action research ) conducted in two stages of the cycle in which the application uses the Learning Cycle learning model in the learning process. The subjects in this study were students of class X. IPS 4, Gajah Mada High School, Bandar Lampung, amounting to 36 students. student learning has increased from an average of 2.1 in cycle 1 to 3.61 in the cycle 2. The percentage of students' learning completeness increased from pre-cycle to 27.78%, cycle 1 was 52.78% and cycle 2 was 81 %. From the results of the analysis, it can be concluded that learning by implementing a Learning Cycle model can improve learning activities and economic learning outcomes of class X students. IPS 4 SMA Gajah Mada Bandar Lampung Academic Year 2018/2019
Ürünlerde Yapılan Ambalaj Değişikliği Ve Bu Ambalajları Üniversite Öğrencilerinin Satın Alma Tercihleri; Kastamonu Üniversitesi Örneği

In today's world, which is also called Information-Information Age, Mass Communication has moved to a di erent dimension, especially with the use of the Internet, and daily life has changed by gaining new concepts with mobile communication technologies.Now, the message written on a wall at one end of the world can reach many parts of the world in a very short time via mobile communication.This way of sharing has led to a new visual understanding in the packaging sector with the change it has created in many areas.Packaging is no longer for information and protection purposes only, but has become an element of communication by taking into account the sharing to be made on social media.This has led to a new design process and advertising strategy in packaging.This research is aimed at examining multicolored, texted, custom-designed packages and determining the purchase preferences of university students.The likert type questionnaire was applied to 94 participants in order to determine the "packaging changes made in the products and the purchasing preferences of the university students".The research found that packaging change positively increases purchasing trends and concluded that Internet and social media sharing are e ective channels for the promotion of products.