Reviewerly/exHarmony huggingface dataset:
Phenomenon of Dark Space

The phenomena of dark matter and dark energy are the most significant scientific discoveries of the 20th century in astrophysics. But until very recently they were completely inexplicable. And nevertheless, attempts to explain them still continue to be made mainly with the help of research at the Large Hadron Collider. At the present time in astrophysics it is generally accepted that the phenomena of dark matter and dark energy can be explained by the existence of some still unknown physical entities only in our visible universe. Moreover, this assumption seems to be quite reasonable, since the Monoverse hypothesis following from the postulate about non-exceedance of the speed of light in the special theory of relativity, leaves no place for dark matter and dark energy nowhere, except in our visible universe. However, in fact, this assumption is erroneous, because, as shown in the article, dark matter and dark energy are just gravitational images of invisible parallel universes coexisting with our visible universe in the Multiverse, which is therefore called hidden. The study, which made it possible to prove this, was carried out using previously unknown radio-electronic experiments that proved the general scientific principle of the physical reality of imaginary numbers. And this principle in the existing version of the special theory of relativity refuted the postulate of non-exceeding the speed of light, as well as the statement following from it about the existence of the Monoverse. It also made it possible to detect the fallacy of existing relativistic formulas and correct them. And from the corrected relativistic formulas the existence of the hidden Multiverse follows. Moreover, the mathematical analysis of the experimental data obtained by the WMAP and Planck spacecraft made it possible to prove that in nature, in addition to the invisible universes of the hidden Multiverse, there are other invisible universes connected with it through portals, creating the phenomenon of dark space. And the Multiverses of the dark space together with the hidden Multiverse form the Hyperverse. The article shows that the existence of invisible universes included in these Multiverses can be experimentally proved by astronomical observations in portals.
Preventivity as an educational method in adversity and educational emergency contexts

In the framework of the health crisis produced by the COVID-19 pandemic, a set of problems that were already occurring in today’s society emerged and became visible One of the multiple problems is the one referred to the educational field Which must be analyzed and worked from various approaches In this article we try to focus attention on two areas: The first, the reflection on the relevance of prevention, as a method, in contexts of precariousness and educational inequality, and the second, to determine the perception of young university students regarding the educational response and of accompaniment carried out by teachers and by the leaderships created by the students themselves as mechanisms to face the troubles from the pandemic To achieve the aforementioned, we resort to qualitative methodological traditions (interviews) that allowed obtaining data in this context of educational emergency Among the main findings, we register the value that young university students place on teacher support during the times of global health crisis Concluding that all educational action marked by preventivity is recognized for being collaborative © 2020, Estudios Pedagogicos All Rights Reserved
EFEKTIVITAS KINERJA APARATUR SIPIL NEGARA (ASN) STAIN MANDAILING NATAL DI MASA PANDEMI COVID-19

Online lectures have some challenges, especially the mindset of the entire academic community that is still strong relied on conventional fashion. This has implications at least on the administration procedure. The paradigm that is still stuck is a definite space and time-based performance. Means physical presence is very decisive administrative records. Both for lecturers as evidence of attendance that determines the number of rights received, as well as for students for the prestige that also has consequences on assessment evaluation. Many lecture materials that are not maximal or ineffective are delivered meeting due to internet connections that sometimes signal bad and ineffective use of time in online lectures. Government policy that establishes Work From Home (WFH) for the civil apparatus of the state, certainly has some basic considerations and references in the termination of its policy. Government policy is also the most important aspect in determining the effectiveness of the work of the civil apparatus of the state. Appropriate policy selection in times of emergency such as this will be key in the effectiveness of public services as well as the handling of pandemics or covid-19 outbreaks in Indonesia. The purpose of this study is to identify the effectiveness of the performance of the civil apparatus of the State Islamic High School Mandailing Natal and the impact of the work system from home on the performance of the state civil apparatus during the covid-19 pandemic. This type of research uses qualitative methods by the object of the study, so this type of research belongs to the category of the research library and live interviews with civil apparatus of the state High School Of Islamic Region Mandailing Natal.
Variational Multi-Task Learning

Multi-task learning aims to improve the overall performance of a set of tasks by leveraging their relatedness. When training data is limited using priors is pivotal, but currently this is done in ad-hoc ways. In this paper, we develop variational multi-task learning - VMTL, a general probabilistic inference framework for simultaneously learning multiple related tasks. We cast multi-task learning as a variational Bayesian inference problem, which enables task relatedness to be explored in a principled way by specifying priors. We introduce Gumbel-softmax priors to condition the prior of each task on related tasks. Each prior is represented as a mixture of variational posteriors of other related tasks and the mixing weights are learned in a data-driven manner for each individual task. The posteriors over representations and classifiers are inferred jointly for all tasks and individual tasks are able to improve their performance by using the shared inductive bias. Experimental results demonstrate that VMTL is able to tackle challenging multi-task learning with limited training data well, and it achieves state-of-the-art performance on four benchmarks, consistently surpassing previous methods.
Defining Accounts and Permissions

In this modern age of global network connectivity, the need to secure a database should be glaringly obvious. News stories about data breaches, leaked information, and malicious exploitation by hackers provide us a sobering warning about the dangers of unsecured data. As important as it is to stop unauthorized access by outsiders, security permission is a far more complex subject. Even authorized users require restrictions on their activity inside the database. Limitations on the content they can create, view, modify, and use are important to consider. Also, restricting access to the structural design of a database can help stop careless or malicious alternations to the schema, interface, and script functions. Even a minor accidental change to a formula or script can be catastrophic to a company’s workflow and may result in severe financial consequences. Only users with adequate technical skill and knowledge of business logistics should be authorized to act as a developer. This chapter explores the available credentialing features.
A student-based software development team and their response to COVID-19

Often, higher educational institutions must purchase software to manage their operations. However, the cost to purchase some software is prohibitive, particularly for smaller institutions, resultin...
Politeness Strategies in Negative Response to Criticism in the Javanese Cultural Community

This articles studies the politeness strategies that are used in negative response to criticism in the Javanese cultural community. The goal is to explain the cultural norms that regulate the way in which people in the Javanese cultural express a negative response to criticism, to discover thetype of contexts in which direct/ indirect strategies are used. The data collected by the DCT. The contexts of negative response were determined based on ±Power (±P), ± sosial Distance (±D), and ±Direct Criticicism (±DC). The results of the analysis show that if a context contains (+P), the use of a direct strategy is very low. On the contrary, if a context contains (-P), the choice of the negative response strategy tends to be influenced by the use of the criticism strategy (±DC). If the critic uses a direct strategy (+DC), the recipient also tends to use a direct strategy. If the critic uses an indirect strategy (-DC), the recipient also tends to use an indirect strategy. It can be concluded, therefore, that the type of negative response strategy used to respond to criticism in the Javanese cultural is determined by the parameter (±P).
Digital services: The European Commission publishes its proposal for a new regulation for a digital single market (Digital Services Act)

The Digital Services Act [DSA] complements the provisions of the E-Commerce Directive regarding the regulation of illegal content. The Digital Services Act aims to create a digital single…
The new TOPCO hybrid algorithm to solve multi-objective optimisation problems: the integrated stochastic problem of production-distribution planning in the supply chain

This paper presents a new hybrid algorithm to solve multi-objective optimisation problems called TOPCO which has been implemented on the integrated stochastic problem of production-distribution planning in the supply chain. The proposed TOPCO hybrid algorithm is a combination of the TOPSIS algorithm and the cuckoo optimisation algorithm and is therefore named TOPCO. The cuckoo optimisation algorithm is unable to solve multi-objective problems that can be easily used for multi-objective problems using the proposed hybrid approach. The multi-objective problem under study includes an integrated model of production and distribution planning with many stochastic parameters. The speed and accuracy of the results obtained from the implementation of the proposed TOPCO algorithm on the supply chain problem show the efficiency of the algorithm in solving multi-objective problems and this algorithm can well identify the Pareto frontier of the problem. Also, due to the use of the cuckoo optimisation algorithm, the proposed TOPCO algorithm can be used in large-scale problems.
Dual Derivational Markers: A Study of Urdu Nominal-cum-Adjectival Markers

The core purpose of the present work is to analyze the Urdu nominal-cum-adjectival markers with structural, positional, distributional, percolational, and functional perspectives. The dual derivational markers are securitized with the lens of morphology-syntax nexus. In the paradigm of morphemic productivity, the dual derivational markers form a sub-feature of productivity. These markers present two complex derivational perspectives: dual derivation with the nominal or adjectival roots and dual derivation with the nominal roots. They are analyzed within the framework of Generativism and Lexical Functional Grammar (LFG) with purposive sampling technique. The template to function analyzer is devised to apply morphosyntactic features on the nominal-cum-adjectival markers. The present study proposes morphological attribute value matrix (MAVM) to capture functional multiplicity of each morpheme of the complex derivatives by producing f-structure. The dual derivational perspective is expected to work equally for other Indo-Aryan languages, as their word structure contains similar formal properties, as possessed by the Urdu complex derivatives. The present work seems to contribute to the derivative theory for the Indo-Aryan languages.
Delegating Multi-Party Quantum Computations vs. Dishonest Majority in Two Quantum Rounds

Multi-Party Quantum Computation (MPQC) has attracted a lot of attention as a potential killer-app for quantum networks through it's ability to preserve privacy and integrity of the highly valuable computations they would enable. Contributing to the latest challenges in this field, we present a composable protocol achieving blindness and verifiability even in the case of a single honest client. The security of our protocol is reduced, in an information-theoretically secure way, to that of a classical composable Secure Multi-Party Computation (SMPC) used to coordinate the various parties. Our scheme thus provides a statistically secure upgrade of such classical scheme to a quantum one with the same level of security. In addition, (i) the clients can delegate their computation to a powerful fully fault-tolerant server and only need to perform single qubit operations to unlock the full potential of multi-party quantum computation; (ii) the amount of quantum communication with the server is reduced to sending quantum states at the beginning of the computation and receiving the output states at the end, which is optimal and removes the need for interactive quantum communication; and (iii) it has a low constant multiplicative qubit overhead compared to the single-client delegated protocol it is built upon. The main technical ingredient of our paper is the bootstraping of the MPQC construction by Double Blind Quantum Computation, a new composable resource for blind multiparty quantum computation, that demonstrates the surprising fact that the full protocol does not require verifiability of all components to achieve security.
EFL Students’ Digital Literacy Awareness at Higher Education in South Kalimantan

. 2021. EFL Students’ Digital Literacy Awareness at Higher Education in South Kalimantan. Thesis. English Education Department, Faculty of Tarbiyah and Teaching Training Antasari State Islamic University Banjarmasin. Advisors (I) Puji Sri Rahayu, MA (II) Fajrianor, M. PdKeywords: EFL Students’, Digital Literacy, AwarenessIn this era, where technological advances are developing rapidly, having awareness of digital literacy is very important, it can even be said that it is a must thing to have. The author noticed that not everyone is aware of digital literacy even though they're higher education students. Along with the many terms in the world of digital technology that uses English, the author was interested in knowing how was EFL students' digital literacy awareness at higher education in South Kalimantan. This research used the descriptive quantitative method. The number of samples in this study were 98 respondents of 7 universities, which were Universitas Islam Negeri Antasari Banjarmasin, Universitas Lambung Mangkurat, Universitas Islam Kalimantan Muhammad Arsyad Al-Banjari, Sekolah Tinggi Keguruan Dan Ilmu Pendidikan PGRI Banjarmasin, Universitas Muhammadiyah Banjarmasin, Universitas Sari Mulia, and Universitas Nahdlatul Ulama Kalimantan Selatan. The techniques of data collection by giving questionnaires to respondents. And after that, the data is constructed by making the table of the frequency distribution. The findings showed that EFL students' digital literacy awareness at higher education in South Kalimantan is quite high by looking at the percentage of each question asked.
PLM-systems application in aerospace industry

The research relevance is due to the need to search for opportunities to improve project management efficiency in the aerospace industry. The PLM system is an integral part of the aerospace industry. This paper analyzes the feasibility of implementing the Product Lifecycle Management (PLM) technology and examines the requirements for the PLM system for creating space technology. The review results showed that PLM-technologies can be successfully applied to aerospace product development and design. The effective result of implementing this technology is flexible methodologies application and model-oriented and numerical modeling of the new product design usage.
The Use of ESA Technique on Reading Comprehension at Mts N Ganting Padang Panjang

The researcher aimed to conduct this research due particular in students reading comprehension at Mts N Ganting Padang Panjang. The researcher found the problems that first, students interest in reading a text was still lacking. Second, students still have difficulty in reading comprehension. Third, students had a lack of vocabularies in translating the meaning of the word. Therefore, this research is to know how the teacher applies the ESA technique on reading comprehension. The research aimed to analyze teacher apply ESA technique on reading comprehension. This research used a descriptive qualitative research design. The object of this research were two English teachers in Mts N Ganting Padang Panjang. The instruments of this research were questionnaire and interview. The result of the research showed that ESA technique is suitable and effective for reading comprehension that can be seen from teacher apply ESA technique on reading comprehension. Engage, in this elements the teacher motivate students and active their background knowledge. The study, in this elements teacher, focus on the topic in the text and guide students in understanding the content of the text. Activate, in this elements teacher gives exercises and assignment to students, then concludes the contents of the text that has been learned.
Subject & Research Guides: Open Data Sets and Visualization Resources: Home

Locate and use open source numeric, statistical, geospatial, and qualitative data sets by topic. Explore data visualization methods, techniques, and resources to help discover patterns in the data that may not be clear from statistics alone.
Consultation scheduling with LibCal at the University of Michigan

Many academic libraries use an intermediary technology for scheduling research and consultation appointments with users. A variety of scheduling tools are available on the market, distinguished by features, interface, and price. In 2018, the University of Michigan Library (U-M Library) began testing the use of SpringShare’s LibCal Appointments scheduling tool. The library had already been using other SpringShare products and piloting the use of LibCal as a means for users to book study rooms. Two years out from the initial start of the pilot, it is possible to step back and see the bigger picture of how LibCal has been used across the library. While other academic libraries chronicled the use of scheduling tools, including LibCal, for research consultation bookings, this paper will discuss the experiences of the U-M Library during the appointment scheduling pilot, including challenges, successes, and current applications of LibCal. This work has been affected by oscillating changes in the past years, including the situation of COVID-19 and rapid change to remote workflows, and an entire website redesign project for the Library in Summer 2020.
Research Guides: SNHU Undergraduate Research Day: SNHU Research Week 2021 Schedule

This guide contains all pertinent material for students to participate in Undergraduate Research Day at SNHU. Information about the 2021 SNHU Research Week Virtual Conference
PRODUKSI GAS HIDROGEN DITINJAU DARI PENGARUH DUPLEX STAINLESS STEEL TERHADAP VARIASI KONSENTRASI KATALIS DAN JENIS AIR YANG DILENGKAPI ARRESTOR

The potential for renewable energy is converting water into hydrogen gas through the electrolysis process. Electrolysis is the process of separating water molecules into hydrogen and oxygen gas by flowing an electric current. The electrolysis process is influenced by the type and concentration of catalyst, electrode, and the salinity of raw material. The electrolysis reactor prototype equipped with an arrestor to reduce risk of work accidents due to flashback fire. The results showed that in electrolysis process salinity value would be directly proportional to the gas produced from electrolysis the highest volume of hydrogen gas produced with a salinity of 8 ppt 100 ppm with a current of 35A. In the addition of a catalyst in the electrolysis process with current strength of 35 amperes the highest volume of hydrogen produced was 1.1744 liters at a concentration of 0.1M, for NaOH and with H2SO4 a gas with a volume of 1.2199 liters and a concentration of 0,1 M and the highest efficiency was obtained at a concentration of 0.1M of 40.1503% for NaOH and 41.7063% for H2SO4. In the arrestor test, it was found that filler material for stainless steel wool, copper powder, and aluminum oxide can prevent flashback fire.
Study on Separation Axioms via Graph Theory

A new concept called topological graph and via this concept introduces a new class of separation axioms via the concepts of graph (G-T0, G-T1, G-T2, G-T3, and G-T4), many relations among them were studied and investigated some characterization of these concepts. At last give an application for them. &nbsp
Combined Fuzzy Clustering and Chan_Vese Model for Multicolor Gradual Ochotona curzoniae Image Segmentation

Precise segmentation of Ochotona curzoniae images collected in a nature scene is the basis of Ochotona curzoniae recognition and behavior analysis. Ochotona curzoniae images have the characteristics of diversity and graduality of target colors and complex background. The method of combined Chan_Vese model and k-means clustering algorithm is used to segment the multicolor images, but when k-means clustering algorithm is used to cluster the color of multicolor images, the manner of hard classification is adopted, without considering the color-gradient feature. As a resolution to this problem, a new approach of the Chan_Vese model in combination with fuzzy C-means clustering is proposed in the present paper. The proposed model utilises fuzzy C-means clustering to cluster the pixels inside the evolution curve of the Chan_Vese model, classifying the pixels into a certain color cluster with a certain probability to describe the image color gradual characteristics. By fuzzy C-means clustering, several cluster centers can be obtained, and the values of cluster centers can be used to replace internal fitting values of the Chan_Vese model. In this way, the problem that the Chan_Vese model cannot segment images with intensity inhomogeneity is overcome. Furthermore, the global Heaviside function is replaced by the local Heaviside function to suppress the influence of the background on image segmentation. The experimental results of Ochotona curzoniae images segmentation demonstrate that the proposed model can more accurately locate the target contour and has a higher Dice similarity coefficient, Jaccard Similarity, and segmentation accuracy.
GALILEO@UGA Subject Guides: Using Electronic Library Resources Remotely: Troubleshooting Access Errors

Tips for using electronic library resources from remote locations and common solutions for access errors.