Reviewerly/exHarmony huggingface dataset:
CountSketches, Feature Hashing and the Median of Three

In this paper, we revisit the classic CountSketch method, which is a sparse, random projection that transforms a (high-dimensional) Euclidean vector $v$ to a vector of dimension $(2t-1) s$, where $t, s > 0$ are integer parameters. It is known that even for $t=1$, a CountSketch allows estimating coordinates of $v$ with variance bounded by $\|v\|_2^2/s$. For $t > 1$, the estimator takes the median of $2t-1$ independent estimates, and the probability that the estimate is off by more than $2 \|v\|_2/\sqrt{s}$ is exponentially small in $t$. This suggests choosing $t$ to be logarithmic in a desired inverse failure probability. However, implementations of CountSketch often use a small, constant $t$. Previous work only predicts a constant factor improvement in this setting. Our main contribution is a new analysis of Count-Sketch, showing an improvement in variance to $O(\min\{\|v\|_1^2/s^2,\|v\|_2^2/s\})$ when $t > 1$. That is, the variance decreases proportionally to $s^{-2}$, asymptotically for large enough $s$. We also study the variance in the setting where an inner product is to be estimated from two CountSketches. This finding suggests that the Feature Hashing method, which is essentially identical to CountSketch but does not make use of the median estimator, can be made more reliable at a small cost in settings where using a median estimator is possible. We confirm our theoretical findings in experiments and thereby help justify why a small constant number of estimates often suffice in practice. Our improved variance bounds are based on new general theorems about the variance and higher moments of the median of i.i.d. random variables that may be of independent interest.
Adder Neural Networks.

Compared with cheap addition operation, multiplication operation is of muchhigher computation complexity. The widely-used convolutions in deep neuralnetworks are exactly cross-correlation to measure the similarity between inputfeature and convolution filters, which involves massive multiplications betweenfloat values. In this paper, we present adder networks (AdderNets) to tradethese massive multiplications in deep neural networks, especially convolutionalneural networks (CNNs), for much cheaper additions to reduce computation costs.In AdderNets, we take the $\ell_1$-norm distance between filters and inputfeature as the output response. The influence of this new similarity measure onthe optimization of neural network have been thoroughly analyzed. To achieve abetter performance, we develop a special training approach for AdderNets byinvestigating the $\ell_p$-norm. We then propose an adaptive learning ratestrategy to enhance the training procedure of AdderNets according to themagnitude of each neuron's gradient. As a result, the proposed AdderNets canachieve 75.7% Top-1 accuracy 92.3% Top-5 accuracy using ResNet-50 on theImageNet dataset without any multiplication in convolutional layer. Moreover,we develop a theoretical foundation for AdderNets, by showing that both thesingle hidden layer AdderNet and the width-bounded deep AdderNet with ReLUactivation functions are universal function approximators. These results matchthose of the traditional neural networks using the more complex multiplicationunits. An approximation bound for AdderNets with a single hidden layer is alsopresented.
Tracking User Interaction with Web and Assisting in Targeted Communication

Today, we spend most of our time online using some form of digital technology (such as search engines, news portals, or social media sites). Our online presence keeps us involved most of the time and provides a lot of information to Internet customers. The development of the web is excellent because every day about a million pages are added. Due to the massive use of the network, the log files of the network increase at a faster rate and the scope becomes enormous. Web Usage Mining uses mining technology on log data to extract user performance, which is used in different applications such as support design, e-commerce, service modification, prefetch, etc. In this paper, we propose a tool that users can use to collect data on their website, and then use this web log data to track user interactions on your website, which helps in targeted communication.
Blasphemy - Legal Status in India

Blasphemy is one of the most abused laws when it comes to suppressing the voice of minorities, rationalists as well as scientists and often comes under a rain of questions over its legality in the present modern establishments of the world. While blasphemy is often regarded as a reasonable restriction over the Freedom of Speech and Expression, it is also regarded as a hindrance in the development of a scientific temper among people and also a methodology of imposing the religious beliefs and virtues of one community over other. In this modern world, where Freedom of Speech and Religion are widely considered as a fundamental and human rights, India despite being a pluralist country with an incomparable diversity in its population, has a vast ocean of varied conflicting opinions on Section 295- A of the Indian Penal Code, 1860 which is a law against blasphemy under the guise of Hate speech.
SOCIO-HISTORICAL TRADITIONS OF DEVELOPMENT OF ECOESTHETIC CULTURE OF PRESCHOOL EDUCATIONAL PROFESSIONALS

The article summarizes the socio-historical traditions of the development of eco-aesthetic culture of preschool education professionals and its modern determinants. It also analyzes information on the process of social education aimed at shaping the social qualities of future preschool professionals, creating and expanding the scope of their relationships with the environment, society, people and themselves.
Geology 2016: Use of nanotechnology in remediation of heavy metals polluted soils

Heavy metals polluted soils are a significant worldwide environmental problem. The crops cultivated in polluted soils often contain significant levels of heavy metals (Cd, Pb, etc.) that can impair human health. The current technologies such as removing up of pollutants, stabilization/solidification of pollutants, vitrification, soil capping, etc., used in remediation of polluted soils are not adequate. Smarter and cheaper techniques still to be addressed to decontaminate polluted soil. In the present study, nanotechnology has been adopted to immobilize heavy metals in polluted soil, in which nano-particles; nano-scale zero valent iron, bentonite-nZVI, nano alginite, nano carbon and dendrimers are used as immobilizing agents. Six soil samples collected from different locations in Egypt which have been polluted by either sewage sludge, industrial wastes, or vehicle exhausts, are treated with nano-immobilizingagents, at three rates of 0.1, 0.5 and 1%. The treated soil samples are incubated for two months which were subjected to eight wetting and drying cycles. At the end of the incubation period, the soils were analyzed for the determination of total, plant available as extracted using DTPA solution, and various chemical fractions of Cd and Pb. The results showed that all nano-immobilizing agents proved high efficiency to reduce the level of DTPA extractable-Cd and Pb. The magnitude of the reduction varied as both agent and rate of application varied. The efficiency of the tested nano-agents to immobilize Cd and Pb increased as the rate of application increased. The sequential extraction experiment showed that, nano immobilizing agents successfully altered Cd and Pb from mobile to immobile form as the exchangeable Cd and Pb significantly decreased in all tested soils, whereas, carbonate- and oxides- boundCd and-Pb significantly increased. Also, the results of the pot experiment showed that application of nano-materials to polluted soils at rates of 1% and 2% significantly increased fresh and dry weight of crop Garden Rocket (Eruca sativa) and decreased uptake of Cd and Pb
PENENTUAN MINAT SISWA MENGGUNAKAN METODE PROFILE MATCHING

Public High School one Paguyaman has implemented curriculum 2013,  interest at the high school level is done early, namely from the beginning of entry in grade X. Interest at the high school level is divided into 3 interests namely MIPA, IPS and Bahasa. However, in the process of interest found there are still many students who choose interests incompatible with their competencies. This research aims to implement the Profile Matching method on the development of the system to support student interest selection decisions. The technique used is Research and Development. Based on the results of the research that has been done, it is known that the Mathcing Profile method can be implanted. This is evidenced by the results of tests conducted by white box testing method and Black Box testing.
Beyond Text and Back Again

A talk with two parts covering three modalities. In the first part, I will talk about NLP Beyond Text, where we integrate visual context into a speech recognition model and find that the recovery of different types of masked speech inputs is improved by fine-grained visual grounding against detected objects [2]. In the second part, I will come Back Again, and talk about the benefits of textual supervision in cross-modal speech–vision retrieval models [1].
Basic Charts: Part 1

In the previous chapter, I covered what was possible with D3 and React. We created function and class components, and we even created a simple bar chart. In this chapter, I will be covering how to create simple charts with React and D3 using TypeScript as a type checker. I will be showing you how to create the following simple charts with the emphasis of getting D3 to do most of the work. I will be showing you how to create the following charts:
STUDYING THE INFLUENCE OF CREATIVITY ON PEDAGOGICAL TOLERANCE AND LACK OF TOLERANCE OF TEACHERS AND STUDENTS

In this article, we examined the impact of creativity on pedagogical tolerance and lack of tolerance of teachers and students in the educational process. The psychological and social task of educating the individual is transferred to the pedagogical plan and in many ways sounds like the education of a tolerant consciousness. In fact, we see this as a model of the worldview problem that we solve in society and teachers. Addressing the problem of tolerance is now one of the principles of humanization of psychology. Pedagogical tolerance as a personal quality is an integral part of a number of professional competencies of employees of the education system. The lack of tolerance of teachers with an expressed authoritarian style of teaching and pedagogical communication consists of negative psychological characteristics that often manifest themselves in relation to students, which leads to extremely negative, and sometimes simply destructive consequences in teaching practice.
Scribbling Refinement vis-à-vis Scribbling Attainment of the First Year Students

This paper ushers to ascertain the scribbling refinement status of the 36 first year students of Bachelor of Science in Hospitality Management of Isabela State University, San Mariano Campus, Isabela Philippines enrolled during the SY 2019-2020 who finished the Senior High School program. The data gathered were deeply analyzed through frequency count, percentage and ranking. The conspicuous findings are, first, out of the 36 students, 24 of them exemplified poor understanding of the topic given resulted into confusion which was denoted in their outputs. Second, the level of scribbling refinement on the organization of ideas, majority of the participants had fairly organization of idea and development with no supporting details and lastly, on the level of scribbling attainment when it comes into protocols, most of the  participants’ outputs were marked with numerous errors in grammar, usage which imperatively restrained with the meaning of the outputs. In relation to respondents’ level of writing difficulties on writing style, most of them had serious and frequent problems with word choice and sentence structure.
Analysis of Application of Accounting Infromation Systems Sales of Rooms and Acceptance of Cash on Griya Penanggungan Kediri City

This study aims to analyze and determine the application of accounting information systems for sales of rooms and cash receipts at Griya Penanggungan Kota Kediri. The research method used is descriptive qualitative research because this study aims to compare with existing theories. The types of data used are primary data and secondary data. Primary data in question is data from interviews, while secondary data is information about company history and accounting information systems.The results of this study prove that the accounting information system for room sales and cash receipts at Griya Penanggungan Kota Kediri is good enough; sales made with cash sales systems and credit sales have been running according to existing procedures. However, there are still weaknesses in planning and control, namely the absence of regular budgeting.Keywords: accounting information system, sales accounting, cash receipts
THE STUDENTS’ STRATEGY FORMATION IN LEARNING GENRE BASED WRITING THROUGH BLENDED SYNCHRONOUS LEARNING

In this COVID 19 pandemic situation, EFL learners and lecturers must adapt with the situation. They had to learn from home and implemented blended synchronous learning approach to continue teaching learning processes for almost one semester. However, this condition had an impact on genre-based writing courses that writing is a complex skill and requires stages in creating a coherent text. To understand the students’ autonomous learning in genre- based writing class, it is momentous to analyse students’ self-regulatory skills, one of the skills is strategy formation in genre-based writing course. This research has an objective to describe the students’ strategy formation in genre-based writing class through blended synchronous learning. It administered a descriptive quantitative research method by using strategy formation questionnaire Likert scale. The questions consisted 10 questions self-concept indicator. The results showed that more than 40 % they had a good strategy formation in writing genre. Whereas there were some problems in creating text , such as; they sometimes applied mind map or outline before writing, they seldom reviewed their text using plagiarism application, and they sometimes created the ending of the text by reviewing all the text. Therefore, it is practical to create the text by considering strategy formation of self-regulatory skills if the teaching learning process applies blended synchronous learning approach.
Public Ration Distribution Using Block Chain Technology

In this paper we will describe a block chain technology based prototype that can be used in a small website. There are presently many fraud activities and corruptions taking place in the food supply schemes present as it sometimes does not reach the poor or the other sections of the society. This project focuses on developing a block chain prototype that is used to record all the transactions/records and log all these transactions. A simple end-to-end web based app of this kind of the block chain prototype can be built that has most of the features and functionalities to carry out all kinds of the transactions between the central state government, the district office, ration shop and the customers, are recorded in the system. The user (government) of the system can view the transactions of any part of the public distribution system. The paper has some features that are guaranteed to provide the most important aspect, that is, the security using the concept of blockchain.
Decentralization and Disintermediation in Blockchain-based Marketplaces

Marketplaces facilitate the exchange of services, goods, and information between individuals and businesses. They play an essential role in our economy. The standard approach to devise digital marketplaces is by deploying centralized infrastructure, entirely operated and managed by a market operator. In such centralized marketplaces, trusted intermediaries often provide various services to traders, such as managing market information, processing payments, and providing arbitration services when a dispute arises. Advancements in information technology have challenged the need for both authoritative market operators and trusted intermediaries. In particular, blockchain technology is increasingly being applied to deploy digital marketplaces. Blockchain-based marketplaces facilitate trade directly between peers while reducing the dependency on both authoritative parties and trusted intermediaries. The role of blockchain in such marketplaces is to replace social trust with cryptographic primitives. This enables the decentralization and disintermediation of different components in digital marketplaces. In the context of this thesis, decentralization refers to the concept of delegating decision-making and activities away from a central authority. Disintermediation reduces or removes the involvement of trusted intermediaries when trading on a digital marketplace. This thesis introduces innovative approaches to decentralize and disintermediate all aspects of blockchain-based marketplaces. We first identify the five aspects of blockchainbased marketplaces: information management, matchmaking, settlement, fraud management, and identity management. We then design, implement, evaluate, and deploy five decentralized mechanisms. Each introduced mechanism focusses on one or two aspects of blockchain-based marketplaces. For each mechanism, we consider feasibility and realworld deployment as crucial requirements for successful adoption.
THE ROLE OF TRANSDISCIPLINARY DIALOGUE IN MODERN INFORMATION SOCIETY

To identify and characterize the role of transdisciplinary and multidisciplinary dialogue in modern information society. Theoretical basis of the study is presented by works on essence and development of post-classical information society. A separate block is represented by works on knowledge and science, which are changing in modern societies under the influence of informatization and globalization. Theoretical basis of the study is grounded on ideas about transdisciplinarity, transdisciplinary field of research as a field of dialogue between different sciences and paradigms. Scientific novelty. It is hypothesized that transdisciplinary dialogue is one of the basic principles of modern information society formation, in this double principle of dialogization is implemented - both plurization, dialogization of truth in science and philosophy is performed, and another process - science and transdisciplinary research contribute to the development of new information technologies, mediation and democratization of society, where information society acts as a main customer and consumer of transdisciplinary knowledge, adapting it to new needs of media culture and digitalization. The role of transdisciplinary and interdisciplinary dialogue in modern society is shown, as well as the understanding of this dialogue from the point of view of philosophy and the humanities. The need for democratization and harmonization of knowledge is proved, it is shown that with the spreading of interactive dialogue democratic institutions penetrate into information structures, thus providing an opportunity to talk about the plurality of truth and complementarity of different ways of cognition. It is revealed that transdisciplinarity is provided by special procedures of dialogue and scientific research, including reflection and transflection, fractality, «included» view, intersectoral expertise, including environmental parameters. Thanks to dialogue, knowledge is centered around man and civil society, a combination of anthropological, socio-philosophical, physical-mathematical and ecological-biological paradigms. It is stated that the development of transdisciplinary and scientific dialogue leads to overcoming the boundaries between humanitarian and natural approaches to reality, the universalization of science as a way of cognition.
Studi Experimen Komposit High Density Polyethelene (HDPE) Limbah Berpenguat Serat Cantula (Agave Roxb) Terhadap Sifat Thermal

Research on experimental studies of High Density Polyethylene (HDPE) composite waste with cantula fiber reinforcement (Agave Roxb) on thermal properties aims to determine the effect of exposure on changes in the thermal properties of composites. The composite specimens were exposed in an open location and then tested for thermal properties using Thermogravimetric analysis (TGA) and Fourier Transformer Infra Red (FTIR).Composite using waste material High Density Polyethylene (HDPE) with mesh 40-60, reinforcement using 10 mm long Agave Roxb fiber. Mixing the ingredients using a mixer at 200 rpm for 10 minutes, during the mixing process is added 0.5 wt% isopropyl liquid. Composites were made by pressing the press on a hot press at a pressure of 30 bar, temperature of 1200 C for 15 minutes. Composites were cut into specimens and then exposed for 90 days with an exposure angle of 600, exposure using the ASTM D 1345 standard. The results of thermal testing with FTIR obtained a spectral graph that exposure causes loss of the Nitrile (R – C≡N) functional group in the composite, causing the polymer bond chain to be broken and resulting in a decrease in the strength of the composite. The results of sample testing using TGA on samples without exposure resulted in good geometrical thermal stability properties because until the temperature of 400oC the mass of the sample decreased there was still 90% when compared to the exposure treatment, the sample mass decreased and 81% remained. DTA testing of samples with exposure to the glass transformation phase had a lower heat absorption, while the liquid phase and the composite decomposition phase with exposure had higher heat absorption.
LibGuides: Copyright Guidelines: Copyright for Instructors

Learn more about copyright, Creative Commons licenses, and guidelines for using materials in class.
Comparative Analysis of Histograms of Oriented Gradients and Local Binary Pattern Coefficients for Facial Emotion Recognition

This paper examines the human expressive states dependent on facial pictures utilizing a few viable component extraction methods. It reproduces the K-Nearest Neighbor (k-NN) classifier to approve the adequacy of successful capabilities separated from the Local Binary Pattern (LBP) and Histograms of Oriented Gradients (HOG) for the said task. An examination of the strategies has been made dependent on the normal acknowledgment precision of the classifiers utilizing the calculation unpredictability as a compromise. The component extraction methods have been approved for their discriminative force under various preparations for testing information division proportions, Kappa Coefficient, and order time. The LBP has outperformed the HOG include extraction strategy with a normal precision of 79.6% yet remains computationally costly. On the contrary, the HOG method has furnished a lower characterization time with a normal precision of 59.3 % as uncovered from our outcomes.