Reviewerly/exHarmony huggingface dataset:
Default Inheritance in Modified Statements: Bias or Inference?

It is a fact that human subjects rate sentences about typical properties such as "Ravens are black" as very likely to be true. In comparison, modified sentences such as "Feathered ravens are black" receive lower ratings, especially if the modifier is atypical for the noun, as in "Jungle ravens are black". This is called the modifier effect. However, the likelihood of the unmodified statement influences the perceived likelihood of the modified statement: the higher the rated likelihood of the unmodified sentence, the higher the rated likelihood of the modified one. That means the modifier effect does not fully block default inheritance of typical properties from nouns to modified nouns. This paper discusses this inheritance effect. In particular, I ask whether it is the direct result of composing concepts from nouns, that is, a bias toward "black" when processing "raven". I report a series of experiments in which I find no evidence for a direct inheritance from composition. This supports the view that default inheritance is rather an inference than a bias.
Research Guides: Music Performance: Keyboard Instruments: Piano: Keyboard Studies: Finding scores

Information on finding keyboard scores, research on piano music, and more. Finding scores for piano, organ, and harpsichord.
Causal Modeling with Stochastic Confounders.

This work extends causal inference with stochastic confounders. We propose a new approach to variational estimation for causal inference based on a representer theorem with a random input space. We estimate causal effects involving latent confounders that may be interdependent and time-varying from sequential, repeated measurements in an observational study. Our approach extends current work that assumes independent, non-temporal latent confounders, with potentially biased estimators. We introduce a simple yet elegant algorithm without parametric specification on model components. Our method avoids the need for expensive and careful parameterization in deploying complex models, such as deep neural networks, for causal inference in existing approaches. We demonstrate the effectiveness of our approach on various benchmark temporal datasets.
Smart Personal Assistant

This paper discusses ways in which new technology could be harnessed to create an intelligent Voice Controlled Virtual Personal Assistant (VCVPA) with a focus on user-based information. In the Modern Era of fast moving technology we can do things which we never thought we could do before but, to achieve and accomplish these thoughts there is a need for a platform which can automate all our tasks with ease and comfort. This engages the ability to communicate socially through natural language processing, holding (and analyzing) information within the context of the user. Thus we need to develop a Personal Assistant having brilliant powers of deduction and the ability to interact with the surroundings just by one of the materialistic form of human interaction i.e. ‘HUMAN VOICE’. The Hardware device captures the audio request through microphone and processes the request so that the device can respond to the individual using in-built speaker module.
Dynamic Multi-keyword Top-k Ranked Search over Encrypted Cloud Data

Distributed computing is the on-request accessibility of PC framework assets, particularly information stockpiling and registering power, without direct dynamic administration by the user. Cloud figuring gives people and undertakings gigantic processing power and adaptable stockpiling abilities to help an assortment of enormous information applications in areas like social insurance and logical research, along these lines an ever increasing number of information proprietors are included to redistribute their information on cloud servers for extraordinary accommodation in information the executives and mining. We study the issue of looking on information that is scrambled utilizing an open key framework. Consider client Bob who sends email to client Alice encoded under Alice's open key. An email passage needs to test whether the email contains the catchphrase earnest with the goal that it could course the email appropriately. Alice, then again doesn't wish to enable the passage to decode every one of her messages. We characterize and develop a component that empowers Alice to give a key to the portal that empowers the entryway to test whether earnest is a watchword in the email without getting the hang of whatever else about the email. We allude to this component as Public Key Encryption with catchphrase Search. As another model, consider a mail server that stores different messages freely scrambled for Alice by others. Utilizing our component Alice can send the mail server a key that will empower the server to recognize all messages containing some particular watchword, yet pick up nothing else. We characterize the idea of open key encryption with catchphrase search and give a few developments., we research the Multi-Keyword top-k scan issue for huge information encryption against protection breaks, and endeavour to distinguish an effective and secure answer for this issue. In particular, for the protection worry of question information, we develop a unique tree-based file structure and plan an arbitrary traversal calculation, which makes even a similar inquiry to deliver diverse visiting ways on the record, and can likewise keep up the precision of inquiries unaltered under more grounded privacies.
An Enhanced Data Storage Technique on Cloud Computing

Exercising a collection of similar numerous easy to get sources and resources over the internet is termed as Cloud Computing A Cloud storage system is basically a storage system over a large scale that consist of many independent storage servers. During recent years a huge changes and adoption is seen in cloud computing so security has become one of the major concerns in it. As Cloud computing works on third party system so security concern is there not only for customers but also for service providers. In this paper we have discussed about Cryptography i.e., encrypting messages into certain forms, it’s algorithms including symmetric and asymmetric algorithm and hashing, its architecture, and advantages of cryptography.
Preserving Data Integrity with Optimal Authentication in Cloud Computing

Cloud storage provides data storage and management service which is a cloud computing system. However, cloud storage also causes a series of security problems. When using cloud storage, users do not actually control the physical storage of their data and it results in the separation of ownership and management of data. Here, the main challenge is that the client has to update his secret keys in every time period, which may inevitably bring in new local burdens to the client. In this work, we focus on how to make the key updates as transparent as possible for the client and propose a new algorithm called cloud storage with Optimal Key Authentication. In this proposed algorithm, the Two Factor Authentication (2FA) is leveraged in many existing public auditing designs, which play the role of authorized party in our case, and make it in charge of both the storage auditing and the secure key updates. In our design, 2FA only needs to hold an encrypted version of the client secret key while doing all these burdensome tasks on behalf of the client. The client only needs to download the encrypted secret key from the 2FA when uploading new files to cloud. The proposed Temporal Reed Hash-Solomon algorithm is designed to divide data into different parts with completely efficient encoding and decoding. It ensures an effective protection of data integrity. Thus, our proposed schemes are efficient from the experiment results.
Algorithmic explanations: to become a mockingbird

As algorithms are increasingly used to make potentially life-altering decisions the importance of ensuring they meet certain standards of fairness, accountability, and transparency is becoming paramount. Complex models that are poorly understood are susceptible to bias, reliance on protected or irrelevant features, and adversarial examples. This concern has spawned interest in explainable and interpretable algorithms which allow humans to understand algorithmic decisions. Running parallel to this issue is an increasing reliance on algorithmically generated profiles to target advertisements online. Often these profiles are built on sensitive characteristics, without user knowledge or means of recourse. They can influence user perceptions of self, alter the content users are exposed to, and reveal to other parties characteristics which users have chosen not to share. This project aims to increase user autonomy and privacy online by leveraging techniques in explainable machine learning. This work begins by creating a prototype tool called Mockingbird that builds more than twenty algorithmically generated profiles based on Twitter data. These profiles are created using various techniques, including lexicons, neural networks, and Gaussian Processes. Mockingbird offers explanations for most of these profiles, primarily using a post-hoc explanatory tool. Finally, using synonym suggestions and techniques used to generate adversarial examples, Mockingbird gives users suggestions on how to alter their tweets in order to change their algorithmic profiles. Mockingbird is novel in combining profiles, explanations, and tools to change algorithmic profiles. The system was tested through several (n = 6) lab experiments to gauge user response to explanations and willingness to alter their data. It appears that users are generally not concerned about their algorithmic profiles when used for advertising, but would be much more concerned in higher stakes applications. Users were also unwilling to change their existing data to control algorithmically generated profiles, viewing the necessary changes as too disruptive to how they use social media. This work points to avenues of further research focusing explicitly on editing social media data to influence high stakes decisions such as job, visa, and loan applications.
LibGuides: All 6th Floor LibGuides: Communication

This is a listing of all of the LibGuides available for 6th floor resources. Please contact Carley Knight if you wish to have a guide made for your subject. This is a listing of all of the LibGuides (library guides) published on the subject of Communication.
AUTOMATION OF AUCTION FOR FARMER FEST

Farmers are called as backbones of India because when backbone is damaged, we are unable to stand. Farmers are compared as backbones, because Indian economy mainly depends on farmers, without farmers Indian Economy will be in critical stage. Indians proudly say India is famous for agriculture but at the same time, farmers are facing many challenges. During the growing of crops in their land and especially after cutting the cereals the main issue is to sell the cereals with good values. Our system provides a solution for selling the cereals by providing a facility that the customer can contact to the farmer directly and can be able to take customer’s order. Customer service, a collection of marketing data and online feedback respectively. To use the same function, we provide an application for farmer who have problem and difficulties by a broker who gave them less amount for their cereals. To avoid these such type of problem we make an application for them. By using this application, they can register and can put their cereals for selling and getting the actual amount of price without the interference of the third party.
Generating Instructive Questions from Multiple Articles to Guide Reading in E-Bibliotherapy

E-Bibliotherapy deals with adolescent psychological stress by manually or automatically recommending multiple reading articles around their stressful events, using electronic devices as a medium. To make E-Bibliotherapy really useful, generating instructive questions before their reading is an important step. Such a question shall (a) attract teens’ attention; (b) convey the essential message of the reading materials so as to improve teens’ active comprehension; and most importantly (c) highlight teens’ stress to enable them to generate emotional resonance and thus willingness to pursue the reading. Therefore in this paper, we propose to generate instructive questions from the multiple recommended articles to guide teens to read. Four solutions based on the neural encoder-decoder model are presented to tackle the task. For model training and testing, we construct a novel large-scale QA dataset named TeenQA, which is specific to adolescent stress. Due to the extensibility of question expressions, we incorporate three groups of automatic evaluation metrics as well as one group of human evaluation metrics to examine the quality of the generated questions. The experimental results show that the proposed Encoder-Decoder with Summary on Contexts with Feature-rich embeddings (ED-SoCF) solution can generate good questions for guiding reading, achieving comparable performance on some semantic similarity metrics with that of humans.
Robust Encoding of a Qubit in a Molecule

We construct quantum error-correcting codes that embed a finite-dimensional code space in the infinite-dimensional Hilbert space of rotational states of a rigid body. These codes, which protect against both drift in the body’s orientation and small changes in its angular momentum, may be well suited for robust storage and coherent processing of quantum information using rotational states of a polyatomic molecule. Extensions of such codes to rigid bodies with a symmetry axis are compatible with rotational states of diatomic molecules as well as nuclear states of molecules and atoms. We also describe codes associated with general non-Abelian groups and develop orthogonality relations for coset spaces, laying the groundwork for quantum information processing with exotic configuration spaces.
Analisis Potensi Kekeringan Dan Strategi Adaptasi Masyarakat Petani Di Sud Das Temon

Drought is a major disaster that needs to be built in most of the Bengawan Solo watershed, more precisely the Temon Sub-watershed (Watershed) in Indonesia. The problem of drought is caused by reduced carrying capacity of the Temon Sub-watershed and low to moderate rainfall. The objectives of this study were (1) How to aggravate the potential for drought in the Temon Sub-watershed, (2) How to adapt the farmer community to dealing with drought in the Temon Sub-watershed. This research method uses a survey method with a sampling method (Random Sample) to determine the object of farmers by collecting secondary data and primary data. The results of this study (1) That most of the areas in the Temon sub-watershed have a moderate level of potential. This drought is not only caused by the rainfall factor, but also the type of soil, geological factors also affect the drought. It can be seen that the average dry month in the Temon Sub-watershed has a total of 137 with an average of 44-47 in the rain station in the Temon Sub-watershed and it can be concluded that the climate and rainfall in the Temon Sub-Basin area has a (moderate) climate. (2) Whereas there are farmers in the Temon Sub-watershed from the high, medium and low potential classes of the majority of the community and are effective in overcoming drought. Keywords: Drought, Potential, Adaptation Strategy
Education Companion Robot for Primary Education

Technology is growing at a very fast phase stretching up to almost every domain. In which the educational domain is not left alone. Shifting from conventional offline mode to online mode of education is one thing that has become more common and advantageous these days.Emphasizing this idea, the paper deals with the development of an android application that integrates teachers and students through one platform. The application consists of three interfaces viz, an interface to go through course-related materials, an interface to take up quizzes and an interface with embedded Chabot to help students with the queries related to the course. Along with helping the students in their learning, the online mode of education helps students in being technologically connected. A few of the other advantages are; instills self-confidence and responsibility in the child, saves time and the environment is peaceful and focused.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN HOTEL DI KOTA TANJUNGPINANG DAN PULAU BINTAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

The development of technology is currently growing, one of them is the online development, which is very fast, many companies have started to offer their online in order to make the most profit, so the competition between companies is growing spare parts services. Company. This is why UMKM ZXID needs to create a web marketing information system so that consumers can easily access information as they can order directly և pay for through the website. The method used is the SDLC waterfall model, which consists of needs analysis, design, software coding, testing, marketing, and maintenance. The result of this research is a web-based marketing information system that allows consumers to easily order products to order and saves employees time and money
SeqFace: Learning discriminative features by using face sequences

Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years. Almost all CNNs in FR are trained on the carefully labeled datasets containing plenty of identities. However, such high-quality datasets are very expensive to collect, which restricts many researchers to achieve state-of-the-art performance. In this paper, a framework, called SeqFace, for learning discriminative face features is proposed. Besides a traditional identity training dataset, the designed SeqFace can train CNNs by using an additional dataset which includes a large number of face sequences collected from videos. Moreover, the label smoothing regularization (LSR) and a new proposed discriminative sequence agent (DSA) loss are employed to enhance the discrimination power of deep face features via making full use of the sequence data. Only with a single ResNet model, the method achieves very competitive performance on several face recognition benchmarks, including LFW, YTF, CFP, AgeDB, and MegaFace. The code and model are publicly available at the website https://github.com/huangyangyu/SeqFace.
Analysis on Electromagnetic Losses Distribution of Armor Rod Segment of Lightning Wire

The electromagnetic losses generated at the armor rod segment of lighting wire are the main heat source for the high temperature of armor rod segment. The local high temperature may cause damage to the lightning wire. Based on the actual distribution characteristics of the contact points between the lightning wire and armor rod, a three-dimensional electromagnetic field simulation model of armor rod segment was established by Comsol. The electromagnetic losses density distribution of armor rod segment obtained by simulation was analyzed and discussed. Subsequently, the steady-state temperature rise experiment and the contact resistance measurement experiment were combined to verify the accuracy of the simulation model. Based on the simulation model, the relationship between the electromagnetic losses of armor rod segment and the relative permeability of steel and twisting parameters of stranded wires was explored. The research results show that the simulation models are accurate enough and the error is less than 6%. The electromagnetic losses of armor rod segment are mainly concentrated on the contact points between lightning wire and armor rod. The electromagnetic losses of each row of contact points gradually decrease with the increase of the axial distance. In addition, the electromagnetic losses of the armor rod segment are positively related to the relative permeability of steel and the axial distance of adjacent contact points. Keywords : lightning wire,  armor rod,  electromagnetic losses,  relative permeability,  twisting parameters of stranded wires
LibGuides: Read alouds: Home

There are several authors who have recorded themselves reading their books to share them online while schools have moved to Continuous/distance learning.
Linguistic Refugees: to Migrate or to Translate Oneself? Female Migrant Writers’ Experiences of Writing in Italian

This article explores the experiences of female migrant writers in Italy from East-Central Europe, regarding their literary production in a second language and building on interviews conducted by the author. The analysis takes into consideration the subjective necessity of expressing oneself in a second language to communicate contents that could not otherwise be expressed. The ‘story’ of how a new language was adopted by the writers reflects their expectations not only regarding their literary career but also of their life in a new country. The choice of using a foreign language within Italian publications is analysed regarding its communicative power, suggesting that both translating and avoiding translating participate in the literary work and its message. Finally, language is seen as experience and relationship; a place where it is possible to reveal a new (artistic) self. Although translation and self-translation seem to be always implied in this context, the article suggests that translation is an inappropriate metaphor to describe writing in a second language.
Network Functions Virtualization: Challenges and Opportunities for Innovations

Network Functions Virtualization (NFV) was at the latest introduced to reform the suppleness of mechanism handling provisional and extenuate stress the time to bazaar of new handling. By leveraged virtualization processing and mercantile off-the recess schedule hardware, such as obscure motivation handling, store and button, NFV the software execution of mechanism festival and features from the basic hardware. As an supervene processing, NFV fetch diverse defiance to mechanism manipulator, such as the warranty of mechanism execution for factual appliance, their movable appliance and dwelling abroad, and their verseed placing. In this document, we bestow a concise inspection supervision of NFV, decode its Importance analysis and architectonic structure, current handling use location and debate the defiance and pending quarter for use in this investigation domain.