Reviewerly/exHarmony huggingface dataset:
LibGuides: New Faculty At FLITE and KCAD Library: Social Media @ FLITE

Welcome! This guide is designed to help new faculty at Ferris and KCAD find their way around.
On the Meaning Construction of Quantifier ‘modu’

이 글은 ‘모두’가 비례적 양화사로 기능하기 위하여 필요한 제약부 명사구의 구조를 살펴보고, 사건 양화의 쓰임새를 보이는 ‘모두’의 특성을 살피는 것이 목적이다. 비례적 양화사를 Q라고 하면, Q(A, B)는 A와 A∩B 모두에 의존하며, 구체적으로 A 속에서 A∩B가 얼마큼을 차지하느냐가 진릿값을 결정한다. A는 A∩B의 상대적 크기를 재기 위한 참조점(Et)으로 작용한다. ‘모두’는 A와 A∩B의 크기가 같다. ‘모두’는 제약부 명사구가 나타내는 집단을 개체들로 개별화한 뒤 다시 개체 합으로 집합화한다. ‘모두’는 개체 합의 무리 중에서 최대 집합을 선택하여 참조점으로 삼는다. ‘모두’의 개별화 양상은 제약부 명사구의 유형에 따라 다르다. 명사구 유형에 따라 집단이 개체들로 개별화할 수도 있고, 개체의 내부 구성원으로 개별화할 수도 있다. ‘모두’의 제약부 명사구는 단수 개체가 될 수도 있다. 단수 개체가 ‘모두’와 결합함으로써 단수 개체를 이루는 부분으로 개별화하고 이 부분들의 합이 전체 집합을 형성한다. ‘모두’는 사건 양화의 용법도 가진다. 이 경우, 사건이 진행됨에 따라 제약부의 명사구로 지시되는 한정된 개체가 영향을 받는다. 만일 한정적인 개체가 사건의 진행에 따라 전체적으로 영향을 받으면 그 사건은 완결된 것으로 해석된다.The purpose of this article is to examine the structure of the restrictor NP, which is necessary for the ‘modu’ to function as a proportional quantifier, and to examine the characteristics of ‘modu’ which shows the use of event quantification. If Q is a proportional quantifier, Q(A, B) depends on both A and A∩B, and more specifically, how much A∩B occupies in A determines the value. A acts as a reference point (Et) to determine the relative size of A∩B. In the case of ‘modu’, the size of A and A∩B is the same. ‘modu’ individualizes the group into individuals and then aggregates them into an individual sum. ‘modu’ selects the largest set among the set of individuals to be the reference point. The individualization pattern of all differs depending on the type of the restrictor NP. Depending on the type of NP, a group can be individualized into individuals or individualized into internal members of an entity. The restrictor NP of ‘modu’ can be a singular entity. A singular entity is individualized into parts, and the sum of these parts forms a complete set. ‘modu’ has the use of event quantification. In this case, as the event progresses, the limited entity is affected. If a definite entity is totally affected by the progress of the event, the event is interpreted as complete.
Survey on Access Control Mechanisms in Cloud Environments

Cloud computing is a rising paradigm used to store and compute the statistics remotely in the cloud. As the data on the server is shared with many users, providing the security has become a vital issue. To encrypt the information securely, various cryptographic algorithms are used. Attribute-based encryption (ABE) is exploited for providing safety as well as fine-grained access control. Access control (AC) is presented before the information is outsourced into the cloud. In this study, based on the security requirement, various attribute-based encryption schemes are exposed. In order to encrypt the documents/information more efficiently, distinct encipher projects are presented in a future enhancement.
In Memoriam: Benjamin Bartlett “Bart” Cannon V (1950–2019)

On 25 November 2019, the mineral world lost a true renaissance man: Benjamin Bartlett “Bart” Cannon V.To say that Bart was a mineral enthusiast would be akin to saying Babe Ruth could play baseball...
Specifying Web Interfaces for Command-Line Applications Based on OpenAPI

Command-line applications help to deal with various different tasks, reaching from automation, text manipulation or document conversion to administrating databases or firewalls. Powerful orchestrations of those applications can be created, e.g., to build Continuous Delivery or decision support pipelines. If the functionality of those applications and their orchestrations shall be used within a service-oriented architecture or as a backend of a web application, a web-compatible interface is necessary, which is usually not provided. Thus, those applications need to be retrofitted with a web interface. In this paper, we present CL2HTTP, an approach to map command-line interfaces to HTTP interfaces using an extended form of the OpenAPI service description format. The extensions specify how HTTP requests are mapped to command-line invocations and how the command-line responses are mapped back to HTTP responses. Our approach does not require any programming to specify a web interface for command-line applications, is available for public use and supports deployment as a container or lambda function in cloud environments.
TEDDY: A High-Resolution High Dynamic Range Light-Field Dataset

Light-field (LF) imaging has various advantages over the traditional 2D photography, providing angular information of the real world scene by separately recording light rays in different directions. Despite the directional light information which enables new capabilities such as depth estimation, post-capture refocusing, and 3D modelling, currently available light-field datasets are very restricted in terms of spatialresolution and dynamic range. We address this problem by capturing a novel light-field dataset featuring both a high spatial resolution and a high dynamic range (HDR). This dataset should enable the community to research and develop efficient reconstruction and tone-mapping algorithms for a hyper-realistic visual experience. The dataset consists of six static light-fields that are captured by a high-quality digital camera mounted on two precise linear axes using exposure bracketing at each view point.
Deployment of macOS Clients

Throughout this book, we have covered many macOS concepts from basic support tools, client utilities, Profile Manager, integration with technologies from Microsoft Corp, and open source deployment tools like Munki and Munki-Pkg. In this final chapter, we are going to pull all of these concepts together and step through the process of staging a standard Mac-based office environment.
Een corpus waar alle constructies in gevonden zouden moeten kunnen worden?*

In this contribution, I discuss the use of automatic syntactic annotation in Dutch corpus research, using a case study of five-verb clusters.Large amounts of text can be annotated automatically, but the parser makes mistakes, while correct annotation is very important in linguistic research.How much of a problem is this, and how can we learn about the extent of these parsing mistakes?There are several approaches to evaluating the quality of automatic annotation for specific research questions.I demonstrate these approaches for the case study at hand, which will help us to make claims based on automatically annotated corpus data with greater confidence.
Promoting Sangiran by using bilingual booklet

The objective of this report is to explain the internship activities that I did at BPSMP Sangiran for a month from 24th January 2019 to 25th February 2019.There were 2 activities I did, firstly, I created descriptive and persuasive article about Sangiran Museum in Indonesia and then translated it into English, and secondly, I made a booklet using these bilingual texts. In doing those activities, I found some problems, such as observing the Site, translating difficult words, and designing the booklet. So I also showed the way I resolved those problems by using online and offline dictionary, parallel text internet, and discussing the problems with my friends and also the supervisor and the staff of Sangiran Museum. These matters I did in order to produce high quality translation and good quality booklet.
LibGuides: APA Referencing Style : Home

The aim of this guide is to present concisely the basic rules for citing various types of resources in APA Referencing Style (6th edition).
HEALTH RISK ASSESSMENTS OF HEAVY METALS IN SOIL FROM THE VICINITY OF A KAOLIN MILLING PLANT IN ALKALERI BAUCHI STATE, NIGERIA

This study concerns the health risk assessments of soil from the vicinity of a Kaolin milling plant in Alkaleri, Bauchi State. The aim is to determine the concentration of elements and the health risk assessments of heavy metals in the soil in the Kaolin milling plant. Soil samples were collected from twelve (12) sampling points from the vicinity of the milling plant using hand auger at the depth of 0 – 15 cm. The elemental analysis of the soil samples was carried out using Neutron Activation Analysis (NAA). Pb and Zn were determined using the Atomic Absorption Spectrophotometer after digestion with a mixture of HCl and HNO3 in 1:3 ratios. The results showed the concentration of heavy metals in mg/kg were As = 0.581±0.49, Cd = 0.445±0.74, Cr = 59.64±40.12, Co = 2.84±1.08, Cu = 6.78±13.9, Mn = 138.6±27.9, Pb = 11.36±2.98, V= 28.54±4.96, and Zn = 95.42±32.24. The health risk assessment was carried out using the method developed by the United States Environmental Protection Agency. The health risk assessment showed the daily exposure doses of heavy metals are in the order of Mn &gt; Zn &gt; Cr &gt; V &gt; Pb &gt; Cu &gt; Co &gt; As &gt; Cd for the three pathways. The exposure pathways trend decreases in the order Ingestion &gt; dermal &gt; inhalation. The hazard index (HI) of heavy metals in soil for non-carcinogenic effect is in the order Cr &gt; Co &gt; V &gt; Pb &gt; As &gt; Mn &gt; Cd &gt; Zn &gt; Cu, the HIt is far less than 1 which is the safe value. The cancer risk index (RI) of the metals for carcinogenic effect in the soil from the vicinity of the kaolin milling plant through the inhalation pathway is in the order Cr &gt; Co &gt; As &gt; Cd, also within the safe value of 10–6 – 10–4. These indicate that the soil in the vicinity of the Kaolin milling plant does not pose a major adverse health effect.
Library Guides: Learn at Home!: STEM for Kids

We understand that you can't always make it to the library, so here are some great resources to learn and enjoy books at home! Check back later; more resources coming soon.
Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments

In dynamic environments, the main aim of an optimization algorithm is to track the changes and to adapt the search process. In this paper, we propose an approach called the Bayesian Immigrant Diploid Genetic Algorithm (BIDGA). BIDGA uses implicit memory in the form of diploid chromosomes, combined with the Bayesian Optimization Algorithm (BOA), which is a form of Estimation of Distribution Algorithms (EDAs). Through the use of BOA, BIDGA is able to take into account epistasis in the form of binary relationships between the variables. Experiments show that the proposed approach is efficient and also indicates that exploiting interactions between variables is important to adapt to the newly formed environments.
The validity of M-Learning based physics teaching materials to improve student learning access in the digital age

Abstract The development of high-quality m-learning based physics teaching materials, needs validity from some experts, so that the product developed can be implemented in physics learning in senior high school. This research has purpose to test the validity of M-Learning based physics teaching materials to improve student learning access in the digital age. The type of this research is Research and Development. The development model used is the development procedure of Thiagarajan (4-D model) includes define, design, develop and disseminate. The assessment instrument used was in the form of a questionnaire consisting of three components, that are content, construct, and language. Based on the result of the study, the result of the feasibility test by expert lecturers and teachers obtained the feasibility of the product with a valid predicate so that it can be used as a source of senior high school physics learning.
Two-stage Image Classification Supervised by a Single Teacher Single Student Model.

The two-stage strategy has been widely used in image classification. However, these methods barely take the classification criteria of the first stage into consideration in the second prediction stage. In this paper, we propose a novel two-stage representation method (TSR), and convert it to a Single-Teacher Single-Student (STSS) problem in our two-stage image classification framework. We seek the nearest neighbours of the test sample to choose candidate target classes. Meanwhile, the first stage classifier is formulated as the teacher, which holds the classification scores. The samples of the candidate classes are utilized to learn a student classifier based on L2-minimization in the second stage. The student will be supervised by the teacher classifier, which approves the student only if it obtains a higher score. In actuality, the proposed framework generates a stronger classifier by staging two weaker classifiers in a novel way. The experiments conducted on several face and object databases show that our proposed framework is effective and outperforms multiple popular classification methods.
A Proposal for Intelligent Agents with Episodic Memory.

In the future we can expect that artificial intelligent agents, once deployed, will be required to learn continually from their experience during their operational lifetime. Such agents will also need to communicate with humans and other agents regarding the content of their experience, in the context of passing along their learnings, for the purpose of explaining their actions in specific circumstances or simply to relate more naturally to humans concerning experiences the agent acquires that are not necessarily related to their assigned tasks. We argue that to support these goals, an agent would benefit from an episodic memory; that is, a memory that encodes the agent's experience in such a way that the agent can relive the experience, communicate about it and use its past experience, inclusive of the agents own past actions, to learn more effective models and policies. In this short paper, we propose one potential approach to provide an AI agent with such capabilities. We draw upon the ever-growing body of work examining the function and operation of the Medial Temporal Lobe (MTL) in mammals to guide us in adding an episodic memory capability to an AI agent composed of artificial neural networks (ANNs). Based on that, we highlight important aspects to be considered in the memory organization and we propose an architecture combining ANNs and standard Computer Science techniques for supporting storage and retrieval of episodic memories. Despite being initial work, we hope this short paper can spark discussions around the creation of intelligent agents with memory or, at least, provide a different point of view on the subject.
Payment Channel Attack Vectors

Criminals are predators, seeking any opportunities to exploit bad practices or poorly configured, or managed, systems. Increasingly, consumers are seeking to use more convenient, efficient, and quicker ways to purchase goods or services. In response to this demand, businesses are turning to new technologies to meet customer expectations.
Waveguide Quantum Electrodynamics in Superconducting Circuits

In the last two decades, the field of circuit quantum electrodynamics, that studies the interaction between superconducting qubits and 1-dimensional waveguides, has been of great interest. It provides a great potential to build quantum devices, which are important for quantum computing, quantum communication and quantum information. The restriction to one dimension decreases losses and information can be transferred efficiently. Superconducting qubits are artificial atoms that consist of a non-linear Josephson element and work in the microwave regime. These superconducting qubits make on-chip tunable quantum experiments possible. In the appended paper, we investigate the spontaneous emission of an initially excited artificial atom (superconducting transmon qubit) which is capacitively coupled to a semi-infinite transmission line (atom in front of a mirror). We can choose the distance to the mirror arbitrarily so the interaction with the reflected field is delayed if the qubit is far away from the mirror and we have to take time-delay effects into account. We derive equations of motion for the transmon by circuit quantization and solve them semi-classically. In this thesis we give an introduction to circuit quantization, transmission lines and superconducting qubits. Then we discuss the methods and results of the appended paper which are based on the topics introduced.
How Quantum is the Speedup in Adiabatic Unstructured Search

In classical computing, analog approaches have sometimes appeared to be more powerful than they really are. This occurs when resources, particularly precision, are not appropriately taken into account. While the same should also hold for analog quantum computing, precision issues are often neglected from the analysis. In this work we present a classical analog algorithm for unstructured search that can be viewed as analogous to the quantum adiabatic unstructured search algorithm devised by Roland and Cerf [Phys. Rev. A 65, 042308 (2002)]. We show that similarly to its quantum counterpart, the classical construction may also provide a quadratic speedup over standard digital unstructured search. We discuss the meaning and the possible implications of this result in the context of adiabatic quantum computing.
A Study on Research the Educational Content and Implications of Ancient Chinese Scholarship

This paper is to study on Research the educational content and implications of ancient Chinese scholarship. In everyday life, social activities, production activities, and scientific activities, people became knowledge by summarizing what people understood about things. Academic performance is included in the content of the curriculum to select and organize curriculum content, and the content and curriculum of the education reflect academic performance and these results are passed on to future generations. In order to understand the contents of ancient Chinese education and the development and change of the curriculum, we must first understand the changes in ancient Chinese academic thoughts. Chinese scholarship has continued through the process of bending, including prosperity and decline. The Chinese embraced and assimilated outpatient scholarship and were also good at change. Chinese scholarship is characterized by originality, continuity, inclusiveness and unity. China
A Study on the Motivation of the Storytelling Contest, Career Development, Self-efficacy and Job Satisfaction of the Kangwon Culture Tourism Commentator

In order to achieve the goal of this study, we analyzed how the motivation for participating in the storytelling contest of Kangwon culture tourism commentators influenced on career development, self-efficacy and job satisfaction, and analyzed the relationship among the factors. In addition, I tried to suggest the strategic implications for the local economy revitalization and local government officials through the creation of new tourism demand. The selected of the Kangwon Culture Tourism commentators were surveyed. Of those selected, 143 valid and completed copies of the questionnaire were used for the research. Frequency, factor, reliability and regression analyses with SPSS 20.0 & AMOS 18.0 were conducted on the data. First, it was shown that amusing motivation, accomplishment motive, and social motivation, which were the motives for the storytelling contest of the Kangwon Culture Tourism Adviser, had a statistically significant effect on the career development of the commentator. Second, career development of cultural tourism commentators affects self-efficacy and job satisfaction. Third, the self-efficacy of cultural tourism commentators has a statistically significant effect on job satisfaction.
A method of automatic text summarisation based on long short-term memory

Deep learning is currently developing very fast in the NLP field and has achieved many amazing results in the past few years. Automatic text summarisation means that the abstract of the document is automatically summarised by a computer program without changing the original intention of the document. There are many application scenarios for automatic summarisation, such as news headline generation, scientific document abstract generation, search result segment generation, and product review summarisation. In the era of internet big data in the information explosion, if the short text can be employed to express the main connotation of information, it will undoubtedly help to alleviate the problem of information overload. In this paper, a model based on the long short-term memory network is presented to automatically analyse and summarise Chinese articles by using the seq2seq+attention models. Finally, the experimental results are attached and evaluated.
PERBANDINGAN EFEKTIVITAS MODEL PEMBELAJARAN TIPE NUMBERED HEADS TOGETHER DAN TEAM ASSISTED INDIVIDUALIZATION PADA MATERI STATISTIKA SISWA SMP NEGERI 1 REMBOKEN

ABSTRACT. This research was aimed to determine the differences of the student learning outcomes on those who used the NHT model of learning, TAI model and DI model on statistic lessons. This research was conducted at SMP Negeri 1 Remboken during the odd semester of the 2019/2020 academic year. Data analysis employed the Anova statistic found that the average learning outcomes of the first experimental group, whom treated using the NHT model of learning, were the highest among the compared groups, which scored 82.2. The average of the students learning outcomes of the second experimental group, who used the TAI model was 70.32 and the average of the students learning outcomes of the control class who used the Direct Instruction model was 66.72. Based on the ANOVA results, it was concluded: (1) The average of the students learning outcomes who used the NHT model were more the average of the students learning outcomes who used the TAI model, (2) The average of the students learning outcomes who used the NHT model was more the average of the students learning outcomes who used the DI model, (3) The average of the students learning outcomes who used the TAI model was more the average of the students learning outcomes who used the DI model. Key Words: DI, NHT, TAI, The Students Learning Outcomes
Generative Content Co-creation: Lessons from algorithmic music performance

This article examines the features of algorithmic music performance systems and considers how these might apply to other generative content creation contexts. Based on the assumption that all generative processes are performative, the article draws from an analysis of live algorithmic music practices, it outlines lessons that may be helpful more generally for co-creation with algorithmic systems. In particular the article discusses algorithm selection and expression, the architecture of algorithmic system design, the effects of materiality on algorithmic performance, and how co-creative strategies openly embrace the influence of humans as agents in generative content systems.
CyberCrime in India and Its Impact

Cybercrime combines the term with the root cyber from the word cybernetic, from the Greek, kubernân, which means to lead or govern. The cyber environment includes all forms of digital activities, regardless of whether they are conducted through networks and without borders. This extends the previous term computer crime to encompass crimes committed using the Internet, all digital crimes, and crimes involving telecommunications networks. This more recent terminology covers a wide variety of facets, leading to different approaches, depending on the dominant culture of the experts, making it appear either reduced or expanded, in different dimensions, dealing with emerging issues that also reflect its diversity. Crime is a social and economic phenomenon and is as old as the human society. Crime is a legal concept and has the sanction of the law. Crime or an offence is “a legal wrong that can be followed by criminal proceedings which may result into punishment.” The hallmark of criminality is that, it is breach of the criminal law. Per Lord Atkin “the criminal quality of an act cannot be discovered by reference to any standard but one: is the act prohibited with penal consequences”.
LibGuides: Off Campus Access to Library Resources and Support: Find Articles

This page helps you find the right database for your project, and explains a bit about how to search.