Reviewerly/exHarmony huggingface dataset:
An Efficient CNN Model to Detect Copy-Move Image Forgery

Recently, digital images have become used in many applications, where they have become the focus of digital image processing researchers.Image forgery represents one hot topic on which researchers prioritize their studies.We concentrate on the copy-move image forgery topic as a deceptive forgery type.In copy-move image forgery, a part of an image is copied and placed in the same image to produce the forgery image.This paper proposes an accurate convolutional neural network(CNN) architecture for the effective detection of copy-move image forgery.The proposed architecture is computationally lightweight with a suitable number of convolutional and max-pooling layers.We also present a fast and accurate testing process with 0.83 seconds for every test.Many empirical experiments have been conducted to ensure the efficiency of the proposed model in terms of accuracy and time.These experiments were done on benchmark datasets and have achieved 100% accuracy.
CV-MDI-QKD with coherent state: beyond one-mode Gaussian attacks

The security proof of continuous variable (CV) measurement device independent (MDI) quantum key distribution (QKD) cannot be reduced to the analysis of one-mode Gaussian attacks (in particular, independent entangling-cloner attacks). To stress this point, the present note provides a very simple (almost trivial) argument, showing that there are an infinite number of two-mode Gaussian attacks which cannot be reduced to or simulated by one-mode Gaussian attacks. This result further confirms that the security analysis of CV-MDI-QKD must involve a careful minimization over two-mode attacks as originally performed in [S. Pirandola et al., Nature Photon. 9, 397-402 (2015)].
A Model for Enhancing Project Lead The Way Teacher Knowledge in Software Applications

started her career at Baltimore Gas and Electric (BGE
A Culminating Experience Model For Master’s Students

Most graduate schools that offer Master's Degrees require some sort of culminating experience.These culminating experiences usually consist of a thesis or project, or an examination based on certain core courses.Department of Manufacturing Systems Engineering and Management (MSEM) at California State University, Northridge (CSUN) offers Master's Degrees in Engineering Management.The program is offered both in residential mode and online mode.Students in both programs must satisfy the same admission requirements and must fulfill a culminating experience course.This culminating experience is individually designed between each student and his/her faculty advisor.Each student selects two case studies from a pool of developed case studies.These case studies have been designed to allow students to demonstrate their ability to utilize and apply the knowledge and skills gained throughout the Master of Science in Engineering Management degree program.This paper describes the process that students go through during the culminating experience course and expresses how the case studies were developed.It explains a set of underlying beliefs that give life to courses and guide program implementation.Finally it presents a set of issues important in transferring the experience to other graduate schools who offer engineering management programs.This culminating experience model replaces a comprehensive exam.
A Proposed Framework for Teaching Team-effectiveness in Team-based Projects

This paper outlines the pedagogical foundations and preliminary design of a proposed on-line tool to support the teaching of team-effectiveness skills through team-based projects.This online tool allows students to learn about team-effectiveness and their individual teameffectiveness competencies through the use of self-and peer-assessment in their project teams.The development of our team-effectiveness framework is described with a focus on how it aims to stimulate students to provide mature feedback.Methods used to motivate students to learn about and improve their team-effectiveness competencies are also described.The intended integration of the tool into the curriculum is outlined, highlighting an on-line student portfolio on team-effectiveness that allows students to track their improvement longitudinally across different project teams throughout their undergraduate studies.This work has been developed for teambased design projects in undergraduate engineering but is also applicable in other disciplines.
1 Disappointment, or, Thoreau in Love

This chapter talks about Henry David Thoreau's anecdote in the “Ponds” chapter of his work Walden (1854), a passage that condenses many of the principal elements of Thoreau's style, humor, and his genuine idiosyncrasy as both writer and thinker. It introduces and analyzes this other Thoreau, which shuttles in the work between anger and wistfulness, pained confusion and, at telling moments, a dreamy imaginative extravagance. Thoreau was not just a man disappointed in others; he possessed a kind of genius for disappointment. His hallmark disappointment can be viewed less as the sign of resignation, or apathy, than as a particular kind of yearning. It is this yearning, tuned to the note of expectancy, that makes Thoreau so engaging and suggestive a figure in the American history of sexuality. Thoreau's is a voice that speaks from before the apotheosis of those now commonsensical renderings of sexuality.
Software Documentation and Human-Factors Design

Capable and venturesome writers can thus have a hand in screen design and command-wording, and even work alongside engineers in basic product design. The most basic requirement is that the product ought to work. The finer points concern how well it works, how easy it is to learn and use, how well it interacts with products. In most operating systems, commands that deal with strings of text can include characters called wildcards. Perhaps the seminal idea behind a good human interface will come from one person, that being the nature of things, but as with other aspects of software design, the process of working through the details can involve a good many people. Legal issues are likely to bear upon user-interface design more and more in the wake of several “look and feel” lawsuits filed in the late 1980s, but as of this writing it is too early to say anything concrete about their effect.
Generalizing JPS Symmetry Detection: Canonical Orderings on Graphs

The Jump Point Search (JPS) algorithm is designed explicitly for search on grids; it uses grid-specific properties to reduce symmetry and provide faster optimal search without pre-computation. Recent work has broken the algorithm down into three components: a best-first search, a canonical ordering of states, and a jumping policy. This paper shows how a canonical ordering can be built on general graphs and used in a similar manner to the canonical ordering of JPS. This approach is able to significantly reduce the number of states generated by an A* search, but more work is needed to optimize and fully characterize the correctness of the approach.
An Online Engineering Statics Problem Set System

This paper details the development of a new on-line homework distribution and grading system for engineering statics.The system allows students to form solutions while allowing them to test hypotheses, interrogate the system, and sketch accompanying free body diagrams.The system grades the student's work and provides feedback while allowing the freedom to form a solution as the student sees fit.The software attempts to provide the student with a digital piece of paper on which to outline their solution.The instructor is provided with the student's grade, a copy of the student's solution, and performance metrics for the entire class.The system is currently being tested at Merrimack College in an Engineering Statics Course.
Improving Technical Literacy Of The General Student Population

This paper addresses some of the challenges of teaching engineering courses to non-engineering majors at California State University, Northridge.One of these courses is Introduction to Computer-Aided Graphics Tools offered by Manufacturing Systems Engineering and Management department (MSEM).This course was designed to enable computer illiterate students to achieve success in the use of a CAD software package.The course is unique for several reasons: 1) it is the first course that an Engineering department at CSUN has ever offered for non-majors, 2) it is the first computer graphics course taught by an engineering department at CSUN that was approved as a general education breadth course, and 3) it is the first freshmanlevel General Education course taught by the MSEM department faculty.The challenges we faced in teaching this type of course to non-technical students are many and varied.In this paper, we focus on a subset of ideas and methods that we used to develop this course.One of the ideas, for instance, is to raise the level of technical literacy in the general student population on campus.This includes a substantial number of students with substantial math deficiencies.The ideas that we have developed in this course can be expanded to enhance technical literacy.This has led us to develop other General Education breadth courses that will be discussed in the paper in more detail.
An Efficient Methodology To Design Multi Branch Sequencers Using El Naga's Transitions Technique

Designing a multi-branch sequencer using the conventional method of designing sequential circuits is a very long process that might take few hours and it does not provide a mean for the designer to check the correctness of his/her design until the implementation phase.Using the conventional method, it is very hard for teachers to present this subject and very hard for the students to understand it.In this paper, an efficient procedure to design these type of sequencers based on the use of El Naga's Transitions technique is presented.This technique is based on the use of the four transitions: α, the transition from 0 to 1, β, the transition from 1 to 0, I, the transition from 1 to 1, and ϕ, the transition from 0 to 0. This procedure cuts the design time by more than 80%.This technique also provides the designer of logical sequential circuits with various testing algorithms that check the correctness of almost every step in the design procedure.If the provided testing algorithms are followed after each step of the design, the final design will almost be error free.The innovated design technique that is presented in this paper makes the process of designing, teaching and understanding multibranch sequencers much simpler.1. α, the transition from 0 to 1, 2. β, the transition from 1 to 0, 3. I, the transition from 1 to 1, and 4. ϕ, the transition from 0 to 0.The transition methodology is based on the use of these four transitions.For a particular data input of a specific type of flip-flop, any of the above transitions could be either an essential transition, don't care transition, or a zero transition.These are explained in the following:Page 8.187.
Surfing The Internet For Granting Sources

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2545 Surfing the Internet for Granting Sources Michael Mandili, Wendy Culotta Library, California State University, Long Beach The Internet holds much promise for the future for those seeking funding opportunities for grants. At the present time, one can search free search engines which search multiple search engines, i.e. Savvy Search, or single search engines such as InfoSeek for key words. Or one can go to the sites they are already familiar with, such as the home pages of the National Institutes of Health or the National Endowment for the Humanities at known sites like FEDIX, SPIN, or IRIS. Or they can search by keyword and find specific sites to investigate. Or they can subscribe to services - some of which are free, which offer any number of means to match the requestor up with what is available, such as Community of Science. Through these services one can sign up for notification of information to come to them based on a profile they generated themselves. Or they can search grant databases through online services such as DIALOG for opportunities in their fields. Other services and sites are becoming available every day. Add these opportunities to the new developments which will permit the electronic submission of grants and the eager researcher can see that the future is wide open! In-depth coverage of such a large, growing and exiting area is not possible in the space of this paper. We condensed the information into a summary of the major opportunities, including the current URLs when possible. A literature search in the databases covering education and library science for research opportunities on the internet yielded little at this time, though Fehrman's "Internet Resources for Psychology" (1) and other references were found. In general they offered an awareness of the availability of the internet for granting sources, but relatively little has been published about it yet. MULTIPLE SEARCH ENGINES Savvy Search (http://wagner.cs.colostate.edu:1969/) is an example of an internet search engine which searches nineteen search engines simultaneously. Among the engines searched are: Web Crawler, Inktomi, Lycos, Aliweb, Excite, InfoSeek, Yellow Pages, DejaNews, 1996 ASEE Annual Conference Proceedings
A Token Economics Explanation for the De-Pegging of the Algorithmic Stablecoin: Analysis of the Case of Terra

The collapse of Terra's algorithmic stablecoin UST shocked the cryptocurrency market. This study investigates the underlying causes of the de-pegging event through an in- depth analysis of the token economics of the Terra blockchain. Using on-chain data, this study identifies a misalignment in the economic incentive structure of the blockchain protocol as a key contributor to the de-pegging. It is found that an undercompensation of UST when it was redeemed played a significant role in the de-pegging event, with the UST price on cryptocurrency exchanges following the redeemed value of UST that users could obtain by swapping UST for LUNA and selling it on the market. The results highlight the importance of properly designing the incentive structure of blockchain protocols to ensure their sustainability and security.
NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data

The gold standard for the diagnosis of oral cancer is the microscopic analysis of specimens removed preferentially through incisional biopsies of oral mucosa with a clinically detected suspicious lesion. This dataset contains captured histopathological images of oral squamous cell carcinoma and leukoplakia. A total of 237 images were captured, 89 leukoplakia with dysplasia images, 57 leukoplakia without dysplasia images and 91 carcinoma images. The images were captured with an optical light microscope, using 10x and 40x objectives, attached to a microscope camera and visualized through a software. The images were saved in PNG format at 2048 × 1536 size pixels and they refer to hematoxylin-eosin stained histopathologic slides from biopsies performed between 2010 and 2021 in patients managed at the Oral Diagnosis project (NDB) of the Federal University of Espírito Santo (UFES). Oral leukoplakias were represented by samples with and without epithelial dysplasia. Since the diagnosis considers socio-demographic data (gender, age and skin color) as well as clinical data (tobacco use, alcohol consumption, sun exposure, fundamental lesion, type of biopsy, lesion color, lesion surface and lesion diagnosis), this information was also collected. So, our aim by releasing this dataset NDB-UFES is to provide a new dataset to be used by researchers in Artificial Intelligence (machine and deep learning) to develop tools to assist clinicians and pathologists in the automated diagnosis of oral potentially malignant disorders and oral squamous cell carcinoma.
SPECIFICITIES OF LEARNING THE ITALIAN LANGUAGE AND CULTURE IN THE ENVIRONMENT OF NATIVE SPEAKERS

The article touches upon the issue of integration of foreigners into another language and cultural environment on the example of Ukrainians who come to Italy for work. The theoretical basis of the article is works by Ukrainian and foreign scholars on linguistic and culture studies, psycholinguistics, psychology, methods of acquiring a foreign language, translation studies. Besides, the focus has been upon close interrelation between the knowledge of a foreign language and the ability to understand and adapt to a new culture and mentality. On the basis of the modern relevant theories the process of learning a foreign language is compared with acquisition of a native language by a child. The practical basis of the article is the author’s observations of the process of interlanguage and intercultural communication between Italians and Ukrainians in different everyday situations and the quality of acquisition of the Italian language and culture by the latter. In this research the everyday communicative situations include family and interpersonal relations, the spheres of cooking and housekeeping, the attitude to religion and work. With the help of illustrative examples from real communication the article highlights a certain similarity between Italian and Ukrainian characters and world perception, and the absence of considerable differences between the Italian and Ukrainian language systems, which facilitates a fast integration of Ukrainians into the Italian language and cultural space. Also, for illustration, we have highlighted phonetic, lexical, and grammar parallels between the Italian and Ukrainian languages. Ukrainians who have lived in Italy for quite a long time are fluent enough in the Italian language. However, if they do not approach studying of the language professionally their speech lacks grammatical correctness and vocabulary diversity. Hence, we have made conclusion that just staying in a foreign environment is not sufficient for a high-standard command of a language. For this purpose, one needs to make corresponding strong-willed efforts and to apply the language on all the levels of communication. At the end of the article we have singled out a range of issues for further research and development of the aforementioned topic.
A Phrase Disambiguation Method of “Quanbu V de N” Based on SBERT Model and Syntactic Rule

A method combining syntactic rule and semantic preference in resolving ambiguous structures “全部V的N (Quanbu V de N)” is proposed in this paper. First, a rule base is constructed, and the rules of ambiguity division are described in accordance with the syntactic structural constraints and semantic representation function. Secondly, the homomorphic and heterogeneous phrase is converted into two heteromorphic phrases “全部都V的N (Quanbu dou V de N)” and “全部的V的N (Quanbu de V de N)”. We use the SBERT model to calculate the semantic similarity between the original sentence and the two candidate sentences so that the optimal phrase segmentation is obtained. The experiment was conducted on 646 texts with ambiguous phrases “Quanbu V de N” as the object for testing. The disambiguation accuracy and the F1 value are both over 95%, which proves that this method can effectively disambiguate this phrase in natural language.
Building a Corpus for Chinese Causality Extraction in Futures Domain

Causality extraction is to extract cause events and effect events from text, which is the basis for constructing causal event graphs and doing causal reasoning. The research on causality extraction needs the support of annotated causality corpus. In this paper, we construct an annotated causality corpus based on texts from Chinese futures domain. We annotate whether a sentence contains causality and for a causal sentence we further annotate spans of both cause and effect. Based on the 5557 cause and effect pairs, we analyze the distribution, categories of causal events and cases of causal chains in futures domain. Preliminary experiments on automatic causality extraction show an exact matching accuracy of 71.38%.
Irony Recognition in Chinese Text Based on Linguistic Features and Attention Mechanism

As a rhetorical means of expressing emotional tendency, irony is challenging to identify and analyze because of the contrast between its actual semantics and literal expression. To improve the accuracy of sentiment analysis and increase the understanding of the phenomenon of irony, this paper conducts a study on Chinese irony recognition. By analyzing the characteristics of irony in Chinese social media texts, we refine irony linguistic features and integrate them into a deep learning model through the attention mechanism to construct a new Chinese irony recognition model. The experimental results indicate that the proposed method has certain advantages over classical purely data-driven deep learning models in terms of both performance and interpretability.
Automatic Recognition of Verb-Complement Separable Words Based on BCC

This research is aimed to summarize rules to automatically recognize verb-complement separable words from the perspective of information processing. First, the research based on the BLCU Corpus Center (Abbreviated BCC throughout), uses its retrieval function for verb-complement separable words to perform an exhaustive search for all of them in The Contemporary Chinese Dictionary, and calculate their Positive Rate of identification. Second, summarize and count the internal insertion components of verb-complement separable words in tens of thousands of corpus, observe the before and after components, and conclude them into the corresponding separated form. Research points out the reasons why the corpus recognizes them as verb-complement separable words incorrectly: the result of the machine’s segmentation is wrong, the separated form of verb-object separable words is recognized as a separated form of verb-complement separable words, a morpheme in a compound directional verb is fetched alone, two independent verbs are seen as a separated form, the overlapping usage of verb-complement separable words can’t be recognized accurately, and the ability to deal with polysemous and polysyllabic words is not strong. Finally, transform the separated form from the perspective of linguistics into the corresponding rules that can be recognized by the computer, and write the program for experimentation. This program can make further judgments based on the separable word retrieval of the corpus itself, and realize that the recognition accuracy of these separated words can be increased to more than 90%.
Chinese Argument Identification Based on Bert

Traditional semantic role labeling is mostly based on the results of syntactic analysis. On the basis of syntactic analysis, argument identification and argument classification are carried out in two steps. Due to the problem of error cascade, the effect of argument identification directly determines the quality of semantic role labeling. However, converting the semantic role labeling into a sequence labeling task tries to ignore syntactic information, which increases the difficulty of the model and relies on limited labeling data. Therefore, this paper focuses on improving the accuracy of Chinese argument identification, that is, identify all candidate arguments given a predicate. Specifically, based on the results of Chinese chunk dependency parsing, an argument identification model is built based on the pretrained language model BERT (bidirectional encoder representations from transformers). The AUC of the model reaches 97.18% and the accuracy reaches 98.10%, which provides a reliable data for subsequent argument classification task. At the same time, large-scale pretrained language model can overcome the problem of sequence dependency, and perform well in argument identification of complex sentences.