Reviewerly/exHarmony huggingface dataset:
Detecting Indonesian ambiguous sentences using Boyer-Moore algorithm

Ambiguous sentences are divided into 3 types namely phonetic, lexical, and grammatical. This study focuses on grammatical ambiguous sentences, grammatical ambiguous sentences are ambiguities that occur due to incorrect grammar, but this ambiguity will disappear once it is used within a sentence. Ambiguous sentences become a big problem when they are processed by a computer. In order for the computer to interpret ambiguous words correctly, this study seeks to develop detection of Indonesian ammbiguous sentences using Boyer Moore algorithm. This algorithm matches ambiguous sentences that are inserted as input with the data set. Then the sentence is being detected whether it contains ambiguous sentences, by calculating the percentage of similarity using cosine similarity method. Cosine similarity system is able to find out the meaning of the sentence. In the data set, the number of ambiguous sentences that can be collected is 50 words. The 50 words consist of ambiguous words data, ambiguous sentences, and ambiguous sentence meanings. This system trial was carried out for 200 times and the accuracy level was 0.935, precision was 0.9320, and Recall was 0.8. While the F-Measure was 0.8061. While the speed for word search 0.003275 seconds.
Research Guides: ENGL 1013: Composition I: MLA Style Citation

This guide presents some library resources useful for the paper assignments in Composition 1 classes.
고령자 학습 유형별 노인복지관 교육공간 프로그램 분석

The purpose of this study is to prepare a plan for educational space for the elderly welfare center where successful can be achieved. The research method is literature review and case analysis. This course examines the definition and meaning of the theory of aging education(Geragogy) and examines the programs of the elderly welfare center. Eight learning space analysis frame were established through the relationship between types of elderly learners and aging education programs. The analysis results are as follows. First, the most common type is B-b type, which supports aged learners who create culture, with the largest number of 42 spaces. Next, there are 19 spaces of type A space that can support working and learning lifelong learners. On the other hand, Type C, which supports careful and volunteer learners, has four spaces. As a result of this study, four types of the theory of the elderly education (Geragogy) can be related to the program and applied to the space. And we find that the four types of education for the elderly are not evenly distributed. These results indicate that the current aging education program of the elder welfare center is biased in one direction. Therefore, in order to prepare a plan that can meet the needs of the upcoming baby boomers, it is understood that various educational program spaces should be provided.
Difficulties Learning Bones and Muscles? Study at Home with 3D‐Printed Bones

Some schools of Medicine are giving 3D‐skull models to students. Those models can be taken home to improve the association, memorization, and integration of structures and function in the learning process. On the other hand, studies conducted on Healthcare students reported that the most common learning styles are kinesthetic and visual. The problem The course BIO 201 Laboratory (Anatomy and Physiology I) offers multiple topics to support lectures in a span of 15–16 weeks but with typically only one 2–3 hour session per week. In the chapters of Bones, Muscles, and Joints, the time in the lab in which the student is exposed to those materials is about three to five Labs in the semester. At that time, the student must memorize multiple structures and relate them with their function (physiological movements). Students are studying with the help of 3D models (skeleton and isolated bones) in the Lab, and 2D‐images (book or computer). In some institutions, BIO 201 labs can have digital support with 2D‐images projected to a 3D‐image, a significant advance. However, the learning style plays an essential role in healthcare students. The Survey A voluntary survey was conducted in the BIO 201 class in Fall 2019. Of 118 students in the class, 74 students answered the survey. The primordial Learning style was 66.2% visual followed by a 25% kinesthetic. Moreover, from all the groups, 76.4% reported having difficulties in learning Bones, muscles, and joints. Interestingly, from the students having difficulties in the learning, 70.9% answered having problems to transform 2D‐images into 3D structures (visualize and identify structures in bones and 3D models). Let us remember, in most institutions, 3D models only are accessible in Lab time, and schedules on labs are not always ideal for students for extra‐reviews. In our survey, 70.5% students are studying at home with 2D‐image (book and or computer) and 19.7% from videos. Then, how can we bring bones, joints, and muscles to students with those difficulties? The feasible solution Real 3D‐bones are expensive and bulky. The alternative is to use a 3D printer as a tool to prepare a set of bones for students. The quality these days is fantastic; bones can show features and students can mark them to identify origin and insertion of muscles. A 3D‐printed bones set can be reused and easily repaired in case of loss. 97.3% of students are willing to use them at home, and 98.6% of the group consider it an excellent tool for helping them to learn. Conclusion We believe that 3D‐printed bone support in the BIO 201 course can help students with difficulties in the transformation from 2D‐images to 3D‐structures. It is an easy access tool and accepted by students, cheap, reusable and replaceable in case of loss. Students can easily identify a structure in the 3D models. Studying Bones, Joints and Muscles with 3D‐Printed Models at Home. Figure 1
Image Steganography Using Lsb

Steganography is defined as the study if invisible communication .it is usually deals with the way of hiding the  information of the  existence of the communicating  data ,it hides the facts of information ,it is aart of converting  one digital to another digital media and retrieving the  same information  afterwards . These paper concentrates on a method of hiding  text to image  by using the least significant bit and by using the symmetric key between the sender and the receiver to choose which bits are needed to be embedded to minimize the resolution between the original image and the stego-image ,this  paper further  explains about the security issues to the stego-image.
PHR5052: The Library as Educator in the Online Space

Presented as part of the Education and Research Community of Practice (ERCoP) end of year showcase in 2019 at Monash University Library.
Effects of Havruta Learning Method on Army New Recruit Training

Background/Objectives: The purpose of this study is to verify the effects of the Havruta learning method which was known as how to enhance inner motives, creativity, and service values of army new recruit training.Methods/Statistical analysis: Data was collected from March to May, 2018 in 931 trainees attending Korea Army Training Center. The trainees were divided into two groups by stratified sampling method. One is control group (447 trainees), another is experimental group (484 trainees). This study conducted pretest-posttest for both groups by the paired t-test. The questionnaire was composed of Likert scale (5-point) by referring to related literatures.Findings: We identified the significant change of inner motives and creativity through the paired t-test of the data. Inner motives and creativity were increased significantly in the experimental group, who was performed army new recruit training with Havruta learning method. However, service values were similar in the experimental group and the control group. Therefore, we can say that Havruta learning method is effective to improve inner motives and creativity of trainee. There have been many studies on Havruta learning method for civilian or student. This is the first time army new recruit trainee was studied on Havruta learning method. It is meaningful that the study of Havruta learning method on army new recruit training.Improvements/Applications: Havruta learning method is needed to apply not only to army new recruit training but also to field forces training.
LibGuides: PS III Professional Development: Supporting Reading Development in all Subjects

Created under the direction of Dr. Greg Ogilvie in April 2020 to support student teacher development during the school closures.
Linguistic Deviations: Characteristic of Online Language

This study presents the analysis of a small corpus of online language taken from microblog site Instagram, examining the language characteristic focusing on the linguistic deviations. As a representation of CMC, Instagram allows its user to do a free communication with another users talking about personal experience or discussing anything that matches their interest without any limitation of characters. The data used in this research was in the form of words, phrases, clauses and fragments taken from Instagram Posts’ comments. The result shows that linguistic deviations found in Instagram are non-standard capital letters, over-used of punctuations, emoji, repeating characters, laughter, abbreviations, and grammatical deviation. Online language is believed to be creative and unique and those linguistic features indicate that online language on is a combination between written and spoken communication and it has opened avenues of online language that is not accessible with “correct English”.
PERANCANGAN CREATIVE JOURNAL SEBAGAI MATERI PENDUKUNG DREAM SETTING CANVAS

AbstractCreative Journal Design as the Dream Setting Canvas Supporting Media. Dream Setting Canvas is a dream achievement media for young people’s dream achievement, which has been applied to several empowerment programs in several non-profit organizations such as Wahana Visi Indonesia and East Bali Poverty Project. In its application, Dream Setting Canvas has weaknesses, of which the target audience has difficulty in analyzing dreams, strategies, and time without assistance. Moreover, without understanding the true essence of analyzing dreams, strategies and time, this method is not completely effective in helping young people achieve and realize their dreams. This research used qualitative research methods. Data collection used literature study, exploration, interviews with interviewees as well as distributes surveys both offline and online. The research results showed that the creative journals design could supportthe target audience to understand the topic and definition of each block in the Dream Setting Canvas. AbstrakPerancangan Creative Journal sebagai Media Pendukung Dream Setting Canvas. Dream Setting Canvas merupakan media pencapaian mimpi anak muda yang sudah diterapkan pada beberapa program empowerment di beberapa organisasi non-Profit seperti Wahana Visi Indonesia dan East Bali Poverty Project. Pada penerapannya, Dream Setting Canvas memiliki kelemahan, di mana target audiens kesusahan dalam menganalisis mimpi, strategi, serta waktu tanpa pendampingan. Selain itu, tanpamemahami esensi sebenarnya dalam menganalisis mimpi, strategi serta waktu, metode ini tidak sepenuhnya efektif dalam membantu anak muda mencapai dan merealisasikan mimpinya. Penelitian ini menggunakan metode penelitian kualitatif. Pengumpulan data menggunakan studi literatur, eksplorasi, wawancara dengan narasumber serta membagikan survei baik secara offline maupun online. Hasil penelitian menunjukkanbahwa perancangan creative journal dapat mendukung target audiens untuk memahami topik dan definisi setiap blok pada Dream Setting Canvas
Demystifying the Technical and Managerial Challenges of Authentication

Authentication mechanisms are a core component in cyber-security and are becoming increasingly exposed as traditional networks extend into the cloud. The resulting systems become harder to define, harder to protect, and authentication mechanisms are left vulnerable to attacks. Compounding this is the human factor, where a poor understanding of responsibilities, reluctance to deal with conflict, and the inability to effect change, undermine what is often considered to be a technical problem. Whilst technical measures to effectively mitigate these risks are known, frequency of attacks continue to demonstrate success. Using six popular cyber-breach examples these non-technical challenges are identified and their effect is examined. This paper demonstrates that technical measures are key to authentication and overall cyber-security posture. These technical measures may be better understood than their non-technical counterparts that frequently lead to authentication failure and public downfall.
LibGuides: Lower Grades Citation Guides: Third and Fourth Grade

This LibGuide is a resource for teachers of K-4. It provides collective information on citation lessons specialized by grade level.
Implementation of Python-Based Korean Speech Generation Service with Tacotron

This paper deals with the implementation of the Korean speech generation service based on Python. Speech generation technology is used in various kinds of information and communication services and has been further refined by the development of deep learning technology. Tacotron, a representative deep learning speech generation model, is implemented on the server, and CherryPy is used to provide speech generation samples for queries through a web browser. The model parameters obtained through pre-training are stored and generate the voice as soon as the Korean query is received from the web server. This model can be extended and used in chatbot systems and voice guidance services.
Subject Guides: English 1121: BOOKS

Research basics for students writing about literature, current social issues, or discourse communities.
THE IMPROVEMENT OF STUDENTS’ ACADEMIC WRITING THROUGH READING ABILITY USING COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) MODEL

This learning improvement study aims to improve teaching and learning outcomes in academic writing through reading ability by applying CIRC model. This research was conducted based on the problems that occur when students taking Academic Reading and Writing courses. Among the problems found is that students still find difficulties in writing a summary of the specified article. The research subjects were students in the fourth semester of the academic year 2018/2019. Before applying this method, the writer conducted a pre-test. The pre-test results showed that the students' writing summary skills were still low. The pre-test result was 2.77% of students scored very well, 19.43% got a good score, 27.77% of students scored moderately, 47.22% scored less, and 2.77% in the category of failure. The Classroom Action Research method is carried out in the application of the CIRC model which consists of two cycles, where each cycle took place in two meetings, and each cycle applied different learning activities. The results of the first cycle have shown changes in several assessment criteria, but the research was still being carried out into the second cycle. This was done to further strengthen learning by using the CIRC model. The percentage of student scores in the second cycle shows that 36.03% got a very good score, 33.33% got a good score, 30.55% got a sufficient score, and no more students scored less, and failed. From the above results can be concluded that the application of the CIRC model by the distribution of different discussion groups in each cycle affected learning outcomes. Thus the CIRC model can be considered to use in learning academic writing through reading ability in Academic Reading and Writing courses.
Alive: A Case Study of the Design of an AI Conversation Simulator

This article offers a case study of a game designed to encourage its players to reflect on the implications of Artificial Intelligence (AI) by considering the impact that advancements in AI might have on them personally or on the world more broadly. Alive is a conversation simulator in the vein of the Lifeline series of games, where the player responds to messages from a newly created AI in a manner simulating the rhythm of a conversation vis phone texts. Player decisions directly influence how the AI develops over time and the values it chooses to adopt. Throughout the narrative, the game explores a variety of topics relevant to the creation of AI, such as the potential differences between how an AI and a human would view the world, the capacity of an AI to evolve or change over time, and the risks inherent in the creation of a self-aware AI. In this article, I describe the development of a working prototype of my game, made freely available to accompany this piece. After first establishing the basic principles of conversation simulators based on an analysis of existing examples, I chronicle the design decisions I made and offer my rationale for them. I also discuss the difficulties I encountered in covering this topic and propose what I see as helpful design takeaways for creating other games in a similar vein. It is my hope that this article provides practical tools to scholars and designers interested in both creating and interrogating complex topics such as AI through games.
ICDOI-The use of “Knowledge Discovery from Text” to analyze the inner-city distribution of interests over time

The ICDOI (“Inner-City Distribution of Interest”) procedure described in this paper uses “Knowledge Discovery from Text” to identify thematic focuses and trends from texts written in different locations in a city. Among other techniques, topic recognition and machine-based derived word associations are used.
Predicting service collaboration for users based on data variation patterns

Service collaboration allows the realisation of more complicated business logic by using existing services. Nowadays, users use lots of services in their daily work. For example, developers use a large number of services (e.g., Stack Overflow, Github, Blogger, etc.) to develop programs. Services are used continuously. Since most of the users' data is distributed in these different service providers, these data are separated from each other although they are correlated. If we coordinate different services based on these correlation data, we can provide users with seamless and effective support. This is very significant because it greatly increases users' productivity. However, due to the segregation of data, it is difficult to coordinate different services based on data correlation. To deal with this challenge, we propose a novel deep recurrent neural network (runs in a centralised service) to predict future services collaboration and their generated data. The network captures the correlation between different data and discovers patterns of data variation by using multiple hidden layers, which are beneficial to services collaboration prediction. Extensive experiments are conducted on the real world dataset. Experimental results show that our model significantly outperforms a few competitive baseline methods.
A Cross-cultural Study of Pragmatic Identities Constructed in Chinese and American Marketing Discourse on Social Media

Based on a mini-corpus of Chinese and American marketing discourse on social media (150 discourses each), this study conducts a cross-cultural investigation of pragmatic identity construction in marketing discourse on social media.The results show that in the context of social media, a larger variety of individual pragmatic identities rather than organizational pragmatic identities is employed in both American and Chinese marketing discourses.Chinese and American enterprises both construct six different types of individual pragmatic identities (Experiencer, Sales Representative, Friend, Adviser, Expert and Official Introducer) in marketing discourse.Both Chinese and American marketing discourses tend to build official introducer and sales representative identity more than other identities.Adviser identity is not regularly constructed in both Chinese and American discourses.American marketing discourse on social media adopts the identity of experiencer and adviser more whereas Chinese discourse adopts expert and official introducer identity more than its counterpart.American discourse adopts more subjective identities than objective identities whereas Chinese discourse evenly employs both subjective and objective identities.Three cultural value dimensions (collectivism vs. individualism, high power distance vs. low power distance, relation-driven vs. task-driven) attribute to the different use of the pragmatic identities.
Novel receipt recognition with deep learning algorithms

We propose a new recognition method to extract effective information from receipts by integrating deep learning algorithms from computer vision and natural language processing. Our method consists of three parts. The first part provides effective areas for receipt detection. By removing noise and extracting the gradient of the receipt image, we determine the threshold to crop and reshape the useful receipt area. Detecting text from a receipt image is the second part, we modify and deploy the text detection algorithm connectionist text proposal network (CTPN) to locate the text region in the receipt. In the third part, we import the connectionist temporal classification with maximum entropy regularization as the loss function for updating the convolutional recurrent neural networks (CRNN) to recognize the text detection area, which converts the receipt from an image into the text. Based on our method, the effective information of a receipt can be integrated and utilized. We train and test our system using the data set published by scanned receipts optical character recognition and information extraction (SROIE). The results illustrate that our recognition system is able to identify receipt information quickly and accurately.
Research Guides: Using HathiTrust: Downloading from HathiTrust

Description of how to find and use Hathi Trust resources at the University of New Hampshire
A Progressive Secret Image Sharing Scheme Based on GEMD Data Hiding

With the development of the Internet, people spread digital information through the Internet. However, the Internet is a public channel. Avoiding digital information be tampered with to keep the security of data is the most important thing today. The main method of data hiding is to embed secret information into multimedia and then transmit it to the recipient. The stego multimedia would not attract someone and is protected from tampering during transmission. In addition to data hiding technology, this paper is combined with secret image sharing. We use Progressive Secret Image Sharing (PSIS) that the secret image is divided into multiple regions and hidden in N stego images. If the recipient wants to extract the secret image, the recipient must have a part of or all stego images to extract a similar secret image or a complete secret image. In this paper, we propose the method of secret image sharing based on GEMD data hiding. The secret image is not in sequence, but can be overlapped and divided. The experimental results present that the stego images are $$ {\text{PSNR}} \ge 50{\text{dB}} $$. The recipient can extract be similar or complete with stego images and judge whether stego images is tampered or not.