Reviewerly/exHarmony huggingface dataset:
Data Hiding Using Sequential Hamming + k with m Overlapped Pixels

Recently, Kim et al. introduced the Hamming + with overlapped pixels data hiding (Hk_ mDH) based on matrix encoding.The embedding rate (ER) of this method is 0.54, which is better than Hamming code HC (, -) and HC (, -) +1 DH (H1DH), but not enough.Hamming code data hiding (HDH) is using a covering function (1, = 2 -1, ) and H1DH has a better embedding efficiency, when compared with HDH.The demerit of this method is that they do not exploit their space of pixels enough to increase ER.In this paper, we increase ER using sequential Hk_mDH (SHk_mDH ) through fully exploiting every pixel in a cover image.In SHk_mDH, a collision maybe happens when the position of two pixels within overlapped two blocks is the same.To solve the collision problem, in this paper, we have devised that the number of modification does not exceed 2 bits even if a collision occurs by using OPAP and LSB.Theoretical estimations of the average mean square error (AMSE) for these schemes demonstrate the advantage of our SHk_mDH scheme.Experimental results show that the proposed method is superior to previous schemes.
범죄유형을 고려하지 않는 가석방 기준을 향한 증거에 기반한 비판

All crime have different own causes from type to type. That is why correction programs for each type of crime must be different, preparation for re-socialization and final evaluation criteria for each type of crime must be different. Unfortunately, however, the current parole screening standards do not make a reasonable assessment of the cause of the crime, but still seem to be a reciprocal procedure in terms of reducing the sentence. This study collected a total o f 477 cases o f information of those subject to probation to verify that the types of crimes are considered in determining parole. The data is from a probation investigation document for each criminal, and within it, personal factors, legal factors, criminal types, and attitude factor in prison selected and used as independent variables. Dependent variables are remained days and the residual ratio of the sentence. The method of analysis used hierarchical linear regression. According to the results, inmates with poor mental and physical conditions were released on parole at a relatively earlier when analyzed around the residual ratio. And inmates with higher sentences sentenced by the court became released on parole earlier than others when analyzed around the remained days. In the two dependent variables, the both significant variable was the number of punishment in prison. That is, less punishment favored parole decisions. Further discussion of the outcome and its policy implications are discussed through the text.
Research Guides: Transitioning Courses Online: Adding library resources to your CANVAS course

Use this guide to locate resources that can help you with your courses as FL Tech transitions to online instruction for the Spring 2020 semester.
怨좊벑?숈깮?ㅼ쓽 ?댁쇅 ?댄븰 ?곗닔 ?꾨줈洹몃옩 李몄뿬媛 ?곸뼱 ?숈뒿 ?깆랬?꾩? ?곸뼱 ?숈뒿 吏?띿뿉 誘몄튂???곹뼢

The purpose of the present study is to examine the influence of Korean high school students??experience of English study-abroad programs on their...
Evaluation of Machine Learning Algorithms to Detect Credit Card Fraud

Credit card fraud detection is very serious issue nowadays. Every person from youth to aged requires a credit card. Credit card fraud is generally done during online transactions. Information regarding pin is obtained illegally. It is termed as shoulder surﬁng. Some other ways are card stealing, Buying audit cards, Information and web Traffic, etc. After obtaining information illegally online transactions are made. In many companies fraud credit cards are identified so that customers are not charged for unnecessary equipment. There is a vast need of credit card fraud detection. If proper amount of data is collected, credit card fraud can be detected using machine learning algorithms. In this paper, supervised and unsupervised machine learning algorithms have been applied to detect credit card frauds in a highly imbalanced dataset. It was found that unsupervised machine learning algorithms can handle the skewness and give best classiﬁcations result.
Rendering Blockchain Immutability in Chatserver: A Node.js Approach

A distributed ledger approach of blockchain by the very nature of its concept and architecture has ensured immutability of data. Blockchain enables all parties to fully agree and maintain global states. The chain originates from the genesis block and keeps adding blocks starting from the genesis block based on records of transactions over a given time frame. The hash of each transaction is further represented and many such transactions after due consensus are included in the block of the chain. The Merkel tree approach enables the mathematical resultant of each transaction into the block. The mathematical replicas of the hash values across the chain render immutability thus enhancing trust. This paper explores the implementation of the blockchain in a Chatserver using Node.js whereby the timestamp and hash sequences enable the immutable trail of the chats. The aspects of immutability have been embedded through the build in features of consensus in a Chatserver. This paper explores to demonstrate the generation of the genesis block and further addition of blocks in the chain through a Node.js setup. The code implements the generation of nodes, hash functions and their respective timestamps which render immutability to the information trail.
2020 LLL Conference Featured Talk: "The power of prediction in language processing and learning"

NOTE: We apologize but the first few minutes of this talk are missing from the recording.This featured talk was presented by Dr. Theres Gruter during the 24th annual College of Languages, Linguistics & Literature Graduate Student Conference on April 18, 2020. Dr. Gruter was the 2020 Junior/Mid-level Faculty LLL Excellence in Research award winner and was invited to give this talk.
Construction of health data literacy education system characterized by knowledge map

Thanks to the comprehension of health data literacy courses in medical colleges and universities at home and abroad, this paper proposed a multi-level health data literacy education system featuring knowledge maps for undergraduates, postgraduates and students majoring in medical informatics, from basic knowledge of health data, basic technology of knowledge maps, analysis methods and tools, application of knowledge maps and health data ethics. The study results have positive significances for improving students' data processing ability in medical colleges and universities, and promoting medical development fundamentally.Key words: Health data literacy; Knowledge map; Medical college; Education system
Analysis of Chaos Characterization and Forecasting of Daily Streamflow

Hydrologic time series has been analyzed and forecasted by using classical linear models. However, there is growing evidence of nonlinear structure in natural phenomena and hydrologic time series associated with their patterns and fluctuations. Therefore, the classical linear techniques for time series analysis and forecasting may not be appropriate for nonlinear processes. Daily streamflow series at St. Johns river near Cocoa, Florida, USA showed an interesting result of a low dimensional, nonlinear dynamical system but daily inflow at Soyang reservoir, South Korea showed stochastic property. Based on the chaotic dynamical characteristic, DVS (deterministic versus stochastic) algorithm is used for short-term forecasting, as well as for exploring the properties of the system. In addition to the use of DVS algorithm, a neural network scheme for the forecasting of the daily streamflow series can be used and the two techniques are compared in this study. As a result, the daily streamflow which has chaotic property showed much more accurate result in short term forecasting than stochastic data.
Fractals and the Koch Snowflake

This paper will involve an investigation into Fractals, particularly the Koch Snowflake. The history of fractals, from Benoit Mandelbrot’s discovery in 1975 to the modern-day and future applications will be investigated. A proof will be shown for the Koch snowflake, whereby it is proved that a shape can have an infinite perimeter but a finite surface area. MATLAB will also be used in order to show visual representations of the Koch Snowflake.
LibGuides: Information for Remote Schooling: Resources for Middle School students

This guide's purpose is to provide parents with information about free resources available for grades K-12. Individual schools are providing lessons for students online. Free resources geared towards middle school students.
The Variant-Rule Another Logically Universal Rule.

The Variant-rule derives from the Precursor-rule by interchanging two classes of its 28 isotropic mappings. Although this small mutation conserves most glider types and stable blocks, glider-gun engines are changed, as are most large scale pattern behaviors, illustrating both the robustness and fragility of evolution. We demonstrate these newly discovered structures and dynamics, and utilising two different glider types, build the logical gates required for universality in the logical sence.
LibGuides: Marine Mammal Communication: Home

This guide is intended to help students find scientific literature and other resources to further understanding about marine mammals and their communication techniques.
The restaurant booking corpus – content-identical comparative human-human and humancomputer simulated telephone conversations

A new dataset, the Restaurant Booking Corpus (RBC) is introduced,comprising 90 telephone dialogs of 30 German speaking students (10 males, 20females) interacting either with one out of two different technical dialogue systemsor with a human conversational partner. The aim of the participants was to reservea table each at three different restaurants for four persons under certain constraints(late dinner time for one day, sitting outside, reachable via public transport, avail-ability of vegetarian food, getting the directions to the restaurant). The purpose ofthis constraints was to enable a longer and realistic conversation over all three calls.This dataset is explicitly designed to eliminate certain factors influencing the rolemodel of the interlocutor: the effect of a visible counterpart, the speech content,and the dialog domain. Furthermore, AttrakDiff is used to evaluate the correct im-plementation of the conversational systems. A human annotation and an automaticrecognition is pursued to verify that the speech characteristics are indistinguishablefor the human-directed and the device-directed calls.
My Heart is a River

i) Opening outii) Seeping inIn memory of Raphael Abtan.My Heart is a River is a piece for video, live cello and pre-processed musical accompaniment written for Seth Woods by Freida Abtan. Narratively, the piece traces the borders between dreams and identity. A cello player begins to perform, and dreams emerge from his instrument. In these, he toasts a friend and together they plan an adventure. After sailing through rough waters riding the cello like a boat, the two friends reach their destination: a star filled expanse where their bodies mirror movement against an invisible barrier.The music for My Heart is a River uses spectral processing to transform the sounds of the cello into physical materials such as water and skipping rocks. In performance, Woods plays in tight synchronization with the pre-recorded audio and visual accompaniment. The video features physical performance by both himself and Tamzin O’Garro and situates his body within its depicted narrative. The piece was a commission from the Seattle Symphony for its 2020 season, where it premiered in the Octave 9 surround audiovisual concert hall. For the Octave 9 performance, both the sound and video surrounded the audience using an eighty-channel acoustic diffusion system as well as ten projection screens placed in an extended horseshow configuration. The production’s immersive media choreography must be tailored according to the differing projection capabilities of each performance venue.The audio and visual material for the piece was created through physical and musical improvisation workshops conducted between Seth Woods and Freida Abtan. Recordings from those workshops became the source material for Freida Abtan to process and manipulate and the resulting electronic music was then scored back for Seth Woods to play live, embedded within a musical landscape in which his playing already features. Significant research has been done, examining how audiovisual motion enhances the appreciation of instrumental performance. My Heart is a River takes a more integrated approach, exploring through practice the compositional affect of these sensory associations within a narrative context. The compositional affect of the work relies on combined audiovisual movement between the performer on stage and the surrounding, projected media. This research continues from Abtan’s previous lines of enquiry relating to “Expanded Presence and Inter-sensory Gesture in Multimedia Performance” in which she investigates the role of audiovisual composition within an immersive performance context. By integrating live instrumental performance, this piece questions how the perception of instrumentation and agency further informs such situated narratives. It examines how the presence of a performing instrumentalist, expanded through multiple modes of representation, can participate in and shape the perception of audiovisual composition, playing with Michel Chion’s concept of synchresis – the tight perceptual coupling of sound and image that informs their sense of ‘belonging’.
Libraries: Indexing your Journal: Directory of Open Access Journals

This Guide will provide basic guidelines for indexing your in some of the most common directories and databases. Please refer to this guide for filling out the DOAJ online application
Evaluation of the constructed device along with the software for digital archiving, sending the data, and supporting the diagnosis of cervical cancer.

e18017 Background: The incidence and mortality of cervical cancer are high in Poland. There are effective methods of the prevention and the early diagnosis, however they require well-trained medical professionals including cytologists. Within this project we built a prototype of a new device together with implemented software to convert the currently used optical microscopes to fully independent scanning systems for cytological samples. The use of the device is intended to improve the effectiveness of cytological screening, and registration of cytological tests’ results. The features of the software include digital backup as well as transmission and telemedicine evaluation. Methods: The software uses the artificial neural network (U-NET architecture) designed to be able to recognize suspicious regions and enhanced CNN neural network (VGG) allowing to determine the type of disorder such as: ASCUS, ASC-H, HIS, AGC, cancer. 7128 liquid based (LBC) and 1700 conventional cytology samples were evaluated by trained cyto-sreeners. Cytological abnormalities like: ASCUS, ASC-H, HIS, AGC, cancer were found in 254 (3.6%) LBC cases and 51 (3.0%) conventional cytology cases. All samples were scanned and archived. Selected samples with diagnosed abnormality were a model to teach the artificial neural networks. Results: Preliminary results obtained with use of U-NET and VGG (CNN networks) so far indicate 90-96% (LBC samples) and 85-95% (conventional cytology) compliance with results obtained using standard methods. Conclusions: Further refinement of neural networks is necessary to reduce the number of false positives and false negatives. A study with a larger sample size is required to evaluate the software. This project is co-financed with European Regional Development Fund within the Priority Axis I, Support for R&amp;D activities for companies, Measure 1.2, Sectoral R&amp;D Programmes, Sectoral Programme: “INNOMED – scientific research and development programme for innovative medicine economy sector”.
LibGuides: Predatory Publishing: Getting Started

Designed to be useful and relevant, this guide will provide you with tips on how to identify and avoid predatory publishers
Intention-revealing function names and small functions to facilitate code comprehension

Code comprehension is by many considered to be one of the most expensive and time-consuming phases of the software life cycle. There are multiple techniques for making code more comprehensible, one ...
LibGuides: Summer Reading .... In Person AND Virtually 2021: Virtual Statewide Summer Reading Kickoff Celebration Schedule

So you find yourself unable to hold your traditional summer reading program. Here are some ideas that you can use June 1-5, 2020
Effects of upper limb rehabilitation robot training combined with aerobic exercise on pulmonary function and quality of life in patients with convalescent stroke

ObjectiveTo study the effect of upper limb rehabilitation robot training combined with aerobic exercise on pulmonary function and quality of life in patients with convalescent stroke.MethodsFrom January, 2017 to January, 2019, 246 patients with convalescent stroke admitted to our hospital were selected as research objects. They were divided into a control group, taking aerobic exercise training, and an observation group, taking upper limb rehabilitation robot training combined with aerobic exercise, according to the treatment methods, 123 cases for each group. The clinical effects of the two groups were compared.ResultsBefore the training, there were no statistical differences in the levels of lung function indicators, FMA score, and MBI score between the two groups (all P>0.05). After the training, the levels of FVC, FEV1, PEF, and FEV1/FVC were significantly higher and the scores of FMA and MBI were significantly better in the observation group than in the control group (all P<0.05).ConclusionUpper limb rehabilitation robot training combined with aerobic exercise can significantly improve the pulmonary function and quality of life of patients with convalescent stroke, so it is worthy of clinical application.Key words: Upper limb rehabilitation robot; Aerobic exercise; Convalescent stroke
Duality-Based Locality-Aware Stream Partitioning in Distributed Stream Processing Engines

In this paper, we propose duality-based locality-aware stream partitioning (LSP) in distributed stream processing engines (DSPEs). In general, LSP directly uses the locality concept of distributed batch processing engines (DBPEs). This concept does not fully take into account the characteristics of DSPEs and therefore does not maximize cluster resource utilization. To solve this problem, we first explain the limitations of existing LSP, and we then propose a duality relationship between DBPEs and DSPEs. We finally propose a simple but efficient ping-based mechanism to maximize the locality of DSPEs based on the duality. The insights uncovered in this paper can maximize the throughput and minimize the latency in stream partitioning.
Tools in Term Rewriting for Education.

Term rewriting is a Turing complete model of computation. When taught to students of computer science, key properties of computation as well as techniques to analyze programs on an abstract level are conveyed. This paper gives a swift introduction to term rewriting and presents several automatic tools to analyze term rewrite systems which were developed by the Computational Logic Group at the University of Innsbruck. These include the termination tool TTT2, the confluence prover CSI, the completion tools mkbTT and KBCV, the complexity tool TcT, the strategy tool AutoStrat, as well as FORT, an implementation of the decision procedure for the first-order theory for a decidable class of rewrite systems. Besides its applications in research, this software pool has also proved invaluable for teaching, e.g., in multiple editions of the International Summer School on Rewriting.
UMC Library: Online Learning: Welcome

A research guide aimed at supporting online learning at the University of Minnesota, Crookston.
Bibliometric analysis of discharge planning for patients with stroke in China

ObjectiveTo analyze the research levels and development dynamics of discharge planning for patients with stroke in China using the bibliometric method and to provide a reference for improving the system of continued nursing care for stroke.MethodsThe status quo of research into discharge planning for patients with stroke in China were explore using CNKI, Wanfang, VIP and CBM databases as the source of data. Bibliometric analysis was performed with Note Express. The external characteristics and keywords of the literature were analyzed.ResultsTotally 64 literatures were included in this study, with Jiangsu, Fujian, Guangdong and Shanghai ranking the top 3 in terms of the number of literatures. The authors of 64.06% of the literatures came from university affiliated hospitals and medical colleges and universities. The number of nursing journals accounted for 52.63% of the total number of literatures, and only 40.63% of the literatures were included in the key magazine of China technology. The number of experimental research and quasi trial accounted for 71.86% of the total number of the literatures. The themes of research were mainly rehabilitation, self-management, continuous/continued nursing care and models; and the specific content of discharge planning needed to be further improved.ConclusionsThere are not too many literatures on discharge planning for stroke. The development and intervention of discharge planning is not scientific or standardized yet, which should be improved based on the conditions of patients with stroke so as to establish a discharge planning model that conforms to China's national conditions.Key words: Stroke; Discharge planning; Continued nursing care; Bibliometrics
Representing Temporal Information in Lexical Linked Data Resources.

The increasing recognition of the utility of Linked Data as a means of publishing lexical resource has helped to underline the need for RDF based data models which have the flexibility and expressivity to be able to represent the most salient kinds of information contained in such resources as structured data, including, notably, information relating to time and the temporal dimension. In this article we describe a perdurantist approach to modelling diachronic lexical information which builds upon work which we have previously presented and which is based on the ontolex-lemon vocabulary. We present two extended examples, one taken from the Oxford English Dictionary, the other from a work on etymology, to show how our approach can handle different kinds of temporal information often found in lexical resources.
GERAKAN LITERASI SISWA DALAM PENINGKATAN MODEL PEMBELAJARAN PAKEM DI SDN PONDOK KELAPA 05 PAGI

Mathematics is the science of logic regarding form, arrangement, quantity, and concepts related to one another. In the concept is always related to everyday human life. Learning Mathematics in the form of the Literacy Movement students are not just increasing curiosity but always developing according to the times, Mathematics is the science of counting which aims to instill and develop the counting process in teachers. Based on observations at SDN Pondok Kelapa 05 Morning in the learning process, The teacher still uses conventional teaching methods or is centered on the teacher as an information provider, with the existence of the student literacy movement is expected to improve the good quality of each concept of problem-solving in the form of application problems. Â  Kata kunci : Learning , Literacy , Mathematics
LibGuides: Design Sprint: Designing the Reconnected Community: 2. Data and Statistics

The guide is for students participating in the Department of Human-Centered Computing's 2-week intensive workshop.