Reviewerly/exHarmony huggingface dataset:
Temporal Study of TSS (Total Suspended Solid) Around Porong River Estuary Due To the Influence of Lapindo Mud Based On Landsat 8 OLI Satellite Imagery

This research was conducted in April 2019 to determined TSS concentrations using Landsat 8 OLI Satellite imagery and of to the coefficient TSS concentrations at period of before and after Lapindo mudflow event using Landsat 8 OLI satellite imagery in Porong River estuary Sidoarjo Regency East Java Province. TSS from 25 sampling points with 3 replication were taken from the estuary. The result showed that fluctuation of TSS occured around Porong River estuary before and after Lapindo mudflow event from 2000-2019. Algoritm of Budhiman (2004) got the best result for analyst TSS concentration around Porong River estuary. The highest concentration was in estuary. In 2008, the concentration in estuary was 216,07 mg/l. (R 2 =0,915 ; r = 0,957). The Development of Algoritm of Budhiman (2004) produced formula of TSS (mg/l) = -6.7625 + (1.2129 * (8.1429 * (Exp (23.704 * 0.94 * Band-Red))))
LibGuides: Finding Information: Types of Information Resources

Gain an understanding of different information formats, including the ways they can be used in research. Gain an understanding of different information formats, including the different ways they can be used in research.
Transforming the Cologne Digital Sanskrit Dictionaries into OntoLex-Lemon

The Cologne Digital Sanskrit Dictionaries (CDSD) is a large collection of complex digitized Sanskrit dictionaries, consisting of over thirty-five works, and is the most prominent collection of Sanskrit dictionaries worldwide. In this paper we evaluate two methods for transforming the CDSD into Ontolex-Lemon based on a modelling exercise. The first method that we evaluate consists of applying RDFa to the existent TEI-P5 files. The second method consists of transforming the TEI-encoded dictionaries into new files containing RDF triples modelled in OntoLex-Lemon. As a result of the modelling exercise we choose the second method: to transform TEI-encoded lexical data into Ontolex-Lemon by creating new files containing exclusively RDF triples.
LibGuides: Free Resources during Covid-19: e-content

This guide provides open resources during the covid-19 emergency period. Please explore the tabs at the top of this guide, and use the databases and websites to find e-books and e-content.
PASCAL LibGuides: PASCAL Shared Library System Communications - TEMPLATE for Members: Campus Communications

This guide will provide a template for PASCAL members for campus outreach regrading the shared library system.
Social media at the workplace: The relationshipbetween techno eustress and employeesperformance at Pejabat Pendidikan Daerah Jerantut / Ummi Soleha Mohd Lazim

Social Media at the Workplace : The Relationship between Techno eustressand Employee Performance as a case study at Pejabat Pendidikan Daerah Jerantut.The purpose of this study was to the investigate relationship between techno eustressand employee performance. This final report comprises of five chapters, where thefirst chapter introduction of the study. In chapter two covers literature review of thestudy and chapter three covers research methodology. Thus, in chapter four coversthe finding and discussion and chapter five covers conclusion, recommendation andsuggestion for future research. There are three research objectives and researchquestions and followed with two research hypothesis for this study. A total of 92 setof questionnaire were distributed to the employees at Pejabat Pendidikan DaerahJerantut by using simple random sampling. The questionnaire was constructed inboth Malay and English. The questionnaire consists of three sections based on thevariables of the study. Furthermore, the data gathered from the questionnaire wasanalyzed by using the Statistical Packages for Social Science (SPSS) Version 20.0.Then the data will be presented in form of frequency, percentage, and mean to showthe relationship between techno-eustress and employee performance. Researcher alsorecommend and suggests management of companies to limit the usage of social mediaand conduct campaign in order to increase the awareness of using social media at theworkplace.
LibGuides: Year 7 Home Link Parent Information: Science

For our DIS parent community - when you want to help your child improve and succeed at school Wonderful support for Science
LibGuides: Public Library Makerspaces : Home

Starting points, project ideas, and learning pedagogies that encompass the creation, maintenance, and success of a public library learning lab or makerspace.
Policy Attribute - Based Temporary

Temporary keyword search on confidential information in a cloud domain is the fundamental focal point of this exploration. The cloud suppliers are not completely trusted. Along these lines, it is important to redistribute information in the scrambled structure. In the attribute-based keyword search (ABKS) plans, the approved clients can produce some pursuit tokens and send them to the cloud for running the inquiry activity. These hunt tokens can be utilized to separate all the ciphertexts which are delivered whenever and contain the relating keyword. Since this may prompt some data leakage, it is increasingly secure to propose a plan in which the hunt tokens can just concentrate the ciphertexts created in a predefined time interim. To this end, right now, present another cryptographic crude called key-strategy attribute-based brief keyword search (KP-ABTKS) which give this property. To evaluate the security of our plan, we officially demonstrate that our proposed plan accomplishes the keyword mystery property and is secure against specifically picked keyword assault (SCKA) both in the irregular prophet model and under the hardness of Decisional Bilinear Diffie-Hellman (DBDH) presumption. Besides, we show that the unpredictability of the encryption calculation is straight concerning the quantity of the included attributes. Execution assessment shows our plan's common sense.
Brain Awake Review: Weak stack with 1 potent nootropic

Summary We have no idea why this nootropic is so popular. Irwin Natural Brain Awake contains just one potent, scientifically-proven cognitive ...
Digital Education of Rural India to Impact Rural Economy

Education plays an important role within the development of people thereby influencing the growth of the state.Education is one among the necessary sectors within the economy that had brought revolutionary changes within the recent times.Republic of India that was once thought-about as majorly associate in nursing agricultural economy is currently developing in numerous sectors at a quicker rate.However, the evolution data of knowledge and technology has created a divide between the urban and therefore the rural Republic of India despite of globalization.It's thanks to the digitalization in numerous sectors that has taken place across globe.Villages in Republic of India form the backbone of our nation contributory to socio-economic and human resource development of the state.As per 2011 census, nearly sixty eight of the Indian population belongs to geographic area.Though the life within the rural areas is currently connected to cell phones, smartphones, digital TV transmission, however to an oversized extent they're stop from the most stream of urban areas thanks to lack of infrastructure support, poor property, language barriers particularly within the education sector.Digital technology makes life easier for each educators and students.So as to rework into a Digital India, it's to develop the facilities of rural little villages beside sensible cities in Republic of India. Results and Conclusions:This paper tries to debate regarding the digital tools to be developed in rural areas in a reasonable manner and therefore the core elements of Digital technology likewise because the future scope and challenges of a rural society in moving towards Digital education.
Implementation of Base64 and caesar cipher in securing video files

Personal data is often the target of people who are not responsible for being misused. Theft is done to benefit from people who have the data. In addition to the theft of work files, theft is also carried out on video files. Theft of this file aims to find out what the contents of the video. Someone has a private recorded video that cannot be known by others. Misuse of video files will be fatal for the owner of the video. Cryptographic techniques are needed in video security. Caesar Cipher's algorithm can help users secure the video file. The Base64 algorithm can be used to change the ASCII 256 format to Base64 so that it is easy to send or store in a storage medium. This algorithm will make the file structure simpler so that it can be displayed and saved. By applying the Base64 and Caesar Cipher algorithms to video files, the security and confidentiality of these files will be guaranteed. (Less)
A machine learning approach for handwritten recognition

Handwritten recognition is the ability of the system to receive and interpret the input taken from various sources like paper documents, touch screen devices, photographs, etc. In this paper, we will be designing a handwritten recognition expert system using different classification algorithms to recognize the handwritten characters like Support Vector Machine(SVM), K-Nearest Neighbour(KNN), Random Forest Classifier and Neural Networks. This application is useful for recognizing all characters and digits given as in the input image. The main objective of the project is to increase the accuracy of the recognition characters through various algorithms and choose the best algorithm for recognizing characters or digits.
Scaling website fingerprinting

Website fingerprinting aims to identify the web page visited by a victim through the analysis of metadata generated by the encrypted flow between web server and victim. A fingerprinting attack can be performed at several locations and scales, ranging from local adversaries such as employers monitoring their employees browsing behavior to state sponsored actors monitoring civilians to uncover their political views. In this paper we show the feasibility of an attacker performing web page fingerprinting at a large scale by introducing a new twostage fingerprinting method. We evaluate our proposed method using a Wikipedia clone consisting of 828,907 pages, allowing us to show that attackers are not only able to fingerprint pages from different websites but are also able to fingerprint similar pages belonging to the same website. More so, we show that, even though HTTP2 reduces the available metadata compared to HTTP, attackers using our method can achieve an accuracy of 62.21% when fingerprinting pages from our Wikipedia clone. Finally, we show that an attacker can, when taking browsing behavior into consideration, identify victims searching for specific information with an accuracy of 87.4%.
LibGuides: RPGs: Home

This libguide is dedicated to tabletop roleplaying games. It is meant to be a resource for new players and existing players.
Precedent Utterances as an Indicator of Technical University Students’ Cultural Literacy

The article considers precedent utterances from the viewpoint of technical university students’ cultural literacy. The authors analyze the concept of precedent phenomena of culture by giving their classification and sources of their internalization. In this context much attention is drawn to the ways in which students get familiar with the most frequent precedent utterances, originating mostly from the works of fiction. The most significant sources of precedent utterance internalization revealed as the results of the empirical survey conducted among the 1st- and the 2nd- year-students of a technical university are cited. The focus is on the students studying engineering, for the latest approach to technical education includes the study of sociocultural fundamentals and meanings of engineering, which will help the graduates understand the value of culture, science and industry and successfully solve social and professional problems in the future.
Application of breast health intelligent detection system based on deep learning technology in breast tumor detection

ObjectiveTo investigate the value of MammoWorks™ system based on deep learning technology in breast tumor detection.MethodsWe enrolled 448 patients with breast lesions at X-ray BI-RADS grade 5-6 in Shaanxi Provincial Tumor Hospital from January 2015 to April 2017. All patients underwent operation, with complete clinical and pathological data. Additionally, using a random number table, 215 healthy people who had physical examination in our hospital at the same period (X-ray BI-RADS grade 1) were randomly enrolled as control and all of them had no breast diseases in the two-year follow-up. The mammographic data of all subjects were analyzed by MammoWorks™ system. With the pathological results of patients and the 2-year follow-up results of healthy people as the gold standard, the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of MammoWorks™ system in the detection of breast tumors were analyzed, as well as the number of false-positive marks in one mammograph. The rate comparison was performed using χ2 test and Fisher exact probability method. The number of false-positive marks in one mammograph was compared using nonparametric test (Kruskal-Wallis test) and Kappa test was used to evaluate the consistency of the results between different subgroups.ResultsTotally 2 652 X-ray photographs from 663 females were analyzed. A total of 2 284 lesions were marked, including 929 true-positive and 1 355 false-positive. There were 333 cases of true-positive, 126 true-negative, 89 false-positive and 115 false-negative. The sensitivity of MammoWorks™ system was 74.3%(333/448), specificity 58.6%(126/215), positive predictive value 78.9%(333/422), negative predictive value 52.3%(126/241), accuracy 69.2%(459/663), positive likelihood ratio 1.80 and negative likelihood ratio 0.44. The number of false-positive marks in one mammograph was 0.50(0.00~0.75). The sensitivity of MammoWorks™ system showed a significant difference between craniocaudal (CC) view and mediolateral oblique (MLO) view of X-ray (Kappa=0.278, P 0.050), while the detection efficiency of MammoWorks™ system was significantly different in patients with different breast density, lesion type, and tumor diameter (χ2=7.985, 15.543, 18.652, P<0.050). The number of false-positive marks in one mammograph presented a significant difference in patients with different breast density (χ2=15.024, P<0.050).ConclusionBased on deep learning technology, the MammoWorks™ system is helpful in the auxiliary diagnosis of breast tumors, but its detection efficiency still needs to be improved.Key words: Breast neoplasms; Artificial intelligence; Deep learning
Subject Guides: Digital Tools for Research: a practical guide: Creating Your Thesis

A practical guide to the digital tools you can use for research when working on theses, dissertations, and research projects. What are the essential digital tools to use when creating your Thesis?
Simplified Particle Swarm Optimization with Backtracking Search

In this paper, a simplified particle swarm optimization algorithm based on backtracking search (BSAPSO) is proposed to solve the problems of weak global search ability, easy to be trapped into local optimal solution and difficult to obtain optimal solution in complex problems. Firstly, the velocity term of the standard particle swarm optimization is eliminated, and the exponential random term is introduced to replace the optimal solution of individual particles to simplify the particle iteration process. Then, the special historical backtracking of Backtracking Search algorithm (BSA) is used to increase the population diversity of particle swarm optimization without increasing the complexity of the algorithm. At the same time, the cross-mutation mechanism is introduced to enhance the global search ability of the algorithm. Finally, the validity of the improved algorithm is verified from three aspects: the accuracy of the algorithm, the convergence speed and the statistical test.
Getting more out of Area of Interest (AOI) analysis with SPLOT

To analyze eye-tracking data the viewed image is often divided into areas of interest (AOI). However, the temporal dynamics of eye movements towards the AOI is often lost either in favor of summary statistics (e.g., proportion of fixations or dwell time) or is significantly reduced by “binning” the data and computing the same summary statistic over each time bin. This paper introduces SPLOT: smoothed proportion of looks over time method for analyzing the eye movement dynamics across AOI. SPLOT comprises of a complete workflow, from visualization of the time-course to performing statistical analysis on it using cluster-based permutation testing. The possibilities of SPLOT are illustrated by applying it to an existing dataset of eye movements of radiologists diagnosing a chest X-ray.
Information on State Assessments for English Learners

Student Assessment Home  | Assessment A–Z Directory | Contact Student Assessment This webpage contains information on state assessments for English language learners (ELLs) and includes resources for  STAAR  STAAR L, the linguistically accommodated version of STAAR Texas English Language Profi
PENERAPAN PERMAINAN KERETA ANGKA UNTUK MENINGKATKAN KEMAMPUAN BERHITUNG ANAK USIA DINI

Numeracy is a basic ability that must be possessed by children. Through arithmetic, children will learn to solve problems (problem solving) accustomed to arithmetic which always happens in every day-to-day activities. But early childhood introducing numbers is not easy, therefore it is needed support as a medium or interesting game for children so that the introduction of numbers and counting becomes easy and fun. The purpose of this study is to implement the number train game to improve the numeracy ability of group B children in Al-Islah Genteng Banyuwangi Kindergarten. The method used is a Hopkins model classroom action research with research subjects 25 children in group B procedures for data collection by observation, and tests. Qualitative and quantitative data analysis techniques. The results showed that there was a significant increase in the ability to count early childhood through the numbers train game.
LibGuides: Off-Campus Access: Remote Access to Content

This guide will help you locate information resources on online teaching and troubleshoot common issues with access to library resources from off-campus.
A Precise Layout Manager for Vector Graphics

Automated layout is the use of software to determine the positions and sizes of visual elements that are part of an information presentation. As the amount of data that computers are able to process increases, automatic layout becomes more necessary. During the process of creating a program visualization, the authors needed a precise layout manager for scalable vector graphics that supported layers and animations. A literature review revealed the lack of a layout manager that satisfies these requirements. This paper reports the creation of a layout manager that uses floating-point arithmetic for precise and imperative arrangement of visual elements, that may be useful for other visual applications facing similar requirements.
Eigenlenses: an eigenvectors-based model for full crystalline lens shape description

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.
Guides @ UF: Course Reserves for George A. Smathers Libraries: Home

Learn about Course Reserves and how they can contribute to your teaching and learning experiences.
WEB-BASED CLASSIFICATION INFORMATION SYSTEM FOR WEB-BASED AT PT. SINTECH BERKAH ABADI

ABSTRACT&#x0D; PT. Sintech Berkah Abadi is one of the providers of software solutions in the global market, providing business-based and high-tech solutions for customers throughout Indonesia. At present in terms of archiving data that is accessed is still using a manual system and not yet computerized, the process of searching for archives is quite time consuming and making reports still uses Microsoft Excel. This study aims to design a web-based archival classification information system to make it easier to manage file management properly. In this study using data collection methods namely observation, interviews and literature study. In the system analysis method used is the SWOT analysis, the design method used is Extreme Programming (XP). The results of the system design by using a web-based system can facilitate users in inputting data, storing data, searching for data, and making more accurate archive reports, so that archiving can run effectively and efficiently.&#x0D; Keywords: Filing Information System, Classification, Search
Hybrid coherent encryption scheme for multimedia big data management using cryptographic encryption methods

In today's world of technology, data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over internet from different media and applications have greater challenging tasks. Data generation from multimedia and IoT data is another biggest big data in internet now. When sensitive and confidential data are counterfeit by attacks this requires serious countermeasures for security and privacy. Many cryptographic techniques are used for multimedia and IoT but when massive data are developed there are more computational challenges. This paper proposes a new coherent encryption algorithm solving issue of IoT and multimedia big data. Handling huge data with the help of GPU is included in order to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms based on architecture, flexibility, scalability, security level and also based on computational running time, throughput for both encryption and decryption process and avalanche effect.
Western Exploitations and the Nexus of African Underdevelopment

This paper examines Walter Rodney's argument of How Europe Underdeveloped Africa and its justification years after political independence.The paper has adapted Dependency Theory.The paper has reveals that widening gap between Developed and Underdeveloped States is as a result of both external and internal factors especially the colonial integration of African economies in the World Capitalist System and its exploitative institutions and programmes and internal factors of both systemic and institutional corruption, political instability, colonial mentality of consumption and other factors are responsible for underdevelopment of Africa with attendant effects of poverty, inequality, unemployment, disease and infrastructural decay etc. on basis of conclusion.The paper recommended that visionary and purposeful leadership that surrounds itself with experts will initiate and sustain revolutionary development in Africa.Also proper planning and continuity in developmental policies and programmes and united front against corruption be strictly adhered to for the continent to develop.