Reviewerly/exHarmony huggingface dataset:
Hydrogeochemical and Statistical Characterization of Groundwater in the Lakes Region (Central Côte d’Ivoire)

Rural inhabitants depend on groundwater for their drinking water in the Lakes region of central Cote d’Ivoire. The aim of this study is to identify the factors responsible of the water mineralisation and the sources of major ions in groundwater within the area. 123 groundwater samples were collected and analysed for various physico-chemical parameters. Multivariate statistical techniques including Principal Component Analysis (PCA) and Cluster Analysis (CA) were applied on the dataset to evaluate the geochemical processes that control the hydrogeochemistry of groundwater. Ca-HCO3 and Mg-Ca-HCO3 hydrochemical facies predominate the groundwater samples. The first 4 factors explain 79.139% of the total variance, their loading allowing the interpretation of hydrogeochemical processes in the area. The sources of ions in the groundwater are due to two main factors: natural mineralisation and anthropogenic activities. The silicates mineral weathering such as acid hydrolysis of silicates provide the major part of the ions in groundwater such as Ca2+, Mg2+, and HCO3-. The concentrations of NO-3 and Cl- in groundwater were due to anthropogenic activities such as farming. Reduction-oxidation process produced Mn and Fe. The results of this study show the usefulness of multivariate statistical techniques in hydrochemical studies.
LibGuides: Occupational Therapy: Finding Anatomy Resources

This guide is intended to support doctor of occupational therapy students and their faculty with their scholarly research efforts.
A security aware workflow scheduling in hybrid cloud based on PSO algorithm

In real world, organization's requirements for high performance resources and high capacity storage devices encourage them to use resources in public clouds. While private cloud provides security and low cost for scheduling workflow, public clouds provide a higher scale, potentially exposed to the risk of data and computation breach, and need to pay the costs. Task scheduling, therefore, is one of the most important problems in cloud computing. In this paper, a new scheduling method is proposed for workflow applications in hybrid cloud considering security. Sensitivity of tasks has been considered in recent works; we, however, consider security requirement for data and security strength for resources. The proposed scheduling method is implemented in Particle Swarm linebreak Optimization (PSO) algorithm. Our proposed  algorithm considers minimizing security distance, that is maximizing similarity of security between data and resources. It, meanwhile, follows time and budget constraints. Through analysis of experimental results,it is shown that the proposed algorithm has selected resources with the most security similarity while user constraints are satisfied.
IceNLP Natural Language Processing toolkit

IceNLP is an open source Natural Language Processing (NLP) toolkit for analyzing and processing Icelandic text. The toolkit is implemented in Java.IceNLP er safn malgreiningartola, gefið ut með opnu leyfi, til þess að greina og vinna islenskan texta. Tolin eru unnin i Java.
Discussion on the Construction of Stroke Treatment Network under the Background of Big Data

Abstract Stroke, also known as cerebrovascular disease, is one of the diseases with high morbidity, mortality, disability rate and recurrence rate in China. According to the epidemiological survey data released by the Chinese association of stroke, there are 14.94 million stroke patients in China, with a prevalence of 11.14.8 per 100,000 and a incidence of 246.8 per 100,000.Cerebrovascular diseases kill 1.54 million people every year, with a mortality rate of 114.8 per 100,000.It is very important for stroke patients to receive thrombolytic recanalization within “golden hour”. The purpose of this paper is to analyze how the current network model of regional heart and brain therapy is implemented and how to integrate scattered stroke data locally into a complete national data network. Stroke centers can use information analysis technology to identify potential stroke patients and provide timely treatment for stroke patients. This is also a new direction of stroke treatment that this paper aims to explore.
Designing a New Hybrid Cryptographic Model using Coordinate Axes

With the rapid development of technology, one of the most important requirements in today’s systems is the reliable transfer of information and confidentiality. Thus, military, electronics, banking systems and many other places have become the fields of use of cryptography science. Cryptology methods are used to solve these problems. In this study, a new poly-alphabetic substitution cipher is designed using the coordinate axes. This hybrid method is a mix of the Polybius square cipher and the Vigenere cipher, reinforced with the RSA cryptography algorithm. There are multiple points for a letter in the coordinate axis and there is randomness in the calculation of these points, so the proposed method is a strong encryption method that is difficult to decode.
Application of Artificial Neural Network in Slope Stability Analysis

This paper mainly expounds the natural factors that affect the slope stability and the application principle of artificial neural network in the slope stability analysis. The advantages and disadvantages of general neural network and BP network are analyzed, and the corresponding countermeasures are put forward.
PELATIHAN MEMBUAT WEBSITE E-COMERCE DENGAN WEEBLY.COM DAN WEB BLOG

E-commerce or could be called electronic trading or e-commerce is the dissemination, purchase,sale, marketing of goods and services through the Internet or a computer network. All elementscontained in trading are applied to e-commerce such as customer service, product service, paymentmethod, and promotion way. The creative industry produced by some of the students of theaccounting study Program had problems with its marketing. The marketing that is done by one ofthem still utilizes the sales media by boarding ads on sales sites and social media. They don't yethave their own sales website to market their creative products because of limited insight andexpertise and cost to create a sales website. The trainee is a student of accounting study Program.The method performed in this dedication is descriptive. Also, to see how far their knowledge ofinternet technology is and how and for the sake of what they use the Internet, then do observationand interviews and discussions with the students of accounting study Program by giving Pree testand post-test, and evaluation of the competency of students after training. Thus, the results of thetraining that from the competency test results can be concluded that the 26 participants whoparticipated in the training were able to understand, know, and explain related e-commerce withweebly.com and web blog in marketing the products it produces.
Using Möbius strip to describe non-integral spin of electrons

Abstract This article presents a simple demonstration that can be used in high school/introductory college level courses to explain the meaning of ½-spin of fermions like electrons. One can use a simple-to-construct Möbius strip to distinguish 2π and 4π rotations of a point moving on the strip. This idea can then be extended to a pointer/arrow (in classroom settings, say a pen representing a classical analogue to the intrinsic spin vector), to show how a 4π rotation is needed to return the pointer, to its initial configuration with respect to the strip.
K-AMSOA: Privacy-Preserving Technique for Multiple Co-Related Sensitive Numeric Attributes using Dynamic Data Set

Privacy Preservation of released data is a serious issue now days. If a dataset contains multiple correlated attributes then privacy concerns related to data set increases, because data publisher has to release data set in such a way that data is secure from disclosures as well as their co-relation is maintain as well. If attributes whose co-relations should be maintained contain set of multiple numerical sensitive attributes then the privacy preserving become very tough task. So, there is a need of a new privacy preservation technique which is specially focused on this direction. This work is focused on privacy preservation for dynamic dataset. Here, dynamic data set means data publisher can add or remove attributes at the time of applying privacy preservation technique and release results. Data set attributes may be vary as per dataset release objective.
Assessing Security Operations in Healthcare to Ensure Quality Patient Care

Many healthcare organizations lack the necessary visibility to prevent cyberthreats and struggle to reduce the amount of time it takes to detect and respond to threats. This strain can significantly cripple patient care, risk patient safety and trust, compromise sensitive clinical data, and cause costly damages.
Research and Implementation of Remote Sensing Image Database Technology Based on Oracle9i

Abstract With the continuous development of remote sensing technology, more and more image data have been acquired. How to store these data safely and effectively has become an urgent problem that needs to be solved. In this paper, after analysing the types and development methods of image data, we decided to use VC to develop based on Oracle’s image database; an image database system is designed and implemented. Specific research work is mainly reflected in many aspects:
LibGuides: Research Data Management (RDM): Home

Lists resources to help researchers manage their research data, with an emphasis on Canadian tools.
Painting the road to Research DataManagement at the RCA

This presentation formed part of an event hosted by the Digital Curation Centre which explored the challenges and opportunities surrounding Research Data Management (RDM) in the arts with a focus on what RDM means in relation to practice research.Over the past year the RCA has been working to develop a Research Data Management service and associated policy. This presentation outlined the work that has already taken place, whilst also exploring plans for the future development and rollout of the service.
Token's function and role for securing ecosystem

The purpose of this study is to investigate the role and function of tokens to form a healthy blockchain-based ecosystem. Tokens must be constructed in a way that enhances their desired behavior to grow into a healthy token economy. The actions required of ecosystem participants in designing tokens should enable each individual to receive appropriate incentives (rewards) and encourage voluntary participation in taking this action. Also, all ecosystem participants must design to make the token ecosystem self-sustainable by generating profits. For example, in Bitcoin's proof-of-work method, mining is designed as a desirable behavior. Token-based services should be designed to induce multiple engagements, to design penalties for undesirable behavior, and to take into account evolutionary development potentials. Besides, the economic value of the entire token ecosystem will increase if the value that is designed and designed to take into account the revolutionary Innovation Possibility is greater than the reward amount paid to tokens. This study will contribute to presenting relevant service model by presenting how to design tokens and criteria when establishing blockchain-based service model. Future research is needed to discover new facts through a detailed comparative analysis between Tokennomics models
An Improved Demosaicking Algorithm Based on Region-Dividing

The Bayer Color Filter Array (CFA) is commonly used in such industries as digital cameras. However, due to the arrangement of color channels in the Bayer CFA, it becomes a problem to estimate the missed color information in each pixel. The algorithms that deal with this problem are named algorithms. There are many demosaicking algorithms, which show different efficiencies and image qualities for different images. This paper proposes an algorithm that combines two existing algorithms to reach better image qualities and acceptable computing complexities. The experimental results indicate effectiveness in terms of the balance between complexity and quality.
Encoding Legal Balancing: Automating an Abstract Ethico-Legal Value Ontology in Preference Logic.

Enabling machines to legal balancing is a non-trivial task challenged by a multitude of factors some of which are addressed and explored in this work. We propose a holistic approach to formal modelling at different abstraction layers supported by a pluralistic framework in which the encoding of an ethico-legal value ontology is developed in combination with the exploration of a formalisation logic, with legal domain knowledge and with exemplary use cases until a reflective equilibrium is reached. Our work is enabled by a meta-logical approach to universal logical reasoning and it applies the recently introduced LOGIKEY methodology for designing normative theories for ethical and legal reasoning. We explore and illustrate the application of the multilayered LOGIKEY approach for the modelling of legal and world knowledge that is constrained by context-dependent value preferences. The framework is then exemplary applied for explaining and resolving legal conflicts in property law (wild animal cases) within a modern proof assistant system.
Role of Teacher as Facilitator in School Literacy Movement at SD Al-Khodijah Merauke

SD Al-Khodijah Merauke is an Elementary School which is pioneering school literacy movement in Merauke. This study aims to describe the role of teacher as facilitator in the program of school literacy movement implemented at SD Al-Khodijah Merauke. There were eight teachers including the headmaster of SD Al-Khodijah Merauke as the object of this study. By overt observation and structured interviews the data were collected and then analyzed using Miles and Huberman’s three steps; reducing, displaying and verifying which were presented descriptive qualitatively. The result shows that there are two big roles of the teacher as facilitator in implementing school literacy movement at SD Al-Khodijah Merauke; 1) Creating reading materials due to the lack of them based on three consideration; literary works, animated picture, local wisdom; 2) Creating JuMaDi (Jumat Majalah dinding) a weekly wall magazine event due to the lack of students’ participation on the event. In other words, role of teacher as facilitator in the implementation of school literacy movement at SD Al-Khodijah Merauke can be called teacher as problem solver.
Scientific and Methodological Basis of Practice-Oriented Training of Students-Biologists in the Context of Modernization of Higher Education

This article is devoted to the problem of practice-oriented professional training of biology students in the context of modernization of higher education through the use of a set of professionally-oriented technologies, forms and methods of teaching that contribute to the formation of not only universal and professional competencies, but also the ability to reflect and professional self-actualization. The article presents a structural and functional model of practice-oriented professional training of future teachers, including target, theoretical-methodological, content and technological, evaluation blocks of professional training of future teachers. The effectiveness of the process of practice-oriented training of future teachers is determined by increasing the levels of their professional readiness according to the following criteria: motivational as a meaning-forming set of motives for professional activity (professional orientation, satisfaction with the profession); cognitive as a basis for the formation of special, methodological, psychological and pedagogical competencies (professional training, pedagogical thinking); personal as a teacher's readiness to form personally significant qualities, ways of personal self-expression and self-development (professional intentions, reflexivity).
PENGEMBANGAN MEDIA PEMBELAJARAN PUISI MENGGUNAKAN APLIKASI PREZI PADA SEMESTER GANJIL KELAS X

The purpose of this study to describe the development of poetry learning using the prezzi application at odd semester class X in the year 2018/2019 and its eligibility as a learning medium. The method of this research used research and development (R&D) method which adopted from Borg and Gall theory. The result showed that there were five phases used showed the material expert research result on learning spect gained 3.6 score with excellent category and the content aspect gained 3.7 score with a very good category. The assessment of media experts in the display aspect gained 3.75 score in the excellent category, the programming aspect obtained 3.3 score in the very good category, and the role aspects of media ini helping students to understand the material gained 3.8 score in the excellent category. And practitioner assessment in the appraisal scored 3.85 in the excellent category. Tujuan penelitian ini ialah mendeskripsikan pengembangan media pembelajaran puisi menggunakan aplikasi prezi pada semester ganjil kelas X tahun ajaran 2018/2019 dan kelayakannya sebagai media pembelajaran. Metode yang digunakan dalam penelitian ini adalah metode penelitian dan pengembangan ( research and development /R&D) yang mengadopsi teori Borg and Gall.  Hasil penelitian menunjukkan bahwa terdapat lima tahapan yang digunakan menunjukkan hasil penilaian ahli materi pada aspek pembelajaran memperoleh skor 3,6 dengan kategori sangat baik dan aspek isi memperoleh skor 3,7 dengan kategori sangat baik. Penilaian ahli media dalam aspek tampilan memperoleh skor 3,75 dengan kategori sangat baik, aspek pemrograman memperoleh skor 3,3 dengan kategori sangat baik, dan aspek peran media dalam membantu pemahaman materi memperoleh skor 3,8 dengan kategori sangat baik. Penilaian praktisi dalam aspek penilaiannya memperoleh skor 3,85 dengan kategori sangat baik. Keywords : development, media, prezzi, eligibility
LibGuides: Science for First Grade: Home

This science based libguide is for first grade teachers and homeschool partnerships working with ages 5-7. It is specific to the North Carolina Common Core for science but is easily adaptable for other science curricula studies.
LibGuides: Primary Sources for Catoctin Students: CHS Databases of Primary Sources

Use the databases and other tools in this guide to serach for and use primary sources in your research.
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment

In this paper, we study the inference of gender, major/minor (computer science, non-computer science), typing style, age, and height from the typing patterns collected from 117 individuals in a multi-device environment. The inference of the first three identifiers was considered as classification tasks, while the rest as regression tasks. For classification tasks, we benchmark the performance of six classical machine learning (ML) and four deep learning (DL) classifiers. On the other hand, for regression tasks, we evaluated three ML and four DL-based regressors. The overall experiment consisted of two text-entry (free and fixed) and four device (Desktop, Tablet, Phone, and Combined) configurations. The best arrangements achieved accuracies of 96.15%, 93.02%, and 87.80% for typing style, gender, and major/minor, respectively, and mean absolute errors of 1.77 years and 2.65 inches for age and height, respectively. The results are promising considering the variety of application scenarios that we have listed in this work.
Coverage with Sets Based on the Integration of Swarm Intelligence and Genetic Evolution

The composite architecture of a multi-agent bionic search system based on swarm intelligence and genetic evolution is proposed for solving the problem of covering with sets. Two approaches to hybridization of the search by particle swarm and genetic search are considered: sequential and combinatorial. The link of this approach is a single data structure describing the solution of the problem in the form of a chromosome. New ways of coding solutions and chromosome structures have been developed to represent solutions. The key problem that was solved in this paper is related to the development of the structure of the affine space of positions (solutions), which allows displaying and searching for solution interpretations with integer parameter values. In contrast to the canonical particle swarm method, to reduce the weight of affinity bonds, by moving the pi particle to a new position of the affine solution space, a directed mutation operator was developed, the essence of which is to change the integer values of genes in the chromosome. The overall estimate of time complexity lies within O(n2)−O(n3).
Light-weight, Real-time Internet Traffic Classification

The identification of TCP applications associated with Internet traffic is an essential step to apply quality-of-service policies, to monitor network usage for resource allocation at the server, and to maintain the security and integrity of those resources. However, one of the prime challenges posed by Internet traffic classification is its early identification, i.e., identifying a TCP application without having to go through the entire traffic flow. We work in this direction and propose a light-weight classifier that exploits the behaviour associated with different applications. In particular, our method uses the size of the first five packets of an Internet connection to classify the TCP application associated with it, using K-means clustering. Overall our classifier is simple, computationally light-weight, and can classify traffic in real-time with 97.68% accuracy. Moreover, it can also support high-speed links, detect potential new applications, and peer-to-peer traffic.
Libraries: Collection Development for Earth & Environmental Sciences in the Boston College Libraries: Scope and Collecting Emphases

Criteria for collecting and maintaining materials in the subject area of Earth & Environmental Sciences, with links to general library collection policies.
Online Reputation Evaluation of E-commerce Enterprises Based on Fuzzy Theory

Abstract With the development of network communication technology, the Internet technology is no longer the main factor restricting the development of e-commerce. While e-commerce facilitates people’s daily life, the amount and quantity of transactions have greatly increased, and the risks arising from the virtuality of transactions have also increased dramatically. The author, with the construction of online reputation evaluation index system of e-commerce enterprises, comprehensively evaluates the online reputation of e-commerce enterprises with transactions carried out at their self-built platforms, by means of fuzzy analytic hierarchy process (AHP). Through practical application, this paper provides technical support for online reputation evaluation of e-commerce enterprises.
What Cameras use Canon FD Lenses

Finding a 35mm film camera that has an FD lens mount can be difficult if you dont know what models to look for. The Canon AE-1 camera is the best ...