Reviewerly/exHarmony huggingface dataset:
Προβλέψεις ποιοτικών και ποσοτικών παραμέτρων νερού καρστικής υφάλμυρης πηγής με τη χρήση νευρωνικών δικτύων. Εφαρμογή στην πηγή του Αλμυρού (Ηράκλειο, Κρήτη)

The purpose of the present master's thesis is to understand the natural system of the karstic source of Almyros in the Prefecture of Heraklion, Crete through the creation of a neural network which will be structured in the form of time series data.Neural networks aim -among other uses- to create a function, which will make use of a series of input variables (or independent variables) that can predict an output variable (dependent variable). The master's thesis will utilize rare data and will create a metamodel with a high degree of statistical independence, through which it will be possible to predict future time steps of water discharges. Through this mathematical model, it will be attempted to simulate existing observations with a high degree of accuracy. The first chapter of the thesis focuses on the description of Almyros as a natural system. Reference is made to previous studies with hydrological, geological, climatological, anthropogeographical and other environmental data. The second chapter of the paper describes relevant statistical techniques that are of high interest and are related to the present study. The third chapter of the work refers to the process and the details of the construction of the metamodel. The MATLAB programming language was used to construct the metamodel. The construction involves a non-linear self-regulating neural network (NAR). Its architecture, its features, as well as quality indicators in terms of its degree of reliability, are discussed in this chapter. Finally, chapter 4 refers to the conclusions of the study and makes suggestions for future research.
What’s in a Name? Archives for Black Lives in Philadelphia and the Impact of Names and Name Authorities in Archival Description

This chapter begins with a literature review that explores the relationship between the archives and library professions’ centering of whiteness and their implementation of description practices, including the A4BLiP group and its past and current projects, and describes the major challenges to implementing inclusive and ethical name description and name authority work in archival description. It concludes with preliminary proposals for implementing an anti-racist approach to name authorities and name access, taken from A4BLiP’s draft recommendations for anti-racist archival description.
A Survey: Identification of Throat Cancer byMachine Learning

Medical applications in Machine Learning (ML) algorithms is well-being state on analyzing the different attributes that have a high impact on getting illness. Cancer is one amoungof the human disease where researchers are still struggling for the complete cureness and it is also unpredictable. Cancer is a heterogeneous disease and its treatment varies from one type to another and can inculcate different phases. Throat cancer is a tumor that spreads throughout the voice box (larynx), tonsils, or throat (pharynx). In the initial stage, it is actively recommended to diagnose throat cancer and get proper medication. Deep Learning (DL) image processing techniques and ML techniques are used to effectively predict the throat cancer specifically for the supervised learning classification algorithms. This paper reviewed theML and DLbasedresearchactivities undertaken to classify cancer of the throat cancer.
LibGuides: STEM Librarians South 2021: Home

A resource guide to the STEM Librarians South Conference for 2021, held virtually, hosted by Texas State University Libraries.
Central Louisiana Technical Community College Library: Pharmacy Technician: Library Resources: Databases and Electronic Resources

This LibGuide will provide you with basic information about Pharmacy Technology.Use the tabs to the left to get information on finding books, finding articles from magazines and journals, and locating recommended websites with useful information.
Problems of formation of future manager-teacher management culture in educational processes

The article describes the formation of management culture, management, competencies, organizational forms aimed at improving the education system and its effectiveness, the interaction of leaders and teachers in educational institutions, the study of management culture, management organization and the formation of a management culture.Talent means dealing with life and performing professional duties in a particular field. The ability is based on the knowledge of the ways of activity, existence, when thinking about the ability to act in pedagogical experience conditions, the ambiguity of goals, as well as the existence of a professional strategy are among the activities that depend on the teacher's activity or behavior strategy, that is, on the competence.
Dynamic Conflict Resolution Using Justification Based Reasoning

We study conflict situations that dynamically arise in traffic scenarios, where different agents try to achieve their set of goals and have to decide on what to do based on their local perception.We distinguish several types of conflicts for this setting.In order to enable modelling of conflict situations and the reasons for conflicts, we present a logical framework that adopts concepts from epistemic and modal logic, justification and temporal logic.Using this framework, we illustrate how conflicts can be identified and how we derive a chain of justifications leading to this conflict.We discuss how conflict resolution can be done when a vehicle has local, incomplete information, vehicle to vehicle communication (V2V) and partially ordered goals.
All Web Pages: QR / Library hours and information: Hours

QR code for Library hours and information; holiday hours changes; COVID Screening entry stations for ED II Building and Library access
An enhanced algorithm for scheduling dependent tasks in cloud computing environment

Cloud computing is a model that aims to deliver a reliable, customizable and scalable computing environment for end-users. Cloud computing is one of the most widely used technologies embraced by sectors and academia, offering a versatile and effective way to store and retrieve documents. The performance and efficiency of cloud computing services always depend upon the performance of the execution of user tasks submitted to the cloud system. Scheduling of user tasks plays a significant role in improving the performance of cloud services. Accordingly, many dependent task scheduling algorithms have been proposed to improve the performance of cloud services and resource utilization; however, most of the techniques for determining which task should be scheduled next are inefficient. This research provided an enhanced algorithm for scheduling dependent tasks in cloud that aims at improving the overall performance of the system. The Dependent tasks were represented as a directed acyclic graph (DAG) and the number of dependent tasks and their total running time were used as a heuristic for determining which path should be explored first. Best first search approach based on the defined heuristic was used to traverse the graph to determine which task should be scheduled next. The results of the simulation using WorkflowSim toolkit showed an average improvement of 18% and 19% on waiting time and turnaround time were achieved respectively.
IoT Based Smart Irrigation System

- Villages are the back bone of our country. Agriculture is the main source of income. In our country, agriculture provides 18% of our country’s Gross Domestic Product (GDP). Our Government repeatedly highlighting the importance of innovations in the agriculture field through various schemes. Since our agriculture is largely depends on the irrigation system rather than natural rain, as an engineer it is our responsibility to atomize it with necessary optimization techniques. Our proposed work inculcates data control management, IoT, optimization and so on. Irrigation through atomized algorithm reduces time, money &amp; water usage. In this period, this kind of atomization in each and every field utilizes all the recent technologies to implement its ideas beautifully.
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates Using Machine Learning

We implement a method for re-ranking top-10 results of a state-of-the-art question answering (QA) system. The goal of our re-ranking approach is to improve the answer selection given the user question and the top-10 candidates. We focus on improving deployed QA systems that do not allow re-training or re-training comes at a high cost. Our re-ranking approach learns a similarity function using n-gram based features using the query, the answer and the initial system confidence as input. Our contributions are: (1) we generate a QA training corpus starting from 877 answers from the customer care domain of T-Mobile Austria, (2) we implement a state-of-the-art QA pipeline using neural sentence embeddings that encode queries in the same space than the answer index, and (3) we evaluate the QA pipeline and our re-ranking approach using a separately provided test set. The test set can be considered to be available after deployment of the system, e.g., based on feedback of users. Our results show that the system performance, in terms of top-n accuracy and the mean reciprocal rank, benefits from re-ranking using gradient boosted regression trees. On average, the mean reciprocal rank improves by 9.15%.
Research and Course Guides: Web Content: Home

Web content guides and templates for Library Research and Course Guides and more relating to code, content, and accessibility
A New Mechanism for Enhancing the Security of Military Internet of Things by Using Quantum and Classic Cryptography

One of the dangers that is inflicted to the world by quantum algorithms is their usage to break the security of some systems based on classical cryptography. Nonetheless, the security of systems based on quantum cryptographic algorithms is safe from this risk. Another useful feature of quantum cryptography algorithms is the ability to figuring out any eavesdropping in the communication channel. Also, it is possible to safely distribute shares from the stock maker to the shareholders in the quantum secret sharing algorithm, while this is not possible in the classic secret sharing algorithm. One of the most important applications of the Internet of Things (IoT) network is the Military Internet of Things (MIoT). Due to the fact that MIoT has a direct impact on battlefields, military usage of IoT is more important than civilian applications. Therefore, security issues related to various parts of the MIoT are very critical. In this paper, we have presented a new design using a combination of classical cryptography (specifically the newly introduced digital signature scheme) and quantum cryptography (specifically quantum secret sharing) to improve the security of MIoT. Compared to similar research that have been conducted in this area, the introduced scheme provides more security requirements and is resistant to almost most of famous attacks on this network.
Forensic Application of Next Generation Sequencing Technology in the Typing of Y Chromosome Genetic Markers.

The paternal inheritance characteristics of Y chromosome have been widely used in the forensic genetics field to detect the genetic markers in the non-recombining block, and used in the studies such as, genetic relationship identification, mixed stain detection, pedigree screen and ethnicity determination. At present, capillary electrophoresis is still the most common detection technology. The commercial detection kits and data analysis and processing system based on this technology are very mature. However, the disadvantages of traditional detection technology have gradually appeared with the rapid growth of bio-information amount, which promotes the renewal of forensic DNA typing technology. In recent years, next generation sequencing （NGS） technology has developed rapidly. This technology has been applied to various fields including forensic genetics and has provided new techniques for the detection of Y chromosome genetic markers. This article describes the current situation and application prospects of the NGS technology in forensic Y chromosome genetic markers detection in order to provide new ideas for future judicial practice.二代测序技术在Y染色体遗传标记分型中的法医学应用.法医遗传学领域常利用Y染色体的父系遗传特点，对非重组区遗传标记进行检测并用于亲缘关系鉴定、混合斑检测、家系排查以及种族推断等研究。目前毛细管电泳仍是应用最为广泛的检测技术，基于该技术的商业化检测试剂盒及数据分析处理系统十分成熟。随着生物信息量的增长，传统检测技术通量低的弊端逐渐显现，推动了法医DNA分型技术的革新。近年来，二代测序（next generation sequencing，NGS）技术发展迅速，其应用已被推广到包括法医遗传学在内的各领域，为Y染色体遗传标记的检测提供了新的技术手段。本文就NGS技术应用于法医学Y染色体遗传标记检测的研究现况和应用前景进行阐述，以期为后续司法实务提供新思路。.法医遗传学；二代测序；Y染色体遗传标记；综述.
POLOTSK LIBRARY SOCIETY. OVERVIEW OF THE LIBRARY ACTIVITIES IN THE FIRST YEARS OF ITS EXISTENCE (1912–1914)

The article examines the activities of the Polotsk public library in the first years of its existence and its contribution to the formation of the cultural and educational heritage of the region.
Measuring and Modeling the Impact of Buffering and Interrupts on Streaming Video Quality of Experience

Streaming video clients use playout buffers to smooth out variations in network bitrates, especially important for mobile devices. The playout buffer sizes trade-off: the time delay before a video starts playing with interrupts when a video stops playing in the middle. The best buffer size a client should choose for the video and network conditions depends upon the relative impacts of buffering delays and interrupts on the user quality of experience (QoE). We design user study experiments that isolate buffering delays and interrupts, allowing for direct, quantitative comparisons of the impact on QoE for buffering delays versus interrupts. In our user study, over thirty users watched and rated 17 videos with a broad range of content, encoded with varying amounts of buffering delays and interrupts. Analysis of the data reveals interrupts more costly to QoE than the corresponding amount of buffering by a factor of about 2 to 1. The data is used to construct an analytic model of QoE which incorporates the impacts of buffering delays and interrupts, a model that can be a tool for assessing and improving how streaming video clients pick buffer sizes to maximize user QoE.
Multi-Input Query Image Retrieval That is Adaptive to User's Intention

In this paper, a new approach for image retrieval that is adaptive to user's intention is proposed. Because image content has so many interpretations to represent by a word, CBIR has been developed as a powerful tool for image retrieval. The conventional CBIR searches and sorts images where retrieved image is similar to a query input image. The retrieval works well when features of appropriate query input image are extracted. However, it is difficult to prepare the optimal feature as well as query image that corresponds to user's desired still image and/or video content.
The Sprague-Grundy Functions of Saturations of Misère Nim

&#x0D; &#x0D; &#x0D; We consider misère Nim as a normal-play game obtained from Nim by removing the terminal position. While explicit formulas are known for the Sprague-Grundy functions of Nim and Welter's game, no explicit formula is known for that of misère Nim. All three of these games can be considered as position restrictions of Nim. What are the differences between them? We point out that Nim and Welter's game are saturated, but misère Nim is not. Moreover, we present explicit formulas for the Sprague-Grundy functions of saturations of misère Nim, which are obtained from misère Nim by adjoining some moves.&#x0D; &#x0D; &#x0D; &#x0D;
Galveston College Library: Online Library Resources: Find Articles

This guide is designed to help online students locate and use the GC Library's online resources.
Blogger RSS Feed: All You Need To Know

If you own a blog, then you presumably have an RSS channel, which gives you loads of choices with regards to dispersing your substance with your crowd ...
Practical Applications with Spring Data and R2DBC

So far, you’ve learned that R2DBC drivers provide a way to take advantage of the R2DBC API to utilize reactive code with relational databases. But you’ve likely noticed that there is quite a bit of work that is involved in creating a complete data access layer (DAL), which isn’t something that is unique to R2DBC. In fact, one of the main benefits of R2DBC is that it doesn’t aim to be a general-purpose data access API.
Singular skeleton in speckle field

Phase extraction and applications of the speckle vortex field with spiral wavefront and stable core structures of phase singularities has become an important research content in the field of optical measurement. Phase singularities in the speckle field constitute singular skeleton. We use an experimental system to measure the deformation displacement based on the singular skeleton. In the experiment, a liquid crystal spatial light modulator (LC–SLM) is used to generate speckle field, and the output speckle image is captured by the CCD camera. By processing the speckle pattern, the singular skeleton of the speckle field is depicted. Based on the singular skeleton, the deformation translational displacement of the test sample is obtained. The experimental results show that high-resolution optical measurement methods can be developed based on the singular skeleton of the speckle field.
Design of an Interactive Mobile Platform to Assist Communities in Voluntary Cooperation to Counter the COVID-19 Outbreak

The COVID-19 pandemic brought some challenges to humanity, such as the need to reduce the circulation of people while still meeting basic needs such as food, health care and education. People with commodities or who belong to risk groups needed to isolate themselves and the world saw several new technologies and business models being launched in a short time. This work, in line with the necessary innovations given the health crisis, but also striving for solidarity, proposes and demonstrates the functions of a free platform based on a mobile application that provides essential services for the population of risk groups. In addition, it also uses the moment to launch and encourage the consumption of services by the application that can speed up the orientation work and even increase the public safety of the university campus. This project was implemented at one University.
EFEKTIVITAS EDUCATION MANAGEMENT INFORMATION SYSTEM (EMIS) DI MADRASAH ALIYAH NEGERI 5 SLEMAN

Abstract: Education Management Information System (EMIS) at MAN 5 Sleman is a one-door online madrasah data collection but in reality there are still often problems such as the National Student Registration Number (NISN) is not appropriate, NISN is not found and there is student data that is not found / lost in the application EMIS. This has resulted in its own constraints in managing EMIS data at MAN 5 Sleman. The purpose of this study was to determine the effectiveness of EMIS in MAN 5 Sleman and the effect on the success of students taking the National Computer Based Test (UNBK). The benefit of this research is that the wider community knows that MAN 5 Sleman in data management has used an online system called EMIS, so that data that is at MAN 5 Sleman can be accessed anytime and anywhere. This type of research uses descriptive qualitative methods, while the data collection techniques use interviews, observation and documentation with the data validity test by means of triangulation
Interactive Alignment and Linguistic Representations

The chapter presents the theory of interactive alignment and primarily focuses on the alignment of linguistic representations underlying the utterances that each speaker contributes to the dialogue. Such representations enable interlocutors to formulate phrases, words, or gestures that move the dialogue forward. We also consider two dimensions of alignment (focal vs. global, and linguistic vs. dialogue model) and how alignment relates to reference and the role of dialogue routines in support of alignment.
Creative Approaches to the Creation of Contemporary Art Objects and Features of their Legal Protection

This study is devoted to the analysis of the current state of legislation of Ukraine and EU countries on copyright protection of works with an unstable form of expression, as well as to determine the features of the legal protection of such objects. The purpose of the article was to explore the existing possibilities in the law of Ukraine and the law of the EU countries for the protection of works with an unstable form of their expression. The article, based on the analysis of international legal acts and national legislation, highlights the elements of protection of works. A significant place in work is devoted to the analysis of theoretical, legislative approaches to the definition of "creativity", "originality", "novelty". It is stated that there is no single waste to the definition of these concepts in the literature and not regulated in the legislation in the field of copyright. A comparative legal analysis of the case-law of the United Kingdom and the United States on the provision of legal protection to works with an unstable form. It is concluded that the normative definition of “creative work”, which is associated exclusively with works of cultural value, is not acceptable for copyright. The article analyses the judicial practice of Ukraine, which has developed in the definition of creative work and illustrates its ambiguity. It is concluded that judges, considering such cases, try to find some stable elements that are inherent in works with an unstable form of expression.
FraudFox: Adaptable Fraud Detection in the Real World

The proposed method (FraudFox) provides solutions to adversarial attacks in a resource constrained environment. We focus on questions like the following:How suspicious is ‘Smith’, trying to buy $500 shoes, on Monday 3am? How to merge the risk scores, from a handful of risk-assessment modules (‘oracles’) in an adversarial environment? More importantly, given historical data (orders, prices, and what-happened afterwards), and business goals/restrictions, which transactions, like the ‘Smith’ transaction above, which ones should we ‘pass’, versus send to human investigators? The business restrictions could be: ‘at most x investigations are feasible’, or ‘at most $y lost due to fraud’. These are the two research problems we focus on, in this work.One approach to address the first problem (‘oracle-weighting’), is by using Extended Kalman Filters with dynamic importance weights, to automatically and continuously update our weights for each ‘oracle’. For the second problem, we show how to derive an optimal decision surface, and how to compute the Pareto optimal set, to allow what-if questions. An important consideration is adaptation: Fraudsters will change their behavior, according to our past decisions; thus, we need to adapt accordingly.The resulting system, FraudFox, is scalable, adaptable to changing fraudster behavior, effective, and already in production at Amazon. FraudFox augments a fraud prevention sub-system and has led to significant performance gains.
SE-U-Net: Contextual Segmentation by Loosely Coupled Deep Networks for Medical Imaging Industry

We proposed a context segmentation method for medical images via two deep networks, aiming at providing segmentation contexts and achieving better segmentation quality. The context in this work means the object labels for segmentation. The key idea of our proposed scheme is to develop mechanisms to elegantly transform object detection labels into the segmentation network structure, so that two deep networks can collaboratively operate with loosely-coupled manner. For achieving this, the scalable data transformation mechanisms between two deep networks need to be invented, including representation of contexts obtained from the first deep network and context importion to the second one. The experimental results reveal that the proposed scheme indeed performs superior segmentation quality.