Reviewerly/exHarmony huggingface dataset:
THE ESTIMATION OF FLOOD-AFFECTED AREA IN THE DOWNSTREAM OF CODE RIVER, YOGYAKARTA, INDONESIA

The rapid development of settlements and sediment deposition has increasingly narrowed the drainage in the Code River. This condition causes floods and wider distribution of the affected areas. This research aims to estimate the maximum amount of rain, predict the probability of flood, and predict flood-prone areas in the Code River. Data were collected by observation, remote sensing image interpretations, literature studies, and documentation. Data analysis was performed using Log Pearson Type III for design rainfall analysis, Weibull formula for flood probability analysis, and rational method for planning maximum discharge analysis. Flood modeling is carried out by the iteration method. The results show: (1) the maximum amount of rain based on the calculated design rainfall with a return period of 5 to 40 years is R5 = 106.83 mm, R10 = 116.67 mm, R20 = 127.30 mm, R40 = 134.25 mm, (2) the probability of flood that is predicted from the maximum discharge caused by the design rainfall at each return period is Q5 = 82.45 m3/sec, Q10 = 89.42 m3/sec, Q20 = 96.95 m3/sec, Q40 = 101.86 m3/sec. (3) Inundation of the flood target area in the 5-year return period covers an area of 0.4456 km2, the 10-year return period covers 0.5209 km2, the 20-year return period covers 0.6023 km2, the 40-year return period covers 0.6555 km2. This paper presents information on the potential for a flood at various return periods to increase preparedness and reduce risks due to flood disasters.Keywords: Disaster, Floods, Estimated Flood-Affected Areas, Code River, Yogyakarta
THE TWO NOVEL ACTIVATION FUNCTIONS FOR ARTIFICIAL NEURAL NETWORK (ANN)

The Whole Exploration and Expansion nature of an Artificial Neural Network is dependent on some Activations functions, such as a Sigmoid function ,Rectified Linear Unit (Relu) , but still they contains some possible exponentially errorneous nature, which we see when we trained an Artificial Neural Network using Multilayer Perceptron contains a large number of layers , so we developed a novel Activations functions which works on the exponentially growth of these layers and when the number of hidden layers would have been increases we will reached a better accuracy and finding a better optimized threshold.We generally discovered two novel Activation Functions, both react with better accuracy as compared to preciously discovered Activation Functions under the space of points.A Negative and Positive number scale represents how we reached a better optimization threshold with better accuracy when we increases the marginal distances between two numbers , the curve also adopts a very smoothly nature which shows the exponential rate and the execution time is more better than some other previously Activations Functions.The growth rate per sample or the growth rate per points would be also improve.To know about detailed of these novel Activation Functions, and explore these Activations Functions, adopt some mathematical background to prove its authenticity.
A View from the Top: Library Leaders’ Predictions for the Future of Science Liaison Librarianship

Library leaders at academic institutions in the United States at the level of University Librarians, Library Directors, and Library Deans were surveyed about their predictions for the future of science liaison librarianship and the importance of science subject specialization. Responses from 71 library leaders at institutions ranging from community colleges through large, research intensive universities provide insight into evolving roles for academic science librarians. Key findings include that library leaders perceive functional roles such as data management and scholarly communication growing in importance, yet they are rarely seen as replacing traditional subject-based ones. Subject specialization is still seen by many as a desirable qualification for science librarians, even though smaller institutional size and budget constraints may necessitate a more generalist approach. While there was no consensus on the necessity of science subject specialization, and whether or not science liaison librarianship would retain this characteristic in the future, there was a widespread acknowledgement of the value of liaison relationships with science faculty and others at their institutions.
Analysis of Use of Feeders to Minimize Lightning Strikes on Medium Voltage Networks

Electricity no could separated with life society . Benefit energy electricity for life man very a lot of source lighting and needs other . By because that very required reliability in electrical energy delivery from center generator power electricity until to consumer . A proper protection system is needed could prevent happening damage in particular on feeder 20 kv . Frequent things occur for example occur disturbance strike lightning that can result in damage and cut off delivery of electrical energy . By because that for prevent happening disturbance caused _ by lightning the eat coordination safety lightning (arrester) must conducted with good . PT PLN ( Persero ) Pematang Area Siantar is a service unit serving customers needs electricity in the area Pematang Siantar and surrounding. PT PLN ( Persero ) Pematang Area Siantar also To do care , and repair on network voltage medium 20 kV distributed from substation parent to consumer.
Propositions as Interpreted Abstracta

This chapter considers a specific theory of propositions, developed by Jeffrey C. King, and draws a general lesson for the debate about propositions. It describes a general approach to giving a theory of propositions: that they are interpreted abstracta, i.e., that they are abstract objects of a certain sort which are interpreted. This approach is called as interpretivism. The chapter reviews theory that the interpreted abstracta are tuples of objects and properties: the tuple theory as an example. It also describes King's version of interpretivism. King takes his version of interpretivism to include a better, well-motivated choice of abstracta to be interpreted. The chapter explores against the part of King's theory which is supposed to motivate his particular choice of interpreted abstracta. It concludes that many more types of abstracta could be used in an interpretivist theory than are usually considered to be serious candidates.
Implementation of User Centered Design Approach in User Interface Design and User Experience Website Worker's

Abstract: The system quality can be affected by user involvement. It is necessary to implement User Centered Design (UCD) in the UI/UX Design of the Worker's Website. This study aims to evaluate and redesign the UI/UX of Worker's Websites with the UCD and SUS (System Usability Scale) methods in order to make it easier for prospective workers or the public to use website profiling. Data was collected via interview with 30 responds where the results of the interviews are used as a reference for making new designs and then evaluating the new designs with a closed questionnaire to the same respondents. The result of SUS method questionnaire revealed that new design by using UCD was in the excellent category with score 84. It can be concluded that UI/UX design with a UCD allows easy to use worker's website.
Print Book Circulation Longevity Dropping at a Small Canadian University Library

A Review of: Belvadi, M. (2021). Longevity of print book use at a small public university: A 30-year longitudinal study. Insights, 34(1), 26. http://doi.org/10.1629/uksg.562 Abstract Objective – To inform future collecting decisions by ascertaining the circulation longevity of print books within an academic library. Design – Longitudinal data analysis of two circulation datasets. Setting – Library catalogue of a small public university in Canada. Subjects – 10,002 print books acquired between 1991 and 1996 with a first circulation year between 1991 and 2000 (part 1); 4,060 print books acquired and with a first circulation year between 2008 and 2011 (part 2A); 35,860 print books acquired since 1991 with a first circulation year between 2008 and 2011 (parts 2B). Methods – The researcher established two datasets by selecting books with viable circulation data from the institution’s holdings. Using each book’s Library of Congress classification number, the researcher mapped each book to three other categorization schemes. The first scheme, Becher-Biglan topology, categorizes books as belonging to either applied or hard and pure or soft fields of study. The second scheme, called in the paper “major subjects,” uses a traditional broad subject categorization (e.g. arts, sciences, health, etc.), and the third scheme categorizes books by the academic programs at the researcher’s institution. The researcher then analyzed the circulation data through the lens of these three categorization schemes. Main Results – Part 1, which considered the collection’s older circulated books, found that books had an average circulation longevity of 10 years. About 14% of books circulated for only one year, and about 24% of books circulated for less than five years. Among the newer books considered in Part 2, 37% circulated for just one year and 64% had a circulation longevity of four years. Conclusion – Books in applied and hard fields generally have greater longevity compared to pure and soft fields. Books in professional and STEM fields generally have greater longevity than books in the humanities and arts, contrary to conventional library wisdom. Print book circulation longevity appears to be dropping. Subscription and on-demand acquisitions options may prove to be a more efficacious use of resources than ‘just-in-case’ print collecting.
NoRCEL and its Outreach in Sub Saharan Africa

&amp;lt;p&amp;gt;Currently there are low levels of access to high quality education and learning facilities in certain developing nations, especially in sub-Saharan Africa. For example, at best, some university facilities there are barely comparable to western high school levels and, at worse, they don&amp;amp;#8217;t even have modern laboratory equipment; the basics that they do have being relics from the 1960&amp;amp;#8217;s and 70&amp;amp;#8217;s. In addition, I know of at least one secondary school in Malawi where there are two &amp;amp;#8220;sittings&amp;amp;#8221; &amp;amp;#8212;a morning session for one set of pupils and an afternoon for the second. Both with the same teachers. That is to say, there is both the lack of qualified teachers and they cannot afford to expand the school. During the last six years I myself have been promoting science throughout parts of the developing world, principally through astronomy because this is one science which is common to humanity.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;I have given numerous oral presentations on space in general, astrochemistry, astrobiology and astrophysics as well as helping to promote an interest in these subjects by holding specific workshops. Until now, I have been operating as a &amp;amp;#8220;one-man band&amp;amp;#8221; and the challenge is to encourage students to become involved and active in astronomy, astrophysics, astrochemistry and astrobiology (the astroscience) and then to support them should they wish to progress further and take up a career in these fields. There are many difficulties to overcome, including lack of awareness and inclusion with the wider world, as well as a severe lack of funding. The many talented and able students who could become assets in the field of astronomy are missing out and if only they had the opportunity, they could really develop their capabilities and become excellent researchers and astronomers. In order to even stand a chance of making this happen, we need liaison with European established organisations that can deliver both expertise, funding and definitive, quantifiable schemes which will raise the expectations of these students as well as the universities. The ultimate goal is to put astronomy on the curriculum. The interest I have so far been able to generate amongst students is intense and I have been inspired by their enthusiasm, so the time is now right to develop and widen these activities in a more organised and proactive manner and this is where NoRCEL comes into force.&amp;lt;/p&amp;gt;
Application of graph data science and graph databases in major industries

Graph data science can be used across several key industries such as Social Media Networks, Finance, Healthcare, Risk Management, Transportation, and Supply Chain. Using Graph databases, data can be presented in a new way which may open unlimited conceivable outcomes and help to tackle complex issues. In this chapter, we will see how these Graph Models help to resolve real-world problems in an unconventional and highly efficient way.
Learning-Based Shared Control Using Gaussian Processes for Obstacle Avoidance in Teleoperated Robots

Physically inspired models of the stochastic nature of the human-robot-environment interaction are generally difficult to derive from first principles, thus alternative data-driven approaches are an attractive option. In this article, Gaussian process regression is used to model a safe stop maneuver for a teleoperated robot. In the proposed approach, a limited number of discrete experimental training data points are acquired to fit (or learn) a Gaussian process model, which is then used to predict the evolution of the process over a desired continuous range (or domain). A confidence measure for those predictions is used as a tuning parameter in a shared control algorithm, and it is demonstrated that it can be used to assist a human operator by providing (low-level) obstacle avoidance when they utilize the robot to carry out safety-critical tasks that involve remote navigation using the robot. The algorithm is personalized in the sense that it can be tuned to match the specific driving style of the person that is teleoperating the robot over a specific terrain. Experimental results demonstrate that with the proposed shared controller enabled, the human operator is able to more easily maneuver the robot in environments with (potentially dangerous) static obstacles, thus keeping the robot safe and preserving the original state of the surroundings. The future evolution of this work will be to apply this shared controller to mobile robots that are being deployed to inspect hazardous nuclear environments, ensuring that they operate with increased safety.
Bitcoin, Blockchains and the Bard

This essay considers the relationship between Shakespeare’s cultural capital and the crypto-currency called Bitcoin, whose monetary ‘value’ fluctuates wildly (stylistically the name of the currency is capitalized, while the individual units are not). Each bitcoin is developed through ‘mining,’ the term for someone solving an algorithmic puzzle sent out to a network of users. This fairly new form of purchasing power could only exist through the development of blockchains, which are the record of transactions entered into a type of ledger, expanding with each new transaction. After tracing the origins of digital currency first, this essay turns its attention to blockchains to consider the value of each one for today’s investor, miner, and user of Shakespeare.. The third section of the essay connects Shakespeare’s dispossessed agency with this new form of monetary exchange, by focusing on the decentralization of Bitcoin, Blockchains, and the Bard. This essay also shows how the value of all three is determined by context, location, and use so that value is in the eye of the beholder; whether a Shakespeare scholar or a Bitcoin miner or a block chain itself, these variable objects remain “unsettled and unfettered, ever-moving in and out of human control.”
Retraction: The Solution of Network Intellectual Property Infringement under the Background of Big Data (J. Phys.: Conf. Ser. 1533 042048)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 23 September 2022
Retraction: Study on the Formation Process and Effect of Tactical Performance Ability of Youth Training Team Based on Big Data Analysis (J. Phys.: Conf. Ser. 1578 012034)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 23 September 2022
Cloud-based ERP construction process framework in the customer’s perspective

Process frameworks for the implementation of cloud enterprise resource planning (ERP) were derived and each process was examined through detailed comparisons with on-premise ERP construction processes, using process engineering characteristics. The process frameworks for implementing cloud ERP are classified into infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), content-as-a-service (CaaS), and software-as-a-service (SaaS), depending on the construction type, and are defined based on 6 derived processes, 21 activities, and numerous specific tasks. The process engineering characteristics of the final proposed process framework were further analyzed and examined in comparison to on-premise ERP construction processes with respect to differences and similarities. This study provides a theoretical foundation of standardized research on cloud ERP construction methods. As a practical guideline for stakeholders, it can be used in practice as a process tailoring tool, providing information on specific activities and tasks for each construction phase, contributing to the construction and spread of reliable cloud-based ERP systems from the customer?s perspective.
Refcount Field Identification for Linux Kernel Based on Deep Learning

Reference counting (refcount) is a common memory management technique in modern software.Refcount errors can often lead to severe memory errors such as memory leak and use-after-free.Many efforts to harden refcount security rely on known refcount fields as their input.However, due to the complexity of software code, identifying refcount fields in source code is very challenging.Traditional methods of identifying refcount fields are mainly based on code pattern matching and have great limitations such as requiring expert experience to summarize code patterns, which is a laborious job.Besides, the manually summarized patterns do not cover all cases, resulting in low recall rate.To address these problems, this paper proposes to characterize a field based on the field name and the code behavior associated with the field and designs a multimodal deep learning based approach.The paper implements a prototype of the new approach for Linux kernel code.In the evaluation, the precision and recall rate achieved by the prototype system are 96.98% and 93.54%, respectively.In contrast, the traditional identification method based on code pattern matching did not report any refcount fields on the testing set.In addition, we identify 61 refcount fields which are implemented with insecure data types in the latest Linux kernel.Until now, we have reported 21 of them to the Linux community, of which six have been confirmed.
Literature Survey on Big-Data Analytics and Tools

In the present technological world, a huge quantity of heterogeneous and complex data have been generated from various sources such as social media applications, sensors, IoT devices, Smartphone's, demographic data, business research and scientific data, worksheets, blogs, forums, E-commerce websites, search engines etc., These drastic data are more useful in one another way in our business or social activities to make some decisions.Thus, to get insight into data to find desired pattern it is necessary to make empirical analysis on the data.In this article, we have made a comprehensive literature that briefed the characteristics of big data, tools and techniques which are avail for processing heterogeneous-data and HDFS file systems to store the big-data.
An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election

The USA presidential election in 2020 has aroused the interest of society as a whole. Social media plays an essential role in campaigns due to how people express their ideas about a candidate. Therefore, analyzing messages posted on environments like Twitter is a challenging task that can be accomplished using sentiment analysis techniques. Our approach focuses on clustering algorithms that can determine positive and negative tweets related to the presidential candidates Joe Biden and Donald Trump.In addition, a new model is defined for representing a tweet, called hash index, by using the hashtag feature offered by Twitter. On the other hand, external validation is applied to the collected tweet by setting the sentiment derived from the Vader lexicon. Consequently, the experiments are evaluated using internal metrics like the Silhouette index or external ones like accuracy metrics.The experimental results show interesting achievements for the unsupervised approach that can determine a candidate’s popularity during the 2020 election.