Reviewerly/exHarmony huggingface dataset:
Combining Position-aware CNN and RNN for Relation Extraction

Recurrent neural network (RNN) is often used for relation extraction that is based on long range dependency analyses and connections between nodes within the given sentences. However, RNN has a weaker ability in extracting certain important n-grams from the given datasets compared with convolutional neural network (CNN). Therefore, the combination of CNN and RNN becomes necessary for higher quality of relation classification. We propose Position-aware CNN (PA-CNN) which incorporates position information into CNN through an attention mechanism. The proposed PA-CNN is able to capture important linguistic clues for relation extraction effectively. Furthermore, we combine Position-aware CNN and RNN to take the benefits of both CNN and RNN to improve the relation extraction performance. Experiments on TACRED, a complex relation extraction dataset, show that our proposed Position-aware CNN outperforms traditional CNN, and the combinations of CNN and RNN outperform single CNN or RNN models for relation extraction.
A trust verification strategy for autonomous control system in launch site

The control system at the launch site has gradually started providing unattended autonomous control during the flight mission.The autonomous control system is very important to autonomous control for ground facilities and equipment in space launch.Even if the autonomous control system has been tested, there is still no very effective method to ensure the trusted operation of the autonomous system.We propose a strategy for the trusted operation and verification of autonomous control system.Based on the state transition model of the control system, the trust verification of autonomous control system ensures the trusted operation of autonomous control.This verification is set up in the intelligent support system of the host computer, which makes lightweight for verification calculation in the control system.Trust verification strategy is the trusted stamp and the verification protocol.The state transferring of each module inside each controller is stamped by the stamping module embedded in PLC.The control output set includes the state stamps and is sent to the intelligent support system.The control verification module of the intelligent support system verifies the correction of autonomous control.The trusted state transferring is used to ensure the credibility of the autonomous operation.The paper analyzes the strategy's security under environmental impact as well as independent and joint attack.The strategy is applied to a prototype system.It illustrates the feasibility of the strategy at launch site.
What is Open Science?

What is Open Science and why do we need it? And can Open Access publishing deliver the same quality as traditional subscription-based journals do?&#x0D; This episode's guest is Stein Høydalsvik, senior adviser for publishing and research support at the University Library at UIT – The Arctic University in Tromsø, Norway. And in this episode of the podcast, he’ll give us an introduction to the world of open science.&#x0D; This episode was first published 26 September 2018.
Sosialisasi Pemanfaatan Air Hujan dengan Pembuatan Sumur Resapan Untuk Penanggulangi Banjir/Genangan dan Konservasi Air Tanah di SMP Negeri 8 Menteng Jakarta Pusat

In recent years floods and droughts have occurred in various places in Indonesia. Java is one of the islands that often experiences flooding. During the rainy season floods cause several major cities to be submerged. Jakarta was hit several times by severe flooding. Flood events that occurred in 2007 caused approximately 60% of the DKI area to be submerged by a depth of more than 5 meters. PKM Partners is a public junior high school building located in Menteng, Central Jakarta. The Mitra area in the last few years has experienced a flood, it is quite disturbing the teaching and learning process in the Mitra area. The clean water crisis also occurs in the Mitra area, this is due to the location of the Mitra which is quite close to office buildings that have large enough water needs.&#x0D; The average rainfall in Indonesia is 2779 mm per year, in Jakarta around 2500 mm per year, with 180 days / year of rainy days. With a large enough rainfall average is the potential of water resources that can be utilized optimally. With the potential of existing water resources, it is necessary to have efforts to utilize water resources, especially rainwater, one of which is by making water infiltration techniques into the ground in the form of infiltration wells. Through this outreach activity, it is hoped that it can develop public awareness on how to tackle flooding on a small scale, namely at the household level to a wider level, schools, office buildings, etc. by using infiltration well technology in handling floods. and groundwater conservation.
Ability Level of Git Hub Amongst Computer Science Students

Source code management is one of the most vital tools in modern software development. Moreover, the open source initiative requires a method to distribute their code effectively. GitHub is one of the most popular web-based version control systems that offers version control and source code management. Therefore, it is important to introduce GitHub as early as possible to computer science students. Our objective is to observe the use of GitHub as a source code management system. We perform a survey targeted at the students and collected 298 answers. We also perform a short interview amongst the lecturer regarding their familiarity with GitHub and source control management in general. The survey result shows that while GitHub is quite popular amongst the student, the knowledge and experience of using it is considerably low. Similar responses were received from the lecturer that argues that the role of GitHub in classroom is redundant. The details of the result are thoroughly discussed in this paper
Fighting Abuse while Promoting Free Speech: Policies to Reduce Opinion Manipulation in Online Platforms

With the rise of misinformation epidemic, this study aims to empirically investigate the consequences of an online commenting platform's activity-capping policy on abusers' and regular users' activities.Utilizing a quasi-experimental setting, we find that restrictive policies not only curtail the activity of the abusers but also promote the activity of regular users.Results show that the policy has an asymmetric effect on abusers and regular users-while it effectively reduces the actions of the malicious users by 1.8%, it promotes the activities of the regular users by 2.2%.To better understand the behavioral change of the regular users, we draw from the rational economic perspective of voting decisions and provide initial evidence that such policy measures reinforce the subjective probability of being influential on the outcome.This study will provide valuable implications to managers and policymakers to estimate the consequences of and to combat against malicious behaviors and to promote free speech in online platforms.
Analisis Sentimen Data Twitter Tentang Pasangan Capres-Cawapres Pemilu 2019 Dengan Metode Lexicon Based Dan Support Vector Machine

Social media writing content growing make a lot of new words that appear on Twitter in the form of words and abbreviations that appear so that sentiment analysis is increasingly difficult to get high accuracy of textual data on Twitter social media. In this study, the authors conducted research on sentiment analysis of the pairs of candidates for President and Vice President of Indonesia in the 2019 Elections. To obtain higher accuracy results and accommodate the problem of textual data development on Twitter, the authors conducted a combination of methods to conduct the sentiment analysis with unsupervised and supervised methods. namely Lexicon Based. This study used Twitter data in October 2018 using the search keywords with the names of each pair of candidates for President and Vice President of the 2019 Elections totaling 800 datasets. From the study with 800 datasets the best accuracy was obtained with a value of 92.5% with 80% training data composition and 20% testing data with a Precision value in each class between 85.7% - 97.2% and Recall value for each class among 78, 2% - 93.5%. With the Lexicon Based method as a labeling dataset, the process of labeling the Support Vector Machine dataset is no longer done manually but is processed by the Lexicon Based method and the dictionary on the lexicon can be added along with the development of data content on Twitter social media.
Making Prehistoric Lines Speak: Inferring Language and Mental Computations from ‘Natural’ Lines of Parietal Art<sup>1</sup>

Abstract According to many archaeologists and paleoanthropologists, the presence of symbolism in the prehistoric archaeological record indicates complex language. Therefore, archaeological remains have usually been analyzed from the perspective of the behavior (in this case, symbolic) they could be associated with. This paper proposes a very different approach, arising from formal linguistics and mathematical theory of computation: to analyze archaeological remains from the perspective of the computational processes and capabilities required for their production. This approach is not concerned with the ‘semantics’ of the pieces (symbolism, etc.), but with the analysis of purely formal features revealing a language-like computational complexity. I will exemplify this approach through the computational analysis of representations of Upper Palaeolithic parietal art, concentrating on the use of ‘natural’ lines, i.e. lines preexisting in the rocks (cracks, fissures, etc.), which were used as anchorage points for many representations. This use of natural lines will be shown to reveal a high computational complexity.
Creating a Standardized Risk Assessment Framework Library for Healthcare Information Technology

Data breaches are occurring at an unprecedented rate.In February 2019 alone, over a million individuals were reported to the United States government as having been involved in a breach of their medical data by healthcare entities.Although many organizations have some policies, procedures and risk management components in place, few (if any) organizations are centrally connecting legal requirements, penetration tests, policies and procedures into a standardized and consistent methodology for further analysis and auditing.This research produces a new open source risk management standardized library coordinating the aforementioned risk management components.The new library is applied to an open source vulnerable web-application example to emphasize the benefits from the adoption of such a public standardized risk assessment library.
Sweden made a new deal

Sweden has made a new deal with the publisher Elsevier. The previous agreement with Elsevier was terminated in 2018, as the Bibsam Consortium &amp; Elsevier were unable to reach a solution that met both parties' requirements for prices and open access. In this episode, we talk to Wilhelm Widmark, Library Director at Stockholm University, who has also been a part of the negotiation team. He shares his thoughts on the new deal and how Sweden has experienced being without an agreement since 2018.&#x0D; The host of this episode is Erik Lieungh.&#x0D; This episode was first published 3 December 2019.
Empirical Research on Web Harvesting in the Process of Text and Data Mining in National Libraries of EU Member States

Almost two decades of experience on web harvesting and archiving are counted; the subject of web harvesting and web archiving have been top in the interest of researchers, technologists and librarians-information scientists.Web harvesting projects and pilot programs on archiving content traced on the Web are becoming priorities for national libraries and cultural heritage organizations in the EU.This paper pertains to web harvesting as a process for data mining from web and only through web ("pull" function); this paper elaborates upon research implemented in the framework of the funded research project titled "Web Archiving in Public Libraries and IP Law" that focused on the processes of web-harvesting and archiving as well as Text and Data Mining (TDM) operations in the national libraries of EU Member States.Web archiving as an official operation in national libraries of EU Member States creates web collections and preserves them for the purpose of being accessible and usable in perpetuity.This paper pertains to research on various components of web harvesting and archiving through an online survey (qualitative research) which targeted the national libraries of EU Member States.The research team of authors posed seventeen questions to EU national libraries.The survey output comes from answers delivered by 22 national libraries of EU Member States.The questionnaire was created through the use of Google forms.The researchers reached the EU national libraries via email and follow up telephone calls seeking libraries' participation in the research.The aim of the research was to delve on participant libraries' Text and Data Mining operation leveraging on Web harvesting and Web archiving technologies and operations.Results analysis reveals that web harvesting is considered among national libraries' top priorities; the relevant projects increase in
Simultaneous Removal of Prefix and Suffix

This work is an attempt to devise a Stemmer that can remove both prefix and suffix together from a given word in English language. For a given input word, our method considers all possible internal [Formula: see text]-grams for detection of potential stems. We frame a hypothesis where the stem length is closest to the half of the length of the input word. A standard English dictionary has been employed to identify morphologically correct [Formula: see text]-grams in the process. We apply our techniques over a random sample of 100 English words, each possessing both prefix and suffix. We also compare our proposed Stemmer with three standard algorithms from the literature. Empirical results exhibit that our technique performs better than the rest of the stemmers.
Towards an Improvement of Fourier Transform

With the development of information technology and the coming period of large data, the image signals play an increasingly more significant role in our life because of the phenomenal development of system correspondence innovation, and the comparing high proficiency image handling strategies are requested earnestly.The Fourier transform is an important image processing tool, which is used in a wide range of applications, such as image filtering, image analysis, image compression and image reconstruction.It 's the simplest among the other transformation method used in mathematics.The real time consumption is lesser due to this method.It has a vast use in image processing, particularly object 2D, 3D and other representation.This paper proposes a new Fourier transform which is called Non Uniform Fourier Transform (NUFT).The proposed descriptor takes into consideration the change of point index.Also, an application is made on 2D set of points and a real image.The main advantages of the proposed transform are invariance under change of index point and robustness to noise.Also, the extraction of invariant under rotation and affinity is immediate because the linearity is assured.The proposed descriptor is tested on MPEG 7 database and compared with the normal Fourier transform to shows its efficiency.The experimental results prove the effectiveness of the proposed descriptor.
Awareness and Use of E-Resources among students of Punjabi University Patiala: A Case Study

Advancement in computer applications and the Internet during the past few decades brought a great revolution. Nowadays dependency on e-resources available on the Internet is the same or even more than printed resources, ever increasing prices of journals and other expenditures of the library forcing to find new areas of collaboration like e-consortia. Availability of e-resources is generally subscribed through the university but the question arises towards their appropriate and utmost utilization. The present paper examines the awareness and use of existed various e-resources subscribed by Punjabi University Patiala. The study reveals the problems while using e-resources as well as the satisfaction level of the students. The outcome of the study shows that there should be a personal database of the library, Internet connectivity, and speed, adequate infrastructure; more e-resources should be subscribed. The paper also highlights the preferences and importance of e-resources among the UG students, PG students, and research scholars.
Feasibility of evacuating vulnerable people during a tsunami: Comparing assistant velocities with a wheelchair, transport chair, and rollator on three different inclines outdoors

Abstract This study aims to analyze and compare the transportation feasibility of the following three tsunami evacuation support devices that carry vulnerable persons: (A) a rollator, (B) a transport chair, and (C) a wheelchair. Each of these supports was examined for its feasibility during transit along a steep slope, gentle slope, and flat land. The results indicated that the rollator was the most feasible tool, followed by the transport chair and the wheelchair; however, having the assistance of support personnel enabled the victims to flee faster and more effectively. Furthermore, the findings indicate that although wheelchairs are the most effective in evacuating vulnerable persons, all the studied tools can provide assistance.
Smart University Services for Collaborative Learning

Intelligent university systems are based on the profound integration of information technologies into the educational process, which has greatly influenced the techniques and pedagogical tools used to interact with the learner’s educational environments, indeed, the emergence of Smart University (SU) concept enable smart learning process by encompassing a range of smart components, which involve the implementation of an adaptive educational model using informational smart technologies. Through a process of interaction between academics and the organizational structure, it promotes modern methods of collaboration to increase the success and effectiveness of education. The service-oriented paradigm is crucial in ensuring a collaborative learning environment, which boosted by intelligent layers, additional treatment and data-powered. The paper concludes with “smart collaborative learning”, as a relevant concept that adopts smart interactions to promotes modern methods of collaboration between teams of smart learners.
E-Katalog Sebagai Sistem Informasi Pemasaran Kopi Sapit Berbasis Web

This studyaims to develop e-catalog as a web-based marketing information system for Sapit coffee and to determine the feasibility of e-catalog marketing of sapit coffee. This type of research uses the method of R&amp;D (Research and Development). The feasibility trial of the learning media was carried out by 2 media experts and 2 material experts, as well as 20 visitors to the web-based sapit coffee marketing e-catalog. Obtained the percentage of eligibility from media experts by 71% by looking at 3 aspects, namely the appearance of the media, functionality, and visual communication so that it is declared "Eligible". The percentage of eligibility from material experts was 93% by looking at 3 aspects namely content design, content, and communication language so that it was declared "Very Eligible". The results of trials on e-catalog visitors totaling 20 people obtained the percentage of eligibility results of 67% by looking at 4 aspects namely usability, information quality, interaction quality, and user satisfaction so that it was declared "Eligible" to be used as a coffee marketing website.
FirepanIF: High Performance Host-Side Flash Cache Warm-Up Method in Cloud Computing

In cloud computing, a shared storage server, which provides a network-attached storage device, is usually used for centralized data management. However, when multiple virtual machines (VMs) concurrently access the storage server through the network, the performance of each VM may decrease due to limited bandwidth. To address this issue, a flash-based storage device such as a solid state drive (SSD) is often employed as a cache in the host server. This host-side flash cache saves remote data, which are frequently accessed by the VM, locally in the cache. However, frequent VM migration in the data center can weaken the effectiveness of a host-side flash cache as the migrated VM needs to warm up its flash cache again on the destination machine. This study proposes Cachemior, Firepan, and FirepanIF for rapid flash-cache migration in cloud computing. Cachemior warms up the flash cache with a data preloading approach using the shared storage server after VM migration. However, it does not achieve a satisfactory level of performance. Firepan and FirepanIF use the source node’s flash cache as the data source for flash cache warm-up. They can migrate the flash-cache more quickly than conventional methods as they can avoid storage and network congestion on the shared storage server. Firepan incurs downtime of the VM during flash cache migration for data consistency. FirepanIF minimizes the VM downtime with the invalidation filter, which traces the I/O activity of the migrated VM during flash cache migration in order to invalidate inconsistent cache blocks. We implement and evaluate the three flash cache migration techniques in a realistic virtualized environment. FirepanIF demonstrates that it can improve the performance of the I/O workload by up to 21.87% compared to conventional methods.
The Potential of RAFT Strategy for Improving Jordanian EFL Students' Creative Writing

&lt;p class="body-paragraph"&gt;This study examines the potential effect of RAFT strategy on Jordanian EFL Eleventh-grade students' creative writing. A sample of Eleventh-grade students was purposefully selected from a secondary school in Irbid. The experimental group (n=25) was taught using a RAFT strategy whereas the control group (n= 25) was taught conventionally based on Teacher Book of Action Pack 11. For data collection, a creative writing pre/post- test was used. The findings reveal statistically significant differences in students’ means scores in the creative writing post test, in favor of the experimental group which may be attributed to RAFT strategy.&lt;/p&gt;
An Alternative Design of Dekoruma as a Home and Living e-Commerce Platform

Dekoruma is an Indonesia-based home and living e-Commerce with an urgency to improve the quality of service and shopping experience for its customers. This study is conducted to evaluate usability aspects of Dekoruma’s current e-Commerce site and propose an alternative design to improve the usability. The methods used for data collection and analysis in this study are the mixed method approach, and the alternative design development is conducted using the User-Centered Design (UCD) approach. The quantitative data are collected through online questionnaires addressing users’ demographic data and behavior in using Dekoruma website and System Usability Scale. Usability testing is conducted to collect qualitative data directly from end-users. Identified usability problems are mapped to relate interface design principles. Proposed solutions are built into a high fidelity prototype as the end result. The usability testing of the alternative design shows that most of the proposed solutions are able to solve usability problems encountered beforehand. Further improvement is still needed on product filter and product detail features.