Reviewerly/exHarmony huggingface dataset:
DLPFS: The Data Leakage Prevention FileSystem

Shared folders are still a common practice for granting third parties access to data files, regardless of the advances in data sharing technologies. Services like Google Drive, Dropbox, Box, and others, provide infrastructures and interfaces to manage file sharing. The human factor is the weakest link and data leaks caused by human error are regrettable common news. This takes place as both mishandled data, for example stored to the wrong directory, or via misconfigured or failing applications dumping data incorrectly. We present Data Leakage Prevention FileSystem (DLPFS), a first attempt to systematically protect against data leakage caused by misconfigured applications or human error. This filesystem interface provides a privacy protection layer on top of the POSIX filesystem interface, allowing for seamless integration with existing infrastructures and applications, simply augmenting existing security controls. At the same time, DLPFS allows data administrators to protect files shared within an organisation by preventing unauthorised parties to access potentially sensitive content. DLPFS achieves this by transparently integrating with existing access control mechanisms. We evaluate the impact of DLPFS on system’s performances to demonstrate the feasibility of the proposed solution.
Power- and Area-Efficient FIR Filter for Denoising of Electrooculogram Signal

In this article, we propose a modified FIR filter usage of common sub expression (CSE) with canonical signed digit (CSD) representation approach for denoising the electrooculogram (EOG) signal. The proposed architecture outcomes are compared with currently posted works. The proposed and existing architectures are carried out for the usage of gate-level Verilog HDL and synthesized the usage of Cadence RTL compiler. The proposed filter architecture in ASIC implementation offers 114.45% increment in power, 148.17% increment in area, and 151.99% increment in power delay product (PDP) as compared to the conventional filter. The proposed architecture also achieves best results as compared with recently published methods. The Xilinx System Generator FPGA environment for real-time EOG signal is used to test the overall performance of the filter architectures.
Enhancing Security and Privacy in Local Area Network (LAN) with TORVPN Using Raspberry Pi as Access Point: A Design and Implementation

Network security is designed to protect the integrity, confidentiality and accessibility of computer networks and data using both software and hardware technologies. Every person, including organization requires a degree of network security solutions in place to protect it from the ever-growing landscape of cyber threats in the wild today. This paper aims to design and implement TorVPN as an access point using Raspberry Pi in enhancing security and privacy in Local Area Network (LAN). This access point was implemented by using the combination of The Onion Router (Tor) and Virtual Private Network (VPN) services. Then, the graphical user interface application was developed to assist and facilitate the user to access the network securely without having the difficulties to configure and install any software. To determine the effectiveness of the proposed work, there were two experiments involved in this study. Firstly, the confidentiality test which to verify its privacy in keeping the information securely. Secondly, the performance test of the Internet connectivity in terms of ping, download and upload speed. The encourage results was expected as the confidentiality tested on the TorVPN access point network has shown the positive outcome by securing client’s Internet data packet. While, the Internet connectivity is not stable enough, when the client’s IP address changed in the network. Hence, the combination VPN and Tor service using Raspberry Pi as an access point inside the LAN is suitable and secure the information in the network, but do not suggest for user who wants a good Internet connectivity.
PREDIKSI PRODUKTIVITAS JAGUNG MELALUI DATA TEMPERATUR DAN CURAH HUJAN RATA-RATA MENGGUNAKAN JARINGAN SARAF TIRUAN

Agriculture is a field with many uncertainties. One of the source of those uncertainties are temperature and precipitation which could vary across season and year. Previous research by Matsumura et al. (2015) have attempted to build a model that could predict yield through precipitation. This research attempts to build a model that could predict maize yield before harvesting month with Adam and SGD as optimizers. The implementation made use of precipitation and temperature data to produce a forecasted yield of the harvest. The best model produced RMSE error of 2.100530353.Agriculture is a field with many uncertainties. One of the source of those uncertainties are temperature and precipitation which could vary across season and year. Previous research by Matsumura et al. (2015) have attempted to build a model that could predict yield through precipitation. This research attempts to build a model that could predict maize yield before harvesting month with Adam and SGD as optimizers. The implementation made use of precipitation and temperature data to produce a forecasted yield of the harvest. The best model produced RMSE error of 2.100530353.
An Evaluation of the Evacuation time of Workers Following an Ammonia Leakage in One Seafood Industry, Songkhla Province

Abstract This research was aimed to evaluate ammonia leakage and to calculate the evacuation time of employees in case of an ammonia leakage. The simulation of ammonia release in case of valve failure, located at liquid ammonia line from storage tank to process equipment, was investigated using ALOHA software. Escape routes, fire exits, assembly points which had been previously set by the company, were the places taken into consideration. A comparison of the worst scenarios using theoretical and realistic conditions (wind direction, wind speed, atmospheric stability, etc.) was made. After that, results which come out from ALOHA considered the proper evacuation route to calculate evacuation time leading to an establish suitable emergency response plan, preventions and mitigations. The results of the study revealed that the longest distance of hazard area for ammonia leakage and explosion was 5.5 kilometers. In addition, the affected areas were chilling system engineering section, electrical engineering section, energy engineering section, goods safety section, section, wastewater treatment pond and assembly point 1. The escape route 1 showed that the energy engineering section faced the longest evacuation time from workplace to assembly point which was 7.18 minutes. The evacuation time was longer than that which the safety law has established (within 5 minutes). After improvement, the escape route 2 revealed that the employees were safer if they took this route. On the other hand, they increased evacuation time as well. Therefore, the company should provide escape routes adequately, emergency response plan properly and emergency drill continuously. Furthermore, the assembly points and escape routes have to be considered in terms of the impacted areas of ammonia leakage and explosion that showed the following scenarios. Keywords: Evacuation times, Ammonia, Leakage
LibGuides: Security Tools: Encryption and Security Certificates: Security Certificates

First in a series on security tools, this guide discusses encryption, security certificates, and Public Key Infrastructure
Learned Provability Likelihood for Tactical Search

We present a method to estimate the provability of a mathematical formula.We adapt the tactical theorem prover TacticToe to factor in these estimations.Experiments over the HOL4 library show an increase in the number of theorems re-proven by TacticToe thanks to this additional guidance.This amelioration in performance together with concurrent updates to the TacticToe framework lead to an improved user experience.
A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs

Recommendation methods fall into three major categories, content based filtering, collaborative filtering and deep learning based. Information about products and the preferences of earlier users are used in an unsupervised manner to create models which help make personalized recommendations to a specific new user. The more information we provide to these methods, the more likely it is that they yield better recommendations. Deep learning based methods are relatively recent, and are generally more robust to noise and missing information. This is because deep learning models can be trained even when some of the information records have partial information. Knowledge graphs represent the current trend in recording information in the form of relations between entities, and can provide any available information about products and users. This information is used to train the recommendation model. In this work, we present a new generic recommender systems framework, that integrates knowledge graphs into the recommendation pipeline. We describe its design and implementation, and then show through experiments, how such a framework can be specialized, taking the domain of movies as an example, and the resulting improvements in recommendations made possible by using all the information obtained using knowledge graphs. Our framework, to be made publicly available, supports different knowledge graph representation formats, and facilitates format conversion, merging and information extraction needed for training recommendation models.
Construction of Synaptic Neural Network for Genetic Interaction Analysis

Contribution by a single gene to the association with trait may be either independent or through interactions with other genes. Examining all available genes for the main effect should be carried out without the time constraint. However the number of possible interacting combinations would soon become formidably large with the growing number of genes. Therefore it is often coerced to identify a group of candidate genes for the interaction and investigate only within it. Such an identification process should be able to select the group of genes having possibilities to interact with each other. Main effect of each gene should not necessarily be the criterion for the selection. We devised a neural network process that was quite sensitive to the interaction of a particular gene to the remaining ones. Contribution of each gene to the association by the genes as a whole was estimated. Selection was made based on the statistical significance for the existence of such contribution. It was demonstrated that this process might perform reliable candidate gene selection for the interaction even when the selected genes did not show significant main effect, through single scan of each individual gene.
Designing an Online Shopping Portal

Internship knowledge is a practical knowledge and it develop so much experience for that I wasdid the internship. In internship have to gain many important knowledge. I am a student ofDaffodil International University, in last year this varsity give students a great opportunity to doingan internship within their bachelor program. I joined a software company name ZafiDigital as anintern as a website designer. From this company I was gained knowledge about html, CSS,Bootstrap, and JavaScript, which is very important for designing a website. And I was also learnedmany kinds of important things that how to deal with clients, do work on time, how to work inteam and good knowledge about real life project. After that they designed an E-commerce basedwebsite which name is “BD SMART FASHION”, from where people can choose and buy theirproduct easily. And I was designed that website using html-5, CSS, Bootstrap. In this internship Iwas learned lot of important things which is I hope help me in future.
Mr Kurk Kloska in the joinery shop in Research School of Earth Sciences

Research School of Earth Sciences - Dr. Ian MacDougall, Wang Sung Shan, Dr. Bill Compston, Chung Fu Tao, Dr. S. W. J. Clements, W. Sinclair, A. E. Ringwood, Prof. Lew Gustafson, Leigh Schmidt, Dr. John Cleary, Dr. Jack Ryan, Dr. I. D. Ryabchikov, Dr. David Green, Mr. Bill Hibberson, Dr. Mike McElhinny, Mr. Charles Barton, Mr. Kurt Kloska, Mr. Dieter Burmann, Prof. Hales & others
AN ANALYSIS OF CULTURAL CONTENTS OF AN ENGLISH TEXTBOOK FOR ELEMENTARY SCHOOL

This paper reports on the study that analyzed the cultural contents represented in an English textbook for elementary school. The data were collected from the English textbook for elementary school entitled Grow with English for third grade published by Penerbit Erlangga. The study used two major frameworks: (1) types of culture; the source culture, the target culture, and the international culture proposed by Cortazzi & Jin (1999), and (2) the four senses of culture; the aesthetic sense, the sociological sense, and semantic sense, and the pragmatic sense proposed by Adaskou, Britten & Fahsi (1990). This research was descriptive qualitative study focusing on the content analysis. The research findings indicated that the source culture is predominantly embodied in the textbook. This is considered as the purpose of the authors to include diverse local contexts since the textbook was written by local authors and produced by a local publisher. In terms of sense of culture, the sociological sense is mainly represented in the textbook compared to another sense. This is because the aspects of the sociological sense are categorized as the ways of life. Integrating the types of cultures and the four senses of culture, the findings were significantly dissimilar. The source culture is mostly represented through the sociological sense because most of the themes of the lessons related to the ways of source culture life. Then the target culture is mostly represented by the pragmatic sense since all language forms and functions are in the English language. Finally, except the pragmatic sense, the international culture is represented by the same average of the aesthetic sense, the sociological sense, and the semantic sense.
Doubly ionized lanthanum as a qubit candidate for quantum networks

We propose doubly ionized lanthanum (${\mathrm{La}}^{2+}$) as a possible qubit candidate for quantum networks. Transitions between the lowest levels in the atom are in the infrared, enabling a direct matter-light interface amenable to long-distance quantum communication. These transitions could also be used to directly laser-cool trapped ${\mathrm{La}}^{2+}$ ions. The rich hyperfine structure of the ion may allow for a qubit stored in magnetic-field insensitive states as well as protocols for atom-photon entanglement.
PEDAGOGICAL CONDITIONS FOR THE EFFECTIVENESS OF PROBLEM-BASED LEARNING IN PRIMARY SCHOOL

The article substantiates the relevance of the effectiveness of problem-based learning in primary school. The paper reveals the structure of the activities of teachers and students in the context of problem-based learning. The author presents the essence of the problem situation and the methodological features of its implementation in primary school as the main component of problem-based learning. The paper presents a set of teaching methods that are effective in organizing problem-based learning in primary school. As effective methods of problem-based learning, the author reveals the essence of the methods of monological, reasoning and dialogical presentation, heuristic method, method of research tasks, modeling, and project method. The paper presents the essence of problem dialogue and simulation-game problems as effective ways to organize problem-based learning in primary school. The author presents a set of pedagogical conditions that contribute to the effectiveness of problem-based learning in primary school, such as taking into account the cognitive needs and cognitive abilities of younger students, including a system of problem situations in the educational process, using problem dialogue and imitation-game problems in the educational process.
The Development of English Communication Skills for Staff Working in Tourist Industry in Khon Kaen Province: A Pioneering-Case Study at Khok Sa Nga Village and Chang Kra Temple

This research project has been conducted as an extension of a previous study by Piriyasilpa Y. (2014). It proposed the contents for the short-training course of English for staff members whose work is related to the tourist industry. In this study, the training contents were prepared with the aim to improve the participants’ English communication skills. The pioneering areas included Khok Sa Nga village, Nampong district and Chang Kra temple, Muncha Kiri district. In total, there were sixty participants, thirty from each of the two districts involved. The results showed that all of the participants had a high satisfaction toward the training, and that all of them have improved their post-test marks. Moreover,some of the participants have made comments regarding the facilities and travels. These comments will be useful and taken into account when extending the project to wider community areas. Based on the findings, it could be concluded that this short-training course for English communication skills is useful and beneficial to the participants, and that the pattern of training as well as contents can be useful for the construction of other short-training courses in different communities.
Perancangan Teknologi Sistem Monitoring Server Menggunakan Prometheus Dan Grafana Di Pt. Remala Abadi

PT. Tachyon is under the PT. Remala Abadi are a company that moves on telecommunication especially on PT. Tachyon focused on the services ISP (Internet Service Provider). The increase number of customers affect the increase of service required by customers especially the network services infrastructure equipment, supply of network configuration services, services of monitoring, and some other services that are in the network and sysadmin. Some of these things are the main focus of the service the PT. Tachyon.In the field report, the author did a research solve the problem in monitoring the client device at the PT. Tachyon by doing research and testing using virtual devices so when applied to monitor the clients have been pronounced perfectly as planned. Monitoring activity is performed covering the various CPU-consuming, RAM, Storage and other information with the metric data collection of the Devices that want to do monitoring. This research server is expected to bring a new concept to solve the problem at PT. Tachyon, this research uses all open sources there are grafana to visualize data and Prometheus as a data source. The use of exporter nodes as an agent in collecting information. The reason uses open sources to press the cost of license products and ease in the process of research so it can be developed by research and development teams. Tachyon.Keyword : Prometheus, Grafana, Node Exporter, Monitoring.
Determination of polarization states of light using the weak measurement with two pointers

Measuring the polarization state of light has become a challenging study owing to its requirement to simultaneously extract the phase and amplitude parameters with high precision. Here, we present a weak measurement (WM) scheme with two pointers to determine a general polarization state. For the output spectrum from the WM regime, one pointer with the light frequency is used to measure the phase parameter while the other with the post-selected probability is to measure the amplitude. The optimized regime permits the simultaneous measurements of two parameters since the shift results of both two pointers are read in the same working regions. The simulated results show high sensitivity for both two parameters, and high precision that can be comparable with that by other existing schemes. Our scheme can be applied to measure other complex physical effects, providing a method for future ultra-sensitive sensing and metrology.
Origins of the Kiki-Bouba effect

INTRODUCTION. Why do people associate spiky shapes to the word “Kiki” and rounded shapes to the word “Bouba”? One hypothesis suggests that our mouths form angular shapes while saying “Kiki” and rounded shapes while saying “Bouba”. Alternatively, sharp objects produce high-pitched (“Kiki”-like) sounds while rounded objects produce low-pitched (“Bouba”-like) sounds when struck. We investigated these hypotheses using behavioural and computational experiments. METHODS. Ten spiky and ten rounded shapes were created. In Experiments 1 & 2, subjects had to associate each shape to a Kiki-like or Bouba-like word. In Experiment 3 & 4, audio clips were played. Subjects had to associate them with spiky or rounded shapes. The audio clips included pronounceable Kiki-Bouba words; their digitally-reversed counterparts; pure tones with mean frequencies matched to the Kiki-Bouba words and sounds generated when objects were struck. RESULTS. In Experiments 1 & 2, 80% subjects associated spiky and rounded shapes with Kiki-like and Bouba-like words respectively. In Experiments 3 & 4, subjects showed the Kiki-Bouba effect for pronounceable words, reversed words, natural sounds and pure tones. The sound’s mean frequency was positively correlated with the fraction of times it was classified as Kiki-like. To assess whether these associations can be learnt, we took neural networks trained for object recognition (VGG-16) and asked if we could predict the sound spectrum from the object shape on a database containing natural objects and their associated sounds (34 natural objects, 7 materials, falling on 5 surfaces). After training this model, we queried it for the predicted sound spectra for Kiki-like and Bouba-like shapes. The mean frequency of the predicted spectra was strongly correlated with the Kiki-ness of these shapes (r= 0.8664, p = 7.87e-07). CONCLUSIONS. We conclude that the Kiki-Bouba effect is a consequence of natural associations that can be learnt between objects and their associated sounds.
LibGuides: Library Policies and Procedures: Reconsideration of Library Materials

Contents of the Elizabethtown Community and Technical College Library Polices and Procedures Manual, published December 2017, revised August 2019
PENGARUH MOTIVASI DAN METODE PEMBELAJARAN TERHADAP KELULUSAN UJI SERTIFIKASI KEAHLIAN DASAR AKUNTANSI (Pada Mahasiswa Universitas Pembangunan Nasional Veteran Jakarta Tahun 2015-2016)

The research was conducted aimed to determine the effect of motivation and learning methods on the graduation level of the Basic Accounting Skills Certification Test (USKAD). In this study motivation is measured by variables of, achievement motivation, career motivation, quality motivation and learning motivation. The population in this study is UPNVJ S1 Accounting students with sampling using a purposive sampling method, in students who have participated in USKAD with 80 respondents. Data were collected using a questionnaire and processed using SPSS 25. The results of this study indicate that achievement motivation, career motivation, quality motivation and learning motivation do not have a significant effect on USKAD graduation rates. The learning method significantly influences the level of USKAD graduation.