Reviewerly/exHarmony huggingface dataset:
A Reliable and Progressive Regulatory Approach towards the Free Flow of Health Information for the Precision Medicine: A Lesson from the Lex Mercatoria

The enormous expansion and development that have been taken place in the global trade and commerce, has become possible only because of the recognition of the mercantile instruments that ensure the free and autonomous flow of currency in the market. The mercantile instruments have changed the landscape of the globe and touched every sphere of human life. In the 21st century, the precision medicine holds an exponential promise to bring similar impact with unprecedented benefit in the global and universal health sector. However, the advancement in the precision medicine is largely subject to the recognition of an instrument/system/tool that will be equally significant that of the mercantile instruments. As the system/arrangement of free flow of currency is inevitable to the trade and commerce, a system/arrangement of Free and Independent Flow of ‘Information’ (FIFI) or Free and Autonomous Flow of ‘Information’ (FAFI) is inevitable for the development of the precision medicine. The article demonstrates that following the footsteps of the commercial world, the precision medicine sector can be allowed to adopt the FAFI or FIFI. Admittedly, the commercial field has the privilege of being facilitated by the game theory, the field of precision medicine, by default, does not have the scope of adopting the game theory approach that can protect the interests of the stakeholders (i.e. patients, data subjects, etc.). The article submits that the material human body centered approach can diminish the gap. The body-centric approach can establish a secure and reliable field where the FAFI or FIFI can be readily adopted facilitating the interests of all concerned.
Weight Optimization of Truss Structures by the Biogeography-Based Optimization Algorithms

The fundamental concepts of biogeography-based optimization (BBO), a meta-heuristic algorithm, have been inspired by the geographical distribution of animals. This algorithm does not need a starting point, and performs a random search instead of a gradient-based search. In this article, for the first time, the weights of 2D and 3D trusses with specific geometries and different stress and displacement constraints have been optimized by using the BBO approach. Also, in this work, the numerical results achieved by other researchers through various optimization techniques have been compared with the results obtained from the Particle Swarm Optimization (PSO), Differential Evolution (DE) and BBO algorithms. It has been demonstrated that the search and exploration capability of the BBO algorithm is superior to that of the DE and PSO algorithms, and that it achieves better results than the other optimization techniques considered in this paper. This superiority is due to the excellent exploration capability of the BBO algorithm and the fact that it achieves a favorable optimal solution in the initial iteration.
Development of a Web-based System for Matching Losers and Finders of Personal Items

A considerable amount of time is wasted in the process of searching for a missing item and consequently, human schedules are disrupted. This study aimed to design and implement a web-based system for matching losers and finders of personal items using the waterfall model. The modelling language employed in this work was Unified Modeling Language (UML). The server-side was built using the Node.js JavaScript framework to provide backend logic to process information from the client-side and MongoDB database. The client-side was made using Hypertext Markup Language (HTML), cascading style sheet (CSS) and JavaScript. The system was evaluated using alpha and beta testing by module testing and getting feedback from users based on some predefined criteria. The developed system was able to match lost items with efficiency and functionality of 80% and 77%, respectively.
Minecraft Games and Public Participation in Landscape Design - Current Teaching Experience

The Covid-19 pandemic has resulted in a shift to on-line teaching and enforced adjustments to academic curricula all over the world. It has also affected the teaching of participative landscape design within landscape architecture studies in the Faculty of Architecture at Cracow University of Technology (FA-CUT), Krakow, Poland. In this article, the authors summarise experiences from the Social Communication subject during the 4th and 5th semester of landscape architecture directly linked to integrated design studio. A number of methods facilitating public participation were tested and included on-line questionnaires, social media profiles, on-line focus group interviews and elements of gaming on a special Minecraft server. Results indicate that although on-line participation may be fruitful, it requires considerable efforts in terms of time and workload. Therefore, despite the promising results, on-line participation requires as much careful planning and time management as traditional social research methods. Nonetheless, the on-line tools have proven to be particularly useful and appropriate in times of social distancing in the pandemic. © 2021 WIETE
Angry by design: toxic communication and technical architectures

Hate speech and toxic communication online is on the rise. Responses to this issue tend to offer technical (automated) or non-technical (human content moderation) solutions, or see hate speech as a natural product of hateful people. In contrast, this article begins by recognizing platforms as designed environments that support particular practices while discouraging others. In what ways might these design architectures be contributing to polarizing, impulsive, or antagonistic behaviors? Two platforms are examined: Facebook and YouTube. Based on engagement, Facebook’s Feed drives views but also privileges incendiary content, setting up a stimulus–response loop that promotes outrage expression. YouTube’s recommendation system is a key interface for content consumption, yet this same design has been criticized for leading users towards more extreme content. Across both platforms, design is central and influential, proving to be a productive lens for understanding toxic communication.
Implementation of a cryptography algorithm for secured image transmission

In this work, we will present an RSA algorithm designed for encryption and remote transmission of medical images with data security transfer. This interface is implemented using the MATLAB environment. The implementation of the image cryptography system uses the RSA algorithm with a 64 bit private key length. The transfer of images in a secure way for medical diagnosis is insured by generating a watermarked key to encrypt the original image. Besides that, we introduced a comparison study between the obtained performances and those computed with other algorithms such as AES, DES and IDEA.
Anomaly Detection using Similarity Approach on Airline Data

Anomaly detection is to identify abnormal items, events or observations from the majority of the data. We applied similarity approaches to identify the abnormal observations from the Airline Data on chargeable weight. Chargeable weight is what the airline uses to determine the cost of the shipment. It may be either volumetric weight or gross weight, whichever is greater. Similarity approaches are applied to identify the abnormal observations on chargeable weight and evaluated the systems with the airline data. The precision, recall and F-measure values of the best system are 41.12%, 54.91% and 47.02% respectively.
THE IMPACT AND CHALLENGES OF INFORMATION AND COMMUNICATION TECHNOLOGY ON HEALTH CARE DELIVERY IN NIGERIA

The accessibility and utilization of e-healthcare services in Nigeria is very low thus, the need to improveon the application Information Communication Technology (ICT) in healthcare delivery in Nigerian hospitals is very essential. E-health is the application of information communication technology in health care management. ICT application in health sector will promote healthcare services support, improve monitoring of patients’ conditions, improve adequate storage of patients’ records, time saving, increase resources and aid referral system, ensure reduction in medical error and so on. However, most of the Nigerian hospitals still operate on paper-based healthcare delivery system despite the challenges of meeting increasingly demands of citizens who are in need of medical attention due to the large population. Many factors contribute to the poor state of ICT in medical sector of Nigeria, such as epileptic power supply, Illiteracy, high cost of ICTs equipment, lack of clear-cut law and policy, lack of expertise, corruption and so on. This paper adopts a doctrinal method of research which involves the use of primary and secondary sources of materials such as statutes, online publications, text books, articles, online dissertation and so on. However, this work concludes that the dream of ICT drive in health sector will be realizable in Nigeria if the present and subsequentgovernment can reduce corruption, improve national infrastructures, especially in the areas of e- health technology and electricity.
Improving Knowledge, Attitude, and Perception towards Childhood Diarrhea Using Interactive Discussion in Kulon Progo Community

Introduction: Diarrhea is still a leading cause of death in the world in children, especially in children under 5 years. Diarrhea is a contagious disease with relatively high morbidity and mortality rates. Rotavirus is a cause of diarrhea in children and is a very important public health problem in both developed and developing countries. Parents' knowledge is one of the causes of diarrhea due to parents' ignorance of the causes of diarrhea, how diarrhea is transmitted and how to prevent diarrhea.Methods: This explanatory mixed qantitative-qualitative method with a quasi experimental design study to determine the effect of interactive discussion on changes in knowledge, attitudes, and perceptions towards the prevention and management of childhood diarrhea among mothers and children living in the area of The Ash-Shiddiqiyah Orphanage located in Central Sremo, Hargowilis, Kokap, Kulon Progo Regency, Yogyakarta.Results: The activities were conducted on November 29th, 2020 with 67 participants consisting of 54 children and 13 mothers from the area. The questionnaire results showed that the posttest scores in all sections (knowledge, attitudes, and perceptions) were significantly higher compared to the the pretest scores. There were increment of 1.33 points in knowledge (p&lt;0.001), 0.5 points in attitudes (p&lt;0.001), 0.4 points in perception (p&lt;0.05), and 0.76 points in overall scores (p&lt;0.001). Interviewees agreed that the intervention has been properly conducted with clear delivery, easy to understand for both adults and children, and ability to two-way communication. Technology utilization might help the understanding of the audience. Besides, a small group discussion in the session may benefit the participants to ask more confidently compared to asking in the middle of large group due to shame.Conclusion: Interactive discussion could be used to improve knowledge, atittude and perception towards childhood diarrhea. The delivery of interactive discussion using simple language for targetted population, adoption of small group discussion and technology utilization might help the effectiveness of the intervention. Further study is needed to identify effective ways to promote the childhood diarrhea management and prevention in community.
Analysis of segmentation techniques using morphological operators on brain images

Image segmentation is an important step in medical image diagnosis system. There are various segmentation methods to partition an image into different subregions on the basis of edge detection, area based or clustering based methods. This paper provides a thorough analysis of different segmentation techniques with morphological operators for brain tumor detection. The different segmentation techniques are k-mean, Entropy filtering, area-based segmentation. After segmenting the image, morphological operators are used to mask the segments. Manual segmentation is used to construct the gold standard for comparing the segmented image. Comparison is performed using performance parameters such as F1 score, Sensitivity, Specificity, Loss Function, precision and Jaccard Coefficient. The elapsed time is also been observed for the segmentation process. The experimental results show that combining segmentation techniques with morphological operation of erosion gives an improved performance over dilation.
Approximate Midpoint Policy Iteration for Linear Quadratic Control

We present a midpoint policy iteration algorithm to solve linear quadratic optimal control problems in both model-based and model-free settings. The algorithm is a variation of Newton's method, and we show that in the model-based setting it achieves cubic convergence, which is superior to standard policy iteration and policy gradient algorithms that achieve quadratic and linear convergence, respectively. We also demonstrate that the algorithm can be approximately implemented without knowledge of the dynamics model by using least-squares estimates of the state-action value function from trajectory data, from which policy improvements can be obtained. With sufficient trajectory data, the policy iterates converge cubically to approximately optimal policies, and this occurs with the same available sample budget as the approximate standard policy iteration. Numerical experiments demonstrate effectiveness of the proposed algorithms.
Duality in Intuitionistic Propositional Logic.

It is known that provability in propositional intuitionistic logic is Pspace-complete. As Pspace is closed under complements, there must exist a Logspace-reduction from refutability to provability. Here we describe a direct translation: given a formula φ, we define φ so that φ is provable if and only if φ is not.
Exploration of Online and Offline Mixed Teaching Mode

With the advent of the Internet+ era, the online and offline mixed education mode is applied and plays an irreplaceable role in higher education. It is conducive to stimulating students' interest and enthusiasm in learning and cultivating students' autonomous learning ability. While imparting knowledge and skills, it is also conducive to cultivating students' creative thinking ability and improving teaching effectiveness. This paper focuses on the online and offline mixed teaching mode related issues.
Product Recommender System Using Collaborative Filtering Technique

There is a rapid increase of data on internet, to enhance the search result as required and give the better results based on their personalization, we introduce Item Of Interest (IOI). Recommender System (RS) is an engine used to predict the future interest of set of items for user and suggest top N items. New methods in Recommender System are required to evolve change in finding the Item Of Interest (IOI) and reduce data sparsity problem. Recommender Systems are used in many streams such as product sales, recommending websites, books, movies, etc. The three types of RS are Collaborative Filtering (CF), Content based Filtering (CBF), and Hybrid Filtering (HF). In this work we are experimenting Item Based Collaborative Filtering. Item Based Collaborative Filtering is a technique where we acquire information from item and process them to predict the item of interest (IOI). We used three clustering technique to form clusters among products. Amazon dataset is used to experiment our work. Finally, we evaluated the experimental result using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE).
PARTICULAR WAYS OF TEACHING WRITING IN PRIMARY SCHOOL

This article teaches how implement strategies in writing process in primary school. Humans are living in an age that all of them try to absorb the opportunities which are presented naturally. Innate abilities are considered to be the most important parts of nature. In this case, namely educational process skills are also included in these kinds of gifts. However, people should use them in a right way in a regular basis. When it comes to writing, many students, especially elementary level, come across obstacles in this process.
Mobile robot path planning compares wavefront and A* algorithms

Abstract In This study, the A * algorithm and wavefront algorithm are adopted to simulate the motion of the robots using Matlab. And a complex Maze with different complexity is created to compare the time and path that taken by the robot using the A * algorithm and wavefront algorithm. Before testing, we have determined the types of wavefront algorithms. The wavefront algorithms are divided into 4-Sector Connectivity and 8-Sector Connectivity. After summarizing and comparing the previous research results, we decide to use the 8-Sector Connectivity wavefront algorithm and the A* algorithm for testing. After that, the maze (environment) is established by Matlab simulations, and the corresponding algorithm, A* algorithm and wavefront (8-Sector Connectivity) algorithm are assigned to the robot. Finally, the robot moving to the specified position in the maze is tested. We use the built-in function in Matlab to record the time and distance of the robot moving to the specified position in the maze. The data are collected and analysis to compare the A * algorithm and wavefront algorithm. The results show that the A* algorithms achieve better results in a simpler environment, that is, it takes less time to get the goal in the maze. The wavefront algorithm has better performance in some complex environments. In general, we think the A* algorithm better than the wavefront algorithm.
ANTI Hong-Ou-Mandel Interference on a Lossy Beamsplitter

We experimentally demonstrate for the first time that, in contrast to classical Hong-Ou-Mandel experiment performed with a dissipation-free beamsplitter, pairs of photons with fermionic spatial wavefunction ‘coalesce’ while bosonic pairs anti-coalesce on a lossy beamsplitter.
Long and short-term Impacts of Regulation in the Cryptocurrency Market

Since cryptocurrencies were first created, the related markets have been known for their fluctuations, whether in terms of high volatility or illiquidity. Partially for those reasons, public authorities and regulators around the world have frequently attempted to regulate those markets. We aim in our study to examine whether cryptocurrency traders perceive market regulation in a beneficial way. Using an event study methodology for daily data covering the 2015–2019 period, we assess how regulatory news and events have affected returns in cryptocurrency markets. We further assess whether financial cryptocurrency characteristics and in particular their liquidity can explain cross-sectional variations in cryptocurrency return reactions. The results suggest that events that increase the probability of regulation adoption are associated with negative abnormal returns for the cryptocurrencies concerned. We also find that the magnitude of the return reactions is not the same across all the cryptocurrencies in our sample. We show that investors reacted less negatively for the most illiquid cryptocurrencies and for those that incurred more information asymmetry risk. Finally, we analyze a longer-term effect of regulatory events by studying the performance of cryptocurrencies. The risk-adjusted return in the pre-event period is positive and significant, but it appears not to be significantly different from zero in the post-event period.
ANALISIS SISTEM PENGENDALIAN INTERN ATAS PERSEDIAAN BARANG DAGANGAN PADA PT.PERUSAHAAN PERDAGANGAN INDONESIA

PT. Indonesian Trading Company is a company engaged in the distribution of building materials, fertilizers, pharmaceuticals, and basic necessities to meet the needs of the community. This study uses descriptive qualitative research methods, namely analyzing and describing the application of management control systems to reports on inventory management at PT. Indonesian Trading Company Palembang Branch. The results of the research seen at PT. Indonesian Trading Company is quite effective because the company uses perpetual recording, making it easier for leaders to obtain inventory records in the warehouse. The existence of a clear and structured structure at PT. The Indonesian Trading Company will make the division and implementation of the duties of each section and each work function will minimize data errors on the inventory of goods. Keywords: Distributor of staples, Management Control System, Inventory Management
Inferring significant wave height from seismic data: A comparison between methods.

&amp;lt;p&amp;gt;The most pervasive seismic signal recorded on our planet &amp;amp;#8211; microseismic ambient noise -results from the coupling of energy between atmosphere, oceans and solid Earth. Because it carries information on ocean waves (source), the microseismic wavefield can be advantageously used to image ocean storms. This imaging is of interest both to climate studies &amp;amp;#8211; by extending the record of oceanic activity back into the early instrumental seismic record &amp;amp;#8211; and to real-time monitoring &amp;amp;#8211; where real-time seismic data can potentially be used to complement the spatially dense but temporally sparse satellite meteorological data.&amp;lt;br&amp;gt;In our work, we develop empirical transfer functions between seismic observations and ocean activity observations, in particular, significant wave height. We employ three different approaches: 1) The approach of Ferretti et al (2013), who compute a seismic significant wave height and invert only for the empirical conversion parameters between oceanic and seismic significant wave heights; 2) The classical approach of Bromirski et al (1999), who computed an empirical transfer function between ground-motion recorded at a coastal seismic station and significant wave height measured at a nearby ocean buoy; and 3) A novel recurrent neural-network (RNN) approach to infer significant wave height from seismic data.&amp;amp;#160;&amp;lt;br&amp;gt;We apply the three approaches to seismic and ocean buoy data recorded in the east coast of the United States. All three approaches are able to successfully predict ocean significant wave height from the seismic data. We compare the three approaches in terms of accuracy, computational effort and robustness. In addition, we investigate the regimes where each approach works best. &amp;amp;#160;The results show that the RNN approach is able to predict well the significant wave height recorded at the buoy. The prediction is improved if several nearby seismic stations are used rather than just one.&amp;amp;#160;&amp;lt;br&amp;gt;This work is supported by FCT through projects UIDB/50019/2020 &amp;amp;#8211; IDL and UTAP-EXPL/EAC/0056/2017 - STORM.&amp;lt;/p&amp;gt;
Increasing the Accuracy of Recommender Systems Using the Combination of K-Means and Differential Evolution Algorithms

Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user interests. In this paper, to achieve the mentioned aim we use a combination of K-means and differential evolution algorithms. The K-means algorithm determines the best recommendations for the current user based on the behavior of the other users. The differential evolution algorithm is used to optimize the user clustering in the recommender system. Given that the proposed model has been tested in a movie domain, the films suggested to the current user, have the highest rates from the users who are similar to the current user. The results gained from the simulation show the superior performance of the proposed model in comparison to the related works with an average increased accuracy of 0.01.