Reviewerly/exHarmony huggingface dataset:
Ekspresi Visual Memori Traumatik

&lt;p&gt;An accident experienced by a person, becomes an unforgettable experience. Events that are embedded in memory are often a source of inspiration for artists in the creative process. Some great artists who have experienced an accident have become ideas in the process of creation. The purpose of this creation is to visualize an accident that is recorded in memory and leaves a deep trauma, so that emotions and expressions through art can be appreciated by appreciators. The method used is descriptive analysis and historical. The results of the creation of the artwork are 4 works of art using oil paint on canvas measuring 100 x 120 cm which carry trauma, through these artworks the appreciators can feel the emotions offered by the artist. The visualization in this work is the object of the human body gesture which is dominated by a centered or centered composition with black, white, and gray monochrome colors.&lt;/p&gt;&lt;p&gt;Peristiwa kecelakaan yang dialami oleh seseorang, menjadi sebuah pengalaman yang tak terlupakan. Peristiwa yang melekat dalam ingatan kerap menjadi sumber inspirasi seniman dalam proses kreatif. Beberapa seniman besar yang pernah mengalami sebuah sebuah peristiwa kecelakaan, justru menjadi gagasan dalam proses penciptaan. Tujuan penciptaan ini untuk memvisualisasikan sebuah peristiwa kecelakaan yang terekam dalam memori dan meninggalkan trauma yang mendalam, sehingga emosi dan ekspresi melalui karya seni dapat diapresiasi oleh apresiator. Metode yang digunakan adalah deskriptif analisis/historis. Hasil dari penciptaan karya seni adalah 4 karya seni dengan menggunakan cat minyak diatas kanvas berukuran 100 x 120 cm yang mengusung traumatis, melalui karya seni tersebut para apresiator mampu merasakan emosi yang ditawarkan oleh seniman. Visualisasi dalam karya ini adalah objek gesture tubuh manusia yang didominasi dengan kmposisi memusat atau ditengah dengan warna monokrom hitam, putih, abu-abu.&lt;/p&gt;
Analyzing the Students’ Interest on the Use of Semantic Mapping Strategy in Improving Students Writing Skill

This research used descriptive quantitative method. It aimed at finding out and analyzing students’ interest on the use of mind mapping strategy to improve the students writing skill. To gain the data, the researchers used questionnaire with 10 statements. The researchers took second grade students of SMP Satap Pongsamelung and chose 10 students as participants. The data shows that they have good response towards the use of semantic mapping strategy such as: they were always interested, felt helpful and happy to learn English using this strategy particularly in improving their writing skill. Based on the result of this research, it can be concluded that that most of the students were interested to improve their writing skill using semantic mapping strategy.
Language Ecology in New Media: An Analysis of CCTV.com on Douyin

The purpose of this paper is to find the correlation between linguistic features and social engagement so that we can employ proper language to solve the ecological problem in the new media context. It collected all 2647 video messages of CCTV.com (account name, not website), the official media, on Douyin (China&amp;rsquo;s domestic version of Tik Tok) from January 1, 2020, to December 28, 2020, which were analyzed and studied by SPSS 22.0 and Corpus Online. It is found that public concern for a topic was significantly influenced by public opinion (r=0.483, p=0.000) and public dissemination (r=0.590, p=0.000). Declarative (n=1858, f=0.57) and Exclamative (n=1132, f=0.35) were used most frequently by CCTV. com, while the former one (p=0.02) was the key point to influence public opinion, while the latter one (p=0.001) had a significant bearing on public concern through regression analysis. On the contrary, Imperative (n=0) is not favored. Interrogative (p&amp;gt;0.05), Punctuation (p&amp;gt;0.05) and Emoji (p&amp;gt;0.05) had no effect on social engagement. The results of this paper indicated that language could significantly guide users&amp;rsquo; ecological behavior and value orientation across space-time in the new media context.
Virtual Shopping Assistant for Online Fashion Store

Abstract: A new way for individuals to interact with computer systems will be done through chatbots or conversational interfaces. Historically, introducing a matter answered by a software package involves employing a program or filling out a type. The technology at the core of the increase of the chatbot is NLP i.e., Natural Language Processing. Sequence to Sequence (often abbreviated to seq2seq) fashions is a specific type of Recurrent Neural Network architectures that we commonly use (but no longer restricted) to clear up complicated Language issues like Machine Translation, Question Answering, growing Chatbots, Text Summarization, and so forth. Recent advances in machine learning have greatly improved the accuracy and effectiveness of NLP, creating chatbots a viable choice for several organizations like e-commerce, Customer service, Conversational apps, social media, Sales/Marketing/Branding, as Voice modules, Travel industry, Medicine, Hospitality, Human Resources etc. An NLP primarily based chatbot is a pc software or synthetic brain that communicates with a patron by means of textual or sound strategies This improvement in NLP is firing a great deal of additional analysis and research which should lead to continued growth in the effectiveness of chatbots in the years to come. Stochastic gradient descent (often abbreviated SGD) is an iterative approach for optimizing an goal characteristic with appropriate smoothness homes (e.g. differentiable or sub differentiable). Usage of Chatbots can also prove to be beneficial in ways like economically offering 24/7 service, improving customer satisfaction, reaching a younger demographic, reducing costs, increasing revenue and much more. Keywords: Chatbots, Natural Language Processing (NLP), Stochastic Gradient Descent (SGD), Sequential Model, Machine Learning
Development and Analysis of High Efficient Soundless Drone

Abstract: In the recent years, as interest in Unmanned Aerial Vehicles (UAVs) has increased, the development in the drone has an important technology for security and military applications. Various missions can be done using this system as it will help in the surveillance in unknown areas, forestry conservation, spying enemy territory. Application which is developed in this research has a purpose to simulate condition in war zone for spying the enemy. Following current trends towards UAV innovative design a small size light UAV quad copter system was design, assembled and tested in flight. The aim is to design a low cost structure and make it comparable with other more expensive. Keywords: Unmanned Aerial Vehicles, Rescue mission, design of drone Surveillance.
Face swapping using deep privacy

In this paper, we propose an estimation for totally customized mind face exchanging pictures and accounts. To the best of our data, this is the best strategic fit for conveying photo reasonable and fleetingly levelheaded results at the megapixel objective. To this end, We present a light-and difference protecting mixing technique, as well as a bit by bit, prepared multi-way brush network. We in like manner show that while moderate the arrangement enables a period of significant standard pictures, extending the plan and planning data past two people grant us to achieve higher consistency in delivered articulations. When compositing the created articulation onto the objective face, we advise the most ideal way to change the mixing approach to shield contrast also, low-repeat lighting. Finally, we merge a refinement technique into the face achievement change estimation to achieve common sufficiency, which is pressing for working with significant standard accounts. We direct an expansive evacuation study to show the effect of our arrangement choices on the nature of the exchange and the difference between our work and well known top tier systems.
Knowledge Source Rankings for Semi-Supervised Topic Modeling

Recent work suggests knowledge sources can be added into the topic modeling process to label topics and improve topic discovery. The knowledge sources typically consist of a collection of human-constructed articles, each describing a topic (article-topic) for an entire domain. However, these semisupervised topic models assume a corpus to contain topics on only a subset of a domain. Therefore, during inference, the model must consider which article-topics were theoretically used to generate the corpus. Since the knowledge sources tend to be quite large, the many article-topics considered slow down the inference process. The increase in execution time is significant, with knowledge source input greater than 103 becoming unfeasible for use in topic modeling. To increase the applicability of semisupervised topic models, approaches are needed to speed up the overall execution time. This paper presents a way of ranking knowledge source topics to satisfy the above goal. Our approach utilizes a knowledge source ranking, based on the PageRank algorithm, to determine the importance of an article-topic. By applying our ranking technique we can eliminate low scoring article-topics before inference, speeding up the overall process. Remarkably, this ranking technique can also improve perplexity and interpretability. Results show our approach to outperform baseline methods and significantly aid semisupervised topic models. In our evaluation, knowledge source rankings yield a 44% increase in topic retrieval f-score, a 42.6% increase in inter-inference topic elimination, a 64% increase in perplexity, a 30% increase in token assignment accuracy, a 20% increase in topic composition interpretability, and a 5% increase in document assignment interpretability over baseline methods.
Solution to Last Month’s Quiz [Enigmas, etc.]

We remember the truncated cosine waveform formulated in the previous puzzle.
The Impact of the use of Video Through the Android Application as an Anemic Educational Media on Increasing Knowledge about Anemia On Adolescent Girls

Anemia in adolescents is one of the nutritional problems in the world. One of the efforts to prevent anemia early is to provide anemia education to improve knowledge and attitude of young women about anemia. The purpose of this study was to analyze the influence of using video through the android application as an education media for anemia on increasing knowledge and attitudes about anemia in adolescent girls. This method of research type was quasi experiment with control group desigh pre test−post test. The research population and sample in this study were 80 and XI female teenagers in SMA 6 Yogyakarta as many as 80 people selected using proportional stratified random sampling technique. The data collection instruments used questionnaire.The data analysis used paired samples t-test and independent samples t-test. There are differences in the increase in knowledge and attitudes that are meaningful before and after anemia education is given using video through the android application and using lectures. The difference in the increase in knowledge in the video usage group through the android application is 26.88 and in the lecture group by 16.38. Difference in the increase in attitudes in the group of video use through android applications amounted to 21.96 and in the lecture group amounted to 19.06 with p = 0.001 (&lt;0.05). There is an influence of the use of video through an android application to increase knowledge and attitudes about anemia in adolescent girls.
MO055: Multi-Class Segmentation of Kidney Tissues using Convolutional Neuronal Networks (CNNS)

Abstract BACKGROUND AND AIMS Routine pathological diagnostics in kidneys are mainly based on semi-quantitative eyeballing. In own former studies, we showed predictive value of precise immune cell quantification in allografts using digital semi-automated techniques. We now aim to achieve fully automated segmentation workflow with CNNs. METHOD Standard routine stains (immuno/histochemistry, immunofluorescence) were digitized (20×) with Metafer, a commercial scanning/imaging platform. Diagnostically relevant anatomical compartments (cortex, medulla, glomeruli, tubuli [proximal/distal/collecting duct], glomerular/peritubular capillaries and nuclei) were manually annotated by use of immunomarkers to generate large data sets on human renal biopsies and nephrectomies. Data were used to train multi-class semantic segmentation CNNs with broad data augmentation to achieve a robustness against staining variances. RESULTS Using Jones-HE stains for multi-class segmentation, a cortex-medulla-extrarenal CNN revealed pixel based hit rates above 97.9%, detection of glomeruli had a pixel based hit rate above 99%, a multi-class CNN for tubules, tubular membranes and peritubular capillaries resulted in a hit rate of 91.5%, and nuclear-based cell detection shows pixel based hit rates above 98%. Identification of cell location in interstitium, tubuli, glomeruli, peritubular and glomerular capillaries reached very high hit rates: Glomerular endothelial cells actually result in 83% true positives, 13% false negatives and 4% false positives. Additionally, a tubulus classifier (proximal tubulus, distal tubulus, collecting duct and atrophic tubulus) with an accuracy &amp;gt;90% was developed. CONCLUSION Automated structure segmentation by CNNs can complement and specify classical nephropathological diagnostics, especially for spatial risk marker evaluation in early transplant biopsies.
Cashless Society: Managing Privacy and Security

A cashless society is an economic state which handles financial transactions not in the form of traditional mediums of currency, such as cash or coins, but by transferring digital data between participating parties. Balancing both the individual privacy along with data security is vital in the information age. In order to increase privacy in a cashless society, a new kind of banking service that assigns randomized numbers to credit cards, and the usage of blockchain to monitor all transactions from individuals, and a campaign to educate and inform key stakeholders about security and privacy risks to provide the necessary tools and interaction with a foreign entity or other third parties. Blockchain and card randomization are both susceptible to zero-day errors, bugs and varied levels of social acceptance. This study provides critical and crucial steps to prevent the loss of privacy of an individual in a cashless system.
Impact of Energy Management on a Solar Photovoltaic Microgrid

bigger percentage of known primary sources of energy is fossil fuel. The energy consumption is rapidly increasing all over the world but their real sources generally remain limited. As the world fossil fuel production rate stands, many major producer countries will deplete their oil fields within a decade calling for some other alternative sources of energy production. Investing in renewable energy resources as an alternative to fossil fuel burning has been on the rise with solar photovoltaic taking the lead in supplying a clean environmentally friendly renewable energy resource using solar photovoltaic technology. Fossil fuel burning also causes global warming and consequent destruction of ozone layer. This paper presents the impact of energy management on a solar photovoltaic microgrid. Literature related to solar photo-microgrid reviewed from various researchers, mathematical modeling, energy management, and weather forecast of the microgrid studied. Furthermore, the economic and environmental impact of installing the solar PV system to supplement the utility grid electricity studied. The microgrid modeling done in MATLAB/Simulink software, hardware components assembled and Arduino Uno used to implement the energy management system in real-time. The weather forecast that led to estimation of future solar power production done using both PVsyst and Application Programming Interface (API) software for medium term and short term planning respectively. The economic analysis of the proposed solar PV system show that the initial cost of investing in the solar PV system is US$ 384, the payback period estimated at 11 years while the overall saving gained by switching from the utility grid electricity to solar PV system for 25 years estimated at US$ 486. The energy management achieved through switching between the PV based microgrid and the utility grid electricity is able to reduce 1,333.78 kg of CO2 emissions during the 25 years of the project life.
The impact of mobile and static info-graphic advertising in addressing Covid-19 virus crisis in increasing awareness among different populations

This paper aims to clarify the impact of mobile and static info-graphic advertisements in addressing global Covid-19 virus and its role in increasing awareness among citizens in all countries of the world, as info-graphic is a graphic visual representation of informations, data, or knowledge intended to present information quickly and clearly.Info-graphs can improve cognition by utilizing graphics to enhance the receiver visual system's ability to see patterns and trends.Social media networks have become the primary concern now, due to their importance in society with the means of attraction of varies and wide range of targeted audience, in addition to the possibility of using it at any time besides the ease of dealing.The daily exposure to advertisements on social media pages has become a daily habit, and for the ease of communication with the audience, the art of info-graphic has developed in recent years to become a means to reach a wider target audience by simplifying the complex topics and arranging them in the form of a simple popularity as shown in the last years.For information easily.The info-graphic designs helps attract more followers and participants to social media accounts and reach a wider audience base, as it is easy to be embedded on TVs, blogs, websites, and can be used in electronic brochures and printed materials.Consequently, info-graphic becomes an important role in spreading awareness among citizens all over the world, especially the moving info-graphic.With the emergence of the new Corona virus, which, according to what the United Nations has stated, is considered a global epidemic attacking citizens all over the world.It was imperative to make awareness-raising advertisements for citizens to confront this virus and limit its spread .Therefore, the best way to confront this virus was to introduce it using info-graphic ads, whether static or mobile, to address this global epidemic.This is due to its importance and ability to reach the largest possible number of citizens in various places, besides communicating information in a clear and simple manner, in addition to the speed of access and response.Some examples have been illustrated and discussed in this paper about using info-graphic covid-19 advertisements in increasing citizen awareness, besides the statistical method used in analyzing the questionnaire presented to a wide category of citizens.
Publishing and book trade bibliography in foreign countries

The article considers aspects of formation and characteristics of publishing and book trade bibliography in foreign countries. Its historical experience is diverse and specific due to national conditions, but even in this diversity, the general patterns and features inherent in the publishing and book trade bibliography of many countries are clear. On the example of the history of origin, development and modern practice of publishing and book bibliography of Great Britain, the USA, Germany and France we trace both national features and regularities of the historical way and modern structure of this kind of activity.&#x0D; It is emphasized that bibliographic information about publishing products is the only possible form of presenting information about the product in the book trade. Management decisions, success of commercial enterprises, profit-making, etc. depend on the rules and principles on the basis of which bibliographic information is created and disseminated. The importance of modern bibliography enhances the widespread introduction of Internet technologies, their use in the sale of books and other publishing products, the organization of virtual bookstores and more.
Odessa period in the creative activity of the famous Ukrainian librarian L. Khavkinа

The proposed research is substantively and conceptually related to research on the history of domestic library science and is directly devoted to the methodological and educational activities of the famous Ukrainian librarian L. Khavkinа in Odessa 1925 year. The article uses authentic materials stored in the funds of the Odessa Regional State Archive and in the funds of the Book Museum of the Odessa State Scientific Library. Among them are such unique documents as the minutes of the meetings of the presidium of the Library Association of Odessa in 1925 year, the report of the Bibinspektura on conducting a seminar with the participation of L. Khavkinа and, finally, own financial receipts made by L. Khavkinа. These documents state that the information provided during the methodological meetings by L. Khavkinа made an unforgettable impression on the Odessa library community and encouraged it to further the fruitful development of the Odessa library business and prompted the centralization of Soviet libraries in the Odessa region and further centralized exchange of methodological, scientific and educational, library and bibliographic literature and information. However, unfortunately, L. Khavkinа's stay in Odessa and holding a library seminar was accidental and took place on the recommendation of Agitprom Gubkom and the Odessa library community did not make a special professional impression on L. Khavkinа, so in the field of professional research interests of the famous librarian further was not included.
Recommendation System for Open Source Projects for Minimizing Abandonment

The rise in the creation and maintenance of Open Source&#x0D; Software have facilitated the software developers to contribute&#x0D; and prevent abandonment. Software developers often&#x0D; face a daunting task to select the open source projects that remain&#x0D; active. In the absence of any resource to guide in the selection&#x0D; of the Open Source Software projects, recommendation&#x0D; systems is way to provide guidance to open source contributors.&#x0D; In this work, we describe several approaches in creation&#x0D; of recommendation systems for Open Source Software&#x0D; projects. Experiments on a synthetic data set are performed&#x0D; to evaluate the performance of the recommendation system.
Study Smart Road with Glowing Lines

Abstract: The years we are experiencing are often identified as those of the Age of Smart Technologies. Smart is now a very popular term, with the meaning of clever, intelligent, sharp, quick on the uptake. Its extensive meaning can be grasped if we consider it as an acronym for Self-Monitoring Analysis and Reporting Technology to indicate the essential features of the innovative technologies that characterize today’s society in its daily life. All the things are changed but highways are not changed. The "Smart Highway with glowing lines" is the concept to make highway roads smarter, safer, and more energy efficient for generating energy using solar energy. In the part of Smart Highways with Glowing Lines the road glow in the dark lines is installed, called Glowing Lines. These lines collect energy during the day and give light in the evening. Here the landscape becomes an experience of light and information. As a result, this increases visibility and safety. Smart highways and smart roads are terms for a number of different proposals to incorporate technologies into roads like Smart Road with Glowing Lines, for lighting road at Night Time. This innovative concept creates an entirely new mobility experience for drivers, cyclists and pedestrians. Ideas from this testing ground are increasingly becoming part of our everyday landscape. Keywords: Solar energy, Glowing Lines, self-awareness