Reviewerly/exHarmony huggingface dataset:
Automatic landmark point detection and tracking for human facial expressions

Facial landmarks are a set of salient points, usually located on the corners, tips or mid points of the facial components. Reliable facial landmarks and their associated detection and tracking algorithms can be widely used for representing the important visual features for face registration and expression recognition. In this paper we propose an efficient and robust method for facial landmark detection and tracking from video sequences. We select 26 landmark points on the facial region to facilitate the analysis of human facial expressions. They are detected in the first input frame by the scale invariant feature based detectors. Multiple Differential Evolution-Markov Chain (DE-MC) particle filters are applied for tracking these points through the video sequences. A kernel correlation analysis approach is proposed to find the detection likelihood by maximizing a similarity criterion between the target points and the candidate points. The detection likelihood is then integrated into the tracker’s observation likelihood. Sampling efficiency is improved and minimal amount of computation is achieved by using the intermediate results obtained in particle allocations. Three public databases are used for experiments and the results demonstrate the effectiveness of our method.
National Retrospective Bibliography – a reflection of the Romanian cultural heritage

The paper presents a short history of the National Retrospective Bibliography of the Romanian book, highlighting its role and evolution from its establishment to the present. Thus, are mentioned aspects related to the foundation of the National Retrospective Bibliography, a fundamental work for the culture of the Romanian people, as part of Ioan Bianu’s plan, conceived and approved in 1895 by the Romanian Academy. Next, Bianu’s plan is presented in few details, specifying the periods in which the work was divided, as follows: Old Romanian Bibliography: 1508–1830, Modern Romanian Bibliography: 1831–1918 and Retrospective Romanian Bibliography: 1919–1952. A short presentation of Ioan Bianu’s career is made also. The National Retrospective Bibliography is an expression of the Romanian cultural heritage, having a significant role in fulfilling a historical mission: through the printed word it brought to the consciousness of the Romanians the idea of fulfilment of the greatest goal of December 1, 1918 – the unification of Transilvania, Basarabia, and Bucovina with the Romanian Kingdom. Keywords: national bibliography; retrospective bibliography; modern bibliography; Romanian bibliography; Romanian Academy Library; cultural heritage.
Disease Inference from Health-Related Questions using Sparse Neural Network and LSTM

There are many relationship and context retrieval related problems that are resolved using medical records with Deep learning-based techniques, but when it comes to community data such as health care forums where the quality of data cannot be met as health records due to gap in medical vocabulary it becomes impossible to provide an accurate solution, our research involves in providing a solution to this problem. The graph algorithms have always provided the best solutions to map and normalize in NLP domain, we have used the same to find the normalized medical terms for out user questions in the health care forums. Instead of training the actual data from the forums with the LSTM, we create medical signatures of the words coming together to form a context in the medical dictionary. We consider the words used in the dataset as vertices and find dense subgraphs to uniquely identify the condition with medical dictionary data. In simple words, we aim to build a system to convert the vague descriptions of the disease to match the accurate medical term from the medical dictionary such as snomedCT. We used the words which co-occur to define our relations which will, in turn, provide us with a solution to bridge the gap of medical vocabulary. The mappings of normalized terms are foundations to build the hidden layer of our neural networks, instead of constructing a direct connection between the input neurons to all hidden neurons we connect only the subgraph results thus improving our accuracy to a better level then existing methodologies.
Analysis and Forecast of Index Monthly Time Series Based on Arima Model

Stock market prediction plays an important role to decide investment in markets over the time period. The Auto Regressive Integrated Moving Averages (ARIMA) have been explored for time series prediction. This paper explores the process and method of building Stock predictive models is using ARIMA model. The Stock market indices data of Bombay Stock Exchange (BSE) is used in building stock predictive model. The Results revealed that the ARIMA model has a robust for particularly short term prediction and endorsed with current techniques for Stock Market prediction. The study made a few observations which may help the investors and model builders to understand better about the stock market analysis.
Interactive Learning: An Innovation for English Language Acquisition

The education field is constantly venturing into many creative forms. Interactive learning is a hands-on approach to boost students' engagement and confidence. With new innovation, interactive learning enables students to reinforce critical thinking and problem-solving abilities in second language acquisition. Thus, the aim of this research is to design and create new interactive tool for second language teaching which can benefit both teachers and ESL students. This teaching and learning tool can be used for the 4 basic skills in ESL classrooms namely reading, listening, speaking and writing. A total of 30 students from a rural public secondary school were involved in this study. This interactive tool can help in building students’ motivation in learning especially among the low proficiency students and create autonomous learners who enjoyed and have fun while learning English. In conclusion, it is hoped that this research could add knowledge to the field of interactive tools and promotes creativity among second language teachers.
Review of weather and climate forecasting with neural networks

This is a very interesting paper that provides an honest presentation of new results on the use of neural networks to learn the equations of motion of the atmosphere.
Job Satisfaction Dimensions and Organizational Commitment: Tools to Understand Employee Turnover Intention of IT/ITES Industry of the Gujarat State with a Focus on BPO Segment

Attrition is one of the biggest challenge for any industry as it comes with many demerits such as loss of productivity, incurring of various costs such as training &amp; development, recruitment etc. According to the Compensation Trends Survey conducted by Deloitte Human Capital Consulting, the IT/ITES industries of the Indian market have faced 15% of the attrition that is higher for any industry. Thus, the companies of this industry are focusing to decrease the turnover intention in order to reduce the actual employee turnover. The aim of this research is to find out the influence that Job Satisfaction and organizational commitment have on the turnover intention on the employees. Various research suggests that organizational commitment and turnover intentions are negatively correlated. Also, the studies suggest that Job Satisfaction and employee turnover intentions have a negative relationship. This study has been conducted to examine the relationship between Job Satisfaction, organizational commitment, and turnover intention for the IT/ITES industry employees with a special focus to BPO segment. The researchers have taken data from 500 employees of the BPO segment from 3 major cities of Gujarat i.e. Ahmedabad, Gandhinagar and Baroda. The researchers have used Multiple regression and ANOVA to examine the influence of the organizational commitment &amp; job satisfaction on the turnover intention. The result shows that higher level of organizational commitment reduced the turnover intention. This research can help the BPO organizations to formulate &amp; implement the strong retention strategies. Also, this study provides a direction to the academicians to explore further dimensions of the research in the various industries as well as various regional backgrounds.
EVALUATION an RE-PLANNING OF THE URBAN DRAINAGE SYSTEM on JALAN BOROBUDUR - JALAN CANDI TELAGA WANGI MALANG

With the increase in population and development activities, there will be a major impact on surface runoff which causes reduced rainwater catchment areas, particularly on Jl. Borobudur - Jl. Telaga Wangi Temple, Malang City. The purpose of this plan is to calculate the existing discharge capacity, calculate the design flood discharge, and evaluate the dimensions of the drainage channel. To evaluate the urban drainage system on Jl. Borobudur - Jl. Telaga Wangi Temple Malang City data required rainfall data from 3 closest stations, namely Dinoyo, Blimbing and Karangploso for the last 10 years, namely in 2009 - 2018, data on salura dimensions and population data. To calculate the rainfall using the algebraic average method, then to determine the type of distribution using the Pearson log type III method with a 10 year reset and then calculating the design flood discharge using the mononobe method and channel water discharge using the rational method. From the calculation results, the design rainfall is 82,794 mm / day; the largest channel dimensions are 1.1 m wide and 1.1 m high.
Trident Technology Usage in Query Search time by using Cache Memory

Big data is technology which has the users increasing day-by-day. This technology is now using in all the fields for storing the large dataset. Large datasets cannot be handled by normal database. So we are using this big data. Here in this paper we are using trident technology to avoid the issues searching query in hadoop like time. So by using cache memory is used with trident technology to perform the search operation faster than the hadoop. Here we are using the SHA algorithm while clustering the dataset.
Analysis of the Summon Service at Ryerson University

&lt;p&gt;Overview:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Our research study was initiated to assess Ryerson’s discovery layer and explore how well the tool served our user needs.&lt;/li&gt; &lt;li&gt;Feedback collected will be used evaluate investment in the tool&lt;/li&gt; &lt;li&gt;Project began in the summer of 2011&lt;/li&gt; &lt;li&gt;Project approved by Ryerson Research Ethics&lt;/li&gt; &lt;li&gt;Funding supported by the Ryerson Library &lt;/li&gt; &lt;/ul&gt;
Examining Univariate Distributions

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
Vision-Based Security System

notion for the actual-time imaginative and prescient-primarily based protection shape movements in putting on developing frightful lead ground these days, which evaluations impedance for excessive-safety areas in which the closeness of an unapproved person denied. The paper assesses at the dwindled introduced on key mercilessness execution of a form for alternate affirmation in wi-wi-fia wiwireless checked range. the winning paper suggests a fable based totally absolutely safety form that factors a Linux based totally objective board, net-virtual digicam, and suggestions to caution the involved purchaser. This work is acceptably made on embedded purpose organize centered indicated consciousness at same time because the contraption and the detail are c084d04ddacadd4b971ae3d98fecfb2a on the Linux aspect by way of manner of manner of porting flow into-facilitated correspondingly digital A photo is gotten from a web-digital camera relatively amongst instances &amp; making use of a change-simple check device,., picture endeavors closingwireless painting the chief mass is exceeded on. the sector of the lowest regular is accumulated through calculating the imply of pixel % components. those estimations of the pass-piece a district are secludes and picked inclinations. At whatever factor picked developments fall within the degree of theoretical traits, it can be appeared as a human impedance. the ones tiers of speculative traits (the same antique pass-sectional place of a human) are delineated in Anthropology speculation. This shape has been scanned for after for c084d04ddacadd4b971ae3d98fecfb2a conditions, for example, an exploratory close watched place, and accomplishes over 86% vicinity fee at wi-wi-fiwiwireless-6 reducing-edges/s planning velocity.
Hybrid Text and Value Based Ncryption and Obfuscation (Tvbencobfus) To Safeguard Data in Cloud Storage Server

The proposed hybrid encryption and obfuscation technique are more efficient than previously proposed two algorithms. Because this technique considers all types of data which are ready to be uploaded to the cloud. It integrates the independent two procedures into a single procedure and executes both procedures in a parallel manner. For Example, if we consider data with a mixer of text and value-based, then, the proposed algorithm is called the tbenc() and vbobfus() procedure for text and value-based data respectively.
Graph Isomorphism in View of Decomposition Technique

Graph Isomorphism is anopen problem in graph theory. A large number of graphs have the polynomial time algo-rithms for detection. But in general there are specific algorithms for certain range of vertices. Our try to design a generic algo-rithm. In this paper we proposed an algorithm of O(n3) complexi-ty. The decomposition techniques have been adopted as well as reconstruction conjecture in reverse for taking decision of whether the two graphs are isomorphic or not.The ideology is inherited from DNA isolation in molecular biology [Chomczynski et. al].
Setting an ethical example with authentic leadership

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This research paper concentrates on how authentic leadership (AL), workplace climate, knowledge sharing, and employee performance interrelate based on data from people working in two telecommunications firms in Jordan. A highly ethical and moral AL style has a positive effect on an employee's performance and creativity. Furthermore, the workplace climate impacts the relationship between AL and creativity, and knowledge sharing impacts the relationship between AL and the workplace climate. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Sound and movie examples – issue 24(2)

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Discrete Random Variables and Probability Distributions

Suppose a city’s traffic engineering department monitors a certain intersection during a one-hour period in the middle of the day. Many characteristics might be of interest: the number of vehicles that enter the intersection, the largest number of vehicles in the left turn lane during a signal cycle, the speed of the fastest vehicle going through the intersection, the average speed \( \bar{x} \) of all vehicles entering the intersection.
Persönliches: geotechnik 4/2019

geotechnikVolume 42, Issue 4 p. 233-235 Persönliches Persönliches: geotechnik 4/2019 First published: 02 December 2019 https://doi.org/10.1002/gete.201970406Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume42, Issue4December 2019Pages 233-235 RelatedInformation
Image Inpainting Based on Self-attention and Gated Convolution

Recently, significant progress has been made in the challenging task of image inpainting based on deep learning methods. These methods can produce visually sound image structure and texture but generally result in distorted or blurred surfaces. It is mainly due to the inefficiency of convolutional neural networks in replicating spatial location information from a distance. We propose a novel Image inpainting model, named IISAGC (Image Inpainting based on Self-Attention Gated Convolution), which combines the self-attention and Gated Convolution mechanisms. This method can combine novel image structures with explicit use of the surrounding image features and remote pixel relations as references to make better predictions during network training. The model is a two-stage generation network based on a U-Net structure, which can process missing images in any position. Qualitatively and quantitatively, compared datasets including faces (CelebA), textures (DTD), Google Street View, Paris Street View show that our proposed method can obtain high-quality visual inpainting results.
Risk Management of Credit Card Payment Gateway using Octave Allegro Methodology At Electronic Payment Provider Institution

The use of internet technology is growing very fast which is driving the development of businesses in Indonesia, one of which is in the eCommerce sector. To support payment transactions conducted by e-commerce, in conducting this business, it is necessary to collaborate with business partner engaged in the payment gateways sector. Company partner engaged in the payment gateways sector to provide solutions to electronic financial transactions where one product is a credit card payment gateways. The purpose of this research is to make a risk assessment and risk management for audit certification credit card payment gateway Company. Risk assessment can help to know what are the risks that may occur, how big the impact of these risks, as well as recommendations related control measures must be carried out if the impact of these risks occur. This research using OCTAVE Allegro methodology to identify and evaluate information security risks credit card payment gateway. This research is qualitative research consisting of observation, conducting group discussion with the respondents. The respondend of this research are VP Development and Service Provisioning, VP Operation and Infrastructure, Manager Front End 1, Manager Back End 2, and Senior Programmer. Results of this research are 9 critical information assets in credit card payment gateway in COMPANY, such as : Card Holder Data &amp; Customer Credential, Data Center, Physical Devices, Logical Storage, Logical Network, Supporting Software, Core Application, Encryption Key, and Human Resources. There are 21 risks that may occur during in credit card payment gateway. From 21 risks that were identified, obtained 15 risks are defer, 3 risks to be acceptable, and 3 risks should be mitigate.
A novel sentiment classification based on “word-phrase” attention mechanism

With the rapid development of the COVID-19 epidemic, people are prone to panic due to delayed and incomplete information received. In order to quickly identify the sentiments of massive Internet users, it provides a good reference for government agencies to formulate healthy public opinion guidance strategies. This paper proposes a novel sentiment classification based on “word-phrase” attention mechanism (SC-WPAtt). On the basis of TCN, we propose a shallow feature extraction model based on the word attention mechanism, and a deep extraction model based on the phrase attention mechanism. These models can effectively mine the auxiliary information contained in words, phrases (i.e. combined words) and overall comments, as well as their different contributions, so as to achieve more accurate emotion classification. Experiments show that the performance of the SC-WPAtt method proposed in this paper is better than that of the HN-Att method.
Year of the table

Chemistry & IndustryVolume 83, Issue 1 p. 19-21 Feature (Year of the table) Year of the table First published: 23 January 2019 https://doi.org/10.1002/cind.831_8.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume83, Issue12019Pages 19-21 RelatedInformation
Editor-in-Chief’s Year-End Message

Dear Readers, Another fantastic year for TIM comes to an end, and I am delighted to share with you both the great achievements of 2019 and the exciting plans ahead. As always, let us start with the most important aspect, which is the quality of our journal.
Study and mitigation of epistemological obstacles in the technological disciplines of higher education in Madagascar: Case of industrial technical drawing

In this paper, we provide an element of response, from a conceptual and material point of view, to the problem encountered in the teaching-learning of technical drawing at the École Normale Supérieure pour l'Enseignement Technique -ENSET of the Antsiranana University in Madagascar.After analyzing and discussing the results of measurements taken during field observations, we adjusted the teaching-learning system, through reference, theoretical and conceptual frameworks adapted and adopted following the literature review.With this work, we present a new way of apprehending the learning object, in the new era through computer science which is part of socio-emotional mediation, and which will meet certain criteria of attraction social, modernization and creation inducing a stable scientific culture of the population involved.
Editor’s Letter

1. Brian Bruce 1. Editor-in-Chief <!-- --> 1. To order reprints of this article, please contact David Rowe at d.rowe{at}pageantmedia.com or 646-891-2157. This issue of The Journal of Investing focuses on cryptocurrencies in the global economy. On April 24, 2018, Cryptocurrencies in the