Reviewerly/exHarmony huggingface dataset:
Visual Encoding and Debiasing for CTR Prediction

Extracting expressive visual features is crucial for accurate Click-Through-Rate (CTR) prediction in visual search advertising systems. Current commercial systems use off-the-shelf visual encoders to facilitate fast online service. However, the extracted visual features are coarse-grained and/or biased. In this paper, we present a visual encoding framework for CTR prediction to overcome these problems. The framework is based on contrastive learning which pulls positive pairs closer and pushes negative pairs apart in the visual feature space. To obtain fine-grained visual features, we present contrastive learning supervised by click-through data to fine-tune the visual encoder. To reduce sample selection bias, firstly we train the visual encoder offline by leveraging both unbiased self-supervision and click supervision signals. Secondly, we incorporate a debiasing network in the online CTR predictor to adjust the visual features by contrasting high impression items with selected, low impression items. We deploy the framework in a mobile E-commerce app. Offline experiments on billion-scale datasets and online experiments demonstrate that the proposed framework can make accurate and unbiased predictions.
NLP Driven Adaptive Video Playback Rate Adjustment

This paper suggests the first method to adjust video playback rate actively according to the importance of the scenes using Natural Language Processing (NLP). For this purpose, the relationship between scene information and required playback time has been formalized. We propose a data set that consists of several YouTube videos from different categories. Our learning powered model mainly relies on some statistical extractive summarization techniques and various additional features such as context-specific important words. Furthermore, we have incorporated our model with a success-proven summarization model and studied its impact on the results. Lastly, we show subjective ratings for the proposed approach, which drastically reduces the required watching time without loss of any information.
“Beautiful patterns” MIT and Tec de Monterrey International Bootcamp: engineering women students teaching IT to high-school women students

Our first objective in this article is to explain the educational innovation of this bootcamp in its totally digital version for the first time, a version used during the pandemic in 2021 and that we are confident will serve as a basis for carrying out remote bootcamps, always with the idea of promoting the inclusion of more women in IT careers and STEM areas, connecting female high school students with engineering students from prestigious universities and with female engineering professionals. The second objective of this article is to offer certain figures to measure the geographical and human scope of Beautiful Patterns 2021 in Latin America. The third objective is to present the exit study of the Beautiful Patterns 2021 bootcamp. The study followed 500 participating girls from different countries to determine if this bootcamp had created an impact on their perception of the IT, engineering, and STEM areas, considering the diagnosis made before the start of the bootcamp. Finally, we will outline the quantitative strategies being followed to see the long-term impact of the program.
Apply Emotional Intelligence to Your Work

The Major Gifts ReportVolume 24, Issue 6 p. 1-1 Honing Your Major Gifts Skills Apply Emotional Intelligence to Your Work Kim Pawlak, Kim PawlakSearch for more papers by this author Kim Pawlak, Kim PawlakSearch for more papers by this author First published: 04 May 2022 https://doi.org/10.1002/mgr.31923Read 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. Volume24, Issue6June 2022Pages 1-1 RelatedInformation
Enthralling Aspects in Automation of Face Recognition and Aging

In the proposed method, various data sets of different age groups, pose and illumination were included. The inclusion of different regions of people with various age groups and pose was to check the accuracy of the algorithm to confirm whether the preprocessing was done in away so as to reach the standard size of the system and also whether the feature values that were extracted from the processed face rendered the values to match with the expected results. A softmax classifier was used to classify the results. The deep neural network provided better classification. The comparative analysis with the reference papers classified the estimation in a better way. The classification was done on various input images and training sets to improve the efficiency of the algorithm. Since the estimation was obtained by considering varying criteria, a better accuracy rate was obtained. The common drawbacks were phase variation, database set size, level of classification, light effects and poses. The classified age groups are also high with narrow age limits. The furtherance can be achieved with the inclusion of all these factors.
Motorcycle contra robos device with mobile-based application

As a result of motorcycle theft, many motorcycle riders are experiencing troubles with their motorcycles. Thieves are growing more sophisticated when stealing motorcycles from riders in today's world. Many outcomes, ramifications, and possible solutions for motorcycle riders and the anti-carnapping task force where anti-theft systems in the Philippines are increasingly developed were addressed in this study, such components related to preventing theft.This study was conducted to help motorcycle owners and riders prevent their bikes from being stolen by developing and designing a Motorcycle Contra Robos Device with a Mobile-Based Application.This research also sought to establish the system's project success in terms of the ISO 25010 software quality model's primary features, which include functionality suitability, compatibility, usability, security, maintainability, and portability.The descriptive method was used by the researchers to describe the respondent’s assessments of the Motorcycle Contra Robos Device with Mobile-based Application in Barangay Maharlika Village Taguig City. The participants' evaluations were based on the Anti-Carnapping Task Force and Motorcycle riders. The researchers used a systematic approach to system development from idea to implementation.The test of differences in the assessment of the two groups of participants (Motorcycle Rider and Anti-carnapping Task Force) regarding the measuring tool using T-Test achieved at 0.008 T ratio where there are two groups of respondents, and there are six criteria per group. The computed value was compared to the tabulated/T-critical value at a 0.05 level of significance which shows the T-ratio is less than the computed value. Thus, the null hypothesis is accepted that “There is no significant difference between the perceptions of the two groups.” This means that the group participants agreed upon the testing of the system based on the criteria of ISO 25010.” This shows that the participating groups of respondents agreed on the criteria set by ISO 25010.
COMPUTER WORD RECOGNITION- IMAGE PROCESSING USING SIGN GESTURES- CREATION OF A NOVEL SIGN LANGUAGE

Sign language is used by deaf and hard hearing people to exchange information between their own community and other people. Computer recognition of Sign language deals from Sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognition systems are important to the human community. However, most people do not know the sign language. In this project, we aim to automatically recognize sign language Alphabet / Numbers / Words in image- based methodology using MATLAB. The problem addressed is based on Digital Image Processing using Skin Detection, Image Segmentation, Image Filtering, and cross- correlation method. This system expects to achieve recognizing gestures of ISL (Indian Sign Language) by special people and converting into speech/text. The statistic of the result of the implementation, it is therefore concluded that the method is used for cross-correlation and color segmentation work with hand gesture recognition. The results obtained are applicable and can be implemented in a mobile device smart phone having a frontal camera. The vision of an efficient system to translate sign language to text is quite achievable, but the challenges lie in optimization. Key Words: Computer recognition, Skin Detection, ISL (Indian Sign Language)
Sims: atext-based information system using symmetric and asymmetric algorithm

Information security is today’s everybody’s concern. Technology keeps on increasing however the issue of information theft are getting higher. The confidentiality, integrity and availability of information are being compromised and always at risk though information security are keeps on improving. This study aimed to build an information security using a text-based platform to store the data and preserved its confidentiality, integrity and availability. The study will focus on the security of information and its confidentiality, integrity, and availability. An information system was developed using Java. Once the user started to process the data, the system will automatically create a text file where data inputted from the system will be are stored. The system will generate text-based formats per user. Another text file pass dot(.) txt whew passwords are stored. The data or information are stored in different text files. The transaction data and passwords are encypted using asymmetric algorithms. Each user account should have a private key to be able to access the data. Once the user is log in to the system, user will use a public key to able to access the data. Moreover, the text files where the passwords are kept and the text files where data are stored will be encrypted using symmetric algorithm which uses a public key to all users. The researcher used descriptive research design in the project. Descriptive research is being used by the proponents to describe the assessment of the respondents in the security of an information.
THE IMPACT OF REMUNERATION ON SALES TURNOVER IN DUBAI’s AUTOMOTIVE AFTERMARKET: POST COVID-19

The global Automotive Industry generated revenue worth 2.5 trillion USD in 2020 and is expected to reach 2.8 trillion USD in 2022. In this, the contribution from the Automotive Aftermarket sector (AA) was 392.35 billion USD and it is predicted to cross 525 billion USD by 2028 (Research and Markets, 2021). The AA of Western countries and the Asia Pacific is studied exhaustively while little attention is paid to the Gulf region. The AA of the United Arab Emirates (UAE) is the fastest growing market with a 14.8% CAGR from 2020 to 2025, led by Dubai. By 2025, it is expected to reach 634.4 million USD (Prescient and Strategic Alliance, 2021). However, like other sectors, the AA experienced the Covid-19 rage in 2020 with a high impact on sales and employees. The decline in consumption of light vehicles during the pandemic and the shut down of business-to-customers trade counters reduced the revenue, forcing small and medium enterprises to reduce employees‟ costs (Laborda &amp; Moral, 2020). The salesforce in the AA sector also experienced reductions in their monthly salaries, commission rate and other benefits (O‟Donnell &amp; Marsh, 2022). However, the market condition improved in 2021 as UAE‟s AA witnessed an increase in revenues. According to the Automechanika Dubai 2021report, the AA is expected to boom post-Covid 19, especially due to an increase in customers‟ demand. This can be attributed to UAE‟s 100% residents being vaccinated, Expo 2020 in Dubai, improved foreign relations with Israel and relaxed travel regulations in Dubai (GMI Research, 2020). Following the role played by remuneration in motivating sales employees, it can be anticipated that during Covid-19 sales turnover may have declined and as market conditions improved, the sales turnover and remuneration may also have improved. Keywords: Automotive aftermarket, Remuneration, Sales turnover, Covid-19
Proof Methods

A mathematical proof is an inferential argument for a mathematical statement showing that the stated assumptions methodically and logically lead to guarantee the conclusion. The focus of this chapter is on proof methods, noting that every statement that is not an axiom or definition needs to be proven. The proof methods discussed are proofs of equivalence, proofs by counterexample, vacuous proofs, trivial proofs, direct proofs, proofs by contraposition, proofs by contradiction, proof by cases, proofs by exhaustion, constructive proofs, nonconstructive proofs, proof of a disjunction, and uniqueness proofs. Note that each type of proof is accompanied by a variety of examples.
Induction

Induction is a very powerful method of proof by which a host of true mathematical claims can be validated. However, it is not a tool for discovering claims or deriving formulas. First the focus is on inductive reasoning as well as reasoning. Then mathematical induction is introduced as how the basis step and inductive step must be proven. A wide array of applications of mathematical induction, including summation and product formulas, inequalities, divisibility, regions in plane geometry, and set identities is detailed. Finally, the strong mathematical induction and well-ordering principle are discussed.
An optimal coupling incentive mechanism concerning insider's compliance behavior towards marine information security policy

It is widely agreed that the insider's noncompliance to the marine information security policies has brought about a major security problem in the organizational context. Previous research has stressed the potential of remunerative control, i.e., reward, to better understand this problem. Few studies have been devoted to the exploration of the coupling incentive mechanism of tangible and intangible rewards that would induce insider's compliance behavior towards the marine information security policy. In the present study, we address this research gap by proposing a theoretical model that explains the optimal coupling incentive mechanism of these two different types of remunerative control. Our findings have delivered insightful implications for practice and research on how to improve the marine information security policy compliance in a more subtle way.
Discrete Probability

Noting probability is a numerical measure of how likely an event is to occur or be the case, this chapter is on discrete probability. First the relevant terminology is introduced. Next, all three axioms of probabilities and important corollaries, as well as the joint probability and conditional probability, are all presented. Then the two major concepts of statistically independent events and mutually exclusive events are discussed. The focus turns toward the detailed description of the law of total probability and Bayes’ theorem. Finally, some important applications in probability, including systems reliability, medical diagnostic testing, quality control using Monte Carlo algorithm, and Bayesian spam filtering, are discussed.
Trees

Trees are the most important class of graphs. This chapter briefly discusses the fundamentals of trees. First the focus is on basic definitions and terminology relevant to trees. Then various traversals (preorder, inorder, and postorder) and various notations (e.g., prefix, infix, and postfix) are introduced. Next we discuss two algorithms to find a spanning tree in a connected graph, namely, the depth-first search and the breadth-first search. Later the focus turns toward Prim’s algorithm and Kruskal’s algorithm, which can construct a minimum spanning tree in a connected graph, where each adds an edge with the smallest weight to the current configuration based on only local information. Finally, some interesting applications of trees are discussed, such as magic square and Huffman coding.
Latitude

Research Article| May 01 2022 Latitude D. M. Aderibigbe D. M. Aderibigbe D. M. Aderibigbe is from Lagos, Nigeria. His debut book of poems, How the End First Showed (2018), won the Brittingham Prize in Poetry and a Florida Book Award, and it was the finalist for the Glenna Luschei Prize for African Poets. He has received fellowships from the Sewanee Writers’ Conference, James Merrill House, OMI/Ledig House, Ucross, Jentel, and Boston University, where he earned an MFA in creative writing. His poems have appeared in The Nation, Callaloo, jubilat, and New American Writing, among other publications. He is currently a PhD student in English at Florida State University. Search for other works by this author on: This Site Google the minnesota review (2022) 2022 (98): 44. https://doi.org/10.1215/00265667-9563793 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation D. M. Aderibigbe; Latitude. the minnesota review 1 May 2022; 2022 (98): 44. doi: https://doi.org/10.1215/00265667-9563793 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2022 D. M. Aderibigbe2022 Article PDF first page preview Close Modal You do not currently have access to this content.
Enhancement of collaborative filtering using myers-briggs type indicator (mbti) applied in recommendation system

Collaborative filtering is one of the most popular recommender systems being used today. Collaborative filtering algorithm depends on the association of one client's activity with another client's activity to discover his nearest neighbors. Related items are expected to be recommended according to his neighbor's similar interests or inclinations. Collaborative filtering algorithm deals with a major problem called the new user challenge or also known as the ‘cold-start’ problem that arises due to the lack of enough information about the new-coming user. The authors have employed an enhanced collaborative filtering algorithm by incorporating Myers-Briggs Type Indicator or MBTI. With the means of identifying each users MBTI personality types to create neighbourhoods, the researchers have alleviated the problem on the lack of similarities between inexperienced users to existing users. In addition, the system can predict new user ratings for each item using the average rating of users in the same neighbourhood. After predicting the rating, the item with the highest rating is recommended to inexperienced users, which provides a solution to the ‘cold-start’ problem
Capabilities of computer algorithm like human brain utilizing artificial neural networks: a task

Input and output appear to be how computer algorithms work. We take input and apply each step of the algorithms to it in order to get an output. The input leads to progress and questions that must be addressed in a timely manner. The output is the created result when each stage of the flowchart has been completed.The Central Processing Unit (CPU) is the computer's brain. A CPU accepts data, executes instructions, and interprets information, and we can conceive of it as a decision-maker similar to the human brain. The context of real-world situations is interpreted in a way that computers cannot. Neural Networks are being developed to address the problem. They are a series of algorithms that have been designed to recognize patterns and are modeled after the human brain. They use machine perception, tagging, and raw data creation to interpret sensory neurons. ANN is the answer to making communications more human-like and allowing ANN to reason like humans. It was inspired by the evolution of the brain. A computer architecture in which many processors connect neurons in a human brain, allowing it to learn by processing one item in another until it succeeds. The brain's interconnected cells act similarly to computer-programmed Artificial Neural Networks.
Policy Research on the transformation of scientific and technological achievements in Colleges and Universities —Based on International Comparison and Chinese practice

Serving for economic development is the basic function and important task of higher education in the new era. Doing a good job in the transformation of scientific and technological achievements in Colleges and universities is conducive to promoting national technological innovation and industrialization. The successful transformation of scientific and technological achievements in Colleges and universities needs corresponding policies to guarantee. In this paper, through the perspective of the policy research on the transformation of scientific and technological achievements in Colleges and universities, we summarize and analyze the policies on the transformation of scientific and technological achievements in Colleges and universities in developed countries and China, find out the problems in related fields in China, and put forward some suggestions on improving the policies on the transformation of scientific and technological achievements in Colleges and universities in China.
Graphs

Graphs are concerned with networks of points connected by lines. This chapter briefly discusses the fundamentals of graphs. First the focus is on basic definitions and terminology relevant to graphs, such as vertices, degrees, edges, size, and order. Then various types of graphs are introduced, namely, complete, cycle, star, wheel, linear, and grid. Edge list and adjacency list, adjacency matrix and incidence matrix, and the concept of isomorphism are presented. Various types of connectivities and circuits are then introduced. Finally, Dijkstra’s algorithm to solve the shortest-path problem is detailed.
Recursion

Recursion is the process of defining a problem or the solution to a problem in terms of a simpler version of itself. Recursion is used in a variety of disciplines and is a powerful problem-solving technique because many programming languages support it. The focus of this chapter is on some basic aspects of recursion. After a brief discussion on sequences, recursively defined functions and recursive algorithms are presented. Next, solving recurrence relations first by iteration and then using generating functions are introduced. Finally, solving linear homogeneous/nonhomogeneous recurrence relations with constant coefficients are discussed.
Surface figure metrology based on geometric phase components

A geometric phase component is very attractive in optical metrology because its meta-surface characteristic enables traditional optical systems to be more compact and multi-functional. In this presentation, we introduce two types of geometric phase components, i.e. a geometric phase lens and a polarization grating in surface figure metrology. Their features of polarized beam splitting and phase retardation play a role of wavefront shearing device, and simple shearing interferometers can be designed. We focus on the instrumentation of a radial shearing interferometer using a geometric phase lens and a lateral shearing interferometer based on a polarization grating. With the aid of a polarization pixelated CMOS camera, each interferometer can provide the phase map corresponding to the sheared wavefront as a snapshot measurement. In the experiment, various wavefronts generated by a deformable mirror and shapes of several mirrors were measured and compared with other commercial devices.