Reviewerly/exHarmony huggingface dataset:
Liver Tumor Image Enhancement and CDK1 Gene Mutation Prediction Method

Liver cancer is one of the most common malignancies, which has extremely high mortality rate. Gene sequencing can reveal genetic variants of hepatocytes. The CDK1 gene has the potential to target anti-tumor. Therefore, the prediction of CDK1 gene mutation is of great significance for the diagnosis and treatment. In this paper, a new method for predicting CDK1 gene mutation is proposed. A novel tumor image enhancement converts the CT images into low-exposure images, high-exposure images and tumor detail-enhanced images. These images are effective to enhance interstitial and necrotic area, tumor parenchyma, tumor texture and edge features, respectively. CDK1 gene mutation prediction is modeled with deep neural network. A multi-strategy fusion loss function, which solves the imbalance of sample categories and hard samples, is used to improve the prediction performance. Comparative experiments are designed to verify the effectiveness of the proposed methods. The CDK1 gene mutation prediction after enhancement improves the accuracy of the classifier, which was 0.2 higher than others. The model with multi-strategy fusion loss function outperformed 0.116 in AUC than compared loss function. The proposed enhancement method is capable to improve the performance of classification. The multi-strategy fusion loss function comprehensively improves the indicators of the classifier.
Action Sequencing in VR, a No-Code Approach

In many domains, it is common to have procedures, with a given sequence of actions to follow. To perform such procedures, virtual reality is a helpful tool as it allows to safely place a user in a given situation as many times as needed, without risk. Indeed, learning in a real situation implies risks for both the studied object – or the patient – (e.g. badly treated injury) and the trainee (e.g. lack of danger awareness). To do this, it is necessary to integrate the procedure in the virtual environment, under the form of a scenario. Creating such a scenario is a difficult task for a domain expert, as the coding skill level needed for that is too high. Often, a developer is needed to manage the creation of the virtual content, with the drawbacks that are implied (e.g. time loss and misunderstandings). We propose a complete workflow to let the domain expert create their own scenarized content for virtual reality, without any need for coding. This workflow is divided in two steps: first, a new approach is provided to generate a scenario without any code, through the principle of creating by doing. Then, efficient methods are provided to reuse the scenario in an application in different ways, for either a human user guided by the scenario, or a virtual actor controlled by it.
GRAPH-POWERED RECOMMENDATION ENGINE IN MOVIE RECOMMENDER SYSTEM

Usually, people will search on the Internet for movie that they want to watch. However, it is tedious to find and choose movie that matched with their preferences due to a lot of information on the Internet. Therefore, most of the movie portals are adopting recommendation engine to filter and display userÂs personalized content. In this paper, MyRecMovie is presented to recommend movies by using graph-powered recommendation engine. MyRecMovie adopts content based (CB) and collaborative filtering (CF) approaches with then further enhance the recommendations with graph-powered recommendation engine to provide movie recommendations to the user.
Research on SKINNY Optimal Differential Trail Search

SKINNY is a tweakable lightweight block cipher algorithm. In order to test its security, this paper performs optimal differential trail search analysis on all SKINNY-64 versions under single-key setting based on the MILP (Mixed Integer Linear Programming) algorithm. Firstly, SKINNY round function is abstracted equivalently by precise constraints, and the objective function is set as the minimum number of active S-box number to optimize SKINNY-64 MILP model. Experiments show the differential trail searched by this method is not necessarily optimal. In order to directly search for the optimal differential trail, the S-box differential probability coding information is added to the optimized SKINNY-64 MILP model, the S-box differential characteristic is reconstructed, and the objective function is set to the minimum value of the probability coding information, which improves the SKINNY-64 MILP model. The results of experimental show that the improved MILP model can directly search for the optimal differential trail, and the complexity is slightly increased, but the search efficiency is significantly improved. Under single-key setting, this method has obvious advantage in searching the optimal differential trails of SKINNY-64 with low round number.
Interactive Learning Medium Development for Learning Hiragana and Katakana

The ability of college students in X university to use Hiragana and Katakana letters is still weak due to the lack of practice in reading and using these letters in a word/sentence. The ability to use Hiragana and Katakana letters is not only about the ability to understand the order of writing and the differences in the strokes, but also to use Hiragana and Katakana in words/sentences. This research was a descriptive study using R D design based on the Four-D Model. In this study, three stages were carried out out of the four stages of the model. Questionnaires and interviews were used in this study as a method of data collection. Interviews also conducted to determine the needs of teachers and students, while questionnaire was used for expert judgement (expert appraisal) process consisting of learning media expert judgement and content expert judgement. The questionnaire data were analyzed descriptively to determine deficiencies in the media created. After going through the improvement phase, then a limited scale trial was conducted on 26 students. From the questionnaire data on the interactive media produced, it is known that overall, the media produced received excellent responses from students, wherein each assessment indicator also received a positive response as well. However, further studies are needed to find out how to implement the interactive media of Hiragana and Katakana in the learning process directly inside the classroom.
DEVELOPING CREATIVE PERSONALITY IN FUTURE LECTURERS IN PROFESSIONAL EDUCATION (OCCUPATIONAL SAFETY AND HEALTH) IN THE CONTEXT OF RESEARCH ACTIVITIES DURING PROFESSIONAL TRAINING

The article deals with the issues of developing creative personality in future lecturers in professional education (occupational safety and health) in the context of research activities during professional training. The article proves that the development of creative personality expands the limits of students’ learning and research activities. Professional pedagogical training of future lecturers in professional education (occupational safety and health) for research and creative activities contributes to developing new knowledge and skills in the organization of research in accordance with professional qualities of lecturers. Based on the analysis of scientific sources, the concept of creativity in future lecturers in professional education (occupational safety and health) is regarded as a comprehensive activity and development of something new, which is the opposite to a stereotyped pattern activity, and shapes creative imagination characterized by the high level of creativity, pronounced personal qualities and сapacity for creative and research activities, which contribute to effective professional performance. The readiness for research activities in future lecturers in professional education (occupational safety and health) is defined as the result of professional training and a qualitative characteristic of their creative activities based on relevant abilities and skills required to conduct research activities and projects, which allow them to use the acquired skills when conducting scientific research due to the well-developed theoretical foundations of the essence and content of the research process. The article shows that research activities are a powerful mechanism for developing creativity in future lecturers in professional education (occupational safety and health) and one of the main objectives of higher education in accordance with the new requirements of society for professional training of specialists able to solve professional and research tasks independently, actively and creatively.
Neuroevolution with NEAT

NEAT is an algorithm that builds neural networks following an incremental and evolutionary process. It uses a genetic algorithm to evolve networks. In the very early generations, neural networks are very simple, composed of a few nodes and connections. However, complexity is added in each generation. NEAT supports a number of mutations, and these mutations may add new nodes or new connections. As such, networks can only become more complex over time.
Meningkatkan Kemampuan Membaca Awal Melalui Media Papan Flanel Pada Anak Usia 5-6 Tahun Di Tk Negeri Pembina Kecamatan Pelangiran Kabupaten Indragiri Hilir

Early Childhood Education Teacher Education Study ProgramFaculty of Teacher Training and Education University of RiauAbtrak: The place of research conducted at TK Negeri Pembina Pelangiran Sub-district Indragiri Hilir Regency. This research begins with observation and preparation. This is done with the aim to know the situation and condition of learning outcomes early reading of the child as a subject of research, In addition in Pre-action activities, researchers provide early tests to students. Pre Action is done to determine the initial ability of the learners.Based on the result of the research, the ability of reading result of early child in Kindergarten Pengina Kecamatan Pelangiran Indragiri Hilir Regency on the initial observation on the indicator to know the pattern ABCD-ABCD total score 40 with percentage 50% enter in MB category, on indicator mention symbols of letters known number of score 40 with the percentage of 50% entered in the MB category, on the indicator recognize the sound of the initial letter of the name of objects in the surrounding number of scores of 40 with a percentage of 50% entered in the MB category, on the indicator mentioned group of images that have the same initial sound / letter The number of scores of 32 with percentage of 40% entered in the MB theory, the indicator to understand the relationship between the sound and the form of letters obtained the number of scores 31 with percentage 38.75% entered in the MB category, the self-reading indicator obtained the number of scores 30 percentage 37.5 % Entered in the MB category and on the indicator of the child able to write his own name obtained the number of score 29 de With 36.25% percentage included in MB category. Overall, the total score of 242 with the average percentage of 43.21% entered in the MB category.From the calculation of data analysis of the increase that occurred from pre-action to cycle I is 34%, from cycle I to cycle II is 42% and from pre-action to cycle II is 90%. Here it is seen that the increase is quite significant and does not need to be continued in cycle III.Keywords: Initial Reading, Flannel Board
Ian Amos Komensky and Seneca: the genesis of the philosophical and educational project

The article discusses the significance of the heritage of Seneca for the genesis of the philosophical and educational project of Jan Amos Komensky, which he called Pansophia. On the basis of terminological analysis and a comparative method, the main positions, terminological preferences and the meaning of Komensky’s creative development of the philosophical experience of this particular ancient author are revealed. In Komensky’s educational project, the ancient tradition introduced by Seneca is renewed in a new form - the humanistic ideal becomes the core of the didactic concept. Komensky’s project combined the theory and practice of human education, focused on a philosophical understanding of his nature.
Research Guides: Marketing: Industry Research

Access NYU Libraries' marketing and advertising resources. Access library resources for industry research.
LibGuides: Library Policies : Home

Writing library policies and procedures is an important task, but is often at the bottom of a busy library board's to-do list. This guide is designed to provide some sample policies, along with resources to make the process a little faster and easier. Thi
LibGuides: Introduction to Comics for Adults: Where Should I Start?: Author Spotlights

The world of comic books can be intimidating. This guide outlines various notable works, databases, and other resources to help you feel more confident the next time you enter a comic book shop or graphic novel section of your local public library.
An Algorithmic Analysis on Load Balancing and Workflow Scheduling in Cloud

Cloud computing is a paradigm for facilitating omnipresent, comfortable, on-demand network access to shared provisions of configurable computing resources like servers, applications, networks, and services that can be quickly provisioned and discharged with minimal management effort or service provider intercommunication. Data centers are the set of hosts that runs Virtual Machines. The broker submits the requests which are provisioned to the data centers that submit the task. The task or an application that runs is known as cloudlet. The term “Cloud computing” is to deliver the hosted services on the internet. Each “cloudlet” requires one or more computing resources from the cloud to complete its job. The executions of these sub-tasks use a scheduling algorithm in a particular fashion. Hence, one of the most important issues is that executing a large number of workflow in cloud environment and consumption of resources. The work proposes literature about the scheduling algorithm that resolves the conflict in the allocation of resources and manages the resource provisioning at dynamic to each task in any workflow. This paper proposes an analysis of proposed schemes with different workflow by executing the scheduling algorithm for the cloud workflow. This paper is presented with their objectives, parameters, and limitations and finally concluded with research directions.
Handwritten text pattern recognition

Character recognition from handwritten images is of great interest in the pattern recognition research community for their good application in many areas. To implement the system, it requires two steps, viz., feature extraction followed by character recognition based on any classification algorithm. A convolutional neural network (CNN) is an excellent feature of extractor and classifier. It is having multiple applications fields such as robotics, medicine, and security and surveillance. In this article, CNN is implemented for the NIST dataset with appropriate parameters for training and testing the system. The system provides accuracy of up to 94%, which is better with respect to others. It also takes a very low amount of time for training the system.
An Improved Naive Bayesian Classification Model Based on Attribute Weighting

Abstract Naive Bayesian model has good classification accuracy and efficiency, which makes it show good performance in many fields, especially in data mining and artificial intelligence. However, the traditional Naive Bayesian classification model ignores the attributes’ independence, resulting in the reduction of classification accuracy. For this reason, an improved model based on attribute fusion and weighting(AWNBC) is proposed, in which data fusion is realized by Spearman coefficient and weighting is realized by average confidence and ReliefF coefficient. The experiment classifies the selected data in UCI database. The result of experiments show that the improved classification model has good classification accuracy and efficiency.
Practical Training of Future Social Workers for Social Work with Children with Special Educational Needs in Various Social Institutions

Background:The social work of specialized social institutions that provide services to children with special educational needs (SEN) and their immediate environment is one of the ways to provide resources for this vulnerable contingent in modern society, which requires more effective training of future social workers to implement it.Analysis of the scientific literature and practice of training specialists for social work with children with SEN, showed that researchers have studied the following aspects: features of training social workers to prevent maladjustment of students with special needs (A.Kolupaeva, T. Maltseva, S. Netyosov, others); organization of training of specialists for social and rehabilitation activities with children with health disabilities in their environment (L.Akatov, V. Teslenko, N. Saiko, others); the content of the work of social workers with the families of children with SEN in the system of social assistance institutions (N.Dubrovina, Z. Kiyanytsya, O. Mastyukova, J. Petrochko, others).However, the issue of practical training of future social workers for social work with children with SEN in various social institutions has not yet been fully studied and needs research, so the aim is to determine the content and features of their training for the relevant type of professional activity. Results:Based on the provisions of the Standard for the training of future social workers and taking into account the peculiarities of the educational program "Social Pedagogy" at H. S. Skovoroda KhNPU, we have identified the content and features of their professional training for social work in specialized social institutions of the social assistance system, taking into account the conditions for the development of such important special competencies as: knowledge and understanding of the essence, meaning and types of social work with children with disabilities; its directions (psychological, socio-pedagogical, legal, economic, medical); ability to predict the course of various social processes that affect the development of children with SEN; knowledge and understanding of the legal framework for social work with children with SEN and their environment; ability to analyze sociopsychological phenomena, processes of formation, development and socialization of the personality of a child with SEN; ability to identify, socially inspect and assess the needs of families raising children with SEN; ability to apply modern innovative methods of working with children with SEN and their environment; ability to provide resource assistance and support to children with SEN and their families, taking into account their individual needs, age differences, gender, ethnic and
Sensor-Based Decision Support for the Allocation of Patient Attendants in Hospitals.

In hospitals, patient attendants are often necessary in order to closely monitor patients with high risk of self-endangering actions and reactions. However, such additional monitoring of patients is associated with high costs. In this paper, we describe a technical infrastructure for monitoring the patient's activities, which helps to assess whether an attendant should be requested. It was central to for us to use non-invasive sensors and to exploit a variety of patient data such as heart rate, micro-activity and oxygen saturation.
ANNAPURNA: Diet Recommender System

Grains, non-veg protein sources, vegetables, and fruits are key parts of a good varied diet.They are emphasized in this guideline because they provide vitamins, minerals, complex carbohydrates, proteins, fats, and other substances that are important for good health.They are also generally low in fat (good fats), depending on how they are prepared and what is added to them at the table [2].Thus a recommender system that recommends a good and balanced diet for achieving fitness goals like weight gain or muscle gaining, say fat burning and weight maintenance
Enlightening And Predicting The Correlation Around Deep Neural Nets And Cognitive Perceptions

Recently, psychologist has experienced drastic development using statistical methods to analyze the interactions of humans.The intention of past decades of psychological studies is to model how individuals learn elements and types.The scientific validation of such studies is often based on straightforward illustrations of artificial stimuli.Recently, in activities such as recognizing items in natural pictures, strong neural networks have reached or exceeded human precision.In this paper, we present Relevance Networks (RNs) as a basic plug-and-play application with Covolutionary Neural Network (CNN) to address issues that are essentially related to reasoning.Thus our proposed network performs visual answering the questions, super-human performance and text based answering.All of these have been accomplished by complex reasoning on diverse physical systems.Thus, by simply increasing convolutions, (Long Short Term Memory) LSTMs, and (Multi-Layer Perceptron)MLPs with RNs, we can remove the computational burden from network components that are unsuitable for handling relational reasoning, reduce the overall complexity of the network, and gain a general ability to reason about the relationships between entities and their properties.
LibGuides: Primary Sources for Catoctin Students: Additional CHS Databases

Use the databases and other tools in this guide to serach for and use primary sources in your research.
Libraries: Collection Development for Earth & Environmental Sciences in the Boston College Libraries: Additional Criteria

Criteria for collecting and maintaining materials in the subject area of Earth & Environmental Sciences, with links to general library collection policies.
PRINTED AND ELECTRONIC RESOURCES UTILIZATION BY STUDENTS OF BINYAMINUUSMAN POLYTECHNIC, HADEJIA, JIGAWA STATE, NIGERIA

The study investigated the extent of whichprinited and electronicresources are being utilized by the students of Binyaminu Usman Polytechnic, Hadejia, Jigawa State, Nigeria.The study reveals that the respondents were aware about the availabilityof different type of information resources through orientation programme as well as class room lecture on the introduction on how to use the library.The study showed that traditional resources are more used such as print books, journals, projects, newspapers ,also, electronic resources like internet, e databases etc only 8% used non-print resources like compact disc(CD) read only memory (CD ROM).Survey research design was used in this study whose population consisted of all registered library users in the 2018/2019 academic session.Accidental sampling technique was used to select 400 respondents out of a total population of 2,667 registered users.Questionnaire was the instrument used for data collection.The data collected was analyzed using descriptive statistics (simple percentage) The study reveals that the students become aware of the library resources and services through the polytechnic effort of introducing library courses, orientation as well as directional signs within the polytechnic.The study further reported varying frequency of used as well as increase utilization as result of electronic resources provided.The major challenges identified are lack of information literacy skills, poor subscription of network.Some suggestions were outlines.
From pages on the fly to workflows in the cloud: evolution of the web architectures

Critical overview of the evolution of Web application architectures with specail emphasis on the new oppoirtunities and the influence of the recent cloud technologies.