Reviewerly/exHarmony huggingface dataset:
Calculation of harrington function (desirability function) values under interval determination of its arguments

Purpose of work. Development of proposals for desirability function calculation by interval arithmetic method. Obtained results. A connection was shown between multiple-criterial (vector) optimization problem and calculation of Harrington function (desirability function) values. Generalized desirability function was shown to be treated as a multiplicative convolution of partial desirabilities. Using golden section properties, a connection was discerned between hierarchy analysis methods and calculation of desirability function values. In this case the distribution of probable desirability function values among intervals determined in accordance with golden mean rule does coincide with values obtained by expert method. Application of golden proportion enables increasing the number of intervals; thus, it may prove convenient in improvement of Harrington function sensitivity. Conclusions. For partial desirability function in its explicit form such geometric characteristics were determined as values of tangent, curvature of curve and center of curvature coordinates. For a necessary averaged desirability system obtaining process control, such characteristics were determined in general and explicit form as partial desirability elasticity, generalized desirability elasticity relative to partial desirability, generalized desirability elasticity relative to a variable that has physical sense and respective dimension depending on particular subject area and affects partial desirability value. To determine the boundary value of one partial desirability being substituted for another partial desirability, the rate of substitution function and boundary rate of substitution elasticity function were established. Due to errors emerging in determination of desirability function values application of interval analysis methods was proposed. Application of interval numbers as presented in hyperbolic form was shown for calcutaion of partial and generalized desirability, A partial power series sum was determined relative to a variable presented in hyperbolic form. Suggestions. The method of calculation of Harrington function (desirability function) values at interval determination of arguments was shown to be eventually used in development of specifications and preliminary design of complicated engineering аnd organizational systems.
Detection of Lung Cancer Cells Using Inception V3 Model

Lung Cancer is a dangerous disease which is caused by consumption of tobacco and other pollutants it is very hard to predict. But in this era of technology, prediction of lung cancer is possible with the help of machine learning and deep learning algorithms. According to the surveys the survival rate of patients that are affected by cancer is very low, it is because of lack of prediction of cancerous cells in earlier phase. In this Project we use CT(Computed Tomography) scan images of malignant, benign and normal cases are taken in the dataset to classify them as cancerous and non-cancerous images with the help of CNN family Algorithm, i.e, Inception V3 Algorithm. The CT scan images are preprocessed with the help of image preprocessing techniques such as image warping and image cropping. After the preprocessing of the CT images the images are processed with Inception V3 Algorithm, the image dataset is trained under Inception V3 Algorithm of deep learning technique and under the range of 10 epochs the best accuracy the algorithm has provided is 97%. Many Machine Learning Algorithms are used to classify the images such as SVM, CNN, etc. But under deep learning technique the inception V3 algorithm has provided the best accuracy so far. Keywords— CT Scan Images, CNN Algorithm, Cancer Nodules, Malignant cases, Benign Cases, Normal Cases, Inception V3 Algorithm, SVM Algorithm, Image Warping and Image Cropping.
The Development of Learning Experience Provision Models That Synergize the Knowledge of Suan Dusit University to Enhance Proper Development of Young Children

This research article aims to 1) determine the knowledge and experience of early childhood education of Suan Dusit University, and 2) develop and study the effectiveness of learning experience provision models that synergize the knowledge of Suan Dusit University to enhance the proper development of young children according to the 75/75 criteria. Data is obtained from personnel of 87 various agencies of Suan Dusit University, e.g., deans, directors, managers, chairpersons of programs, heads of departments, and 129 students in kindergarten 1, 2, and 3 of La-orutis Demonstration School, Suan Dusit University. The research results consisted of 15 learning experience provision models for young children, such as gravity-powered toys, battery-powered toys, the differences between a toy using force and a toy using a battery, toy caring, and how to play with toys, etc. Every learning experience provision models has a performance rating according to the 75/75 criteria.
PENGEMBANGAN BAHAN AJAR DIGITAL BERBASIS KOMPETENSI BERORIENTASI PRODUKSI PADA MATA KULIAH DASAR FOTOGRAFI MENGGUNAKAN APLIKASI SIGIL

Learning activities in the Fundamentals of Photography course which have been running so far have experienced several obstacles including the absence of teaching materials specifically designed to be effective, efficient, and attractive in learning. Some basic photography material should be carried out in practice, but in reality, it must be delivered in theory given the limited time and learning resources and the low learning outcomes and results of student creativity in the field of photography which does not meet the standards for completeness assessment. To overcome these problems, competence-based and production-oriented digital teaching materials are developed which are valid and suitable for use in learning activities as well as for student self-study. This research is a type of development research using the Dick and Carey model with the final product being a digital textbook developed with the help of the Sigil application. The approach used is a competency-based and production-oriented learning approach. Before testing D3 Multimedia Computer STT STIKMA Internasional student, validation was carried out on material experts and media experts, which were then corrected according to the expert's assessment. Data from the trial results during implementation activities in learning were analyzed using descriptive statistics and questionnaire calculations from respondents using criteria from the Likert scale. Indicators of success and feasibility of measuring digital teaching materials are assessed from the feasibility of content, presentation of content, language, graphics, and assessment at the end of learning activities. The results of validation by experts and trials on students show that basic digital photography teaching materials have the feasibility and validity to be used as a supplement in facilitating student learning and practicum learning while taking photography basics courses.
Utilization of Sky Map Application in Astronomy Learning of Celestial Coordinates to Improve Students’ Understanding of Concepts and Digital Literacy for Physics Education Students

Using the Sky Map application in astronomy learning of celestial coordinates is intended to analyze students' level of understanding of concepts and digital literacy. Students' understanding of concepts and digital literacy was measured through tests and questionnaires. The research was focused on students who took astronomy courses in the physics department of Semarang State University, totaling 40 students. The type of research used is quantitative research. The research design carried out was pre-experimentation with one group pretest-posttest. There are two variables used, i.e. the use of Sky Map application media as the independent variable, and the improvement of the understanding of the student concept as the dependent variable. The analysis using the Wilcoxon signed rank test showed a significant increase in students' conceptual understanding after using Sky Map application media in learning with an N-Gain of 0.21, and digital literacy in the use of Sky Map application media has attained 83.47% (excellent). Therefore, it can be concluded that the use of Sky Map application media in celestial coordinates can help students understand the concept of the material as well as increase their digital literacy skills.
A calculus for intuitionistic fuzzy values

We introduce calculus and calculus for intuitionistic fuzzy values and prove some basic theorems by using multiplicative calculus which has useful tools to represent the concepts of introduced calculi. Besides, we construct some isomorphic mappings to interpret the relationships between calculus and calculus. This paper reveals also new calculi for fuzzy sets in particular.
Virtual Services in the Health Sciences Library: A Handbook

Health sciences libraries serving universities and medical facilities have long used technology to provide library services, but COVID-19 presented libraries with unique challenges. Libraries shut their doors and adapted to conducting reference, instruction, and outreach, remotely. For some libraries described in Virtual Services in the Health Sciences Library: a Handbook, those services had been done in the library; for others, the library had considered adding virtual services. For those libraries that have not made the jump, this text presents strategies to which all health sciences libraries would find a useful reference. Given its practical strategies and engaging text, this reviewer finds Virtual Services in the Health Sciences Library: a Handbook to be an inspiring and a highly recommended reference for health sciences libraries.
Integrating open science education into an undergraduate health professional research program

Open science (OS) is a global movement focused on improving research equity, reproducibility, and transparency of research outputs in publicly funded research. While OS education in academia is becoming more common, examples of health sciences librarians providing OS training are not. This paper describes how a librarian collaborated with teaching faculty and a research program coordinator to integrate an OS curriculum into an undergraduate professional practice course and assess students' perceptions of OS after participating.A librarian developed an OS-specific curriculum for an undergraduate professional practice course in Nutrition. This course is part of the First Year Research Experience (FYRE) program, which is integrated into 13-week undergraduate courses to introduce students to core elements of the research process in their first year of study by carrying out a research project. The OS curriculum included an Introduction to OS class, a requirement that students share their research outputs in the Open Science Framework, and an assignment asking students to reflect on their experience learning about and practicing OS. Twenty-one of 30 students consented to having their reflection assignment undergo thematic analysis.Students indicated transparency, accountability, accessibility to research outputs, and increased efficiency as positive attributes of OS. The time commitment, fear of being scooped, and concerns over having research be misinterpreted were considered negative attributes. 90% (n=19) of students indicated that they intend to practice OS in the future.Based on strong engagement from the students, we believe that this OS curriculum could be adapted to other undergraduate or graduate student contexts where a research project is required.
A virtual research showcase and judging platform created from a patchwork of workplace applications

Despite the challenges the COVID-19 pandemic placed on libraries' existing workflows and operations, many librarians developed and debuted new services that addressed novel needs that emerged during the pandemic. This report describes how two electronic resource librarians at regional hospitals within a healthcare corporation used exhibition platforms to showcase resident research in an online format as a complement to in-person resident research programming.Over the course of the pandemic, two exhibition platform variants were implemented, one year apart. This case report describes how each platform was developed. The first online event was conducted using a virtual exhibit platform to minimize in-person contact. The second online event, held the following year, blended a traditional live event with virtual elements using the online exhibit platform. To ensure completion of tasks, project management techniques were adopted throughout the event planning process.The pandemic created opportunities for hospitals to explore transforming meetings from primarily live and onsite into hybrid and fully virtual events. While many corporate hospitals have transitioned back to primarily in-person programming, newly adopted online practices such as online judging platforms and automation of continuing medical education tasks will likely remain. As in-person restrictions within healthcare settings are lifted or eased at uneven rates, organizations may continue to explore the value of in-person meetings versus the video conference experience of the same meeting.
Video Quality Assessment System using Deep Optical Flow and Fourier Property

Abstract Providing high-quality video content is critical in various fields such as VFX film, media facade, digital signage, product promotion, and interactive content, as it enhances the viewer's visual experience. Quantifying the visual quality of videos is crucial in determining their pricing. Subjective quality is the most crucial feature in video quality assessment, although other factors also play a significant role. While fully automated video assessment is convenient, there are instances where engaging with an editorial specialist is necessary to assess subjective quality. Our focus was on the most common scenarios that affect video quality, namely irregular camera movements and incomplete focusing. To quantify irregular camera movement, we employed a deep learning-based optical flow estimation method, and to measure incomplete focusing, we used a blur detection algorithm based on Fast Fourier Transform (FFT). We also proposed an adaptive threshold that utilizes statistical techniques to classify good and bad scenes. In our experiments, we applied this system to videos from various domains, and it successfully quantified video quality using a reasonable threshold.
Webpage Classification Using Ensemble Machine Learning

These days, it is not easy to get the correct information after typing a keyword into a search engine because so many results are returned. Classification of Web pages is a technique that helps us locate the wanted information quickly and effectively. In addition, website categorization is crucial for businesses that provide marketing and analytical solutions because it enables them to create a well-balanced mix of search engine and directory listings. This will give marketers a better idea of where their local company listings appear online, allowing them to have more judgment about initiative and strategy. Therefore, the research aimed to construct a classification system based on a dataset of English web pages. This information has been acquired from the Kaggle website and consisted of 1408 distinct rows organized into 16 categories. The research has employed mixed strategies to determine which strategy for Web page categorization would yield the best results. The first strategy puts into practice a collection of machine-learning algorithms. It assesses how well they accomplish the given classification task. Ensemble stacking is the second strategy, and it is employed to enhance the classification of websites. Comparing the results of the two strategies reveals that Ensemble stacking, the second strategy, was the more influential architecture for classifying web pages this approach had 0.95 F1-score, 0.95 accuracy, 0.95 precision, and 0.95 recall achieved by this method. The first approach, which made use of machine learning techniques, on the other hand, received an F1-score of 0.93, 0.94 for precision, 0.93 for recall, and 0.93 for accuracy.
Supplementary material to "A critical evaluation of decadal solar cycle imprints in the MiKlip historical ensemble simulations"

Supplementary Figure 1: Lead/lag-correlations between the bandpass filtered (December, January, February) NAO (PC1) and SSN time series.For the HadSLP2 dataset and the ensemble mean over the MPI-ESM-HR historical simulations (top row) and the individual MPI-ESM-HR historical runs (rows 2 to 6). Green dots mark statistically significant (95%) correlations.
The Adaptation of MAIN to Luganda

The present paper reports on how the MAIN instrument was adapted to Luganda, a Bantu language spoken in Uganda, for assessing the narrative skills of Luganda-speaking children. The adaptation involved recommendations for cultural adaptations of the picture sets and translation of the manual into Luganda. The paper also describes the first (pilot) study using the Luganda MAIN, and how the bureaucratic, linguistic, and technical challenges along the way were dealt with. In addition, preliminary results are reported and discussed, followed by some conclusions and suggestions for future research.
The Importance of Integrating Effective Teaching Methods in Business English Classroom

The paper highlights the importance of integrating effective methods in teaching English for Specific Purposes, in particular Business English. According to the survey, which includes the contribution from 48 BE instructors worldwide, the article demonstrates the significance of lexical approach, task-based and project-based learning by evaluating the outcomes of integrating them in teaching practice and beyond. The results once again confirmed the hypothesis that task-based learning, lexical approach and project-based learning are the most effective teaching methods in BE classroom. The survey consisted of both open and close-ended questions and aimed at voicing the opinion of BE Course Instructors globally. The target audience was exposed to the above-mentioned teaching methods. At the same time, the survey provides recommendations for novice BE Lecturers on how to ensure maximal approximation to the authentic environment via practicing most useful teaching methods and making the learning process more result-driven, engaging and enjoyable.
An Attention-Erasing Stripe Pyramid Network for Face Forgery Detection

Abstract ace forgery detection aims to distinguish between real and fake facial images or videos by identifying manipulated or forged visual media. The main challenge in face forgery detection is achieving high model generalization ability, i.e., satisfactory performance under cross-database scenarios where the training and testing datasets are from different forgery methods. To achieve this goal, this paper presents an Attention-Erasing Stripe Pyramid Network (ASPNet) to utilize high-frequency noises and exploit both the RGB and fine-grained frequency clues. First, since separately extracting features from different scales and granularities will ignore their complementarity, we employ a Stripe Pyramid Block (SPB) to learn multi-scale and multi-granularity features simultaneously. Second, to make the model to focus on useful information and suppress noise, a Two-Stage Attention Block (TSAB) is introduced by combining spatial attention and channel attention to filter out the pixel-wise and channel-wise noise in the learned feature maps. Finally, to dynamically guide the model to pay attention to different areas of the human face, an Attention Erasing (AE) scheme is adopted by randomly erasing units in attention maps. Sufficient experiments demonstrate that ASPNet has superior performance than F 3 -Net on the FaceForensics++ dataset. The Area Under the Receiver Operating Characteristic Curve (AUC) and the Accuracy (ACC) of our model reach 77.4% and 70.85% respectively, whichare improved by 0.83% and 1.28% compared with F 3 -Net. Our code is available at: https://github.com/NWPU-Zwu.
Developing Android-Based Teaching Modules Using MIT App Inventor

Using android-based in the process of teaching and learning is one of attempts in elevating education quality. However, some teaching and learning sources are still paper based. This study was conducted to develop android-based teaching module for academic reading students in English Education Department. Applying RnD as research design, the researcher did data collection, preliminary study, need analysis, product construction, product implementation, evaluation, and product revision. The subject of this study is fourth semester students of IAIN Kediri majoring academic reading. After analyzing student's need and syllabus, the researcher designed the module three levels of exercise: easy, medium, and hard. This is aimed to know that the student’s proficiency is surely improved. The module was developed using MIT App Inventor. After that, the product was validated by expert and implemented on students. The result shows positive response. In summary, the android-based module for academic reading is appropriate to facilitate students in learning English for academic purposes, especially reading.
Multi-layer Anti-Theft System with an Intruder System

Abstract: People are more concerned about the safety of their valuables like jewelry, money, important documents, etc. which is why safe deposit boxes are the safest place to keep them. The advent of rapidly growing technologies enables users to operate high security systems with electronic identification options. In this work, a design of a multilayer security system is proposed. The safety concern parameters like user password, RF identification, and fingerprint recognition, use of one time password and a motion detection and alert system are in place. An email notification of the motion detection image near the safe may also be received by a user. Our system may be considered as a useful multi layered security anti-theft product.
Pedagogical Activity of Music Teachers (With Knowledge of the English Language) in the Conditions of Distance Form of Organizing the Educational Process

Currently, the necessity to establish effective forms and methods of learning in a distance format is gaining particular relevance in the field of musical art development. They will allow for maintaining the quality of the educational process and ensuring the quality of students' musical activity and their acquisition of skills in practical classes. Taking into account the above, the music teacher's goal nowadays is to determine the most effective educational platform with minimal audio and video lag and to organize work in a remote format to ensure a sufficiently high-quality educational process. The purpose of the academic paper is to highlight the primary directions and tendencies of investigating issues in the scientific literature related to teaching musical art in the conditions of distance learning. In the course of the research, system-structural, comparative, logical-linguistic methods, analysis, synthesis, induction, and deduction were used to process scientific information. Abstraction and idealization were applied to study and process statistical and analytical data. Based on the research results, the concepts and components of music teachers' remote pedagogical activity, the main prerequisites, regularities, and directions of developing training in the field of music education in recent years were studied. The conducted research has shown that the students-musicians' attitude to distance learning is ambiguous, which is related to difficulties in forming practical skills. However, nevertheless, it is possible to get a positive result in the practical experience formation in this field under the condition of increased responsibility on the part of the teacher and making relevant efforts on the part of the education seekers.