Reviewerly/exHarmony huggingface dataset:
Frequency of Rh-e Antigen and reference values of Erythrocyte Sedimentation Rate and Red Cell Indices in an Undergraduate Students’ population in Port Harcourt, Nigeria.

Introduction: Red cell antigens alongside red cell indices provide an essential support to the diagnosis and monitoring of haematological diseases while the erythrocyte sedimentation rate (ESR) indicates and monitor an increase in inflammatory activity within the body. This study aims to determine Rh-e antigen, Erythrocyte Sedimentation Rate and Red cell indices values in apparently healthy undergraduate students of the Rivers State University, Port Harcourt, Nigeria. Material and Methods: One hundred and fifty (150) undergraduate students aged between 17-28years were enrolled in the study and standard venipuncture technique used to collect 5ml of blood. Determination of the Rh-e antigen was carried out using anti-e monoclonal antibodies (Lorne Diagnostics UK), Red cell indices obtained using BC 5000 Mindray Haematology Analyser and ESR by Westergren method. Results: Among the 150 subjects, 130 (86.6%) were positive while 20 (13.3%) were negative for Rh-e antigen. The mean±SD of the mean cell volume (MCV), mean cell haemoglobin (MCH), mean cell haemoglobin concentration (MCHC), red cell distribution width co-efficient of variation (RDW-CV), red cell distribution width-standard deviation (RDW-SD) and erythrocyte sedimentation rate (ESR) were 83.12 ± 10.74, 31.13 ± 3.25, 34.00 ± 3.32, 13.32 ± 1.61, 39.70 ± 2.26 and 30.36 ± 2.15 in the same order, while the reference ranges were 61.64-104.6 for MCV, 24.63-37.63 for MCH, 27.36–40.64 for MCHC, 10.10–16.54 for RDW (CV), 35.18–44.22 for RDW (SD) and 26.06-34.66 for ESR. Gender had no effect on MCV (p=0.3007) and MCHC (p=0.1436) but significant effect on MCH (p=0.030), RDW-CV (p&lt;0.001), RDW-SD (p=0.0005) and ESR (p=0.036) with a perfect positive correlation (r=1) between all the studied parameters. Conclusion: This study revealed a high (86.6%) prevalence for Rh-e antigen, established normal reference ranges for red cell indices and erythrocyte sedimentation rates and showed that gender has significant effects on MCH, RDW-CV, RDW-SD and ESR among healthy undergraduate students of Rivers State University. These findings are of clinical and research relevance.
PENGEMBANGAN BAHAN AJAR E-BOOK MENGGUNAKAN FLIPBOOK PADA SUBTEMA DAERAH TEMPAT TINGGALKU

This research aims to determine the development of E-books using flipbooks in class IV subtheme 2 in the area where I live in class IV at SDN Dewi Sartika, Bogor Regency and to determine the feasibility of flipbook-based E-books in the learning process. The method used in this research is the Research and Development (R&amp;D) method with the ADDIE model. In this research, validation tests have been carried out on several experts in the media, language and material fields to develop and perfect e-book products using flipbooks for students. . The data results from media expert validation were 96%, which means that e-books are very suitable for testing. The linguist obtained a result of 94.54%, which means it was declared very suitable for testing. And based on trials that have been carried out on classIV students, 24 students obtained a score suitable for use in the learning process of 91.11% and trials that have been carried out on teachers amounted to 90%, which means that the E-book product using this flipbook is very suitable for use in the learning
PENGEMBANGAN E-MODUL BERBASIS POWTOON PADA MATA PELAJARAN MATEMATIKA MATERI BANGUN RUANG KUBUS DAN BALOK

This research aims to develop a Powtoon-based e-module for mathematics instruction, specifically focusing on the topics of cube and rectangular prism in the fifth-grade class of SDN Gunung Dahu, Bogor Regency. The study employs a Research and Development (R&amp;D) approach using the ADDIE research model (Analysis, Design, Development, Implementation, Evaluation), which encompasses phases of analysis, planning, development, testing, and evaluation. Data collection involved interviews with fifth-grade homeroom teachers, observations of students, and an analysis of student responses to the developed e-module. The evaluation results from experts in media, language, and content revealed an average final percentage of 95.23%, while students responded positively with an 89.86% approval rate. This research makes a significant contribution to the development of effective and engaging mathematics learning resources, demonstrating the potential of Powtoon-based e-modules as an efficient tool for enhancing students' understanding and interest in the topics of cubes and rectangular prisms.
The Role of the Family in Online Learning on Students' Motivation, Interest and Learning Achievement

This research was motivated by conditions of achievement and the need to learn during dare, the lack of support and motivation given by parents during dare learning made students bored and bored when completing the assignments given by the teacher. Families have differences in viewing education based on the principles they adhere to. The role of parents, apart from raising them, is also to educate and accompany children in any matter, one of which is in dare learning, in dare learning parents act as teachers, facilitators, motivators and directors. The aim of this research is to reveal children's learning conditions and interests, the role of the family as facilitator, motivator and director while studying from home. This type of research uses qualitative research, namely descriptive analysis, where this research uses research full of theory and expert analysis. The data analyzed are the results of interviews, observations and documents using photographic evidence. The data analysis stages carried out were data reduction, data presentation, conclusions and data verification. The subjects of this research were 8 informants, 6 main informants and 2 supporting informants. The results of the research show that the condition of learning achievement is influenced by children's interest in learning, and the role of parents is based on the principles adopted by each family, parents do not fully play a direct role in guiding children in bold learning, as long as bold learning achievement is carried out by teachers and parents work together to determine the abilities and development of students' learning achievements, and based on the grades obtained by students, they are not in accordance with their supposed abilities, where children's learning achievements depend on the role of parents in them, so the role of parents who have ethnic differences greatly influences interest and children's learning achievements in determining children's learning success in learning that is carried out boldly.
Mathematical Models for the Reviewer Assignment Problem in Project Management and a Case Study

Project management is a critical process for every institution and/or organization. This process should be managed as best as possible in order to manage resources and time well and at the same time achieve successful results. One of the reasons that make project management difficult is the increase in project proposals with the increase in reading rates and incentives. The evaluation process of the project proposals includes the assignment of an expert who will evaluate the project. This stage is solved with reviewer assignment problems in the literature. When the literature is examined, it is seen that the general aim of reviewer assignment problems is to maximize the degree of reviewer-project match. This study, in addition to the literature, it is aimed to minimize the evaluation time of the reviewers’ project proposals and to ensure a balanced distribution among the reviewers. When we look at the results of the test problems for this study, which has two objectives, maximum matching degree and minimum evaluation time, it is seen that the objectives have been met. In this way, the assignment, which was made manually and caused a waste of time, was completed in a fair and reliable way.
Breast Cancer Detection in Histopathology Images using ResNet101 Architecture

Cancer is a significant challenge in many fields, especially health and medicine. Breast cancer is among the most common and frequent cancers in women worldwide. Early detection of cancer is the main step for early treatment and increasing the chances of patient survival. As the convolutional neural network method has grown in popularity, breast cancer can be easily identified without the help of experts. Using BreaKHis histopathology data, this project will assess the efficacy of the CNN architecture ResNet101 for breast cancer image classification. The dataset is divided into two classes, namely 1146 malignant and 547 benign. The treatment of data preprocessing is considered. The implementation of data augmentation in the benign class to obtain data balance between the two classes and prevent overfitting. The BreaKHis dataset has noise and uneven color distribution. Approaches such as bilateral filtering, image enhancement, and color normalization were chosen to enhance image quality. Adding flatten, dense, and dropout layers to the ResNet101 architecture is applied to improve the model performance. Parameters were modified during the training stage to achieve optimal model performance. The Adam optimizer was used with a learning rate 0.0001 and a batch size of 32. Furthermore, the model was trained for 100 epochs. The accuracy, precision, recall, and f1-score results are 98.7%, 98.73%, 98.7%, and 98.7%, respectively. According to the results, the proposed ResNet101 model outperforms the standard technique as well as other architectures.
Prediction of the Human Development Index for Equitable Development in West Sumatra Province Using the C4.5 Algorithm

Unequal development in Indonesia can be seen from the Human Development Index. The Human Development Index is a tool used to measure the attainment of the quality of life of a region or country and as material for economic policy on quality of life. It contains components of health level, education level and welfare level. In 2022, West Sumatra Province achieved the 9th highest Human Development Index in Indonesia, namely 73.26, with this figure the West Sumatra Province Human Development Index is above the national average. However, there are still regencies/cities in West Sumatra Province that have achievements below the national average. This factor causes the development conditions in West Sumatra Province to be uneven. Uneven human development conditions will make it difficult for the government to improve Human Resources (HR). In this research, the C45 Data Mining Algorithm was implemented to predict the Regency/City Human Development Index in West Sumatra Province. As is the method of the Central Bureau of Statistics in measuring the Human Development Index, the variables used from the Human Development Index indicators are Life Expectancy, Years of School Expectation, Average Length of Schooling, and Per Capita Expenditures. The Central Statistics Agency data used in this research covers all regencies/cities in West Sumatra during the period 2018-2022. Range levels are grouped into three groups, namely, low, medium, and high. Based on testing using RapidMiner software with the Cross Validation operator, an accuracy value of 86.61% was obtained.
Teacher Quality Affects On Graduation Of Study Programming Data Approach There With CRISP-DM Method

Each student's graduation is influential to the teacher in every subject that can be predicted based on the pattern of habits of the teacher who presents the subject. Web Proggramming is the subject of study that must be completed by every student. If this course is not completed, it is not allowed for the student to take other courses related to it. The custom patterns of teachers in this study were taken from 300 student respondents. An analysis is done to compare the results of questionnaire scores with the assessment of college admissions teachers. From the results of the comparison, it is possible to predict the graduation rate of students to the web programming course. The results of the experiment were that 72% of the students received highly influential predictions, 12% Influential, 7% Sufficient, 5% Influential and 4% Highly Influential.
Three Pass Protocol for Key Security Using Affine Cipher Algortima and Exclusive-or (Xor) Combination

Information is a very important concern in today's technological era, especially in terms of security through the exchange of information that is so fast that people can easily get various kinds of information. Information obtained easily through recording or openly disseminating data, XOR Cipher is an algorithm used to secure messages and texts but has weaknesses due to simple computation, therefore to strengthen security in XOR Cipher communication protocols can be added to secure key exchange on XOR Ciphers. Affine Cipher can be combined with Exclusive-OR (XOR) for text message security. Through the Affine Cipher algorithm with Key can change the unknown Plaintext, so that the Plaintext is kept secret. The Exclusive-OR (XOR) combination by changing each Character in each Plaintext according to the ASCII Code table can shorten the Key encoding process, so that Plaintext remains safe to send. The Affine Cipher Algorithm and the Exclusive-OR (XOR) Combination for Plaintext security levels are better because the Plaintext encryption and decryption processes are carried out twice with different cryptographic algorithms.
Performance of Various Naïve Bayes Using GridSearch Approach In Phishing Email Dataset

The background is the increasing cybersecurity threats in the form of phishing attacks that can be detrimental to individuals and organizations. The purpose of this research is to compare the performance of four Naive Bayes variants in classifying phishing emails with a method that involves a data pre-processing stage, phishing emails are collected, cleaned, and converted into appropriate numerical features. Next, the GridSearch approach was used to find the best parameters. This research objective is to understand how each Naive Bayes variant works on phishing email datasets. This phishing detection task is based on the following performance evaluation criteria such as accuracy, precision, recall, and F1-score. In this study, Bernoulli got the best accuracy of 97.34% but when the results obtained a hyperparameter, the results showed an increase with the most optimal results and the best performance is Bernoulli 97.38%. The research results are to provide an in-depth insight into the effectiveness of each variant of Naive Bayes in dealing with phishing email datasets and researchers in selecting the most suitable Naive Bayes variant for phishing detection tasks. In addition, the applied GridSearch method can guide how to find the best parameters for Naive Bayes models in other contexts. In summary, this study focuses on analyzing the performance of four variants of Naive Bayes Gaussian, Multinomial, Complement, and Bernoulli with the best algorithms Bernoulli 97.38%.
Fine-grained Classification of YOLOv5 Remote Sensing Aircraft Targets Incorporating Broad Learning System

In the paper, a method of fusing broad learning image classification network and YOLOv5 classification algorithm to improve the fine-grained classification ability of the model was proposed. Firstly, a broad learning hybrid stack model was constructed using the broad learning system and its variants as well as the stack structure. Then, the aircraft model features extracted from the YOLOv5 classification algorithm network were used for training, and the precision of fine-grained classification was improved by enhancing the ability of feature extraction and nonlinear expression of the algorithm. The experimental results show that the proposed method improves the accuracy of YOLOv5 algorithm’s aircraft type classification by 0.8%. Compared with other algorithms, the proposed algorithm is more suitable for deployment on the mobile devices.
Bridging Qualitative Methods Research and Practice in Information Studies Education

Information studies education has perennially adapted to changes in the information landscape, shifting recently toward an apparent privileging of data-centered and computational skill building (Raju, 2020; Tait &amp; Pierson, 2022; Wang, 2018). While it is widely acknowledged that information and technology are biased and socially mediated, the question remains how research methods pedagogy should evolve to best equip graduate students with the holistic understanding needed to critically engage with emerging technologies (Galliers &amp; Huang, 2012). This poster presents a research project exploring how qualitative methods play a role in the information studies education. We are conducting a baseline analysis of existing methods courses from various information schools in North America. We are also analyzing syllabi from some of the qualitative methods courses identified, which may reveal key paradigms and practices covered and how they relate to larger trends in information studies education. Using an interpretive analytical approach, we have induced a set of two main preliminary findings. First, pure qualitative methods courses are potentially underrepresented in information schools. Second, qualitative methods course syllabi represent valuable but limited resources for understanding how graduate students are prepared to confront complex information problems from multiple perspectives. In the future, we will also conduct semi-structured interviews with the instructors who provided their syllabi for analysis. Through this poster, we hope to invite our colleagues into conversation about some existing disparities and opportunities in information studies education, bridging the gap between qualitative methods research, practice, and teaching.
Digit Recognition of Hand Gesture Images in Sign Language Using Convolution Neural Network Classification Algorithm

Sign language is a language used by differently abled persons like deaf and muted people. Hearing impaired people use this language to communicate with normal people. If normal people don’t understand sign language, it is difficult to fill the bridge gap. In this manuscript, a novel approach is developed to recognize the digits of hand gesture images in sign language in order to fill the gap between normal people and deaf, dumb people. In this article, the digit dataset from digit 0 to 9 is considered and taken from Kaggle datasets. The database consists of hand gesture images from 0 to 9 digits, and each digit is having 500 sample images. Convolution neural network algorithm is applied to train the given hand gesture images of database. The evaluation matrix which is considered in the analysis is Recall, F1-score, Precision and Accuracy. More than 90% of accuracy is acquired in the experiment.
Review on 3D Point Cloud

A collection of multidimensional points is represented by a data structure called a point cloud, which is frequently used to describe 3-D data. A point cloud is, technically speaking, a database of points in a three-dimensional coordinate system. However, from the viewpoint of a typical workflow, the only thing that matters is that a point cloud is an extremely accurate digital record of an item or region. It is saved as a very large number of points that cover a sensed object's surfaces. 3D point clouds have drawn more and more attention as a novel way to depict objects in recent years. In this paper, a brief introduction to point clouds is given. The study provides a discussion of point clouds, point cloud data collecting, processing, and applications.
Development of the Content of the School Educational Project within the Framework of the Network

The article deals with the problems associated with the content of school educational projects in mathematics. The main emphasis is placed on the technology of selecting content for the project. The methods of setting the project problem, structuring the goals and objectives of the project are described. The ways of choosing a project topic are presented. The results of the training seminars, which are held within the framework of the network interaction of the methodical association of teachers of mathematics, are shown. Examples of the content of educational tasks (tasks) are given, by means of which the teacher can bring the student to the choice of the research topic and the formulation of the project tasks. The novelty of the proposed solution lies in the idea of the influence of a systematic approach in structuring the content of research and creative projects. The arguments of the direct influence of the developed system of practices on the effectiveness of the organized project work with schoolchildren are presented.
Rational Unified Process as a Software Development Method in Decision Support Systems Design with Simple Additive Weighting in Determining Priority Rehabilitations of Classrooms

Rational Unified Process (RUP) as a development method in Decision Support System (DSS) is suitable for decision-making processes due to its possibility to show iterative and incremental processes in RUP. The decision-making process takes several phases, which are the intelligence phase, the design phase, the choice phase, and the implementation phase. In Decision Support System has many management models. Simple additive weighting (SAW), also known as the weighted summing method, is used as a management model in this paper. The basic concept of the SAW method is to find the weighted sum of performance ratings for each alternative on all attributes. The RUP Approach, which has an iterative and incremental nature, is expected to become a solution in a decision support system. The RUP project has four phases: inception, elaboration, construction, and transition to the software product. RUP divides software development into a number of "disciplines" that are iterations or phases. Each discipline has associated goals and outputs that are accomplished through planned activities. Complete documentation for every stage of development is also emphasized by RUP. The fundamental of RUP are architecturally based approaches, iterative and incremental development, object-oriented modeling, risk management, and a focus on software quality. Collaboration between the software development team and relevant stakeholders is also encouraged by this methodology.
Analisis dan Perancangan Instalasi Penerangan Gedung Perpustakaan Universitas Negeri Manado

This study aims to analyze and design electrical lighting installations in the Unima library building that meet PUIL 2011 standards. The data analysis technique used is inductive data analysis. Inductive data analysis encourages researchers to solve certain cases by testing a theory. The lighting installation design for the Manado State University Library building uses a formula to find the number of light points needed in lux units based on needs, assuming the recommended lamp is 150 watts. In book room 1, after rounding, the lights needed in book room 1 are 13. In book room 2, after rounding, the lights needed in book room 2 are 23. In book room 3, after rounding, the lights needed in book room 3 are 26 lights. In reading room 1, after rounding up, the lights needed in reading room 1 are 12. In reading room 2, after rounding up, the lights needed in reading room 2 are 13. In the administration room, after rounding, the lights needed in the administration room are 4 lights. They are recommended in the admin room, using 100 watts. For direct lighting systems with bright-coloured ceilings and walls, the coefficient value is 50%–65%.