Reviewerly/exHarmony huggingface dataset:
Role of stain normalization in computational pathology: use case in metastatic tissue classification

Machine learning algorithms have made strides in the classification of metastasis in tissue histopathology images. However, one of the major roadblocks faced by these algorithms is the difference in staining of tissue samples taken and scanned at different laboratories. Stain normalization works to standardize the color and intensity of stain patches to a reference image, hence bringing different laboratory stainings to a similar domain. We propose to compare different stain normalization methods in conjunction with color augmentation to evaluate the performance of combinations of techniques for binary classification of metastatic tissue slides taken from lymph nodes. We examine the accuracy, precision, recall, F1 score, and AUROC of a convolutional neural network (CNN) model trained and tested on images that have been normalized using the Macenko and Vahadane methods. Six different configurations that combine color augmentation and stain normalization were analyzed on the PatchCamelyon (PCAM) dataset consisting of over 300K images. Our analysis showed that the Macenko method of stain normalization improves model performance, and similarly, data augmentation shows general improvement, as the increased diversity amongst the data counters overfit in the model. Model accuracy with Macenko and color augmentation improved from baseline by 1.59% and F1 score for Macenko improved from baseline by 2.50%. The best performing combination was color augmentation with the Macenko method.
Prediction of Optical Performance of Solar PV Under the Impact of Natural Dust Accumulation: Machine Learning Approach

Natural dust accumulation on the installed solar photovoltaic (PV) modules reduces the transmittance, thereby degrading the conversion efficiency of solar PV plants. Therefore, proper monitoring and cleaning of solar modules are necessary to ensure the efficient performance of solar PV modules. For new installations, the prediction of performance is needed based on the already installed sight-specific PV plant data. In this work, Machine Learning (ML) algorithms have been used to predict the transmittance of solar PV module surface under the impact of natural dust accumulation over seasonal variations. Annual experimental dataset from solar PV modules surface (low-iron glass) has been utilized to predict the transmittance using ML algorithms such as K-Nearest Neighbour (KNN), Decision Tree, Random Forest, and Ensemble learning (EL) - Gradient Boost algorithm, on three different tilt positions: horizontal, inclined and vertical positions. A detailed comparative analysis of different ML models for different glass positions using performance evaluation metrics has shown that the ensemble learning-based Gradient boost algorithm is the most accurate in predicting the optical performance of solar modules with R2, MAE, RMSE, and MAPE values of 0.99, 0.736, 0.55 and 0.7% respectively. The prediction results obtained in this work claim to be useful for optimal scheduling of cleaning the solar modules to improve the overall performance of site-specific solar power plants.
Analysis of Accounting Information Systems In Merchantability Inventory Control In CV. Multicraft

The objectives to beachieved in this study are : to datermine the extent to which the accounting information system for controlling merchandise inventory is carried out effectively and efficiently on CV. MULTICRAFT. The steps to achieve the objectives of this research are : 1. Analysis the accounting information system for internal control of merchandise inventory on CV. MULTICRAFT, 2. Identify the problems and causes by CV. MULTICRAFT. From the results of the research and analysis carried out, it can be concluded that : 1. With the procedures that have been carried out, there are still some problems in CV. MULTICRAFT, the number of stock items is a lot different, and the inventory of merchandise is insufficient, 2. The occurrence of dual functions and the volume of work that high, which makes work inefficient, 3. There are 5 Standard Operating Procedure (SOP) that can be applied in the company so that the company’s internal control can be more optimal and better.
Report on the Fourth International Scientific Conference “Universalism of Human Work. Challenges for Education”

Labor et Educatio » 10 (2022) » Report on the Fourth International Scientific Conference “Universalism of Human Work. Challenges for Education” A A A
Smart Voting System

The electoral system in India has undergone several changes in recent years. The current system involves either Secret Ballot Voting (SBV) or Electronic Voting Machines (EVM), both of which are costly, labor-intensive and inefficient. The current system only verifies identification proof, which increases the likelihood of fraudulent voting. This study proposes the use of an electronic voting system that incorporates fingerprint and face recognition technology. The online system enables voters to cast their votes from anywhere, minimizing the chances of voting fraud. The proposed system has three levels of security: verification of unique id number, election id number, and face recognition. The use of voter identity number and fingerprint can prevent fake and duplicate registrations, leading to a higher success rate during voting. This method significantly enhances the security level of the voting process. Key Words: identification proof, face recognition, protect, security level, success.
A Multimodal Discourse Analysis of Selected Social Media Posts on the #BlackLivesMatter Protest

The Black Lives Matter movement is a social movement focused on social justice for Blacks, undocumented immigrants, people with disabilities, and it seeks to change laws and policies in the criminal justice system and other areas that set these categories of people at a disadvantage. This paper investigated the multiple modes of communication such as text, colour and images manifested in the social media posts on the #BlackLivesMatter protest; which resulted from the murder of an African American, George Floyds, by American police officers on the 25th of May 2020, in Minneapolis, Minnesota and the protest which started on the 26th of May 2020, in the same city in the US. The study utilized a qualitative research design and sampled six posts made by participants in the protest. The posts were purposively sampled from online sources and were analysed with Kress and van Leeuwen’s strand of the theory of multimodal discourse analysis. The research goal was to explore the socio-semiotic meaning exposed in participants’ posts on the #BlackLivesMatter protest through social media #hashtag (Twitter, Facebook, Instagram, and online articles), using Kress and van Leeuwen’s theory of Visual Grammar to unravel visual-verbal synchrony in selected posts used in the Black Lives Matter protest. The study identified evidence of multimodality, such as verbal-visual synchrony expressed through text, font, images, colours, and framing and found, among others, that these features of the posts enhanced the overall theme of the #BlackLivesMatter protest. Based on these findings, the researchers concluded that the eight themes – black identity, racism, oppression, brutality, social justice, global activism, the resilient spirit, and the pursuit of liberation that emerged from the analysis were systematically projected in the posts with the aid of multimodality.
Movie Ticket Booking Website

The project objective is to book cinema tickets in online. The Ticket Reservation System is an Internet based application that can be accessed throughout the Net and can be accessed by anyone who has a net connection. This application will reserve the tickets. This online ticket reservation system provides a website for a cinema hall where any user of internet can access it. User is required to login to the system and needs a credit card or must have any of the online payment mode for booking tickets. Tickets can be collected at the counter and Watching movies with family and friends in theatres is one of the best medium of entertainment after having a hectic schedule. But all this excitement vanishes after standing in hours in long queues to get tickets booked. The website provides complete information regarding currently running movies on all the screens with details of show timings, available seats. Ticket reservations are done using credit card and can be cancelled if needed. Our online tickets reservation system is one of the best opportunities for those who cannot afford enough time to get their tickets reserved standing in long queues. People can book tickets online at any time of day or night. Our reservation system also provides option to cancel the tickets which are reserved. Key Word: Online, Ticket, booking, Snacks, Movie.
Combating the Threat of Crime in the Security of the Bauchi Local Government Area Using Geospatial Technology

The dynamics of crime and its nature expose the State to the security threat. The types of criminal activities perpetrated within the communities, including armed robbery, kidnapping, and car and motorcycle snatching, are rapidly increasing. These crimes have” threatened security in Bauchi Local Government and hence the need to check by providing relevant information using modern technology. The geospatial technique combined with the Key Informant Interview approach was adopted to evaluate the intensity of insecurity in Bauchi LGA; from the data collected and analysed, it was established that criminal activities are increasing in various areas leading to the rapid increase in crime hotspots. As a result, the security agency needs to improve the nature of its functionality in combating crimes. Despite the fact that 70.35% of the security agency outpost are functional while 29.62% of the Outpost are non-functional, the security agency recorded 1081 crimes in 2020, which increased to 1142 crimes in 2021 and 1640 in 2022. Also, looking at the 645,000-population density of Bauchi LGA and the ratio of security personnel to individuals of 1:3581, which need to meet the United Nations standard of a ratio of 1:450. Given this, it was recommended that the State create job opportunities and skill acquisition training for unemployed youth roaming the streets. The security agency needs to develop a new strategy for combatting the security threat using geospatial technology and frequent production of security threat maps and their mitigation.
The Mediating Effect of Leadership Style in Relationship of Employee Motivation towards Employee Performance for Production Media in Oman

Leadership and the different associated styles have an immense impact on how employees perform and grow through motivation. This research aims to explore the leadership style, mediate the relationship between employee motivation towards employee performance in Oman production media. In this descriptive study, the goal has been to discover the pattern of cause and effect, which can predict phenomenon. The area of study focuses on the non-managerial employees in Oman's production media industry (audio &amp; video production). The estimation for data collection from this study is 312. The relationship between the variables was investigated by PLS-SEM. According to the findings, all proposed hypothesis significantly accepted. Academically, this study contributes to the knowledge on employee performance by providing empirical evidence that to improve the performance of the Oman's production media industry. In conclusion, the study framework can be used by adapting the variables that would measure improvement and success of then employee performance.
Evaluation of Differential Analytic Model as a Tool for the Diagnosis of Malaria Infection

Background and Objective: Malaria is a life-threatening parasitic disease that is entirely preventable and curable but considered as one of the main diagnoses of acute febrile illness in the tropics.Alteration of various haematological parameters has been observed among patients with malaria parasite infection.Analytic models are used to provide an explicit framework for understanding accurate malaria diagnosis in the human population.It is therefore necessary to make a critical assessment of the predictive differential model for accurate diagnosis.Materials and Methods: Blood samples were collected from volunteer subjects using the standard method.These were analyzed and evaluated using an automated haematology analyzer.Results: The Fisherʼs linear discriminant function for gender classification of haematological properties of malaria patients obtained by subtraction is presented as: z = -0.0030PCV-0.0315WBC-0.0557NEUT-0.0367LYMP-0.2227MONO+0.0018PLT.The sample mean of the discriminant function scores was obtained by the constant coefficients as, z G = 6.354.The threshold against which a paediatric patient discriminating score is evaluated as 0.0000, this is obtained by taking the average of the centroid function.This implies that any new patient with discriminant scores greater than 0.0000 would be diagnosed to be a male, otherwise, a female.These data analysis hypotheses efficiently the categorization of the genders with 59.3% accuracy based on the retribution estimate method and 53.6% accuracy based on the leave one out method.Conclusion: This model could be useful as preliminary data to adopt better strategies for precise diagnosis of Malaria infection.
Research on the Professional Development Support System of Double-Qualified Teachers in Higher Vocational Colleges in the New Era—Taking Higher Vocational Colleges in Hunan Province as Samples

Education is based on teachers. Through the investigation of the professional development support of double-qualified teachers in five higher vocational colleges in Hunan Province, it is found that there is a disconnection between the content of continuing education and the needs of teachers in the professional development support of double-qualified teachers in higher vocational colleges. The performance mechanism of double-qualified teachers is not perfect, the mechanism of school-enterprise cooperation to cultivate double-qualified teachers is not perfect, and the double-qualified teachers are lack of long-term effectiveness. It puts forward the construction strategy of continuing education, performance incentive, school-enterprise cooperation training and mentoring pairing support mechanism for the professional development of double-qualified teachers in higher vocational colleges in the new era.
Designing Service-Oriented Approach for Animal Welfare

Abstract: REST principles and RESTful data architecture are topics that web developers constantly discuss because they are essential to contemporary development and many other things. REST is a technique for building APIs with specific organizational principles, not a technology on its own. These guidelines and ideas are intended to help developers and establish a uniform environment for handling API requests. We are developing a Restful API for the developers, Organizations to develop websites, applications, Desktop applications by using our data. Restful APIs are handy because a number of applicationscan be built over them. In this paper, we emphasized the idea of design and implementation that Instead of approaching every NGO, we are making a rest API so that data can be easily accessible and can be used to make many websites or many applications.
The Effect of Comic Strips towards Students’ Reading Comprehension

This study aimed to know the effect of comic strips towards students’ reading comprehension at tenth grade students of a Senior High School in Tanjungpinang. The research design in this study was quantitative approach namely pre-experimental research. The participants of this study were a class of tenth grade students in the academic year of 2021/2022. The instruments for collecting the data were reading comprehension test given as pre-test and post-test. The test consisted of 20 questions and the format was multiple choice. The questions made by the researcher according to strategies for reading comprehension and validated by the lecturer and teacher at the target school. The test is given to other class which was similar level to the target class in the same school before given to the experimental class as post-test and pre-test to get the reliability of the test. The results of data analysis revealed that the effect of comic strips towards students’ reading comprehension for tenth grade students was very good. It improved significantly the students’ reading comprehension.
Changes and challenges in higher education services after COVID-19 pandemic (The case of Israel &amp; The Republic of Moldova)

The COVID-19 crisis that broke out all over the world in March 2020 has influenced all life areas and economy, including higher education. The transition to online distance learning in a very short time for organization, and the social and economic emergency, had significant implications on the higher education system and those who study. A quick and effective organization of higher education institutions and research institutes promoted higher education in some of the countries to the front of pedagogic competition and progress, which attracted international students and brought academic prosperity of the institutions. The transition to distance learning, which was forced due to health-social constraints, changed the higher education systems’ perception and promoted innovative ideas in placing higher education as an economic-social factor in each country. This article, which is part of a doctoral thesis that discusses the position of higher education as a factor of competitiveness and student mobility, will try to map what was done in both countries, Israel and Moldova.
Construction of College Students Online Education Ecological Chain Based on Block Chain Technology

This paper discusses the current situation and trend of online teaching in Colleges and enterprise network education, the challenges of online education quality in colleges and universities, the relationship between “five new” and university entities, and the problems existing in the current education evaluation under the background of epidemic. Combined with the current application scenarios of blockchain technology, the necessity of building an online education ecological chain based on blockchain technology is discussed, and an online education evaluation system based on blockchain technology is constructed, as well as the solutions to the problems existing in the construction mechanism by applying blockchain technology. This paper introduces the online education ecological chain model based on block chain and its operation principle.
Tendency to innovate as the mediator of knowledge management and business performance

Knowledge management can play an important role in increasing efficiency and success of organisations. The present study aimed to investigate the effect of knowledge management on business performance with the mediating role of tendency to innovate in small and medium-sized industries in Mobarakeh Industrial Town. The present study is applied in terms of purpose and has a quantitative approach, and is descriptive and correlation in terms of method. The statistical population of this study consisted of all managers of small and medium-sized enterprises in Mobarakeh Industrial Town who were from 409 active companies. Sampling was performed by simple random sampling using Morgan table through which 118 people were selected. The knowledge management and business innovation questionnaire was used to collect the data. Data analysis was performed through structural equations. Based on the obtained results, the relationship between knowledge management and innovation and business is positive, meaning that the more is knowledge management and innovation, the more will be business. The impact of knowledge management on business was obtained as equal to 13%, and innovation on business as equal to 32%.
Determinants of Digital Transformation Adoption in Education: An Evaluation of a Post-pandemic Case Study in Vietnam

In recent years, digital transformation (DT) has emerged as a subject with numerous promise advantages across several industries.Prior papers focused mostly on identifying benefits and obstacles, but less is known about validation, particularly in the educational sector.Thus, the objective of this study is to fill the gap by examining the factors that influence the acceptance of digital transformation in the education setting.318 prospective adopters of DT consented to participate in this research by completing an online survey through Google Form.These samples were divided into 159 individuals for exploratory factor analysis (EFA) and 159 observations for confirmatory factor analysis (CFA).The EFA favored a five-factor model, which was shown to explain over 69% of the data variance.The tentative names for these hidden variables were policy, efficiency, knowledge, facilitating conditions, and behavioral intention.Two items were excluded from the scale measurement due to cross-loading on other factors.The findings of the CFA confirmed and validated the five-factor model, with all test measures meeting the predefined thresholds, indicating an acceptable fit.As opposed to evaluating individual indicators, the findings of this study present five crucial topics for instructors, educators, and policymakers to examine, and they also provide a foundation for interested researchers to perform further studies.
Review of Ethics Codes for Environmental Robots

Like robo-fish or conservation drones, environmental robots are those that can carry out jobs for environmental research, engineering, and protection. While the term “environmental robots” can branch into robots-in-ecology, robots-for-ecology, and ecobots, each with differing purposes and ethical concerns, their overall objective is directed towards protecting and enhancing the environmental health on Earth. Though there is a huge potential for the application of environmental robots, this concept itself is relatively new, and thus there is a lack of study done on the ethical aspects of environmental robots. In past literature, researchers often focused on ‘specific’ types or products (e.g., robofish, Treebot, etc.), but there were relatively few surveys of the overall category of environmental robots. Therefore, in recent years, scholars have pointed out the need to consider wider “ethical, practical and sociopolitical concerns'' surrounding environmental robots. This paper has aimed to develop more reliable guidelines that are specific to environmental robots, considering their unique roles and characteristics. First, this paper has identified three main areas in which potential ethical issues may arise: the manufacturing of environmental robots, their operation abilities in nature and direct impact onsite, and expected or unexpected long-term consequences on ecosystems through their continued usage. Based on these three areas, the paper then built a broader guideline for the kinds of issues future ethics codes must address. Lastly, the paper systematically reviewed existing ethics codes for generic robots to suggest areas that have clear gaps or areas that are already sufficient to be applied for environmental robots. Human modification of ecosystems has been a key factor for the rapid population growth during the recent millennia, and environmental robots are growing to become the next key for this growth. However, we must proceed with attention to the design, construction, operation, and maintenance of these robots, as their positive potential for the environment may backfire and cause grave ethical concerns. Therefore, this research seeks to ultimately provide a reliable set of guidelines for future developers and manufacturers of robots associated with service in the environment.