Reviewerly/exHarmony huggingface dataset:
Cost-Efficient Deep Learning Model for Colorectal Cancer Diagnosis: Leveraging Unsupervised Learning Composite Network

Despite this, the mortality rate associated with CRC is among the highest of all malignancies. Even while prompt and accurate diagnosis can significantly improve patient outcomes, traditional diagnostic procedures are usually expensive, invasive, and time-consuming. This is despite the fact that rapid diagnosis can significantly improve patient outcomes. Deep learning has emerged as a potential avenue for the diagnosis of cancer, despite the prohibitive nature of the costs associated with developing robust models in terms of both computational and financial resources. In this article, the authors offer a deep learning model that is optimized for the diagnosis of colorectal cancer at a low cost. The model was trained using an unsupervised learning composite network (ULCN). Unsupervised learning is utilized by the ULCN in order to pre-process enormous amounts of unlabeled data in order to cut down on the necessary volume of labelled data as well as the associated cost. Our model was able to capitalize on the underlying structures and patterns in the data, which allowed it to perform far better than other methods available at the time on a test set of histopathological images. The unsupervised feature extraction phase significantly reduced the amount of time required for training, hence showcasing the efficiency of the model. The findings indicate that by combining unsupervised learning into deep learning systems, it may be possible to create a diagnostic tool that is more easily accessible and scalable in clinical settings.
Key Fitting Points of Agri-food Supply Chain Collaboration and Blockchain: Literature Review on Agri-food Supply Chain Collaboration with the Integration of Blockchain Technology

The Agri-food supply chain is pivotal for sustaining and nourishing global populations. Ensuring its high-efficiency, transparency, and integrity is paramount for each party in the supply chain. This paper aims at identify the fitting points between Agri-food Supply Chain Collaboration and Blockchain Technology through a comprehensive review. Research articles and materials related to Agri-food Supply Chain Collaboration with the integration of Blockchain Technology were collected from online databases such as Scopus, CNKI, and Google Scholar for a period of 10 years (2014-2023). It first provides an overview of the characteristics of Agri-foods and Blockchain Technology, and then details the data collection and analysis process. FineReport software is used to complete content and descriptive analysis. Next, the key fitting points of Agri-food Supply Chain Collaboration and Blockchain Technology are discussed, such as smart contracts, trust, quality and safety control, and information sharing. A case analysis on DongNan Rice as for Agri-food Supply Chain Collaboration integrated with Blockchain Technology is carried out. This paper also discusses the current research gaps. It is ended with the conclusions and future research directions.
Risk Management Committee Gender and Likelihood of Financial Distress of Listed Deposit Money Banks in Nigeria

This study explores the effect of risk management committee gender diversity on the likelihood of financial distress among listed deposit money banks in Nigeria. The study utilizes the Nigerian Code of Corporate Governance 2018 as an instrumental variable to address endogeneity concerns related to the self-selection of gender diversity on the risk management committee. The dependent variable is the likelihood of financial distress, while the independent variable is the gender composition of the risk management committee. The sample size consists of 12 listed deposit money banks, and the data covers the period from 2017 to 2021. The analysis employs a two-stage regression analysis technique. The findings of this study reveal a significant positive effect of risk management committee gender on the likelihood of financial distress among listed deposit money banks in Nigeria. This suggests that a higher representation of a particular gender in the risk management committee is associated with an increased likelihood of financial distress. The results have important implications for policymakers, regulators, and banking institutions in Nigeria. The study highlights the need to consider gender diversity in risk management committees as a potential driver of financial distress. The findings call for proactive measures to promote a more balanced gender representation and inclusion in corporate decision-making processes within the banking sector. The findings emphasize the significance of gender diversity in risk management practices and provide valuable insights for stakeholders seeking to enhance risk assessment and mitigate the occurrence of financial distress in the banking sector.
The The Influence of Mind Mapping Model towardsthe Result on Economical Lesson for Tenth Grade Islamic Senior High School in MAN 2 Kutai Kartanegara

The study examines the use of mind mapping model and its result in Economical lesson for tenth grade Islamic Senior High School in MAN 2 Kutai Kartanegara that involves two classes consisting of 35 male and 43 female students. This study uses experimental research by using post-test only control group design as the method. The data collection technique is used by using documentation, interview with the teacher who teaches Economical lesson, test, and questionnaire of the students’ respond. The technique of analyzing the data by using t-test to examine the hypothesis. The results of the study show that the implementation of using mind mapping as a leaning model is running well. The student from experimental class, X-IPS 1 or social studies class 1shows the significant changes and conventional class, X-IPS 2 social studies class 2 shows not really the significant changes. But, from these two classes together show development from how they study, their interests in learning Economical lesson, they become active, creative, and critical student especially their result in score to pass the standard lesson value in Economic is 75 in their school. Based on the research, the average score of the first post-test shows 98,5 in experimental class and 87,64 in conventional class. In the second post-test, the averagescore in experimental class having more significant difference until 10,86. Then, the average score for both two post-test in experimental class is 86,91 and conventional class is 82,07. From ten questions of questionnaire are reached each questions get 70% for the statement of agreement in using mind mapping as learning model to understand and learn Economical lesson. The analyzed of the data by using t-test shows tcount equals 5,931 and ttable equals 5%, and the percent of the freedom (dk) equals 76 or 1,991. Because tcount is bigger than ttable, means the use of mind mapping to increase the result of the students’ learning for economical lesson is accepted and revealed. The use of using mind mapping is also expected to solve the lower student speed in learning a certain lesson, the student to learn other lessons to increase their understanding, and the student and teacher are able to have good interaction and bounding to prepare them in facing the real word especially that links with Economy.
Students' Language Politeness in the Independent Curriculum in Class V of SDN 4 Cacaban, Magelang City

Language politeness is one of the skills that every person needs to apply . An impolite individual can be said to be an individual who is unable to appreciate, respect and sympathize with other individuals. Politeness in oral communication will have an effect on students' communication activities when dealing with various parties in everyday life . Factors that influence students' politeness come from parents, social environment, norms in society , and understanding of the principles of language politeness. Today's situation is that many students are not good at sorting and choosing words when interacting with people older than them. Their teachers are no exception. Therefore, it is necessary to observe students' language politeness so that they can interact well with any party. This research aims to observe the language politeness activities of class V students at SDN 4 Cacaban, Magelang city . The method used is a descriptive qualitative method as an effort to describe the politeness of students' language. Based on the research results, it shows that the language politeness applied by class V students in the independent curriculum is in accordance with the types of politeness acts . In the research conducted, it appears that teachers also play a role in influencing students' language politeness. Teachers also use polite greetings , by asking for help from their students. In this case, the teacher acts as an example and provides guidance to students regarding the importance of language politeness .
Graduates of Bachelor in Performing Arts: Careers and Career Choices

The purpose of the study was to collect information and analyze the careers of the theater arts graduates of the Polytechnic University of the Philippines from 2015 to 2019 – how the career factors led them to their career choices and the recommendations to improve the Bachelor in Performing Arts (BPeA) of program. The researcher used mixed methods design to provide descriptions, specific real-life experiences, and comprehensive analysis of the research problems. Due to Covid-19 quarantine protocols in the Philippines, the researcher collected data through e-survey questionnaires and online interviews. A total of 71 respondents participated in the research, of which, 56 accomplished the survey and 15 joined the interview. Majority of the respondents pursed a career in the field that is not related to theater or performing arts. They agreed that their self-efficacy beliefs, outcomes expectations, and personal goals were essential factors that led them to their career choices. The need to support their family or children, competitive salary, and health benefits were other important factors. They recommended the BPeA program to provide a conducive theater facility for the students, hire eligible professors, and improve the curriculum.
Model Pembelajaran Project Based Learning Meningkatkan Hasil Belajar Mata Pelajaran Komputer Akuntansi

Vocational education makes students individuals who have competitive abilities and skills by mastering their competencies, but what is found is that students are less able to process the information they receive well, so they only receive it passively, are unable to understand the material independently, and lack the skills to motivate themselves in the field of literacy. The article discusses how PjBL is utilized to enhance student achievement in the field of computer accounting. This study used the classroom action research approach and involved four phases: planning, carrying out the actions, observing, and reflecting on the results. This study occurred in two rounds, with each round comprising two gatherings. This research focused on a group of 32 individuals who were students in class XII, AKL 4. During the second semester of the academic year 2022-2023, a study was carried out on the topic of computer accounting at SMK Negeri 1 Solok. In this research, it was found that prior to administering the intervention, the mean score indicating participants' learning outcome was 71.85, while the completion rate stood at 48.48%. In the initial round, the mean score achieved was 80.27, and approximately 69.70% of the participants passed. During the second phase, the average student learning score rose to 85.61, and the percentage score reached 78.79. Based on the data collected, it can be inferred that the use of the PjBL approach has proven to be highly effective in enhancing students' academic performance.
The Security Jawbreaker

When someone stands at the front door of your home, what are the steps to let them in? If it is a member of the family, they use their house key, unlocking the door using the authority the key confers. For others, a knock at the door or doorbell ring prompts you to make a decision. Once in your home, different individuals have differing authority based on who they are. Family members have access to your whole home. A close friend can roam around unsupervised, with a high level of trust. An appliance repair person is someone you might supervise for the duration of the job to be done. For more sensitive locations in your home, you can lock a few doors, giving you further assurance. Making these decisions is an implicit form of evaluating risk tolerance, or your willingness to accept the chance that something might go against your best interests.
Transformative Experiences: Zoho's AI Writing Solutions

The swift and incessant advancement of technology has influenced learning in various aspects. Technology and English language education are highly related to each other. As writing is difficult, complex, and challenging for an English language learner than speaking, the integration of traditional learning approaches and technology is crucial in improving the participants' writing performances. This paper explores the benefits of Zoho's AI-based Writing tool. The participants were randomly selected from a private university in Odisha. Zoho's smart writing assistant checks the content and offers suggestions to improve grammar, punctuation, spelling, and writing style. The respondents are divided into two target groups using the same instructions, with the exception that one group could use Zoho and the other could write in the traditional way. The results of this study revealed that Zoho could be utilized for improving the writing performance of the learners.
A Novel Cryptographic method for Securing Active Conventions in Data Networks

Dynamic conferencing alludes to a situation where in any subset of clients in a vast expanse of clients structure a convention for dividing secret data between them. The key dissemination (KD) issue in powerful conferencing is to register a common secret key for such a progressively framed meeting. In writing, the KD plans for active conventions either are computationally unscalable or require correspondence among clients, which is unfortunate. The extensive symmetric polynomial based dynamic conferencing system (ESPDCS) is one such KD conspires which has a high computational intricacy that is universe size subordinate. In this paper we present upgrades to the ESPDCS to foster a KD conspire called Universe-Free SPDCS (UF-SPDCS) with the end goal that its intricacy is autonomous of the universe size. In any case, the UF-SPDCS conspire doesn't scale with the convention size. We propose a moderately versatile KD conspire named as DH-SPDCS that utilizes the UF-SPDCS and the tree-based group Diffie-Hellman (TGDH) key exchange procedure. The proposed DH-SPDCS gives a configurable compromise among calculation and correspondence intricacy of the plan.
NATURE OF SENSITIVITY AND ITS ROLE IN EDUCATIONAL PROCESS

The article is devoted to the research of the nature of mental sensitiveness, which means the characteristic feature of man, inherent to him and conditioned by the work of his psyche. In this respect mental sensitivity is contrasted with sensory sensitivity, i.e. the psychological aspect of personality comes into conflict with the physiological one. However, this understanding is wrong. If we talk about the formation and development of a person, it is necessary to consider mental and sensory sensitivity as interrelated. The only criterion that can distinguish between mental and sensory types of sensitivity is the measurement criterion. The article pays special attention to the role that sensitivity is able to play in the educational capabilities of an individual. Such criteria as creativity, that is, ability to creativity, and learning, that is, ability to learn, are considered. The following characteristics of sensitivity are distinguished: gradation, measurability and immeasurability, innateness and genetic conditionality, immediacy, developability, dependence on society, staging, spontaneity and regularity, positive and negative impact. The study concluded that both high and low sensitivity can influence the educational process both positively and negatively. It all depends on the extent to which a person is able to recognize and manage own sensitive dependency. It was concluded that all kinds of sensitivity are combined into a network that can be adjusted: if one of its parameters changes, it can also lead to network changes. In addition, there is a direct correlation between the level of sensibility and the creative abilities of an individual: the higher are the mental and sensory sensitivity, the greater is the creativity.
Pre-Trained Deep Learning Models for Detecting Strikeouts in Kannada Handwritten Documents

In the digital document analysis, handwritten character recognition is a challenging area. Various methods are proposed in the literature to identify the strike-outs in various languages. Kannada handwritten classification is a crucial machine vision problem due to its various practical applications in the development of recognition systems. Identifying of strikeout string on the given Kannada statement is an important challenge to develop robust recognition system. In the present study, pre-trained models such as DenseNet121, EficientNetB0, MobileNet, InceptionResNetV2 are used to recognize strikeout Kannada words. Experimental analysis indicates that EficientNetB0 performed better for strikeout Kannada words and InceptionResNetV2 results in higher performance for non-strikeout Kannada words.
Comparative Analysis of Multi-Level Algorithm with Different Encryption and Decryption Security Algorithms

This research explores network data encryption and decryption strategies used in communication networks. The majority of network communication systems revolve around information sharing on mobile phones, networked PCs, and other internet-connected electronic devices. As information travels through several networks and is subject to numerous types of assaults, unsecure data can be read, altered, or faked by anybody with access to it. To defend against this form of assault, data encryption / decryption techniques are utilized. To illustrate the effects and evaluate the efficacy of each decoding and encryption method used in network technologies, Visual Basic simulation studies that encrypted and decrypt data were created, developed, and tested. Further study was for comparative analysis of Multi-Level Algorithm with different Security Algorithms for encrypting data approach.&#x0D;
Prediction of patient length of stay using random forest method based on the Indonesian national health insurance

Inpatient care is the largest component of healthcare service expenditure. Healthcare management plays a role in reducing expenditure costs and improving healthcare services. Identification of factors related to patient length of stay and accurate prediction of how long patients will be hospitalized becomes important to support stakeholder decision making. In this study, the length of stay for patients using BPJS insurance services was predicted using the random forest method. An experiment has been conducted to compare different numbers of trees and candidate split attributes in a prediction model. The experimental results showed that increasing the number of trees and candidate split attributes can improve prediction performance and reduce the resulting error rate. The optimal value was found when the number of trees was 100 with the MSE/Variance value of 0.3805. The main determinant variables for predicting patient length of stay were found to be the patient's disease diagnosis, participant segment, and healthcare facility type.
Genetic algorithm for finding shortest path of mobile robot in various static environments

In conducting their work in the industry quickly, precisely, and safely, mobile robots must be able to determine the position and direction of movement in their work environment. Several algorithms have been developed to solve maze rooms, however, when the room is huge with several obstacles which could be re-placed in other parts of the room, determining the path for a mobile robot will be difficult. This can be done by mapping the work environment and determining the position of the robot so that the robot has good path planning to get the optimal path. In this research, a Genetic Algorithm (GA) will be used to determine the fastest route that a robot may take when moving from one location to another. The method used is to design a mobile robot work environment, design genetic algorithm steps, create software for simulation, test the algorithm in 6 variations of the work environment, and analyze the test results. The genetic algorithm can determine the shortest path with 93% completeness among the 6 possible combinations of the start point, target point, and position of obstacles. The proposed GA, it can be argued, can be used to locate the shortest path in a warehouse with different start and end points.
Transformation of Village Library to Social Inclusion-Based Library for Community Entrepreneurship (Case Study of Rambung Sialang Hulu Village Library, Sergei District, Deli Serdang Regency)

This study aims to identify and examine the efforts and active role of the Rambung Sialang village library and its transformation and contribution to the development of entrepreneurship in the Rambung Sialang Hulu village community. The research method used is a qualitative research method with a phenomenological approach. The data collection technique used is the observation technique. The results of the research show that the village library can be used as a learning tool for the community as well as a means to encourage the welfare of the village community. The Rambung Sialang Hulu village library plays an active role in improving the existing human resources in the village, this can be seen from the programs being implemented which are programs that can increase creativity so as to create a good quality of life for the community. Efforts made by the village library are by transforming the library based on social inclusion. The contribution of the Rambung Sialang village library in addition to developing human resources also provides solutions to develop community entrepreneurship. The Rambung Sialang Hulu village library collaborates with village communities to develop villages by developing community competencies and by utilizing existing facilities and programs. The Rambung Sialang Hulu village library often provides promotional and marketing media for entrepreneurial products. The Rambung Sialang Hulu village library will also look for more marketing media that can be used to improve the welfare of the people of Rambung Sialang Hulu village.
Decision Support System (SPK) for Selection of New Student Admissions and Majors Using Simple Additive Weigthing (SAW) and Fuzzy Tsukomoto at SMA Negeri 1 Kalirejo

Decision support system (DSS) is an information system that helps managers with unique strategic decisions (non-recurring) or a system that provides a means that allows managers to develop information so that it is appropriate to support the decisions they will make. In this study, the SAW method was used to select student admissions and the Fuzzy Tsukamoto method was used to specialize students. This research is to select and organize specializations so that the school can easily select students and students are not wrong in organizing specializations. The results of the student selection test using the SAW method selected 281 students from 325 students who registered and by using the Fuzzy Tsukamoto method there were 19 students who were wrong in determining the majors of the 281 selected students.