Reviewerly/exHarmony huggingface dataset:
Information Basis of Digital Twins: A Quantifiable Metric for Spatio-Temporal Expressivity

This paper focuses on the concept of Digital Twins and the characterization of Digital Twins in terms of the spatio-temporal extent of the information based on which they operate.Following an in-depth literature review, we observe that even when Digital Twins (and variations of this concept) are qualified in terms of 'levels of information integration', strictly quantifiable metrics are rarely applied.To fill this gap, we propose the term 'information basis', which highlights the quantifiable extent of events occurring in space and time which have an influence on the functionality of the Digital Twin.Following a discussion on the implications of this term, we present an example Digital Twin and discuss how its different alternative implementations would fall on different points of the newly introduced information basis spectrum.
Factors Associated with Intention in Performing Foot Care Using the Theory Of Planned Behavior in Type 2 Diabetes Mellitus Patients

One of the efforts to prevent complications of diabetic neuropathy in diabetic patients is foot care such as washing the feet every day, drying and oiling them, examining the feet for foot ulcers and signs of pre-ulceration, and wearing well-closed footwear at home. or outside the house. In performing foot care, DM sufferers must have strong intentions and beliefs so that they can run it well. This study aimed to determine the factors related to the intention to perform foot care using the theory of planned behavior at the UPTD of the Poasia Health Center, Kendari City. This study used a correlation design with a cross-sectional study approach involving 32 samples. The sampling technique used was accidental sampling. The instrument used is a questionnaire. Data analysis using Spearman correlation test. The results showed that there was no relationship between attitudes (direct = 0.9, indirect = 0.11), subjective norms (direct = 0.058 and indirect = 0.165) and behavioral control (direct = 0.022 and indirect = 0.037) on the intention to perform foot care in Type 2 DM patients. Further research should examine respondents who have understood or understood the importance of DM foot care. It is recommended that respondents and families still need foot care daily to prevent wound complications.
Examining Soil Erodibility, Soil pH, and Heavy Metal Accumulation in a Nickel Ore Mine: A Case Study in Tubay, Agusan del Norte, Philippines

Mining activity always presents threats to soil and water pollution. As an extractive industry, it disturbs the ground and the biodiversity associated with soil and plants. Its operations have led to severe geological and environmental problems, including the depletion of land and water resources, geological dangers, and ecological landscape devastation that may have accelerated the desertification of mining areas. This case study analyzed the soil’s physical and chemical properties in a nickel laterite mine, including soil erodibility K factor, soil pH, and heavy metal accumulation, as a basis for establishing mine management protocol during and post-mining operations in Tubay, Agusan del Norte, Philippines. Results determined a slightly alkaline pH level. An estimate of soil erodibility ranging from 0.016 to 0.066 was determined using the USLE-K factor, with the highest erodibility at Mine 7, where % silt is high and % sand is lowest. X-ray fluorescence (XRF) spectroscopy was used to analyze soil samples. The findings show that Ni, Fe, Co, and Mn in the soil were above the WHO-permitted limits. The surface soil had mean values of 9,239 ppm for nickel, 302,618 ppm for iron, 639 ppm for cobalt, and 5,203 for manganese. Heavy metals in soil may be consumed by crops and pollute land and water.
Research on improved level set image segmentation method

Aiming at the shortcomings of the traditional level set model which only has good robustness to the weak boundary and strong noise of the original target image, this paper proposes an improved algorithm based on the no-weight initialization level set model, introducing bilateral filters and using implicit surface level sets to extract and segment the original target image object more accurately, clearly and intuitively in the evolution process. The experimental simulation results show that, compared with the traditional non-reinitialized level set model segmentation method, the improved method can more accurately extract the edge contours of the target image object, and has better edge contour extraction effect, and the original target noise reduction effect of the improved model is better than that of the model before the improvement. The original target image object edge contour takes less time to extract than the conventional non-reinitialized level set model before the improvement.
TEACHERS’ STRATEGIES IN TEACHING WRITING AND THE PARAPHRASING SKILLS OF SENIOR HIGH SCHOOL STUDENTS IN SANTA ROSA, LAGUNA

This study aimed to investigate the connection between teachers' writing strategies and the paraphrasing skills of Grade 12 Senior High School Students.The study selected one section in one of the schools in Santa Rosa, Laguna, resulting in 64 participants.The researchers employed a survey questionnaire with five-point Likert scales to measure the level of teachers' strategies in teaching writing.Additionally, the students were given a passage to read and asked to paraphrase the specific text, which was evaluated using modified TOEFL iBT® Integrated Writing Rubrics.The data revealed that the students perceived implementing teachers' writing strategies as highly effective.Moreover, the Grade 12 learners demonstrated a satisfactory level of paraphrasing skills.Notably, there was a positive correlation between guided and independent learning strategies and the students' paraphrasing skills.However, no significant correlation was found between collaborative, feedback, modeled strategies, and paraphrasing skills.Based on the findings, it is recommended that teachers conduct a needs analysis before designing instructional interventions targeting the students' paraphrasing skills.These interventions should be based on research on effective writing strategies and teaching practices and may include lesson plans, activities, and resources to support teachers in teaching writing and paraphrasing.It is crucial to evaluate the effectiveness of these interventions by collecting data on student learning outcomes, such as improved writing skills and enhanced paraphrasing understanding.Feedback from teachers and students can also contribute to assessing the interventions' efficacy.
Information System Analysis at SMAN 1 Ajibarang Using COBIT 4.1

The Role of Information Systems (IS) in Information Technology Governance (ITG) has an important role in high school (SMA) educational institutions. ITG becomes very important for educational institutions in discussing the assessment of the correlation between Information Technology (IT) investment and business in each school. State Senior High School (SMAN) 1 Ajibarang has problems with academic service software for student operations and teacher administration needs. IT investment and best services in accessing the needs of teachers and students are important references about school business. The purpose of this study was to analyze IS risk management at SMAN 1 Ajibarang school using the Control Objective for Information and Related Technology (COBIT) 4.1 Framework. This study uses quantitative research methods by distributing questionnaires to respondents to obtain data on validity and reliability tests for good results. The results of the analysis show that the value of the maturity level shows at level 3, which means the value is in the defined process position. The process of achieving its goals in a much more organized manner using organizational assets is well defined. The recommendation of this research is the need for repairing network installations at SMAN 1 Ajibarang and updating administrative software for teachers and students.
A Novel Elite-Oriented Meta-Heuristic Algorithm: Qashqai Optimization Algorithm (QOA)

Optimization problems are becoming more complicated, and their resource requirements are rising.Real-life optimization problems are often NP-hard and time or memory consuming.Nature has always been an excellent pattern for humans to pull out the best mechanisms and the best engineering to solve their problems.The concept of optimization seen in several natural processes, such as species evolution, swarm intelligence, social group behavior, the immune system, mating strategies, reproduction and foraging, and animals' cooperative hunting behavior.This paper proposes a new Meta-Heuristic algorithm for solving NP-hard nonlinear optimization problems inspired by the intelligence, socially, and collaborative behavior of the Qashqai nomad's migration who have adjusted for many years.In the design of this algorithm uses population-based features, experts' opinions, and more to improve its performance in achieving the optimal global solution.The performance of this algorithm tested using the well-known optimization test functions and factory facility layout problems.It found that in many cases, the performance of the proposed algorithm was better than other known meta-heuristic algorithms in terms of convergence speed and quality of solutions.The name of this algorithm chooses in honor of the Qashqai nomads, the famous tribes of southwest Iran, the Qashqai algorithm.
Logistic Regression Based Cyber Harassment Identification

Increased online use and allowing users to engage with groups such as digital networking have contributed to the growth of hacking. Online abuse is a new type of harassment that has lately become more prevalent as online communities have grown in popularity. It tends to send messages which included defamatory claims or vocally harassing someone while in the internet group. Only if modern civilization recognizes harassment as it truly is, countless of hidden sufferers may continue to suffer. There have been several studies on cyber bullying, but none of them have been able to offer a solid remedy. By creating a model that can recognize and block bullying-related incoming and outgoing communications, we address this issue in our project. By employing supervised classification techniques on an open source dataset that has been carefully annotated, we hope to provide lexical baselines for this job. We have employed a logistic regression classifier for training and identifying instances of bullying behaviors. The dataset we used is a twitter dataset collected from kaggle. Our model classifies a message whether it’s bullying or not.
PEMANFAATAN MEDIA STORYBOARD UNTUK MENINGKATKAN HASIL BELAJAR BAHASA INDONESIA KELAS IV MENGGUNAKAN MODEL PEMBELAJARAN PROJECT BASED LEARNING

The aim of this study was to improve student learning outcomes in grade IV Indonesian at SDN Punten 1 Kota Batu. The type of research conducted was classroom action research and was carried out in 2 cycles. The learning model used in this research is Project Based Learning (PJBL). The instruments used in the research were formative test sheets, observation sheets and documentation. The success indicator is 80% with a minimum completeness criterion of 70. Based on the research that has been done, it can be concluded that the use of storyboard learning media can improve student learning outcomes in class IV Indonesian language learning at SDN Punten 1 Batu city. This can be seen from the comparison before and after the action is taken. In cycle one, only 12 students or around 39% achieved minimal mastery. However, after the action was carried out in cycle II, the number of students who achieved minimal mastery learning increased to 25 students or 89%. In addition, the class average value has increased, namely 89 in cycle II. Therefore, the use of interesting media is very important to implement because it can increase student motivation and student learning outcomes.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review : Single Anonymous • Conference submission management system : Morressier • Number of submissions received : 60 • Number of submissions sent for review : 60 • Number of submissions accepted : 55 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 91.7 • Average number of reviews per paper : 2.13 • Total number of reviewers involved : 82 • Contact person for queries : Name : Andrew Barney Email : andrew.barney@geo.uu.se Affiliation : Uppsala University
A Secured Communication System Using Cryptographic Techinques

The field of cryptography deals with the procedure for conveying information securely.The goal is to allow the intended recipients of a message to receive the message properly while interrupt eavesdroppers from understanding the message.Cryptography includes a set of techniques for scrambling or disguising data so that it is available only to someone who can restore the data to its original form.In current computer systems, cryptography provides a strong, economical basis for keeping data classified and for verifying data indignity.The dynamite growth of the Internet has made an expanded familiarity with intrigue uncertainty issues.Even though security is the measure worries over the internet, numerous applications have been created and structured without considering fundamental destinations of data security that is confidentiality, authentication, and protection.Cryptography plays a huge role to ensuring confidentiality of the users credentials like passwords, IDs etc. Again security of any cryptosystem should be hardly breakable I.
Bank Record Storage using Blockchain

Abstract: Financial service providers find blockchain technology useful to enhance authenticity, security, and risk management. Several institutions are adopting blockchain in trade and finance systems to build smart contracts between participants, improve efficiency and transparency, and open up newer revenue opportunities. Blockchain’s unique recording capabilities make the existing clearing and settlement process redundant. Banks and other financial entities are adopting blockchain-enabled IDs to identify people. Better results come from organisations’ capacity to foresee emerging trends in financial blockchain applications and develop blockchain functionality. The transfer of asset ownership and addressing the maintenance of a precise financial ledger. Measurement, communication, and analysis of financial information are three significant areas to be focussed on by accounting professionals. Blockchain clarifies asset ownership and the existence of obligations for accountants, and it has the potential to improve productivity. This paper identifies and studies relevant articles related to blockchain for finance. This paper focuses on Blockchain technology and its importance for financial services. Further takes up various tools, strategies, and featured services in Blockchain-based financial services. Finally, the paper identifies and evaluates the significant applications of Blockchain technology in financial services. Credit reports significantly impact the financial lives of customers. Recent data breaches demonstrate the superior security of blockchain-based credit reporting over conventional server-based reporting. Blockchainbased systems enable the faster, more cost-effective, and more customised issuance of digital securities. With its adoption, the market for investors can be expanded, costs for issuers can be reduced, and counterparty risk can be reduced due to the ability to customise digital financial instruments to the demands of investors. It uses mutualised standards, protocols, and shared procedures to give network users a single common source of truth. Participants in the business network can now more easily collaborate, manage data, and agree with this technology’s application.
Medical Image Registration at Pap Smear for Early Identification of Cervical Cancer

The complexity of the cell structure and high overlap causes poor image contrast. Complex imaging factors in lighting differences, dye concentrations, and other variables such as drying air, excess blood, mucus, bacteria, or inflammation can make automatic visual interpretation more difficult. This study proposes an approach model by combining basic image processing techniques in deep learning for segmentation of the nucleus in the Overlap Cell Image of Pap Smear of Cervical Cancer patients. The purpose of this research is to segment by increasing the identification accuracy of Pap smear images on RepomedUNM public data. The results have the best performance as seen in the MSE value, the lowest RMSE value is 0.2024253 and the lowest PSNR is 0.04009707 and the highest PSNR is 65.3826018 dB. So, this study can be used as a reference in identifying the Cervical Cancer Nucleus as Medical Image Registration (MIR) patients.
Exploring the Effect of LearnEnglish Grammar Mobile App on English Language Learners Grammatical Competence

This study aimed to explore the impact of the LearnEnglish Grammar app on the grammatical accuracy of 10th-grade students at a gifted high school. Utilizing a quasi-experimental design, the researchers randomly assigned students to either an experimental group that used the app for grammar lessons or a control group that received traditional grammar instruction. The results revealed that the LearnEnglish Grammar mobile app significantly enhanced the experimental group’s grammar competence compared to the control group. Most learners demonstrated a positive attitude towards the app and expressed an interest in incorporating it into their language studies. These findings support the comprehensive integration of mobile learning in English grammar education to improve student achievement and lay the groundwork for future research on the effectiveness of mobile learning applications across various school subjects.
Residue to Binary Converter for a Four Moduli Set

Abstract: Due to issues with conventional number systems (binary), such as the carry propagation issue, which reduces the performance of hardware computing systems, residue number systems (RNS) have gained popularity. Residue to binary conversion speed and complexity, as well as the speed of the internal RNS arithmetic unit, all affect how well a residue number system (RNS) performs. We have included a number of studies on the recognition of RNS Number Systems and Residue to Binary Converter Systems for various moduli sets in this paper. Additionally, we implemented a model and calculated the value of LUT’S, Slices and other components within it.
Knowledge management infrastructure capabilities and innovativeness of small and medium scale enterprises in Benue state, Nigeria

The contemporary business environment in Benue state, Nigeria demands all Small and Medium Scale Enterprises (SMEs) irrespective of which sector they operate in to innovate in order to secure a place in the market, and Knowledge Management (KM) infrastructure is said to be one of the strategies with which firm innovativeness can be promoted. It is in view of this that this study was conducted to examine the relationship between KM infrastructural capabilities and innovativeness of SMEs in Benue state, Nigeria. The study adopted the survey design. The population for this study consisted of 1370 employees from 14 SMEs in Benue State. The research focused only on SMEs with up to 50 employees. These SMEs were selected from the three business hubs in the state (Makurdi, Gboko and Otukpo) which covers all the geo-political zones of the State. This number cut across business activities like manufacturing, food processing, bakery, table water, schools, hoteling and ICT. Through purposive sampling technique, Five hundred and eighteen (518) employees from the selected SMEs (i.e. 37 from each) made up the sample size for the study. A self-administered-adopted questionnaire was employed to collect quantitative data for hypothesis testing. The instrument was divided into two categories, with the first part measuring KM infrastructure capabilities (technological, structure, and cultural infrastructures), and the second part was for measuring SMEs innovativeness (the dependent variable). A pilot study was conducted to test the accuracy and the consistency of the research instrument. The result showed that all the constructs were greater than 0.70 indicating that the measures of the variables were reliable (consistent). Five hundred and eighteen (518) questionnaires were issued out to the respondents however, only four hundred and forty five (445) responses validly retrieved and included in analysis. Data were statistically analyzed after being collected from the field with the aid of Statistical Package for Social Sciences (SPSS, v. 21). Pearson Correlation Analysis was employed in determining the relationship between the independent variables (technological, cultural and structural infrastructures) and the dependent variable (SMEs innovativeness). Multiple regression analysis on the other hand tested the extent of effect of independent variables on the dependent variable at 0.05 level of significance. The result of Pearson Correlation Analysis revealed that all the infrastructural dimensions (technology, culture and structure) significantly relate with SMEs Innovativeness. The result of Multiple regression analysis showed a higher effect of cultural infrastructural dimension followed by technology and structure with a low effect though positive. Therefore, it is recommended among others that SMEs need to double their support for the use of technological facilities and develop the desired trainings for the operation of technological facilities
Interaction between a language and a dialect in Italian discourse

The national language is a fundamental and essential communication tool due to the fact that it is evenly distributed throughout the country, it is understood and spoken by most people who have certain rules of language use, and have a certain vocabulary, which more or less depends on the level of education and culture of a person. This article reveals the concept of a language and a dialect, characterizes the contact between them, and considers the dialect’s essence. The study highlights the problem of interaction between a language and a dialect and pays special attention to the role of dialect in language and cultural space. Based on linguistic mapping by isogloss strands, the boundaries of dialects are outlined, and the interpenetration issues of features of neighboring dialects as a result of their long-term interaction are considered. It is also emphasized that the structural features of the dialect change over time due to interdialect interaction and the influence of the literary language, but the dialect as a form of existence of the national language does not disappear, and only transforms into a new quality.