bluuebunny/crossref_metadata_2025 huggingface dataset:
BIG DATA-DRIVEN DECISION MAKING IN PROJECT MANAGEMENT: A COMPARATIVE ANALYSIS
Authors: Rahaman Md Atiqur ,   Department of Management and Information Technology, St. Francis College, New York, USA, Rozony Farhana Zaman , Mazumder Md Samiul Alam , Haque Md. Nazmul ,   Graduate Researcher, Master of Science in Information Management System, College of Business, Lamar University, Texas, USA,   Monroe College, King Graduate School, New Rochelle, New York, USA,   PhD Candidate, University Malaysia Terengganu, Facaulty Of Business Economics And Social Develoment,  Kuala Nerus, Terengganu, Malaysia
Published: July 2024

This study investigates the impact of big data-driven decision-making in construction project management through a qualitative comparative analysis. By conducting semi-structured interviews with project managers, data analysts, and construction workers across various types of construction projects, the research identifies key themes related to the benefits and challenges of integrating big data analytics. The findings highlight significant advantages such as enhanced operational efficiency, improved decision-making processes, cost reduction, budget management, timely project delivery, and quality control and assurance. However, challenges including data integration complexities, privacy concerns, the need for specialized skills, and organizational resistance to change are also revealed. The study underscores the importance of fostering a data-driven culture and strong leadership support to maximize the benefits of big data in construction project management, while also emphasizing the need for context-specific strategies tailored to different project types.
https://allacademicresearch.com/index.php/AJSTEME/article/view/89
Authors: Nahar Janifer ,   Graduate Research Assistant, Department of Finance, Louisiana State University, Baton Rouge, Louisiana, USA, Jahan Nusrat , Shorna Sadia Afrin , Joy Zihad Hasan ,   Master of Business Administration, Department of Marketing, University of Dhaka, Bangladesh,   Graduate Researcher, Master of Science in Management Information Systems, College of Business, Lamar University, Texas, USA,   Master of Science in Business Analytics, Trine University, Michigan, USA
Published: July 2024

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in the financial sector has brought about a profound transformation in decision-making processes, risk management, and predictive analytics. This comprehensive study aims to systematically identify and analyze the foundational theories, emerging themes, and research clusters within the extensive body of AI and ML finance literature through an in-depth bibliometric analysis. By meticulously examining a vast array of publications spanning over two decades, the study uncovers the intricate evolution of AI and ML applications in finance, mapping out key areas of research and providing valuable insights into future research directions. The findings reveal a significant and accelerating growth in the application of AI and ML across various financial domains, notably in fraud detection, portfolio management, and algorithmic trading, demonstrating the substantial impact and transformative potential of these technologies. This study not only charts the current landscape of AI and ML research in finance but also identifies critical gaps and opportunities for future exploration, underscoring the ongoing evolution and maturation of this dynamic field.
Sexual Assault and Associated Factors among Women: A Cross-Sectional Study in Hawassa University Comprehensive Specialized Hospital, Ethiopia
Authors: Nigussie Abebaw , Zewdie Gelagay , Zewdie Gelagay , Worku Misganaw , Addis Nitsuh
Published: July 2024

Background: Sexual assault is a major form of sexual violence affecting one out of every five women in the world and it has many consequences including sexually transmitted infections, posttraumatic stress disorder and risk of unintended pregnancy. Thus, this study was aimed to assess the magnitude, complication and factors associated with sexual assault among women who visited gynecologic outpatient department of Hawassa University Comprehensive Specialized Hospital.Methods: Cross-sectional study was conducted from January 1 to October 30, 2019. Self-administered questionnaire developed from “WHO multi-country study on women health” and from “sexual violence medical evaluation certificate format” was used to collect data. Descriptive analysis was done on sexual assault related characteristics and binary and multivariate logistic regression analysis were done to identify factors associated with sexual assault.Results: The prevalence of sexual assault was 10.8% (n=43). Some 79.1% (n=34) of survivors were under the age of 18 years. 25% (n=7) of the survivors tested for pregnancy were positive and some 7% (n=3) of each were positive for Hepatitis B and Trichomonas vaginalis. Woman who was less than 18 years old [aOR=10.7, 95%CI (3.37, 33.85)], unmarried [aOR=9.2, 95% CI (2.11, 40.42)], had primary level of education [aOR=8.9, 95% CI (2.37, 33.06)] and a monthly income less than 1500 birr [aOR=6.7, 95% CI (1.54, 29.50)] had higher odds of experiencing sexual assault than their counterparts who were adult, married, secondary- or higher-level of education and a monthly income more than 1500 birr. Conclusions: In this study, Age, marital status, monthly income and educational level were significantly associated with sexual assault.Key words: Women, Pregnancy, Sexual assault, Sexually transmitted infection.
Identifying The Factors Associated with Time to Discontinuation of Intrauterine Device Among Women of Reproductive Age at Arba Minch Town and Zuria Woreda, Gamo Zone, Southern Ethiopia
Authors: Gergiso Kabtamu Tolosie , Kasika Teshale Petros , Erango Markos Abiso , Anjullo Belay Belete
Published: July 2024

Background: Intrauterine device (IUD) is the world’s most widely used reversible birth control method. This study was aimed to assess factors that influence the time to discontinuation of Intrauterine device among women who ever used IUD in Arba Minch Town and Zuria Woreda, Southern part of Ethiopia.
 
Methods: A retrospective cohort study design was carried and stratified random sampling technique was used to determine sample of size 230 from a total population of 25,658 Women. The Kaplan-Meier estimation method was used to compare the survival experience of Intrauterine device discontinuation with respect to different covariates. Three parametric accelerated failure time models were compared by using AIC and BIC.
 
Result: Accelerated failure time model with Weibull distribution was found to be appropriate model to fit the data set. The results indicated that the baseline age of the women’s, place of insertion, HIV test, income and educational level of women were significantly associated with time to discontinuation of IUD. Hence, illiterate women with low income and refused to test for HIV had higher hazard rate for time to discontinuation of IUD.
 
Conclusion: From these analyses we conclude that the covariates such as age, place of insertion, Human Immunodeficiency Virus test, income and education are associated with time to discontinuation of Intrauterine device in classical approach. So, we recommended that all stakeholders should be considered when planning and implementing against women’s who utilize Intrauterine device to increase survival time of utilization.
SCHOOL-BASED EXTRACURRICULAR ACTIVITIES IMPROVE REPRODUCTIVE HEALTH KNOWLEDGE FOR HIGH SCHOOL STUDENTS
Authors: Hong Hanh Nguyen Thi
Published: July 2024

ABSTRACTBACKGROUND: Reproductive health (RH) knowledge of high school students in Vietnam is poor. This study aimed to assess the effectiveness of school-based extracurricular activities in improving the RH knowledge for students in Tra Vinh province.METHODS: A pilot intervention study was conducted on the control group (70 students) who had no the extracurricular activities on RH, and the intervention group (71 students) who participated extracurricular activities on RH with two sessions (90 minutes/session). Two forms of questionnaires were used for assessing student’s level of knowledge change about RH that were built by researchers of the Department of Human andAnimal Physiology, Biology Faculty, Hanoi National University of Education and evaluated by the Centre for RH Education and Family Planning.RESULTS: There was no statistically significant difference in the pre-intervention test scores between the two groups (P = 0.319) while the post-intervention scores of the intervention group and control group were 7.11 and 5.77, respectively (P = 0.026). After adjusting for age, gender, ethnicity, participation in extracurricular activities still had a statistically significant relationship with students' scores (OR = 2.96, ? = 1.09, P = 0.009). After participating in extracurricular activities, RH knowledge of students in the intervention group was dramatically improved.CONCLUSION: High school students in Tra Vinh lacked school-based extracurricular activities in RH, therefore, their RH knowledge was still limited. Extracurricular activities provided students with accurate information and knowledge of RH.KEYWORDS: Extracurricular Activities, Reproductive Health Education, High schoolStudents, Vietnam
ANALISIS NILAI PENDIDIKAN DAN IMPLIKASINYA DI SMA PADA NOVEL MARUTI: JERIT HATI SEORANG PENARI KARYA ACHMAD MUNIF
Authors: Apriliani Hani , Stella Talitha  , Mahajani Tri
Published: July 2024

Penelitian ini bertujuan untuk mendeskripsikan nilai pendidikan dalam novel Maruti: Jerit Hati Seorang Penari karya Achmad Munif. Metode yang digunakan adalah metode deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah teknik baca dan catat. Data peneliti berupa kutipan yang mengandung nilai pendidikan, seperti nilai religius, nilai moral, nilai sosial, nilai keindahan, dan nilai budaya. Dari hasil penelitian ditemukan sebanyak 70 data. Jumlah temuan pertama nilai religius sebanyak 9 kutipan dengan indikator beriman kepada Allah, bersyukur kepada Allah dan berdaoa. Kedua, nilai pendidikan moral sebanyak 35 kutipan dengan indikator bertanggungjawab, percaya diri, pekerja keras, memberi nasihat, ikhlas, berani, dan mengasihi orangtua. Ketiga, nilai pendidikan sosial sebanyak 6 kutipan dengan indikator saling berbagi, memiliki jiwa sosial yang tinggi, dan bersahabat. Keempat, nilai keindahan sebanyak 13 kutipan dengan indikator gaya bahasa metafora, gaya bahasa personifikasi, gaya bahasa simile, gaya bahasa alegori, homonim, serta pribahasa. Kelima, nilai budaya sebanyak 7 kutipan dengan indikator kebudayaan Jawa dan makanan khas Jawa. Dengan demikian, dapat disimpulkan bahwa dalam novel Maruti: Jerit Hati Seorang Penari karya Achmad Munif mengandung nilai pendidikan yang layak dijadikan sebagai bahan pembelajaran sastra dalam studi Bahasa Indonesia di SMA.
LITERATURE REVIEW : ANALISIS PENYUSUNAN MODUL AJAR PADA KURIKULUM MERDEKA
Authors: Lailatur Rahmi  , Fajrina Suci , Rahmi Yosi Laila
Published: July 2024

Saat ini pendidikan di Indonesia menggunakan Kurikulum Merdeka. Berdasarkan review artikel yang telah dilakukan diketahui bahwa guru masih kurang mampu dalam menyusun modul ajar. Salah satu cara yang dapat dilakukan untuk meningkatkan kemampuan guru dalam mengembangkan modul ajar adalah dengan melalui pelatihan pengembangan modul ajar. Penelitian ini penting dilakukan untuk mengetahui tingkat kemampuan guru setelah dilakukan pelatihan pengembangan modul ajar.Metode penelitian yang digunakan pada penelitian ini adalah metode artikel review yaitu dengan menganalisis artikel yang relevan terkait dengan penyusunan modul ajar Kurikulum Merdeka. Hasil penelitian menunjukkan bahwa kemampuan guru dalam menyusun modul ajar meningkat setelah diadakan pelatihan. Berdasarkan review artikel yang dilakukan didapatkan kesimpulan bahwa pelatihan penyusunan modul ajar Kurikulum Merdeka dapat meningkatkan kemampuan guru dalam menyusun modul ajar.
FORMATIVE ASESSMENT IN INDEPENDENT CURRICULUM FOR PRIMARY SCHOOL IN UPT SD NEGERI 224 GRESIK
Authors: Septiarini Nur Leni
Published: July 2024

This study aims to find out the implementation of evaluation in the teaching of English in the Independent Curriculum at the UPT SDN 224 Gresik. This study investigates the application of the formative evaluation of English teaching in the Curriculum. This research uses case studies. The subjects of this study are two first- and third-grade English teachers as well as students of the first and third classes. Data is collected and analyzed using qualitative methods. Observations and interviews are used to gather data. This study uses the theory of Miles and Huberman (1994). This research reveals that teachers have a fairly optimal formative implementation. Teachers use performance through presentation and role-play for formative assessment. Even the teacher gives feedback on the student's evaluation results. The teacher really understands the application and function of the formative assessment even assesses and assumes that the formation of the assessment is more important than the sumative.
Experiences of inclusion through partnership concerts of the 4th Primary School of Alexandroupolis with the E.E.E.E.K. and ENEEGY-L (Special Educations Schools) Alexandroupolis. The melody of diversity unites hearts and children!
Authors: BATZOLA VASILIKI , GRAMMATIKOU VICTORIA
Published: July 2024

Τhis work is the result of collaboration between the 4th Primary School of Alexandroupolis " Chronis Aidonidis" and the Laboratory of Special Vocational Education Training (EEEEK) and the Unified Special Vocational High School (ENEEGY-L) of Alexandroupolis. The collaboration occurred because artistic activities offer students multidimensional experiences (cognitive, emotional, psychomotor). The activities were designed and implemented based on the goals of co-education programs, the guidelines of the Detailed Curriculum of Studies of EEEEEK and Primary Education, the principles governing the inclusion process, and the use of special teaching principles in shaping the curriculum and apply special teaching techniques. Students were made aware that equal access to knowledge for all people based on their particular abilities is a constitutional imperative, and the democratic right to co-education of students is a universal good that ensures opportunities and learning possibilities.
REGULATING THE DIGITAL SPHERE: A COMPARATIVE ANALYSIS OF SOCIAL MEDIA GOVERNANCE
Authors: Singh Prof. (Dr.) Rajbir
Published: July 2024

India has experienced the potential of social media platforms and witnessed the far-reaching consequences which these platforms may pose. With the recent rise of social media platforms such as Facebook, Instagram, YouTube, Twitter, and other popular websites, the legal control of social media has become a major concern. This paper discussed the governing legislation and regulatory agencies in India and did a critical study of their efficacy in addressing social media-related issues. It analyses critically the regulatory policies concerning social media of various jurisdictions including United States, United Kingdom and European Union inter-alia followed by deductive analysis for the Indian scenario. In the end of the paper recommendations are provided for enhancing the efficiency of the present legal & policy process in order to achieve the desired goals in the evolving Indian society.
TRADITIONAL PERFORMING ART: A ‘VANISHING POINT OF JURISPRUDENCE’ VIS-À-VIS GEOGRAPHICAL INDICATIONS
Authors: Poddar Dr. Debasis
Published: July 2024

In the given legal regime vis-à-vis geographical indications (hereafter GI) under the Geographical Indications of Goods (Registration and Protection) Act, 1999, followed by the Geographical Indications of Goods (Registration and Protection) Rules, 2002, services are not subjected to the given GI regime while there is potential space to cover the same with legal reasoning and with reference to performing arts and practices under the umbrella of traditional cultural expression (TCE); so maintained and developed primarily by the tribal population in India since time immemorial. With reference to intellectual property (hereafter IP) governance, the author hereby explores the IP jurisprudence and thereby strives to advance arguendo- with reasoning- that ideation vis-à-vis geographical indications need not necessarily relate to goods alone and may at ease get extended to services; if the same serves public good. Here there is vacuum- if not void- in the GI regime; something similar to what went narrated as ‘vanishing point of Jurisprudence’, to quote Holland, since the regime remains silent while traditional performing arts and other practices are subjected to commercialization without consent of the community anyway; with ‘Poverty of Philosophy’ (Marx, 1847) to get coverage of the GI regime extended to traditional cultural expressions. The author concludes that the GI regime needs restatement to safeguard intangible cultural heritage of ‘the wonder that was India’ (by courtesy, Basham, 1954); thereby ascertain conservation of the civilizational tributaries sustained by original population of the soil. Thus, TCE ought to get construed as cultural heritage and, as policy choice, resort to the GI way appears a need of the hour toward mutual convenience of regional traditional art practitioners and the audience entertained by the performance. A mutual balance of interests for both sides ought to get traditional performing art (TPA) fortified by default.
Prodistik: Madrasah Management to Develop IT Skill in Industrial Revolution 4.0 Era
Authors: M Ansharuddin , Sholihan Sholihan , Adnan Mohammad
Published: July 2024

In the era of the Industrial Revolution 4.0, which requires the younger generation to develop expertise in the IT field, educational institutions must also develop Madrasah management to provide this knowledge and skills for their students. This study aims to examine Prodistik Madrasah's management in developing IT skills in the era of the Industrial Revolution 4.0 so that Madrasah graduates can also master technology. The approach used in this research is descriptive qualitative with case study type. At the same time, the research location is in MA Negeri 2 Probolinggo. Data collection techniques used include observation and in-depth interviews equipped with documentation. The data analysis technique refers to the Miles and Huberman technique, which allows data reduction, data display, and data verification/conclusion. The study results indicate that Madrasah's management in implementing Prodistik is collaborating with ITS Surabaya, forming an IT Skills Vocational Team and ToT, developing the Prodistik curriculum, and monitoring and evaluating programs in collaboration with ITS every semester. The conclusion is the increasing ability of MA Negeri 2 Probolinggo students in the IT field who can make various useful products by utilizing IT in the preparation of Final Projects and achievements in various IT competitions The implication is that educational institutions can realize Madrasah programs to the maximum if there is cooperation with other relevant institutions or institutions.
Analysis of Microfinancing in the Development of MSME Customers
Authors: Bella Yolanda Chintya , Dwiaryanti Risca , Hasanah Lailatul
Published: July 2024

Sharia banks primarily operate in accordance with Islamic law, which is based on concepts of fairness, balance, benefit, and the avoidance of prohibited aspects such as gharor, maisir, and usury. Bank Syariah Indonesia (BSI) is an exemplary sharia-compliant financial organization that offers financing and other services. It operates using sharia-compliant contracts that have been certified by the National Sharia Council. Microfinance has played a vital role in the financial sector since the early 1980s, with the goal of offering financial services to individuals and small and medium-sized enterprises who are economically disadvantaged. The primary focus is on achieving sustainable development by effectively managing and harmonizing the financial, social, environmental, and governance dimensions. The study employs a qualitative methodology to examine the impact of microfinancing on the development of micro, small, and medium enterprises (MSMEs), as well as the various forms of MSME development. The study examines the provision of funding by banks to businesses and self-employed individuals, with a focus on factors such as trust, agreements, duration, and associated risks. Financing has multiple purposes, such as encouraging commerce and economic activities, mitigating unemployment, allowing the movement of products and money, and fostering economic progress. MSMEs have a substantial impact on the Indonesian economy by making considerable contributions to the country's gross domestic product and employment rates.
The Influence of Promotion on the Public's Interest in Becoming Customers at KSPPS BMT NU Branch Karang Penang
Authors: Taufiq Hidayat Muhammad , Rohman Abd. , Busro Busro , Ferdiansyah Mudi
Published: July 2024

Analyzing the influence of promotions on people's interest in becoming customers at KSPPS BMT NU Karang Penang Branch. The research was conducted using a qualitative approach, with a case study type of research. Data collection techniques were carried out using observation, interviews and documentation methods. Meanwhile, checking the validity of the data uses technical triangulation. The research results show that the strategy developed is: First, providing various types of products in a complex manner. Second, build relationships by holding regular meetings in priority areas that have great prospects in carrying out marketing. Third, strengthen relationships and collaborate with certain agencies or institutions on certain activities to maintain relationships with customers. Fourth, provide pick-up and drop-off services to make it easier for customers to carry out transactions. Fifth, attend several educational institution activities to maintain family relationships and maintain emotional ties with customers. The implications are, it is able to attract the interest of potential customers to carry out transactions and increase the loyalty of existing customers towards BMT NU because of the formation of trust and a sense of comfort with the relationships built. So that prospective customers built by BMT NU provide good fed back.
Assistance in Fattening Goat Farming Business: Diversification Strategy and Productivity Improvement "Gus Shor Farm" Kanugrahan Maduran Lamongan Village
Authors: Hamid Ahmad Munir
Published: July 2024

The development of Goat Farm Fattening Business "Gus Shor Farm" in Kanugrahan Village, Maduran, Lamongan is a strategic effort in increasing the productivity and sustainability of goat farming business. In this context, diversification strategies and productivity improvement are the main focus. The study aims to analyze local market potential, identify business diversification strategies, and design measures to increase goat farm productivity. Research methods used include field surveys, stakeholder interviews, and data analysis. The results showed that the demand for goat meat in the local market continues to increase, providing a great opportunity for "Gus Shor Farm" to develop a goat fattening business. Business diversification strategies include the development of processed goat products such as sausages, jerky, and goat cheese, which can increase the added value and attractiveness of products. In addition, productivity improvement is carried out through the application of technology and efficient management practices, including the use of high-quality feed, good livestock health management, and selection of superior goat breeds. By implementing this strategy, "Gus Shor Farm" can increase income, reduce financial risk, and contribute to economic and social development in Kanugrahan Village, Maduran, Lamongan.
Peningkatan Literasi Menulis Teks Deskripsi Menggunakan Media Gambar di Kelas VIII SMPS Pusaka
Authors: Imelda Falensya Imelda , Ningsih Dinni Nurfajrin , Sukaesih Hj
Published: July 2024

Penelitian ini bertujuan untuk literasi menulis teks deskripsi yang ditujukan pada peserta didik yang masih cukup rendah. Rendahnya kemampuan peserta didik tersebut disebabkan karena adanya rasa malas dalam diri peserta didik yang akhirnya kegiatan literasi yang diadakan di sekolah tidak berjalan dengan baik. Pada penelitian ini menggunakan desain penelitian Pre-experimental Design dengan jenis One Group Pretest-posttest. Yang dimana penelitian ini  menggunakan 3 instrumen, diantaranya yaitu lembar observasi, lembar tes dan lembar kuesioner. Selain itu penelitian ini memiliki tujuan yaitu untuk mengetahui ada atau tidaknya  peningkatan mengenai keterampilan literasi menulis deskripsi pada peserta didik kelas VIII di SMPS Pusaka dengan menggunakan media gambar. Dengan digunakannya media gambar diharapkan peserta didik dapat menulis teks deskripsi dongeng dengan baik dan tentunya memperhatikan kaidah kebahasaan dan struktur teks deskripsi. Hail observasi pada penelitian ini yaitu 92,5% yang  dimana persentase tersebut termasuk ke dalam kategori sangat baik. Selain itu terdapat peningkatan dari hasil tes awal ke tes akhir. Pada hasil tes awal memperoleh nilai rata-rata sebesar 48 dengan nilai terendah 30 dan nilai tertinggi 65. Sedangkan pada saat tes akhir memperoleh nilai rata-rata sebesar 85 dengan nilai terendah 75 dan nilai tertinggi 95. Maka dari itu dapat disimpulkan bahwa adanya peningkatan dari hasil nilai tes akhir.
Complex systems approach to natural language
Authors: Drozdz Stanislaw
Published: July 2024

The science of complexity is an interdisciplinary approach to seeking answers to the question of the principles by which Nature operates, composing basic elements of matter and energy into dynamic patterns and structures propagating through the entire hierarchy of scales in the Universe. The associated remarkable emergent phenomenon, such as the syntactically organized natural language, superbly reflects these patterns and structures, as expressed in its great ability to encode and transmit information about them and between them. Therefore, it is justified to expect that the natural language—spontaneously created by Nature—best mirrors the laws of nature and embodies the essence of complexity. It can also be added that from the perspective of human communities, natural language is a fundamental factor shaping the development of civilization in all its aspects.
Studying the interrelations between usali parameters and gop through wavelet coherence analysis
Authors: Labanowski Lukasz , Fracz Pawel , Wotzka Daria , Dabrowski Ireneusz
Published: July 2024

The article focuses on analyzing financial indicators according to the Uniform System of Accounts for the Lodging Industry (USALI) standard, examining metrics across seven selected hotel entities in Poland. It identifies Gross Operating Profit (GOP) as a crucial metric. Through wavelet coherence analysis, the research aims to reveal the temporal relationships and determine the impact of specific USALI components on the GOP within these hotels. Additionally, it seeks to identify whether there are common traits or notable differences among the analyzed establishments.
Analysis of the housing market dynamics using narx neural network
Authors: Suchacka Grazyna , Wotzka Daria , Mach Lukasz , Fracz Pawel , Stec Marzena , Foltys Joachim
Published: July 2024

This study employs a Nonlinear Autoregressive with eXogenous inputs (NARX) neural network to model the dynamics of the housing construction market in Poland, with a distinction made between segments of developers and individual investors. The dataset under analysis contains the 19-year data corresponding to the numbers of housing units approved for construction, under construction, and completed. The NARX model was calibrated thoroughly to suit unique characteristics of the data, with an emphasis put on the hidden layer size and delay parameters, to capture the estate market's nonlinear trends. Results show a very high efficiency of NARX models and highlight distinct patterns and dynamics in the housing completion, construction starts, and permit issuance between the two market segments. These variations are vital for understanding the distinct forces and trends shaping the developers’ and individual investors’ markets in the Polish housing sector. Findings of the analysis provide valuable insight into the nuanced functioning of these market segments.
Impact of the volume of developer housing units on real estate prices in poland: correlation and coherence analysis
Authors: Wotzka Daria , Fracz Pawel , Stec Marzena , Dabrowski Ireneusz , Mach Lukasz , Chorkowy Bartosz
Published: July 2024

This article conducts a comprehensive correlation analysis to explore the relationship between the development volume by developers and average market prices in Poland's housing sector from 2010 to 2022, utilizing quarterly data on the number of apartments released and their average prices. It employs both linear and nonlinear correlation analysis alongside wavelet coherence analysis. Preliminary correlational analysis offered insights into the basic interdependency patterns, highlighting how developer-supplied apartment numbers impact average prices. Wavelet coherence analysis, a more sophisticated approach, decomposed the data across various frequencies to uncover complex, nonlinear relationship patterns potentially missed by conventional correlation methods. The findings of the study highlight significant connections between the variables that vary over time and space, emphasizing the complexity of the housing market and underscoring the necessity for thorough analysis. These results carry important implications for developers, investors, and housing policy formulation, contributing significantly to understanding Poland's residential real estate market dynamics and supporting further research and strategic real estate industry planning.
Hybrid agent-based machine learning simulation of a classroom disruption model
Authors: Alharbi Khulood , Cristea Alexandra
Published: July 2024

Agent-Based Models (ABMs) have been used in the field of education as a learning tool. However, the use of ABM as a tool for educational stakeholders is not well-represented, nor machine learning (ML) for ABM. Here we extend our work on a classroom ABM, by developing an ABM & ML hybrid model that simulates classroom disruptive interactions during a school year, and outputs predicted learning outcomes. We use real-life data from a primary school monitoring system that contains 65,385 student records from 2,040 schools across the UK as well as simulated interaction data, to implement linear regression for predictions of math scores, and ABM interactions to update the final score, to reflect the effect of these interactions. We show that this hybrid ABM model outperforms a simple ABM model.
System and management interpretation of the processes of creation and use of digital twins of complex technical objects
Authors: Kofnov Oleg V. , Zakharov Valerii V. , Sobolevsky Vladislav A. , Sokolov Boris V.
Published: July 2024

The paper shows how on the basis of system-cybernetic interpretation of the processes of creation and use of digital twins of complex technical objects (CTO) as processes of proactive (anticipatory) control of the structural dynamics of the corresponding evolving situation, the corresponding tasks of analysis and synthesis of digital twins can be described in terms of control theory. In this approach, these tasks are formally described and solved within the framework of three basic tasks of qualimetry of models and polymodel complexes (PMC). These are the mentioned above tasks: the task of analysing proactive control of structural dynamics of a evolving situation, the task observing the controlled structural dynamics of evolving situation, the task of proactive control of structural dynamics of evolving situation. The paper provides information on the practical implementation of the developed system-cybernetic approach to the description and use of digital twins of CTO, based on the fundamental and applied results obtained to date in the qualimetry of models and PMC.
Digital twin driven assembly line re-balancing and decision support
Authors: Lugaresi Giovanni , Tamas Kornel , Laszlo Kovacs
Published: July 2024

Recent investments in industrial digitization together with the concrete need for short-term planning capabilities mean digital twins can effectively aid enterprises in the management of their production systems and value chains. This paper introduces a conceptual framework for assembly line re-balancing in the context of Industry 5.0, focusing on manual assembly processes. The framework aims to leverage a digital twin for obtaining a synchronized representation of the current task allocations in the assembly line, and uses data-driven scenario generation methods for investigating alternative balancing solutions that are proposed to operators in real time. A proof-of-concept platform is implemented in a laboratory environment, utilizing an assembly line with industrial components. Preliminary results demonstrate the compatibility of the proposed components within the digital twin framework. The potential applicability to various manual assembly scenarios is discussed, along with considerations for incorporating additional constraints in the evaluation process.
Time history analysis of buildings and structures design models in scad software on multicore computers
Authors: Fialko Sergiy
Published: July 2024

The problem of integration of motion equations under given initial conditions of design models of multi-storey buildings is considered. In contrast to the generally accepted approaches, the equations of motion are formulated in absolute coordinates, which makes it possible to naturally consider the asynchronous excitation of the supports during seismic action. For the numerical solution of the problem, the finite element method is used, and the numerical integration of this Cauchy problem is carried out by the alpha-HHT method. The specific algorithms have been developed for the implementation of proposed approaches on the CPU as well as on the GPU and are oriented on shared memory multicore computers. The main attention is focused on comparing the performance of mentioned algorithms on real-life problems.
Development of a 3d dem simulation software for coupled simulations
Authors: Graeff Jozsef Balazs , Tamas Kornel , Pasthy Laszlo
Published: July 2024

This study is based on the development and methodology of building 3 dimensional discrete-, and finite element (DEM-FEM) simulation engines, as well as the potential way of improving usability and simulation speed. The program demonstrated here, BMEDEM3D, natively supports discrete element, finite element, and mass spring simulations. Currently no simulation software supports all these methods without the need for coupling several different programs to achieve these results. BMEDEM3D contains a powerful Graphical User Interface, which lets the user configure everything without needing to understand programming.
Analytical validation of the fe model of a railway wheel-rail rolling-sliding contact
Authors: Doebrentei Sandor , Zwierczyk Peter Tamas
Published: July 2024

This paper presents the analytical validation methods of contact analysis conducted in finite element environment. A railway wheel-rail contact phenomenon including slip is modelled, but the main focus is on the wheel, so the effect of the rail was considered only by the pressure and traction loads on the wheel surface. The finite element model was validated by analytical methods from the point of view of stress distribution, and the effect of simplifications were evaluated.
Simulation of ship flooding in openfoam: a praise for open source cfd
Authors: Paludetto Silva de Paula Lopes Pedro , Maturana Marcos , Martins Marcelo Ramos , Gaspar Henrique M. , Nishimoto Kazuo
Published: July 2024

This paper presents an overview of a CFD Opensource tool and its applications in industry and academia. A study case of a cruise ship flooding simulation is presented to show its capacity. To ensure the reliability of the results, a grid convergence analysis was performed and compared with benchmark data provided by FLARE, a European consortium that provided open data on flooding benchmarks. Additionally, general arrangement layout modifications were tested. The main corridor width was changed, and water elevation probes were placed in different rooms to evaluate the change in the corridor width. Results showed that when the corridor width increases, the time to flood reduces for the rooms far from the breach. This behavior was opposed to the room near the breach, requiring a longer time to fill the room as the corridor width increased. The study case showed that studies with small variations could be important for ship design purposes, for instance, and doing that in experimental facilities is expensive, showing the necessity of good numerical free and open-source tools, such as OpenFOAM.
Graph databases for multi-domain taxonomies in maritime systems
Authors: Bronson Janica A. , Luz Fernando H. P. , Fonseca Icaro A. , Gaspar Henrique M.
Published: July 2024

Facing the increasing quantity and richness of data related to modeling and simulations of maritime systems, advanced solutions that can maintain data coherence and traceability are becoming increasingly beneficial. In the context of modeling complex systems, such as ship design, retaining connections of systems data, whether quantitative or qualitative, helps to provide a traceable and comprehensive view of the vessel at various stages of its development. This paper explores the use of graph databases to help provide such connections and introduces various domains of systems data that would be advantageous to link via graph theory. Additionally, this paper explores how graph databases compare to current flat file databases in a practical sample case of multi-domain data related to ship concept design.
Computation of temperature distribution in the integrated thermal protection system for reusable launch vehicle
Authors: Hetmaniok Edyta , Brociek Rafal , Slota Damian
Published: July 2024

In this paper the mathematical model of three-layer system representing the integrated thermal protection system, possible to use in the reusable launch vehicle, is discussed. In each layer the distribution of temperature is described with the aid of the heat conduction equation, completed by the interface boundary conditions properly defined at the interfaces between adjacent layers. On the outer surface the boundary condition of the second kind is assumed, including the aerothermal heat flux generated at NASA Langley Research Center. Whereas on the inner surface the boundary condition of the first kind is defined. Moreover, the model allows the variation of material parameters depending on the temperature. The numerical problem is solved by using the implicit scheme of the finite difference method. The procedure is executed for various space-time grids and the results of this research confirm the convergence of the scheme when the grid dense increases.
Anisotropy coefficient in 2d polydisperse model of composite structures
Authors: Barczak Krzysztof , Hetmaniok Edyta , Kita Julia , Warycha Joanna
Published: July 2024

The article presents a mathematical model describing the coefficients related to the electrical conductivity of the varistor. Varistor’s conductivity is closely related to its microstructure, which consists of ZnO grains surrounded by an amorphous bismuth oxide layer, in- tergrain areas rich in reaction products between the varistor components, and pores. Only active grain boundaries take part in the current conduction process, which are mainly ZnO grains surrounded by amor- phous bismuth oxide. The intergranular areas and pores are electrically inactive, i.e. unnecessary from the point of view of conducting electric current. The angle θ determined from the mathematical model in- dicates the direction of current flow in the varistor, which occur the largest number of active grain bound- aries. The direction perpendicular to θ indicates the presence of the largest number of electrically inactive areas. Having knowledge about the most optimal di- rection of current flow in the varistor can influence the improvement the performance of the varistor and thereby its electroprotection.
Analyze the encryption and decryption methods using the catalan sequence
Authors: Walusiak Lukasz , Rylko Natalia , Zdanski Maciej
Published: July 2024

This paper concerns the project and implementation of a cryptographic tool based on the Catalan sequence. It explains the beginnings of cryptography and how people’s approach to transmitting messages has changed over the years. With the development of society, the need to conceal the meaning of messages from unauthorized individuals has grown. The paper addresses the issue of symmetric affine cipher, its complexity, and the secure transmission of the secret key through individuals using the tool. The key can be entered by the user-sender or generated automatically using the Catalan sequence. In contemporary times, the issue of secure data transmission, and consequently the appropriate methods of encryption and decryption, is crucial. The presented actions not only show an analysis of the methods but also the implementation of these as a functioning tool.
Intersections among cluster inclusions in multi-phase polydispersed structures
Authors: Mityushev Vladimir , Grzonka Daniel
Published: July 2024

This paper introduces a novel approach inspired by structural sums, which describes the interactions among inclusions of dispersed composites. These sums serve as the cornerstone for mathematical models of random structures within the framework of the theory of analytical representative volume element (aRVE). We quantified the inter-phase interactions within composites based on the methodological aspects presented.
Analysis of viscosity behaviour of shear-thinning hydrogels in 3d-printing nozzles
Authors: Ardaneh Fatemeh , Immonen Eero , Chaudhari Ashvinkumar , Pelkonen Jani , Knuutinen Santeri
Published: July 2024

Hydrogels with shear-thinning properties are being investigated for use in biomedical applications such as drug delivery, tissue engineering, and 3D bioprinting. For 3D bioprinting, it is very important not to change materials such as the survival of cells during the printing process. This study aims to determine the best model for predicting viscosity using Computational Fluid Dynamics (CFD) simulations and further investigate the relationship between material properties and nozzle geometrical parameters to optimize 3D printing processes. Three types of Alginate gels with different shear-thinning behaviour are considered and their viscosity is modeled by: Power Law, Herschel–Bulkley, and Bird-Carreau models. The most accurate model is used in the further CFD simulations of these materials through two different types of 3D printing nozzles: 18G and 22G. The results showed how shear stress is influenced by the viscosity properties. Moreover, the effect of shear-thinning properties on the printability of materials is discussed.
Numerical simulation of localized climate scenarios impacts on vegetation co2 fluxes in the madrid region (spain) with the wrf/chem-vprm model
Authors: San Jose Roberto , Perez-Camanyo Juan Luis
Published: July 2024

The Vegetation Photosynthesis and Respiration Model (VPRM) integrated with the Weather Research Forecasting with Chemistry (WRF/Chem) model was used to model anthropogenic and biosphere CO2 fluxes and their subsequent transport and dispersion over the Madrid Region. Dynamic downscaling of global climate model results was used for four climate scenarios derived from the 6th Coupled Model Intercomparison Project (CMIP6) for a period between 2015 and 2050. Our results show spatial-temporal variations in CO2 concentration, biosphere fluxes and the global budget (comprising both biogenic and anthropogenic emissions) at three different spatial resolutions: 27 km, 9 km and 3 km, using a nested approach The WRF/Chem-VPRM simulations were used to find sinks and major emitting areas and to quantify the CO2 emission budget as the sum of anthropogenic and natural CO2 emissions. In metropolitan areas such as Madrid, anthropogenic fluxes were found to predominate. In the SSP370 scenario, biogenic CO2 emissions showed a higher magnitude compared to other scenarios, attributable to a projected temperature increase in this scenario for the simulated region, even higher than that projected for the SSP585 scenario.
Automated generation of decision trees for decoding irregular instruction sets
Authors: Tadros Lillian
Published: July 2024

Instruction decoders are an integral part of the SoC design flow as elements of processor toolchains and instruction set simulators. The strenuous and error-prone process of manual decoder design can be greatly mitigated by automated decoder generation tools based on high level instruction definitions. Unfortunately, automatic generation is challenged by the growing complexity of instruction sets as well as irregularities such as non-uniform opcodes, logic propositions on bit fields and multiple or nested specializations. The few available state-of-the-art decoder generation tools either cannot be applied to irregular instruction sets, or produce partially wrong results. As to performance, they either attempt no optimization, make heavy use of heuristics or adopt unsatisfactory cost models. This paper presents two algorithms for generating decoders for irregular instruction sets that produce functionally correct decoders with acceptable cost. Our algorithm has been successfully applied to the SPARC, MIPS32 and ARMv7 instruction sets.
Finite capacity multi-server job systems: a simulation study
Authors: Waqas Muhammad , Maccari Leonardo , Marin Andrea
Published: July 2024

Cloud computing has revolutionized how computational resources are accessed and utilized. However, the dynamic nature of the cloud computing environment, which is characterized by a variety of resource types and capabilities presents challenges for managing the workload and ensuring the quality of service. The selection and implementation of queueing policies can have a major impact on the efficiency of the cloud environment, and thus on the quality of service experienced by the end users. Understanding the performance metrics of different queueing policies in cloud computing environments with scalable resource management is essential for both cloud service providers and consumers. In response to this, our work aims to evaluate the effectiveness of some queueing policies in cloud environments characterized by dynamic resource allocation with a particular emphasis on their dropping probabilities. We proposed a simulation approach that combines the development of an accurate simulation model of a cloud computing environment with adaptable resource management, along with a comprehensive performance analysis of different queueing policies including First-Come-First-Serve and Priority queueing. The result revealed that assigning priority to jobs with longer service times and larger resource demands has a positive impact on small jobs as well.