bluuebunny/crossref_metadata_2025_split huggingface dataset:
On motivation and enterprise education – ensuring manageable goals and objectives
Authors: Isle Timothy , Mostert Andre 
Published: June 2024

There is growing recognition that the standard approach to motivation, referred to as Motivation 2.0 is not necessary adequate for assessing the contemporary drivers for students and budding entrepreneurs. Some have argued that the concept of goal setting may act as much as an inhibitor as a motivator. This perspective on goal setting can, prima facie, be very relevant to the entrepreneurial educator. In this research exercise the contemporary thinking on motivation and motivational approached will be explored and applied to the development of entrepreneurial education curriculum development and pedagogic structures. Those entrusted with the nurturing and development of any innate entrepreneurial potential must ensure that the teaching and learning environment is dynamic and as individualized as possible. Key to any individualized delivery mechanism is a coherent understanding of motivational factors and activities. Effective curriculum development for entrepreneurial training demands an integrated understanding of motivators which must be driven extracurricular, while enterprise education continues to become embedded in educational delivery structures. This paper addresses these demands and acts as a primer for how this could be achieved.
Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles
Authors: Ghalwash Mohamed , Anand Vibha , Ng Kenney , Dunne Jessica L. , Lou Olivia , Lundgren Markus , Hagopian William A. , Rewers Marian , Ziegler Anette-G. , Veijola Riitta ,   T1DI Study Group, Ziegler Anette G. , Bonifacio Ezio , Achenbach Peter , Winkler Christiane , Rewers Marian , Frohnert Brigitte I. , Norris Jill , Steck Andrea , Waugh Kathleen , Yu Liping , Hagopian William A. , Killian Michael , Wolf Angela , Meyer Jocelyn , Crouch Claire , Radtke Jared , Lernmark Åke , Larsson Helena Elding , Lundgren Markus , Maziarz Marlena , Spiliopoulos Lampros , Jönsson Josefin , Veijola Riitta , Toppari Jorma , Ilonen Jorma , Knip Mikael , Anand Vibha , Ghalwash Mohamed , Ng Kenney , Li Zhiguo , Kwon B.C. , Stravopolous Harry , Koski Eileen , Malhotra Ashwani , Moore Shelley , Hu Jianying , Dunne Jessica , Liu Bin , Li Ying , Lou Olivia , Martin Frank 
Published: June 2024

OBJECTIVE
To characterize distinct islet autoantibody profiles preceding stage 3 type 1 diabetes

RESEARCH DESIGN AND METHODS
The T1DI (Type 1 Diabetes Intelligence) study combined data from 1,845 genetically susceptible prospectively observed children who were positive for at least one islet autoantibody: insulin autoantibody (IAA), GAD antibody (GADA), or islet antigen 2 antibody (IA-2A). Using a novel similarity algorithm that considers an individual’s temporal autoantibody profile, age at autoantibody appearance, and variation in the positivity of autoantibody types, we performed an unsupervised hierarchical clustering analysis. Progression rates to diabetes were analyzed via survival analysis.

RESULTS
We identified five main clusters of individuals with distinct autoantibody profiles characterized by seroconversion age and sequence of appearance of the three autoantibodies. The highest 5-year risk from first positive autoantibody to type 1 diabetes (69.9%; 95% CI 60.0–79.2) was observed in children who first developed IAA in early life (median age 1.6 years) followed by GADA (1.9 years) and then IA-2A (2.1 years). Their 10-year risk was 89.9% (95% CI 81.9–95.4). A high 5-year risk was also found in children with persistent IAA and GADA (39.1%) and children with persistent GADA and IA-2A (30.9%). A lower 5-year risk (10.5%) was observed in children with a late appearance of persistent GADA (6.1 years). The lowest 5-year diabetes risk (1.6%) was associated with positivity for a single, often reverting, autoantibody.

CONCLUSIONS
The novel clustering algorithm identified children with distinct islet autoantibody profiles and progression rates to diabetes. These results are useful for prediction, selection of individuals for prevention trials, and studies investigating various pathways to type 1 diabetes.
Superantigen Encoding Genes in Staphylococcus aureus Isolated from Lesional Skin, Non-Lesional Skin, and Nares of Patients with Atopic Dermatitis
Authors: Ratusznik Natalia , Edslev Sofie Marie , Stegger Marc , Söderquist Bo 
Published: June 2024

Patients with atopic dermatitis (AD) are more likely than healthy individuals to harbour Staphylococcus aureus on their skin. Superantigens (SAgs) produced by specific S. aureus strains may contribute to AD-associated skin inflammation. The present study compared the prevalence and types of SAg-encoding genes between S. aureus isolated from patients with AD and from controls, and within the AD group between isolates from different sampling sites (lesional skin, non-lesional skin, and nares). This retrospective case-control study extracted data from 2 previous studies that examined S. aureus using whole-genome sequencing. The 138 S. aureus isolates obtained from 71 AD patients contained 349 SAg-encoding genes; 22 (6.3%) were found in isolates from nares (0.4 ± 0.6 genes per isolate), 99 (28.4%) in isolates from non-lesional skin (3.7 ± 3.9), and 228 (65.3%) in isolates from lesional skin (4.2 ± 4.5). S. aureus (n = 101) from the control group contained 594 SAg-encoding genes (5.9 ± 4.2). Of the S. aureus isolated from lesional AD skin, 69% carried at least 1 gene encoding SAg compared with 33% of AD nasal isolates. SAg could be a factor in the pathogenesis of a subset of AD patients.
CAN DIFFERENT LEARNING STYLES IMPACT EFL LEARNERS' TOEFL ACHIEVEMENT?
Authors: Palupi Asti Diah , Suwartono Tono , Sukawati Dewi 
Published: June 2024

Educators need insights into how various learning styles can influence learners' performance in assessments. Exploring the impact of different learning styles on EFL learners' TOEFL reading achievement is a multidimensional endeavor with implications for educators, learners, and the broader society. This study aims to investigate the extent to which vocational diploma EFL learners acquired English based on their preferred learning styles. The ex-post facto design was used for this study. As many as 37 participants were selected purposely from all majoring fourth semester students at an EFL vocational diploma college. A questionnaire was used to divide the participants into three groups depending on their preferred learning styles: visual, auditory, and kinesthetic. A TOEFL reading test was employed to measure the participants’ English proficiency. The average scores for each learning style group were calculated and revealed that visual learners had an average TOEFL reading score of M=43.22, kinesthetic learners had an average TOEFL reading score of M=38.70, and auditory learners had an M=35.00. To statistically compare these averages, one-way analysis of variance (ANOVA) was used. The ANOVA results showed a non-significant finding with df=2, F=1.102 and P=0.344. The findings revealed that the TOEFL reading comprehension scores of students with different learning styles did not differ significantly. This study contributes to the ongoing discourse surrounding individualized learning experiences and standardized language assessments. As the field of language education continues to evolve, further research will be pivotal in refining pedagogical practices to better meet the diverse needs of learners striving to excel in their language proficiency endeavors.
THE ANALYSIS OF TASKS PRESENTED IN KURIKULUM MERDEKA TEXTBOOK ENGLISH FOR NUSANTARA
Authors: Damayanti Irma , Mukarto Fransiskus Xaverius 
Published: June 2024

English language textbooks play an essential role in presenting learning material and assisting students in acquiring language skills. Most Indonesian teachers heavily depend on textbooks; however, they often lack knowledge about the task types employed in textbooks. The study aims to analyze the tasks in the English textbook and the types of tasks presented in the English textbook English for Nusantara. English for Nusantara is the primary sourcebook for seventh and eighth-grade junior high school students in Kurikulum Merdeka. The analysis was conducted by utilizing Nunan's (1990) typology of tasks to determine the different categories and frequency of tasks within the textbooks. Stratified random sampling was used for this research, and tasks were taken from two different units in each textbook. The findings indicated that the textbooks comprise various types of tasks, and each of the textbooks emphasized distinct task types. The seventh-grade textbook places a greater emphasis on cognitive tasks, whereas the eighth-grade textbook places a greater emphasis on interpersonal tasks. Nonetheless, the task distribution is unbalanced, and certain categories of tasks remain unaddressed in both textbooks; specifically, creative and affective tasks are absent.
Phylogenetic Tree Construction of Gamma Coronavirus Genera and SARS-CoV-2
Authors: Khudair Abbas Al-Khafaji Alaa , Bashar Talib Al-Nuaimi  
Published: June 2024

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has spread worldwide. Therefore, this study aimed to build a phylogenetic tree of complete genomes of SARS-CoV-2 and other species of Gamma coronavirus to explore the possibility of finding the evolutionary relationships between them and wished to analyze them in order to forecast the best trees illustrating the sequences' evolutionary relationships and obtain a well-supported phylogenetic tree by using the Neighbor-Joining (NJ) and Maximum Likelihood (ML) methods after performing multiple sequence alignment (MSA). This study utilized 16 isolates of Gamma coronavirus species and SARS-CoV-2 retrieved from the NCBI (National Center for Biotechnology Information) database for this investigation. The experimental outcomes when applying the two methods to the same dataset show that a well-supported and trustworthy phylogenetic tree was obtained with a bootstrapping value of 100% for all branches of the tree when applying the ML method. Additionally, a well-supported and fast-constructing phylogenetic tree was obtained through the NJ method for all branches except one, where the bootstrapping value appeared to be 56%. The research was conducted in 2022 at the College of Science, Diyala University.
Optimizing the Structures of Transformer Neural Networks Using Parallel Simulated Annealing
Authors: Trzciński Maciej , Łukasik Szymon , Gandomi Amir H. 
Published: June 2024

Abstract
The Transformer is an important addition to the rapidly increasing list of different Artificial Neural Networks (ANNs) suited for extremely complex automation tasks. It has already gained the position of the tool of choice in automatic translation in many business solutions. In this paper, we present an automated approach to optimizing the Transformer structure based upon Simulated Annealing, an algorithm widely recognized for both its simplicity and usability in optimization tasks where the search space may be highly complex. The proposed method allows for the use of parallel computing and time-efficient optimization, thanks to modifying the structure while training the network rather than performing the two one after another. The algorithm presented does not reset the weights after changes in the transformer structure. Instead, it continues the training process to allow the results to be adapted without randomizing all the training parameters. The algorithm has shown a promising performance during experiments compared to traditional training methods without structural modifications. The solution has been released as open-source to facilitate further development and use by the machine learning community.
Erinnerungsethik
Authors: Möbuß Susanne 
Published: June 2024

Das Erinnern an den Holocaust und an andere Genozide ist immer wieder und auch aktuell Gegenstand heftiger Diskussionen. Diese werden jedoch nicht selten im Sinne politischer oder ideologischer Interessen geführt; das Erinnern wird zum Spielball tagespolitischer Auseinandersetzungen. Doch Erinnern ist Ausdruck existentieller Verantwortung. Dieser Einsicht entsprechend wird in diesem Band die ethische Bedeutung des Erinnerns philosophisch reflektiert und eine Ethik des Erinnerns erarbeitet. Die Grundlage hierfür bildet eine kritische Auseinandersetzung mit den Mitteln der Existenzphilosophie.
PENGARUH KEGIATAN GUGUS KENDALI MUTU TERHADAP PENINGKATAN KUALITAS PRODUK (STUDI KASUS PADA PT INDONESIA NIPPON SEIKI KABUPATEN SERANG PROVINSI BANTEN)
Authors: Masruri Masruri 
Published: June 2024

Tujuan dari penelitian ini adalah menganalisa pengaruh kegiatan gugus kendali mutu terhadap peningkatan kualitas produk (studi kasus pada PT Indonesia Nippon Seiki Kabupaten Serang Provinsi Banten). Penelitian ini menggunakan pendekatan R&amp;D. Analisa data dengan menggunakann Gugus Kendali Mutu (GKM). Gugus Kendali Mutu. Berdasarkan hasil penelitian dapat disimpulkan bahwa kegiatan gugus kendali mutu memiliki pengaruh signifikan dalam meningkatkan kualitas produk di PT Indonesia Nippon Seiki Kabupaten Serang Provinsi Banten
STRATEGI CONTENT MARKETING DALAM MENINGKATKAN KEPERCAYAAN PELANGGAN PADA LABELLA HIJAB PACIRAN LAMONGAN
Authors: Afrianti Diah Laili Dwi , Suyitno Suyitno , Fikiri Ahmad Zainal , Alfudhoili Andi Aufa Zulal , Azhar Muhammad Yani , Purnama Muhammad Agus 
Published: June 2024

<p><em>This study aims to explore the implementation of content marketing strategies in increasing customer trust in a women's clothing store located in Sendangagung, Paciran, Lamongan called Labella Hijab using qualitative research methods. </em><em>The content marketing strategy implemented by Labella Hijab went well, in the type of content marketing, Labella Hijab launched three types of content, including: Q&amp;A, tutorials, and announcements. Labella Hijab customers meet all the characteristics of customer trust. Namely: maintaining relationships, accepting influence, being open in communication, reducing supervision, patience, providing defense, giving positive information, accepting risk, comfort, and also satisfaction. Labella Hijab has also succeeded in forming three types of Labella Hijab customer trust, including: object-benefit type, benefit-attribute, and benefit-object. Customer trust built by Labella Hijab through content marketing has increased positively.</em></p>
Evaluation of Hydraulic Structures for Agricultural Discharge Optimization
Authors: Kazem Fatima H. , Maatooq Jaafar S. , Wahad Mohammed S. 
Published: June 2024

The objective of the research was to evaluate the hydraulic structures on the Al-Gharraf River in southern Iraq and their ability to achieve the required discharge for agricultural areas that depend on them. Al-Gharraf head regulator discharges unstable volumes of water, ranging from 280 m3/s in winter to 100 m3/s in summer. The research aimed to determine whether the operational discharges are achievable for the offtakes branching from the Al-Gharraf River when the river's discharge ranges from 60% to 100% of the operational discharge. The researchers utilized a simulation of the irrigation channel (SIC) model to simulate river flow. The researchers used hydraulic indicators such as Delivery Performance Ratio (DPR), Discharge Deviation (∆Q), and Sensitivity (S) to evaluate the work of the hydraulic structures (regulators), determine the more and less efficient regulators in delivering water to the offtakes, and determine the reasons for inefficiency. Depending on the discharge values for each offtake from simulation results by SIC and calculating the hydraulic indicators, it is observed that some offtakes exceed their operational discharges, such as Al-Zydia and Al-Sabila. Also, some offtakes do not receive their operational discharge (Al-Dawaiya, Shatt Al-Shatra, and Al-Basra) projects, which failed to reach even 10% of their operational discharges. The researchers suggest redesigning some offtakes and ensuring reasonable control of gate openings for other offtakes to make the water distribution proportional. Doi: 10.28991/CEJ-2024-010-05-010 Full Text: PDF
Experimental and Numerical Research on the Behavior of Steel Columns with Circular Hollow Cross Sections
Authors: Grajçevci Florim , Mujaj Armend , Kryeziu Driton , Rrudhani Guxim , Shkodrani Neritan 
Published: June 2024

A circular, hollow tubular steel column is introduced for experimental and analytical analysis in this study. A series of axial compression tests for the variation of static schemes are reported in this study. All theoretical, numerical, and experimental analyses are based on the European Standards for the steel structure, respectively EN 1993-1-1. The experimental models of steel columns are conducted on actual steel columns with a length of 3000 mm and a circular hollow section of 114.3/2.8 mm. To assess the behavior and stress values of the columns, various schematically supported systems are modeled, starting from the axial-centered columns to the symmetrical eccentric load and asymmetrical loaded columns. 3D modeling of the steel columns using the finite element program SEISMOSOFT is also developed for such elements. The accuracy of the model is compared with the experimental results using numerical analysis by the finite element method. Finally, the numerical comparison of the results provides a recommendation for the engineers regarding the design and construction of such columns. Doi: 10.28991/CEJ-2024-010-05-014 Full Text: PDF
Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams
Authors: Shrif Mazen , Al-Sadoon Zaid A. , Barakat Samer , Habib Ahed , Mostafa Omar 
Published: June 2024

Corrugated web steel systems, such as corrugated web girders (CWG) and beams (CWSB), have the potential to influence the modern construction industry due to their unique properties, including enhanced shear strength and reduced necessity for transverse stiffeners. Nevertheless, the lack of a rapid and accurate design approach still limits its wide applications. Recently, gene expression programming (GEP) has been employed to predict the shear capacity of cold-formed steel channels, demonstrating superior predictive accuracy and compliance with established standards. This study applies GEP to predict the shear capacity of sinusoidal CWSBs and optimizes its predictive performance by employing a systematic grid search to explore combinations of chromosomes, head sizes, gene counts, and linking functions. The process involved testing 19 different parameter combinations and more than 60 developed models. The findings include the sensitivity of the model's performance to gene count and the critical role of the linking function. The optimal model in the study, GEP13, achieved R² of 0.95, an RMSE of 100.5, and an MAE of 86.6 in the testing dataset with 150 chromosomes, a head size of 12, and four genes using a multiplication linking function. Doi: 10.28991/CEJ-2024-010-05-02 Full Text: PDF
Integration of Blockchain-Enabled Smart Contracts in Construction: SWOT Framework and Social Network Analysis
Authors: Ghaly Monica , Elbeltagi Emad , Elsmadony Adel , Tantawy Mohamed A. 
Published: June 2024

The construction sector, one of the most ancient industries globally, holds a crucial role in the progress and development of societies. However, it faces persistent productivity and efficiency challenges, rendering it a relative setback when compared to other sectors. In the ever-evolving landscape of the construction industry, characterized by complex projects, numerous stakeholders, and intricate contractual agreements, the integration of emerging technologies presents an unprecedented opportunity for transformation. Smart contracts (SCs), underpinned by blockchain (BC) technology, hold the potential to streamline and revolutionize traditional construction processes. Current literature shows a lack of comprehensive quantitative understanding of how Blockchain-enabled Smart Contracts (BSC) can affect the construction sector. To address this gap, the authors have (1) conducted a systematic keyword analysis of literature on SC in construction from Scopus and Web of Science (WoS) databases; (2) conducted a strengths–weaknesses–opportunities–threats (SWOT) analysis of BSC’s adoption in the construction industry from 174 peer-reviewed papers; (3) identified a holistic list of 72 factors steering BSC adoption in construction, categorized into the 4 aspects of the SWOT framework; (4) performed social network analysis (SNA) to quantitively assess the literature in terms of the identified factors; and (5) conducted clustering analysis to categorize combination of factors frequently highlighted in research publications into common groups. This research offers a comprehensive and methodical evaluation of the potential advantages, applications, and challenges associated with integrating BSC in the construction industry. The findings of SNA and clustering reveal a notable lack of investigation into certain combinations of factors in existing academic research. This disparity and the ensuing knowledge gaps may affect SC’s adoption in the construction sector. To this end, this study equips stakeholders with the insights necessary to make informed decisions in this rapidly evolving sector and contributes to a roadmap for future BSC construction-related research. Doi: 10.28991/CEJ-2024-010-05-020 Full Text: PDF