bluuebunny/crossref_metadata_2025_split huggingface dataset:
UNLOCKING THE FUTURE OF MATERNAL HEALTH: PLATELET INDICES AS PREDICTORS OF PRE-ECLAMPSIA
Authors: SHARMA SONAKSHI , SHARMA ANOOP , SYAL GEETIKA GUPTA 
Published: November 2023

Objective: Pre-eclampsia is a serious complication of pregnancy, posing significant risks to maternal and fetal health. Predictive indicators for this condition are essential for early diagnosis and management. Platelet indices, including platelet count (PC), platelet distribution width (PDW), mean platelet volume (MPV), and platelet crit (PCT), are potential biomarkers for pre-eclampsia due to their association with coagulation abnormalities. This study aims to investigate the utility of platelet indices in predicting pre-eclampsia.
Methods: The study was conducted at Kamla Nehru State Hospital for Mother and Child, Shimla, Himachal Pradesh, from March 1, 2021, to February 28, 2022. Normotensive pregnant women with singleton pregnancies after 20 w of gestation were included, and those with pre-existing conditions were excluded. Platelet indices were measured throughout pregnancy, and patients were categorized based on the development and severity of pre-eclampsia. Data were analyzed using SPSS-PC-25, and statistical tests were performed to determine the significance of platelet index variations.
Results: The study reveals significant differences in platelet indices between normotensive and preeclampsia (PE) patients. PE patients exhibited elevated mean platelet volume (MPV), decreased platelet count, and increased platelet distribution width (PDW) compared to normotensive individuals. Notably, MPV increased significantly in PE, preceding blood pressure elevation. Platelet count decreased significantly in severe PE cases. Receiver Operating Characteristic (ROC) curve analysis demonstrated the potential of platelet count and MPV as predictors for PE. These findings underscore the relevance of platelet indices in PE diagnosis and highlight their potential utility as early markers of this hypertensive disorder during pregnancy.
Conclusion: Platelet indices, particularly platelet count, MPV, and PDW, hold promise as early markers for predicting and monitoring pre-eclampsia. Monitoring platelet indices alongside blood pressure could aid in assessing the severity and progression of the condition, contributing to improved maternal and fetal outcomes. Further research in this area is warranted to refine predictive models and enhance clinical utility.
Employees’ Turnover Intention in Malaysian Manufacturing Company
Authors: Romaiha Noor Rafhati , Othman Rozana , Alias Nurul Ezaili , Mizi Siti Aisyah Nabilah , Mohamad Roseli Nur Hazwani , Abdul Karim Zatul Himmah 
Published: November 2023

Employee turnover is a significant issue in human resource management, which refers to the employees’ willingness to leave their current organization within a predetermined time frame. Thus, it is essential to pinpoint the factors affecting this decision, which include salary, working environment, employer-employee relationship, and leadership styles. The primary data was collected from a sample of 136 employees from a manufacturing company in Johor, Malaysia, and all questionnaires were successfully collected from the respondents. The data were analyzed using the Statistical Package for the Social Sciences (SPSS) software version 23, and Pearson Correlation and regression analysis were carried out to investigate the influences between the variables. The results from the correlational study revealed that all independent variables have a negative relationship with the dependent variable. Multiple regression analysis showed that the four independent variables substantially explain 54% of the variance for employee turnover intention. However, when assessing the coefficient for each independent variable, only salary, employer-employee relationships, and leadership styles were significant, and the remaining variable was insignificant. For future research, it is recommended that an explicit sample size should be adopted so that the findings can be generalized to other similar populations.
The Effect of Conceptual Factors on Small and Medium-Sized Enterprises Business Success in Malaysia
Authors: Husain Nor Azmawati , Abd Rashid Intan Maizura , Norhisham Norshiba , Mohd Noor Nor Hamiza , Kamarolzaman Noraishah 
Published: November 2023

This study was purposely conducted to examine the influence of conceptual factors such as external environment (i.e. government support and information access) and managerial expertise (i.e. business planning and entrepreneurial skills) on SMEs business success in Malaysia. The main objectives are to examine which factors that influences most on SMEs' business success. A survey was administered through a face-to-face approach to 115 individuals who run the SME business. We utilized SPSS version 20 software and analyzed the data using multiple regression analysis to test the hypothesis. Findings showed a significant relationship between all tested variables (government support, information access, business planning & entrepreneurial skills) and the dependent variable (business success of SME). Through multiple regression analysis, although all variables tested have a significant effect on SMEs' success, however, a greater influence is shown by entrepreneurial skills on the probability of SMEs' success. Findings are expected to contribute to improve the understanding of the obstacles or challenges that might be faced by SMEs. These findings also benefit policymakers and development partners to formulate policies related to improvement for SMEs. The useful information will help the SMEs continue to grow. At the same time, the government also can promote the development of competitive, innovative, and resilient SMEs through effective coordination and provision of business support that focuses on improving entrepreneurial skills. The research is useful for development partners in developing programs including searching for funds. Lastly, this study hopes to contribute to the body of knowledge concerning SMEs in Malaysia.
ACERVO FOTOGRÁFICO DO CENTRO DE MEMÓRIA DO CENTRO UNIVERSITÁRIO ADVENTISTA DE SÃO PAULO
Authors: Ribeiro Francisco Carlos 
Published: November 2023

Centro de Memória Roberto César de Azevedo
Para a presente publicação foram selecionadas 21 fotografias do acervo fotográfico existente no Centro de Memória, localizado no campus Centro Universitário Adventista de São Paulo. Algumas imagens foram capturadas por drone e outras originadas de acervos familiares.
Trends and Advances on The K-Hyperparameter Tuning Techniques in High-Dimensional Space Clustering
Authors: Gikera Rufus Kinyua , Mwaura Jonathan , Maina Elizaphan , Mambo Shadrack 
Published: November 2023

Clustering is one of the tasks performed during exploratory data analysis with an extensive and wealthy history in a variety of disciplines. Application of clustering in computational medicine is one such application of clustering that has proliferated in the recent past. K-means algorithms are the most popular because of their ability to adapt to new examples besides scaling up to large datasets. They are also easy to understand and implement. However, with k-means algorithms, k-hyperparameter tuning is a long standing challenge. The sparse and redundant nature of the high-dimensional datasets makes the k-hyperparameter tuning in high-dimensional space clustering a more challenging task. A proper k-hyperparameter tuning has a significant effect on the clustering results. A number of state-of-the art k-hyperparameter tuning techniques in high-dimensional space have been proposed. However, these techniques perform differently in a variety of high-dimensional datasets and data-dimensionality reduction methods. This article uses a five-step methodology to investigate the trends and advances on the state of the art k-hyperparameter tuning techniques in high-dimensional space clustering, data dimensionality reduction methods used with these techniques, their tuning strategies, nature of the datasets applied with them as well as the challenges associated with the cluster analysis in high-dimensional spaces. The metrics used in evaluating these techniques are also reviewed. The results of this review, elaborated in the discussion section, makes it efficient for data science researchers to undertake an empirical study among these techniques; a study that subsequently forms the basis for creating improved solutions to this k-hyperparameter tuning problem.
Pengaruh Model Pembelajaran Missouri Mathematics Project Berbantuan Math City Map terhadap Kemampuan Berpikir Kritis Matematis Siswa
Authors: Febrian Seprial Alit , Rahmawati Fadhilah , 'Adna Syita Fatih 
Published: November 2023

Tujuan dari penelitian ini adalah untuk menganalisis kemampuan berpikir kritis matematis siswa yang diterapkan model pembelajaran Missouri Mathematics Project berbantuan Math City Map lebih baik daripada siswa yang diterapkan model pembelajaran langsung berbantuan Math City Map pada materi bangun ruang sisi datar. Selain itu, juga untuk menganalisis peningkatan kemampuan berpikir kritis matematis siswa pada penerapan model pembelajaran Missouri Mathematics Project berbantuan Math City Map pada materi bangun ruang sisi datar. Metode penelitian yang digunakan adalah penelitian kuantitatif. Desain penelitian yang digunakan eksperimen semu yaitu pretest-posttest control group design. Teknik pemilihan sampel menggunakan cluster random sampling. Subjek penelitian adalah siswa kelas VIII SMP N 3 Magelang. Teknik pengumpulan data menggunakan observasi, wawancara, tes, dan angket. Uji hipotesis pertama dengan uji Independet sample t-Test diperoleh sehingga ditolak. Pada pengujian hipotesis kedua menggunakan uji Paired Sample t-Test diperoleh sehingga ditolak serta hasil analisis N-gain adalah 0,829. Kesimpulan pada penelitian ini kemampuan berpikir kritis matematis siswa yang diterapkan model pembelajaran Missouri Mathematics Project berbantuan Math City Map lebih baik daripada siswa yang diterapkan model pembelajaran langsung berbantuan Math City Map. Selain itu, kemampuan berpikir kritis matematis siswa yang diterapkan model pembelajaran Missouri Mathematics Project berbantuan Math City Map mengalami peningkatan dengan berkriteria tinggi.
PENGARUH MEDIA PEMBELAJARAN KARTU DOMINO TERHADAP HASIL BELAJAR KOGNTIF SISWA
Authors: Aprilianti Dwi Arum , Muzani Muzani , Setianingsih Asma Irma 
Published: November 2023

ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh media pembelajaran kartu domino terhadap hasil belajar kognitif siswa. Penelitian ini menggunakan metode kuantitatif melalui pendekatan kuasi eksperimen yang pengambilan sampelnya menggunakan teknik Purposive Sampling pada materi litosfer di SMAN 3 Tangerang. Pertimbangan pengambilan sampel didasarkan pada nilai rata-rata PAS dan jumlah siswa yang sama. Adapun sampel yang dipilih yaitu kelas X.2 sebagai kelas eksperimen dan kelas X.5 sebagai kelas kontrol. Data dikumpulkan melalui observasi, tes, angket dan dokumetasi. Hasil penelitian menunjukan bahwa penggunaan media kartu domino memberikan pengaruh signifikan dalam meningkatkan hasil belajar pada materi litosfer. Terjadi peningkatan nilai rata-rata kelas eksperimen lebih tinggi yaitu sebesar 54% dibandingkan kelas kontrol yaitu sebesar 45%. Berdasarkan hasil Uji Independent Sample T-Test diperoleh nilai Sig. (2-tailed) 0,04 < 0,05, yang berarti H0 ditolak dan Ha diterima. Artinya terdapat pengaruh media pembelajaran kartu domino terhadap hasil belajar kognitif siswa pada materi litosfer di SMAN 3 Tangerang. Kata Kunci: Media Pembelajaran, Kartu Domino, Hasil Belajar Kognitif
Plastic Pellets in the Sandy Sediment of Beaches on the Middle Coast of Rio Grande do Sul, Brazil
Authors: Schneider Ingrid , Maffessoni Daiana 
Published: November 2023

Purpose: Pellets are plastic granules used in the industry to manufacture many materials and can be lost to the environment throughout the production chain. This study evaluated the number of pellets on beaches, on the middle coast of the state of Rio Grande do Sul, a region with low urban agglomeration, and few studies on this topic. The quantity found in relation to the distance from the port of Rio Grande was also evaluated.

Method: The collection of sandy sediment occurred in three seasons of the year and, for each beach, quadrants were sampled at the mark of the last high tide

Results and conclusion: 96.26% of the pellets were collected in spring, 3.74% in autumn, and none in summer. Storm events and large amounts of organic matter may explain the result in spring, while strong winds may have influenced the summer collection. The results found did not show a direct relationship with the distance from the Port, since there was no well-defined distribution pattern.

Research implications: It is essential to map the loss of pellets in the environment, including in sparsely urbanized areas. Pellets can be lost during transport at sea, where currents and winds can carry them to different regions. Therefore, control and management measures for losses of these materials are necessary.

Originality/value: The work is unprecedented and maps pollution by plastic pellets on beaches with little anthropogenic activity in Rio Grande do Sul. The results indicate that is important an integrate coastal management.
Selection of Area for the Implementation of a Landfill in the City of Canindé – CE
Authors: Da Silva Karina Albuquerque , Nunes Ana Bárbara de Araújo 
Published: November 2023

Objective: The objective of this work is to apply multi-criteria analysis to choose a suitable area for the implementation of a sanitary landfill in the city of Canindé.

Theoretical Reference: This study covers concepts and theories related to waste management, environmental impact, legal regulations and best practices in sanitary engineering, focusing on the final disposal of solid waste and the importance of the best decision to choose an area for landfills.

Methods: The methodological procedure was carried out through the application of the PROMETHEE I and PROMETHEE II methods using the Visual Promethee Academic software.

Results and conclusion: The result shows that among the four alternatives analyzed, Alternative 3 is the best choice considering the criteria established in accordance with Brazilian legislation pertaining to landfills.

Research implications: This research involves several implications of considerable magnitude. These implications include the environmental impact and quality of life of the local population, public health issues, economic impacts, as well as legal and regulatory considerations, making this topic of critical social and environmental relevance, with significant consequences for the community and sustainability. long term of the city.

Originality/value: This research has social, economic, scientific and environmental relevance, both due to the data analysis and the originality of the discussions offered.
Erratum to “Development and Validation of the Islamic Work Exemplary Scale in Indonesia” [Islamic Guidance and Counseling Journal 6(2) 2023]
Authors: Sumin Sumin , Retnawati Heri , Sayadi Wajidi 
Published: November 2023

Refers to:Sumin, S., Retnawati, H., & Sayadi, W. (2023). Development and Validation of the Islamic Work Exemplary Scale in Indonesia. Islamic Guidance and Counseling Journal, 6(2). https://doi.org/10.25217/0020236392000Erratum:The authors requested a revision to the abstract in the original publication of this article. Specifically, at the behest of the corresponding author, the phrase "test validity and reliability" was amended to "Validity and Reliability checking". Subsequently, this correction has been implemented in the original article.
Hardware Engineering of Hazardous Gas and Alcoholic Substances Detector in Meat Using Microcontroller and Gas Sensor
Authors: Suwarno Iswanto , Purwono Purwono , Ma'arif Alfian 
Published: November 2023

Meat may provide not only essential nutritional content but also possible harmful effects on human bodies. Unsafe consumption of meat potentially triggers colorectal cancer risks. Grilling is the most popular way to consume meat. However, meat grilling triggers the formation of hazardous chemical substances such as poisonous Polycyclic Aromatic Hydrocarbons (PAHs). This study conducted experiments using hardware engineering with microcontrollers and different gas sensors, aiming to identify gas substances produced by meat during grilling. The hardware prototype for the test simulation tool was assembled with integrated block systems and circuits. Evaluations were conducted on the direct grilling of three different types of meat. The data results were then utilized to analyze gas substances produced by meat during direct grilling. Based on the results, only five of the seven MQ-type gas sensors used in the research reacted to gas substances produced by all types of meat: LPG, alcohol, carbon monoxide, methane, and carbon dioxide, which were successfully detected in meat during grilling. Our research contributes to discovering a potential prevalence of increased alcoholic content in meat that has been grilled for five minutes. This finding is especially crucial for Muslims since it is highly correlated with halal certification of meat consumption. According to the results, Muslims should wait at least seven minutes or more after direct grilling to let the alcoholic content in meat thoroughly decrease so that it can be safely certified as halal to be consumed according to Islamic laws. Doi: 10.28991/HIJ-2023-04-03-01 Full Text: PDF
An Innovative Mobile Application for Wellness Tourism Destination Competitiveness Assessment: The Research and Development Approach
Authors: Phuthong Thadathibesra , Anuntavoranich Pongpun , Chandrachai Achara , Piromsopa Krerk 
Published: November 2023

Objectives: This research developed and evaluated the effectiveness of an innovative mobile application for wellness tourism destination competitiveness and also studied the adoption effectiveness of this application. Methods/Analysis: A mixed-methods research and development approach was applied to construct a wellness tourism destination competitiveness evaluation model for qualitative research using in-depth interviews, followed by quantitative research using a questionnaire. Weighted scores of criteria and indicators for wellness tourism destination competitiveness were evaluated by the DEMATEL method. The cut-off points for classifying the competitiveness level were set by K-means cluster analysis, while the internal and external accuracy of the model were validated by the confusion matrix technique and the Kruskal-Wallis test. The innovative mobile application was developed using a linear waterfall conceptual design consisting of five software development phases: requirement, design, implementation, verification, and maintenance. A questionnaire was also used to assess the adoption and commercialization of the innovative mobile application. Findings: Results showed that 1) the model gave high accuracy with the confusion matrix technique at 85.42% and the Kruskal-Wallis test classified destination competitiveness at a significance level of 0.0001; and 2) the level of adoption of the innovative mobile application was high. Target users were interested in purchasing a license as the commercial mode of the program. Novelty/Improvement:This research provides a tool to assess the overall competitiveness of wellness tourism destinations. Results can be used to support decision-making and provide practical suggestions for wellness tourism cluster users to adapt when conducting their own competitiveness assessment. The competitiveness assessment results were accurate and in line with the research objectives. Doi: 10.28991/HIJ-2023-04-03-010 Full Text: PDF
Deep Learning: A Study of Pattern Recognition for Personalized Clothing
Authors: Zhao JIng , Zhu Hongdi , Liu Bing 
Published: November 2023

Objectives: This article aims to enhance the efficiency of clothing recognition and retrieval by implementing deep learning algorithms for personalized clothing pattern recognition. Methods: Based on the you only look once version 4 (YOLOv4) algorithm in deep learning, the CSPDarknet-53 in the original algorithm was replaced by GhostNet, and the original Leaky ReLU activation function was replaced by FMish. Then, an improved YOLOv4 algorithm was obtained. Experiments were carried out on the personalized clothing pattern set, the Fashion Mnist dataset, and the DeepFashion dataset to compare and analyze different algorithms. Findings: When replacing CSPDarknet-53 with GhostNet and the Leaky ReLU activation function with FMish, the optimized YOLOv4 algorithm performed significantly better, verifying the reliability of the YOLOv4 improvement. The optimized algorithm achieved an F1 value of 94.22% and a mAP of 95.41% on different datasets, and 39.51% and 49.56% on the DeepFashion dataset, respectively, outperforming other deep learning methods such as the faster-recurrent convolutional neural network. Furthermore, the floating-point operations per second of the optimized YOLOv4 algorithm were 8.72 G, showing a reduction of 49.71% compared to the traditional algorithm. This suggested that it had low complexity and calculation amounts. Novelty: The optimized YOLOv4 algorithm performs excellently in recognizing personalized clothing patterns, which can provide a new and reliable approach for recognition and retrieval in the field of clothing. Doi: 10.28991/HIJ-2023-04-03-03 Full Text: PDF
European Real Estate Properties Valuation: Ten Years After Adopting IFRS 13
Authors: Škoda Miroslav , Bočková Kateřina , Guzoňová Viera 
Published: November 2023

IFRS 13 had its mandatory implementation on January 1st, 2013. The new accounting standard, which represents one step closer to harmonization between U.S. GAAP and IFRS, aims to eliminate inconsistencies in fair value measurement and its related disclosures through the introduction of new reporting requirements, specifically for assets and liabilities with no active markets. Although these demands also encompass information concerning financial instruments, our focus was on the disclosure changes related to the fair value of investment properties, previously regulated solely by IAS 40. As investment properties comprise the majority of assets in the real estate industry, this sector was further examined. Through a statistical analysis of the sample companies’ annual reports for the periods immediately before and after the implementation of IFRS 13, the purpose of our descriptor-explanatory study was to investigate the level of compliance with IFRS 13 fair value disclosure requirements for investment properties in real estate companies in Europe. In order to answer this question, we first scrutinized the level of compliance with the new disclosure requirements brought up by the standard and then, intermediated by an adaptation of the model developed by Beretta & Bozzolan (2008), measured the disclosure quality for both periods considered. After data collection and analysis, our findings reveal that IFRS 13 does affect the disclosure quality of investment properties in real estate companies in Europe. Overall compliance is very high, while disclosure quality has increased since the implementation of IFRS 13. As a way to further broaden the research related to the more extensive disclosure requirements under IFRS 13, we suggest additional studies be undertaken where the point of view of the real estate companies could be explored. Moreover, it would be interesting to investigate whether the increased number of disclosures, both in relation to quantity and quality, is relevant from an analyst’s standpoint. Doi: 10.28991/HIJ-2023-04-03-04 Full Text: PDF