bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technique for Segmentation and Selection of Biomedical Images
Authors: Kuklin Vladimir Zh. , Chervyakov Leonid M. , Ruslantsev Andrei N. , Aslanov Tagirbek G. 
Published: January 2025

Various research fields, such as biology and medicine, have increasingly used techniques for the machine estimation of generated pulses. For example, in biological medicine, classifying information makes it possible to automate the interpretation of incoming data obtained owing to diagnosis, which is necessary when processing large volumes of information arrays. This study aims to develop algorithms that enable the selection of single-type objects in images with subsequent image splitting into a set list of segments with heterogeneous tension, even when the number of reference images is very small. Analysis of existing algorithms allowed us to determine the focus area for developing and improving the efficiency of the algorithms. The existing algorithms show poor performance results in analyzing the dark parts of images, so it makes sense to develop an algorithm for image intensity normalization. The developed algorithm simplifies the procedure of partitioning the training base for the classifier owing to the use of the feature vectors. A random forest algorithm was used for image classification, followed by boundary refinement using a Markov field. The image-splitting algorithm precisely separates parts of the brain structure by applying a Markov field to refine classification results. The proposed classification algorithm showed strong results in comparison with existing algorithms, particularly in the comparison of the Dice criterion. The proposed method shows an average increase of 10% in classification accuracy. One way to improve the presented algorithm is to add texture elements to the feature vector, which allows the identification of distinguishing features of the elements, such as shape and length, which could improve this algorithm for a more accurate classification of substructures. Doi: 10.28991/HEF-2024-05-04-011 Full Text: PDF
The Ramifications of Poor Communication in Construction Projects: Unraveling Complex Litigation and Arbitration
Authors: Fahad Malik , Mohamad Habib M. , Sulaiman Muhd F. , Suro Sajiharjo M. 
Published: January 2025

The construction industry is known for its complex and diverse nature, involving several stakeholders. Effective communication plays a vital role in ensuring that everyone involved understands the project goals, schedules, and expectations. However, communication breakdowns can lead to delays, exceeding costs, and disputes that often result in litigation. This study aims to investigate the cause and impact of ineffective communication in construction projects in Sabah, Malaysia, and its contribution to disputes and their frequency to escalate into arbitration or litigation. Utilizing a mixed-methods approach, including a survey questionnaire for construction professionals and supported by a literature analysis, the research reveals challenges and proposes solutions. Leveraging mean and standard deviation, this study quantifies the causes and effects of ineffective communication in construction projects, aiding stakeholder comprehension. Survey results highlight work practice differences as a significant cause (27%) of miscommunication, with 99.12% acknowledging miscommunication issues can lead to disputes. About 82.30% stress the importance of well-defined communication protocols. By identifying issues and proposing mitigation strategies, this study empowers project stakeholders to improve project outcomes and reduces the complexity. Respondents with a good understanding of contract form and acts are slightly well aware of how to handle misunderstandings. Moreover, the research emphasizes the importance of communication tools, well-defined contracts, and collaboration in addressing these communication challenges. Doi: 10.28991/HEF-2024-05-04-012 Full Text: PDF
Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN
Authors: Worachairungreung Morakot , Kulpanich Nayot , Sae-ngow Pornperm , Thanakunwutthirot Kunyaphat , Anurak Kawinphop , Hemwan Phonpat 
Published: January 2025

Agriculture currently serves as a crucial food source for the global population. However, coconut farming, in particular, demands extensive care and maintenance. This research aims to classify coconut trees across various plantation areas utilizing deep learning techniques, specifically through Faster R-CNN and Mask R-CNN models, based on unmanned aerial vehicle (UAV) imagery. The data collected by both types of RGB UAVs was used for the classification of coconut trees in experimental plots. For the analysis process, aerial photographs obtained from unmanned aerial vehicles, merged with the principles of aerial photography measurement, were analyzed. The research findings revealed that both Faster R-CNN and Mask R-CNN were capable of effectively classifying image data. Nevertheless, to achieve higher accuracy in results, it is essential that the characteristics of the test plots closely align with each other. This study points towards the adoption of a high-resolution tool, ensuring clearer images that facilitate more accurate classification of coconut trees across extensive areas. Consequently, this could lead to more efficient management and maintenance of coconut plantations. Thus, this approach can substantially enhance the efficiency of managing coconut plantations. Doi: 10.28991/HEF-2024-05-04-02 Full Text: PDF
Tourism Perceptions and Subjective Well-Being: Insights from GIAHS Sites
Authors: Yang Jie , Huang Shi‑Zheng , Cheablam Onanong 
Published: January 2025

The subjective well-being (SWB) of residents serves as a crucial measure of social harmony. This study applied the cognition-affection-behavior theory to investigate how tourism perceptions influence residents’ SWB while also assessing the intermediary roles of emotional solidarity (ES) and resident-tourist value co-creation (RVC). Researchers collected 411 valid survey responses from residents in GIAHS and utilized Structural Equation Modeling path analysis and bootstrapping method to test the proposed hypotheses. The results indicate that benefit perceptions positively impact residents’ SWB, with ES and RVC serving as sequential mediators in this relationship. In GIAHS, improving residents' perception of benefits can foster ES and RVC, creating a connection between residents and tourists and ultimately enhancing residents' SWB. Doi: 10.28991/HEF-2024-05-04-06 Full Text: PDF
Livelihood Vulnerability Index of Resettled Peasants Displaced by Land Acquisition of An Airport
Authors: Sari Embun , Winoto Joyo , Soetarto Endriatmo , Asikin Zaenal , Ayu Sri Fajar , Nauly Meutia 
Published: January 2025

This study aims to assess the social impact of land acquisition on relocated farmers who are displaced due to land acquisition. Delays in infrastructure development will have a broad impact. Law Number 2 of 2012 concerning Land Acquisition for Development in the Public Interest addresses the classic problem of infrastructure project development: land acquisition. Eviction due to land acquisition will cause various potential interrelated risks for the affected community, including loss of housing, marginalization, morbidity and mortality problems, and loss of access to collective ownership. This research method uses the Livelihood Vulnerability Index (LVI) approach to assess the response capacity in addressing the risk of change due to the release of agricultural land from external parties, such as the government in the case of land acquisition for Yogyakarta International Airport (YIA). The study results show that the economic and sociological approaches allow the LVI model to reveal the economic, social, and cultural impacts of relocated farmers after 10 years of land acquisition. The value of land compensation must be comparable to the assets taken over in land acquisition. This can be done by increasing response capacity through commercial property ownership, variation in income sources, and job training. Doi: 10.28991/HEF-2024-05-04-07 Full Text: PDF
Students' Creative Thinking Skills with STEAM-SDGs Approach to Energy Concept: Rasch Model Analysis
Authors: Purwanti Purwanti , Hayat Muhammad Syaipul , Dewi Endah Rita Sulistya 
Published: January 2025

21st century education demands innovation in learning to develop students' creative thinking skills. This study aims to measure the effect of implementing STEAM-SDGs-based science learning on the concept of energy on students' creative thinking skills. The research method used a quasi-experimental method with a one-group pretest-posttest design. The subjects of the study were 32 students of grade VIII of SMP Negeri 1 Jumo, Temanggung Regency. Data collection was carried out using a creative thinking skills test instrument and the research data were analyzed using the rasch model. The results showed a significant increase in students' creative thinking skills, with an average pretest score of 35.83 and a posttest score of 82.32. Welch's t-test showed a significant difference between the pretest and posttest (t = -6.31, df = 55, and prob = 0.001, p <0.05). The greatest increase occurred in the fluency, flexibility, and elaboration indicators, while the originality indicator experienced a lower increase. STEAM-SDGs integration has proven effective in improving students' creative thinking skills, with the highest indicator in flexibility (90.24) and the lowest in originality (69.93). This study suggests that combining STEAM with global sustainability issues such as the SDGs can prepare students to face 21st century challenges and increase their awareness of environmental and sustainability issues.
Applications of Quasi-Subordination on Subclasses of Bi-Univalent Functions Associated with Generalized Differential Operator
Authors: Salih Muhammed Muhammed , Galib Atshan Waggas 
Published: January 2025

This paper introduces and defines subclasses of the function class of analytic and bi-univalent functions associated with the operator within the open unit disk through quasi-subordination. We derive results concerning the corresponding bound estimations of the coefficients and .
Meningkatkan Motivasi dan Hasil Belajar Siswa dengan Menggunakan Media Digital (YouTube dan Game Online) pada Materi Literasi Digital untuk Kemajuan Bangsa di SMP Sunan Giri Kota Probolinggo
Authors: Dzaky Isyuniandri  , Alfiatus Syarofah  , Halimah Halimah  , Indani Khoirun Nisak  , Syamriba Ardila  
Published: January 2025

This Classroom Action Research (PTK) was motivated by the low interest of students in Civics subjects. This is thought to be due to a lack of adequate reference sources, which makes students have to write a lot of study material which then makes them feel bored and boring. This Classroom Action Research (PTK) aims to increase student motivation and learning outcomes by using digital media (YouTube and Online Games) on the material "Digital Literacy for Student Progress" at Sunan Giri Middle School, Probolinggo City. The benefits of Classroom Action Research (PTK) are: it can provide information about the causes of students' low interest in Civics subjects as well as ways to increase student motivation. Classroom Action Research (PTK) can provide greater opportunities for students to gain knowledge by using media. digital in the learning process, so that it has an impact on improving student learning outcomes, besides that it can also be used as input material in an effort to increase student motivation and learning outcomes in Civics subjects. Thus, students' interest in learning about Civics subjects increases. Classroom Action Research consists of 2 cycles. Data from this research was obtained from teachers (observers) and students through observation, tests and documentation. Based on research data from cycle I to cycle II, data was obtained that students' interest and learning outcomes in the learning process through digital media (YouTube and Online Games) had increased significantly from previous learning which used the summarizing method. So the conclusion is that the application of digital media (YouTube and Online Games) can increase student interest and learning outcomes in Civics subjects at Sunan Giri Middle School, Probolinggo City.
The Effectiveness of Hypnobreastfeeding on the Success of Early Initiation of Breastfeeding in Efforts to Prevent Stunting
Authors: Siburian Urhuhe Dena , Ritonga Paruhum Tiruon 
Published: January 2025

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Hypnobreastfeeding makes mothers feel calm, comfortable and happy so that the hormones prolactin and oxytocin increase which play a role in facilitating breast milk production. The hypnobreastfeeding technique increases mothers' confidence and motivation to breastfeed and carry out Early Breastfeeding Initiation (IMD). Improper implementation of IMD results in inadequate nutrition for babies at the start of life which can cause stunting. The results of the study show that babies who do not receive IMD have an impact on stunting. This research aims to determine the effectiveness of hypnobreastfeeding on the success of IMD. This type of research is Quasi Experimental with a case-control design. The sample consisted of 60 people, 30 people in each group, using a purposive sampling technique. The research was carried out in the working area of the Siatas Barita Community Health Center from March to September 2024. Bivariate data analysis used Independent Statistical Tests with a significance level of 95%. The success of implementing IMD in the case group was 86% (26 people) and in the control group was 53% (16 people). The results of the Independent Statistical Test, the p-value was 0.012 (α&lt;0.05), meaning there was a difference in the effectiveness of hypnobreastfeeding on the success of IMD. It was concluded that hypnobreastfeeding was effective in the success of IMD. It is hoped that hypnobreastfeeding will be held in pregnant women's classes so that IMD can be successfully implemented as an effort to prevent stunting.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords :Early Initiation of Breastfeeding, Hypnobreastfeeding, Stunting</em></strong>
Analysis Environmental Sanitation Distribution Patterns Stunting Incidence in Silahisabungan Subdistrict
Authors: Syaputri Deli , Bambang S Th Teddy , Manalu Samuel Maganda H , Apsari Desy Ari , Suprawihadi Riyanto 
Published: January 2025

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Stunting is a public health problem caused by chronic malnutrition and is often exacerbated by poor environmental sanitation. Environmental sanitation factors that cause it are clean water management, waste management, feces management and sewerage management. Improving sanitation infrastructure and promoting healthy living behaviors are essential to reduce stunting and support sustainable health outcomes. In Silahisabungan Subdistrict, Dairi Regency, this study is to examine the distribution pattern of environmental cleanliness and its relationship to the prevalence of stunting. This type of research is observational with a case control design and ecological approach, to obtain an overview of the distribution patterns of stunting and environmental sanitation using geographic information system applications. The case sampling technique used total sampling. Where all stunted toddlers were taken as cases as many as 58 toddlers and controls as many as 58 toddlers. Purposive sampling was used to conduct the research sampling. This study's data was analysed using univariate, bivariate, and multivariate methods, including logistic regression, chi-square statistical tests, and mapping of stunting data using Google Earth and Quantum GIS. The results showed that there was a significant relationship between water management (p-value=0.000), waste management (p-value=0.032), waste management (p-value=0.000) and there was no significant relationship between feces management (p-value=0.193) with the incidence of stunting. Improving environmental sanitation is a key factor in reducing the prevalence of stunting. Interventions that focus on increasing access to clean water, building sanitation facilities, and educating the community about clean and healthy living behaviors need to be prioritized.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords: Environmental Sanitation, Distribution Pattern, Stunting</em></strong>
The Influence of Education on Increasing the Knowledge of Mothers of Toddlers About the 8 Functions of the Family
Authors: Purnama Hawa Cahya , Budiastutik Indah , Marlenywati Marlenywati , Trisnawati Elly 
Published: January 2025

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Mother’s knowledge is very important because it is one of the contributing factors to the emergence of stunting in toddlers. Mothers with low knowledge have a higher risk of their children experiencing stunting compared to mothers with sufficient knowledge.The family plays a very important role in efforts to prevent stunting. Preventing stunting in families can be associated with eight family functions that support each other. This study aims to analyze the effect of education on improving the knowledge of mothers with toddlers regarding the 8 family functions. The eight family funtions are the religious function, sosio-cultural function, affection function, protection function, reproduction function, socialization and education function, economic function, and environmental development function. This research method is quantitative, using a quasi-experimental design with a pretest-posttest questionnaire instrument. The sample consists of 30 mothers with toddlers at risk of stunting in the Family Planning Village (Kampung KB), Lembah Murai Village. Data analysis used the Paired T-Test to test the effect of education on the 8 family functions before and after the intervention. The results show an average knowledge score increase of 21.76 after the intervention. The results of the Paired T-Test indicate a p value of 0,000, which signifies a statistically significant difference between the scores before and after the education on the 8 family funtions.Therefore, a good family role is very important in forming healthy living patterns in toddlers, making the active role of the family the key to supporting the optimal growth and development of toddlers. It is recommended that the education program be carried out regularly by involving cadres as active companions to support the understanding of mothers with toddlers in stunting prevention.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords: Education, Family Function, Stunting, Knowledge of Mothers of Toddlers</em></strong>
Factors Influencing Blood Donation Interest in Makassar City Society
Authors: Akram Sitti Rahbiah , Rahmita Rahmita , Yunus Muhammad , Rusdi Achmad Mulyaone Putra 
Published: January 2025

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>The demand for blood continues to increase each year. The lack of interest in blood donation among the public leads to insufficient blood supply at blood banks, especially in Makassar city. This study was conducted to identify the factors that influence the public's interest in blood donation in Makassar. This is a quantitative research with a cross-sectional design and an analytical observational approach, using a sample of 100 people who reside in Makassar. The sampling technique used was accidental sampling, and primary data was collected using a questionnaire that had been tested for validity and reliability. Data analysis was conducted using univariate and bivariate analysis with the chi-square test. Overall, the results of the study showed that the public's interest in blood donation in Makassar was very good, with 75% (75 people) of the total 100 respondents expressing interest. The frequency based on gender and age was dominated by females at 76%, and the age range of 20-29 years accounted for 40%. The frequency of employment status showed that 45% were employed, while 55% were unemployed. Respondents' knowledge level was found to be good, with 95% demonstrating good knowledge. Based on the chi-square test, it was found that there was no significant relationship between knowledge (p= 1.000&gt;p=0.05), gender (p= 1.000&gt;p=0.05), and occupation (p= 0.357&gt;p=0.05) and the interest in blood donation. However, age (p= 0.010&lt;p=0.05) was found to have an effect on the public's interest in blood donation in Makassar. Interviews also revealed that there are other factors affecting blood donation interest, such as attitude, medical history, body weight, and other external factors.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keyword: Interest in Donation, Blood Donation, Makassar Community</em></strong>
Food Poisoning Outbreak Prevention Model: The Role of Health Workers for Food Safety of Catering Owners
Authors: Saragih Rapida , Dasman Hardisman , Indrapriyatna Ahmad Syafruddin , Yani Finny Fitry , Lipoeto Nur Indrawaty , Yetti Husna , Ilmiawati Ilmiawati , Harun Harnavi 
Published: January 2025

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p><em>Food poisoning is a serious problem that can have an impact on public health. This incident occurs when the food consumed is contaminated by bacteria, viruses, parasites or hazardous chemicals. Medan City is an area where food poisoning incidents occur every year. The purpose of this study is to examine the importance of the role of health workers in preventing extraordinary incidents of food poisoning. This study is an exploratory qualitative study through a phenomenological approach. The location of the qualitative research was conducted at the Medan City Health Office, in the working area of the Medan Area, Medan Deli, and Tuntungan Health Centers which were designated as research areas. Data collection was carried out through several main techniques, namely in-depth interviews with interview guidelines, observation, and focus group discussions. While The data processing process involves several stages, namely starting with data transcription, data reduction, and data presentation. The final stage is drawing conclusions and verification. Data analysis uses a triangulation approach to increase the credibility of research results, including data triangulation, observer triangulation, theory triangulation, and triangulation Methods.</em><em> </em><em>This study was conducted in 2024 with informants including the Disease Prevention and Control Team and the Public Health Team, the head of the health center. The results of this study indicate that efforts to prevent food poisoning outbreaks have not been going well. Where the cause is the suboptimal role of health workers in monitoring and evaluation due to limited human resources, in addition to the lack of training related to prevention and handling and the absence of a special policy for food poisoning outbreaks. This prevention can only be implemented if there is collaboration between health workers and catering owners to add a shared commitment to food safety. and it is necessary to carry out comprehensive coaching and supervision efforts.</em></p><p><em> </em></p></td></tr></tbody></table></div><strong><em>Keywords: Prevention, Extraordinary Events, Food Poisoning, Health Workers</em></strong>