bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring Mental Stress Expressions in Online Communities: A Subreddit Analysis
Authors: Tuan Tran Anh , Nghia Nguyen Huu , An Tran Dai , Loan Dao Thi Thanh 
Published: June 2024

Objectives: This study aims to comprehensively explore trends, sentiments, and visualization of mental stress expressions in online communities, focusing on discussions within subreddits on the social media platform Reddit. Methods/Analysis: Advanced text analysis and statistical techniques are employed to achieve the study’s objectives. The research utilizes natural language processing (NLP) methods, sentiment analysis, and topic modeling to unravel the intricate layers of mental stress expressions found in posts across diverse subreddits. Additionally, engagement metrics, such as Redditors’ scores and the number of comments, are analyzed to discern distinctive information and patterns of interest. Findings: The research sheds light on prevalent trends, sentiments, and themes related to mental stress in online conversations before and after January 2020. The findings provide valuable insights into patterns of exciting topics, shared experiences of stress, coping mechanisms, and the significant role of virtual communities in offering support and understanding. Novelty/Improvement: The novelty lies in applying advanced text analysis techniques, including sentiment analysis with the majority voting method combining different machine learning techniques and topic modeling with semantic networks, to gain a deeper understanding of the dynamics of mental stress expressions in online communities. The research explores current patterns and distinguishes itself by examining temporal variations in stress-related posts and their correlation with engagement metrics, offering an innovative perspective on mental health discussions in the digital age. Doi: 10.28991/HEF-2024-05-02-01 Full Text: PDF
Requirements Engineering of Knowledge Management System for Smallholder Dairy Farmers
Authors: Indriasari Sofiyanti , Sensuse Dana I. , Resti Yuni , Wurzinger Maria , Hidayat Deden S. , Widodo Bayu 
Published: June 2024

This research aims to investigate aspects of knowledge management in smallholder dairy farming, focusing on four primary objectives: understanding the existing knowledge management processes, identifying the necessary knowledge for management, exploring the dominant knowledge management processes and the factors influencing them, and assessing the use of technology in supporting the knowledge management system. Through a qualitative and quantitative approach, this study successfully identified various needs that will aid in developing a knowledge management system. The research results show that the knowledge management process in small-scale dairy farming involves farmers, cooperatives, extension services, and industry. Farmers in livestock management undertake a holistic knowledge management process. Cooperatives augment this by creating guidebooks from best practices, holding training meetings, distributing informational materials, overseeing milk quality standards, and enhancing skills. Extension workers bridge theoretical knowledge with practical application. The industry plays a crucial role by offering comprehensive training, monitoring standards, and supporting farmers' professional development. The findings indicate that knowledge sharing is the dominant process, involving knowledge related to livestock care, reproduction, milk transactions, animal health, and farmer finance. The key factors influencing this process are People, Technology, and Organization. The results provide a solid foundation for further developing a more technical knowledge management system for smallholder dairy farmers, offering new insights into effective processes and technologies for knowledge management in this field. Doi: 10.28991/HEF-2024-05-02-02 Full Text: PDF
Effective Economic Model for Greenhouse Facilities Management and Digitalization
Authors: Durmanov Akmal , Farmanov Tulkin , Nazarova Fotima , Khasanov Bahtiyar , Karakulov Farkhod , Saidaxmedova Nodira , Mamatkulov Murodjon , Madumarov Talantbek , Kurbanova Khurshida , Mamasadikov Abror , Kholmatov Zahiriddin 
Published: June 2024

The main objective of this study was to inform evidence-based financial strategies and policy directions for Uzbekistan’s ambitious greenhouse agriculture expansion by quantifying how integration with agricultural data platforms affects key operational metrics like crop productivity, expenditures, profitability, and technical efficiency. The core methodological approach integrated econometric modeling techniques (production, cost, and profit functions) with data envelopment analysis to conduct comprehensive techno-economic assessments across a representative sample of 58 greenhouse facilities using primary data collected on yields, costs, technology deployment levels, and digital platform accessibility. A key finding was that involvement in digital supply chain coordination platforms corresponded to a 36% increase in profitability, coupled with a 19% reduction in expenses, a 29% improvement in crop yields, and a 22% boost in optimized technical efficiency scores relative to conventional practices after controlling for technology adoption and other factors. This novel contribution provides quantifiable evidence on the synergistic productivity, financial sustainability, and climate resilience dividends unlocked by aligning physical infrastructure upgrades with virtual enhancements around data visibility and supply network integration to overcome constraints facing smallholder agricultural operations. The interdisciplinary analysis outlines an integrated roadmap for smart greenhouse expansion through investments in transparency tools, digital ecosystems, and workforce training. Doi: 10.28991/HEF-2024-05-02-04 Full Text: PDF
Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring
Authors: Utama Widya , Indriani Rista Fitri , Hermana Maman , Anjasmara Ira Mutiara , Garini Sherly Ardhya , Putra Dhea Pratama Novian 
Published: June 2024

The management and monitoring of land use in geothermal fields are crucial for the sustainable utilization of water resources, as well as for striking a balance between the production of renewable energy and the preservation of the environment. This study primarily compared Support Vector Machine (SVM) and Random Forest (RF) machine learning methods, using satellite imagery from Landsat 8 and Sentinel 2 between 2021 and 2023, to monitor land use in the Patuha geothermal area. The objective is to improve sustainable water management practices by accurately categorizing different land cover types. This comparative analysis assessed the efficacy of these techniques in upholding water sustainability in geothermal regions. This study examined the application of SVM and RF machine learning techniques, with particular emphasis on parameter refinement and model assessment, to enhance land use classification accuracy. By employing Kernlab and e1071 for algorithm comparison, the research sought to produce a precise Land Use Model Map, which underscores the significance of advanced analytical techniques in environmental management. This approach was of utmost importance in improving land use monitoring and reinforcing sustainable practices. The comparative evaluation of SVM and RF methods for land use classification demonstrates the superiority of RF in terms of accuracy, stability, and precision, particularly in intricate urban settings, hence establishing it as the preferred model for tasks demanding high reliability. The application of SVM and RF for monitoring land use in geothermal areas is in alignment with Sustainable Development Goals (SDGs) 6 and 15, as it fosters sustainable water management and the conservation of ecosystems. Doi: 10.28991/HEF-2024-05-02-06 Full Text: PDF
The Relationships Between Tourists' Perceptions of Cultural Authenticity and Authentic Happiness: Evidence from Ethnic Villages
Authors: Wu Da-Wei , Batool Hira , Huang Shi-Zheng 
Published: June 2024

Cultural authenticity is the core resource of ethnic tourism destinations, and tourists' perceptions of cultural authenticity affect their sense of authentic happiness. Based on cognitive appraisal theory, a research model of perceptions of cultural authenticity and authentic happiness was constructed to explore the relationships among perceptions of cultural authenticity, place attachment, and authentic happiness and to verify the moderating effect of perceived safety. Through a questionnaire survey, 408 valid questionnaires from tourists were collected from ethnic villages in border areas of China, and the bootstrap method and parameter estimation method were used to test the hypotheses. The results show that cultural authenticity perception positively affects authentic happiness and place attachment; place attachment has a direct positive correlation with authentic happiness; place attachment has a partial mediating effect on the perception of cultural authenticity and authentic happiness; and perceived safety has a moderating effect on place attachment and authentic happiness. Attaching importance to the excavation and protection of the cultural authenticity of frontier ethnic villages and enhancing tourists’ perceptions of the cultural authenticity of frontier ethnic villages are conducive to promoting their place attachment to frontier ethnic villages and, at the same time, can enhance tourists’ sense of authentic happiness. Doi: 10.28991/HEF-2024-05-02-07 Full Text: PDF
Sustainable Human Capital Management, ESG, and Firm Performance: Moderating Role of ESG Disclosure
Authors: Jorgji Stela , Teta Jonida , Mousa Saeed , Ponkratov Vadim , Elyakova Izabella , Vatutina Larisa , Pozdnyaev Andrey , Chernysheva Tatiana , Romanenko Elena , Kosov Mikhail 
Published: June 2024

This study investigates the relationships between sustainable human capital management practices, ESG performance, ESG disclosure, and firm financial performance. Using a sample of 387 S&P 500 firms from 2013 to 2023 and a panel data regression approach, we examine the impact of training expenditure, workforce diversity and inclusion, pay equity, and employee benefits on ESG performance. We also explore the association between ESG performance and ESG disclosure, the effect of ESG performance on financial performance, and the moderating role of ESG disclosure in the ESG-financial performance relationship. Our findings reveal that sustainable human capital management practices have a positive and significant impact on ESG performance, which in turn positively influences firm financial performance. We also find a positive relationship between ESG performance and ESG disclosure, and that ESG disclosure moderates the ESG-financial performance link, with the positive association being stronger for firms with higher levels of ESG disclosure. This study contributes to the literature by offering an integrated approach to examine the relationships between sustainable human capital management, ESG performance, ESG disclosure, and financial performance, providing novel insights into the drivers and outcomes of corporate sustainability in the context of human capital management. Doi: 10.28991/HEF-2024-05-02-08 Full Text: PDF
Development Research in Science Education: A Systematic Literature Review of Trends in Development Models and Instruments Used
Authors: Dewi Ratih Komala , Wati Darmanella Dian Eka , Lasmana Oria , Yerimadesi  , Festiyed  , Ahda Yuni , Alberida Heffi 
Published: June 2024

This study was motivated by the desire to know the trends of development models and instruments used in development research. The purpose of this study is to conduct a comprehensive review of the existing literature on development research in science education. The focus is to identify trends in development models and instruments used in this field. This study used the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) method to look at trends in development models and instruments in science education development research. This research used Scopus, Science Direct and Eric databases. The results of this study are the most widely used development model is the ADDIE development model and the questionnaire is the instrument used in all articles analyzed
Craniofacial growth Pattern of Thalassemia Major Patients in the haematological institutes of populations of Karachi Pakistan.
Authors: Syed Muhammad Ali  , Syed Mahmood Haider  , Kashif Ikram  , Uzair Ahmed  , Sana Ahmed  , Raza Ali  
Published: June 2024

Objective: To look at patients with -thalassemia's skeletal patterns. Study Design: Cross sectional, Observational. Setting: Karachi Medical and Dental College, Baqai Dental College Baqai Medical University, Husaini Institute of Heamatological Studies and Fatmid Foundation. Study Period: 2012 to 2020. Methods: Fifty patients with major thalassemia were voluntarily chosen at random, and 50 lateral cephalometric X-rays were taken using the Steiner Analysis inclusion criteria major Thalassemia Patient under 35 without any systemic disorders. exclusion criterion any additional forms of thalassemia, as well as other systemic illnesses such as heart disease, diabetes, and down syndrome, patient age is greater than 35. Results: Patients with 50 thalassemic patients have an average ANB angle of 4.8 degree. No patients fit into Skeletal Class III, as indicated by the ANB ranges for 21 (42%) patients being between 2 and 2 o (0 to 4 o) and for 29 (58%) patients being above 4 o degree. Conclusion: 42% of beta thalassemia patients with Class 1 skeletal and orthoganathism. In 58% of cases, Class II and mandibular retroganathism are present. and there were no patients in skeletal class III found. The effects of anemia are less severe in patients from Karachi's thalassemia community.
Diagnostic accuracy of Non Invasive Imaging “Ultrasound Elastography” in Breast Carcinoma in Patients with Pathological Nipple Discharge Taking Histopathology as Gold Standard.
Authors: Ameet Jesrani  , Seema Nayab  , Riaz Hussain Awan  , Eshika Kumari Jesrani  , Aneel Kumar  
Published: June 2024

Objective: To evaluate the diagnostic accuracy of Strain Elastography in detection of breast carcinoma taking histopathology as gold standard. Study Design: Cross sectional study. Setting: Department of Radiology, Liaquat University of Medical and Health Sciences, Jamshoro. Period: June 2021 to May 2022. Methods: Patients aged 25 to 65 years with clinically palpable breast lump of any size with pathological nipple discharge. This study was conducted from June 2021 to May 2022 in department of radiology. Each patient will be subjected to sonoelastography followed by ultrasound guided trucut biopsy. The strain ratio cut off value of 4.8 will be used to differentiate benign from malignant lesion. Results of Strain Elastography will be compared with histopathology reports. Result: Mean age was 37.40 ±11.54 years. The sonoelastography showed sensitivity of 88.57%, specificity of 90.20%, positive predictive value of 75.61% and negative predictive value of 95.83%. So diagnostic accuracy of sonoelastography was 89.78% in diagnosis of malignant breast lesions. Conclusion: Sonoelastography has good sensitivity and specificity in diagnosis of malignant breast lesions.
Student perception of the effectiveness of online comprehensive patient care teaching (Compact) tool.
Authors: Afsheen Zafar  , Khalid Farooq Danish  , Sara Malik  , Fahad Hameed  
Published: June 2024

Objective: To identify students’ perception of the effectiveness of the ComPaCT tool when delivered online. Study Design: Survey Questionnaire. Setting: Department of Surgery, Islamic International Medical College. Period: June 2020. Methods: A survey questionnaire was designed and distributed amongst final year students who had experienced ComPaCT both in a clinical setting and online. Likert scale responses were collected based on components of the ComPaCT tool with two open-ended questions on the strengths and weaknesses of the use of the tool online. Results: 89.7% of students agreed that they covered all aspects of patient care during the sessions. 74.4% thought that they could achieve adequate clinical skills based on these sessions. Although more than 80% of students rated the interaction with the tutor and the feedback as very useful only 64% felt confident that they could provide care to a patient after going through the online sessions. The main strength of the model was considered to be the use of teachers as simulated patients and the main weakness was the lack of actual patient-student interaction. Conclusion: The students perceived ComPaCT as an effective tool to learn holistic patient care online however it lacks authenticity of a real patient encounter.
Pemberian Azithromycin Sebagai Bagian Tatalaksana Pasien Covid-19
Authors: Nareswari Desak Putu Dayita , Setiawan Budhi 
Published: June 2024

Coronavirus Disease 2019 (COVID-19) adalah penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2). SARS-COV-2 menyebabkan wabah yang tidak biasa di Wuhan China pada bulan Desember 2019. Coronavirus masuk kedalam family Coronaviridae yang umumnya terdeteksi pada sebagian besar hewan, tetapi dapat bertransformasi menjadi bentuk baru dan menginfeksi manusia.Penelitian tentang “pemberian Azithromycin sebagai bagian tatalaksana pasien COVID 19” ini menggunakan metode kajian pustaka Literature Review. Semua data yang digunakan pada penelitian ini bukan berdasarkan dari pengamatan langsung (data primer), tetapi diperoleh dari hasil penelitian yang sudah dilakukan oleh peneliti-peneliti terdahulu (data sekunder). Efektifitas Azithrhromycin sebagai bagian tatalaksana pasien COVID-19 disamping sebagai antibiotic, juga sebagai immunomodulator dan juga memiliki efek antiinflamasi. penggunaan Azithromycin menunjukan adanya pengaruh terhadap mortalitas pasien COVID-19, penggunaan Azithromycin menunjukan adanya pengaruh terhadap tingkat mordibitas pasien COVID-19 baik terhadap manifestasi klinis, maupun lamanya masa rawat inap di rumah sakit.
Hubungan Angka Kejadian Metabolik Sindrom dengan Dislipedimia: Studi Literatur
Authors: Abrori Amiril , Rahmawati Febtarini , Listyawati Agusniar Furkani 
Published: June 2024

Pendahuluan: Metabolik Sindrom merupakan gabungan beberapa penyebab masalah gangguan kardiovaskular yang ditandai dengan obesitas perut/pusat, peningkatan gula darah, tekanan darah, trigliserida, dan penurunan high- density lipoprotein (HDL). Salah satu penyakit akibat gangguan yang disebabkan oleh Metabolik Sindrom adalah Dislipidemia. Tujuan penelitian ini Untuk mengetahui hubungan angka kejadian Metabolik Sindrom dengan Dislipidemia Metode: Penelitian ini menggunakan metode penelitian studi literatur yang dilakukan dengan kegiatan pengumpulan data melalui penelusuran literatur atau kajian pustaka berbasis elektronik dengan menggunakan media internet. Hasil: Pada literature review ini penulis mengutip tiga puluh jurnal yang terdiri dari delapan belas jurnal nasional dan dua belas jurnal internasional. Dua puluh lima jurnal dalam penelitian ini menunjukkan korelasi antara Hubungan Angka Kejadian Metabolik Sindrom dengan dislipidemia Dan memperoleh data Hasil penelitian memaparkan bahwa ada korelasi antara Angka Kejadian Metabolik Sindrom dengan dislipidemia (akibat dari interaksi faktor genetik dan faktor lingkungan) dikarenakan kurang memperhatikan makanan dan sering mengkonsumsi junk food dan kurang olahraga secara teratur. Kesimpulan: terdapat hubungan antara angka kejadian metabolik sindrome dengan dislipidemia.
Kata kunci: Angka Kejadian, Metabolik Sindrom, Dyslipidemia
Dietary Strategies for Alleviating Inflammation and Metabolic Disorders: A Narrative Review
Authors: Setiawan Budhi , Ernawati  
Published: June 2024

Introduction: Inflammation plays a pivotal role in the pathogenesis of various health conditions, ranging from chronic diseases to autoimmune disorders. This narrative review delves into the intricate relationship between nutrition and inflammation, exploring the potential of dietary interventions as an alternative in mitigating metabolic conditions. Method: The relevant articles from databases such as PubMed, Scopus, Web of Science, and Google Scholar in the recent years have been extracted using the main keywords were: metabolic, omega 3, inflammation, gut microbiota, dietary pattern, polyphenols, dietary fiber, probiotics, and anti-inflammatory diet. Result: This review discussed the molecular mechanisms underlying inflammation and how certain dietary components can either exacerbate or mitigate these processes. The role of dietary patterns, such as the mediterranean, dietary approach to stop hypertension (DASH), plant-based diet, and anti-inflammatory diets, in promoting overall health and reducing inflammation. These patterns emphasize the consumption of whole foods rich in anti-inflammatory agents while minimizing pro-inflammatory substances. The complex interaction between the gut microbiota and dietary factors, underscoring the bidirectional relationship that influences inflammatory outcomes. Conclusion: the multifaceted exploration presented herein underscores the potential of nutrition as a modifiable factor in promoting anti-inflammatory environments within the body.
Analisis Hubungan Faktor Pola Makan Dan Stress Dengan Kejadian Gastritis
Authors: Husen Ali Husen , Tjandra Lusiani 
Published: June 2024

Pendahuluan: Gastritis merupkan infeksi pada lapisan mukosa lambung. Pola makan dapat menyebabkan gastritis karena kebiasaan makan yang tidak tepat seperti sering makan, makan tidak teratur, dan tidak makan dalam jangka waktu lama, sehingga kadar asam lambung meningkat Selain itu stres dapat menyebabkan perubahan hormonal dalam tubuh, yang merangsang sel-sel lambung untuk memproduksi asam dalam jumlah berlebihan Tujuan penelitian ini untuk menganalisis hubungan faktor pola makan dan stress dengan kejadian gastritis.
Metode: Jenis penelitian yang digunakan adalah Literatur review yang menggunakan penelitian sebelumnya yang berasal dari jurnal nasional maupun international sebagai acuan penarikan kesimpulan hasil penelitian
Hasil: terdapat hubungan faktor pola makan dan stress dengan kejadian gastritis
Kesimpulan: Pola makan memiliki peran penting dalam kesehatan sistem pencernaan, pola makan yang tidak seimbang dapat mempengaruhi pergerakan usus. Pola makan meliputi jenis makanan, frekuensi makan, dan jumlah atau porsi makan dalam sehari. Faktor yang mempengaruhi pola makan yaitu faktor ekonomi, sosial budaya, agama, pendidikan, dan lingkungan. Stress juga dapat memicu terjadinya gastritis, karena menyebabkan peningkatan produksi asam lambung dan gerakan peristaltik lambung dan berpengaruh terhadap kekambuhan gastritis

Kata kunci: Gastritis, Pola Makan, Stress