bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismic Activity Analysis in California: Patterns, Trends, and Predictive Modeling
Authors: Pravakar Debnath  , Mitu Karmakar  , MD Tushar Khan  , MD Azam Khan  , Abdullah Al Sayeed  , Arifur Rahman  , Md Fakhrul Islam Sumon  
Published: November 2024

For decades, California has been considered one of the most seismically active areas in the United States, if not the most, due to the frequent occurrence of earthquakes from tectonic activity, notably along the San Andreas Fault. Understanding seismic activity is a matter not only of safety but also of major importance for urban planning. In the recent past, Machine learning algorithms (ML) have emerged as a promising invention for advancing earthquake prediction by facilitating the pinpointing of patterns in large datasets that may be hard to detect through traditional techniques. The primary objective of this research project is to assess historical seismic data to identify trends and patterns in California’s seismic activity. Equally important, the goals of this research focused on developing predictive models that can provide insight into the possibility of seismic events in the future. To assess seismic activity in California, data were gathered from a credible and reputable source, most notably, the United States Geological Survey (USGS) Earthquake Database, which provides detailed records of earthquakes spanning over six decades. This dataset included all recorded seismic events in California, capturing the key details about the place of occurrence in latitude and longitude, the magnitude of the seismic event, the depth at which it happened, and the time when the seismic activity took place. To devise and curate a reliable earthquake prediction algorithm for California, distinct machine learning models were considered, comprising, Random Forest, XG-Boost, and Logistic Regression. Overall, the Random Forest algorithm exemplified high accuracy. Optimizing this algorithm will lead to more reliable predictions, potentially aiding disaster preparedness and risk mitigation in California's earthquake-prone areas. The findings from seismic activity analysis have deep implications for urban planning and disaster preparedness in California. Knowledge of the pattern, place, and magnitude of earthquakes over time will help urban planners and policymakers structure communities that can remain resilient during such calamities. For instance, higher earthquake frequencies would automatically call for increased stringency in building codes, especially along fault lines, to ensure that houses situated on such lines are designed to withstand major seismic activity. This operation may even limit or reallocate urban development out of high-risk zones into less risky zones.
Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models
Authors: Sanjib Kumar Shil  , Muhammad Shoyaibur Rahman Chowdhury  , Nikhil Rao Tannier  , MD Tanvir Rahman Tarafder  , Rabeya Akter  , Nisha Gurung  , Mir Mohtasam Hossain Sizan  
Published: November 2024

Electric vehicles (Electric Vehicles) are at the vanguard of the global dispensation to sustainable transportation, depicting a pivotal step toward diminishing greenhouse gas emissions and reliance on fossil fuels. Notwithstanding, the adoption of Electric Vehicles has been growing in the USA, but their future remains at a crossroads. The objective of the research is to design and execute machine learning models capable of providing accurate predictions of future trends in electric vehicle adoption in the USA. The dataset gathered for analyzing EV adoption in the USA comprises data across three primary categories: environmental data, economic indicators, and policy-related data. The economic indicators include household income, fuel prices, electricity rates, and lithium battery costs that affect EV purchasing power obtained from the U.S. Census Bureau and the U.S. Energy Information Administration (EIA). Environmental data include greenhouse gas emissions and air quality indices from the EPA, providing information on regional environmental conditions that might affect EV attractiveness. Other policy data included federal and state incentives such as tax credits, rebates, and EV infrastructure data, collected from the U.S. Led by the U.S. Department of Energy's Alternative Fuels Data Center and the Energy Laboratory, additional EV sales trends were pulled from databases of the automotive industry. In this research project, credible and proven machine learning models were employed, most notably, Linear Regression, Random Forest, and XG-Boost. The performance of the models was tested for EV adoption prediction by considering a few important metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). From the model performance metrics presented, the Gradient Boosting Regressor and Random Forest models performed far better by a big margin than Linear Regression. The prediction models, particularly, the Random Forest regressors and Gradient Boosting regressors demonstrated incredible forecasting of electric vehicle adoption. The model works excellently on the premise that historical data with relevant features can be utilized to gain some valuable insight into future trends. Policy-makers interested in stimulating the wider use of electric vehicles can ensure that targeted policies address both current barriers and future demands. Results of this analysis suggest incentives, such as tax credits, rebates, and subsidies, are some of the most common actions to reduce the upfront cost of an EV, a key circumventing factor in the choice that many consumers face.
Relaxation therapy with guided imagery for pain intensity and pain interference in patients with lung cancer: A case study
Authors: Affandi Miftah Nur , Rosyid Fahrun Nur 
Published: November 2024

Background: Lung cancer is a malignant tumor originating from the bronchial epithelium or bronchial carcinoma which includes malignancy from the lungs themselves (primary) and malignancy from outside the lungs (metastasis) caused by several factors such as exposure or inhalation of a carcinogenic substance such as cigarettes over a long period of time. One of the clinical symptoms felt by lung cancer patients is chest pain with 50-70% of cancer patients experiencing pain dominated by neuropathic, psychological, social and spiritual pain, associated with nociceptive pain that is felt continuously so that it can reduce quality of life, physical function, increase fatigue levels, and interfere with daily activities. Efforts to reduce pain in lung cancer patients require appropriate, efficient and economical interventions, so that they can improve the patient's quality of life. One of the non-pharmacological nursing interventions that can be applied to lung cancer patients is guided imagery.
Purpose: To prove the relaxation therapy with guided imagery for pain intensity and pain interference in patients with lung cancer.
Method: The case report study used a nursing care approach by implementing evidence-based nursing practices in 5 lung cancer patients treated in the Flamboyan ward Dr. Moewardi Hospital. The instrument used in this nursing care report is a numeric scale to measure the intensity of patient pain with an interval of 0-10. A value of 0 indicates no pain, while 1-3 indicates mild pain, 4-6 indicates moderate pain and 7-10 indicates severe pain.
Results: There was a significant change in the patient's pain scale after relaxation therapy with guided imagery for pain intensity and pain interference.
Conclusion: Relaxation therapy with guided imagery can help reduce pain in lung cancer patients. In addition, it is considered a more efficient and economical therapeutic nursing intervention and does not cause complications.
Suggestion: It is hoped that further researchers can apply it to other medical diagnoses to determine whether guided imagery has the same benefits or not in reducing pain felt by patients other than a medical diagnosis of lung cancer.
Effectiveness of massage therapy intervention for labour pain management during normal delivery: A literature review
Authors: Cahyaningtyas Keny Nurchaeni , Sulastri Sulastri 
Published: November 2024

Background: Labor and delivery pain is a common experience experienced by women around the world. Women who give birth normally experience significant levels of pain during labor. Efforts to increase knowledge and use of non-pharmacological interventions to manage labor pain, such as massage therapy, still need to be encouraged in pregnant women, various techniques such as deep back massage, effleurage massage, and foot massage have shown promising results in reducing pain experienced during labor.
Purpose: To know and analyze effectiveness of massage therapy intervention for labour pain management
during normal delivery
Method: Literature study using search engine databases, namely ProQuest, Sciencedirect, Pubmed, and Scopus, with article publications ranging from 2018-2024. The literature search strategy involves keywords related to the topic and title of the study: "Massage" OR "foot Massage" OR "reflexiology" AND "Fatigue" AND "Hemodialysis" OR "Chronic Kidney Disease" AND "Randomised Control" OR "Clinical Trial".
Results: Obtained 10 articles that show the effect of massage therapy in reducing pain in patients who are undergoing labor and delivery.
Conclusion: Massage therapy carried out within a certain time span can effectively reduce pain levels in patients who are undergoing labor and delivery.
Spiritual needs and quality of life of patients with heart failure
Authors: Putri Ekky Puspita Sonia , Hudiyawati Dian 
Published: November 2024

Background: Patients with heart failure often experience physical problems that disrupt daily activities. These problems have an impact on the patient's spiritual needs and quality of life.
Purpose: To find out the relationship between spiritual needs and the quality of life of patients with heart failure.
Method: Descriptive quantitative. The research was carried out at the heart clinic at Dr. Moewardi Hospital, Surakarta from January to August 2023. The number of samples was 100 respondents using the method purposive sampling. Data collection was carried out using the SpNQ and MLHFQ questionnaires.
Results: Based on data analysis, it was found that the average respondent was 60% male with a maximum age distribution of 61-70 years (39%). Regarding the description of spiritual needs, the majority of respondents had a high level of spiritual needs (79%). In the quality of life variable, the majority of respondents have a good level of quality of life (55%). Based on the results of cross tabulation, a picture of the level of spiritual needs and quality of life of respondents shows that a high level of spiritual needs, in fact, a moderate level of quality of life is greater than a high level of quality of life with a result of 55%.
Conclusion: The majority of respondents have a high level of spirituality with levels of good quality of life and moderate quality of life which are not much different.
Factors related to the uncontrolled fasting blood sugar among type 2 diabetic patients attending Kopang Health Center, Central Lombok Regency, Indonesia
Authors: Saimi Saimi , Pratiwi Dita Retno , Satriyadi Satriyadi , Fatoni Akhmad 
Published: November 2024

Background: Prevalence of DMT2 is increasing every year, becoming a significant global health problem. Many DMT2 sufferers are not well controlled, prone to serious complications such as heart, kidney, and nervous system.
Purpose: To determine Blood Sugar fluctuations in Diabetes Mellitus Type-2 (DMT2) to improve knowledge, positive attitudes, and healthy behaviors to achieve optimal blood sugar control.
Method: Quantitative observational analytical research with Cross Sectional design. The population is 349 people with a sample of 186 respondents which is determined by simple random side. Data collection uses interview guidelines/questionnaires that have been tested for validity and reliability. Bivariate data analysis used Chi Square and Multivariate analysis multiple logistic regression.
Results: P value of knowledge 0.000 < 0.05, had a significant effect. The p-value of attitude was 0.002 < 0.05, Positive attitude had a significant effect on stabilizing blood sugar. An optimistic, confident, and highly motivated attitude is important to control diabetes. The behavioral p value of 0.003 < 0.05 had a stabilizing effect on blood sugar.
Conclusion: Good knowledge has a significant effect on stabilizing blood sugar. An important understanding affects diabetes control. Accurate information empowers informed long-term health decisions. A positive attitude greatly affects blood sugar control. Optimistic, high spirits achieve better health control. Decisions of the right actions stabilize blood sugar is important for DMT2 health, prevent complications improve quality of life.
The influence of telehealth-based interventions in patients with cancer in the digital era of society 5.0: A literature review
Authors: Karundeng Riven , Afiyanti Yati , Mulyono Sigit 
Published: November 2024

Background: Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells, which can result in death if not managed. It is important for cancer patients to be able to participate in long-term treatment programs. Therefore, a good support system, healthcare professionals' support, and the utilization of information technology in healthcare services are needed. The management of cancer is also expected to adapt to the era of Society 5.0. The use of Telehealth has been recommended by the World Health Organization (WHO) to support current healthcare services. The implementation of the combination of telehealth is expected to be a solution for holistic cancer care in the digital era.
Purpose: To explore the effectiveness of telehealth-based interventions on cancer patients in the digital era of society 5.0.
Method: Literature review using online databases such as Sage Journals, Science Direct, Clinical Key Nursing, and PubMed. Inclusion criteria: articles on the application of telehealth for cancer patients, available in full text in English, published between 2020-2023. Exclusion criteria: articles published before 2020, articles that do not discuss telehealth in cancer patients, and literature review studies.
Results: Analysis of the 13 articles used shows the important role of combining telehealth (telenursing, telepalliative, telerehabilitation, teleoncology), which is beneficial not only for cancer patients but also for nurses and other healthcare professionals in providing good quality, safe, effective, and efficient healthcare services in the digital era of society 5.0.
Conclusion: Telehealth-based cancer rehabilitation demonstrates a positive impact that warrants further evaluation and study.
Faktor-Faktor Yang Berhubungan Dengan Self Care Management Terhadap Kualitas Hidup Penderita Penyakit Jantung Koroner Di RSU Mitra Medika Tanjung Mulia
Authors: Syaiful Dedi , Yuniati Yuniati 
Published: November 2024

Penyakit tidak menular menjadi penyebab kematian nomor satu di dunia setiap tahunnya adalah penyakit kardiovaskuler. Penyakit Jantung Koroner disebabkan karena adanya penyempitan dinding arteri koroner yang di sebabkan adanya tumpukan kolesterol dan lemak sehingga menjadikan suplai oksigen dan darah menuju jantung menjadi terganggu atau tersumbat. Tujuan penelitian ini adalah untuk mengetahui Faktor-Faktor Yang Berhubungan Dengan Self Care Management Terhadap Kualitas Hidup Penyakit Jantung Koroner Di RSU Mitra Medika Tanjung Mulia Tahun 2023. Desain penelitian yang digunakan dalam penelitian ini menggunakan metode Survei Analitik dengan pendekatan Cross Sectional, menggunakan uji chi- square.Populasi dalam penelitian ini adalah Pasien Poli Jantung RSU Mitra Medika Tanjung Mulia, dengan jumlah populasi 770 orang,sedangkan sampel yang digunakan adalah accidental sampling dengan rumus slovin yaitu sebanyak 88 responden. Berdasarkan hasil analisa dengan menggunkan uji chi-square memperlihatkan bahwa, tidak terdapat hubungan signifikan antara faktor pengetahuan dengan kualitas hidup PJK (p value=0,105), terdapat hubungan faktor efikasi diri terhadap kualitas hidup PJK (p value=0,04), terdapat hubungan faktor dukungan keluarga terhadap kualitas hidup PJK (p value=0,01). Kesimpulan Berdasarkan hasil dan analisa yang telah dilakukan oleh peneliti mengenai variabel faktor –faktor yang berhungan self care management terhadap kualitas hidup penyakit jantung koroner yang sangat berpengaruh adalah efikasi diri (self efficacy).
Gambaran Penerapan Diabetes Self Care Activity Pada Pasien Diabetes Melitus Tipe II Di RSU. Mitra Medika Medan
Authors: Ardilla Maya , Hafsani Yaumil , Aritonang Muhammad Adi Setiawan 
Published: November 2024

Diabetes Melitus (DM) merupakan penyakit kronis yang saat ini secaraserius sedang terjadi di tengah-tengah masyarakat. Diabetes Melitus merupakan salah satu penyakit endokrin yang saat ini masih banyak diderita penduduk di dunia. Penyakit tersebut terjadi ketika pankreas tidak menghasilkan cukup insulin (hormon yang mengatur gula darah). Tujuan: untuk mengetahui gambaran penerapan diabetes selfcareactivity pada pasien diabetes melitus tipe II di RSU. Mitra Medika Medan. Metode: Penelitian ini menggunakan desain penelitian analitik korelatif, dengan pendekatan cross-sectional study. Populasi pada penelitian sebanyak 720 pasien diabetes melitus tipe 2 dengan jumlah sampel 88 responden. Teknik pengambilan sampel menggunakan metode yang diambil secara purpuposivesampling.Alat pengumpulan data menggunakan kuesioner. Data dianalisis menggunakan chi – square. Hasil: Sebagaian besar responden memiliki self care activity dalam kategori sedang sebanyak 76 responden (86,4%), dukungan keluarga sebanyak sedang 75 responden (85, 2%), tingkan pengetahuan sebanyak cukup 49 responden (55,7%) dengan diabetes self care activity pada pasien diabetes melitus tipe 2 dengan nilai p value = 0,00, kolerasi rendah (0,015) dan arah kolerasi positif. Kesimpulan: Tingkat pengetahuan dan dukungan keluarga yang baik dapat mempengaruhi perawatan diri (diabetes selgcareactivity) pada pasien diabetes melitus tipe 2.
Effectiveness of laser tonsillectomy compared to conventional cold steel tonsillectomy in children
Authors: Raoof Manar Qasim Mohammed , Dawood Mohammed Radef 
Published: November 2024

Background: The Effectiveness of CO2 laser tonsillectomy is not conclusively known. The current study aimed to determine its effectiveness compared to the cold steel dissection for tonsillectomy in children.
Methods: This interventional study was done in the Department of Otolaryngology of AL-Yarmouk Teaching Hospital, Baghdad, Iraq. It was done in 80 children eligible for tonsillectomy, evenly divided into cold steel dissection tonsillectomy (group A) and CO2 laser tonsillectomy (group B). The surgical outcomes of the two groups were analysed for operative time, intra-operative blood loss, post-operative pain, bleeding, tonsillar fossae sloughing, and the time taken to return to daily activity.
Results: The CO2 tonsillectomy group showed better effectiveness in terms of operative time (37.6 versus 19.5 min), intra-operative blood loss (42.7 versus 15.8 mL), postoperative pain at days 1, 7 and 14), and tonsillar bed sloughing (25.0% versus 32.5%). However, primary and secondary postoperative haemorrhages were similar between the groups.
Conclusions: Although the results are not generalisable, the CO2 laser tonsillectomy was more effective than the cold steel dissection tonsillectomy.
The influence of public environmental concern on the rural living environment in China
Authors: Zhang Wenguang , Jing Qinlei , Lu Ji 
Published: November 2024

BackgroundDespite China's economic growth, rural living environments have often lagged behind. While public participation is gaining importance in environmental governance, the magnitude and mechanism of its impact remain understudied.PurposeThis research investigates the relationship between public environmental concerns and the rural living environment in China and explores how public concerns impact living conditions.MethodologyUsing panel data from 245 prefecture-level cities (2012–2021), we employed the entropy method to measure rural living environment scores and used fixed-effect models to analyze the relationship between public concern and the living environment.ResultsThe findings demonstrate a positive relationship between strong public environmental concerns and improved rural living environments. Further analysis suggests that local government environmental attention acts as a partial mediator in this relationship.ConclusionThis study reveals that public participation can influence government policies, ultimately leading to positive environmental outcomes. Promoting public participation in environmental governance is crucial for improving the rural living environment.
Faktor-faktor yang Memengaruhi Angka Kejadian Malaria pada Anak di Kecamatan Lembeh Selatan Kota Bitung
Authors: Lahiang Reinette M. , Rampengan Novie H. , Tatura Suryadi N. N. 
Published: November 2024

Abstract: Malaria is an infectious disease that contributes to high mortality and morbidity rates. Indonesia is no exception and is still one of the countries with high malaria endemicity. This study aimed to determine factors influencing the incidence of malaria in children in Lembeh Selatan, Bitung. This was an analytical and observational study with a retrospective approach and a case-control research design. Data were obtained from medical record data and through interviews by filling out questionnaires, and were analyzed using the chi-square test. The statistical test results of this study showed that the presence of livestock pens around the residence as well as the habit of using mosquito nets and mosquito repellent when sleeping at night were not factors that influenced the incidence of malaria in children in Lembeh Selatan. There was an influence of the presence of mosquito breeding sites around the residence (p-value of <0.001) and the habit of going out at night (p-value of <0.001) with the incidence of malaria in children in Lembeh Selatan. In conclusion, factors that influence the incidence of malaria in children in Lembeh Selatan, Bitung, are living close to mosquito breeding areas and the habit of going out at night.
Keywords: incidence rate of malaria; children; influencing factors

Abstrak: Malaria merupakan salah satu penyakit menular dengan penyumbang angka mortalitas dan morbiditas yang tinggi. Indonesia tak terkecuali masih menjadi salah satu negara dengan endemisitas malaria yang cukup tinggi. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi angka kejadian malaria pada anak di Kecamatan Lembeh Selatan Kota Bitung. Penelitian ini menggunakan metode observasional analitik dengan pendekatan retrospektif dan desain penelitian case-control. Data diperoleh melalui data sekunder yaitu data rekam medis dan melalui wawancara dengan mengisi kuisioner. Analisis data menggunakan uji statistik chi-square. Hasil uji statistik penelitian ini menunjukkan tidak terdapat hubungan antara keberadaan kandang ternak di sekitar tempat tinggal serta kebiasaan menggunakan kelambu dan obat anti nyamuk saat tidur di malam dengan kejadian malaria pada anak di Kecamatan Lembeh Selatan. Terdapat hubungan bermakna antara keberadaan tempat perindukan nyamuk di sekitar tempat tinggal (nilai p<0,001) dan kebiasaan keluar rumah pada malam hari (nilai p=<0,001) dengan kejadian malaria pada anak di Kecamatan Lembeh Selatan. Simpulan penelitian ini ialah faktor yang memengaruhi angka kejadian malaria pada anak di Kecamatan Lembeh Selatan Kota Bitung ialah tempat tinggal dekat dengan tempat perindukan nyamuk dan kebiasaan keluar rumah pada malam hari.
Kata kunci: angka kejadian malaria; anak; faktor yang memengaruhi