bluuebunny/crossref_metadata_2025_split huggingface dataset:
ОЦІНКА ВПЛИВУ ПИЛОВИХ ВИКИДІВ У ВИРОБНИЦТВІ ГАЗОБЕТОНУ НА ЯКІСТЬ ПОВІТРЯ НОРМОВАНИХ ТЕРИТОРІЙ
Authors: МАДАНІ Марія 
Published: August 2024

У роботі дається вирішення актуального завдання щодо забезпечення захищеності природного середовища та життєво важливих інтересів людини від негативних впливів пилових викидів, що утворюються при виробництві газобетонних будівельних виробів. Встановлено, що при використанні традиційних систем очищення пилових викидів циклонами в атмосферне повітря викидається пил, до 100 % маси якого припадає на частинки з розмірами до 20 мкм. При цьому їхній медіанний діаметр дорівнює 12 мкм, відсоток частинок з розмірами менше 10 мкм (РМ10) становить 40 %, відсоток частинок з розмірами менше 2,5 мкм (РМ2,5) – 0,5%. Відсоток частинок в атмосферному повітрі біля проммайданчика влітку коливаються: для РМ10 – від 12 % до 40 %; для РМ2,5 – від 0,3 % до 0,5 %. На межі санітарно-захисної зони ці значення становлять 80% та 0,5% відповідно.
Effectiveness of a Problem-Based Learning Approach in Clinical Teaching of The Undergraduate Nursing Students: An Integrative Literature Review
Authors: Manyisa Zodwa Margaret , Khunou Sisinyana Hannah 
Published: August 2024

Aims: To explore the effectiveness of the PBL approach in the clinical teaching of undergraduate nursing students
Methods: An integrative literature review was used to evaluate the effectiveness of PBL in integrating theory and practice among nursing students in clinical practice. The review searched research articles published in English from 2013 to 2023. Medical Subject Headings (MeSH) guidelines were used to identify relevant search terms, which included PBL. Articles that met the inclusion criteria entailed research articles published in peer-reviewed journals, written in English and the population of undergraduate nursing students. A matrix was developed that outlined (1) characteristics of the study population and (2) challenges affecting the implementation and effectiveness of PBL in clinical teaching.
Results: The literature search revealed twenty-one (n=21) studies conducted in various countries. The studies highlighted positive experiences on the effectiveness of the PBL approach in the clinical teaching of undergraduate nursing students. Skills such as critical thinking, problem-solving, and patient diagnosis were attributed to using PBL in the simulation.
Conclusion: This paper contributes to the body of knowledge on the effectiveness of the PBL approach in the clinical teaching of undergraduate nursing students. It also contributes to the body of knowledge on PBL in nursing education, particularly in South Africa.
Factors Contributing to Bleeding in Breast Cancer Wounds: A Literature Review
Authors: Sari Nurmila , Haryanto Haryanto , Hastuti Lidia 
Published: August 2024

Aims: In Indonesia, breast cancer ranks first in the number of new cases; there is a significant increase in the number of cases every year. Complications of breast cancer include bleeding that affects quality of life, psychology, activity limitations, anemia, increased treatment time, economic burden, and the threat of death. Breast cancer is often found in advanced stages, increasing the risk of bleeding. The literature review analyzes research articles that discuss factors associated with breast cancer wound bleeding.
Methods: Inclusion criteria include articles discussing breast cancer bleeding, cancer in general, cancer wounds, themes relevant to research, research can be a quantitative, qualitative, mixed method, meta-analysis, in English and Indonesian, from 2013 to 2023, full text. Keywords in the database are "risk factors," bleeding, breast cancer, and malignant wound. Literature searches use journal databases, namely Pubmed and ScienceDirect. This research uses the author's literature review method to analyze, evaluate, and criticize published research results.
Results: Fifteen articles met the inclusion criteria, most of them retrospective, examining factors of anticoagulation therapy on breast cancer bleeding, articles examining bleeding factors in several types of cancer, and five articles examining factors of post-operative breast cancer bleeding.
Conclusion: Breast cancer wound bleeding factors are chemotherapy, radiation, comorbidities, malignant fungating wounds, BMI≥40, dressings, thrombocytopenia, reconstructive surgery, advanced stage, infection, and therapy (anticoagulants, anti-inflammatory pain relief, NSAIDs). Suggestions for further research are analyzing various bleeding factors, examining which factors are most related to bleeding, and looking at the pattern of relationships between several factors in bleeding.
Analysis of Potential Business Service Retribution to Regional Original Revenue in Pacitan Regency 2019-2023
Authors: Maharani Tania Diva , Saputra Dany Adi 
Published: August 2024

This study aims to analyze the potential revenue from business service retribution in Pacitan Regency by utilizing the actual revenue data of the retributions from 2019 to 2023. This research is a qualitative descriptive study. The primary data was obtained from interviews and the secondary data was collected from the financial reports of Pacitan Regency. To analyze the data, the researcher used a potential analysis of the current conditions from 2019 to 2023 and a trend analysis to project estimated revenues. The researcher used the data in the period before the pandemic and after the pandemic for the next four years. The potential analysis results indicate that there are components of business service retribution that potentially need to be improved. These components are fish auction place retribution, with revenue realization of 99.51% of the set budget, and recreational and sports places retribution, with revenue realization of 83.43% of the set budget. The trend analysis predicts an annual increase in revenue of IDR 2,722,774,900.50 according to predictive analytics after the pandemic. Based on this research, several aspects need to be improved to enhance the revenue from business service retribution, particularly concerning the quality of Human Resources (HR). The improvement and addition of facilities at locations as the objects of business service retribution are also needed.
Pendekatan Historis Dalam Studi Islam
Authors: Karta Topik Pirdaus , Muawanah Uyu 
Published: August 2024

Pendekatan historis ini sangat penting untuk memahami agama, karena agama itu sendiri berasal dari situasi yang konkrit dan terkait dengan kondisi sosial. Melalui pendekatan sejarah ini diminta untuk membiasakan diri dengan keadaan sebenarnya dengan pelaksanaan acara tersebut. Seseorang yang ingin memahami Al-Quran atau peristiwa yang mengikuti wahyu Al-Quran. Tujuan dari pendekatan sejarah adalah rekonstruksi masa lalu dikumpulkan secara sistematis dan objektif Menilai, meninjau, dan meringkas bukti, temukan fakta dan buat kesimpulan yang bermakna. Pendekatan historis mendorong kita untuk melompat keluar dari dunia idealis empiris dan global. Manusia berasal dari keadaan ini untuk melihat kesenjangan atau keselarasan antara apa yang ada di konten idealis dengan dunia empiris dan historis. Lalu lapangan Sejarah mencakup semua pengalaman manusia.
The role of medical regulations and medical regulators in fostering the use of eHealth data for strengthened Continuing Professional Development (CPD). A document analysis with key informants’ interviews
Authors: Pizzuti Carol , Palmieri Cristiana , Shaw Tim 
Published: August 2024

Abstract

Background
In recent times, medical regulators have been taking measures to strengthen CPD requirements for medical practitioners. In particular, greater emphasis has been placed on CPD activities linked to workplace-based assessment, health outcomes measurement, and quality improvement. These activities require the use of health data, and eHealth data analytics is emerging as a digital solution to simplify tasks and processes.
Although there is a growing interest and need for alignment between regulatory policies, impactful CPD activities, and digital health research and innovation, there is little or no research into the role that medical regulations and regulators are playing in fostering the use of eHealth data to strengthen CPD.
Methods
Medical regulations and CPD requirements of 5 selected countries (Australia, Canada, New Zealand, UK, USA) were collected and analysed using the systematic READ approach for qualitative health policy research.
Online semi-structured interviews were conducted with 20 key informants from 13 medical bodies to validate findings and gather additional insights. Informants were purposively selected because of their direct involvement in policy development. The interviews were analysed using a hybrid approach of deductive and inductive thematic analysis. The COREQ checklist was used for reporting the findings.
Results
The documents analysed do not mention the use of eHealth data for CPD purposes or refer to it only as a potential data source for CPD completion and compliance.
Participants corroborated the document analysis results and provided insights into the following themes: context and rationale of current policy choices and future policy development; roles, responsibilities, and functions of relevant medical bodies in fostering the use of eHealth data for strengthened CPD; barriers, challenges, and enablers for implementation.
Conclusion
Current medical regulations and CPD requirements do not foster the use of eHealth data for CPD purposes. Recommendations for future policy development are reliant on further research on key policy concepts, regulators’ internal organisational factors, and interorganisational collaboration within the CPD ecosystem.
The alignment of all relevant CPD stakeholders is required to tackle existing barriers and challenges and promote digital health innovation in the CPD landscape. Medical regulators are called to play a leadership role in this scenario.
Direct transdifferentiation of tumorigenic melanoma cells induces tumor cell reversion
Authors: Utikal Jochen , Wang Yiman , Liu Ke , Novak Daniel , Federico Aniello , Xu Cai , Horschitz Sandra , Vierthaler Marlene , Sun Qian , Wang Nina , Poelchen Juliane , Steinfass Tamara , Hüser Laura , Mall Moritz , Umansky Viktor 
Published: August 2024

Abstract

Melanoma is an aggressive skin cancer and highly lethal at advanced stages due to its high tumorigenicity and metastatic capacity. Changing the phenotype of cancer cells from one lineage to another, a process called transdifferentiation, leads to tumor cell reversion, which goes along with a drastic reduction of their tumorigenicity. Via ectopic overexpression of four neuronal transcription factors we transdifferentiated melanoma cells into neuron-like cells expressing neuronal markers and showing a neuron-like morphology. Moreover, the tumorigenic and metastatic potential of transdifferentiated cells in vitro and in vivo was significantly reduced. Transdifferentiated cells were also more sensitive to radiotherapy compared with their parental counterparts. We conclude that transdifferentiation of cancer cells into terminally differentiated neuron-like cells might represent a prospective new therapeutic approach for the treatment of malignant melanoma.
Numerical analysis on three-dimensionality of supersonic flow over open cavities
Authors: Seth Soham 
Published: August 2024

Abstract

This study utilizes commercially available Computational Fluid Dynamics (CFD) software to analyze how variations in the length-to-width (L/W) ratio impact open cavity flow characteristics under supersonic conditions (Mach number of 1.5). By maintaining a constant length-to-depth (L/D) ratio, and varying cavity width, the focus of this study lies on understanding how changes in cavity geometry influence flow patterns. Key parameters such as pressure coefficients, velocity distributions, streamlines, and vortices are investigated to gain insights into the three-dimensional nature of flow within the cavities. By varying width, while keeping cavity length and depth constant, the study aims to provide a deeper understanding of flow phenomena within such cavities. The chosen Mach number ensures consistency across simulations, facilitating a focused exploration of the effects of cavity geometry on flow features.
Solving the Brazilian Amazon land use &amp; land cover puzzle: four steps to ensuring conservation, justice, and sustainable development.
Authors: Stabile Marcelo , Salomão Caroline , Coimbra Pedro , Guimarães Andre , Garcia Andrea , Alencar Ane , Pinto Erika , Souza Lucimar , Rattis Ludmila , Macedo Marcia , Coe Michael , Moutinho Paulo 
Published: August 2024

Abstract

Brazil emerged as an agricultural powerhouse in the last four decades, producing 33% of the world’s soybeans and 14% of its beef. Historically, much of that growth has come at the expense of its native ecosystems. A growing body of work suggests this paradigm is outdated and brings negative social and environmental outcomes. Here, we provide an integrated analysis of an alternate pathway to solve this puzzle based on a scenario of land-use allocation governance. We compare it with a business-as-usual scenario through the lens of cost, revenues, and impact. The path forward is based on four fronts that can reduce deforestation while increasing production and social well-being. First, allocate undesignated public forests as protected areas and improve the management of new and existing ones. This first strategy would generate a positive return, and foster recognition of human rights, cultural preservation, and improved livelihoods. Second, prevent legal deforestation on private lands and promote compliance with Brazil's Native Vegetation Protection Law (Brasil, 2012) through restoration, also generating positive returns and directing the region towards a zero-deforestation future. Third, promote sustainable intensification of medium and large farms. It would allow Brazil to achieve its agricultural production targets while freeing land up for soy expansion and restoration. Fourth, improve technical assistance and increase market access and income of smallholders while reducing deforestation pressure on family farms. Implementing these fronts requires a coordinated effort between public and private institutions. Still, it would reestablish Brazil`s global leadership in managing natural resources and mitigating climate change.
Investing in U.S. forests to mitigate climate change
Authors: Favero Alice , Baker Justin , Sohngen Brent , Daigneault Adam , Wade Chris , Ohrel Sara 
Published: August 2024

Abstract

In the recent years several U.S. federal policies have been adopted to support forest-based climate mitigation actions. This study focuses on current federal funds allocated to forest for climate change mitigation activities to assess of much they could deliver in terms of net sequestration under a best-case (optimized) scenario in which the cheapest abatement options are implemented first and if these funds are in line to domestic targets for 2030 and 2050. Multiple investments pathways are tested under two different assumptions on CO2 fertilization to provide a range of future mitigation projections from forests. Results show that under annual investments in line with current federal funds (around $640 million), the expected carbon flux of U.S. forests is around 770 MtCO2/yr in 2030 (+ 13% increase from baseline) and 800–880 MtCO2/yr in 2050 (+ 10% increase from baseline). When CO2 fertilization is accounted for, the projections of forest carbon sequestration increase by more than 30% with almost 1 GtCO2 sequestration achieved under federal funds in 2030, increasing the likelihood of meeting both short-term and long-term domestic targets.
Skillful land and marine heatwave forecasting through hybrid statistical dynamical modelling
Authors: Zhao Tongtiegang , Huang Zeqing , Wang Hao 
Published: August 2024

Abstract

Skillful forecasting of global heatwaves is crucial for mitigating their escalating impacts on human societies and ecosystems across various sectors. While global climate models generate invaluable dynamical temperature forecasts, the crucial role of model output statistics (MOS) in enhancing global heatwave forecasting has not been thoroughly investigated. In this study, we unravel the potential of hybrid statistical dynamical modelling in generating heatwave forecasts on a global scale. Specifically, a pioneering MOS toolkit is developed to iteratively take into consideration key attributes—bias, spread, trend, and association—within raw forecasts through a series of methodical one-factor-at-a-time experiments. A case study is devised for forecasts of 2-meter air temperature over land and sea surface temperature generated by the National Center for Environmental Prediction’s Climate Forecast System version 2. Our analysis exposes the detrimental impacts of biases and unreliable ensemble spreads within raw temperature forecasts, leading to an abundance of false positives and negatives, ultimately diminishing the skill of heatwave predictions, often plunging below − 100%. At the lead time of 0 months, integrating incremental considerations of bias, spread, trend, and association results in substantial skill enhancements across global land and marine grid cells. Notably, land heatwave forecast skill sees a remarkable ascent from a staggering − 171.63%±290.42% to a promising 5.61%±15.74%, while marine heatwave forecast skill improves from − 75.74%±206.68–23.96%±23.47%. Despite the anticipated degradation of skill with lead time, our results underscore MOS’s efficacy in leveraging raw forecast data to maintain positive forecasting outcomes.
Prediction of Child Stunting with Machine Learning Algorithms: A Cross-Country Study of Bangladesh, India, and Nepal
Authors: Sara Sabiha Shirin , Khan Md. Salauddin , Talukder Ashis 
Published: August 2024

Abstract

Objectives
This study aims to signify the best classifier to predict stunting with the comparative scenario between three South Asian countries that will help mitigate the urgency of addressing child stunting during childhood.
Methods
The DHS datasets like BDHS 2017-18, IDHS 2019-21, and NDHS 2016 had been used here to extract the necessary information for measuring child stunting. After completing inevitable parts, frequency table and chi-square had been used to present the compared scenario and the prediction of child stunting was performed with different machine learning algorithms.
Results
The prevalence of stunting is 28%, 33.1%, and 32.9% for BD, IN, and NP respectively. The result indicates that 53% stunted children are male in India (p < 0.01), but not significant in BD and NP. Moreover, 68% Nepali stunted children did not have baby postnatal checkup (p = 0.014). In addition, immunization status was only significant in Bangladesh (p < 0.01). The RF classifier outperformed among all the classifiers with 77.66%, 62.45%, and 74.81% accuracy score for BD, IN, and NP respectively.
Conclusion
The country-wise prevalence of child stunting with the associated factors is highlighted by this study. Moreover, to detect stunting early, this study suggests using the RF classifier for all the country. The findings of this study will help the policy makers and the other agencies to take the immediate step to reduce child stunting and make the world better for the next generations by the early detection of malnutrition using the classifier.
Bacterial pneumonia during successful treatment of metastatic endometrial cancer with dostarlimab- case report and a literature review
Authors: Cosso Federica , Petrella Maria Cristina , Izzi Martina , Vangelisti Marco , Cerbai Cecilia , Rossi Gemma , Villanucci Alessandro , Amunni Gianni 
Published: August 2024

Abstract

Endometrial cancer is a frequent female cancer characterized by four molecular subtypes including the microsatellite instable-high (MSI-H) subgroup where use of immune checkpoint inhibitors (ICIs) showed encouraging activity in the metastatic setting. Nonetheless, adverse events during this particular treatment are still new in endometrial cancer and lack of data on ICIs long-term use are currently available. Herein, we report a rare case of MSI-H metastatic endometrial cancer which has developed a bacterial pneumonia that could mimic an immune-related adverse events during a long-term response with dostarlimab.
Applying text-mining to clinical notes: The identification of patient characteristics from Electronic Health Records (EHRs)
Authors: Hoope Simone ten , Welvaars Koen , Geijtenbeek Kylian van , Klok-Everaars Mellanie , Schaik Sander van , Karapinar-Çarkit Fatma 
Published: August 2024

Abstract

Background
Clinical notes contain information on critical patient characteristics, which, if overlooked, could escalate the risk of adverse events as well as miscommunication between the healthcare professional and the patient. This study investigates the feasibility of employing text-mining to extract patient characteristics from Electronic Health Records (EHRs) and compares the effectiveness of text-mining against human intelligence for identifying four patient characteristics: language barrier, living alone, cognitive frailty and non-adherence.
Methods
A manual “golden” standard was created from 1,120 patient files (878 patients) that had unplanned hospital readmissions. Each patient was categorized under one of the four characteristics with supporting free text extracted from their EHRs. For simple terminology, a rule-based (RB) SQL query was used, and for complex terms, Named Entity Recognition (NER) models were used. Model performance was compared to the manual standard. The primary outcomes were recall, specificity, precision, negative predictive value (NPV) and F1-score.
Results
Performance of each patient characteristic was evaluated using a separate train/test dataset and an additional evaluation dataset was used for the NER models. Within the train/test set, the ‘language barrier’ RB query achieved a recall of 0.99 (specificity of 0.96). The ‘living alone’ NER model showed a recall of 0.86 (specificity of 0.94) on the train/test set and a recall of 0.81 (specificity of 1.00) on the validation set. In that same order, the ‘cognitive frailty’ model yielded a recall of 0.59 (specificity 0.76) on the train/test set and a recall of 0.73 (specificity 0.96) on the validation set. The NER model for non-adherence showed a recall of 0.75 (specificity of 0.99) on the train/test set, and a recall of 0.90 (specificity of 0.99) on the validation set. The models showed the tendency to overestimate the presence of patient characteristics such as identifying a family member’s language barrier as the patient’s.
Conclusion
This study successfully demonstrated the feasibility of applying text-mining to identify patient characteristics from EHRs. Also, it seems for more complex terminology, NER models outperform the rule-based option. Future work involves refining these models for broader application and terminology in clinical setting.