MethodsX最新文献_第9页

Qualitative study on mental health screening needs of pregnant women in primary health care 初级卫生保健孕妇心理健康筛查需求的质性研究。

IF 1.6

MethodsX Pub Date : 2024-12-20 DOI: 10.1016/j.mex.2024.103117

Yuli Kusumawati , Izzatul Arifah , Eny Purwandari , Sukirman , Anindya Rintha Affindha

{"title":"Qualitative study on mental health screening needs of pregnant women in primary health care","authors":"Yuli Kusumawati , Izzatul Arifah , Eny Purwandari , Sukirman , Anindya Rintha Affindha","doi":"10.1016/j.mex.2024.103117","DOIUrl":"10.1016/j.mex.2024.103117","url":null,"abstract":"<div><div>Mental health is currently a global problem in all age groups. the prevalence of mental disorders have not been described, especially pregnant women. This study aims to explore information about the need for screening and mental services provided in health centers and their recordings. This qualitative research was conducted with a phenomenological approach. This research was conducted at Gajahan, Kratonan, Penumping, Gilingan, and Sangkrah Health Centers. The main informants were midwives. Triangulation informants were 15 pregnant women, head of the health center and mental health workers. Data were collected through focus group discussions (FGD) and in-depth interviews. Data were analyzed using thematic analysis supported by Atlantis software. This study found three main themes, namely:<ul><li><span>•</span><span><div>The need for mental health screening for pregnant women, the implementation of mental health screening for pregnant women and related to reporting of mental health screening for pregnant women.</div></span></li><li><span>•</span><span><div>Mental health screening for pregnant women in health centers is a very important activity and must be a priority to detect and prevent mental disorders in pregnant women.</div></span></li><li><span>•</span><span><div>A policy is needed as a basis for implementing mental health screening for pregnant women with special recording and reporting.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103117"},"PeriodicalIF":1.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11743583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach 利用机器学习方法分析ENSO厄尔尼诺现象期间孟加拉摄制区泥炭地火灾的脆弱性。

IF 1.6

MethodsX Pub Date : 2024-12-20 DOI: 10.1016/j.mex.2024.103128

Fauziah , Lilik B. Prasetyo , Nonon Saribanon , Nur Hayati

{"title":"Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach","authors":"Fauziah , Lilik B. Prasetyo , Nonon Saribanon , Nur Hayati","doi":"10.1016/j.mex.2024.103128","DOIUrl":"10.1016/j.mex.2024.103128","url":null,"abstract":"<div><div>Peatland fires are increasingly becoming a concern as a recurring environmental issue in Indonesia, particularly along the east coast of Sumatra Island, in Bengkalis Regency. Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. The algorithm used are Random Forest (RF) and Logistic Regression (Log-Reg), with independent variables including physiography, peat physical characteristics, anthropogenic factors, climate, and NDMI. The total burned area in Bengkalis Regency in 2019 was 175.85 km², with Rupat District being the area with the largest burned area. The best model is RF that was able to predict peatland fires in Bengkalis Regency effectively, with achieving an AUC value of 0.972. The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. The accuracy of RF reached 95.07%. The classification results indicated three levels of peatland fire vulnerability in Bengkalis Regency<ul><li><span>•</span><span><div>Non-Vulnerable: Areas classified as non-vulnerable are regions where the risk of peatland fires is minimal or non-existent.</div></span></li><li><span>•</span><span><div>Low Vulnerability: These areas have a moderate risk of peatland fires.</div></span></li><li><span>•</span><span><div>High Vulnerability: Areas with high vulnerability are the most susceptible to peatland fires.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103128"},"PeriodicalIF":1.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11741053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia 印度尼西亚西爪哇万隆-索林地下水盆地数值与随机联合地下水流动模式描述。

IF 1.6

MethodsX Pub Date : 2024-12-18 DOI: 10.1016/j.mex.2024.103112

Achmad Darul , Dasapta Erwin Irawan , Prihadi Sumintadireja , Gumilar Ramadhan

{"title":"Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia","authors":"Achmad Darul , Dasapta Erwin Irawan , Prihadi Sumintadireja , Gumilar Ramadhan","doi":"10.1016/j.mex.2024.103112","DOIUrl":"10.1016/j.mex.2024.103112","url":null,"abstract":"<div><h3>Background</h3><div>The first groundwater modeling of the Bandung Aquifer Basin in 2009 used a finite difference method with a 0.5 km² grid, representing three volcanic geological layers. It assumed uniform hydraulic properties and used an equivalent homogeneous aquifer with anisotropic hydraulic conductivity.<ul><li><span>•</span><span><div><em>Dataset:</em> The study analyzed a comprehensive dataset of 196 boreholes. Of these, 130 boreholes had pumping test data, while the remaining 66 had both pumping test and well logging data. This diverse dataset provided a robust foundation for the analysis. Hydraulic conductivity (K) was estimated using the ordinary kriging method, a geostatistical technique that allows for optimal interpolation based on regression against observed values of surrounding data points.</div></span></li><li><span>•</span><span><div><em>Analyses:</em> This study examines K distribution using a block model, employing finite difference modeling with an structured grid 0.1 km². Regionalized variable scenarios were applied to reduce estimation errors for certain areas, showing improved correlation.</div></span></li><li><span>•</span><span><div><em>Expected output:</em> Results include: (1) Distribution maps of hydraulic conductivity; (2) Validation metrics and visualization comparing modeled to observed data; (3) Assessments of heterogeneous K values' impact on groundwater flow; (4) Recommendations for sustainable groundwater management practices.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103112"},"PeriodicalIF":1.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142983743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2 加强青光眼诊断：合成图像中的生成对抗网络以及使用预训练 MobileNetV2 进行分类。

IF 1.6

MethodsX Pub Date : 2024-12-18 DOI: 10.1016/j.mex.2024.103116

I. Govindharaj , D. Santhakumar , K. Pugazharasi , S. Ravichandran , R. Vijaya Prabhu , J. Raja

{"title":"Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2","authors":"I. Govindharaj , D. Santhakumar , K. Pugazharasi , S. Ravichandran , R. Vijaya Prabhu , J. Raja","doi":"10.1016/j.mex.2024.103116","DOIUrl":"10.1016/j.mex.2024.103116","url":null,"abstract":"<div><div>The disease affects the optic nerve and represents the principle reasons of irreversible vision loss, mostly asymptomatic and uncontrolled. Consequently, early and accurate diagnosis is critical to prevent or reduce its effect, however, conventional diagnostic techniques often fail to provide concrete results. In this regard, we present a new approach built on Generative Adversarial Networks (GAN) and MobileNetV2 pretrained architecture for diagnosing glaucoma. Here, the imbalance in medical imaging that comes with small datasets is addressed using GANs to generate improved quality of the fundus images. Such images are synthesized using more advanced methods assured in enhancing picture reality and fine protégé to details, specifically on the vessel network in fundus images. Gaussian Filtering is used to clean the data from noise which improve the quality of inputs. Optic cup segmentation is done by an enhanced level set algorithm, to accurately separate glaucomatous characteristics. Lastly, the MobileNetV2 model is fine-tuned to make reliable differentiation of normal and glaucoma images. The effectiveness of the proposed presentations is described in detail using the following results: accuracy of classification – 98.9 %. This approach does not only contribute to glaucoma screening but also can also reveal the benefits of the GANs and transfer learning in medical imaging.<ul><li><span>•</span><span><div>A GAN approach to generate high-quality fundus image datasets in an attempt to minimize dataset differences.</div></span></li><li><span>•</span><span><div>Implemented improved Enhanced Level Set Algorithm for Optic Cup segmentation.</div></span></li><li><span>•</span><span><div>Built on top of the pretrained MobileNetV2 to obtain better results of glaucoma classification.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103116"},"PeriodicalIF":1.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and validation of a UV–Vis spectrophotometric method for estimation of total content of chalcone

IF 1.6

MethodsX Pub Date : 2024-12-18 DOI: 10.1016/j.mex.2024.103119

J.R.S. Botelho , A. Caeiro , H.C. Sousa , M.E.M. Braga , M.G. Campos

{"title":"Development and validation of a UV–Vis spectrophotometric method for estimation of total content of chalcone","authors":"J.R.S. Botelho , A. Caeiro , H.C. Sousa , M.E.M. Braga , M.G. Campos","doi":"10.1016/j.mex.2024.103119","DOIUrl":"10.1016/j.mex.2024.103119","url":null,"abstract":"<div><div>In this study, a straightforward spectrophotometric method was developed for quantifying the total content of chalcones in a sample. The method exhibits linearity, accuracy, precision, repeatability, and enables the estimation of total chalcone content in trans-chalcone equivalents for a sample diluted in carbon tetrachloride and added to antimony pentachloride. The analytical wavelength was determined to be 390 nm. Linearity was observed within the concentration range of 0.3 to 17.6 µg/mL of trans-chalcone in CCl<sub>4</sub>, with a R<sup>2</sup> of 0.9994 and a random dispersion of the residual concentrations. In the accuracy study, recoveries ranged from 98 to 102 %. In the inter-day precision study, the compared data showed no statistically significant differences based on p-values from Student's <em>t</em>-test and the two-tailed Kruskal-Wallis test. In the repeatability study, the coefficients of variation were 1.92 % and 2.08 %. Additionally, this method is specific for trans-chalcone in the presence of the flavanol (+)-catechin, the flavone luteolin, and the flavonol quercetin. The total content of chalcone was estimated for plant extracts in trans-chalcone equivalents (tCe). The total content of chalcones in these extracts ranged from non-detected up to 22 % of tCe. Therefore, this method can be used for the initial estimation of the overall chalcone content.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103119"},"PeriodicalIF":1.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11750579/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143024085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new airtight sampling method for sulfur hexafluoride (SF6) in groundwater 地下水中六氟化硫（SF6）密封采样新方法。

IF 1.6

MethodsX Pub Date : 2024-12-18 DOI: 10.1016/j.mex.2024.103120

Raka Sunderland, Dan Larsen, Scott Schoefernacker, Deborah Leslie

{"title":"A new airtight sampling method for sulfur hexafluoride (SF6) in groundwater","authors":"Raka Sunderland, Dan Larsen, Scott Schoefernacker, Deborah Leslie","doi":"10.1016/j.mex.2024.103120","DOIUrl":"10.1016/j.mex.2024.103120","url":null,"abstract":"<div><div>In the past 20 years, sulfur hexafluoride (SF<sub>6</sub>) has been considered a highly reliable tracer for assessing modern water (< 65 yrs old) in groundwater. However, modern-air contamination may introduce complications in interpreting data obtained using current sampling methods. A new airtight methodology isolates the sample from modern ambient air; thus, returning more reproducible and reliable results when compared to two traditional (air-sensitive and non-airtight) methods. The new airtight method returned results within 0.03–0.05 fmol/L SF<sub>6</sub> of expected SF<sub>6</sub> concentration for pre-modern waters (0.02–0.09±0.01 fmol/L). In contrast, the air-sensitive and non-airtight traditional methods returned results within 0.00–0.90 fmol/L and 0.02–1.21 fmol/L of the expected value, respectively. It is suspected that transformers in proximity to wells leak SF<sub>6</sub> which subsequently partitions into the samples obtained using traditional air-sensitive and non-airtight methods, thus creating erratic SF<sub>6</sub> results.<ul><li><span>•</span><span><div>Comparative analyses of a new airtight method with traditional methods were performed and returned lower SF<sub>6</sub> concentrations with the new 2022 airtight method.</div></span></li><li><span>•</span><span><div>The new airtight method shows reproducible low-level detection of SF<sub>6</sub> concentrations and may reduce sampling error in production wells in urban areas that are co-located with transformers which are SF<sub>6</sub>-emitting sources.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103120"},"PeriodicalIF":1.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732182/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques 基于软分类技术的农业光谱重叠和异质性研究。

IF 1.6

MethodsX Pub Date : 2024-12-17 DOI: 10.1016/j.mex.2024.103114

Shubham Rana , Salvatore Gerbino , Petronia Carillo

{"title":"Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques","authors":"Shubham Rana , Salvatore Gerbino , Petronia Carillo","doi":"10.1016/j.mex.2024.103114","DOIUrl":"10.1016/j.mex.2024.103114","url":null,"abstract":"<div><div>This study explores the application of fuzzy soft classification techniques combined with vegetation indices to address spectral overlap and heterogeneity in agricultural image processing. The methodology focuses on the integration of three key vegetation indices: Soil-Adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI), and Modified Chlorophyll Absorption in Reflectance Index (MCARI), with Modified Possibilistic C-Means (MPCM) clustering. The analysis involves preprocessing the image data, calculating the vegetation indices, and applying the MPCM algorithm to perform soft classification, allowing pixels to belong to multiple classes with varying degrees of membership. A quantitative assessment is conducted to evaluate the accuracy of the classification results. Methodological approach:<ul><li><span>•</span><span><div>Integrating advanced image processing techniques and vegetative band ratios with the fuzzy classification method MPCM to handle the inherent complexities in agricultural image analysis, such as spectral overlap and mixed boundaries.</div></span></li><li><span>•</span><span><div>Quantitative assessment of classification accuracy using Fuzzy Error Matrices (FERM).</div></span></li></ul></div><div>This approach provides a robust framework for analyzing spectral overlaps among the crops and weeds and improving the accuracy of crop classification, particularly in heterogeneous environments.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103114"},"PeriodicalIF":1.6,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142983997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Production method for electrospun chitosan-based membranes

IF 1.6

MethodsX Pub Date : 2024-12-17 DOI: 10.1016/j.mex.2024.103113

D.I. Sánchez-Machado, J. López-Cervantes, K.L. Hernández-Ruiz, J.E. Yépiz-Muñóz, L.Z. Rodríguez-Anaya, J.R. González-Galaviz

{"title":"Production method for electrospun chitosan-based membranes","authors":"D.I. Sánchez-Machado, J. López-Cervantes, K.L. Hernández-Ruiz, J.E. Yépiz-Muñóz, L.Z. Rodríguez-Anaya, J.R. González-Galaviz","doi":"10.1016/j.mex.2024.103113","DOIUrl":"10.1016/j.mex.2024.103113","url":null,"abstract":"<div><div>Electrospinning can be used to prepare membranes with characteristics for biomedical application. In this work, the electrospinning conditions for the fabrication of membranes based on polymers extracted from natural sources such as chitosan and collagen were optimized (injection flow, injection volume, distance from the collector to the neddle, needle size and voltage). Specifically, four formulations were prepared with pure chitosan and mixtures of collagen (purified or hydrolyzed) and agarose. The optimal electrospinning conditions were an injection flow rate of 0.1 ml/h, a 16 G needle, an injection volume of 5 ml, a distance of 8 cm between the needle and the collector, and a voltage of 20 kV. Agarose addition resulted in greater elongation at break and maximum stress, and greater elasticity was observed in the mixture with hydrolyzed collagen. Fiber formation was observed in the structure prepared from chitosan and hydrolyzed collagen. The water holding capacity was greatest in the pure chitosan membranes and the addition of other polymers reduced this property by their interaction. The contributions of this research are as follows:<ul><li><span>•</span><span><div>The electrospinning conditions were the same for the fabrication of membranes from pure chitosan and chitosan mixed with natural polymers.</div></span></li><li><span>•</span><span><div>The mechanical and biological properties of the membranes were improved by the addition of hydrolyzed collagen and agarose.</div></span></li><li><span>•</span><span><div>The addition of hydrolyzed collagen promoted the formation of fibers and porous membranes.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103113"},"PeriodicalIF":1.6,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11750547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143024088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating and retrieving learning analytics data from heterogeneous platforms using ontology alignment: Graph-based approach 使用本体对齐：基于图的方法集成和检索来自异构平台的学习分析数据。

IF 1.6

MethodsX Pub Date : 2024-12-16 DOI: 10.1016/j.mex.2024.103092

Mohd Hafizan Musa , Sazilah Salam , Siti Feirusz Ahmad Fesol , Muhammad Syahmie Shabarudin , Jack Febrian Rusdi , Mohd Adili Norasikin , Ibrahim Ahmad

{"title":"Integrating and retrieving learning analytics data from heterogeneous platforms using ontology alignment: Graph-based approach","authors":"Mohd Hafizan Musa , Sazilah Salam , Siti Feirusz Ahmad Fesol , Muhammad Syahmie Shabarudin , Jack Febrian Rusdi , Mohd Adili Norasikin , Ibrahim Ahmad","doi":"10.1016/j.mex.2024.103092","DOIUrl":"10.1016/j.mex.2024.103092","url":null,"abstract":"<div><div>This study explores the possibility of integrating and retrieving heterogenous data across platforms by using ontology graph databases to enhance educational insights and enabling advanced data-driven decision-making. Motivated by some of the well-known universities and other Higher Education Institutions ontology, this study improvises the existing entities and introduces new entities in order to tackle a new topic identified from the preliminary interview conducted in the study to cover the study objective. The paper also proposes an innovative ontology, referred to as Student Performance and Course, to enhance resource management and evaluation mechanisms on course, students, and MOOC performance by the faculty. The model solves the issues of data accumulation and their heterogeneity, including the problem of having data in different formats and various semantic similarities, and is suitable for processing large amounts of data in terms of scalability. Thus, it also offers a way to confirm the process of data retrieval that is based on performance assessment with the help of an evaluation matrix.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103092"},"PeriodicalIF":1.6,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142983130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced parameter estimation for Lomax distribution using a contemporary triangular fuzzy ranking method 基于现代三角模糊排序法的Lomax分布参数估计。

IF 1.6

MethodsX Pub Date : 2024-12-15 DOI: 10.1016/j.mex.2024.103097

D. Kalpanapriya, Pullooru Bhavana

{"title":"Enhanced parameter estimation for Lomax distribution using a contemporary triangular fuzzy ranking method","authors":"D. Kalpanapriya, Pullooru Bhavana","doi":"10.1016/j.mex.2024.103097","DOIUrl":"10.1016/j.mex.2024.103097","url":null,"abstract":"<div><div>This study presents a novel approach to parameter estimation for the Lomax distribution using a contemporary triangular fuzzy ranking method. The Lomax distribution is critical in reliability analysis and lifetime data modeling but often faces challenges when handling uncertain or imprecise data. Our proposed ranking function for Triangular Fuzzy Numbers (TFNs) enhances the estimation process in fuzzy environments, enabling better interpretation of incomplete datasets. Extensive numerical simulations validate our approach, demonstrating significant improvements over existing methods.<ul><li><span>•</span><span><div>Introduction of a contemporary triangular fuzzy ranking method to improve parameter estimation for the Lomax distribution.</div></span></li><li><span>•</span><span><div>Enhanced processing of incomplete datasets to achieve more reliable estimations in uncertain environments.</div></span></li><li><span>•</span><span><div>Validation through extensive simulations, showcasing the robustness and advantages of the proposed ranking function.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103097"},"PeriodicalIF":1.6,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720877/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0