IF 1.6

MethodsX Pub Date : 2024-10-23 DOI: 10.1016/j.mex.2024.103018

{"title":"ViT-HHO: Optimized vision transformer for diabetic retinopathy detection using Harris Hawk optimization","authors":"","doi":"10.1016/j.mex.2024.103018","DOIUrl":"10.1016/j.mex.2024.103018","url":null,"abstract":"<div><div>Diabetic retinopathy (DR) is a significant cause of vision impairment globally, emphasizing the importance of timely and precise detection to prevent severe consequences. This study presents an optimized Vision Transformer (ViT) model that incorporates Harris Hawk Optimization (HHO) to improve the automated detection of diabetic retinopathy (DR). The ViT architecture utilizes self-attention mechanisms to capture local and global features in retinal images. Additionally, HHO optimizes key hyperparameters to maximize the performance of the model. The proposed ViT-HHO model achieved exceptional performance on the APTOS-2019 and IDRiD datasets. Specifically, it achieved 99.83 % accuracy, 99.78 % sensitivity, 99.85 % specificity, and 99.80 % AUC-ROC on the APTOS-2019 dataset, surpassing traditional CNNs and alternative optimization techniques. The model exhibited strong generalization on the IDRiID dataset, achieving an accuracy of 99.11 % and an AUC-ROC of 99.12 %. The ViT-HHO model demonstrates the potential for enhancing the clinical detection of diabetic retinopathy (DR), providing high precision and reliability.<ul><li><span>•</span><span><div>An optimized Vision Transformer (ViT) model was developed using HHO for improved detection of Diabetic Retinopathy (DR).</div></span></li><li><span>•</span><span><div>The model was validated on the APTOS-2019 and IDRiID datasets, demonstrating superior accuracy and AUC-ROC metrics.</div></span></li><li><span>•</span><span><div>The model's generalization and robustness were demonstrated through comprehensive performance evaluations.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529066","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

The TOPSIS method: Figuring the landslide susceptibility using Excel and GIS TOPSIS 方法：使用 Excel 和 GIS 计算滑坡易发性

IF 1.6

MethodsX Pub Date : 2024-10-17 DOI: 10.1016/j.mex.2024.103005

{"title":"The TOPSIS method: Figuring the landslide susceptibility using Excel and GIS","authors":"","doi":"10.1016/j.mex.2024.103005","DOIUrl":"10.1016/j.mex.2024.103005","url":null,"abstract":"<div><div>The current study introduced Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to enhance landslide susceptibility. It determines the relative distance of each alternative from the ideal best and ideal worst value. The ArcGIS environment was used to prepare eleven landslide conditioning factors, while raster values were extracted for the decision matrix preparation. We utilized subjective expert judgment to create a weighted matrix that considers the roles of each conditioning component. In addition, a Euclidean distance was measured from each alternative to the ideal best and worst values. The relative closeness value (R<sub>i</sub>) has been used to prepare the landslide susceptibility index by the inverse distance weighting (IDW) interpolation. Furthermore, the precision of the landslide susceptibility was justified by area under curve-receiver operating characteristic (AUC-ROC) which was 0.987. Hence, multi-criteria decision-making (MCDM) techniques like the TOPSIS method are very useful for natural hazard mapping.</div><div><ul><li><span>•</span><span><div>The simplified TOPSIS approach described by Hwang and Yoon (1981) is applied in this study. The criteria have been categorized and assigned weights based on expert judgment and previously published material.</div></span></li><li><span>•</span><span><div>The TOPSIS approach and GIS integration has significantly enhanced the creation of a landslide susceptibility map for a sensitive area.</div></span></li><li><span>•</span><span><div>The method is easiest and suitable for short term operation research.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529067","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

Standardized lab-scale production of the recombinant fusion protein HUG for the nanoscale analysis of bilirubin 用于胆红素纳米级分析的重组融合蛋白 HUG 的标准化实验室规模生产

IF 1.6

MethodsX Pub Date : 2024-10-17 DOI: 10.1016/j.mex.2024.103001

引用次数: 0

Automated prediction of phosphorus concentration in soils using reflectance spectroscopy and machine learning algorithms 利用反射光谱学和机器学习算法自动预测土壤中的磷浓度

IF 1.6

MethodsX Pub Date : 2024-10-15 DOI: 10.1016/j.mex.2024.102996

{"title":"Automated prediction of phosphorus concentration in soils using reflectance spectroscopy and machine learning algorithms","authors":"","doi":"10.1016/j.mex.2024.102996","DOIUrl":"10.1016/j.mex.2024.102996","url":null,"abstract":"<div><div>A method is presented for predicting total phosphorus concentration in soils from Santander de Quilichao, Colombia, using a UV-VIS V-750 Spectrophotometer and machine learning techniques. A total of 152 soil samples, prepared with varying proportions of P<sub>2</sub>O<sub>5</sub> fertilizer and soil, were analyzed, obtaining reflectance spectra in the 200 to 900 nm range with 3501 wavelengths. Additionally, 152 laboratory results of total phosphorus concentration were used to train the prediction model. The spectra were filtered using a Savitzky-Golay filter. Key wavelengths were identified using Variable Importance in Projection - Partial Least Squares (VIP-PLS) and Random Forest (RF), reducing the spectral bands to 1085. Principal Component Analysis (PCA) further reduced data dimensionality. A feedforward artificial neural network was then trained to predict phosphorus concentration. This method is faster than traditional lab tests by leveraging advanced data analysis and machine learning, offering results in less time. While sample preparation remains consistent with standard spectroscopic analysis, the value added by the proposed method lies in its data processing and interpretation. Currently applied to a single soil type, future improvements will include more soil types and other macronutrients, enhancing nutrient management in agriculture. Accurate macronutrient measurements aid in better fertilizer uses planning.</div><div>• Filtering spectra and determining relevant wavelengths using VIP-PLS and RF.</div><div>• Dimensionality reduction with PCA.</div><div>• Training feedforward artificial neural networks.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529065","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 method to improve binary forecast skill verification 改进二进制预报技能验证的方法。

IF 1.6

MethodsX Pub Date : 2024-10-15 DOI: 10.1016/j.mex.2024.103010

{"title":"A method to improve binary forecast skill verification","authors":"","doi":"10.1016/j.mex.2024.103010","DOIUrl":"10.1016/j.mex.2024.103010","url":null,"abstract":"<div><div>To overcome the limitations of existing deterministic binary forecast skill verification methods that award a perfect score for forecasting events considered easy to forecast, an improvement factor is introduced. It comprises two components which are 1) a measure of the ease with which an event can be accurately forecasted and 2) a measure of frequency of event. By using two hypothetical datasets, this study demonstrates that an improvement factor could enhance the performance of existing deterministic binary forecast skill verification methods by awarding score that is close to score for no-skill forecast for the perfect forecasts of events considered easy to forecast. In addition, the forecast and actual data on annual inflation rate are used to demonstrate how an improvement factor could be used together with the existing deterministic binary forecast skill verification methods in order to assess skills of the forecasters in practice.<ul><li><span>•</span><span><div>Existing deterministic binary forecast skill verification methods fail to award correct score for events considered easy to forecast.</div></span></li><li><span>•</span><span><div>An improvement factor is developed in order to enhance performance of existing deterministic binary forecast skill verification methods.</div></span></li><li><span>•</span><span><div>Hypothetical and empirical data are used to validate how an improvement factor works.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142522301","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

Determination of critical energy release rate at the EVA/Si cell interface of a flexible silicon solar cell 测定柔性硅太阳能电池 EVA/Si 电池界面的临界能量释放率。

IF 1.6

MethodsX Pub Date : 2024-10-11 DOI: 10.1016/j.mex.2024.103004

引用次数: 0

Protocol to analyse the structural composition by fluorescence microscopy and different conventional and fluorescence staining methods 利用荧光显微镜和不同的传统及荧光染色方法分析结构组成的规程

IF 1.6

MethodsX Pub Date : 2024-10-10 DOI: 10.1016/j.mex.2024.102999

引用次数: 0

A new methodology for evaluating the neighbor discovery time in schedule-based asynchronous duty-cycling wireless sensor networks 评估基于计划的异步占空比无线传感器网络中邻居发现时间的新方法

IF 1.6

MethodsX Pub Date : 2024-10-10 DOI: 10.1016/j.mex.2024.102967

{"title":"A new methodology for evaluating the neighbor discovery time in schedule-based asynchronous duty-cycling wireless sensor networks","authors":"","doi":"10.1016/j.mex.2024.102967","DOIUrl":"10.1016/j.mex.2024.102967","url":null,"abstract":"<div><div>Duty cycling is a fundamental mechanism for battery-operated wireless networks, such as wireless sensor networks. Due to its importance, it is an integral part of several Medium Access Protocols and related wireless technologies. In Schedule-based Asynchronous Duty Cycle, nodes activate and deactivate their radio interfaces according to a pre-designed schedule of slots, which guarantees overlapping uptime between two neighbors, independent of the offset between their internal clocks, making communication between them possible. This paper presents a new methodology for evaluating the Neighbor Discovery Time (NDT) of Schedule-based Asynchronous Duty Cycle. Differently from previous methodologies, it accounts for the possibility of the slots in the schedules of the two neighbors not being perfectly border-aligned — an unrealistic assumption in practice. By means of simulation, we show that not taking this under consideration can lead to an overestimate of the NDT by a factor of 2 depending on the particular scenario, thus justifying the importance of our work.<ul><li><span>•</span><span><div>We propose a new subslot-based methodology for computing the NDT of a wakeup schedule used for asynchronous duty cycling.</div></span></li><li><span>•</span><span><div>It replaces the traditional slot-based methodology, by dividing slots into subslots, allowing for the analysis of non-integer clock offsets between nodes, and further allowing mathematical models to consider the more realistic continuous-time case.</div></span></li><li><span>•</span><span><div>Our validation data shows that the slot-based methodology may overestimate NDT by a factor of up to 2, making the proposed subslot-based methodology much more precise.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432863","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 secure interoperable method for electronic health records exchange on cross platform blockchain network 跨平台区块链网络电子健康记录交换的安全互操作方法

IF 1.6

MethodsX Pub Date : 2024-10-10 DOI: 10.1016/j.mex.2024.103002

{"title":"A secure interoperable method for electronic health records exchange on cross platform blockchain network","authors":"","doi":"10.1016/j.mex.2024.103002","DOIUrl":"10.1016/j.mex.2024.103002","url":null,"abstract":"<div><div>An Electronic Health Record (EHR) store essential and sensitive patient's medical information. Since health information is highly confidential data, it should be accessible with the consent of the patient. Blockchain based EHR management system offers improvised privacy and patient-centric approach. EHR management systems are available with multiple blockchain platforms. Generally, EHRs are maintained at several independent blockchain platforms. EHR management systems should be capable of securely exchange data on cross platform blockchain network. The interoperability in such blockchain platforms should facilitate seamless cross-chain interaction and information exchange. This article proposes a method that facilitates secure EHR exchange on Ethereum and Hyperledger fabric network using hepatitis dataset. The key contributions of the proposed method include:<ul><li><span>•</span><span><div>Hash lock based interoperable cross-chain method for EHR exchange across Ethereum and Hyperledger fabric.</div></span></li><li><span>•</span><span><div>Additional security to the EHR is ensured by partitioning EHR as on-chain (blockchain platform) and off-chain InterPlanetary File System (IPFS)</div></span></li><li><span>•</span><span><div>Secure Password Authentication-Based Key Exchange (SPAKE) based session management for EHR exchange across two parties.</div></span></li></ul>The proposed patient centric method is validated to ensures the successful exchange of patient EHR across Ethereum and Hyperledger fabric.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446527","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

Urban small-scale hydroponics: A compact, smart home-based hydroponics system 城市小型水栽法：紧凑型智能家庭水培系统

IF 1.6

MethodsX Pub Date : 2024-10-05 DOI: 10.1016/j.mex.2024.102998

引用次数: 0

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