MethodsX最新文献

{"title":"Comparative Evaluation of Modified Wasserstein GAN-GP and State-of-the-Art GAN Models for Synthesizing Agricultural Weed Images in RGB and Infrared Domain","authors":"Shubham Rana,&nbsp;Matteo Gatti","doi":"10.1016/j.mex.2025.103309","DOIUrl":"10.1016/j.mex.2025.103309","url":null,"abstract":"<div><div>This study investigates the application of modified Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to generate synthetic RGB and infrared (IR) datasets to meet the annotation requirements for wild radish (Raphanus raphanistrum). The RafanoSet dataset was used for evaluation. Traditional WGAN models struggle with vanishing gradients and poor convergence, affecting data quality. Customizations in WGAN-GP improved synthetic image quality, especially in maintaining SSIM for RGB datasets. However, generating high-quality IR images remains challenging due to spectral complexities, with lower SSIM scores. Architectural enhancements including transposed convolutions, dropout, and selective batch normalization improved SSIM scores from 0.5364 to 0.6615 for RGB and from 0.3306 to 0.4154 for IR images. This study highlights the customized model's key features:<ul><li><span>•</span><span><div>Produces a 128 × 7 × 7 tensor, optimizes feature map size for subsequent layers, with two layers using 4 × 4 kernels and 128 and 64 filters for upsampling.</div></span></li><li><span>•</span><span><div>Uses 3 × 3 kernels in all convolutional layers to capture fine-grained spatial features, incorporates batch normalization for training stability, and applies dropout to reduce overfitting and improve generalization.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103309"},"PeriodicalIF":1.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced electrocardiogram classification using Gramian angular field transformation with multi-lead analysis and segmentation techniques","authors":"Gi-Won Yoon,&nbsp;Segyeong Joo","doi":"10.1016/j.mex.2025.103297","DOIUrl":"10.1016/j.mex.2025.103297","url":null,"abstract":"<div><div>Conventional manual or feature-based ECG analysis methods are limited by time inefficiencies and human error. This study explores the potential of transforming 1D signals into 2D Gramian Angular Field (GAF) images for improved classification of four ECG categories: Atrial Fibrillation (AFib), Left Ventricular Hypertrophy (LVH), Right Ventricular Hypertrophy (RVH), and Normal ECG.<ul><li><span>•</span><span><div>The study employed GAF transformations to convert 1D ECG signals into 2D representations at three resolutions: 5000 × 5000, 512 × 512, and 256 × 256 pixels.</div></span></li><li><span>•</span><span><div>Segmentation methods were applied to enhance feature localization.</div></span></li><li><span>•</span><span><div>The ConvNext deep learning model, optimized for image classification, was used to evaluate the transformed ECG images, with performance assessed through accuracy, precision, recall, and F1-score metrics.</div></span></li></ul>The 512 × 512 resolution achieved the optimal balance between computational efficiency and accuracy. F1-score for AFib, LVH, RVH and Normal ECG were 0.781, 0.71, 0.521 and 0.792 respectively. Segmentation methods improved classification performance, especially in detecting conditions like LVH and RVH. The 5000 × 5000 resolution offered the highest accuracy but was computationally intensive, whereas the 256 × 256 resolution showed reduced accuracy due to loss details.</div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103297"},"PeriodicalIF":1.6,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart home","authors":"Preethi ,&nbsp;Mohammed Mujeer Ulla ,&nbsp;Sapna R ,&nbsp;Raghavendra M Devadas","doi":"10.1016/j.mex.2025.103305","DOIUrl":"10.1016/j.mex.2025.103305","url":null,"abstract":"<div><div>Over the last few years, the conceptualization of Smart Home has received acceptance. The extensive issues regarding a smart home include offloading computational tasks, data security aspects, privacy issues, authentication of Internet of Things (IoT) devices, and so on. Presently, existing smart home automation addresses either of these issues, nevertheless, Smart Home automation that also necessitates decision-making for offloading computational tasks with improved QoS (i.e., latency and throughput) and systematic features apart from being reliable and safe is a definite necessity. To address these gaps in this, work a QoS-improved method called, Blockchain-modeled Swarm Optimized Lyapunov Smart Contract Deep Reinforced Tasks Offloading (BSOLSC-DRTO) in smart home is proposed. The BSOLSC-DRTO method is split into two sections, namely, Offloading Computational Tasks based on the Particle Swarm Optimized Lyapunov model and Temporal Difference Deep Reinforced Secured Offloading. First to solve the offloading issue and therefore improve the QoS, we developed a Particle Swarm Optimized Lyapunov model using a Lyapunov optimization function. This optimization problem aims to minimize latency and improve throughput considerably. Second, to boost the offloading security, we propose a trustworthy access control using the Temporal Difference Deep Reinforced Secured Offloading model that can safeguard devices against illegal offloading. Then to handle the computation management for addressing the offloading decisions in the queue temporal difference function is applied, therefore improving the smart contract accuracy and precision involved in offloading computational tasks. Evaluation results from experiments and numerical simulations exhibit the notable advantages of the proposed BSOLSC-DRTO method over existing methods.<ul><li><span>•</span><span><div>Develop a Particle Swarm Optimized Lyapunov model to minimize latency and significantly improve throughput.</div></span></li><li><span>•</span><span><div>Proposed a Temporal Difference Deep Reinforced Secured Offloading model for trustworthy access control, protecting devices against illegal offloading<em>.</em></div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103305"},"PeriodicalIF":1.6,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression","authors":"Sára Preiner,&nbsp;Bálint Levente Tarcsay,&nbsp;Dóra Pethő,&nbsp;Norbert Miskolczi","doi":"10.1016/j.mex.2025.103304","DOIUrl":"10.1016/j.mex.2025.103304","url":null,"abstract":"<div><div>The aim of our work was to estimate the composition of hydrosol produced as a byproduct of lavender steam distillation using UV–Vis spectrophotometry in the 200–600 nm wavelength range through a machine learning algorithm. The dissolved components of lavender essential oil (EO) from lavender hydrosol samples were extracted via liquid-liquid extraction, using three different solvents (pentane, heptane and diethyl ether). The UV–Vis absorbance spectra of the extracts were recorded and the composition analyzed using GC–MS. The composition data obtained allowed for the calculation of changes within the quantities of different EO components in the samples.</div><div>The partial least squares regression technique (PLS) was utilized to establish a connection between changes in the composition of the hydrosol and the changes in the UV–Vis spectra. After optimization the established PLS model showed an <span><math><msup><mi>R</mi><mn>2</mn></msup></math></span> score above 0.95 for the prediction of hydrosol composition changes during cross-validation. The model can thus be utilized as a soft sensor to infer extracted mass of EO components and characterize the composition of hydrosol during the process directly from UV–Vis spectra.<ul><li><span>•</span><span><div>Investigation of lavender water and extract using UV–Vis spectrophotometry</div></span></li><li><span>•</span><span><div>GC–MS analysis of extracts</div></span></li><li><span>•</span><span><div>PLS model development for composition estimation based on spectra</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103304"},"PeriodicalIF":1.6,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Persistent free radicals in leaves as a stable standard for quantifying free radicals","authors":"Eric P. Vejerano,&nbsp;Khushboo Khushboo,&nbsp;Juan Vejerano","doi":"10.1016/j.mex.2025.103302","DOIUrl":"10.1016/j.mex.2025.103302","url":null,"abstract":"<div><div>This study explored plant‐derived biogenic persistent free radicals (BPFRs) in crape myrtle leaves as an alternative standard to 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) for quantifying organic radicals. Conventional methods rely on DPPH as a standard but are prone to degradation due to light, temperature, and humidity fluctuations. We performed electron spin resonance (ESR) measurements on both DPPH and leaf samples at various masses, temperatures (22 °C and 35 °C), and relative humidity (∼100 % RH) to evaluate radical stability. We observed consistent linear responses with increasing sample mass for crape myrtle leaves, similar to the behavior of DPPH. However, the BPFRs remained more stable under high temperature and humidity over seven days, retaining most of their radical signals compared to DPPH. The g‐factor of crape myrtle leaves remained nearly constant, indicating no significant alteration in the paramagnetic center. The peak‐to‐peak linewidth varied slightly, reflecting minor environmental and sample preparation differences. These findings suggest that BPFRs in plant tissue are more robust standards. Implementing leaf‐derived radicals as calibration references may enhance reproducibility in free radical quantification, reduce artifacts from DPPH degradation, and support broader environmental or biological applications.<ul><li><span>•</span><span><div>BPFRs in crape myrtle leaves exhibited excellent stability under elevated temperatures and humidity compared to DPPH, maintaining their radical signals over seven days.</div></span></li><li><span>•</span><span><div>BPFRs demonstrated a consistent linear response with increasing sample mass, similar to DPPH, making them a viable alternative for free radical quantification.</div></span></li><li><span>•</span><span><div>Using leaf-derived radicals as calibration standards may enhance reproducibility in free radical quantification and mitigate artifacts from the degradation of DPPH.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103302"},"PeriodicalIF":1.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785344","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}

{"title":"A design science approach to mixed-methods evaluation in serious game research","authors":"Luis Demetrio Gómez García,&nbsp;Gloria María Zambrano Aranda,&nbsp;Emerson Jesus Toledo Concha","doi":"10.1016/j.mex.2025.103299","DOIUrl":"10.1016/j.mex.2025.103299","url":null,"abstract":"<div><div>For a serious game to be effective, it must undergo rigorous validation process. A Design Science approach advocates the use of quantitative or qualitative research methodologies within the creation and validation of artifacts, an approach suitable for evaluating serious games as educational tools.</div><div>This study presents a methodological framework that integrates quantitative measurement and qualitative inquiry to assess the effectiveness of a serious game designed for ethics education. We provide access to the quantitative questionnaire, its codebook, and the dataset generated during the validation of the authors’ approach using a serious game for teaching business ethics.</div><div>The integration of both methods allowed us to validate the game as a relevant and effective strategy for promoting ethical reflection among university students. These findings support the consistency and reliability of the method used for validating serious games.</div><div>Methodological Highlights<ul><li><span>•</span><span><div>The quantitative assessment is based on the Technology Acceptance Model III (TAM III) and the Theory of Planned Behavior (TPB).</div></span></li><li><span>•</span><span><div>Qualitative inquiry analyzes students’ group work to understand their perceptions of ethical phenomena after gameplay.</div></span></li><li><span>•</span><span><div>Professors can use insights from students' perceptions as a starting point or framework for takeaways in future game applications.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103299"},"PeriodicalIF":1.6,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783147","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}

{"title":"Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis","authors":"Govindharaj I ,&nbsp;Ramesh T ,&nbsp;Poongodai A ,&nbsp;Senthilkumar K. P ,&nbsp;Udayasankaran P ,&nbsp;Ravichandran S","doi":"10.1016/j.mex.2025.103285","DOIUrl":"10.1016/j.mex.2025.103285","url":null,"abstract":"<div><div>The worldwide prevalence of glaucoma makes it a major reason for blindness thus proper early diagnosis remains essential for preventing major vision deterioration. Current glaucoma screening methods that need expert handling prove to be time-intensive and complicated before yielding appropriate diagnosis and treatment. Our system addresses these difficulties through an automated glaucoma screening platform which combines advanced segmentation methods with classification approaches. A hybrid segmentation method combines Grey Wolf Optimization Algorithm with U-Shaped Networks to obtain precise extraction of the optic disc regions in retinal fundus images. Through GWOA the network achieves optimal segmentation by adopting wolf-inspired behaviors such as circular and jumping movements to identify diverse image textures. The glaucoma classification depends on CapsNet as a deep learning model that provides exceptional image detection to ensure precise diagnosis. The combination of our method delivers 96.01 % segmentation together with classification precision which outstrips traditional approaches while indicating strong capabilities for discovering glaucoma at early stages. This automated diagnosis system elevates clinical accuracy levels through an automated screening method that solves manual process limitations. The detection framework produces better accuracy to improve clinical results in a strong effort to minimize glaucoma-induced blindness worldwide and display its capabilities in real clinical environments.<ul><li><span>•</span><span><div>Hybrid GWOA-UNet++ for precise optic disc segmentation.</div></span></li><li><span>•</span><span><div>CapsNet-based classification for robust glaucoma detection.</div></span></li><li><span>•</span><span><div>Achieved 96.01 % accuracy, surpassing existing methods.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103285"},"PeriodicalIF":1.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746798","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}

{"title":"Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications","authors":"Parul Dubey ,&nbsp;Vinay Keswani ,&nbsp;Pushkar Dubey ,&nbsp;Gunjan Keswani ,&nbsp;Dhananjay Bhagat","doi":"10.1016/j.mex.2025.103291","DOIUrl":"10.1016/j.mex.2025.103291","url":null,"abstract":"<div><div>The integration of IoT and deep learning has revolutionized real-time monitoring systems, particularly in public health applications such as face mask detection. With increasing public reliance on these technologies, robust and efficient frameworks are critical for ensuring compliance with health measures. Existing models, on the other hand, often have problems, such as being slow to compute, not being able to work well in a wide range of environments, and not being able to adapt well to IoT devices with limited resources. These shortcomings highlight the need for an optimized and scalable solution. To address these issues, this study utilizes three datasets: the Kaggle Face Mask Dataset, the Public Places Dataset, and the Public Videos Dataset, encompassing varied environmental conditions and use cases. The proposed framework integrates ResNet50 and MobileNetV2 architectures, optimized using the Adaptive Flame-Sailfish Optimization (AFSO) algorithm. This hybrid approach enhances detection accuracy and computational efficiency, making it suitable for real-time deployment. The novelty of the paper lies in combining AFSO with a hybrid deep learning architecture for parameter optimization and improved scalability. Performance metrics such as accuracy, sensitivity, precision, and F1-score were used to evaluate the model. The proposed framework achieved an accuracy of 97.8 % on the Kaggle dataset, significantly outperforming baseline models and demonstrating its robustness and efficiency for IoT-enabled face mask detection systems.<ul><li><span>•</span><span><div>The article introduces a novel hybrid framework that combines ResNet50 and MobileNetV2 architectures optimized with Adaptive Flame-Sailfish Optimization (AFSO).</div></span></li><li><span>•</span><span><div>The system demonstrates superior performance, achieving 97.8 % accuracy on the Kaggle dataset, with improved efficiency for IoT-based real-time applications.</div></span></li><li><span>•</span><span><div>Validates the framework's robustness and scalability across diverse datasets, addressing computational and environmental challenges.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103291"},"PeriodicalIF":1.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759740","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}

{"title":"Simplified synthesis of oxidized phospholipids on alkyl-amide scaffold","authors":"Olga V. Oskolkova ,&nbsp;Bernd Gesslbauer ,&nbsp;Valery Bochkov","doi":"10.1016/j.mex.2025.103288","DOIUrl":"10.1016/j.mex.2025.103288","url":null,"abstract":"<div><div>Oxidized phospholipids (OxPLs), containing oxidized fatty acids (oxylipins), play a significant role in various diseases. However, studying the structure-activity relationships of OxPLs and their signaling mechanisms is challenging due to the complexity of the chemical synthesis of structurally distinct lipid species. In this study, we aimed to develop a method for attaching free oxylipins to a lysophospholipid to form OxPLs. We hypothesized that oxylipins could be conjugated to PLs <em>via</em> a known chemical reaction between activated esters of carboxylic acids and amino groups. The carboxyl groups of oxylipins were activated using N-hydroxysuccinimide and a coupling reagent, then conjugated to a lyso-phosphatidylcholine containing NH₂-groupd at <em>sn</em>-2 position, forming amide bonds. All reactions were performed under mild conditions and demonstrated high yields. To prevent acyl migration, the <em>sn</em>-1 position of PLs was modified with an alkyl residue linked <em>via</em> an ether bond. Several oxylipin-containing PLs were successfully synthesized, isolated, and characterized. The anti-TLR4 and endothelial barrier-protective activities of these alkyl-amide OxPLs were found to be equivalent to diacyl-OxPLs. This method enables efficient synthesis of modified OxPLs for biological testing. The combination of ether and amide bonds enhances biological stability and simplifies effect analysis.<ul><li><span>•</span><span><div>The method describes the preparation of a single precursor for multiple choline PLs, specifically 2-deoxy-2-amino-1-lyso-<em>sn</em>-3-glycerophosphocholine, followed by the attachment of oxylipins to it.</div></span></li><li><span>•</span><span><div>No protection-deprotection steps are needed for oxylipins for the synthesis of phosphatidylcholines.</div></span></li><li><span>•</span><span><div>Isolation of compounds is performed using fast liquid-liquid and solid-phase extractions.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103288"},"PeriodicalIF":1.6,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734626","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}

{"title":"Improved Setup for Decolourization Experiments with Granular and Powdered Adsorbent Materials Using UV-VIS Flow-through Cells","authors":"Martin Behringer ,&nbsp;Harald Hilbig ,&nbsp;Brigitte Helmreich ,&nbsp;Alisa Machner","doi":"10.1016/j.mex.2025.103289","DOIUrl":"10.1016/j.mex.2025.103289","url":null,"abstract":"<div><div>Textile wastewater treatment poses global challenges due to complex and costly processes, particularly in the adsorption-based decolourization step. Existing experimental methodologies for adsorption suffer from inconsistencies, hindering comparability across studies. To address this, we developed a universal setup integrating conventional adsorption methods with pharmaceutical dissolution techniques. This approach provides continuous UV-VIS monitoring of adsorption processes without external filtration, which is suitable for both fine powders (∼microns) and granular particles (∼millimetres) and is applicable to both natural and synthetic adsorbents. Case studies conducted with powdered and granular adsorbents confirmed this method's robustness, reproducibility, and enhanced accuracy, allowing real-time, precise monitoring. Overall, this versatile approach significantly improves reliability in adsorption experiments, offering a broadly applicable solution for adsorption monitoring in wastewater treatment research.<ul><li><span>•</span><span><div>A versatile setup combining adsorption methods with flow-through UV-VIS spectrometry.</div></span></li><li><span>•</span><span><div>Enables continuous monitoring of decolourization without the need for external filtration.</div></span></li><li><span>•</span><span><div>Applicable to a wide range of adsorbent materials, from fine powders to granulates.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103289"},"PeriodicalIF":1.6,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734551","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}