CND and DRIS Methods for Nutritional Diagnosis in ‘Hass’ Avocado Production by Marcelo Almeida de Oliveira Junior, Danilo Eduardo Rozane, Tatiana Cantuarias-Avilés, Simone Rodrigues da Silva

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Effect of Different Cooking Methods on Quality of Salted Egg Yolk by Qianwei CHENG, Xinyue WEI, Shiyan FU, Lina GAN, Qiu ZHONG, Quandan WU, Yuan CHENG

“…In this study, three cooking methods, namely baking, ultrasonic treatment and steam, were employed for cooking salted egg yolk (SEY). …”
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Effects of Different Fixation Methods on the Flavor and Quality of ‘Bainiuzao’ Green Tea by CHEN Shengxiang, XU Zhiying, YANG Xue, ZHANG Haibo, WANG Yun, LI Chunhua, LIU Fei, TANG Xiaobo, ZHANG Ting

“…Relative odor activity value (ROAV) analysis identified trans-linalool oxide, cis-3-hexenyl hexanoate, tert-butanol, linalool, and cis-linalool oxide as the major aroma components across the three fixation methods. Notably, linalool and cis-3-hexenyl hexanoate were likely responsible for the more pronounced chestnut-like aroma in GT and LT compared with GB. …”
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Product Autoregressive Models: Review of Properties, Estimation Methods and Applications by Rahul Thekkedath, Shiji Kavungal, Muhammed Anvar P

“…This paper aims to provide an exhaustive review of theoretical and empirical works conducted on product autoregressive models in the context of non-linear and non-Gaussian time series modelling. The notable properties, estimation methods and applications of these models are discussed followed by a description of some possible future research avenues on this area. …”
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A review of methods and software for polygenic risk score analysis by Sara Benoumhani, Areej Al-Wabil, Niddal Imam, Bashayer Alfawaz, Amaan Zubairi, Dalal Aldossary, Mariam AlEissa

“…A systematic literature review identified 40 relevant articles classified based on PRS methods and software. Key methods for PRS computation, including penalized regression and threshold-based approaches, Bayesian approaches, and machine learning approaches, are discussed, along with notable software and their features. …”
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Applied aspects of modern non-blind image deconvolution methods by O.B. Chaganova, A.S. Grigoryev, D.P. Nikolaev, I.P. Nikolaev

“…The focus of this paper is the study of modern non-blind image deconvolution methods and their application to practical tasks. …”
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Multi-factor evaluation of clustering methods for e-commerce application by Adam Wasilewski, Krzysztof Juszczyszyn, Vera Suryani

“…The results showed consistent outcomes from both analyzed Multi-Criteria Decision Methods, with some notable differences. The methods obtained the same ranking of the top three clustering algorithms (K-median - BIRCH - K-means). …”
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Power Scaling Methods for RF Excitation Fields in MRI Systems by Seon-Eui Hong, Giuseppe Carluccio, Christopher M. Collins, Hyung-Do Choi, Sukhoon Oh

“…In this paper, we analyze the homogeneity of the transmitted radiofrequency (RF) field by applying different power scaling methods ranging from low-field (12.8 MHz, 0.3 T) to high-field (298 MHz, 7.0 T) magnetic resonance imaging (MRI) systems. …”
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Genotyping methods and their contributions to the study of tuberculosis dynamic in Latin America by Yasmin Castillos de Ibrahim das Neves, Ana Julia Reis, Nathália Xavier Maio, Júlia Vianna, João Perdigão, Ivy Bastos Ramis, Pedro Eduardo Almeida da Silva, Andrea von Groll

“…There was a notable presence of the Beijing family in Peru and Colombia. …”
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The UK Biobank mental health enhancement 2022: Methods and results. by Katrina A S Davis, Jonathan R I Coleman, Mark Adams, Gerome Breen, Na Cai, Helena L Davies, Kelly Davies, Alexandru Dregan, Thalia C Eley, Elaine Fox, Jo Holliday, Christopher Hübel, Ann John, Aliyah S Kassam, Matthew J Kempton, William Lee, Danyang Li, Jared Maina, Rose McCabe, Andrew M McIntosh, Sian Oram, Marcus Richards, Megan Skelton, Fenella Starkey, Abigail R Ter Kuile, Laura M Thornton, Rujia Wang, Zhaoying Yu, Johan Zvrskovec, Matthew Hotopf

“…<h4>Background</h4>This paper introduces the UK Biobank (UKB) second mental health questionnaire (MHQ2), describes its design, the respondents and some notable findings. UKB is a large cohort study with over 500,000 volunteer participants aged 40-69 years when recruited in 2006-2010. …”
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Comparison of methods for resolving the contributions of local emissions to measured concentrations by T. D. Edwards, Y. K. Wong, C.-H. Jeong, J. M. Wang, Y. Su, G. J. Evans

“…These methods included time-series and regression methods, including machine learning (XGBoost). …”
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Quality variation analysis and rehydration kinetics modeling of yuba subjecting to three different drying process by Jicai Bi, Junyang Zhang, Zhuo Chen, Yunbo Li, Mohammed Obadi, Wenhao Liu, Renbing Qin, Lingwen Zhang, Hongju He

“…This study provides a valuable reference for yuba's drying methods and rehydration kinetics model.…”
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Preparation Methods, Interactions and Functional Properties of Starch-Macromolecule Complexes: A Review by LAI Haibin, GAO Jing

“…However, different types of starch, the differences in properties among macromolecules and different preparation methods result in notable variations in interaction and functional characteristics among starch-macromolecule complexes. …”
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Method of accelerating deep learning with optimized distributed cache in containers by Kai ZHANG, Yang CHE

“…When using GPU to train deep learning models with large-scale dataset, the data loading and preprocessing stages often decrease overall performance notably.Lots of GPU computing resources are wasted on waiting for loading data from remote storage.Firstly, the methods of accelerating deep learning training with container and distributed cache were introduced.The architecture and initial optimization of such training system, which was implemented with Alluxio and Kubernetes, were introduced as well.Secondly, the task and data co-located scheduling (TDCS) and the colocated scheduling policy were elaborated.Thirdly, TDCS was implemented in Kubernetes cluster, which made the acceleration result more extensible.Finally, the result of training ResNet50 image classification model on 128 NVIDIAV100 GPU devices demonstrates that the proposed methods can bring 2 to 3 times speed up comparing with load data from remote storage directly.…”
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Prediction of Atmospheric Profiles With Machine Learning Using the Signature Method by M. Fujita, N. Sugiura, S. Kouketsu

“…In this paper, the Signature method, which can quantify a profile's curve, was adopted for the atmospheric profiles, and the accuracy of profile representations was investigated. …”
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A Simplified Method for Comprehensive Capture of the Staphylococcus aureus Proteome by Emilee M. Mustor, Jessica Wohlfahrt, Jennifer Guergues, Stanley M. Stevens, Lindsey Neil Shaw

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A multipath error cancellation method based on antenna jitter by Jiyang Liu, Feixue Wang, Xiaomei Tang, Sixin Wang, Muzi Yuan

“…The results indicate that the proposed method enhances robustness and applicability across various environments compared to traditional approaches. …”
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

“…To address this, we introduce C-SHAP (Clustering-Boosted SHAP), a hybrid method that combines SHAP with K-means clustering to reduce execution times significantly while preserving interpretability. …”
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Panoptic Segmentation Method Based on Feature Fusion and Edge Guidance by Lanshi Yang, Shiguo Wang, Shuhua Teng

“…Panoptic segmentation, a pivotal research direction in computer vision, unifies pixel-level object and background recognition within a scene, crucial for applications like autonomous driving. However, existing methods, including State-of-the-Art models like Mask2Former, often exhibit limitations such as inadequate adaptation in multi-scale feature fusion and ambiguous boundary segmentation, particularly for small objects in complex scenes. …”
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A novel method for precise endoscopic sampling of duodenal microbiota by Taotao Wei, Gaozhong Dai, Tianye Liu, Yaozhou Tian

“…Additionally, 16S rRNA sequencing showed significant differences in the taxonomic composition at both the phylum and genus levels among the different sampling methods. Notably, the novel method group (using the channel plug) contained a higher abundance of Veillonella, whereas this genus was less abundant in oral cavity and traditional duodenal samples. …”
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