工业工程最新文献

{"title":"[Treatment Couch Path Planning for Proton Therapy Systems].","authors":"Rong Xie, Jianchun Deng, Hai Ma, Zhiyong Yang","doi":"10.12455/j.issn.1671-7104.240122","DOIUrl":"https://doi.org/10.12455/j.issn.1671-7104.240122","url":null,"abstract":"<p><p>In the treatment process of proton radiation therapy, the patient needs to be positioned and immobilized before being moved into the treatment position. In this study, the patient was primarily positioned using the 6R robotic treatment couch as the patient support system (PSS). A simplified three-dimensional model of the treatment room was developed based on the relative motion within the treatment room. The forward and inverse kinematics of the 6R robotic treatment couch were analyzed using an improved Denavit-Hartenberg (D-H) representation. A collision interference model was created based on the actual treatment process. The motion path of the treatment couch was planned and simulated in MATLAB using an improved artificial potential field method for obstacle avoidance. The results indicate that the robotic treatment couch can smoothly navigate around obstacles to reach the target point, satisfying the positioning requirements for proton therapy.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":"48 6","pages":"595-602"},"PeriodicalIF":0.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787764","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":"Improvement of a pendulum-type apparatus for friction test of a contact lens to simulate the conditions of its actual usage","authors":"Ryusuke Nakaoka,&nbsp;Hiroko Iwashita,&nbsp;Yuichi Hori,&nbsp;Kiyoshi Mabuchi,&nbsp;Toru Matsunaga,&nbsp;Yuji Haishima,&nbsp;Eiichi Yamamoto","doi":"10.1049/bsb2.12086","DOIUrl":"https://doi.org/10.1049/bsb2.12086","url":null,"abstract":"<p>Friction between the contact lens (CL) and the corneal or conjunctival surfaces is considered one of key factors in triggering CL-associated adverse effects. However, the relationship between friction properties and these effects remains unclear. Traditional measurement methods often fail to replicate real-life conditions, thereby highlighting the need for more effective apparatus. In this study, the authors developed an optimised pendulum apparatus integrated with an inclinometer to enhance the measurement of CL friction coefficients, thereby improving its precision and relevance to clinical settings. This new design allows for faster and easier calculation of the friction coefficient based on the amplitude decay per libration cycle, surpassing the accuracy of previous video-based methods. The pendulum's hemisphere component was made from ethylene–propylene–diene monomer rubber (EPDM) 30, which has an elastic modulus similar to that of a human eyeball, creating a measurement environment that closely mimics real-world usage. The authors optimised the apparatus by evaluating the effects of hemisphere stiffness and saline volume on the friction coefficient. Measurements of multiple lenses recorded by the authors, particularly Lens A, made of narafilcon A, revealed significant consistency across different hemisphere materials with an optimal saline volume of 150 μL yielding a friction coefficient of 0.026 ± 0.003. No statistically significant differences in the friction coefficients were found across variations in the lens base curve, diameter, centre thickness, or power. This improved apparatus demonstrates the capability of effectively measuring friction coefficients under conditions that simulate clinical usage, providing rapid and reliable results. The findings validate the apparatus and suggest its potential for broader applications in assessing CL properties, thereby facilitating future research on the material characteristics and safety of various CLs, including decorative lenses.</p>","PeriodicalId":52235,"journal":{"name":"Biosurface and Biotribology","volume":"10 4","pages":"167-175"},"PeriodicalIF":1.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/bsb2.12086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862184","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":"Application of Multi-Model Adaptive Statistical Iterative Reconstruction-Veo in Ultra-Low Dose Chest CT Examination of Children in Plateau Area.","authors":"Xian-Tao Wang, Rui-Ting Bai, Cidanwangjiu, Suolangnima, Nimazhuoga, Bai-Yan Su","doi":"10.3881/j.issn.1000-503X.16068","DOIUrl":"https://doi.org/10.3881/j.issn.1000-503X.16068","url":null,"abstract":"<p><p>Objective To explore the application value of multi-model adaptive statistical iterative reconstruction-Veo (ASiR-V) in ultra-low dose chest CT examination of children in the plateau area. Methods The children who underwent chest CT examination in Xizang Autonomous Region People's Hospital were enrolled in this study and assigned into two groups according to the scanning conditions.Group A underwent scanning at a tube voltage of 100 kV and ASiR-V 50% reconstruction,and group B underwent scanning at a tube voltage of 80 kV and ASiR-V 0 (Group B1) and ASiR-V 50% (Group B2) reconstruction.The image quality of each group was evaluated objectively and subjectively.The radiation dose and image quality were compared between groups. Results Groups A and B showed the volume CT dose indexes of (2.33±0.62) mGy and (0.86±0.01) mGy and the dose length products of (65.01±25.12) mGy·cm and (23.55±3.38) mGy·cm,respectively,which presented differences between groups (both P<0.001).The image noise in the bilateral upper and middle lung areas in group B2 was lower than that in group B1 but higher than that in group A (all P<0.001).There was no significant difference in image quality score of the lung window among groups (all P>0.05).Groups A,B1,and B2 had no significant differences in ascending aorta (P=0.538) or liver CT value (P=0.175) in the mediastinal window.The signal-to-noise ratios and contrast-to-noise ratios of ascending aorta and liver in group B2 were higher than those in group B1 (all P<0.001) and lower than those in group A (all P<0.05).The image quality score of the mediastinal window followed a descending order of group A>group B2>group B1 (all P<0.001). Conclusion ASiR-V combined with low tube voltage can effectively reduce the radiation dose and guarantee the image quality of chest CT of children in the plateau area.</p>","PeriodicalId":6919,"journal":{"name":"中国医学科学院学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714951","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":"Effects of exposure to micro/nanoplastics of polystyrene on neuronal oxidative stress, neuroinflammation, and anxiety-like behavior in mice: A Systematic Review","authors":"Lafram Asmaa ,&nbsp;Krami Al Mehdi ,&nbsp;Akarid Khadija ,&nbsp;Laadraoui Jawad ,&nbsp;Roky Rachida","doi":"10.1016/j.emcon.2024.100442","DOIUrl":"10.1016/j.emcon.2024.100442","url":null,"abstract":"<div><div>Polystyrene is a polymer widely used across various industrial and commercial sectors. Upon degradation, it fragments into microplastics (MP) and nanoplastics (NP), whose accumulation in the environment raises significant ecological and health concerns. These particles can disrupt digestive, reproductive, and other functions in exposed organisms. In this systematic review, the effects of mice exposure to PS-NP or PS-MP (PS-MP/NP) were systematically examined, focusing on neuronal oxidative stress, neuroinflammation, and anxiety-like behavior. Three databases (PubMed, Web of Science, and Scopus) were searched without any time filters until July 20, 2024. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Two independent reviewers assessed the quality of studies using the Systematic Review Centre for Laboratory Animal Experimentation tool (SYRCLE). A total of 24 original articles were included of 332 citations. Articles were published between 2021 and 2024. Out of the studies reviewed, 12 used PS-NP, 10 used PS-MP, and two used both PS-NP and PS-MP separately. The particle sizes ranged from 0.023 to 50 μm, with the majority exhibiting a spherical shape. Seven studies reported results that the exposure to PS-MP/NP elevated reactive oxygen species (ROS) levels, and/or increased lipid peroxidation-Malondialdehyde (LPO-MDA), and/or decreased antioxidants, especially superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH). Eight studies demonstrated an increase in neuroinflammation markers, including TNF-α, IL-1β, IL-6, GFAP, and Iba1. Regarding anxiety-like behavior, 10 studies confirmed its induction. Furthermore, maternal exposure induced neurotoxic responses in offspring. Overall, exposure to PS-MP/NP induced oxidative stress, neuroinflammation, and anxiety-like behavior in mice. These results highlighted complex interactions between PS-MP/NP and the nervous system, emphasizing the need for a more thorough exploration of involved mechanisms.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 1","pages":"Article 100442"},"PeriodicalIF":5.3,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental occurrence of antibiotic resistance, control measures and challenges in finding therapeutic management","authors":"Rajendra Singh,&nbsp;Keugtae Kim","doi":"10.1016/j.emcon.2024.100440","DOIUrl":"10.1016/j.emcon.2024.100440","url":null,"abstract":"<div><div>Antimicrobial resistance represents a growing threat to public health, with the World Health Organization placing it among the top ten global health threats. Inappropriate use of antibiotics in healthcare and agriculture contributes to their dispersal into the environment, thereby accelerating bacterial resistance through the transfer of genetic elements and antibiotic resistance genes. The widespread prevalence of antibiotic-resistance genes and bacteria has been confirmed in both soil and water across various climates. Additionally, the detection of these resistant genes and bacteria in polar regions is particularly alarming due to their potential to spread and persist in pristine environments. The impact of antibiotic resistance is considerable, and addressing the associated challenges necessitates a collaborative effort involving healthcare professionals, government entities, scientists, and the general public. Most of the recent scholarly reviews regarding antibiotic resistance predominantly concentrate on either the overarching concept of antimicrobial resistance or they delve into particular sources, pathways, or environmental ramifications. In contrast, this extensive state-of-the-art review aspires to furnish an updated synthesis of the distribution of antibiotic resistance, its repercussions on human health and economy, as well as innovative therapeutic strategies that exhibit potential in combating antibiotic-resistant bacteria. Furthermore, it scrutinizes the challenges that impede the progression of novel therapeutic modalities and the implementation of effective control strategies. The investigation provides a comprehensive overview of the classifications of antibiotic resistance genes, systematically organized by antibiotic categories. Additionally, it underscores global management strategies, particularly through stewardship programs, promising combination therapies aimed at augmenting drug efficacy, and alternative methodologies to antibiotics for the treatment of bacterial infections.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 1","pages":"Article 100440"},"PeriodicalIF":5.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive review of cellulose nanomaterials for adsorption of wastewater pollutants: focus on dye and heavy metal Cr adsorption and oil/water separation","authors":"Yadong Yang,&nbsp;Xuanze Li,&nbsp;Caichao Wan,&nbsp;Zhe Zhang,&nbsp;Wenzhe Cao,&nbsp;Guanyu Wang,&nbsp;Yiqiang Wu","doi":"10.1186/s42825-024-00179-1","DOIUrl":"10.1186/s42825-024-00179-1","url":null,"abstract":"<div><p>Cellulose is widely distributed in higher plants and constitutes the most abundant natural biopolymer on Earth. Nanocellulose is a cellulose material with nanoscale dimensions, obtained through special processing and treatment. Up to now, nanocellulose has been widely investigated as a biosorbent to absorb various types of pollutants in wastewater due to its excellent properties, such as large specific surface area, antifouling behaviour, high aspect ratio, high heat resistance, excellent mechanical properties, biodegradability and biocompatibility. In addition, nanocellulose can be rationally structured by different recombination techniques such as membranes, sponges, aerogels, hydrogels and microspheres and provide specialised functionality for the adsorption of various types of pollutants from wastewater. This review introduces the basic properties, classification and modification methods of nanocellulose; discusses the preparation strategies of nanocellulose-based recombinant materials (including vacuum/pressurised filtration, sol–gel and electrospinning); reviews research progress in the adsorption of organic dyes and heavy metal Cr, as well as the separation of oil/water using nanocellulose-based recombinant materials; and explores the potential of nanocellulose in treating tannery wastewater. Finally, the problems faced by nanocellulose-based recombinant materials and future prospects are presented.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":640,"journal":{"name":"Journal of Leather Science and Engineering","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://JLSE.SpringerOpen.com/counter/pdf/10.1186/s42825-024-00179-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672400","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":"Northern fur seal whisker bioaccumulation and partitioning of polybrominated diphenyl ethers and organochlorines","authors":"Courtney M. White ,&nbsp;Dimitrios G. Giarikos ,&nbsp;Amy C. Hirons","doi":"10.1016/j.emcon.2024.100439","DOIUrl":"10.1016/j.emcon.2024.100439","url":null,"abstract":"<div><div>The eastern Pacific stock of northern fur seals (<em>Callorhinus ursinus</em>) on the Pribilof Islands, Alaska represents over 50 % of the global breeding population, but it has experienced population declines of unknown cause(s) since 1980. One contributing factor to the decline may be exposure to anthropogenic contaminants such as persistent organic pollutants (POPs) which are biologically accumulative in nature, toxic to organisms, and environmentally persistent. This study conducted a decadal comparison of 21 organochlorine (OC) and 39 polybrominated diphenyl ether (PBDE) analyte concentrations utilizing archived vibrissae (whiskers) from individual fur seals sampled in 1993 (n = 30) and 2013 (n = 41) during subsistence harvests on the Pribilof Islands. The recently phased out PBDEs had values five times greater than the legacy status OCs, reflecting both the global shift away from chlorinated chemicals over the past 50 years and the widespread use of brominated flame retardants within the past two decades. No significant mean concentration differences were detected between 1993 and 2013 for total organochlorines (ΣOCs) (266 and 294 ng/g, respectively), or total polybrominated diphenyl ethers (ΣPBDEs) (1377 and 1521 ng/g, respectively), indicating the enduring environmental presence of these pollutants. Recently phased out PBDEs were detected at five times greater concentrations than phased out OCs. The presence of all analytes in vibrissae indicate that there is an adaptive advantage to partitioning contaminants into this inert tissue, suggesting keratinous tissue is a reliable matrix for assessing long-term for POP exposure and introducing the potential for less invasive sampling for future monitoring efforts.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 1","pages":"Article 100439"},"PeriodicalIF":5.3,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between per- and polyfluoroalkyl substances and menstrual cycle regularity in reproductive-aged female: A cross-sectional study","authors":"Aiqin Qiu ,&nbsp;Kai Luo ,&nbsp;Huan Liu ,&nbsp;Jialing Huang ,&nbsp;Xiaotu Liu ,&nbsp;Jun Zhang ,&nbsp;Da Chen ,&nbsp;Weiwei Cheng ,&nbsp;Wei Huang","doi":"10.1016/j.emcon.2024.100438","DOIUrl":"10.1016/j.emcon.2024.100438","url":null,"abstract":"<div><div>Menstrual cycle characteristics constitute one of the significant female fertility indicators. Previous epidemiological studies have shown that exposure to environmental chemicals could affect menstrual cycle characteristics, but the knowledge remains limited overall. Per- and polyfluoroalkyl substances (PFAS) have been identified as potential reproductive toxicants, while previous studies mainly focused on several legacy PFAS chemicals but generally failed to explore the outcomes from exposure to a complex mixture of both legacy and emerging PFAS. Besides, the modification effect of physical activity is rarely considered. In the present study, we explored the associations of exposure to a suite of legacy and emerging PFAS and menstrual cycle regularity as well as the potential modification by physical activity based on a pre-conception cohort in Shanghai (China) with the participation of 1001 reproductive-aged women. A total of 20 PFAS chemicals with detection frequency &gt;80 %, which were derived from the PFAS exposure profile of the same population in our previous study, were included in the confounder-adjusted logistic regression and Bayesian kernel machine regression (BKMR) analysis. In individual PFAS analysis, after adjustment of the covariates, ∑2m-PFOS (the sum of all perfluoro-dimethylhexane sulfonates) was significantly associated with menstrual cycle irregularity with an odds ratio (OR) of 1.35 (95 % confidence interval, CI: 1.09, 1.67) as well as long cycles (OR = 1.37; 95 % CI: 1.08, 1.70). In addition, a significant positive association was also found between perfluoro-n-nonanoic acid (PFNA) and long cycles (OR = 1.40; 95 % CI: 1.06, 1.86). No significant associations were found between the PFAS mixture and the menstrual cycle characteristics as revealed by BKMR analysis, while the significant association between ∑2m-PFOS and menstrual cycle irregularity was also observed in the mixture exposure model. Subgroup analysis stratified by physical activity level showed that the associations between ∑2m-PFOS and menstrual cycle irregularity as well as long cycles were more pronounced in the inactive physical activity subgroup. This study suggested that branched PFOS (i.e., ∑2m-PFOS) might act as the predominant risk factor for menstrual cycle irregularity, and physical activity could influence the risks.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 1","pages":"Article 100438"},"PeriodicalIF":5.3,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression","authors":"Chaitanya Pallerla ,&nbsp;Yihong Feng ,&nbsp;Casey M. Owens ,&nbsp;Ramesh Bahadur Bist ,&nbsp;Siavash Mahmoudi ,&nbsp;Pouya Sohrabipour ,&nbsp;Amirreza Davar ,&nbsp;Dongyi Wang","doi":"10.1016/j.aiia.2024.11.003","DOIUrl":"10.1016/j.aiia.2024.11.003","url":null,"abstract":"<div><div>Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years, the global poultry industry has faced a challenging problem in the form of woody breast (WB) conditions. This condition has caused significant economic losses as high as $200 million annually, and the root cause of WB has yet to be identified. Human palpation is the most common method of distinguishing a WB from others. However, this method is time-consuming and subjective. Hyperspectral imaging (HSI) combined with machine learning algorithms can evaluate the WB conditions of fillets in a non-invasive, objective, and high-throughput manner. In this study, 250 raw chicken breast fillet samples (normal, mild, severe) were taken, and spatially heterogeneous hardness distribution was first considered when designing HSI processing models. The study not only classified the WB levels from HSI but also built a regression model to correlate the spectral information with sample hardness data. To achieve a satisfactory classification and regression model, a neural network architecture search (NAS) enabled a wide-deep neural network model named NAS-WD, which was developed. In NAS-WD, NAS was first used to automatically optimize the network architecture and hyperparameters. The classification results show that NAS-WD can classify the three WB levels with an overall accuracy of 95 %, outperforming the traditional machine learning model, and the regression correlation between the spectral data and hardness was 0.75, which performs significantly better than traditional regression models.</div></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"14 ","pages":"Pages 73-85"},"PeriodicalIF":8.2,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699967","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":"Utility-based regression and meta-learning techniques for modeling actual ET: Comparison to (METRIC-EEFLUX) model","authors":"Fatima K. Abu Salem ,&nbsp;Sara Awad ,&nbsp;Yasmine Hamdar ,&nbsp;Samer Kharroubi ,&nbsp;Hadi Jaafar","doi":"10.1016/j.aiia.2024.11.001","DOIUrl":"10.1016/j.aiia.2024.11.001","url":null,"abstract":"<div><div>Estimating actual evapotranspiration (ETₐ) is crucial for water resource management, yet existing methods face limitations. Traditional approaches, including eddy covariance and remote sensing-based energy balance methods, often struggle with high costs, limited spatial and temporal coverage, and reduced predictive accuracy, particularly for classical empirical models. While machine learning has emerged as a promising alternative, it still presents challenges, notably in underestimating ETₐ during periods of high heat. We attribute this to insufficient learning on the rare but highly relevant ETₐ values of interest, or the not-so-big climatic datasets available for use. In this manuscript, we demonstrate how <em>few-shot, meta-learning models (MAML)</em> that are specifically designed for enhanced generalizability on not-so-big datasets can outperform basic machine learning models in upscaling ETₐ from two major in-situ towers, the Ameriflux and Euroflux. Using limited remotely sensed land surface data from the METRIC-EEFlux and limited climatic variables, we demonstrate that the chosen models can attain quantifiable utility within the <em>utility-based-regression</em> paradigm towards impactful practical considerations. Our initial explorations reveal that EEflux ETₐ deviates significantly from in-situ observations measured through the Ameriflux and EEflux towers (<span><math><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>39</mn><mo>%</mo></math></span>). Instead, MAML shows best performance in approximating ETₐ than basic machine learning algorithms and EEFlux (<span><math><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>71</mn><mo>%</mo></math></span> on entire testing dataset, <span><math><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.88</mn></math></span> on the Csa climate, <span><math><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.79</mn></math></span> on the Cfa climate, and <span><math><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.78</mn></math></span> on the CSH vegetation class), and continues to improve without overfitting even when exposed to a relatively small training dataset. Its high F2 score (96 %) indicates that MAML has very high precision and recall for rare cases, which is significant for irrigation. Of independent interest, this study confirms that limited remotely sensed EEflux products contribute significantly to knowledge about ground truth ETₐ and can thus be of valuable use in settings where access to good quality and high-volume data is compromised.</div></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"14 ","pages":"Pages 43-55"},"PeriodicalIF":8.2,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699966","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}