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Experimental implementation of phase triplicator gratings in a spatial light modulator

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Chinese Optics Letters 2024年第2期22卷 64-69页

作者：高尚 maría del mar Sánchez-López Ignacio Moreno Instituto de Bioingeniería Universidad Miguel HernándezElche 03202Spain Departamento de Física Aplicada Universidad Miguel HernándezElche 03202Spain Departamento de Ciencia de Materiales Óptica y Tec.Electr´onicaUniversidad Miguel HernándezElche 03202Spain

In this work,we compare different methods for implementing a triplicator,a phase grating that generates three equiintense diffraction *** design with optimal efficiency features a continuous phase profile,which cannot be easily reproduced,and is typically affected by *** compare its performance with binary and sinusoidal phase *** also analyze the effect of quantizing the phase ***,a random approach is adopted to eliminate the additional harmonic *** all cases,a liquid-crystal-on-silicon spatial light modulator is employed to experimentally verify and compare the different approaches.

关键词： diffraction gratings phase modulation triplicator spatial light modulators

Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving

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Engineering 2024年第2期33卷 90-107页

作者： Xinwei Wang Zirui Li Javier alonso-mora Meng Wang School of Engineering and Materials Science Queen Mary University of LondonLondon E14NSUK Department of Cognitive Robotics Delft University of TechnologyDelft 2628 CDNetherlands School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Chair of Traffic Process Automation “Friedrich List”Faculty of Transport and Traffic SciencesTU DresdenDresden 01069Germany

Risk assessment is a crucial component of collision warning and avoidance systems for intelligent ***-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle ***,they suffer from over-conservatism,potentially resulting in false–positive risk events in complicated real-world *** this paper,we combine two reachability analysis techniques,a backward reachable set(BRS)and a stochastic forward reachable set(FRS),and propose an integrated probabilistic collision–detection framework for highway *** this framework,we can first use a BRS to formally check whether a two-vehicle interaction is safe;otherwise,a prediction-based stochastic FRS is employed to estimate the collision probability at each future time ***,the framework can not only identify non-risky events with guaranteed safety but also provide accurate collision risk estimation in safety-critical *** construct the stochastic FRS,we develop a neural network-based acceleration model for surrounding vehicles and further incorporate a confidence-aware dynamic belief to improve the prediction *** experiments were conducted to validate the performance of the acceleration prediction model based on naturalistic highway driving *** efficiency and effectiveness of the framework with infused confidence beliefs were tested in both naturalistic and simulated highway *** proposed risk assessment framework is promising for real-world applications.

关键词： Probabilistic collision detection Confidence awareness Probabilistic acceleration prediction Reachability analysis Risk assessment

Targeting autophagy by polyphenols to prevent glycative stress-toxicity in the brain

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Neural Regeneration Research 2024年第5期19卷 941-942页

作者： alejandro Ponce-mora Eloy Bejarano Department of Biomedical Sciences School of Health Sciences and Veterinary SchoolUniversidad Cardenal Herrera-CEUCEU UniversitiesValenciaSpain

Glycative stress-a pathological hub in brain dysfunction:The nervous system is an intricate network that requires precise and complex *** recent years,growing evidence highlights the detrimental impact of glycative stress on brain homeostasis,which disables a network of vital processes,necessary for optimal function(Gómez et al.,2021).

关键词： homeostasis stress

A texture-modified dessert with high nutritional value designed for people with dysphagia:effect of refrigeration and frozen storage

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Food Science and Human Wellness 2024年第1期13卷 462-471页

作者： maría Cartagena Larisa Giura Diana Ansorena Iciar Astiasaran Department of Nutrition Food Science and PhysiologyFaculty of Pharmacy and NutritionUniversidad de NavarraC/Irunlarrea s/nPamplona 31008Spain Center for Nutrition Research University of Navarrac/Irunlarrea 1Pamplona 31008Spain Instituto de Investigación Sanitaria de Navarra IDISNAPamplona 31008Spain National Centre for Food Technology and Safety(CNTA)—Technology and Knowledge for Food Sector Competitiveness NavarreCrta-Na 134-km 53San Adrian 31570Spain

Dysphagia is commonly associated with malnutrition and an increased choking *** overcome these complications,food designed for people with dysphagia should have an appropriate texture and a high nutritional *** this study,six formulations of a strawberry dessert enriched in protein(calcium caseinate)and fiber(wheat dextrin or inulin)were developed using different hydrocolloids(xanthan gum,carboxymethyl cellulose or modified starch)to provide desirable texture and *** value was calculated and total phenolic content and antioxidant activity of the samples were ***-extrusion test,rheological measurements and sensory analysis were performed in refrigerated and frozen samples to characterize their textural and viscoelastic *** high content in protein(14.7 g/100 g)and fiber(7.9-8.7 g/100 g)made possible to use the claims“high protein”and“high fiber”.Phytochemicals supplied by strawberries contributed to the antioxidant properties of the *** tangent ranged 0.28-0.35 for all the formulations,indicating a weak gel behavior,which could be considered safe to *** formulations with dextrin in combination with carboxymethyl cellulose or xanthan gum seemed to be less susceptible to structural changes during frozen *** work provides insights for the development of a nutrient-dense dessert that meets the requirements of people with dysphagia.

关键词： Malnutrition Texture-modified-food Hydrocolloids Viscoelastic properties Food texture

Tracking the change in Spanish greenhouse gas emissions through an LMDI decomposition model:A global and sectoral approach

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Journal of Environmental Sciences 2024年第5期139卷 114-122页

作者： Paula Fernández González maría José Presno Manuel Landajo Department of Applied Economics University of OviedoAuda del Cristos/n 33011 OviedoSpain

The reduction of GHG emissions to reverse the greenhouse effect is one of the main challenges in this *** this paper we pursue two ***,we analyze the evolution of GHG emissions in Spain in 2008–2018,at both the global and sectoral levels,with the variation in emissions decomposed into a set of determining ***,we propose several actions specifically oriented to more tightly controlling the level of *** results showed a remarkable reduction(18.44%)in GHG emissions,mainly due to the intensity effect,but also to the production-per-capita *** detected somewhat different patterns among the various sectors *** the intensity effect was the most influential one in the agricultural,transport,and others sectors,the production-per-capita effect was predominant in the case of *** carbonization effect was revealed as crucial in the commerce *** above findings highlight the importance of the energy efficiency measures taken in recent years in the Spanish economy,also pointing to the need to deepen those strategies and to propose new measures that entail greater efficiency in *** efforts in areas like innovation,R&D,diffusion of more eco-friendly technologies,and a greater use of greener energies all prove to be essential reduction actions to fight the greenhouse effect.

关键词： LMDI Decomposition Spain GHG emissions

Single image super-resolution:a comprehensive review and recent insight

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Frontiers of Computer Science 2024年第1期18卷 139-156页

作者： Hanadi al-MEKHLAFI Shiguang LIU College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Super-resolution(SR)is a long-standing problem in image processing and computer vision and has attracted great attention from researchers over the *** main concept of SR is to reconstruct images from low-resolution(LR)to high-resolution(HR).It is an ongoing process in image technology,through up-sampling,de-blurring,and *** neural network(CNN)has been widely used to enhance the resolution of images in recent *** alternative methods use deep learning to improve the progress of image super-resolution based on ***,we review the recent findings of single image super-resolution using deep learning with an emphasis on distillation knowledge used to enhance image super-resolution.,it is also to highlight the potential applications of image super-resolution in security monitoring,medical diagnosis,microscopy image processing,satellite remote sensing,communication transmission,the digital multimedia industry and video ***,we present the challenges and assess future trends in super-resolution based on deep learning.

关键词： super-resolution deep learning single-image interpolation-based learning-based reconstruction-based

Engineering hyaluronic acid-based nanoassemblies for monoclonal antibody delivery-design,characterization,and biological insights

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Nano Research 2024年第10期17卷 9111-9125页

作者： Ana M.López-Estévez Y.Zhang maría Medel Iker Arriaga Lucía Sanjurjo Cristian Huck-Iriart Nicola G.A.Abrescia maría J.Vicent Defang Ouyang Dolores Torres maría José alonso Center for Research in Molecular Medicine and Chronic Diseases(CiMUS) University of Santiago de CompostelaSantiago de Compostela 15782Spain Department of Pharmacology Pharmacy and Pharmaceutical TechnologySchool of PharmacyUniversity of Santiago de CompostelaSantiago de Compostela 15782Spain Health Research Institute of Santiago de Compostela(IDIS) Santiago de Compostela 15782Spain State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical Sciences(ICMS)University of MacaoMacao 999078China Polymer Therapeutics Laboratory and CIBERONC Prince Felipe Research Centre Valencia E-46012Spain Structure and Cell Biology of Viruses Lab CIC bioGUNEBasque Research and Technology Alliance(BRTA)Derio 48160Spain alBA Synchrotron Light Source Experiments DivisionCerdanyola del VallèsBarcelona 08290Spain IKERBASQUE Basque Foundation for ScienceBilbao 48009Spain

The current spotlight of cancer therapeutics is shifting towards personalized medicine with the widespread use of monoclonal antibodies(mAbs).Despite their increasing potential,mAbs have an intrinsic limitation related to their inability to cross cell membranes and reach intracellular *** offers promising solutions to overcome this limitation,however,formulation challenges *** challenges are the limited loading capacity(often insufficient to achieve clinical dosing),the complex formulation methods,and the insufficient characterization of mAb-loaded ***,we present a new nanocarrier consisting of hyaluronic acid-based nanoassemblies(HANAs)specifically designed to entrap mAbs with a high efficiency and an outstanding loading capacity(50%,w/w).HANAs composed by an mAb,modified HA and phosphatidylcholine(PC)resulted in sizes of~100 nm and neutral surface *** modeling identified the principal factors governing the high affinity of mAbs with the amphiphilic HA and *** composition and structural configuration were analyzed using the orthogonal techniques cryogenic transmission electron microscopy(cryo-TEM),asymmetrical flow field-flow fractionation(AF4),and small-angle X-ray scattering(SAXS).These techniques provided evidence of the formation of core-shell nanostructures comprising an aqueous core surrounded by a bilayer consisting of phospholipids and amphiphilic *** vitro experiments in cancer cell lines and macrophages confirmed HANAs’low toxicity and ability to transport mAbs to the intracellular *** reproducibility of this assembling process at industrial-scale batch sizes and the long-term stability was *** conclusion,these results underscore the suitability of HANAs technology to load and deliver biologicals,which holds promise for future clinical translation.

关键词： monoclonal antibody nanoparticles hyaluronic acid characterization particle size computational modeling

RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids

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Computers, Materials & Continua 2024年第5期79卷 3175-3192页

作者： Farah Mohammad Saad al-Ahmadi Jalal al-Muhtadi Center of Excellence in Information Assurance(CoEIA) King Saud UniversityRiyadh11543Saudi Arabia College of Computer&Information Sciences King Saud UniversityRiyadh11543Saudi Arabia

Electricity theft is a widespread non-technical issue that has a negative impact on both power grids and electricity *** hinders the economic growth of utility companies,poses electrical risks,and impacts the high energy costs borne by *** development of smart grids is crucial for the identification of power theft since these systems create enormous amounts of data,including information on client consumption,which may be used to identify electricity theft using machine learning and deep learning ***,there also exist different solutions such as hardware-based solutions to detect electricity theft that may require human resources and expensive ***-based solutions are presented in the literature to identify electricity theft but due to the dimensionality curse,class imbalance issue and improper hyper-parameter tuning of such models lead to poor *** this research,a hybrid deep learning model abbreviated as RoGRUT is proposed to detect electricity theft as amalicious and non-malicious *** key steps of the RoGRUT are data preprocessing that covers the problem of class imbalance,feature extraction and final theft *** advanced-level models like RoBERTa is used to address the curse of dimensionality issue,the near miss for class imbalance,and transfer learning for *** effectiveness of the RoGRUTis evaluated using the dataset fromactual smartmeters.A significant number of simulations demonstrate that,when compared to its competitors,the RoGRUT achieves the best classification *** performance evaluation of the proposed model revealed exemplary results across *** accuracy achieved was 88%,with precision at an impressive 86%and recall reaching 84%.The F1-Score,a measure of overall performance,stood at 85%.Furthermore,themodel exhibited a noteworthyMatthew correlation coefficient of 78%and excelled with an area under the curve of 91%.

关键词： Electricity theft smart grid RoBERTa GRU transfer learning

Developing a Model for Parkinson’s Disease Detection Using Machine Learning algorithms

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Computers, Materials & Continua 2024年第6期79卷 4945-4962页

作者： Naif al Mudawi Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia

Parkinson’s disease(PD)is a chronic neurological condition that progresses over *** start to have trouble speaking,writing,walking,or performing other basic skills as dopamine-generating neurons in some brain regions are injured or *** patient’s symptoms become more severe due to the worsening of their signs over *** this study,we applied state-of-the-art machine learning algorithms to diagnose Parkinson’s disease and identify related risk *** research worked on the publicly available dataset on PD,and the dataset consists of a set of significant characteristics of *** aim to apply soft computing techniques and provide an effective solution for medical professionals to diagnose PD *** research methodology involves developing a model using a machine learning *** the model selection,eight different machine learning techniques were adopted:Namely,Random Forest(RF),Decision Tree(DT),Support Vector Machine(SVM),Naïve Bayes(NB),Light Gradient Boosting Machine(LightGBM),K-Nearest Neighbours(KNN),Extreme Gradient Boosting(XGBoost),and Logistic Regression(LR).Subsequently,the concentrated models were validated through 10-fold Cross-Validation and Receiver Operating Characteristic(ROC)—Area Under the Curve(AUC).In addition,GridSearchCV was utilised to measure each algorithm’s best parameter;eventually,the models were trained through the hyperparameter tuning *** 98%accuracy,LightGBM had the highest accuracy in this ***,KNN,and SVM came in second with 96%***,the performance scores of NB and LR were recorded to be 76%and 83%,*** is to be mentioned that after applying 10-fold cross-validation,the average performance score of LightGBM accounted for 93%.At the same time,the percentage of ROC-AUC appeared at 0.92,which indicates that this LightGBM model reached a satisfactory ***,we extracted meaningful insights and figured out potential gaps on top of *** extracting meaningful in

关键词： Light GBM cross-validation ROC-AUC Parkinson’s disease(PD) SVM and XGBoost