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Asian Pacific Journal of Tropical Biomedicine 2024年第7期14卷 269-278页

作者： Meshack antwi-Adjei Ernest Obese Emmanuel Awintiig Adakudugu Benjamin Aboagye daniel Anokwah Akua Afriyie Karikari Roberta antwi-Adjei Elvis Ofori Ameyaw Department of Pharmacology School of Medical SciencesUniversity of Cape CoastCape CoastGhana Department of Pharmacotherapeutics and Pharmacy Practice School of Pharmacy and Pharmaceutical SciencesUniversity of Cape CoastCape CoastGhana Department of Forensic Sciences School of Biological SciencesUniversity of Cape CoastCape CoastGhana Department of Pharmacognosy and Herbal Medicine School of Pharmacy and Pharmaceutical SciencesUniversity of Cape CoastCape CoastGhana Department of Biomedical Sciences School of Allied Health SciencesCollege of Agriculture and Natural SciencesUniversity of Cape CoastCape CoastGhana

Objective:To assess the effect of leaf extract of Persicaria lanigera on cotton pellet-induced granuloma tissue formation and acetic acid-induced ulcerative ***:Rats were randomly divided into six groups:normal control,negative control,positive control(dexamethasone or sulfasalazine)as well as Persicaria lanigera(100-600 mg/kg)-treated *** effects of the extracts on body weight,antioxidant,and hematological parameters,as well as mast cell proliferation,were *** addition,a histological evaluation was ***:Persicaria lanigera extract significantly decreased the mean exudate amount and suppressed granuloma tissue formation in a concentration-dependent manner in rats(Png mechanisms of action need further investigation.

关键词： Colitis Persicaria lanigera Antioxidant Cotton pellets Mast cells Granuloma tissue formation

Mg/MgO interfaces as efficient hydrogen evolution cathodes causing accelerated corrosion of additive manufactured Mg alloys:A DFT analysis

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Journal of Magnesium and Alloys 2024年第1期12卷 110-119页

作者： Man-Fai ng Kai Xiang Kuah Teck Leong Tan daniel John Blackwood Department of Materials Science&Engineering National University of Singapore9 Engineering Drive 1Singapore 117575Republic of Singapore Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A∗STAR)1 Fusionopolis Way#16-16 ConnexisSingapore 138632Republic of Singapore

The corrosion rates of additive-manufactured Mg alloys are higher than their as-cast counterparts,possibly due to increased kinetics for the hydrogen evolution reaction on secondary phases,which may include oxide *** Kelvin Probe Force Microscopy demonstrated that MgO inclusions could act as cathodes for Mg corrosion,but their low conductivity likely precludes ***,the density of state calculations through density functional theory using hybrid HSE06 functional revealed overlapping electronic states at the Mg/MgO interface,which facilitates electron transfers and participates in redox *** determination of the hydrogen absorption energy at the Mg/MgO interface reveals it to be an excellent catalytic site,with HER being found to be a factor of 23x more efficient at the interface than on metallic *** results not only support the plausibility of the Mg/MgO interface being an effective cathode to the adjacent anodic Mg matrix during corrosion but also contribute to the understanding of the enhanced cathodic activities observed during the anodic dissolution of magnesium.

关键词： Magnesium Magnesium oxide Interface Hydrogen evolution DFT

Testing and modelling of transient adhesion phenomena in rolling-sliding contacts

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Friction 2024年第5期12卷 1016-1027页

作者： daniel KVARDA Alexander MEIERHOFER Klaus SIX Faculty of Mechanical Engineering Brno University of TechnologyBrno61669Czech Republic Virtual Vehicle Research GmbH Graz8010Austria

Transient adhesion effects in rolling–sliding contacts influence all aspects of train–track *** is of high importance specifically when these effects result in critically low adhesion,which poses a risk to traction and braking of railway *** study presents a model that can replicate the transient changes of the coefficient of adhesion with tested water and solid particle *** experimental data for the model are measured using a commercial ball-on-disc *** experimental results showed a liquid reservoir in front of the contact area that slowly reduces in *** observation was used in the modelling approach to divide the calculation into two stages where the reservoir is present and when it *** model was able to reproduce the occurrence of low adhesion region seen in experimental results with different particle concentrations.

关键词： coefficient of adhesion tribology transient effects wheel-rail contact

Anti-N-methyl-D-aspartate receptor-associated encephalitis: A review of clinicopathologic hallmarks and multimodal imaging manifestations

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World Journal of Radiology 2024年第1期16卷 1-8页

作者： Bryce David Beutler Alastair E Moody Jerry Mathew Thomas Benjamin Phillip Sugar Mark B Ulanja daniel antwi-amoab.ng Lucas Anthony Tsikitas Department of Radiology University of Southern CaliforniaKeck School of MedicineLos AngelesCA 90033United States Department of Anesthesiology University of UtahSalt Lake CityUT 84132United States Department of Internal Medicine Christus Ochsner St.Patrick HospitalLake CharlesLA 70601United States

Anti-N-methyl-D-aspartate receptor-associated encephalitis(NMDARE)is a rare immune-mediated neuroinflammatory condition characterized by the rapid onset of neuropsychiatric symptoms and autonomic *** mechanism of pathogenesis remains incompletely understood,but is thought to be related to antibodies targeting the GluN1 subunit of the NMDA receptor with resultant downstream dysregulation of dopaminergic *** adults are most frequently affected;the median age at diagnosis is 21 *** is a strong female predilection with a female sex predominance of 4:*** often develops as a paraneoplastic process and is most commonly associated with ovarian ***,NMDARE has also been described in patients with small cell lung cancer,clear cell renal carcinoma,and other benign and malignant *** is based on correlation of the clinical presentation,electro-encephalography,laboratory studies,and *** tomography,positron emission tomography,and magnetic resonance imaging are essential to identify an underlying tumor,exclude clinicopathologic mimics,and predict the likelihood of long-term functional *** imaging may be of value for prognostication and to assess the response to *** may involve high-dose corticosteroids,intravenous immunoglobulin,and plasma ***,we review the hallmark clinicopathologic features and imaging findings of this rare but potentially devastating condition and summarize diagnostic criteria,treatment regimens,and proposed pathogenetic mechanisms.

关键词： Anti-N-methyl-D-aspartate receptor-associated encephalitis Autoimmune encephalitis Encephalitis Ovarian teratoma Paraneoplastic syndrome Teratoma

Energy model based on solar potential and the production of electrical energy through living plants' photosynthesis

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CLEAN ENERGY 2024年第3期8卷 116-126页

作者： Martinez, Raymond daniel Rodriguez Univ Metropolitana Fac Engn Dept Ind Prod Caracas 1073 Venezuela

Developing a sustainable energy model is imperative considering the current trend towards decarbonizing sectors worldwide. For this purpose, Venezuela was used as a reference to propose an energy model focused on taking advantage of plant photosynthesis through microbial-vegetable fuel cells together with an agro-photovoltaic system to enhance energy and agricultural production. Energy production from the cells was estimated using an average power density of 264 mW/m(2) over 4% of the areas destined for crops in the entire Venezuelan region, obtaining an annual production of 19.889 GWh/year. In contrast, the energy production of the agro-photovoltaic system was modelled using PVsyst software on 50% of the area used for the cells distributed throughout the states of Anzo & aacute;tegui, Gu & aacute;rico, Monagas and Portuguesa according to their meteorological conditions, solar irradiation and agricultural activity, resulting in 3 703 417 GWh/year. The resulting whole system proved to be able to cover >10 times the installed electricity generation capacity at a national level and, together with the tremendous scalability of the microbial fuel cells, it shows that Venezuela has a high potential for the production and distribution of clean energy. [GRAPHICS]

关键词： ecosystems microbial fuel cell microorganisms renewable sustainability RESOURCES

Beyond the code:the role of histone methylation in cancer resistance and therapy

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Signal Transduction and Targeted Therapy 2024年第7期9卷 2837-2839页

作者： daniel Noerenberg Frederik Damm Charité–Universitätsmedizin Berlin corporate member of Freie Universität BerlinHumboldt Universität zu Berlinand Berlin Institute of HealthDepartment of HematologyOncologyand Cancer ImmunologyBerlinGermany German Cancer Consortium(Deutsches Konsortium für Translationale Krebsforschung DKTK)Partner SiteBerlinGermany

In a recently published paper in Nature,Yamagishi et *** a comprehensive exploration on the mechanistic basis and subsequent emergence of resistance of targeting histone H3 lysine trimethylation(H3K27me3)using the EZH... 详细信息

关键词： EZH2 resistance

Assessment of scale interactions associated with wake meandering using bispectral analysis methodologies

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 65-75页

作者： Dinesh Kumar Kinjangi daniel Foti Department of Mechanical Engineering University of MemphisMemphisTennesseeUSA

Large atmospheric boundary layer fluctuations and smaller turbine-scale vorticity dynamics are separately hypothesized to initiate the wind turbine wake meandering phenomenon,a coherent,dynamic,turbine-scale oscillation of the far *** interactions,the mechanism of energy transfers between scales,manifest as triples of wavenumbers or frequencies and can be characterized through bispectral *** bispectrum,which correlates the two frequencies to their sum,is calculated by two recently developed multi-dimensional modal decomposition methods:scale-specific energy transfer method and bispectral mode ***-eddy simulation of a utility-scale wind turbine in an atmospheric boundary layer with a broad range of large length-scales is used to acquire instantaneous velocity *** bispectrum from both methods identifies prominent upwind and wake meandering interactions that create a broad range of energy scales including the wake meandering *** coherent kinetic energy associated with the interactions shows strong correlation between upwind scales and wake meandering.

关键词： Wind turbine wake Mode decomposition Bispectral analysis

Fundamental error in tree-based machine learning model selection for reservoir characterisation

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 214-224页

作者： daniel Asante Otchere Centre of Excellence in Subsurface Seismic Imaging and Hydrocarbon Prediction Universiti Teknologi PETRONAS32610Seri IskandarPerak Darul RidzuanMalaysia

Over the past two decades,machine learning techniques have been extensively used in predicting reservoir *** this approach has significantly contributed to the industry,selecting an appropriate model is still challenging for most *** solely on statistical metrics to select the best model for a particular problem may not always be the most effective *** study encourages researchers to incorporate data visualization in their analysis and model selection *** evaluate the suitability of different models in predicting horizontal permeability in the Volve field,wireline logs were used to train Extra-Trees,Ridge,Bagging,and XGBoost *** Random Forest feature selection technique was applied to select the relevant logs as inputs for the *** on statistical metrics,the Extra-Trees model achieved the highest test accuracy of 0.996,RMSE of 19.54 mD,and MAE of 3.18 mD,with XGBoost coming in ***,when the results were visualised,it was discovered that the XGBoost model was more suitable for the problem being *** XGBoost model was a better predictor within the sandstone interval,while the Extra-Trees model was more appropriate in non-sandstone *** this study aims to predict permeability in the reservoir interval,the XGBoost model is the most *** contrasting results demonstrate the importance of incorporating data visualisation techniques as an evaluation *** the heterogeneity of the subsurface,relying solely on statistical metrics may not be sufficient to determine which model is best suited for a particular problem.

关键词： Data visualisation Permeability Machine learning Statistical metrics

Application of artifcial intelligence in cataract management:current and future directions

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Eye and Vision 2024年第1期10卷 21-30页

作者： Laura Gutierrez Jane Sujuan Lim Li Lian Foo Wei Yan ng Michelle Yip Gilbert Yong San Lim Melissa Hsing Yi Wong Allan Fong Mohamad Rosman Jodhbir Singth Mehta Haotian Lin Darren Shu Jeng Ting daniel Shu Wei Ting Singapore Eye Research Institute SingaporeSingapore Singapore National Eye Center 11 Third Hospital AvenueSingapore 168751Singapore Academic Ophthalmology School of MedicineUniversity of NottinghamNottinghamUK Zhongshan Ophthalmic Center Sun Yet Sen UniversityGuangzhouChina

The rise of artifcial intelligence(AI)has brought breakthroughs in many areas of *** ophthalmology,AI has delivered robust results in the screening and detection of diabetic retinopathy,age-related macular degeneration,glaucoma,and retinopathy of *** management is another feld that can beneft from greater AI *** is the leading cause of reversible visual impairment with a rising global clinical *** diagnosis,monitoring,and surgical management are necessary to address this *** addition,patients in large developing countries often sufer from limited access to tertiary care,a problem further exacerbated by the ongoing COVID-19 *** on the other hand,can help transform cataract management by improving automation,efcacy and overcoming geographical ***,AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus *** utilizes a deep-learning,convolutional neural network(CNN)to detect and classify referable cataracts ***,some of the latest intraocular lens formulas have used AI to enhance prediction accuracy,achieving superior postoperative refractive results compared to traditional ***,AI can be used to augment cataract surgical skill training by identifying diferent phases of cataract surgery on video and to optimize operating theater workfows by accurately predicting the duration of surgical ***,some AI CNN models are able to efectively predict the progression of posterior capsule opacifcation and eventual need for YAG laser *** advances in AI could transform cataract management and enable delivery of efcient ophthalmic *** key challenges include ethical management of data,ensuring data security and privacy,demonstrating clinically acceptable performance,improving the generalizability of AI models across heterogeneous populations,and improving the trust of e

关键词： Artifcial intelligence Telemedicine Cataract Cataract screening Cataract surgery IOL calculations Biometry Machine learning

Online Demand Response Characterization Based on Variability in Customer Behavior

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 936-946页

作者： Lester Marrero daniel Sbárbaro Luis García-Santander the Department of Electrical Engineering University of ConcepciónConcepción 4070409Chile

This paper proposes an online framework to characterize demand response(DR)over *** proposed framework facilitates obtaining and updating the daily consumption patterns of *** essential concept of response profile class(RPC)is introduced for characterization and complemented by the measure of the variability in customer *** paper uses a modified version of the incremental clustering by fast search and find of density peaks(CFSFDP)algorithm for daily profiles,considering the multivariate normal kernel density estimator and incremental forms of the Davies-Bouldin(i DB)and Xie-Beni(i XB)validity *** studies conducted using real-world and simulated daily profiles of residential and commercial Chilean end-users have demonstrated how the proposed framework can continuously characterize *** proposed framework is proven to achieve realistic customer models for effective energy management by estimating the customer response to price signals at the distribution system operator(DSO)level.

关键词： Demand response(DR) incremental indice online characterization online clustering response profile class(RPC)