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Evaluation of methyl ester sulphonate spacer fluid additive for efficient wellbore clean-up

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Energy Geoscience 2022年第1期3卷 73-79页

作者： henry Elochukwu Ezekiel Samansu Douglas Aja Ogboo Chikere Department of Petroleum Engineering Curtin UniversityMiriSarawakMalaysia Department of Mechanical Engineering Curtin UniversityMiriSarawakMalaysia

Oil-based drilling fluid(OBDF)is used to drill through high permeable pay zone to prevent possible damage to the ***,the oil based drilling fluid leaves behind filter cake residue and oilwet surfaces which hinder cement *** fluid is usually introduced to clean up the wellbore prior to cementing *** work presents a spacer fluid designed with environment-friendly anionic methyl ester sulphonate(MES)surfactant and evaluated through a series of experimental tests to ascertain its effectiveness to clean *** of methyl ester sulphonate to confected waterbased drilling fluid at high amount(0.15 g and 0.20 g)showed good rheological properties,compatibility with OBDF and cement and low contact angle on steel and sandstone in the range of 21.9°-34.7°.Furthermore,results show that it requires less amount of MES spacer fluid to revert oil-wet OBDF aqueous phase to water external continuous phase,validating the low contact angle *** efficiencies for two best performing MES spacer fluids achieved 83.27%and 94.3%*** bond strength were measured to be 1.3 MPa and 1.05 MPa for steel and sandstone respectively,above the minimum allowable shear bond strength for oil well ***,MES spacer fluid can be used to clean up wellbores in high permeable formations and in well completion,where strong cement bonding is required.

关键词： Methyl ester sulphonate Spacer fluid Cleaning efficiency Bond strength

Epigenetic therapeutics in dental pulp treatment: Hopes, challenges and concerns for the development of next-generation biomaterials

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Bioactive Materials 2023年第9期27卷 574-593页

作者： henry F.Duncan Yoshifumi Kobayashi Michaela Kearney Emi Shimizu Division of Restorative Dentistry&Periodontology Dublin Dental University HospitalTrinity College DublinUniversity of DublinLincoln PlaceDublinIreland Department of Oral Biology Rutgers School of Dental MedicineNewarkNJUSA

This opinion-led review paper highlights the need for novel translational research in vital-pulp-treatment(VPT),but also discusses the challenges in translating evidence to *** dentistry is expensive,invasive and relies on an outmoded mechanical understanding of dental disease,rather than employing a biological perspective that harnesses cell activity and the *** research has focussed on developing minimally-invasive biologically-based‘fillings’that preserve the dental pulp;research that is shifting the paradigm from expensive high-technology dentistry,with high failure rates,to smart restorations targeted at biological *** VPTs promote repair by recruiting odontoblast-like cells in a material-dependent ***,exciting opportunities exist for development of next-generation biomaterials targeted at regenerative processes in the dentin-pulp *** article analyses recent research using pharmacological-inhibitors to therapeutically-target histone-deacetylase(HDAC)enzymes in dental-pulp-cells(DPCs)that stimulate pro-regenerative effects with limited loss of ***,HDAC-inhibitors have the potential to enhance biomaterial-driven tissue responses at low concentration by influencing the cellular processes with minimal side-effects,providing an opportunity to develop a topically-placed,inexpensive bio-inductive pulp-capping *** positive results,clinical translation of these innovations requires enterprise to counteract regulatory obstacles,dental-industry priorities and to develop strong academic/industry *** aim of this opinion-led review paper is to discuss the potential role of therapeutically-targeting epigenetic modifications as part of a topical VPT strategy in the treatment of the damaged dental pulp,while considering the next steps,material considerations,challenges and future for the clinical development of epigenetic therapeutics or other‘smart’restora

关键词： Epigenetics Vital pulp treatment Histone deacetylase inhibitors Regenerative endodontics Pulp capping

Recognition of Human Actions through Speech or Voice Using Machine Learning Techniques

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Computers, Materials & Continua 2023年第11期77卷 1873-1891页

作者： Oscar Peña-Cáceres henry Silva-Marchan Manuela Albert Miriam Gil Professional School of Systems Engineering Universidad César VallejoPiura20009Perú Escola Tècnica Superior d’Enginyeria Departament d’InformàticaUniversitat de ValènciaBurjassotValencia46100Spain Department of Mathematics Statistics and InformaticsUniversidad Nacional de TumbesTumbes24000Perú Valencian Research Institute for Artificial Intelligence Universitat Politècnica de ValènciaValencia46022Spain

The development of artificial intelligence(AI)and smart home technologies has driven the need for speech recognition-based *** demand stems from the quest for more intuitive and natural interaction between users and smart devices in their *** recognition allows users to control devices and perform everyday actions through spoken commands,eliminating the need for physical interfaces or touch screens and enabling specific tasks such as turning on or off the light,heating,or lowering the *** purpose of this study is to develop a speech-based classification model for recognizing human actions in the smart *** seeks to demonstrate the effectiveness and feasibility of using machine learning techniques in predicting categories,subcategories,and actions from sentences.A dataset labeled with relevant information about categories,subcategories,and actions related to human actions in the smart home is *** methodology uses machine learning techniques implemented in Python,extracting features using CountVectorizer to convert sentences into numerical *** results show that the classification model is able to accurately predict categories,subcategories,and actions based on sentences,with 82.99%accuracy for category,76.19%accuracy for subcategory,and 90.28%accuracy for *** study concludes that using machine learning techniques is effective for recognizing and classifying human actions in the smart home,supporting its feasibility in various scenarios and opening new possibilities for advanced natural language processing systems in the field of AI and smart homes.

关键词： AI machine learning smart home human action recognition

EDVAM:a 3D eye-tracking dataset for visual attention modeling in a virtual museum

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Frontiers of Information Technology & Electronic Engineering 2022年第1期23卷 101-112页

作者： Yunzhan ZHOU Tian FENG Shihui SHUAI Xiangdong LI Lingyun SUN henry Been-Lirn DUH Department of Computer Science Durham UniversityDurhamDH13LEUK Department of Computer Science and Information Technology La Trobe UniversityMelbourneVIC3086Australia Tian Feng&Henry Been-Lirn Duh Alibaba Group Hangzhou311121China Department of Digital Media Zhejiang UniversityHangzhou310027China International Design Institute Zhejiang UniversityHangzhou310058China

Predicting visual attention facilitates an adaptive virtual museum environment and provides a context-aware and interactive user *** toward development of a visual attention mechanism using eye-tracking data have so far been limited to 2D cases,and researchers are yet to approach this topic in a 3D virtual environment and from a spatiotemporal *** present the first 3D Eye-tracking Dataset for Visual Attention modeling in a virtual Museum,known as the *** addition,a deep learning model is devised and tested with the EDVAM to predict a user’s subsequent visual attention from previous eye *** work provides a reference for visual attention modeling and context-aware interaction in the context of virtual museums.

关键词： Visual attention Virtual museums Eye-tracking datasets Gaze detection Deep learning

iGluR expression in the hippocampal formation, entorhinal cortex, and superior temporal gyrus in Alzheimer’s disease

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Neural Regeneration Research 2022年第10期17卷 2197-2199页

作者： Jason HY Yeung henry J Waldvogel Richard LM Faull Andrea Kwakowsky Centre for Brain Research Department of Anatomy and Medical ImagingFaculty of Medical and Health SciencesUniversity of AucklandAucklandNew Zealand

Alzheimer’s disease(AD)constitutes the largest proportion of dementia worldwide,with a significant associated medical *** major pathological hallmarks of AD include the gradual accumulation and deposition of amyloid-beta(Aβ)plaques and hyperphosphorylated tau protein(Revett et al.,2013).Whilst investigations centered around the tau and Aβhypothesis have been the main focus for the previous decades,the lack of therapeutic solutions has pushed for research into other potential therapeutic targets.

关键词： Alzheimer Aβ tau

Tarrerias Bonjean:传承444年的锋芒

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家族企业 2024年第7期 82-83页

作者：弗雷德里克·戈达特布莱恩·亨利欧洲工商管理学院

家族刀具大师的血统可以追溯到几个世纪以前,对刀具制作工艺的热忧已经成为家族根深蒂固的传统。成立于1580年的Tarrerias Bonjean是一家刀具家族企业,目前生产各种厨房刀具、餐具、户外刀具和军用刀具。公司初创于法国著名的刀具之城... 详细信息

家族刀具大师的血统可以追溯到几个世纪以前,对刀具制作工艺的热忧已经成为家族根深蒂固的传统。成立于1580年的Tarrerias Bonjean是一家刀具家族企业,目前生产各种厨房刀具、餐具、户外刀具和军用刀具。公司初创于法国著名的刀具之城蒂耶尔附近,13代刀具大师的传承为企业缔造了非凡的历史。近期Tarrerias Bonjean加入了汉诺基协会,成为该协会第13家总部位于法国的成员企业。汉诺基协会是一个古老家族企业组成的国际协会,由50多家公司组成,这些公司创立并由家族管理都至少有200年的历史。

关键词：家族企业家族管理国际协会制作工艺传承

Significance of fostering the mental health of patients with diabetes through critical time intervention

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World Journal of Clinical Cases 2023年第36期11卷 8486-8497页

作者： Chiedu Eseadi Amos Nnaemeka Amedu henry Egi Aloh Department of Educational Psychology Faculty of EducationUniversity of JohannesburgJohannesburg 2006GautengSouth Africa Department of Health Services Alex Ekwueme Federal UniversityNdufu-Alike Ikwo 482131Ebonyi StateNigeria

BACKGROUND Critical time intervention(CTI)is an evidence-based model of practice that is time-limited and aims to provide support for most susceptible individuals during a transition *** To examine the significance of fostering the mental health of diabetes patients through CTI using the scoping review *** As part of the scoping review process,we followed the guidelines established by the Joanna Briggs *** search databases were Google Scholar,PubMed,Scopus,PsycINFO,Reference Citation Analysis(https://***/),and Cochrane *** these databases,77 articles were retrieved with the aid of carefully selected search ***,19 studies were selected after two reviewers appraised the full texts to ensure that they are all eligible for inclusion,while 54 papers were *** This study revealed that diabetic patients who had experienced homelessness were at higher risk of being diagnosed with mental illness and that social support services are impactful in the management of the comorbidity of diabetes and mental health *** addition,this review reveals that CTI is impactful in enhancing the mental health of homeless patients during the transitional period from the hospital through social support *** CTI is a promising intervention for alleviating mental health symptoms in homeless *** studies are needed across the globe,involving both hospitalized and community-based patients,to determine how clinically effectively CTI is in managing the mental health of diabetics.

关键词： Comorbidity Critical time intervention Diabetes Homeless patients Mental illness

Advanced deep learning methods for molecular property prediction

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Quantitative Biology 2023年第4期11卷 395-404页

作者： Chao Pang henry H.Y.Tong Leyi Wei School of Software Shandong UniversityJinanChina Joint SDU-NTU Centre forArtificial Intelligence Research(C-FAIR) Shandong UniversityJinanChina Centre for Artificial Intelligence Driven Drug Discovery FacultyofApplied ScienceMacao Polytechnic UniversityMacaoChina

The prediction of molecular properties is a crucial task in the field of drug *** methods that can accurately predict molecular properties can significantly accelerate the drug discovery process and reduce the cost of drug *** recent years,iterative updates in computing hardware and the rise of deep learning have created a new and effective path for molecular property *** learning methods can leverage the vast amount of data accumulated over the years in drug discovery and do not require complex feature *** this review,we summarize molecular representations and commonly used datasets in molecular property prediction models and present advanced deep learning methods for molecular property prediction,including state-of-the-art deep learning networks such as graph neural networks and Transformer-based models,as well as state-of-the-art deep learning strategies such as 3D pre-train,contrastive learning,multi-task learning,transfer learning,and *** also point out some critical issues such as lack of datasets,low information utilization,and lack of specificity for diseases.

关键词： dataset deep learning molecular property prediction molecular representations

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超能力设计:科技与伦理之间的平衡

艺术与设计 2024年第3期 98-101页

作者：张霓无亨利·罗宾逊(摄影) 保罗·法纳姆(摄影) 不详比利时创新与设计中心(CID)

名为“超能力设计”(SuperpowerDesign)的设计展览,很难不联想到科技与未来。超能力设计并非仅仅可增强人体的性能,亦同时反映出当代社会对此性能提升的崇拜。对于策展人本杰明·斯托兹(BenjaminStoz)而言,超能力设计欲拉近的。

关键词：超能力本杰明策展人性能提升