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The Gender Patenting Gap: A Study on the Iberoamerican Countries

Journal of Data and Information Science 2020年第3期5卷 116-128页

作者： Danilo S.Carvalho lydia Bares Kelyane Silva Center for Technological Development in Health(CDTS) Oswaldo Cruz FoundationRio de JaneiroBrazil Department of General Economics University of Cadiz Av.Enrique Villegas Velez211002CadizSpain Intellectual Property Academy Brazilian National Institute of Industrial PropertyRio de JaneiroBrazil

Purpose: This work presents a study on the female involvement in patent applications in all 23 Ibero-American countries that are WIPO members, in order to measure gender inequalities in institutional collaborations and technological fields, across ***/methodology/approach: The data used in this paper come from EPO Worldwide Patent Statistical Database(PATSTAT). PATSTAT contains bibliographical data relating to more than 100 million patent documents from leading industrialized and developing countries, as well as legal event data from more than 40 patent authorities contained in the EPO worldwide legal event data(INPADOC). The extracted subset is composed of 150,863 patent applications with priority years between 2007 and ***: Our observations indicate that even in more dynamic economies such as Portugal and Spain, the participation of women per patent applications does not exceed 30%. Additionally, the distribution of female participation among institutional sectors and technological fields is consistent with previous studies in other regions and indicate a socio-cultural *** limitations: Unisex names were not considered and were counted as gender unknown, and patent applications for which no inventor information was available were discarded, but further effort of data analysis may provide more information about gender *** implications: While patents are imperfect variables of inventive step and therefore should be considered as a variable proxy of innovation, our findings may help to guide the implementation of policies for balancing gender participation in innovative activities, as well as instigating research into the issues causing divisive participation along gender ***/value: While there is a widespread effort into evaluating and improving the participation of groups recognized as minorities within state-of-the-art activities, research about women participation in the innovation sector is fragmente

关键词： Gender I beroamerica Patent statistic

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An integrative Tai Chi program for patients with breast cancer undergoing cancer therapy:study protocol for a randomized controlled feasibility study

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Journal of Integrative Medicine 2018年第2期16卷 99-105页

作者： Lizhou Liu Simone Petrich Blair McLaren Lyndell Kelly G.David baxter Centre for Health Activity and Rehabilitation ResearchSchool of PhysiotherapyUniversity of Otago Department of Surgical Sciences Southern District Health Board Oncology Department Southern District Health Board

Background： Breast cancer patients experience various side effects during cancer therapy, often resulting in reduced quality of life and poor adherence to treatment. A limited range of proven interventions has been developed to target such side effects. While Tai Chi offers benefits for the health and well-being of breast cancer survivors, the effectiveness of Tai Chi across the treatment continuum has not been evalu- ated. Improved patient education and support has been suggested as a priority for breast cancer care. This pilot study assesses the feasibility of a randomized controlled trial （RCT） to evaluate the effectiveness of ＂an integrative Tai Chi＂（ANITA） program for breast cancer patients undergoing cancer therapy. Methods/design： This is a single-centre, two-arm feasibility RCT. Twenty-four patients with breast cancer who have undergone surgical treatment will be recruited from the Dunedin Hospital （New Zealand） over a 12-month period （from August 2017 to July 2018）. Subject to informed consent, patients will be ran- domized to receive standard cancer treatment alone or standard cancer treatment plus the ANITA pro- gram, consisting of peer support, health education, and Tai Chi Ruler exercise. The program runs alongside the patient＇s adjuvant cancer therapy, which may include chemotherapy, radiation therapy, antibody treatment, and/or antihormonal therapy. Analysis in this study will focus on process evaluation of participant recruitment, retention, treatment fidelity, acceptability of the program, and occurrence of adverse events. Clinical outcomes （i.e., fatigue, sleep quality, anxiety and depression and quality of life） will be assessed at baseline, and at 12 weeks and 24 weeks post-randomization. Discussion： Outcomes from this study will inform the feasibility and methodology for a future fully- powered RCT.

关键词： Tai Chi Breast cancer Feasibility study Randomized controlled trial Peer support Health education

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Task Offloading and Resource Allocation in IoT Based Mobile Edge Computing Using Deep Learning

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Computers, Materials & Continua 2023年第8期76卷 1463-1477页

作者： Ily s Abdullaev Natalia Prodanova KAruna Bhaskar ELaxmi lydia Seifedine Kadry Jungeun Kim Dean of the Faculty of Economics Department of Management and MarketingFaculty of EconomicsUrgench State UniversityUrganch220100Uzbekistan Basic Department Financial Control Analysis and Audit of Moscow Main Control DepartmentPlekhanov Russian University of EconomicsMoscow117997Russia Department of Computer Science and Engineering KL Deemed to UniversityVaddeswaramGunturAndhra PradeshIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajamIndia Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Software Kongju National UniversityCheonan31080Korea

Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data *** city benefitted from offloading to edge *** a mobile edge computing(MEC)network in multiple *** comprise N MDs and many access points,in which everyMDhasM independent real-time *** study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)*** proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system *** addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted *** TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading ***,the SGO algorithm is used for the parameter tuning of the DBN *** simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.

关键词： Mobile edge computing seagull optimization deep belief network resource management parameter tuning

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Nanotechnology applications for the therapy of liver fibrosis

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World Journal of Gastroenterology 2014年第23期20卷 7242-7251页

作者： lydia Giannitrapani Maurizio Soresi Maria Luisa Bondì Giuseppe Montalto Melchiorre Cervello Unit of Internal Medicine Biomedical Department of Internal Medicine and Specialties DiBiMISUniversity of Palermo90127 PalermoItaly Institute for Nanostructured Materials Studies National Research Council (CNR)90146 PalermoItaly Institute of Biomedicine and Molecular Immunology "A.Monroy" National Research Council (CNR)90146 PalermoItaly

Chronic liver diseases represent a major global health problem both for their high prevalence worldwide and,in the more advanced stages,for the limited available curative treatment *** fact,when lesions of different etiologies chronically affect the liver,triggering the fibrogenesis mechanisms,damage has already occurred and the progression of fibrosis will have a major clinical impact entailing severe complications,expensive treatments and death in end-stage liver *** significant advances in the understanding of the mechanisms of liver fibrinogenesis,the drugs used in liver fibrosis treatment still have a limited therapeutic *** drugs showing potent antifibrotic activities in vitro often exhibit only minor effects in vivo because insufficient concentrations accumulate around the target cell and adverse effects result as other non-target cells are *** stellate cells play a critical role in liver fibrogenesis,thus they are the target cells of antifibrotic *** application of nanoparticles has emerged as a rapidly evolving area for the safe delivery of various therapeutic agents(including drugs and nucleic acid)in the treatment of various pathologies,including liver *** this review,we give an overview of the various nanotechnology approaches used in the treatment of liver fibrosis.

关键词： Liver fibrosis Nanotechnology Nanoparticles Hepatic stellate cells Antifibrotic drugs Cirrhosis

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In situ differential scanning calorimetry analysis of dissolution and precipitation kinetics in Mg-Y-RE alloy WE43

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Journal of Magnesium and Alloys 2019年第1期7卷 1-14页

作者： Benjamin Milkereit lydia Burgschat Richard H.Kemsies Armin Springer Christoph Schick Olaf Kessler Chair of Materials Science Faculty of Mechanical Engineering and Marine TechnologyUniversity of RostockGermany Competence CentreCALOR-Calorimetry and Thermal Analysis Rostock Department LifeLight&MatterInterdisciplinary FacultyUniversity of RostockGermany Medical Biology and Electron Microscope Centre University Medical Centre RostockGermany Institute of Physics Polymer Physics GroupUniversity of RostockGermany

Further development of our differential scanning calorimetry(DSC)method for the analysis of solid-solid phase transformations now also allows for its application in the kinetic analysis of age hardening in Mg *** a result,the state-of-the-art for DSC on Mg alloys has been improved with respect to the accessible temperature range,zero-level accuracy and dynamic *** analysis was performed on the example of Mg wrought alloy *** DSC experiments on the initial condition T4 and even direct continuous cooling DSC analysis on the kinetics of quench induced precipitation during cooling from solution treatment were possible,covering a dynamic range of 0.01-3 K/*** DSC findings are discussed with respect to literature knowledge and scanning electron microscopy analysis of the defined heat treatment states.

关键词： Precipitation Dissolution Kinetics DSC Magnesium alloy WE43 SEM Quench induced precipitation Continuous cooling

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Enhanced Coyote Optimization with Deep Learning Based Cloud-Intrusion Detection System

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Computers, Materials & Continua 2023年第2期74卷 4319-4336页

作者： Abdullah M.Basahel Mohammad Yamin Sulafah M.Basahel E.Laxmi lydia Faculty of Economics and Administration King Abdulaziz UniversityJeddahSaudi Arabia E-commerce Department College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India

Cloud Computing(CC)is the preference of all information technology(IT)organizations as it offers pay-per-use based and flexible services to its *** the privacy and security become the main hindrances in its achievement due to distributed and open architecture that is prone to *** Detection System(IDS)refers to one of the commonly utilized system for detecting attacks on *** proves to be an effective and promising technique,that identifies malicious activities and known threats by observing traffic data in computers,and warnings are given when such threatswere *** current mainstream IDS are assisted with machine learning(ML)but have issues of low detection rates and demanded wide feature *** article devises an Enhanced Coyote Optimization with Deep Learning based Intrusion Detection System for Cloud Security(ECODL-IDSCS)*** ECODL-IDSCS model initially addresses the class imbalance data problem by the use of Adaptive Synthetic(ADASYN)*** detecting and classification of intrusions,long short term memory(LSTM)model is *** addition,ECO algorithm is derived to optimally fine tune the hyperparameters related to the LSTM model to enhance its detection efficiency in the cloud *** the presented ECODL-IDSCS model is tested on benchmark dataset,the experimental results show the promising performance of the ECODL-IDSCS model over the existing IDS models.

关键词： Intrusion detection system cloud security coyote optimization algorithm class imbalance data deep learning

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The use of metal hydrides in fuel cell applications

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Progress in Natural Science:Materials International 2017年第1期27卷 3-20页

作者： Mykhaylo V.Lototskyy Ivan Tolj lydia Pickering Cordellia Sita Frano Barbir Volodymyr Yartys HySA Systems Competence Centre South African Institute for Advanced Materials Chemistry (SAIAMC) University of the Western Cape University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Department of Thermodynamics and Heat Engines Institute for Energy Technology Kjeller

This paper reviews state-of-the-art developments in hydrogen energy systems which integrate fuel cells with metal hydride-based hydrogen storage. The 187 reference papers included in this review provide an overview of all major publications in the field, as well as recent work by several of the authors of the review. The review contains four parts. The first part gives an overview of the existing types of fuel cells and outlines the potential of using metal hydride stores as a source of hydrogen fuel. The second part of the review considers the suitability and optimisation of different metal hydrides based on their energy efficient thermal integration with fuel *** performances of metal hydrides are considered from the viewpoint of the reversible heat driven interaction of the metal hydrides with gaseous H;. Efficiencies of hydrogen and heat exchange in hydrogen stores to control H;charge/discharge flow rates are the focus of the third section of the review and are considered together with metal hydride – fuel cell system integration issues and the corresponding engineering solutions. Finally, the last section of the review describes specific hydrogen-fuelled systems presented in the available reference data.

关键词： Fuel cells Hydrogen storage Metal hydrides Thermal integration System development

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Biometric Verification System UsingHyperparameter Tuned Deep Learning Model

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Computer Systems Science & Engineering 2023年第7期46卷 321-336页

作者： Mohammad Yamin Saleh Bajaba Sarah B.Basahel E.Laxmi lydia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India

Deep learning(DL)models have been useful in many computer vision,speech recognition,and natural language processing tasks in recent *** models seem a natural fit to handle the rising number of biometric recognition problems,from cellphone authentication to airport security *** approaches have recently been utilized to improve the efficiency of various biometric recognition *** recognition was considered the more reliable and accurate biometric detection method *** recognition has been an active research region in the last few decades due to its extensive applications,from security in airports to homeland security border *** article presents a new Political Optimizer with Deep Transfer Learning Enabled Biometric Iris Recognition(PODTL-BIR)*** presented PODTL-BIR technique recognizes the iris for biometric *** the presented PODTL-BIR model,an initial stage of pre-processing is carried *** addition,the MobileNetv2 feature extractor is utilized to produce a collection of feature *** PODTL-BIR technique utilizes a bidirectional gated recurrent unit(BiGRU)model to recognise iris for biometric ***,the political optimizer(PO)algorithm is used as a hyperparameter tuning strategy to improve the PODTL-BIR technique’s recognition ***-ranging experimental investigation was executed to validate the enhanced performance of the PODTL-BIR *** experimental outcome stated the promising performance of the PODTL-BIR system over other existing algorithms.

关键词： Biometric verification iris recognition political optimizer deep learning feature extraction

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Treatment of Zollinger-Ellison Syndrome

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World Journal of Gastroenterology 2005年第35期11卷 5423-5432页

作者： Paola Tomassetti Davide Campana lydia Piscitelli Elena Mazzotta Emilio Brocchi Raffaele Pezzilli Roberto Corinaldesi Department of Internal Medicine and Gastroenterology University of Bologna Italy

In this article, we have reviewed the main therapeutic measures for the treatment of Zollinger-Ellison syndrome （ZES）. Review of the literature was based on computer searches （Pub-Med, Index Medicus） and personal experiences. We have evaluated all the measures now available for treating patients with sporadic gastrinomas or gastrinomas associated with Multiple Endocrine Neoplasia Type 1, （MEN 1） including medical therapy such as antisecretory drugs and somatostatin analogs （SST）, chemotherapy and chemoembolization, and surgical procedures. In ZES patients, the best therapeutic procedure is surgery which, if radical, can be curative. Medical treatment can be the best palliative therapy and should be used, when possible, in association with surgery, in a multimodal therapeutic approach.

关键词： Gastrinoma Zollinger-Ellison Syndrome MEN 1 Proton pump inhibitors Somatostatin analogs Chemoembolization

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Seasonal resource selection of an arboreal habitatspecialist in a human-dominated landscape: A case studyusing red panda

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Current Zoology 2023年第1期69卷 1-11页

作者： Damber Bista Greg S.baxter Nicholas J.Hudson Peter J.Murray School of Agriculture and Food Sciences(Wildlife Science Unit) The University of QueenslandGattonQLD 4343Australia School of Agriculture and Environmental Science University of Southern QueenslandDarling HeightsQLD 4350Australia

Human-dominated landscapes provide heterogeneous wildlife habitat. Conservation of habitat specialists, like red pandas Ailurus fulgens, inhabiting such landscapes is challenging. Therefore, information on resource use across spatial and temporal scales could enable informed-decisionmaking with better conservation outcomes. We aimed to examine the effect of geo-physical, vegetation, and disturbance variables on fine-scalehabitat selection of red pandas in one such landscape. We equipped 10 red pandas with GPS collars in eastern Nepal in 2019 and monitoredthem for 1 year. Our analysis was based on a generalized-linear-mixed model. We found the combined effect of geo-physical, vegetation, anddisturbance variables resulted in differences in resource selection of red pandas and that the degree of response to these variables variedacross seasons. Human disturbances, especially road and cattle herding activities, affected habitat utilization throughout the year whereas othervariables were important only during restricted periods. For instance, geo-physical variables were influential in the premating and cub-rearingseasons while vegetation variables were important in all seasons other than premating. Red pandas selected steeper slopes with high solarinsolation in the premating season while they occupied elevated areas and preferred specific aspects in the cub-rearing season. Furthermore,the utilized areas had tall bamboo in the birthing and cub-rearing seasons while they also preferred diverse tree species and high shrub coverin the latter. Our study demonstrates the significance of season-specific management, suggests the importance of specific types of vegetationduring biologically crucial periods, and emphasizes the necessity to minimize disturbances throughout the year.

关键词： Ailurus fulgens anthropogenic disturbances habitat specialists habitat utilization resource use spatio-temporal variation vegetation

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