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A hierarchical optimisation framework for pigmented lesion diagnosis

CAAI Transactions on Intelligence Technology 2022年第1期7卷 34-45页

作者： Audrey Huong KimGaik Tay KokBeng Gan xavier Ngu Department of Electronic Engineering Universiti Tun Hussein Onn MalaysiaParit RajaMalaysia Department of Electrical Electronic&Systems EngineeringUniversiti Kebangsaan MalaysiaBangiMalaysia Institute of Integrated Engineering Universiti Tun Hussein Onn MalaysiaParit RajaMalaysia

The study of training hyperparameters optimisation problems remains underexplored in skin lesion *** is the first report of using hierarchical optimisation to improve computational effort in a four-dimensional search space for the *** authors explore training parameters selection in optimising the learning process of a model to differentiate pigmented lesions *** the authors'demonstration,pretrained GoogleNet is fine-tuned with a full training set by varying hyperparameters,namely epoch,mini-batch value,initial learning rate,and gradient *** iterative search of the optimal global-local solution is by using the derivative-based *** authors used non-parametric one-way ANOVA to test whether the classification accuracies differed for the variation in the training *** authors identified the mini-batch size and initial learning rate as parameters that significantly influence the model's learning *** authors'results showed that a small fraction of combinations(5%)from constrained global search space,in contrarily to 82%at the local level,can converge with early stopping *** mean(standard deviation,SD)validation accuracies increased from 78.4(4.44)%to 82.9(1.8)%using the authors'*** fine-tuned model's performance measures evaluated on a testing dataset showed classification accuracy,precision,sensitivity,and specificity of 85.3%,75.6%,64.4%,and 97.2%,*** authors'system achieves an overall better diagnosis performance than four state-of-the-art approaches via an improved search of parameters for a good adaptation of the model to the authors'*** extended experiments also showed its superior performance consistency across different deep networks,where the overall classification accuracy increased by 5%with this *** approach reduces the risk of search being trapped in a suboptimal solution,and its use may be expanded to network architecture optimisation for

关键词： hierarchical hyperparameter optimisation pigmented lesion search

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Inclusive Education in the Context of Ethnocultural Diversity: Understanding the Process of Exclusion to Act in the School - A Secondary Publication

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Journal of Contemporary Educational Research 2024年第3期8卷 124-135页

作者： Marie-Odile Magnan Justine Gosselin-Gagné Geneviève Audet xavier Conus Faculty of Educational Sciences Department of Administration and Foundations of EducationUniversity of MontrealCanada Department of Special Education and Training University of Quebec at MontrealCanada Department of Educational Sciences and Training University of FriborgSwitzerland

This paper reveals that the implementation of inclusive education is an unfinished challenge,both within the system and for individual *** process of changing practices,by continually questioning the school’s responsibility for the(re)production of inequalities,exclusion,and unequal social relations,is riddled with obstacles,unpredictable situations,and strong *** particular,the researchers point out that many systemic mechanisms of school culture contribute to replicating and reifying hierarchical school experiences and exacerbating processes of institutional discrimination against immigrant backgrounds and/or racialized *** empirical research presented also highlights the school staff’s deficit thinking toward immigrant students and their *** results show that staff tend to use linguistic and cultural gaps between students and the school system to explain academic *** that as it may,the researchers as well as the school actors and students interviewed in this paper suggest multiple ways to improve inclusion in the school context,stressing the importance of giving voice to the various actors in order to move toward institutional transformation.

关键词： Educational inclusion and exclusion Canada Switzerland

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公司内部资本市场的q理论

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清华金融评论 2024年第7期 97-100页

作者：戴民泽维尔·吉鲁德蒋为王能香港理工大学应用数学系和会计与金融系中国香港美国哥伦比亚大学商学院香港科技大学工学院中国香港长江商学院

多部门的企业集团在全球经济中占据重要地位。多部门的企业集团的价值并非各部门价值的简单加总。论文《公司内部资本市场的q理论》(A q Theory of Internal Capital Markets)提出了一个关于多部门企业集团的投资、分拆、融资和风险管... 详细信息

多部门的企业集团在全球经济中占据重要地位。多部门的企业集团的价值并非各部门价值的简单加总。论文《公司内部资本市场的q理论》(A q Theory of Internal Capital Markets)提出了一个关于多部门企业集团的投资、分拆、融资和风险管理的动态模型。

关键词：内部资本市场 q理论风险管理 Capital 融资多部门企业集团动态模型

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An Intelligent Intrusion Detection System in Smart Grid Using PRNN Classifier

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Intelligent Automation & Soft Computing 2023年第3期35卷 2979-2996页

作者： P.Ganesan S.Arockia Edwin xavier Department of Electrical and Electronics Engineering Government College of EngineeringSrirangamTrichy620012India Department of Electrical and Electronics Engineering Thiagarajar College of EngineeringMadurai625015India

Typically,smart grid systems enhance the ability of conventional power system networks as it is vulnerable to several kinds of *** vulnerabil-ities might cause the attackers or intruders to collapse the entire network system thus breaching the conﬁdentiality and integrity of smart grid ***,for this purpose,Intrusion detection system(IDS)plays a pivotal part in offering a reliable and secured range of services in the smart grid *** exist-ing approaches are there to detect the intrusions in smart grid framework,however they are utilizing an old dataset to detect anomaly thus resulting in reduced rate of detection accuracy in real-time and huge data *** as to overcome these limitations,the proposed technique is presented which employs both real-time raw data from the smart grid network and KDD99 dataset thus detecting anoma-lies in the smart grid *** the grid side data acquisition,the power trans-mitted to the grid is checked and enhanced in terms of power quality by eradicating distortion in transmission *** this approach,power quality in the smart grid network is enhanced by rectifying the fault using a FACT device termed UPQC(Uniﬁed Power Quality Controller)and thereby storing the data in cloud *** data from smart grid cloud storage and KDD99 are pre-pro-cessed and are optimized using Improved Aquila Swarm Optimization(IASO)to extract optimal *** probabilistic Recurrent Neural Network(PRNN)classiﬁer is then employed for the prediction and classiﬁcation of *** last,the performance is estimated and the outcomes are projected in terms of grid voltage,grid current,Total Harmonic Distortion(THD),voltage sag/swell,accu-racy,precision,recall,F-score,false acceptance rate(FAR),and detection rate of the classiﬁ*** analysis is compared with existing techniques to validate the proposed model efﬁciency.

关键词： Intrusion detection system anomaly detection smart grid power quality enhancement uniﬁed power quality controller harmonics elimination fault rectiﬁcation improved aquila swarm optimization detection rate

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Mass Screening Using Antigenic and Molecular Diagnostic Tests of COVID-19 in Bangui at the Beginning of the Second Wave in July 2021

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Journal of Tuberculosis Research 2024年第1期12卷 1-12页

作者： Clotaire Donatien Rafaï Marie-Roseline Darnycka Belizaire Pierre Somse Wilfrid Sylvain Nambei Ernest Lango-Yaya Oscar Senzongo Luc Salva Hereidebona Ulrich Jeffrey Kotemossoua Rabbi Mermoz Senekian Simon Pounguinza Christian-Diamant Mossoro-Kpinde Alain Le Faou Jean De Dieu Longo François-xavier Mbopi-Keou Gérard Grésenguet Boniface Koffi National Laboratory of Clinical Biology and Public Health Bangui Central African Republic Faculty of Health Sciences University of Bangui Bangui Central African Republic World Health Organization Bangui Central African Republic Ministry of Health and Population Bangui Central African Republic Faculty of Medicine Maieutic and Health Sciences University of Lorraine Pole Brabois Santé Nancy France Faculty of Medicine and Biomedical Sciences University of Yaounde I Yaounde Cameroun

Objective: COVID-19 surveillance was established as early as March 2020 in the Central African Republic (CAR), after the WHO statement relating to the identification of several cases outside China. However, given the non-performing molecular biology technical platform in many developing countries in sub-Saharan Africa, the second wave promised to be surprising and formidable. In this context, a mass survey was launched in Bangui to determine the prevalence of COVID-19. Patients and Methods: From March 18 to April 2, 2021, a mass screening campaign took place in tourist places, companies and the main hospital infrastructures. Nasopharyngeal swab samples were collected from participants with and without symptoms of Influenza-like illness (ILI) and stored in VTM tubes. The Ag (COVID-19) and RT-PCR tests were carried out in Bangui at the LNBCSP. The sequencing of RT-PCR SARS-CoV-2 positives was carried out at the INRB. Results: We included 1480 participants of whom 33 (2.23%) were SARS-COV-2 positive, of whom 24 were male and 9 female. This sex difference was statistically significant (p = 0.012) as the sex ratio M/F was 1.09. Sampling sites located in the 1st arrondissement were the most prolific (p = 0.006) and were sequenced. In addition to the analysis of the 33 samples from the predefined sites under study, 17 control sequences from the provinces generated during the same period are added. We detected 2 Variants Of Concern (VOC) including the predominant B.1.620 (43.86%) followed by B.1.1.7 or Alpha (5.10%). Conclusion: The study showed the importance of surveillance and the availability of means of diagnosis of COVID-19. The identified risk factors were sex and sampling site. This study has shown the importance of setting up sentinel sites for COVID-19 surveillance in all regions of the country and the appropriate use of the anti-COVID-19 vaccine.

关键词： COVID-19 Variants Central African Republic

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Extremal Coalitions for Influence Games Through Swarm Intelligence-Based Methods

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Computers, Materials & Continua 2022年第3期70卷 6305-6321页

作者： Fabián Riquelme Rodrigo Olivares Francisco Munoz xavier Molinero Maria Serna Escuela de Ingeniería Informática Universidad de ValparaísoValparaísoChile Computer Science Department Universitat Politècnica de CatalunyaBarcelonaSpain Mathematics Department Universitat Politècnica de CatalunyaTerrassaSpain

An influence game is a simple game represented over an influence graph(i.e.,a labeled,weighted graph)on which the influence spread phenomenon is *** games allow applying different properties and parameters coming from cooperative game theory to the contexts of social network analysis,decision-systems,voting systems,and collective *** exact calculation of several of these properties and parameters is computationally hard,even for a small number of *** examples of these parameters are the length and the width of a *** length of a game is the size of its smaller winning coalition,while the width of a game is the size of its larger losing *** parameters are relevant to know the levels of difficulty in reaching agreements in collective decision-making *** the above,new bio-inspired metaheuristic algorithms have recently been developed to solve the NP-hard influence maximization problem in an efficient and approximate way,being able to find small winning coalitions that maximize the influence spread within an influence *** this article,we apply some variations of this solution to find extreme winning and losing coalitions,and thus efficient approximate solutions for the length and the width of influence *** a case study,we consider two real social networks,one formed by the 58 members of the European Union Council under nice voting rules,and the other formed by the 705 members of the European Parliament,connected by political *** are promising and show that it is feasible to generate approximate solutions for the length and width parameters of influence games,in reduced solving time.

关键词： Influence game influence spread collective behavior swarm intelligence bio-inspired computing

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Associations between testicular development and fetal size in the pig

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Journal of Animal Science and Biotechnology 2022年第5期13卷 1340-1350页

作者： Claire Stenhouse Yennifer Cortes-Araya F.xavier Donadeu Cheryl J.Ashworth Functional Genetics and Development Division The Roslin Institute and Royal(Dick)School of Veterinary StudiesUniversity of EdinburghMidlothianUK Department of Animal Science Texas A&M University440 Kleberg CenterCollege StationTX 77843-2471USA

Background:Impaired reproductive performance is the largest contributing factor for the removal of boars from commercial *** growth restricted piglets represent 25%of the total number of piglets born and have impaired reproductive *** study aimed to improve the understanding of temporal changes in testicular gene expression during testes development in fetuses of different *** lightest and closest to mean litter weight(CTMLW)male Large White×Landrace littermates were collected at gestational days(GD)45,60 and 90(n=5-6 litters/GD).Results:Testes weight and testes weight as a percentage of fetal weight were not associated with fetal size at GD60 or *** plasma testosterone was not associated with fetal size at *** was no association between fetal size and seminiferous tubule area and number,number of germ or Sertoli cells per *** lightest fetuses tended to have wider seminiferous tubules compared to the CTMLW fetuses at GD90(P=0.077).The testicular expression of KI67(P≤0.01)and BAX:BCL2 ratio(P=0.058)mRNAs decreased as gestation *** SPP1 mRNA expression was observed at GD60 when compared with GD45 and 90(P≤0.05).Lower expression of DMRT1 and SPP1(P<0.01)mRNAs was observed in testes associated with the lightest fetuses compared to the CTMLW fetuses at ***:These findings provide novel insights into the expression profiles of genes associated with testicular development and ***,these data suggest that programming of reproductive potential in IUGR boars occurs late in gestation,providing a platform for further mechanistic investigation.

关键词： Fetal growth Intrauterine growth restriction(IUGR) Porcine Pregnancy Testes

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Complementary Methods to Acquire the Kinematics of Swimming Snakes:A Basis to Design Bio-inspired Robots

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Journal of Bionic Engineering 2023年第2期20卷 668-682页

作者： Elie Gautreau xavier Bonnet Tom Fox Guillaume Fosseries Valéry Valle Anthony Herrel Med Amine Laribi Department of GMSC University of PoitiersISAE-ENSMACNRSPPRIME UPR 3346PoitiersFrance CEBC Center for Biological Studies of Chizé CNRS and University of la RochelleVilliers en BoisFrance MNHN National Museum of Natural History CNRSParisFrance

The vast diversity of morphologies,body size,and lifestyles of snakes represents an important source of information that can be used to derive bio-inspired robots through a biology-push and pull *** understanding of the detailed kinematics of swimming snakes is a fundamental prerequisite to conceive and design bio-inspired aquatic snake ***,only limited information is available on the kinematics of swimming *** and accurate methods are needed to fill this knowledge *** the present paper,three existing methods were compared to test their capacity to characterize the kinematics of swimming snakes.(1)Marker tracking(Deftac),(2)Markerless pose estimation(DeepLabCut),and(3)Motion capture were considered.(4)We also designed and tested an automatic video processing *** methods provided different albeit complementary data sets;they also involved different technical issues in terms of experimental conditions,snake manipulation,or processing *** tracking provided accurate data that can be used to calibrate other *** capture posed technical difficulties but can provide limited 3D *** pose estimation required deep learning(thus time)but was efficient to extract the data under various experimental ***,automatic video processing was particularly efficient to extract a wide range of data useful for both biology and robotics but required a specific experimental setting.

关键词： Locomotion Image processing Motion capture Kinematic analysis Snake robot Biomimicry DeepLabCut

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Chemistry and particle size distribution of respirable coal dust in underground mines in Central Eastern Europe

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International Journal of Coal Science & Technology 2022年第1期9卷 200-216页

作者： Pedro Trechera xavier Querol Robert Lah Diane Johnson Aleksander Wrana Ben Williamson Teresa Moreno Instituto de Diagnostico Ambiental Y Estudios del Agua Consejo Superior de Investigaciones Cientificas(IDAEACSIC)C/Jordi Girona 18‑2608034 BarcelonaSpain Department of Natural Resources and Environment Industrial and TIC Engineering(EMIT-UPC)08242 ManresaSpain Premogovnik Velenje d.d Partizanskacesta 783320 VelenjeSlovenia Camborne School of Mines University of ExeterPenrynCornwall TR109FEUK Department of Extraction Technology and Mining Support Central Mining Institute(GIG)40‑166 KatowicePlacGwarkow 1Poland

Despite international efforts to limit worker exposure to coal dust,it continues to impact the health of thousands of miners across *** coal dust has been studied to improve risk models and its control to protect *** size distribution analyses shows that using spraying systems to suppress airborne dusts can reduce particulate matter concentrations and that coals with higher ash yields produce finer *** are marked chemical differences between parent coals and relatively coarse deposited dusts(up to _(500)μm,DD_(500)).Enrichments in Ca,K,Ba,Se,Pb,Cr,Mo,Ni and especially As,Sn,Cu,Zn and Sb in the finest respirable dust fractions could originate from:(i)mechanical machinery wear;(ii)variations in coal mineralogy;(iii)coal fly ash used in shotcrete,and carbonates used to reduce the risk of *** enrichments in Ca in mine dusts are attributed to the use of such concrete,and elevated K to raised levels of phyllosilicate mineral *** concentrations are higher in the parent coal than in the DD_(500),probably due to relatively lower levels of organic *** concentrations of all elements observed in this study remained below occupational exposure limits.

关键词： Coal dust Deposited dust Respirable dust Particle size distribution Dust chemistry PM10 coal dust exposure

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Coupled models may help clarify the drivers of observed icesheet melt season shift:comments on Liang et al.(2023)

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National Science Review 2023年第9期10卷 247-247页

作者： xavier Fettweis Department of Geography University of Liège

A new machine-learning-based algorithm deriving melt extent from satellite data [1] has shown that the timing of the melt season over Antarctica has shifted between 1978 and *** later onset and end of the melt season result from complex interactions between the general circulation around Antarctica and sea-ice cover impacting heat exchanges between atmosphere and ocean around the ice sheet.

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