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Celiac disease:diagnostic criteria in progress

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Cellular & Molecular Immunology 2011年第2期8卷 96-102页

作者： u Volta V Villanacci Department of Clinical Medicine St Orsola-Malpighi University HospitalBolognaItaly Department of Pathology Spedali CiviliBresciaItaly

until a few years ago,celiac disease(CD)was thought to be a rare food intolerance that was confined to childhood and characterized by severe malabsorption and flat intestinal ***,CD is regarded as an autoimmune disorder that is common in the general population(affecting 1 in 100 individuals),with possible onset at any age and with many possible *** identification of CD is challenging because it can begin not only with diarrhea and weight loss but also with atypical gastrointestinal(constipation and recurrent abdominal pain)and extra-intestinal symptoms(anemia,raised transaminases,osteoporosis,recurrent miscarriages,aphthous stomatitis and associated autoimmune disorders),or it could be completely *** the last 20 years,the diagnostic accuracy of serology for CD has progressively increased with the development of highly reliable tests,such as the detection of IgA tissue transglutaminase and antiendomysial and IgG antideamidated gliadin peptide *** routine use of antibody markers has allowed researchers to discover a very high number of‘borderline’cases,characterized by positive serology and mild intestinal lesions or normal small intestine architecture,which can be classified as potential ***,it is evident that the‘old celiac disease’with flat mucosa is only a part of the spectrum of *** is possible that serology could identify CD in its early stages,before the appearance of severe intestinal *** cases with a positive serology but with mild or absent intestinal lesions,the detection of HLA-DQ2 and HLA-DQ8 can help reinforce or exclude the diagnosis of gluten sensitivity.

关键词： celiac disease clinical presentation diagnostic criteria histology,genetics serology

Mitigate noisy data for smart IoT via GAN based machine unlearning

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Science China(Information Sciences) 2024年第3期67卷 62-78页

作者： Zhuo ma Yilong YANG Yang LIu Xinjing LIu Jianfeng ma School of Cyber Engineering Xidian University State Key Laboratory of Integrated Services Networks (ISN)

With the development of IoT applications, machine learning dramatically improves the utility of variable IoT systems such as autonomous driving. Although the pretrain-finetune framework can cope well with data heterogeneity in complex IoT scenarios, the data collected by sensors often contain unexpected noisy data, e.g., out-of-distribution(OOD) data, which leads to the reduced performance of fine-tuned models. To resolve the problem, this paper proposes Mu GAN, a method that can mitigate the side-effect of OOD data via the generative adversarial network(GAN)-based machine unlearning. Mu GAN follows a straightforward but effective idea to mitigate the performance loss caused by OOD data, i.e., “flashbacking” the model to the condition where OOD data are excluded from model training. To achieve the goal, we design an adversarial game, where a discriminator is trained to identify whether a sample belongs to the training set by observing the confidence score. Meanwhile, a generator(i.e., the target model) is updated to fool the discriminator into believing that the OOD data are not included in the training set but others do. The experimental results show that benefiting from the high unlearning rate(more than 90%) and retention rate(99%), Mu GAN succeeds in lowering the model performance degradation caused by OOD data from 5.88% to 0.8%.

关键词： machine unlearning generative adversarial network out of distribution data Internet of Thing neural network

Water mass characteristics in the western North Pacific based on a streamfunction projection

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Science China Earth Sciences 2015年第11期58卷 2067-2077页

作者： ma Xiao SuN Che Institute of Oceanology Chinese Academy of Sciences College of Earth Sciences University of Chinese Academy of Sciences

A streamfunction projection method called gravest empirical mode(GEM) is applied to the hydrographic section at 137°E to filter out eddy noises in the western North Pacific and derive quantitative ensemble-average water mass properties in the North Equatorial Current region. The GEM fields capture more than 80% of total property variances in the thermocline layer. The core layer structures of key water masses, including the North Pacific Tropical Water(NPTW) and the North Pacific Intermediate Water(NPIW), are examined with a definition of water mass boundary based on property gradient. It shows that a tongue of maximal root-mean-square(RMS) residual exists in the upper half of NPIW for all water properties. These subsurface RMS tongues appear to be close to sharp property gradients. It is the first time a GEM diagnosis is applied to nutrient data, which reveals a drastic difference of N/P reaction rate ratio above and below the maximal-nutrient core at 1250 m. Additionally, a GEM velocity reconstruction successfully produces the North Equatorial undercurrent(NEuC), demonstrating the stable thermal-wind nature of this newly-discovered current.

关键词： streamfunction projection gravest empirical mode water masses western North Pacific

Estimating thermohaline variability of the equatorial Pacific Ocean from satellite altimetry

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Science China Earth Sciences 2016年第11期59卷 2213-2222页

作者： SuN Che ma Xiao Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China National Laboratory for marine Science and Technology Qingdao 266071 China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China

The vertical thermohaline structure in the western equatorial Pacific is examined with a Gravest Empirical Mode(GEM)diagnosis of in-situ mooring measurements. The poor GEM performance in estimating deep thermohaline variability from satellite altimetry confirms a lack of vertical coherence in the equatorial ocean. Mooring observation reveals layered equatorial water with phase difference up to 6 months between thermocline and sub-thermocline variations. The disjointed layers reflect weak geostrophy and resemble pancake structures in non-rotating stratified turbulence. A coherency theorem is then proved, stating that traditional stationary GEM represents in-phase coherent structure and can not describe vertically out-of-phase variability. The fact that stationary GEM holds both spatial and temporal coherence makes it a unique tool to diagnose vertical coherent structure in geophysical flows. The study also develops a non-stationary GEM projection that captures more than 40% of the thermohaline variance in the equatorial deep water.

关键词： Equatorial Pacific TRITON buoys Satellite altimetry GEM Vertical coherence

On Existence of Entropy Solution for a Doubly Nonlinear Differential Equation with Lup>1up> -Data

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Journal of Applied mathematics and Physics 2023年第12期11卷 4092-4127页

作者： Safimba soma Mohamed Bance Département de mathématiques Unité de Recherche et de Formation en Sciences Exactes et Appliquées Université Joseph KI-ZERBO Ouagadougou Burkina Faso

We consider a class of doubly nonlinear history-dependent problems having a convection term and a pseudomonotone nonlinear diffusion operator associated an equation of the type ?ub>tub>(k * (b(v) - b(vub>0ub>))) - div(a(x,Dv) + F(v)) = f where the right hand side belongs to Lup>1up>. The kernel k belongs to the large class of PC kernels. In particular, the case of fractional time derivatives of order α ∈ (0,1) is included. Assuming b nondecreasing with Lup>1up>-data, we prove existence in the framework of entropy solutions. The approach adopted for the proof is based on a several step approximation method and by using a result in the case of a strictly increasing b.

关键词： Fractional Time Derivative Nonlinear Volterra Equation Doubly Nonlinear Entropy Solution

3D simulation of image-defined complex internal features using the numerical manifold method

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Science China(Technological Sciences) 2024年第4期67卷 1023-1039页

作者： Wu Jie ma GuoWei School of Civil and Transportation Engineering Hebei University of TechnologyTianjin 300401China Tianjin Key Laboratory for Prefabricated Building and Intelligent Construction Tianjin 300401China

The numerical simulation of internal features,such as inclusions and voids,is important to analyze their impact on the performance of composite ***,the complex geometries of internal features and the induced continuous-discontinuous(C-D)deformation fields are challenges to their numerical *** this study,a 3D approach using a simple mesh to simulate irregular internal geometries is developed for the first *** the help of a developed voxel crack model,image models that are efficient when recording complex geometries are directly imported into the *** reconstructions,which are usually labor-intensive,are excluded from this ***,using image models as the geometric input,image processing techniques are applied to detect material interfaces and develop contact ***,the C-D deformations of the complex internal features are directly calculated based on the numerical manifold *** accuracy and convergence of the developed3D approach are examined based on multiple *** 3D C-D simulation of sandstones with naturally formed complex microfeatures demonstrates the capability of the developed approach.

关键词： 3D continuous-discontinuous simulation image-based simulation complex internal features numerical manifold method voxel crack model structured mesh

Enantioselective assembly of multi-layer 3D chirality

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National Science Review 2020年第3期7卷 588-599页

作者： Guanzhao Wu Yangxue Liu Zhen Yang Tao Jiang Nandakumar Katakam Hossein Rouh Liulei ma Yao Tang Sultan Ahmed Anis u.rahman Hongen Huang Daniel unruh Guigen Li Institute of Chemistry and Bio Medical Sciences School of Chemistry and Chemical EngineeringNanjing University Department of Chemistry and Biochemistry Texas Tech University School of Medicine and Pharmacy Ocean University of China

The first enantioselective assembly of sandwich-shaped organo molecules has been achieved by conducting dual asymmetric Suzuki-Miyaura couplings and nine other reactions. This work also presents the first fully C-C anchored multi-layer 3 D chirality with optically pure enantiomers. As confirmed by X-ray diffraction analysis that this chiral framework is featured by a unique C2-symmetry in which a nearly parallel fashion consisting of three layers: top, middle and bottom aromatic rings. unlike the documented planar or axial chirality, the present chirality shows its top and bottom layers restrict each other from free rotation, i.e., this multi-layer 3 D chirality would not exist if either top or bottom layer is removed. Nearly all multi-layered compounds showed strong luminescence of different colors under uV irradiation, and several randomly selected samples displayed aggregation-induced emission(AIE) properties. This work is believed to have broad impacts on chemical, medicinal and material sciences including optoelectronic materials in future.

关键词： multi-layer 3D chirality organo sandwich chirality C2-symmetry multi-layered organic framework(M-LOF) architecture chirality aggregation-induced emission(AIE)

The concept of suAS/DL-based system for detecting and classifying abandoned small firearms

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Defence Technology（防务技术） 2023年第12期30卷 23-31页

作者： Jungmok ma Oleg A.Yakimenko Department of Defense Science Korea National Defense University(KNDU)Republic of Korea Department of Systems Engineering Naval Postgraduate School(NPS)USA

Military object detection and identification is a key capability in surveillance and *** is a major factor in warfare effectiveness and warfighter ***,portable,and rapidly deployable small unmanned aerial systems(s uAS)in conjunction with powerful deep learning(DL)based object detection models are expected to play an important role for this *** prove overall feasibility of this approach,this paper discusses some aspects of designing and testing of an automated detection system to locate and identify small firearms left at the training range or at the *** a system is envisioned to involve an s uAS equipped with a modern electro-optical(EO)sensor and relying on a trained convolutional neural network(CNN).Previous study by the authors devoted to finding projectiles on the ground revealed certain challenges such as small object size,changes in aspect ratio and image scale,motion blur,occlusion,and *** study attempts to deal with these challenges in a realistic operational scenario and go further by not only detecting different types of firearms but also classifying them into different *** study used a YOLOv2CNN(Res Net-50 backbone network)to train the model with ground truth data and demonstrated a high mean average precision(m AP)of 0.97 to detect and identify not only small pistols but also partially occluded rifles.

关键词： Small firearms Object detection Deep learning Small unmanned aerial systems

Bubble coalescence in interacting system of DNA molecules

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International Journal of Biomathematics 2024年第4期17卷 195-216页

作者： u.A.Rozikov V.I.Romanouskiy Institute of mathematics 9 Universitet Street100174 Tashkent uzbekistan AKFA university National Park StreetBarkamol MFY Mirzo-Ulugbek District111221 Tashkent uzbekistan National university of uzbekistan 4Universitet Street 100174 TashkentUzbekistan

We consider two models of interacting DNA molecules:First is(four parametric)bubble coalescence model in interacting DNAs(shortly:BCI-DNA).Second is(three parametric)bubble coalescence model in a condensed DNA molecules(shortly BCC-DNA).To study bubble coalescence thermodynamics of BCI-DNA and BCC-DNA models we use methods of statistical ***,we define Hamiltonian of each model and give their translation-invariant Gibbs measures(TIGMs).For the first model,we find parameters such that corresponding Hamiltonian has up to three TIGMs(three phases of system)biologically meaning existence of three states:“No bubble coalescence”,“Dominated soft zone”,“Bubble coalescence”.For the second model,we show that for any(admissible)parameters,this model has unique *** is a state where“No bubble coalescence”phasedominates.

关键词： DNA bubble configuration Cayley tree Gibbs measure Potts model