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Serological profiling of Crohn’s disease and ulcerative colitis patients reveals anti-microbial antibody signatures

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World Journal of Gastroenterology 2022年第30期28卷 4089-4101页

作者： Mahasish Shome Lusheng Song Stacy Williams Yunro Chung vel murugan Jin G Park William Faubion Shabana F Pasha Jonathan A Leighton Joshua LaBaer Ji Qiu Virginia G.Piper Center for Personalized Diagnostics Biodesign InstituteArizona State UniversityTempeAZ 85281United States Department of Internal Medicine Mayo ClinicRochesterMN 55902United States Department of Internal Medicine Division of Gastroenterology and HepatologyMayo Clinic ArizonaScottsdaleAZ 85259United States Division of Gastroenterology Mayo Clinic School of MedicineScottsdaleAZ 85259United States

BACKGROUND The healthcare burden of inflammatory bowel disease(IBD)is rising globally and there are limited non-invasive biomarkers for accurate and early *** To understand the important role that intestinal microbiota play in IBD pathogenesis and identify anti-microbial antibody signatures that benefit clinical management of IBD *** We performed serological profiling of 100 Crohn’s disease(CD)patients,100 ulcerative colitis(UC)patients and 100 healthy controls against 1173 bacterial and 397 viral proteins from 50 bacteria and 33 viruses on protein *** study subjects were randomly divided into discovery(n=150)and validation(n=150)*** analysis was performed using R *** Anti-bacterial antibody responses showed greater differential prevalence among the three subject groups than anti-viral antibody *** identified novel antibodies against the antigens of Bacteroidetes vulgatus(BVU_0562)and Streptococcus pneumoniae(SP_1992)showing higher prevalence in CD patients relative to healthy *** also identified antibodies against the antigen of Streptococcus pyogenes(SPy_2009)showing higher prevalence in healthy controls relative to UC *** these novel antibodies,we built biomarker panels with area under the curve(AUC)of 0.81,0.87,and 0.82 distinguishing CD vs control,UC vs control,and CD vs UC,*** analysis revealed that penetrating CD behavior,colonic CD location,CD patients with a history of surgery,and extensive UC exhibited highest antibody prevalence among all *** demonstrated that autoantibodies and anti-microbial antibodies in CD patients had minimal *** We have identified antibody signatures for CD and UC using a comprehensive analysis of antimicrobial antibody response in *** antibodies and the source microorganisms of their target antigens improve our understanding of the role of specific microorganisms in IBD pathogenesis and,after f

关键词： Inflammatory bowel disease Anti-microbial antibody Protein microarray Crohn’s disease Ulcerative colitis Gut microbiome

Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 484-490页

作者： Sergio velázquez Medina Ulises Portero Ajenjo Department of Electronics and Automatics Engineering Universidad de Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain School of Industrial and Civil Engineering University of Las Palmas de Gran CanariaCampus de Tafira s/n35017 Las Palmas de Gran CanariaCanary IslandsSpain

Due to the low dispatchability of wind power,the massive integration of this energy source in power systems requires short-term and very short-term wind power output forecasting models to be as efficient and stable as possible.A study is conducted in the present paper of potential improvements to the performance of artificial neural network(ANN)models in terms of efficiency and ***,current ANN models have been developed by considering exclusively the meteorological information of the wind farm reference station,in addition to selecting a fixed number of time periods prior to the *** this respect,new ANN models are proposed in this paper,which are developed by:varying the number of prior 1-h periods(periods prior to the forecasting hour)chosen for the input layer parameters;and/or incorporating in the input layer data from a second weather station in addition to the wind farm reference *** has been found that the model performance is always improved when data from a second weather station are *** mean absolute relative error(MARE)of the new models is reduced by up to 7.5%.Furthermore,the longer the forecasting horizon,the greater the degree of improvement.

关键词： Artificial neural networks(ANN) wind power forecasting model performance wind power output

Regeneration of neurotransmission transcriptome in a model of epileptic encephalopathy after antiinflammatory treatment

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Neural Regeneration Research 2018年第10期13卷 1715-1718页

作者： Dumitru A.Iacobas Libor velísek Center for Computational Systems Biology Prairie View AM University Prairie View TX USA D.P.Purpura Department of Neuroscience Albert Einstein College of MedicineNew York NY USA Department of Cell Biology & Anatomy New York Medical CollegeValhalla NY USA Department of Neurology New York Medical CollegeValhalla NY USA Department of Pediatrics New York Medical CollegeValhalla NY USA

Inflammation is an established etiopathogenesis factor of infantile spasms（IS）, a therapy-resistant epileptic syndrome of infancy. We investigated the IS-associated transcriptomic alterations of neurotransmission in rat hypothalamic arcuate nucleus, how they are corrected by antiinflamatory treatments and whether there are sex differences. IS was triggered by repeated intraperitoneal administration of N-methyl-D-aspartic acid following anti-inflammatory treatment（adreno-cortico-tropic-hormone（ACTH） or PMX53）or normal saline vehicle to prenatally exposed to betamethasone young rats. We found that treatments with both ACTH and PMX53 resulted in substantial recovery of the genomic fabrics of all types of synaptic transmission altered by IS. While ACTH represents the first line of treatment for IS, the even higher efficiency of PMX53（an antagonist of the complement C5 a receptor） in restoring the normal transcriptome was not expected. In addition to the childhood epilepsy, the recovery of the neurotransmission genomic fabrics by PMX53 also gives hope for the autism spectrum disorders that share a high comorbidity with IS. Our results revealed significant sex dichotomy in both IS-associated transcriptomic alterations（males more affected） and in the efficiency of PMX53 anti-inflammatory treatment（better for males）. Our data further suggest that anti-inflammatory treatments correcting alterations in the inflammatory transcriptome may become successful therapies for refractory epilepsies.

关键词： adreno-cortico-tropic-hormone autism cholinergic transmission hypothalamus infantile spasms microarrays PMX53 sex differences

Tropical Cyclones in Nicaragua:Historical Impact and Contemporary Exposure to Disaster Risk

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International Journal of Disaster Risk Science 2024年第4期15卷 579-593页

作者： Gema velásquez‑Espinoza Irasema Alcántara‑Ayala Faculty of Sciences and Engineering National Autonomous University of Nicaragua14172 Unan-ManaguaNicaragua Postgraduate Programme in Geography National Autonomous University of Mexico(UNAM)04510 Mexico CityMexico Institute of Geography National Autonomous University of Mexico(UNAM)04510 Mexico CityMexico

In tropical regions such as Nicaragua, the population's vulnerability to hazards has escalated in recent decades. This increase in vulnerability has led to a surge in disasters, particularly those triggered by intense hurricanes. The implications at the national level are still poorly understood. The aim of this article has, therefore, been two-fold. First, to present a historical review of the direct effects of tropical cyclones on society in Nicaragua from 1852 to 2020. Second, to analyze the statistical probabilities of future hurricane-spawned high winds over Nicaragua. Data on cyclones hitting Nicaragua's coasts were collected, including direct effects, wind speed, pressure, category, direction, and time of landfall. A database was created to classify intensity based on wind speed and frequency. Between 1852 and 2020, Nicaragua experienced 58 tropical cyclones with varying degrees of intensity between September and November. The trajectories of six past hurricanes were considered here regarding the areas that might have been under potential threat. Three zones of influence were delimited along each trajectory according to three wind intensities and the trajectory of these hurricanes. The consequent exposure of each Nicaraguan department and autonomous region was established. The findings are essential to delimitating priority areas for attention regarding the likely impact of tropical cyclones, mainly category 4 and 5 hurricanes. Public officials and the general public can use these data to identify the pressing need for enhanced strategies to mitigate disaster risk and avoid potential disasters.

关键词： Exposure Historical impact Hurricanes Nicaragua Tropical cyclones Vulnerability

Genetic grey wolf optimization and C-mixture for collaborative data publishing

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第6期9卷 188-210页

作者： Yogesh R.Kulkarni T.Senthil murugan vel Tech University Avadi Chennai 600062Tamil NaduIndia Department of Computer Science and Engineering vel Tech University Chennai 600062 Tamil NaduIndia

Data publishing is an area of interest in present day technology that has gained huge attention of researchers and *** concept of data publishing faces a lot of security issues,indicating that when any trusted organization provides data to a third party,personal information need not be ***,to maintain the privacy of the data,this paper proposes an algorithm for privacy preserved collaborative data publishing using the Genetic Grey Wolf Optimizer(Genetic GWO)algorithm for which a C-mixture parameter is *** C-mixture parameter enhances the privacy of the data if the data does not satisfy the privacy constraints,such as the k-anonymity,l-diversity and the m-privacy.A minimum fitness value is maintained that depends on the minimum value of the generalized information loss and the minimum value of the average equivalence class *** minimum value of the fitness ensures the maximum utility and the maximum *** was carried out using the adult dataset,and the proposed Genetic GWO outperformed the existing methods in terms of the generalized information loss and the average equivalence class metric and achieved minimum values at a rate of 0.402 and 0.9,respectively.

关键词： k-Anonymity l-diversity m-privacy C-mixture Genetic GWO.

Memory and machine attributes-based profiling and elliptic curve cryptography-based multi-level authentication for the security of Internet of Things

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 241-256页

作者： Vivek V.Jog Senthil murugan,T. Department of Computer Science and Engineering Vel Tech Dr.RR&Dr.SR Technical UniversityChennaiIndia

Purpose-Due to the connectivity of the multiple devices and the systems on the same network,rapid development has become possible in Internet of Things(IoTs)for the last ***,IoT is mostly affected with severe security challenges due to the potential vulnerabilities happened through the multiple connectivity of sensors,devices and *** order to handle the security challenges,literature presents a handful of security protocols for *** purpose of this paper is to present a threat profiling and elliptic curve cryptography(ECC)-based mutual and multi-level authentication for the security of *** work contains two security attributes like memory and machine-related attributes for maintaining the profile ***,the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed ***,three entities like,IoT device,server and authorization centre(AC)performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted ***,DPWSim is utilized for simulation of IoT and verification of proposed protocol to show that the protocol is secure against passive and active ***/methodology/approach-In this work,the authors have presented a threat profiling and ECC-based mutual and multi-level authentication for the security of *** work contains two security attributes like memory and machine-related attributes for maintaining the profile ***,the profile table stores the value after encrypting the value with ECC to avoid storage resilience using the proposed ***,three entities like,IoT device,server and AC performs the verification based on seven levels mutually to provide the resilience against most of the widely accepted ***-DPWSim is utilized for simulation of IoT and verification of the proposed protocol to show that this protocol is secure against passive and active ***,at

关键词： Security Authentication Internet of Things(IoT) Manufacturing systems Networked control DNA computing Elliptic curve cryptography(ECC) Profile table

Novel kinetic model for the simulation analysis of the butanol productivity of Clostridium acetobutylicum ATCC 824 under different reactor configurations

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Chinese Journal of Chemical Engineering 2018年第4期26卷 812-821页

作者： Hugo I.velázquez-Sánchez Ricardo Aguilar-López Center of Research and Advances Studies of the National Polytechnic Institute (CINVESTAV) Biotechnology and Bioengineering DepartmentAv. National Polytechnic Institute 2508 Col. San Pedro Zacatenco

Acetone–butanol–ethanol(ABE)fermentation process can be exploited for the generation of butanol as biofuel,however it does need to overcome its low volumetric solvent productivity before it can commercially compete with fossil fuel *** this regard,mathematical modelling and simulation analysis are tools that can serve as the base for process engineering development of biological *** this work,a novel phenomenological kinetic model of Clostridium acetobutylicum ATCC 824 was considered as a benchmark system to evaluate the behaviour of an ABE fermentation under different process configurations using both free and immobilized cells:single stage batch operation,fed-batch,single stage Continuous Stirred Tank Reactor(CSTR)and multistage CSTRs with and without biomass *** proposed model achieved a linear correlation index r^2=0.9952 and r^2=0.9710 over experimental data for free and immobilized cells *** predicted maximum butanol concentration and productivity obtained were 13.08 g·L^(-1)and 1.9620 g·L^(-1)·h^(-1)respectively,which represents an increase of 1.01%and 990%versus the currently developed industrial scale process reported currently into the *** results provide a reliable platform for the design and optimization of the ABE fermentation system and showcase the adequate predictive nature of the proposed model.

关键词： Biofuels Butanol Clostridium acetobutylicum Mathematical modelling Process configurations

Sailboat navigation control system based on spiking neural networks

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Control Theory and Technology 2023年第4期21卷 489-504页

作者： Nelson Santiago Giraldo Sebastián Isaza Ricardo Andrés velásquez Department of Electronics and Telecommunications Engineering University of Antioquia67 stMedellin050010AntioquiaColombia

In this paper,we presented the development of a navigation control system for a sailboat based on spiking neural networks(SNN).Our inspiration for this choice of network lies in their potential to achieve fast and low-energy computing on specialized *** train our system,we use the modulated spike time-dependent plasticity reinforcement learning rule and a simulation environment based on the BindsNET library and USVSim *** objective was to develop a spiking neural network-based control systems that can learn policies allowing sailboats to navigate between two points by following a straight line or performing tacking and gybing strategies,depending on the sailing scenario *** presented the mathematical definition of the problem,the operation scheme of the simulation environment,the spiking neural network controllers,and the control strategy *** a result,we obtained 425 SNN-based controllers that completed the proposed navigation task,indicating that the simulation environment and the implemented control strategy work ***,we compare the behavior of our best controller with other algorithms and present some possible strategies to improve its performance.

关键词： Sailboat Control Spiking neuron Reinforcement learning BindsNet USVSim

Improved Interleaved Single-Ended Primary Inductor-Converter forSingle-Phase Grid-Connected System

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Intelligent Automation & Soft Computing 2023年第3期35卷 3459-3478页

作者： T.J.Thomas Thangam K.Muthu vel Noorul Islam Centre for Higher Education Nagarkovil629180TamilnaduIndia

The generation of electricity based on renewable energy sources,parti-cularly Photovoltaic(PV)system has been greatly increased and it is simply insti-gated for both domestic and commercial *** power generated from the PV system is erratic and hence there is a need for an efﬁcient converter to perform the extraction of maximum *** improved interleaved Single-ended Primary Inductor-Converter(SEPIC)converter is employed in proposed work to extricate most of power from renewable *** proposed converter minimizes ripples,reduces electromagnetic interference due toﬁlter elements and the contin-uous input current improves the power output of PV panel.A Crow Search Algo-rithm(CSA)based Proportional Integral(PI)controller is utilized for controlling the converter switches effectively by optimizing the parameters of PI *** optimized PI controller reduces ripples present in Direct Current(DC)vol-tage,maintains constant voltage at proposed converter output and reduces over-shoots with minimum settling and rise *** voltage is given to single phase grid via 1�Voltage Source Inverter(VSI).The command pulses of 1�VSI are produced by simple PI *** response of the proposed converter is thus improved with less input *** implementing CSA based PI the efﬁciency of proposed converter obtained is 96%and the Total Harmonic Distor-tion(THD)is found to be 2:4%.The dynamics and closed loop operation is designed and modeled using MATLAB Simulink tool and its behavior is performed.

关键词： Improved interleaved DC-DC SEPIC converter crow search algorithm PI controller voltage source inverter PV array single phase grid