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Epidemiology and control of monkeypox outbreak in Houston,Texas

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Global Health Journal 2024年第3期8卷 133-139页

作者： Abisola M.Oladimeji Abayomi Joseph Afe Louis Carillo Courtney Hundley Yufang Zhang Stephen Long kirstin short Roger Sealy Janeana White David Persse Bureau of Epidemiology Houston Health DepartmentHoustonTX 77054USA

Background:In the 2022-2023 global outbreak,the United States and state of Texas recorded a total of 31,277 and 3,085 confirmed monkeypox(Mpox)cases respectively as of November *** study aims to investigate the demographic characteristics and risk factors of Mpox outbreak in Houston and document the epidemiologic control measures implemented with their ***:Houston Health Department received reports of suspected Mpox cases via electronic case reports and laboratory reports from healthcare providers within *** were then investigated and reclassified as either positive or negative using DNA polymerase chain reaction *** the reported cases received between May 2022 and January 2023 were included in this study using convenient sampling *** statistics using frequency distribution was used to analyze the sociodemographic,clinical features and travel history of the cases.A two-sided Chi-squared test was used to determine association between Mpox test results and risk factors with significant level set at Pking and contact tracing,vaccination,referrals and laboratory sample logistics support were implemented by the health ***:Out of the total of 1,625 suspected persons investigated for Mpox,724(44.6%)tested *** the 724 confirmed cases,male was 700(96.7%),females 20(2.8%),transgender male 1(0.1%),transgender female 3(0.4%).Age groups 30-39 years constituted 43.6%,18-29 years 27.4%,40-49 years 18.2%,50-59 years was 8%.Race distribution of positive cases was Whites 43.4%,African American 38.7%,Asian 1.4%.Risk factors with Pknown or suspected Mpox cases,human immunodeficiency virus *** as gay and bisexual were also statistically significant risk factors for Mpox inf

关键词： Monkeypox Mpox Risk.actors Control Tecovirimat Vaccination

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慢性化脓性汗腺炎基础上发生女阴鳞状细胞癌

世界核心医学期刊文摘（皮肤病学分册） 2005年第10期1卷 38-38页

作者： short k.a kalu G Mortimer P.S Higgins E.M 冯义国 Department of Dermatology King's College Hospital London SE5 9RS United Kingdom

We report a case of vulval squamous cell carcinoma (SCC)arising in chronic hidradenitis suppurativa (HS). The patient had a complex medical history including a 2 5-year-history of Crohns disease. In addition she had recently received immunosuppressive therapy for nephrotic syndrome secondary to membranous glomerulonephritis. A painful nodule was noted on the vulva that was clinically very suspicious of SCC. An excision biopsy confirmed the diagnosis. There are few publications in the English literature citing association between HS and the development of SCC. The first report in the English literature of vulval SCC arising in chronic HS was published in 1999. We wish to draw attention to the possibility that patients with HS may develop SCC in lesional skin. A painful lump or ulcer could easily be mistaken for an inflammatory lesion and a low threshold for biopsy is warranted. We suggest constant vigilance with regard to malignant change in ano-genital HS as the diagnosis can be difficult.

关键词：化脓性汗腺炎女阴鳞状细胞癌切除活检病变皮肤膜性肾小球肾炎痛性结节肾病综合征疼痛性英语文献

Optimised hybrid classification approach for rice leaf disease prediction with proposed texture features

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Journal of Control and Decision 2024年第1期11卷 84-97页

作者： Sak.amuri Sridevi k.kiran kumar Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramIndia

This paper aims to frame a new rice disease prediction model that included three major ***,median filtering(MF)is deployed during pre-processing and then‘proposed Fuzzy Means Clustering(FCM)based segmentation’is *** that,‘Discrete Wavelet Transform(DWT),Scale-Invariant Feature Transform(SIFT)and low-level features(colour and shape),Proposed local Binary Pattern(LBP)based features’are extracted that are classified via‘MultiLayer Perceptron(MLP)and Long short Term Memory(LSTM)’and predicted outcomes are *** exact prediction,this work intends to optimise the weights of LSTM using Inertia Weighted Salp Swarm Optimisation(IW-SSO)***,the development of IW-SSO method is established on varied metrics.

关键词： Rice disease improved fuzzy hybrid classifiers optimised LSTM IW-SSO algorithm

The magnetosheath at high spectral resolution

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Earth and Planetary Physics 2024年第1期8卷 234-246页

作者： k.D.küntz D.koutroumpa W.R.Dunn A.Foster F.S.Porter D.G.Sibeck B.Walsh The Henry A.Rowland Department of Physics and Astronomy Johns Hopkins University3701 San Martin DriveBaltimoreMD21218USA NASA Goddard Space Flight Center 8800 Greenbelt RoadGreenbeltMD 20771USA LATMOS-OVSQ CNRSUVSQ Paris-SaclaySorbonne Université11 Boulevard d’Alembert78280GuyancourtFrance Department of Physics and Astronomy University College LondonLondonUK The Centre for Planetary Science at UCL/Birkbeck Gower StreetLondon WC1E 6BTUK Center for Astrophysics Harvard University&Smithsonian Institution60 Garden StreetCambridgeMA 02138USA Center for Space Physics Boston University110 Cummington MallBostonMAUSA

While we eagerly anticipate SMILE’s(Solar wind Magnetosphere Ionosphere Link Explorer)unprecedented X-ray observations of the Earth’s magnetosheath and the initiation of a new era of magnetospheric research,it seems appropriate to look.ahead to the abilities of the next generation of astrophysics *** these,the Line Emission Mapper(LEM),a large aperture micro-calorimeter based mission,is currently planned to be able to observe the magnetosheath at high spectral resolution(~2 eV).With a field of view of~30′,LEM will allow higher spatial resolution and higher cadence measurement of the motion of a very small portion of the magnetopause over relatively short periods of time(multiple hours),complementing SMILE’s global ***’s strength is its spectral *** will be able to measure the abundance of a broad range of elements and ionization states,many of which are inaccessible to current in situ instruments,and will be able to separate the emission from the magnetosheath from the emission from the cosmic X-ray background using the difference in their relative velocities.

关键词： magnetosheath charge exchange solar wind abundances

An Efficient Long short-TermMemory and Gated Recurrent Unit Based Smart Vessel Trajectory Prediction Using Automatic Identification System Data

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Computers, Materials and Continua 2024年第1期81卷 1789-1808页

作者： Zaman U. k.an J. Lee E. Hussain S. Balobaid A.S. Aburasain R.Y. kim k. Department of Computer Engineering Chungnam National University Daejeon 34134 South Korea Department of Environmental IT Engineering Chungnam National University Daejeon 34134 South Korea Autonomous Ship Research Center Samsung Heavy Industries Daejeon 34051 South Korea ICAROS Center (PRISMA Lab) University of Naples Federico II Naples 80131 Italy Department of Computer Science College of Computer Science and Information Technology Jazan University Jazan 45142 Saudi Arabia

Maritime transportation, a cornerstone of global trade, faces increasing safety challenges due to growing sea traffic volumes. This study proposes a novel approach to vessel trajectory prediction utilizing Automatic Identification System (AIS) data and advanced deep learning models, including Long short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional LSTM (DBLSTM), Simple Recurrent Neural Network (SimpleRNN), and kalman Filtering. The research implemented rigorous AIS data preprocessing, encompassing record deduplication, noise elimination, stationary simplification, and removal of insignificant trajectories. Models were trained using key navigational parameters: latitude, longitude, speed, and heading. Spatiotemporal aware processing through trajectory segmentation and topological data analysis (TDA)was employed to capture dynamic *** using a three-month AIS dataset demonstrated significant improvements in prediction accuracy. The GRU model exhibited superior performance, achieving training losses of 0.0020 (Mean Squared Error, MSE) and 0.0334 (Mean Absolute Error, MAE), with validation losses of 0.0708 (MSE) and 0.1720 (MAE). The LSTM model showed comparable efficacy, with training losses of 0.0011 (MSE) and 0.0258 (MAE), and validation losses of 0.2290 (MSE) and 0.2652 (MAE). Both models demonstrated reductions in training and validation losses, measured by MAE, MSE, Average Displacement Error (ADE), and Final Displacement Error (FDE). This research underscores the potential of advanced deep learning models in enhancing maritime safety through more accurate trajectory predictions, contributing significantly to the development of robust, intelligent navigation systems for the maritime industry. © 2024 The Authors. Published by Tech Science Press.

关键词： AIS data deep learning GRU LSTM smart vessel Trajectory prediction

Prediction of rock fragmentation in a fiery seam of an open-pit coal mine in India

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 2879-2893页

作者： Mukul Sharma Bhanwar Singh Choudhary Autar k.Raina Manoj k.andelwal Saurav Rukhiyar Department of Mining Engineering Indian Institute of Technology(ISM)Dhanbad826004India CSIR-Central Institute of Mining and Fuel Research Nagpur Research Center(Mining Technology)Nagpur440006India Institute of Innovation Science and SustainabilityFederation University AustraliaBallaratVIC3350Australia

Spontaneous combustion of coal increases the temperature in adjoining overburden strata of coal seams and poses a challenge when loading *** condition,known as hot-hole blasting,is dangerous due to the increased possibility of premature explosions in loaded ***,it is crucial to load the blastholes with an appropriate amount of explosives within a short period to avoid premature detonation caused by high temperatures of ***,it will help achieve the desired fragment *** study tried to ascertain the most influencial variables of mean fragment size and their optimum values adopted for blasting in a fiery *** on blast design,rock mass,and fragmentation of 100 blasts in fiery seams of a coal mine were collected and used to develop mean fragmentation prediction models using soft computational *** coefficient of determination(R^(2)),root mean square error(RMSE),mean absolute error(MAE),mean square error(MSE),variance account for(VAF)and coefficient of efficiency in percentage(CE)were calculated to validate the *** indicates that the random forest algorithm(RFA)outperforms the artificial neural network.aNN),response surface method(RSM),and decision tree(DT).The values of R^(2),RMSE,MAE,MSE,VAF,and CE for RFA are 0.94,0.034,0.027,0.001,93.58,and 93.01,*** parametric sensitivity analyses(MPSAs)of the input variables showed that the Schmidt hammer rebound number and spacing-to-burden ratio are the most influencial variables for the blast fragment *** analysis was finally used to define the best blast design variables to achieve optimum fragment size from *** optimum factor values for RFA of S/B,ld/B and ls/ld are 1.03,1.85 and 0.7,respectively.

关键词： Fiery seam Rock fragmentation Response Surface Method(RSM) Artificial Neural Network.aNN) Random Forest Algorithm(RFA) Multiple Parametric Sensitivity Analysis (MPSA)

Scoring microvascular invasion in hepatocellular carcinoma:are we meeting the grade?

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Hepatobiliary Surgery and Nutrition 2024年第1期13卷 184-187页

作者： Derek J.Erstad kenneth k.Tanabe Division of Surgical Oncology Baylor College of MedicineHoustonTXUSA Division of Gastrointestinal and Oncologic Surgery Harvard Medical School and Massachusetts General HospitalBostonMAUSA

Hepatocellular carcinoma(HCC)is the second leading cause of cancer-related mortality and has rising global incidence(1).A perplexing aspect of this disease is the high rate of recurrence(50-70%)after curative-intent,margin negative surgical resection(2).While de novo HCC arising from baseline chronic liver injury is a driver of late recurrences,most recurrences occur over a short interval and are thought to be spread from the index malignancy.

关键词： Microvascular invasion(MVI) hepatocellular carcinoma(HCC) hepatectomy

Structural Analysis for Qazzaz Metamorphic Core Complex,Northwestern Arabian Shield,Saudi Arabia

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Acta Geologica Sinica(English Edition) 2024年第5期98卷 1187-1201页

作者： Mansour H.AL-HASHIM Osama M.k.kASSEM Department of Geology and Geophysics College of ScienceKing Saud University11451 RiyadhSaudi Arabia Department of Geology National Research CenterCairoEgypt

Identifying deformational mechanisms and associated structures at various scales,ranging from regional-scale structures to microscopic fabric,is crucial for the assessment of tectonic ***-three samples were taken from the Qazzaz metamorphic core complex to estimate the finite strain for felsic and mafic *** samples included gneisses rocks,monzogranite,and metavolcano-sedimentary rocks for both the Thalbah and Bayda *** the Rf/j and Fry methods,the axial ratios(XZ)range about 2.20 to 7.10 and 1.90 to 9.10,*** various rock units,the strain measurements show moderate to highly *** of the observed samples show shallow WNW dipping along a N to WNW trend of finite strain(X).The short axes(Z)based to be subvertical foliation related with a subhorizontal *** results demonstrate that contacts generated at semi-brittle to ductile deformation and that the strain of magnitude has the same value for different lithologic *** concluded that nappe generation in orogens results from pure shear deformation.

关键词： Finite strain metamorphic core complex Qazzaz area Saudi Arabia

Electricity demand forecasting for decentralised energy management

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能源与人工环境(英文) 2020年第2期1卷 178-186页

作者： Sean Williams Michael short School of Computing Engineering&Digital TechnologiesTeesside UniversityTS13BXUK

The world is experiencing a fourth industrial *** development of technologies is advancing smart infrastructure *** observe decarbonisation,digitalisation and decentralisation as the main drivers for *** electrical power systems a downturn of centralised conventional fossil fuel fired power plants and increased proportion of distributed power generation adds to the already troublesome outlook for op-erators of low-inertia energy *** the absence of reliable real-time demand forecasting measures,effective decentralised demand-side energy planning is often *** this work we formulate a simple yet highly effective lumped model for forecasting the rate at which electricity is *** methodology presented focuses on the potential adoption by a regional electricity network operator with inadequate real-time energy data who requires knowledge of the wider aggregated future rate of energy ***,contributing to a reduction in the demand of state-owned generation power *** forecasting session is constructed initially through analysis of a chronological sequence of discrete *** demand data shows behaviour that allows the use of dimensionality reduction *** with piecewise interpolation an electricity demand forecasting methodology is *** of short-term forecasting problems provide credible predictions for energy *** for medium-term forecasts that extend beyond 6-months are also very *** forecasting method provides a way to advance a novel decentralised informatics,optimisa-tion and control framework for small island power systems or distributed grid-edge systems as part of an evolving demand response service.

关键词： Demand response Decentralised Grid edge Time series forecasting