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Strongyloides stercoralis in an immunocompetent adult:An unexpected cause of weight lost

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Case Reports in Clinical Medicine 2013年第7期2卷 427-431页

作者： Lia Marques andre rodrigues Elisa Vedes Dores Marques Servico de Medicina III Hospital de Pulido ValenteCentro Hospitalar Lisboa NorteLisboa Unidade de Cuidados Intensivos do Hospital da Luz Lisboa

Strongyloides stercoralis infects at least 100 million humans worldwide each year, but its prevalence is underestimated. It is endemic in hot and humid climates as well as resource poor countries with inadequate sanitary conditions. The rise of international travel and immigration has a positive impact in strongyloidiasis. Due to its unique auto infection life-cycle, Strongyloides may lead to chronic infections remaining undetected for decades. Strongyloidiasis is most often asymptomatic but it has a wide range of clinical presentations. The two most severe forms of strongyloidiasis are hyperinfection and disseminated syndromes. These occur most often in patients with impaired cell mediated immunity. A 42-year-old immunocompetent man presented with chronic watery diarrhea, malaise, upper abdominal pain, anorexia and weight lost. Strongyloides stercoralis was identified in stool samples and duodenal biopsy. The patient was successfully treated with albendazole. The authors report a case of strongyloidiasis hyperinfection in an immunocompetent host 20 years away from an endemic area and make a literature review.

关键词： Strongyloides stercoralis Immunocompetent Hyperinfection

Gangrenous Cholecystitis with Atypical Presentation in an Elderly Diabetic Woman

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Case Reports in Clinical Medicine 2014年第9期3卷 503-507页

作者： Vera Clerigo Cláudia Rocha andre rodrigues Lígia Fernandes Dora Sargento Gloria Silva Servico de Medicina III Hospital Pulido ValenteCentro Hospitalar Lisboa NorteLisboaPortugal

In elderly patients, numerous factors subsidize the diagnostic challenge and high incidence of complications in this specific population, taking gangrenous cholecystitis as a critical example. The aim of this work is to report an unusual case of gangrenous choleystitis in an elderly diabetic women and its atypical clinical presentation. A 79-year-old female patient came to our observation;her medical history showed nausea and vomiting of about 2 hours which rapidly ended with symptomatic therapy, without recurrence, and a 3-week history of intermittent fever associated with productive cough. No abdominal discomfort was declared. Physical examination of the abdomen was negative. Laboratory analysis revealed leukocytosis with the remaining criteria within the normal range. After 2 days, she started with a mildabdominal pain in the epigastric region that rapidly progressed to the right upper quadrant, right flank and right iliac fossa, without nausea, vomiting or fever. Abdominal computer tomography findings revealed thickness of the gall-bladder and important densification of the vascular bed. Acute cholecystitis was diagnosed. The patient was then submitted to a laparoscopic cholecystectomy under general anaesthesia with findings suggestive of gangrenous acute cholecystitis confirmed by histologic examination of the specimen. Delays in diagnosing acute cholecystitis in specific populations, such as elderly diabetics, result in a higher prevalence of morbidity and mortality due to potentially serious complications as gangrenous cholecystitis. Consequently, the diagnosis should be measured and investigated promptly in order to prevent poor outcomes.

关键词： Diabetes Mellitus Elderly Gangrenous Acute Cholecystitis

Distant cousins come to ABP1’s rescue

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Science China(Life Sciences) 2024年第1期67卷 219-220页

作者： andre Kuhn Dolf Weijers Laboratory of Biochemistry Wageningen UniversityStippeneng 46708WE Wageningenthe Netherlands

There are few plant processes that are not in one way or another influenced by the auxin signaling *** many roles auxin plays in plants have inspired a range of investigations towards understanding its mechanisms of *** recent years and decades,genetic analysis in the flowering plant Arabidopsis has been immensely successful in bringing a nuclear response mechanism to light(reviewed in Weijers and Wagner,2016).This system,the nuclear auxin pathway(NAP),acts by regulating gene expression,and when its components are mutated,growth and development is strongly disturbed(Weijers and Wagner,2016).

关键词： bringing disturbed Arabidopsis

Infective Endocarditis with Negative Cultures:A Defiant Diagnosis

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Case Reports in Clinical Medicine 2014年第8期3卷 460-464页

作者： Cláudia Rocha Vera Clérigo Lígia Fernandes andre rodrigues Dora Sargento Glória Silva Servico de Medicina III Hospital Pulido ValenteCentro Hospitalar Lisboa NorteLisboaPortugal

The diagnosis and management of blood culture-negative endocarditis constitute a real clinical challenge and a systemic approach is necessary for a successful outcome. The authors report a case of a female patient aged 26, with previous clinical history of valve disease and heart failure NYHA class II, with decompensation of co-morbidities associated with fever, productive cough, nonselective anorexia and unquantified weight loss with one month of evolution with negative blood cultures. Transesophageal echocardiography revealed the presence of severe pulmonary hypertension and mitral valve vegetations in the context of positive serology for Q fever. Herein, the authors report a case of blood culture-negative endocarditis and present a brief review on the management of this medical condition. We highlighted the diagnostic difficulties of blood culture-negative endocarditis and subacute clinical presentation, which sometimes present with fever of unknown origin and complaints of deterioration of cardiac function, thus creating a challenging differential diagnosis.

关键词： Coxiella burnetii Endocarditis Blood Culture-Negative Endocarditis

Foraminifera as Environmental Condition Indicators in Todos os Santos Bay(Bahia,Brazil)

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Open Journal of Ecology 2015年第7期5卷 326-342页

作者： Patricia P.B.Eichler andre Rosch rodrigues Evelyn da Rocha Mendes Pereira Beatriz Beck Eichler Alicia Kahn Helenice Vital Programa de Pos Graduacao em Geofisica e Geodinamica(PPGG) Laboratorio de Geologia e Geofisica Marinha e Monitoramento AmbientalCentro de Ciencias Exatas e da Terra da Universidade Federal do Rio Grande do Norte(GGEMMA-CCET-UFRN)Campus UniversitarioNatalBrazil Universidade do Sul de Santa Catarina UNISULPalhocaBrazil Chevron Energy Technology Company HoustonUSA Instituto Oceanografico da Universidade de Sao Paulo Sao PauloBrazil

The environmental quality of the marine area close to the Landulpho Alves Oil Refinery situated in Todosos Santos Bay (Bahia, Brazil) was assessed by statistical methods on foraminiferal assemblages, with species tolerant to low continental influence such as Ammonia tepida, Elphidium excavatum, Pseudononion atlanticum and Quinqueloculina spp., and to high organic matter such as Buliminella elegantissima and Bulimina marginata. We have found that Bolivina pulchella, Pseudononion atlanticum, Fursenkoina pontoni, Buliminella elegantissima, Bolivina striatula, Bulimina marginata, Quinqueloculina spp., Ammonia tepida, and Elphidium excavatum are opportunistic and tolerant to high levels of accumulated organic matter, and are associated to stations 6, 17, 18, 19, 21, 22, 23, 24, and 25, located mainly in the southern, outermost part of the Bay.

关键词： Foraminifera Marine Environmental Quality Organic Matter Eutrophication Continental Runoff Opportunistic

Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization

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Energy and AI 2024年第1期15卷 236-247页

作者： andre Adam Huazhen Fang Xianglin Li Department of Mechanical Engineering University of Kansas1530 W 15th St.Lawrence66045KSUSA Department of Mechanical Engineering and Materials Science Washington University in St.LouisOne Brookings DriveSt.Louis63130MOUSA

Topology optimization of heterogeneous structures can find significant use in a wide range of applications,and its fabrication has been made possible by recent advances in additive ***,the optimization procedure is computationally expensive,as each structural update requires the re-evaluation of the *** computational time is the major limiting factor in large-scale and complex structural *** this study,a convolutional neural network(CNN)model for predicting effective thermal conductivity inspired by the VGG networks is *** using 130,000 unique binary images,the model achieves high predictive ***,it shows a mean absolute percent error(MAPE)of 0.35%in testing when the thermal conductivity of the solid is ten times larger than the fluid,and when the thermal conductivities assigned are that of aluminum and water,the MAPE is 2.35%.The prediction time is 15 ms for a single image with 128×128 pixels,which is 3 to 5 orders of magnitude faster than a finite volume *** employed in topology optimization,the CNN retains a MAPE between 0.67%and 11.8%for different *** CNN model correctly predicts trends in effective thermal conductivity and improves the structure to close proximity of a theoretical maximum in all cases.

关键词： Machine learning Effective thermal conductivity Convolutional neural network VGG Numerical heat transfer Topology optimization

Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

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Neuroscience Bulletin 2024年第7期40卷 981-991页

作者： Haiyang Geng Pengfei Xu andre Aleman Shaozheng Qin Yue-Jia Luo State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Tianqiao and Chrissy Chen Institute for Translational ResearchShanghai 200040China Beijing Key Laboratory of Applied Experimental Psychology National Demonstration Center for Experimental Psychology Education(BNU)Faculty of PsychologyBeijing Normal UniversityBeijing 100875China Center for Neuroimaging Shenzhen Institute of NeuroscienceShenzhen 518107China University of Groningen Department of Biomedical Sciences of Cells and SystemsSection Cognitive NeuroscienceUniversity Medical Center GroningenGroningenThe Netherlands Institute for Neuropsychological Rehabilitation University of Health and Rehabilitation SciencesQingdao 266113China Shenzhen Key Laboratory of Affective and Social Neuroscience Magnetic Resonance ImagingCenter for Brain Disorders and Cognitive SciencesShenzhen UniversityShenzhen 518060China Chinese Institute for Brain Research Beijing 102206China

Emotion and executive control are often conceptualized as two distinct modes of human brain ***,however,is known about how the dynamic organization of large-scale functional brain networks that support flexible emotion processing and executive control,especially their *** amygdala and prefrontal systems have long been thought to play crucial roles in these *** advances in human neuroimaging studies have begun to delineate functional organization principles among the large-scale brain networks underlying emotion,executive control,and their ***,we propose a dynamic brain network model to account for interactive competition between emotion and executive control by reviewing recent resting-state and task-related neuroimaging studies using network-based *** this model,dynamic interactions among the executive control network,the salience network,the default mode network,and sensorimotor networks enable dynamic processes of emotion and support flexible executive control of multiple processes;neural oscillations across multiple frequency bands and the locus coeruleus−norepinephrine pathway serve as communicational mechanisms underlying dynamic synergy among large-scale functional brain *** model has important implications for understanding how the dynamic organization of complex brain systems and networks empowers flexible cognitive and affective functions.

关键词： Dynamic brain network Emotion Executive control Salience network Executive control network Default mode network

Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score(AICVD)

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Family Medicine and Community Health 2024年第S1期12卷 20-33页

作者： Shiv Kumar Jalepalli Prashant Gupta andre L A J Dekker Inigo Bermejo Sujoy Kar Apollo Hospitals HyderabadTelanganaIndia Azure Microsoft Research IndiaBengaluruIndia Department of Radiation Oncology(Maastro) Maastricht UniversityMaastrichtNetherlands

Objective Cardiovascular diseases(CVD)are one of the most prevalent diseases in India amounting for nearly 30%of total deaths.A dearth of research on CVD risk scores in Indian population,limited performance of conventional risk scores and inability to reproduce the initial accuracies in randomised clinical trials has led to this study on large-scale patient *** objective is to develop an Artificial Intelligence-based Risk Score(AICVD)to predict CVD event(eg,acute myocardial infarction/acute coronary syndrome)in the next 10 years and compare the model with the Framingham Heart Risk Score(FHRS)and *** Our study included 31599 participants aged 18–91 years from 2009 to 2018 in six Apollo Hospitals in India.A multistep risk factors selection process using Spearman correlation coefficient and propensity score matching yielded 21 risk factors.A deep learning hazards model was built on risk factors to predict event occurrence(classification)and time to event(hazards model)using multilayered neural ***,the model was validated with independent retrospective cohorts of participants from India and the Netherlands and compared with FHRS and *** The deep learning hazards model had a good performance(area under the curve(AUC)0.853).Validation and comparative results showed AUCs between 0.84 and 0.92 with better positive likelihood ratio(AICVD−6.16 to FHRS−2.24 and QRisk3−1.16)and accuracy(AICVD−80.15%to FHRS 59.71%and QRisk351.57%).In the Netherlands cohort,AICVD also outperformed the Framingham Heart Risk Model(AUC−0.737 vs 0.707).Conclusions This study concludes that the novel AI-based CVD Risk Score has a higher predictive performance for cardiac events than conventional risk scores in Indian population.

关键词： AICVD Cardiovascular acute

Optimal Sizing and Power Losses Reduction of Photovoltaic Systems Using PVsyst Software

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Journal of Power and Energy Engineering 2024年第7期12卷 23-38页

作者： andre Boussaibo Armel Duvalier Pene Kitmo Institute of Technology University of Ngaoundere Ngaoundere Cameroon National Advanced School of Engineering of Maroua University of Maroua Maroua Cameroon

This paper presents a method for optimizing a grid-connected photovoltaic system through an LCL filter. An algorithm based on particle swarm optimization (PSO) is used to determine the number of batteries, the number of panels in series and in parallel, as well as to evaluate the joule losses due to cable heating and the switching losses of the multilevel inverters. This system is applied to a village named YAGOUA, located in the far north of Cameroon. The evaluation of the Joule effect and the switching losses as well as the regulation of the voltage level at the point of common coupling (PCC) are carried out in PVsyst and Matlab software, then at IEEE 33 bus. This algorithm reduced the Joule losses to 1.2% and the switching losses to 2.2%. A power of 210.4 MWh is produced, to be injected in the electrical network via an LCL filter. The THD calculation gave a rate of 3.015% in accordance with the 519 standards. Synchronization through the Phase Locked Loop (PLL) is performed. After the power was injected into the grid, the voltage and current remained in phase, showing the power factor correction and the efficiency of the filter. According to NASA meteorological data, the locality of YAGOUA gives the global solar irradiation forecast of 6.8 kW/m2.

关键词： Five Level Inverter LCL Filter MPPT Power Losses PVsyst