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New design solutions for low-power energy production in water pipe systems

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Water Science and Engineering 2009年第4期2卷 69-84页

作者： helena m.ramos Alexandre BORGA mariana SImO Department of Civil Engineering ISTTechnical University of Lisbon Department of Civil Engineering ISELInstitute Polytechnic of Lisbon

This study is the result of ongoing research for a European Union 7th Framework Program Project regarding energy converters for very low heads, and aims to analyze optimization of new cost-effective hydraulic turbine designs for possible implementation in water supply systems （WSSs） or in other pressurized water pipe infrastructures, such as irrigation, wastewater, or drainage systems. A new methodology is presented based on a theoretical, technical and economic analysis. Viability studies focused on small power values for different pipe systems were investigated. Detailed analyses of alternative typical volumetric energy converters were conducted on the basis of mathematical and physical fundamentals as well as computational fluid dynamics （CFD） associated with the interaction between the flow conditions and the system operation. Important constraints （e.g., size, stability, efficiency, and continuous steady flow conditions） can be identified and a search for alternative rotary yolumetric converters is being conducted. As promising cost-effective solutions for the coming years, adapted rotor-dynamic turbomachines and non-conventional axial propeller devices were analyzed based on the basic principles of pumps operating as turbines, as well as through an extensive comparison between simulations and experimental tests.

关键词： energy converter low-power energy water pipe system computational fluid dynamics (CFD) lab tests

COVID-19 vaccination produces exercise-responsive SARS-CoV-2 specific T-cells regardless of infection history

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Journal of Sport and Health Science 2024年第1期13卷 99-107页

作者： Kyle A.Smith Tiffany m.Zúñiga Forrest L.Baker helena Batatinha Charles R.Pedlar Shane C.Burgess michael P.Gustafson Emmanuel Katsanis Richard J.Simpson School of Nutritional Sciences and Wellness The University of ArizonaTucsonAZ 85721USA Department of Pediatrics The University of ArizonaTucsonAZ 85724USA Faculty of Sport Allied Health and Performance ScienceSt.Mary's UniversityTwickenham TW14SXUK Institute of Sport Exercise and Health University College LondonLondon WC1E 7HUUK Department of Animal and Comparative Biomedical Sciences The University of ArizonaTucsonAZ 85721USA The University of Arizona Cancer Center The University of ArizonaTucsonAZ 85719USA Laboratory medicine and Pathology Mayo Clinic ArizonaPhoenixAZ 85054USA Department of Immunobiology The University of ArizonaTucsonAZ 85724USA Department of medicine The University of ArizonaTucsonAZ 85724USA Department of Pathology The University of ArizonaTucsonAZ 85724USA

Background:The mobilization and redistribution of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)specific T-cells and neutralizing antibodies(nAbs)during exercise is purported to increase immune surveillance and protect against severe coronavirus disease 2019(COVID-19).We sought to determine if COVID-19 vaccination would elicit exercise-responsive SARS-CoV-2 T-cells and transiently alter nAb ***:Eighteen healthy participants completed a 20-min bout of graded cycling exercise before and/or after receiving a COVID-19 *** major leukocyte subtypes were enumerated before,during,and after exercise by flow cytometry,and immune responses to SARS-CoV-2 were determined using whole blood peptide stimulation assays,T-cell receptor(TCR)-βsequencing,and SARS-CoV-2 nAb ***:COVID-19 vaccination had no effect on the mobilization or egress of major leukocyte subsets in response to intensity-controlled graded ***,non-infected participants had a significantly reduced mobilization of CD4+and CD8+naive T-cells,as well as CD4+central memory T-cells,after vaccination(synthetic immunity group);this was not seen after vaccination in those with prior SARS-CoV-2 infection(hybrid immunity group).Acute exercise after vaccination robustly mobilized SARS-CoV-2 specific T-cells to blood in an intensity-dependent *** groups mobilized T-cells that reacted to spike protein;however,only the hybrid immunity group mobilized T-cells that reacted to membrane and nucleocapsid *** increased significantly during exercise only in the hybrid immunity ***:These data indicate that acute exercise mobilizes SARS-CoV-2 specific T-cells that recognize spike protein and increases the redistribution of nAbs in individuals with hybrid immunity.

关键词： Anti-viral COVID-19 Exercise immunology SARS-CoV-2 T-Cells Vaccine

Depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

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Computers, materials & Continua 2024年第2期78卷 2047-2066页

作者： muhammad Rizwan muhammad Faheem mushtaq maryam Rafiq Arif mehmood Isabel de la Torre Diez monica Gracia Villar helena Garay Imran Ashraf Department of Artificial Intelligence The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Information Technology Khwaja Fareed University of Engineering and ITRYKhan64200Pakistan Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalnagar63100Pakistan Department of Signal Theory and Communications and Telematic Engineering Unviersity of ValladolidPaseo de Belén 15Valladolid47011Spain Faculty of Social Science and Humanities Universidad Europea del Atlántico Isabel Torres 21Santander39011Spain Department of Project management Universidad Internacional IberoamericanaCampeche24560México Fundación Universitaria Internacional de Colombia Bogotá111611Colombia Universidad Internacional Iberoamericana AreciboPuerto Rico00613USA Universidade Internacional do Cuanza Cuito46703Angola Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541South Korea

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media *** study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the ***,an algorithm is developed to annotate the data into three depression classes:‘mild,’‘moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic *** baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the *** FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to ***,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual *** proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText *** proposed model better captures the contextual features of the relatively small sample class and aids in the detection of

关键词： Depression classification deep learning FastText machine learning

CDC7 inhibition impairs neuroendocrine transformation in lung and prostate tumors through mYC degradation

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Signal Transduction and Targeted Therapy 2024年第8期9卷 3519-3532页

作者： Alvaro Quintanal-Villalonga Kenta Kawasaki Esther Redin Fathema Uddin Swanand Rakhade Vidushi Durani Amin Sabet moniquetta Shafer Wouter R.Karthaus Samir Zaidi Yingqian A.Zhan Parvathy manoj Harsha Sridhar Dennis Kinyua Hong Zhong Barbara P.mello metamia Ciampricotti Umesh K.Bhanot Irina Linkov Juan Qiu Radhika A.Patel Colm morrsey Sanjoy mehta Jesse Barnes michael C.Haffner Nichlas D.Socci Richard P.Koche Elisa de Stanchina Sonia molina-Pinelo Sohrab Salehi helena A.Yu Joseph m.Chan Charles m.Rudin Department of medicine Thoracic Oncology ServiceMemorial Sloan Kettering Cancer CenterNew YorkNYUSA Cancer Biology and Genetics Program Sloan Kettering InstituteMemorial Sloan Kettering Cancer CenterNew YorkNYUSA Vagelos College of Physicians and Surgeons Columbia UniversityNew YorkNYUSA Weill Cornell Graduate School of medical Sciences Weill Cornell MedicineNew YorkNYUA Human Oncology and Pathogenesis Program Memorial Sloan Kettering Cancer CenterNew YorkNYUSA Center for Epigenetics Research Memorial Sloan Kettering Cancer CenterNew YorkNYUSA Pathology Core Facilty Department of Pathology and Laboratory MedicineMSKCCNew YorkNYUSA Antitumor Assessment Core Memorial Sloan Kettering Cancer CenterNew YorkNYUSA Divisionsof Human Biology and Clinical Research Fred Hutchinon Cancer CenterSeattleWAUSA Deparmentof Urology University of WashingtonSeattleWAUSA Gene Editing&Screening Core Facility memorial Sloan Kettering Cancer Center New YorkNYUSA Department of Laboratory medicine and Pathology University of WashingtonSeattleWAUSA Bioinfomatics CoreFacility Memorial Soan Kettering Cancer CenterNew YorkNYUSA Institute of Biomedicine of Seille(Bis) HURCSCUniversidad de SevillaSevilleSpain Computational Oncology Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer CenterNew YorkNYUSA Well Cornell medical College New York NYUSA Present address:Swiss Institute for Experimental Cancer Research(ISREC) School of Life SciencesEPFLLausanneSwitzerland

Neuroendocrine(NE)transformation is a mechanism of resistance to targeted therapy in lung and prostate adenocarcinomas leading to poor *** to date,even if patients at high risk of transformation can be identified by the occurrence of Tumor Protein P53(TP53)and Retinoblastoma Transcriptional Corepressor 1(RB1)mutations in their tumors,no therapeutic strategies are available to prevent or delay histological *** of the cell cycle kinase Cell Division Cycle 7(CDC7)occurred in tumors during the initial steps of NE transformation,already after TP53/RB1 co-inactivation,leading to induced sensitivity to the CDC7 inhibitor ***7 inhibition suppressed NE transdifferentiation and extended response to targeted therapy in in vivo models of NE transformation by inducing the proteasome-mediated degradation of the mYC Proto-Oncogen(mYC),implicated in stemness and histological *** overexpression of a degradation-resistant mYC isoform reestablished the NE transformation phenotype observed on targeted therapy,even in the presence of ***7 inhibition also markedly extended response to standard cytotoxics(cisplatin,irinotecan)in lung and prostate small cell carcinoma *** results nominate CDC7 inhibition as a therapeutic strategy to constrain lineage plasticity,as well as to effectively treat NE tumors de novo or after *** simurosertib clinical efficacy trials are ongoing,this concept could be readily translated for patients at risk oftransformation.

关键词： tumors markedly transformation

Optimal plot design in a multipurpose forest inventory

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Forest Ecosystems 2016年第1期3卷 37-50页

作者： helena m.Henttonen Annika Kangas Natural Resources Institute Finland(Luke) Economics and Society unit

Background： We explore the factors affecting the optimal plot design （size and type as well as the subsample tree selection strategies within a plot） and their relative importance in defining the optimal plot design in amultipurpose forest inventory. The factors include time used to lay out the plot and to make the tree measurements within the plot, the between-plot variation of each of the variables of interest in the area, and the measurement and model errors for the different variables. methods： We simulate different plot types and sizes and subsample tree selection strategies on measuredtest areas from North Lapland. The plot types used are fixed-radius, concentric and relascope plots. Weselect the optimal type and size first at plot level using a cost-plus-loss approach and then at cluster level byminimizing the weighted standard error with fixed budget. Results： As relascope plots are ve~/efficient at the plot level for volume and basal area, and fixed-radius plots for stems per ha, the optimal plot type strongly depends on the relative importance of these variables. The concentric plot seems to be a good compromise between these two in many cases. The subsample tree selection strategy was more important in selecting optimal plot than many other factors. In cluster level, the most important factor is the transfer time between plots. Conclusions： While the optimal radius of plots and other parameters were sensitive to the measurement times and other cost factors, the concentric plot type was optimal in almost all studied cases. Subsample tree measurement strategies need further studies, as they were an important cost factor. However, their importance to the precision was not as clear.

关键词： Sample Plot Forest inventory measurement Cost Loss

Comparison of Classical models for Evaluating the Heat Requirements of Olive(Olea europeae L.) in Portugal

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Journal of Integrative Plant Biology 2006年第6期48卷 664-671页

作者： helena Ribeiro mário Cunha Ilda Abreu Autonomous Section of Agricultural Sciences Faculty of Sciences University of Porto4485-661 VairaoPortugal Department of Botany Faculty of SciencesUniversity of Porto1191-4150 PortoPortugal Institute of Agricultural Sciences and Technology 4485-661 VairaoPortugal Department of Botany Faculty of Sciences University of Porto1191-4150 PortoPortugal Institute for molecular and Cell Biology 823-4150 PortoPortugal

The aim of the present study was to compare the accuracy and reproducibility of six statistical models for the calculation of olive （Olea europeae L.） heat requirements to trigger the onset of flowering in three Portuguese regions： Reguengos de monsaraz, Valenga do Douro, and Braga. Other alms were to ascertain the date on which the heat-accumulation period started and the threshold temperatures above which the development of reproductive structures starts in olives. The starting and peak dates for the regional O. europeae flowering season were estimated by monitoring airborne pollen from 1998 to 2004 using ＂Cour＂- type samplers. The threshold temperature values calculated for the three regions were very similar （9.0 ℃ for Valenca do Douro, 9.2 ℃ for Reguengos de monsaraz, and 9.7 ℃ for Braga）. The accumulated daily mean temperature model had less interannual and inter-regional variation, showing best predictive results for 2004, with absolute differences between the observed and predicted dates of 4 d in Reguengos de monsaraz and 2 d In Valenca do Douro and Braga for the onset of flowering date and of 2 d In Reguengos de monsaraz, 7 d in Valenca do Douro, and 4 d in Braga for peak flowering dates. This model was the most accurate, reproducible, and operational to calculate heat requirements for olives to flower, with an average mean temperature accumulation of 1 446 ℃ In Reguengos, 1 642 ℃ in Valenga do Douro, and 1 703℃ In Braga to reach the onset of flowering. The best initial date for this accumulation was 1 January.

关键词： flowering season heat requirements olives pollen Portugal

Polarization effect in tip-enhanced infrared nanospect- roscopy studies of the selective Y5 receptor antagonist Lu AA33810

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Nano Research 2018年第8期11卷 4401-4411页

作者： Natalia Piergies Ewa Pinta Czestawa Paluszkiewicz helena Domin Wojciech m.Kwiatek Institute of Nuclear Physics Polish Academy of Sciences PL-31342 Krakow Poland Institute of Pharmacology Polish Academy of Sciences Department of Neurobiology 31-343 Krakow Smetna Street 12 Poland Natalia Piergies and Ewa Pieta contributed equally to this work.

A novel approach of combining conventional infrared spectroscopy （IR） and atomic force microscopy （AFm） is presented to better understand the behavior of a drug adsorbed on a metal substrate at the nanoscale level. Tip-enhanced infrared nanospectroscopy （TEIRA） was used for the first time to investigate Lu AA33810, a selective brain-penetrating Y5 receptor antagonist, after immobilization on gold nanopartides （GNPs）. Here, a gold coated AFm tip and gold substrate were used to obtain the near-field electromagnetic field trapping effect. Because of the huge signal enhancement, it was possible to obtain the spectral information regarding the self-assembled monolayer of the investigated molecule. The effect of two orthogonal polarizations （p- and s-polarization modulations） of the excitation laser beam on the spectral patterns is also discussed. The results show that there is a strong relationship between the state of polarization of the incident radiation and the relative infrared band intensities. Another factor affecting the observed spectral differences is the topology of the metal substrate, which may result in the induction of a cross-polarization effect. The performed analysis indicates that the C--C bond from the cyclohexyl group is oriented almost parallel to the metal surface. Conversely, the p- and s-polarized spectral variations suggest that the O=S---O angle is high enough to enable the simultaneous interaction of both oxygen atoms with the GNPs.

关键词： tip-enhanced infrared nanospectroscopy polarization modulation Y5 receptor antagonist gold nanoparticles adsorption

Uterine cervical carcinoma treated with chemoradiotherapy: impact of three-month mRI follow-up on clinical management and outcome

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Journal of Cancer metastasis and Treatment 2021年第1期7卷 889-900页

作者： helena Sundström Lennart Blomqvist Kristina Hellman Department of molecular medicine and Surgery Karolinska InstitutetStockholm 17176Sweden Department of Imaging and Physiology Karolinska University HospitalStockholm 17176Sweden Department of Women’s and Children’s Health Karolinska InstitutetStockholm 17176Sweden Department of Gynaecologic Cancer Theme CancerKarolinska University HospitalStockholm 17176Sweden.

Aim:The aim of this study was to evaluate the impact of mRI performed three months after treatment on further follow-up interventions and outcome in patients with uterine cervical carcinoma treated with definitive ***:Sixty consecutive women diagnosed with uterine cervical cancer FIGO 2009 stage IB1-IVA during 2011-2012 treated with definitive chemoradiotherapy/radiotherapy with curative intent at the Department of Gynaecological Oncology at Karolinska University Hospital were retrospectively included.A review of mRI reports and medical records with focus on follow-up interventions associated to imaging was ***:On follow-up mRI three months post treatment,29/60 women had complete remission(mrCR),24/60 women had partial remission(mrPR)and 7/60 had progressive disease(mrPD).In patients with mrCR,no additional procedures were *** group with mrPR had 27 additional mRIs,3 PET/CT examinations and 9 biopsy procedures,none leading to diagnosis of residual *** control rate was 96%after 6.5 months(median).No patient had cervical relapse only;2/53 had cervical relapse in combination with non-regional lymph nodes and distant *** was no statistically significant difference in overall survival between patients with mrCR and mrPR(HR=2.2,P=0.21).Conclusion:Patients with residual changes on mRI at three months post treatment have a low risk for locoregional *** this is not recognised,follow-up mRI results in unnecessary additional procedures with low impact on treatment *** studies are needed regarding the most appropriate imaging modality and timing of post-treatment evaluation.

关键词： Uterine cervical carcinoma chemoradiotherapy locoregional control mRI post-radiation changes relapse residual tumour natural course

mycorrhizal synthesis between Pisolithus arhizus and adult clones of Arbutus unedo in vitro and in nursery

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Journal of Forestry Research 2013年第4期24卷 659-670页

作者： Filomena Gomes helena machado Esteban San martin A.Portugal Jorge m.Canhoto Filomena Gomes.CERNAS Dep.Recursos FlorestaisEscola Superior Agrária Coimbra INIAV Instituto Nacional de Investigao Agráriae VeterináriaIP.Av.República Centre of Functional Ecology Department of Life SciencesUniversity of Coimbra

Arbutoid mycorrhizae were synthesized between adult se- lected clones of Arbutus unedo L. and Pisolithus arhizus. Two micro- propagated clones were tested： ALl, in vitro and C1 （acclimatized plants） in nursery and later in a field trial. In vitro, rooted shoots were trans- ferred to test tubes containing the substrate previously inoculated with mycelium cultured on agar. In the nursery, two inoculation treatments were tested （vegetative inocula or dry sporocarps） and compared to con- trol plants. In the field trial, plants from nursery inoculation treatments were compared and an additional control treatment using seedlings was implemented. Plant height was evaluated 4 months later in the nursery and 20 months later in the field trial.

关键词： arbutoid mycorrhizae Ericaceae field plants Arbutus unedoor strawberry tree