202 research outputs found

    Selection of optimum combination of fans for bord and pillar coal mines - A Case Study

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    A good design of ventilation system for a mine should supply adequate air flow for all workings. One of the objectives of the ventilation planning is to select optimum operating points for the fan and its combinations to achieve the required air flow rate. It will improve the safety conditions and minimise the total air power consumption. The objective of this study is to increase ventilation quantity with low operating pressure and effective utilisation of the main mechanical ventilator. Ventilation simulator and CFD modelling studies were conducted with different combinations of fans. Operating parallel fans with the same capacity and blade angle at the return air shaft is the best possible solution for achieving this objective. A detailed case study of the pressure survey of the ventilation network and the simulation results is presented

    Fault Diagnosis in DSL Networks using Support Vector Machines

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    The adequate operation for a number of service distribution networks relies on the e�ective maintenance and fault management of their underlay DSL infrastructure. Thus, new tools are required in order to adequately monitor and further diagnose anomalies that other segments of the DSL network cannot identify due to the pragmatic issues raised by hardware or software misconfigurations. In this work we present a fundamentally new approach for classifying known DSL-level anomalies by exploiting the properties of novelty detection via the employment of one-class Support Vector Machines (SVMs). By virtue of the imbalance residing in the training samples that consequently lead to problematic prediction outcomes when used within two-class formulations, we adopt the properties of one-class classification and construct models for independently identifying and classifying a single type of a DSL-level anomaly. Given the fact that the greater number of the installed Digital Subscriber Line Access Multiplexers (DSLAMs) within the DSL network of a large European ISP were misconfigured, thus unable to accurately flag anomalous events, we utilize as inference solutions the models derived by the one-class SVM formulations built by the known labels as flagged by the much smaller number of correctly configured DSLAMs in the same network in order to aid the classification aspect against the monitored unlabelled events. By reaching an average over 95% on a number of classification accuracy metrics such as precision, recall and F-score we show that one-class SVM classifiers overcome the biased classification outcomes achieved by the traditional two-class formulations and that they may constitute as viable and promising components within the design of future network fault management strategies. In addition, we demonstrate their superiority over commonly used two-class machine learning approaches such as Decision Trees and Bayesian Networks that has been used in the same context within past solutions. Keywords: Network management, Support Vector Machines, supervised learning, one-class classifiers, DSL anomalie

    Morphosedimentary and phytogeography reconstruction of the middle section of the river Jarama (Madrid, Spain) during the second half of the Holocene.

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    [Abstract] Two sites located on the alluvial plain of the Jarama River, near Madrid, Spain, have been studied using geological, palynological and xylological techniques. Uniquely for this region, numerous wood subfossils of Alnus and Ulmus have been found together with an strobile of Pinus halepensis. This has allowed the stablishment of a coherent radiocarbon chronology, which demonstrates that these sedimentary environments began to develop during the mid Holocene. The dated sediments, which also contains appreciable amounts of pollen, have been deposited upon older palaeosols which has in turn developed directly on the geological substrate. Palynological analyses of these levels have provided valuable insights into the floristic composition of the communities associated with the different biotopes present in the area. As a result of these multiproxy analyses an interpretation of Holocene landscape history and vegetation dynamics is presente

    Crecimiento Y Partición De Biomasa De Dos Cultivares De Maní (Arachis hypogaea L.) En Distintas Fechas De Siembra En Río Cuarto, Córdoba (Argentina)

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    Crop management practices like the choice of sowing date and of the cultivar modify and affect the environmental conditions of radiation and temperature in which peanut crop grows and develops. The aim of this study was to evaluate the effect that three contrasting sowing dates (SD) had on the growth and partition of biomass of two peanut cultivars of different cycle length; in the peanut-region of Rio Cuarto, Córdoba (Argentina). The experiment was conducted under field circumstances, without restrictions in water, nutrition or sanitary conditions during 2009/10 and 2010/11 growing season in the experimental field of the FAV-UNRC. On a Typical Haplustol soil with a clear light sandy texture. The Granoleico cultivars (runner type with cycle> 155 days) and Utre cultivars (cross runner x Spanish cycle of 130-140 days) were sown in early October, November and December (1st, 2nd and 3rd SD, respectively). During the growth cycle, environmental conditions were recorded, ecophysiological variables of development (phenology, thermal date) and growth (radiation interception, crop growth rate, biomass partitioning factor) of the crop were determined. At harvest, the yield components and market quality were determined, and the conditions to which the crop was exposed were analyzed. The phenological stages of peanut occurred in different environmental regimen due to variations in cycle length of the cultivars, sowing dates and the interaction between these variables. During the early SD, the duration of the cycle was longer, obtaining a greater amount of radiation as compared to the other SD. Both parameters, duration of the cycle and intercepted radiation (IPAR), decreased with late sowing. By delaying the SD, the crop growth rate (CGR) is greater during the initial periods of the crop cycle; an anticipation in the moment of maximum CGR can be seen, changes that occur in response to increased temperature and incident radiation (PAR), reflected in the pattern of biomass production and partition to the different plant organs. The combination of the SD and the length cycle of the cultivars affected the location of the critical period of definition of the yield components and the amount of radiation obtained by the crop. Particularly, the weight of ripe pod and grains was affected, which decreased by delaying the SD, with similar behavior in both cultivars and years of study. As a result, the pod yield and market quality is reduced with the delay of sowing date in both cultivars

    Dye-Loaded Quatsomes Exhibiting FRET as Nanoprobes for Bioimaging

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    Fluorescent organic nanoparticles (FONs) are emerging as an attractive alternative to the well-established fluorescent inorganic nanoparticles or small organic dyes. Their proper design allows one to obtain biocompatible probes with superior brightness and high photostability, although usually affected by low colloidal stability. Herein, we present a type of FONs with outstanding photophysical and physicochemical properties in-line with the stringent requirements for biomedical applications. These FONs are based on quatsome (QS) nanovesicles containing a pair of fluorescent carbocyanine molecules that give rise to Förster resonance energy transfer (FRET). Structural homogeneity, high brightness, photostability, and high FRET efficiency make these FONs a promising class of optical bioprobes. Loaded QSs have been used for in vitro bioimaging, demonstrating the nanovesicle membrane integrity after cell internalization, and the possibility to monitor the intracellular vesicle fate. Taken together, the proposed QSs loaded with a FRET pair constitute a promising platform for bioimaging and theranostics

    Engineering DNA-grafted quatsomes as stable nucleic acid-responsive fluorescent nanovesicles

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    The development of artificial vesicles into responsive architectures capable of sensing the biological environment and simultaneously signaling the presence of a specific target molecule is a key challenge in a range of biomedical applications from drug delivery to diagnostic tools. Herein, the rational design of biomimetic DNA-grafted quatsome (QS) nanovesicles capable of translating the binding of a target molecule to amphiphilic DNA probes into an optical output is presented. QSs are synthetic lipid-based nanovesicles able to confine multiple organic dyes at the nanoscale, resulting in ultra-bright soft materials with attractiveness for sensing applications. Dye-loaded QS nanovesicles of different composition and surface charge are grafted with fluorescent amphiphilic nucleic acid-based probes to produce programmable FRET-active nanovesicles that operate as highly sensitive signal transducers. The photophysical properties of the DNA-grafted nanovesicles are characterized and the highly selective, ratiometric detection of clinically relevant microRNAs with sensitivity in the low nanomolar range are demonstrated. The potential applications of responsive QS nanovesicles for biosensing applications but also as functional nanodevices for targeted biomedical applications is envisaged

    High Sensitivity C Reactive Protein in Patients with Rheumatoid Arthritis Treated with Antibodies against IL-6 or Jak Inhibitors: A Clinical and Ultrasonographic Study

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    Background: We examined whether high-sensitivity CRP (hsCRP) reflected the inflammatory disease status evaluated by clinical and ultrasound (US) parameters in RA patients receiving IL-6 receptor antibodies (anti-IL-6R) or JAK inhibitors (JAKi). Methods: We conducted a cross-sectional study of patients with established RA receiving anti-IL-6R (tocilizumab, sarilumab) or JAKi (tofacitinib, baricitinib). Serum hsCRP and US synovitis in both hands were measured. Associations between hsCRP and clinical inflammatory activity were evaluated using composite activity indices. The association between hsCRP and US synovitis was analyzed. Results: 63 (92% female) patients (42 anti- IL-6R and 21 JAKi) were included, and the median disease duration was 14.4 (0.2–37.5) years. Most patients were in remission or had low levels of disease. Overall hsCRP values were very low, and significantly lower in anti-IL-6R patients (median 0.04 mg/dL vs. 0.16 mg/dL). Anti-IL-6R (82.4%) patients and 48% of JAKi patients had very low hsCRP levels (≤0.1 mg/dL) (p = 0.002). In the anti-IL-6R group, hsCRP did not correlate with the composite activity index or US synovitis. In the JAKi group, hsCRP moderately correlated with US parameters (r = 0.5) but not clinical disease activity, and hsCRP levels were higher in patients with US synovitis (0.02 vs. 0.42 mg/dL) (p = 0.001). Conclusion: In anti-IL-6R RA-treated patients, hsCRP does not reflect the inflammatory disease state, but in those treated with JAKi, hsCRP was associated with US synovitis

    Relacion Entre La Densidad Óptima Agronomica Y El Número De Granos Por Planta En Maíz (Zea Maysl.)

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    The density of sowing (D) is one of the main management practices that influences the yield (Y) of corn. There exists a density value in which the yield is maximum (OPD), depending on the environment, the genotype and its interaction. The objectives of this project were: i-To determine the OPD for two corn genotypes in different productive environments; ii- Analyze the relationship between the number of kernel fixed per plant (KNP) and its plant growing rate (PGR) to different environments and genotypes iii- Determine the KNP that is related to the OPD for two corn genotypes. Three experiments were carried out in different locations (L) of Córdoba (Argentina) during 2013/14, comparing 2 genotypes (G) in 2 management zones (MZ). The statistical design was random blocks, with a factorial arrangement of subdivided plots, with L, MZ and G being the primary, secondary and tertiary factors, respectively. In addition, 5 D were planted to obtain the relationships that estimate OPD, PGR, KNP and Y. The results indicate that OPD was affected by L; the relationship between PGR and KNP was not modified by the environment, but by G. The PGR coincident with the OPD was modified by the G interaction: L. The OPD the PGR was between 2.74 to 4.81 g d -1 , which were associated with the NGP that varied only between 509 and 603 grains p-1

    Imaging Findings in Patients with Immune Checkpoint Inhibitor-Induced Arthritis

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    Immune checkpoint inhibitor (ICI)-induced arthritis is an increasingly recognized adverse event in patients with oncologic disease during immunotherapy. Four patterns are well described, including rheumatoid arthritis (RA)-like, polymyalgia rheumatica (PMR)-like, psoriatic arthritis (PsA)-like, and oligo-monoarthritis, among others. Despite better clinical recognition of these syndromes, information about the main imaging findings is limited. Methods: We conducted a retrospective observational study including all adult patients referred to the Rheumatology Department of a single-center due to ICI-induced arthritis who underwent imaging studies [ultrasound (US), magnetic resonance imaging (MRI), and (18)F-FDG PET/CT)] between January 2017 and January 2022. Results: Nineteen patients with ICI-induced arthritis with at least one diagnostic imaging assessment were identified (15 US, 4 MRI, 2 (18)F-FDG PET/CT). Most patients were male (84.2%), with a median age at inclusion of 73 years. The main underlying diagnoses for ICI treatment were melanoma in five cases. The distribution of ICI-induced arthritis was as follows: PMR-like (5, 26.2%), RA-like (4, 21.1%), PsA-like (4, 21.1%), and others (6, 31.6%). All RA-like patients had US findings indistinguishable from conventional RA patients. In addition, 3/5 (60%) of PMR-like patients had significant involvement of the hands and wrists. Abnormal findings on MRI or PET-CT were reported by clinical symptoms. No erosions or myofascitis were seen. Conclusions: ICI-induced arthritis patients present inflammatory patterns on imaging studies similar to conventional inflammatory arthropathies, and therefore these syndromes should be followed carefully and treated according to these findings
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