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10,231 result(s) for "Jose E. Torres"
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Semi-Supervised Transfer Learning Methodology for Fault Detection and Diagnosis in Air-Handling Units
Heating, ventilation and air-conditioning (HVAC) systems are the major energy consumers among buildings’ equipment. Reliable fault detection and diagnosis schemes can effectively reduce their energy consumption and maintenance costs. In this respect, data-driven approaches have shown impressive results, but their accuracy depends on the availability of representative data to train the models, which is not common in real applications. For this reason, transfer learning is attracting growing attention since it tackles the problem by leveraging the knowledge between datasets, increasing the representativeness of fault scenarios. However, to date, research on transfer learning for heating, ventilation and air-conditioning has mostly been focused on learning algorithmic, overlooking the importance of a proper domain similarity analysis over the available data. Thus, this study proposes the design of a transfer learning approach based on a specific data selection methodology to tackle dissimilarity issues. The procedure is supported by neural network models and the analysis of eventual prediction uncertainties resulting from the assessment of the target application samples. To verify the proposed methodology, it is applied to a semi-supervised transfer learning case study composed of two publicly available air-handling unit datasets containing some fault scenarios. Results emphasize the potential of the proposed domain dissimilarity analysis reaching a classification accuracy of 92% under a transfer learning framework, an increase of 37% in comparison to classical approaches.
Mini-percutaneous nephrolithotomy versus retrograde intrarenal surgery for the treatment of 10–20 mm lower pole renal stones: a systematic review and meta-analysis
PurposeTo compare the efficacy and safety of mini-percutaneous nephrolithotomy (mini-PCNL) versus retrograde intrarenal surgery (RIRS) for treatment of 10–20 mm lower pole renal stones.MethodsA comprehensive literature search of PubMed, Scopus, the Cochrane Library, and Web of Science was conducted to identify all studies comparing mini-PCNL and RIRS for 10–20 mm lower pole renal stones before March 2019. Article selection proceeded according to the search strategy based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The meta-analysis was performed with the R program version 3.5.1.ResultsA total of five studies were included (two randomized controlled trials and three case-controlled trials) with a total of 587 patients included. The success rate was significantly higher in the mini-PCNL group (OR 1.67; 95% CI p = 0.05). Operative and fluoroscopy times were similar for both groups (MD 2.45; 95% CI p = 0.87 and MD 2.11; 95% CI p = 0.09, respectively). Concerning the hospital stay and overall complication rates, there were no differences between the two procedures (MD 41.94; 95% CI p = 0.18 and OR 1.76; 95% CI p = 0.11).ConclusionOur analysis showed that both procedures are safe for treatment of 10–20 mm lower pole renal stones with similar complication rates, operative times, fluoroscopy times and length of hospital stay, but mini-PCNL was significantly superior in effectiveness with a higher success rate. Based on these results, mini-PCNL may be included in the guidelines as a safe and effective alternative treatment for 10–20 mm lower pole stones.
Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting
The ability to predict short-term electric energy demand would provide several benefits, both at the economic and environmental level. For example, it would allow for an efficient use of resources in order to face the actual demand, reducing the costs associated to the production as well as the emission of CO 2 . To this aim, in this paper we propose a strategy based on ensemble learning in order to tackle the short-term load forecasting problem. In particular, our approach is based on a stacking ensemble learning scheme, where the predictions produced by three base learning methods are used by a top level method in order to produce final predictions. We tested the proposed scheme on a dataset reporting the energy consumption in Spain over more than nine years. The obtained experimental results show that an approach for short-term electricity consumption forecasting based on ensemble learning can help in combining predictions produced by weaker learning methods in order to obtain superior results. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that using an ensemble scheme can achieve very accurate predictions, and thus that it is a suitable approach for addressing the short-term load forecasting problem.
Robotic repair of Morgagni congenital diaphragmatic hernia in an infant
We describe a robotic repair of a large Morgagni congenital diaphragmatic hernia in a 12-month-old infant using the da Vinci surgical robot.We describe a robotic repair of a large Morgagni congenital diaphragmatic hernia in a 12-month-old infant using the da Vinci surgical robot.
Scattered OH Maser sources in the direction of W49N
OH masers spots are observed with the VLBA at 1612, 1665 and 1667 MHz. The orientation of the ellipses resulting from scattering are all nearly aligned perpendicular to the galactic plane. These ordered orientation could be due to the galactic magnetic field.
Brainstem nitric oxide tissue levels correlate with anoxia-induced gasping activity in the developing rat
Gasping is an important mechanism for survival that appears to be developmentally modulated by the glutamate-nitric oxide (NO) pathway. However, the temporal characteristics of NO brain tissue levels during gasping are unknown. We hypothesized that during anoxia-induced gasping, the gasping frequency would be closely correlated with caudal brainstem tissue NO concentrations in developing rats. Brainstem and cortical tissue NO levels were measured during anoxia using a voltammetric electrode in adult rats and 5-day-old pups during control conditions and following pretreatment with the NMDA receptor antagonist MK-801 (1 mg/kg) or the neuronal NO synthase inhibitor 7-nitro-indazole (7-NI; 100 mg/kg). In young animals, NO tissue levels followed a triphasic trajectory coincident with gasp frequency which was markedly altered by MK-801 and 7-NI, albeit with preservation of gasp frequency-NO tissue level relationships. In adult rats, 40-fold higher NO tissue levels occurred and followed a monophasic trajectory coincident with gasp patterning. In the cortex, monophasic increases in NO levels occurred at all ages. We conclude that anoxia-induced gasping neurogenesis is modulated via NMDA-NO mechanisms in the developing rat. We postulate that higher NO brainstem concentrations may favor early autoresuscitation, but limit anoxic tolerance.
Evaluation of the Antitumor Potential of the Resorcinolic Lipid 3-Heptyl-3,4,6-trimethoxy-3H-isobenzofuran-1-one in Breast Cancer Cells
In recent years, the search for new anticancer experimental agents derived from natural products or synthetic analogues, such as resorcinolic lipids, has received increased attention. The present study aimed to evaluate the antitumor potential, describe the cell death mechanism and the effects of 3-Heptyl-3,4,6-trimethoxy-3Hisobenzofuran-1-one (AMS35AA) in combination with different chemotherapeutic agents in the MCF-7 cell line. Analysis of cytotoxic, genotoxic, membrane integrity, cell death and gene expression induced by the compound was performed. The AMS35AA and its association with 5-FU demonstrated reduction of cell viability; increase of cell death; enhancement of genomic damage and accumulation of cells in G /M phase. AMS35AA has potential for breast cancer treatment since it is capable of exerting cytotoxic and cytostatic effects in a breast cell line and also could be an adjuvant in cancer therapy when combined with 5-FU.
Bile salt-stimulated lipase in the milk of Fulani and Kanuri women in Nigeria and native nepalese women
Human milk provides newborns with several physiologically important proteins not found in cow's milk, including bile salt-stimulated lipase (BSSL) that compensates for the reduced lipolytic capability of the newborn intestine. We analyzed the milk of two ethnically distinct groups of women in northern Nigeria and Nepal. The milk of the Nepalese women (n = 36) contained slightly more BSSL activity (mean, 38.8 units/mL) than that of Fulani (n = 48; mean, 30.3 units/mL) and Kanuri (n = 90; mean 27.6 units/mL) women in Nigeria. There was also a weak positive correlation between the BSSL content of the milk and the body mass index (BMI) of the lactating women. The BSSL activity declined with the length of lactation for both well-nourished and undernourished women. The presence of a heat-stable inhibitor of BSSL in cow's milk was also demonstrated. This finding, along with the decrease in BSSL activity postgestation, could be of significance to populations such as the Fulani of the western Sahel who supplement the diets of their infants with unpasteurized cow's milk.