639 research outputs found

    Función de Ingresos de los Hogares Chilenos: Ciclo de vida y Persistencia de Shocks

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    Statistical information about households, coming from the National Statistics Bureau’s supplementary income survey for 1990-1998 (approximately 30,000 homes annually) reveals that the expected component of Chilean households’ income function is significantly determined by the effects of age, generational cohort, and time, along with a set of idiosyncratic household characteristics. To determine the dynamics of the random component, the process that supports the average residue by generation is estimated, which seems to be best described by either a moving average process of first and second order, or an autoregressive process of first order. However, separating by educational level, only the income functions of low-educationhead households follow these processes, accepting white noise for higher-education households, which accounts for the influence of less educated households in the results for the full sample.

    Resting and Post-Exercise Blood Pressure Response to Repeated Bouts of Aquatic Treadmill Exercise

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    Aerobic exercise is known to reduce resting blood pressure as well as induce and acute post-exercise hypotensive response. Purpose: Determine the effect of repeated bouts of aquatic treadmill exercise on consecutive days in physically untrained, pre-hypertensive men. Methods: Nine male subjects (SBP: 132 ± 8 mmHg; DBP: 79 ± 8 mmHG; 33 ± 8 years; 183 ± 7 cm; 103 ± 31 kg; 32 ± 10% Fat; 36 ± 7 ml·kg-1·min-1) participated in the study. All subjects completed an acute aquatic treadmill exercise session (60% VO2max; 300 kcal) on two consecutive days. Prior to each exercise session and following 10 minutes of seated rest, blood pressure and heart rate were automatically taken every 3 minutes for a total of 3 measurements. Following each exercise session, blood pressure and heart rate were measured automatically every 10-minutes from 20 to 60 minutes post while subjects were seated at rest. Pre-exercise and post-exercise measures were averaged. A dependent sample t-test was performed to compare the average values between the first (ATM1) and second (ATM2) exercise sessions. Results: Data are displayed in table below. Both pre-exercise and post-exercise systolic, diastolic, and mean arterial pressures were lower for ATM2. Conclusion: A single bout of ATM exercise resulted in reduced resting blood pressure 24-hours later. Furthermore, post-exercise blood pressure was lower following a second ATM exercise session. These data support both the efficacy of ATM exercise in regulating blood pressure and the cumulative benefit of repeated exercise bouts. Pre-Exercise Post-Exercise SBP DBP MAP HR SBP DBP MAP HR ATM1 Avg 126 78 96 72 124 77 93 83 SD 11 7 7 11 12 7 8 10 ATM2 Avg 121 74 92 70 120 75 91 80 SD 11 7 7 11 10 8 7 13 T-Test 0.035 0.005 0.003 0.113 0.047 0.028 0.034 0.058 All values represent mean ± SD. p-values compare ATM1 vs. ATM

    Single-anchor two-way localization bounds for 5G mmWave systems

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    Recently, millimeter-wave (mmWave) 5G localization has been shown to be to provide centimeter-level accuracy, lending itself to many location-aware applications, e.g., connected autonomous vehicles (CAVs). One assumption usually made in the investigation of localization methods is that the user equipment (UE), i.e., a CAV, and the base station (BS) are time synchronized. In this paper, we remove this assumption and investigate two two-way localization protocols: (i) a round-trip localization protocol (RLP), whereby the BS and UE exchange signals in two rounds of transmission and then localization is achieved using the signal received in the second round; (ii) a collaborative localization protocol (CLP), whereby localization is achieved using the signals received in the two rounds. We derive the position and orientation error bounds applying beamforming at both ends and compare them to the traditional one-way localization. Our results show that mmWave localization is mainly limited by the angular rather than the temporal estimation and that CLP significantly outperforms RLP. Our simulations also show that it is more beneficial to have more antennas at the BS than at the UE

    Income Function of Chilean Households: Life Cicle and Persistence of Shocks

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    Statistical information about households, coming from the National Statistics Bureau’s supplementary income survey for 1990-1998 (approximately 30,000 homes annually) reveals that the expected component of Chilean households’ income function is significantly determined by the effects of age, generational cohort, and time, along with a set of idiosyncratic household characteristics. To determine the dynamics of the random component, the process that supports the average residue by generation is estimated, which seems to be best described by either a moving average process of first and second order, or an autoregressive process of first order. However, separating by educational level, only the income functions of low-education-head households follow these processes, accepting white noise for higher-education households, which accounts for the influence of less educated households in the results for the full sample.

    Energy Expenditure Overestimation Bias in Elliptical Trainer Machine

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    Elliptical trainers are a common mode of aerobic exercise in recreationally active populations. Those with a weight loss goal might rely upon the energy expenditure (EE) estimation that many elliptical brands provide to keep track of calories (kcals) burned and make nutritional decisions. For this reason, it is important to evaluate the accuracy of the algorithms used by elliptical trainers to estimate EE. The purpose of this study was to compare EE estimates by a common brand of elliptical trainer to that measured using open circuit spirometry, at different combinations of resistance and pedal speed. Twenty subjects (10 male, 10 female; 34 ± 12 yr; 175.3 ± 10.7 cm; 77.1 ± 14.1 kg) consented to participate. Each completed three 15-min bouts of elliptical exercise on the same elliptical trainer, with at least 24 hr between exercise bouts. Pedal rates were held constant throughout each bout at 50, 60, or 70 RPM, and resistance was increased incrementally every 5 min from level 5 to 10 to 15. The different cadences were completed in a randomized order between participants. Expired gases were collected continuously throughout the 15 min. Heart rate, distance (mi), and EE from the elliptical readout were recorded every 1 min. RPE was collected twice per resistance level. A two-tailed paired samples t-test was used to compare elliptical EE to measured EE. A linear regression model was used to evaluate the ability of the elliptical EE to predict measured EE. Significance for all statistical measures was held at an alpha level of 0.05. The difference between EE estimates from the elliptical and measured VO2 was significant (p Measured EE = 0.95*(Elliptical EE) – 3.161 In conclusion, the elliptical trainer used for this study demonstrated a bias to overestimate EE. This should be taken into account by health/fitness professionals using these estimations to program for clients. There may be some variation in the EE correction regression depending on elliptical model, and proper machine calibration should be ensured

    Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens

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    Exploiting wavefront curvature enables localization with limited infrastructure and hardware complexity. With the introduction of reconfigurable intelligent surfaces (RISs), new opportunities arise, in particular when the RIS is functioning as a lens receiver. We investigate the localization of a transmitter using a RIS-based lens in close proximity to a single receive antenna element attached to reception radio frequency chain. We perform a Fisher information analysis, evaluate the impact of different lens configurations, and propose a two-stage localization algorithm. Our results indicate that positional beamforming can lead to better performance when a priori location information is available, while random beamforming is preferred when a priori information is lacking. Our simulation results for a moderate size lens operating at 28 GHz showcased that decimeter-level accuracy can be attained within 3 meters to the lens

    SANITATION AND DETOXIFICATION OF LAMA MEAT (LAMA GLAMA) INFECTED WITH SARCOCYSTIS AUCHENIAE THROUGH CHEMICAL METHODS: MARINATED, SMOKED, DRY CURED AND WET CURED

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    Se evaluó la capacidad de sanear y detoxificar la carne de llama con macroquistes de Sarcocystis aucheniae a través de los métodos químicos de marinado, ahumado, curado seco y curado húmedo. Además, se incluyó un grupo control positivo (carne sin tratar). Se preparó un lisado a partir de macroquistes provenientes de carnes tratadas y no tratadas, que fue inoculado en 30 conejos (100 μg/kg de peso vivo en forma subcutánea). Los conejos del grupo curado húmedo y control positivo presentaron signos clínicos de toxicidad llegando a morir entre las 8 y 12 horas de la inoculación. Así mismo, 12 perros de 4-6 meses de edad recibieron la carne (150-200 macroquistes por animal) previamente tratada con uno de los métodos químicos bajo evaluación (un grupo de canes quedó como control positivo). Solamente los perros del grupo control eliminaron esporoquistes a partir del día 14 post-ingestión. Los resultados demuestran que los tratamientos marinado, ahumado y curado seco lograron sanear y detoxificar la carne de llama parasitada con Sarcocystis aucheniae.The sanitation and disinfecting of lama meat naturally infected with macrocysts of Sarcocystis aucheniae through any of four chemical methods (marinated, smoked, dry cured and wet cured) was evaluated. In addition, a positive control group (non-treated meat) was included. A lisis of macrocysts from treated and non-treated meats was prepared and inoculated into 30 rabbits (100 μg/kg of body weigh, subcutaneously). Rabbits of the humid cured and positive control groups showed clinical signs of toxicity and died within 8-12 hours post-inoculation. Furthermore, 12 puppies of 4-6 months of age were fed with the infected lama meat (150-200 macrocysts per puppy) previously treated with one of the chemical methods under evaluation (one group was kept as a positive control one). Solely dogs of the positive control group eliminated sporocysts after 14 days of ingestion. The results showed that marinated, smoked and dry cured methods were able to clean and disinfect lama meat infected with macrocysts of Sarcocystis aucheniae

    Test of CCD Precision Limits for Differential Photometry

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    Results of tests to demonstrate the very high differential-photometric stability of CCD light sensors are presented. The measurements reported here demonstrate that in a controlled laboratory environment, a front-illuminated CCD can provide differential-photometric measurements with reproducible precision approaching one part in 105. Practical limitations to the precision of differential-photometric measurements with CCDs and implications for spaceborne applications are discussed

    Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks

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    Extracting complex interactions (i.e., dynamic topologies) has been an essential, but difficult, step toward understanding large, complex, and diverse systems including biological, financial, and electrical networks. However, reliable and efficient methods for the recovery or estimation of network topology remain a challenge due to the tremendous scale of emerging systems (e.g., brain and social networks) and the inherent nonlinearity within and between individual units. We develop a unified, data-driven approach to efficiently infer connections of networks (ICON). We apply ICON to determine topology of networks of oscillators with different periodicities, degree nodes, coupling functions, and time scales, arising in silico, and in electrochemistry, neuronal networks, and groups of mice. This method enables the formulation of these large-scale, nonlinear estimation problems as a linear inverse problem that can be solved using parallel computing. Working with data from networks, ICON is robust and versatile enough to reliably reveal full and partial resonance among fast chemical oscillators, coherent circadian rhythms among hundreds of cells, and functional connectivity mediating social synchronization of circadian rhythmicity among mice over weeks
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