2,027 research outputs found
Non-sensory factors driving the packaging design of ready-to-eat mazamorra morada based on consumer perception
Food choice is often influenced by extrinsic factors, which drive consumer perception of a given product or service. It is therefore critical to study them during the design of food packaging. In this context, the aim of this study was to investigate the effect of extrinsic factors on the expected acceptance, purchase intention and holistic perception of consumers of the popular Peruvian dessert mazamorra morada. Twelve stimuli were created by using a fractional factorial design considering packaging material, nutritional information, quality, convenience, and naturalness as factors, previously obtained by open-ended questions. Ninety-seven consumers answered an online survey indicating their expected acceptance, purchase intention and holistic perception. The results showed that the most salient factors for consumers, in terms of expected acceptance, purchase intention, and holistic perception, were packaging material and convenience. For these factors, the levels that increased expected acceptance and purchase intention were the "package made of food grade paper", conveniently adding a "spoon and napkin".Food choice is often influenced by extrinsic factors, which drive consumer perception of a given product or service. It is therefore critical to study them during the design of food packaging. In this context, the aim of this study was to investigate the effect of extrinsic factors on the expected acceptance, purchase intention and holistic perception of consumers of the popular Peruvian dessert mazamorra morada. Twelve stimuli were created by using a fractional factorial design considering packaging material, nutritional information, quality, convenience, and naturalness as factors, previously obtained by open-ended questions. Ninety-seven consumers answered an online survey indicating their expected acceptance, purchase intention and holistic perception. The results showed that the most salient factors for consumers, in terms of expected acceptance, purchase intention, and holistic perception, were packaging material and convenience. For these factors, the levels that increased expected acceptance and purchase intention were the "package made of food grade paper", conveniently adding a "spoon and napkin"
Folding Knots Using a Team of Aerial Robots
From ancient times, humans have been using cables and ropes to tie, carry,
and manipulate objects by folding knots. However, automating knot folding is
challenging because it requires dexterity to move a cable over and under
itself. In this paper, we propose a method to fold knots in midair using a team
of aerial vehicles. We take advantage of the fact that vehicles are able to fly
in between cable segments without any re-grasping. So the team grasps the cable
from the floor, and releases it once the knot is folded. Based on a composition
of catenary curves, we simplify the complexity of dealing with an
infinite-dimensional configuration space of the cable, and formally propose a
new knot representation. Such representation allows us to design a trajectory
that can be used to fold knots using a leader-follower approach. We show that
our method works for different types of knots in simulations. Additionally, we
show that our solution is also computationally efficient and can be executed in
real-time.Comment: International Conference on Intelligent Robots and Systems, IROS
2022, Kyoto, Japan, Oct 23 - Oct. 27, 202
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A novel satellite-based ocean monitoring system for Mexico
To analyze patterns in marine productivity, harmful algal blooms, thermal stress in coral reefs, and oceanographic processes, optical and biophysical marine parameters, such as sea surface temperature, and ocean color products, such as chlorophyll-a concentration, diffuse attenuation coefficient, total suspended matter concentration, chlorophyll fluorescence line height, and remote sensing reflectance, are required. In this paper we present a novel automatic Satellite-based Ocean Monitoring System (SATMO) developed to provide, in near real-time, continuous spatial data sets of the above-mentioned variables for marine-coastal ecosystems in the Gulf of Mexico, northeastern Pacific Ocean, and western Caribbean Sea, with 1 km spatial resolution. The products are obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) images received at the Direct Readout Ground Station (located at CONABIO) after each overpass of the Aqua and Terra satellites. In addition, at the end of each week and month the system provides composite images for several ocean products, as well as weekly and monthly anomaly composites for chlorophyll-a concentration and sea surface temperature. These anomaly data are reported for the first time for the study region and represent valuable information for analyzing time series of ocean color data for the study of coastal and marine ecosystems in Mexico, Central America, and the western Caribbean
Two-Higgs-Doublet Models with a Flavored
Two Higgs-doublet models usually consider an ad-hoc discrete
symmetry to avoid flavor changing neutral currents. We consider a new class of
two Higgs-doublet models where is enlarged to the symmetry group
, i.e. an inner semi-direct product of a
discrete symmetry group and . In such a scenario the
symmetry constrains the Yukawa interactions but goes unnoticed by the scalar
sector. In the most minimal scenario, , flavor changing neutral currents mediated by scalars are absent at tree
and one-loop level, while at the same time predictions to quark and lepton
mixing are obtained, namely a trivial CKM matrix and a PMNS matrix (upon
introduction of three heavy right-handed neutrinos) containing maximal
atmospheric mixing. Small extensions allow to fully reproduce mixing
parameters, including cobimaximal mixing in the lepton sector (maximal
atmospheric mixing and a maximal phase).Comment: 12 pages, 3 figures; Eq.(48) fixed, references added, version
accepted by PR
On the locus formed by the maximum heights of projectile motion with air resistance
We present an analysis on the geometrical place formed by the set of maxima
of the trajectories of a projectile launched in a media with linear drag. Such
a place, the locus of apexes, is written in term of the Lambert function in
polar coordinates, confirming the special role played by this function in the
problem. In order to characterize the locus, a study of its curvature is
presented in two parameterizations, in terms of the launch angle and in the
polar one. The angles of maximum curvature are compared with other important
angles in the projectile problem. As an addendum, we find that the synchronous
curve in this problem is a circle as in the drag-free case.Comment: 7 pages, 6 color eps figures. Synchronous curve added. Typos and
style corrected
PND18 HEALTH AND NON-HEALTH RESOURCES UTILIZATION AND DERIVED COSTS OF TREATING UNDER ROUTINE MEDICAL PRACTICE REFRACTORY PAIN ASSOCIATED TO TRIGEMINAL NEURALGIA IN PRIMARY CARE SETTING (PCS): A 12-WEEKS LONGITUDINAL POST-HOC ANALYSIS
Evaluation of potential nirs to predict pastures nutritive value
This paper describes the capability of near infra-reflectance (NIRS) to predict the nutritional quality of pastures
from southern Chile (39°-40°S). A Fourier transformed near-infrared (FT-NIR) method for rapid determination
of dry matter (DM), crude protein (CP), in vitro digestibility (IVD) and metabolizable energy (ME) was used.
Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS)
regression and external validation. The coefficients of determination in calibration (R2c) were high varying between
0.89-0.99 and the root mean square errors of calibration (RMSEC) were low, ranging between 0.46-2.55 for the
parameters analysed. The Residual Prediction Deviation (RPD) was higher than 2.5. Our results confirmed the
convenience of using a wide range of samples applicability in the calibration set. Data also showed that the use of
an independent set of samples for external validation increases the robustness of the models to predict unknown
samples. Our results indicated RPD values higher than 2.5 which is the minimum recommended for this type of
prediction. Thus, the result showed that NIRS was useful to estimate the nutritional quality of permanent pastures,
and has a great potential to be used as a rapid decision tool for the studied analysis.Thanks the Fondo Nacional de Desarrollo CientÃfico y
Tecnológico (FONDECYT) post-doc grant n°3120069.info:eu-repo/semantics/publishedVersio
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