Acceptance of COVID-19 Vaccine Among Unvaccinated Filipinos

Background: Access to COVID-19 vaccines was one of the global measures for containing the COVID-19 pandemic. However, it is still not known whether Filipinos accept it.  Methods: Cross-sectional study based on a modified version of the community COVID-19 vaccine acceptance survey, disseminated and collected through Google Forms to Filipinos within the Philippines aged 18-65 years old. Multinomial logistic regression analysis was performed to determine the association between the willingness to be vaccinated and sociodemographic characteristics using odds ratios (OR) with 95% confidence intervals (95%CI).  Results: Among the 1,011 participants, 79.5% were willing to accept the COVID-19 vaccine. Significant determinants (p<0.05) were age, region of residence, sex, profession, income, religion, practice of alternative medicine, and previous contact with COVID-19 positive individuals. Essential healthcare workers (OR=11.0, 95%CI=1.3-93.5), practiced alternative medicine (OR=2.4, 95%CI=1.3-4.4), with previous contact with a COVID-19 positive person (OR=2.9, 95%CI=1.4-6.0), and females>males (OR=0.6, 95%CI=.3-1.0) were also more likely to accept COVID-19 vaccination. 63.7% preferred Pfizer the most, and 54.4% preferred Sinovac the least. In contrast, married individuals, essential non-healthcare workers and private/self-employed sectors were less likely to accept COVID-19 vaccines. Many individuals who refused to be vaccinated were unsure of its safety (59.70%) and had no trust in vaccines (56.50%). Conclusion: Despite a high prevalence of acceptance of the COVID-19 vaccine in our study, there were significant sociodemographic disproportions in vaccine acceptance. Better policies urging Filipinos to get vaccinated and more effective dissemination of unified information regarding vaccines from verified sources are recommended to boost vaccine confidence in the Philippines

Reusable Verification Environment for a RISC-V Vector Accelerator

This paper presents a reusable verification environment developed for the verification of an academic RISC-V based vector accelerator that operates with long vectors. In order to be used across diverse projects, this infrastructure intends to be independent of the interface used for connecting the accelerator to the scalar processor core. We built a verification infrastructure consisting of a Universal Verification Environment (UVM) which is capable of validating the design performing co-simulation of the vector instructions. Moreover, we provided a set of tests and an automated test generation, simulation and error reporting infrastructure. This paper shares our experience on verifying a complex accelerator used in two distinct projects, with different interfaces.This research has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 (European Processor Initiative) and Specific Grant Agreement No 101036168 (EPI SGA2) and No 956702 (eProcessor) . The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland. The EPI-SGA2 project, PCI2022-132935_N1618737 is also co-funded by MCIN/AEI /10.13039/501100011033 and by the UE NextGenerationEU/PRTRPeer ReviewedPostprint (author's final draft

VISION EMPRESARIAL EN LOS ESTUDIANTES DE LA LICENCIATURA EN COMUNICACION

Licenciatura en Comunicació

Facial Re-identification on Non-overlapping Cameras and in Uncontrolled Environments

Face re-identification is an essential task in automatic video surveillance where the identity of the person is known previously. It aims to verify if other cameras have observed a specific face detected by a camera. However, this is a challenging task because of the reduced resolution, and changes in lighting and background available in surveillance video sequences. Furthermore, the face to get re-identified suffers changes in appearance due to expression, pose, and scale. Algorithms need robust descriptors to perform re-identification under these challenging conditions. Among various types of approaches available, correlation filters have properties that can be exploited to achieve a successful re-identification. Our proposal makes use of this approach to exploit both the shape and content of more representative facial images captured by a camera in a field of view. The resulting correlation filters can characterize the face of a person in a field of view; they are good at discriminating faces of different people, tolerant to variable illumination and slight variations in the rotation (in/out of plane) and scale. Further, they allow identifying a person from the first time that has appeared in the camera network. Matching the correlation filters generated in the field of views allows establishing a correspondence between the faces of the same person viewed by different cameras. These results show that facial re-identification under real-world surveillance conditions and biometric context can be successfully performed using correlation filters adequately designed

Calculo automático de índice de masa corporal usando visión artificial

Los avances tecnológicos se han implementado en diferentes campos de la vida diaria, un campo de gran relevancia es la medicina. La investigación de metodologías que faciliten la determinación temprana de los síntomas y su tratamiento posterior es de vital importancia. Este artículo propone un método basado en la visión artificial para el cálculo del índice de masa corporal (IMC), para este propósito se reunieron personas de diferentes edades y complexiones, a partir de las imágenes obtenidas de todas las personas se obtienen las características del área de interés para obtener un buen desempeño al clasificar el IMC, obteniendo una precisión de clasificación del 73%

PINK URINE SYNDROME

In the present images we allude to a syndrome of low incidence, characterized by pink urine, being related to factors such as obesity, and being triggered by abdominal surgeries, use of propofol, among others. Being favoured by the presence of abundant crystals of uric acid in the urine confers the typical pink coloration

Measurement of the production and elliptic flow of (anti)nuclei in Xe–Xe collisions at √sNN = 5.44 TeV

Measurements of (anti)deuteron and (anti)3He production in the rapidity range |y|< 0.5 as a function of the transverse momentum and event multiplicity in Xe−Xe collisions at a center-of-mass energy per nucleon−nucleon pair of sNN−−−√ = 5.44 TeV are presented. The coalescence parameters B2 and B3 are measured as a function of the transverse momentum per nucleon. The ratios between (anti)deuteron and (anti)3He yields and those of (anti)protons and pions are reported as a function of the mean charged-particle multiplicity density, and compared with two implementations of the statistical hadronization model (SHM) and with coalescence predictions. The elliptic flow of (anti)deuterons is measured for the first time in Xe−Xe collisions and shows features similar to those already observed in Pb−Pb collisions, i.e., the mass ordering at low transverse momentum and the meson−baryon grouping at intermediate transverse momentum. The production of nuclei is particularly sensitive to the chemical freeze-out temperature of the system created in the collision, which is extracted from a grand-canonical-ensemble-based thermal fit, performed for the first time including light nuclei along with light-flavor hadrons in Xe−Xe collisions. The extracted chemical freeze-out temperature Tchem = (154.2 ± 1.1) MeV in Xe−Xe collisions is similar to that observed in Pb−Pb collisions and close to the crossover temperature predicted by lattice QCD calculations

Systematic study of flow vector decorrelation in sNN=5.02\mathbf{\sqrt{\textit{s}_{_{\bf NN}}}=5.02} TeV Pb--Pb collisions

Measurements of the $p_{\rm T}$-dependent flow vector fluctuations in Pb--Pb collisions at $\sqrt{s_{_{\rm NN}}} = 5.02~\mathrm{TeV}$ using azimuthal correlations with the ALICE experiment at the LHC are presented. A four-particle correlation approach [1] is used to quantify the effects of flow angle and magnitude fluctuations separately. This paper extends previous studies to additional centrality intervals and provides measurements of the $p_{\rm T}$-dependent flow vector fluctuations at $\sqrt{s_{_{\rm NN}}} = 5.02~\mathrm{TeV}$ with two-particle correlations. Significant $p_{\rm T}$-dependent fluctuations of the $\vec{V}_{2}$ flow vector in Pb--Pb collisions are found across different centrality ranges, with the largest fluctuations of up to $\sim$15% being present in the 5% most central collisions. In parallel, no evidence of significant $p_{\rm T}$-dependent fluctuations of $\vec{V}_{3}$ or $\vec{V}_{4}$ is found. Additionally, evidence of flow angle and magnitude fluctuations is observed with more than $5\sigma$ significance in central collisions. These observations in Pb--Pb collisions indicate where the classical picture of hydrodynamic modeling with a common symmetry plane breaks down. This has implications for hard probes at high $p_{\rm T}$, which might be biased by $p_{\rm T}$-dependent flow angle fluctuations of at least 23% in central collisions. Given the presented results, existing theoretical models should be re-examined to improve our understanding of initial conditions, quark--gluon plasma (QGP) properties, and the dynamic evolution of the created system.Measurements of the pT-dependent flow vector fluctuations in Pb–Pb collisions at sNN=5.02TeV using azimuthal correlations with the ALICE experiment at the Large Hadron Collider are presented. A four-particle correlation approach [ALICE Collaboration, Phys. Rev. C 107, L051901 (2023)] is used to quantify the effects of flow angle and magnitude fluctuations separately. This paper extends previous studies to additional centrality intervals and provides measurements of the pT-dependent flow vector fluctuations at sNN=5.02TeV with two-particle correlations. Significant pT-dependent fluctuations of the V⃗2 flow vector in Pb–Pb collisions are found across different centrality ranges, with the largest fluctuations of up to ∼15% being present in the 5% most central collisions. In parallel, no evidence of significant pT-dependent fluctuations of V⃗3 or V⃗4 is found. Additionally, evidence of flow angle and magnitude fluctuations is observed with more than 5σ significance in central collisions. These observations in Pb–Pb collisions indicate where the classical picture of hydrodynamic modeling with a common symmetry plane breaks down. This has implications for hard probes at high pT, which might be biased by pT-dependent flow angle fluctuations of at least 23% in central collisions. Given the presented results, existing theoretical models should be reexamined to improve our understanding of initial conditions, quark–gluon plasma properties, and the dynamic evolution of the created system.Measurements of the $p_{\rm T}$-dependent flow vector fluctuations in Pb-Pb collisions at $\sqrt{s_{_{\rm NN}}} = 5.02~\mathrm{TeV}$ using azimuthal correlations with the ALICE experiment at the LHC are presented. A four-particle correlation approach [1] is used to quantify the effects of flow angle and magnitude fluctuations separately. This paper extends previous studies to additional centrality intervals and provides measurements of the $p_{\rm T}$-dependent flow vector fluctuations at $\sqrt{s_{_{\rm NN}}} = 5.02~\mathrm{TeV}$ with two-particle correlations. Significant $p_{\rm T}$-dependent fluctuations of the $\vec{V}_{2}$ flow vector in Pb-Pb collisions are found across different centrality ranges, with the largest fluctuations of up to $\sim$15% being present in the 5% most central collisions. In parallel, no evidence of significant $p_{\rm T}$-dependent fluctuations of $\vec{V}_{3}$ or $\vec{V}_{4}$ is found. Additionally, evidence of flow angle and magnitude fluctuations is observed with more than $5\sigma$ significance in central collisions. These observations in Pb-Pb collisions indicate where the classical picture of hydrodynamic modeling with a common symmetry plane breaks down. This has implications for hard probes at high $p_{\rm T}$, which might be biased by $p_{\rm T}$-dependent flow angle fluctuations of at least 23% in central collisions. Given the presented results, existing theoretical models should be re-examined to improve our understanding of initial conditions, quark--gluon plasma (QGP) properties, and the dynamic evolution of the created system