The Detection and Characterization of cm Radio Continuum Emission from the Low-mass Protostar L1014-IRS

Observations by the Cores to Disk Legacy Team with the Spitzer Space Telescope have identified a low luminosity, mid-infrared source within the dense core, Lynds 1014, which was previously thought to harbor no internal source. Followup near-infrared and submillimeter interferometric observations have confirmed the protostellar nature of this source by detecting scattered light from an outflow cavity and a weak molecular outflow. In this paper, we report the detection of cm continuum emission with the VLA. The emission is characterized by a quiescent, unresolved 90 uJy 6 cm source within 0.2" of the Spitzer source. The spectral index of the quiescent component is $\alpha = 0.37\pm 0.34$ between 6 cm and 3.6 cm. A factor of two increase in 6 cm emission was detected during one epoch and circular polarization was marginally detected at the $5\sigma$ level with Stokes {V/I} $= 48 \pm 16$% . We have searched for 22 GHz H2O maser emission toward L1014-IRS, but no masers were detected during 7 epochs of observations between June 2004 and December 2006. L1014-IRS appears to be a low-mass, accreting protostar which exhibits cm emission from a thermal jet or a wind, with a variable non-thermal emission component. The quiescent cm radio emission is noticeably above the correlation of 3.6 cm and 6 cm luminosity versus bolometric luminosity, indicating more radio emission than expected. We characterize the cm continuum emission in terms of observations of other low-mass protostars, including updated correlations of centimeter continuum emission with bolometric luminosity and outflow force, and discuss the implications of recent larger distance estimates on the physical attributes of the protostar and dense molecular core.Comment: 14 pages. Accepted for publication in Ap

Star formation in Perseus: II. SEDs, classification and lifetimes

Working with the submillimetre continuum map of the Perseus molecular cloud (Hatchell et al. 2005), we aimed to determine the evolutionary stage of each submm core in Perseus, and investigate the lifetimes of these phases. We compile spectral energy distributions (SEDs) from 2MASS, Spitzer IRAC, Michelle, IRAS, SCUBA and Bolocam data. Sources are classified starless/protostellar on the basis of infrared and/or outflow detections and Class I/Class 0 on the basis of Tbol, Lbol/Lsmm and F_{3.6}/F_{850}. In order to investigate the dependence of these evolutionary indicators on mass, we construct radiative transfer models of Class 0 sources. Of the submm cores, 56/103 (54%) are confirmed protostars on the basis of infrared emission or molecular outflows. Of these, 22 are classified Class 1 on the basis of three evolutionary indicators, 34 are Class 0, and the remaining 47 are assumed starless. Perseus contains a much greater fraction of Class 0 sources than either Taurus or Rho Oph. Comparing the protostellar with the T Tauri population, the lifetime of the protostellar phase in Perseus is 0.25-0.67 Myr (95% confidence limits). The relative lifetime of the Class 0 and Class 1 phases are similar. We find that for the same source geometry but different masses, evolutionary indicators such as Tbol vary their value. It is therefore not always appropriate to use a fixed threshold to separate Class 0 and Class I sources. More modelling is required to determine the observational characteristics of the Class 0/Class I boundary over a range of masses.Comment: A&A accepted. 35 pages, 24 figures. Version with original figures available at http://www.astro.ex.ac.uk/people/hatchell/publications.htm

Persistence of COVID-19 Symptoms after Recovery in Mexican Population

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the coronavirus disease (COVID-19), a highly contagious infectious disease that has caused many deaths worldwide. Despite global efforts, it continues to cause great losses, and leaving multiple unknowns that we must resolve in order to face the pandemic more effectively. One of the questions that has arisen recently is what happens, after recovering from COVID-19. For this reason, the objective of this study is to identify the risk of presenting persistent symptoms in recovered from COVID-19. This case-control study was conducted in one state of Mexico. Initially the data were obtained from the participants, through a questionnaire about symptoms that they had at the moment of the interview. Initially were captured the collected data, to make a dataset. After the pre-processed using the R project tool to eliminate outliers or missing data. Obtained finally a total of 219 participants, 141 recovered and 78 controls. It was used confidence level of 90% and a margin of error of 7%. From results it was obtained that all symptoms have an associated risk in those recovered. The relative risk of the selected symptoms in the recovered patients goes from 3 to 22 times, being infinite for the case of dyspnea, due to the fact that there is no control that presents this symptom at the moment of the interview, followed by the nausea and the anosmia with a RR of 8.5. Therefore, public health strategies must be rethought, to treat or rehabilitate, avoiding chronic problems in patients recovered from COVID-19

Identification and manipulation of tumor associated macrophages in human cancers

Evading immune destruction and tumor promoting inflammation are important hallmarks in the development of cancer. Macrophages are present in most human tumors and are often associated with bad prognosis. Tumor associated macrophages come in many functional flavors ranging from what is known as classically activated macrophages (M1) associated with acute inflammation and T-cell immunity to immune suppressive macrophages (M2) associated with the promotion of tumor growth. The role of these functionally different myeloid cells is extensively studied in mice tumor models but dissimilarities in markers and receptors make the direct translation to human cancer difficult. This review focuses on recent reports discriminating the type of infiltrating macrophages in human tumors and the environmental cues present that steer their differentiation. Finally, immunotherapeutic approaches to interfere in this process are discussed

Índice epidemiológico de nutrición infantil basado en un modelo polinomial de los valores de puntuación Z del peso para la edad An epidemiological index to assess the nutritional status of children under five years of age in Mexico.

RESUMEN. Se propone un índice que modeliza la función matemática de los promedios de la puntuación Z del peso para la edad de 60,079 niños menores de 5 años de la República Mexicana obtenidos a partir de muestras probabilísticas. El modelo matemático de mayor precisión fue un polinomio de quinto grado. El coeficiente de correlación se ubicó en el intervalo .937SUMMARY. A nutritional status index was built by modeling the mathematical function of the mean Z scores of weight for age, from 60,079 children under five years of age, selected in a probabilistic fashion from the Mexican population. The most precise mathematical model was a fifth degree polynomial. The correlation coefficient was between .937<R<.999. The proposed index is the integral of the polynomial function, which represents the nutritional gap between the observed and the reference population. This model is used to analyze the characteristics of the different study populations. The index shows an improvement of -39.6 to -16.8 at the national level, between the years 1988 and 1999. This improvement is greater in urban (-36-4 to -8.4) than in rural areas (-48.8 in 1989, to -37.7 in 1999). The indigenous rural population of the country showed the highest levels of malnutrition (-54.4), as compared to the non-indigenous rural population (-37.1). In Mexico, City, the index was -5.9 in 1995, which represents an average of extreme nutritional values: -17.3 in the lower socioeconomic strata and 18.0 in the higher strata, the latter suggesting the presence of childhood obesity. This index is useful to estimate the epidemiological burden and the characteristics of malnutrition at early ages, as well as to assess the impact of interventions, without being altered by common biases related to the utilization of malnutrition prevalence values

Structural Equation Modeling of Parkinson’s Caregiver Social Support, Resilience, and Mental Health: A Strength-Based Perspective

Only scant literature has focused on social support in Parkinson’s disease (PD) caregivers, and no studies to date have examined resilience in this population, despite both variables having been shown to be important in other caregiving populations. As a result, the purpose of the current study was to construct and validate a theoretical structural equation model whereby social support is associated with higher levels of resilience in PD caregivers and increased resilience is related to decreased mental health symptoms. Two hundred fifty three PD caregivers from two clinics in the United States and Mexico completed self-report measures of these constructs. Results suggested that the hypothesized pattern was robustly supported with the structural equation model showing generally good fit indices. Higher levels of social support were associated with increased resilience, which in turn was associated with reduced mental health symptoms. Resilience partially mediated social support’s effect on mitigating mental health symptoms. The model explained 11% of the variance in resilience and 35% in mental health symptoms. These findings have implications for future research on the development and tailoring of interventions to improve social support, resilience, and mental health in PD caregivers