1,085 research outputs found
Large-Scale Spectroscopic Mapping of the Ophiuchi Molecular Cloud Complex I. The CH to NH Ratio as a Signpost of Cloud Characteristics
We present 2.5-square-degree CH N=1-0 and NH J=1-0 maps of the
Ophiuchi molecular cloud complex. These are the first large-scale maps
of the Ophiuchi molecular cloud complex with these two tracers. The
CH emission is spatially more extended than the NH emission. One
faint NH clump Oph-M and one CH ring Oph-RingSW are identified
for the first time. The observed CH to NH abundance ratio
([CH]/[NH]) varies between 5 and 110. We modeled the CH
and NH abundances with 1-D chemical models which show a clear decline
of [CH]/[NH] with chemical age. Such an evolutionary trend is
little affected by temperatures when they are below 40 K. At high density
(n 10 cm), however, the time it takes for the abundance
ratio to drop at least one order of magnitude becomes less than the dynamical
time (e.g., turbulence crossing time 10 years). The observed
[CH]/[NH] difference between L1688 and L1689 can be explained by
L1688 having chemically younger gas in relatively less dense regions. The
observed [CH]/[NH] values are the results of time evolution,
accelerated at higher densities. For the relative low density regions in L1688
where only CH emission was detected, the gas should be chemically younger.Comment: Accepted by ApJ, 45 pages, 10 figure
A Magnetic Bead-Based Sensor for the Quantification of Multiple Prostate Cancer Biomarkers.
Novel biomarker assays and upgraded analytical tools are urgently needed to accurately discriminate benign prostatic hypertrophy (BPH) from prostate cancer (CaP). To address this unmet clinical need, we report a piezeoelectric/magnetic bead-based assay to quantitate prostate specific antigen (PSA; free and total), prostatic acid phosphatase, carbonic anhydrase 1 (CA1), osteonectin, IL-6 soluble receptor (IL-6sr), and spondin-2. We used the sensor to measure these seven proteins in serum samples from 120 benign prostate hypertrophy patients and 100 Gleason score 6 and 7 CaP using serum samples previously collected and banked. The results were analyzed with receiver operator characteristic curve analysis. There were significant differences between BPH and CaP patients in the PSA, CA1, and spondin-2 assays. The highest AUC discrimination was achieved with a spondin-2 OR free/total PSA operation--the area under the curve was 0.84 with a p value below 10(-6). Some of these data seem to contradict previous reports and highlight the importance of sample selection and proper assay building in the development of biomarker measurement schemes. This bead-based system offers important advantages in assay building including low cost, high throughput, and rapid identification of an optimal matched antibody pair
Diffuse Idiopathic Skeletal Hyperostosis (DISH)—A Rare Etiology of Dysphagia
A 72-year-old gentleman presented to the hospital with progressively worsening dysphagia to soft foods and liquids. He was diagnosed with severe pharyngeal dysphagia by modified barium swallow. A CT scan of the neck with IV contrast showed anterior flowing of bridging osteophytes from C3–C6, indicative of DISH, resulting in esophageal impingement. He underwent resection of the DISH segments. Following the surgery, a PEG tube for nutrition supplementation was placed. However, the PEG tube was removed after five months when the speech and swallow evaluation showed no residual dysphagia. DISH is a rare non-inflammatory condition that results in pathological ossification and calcification of the anterolateral spinal ligaments
DAÑOS AMBIENTALES Y SU RELACIÓN CON EL INVENTARIO DE GANADO BOVINO - PANAMÁ, PERIODO 2016 - 2020
The relationship of environmental damage with the inventory of cattle registered in the INEC for the period 2016 - 2020 was estimated. For the analysis, the variables evaluated were Year, Region, Damage, Forest, Water, Soil, Atmosphere, Marine Coast and Fauna, Human settlements, Fauna and flora, and Existence of cattle for breeding, milk and fattening by province. All records were described through their frequencies. The information was homogenized and grouped. The interrelation, through Principal Components Analysis, and the correlation of the variables were also evaluated. From the results it can be concluded that the number of records of damage to the environment continues to increase, the most frequent being fires and pollution due to hydrocarbon spills. The most affected resources have been the fauna and flora and the forests in the provinces of Panama and Chiriquí. The effects at the soil level were only registered for a third of the region, however problems with water, fauna and flora, atmosphere and forests were registered, at the national level. Fires and contamination due to hydrocarbon spills were frequent at the national level, and contamination by sewage and inadequate management of solid waste were registered in at least 3/4 and 1/10 of the national territory, respectively. The relationship of the presence of damage to the environment with the registration of fattening cattle was significant.Fue estimada la relación de los daños ambientales con el inventario de ganado bovino registrado en el INEC para el período 2016 - 2020. Para el análisis, las variables evaluadas fueron Año, Región, Daño, Bosque, Agua, Suelo, Atmósfera, Costa y Fauna marina, Asentamientos humanos, Fauna y flora, y Existencia de ganado vacuno de cría, leche y ceba por provincia. Todos los registros fueron descritos a través de sus frecuencias. Las informaciones fueron homogeneizadas y agrupadas. La interrelación, a través del Análisis en Componentes Principales, y la correlación de las variables también fueron evaluadas. De los resultados se puede concluir que el número de registros de daños al ambiente sigue aumentando, siendo los más frecuentes los incendios y la contaminación por derrame de hidrocarburos. Los recursos más afectados han sido la fauna y flora y los bosques, en las provincias de Panamá y Chiriquí. Las afectaciones a nivel de suelos solo fueron registradas para un tercio de la república, sin embargo, problemas con el agua, la fauna y flora, atmósfera y los bosques se registraron a nivel nacional. Los incendios y la contaminación por derrame de hidrocarburos fueron frecuentes a nivel nacional, y la contaminación por aguas residuales y el manejo inadecuado de desechos sólidos se registraron en por lo menos 3/4 y 1/10 del territorio nacional, respectivamente. La relación de la presencia de afectaciones al ambiente con el registro de ganado vacuno de ceba fue significativa
EVALUACIÓN DE LA PRODUCCIÓN DE GRANOS Y DE BIOMASA EN CAJANUS CAJAN CON EL USO DE INDUCTOR FLORAL
In this study, we evaluated the effect of floral inducers on grain and biomass production in Cajanus cajan. We used a completely randomized block design with two varieties (red and black) and the dependent variables were total weight (pounds) and plant height (cm). The results showed that the use of floral inducers had a significant effect on grain and biomass production. However, it is important to assess the side effects, cost-benefit and environmental impact before implementing these treatments commercially. Further research is needed to better understand the influence of floral inducers on grain and biomass production in C. cajan.En este estudio, se evaluó el efecto de los inductores florales en la producción de granos y biomasa en Cajanus cajan. Usamos un modelo de bloques completamente aleatorizados con dos variedades (roja y negra) y las variables dependientes peso total (lbs) y altura de la planta (cm). Los resultados mostraron que el uso de inductor floral tuvo un efecto significativo en la producción de granos y biomasa. Sin embargo, es importante evaluar los efectos secundarios, el costo-beneficio y el impacto ambiental antes de implementar estos tratamientos a nivel comercial. Se necesitan más investigaciones para comprender mejor la influencia de los inductores florales en la producción de granos y biomasa en C. cajan
Application of Artificial Neural Network to Search for Gravitational-Wave Signals Associated with Short Gamma-Ray Bursts
We apply a machine learning algorithm, the artificial neural network, to the
search for gravitational-wave signals associated with short gamma-ray bursts.
The multi-dimensional samples consisting of data corresponding to the
statistical and physical quantities from the coherent search pipeline are fed
into the artificial neural network to distinguish simulated gravitational-wave
signals from background noise artifacts. Our result shows that the data
classification efficiency at a fixed false alarm probability is improved by the
artificial neural network in comparison to the conventional detection
statistic. Therefore, this algorithm increases the distance at which a
gravitational-wave signal could be observed in coincidence with a gamma-ray
burst. In order to demonstrate the performance, we also evaluate a few seconds
of gravitational-wave data segment using the trained networks and obtain the
false alarm probability. We suggest that the artificial neural network can be a
complementary method to the conventional detection statistic for identifying
gravitational-wave signals related to the short gamma-ray bursts.Comment: 30 pages, 10 figure
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