BECARI@S Population by CUNY Campus-2012-2018

The CUNY Mexican Studies Institute (CUNY MSI) has been working to equalize the educational achievement disparities among Mexican and Mexican-American students, striving to ensure they have equal access and support for thriving in our institution and beyond. Consistent with the mission of the CUNY MSI, the Mexican Studies Scholarship Fund seeks highly motivated students, with a record of commitment to service in the immigrant and Mexican community in New York, without considering immigration status. Thus far, the Mexican Studies Scholarship Fund has awarded over 200 scholarships to students from 13 countries. On this occasion, we are presenting a visual database report, without the accompanying text, based on the preliminary report of the Mexican Studies Scholarship Fund

High speed single photon detection in the near-infrared

InGaAs avalanche photodiodes (APDs) are convenient for single photon detection in the near-infrared (NIR) including the fibre communication bands (1.31/1.55 $\mu$m). However, to suppress afterpulse noise due to trapped avalanche charge, they must be gated with MHz repetition frequencies, thereby severely limiting the count rate in NIR applications. Here we show gating frequencies for InGaAs-APDs well beyond 1 GHz. Using a self-differencing technique to sense much weaker avalanches, we reduce drastically afterpulse noise. At 1.25 GHz, we obtain a detection efficiency of 10.8% with an afterpulse probability of 6.16%. In addition, the detector features low jitter (55 ps) and a count rate of 100 MHz

Economic and Social Factors of the Mexican Community in Queens

In this project, we hope to better understand the educational needs of the local Mexican communities across New York. We have used data drawn from the American Community Survey (ACS) public use microsample to see how the community has changed over time. For this study, we have focused on the borough of Queens, New York, with a particular focus on several key factors such as the average individual income levels, education levels, and age. In time, this will be followed up with more detailed reports into aspects of health, poverty, and family characteristics

Application of OCT to examination of easel paintings

We present results of applying low coherence interferometry to gallery paintings. Infrared low coherence interferometry is capable of non-destructive examination of paintings in 3D, which shows not only the structure of the varnish layer but also the paint layers

Estudio de Caso: Almacen Angelchi

El presente trabajo se realiza con el fin de llevar a cabo un diagnóstico empresarial teniendo en cuenta la aplicación de concepto visto en el seminario sobre teorías y doctrinas organizacionales tales como la aplicación de la matriz DOFA, ciclo PVHA, espina de pescado y base gráficas de pareto, teniendo en cuenta el cronograma y el plan de acción en la identificación y solución de problemas, reconociendo su importancia con el fin de crear un ambiente de calidad en las diferentes actividades, para desempeñar funciones y servicio de excelente calidad dentro y fuera de una empresa y de una sociedad.El presente trabajo se realiza con el fin de llevar a cabo un diagnóstico empresarial teniendo en cuenta la aplicación de concepto visto en el seminario sobre teorías y doctrinas organizacionales tales como la aplicación de la matriz DOFA, ciclo PVHA, espina de pescado y base gráficas de pareto, teniendo en cuenta el cronograma y el plan de acción en la identificación y solución de problemas, reconociendo su importancia con el fin de crear un ambiente de calidad en las diferentes actividades, para desempeñar funciones y servicio de excelente calidad dentro y fuera de una empresa y de una sociedad

High Temperature Long Period Grating Thermo-Mechanically Written

An optical fiber transducer able to work in high temperature environments is experimentally demonstrated in the laboratory. It is based on a permanent long period grating (LPG) written using a new technique based on a thermo-mechanical approach. Device precision was experimentally checked by means of repetitive thermal cycles between 25 and 950 °C. In addition device stability was assured by maintaining the temperature in steady state at 800 °C during 23 hours

Brillouin frequency shift of standard optical fibers set in water vapor medium

The dependence of the Brillouin frequency shift (BFS) on UV-cured acrylate coating and uncoated fibers for media that have different water vapor concentrations is experimentally investigated. The BFS is proportional to the temperature within the fiber, but it also depends on the water vapor contained in the surroundings of the fiber. A hypothesis based on the efficiency of the heat transfer due to the different humidity concentration in the media is proposed, and the temperature difference that depends on the heat transfer is quantified in standard fibers. A shift of ∼0.22 MHz for relative humidity change between 60% and 98% at 20°C is measure

Use of the Plasma Spectrum RMS Signal for Arc-Welding Diagnostics

A new spectroscopic parameter is used in this paper for on-line arc-welding quality monitoring. Plasma spectroscopy applied to welding diagnostics has typically relied on the estimation of the plasma electronic temperature, as there is a known correlation between this parameter and the quality of the seams. However, the practical use of this parameter gives rise to some uncertainties that could provoke ambiguous results. For an efficient on-line welding monitoring system, it is essential to prevent the appearance of false alarms, as well as to detect all the possible defects. In this regard, we propose the use of the root mean square signal of the welding plasma spectra, as this parameter will be proven to exhibit a good correlation with the quality of the resulting seams. Results corresponding to several arc-welding field tests performed on Inconel and titanium specimens will be discussed and compared to non-destructive evaluation techniques

Peridynamic Finite Element Modelling of Quasibrittle Structures

In a number of applications, large size structures subjected to loads that cause highly non-linear behavior need to be analyzed. With the peridynamic theory, proposed by Stewart Silling in 2000 and 2007, elasticity and damage in quasibrittle structures such as plain and reinforced concrete structures can be modeled with the peridynamic theory. To model these structures, lattice models with brittle beam elements are used to model concrete. A shortcoming of lattice and particle models is that they are highly demanding of computational power. Molecular dynamics may be, in some cases an appropriate tool for analyzing microcracks in quasibrittle materials in compression, but molecular dynamics becomes infeasible at scales larger than a few million atoms. For example, in masonry structures, cracks form in the brick mortar joints, and concrete blocks can be assumed to have a uniform displacement field. This allows us to use the peridynamic finite element model, which is an improvement over discrete lattice models. This model assumes a continuous displacement field within each finite element, with displacement discontinuities allowed to develop between finite elements. The objective of this work is to model cracks in quasibrittle structures, with the peridynamic model. The peridynamic finite element model is shown to be much more computer timeand memoryefficient than the similar discrete particle-based models. Results show that this implementation appears to be more computationally efficient than particle or lattice models

Objective ADHD diagnosis using convolutional neural networks over daily-life activity records

Attention Deficit/Hyperactivity Disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents. However, its etiology is still unknown, and this hinders the existence of reliable, fast and inexpensive standard diagnostic methods. Objective: This paper proposes an end-to-end methodology for automatic diagnosis of the combined type of ADHD. Methods: Diagnosis is based on the analysis of 24 hour-long activity records using Convolutional Neural Networks to classify spectrograms of activity windows. Results: We achieve up to 97.62% average sensitivity, 99.52% specificity and AUC values over 99%. Overall, our figures overcome those obtained by actigraphy-based methods reported in the literature as well as others based on more expensive (and not so convenient) acquisition methods. Conclusion: These results reinforce the idea that combining deep learning techniques together with actimetry can lead to a robust and efficient system for objective ADHD diagnosis. Significance: Reliance on simple activity measurements leads to an inexpensive and non-invasive objective diagnostic method, which can be easily implemented with daily devices