Latinos in Massachusetts: Legal Immigration to New England During the 1990s

This fact sheet summarizes information about legal immigration flows to the New England Region during the 1990s employing Immigration and Naturalization Service data. Although the annual number of legal permanent residents (e.g., green card holders) from Latin America and the Caribbean fell during the decade, as a percent of all legal immigrants who settled in New England their representation rose. Among all Latin American and Caribbean immigrants who settled in the region, more than half chose Massachusetts or Connecticut. And although most reported working in lower-skilled occupations, from 10 percent to 30 percent of immigrants from each c o u n t ry were working in professional, administrative, or technical support positions. Finally, at least 80 percent of all new legal permanent residents from each nation except Haiti relied on family-based entry categories to obtain their new status

The Changing Profile of Mexican Migrants to the United States: New Evidence from California and Mexico

Using recent data from southern California and Mexico we challenge the notion that the demographic profile of post-1970 Mexican migrants to the United States has remained constant. We find that more recent cohorts of migrants: (1) are more likely to settle permanently in the United States, (2) have higher proportions of females, (3) are younger, (4) have higher educational attainment, (5) are increasingly likely to originate in southern Mexico and the Mexico City Metropolitan area, and (6) are increasingly likely to depart from urban areas within Mexico. Although we find no direct evidence that the legalization programs mandated by the Immigration Reform and Control Act of 1986 led to a stronger propensity to settle permanently in the United States, logistic regression analyses demonstrate the importance of the other three principal explanatory factors suggested by Cornelius (1992), namely, economic crisis in Mexico, the changing character of U.S. demand for labor, and social networks

Foreword

The investment in space activities may be estimated in hundreds of billion of Euro and involves all G20 and BRIC countries. Why there is such a large interest, and why so many investments are allotted to space programs? Space is definitely an essential driver of economic growth. Aside from the obvious impact onto high-technology industry, many disciplines benefit from the development of space technologies. Climatology, environmental science, various medical sciences as well as telecommunication and—off course—military applications are just few areas that need space technologies and justify the launch of satellites. Nearly a thousand satellites are currently in orbit with the aim of observing the Earth and are used for telecommunications, navigation and positioning in addition to specific scientific research and to space exploration, with missions funded by many space agencies. Man is exploring the solar system by means of satellites in orbit around Mars and Venus, and exploration is now active on the surface of Mars. China, India, Japan, Europe and United States launched spacecrafts in orbit around the Moon and the International Space Station is inhabited ever since 2003. More than 50 nations are participating in this ''colonization'' of space; they all benefit from space technologies and information gathered by satellites. Italy is participating since 1963 with a significant contribution to the activities of the International Space Station (ISS). The Chinese space program accounts for tens of launches with many satellites placed into orbit already. The successful mission of Shenzhou–X has confirmed China advances in space technologies and its ambitions for the future. In the next few years, China will launch its own Space Station, where many challenging scientific experiments in the fields of astronomy, microgravity, medicine and radiobiology will be performed. This contribution is the written, peer-reviewed version of a paper presented at the workshop ''Cosmic Rays and Radiobiology in a SinoItaly Network Strategy: First Bilateral Workshop COSMIC-RAD'' held at Institute of Modern Physics, Chinese Academic of Science, in Lanzhou, Gansu Province, China on September 3–4, 2012

What's at Stake for the State: Undocumented Californians, Immigration Reform, and Our Future Together

Building off a methodology originally pioneered by co-author Enrico A.Marcelli (Demographer, Department ofSociology, San Diego State University) to estimate the unauthorized, this is the first report to estimate undocumented Californians at this breadth and level of detail. One in six California children has at least one undocumented parent and 81% of those children are citizens. Nearly half (49%) of undocumented Californians have lived here more than 10 years. Undocumented Californians comprise nearly 7% of the state's total population, 8% of all adults and 9% of the state's workforce.However, achievement of these gains will require a clear and quick roadmap to citizenship. To succeed, federal immigration reform needs to take immigrant integration seriously, and the state and local governments will need to invest in programs to raise education levels, increase English fluency and improve job skills as a way to maximize the potential of undocumented Californians and build a stronger state

The Fall and Rise of US Inequities in Premature Mortality: 1960–2002

Nancy Krieger and colleagues found evidence of decreasing, and then increasing or stagnating, socioeconomic and racial inequities in US premature mortality and infant death from 1960 to 2002

Cost-effectiveness analysis of online hemodiafiltration versus high-flux hemodialysis

BACKGROUND: Clinical studies suggest that hemodiafiltration (HDF) may lead to better clinical outcomes than high-flux hemodialysis (HF-HD), but concerns have been raised about the cost-effectiveness of HDF versus HF-HD. Aim of this study was to investigate whether clinical benefits, in terms of longer survival and better health-related quality of life, are worth the possibly higher costs of HDF compared to HF-HD. METHODS: The analysis comprised a simulation based on the combined results of previous published studies, with the following steps: 1) estimation of the survival function of HF-HD patients from a clinical trial and of HDF patients using the risk reduction estimated in a meta-analysis; 2) simulation of the survival of the same sample of patients as if allocated to HF-HD or HDF using three-state Markov models; and 3) application of state-specific health-related quality of life coefficients and differential costs derived from the literature. Several Monte Carlo simulations were performed, including simulations for patients with different risk profiles, for example, by age (patients aged 40, 50, and 60 years), sex, and diabetic status. Scatter plots of simulations in the cost-effectiveness plane were produced, incremental cost-effectiveness ratios were estimated, and cost-effectiveness acceptability curves were computed. RESULTS: An incremental cost-effectiveness ratio of €6,982/quality-adjusted life years (QALY) was estimated for the baseline cohort of 50-year-old male patients. Given the commonly accepted threshold of €40,000/QALY, HDF is cost-effective. The probabilistic sensitivity analysis showed that HDF is cost-effective with a probability of ~81% at a threshold of €40,000/QALY. It is fundamental to measure the outcome also in terms of quality of life. HDF is more cost-effective for younger patients. CONCLUSION: HDF can be considered cost-effective compared to HF-HD

Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer

Background: Benign renal tumors, such as renal oncocytoma (RO), can be erroneously diagnosed as malignant renal cell carcinomas (RCC), because of their similar imaging features. Computer-aided systems leveraging radiomic features can be used to better discriminate benign renal tumors from the malignant ones. The purpose of this work was to build a machine learning model to distinguish RO from clear cell RCC (ccRCC). Method: We collected CT images of 77 patients, with 30 cases of RO (39%) and 47 cases of ccRCC (61%). Radiomic features were extracted both from the tumor volumes identified by the clinicians and from the tumor’s zone of transition (ZOT). We used a genetic algorithm to perform feature selection, identifying the most descriptive set of features for the tumor classification. We built a decision tree classifier to distinguish between ROs and ccRCCs. We proposed two versions of the pipeline: in the first one, the feature selection was performed before the splitting of the data, while in the second one, the feature selection was performed after, i.e., on the training data only. We evaluated the efficiency of the two pipelines in cancer classification. Results: The ZOT features were found to be the most predictive by the genetic algorithm. The pipeline with the feature selection performed on the whole dataset obtained an average ROC AUC score of 0.87 ± 0.09. The second pipeline, in which the feature selection was performed on the training data only, obtained an average ROC AUC score of 0.62 ± 0.17. Conclusions: The obtained results confirm the efficiency of ZOT radiomic features in capturing the renal tumor characteristics. We showed that there is a significant difference in the performances of the two proposed pipelines, highlighting how some already published radiomic analyses could be too optimistic about the real generalization capabilities of the models

The potential of eupraxia@sparc_lab for radiation based techniques

A proposal for building a Free Electron Laser, EuPRAXIA@SPARC_LAB, at the Laboratori Nazionali di Frascati, is at present under consideration. This FEL facility will provide a unique combination of a high brightness GeV-range electron beam generated in a X-band RF linac, a 0.5 PW-class laser system and the first FEL source driven by a plasma accelerator. The FEL will produce ultra-bright pulses, with up to 1012 photons/pulse, femtosecond timescale and wavelength down to 3 nm, which lies in the so called “water window”. The experimental activity will be focused on the realization of a plasma driven short wavelength FEL able to provide high-quality photons for a user beamline. In this paper, we describe the main classes of experiments that will be performed at the facility, including coherent diffraction imaging, soft X-ray absorption spectroscopy, Raman spectroscopy, Resonant Inelastic X-ray Scattering and photofragmentation measurements. These techniques will allow studying a variety of samples, both biological and inorganic, providing information about their structure and dynamical behavior. In this context, the possibility of inducing changes in samples via pump pulses leading to the stimulation of chemical reactions or the generation of coherent excitations would tremendously benefit from pulses in the soft X-ray region. High power synchronized optical lasers and a TeraHertz radiation source will indeed be made available for THz and pump–probe experiments and a split-and-delay station will allow performing XUV-XUV pump–probe experiments.Fil: Balerna, Antonella. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Bartocci, Samanta. Università degli studi di Sassari; ItaliaFil: Batignani, Giovanni. Università degli studi di Roma "La Sapienza"; ItaliaFil: Cianchi, Alessandro. Universita Tor Vergata; Italia. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Chiadroni, Enrica. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Coreno, Marcello. Istituto Nazionale Di Fisica Nucleare.; Italia. Istituto di Struttura della Materia; ItaliaFil: Cricenti, Antonio. Istituto di Struttura della Materia; ItaliaFil: Dabagov, Sultan. Istituto Nazionale Di Fisica Nucleare.; Italia. National Research Nuclear University; Rusia. Lebedev Physical Institute; RusiaFil: Di Cicco, Andrea. Universita Degli Di Camerino; ItaliaFil: Faiferri, Massimo. Università degli studi di Sassari; ItaliaFil: Ferrante, Carino. Università degli studi di Roma “La Sapienza”; Italia. Center for Life Nano Science @Sapienza; ItaliaFil: Ferrario, Massimo. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Fumero, Giuseppe. Università degli studi di Roma “La Sapienza”; ItaliaFil: Giannessi, Luca. Elettra-Sincrotrone Trieste; Italia. ENEA C.R. Frascati; ItaliaFil: Gunnella, Roberto. Universita Degli Di Camerino; ItaliaFil: Leani, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaFil: Lupi, Stefano. Università degli studi di Roma “La Sapienza”; Italia. Istituto Nazionale di Fisica Nucleare (INFN) Sezione di Roma La Sapienza; ItaliaFil: Macis, Salvatore. Università degli Studi di Roma Tor Vergata; Italia. Istituto Nazionale di Fisica Nucleare (INFN) Sezione di Roma Tor Vergata; ItaliaFil: Manca, Rosa. Università degli studi di Sassari; ItaliaFil: Marcelli, Augusto. Istituto Nazionale Di Fisica Nucleare.; Italia. Consiglio Nazionale delle Ricerche; ItaliaFil: Masciovecchio, Claudio. Elettra-Sincrotrone Trieste; ItaliaFil: Minicucci, Marco. Universita Degli Di Camerino; ItaliaFil: Morante, Silvia. Universita Tor Vergata; Italia. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Perfetto, Enrico. Universita Tor Vergata; Italia. Consiglio Nazionale delle Ricerche; ItaliaFil: Petrarca, Massimo. Università degli studi di Roma "La Sapienza"; Italia. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Pusceddu, Fabrizio. Università degli studi di Sassari; ItaliaFil: Rezvani, Javad. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Robledo, José Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaFil: Rossi, Giancarlo. Centro Fermi—Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi”; Italia. Istituto Nazionale Di Fisica Nucleare.; Italia. Universita Tor Vergata; ItaliaFil: Sanchez, Hector Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaFil: Scopigno, Tullio. Center for Life Nano Science @Sapienza; Italia. Università degli studi di Roma "La Sapienza"; ItaliaFil: Stefanucci, Gianluca. Universita Tor Vergata; Italia. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Stellato, Francesco. Universita Tor Vergata; Italia. Istituto Nazionale Di Fisica Nucleare.; ItaliaFil: Trapananti, Angela. Universita Degli Di Camerino; ItaliaFil: Villa, Fabio. Istituto Nazionale Di Fisica Nucleare.; Itali