The Acute Effects of Different Warm-up Techniques of Power Output, Agility, and Flexibility in Athletes

PURPOSE: The purpose of this study is: 1) To determine which warm-up technique (general warm-up (GW), dynamic warm-up (DW), weighted vest warm-up using body weight percentage [VW], and elastic exercise band training system warm-up [EEBTSW]) will provide the best and longest effect on athletes’ performance regarding power output, agility, and flexibility. 2) To compare if there are any differences in power output, agility, and flexibility when using different resistance protocols (VW and EEBTSW) as warm-up techniques. 3) To determine which warm-up will benefit the athletes’ performance. 4) To compare the hemodynamic responses to different warm-up techniques. METHODS: Thirty-one male (age= 21.93 (2.71) n=15) and female (age= 21.25 (1.77), n=16) athletes performed four different type of warm-up on for separate occasions separate by at least 48 hours. Each of the sessions were randomized into the following conditions: GW (Control), DW, VW, and EEBTSW. During each warm-up, heart rate (HR), blood pressure (BP), and rate of perceived exertion (RPE) were recorded throughout the study. After the warm-up, flexibility, counter movement jump (CMJ), and T-test were performed. Flexibility and CMJ were tested every 2,6,10, 14, and 18 minutes, and T-test was tested every 2, 10, and 18 minutes. RESULTS: There were significant condition*time interactions for HR, BP, and RPE (p\u3c0.01) and significant condition and time main effects (p\u3c0.01). No significant difference was found between conditions for flexibility, but there was a significant time difference (p\u3c0.01). Both VW and EEBTSW were significantly better than GW at two and six minutes post warm-up for power. At ten minutes post warm-up, EEBTSW was vi significantly better in power than DW. EEBTSW and VW was significantly better than GW for agility at two-minute mark (p\u3c0.01). CONCLUSION: The findings showed that the effects of both EEBTSW and VW on power lasted for six minutes compared to GW. In addition, both resistance warm-up techniques resulted in a better agility performance at two-minute mark following warmup. This suggests that using resistance warm-ups would be ideal for those individuals, who perform activities requiring high levels of power and agility

Why don't lenders renegotiate more home mortgages? redefaults, self-cures, and securitization

We document the fact that servicers have been reluctant to renegotiate mortgages since the foreclosure crisis started in 2007, having performed payment-reducing modifications on only about 3 percent of seriously delinquent loans. We show that this reluctance does not result from securitization: Servicers renegotiate similarly small fractions of loans that they hold in their portfolios. Our results are robust to different definitions of renegotiation, including the one most likely to be affected by securitization, and to different definitions of delinquency. Our results are strongest in subsamples in which unobserved heterogeneity between portfolio and securitized loans is likely to be small and in subprime loans. We use a theoretical model to show that redefault risk, the possibility that a borrower will still default despite costly renegotiation, and self-cure risk, the possibility that a seriously delinquent borrower will become current without renegotiation, make renegotiation unattractive to investors.

Severe thunderstorms with large hail across Germany in June 2019

From 10 to 12 June 2019, severe thunderstorms affected large parts of Germany. Hail larger than golf ball size caused considerable damage, especially in the Munich area where losses amount to EUR 1 billion. This event thus ranks among the ten most expensive hail events in Europe in the last 40 years. Atmospheric blocking in combination with a moist, unstably stratified air mass provided an excellent setting for the development of severe, hail‐producing thunderstorms across the country. imageGerman Research Foundation http://dx.doi.org/10.13039/50110000165

Racial Disparities in Quality-Adjusted Life-Years Associated With Diabetes and Visual Impairment

OBJECTIVE Compare differences in health-related quality of life among blacks and whites to examine if race, diabetes, and visual impairment (VI) present a triple disadvantage in terms of quality-adjusted life expectancy. RESEARCH DESIGN AND METHODS Data were analyzed from the 2000–2003 Medical Expenditure Panel Survey, a nationally representative survey that contains the EuroQol 5D (EQ-5D). The EQ-5D generates health utility values that provide a measure of the morbidity associated with various health states, such as having moderate or severe problems with mobility. The EQ-5D score can be linked with life expectancy data to calculate quality-adjusted life-years (QALYs), the number of years of optimal health an individual is expected to live. Multivariate analyses were conducted to estimate and compare differences in QALYs by diabetes status, VI status, and race. RESULTS Whites had a higher quality-adjusted life expectancy across all diabetes/VI comparisons. Overall, blacks with diabetes and VI had the fewest number of QALYs remaining (19.6 years), and whites with no impairment had the greatest number of QALYs remaining (31.6 years). Blacks with diabetes only had 1.7 fewer years of optimal health (fewer QALYs) than whites with diabetes. Within individuals with both diabetes and VI, however, this gap more than doubled, with blacks experiencing 3.5 fewer QALYs than whites. CONCLUSIONS Although efforts to target and reduce racial health disparities associated with diabetes appear to be effective, black communities may be contributing to a greater overall burden of illness given poorer infrastructure and less accommodation for disabilities such as VI

Conducción civil de la defensa en Honduras : retos y desafíos

El objetivo central del presente proyecto está orientado a contribuir en la difusión del conocimiento especializado sobre los asuntos relacionados con el sector defensa, promoviendo los valores, costumbres y hábitos inherentes a una cultura política democrática que asegure el normal funcionamiento de las instituciones castrenses, su subordinación debida ante las autoridades civiles y su ealtad segura a los principios de la Constitución de la República y demás leyes del Estado hondureño

A tumor-stroma targeted oncolytic adenovirus replicated in human ovary cancer samples and inhibited growth of disseminated solid tumors in mice

Targeting the tumor stroma in addition to the malignant cell compartment is of paramount importance to achieve complete tumor regression. In this work, we modified a previously designed tumor stroma-targeted conditionally replicative adenovirus (CRAd) based on the SPARC promoter by introducing a mutated E1A unable to bind pRB and pseudotyped with a chimeric Ad5/3 fiber (Ad F512v1), and assessed its replication/lytic capacity in ovary cancer in vitro and in vivo. AdF512v1 was able to replicate in fresh samples obtained from patients: (i) with primary human ovary cancer; (ii) that underwent neoadjuvant treatment; (iii) with metastatic disease. In addition, we show that four intraperitoneal (i.p.) injections of 5 × 10(10) v.p. eliminated 50% of xenografted human ovary tumors disseminated in nude mice. Moreover, AdF512v1 replication in tumor models was enhanced 15-40-fold when the tumor contained a mix of malignant and SPARC-expressing stromal cells (fibroblasts and endothelial cells). Contrary to the wild-type virus, AdF512v1 was unable to replicate in normal human ovary samples while the wild-type virus can replicate. This study provides evidence on the lytic capacity of this CRAd and highlights the importance of targeting the stromal tissue in addition to the malignant cell compartment to achieve tumor regression.Fil: Lopez, Maria Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; ArgentinaFil: Rivera, Angel A.. University Of Alabama At Birmingahm; Estados UnidosFil: Viale, Diego Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; ArgentinaFil: Benedetti, Lorena Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; ArgentinaFil: Cuneo, Nicasio. Hospital Municipal de Oncología Marie Curie; ArgentinaFil: Kimball, Kristopher J.. University Of Alabama At Birmingahm; Estados UnidosFil: Wang, Minghui. University Of Alabama At Birmingahm. School Of Medicine. Division Of Human Gene Therapy; Estados UnidosFil: Douglas, Joanne T.. University Of Alabama At Birmingahm. School Of Medicine. Division Of Human Gene Therapy; Estados UnidosFil: Zhu, Zeng B.. University Of Alabama At Birmingahm. School Of Medicine. Division Of Human Gene Therapy; Estados UnidosFil: Bravo, Alicia I.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Interzonal de Agudos "eva Peron"; ArgentinaFil: Gidekel, Manuel. Universidad de la Frontera; ChileFil: Alvarez, Ronald D.. University Of Alabama At Birmingahm; Estados UnidosFil: Curiel, David T.. University Of Alabama At Birmingahm. School Of Medicine. Division Of Human Gene Therapy; Estados Unidos. University of Washington; Estados UnidosFil: Podhajcer, Osvaldo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; Argentin

From Data to Causes II: Comparing Approaches to Panel Data Analysis

This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three “static” models that do not incorporate temporal dynamics: random- and fixed-effects models that estimate contemporaneous relationships; and latent curve models. We then describe “dynamic” models that incorporate temporal dynamics in the form of lagged effects: cross-lagged models estimated in a structural equation model (SEM) or multilevel model (MLM) framework; Arellano-Bond dynamic panel data methods; and autoregressive latent trajectory models. We describe the implications of overlooking temporal dynamics in static models and show how even popular cross-lagged models fail to control for stable factors over time. We also show that Arellano-Bond and autoregressive latent trajectory models have various shortcomings. By contrasting these approaches, we clarify the benefits and drawbacks of common methods for modeling panel data, including the GCLM approach we propose. We conclude with a discussion of issues regarding causal inference, including difficulties in separating different types of time-invariant and time-varying effects over time

From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM)

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or “small variance” priors (including so-called “Minnesota priors”) while extending prior work on the general cross-lagged panel model (GCLM). Using a panel dataset of national income and subjective well-being (SWB) we describe three key benefits of these priors. First, they shrink parameter estimates toward zero or toward each other for time-varying parameters, which lends additional support for an income → SWB effect that is not supported with maximum likelihood (ML). This is useful because, second, these priors increase model parsimony and the stability of estimates (keeping them within more reasonable bounds) and thus improve out-of-sample predictions and interpretability, which means estimated effect should also be more trustworthy than under ML. Third, these priors allow estimating otherwise under-identified models under ML, allowing higher-order lagged effects and time-varying parameters that are otherwise impossible to estimate using observed data alone. In conclusion we note some of the responsibilities that come with the use of priors which, departing from typical commentaries on their scientific applications, we describe as involving reflection on how best to apply modeling tools to address matters of worldly concern

The Pristine survey -- XXIII. Data Release 1 and an all-sky metallicity catalogue based on Gaia DR3 BP/RP spectro-photometry

We use the spectro-photometric information of ~219 million stars from Gaia's DR3 to calculate synthetic, narrow-band, metallicity-sensitive CaHK magnitudes that mimic the observations of the Pristine survey, a survey of photometric metallicities of Milky Way stars that has been mapping more than 6,500 deg^2 of the northern sky with the CFHT since 2015. These synthetic magnitudes are used for an absolute re-calibration of the deeper Pristine photometry and, combined with broadband Gaia information, synthetic and Pristine CaHK magnitudes are used to estimate photometric metallicities over the whole sky. The resulting metallicity catalogue is accurate down to [Fe/H]~-3.5 and is particularly suited for the exploration of the metal-poor Milky Way ([Fe/H]<-1.0). We make available here the catalogue of synthetic CaHK_syn magnitudes for all stars with BP/RP information in Gaia DR3, as well as an associated catalogue of more than ~30 million photometric metallicities for high S/N FGK stars. This paper further provides the first public DR of the Pristine catalogue in the form of higher quality recalibrated Pristine CaHK magnitudes and photometric metallicities for all stars in common with the BP/RP information in Gaia DR3. We demonstrate that, when available, the much deeper Pristine data greatly enhances the quality of the derived metallicities, in particular at the faint end of the catalogue (G_BP>16). Combined, both catalogues include more than 2 million metal-poor star candidates as well as more than 200,000 and ~8,000 very and extremely metal-poor candidates. Finally, we show that these metallicity catalogues can be used efficiently, among other applications, for Galactic archaeology, to hunt for the most metal-poor stars, and to study how the structure of the Milky Way varies with metallicity, from the flat distribution of disk stars to the spheroid-shaped metal-poor halo. (Shortened)Comment: 30 pages, 24 figures, submitted to A&A. First two authors are co-first author. The CaHK photometry catalogue and the two photometric metallicity catalogues are available, before acceptance, as large compressed csv files at: https://seafile.unistra.fr/d/ee0c0f05719d4368bcbb