Fish Bulletin 181. California Marine Fish Landings for 1987-1999

Fish Landing bulletins provide basic records of amounts and values of marine resources taken by California's commercial fisheries, and summaries of catches by the passenger-carrying fishing industry. These figures are of local, national, and international significance tothose interested in the wise utilization and management of California's living marineresources.This report for 1987 through 1999 is the 38th in a series stemming from the firstgathering of commercial fisheries landing data by the California Department of Fish and Game (Department) in 1916 and the subsequent first publication of those landings data for the years 1926 and 1927 (Bureau of Commercial Fisheries, 1929)

School Parent attitudes and Perceptions Relating to animals, animal-Assisted interventions, and the Support of Children\u27s Mental Health

Growing awareness of the negative effects of trauma has led San Antonio, TX, school districts to expand efforts that can help mitigate these effects and support mental health. Given the literature around the psychological benefits of human-animal interactions, the concept of incorporating animals in treatments or interventions is not a new one. While schools have begun considering or utilizing animal-assisted interventions (AAIs), there have been limited efforts to understand existing perceptions relating to animals and AAIs among school parents in this Hispanic community. to address this gap, a cross-sectional study consisting of a 34-item survey was conducted to explore attitudes, knowledge, and perceptions relating to animals (i.e., pets), AAIs, and the need for supporting young children\u27s mental health among parents. A total of 187 surveys from two school districts were completed and utilized for analysis. The study\u27s findings demonstrate that parents acknowledged the importance of addressing mental health issues early on and were aware of the health benefits human-animal interactions can provide. Furthermore, parents had positive attitudes toward pets and positive perceptions toward AAIs in schools. Some implementation concerns were expressed relating to safety and well-being. Overall, these findings suggest there is existing parent support in using AAIs as a trauma-informed strategy and school innovation

Exploring School Staff Perceptions Relating to animals and their involvement in interventions to Support Mental Health

Given the growing awareness of the health benefits of human-animal interactions, the use of animal-assisted interventions (AAIs) in educational settings has increased over the years. While many school districts are now considering or utilizing AAIs, the literature investigating AAI-related perceptions among school stakeholders is limited with previous studies focusing on evaluating specific programs. to address this gap, a qualitative exploratory study was conducted using semi-structured interviews with school staff in the San Antonio, TX community. A total of 11 interviews were completed with staff serving preschool and elementary school age children. Data collected from interviews were analyzed using thematic analysis. Findings demonstrated that participating staff had some knowledge of the potential benefits of human-animal interactions and perceived the involvement of animals in interventions to be beneficial to children\u27s emotions and social-emotional skills. While perceptions of AAIs were generally positive, concerns around children\u27s safety and well-being were expressed as potential barriers in the adoption of AAIs in schools. These findings are preliminary and provide a segue to future research that can help expand our understanding of how school staff perceive AAIs, their impact on children\u27s mental health, their compatibility with school values, and their advantage relative to other interventions

Joint modelling of multi-scale animal movement data using hierarchical hidden Markov models

1.Hidden Markov models are prevalent in animal movement modelling, where they are widely used to infer behavioural modes and their drivers from various types of telemetry data. To allow for meaningful inference, observations need to be equally spaced in time, or otherwise regularly sampled, where the corresponding temporal resolution strongly affects what kind of behaviours can be inferred from the data. 2.Recent advances in biologging technology have led to a variety of novel telemetry sensors which often collect data from the same individual simultaneously at different time scales, e.g. step lengths obtained from GPS tags every hour, dive depths obtained from time‐depth recorders once per dive, or accelerations obtained from accelerometers several times per second. However, to date, statistical machinery to address the corresponding complex multi‐stream and multi‐scale data is lacking. 3.We propose hierarchical hidden Markov models as a versatile statistical framework that naturally accounts for differing temporal resolutions across multiple variables. In these models, the observations are regarded as stemming from multiple, connected behavioural processes, each of which operates at the time scale at which the corresponding variables were observed. 4.By jointly modelling multiple data streams, collected at different temporal resolutions, corresponding models can be used to infer behavioural modes at multiple time scales, and in particular help to draw a much more comprehensive picture of an animal's movement patterns, e.g. with regard to long‐term vs. short‐term movement strategies. 5.The suggested approach is illustrated in two real‐data applications, where we jointly model i) coarse‐scale horizontal and fine‐scale vertical Atlantic cod (Gadus morhua) movements throughout the English Channel, and ii) coarse‐scale horizontal movements and corresponding fine‐scale accelerations of a horn shark (Heterodontus francisci) tagged off the Californian coast

Prostephanus truncatus (horn) como factor de deterioro en mazorcas de maíz en condiciones de campo y su relación con su dirección en tres áreas geográficas constrastestes.

Se estudió la capacidad de daño de Prostephanus truncatus para barrenar mazorcas de maíz, en condiciones de campo y su relación con la densidad del insecto en el campo, lejos de los almacenes en tres estados de México, Sonora, Nuevo León y San Luis Potosí. Se estableció una estación de muestro por cuadruplicado en cada estado. Las densidades del insecto se obtuvieron mediante trampas delta cebadas con la feromona, Trunc-call y el daño por el insecto se midió en mazorcas colocadas en jaulas de malla de alambre cercanas a las trampas. Durante un año, cada mes se recogieron las trampas y repusieron por otras nuevas. Uno de los paquetes de mazorcas se recogió cada tres meses y el otro a los seis meses. La densidades de P. truncatus capturados fueron de 649 para San Luis Potosí, 45 para Sonora y 33 para Nuevo León. En ninguno de los tres estados se observó daño en las mazorcas por el barrenador a los 28 días, tampoco a los seis meses en Nuevo León y Sonora, pero sí fueron barrenadas un 15.15% en San Luis Potosí, lo cual coincide con la mayor densidad de insectos capturados

Adaptive optical interconnects: The ADDAPT project

Existing optical networks are driven by dynamic user and application demands but operate statically at their maximum performance. Thus, optical links do not offer much adaptability and are not very energy-effcient. In this paper a novel approach of implementing performance and power adaptivity from system down to optical device, electrical circuit and transistor level is proposed. Depending on the actual data load, the number of activated link paths and individual device parameters like bandwidth, clock rate, modulation format and gain are adapted to enable lowering the components supply power. This enables exible energy-efficient optical transmission links which pave the way for massive reductions of CO2 emission and operating costs in data center and high performance computing applications. Within the FP7 research project Adaptive Data and Power Aware Transceivers for Optical Communications (ADDAPT) dynamic high-speed energy-efficent transceiver subsystems are developed for short-range optical interconnects taking up new adaptive technologies and methods. The research of eight partners from industry, research and education spanning seven European countries includes the investigation of several adaptive control types and algorithms, the development of a full transceiver system, the design and fabrication of optical components and integrated circuits as well as the development of high-speed, low-loss packaging solutions. This paper describes and discusses the idea of ADDAPT and provides an overview about the latest research results in this field

Expression of miRNA-106b in conventional renal cell carcinoma is a potential marker for prediction of early metastasis after nephrectomy

<p>Abstract</p> <p>Background</p> <p>MicroRNAs are endogenously expressed regulatory noncoding RNAs. Previous studies have shown altered expression levels of several microRNAs in renal cell carcinoma.</p> <p>Methods</p> <p>We examined the expression levels of selected microRNAs in 38 samples of conventional renal cell carcinoma (RCC) and 10 samples of non-tumoral renal parenchyma using TaqMan real-time PCR method.</p> <p>Results</p> <p>The expression levels of miRNA-155 (p < 0.0001), miRNA-210 (p < 0.0001), miRNA-106a (p < 0.0001) and miRNA-106b (p < 0.0001) were significantly over-expressed in tumor tissue, whereas the expression of miRNA-141 (p < 0.0001) and miRNA-200c (p < 0.0001) were significantly decreased in RCC samples. There were no significant differences between expression levels of miRNA-182 and miRNA-200b in tumor samples and renal parenchyma. Our data suggest that expression levels of miRNA-106b are significantly lower in tumors of patients who developed metastasis (p = 0.030) and miR-106b is a potential predictive marker of early metastasis after nephrectomy in RCC patients (long-rank p = 0.032).</p> <p>Conclusions</p> <p>We have confirmed previous observations obtained by miRNA microarray analysis using standardized real-time PCR method. For the first time, we have identified a prognostic significance of miRNA-106b, which, after validation on a larger group of patients, maybe useful as a promising biomarker in patients with RCC.</p

Scaling marine fish movement behavior from individuals to populations

Understanding how, where, and when animals move is a central problem in marine ecology and conservation. Key to improving our knowledge about what drives animal movement is the rising deployment of telemetry devices on a range of free‐roaming species. An increasingly popular way of gaining meaningful inference from an animal's recorded movements is the application of hidden Markov models (HMMs), which allow for the identification of latent behavioral states in the movement paths of individuals. However, the use of HMMs to explore the population‐level consequences of movement is often limited by model complexity and insufficient sample sizes. Here, we introduce an alternative approach to current practices and provide evidence of how the inclusion of prior information in model structure can simplify the application of HMMs to multiple animal movement paths with two clear benefits: (a) consistent state allocation and (b) increases in effective sample size. To demonstrate the utility of our approach, we apply HMMs and adapted HMMs to over 100 multivariate movement paths consisting of conditionally dependent daily horizontal and vertical movements in two species of demersal fish: Atlantic cod (Gadus morhua; n = 46) and European plaice (Pleuronectes platessa; n = 61). We identify latent states corresponding to two main underlying behaviors: resident and migrating. As our analysis considers a relatively large sample size and states are allocated consistently, we use collective model output to investigate state‐dependent spatiotemporal trends at the individual and population levels. In particular, we show how both species shift their movement behaviors on a seasonal basis and demonstrate population space use patterns that are consistent with previous individual‐level studies. Tagging studies are increasingly being used to inform stock assessment models, spatial management strategies, and monitoring of marine fish populations. Our approach provides a promising way of adding value to tagging studies because inferences about movement behavior can be gained from a larger proportion of datasets, making tagging studies more relevant to management and more cost‐effective

Extended Thromboprophylaxis with Betrixaban in Acutely Ill Medical Patients

Background Patients with acute medical illnesses are at prolonged risk for venous thrombosis. However, the appropriate duration of thromboprophylaxis remains unknown. Methods Patients who were hospitalized for acute medical illnesses were randomly assigned to receive subcutaneous enoxaparin (at a dose of 40 mg once daily) for 10±4 days plus oral betrixaban placebo for 35 to 42 days or subcutaneous enoxaparin placebo for 10±4 days plus oral betrixaban (at a dose of 80 mg once daily) for 35 to 42 days. We performed sequential analyses in three prespecified, progressively inclusive cohorts: patients with an elevated d-dimer level (cohort 1), patients with an elevated d-dimer level or an age of at least 75 years (cohort 2), and all the enrolled patients (overall population cohort). The statistical analysis plan specified that if the between-group difference in any analysis in this sequence was not significant, the other analyses would be considered exploratory. The primary efficacy outcome was a composite of asymptomatic proximal deep-vein thrombosis and symptomatic venous thromboembolism. The principal safety outcome was major bleeding. Results A total of 7513 patients underwent randomization. In cohort 1, the primary efficacy outcome occurred in 6.9% of patients receiving betrixaban and 8.5% receiving enoxaparin (relative risk in the betrixaban group, 0.81; 95% confidence interval [CI], 0.65 to 1.00; P=0.054). The rates were 5.6% and 7.1%, respectively (relative risk, 0.80; 95% CI, 0.66 to 0.98; P=0.03) in cohort 2 and 5.3% and 7.0% (relative risk, 0.76; 95% CI, 0.63 to 0.92; P=0.006) in the overall population. (The last two analyses were considered to be exploratory owing to the result in cohort 1.) In the overall population, major bleeding occurred in 0.7% of the betrixaban group and 0.6% of the enoxaparin group (relative risk, 1.19; 95% CI, 0.67 to 2.12; P=0.55). Conclusions Among acutely ill medical patients with an elevated d-dimer level, there was no significant difference between extended-duration betrixaban and a standard regimen of enoxaparin in the prespecified primary efficacy outcome. However, prespecified exploratory analyses provided evidence suggesting a benefit for betrixaban in the two larger cohorts. (Funded by Portola Pharmaceuticals; APEX ClinicalTrials.gov number, NCT01583218. opens in new tab.