Family Relationships and Depression among Elderly Korean Immigrants

The purposes of the study were to describe family relationships within the context of living arrangements (living with adult children or without adult children) and support network, and to further determine associations of these factors to depression in elderly Korean immigrants. Over 70% (N = 160) of Korean elders were found to live apart from their adult children. However, Korean elders who were living independently reported higher levels of depression in spite of their expressed desire to live independently and to be less dependent upon their adult children. These findings suggest that family support and close relationships with their adult children play a central role in adjusting to a new life and in preventing and/or lessening depression in elderly Korean immigrants

Racial Microaggressions within the Field of Nursing

Racial microaggressions (RM) have transitioned into a subtle form of contemporary racism and are potentially involved within our communication as healthcare providers. Though cultural competency is addressed within nursing education, this RM phenomenon continues to happen in everyday discourse and can occur with little or no awareness on the part of Caucasians. The aim of this study was to gain a better understanding of how RMs against African Americans exist within the field of nursing and how their underlying discrimination increases the marginalization of this community. A detailed search was conducted using CINAHL, PsycInfo and ProQuest databases using the keywords: racial microaggressions, subtle racism, African Americans, nursing, health disparities, health outcomes, healthcare, cultural competency. Peer-reviewed studies written in English and published between 2008 to 2017 were considered. This review discusses the chronic presence of RMs against the African American population and identified the defining characteristics of RM within the nursing literature. Their effect on the marginalization of this community was organized into two major pathways of stress suffered by the individual: psychological stress and biological stress. RMs within an institutionalized healthcare system were associated with decreased level of care and ultimately contribute to the ongoing health disparities suffered on the part by the African American population

First anatomical network analysis of fore- and hindlimb musculoskeletal modularity in bonobos, common chimpanzees, and humans

Studies of morphological integration and modularity, and of anatomical complexity in human evolution typically focus on skeletal tissues. Here we provide the first network analysis of the musculoskeletal anatomy of both the fore- and hindlimbs of the two species of chimpanzee and humans. Contra long-accepted ideas, network analysis reveals that the hindlimb displays a pattern opposite to that of the forelimb: Pan big toe is typically seen as more independently mobile, but humans are actually the ones that have a separate module exclusively related to its movements. Different fore- vs hindlimb patterns are also seen for anatomical network complexity (i.e., complexity in the arrangement of bones and muscles). For instance, the human hindlimb is as complex as that of chimpanzees but the human forelimb is less complex than in Pan. Importantly, in contrast to the analysis of morphological integration using morphometric approaches, network analyses do not support the prediction that forelimb and hindlimb are more dissimilar in species with functionally divergent limbs such as bipedal humans

Antimicrobial resistance in human populations: challenges and opportunities.

Antimicrobial resistance (AMR) is a global public health threat. Emergence of AMR occurs naturally, but can also be selected for by antimicrobial exposure in clinical and veterinary medicine. Despite growing worldwide attention to AMR, there are substantial limitations in our understanding of the burden, distribution and determinants of AMR at the population level. We highlight the importance of population-based approaches to assess the association between antimicrobial use and AMR in humans and animals. Such approaches are needed to improve our understanding of the development and spread of AMR in order to inform strategies for the prevention, detection and management of AMR, and to support the sustainable use of antimicrobials in healthcare

A kilobit hidden SNFS discrete logarithm computation

We perform a special number field sieve discrete logarithm computation in a 1024-bit prime field. To our knowledge, this is the first kilobit-sized discrete logarithm computation ever reported for prime fields. This computation took a little over two months of calendar time on an academic cluster using the open-source CADO-NFS software. Our chosen prime $p$ looks random, and $p--1$ has a 160-bit prime factor, in line with recommended parameters for the Digital Signature Algorithm. However, our p has been trapdoored in such a way that the special number field sieve can be used to compute discrete logarithms in $\mathbb{F}\_p^*$ , yet detecting that p has this trapdoor seems out of reach. Twenty-five years ago, there was considerable controversy around the possibility of back-doored parameters for DSA. Our computations show that trapdoored primes are entirely feasible with current computing technology. We also describe special number field sieve discrete log computations carried out for multiple weak primes found in use in the wild. As can be expected from a trapdoor mechanism which we say is hard to detect, our research did not reveal any trapdoored prime in wide use. The only way for a user to defend against a hypothetical trapdoor of this kind is to require verifiably random primes

Occurrence of toxigenic microalgal species and phycotoxins accumulation in mesozooplankton in Northern Patagonian gulfs, Argentina

In the Northern Patagonian gulfs of Argentina (Golfo Nuevo and Golfo San José), blooms of toxigenic microalgae and the detection of their associated phycotoxins are recurrent phenomena. The present study evaluated the transfer of phycotoxins from toxigenic microalgae to mesozooplankton in Golfo Nuevo and Golfo San José throughout an annual cycle (December 2014–2015 and January 2015–2016, respectively). In addition, solid‐phase adsorption toxin tracking (SPATT) samplers were deployed for the first time in these gulfs, to estimate the occurrence of phycotoxins in the seawater between the phytoplankton samplings. Domoic acid was present throughout the annual cycle in SPATT samplers, whereas no paralytic shellfish poisoning toxins were detected. Ten toxigenic species were identified: Alexandrium catenella, Dinophysis acuminata, Dinophysis acuta, Dinophysis tripos, Dinophysis caudata, Prorocentrum lima, Pseudo‐nitzschia australis, Pseudo‐nitzschia calliantha, Pseudo‐nitzschia fraudulenta, and Pseudo‐nitzschia pungens. Lipophilic and hydrophilic toxins were detected in phytoplankton and mesozooplankton from both gulfs. Pseudo‐nitzschia spp. were the toxigenic species most frequent in these gulfs. Consequently, domoic acid was the phycotoxin most abundantly detected and transferred to upper trophic levels. Spirolides were detected in phytoplankton and mesozooplankton for the first time in the study area. Likewise, dinophysistoxins were found in mesozooplankton from both gulfs, and this is the first report of the presence of these phycotoxins in zooplankton from the Argentine Sea. The dominance of calanoid copepods indicates that they were the primary vector of phycotoxins in the pelagic trophic web.Fil: D'Agostino, Valeria C.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; ArgentinaFil: Krock, Bernd. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; AlemaniaFil: Degrati, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Sastre, Viviana. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Santinelli, Norma Herminia. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Krohn, Torben. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; AlemaniaFil: Hoffmeyer, Mónica S.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentin

Evaluation of Health Literacy and Depression Literacy Among Korean Americans

Low health literacy is closely related to a higher rate of hospitalization and of emergency services usage, leading to billions of dollars in avoidable health care costs and contributing to individuals’ poor physical and mental health. While Korean Americans (KAs) have a high prevalence of general health and mental health problems, relatively little is known about their health and mental health literacy, specifically their depression literacy. This study aims to evaluate KAs’ health literacy and depression literacy, as related to sociodemographic characteristics. An exploratory study was conducted with 681 community-residing adult KAs using the Center for Epidemiologic Studies Depression (CES-D) Scale, the Depression Literacy Questionnaire (D-Lit), and the One-Question Health Literacy Scale. Data analyses were performed using one-way analysis of variance and ordinal logistic regression of health literacy, a multiple linear regression model of depression literacy. Findings indicate a positive correlation between depression literacy and health literacy. Health literacy was also significantly related to religion, English language proficiency, income, education, and perceived physical health. Additionally, depression literacy was significantly related to age, Korean language preference over English, and education. Health literacy and depression literacy education are warranted to address low health literacy and depression literacy among KAs to reduce their health and mental health disparities

Investigating the production provenance of iron artifacts with multivariate methods

The quest for suitable data, data treatments and statistical methods for identifying the provenance of iron artifacts has led to a variety of analytical strategies. Researchers working on the problem have been slow to develop or adopt the use of multivariate statistical techniques, despite their successful implementation in other archaeomaterials sourcing frameworks. This paper explores the analytical potential of a comprehensive multivariate statistical strategy for identifying the primary production origins of bloomery iron artifacts using bulk chemical analyses of bloomery smelting slag and slag inclusions in iron artifacts. This strategy includes a multivariate model for identifying distinct slag inclusion types introduced during smelting and refining. Principal component analysis and linear discriminant analysis are then applied to smelting slag training sets to create multivariate provenance fields, the chemical distributions of which are defined by kernel density estimation. Single and multi-group evaluation methods are examined. Appropriate data transformations are discussed to facilitate the projection of the chemistry of “unknown” slag inclusions into the multidimensional space generated by the smelting slag groups of known provenance. The efficacy of this strategy is demonstrated through its application to a previously examined data set derived from three iron production experiments and a published archaeological example. Results indicate that an appropriately designed multivariate strategy can be an effective tool for evaluating provenance hypotheses for bloomery iron artifacts