3,515 research outputs found
Relationship of Participation Pregnant Women in The Pregnant Classes with Anxiety in The Working Area of Oelolok Health Service Centre, North Central Timor Regency
Anxiety during pregnancy is caused by fear. Fear of increased pain, fear of damage or deformity such as episiotomy, rupture, stitches or cesarean section, and mothers fear injuring their babies. The mother's knowledge factor in dealing with childbirth is a very important factor affecting the smoothness of the birth process. The purpose of this study was to determine whether there was a relationship between the participation of pregnant women in the pregnant class and the level of anxiety in facing childbirth among pregnant women in the working area of the Oelolok Puskesmas. The study design used in this study was a quasi-experimental model. There is a relationship between the participation of pregnant women in pregnancy classes and the level of anxiety in facing childbirt
Implementing measurable goals for diversity, equity, and inclusion in Clinical and Translational Science Awards leadership
Charting a benchmarking strategy is recommended to measure improvements in equal leadership opportunities for minorities and women in the Clinical Translational Science Awards Consortium (CTSAs). Academic institutions that support diversity, equity, and inclusion (DEI) initiatives should demonstrate a willingness to track their progress with established metrics. In the fall of 2020, the CTSAs convened a virtual conference, which started a dialogue on developing measurable objectives to ensure accountability for DEI goals. Using qualitative and quantitative data from breakout sessions, the authors analyze participant responses to the following recommendation, “develop a common metric and dashboard with regular reporting on diversity in CTSA leadership, with an emphasis on increasing female and Black Indigenous, People Of Color (BIPOC) representation to 30% each,” to understand the impact and challenges associated with implementing metrics within CTSAs. Thematic analysis revealed that white supremacist culture and demographic composition are obstacles to establishing metrics. Participants expressed uncertainty about the perception of token roles. Additionally, participants believed that DEI targets can increase diversity in perspectives and approaches to translational science. Implications for CTSAs include establishing CTSA-wide benchmarks for DEI initiatives, which includes a baseline of the existing DEI climate to assess institutional norms and measurable objectives to track progress
Improving the equity landscape at U.S. academic institutions: 10 strategies to lead change
In the United States, disparities with respect to race, ethnicity, and gender are common across academic institutions, particularly those that are large and have health research-oriented missions. Disparity-affected issues include leadership roles, funding, tenure, and salary. This paper presents a review of the current literature describing those disparities, with a focus on health professions serving major universities in the United States, and proposes approaches to create greater diversity, equity, inclusion and belonging (DEIB) within them. While many organizations nationally are working to address DEIB disparities, academic institutions can benefit from implementing structured approaches and training to nurture their cultures, foster DEIB, and promote psychological safety. We present a literature-based 10-component approach institutions can adopt with relative ease and thus positively support advancing their DEIB engagement. These 10 strategies include the following: Clearly stating DEI values; Conducting gap analyses to identify issues; Using incentives to propel change; Removing bias from recruiting processes; Implementing blind applications processes; Diversifying selection committees; Creating inter-institutional partnerships that truly represent shared power; Developing people and the pipeline; Formalizing mentorship and sponsorship programs; and instituting anti-bias training. Easily implementable strategies can both foster change and build the will and confidence to pursue larger DEIB goals in the future
Multiplicative random walk Metropolis-Hastings on the real line
In this article we propose multiplication based random walk Metropolis
Hastings (MH) algorithm on the real line. We call it the random dive MH (RDMH)
algorithm. This algorithm, even if simple to apply, was not studied earlier in
Markov chain Monte Carlo literature. The associated kernel is shown to have
standard properties like irreducibility, aperiodicity and Harris recurrence
under some mild assumptions. These ensure basic convergence (ergodicity) of the
kernel. Further the kernel is shown to be geometric ergodic for a large class
of target densities on . This class even contains realistic target
densities for which random walk or Langevin MH are not geometrically ergodic.
Three simulation studies are given to demonstrate the mixing property and
superiority of RDMH to standard MH algorithms on real line. A share-price
return data is also analyzed and the results are compared with those available
in the literature
Revisiting protein aggregation as pathogenic in sporadic Parkinson and Alzheimer diseases.
The gold standard for a definitive diagnosis of Parkinson disease (PD) is the pathologic finding of aggregated α-synuclein into Lewy bodies and for Alzheimer disease (AD) aggregated amyloid into plaques and hyperphosphorylated tau into tangles. Implicit in this clinicopathologic-based nosology is the assumption that pathologic protein aggregation at autopsy reflects pathogenesis at disease onset. While these aggregates may in exceptional cases be on a causal pathway in humans (e.g., aggregated α-synuclein in SNCA gene multiplication or aggregated β-amyloid in APP mutations), their near universality at postmortem in sporadic PD and AD suggests they may alternatively represent common outcomes from upstream mechanisms or compensatory responses to cellular stress in order to delay cell death. These 3 conceptual frameworks of protein aggregation (pathogenic, epiphenomenon, protective) are difficult to resolve because of the inability to probe brain tissue in real time. Whereas animal models, in which neither PD nor AD occur in natural states, consistently support a pathogenic role of protein aggregation, indirect evidence from human studies does not. We hypothesize that (1) current biomarkers of protein aggregates may be relevant to common pathology but not to subgroup pathogenesis and (2) disease-modifying treatments targeting oligomers or fibrils might be futile or deleterious because these proteins are epiphenomena or protective in the human brain under molecular stress. Future precision medicine efforts for molecular targeting of neurodegenerative diseases may require analyses not anchored on current clinicopathologic criteria but instead on biological signals generated from large deeply phenotyped aging populations or from smaller but well-defined genetic-molecular cohorts
Setting a Local Research Agenda for Women's Health: The National Centers of Excellence in Women's Health
Although women's health research expanded greatly in the past 10 years, significant gaps in knowledge remain. Prioritization and promotion of research will help assure continuing progress in closing such gaps and improving the health of women. Although a comprehensive agenda for the new millennium has been developed at the national level, the process for establishing a local research agenda is not well defined. The purpose of this study was to describe criteria for and barriers to establishing a local research agenda in women's health. A secondary aim was to describe mechanisms for identifying women's health researchers and for facilitating multidisciplinary research. Directors of Research at National Centers of Excellence in Women's Health (CoEs) (n = 18) were surveyed by mail for this information. The results indicate that the local research agenda should emphasize health issues that are prevalent in women, research that is likely to establish treatment, psychosocial/cultural factors, and quality of life issues. The process of setting a research agenda should include input from the communities served as well as from scientists. Critical evaluation of scientific strengths and weaknesses is an essential preliminary step in prioritizing research opportunities in order to implement and evaluate a research agenda in women's health.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63225/1/152460901317193512.pd
--Dependence of Bond Energies in Double--- Hypernuclei
The -dependence of the bond energy of the
hypernuclear ground states is calculated in a three-body
model and in the Skyrme-Hartree-Fock approach.
Various and -nucleus or potentials
are used and the sensitivity of to the interactions
is discussed. It is shown that in medium and heavy
hypernuclei, is a linear function of
, where is rms radius of the hyperon orbital. It
looks unlikely that it will be possible to extract
interaction from the double- hypernuclear energies only, the
additional information about the -core interaction, in particular, on
is needed.Comment: 11 pages, LaTex, 3 figure
Building Babies - Chapter 16
In contrast to birds, male mammals rarely help to raise the offspring. Of all mammals, only among rodents, carnivores, and primates, males are sometimes intensively engaged in providing infant care (Kleiman and Malcolm 1981). Male caretaking of infants has long been recognized in nonhuman primates (Itani 1959). Given that infant care behavior can have a positive effect on the infant’s development, growth, well-being, or survival, why are male mammals not more frequently involved in “building babies”? We begin the chapter defining a few relevant terms and introducing the theory and hypotheses that have historically addressed the evolution of paternal care. We then review empirical findings on male care among primate taxa, before focusing, in the final section, on our own work on paternal care in South American owl monkeys (Aotus spp.). We conclude the chapter with some suggestions for future studies.Deutsche Forschungsgemeinschaft (HU 1746/2-1)
Wenner-Gren Foundation, the L.S.B. Leakey Foundation, the National Geographic Society, the National Science Foundation (BCS-0621020), the University of Pennsylvania Research Foundation, the Zoological Society of San Dieg
Mass hierarchy, 2-3 mixing and CP-phase with Huge Atmospheric Neutrino Detectors
We explore the physics potential of multi-megaton scale ice or water
Cherenkov detectors with low ( GeV) threshold. Using some proposed
characteristics of the PINGU detector setup we compute the distributions of
events versus neutrino energy and zenith angle , and study
their dependence on yet unknown neutrino parameters. The
regions are identified where the distributions have the highest sensitivity to
the neutrino mass hierarchy, to the deviation of the 2-3 mixing from the
maximal one and to the CP-phase. We evaluate significance of the measurements
of the neutrino parameters and explore dependence of this significance on the
accuracy of reconstruction of the neutrino energy and direction. The effect of
degeneracy of the parameters on the sensitivities is also discussed. We
estimate the characteristics of future detectors (energy and angle resolution,
volume, etc.) required for establishing the neutrino mass hierarchy with high
confidence level. We find that the hierarchy can be identified at --
level (depending on the reconstruction accuracies) after 5 years of
PINGU operation.Comment: 39 pages, 21 figures. Description of Fig.3 correcte
What has finite element analysis taught us about diabetic foot disease and its management?:a systematic review
Over the past two decades finite element (FE) analysis has become a popular tool for researchers seeking to simulate the biomechanics of the healthy and diabetic foot. The primary aims of these simulations have been to improve our understanding of the foot's complicated mechanical loading in health and disease and to inform interventions designed to prevent plantar ulceration, a major complication of diabetes. This article provides a systematic review and summary of the findings from FE analysis-based computational simulations of the diabetic foot.A systematic literature search was carried out and 31 relevant articles were identified covering three primary themes: methodological aspects relevant to modelling the diabetic foot; investigations of the pathomechanics of the diabetic foot; and simulation-based design of interventions to reduce ulceration risk.Methodological studies illustrated appropriate use of FE analysis for simulation of foot mechanics, incorporating nonlinear tissue mechanics, contact and rigid body movements. FE studies of pathomechanics have provided estimates of internal soft tissue stresses, and suggest that such stresses may often be considerably larger than those measured at the plantar surface and are proportionally greater in the diabetic foot compared to controls. FE analysis allowed evaluation of insole performance and development of new insole designs, footwear and corrective surgery to effectively provide intervention strategies. The technique also presents the opportunity to simulate the effect of changes associated with the diabetic foot on non-mechanical factors such as blood supply to local tissues.While significant advancement in diabetic foot research has been made possible by the use of FE analysis, translational utility of this powerful tool for routine clinical care at the patient level requires adoption of cost-effective (both in terms of labour and computation) and reliable approaches with clear clinical validity for decision making
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