Task conditions and short-term memory search : two-phase model of STM search

Short-term memory (STM) search, as investigated within the Sternberg paradigm, is usually described as exhaustive rather than self-terminated, although the debat concerning these issues is still hot. We report three experiments employing a modified Sternberg paradigm and show that whether STM search is exhaustive or self-terminated depends on task conditions. Specifically, STM search self-terminates as soon as a positive match is found, whereas exhaustive search occurs when the STM content does not contain a searched item. Additionally, we show that task conditions influence whether familiarity- or recollection-based strategies dominate STM search performance. Namely, when speeding up the tempo of stimuli presentation increases the task demands, people use familiarity-based retrieval more often, which results in faster but less accurate recognition judgments. We conclude that STM search processes flexibly adapt to current task conditions and finally propose two-phase model of STM search

The medical science DMZ: a network design pattern for data-intensive medical science

Abstract: Objective We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet-filter firewalls, network intrusion-detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. Discussion The exponentially increasing amounts of “omics” data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research “Big Data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements

Organizational factors and depression management in community-based primary care settings

Abstract Background Evidence-based quality improvement models for depression have not been fully implemented in routine primary care settings. To date, few studies have examined the organizational factors associated with depression management in real-world primary care practice. To successfully implement quality improvement models for depression, there must be a better understanding of the relevant organizational structure and processes of the primary care setting. The objective of this study is to describe these organizational features of routine primary care practice, and the organization of depression care, using survey questions derived from an evidence-based framework. Methods We used this framework to implement a survey of 27 practices comprised of 49 unique offices within a large primary care practice network in western Pennsylvania. Survey questions addressed practice structure (e.g., human resources, leadership, information technology (IT) infrastructure, and external incentives) and process features (e.g., staff performance, degree of integrated depression care, and IT performance). Results The results of our survey demonstrated substantial variation across the practice network of organizational factors pertinent to implementation of evidence-based depression management. Notably, quality improvement capability and IT infrastructure were widespread, but specific application to depression care differed between practices, as did coordination and communication tasks surrounding depression treatment. Conclusions The primary care practices in the network that we surveyed are at differing stages in their organization and implementation of evidence-based depression management. Practical surveys such as this may serve to better direct implementation of these quality improvement strategies for depression by improving understanding of the organizational barriers and facilitators that exist within both practices and practice networks. In addition, survey information can inform efforts of individual primary care practices in customizing intervention strategies to improve depression management.http://deepblue.lib.umich.edu/bitstream/2027.42/78269/1/1748-5908-4-84.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/2/1748-5908-4-84-S1.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/3/1748-5908-4-84.pdfPeer Reviewe

The medical science DMZ: a network design pattern for data-intensive medical science.

ObjectiveWe describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations.Materials and methodsHigh-end networking, packet-filter firewalls, network intrusion-detection systems.ResultsWe describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs.DiscussionThe exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows.ConclusionBy implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements

Linotrins: Omega-3 oxylipins featuring an E,Z,E conjugated triene motif are present in the plant kingdom and alleviate inflammation in LPS-challenged microglial cells

International audienceAlpha-linolenic acid (ALA), an essential omega-3 polyunsaturated fatty acid found in plants, exertsneuroprotection and anti-inflammatory effects in chronic and acute CNS disease models. However, theunderlying mechanisms are not yet understood. Since ALA is not incorporated into the brain, theobserved health benefits may result from some of its metabolites. The putative formation of dihydroxylatedALA derivatives (called linotrins) was recently shown in vitro in the presence of lipoxygenases.However, the in vitro biosynthesis of linotrins was neither stereoselective nor quantitatively efficient forstudying their physiological roles as enantiomeric pure forms. Herein, we report the first stereocontrolledsynthesis that features regio- and stereoselective hydrometalations of alkynes for assemblingthe sensitive E,Z,E-conjugated trienes, as well as LC-MS investigations that provide evidence oflinotrins occurrence in plants. Moreover, strong anti-inflammatory effects on microglia highlight thepotential physiological importance of linotrins and open new perspectives in search of CNS therapeutics

The BLISS cluster randomised controlled trial of the effect of 'active dissemination of information' on standards of care for premature babies in England (BEADI) study protocol [ISRCTN89683698].

BACKGROUND: Gaps between research knowledge and practice have been consistently reported. Traditional ways of communicating information have limited impact on practice changes. Strategies to disseminate information need to be more interactive and based on techniques reported in systematic reviews of implementation of changes. There is a need for clarification as to which dissemination strategies work best to translate evidence into practice in neonatal units across England. The objective of this trial is to assess whether an innovative active strategy for the dissemination of neonatal research findings, recommendations, and national neonatal guidelines is more likely to lead to changes in policy and practice than the traditional (more passive) forms of dissemination in England. METHODS/DESIGN: Cluster randomised controlled trial of all neonatal units in England (randomised by hospital, n = 182 and stratified by neonatal regional networks and neonatal units level of care) to assess the relative effectiveness of active dissemination strategies on changes in local policies and practices. Participants will be mainly consultant lead clinicians in each unit. The intervention will be multifaceted using: audit and feedback; educational meetings for local staff (evidence-based lectures on selected topics, interactive workshop to examine current practice and draw up plans for change); and quality improvement and organisational changes methods. Policies and practice outcomes for the babies involved will be collected before and after the intervention. Outcomes will assess all premature babies born in England during a three month period for timing of surfactant administration at birth, temperature control at birth, and resuscitation team (qualification and numbers) present at birth