Sustaining Precarious Transnational Families: The Significance of Remittances From Canada's Seasonal Agricultural Workers Program

Accelerating flows of remittances are dwarfing global development aid. This study deepens our understanding of remittance impacts on the families of workers who come to Canada annually for several months under the Seasonal Agricultural Workers Program (SAWP). Interviews with SAWP workers, their spouses, adult children and teachers in Mexico deepen our understanding of the impacts of these remittances. They demonstrate that the remittances are often literally a lifeline to transnational family survival, allowing them to pay for basic needs such as shelter, food, and medical care. Yet, at the same time, the remittances do not allow most of these workers and their families to escape deep poverty and significant precarity, including new forms of precarity generated by the SAWP. Instead, SAWP remittances help reduce poverty, at least temporarily, to more moderate levels while precarious poverty expands through globalneoliberal underdevelopment

Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space?

The organization and mining of malaria genomic and post-genomic data is highly motivated by the necessity to predict and characterize new biological targets and new drugs. Biological targets are sought in a biological space designed from the genomic data from Plasmodium falciparum, but using also the millions of genomic data from other species. Drug candidates are sought in a chemical space containing the millions of small molecules stored in public and private chemolibraries. Data management should therefore be as reliable and versatile as possible. In this context, we examined five aspects of the organization and mining of malaria genomic and post-genomic data: 1) the comparison of protein sequences including compositionally atypical malaria sequences, 2) the high throughput reconstruction of molecular phylogenies, 3) the representation of biological processes particularly metabolic pathways, 4) the versatile methods to integrate genomic data, biological representations and functional profiling obtained from X-omic experiments after drug treatments and 5) the determination and prediction of protein structures and their molecular docking with drug candidate structures. Progresses toward a grid-enabled chemogenomic knowledge space are discussed.Comment: 43 pages, 4 figures, to appear in Malaria Journa

The plight of the sense-making ape

This is a selective review of the published literature on object-choice tasks, where participants use directional cues to find hidden objects. This literature comprises the efforts of researchers to make sense of the sense-making capacities of our nearest living relatives. This chapter is written to highlight some nonsensical conclusions that frequently emerge from this research. The data suggest that when apes are given approximately the same sense-making opportunities as we provide our children, then they will easily make sense of our social signals. The ubiquity of nonsensical contemporary scientific claims to the effect that humans are essentially--or inherently--more capable than other great apes in the understanding of simple directional cues is, itself, a testament to the power of preconceived ideas on human perception

Core Domain Set Selection According to OMERACT Filter 2.1: The OMERACT Methodology

Objective: To describe the Outcome Measures in Rheumatology (OMERACT) Filter 2.1 methodology for core domain set selection. Methods: The “OMERACT Way for Core Domain Set selection” framework consists of 3 stages: first, generating candidate domains through literature reviews and qualitative work, then a process of consensus to obtain agreement from those involved, and finally formal voting on the OMERACT Onion. The OMERACT Onion describes the placement of domains in layers/circles: mandatory in all trials/mandatory in specific circumstances (inner circle); important but optional (middle circle); or research agenda (outer circle). Five OMERACT working groups presented their core domain sets for endorsement by the OMERACT community. Tools including a workbook and whiteboard video were created to assist the process. The methods workshop at OMERACT 2018 introduced participants to this framework. Results: The 5 OMERACT working groups achieved consensus on their proposed core domain sets. After the Methodology Workshop training exercise at OMERACT 2018, over 90% of participants voted that they were confident that they understood the process of core domain set selection. Conclusion: The methods described in this paper were successfully used by the 5 working groups voting on domains at the OMERACT 2018 meeting, demonstrating the feasibility of the process. In addition, participants at OMERACT 2018 expressed increased confidence and understanding of the core domain set selection process after the training exercise. This methodology will continue to evolve, and we will use innovative technology such as whiteboard videos as a key part of our dissemination and implementation strategy for new methods

Instrument Selection Using the OMERACT Filter 2.1: The OMERACT Methodology.

Objective: Outcome Measures in Rheumatology (OMERACT) Filter 2.1 revised the process used for core outcome measurement set selection to add rigour and transparency in decision making. This paper describes OMERACT’s methodology for instrument selection. Methods: We presented instrument selection processes, tools, and reporting templates at OMERACT 2018, introducing the concept of “3 pillars, 4 questions, 7 measurement properties, 1 answer”. Truth, Discrimination and Feasibility are the three original OMERACT pillars. Based on these, we developed four signaling questions. We introduced the Summary of Measurement Properties (SOMP) table which summarizes the seven measurement properties: Truth (domain match, construct validity), Discrimination (test-retest reliability, longitudinal construct validity (responsiveness), clinical trial discrimination, thresholds of meaning), and Feasibility. These properties address a set of standards which, when met, answer the one question: Is there enough evidence to support the use of this instrument in clinical research of the benefits and harms of treatments in the population and study setting described? The OMERACT Filter 2.1 was piloted on two instruments by the Psoriatic Arthritis Working Group Results: The methodology was reviewed in a full plenary session and facilitated breakout groups. Tools to facilitate retention of the process (i.e., “The OMERACT Way”) were provided. The two instruments were presented and the recommendation of the working group was endorsed in the first OMERACT Filter 2.1 Instrument Selection votes. Conclusion: Instrument Selection using OMERACT Filter 2.1 is feasible and is now being implemented

Improving Benefit-harm Assessment of Therapies from the Patient Perspective: OMERACT Premeeting Toward Consensus on Core Sets for Randomized Controlled Trials

Objective: Outcome Measures in Rheumatology (OMERACT) convened a premeeting in 2018 to bring together patients, regulators, researchers, clinicians, and consumers to build upon previous OMERACT drug safety work, with patients fully engaged throughout all phases. Methods: Day 1 included a brief introduction to the history of OMERACT and methodology, and an overview of current efforts within and outside OMERACT to identify patient-reported medication safety concerns. On Day 2, two working groups presented results; after each, breakout groups were assembled to discuss findings. Results: Five themes pertaining to drug safety measurement emerged. Conclusion: Current approaches have failed to include data from the patient’s perspective. A better understanding of how individuals with rheumatic diseases view potential benefits and harms of therapies is essential

ISSCR standards for the use of human stem cells in basic research.

The laboratory culture of human stem cells seeks to capture a cellular state as an in vitro surrogate of a biological system. For the results and outputs from this research to be accurate, meaningful, and durable, standards that ensure reproducibility and reliability of the data should be applied. Although such standards have been previously proposed for repositories and distribution centers, no widely accepted best practices exist for laboratory research with human pluripotent and tissue stem cells. To fill that void, the International Society for Stem Cell Research has developed a set of recommendations, including reporting criteria, for scientists in basic research laboratories. These criteria are designed to be technically and financially feasible and, when implemented, enhance the reproducibility and rigor of stem cell research