Model consent clauses for rare disease research

Background: Rare Disease research has seen tremendous advancements over the last decades, with the development of new technologies, various global collaborative efforts and improved data sharing. To maximize the impact of and to further build on these developments, there is a need for model consent clauses for rare diseases research, in order to improve data interoperability, to meet the informational needs of participants, and to ensure proper ethical and legal use of data sources and participants' overall protection. Methods: A global Task Force was set up to develop model consent clauses specific to rare diseases research, that are comprehensive, harmonized, readily accessible, and internationally applicable, facilitating the recruitment and consent of rare disease research participants around the world. Existing consent forms and notices of consent were analyzed and classified under different consent themes, which were used as background to develop the model consent clauses. Results: The IRDiRC-GA4GH MCC Task Force met in September 2018, to discuss and design model consent clauses. Based on analyzed consent forms, they listed generic core elements and designed the following rare disease research specific core elements; Rare Disease Research Introductory Clause, Familial Participation, Audio/Visual Imaging, Collecting, storing, sharing of rare disease data, Recontact for matching, Data Linkage, Return of Results to Family Members, Incapacity/Death, and Benefits. Conclusion: The model consent clauses presented in this article have been drafted to highlight consent elements that bear in mind the trends in rare disease research, while providing a tool to help foster harmonization and collaborative efforts

Fragmentation of electric currents in the solar corona by plasma flows

We consider a magnetic configuration consisting of an arcade structure and a detached plasmoid, resulting from a magnetic reconnection process, as is typically found in connection with solar flares. We study spontaneous current fragmentation caused by shear and vortex plasma flows. An exact analytical transformation method was applied to calculate self-consistent solutions of the nonlinear stationary MHD equations. The assumption of incompressible field-aligned flows implies that both the Alfven Mach number and the mass density are constant on field lines. We first calculated nonlinear MHS equilibria with the help of the Liouville method, emulating the scenario of a solar eruptive flare configuration with plasmoids and flare arcade. Then a Mach number profile was constructed that describes the upflow along the open magnetic field lines and implements a vortex flow inside the plasmoid. This Mach number profile was used to map the MHS equilibrium to the stationary one. We find that current fragmentation takes place at different locations within our configuration. Steep gradients of the Alfven Mach number are required, implying the strong influence of shear flows on current amplification and filamentation of the MHS current sheets. Crescent- or ring-like structures appear along the outer separatrix, butterfly structures between the upper and lower plasmoids, and strong current peaks close the lower boundary. Impressing an intrinsic small-scale structure on the upper plasmoid results in strong fragmentation of the plasmoid. Hence fragmentation of current sheets and plasmoids is an inherent property of MHD theory. Transformations from MHS into MHD steady-states deliver fine-structures needed for plasma heating and acceleration of particles and bulk plasma flows in dissipative events that are typically connected to magnetic reconnection processes in flares and coronal mass ejections.Comment: 12 pages, 7 figures, accepted for publication in Astronomy and Astrophysic

The contribution of the IGM and minihalos to the 21 cm signal of reionization

We study the statistical properties of the cosmological 21 cm signal from both the intergalactic medium (IGM) and minihalos, using a reionization simulation that includes a self--consistent treatment of minihalo photoevaporation. We consider two models for minihalo formation and three typical thermal states of the IGM -- heating purely by ionization, heating from both ionizing and $\rm Ly\alpha$ photons, and a maximal "strong heating" model. We find that the signal from the IGM is almost always dominant over that from minihalos. In our calculation, the differential brightness temperature, ${\delta}T_b,$ of minihalos is never larger than 2 mK. Although there are indeed some differences in the signals from the minihalos and from the IGM, even with the planned generation of radio telescopes it will be unfeasible to detect them. However, minihalos significantly affect the ionization state of the IGM and the corresponding 21 cm flux.Comment: 13 pages, 12 figures, accepted by MNRA

Does the compositional effect explain the association between rates of in-migration and out-migration?

A common empirical observation obtained in many countries is that regions with a high gross out-migration per capita also tend to have a high gross in-migration per capita, and vice versa. Another common and curious observation is a positive correlation between out-migration rate and net-migration rate. This has been interpreted to mean that out-migration is independent of the economic characteristics of the region. A number of explanations has been suggested to explain the positive relationship between the rates of out-migration and in-migration. According to the compositional effect- explanation, a region that attracts migrants grow to have a population which is more migration prone, thus also increasing out-migration from the region. Another explanation is related to the idea of "vacancy chain": the departure of residents leaves vacated positions such as jobs and houses for new-comers, thus increasing in-migration. The economic activities that make an area attractive may also increase turnover and thus out-migration. If jobs are easily available, this attracts in-migrants, but may also make workers to leave the jobs easily, thus adding out-migration. This paper analyses the relationships between the components of migration in Finland in the 1990s, and their development since 1975. Inter-regional migration, and regional concentration with it, accelerated pronouncedly in Finland after the mid 1990s. Migration research, which also gained popularity, is dominated by the analysis of net-migration and analyses based on micro-data, but the analysis related to gross migration is few in number. Therefore, we have only limited understanding on the behaviour and relationships of the out-, in- and net-migration rates in Finland. The results show that the rate of out-migration is positively related to the rate of in- migration, but negatively related to the rate of net-migration. The first result is in accordance with the common result, but the second is not. Out-migration seems to be related with the economic characteristics of the region in Finland, and therefore the correlation between the rates of out- and net-migration is negative. The push factors work in Finland, which result has also been obtained from migration studies based on micro-data. In analysing the relationship between the out- and in-migration rates, this paper also analyses the significance of the compositional effect by utilizing micro-based data from the period of 1987-96. In this analysis, the population is divided into two parts, those who have moved before and those who have not, and the relationships between the components of migration are analysed separately in these two groups. Accordingly, we swift from the use of microdata to the use of macro (regional) data in this analysis.

Developments in linear and integer programming

In this review we describe recent developments in linear and integer (linear) programming. For over 50 years Operational Research practitioners have made use of linear optimisation models to aid decision making and over this period the size of problems that can be solved has increased dramatically, the time required to solve problems has decreased substantially and the flexibility of modelling and solving systems has increased steadily. Large models are no longer confined to large computers, and the flexibility of optimisation systems embedded in other decision support tools has made on-line decision making using linear programming a reality (and using integer programming a possibility). The review focuses on recent developments in algorithms, software and applications and investigates some connections between linear optimisation and other technologies