Task specifications We consider a set τ=def{τ 1,…,τ n } composed of n sporadic fork-join tasks.
In different specifications we consider the cases of one vs. multiple price zones (market splitting) and analyze different approaches to recover network cost in particular lump sum, generation capacity based, and energy based fees.
Platform and scheduler specifications We consider a platform π=def{π 1,π 2,…,π m } comprising m homogeneous cores, i.e., all the cores have the same computing capabilities and are interchangeable.
In conditional estimations of the difference-in-differences specification, we consider a large set of control variables.
In our broader specification we consider (in addition to the temporary contract indicator) a wide set of person-level demographics, including proxy variables of the workers' family background, ability, motivation, skills used at the workplace, and job characteristics.
To this aim, we consider an adaptation of the model in Heidhues and Lagerlöf (2003) (hereafter HL), in which two office-seeker candidates receive imperfect and correlated signals on the state of the world, which is unknown to voters.4 Following their specification we consider a binary world, with two states and two possible policies.
In the first specification, we consider the different quartiles of the same personality trait (effort and external locus of control) as separate treatments, and therefore we compare youths who are, for example, in the bottom quartile of the effort scale with similar youths who are in higher quartiles of the distribution of the same index.
and samples derived from non-biological sources (e.g., nanoparticle formulations, small molecule drug, etc).. Hence, for the ISA-TAB-Nano specification, we consider a sample derived from biological sources as a biological specimen or biospecimen material type, while referencing samples derived from non-biological sources as material samples.
Specifically, we consider specifications that instead use average high school grades, math SAT score, verbal SAT score or combined SAT score as a measure of STEM and non-STEM peer quality.
Finally, to demonstrate that some cancer methylated genes are also frequently methylated in somatic progenitor stem cells and that their methylation is important for lineage specification, we considered two genes: RUNX3 and AIM2.
It has to be mentioned that to simplify model specification, we considered random effects capturing jointly the heterogeineity across studies and across virus strains in the same study.
