Public Law Sources and Analogies of International Law

Are the "general principles of law recognised by civilized nations" capable of adjusting to the progress and needs of the international community? This article argues that they are, and that international law needs, to a larger degree than what has been the case, to draw on principles of public law. Those principles of public law are not to supplant, but to supplement, those of private law. The article analyses four principles: the principle of legality; the principle requiring positive legal basis for state action; the principle that even the highest emanation of the executive power cannot escape judicial review; and the principle of protection of legitimate expectations. If one takes account of the needs of international law, there is no reason whatever why today we should accede to the orthodoxy that the intention behind the concept of general principles is only to authorise a court to apply the general principles of municipal jurisprudence, in particular of private law, in so far as they are applicable to relations of states – if for no other reason than the fact that international law no longer governs only relations of states.&nbsp

Executive Function: Instructional and Intervention Strategies to Close Achievement Gaps: A School Improvement Plan

Strong Professional Learning Communities that provide students with inclusive instructional strategies and tiered interventions for executive functioning skills positively affects student learning and achievement. This school improvement plan establishes a school wide outline for staff development regarding executive functioning and implementation of instructional and Tier 1 and Tier 2 interventions through professional development, self-assessment and coaching. The plan addresses the need for professional development, inclusive and universal instructional strategies, intervention supports and resources and supports for classroom teachers. A review of literature was conducted to support the plan and examines how student executive functioning affects student achievement and learning, recognizes the importance of explicit time management, plan management, and organizational instruction, and delves into how instructional strategies and interventions close achievement gaps and improve student performance

Flow Around an Object Projected from a Cavity into a Supersonic Freestream

The pressure and flow field of a supersonic flow over a cavity, with and without a store, was the focus of this experiment. One cavity geometry (length to depth ratio 3.6) was studied; the freestream Mach number and the placement of the store relative to the cavity floor were varied. The pressure spectra on the cavity floor were markedly different between Mach numbers of 1.8 and 2.9. The Mach 1.8 case exhibited clear spectral peaks consistent with predictions by Rossiter, whereas the Mach 2.9 flow did not. With the store placed within the free shear layer, the pressure fluctuations on the cavity floor decreased for Mach 1.8 and increased for Mach 2.9. High-speed Schlieren photography was used to visualize the interaction of the free shear layer and the modeled store. Images revealed that flow structures in the free shear layer of the Mach 2.9 flow exhibited less spanwise coherence then their Mach 1.8 flow counterparts. Images also revealed vertical displacement of the free shear layer as the store traversed through it. Pressure-sensitive paint (PSP) was utilized to quantify the full-field mean pressure on the cavity floor and store. A pressure rise near the trailing edge was noted for both freestream Mach numbers. The mean pressure contour of the floor for the Mach 1.8 exhibited considerable three-dimensionality, despite the generally spanwise coherent structures in the free shear layer

How sustainable is "common" data science in terms of power consumption?

Continuous developments in data science have brought forth an exponential increase in complexity of machine learning models. Additionally, data scientists have become ubiquitous in the private market, academic environments and even as a hobby. All of these trends are on a steady rise, and are associated with an increase in power consumption and associated carbon footprint. The increasing carbon footprint of large-scale advanced data science has already received attention, but the latter trend has not. This work aims to estimate the contribution of the increasingly popular "common" data science to the global carbon footprint. To this end, the power consumption of several typical tasks in the aforementioned common data science tasks will be measured and compared to: large-scale "advanced" data science, common computer-related tasks, and everyday non-computer related tasks. This is done by converting the measurements to the equivalent unit of "km driven by car". Our main findings are: "common" data science consumes $2.57$ more power than regular computer usage, but less than some common everyday power-consuming tasks such as lighting or heating; large-scale data science consumes substantially more power than common data science.Comment: conference paper, working paper, under review, 9 pages, 4 figure