The hidden hierarchy of far-right digital guerrilla warfare

The polarizing tendency of politically leaned social media is usually claimed to be spontaneous, or a by-product of underlying platform algorithms. This contribution revisits both claims by articulating the digital world of social media and rules derived from capitalist accumulation in the post-Fordist age, from a transdisciplinary perspective articulating the human and exact sciences. Behind claims of individual freedom, there is a rigid pyramidal hierarchy of power heavily using military techniques developed in the late years of the cold war, namely Russia Reflexive Control and the Boyd’s decision cycle in the USA. This hierarchy is not the old-style “command-and-control” from Fordist times, but an “emergent” one, whereby individual agents respond to informational stimuli, coordinated to move as a swarm. Such a post-Fordist organizational structure resembles guerrilla warfare. In this new world, it is the far right who plays the revolutionaries by deploying avant-garde guerrilla methods, while the so-called left paradoxically appears as conservatives defending the existing structure of exploitation. Although the tactical goal is unclear, the strategic objective of far-right guerrillas is to hold on to power and benefit particular groups to accumulate more capital. We draw examples from the Brazilian far right to support our claims.

Improving the Maintenance of Railway Switches through Proactive Approach

A strong necessity for faster mass transport with high capacities and frequent runs has put pressure on railway infrastructure. These changes require an improvement in the maintenance activities that need to be planned carefully to reduce as much as possible their impacts on the actual use of the infrastructure. As a consequence, it is crucial to continuously monitor the technical equipment of the railroad tracks in the most efficient way. Railway switches operate in harsh environmental conditions. However, their reliability requirements are high due to safety and economic factors. Their maintenance depends on the data collected and the decisions on due corrective actions. The more frequent the data collection, the shorter the decision cycle; and the more intuitive the data visualization, the better the confidence in the system. This paper presents some tangible results, where the MANTIS concepts were applied to the use-case of railway switches to introduce continuous monitoring and proactive maintenance of the railroad tracks. The presented results include the measurement method; the analysis of the measured data; the profiling and modelling of the physical behaviour of the switch, including the recognized need to have separate models per season; and the visualization of the gathered data.

Recommendations for management of diabetes during Ramadan: update 2020, applying the principles of the ADA/EASD consensus

Fasting the Holy month of Ramadan constitutes one of the five pillars of the Muslim faith. Although there is some evidence that intermittent fasting during Ramadan may be of benefit in losing weight and cardiometabolic risk factors, there is no strong evidence these benefits apply to people with diabetes. The American Diabetes Association/European Association for the Study of Diabetes consensus recommendations emphasize the importance of patient factors and comorbidities when choosing diabetes medications including the presence of comorbidities, atherosclerotic cardiovascular disease, heart failure, chronic kidney disease, hypoglycemia risk, weight issues and costs. Structured education and pre-Ramadan counseing are key components to successful management of patients with diabetes. These should cover important aspects like glycemic targets, self-monitoring of blood glucose, diet, physical activity including Taraweeh prayers, medication and dose adjustment, side effects and when to break the fast. The decision cycle adapted for the specific situation of Ramadan provides an aid for such an assessment. Children with type 1 diabetes should strongly be advised not to fast due to the high risk of acute complications such as hypoglycemia and probably diabetic ketoacidosis (DKA), although there is very little evidence that DKA is increased in Ramadan. Pregnant women with diabetes or gestational diabetes should be advised to avoid fasting because of possible negative maternal and fetal outcomes. Hypoglycemia is a common concern during Ramadan fasting. To prevent hypoglycemic and hyperglycemic events, we recommend the adoption of diabetes self-management education and support principles. The use of the emerging technology and continuous glucose monitoring during Ramadan could help to recognize hypoglycemic and hyperglycemic complications related to omission and/or medication adjustment during fasting; however, the cost represents a significant barrier.

Instructional Design for Simulations in Special Education Virtual Learning Spaces

Virtual learning environments provide new teachers with experiences to apply knowledge of learner differences to semi-authentic learning situations involving students with special needs, teachers, and parents. Instructional design provides a systematic process to document instructional designs in an undergraduate special education course, which has students apply universal design for learning principles. A variation of instructional design designed for teacher education, the teacher decision cycle, documents the teaching decisions behind the use of TLE TeachLivE to provide simulated experiences in virtual learning settings, as well as supporting activity structures. Implementation guidelines are provided.

Instructional Design for Simulations in Special Education Virtual Learning Spaces

Virtual learning environments provide new teachers with experiences to apply knowledge of learner differences to semi-authentic learning situations involving students with special needs, teachers, and parents. Instructional design provides a systematic process to document instructional designs in an undergraduate special education course, which has students apply universal design for learning principles. A variation of instructional design designed for teacher education, the teacher decision cycle, documents the teaching decisions behind the use of TLE TeachLivE to provide simulated experiences in virtual learning settings, as well as supporting activity structures. Implementation guidelines are provided.

Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning

The control of shared energy assets within building clusters has traditionally been confined to a discrete action space, owing in part to a computationally intractable decision space. In this work, we leverage the current state of the art in reinforcement learning (RL) for continuous control tasks, the deep deterministic policy gradient (DDPG) algorithm, toward addressing this limitation. The goals of this paper are twofold: (i) to design an efficient charged/discharged dispatch policy for a shared battery system within a building cluster and (ii) to address the continuous domain task of determining how much energy should be charged/discharged at each decision cycle. Experimentally, our results demonstrate an ability to exploit factors such as energy arbitrage, along with the continuous action space toward demand peak minimization. This approach is shown to be computationally tractable, achieving efficient results after only 5 h of simulation. Additionally, the agent showed an ability to adapt to different building clusters, designing unique control strategies to address the energy demands of the clusters studied.

Applying a Teaching Decision Cycle to the Design of Online Learning Within Faculty Professional Development

Higher education instructors who will be teaching online for the first time need institutional assistance. Migrating a face-to-face course to an online setting requires some understanding of the differences in a physical and virtual setting. This chapter proposes that the design of courses for online delivery can be facilitated by professional development in which instructional design is used to examine important teaching decisions. A framing of instructional design for college instructors, the teaching decision cycle (TDC), prompts a re-examination of assumptions and F2F teaching decisions. A three-day professional development event is laid out in which the TDC is used to structure instructor re-thinking and designing of a F2F course to a new online or hybrid course. Research opportunities along five categories are suggested.

Streamlining a Transport Network Using GIS Technology

In today’s environment, the success of an organization depends on the ability to reduce the decision cycle, make better decisions, and share strategic information within the organization. The model of this paper shows that the results of GIS processing are much more efficient in the information process - decision making, production, evidence, both in the transport sector and in other fields of activity.The main purpose of a GIS system is, beside the introduction, storage and editing of some geographic, demographic, environmental information etc. The analysis and the study of this information in a relational context, in order to obtain complex decisions. Network analysis in GIS is most frequently related to finding new solutions to transport issues.