Fundamental Limits of Nonintrusive Load Monitoring

Provided an arbitrary nonintrusive load monitoring (NILM) algorithm, we seek bounds on the probability of distinguishing between scenarios, given an aggregate power consumption signal. We introduce a framework for studying a general NILM algorithm, and analyze the theory in the general case. Then, we specialize to the case where the error is Gaussian. In both cases, we are able to derive upper bounds on the probability of distinguishing scenarios. Finally, we apply the results to real data to derive bounds on the probability of distinguishing between scenarios as a function of the measurement noise, the sampling rate, and the device usage.Comment: Submitted to the 3rd ACM International Conference on High Confidence Networked Systems (HiCoNS

Advancing an Organizational Health Perspective for Insider Threat Prevention and Management

Malicious insiders pose a serious risk to valued organizational assets, including proprietary information, institutional processes, personnel, finances, reputation, and firm connections. Research-based solutions for predicting, detecting, and mitigating insider threats have focused heavily on individual, organizational, and cyber risk factors (Kont et al. 2015; Greitzer et al. 2018). To that end, scholars have increasingly recognized that people’s personalities, motivations, grievances, and work stressors raise the risk of insider threat events, and the corresponding interventional strategies involve cybersecurity and work design practices to safeguard the organization against human error and deviance (Homoliak et al. 2019; Greitzer et al. 2013; Maasberg, Warren, and Beebe 2015). Yet, despite evidence that insider threat events are perpetrated by people situated within a social and organizational context, discussions of insider threat have only started to recognize the importance of socio-organizational protective factors for reducing the occurrence of insider threats (Moore, Gardner, and Rousseau 2022; Whitty 2021). We argue that a healthy organization—an organization whose people, practices, and policies effectively sustain its survival and performance—may be key to preventing and managing insider threats

The application of 3D motion analysis in surgical evaluation and training; a pilot study.

Aim: To evaluate whole body, forearm, hand and surgical tool movements during various stitching tasks in experienced surgeons and final year medical students. Objectives: To determine the time required to complete each surgical task. To analyse the body centre of mass, neck, elbow, forearm and hand kinematics, the distance travelled by the surgical tool to determine the reliability, repeatability and compare differences of the aforementioned objective measures within and between surgeons and students. Method: A Cross-sectional 3D motion analysis pilot study designed. Five volunteer surgeons and five medical students were included. Retro-reflective markers were affixed to each participant’s skin on specific palpated anatomical landmarks and on a silicon suturing pad and surgical tools. Result: Experienced surgeons required significantly less time to complete each task. Their body centre of mass as well as their neck ROM were significantly smaller. The surgical tool also travelled less distance when used by surgeons (p[less than]0.05). Repeatability was higher in surgeons (ICC>0.70) compared to students (ICC>0.55). Conclusion: It is feasible to evaluate the surgical competences of junior surgeons from the very earliest years of their training. Optical Motion Capture System is a promising tool in Surgical Skills Teaching & Training

Full-scale testing, production and cost analysis data for the advanced composite stabilizer for Boeing 737 aircraft, volume 2

The development, testing, production activities, and associated costs that were required to produce five-and-one-half advanced-composite stabilizer shipsets for Boeing 737 aircraft are defined and discussed

Effects of 8 Weeks of Flexibility and Resistance Training in Older Adults With Type 2 Diabetes

(First paragraph) Flexibility is often downplayed as unimportant to fitness. However, flexibility training is imperative to maintain full range of motion (ROM) of joints, particularly in individuals with type 2 diabetes, who may experience limited joint mobility due to glycation of joint structures (1). Maladies such as “frozen shoulder” are common complaints in type 2 diabetes (2)

Energetics of the primary electron transfer reaction revealed by ultrafast spectroscopy on modified bacterial reaction centers

The modification of reaction centers from Rhodobacter sphaeroides by the introduction of pheophytins instead of bacteriopheophytins leads to interesting changes in the primary photosynthetic reaction: long-living populations of the excited electronic state of the special pair P* and the bacteriochlorophyll anion B−A show up. The data allow the determination of the energetics in the reaction center. The free energy of the first intermediate P+B−A, where the electron has reached the accessory bacteriochlorophyll BA lies ≈ 450 cm−1 below the initially excited special pair P*

Modelling Emergent Patterns of Dynamic Desert Ecosystems

In many desert ecosystems vegetation is both patchy and dynamic: vegetated areas are interspersed with patches of bare ground, and both the positioning and the species composition of the vegetated areas exhibit change through time. These characteristics lead to the emergence of multi-scale patterns in vegetation that arise from complex relationships between plants, soils and transport processes. Previous attempts to probe the causes of spatial complexity and predict responses of desert ecosystems tend to be limited in their focus: models of dynamics have been developed with no consideration of the inherent patchiness in the vegetation, or else models have been developed to generate patterns with no consideration of the dynamics. Here we develop a general modelling framework for the analysis of ecosystem change in deserts that is rooted in the concept of connectivity and is derived from a detailed process-based understanding. We explicitly consider spatial interactions among multiple vegetation types and multiple resources, and our model is formulated to predict responses to a variety of endogenous and exogenous disturbances. The model is implemented in the deserts of the American Southwest both to test hypotheses of the causes of the invasion of woody shrubs, and to test its ability to reproduce 16 observed spatial differences in response to drought in the twentieth century. The model’s performance leads us to argue that vertical and lateral connectivity are key emergent properties of the ecosystem, which both control its behaviour and provide indicators of its state. If this argument is shown to be compatible with field observations, the model presented here will provide a more certain approach towards preventing further degradation of semi-arid grasslands. http://www.esajournals.org/doi/pdf/10.1890/12-1253.

Reflections on Air Capture: the political economy of active intervention in the global environment

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47530/1/10584_2005_Article_9032.pd