An efficient and fast multi-band focused bioimpedance solution with EIT-based reconstruction for pulmonary embolism assessment: a simulation study from massive to segmental blockage

Objective: Pulmonary embolism (PE) is an acute condition that blocks the perfusion to the lungs and is a common complication of Covid-19. However, PE is often not diagnosed in time, especially in the pandemic time due to complicated diagnosis protocol. In this study, a non-invasive, fast and efficient bioimpedance method with the EIT-based reconstruction approach is proposed to assess the lung perfusion reliably. Approach: Some proposals are presented to improve the sensitivity and accuracy for the bioimpedance method: (1) a new electrode configuration and focused pattern to help study deep changes caused by PE within each lung field separately, (2) a measurement strategy to compensate the effect of different boundary shapes and varied respiratory conditions on the perfusion signals and (3) an estimator to predict the lung perfusion capacity, from which the severity of PE can be assessed. The proposals were tested on the first-time simulation of PE events at different locations and degrees from segmental blockages to massive blockages. Different object boundary shapes and varied respiratory conditions were included in the simulation to represent for different populations in real measurements. Results: The correlation between the estimator and the perfusion was very promising (R = 0.91, errors < 6%). The measurement strategy with the proposed configuration and pattern has helped stabilize the estimator to non-perfusion factors such as the boundary shapes and varied respiration conditions (3-5% errors). Significance: This promising preliminary result has demonstrated the proposed bioimpedance method’s capability and feasibility, and might start a new direction for this application.

Measurement of The Cycloidal Drive Sleeves and Pins

In the paper, an issue of CMM measurement strategy of the sleeves and pins designed for wear tests in the cycloidal drive. The measurement strategy was proposed, based on initial out-of-roundness measurement in scanning mode. Proposed approach ensured that the pin was measured along its entire 40 mm length with only small area of fixation ca. 5 mm left out, and all probing points for cylindricity deviation assessment were collected in one fixation. It was demonstrated that the cylindricity and roundness measurement results based on 8, 16 and 48 probing points provided sufficient data for further wear analysis. In some cases, the circles calculated from 4 points gave additional insights allowing to accept the part that otherwise might be possibly rejected.

Six ways to help fix energy hardship in New Zealand

Energy hardship is caused by the interaction of factors including housing quality, appliance efficiency, energy source and price, and occupant needs and income. Multiple policy approaches are needed to address these varied causes of energy hardship, and the lack of an official definition and a measurement strategy in Aotearoa should not preclude policy action to address this critical social determinant of health. Here we outline six ways to help fix energy hardship in New Zealand.

Measurement to Improve Treatment Delivery: A Commentary on the HiTOP Measure Development Project

The focus on this commentary will be on how dimensional models of psychopathology, particularly HiTOP model, have the potential to significantly streamline treatment efforts and increase the likelihood that evidence-based interventions are more widely integrated in clinical practice. The approach to assessment adopted by the HiTOP consortium is likely to have an outsized impact on whether these innovations are adopted in routine clinical practice. Toward that end, I provide suggestions for a measurement strategy that can maximize clinical utility. In particular, the tension between creating items that reflect all phenomena at the sign/symptom level to refine our understanding of relationships among psychopathological constructs and creating a measure that is suitable for clinical practice is explored.

Homelands and Nationalism

Homelands are an integral component of nationalism. This recognition notwithstanding, the lines nationalism draws on the globe have received much less systematic attention than the lines drawn between in-groups and out-groups. This article argues that homelands, precisely because they are so central to nationalism, should be more consistently integrated into scholarship on international conflict, among other outcomes. We begin by detailing what homelands are, why they matter, and some suggested mechanisms for how they impact outcomes of interest. The next section considers the choices scholars make about identifying homelands, including the particular measurement strategy and the level of analysis used. Here, we highlight recent advances that enable the measurement and analysis of homelands in ways consistent with both constructivist insights about the possibility of variation in the homeland’s extent (both over time and within populations) and with positivist analysis. We conclude by sketching out future directions for research on homelands and nationalism.

FESSTVaL: Field Experiment on sub-mesoscale spatio-temporal variability in Lindenberg – the campaign 2021 an its predecessors

&lt;p&gt;Measuring submesoscale variability is the core task of the field campaign FESSTVaL (Field Experiment on Sub-Mesoscale Spatio-Temporal Variability in Lindenberg).&amp;#160; FESSTVaL focuses on three sources of submesoscale variability: cold pools, wind gusts and boundary layer pattern. It took place in the summer months of 2021 at the Meteorological Observatory Lindenberg &amp;#8211; Richard-A&amp;#223;mann-Observatory (MOL-RAO) of the German Weather Service (DWD) near Berlin and was initiated by the Hans-Ertel-Center for Weather Research (HErZ).&lt;/p&gt;&lt;p&gt;In order to capture phenomena at the submesoscale (500 m &amp;#8211; 5 km), generally not captured by conventional measurement network, a hierarchical measurement strategy is adopted. This includes wind profiling stations with a coordinated scanning strategy of several Doppler Lidars, two mobile profilers to measure thermodynamic properties and precipitation, more than 100 stations with near-surface measurements of air temperature, pressure and soil moisture, more than 20 automatic weather stations, an X-Band radar, and a number of energy balance stations. This equipment is augmented by the extensive ground-based remote sensing array at the MOL-RAO, operated by DWD and by flights operated by Unmanned Aerial Systems. Complementing to this, the benefit of a citizen-science measurement network is investigated during the campaign with &amp;#8220;Internet-of-things&amp;#8221; based technology and low-cost sensors built and maintained by citizens. The measurements are supplemented by high-resolution large-eddy simulations (ICON-LES).&lt;/p&gt;&lt;p&gt;Originally planned for the summer 2020, FESSTVaL had to be postponed to 2021 and replaced by three local individual campaigns, conducted in Bayern, Lindenberg and Hamburg in 2020. Those three test campaigns demonstrated the ability of the envisionned measurement strategy and planned instruments to capture submesoscale variability and submesoscale weather phenomean. This talk will give a brief overview on the results of these three campaigns, as a foretaste to FESSTVaL, together with some of the very first measurements taken during FESSTVaL. &lt;/p&gt;

Spectrum Occupancy Model Based on Empirical Data for FM Radio Broadcasting in Suburban Environments

It is well-known that the analog FM radio channels in suburban areas are underutilized. Before reallocating the unused channels for other applications, a regulator must analyze the spectrum occupancy. Many researchers proposed the spectrum occupancy models to find vacant spectrum. However, the existing models do not analyze each channel individually. This paper proposes an approach consisting (i) a spectrum measurement strategy, (ii) an appropriate decision threshold, and (iii) criteria for channel classification, to find the unused channels. The measurement strategy monitors each channel’s activity by capturing the power levels of the passband and the guardband separately. The decision threshold is selected depending on the monitored channel’s activity. The criteria classifies the channels based on the passband’s and guardband’s duty cycles. The results show that the proposed channel classification can identify 42 unused channels. If the power levels of wholebands (existing model) were analyzed instead of passband’s and guardband’s duty cycles, only 24 unoccupied channels were found. Furthermore, we propose the interference criteria, based on relative duty cycles across channels, to classify the abnormally used channels into interference sources and interference sinks, which have 16 and 15 channels, respectively. This information helps the dynamic spectrum sharing avoid or mitigate the interferences.