Surveillance Using Multiple Unmanned Aerial Vehicles

This study examines the performance and limitations of a heuristic cooperative control (CC) surveillance algorithm for multiple unmanned aerial vehicles (UAVs) under both simulation and demonstration. The algorithm generates Dubin\u27s based paths and provides velocity feedback to accomplish simultaneous arrival onto a surveillance orbit around the target and maintains position while orbiting. The CC algorithm has two modes: one that generates commands to multiple UAVs for simultaneous arrival to a surveillance orbit, and one that maintains equal angular spacing about the orbit. In addition to positional performance metrics, percentage of target in-view time was also measured based on the UAV\u27s side camera field of view (FOV). Simulation tested both modes under wind conditions of 0%, 10%, 25%, and 50% of the nominal airspeed (Vnom). Results showed that the algorithm maintained UAV position with winds 25% of Vnom, but instabilities appeared at 50% where large overshoots appeared on the downwind side of the orbit. Target visibility was most impacted by crosstrack errors that steadily grew with increasing winds. Roll of the UAV showed the greatest impact on the FOV due to its coupling effect with crosstrack error. Overall target in-view time also improved with increasing numbers of UAVs for all wind conditions

Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation

Recently, the makespan-minimization problem of compiling a general class of quantum algorithms into near-term quantum processors has been introduced to the AI community. The research demonstrated that temporal planning is a strong solution approach for the studied class of quantum circuit compilation (QCC) problems. In this paper, we explore the use of methods from operations research, specifically constraint programming (CP), as an alternative and complementary approach to temporal planning. We also extend previous work by introducing two new problem variations that incorporate important characteristics identified by the quantum computing community. We apply temporal planning and CP to the baseline and extended QCC problems as both stand-alone and hybrid approaches. The hybrid method uses solutions found by temporal planning to warm-start CP, leveraging the ability of temporal planning to find satisficing solutions to problems with a high degree of task optionality, an area that CP typically struggles with. These solutions are then used to seed the CP formulation which significantly benefits from inferred bounds on planning horizon and task counts provided by the warm-start. Our extensive empirical evaluation indicates that while stand-alone CP is not competitive with temporal planning, except for the smallest problems, CP in a hybrid setting is beneficial for all temporal planners in all problem classes

RESEARCH Open Access

Herbal adaptogens combined with protein fractions from bovine colostrum and hen egg yolk reduce liver TNF-α expression and protein carbonylation in Western diet feeding in rat

Renewable energy resource assessment

© The Author(s) 2019. Literature overview of published global and regional renewable energy potential estimates. This section provides definitions for different types of RE potentials and introduces a new category, the economic renewable energy potential in space constrained environments. The potential for utility scale solar and onshore wind in square kilometre and maximum possible installed capacity (in GW) are provided for 75 different regions. The results set the upper limits for the deployment of solar- and wind technologies for the development of the 2.0 °C and 1.5 °C energy pathways

Ribosomal protein S6 mRNA is a biomarker upregulated in multiple sclerosis, downregulated by interferon treatment, and affected by season

Background

In-cell NMR characterization of the secondary structure populations of a disordered conformation of α-Synuclein within E. coli cells

α-Synuclein is a small protein strongly implicated in the pathogenesis of Parkinson’s disease and related neurodegenerative disorders. We report here the use of in-cell NMR spectroscopy to observe directly the structure and dynamics of this protein within E. coli cells. To improve the accuracy in the measurement of backbone chemical shifts within crowded in-cell NMR spectra, we have developed a deconvolution method to reduce inhomogeneous line broadening within cellular samples. The resulting chemical shift values were then used to evaluate the distribution of secondary structure populations which, in the absence of stable tertiary contacts, are a most effective way to describe the conformational fluctuations of disordered proteins. The results indicate that, at least within the bacterial cytosol, α-synuclein populates a highly dynamic state that, despite the highly crowded environment, has the same characteristics as the disordered monomeric form observed in aqueous solution

The mitogenome of the bed bug Cimex lectularius (Hemiptera: Cimicidae)

We report the extraction of a bed bug mitogenome from high-throughput sequencing projects originally focused on the nuclear genome of Cimex lectularius. The assembled mitogenome has a similar AT nucleotide composition bias found in other insects. Phylogenetic analysis of all protein-coding genes indicates that C. lectularius is clearly a member of a paraphyletic Cimicomorpha clade within the Order Hemiptera

Measuring variation in the quality of systemic anti-cancer therapy delivery across hospitals: A national population-based evaluation.

AIM: To date, there has been little systematic assessment of the quality of care associated with systemic anti-cancer therapy (SACT) delivery across national healthcare systems. We evaluated hospital-level toxicity rates during SACT treatment as a means of identifying variation in care quality. METHODS: All colorectal cancer (CRC) patients receiving SACT within 106 English National Health Service (NHS) hospitals between 2016 and 2019 were included. Severe acute toxicity rates were derived from hospital administrative data using a validated coding framework. Variation in hospital-level toxicity rates was assessed separately in the adjuvant and metastatic settings. Toxicity rates were adjusted for age, sex, comorbidity, performance status, tumour site, and TNM staging. RESULTS: Eight thousand one hundred and seventy three patients received SACT in the adjuvant setting, and 7,683 patients in the metastatic setting. Adjusted severe acute toxicity rates varied between hospitals from 11% to 49% for the adjuvant cohort, and from 25% to 67% for the metastatic cohort. Compared to the national mean toxicity rate in the adjuvant cohort, six hospitals were more than two standard deviations (2SD) above, and four hospitals were more than 2SD below. In the metastatic cohort, six hospitals were more than 2SD above, and seven hospitals were more than 2SD below the national mean toxicity rate. Overall, 12 hospitals (12%) had toxicity rates more than 2SD above the national mean, and 11 (10%) had rates more than 2SD below. CONCLUSION: There is substantial variation in hospital-level severe acute toxicity rates in both the adjuvant and metastatic settings, despite risk-adjustment. Ongoing reporting of this performance indicator can be used to focus further investigation of toxicity rates and stimulate quality improvement initiatives to improve care