Arctic Energy Technology Development Laboratory

The Arctic Energy Technology Development Laboratory was created by the University of Alaska Fairbanks in response to a congressionally mandated funding opportunity through the U.S. Department of Energy (DOE), specifically to encourage research partnerships between the university, the Alaskan energy industry, and the DOE. The enabling legislation permitted research in a broad variety of topics particularly of interest to Alaska, including providing more efficient and economical electrical power generation in rural villages, as well as research in coal, oil, and gas. The contract was managed as a cooperative research agreement, with active project monitoring and management from the DOE. In the eight years of this partnership, approximately 30 projects were funded and completed. These projects, which were selected using an industry panel of Alaskan energy industry engineers and managers, cover a wide range of topics, such as diesel engine efficiency, fuel cells, coal combustion, methane gas hydrates, heavy oil recovery, and water issues associated with ice road construction in the oil fields of the North Slope. Each project was managed as a separate DOE contract, and the final technical report for each completed project is included with this final report. The intent of this process was to address the energy research needs of Alaska and to develop research capability at the university. As such, the intent from the beginning of this process was to encourage development of partnerships and skills that would permit a transition to direct competitive funding opportunities managed from funding sources. This project has succeeded at both the individual project level and at the institutional development level, as many of the researchers at the university are currently submitting proposals to funding agencies, with some success

Development of a System and Method for Automated Isolation of Stromal Vascular Fraction from Adipose Tissue Lipoaspirate

Autologous fat grafting for soft tissue reconstruction is challenged by unpredictable long-term graft survival. Fat derived stromal vascular fraction (SVF) is gaining popularity in tissue reconstruction as SVF-enriched fat grafts demonstrate improved engraftment. SVF also has potential in regenerative medicine for remodeling of ischemic tissues by promoting angiogenesis. Since SVF cells do not require culture expansion, attempts are being made to develop automated devices to isolate SVF at the point of care. We report development of a closed, automated system to process up to 500 mL lipoaspirate using cell size-dependent filtration technology. The yield of SVF obtained by automated tissue digestion and filtration (1.17 ± 0.5 × 105 cells/gram) was equivalent to that obtained by manual isolation (1.15 ± 0.3 × 105; p = 0.8), and the viability of the cells isolated by both methods was greater than 90%. Cell composition included CD34+CD31− adipose stromal cells, CD34+CD31+ endothelial progenitor cells, and CD34−CD31+ endothelial cells, and their relative percentages were equivalent to SVF isolated by the manual method. CFU-F capacity and expression of angiogenic factors were also comparable with the manual method, establishing proof-of-concept for fully automated SVF isolation, suitable for use in reconstructive surgeries and regenerative medicine applications

Comparison of diagnostic yield and safety profile of radial endobronchial ultrasound-guided bronchoscopic lung biopsy with computed tomography-guided percutaneous needle biopsy in evaluation of peripheral pulmonary lesions: A randomized controlled trial

Background: Peripheral pulmonary lesions (PPLs) pose a diagnostic challenge, and the optimal investigation in many such cases remains unclear. Computed tomography (CT)-guided percutaneous needle biopsy (CT-PNB) has been the modality of choice for such lesions with a high diagnostic accuracy but with high rates of pneumothorax. Endobronchial ultrasound (EBUS) with a radial probe is an alternate diagnostic modality with increased diagnostic yield of bronchoscopy in the evaluation of PPL. We conducted a randomized controlled trial comparing the diagnostic accuracy and complication rates of radial EBUS with CT-guided lung biopsy for the evaluation of PPL. Methods: Fifty patients with PPL surrounded by lung parenchyma on all sides were randomly assigned to either radial EBUS or CT-PNB group (25 each). Results: Both groups had similar clinicoradiologic characteristics. The diagnostic accuracy of radial EBUS was comparable to CT-PNB with no statistically significant difference (72 vs. 84%; P = 0.306). However, the yield was significantly lower in right upper lobe lesions (20% vs. 83.3%; P = 0.03). CT-PNB group had significantly higher pneumothorax rates than radial EBUS (20% vs. 0%; P = 0.03). The lesions that were more than 2 cm, those with ultrasound feature of continuous hyperechoic margin around the lesion (P = 0.007), and the position of the ultrasound probe within the lesion (P < 0.001) were associated with a higher diagnostic yield with radial EBUS. Conclusion: Our findings suggest that radial EBUS is a safer investigation than CT-PNB with a comparable diagnostic accuracy for PPL not abutting the chest wall (CTRI/2017/02/007762)

Equilibria. 2021 March

This month's edition talks about 'Denial' in various socio-economic spheres

Co-designed Innovation and System for Resilient Exascale Computing in Europe: From Applications to Silicon (EuroEXA)

EuroEXA targets to provide the template for an upcoming exascale system by co-designing and implementing a petascale-level prototype with ground-breaking characteristics. To accomplish this, the project takes a holistic approach innovating both across the technology and the application/system software pillars. EuroEXA proposes a balanced architecture for compute and data-intensive applications, that builds on top of cost-efficient, modular-integration enabled by novel inter-die links, utilises a novel processing unit and embraces FPGA acceleration for computational, networking and storage operations. EuroEXA hardware designers work together with system software experts optimising the entire stack from language runtimes to low-level kernel drivers, and application developers that bring in a rich mix of key HPC applications from across climate/weather, physical/energy and life-science/bioinformatics domains to enable efficient system co-design and maximise the impact of the project