DynaGrow: Next Generation Software for Multi-Objective and Energy Cost-Efficient Control of Supplemental Light in Greenhouses

2018 ◽  
pp. 25-44
Author(s):  
Jan Corfixen Sørensen ◽  
Katrine Heinsvig Kjaer ◽  
Carl-Otto Ottosen ◽  
Bo Nørregaard Jørgensen
Keyword(s):  
Energy Cost ◽  
Next Generation ◽  
Multi Objective ◽  
Efficient Control ◽  
Cost Efficient

scholarly journals Ferroelectric HfO2-based materials for next-generation ferroelectric memories

2016 ◽  
Vol 06 (02) ◽  
pp. 1630003 ◽  
Author(s):  
Zhen Fan ◽  
Jingsheng Chen ◽  
John Wang
Keyword(s):  
Random Access ◽  
Complementary Metal Oxide Semiconductor ◽  
Ferroelectric Materials ◽  
Oxide Semiconductor ◽  
Next Generation ◽  
New Class ◽  
Generation Cost ◽  
Potential Applications ◽  
Cost Efficient ◽  
Ferroelectric Memories

Ferroelectric random access memory (FeRAM) based on conventional ferroelectric perovskites, such as Pb(Zr,Ti)O3 and SrBi2Ta2O9, has encountered bottlenecks on memory density and cost, because those conventional perovskites suffer from various issues mainly including poor complementary metal-oxide-semiconductor (CMOS)-compatibility and limited scalability. Next-generation cost-efficient, high-density FeRAM shall therefore rely on a material revolution. Since the discovery of ferroelectricity in Si:HfO2 thin films in 2011, HfO2-based materials have aroused widespread interest in the field of FeRAM, because they are CMOS-compatible and can exhibit robust ferroelectricity even when the film thickness is scaled down to below 10 nm. A review on this new class of ferroelectric materials is therefore of great interest. In this paper, the most appealing topics about ferroelectric HfO2-based materials including origins of ferroelectricity, advantageous material properties, and current and potential applications in FeRAM, are briefly reviewed.

scholarly journals Development of a Poisoned Bait Strategy against the Silverfish Ctenolepisma longicaudata (Escherich, 1905)

Insects ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 852
Author(s):  
Anders Aak ◽  
Morten Hage ◽  
Heidi Heggen Lindstedt ◽  
Bjørn Arne Rukke
Keyword(s):  
Field Experiments ◽  
Control Method ◽  
Initial Mixture ◽  
Mass Trapping ◽  
Safe Strategy ◽  
Efficient Control ◽  
Environmentally Safe ◽  
Safe Control ◽  
Cost Efficient ◽  
Spray Treatment

Pest management strives to be an efficient, yet healthy and environmentally safe control method, and the use of poisoned bait often fulfils these criteria. In the present study, we show that bait with indoxacarb as the active ingredient is highly efficient for controlling Ctenolepisma longicaudata (Escherich, 1905) and two of its relatives, Lepisma saccharina (Linnaeus, 1758) and Ctenolepisma calva (Ritter, 1910). Applying small bait droplets (size ~10 mg) along the walls of several types of buildings, at no more than 0.5 to 1.0 g bait per 100 m2, was a cost-efficient and safe strategy for the knockdown and eradication of C. longicaudata. During field experiments, the demography changed from an initial mixture of different stages to total dominance of early instars preceding the population collapse. Poisonous bait outcompeted mass-trapping with sticky-traps and conventional insect spray treatment for the efficient control of C. longicaudata in apartments. Different droplet densities (1 vs. 0.5/m2) and active ingredients (indoxacarb vs. clothianidin) did not have different effects in field experiments. These results show that poisoned bait is a highly relevant tool for managing C. longicaudata and potentially against other silverfish infestations.

scholarly journals Feasibility of Low-Throughput Next Generation Sequencing for Germline DNA Screening

2014 ◽  
Vol 60 (12) ◽  
pp. 1549-1557 ◽  
Author(s):  
Nur Sabrina Sapari ◽  
Eiram Elahi ◽  
Mengchu Wu ◽  
Marie Loh ◽  
Hong Kiat Ng ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Clinical Performance ◽  
Asian Population ◽  
Clinical Diagnostics ◽  
Personal Genome ◽  
Next Generation ◽  
Array Annotation ◽  
Cost Efficient ◽  
And Performance ◽  
Generation Sequencing

Abstract BACKGROUND Next generation sequencing (NGS) promises many benefits for clinical diagnostics. However, current barriers to its adoption include suboptimal amenability for low clinical throughputs and uncertainty over data accuracy and analytical procedures. We assessed the feasibility and performance of low-throughput NGS for detecting germline mutations for Lynch syndrome (LS). METHODS Sequencing depth, time, and cost of 6 formats on the MiSeq and Personal Genome Machine platforms at 1–12 samples/run were calculated. Analytical performance was assessed from 3 runs of 3 DNA samples annotated for 7500 nucleotides by BeadChip arrays. The clinical performance of low-throughput NGS and 9 analytical processes were assessed through blinded analysis of DNA samples from 12 LS cases confirmed by Sanger sequencing, and 3 control cases. RESULTS The feasibility analysis revealed different formats were optimal at different throughputs. Detection was reproducible for 2619/2635 (99.39%) replicate variants, and sensitivity and specificity to array annotation were 99.42% and 99.99% respectively. Eleven of 16 inconsistently detected variants could be specifically identified by having allele frequencies ≤0.15, strand biases >−35, or genotype quality scores ≤80. Positive selection for variants in the Human Genome Mutation Database (colorectal cancer, nonpolyposis) and variants with ≤5% frequency in the Asian population gave the best clinical performance (92% sensitivity, 67% specificity). CONCLUSIONS Low-throughput NGS can be a cost-efficient and reliable approach for screening germline variants; however, its clinical utility is subject to the quality of annotation of clinically relevant variants.

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