An Annotated List and New Species Descriptions of Collembola Found in the Project Elf Study Area of Michigan

An annotated list of 80 collembolan species taken from the ELF Project area in Dickinson County. Michigan, is presented. Two new species are described, a new record for the United States is established, and new records for Michigan\u27s Upper Peninsula are reported. Specimens were obtained using pitfall traps and extraction of liner and soil cores taken from deciduous forest.

Efficient metal halide perovskite light-emitting diodes with significantly improved light extraction on nanophotonic substrates.

Metal halide perovskite has emerged as a promising material for light-emitting diodes. In the past, the performance of devices has been improved mainly by optimizing the active and charge injection layers. However, the large refractive index difference among different materials limits the overall light extraction. Herein, we fabricate efficient methylammonium lead bromide light-emitting diodes on nanophotonic substrates with an optimal device external quantum efficiency of 17.5% which is around twice of the record for the planar device based on this material system. Furthermore, optical modelling shows that a high light extraction efficiency of 73.6% can be achieved as a result of a two-step light extraction process involving nanodome light couplers and nanowire optical antennas on the nanophotonic substrate. These results suggest that utilization of nanophotonic structures can be an effective approach to achieve high performance perovskite light-emitting diodes

EXTRACTION AND CHARACTERIZATION OF RICE BRAN OIL (RBO) FOR POTENTIAL APPLICATION AS BIODIESEL

Abstract: Rice bran oil (RBO) is a potential feedstock for biodiesel and biolubricant production among other alternative sources. The rice bran’s fat extraction was carried out using maceration with chloroform, solvent recovery as a means of purification was carried out using rotary evaporator. Physicochemical analysis such as percent extraction and Gas Chromatography-Mass Spectrometry (GC-MS), iodine value, peroxide value and saponification values were carried out to ascertain its potential application as Biodiesel. From the GC-MS analysis, over 30 compounds including fatty acids and other phytochemicals were discovered with Oleic acid having the greater percentage of 34.5% having the base peak at m/z of 282. Keywords: Rice bran oil (RBO), biodiesel, biolubricant production. Title: EXTRACTION AND CHARACTERIZATION OF RICE BRAN OIL (RBO) FOR POTENTIAL APPLICATION AS BIODIESEL Author: Shehu Isah, Abdulkarim Shuaib International Journal of Novel Research in Physics Chemistry & Mathematics ISSN 2394-9651 Vol. 10, Issue 3, September 2023 - December 2023 Page No: 36-62 Novelty Journals Website: www.noveltyjournals.com Published Date: 21-September-2023 DOI: https://doi.org/10.5281/zenodo.8366590 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/EXTRACTION%20AND%20CHARACTERIZATION-21092023-6.pdfInternational Journal of Novel Research in Physics Chemistry & Mathematics, ISSN 2394-9651, Novelty Journals, Website: www.noveltyjournals.co

Event discovery in social media feeds

We present a novel method for record extraction from social streams such as Twitter. Unlike typical extraction setups, these environments are characterized by short, one sentence messages with heavily colloquial speech. To further complicate matters, individual messages may not express the full relation to be uncovered, as is often assumed in extraction tasks. We develop a graphical model that addresses these problems by learning a latent set of records and a record-message alignment simultaneously; the output of our model is a set of canonical records, the values of which are consistent with aligned messages. We demonstrate that our approach is able to accurately induce event records from Twitter messages, evaluated against events from a local city guide. Our method achieves significant error reduction over baseline methods.United States. Defense Advanced Research Projects Agency (DARPA Machine Reading Program AFRL prime contract no. FA8750-09-C-0172

High-speed TCP flow record extraction using GPUs

The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-015-1478-9Traffic analysis is an essential part of capacity planning, quality of service assurance, and reinforcement of security in current telecommunication networks. Traffic volume increases with network speed and the analysis of large traffic traces is computationally intensive. The paper presents, for the first time ever, a flow extraction software that allows to obtain complex TCP-aware flow records at 4.4 millions of packets per second in a single GPU. Such TCP flow records include number of retransmissions and duplicates per flow, whose calculation is very challenging to obtain at high-speed. Our software significantly increases the processing performance of the recently proposed high-speed sniffers based on commodity hardware and demonstrates the advantages of applying massively parallel processing devices for traffic analysis

A mission synthesis algorithm for editing variable amplitude fatigue signals

This paper presents a wavelet-based fatigue data editing algorithm, known as Wavelet Bump Extraction (WBE), to summarise long record of fatigue loadings. The key point of this algorithm is to produce a shorter time history (mission signal) that retains the majority of the original fatigue damage whilst preserving cycle sequence information. In WBE, features or bumps are identified in characteristic frequency bands using the Daubechies’ wavelet transform. Comparison of the fatigue life between the original and mission signals was performed to validate the algorithm. The fatigue life was predicted using a variable amplitude fatigue damage model and the results showed a good correlation between the damage caused by the original and mission signals. Finally, the findings suggest that WBE is a suitable approach for producing a shortened mission signal for accelerated fatigue testing