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SSRN
Sector Trading and Bubble Riding Behavior: Construction and Evaluation of Trading Strategy Based on Bubble Test
In: FRL-D-23-01556
SSRN
Dual RNA-seq of spleens extracted from channel catfish infected with Aeromonas veronii reveals novel insights into host-pathogen interactions
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 252, S. 114609
ISSN: 1090-2414
The sustainability of industrial structure on green eco-efficiency in the Yellow River Basin
In: Economic Analysis and Policy, Band 74, S. 775-788
Oil Futures Volatility Predictability: New Evidence Based on Machine Learning Models
SSRN
Characterization and performance evaluation of an innovative mesoporous activated carbon used for drinking water purification in comparison with commercial carbons
In: Environmental science and pollution research: ESPR, Band 22, Heft 17, S. 13291-13304
ISSN: 1614-7499
Strong asymptotic properties of kernel smoothing estimation for NA random variables with right censoring
In: Communications in statistics. Theory and methods, Band 53, Heft 12, S. 4531-4541
ISSN: 1532-415X
SSRN
How Much Does Green Finance Reduce Carbon Emissions? Evidence from Prefecture-Level Cities in China
In: IREF-D-24-00119
SSRN
Characterization of the complete chloroplast genome sequence of Dalbergia species and its phylogenetic implications
The pantropical plant genus Dalbergia comprises approximately 250 species, most of which have a high economic and ecological value. However, these species are among the most threatened due to illegal logging and the timber trade. To enforce protective legislation and ensure effective conservation of Dalbergia species, the identity of wood being traded must be accurately validated. For the rapid and accurate identification of Dalbergia species and assessment of phylogenetic relationships, it would be highly desirable to develop more effective DNA barcodes for these species. In this study, we sequenced and compared the chloroplast genomes of nine species of Dalbergia. We found that these chloroplast genomes were conserved with respect to genome size, structure, and gene content and showed low sequence divergence. We identified eight mutation hotspots, namely, six intergenic spacer regions (trnL-trnT, atpA-trnG, rps16-accD, petG-psaJ, ndhF-trnL, and ndhG-ndhI) and two coding regions (ycf1a and ycf1b), as candidate DNA barcodes for Dalbergia. Phylogenetic analyses based on whole chloroplast genome data provided the best resolution of Dalbergia, and phylogenetic analysis of the Fabaceae showed that Dalbergia was sister to Arachis. Based on comparison of chloroplast genomes, we identified a set of highly variable markers that can be developed as specific DNA barcodes.
BASE
Wireless power supply technology for uniform magnetic field of intelligent greenhouse sensors
In: Computers and Electronics in Agriculture, Band 156, S. 203-208
Mechanical properties of ceramics–cement based porous material under impact loading
In: Materials & Design, Band 55, S. 778-784
A Novel Markov Model for Near-Term Railway Delay Prediction
In: CAIE-D-22-01501
SSRN
Companion Learning Networks: A Deep Reinforcement Learning Algorithm with Partner Networks
In: ESWA-D-24-20162
SSRN
Heterogeneous Autoregressive Model Based on Correlated Intraday Return Dynamic
In: FINANA-D-24-03588
SSRN