Freemanjohansen7695

Humans are continuously exposed to a stream of visual data with a natural temporal structure. However, most successful computer vision algorithms work at image level, completely discarding the precious information carried by motion. In this paper, we claim that processing visual streams naturally leads to formulate the motion invariance principle, which enables the construction of a new theory of learning that originates from variational principles, just like in physics. Such principled approach is well suited for a discussion on a number of interesting questions that arise in vision, and it offers a well-posed computational scheme for the discovery of convolutional filters over the retina. Differently from traditional convolutional networks, which need massive supervision, the proposed theory offers a truly new scenario for the unsupervised processing of video signals, where features are extracted in a multi-layer architecture with motion invariance. Eflornithine manufacturer While the theory enables the implementation of novel computer vision systems, it also sheds light on the role of information-based principles to drive possible biological solutions. Hydrogen is already a major commodity and process intermediate for fertilizer production, petroleum processing, and chemical synthesis. It also offers unrealized potential for energy storage. While biological production offers an expandable and sustainable source, enthusiasm has been dampened by slow research progress. Also, the very low cost of natural gas (the major current hydrogen source) imposes severe economic challenges. This discussion describes process, metabolic, and protein engineering opportunities toward cost-effective biohydrogen production. Recent progress in hydrogenase engineering and photosynthetic bacterial research now suggests a favorable risk versus reward opportunity. Although the risks are still significant, successful technologies would provide important components in an integrated energy portfolio that enables global sustainability. Bacterial strains are not distributed evenly throughout the environment. Here I explore how differential distribution and dispersal patterns of bacteria could affect interactions and coevolutionary dynamics with plants, and highlight ways that variation could be taken advantage of to develop robust and effective microbial consortia to inoculate crops. Questions about biogeographical patterns in viruses, fungi, and other eukaryotes are equally as prevalent and important for agriculture, and are in some cases more thoroughly explored. For simplicity as well as to bring attention to bacterial biogeography and dispersal in the context of plant interactions, I focus solely on bacterial patterns and questions for this article. The next few years will no doubt bring great advances in our understanding of dispersal capabilities and population dynamics for many plant-associated bacteria, and one of the next looming challenges will be learning to harvest this diversity in ways that can benefit agriculture. This study was undertaken to systematically assess the utilities and performance of ontology-based semantic analysis in adverse outcome pathway (AOP) research. With an increasing number of AOPs developed by scientific domain experts to organize toxicity information and facilitate chemical risk assessment, there is a pressing need for objective approaches to evaluate the biological coherence and quality of these AOPs. Powered by ontologies covering a wide range of biological domains, abundant phenotypic data annotated ontologically, and some sophisticated knowledge computing tools, semantic analysis has great potential in this area of application. With the events in the AOP-Wiki first annotated into logical definitions and then grouped into phenotypic profiles by individual AOPs, the coherence and quality of AOPs were assessed at several levels paired key event relationships (KER), all possible event pair combinations within AOPs, and the phenotypic profiles of AOPs, genes, biological pathways, human diseases,es, pathways, diseases, and chemicals into the networks too-thus greatly expanding the biological scope and our understanding of AOPs. Published by Elsevier B.V.This study examines the influence of administering testosterone at the end of the mating season, on the responses (morphometric and functional) of ram and buck sperm to freezing-thawing. Five rams were administered 25 mg testosterone propionate (TP) subcutaneously in 2 mL of olive oil twice per week (Monday and Thursday) from October 1 to 31; 5 bucks received exactly the same treatment but from November 1 to 30. Control groups were administered 2 mL of olive oil without TP twice per week over the same period. In the rams, no significant differences were seen in plasma testosterone between the treated and control groups during treatment (0.8 ± 0.2 ng/mL vs 1.5 ± 0.5 ng/mL; P > 0.05). Significant differences were seen in this respect, however, in the bucks (4.3 ± 0.8 ng/mL and 6.9 ± 0.9 ng/mL; P less then 0.05). In the rams, TP treatment increased (P less then 0.05) the straight-line velocity (VSL), linearity (LIN), straightness (STR) and wobble (WOB) values in fresh sperm samples. Similarly, in the frozen- sperm quality, in both Spanish Merino rams and Murciano-Granadina bucks, in a species-specific manner, but improved the sperm kinetic variables after freezing-thawing in both species, apparently improving sperm cryoresistance. Treatment with TP affects the dimensions of the sperm head in a species-specific manner. The specific expression profile and function of circular RNAs (circRNAs) in mammalian ovarian follicles, especially during the atresia process, are unclear. In this study, genome-wide deep circRNA sequencing was applied to screen circRNAs in healthy and early atretic antral follicles in pig ovaries. A total of 40,567 distinct circRNAs were identified in follicles, among which 197 circRNAs (108 upregulated and 89 downregulated) were significantly shifted during the early atresia process. Most differentially expressed circRNAs (DECs) lacked protein-coding potential. Annotation analysis of the DECs revealed 162 known host genes, or noncoding RNAs, and 10 intergenic regions. The key pathways in which these host genes are involved include the focal adhesion-PI3K-Akt-mTOR signaling pathway, vascular endothelial growth factor A (VEGFA)-vascular endothelial growth factor receptor 2 signaling pathway and transforming growth factor-beta signaling pathway. Further comparison analysis between host genes of DECs and the differentially expressed linear messenger RNA transcripts revealed the cotranscription of circRNAs and their linear mRNAs in inhibin beta units (INHBA and INHBB), glutathione S-transferase (GSTA1), and VEGFA.