The R2R3-MYB transcription factors in plants participate various physiological and biochemical processes responds to external stimuli. Prunus sibirica (known as Siberian apricot) is a drupe tree species that produces extremely high nutritional value kernels. However, it susceptiblility frost damage during the flowering period, results marked reduction kernel yield.

Abstract BACKGROUND Descurainia sophia L., a problematic weed in winter wheat fields China, has developed high resistance to tribenuron‐methyl. Amino acid substitutions at sites Pro197, Asp376 and Trp574 the target acetohydroxyacid synthase (AHAS) were primarily responsible for D. In this study, purified subpopulations of plants individually homozygous specific mutation (Pro197Leu, Pro197His, Pro197Ser, Pro197Thr, Asp376Glu or Trp574Leu) AHAS generated, effects mutations on characteristics...

Abstract Motivation Natural language is poised to become a key medium for human–machine interactions in the era of large models. In field biochemistry, tasks such as property prediction and molecule mining are critically important yet technically challenging. Bridging molecular expressions natural chemical can significantly enhance interpretability ease these tasks. Moreover, it integrate knowledge from various sources, leading deeper understanding molecules. Results Recognizing advantages,...

Yak (Bos grunniens) is a kind of cattle which can survive on Tibetan plateau. In addition, yak skin an unused resource during production meat. this research, the potential angiotensin I-converting enzyme (ACE)-inhibitory and antioxidant bioactivities gelatin hydrolysates (YSGH) were investigated. Orthogonal test was applied to optimize pretreatment process. Then treated with combinations different kinds enzymes YSGH separated by ultrafiltration membranes. Interestingly, all below 3 kDa...

With the increasing popularity of social networks, massive digital footprints individuals in online service platforms are generated. As a result, an emerging technology namely personality trait analysis has drawn much attention. The prediction and is efficient way to voting prediction, review analysis, decision marketing. existing studies generally employ classification models while ignore temporal property footprints, which may lead unsatisfactory results. To make improvement, this paper...

Growth-regulating factors (GRFs) are transcription that play a pivotal role in plant growth and development. This study identifies 12 Solanum tuberosum GRF (StGRFs) analyzes their physicochemical properties, phylogenetic relationships, gene structures expression patterns using bioinformatics. The StGRFs exhibit length range of 266 to 599 amino acids, with molecular weight 26.02 64.52 kDa. majority possess three introns. promoter regions contain plethora cis -acting elements related...

Abstract Background Computational genomics of Alzheimer disease (AD), the most common form senile dementia, is a nascent field in AD research. The includes gene clustering by computing order which generates higher quality patterns than other methods. However, there are few available methods such as Genetic Algorithm (GA) and Ant Colony Optimization (ACO). Further, their performance computation using microarray data not known. We thus set forth to evaluate performances current with different...

D. Sophia is one of the most problematic weed species infesting winter wheat in China, and has evolved high resistance to tribenuron-methyl. Amino acid substitutions at site Pro197, Asp376 Trp574 acetohydroxyacid synthase (AHAS) were mainly responsible for sophia In this study, plant individually homozygous specific AHAS mutation (Pro197Leu, Pro197His, Pro197Ser, Pro197Thr, Asp376Glu Trp574Leu) generated. addition, effects mutations on pigments, growths competitiveness susceptible (S)...

Purpose The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct synchronous projection in cyber–physical–psychological system. Since the future interconnected system that takes on features large scale, openness self-organization. Digital-selfs interact cooperate with each other finish transactions achieve co-evolution eventually. Design/methodology/approach To between system, authors propose rules...

Purpose The purpose of this paper is to detect abnormal data complex and sophisticated industrial equipment with sensors quickly accurately. Due the rapid development Internet Things, more equipped sensors, especially installed a large number sensors. A amount monitoring collected monitor operation equipment. How accurately has become challenge. Design/methodology/approach In paper, authors propose an approach called Multiple Group Correlation-based Anomaly Detection (MGCAD), which can...

Purpose The behavioral decision-making of digital-self is one the important research contents network crowd intelligence. factors and mechanisms that affect have attracted attention many researchers. Among influence decision-making, mind plays an role. Exploring mechanism digital-selfs’ on helpful to understand behaviors intelligence improve transaction efficiency in CrowdIntell. Design/methodology/approach In this paper, authors use pattern perception layer, multi-aspect layer memory...

Natural language is expected to be a key medium for various human-machine interactions in the era of large models. When it comes biochemistry field, series tasks around molecules (e.g., property prediction, molecule mining, etc.) are great significance while having high technical threshold. Bridging expressions natural and chemical can not only hugely improve interpretability reduce operation difficulty these tasks, but also fuse knowledge scattered complementary materials deeper...

Abstract Let be a set of graphs. A graph is said to ‐free if does not contain as an induced subgraph for all in , and we call forbidden pair . In 2008, Faudree et al. characterized pairs connected graphs such that every 2‐connected sufficiently large order has 2‐factor. 2013, Fujisawa with minimum degree at least two this paper, generalize these results by considering disconnected other words, characterize We also

As Alzheimer’s Disease (AD) is the most common form of dementia, study AD-related genes via biocomputation an important research topic. One method studying gene to cluster similar together into a order. Gene order good clustering as results can be optimal globally while other methods are only locally. Herein we use Ant Colony Optimisation (ACO)-based algorithm calculate from DNA microarray dataset. We test it with four distance measurements: Pearson distance, Spearmen Euclidean and squared...

Angiotensin II (Ang II) regulates the expression of some core clock genes; excess Ang leads to atherosclerosis advancement. Macrophage Rev-erbα mediates clockwork and inflammation, plays a role in atherosclerotic lesion progression. However, regulating macrophages remains unclarified.We induced THP-1 by phorbol 12-myristate 13-acetate investigated effect on via real-time polymerase chain reaction, western blotting small interfering RNA (siRNA) techniques. The cytotoxicity agonist SR9009 was...

<title>Abstract</title> <bold>Background</bold> AP2/ERF transcription factors (TFs) are plant-specific involved in the regulation of plant growth and development response to stresses. Although TFs have been identified numerous species analyzed many, such as <italic>Oryza sativa,</italic> <italic>Arabidopsis thaliana</italic>,<italic> </italic>and <italic>Populus trichocarpa</italic>, studies on <italic>Prunus sibirica</italic> (PsAP2/ERF) gene family not reported. In study, 112 PsAP2/ERFs...