Security and Privacy in Solar Insecticidal Lamps Internet of Things:Requirements and Challenges

Solar insecticidal lamps(SIL) can effectively control pests and reduce the use of pesticides. Combining SIL and Internet of Things(IoT) has formed a new type of agricultural IoT,known as SIL-IoT, which can improve the effectiveness of migratory phototropic pest control. However, since the SIL is connected to the Internet, it is vulnerable to various security issues.These issues can lead to serious consequences, such as tampering with the parameters of SIL, illegally starting and stopping SIL,etc. In this paper, we describe the overall security requirements of SIL-IoT and present an extensive survey of security and privacy solutions for SIL-IoT. We investigate the background and logical architecture of SIL-IoT, discuss SIL-IoT security scenarios, and analyze potential attacks. Starting from the security requirements of SIL-IoT we divide them into six categories, namely privacy, authentication, confidentiality, access control, availability,and integrity. Next, we describe the SIL-IoT privacy and security solutions, as well as the blockchain-based solutions. Based on the current survey, we finally discuss the challenges and future research directions of SIL-IoT.

Genetic improvement of legume roots for adaption to acid soils

Acid soils occupy approximately 50% of potentially arable lands.Improving crop productivity in acid soils,therefore,will be crucial for ensuring food security and agricultural sustainability.High soil acidity often coexists with phosphorus(P) deficiency and aluminum(Al) toxicity,a combination that severely impedes crop growth and yield across wide areas.As roots explore soil for the nutrients and water required for plant growth and development,they also sense and respond to below-ground stresses.Within the terrestrial context of widespread P deficiency and Al toxicity pressures,plants,particularly roots,have evolved a variety of mechanisms for adapting to these stresses.As legumes,soybean(Glycine max) plants may acquire nitrogen(N) through symbiotic nitrogen fixation(SNF),an adaptation that can be useful for mitigating excessive N fertilizer use,either directly as leguminous crop participants in rotation and intercropping systems,or secondarily as green manure cover crops.In this review,we investigate legumes,especially soybean,for recent advances in our understanding of root-based mechanisms linked with root architecture modification,exudation and symbiosis,together with associated genetic and molecular strategies in adaptation to individual and/or interacting P and Al conditions in acid soils.We propose that breeding legume cultivars with superior nutrient efficiency and/or Al tolerance traits through genetic selection might become a potentially powerful strategy for producing crop varieties capable of maintaining or improving yields in more stressful soil conditions subjected to increasingly challenging environmental conditions.

Primary metabolite contents are correlated with seed protein and oil traits in near-isogenic lines of soybean

Soybean(Glycine max[L.]Merr.)is an important source of human dietary protein and vegetable oil.A strong negative correlation between protein and oil contents has hindered efforts to improve soybean seed quality.The metabolic and genetic bases of soybean seed composition remain elusive.We evaluated metabolic diversity in a soybean near-isogenic line(NIL)population derived from parents(JD12 and CMSD)with contrasting seed oil contents.Using GC-TOF/MS,we compared seed primary metabolites of high protein/low oil lines,low protein/high oil lines,and their parents.Principal-components analysis showed that metabolic profiles of all progeny lines could be discriminated based on protein and oil contents.Univariate analysis revealed wide variation and transgressive segregation of metabolites in the population.Twenty-eight annotated metabolites,in particular free asparagine,free 3-cyanoalanine,and L-malic acid,were correlated with seed protein content or seed oil content or seed protein and oil content.These results shed light on the metabolic and genetic basis of soybean seed composition.

Soybean AP1 homologs control flowering time and plant height

Flowering time and plant height are key agronomic traits that directly affect soybean(Glycine max)yield.APETALA1(AP1)functions as a class A gene in the ABCE model for floral organ development,helping to specify carpel,stamen,petal,and sepal identities.There are four AP1 homologs in soybean,all of which are mainly expressed in the shoot apex.Here,we used clustered regularly interspaced short palindromic repeats(CRISPR)–CRISPR-associated protein 9 technology to generate a homozygous quadruple mutant,gmap1,with loss-of-function mutations in all four GmAP1 genes.Under short-day(SD)conditions,the gmap1 quadruple mutant exhibited delayed flowering,changes in flower morphology,and increased node number and internode length,resulting in plants that were taller than the wild type.Conversely,overexpression of GmAP1a resulted in early flowering and reduced plant height compared to the wild type under SD conditions.The gmap1 mutant and the overexpression lines also exhibited altered expression of several genes related to flowering and gibberellic acid metabolism,thereby providing insight into the role of GmAP1 in the regulatory networks controlling flowering time and plant height in soybean.Increased node number is the trait with the most promise for enhancing soybean pod number and grain yield.Therefore,the mutant alleles of the four AP1 homologs described here will be invaluable for molecular breeding of improved soybean yield.

高维Burgers方程外区域问题球对称解的渐近行为

本文考虑高维Burgers方程外区域问题球对称解的大时间渐近行为,主要关注在球对称初始扰动下球对称稳态波的非线性稳定性.对这一问题,Hashimoto和Matsumura(2019)给出了保证其球对称稳态波存在性的一个充分条件,但是由于这一稳态波不再是单调的,他们只能在更强的假设下证明其非线性稳定性.本文的主要目的是在Hashimoto和Matsumura给出的保证这一稳态波存在的条件下证明其非线性稳定性.此外,还得到了该外区域问题的整体球对称解收敛到上述稳态波的关于时间变元的代数和指数衰减率估计.本文的稳定性分析是基于空间加权的能量方法,问题的关键在于构造适当的权函数来控制由于稳态波的非单调性及边界条件的出现所导致的困难.至于关于时间变元的衰减估计,除了这一空间加权的能量方法之外,还利用了由Kawashima和Matsumura在1985年引入的空间-时间加权的能量方法.