中美英语词汇比赛模式的比较研究——以“词达人”和“Spelling Bee”为例

词汇比赛是考察学生词汇能力的有效方式,一直备受重视。通过比较我国“词达人”全国大学生英语词汇能力大赛和美国SpellingBee拼读比赛在组织模式、题型设置两方面的差异,可以梳理出当前以“词达人”为代表的国内词汇拼写类比赛可能存在的问题。研究者在此基础上为如何增加“词达人”比赛的观赏性以及扩大比赛影响力提出了可行的方案。

Comparative analyses of mitogenomes in the social bees with insights into evolution of long inverted repeats in the Meliponini

The insect mitogenome is typically a compact circular molecule with highly conserved gene contents.Nonetheless,mitogenome structural variations have been reported in specific taxa,and gene rearrangements,usually the tRNAs,occur in different lineages.Because synapomorphies of mitogenome organizations can provide information for phylogenetic inferences,comparative analyses of mitogenomes have been given increasing attention.However,most studies use a very few species to represent the whole genus,tribe,family,or even order,overlooking potential variations at lower taxonomic levels,which might lead to some incorrect inferences.To provide new insights into mitogenome organizations and their implications for phylogenetic inference,this study conducted comparative analyses for mitogenomes of three social bee tribes(Meliponini,Bombini,and Apini)based on the phylogenetic framework with denser taxonomic sampling at the species and population levels.Comparative analyses revealed that mitogenomes of Apini and Bombini are the typical type,while those of Meliponini show diverse variations in mitogenome sizes and organizations.Large inverted repeats(IRs)cause significant gene rearrangements of protein coding genes(PCGs)and rRNAs in Indo-Malay/Australian stingless bee species.Molecular evolution analyses showed that the lineage with IRs have lower dN/dS ratios for PCGs than lineages without IRs,indicating potential effects of IRs on the evolution of mitochondrial genes.The finding of IRs and different patterns of gene rearrangements suggested that Meliponini is a hotspot in mitogenome evolution.Unlike conserved PCGs and rRNAs whose rearrangements were found only in the mentioned lineages within Meliponini,tRNA rearrangements are common across all three tribes of social bees,and are significant even at the species level,indicating that comprehensive sampling is needed to fully understand the patterns of tRNA rearrangements,and their implications for phylogenetic inference.

Effect of wall-disruption on nutrient composition and in vitro digestion of camellia and lotus bee pollens

The nutrient digestion,absorption and biological activity of bee pollen may be limited due to the complex pollen wall.Here,the effect of superfine grinding technology on the release of nutrients from bee pollen were investigated,and their antioxidant activities and in vitro digestion were explored in this study.Results showed that the content of nutrients in bee pollen increased after wall disruption.Among them,fat content increased by 22.55%-8.31%,protein content increased by 0.54%-4.91%,starch content increased by 36.31%-48.64%,soluble sugar content increased by 20.57%-29.67%,total phenolic acid content increased by 11.73%-86.98%and total flavonoids content increased by 14.29%-24.79%.At the same time,the antioxidant activity increased by 14.84%-46.00%.Furthermore,the active components such as phenolic compounds in the wall-disruption bee pollen were more readily to be released during the in vitro digestion,and easier to be absorbed because of their higher bioaccessibility.Antioxidant activities during in vitro digestion were also improved in walldisruption bee pollen.These findings provide evidence that bee pollen wall disruption was suggested,thus,it is more conducive to exerting the value of bee pollen in functional foods.

Effect of different drying methods on the amino acids,α-dicarbonyls and volatile compounds of rape bee pollen

The significant demand for high quality food has motivated us to adopt appropriate processing methods to improve the food nutritional quality and flavors.In this study,the effects of five drying methods,namely,pulsed vacuum drying(PVD),freeze drying(FD),infrared drying(IRD),hot-air drying(HAD)and sun drying(SD)on free amino acids(FAAs),α-dicarbonyl compounds(α-DCs)and volatile compounds(VOCs)in rape bee pollen(RBP)were determined.The results showed that FD significantly released the essential amino acids(EAAs)compared with fresh samples while SD caused the highest loss.Glucosone was the dominantα-DCs in RBP and the highest loss was observed after PVD.Aldehydes were the dominant volatiles of RBP and SD samples contained more new volatile substances(especially aldehydes)than the other four drying methods.Comprehensively,FD and PVD would be potential methods to effectively reduce the quality deterioration of RBP in the drying process.

Improved artificial bee colony algorithm for pressure source parameter inversion of Sakurajima volcano from InSAR data

A novel artificial bee colony algorithm was introduced for the eruption event of the Sakurajima volcano on August 9,2020,to invert the magma source characteristics below the volcano based on the point source Mogi model.Considering that the Sakurajima volcano is surrounded by sea,all the deformation data are used to obtain the location and magma eruption volume of the volcano.In response to the weak local search capability of the artificial swarm algorithm,the difference between the global optimal individual and the un-roulette screened individual is introduced as the variance component in the onlooker stage.Detailed simulation experiments verify the improvement of the algorithm in terms of convergence speed.In real experiments,the Sakurajima volcano inversion shows closer fitting results and smaller residuals compared to the existing literature.Meanwhile,the convergence speed of the algorithm echoes with the simulation experiments.

Dynamical Artificial Bee Colony for Energy-Efficient Unrelated Parallel Machine Scheduling with Additional Resources and Maintenance

Unrelated parallel machine scheduling problem(UPMSP)is a typical scheduling one and UPMSP with various reallife constraints such as additional resources has been widely studied;however,UPMSP with additional resources,maintenance,and energy-related objectives is seldom investigated.The Artificial Bee Colony(ABC)algorithm has been successfully applied to various production scheduling problems and demonstrates potential search advantages in solving UPMSP with additional resources,among other factors.In this study,an energy-efficient UPMSP with additional resources and maintenance is considered.A dynamical artificial bee colony(DABC)algorithm is presented to minimize makespan and total energy consumption simultaneously.Three heuristics are applied to produce the initial population.Employed bee swarm and onlooker bee swarm are constructed.Computing resources are shifted from the dominated solutions to non-dominated solutions in each swarm when the given condition is met.Dynamical employed bee phase is implemented by computing resource shifting and solution migration.Computing resource shifting and feedback are used to construct dynamical onlooker bee phase.Computational experiments are conducted on 300 instances from the literature and three comparative algorithms and ABC are compared after parameter settings of all algorithms are given.The computational results demonstrate that the new strategies of DABC are effective and that DABC has promising advantages in solving the considered UPMSP.

Allergen degradation of bee pollen by lactic acid bacteria fermentation and its alleviatory effects on allergic reactions in BALB/c mice

Food allergy as a global health problem threatens food industry.Bee pollen(BP)is a typical food with allergenic potentials,although it performs various nutritional/pharmacological functions to humans.In this study,lactic acid bacteria(LAB)were used to ferment Brassica napus BP for alleviating its allergenicity.Four novel allergens(glutaredoxin,oleosin-B2,catalase and lipase)were identified with significant decreases in LAB-fermented BP(FBP)than natural BP by proteomics.Meanwhile,metabolomics analysis showed significant increases of 28 characteristic oligopeptides and amino acids in FBP versus BP,indicating the degradation of LAB on allergens.Moreover,FBP showed alleviatory effects in BALB/c mice,which relieved pathological symptoms and lowered production of allergic mediators.Microbial high-throughput sequencing analysis showed that FBP could regulate gut microbiota and metabolism to strengthen immunity,which were closely correlated with the alleviation of allergic reactivity.These findings could contribute to the development and utilization of hypoallergenic BP products.

Effect of Apis mellifera on community composition of local pollinator bees and their pollination network in Qinling Mountains and surrounding areas

The Qinling Mountains, known for their rich vegetation and diverse pollinating insects, have seen a significant decline in bee species richness and abundance over recent decades, largely due to the introduction and spread of Apis mellifera. This decline has caused cascading effects on the region's community structure and ecosystem stability. To improve the protection of native bees in the natural and agricultural landscape of the Qinling Mountains and its surrounding areas, we investigated 33 sampling sites within three habitats: forest, forest-agriculture ecotones, and farmland. Using a generalized linear mixing model, t-test, and other data analysis methods, we explored the impact of Apis mellifera on local pollinator bee richness, abundance, and the pollination network in different habitats in these regional areas. The results show that(1)Apis mellifera significantly negatively affects the abundance and richness of wild pollinator bees,while Apis cerana abundance is also affected by beekeeping conditions.(2)There are significant negative effects of Apis mellifera on the community structure of pollinator bees in the Qinling Mountains and its surrounding areas: the Shannon-Wiener diversity index, Pielou evenness index, and Margalef richness index of bee communities at sites with Apis mellifera influence were significantly lower than those at sites without Apis mellifera influence.(3)The underlying driver of this effect is the monopolization of flowering resources by Apis mellifera. This species tends to visit flowering plants with large nectar sources, which constitute a significant portion of the local plant community. By maintaining a dominant role in the bee-plant pollination network, Apis mellifera competitively displaces native pollinator bees, reducing their access to floral resources. This ultimately leads to a reduction in local bee-plant interactions, decreasing the complexity and stability of the pollination network. These findings highlight the need for targeted conservation efforts to protect native pollinator species and maintain the ecological balance in the Qinling Mountains.

Hybrid Hierarchical Particle Swarm Optimization with Evolutionary Artificial Bee Colony Algorithm for Task Scheduling in Cloud Computing

Task scheduling plays a key role in effectively managing and allocating computing resources to meet various computing tasks in a cloud computing environment.Short execution time and low load imbalance may be the challenges for some algorithms in resource scheduling scenarios.In this work,the Hierarchical Particle Swarm Optimization-Evolutionary Artificial Bee Colony Algorithm(HPSO-EABC)has been proposed,which hybrids our presented Evolutionary Artificial Bee Colony(EABC),and Hierarchical Particle Swarm Optimization(HPSO)algorithm.The HPSO-EABC algorithm incorporates both the advantages of the HPSO and the EABC algorithm.Comprehensive testing including evaluations of algorithm convergence speed,resource execution time,load balancing,and operational costs has been done.The results indicate that the EABC algorithm exhibits greater parallelism compared to the Artificial Bee Colony algorithm.Compared with the Particle Swarm Optimization algorithm,the HPSO algorithmnot only improves the global search capability but also effectively mitigates getting stuck in local optima.As a result,the hybrid HPSO-EABC algorithm demonstrates significant improvements in terms of stability and convergence speed.Moreover,it exhibits enhanced resource scheduling performance in both homogeneous and heterogeneous environments,effectively reducing execution time and cost,which also is verified by the ablation experimental.

Adaptive Network Sustainability and Defense Based on Artificial Bees Colony Optimization Algorithm for Nature Inspired Cyber Security

Cyber Defense is becoming a major issue for every organization to keep business continuity intact.The presented paper explores the effectiveness of a meta-heuristic optimization algorithm-Artificial Bees Colony Algorithm(ABC)as an Nature Inspired Cyber Security mechanism to achieve adaptive defense.It experiments on the Denial-Of-Service attack scenarios which involves limiting the traffic flow for each node.Businesses today have adapted their service distribution models to include the use of the Internet,allowing them to effectively manage and interact with their customer data.This shift has created an increased reliance on online services to store vast amounts of confidential customer data,meaning any disruption or outage of these services could be disastrous for the business,leaving them without the knowledge to serve their customers.Adversaries can exploit such an event to gain unauthorized access to the confidential data of the customers.The proposed algorithm utilizes an Adaptive Defense approach to continuously select nodes that could present characteristics of a probable malicious entity.For any changes in network parameters,the cluster of nodes is selected in the prepared solution set as a probable malicious node and the traffic rate with the ratio of packet delivery is managed with respect to the properties of normal nodes to deliver a disaster recovery plan for potential businesses.

Optimal Location and Sizing ofMulti-Resource Distributed Generator Based onMulti-Objective Artificial Bee Colony Algorithm

Distribution generation(DG)technology based on a variety of renewable energy technologies has developed rapidly.A large number of multi-type DG are connected to the distribution network(DN),resulting in a decline in the stability of DN operation.It is urgent to find a method that can effectively connect multi-energy DG to DN.photovoltaic(PV),wind power generation(WPG),fuel cell(FC),and micro gas turbine(MGT)are considered in this paper.A multi-objective optimization model was established based on the life cycle cost(LCC)of DG,voltage quality,voltage fluctuation,system network loss,power deviation of the tie-line,DG pollution emission index,and meteorological index weight of DN.Multi-objective artificial bee colony algorithm(MOABC)was used to determine the optimal location and capacity of the four kinds of DG access DN,and compared with the other three heuristic algorithms.Simulation tests based on IEEE 33 test node and IEEE 69 test node show that in IEEE 33 test node,the total voltage deviation,voltage fluctuation,and system network loss of DN decreased by 49.67%,7.47%and 48.12%,respectively,compared with that without DG configuration.In the IEEE 69 test node,the total voltage deviation,voltage fluctuation and system network loss of DN in the MOABC configuration scheme decreased by 54.98%,35.93%and 75.17%,respectively,compared with that without DG configuration,indicating that MOABC can reasonably plan the capacity and location of DG.Achieve the maximum trade-off between DG economy and DN operation stability.

Hepatic and renal effects of oral stingless bee honey in a streptozotocin-induced diabetic rat model

BACKGROUND Diabetes is known damage the liver and kidney,leading to hepatic dysfunction and kidney failure.Honey is believed to help in lowering the blood glucose levels of diabetic patients and reducing diabetic complications.However,the effect of stingless bee honey(SBH)administration in relieving liver and kidney damage in diabetes has not been well-studied.AIM To investigate the effect of SBH administration on the kidney and liver of streptozotocin-induced(STZ;55 mg/kg)diabetic Sprague Dawley rats.METHODS The rats were grouped as follows(n=6 per group):non-diabetic(ND),untreated diabetic(UNT),metformin-treated(MET),and SBH+metformin-treated(SBME)groups.After successful diabetic induction,ND and UNT rats were given normal saline,whereas the treatment groups received SBH(2.0 g/kg and/or metformin(250 mg/kg)for 12 d.Serum biochemical parameters and histological changes using hematoxylin and eosin(H&E)and periodic acid–Schiff(PAS)staining were evaluated.RESULTS On H&E and PAS staining,the ND group showed normal architecture and cellularity of Bowman’s capsule and tubules,whereas the UNT and MET groups had an increased glomerular cellularity and thickened basement membrane.The SBH-treated group showed a decrease in hydropic changes and mild cellularity of the glomerulus vs the ND group based on H&E staining,but the two were similar on PAS staining.Likewise,the SBME-treated group had an increase in cellularity of the glomerulus on H&E staining,but it was comparable to the SBH and ND groups on PAS staining.UNT diabetic rats had tubular hydropic tubules,which were smaller than other groups.Reduced fatty vacuole formation and dilated blood sinusoids in liver tissue were seen in the SBH group.Conversely,the UNT group had high glucose levels,which subsequently increased MDA levels,ultimately leading to liver damage.SBH treatment reduced this damage,as evidenced by having the lowest fasting glucose,serum alanine transaminase,aspartate transaminase,and alkaline phosphatase levels compared to other groups,although the levels of liver enzymes were not statistically significant.CONCLUSION The cellularity of the Bowman’s capsule,as well as histological alteration of kidney tubules,glomerular membranes,and liver tissues in diabetic rats after oral SBH resembled those of ND rats.Therefore,SBH exhibited a protective hepatorenal effect in a diabetic rat model.

Impact of Beekeeping on the Wild Bee Diversity in Northern Ivory Coast(West Africa)

In Ivory Coast,beekeeping takes an important place among the major economic activities.It contributes to improv-ing the population’s livelihoods thanks to its derived products which are honey,propolis,wax and royal jelly.How-ever,the installation of honey bee hives could put pressure on wild bee species,which often live solitary.However,these wild bees are excellent pollinators of cultivated and wild plants.The study aimed to assess the effect of honey bee hives on the diversity of wild bees.The methodology approach consisted of capturing bees in three different plots inside the forest fragment of the botanical garden located at the University Peleforo Gon Coulibaly.The first plot was chosen approximately from 10 m to an apiary containing ten hives.The two other plots were chosen to be 200 m and 400 m from the apiary,respectively.Bees were captured once a month for three months using pan traps(UV—blue,yellow and white).A total of 17 bee species belonging to three families(Apidae,Megachilidae and Halictidae)were identified.The furthest plot from the apiary was the most diverse(H’=2.49)and that near the apiary was the least diverse(H’=0.11).Only,two wild bee species,Hypotrigona sp.and Thrinchostoma petersi,persisted inside the plot nearby the apiary where honey bees were most abundant.The furthest plots from the apiary seem to have the highest diversity of wild bees.These findings are very relevant because they can be used for the policies of conservation of wild bees and the management of beekeeping activities.

基于ZigBee的智能火灾监控疏导系统

针对现代建筑火灾监控预警、人员及时高效疏导的需求,给出了一种基于Zig Bee的无线烟雾火灾监控疏导系统.无线传感节点实时监控烟雾火灾情况,并通过Zig Bee-Wi Fi网关将监控结果及自身状态发送给监控疏导中心.火灾时监控疏导中心广播报警信号,并根据实时火灾情况规划出合理有效的疏导路线,并通过疏导节点实时发布,以减少人员伤亡和财产损失.文中给出的无线智能火灾监控疏导系统能有效避免火灾中线缆中断而引起的通信中断,工作稳定可靠,布署灵活,可广泛用于大型复杂建筑的火灾监控及人员辅助疏导.

First Report of the Bee Fly Eurycarenus dichopticus Bezzi (Diptera: Bombyliidae) in North Kordofan State, Sudan

Sudan’s semi-arid land constitutes a diversity of habitats, species, and genetic resources of high ecological and economic value. This diversity is gradually degrading due to climate change and human misuse. Biodiversity monitoring began in Sudan before independence when a considerable number of flora and fauna species were identified. Insects were among the identified fauna where many orders, families, and species were classified especially those of economic, medicinal, and veterinary importance. Bombyliidae or bee flies are considered native to African countries and confined to the semi-arid ecosystem as pollinators of higher plants. The bee fly, Eurycarenus dichopticus recorded from these ecosystems, has gained little attention, and meager data on its biology and reproduction have been published. Adults of this insect are nectar feeders, and females also feed on pollen grains while larvae are parasitoids on certain insects. This study was conducted in three Sudanese states that lie within the semi-arid ecosystem;Khartoum, Gezira, and North Kordofan. Field surveys were conducted in these states and insect fauna was obtained and identified. Bee fly specimens were collected from North Kordofan using the butterfly net method. The specimens were then preserved and sent to the Agricultural Research Corporation ARC in (2020) where they were identified as Eurycarenus dichopticus Bezzi (Diptera: Bombyliidae) which is the first report in North Kordofan. This identification may contribute to the understanding of its ecological significance and role.

Bee pollination in vegetables:current status,challenges and prospects

Vegetables are very important for human health in the era of nutritional security because they are rich in vitamins,minerals,phytochemicals,and dietary fibers.Inadequate pollination due to the decline of pollinators is a major obstacle in achieving high productivity of vegetables that adversely affects the quality and quantity of seed production of vegetables.Bee pollination influences the profitability and productivity of several horticultural crops,especially vegetables.Bee pollination significantly increases crop quality and yield,and it also has widespread nutritional and monetary advantages.Bees encounter various obstacles that might negatively impact their quality of life,such as habitat destruction,effects of agrochemicals,insect-pest and diseases,and changing weather scenarios.The inadvertent usage of agrochemicals contaminates the vegetables and the bee products that are eventually consumed by humans.To meet the pollination demand of cross-pollinated vegetables like cucurbits and cole crops,3−5 bee colonies/hectare are sufficient.Aspects like colony conditions,beehive densities,distribution,and time of placement of bee colonies must be considered to improve bee pollination.Bees are recognized as the most important pollinators because of their effectiveness and wider availability across the globe.To ensure food security,nutritional security,and to preserve biodiversity,bee pollination must be enhanced and given prime importance in vegetables.The integrated pollination technique,which recently arose but is in the infancy stage,links wild and managed bees on more bee-friendly farmlands to provide reliable and sufficient pollination.

基于ZigBee无线网络的厂房智能照明系统

厂房照明正逐步走向智能化,并对节能、环保等方面提出较高的要求,为进一步提高智能照明系统对灯光的控制效率。本文提出基于Zig Bee无线网络的厂房智能照明系统,实现对照明系统的集中控制。试验结果表明,灯具数量35个,当Zig Bee模块数量为8时,即可满足智能灯光系统的指令传输时间要求。且智能照明系统可有效控制灯具数量较多的区域,自动根据照明面积安排灯具打开的数量。

Lake Eutrophic Evaluation Based on Bee Immune Evolutionary Algorithm

In order to establish the lake eutrophic evaluation model for multiple indices,based on the gauge transformation,an index formula in the form of a logarithmic power function was proposed to design an eutrophic evaluation model for the ＂ normalized values＂ of multi-indexes.The parameters in the formula were also optimized by bee immune evolutionary algorithm（BEIEA）.The universal index formula was suitable to multiindices items for eutrophic evaluation.At the same time,the formula was applied to practical eutrophic evaluations in 10 regions of Dong Lake.The evaluation results were coincident with those obtained from the power function of weighted sums and also with actual conditions.It was shown that the bee immune evolutionary algorithm was suitable to the parameter optimization in the eutrophic evaluation model.

基于ZigBee的开关柜触头温度在线监测预警系统

目前现场运行的大量开关柜中,触头测温存在传感器接触式、数据传输有线式带来的安全性不足,笔者研究一种基于Zig Bee无线通信的开关柜触头温度在线监测预警系统,着重提出温度监测数据的预处理、温度变化趋势预测、开关柜温度预警的实用算法,开发该系统的分布式硬件平台及其数据传输格式、上位机Lab VIEW软件。实验测试表明,所研究的开关柜触头温度在线监测预警方案是可行的,实现了设备状态的数据可靠快速传输和监测预警信息的可视化。

基于Zig Bee和LabVIEW的多功能数据采集系统

针对工业现场对温度、加速度、倾斜度等参数进行实时无线监控的要求,为适应现场环境,提出了一种将Z ig Bee无线通信技术与虚拟仪器技术相结合的设计方案。该方案以PIC单片机和CC2420射频芯片为网络平台,设计了数据采集处理系统,应用虚拟仪器软件LabVIEW编写程序,实现了对环境温度、物体加速度、倾斜角度等数据的采集、分析、存储、输出和报警。经过试验测试表明:系统运行稳定,效果良好。