Temporal Changes in the Lesser Flamingos Population (<i>Phoenicopterus minor</i>) in Relation to Phytoplankton Abundance in Lake Manyara, Tanzania

A study on seasonal variations in the abundance of Lesser Flamingo (Phoenicopterus minor) in relation to phytoplankton abundance in lake Manyara was conducted for a period of fourteen consecutive months (July 2007 to August 2008). The aim was to relate the temporal variability in the phytoplankton species abundance and diversity of the lake to the population size of the Lesser Flamingo. Lesser Flamingo population numbers were obtained from monthly ground surveys whereby the lake was subdivided into defined counting vantage points. Water samples for phytoplankton species composition and biomass analyses were taken to the University of Dar es Salaam for laboratory analysis. The flamingo population estimates ranged from 9319 in August 2007 to 640,850 in August 2008. The Lesser Flamingo populations showed that temporal fluctuations were related to the changes in the abundance and diversity of phytoplankton species. The occurrence of Arthrospira associated with the increase in the abundance of Lesser Flamingo. It was observed that changes in the Lesser Flamingo numbers were influenced by the changes in the abundance and availability of their preferred food. The results indicated that microalgae assemblage positively correlated with ammonium and nitrate which were also related to the abundance of lesser flamingo. The phytoplankton community was dominated by cyanobacteria particularly Arthrosipira fusiformis likely due to the high lake salinity and pH that limited the growth of other microalgae. Correlation analysis showed strong correlation between the Lesser Flamingo abundance with the concentration of nitrate and ammonium and between the number of Lesser Flamingo and the cyanobacterium Arthrospira.

Hybrid Approach for Cost Efficient Application Placement in Fog-Cloud Computing Environments

Fog computing has recently developed as a new paradigm with the aim of addressing time-sensitive applications better than with cloud computing by placing and processing tasks in close proximity to the data sources.However,the majority of the fog nodes in this environment are geographically scattered with resources that are limited in terms of capabilities compared to cloud nodes,thus making the application placement problem more complex than that in cloud computing.An approach for cost-efficient application placement in fog-cloud computing environments that combines the benefits of both fog and cloud computing to optimize the placement of applications and services while minimizing costs.This approach is particularly relevant in scenarios where latency,resource constraints,and cost considerations are crucial factors for the deployment of applications.In this study,we propose a hybrid approach that combines a genetic algorithm(GA)with the Flamingo Search Algorithm(FSA)to place application modules while minimizing cost.We consider four cost-types for application deployment:Computation,communication,energy consumption,and violations.The proposed hybrid approach is called GA-FSA and is designed to place the application modules considering the deadline of the application and deploy them appropriately to fog or cloud nodes to curtail the overall cost of the system.An extensive simulation is conducted to assess the performance of the proposed approach compared to other state-of-the-art approaches.The results demonstrate that GA-FSA approach is superior to the other approaches with respect to task guarantee ratio(TGR)and total cost.

Rhino结合Flamingo与Techgems在珠宝首饰设计中的应用

Rhino是一款功能强大的3D建模软件,Flamingo和Techgems分别是与其相匹配的渲染器插件及首饰材质和设计插件,这3者共同构成了一套功能完备的首饰设计软件。简要地论述了这套软件的特点,通过宝石戒指模型的制作过程,详细地介绍了Rhino结合Flamingo与Techgems在珠宝首饰设计中的应用方法及使用技巧,整理和提供了首饰材质的设置和渲染技术的参数,以供同行参考。

Flamingo钙黏蛋白亚家族的进化研究

目的对flamingo钙黏蛋白亚家族进行系统发育研究,探索脊椎动物与非脊椎动物中flamingo钙黏蛋白的进化差异。方法构建系统发育树,进行蛋白质结构域比较和基因结构分析。结果Flamingo钙黏蛋白亚家族起源于真后生动物;在脊椎动物进化过程中发生了两次基因重复获得3个同源拷贝;脊椎动物flamingo蛋白序列结构域中含有保守的内含子插入及胞质区含有两个高度保守模序作为其进化特征。结论Flamingo钙黏蛋白在脊椎动物与非脊椎动物中存在明显的进化差异,结合小鼠flamingo同源拷贝之一Celsr1基因位于已获得的小鼠脊髓发育相关数量性状基因座(QTL)内,可将Celsr1基因作为小鼠脊髓发育的候选基因进行进一步的研究。

Morphological and molecular identification of Neopestalotiopsis clavispora causing flower blight on Anthurium andraeanum in Thailand

Flower blight on anthurium(Anthurium andraeanum)was observed during August 2018 on an anthurium cultivation farm in the Songkhla Province of southern Thailand.The fungal isolate was identified as Neopestalotiopsis clavispora based on the morphology and DNA sequence of the internal transcribed spacer(ITS),translation elongation factor 1-α(tef1-α),andβ-tubulin(tub)genes.The phylogenetic tree,based on the combined sequences of ITS,tef1-α,and tub,confirmed this pathogen as N.clavispora.Pathogenicity of the species was confirmed according to Koch’s postulate:N.clavispora could infect anthurium.To the best of our knowledge,this is the first report of N.clavispora as a pathogen of anthurium.

如恩设计的Flamingo上海办公室——2014第二十二届亚太室内设计大奖工作空间金奖作品赏析

Flamingo上海的办公室由中国著名设计公司—如恩设计完成。整个阁楼空间木制体块融入工业化建筑的顶层,与混凝土材质进行对比。充分利用斜坡形的屋顶,用混凝土对空间进行巧妙分解,使得整个屋顶元素多元化,形成立体空间。用黑色金属网盖住的天窗打在斜坡屋顶,设计师使得主工作区充分采光,运用极具现代感的建筑装饰元素,

Developing a Secure Framework Using Feature Selection and Attack Detection Technique

Intrusion detection is critical to guaranteeing the safety of the data in the network.Even though,since Internet commerce has grown at a breakneck pace,network traffic kinds are rising daily,and network behavior characteristics are becoming increasingly complicated,posing significant hurdles to intrusion detection.The challenges in terms of false positives,false negatives,low detection accuracy,high running time,adversarial attacks,uncertain attacks,etc.lead to insecure Intrusion Detection System(IDS).To offset the existing challenge,the work has developed a secure Data Mining Intrusion detection system(DataMIDS)framework using Functional Perturbation(FP)feature selection and Bengio Nesterov Momentum-based Tuned Generative Adversarial Network(BNM-tGAN)attack detection technique.The data mining-based framework provides shallow learning of features and emphasizes feature engineering as well as selection.Initially,the IDS data are analyzed for missing values based on the Marginal Likelihood Fisher Information Matrix technique(MLFIMT)that identifies the relationship among the missing values and attack classes.Based on the analysis,the missing values are classified as Missing Completely at Random(MCAR),Missing at random(MAR),Missing Not at Random(MNAR),and handled according to the types.Thereafter,categorical features are handled followed by feature scaling using Absolute Median Division based Robust Scalar(AMDRS)and the Handling of the imbalanced dataset.The selection of relevant features is initiated using FP that uses‘3’Feature Selection(FS)techniques i.e.,Inverse Chi Square based Flamingo Search(ICS-FSO)wrapper method,Hyperparameter Tuned Threshold based Decision Tree(HpTT-DT)embedded method,and Xavier Normal Distribution based Relief(XavND-Relief)filter method.Finally,the selected features are trained and tested for detecting attacks using BNM-tGAN.The Experimental analysis demonstrates that the introduced DataMIDS framework produces an accurate diagnosis about the attack with low computation time.The work avoids false alarm rate of attacks and remains to be relatively robust against malicious attacks as compared to existing methods.

盈·舞·尚 Flamingo蓝牙耳机FLA-01

火烈鸟,稀有鸟类之一,又叫红鹳,传说是经过熊熊烈火荧烧后,从灰烬中重生的神鸟。它们的粉红色羽毛鲜艳夺目,步态轻盈,天生善舞,环境适应能力极强,是很多盐碱地、高原等恶劣环境中一道亮丽的风景。