Scrutiny of unruly and abuse in wireless networks to mitigate physical layer threats using discriminate based misbehavior prevention

The open nature of communication medium in wireless networks becomes easy for the attackers to indulge in jamming attack. Jamming blocks the communication channel with the intent of preventing the flow of useful information. Jammers effectively and stealthy corrupts the packet by injecting high level of noise thereby keeping the channel busy so that the legitimate traffic gets completely blocked, resulting in packet loss at the receiver side. Securing the information from the jammers has become very important. Therefore an effective approach is needed to prevent this attack and this paper proposes Discriminate based Misbehavior Prevention DMP scheme to identify and to detach the jammer that corrupts the packet in wireless network. The proposed scheme consists of three modules. In module one, the log files are analyzed and using the trusting mechanism the suspected traces are identified. In module two, three reshuffling algorithms has been developed for reshuffling and identifying doubtful traces. In module three, the jammer nodes are identified and detached from the network. By simulation studies, it is observed that the proposed scheme attains higher throughput and packet delivery ratio while attaining lower delay.     

Detecting disease and parasite threats to endangered species and ecosystems

Ecologists have recently begun to acknowledge the importance of disease and parasites in the dynamics of populations. Diseases and parasites have probably been responsible for a number of extinctions on islands and on large land masses, but the problem has only been identified in retrospect. In contrast, endemic pathogens and parasites may operate as keystone species, playing a crucial role in maintaining the diversity of ecological communities and ecosystems. Will recent advances in the understanding of parasite population biology allow us to predict threats to endangered species and communities?     

Population policies in developing countries and related international attitudes

Abstract

Huntington's disease (HD) is a chronic degenerative neurologic disorder inherited as an autosomal dominant trait. Symptom onset typically occurs at about age 40, and considerable effort has been expended in attempts to diagnose the disorder prior to the childbearing years. We review attempts to use psychological tests in early diagnosis. Specifically, we identify variables that show promise as early markers of the disorder, review evidence that a prodromal phase may exist, analyze the few prospective studies of persons at risk for HD, and consider the logical and methodological problems involved in early detection research.     

生物多样性适应气候变化的国家政策和措施: 国际经验及启示

气候变化已成为威胁生物多样性及生态系统服务功能的主要因素之一, 许多国家已经意识到必须提高本国生物多样性适应气候变化的能力。一些国家出台了国家战略, 采取增加连通性、改进现有保护区域的管理和恢复措施等基于生态系统的适应措施, 采用跨学科与跨部门协作手段加强生物多样性适应气候变化的监测和评估, 并且从制度和资金等方面加强政策措施的落实。作者对部分发达国家和发展中的生物多样性大国的生物多样性适应气候变化的相关政策和措施进行了梳理, 并结合我国现状提出以下建议: (1)把生物多样性适应气候变化作为国家整体适应战略中的优先措施之一; (2)将提高生物多样性和生态系统的恢复力作为适应气候变化的基础性原则; (3)整合并完善国家生物多样性监测网络, 参考国际通行标准制定信息和数据收集标准, 并且尽快对气候变化下我国生物多样性脆弱性开展全面且持续的评估。     

Fire management to combat disease: turning interactions between threats into conservation management

As the number and intensity of threats to biodiversity increase, there is a critical need to investigate interactions between threats and manage populations accordingly. We ask whether it is possible to reduce the effects of one threat by mitigating another. We used long-term data for the long-lived resprouter, Xanthorrhoea resinosa Pers., to parameterise an individual-based population model. This plant is currently threatened by adverse fire regimes and the pathogen Phytophthora cinnamomi. We tested a range of fire and disease scenarios over various time horizons relevant to the population dynamics of the species and the practicalities of management. While fire does not kill the disease, it does trigger plant demographic responses that may promote population persistence when disease is present. Population decline is reduced with frequent fires because they promote the greatest number of germination events, but frequent fires reduce adult stages, which is detrimental in the long term. Fire suppression is the best action for the non-seedling stages but does not promote recruitment. With disease, frequent fire produced the highest total population sizes for shorter durations, but for longer durations fire suppression gave the highest population sizes. When seedlings were excluded, fire suppression was the best action. We conclude that fire management can play an important role in mitigating threats posed by this disease. The best approach to reducing declines may be to manage populations across a spatial mosaic in which the sequence of frequent fires and suppression are staggered across patches depending on the level of disease at the site.     

Natural hazard threats to pollinators and pollination

Natural hazards are naturally occurring physical events that can impact human welfare both directly and indirectly, via shocks to ecosystems and the services they provide. Animal‐mediated pollination is critical for sustaining agricultural economies and biodiversity, yet stands to lose both from present exposure to natural hazards, and future climate‐driven shifts in their distribution, frequency, and intensity. In contrast to the depth of knowledge available for anthropogenic‐related threats, our understanding of how naturally occurring extreme events impact pollinators and pollination has not yet been synthesized. We performed a systematic review and meta‐analysis to examine the potential impacts of natural hazards on pollinators and pollination in natural and cultivated systems. From a total of 117 studies (74% of which were observational), we found evidence of community and population‐level impacts to plants and pollinators from seven hazard types, including climatological (extreme heat, fire, drought), hydrological (flooding), meteorological (hurricanes), and geophysical (volcanic activity, tsunamis). Plant and pollinator response depended on the type of natural hazard and level of biological organization observed; 19% of cases reported no significant impact, whereas the majority of hazards held consistent negative impacts. However, the effects of fire were mixed, but taxa specific; meta‐analysis revealed that bee abundance and species richness tended to increase in response to fire, differing significantly from the mainly negative response of Lepidoptera. Building from this synthesis, we highlight important future directions for pollination‐focused natural hazard research, including the need to: (a) advance climate change research beyond static “mean‐level” changes by better incorporating “shock” events; (b) identify impacts at higher levels of organization, including ecological networks and co‐evolutionary history; and (c) address the notable gap in crop pollination services research—particularly in developing regions of the world. We conclude by discussing implications for safeguarding pollination services in the face of global climate change.     

National and international services for primate animal research

Extensive use of nonhuman primates for biomedical research has contributed to periodic acute shortages of these animals. As a result, various resources have been developed to assist investigators in maintaining healthy colonies and conserving stocks. A wide range of expertise is available at the national and international levels to investigators working with nonhuman primates.     

Estimating chikungunya virus transmission parameters and vector control effectiveness highlights key factors to mitigate arboviral disease outbreaks

BackgroundViruses transmitted by Aedes mosquitoes have greatly expanded their geographic range in recent decades. They are considered emerging public health threats throughout the world, including Europe. Therefore, public health authorities must be prepared by quantifying the potential magnitude of virus transmission and the effectiveness of interventions.MethodologyWe developed a mathematical model with a vector-host structure for chikungunya virus transmission and estimated model parameters from epidemiological data of the two main autochthonous chikungunya virus transmission events that occurred in Southern France, in Montpellier (2014) and in Le Cannet-des-Maures (2017). We then performed simulations of the model using these estimates to forecast the magnitude of the foci of transmission as a function of the response delay and the moment of virus introduction.ConclusionsThe results of the different simulations underline the relative importance of each variable and can be useful to stakeholders when designing context-based intervention strategies. The findings emphasize the importance of, and advocate for early detection of imported cases and timely biological confirmation of autochthonous cases to ensure timely vector control measures, supporting the implementation and the maintenance of sustainable surveillance systems.