73 research outputs found

    Performances of BRIS Soils Genesis and Classification in Terengganu, Malaysia

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    The soils in the study area were found to be excessively well drained and too sandy. Thus, we wanted to determine how the BRIS soil in Merang is formed and how to improve its productivity. Intensive soil survey was applied in this research and soil sampling was taken and analyzed in laboratory for determining soil parameters. The research results showed that soil series are occurring side by side which relate the coexistence of beach ridges running parallel in different elevation to the seashore. Almost all profiles show no clear differentiation of horizons and are dominated by sand fractions (95-98 %), silt and clay contends are below 4%. According to soil taxonomy, Baging series are classified as Sandy, siliceous, isohyperthermic, typic, Quartzipsamments, Rhu Tapai is named as Sandy, siliceous, isohyperthermic, arenic, Alorthods, Rudua is identical with Sandy, siliceous, isohyperthermic, arenic, Alorthods and Jambu belongs to Sandy, siliceous, isohyperthermic, arenic, Alorthods. Keywords: Performances, Genesis, Classsification, BRIS soils, Terengganu plain, Malaysi

    Fecundity and egg size of grey-eel catfish Plotosus canius (Hamilton, 1822) from the coastal waters of Kampong Telok, Negeri Sembilan, Peninsular Malaysia

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    Despite the vast researches on catfish species in Malaysia, Plotosus canius, the grey- eel catfish which is primarily found throughout the coastal seas of Malaysia has been neglected. No single published work on aspects of biology, especially its reproductive biology is available. In this study, fecundity and egg size of P. canius from coastal waters of Kampong Telok, Malaysia were studied. A total of 32 gravid females were used in the study. The mean fecundity of the female having a length of 50.28 cm and a wet body weight of 680 g was estimated to be 865 eggs. Fecundity was found to show positive relationship with total length (r = 0.379), body weight (r = 0.494) and gonad weight(r = 0.336) but the values were not statistically significant (p>0.05). Egg diameter (mm) among the various length groups showed a polymodal distribution but the differences were statistically significant (p>0.05). This study being the first attempt to gather information of P. canius in Malaysia would form a basis for future works of this catfish

    Morphometric relations in the grey eel catfish Plotosus canius in the coastal waters of Port Dickson, Peninsular Malaysia

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    Samples of grey eel catfish Plotosus canius were collected from the coastal waters of Port Dickson, Malaysia from January to December, 2012. A total of 341 specimens (172 males and 169 females) were used to estimate the length-weight relationship parameters. Mean population size of females were 0.72 cm taller than the males, however difference was not significant (t-test, P > 0.05). The overall relationship equations between total length (TL) and body weight (BW) were established for males as Log TW = 2.71 Log TL ? 1.85 (R2 = 0.95) and for females as Log TW = 2.88 Log TL ? 2.10 (R2 = 0.95). The estimated relative growth co-efficient (b) values were 2.71 for males and 2.88 for females. It is revealed that growth pattern of the species showed negative allometry. In both males and females, relationship between TL and SL gave highest regression coefficient (0.99). While relationship between TL and EL gave lowest regression coefficient in both males and females (0.87 and 0.81 respectively). The findings from this study contributed first information on morphometric relations of the fish from Malaysian coastal waters and could be useful for sustainable management options of P. canius in Malaysia

    Security Techniques and Solutions for Preventing the Cross-Site Scripting Web Vulnerabilities: A General Approach

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    The growth of social networking sites across the World Wide Web is directly proportional to the complex user- created HTML content and this habit is rapidly becoming the norm rather than exception. Complex user created web message is a threat for cross site scripting (XSS) attacks that hits various websites and confidential user data. In this state, processes that prevent web applications to XSS attacks have been of recent interest for researchers. Most of the web applications and confidential user data have security problem with XSS attacks. Using this method an attacker embeds his malicious script into application’s output. This contaminated response of server is sent to a user’s web browser where it is executed and user’s sensitive data is transmitted to a third party. Recently XSS attack is prevented on server side, by thoroughly examining, filtering and removing malicious content inserted by hacker. For social networking sites the criticality of XSS attacks gets even higher because the hackers can try more socially engineered attacks where the target user can be fooled by thinking that an attack link is coming from his ‘friend’. The presented solution focuses on prevention techniques for cross-site (XSS) attacks both on server side and on the client side by keeping a track of all user requests and information. We have also discussed various recent XSS attacks in real world and have done analysis that why filtering mechanisms are so abortive and being failed in defending these attacks

    A STUDY OF INTERNET THREATS, AVOIDANCE AND BIOMETRIC SECURITY TECHNIQUES - COMPARISON OF BIOMETRIC TECHNIQUES

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    In today’s IT world, most of the communication is done through networking. So, security of information is very crucial. A lot of techniques have been developed for security which involves passwords, encryption, digital signatures etc. But there are chances of vulnerabilities in these techniques and hackers can break the security algorithms of these techniques. So, in this era, researchers have moved towards biometric techniques of security. It involves identification of people based on their physical characteristics or psychological behaviors. A choice of biometric method to be used is made depending on the level of security required and the goals of the system. Biometric identification is very excellent and secure way of authenticating people. But it can also suffer from security threats, if proper design considerations are not taken into account. This work presents details of biometric techniques and a detailed comparison of most famous biometric techniques

    The critical role of nitrogen in plants facing the salinity stress: Review and future prospective

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    Salinity stress is a serious abiotic stress that negatively affect the crop growth and development. Mineral nutrient supplementation is considered as an effective strategy to mitigate the adverse effects of salinity. Nitrogen (N) is an important nutrient needed for plants and its application also an effective strategy to mitigate adverse impacts of salinity. Salinity stress disturbs plant physiological, and biochemical functions, antioxidant activities, cellular membranes, antioxidant activities and nutrient uptake thereby cause significant reduction in plant growth and development. The application of N maintains membrane stability, plant water relations, leaf gas exchange characteristics, and protect the plants from oxidative damages which induce the salt tolerance in plants. Besides, this N also improves nutrient uptake and it also induce cellular signaling that mitigate the adverse impacts of salinity. Therefore, it is interesting to understand the role of N in inducing salt tolerance in plants. In present review the mechanisms of N uptake and assimilation in plants under saline conditions are discussed. The present review provides information on how N mitigates ionic toxicity, and oxidative damages and maintains nutrient balance to counter the toxic effects of salinity stress in plants. This review will help the readers to learning more about the role of N in inducing salt tolerance in plants

    NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation

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    The recent enhanced sophistication of non-invasive mapping of the human motor cortex using MRI-guided Transcranial Magnetic Stimulation (TMS) techniques, has not been matched by refinement of methods for generating maps from motor evoked potential (MEP) data, or in quantifying map features. This is despite continued interest in understanding cortical reorganization for natural adaptive processes such as skill learning, or in the case of motor recovery, such as after lesion affecting the corticospinal system. With the observation that TMS-MEP map calculation and quantification methods vary, and that no readily available commercial or free software exists, we sought to establish and make freely available a comprehensive software package that advances existing methods, and could be helpful to scientists and clinician-researchers. Therefore, we developed NeuroMeasure, an open source interactive software application for the analysis of TMS motor cortex mapping data collected from Nexstim® and BrainSight®, two commonly used neuronavigation platforms. NeuroMeasure features four key innovations designed to improvemotor mapping analysis: de-dimensionalization of the mapping data, fitting a predictive model, reporting measurements to characterize the motor map, and comparing those measurements between datasets. This software provides a powerful and easy to use workflow for characterizing and comparing motor maps generated with neuronavigated TMS. The software can be downloaded on our github page: https://github.com/EdwardsLabNeuroSci/NeuroMeasure. AIM This paper aims to describe a software platform for quantifying and comparing maps of the human primarymotor cortex, using neuronavigated transcranialmagnetic stimulation, for the purpose of studying brain plasticity in health and diseas

    Neuromeasure: A software package for quantification of cortical motor maps using frameless stereotaxic transcranial magnetic stimulation

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    The recent enhanced sophistication of non-invasive mapping of the human motor cortex using MRI-guided Transcranial Magnetic Stimulation (TMS) techniques, has not been matched by refinement of methods for generating maps from motor evoked potential (MEP) data, or in quantifying map features. This is despite continued interest in understanding cortical reorganization for natural adaptive processes such as skill learning, or in the case of motor recovery, such as after lesion affecting the corticospinal system. With the observation that TMS-MEP map calculation and quantification methods vary, and that no readily available commercial or free software exists, we sought to establish and make freely available a comprehensive software package that advances existing methods, and could be helpful to scientists and clinician-researchers. Therefore, we developed NeuroMeasure, an open source interactive software application for the analysis of TMS motor cortex mapping data collected from Nexstim® and BrainSight®, two commonly used neuronavigation platforms. NeuroMeasure features four key innovations designed to improve motor mapping analysis: de-dimensionalization of the mapping data, fitting a predictive model, reporting measurements to characterize the motor map, and comparing those measurements between datasets. This software provides a powerful and easy to use workflow for characterizing and comparing motor maps generated with neuronavigated TMS. The software can be downloaded on our github page: https://github.com/EdwardsLabNeuroSci/NeuroMeasure Aim This paper aims to describe a software platform for quantifying and comparing maps of the human primary motor cortex, using neuronavigated transcranial magnetic stimulation, for the purpose of studying brain plasticity in health and disease

    NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation

    Get PDF
    The recent enhanced sophistication of non-invasive mapping of the human motor cortex using MRI-guided Transcranial Magnetic Stimulation (TMS) techniques, has not been matched by refinement of methods for generating maps from motor evoked potential (MEP) data, or in quantifying map features. This is despite continued interest in understanding cortical reorganization for natural adaptive processes such as skill learning, or in the case of motor recovery, such as after lesion affecting the corticospinal system. With the observation that TMS-MEP map calculation and quantification methods vary, and that no readily available commercial or free software exists, we sought to establish and make freely available a comprehensive software package that advances existing methods, and could be helpful to scientists and clinician-researchers. Therefore, we developed NeuroMeasure, an open source interactive software application for the analysis of TMS motor cortex mapping data collected from Nexstim® and BrainSight®, two commonly used neuronavigation platforms. NeuroMeasure features four key innovations designed to improve motor mapping analysis: de-dimensionalization of the mapping data, fitting a predictive model, reporting measurements to characterize the motor map, and comparing those measurements between datasets. This software provides a powerful and easy to use workflow for characterizing and comparing motor maps generated with neuronavigated TMS. The software can be downloaded on our github page: https://github.com/EdwardsLabNeuroSci/NeuroMeasureAimThis paper aims to describe a software platform for quantifying and comparing maps of the human primary motor cortex, using neuronavigated transcranial magnetic stimulation, for the purpose of studying brain plasticity in health and disease
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