Energy Efficient Clustered Routing Strategy For WSN

Wireless sensor network alludes in the route of a group of spatially dedicated sensors for screening, accumulating the normal information in distant zones and sending the gathered knowledge to a central region. In past a few methodologies that cut back the vitality utilization by actualizing efficient steering conventions had been presented. Every sensor hub detects learning and transmits it to its bunch head. Bunch head mix information from its group and transmit the gathered learning to the base station. A few vitality sparing gradable directing conventions are upheld inside the past like LEACH, HEED, PEGASIS, and TBC. TBC (Tree-based for the most part Clustering) convention is another change over HEED convention that executes intra-bunch correspondence to downsize vitality utilization. each bunch head go about as the root hub of the tree and every sensor hub transmit information to close hub that lies on the on account of the root hub. This convention circulates the vitality stack over all part hubs and thusly adjusts the general vitality utilization of the system. To draw out the system life, this work executes another tree-based bunch steering technique called Tree-Based Energy Efficient Clustering Protocol (TBEEC) (TBEEC). Amid this work, the hub having the lesser separation to the base station and preferable vitality over the contrary hubs of the bunch is hoisted as the group set out toward aspherical. All hubs of group forward their insight to the bunch head by exploitation elective halfway hubs that lie on the on account of the bunch head. Further, amid this work between bunch correspondence is authorized to downsize the vitality utilization. Each group head as opposed to sending blend information on to the base station appearance for halfway bunch head that untruths nearly the base station. This form information must go at the lesser separation that finishes in vitality sparing that delays the system life. The arranged convention beats the confinement of existing TBC convention. The reproduction comes about demonstrate that the arranged convention performs higher than the predominant directing conventions like LEACH, HEED, PEGASIS, and TBC

Efficacy and safety of travoprost 0.004% compared with tafluprost 0.0015% in patients with primary open-angle glaucoma

Background: This prospective, open, randomized, parallel-group, comparative study is to evaluate the efficacy and side-effect profile of travoprost (TRAV) 0.004% compared with tafluprost (TAF) 0.0015% in patients with primary open-angle glaucoma (POAG) over 12 weeks. A total of 80 patients of POAG selected and were randomized to either TRAV or TAF monotherapy administered once daily in the evening for 12 weeks.Methods: The study was conducted on 80 cases of POAG, in which patients were randomized to either TRAV or TAF monotherapy administered as 1 drop daily in the evening for 12 weeks. Intraocular pressure (IOP) was measured (8 am, 12 noon and 4 pm) at each visit, slit-lamp bio-microscopy was done and side effects noted.Results: The mean IOP reduction in TRAV group decreased from 27.58±2.30 to 19.03±2.326 thus resulting in fall of 8.55 (31.0%) and in TAF group it decreased from 27.38±2.676 to 20.58±2.827 resulting in fall of 6.8 mm Hg (24.8%) was significant (p<0.05). In both treatment groups, the most frequently reported adverse event at 12 weeks was red eye, noted in, 9 (22.5%) and 7 (17.5%) cases of TRAV and TAF groups respectively, though the difference was not statistically significant.Conclusion: TRAV 0.004% monotherapy produced lower diurnal IOP than TAF 0.0015% in patients with POAG and exhibited a similar safety profile

Brassinosteroids as promoters of seedling growth and antioxidant activity under heavy metal zinc stress in mung bean (Vigna radiata L.)

The escalation of harmful pollutants, including heavy metals, due to industrialization and urbanization has become a global concern. To mitigate the negative impacts of heavy metal stress on germination and early plant development, growth regulators have been employed. This study aimed to evaluate the response of mung bean (Vigna radiata L.) to zinc stress in the presence of brassinosteroids, focusing on seedling growth and antioxidant potential. Mung bean seedlings were treated with three concentrations of 24-epibrassinolide (EBL) (0.1, 0.2, and 0.4 PPM) with or without zinc. Results demonstrated that the application of brassinosteroids, combined with zinc stress, significantly enhanced germination percentage (about 47.06, 63.64, and 120%), speed of germination (about 39.13, 50, and 100%), seedling growth (about 38% in case of treatment combined 0.4 PPM 24-EBL and 1.5 mM ZnSO4) and seedling vigor index (204% in case of treatment combined 0.4 PPM 24-EBL and 1.5 mM ZnSO4) compared to zinc-treated seedlings alone after 24 h. The activities of antioxidative enzymes (catalase, ascorbate peroxidase, polyphenol oxidase, and peroxidase) and total soluble protein content decreased, while lipid peroxidation and proline content exhibited a significant increase (p ≤ 0.05) when compared to the control. However, the negative effects induced by heavy metal stress on these parameters were significantly mitigated by EBL application. Notably, the most effective concentration of EBL in overcoming zinc stress was found to be 0.4 PPM. These findings underscore the potential of exogenously applied brassinosteroids as a valuable tool in phytoremediation projects by ameliorating heavy metal stress

Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High Throughput Screening Assays for the Estrogen Receptor

We demonstrate a computational network model that integrates 18 in vitro, high-throughput screening assays measuring estrogen receptor (ER) binding, dimerization, chromatin binding, transcriptional activation and ER-dependent cell proliferation. The network model uses activity patterns across the in vitro assays to predict whether a chemical is an ER agonist or antagonist, or is otherwise influencing the assays through a manner dependent on the physics and chemistry of the technology platform (“assay interference”). The method is applied to a library of 1812 commercial and environmental chemicals, including 45 ER positive and negative reference chemicals. Among the reference chemicals, the network model correctly identified the agonists and antagonists with the exception of very weak compounds whose activity was outside the concentration range tested. The model agonist score also correlated with the expected potency class of the active reference chemicals. Of the 1812 chemicals evaluated, 111 (6.1%) were predicted to be strongly ER active in agonist or antagonist mode. This dataset and model were also used to begin a systematic investigation of assay interference. The most prominent cause of false-positive activity (activity in an assay that is likely not due to interaction of the chemical with ER) is cytotoxicity. The model provides the ability to prioritize a large set of important environmental chemicals with human exposure potential for additional in vivo endocrine testing. Finally, this model is generalizable to any molecular pathway for which there are multiple upstream and downstream assays available

A SURVEY ON SUPERVISED METHOD FOR DETECTION OF MALWARE

The Number of Android mobile devices has been increased in recent year. There are so many approaches for detection of android malware has been proposed by using permission or source code analysis or dynamic analysis. In this survey paper, we use a probabilistic discriminative model for detection of malware by using supervised method .It also show that probabilistic model based on regularized regression also it works well with permission. Furthermore this first research model achieves the best detection result code and application permission. In the previous work limited tool were used for analysis of the APK file, we will be using three of the most advanced tool for APK analysis namely 1.dex2jar, 2. Java Decompiler, 3.class file analyzer. These three tools will give us complete part of analysis for the existing system

AN SUPERVISED METHOD FOR DETECTION MALWARE BY USING MACHINE LEARNING ALGORITHM

There is Explosive increase in mobile application more and more threat, viruses and benign are migrate from traditional PC to mobile devices. Existence of this information and access creates more importance which makes device attractive targets for malicious entities. For this we proposed a probabilistic discriminative model which has regularized logistic regression for android malware detection with decompiled source code. There are so many approaches for detection of android malware has been proposed by using permission or source code analysis or dynamic analysis. In this survey paper, we use a probabilistic discriminative model for detection of malware by using supervised method. It also shows that probabilistic model based on regularized regression also it works well with permission. These three tools will give us complete part of analysis for the existing system which will gives us a complete part of analysis for exiting system. From this tool we get source code patterns. These patterns are studied and network database is train for getting malware and normal app signature

Selection for narrow gate of emergence results in correlated sex-specific changes in life history of Drosophila melanogaster

Since the ability to time rhythmic behaviours in accordance with cyclic environments is likely to confer adaptive advantage to organisms, the underlying clocks are believed to be selected for stability in timekeeping over evolutionary time scales. Here we report the results of a study aimed at assessing fitness consequences of a long-term laboratory selection for tighter circadian organisation using fruit fly Drosophila melanogaster populations. We selected flies emerging in a narrow window of 1 h in the morning for several generations and assayed their life history traits such as pre-adult development time, survivorship, adult lifespan and lifetime fecundity. We chose flies emerging during the selection window (in the morning) and another window (in the evening) to represent adaptive and non-adaptive phenotypes, respectively, and examined the correlation of emergence time with adult fitness traits. Adult lifespan of males from the selected populations does not differ from the controls, whereas females from the selected populations have significantly shorter lifespan and produce more eggs during their mid-life compared to the controls. Although there is no difference in the lifespan of males of the selected populations, whether they emerge in morning or evening window, morning emerging females live slightly shorter and lay more eggs during the mid-life stage compared to those emerging in the evening. Interestingly, such a time of emergence dependent difference in fitness is not seen in flies from the control populations. These results, therefore, suggest reduced lifespan and enhanced mid-life reproductive output in females selected for narrow gate of emergence, and a sex-dependent genetic correlation between the timing of emergence and key fitness traits in these populations

Enzymes of glutamine and asparagine metabolism in developing wheat grains

This article does not have an abstract

Stability of Adult Emergence and Activity/Rest Rhythms in Fruit Flies Drosophila melanogaster under Semi-Natural Condition

Here we report the results of a study aimed at examining stability of adult emergence and activity/rest rhythms under seminatural conditions (henceforth SN), in four large outbred fruit fly Drosophila melanogaster populations, selected for emergence in a narrow window of time under laboratory (henceforth LAB) light/dark (LD) cycles. When assessed under LAB, selected flies display enhanced stability in terms of higher amplitude, synchrony and accuracy in emergence and activity rhythms compared to controls. The present study was conducted to assess whether such differences in stability between selected and control populations, persist under SN where several gradually changing time-cues are present in their strongest form. The study revealed that under SN, emergence waveform of selected flies was modified, with even more enhanced peak and narrower gate-width compared to those observed in the LAB and compared to control populations in SN. Furthermore, flies from selected populations continued to exhibit enhanced synchrony and accuracy in their emergence and activity rhythms under SN compared to controls. Further analysis of zeitgeber effects revealed that enhanced stability in the rhythmicity of selected flies under SN was primarily due to increased sensitivity to light because emergence and activity rhythms of selected flies were as stable as controls under temperature cycles. These results thus suggest that stability of circadian rhythms in fruit flies D. melanogaster, which evolved as a consequence of selection for emergence in a narrow window of time under weak zeitgeber condition of LAB, persists robustly in the face of day-to-day variations in cycling environmental factors of nature

Temperature can entrain egg laying rhythm of Drosophila but may not be a stronger zeitgeber than light

In Drosophila multiple circadian oscillators and behavioral rhythms are known to exist, yet most previous studies that attempted to understand circadian entrainment have focused on the activity/rest rhythm and to some extent the adult emergence rhythm. Egg laying behavior of Drosophila females also follows circadian rhythmicity and has been seen to deviate substantially from the better characterized rhythms in a few aspects. Here we report the findings of our study aimed at evaluating how circadian egg laying rhythm in fruit flies Drosophila melanogaster entrains to time cues provided by light and temperature. Previous studies have shown that activity/rest rhythm of flies entrains readily to light/dark (LD) and temperature cycles (TC). Our present study revealed that egg laying rhythm of a greater percentage of females entrains to TC compared to LD cycles. Therefore, in the specific context of our study this result can be taken to suggest that egg laying clocks of D. melanogaster entrains to TC more readily than LD cycles. However, when TC were presented along with out-of-phase LD cycles, the rhythm displayed two peaks, one occurring close to lights-off and the other near the onset of low temperature phase, indicating that upon entrainment by TC, LD cycles may be able to exert a greater influence on the phase of the rhythm. These results suggest that temperature and light associatively entrain circadian egg laying clocks of Drosophila