AdGraph: a graph-based approach to ad and tracker blocking

User demand for blocking advertising and tracking online is large and growing. Existing tools, both deployed and described in research, have proven useful, but lack either the completeness or robustness needed for a general solution. Existing detection approaches generally focus on only one aspect of advertising or tracking (e.g. URL patterns, code structure), making existing approaches susceptible to evasion. In this work we present AdGraph, a novel graph-based machine learning approach for detecting advertising and tracking resources on the web. AdGraph differs from existing approaches by building a graph representation of the HTML structure, network requests, and JavaScript behavior of a webpage, and using this unique representation to train a classifier for identifying advertising and tracking resources. Because AdGraph considers many aspects of the context a network request takes place in, it is less susceptible to the single-factor evasion techniques that flummox existing approaches. We evaluate AdGraph on the Alexa top-10K websites, and find that it is highly accurate, able to replicate the labels of human-generated filter lists with 95.33% accuracy, and can even identify many mistakes in filter lists. We implement AdGraph as a modification to Chromium. AdGraph adds only minor overhead to page loading and execution, and is actually faster than stock Chromium on 42% of websites and AdBlock Plus on 78% of websites. Overall, we conclude that AdGraph is both accurate enough and performant enough for online use, breaking comparable or fewer websites than popular filter list based approaches

Salt tolerance variation in some common trees

The reduction in seed germination and seedling growth varies with plant species, salinity level and ionic composition of the salts present in soil solutions. Seed germination of Leucaena leucocephala and Prosopis juliflora were affected in soil extract of all halophytic communities. Significant (p < 0.05) reduction in seed germination of Thespesia populnea was found in soil extract of Cressa-Suaeda-Atriplex and Suaeda-Heliotropium-Tamarix community. The root growth of P. juliflora was significantly reduced in soil extract of Haloxylon-Suaeda-Atriplex community. Significant inhibition in shoot growth of L. leucocephala and P. juliflora were found in soil extract of Haloxylon-Suaeda-Atriplex community. L. leucocephala and T. populnea showed low tolerance in soil extract of Cressa-Suaeda-Atriplex community. P. juliflora demonstrated low tolerance in soil extract of Haloxylon-Suaeda-Atriplex community. The soil collected from different community showed variation for soil conductivity and cations. The highest sodium (11,500 µg/g) was observed in Suaeda-Heliotropium-Tamarix community. Salsola-Fagonia- Zygophyllum community exhibited the lowest concentration of sodium and potassium, 500 and 75 µg/g, respectively. It was found that sodium was directly proportional to the conductivity of the soil extract

Heuristic-based programable controller for efficient energy management under renewable energy sources and energy storage system in smart grid

An operative and versatile household energy management system is proposed to develop and implement demand response (DR) projects. These are under the hybrid generation of the energy storage system (ESS), photovoltaic (PV), and electric vehicles (EVs) in the smart grid (SG). Existing household energy management systems cannot offer its users a choice to ensure user comfort (UC) and not provide a sustainable solution in terms of reduced carbon emission. To tackle these problems, this research work proposes a heuristic-based programmable energy management controller (HPEMC) to manage the energy consumption in residential buildings to minimize electricity bills, reduce carbon emissions, maximize UC and reduce the peak-to-average ratio (PAR). We used our proposed hybrid genetic particle swarm optimization (HGPO) algorithm and existing algorithms like a genetic algorithm (GA), binary particle swarm optimization algorithm (BPSO), ant colony optimization (ACO), wind-driven optimization algorithm (WDO), bacterial foraging algorithm (BFA) to schedule smart appliances optimally to attain our desired objectives. In the proposed model, consumers use solar panels to produce their energy from microgrids. We also perform MATLAB simulations to validate our proposed HGPO-HPEMC (HHPEMC), and results confirm the efficiency and productivity of our proposed HPEMC based strategy. The proposed algorithm reduced the electricity cost by 25.55%, PAR by 36.98%, and carbon emission by 24.02% as compared to the case of without scheduling

SoftSystem: Smart Edge Computing Device Selection Method for IoT Based on Soft Set Technique

The Internet of Things (IoT) is growing day by day, and new IoT devices are introduced and interconnected. Due to this rapid growth, IoT faces several issues related to communication in the edge computing network. The critical issue in these networks is the effective edge computing IoT device selection whenever there are several edge nodes to carry information. To overcome this problem, in this paper, we proposed a new framework model named SoftSystem based on the soft set technique that recommends useful IIoT devices. Then, we proposed an algorithm named Softsystemalgo. For the proposed system, three different parameters are selected: IoT Device Security (IDSC), IoT Device Storage (IDST), and IoT Device Communication Speed (IDCS). We also find out the most significant parameters from the given set of parameters. It is evident that our proposed system is effective for the selection of edge computing devices in the IoT network

Osthole: A Multifunctional Natural Compound with Potential Anticancer, Antioxidant and Anti-inflammatory Activities

Nature has always proved to be a significant reservoir of bioactive scaffolds that have been used for the discovery of drugs since times. Medicinal plants continue to be a solid niche for biologically active and therapeutically effective chemical entities, opening up new avenues for the successful treatment of several human diseases. The contribution of plant-derived compounds to drug discovery, either in their original or in the semi-synthetic derivative form, extends far back in time. This review aims to focus on the sources, biological, and pharmacological profile of a pharmacologically active plant-derived coumarin, osthole, which is an important component of numerous remedial plants such as Cnidium monnieri. Several studies have revealed that osthole possess pharmacological properties such as anticancer, antioxidant, anti-hyperglycemic, neuroprotective, and antiplatelet. Osthole has been reported to regulate various signaling pathways, which in turn modulate several apoptosis-related pro-teins, cell cycle regulators, protein kinases, transcriptional factors, cytokines, and growth receptors affiliated with inflammation, proliferation and several other ailments. Osthole is known to halt proliferation and metastasis of cancerous cells by arresting the cell cycle and inducing apoptosis. The data in this review paper supports the pharmacological potential of osthole but further experimentation, biosafety profiling and synergistic effects of this compound need to be focused by the researchers to understand the full spectrum of pharmacological potential of this therapeutically potent compound

Moxibustion for hypertension: a systematic review

<p>Abstract</p> <p>Background</p> <p>Moxibustion is a traditional East Asian medical therapy that uses the heat generated by burning herbal preparations containing <it>Artemisia vulgaris </it>to stimulate acupuncture points. The aim of this review was to evaluate previously published clinical evidence for the use of moxibustion as a treatment for hypertension.</p> <p>Methods</p> <p>We searched 15 databases without language restrictions from their respective dates of inception until March 2010. We included randomized controlled trials (RCTs) comparing moxibustion to either antihypertensive drugs or no treatment. The risk of bias was assessed for each RCT.</p> <p>Results</p> <p>During the course of our search, we identified 519 relevant articles. A total of 4 RCTs met all the inclusion criteria, two of which failed to report favorable effects of moxibustion on blood pressure (BP) compared to the control (antihypertensive drug treatment alone). However, a third RCT showed significant effects of moxibustion as an adjunct treatment to antihypertensive drug therapy for lowering BP compared to antihypertensive drug therapy alone. The fourth RCT included in this review addressed the immediate BP-lowering effects of moxibustion compared to no treatment. None of the included RCTs reported the sequence generation, allocation concealment and evaluator blinding.</p> <p>Conclusion</p> <p>There is insufficient evidence to suggest that moxibustion is an effective treatment for hypertension. Rigorously designed trials are warranted to answer the many remaining questions.</p

Using breath carbon monoxide to validate self-reported tobacco smoking in remote Australian Indigenous communities

Background: This paper examines the specificity and sensitivity of a breath carbon monoxide (BCO) test and\ud optimum BCO cutoff level for validating self-reported tobacco smoking in Indigenous Australians in Arnhem Land,\ud Northern Territory (NT).\ud \ud Methods: In a sample of 400 people (≥16 years) interviewed about tobacco use in three communities, both selfreported\ud smoking and BCO data were recorded for 309 study participants. Of these, 249 reported smoking tobacco\ud within the preceding 24 hours, and 60 reported they had never smoked or had not smoked tobacco for ≥6\ud months. The sample was opportunistically recruited using quotas to reflect age and gender balances in the\ud communities where the combined Indigenous populations comprised 1,104 males and 1,215 females (≥16 years).\ud Local Indigenous research workers assisted researchers in interviewing participants and facilitating BCO tests using\ud a portable hand-held analyzer.\ud \ud Results: A BCO cutoff of ≥7 parts per million (ppm) provided good agreement between self-report and BCO\ud (96.0% sensitivity, 93.3% specificity). An alternative cutoff of ≥5 ppm increased sensitivity from 96.0% to 99.6% with no change in specificity (93.3%). With data for two self-reported nonsmokers who also reported that they smoked\ud cannabis removed from the analysis, specificity increased to 96.6%.\ud \ud Conclusion: In these disadvantaged Indigenous populations, where data describing smoking are few, testing for\ud BCO provides a practical, noninvasive, and immediate method to validate self-reported smoking. In further studies\ud of tobacco smoking in these populations, cannabis use should be considered where self-reported nonsmokers\ud show high BCO

An international comparison of Retinopathy of Prematurity grading performance within the Benefits of Oxygen Saturation Targeting (BOOST) II trials. International variation in ROP grading.

PurposeTo investigate whether the observed international differences in retinopathy of prematurity (ROP) treatment rates within the Benefits of Oxygen Saturation Targeting (BOOST) II trials might have been caused by international variation in ROP disease grading.MethodsGroups of BOOST II trial ophthalmologists in UK, Australia, and New Zealand (ANZ), and an international reference group (INT) used a web based system to grade a selection of RetCam images of ROP acquired during the BOOST II UK trial. Rates of decisions to treat, plus disease grading, ROP stage grading, ROP zone grading, inter-observer variation within groups and intra-observer variation within groups were measured.ResultsForty-two eye examinations were graded. UK ophthalmologists diagnosed treat-requiring ROP more frequently than ANZ ophthalmologists, 13.9 (3.49) compared to 9.4 (4.46) eye examinations, P=0.038. UK ophthalmologists diagnosed plus disease more frequently than ANZ ophthalmologists, 14.1 (6.23) compared to 8.5 (3.24) eye examinations, P=0.021. ANZ ophthalmologists diagnosed stage 2 ROP more frequently than UK ophthalmologists, 20.2 (5.8) compared to 12.7 (7.1) eye examinations, P=0.026. There were no other significant differences in the grading of ROP stage or zone. Inter-observer variation was higher within the UK group than within the ANZ group. Intra-observer variation was low in both groups.ConclusionsWe have found evidence of international variation in the diagnosis of treatment-requiring ROP. Improved standardisation of the diagnosis of treatment-requiring ROP is required. Measures might include improved training in the grading of ROP, using an international approach, and further development of ROP image analysis software.Eye advance online publication, 28 July 2017; doi:10.1038/eye.2017.150