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2,631 result(s) for "Abraham, John"
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تايتانيك الخليج : الساعات الأخيرة على السفينة \دارا\
يتناول الكتاب شهادة المؤلف الصحافي الهندي بي. جي. إبراهام حول السفينة «دارا» الملقبة بـ«تايتانيك الخليج»، تلك الكارثة المجهولة، لاسيما أن انفجارها في الثامن من أبريل عام 1961 على بعد ثلاثة أميال من ساحل إمارة أم القيوين، أدى إلى موت وفقد نحو 236 مسافرا من ركاب الباخرة بينهم إماراتيون، كما توفي اثنان بعد إنقاذهما تأثرا بالحروق التي أصابتهما، بينما نجا 485 مسافرا.
Pharmaceuticalization of Society in Context: Theoretical, Empirical and Health Dimensions
Sociological interest in Pharmaceuticals has intensified, heightening awareness of 'pharmaceuticalization'. It is argued that pharmaceuticalization should be understood by reference to five main biosociological explanatory factors: biomedicalism, medicalization, pharmaceutical industry promotion and marketing, consumerism, and regulatory-state ideology or policy. The biomedicalism thesis, which claims that expansion of drug treatment reflects advances in biomedicai science to meet health needs, is found to be a weak explanatory factor because a significant amount of growth in pharmaceuticalization is inconsistent with scientific evidence, and because drug innovations offering significant therapeutic advance have been declining across the sector including areas of major health need. Some elements of consumerism have undermined pharmaceuticalization, even causing de-pharmaceuticalization in some therapeutic sub-fields. However; other aspects of consumerism, together with industry promotion, medicalization, and deregulatory state policies are found to be drivers of increased pharmaceuticalization in ways that are largely outside, or suboptimal fon significant therapeutic advances in the interests of public health.
Increasing ocean stratification over the past half-century
Seawater generally forms stratified layers with lighter waters near the surface and denser waters at greater depth. This stable configuration acts as a barrier to water mixing that impacts the efficiency of vertical exchanges of heat, carbon, oxygen and other constituents. Previous quantification of stratification change has been limited to simple differencing of surface and 200-m depth changes and has neglected the spatial complexity of ocean density change. Here, we quantify changes in ocean stratification down to depths of 2,000 m using the squared buoyancy frequency N2 and newly available ocean temperature/salinity observations. We find that stratification globally has increased by a substantial 5.3% [5.0%, 5.8%] in recent decades (1960–2018) (the confidence interval is 5–95%); a rate of 0.90% per decade. Most of the increase (~71%) occurred in the upper 200 m of the ocean and resulted largely (>90%) from temperature changes, although salinity changes play an important role locally.Seawater properties—temperature, salinity and density—cause stratification of the water column, limiting vertical exchange. Considering down to 2,000 m, ocean stratification is shown to have increased ~5.3% since 1960, with ~71% of the change occurring in the upper 200 m primarily from warming.
Coding all-in-one
\"Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it's applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer--Dummies makes it easy.\" -- Description provided by publisher.
Improved Estimates of Changes in Upper Ocean Salinity and the Hydrological Cycle
Ocean salinity records the hydrological cycle and its changes, but data scarcity and the large changes in sampling make the reconstructions of long-term salinity changes challenging. Here, we present a new observational estimate of changes in ocean salinity since 1960 from the surface to 2000 m. We overcome some of the inconsistencies present in existing salinity reconstructions by using an interpolation technique that uses information on the spatiotemporal covariability of salinity taken from model simulations. The interpolation technique is comprehensively evaluated using recent Argo-dominated observations through subsample tests. The new product strengthens previous findings that ocean surface and subsurface salinity contrasts have increased (i.e., the existing salinity pattern has amplified). We quantify this contrast by assessing the difference between the salinity in regions of high and low salinity averaged over the top 2000 m, a metric we refer to as SC2000. The increase in SC2000 is highly distinguishable from the sampling error and less affected by interannual variability and sampling error than if this metric was computed just for the surface. SC2000 increased by 1.9% ± 0.6% from 1960 to 1990 and by 3.3% ± 0.4% from 1991 to 2017 (5.2% ± 0.4% for 1960–2017), indicating an acceleration of the pattern amplification in recent decades. Combining this estimate with model simulations, we show that the change in SC2000 since 1960 emerges clearly as an anthropogenic signal from the natural variability. Based on the salinity-contrast metrics and model simulations, we find a water cycle amplification of 2.6% ± 4.4% K−1 since 1960, with the larger error than salinity metric mainly being due to model uncertainty.
How fast are the oceans warming?
Observational records of ocean heat content show that ocean warming is accelerating Climate change from human activities mainly results from the energy imbalance in Earth's climate system caused by rising concentrations of heat-trapping gases. About 93% of the energy imbalance accumulates in the ocean as increased ocean heat content (OHC). The ocean record of this imbalance is much less affected by internal variability and is thus better suited for detecting and attributing human influences ( 1 ) than more commonly used surface temperature records. Recent observation-based estimates show rapid warming of Earth's oceans over the past few decades (see the figure) ( 1 , 2 ). This warming has contributed to increases in rainfall intensity, rising sea levels, the destruction of coral reefs, declining ocean oxygen levels, and declines in ice sheets; glaciers; and ice caps in the polar regions ( 3 , 4 ). Recent estimates of observed warming resemble those seen in models, indicating that models reliably project changes in OHC.
Halide perovskite memristors as flexible and reconfigurable physical unclonable functions
Physical Unclonable Functions (PUFs) address the inherent limitations of conventional hardware security solutions in edge-computing devices. Despite impressive demonstrations with silicon circuits and crossbars of oxide memristors, realizing efficient roots of trust for resource-constrained hardware remains a significant challenge. Hybrid organic electronic materials with a rich reservoir of exotic switching physics offer an attractive, inexpensive alternative to design efficient cryptographic hardware, but have not been investigated till date. Here, we report a breakthrough security primitive exploiting the switching physics of one dimensional halide perovskite memristors as excellent sources of entropy for secure key generation and device authentication. Measurements of a prototypical 1 kb propyl pyridinium lead iodide (PrPyr[PbI 3 ]) weak memristor PUF with a differential write-back strategy reveals near ideal uniformity, uniqueness and reliability without additional area and power overheads. Cycle-to-cycle write variability enables reconfigurability, while in-memory computing empowers a strong recurrent PUF construction to thwart machine learning attacks. Despite the impressive demonstrations with silicon and oxide memristors, realizing efficient roots of trust for resource-constrained hardware remains a challenge. Here, the authors exploit switching behavior in one dimensional perovskite memristors to design security primitives for key generation and device authentication.
Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing
Many in-memory computing frameworks demand electronic devices with specific switching characteristics to achieve the desired level of computational complexity. Existing memristive devices cannot be reconfigured to meet the diverse volatile and non-volatile switching requirements, and hence rely on tailored material designs specific to the targeted application, limiting their universality. “Reconfigurable memristors” that combine both ionic diffusive and drift mechanisms could address these limitations, but they remain elusive. Here we present a reconfigurable halide perovskite nanocrystal memristor that achieves on-demand switching between diffusive/volatile and drift/non-volatile modes by controllable electrochemical reactions. Judicious selection of the perovskite nanocrystals and organic capping ligands enable state-of-the-art endurance performances in both modes – volatile (2 × 10 6 cycles) and non-volatile (5.6 × 10 3 cycles). We demonstrate the relevance of such proof-of-concept perovskite devices on a benchmark reservoir network with volatile recurrent and non-volatile readout layers based on 19,900 measurements across 25 dynamically-configured devices. Existing memristors cannot be reconfigured to meet the diverse switching requirements of various computing frameworks, limiting their universality. Here, the authors present a nanocrystal memristor that can be reconfigured on-demand to address these limitations