Category Archives: Engineering

Does Spinal Muscle Antropy Disease Classified Using Machine Learning?

Machine Learning in medicineA genetic issue is an acquired issue brought about by at least one irregularities formed in the genome. Most inherited issue are generally uncommon and affect one individual in each various thousands or millions issue might be heritable, implying that they are affirmed down from the guardians’ qualities. Muscle decay is characterized as a decrease in the mass of the muscle; it very well may be a fragmented or complete slaughtering ceaselessly of muscle, and is most typically qualified when people endure passing impairing situation, for example, being compelled in development as well as controlled to bed as when hospitalized. Spinal solid decay is a hereditary issue described by shortcoming and squandering (decay) in muscles utilized for development (skeletal muscles). It is brought about by lost specific nerve cells, considered engine neurons that control muscle development. … They have massively powerless muscle tone (hypotonia) during childbirth. Spinal strong decay (SMA), which is brought about by inactivating changes in the endurance engine neuron 1 (SMN1) quality, is portrayed by loss of lower engine neurons in the spinal string. The quality encoding SMN is exceptionally saved in advancement, enabling the disease to be demonstrated in a scope of assortment. Muscle biopsy is a regularly requested logical system, utilized by clinicians who compute patients with feeble guide accepted toward be brought about by muscle affliction. This article surveys the signs for a muscle biopsy, and after that fills in as a bit by bit direct looking into the procedures of muscle gathering through to translating the biopsy report. The objective of this paper is to help the clinician in getting ready for a muscle biopsy strategy with the goal that they may maintain a strategic distance from general trap and discover ideal outcomes from this clearly treacherous method. We survey the fundamental anatomical structure of ordinary muscle to give a foundation to tolerating basic examples of pathologic change exploratory in muscle malady, and afterward present both normal and sickness explicit histopathology discoveries, concentrated for illustrative purposes on a select gathering of neuromuscular infections. This paper tends to the issue by planning it as multi classificatrion prepared with highlight vectors from the transformed quality sequences.The result of the prepared model reports that the expectation precision of 85%in multi-class SVM with RBF bit.

Pointer Networks: An Introduction

wallup.netPointer networks are a variation of the sequence-to-sequence model with attention. Instead of translating one sequence into another, they yield a succession of pointers to the elements of the input series. The most basic use of this is ordering the elements of a variable-length sequence or set.

Basic seq2seq is an LSTM encoder coupled with an LSTM decoder. It’s most often heard of in the context of machine translation: given a sentence in one language, the encoder turns it into a fixed-size representation. Decoder transforms this into a sentence again, possibly of different length than the source. For example, “como estas?” – two words – would be translated to “how are you?” – Three words.

The model gives better results when augmented with attention. Practically it means that the decoder can look back and forth over input. Specifically, it has access to encoder states from each step, not just the last one. Consider how it may help with Spanish, in which adjectives go before nouns: “neural network” becomes “red neuronal”.

In technical terms, attention (at least this particular kind, content-based attention) boils down to weighted averages. In short, a weighted average of encoder states becomes the decoder state. Attention is just the distribution of weights.

Here’s more on seq2seq and attention in Keras.

In pointer networks, attention is even simpler: instead of weighing input elements, it points at them probabilistically. In effect, you get a permutation of inputs. Refer to the paper for details and equations.

Note that one doesn’t need to use all the pointers. For example, given a piece of text, a network could mark an excerpt by pointing at two elements: where it starts, and where it ends.

Neuromorphic Computing: The Next Phase of Artificial Intelligence Technologies

6The arms race between competing artificial intelligence technologies will ultimately decide how we address our cyber security challenges.

The use of artificial intelligence and machine learning systems is increasing rapidly. ‘Machine learning’ describes systems that can learn the correct response simply by analysing lots of sample input data, without having to be explicitly programmed to perform specific tasks. Perhaps the most successful and widespread technique is the use of artificial neural networks (ANNs).

ANNs copy the manner in which that neurons work in organic frameworks, for example, the human cerebrum, making a system of interconnected counterfeit neurons. They have demonstrated to be compelling at various errands, particularly those including design acknowledgment, for example, PC vision, discourse acknowledgment or therapeutic determination from side effects or outputs.

The most-used tool in the cybercriminal’s toolbox is the DDoS, or distributed denial of service, which is little more than a data hosepipe being pointed at a particular server (or service). Now imagine this deluge scaled up and directed at entire corporations, countries or even continents. The only realistic way to defend against an automated attack is to use an automated defence, and that defence is AI.

For as long as couple of decades, neural systems have to a great extent been actualized in programming, working as a model, executed on universally useful processors. The product copies the manner in which that every individual neuron capacities, just as the interconnections between them that oversee their aggregate conduct. This is fine in the event that you need to run a huge scale neural preparing work on information that has been gathered and transferred to one of the real cloud stages or a datacentre brimming with servers, yet some certifiable applications call for handling to be taken care of at the purpose of activity, implying that it must be convenient, or possibly not require a rack loaded with servers to work.

Neuromorphic computing, which goes back to the roots of neural nets and tries to more closely simulate the way that biological neurons function, is a different approach to the problem? Existing neural nets have evolved into complex structures with many specialised layers that have developed beyond anything that exists in nature. However, the artificial neurons themselves typically have a constant value as output, which is a departure from what happens in the biological world; it is truly artificial.

Such neuromorphic processors could prompt another universe of cell phones and sensors ready to work wisely and autonomously, without requiring mains control or a system association with the cloud to give their computational abilities.

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Polymer Science Applications in Oil and Gas Industry

petrolPolymer chemists study large, complex molecules that are built up from many smaller units. They study how the monomers combine, and create useful materials with specific characteristics by manipulating the molecular structure of the monomers/polymers used, the composition of the monomer/polymer combinations, to a large extent, affect the properties of the final product by applying chemical and processing techniques.

Chemicals:

The chemical industry is crucial to modern world economies, and works to convert raw materials such as oil, natural gas, air, water, metals, and minerals into more than 80,000 different products. To make consumer products, as well as in the manufacturing, service, construction, agriculture, and other industries those base products are used. Majority of the chemical industry’s output is polymers and polymer-related, including elastomers, fibers, plastics, adhesives, coatings, and more. Rubber and plastic products, textiles, apparel, petroleum refining, pulp and paper, and primary metals are the major industries served.

Oil & Gas

The entire oil and gas industry chain, from upstream oil and gas production activities, to midstream, and finally downstream refinery production of fuels, uses the polymeric materials only. Solid-state polymers such as plastics, fibers, and elastomers for use in oil well sites and off-shore platforms, with applications including construction of structures such as pipelines, propellants in hydraulic fracturing, and as coatings. Polymeric additives are used in upstream oil production applications as well stimulants, drilling fluids, corrosion inhibitors, scaling inhibitors, and viscosity modifiers. They are even used as components of cements used in protecting casings down hole.

In downstream operations, polymeric additives are used to overcome operational issues in the refinery, distribution systems, and storage tanks and in different fuel transport and combustion applications. Finally to improve performance features. To resolve specific issues at a refinery, polymers may be used as stand-alone products, and combined with other products to create a multi-functional package for use in finished fuels for the automotive industry.  Some specific examples of polymeric additives used in downstream applications include synthetic base stocks for lubricants, pipeline drag reducers, cold flow improvers, demulsifiers, deposit control additives, dispersants, friction modifiers, corrosion inhibitors, antifoamants, and viscosity improvers.

Nanotechnology Strategy by developing Nanocrystalline Materials

cryDevelopment of nanocrystalline tungsten-25%Rhenium alloy reinforced with hafnium carbide is a challenging task as these alloys are difficult to synthesize by conventional methods. The problem of these difficult to alloy elements can be addressed by using a unique combination of mechanical alloying and Spark Plasma Sintering SPS techniques via powder metallurgy route.  Rhenium was added to lower ductile-to-brittle transition temperature and to increase recrystallization temperature of tungsten. SPS is rapid consolidating technique which prevents grain growth.

Basically, glycan beautifies all mammalian cell surfaces through glycosylation. Glycan is one of the most important post-modifications of proteins. Glycans on cell surfaces facilitate a wide variety of biological processes, including cell growth and differentiation, cell-cell communication, immune response, intracellular signalling events and host-pathogen interactions. High-performance optical sensors are very important for rapid, sensitive and precise detection of chemical and biological species for various fields, including biomedical diagnosis, drug screening, food safety, environmental protection etc.

To explore the novel kinds of sensors with low cost, portability, sufficient sensitivity, high specificity, excellent reproducibility, and multiplexing detection capability still remain in high demand. Therefore, a significant advancement of silicon nanotechnology, functional silicon nanomaterial/Nano hybrids (e.g., fluorescent silicon nanoparticles, gold/silver nanoparticles-decorated silicon nanowires or silicon wafer, etc) featuring unique optical properties have been intensively employed for the design of high-quality fluorescent and surface-enhanced Raman scattering (SERS) biosensors. Therefore, currently exists increasing concerns on the development of a kind of high-performance SERS platform, which is suitable for glycan expression of different cell lines and as well as used for the sensitive detection of glycans on live cells. Herein, we introduce the possibility of silicon-based probe for biomolecules of interest in the vicinity of cells using SERS.

These tool materials can withstand high temperatures and harsh conditions in joining application such as Friction Stir Welding FSW of steel and titanium alloys. FSW is a green process which does not emit fume and toxic fumes during the process.  Sintering was carried between 1500-1800oC. Mechanically alloyed and Spark Plasma Sintered alloy and composite were characterized by optical microscopy. Spark plasma sintered samples were further electrochemically etched in one molar concentrated solution of NaOH. The results of the FESEM images confirm microstructural revelation of these difficult to etch alloy and composites. Field Emission Scanning Electron Microscopy FESEM and X-ray Diffraction.  Microstructural investigation of consolidated specimens was initially carried out by conventional etching and metallography techniques. Optical micrographs showed no visible signs of grain boundary etching.

Innovations in Exploration, Mining, and Processing

PetrolThe three major components of mining (exploration, mining, and processing) overlap sometimes. After a mineral deposit has been identified through exploration, the industry must make a considerable investment in mine development before production starts. Farther exploration near the deposit and more development drilling within the deposit are done while the mining is processing. In-situ mining, which is a special case that combines aspects of mining and processing but does not require the excavation, comminution, and waste disposal steps. Innovatively combined the main components, such as when in-situ leaching of copper is undertaken after conventional mining has rubblized ore in underground block-caving operations.

Exploration:

Mineral exploration has been driven mostly by Modern technology. Many mineral discoveries can be attributed to geophysical and geo-chemical technologies developed by both industry and government. New technology, such as tomographic imaging is newly applied to mineral exploration. Basic geological sciences, geophysical and geo-chemical methods, and drilling technologies Research could improve the effectiveness and productiveness of mineral exploration. These fields sometimes overlap, and developments in one area are likely to cross-fertilize research and development in other areas.

Geological Methods:

Underlying physical and chemical processes of formation are common to many metallic and non-metallic ore deposits. A geologic database would be beneficial not only to the mining industry but also to environmental scientists.

Most of the metallic ore deposits are formed through the interaction of an aqueous fluid and host rocks. Along the fluid flow pathway through the Earth’s crust, the fluids encounter changes in physical or chemical conditions at some point. That causes the dissolved metals to precipitate. In research on ore deposits, the focus has traditionally been on the location of metal depositions, i.e., the ore deposit itself.

Geochemical and Geophysical Methods:

Analyzing the soil, rock, water, vegetation, and vapor the Surface geo-chemical prospecting is involved. For example mercury and hydrocarbons in soil gas, for trace amounts of metals or other elements that may indicate the presence of a buried ore deposit.

In the discovery of numerous mineral deposits, geo-chemical techniques have played a key role, and they continue to be a standard method of exploration.

Novel aspects of Nanotubes

5A nanotube is a tubular particle made out of an extensive number of carbon atoms. Nanotubes having wide range of application in various fields such as Photovoltaic cells, targeted drug delivery, automobile industries, aerospace so on.

Now as per the recent studies, Researchers state that the weak van der Waals forces between the inner surface of the nanotube and the water molecules are strong enough to snap the oxygen and hydrogen atoms into place.

In the case of a two-dimensional ice, the molecules freeze regardless of the temperature and research provides valuable insight on ways to leverage atomic interactions between nanotubes and water molecules to fabricate nanochannels and energy-storing nanocapacitors.

Scientists built molecular models of carbon and boron nitride nanotubes with adjustable widths. They found boron nitride is best at obliging the state of water when the nanotubes are 10.5 angstroms wide.

The scientists definitely realized that hydrogen particles in firmly bound water go up against intriguing basic properties. Ongoing tests likewise demonstrated solid confirmation for the arrangement of nanotube ice and incited the analysts to fabricate thickness utilitarian hypothesis models to dissect the powers dependable.

When the water molecules are about 3 angstroms were modeled, inside carbon and boron nitride nanotubes of various chiralities and between 8 and 12 angstroms in diameter. They found that nanotubes in the middle diameters had the most effect on the balance between sub-atomic collaborations and van der Waals pressure that incited the change from a square water tube to ice.

If the nanotube is too small and only fit one water molecule, then the water keeps its amorphous shape. Van der Waals force starts to push water molecules into designed square shapes at the range of about 8 angstroms. Research shows that strongest interactions were found in boron nitride nanotubes due to the particular polarization of their atoms.

The nanotube ice could find use in molecular machines or as nanoscale capillaries, or foster ways to deliver a few molecules of water or sequestered drugs to targeted cells, like a nanoscale syringe.

Revolutionary technique for the rapid on-site detection and quantification of petroleum hydrocarbons:

The technique implies that the presence of hydrocarbons would now be able to be evaluated basically by utilizing a hand-held infrared spectrometer to take readings at the site of enthusiasm, without the need to take tests or perform any sort of preparing.

The strategy could be utilized for oil exploration purposes. It will likewise be especially helpful in evaluating and observing contaminated sites, for example, coastal land following off-shore oil slicks and mechanical locales got ready for urban redevelopment. Oil hydrocarbons are a significant asset, however, can likewise be really frightful ecological contaminants. They can stay in the earth for expanded timeframes and can be destructive to wildlife, plants and people. Better apparatuses to distinguish them make a fast reaction conceivable.

Press Pictures: Copyright

The method utilizes an infrared signal to identify the presence of oil hydrocarbons in tests. By differentiating, current strategies utilize inspecting and handling procedures that are work escalated, tedious, require sensitive equipment and are not appropriate to nearby on-site analysis. The capacity of this new procedure to quickly distinguish the presence of contaminants at the site can possibly give significant cost points of interest, as far as reduced testing costs and the avoidance of delays.

Quick examination enables prompt measures to be embraced to anticipate facilitate tainting or to constrain contaminant spread. A huge part of the time and money related costs associated with evaluating and remediating contaminated sites is devoured by checking and analysis. By diminishing investigation time and decreasing costs this new method can aid the quick and compelling distinguishing proof of oil and other oil-based products in the earth, and additional treatment and insurance of ecological resources threatened by petroleum contamination.

Nanotubes can change the shape of water

Insert water in Nanotube hole then the water molecules will align into a square rod, If the nanotube is just the right width. By using molecular models it can be demonstrated that weak van der Waals forces between the inner surface of the nanotube and the water molecules are strong enough to snap the oxygen and hydrogen atoms into place.

According to Molecular models of nanotube ice, water molecules take the shape of a square tube because of the pressure of a carbon nanotube at left and a boron nitride nanotube at right. The phenomenon is dependent upon the diameter of the nanotube. It is also known as two-dimensional “ice,” because the molecules freeze regardless of the temperature. To fabricate nanochannels and energy-storing nano capacitors, the research provides valuable insight on ways to leverage atomic interactions between nanotubes and water molecules.

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Boron nitride is best at constraining the shape of water when the nanotubes are 10.5 angstroms wide. The researchers built molecular models of carbon and boron nitride nanotubes with adjustable widths. The hydrogen atoms in tightly confined water take on interesting structural properties. Recent experiments on labs showed and prompted the researchers to build density functional theory models to analyze the forces responsible.

Researchers made 3 angstroms wide water molecules inside carbon and boron nitride nanotubes of various chiralities and the diameter is between 8 and 12 angstroms. They discovered that nanotubes in the middle diameters had the most impact on the balance between molecular interactions and van der Waals pressure that prompted the transition from a square water tube to ice.

If the water molecule is too large as compared to nanotube, the water keeps its amorphous shape. The nanotubes’ van der Waals force starts to push water molecules into organized square shapes.” But at about 8 angstroms, due to the particular polarization of atoms, the strongest interactions were found in boron nitride nanotubes. Nanotube ice can be used in molecular machines or foster ways to deliver a few molecules of water to targeted cells, like a nanoscale syringe.

Overview of Data Mining Applications in Oil and Gas Exploration:

Oil and gas supply chain consists of four main phases: 1) Extraction and Exploration, 2) Refining, 3) Transportation, and 4) Distribution and Marketing. In the context of cost reduction, exploration is the act of minimizing the expenses associated with finding commercial oil and gas deposits. These expenses increases from the mentioned main elementary activities satellite Infrared /Radar/Microwave Surveying, Aerial Imaging, Geo Botany prospecting and Geochemical Exploration; Aerial magnetic, Electromagnetic & Gravity Surveying, Seismic Surveying and Exploratory wells.

The technology applied in oil and gas exploration is Data Mining that can create cost reductions and bring about considerable financial benefits. By applying the advanced techniques, such as pattern recognition, and particular identification to a more comprehensive set of data collected during seismic acquisition, Geologists may be able to identify potentially productive seismic trace signatures that have been overlooked in newly acquired or archived data. Application of data mining in oil and gas exploration is in the experimental stage with much of the efforts focused on data-intensive computing. Oil and Gas Companies, Business Analytics service providers and Academic institutions are working on various applications. The categories are: structural geology and reservoir property-issues.

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In oil and gas exploration process, Structural Geology is accurately surveying the top, bottom and lateral extent of geological structures is important as these structures might produce hydrocarbons. This locating, in presence of oil and gas, assists in determining the thickness of the hydrocarbon bearing (rock) layers and consequentially in deciding the economic viability of the reserve. Furthermore, using accurate mapping, by the optimal placement of the wells, production in multi-layered reservoirs, where shale and sand layers are laminated, can be carried out from and combined into a single well, and, therefore, result in cost savings.

Reservoir Property-Issues The earliest discoveries of oil and gas deposits were based on determining the structural traps. But now a different type of trap became important, that is stratigraphic traps. Stratigraphic traps are one must go beyond the structure and deduce possible lithology (identifying rock layers in the subsurface) and probable presence of oil and gas. Horizontal lithological analysis is known as lithofacies analysis.