While the exact definition and implementation of accountability depend on the specific context, at its core accountability describes a mechanism that will make decisions transparent and often provides means to sanction "bad" decisions. As such, accountability is specifically relevant for Cyber-Physical Systems, such as robots or drones, that embed themselves into a human society, take decisions and might cause lasting harm. Without a notion of accountability, such systems could behave with impunity and would not fit into society. Despite its relevance, there is currently no agreement on its meaning and, more importantly, no way to express accountability properties for these systems. As a solution we propose to express the accountability properties of systems using Structural Causal Models. They can be represented as human-readable graphical models while also offering mathematical tools to analyze and reason over them. Our central contribution is to show how Structural Causal Models can be used to express and analyze the accountability properties of systems and that this approach allows us to identify accountability patterns. These accountability patterns can be catalogued and used to improve systems and their architectures.

Multi-view data capture permits free-viewpoint video (FVV) content creation. To this end, several users must capture video streams, calibrated in both time and pose, framing the same object/scene, from different viewpoints. New-generation network architectures (e.g. 5G) promise lower latency and larger bandwidth connections supported by powerful edge computing, properties that seem ideal for reliable FVV capture. We have explored this possibility, aiming to remove the need for bespoke synchronisation hardware when capturing a scene from multiple viewpoints, making it possible through off-the-shelf mobiles. We propose a novel and scalable data capture architecture that exploits edge resources to synchronise and harvest frame captures. We have designed an edge computing unit that supervises the relaying of timing triggers to and from multiple mobiles, in addition to synchronising frame harvesting. We empirically show the benefits of our edge computing unit by analysing latencies and show the quality of 3D reconstruction outputs against an alternative and popular centralised solution based on Unity3D.

Software development has been changing rapidly. This development process can be influenced through changing developer friendly approaches. We can save time consumption and accelerate the development process if we can automatically guide programmer during software development. There are some approaches that recommended relevant code snippets and APIitems to the developer. Some approaches apply general code, searching techniques and some approaches use an online based repository mining strategies. But it gets quite difficult to help programmers when they need particular type conversion problems. More specifically when they want to adapt existing interfaces according to their expectation. One of the familiar triumph to guide developers in such situation is adapting collections and arrays through automated adaptation of object ensembles. But how does it help to a novice developer in real time software development that is not explicitly specified? In this paper, we have developed a system that works as a plugin-tool integrated with a particular Data Mining Integrated environment (DMIE) to recommend relevant interface while they seek for a type conversion situation. We have a mined repository of respective adapter classes and related APIs from where developer, search their query and get their result using the relevant transformer classes. The system that recommends developers titled automated objective ensembles (AOE plugin).From the investigation as we have ever made, we can see that our approach much better than some of the existing approaches.

Monitoring users on large computing platforms such as high performance computing (HPC) and cloud computing systems is non-trivial. Utilities such as process viewers provide limited insight into what users are running, due to granularity limitation, and other sources of data, such as system call tracing, can impose significant operational overhead. However, despite technical and procedural measures, instances of users abusing valuable HPC resources for personal gains have been documented in the past cite{hpcbitmine}, and systems that are open to large numbers of loosely-verified users from around the world are at risk of abuse. In this paper, we show how electrical power consumption data from an HPC platform can be used to identify what programs are executed. The intuition is that during execution, programs exhibit various patterns of CPU and memory activity. These patterns are reflected in the power consumption of the system and can be used to identify programs running. We test our approach on an HPC rack at Lawrence Berkeley National Laboratory using a variety of scientific benchmarks. Among other interesting observations, our results show that by monitoring the power consumption of an HPC rack, it is possible to identify if particular programs are running with precision up to and recall of 95\% even in noisy scenarios.

This paper illustrates five different techniques to assess the distinctiveness of topics, key terms and features, speed of information dissemination, and network behaviors for Covid19 tweets. First, we use pattern matching and second, topic modeling through Latent Dirichlet Allocation (LDA) to generate twenty different topics that discuss case spread, healthcare workers, and personal protective equipment (PPE). One topic specific to U.S. cases would start to uptick immediately after live White House Coronavirus Task Force briefings, implying that many Twitter users are paying attention to government announcements. We contribute machine learning methods not previously reported in the Covid19 Twitter literature. This includes our third method, Uniform Manifold Approximation and Projection (UMAP), that identifies unique clustering-behavior of distinct topics to improve our understanding of important themes in the corpus and help assess the quality of generated topics. Fourth, we calculated retweeting times to understand how fast information about Covid19 propagates on Twitter. Our analysis indicates that the median retweeting time of Covid19 for a sample corpus in March 2020 was 2.87 hours, approximately 50 minutes faster than repostings from Chinese social media about H7N9 in March 2013. Lastly, we sought to understand retweet cascades, by visualizing the connections of users over time from fast to slow retweeting. As the time to retweet increases, the density of connections also increase where in our sample, we found distinct users dominating the attention of Covid19 retweeters. One of the simplest highlights of this analysis is that early-stage descriptive methods like regular expressions can successfully identify high-level themes which were consistently verified as important through every subsequent analysis.

Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by reverse transcriptase polymerase chain reaction (RT-PCR) is the gold standard of outpatient and inpatient detection of Covid-19. RT-PCR is a rapid method, however, its accuracy in detection is only ~70-75%. Another approved strategy is computed tomography (CT) imaging. CT imaging has a much higher sensitivity of ~80-98%, but similar accuracy of 70%. To enhance the accuracy of CT imaging detection, we developed an open-source set of algorithms called CovidCTNet that successfully differentiates Covid-19 from community-acquired pneumonia (CAP) and other lung diseases. CovidCTNet increases the accuracy of CT imaging detection to 90% compared to radiologists (70%). The model is designed to work with heterogeneous and small sample sizes independent of the CT imaging hardware. In order to facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and parametric details in an open-source format. Open-source sharing of our CovidCTNet enables developers to rapidly improve and optimize services, while preserving user privacy and data ownership.

In the "Moving Away From AWS and Onto Heroku" article, I provided an introduction of the application I wanted to migrate from Amazon's popular AWS solution to Heroku.  Subsequently, the "Destination Heroku" article illustrated the establishment of a new Heroku account and focused on introducing a Java API (written in Spring Boot) connecting to a ClearDB instance within this new platform-as-a-service (PaaS) ecosystem.  My primary goal is to find a solution that allows my limited time to be focused on providing business solutions instead of getting up to speed with DevOps processes.

Quick Recap

As a TL;DR (too long; didn't read) to the original article, I built an Angular client and a Java API for the small business owned by my mother-in-law.  After a year of running the application on Elastic Beanstalk and S3, I wanted to see if there was a better solution that would allow me to focus more on writing features and enhancements and not have to worry about learning, understanding, and executing DevOps-like aspects inherent within the AWS ecosystem.

Ask any working musician why they play live, why they lug their equipment to and from bars and restaurants and wine-tasting rooms week after week, and they'll point to the same nebulous thing: It's the connection with an audience.…

Disclosed is a method for producing graphene functionalized at its edge positions of graphite. Organic material having one or more functional groups is reacted with graphite in reaction medium comprising methanesulfonic acid and phosphorus pentoxide, or in reaction medium comprising trifluoromethanesulfonic acid, to produce graphene having organic material fuctionalized at edges. And then, high purity and large scaled graphene and film can be obtained by dispersing, centrifugal separating the functionalized graphene in a solvent and reducing, in particular heat treating the graphene. According to the present invention graphene can be produced inexpensively in a large amount with a minimum loss of graphite. (FIG. 1)

Provided are an anti-static and anti-microbial surface treatment agent including a quaternary ammonium salt compound as an active ingredient and a method of preventing a polymer fiber from developing static electricity by using the surface treatment agent. The quaternary ammonium salt compound has excellent anti-static and anti-microbial effects for the prevention or improvement of static electricity in a polymer fiber. Accordingly, the quaternary ammonium salt compound is suitable for use as a fabric softener, or an anti-static agent, and also, provides anti-microbial effects to a polymer fiber.

Processing metadata includes storing, in a data storage system, a specification for each of multiple sources, each specification including information identifying one or more data elements of the corresponding source; and processing, in a data processing system coupled to the data storage system, data elements from the sources, including generating a set of rules for each source based on a corresponding one of the stored specifications, and matching data elements of different sources and determining a quality metric characterizing a given match between a first data element of a first source and a second data element of a second source according to the set of rules generated for the first source and the set of rules generated for the second source.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

Embodiments of the invention provide systems and methods for analyzing sequential data. The sequential data can comprise a sequence of data points arranged in a particular order and thus representing a sequence. A number of such sequences can be analyzed, for example, to identify patterns or commonalities within the sequences or portions of sequences represented by the data. According to one embodiment, a method of identifying patterns in sequences of data points can comprise reading a set of sequential data. The sequential data can comprises a plurality of sequences and each of the plurality of sequences can represent an ordered sequence of tokens. A dotplot representing matches between each sequence of the plurality sequences can be generated. One or more patterns within the sequential data can then be identified based on the dotplot.

A method, system and computer program product for generating answers to questions. In one embodiment, the method comprises receiving an input query, decomposing the input query into a plurality of different subqueries, and conducting a search in one or more data sources to identify at least one candidate answer to each of the subqueries. A ranking function is applied to each of the candidate answers to determine a ranking for each of these candidate answers; and for each of the subqueries, one of the candidate answers to the subquery is selected based on this ranking. A logical synthesis component is applied to synthesize a candidate answer for the input query from the selected the candidate answers to the subqueries. In one embodiment, the procedure applied by the logical synthesis component to synthesize the candidate answer for the input query is determined from the input query.

Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

A computer implemented method for automatic chemical assay classification, the method comprising steps the computer is programmed to perform, the steps comprising: receiving a plurality of sets of parameters, each one of the received sets of parameters characterizing a respective assay of a chemical reaction, calculating a space enhancing proximity among points representative of assays of qualitatively identical chemical reactions, and representing each one of at least two of the received sets of parameters as a respective point in the calculated space, and dividing the points in the calculated space into a number of groups, according to proximity among the points in the calculated space, each group pertaining to a respective chemical reaction, thereby classifying the assays.

In one embodiment, a system includes a data collection system configured to collect a data from a control system by using an offline mode of operations. The system further includes a configuration management system configured to manage a hardware configuration and a software configuration for the control system based on the data. The system additionally includes a rule engine configured to use the data as input and to output a health assessment by using a rule database, and a report generator configured to provide a health assessment for the control system.

Embodiments are described for a system and method of providing a data miner that decouples the analytic flow solution components from the data source. An analytic-flow solution then couples with the target data source through a simple set of data source connector, table and transformation objects, to perform the requisite analytic flow function. As a result, the analytic-flow solution needs to be designed only once and can be re-used across multiple target data sources. The analytic flow can be modified and updated at one place and then deployed for use on various different target data sources.

A system and method is described for use with a data grid cluster, which uses cluster quorum to prevent split brain scenario. The data grid cluster includes a plurality of cluster nodes, each of which runs a cluster service. Each cluster service collects and maintains statistics regarding communication flow between its cluster node and the other cluster nodes in the data grid cluster. The statistics are used to determine a status associated with other cluster nodes in the data grid cluster whenever a disconnect event happens. The data grid cluster is associated with a quorum policy, which is defined in a cache configuration file, and which specifies a time period that a cluster node will wait before making a decision on whether or not to evict one or more cluster nodes from the data grid cluster.

Described herein are nitrated lipids and methods of making and using the nitrated lipids.

Methods and systems are provided that apply cavitation to a grain-based liquid medium processing stream of an oil separation process in order to achieve increased yields. Ultrasonic sources can be used in generating the cavitation. Typically, the oil processing system is a downstream process of an alcohol (such as ethanol) production facility utilizing a dry grind, a modified dry grind or a wet mill alcohol production process.

Described herein are dicarboxylate-capped estolide compound and methods of making the same. Exemplary dicarboxylate-capped estolide compounds include those of the formula x is, independently for each occurrence, an integer selected from 0 to 20; y is, independently for each occurrence, an integer selected from 0 to 20; W is, independently for each occurrence, selected from —CH2— and —CH═CH—; z is an integer selected from 1 to 40; n is an integer equal to or greater than 0; R5 is selected from hydrogen, optionally substituted alkyl that is saturated or unsaturated, and branched or unbranched, and an estolide residue; and R2 is selected from hydrogen and optionally substituted alkyl that is saturated or unsaturated, and branched or unbranched, wherein each fatty acid chain residue of said at least one compound is independently optionally substituted.

This invention relates to an improved process for the preparation of green fatty acid methyl esters (FAME; commonly called as biodiesel) from different triglyceride oils using mixed metal oxides derived from layered double hydroxides (referred here as LDHs) as reusable solid heterogeneous base catalysts. This process uses very low alcohohoil molar ratio and catalyst and/or products are easily separable after the reaction through simple physical processes. The properties of thus obtained biodiesel meet the standard biodiesel values and can directly be used as transport fuel.

A method for lowering content of a sterol in a highly unsaturated fatty acid-concentrated oil in a method to concentrate a highly unsaturated fatty acid by using a lipase reaction, may include removing the free form of the sterol from a raw material oil that includes a highly unsaturated fatty acid-containing glyceride prior to performing the lipase reaction; and thereafter concentrating the highly unsaturated fatty acid in the glyceride by using a lipase that is less reactive for the highly unsaturated fatty acid.

Disclosed is a process for reducing the amount of sterol in a sterol-containing microbial oil composition, including distilling, under short path distillation conditions, a sterol-containing microbial oil wherein said distillation produces a distillate fraction containing the sterol and a triacylglycerol-containing fraction having a reduced amount of the sterol when compared to the amount of sterol in the sterol-containing microbial oil composition that has not been subjected to short path distillation.

A composite sheet of the present invention comprises an oxetane-epoxy-based compound, represented by chemical formula 1, as a binder.

The present invention has an object to provide an ink for inkjet textile printing which has excellent fastnesses and causes less bleeding on a textile and to provide a low cost method for inkjet textile printing by using said ink; and relates to an ink for inkjet textile printing wherein the ink contains at least one kind disperse dye, a dispersing agent, water and at least one kind (referred to as A compound) of the compounds represented by the following formula (1): (wherein, n is an integer number of 1 to 12) and at least one kind compound (referred to as B' compound) selected from the group consisting of alkanediols having 3 to 5 carbon atoms and polypropylene glycols, as organic solvents, the total content of A compound and B' compound is 12 to 50% by weight based on the total amount of the ink, and the ratio by weight of A compound to B' compound is in the range of 5:1 to 0.7:1.

The present invention is directed at a binder for a battery electrode comprising an ethylene oxide-containing copolymer including a first monomer of ethylene oxide (EO) and at least one additional monomer selected from an alkylene-oxide that is different from the first monomer of EO, an alkyl glycidyl ether, or a combination thereof; wherein the ethylene oxide-containing copolymer has a weight average molecular weight less than about 200,000 g/mole (e.g., from about 10,000 to about 100,000), the molar fraction of the first monomer of EO (XEo) in the ethylene oxide-containing copolymer is greater than 0.80 (e.g., from about 0.80 to about 0.995), and the ethylene oxide-containing copolymer has a peak melting temperature (Tp), in ° C., for a selected XEO in the range of about 0.80 to about 0.995, which is below a maximum value of Tpmax, at the selected XEO, which is calculated using the equation Tpmax=(60−150 (1−XEO)).

Disclosed are a ferrocene-containing conductive polymer, an organic memory device using the conductive polymer and a method for fabricating the organic memory device. The conductive polymer may include a fluorenyl repeating unit, a thienyl repeating unit and a diarylferrocenyl repeating unit. The organic memory device may possess the advantages of rapid switching time, decreased operating voltage, decreased fabrication costs and increased reliability. Based on these advantages, the organic memory device may be used as a highly integrated, large-capacity memory device.

A flame retardant suitable for manufacturing a polymer composition is provided. The polymer composition is used for forming a cured film in which a balance among flame retardancy, adhesion, chemical resistance, heat resistance, and elasticity, and so on, is provided. A flame-retardant polymer composition with an excellent balance among the above properties is also provided. The flame retardant of the invention has a structure of Formula (1), (2), or (3): (in which, R1 is hydrogen or methyl, R2 is C2-20 alkylene or C2-20 alkylene in which any —CH2— is replaced by —O—, R3 and R4 are C1-20 alkyl, phenyl, and phenyl substituted by C1-5 alkyl or phenyl, R3 and R4 may also be an integrally-formed cyclic group, and p and q are 0 or 1).

A dielectric ceramic material comprises a primary component of barium titanate (BaTiO3) and at least one additive component. The additive component has a mole percentage from 1% to 50% and is selected from the group consisting of lithium tantalite (LiTaO3), barium cerate (BaCeO3), sodium metaniobate (NaNbO3) and the combinations thereof.

Disclosed is a method for removing weakly basic nitrogen compounds from a hydrocarbon feed stream by contacting the hydrocarbon feed stream with a basic catalyst to convert a portion of the weakly basic nitrogen compounds to basic nitrogen compounds. The method also includes contacting the hydrocarbon feed stream with an acidic adsorbent to adsorb the basic nitrogen compounds from the stream. The hydrocarbon feed stream comprises an aromatic compound and a weakly basic nitrogen compound.

This invention relates to a method for increasing thermal stability of fuel, as well as in reducing nitrogen content and/or enhancing color quality of the fuel. According to the method, a fuel feedstock can be treated with a solid phosphoric acid catalyst under appropriate catalyst conditions, e.g., to increase the thermal stability of the fuel feedstock. Preferably, the fuel feedstock can be treated with the solid phosphoric acid catalyst at a ratio of catalyst mass within a contact zone to a mass flow rate of feedstock through the zone of at least about 18 minutes to increase the thermal stability of the fuel feedstock, along with reducing nitrogen content and/or enhancing color quality.

Disclosed is a method for removing weakly basic nitrogen compounds from a hydrocarbon feed stream by contacting the hydrocarbon feed stream with acidic clay to produce a hydrocarbon effluent stream having a lower weakly basic nitrogen compound content relative to the hydrocarbon feed stream. The hydrocarbon feed stream comprises an aromatic compound and a weakly basic nitrogen compound.

A nano-ionic memory device is provided. The memory device includes a substrate, a chemically inactive lower electrode provided on the substrate, a solid electrolyte layer provided on the lower electrode and including a silver (Ag)-doped telluride (Te)-based nano-material, and an oxidizable upper electrode provided on the electrolyte layer.

Disclosed are methods for producing rubber-containing bituminous mixtures by pressurizing mixtures of bituminous materials, crumb rubber, and one or more suspension agents with a gas, and then reducing the pressure, creating bubbles of the gas in the mixture. Also disclosed are methods of introducing gas into such mixture by rapid mixing. Mixtures produced by the disclosed methods, such as rubber-containing asphalt mixtures and paving compositions thereof, and their use are also disclosed.

Provided are a thermosetting adhesive composition excellent in storage stability, reliability, and low-temperature adhesion properties; and a curl-resistant heat-resistant film and a wiring film obtained using the composition. The thermosetting adhesive composition includes 100 parts by weight of a phenoxy resin having a bisphenol S skeleton in the structure thereof; 5 to 30 parts by weight of a maleimide compound containing a plurality of maleimide groups in the structure thereof; and 3 to 20 vol % of an inorganic needle-like filler. The heat resistant adhesive film is obtained by applying the thermosetting adhesive composition onto a polyimide film, followed by drying. The wiring film is obtained by placing a conductor wiring layer on the heat resistant adhesive film.

Methods and apparatus for output of high-bandwidth debug data/traces in electronic devices using embedded high-speed debug port(s). Debug data is received from multiple blocks and buffered in a buffer. The buffer's output is operatively coupled to one or more high-speed serial I/O interfaces via muxing logic during debug test operations. The buffered data is encoded as serialized data and sent over the one or more high-speed serial I/O interfaces to a logic device that receives serialized data and de-serializes it to generate parallel debug data that is provided to a debugger. The buffer may be configured as a bandwidth-adapting buffer that facilitates transfer of debug data that is received at a variable combined data rate outbound via the one or more high-speed serial I/O interfaces at a data rate corresponding to the bandwidth of the serial I/O interfaces.

A double data rate memory physical interface having self checking loopback logic on-chip is disclosed. Disposed on the chip is a first linear feedback shift register, which is capable of generating a set of test data values that comprise at least two data bits. Also disposed on the chip is a second linear feedback shift register. The second linear feedback shift register is capable of generating a set of expected data values that match the test data values. Further, an internal loopback error check element is disposed on the chip. The internal loopback error check element is used to compare the set of expected data values with the set of test data values.

Method and apparatus for managing data in a memory. In accordance with some embodiments, a first data object and an associated first ECC data set are generated and stored in a non-volatile (NV) main memory responsive to a first set of data blocks having a selected logical address. A second data object and an associated second ECC data set are generated responsive to receipt of a second set of data blocks having the selected logical address. The second data object and the second ECC data set are subsequently stored in the in the NV main memory responsive to a mismatch between the first ECC data set and the second ECC data set.

A logical operations functional block for an execution unit of a processor includes a first input data link for a first operand and a second input data link for a second operand. The execution unit includes a register connected to an error correction code detection unit. The logical operations functional block includes a look-up table configured to receive an error correction code syndrome from the error correction code detection unit. The logical operations functional block also includes a multiplexer configured to receive an output signal from the look-up table at a first input and the first operand at a second input, wherein an output of the multiplexer is coupled to the first input data link of a logical functional unit.

Embodiments of the present disclosure describe device, methods, computer-readable media and system configurations for decoding codewords using a side channel. In various embodiments, a memory controller may be configured to determine that m of n die of non-volatile memory (“NVM”) have failed iterative decoding. In various embodiments, the memory controller may be further configured to generate a side channel from n-m non-failed die and the m failed die other than a first failed die. In various embodiments, the memory controller may be further configured to reconstruct, using iterative decoding, a codeword stored on the first failed die of the m failed die based on the generated side channel and on soft input to an attempt to iteratively decode data stored on the first failed die. In various embodiments, the iterative decoding may include low-density parity-check decoding. Other embodiments may be described and/or claimed.

A packet transmission/reception apparatus and method is provided. The packet transmission method of the present invention includes acquiring a source payload including partial source symbols from a source block, generating a source packet including the source payload and an identifier (ID) of the source payload, generating a repair packet including a repair payload corresponding to the source payload and an ID of the repair payload, generating a Forward Error Correction (FEC) packet block including the source and repair packets, and transmitting the FEC packet block. The source payload ID includes a source payload sequence number incrementing by 1 per source packet. The packet transmission/reception method of the present invention is advantageous in improving error correction capability and network resource utilization efficiency.

A random number generation method and apparatus using a low-power microprocessor is provided. In the random number generation method, a low-power microprocessor determines whether external power is supplied to a random number generator. The low-power microprocessor updates an internal state of the random number generator based on a first scheme if it is determined that the external power is supplied to the random number generator. The low-power microprocessor updates the internal state of the random number generator based on a second scheme different from the first scheme if it is determined that the external power is not supplied to the random number generator.

The disclosure is related systems and methods for using operation durations of a data storage medium to generate random numbers. In one embodiment, a device may comprise a random number generator circuit configured to store a value representing a duration of an operation on the data storage medium, and generate a random number based on the value. Another embodiment may be a method comprising recording durations of access operations to a data storage medium, and generating a random number based on the durations.

A Montgomery inverse calculation device includes a plurality of registers each storing a value of a variable, a modulus register storing a modulus, a multiplier performing multiplication on the modulus. A comparator compares the value of the variable stored in each of the registers with an output value of the multiplier and generates a plurality of control signals. A plurality of shifters shifts bits of a value of a variable stored in a corresponding register among the registers in response to at least one first control signal, and a quotient generation block calculates a quotient of mod 2m with respect to values output from some of the shifters in response to a second control signal. A calculation block calculates an updated value of an output value of each of the shifters using the quotient in response to at least one third control signal.

The present invention provides a polymerization reactor for producing a super absorbent polymer comprising: a reaction unit; a monomer composition supply unit being connected to the reaction unit and supplying a monomer composition solution containing a monomer, a photoinitiator, and a solvent; an agitating shaft extended in the reaction unit from one end of the reaction unit connected to the monomer composition supply unit to the other end of the reaction unit; a plurality of agitating blades installed around the agitating shaft; and a light irradiation unit providing light to the monomer composition solution furnished from the monomer composition supply unit, and a method of producing super absorbent polymers by using the same.

A durable ambient light curable waterproof liquid rubber coating with volatile organic compound (VOC) content of less than 450 grams per liter made from ethylene propylene diene terpolymer (EPDM) in a solvent, a photoinitiator, an additive, pigments, and fillers, and a co-agent and a method for making the formulation, wherein the formulation is devoid of thermally activated accelerators.

A photocurable material for sealing including (A) an oligomer having a weight average molecular weight of 10,000 to 30,000 and having (meth)acryloyl group(s), (B) a (meth)acrylate monomer, (C) a polythiol compound, and optionally (D) a carbodiimide compound enables the provision of a sealing material that has high compression recovery performance, high tensile strength and excellent flexibility, can have low hardness if required, and therefore has excellent sealing properties including air-tightness performance and water-proof performance and undergoes the formation of little surface tacks and the like.

Provided are a storage device, controller, and method for using host transfer rates to select a recording medium transfer rate for transferring data to a recording medium. A host transfer rate of data with respect to a buffer is measured. Provided are a plurality of recording medium transfer rates at which data is transferred between the buffer and the recording medium. A determination is made of an amount of decrease in the host transfer rate. The recording medium transfer rate is selected based on the amount of decrease in the host transfer rate. A transfer rate at which the storage device transfers data is set to the selected recording medium transfer rate.