Understanding Biological Research Documents using a Neural Network

We as human beings are capable of working with patterns to learn and comprehend complex pieces of information, especially in text. Related concept help us in finding closest meaning to the unknown concept. Therefore encyclopedias as a form of ontologies are frequently used to research and explore concepts to find forward references. Our brain has a neural network for learning patterns and therefore we are motivated in creating an artificial neural network to learn similar patterns. Ontologies are a simple way of expressing concepts in a hierarchical manner. For analyzing text, ontologies help in defining surrounding context and can greatly reduce research time. However, there are several challenges in creating ontologies, such as understanding words from specialized domains that are not in the general vocabulary and defining a relation between entities. WordNet, Wikipedia(DBPedia), and ConceptNet are examples of relations derived from human curated, or semicurated, databases. The relations extracted in this manner are typically of high quality as they are collected through peerreviewed processes such as WordNet and Wikipedia or crowdsourced processes such as ConceptNet. Our goal for this project is to generalize the relations learned from semicurated databases to extract similar relations from a domain specific corpus, such as biological research publications. Our system will convert these relations into a graph with numerical attributes in order to understand domainspecific patterns. Next we generalize these patterns and apply them on a new corpus to generate annotations, which we’ll use to build ontologies. We then validate these new ontologies to domainspecific dictionaries to measure accuracy. The project will result in a service where given a research article, it will highlight important concepts and arrange them in a hierarchical order with crossreferences from the entire corpus. This will greatly reduce the research time as the system would proactively suggest meaning for the concepts in any article

Reducing battery usage in drones

Drones have a number of applications and can be very useful in many situations. However, usage of drones is constrained by limited battery capacity. This requires solutions to either increase the battery capacity of drones or reduce battery usage by drones. This disclosure provides strategies to reduce battery usage by drones, enabling drones to fly longer before requiring a recharge. Reduction in battery usage also reduces recharge cycles. Drone flight is optimized by using air draft maps. Further, battery efficient mechanisms are used to implement transfer of drone payloads. These strategies decrease the periods of time when a drone is unavailable

Selective activation of call ads based on advertiser availability

Some formats of online advertisements permit users to call the advertiser directly by clicking on the ad. Such ads can result in customer dissatisfaction when the advertiser is busy or unavailable to answer calls placed through the ad. The techniques described herein employ selective activation of call ads to improve the likelihood that calls made by customers to advertisers are answered. Contextual factors such as location, time, activity that an advertiser is engaged in, etc. for which an advertiser provides consent are utilized to predict advertiser availability. The techniques improve customer satisfaction and can reduce wasteful ad expenditure

Inter Process Communication and Prioritization to Enable Desktop Advertisement Mechanism

This research paper tries to bring in a new concept of desktop advertising mechanism by synchronization it with the running processes and the data on users’ side. The proposed approach shall be based on inter process communication interaction, scheduling, prioritization, desktop crawling and system calls. The running process status and data will be fetched by the proposed process, which will then seek relevant information with the remote ad server and display the advertisements fetched based on keywords on user side

Employee Relations: A Major Antecedent in Employee Satisfaction

Operations of all the organizations mainly comprise of service deliverance which in turn lie how the things are conducted or performed. The righteous act or effective performance in any operation can be achieved largely by the satisfied employees. Employees play the major role in all the sectors therefore it is of paramount importance to keep them satisfied with the working environment. There are several factors affecting the employees’ state of satisfaction; the chief one is Employee Relations. The paper analyses the role and effects of Employee Relations on Employee Satisfaction. The paper includes the recommendations for the betterment of Employees and their relations with the Management

Primary fallopian tube cancer in the setting of endometriosis

We report the first case of PFTC arising in the setting of pelvic endometriosis. A 45 year old nulliparous lady, menopausal lady presented with pelvic mass. She had history of pelvic endometriosis. MRI findings were suggestive of ovarian malignancy. Histological analysis of specimen obtained following staging laparotomy proved it to be a case of bilateral PFTC. She received 6 cycles of adjuvant chemotherapy. This case opens a new door to think or investigate if fallopian tube endometrioma behaves as a more aggressive premalignant lesion. This case also poses questions whether it is important to differentiate an endometrioma arising from the ovary to one which is arising from a fallopian tube. Once identified can fallopian tube endometrioma also be managed medically or should it be always removed surgically

Housing market forecasts via stock market indicators

Reliable forecasting of the housing market can provide salient insights into housing investments. Through the reinterpretation of housing data as candlesticks, we are able to utilize some of the most prominent technical indicators from the stock market to estimate future changes in the housing market. By providing an analysis of MACD, RSI, and Candlestick indicators (Bullish Engulfing, Bearish Engulfing, Hanging Man, and Hammer), we exhibit their statistical significance in making predictions for USA data sets (using Zillow Housing data), as well as for a stable housing market, a volatile housing market, and a saturated market by considering the data-sets of Germany, Japan, and Canada. Moreover, we show that bearish indicators have a much higher statistical significance then bullish indicators, and we further illustrate how in less stable or more populated countries, bearish trends are only slightly more statistically present compared to bullish trends. Finally, we show how the insights gained from our trend study can help consumers save significant amounts of money

Mast Cell Neural Interactions in Health and Disease

Mast cells (MCs) are located in the periphery as well as the central nervous system (CNS). Known for sterile inflammation, MCs play a critical role in neuroinflammation, which is facilitated by their close proximity to nerve fibers in the periphery and meninges of the spinal cord and the brain. Multifaceted activation of MCs releasing neuropeptides, cytokines and other mediators has direct effects on the neural system as well as neurovascular interactions. Emerging studies have identified the release of extracellular traps, a phenomenon traditionally meant to ensnare invading pathogens, as a cause of MC-induced neural injury. In this review article, we will discuss mechanisms of MC interaction with the nervous system through degranulation, de novo synthesis, extracellular vesicles (EVs), tunneling nanotubes, and extracellular traps with implications across a variety of pathological conditions

DISCRIMINATORY POTENTIAL OF BIPHASIC MEDIUM OVER COMPENDIAL AND BIORELEVANT MEDIUM FOR ASSESSMENT OF DISSOLUTION BEHAVIOR OF TABLETS CONTAINING MELOXICAM NANOPARTICLES

ABSTRACTObjective: Dissolution test serves as a quality control tool for assessment of drug release from dosage form as well as a research tool to optimize newformulations. The existing guidelines by FDA, EMA, ICH, USP, etc., describe specifications for the dissolution of immediate release as well as modifiedrelease oral dosage form. However, none of them have discussed about the discriminatory potential of the medium to differentiate release profile of twoor more products that are pharmaceutically equivalent. It is pertinent to add here that the pharmaceutical equivalents are not always bioequivalent.Hence, a discriminatory dissolution procedure is a must requirement to differentiate the release behavior of drug from a pharmaceutically equivalentproduct that contains different types and amount of excipient in the formulation. This also becomes more cumbersome when it is desirable forprediction of in vivo behavior of a drug when it is converted into a novel delivery system like nanoparticles. The reason could be the presence ofexcipients used to formulate drug nanoparticles into solid oral dosage form, may change the drug disintegration as well as dissolution behavior, whichultimately may lead to altered bioavailability.Methods: In this study, the nanoparticles of meloxicam were prepared using wet media milling and the milled samples were dried using spray drier.The dried nanoparticles were converted into tablet dosage form by varying the type of diluent. To one batch lactose was used and another one wascontaining dicalcium phosphate (DCP). The assessment of release of meloxicam from these two batches was evaluated in various dissolution media.Results: The study revealed that in all the cases the nanoparticulate tablets of Batch 1 have given increased dissolution profile as compared tomarketed formulation (Muvera), Batch 2 and controlled tablets of meloxicam. This proved that the excipients also play a major role in the releasebehavior of drug otherwise if it was not so, the nanoparticulate tablets of Batch 1 and Batch 2 would have given the same dissolution profile in all thetried media. Batch 1 containing lactose with a higher surface area provided more and rapid wetting of the drug by the dissolution media compared toBatch 2 that contained DCP as a major diluent.®Conclusion: Among all the dissolution media tried to evaluate the discriminatory power and simulation with a biorelevant medium, the biphasicmedium of pH 1.8, 4.8 and 6.8 has promised to simulate with biorelevant media. However, the medium of pH 6.8 has shown the best dissolution profile.Keywords: Solubility, Compendial media, Biphasic media, Dissolution, Meloxicam