How to develop best practices for outsourcing for Entrepreneurial companies

This study explores the best practices that could be used for outsourcing for Entrepreneurial and startup companie

Localization of Deformed Wing Virus (DWV) in the Brains of Apis mellifera (European Honey Bees)

The purpose of the current research project is to design a successful in-situ hybridization to identify regions within the brains of honeybees where DWV replicates. The localization of the virus in the brains of the bees can draw a connection between CCDand DWV.In conclusion, these results demonstrate that in bees infected with DWV the virus replicates actively in very important regions of the brain, including neuropils that are responsible for vision and olfaction. This means that the virus could adversely affect the vision and olfaction of the honeybees making it difficult for bees to behave normally

Classifying Illegal Advertisements on the Darknet Using NLP

The Darknet has become a place to conduct various illegal activities like child labor, contract murder, drug selling while staying anonymous. Traditionally, international and government agencies try to control these activities, but most of those actions are manual and time-consuming. Recently, various researchers developed Machine Learning (ML) approaches trying to aid in the process of detecting illegal activities. The above problem can benefit by using different Natural Language Processing (NLP) techniques. More specifically, researchers have used various classical topic modeling techniques like bag of words, N-grams, Term Frequency, Term Frequency Inverse Document Frequency (TF-IDF) to represent features and train machine learning models. Moreover, researchers have used an imbalanced dataset to perform those experiments. In this work, we use some more modern techniques like Doc2Vec, Bidirectional Encoder Representation From Transformers (BERT) that have not been studied yet. The primary problem of this project is to classify illegal advertisements published on the Darknet by exploring the above-mentioned state of the art and comparing them against known approaches that use classical techniques, like TF-IDF. Also, we use various data balancing techniques and perform experiments using that data on classical techniques like TF-IDF

The Unsteady Lift Produced by a Flat-Plate Wing Translating Past Finite Obstacles

The unsteady lift of a high-angle-of-attack, flat-plate wing encountering finite-length obstacles is studied using towing-tank force measurements. The wing translates from rest and interacts with a rectangular channel, ceiling, or ground obstacle. Variations with angle of attack, obstacle length, mid-chord height to the obstacle, and starting distance between the wing leading edge (LE) and obstacle (typically 1 chord) are examined. For channels, as the gap height decreases, circulatory-lift peaks attributed to leading-edge vortices (LEVs) are the largest, and from the second peak onward occur earliest. This is likely from wing blockage enhancing the flow speed. The lift reduces while exiting a channel, and is lowest afterward if exiting during a lift peak. For ceilings, the first circulatory-lift maximum increases for smaller LE-to-ceiling gaps, but for gaps of 0.5 chords or less, subsequent peaks are below the no-obstacle case yet still earlier. For grounds, with lower wing height the first circulatory-lift peak is larger but the second peak's behavior varies with angle of attack, and the lift decreases near the ground end. Grounds affect peak timing the least, indicating a reduced influence on the LEV. Changing the starting distance to a channel alters the lift, likely from different LEV timing

Failure of Ultra-High Molecular Weight Polyethylene Yarns (UHMPWE) Under Transverse Loading Using Different Indenter Geometries

Ultra-high molecular weight polyethylene (UHMWPE) Dyneema® SK-76 fibers are widely used in personnel protection systems. Transverse ballistic impact onto these fibers results in complex multiaxial deformation modes such as axial tension, axial compression, transverse compression, and transverse shear. Previous impact studies on high performance yarns and quasi-static transverse loading of single fibers using different indenter geometries show premature failure of yarns and single fiber caused by the degradation of tensile failure strain due to the presence of such multi-axial deformation modes. However, there is a dearth of failure criterion in the literature for ballistic applications that considers the contribution of multi-axial stress or strains induced by transverse impact. This work lays the foundation towards developing a multi-axial failure criterion that can better predict ballistic performance of a material. Quasi-static transverse loading experiments are conducted on Dyneema® SK-76 single yarn at different starting angles (5°,10°,15°, and 25°) and using four different indenter geometries: round (radius of curvature (ROC) = 3.8 mm), intermediate (ROC = 0.2 mm), sharp (ROC = 0.02 mm) and razor blade (ROC = 0.002 mm). Experimental results show that for round and intermediate indenter, the yarn fails mainly in tension whereas for sharp indenter and razor blade the yarns fails via cutting or transverse shear and in a progressive manner. There is a significant degradation in the tensile failure strain for sharp indenter (0.73%) and razor blade (0.6-0.7%) compared to uniaxial tension (3.1%). However, the failure strain is approximately constant for all the angles considered. 3D finite element models are developed to investigate the degree of multi-axial loading and strain concentration developed in the yarn due to transverse loading by round projectile and sharp indenter. Finite element results for yarn loaded by sharp indenter show that transverse shear strains are dominant in the yarn-projectile contact zone and may significantly contribute towards the failure of the yarn

Evaluation of efficacy of submucosal tramadol after mandibular third molar surgery: a prospective pilot study

Background: Surgical extraction of mandibular third molar is one of the most commonly performed procedure in oral and maxillofacial surgery. Its removal causes swelling, trismus, and moderate to severe pain which can be treated with various NSAID’s drugs, which have numerous side effects and gastric disturbances. In order to bypass such disturbances, Tramadol may be considered as an alternative for such patients. The aim of the study was to evaluate analgesic efficacy of submucosal tramadol and its implication over swelling and mouth opening after mandibular third molar surgery.Methods: This is a prospective study where in after post-surgical extraction of mandibular third molar, efficacy of submucosal injection of tramadol is evaluated in terms of pain and its implication over swelling and mouth opening.Results: The present study suggested there was statistically significant VAS score for pain after submucosally injecting tramadol post-surgical extraction of mandibular third molar in the following visits- 4hourly, 8hourly and 24hourly. In respect to swelling, statistically significant values was noted during 24hr and 72 h our post extraction. Also in case of mouth opening, statistically significant values were found 24 hourly.Conclusions: The present pilot study concluded that submucosal tramadol post mandibular third molar extraction has been effective in reducing pain, limiting post-extraction swelling and less impacting mouth opening by inducing less complications thereby bypassing gastric disturbances

THE DETERMINANTS, SIGNIFICANCE AND IMPACT OF FOREIGN INSTITUTIONAL INVESTMENTS: AN INDIAN STANDPOINT

Ever since policymakers implemented the decision to liberalize India’s economy, allowing foreign investors to purchase assets in the Indian capital markets, India has been attracting investors globally to invest in its growth story. Since this liberalization in 1991, India has gone on to become to become an international hotspot for foreign investment , with the Indian economy going on to become the most rapidly growing economy, second only to China. Foreign Institutional Investors have played their part in boosting this economic growth by helping to finance it, and influencing the modernization and discipline of the India’s capital markets. The present study identifies the determinants of these FII Investments and analyses the impact of these determinants on FII net investments made on the National Stock Exchange of India (NSE). The interest of this research is to test the significance of determinants like predictable and unpredictable risks, returns and inflation to investments made by FII’s over a period of 2001 to mid 2009. For this purpose, the researcher makes use of a theoretical model with combined properties of Uncovered Interest Parity (UIP) and Purchasing Power Parity (PPP), Threshold (ARCH) and the ARMA model, and applies the same to the data. This study also highlights the impacts Foreign Institutional Investors have had on the Indian markets ever since liberalization. It has been found that FII’s bear little caution to predictable risks in India, and have continued to chase returns even in times of high levels of predicted volatility. It has also been found that equity returns in India are more of a cause of FII investments rather than being the effect. Factors such as predictable risks in global markets, and inflation levels in India significantly impact these flows. Many other factors affecting the inflow of these investments have been identified in this study such as the exchange rate, stock liquidity, ownership indicators, interest rate yields etc. Given the sizeable volume of these inflows, understanding their behavior and determinants is crucial at a time when the nation is liberalizing its capital account. It has also been found that the impact the foreign investors have had on stock market volatilit