Study of machine learning algorithms for potential stock trading strategy frameworks

Purpose: This paper discusses major stock market trends and provides information on stock market forecasting. Stock market forecasting is essentially an attempt to forecast the future value of the stock market. Doing this manually can be a strenuous task, and thus we need some software and algorithms to make our task easier. This paper also lists a few of those algorithms, formulas, and calculations associated with them. These algorithms and models primarily revolve around the concept of Machine Learning (ML) and Deep Learning. Research Methodology: This study is based on descriptive, quantitative, and cross-sectional research design. We used a multivariate algorithm model and indicators to examine stocks for investing or trading and their efficiency. It concludes with the recommendations for enhancing trading strategies using machine learning algorithms. Results: This study suggests that after comparing and combining the various algorithms using experimental analysis, the random forest algorithm is the most suitable algorithm for forecasting a stock's market prices based on various data points from historical data. Limitations: The applicability of the study was only hampered by unforeseeable tragic events such as economic crisis, market collapse, etc Contribution: Successful stock prediction will be a substantial benefit for stock market institutions and provide real-world answers to the challenges that stock investors face. As a result, gaining significant knowledge on the subject is quite beneficial for us

Implant Prophylaxis: The Next Best Practice Toward Asepsis in Spine Surgery.

Study designA literature review.ObjectivesAn evaluation of the contaminants prevalent on implants used for surgery and the aseptic methods being employed against them.MethodsPubMed was searched for articles published between 2000 and 2017 for studies evaluating the contaminants present on spine implants, and associated pre- and intraoperative implant processing and handling methodology suggested to avoid them. Systematic reviews, observational studies, bench-top studies, and expert opinions were included.ResultsEleven studies were identified whose major focus was the asepsis of implants to reduce the incidence of surgical site infection incidences during surgery. These studies measured the colony forming units of bacteria on sterilized implants and/or gloves from the surgeon, scrub nurse, and assistants, as well as reductions of surgical site infection rates in spine surgery due to changes in implant handling techniques. Additionally, the search included assessments of endotoxins and carbohydrates present on reprocessed implants. The suggested changes to surgical practice based on these studies included handling implants with only fresh gloves, keeping implants covered until the immediate time of use, reducing operating room traffic, avoiding reprocessing of implants (ie, providing terminally sterilized implants), and avoiding touching the implants altogether.ConclusionsBoth reprocessing (preoperative) and handling (intraoperative) of implants seem to lead to contamination of sterilized implants. Using a terminally sterilized device may mitigate reprocessing (preoperative implant prophylaxis), whereas the use of fresh gloves for handling each implant and/or a permanent shielding technique (intraoperative implant prophylaxis) could potentially avoid recontamination at the theatre

NSP-SCD: a corpus construction protocol for child-directed print in understudied languages

Child-directed print corpora enable systematic psycholinguistic investigations, but this research infrastructure is not available in many understudied languages. Moreover, researchers of understudied languages are dependent on manual tagging because precise automatized parsers are not yet available. One plausible way forward is to limit the intensive work to a small-sized corpus. However, with little systematic enquiry about approaches to corpus construction, it is unclear how robust a small corpus can be made. The current study examines the potential of a non-sequential sampling protocol for small corpus development (NSP-SCD) through a cross-corpora and within-corpus analysis. A corpus comprising 17,584 words was developed by applying the protocol to a larger corpus of 150,595 words from children’s books for 3-to-10-year-olds. While the larger corpus will by definition have more instances of unique words and unique orthographic units, still, the selectively sampled small corpus approximated the larger corpus for lexical and orthographic diversity and was equivalent for orthographic representation and word length. Psycholinguistic complexity increased by book level and varied by parts of speech. Finally, in a robustness check of lexical diversity, the non-sequentially sampled small corpus was more efficient compared to a same-sized corpus constructed by simply using all sentences from a few books (402 books vs. seven books). If a small corpus must be used then non-sequential sampling from books stratified by book level makes the corpus statistics better approximate what is found in larger corpora. Overall, the protocol shows promise as a tool to advance the science of child language acquisition in understudied languages

Design and Fabrication of a Li-Ion Battery Electrode Coating Fixture

ME450 Capstone Design and Manufacturing Experience: Winter 2015The goal of this project is to design and fabricate a loading station for users to load very thin metal foils into a Lithium Ion Battery electrode coating machine without wrinkling or otherwise damaging the material. The final design has to be compatible with the existing fixtures on the coating machine while still preventing the foils from shifting during the loading process.http://deepblue.lib.umich.edu/bitstream/2027.42/111316/1/19_Report.pd

2017: Park2Vec: A Vector Representation of Our National Parks’ Climate Change Susceptibility

With over 400 units, between them covering almost 850 million acres of carefully preserved land, the National Park Service (NPS) acts as steward to the nation’s natural treasures. In the move to the Twenty-First century, the NPS faces numerous looming challenges, particularly those related to a rapidly changing climate. It was our task to strategize with the Service in addressing three such issues, leveraging our experience in mathematical modelling and data analysis to aid them in the quest to protect and to preserve. The first problem under consideration was determining the risk associated with sea-level change for five different coastal locations. Risk was categorized as being “low,” “medium,” and “high” over a period of 10, 20, and 50 years. The lines between the three intensities were determined by the intermediate-low and intermediate-high predictions of global sea-level rise, as given by the National Oceanic and Atmospheric Administration (NOAA). For example, if a location’s predicted rise in sea-level fell below the intermediate-low prediction for the rise in global sea-levels, it was deemed a “low” risk. If it fell in the middle, a “medium” risk. And above the intermediate-high line, a “high risk.” Together with other considerations like the elevation of a park, the final valuations are presented on page 8. Given the nature of the model and the inherent unpredictability of climatology, the model cannot be extrapolated to 100 years, but works fairly well in the given time frame. The next challenge involved assigning climate vulnerability scores to coastal locations based on the susceptibility of each location to natural disasters. Such scores were determined as a product of the severity of a particular disaster with its frequency. By plumbing datasets provided, vulnerability scores for each of the five locations under analysis were determined and are presented on page 13. The final task sought to determine where the NPS’s financial resources should go based on the value of each park. By leveraging the vector-like nature of the vulnerability scores along with the popularity of each location and sea-level rise considerations, a graphical model was generated grouping parks of higher and lower values together in a distinguishable manner, as presented on page 16. From this graphic, our final recommendation to the NPS would be, in times of tight revenues, to fund Olympic National Park, consider funding Acadia and Kenai Fjords, and avoid funding the seashore locations

Finite Element Analysis Comparing a PEEK Posterior Fixation Device Versus Pedicle Screws for Lumbar Fusion

BACKGROUND: Pedicle screw loosening and breakage are common causes of revision surgery after lumbar fusion. Thus, there remains a continued need for supplemental fixation options that offer immediate stability without the associated failure modes. This finite element analysis compared the biomechanical properties of a novel cortico-pedicular posterior fixation (CPPF) device with those of a conventional pedicle screw system (PSS). METHODS: The CPPF device is a polyetheretherketone strap providing circumferential cortical fixation for lumbar fusion procedures via an arcuate tunnel. Using a validated finite element model, we compared the stability and load transfer characteristics of CPPF to intact conditions under a 415 N follower load and PSS conditions under a 222 N preload. Depending on the instrumented levels, two different interbody devices were used: a lateral lumbar interbody device at L4-5 or an anterior lumbar interbody device at L5-S1. Primary outcomes included range of motion of the functional spinal units and anterior load transfer, defined as the total load through the disk and interbody device after functional motion and follower load application. RESULTS: Across all combinations of interbody devices and lumbar levels evaluated, CPPF consistently demonstrated significant reductions in flexion (ranging from 90 to 98%), extension (ranging from 88 to 94%), lateral bending (ranging from 75 to 80%), and torsion (ranging from 77 to 86%) compared to the intact spine. Stability provided by the CPPF device was comparable to PSS in all simulations (range of motion within 0.5 degrees for flexion-extension, 0.6 degrees for lateral bending, and 0.5 degrees for torsion). The total anterior load transfer was higher with CPPF versus PSS, with differences across all tested conditions ranging from 128 to 258 N during flexion, 89-323 N during extension, 135-377 N during lateral bending, 95-258 N during torsion, and 82-250 N during standing. CONCLUSION: Under the modeled conditions, cortico-pedicular fixation for supplementing anterior or lateral interbody devices between L4 and S1 resulted in comparable stability based on range of motion measures and less anterior column stress shielding based on total anterior load transfer measures compared to PSS. Clinical studies are needed to confirm these finite element analysis findings

Macro and Micro Evidence: Labour Reforms Do Not Facilitate Growth in the Manufacturing Sector

Three Indian states (Uttar Pradesh, Madhya Pradesh and Gujarat) recently adopted new and significant labour reforms amidst the COVID-19 pandemic - supporting companies and businesses willing to more easily hire and fire employees in the hope that this will unshackle industries and attract investments. However, some economists and workers’ unions argue that these changes may affect labour markets, reduce productivity and even lead to anarchy. This article aims to explore whether labour reforms actually facilitate the growth of the manufacturing sector in India, and to achieve this through both macroeconomic and microeconomic analyses. We will review past labour reforms and their influence on the labour and manufacturing sectors, asking whether new measures could actually increase productivity - given that to a great extent they only formalise existing practices

Indian Urban Policy for Environmental Sustainability: The Role of Behavioural Economics

The adoption of practices such as washing hands for a minimum of 20 seconds, excessive and frequent sanitisation, maintaining physical distance, etc. has compelled us to change our behaviours and adapt to the crisis, even if reluctantly. Amidst this pandemic, the world continues to face an ongoing environmental crisis. We still have many and much urgent problems to counter which are related to our behaviour towards the environment. This article will review past influences of behavioural economics on policymaking and inquire as regards the ways in which behavioural economics can play a significant role in the future. Our goal is to design effective and efficient, behaviourally ‘guarded’ environmental policies