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AI Tools for Literature Reviews
Get PDFWith the proliferation of AI tools, graduate students often ask themselves how these tools can be ethically used to bolster their research. ChatGPT has gained traction, but its utility is constrained by issues like outdated information, artificial hallucinations, and limited access to scholarly publications hidden behind a paywall. Fortunately, new AI tools have been developed that promote academic exploration and discovery, such as offering generative article summaries, citation chaining, and thematic literature mapping capabilities. This workshop will explore three AI tools—Perplexity, Research Rabbit, and Inciteful—designed to support the research and literature review process. This session will provide a demonstration showcasing their features, ethical usage examples, and guidance and strategies for evaluating AI tools for research in the future
Construction Site Planning and Logistical Operations: Site-Focused Management for Builders, Second Edition
Get PDFOrganizing and administering a construction site so that the right resources get to the right place in a timely fashion demands strong leadership and a well-defined, disciplined process. Good logistical operations enable profitability, and this book is the essential, muddy boots guide to such management. Written by experienced educator–practitioners, Construction Site Planning and Logistical Operations is a popular guide to the knowledge, skills, and abilities needed by project superintendents, especially, but useful to all constructors. This second edition is updated to include new technologies, resources, and details of operational planning. Leadership imperatives and management techniques remain integrated throughout. The book follows site-related activities from bidding concerns to project closeout. The authors also drill into operational issues such as temporary soils and drainage structures, common equipment, and materials procedures. Primarily geared for professionals of a domestic, midsized, commercial building construction project, the book also includes reference to public and international work, where techniques, practices, and decision making can be substantially different.https://docs.lib.purdue.edu/phbc/1000/thumbnail.jp
Jack O’Lantern Pumpkin Response to Carfentrazone, Glufosinate, and Glyphosate Applied to the Distal Portion of the Vine
Get PDFChemical weed control in pumpkin (Cucurbita pepo) often relies on herbicide applications made at planting, which results in weed escapes later in the growing season. The use of postemergence herbicides in row middles is useful, especially in no-till pumpkin production, but there are limited effective options. We conducted field research in 2023 at Wanatah and Lafayette, IN, USA, to evaluate ‘Bayhorse Gold’ pumpkin response to carfentrazone, glufosinate, and glyphosate applied to 10% of the vine tip 5 weeks after planting. A non-treated control was included for comparison. Pooled across both locations at 1, 2, and 4 weeks after treatment, glyphosate resulted in greater visible foliar injury (32%, 21%, and 9%, respectively) than carfentrazone (16%, 8%, and 5%, respectively) or glufosinate (13%, 8%, and 6%, respectively). Injury did not differ among the herbicide treatments at 6 weeks after treatment; crop injury was 9% for glyphosate, 7% for carfentrazone, and 6% for glufosinate. The nontreated control yielded 2420 orange pumpkins/acre weighing 48,016 lb/acre, which was statistically similar to plots treated with glyphosate (2766 pumpkins and 50,684 lb/acre), carfentrazone (2593 pumpkins and 50,303 lb/acre), and glufosinate (3111 pumpkins and 54,495 lb/acre). All treatments resulted in 346 green and 173 nonmarketable pumpkin fruit (\u3c3.3 lb) per acre. Our results suggest that the herbicide glufosinate, which is not currently registered for use in pumpkins, offers crop safety similar to carfentrazone and greater crop safety than glyphosate, which are both currently registered for use between pumpkin rows. Despite differences in visible crop injury, no herbicide treatment resulted in decreased pumpkin yield
Development of a Formalized Program for In-Service Inspection of Pedestrian Bridges
Get PDFCurrently, there are no universally accepted procedures or criteria related to the inspection of pedestrian bridges in the U.S. While some states have some criteria in place, the FHWA has no specific recommendations or requirements for such structures. However, pedestrian bridges can be very complex structures in some cases, whether by using non-redundant cable-supported walkways, curved super structures, or other materials not commonly used in highway bridges. Furthermore, many of these bridges are over busy state highways and carry many pedestrians daily. Due to the Indiana climate, these structures are often subjected to deicing chemicals that are applied more frequently than on state highways. Hence, corrosion of reinforcing steel and structural steel is possible. In the absences of any state-wide uniform inspection requirements, the risk associated with such bridges is elevated. This research project developed a proposed risk-based methodology to set inspection intervals and provide guidance on the scope of such inspections within the state of Indiana
Use of Machine Learning Methods to Obtain a Reliable Predictive Model for Resilient Modulus of Subgrade Soil
Get PDFThis project explores the development and optimization of predictive models for the resilient modulus (MR) of subgrade soil using advanced machine learning techniques. Comprehensive data from INDOT spanning several years was analyzed to enhance the accuracy of MR predictions. The study not only refined the modeling approach through statistical methods and validation but also identified crucial soil properties that significantly impact MR values. Recommendations for future data collection were made to further improve the models. The developed models and these recommendations will be used to guide INDOT in making informed decisions for pavement design and maintenance, which will ultimately lead to more efficient and cost-effective engineering practices
Development of Next Generation Phage Applications Using -omics and Machine Learning
Get PDFPhages are viruses that infect bacteria and use their host machinery to replicate. They are one of the most ubiquitous and diverse biological entities in the biosphere with a long evolutionary history. There is renewed interest in phage therapeutics due to increased levels of antimicrobial resistance (AMR) and decreased numbers of newly developed antibiotics. Phages also have applications in food safety, water quality, biocontrol, vaccines, and the global nutrient cycle. Both bacteria and phages employ internal and external self-defense strategies to outcompete one another which in turn drives genomic evolution. While many phage genomes have been sequenced and annotated, proteomic and lipidomic profiles of phage have barely been explored especially in terms of infection stage and lysogeny. This review highlights the need for characterizing the phage-host relationship on an -omics level with the addition of tools such as machine learning. By further understanding the dynamic interplay between phages and their hosts, synthetic biology can be utilized to engineer new solutions to combat our current global health, agricultural, and environmental challenges