The objectives of these studies were to assess U.S. dairy nutritionists' approaches toward balancing CP in lactating cow diets, and to leverage existing knowledge of postabsorptive AA metabolism through the application of a mathematical ration-balancing model to predict N efficiency through a more accurate postabsorptive amino acid (AA) delivery. In experiment 1, dairy nutritionists (n = 77) that fed a total of 521,000 lactating dairy cows responded to a questionnaire related to demographic information, feelings toward environmental nitrogen (N) excretion, and dietary CP balancing practices. Eighty-nine percent of nutritionists balanced diets based on one or more individual AA requirements of dairy cows. The primary concern with formulation of lower CP diets was the cost per unit of metabolizable protein (MP). In the second study, three treatments were fed to lactating Holstein cows (n = 48) to test proof of concept of NASEM 2021 and a nonlinear optimizer: a control balanced to fulfill all nutrient needs of lactating dairy cows producing 45 kg milk/d using the NRC (2001) dairy model (NRC01), and two diets balanced with a nonlinear optimizer that fulfilled requirements according to the updated NASEM (2021) dairy model and attempted to either: 1) maximize N efficiency through tailored post-ruminal AA supply (NEFF), or 2) maximize income over feed cost (IOFC). A simulation function was written in RStudio (version 2022.02.3) to predict daily animal performance with NASEM 2021. Dry matter intake, milk, and milk components from both the observed data and the simulation data matrices were analyzed as repeated measures (days) in a mixed model to test for both observed and predicted (simulated) differences in treatment means. Income over feed cost was $4.83, $4.77, and $5.12/cow/d for NRC01, IOFC, and NEFF, respectively (P = 0.96). Nitrogen efficiency (%) was greatest for NEFF (33.7), followed by NRC01 (28.9) and IOFC (23.4; P < 0.05 between all treatments). Based upon simulation data, NASEM 2021 predicted relative performance differences between animals that consumed treatments with differing absorbed EAA supplies, although residual analyses revealed that further progress could be made in milk protein (g/d), milk fat (g/d), milk yield (kg/d), and DMI (kg/d) predictions. / Doctor of Philosophy / Nitrogen (N) is considered one of the major environmental pollutants of the dairy industry. A concerted focus on reducing dietary crude protein (CP) loss by targeting the specific amino acid (AA) needs of cattle will also reduce the amount of N they excrete. Because most dairy farmers hire nutritionists to formulate rations for their cows, the objective of our first study, performed in 2019, was to assess U.S. dairy nutritionists' approaches toward balancing AA in lactating cow diets. The objective of our second study was to apply a mathematical ration-balancing model that specifically optimized AA efficiency for lactating dairy cows by leveraging existing knowledge of dairy cow AA metabolism. In study 1, 89% of nutritionists balanced diets based on one or more individual AA requirements of dairy cows. Most respondents (72%) reported that they are currently formulating diets with lower dietary protein than they were 3 to 5 yr ago. In the first study, the primary concern with formulating lower protein diets was the high cost of protein sources that are highly metabolizable for cows. In study 2, income over feed cost (income made from estimated milk sales minus cost of feed) was similar for cows fed a diet with the lowest protein (relative to two other diets), but cows on the low protein diet also ate the least (kg of dry matter/d) and produced the least amount of milk protein (kg/d) and milk fat (kg/d). Still, relative to the other two diets in the study, N consumed by cows on the lowest CP diet was more efficiently converted to milk protein, which resulted in lesser N excretion in milk. Harnessing the knowledge gained from these studies could allow significant reduction of environmental N excretion at little to no cost to consumers or farmers.

An essential software development tool, code search engines are expected to provide superior accuracy, usability, and performance. However, prior research has neither (1) summarized, categorized, and compared representative code search engines, nor (2) analyzed the actual expectations that developers have for code search engines. This missing knowledge can empower developers to fully benefit from search engines, academic researchers to uncover promising research directions, and industry practitioners to properly marshal their efforts. This thesis fills the aforementioned gaps by drawing a comprehensive picture of code search engines, including their definition, standard processes, existing solutions, common alternatives, and developers' perspectives. We first study the state of the art in code search engines by analyzing academic papers, industry releases, and open-source projects. We then survey more than a 100 software developers to ascertain their usage of and preferences for code search engines. Finally, we juxtapose the results of our study and survey to synthesize a call-for-action for researchers and industry practitioners to better meet the demands software developers make on code search engines. We present the first comprehensive overview of state-of-the-art code search engines by categorizing and comparing them based on their respective search strategies, applicability, and performance. Our user survey revealed a surprising lack of awareness among many developers w.r.t. code search engines, with a high preference for using general-purpose search engines (e.g., Google) or code repositories (e.g., GitHub) to search for code. Our results also clearly identify typical usage scenarios and sought-after properties of code search engines. Our findings can guide software developers in selecting code search engines most suitable for their programming pursuits, suggest new research directions for researchers, and help programming tool builders in creating effective code search engine solutions. / Master of Science / When developing software, programmers rely on source code search engines to find code snippets related to the programming task at hand. Given their importance for software development, source code engines have become the focus of numerous research and industry projects. However, researchers and developers remain largely unaware of each other's efforts and expectations. As a consequence, developers find themselves struggling to determine which engine would best fit their needs, while researchers remain unaware what developers expect from search engines. This thesis address this problem via a three-pronged approach: (1) it provides a systematic review of the research literature and major engines; (2) it analyzes the results of surveying software developers about their experiences with and expectations for code search engines; (3) it presents actionable insights that can guide future research and industry efforts in code search engines to better meet the needs of software developers.

Radverkehrsplanung wird aktuell sehr häufig als Angebotsplanung verstanden. Dieser Fakt steht zumindest teilweise im Widerspruch zu den oftmals knappen personellen und finanziellen Ressourcen. Eine nachfrageorientierte Planung kann an dieser Stelle deutliche Vorteile bei der Priorisierung von Maßnahmen und dem gezielten Mitteleinsatz bedeuten. Seit 2007 wird die Nutzung von GPS-Daten für die Radverkehrsplanung erforscht (Harvey und Krizek 2007) und als eine Möglichkeit betrachtet, um die Radverkehrsnachfrage im Zuge von Crowdsourcing Ansätzen zu erheben. Mit der zunehmenden Verfügbarkeit und Verbreitung von Smartphones in der Bevölkerung wurde dieser Ansatz in den vergangenen Jahren zunehmend relevanter. Für die Angebots- bzw. Datenqualität sind die genutzte Stichprobe sowie die Motivatoren zur Teilnahme an einer Kampagne jedoch von großer Wichtigkeit. Die genannten Punkte wurden bisher allerdings meist nicht oder nur unzureichend untersucht, sodass elementare Fragen zur Repräsentativität der Stichproben und zum Nutzen von Kampagnen unbeantwortet blieben. Die vorliegende Arbeit soll diese Forschungslücke für die bundesweite Radverkehrskampagne STADTRADELN schließen.

Excess phosphorus (P) that is transported into water bodies can cause water quality problems. A high potential for P delivery occurs when there is a high transport potential from erosion, runoff, and/or leaching coupled with high soil test P and/or high rate of fertilizer P application. A management tool is needed to identify those fields that have a high transport and source potential to deliver P to surface water. The Virginia P-Index is a mass-based tool that estimates the annual risk of delivery of P from a given field to surface water. Guidelines on P application rates are then given based on the level of risk. This is a new tool and additional research and testing are needed to determine the dependability and validity of the index. The overall goal of the research was to contribute to the continued development of the Virginia P-Index as an effective P management tool. A sensitivity analysis was completed to identify the parameters to which the P-Index was most sensitive under a range of conditions. In low erosion and runoff conditions, the P-Index was most sensitive to P management factors including application rate. As erosion and runoff potential increased, the P-Index was most sensitive to the erosion risk factors including soil loss. Under conditions with subsurface leaching, the P-Index was most sensitive to the subsurface leaching factors and Mehlich I soil test P. A stochastic analysis was also conducted to determine the effects of parameter variability. Variability of the P-Index output was greater as the risk of P delivery increased and this could affect management recommendations. A survey was completed to determine expert opinion as to the appropriateness of parameter estimation methods used in the Virginia P-Index. Thirty-eight surveys were returned, representing a diverse range of participants within and outside of Virginia. Comments from the respondents were used to evaluate the appropriateness of the parameter methods. All factors were determined to be appropriate given the state of the science. Estimation methods for the following factors were determined to be less appropriate than the other sub-factors by the survey respondents: soil texture/drainage class, subsurface dissolved reactive orthophosphate (DRP), runoff delivery, and sediment delivery. The Virginia P-Index was determined to be a well thought out management tool and implementation should identify fields with the greatest risk of P delivery to surface water. Recommendations for improvement were identified including a need for additional analysis and studies. / Master of Science

Kaizen implementation and other continuous improvement practices can be used by companies to lower manufacturing costs and increase product value. Kaizen activities are one way that wood products companies can increase their competitiveness. Being able to measure the effectiveness of Kaizen events is important to factors that contribute to Kaizen effectiveness as well as identifying the success of Kaizen implementation. However, little research has focused on the implementation of Kaizen and other continuous improvement methods within the wood products industry or on the perceptions of employees within this industry regarding either the motivators for, barriers to, and effectiveness of perceptions of Kaizen, or the drivers affecting Kaizen implementation. The goal of this research is to develop a tool to measure the effectiveness of Kaizen and to apply this tool to companies within the wood products industry. To accomplish this research goal, a case study approach was used in examining how two U.S. wood products companies implemented Kaizen and other continuous improvement initiatives and how employees at these companies viewed such implementation. As part of this case study, interviews were conducted with staff in each company and surveys were administered to production and non-production employees at each company. A tool was developed to measure the perceived effectiveness of Kaizen events, and this tool was tested using the survey data were collected from each company. The results from these analyses show statistically significant differences in how production employees across companies viewed the following: motivators related to cost and quality outcomes, as well as the success of other companies, as motivators for Kaizen; and barriers related to middle management, time, money, technology, and poor past experiences. Poor past experience with Kaizen were also viewed significantly differently by production and non-production employees in one of the companies studied. The results also show that perceptions of productivity improvements were the most significant predictor of the perceived effectiveness of Kaizen implementation. These results and the development of a tool to measure Kaizen will help guide and improve future Kaizen and other continuous improvement efforts within the wood products industry and provide insights for future research. / Master of Science

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No / The project to set-up the survey in this dataset was supported by the Association for Project Management (APM), and the survey has been sent sent to its corporate member organisations. The survey was intended to help to gain a better understanding of the policies and practice around Opportunity Management as a part of Project Risk Management. The survey has been designed and analysed by members of the APM Risk SIG and Delft University of Technology (The Netherlands). Results of the survey have been presented to APM to help the development of APM's documented approach to Project Risk Management in publications such as the APM Body of Knowledge and SIG Guides. In addition, anonymous and aggregated survey results are used for academic publications, providing more insight into the practice of Opportunity Management. The dataset contains: - Survey questions as they have been entered into Qualtrics (TM) [PDF] - Coding scheme that has been used to code the answers to the survey questions [PDF] - Raw answers to the survey questions (fully anonymized) [CSV] - Data Management Plan (DMP) for the survey as part of the HREC application [PDF] - HREC approval from TU Delft for the research protocol [PDF] - readme.txt file with this content / Association for Project Management

Yes / Pelvic radiographs remain an essential investigation in orthopaedic practice. Although it is recognised that acquisition techniques can affect image appearances and measurement accuracy, it remains unclear what variation in practice exists and what impact this could have on decision making. Method: This was a cross sectional survey of UK radiology departments utilising an electronic tool. An introductory letter and link was distributed. Responses were received from 69 unique hospital sites within the specified timeframe, a response rate of 37.9%. Results: There was no consistent technique for the positioning of patients for pelvic radiographs. The distance varied between 90 and 115 cm and 10 different centering points were described. In relation to leg position, the feet are usually internally rotated (65 of 69 [94.2%]). Only 1 teaching hospital (1 of 69 [1.4%]) uses a weight-bearing position as standard. Orthopaedic calibration devices were not in routine use, with only 21 using on pelvic x-rays (30.4%). Further, the type of device and application criteria were inconsistent. Conclusions: To our knowledge this is the first study to directly compare radiographic positioning across hospital sites. Our data demonstrated marked variation in technique for pelvis radiographs with associated implications for clinical decision making. Research is required to determine the standard technique and quality outcome measures to provide confidence in diagnostic interpretation particularly for serial radiographs. / College of Radiographers Industry Partnership Scheme (CoRIPS).

Yes / Born in Bradford (BiB) have carried out surveys of BiB participants during the first national lockdown (April – June 2020) and at a second Phase (Oct – Dec 2020). A third survey took place between June – July 2021. Participants were from either the BiB’s Growing Up (GU) or Better Start (BiBBS) cohorts and had children in pre-school, primary and secondary school age groups. This report presents a summary of the findings identified in Phase 2 (29th October 2020 – 23rd December 2020) of the Born in Bradford’s Covid-19 adult survey. / The Health Fund Covid-19 Award; Wellcome Trust; ESRC; NIHR: Applied Research Collaboration, Yorkshire and Humber; ActEarly UK Preventative Research Partnership Consortium; NIHR Clinical Research Network; National Lottery Community Fund

This study explores whether queer people wait longer than non-queer people to seek professional medical care in the wake of an illness or injury. Little scholarship has evaluated queer people's pursuit of palliative medical care. An online survey was distributed to Virginia Tech students aged 18-30 years old who have experienced an illness or injury in the last year that compromised their daily function. Using demographic data obtained about gender identity and sexuality, respondents were divided into "queer" (non-cisgender and/or non-heterosexuals) and "non-queer" (cisgender, heterosexuals) groups. The survey assessed the number of days between the onset of an illness or injury and the first attempt to schedule care. The statistical analysis revealed significant differences suggesting that, of the people who had received care in the last 12 months, queer people, on average, waited fewer days than non-queer people to attempt to schedule care. This does not include respondents who indicated that they did not receive care in the last 12 months. This may indicate that queer people forego seeking palliative care unless absolutely necessary. This study is informed by M. Reynolds's Health Power Resources theory, and demonstrates the importance of measuring not only the presence of behaviors but also the absence of relevant behaviors when applying this theory. Based on the results, this study calls for further research into both delays in care-seeking behavior and into healthcare avoidance among queer individuals. / Master of Science / If two different people catch an illness and one of them identifies as transgender or gay, but the other one identifies as straight and cisgender, which one of them will wait longer to see a doctor? Waiting longer to get healthcare can be dangerous and costly, and yet many people wait to get healthcare even when they get sick or injured. Queer people (those who do not identify as cisgender and heterosexual) have themselves reported experiencing a number of barriers to receiving healthcare in the United States. This study compares how long queer and non-queer people wait to seek healthcare after an illness or injury to see if these reported barriers to accessing healthcare contribute to a greater reluctance among queer people to pursue healthcare. This reluctance is measured as the number of days between the start of a person's medical ailment and their first attempt at scheduling or receiving professional care for said ailment. A survey was conducted of Virginia Tech students, all of whom experienced an illness or injury in the last 12 months that compromised their ability to perform daily tasks (such as attending classes or completing housework). The results indicated that, of the people who had received care in the last year, queer people, on average, waited fewer days than non-queer people to seek care. However; this dataset does not reflect the experiences of those who indicated that, despite getting sick or injured, they did not receive care in the last 12 months. This may suggest that queer people avoid getting professional help for an illness or injury unless absolutely necessary, instead waiting for injuries or illnesses to get better without professional care. Based on the results, more research is needed on both delays in care-seeking and on healthcare avoidance among queer individuals.