An Evaluation of the Kansas Bioscience Authority: Economic Impact Measures

In the fall of 2011, the Kansas Bioscience Authority (KBA) requested that the University of Kansas Center for Science, Technology & Economic Policy at the Institute for Policy & Social Research provide a review of KBA’s Direct Outcomes Description and Measurement Policy. This policy informs KBA's collection of economic impact data and frames KBA’s policies more generally in light of technology evaluation. This report responds to KBA's request and addresses the following topics: 1) general challenges of technology evaluation; 2) the scope of KBA’s technology programs; 3) the contributions of KBA’s current measures to overall program evaluation; 4) measures that might be added or enhanced in the future; and 5) a comparison of this review to other efforts to evaluate KBA. This report discusses the inherent difficulty of measuring long‐term scientific investments with short‐term indicators of future economic impact. KBA has several programs designed to increase bioscience research, foster commercial development, and attract new ventures to the state of Kansas. Each of these activities requires different metrics to evaluate its overall impact. We reviewed these metrics and compared them to those being collected by similar state agencies as well as the federal STAR METRICS program. Our review shows that KBA collects more metrics than agencies reviewed in other states. KBA also collects many of the indicators used in the federal STAR METRICS program. We recommend that KBA enhance its measures by including additional STAR METRICS measures such as patent citations, scientific publications, and workforce development indicators including students trained in bioscience on KBA funded projects. Although, KBA has been reviewed on two previous occasions, this report provides new information on the quality of the economic impact data they collect. Overall, we find that KBA collects a comprehensive set of outcome measures that span the scope of KBA’s mission and provide the basis for understanding the economic impact of their scientific investments

Magnetic Resonance Imaging of Bone Marrow Cell-Mediated Interleukin-10 Gene Therapy of Atherosclerosis

A characteristic feature of atherosclerosis is its diffuse involvement of arteries across the entire human body. Bone marrow cells (BMC) can be simultaneously transferred with therapeutic genes and magnetic resonance (MR) contrast agents prior to their transplantation. Via systemic transplantation, these dual-transferred BMCs can circulate through the entire body and thus function as vehicles to carry genes/contrast agents to multiple atherosclerosis. This study was to evaluate the feasibility of using in vivo MR imaging (MRI) to monitor BMC-mediated interleukin-10 (IL-10) gene therapy of atherosclerosis.For in vitro confirmation, donor mouse BMCs were transduced by IL-10/lentivirus, and then labeled with a T2-MR contrast agent (Feridex). For in vivo validation, atherosclerotic apoE(-/-) mice were intravenously transplanted with IL-10/Feridex-BMCs (Group I, n = 5) and Feridex-BMCs (Group II, n = 5), compared to controls without BMC transplantation (Group III, n = 5). The cell migration to aortic atherosclerotic lesions was monitored in vivo using 3.0T MRI with subsequent histology correlation. To evaluate the therapeutic effect of BMC-mediated IL-10 gene therapy, we statistically compared the normalized wall indexes (NWI) of ascending aortas amongst different mouse groups with various treatments.Of in vitro experiments, simultaneous IL-10 transduction and Feridex labeling of BMCs were successfully achieved, with high cell viability and cell labeling efficiency, as well as IL-10 expression efficiency (≥90%). Of in vivo experiments, MRI of animal groups I and II showed signal voids within the aortic walls due to Feridex-created artifacts from the migrated BMCs in the atherosclerotic plaques, which were confirmed by histology. Histological quantification showed that the mean NWI of group I was significantly lower than those of group II and group III (P<0.05).This study has confirmed the possibility of using MRI to track, in vivo, IL-10/Feridex-BMCs recruited to atherosclerotic lesions, where IL-10 genes function to prevent the progression of atherosclerosis

Robotic Table Tennis: A Case Study into a High Speed Learning System

We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the ability to precisely return the ball to desired targets. This system puts together a highly optimized perception subsystem, a high-speed low-latency robot controller, a simulation paradigm that can prevent damage in the real world and also train policies for zero-shot transfer, and automated real world environment resets that enable autonomous training and evaluation on physical robots. We complement a complete system description, including numerous design decisions that are typically not widely disseminated, with a collection of studies that clarify the importance of mitigating various sources of latency, accounting for training and deployment distribution shifts, robustness of the perception system, sensitivity to policy hyper-parameters, and choice of action space. A video demonstrating the components of the system and details of experimental results can be found at https://youtu.be/uFcnWjB42I0.Comment: Published and presented at Robotics: Science and Systems (RSS2023

Muc5b Is the Major Polymeric Mucin in Mucus from Thoroughbred Horses With and Without Airway Mucus Accumulation

Mucus accumulation is a feature of inflammatory airway disease in the horse and has been associated with reduced performance in racehorses. In this study, we have analysed the two major airways gel-forming mucins Muc5b and Muc5ac in respect of their site of synthesis, their biochemical properties, and their amounts in mucus from healthy horses and from horses with signs of airway mucus accumulation. Polyclonal antisera directed against equine Muc5b and Muc5ac were raised and characterised. Immunohistochemical staining of normal equine trachea showed that Muc5ac and Muc5b are produced by cells in the submucosal glands, as well as surface epithelial goblet cells. Western blotting after agarose gel electrophoresis of airway mucus from healthy horses, and horses with mucus accumulation, was used to determine the amounts of these two mucins in tracheal wash samples. The results showed that in healthy horses Muc5b was the predominant mucin with small amounts of Muc5ac. The amounts of Muc5b and Muc5ac were both dramatically increased in samples collected from horses with high mucus scores as determined visually at the time of endoscopy and that this increase also correlated with increase number of bacteria present in the sample. The change in amount of Muc5b and Muc5ac indicates that Muc5b remains the most abundant mucin in mucus. In summary, we have developed mucin specific polyclonal antibodies, which have allowed us to show that there is a significant increase in Muc5b and Muc5ac in mucus accumulated in equine airways and these increases correlated with the numbers of bacteria

Disruption of the CCL1-CCR8 axis inhibits vascular Treg recruitment and function and promotes atherosclerosis in mice

The CC chemokine 1 (CCL1, also called I-309 or TCA3) is a potent chemoattractant for leukocytes that plays an important role in inflammatory processes and diseases through binding to its receptor CCR8. Here, we investigated the role of the CCL1-CCR8 axis in atherosclerosis. We found increased expression of CCL1 in the aortas of atherosclerosis-prone fat-fed apolipoprotein E (Apoe)-null mice; moreover, in vitro flow chamber assays and in vivo intravital microscopy demonstrated an essential role for CCL1 in leukocyte recruitment. Mice doubly deficient for CCL1 and Apoe exhibited enhanced atherosclerosis in aorta, which was associated with reduced plasma levels of the anti-inflammatory interleukin 10, an increased splenocyte Th1/Th2 ratio, and a reduced regulatory T cell (Treg) content in aorta and spleen. Reduced Treg recruitment and aggravated atherosclerosis were also detected in the aortas of fat-fed low-density lipoprotein receptor-null mice treated with CCR8 blocking antibodies. These findings demonstrate that disruption of the CCL1-CCR8 axis promotes atherosclerosis by inhibiting interleukin 10 production and Treg recruitment and function.This study was supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (MCIU, grants SAF2016-79490-R and SAF2014-57845-R) and the Instituto de Salud Carlos III (ISCIII, grants PI14/00526, PI17/01395, CP11/00145, and CPII16/00022) with co-funding from the European Regional Development Fund (ERDF, “Una manera de hacer Europa”), the Fundación Ramón Areces, European Union (EuroCellNet COST Action CA15214) and the INSERM. VZG is supported by the ISCIII, JMG-G by the ISCIII Miguel Servet Program and the Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), AdMM by the MCIU (predoctoral contract BES-2014-06779), and ZM by a British Heart Foundation Professorship. The CNIC is supported by the MCIU and the Pro CNIC Foundation and is a Severo Ochoa Center of Excellence (SEV-2015-0505).S

Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm

BACKGROUND: Thoracic aortic aneurysm (TAA) is usually asymptomatic and associated with high mortality. Adverse clinical outcome of TAA is preventable by elective surgical repair; however, identifying at-risk individuals is difficult. We hypothesized that gene expression patterns in peripheral blood cells may correlate with TAA disease status. Our goal was to identify a distinct gene expression signature in peripheral blood that may identify individuals at risk for TAA. METHODS AND FINDINGS: Whole genome gene expression profiles from 94 peripheral blood samples (collected from 58 individuals with TAA and 36 controls) were analyzed. Significance Analysis of Microarray (SAM) identified potential signature genes characterizing TAA vs. normal, ascending vs. descending TAA, and sporadic vs. familial TAA. Using a training set containing 36 TAA patients and 25 controls, a 41-gene classification model was constructed for detecting TAA status and an overall accuracy of 78+/-6% was achieved. Testing this classifier on an independent validation set containing 22 TAA samples and 11 controls yielded an overall classification accuracy of 78%. These 41 classifier genes were further validated by TaqMan real-time PCR assays. Classification based on the TaqMan data replicated the microarray results and achieved 80% classification accuracy on the testing set. CONCLUSIONS: This study identified informative gene expression signatures in peripheral blood cells that can characterize TAA status and subtypes of TAA. Moreover, a 41-gene classifier based on expression signature can identify TAA patients with high accuracy. The transcriptional programs in peripheral blood leading to the identification of these markers also provide insights into the mechanism of development of aortic aneurysms and highlight potential targets for therapeutic intervention. The classifier genes identified in this study, and validated by TaqMan real-time PCR, define a set of promising potential diagnostic markers, setting the stage for a blood-based gene expression test to facilitate early detection of TAA

The development of an enlistment standards model for the Navy Aviation Machinist's Mate (AD) rating

http://archive.org/details/developmentofenl00osluNAN

An Evaluation of the Kansas Bioscience Authority Economic Impact Measures

In the fall of 2011, the Kansas Bioscience Authority (KBA) requested that the University of Kansas Center for Science, Technology & Economic Policy at the Institute for Policy & Social Research provide a review of KBA’s Direct Outcomes Description and Measurement Policy. This policy informs KBA's collection of economic impact data and frames KBA’s policies more generally in light of technology evaluation. This report responds to KBA's request and addresses the following topics: 1) general challenges of technology evaluation; 2) the scope of KBA’ technology programs; 3) the contributions of KBA’s current measures to overall program evaluation; 4) measures that might be added or enhanced in the future; and 5) a comparison of this review to other efforts to evaluate KBA. This report discusses the inherent difficulty of measuring long‐term scientific investments with short‐term indicators of future economic impact. KBA has several programs designed to increase bioscience research, foster commercial development, and attract new ventures to the state of Kansas. Each of these activities requires different metrics to evaluate its overall impact. We reviewed these metrics and compared them to those being collected by similar state agencies as well as the federal STAR METRICS program. Our review shows that KBA collects more metrics than agencies reviewed in other states. KBA also collects many of the indicators used in the federal STAR METRICS program. We recommend that KBA enhance its measures by including additional STAR METRICS measures such as patent citations, scientific publications, and workforce development indicators including students trained in bioscience on KBA funded projects. Although, KBA has been reviewed on two previous occasions, this report provides new information on the quality of the economic impact data they collect. Overall, we find that KBA collects a comprehensive set of outcome measures that span the scope of KBA’s mission and provide the basis for understanding the economic impact of their scientific investments