Webb School of Knoxville

The investigation of jet energy loss in high-energy proton-proton (pp) collisions offers crucial insights into the properties of Quark-Gluon Plasma (QGP) and strongly interacting matter. In this study, we simulate 10,000 pp collision events using the Pythia event generator, followed by jet clustering via the longitudinally invariant anti-k_t algorithm implemented in Fastjet. The analysis focuses on examining missing transverse momentum (MET) and jet momentum imbalances to identify a mechanisms behind the potential energy loss on an event-by-event basis. Our results reveal a significant correlation between large MET values and low p_T2/p_T1 ratios, indicative of pronounced momentum imbalance between the leading and sub-leading jets. These findings suggest a substantial jet energy loss. Which is likely due to the medium interactions with implications for studying jet quenching phenomena in QGP. This work introduces a refined methodology for assessing jet quenching at a level of individual events, providing a detailed characterization of jet-medium interactions and contributing to the broader understanding of energy loss in high-energy nuclear collisions.

Solar wind, consisting of charged particles such as electrons and protons emitted from the Sun's corona, plays a pivotal role in space weather and geomagnetic phenomena when it interacts with Earth's magnetosphere. Geomagnetic storms, quantified by the Disturbance-Storm Time (Dst) index, have significant implications for various systems, including power grids and communication networks. This study explores the use of machine learning models, specifically the Bidirectional Long-Short Term Memory (Bi-LSTM) and the innovative Time Distributed Convolutional Neural Network (TD-CNN), for predicting the Dst index. A comprehensive dataset spanning from 1998 to 2020, incorporating solar wind observations and Dst index measurements, serves as the foundation for model construction and training. The models' predictive performance is evaluated using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) metrics. Notably, TD-CNN demonstrates superior accuracy and faster training times compared to Bi-LSTM, making it a promising choice for real-time Dst Index prediction. This study contributes valuable insights into TD-CNN's potential in space weather forecasting and solar activity analysis.

The COVID-19 pandemic and subsequent vaccine administration renewed the question of the potential effect that antipyretics have on antibody levels post-vaccination in pediatric patients. Many patients take antipyretics to reduce side effects and fevers as they have anti-inflammatory properties. We reviewed the literature for studies examining the question of whether the consumption of antipyretics reduced post-vaccination antibody titers. We found that there is a correlation between antipyretics decreasing antibody production in the pediatric population when given prophylactically. However, to confirm these results more in depth studies are required. Our PICO question allowed us to narrow our focus into the pediatric population, antipyretic intervention, and antibody levels. Our results reflect a significant decrease in antibody levels, but antipyretics do not affect clinical efficiency of the vaccines. Our world relies on vaccine technology and it has allowed us to survive pandemics like the COVID 19 outbreak. In order to keep using these innovations safely, more trials must be conducted.

Akaluc can achieve cell tracking at the single-cell level, so this paper hypothesized that the bioluminescence of Akaluc could be used to tracking MSC in vivo. A newly discovered imaging platform of bioluminescence which based on a red-shifted and highly deliverable luciferin analog Akaluc was used to evaluate the safety and distribution of mesenchymal stromal cells)MSCs( in vivo. After intravenous infusion in immune-deficient Nude mice with gene modified Akaluc MSC which was established by lentivirus mVenus-Akaluc infection, we tracked the MSCs in real time. Therefore, we could assess the safety of MSCs in vivo and their biodistribution and finally determine whether MSCs are suitable for further research and experiment. We genetically-engineered MSCs with Akaluc lentivirus infection and puromycine screening named Akaluc MSCs. In vitro, the Akaluc activity of Akaluc MSCs reached 6300 per 104 cells. Signals can also be observed in more than 10 cells through in vivo imaging. Within 1-5 days after injection, the cells are mainly concentrated in the lungs. A part of the cells was observed to transfer to liver on the fifth day and was mainly spread in liver after 7 days. The cells were observed to survive for 14 to 21 days in vivo. In the meantime, the nude mice behave normally, and the mesenchymal stem cells disappear after 21 days. After continuous observation over one year, no tumorigenesis and no death wea observed in the mice. Former researches showed that cells were trapped in lungs and disappeared after 7 days. In this study, we observed MSCs live for over 14 days by the tracking using Akaluc. Akaluc was proven to be more effective than other enzymes in visualizing the biodistribution of mesenchymal stem cells, and it was proven to be not having tumorigenicity, because no sign of tumorigenesis was observed in vivo after one year.

Previously, we developed the method for non-rigid motion correction in the quasi-image space of histo-projections. The TOF locality property is used to locally perform motion correction; that is, the approximation of motion as locally rigid on a scale of TOF resolution. The motion vector field (MFV) is estimated from motion-sampled histo-images, which represents the most likely annihilation locations and is a combination of all histo-projection data. The histo-image is relatively noisy, compared with a full statistical reconstruction image from the same data set. Excessive noise leads to a suboptimal estimation of MVF when a standard optical flow method is applied. Nevertheless, histo-images may be denoised (and deblurred) based on target images of histo-projection data reconstruction, resulting in improved quality of histo-image generation.Deep Learning methodology is used in histo-image denoising, where computationally expensive statistical reconstruction from the same data provides training images. U-Net CNN, found to be effective in denoising PET images, is utilized.Biograph Vision Quadra (Siemens Healthineers) patient data was employed in investigations. This PET/CT scanner of long axial field of view (LAFOV) offers a very good time-of-flight (TOF) resolution of about 215 ps, suitable for quasi-image motion correction techniques. Data-driven motion detection is particularly attractive in LAFOV scanners since the entire patient is visible at once.The initial results showcased that DL histo-image denoising and deblurring improve MFV estimation. This procedure leads to less motion-blurry images in the case of respiratory motion correction, performed entirely in the TOF projection space.

Adult scoliosis can be classified into two groups, either degenerative scoliosis or idiopathic scoliosis. These two types of scoliosis vary in patient age, progression, and physical presentation. In adult idiopathic scoliosis, spurs form as a result of the onset of arthritis in the joints of the spine, resulting in back pain and in many cases deformity. On the other hand, in adult degenerative scoliosis, the degeneration of discs can lead to numbness and shooting pains that radiate down the leg. It is for this reason that surgical methods must be carefully weighed and considered to account for the major symptoms to prevent postoperative complications. With improvements in surgical treatments, more attention should be paid to improving the patient’s quality of life as a part of the follow up procedures. Ultimately, once a diagnosis has been reached, based on the symptoms and any other illnesses, all aspects of the treatment should be considered in order to prevent postoperative complications, to relieve symptoms and to improve overall quality of life. A variety of papers and studies were thoroughly reviewed and studied before writing this review paper, including “Evaluation of quality of life and risk factors affecting quality go life in adolescent idiopathic scoliosis” and “Surgical Treatment of Adult Degenerative Scoliosis”.La scoliose — plus spécifiquement la scoliose adulte — peut être classée en deux catégories, soit la scoliose adulte dégénérative ou la scoliose adulte idiopathique. Ces deux types de scoliose varient en fonction de l'âge du patient, la progression, et la représentation physique. Dans la scoliose adulte idiopathique, la formation d’éperons survient à cause de l’arthrite dans les articulations de la colonne vertébrale ce qui entraîne des douleurs au dos et dans de nombreux cas, une difformité. D'autre part, dans la scoliose adulte dégénérative, la dégénérescence des disques peut engendrer un engourdissement et des douleurs fulgurantes qui irradient jusqu’au bas de la jambe. C’est pour cela que les méthodes chirurgicales doivent être mûrement réfléchies et dûment évaluées pour tenir compte des principaux symptômes afin de prévenir les complications postopératoires. Avec le progrès des traitements chirurgicaux, plus d'attention devrait être accordée à l'amélioration de la qualité de vie du patient dans les procédures de suivi. En fin de compte, une fois que le diagnostic a été déterminé, les symptômes et tout autres maladies, ainsi que tous les aspects du traitement doivent être envisagés afin de prévenir les complications postopératoires, soulager les symptômes et améliorer la qualité de vie globale.

Journal Article The Tennessee-Virginia Tri-Cities: Urbanization in Appalachia, 1900–1950 Get access The Tennessee-Virginia Tri-Cities: Urbanization in Appalachia, 1900–1950. By Lee Tom. (Knoxville: University of Tennessee Press, 2005. xvi, 342 pp. $42.00, isbn1-57233-334-0.) Mark T. Banker Mark T. Banker Webb School of KnoxvilleKnoxville, Tennessee Search for other works by this author on: Oxford Academic Google Scholar Journal of American History, Volume 93, Issue 3, December 2006, Pages 893–894, https://doi.org/10.2307/4486493 Published: 01 December 2006

At the pre-college and first-year college level ofphysics instruction, Kepler's laws are generally taught asempirical laws of nature. Introductory physics textbooks onlyderive Kepler's Second law of areas. It is possible to deriveall of Kepler's laws mathematically from the conservation laws,employing only high-school algebra and geometry. Moreover, atreatment of Kepler's Third law can naturally proceed from thegeneral elliptic orbit to the special case of a circular orbit.Consequently, a study of Kepler's Third law need not be restricted to circular orbits.