Search

Your search keyword '"Nolan B"' showing total 1,516 results
Start Over Author "Nolan B"
1,516 results on '"Nolan B"'

2. Use of 3-dimensional printing at the point-of-care to manage a complex wound in hemifacial necrotizing fasciitis: a case report

Author

Sarah C. Nyirjesy, Ryan T. Judd, Yazen Alfayez, Peter Lancione, Brian Swendseid, Natalia von Windheim, Stephen Nogan, Nolan B. Seim, and Kyle K. VanKoevering

Subjects
Three-dimensional printing (3D), Negative pressure wound therapy, Wound Vac, Computer assisted design, Necrotizing fasciitis, Case report, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Background Complex facial wounds can be difficult to stabilize due to proximity of vital structures. We present a case in which a patient-specific wound splint was manufactured using computer assisted design and three-dimensional printing at the point-of-care to allow for wound stabilization in the setting of hemifacial necrotizing fasciitis. We also describe the process and implementation of the United States Food and Drug Administration Expanded Access for Medical Devices Emergency Use mechanism. Case presentation A 58-year-old female presented with necrotizing fasciitis of the neck and hemiface. After multiple debridements, she remained critically ill with poor vascularity of tissue in the wound bed and no evidence of healthy granulation tissue and concern for additional breakdown towards the right orbit, mediastinum, and pretracheal soft tissues, precluding tracheostomy placement despite prolonged intubation. A negative pressure wound vacuum was considered for improved healing, but proximity to the eye raised concern for vision loss due to traction injury. As a solution, under the Food and Drug Administration’s Expanded Access for Medical Devices Emergency Use mechanism, we designed a three-dimensional printed, patient-specific silicone wound splint from a CT scan, allowing the wound vacuum to be secured to the splint rather than the eyelid. After 5 days of splint-assisted vacuum therapy, the wound bed stabilized with no residual purulence and developed healthy granulation tissue, without injury to the eye or lower lid. With continued vacuum therapy, the wound contracted to allow for safe tracheostomy placement, ventilator liberation, oral intake, and hemifacial reconstruction with a myofascial pectoralis muscle flap and a paramedian forehead flap 1 month later. She was eventually decannulated and at six-month follow-up has excellent wound healing and periorbital function. Conclusions Patient-specific, three-dimensional printing is an innovative solution that can facilitate safe placement of negative pressure wound therapy adjacent to delicate structures. This report also demonstrates feasibility of point-of-care manufacturing of customized devices for optimizing complex wound management in the head and neck, and describes successful use of the United States Food and Drug Administration’s Expanded Access for Medical Devices Emergency Use mechanism.

Published
2023
Full Text
View/download PDF

3. Four chromosome scale genomes and a pan-genome annotation to accelerate pecan tree breeding

Author

John T. Lovell, Nolan B. Bentley, Gaurab Bhattarai, Jerry W. Jenkins, Avinash Sreedasyam, Yanina Alarcon, Clive Bock, Lori Beth Boston, Joseph Carlson, Kimberly Cervantes, Kristen Clermont, Sara Duke, Nick Krom, Keith Kubenka, Sujan Mamidi, Christopher P. Mattison, Maria J. Monteros, Cristina Pisani, Christopher Plott, Shanmugam Rajasekar, Hormat Shadgou Rhein, Charles Rohla, Mingzhou Song, Rolston St. Hilaire, Shengqiang Shu, Lenny Wells, Jenell Webber, Richard J. Heerema, Patricia E. Klein, Patrick Conner, Xinwang Wang, L. J. Grauke, Jane Grimwood, Jeremy Schmutz, and Jennifer J. Randall

Subjects
Science
Abstract

Pecan is an important specialty crop that has experienced extensive interspecific hybridization and nearly-obligate outcrossing. Here, the authors assemble diploid genomes of four outbred genotypes, identify interspecific introgressions through comparative genomics analyses, and map QTLs associated with pest resistance.

Published
2021
Full Text
View/download PDF

4. Return to sport and patient satisfaction in athletic populations following meniscal allograft transplantation: a narrative review

Author

Derrick M. Knapik, Aghogho Evuarherhe, Jr, Joshua T. Kaiser, Kyle R. Wagner, Reem Darwish, Nolan B. Condron, and Brian J. Cole

Subjects
Meniscal allograft transplantation, Meniscus, Outcomes, Patient-reported, Return to sport, Diseases of the musculoskeletal system, RC925-935, Other systems of medicine, RZ201-999, Sports medicine, RC1200-1245
Abstract

Introduction: Meniscal injuries represent the most common pathology affecting the knee, often limiting return to sporting activities secondary to pain and disability. In meniscal deficient patients, meniscal allograft transplantation (MAT) procedure may be considered. Return to sport (RTS) rate, predictors of successful RTS, and patient-reported outcomes in athletic patients undergoing MAT are largely unknown. Objectives: To review the literature on RTS rates, predictors of RTS success or failure, and patient-reported outcomes following MAT in athletic patients. Methods: PubMed, Cochrane, and Scopus databases were reviewed for relevant literature using the following keywords: “meniscal allograft transplantation,” “meniscal transplant,” “meniscus transplant,” “return to sport,” “return to play,” and “patient-reported outcomes.” Results: RTS rates following MAT are generally favorable in the athletic population. Appropriate graft sizing, secure graft fixation, younger age, and the absence of articular cartilage injury are associated with improved RTS success. Meanwhile, the presence of focal chondral defects, osteoarthritic changes, limb malalignment, concomitant procedures performed at the time of MAT, and ligamentous instability are associated with failed RTS. Significant improvements in patient-reported outcomes were appreciated when compared to pre-operative values. Conclusions: MAT is a viable treatment option for athletic, meniscal deficient patients. Future investigations of high methodologic quality that evaluate long-term outcomes, graft survivorship, and athletic performance following MAT are warranted to better understand the influence and efficacy of MAT in athletic patients.

Published
2022
Full Text
View/download PDF

5. Bone Union of Osseous Microvascular Free Tissue Transfer in Mandibular Reconstruction

Author

Akina Tamaki MD, Shruthi Sethuraman BS, Lucy Shi MD, Songzhu Zhao MS, Keith C. Carver DMD, MD, MS, Angel Hatef MD, Michael Luttrull MD, Nolan B. Seim MD, Stephen Y. Kang MD, Enver Ozer MD, Amit Agrawal MD, and Matthew O. Old MD

Subjects
Otorhinolaryngology, RF1-547, Surgery, RD1-811
Abstract

Objectives Osseous microvascular free tissue transfer (MFTT) is the gold standard for reconstruction for most segmental mandibulectomy defects. The most common osseous MFTT utilized in reconstruction is the fibular, scapular, and osteocutaneous radial forearm (OCRF) free flap. We evaluated postoperative bone union as well as clinical complications following MFTT and the impact of various patient and reconstructive characteristics, including type of osseous MFTT. Study Design Retrospective cohort study. Setting Tertiary care academic hospital. Methods This study examined patients who underwent osseous MFTT for mandibular defects from January 2017 to January 2019. Results An overall 144 osteotomies in 58 patients were evaluated. Of the 144 junctions, 28 (19.4%) showed radiographic nonunion. Patients who underwent preoperative (odds ratio [OR] = 0.30, P = .027) and postoperative (OR = 0.28, P = .003) radiation had a significantly lower bone union score. Time from surgery to postoperative imaging was associated with higher bone union scores (OR = 1.07, P = .024). When bone union scores were compared among types of MFTT, fibular (OR = 5.62, P = .008) and scapular (OR = 4.69, P = .043) MFTT had significantly higher scores than OCRF MFTT. Twelve (20.7%) patients had postoperative complications. There was no statistically significant correlation between clinical complications and various variables, including type of osseous MFTT. Conclusion Pre- and postoperative radiation and time from surgery have an impact on bone union. Regarding the type of MFTT, fibular and scapular MFTT appeared to have higher bone union when compared with OCRF. There was no impact of bone union or type of osseous MFTT on clinical complications.

Published
2022
Full Text
View/download PDF

6. Open Posterior Glenoid Reconstruction Using a Distal Tibial Allograft

Author

Tracy M. Tauro BS, BA, Nolan B. Condron BS, Ryan J. Quigley MD, PhD, Blake M. Bodendorfer MD, and Brian J. Cole MD, MBA

Subjects
Sports medicine, RC1200-1245, Orthopedic surgery, RD701-811
Abstract

Background: Posterior instability is less common than anterior instability but can be seen in contact athletes and posttraumatically. Distal tibial allograft reconstruction for glenoid bone loss was first described by Provencher and colleagues in 2009 and an arthroscopic technique for posterior glenoid reconstruction using a distal tibial allograft was later described by Gupta et al in 2013. Indications: The primary indications for posterior distal tibial allograft include the failure of conservative management, recurrent instability after an arthroscopic stabilization, or glenoid bone loss > 20% to 25%. Technique Description: The patient is positioned in lateral decubitus, and examination under anesthesia is performed. Following arthroscopic evaluation, an incision is made medial to the posterolateral aspect of the acromion at the glenohumeral joint level. Electrocautery is carried to the deltoid, which is split in line with its fibers. A split between the infraspinatus and teres minor is performed. Vertical capsulotomy is performed, and deep retractors are placed. Attention is turned to the back table for graft preparation. The graft is measured, marked on the lateral aspect of the articular surface, and cut accordingly. Two 3.5-mm holes are drilled 1 cm apart, and the graft is thoroughly irrigated before being placed into the wound. A 2.5-mm drill is used in the 3.5-mm holes, and two 3.5-mm solid fully threaded screws are placed under power and tightened by hand. The wound is closed in the traditional fashion. Results: Graft nonunion and/or resorption are the primary concerns following posterior distal tibial allograft. Amar et al found no cases of nonunion or partial unions on 6-month computerized tomography (CT) scan, most patients having no or

Published
2021
Full Text
View/download PDF

7. Transformation of facial basal cell carcinoma to squamous cell carcinoma following vismodegib

Author

Dustin A. Silverman, Michael M. Li, Thomas E. Olencki, Nolan B. Seim, Theodoros N. Teknos, and Stephen Y. Kang

Subjects
Vismodegib, Basal cell carcinoma, Cutaneous squamous cell carcinoma, Transformation, Otorhinolaryngology, RF1-547
Abstract

Objective(s): Vismodegib, a unique hedgehog pathway inhibitor, has been demonstrated to be effective in the treatment of non-operable and metastatic basal cell carcinoma (BCC). While effective, concerns regarding its role in the development of cutaneous squamous cell carcinoma (CSCC) remain. The primary objective is to describe a unique case of locally advanced BCC of the face and subsequent transformation to CSCC following treatment with vismodegib. Methods: Case report. Results: A 64-year-old Caucasian female presented with a 3-year history of a progressive and erosive lesion involving the entirety of her forehead with involvement of the left medial canthus and upper eyelid. Biopsies performed at the periphery of the lesion demonstrated superficial and nodular BCC. As surgical management would result in significant morbidity, the patient elected for treatment with oral vismodegib, 150 mg daily, with curative intent. Dramatic tumor response was experienced over an 18-month period; however, surveillance MRI demonstrated concern for tumor progression at the periphery of the mass without evidence of intracranial extension or metastases. Subsequent biopsies at the superior and left supraorbital margins demonstrated invasive SCC. Following immunohistochemistry analysis, intravenous nivolumab, 480 mg monthly was initiated; the patient remains progression-free after 18 months of therapy. Conclusion: This case highlights the importance of close surveillance in patients treated with vismodegib for non-operable BCC. Serial biopsies of new or suspicious appearing tumors should be performed given the potential for CSCC transformation.

Published
2021
Full Text
View/download PDF

9. Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses

Author

Ellen L. Young, Jeekin Lau, Nolan B. Bentley, Zena Rawandoozi, Sara Collins, Mark T. Windham, Patricia E. Klein, David H. Byrne, and Oscar Riera-Lizarazu

Subjects
Rosa, emaravirus, QTL, virus resistance, plant breeding, Medicine
Abstract

Resistance to rose rosette disease (RRD), a fatal disease of roses (Rosa spp.), is a high priority for rose breeding. As RRD resistance is time-consuming to phenotype, the identification of genetic markers for resistance could expedite breeding efforts. However, little is known about the genetics of RRD resistance. Therefore, we performed a quantitative trait locus (QTL) analysis on a set of inter-related diploid rose populations phenotyped for RRD resistance and identified four QTLs. Two QTLs were found in multiple years. The most consistent QTL is qRRV_TX2WSE_ch5, which explains approximately 20% and 40% of the phenotypic variation in virus quantity and severity of RRD symptoms, respectively. The second, a QTL on chromosome 1, qRRD_TX2WSE_ch1, accounts for approximately 16% of the phenotypic variation for severity. Finally, a third QTL on chromosome 3 was identified only in the multiyear analysis, and a fourth on chromosome 6 was identified in data from one year only. In addition, haplotypes associated with significant changes in virus quantity and severity were identified for qRRV_TX2WSE_ch5 and qRRD_TX2WSE_ch1. This research represents the first report of genetic determinants of resistance to RRD. In addition, marker trait associations discovered here will enable better parental selection when breeding for RRD resistance and pave the way for marker-assisted selection for RRD resistance.

Published
2022
Full Text
View/download PDF

10. The Use of Vasopressor Agents in Free Tissue Transfer for Head and Neck Reconstruction: Current Trends and Review of the Literature

Author

Akash N. Naik, Taylor Freeman, Michael M. Li, Scarlett Marshall, Akina Tamaki, Enver Ozer, Amit Agrawal, Stephen Y. Kang, Matthew O. Old, and Nolan B. Seim

Subjects
vasopressors, anesthesia management, microvascular surgery, head and neck reconstruction, free tissue transfer, Therapeutics. Pharmacology, RM1-950
Abstract

Background/ObjectivesMicrovascular free tissue transfer has become essential to head and neck reconstruction and recent advancements in microvascular surgery have led to excellent surgical outcomes. However, there continues to be controversy and a stigma associated with the use of perioperative intravenous vasopressor agents among both surgeons and anesthesiologists. Due to concern for vasoconstriction of peripheral vasculature flowing to the denervated tissue flap, there remains concerns about potential thrombosis, decreased tissue perfusion and ultimately flap failure. This topic becomes even more important as vasopressors play an essential role in new Extended Recovery After Surgery (ERAS) protocols being put in place to optimize postoperative recovery for patients. The purpose of this study was to comprehensively review the role and safety as well as discuss current trends with intraoperative vasopressor agents in free tissue transfer for head and neck reconstruction.MethodsA scoping literature review was conducted of all studies that examined the use of vasopressor agents during head and neck free flap tissue transfer. Primary and secondary outcomes included free flap survival, arterial thrombosis, venous congestion, need for revision surgery, and other postoperative complications.ResultsOne prospective and nine retrospective studies were identified. Phenylephrine and ephedrine were the most common vasopressors reported; the rate of vasopressor use ranged from 53% to 85% and administration methods included both bolus and infusion. The included studies did not show any significant association between the use of vasopressors and free flap failure, pedicle thrombosis, or other flap complications.ConclusionThe administration of vasopressors during microvascular free tissue transfer for head and neck reconstruction does not seem to be associated with increased flap failure rates or other postoperative morbidities. Moreover, vasopressors may provide overall improved hemodynamic stability and help to limit overall fluid administration and subsequent postoperative complications. Additional prospective investigation is warranted to further elucidate and establish evidence-based recommendations regarding the type, timing, and dose of vasopressors to further enhance free flap survival and patient outcomes.

Published
2020
Full Text
View/download PDF

11. A Human-Centered Approach for Bootstrapping Causal Graph Creation

Author

Tram, Minh Q., Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Robotics
Abstract

Causal inference, a cornerstone in disciplines such as economics, genomics, and medicine, is increasingly being recognized as fundamental to advancing the field of robotics. In particular, the ability to reason about cause and effect from observational data is crucial for robust generalization in robotic systems. However, the construction of a causal graphical model, a mechanism for representing causal relations, presents an immense challenge. Currently, a nuanced grasp of causal inference, coupled with an understanding of causal relationships, must be manually programmed into a causal graphical model. To address this difficulty, we present initial results towards a human-centered augmented reality framework for creating causal graphical models. Concretely, our system bootstraps the causal discovery process by involving humans in selecting variables, establishing relationships, performing interventions, generating counterfactual explanations, and evaluating the resulting causal graph at every step. We highlight the potential of our framework via a physical robot manipulator on a pick-and-place task., Comment: To be presented at the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI) Workshop on Causal Learning for Human-Robot Interaction (Causal-HRI)

Published
2024

12. Subacute Transplantation of Native and Genetically Engineered Neural Progenitors Seeded on Microsphere Scaffolds Promote Repair and Functional Recovery After Traumatic Brain Injury

Author

Nolan B. Skop, Sweta Singh, Henri Antikainen, Chaitali Saqcena, Frances Calderon, Deborah E. Rothbard, Cheul H. Cho, Chirag D. Gandhi, Steven W. Levison, and Radek Dobrowolski

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

There is intense interest and effort toward regenerating the brain after severe injury. Stem cell transplantation after insult to the central nervous system has been regarded as the most promising approach for repair; however, engrafting cells alone might not be sufficient for effective regeneration. In this study, we have compared neural progenitors (NPs) from the fetal ventricular zone (VZ), the postnatal subventricular zone, and an immortalized radial glia (RG) cell line engineered to conditionally secrete the trophic factor insulin-like growth factor 1 (IGF-1). Upon differentiation in vitro , the VZ cells were able to generate a greater number of neurons than subventricular zone cells. Furthermore, differentiated VZ cells generated pyramidal neurons . In vitro , doxycycline-driven secretion of IGF-1 strongly promoted neuronal differentiation of cells with hippocampal, interneuron and cortical specificity. Accordingly, VZ and engineered RG-IGF-1-hemagglutinin (HA) cells were selected for subsequent in vivo experiments. To increase cell survival, we delivered the NPs attached to a multifunctional chitosan-based scaffold. The microspheres containing adherent NPs were injected subacutely into the lesion cavity of adult rat brains that had sustained controlled cortical impact injury. At 2 weeks posttransplantation, the exogenously introduced cells showed a reduction in stem cell or progenitor markers and acquired mature neuronal and glial markers. In beam walking tests assessing sensorimotor recovery, transplanted RG cells secreting IGF-1 contributed significantly to functional improvement while native VZ or RG cells did not promote significant recovery. Altogether, these results support the therapeutic potential of chitosan-based multifunctional microsphere scaffolds seeded with genetically modified NPs expressing IGF-1 to promote repair and functional recovery after traumatic brain injuries.

Published
2019
Full Text
View/download PDF

15. Contemporary use of sentinel lymph node biopsy in the head and neck

Author

Nolan B. Seim, Chadwick L. Wright, and Amit Agrawal

Subjects
Otorhinolaryngology, RF1-547, Surgery, RD1-811
Abstract

Sentinel lymph node biopsy has become a well-established and commonplace practice in many oncologic disease sites as a means to stage the regional lymphatics, avoid unnecessary surgery and decrease patient morbidity. In the head and neck, its role is well established for cutaneous melanoma with proven fidelity and survival benefit. Its role in use for other sites such as oral cavity carcinoma continues to develop with promising results from several recent trials. Although not widely adopted, the potential benefits of sentinel lymph node biopsy in the management of oral cavity carcinoma are apparent. Refinements in technology and protocols including development of novel radiopharmaceutical tracers, routine incorporation of detailed anatomic imaging, increasing surgeon experience and development of new intraoperative identification aids will likely lead to improvements in the use and accuracy of this technique. Keywords: Oral cavity cancer, Sentinel lymph node, Head and neck cancer, Squamous cell carcinoma, Lymphoscintigraphy

Published
2016
Full Text
View/download PDF

17. MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Open-set recognition refers to the problem in which classes that were not seen during training appear at inference time. This requires the ability to identify instances of novel classes while maintaining discriminative capability for closed-set classification. OpenMax was the first deep neural network-based approach to address open-set recognition by calibrating the predictive scores of a standard closed-set classification network. In this paper we present MetaMax, a more effective post-processing technique that improves upon contemporary methods by directly modeling class activation vectors. MetaMax removes the need for computing class mean activation vectors (MAVs) and distances between a query image and a class MAV as required in OpenMax. Experimental results show that MetaMax outperforms OpenMax and is comparable in performance to other state-of-the-art approaches., Comment: To be presented at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshop on Dealing with Novelty in Open Worlds (DNOW)

Published
2022

18. Evaluating Uncertainty Calibration for Open-Set Recognition

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics
Abstract

Despite achieving enormous success in predictive accuracy for visual classification problems, deep neural networks (DNNs) suffer from providing overconfident probabilities on out-of-distribution (OOD) data. Yet, accurate uncertainty estimation is crucial for safe and reliable robot autonomy. In this paper, we evaluate popular calibration techniques for open-set conditions in a way that is distinctly different from the conventional evaluation of calibration methods on OOD data. Our results show that closed-set DNN calibration approaches are much less effective for open-set recognition, which highlights the need to develop new DNN calibration methods to address this problem., Comment: To be presented at the 2022 IEEE International Conference on Robotics and Automation (ICRA) Workshop on Safe and Reliable Robot Autonomy under Uncertainty

Published
2022

19. Interleukin (IL)-1/IL-6-Inhibitor–Associated Drug Reaction With Eosinophilia and Systemic Symptoms (DReSS) in Systemic Inflammatory Illnesses

Author

Aamir, R., Abulaban, K., Adams, A., Lapsia, C. Aguiar, Akinsete, A., Akoghlanian, S., Al Manaa, M., AlBijadi, A., Allenspach, E., Almutairi, A., Alperin, R., Amarilyo, G., Ambler, W., Amoruso, M., Angeles-Han, S., Ardoin, S., Armendariz, S., Asfaw, L., Aviran Dagan, N., Bacha, C., Balboni, I., Balevic, S., Ballinger, S., Baluta, S., Barillas-Arias, L., Basiaga, M., Baszis, K., Baxter, S., Becker, M., Begezda, A., Behrens, E., Beil, E., Benseler, S., Bermudez-Santiago, L., Bernal, W., Bigley, T., Bingham, C., Binstadt, B., Black, C., Blackmon, B., Blakley, M., Bohnsack, J., Boneparth, A., Bradfield, H., Bridges, J., Brooks, E., Brothers, M., Brunner, H., Buckley, L., Buckley, M., Bukulmez, H., Bullock, D., Canna, S., Cannon, L., Canny, S., Cartwright, V., Cassidy, E., Castro, D., Chalom, E., Chang, J., Chang, M., Chang-Hoftman, A., Chen, A., Chiraseveenuprapund, P., Ciaglia, K., Co, D., Cohen, E., Collinge, J., Conlon, H., Connor, R., Cook, K., Cooper, A., Cooper, J., Corbin, K., Correll, C., Cron, R., Curry, M., Dalrymple, A., Datyner, E., Davis, T., De Ranieri, D., Dean, J., DeCoste, C., Dedeoglu, F., DeGuzman, M., Delnay, N., DeSantis, E., Devine, R., Dhalla, M., Dhanrajani, A., Dissanayake, D., Dizon, B., Drapeau, N., Drew, J., Driest, K., Du, Q., Duncan, E., Dunnock, K., Durkee, D., Dvergsten, J., Eberhard, A., Ede, K., Edelheit, B., Edens, C., El Tal, T., Elder, M., Elzaki, Y., Fadrhonc, S., Failing, C., Fair, D., Favier, L., Feldman, B., Fennell, J., Ferguson, P., Ferguson, I., Figueroa, C., Flanagan, E., Fogel, L., Fox, E., Fox, M., Franklin, L., Fuhlbrigge, R., Fuller, J., Furey, M., Futch-West, T., Gagne, S., Gennaro, V., Gerstbacher, D., Gilbert, M., Gironella, A., Glaser, D., Goh, I., Goldsmith, D., Gorry, S., Goswami, N., Gottlieb, B., Graham, T., Grevich, S., Griffin, T., Grim, A., Grom, A., Guevara, M., Hahn, T., Halyabar, O., Hamda Natur, M., Hammelev, E., Hammond, T., Harel, L., Harris, J., Harry, O., Hausmann, J., Hay, A., Hays, K., Hayward, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horton, D., Horwitz, M., Hsu, J., Huber, A., Huberts, A., Huggins, J., Huie, L., Hui-Yuen, J., Ibarra, M., Imlay, A., Imundo, L., Inman, C., Jackson, A., James, K., Janow, G., Jared, S., Jiang, Y., Johnson, L., Johnson, N., Jones, J., Kafisheh, D., Kahn, P., Kaidar, K., Kasinathan, S., Kaur, R., Kessler, E., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein-Gitelman, M., Knight, A., Kovalick, L., Kramer, S., Kremer, C., Kudas, O., LaFlam, T., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Lawler, C., Lawson, E., Laxer, R., Lee, P., Lee, T., Lee, A., Leisinger, E., Lentini, L., Lerman, M., Levinsky, Y., Levy, D., Li, S., Lieberman, S., Lim, L., Limenis, E., Lin, C., Ling, N., Lionetti, G., Livny, R., Lloyd, M., Lo, M., Long, A., Lopez-Peña, M., Lovell, D., Luca, N., Lvovich, S., Lytch, A., Ma, M., Machado, A., MacMahon, J., Madison, J., Mannion, M., Manos, C., Mansfield, L., Marston, B., Mason, T., Matchett, D., McAllister, L., McBrearty, K., McColl, J., McCurdy, D., McDaniels, K., McDonald, J., Meidan, E., Mellins, E., Mian, Z., Miettunen, P., Miller, M., Milojevic, D., Mitacek, R., Modica, R., Mohan, S., Moore, T., Moore, K., Moorthy, L., Moreno, J., Morgan, E., Moyer, A., Murante, B., Murphy, A., Muscal, E., Mwizerwa, O., Najafi, A., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Nearanz, K., Neely, J., Newhall, L., Nguyen, A., Nigrovic, P., Nocton, J., Nolan, B., Nowicki, K., Oakes, R., Oberle, E., Ogbonnaya-Whittesley, S., Ogbu, E., Oliver, M., Olveda, R., Onel, K., Orandi, A., Padam, J., Paller, A., Pan, N., Pandya, J., Panupattanapong, S., Toledano, A. Pappo, Parsons, A., Patel, J., Patel, P., Patrick, A., Patrizi, S., Paul, S., Perfetto, J., Perron, M., Peskin, M., Ponder, L., Pooni, R., Prahalad, S., Puplava, B., Quinlan-Waters, M., Rabinovich, C., Rafko, J., Rahimi, H., Rampone, K., Ramsey, S., Randell, R., Ray, L., Reed, A., Reid, H., Reiff, D., Richins, S., Riebschleger, M., Rife, E., Riordan, M., Riskalla, M., Robinson, A., Robinson, L., Rodgers, L., Rodriquez, M., Rogers, D., Ronis, T., Rosado, A., Rosenkranz, M., Rosenwasser, N., Rothermel, H., Rothman, D., Rothschild, E., Roth-Wojcicki, E., Rouster-Stevens, K., Rubinstein, T., Rupp, J., Ruth, N., Sabbagh, S., Sadun, R., Santiago, L., Saper, V., Sarkissian, A., Scalzi, L., Schahn, J., Schikler, K., Schlefman, A., Schmeling, H., Schmitt, E., Schneider, R., Schulert, G., Schultz, K., Schutt, C., Seper, C., Sheets, R., Shehab, A., Shenoi, S., Sherman, M., Shirley, J., Shishov, M., Siegel, D., Singer, N., Sivaraman, V., Sloan, E., Smith, C., Smith, J., Smitherman, E., Soep, J., Son, Mary B., Sosna, D., Spencer, C., Spiegel, L., Spitznagle, J., Srinivasalu, H., Stapp, H., Steigerwald, K., Stephens, A., Sterba Rakovchik, Y., Stern, S., Stevens, B., Stevenson, R., Stewart, K., Stewart, W., Stingl, C., Stoll, M., Stringer, E., Sule, S., Sullivan, J., Sundel, R., Sutter, M., Swaffar, C., Swayne, N., Syed, R., Symington, T., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Tesher, M., Thakurdeen, T., Theisen, A., Thomas, B., Thomas, L., Thomas, N., Ting, T., Todd, C., Toib, D., Torok, K., Tory, H., Toth, M., Tse, S., Tsin, C., Twachtman-Bassett, J., Twilt, M., Valcarcel, T., Valdovinos, R., Vallee, A., Van Mater, H., Vandenbergen, S., Vannoy, L., Varghese, C., Vasquez, N., Vega-Fernandez, P., Velez, J., Verbsky, J., Verstegen, R., von Scheven, E., Vora, S., Wagner-Weiner, L., Wahezi, D., Waite, H., Walker, B., Walters, H., Waterfield, M., Waters, A., Weiser, P., Weiss, P., Weiss, J., Wershba, E., Westheuser, V., White, A., Widrick, K., Williams, C., Wong, S., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yasin, S., Yeung, R., Yomogida, K., Zeft, A., Zhang, Y., Zhao, Y., Zhu, A., Saper, Vivian E., Tian, Lu, Verstegen, Ruud H.J., Conrad, Carol K., Cidon, Michal, Hopper, Rachel K., Kuo, Christin S., Osoegawa, Kazutoyo, Baszis, Kevin, Bingham, Catherine A., Ferguson, Ian, Hahn, Timothy, Horne, Annacarin, Isupova, Eugenia A., Jones, Jordan T., Kasapcopur, Özgür, Klein-Gitelman, Marisa S., Kostik, Mikhail M., Ozen, Seza, Phadke, Omkar, Prahalad, Sampath, Randell, Rachel L., Sener, Seher, Stingl, Cory, Abdul-Aziz, Rabheh, Akoghlanian, Shoghik, Al Julandani, Dalila, Alvarez, Marcela B., Bader-Meunier, Brigitte, Balay-Dustrude, Erin E., Balboni, Imelda, Baxter, Sarah K., Berard, Roberta A., Bhattad, Sagar, Bolaria, Roxana, Boneparth, Alexis, Cassidy, Elaine A., Co, Dominic O., Collins, Kathleen P., Dancey, Paul, Dickinson, Aileen M., Edelheit, Barbara S., Espada, Graciela, Flanagan, Elaine R., Imundo, Lisa F., Jindal, Ankur K., Kim, Hyoun-Ah, Klaus, Günter, Lake, Carol, Lapin, W. Blaine, Lawson, Erica F., Marmor, Itay, Mombourquette, Joy, Ogunjimi, Benson, Olveda, Rebecca, Ombrello, Michael J., Onel, Karen, Poholek, Catherine, Ramanan, Athimalaipet V., Ravelli, Angelo, Reinhardt, Adam, Robinson, Amanda D., Rouster-Stevens, Kelly, Saad, Nadine, Schneider, Rayfel, Selmanovic, Velma, Sefic Pasic, Irmina, Shenoi, Susan, Shilo, Natalie R., Soep, Jennifer B., Sura, Angeli, Taber, Sarah F., Tesher, Melissa, Tibaldi, Jessica, Torok, Kathryn S., Tsin, Cathy Mei, Vasquez-Canizares, Natalia, Villacis Nunez, Diana S., Way, Emily E., Whitehead, Benjamin, Zemel, Lawrence S., Sharma, Surbhi, Fernández-Viña, Marcelo A., and Mellins, Elizabeth D.

Published
2024
Full Text
View/download PDF

21. Bleeding phenotype according to factor level in 825 children with nonsevere hemophilia: data from the PedNet cohort

Author

Alvarèz Román, M.T., Benitez Hidalgo, O., Blatny, J., Bührlen, M., Carvalho, M., Chambost, H., Rosa Cid, A., Oudot, C., Escuriola-Ettingshausen, C., Fischer, K., Van Geet, C., Glosli, H., Gretenkort Andersson, N., Ljung, R., Königs, C., Koskenvuo, M., Male, C., Stamm Mikkelsen, T., Molinari, A., Motwani, J., Nolan, B., d’Oiron, R., Oldenburg, J., Olivieri, M., Pergantou, H., Pinto, F., Ranta, S., Kartal-Kaess, M., Zápotocká, E., Kenet, G., Carcao, M., Rivard, G., de Kovel, Marloes S., Escuriola-Ettingshausen, Carmen, Königs, Christoph, Ranta, Susanna, and Fischer, Kathelijn

Published
2024
Full Text
View/download PDF

23. Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

Author

Gutierrez, Nolan B. and Beksi, William J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Thermal images model the long-infrared range of the electromagnetic spectrum and provide meaningful information even when there is no visible illumination. Yet, unlike imagery that represents radiation from the visible continuum, infrared images are inherently low-resolution due to hardware constraints. The restoration of thermal images is critical for applications that involve safety, search and rescue, and military operations. In this paper, we introduce a system to efficiently reconstruct thermal images. Specifically, we explore how to effectively attend to contrasting receptive fields (RFs) where increasing the RFs of a network can be computationally expensive. For this purpose, we introduce a deep attention to varying receptive fields network (AVRFN). We supply a gated convolutional layer with higher-order information extracted from disparate RFs, whereby an RF is parameterized by a dilation rate. In this way, the dilation rate can be tuned to use fewer parameters thus increasing the efficacy of AVRFN. Our experimental results show an improvement over the state of the art when compared against competing thermal image super-resolution methods., Comment: To be published in the 2021 13th International Conference on Computer Vision Systems (ICVS)

Published
2021

24. An Uncertainty Estimation Framework for Probabilistic Object Detection

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we introduce a new technique that combines two popular methods to estimate uncertainty in object detection. Quantifying uncertainty is critical in real-world robotic applications. Traditional detection models can be ambiguous even when they provide a high-probability output. Robot actions based on high-confidence, yet unreliable predictions, may result in serious repercussions. Our framework employs deep ensembles and Monte Carlo dropout for approximating predictive uncertainty, and it improves upon the uncertainty estimation quality of the baseline method. The proposed approach is evaluated on publicly available synthetic image datasets captured from sequences of video., Comment: To be published in the 2021 International Conference on Automation Science and Engineering (CASE)

Published
2021

27. Determinants of bleeding before and during immune tolerance in 222 boys with severe hemophilia A and inhibitors >5 BU

Author

Alvarèz Román, MT, Benitez Hidalgo, O, Blatny, J, Bührlen, M, Carvalho, M, Castaman, G, Chambost, H, Rosa Cid, A, Escuriola-Ettingshausen, C, Fischer, K, Van Geet, C, Gretenkort Andersson, N, Kartal-Kaess, M, Knudsen, H, Königs, C, Koskenvuo, M, Male, C, Stamm Mikkelsen, T, Molinari, A, Motwani, J, Nolan, B, d’Oiron, R, Oldenburg, J, Olivieri, M, Oudot, C, Pergantou, H, Pinto, F, Ranta, S, Zápotocká, E, Kenet, G, Carcao, M, Rivard, G, Fischer, Kathelijn, Kenet, Gili, Kurnik, Karin, Carcao, Manuel, Oldenburg, Johannes, Stamm-Mikkelsen, Torben, Cid Haro, Ana Rosa, Koskenvuo, Minna, Blatny, Jan, and Königs, Christoph

Published
2024
Full Text
View/download PDF

35. Technique Corner: Marrow Stimulation and Augmentation

Author

Haunschild, Eric D., Gilat, Ron, Wolfson, Theodore, Wong, Stephanie, Condron, Nolan B., Kaiser, Joshua T., Cole, Brian J., Nakamura, Norimasa, editor, Marx, Robert G., editor, Musahl, Volker, editor, Getgood, Alan, editor, Sherman, Seth L., editor, and Verdonk, Peter, editor

Published
2022
Full Text
View/download PDF

36. Health Equity Implications of Missing Data Among Youths With Childhood‐Onset Systemic Lupus Erythematosus: A Proof‐of‐Concept Study in the Childhood Arthritis and Rheumatology Research Alliance Registry

Author

Woo, Jennifer M. P., Simmonds, Faith, Dennos, Anne, Son, Mary Beth F., Lewandowski, Laura B., Rubinstein, Tamar B., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Phillippi, K., Marafon, D. Pires, Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster‐Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
Full Text
View/download PDF

41. Childhood‐Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short‐Term Kidney Status and Variation in Care

Author

Smitherman, Emily A., Chahine, Rouba A., Beukelman, Timothy, Lewandowski, Laura B., Rahman, A. K. M. Fazlur, Wenderfer, Scott E., Curtis, Jeffrey R., Hersh, Aimee O., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Marafon, D. Pires, Phillippi, K., Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster – Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
Full Text
View/download PDF

48. Which substances pose the greatest risk of substance use disorder after controlling for polysubstance use?

Author

Gooding, Nolan B., Allami, Youssef, and Williams, Robert J.

Subjects
*SUBSTANCE abuse risk factors, *SUBSTANCE abuse, *CROSS-sectional method, *COCAINE, *SMOKING cessation products, *METHAMPHETAMINE, *QUESTIONNAIRES, *DISEASE prevalence, *HALLUCINOGENIC drugs, *DESCRIPTIVE statistics, *SURVEYS, *HEROIN, *OPIOID analgesics, *COMPARATIVE studies, *ALCOHOL drinking, *CANNABIS (Genus), *PSYCHIATRIC drugs, *DRUGS of abuse
Abstract

Both physiological and epidemiological research suggest that certain psychoactive substances have a greater potential for abuse (e.g. heroin) than others (e.g. hallucinogens). The use of multiple substances is also associated with a higher risk of substance use disorder (SUD). The goal of the present study was to evaluate the association between the use of different substances and the risk of SUD while accounting for polysubstance use. Data from the 2021 National Survey on Drug Use and Health (n = 58,034, unweighted) were used. Eight different substances (i.e. Alcohol, Cannabis, Cocaine, Inhalants, Hallucinogens, Heroin, Methamphetamine, and Opiate Misuse) were compared with respect to their typical frequency of use; the prevalence of SUD among individuals using each substance; the odds of SUDs when controlling for polysubstance use; and the rate of other substance use among those with a substance-specific SUD. Notable differences were found regarding the frequency of use and the rate of SUD among individuals reporting past year use. Heroin and methamphetamine were associated with the highest risk of SUD across all analyses. In contrast, hallucinogens and inhalants were consistently identified as having the lowest risk. The present results confirm that certain substances appear to have an inherently greater association with SUD compared to other substances. While these findings are not fundamentally divergent from prior epidemiological studies or ranking systems, they provide a more solid empirical foundation for assumptions of differential risk. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

49. A Prospective, Randomized, Double-Blind Clinical Trial to Investigate the Efficacy of Autologous Bone Marrow Aspirate Concentrate During Arthroscopic Meniscectomy in Patients With Early Knee Osteoarthritis.

Author

Yanke, Adam B., Yazdi, Allen A., Weissman, Alexander C., Wagner, Kyle R., Meeker, Zachary D., Condron, Nolan B., Darwish, Reem Y., Drager, Justin, Danilkowicz, Richard M., Forsythe, Brian, Verma, Nikhil N., and Cole, Brian J.

Subjects
KNEE osteoarthritis, MENISCUS injuries, STATISTICAL power analysis, REPEATED measures design, PREDICTIVE tests, SURGERY, PATIENTS, T-test (Statistics), RESEARCH funding, ARTHROSCOPY, STATISTICAL sampling, BLIND experiment, QUESTIONNAIRES, SAMPLE size (Statistics), FISHER exact test, MULTIPLE regression analysis, POSTOPERATIVE pain, VISUAL analog scale, TREATMENT effectiveness, RANDOMIZED controlled trials, MAGNETIC resonance imaging, DESCRIPTIVE statistics, CHI-squared test, MANN Whitney U Test, INJECTIONS, LONGITUDINAL method, FRIEDMAN test (Statistics), ANALYSIS of variance, BONE marrow transplantation, HEALTH outcome assessment, COMPARATIVE studies, DATA analysis software, MENISCECTOMY, NONPARAMETRIC statistics
Abstract

Background: Despite being recognized as a safe procedure with minimal reported complications, injecting autologous bone marrow aspirate concentrate (BMAC) as an adjuvant to arthroscopic partial meniscectomy (APM) for symptomatic patients with meniscal tears and concomitant knee osteoarthritis (OA) has not been studied in randomized controlled trials. Purpose: To compare patient-reported outcome measure (PROM) scores and radiographic outcomes in symptomatic patients with meniscal tears and concomitant mild knee OA who underwent APM with and without an autologous BMAC injection administered at the time of surgery. Study Design: Randomized controlled trial; Level of evidence, 1. Methods: Enrolled patients aged ≥18 years determined to have a symptomatic meniscal tear with concomitant mild knee OA suitable for APM and meeting inclusion and exclusion criteria were randomized into 2 groups: BMAC and control (no BMAC). The primary endpoint of the study was the International Knee Documentation Committee (IKDC) score at 1 year postoperatively. Secondary endpoints included radiographic outcomes (Kellgren-Lawrence grade) at 1 year postoperatively and various PROM scores, including those for the IKDC, Knee injury and Osteoarthritis Outcome Score (KOOS), visual analog scale, and Veterans RAND 12-Item Health Survey, at 3 months, 6 months, 1 year, and 2 years after meniscectomy. Results: Of the 95 enrolled patients, 83 (87.4%) were included for final analysis. No significant differences were found between the groups with regard to patient characteristics, intraoperative variables, concomitant procedures, preoperative PROM scores, or preoperative radiographic findings. At 1 year postoperatively, the BMAC group failed to demonstrate significantly better IKDC scores (P =.687) or radiographic outcomes (P >.05 for all radiographic measures) compared with the control group. Secondary PROM scores also did not significantly differ between the groups (P >.05 for all PROMs). However, there were higher achievement rates of the minimal clinically important difference for the KOOS Sport (100.0% vs 80.0%, respectively; P =.023) and KOOS Symptoms (92.3% vs 68.0%, respectively; P =.038) at 1 year postoperatively in the BMAC group than in the control group. All PROMs, excluding the VR-12 mental score, showed significant improvements compared with baseline at all postoperative time points for both the BMAC and control groups. Conclusion: The addition of an autologous BMAC injection during APM did not result in significant changes in IKDC scores or radiographic outcomes at the 1-year postoperative mark. Secondary PROM scores were generally comparable between the 2 groups, but there was higher minimal clinically important difference achievement for the KOOS Sport and KOOS Symptoms at 1 year postoperatively in the BMAC group. In patients with symptoms consistent with a meniscal tear who had concomitant mild OA, the addition of BMAC to arthroscopic debridement did not affect the outcome. Registration: NCT02582489 (ClinicalTrials.gov) [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

50. Thermal Image Super-Resolution Challenge - PBVS 2021.

Author

Rafael E. Rivadeneira, ángel D. Sappa, Boris Xavier Vintimilla, Sabari Nathan, Priya Kansal, Armin Mehri, Parichehr Behjati Ardakani, Anurag Dalal, Aparna Akula, Darshika Sharma, Shashwat Pandey, Basant Kumar, Jiaxin Yao, Rongyuan Wu, Kai Feng, Ning Li, Yongqiang Zhao 0001, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch 0001, Feras Almasri, Thomas Vandamme, Olivier Debeir, Nolan B. Gutierrez, Quan H. Nguyen, and William J. Beksi

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results