974 results on '"Saverino, A."'
Search Results
2. A multi-actor ICT platform for increasing sustainability and resilience of small-scale farmers after pandemic crisis
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Cimino, Antonio, Longo, Francesco, Solina, Vittorio, and Verteramo, Saverino
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- 2024
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3. Circulating anti-hypothalamus antibodies in celiac patients: tissue transglutaminase friend or foe?
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Iervasi, Erika, Strangio, Antonella, Greco, Luigi, Auricchio, Renata, and Saverino, Daniele
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- 2023
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4. Thrive during a crisis: the role of digital technologies in fostering antifragility in small and medium-sized enterprises
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Corvello, Vincenzo, Verteramo, Saverino, Nocella, Isabella, and Ammirato, Salvatore
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- 2023
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5. The Anatomia Universa (1823) of Paolo Mascagni (1755–1815): The memory of a masterpiece in the history of anatomy after two centuries
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Davide Orsini, Daniele Saverino, and Mariano Martini
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Anatomia Universa ,Paolo Mascagni ,History of anatomy ,Innovative approach ,Medical education ,Human anatomy ,QM1-695 - Abstract
Two hundred years ago, the first of the nine volumes of Paolo Mascagni's Anatomia universa was published posthumously. This work was the fruit of a project that preoccupied Mascagni for most of his life: the Atlas of anatomy, which was the perfect replica on paper of the dissection, a fundamental part of the teaching of this discipline.Mascagni's treatises testify to the modernity of his approach to medical education, and his deep conviction that the main objective was to educate young people and to enable them to acquire the most perfect knowledge of the structure of the human body.
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- 2024
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6. Spatial transcriptomics unravels palmitoylation and zonation-dependent gene regulation by AEG-1 in mouse liver
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Saverino, Alissa, Qu, Xufeng, Mendoza, Rachel G., Raha, Suchismita, Manna, Debashri, Ermi, Ali Gawi, Subler, Mark A., Windle, Jolene J., Liu, Jinze, and Sarkar, Devanand
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- 2024
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7. An ontology-based, general-purpose and Industry 4.0-ready architecture for supporting the smart operator (Part II – Virtual Reality case)
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Cimino, Antonio, Longo, Francesco, Mirabelli, Giovanni, Solina, Vittorio, and Verteramo, Saverino
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- 2024
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8. Organizing an Innovation Ecosystem by Integrating Customers and Start-Ups: The NTT-Data Open Innovation Contest Case.
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Saverino Verteramo, Deborah Raffaele, and Vincenzo Corvello
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- 2023
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9. Antifragility in Innovative Start-Ups: Resources, Relationships, People
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Corvello, Vincenzo, Montefresco, Serafina, Verteramo, Saverino, Visvizi, Anna, editor, Troisi, Orlando, editor, and Grimaldi, Mara, editor
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- 2023
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10. Acute appendicitis and situs viscerum inversus: radiological and surgical approach—a systematic review
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Di Buono, Giuseppe, Buscemi, Salvatore, Galia, Massimo, Maienza, Elisa, Amato, Giuseppe, Bonventre, Giulia, Vella, Roberta, Saverino, Marta, Grassedonio, Emanuele, Romano, Giorgio, and Agrusa, Antonino
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- 2023
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11. Turning crises into opportunities in the service sector: how to build antifragility in small and medium service enterprises
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Corvello, Vincenzo, Verteramo, Saverino, and Giglio, Carlo
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- 2023
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12. Fundamental disincorporation and early non-inflammatory microglia alterations: Possible bridging phenomena between neurobiology and psychopathology in schizophrenia
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Magnani, L., Fusar-Poli, L., Parise, A., Nguyen, K.D., Saverino, D., and Costanza, A.
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- 2023
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13. SDR-based passive radar technology
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Capria, Amerigo, primary, Saverino, Anna Lisa, additional, Giusti, Elisa, additional, and Martorella, Marco, additional
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- 2023
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14. Thrive during a crisis: the role of digital technologies in fostering antifragility in small and medium-sized enterprises.
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Vincenzo Corvello, Saverino Verteramo, Isabella Nocella, and Salvatore Ammirato
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- 2023
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15. Acute appendicitis and situs viscerum inversus: radiological and surgical approach—a systematic review
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Giuseppe Di Buono, Salvatore Buscemi, Massimo Galia, Elisa Maienza, Giuseppe Amato, Giulia Bonventre, Roberta Vella, Marta Saverino, Emanuele Grassedonio, Giorgio Romano, and Antonino Agrusa
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Acute appendicitis ,Situs viscerum inversus ,Midgut malrotation ,Kartagener syndrome ,Laparoscopic appendectomy ,Medicine - Abstract
Abstract Introduction Acute appendicitis is one of the most frequent intra-abdominal diseases requiring emergency surgical consult and treatment. The diagnosis of this condition is based on clinical features and radiologic findings. One-third of patients with acute appendicitis present unusual symptoms. There are several circumstances that may cause misdiagnosis and unclear prognostic prediction. Among these, situs viscerum inversus totalis and midgut malrotation can be challenging scenarios, leading to a delay in treatment, especially when these conditions are unknown. We decided to carry on a systematic review of published cases of acute appendicitis in the context of anatomical anomalies. Methods We used the MESH terms “appendicitis” AND “situs inversus” AND/OR “gut malrotation” to search for titles and abstracts. Inclusion criteria were patients with clinical and/or radiological diagnosis of acute appendicitis, with conservative or surgical management and with preoperative/intraoperative findings of situs viscerum inversus or gut malrotation. Additionally, previous reviews were examined. Exclusion criteria of the studies were insufficient patient clinical and demographic data. Results We included in this review 70 articles concerning 73 cases of acute appendicitis with anatomical anomaly. Patients were aged from 8 to 86 years (median: 27.0 years). 50 were male and 23 were female. 46 patients (63%) had situs viscerum inversus, 24 (33%) had midgut malrotation, 2 (2.7%) had Kartagener’s syndrome, one of them (1.4%) had an undetermined anomaly In 61 patients the anatomical anomaly was unknown previously (83.6%), while 16,4% already were aware of their condition. Conclusion Acute appendicitis can occur in association of rare anatomical anomalies and in these cases diagnosis can be challenging. Situs viscerum inversus and midgut malrotation should always be considered in the differential diagnosis of a patient with left lower quadrant pain, especially in younger population. Besides clinical features, it is fundamental to implement the diagnostic progress with radiological examination. Laparoscopic approach is useful to identify and treat acute surgical emergency and it is also a diagnostic tool and can be tailored in order to offer the best exposition of the operatory field for each single case.
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- 2023
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16. Anti-hypothalamus autoantibodies in anorexia nervosa: a possible new mechanism in neuro-physiological derangement?
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Escelsior, Andrea, Cogorno, Ludovica, Sukkar, Samir G., Amerio, Andrea, Donini, Lorenzo M., Bellomo, Marina, Iervasi, Erika, Amore, Mario, and Saverino, Daniele
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- 2022
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17. Antifragility in Innovative Start-Ups: Resources, Relationships, People
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Corvello, Vincenzo, primary, Montefresco, Serafina, additional, and Verteramo, Saverino, additional
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- 2023
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18. Antifragility in Innovative Start-Ups: Resources, Relationships, People.
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Vincenzo Corvello, Serafina Montefresco, and Saverino Verteramo
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- 2022
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19. The digital transformation of entrepreneurial work
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Corvello, Vincenzo, De Carolis, Monica, Verteramo, Saverino, and Steiber, Annika
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- 2022
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20. The Toronto Concussion Study: a prospective investigation of characteristics in a cohort of adults from the general population seeking care following acute concussion, 2016–2020
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Paul Comper, Evan Foster, Tharshini Chandra, Laura Langer, Catherine Wiseman-Hakes, George Mochizuki, Lesley Ruttan, David W. Lawrence, Elizabeth L. Inness, Jonathan Gladstone, Cristina Saverino, Alan Tam, Alice Kam, Firas Al-Rawi, and Mark Theodore Bayley
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acute concussion ,mild TBI ,sex differences ,characteristics ,symptom reporting ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
PurposeThere is limited research regarding the characteristics of those from the general population who seek care following acute concussion.MethodsTo address this gap, a large cohort of 473 adults diagnosed with an acute concussion (female participants = 287; male participants = 186) was followed using objective measures prospectively over 16 weeks beginning at a mean of 5.1 days post-injury.ResultsFalls were the most common mechanism of injury (MOI) (n = 137, 29.0%), followed by sports-related recreation (n = 119, 25.2%). Male participants were more likely to be injured playing recreational sports or in a violence-related incident; female participants were more likely to be injured by falling. Post-traumatic amnesia (PTA) was reported by 80 participants (16.9 %), and loss of consciousness (LOC) was reported by 110 (23.3%). In total, 54 participants (11.4%) reported both PTA and LOC. Male participants had significantly higher rates of PTA and LOC after their injury compared to their female counterparts. Higher initial symptom burden was associated with a longer duration of recovery for both male and female participants. Female participants had more symptoms and higher severity of symptoms at presentation compared to male participants. Female participants were identified to have a longer recovery duration, with a mean survival time of 6.50 weeks compared to 5.45 weeks in male participants (p < 0.0001). A relatively high proportion of female and male participants in this study reported premorbid diagnoses of depression and anxiety compared to general population characteristics.ConclusionAlthough premorbid diagnoses of depression and/or anxiety were associated with higher symptom burden at the initial visit, the duration of symptoms was not directly associated with a pre-injury history of psychological/psychiatric disturbance. This cohort of adults, from the general population, seeking care for their acute concussion attained clinical and functional recovery over a period of 4–12 weeks.
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- 2023
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21. Italians in Public Memory
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Saverino, Joan L., primary
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- 2022
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22. Natural History of Drusenoid Pigment Epithelial Detachment Associated with Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report No. 17
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Yu, Jeannette J, Agrón, Elvira, Clemons, Traci E, Domalpally, Amitha, van Asten, Freekje, Keenan, Tiarnan D, Cukras, Catherine, Chew, Emily Y, Ferris, Frederick L, SanGiovanni, John Paul, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P, Davis, Matthew, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D, Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J, Capone, Antonio, Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R, Hassan, Tarek S, Trese, Michael, Williams, George A, Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J, Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T, Hwang, Thomas J, Lauer, Andreas, Stout, J Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B, Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, and Callahan, Charleen
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Prevention ,Clinical Research ,Neurodegenerative ,Clinical Trials and Supportive Activities ,Eye Disease and Disorders of Vision ,Macular Degeneration ,Aging ,Genetics ,Eye ,Aged ,Aged ,80 and over ,Disease Progression ,Female ,Follow-Up Studies ,Genetic Predisposition to Disease ,Humans ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Prospective Studies ,Proteins ,Retinal Detachment ,Retinal Drusen ,Retinal Pigment Epithelium ,Retrospective Studies ,Time Factors ,Visual Acuity ,Age-Related Eye Disease Study 2 Research Group ,Clinical Sciences ,Opthalmology and Optometry ,Public Health and Health Services ,Ophthalmology & Optometry - Abstract
PurposeTo investigate the natural history and genetic associations of drusenoid pigment epithelial detachment (DPED) associated with age-related macular degeneration (AMD).DesignRetrospective analysis of a prospective cohort study.ParticipantsOf the 4203 Age-Related Eye Disease Study 2 (AREDS2) participants, 391 eyes (325 participants) had DPED without late AMD at the time of DPED detection. Genetic analyses included 120 white AREDS2 participants and 145 Age-Related Eye Disease Study (AREDS) participants with DPED.MethodsBaseline and annual stereoscopic fundus photographs were graded centrally to detect DPED, a well-defined yellow elevated mound of confluent drusen ≥433 μm in diameter, and to evaluate progression rates to late AMD: geographic atrophy (GA) and neovascular (NV)-AMD. Five single nucleotide polymorphisms (CFH [rs10611670], C3 [rs2230199], CFI [rs10033900], C2/CFB [rs114254831], ARMS2 [rs10490924]) and genetic risk score (GRS) group were investigated for association with DPED development. Kaplan-Meier analyses and multivariable proportional hazard regressions were performed.Main outcome measuresProgression rates to late AMD and decrease of ≥3 lines in visual acuity (VA) from the time of DPED detection; association of rate of DPED development with genotype.ResultsMean (standard deviation [SD]) follow-up time from DPED detection was 4.7 (0.9) years. DPED was associated with increased risk of progression to late AMD (hazard ratio [HR], 2.36; 95% confidence interval [CI], 1.98-2.82; P < 0.001); 67% of eyes progressed to late AMD 5 years after DPED detection. Drusenoid pigment epithelial detachment was associated with increased risk of ≥3 lines of VA loss (HR, 3.08; CI, 2.41-3.93; P < 0.001) with 46% of eyes experiencing vision loss at 5 years (with or without progression to late AMD). ARMS2 risk alleles (1 vs. 0: HR, 2.72, CI, 1.58-4.70; 2 vs. 0: HR, 3.16, CI, 1.60-6.21, P < 0.001) and increasing GRS group (4 vs. 1) (HR, 12.17, CI, 3.66-40.45, P < 0.001) were significantly associated with DPED development in AREDS. There were no significant genetic results in AREDS2.ConclusionsThis study replicates the results of previous natural history studies of eyes with DPED including the high rates of progression to late AMD and vision loss (regardless of progression to late AMD). The genetic associations are consistent with genes associated with AMD progression.
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- 2019
23. Divergent neural and endocrine responses in wild-caught and laboratory-bred Rattus norvegicus
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Jacob, Joanna, Watanabe, Sally, Richardson, Jonathan, Gonzales, Nick, Ploppert, Emily, Lahvis, Garet, Shiels, Aaron, Wenger, Sadie, Saverino, Kelly, Bhalerao, Janhavi, Crockett, Brendan, Burns, Erin, Harding, Olivia, Fischer-Stenger, Krista, and Lambert, Kelly
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- 2022
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24. Diagnostic performance and comparison of ultrasensitive and conventional rapid diagnostic test, thick blood smear and quantitative PCR for detection of low-density Plasmodium falciparum infections during a controlled human malaria infection study in Equatorial Guinea
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Maxmillian Mpina, Thomas C. Stabler, Tobias Schindler, Jose Raso, Anna Deal, Ludmila Acuche Pupu, Elizabeth Nyakarungu, Maria del Carmen Ovono Davis, Vicente Urbano, Ali Mtoro, Ali Hamad, Maria Silvia A. Lopez, Beltran Pasialo, Marta Alene Owono Eyang, Matilde Riloha Rivas, Carlos Cortes Falla, Guillermo A. García, Juan Carlos Momo, Raul Chuquiyauri, Elizabeth Saverino, L. W. Preston Church, B. Kim lee Sim, Bonifacio Manguire, Marcel Tanner, Carl Maas, Salim Abdulla, Peter F. Billingsley, Stephen L. Hoffman, Said Jongo, Thomas L. Richie, and Claudia A. Daubenberger
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Malaria ,Rapid diagnostic test ,Controlled human malaria infection ,Thick blood smear ,Low parasite density infections ,Malaria pre-exposure ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Progress towards malaria elimination has stagnated, partly because infections persisting at low parasite densities comprise a large reservoir contributing to ongoing malaria transmission and are difficult to detect. This study compared the performance of an ultrasensitive rapid diagnostic test (uRDT) designed to detect low density infections to a conventional RDT (cRDT), expert microscopy using Giemsa-stained thick blood smears (TBS), and quantitative polymerase chain reaction (qPCR) during a controlled human malaria infection (CHMI) study conducted in malaria exposed adults (NCT03590340). Methods Blood samples were collected from healthy Equatoguineans aged 18–35 years beginning on day 8 after CHMI with 3.2 × 103 cryopreserved, infectious Plasmodium falciparum sporozoites (PfSPZ Challenge, strain NF54) administered by direct venous inoculation. qPCR (18s ribosomal DNA), uRDT (Alere™ Malaria Ag P.f.), cRDT [Carestart Malaria Pf/PAN (PfHRP2/pLDH)], and TBS were performed daily until the volunteer became TBS positive and treatment was administered. qPCR was the reference for the presence of Plasmodium falciparum parasites. Results 279 samples were collected from 24 participants; 123 were positive by qPCR. TBS detected 24/123 (19.5% sensitivity [95% CI 13.1–27.8%]), uRDT 21/123 (17.1% sensitivity [95% CI 11.1–25.1%]), cRDT 10/123 (8.1% sensitivity [95% CI 4.2–14.8%]); all were 100% specific and did not detect any positive samples not detected by qPCR. TBS and uRDT were more sensitive than cRDT (TBS vs. cRDT p = 0.015; uRDT vs. cRDT p = 0.053), detecting parasitaemias as low as 3.7 parasites/µL (p/µL) (TBS and uRDT) compared to 5.6 p/µL (cRDT) based on TBS density measurements. TBS, uRDT and cRDT did not detect any of the 70/123 samples positive by qPCR below 5.86 p/µL, the qPCR density corresponding to 3.7 p/µL by TBS. The median prepatent periods in days (ranges) were 14.5 (10–20), 18.0 (15–28), 18.0 (15–20) and 18.0 (16–24) for qPCR, TBS, uRDT and cRDT, respectively; qPCR detected parasitaemia significantly earlier (3.5 days) than the other tests. Conclusions TBS and uRDT had similar sensitivities, both were more sensitive than cRDT, and neither matched qPCR for detecting low density parasitaemia. uRDT could be considered an alternative to TBS in selected applications, such as CHMI or field diagnosis, where qualitative, dichotomous results for malaria infection might be sufficient.
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- 2022
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25. Progression of Geographic Atrophy in Age-related Macular Degeneration AREDS2 Report Number 16
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Keenan, Tiarnan D, Agrón, Elvira, Domalpally, Amitha, Clemons, Traci E, van Asten, Freekje, Wong, Wai T, Danis, Ronald G, Sadda, SriniVas, Rosenfeld, Philip J, Klein, Michael L, Ratnapriya, Rinki, Swaroop, Anand, Ferris, Frederick L, Chew, Emily Y, SanGiovanni, John Paul, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P, Davis, Matthew, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D, Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J, Capone, Antonio, Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R, Hassan, Tarek S, Trese, Michael, Williams, George A, Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J, Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T, Hwang, Thomas J, Lauer, Andreas, Stout, J Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B, Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, and Houlihan, Patricia
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Prevention ,Genetics ,Neurodegenerative ,Aging ,Eye Disease and Disorders of Vision ,Macular Degeneration ,Eye ,Aged ,Aged ,80 and over ,Disease Progression ,Docosahexaenoic Acids ,Drug Therapy ,Combination ,Eicosapentaenoic Acid ,Female ,Geographic Atrophy ,Humans ,Lutein ,Male ,Middle Aged ,Photography ,Prospective Studies ,Visual Acuity ,Zeaxanthins ,AREDS2 Research Group ,Clinical Sciences ,Opthalmology and Optometry ,Public Health and Health Services ,Ophthalmology & Optometry - Abstract
PurposeTo analyze the prevalence, incidence, and clinical characteristics of eyes with geographic atrophy (GA) in age-related macular degeneration (AMD), including clinical and genetic factors affecting enlargement.DesignProspective cohort study within a controlled clinical trial.ParticipantsAge-Related Eye Disease Study 2 (AREDS2) participants, aged 50-85 years.MethodsBaseline and annual stereoscopic color fundus photographs were evaluated for GA presence and area. Analyses included GA prevalence and incidence rates, Kaplan-Meier rates, mixed-model regression, and multivariable analysis of the square root of GA, area adjusted for covariates, including clinical/imaging characteristics and genotype.Main outcome measures(1) Presence or development of GA; (2) change in the square root of GA area over time.ResultsAt baseline, 517 eyes (6.2%) of 411 participants (9.8%) had pre-existing GA (without neovascular AMD), with the following characteristics: 33% central, 67% noncentral; and the following configurations: 36% small, 26% solid/unifocal, 24% multifocal, 9% horseshoe/ring, and 6% indeterminate. Of the remaining 6530 eyes at risk, 1099 eyes (17.3%) of 883 participants developed incident GA without prior neovascular disease during mean follow-up of 4.4 years. The Kaplan-Meier rate of incident GA was 19% of eyes at 5 years. In eyes with incident GA, 4-year risk of subsequent neovascular AMD was 29%. In eyes with incident noncentral GA, 4-year risk of central involvement was 57%. GA enlargement rate (following square root transformation) was similar in eyes with pre-existing GA (0.29 mm/year; 95% confidence interval 0.27-0.30) and incident GA (0.28 mm/year; 0.27-0.30). In the combined group, GA enlargement was significantly faster with noncentrality, multifocality, intermediate baseline size, and bilateral GA (P < 0.0001 for interaction in each case) but not with AREDS2 treatment assignment (P = 0.33) or smoking status (P = 0.05). Enlargement was significantly faster with ARMS2 risk (P < 0.0001), C3 non-risk (P = 0.0002), and APOE non-risk (P = 0.001) genotypes.ConclusionsAnalyses of AREDS2 data on natural history of GA provide representative data on GA evolution and enlargement. GA enlargement, which was influenced by lesion features, was relentless, resulting in rapid central vision loss. The genetic variants associated with faster enlargement were partially distinct from those associated with risk of incident GA. These findings are relevant to further investigations of GA pathogenesis and clinical trial planning.
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- 2018
26. Diagnostic performance and comparison of ultrasensitive and conventional rapid diagnostic test, thick blood smear and quantitative PCR for detection of low-density Plasmodium falciparum infections during a controlled human malaria infection study in Equatorial Guinea
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Mpina, Maxmillian, Stabler, Thomas C., Schindler, Tobias, Raso, Jose, Deal, Anna, Acuche Pupu, Ludmila, Nyakarungu, Elizabeth, del Carmen Ovono Davis, Maria, Urbano, Vicente, Mtoro, Ali, Hamad, Ali, Lopez, Maria Silvia A., Pasialo, Beltran, Eyang, Marta Alene Owono, Rivas, Matilde Riloha, Falla, Carlos Cortes, García, Guillermo A., Momo, Juan Carlos, Chuquiyauri, Raul, Saverino, Elizabeth, Preston Church, L. W., Kim lee Sim, B., Manguire, Bonifacio, Tanner, Marcel, Maas, Carl, Abdulla, Salim, Billingsley, Peter F., Hoffman, Stephen L., Jongo, Said, Richie, Thomas L., and Daubenberger, Claudia A.
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- 2022
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27. The Anatomia Universa (1823) of Paolo Mascagni (1755–1815): The memory of a masterpiece in the history of anatomy after two centuries
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Orsini, Davide, primary, Saverino, Daniele, additional, and Martini, Mariano, additional
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- 2024
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28. Identification of New Biomarkers in Diabetic Distal Symmetrical Polyneuropathy with Conduction Slowing: A Prospective Proteomics Analysis (P8-11.003)
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Jaffry, Kazim, primary, Saverino, Kelly, additional, Wardell, Joseph, additional, Philip, Belinda, additional, Pahwa, Ankit, additional, Menkes, Daniel, additional, Chong, Zhao Zhong, additional, and Souayah, Nizar, additional
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- 2024
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29. Lipidomic Biomarkers in Diabetic Distal Symmetrical Polyneuropathy with Conduction Slowing (P8-11.015)
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Wardell, Joseph, primary, Chong, Zhao Zhong, additional, Saverino, Kelly, additional, Jaffry, Kazim, additional, Philip, Belinda, additional, Patel, Tejas, additional, Nasar, Abu, additional, Pahwa, Ankit, additional, Menkes, Daniel, additional, and Souayah, Nizar, additional
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- 2024
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30. Clinical and Biological Markers of Conduction Slowing in Diabetic Distal Symmetrical Polyneuropathy: A Prospective Study (P8-11.012)
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Saverino, Kelly, primary, Wardell, Joseph, additional, Jaffry, Kazim, additional, Jaffry, Mustafa, additional, Islam, Suhayb, additional, Menkes, Daniel, additional, and Souayah, Nizar, additional
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- 2024
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31. Is There an Association Between Serum Neurofilament Light Chain Levels and Conduction Slowing in Type 2 Diabetic Distal Symmetrical Polyneuropathy? (P3-4.003)
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Wardell, Joseph, primary, Saverino, Kelly, additional, Philip, Belinda, additional, Jaffry, Kazim, additional, Pahwa, Ankit, additional, Menkes, Daniel, additional, Chong, Zhao Zhong, additional, and Souayah, Nizar, additional
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- 2024
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32. Regression Equation Analysis Enhances Detection of Conduction Slowing Beyond Exclusive Axonal Loss in Diabetic Distal Symmetrical Polyneuropathy (P1-11.012)
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Saverino, Kelly, primary, Chong, Zhao Zhong, additional, Wardell, Joseph, additional, Jaffry, Kazim, additional, Patel, Tejas, additional, Nasar, Abu, additional, Pahwa, Ankit, additional, Sander, Howard, additional, and Souayah, Nizar, additional
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- 2024
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33. Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
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Mateen, Bilal A., Bussas, Matthias, Doogan, Catherine, Waller, Denise, Saverino, Alessia, Király, Franz J, and Playford, E Diane
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Computer Science - Computers and Society ,Computer Science - Machine Learning - Abstract
Background Information: Falls are associated with high direct and indirect costs, and significant morbidity and mortality for patients. Pathological falls are usually a result of a compromised motor system, and/or cognition. Very little research has been conducted on predicting falls based on this premise. Aims: To demonstrate that cognitive and motor tests can be used to create a robust predictive tool for falls. Methods: Three tests of attention and executive function (Stroop, Trail Making, and Semantic Fluency), a measure of physical function (Walk-12), a series of questions (concerning recent falls, surgery and physical function) and demographic information were collected from a cohort of 323 patients at a tertiary neurological center. The principal outcome was a fall during the in-patient stay (n = 54). Data-driven, predictive modelling was employed to identify the statistical modelling strategies which are most accurate in predicting falls, and which yield the most parsimonious models of clinical relevance. Results: The Trail test was identified as the best predictor of falls. Moreover, addition of any others variables, to the results of the Trail test did not improve the prediction (Wilcoxon signed-rank p < .001). The best statistical strategy for predicting falls was the random forest (Wilcoxon signed-rank p < .001), based solely on results of the Trail test. Tuning of the model results in the following optimized values: 68% (+- 7.7) sensitivity, 90% (+- 2.3) specificity, with a positive predictive value of 60%, when the relevant data is available. Conclusion: Predictive modelling has identified a simple yet powerful machine learning prediction strategy based on a single clinical test, the Trail test. Predictive evaluation shows this strategy to be robust, suggesting predictive modelling and machine learning as the standard for future predictive tools.
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- 2016
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34. Critical infrastructure protection system design based on SCOUT multitech seCurity system for intercOnnected space control groUnd staTions
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Cantelli-Forti, Alessandro, Capria, Amerigo, Saverino, Anna Lisa, Berizzi, Fabrizio, Adami, Davide, and Callegari, Christian
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- 2021
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35. Effects of winter sea bathing on psychoneuroendocrinoimmunological parameters
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Demori, Ilaria, Piccinno, Tommaso, Saverino, Daniele, Luzzo, Erika, Ottoboni, Stefano, Serpico, Davide, Chiera, Marco, and Giuria, Roberto
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- 2021
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36. Totally laparoscopic treatment of intestinal tuberculosis complicated with bowel perforation: The first case report in worldwide literature with a brief review
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Giuseppe Di Buono, Roberta Vella, Giuseppe Amato, Giorgio Romano, Vito Rodolico, Marta Saverino, Giovanni De Lisi, Salvatore Buscemi, and Antonino Agrusa
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peritonitis ,abdominal tuberculosis ,bowel perforation ,laparoscopy ,intracorporeal anastomosis ,Surgery ,RD1-811 - Abstract
IntroductionBowel perforation is a relatively rare presentation of abdominal tuberculosis, whose diagnosis is challenging but fundamental to minimize morbidity and mortality. Laparoscopy is considered an effective modality for diagnosis, but its role in surgical treatment is still not established. We reported the first worldwide case of totally laparoscopic treatment of intestinal tuberculosis complicated with bowel perforation.Case presentationA 30-year-old man with a history of weight loss, preceded by 2 years of nonproductive cough, was admitted to the Infectious Disease Department with a presumed diagnosis of tuberculosis. A microbiological culture test confirmed the diagnosis, and the patient undertook quadruple antituberculous therapy. During hospitalization, he presented sudden abdominal pain, fever, and vomit. An abdominal CT scan showed small bowel perforation with granulomatous reaction. Laparoscopy was performed and revealed a 2 cm perforation on the medium ileum. Small bowel resection and totally intracorporeal side-to-side anastomosis were performed. No complication occurred until a clinical follow-up of 2 months.ConclusionIn consideration of the increasing incidence of intestinal TB in both underdeveloped and Western countries, the diagnosis of this pathology should be taken into account in high-risk patients. Probably, the diagnostic challenges and emergency settings of intestinal TB with perforation and peritonitis, together with the lack of standardized guidelines regarding surgical management, make the use of laparoscopy apparently arduous, but the known advantages of laparoscopy and its technical feasibility should make it a conceivable option for the treatment of complicated cases.
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- 2022
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37. The Lonely Girl. External Factors in the Conversion and Failed Ransom of the Turkish–Algerian Fatima (1608–1622)
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Bruno Pomara Saverino
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conversion narratives ,psychology of religious conversion ,female conversion ,forced baptism ,slavery ,ransom ,Religions. Mythology. Rationalism ,BL1-2790 - Abstract
Research into various aspects of slavery and the related conversions has multiplied in recent years. This contribution investigates the case of Fatima, a young woman belonging to the Turkish–Algerian elite, who was captured in 1608 by the Tuscan Knights of Saint Stephen. Rescued by her parents and entrusted to some Corsican merchants for her safe return home, she remained in Calvi (Corsica) because she embraced Christianity. Thus, the local bishop pretended to keep her under his protection. Because of her conversion, her homecoming became considerably more complicated until it was decreed impracticable. The intervention of Fatima’s parents led to the opening of protracted negotiations between the political (Algerian, Ottoman, Spanish, Genoese) and ecclesiastical (Papal, Episcopal, Trinitarian) authorities. In dissatisfaction, the Algerian governors lashed out at one hundred and thirty Christian captives in Algiers whose rescue operation by Trinitarian redeemers was suddenly halted. Historiography, to narrate this case study, has paid attention predominantly to Spanish records and explained the political and economic mechanisms of the rescue machine with all its complications. Through other unpublished Spanish, Vatican and Genoese sources, this article focuses with a micro-glocal lens on the many psychological pressures used by political and religious agencies that accompanied such a young person by leveraging the decisive role of the Ecclesiastical authorities.
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- 2023
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38. The use of new technologies for corporate marketing communication in luxury retailing : Preliminary findings
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Passavanti, Rosanna, Pantano, Eleonora, Priporas, Constantinos Vasilios, and Verteramo, Saverino
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- 2020
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39. An integrated methodology for supporting the development and the performance evaluation of academic spin-offs
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Iazzolino, Gianpaolo, Greco, Domenico, Verteramo, Saverino, Attanasio, Andrea Luca, Carravetta, Gilda, and Granato, Teresa
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- 2020
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40. Zoledronate decreases CTLA-4 in vivo and in vitro independently of its action on bone resorption
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Giusti, Andrea, Camellino, Dario, Saverino, Daniele, Iervasi, Erika, Girasole, Giuseppe, Bianchi, Gerolamo, and Papapoulos, Socrates E.
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- 2020
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41. Autoimmune Addison's disease
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Saverino, Serena and Falorni, Alberto
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- 2020
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42. On the arrival of Moriscos in Italy. A dialogue between history and some categories
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Bruno Pomara Saverino
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diaspora ,mobility ,refugees ,Moriscos ,translocality ,Colonies and colonization. Emigration and immigration. International migration ,JV1-9480 - Abstract
Expelled from the Spanish kingdoms between 1609 and 1614, more than 300,000 Moriscos gave rise to provisional and definitive settlements in the Mediterranean basin. The author intends to shed light on the dispersion of this minority with the aim of making their tragic story dialogue with some categories debated by the social sciences: refugees, diaspora, identity, foreigners, mobility and translocality. With their complex and particular political situation, the Italian princedoms and kingdoms of the 17th century are the chosen laboratory to explain some theses and illustrate the fate of an ethnic group already judged by the Spanish Monarchs to be composed of “dangerous Crypto-Muslims”.
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- 2020
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43. Serum IL-21 levels from celiac disease patients correlates with anti-tTG IgA autoantibodies and mucosal damage
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Erika Iervasi, Renata Auricchio, Antonella Strangio, Luigi Greco, and Daniele Saverino
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autoimmunity ,coeliac disease ,serum il-21 ,Internal medicine ,RC31-1245 - Abstract
Objectives: Coeliac disease is a multifactorial disorder influenced by environmental, genetic and immunological factors. Interleukin (IL)-21 has been linked to an increase disease risk and the serum level of IL-21 seems to be increased in CD compared to a healthy control population. Methods: Sera were collected from 160 CD patients, 120 untreated and 40 following a gluten-free diet, and form 45 healthy subjects. Serum IL-21 was evaluated by specific ELISA tests. Results: Our data show that patients with untreated CD display IL-21 concentrations significantly higher than both treated-CD patients (following a gluten-free diet) and controls. In addition, serum IL-21 correlates with serum titres of anti-tTG IgA autoantibodies. Finally, our results show a correlation of this cytokine with duodenal mucosal damage. Conclusions: A role of gluten, as antigen with stimulatory function on IL-21 production, seems to be confirmed by the longitudinal analyses showing that the gluten-free diet decreases to a nearly undetectable amount this cytokine. In addition, the finding of a positive correlation between the serum amount of IL-21 and the grade of duodenal mucosa damage suggests a strong immunomodulatory effect of this cytokine on cytotoxic T lymphocyte functions. This study provides an extra evidence to emerging data on the potential role IL-21 in CD pathogenesis, suggesting its involvement in the development and progression of CD. Significance statement: In untreated CD, serum IL-21 shows higher levels compared with treated CD and healthy subjects. Serum amounts of IL-21 correlate with anti-tTG IgA autoantibodies and with duodenal mucosa damage.
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- 2020
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44. Can Sport Concussion Assessment Tool (SCAT) Symptom Scores Be Converted to Rivermead Post-concussion Symptoms Questionnaire (RPQ) Scores and Vice Versa? Findings From the Toronto Concussion Study
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Laura Kathleen Langer, Paul Comper, Lesley Ruttan, Cristina Saverino, Seyed Mohammad Alavinia, Elizabeth L. Inness, Alice Kam, David W. Lawrence, Alan Tam, Tharshini Chandra, Evan Foster, and Mark T. Bayley
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concussion ,Sport Concussion Assessment Tool (SCAT5) ,Rivermead Post-concussion Questionnaire ,conversion equation ,mild traumatic brain injuries ,sports related concussion ,Sports ,GV557-1198.995 - Abstract
Background: The Rivermead Post-Concussion Symptoms Questionnaire (RPQ) and the Sports Concussion Assessment Tool (SCAT) are widely used self-report tools assessing the type, number, and severity of concussion symptoms. There are overlapping symptoms and domains, though they are scored differently. The SCAT consists of 22 questions with a 7-point Likert scale for a total possible score 132. The RPQ has 16 questions and a 5-point Likert scale for a total of 64 possible points. Being able to convert between the two scores would facilitate comparison of results in the concussion literature.Objectives: To develop equations to convert scores on the SCAT to the RPQ and vice versa.Methods: Adults (17–85 years) diagnosed with a concussion at a referring emergency department were seen in the Hull-Ellis Concussion and Research Clinic, a rapid access concussion clinic at Toronto Rehab–University Health Network (UHN) Toronto Canada, within 7 days of injury. The RPQ and SCAT symptom checklists as well as demographic questionnaires were administered to all participants at Weeks 1, 2, 3, 4, 5, 6, 7, 8, 12, 16.Results: 215 participants had 1,168 matched RPQ and SCAT assessments. Total scores of the RPQ and the SCAT had a rho = 0.91 (p < 0.001); correlations were lower for sub-scores of specific symptom domains (range 0.74–0.87, p < 0.001 for all domain comparisons). An equation was derived to calculate SCAT scores using the number and severity of symptoms on the RPQ. Estimated scores were within 3 points of the observed total score on the SCAT. A second equation was derived to calculate the RPQ from the proportion weighted total score of the SCAT. This equation estimated corresponding scores within 3 points of the observed score on the RPQ.Conclusions: The RPQ and SCAT symptom checklists total scores are highly correlated and can be used to estimate the total score on the corresponding assessment. The symptom subdomains are also strongly correlated between the 2 scales however not as strongly correlated as the total score. The equations will enable researchers and clinicians to quickly convert between the scales and to directly compare concussion research findings.
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- 2021
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45. Natural History of Drusenoid Pigment Epithelial Detachment Associated with Age-Related Macular Degeneration: Age-Related Eye Disease Study 2 Report No. 17
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Chew, Emily Y., Ferris, Frederick L., III, SanGiovanni, John Paul, Agrón, Elvira, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P., Davis, Matthew, Domalpally, Amitha, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D., Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J., Capone, Antonio, Jr., Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R., Hassan, Tarek S., Trese, Michael, Williams, George A., Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J., Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T., Hwang, Thomas J., Lauer, Andreas, Stout, J. Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B., Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, Callahan, Charleen, Grillo, Marcia, Walsh, David, Zimmerman, Kamella Lau, Fish, Gary Edd, Anand, Rajiv, Coors, Lori E., Fuller, Dwain G., Spencer, Rand, Wang, Robert C., Duignan, Karen, Arceneaux, Sally, Aguado, Hank, Hesse, Nicholas, Mackens, Michael, Swan, Brian, Wong, Wai T., Cukras, Catherine, Dalal, Monica, Jacobs-El, Naima, Meyerle, Catherine, Nicholson, Benjamin, Wiley, Henry, Shimel, Katherine Hall, Garced, Angel, Oparah, Janice, Short, Greg, Temple, Alana, Ayukawa, Babilonia, Foster, Guy, Hayes, Darryl, Koutsandreas, Dessie, Nashwinter, Roula, Rowan, John, Bono, Michael, Cunningham, Denise, Palmer, Marilois, Zetina, Alicia, Orth, David H., Rezaei, Kourous, Civantos, Joseph, Hasan, Sohail, Packo, Kirk, Figliulo, Celeste, Stanberry, Pam, Farmer, Tara, Nelson, Kiersten, Townsend-Patrick, Shannya, Rosenfeld, Philip, Chen, Royce, Doshi, Rishi, Dubovy, Sander, Kim, Brian T., Lowrance, Matthew, Moshfeghi, Andrew, Nahas, Zayna, Schienbaum, Gary, Vishak, John, Weng, Christina, Yehoshua, Zohar, Rodriguez, Belen, Rebimbas, Jose, Gleichauf, Jane, Kicak, Mike, Mena, Jason, Odem, Tim, Sferza-Camp, Elizabeth, Disgdiertt, Alicia, Oramas, Jim, Rams, Isabel, Thatcher, Stephanie, Bressler, Susan B., Bressler, Neil M., Finkelstein, Daniel, Sherman, Steven H., Solomon, Sharon, Ying, Howard S., Denbow, Rita, Phillips, Deborah, Radcliffe, Elizabeth, Belt, Judy, Cain, Dennis, Emmert, David, Herring, Mark, McDonald, Jacquelyn, Hubbard, G. Baker, Bergstrom, Chris S., Cribbs, Blaine, Hendrick, Andrew, Johnson, Brandon, Laird, Philip, Mehta, Sonia, Olsen, Timothy, Townsend, Justin, Yan, Jion, Yeh, Steven, Curtis, Linda, Brower, Judy, Yi, Hannah, Dobbs, Jannah Rutter, Jordan, Debbie, Elman, Michael J., Liss, Robert A., Starr, JoAnn, Belz, Jennifer, Putzulo, Charlene, Coffey, Teresa, Davis, Ashley, Singletary, Pamela, Andreani, Giorya Shabi, Cain, Theresa, Ketner, Daniel, Sotirakos, Peter, Chandra, Suresh, Blodi, Barbara A., Altaweel, Michael M., Gottlieb, Justin L., Ip, Michael, Nork, T. Michael, Stevens, Thomas S., Burke, Kathryn, Olson, Shelly, Dietzman, Kristine, Soderling, Barbara, Somers, Guy, Wealti, Angie, Krolnik, Denise, Peterson, John, Reed, Sandra, Friberg, Thomas, Eller, Andrew, Gallagher, Denise, Labriola, Leanne, Pokrifka, Melissa, Gedansky, Aron, Anthony, Natalie, Grzybowski, Cassandra, Matthews, Dawn, Murajda-Jumba, Sharon, Toro, Jessica, Callanan, David G., Solley, Wayne A., Williams, Patrick, Lash, Sandy, Boleman, Bob, Dock, Chris, Shami, Michel, Arrington, Brenda, Meeks, Ashaki, Margherio, Alan R., Raphaelian, Paul, Markus, Debra, Langdon, Justin, Truax, Elizabeth, Lewis, Sandy, Terry, Brad, Noffke, Amy, Oh, Kean, Sarrafizadeh, Ramin, Sneed, Scott, Hammersley, Julie, Neal, Serena, Doran, Mary, Jones, Nan, Preston, Lisa, Jessick, Heather, Marsh, Tanya Tracy, Tolentino, Michael, Berger, Adam, Hamilton, Richard, Misch, David, Moon, Suk Jin, Sutherland, Dawn, Dilts, Vera, Henderson, Sara, Medina, Esmeralda, Trueman, Donald, Holm, Laura, Strickland, Jason, Ie, Darmakusuma, Lipkowitz, Jeffrey L., Shah, Kekul B., Geraghty, Susan, Sannazzaro, Beverly, Harper, Morgan, Bayer, Krista, Lansing, Mary B., Fox, Lauren B., Lee, Rebecca, Stallman, Jay B., Jacobson, Michael, Koh, Sean, Lampert, Scott, Miller, John, Rivellese, Mark, Sharma, Atul, Stoltz, Robert A., Vanderveldt, Stephanie, Marcus, Leslie, Hendricks, Starr, Hollman, Ryan, Betanzos, Grethel, Ellorin, Leslie, Fulbright, Shelly, McCormick, Debbie, Edwards, Paul A., Hall, Julianne, Monk, Mary, Gutkowski, Melanie, Mazurek, Melina, Murphy, Janet, Gusas, Katherine, Moffett, Crystal, Burley, David, Chesney, Nicole, Kilgo, Katie, Rusinek, Brian, Stern, Bradley, Troszak, Tracy, Baker-Levingston, Rhonda, Baker, Carl W., Caldwell, Tracey, Walker, Tammy, Lambert, Lynnette F., Martin, Tracey, Palmer, Mary Jill, Williams, Tana, Novak, Michael A., Coney, Joseph, Miller, David G., Pendergast, Scott, Singerman, Lawrence, Zakov, Nicholas, Zegarra, Hernando, DuBois, Kim, Rath, Susan, Revella, Lori, Brink, Tammy, Drury, Kim, Hogue, Lisa, Ilc, Mary, Keller, Connie, McNamara, Elizabeth, Tanner, Vivian, Cunningham, Tamara, DuBois, John, Greanoff, Gregg, Nitzsche, Trina, Smith-Brewer, Sheila, Isernhagen, Ricky D., Kitchens, John W., Stone, Thomas W., Wood, William J., Holcomb, Diana, Therrien, Virginia, Buck, Michelle, Van Arsdall, Jeanne, Slade, Edward, Schneiderman, Todd E., Spinak, David J., Gaedke, Jackie, Brown, Heather Davis, Helgren, Dan, Pangelinan, Jenifer Garrison, Halperin, Lawrence, Anagnoste, Scott, Dhalla, Mandeep, Rosenberg, Krista, Taney, Barry, Thompson, W. Scott, Lopez, Jaclyn, Hamlin, Monica, Lopez, Monica, Mariano, Jamie, Quinchia, Evelyn, Aramayo, Patricia, Veksler, Rita, Lee, Michael, Dreyer, Richard, Handelman, Irvin, Ma, Colin, Peters, Mark, Hobbs, Stephen, III, Milliron, Amanda, Kopfer, Marcia, Connaughton, Michele, Hoerner, A. Christine, Logan, R. Joseph, Wohlsein, Harry J., Boyer, David, Chu, Thomas G., Dayani, Pouya, Liao, David, Novack, Roger L., Rahhal, Firas M., Roe, Richard, Tabandeh, Homayoun, Bayramyan, Janet, Gasparyan, Tammy, Hoang, Connie, Kurokouchi, Janet, Lo, Tammy Eileen, Ngo, Richard, Nguyen, Mary Ann, Peyton, Michael, Yoon, Charles, Sierra, Julio, Zamboni, Adam, Kessinger, Jeff, Protacio, Eric, Smucker, Adam, Rath, Pamela, Bergren, Robert, Doft, Bernard, Liu, Judy, Olsen, Karl, Merlotti, Lori, Ingram, Willia, Marfisi, Kellianne, Yeckel, Kimberly, Carmelo, Heather Schultz, Fec, Amanda, McBroom, Keith, Steinberg, David, Levy, Marc, Abrams, Jody, Chen, Melvin, Torres, Waldemar, Jelemensky, Peggy, Prybylski, Mark, Raphael, Tara, Appleby, Diana, Rodman, Charlotte, Sneath, Mark, Rosa, Robert H., Jr., Hoelscher, Vanessa, Castano, Adelia, Parker, Jocelyn, Hoskins, John, Anderson, Nicholas, Googe, Joseph, Jr., McMillan, Tod A., Miller, James, Jr., Perkins, Stephen, Oliver, Kristina, Beerbower, Jennifer, Gilliland, Bruce, Hunt, Cecile, Jacobus, Mike, Lince, Raul, Morris, Christopher, Oelrich, Sarah, Whetstone, Jerry, Chan, Clement K., Lin, Steven, Walther, Kim, Gonzales, Tiana, Myers, Lenise, Huff, Kenneth, Brown, David M., Chen, Eric, Benz, Matthew S., Fish, Richard H., Kim, Rosa Y., Major, James, Jr., Wong, Tien Pei, Wycoff, Charles, Cone, Cassandra, Gilaspia, Debbie Goates, Landaverde, Nubia, Smith, Robert, Zamora, Deneva, Sneed, Veronica, Vela, Melina, Kegley, Eric, Greven, Craig, Kurup, Shree, Richards, Charles, Slusher, Madison, Everhart, Cara, Fish, Joan, Clark, Mark, Miller, David, Tyler, Marshall, Jumper, J. Michael, Fu, Arthur D., Johnson, Robert N., Lujan, Brandon, McDonald, H. Richard, Rodriguez, Rosa, Ansari, Nina, Joaquin, Jeanifer, Linares, Silvia, Lopez, Lizette, Sabio, Jessica, Grout, Sean, Indermill, Chad, Urias, Yesmin, Zimmerman, Roberto, Margulies, Linda, Schmidt, Sara J., Meier, Joy L., Hadley, Sherry L., Rosenthal, William, Johnson, Barbara, Swafford, Lois, Shields, Richard, Varner, R. Scott, Rosen, Richard, Gentile, Ronald, Rivas, Melissa, Tai, Katy W., Carrasquillo-Boyd, Wanda, Masini, Robert, Stoller, Glenn, Carnevale, Ken, LaRosa, Diane M., Burger, Barbara, Conway, Tereza, Del Castillo, Carla, Diaz, Julissa, Jones, Susan, Mondoc, Nina, Balfour, Charlene, Vitha, C.H., Lutz, Jennifer, McGinley, Barbara, El Baba, Fadi, Lavorna, Ann Marie, Jones, Renee, Lewis, Jean, Tenzler, Ruth, Salvas-Mladek, Mary, Van Kesteren, Diane, McLean, W. Copley, Jr., Bridges, W. Zachery, Jr., Stone, Cameron, Ammons, Denise, Lamy, Mary, Menzel, Andrea, Raymer, Lea Doll, Campbell, Barbara, Hawkins, Lisa, Rickman, Leslie, Sherlin, Lorraine, Price, Paula, Sinyai, Albert, Kingsley, Ronald, Bradford, Reagan H., Jr., Leonard, Robert E., II, Icks, Sonny, Bergman, Vanessa, Ross, Brittany, Burris, Russ, Butt, Amanda, Richmond, Rob, Lyon, Alice, Gill, Manjot, Jampol, Lee, Mizra, Rukhsana, Rozenbajgier, Zuzanna, Chapman, Jeremy, Kaminski, Lori, Degillio, Andrea, Simjanoski, Evica, Heier, Jeffrey, Cho, Hyung, Cleary, Tina Scheufele, Goldman, Darin, Shah, Chirag, Topping, Trexler, Weber, Marissa, Wiegand, Torsten, Schindelheim, Jeremy, Bankert, Joy, Stone, Jennifer, Nowak, Alison, Chong, Sandy, Williams, Lindsay, Bennett, Steven, Donovan, Dennis, Graham, Margaret, Jones, Cullen, Fung, Anne, Bayabo, Jan-Kristine, Bosch, Razelda, Cruz, Esperanza, Emerson, Ashley, Fleming, Alycia, Barsness, Denice, Rodriguez, Jorge, Soboleva, Marina, Scott, Ingrid U., Bowie, Esther, Neely, Kimberly A., Quillen, David A., Walter, Laura, Bennett, Timothy, Strong, James, Wells, John, III, Clark, Lloyd, Johnson, David, Miller, Peggy, Taylor, Mallie, Swinford, Tiffany, Spivey, Robbin, Banach, Michael, Ho, Lawrence, Lanning, Richard, Pheasant, Thomas R., Prensky, Jay G., Truong, Steven, Teatsworth, Julia, Dietrich, Michelle, Wasilus, Ann, Miller, Ann, Rakes, Megan, Slagle, Teresa, Richards, Michelle, Schuessler, Patricia, Stover, Lacy, Beer, Paul, Falk, Naomi S., Shannon, Mary Beth, Olmeda, Jeannie, Berdeen, Don, Fisher, Joseph F., Jr., Folk, James, Russell, Stephen, Taylor, Barbara, Hinz, Connie, Walshire, Jean, Stockman, Heather, Critser, Bruce, Karakas, Stefani, Montague, Cindy, Verdick, Randy, Gupta, Omesh, Maguire, Joseph, Brady, Christopher, DeCroos, Francis Char, Dollin, Michael, Garg, Sunir, Gerstenblith, Adam, Haller, Julia, Ho, Allen C., Hsu, Jason, Kaiser, Richard, Pitcher, John, Regillo, Carl, Shah, Rajiv, Spirn, Marc, Tasman, William, Vander, James, Senderowitsch, Noga, Formoso, Michele, Markun, Michelle, George, Cedric, Centinaro, Christina, Grande, Lisa, Carey, Stefanie, Liebenbaum, Elaine, Sadda, SriniVas, Humayun, Mark, Sierra, Rachel, Corona, Elizabeth, Padilla, Margaret, Nu, Moonseok, Ramos, Sylvia, Barnett, Cullen, Currie, Glenn, Gottlieb, Cornelia, Garfinkel, Richard, Berinstein, Daniel, Colyer, Marcus, Deegan, William, III, Min-Shyue Lai, Michael, Murphy, Robert, Osman, Michael, Rivers, Michael, Sanders, Reginald, von Fricken, Manfred A., Oliver, Debbie, Kirshon, Jeanne, Snowden, Tanya Alexander, Blondo, Thomas, Cronise, Alysia, Denny, Vanessa, Mendez, Kylie, Newgen, Janine, Davis, Justin, Flory, Mike, Frantz, Robert, Murphy, Bryan, Rauch, Steve, Kim, Judy E., Bachman, Jane, Connor, Thomas B., Jr., Han, Dennis P., Stepian, Kimberly, Weinberg, David V., Wirostko, William J., Packard, Krissa, Kaczanowski, Tracy, Williams, Vesper, Barwick, Vicki, Flanders, Judy, Backes, Dennis, Beringer, Joe, Keller, Kristy, Selchert, Kathy, Bernstein, Paul, Teske, Michael, Vitale, Albert, Allman, Susan, Carlstrom, Bonnie, Wegner, Kimberley, Haroldsen, Anne, Harrison, Deborah, Fry, Cyrie, Gilman, James, Jenkins, Glen, Morris, Paula, Rauser, Michael, Fan, Joseph, Suthar, Mukesh, Santiago, Gisela, Halsey, Kara Rollins, Quesada, Christy, Kiernan, William, Knabb, Jesse, Lewis, Richard Alan, Dorenbach, Cindy, Spencer, Steven, Barnett, Dana, Morales, Joseph, Fishburne, Barron C., Gross, Jeffrey G., Magee, Michael A., Flowers, Amy, McDowell, Angie, Price, Randall, Huang, Suber, Tang, Johnny, Wilker, Shawn, Hornsby, Cherie, Ferguson, Lisa, Krogstad, Kirk, Adamovsky, Riva, Allchin, Peggy, Carlton, Kathleen, Clow, Claudia, Sholtis, Kelly, Burke, Stephanie, Harrod, Mark, Hrvatin, Stacie, Pankhurst, Geoffrey, Sabates, Nelson R., Cassell, Michael, Desai, Komal, Poulose, Abraham, Sabates, Felix, Chen, Yin, Gallimore, Gary, Konior, Yolanda, Kim, Nicola, Uwaydat, Sami, Troillett, Deborah, Aletter, Karen, Frank, Robert N., Abrams, Gary, Puklin, James, Tewari, Asheesh, Milanovic, Cheryl, Bailey, Melanie, Griffith, David, McDonald, Dena, Morehead, Kit, Sadikovic, Zlatan, Schillace, Lisa, Silvis, Elizabeth, Joondeph, Brian, Christmas, Nancy, Kimura, Alan, Liu, Mimi, Petty, Stephen, Zilis, John, Benitez, Jenny, Catlett, Cassandra Berryman, Fluegel, Eric, Mowry, Shane, Nguyen, Hoang, Reflow, David, Houghton, Odette M., Garg, Seema, Landers, Maurice B., Meredith, Travis, Barnhart, Sandy, Karmalkar, Megha, Cantrell, Debra, Esquejo-Leon, Rona Lyn, Manor, Linda, Pope, Sue, Stines, David, Stokely, Amelia, Hainsworth, Dean, Helming, Dyann, Eichelberger, Debbie, Leaton, Mary Paige, Hamm, Chuck, Chaum, Edward, Iannaccone, Alessandro, Jennings, Barbara, Murray, Tracy, Mastellone, Joe, Millay, Robert, Kim, Brian, Goddard, Theresa, Beaudette, Liza Jarrett, Changelian-Aitken, Nina, Corrada, Fernando, Dubuque, Jason, Iezzi, Raymond, Bakri, Sophie J., Pulido, Jose S., Vogen, Diane, Nielsen, Rebecca, Berg, Karin, Burrington, Jean, Howard, Shannon, Overend, Joan, Krason, Zbigniew, Lewison, Denise, Link, Thomas, Blinder, Kevin J., Engelbrecht, Nicholas E., Grand, M. Gilbert, Joseph, Daniel P., Shah, Gaurav K., Smith, Bradley, Thomas, Matthew, Weeks, Rhonda, Boyd, Lynda, Gabel, Dana, Adelman, Ron, Huang, John, Kempton, James, Parnes, Aaron, Dupont, Jennifer, Perotti, Elizabeth, Donaldson, Victoria, Fong, Kenneth, Ossorio, Pamela, Agarwal, Anita, Sternberg, Paul, Owings, Sandy, Adkins, Tony, Lok, Elaine, Munn, Garvin, Skellie, Buddy, Bhagat, Neelakshi, Roy, Monique S., Zarbin, Marco, Fay, Catherine, Lazar, Michael, Malpica, Beth, Mikheyav, Tatiana, Ulanski, Lawrence, II, Lim, Jennifer, Niec, Marcia, Johnson, Tametha, Ovando, Yesenia, Carroll, Catherine Nail, Janowicz, Mark, Schwartz, Steven, Cupp, David, Gorin, Michael, Heilweil, Gad, Hosseini, Hamid, Hubschman, Jean-Pierre, Kreiger, Allan, McCannel, Tara Young, Pan, Carolyn, Sarraf, David, Tsui, Irena, Udoetek, Joshua, Voleti, Vinad, Hitchcock, Logan, Ostrick, Rosaleen, Chun, Melissa, Kageyama, Jennie, Davila, Nilo, Lipka, Kristin, Shin, Christina, Owsley, Cynthia, Albert, Michael, Jr., Feist, Richard, Mason, John, Thomley, Martin, Johnson, Angelia, Emond, Tracy, Hamela, Joanna, Marsh, Angela, Searcey, Karen, Rookard, Kia, He, Yu-Guang, Ufret-Vincenty, Rafael L., Molai, Mike, Anderson, William, Horna, John, Letson, Alan, Cebulla, Colleen, Chang, Susie, Davidorf, Fred, Salerno, Jill, Sladoje, Laura, Stetson, Christina, Perry, Jeri, Savage, Scott, Toth, Cynthia, Jaffe, Glenn, Schuman, Stefanie, Sarin, Neeru, Crowell, Jim, Keaton, Tiffanie, Kelly, Michael, Lutman, Brian, Skelly, Marriner, Welch, Lauren, Morse, Lawrence, Hunter, Allan, Soon-Chun Park, Susanna, Wallace, Cynthia, Dhillon, Ember, Salvador, Marisa, Holderreed, Barbara, Chandra, Karishma, Kaur, Sashi, Redenbo, Ellen, Hom, Smiley, Cooney, Michael, Barbazetto, Irene, Klancnik, James M., Jr., Sorenson, John A., Yannuzzi, Lawrence, Scolaro, Maria, Agresta, Eugene, Gonzalez, Nancy, Grover, Sandeep, Chalam, K.V., Gupta, Shailesh, Lyons, Christopher, Li, Wenhua, Patel, Chirag, Carrion, Jose, Ferreyra, Henry, Rodriguez, Amberly, Molina, Iliana, Balea, Gabriel, Emory, Pam, Rico, Marlene, Siqueiros, Giorgio, Brucker, Alexander J., Dunaief, Joshua, Grunwald, Juan, Kim, Benjamin, Maguire, Albert M., VanderBeek, Brian, Drossner, Sheri, DuPont, Joan, Salvo, Rebecca, Berger, Jim, Devine, Cheryl, Nyberg, Bill, Weeney, Laurel, DiLoreto, David, Chung, Mina, Davis, Valerie, MacDowell, Peter, Gara, George O., Castillo, Daniel, Czubinski, Andrea, Keim, Melissa, Hardy, Brandi, Hollar, Rachel Grunhaus, Schueckler, Lynn, Lyon, Alice T., Weinberg, Aaron, Shiloach, Mira, Pelkofer, Nicole, Zhou, Qin, McPoland, Laura, Apte, Rajendra, Rao, P. Kumar, Pistorius, Sam, Kambarian, Jamie, Adcock, Eve, Gould, Sarah, Quinn, Melanie, Curtis, Rhonda, Frost, Amy, Meyer, Charla, Rathert, Greg, Yu, Jeannette J., Clemons, Traci E., van Asten, Freekje, and Keenan, Tiarnan D.
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- 2019
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46. MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models.
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Saman Sarraf, Danielle D. Desouza, John A. E. Anderson, and Cristina Saverino
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- 2019
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47. Health related quality of life in COVID-19 survivors discharged from acute hospitals: results of a short-form 36-item survey [version 1; peer review: 1 approved]
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Alessia Saverino, Eva Zsirai, Raphael Sonabend, Lorenza Gaggero, Isabella Cevasco, Caterina Pistarini, and Paolo Cremonesi
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Research Article ,Articles ,Health Related Quality of Life ,long-COVID ,return to work - Abstract
Background: Health-related quality of life (HRQL) is important for evaluating the impact of a disease in the longer term across the physical and psychological domains of human functioning. The aim of this study is to evaluate HRQL in COVID-19 survivors in Italy using the short form 36-items questionnaire (SF-36). Methods: This is an observational study involving adults discharged home following a coronavirus disease 2019 (COVID-19)-related hospital admission. Baseline demographic and clinical data including the Cumulative Illness Rating Scale (CIRS) and the Hospital Anxiety and Depression Scale (HADS) were collected. The validated Italian version of SF-36 was administered cross-sectionally. The SF-36 contains eight scales measuring limitations in physical and social functioning, the impact on roles and activities, fatigue, emotional well-being, pain and general health perception. Results: A total of 35 patients, with a mean age of 60 years, completed the SF-36. The results showed difficulties across the physical and psychological domains, particularly affecting the return to previous roles and activities. A higher burden of co-morbidities as well as a more severe muscle weakness was associated to a lower physical functioning. Younger age, rather than older, correlated to a perceived greater limitation in physical functioning and vitality. Conclusions: COVID-19 survivors particularly the ones of working age may need support for resuming their premorbid level of functioning and returning to work.
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- 2021
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48. The Challenge of Reorganizing Rehabilitation Services at the Time of COVID-19 Pandemic: A New Digital and Artificial Intelligence Platform to Support Team Work in Planning and Delivering Safe and High Quality Care
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Alessia Saverino, Paola Baiardi, Giuseppe Galata, Gloria Pedemonte, Claudio Vassallo, and Caterina Pistarini
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COVID-19 ,centers rehabilitation ,goal-directed therapy ,staffing and scheduling ,artificial intelligence ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Introduction: The COVID-19 pandemic has posed great challenges in inpatient rehabilitation services, not only to implement the preventative measures to avoid the spreading of the virus in a highly interactive, multidisciplinary setting but also to create a rehabilitation pathway for post-COVID-19 patients. The aim of this retrospective study was to describe the role of a digital and artificial intelligence platform (DAIP) in facilitating the implementation of changes in a rehabilitation service during the COVID-19 pandemic.Materials and Methods: We gathered qualitative and quantitative descriptors of the DAIP, including measures to assess its efficiency in scheduling therapy sessions, and staff satisfaction using two simple numeric rating scales and the System Usability Scale. We describe how the volume of activity and the quality of care of our rehabilitation service have changed when the DAIP was implemented by comparing the pre-COVID-19 and the pandemic periods for patients' [sex, age, co-morbidities, diagnosis, and Functional Independence Measure (FIM) gain] and service's (bed occupancy, patients' length of stay, and staff capacity) characteristics.Results: Bed occupancy and the impact of rehabilitation on patients' outcome remained stable between the two periods. The DAIP provided a qualitative support for goal setting from remote; 95% of the planned sessions were delivered; the time for scheduling and registering sessions dropped by 50%. Staff satisfaction was about 70% for the easiness and 60% for the usefulness, and the mean “usability” score was close to the cut off for sufficient usability (mean score 65 where 68 is the cut off).Conclusion: By applying the DAIP to rehabilitation treatment, it was shown that the management of rehabilitation can be efficiently performed even in the COVID-19 pandemic. Staff satisfaction reflected a good acceptance of the changes considering the turbulent changes and the stress burden occurring at the time of the pandemic.
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- 2021
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49. Progression of Geographic Atrophy in Age-related Macular Degeneration: AREDS2 Report Number 16
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Chew, Emily Y., Ferris, Frederick L., III, SanGiovanni, John Paul, Agrón, Elvira, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P., Davis, Matthew, Domalpally, Amitha, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D., Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J., Capone, Antonio, Jr., Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R., Hassan, Tarek S., Trese, Michael, Williams, George A., Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J., Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T., Hwang, Thomas J., Lauer, Andreas, Stout, J. Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B., Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, Callahan, Charleen, Grillo, Marcia, Walsh, David, Zimmerman, Kamella Lau, Fish, Gary Edd, Anand, Rajiv, Coors, Lori E., Fuller, Dwain G., Spencer, Rand, Wang, Robert C., Duignan, Karen, Arceneaux, Sally, Aguado, Hank, Hesse, Nicholas, Mackens, Michael, Swan, Brian, Wong, Wai T., Cukras, Catherine, Dalal, Monica, Jacobs-El, Naima, Meyerle, Catherine, Nicholson, Benjamin, Wiley, Henry, Shimel, Katherine Hall, Garced, Angel, Oparah, Janice, Short, Greg, Temple, Alana, Ayukawa, Babilonia, Foster, Guy, Hayes, Darryl, Koutsandreas, Dessie, Nashwinter, Roula, Rowan, John, Bono, Michael, Cunningham, Denise, Palmer, Marilois, Zetina, Alicia, Orth, David H., Rezaei, Kourous, Civantos, Joseph, Hasan, Sohail, Packo, Kirk, Figliulo, Celeste, Stanberry, Pam, Farmer, Tara, Nelson, Kiersten, Townsend-Patrick, Shannya, Rosenfeld, Philip, Chen, Royce, Doshi, Rishi, Dubovy, Sander, Kim, Brian T., Lowrance, Matthew, Moshfeghi, Andrew, Nahas, Zayna, Schienbaum, Gary, Vishak, John, Weng, Christina, Yehoshua, Zohar, Rodriguez, Belen, Rebimbas, Jose, Gleichauf, Jane, Kicak, Mike, Mena, Jason, Odem, Tim, Sferza-Camp, Elizabeth, Disgdiertt, Alicia, Oramas, Jim, Rams, Isabel, Thatcher, Stephanie, Bressler, Susan B., Bressler, Neil M., Finkelstein, Daniel, Sherman, Steven H., Solomon, Sharon, Ying, Howard S., Denbow, Rita, Phillips, Deborah, Radcliffe, Elizabeth, Belt, Judy, Cain, Dennis, Emmert, David, Herring, Mark, McDonald, Jacquelyn, Hubbard, G. Baker, Bergstrom, Chris S., Cribbs, Blaine, Hendrick, Andrew, Johnson, Brandon, Laird, Philip, Mehta, Sonia, Olsen, Timothy, Townsend, Justin, Yan, Jion, Yeh, Steven, Curtis, Linda, Brower, Judy, Yi, Hannah, Dobbs, Jannah Rutter, Jordan, Debbie, Elman, Michael J., Liss, Robert A., Starr, JoAnn, Belz, Jennifer, Putzulo, Charlene, Coffey, Teresa, Davis, Ashley, Singletary, Pamela, Andreani, Giorya Shabi, Cain, Theresa, Ketner, Daniel, Sotirakos, Peter, Chandra, Suresh, Blodi, Barbara A., Altaweel, Michael M., Gottlieb, Justin L., Ip, Michael, Nork, T. Michael, Stevens, Thomas S., Burke, Kathryn, Olson, Shelly, Dietzman, Kristine, Soderling, Barbara, Somers, Guy, Wealti, Angie, Krolnik, Denise, Peterson, John, Reed, Sandra, Friberg, Thomas, Eller, Andrew, Gallagher, Denise, Labriola, Leanne, Pokrifka, Melissa, Gedansky, Aron, Anthony, Natalie, Grzybowski, Cassandra, Matthews, Dawn, Murajda-Jumba, Sharon, Toro, Jessica, Callanan, David G., Solley, Wayne A., Williams, Patrick, Lash, Sandy, Boleman, Bob, Dock, Chris, Shami, Michel, Arrington, Brenda, Meeks, Ashaki, Margherio, Alan R., Raphaelian, Paul, Markus, Debra, Langdon, Justin, Truax, Elizabeth, Lewis, Sandy, Terry, Brad, Noffke, Amy, Oh, Kean, Sarrafizadeh, Ramin, Sneed, Scott, Hammersley, Julie, Neal, Serena, Doran, Mary, Jones, Nan, Preston, Lisa, Jessick, Heather, Marsh, Tanya Tracy, Tolentino, Michael, Berger, Adam, Hamilton, Richard, Misch, David, Moon, Suk Jin, Sutherland, Dawn, Dilts, Vera, Henderson, Sara, Medina, Esmeralda, Trueman, Donald, Holm, Laura, Strickland, Jason, Ie, Darmakusuma, Lipkowitz, Jeffrey L., Shah, Kekul B., Geraghty, Susan, Sannazzaro, Beverly, Harper, Morgan, Bayer, Krista, Lansing, Mary B., Fox, Lauren B., Lee, Rebecca, Stallman, Jay B., Jacobson, Michael, Koh, Sean, Lampert, Scott, Miller, John, Rivellese, Mark, Sharma, Atul, Stoltz, Robert A., Vanderveldt, Stephanie, Marcus, Leslie, Hendricks, Starr, Hollman, Ryan, Betanzos, Grethel, Ellorin, Leslie, Fulbright, Shelly, McCormick, Debbie, Edwards, Paul A., Hall, Julianne, Monk, Mary, Gutkowski, Melanie, Mazurek, Melina, Murphy, Janet, Gusas, Katherine, Moffett, Crystal, Burley, David, Chesney, Nicole, Kilgo, Katie, Rusinek, Brian, Stern, Bradley, Troszak, Tracy, Baker-Levingston, Rhonda, Baker, Carl W., Caldwell, Tracey, Walker, Tammy, Lambert, Lynnette F., Martin, Tracey, Palmer, Mary Jill, Williams, Tana, Novak, Michael A., Coney, Joseph, Miller, David G., Pendergast, Scott, Singerman, Lawrence, Zakov, Nicholas, Zegarra, Hernando, DuBois, Kim, Rath, Susan, Revella, Lori, Brink, Tammy, Drury, Kim, Hogue, Lisa, Ilc, Mary, Keller, Connie, McNamara, Elizabeth, Tanner, Vivian, Cunningham, Tamara, DuBois, John, Greanoff, Gregg, Nitzsche, Trina, Smith-Brewer, Sheila, Isernhagen, Ricky D., Kitchens, John W., Stone, Thomas W., Wood, William J., Holcomb, Diana, Therrien, Virginia, Buck, Michelle, Van Arsdall, Jeanne, Slade, Edward, Schneiderman, Todd E., Spinak, David J., Gaedke, Jackie, Brown, Heather Davis, Helgren, Dan, Pangelinan, Jenifer Garrison, Halperin, Lawrence, Anagnoste, Scott, Dhalla, Mandeep, Rosenberg, Krista, Taney, Barry, Thompson, W. Scott, Lopez, Jaclyn, Hamlin, Monica, Lopez, Monica, Mariano, Jamie, Quinchia, Evelyn, Aramayo, Patricia, Veksler, Rita, Lee, Michael, Dreyer, Richard, Handelman, Irvin, Ma, Colin, Peters, Mark, Hobbs, Stephen, III, Milliron, Amanda, Kopfer, Marcia, Connaughton, Michele, Hoerner, A. Christine, Logan, R. Joseph, Wohlsein, Harry J., Boyer, David, Chu, Thomas G., Dayani, Pouya, Liao, David, Novack, Roger L., Rahhal, Firas M., Roe, Richard, Tabandeh, Homayoun, Bayramyan, Janet, Gasparyan, Tammy, Hoang, Connie, Kurokouchi, Janet, Lo, Tammy Eileen, Ngo, Richard, Nguyen, Mary Ann, Peyton, Michael, Yoon, Charles, Sierra, Julio, Zamboni, Adam, Kessinger, Jeff, Protacio, Eric, Smucker, Adam, Rath, Pamela, Bergren, Robert, Doft, Bernard, Liu, Judy, Olsen, Karl, Merlotti, Lori, Ingram, Willia, Marfisi, Kellianne, Yeckel, Kimberly, Carmelo, Heather Schultz, Fec, Amanda, McBroom, Keith, Steinberg, David, Levy, Marc, Abrams, Jody, Chen, Melvin, Torres, Waldemar, Jelemensky, Peggy, Prybylski, Mark, Raphael, Tara, Appleby, Diana, Rodman, Charlotte, Sneath, Mark, Rosa, Robert H., Jr., Hoelscher, Vanessa, Castano, Adelia, Parker, Jocelyn, Hoskins, John, Anderson, Nicholas, Googe, Joseph, Jr., McMillan, Tod A., Miller, James, Jr., Perkins, Stephen, Oliver, Kristina, Beerbower, Jennifer, Gilliland, Bruce, Hunt, Cecile, Jacobus, Mike, Lince, Raul, Morris, Christopher, Oelrich, Sarah, Whetstone, Jerry, Chan, Clement K., Lin, Steven, Walther, Kim, Gonzales, Tiana, Myers, Lenise, Huff, Kenneth, Brown, David M., Chen, Eric, Benz, Matthew S., Fish, Richard H., Kim, Rosa Y., Major, James, Jr., Wong, Tien Pei, Wycoff, Charles, Cone, Cassandra, Gilaspia, Debbie Goates, Landaverde, Nubia, Smith, Robert, Zamora, Deneva, Sneed, Veronica, Vela, Melina, Kegley, Eric, Greven, Craig, Kurup, Shree, Richards, Charles, Slusher, Madison, Everhart, Cara, Fish, Joan, Clark, Mark, Miller, David, Tyler, Marshall, Jumper, J. Michael, Fu, Arthur D., Johnson, Robert N., Lujan, Brandon, McDonald, H. Richard, Rodriguez, Rosa, Ansari, Nina, Joaquin, Jeanifer, Linares, Silvia, Lopez, Lizette, Sabio, Jessica, Grout, Sean, Indermill, Chad, Urias, Yesmin, Zimmerman, Roberto, Margulies, Linda, Schmidt, Sara J., Meier, Joy L., Hadley, Sherry L., Rosenthal, William, Johnson, Barbara, Swafford, Lois, Shields, Richard, Varner, R. Scott, Rosen, Richard, Gentile, Ronald, Rivas, Melissa, Tai, Katy W., Carrasquillo-Boyd, Wanda, Masini, Robert, Stoller, Glenn, Carnevale, Ken, LaRosa, Diane M., Burger, Barbara, Conway, Tereza, Del Castillo, Carla, Diaz, Julissa, Jones, Susan, Mondoc, Nina, Balfour, Charlene, Vitha, C.H., Lutz, Jennifer, McGinley, Barbara, El Baba, Fadi, Lavorna, Ann Marie, Jones, Renee, Lewis, Jean, Tenzler, Ruth, Salvas-Mladek, Mary, Van Kesteren, Diane, McLean, W. Copley, Jr., Bridges, W. Zachery, Jr., Stone, Cameron, Ammons, Denise, Lamy, Mary, Menzel, Andrea, Raymer, Lea Doll, Campbell, Barbara, Hawkins, Lisa, Rickman, Leslie, Sherlin, Lorraine, Price, Paula, Sinyai, Albert, Kingsley, Ronald, Bradford, Reagan H., Jr., Leonard, Robert E., II, Icks, Sonny, Bergman, Vanessa, Ross, Brittany, Burris, Russ, Butt, Amanda, Richmond, Rob, Lyon, Alice, Gill, Manjot, Jampol, Lee, Mizra, Rukhsana, Rozenbajgier, Zuzanna, Chapman, Jeremy, Kaminski, Lori, Degillio, Andrea, Simjanoski, Evica, Heier, Jeffrey, Cho, Hyung, Cleary, Tina Scheufele, Goldman, Darin, Shah, Chirag, Topping, Trexler, Weber, Marissa, Wiegand, Torsten, Schindelheim, Jeremy, Bankert, Joy, Stone, Jennifer, Nowak, Alison, Chong, Sandy, Williams, Lindsay, Bennett, Steven, Donovan, Dennis, Graham, Margaret, Jones, Cullen, Fung, Anne, Bayabo, Jan-Kristine, Bosch, Razelda, Cruz, Esperanza, Emerson, Ashley, Fleming, Alycia, Barsness, Denice, Rodriguez, Jorge, Soboleva, Marina, Scott, Ingrid U., Bowie, Esther, Neely, Kimberly A., Quillen, David A., Walter, Laura, Bennett, Timothy, Strong, James, Wells, John, III, Clark, Lloyd, Johnson, David, Miller, Peggy, Taylor, Mallie, Swinford, Tiffany, Spivey, Robbin, Banach, Michael, Ho, Lawrence, Lanning, Richard, Pheasant, Thomas R., Prensky, Jay G., Truong, Steven, Teatsworth, Julia, Dietrich, Michelle, Wasilus, Ann, Miller, Ann, Rakes, Megan, Slagle, Teresa, Richards, Michelle, Schuessler, Patricia, Stover, Lacy, Beer, Paul, Falk, Naomi S., Shannon, Mary Beth, Olmeda, Jeannie, Berdeen, Don, Fisher, Joseph F., Jr., Folk, James, Russell, Stephen, Taylor, Barbara, Hinz, Connie, Walshire, Jean, Stockman, Heather, Critser, Bruce, Karakas, Stefani, Montague, Cindy, Verdick, Randy, Gupta, Omesh, Maguire, Joseph, Brady, Christopher, DeCroos, Francis Char, Dollin, Michael, Garg, Sunir, Gerstenblith, Adam, Haller, Julia, Ho, Allen C., Hsu, Jason, Kaiser, Richard, Pitcher, John, Regillo, Carl, Shah, Rajiv, Spirn, Marc, Tasman, William, Vander, James, Senderowitsch, Noga, Formoso, Michele, Markun, Michelle, George, Cedric, Centinaro, Christina, Grande, Lisa, Carey, Stefanie, Liebenbaum, Elaine, Sadda, SriniVas, Humayun, Mark, Sierra, Rachel, Corona, Elizabeth, Padilla, Margaret, Nu, Moonseok, Ramos, Sylvia, Barnett, Cullen, Currie, Glenn, Gottlieb, Cornelia, Garfinkel, Richard, Berinstein, Daniel, Colyer, Marcus, Deegan, William, III, Min-Shyue Lai, Michael, Murphy, Robert, Osman, Michael, Rivers, Michael, Sanders, Reginald, von Fricken, Manfred A., Oliver, Debbie, Kirshon, Jeanne, Snowden, Tanya Alexander, Blondo, Thomas, Cronise, Alysia, Denny, Vanessa, Mendez, Kylie, Newgen, Janine, Davis, Justin, Flory, Mike, Frantz, Robert, Murphy, Bryan, Rauch, Steve, Kim, Judy E., Bachman, Jane, Connor, Thomas B., Jr., Han, Dennis P., Stepian, Kimberly, Weinberg, David V., Wirostko, William J., Packard, Krissa, Kaczanowski, Tracy, Williams, Vesper, Barwick, Vicki, Flanders, Judy, Backes, Dennis, Beringer, Joe, Keller, Kristy, Selchert, Kathy, Bernstein, Paul, Teske, Michael, Vitale, Albert, Allman, Susan, Carlstrom, Bonnie, Wegner, Kimberley, Haroldsen, Anne, Harrison, Deborah, Fry, Cyrie, Gilman, James, Jenkins, Glen, Morris, Paula, Rauser, Michael, Fan, Joseph, Suthar, Mukesh, Santiago, Gisela, Halsey, Kara Rollins, Quesada, Christy, Kiernan, William, Knabb, Jesse, Lewis, Richard Alan, Dorenbach, Cindy, Spencer, Steven, Barnett, Dana, Morales, Joseph, Fishburne, Barron C., Gross, Jeffrey G., Magee, Michael A., Flowers, Amy, McDowell, Angie, Price, Randall, Huang, Suber, Tang, Johnny, Wilker, Shawn, Hornsby, Cherie, Ferguson, Lisa, Krogstad, Kirk, Adamovsky, Riva, Allchin, Peggy, Carlton, Kathleen, Clow, Claudia, Sholtis, Kelly, Burke, Stephanie, Harrod, Mark, Hrvatin, Stacie, Pankhurst, Geoffrey, Sabates, Nelson R., Cassell, Michael, Desai, Komal, Poulose, Abraham, Sabates, Felix, Chen, Yin, Gallimore, Gary, Konior, Yolanda, Kim, Nicola, Uwaydat, Sami, Troillett, Deborah, Aletter, Karen, Frank, Robert N., Abrams, Gary, Puklin, James, Tewari, Asheesh, Milanovic, Cheryl, Bailey, Melanie, Griffith, David, McDonald, Dena, Morehead, Kit, Sadikovic, Zlatan, Schillace, Lisa, Silvis, Elizabeth, Joondeph, Brian, Christmas, Nancy, Kimura, Alan, Liu, Mimi, Petty, Stephen, Zilis, John, Benitez, Jenny, Catlett, Cassandra Berryman, Fluegel, Eric, Mowry, Shane, Nguyen, Hoang, Reflow, David, Houghton, Odette M., Garg, Seema, Landers, Maurice B., Meredith, Travis, Barnhart, Sandy, Karmalkar, Megha, Cantrell, Debra, Esquejo-Leon, Rona Lyn, Manor, Linda, Pope, Sue, Stines, David, Stokely, Amelia, Hainsworth, Dean, Helming, Dyann, Eichelberger, Debbie, Leaton, Mary Paige, Hamm, Chuck, Chaum, Edward, Iannaccone, Alessandro, Jennings, Barbara, Murray, Tracy, Mastellone, Joe, Millay, Robert, Kim, Brian, Goddard, Theresa, Beaudette, Liza Jarrett, Changelian-Aitken, Nina, Corrada, Fernando, Dubuque, Jason, Iezzi, Raymond, Bakri, Sophie J., Pulido, Jose S., Vogen, Diane, Nielsen, Rebecca, Berg, Karin, Burrington, Jean, Howard, Shannon, Overend, Joan, Krason, Zbigniew, Lewison, Denise, Link, Thomas, Blinder, Kevin J., Engelbrecht, Nicholas E., Grand, M. Gilbert, Joseph, Daniel P., Shah, Gaurav K., Smith, Bradley, Thomas, Matthew, Weeks, Rhonda, Boyd, Lynda, Gabel, Dana, Adelman, Ron, Huang, John, Kempton, James, Parnes, Aaron, Dupont, Jennifer, Perotti, Elizabeth, Donaldson, Victoria, Fong, Kenneth, Ossorio, Pamela, Agarwal, Anita, Sternberg, Paul, Owings, Sandy, Adkins, Tony, Lok, Elaine, Munn, Garvin, Skellie, Buddy, Bhagat, Neelakshi, Roy, Monique S., Zarbin, Marco, Fay, Catherine, Lazar, Michael, Malpica, Beth, Mikheyav, Tatiana, Ulanski, Lawrence, II, Lim, Jennifer, Niec, Marcia, Johnson, Tametha, Ovando, Yesenia, Carroll, Catherine Nail, Janowicz, Mark, Schwartz, Steven, Cupp, David, Gorin, Michael, Heilweil, Gad, Hosseini, Hamid, Hubschman, Jean-Pierre, Kreiger, Allan, McCannel, Tara Young, Pan, Carolyn, Sarraf, David, Tsui, Irena, Udoetek, Joshua, Voleti, Vinad, Hitchcock, Logan, Ostrick, Rosaleen, Chun, Melissa, Kageyama, Jennie, Davila, Nilo, Lipka, Kristin, Shin, Christina, Owsley, Cynthia, Albert, Michael, Jr., Feist, Richard, Mason, John, Thomley, Martin, Johnson, Angelia, Emond, Tracy, Hamela, Joanna, Marsh, Angela, Searcey, Karen, Rookard, Kia, He, Yu-Guang, Ufret-Vincenty, Rafael L., Molai, Mike, Anderson, William, Horna, John, Letson, Alan, Cebulla, Colleen, Chang, Susie, Davidorf, Fred, Salerno, Jill, Sladoje, Laura, Stetson, Christina, Perry, Jeri, Savage, Scott, Toth, Cynthia, Jaffe, Glenn, Schuman, Stefanie, Sarin, Neeru, Crowell, Jim, Keaton, Tiffanie, Kelly, Michael, Lutman, Brian, Skelly, Marriner, Welch, Lauren, Morse, Lawrence, Hunter, Allan, Soon-Chun Park, Susanna, Wallace, Cynthia, Dhillon, Ember, Salvador, Marisa, Holderreed, Barbara, Chandra, Karishma, Kaur, Sashi, Redenbo, Ellen, Hom, Smiley, Cooney, Michael, Barbazetto, Irene, Klancnik, James M., Jr., Sorenson, John A., Yannuzzi, Lawrence, Scolaro, Maria, Agresta, Eugene, Gonzalez, Nancy, Grover, Sandeep, Chalam, K.V., Gupta, Shailesh, Lyons, Christopher, Li, Wenhua, Patel, Chirag, Carrion, Jose, Ferreyra, Henry, Rodriguez, Amberly, Molina, Iliana, Balea, Gabriel, Emory, Pam, Rico, Marlene, Siqueiros, Giorgio, Brucker, Alexander J., Dunaief, Joshua, Grunwald, Juan, Kim, Benjamin, Maguire, Albert M., VanderBeek, Brian, Drossner, Sheri, DuPont, Joan, Salvo, Rebecca, Berger, Jim, Devine, Cheryl, Nyberg, Bill, Weeney, Laurel, DiLoreto, David, Chung, Mina, Davis, Valerie, MacDowell, Peter, Gara, George O., Castillo, Daniel, Czubinski, Andrea, Keim, Melissa, Hardy, Brandi, Hollar, Rachel Grunhaus, Schueckler, Lynn, Lyon, Alice T., Weinberg, Aaron, Shiloach, Mira, Pelkofer, Nicole, Zhou, Qin, McPoland, Laura, Apte, Rajendra, Rao, P. 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- Published
- 2018
- Full Text
- View/download PDF
50. To what extent luxury retailing can be smart?
- Author
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Pantano, Eleonora, Passavanti, Rosanna, Priporas, Constantinos-Vasilios, and Verteramo, Saverino
- Published
- 2018
- Full Text
- View/download PDF
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