Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
LanguageLanguage
-
SubjectSubject
-
Item TypeItem Type
-
DisciplineDiscipline
-
YearFrom:-To:
-
More FiltersMore FiltersIs Peer Reviewed
Done
Filters
Reset
67
result(s) for
"Giacobbe, B."
Sort by:
Charm, beauty and charmonium production at HERA-B
2005
is a fixed target experiment working on the 920 GeV proton beam of the HERA accelerator at the DESY laboratory in Hamburg. During the last data taking period (2002-2003), about 150 million dilepton triggers, 220 million minimum bias events and 35 million hard photon triggers were acquired. These large statistics allow detailed studies on the production of charmonium states in proton-nucleus p-A collisions, which extend for the first time into the negative Feynman-x () region. Measurements of the inclusive , \\(\\Upsilon\\) and open charm cross sections are also ongoing. After a brief discussion of the detector and of the data samples, we report on preliminary results obtained on these physics topics.
Journal Article
Bayesian analysis of the constraints on \\(\\gamma\\) from \\(B \\rightarrow K\\pi\\) rates and CP asymmetries in the flavor-SU(3) approach
2002
The relation between the branching ratios and direct CP asymmetries of \\(B \\rightarrow K\\pi\\) decays and the angle \\(\\gamma\\) of the CKM unitarity triangle is studied numerically in the general framework of the SU(3) approach, with minimal assumptions about the parameters not fixed by flavor-symmetry arguments. Experimental and theoretical uncertainties are subjected to a statistical treatment according to the Bayesian method. In this context, the experimental limits recently obtained by CLEO, BaBar and Belle for the direct CP asymmetries are translated into the bound \\(\\vert\\gamma - 90^{\\circ}\\vert \\gt 21^{\\circ}\\) at the 95% C.L. A detailed analysis is carried out to evaluate the conditions under which measurements of the CP averaged branching ratios may place a significant constraint on \\(\\gamma\\). Predictions for the ratios of charged (\\(R_{\\mathrm{c}}\\)) and neutral (\\(R_{\\mathrm{n}}\\)) \\(B \\rightarrow K\\pi\\) decays are also presented.
Journal Article
Subcallosal cingulate deep brain stimulation for treatment-refractory anorexia nervosa: a phase 1 pilot trial
by
Giacobbe, Peter
,
Carter, Jacqueline C
,
Staab, Randy
in
Abnormalities
,
Adult
,
Adult and adolescent clinical studies
2013
Anorexia nervosa is characterised by a chronic course that is refractory to treatment in many patients and has one of the highest mortality rates of any psychiatric disorder. Deep brain stimulation (DBS) has been applied to circuit-based neuropsychiatric diseases, such as Parkinson's disease and major depression, with promising results. We aimed to assess the safety of DBS to modulate the activity of limbic circuits and to examine how this might affect the clinical features of anorexia nervosa.
We did a phase 1, prospective trial of subcallosal cingulate DBS in six patients with chronic, severe, and treatment-refractory anorexia nervosa. Eligible patients were aged 20–60 years, had been diagnosed with restricting or binge-purging anorexia nervosa, and showed evidence of chronicity or treatment resistance. Patients underwent medical optimisation preoperatively and had baseline body-mass index (BMI), psychometric, and neuroimaging investigations, followed by implantation of electrodes and pulse generators for continuous delivery of electrical stimulation. Patients were followed up for 9 months after DBS activation, and the primary outcome of adverse events associated with surgery or stimulation was monitored at every follow-up visit. Repeat psychometric assessments, BMI measurements, and neuroimaging investigations were also done at various intervals. This trial is registered with ClinicalTrials.gov, number NCT01476540.
DBS was associated with several adverse events, only one of which (seizure during programming, roughly 2 weeks after surgery) was serious. Other related adverse events were panic attack during surgery, nausea, air embolus, and pain. After 9 months, three of the six patients had achieved and maintained a BMI greater than their historical baselines. DBS was associated with improvements in mood, anxiety, affective regulation, and anorexia nervosa-related obsessions and compulsions in four patients and with improvements in quality of life in three patients after 6 months of stimulation. These clinical benefits were accompanied by changes in cerebral glucose metabolism (seen in a comparison of composite PET scans at baseline and 6 months) that were consistent with a reversal of the abnormalities seen in the anterior cingulate, insula, and parietal lobe in the disorder.
Subcallosal cingulate DBS seems to be generally safe in this sample of patients with chronic and treatment-refractory anorexia nervosa.
Klarman Family Foundation Grants Program in Eating Disorders Research and Canadian Institutes of Health Research.
Journal Article
Analysis of charmonium production at fixed-target experiments in the NRQCD approach
2006
We present an analysis of the existing data on charmonium hadro-production based on non-relativistic QCD (NRQCD) calculations at the next-to-leading order (NLO). All the data on J/psi and psi' production in fixed-target experiments and on pp collisions at low energy are included. We find that the amount of color octet contribution needed to describe the data is about 1/10 of that found at the Tevatron.
Total Joint Arthroplasty in a Stand-alone Ambulatory Surgical Center: Short-term Outcomes
by
Giacobbe, Dean
,
Schottenfeld, Mark
,
Smith, Amy
in
Ambulatory care
,
Ambulatory Care Facilities
,
Anesthesia
2016
For decades, the average hospital stay following total joint arthroplasty (TJA) has been getting shorter. The historical standard was several weeks of hospitalization, yet improvements in perioperative care have reduced the average length of stay to a few days. Medicare recognizes a 3-day inpatient stay as the standard of care following hip or knee replacement. Yet continued advances in minimally invasive surgical techniques, short-acting general anesthetics, long-acting local anesthetics, and blood loss management have further improved the safety and recovery for TJA procedures. Thus, further reductions in postoperative hospitalization have been implemented around the country, with surgeons reporting successful same-day protocols, as defined by hospitalization discharge on the day of surgery. Although these studies have presented results of same-day TJA in the hospital setting, this study is the first to report on the perioperative adverse events and early outcomes of 51 consecutive TJA procedures performed in a stand-alone ambulatory surgical center (ASC). The ASC offers an ideal setting to perform such procedures in the properly selected patient population, obviating any form of postoperative hospitalization. Although 16 (31.4%) of 51 patients reported minor adverse events in the postanesthesia care unit, specifically nausea and/or pain, early intervention permitted 50 (98.0%) of 51 patients to be discharged home, on average 176 minutes after surgery, with 1 patient discharged to a rehabilitation facility as arranged prior to surgery. There were no major adverse events in the 90-day perioperative period, and although 1 (2.0%) patient was hospitalized for persistent incisional drainage, none required admission for pain. This study examines the strict eligibility criteria and perioperative analgesia protocols that permit successful outpatient TJA. [ Orthopedics. 2016; 39(4):223–228.]
Journal Article
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
by
Giacomini, Mauro
,
Rosso, Nicola
,
Campi, Cristina
in
Algorithms
,
Antibiotics
,
Antimicrobial agents
2024
There is growing interest in exploiting the advances in artificial intelligence and machine learning (ML) for improving and monitoring antimicrobial prescriptions in line with antimicrobial stewardship principles. Against this background, the concepts of interpretability and explainability are becoming increasingly essential to understanding how ML algorithms could predict antimicrobial resistance or recommend specific therapeutic agents, to avoid unintended biases related to the “black box” nature of complex models. In this commentary, we review and discuss some relevant topics on the use of ML algorithms for antimicrobial stewardship interventions, highlighting opportunities and challenges, with particular attention paid to interpretability and explainability of employed models. As in other fields of medicine, the exponential growth of artificial intelligence and ML indicates the potential for improving the efficacy of antimicrobial stewardship interventions, at least in part by reducing time-consuming tasks for overwhelmed health care personnel. Improving our knowledge about how complex ML models work could help to achieve crucial advances in promoting the appropriate use of antimicrobials, as well as in preventing antimicrobial resistance selection and dissemination.
Journal Article