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Article: Isolated Penile Edema After Diagnostic Paracentesis.

Ojalvo, Israel / Salib, Andrew / Rodriguez, Carlos

2020 Volume 12, Issue 3, Page(s) e7329

Abstract: Diagnostic paracentesis is a routinely practiced, typically safe procedure performed in the emergency department. Genital swelling post-paracentesis is a rare complication with few documented case reports. We report a case of isolated penile edema after ... ...

Abstract	Diagnostic paracentesis is a routinely practiced, typically safe procedure performed in the emergency department. Genital swelling post-paracentesis is a rare complication with few documented case reports. We report a case of isolated penile edema after a diagnostic paracentesis performed in the emergency department. The patient is a 63-year-old male who came to the emergency department with a two-day history of isolated penile swelling after undergoing a diagnostic paracentesis in the emergency department as part of his workup during a recent hospital admission. On exam, the paracentesis site was noticeably low, beneath the inguinal ligament on the right side. His genital exam showed a circumcised penis with significant soft tissue swelling that involved the entire penile shaft sparing the glans and scrotum. There was no penile tenderness on palpation or urethral discharge. The testicles and scrotum revealed no signs of edema or tenderness, hernias, or abnormal lie. Of note, the patient reported that he had a less severe episode of penile swelling approximately one year ago after a paracentesis in a similarly low site, which resolved spontaneously. The features and timing of this presentation, added to the patient's previous episode over a year ago, pointed to this being a sequela of the paracentesis he had undergone during his last hospital stay. After evaluation and consultation with the urology service, he was discharged home with expectant management and outpatient follow-up. His symptoms resolved spontaneously after one week. To our knowledge, there have been no published reports of isolated penile edema after a diagnostic paracentesis. This case could be used when teaching the proper technique for performing a paracentesis and its potential complications.
Language	English
Publishing date	2020-03-19
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.7329
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Article ; Online: Surgical Cancellations in Glaucoma Practice: Causes, Delays, and Effect on Patient Care and Revenue.

Mehran, Nikki / Ojalvo, Israel / Myers, Jonathan S / Razeghinejad, Reza / Lee, Daniel / Kolomeyer, Natasha Nayak

Ophthalmology. Glaucoma

2020 Volume 4, Issue 4, Page(s) 427–432

Abstract: Purpose: To assess the incidence of glaucoma surgery cancellations, as well as their characteristics, underlying reasons, resultant surgical delay, and estimated lost potential reimbursement, at a tertiary eye hospital.: Design: Retrospective ... ...

Abstract	Purpose: To assess the incidence of glaucoma surgery cancellations, as well as their characteristics, underlying reasons, resultant surgical delay, and estimated lost potential reimbursement, at a tertiary eye hospital. Design: Retrospective observational study of planned surgical procedures of 4 glaucoma specialists at a tertiary eye center over a 2-year period (May 2017-May 2019). An additional prospective survey of patients was conducted. Participants: Patients who canceled glaucoma surgeries. Methods: Demographics and clinical information were recorded from the electronic medical record. A brief phone survey was implemented to determine the reason for cancellation and whether the patient rescheduled. Lost reimbursement was estimated assuming Medicare reimbursement rates for each procedure based on facility fee, surgeon fee, and anesthesia fee. Main outcome measures: Reasons for surgical cancellation, delay related to surgical cancellations, and annual lost reimbursement potential. Results: One hundred twenty-three of 1384 glaucoma surgeries (8.9%) to be performed by 4 glaucoma specialists at Wills Eye Hospital during the 2-year study period were canceled. Among those canceled, the mean age ± standard deviation (SD) of the patients was 70.3 ± 14.4 years and 51% were men. Of the cancellations, 56.9% were made within 1 day of the planned date of surgery and 96.7% were canceled within 7 days. Of the reasons for surgical cancellation, 28% were considered preventable, 50% were considered unpreventable, and 23% were categorized as "no reason given." Most of the surgeries eventually were performed-to-date (64.2%); the mean ± SD delay in surgery was 63.4 ± 68.6 days. The 3 most common preventable reasons for cancellation were lack of transportation (34%), lack of timely clearance (26%), and insurance-related issues (14%). Assuming Medicare reimbursement rates, the estimated annual lost potential reimbursement from surgical cancellations of the 4 glaucoma specialists was $208 306. Conclusions: This study highlights a significant number of cancellations in a glaucoma practice, most of which occurred within 1 day of planned surgery. Minimizing preventable causes of cancellations could decrease the likelihood of surgical delays as well as lost reimbursement. Further comparison with patients who successfully underwent surgery performed without delay may identify predictive factors or interventions that could decrease the number of surgical cancellations.
MeSH term(s)	Aged ; Appointments and Schedules ; Glaucoma/surgery ; Humans ; Male ; Medicare ; Patient Care ; Prospective Studies ; United States
Language	English
Publishing date	2020-12-16
Publishing country	United States
Document type	Journal Article ; Observational Study
ISSN	2589-4196
ISSN (online)	2589-4196
DOI	10.1016/j.ogla.2020.12.006
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Book ; Online: Knowledge Distillation for Anomaly Detection

Pol, Adrian Alan / Govorkova, Ekaterina / Gronroos, Sonja / Chernyavskaya, Nadezda / Harris, Philip / Pierini, Maurizio / Ojalvo, Isobel / Elmer, Peter

2023

Abstract: Unsupervised deep learning techniques are widely used to identify anomalous behaviour. The performance of such methods is a product of the amount of training data and the model size. However, the size is often a limiting factor for the deployment on ... ...

Abstract	Unsupervised deep learning techniques are widely used to identify anomalous behaviour. The performance of such methods is a product of the amount of training data and the model size. However, the size is often a limiting factor for the deployment on resource-constrained devices. We present a novel procedure based on knowledge distillation for compressing an unsupervised anomaly detection model into a supervised deployable one and we suggest a set of techniques to improve the detection sensitivity. Compressed models perform comparably to their larger counterparts while significantly reducing the size and memory footprint.
Keywords	Computer Science - Machine Learning
Publishing date	2023-10-09
Publishing country	us
Document type	Book ; Online
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Book ; Online: Symbolic Regression on FPGAs for Fast Machine Learning Inference

Tsoi, Ho Fung / Pol, Adrian Alan / Loncar, Vladimir / Govorkova, Ekaterina / Cranmer, Miles / Dasu, Sridhara / Elmer, Peter / Harris, Philip / Ojalvo, Isobel / Pierini, Maurizio

2023

Abstract: The high-energy physics community is investigating the potential of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to enhance physics sensitivity while still meeting data processing time constraints. In this ... ...

Abstract	The high-energy physics community is investigating the potential of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to enhance physics sensitivity while still meeting data processing time constraints. In this contribution, we introduce a novel end-to-end procedure that utilizes a machine learning technique called symbolic regression (SR). It searches the equation space to discover algebraic relations approximating a dataset. We use PySR (a software to uncover these expressions based on an evolutionary algorithm) and extend the functionality of hls4ml (a package for machine learning inference in FPGAs) to support PySR-generated expressions for resource-constrained production environments. Deep learning models often optimize the top metric by pinning the network size because the vast hyperparameter space prevents an extensive search for neural architecture. Conversely, SR selects a set of models on the Pareto front, which allows for optimizing the performance-resource trade-off directly. By embedding symbolic forms, our implementation can dramatically reduce the computational resources needed to perform critical tasks. We validate our method on a physics benchmark: the multiclass classification of jets produced in simulated proton-proton collisions at the CERN Large Hadron Collider. We show that our approach can approximate a 3-layer neural network using an inference model that achieves up to a 13-fold decrease in execution time, down to 5 ns, while still preserving more than 90% approximation accuracy. Comment: 9 pages. Accepted to 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023)
Keywords	Computer Science - Machine Learning ; High Energy Physics - Experiment ; Physics - Instrumentation and Detectors
Subject code	006
Publishing date	2023-05-06
Publishing country	us
Document type	Book ; Online
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Article ; Online: Graph Neural Networks for Charged Particle Tracking on FPGAs.

Elabd, Abdelrahman / Razavimaleki, Vesal / Huang, Shi-Yu / Duarte, Javier / Atkinson, Markus / DeZoort, Gage / Elmer, Peter / Hauck, Scott / Hu, Jin-Xuan / Hsu, Shih-Chieh / Lai, Bo-Cheng / Neubauer, Mark / Ojalvo, Isobel / Thais, Savannah / Trahms, Matthew

Frontiers in big data

2022 Volume 5, Page(s) 828666

Abstract: The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase of ... ...

Abstract	The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase of the LHC (HL-LHC). Graph neural networks (GNNs) are a type of geometric deep learning algorithm that has successfully been applied to this task by embedding tracker data as a graph-nodes represent hits, while edges represent possible track segments-and classifying the edges as true or fake track segments. However, their study in hardware- or software-based trigger applications has been limited due to their large computational cost. In this paper, we introduce an automated translation workflow, integrated into a broader tool called hls4ml, for converting GNNs into firmware for field-programmable gate arrays (FPGAs). We use this translation tool to implement GNNs for charged particle tracking, trained using the TrackML challenge dataset, on FPGAs with designs targeting different graph sizes, task complexites, and latency/throughput requirements. This work could enable the inclusion of charged particle tracking GNNs at the trigger level for HL-LHC experiments.
Language	English
Publishing date	2022-03-23
Publishing country	Switzerland
Document type	Journal Article
ISSN	2624-909X
ISSN (online)	2624-909X
DOI	10.3389/fdata.2022.828666
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Article ; Online: Outcomes of Eyes With Diabetic Macular Edema That Are Lost to Follow-up After Anti-Vascular Endothelial Growth Factor Therapy.

Matsunaga, Douglas R / Salabati, Mirataollah / Obeid, Anthony / Wibbelsman, Turner D / Wu, Connie / Mahmoudzadeh, Raziyeh / Ojalvo, Israel / Bilello, Justin / Sivalingam, Arunan / Ho, Allen C / Chiang, Allen / Hsu, Jason

American journal of ophthalmology

2021 Volume 233, Page(s) 1–7

Abstract: Purpose: To evaluate the effect of loss to follow-up (LTFU) on outcomes in eyes with diabetic macular edema (DME) treated with anti-vascular endothelial growth factor (VEGF).: Design: Retrospective cohort study.: Methods: Single-center study of 90 ...

Abstract	Purpose: To evaluate the effect of loss to follow-up (LTFU) on outcomes in eyes with diabetic macular edema (DME) treated with anti-vascular endothelial growth factor (VEGF). Design: Retrospective cohort study. Methods: Single-center study of 90 eyes of 73 patients with nonproliferative diabetic retinopathy (NPDR) and DME treated with anti-VEGF injections who were LTFU for >6 months. Main outcomes were the change in mean visual acuity (VA) and central foveal thickness at the return and final visits compared with the visit before LTFU. Results: The mean age was 64.5 years, the mean LTFU duration was 322 days, and the mean follow-up duration after return was 502 days. Compared with the mean VA at the visit before LTFU (0.42, Snellen ∼20/52), mean VA worsened at the return visit (0.54, Snellen ∼20/69, P = .004). No significant change in the mean VA was noted at the 3-month after return visit (0.50, Snellen ∼20/63), the 6-month after return visit (0.46, Snellen ∼20/57), the 12-month after return visit (0.42, Snellen ∼20/52), or the final follow-up (0.47, Snellen ∼20/59). When analyzed by NPDR severity before LTFU, no difference in VA was found from the visit before LTFU to the final visit. Mean central foveal thickness increased when comparing the visit before LTFU (270 μm) with the return visit (305 μm, P = .012), but no difference was found by the final visit (247 μm, P = .07). Conclusions: Anti-VEGF-treated patients with DME who were LTFU for a prolonged period experienced a modest decline in VA that recovered after restarting treatment.
MeSH term(s)	Angiogenesis Inhibitors/therapeutic use ; Bevacizumab/therapeutic use ; Diabetes Mellitus ; Diabetic Retinopathy/complications ; Diabetic Retinopathy/diagnosis ; Diabetic Retinopathy/drug therapy ; Humans ; Intravitreal Injections ; Lost to Follow-Up ; Macular Edema/diagnosis ; Macular Edema/drug therapy ; Macular Edema/etiology ; Middle Aged ; Retrospective Studies ; Tomography, Optical Coherence ; Vascular Endothelial Growth Factor A/antagonists & inhibitors
Chemical Substances	Angiogenesis Inhibitors ; Vascular Endothelial Growth Factor A ; Bevacizumab (2S9ZZM9Q9V)
Language	English
Publishing date	2021-07-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	80030-2
ISSN	1879-1891 ; 0002-9394
ISSN (online)	1879-1891
ISSN	0002-9394
DOI	10.1016/j.ajo.2021.06.028
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Book ; Online: Charged particle tracking via edge-classifying interaction networks

DeZoort, Gage / Thais, Savannah / Duarte, Javier / Razavimaleki, Vesal / Atkinson, Markus / Ojalvo, Isobel / Neubauer, Mark / Elmer, Peter

2021

Abstract: Recent work has demonstrated that geometric deep learning methods such as graph neural networks (GNNs) are well suited to address a variety of reconstruction problems in high energy particle physics. In particular, particle tracking data is naturally ... ...

Abstract	Recent work has demonstrated that geometric deep learning methods such as graph neural networks (GNNs) are well suited to address a variety of reconstruction problems in high energy particle physics. In particular, particle tracking data is naturally represented as a graph by identifying silicon tracker hits as nodes and particle trajectories as edges; given a set of hypothesized edges, edge-classifying GNNs identify those corresponding to real particle trajectories. In this work, we adapt the physics-motivated interaction network (IN) GNN toward the problem of particle tracking in pileup conditions similar to those expected at the high-luminosity Large Hadron Collider. Assuming idealized hit filtering at various particle momenta thresholds, we demonstrate the IN's excellent edge-classification accuracy and tracking efficiency through a suite of measurements at each stage of GNN-based tracking: graph construction, edge classification, and track building. The proposed IN architecture is substantially smaller than previously studied GNN tracking architectures; this is particularly promising as a reduction in size is critical for enabling GNN-based tracking in constrained computing environments. Furthermore, the IN may be represented as either a set of explicit matrix operations or a message passing GNN. Efforts are underway to accelerate each representation via heterogeneous computing resources towards both high-level and low-latency triggering applications. Comment: This is a post-peer-review, pre-copyedit version of this article. The final authenticated version is available online at: https://doi.org/10.1007/s41781-021-00073-z
Keywords	High Energy Physics - Experiment ; Computer Science - Machine Learning
Publishing date	2021-03-30
Publishing country	us
Document type	Book ; Online
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Article: Braking hazards of golf cars and low speed vehicles.

Seluga, K J / Ojalvo, I U

Accident; analysis and prevention

2006 Volume 38, Issue 6, Page(s) 1151–1156

Abstract: Research and analysis of braking issues for golf cars and other low speed vehicles (LSVs) are reported in this study. It is shown that many such vehicles only provide braking for their rear wheels, which can lead to a driver losing control during travel ... ...

Abstract	Research and analysis of braking issues for golf cars and other low speed vehicles (LSVs) are reported in this study. It is shown that many such vehicles only provide braking for their rear wheels, which can lead to a driver losing control during travel on typical steep downgrades. The braking performance of a golf car equipped with brakes on two or four wheels was analyzed to determine the effects of two and four wheel brake designs on braking efficiency and vehicle yaw stability. Besides reducing braking efficiency, it is demonstrated that installing brakes on only the rear wheels can lead to directional instability (fishtailing) and rollover when the rear wheels are braked until skidding occurs. The nonexistence of golf course standards and the inadequacy of golf car and LSV standards are noted and a connection between this and the comparatively high level of accidents with such vehicles is inferred. Based on these results, it is advisable to install brakes on all four wheels of golf cars and LSVs. In addition, new safety standards should be considered to reduce the occurrence of golf car accidents on steep downhill slopes.
MeSH term(s)	Equipment Design ; Gravitation ; Humans ; Leisure Activities ; Motor Vehicles ; Physical Phenomena ; Physics ; Safety
Language	English
Publishing date	2006-11
Publishing country	England
Document type	Journal Article
ZDB-ID	210223-7
ISSN	1879-2057 ; 0001-4575
ISSN (online)	1879-2057
ISSN	0001-4575
DOI	10.1016/j.aap.2006.04.023
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Article: P NMR Study of Elicitor Treated Phaseolus vulgaris Cell Suspension Cultures.

Ojalvo, I / Rokem, J S / Navon, G / Goldberg, I

Plant physiology

2006 Volume 85, Issue 3, Page(s) 716–719

Abstract: The addition of an elicitor (glucan) to Phaseolus vulgaris cell suspension cultures increased the formation of the phytoalexin phaseollin. Intracellular pH and phosphate concentrations were studied with (31)P nuclear magnetic resonance spectroscopy on ... ...

Abstract	The addition of an elicitor (glucan) to Phaseolus vulgaris cell suspension cultures increased the formation of the phytoalexin phaseollin. Intracellular pH and phosphate concentrations were studied with (31)P nuclear magnetic resonance spectroscopy on elicitor-treated cells which were aerated during the nuclear magnetic resonance measurement. The pH of the vacuole and to a lesser extent the pH of the cytoplasm were affected at 10 minutes after elicitor addition; a decrease in pH from 5.3 to 4.8 was noted in the vacuole and from 7.46 to 7.28 in the cytoplasm. The ratio between the amount of Pi in the vacuole to that in the cytoplasm also changed within 10 minutes after elicitor addition. The signal for ATP (beta-ATP) was low after elicitor addition and was high again 23 hours after elicitation. Forty-eight hours after elicitor addition, vacuolar and cytoplasmic pH had almost returned to their initial values. The rapid change in vacuolar and cytoplasmic pH may cause the change of metabolism that occurs in elicitor-treated P. vulgaris cells.
Language	English
Publishing date	2006-04-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	208914-2
ISSN	1532-2548 ; 0032-0889
ISSN (online)	1532-2548
ISSN	0032-0889
DOI	10.1104/pp.85.3.716
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Article ; Online: The muon Smasher's guide.

Al Ali, Hind / Arkani-Hamed, Nima / Banta, Ian / Benevedes, Sean / Buttazzo, Dario / Cai, Tianji / Cheng, Junyi / Cohen, Timothy / Craig, Nathaniel / Ekhterachian, Majid / Fan, JiJi / Forslund, Matthew / Garcia, Isabel Garcia / Homiller, Samuel / Koren, Seth / Koszegi, Giacomo / Liu, Zhen / Lu, Qianshu / Lyu, Kun-Feng /

Mariotti, Alberto / McCune, Amara / Meade, Patrick / Ojalvo, Isobel / Oktem, Umut / Redigolo, Diego / Reece, Matthew / Sala, Filippo / Sundrum, Raman / Sutherland, Dave / Tesi, Andrea / Trott, Timothy / Tully, Chris / Wang, Lian-Tao / Wang, Menghang

Reports on progress in physics. Physical Society (Great Britain)

2022 Volume 85, Issue 8

Abstract: We lay out a comprehensive physics case for a future high-energy muon collider, exploring a range of collision energies (from 1 to 100 TeV) and luminosities. We highlight the advantages of such a collider over proposed alternatives. We show how one can ... ...

Abstract	We lay out a comprehensive physics case for a future high-energy muon collider, exploring a range of collision energies (from 1 to 100 TeV) and luminosities. We highlight the advantages of such a collider over proposed alternatives. We show how one can leverage both the point-like nature of the muons themselves as well as the cloud of electroweak radiation that surrounds the beam to blur the dichotomy between energy and precision in the search for new physics. The physics case is buttressed by a range of studies with applications to electroweak symmetry breaking, dark matter, and the naturalness of the weak scale. Furthermore, we make sharp connections with complementary experiments that are probing new physics effects using electric dipole moments, flavor violation, and gravitational waves. An extensive appendix provides cross section predictions as a function of the center-of-mass energy for many canonical simplified models.
Language	English
Publishing date	2022-07-05
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	205657-4
ISSN	1361-6633 ; 0034-4885
ISSN (online)	1361-6633
ISSN	0034-4885
DOI	10.1088/1361-6633/ac6678
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