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  1. Article ; Online: The Dynamic Spatial Structure of Flocks.

    Russell, Nicholas J / Pilkiewicz, Kevin R / Mayo, Michael L

    Entropy (Basel, Switzerland)

    2024  Volume 26, Issue 3

    Abstract: Studies of collective motion have heretofore been dominated by a thermodynamic perspective in which the emergent "flocked" phases are analyzed in terms of their time-averaged orientational and spatial properties. Studies that attempt to scrutinize the ... ...

    Abstract Studies of collective motion have heretofore been dominated by a thermodynamic perspective in which the emergent "flocked" phases are analyzed in terms of their time-averaged orientational and spatial properties. Studies that attempt to scrutinize the dynamical processes that spontaneously drive the formation of these flocks from initially random configurations are far more rare, perhaps owing to the fact that said processes occur far from the eventual long-time steady state of the system and thus lie outside the scope of traditional statistical mechanics. For systems whose dynamics are simulated numerically, the nonstationary distribution of system configurations can be sampled at different time points, and the time evolution of the average structural properties of the system can be quantified. In this paper, we employ this strategy to characterize the spatial dynamics of the standard Vicsek flocking model using two correlation functions common to condensed matter physics. We demonstrate, for modest system sizes with 800 to 2000 agents, that the self-assembly dynamics can be characterized by three distinct and disparate time scales that we associate with the corresponding physical processes of clustering (compaction), relaxing (expansion), and mixing (rearrangement). We further show that the behavior of these correlation functions can be used to reliably distinguish between phenomenologically similar models with different underlying interactions and, in some cases, even provide a direct measurement of key model parameters.
    Language English
    Publishing date 2024-03-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26030234
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  2. Article ; Online: Medication utilization patterns in patients with post-COVID syndrome (PCS): Implications for polypharmacy and drug-drug interactions.

    Michael, Henry Ukachukwu / Brouillette, Marie-Josée / Fellows, Lesley K / Mayo, Nancy E

    Journal of the American Pharmacists Association : JAPhA

    2024  , Page(s) 102083

    Abstract: Background: Post-COVID syndrome (PCS) causes lasting symptoms like fatigue and cognitive issues. PCS treatment is nonspecific, focusing on symptom management, potentially increasing the risk of polypharmacy.: Objectives: To describe medication use ... ...

    Abstract Background: Post-COVID syndrome (PCS) causes lasting symptoms like fatigue and cognitive issues. PCS treatment is nonspecific, focusing on symptom management, potentially increasing the risk of polypharmacy.
    Objectives: To describe medication use patterns among patients with Post-COVID Syndrome (PCS) and estimate the prevalence of polypharmacy, potential drug-drug interactions, and anticholinergic/sedative burden.
    Methods: A cross-sectional analysis of baseline data from the Quebec Action for Post-COVID cohort, consisting of individuals self-identifying with persistent COVID-19 symptoms beyond 12 weeks. Medications were categorized using Anatomical Therapeutic Classification (ATC) codes. Polypharmacy was defined as using 5 or more concurrent medications. The Anticholinergic and Sedative Burden Catalog assessed anticholinergic and sedative loads. The Lexi-Interact checker identified potential drug-drug interactions, which were categorized into 3 severity tiers.
    Results: Out of 414 respondents, 154 (average age 47.7 years) were prescribed medications related to persistent COVID-19 symptoms. Drugs targeting the nervous system were predominant at 54.5%. The median number of medications was 2, while 11.7% reported polypharmacy. Over half of the participants prescribed medications used at least 1 anticholinergic or sedative medication, and 25% had the potential risk for clinically significant drug-drug interactions, primarily needing therapy monitoring.
    Conclusions: Our study reveals prescription patterns for PCS, underscoring the targeted management of nervous system symptoms. The risks associated with polypharmacy, potential drug-drug interactions, and anticholinergic/sedative burden stress the importance of judicious prescribing. While limitations like recall bias and a regional cohort are present, the findings underscore the imperative need for vigilant PCS symptom management.
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2118585-2
    ISSN 1544-3450 ; 1544-3191 ; 1086-5802
    ISSN (online) 1544-3450
    ISSN 1544-3191 ; 1086-5802
    DOI 10.1016/j.japh.2024.102083
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  3. Article ; Online: The Transference and the Case of Sacco and Vanzetti

    Michael Mayo

    Open Library of Humanities, Vol 6, Iss

    2020  Volume 1

    Abstract: The 1927 trial and execution of the anarchist immigrants Sacco and Vanzetti in Massachusetts offered a complex and conflicted template through which contestations of the moment—between the working classes and capitalists, certainly, but also between ... ...

    Abstract The 1927 trial and execution of the anarchist immigrants Sacco and Vanzetti in Massachusetts offered a complex and conflicted template through which contestations of the moment—between the working classes and capitalists, certainly, but also between traditional versions of whiteness and mass immigration from southern Europe; between Boston Brahmin women and men; between the competing visions of America as a project of constitutional democracy and as a white, Protestant nation—were projected onto the global stage, leading to protests and riots around the world. This piece uses the psychoanalytic concept of the transference to explicate the ways in which these legal contestations turn into libidinal investments in literary form—with all the phantastic satisfactions and resistances such textual investments entail. It uses focused close readings of four texts responding to Sacco and Vanzetti: Upton Sinclair’s 'Boston: A Documentary Novel' (1928), Edna St. Vincent Millay’s ‘Justice Denied in Massachusetts’ (1927), William Carlos Williams’s ‘Impromptu: The Suckers’ (1941) and John Dos Passos’s 'USA Trilogy' (1938) to trace how the psychoanalytic transference operates to create meaningful, if ultimately unsatisfying, political and juridical positions. It concludes by proposing, briefly, that this literature of the Sacco and Vanzetti case offers a model for thinking about how the literary transference might be effective in bringing about political change.
    Keywords History of scholarship and learning. The humanities ; AZ20-999
    Subject code 820
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Open Library of Humanities
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: The Transference and the Case of Sacco and Vanzetti

    Michael Mayo

    Open Library of Humanities, Vol 6, Iss

    2020  Volume 1

    Abstract: The 1927 trial and execution of the anarchist immigrants Sacco and Vanzetti in Massachusetts offered a complex and conflicted template through which contestations of the moment—between the working classes and capitalists, certainly, but also between ... ...

    Abstract The 1927 trial and execution of the anarchist immigrants Sacco and Vanzetti in Massachusetts offered a complex and conflicted template through which contestations of the moment—between the working classes and capitalists, certainly, but also between traditional versions of whiteness and mass immigration from southern Europe; between Boston Brahmin women and men; between the competing visions of America as a project of constitutional democracy and as a white, Protestant nation—were projected onto the global stage, leading to protests and riots around the world. This piece uses the psychoanalytic concept of the transference to explicate the ways in which these legal contestations turn into libidinal investments in literary form—with all the phantastic satisfactions and resistances such textual investments entail. It uses focused close readings of four texts responding to Sacco and Vanzetti: Upton Sinclair’s Boston: A Documentary Novel (1928), Edna St. Vincent Millay’s ‘Justice Denied in Massachusetts’ (1927), William Carlos Williams’s ‘Impromptu: The Suckers’ (1941) and John Dos Passos’s USA Trilogy (1938) to trace how the psychoanalytic transference operates to create meaningful, if ultimately unsatisfying, political and juridical positions. It concludes by proposing, briefly, that this literature of the Sacco and Vanzetti case offers a model for thinking about how the literary transference might be effective in bringing about political change.
    Keywords History of scholarship and learning. The humanities ; AZ20-999
    Subject code 820
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Open Library of Humanities
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Treatment of Alcohol Use Disorder in Hospitalized Patients: Some Sobering Findings.

    Mayo-Smith, Michael F / Lawrence, David

    Annals of internal medicine

    2023  Volume 176, Issue 8, Page(s) 1129–1130

    MeSH term(s) Humans ; Alcoholism/complications ; Alcoholism/therapy ; Alcohol Drinking ; Alcoholic Intoxication
    Language English
    Publishing date 2023-06-27
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M23-1419
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  6. Article ; Online: Comprehensive Factors for Predicting the Complications of Diabetes Mellitus: A Systematic Review.

    Erandathi, Madurapperumage Anuradha / Wang, William Yu Chung / Mayo, Michael / Lee, Ching-Chi

    Current diabetes reviews

    2024  

    Abstract: Background: This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known ... ...

    Abstract Background: This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study.
    Method: The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records.
    Result: Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes.
    Conclusion: This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.
    Language English
    Publishing date 2024-01-04
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1875-6417
    ISSN (online) 1875-6417
    DOI 10.2174/0115733998271863231116062601
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  7. Article ; Online: Predicting glucose level with an adapted branch predictor.

    Koutny, Tomas / Mayo, Michael

    Computers in biology and medicine

    2022  Volume 145, Page(s) 105388

    Abstract: Background and objective: Diabetes mellitus manifests as prolonged elevated blood glucose levels resulting from impaired insulin production. Such high glucose levels over a long period of time damage multiple internal organs. To mitigate this condition, ...

    Abstract Background and objective: Diabetes mellitus manifests as prolonged elevated blood glucose levels resulting from impaired insulin production. Such high glucose levels over a long period of time damage multiple internal organs. To mitigate this condition, researchers and engineers have developed the closed loop artificial pancreas consisting of a continuous glucose monitor and an insulin pump connected via a microcontroller or smartphone. A problem, however, is how to accurately predict short term future glucose levels in order to exert efficient glucose-level control. Much work in the literature focuses on least prediction error as a key metric and therefore pursues complex prediction methods such a deep learning. Such an approach neglects other important and significant design issues such as method complexity (impacting interpretability and safety), hardware requirements for low-power devices such as the insulin pump, the required amount of input data for training (potentially rendering the method infeasible for new patients), and the fact that very small improvements in accuracy may not have significant clinical benefit.
    Methods: We propose a novel low-complexity, explainable blood glucose prediction method derived from the Intel P6 branch predictor algorithm. We use Meta-Differential Evolution to determine predictor parameters on training data splits of the benchmark datasets we use. A comparison is made between our new algorithm and a state-of-the-art deep-learning method for blood glucose level prediction.
    Results: To evaluate the new method, the Blood Glucose Level Prediction Challenge benchmark dataset is utilised. On the official test data split after training, the state-of-the-art deep learning method predicted glucose levels 30 min ahead of current time with 96.3% of predicted glucose levels having relative error less than 30% (which is equivalent to the safe zone of the Surveillance Error Grid). Our simpler, interpretable approach prolonged the prediction horizon by another 5 min with 95.8% of predicted glucose levels of all patients having relative error less than 30%.
    Conclusions: When considering predictive performance as assessed using the Blood Glucose Level Prediction Challenge benchmark dataset and Surveillance Error Grid metrics, we found that the new algorithm delivered comparable predictive accuracy performance, while operating only on the glucose-level signal with considerably less computational complexity.
    MeSH term(s) Algorithms ; Blood Glucose ; Blood Glucose Self-Monitoring ; Diabetes Mellitus, Type 1 ; Humans ; Insulin
    Chemical Substances Blood Glucose ; Insulin
    Language English
    Publishing date 2022-03-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2022.105388
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  8. Article ; Online: Primary Care Panel Size: How You Measure Makes a Difference.

    Mayo-Smith, Michael F

    Annals of internal medicine

    2020  Volume 174, Issue 2, Page(s) 276–277

    MeSH term(s) Humans ; Physicians, Primary Care/organization & administration ; Physicians, Primary Care/statistics & numerical data ; Practice Management/organization & administration ; Practice Management/statistics & numerical data ; Primary Health Care/organization & administration ; Primary Health Care/statistics & numerical data ; Workload
    Language English
    Publishing date 2020-09-22
    Publishing country United States
    Document type Letter
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M20-3091
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  9. Article ; Online: Magnetic induction inspires a schematic theory for crosstalk-driven relaxation dynamics in cells.

    Pilkiewicz, Kevin R / Mayo, Michael L

    Physical review. E

    2021  Volume 103, Issue 4-1, Page(s) 42417

    Abstract: Establishing formal mathematical analogies between disparate physical systems can be a powerful tool, allowing for the well studied behavior of one system to be directly translated into predictions about the behavior of another that may be harder to ... ...

    Abstract Establishing formal mathematical analogies between disparate physical systems can be a powerful tool, allowing for the well studied behavior of one system to be directly translated into predictions about the behavior of another that may be harder to probe. In this paper we lay the foundation for such an analogy between the macroscale electrodynamics of simple magnetic circuits and the microscale chemical kinetics of transcriptional regulation in cells. By artificially allowing the inductor coils of the former to elastically expand under the action of their Lorentz pressure, we introduce nonlinearities into the system that we interpret through the lens of our analogy as a schematic model for the impact of crosstalk on the rates of gene expression near steady state. Synthetic plasmids introduced into a cell must compete for a finite pool of metabolic and enzymatic resources against a maelstrom of crisscrossing biological processes, and our theory makes sensible predictions about how this noisy background might impact the expression profiles of synthetic constructs without explicitly modeling the kinetics of numerous interconnected regulatory interactions. We conclude the paper with a discussion of how our theory might be expanded to a broader class of plasmid circuits and how our predictions might be tested experimentally.
    MeSH term(s) Gene Regulatory Networks ; Kinetics ; Models, Biological ; Signal Transduction
    Language English
    Publishing date 2021-05-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.103.042417
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  10. Article ; Online: The family physician's role in long COVID management.

    Mayo, Nicole L / Ellenbogen, Rachel L / Mendoza, Michael D / Russell, Holly Ann

    The Journal of family practice

    2023  Volume 71, Issue 10, Page(s) 426–431

    Abstract: A paucity of both data and therapeutics presents obstacles to care and makes your role in symptom management, psychological support, and referral-all described here-essential. ...

    Abstract A paucity of both data and therapeutics presents obstacles to care and makes your role in symptom management, psychological support, and referral-all described here-essential.
    MeSH term(s) Humans ; Physicians, Family ; Post-Acute COVID-19 Syndrome ; COVID-19 ; Counseling ; Referral and Consultation ; Physician's Role
    Language English
    Publishing date 2023-01-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 197883-4
    ISSN 1533-7294 ; 0094-3509
    ISSN (online) 1533-7294
    ISSN 0094-3509
    DOI 10.12788/jfp.0517
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