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  1. Book ; Online: Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning

    Rasmussen, Tobias Engelhardt / Sørensen, Siv

    2024  

    Abstract: Broadband infrastructure owners do not always know how their customers are connected in the local networks, which are structured as rooted trees. A recent study is able to infer the topology of a local network using discrete time series data from the ... ...

    Abstract Broadband infrastructure owners do not always know how their customers are connected in the local networks, which are structured as rooted trees. A recent study is able to infer the topology of a local network using discrete time series data from the leaves of the tree (customers). In this study we propose a contrastive approach for learning a binary event encoder from continuous time series data. As a preliminary result, we show that our approach has some potential in learning a valuable encoder.

    Comment: Extended abstract presented as a poster at the Northern Lights Deep Learning Conference 2024 in Troms{\o}, Norway
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Social and Information Networks ; Statistics - Machine Learning
    Publishing date 2024-01-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Evidence for Complex Dynamics in Glassy Fast Ion Conductors: The Case of Sodium Thiosilicates.

    Sørensen, S S / Smedskjaer, M M / Micoulaut, M

    The journal of physical chemistry. B

    2023  Volume 127, Issue 47, Page(s) 10179–10188

    Abstract: Classical molecular dynamics is used to study the dynamics of alkali ions in a promising fast ion conductor glass system, i.e., ... ...

    Abstract Classical molecular dynamics is used to study the dynamics of alkali ions in a promising fast ion conductor glass system, i.e., Na
    Language English
    Publishing date 2023-11-17
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5207
    ISSN (online) 1520-5207
    DOI 10.1021/acs.jpcb.3c02909
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Grid-connected cabin preheating of Electric Vehicles in cold climates - A non-flexible share of the EV energy use

    Lekang Sørensen, Åse / Ludvigsen, Bjørn / Andresen, Inger

    Applied Energy. 2023, p.121054-

    2023  , Page(s) 121054–

    Abstract: The number of EVs is increasing globally. In cold climates, it is generally recommended to use electricity from the grid to preheat the EV cabin before using the car, to extend driving ranges, to ensure comfort, and for safety. A majority of such ... ...

    Abstract The number of EVs is increasing globally. In cold climates, it is generally recommended to use electricity from the grid to preheat the EV cabin before using the car, to extend driving ranges, to ensure comfort, and for safety. A majority of such preheating sessions are happening in the morning hours during the winter, when there is also a high demand for other energy use. It is thus important to understand the power loads for grid-connected preheating of EV cabins. This work presents an experimental study, with 51 preheating sessions of five typical EV models during different outdoor temperatures. The results of the study showed that during the preheating sessions, most of the EVs had a power use of between 3 and 8 kW initially, which was reduced to about 2 to 4 kW after a 10 to 20 minutes initial period. For most of the sessions, the preheating lasted between 15 and 45 minutes. The preheating energy use was found to be up to 2 kWh for most EVs, with a maximum of 5 kWh. Multiple linear regression models were developed, to investigate the relationship between various variables and the energy use for preheating. Finally, hourly energy loads for EV cabin preheating were compared to other energy loads in apartment buildings. The power and energy loads for preheating EV cabins are affected by a number of parameters, such as the specific EV, charge point, preheating duration, temperature levels, and user habits.
    Keywords cold ; electricity ; energy ; regression analysis ; temperature ; winter ; Electric vehicles ; Low temperature ; Cabin preheating ; Power monitoring ; Multiple linear regression ; Non-flexible energy load
    Language English
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Pre-press version ; Use and reproduction
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2023.121054
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Differences in bacterial taxa between treatment-naive patients with major depressive disorder and non-affected controls may be related to a proinflammatory profile.

    Knudsen, Julie Kristine / Bundgaard-Nielsen, Caspar / Leutscher, Peter / Hjerrild, Simon / Nielsen, René Ernst / Sørensen, Suzette

    BMC psychiatry

    2024  Volume 24, Issue 1, Page(s) 84

    Abstract: Background: Major depressive disorder (MDD) is characterized by sadness and anhedonia, but also physical symptoms such as changes in appetite and weight. Gut microbiota has been hypothesized to be involved in MDD through gut-brain axis signaling. ... ...

    Abstract Background: Major depressive disorder (MDD) is characterized by sadness and anhedonia, but also physical symptoms such as changes in appetite and weight. Gut microbiota has been hypothesized to be involved in MDD through gut-brain axis signaling. Moreover, antidepressants display antibacterial properties in the gastrointestinal tract. The aim of this study was to compare the gut microbiota and systemic inflammatory profile of young patients with MDD before and after initiation of antidepressant treatment and/or psychotherapy in comparison with a non-depressed control group (nonMDD).
    Methods: Fecal and blood samples were collected at baseline and at follow-up after four and twelve weeks, respectively. Patients started treatment immediately after collection of the baseline samples. The gut microbiota was characterized by 16 S rRNA gene sequencing targeting the hypervariable V4 region. Plasma levels of 49 unique immune markers were assessed using Mesoscale.
    Results: In total, 27 MDD patients and 32 nonMDD controls were included in the study. The gut microbiota in the baseline samples of MDD versus nonMDD participants did not differ regarding α- or β-diversity. However, there was a higher relative abundance of the genera Ruminococcus gnavus group, and a lower relative abundance of the genera Desulfovibrio, Tyzzerella, Megamonas, Olsenella, Gordonibacter, Allisonella and Rothia in the MDD group compared to the nonMDD group. In the MDD group, there was an increase in the genera Rothia, Desulfovibrio, Gordinobacteer and Lactobacillus, while genera belonging to the Firmicutes phylum were found depleted at twelve weeks follow-up compared to baseline. In the MDD group, IL-7, IL-8 and IL-17b levels were elevated compared to the nonMDD group at baseline. Furthermore, MDI score in the MDD group was found to correlate with Bray-Curtis dissimilarity at baseline, and several inflammatory markers at both baseline and after initiation of antidepressant treatment.
    Conclusion: Several bacterial taxa differed between the MDD group and the nonMDD group at baseline and changed in relative abundance during antidepressant treatment and/or psychotherapy. The MDD group was furthermore found to have a pro-inflammatory profile compared to the nonMDD group at baseline. Further studies are required to investigate the gut microbiota and pro-inflammatory profile of patients with MDD.
    MeSH term(s) Humans ; Depressive Disorder, Major/drug therapy ; Gastrointestinal Microbiome ; Antidepressive Agents ; Cognition ; Psychotherapy
    Chemical Substances Antidepressive Agents
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2050438-X
    ISSN 1471-244X ; 1471-244X
    ISSN (online) 1471-244X
    ISSN 1471-244X
    DOI 10.1186/s12888-024-05547-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Robotic technology (ROBERT

    Sørensen, S L / Poulsen, I / Harvey, L A / Biering-Sørensen, F / Nielsen, J F

    Spinal cord series and cases

    2024  Volume 10, Issue 1, Page(s) 20

    Abstract: Study design: Feasibility study.: Objective: To determine the feasibility of conducting a large trial designed to determine whether the ROBERT: Setting: Specialised SCI centre in Denmark.: Methods: All first-time admitted patients were screened ...

    Abstract Study design: Feasibility study.
    Objective: To determine the feasibility of conducting a large trial designed to determine whether the ROBERT
    Setting: Specialised SCI centre in Denmark.
    Methods: All first-time admitted patients were screened to assess participant recruitment capability. Four people with SCI < 3 months tested a protocol consisting of 60 repetitions of hip flexion in supine conducted with the assistance of the ROBERT
    Results: The recruitment rate was 8% (7 months). The four participants completed 44 out of 48 sessions (92%). No adverse events occurred. One physiotherapist was required to set-up and supervise each session. The active exercise time varied from 7.5 to 17 min. The participants found the ROBERT
    Conclusion: The ROBERT
    Trial registration: ClinicalTrials.gov NCT05558254. Registered 28th September 2022.
    MeSH term(s) Humans ; Feasibility Studies ; Robotic Surgical Procedures ; Spinal Cord Injuries/rehabilitation ; Muscle Strength ; Muscles
    Language English
    Publishing date 2024-04-10
    Publishing country England
    Document type Journal Article
    ISSN 2058-6124
    ISSN (online) 2058-6124
    DOI 10.1038/s41394-024-00630-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Racial differences in the effect of verbal and nonverbal memory on concrete planning for future care needs among older adults: a multi-group structural equation modeling approach.

    Lane, Jamil M / Zimmer, Alexis / Quiñones-Cordero, Maria M / Sörensen, Silvia

    Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition

    2023  , Page(s) 1–18

    Abstract: Concrete planning for future care needs may positively impact older adults' subsequent mental health and quality of life. However, the cognitive factors that facilitate concrete planning among Black and White older adults are still poorly understood. We ... ...

    Abstract Concrete planning for future care needs may positively impact older adults' subsequent mental health and quality of life. However, the cognitive factors that facilitate concrete planning among Black and White older adults are still poorly understood. We investigated whether there are significant differences between Black (
    Language English
    Publishing date 2023-06-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1482447-4
    ISSN 1744-4128 ; 1382-5585
    ISSN (online) 1744-4128
    ISSN 1382-5585
    DOI 10.1080/13825585.2023.2223902
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Success of Cancer Crowdfunding Campaigns: Project and Text Analysis.

    Zhang, Xupin / Tao, Xinqi / Ji, Bingxiang / Wang, Renwu / Sörensen, Silvia

    Journal of medical Internet research

    2023  Volume 25, Page(s) e44197

    Abstract: Background: Recent studies have analyzed the factors that contribute to variations in the success of crowdfunding campaigns for a specific cancer type; however, little is known about the influential factors among crowdfunding campaigns for multiple ... ...

    Abstract Background: Recent studies have analyzed the factors that contribute to variations in the success of crowdfunding campaigns for a specific cancer type; however, little is known about the influential factors among crowdfunding campaigns for multiple cancers.
    Objective: The purpose of this study was to examine the relationship between project features and the success of cancer crowdfunding campaigns and to determine whether text features affect campaign success for various cancers.
    Methods: Using cancer-related crowdfunding projects on the GoFundMe website, we transformed textual descriptions from the campaigns into structured data using natural language processing techniques. Next, we used penalized logistic regression and correlation analyses to examine the influence of project and text features on fundraising project outcomes. Finally, we examined the influence of campaign description sentiment on crowdfunding success using Linguistic Inquiry and Word Count software.
    Results: Campaigns were significantly more likely to be successful if they featured a lower target amount (Goal amount, β=-1.949, z score=-82.767, P<.001) for fundraising, a higher number of previous donations, agency (vs individual) organizers, project pages containing updates, and project pages containing comments from readers. The results revealed an inverted U-shaped relationship between the length of the text and the amount of funds raised. In addition, more spelling mistakes negatively affected the funds raised (Number of spelling errors, β=-1.068, z score=-38.79, P<.001).
    Conclusions: Difficult-to-treat cancers and high-mortality cancers tend to trigger empathy from potential donors, which increases the funds raised. Gender differences were observed in the effects of emotional words in the text on the amount of funds raised. For cancers that typically occur in women, links between emotional words used and the amount of funds raised were weaker than for cancers typically occurring among men.
    MeSH term(s) Male ; Humans ; Female ; Crowdsourcing/methods ; Fund Raising/methods ; Neoplasms ; Empathy ; Software
    Language English
    Publishing date 2023-03-03
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1438-8871
    ISSN (online) 1438-8871
    ISSN 1438-8871
    DOI 10.2196/44197
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Pseudo-Hamiltonian system identification

    Holmsen, Sigurd / Eidnes, Sølve / Riemer-Sørensen, Signe

    2023  

    Abstract: Identifying the underlying dynamics of physical systems can be challenging when only provided with observational data. In this work, we consider systems that can be modelled as first-order ordinary differential equations. By assuming a certain pseudo- ... ...

    Abstract Identifying the underlying dynamics of physical systems can be challenging when only provided with observational data. In this work, we consider systems that can be modelled as first-order ordinary differential equations. By assuming a certain pseudo-Hamiltonian formulation, we are able to learn the analytic terms of internal dynamics even if the model is trained on data where the system is affected by unknown damping and external disturbances. In cases where it is difficult to find analytic terms for the disturbances, a hybrid model that uses a neural network to learn these can still accurately identify the dynamics of the system as if under ideal conditions. This makes the models applicable in some situations where other system identification models fail. Furthermore, we propose to use a fourth-order symmetric integration scheme in the loss function and avoid actual integration in the training, and demonstrate on varied examples how this leads to increased performance on noisy data.

    Comment: 33 pages, 21 figures, including the appendix; v2: restructured and modified the text, added Section 6
    Keywords Electrical Engineering and Systems Science - Systems and Control ; Computer Science - Machine Learning ; Mathematics - Dynamical Systems ; Mathematics - Numerical Analysis ; Primary: 34A55 ; 37M10 ; Secondary: 37J99
    Subject code 000
    Publishing date 2023-05-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Perspectives on Aging-Related Preparation.

    Sörensen, Silvia / Missell, Rachel L / Eustice-Corwin, Alexander / Otieno, Dorine A

    Journal of elder policy

    2022  Volume 1, Issue 2

    Abstract: When older adults face age-related life challenges, anticipating what to expect and how to access potential coping strategies can both prevent and provide the possibility of easier recovery from crises. Aging-Related Preparation (ARP) is defined as the ... ...

    Abstract When older adults face age-related life challenges, anticipating what to expect and how to access potential coping strategies can both prevent and provide the possibility of easier recovery from crises. Aging-Related Preparation (ARP) is defined as the continuum of thoughts and activities about how to age well, often beginning with the awareness of age-related changes, or the anticipation of retirement, and concluding with specifying end-of-life wishes. In the current paper, we introduce the concept of ARP and related formulations regarding plans for aging well, describe both predictors and outcomes of ARP for several the domains of ARP, and consider the elements of ARP within the context of existing social policy. We conclude that ARP is determined by a variety of influences both intrinsic to the older person (e.g., personality, cognitive ability, beliefs about planning, problem-solving skills), linked to social class and education, as well as dependent on family structures, access to and knowledge of options, services, and local community resources, and social policy. We further provide evidence that ARP has positive effects in the domain of pre-retirement planning (for retirement adjustment), of preparation for future care (for emotional well-being), and of ACP (for a good death). However, other domains of ARP, including planning for leisure, housing, and social planning are under-researched. Finally, we discuss policy implications of the existing research.
    Language English
    Publishing date 2022-02-16
    Publishing country United States
    Document type Journal Article
    ISSN 2767-7451
    ISSN (online) 2767-7451
    DOI 10.18278/jep.1.2.7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Utilisation of musculoskeletal ultrasonography for the evaluation of septic arthritis in a patient presenting to the emergency department with fever during the era of COVID-19.

    Perez, Jiodany / Sorensen, Stefani / Rosselli, Michael

    BMJ case reports

    2021  Volume 14, Issue 4

    Abstract: Prompt recognition and treatment of septic arthritis are crucial to prevent significant morbidity and mortality in affected patients. During the current COVID-19 pandemic, anchoring bias may make an already challenging diagnosis like septic arthritis ... ...

    Abstract Prompt recognition and treatment of septic arthritis are crucial to prevent significant morbidity and mortality in affected patients. During the current COVID-19 pandemic, anchoring bias may make an already challenging diagnosis like septic arthritis more difficult to diagnose quickly and efficiently. Musculoskeletal (MSK) point of care ultrasonography (POCUS) is an imaging modality that can be used to quickly and efficiently obtain objective findings that may help a clinician establish the diagnosis of septic arthritis. We report a case where MSK POCUS was a key element in establishing the diagnosis of glenohumeral joint septic arthritis and subdeltoid septic bursitis for a patient that presented to the emergency department with a fever during the era of the COVID-19 pandemic.
    MeSH term(s) Aged ; Arthritis, Infectious/diagnostic imaging ; Arthritis, Infectious/therapy ; COVID-19 ; Emergency Service, Hospital ; Fever ; Humans ; Male ; Point-of-Care Testing ; Ultrasonography
    Language English
    Publishing date 2021-04-13
    Publishing country England
    Document type Case Reports ; Journal Article
    ISSN 1757-790X
    ISSN (online) 1757-790X
    DOI 10.1136/bcr-2021-242370
    Database MEDical Literature Analysis and Retrieval System OnLINE

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