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  1. Article: Collective Bargaining during Times of Crisis: Recommendations from the COVID-19 Pandemic.

    Fay, Daniel L / Ghadimi, Adela

    Public administration review

    2020  Volume 80, Issue 5, Page(s) 815–819

    Abstract: The COVID-19 pandemic dramatically changed employment across sectors in ... ...

    Abstract The COVID-19 pandemic dramatically changed employment across sectors in 2020
    Keywords covid19
    Language English
    Publishing date 2020-07-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2045553-7
    ISSN 1540-6210 ; 0033-3352
    ISSN (online) 1540-6210
    ISSN 0033-3352
    DOI 10.1111/puar.13233
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  2. Article: Radiation Exposure and Bell's Palsy: A Hypothetical Association.

    Khateri, M / Cheraghi, S / Ghadimi, A / Abdollahi, H

    Journal of biomedical physics & engineering

    2018  Volume 8, Issue 3, Page(s) 337–340

    Abstract: Bell's palsy is an idiopathic peripheral nerve palsy involving the facial nerve. It accounts for 60 to 75% of all cases of unilateral facial paralysis. The main mechanisms to induce BP remain unclear, but infection, ischemic condition and ... ...

    Abstract Bell's palsy is an idiopathic peripheral nerve palsy involving the facial nerve. It accounts for 60 to 75% of all cases of unilateral facial paralysis. The main mechanisms to induce BP remain unclear, but infection, ischemic condition and immunodeficiency may contribute to the development of Bell's palsy. Accumulating evidence has shown several factors can trigger the reactivation of latent HSV including psychological stressors, physical stressors and immunosuppression. Ionization and non-ionization radiations are of importance of physical stressors. Some data have shown radiation can reactivate HSVs. Based on preliminary studies showing radiation reactivation of HSVs, we aimed to hypothesize radiation (in both forms of ionization and non-ionization) may cause Bell's palsy. In the future, the role of radiotherapy, radiofrequency radiation from mobile phones and wireless devices in HSV reactivation and Bell's palsy should be investigated.
    Language English
    Publishing date 2018-09-01
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2673599-4
    ISSN 2251-7200
    ISSN 2251-7200
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  3. Article ; Online: Effective features extraction by analyzing heart sound for identifying cardiovascular diseases related to COVID-19: A diagnostic model.

    Sabouri, Zahra / Ghadimi, Abbas / Kiani-Sarkaleh, Azadeh / Khoshhal Roudposhti, Kamrad

    Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

    2022  Volume 236, Issue 9, Page(s) 1430–1448

    Abstract: Incidence and exacerbation of some of the cardiovascular diseases in the presence of the coronavirus will lead to an increase in the mortality rate among patients. Therefore, early diagnosis of such diseases is critical, especially during the COVID-19 ... ...

    Abstract Incidence and exacerbation of some of the cardiovascular diseases in the presence of the coronavirus will lead to an increase in the mortality rate among patients. Therefore, early diagnosis of such diseases is critical, especially during the COVID-19 pandemic (mild COVID-19 infection). Thus, for diagnosing the heart diseases related to the COVID-19, an automatic, non-invasive, and inexpensive method based on the heart sound processing approach is proposed. In the present study, a set of features related to the nature of heart signals is defined and extracted. The investigated features included morphological and statistical features in the heart sound frequencies. By extracting and selecting a set of effective features related to the mentioned diseases, and avoiding to use different segmentation and filtering techniques, dependence on a limited dataset and specific sampling procedures has been eliminated. Different classifiers with various kernels are applied for diagnosis in data unbalanced and balanced conditions. The results showed 93.15% accuracy and 93.72% F1-score using 60 effective features in data balanced conditions. The identification system using the extracted features from Azad dataset is able to achieve the desired results in a generalized dataset. In this way, in the shortest possible sampling time, the present system provided an effective and generalizable method and a practical model for diagnosing important cardiovascular diseases in the presence of coronavirus in the COVID-19 pandemic.
    MeSH term(s) COVID-19/diagnosis ; COVID-19 Testing ; Cardiovascular Diseases/diagnosis ; Heart Sounds ; Humans ; Pandemics ; Phonocardiography/methods ; Signal Processing, Computer-Assisted
    Language English
    Publishing date 2022-07-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1065942-0
    ISSN 2041-3033 ; 0046-2039 ; 0954-4119
    ISSN (online) 2041-3033
    ISSN 0046-2039 ; 0954-4119
    DOI 10.1177/09544119221112523
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2652: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  4. Article ; Online: Medizinisch-beruflich orientierte Rehabilitation in der Neurologie : Wirksam auf Basis individualisierter Rehabilitandenidentifikation.

    Leniger, Tobias / Ghadimi, Andrea

    Der Nervenarzt

    2019  Volume 90, Issue 12, Page(s) 1261–1269

    Abstract: Background: Evidence for the effectiveness of work-related medical rehabilitation (WMR) for a successful return to work (RTW) is lacking for neurological diseases. The aim of this study was therefore to correlate the cross-indication screening ... ...

    Title translation Work-related medical rehabilitation in neurology : Effective on the basis of individualized rehabilitant identification.
    Abstract Background: Evidence for the effectiveness of work-related medical rehabilitation (WMR) for a successful return to work (RTW) is lacking for neurological diseases. The aim of this study was therefore to correlate the cross-indication screening instrument for the identification of the demand of work-related medical rehabilitation (SIMBO‑C) with the individualized clinical anamnestic determination of severe restrictions of work ability (SRWA) as a required access criterion for admittance to neurological WMR. A further aim was to compare the rate of successful RTW in rehabilitants with and without WMR measures 6 months after inpatient rehabilitation.
    Methods: On admission SRWA were routinely screened by an individualized clinical anamnestic determination with subsequent assignment to WMR or conventional rehabilitation. At the beginning of rehabilitation the SIMBO-C was applied and 6 months after the rehabilitation the RTW status was surveyed.
    Results: Of the 80 rehabilitants 44 (55%) received WMR. On admission they showed a higher SIMBO-C score (41.3 ± 15.7 vs. 26.2 ± 18.6 points, p = 0.002), on discharge more often locomotor and psychomental disorders (55% vs. 36%, p = 0.10 and 46% vs. 22%, p = 0.03, respectively) and longer incapacitation times after rehabilitation of > 4 weeks (66% vs. 33%, p = 0.02) compared to those without WMR. At 6 months follow-up after discharge the 2 groups did not significantly differ with respect to successful RTW (61% vs. 66%, p = 0.69). The SIMBO-C (cut-off ≥ 30 points) showed a medium correlation with the individualized clinical anamnestic determination of SRWA (r = 0.33, p = 0.01).
    Conclusion: The applied neurological WMR concept accomplished a comparable RTW rate between rehabilitants with SRWA by a WMR and those without SRWA and conventional rehabilitation. The SIMBO-C should only be used in combination with the individualized anamnesis to identify SRWA.
    MeSH term(s) Humans ; Mass Screening ; Nervous System Diseases/diagnosis ; Nervous System Diseases/rehabilitation ; Neurology/trends ; Return to Work ; Surveys and Questionnaires
    Language German
    Publishing date 2019-08-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 123291-5
    ISSN 1433-0407 ; 0028-2804
    ISSN (online) 1433-0407
    ISSN 0028-2804
    DOI 10.1007/s00115-019-0768-5
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    In stock of ZB MED Cologne/Königswinter

    Ui II Zs.100: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 446: Show issues

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  5. Article ; Online: Collective Bargaining during Times of Crisis

    Fay, Daniel L. / Ghadimi, Adela

    Public Administration Review

    Recommendations from the COVID ‐19 Pandemic

    2020  Volume 80, Issue 5, Page(s) 815–819

    Keywords Marketing ; Sociology and Political Science ; Public Administration ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2045553-7
    ISSN 1540-6210 ; 0033-3352
    ISSN (online) 1540-6210
    ISSN 0033-3352
    DOI 10.1111/puar.13233
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Collective Bargaining During Times of Crisis: Recommendations from the COVID-19 Pandemic

    Fay, Daniel L / Ghadimi, Adela

    PAR. Public administration review

    Abstract: The COVID-19 dramatically changed employment across sectors in 2020. This Viewpoint essay examines public sector labor relations during the pandemic and describes the impact bargaining process used to protect public employees. We draw on our own ... ...

    Abstract The COVID-19 dramatically changed employment across sectors in 2020. This Viewpoint essay examines public sector labor relations during the pandemic and describes the impact bargaining process used to protect public employees. We draw on our own experience in impact bargaining negotiations and the public labor relations, conflict management, and civil service reform literatures to develop recommendations for public union labor leaders in times of crisis. We suggest that public unions have an important role in crisis management, but must act strategically in order to develop good working relationships with leadership and successfully negotiate employee protections in uncertain times. This article is protected by copyright. All rights reserved.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #306196
    Database COVID19

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  7. Article ; Online: Inferring stimulation induced short-term synaptic plasticity dynamics using novel dual optimization algorithm.

    Ghadimi, Alireza / Steiner, Leon Amadeus / Popovic, Milos R / Milosevic, Luka / Lankarany, Milad

    PloS one

    2022  Volume 17, Issue 9, Page(s) e0273699

    Abstract: Experimental evidence in both human and animal studies demonstrated that deep brain stimulation (DBS) can induce short-term synaptic plasticity (STP) in the stimulated nucleus. Given that DBS-induced STP may be connected to the therapeutic effects of DBS, ...

    Abstract Experimental evidence in both human and animal studies demonstrated that deep brain stimulation (DBS) can induce short-term synaptic plasticity (STP) in the stimulated nucleus. Given that DBS-induced STP may be connected to the therapeutic effects of DBS, we sought to develop a computational predictive model that infers the dynamics of STP in response to DBS at different frequencies. Existing methods for estimating STP-either model-based or model-free approaches-require access to pre-synaptic spiking activity. However, in the context of DBS, extracellular stimulation (e.g. DBS) can be used to elicit presynaptic activations directly. We present a model-based approach that integrates multiple individual frequencies of DBS-like electrical stimulation as pre-synaptic spikes and infers parameters of the Tsodyks-Markram (TM) model from post-synaptic currents of the stimulated nucleus. By distinguishing between the steady-state and transient responses of the TM model, we develop a novel dual optimization algorithm that infers the model parameters in two steps. First, the TM model parameters are calculated by integrating multiple frequencies of stimulation to estimate the steady state response of post-synaptic current through a closed-form analytical solution. The results of this step are utilized as the initial values for the second step in which a non-derivative optimization algorithm is used to track the transient response of the post-synaptic potential across different individual frequencies of stimulation. Moreover, in order to confirm the applicability of the method, we applied our algorithm-as a proof of concept-to empirical data recorded from acute rodent brain slices of the subthalamic nucleus (STN) during DBS-like stimulation to infer dynamics of STP for inhibitory synaptic inputs.
    MeSH term(s) Algorithms ; Animals ; Deep Brain Stimulation/methods ; Electric Stimulation ; Humans ; Neuronal Plasticity/physiology ; Subthalamic Nucleus/physiology ; Synaptic Potentials
    Language English
    Publishing date 2022-09-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0273699
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  8. Article: Metformin Improves the Hepatic Steatosis Index in Non-Obese Patients with Polycystic Ovary Syndrome.

    Riemann, Annika / Blaschke, Martina / Jauho-Ghadimi, Annukka / Siggelkow, Heide / Gollisch, Katja Susanne Claudia

    Journal of clinical medicine

    2022  Volume 11, Issue 15

    Abstract: Non-alcoholic fatty liver disease (NAFLD) is a common yet little recognized health problem in women with polycystic ovary syndrome (PCOS). In a retrospective setting, we investigated the effects of metformin treatment on the hepatic steatosis index (HSI) ...

    Abstract Non-alcoholic fatty liver disease (NAFLD) is a common yet little recognized health problem in women with polycystic ovary syndrome (PCOS). In a retrospective setting, we investigated the effects of metformin treatment on the hepatic steatosis index (HSI) as a readily available biomarker panel for NAFLD. HSI values of >36 are considered to be highly suggestive for NAFLD. In our cohort, HSI values indicating NAFLD were found in 60/81 (74.1%) women at baseline. The mean HSI improved significantly after the metformin treatment from 43.2 ± 1.0 to 41.0 ± 1.1. Subgroup analyses of non-obese (body mass index (BMI) < 30 kg/m2), obese (BMI 30−35 kg/m2) and very obese (BMI > 35 kg/m2) women yielded mean baseline HSI values of 35.5 ± 4.5, 41.2 ± 2.7 and 51.2 ± 4.7, respectively. A significant improvement in the HSI of 1.5 ± 2.1 was observed after metformin treatment in non-obese women but not in the obese subgroups. The data suggest a new aspect of metformin treatment in non-obese PCOS patients, namely, a possible improvement in NAFLD. This study highlighted hepatic steatosis as a common comorbidity in PCOS patients that can severely affect their long-term health, and therefore, deserves more attention in the management of PCOS patients.
    Language English
    Publishing date 2022-07-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm11154294
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  9. Article: Air-to-Air Heat and Moisture Recovery in a Plate-Frame Exchanger Using Composite and Asymmetric Membranes.

    Jahed Mogharrab, Amir / Sharifian, Seyedmehdi / Asasian-Kolur, Neda / Ghadimi, Ali / Haddadi, Bahram / Harasek, Michael

    Membranes

    2022  Volume 12, Issue 5

    Abstract: The present work studied an air-to-air exchanger comprising a flat plate module with a diagonal channel and a counterflow configuration for the air streams. The objective of this study was to remove moisture and sensible heat from an exhaust air stream ... ...

    Abstract The present work studied an air-to-air exchanger comprising a flat plate module with a diagonal channel and a counterflow configuration for the air streams. The objective of this study was to remove moisture and sensible heat from an exhaust air stream by indirect contact with another air stream. The temperature and flow rate of the exhaust air was in the range of 40-80 °C and 1-5 L·min
    Language English
    Publishing date 2022-04-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2614641-1
    ISSN 2077-0375
    ISSN 2077-0375
    DOI 10.3390/membranes12050484
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  10. Article ; Online: Ionic liquid tethered PEG-based polyurethane-siloxane membranes for efficient CO

    Ghadimi, Ali / Gharibi, Reza / Yeganeh, Hamid / Sadatnia, Behrouz

    Materials science & engineering. C, Materials for biological applications

    2019  Volume 102, Page(s) 524–535

    Abstract: This study introduces a new polyethylene glycol (PEG) based polyurethane-siloxane membrane containing a quaternary ammonium ionic liquid for ... ...

    Abstract This study introduces a new polyethylene glycol (PEG) based polyurethane-siloxane membrane containing a quaternary ammonium ionic liquid for CO
    MeSH term(s) Calorimetry, Differential Scanning ; Carbon Dioxide/analysis ; Ionic Liquids/chemical synthesis ; Ionic Liquids/chemistry ; Membranes, Artificial ; Methane/analysis ; Permeability ; Polyethylene Glycols/chemical synthesis ; Polyethylene Glycols/chemistry ; Polyurethanes/chemical synthesis ; Polyurethanes/chemistry ; Proton Magnetic Resonance Spectroscopy ; Siloxanes/chemical synthesis ; Siloxanes/chemistry ; Spectroscopy, Fourier Transform Infrared ; Temperature ; Tensile Strength ; Thermogravimetry
    Chemical Substances Ionic Liquids ; Membranes, Artificial ; Polyurethanes ; Siloxanes ; polyethyleneglycol-polyurethane ; Carbon Dioxide (142M471B3J) ; Polyethylene Glycols (3WJQ0SDW1A) ; Methane (OP0UW79H66)
    Language English
    Publishing date 2019-04-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012160-X
    ISSN 1873-0191 ; 0928-4931
    ISSN (online) 1873-0191
    ISSN 0928-4931
    DOI 10.1016/j.msec.2019.04.057
    Database MEDical Literature Analysis and Retrieval System OnLINE

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