Neural oscillations reflect rapidly changing brain excitability states. We have demonstrated previously with EEG-triggered transcranial magnetic stimulation (TMS) of human motor cortex that the positive vs. negative peak of the sensorimotor μ-oscillation reflect corticospinal low-vs. high-excitability states. Invitro experiments showed that induction of long-term depression (LTD) by low-frequency stimulation depends on the postsynaptic excitability state.
 
  We tested the hypothesis that induction of LTD-like corticospinal plasticity in humans by 1Hz repetitive TMS (rTMS) is enhanced when rTMS is synchronized with the low-excitability state, but decreased or even shifted towards long-term (LTP)-like plasticity when synchronized with the high-excitability state.
 
  We applied real-time EEG-triggered 1-Hz-rTMS (900 pulses) to the hand area of motor cortex in healthy subjects. In a randomized double-blind three-condition crossover design, pulses were synchronized to either the positive or negative peak of the seapeutic stimulation.
  Cognitive, and motor performance are reduced in aging, especially with respect to acquisition of new knowledge, which is associated with a neural plasticity decline. Animal models show a reduction of long-term potentiation, but not long-term depression, in higher age. Findings in humans are more heterogeneous, with some studies showing respective deficits, but others not, or mixed results, for plasticity induced by non-invasive brain stimulation. One reason for these heterogeneous results might be the inclusion of different age ranges in these studies. In addition, a systematic detailed comparison of the age-dependency of neural plasticity in humans is lacking so far.
 
  We aimed to explore age-dependent plasticity alterations in adults systematically by discerning between younger and older participants in our study.
 
  We recruited three different age groups (Young 18-30, Pre-Elderly 50-65, and Elderly 66-80 years). Anodal, cathodal, or sham transcranial direct current stimulation (tDCS) was applied over theed in aging.
  To assess population-based prevalence, risk factors, hospitalization, and infection fatality rates (IFR) associated with COVID-19.
 
  We conducted two household surveys among the non-institutionalized adult population from May 30 to June 17, 2020, in Lajeado, an 84,000-inhabitant industrial city in southern Brazil. Primary outcome was prevalence of SARS-CoV-2 infection. Secondary outcomes were COVID-19-related hospitalizations and deaths occurring up to June 20, 2020. We summarized prevalence rates across surveys with meta-analysis. We assessed age-range IFR and hospitalization rate and regressed these rates over age strata using nonlinear (exponential) coefficients of determination (R
  ).
 
  Summarized overall prevalence was 3.40% (95% CI, 2.74-4.18), 34% lower in older adults ≥60 years. Prevalence was 14.3 and 5.4 times higher among household contacts and meat-precessing plant (MPP) workers, respectively. IFR ranged from 0.08% (0.06-0.11) to 4.63% (2.93-7.84) in individuals 20-39 years and ≥60 years, respectively.  https://www.selleckchem.com/products/ipi-549.html  R
  for hospitalization rate and IFR over age were 0.98 and 0.93 (both p-values <0.0001), respectively.
 
  This is the first population-based study in Brazil to estimate COVID-19 prevalence, hospitalization, and fatality rates per age stratum. Rates were largely age-dependent. Household contacts and MPP workers are at higher risk of infection. Our findings are valuable for health-policy making and resource allocation to mitigate the pandemic.
 This is the first population-based study in Brazil to estimate COVID-19 prevalence, hospitalization, and fatality rates per age stratum. Rates were largely age-dependent. Household contacts and MPP workers are at higher risk of infection. Our findings are valuable for health-policy making and resource allocation to mitigate the pandemic.
  Our aim was to determine the prevalence of COVID-19 infection in healthcare workers (HCWs) in a national healthcare system and to understand the risk factors for infection.
 
  The study was conducted at Hamad Medical Corporation (HMC) in Qatar, a national healthcare system with 14 hospitals and >28,000 employees, between March 10 and June 24, 2020. Data on COVID-19+ HCWs were retrieved from the electronic health records and employment records, followed by an email survey and a focused telephone interview.
 
  Among 16,912 HCWs tested, 10.6% tested positive. Hospitalization rate was 11.6%, 1.3% required supplemental oxygen, 0.6% needed intensive care unit admission, and 0.3% required mechanical ventilation. There were no deaths. In a follow-up survey of 393 HCWs, 5% reported acquiring infection at a COVID-19-designated facility and 95% at a non-COVID-19 facility having acquired the infection through accidental exposure to a colleague (45%) or a patient (29%). Full personal protective equipment (PPE) adherence was 82% at COVID-19-designated facilities but only 68% at non-COVID-19 facilities.
 
  COVID- 19 infection among HCWs often occurs among those not directly working with COVID-19 patients. PPE use is less stringent in such settings. Risk of exposure and need for strict PPE must be stressed upon all HCWs in all settings.
 COVID- 19 infection among HCWs often occurs among those not directly working with COVID-19 patients. PPE use is less stringent in such settings. Risk of exposure and need for strict PPE must be stressed upon all HCWs in all settings.
  To investigate the pattern of tuberculosis (TB) care initiation and risk factors for TB diagnostic delay in The Gambia.
 
  In this cross-sectional study, adult patients diagnosed with pulmonary TB (pTB) in public facilities in the Greater Banjul Area of The Gambia were consecutively recruited from October 2016 to March 2017. Diagnostic delay was defined as >21 days from the onset of at least one symptom suggestive of pTB to diagnosis. Logistic regression analyses were used to investigate risk factors for diagnostic delay.
 
  Overall, 216 pTB patients were included in the study; the median (Interquartile Range (IQR)) age was 30 (23-39) years and 167 (77%) were male patients. Of the 216 patients, 110 (50.9%) of them initiated care-seeking in the formal and informal private sector and 181/216 (83.8%) had TB diagnostic delay. The median (IQR) duration from the onset of symptoms to TB diagnosis was 34 (28-56) days. Age groups 18-29 years (aOR 3.2; 95% CI 1.2-8.8 [p = 0.02]) and 30-49 years (aOR 5.1; 95% CI 1.6-16.