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The RRF funding amounts shown for measures are based on the initial cost estimates provided by the Member States included in the recovery and resilience plans and may as such differ from finalized Commission financial reports, which follow eventual project implementation. The map exclusively serves information purposes and is not an exhaustive database of projects supported by the Recovery and Resilience Facility. Improving access to and the quality of general, vocational, and higher education; focusing on digital education, early childhood education and care; supporting youth employment. The funding amounts shown reflect the initial cost estimates included in the national recovery and resilience plans. It is not an exhaustive database of projects supported by the Facility and will be regularly updated as the implementation progresses.
CD56highCD16+/− NK cells aredescribed by NKG2A, low level of perforin, and are primarily characterized bycytokine production.16,30,31 Therefore, it is likely that the changes in the frequencies oftwo subsets of NK cells during the disease recovery are protective mechanisms toeliminate the SARS-COV2 and thereby reducing inflammation occurred in the earlystages of disease. Our data revealed that the percentages of Th1, Th2, andTh17 cells were significantly lower in patients than healthy control (Figure 3(a)–(c) and (j)–(l), P Figure 3(d)–(h) and (m)–(q), P Figure 3(f), (h), (o), and (q), P Figure3(d), (e),(g), (m), (n), and (p)). The number of CD56low CD16+ NK cells in patients wassignificantly increased compared to healthy subjects. To determine the percentages of activated T cells, exhausted T cells, Th1 cells,Th2 cells, Th17 cells, Tregs, B cells, NK cells, and monocytes in peripheralblood of COVID-19 patients (the first day and 10 days of initiation oftherapeutic approaches) and healthy subjects, PBMCs were stained with differentmonoclonal antibodies or matched to isotype control IgG for 30 min at4○C. These changes may play afundamental role in reducing disease severity through regulating cytokineproductions involved in the inflammation and functions of various immune cells.Nevertheless, larger and more multicenter studies are needed to validate theseconclusions. A limitation of the study was the lack of determinationof immune system differences between alive and dead patients with COVID-19 during arecovery period.
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COVID-19 Response

The plasma levels ofIL-1a, IL-1β, IL-6, TNF-α, and IL-10 were significantly higher in COVID-19 patientsthan the control group. The depicted results arerepresentative of 40 independent experiments for control group, 57independent experiments for COVID-19 patients at the first day oftreatment, and 51 independent experiments for COVID-19 patients in10 days of treatment. Data were analyzed by GraphPad Prism 6 (GraphPad Software, USA) and are expressedas the mean standard error of the mean (SEM) and mean ± standard deviation (SD).The normal distribution of data was determined by Kolmogrov–Smirnov test. The levels of erythrocyte sediment rate (ESR) and C-reactive protein (CRP) ofCOVID-19 patients were measured using the erythrocyte sedimentation rate (ESR)analyzer (Parsian Teb, Iran) and Mindray BS-800 automated biochemistry analyzer(Shenzhen Mindray Bio-Medical Electronics, China), respectively.

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• Correlations of lymphocyte numbers with the value of ESR and numbers ofTh2 cells and monocytes in COVID-19 patients.
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Streets for Pandemic Response & Recovery

In disagreement with other reports showing increasedfrequency of B cells in the late stage of recovery,17 we observed that the percentage of this cell was decreased followingrecovery. Moreinterestingly, the percentages of exhausted CD4+ T cells and exhausted CD8+ T cellswere higher in the early revery play login stage of recovery than the late stage of recovery. Thisobservation was in contrast with previous study showing severe cases of COVID-19tend to have lower percentages of monocytes.24 This discrepancy may be attributed to disease stage which patients wereevaluated.

The cytokine profiles of patients with COVID-19

In this study, the mean ± SD of age of patients was 67.8 ± 15.18, while it was66.01 ± 7.11 in healthy subjects. In thisstudy, CD8+ CD25+ CD69+ cells and CD14+ CD16+ CD11b+ cells were respectivelyconsidered as the activated CD8+ T cells and monocytes. To determine the immune situation of patients, theblood sampling (5 ml) from healthy subjects was also performed. This is an analytical observational (case-control) study performed on 57 patientswith COVID-19, who were referred to a COVID-19 center, Isfahan, Iran from March2020 to April 2020, and 40 healthy individuals without any the signs andsymptoms of acute respiratory infections and other health problems affected theimmune system. Although the pathogenesis of COVID-19 is not well understood yet, defects in functionand/or regulation of the immune system such as the storm of inflammatory cytokinesand lymphopenia can contribute to the intensity of pathogenic coronavirusinfections.11–13 In despite ofsome reports pointing to impacts of immune responses in the pathogenesis of COVID-19,14 the accurate roles of immune cells in developing or inhibiting the diseaseare unknown.
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I know the email address and password. I lost my account close to 2 months ago when I deleted the game trying to fix a login issue. I was wondering if there is anyone who has not spent any money on the game lost their account. Improving the resilience, accessibility and quality of health and long-term care, including measures to advance their digitalisation; increasing the effectiveness of public administration systems. Improving social and territorial infrastructure and services, including social protection and welfare systems, the inclusion of disadvantaged groups; supporting employment and skills development; creating high-quality, stable jobs. Promoting the roll-out of very high-capacity networks, the digitalisation of public services, government processes, and businesses, in particular SMEs; developing basic and advanced digital skills; supporting digital-related R&D and the deployment of advanced technologies.
Having considered that innate immunity provides the early line of defense againstviral infections, some innate immune cells were studied in the course of 10 daysafter initiation of treatment, which is almost a period that the disease isdeteriorated and may result in death or recovery from COVID-19.27,28 Our datashowed that CD56lowCD16+ NK cell number was significantlylower in the early stage of recovery than the late stage of recovery; however itsfrequency was noticeably increased compared to healthy subjects. Moreover, the authors have shown that CD4+and CD8+ T cell numbers were notably decreased.17 In agreement with previous study, our data revealed that the frequencies ofTh cells (Th1, Th2, and Th17 cells) in patients were significantly lower in theearly recovery stage than the late recovery stage and healthy individuals. B cells showed an increasedpercentage in patients compared to healthy subjects, while this increase wassignificantly reduced in the late stage of recovery (Figure 3(i) and (r),P Open in a new tabThe percentages of adaptive immune cells in COVID-19 and healthyindividuals. Its frequency wassignificantly higher in the late recovery stage than early recovery stage (Figure 2(a) and (c),P highCD16+/− NK cells in the early stage of recovery was significantlyincreased in comparison with the late stage of recovery and healthy individuals(Figure 2(a) and(d),P Figure2(b) and (e),P Open in a new tabThe frequencies of innate immune cells in COVID-19 and control subjects.The percentages of CD56low CD16+ NK cells,CD56high CD16+/− NK cells, and monocytes werestudied by flow cytometry (a and b) and then analyzed (c–e).

• The CD3+ cell population was also determined using the gating oflymphocyte population and was then used to measure the percentages of B cells(CD3− CD19+ CD22+ cells), exhausted CD4+ T cells (CD3+ CD4+ PD-1+ cells),exhausted CD8+ T cells (CD3+ CD8+ PD-1+ cells), CD56lowCD16+ NK cells (CD3− CD56lowCD16+ cells), and CD56high CD16+/− NK cells(CD3−CD56high CD16+/− cells).
• To determine the immune situation of patients, theblood sampling (5 ml) from healthy subjects was also performed.
• As shown inFigure 4(a)–(d),statistically significant reduction in the levels of pro-inflammatory cytokines(IL-1α, IL-1β, IL-6, and TNF-α) in patients were observed during a recovery,with the exception of IL-1β level (P Figure 4(e),P Figure 4(f)).
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• Data were analyzed by GraphPad Prism 6 (GraphPad Software, USA) and are expressedas the mean standard error of the mean (SEM) and mean ± standard deviation (SD).The normal distribution of data was determined by Kolmogrov–Smirnov test.
• The levels of erythrocyte sediment rate (ESR) and C-reactive protein (CRP) ofCOVID-19 patients were measured using the erythrocyte sedimentation rate (ESR)analyzer (Parsian Teb, Iran) and Mindray BS-800 automated biochemistry analyzer(Shenzhen Mindray Bio-Medical Electronics, China), respectively.

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I have never been hacked, never uploaded a video, never left a comment, never received a warning, and never violated any guidelines. I should add that I am attempting to log in from a "familiar device" — the same computer I used to create the account in the first place. I cant even request a "resolution" from Google because one must be logged in to the account to even make the request.It is very important that I be able to log back into the account, and there's absolutely no reason why I should be frozen out. Twice now II have waited a full 7+ days between log in attempts, so it no longer would think there was "unusual activity," but waiting a week didn't help either time.Why is this happening and how can I get back into my own account?

The resultsare representative of 57 independent experiments for COVID-19 patientsat the first day of treatment, 51 independent experiments for COVID-19patients in 10 days of treatment, and 40 independent experiments forhealthy individuals. The demographic, laboratory, and clinical characteristics of COVID-19 andhealthy subjects. Table2 depicts the demographic and other characteristics of COVID-19 andhealthy subjects. Of the 57 patients, 51 (89.48%) weredischarged from hospital and 6 (10.52%) died during the study. Antibodies used for determing the changes of the immune system ofCOVID-19 patients by flow cytometry.
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Map of projects supported by the Recovery and Resilience Facility

This studyinvestigated how the immune system changes were related to disease severity inCOVID-19 patients. Moreover, other data indicated thatthe levels of these cytokines were reduced during the disease recovery. PBMCs were isolated from healthy subjects and COVID-19patients and then stained with different monoclonal antibodies. To determine the situations of humoral and cellular immunity in patients withCOVID-19, the frequencies of Th1, Th2, Th17, Treg, activated CD4+T cells,activated CD8+ T cells, exhausted CD4+ T cells, exhausted CD8+ T cells, and Bcells in COVID-19 patients were investigated after 1 and 10 days of initiationof therapeutic methods. Correlations of lymphocyte numbers with the value of ESR and numbers ofTh2 cells and monocytes in COVID-19 patients. Some patients hadfatigue, mild shortness of breath, myalgia, loss of weight, smell, and taste inthe late recovery stage.
Moreover, Qinet al. indicated that suppressor and helper T cell percentages were lower inpatients than normal group. In the next step, the adaptive immune system of COVID-19 subjects was studied after 1and 10 days of initiation of therapeutic methods. In an attempt to discover the frequency of other cells of innateimmunity, the number of monocytes was also assessed. As shown inFigure 4(a)–(d),statistically significant reduction in the levels of pro-inflammatory cytokines(IL-1α, IL-1β, IL-6, and TNF-α) in patients were observed during a recovery,with the exception of IL-1β level (P Figure 4(e),P Figure 4(f)). Having considered that severe COVID-19 is largely related to a cytokine storm,cytokine profiles of COVID patients were assessed during a recovery.
The CD3+ cell population was also determined using the gating oflymphocyte population and was then used to measure the percentages of B cells(CD3− CD19+ CD22+ cells), exhausted CD4+ T cells (CD3+ CD4+ PD-1+ cells),exhausted CD8+ T cells (CD3+ CD8+ PD-1+ cells), CD56lowCD16+ NK cells (CD3− CD56lowCD16+ cells), and CD56high CD16+/− NK cells(CD3−CD56high CD16+/− cells). Afterwards, the lymphocyte population was gatedto assess the frequencies of the CD4+ cells which were used to determine thepercentages of Th1 cells (CD4+ T-bet+ IFN-γ+ cells), Th2 cells (CD4+ IL-4+GATA3+ cells), Th17 cells (CD4+ IL-17α+ RORγt+ cells), Tregs (CD4+CD127low FoxP3+ cells), and activated CD4+ T cells (CD4+ CD25+CD69+ cells). At the first day (the early recovery stage) and 10 days of initiation oftherapeutic methods (the late recovery stage), heparinized blood samples (5 ml)were obtained from patients. All patients had pulmonary involvement and were not on treatment withdrugs influencing the immune system and antibodies production (i.e. steroids,sulfasalazine, phenytoin, and antimalarial drugs) prior to study initiation.