Gilberthanna7446
apparatus of soybean plants, resulting in decreased CO2 assimilation and stomatal conductance. In contrast, low translocation of Cu to the leaves, conservative water use, and increased carboxylation efficiency contributed to the partial mitigation of Cu-induced stress. These responses allowed soybean plants treated with Cu levels in the soil as high as 90 mg kg-1 to maintain growth parameters higher than or similar to those of plants in the non-contaminated soil. These data provide a warning for the potentially deleterious consequences of the increasing use of Cu-based fungicides. However, it is necessary to verify how the responses to Cu contamination are affected by different types of soil and soybean cultivars.A pair of composite probes based on aptamer modified polyhedral oligomeric silsesquioxane-perovskite quantum dots (POSS-PQDs-Apt) as signal probe and titanium carbide (Ti3C2) MXenes as quencher were prepared for the first time. They were employed to fabricate one turn-on-type aptasensor relying on fluorescence resonance energy transfer (FRET) for Vibrio parahaemolyticus (VP) determination. The POSS-PQDs-Apt can be adsorbed on the MXenes nanosheets, and its fluorescence was quenched due to the FRET. After the composite probes were incubated with VP for 50 min, the POSS-PQDs-Apt binding with VP can be released from the surface of MXenes, and the signal recovered due to its higher affinity to the VP than MXenes. check details The fluorescence intensity from 519 nm emission of the system was measured at 480 nm excitation. Under In optimized conditions, the assay can determine VP in the concentration range 102 - 106 cfu/mL, and the detection limit (LOD) was 30 cfu/mL using fluorescence detection. The LOD is still 100 cfu/mL by naked eye detection which is proper for on-line monitoring VP in aquaculture water. This method was also used to detect VP in actual samples of seawater, the recovery of spiked samples was between 93% and 106%, and relative standard deviation (RSD) was between 2.7% and 6.7%. The result is consistent with the plate count. Therefore, this assay could provide a candidate platform for screening VP in aquaculture industry.
COVID-19 will continue to disrupt the diagnosis-treatment process of cancer patients. Dr. Abdurrahman Yurtaslan Ankara Oncology Hospital has been considered as a 'non-pandemic' center ('clean') in Ankara, the capital city of Turkey. The other state hospitals that also take care of cancer patients in Ankara were defined as 'pandemic' centers. This study aimed to evaluate hospital admission changes and the precautionary measures in clean and pandemic centers during the pandemic. The effect of these measures and changes on COVID-19 spreading among cancer patients was also evaluated.
The patients admitted to the medical oncology follow-up, new diagnosis, or chemotherapy (CT) outpatient clinics during the first quarter of pandemic period (March 15-June 1, 2020) of each center were determined and compared with the admissions of the same frame of previous year (March 15-June 1, 2019). COVID-19 PCR test results in clean and pandemic centers were compared with each other. Telemedicine was preffered in the clean hospital to keep on follow-up of the cancer patients as 'noninfected'.
In the clean hospital, COVID-19-infected patients that needed to be hospitalized were referred to pandemic hospitals. COVID-19 test positivity rate was eight-fold higher for outpatient clinic admissions in pandemic hospitals (p < 0.001). The number of patients admitted new diagnosis outpatient clinics in both clean and pandemic hospitals decreased significantly during the pandemic compared with the previous year.
We consider that local strategic modifications and defining 'clean' hospital model during infectious pandemic may contribute to protect and treat cancer patients during pandemic.
We consider that local strategic modifications and defining 'clean' hospital model during infectious pandemic may contribute to protect and treat cancer patients during pandemic.
Psychological distress in primary malignant brain tumour (PMBT) patients is associated with poorer outcomes. Radiotherapy (RT) often induces side effects that significantly influence patients' quality of life (QoL), with potential impact on survival. We evaluated distress, anxiety, depression, and QoL over time to identify patients with difficulties in these areas who required more intense psychological support.
Psychological questionnaires-Distress Thermometer (DT), Hospital Anxiety and Depression Scale (HADS), and Functional Assessment of Cancer Therapy (FACT-G and FACT-Br)-were completed at the beginning (T0), in the middle (T1), directly after RT (T2), and 3 months after RT (T3). We personalised the psychological support provided for each patient with a minimum of three sessions ('typical' schedule) and a maximum of eight sessions ('intensive' schedule), depending on the patients' psychological profiles, clinical evaluations, and requests. Patients' survival was evaluated in the glioblastoma multiformtressed', whereas psychological well-being was maintained with typical psychological support in patients who were identified as being 'not distressed'. These results encourage a standardisation of psychological support for all RT patients.
The association of pain and suffering seems intuitive, but evidence substantiating this association is lacking. In studies of cancer patients, fatigue, rather than pain, is the most prevalent and debilitating symptom. This study aimed to compare the correlation of pain and fatigue to suffering, and identify other potential sources of suffering in cancer patients treated in a palliative care unit.
One hundred fifty cancer patients were surveyed. Fifteen variables were measured on a 0- to 10-point scale suffering, pain, level of acceptable pain, effect of pain on quality of life, fatigue, level of acceptable fatigue, effect of fatigue on quality of life, and specific types of suffering. Univariable associations with suffering were made with Pearson correlation (continuous variables) or t test (binary predictors). Multivariable associations with suffering were assessed with linear regression analysis and bootstrapping.
In multivariable analysis, highest pain (parameter estimate 0.38) had a greater impact on suffering than highest fatigue (parameter estimate 0.
