Tag: nevin manimala

Heliyon. 2023 Aug 16;9(8):e19173. doi: 10.1016/j.heliyon.2023.e19173. eCollection 2023 Aug.

ABSTRACT

Costa Rica’s rice production, a large determinant of the country’s food security, is being negatively impacted by frequently increasing periods of intense drought. Costa Rican scientists have applied CRISPR/Cas9 to develop drought resistant rice varieties they believe the country’s rice producers could benefit from. However, would Costa Ricans consume gene edited rice or products derived from this crop? A three-part, 26-question survey administered in-person to 1096 Costa Ricans uncovers their attitudes, knowledge, and perceptions of gene editing technology and crops. Multiple regressions were built where the independent variables were age, gender, education level, and subjective economic situation. No statistically significant relationships were found in the regression coefficients. Moreover, the k-means procedure (cluster analysis) was used to categorize respondents according to their attitudes on the consumption of gene-edited foods: negative, neutral, and positive. Results show that overall, Costa Rican consumers are open to the application of gene editing in agriculture and would consider consuming products derived from the application of the technology. They are also open to gene editing technology being used to address human and animal health issues. However, Costa Rican consumers are not open to gene editing being used to “design” human traits. This study adds evidence to the emerging literature on the acceptance of gene-edited food. It also highlights the importance of informing societies of just how vulnerable agriculture, and therefore food security, is to the increasingly adverse effects of climate change.

PMID:37664745 | PMC:PMC10468379 | DOI:10.1016/j.heliyon.2023.e19173

Heliyon. 2023 Aug 19;9(8):e19320. doi: 10.1016/j.heliyon.2023.e19320. eCollection 2023 Aug.

ABSTRACT

The agricultural sector in Kenya has witnessed a proliferation of marketing platforms in recent years. However, there has been a noticeable reluctance among farmers to adopt and utilize these platforms for marketing their produce. In light of this, the present study aimed to identify the factors influencing access to and utilization of agricultural marketing platforms. Specifically, the study focused on M-shamba as a representative local marketing platform. A sample of 375 potato farmers from Nakuru county participated in the study, responding to semi-structured questionnaires administered through the survey CTO platform. Descriptive statistics and the Heckprobit model were employed for data analysis. The Heckprobit model encompassed both a selection equation and an outcome equation. The results obtained from the selection equation of the Heckprobit model revealed that factors such as age, off-farm income, farm income, years of potato farming, and access to extension services significantly increased the likelihood of accessing M-shamba. Furthermore, the outcome equation indicated that age, gender of the marketing decision maker, household size, farm income, ranking of potato farming as the primary enterprise, and years of potato farming significantly influenced the utilization of M-shamba in potato marketing. Based on the findings, the study suggests that stakeholders involved in the development of digital marketing platforms should prioritize extensive training and knowledge dissemination, particularly targeting older farmers, to facilitate enhanced access and utilization of such platforms. These efforts will contribute to the promotion of efficient digital marketing practices in the agricultural sector.

PMID:37664732 | PMC:PMC10469985 | DOI:10.1016/j.heliyon.2023.e19320

Heliyon. 2023 Aug 19;9(8):e19281. doi: 10.1016/j.heliyon.2023.e19281. eCollection 2023 Aug.

ABSTRACT

Scattering visiometers are widely used to measure atmospheric visibility; however, visibility is difficult to measure accurately because the extinction coefficient decays exponentially with visual range according to the Koschmid’s law. Moreover, models for predicting visibility are lacking due to the lack of accurate visibility observations to verify. This study formulated an artificial intelligence method for measuring atmospheric visibility in five topographical regions: hills, basins, plains, alluvial plains, and rift valleys. Four air pollution factors and five meteorological factors were selected as independent variables for predicting visibility by using three artificial intelligence models, namely a support vector machine (SVM) model, a multilayer perceptron (MLP) model, and an extreme gradient boosting (XGBoost) model. The GridSearchCV function was used to automatically tune model hyperparameters to determine the optimal parameter values of the three models for the five target areas. The predictions of the aforementioned three models underwent considerable considerably scale shrinking relative to observed values. The inappropriately low predicted visibility values might have been caused by the use of inaccurate observations for training. To solve this problem, formulas of scale ratio and downshift were used to adjust the predicted values. Statistical measurements of model performance measures by five quantitative methods (e.g., correlation coefficient, mean absolute error) showed that adjusted predictions were in strong agreement with the observation data for the five target areas. Therefore, the adjusted prediction has high reliability. Because of obvious differences in the topography, weather, and air quality of the five target areas, different models provided optimal predictions for different areas. In densely populated western Taiwan, the MLP model is most suitable for predicting visibility on hills whereas the XGBoost model is most suitable for predicting visibility on basins and plains. In eastern Taiwan, the SVM model is most suitable for predicting visibility on alluvial plains and rift valleys. Thus, the optimal prediction model should be identified according to the conditions in each area. These results can inform decision-making processes or improve visibility predicting in specific areas.

PMID:37664727 | PMC:PMC10469964 | DOI:10.1016/j.heliyon.2023.e19281

Heliyon. 2023 Aug 16;9(8):e19209. doi: 10.1016/j.heliyon.2023.e19209. eCollection 2023 Aug.

ABSTRACT

BACKGROUND: The COVID-19 pandemic has directly affected specially nurses, not only those on the front lines but also nurse managers.

AIMS: To assess and compare stress levels of nurse managers before and during the pandemic, and to identify predictive factors.

METHOD: Cross-sectional studies were carried out in two moments, before and during pandemic. 102 manager nurses were recruited before the sanitary crisis (2018) and 87 during the health crisis (2020). Perceived stress was measured with the Perceived Stress Scale-14 and quality of professional life, job demands, motivation and managerial support were assessed with the Professional Quality of Life Questionnaire. Socio-demographic and job-related variables were also analysed. Statistical analysis was performed using student’s t-test, correlations and multiple regression analysis.

RESULTS: The majority of nurse managers were women, married, who worked the morning shift. 78.2% managed nursing personnel who worked with COVID patients. They suffered a significant increase in both job demands and perceived stress level in the pandemic. Job demands, working in shifts morning, being young and being unmotivated were predictors of perceived stress level according to multiple linear regression analysis.

CONCLUSION: Perceived stress was greatest during the COVID-19 pandemic. Both, before and during the pandemic, job demands are central predictors of nurse managers’ general perceived stress. It is necessary to adapt the workplace to personal characteristics of the nurse manager and increase actions to enhance their motivation and reduce their job demands to prevent stress.

PMID:37664725 | PMC:PMC10469051 | DOI:10.1016/j.heliyon.2023.e19209

Neurocirugia (Astur : Engl Ed). 2023 Sep-Oct;34(5):256-267. doi: 10.1016/j.neucie.2022.11.025.

ABSTRACT

OBJECTIVE: The purpose of this study is to analyze a series of patients with intradural extramedullary tumors (IDEM) and assess factors that may modify or determine the final long term outcome and management.

MATERIALS AND METHODS: Single Center, retrospective study of a series of surgical patients with IDEM lesions from our Institution operated between 2010 and 2021. Patients with less than 6 months of follow up were excluded. Several preoperative demographics, clinical, imaging and surgical features, as well as histopathology, recurrence and adjuvancy were assessed. Patients’ final clinical outcome was categorized using the McCormick scale.

RESULTS: A total of 203 patients with a mean follow-up of 30.50 months (range 6-130) were included. 57.64% of the analyzed population was female and the mean age was 50.51 years. The most frequent location of the tumors was dorsal (34.98%) followed by the lumbar region (32.02%). Total resection was achieved in 84.24% of cases, and the most frequent histopathology was Schwannoma (36.45%), followed by Meningioma (30.05%). Pain was the most usual initial symptom (63.05%). In our analysis, functional outcome after surgery was associated with statistical significance with preoperative McCormick grade, tumor type, EOR and postoperative complications such as hematoma and sphincter involvement.

CONCLUSION: The management of these lesions depends on many factors. It is worthy of mention that clinical presentation, EOR, histopathology and postoperative complications have shown significant prognostic value for the final outcome. Early treatment with the intention of achieving GTR when possible, using carefully tailored approaches, should be considered before the onset of significant symptoms.

PMID:37661156 | DOI:10.1016/j.neucie.2022.11.025

Mayo Clin Proc. 2023 Sep;98(9):1347-1352. doi: 10.1016/j.mayocp.2023.05.001.

ABSTRACT

Patients with advanced emphysema frequently experience severe dyspnea that is inadequately treated with medical therapy alone. Over the past 4 years, we have seen increased usage of bronchoscopic lung volume reduction (BLVR) with endobronchial valves. Success of the procedure is dependent on patient selection because it is not necessarily appropriate for all patients with severe emphysema. (Table 1) The purpose of this review is to highlight the selection process at a single institution. We also discuss the influence of this process on outcomes. Between March 1, 2019, and October 12, 2021, 2402 patients were referred to a dedicated chronic obstructive pulmonary disease clinic at Mayo Clinic – Rochester, whereas 161 patients were subsequently referred for multidisciplinary BLVR review. Of those patients, 53 (32.9%) were selected to receive valves and 35 (21.7%) ultimately underwent the procedure. The main reasons for exclusion included an incompatible quantitative computed tomography analysis (n=37, 34.3%), presence of pulmonary nodule or active malignancy (n=14, 13.0%), or need for completion of pulmonary rehabilitation (n=9, 8.3%). Full or partial (>70%) target lobe collapse was observed in 58.6% of patients who received valves. Those with collapse experienced statistically significant improvements in spirometric measures. Twelve patients experienced a pneumothorax (34.3%), with 10 patients requiring thoracostomy tube placement and prolonged hospitalization (median, 11 days; range, 4-39 days). Nineteen patients required a secondary procedure within the first year. The study highlights how a multidisciplinary approach to the BLVR selection process enables individualization of a complex procedure and enhances the exclusion of inappropriate candidates.

PMID:37661143 | DOI:10.1016/j.mayocp.2023.05.001

Mayo Clin Proc. 2023 Sep;98(9):1297-1309. doi: 10.1016/j.mayocp.2023.05.029.

ABSTRACT

OBJECTIVE: To identify specific causes of death and determine the prevalence of noncardiovascular (non-CV) deaths in an exercise test referral population while testing whether exercise test parameters predict non-CV as well as CV deaths.

PATIENTS AND METHODS: Non-imaging exercise tests on patients 30 to 79 years of age from September 1993 to December 2010 were reviewed. Patients with baseline CV diseases and non-Minnesota residents were excluded. Mortality through January 2016 was obtained through Mayo Clinic Records and the Minnesota Death Index. Exercise test abnormalities included low functional aerobic capacity (ie, less than 80%), heart rate recovery (ie, less than 13 beats/min), low chronotropic index (ie, less than 0.8), and abnormal exercise electrocardiogram (ECG) of greater than or equal to 1.0 mm ST depression or elevation. We also combined these four abnormalities into a composite exercise test score (EX_SCORE). Statistical analyses consisted of Cox regression adjusted for age, sex, diabetes, hypertension, obesity, current and past smoking, and heart rate-lowering drug.

RESULTS: The study identified 13,382 patients (females: n=4736, 35.4%, 50.5±10.5 years of age). During 12.7±5.0 years of follow-up, there were 849 deaths (6.3%); of these 162 (19.1%) were from CV; 687 (80.9%) were non-CV. Hazard ratios for non-CV death were significant for low functional aerobic capacity (HR, 1.42; 95% CI, 1.19 to 1.69; P<.0001), abnormal heart rate recovery (HR, 1.36; 95% CI, 1.15 to 1.61; P<.0033), and low chronotropic index (HR, 1.49; 95% CI, 1.26 to 1.77; P<.0001), whereas abnormal exercise ECG was not significant. All exercise test abnormalities including EX_SCORE were more strongly associated with CV death versus non-CV death except abnormal exercise ECG.

CONCLUSION: Non-CV deaths predominated in this primary prevention cohort. Exercise test abnormalities not only predicted CV death but also non-CV death.

PMID:37661140 | DOI:10.1016/j.mayocp.2023.05.029

Reumatol Clin (Engl Ed). 2023 Aug-Sep;19(7):363-373. doi: 10.1016/j.reumae.2022.10.003.

ABSTRACT

BACKGROUND AND AIMS: Systemic inflammatory diseases could act as an unfavorable condition in which epicardial adipose tissue (EAT) becomes harmful to cardiovascular health. The objectives were: (a) to quantitatively compare the presence of EAT between patients with systemic inflammatory diseases and controls; (b) to analyze the association between EAT and subclinical atheromatosis in individuals with systemic inflammatory diseases.

METHODS: Studies that have quantified EAT in a population with systemic inflammatory diseases compared to a control group, or that describe the association between EAT and the presence of subclinical atheromatosis in patients with systemic inflammatory diseases were included. A quantitative analysis was performed for the first objective. This systematic review was performed according to PRISMA guidelines.

RESULTS: Twenty-one studies including 1448 patients with systemic inflammatory diseases, were considered eligible for this study. Patients with systemic inflammatory disease have a higher volume (MD: 10.4cm³ [1.8-19.1]; p<0.01), higher thickness (MD: 1.0mm [0.8-1.2]; p<0.01), and a statistically non-significant higher area (MD: 3.1cm² [1.0-5.2]; p=0.46) of EAT compared to the control group. Most studies reported a significant association between EAT and subclinical atheromatosis in patients with different systemic inflammatory diseases.

CONCLUSION: This study demonstrated that EAT is increased in patients with systemic inflammatory diseases compared with healthy controls, and that EAT measurement is closely correlated with subclinical atherosclerosis in these patients. The causality of this association should be tested in prospective studies.

PMID:37661114 | DOI:10.1016/j.reumae.2022.10.003

Reumatol Clin (Engl Ed). 2023 Aug-Sep;19(7):358-362. doi: 10.1016/j.reumae.2022.12.006.

ABSTRACT

BACKGROUND: Systemic lupus erythematosus (SLE) is an autoimmune disease in which the immune system abnormally reacts against cells and tissues leading to inflammation. Epigenetic alterations, including DNA methylation and histone modification, have critical effects on autoimmune disease and SLE pathogenesis via dysregulation of critical genes.

AIMS: The purpose of this study was to evaluate the epigenetic-related gene expression of DNA methyltransferase (DNMT) and histone deacetylase 1 (HDAC1) in Iranian patients with SLE.

METHODS: This matched case-control study included 16 people with SLE and 16 healthy people who were referred to the Rafsanjani rheumatology clinic, in southeast Iran. The expression of DNMT and HDAC1 genes was measured through a real-time PCR assay of blood samples.

RESULTS: DNMT gene expression did not differ significantly between SLE and healthy groups (P=0.21). In contrast, HDAC1 gene expression was enhanced in the SLE group, but this enhancement failed to reach statistical significance (P=0.94).

CONCLUSION: The results of this study suggest that overexpression of HDAC1 could serve as a diagnostic for SLE disease. Additional studies with larger sample sizes are required to confirm our findings. Evaluation of other genes related to SLE disease is essential and may help to make an accurate diagnosis of the disease.

PMID:37661113 | DOI:10.1016/j.reumae.2022.12.006

J Immunother Cancer. 2023 Sep;11(9):e007552. doi: 10.1136/jitc-2023-007552.

ABSTRACT

BACKGROUND: ONCOS-102, an oncolytic adenovirus expressing granulocyte-macrophage colony-stimulating factor, can alter the tumor microenvironment to an immunostimulatory state. Combining ONCOS-102 with standard-of-care chemotherapy for malignant pleural mesothelioma (MPM) may improve treatment outcomes.

METHODS: In this open-label, randomized study, patients with unresectable MPM received intratumoral ONCOS-102 (3×10¹¹ virus particles on days 1, 4, 8, 36, 78, and 120) and pemetrexed plus cisplatin/carboplatin (from day 22), or pemetrexed plus cisplatin/carboplatin alone. The primary endpoint was safety. Overall survival (OS), progression-free survival, objective response rate, and tumor immunologic activation (baseline and day 36 biopsies) were also assessed.

RESULTS: In total, 31 patients (safety lead-in: n=6, randomized: n=25) were enrolled. Anemia (15.0% and 27.3%) and neutropenia (40.0% and 45.5%) were the most frequent grade ≥3 adverse events (AEs) in the ONCOS-102 (n=20) and chemotherapy-alone (n=11) cohorts. No patients discontinued ONCOS-102 due to AEs. No statistically significant difference in efficacy endpoints was observed. There was a numerical improvement in OS (30-month OS rate 34.1% vs 0; median OS 20.3 vs 13.5 months) with ONCOS-102 versus chemotherapy alone in chemotherapy-naïve patients (n=17). By day 36, ONCOS-102 was associated with increased T-cell infiltration and immune-related gene expression that was not observed in the control cohort. Substantial immune activation in the tumor microenvironment was associated with survival at month 18 in the ONCOS-102 cohort.

CONCLUSIONS: ONCOS-102 plus pemetrexed and cisplatin/carboplatin was well tolerated by patients with MPM. In injected tumors, ONCOS-102 promoted a proinflammatory environment, including T-cell infiltration, which showed association with survival at month 18.

PMID:37661097 | DOI:10.1136/jitc-2023-007552