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MALDI-MSI method for the detection of large biomolecules in plant leaf tissue

Published on: 6th August, 2021

OCLC Number/Unique Identifier: 9204611613

In this study we describe a method for the detection of biomolecules (in the polypeptide m/z range) directly from the surface of plant leaves by using Mass Spectrometry Imaging. The plant-pathogen interaction between Arabidopsis thaliana and the bacterium Xanthomonas campestris pv. campestris was analyzed by comparing infected and non-infected leaf discs submitted to mass spectrometry. The total surface area of ion distribution was calculated for both samples, revealing 23 ions, out of which 3 showed statistical significance. Although these ions were not identified, the results showed that this approach can be successfully applied for the detection of potential polypeptide biomarkers directly on leaf tissue, which is a major challenge in MALDI-Imaging studies.
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Evolving Paradigms in Strep Throat: From Epidemiology to Advanced Therapeutics - A Comprehensive Overview

Published on: 29th December, 2022

Strep throat, a common affliction known for its hallmark symptom of a severe and sudden sore throat, is caused by the bacterium Streptococcus pyogenes, classified under Group-A Streptococcus (GAS) [1]. This condition not only impacts millions globally but also carries the risk of severe complications if left untreated [2]. Understanding strep throat goes beyond recognizing its symptoms; it entails an appreciation of its transmission dynamics, potential complications, and the evolving landscape of treatment and prevention strategies [3].
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Prevalence and Correlation between HbA1c Control and Duration of Diabetes with Blindness in the Eastern Part of Libya: Double Centers Study

Published on: 9th October, 2024

A prospective cross-sectional study of diabetic patients registered at the Eye department of Tobruk Medical Center in Tobruk-Libya between (01.06.2023 to 29.02.2024). At the same time data was collected in the eye department in Alwahda Derna Teaching Hospital, Data was collected using the same administered questionnaire. Grading of DR was done by slit-lamp examination and Fundoscopy by an ophthalmologist. Descriptive analysis included percentage mean, median, and p - value by using SPSS 25. There were 185 diabetic patients, ages ranging between 30 and 90 years, with a mean of 58, the majority (97.6%) were of Libyan nationality. There were 86 males and 99 females. Patients with a duration of diabetes ranging between 11 and 15 years were at almost a five-fold risk of developing DR compared to those with a duration of < 10 years. Most of advanced complicated diabetic retinopathy cases had diabetes for more than fifteen years, and no advanced disease in the cases with a duration of less than 10 years.
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Predictors of Candidemia infections and its associated risk of mortality among adult and pediatric cancer patients: A retrospective study in Lahore, Punjab, Pakistan

Published on: 18th May, 2018

OCLC Number/Unique Identifier: 7666319312

Objectives: As the cancer patients are at higher risk of premature deaths due to candidemia. So, the present study aims to evaluate the predictors of candidemia along with its outcomes among hospitalized adults and pediatric cancer patients. Methods: A retrospective study was conducted at a tertiary care cancer hospital in Lahore, Pakistan. The data was collected from the medical records of all the patients who were found positive for Candida species between 1st January 2017 and 31st June 2017. Data were analyzed by using Statistical Packages for Social Sciences (IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.) and Microsoft Excel (MS Office 2010). Results: Overall, 135 patients were detected with candidemia. Based on blood culture test results, it was found that out of 100 cultures positive for any microorganism there were 2 cases of candidemia. Multivariate analysis revealed that hematological malignancies (AOR: 2.1), and shock (AOR: 9.1) were significantly associated with high risk of mortalities during the index hospitalization, while risk of mortality among cancer patients suffering from Candida albican infection (AOR: 0.47) and those who were administered with antifungal agent after sensitivity report of the fungal culture (AOR: 0.2) was significantly less. Also, there was no significant association of empiric therapy of antifungal agent with the risk of mortality before a positive culture found (p>0.05). Conclusion: Although, no risk factor was found to be associated significantly with candidemia among cancer patients. But hematological malignancies, non-albican candidemia and shock were predictors of higher risk mortality during index hospitalization.
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Statistical Mathematical Analysis of COVID-19 at World Level

Published on: 5th April, 2024

Worldwide, statistical data of people infected by COVID-19 has been taken until March 29, 2023, which, when correlated, showed a predictive logistic  model. The purpose was to determine the predictive model, which was acceptable, in such a way that the proportionality constant and the correlation and determination coefficients are of great importance to estimating epidemiological and pandemic data; coinciding with what was reported by other authors. Bearing in mind that a mathematical model is a mathematical description through a function or equation of a phenomenon in the real world; whose purpose is to understand infections and make predictions for the future. The stages were: to model the number of people infected as a function of time, formulate, and choose the logistic model, determine the model and obtain mathematical conclusions, and make predictions (estimates) about the number of people infected by COVID-19 worldwide. The logistic model was derived to predict the speed of people infected by COVID-19 and the critical time (tc = 733 days) for which the speed was maximum (1694,7209 infected/day). The Pearson correlation coefficient for the time elapsed (t) and the number of people infected (N) worldwide, based on 32 cases, was r = -0.88; the relationship between time and those infected is real, there is a “very strong correlation” between the time elapsed (t) and the number of people infected (N) and 77.03% of the variance in N is explained by t. 
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The Role of Diet Therapy in Reducing the Cardiovascular Disease Risk in a Patient with a Long-Standing and Recurring History of Obesity

Published on: 11th October, 2024

Insulin resistance, often referred to as impaired insulin sensitivity. This clinical case focusses on a woman with insulin resistance and a long-standing and recurring history of obesity to demonstrate how diet therapy can be applied in addition to standard medication therapy.
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COVID-19 disease with persistently negative RT-PCR test for SARS-CoV-2

Published on: 7th August, 2020

OCLC Number/Unique Identifier: 8653632638

Introduction: The disease outbreak of COVID-19 has had a great clinical and microbiological impact in the last few months. In the preanalytical phase, the collection a sample from of a respiratory tract at the adequate moment and from the correct anatomical site is essential for a rapid and precise molecular diagnosis with a false negative rate of less than 20%. Materials and methods: We conducted a descriptive study of COVID-19 disease with a persistently negative RT-PCR test in patients seen at the National Institute of Respiratory Diseases (INER) in Mexico City in the period of March through May of 2020. 38 patients were registered with negative RT-PCR test obtained through nasopharyngeal and oropharyngeal swabbing. We evaluated the distribution of data with the Shapiro-Wilk test of normality. The non-parametric data are reported with median. The nominal and ordinal variables are presented as percentages. Results: The average age of our cohort was 46 years and 52.63% were male (n = 20). Diabetes Mellitus was documented in 34.21% (n = 13) of the patients, Systemic Hypertension in 21.05% (n = 8), Obesity in 31.57% (n = 12) and Overweight in 42.10% (n = 16). Exposure to tobacco smoke was reported in 47.36% (n = 18) of the patients. The median initial saturation of oxygen was 87% at room air. The severity of the disease on admission was: mild 71.05% (n = 27), moderate 21.05% (n = 8) and severe or critical in 7.89% (n = 3) of the cases respectively. 63.15% (n = 24) sought medical care after 6 or more days with symptoms. Lymphopenia was documented in 78.94% (n = 30). Median LDH at the time of admission was 300, being elevated in 63.15% (n = 24) of the cases. The initial tomographic imaging of the chest revealed predominantly ground glass pattern in 81.57% (n = 31) and predominantly consolidation in 18.42% (n = 7). The registered mortality was 15.78% (n = 6). Conclusion: Patients with COVID-19 and a persistently negative RT-PCR test with fatal outcomes did not differ from the rest of the COVID-19 population since they present with the same risk factors shared by the rest of patients like lymphopenia, comorbidities, elevation of D-Dimer and DHL on admission as well as a tomographic COVID-19 score of severe illness, however we could suggest that the percentage of patients with a mild form of the disease is higher in those with a persistently negative RT-PCR test.
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General practitioners’ knowledge, attitudes and practices on antibiotic prescribing for acute respiratory infections in children in Lubumbashi, Democratic Republic of Congo

Published on: 16th September, 2020

OCLC Number/Unique Identifier: 8701522218

Objective: To assess the knowledge, attitudes and practices declared among general practitioners (GPs) concerning the use of antibiotics for the treatment of ARI in children under 5 years in Lubumbashi. Methods: A cross-sectional survey was conducted to assess the level of knowledge, attitude and practices concerning antibiotic prescribing among 67 GPs working in the pediatric setting in various health structures in Lubumbashi city, in the Democratic Republic of Congo. Data were collected from April 1st to June 30th, 2020. Results: GPs had limited knowledge about antibiotic prescriptions (mean of 46% correct answers to 8 questions). Although they are generally concerned about antibiotic resistance (mean ± SD = 0.50 ± 0.68), and are unwilling to submit to pressure to prescribe antibiotics to meet patient demands and expectations (mean ± SD = –1.78 ± 0.31) and the requirements to prescribe antibiotics for fear of losing patients (mean ± SD = –1.67 ± 0.47), there was a lack of motivation to change prescribing practices (mean ± SD = −0.37 ± 0.94) and strong agreement that they themselves should take responsibility for tackling antibiotic resistance (mean ± SD = 1.24 ± 0.74). Multiple linear regression results showed that higher knowledge scores were associated with less avoidance of responsibility when prescribing antibiotics (β = 0.919; p = 0.000). Conclusion: To curb the over-prescription of antibiotics, it is not enough to improve knowledge in itself. The lack of motivation of physicians to change must be addressed through a systematic approach. These data show the need for interventions that support the rational prescribing of antibiotics.
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Tunable induced transparency and Fano-resonance in double cavity optomechanical system

Published on: 7th April, 2021

OCLC Number/Unique Identifier: 9026724935

We analyze optomechanically induced Transparency and asymmetric Fano-line shape Profile in a two-mode cavity system, coupling at weak and strong coupling regimes. The model system consists of one mechanical mode and two optical modes. The transmission shows nonreciprocal behavior. Both the forward transmission and backward reflection for the system are analyzed for both optic-optic and mechanical-optic cavities by considering various system parameters. The output spectra lead to sharp asymmetric Fano-resonance and tunable transparency. Double line-shape profile is observed in the output Spectrum. Our proposal provides a new platform for application in quantum telecommunications and a photonic device like optical Switches.
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Agriculture High-Quality Development and Nutrition

Published on: 24th October, 2024

Modern Agricultural production wants to efficiently produce plant products and benefits to meet people's needs. However, because of better plant species and varieties, overuse of fertilizer and overdose of pesticide alters the plant resources relationship, resulting in soil degradation, vegetation decline, and crop failure or waste of resources, which influence the quality of fruit and benefit and are unfavorable for the sustainable utilization of nature resources and crops high-quality development. After a couple of years of study, the results showed that Agricultural development went into agricultural high-quality development in 2017, which is to use effective measures or methods to maximize yield and benefits and meet the need of people's need for better Agricultural produce and a better life. The theory foundation of the sustainable utilization of natural resources and Agriculture high-quality production is the resources use limit by plants, vegetation carrying capacity, and critical period of plant resources relationship regulation. The methods of Agriculture high-quality development are to select excellent plant species or varieties based on site conditions and market needs before planting crop young plants and sowing seeds, adopt appropriate initial planting density when planting crop young plants and sowing seeds, and regulate the relationship between plant growth and resources need in the process of crop production in a timely and appropriate amount, especially the chemical fertilizer and pesticide to obtain the maximum yield and benefits and realize the sustainable utilization of natural resources and achieve agricultural high-quality development.
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