19 research outputs found

    Genomics of Salinity Tolerance in Plants

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    Plants are frequently exposed to wide range of harsh environmental factors, such as drought, salinity, cold, heat, and insect attack. Being sessile in nature, plants have developed different strategies to adapt and grow under rapidly changing environments. These strategies involve rearrangements at the molecular level starting from transcription, regulation of mRNA processing, translation, and protein modification or its turnover. Plants show stress-specific regulation of transcription that affects their transcriptome under stress conditions. The transcriptionally regulated genes have different roles under stress response. Generally, seedling and reproductive stages are more susceptible to stress. Thus, stress response studies during these growth stages reveal novel differentially regulated genes or proteins with important functions in plant stress adaptation. Exploiting the functional genomics and bioinformatics studies paved the way in understanding the relationship between genotype and phenotype of an organism suffering from environmental stress. Future research programs can be focused on the development of transgenic plants with enhanced stress tolerance in field conditions based upon the outcome of genomic approaches and knowing the mystery of nucleotides sequences hidden in cells

    Exposure to secondary traumatic stress and its related factors among emergency nurses in Saudi Arabia: a mixed method study

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    Background: Emergency department (ED) nurses are exposed to the risk of secondary traumatic stress (STS), which poses a threat not only to nurses’ health and psychological well-being but also adversely affects the execution of their professional duties. The quality and outcome of their nursing services are negatively affected by STS. Purpose: The purpose of this study is to comprehensively investigate the prevalence and intensity of Secondary Traumatic Stress (STS) among Emergency Department (ED) nurses. It aims to identify and analyze the socio-demographic, occupational, and psychological factors that influence the severity and variation of STS experienced by these nurses. Methods: The study utilized a sequential explanatory mixed methods approach, including two phases. Phase 1 employed a cross-sectional study design, utilizing a convenience sample of 181 nurses to explore the levels of STS and the factors associated with it. Following this, Phase 2 was structured as a qualitative descriptive study, which involved conducting semi-structured interviews with a purposefully selected group of ten ED nurses. Data collection took place at three major hospitals in Saudi Arabia during the period from January to June 2022. Results: A total of 181 participants were included in the study. The mean STSS score reported by the nurses was 51 (SD = 13.23) out of the maximum possible score of 85, indicating severe STS among ED nurses. Factors associated with an increase in the levels of STS among ED nurses included being female, older in age, married, possessing higher education and experience, having a positive relationship with colleagues, receiving organisational support, and dealing with a higher number of trauma cases. Several themes emerged from the qualitative interviews including: ED Characteristics: Dual Impact on STS, Emotional Resonance and Vulnerability, Personal Life Stressors, The Ability to Cope, and Social Support. Conclusion and implications for practice: Future strategies and interventions targeting STS should be prioritized to effectively manage its impact on ED nurses. It is crucial to develop targeted interventions that address the specific factors contributing to STS, as identified in this study. Additionally, these findings aim to enhance awareness among nursing administrators, managers, and supervisors about the critical factors associated with STS. This awareness is essential for accurately assessing and developing interventions that mitigate STS among nursing staff

    Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

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    Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

    Internet Use by Social Scientists at the Bahauddin Zakariya University, Multan, Pakistan: A Survey

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    Bahauddin Zakariya University Multan South Punjab, Pakistan Bahauddin Zakariya University Multan was established in 1975 by an act of the Punjab Legislative Assembly. To pay tribute to the Great Saint Hazrat Bahauddin Zakariya, the name was changed in 1979. The University offers a wide range of programmes: M.A., M.Sc. MBA, M.Com., MCS, M.Phil and Ph.D. It is divided into seven faculties: Faculty of Arts and social Sciences, Faculty of Commerce, Law and Business Administration, Faculty of Engineering, Faculty of Islamia Studies and Languages, Faculty of Pharmacy, Faculty of Veterinary Science (Prospectus, 2009 p.14). Bahauddin Zakariya University Library, Multan The library collection support not only every course in the curriculum but also include selected stock of general reference books, periodicals, publications, newspapers etc. Most of the departments have their own departmental libraries situated in their own buildings. The total number of books in the Central and Departmental libraries is 1,66,583. The BZU Library offers online access to latest material through internet and Higher Education Commission Digital Library Pakistan as well. The Internet facilities are provided in the main library, departmental libraries and computer laboratory. The administration of the Library is vested in the Library Committee, which is responsible for efficient management of the Library. Important research questions: The present study was conducted to find out the answers of the following questions: How social scientist of Bahauddin Zakariya University, Multan consider the Internet useful and effective for exploring information for teaching, research, recreational and other purposes? What are their purposes of seeking information on internet? What search engines are used by them? What places do they prefer for internet usage and time spent per week? What problems do they face in seeking information on internet

    A simple neuro-Heuristic computational intelligence algorithm for thin film flow equation arising in physical models

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    16th IEEE International Conference on Machine Learning and Applications (ICMLA) -- DEC 18-21, 2017 -- Cancun, MEXICOWOS: 000425853000085In this study, computational method are used for finding the approximation in the solution of thin film flow problem using stochastic solver like genetic algorithm (GA) and pattern search (PS). the mathematical model is formulated by defining a fitness function and the process is working in artificial neural networks (ANNs). Proposed numerical results are optimized several times for various values of stoke numbers and material parameters. Different parameters are chosen and several independent number of runs are carried out to find the reliability and accuracy of results. A statistical analysis is presented for the reliability of designed scheme.IEE

    Exploring the Elements of Magic Realism in American Literature with Reference to the Works of Gabriel García Márquez In, Particularly “One Hundred Years of Solitude.”

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    This research paper examines how Colombian author Gabriel Garcia Márquez employs magic realism in his writings. This essay will look at the literary representations of reality and dreams in the twenty-first century. He used this strategy to create a plausible scenario that is influenced by Columbian culture in the book One Hundred Years of Solitude. The author wants to raise issues about the absurdity of life and encourage self-actualization. The mythical settlement of Macondo is situated in a realistic environment with some fantastic aspects. This study demonstrates how magic realism psychoanalysis may address some of the most challenging and important subjects in literature

    Improvement for Diagnosis of Gastric Cancer from Endoscopic Images using Machine Learning

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    Detection of cancer disease in any part of a human body is of utmost importance as it can be cured completely.  In this research work, a prognosis of early gastric cancer detection by applying modern machine learning algorithms augmented with fast and efficient classification of white light images. In earlier studies for early gastric cancer detection schemes, nominal endoscopic images demand more computational effort, which slows down process and takes more time. Moreover, in the contemporary methodologies, only basic parameters were used to detect the symptoms of gastric cancer such as accuracy. Whilst in the proposed methodology, protein structure of the cancerous part is also examined with the help of Alpha fold software. A dataset consist of white-light-images is developed from the endoscopic images of the suspected patients. By utilitarian of this dataset in the proposed scheme, results are drawn which shows greater accuracy at a lower cost as compared to contemporary techniques

    Eye-related emergency department visits and the opioid epidemic: A 10-year analysis

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    Purpose: To describe the epidemiology of Emergency Department (ED) visits related to opioid abuse with primary ophthalmic diagnoses in the United States (US).Methods: This retrospective cross-sectional study used National ED Sample (NEDS) (2006-2015), a representative sample of all US EDs, to analyze and compare the epidemiology of primary ophthalmic diagnoses in opioid abusers and a control group of non-opioid users. National incidence and descriptive statistics were calculated for demographics and prevalent diagnoses. Multivariable logistic regression was used to compare outcomes between primary ophthalmic diagnoses in opioid and non-opioid abusers.Results: An estimated 10,617 visits had a primary ophthalmic diagnosis and an accompanying opioid abuse diagnosis, and the incidence increased from 0.2 in 2006 to 0.6 per 100,000 US population in 2015. Opioid abuse group had more adults (6,747:63.5%) and middle-aged (3,361:31.7%) patients, while in controls adults (7,905,003:40.4%) and children (4,068,534:20.8%) were affected more. Leading etiologies were similar: traumatic and infectious etiologies were most common; however, opioid abuse patients had more severe ophthalmic diagnoses such as orbital fractures (8.4%), orbital cellulitis (7.4%), globe injury (3.4%) and endophthalmitis (3.2%) compared to controls. Patients in the opioid abuse group were also more likely to be admitted (adjusted Odds Ratio [aOR], 28.38 [95% CI, 24.50-32.87]).Conclusions: In the era of opioid crisis, an increase in ED visits with ophthalmic complaints is seen, with increasing direct and indirect costs on the healthcare system. More research is needed to establish causality and devise strategies to lower this burden
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