Exploring The Drivers of Technology Acceptance: A study on Pakistani University Student

The purpose of this study is to validate the technology acceptance model (TAM) in an educational context to explore the drivers of technology on students of Pakistani university. Technologies have extended the teaching quality and open the new doors for the student to make their career highly professional. The data were collected from 508 students through online questionnaire in Pakistan. For analyzing the research model PLS-SEM partial least squares method to structural equation modeling was chosen to analyze the effect of Trialability, Attitude towards technology, Behavior intention, perceived ease of use, perceived enjoyment, facilitating condition, Perceived usefulness, Technology complexity and demographic factors. The gap which we have find is about underprivileged countries that are poor in technology and have not get advancement and success in there so many countries yet. Limitation for this study are we have collected the data from university students. The research is based on descriptive research. Researchers choose a no probabilistic convenience sampling technique to collect data as it is fast, inexpensive and easy. The finding of this study is that all the independent variable has positive and significant relationship with dependent variable. We recommend that future researcher can add more variable to the research and use most updated software version

Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

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

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

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Recent Developments in Optical and Thermal Performance of Direct Absorption Solar Collectors

Solar energy is the most promising green energy resource, as there is an enormous supply of solar power. It is considered a good potential solution for energy crises in both domestic and industrial sectors. Nowadays, many types of solar systems are used for harvesting solar energy. Most of the research is focused on direct absorption solar collectors (DASCs) due to their ability to capture more solar energy. The effectiveness of DASCs is dependent on various factors, such as working fluid properties, geometry, and operating parameters. This review summarizes the impact of different design and operating parameters on the performance of DASCs. Many effective parameters are considered and their impact on optical and thermal properties is summarized. The influence of working fluid parameters, such as base fluid type, nanoparticle type, nanoparticle size, nanoparticle shape, and nanoparticle concentration on heat transfer performance, was discussed and their optimum range was suggested. The effects of collector dimensions and many novel design configurations were discussed. The effect of the most important operating parameters, such as temperature, flow rate, flow regime, and irradiance on collector performance, was briefly summarized

Exploring The Drivers of Technology Acceptance: A study on Pakistani University Student

The purpose of this study is to validate the technology acceptance model (TAM) in an educational context to explore the drivers of technology on students of Pakistani university. Technologies have extended the teaching quality and open the new doors for the student to make their career highly professional. The data were collected from 508 students through online questionnaire in Pakistan. For analyzing the research model PLS-SEM partial least squares method to structural equation modeling was chosen to analyze the effect of Trialability, Attitude towards technology, Behavior intention, perceived ease of use, perceived enjoyment, facilitating condition, Perceived usefulness, Technology complexity and demographic factors. The gap which we have find is about underprivileged countries that are poor in technology and have not get advancement and success in there so many countries yet. Limitation for this study are we have collected the data from university students. The research is based on descriptive research. Researchers choose a no probabilistic convenience sampling technique to collect data as it is fast, inexpensive and easy. The finding of this study is that all the independent variable has positive and significant relationship with dependent variable. We recommend that future researcher can add more variable to the research and use most updated software version

Green Synthesis of Metallic Nano-Particles and Their Potential in Bio-Medical Applications

Advances in multidisciplinary research have paved the way for the development of nano-technological applications for utilization across a diversity of fields, including infectious diseases, agriculture, and the environment. Nanoparticles can be used for targeting and can play a vital role in the health sector. Using chemical methods, nanoparticles have been produced for a very long time, but due to the release of the harmful chemicals during their production and higher cost associated with the methodology, alternative methods such as green syntheses have been introduced. The green synthesis method is preferred over chemical methods attributed to the absence of fumes in green synthesis as compared to the chemical method. Nowadays, the antibiotic resistant microbes and the development of superbugs are a major problem in health sector, so as there are certain studies about the antimicrobial activities of metallic NPs, which can provide an alternative approach against these resistant microbes. The understanding about these NPs in bio-medical applications is not well studied. This systematic review will help the scientific community to understand the actual potential of these NPs as an effective antimicrobial and anticancer agent

Real time surveillance for low resolution and limited data scenarios: An image set classification approach

This paper proposes a novel image set classification technique based on the concept of linear regression. Unlike most other approaches, the proposed technique does not require any training. We represent the gallery image sets as subspaces in a high dimensional space. Class specific gallery subspaces are used to estimate regression models for each image in the test image set. Images of the test set are then projected onto the gallery subspaces. The residuals, calculated using the Euclidean distance between the original and the projected test images, are used as the distance metric. Three different strategies are devised to decide on the final class of the test image set. We extensively evaluated the proposed technique using both low resolution and noisy images and with less gallery data to assess the suitability of our technique for the tasks of surveillance and video-based face recognition. The experiments show that the proposed technique achieves superior classification accuracy and has a faster execution time compared with existing techniques, especially under the challenging conditions of low resolution and a limited amount of gallery and test data

Synthesis, Characterization and Bioactivity Profiling of Gold Nanoparticles of Trachyspermum ammi Crude Extract

Trachyspermum ammi seeds were selected for photochemical study. The crude T. ammi methanol and aqueous extracts showed the presence of alkaloids, saponins, steroids, terpenoids, coumarins, betacyanins, flavonoids and soluble starch. The synthesis of gold nanoparticles (AuNPs) using T. ammi extract was characterized using UV-visible, and FT-IR spectroscopy. The appearance of sharp peak at 520 nm in the UV visible spectra, and the appearance of broad band nanoparticles spectra at 563.21 cm-1, 516.92 cm-1 and 462.92 cm-1 as well as the disappearance of the carboxyl OH bond and carbon-carbon triple bond supported the formation of AuNPs. The crude T. ammi methanol and AuNPs were investigated for antioxidant potential using DPPH· free radical assay, which shows that crude extract has significant antioxidant effect. The synthesized AuNPs was also evaluated for antibacterial activities against staphylococcus aureus, Klebsiella pneumonia and Bacillus subtilis. The crude extract showed activity against Bacillus subtilis, while AuNPs showed activity against staphylococcus aureus. The in vivo sedative effect and analgesic effect were enhanced in AuNPs treated animals in 5 times less dose (i.e., 5, and 10 mg/kg) than that of crude extract. It was concluded that T. ammi extract includes capping and reducing agents, which make it capable to be developed as stable AuNPs. The biological action of AuNPs is either enhanced (sedative and analgesic) or changed (antibacterial activity), when compared with that of plant extract