VARIABILITY OF EMOTIONAL QUOTIENT AMONG MALE AND FEMALE MEDICAL STUDENTS OF PUNJAB: A COMPARATIVE CROSS-SECTIONAL STUDY

Introduction: Emotional Quotient (E.Q) is the capacity of the individuals to concede their own emotions, discriminate between various feelings and label them, make use of emotional information to guide thinking and attune the emotions to adopt environment. All researches proved the difference of EQ between males and females. Females are considered cooperative and expressive. Meanwhile, males are considered independent and instrumental. Material & Methods: A comparative cross-sectional study was directed on 566 students of different medical colleges of Punjab, Pakistan. The data was collected through a validated questionnaire containing sections of consent, demographic data and the questions for E.Q based on emotional intelligence scale (EIS). This questionnaire was shared in the google form among medical students out of which 566 completed their form and came under the inclusion criteria of our study. The data analysis was done by using SPSS v22.0. Results were recorded through independent T test. Results: On result analysis, we found that males scored higher in most variables of EQ than females. Males had more self-awareness, empathy, emotional stability, self-motivation and can manage relation well with p-value of 0.011, 0.004, 0.01, 0.365 and 0.205 respectively. Females were on higher side concerning integrity and value orientation with p-value of 0.483 and 0.395 respectively which was not statistically significant. Females also prevailed in altruistic behaviour and fulfilling commitment with p-value of 0.008 and 0.036 respectively. Conclusion: Males were having higher emotional quotient than females

Data Augmentation-based Novel Deep Learning Method for Deepfaked Images Detection

Recent advances in artificial intelligence have led to deepfake images, enabling users to replace a real face with a genuine one. deepfake images have recently been used to malign public figures, politicians, and even average citizens. deepfake but realistic images have been used to stir political dissatisfaction, blackmail, propagate false news, and even carry out bogus terrorist attacks. Thus, identifying real images from fakes has got more challenging. To avoid these issues, this study employs transfer learning and data augmentation technique to classify deepfake images. For experimentation, 190,335 RGB-resolution deepfake and real images and image augmentation methods are used to prepare the dataset. The experiments use the deep learning models: convolutional neural network (CNN), Inception V3, visual geometry group (VGG19) and VGG16 with a transfer learning approach. Essential evaluation metrics (accuracy, precision, recall, F1-score, confusion matrix and AUC-ROC curve score) are used to test the efficacy of the proposed approach. Results revealed that the proposed approach achieves an accuracy, recall, F1-score and AUC-ROC score of 90% and 91% precision, with our fine-tuned VGG16 model outperforming other DL models in recognizing real and deepfakes

Tomato post-harvest fruit ripening in Pakistan : effect of methylcyclopropene (1-MCP) in inhibiting ripening gene expression

Short shelf life of tomato fruits, with the unavailability of modernized handling/storage and transport practices causes ~30-40 % of yield loss which leads to great financial burden on the import of Pakistani tomatoes. There is an urgent need to adapt an easy and cost effective applicable technology for increasing the shelf life of fully ripened tomato fruits by inhibiting ethylene perception that leads to ripening and decay. This study aims to evaluate the effectiveness of ethylene perception inhibitor 1-methylcyclopropene (1-MCP) on ripening of tomatoes. Physiological and molecular parameters were recorded to analyse the inhibitory effect of 1-MCP. Green tomatoes were harvested and treated with 1-MCP for 24 h and 8 days. Results of the physiological data based on colour, weight, and firmness of the fruits showed a significant delay in the onset of ripening after 1-MCP treatment. 1-MCP is known to block ethylene receptors, therefore, we used different ethylene and ripening related genes as markers to prove that 1-MCP potentially delayed tomato fruit ripening by inhibiting the ethylene pathway that in turn downregulated the ripening signalling pathway genes. Therefore, this study provides evidence that 1-MCP can effectively be used as an alternative to reduce the post-harvest tomato yield losses in Pakistan with slight optimization on the method to suit the different varieties of local tomatoes

The potential of IFN-λ, IL-32γ, IL-6, and IL-22 as safeguards against human viruses: a systematic review and a meta-analysis

Many studies have investigated the antiviral activity of cytokines, including interleukin-6 (IL-6), interleukin-22 (IL-22), interleukin-32 gamma (IL-32γ), and interferon-lambda (IFN-λ) in diverse populations. This study aims to evaluate the role of these cytokines in inhibition of various human and animal viruses when administered exogenously. A comprehensive meta-analysis and systematic review were conducted on all the relevant studies from three databases. Standard mean differences (SMDs) of overall viral inhibition were used to generate the difference in the antiviral efficacy of these cytokines between control and experimental groups. A total of 4,618 abstracts for IL-6, 3,517 abstracts for IL-22, 2,160 abstracts for IL-32γ, and 1,026 abstracts for IFN-λ were identified, and 7, 4, 8, and 35 studies were included, respectively, for each cytokine. IFN-λ (SMD = 0.9540; 95% CI: 0.69–0.22) and IL-32γ (SMD = 0.459; 95% CI: 0.02–0.90) showed the highest influence followed by IL-6 (SMD = 0.456; CI: −0.04–0.95) and IL-22 (SMD = 0.244; 95% CI: −0.33–0.81). None of the cytokines represented heterogeneity (tau² > 0), but only IFN-λ indicated the funnel plot asymmetry (p = 0.0097). Results also indicated that IFN-λ and IL-32γ are more potent antivirals than IL-6 and IL-22. The collective findings of this study emphasize that exogenously administered pro-inflammatory cytokines, specifically IFN-λ and IL-32, exhibit a significant antiviral activity, thereby underscoring them as potent antiviral agents. Nonetheless, additional research is required to ascertain their clinical utility and potential for integration into combinatorial therapeutic regimens against viral infections

Structural performance of waste plastic bottles modified asphalt: A review

The usage of plastic materials in our daily life is increasing day by day. These plastic materials are somehow beneficial for us, but the disposal of waste plastic materials has become a serious problem. The use of plastic not only enhances road construction but also helps extend the life of roads and improves the environment. Waste plastics use in roads increases durability and also reduces water retention. This research reviews the use of waste plastics in asphalt pavement. In this study, the properties such as Marshall stability, flow, resilient modulus, fatigue, etc., are studied to boost the usage of waste plastic in asphalt pavements. It is concluded that with the use of waste plastic in asphalt pavement, the quality of roads will be enhanced, and it will also be very beneficial for our environment. The other major advantage is that it will be very cost-effective for underdeveloped countries.Web of Science121art. no. 1

Pooled analysis of WHO Surgical Safety Checklist use and mortality after emergency laparotomy

Background The World Health Organization (WHO) Surgical Safety Checklist has fostered safe practice for 10 years, yet its place in emergency surgery has not been assessed on a global scale. The aim of this study was to evaluate reported checklist use in emergency settings and examine the relationship with perioperative mortality in patients who had emergency laparotomy. Methods In two multinational cohort studies, adults undergoing emergency laparotomy were compared with those having elective gastrointestinal surgery. Relationships between reported checklist use and mortality were determined using multivariable logistic regression and bootstrapped simulation. Results Of 12 296 patients included from 76 countries, 4843 underwent emergency laparotomy. After adjusting for patient and disease factors, checklist use before emergency laparotomy was more common in countries with a high Human Development Index (HDI) (2455 of 2741, 89.6 per cent) compared with that in countries with a middle (753 of 1242, 60.6 per cent; odds ratio (OR) 0.17, 95 per cent c.i. 0.14 to 0.21, P <0001) or low (363 of 860, 422 per cent; OR 008, 007 to 010, P <0.001) HDI. Checklist use was less common in elective surgery than for emergency laparotomy in high-HDI countries (risk difference -94 (95 per cent c.i. -11.9 to -6.9) per cent; P <0001), but the relationship was reversed in low-HDI countries (+121 (+7.0 to +173) per cent; P <0001). In multivariable models, checklist use was associated with a lower 30-day perioperative mortality (OR 0.60, 0.50 to 073; P <0.001). The greatest absolute benefit was seen for emergency surgery in low- and middle-HDI countries. Conclusion Checklist use in emergency laparotomy was associated with a significantly lower perioperative mortality rate. Checklist use in low-HDI countries was half that in high-HDI countries.Peer reviewe

Global variation in anastomosis and end colostomy formation following left-sided colorectal resection

Background End colostomy rates following colorectal resection vary across institutions in high-income settings, being influenced by patient, disease, surgeon and system factors. This study aimed to assess global variation in end colostomy rates after left-sided colorectal resection. Methods This study comprised an analysis of GlobalSurg-1 and -2 international, prospective, observational cohort studies (2014, 2016), including consecutive adult patients undergoing elective or emergency left-sided colorectal resection within discrete 2-week windows. Countries were grouped into high-, middle- and low-income tertiles according to the United Nations Human Development Index (HDI). Factors associated with colostomy formation versus primary anastomosis were explored using a multilevel, multivariable logistic regression model. Results In total, 1635 patients from 242 hospitals in 57 countries undergoing left-sided colorectal resection were included: 113 (6·9 per cent) from low-HDI, 254 (15·5 per cent) from middle-HDI and 1268 (77·6 per cent) from high-HDI countries. There was a higher proportion of patients with perforated disease (57·5, 40·9 and 35·4 per cent; P < 0·001) and subsequent use of end colostomy (52·2, 24·8 and 18·9 per cent; P < 0·001) in low- compared with middle- and high-HDI settings. The association with colostomy use in low-HDI settings persisted (odds ratio (OR) 3·20, 95 per cent c.i. 1·35 to 7·57; P = 0·008) after risk adjustment for malignant disease (OR 2·34, 1·65 to 3·32; P < 0·001), emergency surgery (OR 4·08, 2·73 to 6·10; P < 0·001), time to operation at least 48 h (OR 1·99, 1·28 to 3·09; P = 0·002) and disease perforation (OR 4·00, 2·81 to 5·69; P < 0·001). Conclusion Global differences existed in the proportion of patients receiving end stomas after left-sided colorectal resection based on income, which went beyond case mix alone

Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches

Preplaced aggregate concrete (PAC) also known as two-stage concrete (TSC) is widely used in construction engineering for various applications. To produce PAC, a mixture of Portland cement, sand, and admixtures is injected into a mold subsequent to the deposition of coarse aggregate. This process complicates the prediction of compressive strength (CS), demanding thorough investigation. Consequently, the emphasis of this study is on enhancing the comprehension of PAC compressive strength using machine learning models. Thirteen models are evaluated with 261 data points and eleven input variables. The result depicts that xgboost demonstrates exceptional accuracy with a correlation coefficient of 0.9791 and a normalized coefficient of determination (R2) of 0.9583. Moreover, Gradient boosting (GB) and Cat boost (CB) also perform well due to its robust performance. In addition, Adaboost, Voting regressor, and Random forest yield precise predictions with low mean absolute error (MAE) and root mean square error (RMSE) values. The sensitivity analysis (SA) reveals the significant impact of key input parameters on overall model sensitivity. Notably, gravel takes the lead with a substantial 44.7% contribution, followed by sand at 19.5%, cement at 15.6%, and Fly ash and GGBS at 5.9% and 5.1%, respectively. The best fit model i.e., XG-Boost model, was employed for SHAP analysis to assess the relative importance of contributing attributes and optimize input variables. The SHAP analysis unveiled the water-to-binder (W/B) ratio, superplasticizer, and gravel as the most significant factors influencing the CS of PAC. Furthermore, graphical user interface (GUI) have been developed for practical applications in predicting concrete strength. This simplifies the process and offers a valuable tool for leveraging the model&amp;apos;s potential in the field of civil engineering. This comprehensive evaluation provides valuable insights to researchers and practitioners, empowering them to make informed choices in predicting PAC compressive strength in construction projects. By enhancing the reliability and applicability of predictive models, this study contributes to the field of preplaced aggregate concrete strength prediction.Validerad;2024;Nivå 2;2024-04-23 (hanlid);Full text license: CC BY 4.0</p

Prevalence and severity of Depressive illness among youth coming to Psychiatry Out-patient department of District Headquarter Hospital (DHQ), Sargodha

Introduction: Prevalence and severity of depressive illness among the youth are on the rise. Objective: To examine the prevalence and severity of depressive illness among youth coming to the psychiatry outpatient department of District Headquarters Hospital, Sargodha. Material and Methods: This is a descriptive cross-sectional study. The study population includes young people (15-24 years) coming to the Out-patient Department of Psychiatry in District Headquarters Hospital, Sargodha. The duration of the study was from 1st February 2018 to 20th May 2018. 50 patients were selected through the convenience sampling technique. Beck’s depression inventory-II semi-structured questionnaire was used for data collection from people aged 15-24 years coming to psychiatry OPD. The diagnosis was made as per the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V). Informed consent was obtained from all participants. Chi-square applied. P-value of 0.05 taken as cut off value. Results: Depression was present in 64% of the study participants. Among female participants, 77.42% of females while among male participants, 42.11% of males were suffering from depression (P-value=0.012) which shows that there is a significant association between gender and depression. Overall, 50% of the participants were mildly depressed, 34.37% were moderately depressed and only 15.63% were severely depressed (P-value = 0.618). Among depressed, 75% were 20-24 years old and 25% were 15-19 years old. Conclusion: Prevalence of depression is found to be more among women and in the young age group 20-24 years. Therefore, regular psychiatric screening, treatment, and follow-up are recommended in an educational institute for early diagnosis and treatment