TO BE RESPONSIBLE SOCIALLY IS VIABLE FINANCIALLY

This paper aims to evaluate the impact of Corporate Social Responsibility (CSR) on Company’s Financial Performance (CFP) operating or based in Pakistan. Emerging CSR practices in the developed world have raised question about the inclination of the developing world towards CSR. Pakistan being a developing country, its corporate sector is more concerned about profit maximization than CSR. Various studies around the globe have established that CSR has a positive impact on the financial performance of a company. In this study, secondary data has been used from audited annual reports of 26 companies listed in KSE of similar size from different sectors, which are striving towards better CSR. The data ranges from 2008 to 2012 (5 years). The researchers have used Stakeholder theory to measure CSR; stakeholders include Government, Employees, Suppliers, Creditors, Shareholders and Customers. Return on Asset (ROA) was used as a surrogate for Company’s financial performance (CFP). The result of Multiple Regression Model showed a significant impact of CSR on CFP for only a few stakeholders. After adjusting the model according to Pakistan’s scenario, customers, shareholders and creditors were identified as the key stakeholders for CSR to have an impact on CFP. Analyses also bifurcated the results for KSE 100 index companies and Non KSE 100 index companies in order to have an idea as to how firm size disparity affects CSR’s impact on CFP. The outcomes of the research would be helpful for the corporate decision makers, government policy formulators and other related quarters to understand the impact of CSR on CFP with reference to Pakistan

BolT: Fused Window Transformers for fMRI Time Series Analysis

Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for contextual representations across diverse time scales. Here, we present BolT, a blood-oxygen-level-dependent transformer model, for analyzing multi-variate fMRI time series. BolT leverages a cascade of transformer encoders equipped with a novel fused window attention mechanism. Encoding is performed on temporally-overlapped windows within the time series to capture local representations. To integrate information temporally, cross-window attention is computed between base tokens in each window and fringe tokens from neighboring windows. To gradually transition from local to global representations, the extent of window overlap and thereby number of fringe tokens are progressively increased across the cascade. Finally, a novel cross-window regularization is employed to align high-level classification features across the time series. Comprehensive experiments on large-scale public datasets demonstrate the superior performance of BolT against state-of-the-art methods. Furthermore, explanatory analyses to identify landmark time points and regions that contribute most significantly to model decisions corroborate prominent neuroscientific findings in the literature

ANALGESIC AND ANTIEMETIC ACTIVITY OF CLEOME VISCOSA L

International audienceThe seeds of Cleome viscosa are used in traditional systems of medicine for the treatment of many diseases in Asia. This study evaluated fixed oil from the seeds of Cleome viscosa for analgesic and antiemetic activity by using the acetic acid induced writhing test in mice (intraperitoneally) and chick emetic model (oral treatment) respectively. The results showed significant analgesic and antiemetic activities of Cleome viscosa fixed oil

Insecticidal Activity of Castanospermum australe against stored Grain Pest Callosobruchus analis

ABSTRACT The butanol fraction of the leaves of Castanospermum australe Cunn. & Fraser., was tested on adult Callosobruchus analis (pulse beetle) for its insecticidal activity by impregnation method at concentration of 3, 9, 48, 240 and 354 µg / cm 2 . The result showed that the extract is toxic to Callosobruchus analis and the LD 50 was found to be 38 g/cm 2

Regeneration of Plantlets from various Explants of Tetraploid watermelon

Micropropagation of tetraploid watermelon is important to cope with high cost of seed. Seeds of tetraploid watermelon were grown in vitro to raise seedlings. Hypocotyl and cotyledonary explants and media supplemented with plant growth regulators (BAP and NAA) was explored for callus induction and organogenesis. Data was collected for callus, shoot and root induction. Maximum callus induction was observed at BAP 5 mgL-1 (76.66%) from cotyledon and (73.33%) from hypocotyls explant. The callus induced from different explants was sub-cultured on the shoot regeneration medium. Higher shoot induction (96.66%) was observed  from cotyledon and hypocotyl explant (76.66%) on MS + 1.0 mgL-1 BAP + 0.2 mgL-1 NAA with maximum number (6.3) of shoot per explant and average shoot length 4.5 cm. Among different types (NAA and IAA) and concentrations (0, 0.1, 0.3, 0.7, 1.0 mgL-1) of auxins investigated for root induction, maximum frequency of rooting was observed in 0.1 mgL-1 NAA while no root formation was observed at higher levels of auxin (1.0 mgL-1). Similarly in case of number of roots per shoot maximum root (4.3) was obtained on MS medium supplemented with 0.1 mgL-1 NAA. Key Words: Regeneration, Explant, Tetraploid, Water Mello

Evaluation of seed priming on germination of Gladiolus alatus

Seed priming improves seed performance under environmental conditions. The study was designed to evaluate the effect of different priming treatments on germination behavior of Gladiolus alatus. The experiment was conducted under complete randomized design (CRD) with four replications. Seed priming was done with different concentration of potassium nitrate (KNO3) and hydropriming. All the treatments had significant effect on germination percentage, germination test in growth room, time for 50% germination and mean germination time. Results show that maximum invigoration was observed in seeds osmoprimed at lower concentrations of KNO3 and with hydropriming while minimum invigoration was observed at higher concentration of KNO3-. It was concluded that germination percentage can be increased by using lower concentrations of KNO3 and with hydropriming.Key words: Priming, hydropriming, gladiolus, germination

Computationally Inexpensive 1D-CNN for the Prediction of Noisy Data of NOx Emissions From 500 MW Coal-Fired Power Plant

Coal-fired power plants have been used to meet the energy requirements in countries where coal reserves are abundant and are the key source of NOx emissions. Owing to the serious environmental and health concerns associated with NOx emissions, much work has been carried out to reduce NOx emissions. Sophisticated artificial intelligence (AI) techniques have been employed during the past few decades, such as least-squares support vector machine (LSSVM), artificial neural networks (ANN), long short-term memory (LSTM), and gated recurrent unit (GRU), to develop the NOx prediction model. Several studies have investigated deep neural networks (DNN) models for accurate NOx emission prediction. However, there is a need to investigate a DNN-based NOx prediction model that is accurate and computationally inexpensive. Recently, a new AI technique, convolutional neural network (CNN), has been introduced and proven superior for image class prediction accuracy. According to the best of the author’s knowledge, not much work has been done on the utilization of CNN on NOx emissions from coal-fired power plants. Therefore, this study investigated the prediction performance and computational time of one-dimensional CNN (1D-CNN) on NOx emissions data from a 500 MW coal-fired power plant. The variations of hyperparameters of LSTM, GRU, and 1D-CNN were investigated, and the performance metrics such as RMSE and computational time were recorded to obtain optimal hyperparameters. The obtained optimal values of hyperparameters of LSTM, GRU, and 1D-CNN were then employed for models’ development, and consequently, the models were tested on test data. The 1D-CNN NOx emission model improved the training efficiency in terms of RMSE by 70.6% and 60.1% compared to LSTM and GRU, respectively. Furthermore, the testing efficiency for 1D-CNN improved by 10.2% and 15.7% compared to LSTM and GRU, respectively. Moreover, 1D-CNN (26 s) reduced the training time by 83.8% and 50% compared to LSTM (160 s) and GRU (52 s), respectively. Results reveal that 1D-CNN is more accurate, more stable, and computationally inexpensive compared to LSTM and GRU on NOx emission data from the 500 MW power plant

Covid-19 vaccines status, acceptance and hesitancy among maintenance hemodialysis patients : a cross-sectional study and the implications for Pakistan and beyond

COVID-19 vaccine hesitancy continues to be a widespread problem in Pakistan due to various conspiracy beliefs, myths and misconceptions. Since the hemodialysis population is at higher risk of contracting infections, we sought to investigate the current COVID-19 immunization status and reasons for any vaccine hesitancy among these patients in Pakistan. This cross-sectional study was conducted among maintenance hemodialysis patients at six hospitals of Punjab Province of Pakistan. Data were collected anonymously using a questionnaire. 399 hemodialysis patients took part in the survey, the majority of them were male (56%) and aged 45 – 64 years. 62.4% of the patients reported receiving at least one dose of COVID-19 vaccine. Of those vaccinated (249), 73.5% had received two dose and 16.9% had received a booster dose. The most common reasons for vaccination were “being aware they were at high risk” (89.6%), “fear of getting infected” (89.2%) and “willingness to fight against COVID-19 pandemic” (83.9%). Of the 150 patients who had not yet been vaccinated, only 10 showed willingness to take the COVID-19 vaccine. The major reasons for refusal included “COVID-19 is not a real problem” (75%), “corona vaccine is a con-spiracy (72.1%)” and “I don’t need the vaccine” (60.7%). Our study revealed that only 62% pa-tients receiving hemodialysis were partially or completely vaccinated against COVID-19. Con-sequently, there is a need to initiate aggressive approaches to educate this high-risk population in order to address their vaccine safety and efficacy concerns and correct current myths and mis-conceptions to improve the COVID-19 immunization status in this population

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication