Sono-Microwave Assisted Chlorine free and Ionic Liquid (SMACIL) extraction of cellulose from Urtica dioica: A benign to green approach.

The extraction of cellulose using eco-friendly solvents has been gaining significant attention for a couple of decades. This study investigated the impact of benign and green solvents on the extraction, thermal stability, mechanical properties, and crystallinity of cellulose extracted from Urtica dioica (Stinging nettle) using a Sono-Microwave Assisted Chlorine free and Ionic Liquid (SMACIL) extraction technique. In this regard, the stalks were undergone through pre chemical treatment before starting bleaching them with hydrogen peroxide (HPO) and 1-butyl-3-methylimidazolium acetate (BMIM-Ac) having different mole ratios (5, 7.5, and 10) to expose cellulose. The Urtica dioica cellulose (UDC) was characterized using FTIR, tensile testing, FESEM, XRD, and TGA. The fibrillation and lumen can be seen in SEM images that confirm the extraction of cellulose. The results showed that the BMIM-Ac-10 gives the maximum cellulose yield (88 %) than other compositions. Moreover, the cellulose extracted using BMIM-Ac-10 has high mechanical strength which makes it a potential constituent for various applications in the field of materials science. These results have significant implications for the development of sustainable and efficient processes for the extraction of cellulose.

Elongating the role of renewable energy and sustainable foreign direct investment on environmental degradation.

Climatic variations and GHG emissions are the most debated issues of the current age economically, socially, politically and environmentally. An internationally legally binding treaty on climate change, the "Paris Agreement" is followed by G-8 countries to maintain environmental sustainability with green development. The research investigates the relationship of GHG emissions with renewable energy (RE), foreign direct investment (FDI), total population (TP), and trade (TR). The time span of 22 years is used for analytical purposes covering the period from 2000 to 2021 b y addressing the literary gap. The analytical procession found total population and trade increase GHG emissions because of its modern fundamental layers toxic human activities and polluted trade practices. The decreasing behavior toward GHG emissions has been determined by FDI and RE. The findings of this research have confirmed the long-run relationship among variables. They are evidence that the eco-innovative steps by G-8 countries significantly reduce GHG emissions directly or indirectly. Furthermore, the analytical outcomes indicate that innovative green development in renewable energy sector can reduce the GHG emissions pressure from this sector and contribute to net zero emissions. The extracting results have suggested policies for environmental practitioners and economic developers.

Recent analytical tools to mitigate carbon-based pollution: New insights by using wavelet coherence for a sustainable environment.

Anthropogenic activities are a ubiquitous source of carbon-based pollution. A sustainable environment is endangered due to inefficiently regulated pollution policies, and the rise in world population further enhances the severity of this formidable challenge. This study has investigated the impact of the annual CO2 emissions in Pakistan on electricity production from different sectors, GDP, and the population by focusing on the control of carbon-based pollution. This research study intends to fill the gap in previous studies by providing significant measures to link the control of carbon-based pollution, increased GDP, and Pakistan's population, using data from 1990 to 2020. A set of 15 variables are mainly used to investigate all of these relations. Carbon pollution drastically impacts both the external and internal environment. The graphical analysis undertaken in this study finds an upward trend and significant positive correlation among the variables. It demonstrates that Pakistan shows minimal contribution in CO2 emission compared to other Asian economies, but in recent decades, an increasing growth rate has been noticeable and needs to be controlled. The ECM and ARDL approaches confirm that all the variables positively affect CO2 emission both in the long- and short-term, except for electricity production from gas and hydro in the long term, which shows negative relation. The long-term shifts also indicate that high CO2 emissions can be recovered from by adjusting these variables. The study also suggests that the government should convert high carbon use to low carbon energy use to control CO2 emissions in Pakistan.

Does energy use and economic growth allow for environmental sustainability? An empirical analysis of Pakistan.

The rapid growth of environmental pollution and the destruction of eco-systems force every individual economy to focus on environmentally friendly economic development. This research explores economic growth, energy use, foreign direct investment, agriculture, industrialization, and urban population growth with environmental sustainability proxied as CO2 emissions from 1971 to 2018. Econometric methods are employed for different purposes as the unit root for the stationary check. ARDL determines the long-run relationship, while the Decoupling Index examines the growing speed of variables and CO2 emissions, and VECM has been used for short- and long-run causalities. The study's findings confirm the long-run impact of all environmental pollution variables as ECM-1 is negatively significant. The short-run causality test shows CO2 emissions because of economic growth (GDP = > CO2 ≠ GDP), energy use (ENU = > CO2 ≠ ENU), and foreign direct investment (FDI = > CO2 ≠ FDI) at a 1% level. In contrast, CO2 emissions are not the Granger cause of GDP, ENU, and FDI. Economic growth, energy use, and foreign direct investment will increase CO2 emission, not vice versa. The study findings suggest that governments should move toward adopting green technology by implementation of green fiscal policies.

Elongating Nexus Between Workplace Factors and Knowledge Hiding Behavior: Mediating Role of Job Anxiety.

PURPOSE: The study objective is to investigate the relationship between workplace ostracism, workplace incivility, and knowledge hiding behavior (evasive hiding, playing dumb, rationalized hiding) while considering the mediating role of job anxiety. METHODS: The study collected data through structured questionnaires from 275 participants (ie, employees) working in the small to medium-sized enterprise of five big cities of Pakistan. The study adopted a structured equation modeling technique for data analysis. RESULTS: Significantly, the study results suggest a positive effect of workplace ostracism and workplace incivility on employees' knowledge hiding behavior, and job anxiety significantly mediates the relationship between workplace ostracism, workplace incivility, and knowledge hiding behavior of employees. CONCLUSION: The present study highlights the need to examine the personality disposition for understanding the relationship between the variables (eg, workplace ostracism, workplace incivility, knowledge hiding behavior). Employees' inappropriate behavior had suppressed by initiating a campaign for a realistic job preview, setting an exceptional example. The study significantly contributes to the current literature on knowledge hiding behavior by presenting valuable insight into organizational and individual variables, subsequently influencing the knowledge hiding behavior of individuals. Indeed, this study is the first to investigate the predictive effect of the proposed variables.

A blessing in disguise: new insights on the effect of COVID-19 on the carbon emission, climate change, and sustainable environment.

COVID-19, declared by the World Health Organization (WHO) to be a pandemic, has affected greenhouse gas emissions and contributed to the uncertainty of environmental activities. This study demonstrates the effect of lockdowns, the number of new confirmed cases, and the number of newly confirmed deaths due to COVID-19 on CO2 emissions. The data series used are for the UK from 23 March 2020 to 31 December 2020 and for Spain from 14 March 2020 to 31 December 2020. This research adopted the Augmented Dickey-Fuller (ADF) test for a stationarity check of the data series, the Johansen cointegration test for determining cointegration among variables, and the vector error correction model (VEC) Granger causality test for directional cause and effect between exogenous and endogenous variables. The VEC model shows a bidirectional relationship between CO2 emissions and lockdown and a unidirectional relationship with newly confirmed cases and deaths for the UK. The results of Spain confirmed the unidirectional relationship of CO2 emissions, lockdown, new confirmed cases, and deaths. The Granger causality test reconfirms the relationship of variables except for newly confirmed deaths for the UK and newly confirmed cases for Spain. Conclusively, the pandemic breakout reduced the emission of CO2. The directional relation of variables supported the short-run relationship of CO2 emissions with newly confirmed cases and deaths, while a long- and short-run relationship was shown with lockdown. The directional and relational behavior of lockdown potentially linked the CO2 emissions with daily life activities.

The influence of energy consumption and economic growth on environmental degradation in BRICS countries: an application of the ARDL model and decoupling index.

The multi-dimensional pollutions in the earth zone due to the degradation of the environmental levels have been emerging as an urgent issue in the developing economies. The BRICS group of countries holds a unique position in the emerging economies, playing a leading role in reinforcing political power globally and domestically. This study examines the annual time series over the period of 1971-2017 for Brazil, India, China, and South Africa, and 1990-2017 for Russia, to explore the relationship between environmental quality and economic growth in correspondence with the Environmental Kuznets Curve (EKC) hypothesis as well as the Decoupling Index (DI). The presence of an EKC strongly supports any of the individualistic environmental determinants effected in the long run by Autoregressive Distributed Lag (ARDL), building linkage with the approach of the co-integration and the DI, which brings about economic growth as well as CO2 emission and environmental degradation simultaneously. A short-run relationship and presence of the EKC hypothesis are observed in Brazil, Russia, and India with 92%, while China's (55%) and South Africa's (79%) have a slower speed of adjustment to long-run equilibrium. This study concludes that economic expansion and environmental degradation are interrelated in the long run. Environment degradation (CO2 emission) can be eradicated by continuous economic growth, management of energy demands and energy crises, implementation of environmentally sustainable policies, application of green technologies for the use of natural resources, and controllability of urban population growth with immediate and effective actions.

Extending the Association Between Leader-Member Exchange Differentiation and Safety Performance: A Moderated Mediation Model.

PURPOSE: This study examines and analyses the impact of leader-member exchange differentiation (LMXD) on employee safety performance. METHODS: A quantitative study was conducted on a sample of 357 Chinese construction industry employees through a structured questionnaire. The research hypothesis was tested by using the structural equation modelling (SEM) technique. RESULTS: The results showed that LMXD could directly and positively affect the negative emotions and indirectly affect the safety performance of employees through the mediating effect of negative emotions and work engagement. Interpersonal trust has a moderating impact on the relationship between LMXD and negative emotions. CONCLUSION: This study contributes to the literature on organizational behavior. Employee workplace safety is a great challenge in the construction industry. Enterprises should pay attention to the negative impact of LMXD. A fair working environment has significant importance to the employee's safety.

Materials diversity of hydrogel: Synthesis, polymerization process and soil conditioning properties in agricultural field.

BACKGROUND: The cumulative influence of global warming, climate abrupt changes, growing population, topsoil erosion is becoming a threatening alarm for facing food challenges and upcoming global water issues. It ultimately affects the production of food in a water-stressed environment and slows down the production with more consumption of fertilizers by plants. The superabsorbent hydrogels (SAHs) have extensive applications in the agricultural field and proved very beneficial for plant growth and soil health. These polymeric materials are remarkably distinct from hygroscopic materials owing to their multidimensional network structure. It retains a lot of water in its 3D network and releases it slowly along with nutrients to plant in stressed environment. AIM OF REVIEW: A soil conditioner boosts up the topology, compactness, and mechanical properties (swelling, water retention, and slow nutrient release) of soil. The superabsorbent hydrogel plays an astonishing role in preventing the loss of nutrients during the heavy flow of rainwater from the upper surface of soil because these SAHs absorb water and get swollen to keep water for longer time. The SAHs facilitate the growth of plants with limited use of water and fertilizers. Beyond, it improves the soil health and makes it fertile in horticulture and drought areas. KEY SCIENTIFIC CONCEPT OF REVIEW: The SAHs can be synthesized through grafting and cross-linking polymerization to introduce value-added features and extended network structure. The structure of superabsorbent hydrogel entirely based on cross-linking that prompts its use in the agricultural field as a soil conditioner. The properties of a SAHs vary due to its nature of constituents, polymerization process (grafting or cross-linking), and other parameters. The use of SAHs in agricultural field comparatively enhances the swelling rate up to 60-80%, maximum water retaining, and slowly nutrient release to plants for a longer time.

Cellulose extraction of Alstonia scholaris: A comparative study on efficiency of different bleaching reagents for its isolation and characterization.

The incredible benefits of Alstonia scholaris are piquing researchers' attention in extracting its cellulose and utilizing it in further therapeutic applications. This study is based on cellulose extraction from its stalks and processed through chemical pre-treatments to manifest its cellulose content by using different bleaching reagents. A comparison was made on efficiencies of three reagents and it is found that the hydrogen peroxide exposed maximum cellulose than sodium hypochlorite and sodium chlorite. The experimental results revealed that A. scholaris possess 68-70% cellulose content. FTIR spectrum shows that OH- and CH- vibrations of cellulose appeared at 3320 cm-1 & 2892 cm-1 respectively whereas SEM images show fibrillation, rough surface, and lumens in bleached fiber that attributes to the removal of lignin and hemicelluloses and confirms cellulose extraction. The XRD pattern certifies the crystalline nature and compactness of cellulose whereas tensile properties and TGA help in understanding its flexibility, mechanical strength, and thermal stability at 370 °C respectively.

Low temperature green extraction of Acer platanoides cellulose using nitrogen protected microwave assisted extraction (NPMAE) technique.

Practicability of advanced and innovative techniques facilitates the high yield of cellulose extraction within a short period. The research aimed at the extraction of naturally abundant cellulose from Acer platanoides by "Nitrogen protected microwave assisted extraction (NPMAE)". The NPMAE uses microwaves for heating the sample and helps in fast extraction of cellulose in the presence of nitrogen atmosphere. Cellulose extraction was intensified by bleaching treatment in closed multimode NPMAE system at 100 W and 120 °C for 15 min. Experiment's result found that Acer platanoides fiber contains 70% cellulose content and diffferent analysis were studied for all chemically pre-treated fibers and found variations in results after each chemical treatment. The SEM results of bleached fibers show the rough surface due to the removal of lignin and hemicellulose. XRD pattern and FTIR analysis are in the favor of cellulose extraction and results show the presence of type I cellulose with 65% crystallinity index whileTGA and dTGA results explain that cellulose of Acer platanoides bleached fibers (APBF) is more thermally stable below 370 °C than other pre-treated fibers.

The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test.

Organizational risks are present in any activity, so it is important to manage them properly. The jobs are dynamic and involve a series of processes and activities. The entire human resource is exposed to several risks. If these risks are approached correctly, the organizational capacity to achieve its objectives and vision will increase considerably. This paper aims to investigate the relationships between work accidents (fatal and non-fatal) and the causes that contribute to their occurrence (causes dependent on the executor, causes dependent on the means of production, workload-dependent causes, and work-dependent causes-the work environment). The augmented Dickey-Fuller (ADF) test is employed to check the data stationarity series, while the Johansen test determines the cointegration relation of variables. The data have been collected from Romanian organizations. The vector error correction model (VECM) and Granger causality test are applied for speed of adjustment, nature, and direction of variables' relationship. This research demonstrated that both data series are free from the unit-root problem at first difference. The lag length criterions select the third lag for model fitness, and Johansen cointegration declares that variables are cointegrated for the long term. The vector error correction model shows the speed of adjustment from the short to the long run is 83.35% and 42.60% for work and fatal accidents. The study results show that fatal accidents have a series relationship with selected cases for the short run and have a long-run relationship with the means of production. Fatal accidents are directly related to means of production. Fatal accidents are not designed by executors, workload-dependent causes, or work environments in the short run. Fatal accidents are directly related to the means of production and sudden incidents happening in the long run. Fatal accidents are considered by executors, workload-dependent causes, or work environments in the short run. In the long run, fatal accidents are directly related to the means of production and sudden incidents happening.

The Investor Psychology and Stock Market Behavior During the Initial Era of COVID-19: A Study of China, Japan, and the United States.

A highly transmittable and pathogenic viral infection, COVID-19, has dramatically changed the world with a tragically large number of human lives being lost. The epidemic has created psychological resilience and unbearable psychological pressure among patients and health professionals. The objective of this study is to analyze investor psychology and stock market behavior during COVID-19. The psychological behavior of investors, whether positive or negative, toward the stock market can change the picture of the economy. This research explores Shanghai, Nikkei 225, and Dow Jones stock markets from January 20, 2020, to April 27, 2020, by employing principal component analysis. The results showed that investor psychology was negatively related to three selected stock markets under psychological resilience and pandemic pressure. The negative emotions and pessimism urge investors to cease financial investment in the stock market, and consequently, the stock market returns decreased. In a deadly pandemic, the masses were more concerned about their lives and livelihood and less about wealth and leisure. This research contributes to the literature gap of investors' psychological behavior during a pandemic outbreak. The study suggests that policy-makers should design a plan to fight against COVID-19. The government should manage the health sector's budget to overcome future crises.

Modeling the relationship between carbon emissions and environmental sustainability during COVID-19: a new evidence from asymmetric ARDL cointegration approach.

The study aims to examine the CO2 emissions by considering the implication of COVID-19 under strict lockdown in India. The nonlinear (asymmetric) relationship is investigated between CO2 emission and COVID-19 with its specific determinants. The positive and negative asymmetries of COVID-19 determinants are also captured by using econometric techniques. The daily data series of CO2 emission, new confirmed cases, confirmed deaths, and lockdown as dummy variables from January 30, 2020, to December 1, 2020, for India is analyzed by employing the nonlinear autoregressive distributed lag model. This research revealed a significant nonlinear relationship between CO2 emission and COVID-19. The bound test and asymmetric coefficients are confirmed by the variables' long- and short-run relationships. The dynamic multiplier graphs present that India's strict lockdown due to the rapid increase in COVID-19 patients significantly reduces toxic gas emissions, especially CO2 emissions. This asymmetric relationship has been proficiently declared that unhealthy public routine, extra traffic, and unhygienic gases released in the air become the reason for environmental destruction. The lockdown is practically imposed for specific periods and reasons, contributing to reducing toxic emissions, but it is not a permanent solution for environmental sustainability. The government of India, policymakers, and environmentalists should make people aware of unhealthy and environmentally envying activities and policies and long-term applicable strategies should be designed to upgrade the environment's quality.

The Empirical Investigation Between Ethical Leadership and Knowledge-Hiding Behavior in Financial Service Sector: A Moderated-Mediated Model.

This study aimed to investigate the impact of ethical leadership on knowledge-hiding behavior of the employees working in the financial services sector under the mediating role of meaningful at work and moderating role of ethical climate. For this purpose, data were collected from two hundred and fifteen employees of financial services providing organizations. The already-established scales were followed to develop an instrument that was used to obtain responses from the respondents. Collected data were analyzed by applying the structural equation modeling through Smart PLS and Process Macro. The results indicate that ethical leadership and meaningful work (MW) reduce knowledge-hiding behavior of employees at work, while ethical leadership positively impacts the influential work of employees at the workplace. Further, the relationship between ethical leadership and knowledge-hiding behavior is partially mediated by MW. Similarly, ethical climate moderated the relationship between ethical leadership and knowledge-hiding behavior. This research makes valuable contributions to the existing literature on leadership and knowledge management. From a practical point of view, this study stresses that managers at work should promote ethical leadership styles to promote MW, which will reduce knowledge hiding. Thus, in this way, it will enhance the innovation and creativity within organizational circuits. The limitations and future directions of this study are also listed.