Exploring the Students' Perceived Effectiveness of Online Education during the COVID-19 Pandemic: Empirical Analysis Using Structural Equation Modeling (SEM).

The world faced COVID-19, which was a threat to public health and disturbed the educational system and economic stability. Educational institutes were closed for a longer period, and students faced difficulty to complete their syllabus. The government adopted a policy of "suspending classes without stopping learning" to continue education activities. However, student satisfaction with online education is a growing concern. Satisfaction of students is an important indicator of academic quality. Therefore, this study attempts to investigate the influencing factors behind learning satisfaction using information from 335 students from various institutes in Pakistan. This research examined the impact of computer and internet knowledge, instructor and course material, and Learning Management Systems (LMS) on learning satisfaction. The path coefficients were obtained via Partial Least Square-Structural Equation Modeling (PLS-SEM). The LMS is a tool that facilitates the learning process with the provision of all types of educational material. The path coefficient was more in the case of LMS (0.489), which indicates its positive and significant role to attain learning satisfaction. The instructor and course material ordered second (0.261), which shows that the quality of an instructor and course material also plays a positive role to attain learning satisfaction. The computer and internet are essential ingredients of online education, showing a significant and positive path coefficient (0.123), implying that computer and internet knowledge could enhance learning satisfaction. The universities should develop their LMS to implement online education with quality course materials. It is also vital that the instructor should be up to date with modern learning techniques while ensuring internet connectivity, especially in rural areas. The government should provide an internet connection to students at discounted rates.

Role of Nutrition Information in Acceptance and Willingness to Pay for Biofortified Cereal Food: Implications for Better Health and Sustainable Diet.

A range of nutritional needs are met through the use of fortified farm-based foods. Wheat biorfortification with zinc is such an example where biorfortification is carried out for a crucial element like Zinc. Zinc-biofortified wheat (Zn-wheat) has been officially launched in Pakistan since 2016 but its wide-scale dissemination, adoption and consumption have not taken place till to date. On the other hand, essential nutrients deficiencies have wide-ranging implications for public health especially for children and lactating mothers. This study is undertaken to know the reasons for the slow progression of scaling up of biofortified wheat varieties in Pakistan, people's awareness about biofortified wheat and to recognize the role of information in acceptance and willingness to pay for this wheat. For this purpose, randomly selected 474 households were interviewed from four districts of Punjab province. They were categorized into four groups based on their exposure to information in real and hypothetical cheap talk (game theory context). Study findings reveal that respondents were ready to pay for fortified wheat if they are aware about nutrient aspects and Zn deficiency. Using Discrete Choice Experiment, the preferences for and factors affecting the willingness to pay for fortified wheat are evaluated. Main factors having positive impact include household head's education and income, having pregnant women and children <5 years age. It was also found that people having valid information about nutrients of a food would be willing to pay more. The study highlights need for policy focus on educating people about nutritional aspects as well as making available biofortified foods to promote healthy living.

Examining the impacts of future land use/land cover changes on climate in Punjab province, Pakistan: implications for environmental sustainability and economic growth.

Land use and land cover changes (LULCC) significantly affect the climate at regional and global levels through different biogeophysical and biogeochemical processes. However, the effects of biogeophysical aspects of LULCC on climate have been often ignored, which may overestimate the biogeochemical effects on climate change. Thus, understanding the biogeophysical influence of land use changes on climate change in future potential scenarios is crucial. Therefore, it is necessary to identify the mechanism and land use change impacts on future climate under different scenarios through changes in underlying surface and surface energy balance. In order to fill this research gap, three simulations are performed by Weather Research Forecasting (WRF) model for the year 2010-2030 under Business-As-Usual (BAU) scenario, Rapid Economic Growth (REG) scenario, and Coordinated Environmental Sustainability (CES) scenario to evaluate the influence of future LULCC on temperature projections for the Punjab province in Pakistan. Results show that land use conversions under three scenarios induce overall climate cooling in the region. The decrease in annual average temperature in CES scenario (- 0.02 °C) is slightly greater than that in BAU and REG scenarios (- 0.01 °C). The responses of temperature to future LULCC vary in different months in all scenarios, with greater responses in warmer months, causing climate cooling. In each scenario, the response of temperature is found to be sensitive to different land transitions. The findings of the study can be a reference for policy makers, researchers, and development practitioners in their pursuit to understand the effects of land use change on climate.

Modeling food growers' perceptions and behavior towards environmental changes and its induced risks: evidence from Pakistan.

In Pakistan, rice is considered as the second staple food and provides livelihoods to the millions of the farm households. During recent years, rice production in Pakistan significantly decreased reportedly due to changes in climate and its induced risks. This study analyzed the incidence and severity of climate change and its induced risks in the rice-growing region of Pakistan and assessed farmers' perception and attitude by employing risk matrix and Equally Likely Certainty Equivalent model. According to the findings, the majority of the farmers were found risk-averse in behavior, while perceptions varied among different kinds of risks. Among the five kinds of risks, biological and financial risks were conceived as high risk, followed by the climate, biophysical, and social risk. Moreover, probit regression indicated farmers' age, education, landholding, off-farm income, advisory access, and credit utilization among the significant determinants of farmers' risk perceptions and attitudes. These findings suggest adopting a comprehensive approach with extended institutional and adaptation support to deal with various kinds of risks being faced by rice farmers in Pakistan. Graphical abstract.

Enzymatic, Phyto-, and Physicochemical Evaluation of Apple Juice under High-Pressure Carbon Dioxide and Thermal Processing.

In this study, the changes in enzyme activities, total polyphenols, phenolic profile, and physicochemical properties from thermally (25-75 °C) and high-pressure carbon dioxide (HP-CO2) (25-65 °C/20 MPa)-treated apple juice were investigated. The HP-CO2 exhibited complete inactivation of polyphenol oxidase (PPO) at 65 °C, whereas PPO was still active at 75 °C under thermal processing (TP). Similarly, the relative activity of peroxidase (POD) significantly decreased by 71% at 65 °C under HP-CO2 processing, whereas TP was less effective. HP-CO2 and TP treatments at 65 °C reduced the browning degree (BD) value to 0.47 and 0.89, respectively. Thus, HP-CO2 inhibits the browning reactions caused by PPO and POD enzymes at each operating temperature. The concentration of epicatechin and catechin increased significantly with increasing temperature above 45 °C in TP-treated juices. HP-CO2 treatment increased the same phenolic compounds at 35 °C and 9 MPa, whereas high-temperature and -pressure conditions caused insignificant changes in concentration of epicatechin and catechin. Changes in others phenolic compounds were insignificant under TP and HP-CO2 treatment. Overall, HP-CO2 is a promising technology to get high-quality juices with lower enzyme activity.