Study protocol for a pragmatic randomised controlled trial of comparing enhanced acceptance and commitment therapy plus (+) added to usual aftercare versus usual aftercare only, in patients living with or beyond cancer: SUrvivors' Rehabilitation Evaluation after CANcer (SURECAN) trial.

BACKGROUND: Two million people in the UK are living with or beyond cancer and a third of them report poor quality of life (QoL) due to problems such as fatigue, fear of cancer recurrence, and concerns about returning to work. We aimed to develop and evaluate an intervention based on acceptance and commitment therapy (ACT), suited to address the concerns of cancer survivors and in improving their QoL. We also recognise the importance of exercise and vocational activity on QoL and therefore will integrate options for physical activity and return to work/vocational support, thus ACT Plus (+). METHODS: We will conduct a multi-centre, pragmatic, theory driven, randomised controlled trial. We will assess whether ACT+ including usual aftercare (intervention) is more effective and cost-effective than usual aftercare alone (control). The primary outcome is QoL of participants living with or beyond cancer measured using the Functional Assessment of Cancer Therapy: General scale (FACT-G) at 52 weeks. We will recruit 344 participants identified from secondary care sites who have completed hospital-based treatment for cancer with curative intent, with low QoL (determined by the FACT-G) and randomise with an allocation ratio of 1:1 to the intervention or control. The intervention (ACT+) will be delivered by NHS Talking Therapies, specialist services, and cancer charities. The intervention consists of up to eight sessions at weekly or fortnightly intervals using different modalities of delivery to suit individual needs, i.e. face-to-face sessions, over the phone or skype. DISCUSSION: To date, there have been no robust trials reporting both clinical and cost-effectiveness of an ACT based intervention for people with low QoL after curative cancer treatment in the UK. We will provide high quality evidence of the effectiveness and cost-effectiveness of adding ACT+ to usual aftercare provided by the NHS. If shown to be effective and cost-effective then commissioners, providers and cancer charities will know how to improve QoL in cancer survivors and their families. TRIAL REGISTRATION: ISRCTN: ISRCTN67900293 . Registered on 09 December 2019. All items from the World Health Organization Trial Registration Data Set for this protocol can be found in Additional file 2 Table S1.

Assessment of Health-Related Quality of Life in Chronic Kidney Disease Patients: A Hospital-Based Cross-Sectional Study.

Background: Health-related quality of life is rapidly becoming recognized as an important indicator of how a disease affects patient lives and for evaluating the quality of care, especially for chronic conditions such as chronic kidney disease (CKD). Objectives: This study is an attempt to assess the quality of life in patients with chronic kidney disease at MMIMSR and also identify characteristics that may be associated with their worsening quality of life. Materials and Methods: This cross-sectional investigation was conducted at the in-patient department (IPD) of the MMIMSR hospital. This study included 105 CKD patients and used a systematic random sampling method for quantitative analysis. This study utilized a 36-item short-form SF-36 (v1.3) questionnaire to assess HRQoL in CKD patients. Descriptive statistics were employed at the baseline. Chi square and ANOVA were used to draw comparisons between two groups or more than two groups, respectively. Logistic regression analysis was utilized to identify the potential QoL determinants. A p value of 0.05 or lower was used to determine statistical significance. Results: Among a total of 105 participants, the mean (±standard deviation) age was found to be 54.53 ± 13.47 years; 48 were male patients, and 57 were female patients. Diabetes Mellitus (61.9%), hypertension (56.2%), chronic glomerulonephritis (7.6%), chronic pyelonephritis (6.7%), and polycystic kidney disease (5.7%) were identified to be the most frequent disorders associated with CKD. The current study also demonstrated that the HRQoL score domains such as symptom problem list, the effect of kidney disease, and the burden of kidney disease decline significantly and progressively as the patient advances into higher stages of CKD (p = 0.005). A similar pattern was observed in work status, sleep, and general health (p < 0.005). Additionally, a statistically significant difference was noted for cognitive function, quality of social interaction, overall health, dialysis staff encouragement, patient satisfaction, social support, physical functioning, role of physical health, pain, emotional well-being, role of emotional health, social functioning, and energy fatigue (p < 0.005). The mean difference for PCS and MCS based on CKD stages was found to be statistically significant (p < 0.005). The PCS and MCS showed a positive correlation with GFR (r = 0.521), and Hb (r = 0.378), GFR (r = 0.836), and Hb (r = 0.488), respectively. Conclusions: The findings of this study demonstrated that a significant decrease in HRQoL was observed among CKD patients, with a progressive deterioration of HRQoL dimensions as the patient advances to end-stage renal disease. This study also revealed that CKD imposes various restrictions on patients' day-to-day lives, particularly in terms of their physical and mental functioning, even in the initial stages of the disease.

Seed-Based System for Cost-Effective Production of Vaccine Against Chronic Respiratory Disease in Chickens.

The production of vaccines in plant cells, termed plant-made pharmaceuticals or molecular farming, is a promising technology for scalable production. Compared to mammalian cell lines, like Chinese Hamster Ovary (CHO) or bacterial cells, plants can be grown with less cost on a large scale to make vaccines antigens and therapeutics affordable and accessible worldwide. An innovative application of this alternative system is the production of vaccines in edible tissues that can be consumed orally to deliver protein antigen without any further processing. In this project, we report stable expression of amino acid sequences corresponding to the TM-1 gene of Mycoplasma gallisepticum as a candidate vaccine antigen against Chronic Respiratory Disease (CRD) in chickens using wheat seed's tissues as a production host. Molecular and immunoblotting analysis confirmed the ubiquitous expression of a recombinant 41.8-kDa protein with an expression level of 1.03 mg/g dry weight in the endosperm tissues. When orally delivered, the plant-made vaccine was effective in terms of developing antibody response in animal model i.e., chicken without any detectable weight loss. Two doses of orally delivered plant-made TM-1 vaccine candidate elicited the immune response and protective effect against MG virus challenge at the level comparable to commercially available inactivated vaccine against CRD. Our study demonstrates that plant-made vaccines are not only safe but also scalable and cost-effective with prolonged stability at room temperature.

Do changes in land use, water bodies, and grazing pastures have a detrimental influence on environmental quality? Opportunities and threats to long-term growth.

Land use activities mainly for economic and agricultural purposes have converted one third to one half of our planet's land surface into urban expansion and agricultural practice, which has had significant impacts on natural ecosystems, food production, and environmental quality, attracting the attention of researchers and policymakers. Consequently, land use is emerging as a fundamental issue in global environmental change and sustainable development. This study represents an addition to the prevailing literature by investigating the asymmetric impacts of land-use and land-cover changes on environmental quality in Pakistan using time series data from 1961 to 2016. Carbon dioxide (CO2) emissions were deemed a dependent variable (a proxy for environmental quality), whereas built-up land, cropland, water bodies, and grazing land were considered independent. A nonlinear ARDL bound testing technique (NARDL) was used to investigate dynamic cointegration among the study variables. Moreover, this study used the BDS test and structural break unit root test to confirm nonlinearity and stationarity of the data set. The results confirm that the variables exhibit asymmetrical co-integration. There is a symmetric unidirectional causation, running from built-up land and grazing land towards CO2 emissions with coefficients of 10.570 and 17.045, respectively. Furthermore, asymmetric causality shows that any positive shocks to built-up land (6.134) and water bodies (20.335) significantly cause CO2 emissions. Similarly, a negative shock to grazing land (16.470) also causes CO2 emissions. By contrast, a neutral effect was found between cropland and CO2 emissions.

Universalization of Healthcare for Non-Communicable Diseases in India - Promise of Health and Wellbeing, Insurance for Universal Health Coverage.

SUMMARY: Noncommunicable diseases (NCDs) pose a significant global health and economic burden, necessitating universal health coverage (UHC). Out-of-pocket (OOPs) payments for healthcare, particularly in low- and middle-income countries lacking social protection and health insurance, contribute to impoverishment and catastrophic expenditure. This scoping review aimed to assess the state of UHC for NCDs in India, including the progress made, coverage of government health insurance schemes, challenges faced, and their potential solutions. A literature search was performed in major databases such as PubMed, Ovid, Web of Science, Embase, Cochrane Library, and Google Scholar using appropriate keywords. Findings indicated that UHC remains a distant dream in India with a disproportionately high NCD burden and a substantial portion of health-care expenses (80% outpatient, 40% inpatient) relying on OOP expenditures, causing financial hardship. Limited universal social security exacerbates health-care access challenges. The coronavirus disease-2019 pandemic has further hindered NCD services and UHC progress. The Ayushman Bharat program, featuring health and wellness centers and the Pradhan Mantri Jan Arogya Yojana, aims to address primary health-care needs and provide NCD coverage in India. Despite this, challenges persist, including inadequate availability of essential medicines and technologies in health-care facilities, as well as gaps in rural health-care access. Telemedicine services like "eSanjeevani" have been implemented to improve access in remote areas. To achieve UHC for NCDs in India, it is crucial to strengthen primary health-care, ensure medicine availability, enhance human resources, establish a referral system, address social determinants, and implement social protection.

Understanding Key Factors Influencing Consumers' Willingness to Try, Buy, and Pay a Price Premium for Mycoproteins.

Mycoprotein is a fungal-based meat alternative sold in food retail in various countries around the world. The present study builds on a multi-national sample and uses partial least square structural equation modeling. The proposed conceptual model identified key factors that are driving and inhibiting consumer willingness to try, buy, and pay a price premium for mycoprotein. The results relate to the overall sample of 4088 respondents and to two subsample comparisons based on gender and meat consumption behavior. The results show that the biggest drivers of willingness to consume mycoprotein were healthiness, followed by nutritional benefits, safe to eat, and sustainability. Affordability and taste had mixed results. Willingness to consume mycoprotein was inhibited if nutritional importance was placed on meat and, to a lesser extent, if the taste, texture, and smell of meat were deemed important. Best practice recommendations address issues facing marketing managers in the food industry.

Does money buy health? evaluation of stock market performance and economic growth in the wake of the COVID-19 pandemic.

The novel coronavirus pandemic of 2019 (COVID-19) has significantly harmed numerous social and economic activities worldwide, drawing researchers and governments' attention to the problem and tackling it via persistent healthcare measures. The study's primary purpose is to examine the effects of total coronavirus cases, total fatalities, total recovered cases, unemployment, and trade openness on stock prices and economic growth in the world's top 39 affected nations. An analysis of the coronavirus outbreaks found that wealthier countries had a well-established healthcare infrastructure, but they were disproportionately affected by the virus. Conversely, the less wealthy nations had inadequate healthcare infrastructures, but they were not as affected as the wealthier countries. Is it possible to buy health with money? That was the question at the heart of the study's money-and-health curve. The robust least square regression results indicate that an increase in coronavirus cases influences economic growth and stock market performance due to massive healthcare funding distributed globally, sustaining economic and financial activities for a shorter period. However, a continuous increase in coronavirus fatalities depresses the stock market, resulting in financial depression worldwide. Additionally, a rise in overall coronavirus recovered cases has a negative effect on the country's economic development and stock market performance because of greater uncertainty in economic and financial activities. Case fatality ratios influence economic growth, whereas case recovery ratios decrease economic and financial performance due to greater healthcare concerns across countries. Finally, trade openness is critical in sustaining the country's economic development and stock market performance in the wake of the COVID-19 epidemic.

Hydrogeochemical and health risk assessment in and around a Ramsar-designated wetland, the Ganges River Basin, India: Implications for natural and human interactions.

Wetlands are the most productive and dynamic ecosystems, which have continuously been influenced by social and economic development. As a result, the pollution of wetland surface water and groundwater in adjacent regions has become an emerging global issue that requires constant monitoring and assessment. The current study investigates the natural and anthropogenic processes that influence surface and groundwater chemistry in and around Saman wetland (a Ramsar site) in the Ganges River Basin, India. Various physicochemical parameters are analyzed, and different hydrochemical indices are utilized to evaluate surface and groundwater quality for domestic and irrigation purposes. It is observed that the waters are alkaline in nature and dominated by moderately hard to hard types. An increase in the concentration of nitrate (NO3-) in Saman wetland water is noted, which is possibly due to the leaching of nitrogen ions primarily from fertilizers, pesticides, animal and human waste, and wastewater drained from brick and other factories. The elevated fluoride (F-) content in studied groundwater samples is mainly governed by geogenic processes. Furthermore, surface and groundwater chemistry are mainly controlled by weathering reaction (rock-water interaction), excluding a few wetland surface water samples that are placed outside the boomerang-shaped boundaries of Gibb's diagram, which suggests evaporated dominance. Water Quality Index (WQI) estimation suggests that around 57% of groundwater samples have poor groundwater quality for drinking purposes. Estimation of irrigation water quality indices suggests that surface water of Saman wetland is permissible for irrigation purposes; however, none of the samples have excellent and good class as per sodium (alkali) hazard. Furthermore, health risk assessment showed that NO3- and F- levels in the groundwater pose noncarcinogenic health effects, preferably to children, and thus is unfit for drinking purposes. For long-term water resource management and conservation of the Saman wetland, this study suggests proper awareness, appropriate remedial measures, and regular monitoring of the surface as well as groundwater quality monitoring in the study region.

Baseline Knowledge Attitudes Satisfaction and Aspirations With Advance Care Planning: A Cross-Sectional Study.

BACKGROUND: Studies have consistently demonstrated low rates of adoption of Advance Care Planning in the community. METHODS: We studied Medicare enrollees age 65 and over and non-Medicare patients using a cross-sectional survey undertaken in February and March 2019 using questionnaires completed by out-patients attending a teaching hospital clinic in East Tennessee USA. We evaluated patient knowledge, attitudes, satisfaction and aspirations towards Advance Care Planning. RESULTS: 141 properly completed questionnaires were used. All Medicare enrollees were aware of Advanced Care Planning compared to 43% in the non-Medicare group. 70% of the Medicare enrollees and 94% of non-Medicare group were not ready to complete a written Advanced Care Plan. Of the respondents, 46% had appointed spouses, 24% adult children, 11% siblings, 10% parents, 3.6% friends and 1.2% aunts as their surrogate medical decision makers. 41% agreed that they were satisfied with their current advance care planning arrangements. This research identified that individual's knowledge, attitudes and aspirations influenced the adoption of Advance Care. CONCLUSIONS: Patients have adopted the Advance Care Plan concept but have modified it to reduce their concerns by using family and loved ones to convey their wishes instead of filling the required legal documents. Clinicians could improve this informal system and increase the observability of the treatment choices including the use of video and web-based tools.

Environmental quality and the asymmetrical nonlinear consequences of energy consumption, trade openness and economic development: prospects for environmental management and carbon neutrality.

Economic expansion gives rise to modern and energy-efficient technologies and, thus, contributes to a decline in energy usage. Developing countries, including Pakistan, require tremendous efforts to sustain economic growth. However, to attain economic growth, these countries have to cope with greenhouse gas (GHG) emissions and other environmental problems. This research focuses primarily on the asymmetric impacts of energy consumption and economic growth on Pakistan's environmental quality. Accordingly, secondary data spanning from 1971 to 2018 was used, and carbon dioxide emission (CO2) was considered a target variable (a proxy for environmental quality), whereas energy consumption (E) and gross domestic product (GDP) as a proxy for economic growth, and trade accessibility (TR) and foreign direct investment (FDI) as control variables. The nonlinear autoregressive distributed lag (NARDL) approach is used to verify the asymmetric co-integration between the variables selected. Moreover, to examine data stationarity and nonlinearity, we used the Zivot-Andrews structural break unit root and BDS tests, respectively. The findings confirmed the asymmetric and symmetric co-integrations among the considered variables. In addition, the causality analysis reveals that only negative shocks to TR have an effect on CO2 emissions. Similarly, negative shocks to FDI asymmetrically cause CO2 emissions. Meanwhile, GDP symmetrically affects CO2 emissions. Finally, a neutral causal response was observed between E and CO2 emissions. These findings have policy implications in terms of environmental management and carbon neutrality, and they serve as a baseline for future research.

Dynamic linkage between industrialization, energy consumption, carbon emission, and agricultural products export of Pakistan: an ARDL approach.

This study aims to contribute to the literature and examine the causal relationship between Pakistan's agricultural products export, industrialization, urbanization, transportation, energy consumption, and carbon emissions. For the last four decades, time-series data were used to employ short-run and long-run nexus between the selected variables by analyzing the autoregressive distributed lag model (ARDL). The Granger causality test was analyzed to estimate the causality directions. The unit root test results indicate that all the selected variables are stationary at the level and first difference. The bound test confirmed that all variables are cointegrated at a 1% significance level. Long-run estimates suggest that an increase in energy consumption will increase the export of agricultural products. An increase in urbanization, transportation, and carbon emission resulted in a decrease in agricultural products export in Pakistan. In the short run, an increase in industrialization, transportation, and energy consumption leads to an increase in agricultural products export. Increasing urbanization and carbon emission decrease the agricultural products export of Pakistan. Based on our findings, we recommend sustainable agricultural production, renewable energy consumption, low carbon emission technologies, and a green portfolio for sustainable agricultural products export.

Climate change impact assessment, flood management, and mitigation strategies in Pakistan for sustainable future.

In recent years, flooding has not only disrupted social growth but has also hampered economic development. In many nations, this global epidemic has affected lives, property, and financial damage. Pakistan has experienced many floods in the past several years. Due to economic, social, and climate change, Pakistan is at risk of flooding. In order to overcome this problem, the institutions of the country have taken various measures. However, these measures are not sufficient enough to ensure the safety of communities and areas that are prone to disasters with a rapid onset. Hence, it is imperative to forecast future flood-related risks and take necessary measures to mitigate the adverse impacts and losses caused by floods. This article is aimed at exploring floods in Pakistan, analyze the adverse effects of floods on humans and the environment, and propose possible sustainable options for the future. The aqueduct flood analyzer software was used to examine the impact of floods on gross domestic product (GDP), urban damage, and people livelihood, with several years of flood protection plans. To adequately assess the future changes, various flood protection levels and three scenarios for each level of protection were employed, which represent the socio-economic and climate change. The findings revealed that if there is no flood protection, a 2-year flood has a 50% probability of flood occurrence in any given area and may cause no significant impact on GDP, population, and urban damage. Similarly, the probability of a flood occurrence in a five-year flood is 20%, which may cause the country's GDP about $20.4 billion, with 8.4 million population at risk and $1.4 billion urban damage. Furthermore, a 10-year flood has a 10% probability of flood occurrence and may affect the national GDP by $28.9 billion, with 11.9 million affected population and $2.4 billion urban damage in Pakistan. The government of Pakistan should devise appropriate climate change policies, improve disaster preparedness, build new dams, and update relevant departments to mitigate the adverse effects of flooding.

Untying the Precise Impact of COVID-19 Policy on Social Distancing Behavior.

Social distancing has manifold effects and is used as a non-pharmacological measure to respond to pandemic situations such as the novel coronavirus (COVID-19), especially in the absence of vaccines and other useful antiviral drugs. Governments around the globe have adopted and implemented a series of social distancing strategies. The efficacy of various policies and their comparative influence on mechanisms led by public actions and adoptions have not been examined. The differences in types and effective dates of various social distancing policies in various provinces/territories of Pakistan constitute a pure ground to examine the causal effects of each COVID-19 policy. Using the location trends and population movement data released by Google, a quasi-experimental method was used to measure the impact of the government's various social distancing policies on the people's existence at home and their outside social mobility. Based on the magnitude and importance of policy influences, this research ranked six social distancing policies whose influence exceeded the effect of voluntary behavior. Our research outcomes describe that the trend of staying at home was firmly pushed by state-wide home order rather than necessary business closings and policies that were associated with public gathering restrictions. Strong government policies have a strong causal effect on reducing social interactions.

Cost and budget impact analysis of a school-based vision screening programme in Cambodia and Ghana: Implications for policy and programme scale-up.

Poor vision due to unaddressed refractive error in children is considered to be a public health problem in many low- and middle-income countries. Research shows that correcting refractive error with spectacles could have a positive impact on school attendance and academic performance for children. The aim of this study was to estimate the cost of integrating vision screening and provision of spectacles in existing school health programmes in Cambodia and Ghana. Budget impact analysis of the intervention scale up is also reported, including univariate and multivariate sensitivity analyses. This study suggests that the scale up of school-based vision screening programmes is affordable in resource limited settings, such as Cambodia and Ghana, considering the current education budgets, and providing there is sufficient in-country capacity to deliver such interventions at scale. The study highlights several policy and programme implications and provides suggestions for minimising costs and maximising efficiencies of vision screening in a school setting. Findings from this analysis can help education planners and international partners to improve their planning and budgeting processes for school-based interventions to improve health and learning outcomes for children in low- and middle-income countries.

Assessment of genetic polymorphism associated with ATP-binding cassette transporter A1 (ABCA1) gene and fluctuations in serum lipid profile levels in patients with coronary artery disease.

BACKGROUND: Coronary artery disease (CAD) is one of the common genetic and clinical risk factors associated with cardiovascular and multifactorial disorder. ATP-binding cassette transporter A1 (ABCA1) gene plays an important role in lipid metabolism and in multiple studies associated with CAD. However, more studies are needed to identify the exact role of single nucleotide polymorphisms which may cause CAD. OBJECTIVES: The aim of this study is to investigate the genetic association of polymorphism g.1051G > A in the ABCA1 gene with CAD patients in the Saudi population. METHODS: We included 315 confirmed CAD cases, and 205 non-CAD or control subjects in this case-control study. DNA isolation was carried out for all registered participants and the polymorphism g.1051G > A was genotyped with Polymerase Chain Reaction followed by Restriction Fragment Length Polymorphism analysis with EcoNI restriction enzyme. RESULTS: Modifiable risk factors such as Body Mass Index, smoking and diabetes were strongly associated and non-modifiable risk factors such as hypertension (Systolic Blood Pressure and Diastolic Blood Pressure) and serum analysis such as Fasting Blood Glucose, Total cholesterol (TC), Triglyceride (TG) and LDL-c were significantly associated in CAD cases (p < 0.05). Allele (OR-1.73;95% CI:1.33-2.26; p = 0.0004), GA vs GG (OR-2.26; 95% CI: 1.53-3.35; p = 0.0003 and dominant inheritance pattern (OR-2.23; 95% CI:1.56-3.20; p = 0.00009 was strongly associated with CAD cases and control subjects. The frequency level of use of atorvastatin was significantly different among GG, GA and AA subjects. Additionally, TC and TG levels were influenced by the presence of g.1051G > A polymorphism. CONCLUSION: The polymorphism g.1051G > A in the gene ABCA1 is closely associated with the existence of the CAD subjects. This polymorphism could also affect the serum levels of the lipid profile, suggesting a possible occurrence of CAD in the Saudi population.

Development of Hillchol®, a low-cost inactivated single strain Hikojima oral cholera vaccine.

Cholera remains an important global health problem with up to 4 million cases and 140,000 deaths annually. Oral cholera vaccines (OCVs) are now a cornerstone of the WHOs "Ending Cholera - A Global Roadmap to 2030" global program for the eventual elimination of cholera. There are currently three WHO prequalified OCVs available, Dukoral®, Shanchol® and Euvichol-Plus®. These vaccines are effective but due to a multiple strain composition and two different methods of inactivation, are complex and costly to manufacture. We describe here the characterization and industrial scale development of Hillchol®; a novel, likely affordable single-component OCV for low and middle-income countries. Hillchol® consists of formalin-inactivated bacteria of a stable recombinant Vibrio cholerae O1 El Tor Hikojima serotype strain expressing approximately 50% each of Ogawa and Inaba O1 LPS antigens. The novel OCV can be manufactured on an industrial scale at a low cost. Hillchol® was well tolerated in animal toxicology studies and shown to have non-inferior oral immunogenicity in mice for both intestinal-mucosal and serological immune responses when compared with a WHO-prequalified OCV. The optimized production of this single component OCV will reduce cost of OCV production and thus substantially increase vaccine availability. Based on these results, Hillchol® has been produced at a GMP facility and used successfully for clinical phase I/II studies.

Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode Controller.

Electricity demand is rising due to industrialisation, population growth and economic development. To meet this rising electricity demand, towns are renovated by smart cities, where the internet of things enabled devices, communication technologies, dynamic pricing servers and renewable energy sources are integrated. Internet of things (IoT) refers to scenarios where network connectivity and computing capability is extended to objects, sensors and other items not normally considered computers. IoT allows these devices to generate, exchange and consume data without or with minimum human intervention. This integrated environment of smart cities maintains a balance between demand and supply. In this work, we proposed a closed-loop super twisting sliding mode controller (STSMC) to handle the uncertain and fluctuating load to maintain the balance between demand and supply persistently. Demand-side load management (DSLM) consists of agents-based demand response (DR) programs that are designed to control, change and shift the load usage pattern according to the price of the energy of a smart grid community. In smart grids, evolved DR programs are implemented which facilitate controlling of consumer demand by effective regulation services. The DSLM under price-based DR programs perform load shifting, peak clipping and valley filling to maintain the balance between demand and supply. We demonstrate a theoretical control approach for persistent demand control by dynamic price-based closed-loop STSMC. A renewable energy integrated microgrid scenario is discussed numerically to show that the demand of consumers can be controlled through STSMC, which regulates the electricity price to the DSLM agents of the smart grid community. The overall demand elasticity of the current study is represented by a first-order dynamic price generation model having a piece-wise linear price-based DR program. The simulation environment for this whole scenario is developed in MATLAB/Simulink. The simulations validate that the closed-loop price-based elastic demand control technique can trace down the generation of a renewable energy integrated microgrid.

Symmetric and asymmetric effect of energy consumption and CO2 intensity on environmental quality: using nonlinear and asymmetric approach.

This paper investigates the asymmetric impact of energy consumption and carbon dioxide (CO2) intensity on the environmental quality in Russia. The ecological footprint (a proxy for environmental quality) was used as a dependent variable, while independent variables include energy consumption, CO2 intensity, and gross fixed capital formation as a proxy of capital for time series data spanning from 1992 to 2016. To examine the asymmetric cointegration between the selected variables, the nonlinear autoregressive distributed lag (NARDL) method was used. The structural break unit root and BDS tests were used to check data stationarity and nonlinearity, respectively. Besides, the asymmetric causality test in Gauss software was employed to check the causal relationship among the variables. Among the considered variables, the asymmetric cointegration was found. A significant unidirectional symmetric causality was found running from energy consumption to ecological footprint (Wald test = 3.956*) and from ecological footprint to capital (Wald test = 10.115**), while asymmetrically, ecological footprint granger cause energy consumption (Wald test = 6.054**) and capital (Wald test = 6.739**) respectively. On the contrary, a neutral effect was found between environmental quality and CO2 intensity. From these findings, environmental policies are also discussed. Specifically, policymakers should support modern, controlled emission technologies, including nuclear and renewable energy sources and green portfolio investment. Graphical abstract.

Efficient Energy Management of IoT-Enabled Smart Homes Under Price-Based Demand Response Program in Smart Grid.

There will be a dearth of electrical energy in the prospective world due to exponential increase in electrical energy demand of rapidly growing world population. With the development of internet-of-things (IoT), more smart devices will be integrated into residential buildings in smart cities that actively participate in electricity market via demand response (DR) programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, an energy management strategy using price-based DR program is developed for IoT-enabled residential buildings. We propose a wind-driven bacterial foraging algorithm (WBFA), which is a hybrid of wind-driven optimization (WDO) and bacterial foraging optimization (BFO) algorithms. Subsequently, we devised a strategy based on our proposed WBFA to systematically manage the power usage of IoT-enabled residential building smart appliances by scheduling to alleviate peak-to-average ratio (PAR), minimize cost of electricity, and maximize user comfort (UC). This increases effective energy utilization, which in turn increases the sustainability of IoT-enabled residential buildings in smart cities. The WBFA-based strategy automatically responds to price-based DR programs to combat the major problem of the DR programs, which is the limitation of consumer's knowledge to respond upon receiving DR signals. To endorse productiveness and effectiveness of the proposed WBFA-based strategy, substantial simulations are carried out. Furthermore, the proposed WBFA-based strategy is compared with benchmark strategies including binary particle swarm optimization (BPSO) algorithm, genetic algorithm (GA), genetic wind driven optimization (GWDO) algorithm, and genetic binary particle swarm optimization (GBPSO) algorithm in terms of energy consumption, cost of electricity, PAR, and UC. Simulation results show that the proposed WBFA-based strategy outperforms the benchmark strategies in terms of performance metrics.

Asymmetric impact of energy consumption and economic growth on ecological footprint: Using asymmetric and nonlinear approach.

The main objective of this article is to examine the impacts of energy consumption and economic growth on environmental quality in Pakistan. We use the ecological footprint (environmental quality) as a target variable, the control variables of gross domestic products are a proxy of economic growth, and energy consumption and gross fixed capital formation are proxies of capital from 1971 to 2014. For this purpose, a unit root test with break dates is employed for a stationary check, and a BDS test is used for nonlinearity. The nonlinear autoregressive distributed lag approach is employed to assess the asymmetric co-integration among the variables. These results confirm the asymmetric co-integration among the variables. The asymmetric causality technique is also applied to scrutinize the causal link between the variables. The asymmetric feedback effect is observed between positive shocks to environmental quality and energy consumption, and symmetrically, environmental quality causes energy consumption. By contrast, the neutral effect is observed among environmental quality, economic growth, and capital. Based on these findings, current energy portfolios should be diversified by either enhancing or incorporating renewable energy technologies, and this is indispensable to support the existing successful strides of environmental policies. Thus, policymakers must buttress their commitments to reduce emissions by sustaining and decarbonizing the trajectory of economic growth.