The Significance of Digital Marketing in Shaping Ecotourism Behaviour through Destination Image

Ecotourism is the most encompassing alternative approach, and it is usually regarded as a panacea capable of combining economic development, environmental protection, and community well-being. Pakistan’s ecotourism industry is relatively new and has significant growth potential, with approximately 6 million domestic and international tourists visiting various northern destinations in 2018. However, as the number of tourists grows, so do the difficulties or obstacles associated with visitor/tourist behaviour, such as pollution, forest cutting, wildlife turmoil, filthy waste/garbage, and forest fire. These potential hazards have become natural environment-harming concerns that occur daily. Prior studies and government policies have emphasised the increasing knowledge and responsibility of ecotourism behaviour among tourists to address the issues. Digital marketing is known as a flashy way to connect with tourists by providing them with diverse tour information and destination images; however, reviews show that a smaller number of previous research in the tourism industry has been involved with digital marketing strategies. They use a quantitative design and Structural Equation Model testing. The guaranteed validity and reliability is an adaptive questionnaire created and tested in pilot research. For data gathering, a multistage sampling method is utilised. This research included 384 tourist respondents from three regions that used digital marketing for their travelling. It was chosen using a random and purposeful sampling process. The study found that destination image is positively connected to ecotourism. The current study employs the Theory of Planned Behaviour (TPB) as a theoretical contribution. The study’s findings suggest that visitors, the government, the tourism industry, and the community may use digital marketing strategies to encourage ecotourism behaviour

Foreign Direct Investment Lead to Exports of Pakistan: An Econometric Evidence

The objective of the study is to empirically analyze that whether foreign direct investment lead to exports of Pakistan for the period from 1972 to 2014. Econometric results are estimated using Partial Adjustment Model for long run as well short run and then some diagnostic statistics are also applied for reliability of results. Long run and short run results propose positive influence of foreign direct investment, exchange rate, trade openness, and real GDP of Pakistan while inflation is found to have inverse effect of exports of Pakistan. Further tests indicate regression model free from Autocorrelation, Heteroskedasticity, abnormality of residuals and dynamic instability problems. Keywords: Foreign Direct Investment, Real GDP, Exports, Exchange Rate, Inflation

Evaluating the Relationship between Work-Family Conflict & Organizational commitment (A Survey of Nursing Staff in Public Sector Hospitals of District Bhakkar, Pakistan)

Organizational commitment of workers has captured the attention of social-researchers. Many organizations are facing the problem of less commitment among employees. Little importance has been given to work–family conflict as one of the many causes of decreasing commitment towards the job. This research was undertaken to check the impact of three forms of work-family conflict (WFC): Time, Behavior and Strain-based, on organizational commitment of nurses in public sectors hospitals of District Bhakkar, Pakistan. Data was collected through survey approach by administering the questionnaires among 110 nurses. Tests of Correlation and regression showed that, WFC-Time was the most significant predictors of less organizational commitment. These findings suggests to the nurses to manage their work and family commitments responsibly. Key Words: Work family conflict, time, strain, behavior, Organizational commitment, affective, normative, continuance

The Delphi Method for Internationalization of Higher Education in Pakistan: Integrating Theory of Constraints and Quality Function Deployment

Improvement of workforce quality is a major concern for the developing countries like Pakistan. Country’s higher education standard determines the quality of their workforce. Developing countries are continuously experiencing different methodologies for the improvement in the higher education standards and to meet the international standards. This study provides a roadmap for improvements in the higher education quality to meet international standard. The study used Delphi approach for the processes of internationalization of higher education. A Delphi panel of 20 educationists participated in the study having minimum 15 years of experience and 3 years in any international institution of higher education. A road map for the internationalization of higher education in Pakistan has been developed from the outcomes of the Delphi panel. In addition, this study used Quality Function Deployment (QFD) as a tool for analyzing the relationship between quality factors of higher education and technical constraints of the higher education institutions. The results show that managerial support and commitment is a key to success in the internationalization of higher education. DOI: 10.5901/mjss.2014.v5n20p270

Nitrogen-Efficient and Nitrogen-Inefficient Indian Mustard Showed Differential Expression Pattern of Proteins in Response to Elevated CO2 and Low Nitrogen

Carbon (C) and nitrogen (N) are two essential elements that influence plant growth and development. The C and N metabolic pathways influence each other to affect gene expression, but little is known about which genes are regulated by interaction between C and N or the mechanisms by which the pathways interact. In the present investigation, proteome analysis of N-efficient and N-inefficient Indian mustard, grown under varied combinations of low-N, sufficient-N, ambient [CO2] and elevated [CO2] was carried out to identify proteins and the encoding genes of the interactions between C and N. Two-dimensional gel electrophoresis (2-DE) revealed 158 candidate protein spots. Among these, 72 spots were identified by matrix-assisted laser desorption ionization-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF). The identified proteins are related to various molecular processes including photosynthesis, energy metabolism, protein synthesis, transport and degradation, signal transduction, nitrogen metabolism and defense to oxidative, water and heat stresses. Identification of proteins like PII-like protein, cyclophilin, elongation factor-TU, oxygen-evolving enhancer protein and rubisco activase offers a peculiar overview of changes elicited by elevated [CO2], providing clues about how N-efficient cultivar of Indian mustard adapt to low N supply under elevated [CO2] conditions. This study provides new insights and novel information for a better understanding of adaptive responses to elevated [CO2] under N deficiency in Indian mustard

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Analytical and numerical approach for the analysis of heat transfer of squeezing flow between two parallel plates

This research offers a thorough examination of thermal transmission within the context of the squeezing flow of a Casson fluid that is confined within two circular plates aligned in parallel. The development of a feasible mathematical framework involves combining the principles of conservation with appropriate similarity transformations. The resulting framework generates a couple of strongly non-linear ordinary differential equations. To tackle these equations, established analytical methods like the (HPM) and its variation, the Least Square Homotopy Perturbation Method (LSHPM), are employed.Additionally, for the validation of the analytical findings, a numerical approach using the BVP5C technique is utilized. A comparative evaluation reveals that the LSHPM consistently provides results of exceptional accuracy compared to the traditional HPM. The investigation delves into observing how the flow performs when experiencing diverse variations in physical attributes, elucidating the complexities through comprehensive visual representations. It is worth noting that the presented problem is subject to specific parameter limitations, which are extensively discussed and taken into account throughout the study. The investigation encompasses a thorough analysis across a range of parameters, including the squeeze number, the Casson fluid parameter, the Prandtl number, the Eckert number and. Notably, an acceleration in the rate of motion is observed concerning the squeeze number and the Casson fluid parameter. In terms of the temperature profile, it is revealed that this profile demonstrates a decreasing trend in relation to both the squeeze number and the Casson fluid parameter. Conversely, it displays an increasing trend with respect to the Prandtl number and the Eckert number