Government of Punjab

Zinc (Zn) deficiency caused by inadequate dietary intake is a global nutritional problem in human populations, especially in developing countries. Therefore, Biofortification of wheat and other cereal crops is an urgent challenge and high-priority research task. A field study was planned to evaluate the influence of zinc application on grain yield, grain zinc and grain phytic acid concentrations of wheat cultivars. In this study, we also examined the relationships between grain yield, grain zinc and grain phytic acid concentration. Three wheat cultivars, i.e., C1=Faisalabad-2008, C2=Punjab-2011 and C3=Millet-2011 were tested with five different zinc application methods, i.e., T1=control, T2=seed priming, T3=soil application, T4=foliar application and T5=soil+foliar application. We found that grain yield and grain zinc were positively correlated, whereas, grain phytic acid and grain zinc were significantly negatively correlated. Results also revealed that soil+foliar, soil and foliar application alone considerably increased the grain yield; however, seed priming slightly enhanced the grain yield. Grain zinc concentration increased from (33.1, 33.7 mg kg-1) at control to (62.3, 63.1 mg kg-1) at soil+foliar application in 2013-14 and 2014-15 respectively. Zinc application methods, especially, soil+folair application markedly decreased the grain phytic acid contents, however, the maximum grain phytic acid concentration was recorded with no zinc application. Moreover, all the tested cultivars also had considerable variations for the grain yield, grain zinc and grain phytic acid contents. Conclusively, soil+foliar application of zinc is suitable for the optimum grain yield and grain bio-fortification of wheat.

Edible insects have become a recognized alternative and sustainable source of high-quality proteins and fats for livestock or human consumption. In the production process of black soldier fly (BSF), (Hermetia illucens L. [Diptera: Stratiomyidae]), initial substrate pH is a critical parameter to ensure the best value of insect biomass, life history traits, and quality bio-fertilizer. This study examined the impact of initial pH values on BSF larvae production, development time, and adult longevity. The BSF were reared on artificial diet with initial pH of 2.0, 4.0, 6.0, 8.0, and 10.0; the control was set at 7.0. Final BSF larval weight was significantly greater in substrates having initial pH 6.0 (0.21 g), control 7.0 (0.20 g), and 10.0 (0.20 g) with no significant difference among them, whereas larval weight reared with initial pH 2.0 and 4.0 were lowest at 0.16 g (-23%). Prepupal weight was greatest when larvae were reared on substrates with initial pH 6.0 (0.18 g), control 7.0 (0.19 g), 8.0 (0.18 g), and 10.0 (0.18 g). In contrast, the prepupal weight of larvae reared on diets with initial pH 2.0 was lowest at 0.15 g (-22%). Larval development time was 21.19 d at pH 8.0, about 3 d (12.5%) shorter than that of those reared on diets with initial pH 6.0, 7.0 control, and 10.0. In all treatments, pH shifted to 5.7 after 3-4 d and 8.5 after 16-17 d except for two groups (2.0 and 4.0) where the pH remained slightly acidic 5.0 and 6.5, respectively.

An electrochemical sensor based on glassy carbon electrode modified by Ag₂O@La₂O₃ nanosheets with 5% ethanolic nafion as conducting binder was developed for the selective and ultra-sensitive determination of 3-methoxyanaline in the presence of other interfering toxic chemicals in aqueous system by electrochemical approach for the first time.

Plant tissue culture technique employed for the identification and isolation of bioactive phytocompounds has numerous industrial applications. It provides potential benefits for different industries which include food, pharmaceutical and cosmetics. Various agronomic crops i.e., cereals, fruits, vegetables, ornamental plants and forest trees are currently being used for in vitro propagation. Plant tissue culture coupled with biotechnological approaches leads towards sustainable agricultural development providing solutions to major food security issues. Plants are the rich source of phytochemicals with medicinal properties rendering them useful for the industrial production of pharmaceuticals and nutraceuticals. Furthermore, there are numerous plant compounds with application in the cosmetics industry. In addition to having moisturizing, anti‐ageing, anti‐wrinkle effects; plant-derived compounds also possess pharmacological properties such as antiviral, antimicrobial, antifungal, anticancer, antioxidant, anti-inflammatory, and anti-allergy characteristics. The in vitro propagation of industrially significant flora is gaining attention because of its several advantages over conventional plant propagation methods. One of the major advantages of this technique is the quick availability of food throughout the year, irrespective of the growing season, thus opening new opportunities to the producers and farmers. The sterile or endangered flora can also be conserved by plant micro propagation methods. Hence, plant tissue culture is an extremely efficient and cost-effective technique for biosynthetic studies and bio-production, biotransformation, or bioconversion of plant-derived compounds. However, there are certain limitations of in-vitro plant regeneration system including difficulties with continuous operation, product removal, and aseptic conditions. For sustainable industrial applications of in-vitro regenerated plants on a large scale, these constraints need to be addressed in future studies.

OBJECTIVE: The aim of this study was to explore inequities in knowledge, attitudes and practices regarding tuberculosis (TB) among the urban and rural populations. DESIGN: A cross-sectional study was conducted in two districts of Pakistan's Punjab province. The 1080 subjects aged 20 years and above, including 432 urban and 648 rural respondents, were randomly selected using multistage cluster sampling and interviewed after taking verbal informed consent. Logistic regression was used to calculate the crude odds ratio (OR) with 95% confidence interval (CI) for the urban area. The differences in knowledge, attitudes, practices and information sources between the urban and rural respondents were highlighted using Pearson chi-square test and Fisher's exact test. RESULTS: The study revealed poor knowledge regarding TB. The deficit was greater in the rural areas in all aspects. The knowledge regarding symptoms (OR 2.03, 95% CI 1.59-2.61), transmission (OR 1.93, 95% CI 1.44-2.59), prevention (OR 2.24, 95% CI 1.70-2.96), duration of standard treatment (OR 1.88, 95% 1.41-2.49) and DOTS (OR 1.84, 95% CI 1.43-2.38) was significantly higher in the urban areas (all P < 0.001). Although a majority of the subjects (urban 83.8%, rural 81.2%) were aware of the correct treatment for TB, less than half (urban 48.1%, rural 49.2%) were aware of the availability of the diagnostic facility and treatment free of cost. The practice of seeking treatment at a health facility (P = 0.030; OR 2.01, 95% CI 1.06-3.82), as soon as they realized that they had TB symptoms (P < 0.001; OR 1.72, 95% CI 1.26-2.35), was significantly higher in the urban areas. People in the urban areas were more likely to feel ashamed and embarrassed being a TB patient (P < 0.001; OR 2.03, 95% CI 1.50-2.76); however, they seem to be supportive in case their family member suffered from TB (P = 0.005; OR 1.53, 95% CI 1.13-2.06). Nearly half of the respondents, irrespective of the area of residence, believed that the community rejects the TB patient (urban 49.8%, rural 46.4%). Television (urban 80.1%, rural 68.1%) and health workers (urban 30.6%, rural 41.4%) were the main sources for people to acquire the TB related information. CONCLUSION: Respondents' knowledge regarding TB was deficient in all aspects, particularly in the rural areas. Intended health seeking behavior was better in the urban areas. Television and health workers were the main sources for TB related information in both the urban as well as the rural areas. Therefore, the area of residence should be considered in tailoring communication strategies and designing future interventions for TB prevention and control.

Of 6634 registered industries in Pakistan, 1228 are considered to be highly polluting. The major industries include textile, pharmaceutical, chemicals (organic and inorganic), food industries, ceramics, steel, oil mills and leather tanning which spread all over four provinces, with the larger number located in Sindh and Punjab, with smaller number in North Western Frontier Province (NWFP) and Baluchistan. Hattar Industrial Estate extending over 700 acres located in Haripur district of NWFP is a new industrial estate, which has been developed with proper planning for management of industrial effluents. The major industries located in Hattar are ghee industry, chemical (sulfuric acid, synthetic fiber) industry, textile industry and pharmaceuticals industry. These industries, although developed with proper planning are discharging their effluents in the nearby natural drains and ultimately collected in a big drain near Wah. The farmers in the vicinity are using these effluents for growing vegetables and cereal crops due to shortage of water. In view of this discussion, there is a dire need to determine if these effluents are hazardous for soil and plant growth. So, effluents from different industries, sewage and normal tap water samples were collected and analysed for pH, electrical conductivity (EC), total soluble salts (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), total nitrogen, cations and anions and heavy metals. The effluents of ghee and textile industries are highly alkaline. EC and TSS loads of ghee and textile industries are also above the National Environmental Quality Standards (NEQS), Pakistan. All the effluents had residual sodium carbonates (RSCs), carbonates and bicarbonates in amounts that cannot be used for irrigation. Total toxic metals load in all the effluents is also above the limit i.e. 2.0 mg/L. Copper in effluents of textile and sewage, manganese in ghee industry effluents and iron contents in all the effluents were higher than NEQS. BOD and COD values of all the industries are also above the NEQS. On the whole, these effluents cannot be used for irrigation without proper treatment otherwise that may cause toxicity to soil, plants and animals as well add to the problems of salinity and sododicity. Similarly, these effluents cannot be used for fish farming.

Climate change is recognized as one of the greatest challenges of 21st century. This study investigated climate and hydrological regimes of the high-altitude Indus basin for the historical period and extreme scenarios of future climate during 21st century. Improved datasets of precipitation and temperature were developed and forced to a fully-distributed physically-based energy-balance Variable Infiltration Capacity (VIC) hydrological model to simulate the water balance at regional and sub-basin scale. Relative to historical baseline, the results revealed highly contrasting signals of climate and hydrological regime changes. Against an increase of 0.6 °C during the last 40 years, the median annual air temperature is projected to increase further between 0.8 and 5.7 °C by the end of 21st century. Similarly, a decline of 11.9% in annual precipitation is recorded, but future projections are highly conflicting and spatially variable. The Karakoram region is anticipated to receive more precipitation, while SW-Hindukush and parts of W-Himalayan region may experience decline in precipitation. The Model for Interdisciplinary Research On Climate version-5 (MIROC5) generally shows increases, while Max Planck Institute Earth System Model at base resolution (MPI-ESM-LR) indicates decreases in precipitation and river inflows under three Representative Concentration Pathways (RCPs) of 2.6, 4.5 and 8.5. Indus-Tarbela inflows are more likely to increase compared to Kabul, Jhelum and Chenab river inflows. Substantial increase in the magnitudes of peak flows and one-month earlier attainment is projected for all river gauges. High flows are anticipated to increase under most scenarios, while low flows may decrease for MPI-ESM-LR in Jhelum, Chenab and Kabul river basins. Hence, hydrological extremes are likely to be intensified. Critical modifications in the strategies and action plans for hydropower generation, construction and operation of storage reservoirs, irrigation withdrawals, flood control and drought management will be required to optimally manage water resources in the basin.

In response to the dual problems of global climate change and the economic crisis, the concept of the green economy has spread beyond environmental economics and into mainstream politics and business. The green Belt and Road Initiative (BRI) is a critical component of achieving a green transition in the regional economy, as well as a key component of the United Nations 2030 Agenda for Sustainable Development. We used data envelopment analysis and system GMM techniques to measure the association between Government expenditure and the green economic performance. This method uses panel data from 2008 to 2018 in selected BRI countries. The results show that the fluctuations in the green economic performance index of BRI countries are caused by the lack of serious government policies. Moreover, the econometric findings shows that government expenditure have positive significant effect on green economic performance. Furthermore, the analysis demonstrates that public expenditure on human capital and renewable energy leads to a productive green economy through labor, and technically advance developmental practices, with varying consequences in distinctive countries. This research also includes policy recommendations for BRI countries.

Breast cancer is a heterogeneous disease with different molecular subtypes. Breast cancer is the second leading cause of mortality in woman due to rapid metastasis and disease recurrence. Precision medicine remains an essential source to lower the off-target toxicities of chemotherapeutic agents and maximize the patient benefits. This is a crucial approach for a more effective treatment and prevention of disease. Precision-medicine methods are based on the selection of suitable biomarkers to envision the effectiveness of targeted therapy in a specific group of patients. Several druggable mutations have been identified in breast cancer patients. Current improvements in omics technologies have focused on more precise strategies for precision therapy. The development of next-generation sequencing technologies has raised hopes for precision-medicine treatment strategies in breast cancer (BC) and triple-negative breast cancer (TNBC). Targeted therapies utilizing immune checkpoint inhibitors (ICIs), epidermal growth factor receptor inhibitor (EGFRi), poly(ADP-ribose) polymerase inhibitor (PARPi), antibody-drug conjugates (ADCs), oncolytic viruses (OVs), glucose transporter-1 inhibitor (GLUT1i), and targeting signaling pathways are potential treatment approaches for BC and TNBC. This review emphasizes the recent progress made with the precision-medicine therapy of metastatic breast cancer and TNBC.

Rhizobacteria containing 1‐aminocyclopropane‐1‐carboxylic acid‐deaminase (ACC‐deaminase) and exopolysaccharides (EPS) activity are important to induce stress tolerance in plants. The present study was conducted to screen and characterize plant growth‐promoting rhizobacteria (PGPR) with ACC‐deaminase and EPS‐producing activity for improving maize growth under drought stress. Eighty‐five rhizobacterial strains were isolated from the rain‐fed areas, among those 69 isolates were able to utilize ACC and 31 strains were found positive for EPS production. These strains containing ACC‐deaminase and/or EPS‐producing activity were subjected to drought tolerance assay by inducing water stress in media using polyethylene glycol 6000. Based on results of the drought tolerance bioassay, 12 most prominent strains were selected to evaluate their growth‐promoting abilities in maize under water‐stressed conditions by conducting jar trial. The impact of strains on maize growth parameters was variable. Strains with co‐existence of ACC‐deaminase and EPS‐producing activity showed comparatively better results than those with either ACC‐deaminase or EPS‐producing activity only. These strains were also significantly better in improving the plant physiological parameters including photosynthesis rate, stomatal conductance, vapor pressure, water‐use efficiency and transpiration rate. The strain D 3 with co‐existence of ACC‐deaminase and EPS‐producing activity was significantly better in colonizing maize roots, improving plant growth and physiological parameters. The strain was named as Bacillus velezensis strain D 3 (accession number MT367633) as confirmed through results of 16S rRNA partial gene sequencing. It is concluded that the strains with co‐existence of ACC‐deaminase and EPS‐producing activity could be better suited for improving crop growth and physiology under drought stress.

The Indus River Basin covers an area of around 1 million square kilometers and connects four countries: Afghanistan, China, India, and Pakistan. More than 300 million people depend to some extent on the basin’s water, yet a growing population, increasing food and energy demands, climate change, and shifting monsoon patterns are exerting increasing pressure. Under these pressures, a “business as usual” (BAU) approach is no longer sustainable, and decision makers and wider stakeholders are calling for more integrated and inclusive development pathways that are in line with achieving the UN Sustainable Development Goals. Here, we propose an integrated nexus modeling framework co-designed with regional stakeholders from the four riparian countries of the Indus River Basin and discuss challenges and opportunities for developing transformation pathways for the basin’s future.

The innovative development of nanomedicine has promised effective treatment options compared to the standard therapeutics for cancer therapy. However, the efficiency of EPR-targeted nanodrugs is not always pleasing as it is strongly prejudiced by the heterogeneity of the enhanced permeability and retention effect (EPR). Targeting the dynamics of the EPR effect and improvement of the therapeutic effects of nanotherapeutics by using EPR enhancers is a vital approach to developing cancer therapy. Inadequate data on the efficacy of EPR in humans hampers the clinical translation of cancer drugs. Molecular targeting, physical amendment, or physiological renovation of the tumor microenvironment (TME) are crucial approaches for improving the EPR effect. Advanced imaging technologies for the visualization of EPR-induced nanomedicine distribution in tumors, and the use of better animal models, are necessary to enhance the EPR effect. This review discusses strategies to enhance EPR effect-based drug delivery approaches for cancer therapy and imaging technologies for the diagnosis of EPR effects. The effort of studying the EPR effect is beneficial, as some of the advanced nanomedicine-based EPR-enhancing approaches are currently undergoing clinical trials, which may be helpful to improve EPR-induced drug delivery and translation to clinics.

An increase in energy consumption indicates increased economic activity; whether it leads to prosperity depends on the sustainability and stability of the energy source. This study has selected the top ten highly carbon emitting countries to assess renewable energy consumption dynamics for 1991 to 2018. The development of renewable energy ventures is not an overnight transformation. Further, it also entails an infrastructure development gestation which may increase CO2 emissions for the short term. To assess this non-linear pattern with CO2 and its heterogeneities, renewable energy consumption and its three types (Wind, Solar and Hydropower) are used. The empirical results estimated with a pooled mean group (PMG) method indicate that renewable energy consumption and hydropower follows inverted U-shaped behavior, with wind and solar energy consumption behavior also U-shaped. Forest area and patents are responsible for carbon remissions, while economic growth is responsible for increasing carbon emissions in sampled countries.

Abstract Yield is influenced by the length of the growing season, which is affected by weather conditions and management practices of a crop, including sowing dates and shifting of cultivars. It is necessary to understand the effects of agronomic management practices and weather variables on phenological stages and crop phases in order to develop strategies for adaptation of agricultural systems to changes in climatic conditions. The goal of this study was to determine the impact of warming trends on phenology of canola from 1980 to 2014 for central and southern Punjab, Pakistan. Sowing, emergence, anthesis and physiological maturity dates were delayed by an average of 6.02, 3.14, 3.31 and 1.89 days per decade, respectively. The duration of sowing to anthesis, sowing to physiological maturity and anthesis to physiological maturity phases decreased an average 2.71, 4.13 and 1.42 days per decade, respectively, for all 10 locations that were analysed in this study. The sowing, emergence, anthesis and physiological maturity dates were positively correlated with an increase in temperature by an average 2.71, 1.41, 1.49 and 0.85 days per °C, respectively. However, the phenological phases such as sowing to anthesis, anthesis to maturity and sowing to maturity were negatively correlated with an increase in temperature by an average of 1.22, 0.64 and 1.86 days per °C, respectively, for all 10 locations. Applying a process‐based CSM‐CROPGRO‐Canola model using a standard cultivar (field tested) for all locations and years indicated that the simulated phenological stages occurred earlier due to the warming trend compared to the observed phenological stages. One‐quarter of the negative effects of this thermal trend was compensated by growing new cultivars that had higher thermal time requirements. Therefore, new canola genotypes with a higher number of growing degree day requirement and high temperature tolerance should be a priority for evolving new cultivars.

Information regarding the germination and seedling growth behavior of a potential weed species is an important tool to manage weeds without the use of agricultural chemicals that cause harmful effects on human health and the environment. A series of experiments were directed to investigate the influence of different environmental factors (temperature, pH, NaCl, moisture stress, and seed burial depth) on germination and seedling emergence of perennial ryegrass (Lolium perenne L.) under controlled conditions. Results suggested that 25 °C is the optimum temperature for maximum germination (95%) and seedling growth of perennial ryegrass, however, a quick decline was observed at 35 °C. Seed germination was unaffected by pH levels ranging from 5 to 10. The 92% seed germination was recorded where no salt stress was applied and germination was reduced by 87% at 250 mMNaCl concentration. Seed germination was unaffected by osmotic potential ranges from 0 to - 0.4 MPa thereafter declined and completely inhibited at - 0.8 or - 1.0 MPa. No seed emerged at the soil surface or a soil depth of 6 or 7 cm and 90% emergence occurred at 1 cmsoil depth. The germination and seedlings parameters like time to initial germination, mean germination time, time taken to 50% germination and germination index, root and shoot length, and fresh and dry weight of root and shoot are significantly affected with the environmental factors. The information obtained in this study will be helpful to develop better management strategies for germination and the emergence of perennial ryegrass in areas where it has the ability to rapidly colonize.

Located at the foothills of the Himalayan Mountains, subtropical and moist temperate forests of Pakistan are very rich in flora and fauna. However, due to increased illegal and uncontrolled harvesting of wood, agricultural activities, and urbanization, these forests are fast disappearing. The recent expansion of human activities resulting illegal and uncontrolled harvesting, agricultural activities, and urbanization is a cause for concern. Using Landsat imagery, Markov Chain and Cellular Automata, this study focused on the quantitative assessment of spatiotemporal land use and land cover changes during 1998, 2008, 2018 and a simulation of 2028. In addition, a forest inventory survey of biomass and carbon sink were respectively calculated for these subtropical broad-leaved evergreen, subtropical chirpine and moist temperate forests. Results showed biomass was 560.56 ± 104.33 Mg ha−1, 350.95 ± 104.33 Mg ha−1 and 153.63 ± 104.33 Mg ha−1 in moist temperate, subtropical chirpine and subtropical broad-leaved forests respectively. Meanwhile, carbon was 313.94 ± 44.78 Mg C ha−1, 221.34 ± 44.78 Mg C ha−1 and 131.77 ± 44.78 Mg C ha−1 in moist temperate, subtropical chirpine and subtropical broad-leaved forests respectively. During the study period, land-use and land cover changes showed forest land changed from 40936.77 ha to 36709.23 ha, agricultural land from 4220.46 to 10374.64 ha, and built-up area from 1497.60 to 5395.12 ha. The average annual biomass and carbon loss were respectively 50.34 Gg ha−1yr−1 and 31.33 Gg C ha−1 yr−1. The information derived from this study could assist in the development of appropriate sustainable forest management policies in Pakistan. Keywords: Land use change, Biomass, Carbon, Himalayan mountains, Markov chain, Urbanization

Over the last few years, the rapid growth of information and communication technologies (ICT) has contributed to every sector of the economy; however, the environmental consequences of ICT should not be overlooked. In doing so, this research investigated the asymmetric impact of ICT, renewable energy consumption (RENE), economic growth (GDP), financial development (FD), and population (POP) on CO 2 emissions (CE) in the MINT countries over the period from 1990 to 2018. For this purpose, this study used STIRPAT and quantile regression. The preliminary outcomes reject the assumption of data normality; therefore, it is very necessary to use the quantile regression (QR), as the QR technique can deal with structural changes, outliers, and data non-normality. The results of QR indicate that ICT reduce carbon emissions across all the quantiles (1st quantile to 9th quantile). Similarly, RENE impedes the carbon emissions across all (1st–9th) quantiles. On the other hand, FD, GDP, and POP increase the carbon emissions across all the quantiles (1st–9th). These outcomes purposed appropriate policy implications for MINT countries.

The world is facing the observable and direct impacts of climate change in the shape of extreme weather events, irregular precipitation, glacial melt, sea-level rise, an asymmetric average temperature trends, higher oceanic temperatures, damage to natural ecosystems, and biodiversity. In 2015, collective wisdom stirred the global community to agree upon two unprecedented milestones in recent human history—the Paris agreement and sustainable development goals (SDGs). The twin global agreements set a platform for collective efforts to secure socio-economic and climatic sustainability. Pakistan also joined the board to put forth policy interventions for the mitigation and adaption of climate change risks to maintain symmetry between the environmental quality and economic development. The government of Pakistan (GOP) formulated the National Climate Change Policy (NCCP (2012)) and passed the Pakistan Climate Change Act (PCCA (2017)) to provide an impetus for the implementation of the NCCP. Yet, an appropriate assessment and prioritization of the objectives of the NCCP are indispensable for productive and effective policies to achieve the targets. This study serves this purpose by prioritizing the climate change policy objectives (CCPOs) based on symmetric principles, i.e., energy, transport, urban and town planning, industry, and agriculture as criteria, with 17 sub-criteria in total. The fuzzy analytical hierarchy process (AHP) results show that the energy sector is the most pivotal while implementing the NCCP. Energy production is the most critical area that needs mitigation policy intervention for shifting the energy mix of the economy from high-carbon to low-carbon energy. The fuzzy AHP analysis further revealed the railway, population and urbanization, air pollution, crop growing practices and techniques as the most important related to transport, urban planning, industry, and agriculture sub-criteria, respectively. The fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) analysis showed the ranking of the CCPOs from high to low through the integration of policies, institutional capacity building, water security, natural resource management, natural disaster management, environmental financial structure development, and social sector development. The findings of the present research would be helpful for experts and policymakers to re-examine the NCCP and put forth action plans to achieve sustainable climate and SDGs.

BACKGROUND: The prevalence of double burden of malnutrition (DBM) is high in low- and middle-income countries (LMICs). Data on malnutrition trends is present for children <5 years of age, however the data for school-going children and adolescents aged 5-15 years is scarce. OBJECTIVE: This systematic review presents the pooled prevalence of nutritional status and dietary intake among school-going children and adolescents (5-15 years of age) in an LMIC of Pakistan and the perspective for broader global nutrition in this age group. METHODS: An electronic search of databases was run on Pubmed and Medline (via Ovid) along with gray literature and archives of local scientific journals till 2nd January 2021. Studies meeting the eligibility criteria were included and relevant data were extracted, and a pooled proportional analysis was performed. RESULTS: A total of 51 studies including 62,148 children of 5-15 years met the inclusion criteria, of which 30 studies reported on anthropometric indices alone, eight on dietary intake patterns while 13 reported both. All of the included studies had a cross-sectional study design. There were 20 studies from the province of Punjab, 15 from Sindh, eight from Khyber Pakhtoonkhwa, two from Balochistan, and three from multiple cities across Pakistan. The pooled proportional analysis showed that the proportion of underweight children and adolescents was 25.1% (95% CI 17.3-33.7%); stunting 23% (95% CI 11.8-36.7%); wasting 24% (95% CI 15.2-34%); thinness 12.5% (95% CI 9.4-16.1%); overweight 11.4% (95% CI 7.2-16.3%); and obesity 6.9% (95% CI 3-12%). A relatively high intake of carbohydrates, soft drinks, and sweets/chocolates; and a low intake of protein-rich foods, fruits, and vegetables, compared to the recommended daily allowance (RDA), was reported. CONCLUSION: The limited data suggests the presence of DBM amongst children aged 5-15 years and also identified that dietary intake patterns are not meeting the recommended allowance. This review highlights the gaps and the need for larger, well-designed studies for this age group with the representation of different contexts and the need for similar studies in various LMICs, so that appropriate actions be deliberated and appropriate programs should be designed focusing on this vital population.

As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according to this study. The research uses case studies and best practices to show how AI-driven innovations can minimize environmental impact, enhance energy efficiency, and customize learning, creating a more sustainable and inclusive academic environment. The document discusses AI ethics, including data privacy, algorithmic prejudice, and the digital divide. It emphasizes the need for strong ethical frameworks to use AI ethically and make decisions with transparency and fairness. The study also emphasizes the need for robust institutional rules and infrastructure to promote ethical AI integration, protecting student privacy and supporting fair access to AI technologies. The research also shows how AI-driven curriculum-building tools can educate students for future sustainability concerns and stimulate research innovation. The prospects and difficulties of AI in higher education are critically examined, including its potential to change traditional educational roles, improve academic performance, and maintain institutional profitability. Actionable recommendations for educators, politicians, and institutional leaders contribute to the education sustainability conversation. Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world.