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Objective: Moringa oleifera Lam. (Moringaceae), has traditionally been used for various renal diseases including urolithiasis. Considering the therapeutic and nutritional values, the present study was designed to investigate the antiurolithiatic potential of M. oleifera leaves through in-vitro , in-silico and in-vivo approaches. Methods: Methanolic aqueous extract of M. oleifera . leaves (MoL.Cr) was prepared and screened for phytoconstituents through FTIR and HPLC analysis, while antioxidant potential was determined by DPPH assay. Crystal nucleation, aggregation and growth assays were carried out to ascertain the in-vitro inhibitory effects of MoL.Cr. Molecular docking was performed to analyze the interactions between phytoconstituents and targeted proteins (Glycolate oxidase, Albumin and Tamm-Horsfall). Whereas, ethylene glycol-induced urolithiasis model (1% ammonium chloride +0.75% ethylene glycol) was used for in-vivo study. Presence of alkaloids, phenols, glycosides and flavonoids was confirmed by FTIR and HPLC analysis. Results: MoL.Cr significantly inhibited the CaOx crystal nucleation, aggregation as well as growth and normalized urinary and serum parameters. Histological studies showed that MoL.Cr significantly restored hyperoxaluria-induced irregular epithelial lining, interstitial inflammation and dilated proximal tubules. Conclusions: Thus, M. oleifera demonstrated marked stone inhibiting potential which can be due to its antioxidant, lowering of urinary concentration of stone forming constituents and anti-crystallization effects.

ABSTRACT Isw2 proteins, ubiquitous across eukaryotes, exhibit a propensity for DNA binding and exert dynamic influences on local chromosome condensation in an ATP-dependent fashion, thereby modulating the accessibility of neighboring genes to transcriptional machinery. Here, we report the deletion of a putative MoISW2 gene, yielding substantial ramifications on plant pathogenicity. Subsequent gene complementation and chromatin immunoprecipitation sequencing (ChIP-seq) analyses were conducted to delineate binding sites. RNA sequencing (RNA-seq) assays revealed discernible impacts on global gene regulation along chromosomes in both mutant and wild-type strains, with comparative analyses against 55 external RNA-seq data sets corroborating these findings. Notably, MoIsw2-mediated binding and activities delineate genomic loci characterized by pronounced gene expression variability proximal to MoIsw2 binding sites, juxtaposed with comparatively stable expression in surrounding regions. The contingent genes influenced by MoIsw2 activity predominantly encompass niche-determinant genes, including those encoding secreted proteins, secondary metabolites, and stress-responsive elements, alongside avirulence genes. Furthermore, our investigations unveil a spatial correlation between MoIsw2 binding motifs and known transposable elements (TEs), suggesting a potential interplay wherein TE transposition at these loci could modulate the transcriptional landscape of Magnaporthe oryzae in a strain-specific manner. Collectively, these findings position MoIsw2 as a plausible master regulator orchestrating the delicate equilibrium between genes vital for biomass proliferation, akin to housekeeping genes, and niche-specific determinants crucial for ecological adaptability. Stress-induced TE transposition, in conjunction with MoIsw2 activity, emerges as a putative mechanism fostering enhanced mutagenesis and accelerated evolution of niche-determinant genes relative to housekeeping counterparts.IMPORTANCEIsw2 proteins are conserved in plants, fungi, animals, and other eukaryotes. We show that a fungal Isw2 protein in the rice pathogen Magnaporthe oryzae binds to retrotransposon (RT) DNA motifs and affects the epigenetic gene expression landscape of the fungal genome. Mainly ecological niche determinant genes close to the binding motifs are affected. RT elements occur frequently in DNA between genes in most organisms. They move place and multiply in the genome, especially under physiological stress. We further discuss the Isw2 and RT combined activities as a possible sought-after mechanism that can cause biased mutation rates and faster evolution of genes necessary for reacting to abiotic and biotic challenges. The most important biotic challenges for plant pathogens are the ones from the host plants’ innate immunity. The overall result of these combined activities will be an adaptation-directed evolution of niche-determinant genes.

Background: Measles has been a significant public health concern in Pakistan, especially in the Khyber Pakhtunkhwa (KPK) province, where sporadic and silent epidemics continue to challenge existing control measures. This study aimed to estimate the prevalence and investigate the molecular epidemiology of the measles virus (MeV) in KPK and explore the vaccination status among the suspected individuals. Methods: A cross-sectional study was conducted between February and October 2021. A total of 336 suspected measles cases from the study population were analyzed for IgM antibodies using Enzyme-Linked Immunosorbent Assay (ELISA). Throat swabs were randomly collected from a subset of positive cases for molecular analysis. Phylogenetic analysis of MeV isolates was performed using the neighbor-joining method. The vaccination status of individuals was also recorded. Results: Among the suspected participants, 61.0% (205/336) were ELISA positive for IgM antibodies, with a higher prevalence in males (64.17%) compared to females (57.04%). The majority of cases (36.0%) were observed in infants and toddlers, consistent with previous reports. The majority of IgM-positive cases (71.7%) had not received any dose of measles vaccine, highlighting gaps in vaccine coverage and the need for improved immunization programs. Genetic analysis revealed that all MeV isolates belonged to the B3 genotype, with minor genetic variations from previously reported variants in the region. Conclusion: This study provides valuable insights into the genetic epidemiology of the MeV in KPK, Pakistan. The high incidence of measles infection among unvaccinated individuals highlights the urgency of raising awareness about vaccine importance and strengthening routine immunization programs.

Abstract Cavernomas or cavernous malformations of the central nervous system are acquired or hereditary vascular anomalies. Although they are present in 0.1–0.5% in the general population, they are usually asymptomatic and undetected until symptoms occur. We report a case of a healthy young adult, who presented with acute onset of dizziness, and intermittent episodes of loss of consciousness. MRI brain was suggestive of right insular cortex and right basal ganglia cavernoma. The patient later on developed seizures in the form of automatisms (continuous lip smacking). Surgical removal of the cavernoma was planned as in this case it was present in an eloquent area causing seizures. Seizure producing brain mapping and intraoperative electrocorticography was also performed which is rare in the region and offered by only few centres. The surgical resection of cavernoma was successfully performed, and patient reported improvement in symptoms during subsequent follow-ups.

This study delves into the critical need for generating real-world compatible data to support the application of deep reinforcement learning (DRL) in vehicle routing. Despite the advancements in DRL algorithms, their practical implementation in vehicle routing is hindered by the scarcity of appropriate real-world datasets. Existing methodologies often rely on simplistic distance metrics, failing to accurately capture the complexities inherent in real-world routing scenarios. To address this challenge, we present a novel approach for generating real-world compatible data tailored explicitly for DRL-based vehicle routing models. Our methodology centers on the development of a spatial data extraction and curation tool adept at extracting geocoded locations from diverse urban environments, encompassing both planned and unplanned areas. Leveraging advanced techniques, the tool refines location data, accounting for unique characteristics of urban environments. Furthermore, it integrates specialized distance metrics and location demands to construct vehicle routing graphs that represent real-world conditions. Through comprehensive experimentation on varied real-world testbeds, our approach showcases its efficacy in producing datasets closely aligned with the requirements of DRL-based vehicle routing models. It's worth mentioning that this dataset is structured as a graph containing location, distance, and demand information, with each graph stored independently to facilitate efficient access and manipulation. The findings underscore the adaptability and reliability of our methodology in tackling the intricacies of real-world routing challenges. This research marks a significant stride towards enabling the practical application of DRL techniques in addressing real-world vehicle routing problems.

The current review is informed about the effectiveness of plant-derived functional components that aids in the regulation and health of endocrine glands. The endocrine glands include the thyroid, adrenal, hypothalamus, pituitary and pineal, ovaries and testes that play vital functions in our body such as growth and development, metabolism, mood and reproduction controlled by hormones. The abnormalities in the functions of endocrine glands are formed various disorders, some major disorders are diabetes, goiter, kidney problem, brain-related diseases and PCOS. Different parts of plant-based foods (fruits, vegetables, cereals, beans, legumes, herbs and spices) are composed of vitamins, minerals, antioxidants and phenolic compounds that help support different body functions. It is concluded that plant-based foods are a rich source of functional components that play a valuable role in regulating the function of the endocrine glands.

Peanut (Arachis hypogaea L.) harbors a plethora of flavonoids that impart its health-promoting properties. To understand its biosynthesis and accumulation, a comparative expression analysis of flavonoid biosynthetic genes encoding enzymes responsible for synthesizing the main structure of flavonoids has been conducted in two differentially performing peanut varieties (PG 1247 and Bari 2011) in response to photoperiod and water availability. Transcript profiling of flavonoid biosynthetic genes indicated time-dependent expression of genes except for AhFLS in selected varieties in response to photoperiod variation. Many genes depicted a low degree of variation within varieties and water-deficient treatments. However, AhANS showed the highest variation for stress duration and varieties. In conclusion, this study has characterized the role of flavonoid biosynthesis in peanuts in response to photoperiod and water availability. Moreover, correlation analysis unraveled the coordination among the expression of flavonoid biosynthetic genes.

The study was designed to investigate the pharmacological potential of 70%methanolic extract of Vigna mungo for the management of hyperthyroidism and estrus cycle disturbances in female rats. The preliminary phytochemical analysis of the extract was performed. Hyperthyroidism was induced by administering levothyroxine (600 µg/kg; orally) for 14 days. Phytochemical analysis of the extract showed the presence of alkaloids, flavonoids, phenols, saponins, fats, and oils. The extract (300, 500, and 1,000 mg/kg; orally) and carbimazole (30 mg/kg; orally) were administered individually for the next 14 days. The extract showed dose-dependent antithyroid potential, as evidenced by the decrease in T3 and T4, and the increase in TSH levels. Body weight, body temperature, fasting blood glucose levels, and prolonged diestrus phase were reversed towards normal and significant effects on the morphology of the thyroid gland and ovary of the rats were observed. Therefore, the findings reveal that V. mungo has the potential to treat experimentally-induced hyperthyroidism and estrus cycle disturbances.

Molecular mechanisms underlying adaptation to the environments are still challenging in evolutionary biology. This study conducted a comparative analysis of tyrosine protein across different mammalian species to gain insight into the molecular mechanisms of adaptive evolution in response to oxidative stress. By examining tyrosine protein's structural and evolutionary patterns, the study identified specific amino acid residues that may have played a role in adaptive evolution in response to oxidative stress. We examined this protein's structural and evolutionary patterns and identified specific amino acid residues that may have played a role in adaptive evolution. Our results suggest that changes in the tyrosine protein may have contributed to the evolution of antioxidant defense mechanisms in mammals. We also reconstructed the evolutionary history of tyrosine protein in mammals and identified key events and lineages that may have contributed to the observed patterns of adaptation. These findings provide valuable insights into the molecular mechanisms that underlie adaptive evolution in response to environmental stressors and highlight the importance of the tyrosine protein in the evolution of antioxidant defense systems in mammals. The results suggest that changes in the tyrosine protein may have contributed to the evolution of antioxidant defense mechanisms in mammals. These findings provide a deeper understanding of the molecular mechanisms that underlie adaptive evolution in response to environmental stressors.

The essential purpose of this research is to investigate the relationship between foreign assistance and economic growth. It also analyzes the role corruption might play in influencing this relationship in aid-recipient countries that have similar real gross domestic product (GDP) per capita, but different development patterns. An analysis is performed on specific samples from 2000 to 2019. The model is split into three sections for this purpose: i.e., all developing economies, sub-Saharan Africa (SSA), and the most corrupt countries from regions other than SSA. The difference generalized method of moments (GMM) panel framework is used for empirical analysis. The study concludes that foreign aid does not result in encouraging and significant changes in overall economic growth in developing economies. By contrast, corruption has a powerful impact on foreign aid effectiveness. It is also observed from the analysis that SSA economies receive high levels of foreign assistance, but still cannot extract maximum benefit due to various economic and social problems. Furthermore, foreign assistance effectiveness is almost insignificant in most corrupt economies from other regions.

Understanding the genetic diversity of domestic chicken breeds under the impact of socio–cultural and ecological dynamics is vital for the conservation of natural resources. Mae Hong Son chicken is a local breed of North Thai domestic chicken widely distributed in Mae Hong Son Province, Thailand; however, its genetic characterization, origin, and diversity remain poorly understood. Here, we studied the socio–cultural, environmental, and genetic aspects of the Mae Hong Son chicken breed and investigated its diversity and allelic gene pool. We genotyped 28 microsatellite markers and analyzed mitochondrial D-loop sequencing data to evaluate genetic diversity and assessed spatial habitat suitability using maximum entropy modeling. Sequence diversity analysis revealed a total of 188 genotyped alleles, with overall nucleotide diversity of 0.014 ± 0.007, indicating that the Mae Hong Son chicken population is genetically highly diverse, with 35 (M1–M35) haplotypes clustered into haplogroups A, B, E, and F, mostly in the North ecotype. Allelic gene pool patterns showed a unique DNA fingerprint of the Mae Hong Son chicken, as compared to other breeds and red junglefowl. A genetic introgression of some parts of the gene pool of red junglefowl and other indigenous breeds was identified in the Mae Hong Son chicken, supporting the hypothesis of the origin of the Mae Hong Son chicken. During domestication in the past 200–300 years after the crossing of indigenous chickens and red junglefowl, the Mae Hong Son chicken has adapted to the highland environment and played a significant socio–cultural role in the Northern Thai community. The unique genetic fingerprint of the Mae Hong Son chicken, retaining a high level of genetic variability that includes a dynamic demographic and domestication history, as well as a range of ecological factors, might reshape the adaptation of this breed under selective pressure.

Drought stress has been shown to have harmful effects on crop productivity worldwide, including in Pakistan, due to rapid climate change scenarios. Extensive work has been reported on the influential role of melatonin (MEL) in either foliar or seed-primed applications; however, its role in root application is seldom reported. We investigated plant biochemical responses, including anti-oxidants, plant pigments, leaf water characteristics, and maize crop production, with MEL treatment under mild and severe drought stress. Maize Cvar. Jalal was subjected to drought stress (60% and 80% of full irrigation) at the four-leaf stage, and MEL was applied as pretreatment with irrigation water at different doses (0, 100, and 200µM). The findings of the study revealed that the Chl a, b, and a + b contents and the carotenoid content significantly increased with MEL application during severe and mild drought stress. After applying 200 µM MEL, leaf water attributes, comprising relative water content (RWC), leaf water content (LWC), and relative saturation deficit (RSD), increased by 1.9%, 100%, and 71.2%, respectively, during mild drought and 17%, 133%, and 32% under severe drought. The anti-oxidant activities of POD, CAT, and APX were remarkably enhanced with MEL during drought stress. Our results showed that root application of 200 µM melatonin boosted seed yield and water productivity by 31% and 38%, and plant biomass increased by 32% and 29% under mild and severe drought stressors compared to plants with no MEL, leading to increased drought tolerance.

The readers of Urdu literature need not to be introduced to the name of Abdullah Hussain.The characters of his short stories are some of unforgettable ones in Urdu on the basis of their uniqueness. Though much critical work on him has been done in many aspects, we, in this essay, have analyzed various colors of exile and migration in his short stories.

The current study was conducted to explore emotional climate, work stress and occupational cognitive failure among doctors. The sample of 150 doctors was selected from two cities i.e. Jhang and Faisalabad. Emotional climate was measured by Emotional climate scale by Yurtsever& De Rivera (2010), for work stress, Work Place Stress Scale by American institute of stress and adapted by Fatima Chohan (2013) was used. Occupational Cognitive Failure was measured by occupational cognitive failure questionnaire by Allahyari, Rangi, Khosravi and Zayeri (2011). The data was analyzed by administering t-test, correlation and regression analysis. Results revealed that Emotional climate, work stress and cognitive failure are significantly positively correlated. No significant difference between male and female, rural and urban, government and private doctors on the level of emotional climate, work stress and occupational cognitive failure was found. Significant difference between nuclear and joint family doctors on the level of work stress was found. Doctors from nuclear family system showed higher level of work stress as compared to Joint family doctors. Emotional climate, work stress and demographic variables are predictors which collectively and significantly contributed to occupational cognitive failure.

In nature, fungal endophytes often have facultative endohyphal bacteria (FEB). Can a model plant pathogenic fungus have them, and does it affect their phenotype? We constructed a growth system/microcosm to allow an F. graminearum isolate to grow through natural soil and then re-isolated it on a gentamicin-containing medium, allowing endohyphal growth of bacteria while killing other bacteria. F. graminearum PH-1 labelled with a His1mCherry gene staining the fungal nuclei fluorescent red was used to confirm the re-isolation of the fungus. Most new re-isolates contained about 10 16SrRNA genes per fungal mCherry gene determined by qPCR. The F. graminearum + FEB holobiont isolates containing the bacteria were sub-cultured several times, and their bacterial contents were stable. Sequencing the bacterial 16SrRNA gene from several Fg-FEB holobiont isolates revealed endophytic bacteria known to be capable of nitrogen fixation. We tested the pathogenicity of one common Fg-FEB holobiont association, F. graminearum + Stenatrophomonas maltophilia, and found increased pathogenicity. The 16SrRNA gene load per fungal His1mCherry gene inside the wheat stayed the same as previously found in vitro. Finally, strong evidence was found for Fg-S. maltophilia symbiotic nitrogen fixation benefitting the fungus.

This study addresses the linkage between the gross domestic product and infrastructure in Pakistan. The time frame taken for this study is from 1977-2019. The information utilized in this study is taken from reliable sources; World Bank. ARDL method is utilized in this study with the assistance of E-VIEWS 10 programming. To consider the effect of infrastructure on GDP; the factors are utilized, for example, gross fixed capital formation, health expenditures, total generation age of power, life expectancy, and government expenditure on education. These factors are utilized as the intermediary of the framework. Gross Domestic Product is taken as the dependent variable while net fixed capital arrangement, health consumption, complete age of power, future, and government uses on schooling are taken as autonomous factors in this paper. The consequences of this study show that the gross fixed capital formation, wellbeing consumption, and workforce have a positive connection to GDP. Then again, the total generation of electricity and government expenditures on schooling adversely affect the economy of Pakistan. The infrastructure is one of the principals and fundamental variables for the improvement of the economy of Pakistan. The helpless state of infrastructure in Pakistan is probably the greatest deterrent in the advancement of the country. The public authority should zero in on the upgrading of the approaches in regards to the infrastructure area, for instance; enhancements in the health sector, progression in the energy area, abilities advancement preparing places for the workforce, and upgrades in the schooling area. All the previously mentioned steps can assist with improving economic development through infrastructural improvement.

Purpose: The research aims to build a suitable model for the conditional mean and conditional variance for forecasting the rate of inflation in Pakistan by summarizing the properties of the series and characterizing its salient features. Design/Methodology/Approach: For this purpose, Pakistan’s Inflation Rate is based upon the Consumer Price Index (CPI), ranging from January 1962 to December 2019 has been analyzed. Augmented Dickey Fuller (ADF) test that was used for testing the stationarity of the series. The ARIMA modeling technique is a conditional mean and GARCH model for conditional variance. Models are selected on AIC and BIC model selection criteria. The estimating and forecasting ability of three ARIMA models with the GARCH (2,2) model has been compared to capture the possible nonlinearity present in the data. To depict the possible asymmetric effect in the conditional variance, two asymmetric GARCH models, EGARCH and TGARCH models have been applied. Findings: Based on statistical loss functions, GARCH (2,2) model is the best variance model for this series. The empirical results reveal that the performance of model-2 is best for all the three variance models. However, the GARCH model is the best as the variance model for this series. This shows that the asymmetric effect invariance is not so important for the rate of inflation in Pakistan. Implications/Originality/Value: The current study was based on the least considered variables and the pioneer in testing the complex relationship through the ARIMA model with GARCH innovation.

Purpose: This research focuses on how the currently occurring conflicts in Pakistan are leading to violent acts which in turn affect the society and the economy of the country. Conflicts and violence are becoming a colossal menace for developing countries such as Pakistan and Afghanistan. Design/Methodology/Approach: Moreover, the research has examined, using the tools of comparative analysis, how conflicts and violence affect the economy and society. Findings: The results suggest that conflicts and violence have rendered serious Socio-economic consequences. Conflicts and violence destroy assets, institutions and brutely disturb the social setup of the country by disturbing the socio-economic progress of the nation. Pakistan has been a victim of conflicts and violence since the day of its independence. Whether it is the migration of refugees in 1947, Pak Indo war of 1965, East Pakistan separation in 1971, post 9/11 war on terrorism, Lal Masjid attack in 2008, PNS Mehran terrorist attack in 2011, or the Peshawar Army Public School attack in 2015, Pakistan has suffered great losses both socially and economically. Implications/Originality/Value: The study has contributed towards better understanding of how conflice and violence has affected the socio-economic structure of Pakistan. Acid attacks, violence against women, child abuse, ethnic polarization, Islamic sectarianism, intolerance, and honor killings are a few of the many heinous acts that have not only affected each member of the society in Pakistan but have also proven to be a threat to each sector of its economy.

Purpose: This research examines the effectiveness of foreign aid on Pakistan’s economic growth. The foreign aid efficiency is still under question. Some researches show positive affiliation of foreign aid with economic growth while some show negative affiliation. If foreign aid is not replacing or used as a substitute for domestic savings then foreign aid is useful for growth. To fill the two gaps of the economy the Two-Gap theory suggest that poor nations have to depend on overseas funds. Those two gaps are the Savings-Investment Gap and Import-Export Gap. There’re many kinds of international funds. Like foreign loans, development and non-development aid, FDI, and technological help. But underdeveloped nations like Pakistan have not a favorable speculation policy. Therefore, these nations are dependent on international aid and balance quite than foreign direct investment. Design/Methodology/Approach: For the analysis of this study the time era used is 1974 to 2016. The GDP is the dependent variable. Independent variables are population growth, foreign aid, inflation, foreign direct investment (FDI), and domestic savings. The annual data is collected from different sources. The technique for analysis is OLS and ARDL bound testing. Findings: Concluding remarks show that in Pakistan foreign aid affects economic growth negatively. Implications/Originality/Value: The current study was based on the least considered variables and the pioneer in testing the complex relationship through OLS and ARDL estimation.

This study reported the returns to Human Capital in Pakistan. The main purpose of this study is to estimate the returns to human capital. In Pakistan, the level of output is dependent on manpower. Human Capital is a significant contributor in the way to betterment in the economic condition. In this study, time series data is used, and co-integration is applied for the empirical estimation. Gross Domestic Product (GDP), education, mortality, enrolment, unemployment, and age are the core variables of the research. Education has a positive impact on productivity. An increase in education level raises the female labor force participation in Pakistan. The presence of children decreases the early age participation in the labor market. The result shows that when the education level is increased, it boosts the economic activity, and the female labor force participation is the main reason that is increasing its likelihood. It is recommended that government should provide better facilities of education to enhance the female force participation in the labor market in the case of developing countries, by providing the best grades and tasks to the human beings both male and female, thus the level of returns by human capital utilization may increase.

E-shopping is a rapidly growing phenomenon among different individuals who intend to shop online. However, a trust deficit in the E-shopping environment has always been a critical issue in the brick-and-click mode of shopping, being one of the main reasons for E-cart abandonment in E-commerce. This empirical study is aimed at investigating the perceived effect of website trust on E-shopping intentions and behaviour, drawing upon the theory of planned behaviour (TPB). Data were collected through self-administered questionnaires from working adults who shop for garments online. Structural equation modelling was used to evaluate the model fit and assumptions. Our findings suggest that website trust and E-shopping attitude play substantial roles in building E-shopping intentions and actual behaviours. Both are the significant predictors of the behaviour mediated by E-shopping intentions. However, E-shopping intentions did not mediate between subjective norms and E-shopping behaviour, when working adults decide to purchase garments online.

The textile industry is production-intensive and incorporates diverse transactions made by multiple suppliers, corporate buyers, and supply chain members. In the business-to-business context, the cost for attracting a new customer is notably much higher than that needed to retain a present one. Customer loyalty in terms of customer repurchase intention has, therefore, been considered as a key determinant for textile companies to improve their efficiency and competitive advantage. This study aims to investigate the business-to-business repurchase intentions of Pakistan textile and clothing industry customers. The study framework specifically consolidates the mutual dynamics of appealing (service quality), facilitating (product returns), and averting (switching costs) factors altogether and the effect of these variables on customer satisfaction and thus on customer retention (repurchase intent) in the textile’s transactional scenario. A sample survey method is used for this study. The data collected through self-administered questionnaires (n = 325) from All Pakistan Textile Mills Association enlisted the employees of the companies. The structural equational modeling technique was applied to examine the study hypotheses. The findings contended that service quality and switching costs are essential determinants that shape the repurchase intentions. Therefore, product returns do not contribute toward customer satisfaction and also do not shape the intentions of business-to-business customers to repurchase from the same supplier after having even a good product return experience in past.

Rate of exchange is a significant monetary variable that control balance of trade. J curve theory explains that depreciation in domestic currency wills sure that foreign goods costly for the domestic persons and domestic goods are inexpensive for the other country. In this result, imports will reduce and exports will rises. Therefore, trade balance would be improved. This theory proved that J curve have no exist in Pakistan because imports of Pakistan contains a large numbers of necessities and this imports present no movement in exchange rate. Therefore, rate of exchange and balance of trade both have negative relationship. Debt and GDP have positive related with each other because Government of Pakistan takes the debt to promote the economic growth. This study opens new perspectives for the decision makers.

Abstract Background An efficient transformation protocol is a primary requisite to study and utilize the genetic potential of any plant species. A quick transformation system is also crucial for the functional analysis of genes along with the study of proteins and their interactions in vivo. Presently, however, quick and effective transformation systems are still lacking for many plant species including pineapple. This has limited the full exploration of the genetic repository of pineapple as well as the study of its genes, protein localization and protein interactions. Results To address the above limitations, we have developed an efficient system for protoplast isolation and subcellular localization of desired proteins using pineapple plants derived from tissue culture. A cocktail of 1.5% (W/V) Cellulase R-10 and 0.5% (W/V) Macerozyme R-10 resulted in 51% viable protoplasts with 3 h digestion. Compared to previously reported protocols, our protoplast isolation method is markedly faster (saving 4.5 h), requires only a small quantity of tissue sample (1 g of leaves) and has high yield (6.5 × 105). The quality of the isolated protoplasts was verified using organelle localization in protoplasts with different organelle markers. Additionally, colocalization analysis of two pineapple Mg2+ transporter genes in pineapple protoplasts was consistent with the results in a tobacco transient expression system, confirming that the protoplast isolation method can be used to study subcellular localization. Further findings showed that the system is also suitable for protein–protein interaction studies. Conclusion Based on our findings, the presently described method is an efficient and effective strategy for pineapple protoplast isolation and transformation; it is convenient and time saving and provides a greater platform for transformation studies.

The current study presents the application of fluorescence spectroscopy for the identification of cow and buffalo milk based on β-carotene and vitamin-A which is of prime importance from the nutritional point of view. All samples were collected from healthy animals of different breeds at the time of lactation in the vicinity of Islamabad, Pakistan. Cow and buffalo milk shows differences at fluorescence emission appeared at band position 382 nm, 440 nm, 505 nm and 525 nm both in classical geometry (right angle) setup as well as front face fluorescence setup. In front face fluorescence geometry, synchronous fluorescence emission shows clear differences at 410 nm and 440 nm between the milk samples of both these species. These fluorescence emissions correspond to fats, vitamin-A and β-carotene. Principal Component Analysis (PCA) further highlighted these differences by showing clear separation between the two data sets on the basis of features obtained from their fluorescence emission spectra. These results indicate that classical geometry (fixed excitation wavelength) as well as front face (synchronous fluorescence emission) of cow and buffalo milk nutrients could be used as fingerprint from identification point of view. This same approach can effectively be used for the determination of adulterants in the milk and other dairy products.

Gene expression is regulated by transcription factors, which play many significant developmental processes. SQUAMOSA promoter-binding proteins (SBP) perform a variety of regulatory functions in leaf, flower, and fruit development, plant architecture, and sporogenesis. 16 SBP genes were identified in pineapple and were divided into four groups on basis of phylogenetic analysis. Five paralogs in pineapple for SBP genes were identified with Ka/Ks ratio varied from 0.20 for AcSBP14 and AcSBP15 to 0.36 for AcSBP6 and AcSBP16, respectively. 16 SBP genes were located on 12 chromosomes out of 25 pineapple chromosomes with highly conserved protein sequence structures. The isoionic points of SBP ranged from 6.05 to 9.57, while molecular weight varied from 22.7 to 121.9 kD. Expression profiles of SBP genes revealed that AcSBP7 and AcSBP15 (leaf), AcSBP13, AcSBP12, AcSBP8, AcSBP16, AcSBP9, and AcSBP11 (sepal), AcSBP6, AcSBP4, and AcSBP10 (stamen), AcSBP14, AcSBP1, and AcSBP5 (fruit) while the rest of genes showed low expression in studied tissues. Four genes, that is, AcSBP11, AcSBP6, AcSBP4, and AcSBP12, were highly expressed at 4°C, while AcSBP16 were upregulated at 45°C. RNA-Seq was validated through qRT-PCR for some genes. Salt stress-induced expression of two genes, that is, AcSBP7 and AcSBP14, while in drought stress, AcSBP12 and AcSBP15 were highly expressed. Our study lays a foundation for further gene function and expression studies of SBP genes in pineapple.

In the original version of this article [1], the spelling of the tenth author name, Moakai Yan, was incorrect. The corrected name is given in this correction article.