Morphology and Chemistry of two Ancient Woods

Wood specimens obtained from rubble ore in iron mines in northern Quebec were shown to be white pine of about 10 million years and probably redwood of about 100 million years. The ancient pine, 0.80 specific gravity, largely retained its structure, but had lost most of its carbohydrate material. Its residual cellulose was amorphous. The lignin was extensively demethylated, and there was evidence of condensed ring structures. In contrast, the older redwood, 1.24 specific gravity, was highly compressed and contained numerous resin beads in the strand and ray parenchyma cells. It consisted almost entirely of lignin, with about two-thirds of the methoxyl content retained, and there was no evidence of coalification

Molecular Epidemiology of Bovine Babesiosis in Punjab, Pakistan

Background: Babesiosis is endemic in Pakistan and is one of the most important bovine diseases that causes huge economic losses and high mortality in young animals. This disease is transmitted by a protozoan parasite babesia which belongs to genus Babesia (Apicomplexa: Piroplasmida: Babesiidae). This disease is very much prevalent in summers followed by rainy season because humid environment is favorable for the growth of these parasites. An epidemiological and molecular study was conducted to unveil the prevalence and associated risk factors of Babesia bigemina (B. bigemina) and Babesia bovis (B. bovis) in selected districts i.e., Faisalabad, Toba Tek Singh and Jhang of Punjab, Pakistan.Materials, Methods & Results: A total of 518 (Cattle = 360, Buffalo = 158) blood samples were collected. The samples were analyzed by polymerase chain reaction (PCR) and nested PCR (n-PCR) targeting apocytochrome b-genes (CYTb). Chi-square test for univariate analysis was used to analyze the data. The overall prevalence in summer based upon microscopic analysis was 20.55% (37/180) and 13.92% (11/79) in cattle and buffaloes respectively and in winter was 8.80% (16/180), 5.06% (4/79)) in cattle and buffaloes respectively. The samples were further analyzed through conventional PCR (c-PCR) and nested PCR (nPCR). The overall results of conventional PCR in summer showed that 72 cows and buffaloes were infected with babesiosis. The conventional PCR based results of summer showed that prevalence of babesiosis was 29.44% (53/180) in cows and 24.05% (19/79) buffaloes. The results of cPCR during the winter season showed that 12.77% (23/180) and 13.92% (11/79) buffaloes were positive for babesiosis. The overall results of conventional PCR in winter showed that 34/259 cows and buffaloes were infected with babesiosis. On the other hand, the nested PCR results of summer season showed that the prevalence of babesiosis in cows was 32.22% (58/180) and 29.11% (23/79) in buffaloes. In total, 81 cows and buffaloes were infected with babesiosis during summer season. The nPCR results of winter showed that 15% (27/180) cows and 20.25% (16/79) buffaloes were infected with babesiosis. In total, 43 cows and buffaloes were infected with babesiosis. The results have shown that sensitivity of n-PCR is more as compared to conventional PCR. This study is the first molecular evidence of B. bigemina and B. bovis and its associated risk factors in Punjab province, Pakistan.Discussion: Dairy sector in Pakistan is one of the fastest growing sectors. Despite of remarkable growth, dairy industry is facing many problems one of them is tick borne diseases (TBDs). TBDs are more prevalent in tropical and subtropical areas of the world and leads to huge economic losses to dairy industry in terms of decreased milk, meat and wool production. Babesiosis is characterized by increased fever, decreased production, poor quality wool, anemia, hemoglobinuria, paleness of mucous membrane. The risk factors analysis of summer and winter data revealed that, adult animals were more prone to babesiosis (24.00%) [P = 0.032] and (8.50%) [P = 0.048]. In both seasons (summer and winter), females were more infected with babesiosis (20.19% and 8.17%) [P = 0.049 and P =0.021] as compared to males, high prevalence in females was might be due to that females were reared for longer period of time. Babesiosis was more occurred in non-cemented floor system (26.01% and 13.51%) [P = 0.028 and P = 0.044] in summer and winter, respectively. Disease was found more prevalent in closed housing system in summer and winter (27.27% and 10.93%) [P = 0.043 and P = 0.034] as compared to open housing. Weak animals were more infected with babesiosis (30.84%) [P = 0.045] and (12.80%) [P = 0.042] in summer and winter, as compared to healthy ones. The animals with high tick infestations were more suffered with babesia infection (25.49% and 13.34%) [P = 0.036 and P = 0.003] in both seasons as compared to less tick burden. Keywords: apocytochrome gene, babesiosis, bovine, nPCR, PCR, season

Babesia bovis in Large Ruminants in Pakistan - Molecular Detection and Haemato-Biochemical Alterations

Background: Babesiosis is endemic in Pakistan and is one of the most important bovine diseases that causes huge economic losses and high mortality in young animals. A hematobiochemical study was conducted to unveil the difference between diseased and healthy animals in selected districts i.e., Faisalabad (31° 25' 7.3740'' N and 73° 4' 44.7924'' E), Toba Tek Singh (30° 58' 9.7392'' N and 72° 27' 40.7484'' E) and Jhang (31° 16' 40.9656'' N and 72° 18' 42.3360'' E) of Punjab, Pakistan. Materials, Methods & Results: A total of 518 (Cattle = 360, Buffalo = 158) blood samples were collected. The samples were analyzed by polymerase chain reaction (PCR) targeting apocytochrome b-gene (Babesia bovis-gene) (CYTb) followed by haemato-biochemical analysis. Chi-square test for univariate analysis was used to analyze the data. In summer the PCR-based prevalence was 29.4 (53/180) and 24.05% (19/79) in cows and buffaloes, respectively. On the other hand, in winter results showed that 12.7 (23/180), 13.92 % (11/79) samples positive for Babesia genus from cows and buffaloes, respectively. The positive samples were further investigated for hematological and biochemical analysis. The results revealed that, the mean value of hematological parameters like RBCs, Hb, PCV, MCV and MCHC was significantly (P < 0.05) decreased in infected animals (cows and buffaloes) as compared to the non-infected ones. While the biochemical parameters like Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), cholesterol and Lactate dehydrogenase were significantly (P < 0.05) increased in infected animals as compared to healthy animals. This study is the first molecular and hematobiochemical evidence of Babesia bovis in dairy herds of Punjab province, Pakistan. Discussion: Bovine babesiosis is one of the important tick-borne diseases (TBD) affecting dairy industry. In bovines, among 3 Babesia species that cause the disease B. bovis is more pathogenic with high mortality and morbidity. Pakistan is situated in tropical and sub-tropical region where the humidity is high in some part of countries. This high humidity mostly favors the reproduction of the ticks thus higher prevalence of TBDs in this region. Initially the babesiosis was diagnosed by light microscopy using thin blood smear stained with Giemsa stain. Many studies verified that PCR is a more specific and sensitive tool than conventional techniques for the detection of carrier / asymptomatic ruminants. The haemato-biochemical profile is another valuable footprint to track the disease. Keeping in view the above-mentioned fact the present project has been planned to evaluate the haemato-biochemical alteration between health and Babesia infected cattle along with the molecular detection of Babesia species involved in bovine babesiosis. The mean values of haemato-biochemical parameters in clinically ill and healthy animals revealed that the mean values of hematological parameters like RBCs, Hb, PCV, and HCT were significantly decreased in diseased animals as compared to the healthy ones. All these might be due the fact that the parasite is intra-erythrocytic in nature and destruction of red blood cells results in significant (P < 0.05) decrease level of all the hematological parameters. The mean value of ALT in babesiosis infected cattle was significantly higher as compared to healthy cattle. The mean values of AST and LDH in babesiosis infected cows was significantly higher as compared to that in healthy cows. The elevation in liver enzymes in babesiosis may be due to the hepatic damage and lesions induced by the parasite during its multiplication in the blood followed by disturbed liver function. These enzymes are present in high concentrations in the muscles and liver. High level of these enzymes in the blood is indicator of organ necrosis or damage. Keywords: bovines, buffaloes, tick-borne diseases, babesiosis, liver enzymes, PCR

Cutaneous Leishmaniasis

Cutaneous leishmaniasis (CL) is a widespread parasitic infection caused by the Leishmania, which is carried by female sandflies. The symptoms include basic ulcer to lethal systemic disease i.e., formation of widely dispersed skin lesions of diverse types. Almost 350 million individuals are at danger and the disease is endemic in more than 98 countries. There are globally 12 million cases, with 2–2.5 million new cases annually. Cutaneous leishmaniasis is considered as critically neglected disease by WHO. Earlier it was difficult to identify the infecting parasite, but modern DNA techniques make it quite simple to identify the Leishmania species, allowing quick treatment decisions. The quick identification of Leishmania is made possible using the PCR method. There is currently no vaccination to prevent leishmaniasis, and pharmacological treatment is frequently ineffectual. There is a need for broad and well-conducted investigations to help its control. Amphotericin B, pentamidine isethionate, paromomycin, and antifungals are some of the drugs recommended for treatment. By organising direct, in-person training, which is a crucial step in improving attitudes and preventative actions toward CL and its control in endemic areas, it is necessary to underline the significance and necessity of teaching this at-risk population

Cutaneous Candidiasis

Cutaneous candidiasis is a multipicture infection of the skin, generally caused by yeast like fungus c.albicans or other species of genus candida such as candida parapsilosis, candida tropicalis, candida glabrata but these species are unusual, secondary to skin diseases. Candida is flora of gut microbiota, rather than skin, although it is present on skin at some instances. Certain factor of candida species such as ability to evade host defense by biofilm formation, filamentous form and presence of tissue damaging enzyme phospholipase are attributed to pathogenicity. Cutaneous candida infection may occur in patient HIV/AIDS, cancer receiving chemotherapy, antibiotics, steroids therapy and in organ transplantation. Vesicles, pustules, maceration and fissuring are common symptoms on perineum, axilla and interriginous areas. Systemic and topical therapies are common treatment with different drugs. Single drug therapy as combination of anti-fungal, antibacterial and topical corticosteroid has marvelous results. Nystatin, Clotrimaziole and miconazole are efficiently reviewed topical drugs with 73–100% cure

ANTIVIRAL EFFECTS OF GREEN TEA (Camellia sinensis) AGAINST PATHOGENIC VIRUSES OF HUMAN AND ANIMALS (A MINIREVIEW)

Background: Tea is the second most addictive worldwide after formulations containing caffeine in carbonated beverage. Green tea is made from leaves of the Camellia sinensis plant. In the repertoire of traditional Chinese medicine, green tea beverages have played a fundamental role associated with their culture. It has been suggested that green tea has a number of positive health benefits that are reviewed and discussed in this minireview. Materials and Methods: We performed a search using the key words “green tea” AND “antiviral” covering the last 10 years. The consulted data based were PubMed, ISI Web of Knowledge, Scopus, Reuters and Thomson. Results: The results of the searching greatly support that green tea presents both antibacterial and antiviral effects. The beneficial effects of green tea are mainly attributed to the presence of a type of polyphenols known as catechins and formed by several isomers including (-) - epigallocatechin gallate (EGCG), (-) - epigallocatechin, (-) - epicatechin gallate, (-) -epicatechin, and (+) - catechin. The catechins in green tea have a wide range of antiviral activity against a variety of viruses that act by interfering with its replication cycle. Conclusion: A detailed information on the antiviral activity of green tea in a number of different viruses show a promising future as a popular drink and also as a potential therapeutic agent

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

قائد اعظمؒ اور اُردو شاعری

Literature is related with an individual as well as a society which describes both internal and external life of an individual.Literature,either in the form of poetry or prose,reflects the society.Therefore,it is the prime responsbility of writers that they should highlight their literary work only for fun and recreation but for the betterment of society.It implies that they should highlight their national identity in their writings,in order to emphasize upon making the messes to aware about their historical and national heros.In this regard we find a lot of poems on our national hero and founder of Pakistan Quaid-e-AzaM Muhammad Ali Jinnah which describe the life and services of Quaid-e-Azam.These poems also reflect the invisible capabilities of understanding,undefeatabla courage and strenght,axceptional political insight and sentimental balance of Quaid-e-eAzam

A Semantic Analysis of Hassan Shaikh’s Poem “Your Vivid Recollections"

This research paper analyzes the semantics of the poem, Your Vivid Recollections by Hassan Shaikh. Two linguistic theories are used as a framework to analyze the poem: They include the Truth-Conditional Semantics of rich in 1960 and the Event Semantics James Higginbotham in1980. The research is of qualitative and descriptive nature, which implies that the content analysis shall be used as a methodology to determine what the main themes are and emotions in poems can text convey with words; but it also has some structures such as sentences. Studying each line of the poem, researcher comes to conclusion about its verity also kind and nature of those terms or incidents happen in a poem towards ultimate purpose. This analysis has also revealed that the verbs, tenses and aspects used in this poem form part of a given sequence or structure of events, which has contrived to create meaning for the entire poem. Furthermore, the study seeks to demonstrate how truth-conditional semantics and event semantics deepen our comprehension of literary pieces as well as contribute to the field of literary scholarship. The research findings reveal the unnoticeable layers of sense and emotions present in the poem, demonstrating that applying linguistic theories to literary works is more important than one could judge it before