EFFICACY OF PIPER NIGRUM (BLACK PEPPER): A REVIEW

Abstract-  Considerable literature on medicinal uses of Black Pepper is available in the traditional system of medicine. Black Pepper has been used in many traditional particularly Unani system of medicine. In this review paper, the study of Black Pepper its medicinal uses along with pharmacological actions is being presented. The plant description, its chemical constituents and properties have also been included. The paper also demonstrate the geographical distribution of Black Pepper across the world. The analysis shows that Black Pepper could be used as an effective medicine for various ailments mainly gastro-intestinal disorders in both as single as well in compound formulations.Key Words- Black Pepper,  Filfil Siyah, Unani Medicine,Â

Plumbagin inhibits invasion and migration of breast and gastric cancer cells by downregulating the expression of chemokine receptor CXCR4

<p>Abstract</p> <p>Background</p> <p>Increasing evidence indicates that the interaction between the CXC chemokine receptor-4 (CXCR4) and its ligand CXCL12 is critical in the process of metastasis that accounts for more than 90% of cancer-related deaths. Thus, novel agents that can downregulate the CXCR4/CXCL12 axis have therapeutic potential in inhibiting cancer metastasis.</p> <p>Methods</p> <p>In this report, we investigated the potential of an agent, plumbagin (5-hydroxy-2-methyl-1, 4-naphthoquinone), for its ability to modulate CXCR4 expression and function in various tumor cells using Western blot analysis, DNA binding assay, transient transfection, real time PCR analysis, chromatin immunoprecipitation, and cellular migration and invasion assays.</p> <p>Results</p> <p>We found that plumbagin downregulated the expression of CXCR4 in breast cancer cells irrespective of their HER2 status. The decrease in CXCR4 expression induced by plumbagin was not cell type-specific as the inhibition also occurred in gastric, lung, renal, oral, and hepatocellular tumor cell lines. Neither proteasome inhibition nor lysosomal stabilization had any effect on plumbagin-induced decrease in CXCR4 expression. Detailed study of the underlying molecular mechanism(s) revealed that the regulation of the downregulation of CXCR4 was at the transcriptional level, as indicated by downregulation of mRNA expression, inhibition of NF-κB activation, and suppression of chromatin immunoprecipitation activity. In addition, using a virtual, predictive, functional proteomics-based tumor pathway platform, we tested the hypothesis that NF-κB inhibition by plumbagin causes the decrease in CXCR4 and other metastatic genes. Suppression of CXCR4 expression by plumbagin was found to correlate with the inhibition of CXCL12-induced migration and invasion of both breast and gastric cancer cells.</p> <p>Conclusions</p> <p>Overall, our results indicate, for the first time, that plumbagin is a novel blocker of CXCR4 expression and thus has the potential to suppress metastasis of cancer.</p

Picosecond Synchronization of Photon Pairs through a Fiber Link between Fermilab and Argonne National Laboratories

We demonstrate a three-node quantum network for C-band photon pairs using 2 pairs of 59 km of deployed fiber between Fermi and Argonne National Laboratories. The C-band pairs are directed to nodes using a standard telecommunication switch and synchronized to picosecond-scale timing resolution using a coexisting O- or L-band optical clock distribution system. We measure a reduction of coincidence-to-accidental ratio (CAR) of the C-band pairs from 51 $\pm$ 2 to 5.3 $\pm$ 0.4 due to Raman scattering of the O-band clock pulses. Despite this reduction, the CAR is nevertheless suitable for quantum networks

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

General Hypochondriasis in Diabetes Mellitus Type-II (DM-II): Implications for Clinicians

Background Relatively little is known about the epidemiology of hypochondriasis, especially in Diabetes Mellitus Type-II (DM-II) patients, though hypochondriasis is considered to be of high relevance in the healthcare sector, especially in chronic diseases. The aims of this study were to study the prevalence of general hypochondriasis in DM-II patients and to explore some of the possible aggravating factors. Methods The data was collected by interview and observation method with Illness Behaviour Questionnaire and Temperament Assessment Format. Results Hypochondriasis was found to be most prevalent in subjects having Saudavi temperament (75.55%) followed by those having Balghami temperament (56.81%). The patients having elevated blood sugar and those on injectable hypoglycemics also demonstrated a higher prevalence of hypochondriasis. Conclusion The results indicate that hypochondriasis is quite prevalent in DM-II patients; and, in addition to the severity of disease, it may also be influenced by the medication and patient’s temperament

VTalk: A System for generating Text-to-Audio-Visual Speech

This paper describes VTalk, a system for synthesizing text-to-audiovisual speech (TTAVS), where the input text is converted into an audiovisual speech stream incorporating the head and eye movements. It is an image-based system, where the face is modeled using a set of images of a human subject. A concatination of visemes –the corresponding lip shapes for phonemes — can be used for modeling visual speech. A smooth transition between visemes is achieved using morphing along the correspondence between the visemes obtained by optical flows. The phonemes and timing parameters given by the text-to-speech synthesizer determines the corresponding visemes to be used for the synthesis of the visual stream. We provide a method using polymorphing to incorporate co-articulation during the speech in our TTAVS. We also include nonverbal mechanisms in visual speech communication such as eye blinks and head nods, which make the talking head model more lifelike. For eye movement, a simple mask based approach is employed and view morphing is used to generate the intermediate images for the movement of head. All these features are integrated into a single system, which takes text, head and eye movement parameters as input and produces the complete audiovisual stream. Keywords: Text-to-audio-visual speech, Morphing, Visemes, Co-articulation. 1

Text-to-audiovisual speech synthesizer

Abstract. This paper describes a text-to-audiovisual speech synthesizer system incorporating the head and eye movements. The face is modeled using a set of images of a human subject. Visemes, that are a set of lip images of the phonemes, are extracted from a recorded video. A smooth transition between visemes is achieved by morphing along the correspondence between the visemes obtained by optical flows. This paper also describes methods for introducing nonverbal mechanisms in visual speech communication such as eye blinks and head nods. For eye movements, a simple mask based approach is used. View morphing is used to generate the head movement. A complete audiovisual sequence is constructed by concatenating the viseme transitions and synchronizing the visual stream with the audio stream. An effort has been made to integrate all these features into a single system, which takes text, head and eye movement parameters and produces the audiovisual stream. 1