The Relationship Between Intra-Organizational And Inter-Organizational Coordination And Its Influence On Product Quality Improvement

A sample of 225 firms is analyzed, using structural equation modeling, to test five hypotheses.  This study seeks to gain a better understanding of the practice of coordination among functional areas within the buying firm as well as between buyer firms and their key suppliers.  The implications of this research suggest that it is important for firms to focus on their long-term success as they work with key suppliers.  The research shows when the stakeholders of the firm support its efforts to coordination and cooperation with its key suppliers, the firm benefits.  Evidence shows cross-functional coordination enhances the firm’s capability to cooperate with its key suppliers.  The findings are significant to supply chain manager and to the various functional managers in charge of quality, production, R&D, and customer service and their respective counter parts in supplier firms.  Finally, this study expands prior research and fills a gap in the literature by showing the importance of inter-organizational coordination between the buyer’s supply management/purchasing function and the supplier’s operations function. This study reveals that conformance to specifications, product reliability and overall product quality performance can be significantly improved when these inter-organizational functional areas coordinate their requirements.  The study also shows that product quality can be significantly improved when intra-organizational and inter-organizational coordination occurs simultaneously

Optimization of wear parameters for aluminium 4% fly-ash composites

Dry sliding wear behaviour of aluminium matrix composites (AMCs) prepared by stir casting with 4% as fly ash reinforcement has been studied in the work. Dry sliding wear tests have been conducted using a pin-on-disc wear-testing machine to study the effect of changeable process parameters such as load, time, and sliding velocity, which have been used as design variables on the output parameters wear rate (WR) and coefficient of friction (COF). Sensitivity analysis has been carried out to find out the most significant parameter that can be controlled to minimize the WR. Further, the wear parameters have been optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) approach to reduce the WR. Therefore, this study offers useful insights to composite manufacturers, especially for automotive industries

Optimization of wear parameters for aluminium 4% fly-ash composites

458-464Dry sliding wear behaviour of aluminium matrix composites (AMCs) prepared by stir casting with 4% as fly ash reinforcement has been studied in the work. Dry sliding wear tests have been conducted using a pin-on-disc wear-testing machine to study the effect of changeable process parameters such as load, time, and sliding velocity, which have been used as design variables on the output parameters wear rate (WR) and coefficient of friction (COF). Sensitivity analysis has been carried out to find out the most significant parameter that can be controlled to minimize the WR. Further, the wear parameters have been optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) approach to reduce the WR. Therefore, this study offers useful insights to composite manufacturers, especially for automotive industries

Evaluation of different native Streptomyces spp. for effective management of rhizome rot of turmeric

The efficacy of talc based bioformulations containing various biocontrol agents against rhizome rot disease caused by Pythium aphanidermatum in turmeric plants was evaluated under field condition. Indigenous biocontrol agents such as Streptomyceslydicus, Streptomyces griseus and Streptomyces sannanensis belonging to actinomycetes group, Pseudomonas fluorescens (bacterial) and Trichoderma atroviride (fungal) were selected for the biological control of rhizome rot of turmeric. The results indicated a significantly stronger reduction in disease severity in trial plots treated with Bacillus subtilis based commercial fungicide ‘Companion’ when compared to plants treated with indigenous biocontrol agents. However, it was reverse in trial plots in terms of turmeric rhizome yield potential, yield attributes, physiological components, biochemical constituents and quality characteristics of rhizomes. Among 17 treatments, a dual mixture of S. griseus and T. atroviride achieved the best disease control as well as plant growth improvement when compared to single and triple combinations of biocontrol agents. The present study confirms that exploration of microbial formulations containing Streptomyces spp.as soil inoculant to turmeric plants exhibited some benefits to turmeric plant growth as well as controlling rhizome rot disease, which ultimately enhance the overall quality characteristics of rhizomes. Further, our results suggest that a dual combination of biocontrol agents represent a promising method for effective management of rhizome rot of turmeric

Post-transcriptional regulation of IGF1R by key microRNAs in long-lived mutant mice

Long-lived mutant mice, both Ames dwarf and growth hormone receptor genedisrupted or knockout strains, exhibit heightened cognitive robustness and altered IGF1 signaling in the brain. Here, we report, in both these long-lived mice, that three up-regulated lead microRNAs, miR-470, miR-669b, and miR-681, are involved in posttranscriptional regulation of genes pertinent to growth hormone/IGF1 signaling. All three are most prominently localized in the hippocampus and correspond to reduced expression of key IGF1 signaling genes: IGF1, IGF1R, and PI3 kinase. The decline in these genes expression translates into decreased phosphorylation of downstream molecules AKT and FoxO3a. Cultures transfected with either miR-470, miR-669b, or miR-681 show repressed endogenous expression of all three genes of the IGF1 signaling axis, most significantly IGF1R, while other similarly up-regulated microRNAs, including let-7g and miR-509, do not induce the same levels of repression. Transduction study in IGF1-responsive cell cultures shows significantly reduced IGF1R expression, and AKT to some extent, most notably by miR-681. This is accompanied by decreased levels of downstream phosphorylated forms of AKT and FoxO3a upon IGF1 stimulation. Suppression of IGF1R by the three microRNAs is further validated by IGF1R 3\u27UTR reporter assays. Taken together, our results suggest that miR-470, miR-669b, and miR-681 are all functionally able to suppress IGF1R and AKT, two upstream genes controlling FoxO3a phosphorylation status. Their up-regulation in growth hormone signaling-deficient mutant mouse brain suggests reduced IGF1 signaling at the posttranscriptional level, for numerous gains of neuronal function in these long-lived mice

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

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

3D BIOPRINTED VASCULARIZED DERMAL CONSTRUCT FOR SKIN TISSUE ENGINEERING

Master'sMASTER OF SCIENCE (RSH-FOD