Trigeneration based on the pyrolysis of rural waste in India: Environmental impact, economic feasibility and business model innovation

Pyrolysis-based waste-to-bioenergy development has the potential to resolve some of the major challenges facing rural communities in India such as poor electrification, household air pollution, and farmland degradation and contamination. Existing understanding and analysis of the economic feasibility and environmental impact of bioenergy deployment in rural areas is limited by parameter uncertainties, and relevant business model innovation following economic evaluation is even scarcer. This paper uses findings from a new field survey of 1200 rural households to estimate the economic feasibility and environmental impact of a pyrolysis-based bioenergy trigeneration development that was designed to tackle these challenges. Based on the survey results, probability distributions were constructed and used to supply input parameters for cost-benefit analysis and life cycle assessment. Monte Carlo simulation was applied to characterise the uncertainties of economic feasibility and environmental impact accounting. It was shown that the global warming potential of the development was 350 kg of CO2-eq per capita per annum. Also, the survey identified a significant mismatch between feedstock prices considered in the literature and prices asked for by the surveyed villagers. The results of the cost-benefit analysis and life cycle assessment were then applied to propose two novel business models inspired by the Business Model Canvas, which had the potential to achieve up to 90 % economic profitability and result in a benefit-cost ratio of 1.35-1.75. This is the first study achieving combined environmental and economic analysis and business model innovation for rural bioenergy production in developing countries.

Interpretable machine learning to model biomass and waste gasification

Machine learning has been regarded as a promising method to better model thermochemical processes such as gasification. However, their black box nature can limit how much one can trust and learn from the developed models. Here seven different machine learning methods have been adopted to model the gasification of biomass and waste across a wide range of operating conditions. Gradient boosting regression has been found to outperform the other model types with a coefficient of determination (R2) of 0.90 when averaged across ten key gasification outputs. Global and local model interpretability methods have been used to illuminate the developed black box models. The studied models were most strongly influenced by the feedstock's particle size and the type of gasifying agent employed. By combining global and local interpretability methods, the understanding of black box models has been improved. This allows policy makers and investors to make more educated decisions about gasification process design.

Life cycle assessment and net present worth analysis of a community-based food waste treatment system

Food waste management has been a global challenge with significant economic and environmental impacts. A community-based food waste treatment scheme for Glasgow, UK is proposed. The food waste was treated by small-scale wet, mesophilic anaerobic digestion. Biogas was combusted in a combined heat and power plant to generate heat and electricity for each community. 201.39 kWh of electricity and 246.09 kWh of thermal energy could be provided to local communities per tonne of food waste treated. A total of 52,762 tonnes of food waste were produced each year in the city. Net-present worth analysis was employed to evaluate the scheme's economic feasibility. The scheme's environmental impacts were evaluated using life cycle assessment. The entire system saved 92.27 kg CO2-eq. per tonne of food waste treated and had a net-present worth of £ 3.187 million with a carbon tax of 50 £ tonne-1 and a biogas yield of 190 m3 tonne-1.

Are patients with longer emergency department wait times less likely to consent to research?

OBJECTIVES

There are unique challenges to enrolling patients in emergency department (ED) clinical research studies, including the time-sensitive nature of emergency conditions, the acute care environment, and the lack of an established relationship with patients. Prolonged ED wait times have been associated with a variety of adverse effects on patient care. The objective of this study was to assess the effect of ED wait times on patient participation in ED clinical research. The hypothesis was that increased ED wait times would be associated with reduced ED clinical research consent rates.

METHODS

This was a retrospective cohort study of all patients eligible for two diagnostic clinical research studies from January 1, 2008, through December 31, 2008, in an urban academic ED. Sex, age, race, study eligibility, and research consent decisions were recorded by trained study personnel. The wait times to registration and to be seen by a physician were obtained from administrative databases and compared between consenters and nonconsenters. An analysis of association between patient wait times for the outcome of consent to participate was performed using a multivariate logistic regression model.

RESULTS

A total of 903 patients were eligible for enrollment and were asked for consent. Overall, 589 eligible patients (65%) gave consent to research participation. The consent rates did not change when patients were stratified by the highest and lowest quartile wait times for both time from arrival to registration (68% vs. 65%, p = 0.35) and time to be seen by a physician (65% vs. 66%, p = 0.58). After adjusting for patient demographics (age, race, and sex) and study, there was still no relationship between wait times and consent (p > 0.4 for both wait times). Furthermore, median time from arrival to registration did not differ between those who consented to participate (15 minutes; interquartile range [IQR] = 9 to 36 minutes) versus those who did not (15.5 minutes; IQR = 10 to 39 minutes; p = 0.80; odds ratio [OR] = 1.00, 95% confidence interval [CI] = 0.99 to 1.01). Similarly, there was no difference in the median time to be seen by a physician between those who consented (25 minutes; IQR = 15 to 55 minutes) versus those who did not (25 minutes; IQR = 15 to 56 minutes; p = 0.70; OR = 1.00, 95% CI = 0.99 to 1.01).

CONCLUSIONS

Regardless of wait times, nearly two-thirds of eligible patients were willing to consent to diagnostic research studies in the ED. These findings suggest that effective enrollment in clinical research is possible in the ED, despite challenges with prolonged wait times.

Safety of micafungin in infants: insights into optimal dosing

INTRODUCTION

Invasive Candida infections are a leading cause of mortality and morbidity in neonatal intensive care units (NICUs). Micafungin is a promising therapeutic option for treatment of invasive fungal infections in infants given its safety profile in older children and adults. Understanding micafungin safety in infants is particularly important because antifungals are most often used in premature infants with multiple underlying medical conditions in a critical care setting.

AREAS COVERED

This article reviews the literature evaluating the safety profile of micafungin in infants and offers recommendations for optimal dosing for treatment of invasive candidiasis in the NICU setting. The review has been performed using a Medline search in September 2010 for related articles from 1990 to the present with the Mesh related terms 'micafungin' and 'safety' in combination with the free words 'antifungal', 'candidiasis', 'drug toxicity', 'infant, premature' and 'infant, newborn'.

EXPERT OPINION

Despite the limitations of the existing literature, we believe micafungin dosing of 10 mg/kg/day for all term and preterm infants is a viable treatment option in the NICU setting for management of invasive candidiasis. Although the number of infants for whom safety data are reported is small, higher doses of micafungin appear safe and well tolerated in this population.

Utility of Topiramate for the Treatment of Patients with Chronic Migraine in the Presence or Absence of Acute Medication Overuse

Chronic migraine has been linked to the excessive use of acute headache medications. Medication overuse (MO) is commonly considered the most significant risk factor for the progression of migraine from an episodic to a chronic condition. Managing MO is a challenge. Discontinuation of the acute medication can result in withdrawal headache, nausea, vomiting and sleep disturbances. This review summarizes the results from two similarly designed, randomized, placebo- controlled, multicentre studies of chronic migraine conducted in the USA and European Union. Both studies demonstrate the efficacy and safety of the migraine preventive medication, topiramate, for the treatment of chronic migraine in patient populations both with and without MO. These studies may have important implications for the future of chronic migraine management, suggesting that detoxification prior to initiating prophylactic therapy may not be required in all patients if MO is present.

Integration of genetic and genomic methods for identification of genes and gene variants encoding QTLs in the nonhuman primate

We have developed an integrated approach, using genetic and genomic methods, in conjunction with resources from the Southwest National Primate Research Center (SNPRC) baboon colony, for the identification of genes and their functional variants that encode quantitative trait loci (QTL). In addition, we use comparative genomic methods to overcome the paucity of baboon specific reagents and to augment translation of our findings in a nonhuman primate (NHP) to the human population. We are using the baboon as a model to study the genetics of cardiovascular disease (CVD). A key step for understanding gene-environment interactions in cardiovascular disease is the identification of genes and gene variants that influence CVD phenotypes. We have developed a sequential methodology that takes advantage of the SNPRC pedigreed baboon colony, the annotated human genome, and current genomic and bioinformatic tools. The process of functional polymorphism identification for genes encoding QTLs involves comparison of expression profiles for genes and predicted genes in the genomic region of the QTL for individuals discordant for the phenotypic trait mapping to the QTL. After comparison, genes of interest are prioritized, and functional polymorphisms are identified in candidate genes by genotyping and quantitative trait nucleotide analysis. This approach reduces the time and labor necessary to prioritize and identify genes and their polymorphisms influencing variation in a quantitative trait compared with traditional positional cloning methods.

Time course of adverse events most commonly associated with topiramate for migraine prevention

The efficacy, safety and tolerability of topiramate has been demonstrated in three large multicenter, randomized, double-blind, placebo-controlled trials. To characterize the time course of adverse events (AEs) that led to treatment discontinuation in >/=2% of patients who received topiramate 100 mg/day during three pivotal, multicenter, randomized, double-blind, placebo-controlled, and 26-week trials. The pooled population comprised all randomized patients who reported safety data during the double-blind phase (topiramate 100 mg/day, n = 386; placebo n = 372), which consisted of a 4-week titration period and a 22-week maintenance period. Incidence, time to onset, and cumulative mean rate of AEs were assessed. Overall, AEs led to treatment discontinuation in 24.9% of patients receiving topiramate 100 mg/day and 11.0% receiving placebo (P < 0.001). AEs leading to discontinuation during the double-blind phase in > or =2% of patients included paresthesia (8.0% discontinued), any cognitive symptoms (7.3% discontinued), fatigue (4.7% discontinued), insomnia (3.4% discontinued), nausea (2.3% discontinued), loss of appetite, anxiety, and dizziness (2.1% discontinued because each AE). Most AEs began during the titration period. Paresthesia, any cognitive symptoms, nausea, and loss of appetite occurred at a higher rate in the topiramate group than in the placebo group (P < 0.01). AEs leading to discontinuation of topiramate are probably to occur during dose titration. If a patient has not experienced one of these AEs within the first 6 weeks of initiating topiramate 100 mg/day, these AEs are unlikely to occur.

The fetus at term: in utero volume-selected proton MR spectroscopy with a breath-hold technique--a feasibility study

In three healthy gravidas at 38 and 39 weeks gestation, fetal MR spectroscopy was performed with a breath-hold technique by using the following pulse sequences: single voxel point-resolved spectroscopy, or PRESS, for liver and heart studies and stimulated-echo acquisition mode, or STEAM, for brain studies. Signal peaks of lipid from heart and liver were detected, as were the signal peaks of choline, creatine, and N-acetylaspartate from fetal brain. Findings demonstrated the feasibility of performing proton MR spectroscopy to assess mobile fetal structures.

Magnetic resonance spectroscopy to detect lecithin in amniotic fluid and fetal lung

BACKGROUND

Proton magnetic resonance spectroscopy is a noninvasive technique that detects molecules within a specified region in vivo. Lecithin, the major component of surfactant, has a characteristic magnetic resonance signal, but to our knowledge, it has never been reported in fetal lung or amniotic fluid (AF). The objective of this study was to characterize the lecithin signal in utero, which could lead to a noninvasive fetal lung maturity test.

METHOD

Human fetal lung and AF pockets can be identified and studied with magnetic resonance spectroscopy with the use of a 1.5-tesla Vision whole-body magnetic resonance scanner (Siemens Medical Systems; Erlangen, Germany). Spectroscopy data are collected with a single-voxel-point-resolved spectroscopy sequence. After identification of fetal anatomy with the use of scout magnetic resonance images, magnetic resonance spectroscopy of human fetal lung and AF identifies a lecithin peak.

EXPERIENCE

Three healthy gravidas near term were studied and lecithin peaks were identified in all.

CONCLUSION

Lecithin can be identified in vivo with the use of volume-selected proton magnetic resonance spectroscopy. Patient comfort and extremely short scan times suggest that refined magnetic resonance spectroscopy might be a safe, quick, and comfortable test of fetal lung maturity.

Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis

To improve the ability of ultrasound to distinguish benign from malignant breast lesions, we used quantitative analysis of ultrasound image texture. Eight cancers, 22 cysts, 28 fibroadenomata, and 22 fibrocystic nodules were studied. The true nature of each lesion was determined by aspiration (for some cysts) or by open biopsy. Analysis of image texture was performed on digitized video output from the ultrasound scanner using fractal analysis and statistical texture analysis methods. The most useful features were those derived from co-occurrence matrices of the images. Using two features together (contrast of a co-occurrence matrix taken in an oblique direction, and correlation of a co-occurrence matrix taken in the horizontal direction), it was possible to exclude 78% of fibroadenomata, 73% of cysts, and 91% of fibrocystic nodules while maintaining 100% sensitivity for cancer. These findings suggest that ultrasonic image texture analysis is a simple way to markedly reduce the number of benign lesion biopsies without missing additional cancers.

External marketing. How it can build a dental practice

This article gives a general introduction to external marketing as it befits the image of the dental professional. Research and various media opportunities are discussed, highlighting their advantages and pointing out the pros and cons of each. The latest trends in advertising philosophy are intertwined with concrete advice regarding cost effectiveness. This article is helpful to solo as well as group practitioners.