scholarly journals A Statistical Review of Alternative Zinc and Copper Extraction from Mineral Fertilizers and Industrial By-Products

2018 ◽  
Vol 101 (1) ◽  
pp. 190-195
Author(s):  
Camila Prado Cenciani de Souza ◽  
Cleide Aparecida de Abreu ◽  
Aline Renée Coscione ◽  
Cristiano Alberto de Andrade ◽  
Luiz Antonio Junqueira Teixeira ◽  
...  
Keyword(s):  
Standard Method ◽  
Low Cost ◽  
Alternative Methods ◽  
Future Research ◽  
Mineral Fertilizers ◽  
Copper Extraction ◽  
Cu Content ◽  
The Mean ◽  
Different Sources ◽  
By Products

Abstract Rapid, accurate, and low-cost alternative analytical methods for micronutrient quantification in fertilizers are fundamental in QC. The purpose of this study was to evaluate whether zinc (Zn) and copper (Cu) content in mineral fertilizers and industrial by-products determined by the alternative methods USEPA 3051a, 10% HCl, and 10% H2SO4 are statistically equivalent to the standard method, consisting of hot-plate digestion using concentrated HCl. The commercially marketed Zn and Cu sources in Brazil consisted of oxides, carbonate, and sulfate fertilizers and by-products consisting of galvanizing ash, galvanizing sludge, brass ash, and brass or scrap slag. The contents of sources ranged from 15 to 82% and 10 to 45%, respectively, for Zn and Cu. The Zn and Cu contents refer to the variation of the elements found in the different sources evaluated with the concentrated HCl method as shown in Table 1. A protocol based on the following criteria was used for the statistical analysis assessment of the methods: F-test modified by Graybill, t-test for the mean error, and linear correlation coefficient analysis. In terms of equivalents, 10% HCl extraction was equivalent to the standard method for Zn, and the results of the USEPA 3051a and 10% HCl methods indicated that these methods were equivalents for Cu. Therefore, these methods can be considered viable alternatives to the standard method of determination for Cu and Zn in mineral fertilizers and industrial by-products in future research for their complete validation.

scholarly journals QUANTILE PROBABILITY PREDICTIONS: A DEMONSTRATIVE PERFORMANCE ANALYSIS OF FORECASTS OF US COVID-19 DEATHS

2021 ◽  
Vol 9 (2) ◽  
pp. 139-163
Author(s):  
Mary E. Thomson ◽  
◽  
Andrew C. Pollock ◽  
Jennifer Murray ◽  
◽  
...  
Keyword(s):  
Performance Enhancement ◽  
Analytical Framework ◽  
Future Research ◽  
Emergency Situations ◽  
Forecasting Performance ◽  
Data Points ◽  
The Mean ◽  
Probability Forecasts ◽  
Improved Performance ◽  
Different Sources

An analytical framework is presented for the evaluation of quantile probability forecasts. It is demonstrated using weekly quantile forecasts of changes in the number of US COVID-19 deaths. Empirical quantiles are derived using the assumption that daily changes in a variable follow a normal distribution with time varying means and standard deviations, which can be assumed constant over short horizons such as one week. These empirical quantiles are used to evaluate quantile forecasts using the Mean Squared Quantile Score (MSQS), which, in turn, is decomposed into sub-components involving bias, resolution and error variation to identify specific aspects of performance, which highlight the strengths and weaknesses of forecasts. The framework is then extended to test if performance enhancement can be achieved by combining diverse forecasts from different sources. The demonstration illustrates that the technique can effectively evaluate quantile forecasting performance based on a limited number of data points, which is crucial in emergency situations such as forecasting pandemic behavior. It also shows that combining the predictions with quantile probability forecasts generated from an Autoregressive Order One, AR(1) model provided substantially improved performance. The implications of these findings are discussed, suggestions are offered for future research and potential limitations are considered.

scholarly journals PHYTOAVAILABILITY OF COPPER IN INDUSTRIAL BY-PRODUCTS AND MINERAL FERTILIZERS

2015 ◽  
Vol 39 (2) ◽  
pp. 553-562 ◽  
Author(s):  
Camila Prado Cenciani de Souza ◽  
Cleide Aparecida de Abreu ◽  
José Francisco da Cunha ◽  
Geraldo Magela da Costa ◽  
Cristiano Alberto de Andrade
Keyword(s):  
Acetic Acid ◽  
Citric Acid ◽  
Hot Water ◽  
Ammonium Citrate ◽  
Mineral Fertilizers ◽  
Buffer Solution ◽  
Solution Ph ◽  
Agronomic Efficiency ◽  
Cu Content ◽  
By Products

Alternative copper (Cu) sources could be used in fertilizer production, although the bioavailability of copper in these materials is unknown. The objective of this study was to evaluate the extractants neutral ammonium citrate (NAC), 2 % citric acid, 1 % acetic acid, 10 % HCl, 10 % H2SO4, buffer solution pH 6.0, DTPA, EDTA, water, and hot water in the quantification of available Cu content in several sources, relating them to the relative agronomic efficiency (RAE) of wheat grown in a clayey Latossolo Vermelho eutrófico (Oxisol) and Neossolo Quartzarênico (Typic Quartzipsamment). Copper was applied at the rate of 1.5 mg kg-1 as scrap slag, brass slag, Cu ore, granulated copper, and copper sulfate. The extractants 10 % HCl, 10 % H2SO4, and NAC extracted higher Cu concentrations. The RAE values of brass slag and Cu ore were similar to or higher than those of Cu sulfate and granulated Cu. Solubility in the 2nd NAC extractant, officially required for mineral fertilizers with Cu, was lower than 60 % for the scrap slag, Cu ore, and granulated copper sources. This fact indicates that adoption of the NAC extractant may be ineffective for industrial by-products, although no extractant was more efficient in predicting Cu availability for wheat fertilized with the Cu sources tested.

Understanding the Role of Chlorine and Ozone to Control Postharvest Diseases in Fruit and Vegetables: A Review

2020 ◽  
Vol 16 (4) ◽  
pp. 455-461
Author(s):  
Gabriela M. Baia ◽  
Otniel Freitas-Silva ◽  
Murillo F. Junior
Keyword(s):  
Chlorine Dioxide ◽  
Broad Spectrum ◽  
Fruits And Vegetables ◽  
Low Cost ◽  
Residual Effects ◽  
Pathogenic Microorganisms ◽  
Postharvest Diseases ◽  
Post Harvest ◽  
By Products

Fruits and vegetables are foods that come into contact with various types of microorganisms from planting to their consumption. A lack or poor sanitation of these products after harvest can cause high losses due to deterioration and/ or pathogenic microorganisms. There are practically no post-harvest fungicides or bactericides with a broad spectrum of action that have no toxic residual effects and are safe. However, to minimize such problems, the use of sanitizers is an efficient device against these microorganisms. Chlorine is the most prevalent sanitizing agent because of its broad spectrum, low cost and well-established practices. However, the inevitable formation of disinfection by-products, such as trihalomethanes (THMs) and haloacetic acids (HAAs), is considered one of the main threats to food safety. Alternative sanitizers, such as chlorine dioxide (ClO2) and ozone, are becoming popular as a substitute for traditional post-harvest treatments. Thus, this review addresses the use of chlorine, chlorine dioxide and ozone emphasizing aspects, such as usage, safe application, spectrum of action and legislation. In order to ensure the quality and safety of final products, the adoption of well-prepared sanitation and sanitation programs for post-harvest fruits and vegetables is essential.

Motivating Compliance: Firm Response to Mandatory Disclosure Policies

2018 ◽  
Vol 32 (2) ◽  
pp. 103-119
Author(s):  
Colleen M. Boland ◽  
Chris E. Hogan ◽  
Marilyn F. Johnson
Keyword(s):  
Conflict Of Interest ◽  
Low Cost ◽  
Cost Effective ◽  
Data Availability ◽  
Policy Adoption ◽  
Future Research ◽  
Regulated Firms ◽  
Firm Response ◽  
Disclosure Rules ◽  
The Impact

SYNOPSIS Mandatory existence disclosure rules require an organization to disclose a policy's existence, but not its content. We examine policy adoption frequencies in the year immediately after the IRS required mandatory existence disclosure by nonprofits of various governance policies. We also examine adoption frequencies in the year of the subsequent change from mandatory existence disclosure to a disclose-and-explain regime that required supplemental disclosures about the content and implementation of conflict of interest policies. Our results suggest that in areas where there is unclear regulatory authority, mandatory existence disclosure is an effective and low cost regulatory device for encouraging the adoption of policies desired by regulators, provided those policies are cost-effective for regulated firms to implement. In addition, we find that disclose-and-explain regulatory regimes provide stronger incentives for policy adoption than do mandatory existence disclosure regimes and also discourage “check the box” behavior. Future research should examine the impact of mandatory existence disclosure rules in the year that the regulation is implemented. Data Availability: Data are available from sources cited in the text.

Additive and Alternative Approaches to Treating Obsessive Compulsive Disorder

2012 ◽  
Author(s):  
Jordana Muroff ◽  
Abigail Ross ◽  
Joseph Rothfarb
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Behavioral Therapy ◽  
Alternative Methods ◽  
Herbal Remedies ◽  
Future Research ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Specific Alternative ◽  
Alternative Approaches ◽  
Complementary And Alternative

While cognitive-behavioral therapy (CBT) and pharmacotherapy are “gold standard” treatments for obsessive-compulsive disorder (OCD), complementary and alternative treatments are frequently sought for anxiety disorders. The purpose of this chapter is to review and discuss the available research on the application, efficacy and effectiveness of complementary and alternative methods for treating OCD. The first section identifies and reviews studies focusing on specific alternative and complementary treatments that are independent from, or work in conjunction with CBT, such as yoga, herbal remedies, motivational strategies, and bibliotherapy. The second section discusses alternative and complementary methods of more mainstream CBT and related techniques, with a particular focus on technology-supported approaches. The chapter concludes with a discussion of the methodological issues in the existing research on complementary and alternative methods in the treatment of OCD, questions for future research, and implications for providers.

scholarly journals Disinfection by-products in desalinated and blend water: formation and control strategy

2018 ◽  
Vol 17 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Shakhawat Chowdhury
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Cancer Risks ◽  
Domestic Water ◽  
Desalinated Water ◽  
Water Demands ◽  
Product Water ◽  
And Control ◽  
Different Sources ◽  
By Products

Abstract Desalinated seawater is the major source of drinking water in many countries. During desalination, several activities including pretreatment, desalination, stabilization, mixing, storage and distribution are performed. Few disinfectants are used during these activities to control the biofouling agents and microbiological regrowth. The reactions between the disinfectants and natural organic matter (NOM), bromide and iodide form disinfection by-products (DBPs) in product water. The product water is stabilized and mixed with treated freshwater (e.g., groundwater) to meet the domestic water demands. The DBPs in desalinated and blend water are an issue due to their possible cancer and non-cancer risks to humans. In this paper, formation and distribution of DBPs in different steps of desalination and water distribution systems prior to reaching the consumer tap were reviewed. The variability of DBPs among different sources and desalination processes was explained. The toxicities of DBPs were compared and the strategies to control DBPs in desalinated water were proposed. Several research directions were identified to achieve comprehensive control on DBPs in desalinated water, which are likely to protect humans from the adverse consequences of DBPs.

scholarly journals Monomers, Materials and Energy from Coffee By-Products: A Review

2021 ◽  
Vol 13 (12) ◽  
pp. 6921
Author(s):  
Laura Sisti ◽  
Annamaria Celli ◽  
Grazia Totaro ◽  
Patrizia Cinelli ◽  
Francesca Signori ◽  
...  
Keyword(s):  
Circular Economy ◽  
Food Industry ◽  
Food Packaging ◽  
Low Cost ◽  
Biofuel Production ◽  
Material Technology ◽  
Coffee Production ◽  
Coffee Pulp ◽  
Coffee Waste ◽  
By Products

In recent years, the circular economy and sustainability have gained attention in the food industry aimed at recycling food industrial waste and residues. For example, several plant-based materials are nowadays used in packaging and biofuel production. Among them, by-products and waste from coffee processing constitute a largely available, low cost, good quality resource. Coffee production includes many steps, in which by-products are generated including coffee pulp, coffee husks, silver skin and spent coffee. This review aims to analyze the reasons why coffee waste can be considered as a valuable source in recycling strategies for the sustainable production of bio-based chemicals, materials and fuels. It addresses the most recent advances in monomer, polymer and plastic filler productions and applications based on the development of viable biorefinery technologies. The exploration of strategies to unlock the potential of this biomass for fuel productions is also revised. Coffee by-products valorization is a clear example of waste biorefinery. Future applications in areas such as biomedicine, food packaging and material technology should be taken into consideration. However, further efforts in techno-economic analysis and the assessment of the feasibility of valorization processes on an industrial scale are needed.

scholarly journals Utility-Scale PV-Battery versus CSP-Thermal Storage in Morocco: Storage and Cost Effect under Penetration Scenarios

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4675
Author(s):  
Ayat-allah Bouramdane ◽  
Alexis Tantet ◽  
Philippe Drobinski
Keyword(s):  
Storage Capacity ◽  
Low Cost ◽  
Thermal Storage ◽  
Solar Pv ◽  
Storage Duration ◽  
Maximum Cost ◽  
Pv Inverter ◽  
The Mean ◽  
Mean Variance Portfolio ◽  
Utility Scale

In this study, we examine how Battery Storage (BES) and Thermal Storage (TES) combined with solar Photovoltaic (PV) and Concentrated Solar Power (CSP) technologies with an increased storage duration and rental cost together with diversification would influence the Moroccan mix and to what extent the variability (i.e., adequacy risk) can be reduced; this is done using recent (2013) cost data and under various penetration scenarios. To do this, we use MERRA-2 climate reanalysis to simulate hourly demand and capacity factors (CFs) of wind, solar PV and CSP without and with increasing storage capabilities—as defined by the CSP Solar Multiple (SM) and PV Inverter Loading Ratio (ILR). We adjust these time series to observations for the four Moroccan electrical zones over the year 2018. Our objective is to maximize the renewable (RE) penetration and minimize the imbalances between RE production and consumption considering three optimization strategies. We analyze mixes along Pareto fronts using the Mean-Variance Portfolio approach—implemented in the E4CLIM model—in which we add a maximum-cost constraint to take into account the different rental costs of wind, PV and CSP. We propose a method to calculate the rental cost of storage and production technologies taking into account the constraints on storage associated with the increase of SM and ILR in the added PV-BES and CSP-TES modules, keeping the mean solar CFs fixed. We perform some load bands-reduction diagnostics to assess the reliability benefits provided by each RE technology. We find that, at low penetrations, the maximum-cost budget is not reached because a small capacity is needed. The higher the ILR for PV, the larger the share of PV in the mix compared to wind and CSP without storage is removed completely. Between PV-BES and CSP-TES, the latter is preferred as it has larger storage capacity and thus stronger impact in reducing the adequacy risk. As additional BES are installed, more than TES, PV-BES is favored. At high penetrations, optimal mixes are impacted by cost, the more so as CSP (resp., PV) with high SM (resp., ILR) are installed. Wind is preferably installed due to its high mean CF compared to cost, followed by either PV-BES or CSP/CSP-TES. Scenarios without or with medium storage capacity favor CSP/CSP-TES, while high storage duration scenarios are dominated by low-cost PV-BES. However, scenarios ignoring the storage cost and constraints provide more weight to PV-BES whatever the penetration level. We also show that significant reduction of RE variability can only be achieved through geographical diversification. Technological complementarity may only help to reduce the variance when PV and CSP are both installed without or with a small amount of storage. However, the diversification effect is slightly smaller when the SM and ILR are increased and the covariances are reduced as well since mixes become less diversified.

scholarly journals Economic Burden of Colorectal Cancer: A Case of Fars, Iran

2021 ◽  
Vol 28 ◽  
pp. 107327482110099
Author(s):  
Abdosaleh Jafari ◽  
Peyman Mehdi Alamdarloo ◽  
Mehdi Dehghani ◽  
Peivand Bastani ◽  
Ramin Ravangard
Keyword(s):  
Colorectal Cancer ◽  
Economic Burden ◽  
Purchasing Power Parity ◽  
Annual Cost ◽  
Low Cost ◽  
Direct Costs ◽  
Fars Province ◽  
Power Parity ◽  
Medical Sciences ◽  
The Mean

Among cancers, colorectal cancer is the third most common cancer in the world and the fourth leading cause of cancer deaths worldwide. Some studies have shown that the incidence of colorectal cancer is increasing in Iran and in Fars province. The present study aimed to determine the economic burden of colorectal cancer in patients referred to the referral centers affiliated to Iran, Shiraz University of Medical Sciences in 2019 from the patients’ perspective. This is a partial economic evaluation and a cost-of-illness study conducted cross-sectionally in 2019. All the patients with colorectal cancer who had been referred to the referral centers affiliated to Iran, Shiraz University of Medical Sciences, and had medical records were studied through the census method (N = 96). A researcher-made data collection form was used to collect the cost data. The prevalence-based and bottom-up approaches were also used in this study. The human capital approach was applied to calculate indirect costs. The mean annual cost per patient with colorectal cancer in the present study was $10930.98 purchasing power parity (PPP) (equivalent to 5745.29 USD), the main part of which was the medical direct costs (74.86%). Also, among the medical direct costs per patient, the highest were those of surgeries (41.7%). In addition, the mean annual cost per patient with colorectal cancer in the country was $ 116917762 PPP (equivalent to 61451621.84 USD) in 2019. Regarding the considerable economic burden of colorectal cancer and in order to reduce the costs, these suggestions can be made: increasing the number of specialized beds through the cooperation of health donors, establishing free or low-cost accommodation centers for patients and their companions near the medical centers, using the Internet and cyberspace technologies to follow up the treatment of patients, and increasing insurance coverage and government drug subsidies on drug purchase.

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

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