The Design of Cost-Effective Strategies to Control Acidic Deposition

2019 ◽  
pp. 173-218
Author(s):  
David G. Streets
1998 ◽  
Vol 37 (3) ◽  
pp. 241-247 ◽  
Author(s):  
Peter Gerdes ◽  
Sabine Kunst

The bioavailability of phosphorus from different sources has been evaluated in the catchment area of the River Ilmenau (Lower-Saxony, Germany) by using algal assays. The P bioavailability describes the different potential of P from various sources of supporting eutrophication. Effluents from sewage treatment plants were highly bioavailable (72% of TP) whereas rainwater (26%) and erosion effluents (30%) showed a low bioavailability. In order to develop effective strategies to minimize P inputs into the river, source specific P bioavailability indices were determined and combined with a P balance to calculate inputs of vioavailable P (BAP) instead of total P (TP). It could be shown that the relative importance of the different P sources changes when applying BAP. Measures to reduce P inputs into the River Ilmenau will take P bioavailability into consideration and therefore lead to a more cost-effective management.


Biomolecules ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1072
Author(s):  
Raquel Cid ◽  
Jorge Bolívar

To date, vaccination has become one of the most effective strategies to control and reduce infectious diseases, preventing millions of deaths worldwide. The earliest vaccines were developed as live-attenuated or inactivated pathogens, and, although they still represent the most extended human vaccine types, they also face some issues, such as the potential to revert to a pathogenic form of live-attenuated formulations or the weaker immune response associated with inactivated vaccines. Advances in genetic engineering have enabled improvements in vaccine design and strategies, such as recombinant subunit vaccines, have emerged, expanding the number of diseases that can be prevented. Moreover, antigen display systems such as VLPs or those designed by nanotechnology have improved the efficacy of subunit vaccines. Platforms for the production of recombinant vaccines have also evolved from the first hosts, Escherichia coli and Saccharomyces cerevisiae, to insect or mammalian cells. Traditional bacterial and yeast systems have been improved by engineering and new systems based on plants or insect larvae have emerged as alternative, low-cost platforms. Vaccine development is still time-consuming and costly, and alternative systems that can offer cost-effective and faster processes are demanding to address infectious diseases that still do not have a treatment and to face possible future pandemics.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1051
Author(s):  
Jonattan Gallegos-Catalán ◽  
Zachary Warnken ◽  
Tania F. Bahamondez-Canas ◽  
Daniel Moraga-Espinoza

Orally inhaled drug products (OIDPs) are an important group of medicines traditionally used to treat pulmonary diseases. Over the past decade, this trend has broadened, increasing their use in other conditions such as diabetes, expanding the interest in this administration route. Thus, the bioequivalence of OIDPs is more important than ever, aiming to increase access to affordable, safe and effective medicines, which translates into better public health policies. However, regulatory agencies leading the bioequivalence process are still deciding the best approach for ensuring a proposed inhalable product is bioequivalent. This lack of agreement translates into less cost-effective strategies to determine bioequivalence, discouraging innovation in this field. The Next-Generation Impactor (NGI) is an example of the slow pace at which the inhalation field evolves. The NGI was officially implemented in 2003, being the last equipment innovation for OIDP characterization. Even though it was a breakthrough in the field, it did not solve other deficiencies of the BE process such as dissolution rate analysis on physiologically relevant conditions, being the last attempt of transferring technology into the field. This review aims to reveal the steps required for innovation in the regulations defining the bioequivalence of OIDPs, elucidating the pitfalls of implementing new technologies in the current standards. To do so, we collected the opinion of experts from the literature to explain these trends, showing, for the first time, the stakeholders of the OIDP market. This review analyzes the stakeholders involved in the development, improvement and implementation of methodologies that can help assess bioequivalence between OIDPs. Additionally, it presents a list of methods potentially useful to overcome some of the current limitations of the bioequivalence standard methodologies. Finally, we review one of the most revolutionary approaches, the inhaled Biopharmaceutical Classification System (IBCs), which can help establish priorities and order in both the innovation process and in regulations for OIDPs.


2021 ◽  
Vol 43 (1) ◽  
pp. 4-7
Author(s):  
Linda J. Johnston ◽  
Norma Gonzalez-Rojano ◽  
Kevin J. Wilkinson ◽  
Baoshan Xing

Abstract Nanotechnology has developed rapidly in the last two decades with significant effort focused on the development of nano-enabled materials with new or improved properties that offer solutions for current world challenges. The commercialization of products containing engineered nanomaterials (ENM) has progressed much more rapidly than the development of practical approaches to ensure their safe and sustainable use. The lack of adequate detection and characterization techniques and reproducible and validated methods for toxicological studies have been identified as major limitations. The rapid development of ENM of increasing complexity and diversity and concerns over the adequacy of existing regulations also contribute to safety concerns with these materials. The full potential of nanotechnology can only be realized when feasible, cost-effective strategies to ensure a safe-by-design approach, effective risk assessment approaches and appropriate regulatory guidelines are in place.


2017 ◽  
Vol 44 (1) ◽  
pp. 11-17 ◽  
Author(s):  
E. Charles Osterberg ◽  
Gregory Murphy ◽  
Catherine R. Harris ◽  
Benjamin N. Breyer

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1536 ◽  
Author(s):  
Amir Mosavi ◽  
Pinar Ozturk ◽  
Kwok-wing Chau

Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life, and reduction of the property damage associated with floods. To mimic the complex mathematical expressions of physical processes of floods, during the past two decades, machine learning (ML) methods contributed highly in the advancement of prediction systems providing better performance and cost-effective solutions. Due to the vast benefits and potential of ML, its popularity dramatically increased among hydrologists. Researchers through introducing novel ML methods and hybridizing of the existing ones aim at discovering more accurate and efficient prediction models. The main contribution of this paper is to demonstrate the state of the art of ML models in flood prediction and to give insight into the most suitable models. In this paper, the literature where ML models were benchmarked through a qualitative analysis of robustness, accuracy, effectiveness, and speed are particularly investigated to provide an extensive overview on the various ML algorithms used in the field. The performance comparison of ML models presents an in-depth understanding of the different techniques within the framework of a comprehensive evaluation and discussion. As a result, this paper introduces the most promising prediction methods for both long-term and short-term floods. Furthermore, the major trends in improving the quality of the flood prediction models are investigated. Among them, hybridization, data decomposition, algorithm ensemble, and model optimization are reported as the most effective strategies for the improvement of ML methods. This survey can be used as a guideline for hydrologists as well as climate scientists in choosing the proper ML method according to the prediction task.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 184 ◽  
Author(s):  
Charles Rupprecht ◽  
Ivan Kuzmin ◽  
Francois Meslin

Lyssaviruses are bullet-shaped, single-stranded, negative-sense RNA viruses and the causative agents of the ancient zoonosis rabies. Africa is the likely home to the ancestors of taxa residing within the GenusLyssavirus, FamilyRhabdoviridae. Diverse lyssaviruses are envisioned as co-evolving with bats, as the ultimate reservoirs, over seemingly millions of years. In terms of relative distribution, overt abundance, and resulting progeny, rabies virus is the most successful lyssavirus species today, but for unknown reasons. All mammals are believed to be susceptible to rabies virus infection. Besides reservoirs among the Chiroptera, meso-carnivores also serve as major historical hosts and are represented among the canids, raccoons, skunks, mongooses, and ferret badgers.  Perpetuating as a disease of nature with the mammalian central nervous system as niche, host breadth alone precludes any candidacy for true eradication. Despite having the highest case fatality of any infectious disease and a burden in excess of or comparative to other major zoonoses, rabies remains neglected. Once illness appears, no treatment is proven to prevent death. Paradoxically, vaccines were developed more than a century ago, but the clear majority of human cases are unvaccinated. Tens of millions of people are exposed to suspect rabid animals and tens of thousands succumb annually, primarily children in developing countries, where canine rabies is enzootic. Rather than culling animal populations, one of the most cost-effective strategies to curbing human fatalities is the mass vaccination of dogs. Building on considerable progress to date, several complementary actions are needed in the near future, including a more harmonized approach to viral taxonomy, enhanced de-centralized laboratory-based surveillance, focal pathogen discovery and characterization, applied pathobiological research for therapeutics, improved estimates of canine populations at risk, actual production of required vaccines and related biologics, strategies to maximize prevention but minimize unnecessary human prophylaxis, and a long-term, realistic plan for sustained global program support to achieve success in disease control, prevention, and elimination.


Author(s):  
Alison Horstmeyer

Purpose This paper describes the ways automation and artificial intelligence are shifting the business landscape and how learning professionals can use curiosity to enhance their own and their organizations' success. Design/methodology/approach A review of theory and research on automation and artificial intelligence, curiosity, and learning and development challenges was conducted. Findings Although technological advancements are already transforming the workplace, the optimal benefits of these technologies will be realized only in collaboration with human capital. In particular, as certain manual and technical skills are replaced by automation, the jobs that remain will require more highly developed social and cognitive skills such as creative problem solving, interpersonal skills and empathy, and adaptability and continuous learning. Practical implications Learning professionals are encouraged to use strategies that leverage the power of curiosity to cultivate the soft skills critical for success in technologically advanced workplaces. Originality/value Technological advancement creates an ever-changing organizational and learning landscape for employees and development professionals. Cost-effective strategies are needed to close the growing skill gaps that result. Curiosity is a helpful tool for growing needed competencies.


Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Shehryar R Sheikh ◽  
Michael P Steinmetz ◽  
Michael W Kattan ◽  
Mendel Singer ◽  
Belinda Udeh ◽  
...  

Abstract INTRODUCTION Surgery is an effective treatment for many pharmacoresistant temporal lobe epilepsy patients, but incurs considerable cost. It is unknown whether surgery and surgical evaluation are cost-effective strategies in the United States. We aim to evaluate whether 1) surgery is cost-effective for patients who have been deemed surgical candidates when compared to continued medical management, 2) surgical evaluation is cost-effective for patients who have drug-resistant temporal epilepsy and may or may not ultimately be deemed surgical candidates METHODS We use a Monte Carlo simulation method to assess the cost-effectiveness of surgery and surgical evaluation over a lifetime horizon. Patients transition between two health states (‘seizure free’ and ‘having seizures’) as part of a Markov process, based on literature estimates. We adopt both healthcare and societal perspectives, including direct healthcare costs and indirect costs such as lost earnings by patients and care providers. We estimate variability of model predictions using probabilistic and deterministic sensitivity analyses. RESULTS 1) Epilepsy surgery is cost effective in surgically eligible patients by virtue of being cost saving and more effective than medical management in the long run, with 95% of 10 000 Monte Carlo simulations favoring surgery. From a societal perspective, surgery becomes cost effective within 3 yr. At 5 yr, surgery has an incremental cost-effectiveness ratio (ICER) of $31,600, which is significantly below the societal willingness-to-pay (∼ $100,000/quality-adjusted life years (QALY)) and comparable to hip/knee arthroplasty. 2) Surgical evaluation is cost-effective in pharmacoresistant patients even if the probability of being deemed a surgical candidate is low (5%-10%). Even if the probability of surgical eligibility is only 10%, surgical referral has an ICER of $96,000/QALY, which is below societal willingness-to-pay. CONCLUSION Epilepsy surgery and surgical evaluation are both cost-effective strategies in the United States. Pharmacoresistant temporal lobe epilepsy patients should be referred for surgical evaluation without hesitation on cost-effectiveness grounds.


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