scholarly journals Effect of the method for the elimination of inhibitors present in Miscanthus giganteus hydrolysates on ethanol production effectiveness

Author(s):  
Natalia Kordala ◽  
Małgorzata Lewandowska ◽  
Włodzimierz Bednarski

AbstractThe pretreatment of lignocellulosic material performed to improve substrate’s susceptibility to enzymatic hydrolysis is usually accompanied by reactions leading to the synthesis of compounds that inhibit the metabolic activity of microorganisms. Their toxicity is the main obstacle to the successful bioconversion of lignocellulosic hydrolysates. The identification of these inhibitors and the choice of the optimal detoxication method are crucial for the improving the efficiency of fermentation processes. Material rinsing with water after processing is a common detoxication practice. However, it generates material losses, thus affecting contents of saccharides in the fermentation medium, which may in turn trigger higher costs of lignocellulose conversion to ethanol and other products with a higher added value. A study was undertaken to determine the effect of selected methods for the detoxication of an enzymatic hydrolysate from Miscanthus giganteus on the fermentation efficiency of saccharide derivatives. The experiment conducted with Mucor rouxii DSM 1191 demonstrated the usability of the detoxication method based on the activated carbon. After 96-h fermentation of Miscanthus hydrolysates, the alcohol content in the post-reaction medium was higher by 14% than in the control experiment wherein the material was rinsed with water after pretreatment. The experiment carried out with Saccharomyces cerevisiae 7, NRRL 978 showed no positive impact of the alternative detoxication methods replacing material rinsing on the efficiency of ethanol synthesis. The highest concentration of this metabolite (2.04% (v/v)) was obtained in the experimental variant in which the mentioned operation was coupled with detoxication of hydrolysates using calcium hydroxide.

2008 ◽  
Vol 17 (01) ◽  
pp. 114-127 ◽  
Author(s):  
Rodolphe Meyer ◽  
Patrice Degoulet

Summary Objectives To examine the different methods that can be used in the quantification of the added value of information technologies (IT) in the health care sector. This quantification represents a major issue for decision-makers and health care professionals when they have to plan an IT investment. MethodsArticles were chosen via Medline, internet and the University of Geneva bibliographic portal. Some of the papers were obtained directly from their authors. We examine the most current methods used to evaluate IT return on investment (ROI) in the general business and in the health care sector, drawing attention on methods traditionally used in macro economic studies that could reveal themselves disruptive for IT ROI impact evaluation in hospitals. Results Financial and accounting methods can provide interesting data on a specific IT project but are usually incomplete for revealing the global IT investment influence. Econometric methods tend to demonstrate the positive impact of health care IT (HIT) on hospital production and productivity. Hospitals having higher levels of IT investment tend to deliver a higher level of clinical quality and show improved hospital cost performances. Conclusions Information technologies are so intermingled with people and processes that the identification of specific IT benefit remains questionable. Using macro economic tools could be the best way to analyze and compute IT ROI in health care. Econometric tools take into account all types investments (inputs) and all the returns (outputs) enabling the precise measurement of IT investments impact, breakeven points, and possible threshold levels, thus providing helpful intelligence to reach the higher levels of IT governance in hospitals.


2015 ◽  
Vol 100 (2) ◽  
pp. 597-611 ◽  
Author(s):  
Rossana Liguori ◽  
Valeria Ventorino ◽  
Olimpia Pepe ◽  
Vincenza Faraco

2017 ◽  
Vol 33 (S1) ◽  
pp. 57-58
Author(s):  
Michèle de Guise ◽  
Geneviève Plamondon ◽  
Mariève Simoncelli

INTRODUCTION:Decision makers worldwide face the challenge of offering the best health care within a context of scarce resources. Technological developments have multiplied in the past decades, with the lifecycle of technologies becoming shorter. As a result, the traditional Health Technology Assessment (HTA) model is often caught in a too early, too late syndrome. In the province of Québec (Canada), there is no standardized process for assessing non-pharmaceutical technologies for reimbursement purposes, and technologies are therefore introduced via multiple sources. There are concerns that the introduction of some of the most promising technologies is delayed, and on the contrary, that others are introduced without providing a real added value to patients and the health system.METHODS:INESSS (Institut national d'excellence en santé et services sociaux), collectively with stakeholders of the Québec innovation field, has developed a dynamic process for assessing the added value of innovative technologies. POETIS (Processus optimisé d'évaluation des technologies innovantes en santé) aims to identify the technologies with the highest potential for positive impact on patients and the health system, in order to accelerate their implementation and promote their optimal use.RESULTS:POETIS comprises four phases aligned with the lifecycle of technologies: research and development, pre-implementation, limited implementation, and diffusion. It allows a continuum of assessment, from the promise of a technology to its real-world benefit. It differs from other approaches because of the sustained involvement of key stakeholders, including patients, and because it assesses technologies iteratively, therefore fostering their adaptation to better suit patients needs. It is hoped for the first technologies to be assessed in 2017.CONCLUSIONS:HTA has to adapt to the challenges of innovation, and this could be done with a lifecycle approach and an enhanced collaboration with end-users. Developed in Canada, the goals behind POETIS are common to many countries and the process could be adapted by other HTA agencies.


2020 ◽  
Vol 12 (7) ◽  
pp. 1147
Author(s):  
Yanhui Xie ◽  
Min Chen ◽  
Jiancheng Shi ◽  
Shuiyong Fan ◽  
Jing He ◽  
...  

The Advanced Technology Microwave Sounder (ATMS) mounted on the Suomi National Polar-Orbiting Partnership (NPP) satellite can provide both temperature and humidity information for a weather prediction model. Based on the rapid-refresh multi-scale analysis and prediction system—short-term (RMAPS-ST), we investigated the impact of ATMS radiance data assimilation on strong rainfall forecasts. Two groups of experiments were conducted to forecast heavy precipitation over North China between 18 July and 20 July 2016. The initial conditions and forecast results from the two groups of experiments have been compared and evaluated against observations. In comparison with the first group of experiments that only assimilated conventional observations, some added value can be obtained for the initial conditions of temperature, humidity, and wind fields after assimilating ATMS radiance observations in the system. For the forecast results with the assimilation of ATMS radiances, the score skills of quantitative forecast rainfall have been improved when verified against the observed rainfall. The Heidke skill score (HSS) skills of 6-h accumulated precipitation in the 24-h forecasts were overall increased, more prominently so for the heavy rainfall above 25 mm in the 0–6 h of forecasts. Assimilating ATMS radiance data reduced the false alarm ratio of quantitative precipitation forecasting in the 0–12 h of the forecast range and thus improved the threat scores for the heavy rainfall storm. Furthermore, the assimilation of ATMS radiances improved the spatial distribution of hourly rainfall forecast with observations compared with that of the first group of experiments, and the mean absolute error was reduced in the 10-h lead time of forecasts. The inclusion of ATMS radiances provided more information for the vertical structure of features in the temperature and moisture profiles, which had an indirect positive impact on the forecasts of the heavy rainfall in the RMAPS-ST system. However, the deviation in the location of the heavy rainfall center requires future work.


2017 ◽  
Vol 18 (5) ◽  
pp. 1425-1451 ◽  
Author(s):  
Camille Birman ◽  
Fatima Karbou ◽  
Jean-François Mahfouf ◽  
Matthieu Lafaysse ◽  
Yves Durand ◽  
...  

Abstract A one-dimensional variational data assimilation (1DVar) method to retrieve profiles of precipitation in mountainous terrain is described. The method combines observations from the French Alpine region rain gauges and precipitation estimates from weather radars with background information from short-range numerical weather prediction forecasts in an optimal way. The performance of this technique is evaluated using measurements of precipitation and of snow depth during two years (2012/13 and 2013/14). It is shown that the 1DVar model allows an effective assimilation of measurements of different types, including rain gauge and radar-derived precipitation. The use of radar-derived precipitation rates over mountains to force the numerical snowpack model Crocus significantly reduces the bias and standard deviation with respect to independent snow depth observations. The improvement is particularly significant for large rainfall or snowfall events, which are decisive for avalanche hazard forecasting. The use of radar-derived precipitation rates at an hourly time step improves the time series of precipitation analyses and has a positive impact on simulated snow depths.


2006 ◽  
Vol 63 (1) ◽  
pp. 151-174 ◽  
Author(s):  
Rupa Kamineni ◽  
T. N. Krishnamurti ◽  
S. Pattnaik ◽  
Edward V. Browell ◽  
Syed Ismail ◽  
...  

Abstract This study explores the impact on hurricane data assimilation and forecasts from the use of dropsondes and remotely sensed moisture profiles from the airborne Lidar Atmospheric Sensing Experiment (LASE) system. It is shown here that the use of these additional datasets, more than those from the conventional world weather watch, has a positive impact on hurricane predictions. The forecast tracks and intensity from the experiments show a marked improvement compared to the control experiment in which such datasets were excluded. A study of the moisture budget in these hurricanes showed enhanced evaporation and precipitation over the storm area. This resulted in these datasets making a large impact on the estimate of mass convergence and moisture fluxes, which were much smaller in the control runs. Overall this study points to the importance of high vertical resolution humidity datasets for improved model results. It is noted that the forecast impact from the moisture-profiling datasets for some of the storms is even larger than the impact from the use of dropwindsonde-based winds.


10.28945/2158 ◽  
2015 ◽  
Vol 14 ◽  
pp. 017-038 ◽  
Author(s):  
Dimitra Theodosiadou ◽  
Angelos Konstantinidis

Electronic portfolios (e-portfolios) have a positive impact on the learning process in a broad range of educational sectors and on learners of all ages. Yet because most e-portfolio-related studies are about their implementation in higher education, this type of research is less usual in the early childhood context, and there is no available research for Greek schools. This study aims to investigate the impact of e-portfolios on learning in a Greek primary school and to provide a resource regarding the educational benefits of e-portfolio in primary education. To do that, it employs the qualitative naturalistic method to collect data, along with mixed methods which were used to achieve triangulation and strengthen confidence in the outcomes. Participants in the research were fourteen 8-year-old pupils, and one of the researchers was their regular teacher. Data evaluation revealed that the e-portfolio added value in pupils’ learning, acted as a medium to involve parents, promoted pupils’ self-esteem, and was acknowledged as a valuable assessment tool and a challenge for the school community. Based on the experience of the e-portfolio implementation, the authors provide some suggestions that would possibly help researchers and primary school teachers adopt and develop e-portfolio systems in their particular settings.


2019 ◽  
Vol 8 (2) ◽  
pp. 244-256
Author(s):  
Aris Triyono ◽  
Suwaji Suwaji ◽  
Marwan Indra Saputra

Cooperatives are not only expected to be able to produce residual business results in each period, investment activities carried out by cooperatives must be effective in producing positive added value, therefore cooperatives need to be managed as well as possible so that they can grow into a strong and independent organization, with the best performance and ability raise the welfare of its members. This research is in Kopsa. Manunggal Enterprises, Seresam Village, Seberida District, Indragiri Hulu Regency, Riau Province. The purpose of this research is to find out and analyze Cooperative Performance and Its Impact on Members' Welfare. This study used a quantitative descriptive approach, the data the authors use are primary and secondary data, primary data obtained through questionnaires distributed to research respondents to measure Cooperative Performance and Members' Welfare Levels, and secondary data obtained directly from Kopsa. Manunggal Enterprises in the form of financial statement documents. The analytical tool used to measure / assess financial performance with the viewpoint of Economic Value Added (EVA. Cooperative Performance is measured based on 6 (six) indicators of Cooperative Performance, namely: Business Entity Activities, Business Performance, Members' Cohesiveness and Participation, Orientation to Member Services, Services to the Community and contribution to Regional Development Welfare level is measured based on aspects of family income, expenditure on consumption, employment status, health conditions and the ability to access other basic needs.The results of descriptive analysis show Kopsa. Manunggal Enterprises including Cooperatives that are performing well, households Farmers who are members of Kopsa, Manunggal Enterprises are included in the welfare category and the regression analysis conducted shows that the regression coefficient is positive, meaning that there is a positive impact between Cooperative Performance and Welfare. The better the Cooperative Performance will have a positive impact on increasing yes the welfare of members, this can happen because of the monoculture community farming patterns where the main source of income of the village community, especially Kopsa members. Manunggal Business is a commodity of oil palm plantations managed by cooperatives, so the cooperative performance variable becomes very influential in influencing the ease of service, distribution of member income, access to credit and other ease of convenience.


2020 ◽  
Vol 17 ◽  
pp. 209-217
Author(s):  
Sergi Gonzalez ◽  
Alfons Callado ◽  
Mauricia Martínez ◽  
Benito Elvira

Abstract. Kilometric-resolution Ensemble Prediction Systems (EPSs) will be the new state-of-the-art forecasting tools for short-range prediction in the following decade. Their value will be even greater in Antarctica due to the increasingly demanding weather forecasts for logistic services. During the 2018–2019 austral summer (1 December–31 March), coinciding with the Southern Hemisphere Special Observation Period of the Year of Polar Prediction (YOPP), the 2.5 km AEMET-γSREPS was operationally integrated over the Antarctic Peninsula. In particular, the Antarctic version of γSREPS comes up with crossing four non-hydrostatic convection-permitting NWP models at 2.5 km with three global NWP driving models as boundary conditions. The γSREPS forecasting system has been validated in comparison with ECMWF EPS. It is concluded that γSREPS has an added value to ECMWF EPS due to both its higher resolution and its multi-boundary conditions and multi-NWP model approach. γSREPS performance has a positive impact on logistic activities at research stations and its design may contribute to polar prediction research.


Author(s):  
Diego Santos González

Given the growing need for an increasingly practical teaching pedagogy, there is a need to innovate in content that helps us achieve the objectives of the different training programs. These innovations should not only respond to the application of new methodologies, but it is also necessary for the content to add value to the students. It is necessary that teachers advance at the same pace as society and understand that the expiration of content is increasingly rapid. I personally like to use videos in classes. But to do so, it has to fulfill a series of characteristics. Fundamentally, that its projection generates added value. That is, any proposal is meaningless if the recipient does not consider it useful. In this case, we will focus on how video can be a really interesting tool to grow research skills in tourism students. For this reason, it is key to understanding the students' perception of the usefulness of the videos used in class is key to identifying those resources that provide the most value and those that do not. In order to identify which ones are working better to accomplish our objective. Between 2018 and 2020, a multi-method investigation is carried out that includes survey techniques, discussion groups and interviews with students from different graduate programs in Ostetela Tourism Management School. Many authors, such as Castaño and Romero (2007) mention that the means to be used should not be perceived simply as technical elements, on the contrary they are didactic and communication elements. Along these lines, these and other authors consider that for a video to be didactic it must be produced (by the teacher) according to a series of criteria. Due to the characteristics of our students, external resources (mainly short videos speeches from key speakers) are used, and we understand that they are didactic not only if they help to understand the subject, but they can also help us to understand and simulate eventual professional situations. The provisional results show that the video is a much appreciated teaching resource. However, there is a great disparity in the perception of the students. Highlighting the video interview and the short video as resources that generate more added value. Visual content is increasingly present in classrooms. However, it is not always perceived as useful by students. The teacher must understand that not all resources generate positive impact on the student. Identifying which resources are appreciated as generators of added value is key to improving teaching quality.


Sign in / Sign up

Export Citation Format

Share Document