scholarly journals iCROPM 2020: Crop Modeling for the Future

2021 ◽  
pp. 1-3
Author(s):  
Gerrit Hoogenboom ◽  
Eric Justes ◽  
Christoph Pradal ◽  
Marie Launay ◽  
Senthold Asseng ◽  
...  
Keyword(s):  
Model Development ◽  
Cropping System ◽  
Crop Modeling ◽  
Great Opportunity ◽  
Practical Applications ◽  
Research Education ◽  
Crop Models ◽  
The Future ◽  
System Functioning ◽  
Development Evaluation

Abstract During the past decade, the interest in using crop models for research, education, extension, outreach and in the private sector has rapidly increased. The iCROPM 2020 Symposium entitled ‘Crop Modeling for the Future’, held in February 2020, therefore, provided a great opportunity for over 400 scientists from 50 different countries to exchange information on crop model development, evaluation with experimental data and implementation. A key outcome was the understanding that crop models simulate the dynamics of the soil-plant-atmosphere continuum. Thus, the models can be used for a quantitative and multi-criteria assessment of cropping system functioning, agronomic performance and environmental impact. This should result in more practical applications that can provide actionable information for stakeholders.

The Next Generation of Cognitive Modeling Tools: Opportunities, Challenges and Basic Needs

2007 ◽  
Vol 51 (12) ◽  
pp. 799-801
Author(s):  
Michael L. Bernard ◽  
J. Chris Forsythe ◽  
Laurel Allender ◽  
Joseph Cohn ◽  
Gabriel Radvansky ◽  
...  
Keyword(s):  
Cognitive Modeling ◽  
Model Development ◽  
Cognitive Model ◽  
Human Cognition ◽  
Next Generation ◽  
Wide Spread ◽  
Modeling Tools ◽  
Practical Applications ◽  
The Past ◽  
The Future

In the past twenty or so years the scientific community has made impressive advancements in the modeling and simulation of general human cognition. This progress has led to the beginnings of wide-spread applications and use. In fact, we are now at a point where the community can begin to make fairly accurate predictions as to how this technology will be used in the next twenty–plus years. Accordingly, the purpose of this panel is to engage the community at large regarding the future needs and requirements associated with building cognitive models for various scientific and engineering endeavors. Specifically, this panel will discuss and make recommendations with regard to the future functionality of cognitive modeling that could be encompassed in next-generation capabilities. To do this, we will concentrate on four different domain areas. These are: academic use of cognitive modeling, cognitive model development, neuroscience-related issues, and practical applications of cognitive modeling.

scholarly journals Alternatives to and Reduction of Animal Use in Biomedical Research, Education and Testing

1990 ◽  
Vol 18 (1_part_1) ◽  
pp. 65-74
Author(s):  
John M. Frazier ◽  
Alan M. Goldberg
Keyword(s):  
Biomedical Research ◽  
Toxicity Testing ◽  
Research Education ◽  
New Methods ◽  
New Approaches ◽  
The Future ◽  
Technological Developments ◽  
Animal Use ◽  
Do So

Biomedical endeavours can be divided into three major categories: research, education, and testing. Within the context of each of these categories, activities involving whole animals have made major contributions and will continue to do so in the future. However, with technological developments in the areas of biotechnology and computers, new methods are already reducing the use of whole animals in certain areas. This article discusses the general issues of alternatives and then focuses on the development of new approaches to toxicity testing.

scholarly journals Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

2021 ◽  
Vol 13 (14) ◽  
pp. 7737
Author(s):  
Amin Soltani ◽  
Mahdieh Azimi ◽  
Brendan C. O’Kelly
Keyword(s):  
Energy Levels ◽  
Model Development ◽  
Dry Mass ◽  
Unit Weight ◽  
Power Functions ◽  
Compaction Characteristics ◽  
Practical Applications ◽  
Fine Grained ◽  
Practical Procedure ◽  
Fine Grained Soil

This study aims at modeling the compaction characteristics of fine-grained soils blended with sand-sized (0.075–4.75 mm) recycled tire-derived aggregates (TDAs). Model development and calibration were performed using a large and diverse database of 100 soil–TDA compaction tests (with the TDA-to-soil dry mass ratio ≤ 30%) assembled from the literature. Following a comprehensive statistical analysis, it is demonstrated that the optimum moisture content (OMC) and maximum dry unit weight (MDUW) for soil–TDA blends (across different soil types, TDA particle sizes and compaction energy levels) can be expressed as universal power functions of the OMC and MDUW of the unamended soil, along with the soil to soil–TDA specific gravity ratio. Employing the Bland–Altman analysis, the 95% upper and lower (water content) agreement limits between the predicted and measured OMC values were, respectively, obtained as +1.09% and −1.23%, both of which can be considered negligible for practical applications. For the MDUW predictions, these limits were calculated as +0.67 and −0.71 kN/m3, which (like the OMC) can be deemed acceptable for prediction purposes. Having established the OMC and MDUW of the unamended fine-grained soil, the empirical models proposed in this study offer a practical procedure towards predicting the compaction characteristics of the soil–TDA blends without the hurdles of performing separate laboratory compaction tests, and thus can be employed in practice for preliminary design assessments and/or soil–TDA optimization studies.

122 A Mechanistic Model of Growth and Amino Acid Deposition in the Pregnant Sow: Model Development, Evaluation, and Application

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 55-56
Author(s):  
Christian D Ramirez-Camba ◽  
Crystal L Levesque
Keyword(s):  
Weight Gain ◽  
Amino Acid ◽  
Mechanistic Model ◽  
Model Development ◽  
Allantoic Fluid ◽  
Late Gestation ◽  
Maternal Body ◽  
Proposed Model ◽  
Development Evaluation ◽  
Model Weight

Abstract A mechanistic model was developed with the objective to characterize weight gain and essential amino acid (EAA) deposition in the different tissue pools that make up the pregnant sow: placenta, allantoic fluid, amniotic fluid, fetus, uterus, mammary gland, and maternal body were considered. The data used in this modelling approach were obtained from published scientific articles reporting weights, crude protein (CP), and EAA composition in the previously mentioned tissues; studies reporting not less than 5 datapoints across gestation were considered. A total of 12 scientific articles published between 1977 and 2020 were selected for the development of the model and the model was validated using 11 separate scientific papers. The model consists of three connected sub-models: protein deposition (Pd) model, weight gain model, and EAA deposition model. Weight gain, Pd, and EAA deposition curves were developed with nonparametric statistics using splines regression. The validation of the model showed a strong agreement between observed and predicted growth (r2 = 0.92, root mean square error = 3%). The proposed model also offered descriptive insights into the weight gain and Pd during gestation. The model suggests that the definition of time-dependent Pd is more accurately described as an increase in fluid deposition during mid-gestation coinciding with a reduction in Pd. In addition, due to differences in CP composition between pregnancy-related tissues and maternal body, Pd by itself may not be the best measurement criteria for the estimation of EAA requirement in pregnant sows. The proposed model also captures the negative maternal Pd that occurs in late gestation and indicates that litter size influences maternal tissue mobilization more than parity. The model predicts that the EAA requirements in early and mid-gestation are 75, 55 and 50% lower for primiparous sows than parity 2, 3 and 4+ sows, respectively, which suggest the potential benefits of parity segregated feeding.

The Practical Applications of Artificial Intelligence and the Future of ViEW

2021 ◽  
Vol 87 (10) ◽  
pp. 783-786
Author(s):  
Kunihito KATO ◽  
Masashi NISHIYAMA ◽  
Ryosuke KAWANISHI ◽  
Hirokatsu KATAOKA
Keyword(s):  
Artificial Intelligence ◽  
Practical Applications ◽  
The Future

NUSANTARA PRA ISLAM: Prediksi Masa Depan Islam di Indonesia

2021 ◽  
Vol 2 (01) ◽  
pp. 87-108
Author(s):  
Santosa Santosa
Keyword(s):  
Early Stage ◽  
Economics Education ◽  
Future Prospects ◽  
Great Opportunity ◽  
The World ◽  
The Future ◽  
History Of ◽  
To Come ◽  
Political Economic ◽  
Historical Flow

Looking at the historical flow of Islamic development in Indonesia as such, the author took an analysis that the future prospects of Islam in Indonesia have a great opportunity to continue to develop, be it in the fields of politics, economics, education, social, and culture. This can be seen from the history of Islam in Indonesia that continues to develop until now, this is the early stage of the emergence of awareness of the Indonesian nation of the importance of planting religious values in Indonesian society so that the Indonesian nation can meet the future not only with science and technology but also in the balance by IMTAQ.  The era of globalization in the 21st century that has begun at this time, Islam in Indonesia has apparently exerted a huge influence on the advancement of Islam in the world. Although the existence of Islam today is really faced with a fairly severe challenge that requires the involvement of various parties concerned. With regard to this, strategic efforts need to be made, among others: by providing knowledge, skills, and piety in all fields (religious, political, economic, social, cultural, educational) so as to give birth to creative, innovative, independent and productive people considering the world to come is a competitive world. Keywords: Islam, The Future, Indonesia

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