84 The Adoption of AI in the Core Scientific Cycle of Feed Research

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 42-43
Author(s):  
Marc Jacobs
Keyword(s):  
Near Infrared ◽  
Raw Materials ◽  
Information Management System ◽  
Net Energy ◽  
Energy Estimation ◽  
Feed Industry ◽  
The Core ◽  
Scenario Analyses ◽  
Hype Cycle ◽  
Sustainability Footprint

Abstract The Gartner Hype Cycle methodology highlights five self-explanatory steps through which a technological innovation needs to go: (1) innovation trigger, (2) peak of inflated expectations, (3) trough of disillusionment, (4) slope of enlightenment, and (5) plateau of productivity. It is between step 4 and 5 that any tech innovation really starts to commercially pay off. For Artificial Intelligence (AI), the possibilities and challenges are so diverse that several separate cycles now exist for distinct parts of AI development. For the Animal Sciences / Feed industry the application of AI is not straightforward. In fact, in most industries, application is not straightforward because applications equals implementation. Hence, being able to translate the pains and gains of your customer into the models that you create, and finding a way to implement it, is key and that is more than just applying AI. The majority of (animal) models in the feed industry are mechanistic by nature. Parameters are generated/updated via controlled experiments, and stochasticity is allowed via Monte Carlo simulations and scenario analyses. The validity of the model is its ability to provide usable growth/health predictions, enable least cost formulation, and provide a sustainability footprint. To further support such models, and to offer new services, we have recently begun to combine our near-infrared spectroscopy(NIR), laboratory information management system (LIMS) and mycotoxin databases with climate and geographic data to (1) predict the nutrient composition of raw materials over time, (2) enable risk assessment of mycotoxin co-contamination, (3) improve the feed evaluation of silages, (4) estimate a full nutrient profile, and (5) improve the precision of net energy estimation. In the end, if nurtured carefully, AI is just another technical leap that needs to be integrated into the core scientific cycle.

scholarly journals High-contrast and resolution near-infrared photometry of the core of R136

2021 ◽  
Vol 503 (1) ◽  
pp. 292-311
Author(s):  
Zeinab Khorrami ◽  
Maud Langlois ◽  
Paul C Clark ◽  
Farrokh Vakili ◽  
Anne S M Buckner ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Near Infrared ◽  
Outer Region ◽  
Mass Range ◽  
Mass Function ◽  
Large Magellanic Cloud ◽  
Star Forming ◽  
The Core ◽  
Very Large Telescope ◽  
30 Doradus

ABSTRACT We present the sharpest and deepest near-infrared photometric analysis of the core of R136, a newly formed massive star cluster at the centre of the 30 Doradus star-forming region in the Large Magellanic Cloud. We used the extreme adaptive optics of the SPHERE focal instrument implemented on the ESO Very Large Telescope and operated in its IRDIS imaging mode for the second time with longer exposure time in the H and K filters. Our aim was to (i) increase the number of resolved sources in the core of R136, and (ii) to compare with the first epoch to classify the properties of the detected common sources between the two epochs. Within the field of view (FOV) of 10.8″ × 12.1″ ($2.7\,\text {pc}\times 3.0\, \text {pc}$), we detected 1499 sources in both H and K filters, for which 76 per cent of these sources have visual companions closer than 0.2″. The larger number of detected sources enabled us to better sample the mass function (MF). The MF slopes are estimated at ages of 1, 1.5, and 2 Myr, at different radii, and for different mass ranges. The MF slopes for the mass range of 10–300 M⊙ are about 0.3 dex steeper than the mass range of 3–300 M⊙, for the whole FOV and different radii. Comparing the JHK colours of 790 sources common in between the two epochs, 67 per cent of detected sources in the outer region (r > 3″) are not consistent with evolutionary models at 1–2 Myr and with extinctions similar to the average cluster value, suggesting an origin from ongoing star formation within 30 Doradus, unrelated to R136.

scholarly journals Development and implementation of incident response near-infrared models for analyzing contaminated medicines containing diethylene glycol solvent

2014 ◽  
Vol 07 (06) ◽  
pp. 1450035
Author(s):  
Lihui Yin ◽  
Xuebo Zhang ◽  
Xiaodong Li ◽  
Shaohong Jin
Keyword(s):  
Propylene Glycol ◽  
Diethylene Glycol ◽  
Near Infrared ◽  
Raw Materials ◽  
Prediction Performance ◽  
Raw Material ◽  
Distilled Water ◽  
Incident Response ◽  
Quantification Model ◽  
Material Screening

Samples of preparations contaminated by diethylene glycol (DEG), diethylene glycol raw materials and laboratory prepared solutions were measured to get NIR spectra. Then the identification models were developed using the collected spectra and the spectra of distilled water, propylene glycol and the preparations without diethylene glycol. Besides, the quantification model was also established for determining the concentration of diethylene glycol in the preparations. Validation results show the identification and quantification models have ideal prediction performance. The emergency NIR models are rapid, easy to use and accurate, and can be implemented for identifying diethylene glycol raw material, screening the preparations contaminated by diethylene glycol in the markets and analyzing the concentrations of DEG.

Modeling of the Transition Layer in Ceramic Matrix Composites from Coal Wastes and Clay

2020 ◽  
Vol 299 ◽  
pp. 37-42
Author(s):  
O.A. Fomina ◽  
Andrey Yu. Stolboushkin
Keyword(s):  
Transition Layer ◽  
Raw Materials ◽  
Ceramic Matrix Composite ◽  
Ceramic Matrix Composites ◽  
Ceramic Matrix ◽  
Coal Waste ◽  
Matrix Composites ◽  
Carbonaceous Particles ◽  
The Core ◽  
Coal Wastes

A model of the transition layer between the shell and the core of a ceramic matrix composite from coal waste and clay has been developed. The chemical, granulometric and mineral compositions of the beneficiation of carbonaceous mudstones and clay were studied. The technological and ceramic properties of raw materials for the samples manufacturing were determined. The method of manufacturing multilayer ceramic samples from coal waste, clay and their mixture is given. The number of transition layers in the contact zone between the clay shell and the core from coal wastes is determined. The deformation and swelling phenomena of model samples from coal wastes, clay, and their mixtures were revealed at the firing temperature of more than 1000 °C. The formation of a reducing ambient in the center of the sample with insufficient air flow is shown. The influence of the carbonaceous particles amount and the ferrous form iron oxide in the coal wastes on the processes of expansion of multilayer samples during firing has been established.

scholarly journals Cooperation and tensions in multiethnic corporate societies using Teotihuacan, Central Mexico, as a case study

2015 ◽  
Vol 112 (30) ◽  
pp. 9210-9215 ◽  
Author(s):  
Linda R. Manzanilla
Keyword(s):  
Gulf Coast ◽  
Raw Materials ◽  
Volcanic Eruptions ◽  
Cotton Cloth ◽  
Central Mexico ◽  
Economic Power ◽  
Ruling Elite ◽  
Strong Ties ◽  
The Core

In this paper, I address the case of a corporate society in Central Mexico. After volcanic eruptions triggered population displacements in the southern Basin of Mexico during the first and fourth centuries A.D., Teotihuacan became a multiethnic settlement. Groups from different backgrounds settled primarily on the periphery of the metropolis; nevertheless, around the core, intermediate elites actively fostered the movement of sumptuary goods and the arrival of workers from diverse homelands for a range of specialized tasks. Some of these skilled craftsmen acquired status and perhaps economic power as a result of the dynamic competition among neighborhoods to display the most lavish sumptuary goods, as well as to manufacture specific symbols of identity that distinguished one neighborhood from another, such as elaborate garments and headdresses. Cotton attire worn by the Teotihuacan elite may have been one of the goods that granted economic importance to neighborhood centers such as Teopancazco, a compound that displayed strong ties to the Gulf Coast where cotton cloth was made. The ruling elite controlled raw materials that came from afar whereas the intermediate elite may have been more active in providing other sumptuary goods: pigments, cosmetics, slate, greenstone, travertine, and foreign pottery. The contrast between the corporate organization at the base and top of Teotihuacan society and the exclusionary organization of the neighborhoods headed by the highly competitive intermediate elite introduced tensions that set the stage for Teotihuacan’s collapse.

scholarly journals Trends of the energy and protein value of hylage from legumes in the Republic of Tatarstan

2021 ◽  
pp. 45-48
Author(s):  
Evgeny Olegovich Krupin ◽  
Marsel Sharipzyanovich Tagirov ◽  
Adelya Ayratovna Askarova
Keyword(s):  
Energy Level ◽  
Nutritional Value ◽  
Raw Materials ◽  
Net Energy ◽  
Average Value ◽  
Plant Raw Materials ◽  
Digestible Protein ◽  
The Republic ◽  
Perennial Legumes

The results of the analysis of the dynamics of energy and protein nutritional value of haylage from perennial legumes harvested from plant raw materials in the territory of the Republic of Tatarstan in the period from 1993 to 2018 are described. The long-term average value of the studied indicator was 9.52 MJ / kg, which is 5.54% higher than the norm. The highest content of exchangeable energy was noted in 1996 - 9.67 MJ / kg, which is 1.58% higher than the long-term average. The lowest content of exchangeable energy was established in 2009 (9.36 MJ / kg). The long-term average value of the net energy level of lactation was 1.96 MJ / kg, which is 9.68% higher than the norm. The maximum was observed in 2017 and amounted to 2.17 MJ / kg, and the minimum - in 2001 (1.65 MJ / kg), when it was 23.97% below the norm. It was found that the average long-term value of the level of digestible protein in haylage was 111.31 g / kg, which is 1.78% higher than the norm. The highest content of digestible protein was found in 2010 (17.21%). The smallest value was recorded a year earlier, in 2009 and amounted to 95.64 g / kg, which, respectively, is lower than the average long-term value and the value of the norm by 14.08 and 12.56%, respectively.

scholarly journals Characterization of dissimilar aluminum-copper material joining by controlled dual laser beam

2021 ◽  
Author(s):  
Joon Ho Cha ◽  
Hae Woon Choi
Keyword(s):  
Laser Beam ◽  
Power Distribution ◽  
Near Infrared ◽  
Weld Zone ◽  
Tensile Tests ◽  
Bead Width ◽  
Single Beam ◽  
The Core ◽  
Beam Laser ◽  
Dual Laser

Abstract Laser technology has many advantages in welding for the manufacture of EV battery packs. Aluminum (Al) and copper (Cu) are welded using a dual laser beam, suggesting the optimum power distribution for the core and ring beams. Due to the very high reflectance of Cu and Al exposed to near-infrared lasers, the material absorbs a very small amount of energy. Compared to single beam laser welding, dual beam welding has significantly improved surface quality by controlling surface solidification. The study focused on the quality of weld surface beads, weld properties and tensile strength by varying the output ratio of the core beam to the ring beam. Optimal conditions of Al6061 were a 700 W core beam, a 500 W ring beam and 200 mm/s of weld speed. For the C1020P, the optimum conditions were a center beam of 2500 W, a ring beam of 3000 W and a welding speed of 200 mm/s. In laser lap welding of Al-Al and Al-Cu, the bead width and the interfacial bead width of the joint increased as the output increased. The penetration depth did not change significantly, but small pores were formed at the interface of the junction. Tensile tests were performed to demonstrate the reliability of the weld zone, and computer simulations provided analysis of the heat distribution for optimal heat input conditions.

Reduction of nitrogen excretion by pigs between 20 and 50 kg live weight given low protein diets

1996 ◽  
Vol 1996 ◽  
pp. 149-149
Author(s):  
P.H. Simmins ◽  
J.P. Braund ◽  
A. Laurie ◽  
J. Pinasseau ◽  
J. Weigel
Keyword(s):  
Raw Materials ◽  
Amino Acid Content ◽  
Nitrogen Retention ◽  
Live Weight ◽  
Essential Amino Acids ◽  
Growing Pigs ◽  
Nitrogen Excretion ◽  
Total Amino Acid ◽  
Net Energy ◽  
Protein Levels

The potential reduction in nitrogenous excretion by growing pigs, through the reduction of protein levels in diets, has not been consistently achieved without compromising performance. This may have been due to inadequate formulation of the diets. Formulation on the basis of the total amino acid content of feed ingredients may limit the nitrogen retention, and hence the rate of protein accretion (Lee et al., 1993). Therefore, the objective of the experiment reported here was to evaluate the nitrogen balance of pigs fed diets at two levels of protein, formulated on the basis of true ileal digestibility of the essential amino acids (Rhône-Poulenc Animal Nutrition, 1993) and the net energy available from the raw materials (Noblet et al., 1994).

Comparative Study on Microencapsulated of Natural and Waste Sunflower Oil as Self-Healing Agent

2020 ◽  
Vol 1010 ◽  
pp. 439-444
Author(s):  
Zulkhibri Baharom ◽  
Maizlinda Izwana Idris ◽  
Tee Chuan Lee ◽  
Hasan Zuhudi Abdullah
Keyword(s):  
Sunflower Oil ◽  
Raw Materials ◽  
Metal Coating ◽  
Natural Material ◽  
Self Healing ◽  
Micro Structure ◽  
The Core ◽  
Core Content ◽  
Healing Agent ◽  
Alternative Resource

Microencapsulation of natural vegetable oil as a self-healing agent on metal coating became demanded lately. This paper underlines the microcapsule containing natural and wastes sunflower oil as a self-healing agent that was fabricated for the backbone of corrosion coatings. The results in this paper indicated the distinguished potential of waste sunflower oil as compared to natural sunflower oil. The diameter of microcapsules synthesized from natural sunflower oil and waste sunflower oil both in range of 3-4 µm. The shell of microcapsules microencapsulated from natural sunflower oil showed rough micro-structure while the shell of microcapsules microencapsulated from waste sunflower oil showed smooth micro-structure. The main parameter studied in this research was the varient of stirring speed during the process of microencapsulation. The involvement of stirring speed starts from 200 to 400 rpm. The microcapsules undergo varient of stirring speed analyzed on the yield and core content of microcapsules. The microcapsules from natural produced 29-50% while waste resources bring 26-48% of yield productions. The core content of microencapsulated natural sunflower oil generates 55-64% core content as comparing with waste sources which produce 56-67% of core content. It can be concluded that it was proved that sunflower oil could be considered as an alternative resource for self-healing agent in metal coating either encapsulated from natural or waste raw materials. The incorporation of green and natural material as a self-healing agent significantly influences the sustaining the environment to the safest stage.

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