Relevant bibliographies by topics / AgRP neuron

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AgRP neuron'

Author: Grafiati
Published: 2 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "AgRP neuron"

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Oh, Youjin, Eun-Seon Yoo, Sang Hyeon Ju, et al. "GIRK2 potassium channels expressed by the AgRP neurons decrease adiposity and body weight in mice." PLOS Biology 21, no. 8 (2023): e3002252. http://dx.doi.org/10.1371/journal.pbio.3002252.

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It is well known that the neuropeptide Y (NPY)/agouti-related peptide (AgRP) neurons increase appetite and decrease thermogenesis. Previous studies demonstrated that optogenetic and/or chemogenetic manipulations of NPY/AgRP neuronal activity alter food intake and/or energy expenditure (EE). However, little is known about intrinsic molecules regulating NPY/AgRP neuronal excitability to affect long-term metabolic function. Here, we found that the G protein-gated inwardly rectifying K+ (GIRK) channels are key to stabilize NPY/AgRP neurons and that NPY/AgRP neuron-selective deletion of the GIRK2 s
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Klima, Michelle, Amber Alhadeff, Kayla Kruger, Santiago Pulido, Aaron McKnight, and J. Nicholas Betley. "A Neural Circuit for the Suppression of Peripheral Inflammation by Hunger." Journal of Immunology 204, no. 1_Supplement (2020): 228.23. http://dx.doi.org/10.4049/jimmunol.204.supp.228.23.

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Abstract Hunger is a primal biological drive that can initiate behavioral changes. Intuitively, hunger can inhibit behaviors such as sleep while simultaneously promoting foraging. Because pain can prevent an animal from seeking food we questioned if hunger could suppress pain. We found that food deprived mice reduce their response to inflammatory nociceptive stimuli. This reduction in nocifensive behavior during hunger is specific to inflammatory pain as the response to acute thermal and mechanical nociceptive stimuli remains intact. During hunger, agouti-related protein expressing (AgRP) neur
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Lin, Chiu-Ya, Kun-Yun Yeh, Hsin-Hung Lai, and Guor Mour Her. "AgRP Neuron-Specific Ablation Represses Appetite, Energy Intake, and Somatic Growth in Larval Zebrafish." Biomedicines 11, no. 2 (2023): 499. http://dx.doi.org/10.3390/biomedicines11020499.

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Neuronal circuits regulating appetite are dominated by arcuate nucleus neurons, which include appetite-promoting and -suppressing neurons that release the orexigenic neuropeptide agouti-related protein (AgRP) and anorexigenic neuropeptide pro-opiomelanocortin, respectively, to compete for melanocortin receptors to modulate feeding behavior. In this study, we expressed novel agrp promoters, including different lengths of the 5’ flanking regions of the agrp gene (4749 bp) in the zebrafish genome. We used the agrp promoter to derive the enhanced green fluorescent protein (EGFP)-nitroreductase (NT
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van de Wall, Esther, Rebecca Leshan, Allison W. Xu, et al. "Collective and Individual Functions of Leptin Receptor Modulated Neurons Controlling Metabolism and Ingestion." Endocrinology 149, no. 4 (2007): 1773–85. http://dx.doi.org/10.1210/en.2007-1132.

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Two known types of leptin-responsive neurons reside within the arcuate nucleus: the agouti gene-related peptide (AgRP)/neuropeptide Y (NPY) neuron and the proopiomelanocortin (POMC) neuron. By deleting the leptin receptor gene (Lepr) specifically in AgRP/NPY and/or POMC neurons of mice, we examined the several and combined contributions of these neurons to leptin action. Body weight and adiposity were increased by Lepr deletion from AgRP and POMC neurons individually, and simultaneous deletion in both neurons (A+P LEPR-KO mice) further increased these measures. Young (periweaning) A+P LEPR-KO
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Padilla, Stephanie L., Jian Qiu, Casey C. Nestor, et al. "AgRP to Kiss1 neuron signaling links nutritional state and fertility." Proceedings of the National Academy of Sciences 114, no. 9 (2017): 2413–18. http://dx.doi.org/10.1073/pnas.1621065114.

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Mammalian reproductive function depends upon a neuroendocrine circuit that evokes the pulsatile release of gonadotropin hormones (luteinizing hormone and follicle-stimulating hormone) from the pituitary. This reproductive circuit is sensitive to metabolic perturbations. When challenged with starvation, insufficient energy reserves attenuate gonadotropin release, leading to infertility. The reproductive neuroendocrine circuit is well established, composed of two populations of kisspeptin-expressing neurons (located in the anteroventral periventricular hypothalamus, Kiss1AVPV, and arcuate hypoth
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Na, Junewoo, Byong Seo Park, Doohyeong Jang, et al. "Distinct Firing Activities of the Hypothalamic Arcuate Nucleus Neurons to Appetite Hormones." International Journal of Molecular Sciences 23, no. 5 (2022): 2609. http://dx.doi.org/10.3390/ijms23052609.

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The hypothalamic arcuate nucleus (Arc) is a central unit that controls the appetite through the integration of metabolic, hormonal, and neuronal afferent inputs. Agouti-related protein (AgRP), proopiomelanocortin (POMC), and dopaminergic neurons in the Arc differentially regulate feeding behaviors in response to hunger, satiety, and appetite, respectively. At the time of writing, the anatomical and electrophysiological characterization of these three neurons has not yet been intensively explored. Here, we interrogated the overall characterization of AgRP, POMC, and dopaminergic neurons using g
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Fang, Xing, Shujun Jiang, Jiangong Wang, et al. "Chronic unpredictable stress induces depression-related behaviors by suppressing AgRP neuron activity." Molecular Psychiatry 26, no. 6 (2021): 2299–315. http://dx.doi.org/10.1038/s41380-020-01004-x.

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AbstractPrevious studies have shown that AgRP neurons in the arcuate nucleus (ARC) respond to energy deficits and play a key role in the control of feeding behavior and metabolism. Here, we demonstrate that chronic unpredictable stress, an animal model of depression, decreases spontaneous firing rates, increases firing irregularity and alters the firing properties of AgRP neurons in both male and female mice. These changes are associated with enhanced inhibitory synaptic transmission and reduced intrinsic neuronal excitability. Chemogenetic inhibition of AgRP neurons increases susceptibility t
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Huang, Hu, Seung Hwan Lee, Chianping Ye, et al. "ROCK1 in AgRP Neurons Regulates Energy Expenditure and Locomotor Activity in Male Mice." Endocrinology 154, no. 10 (2013): 3660–70. http://dx.doi.org/10.1210/en.2013-1343.

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Normal leptin signaling is essential for the maintenance of body weight homeostasis. Proopiomelanocortin- and agouti-related peptide (AgRP)-producing neurons play critical roles in regulating energy metabolism. Our recent work demonstrates that deletion of Rho-kinase 1 (ROCK1) in the AgRP neurons of mice increased body weight and adiposity. Here, we report that selective loss of ROCK1 in AgRP neurons caused a significant decrease in energy expenditure and locomotor activity of mice. These effects were independent of any change in food intake. Furthermore, AgRP neuron-specific ROCK1-deficient m
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Liu, Yang, Ying Huang, Tiemin Liu, Hua Wu, Huxing Cui, and Laurent Gautron. "Lipopolysacharide Rapidly and Completely Suppresses AgRP Neuron-Mediated Food Intake in Male Mice." Endocrinology 157, no. 6 (2016): 2380–92. http://dx.doi.org/10.1210/en.2015-2081.

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Although Agouti-related peptide (AgRP) neurons play a key role in the regulation of food intake, their contribution to the anorexia caused by proinflammatory insults has yet to be identified. Using a combination of neuroanatomical and pharmacogenetics experiments, this study sought to investigate the importance of AgRP neurons and downstream targets in the anorexia caused by the peripheral administration of a moderate dose of lipopolysaccharide (LPS) (100 μg/kg, ip). First, in the C57/Bl6 mouse, we demonstrated that LPS induced c-fos in select AgRP-innervated brain sites involved in feeding bu
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Coutinho, Eulalia A., Melanie Prescott, Sabine Hessler, Christopher J. Marshall, Allan E. Herbison, and Rebecca E. Campbell. "Activation of a Classic Hunger Circuit Slows Luteinizing Hormone Pulsatility." Neuroendocrinology 110, no. 7-8 (2019): 671–87. http://dx.doi.org/10.1159/000504225.

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Introduction: The central regulation of fertility is carefully coordinated with energy homeostasis, and infertility is frequently the outcome of energy imbalance. Neurons in the hypothalamus expressing neuropeptide Y and agouti-related peptide (NPY/AgRP neurons) are strongly implicated in linking metabolic cues with fertility regulation. Objective: We aimed here to determine the impact of selectively activating NPY/AgRP neurons, critical regulators of metabolism, on the activity of luteinizing hormone (LH) pulse generation. Methods: We employed a suite of in vivo optogenetic and chemogenetic a
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Dissertations / Theses on the topic "AgRP neuron"

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Qu, Mengdi. "Molecular mechanism underlying CaMK1D-dependent function in AgRP neurons." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAJ029.

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La perturbation des mécanismes de réponse au stress chez les organismes peut entraîner une dysfonction cellulaire et des maladies telles que le syndrome métabolique. L'équilibre énergétique est principalement régulé par le système nerveux central (SNC), qui intègre des signaux hormonaux, neuronaux et alimentaires provenant de divers tissus. Une dysfonction de ce système est liée à l'obésité et au syndrome métabolique, qui sont tous deux des précurseurs du diabète de type 2 (T2D). Notre laboratoire a découvert que la protéine kinase ID dépendante du calcium/calmoduline (CaMK1D), un gène associé
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Zagmutt, Caroca Sebastián. "Analysis of the in vivo effect of carnitine palmitoyltransferase 1A deletion in AgRP neurons." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/671758.

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Food intake and whole-body energy balance are regulated by the brain through a sophisticated neuronal network located mostly in the hypothalamus. In particular, the hypothalamic arcuate nucleus (ARC) is a fundamental sensor for the hormones and nutrients that inform about the energy state of the organism. The ARC contains two populations of neurons with opposite functions: anorexigenic proopiomelanocortin (POMC)-expressing neurons and orexigenic Agouti-related protein (AgRP)- expressing neurons. Activation of AgRP neurons leads to an increase in food intake and a decrease in energy expenditur
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Huang, Cao Zhen Fang. "Neuronal circuits and reinforcement mechanisms underlying feeding behaviour." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/247221.

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Animal survival depends on the brain’s ability to detect the energetic state of the body and to alter behaviour in order to maintain homeostasis. Current research in the control of food consumption stresses the importance of identifying and establishing the specific roles of homeostatic neurons, which sense the body’s energetic state and elicit complex and flexible food seeking behaviours. Recent developments in optogenetics, molecular genetics, and anatomical techniques have made these investigations possible at the resolution of specific cell types and circuits. These neurons are of particul
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Ramírez, Flores Sara. "Hypothalamic Ceramide Levels regulated by CPT1C mediate the Orexigenic effect of Ghrelin." Doctoral thesis, Universitat Internacional de Catalunya, 2014. http://hdl.handle.net/10803/276184.

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Recent data suggest that ghrelin exerts its orexigenic action through regulation of hypothalamic AMP-activated protein kinase pathway, leading to a decline in malonyl-CoA levels and desinhibition of carnitine palmitoyltransferase 1A (CPT1A), which increases mitochondrial fatty acid oxidation and ultimately enhances the expression of the orexigenic neuropeptides agouti-related protein (AgRP) and neuropeptide Y (NPY). However, it is unclear whether the brain-specific isoform CPT1C, which is located in the endoplasmic reticulum of neurons, may play a role in this action. Here, we demonstrate that
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Haverty, Maureen. "The microstructure, texture and thermal expansion of nuclear graphite." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/the-microstructure-texture-and-thermal-expansion-of-nuclear-graphite(5fef7053-d4ca-42b8-a203-d5b2e6d5bedc).html.

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It is proposed to continue operating the graphite moderated Advanced Gas-cooled Reactor (AGR) fleet past its design life. Nuclear graphite's properties change in reactor and our limited mechanistic understanding of the relationship between graphite structure, across different lengthscales, and its properties limits our ability to predict its future behaviour. An improved understanding of the relationship between graphite's structural features, the relationship between features across different lengthscales and their effect on material properties would all contribute to a mechanistic understand
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Buccarello, L. "EFFECTS OF DIFFERENT DIETS IN A MOUSE MODEL OF NEURODEGENERATIVE DISEASE." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/339393.

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Effects of different diets in a mouse model of neurodegeneration Abstract Tauopathies are neurodegenerative disorders characterized by the accumulation of abnormal Tau protein leading to cognitive and/or motor dysfunction; several studies suggest that dietary manipulations are increasingly viewed as possible approaches to treating neurodegenerative diseases. The mouse model chosen for this study was P301L; mice expressing P301L mutant Tau mimics features of human tauopathies and provides a model for investigating the neuropathogenesis of diseases. In this study we investigate at 7 and 15 m
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Mascanzoni, Elisa. "Epidemiology of herbicide resistance evolution in rice weeds and variability in Echinochloa spp." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3425887.

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Resistance issues has geometrically increased in the last ten years and now are affecting the production of all most important crops worldwide. Italy is the first European rice producer with about 230,000 ha cultivate mostly in the north west of the Po Valley. To date six weeds have evolved resistance in this crop, among these the most troublesome is Echinochloa spp. Two main purposes were followed in the research: first it was performed an epidemiological study at a scale as large as the main rice area, second a classification study was done on Echinochloa spp. including a dose response exper
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Mesaros, Andrea [Verfasser]. "Activation of Stat3 signaling in AgRP neurons promotes locomotor activity / vorgelegt von Andrea Mesaros." 2008. http://d-nb.info/989800385/34.

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Books on the topic "AgRP neuron"

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IEEE International Workshop on Cellular Neural Networks and Their Applications. (1990 Budapest, Hungary). 1990 IEEE International Workshop on Cellular Neural Networks and Their applications, CNNA-90: Proceedings : Hotel Agro, Budapest, Hungary, December 16-19, 1990. Institute of Electrical and Electronics Engineers, 1990.

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Wójcik-Gładysz, Anna. Ghrelin – hormone with many faces. Central regulation and therapy. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_awg_2020.

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Discovered in 1999, ghrelin, is one of the peptides co-creating the hypothalamicgastrointestinal axis, otherwise known as the brain-gut axis. Ghrelin participates in many physiological processes and spectrum of its activity is still being discovered. This 28 amino acid peptide ‒ a product of the ghrl gene, was found in all vertebrates and is synthesized and secreted mainly from enteroendocrine X/A cells located in the gastric mucosa of the stomach. Expression of the ghrelin receptor has been found in many nuclei of the hypothalamus involved in appetite regulation. Therefore it’s presumed that
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Book chapters on the topic "AgRP neuron"

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Huang, Cong, Huiping Lin, and Yuhan Xiao. "AGRP: A Fused Aspect-Graph Neural Network for Rating Prediction." In Neural Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92273-3_49.

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Han, Yong, Guobin Xia, and Qi Wu. "Functional Interrogation of the AgRP Neural Circuits in Control of Appetite, Body Weight, and Behaviors." In Advances in Experimental Medicine and Biology. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1286-1_1.

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Shamiul Islam, Md, Ummya Habiba, Md Abu Baten, Nazrul Amin, Imrus Salehin, and Tasmia Tahmida Jidney. "Hybrid Convolution Neural Network with Transfer Learning Approach for Agro-Crop Leaf Disease Identification." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24475-9_18.

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Hong, Yiling. "Impact of Silver Nanoparticles on Neurodevelopment and Neurodegeneration." In Neurotoxicity - New Advances. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101723.

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Silver nanoparticles (AgNPs) are one of the most highly commercialized nanoparticles, having been used extensively as an antimicrobial agent in cosmetics, textiles, foods, and the treatment of diseases. However, the impact of AgNPs on human mental health has not yet been well characterized. Using the human pluripotent stem cell (hPSC) neuronal differentiation cellular model to assess AgNPs neurotoxicity has several benefits. First, hPSCs neuronal differentiation process can faithfully recapitulate stages of neural development from neuronal progenitors to mature neurons which can provide an exc
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Thiel, D. "AN INTERACTIVE NEURAL NETWORK FOR ANALYSING THE FOOD CONSUMER BEHAVIOUR STABILITY." In Agri-Food Quality II. Elsevier, 1999. http://dx.doi.org/10.1533/9781845698140.2.40.

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Naidu, Diwakar, Babita Majhi, and Surendra Kumar Chandniha. "Development of Rainfall Prediction Models Using Machine Learning Approaches for Different Agro-Climatic Zones." In Advances in Data Mining and Database Management. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6659-6.ch005.

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This study focuses on modelling the changes in rainfall patterns in different agro-climatic zones due to climate change through statistical downscaling of large-scale climate variables using machine learning approaches. Potential of three machine learning algorithms, multilayer artificial neural network (MLANN), radial basis function neural network (RBFNN), and least square support vector machine (LS-SVM) have been investigated. The large-scale climate variable are obtained from National Centre for Environmental Prediction (NCEP) reanalysis product and used as predictors for model development.
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Suganyadevi, S., D. Shamia, R. Arun Sekar, and R. Deepa. "Automated diagnosis of disease in grape leaves using deep neural networks." In Agri 4.0 and the Future of Cyber-Physical Agricultural Systems. Elsevier, 2024. http://dx.doi.org/10.1016/b978-0-443-13185-1.00014-9.

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Kambo, Rubi, Jyothi Pillai, and Sunita Soni. "ENHANCING AGRICULTURE COMMODITY PRICE FORECASTING: INTEGRATION OF DEEP LEARNING AND SOFT COMPUTING TECHNIQUES FOR ECONOMIC, FARMER, AND INDUSTRY PERSPECTIVES." In Futuristic Trends in Computing Technologies and Data Sciences Volume 3 Book 8. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkct8p2ch4.

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Forecasting the price of agriculture commodities such as vegetables, fruits, cereals etc. is important related to economic concerned, farmer perspective, Agriculturist and Industrialist. Price forecasting contributes to agricultural producers and all others agro audiences in making sound choices regarding the mandi price, or the retail cost, for their commodity in addition to what crop is most profitable for cultivation with the goal to earn the greatest returns. The result ultimately boosts the circumstance and income for agricultural producers meanwhile also assisting government officials in
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Madhuri J. and Indiramma M. "Big Data Analytics-Based Agro Advisory System for Crop Recommendation Using Spark Platform." In Advances in Business Information Systems and Analytics. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7105-0.ch012.

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The advancements in science and technology have led to the generation of colossal data in the agricultural sector as a result of which has entered the world of big data. Big data analytics is the solution to store and analyze such large amounts of data to improve productivity in agricultural practices. Hence, the purpose of this research work is to develop a big data recommendation framework that enables farmers to choose the right crops considering the location-specific parameters. The location-specific weather parameters, soil parameters crop characteristics, and demand for the agricultural
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N.S. Sampaio, Pedro, and Carla Brites. "Near-Infrared Spectroscopy and Machine Learning: Analysis and Classification Methods of Rice." In Rice [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99017.

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Nowadays, the conventional biochemical methods used to differentiate and characterize rice types, biochemical properties, authentication, and contamination issues are difficult to implement due to the high cost of reagents, time requirement and environmental issues. Actually, the success of agri-food technology is directly related to the quality of analysis of experimental data acquired by sensors or techniques such as the infrared-spectroscopy. To overcome these technical limitations, a rapid and non-destructive methodology for discrimination and classification of rice has been investigated.
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Conference papers on the topic "AgRP neuron"

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Ma, Yuyang, Chao Yang, Haixiang Guan, Jingyue Xu, and Chuli Hu. "Prediction of Soil Organic Matter in Black Soil Region Based on BP Neural Network with Genetic Algorithm Variable Selection." In 2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2024. http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660717.

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Nurhasanah, Nunung, Anissa Noviyanti, Budi Aribowo, et al. "Analysis of Demand Forecasting in Upstream and Midstream Supply Chain Network of Sunflower Agro-industry Using Artificial Neural Networks." In 2024 International Conference on Advanced Information Scientific Development (ICAISD). IEEE, 2024. https://doi.org/10.1109/icaisd63055.2024.10895853.

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a, Zeyu, and Zheyu Ji a. "A Novel Bayesian Framework for Inverse Problems in Precision Agriculture." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.113662.

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An essential problem in precision agriculture is to accurately model and predict root-zone (top 1 m of soil) soil moisture profile given soil properties and precipitation and evapotranspiration information. This is typically achieved by solving agro-hydrological models. Nowadays, most of these models are based on the standard Richards equation (RE), a highly nonlinear, degenerate elliptic-parabolic partial differential equation that describes irrigation, precipitation, evapotranspiration, runoff, and drainage through soils. Recently, the standard RE has been generalized to time-fractional RE w
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Song, Zeyuan, and Zheyu Jiang. "A Physics-based, Data-driven Numerical Framework for Anomalous Diffusion of Water in Soil." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.163304.

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Precision modeling and forecasting of soil moisture are essential for implementing smart irrigation systems and mitigating agricultural drought. Most agro-hydrological models are based on the standard Richards equation, a highly nonlinear, degenerate elliptic-parabolic partial differential equation (PDE) with first order time derivative. However, research has shown that standard Richards equation is unable to model preferential flow in soil with fractal structure. In such a scenario, the soil exhibits anomalous non-Boltzmann scaling behavior. Incorporating the anomalous non-Boltzmann scaling b
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Patlis, AsiaLuna. "Cellular and molecular effects of weight stigma: The effect of cortisol on hypothalamic neurons in vitro." In 10th Annual International Weight Stigma Conference. Weight Stigma Conference, 2024. https://doi.org/10.31076/2024.p22.

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Weight stigma has been associated with changes to the stress-responsive hypothalamic-pituitary-adrenocortical (HPA) axis. Chronic activation of the HPA axis leads to elevated levels of circulating glucocorticoids such as cortisol. This poster will show a project proposal to study the cellular and molecular effects of cortisol on human arcuate-like hypothalamic neurons in vitro. The arcuate nucleus of the hypothalamus (ARC) is involved in the homeostatic regulation of body weight and feeding. The ARC is home to two important neuronal populations: proopiomelanocortin (POMC) and agouti-related ne
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Yalcin, Hulya, and Salar Razavi. "Plant classification using convolutional neural networks." In 2016 5th International Conference on Agro-geoinformatics (Agro-geoinformatics). IEEE, 2016. http://dx.doi.org/10.1109/agro-geoinformatics.2016.7577698.

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Chang, Gray S., Blaine Grover, John T. Maki, and Misti A. Lillo. "The Feasibility Study of AGR 7-Position Fuel Testing Assembly in NEFT Position." In Fourth International Topical Meeting on High Temperature Reactor Technology. ASMEDC, 2008. http://dx.doi.org/10.1115/htr2008-58098.

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In order to support the Next Generation Nuclear Plant (NGNP) Program 2018 deployment schedule, the Advanced Gas Reactor (AGR) Fuel Development and Qualification Program must reduce the AGR fuel irradiation testing time in the Advanced Test Reactor (ATR) from approximately 2 1/2 calendar years to 1 1/2 calendar years. The AGR fuel irradiation testing requirements are: (a) burn-up of at least 14% FIMA; (b) Fast neutron fluence (E > 0.18 MeV) – maximum < 5.1 × 1025 n/m2; (c) limit of fission power density is 350 W/cc; and (d) irradiation time < 1 1/2 calendar years. The accel
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Leng, Chuang, Shanzhen Yi, and Wenhao Xie. "Estimation of rainfall based on MODIS using neural networks." In 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019. http://dx.doi.org/10.1109/agro-geoinformatics.2019.8820239.

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Askanian, Haroutioun, Ottavio Novello, Christian Coelho, Sophie Commereuc, and Vincent Verney. "Application of agro-wastes for bio-composite materials." In THE SECOND ICRANET CÉSAR LATTES MEETING: Supernovae, Neutron Stars and Black Holes. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4937321.

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Rudoy, D. V., V. V. Chigvintsev, A. V. Olshevskaya, M. Yu Odabashyan, D. Yu Donskoy, and E. A. Ivliev. "USING NEURAL NETWORKS FOR AGROCHEMICAL SOIL ANALYSIS." In International Forum "Youth in Agricultural Sector". ДГТУ-Принт, 2024. https://doi.org/10.23947/young.2024.107-109.

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In a neural network, it is possible, based on the analysis of several million photographs, to teach in a few milliseconds to distinguish cultivated crops from weeds. By analyzing the effectiveness of herbicides, the neural network is able to make the right decisions to reduce crop contamination. A neural network can distinguish a healthy plant from a sick one. The system is able to determine the degree of threat to future crops and suggest ways to solve the problem. In the agro-industrial complex of the Russian Federation, there are a large number of tasks that can be solved using artificial i
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Reports on the topic "AgRP neuron"

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Gothilf, Yoav, Roger Cone, Berta Levavi-Sivan, and Sheenan Harpaz. Genetic manipulations of MC4R for increased growth and feed efficiency in fish. United States Department of Agriculture, 2016. http://dx.doi.org/10.32747/2016.7600043.bard.

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The hypothalamic melanocortin system plays a central role in the regulation of food consumption and energy homeostasis in mammals. Accordingly, our working hypothesis in this project was that genetic editing of the mc4r gene, encoding Melanocortin Receptor 4 (MC4R), will enhance food consumption, feed efficiency and growth in fish. To test this hypothesis and to assess the utility of mc4r editing for the enhancement of feed efficiency and growth in fish, the following objectives were set: Test the effect of the mc4r-null allele on feeding behavior, growth, metabolism and survival in zebrafish.
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Walker, Billy, and Michael Reichenberger. MEASURED THERMAL AND FAST NEUTRON FLUENCE RATES ATR CYCLES 167A AGR. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1688702.

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Walker, Billy, and Michael Reichenberger. MEASURED THERMAL AND FAST NEUTRON FLUENCE RATES ATR CYCLES 168A AGR. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/2376855.

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Smith, Larry, and Michael Reichenberger. MEASURED THERMAL AND FAST NEUTRON FLUENCE RATES FOR AGR HOLDERS DURING CYCLE 166B. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/2370096.

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