|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Paternal physical exercise modulates global DNA methylation status in the hippocampus of male rat offspring显示文摘It is widely known that maternal physical exercise is able to induce beneficial improvements in offspring cognition; however, the effects of paternal exercise have not been explored in detail. The present study was designed to evaluate the impact of paternal physical exercise on memory and learning, neuroplasticity and DNA methylation levels in the hippocampus of male offspring. Adult male Wistar rats were divided into two groups: sedentary or exercised fathers. The paternal preconception exercise protocol consisted of treadmill running, 20 minutes daily, 5 consecutive days per week for 22 days, while the mothers were not trained. After mating, paternal sperm was collected for global DNA methylation analysis. At postnatal day 53, the offspring were euthanized, and the hippocampus was dissected to measure cell survival by 5-bromo-2′-deoxiuridine and to determine the expression of synaptophysin, reelin, brain-derived neurotrophic factor and global DNA methylation levels. To measure spatial memory and learning changes in offspring, the Morris water maze paradigm was used. There was an improvement in spatial learning, as well as a significant decrease in hippocampal global DNA methylation levels in the offspring from exercised fathers compared with those from sedentary ones; however, no changes were observed in neuroplasticity biomarkers brain-derived neurotrophic factor, reelin and 5-bromo-2′-deoxiuridine. Finally, the global DNA methylation of paternal sperm was not significantly changed by physical exercise. These results suggest a link between paternal preconception physical activity and cognitive benefit, which may be associated with hippocampal epigenetic programming in male offspring. However, the biological mechanisms of this modulation remain unclear. | Christiano Spindler Ethiane Segabinazi Andre Luis Ferreira de Meireles Francele Valente Piazza Filipe Mega Gabriela dos Santos Salvalaggio Matilde Achaval Viviane Rostirola Elsner Simone Marcuzzo | 2019 | Neural Regeneration Research2019，14，3： | 3 |
| 2 | Encap- sulation of Aroma Compounds in Biopolymeric Emulsion Based Edible Films to Control Flavour Release 显示文摘 | MARCUZZO E SENSIDONI A DEBEAUFORT F | 2010 | Carbo- hydrate Polymers2010，80，： | 1 |
| 3 | Release Behavior and Stability of Encapsulated d-Limonene from E- mulsion- Based Edible Films 显示文摘 | MARCUZZO E DEBEAUFORT F SENSIDONI A | 2012 | Journal of Agricultural and Food Chemistry2012，60，12： | 1 |
| 4 | Effect of ultrasound treatment on properties of gluten-based film显示文摘 | Marcuzzo E Peressini D Debeaufort F | 2010 | Innovative Food Science and Emerging Technologies2010，11，： | 1 |
| 5 | Effect of ultrasound treatment on properties of gluten-based film显示文摘 | Marcuzzo E Peressini D Debeaufort F | 2010 | Innovative Food Science & Emerging Technologies2010，11，3： | 1 |
| 6 | Automa-ted Arabidopsis plant root cell segmentation based on SVMclassification and region merging显示文摘 | Monica Marcuzzo Pedro Quelhas Ana Campilho | 2009 | Computers In Biologyand Medicine2009，39，9： | 1 |
| 7 | Encapsula- tion of aroma compounds in biopolymeric emulsion based edible films to control flavour release显示文摘 | MARCUZZO E SENSIDANI A DEBEAUFORT F | 2010 | Carbohydrate Polymers2010，80，3： | 1 |
| 8 | Effect of ultrasound treatment on properties of gluten-based film显示文摘 | MARCUZZO E PERESSINI D DEBEAUFORT F | 2010 | Innovative Food Science and Emerging Technologies2010，11，3： | 1 |
| 9 | Beneficial effects of treadmill training in a cerebral palsy-like rodent model: walk- ing pattern and soleus quantitative histology 显示文摘 | Marcuzzo S Dutra MF Stigger F | 2008 | Brain Res2008，1222，： | 1 |
| 10 | Effect of ultrasound treatment on properties of gluten-based film显示文摘 | Eva Marcuzzo Donatella Peressini Frédéric Debeaufort Alessandro Sensidoni | 2010 | Innovative Food Science and Emerging Technologies2010，，3： | 1 |
| 11 | Fruit ripeness classification:A survey显示文摘Fruit is a key crop in worldwide agriculture feeding millions of people.The standard supply chain of fruit products involves quality checks to guarantee freshness,taste,and,most of all,safety.An important factor that determines fruit quality is its stage of ripening.This is usually manually classified by field experts,making it a labor-intensive and error-prone process.Thus,there is an arising need for automation in fruit ripeness classification.Many automatic methods have been proposed that employ a variety of feature descriptors for the food item to be graded.Machine learning and deep learning techniques dominate the top-performing methods.Furthermore,deep learning can operate on raw data and thus relieve the users from having to compute complex engineered features,which are often crop-specific.In this survey,we review the latest methods proposed in the literature to automatize fruit ripeness classification,highlighting the most common feature descriptors they operate on. | Matteo Rizzo Matteo Marcuzzo Alessandro Zangari Andrea Gasparetto Andrea Albarelli | 2023 | Artificial Intelligence in Agriculture2023，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员