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Results for “"Zhijun Mai"”

11 results

MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning

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Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen et al.

Journal: IEEE Transactions on Neural Networks and Learning SystemsYear: 2021Citations: 45

MixUp is an effective data augmentation method to regularize deep neural networks via random linear interpolations between pairs of samples and their labels. It plays an important role in model regularization, semisupervised learning (SSL), and domain adaption. However, despite its empirical success...

Physical SciencesComputer ScienceArtificial Intelligence
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Hydrogels based on chitosan in tissue regeneration: How do they work? A mini review

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Jiao Jiao, Jinjian Huang, Zhijun Zhang

Journal: Journal of Applied Polymer ScienceYear: 2018Citations: 38

ABSTRACT The repair of tissue defects after injury is of significant clinical and research importance. A variety of chitosan‐based hydrogels have been investigated and applied to address this problem. By using different synthetic methods, the hydrogels exhibit distinct physical properties, including...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular MedicineOpen Access
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High Fibre Diet Reduced the Energy Cost of Production and Abdominal Fat of Broiler Chickens

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Md. Momenuzzaman Bhuiyan, Zhijun Cheng, Md Saiful Bari, Paul Iji

Journal: Advances in Animal and Veterinary SciencesYear: 2021Citations: 4

F eed is one of the most important factors which impacts broiler performance (Ferket and Gernat, 2006; Dozier et al., 2010).Broilers consume a large amount of feed.Feed costs vary with the cost of ingredients but normally feed costs for broilers represent 65-85% of the variable cost of production of...

Life SciencesAgricultural and Biological SciencesAnimal Science and ZoologyOpen Access
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[High-resolution research on the NO3- changes of karst groundwater and its responses to the outside environmental variations].

Verified

Junbing Pu, Daoxian Yuan, Zhiyong Hu, Pingheng Yang et al.

Journal: PubMedYear: 2011Citations: 4

In order to thoroughly reveal the karst groundwater system in response to the external environment, multi-index high-resolution auto-monitoring instruments were used to research the hydrogeochemistry variations of Qingmuguan subterranean stream. The monitoring indicators were pH value, electrical co...

Physical SciencesEarth and Planetary SciencesEarth-Surface Processes
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Effect of appropriate extenders to maintain sperm functionality during short-term storage of sterlet (Acipenser ruthenus) sperm with fertilization assay under hatchery conditions

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Nururshopa Eskander Shazada, Mohammad Abdul Momin Siddique, Songpei Zhang, Zhijun Ma et al.

Journal: Fish Physiology and BiochemistryYear: 2024Citations: 2

Abstract Short-term storage and management of sperm in vitro is an easy and economical process in which suitable extenders can be utilized to extend the storage period and prevent sperm function impairment. Therefore, the current study aimed to evaluate the effect of suitable extenders during the sh...

Life SciencesBiochemistry, Genetics and Molecular BiologyPhysiologyOpen Access
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The rapid identification and diagnosis of meniscus tear by Magnetic Resonance Imaging using a deep learning model

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Jie Li, Kun Qian, Jinyong Liu, Zhijun Huang et al.

Journal: medRxivYear: 2022Citations: 1

Abstract Objective The meniscus tear is a common problem in sports trauma. The imaging diagnosis mainly depends on the MRI. To improve the diagnostic accuracy and efficiency, a deep learning model was employed in this study and the identification efficiency has been evaluated. Methods The standard k...

Health SciencesMedicineSurgeryOpen Access
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Enabling seamless spatiotemporal flood monitoring via bridging observational gaps with a case study on the 2024 Bangladesh flood

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Zhijun Jiao, Pengtianhao Wu, Biyan Chen, Zhimei Zhang et al.

Journal: International Journal of Applied Earth Observation and GeoinformationYear: 2026

Accurate and timely flood monitoring is critical for effective disaster management. Remote sensing observations offer large scale monitoring; however, they frequently suffer from observational gaps caused by cloud cover, limited swaths, and extended revisit cycles, severely hindering continuous trac...

Bridging (networking)Flood mythGeographyOpen Access
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Improved Knowledge-Driven Flood Intelligent Monitoring (KDFIMv2): A Case Study of the 2024 Bangladesh Flood

Verified

Zhijun Jiao, Zhimei Zhang, Biyan Chen, Zelang Miao et al.

Year: 2025

Monitoring large-scale floods and tracking their evolution are essential for effective disaster response, particularly in regions where floods have widespread and dynamic impacts. Satellite-based flood detection using Synthetic Aperture Radar (SAR) and optical data faces challenges such as low spati...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Systemic Accumulation and Deterrent Effects of Ipomeamarone in Sweetpotato Weevil-Injured Storage Roots

Verified

M. P. Ali, Jullyane Emi Matsushima, Nasim Akhtar, Ana Isabel Vitorino Maia et al.

Journal: ACS Agricultural Science & TechnologyYear: 2025

Sweetpotato weevil, Cylas formicarius elegantulus (Summers) (Coleoptera: Brentidae), is one of the most devastating pests of sweetpotatoes in tropical and subtropical regions. Furanoterpenoids are produced when sweetpotato weevils feed on storage roots, making them potentially unmarketable and toxic...

Life SciencesAgricultural and Biological SciencesInsect ScienceOpen Access
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How to improve the digital management level of medical waste through “digital technology and business data”?

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Hao Liu, Zhijun Yan

Journal: Industrial Management & Data SystemsYear: 2025

Purpose The difficulty of medical waste management lies in data management. Digital technology can improve the digital management ability of medical waste, and data are the core. But what are the key data of medical waste itself and its business processes, such as generation, collection, classificat...

Health SciencesMedicinePublic Health, Environmental and Occupational Health
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Thermoelastic Damping in Bilayered Microbeam Resonators with Annular-cross Section

Verified

Zhijun Luo, Pu Li, Longfei Yang, Yuming Fang

Year: 2019

The design of high quality factor (Q-factor) resonator requires consideration of thermoelastic damping (TED), which is an internal energy dissipation mechanism and determines the upper limit of the Q-factor. The previous works of TED models for microbeams mainly focus on the microbeams with rectangu...

Physical SciencesEngineeringMechanics of Materials
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