Differences in small noncoding RNAs profile between bull X and Y sperm

Zhou, Hao; Li, Jiajia; Sun, Wei; Ding, Rui; Li, Xihe; Shangguan, Aishao; Zhou, Yang; Worku, Tesfaye; Hao, Xingjie; Khan, Faheem Ahmed; Yang, Liguo; Zhang, Shujun

doi:10.7717/peerj.9822

Cited by 10 publications

(8 citation statements)

References 74 publications

(137 reference statements)

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“…materials with high chemical resistance to perovskite solvents (Figure 2a). [26,27] TiO 2 and SnO 2 seem to be almost perfect ETLs for application in PSCs as they meet the earlier characteristics well. [28,29] 2.1.1.…”

Section: Excellent Photoelectric Propertiesmentioning

confidence: 61%

Ultraviolet Photocatalytic Degradation of Perovskite Solar Cells: Progress, Challenges, and Strategies

Chen

Xie

Gao

2022

Adv Energy and Sustain Res

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Perovskite solar cells (PSCs) have received great attention due to their ever-increasing power conversion efficiency (PCE), low-cost materials, and easy solution preparation. The certified efficiency of PSCs reached 25.5% [1] based on a lab scale, exceeding the performance of copper indium gallium selenide (CIGS) and CdTe thin-film solar cells and approaching the highest reported value of the mainstream silicon solar cell. [2] The highest-efficiency devices generally use the regular n-i-p structure composed of a perovskite absorber between a metal oxide electron transport layer (MOETL) and an organic hole transport layer (HTL). [1,3] Miyasaka et al. first adopted CH 3 NH 3 PbI 3 and CH 3 NH 3 PbBr 3 as light absorbers in liquid electrolyte-based dyesensitized solar cells using a thick TiO 2 layer (%10 μm) as an electron collector. The first PSCs achieved a PCE of 3.8%. [4] After that, tremendous efforts have been made for the PSCs based on TiO 2 . The PSCs included an n-type TiO 2 ETL, a perovskite absorber layer, a p-type 2,2 0 ,7,7 0tetrakis-(N,N-di-4-methoxyphenylamino)-9,9 0 -spirobifluorene (Spiro-OMeTAD) HTL, which has been the most typical and successful structure. Grätzel et al. achieved the first certified efficiency of 14.14% based on the aforementioned n-i-p structure with compact TiO 2 (c-TiO 2 )/mesoporous TiO 2 (m-TiO 2 ). [5] In the following years, the performance of the PSCs based on TiO 2 achieved tremendous progress. To remove the organic material in TiO 2 paste and achieve high-quality m-TiO 2 layer, a hightemperature sintering process (>500 C) was generally needed. [6] To avoid high-temperature processing, low-temperature processed SnO 2 was developed. Tian and co-workers adopted SnO 2 thin films attained by spin coating SnO 2 nanoparticles on indium-doped tin oxide (ITO) followed by low-temperature annealing at 200 C, and a 13% PCE was achieved. [7] Huge progress of SnO 2 -based PSCs was reported by Fang and co-workers. They adopted thermal decomposition of SnCl 2 •2H 2 O precursor at 180 C in ambient air to form SnO 2 film and achieved 17.21% efficiency. [8] Later on, Hagfeldt et al. used low-temperature chemical bath deposition to grow SnO 2 ETL and obtained almost hysteresis-free PCEs of 20.8%. [9] In 2019, the PCE of the planar SnO 2 PSCs reached a certified efficiency of 23.32%, which first surpassed that of m-TiO 2 PSCs. [10] Therefore, SnO 2 has increasingly attracted great attention as an ETL for PSCs, and it is considered as the most promising alternative to TiO 2 . Up to date, all the world records of the certified PCE were achieved based on TiO 2 or SnO 2 n-i-p conventional structures since the PSCs appeared in 2009 (Figure 1). [1,3,5,6,[10][11][12][13][14][15] Recently, a PCE of 25.8% (certified 25.5%) has been achieved based on Cl-bonded SnO 2 . [1] Thus, the important key to achieve state-of-the-art PSCs is the application of TiO 2 or SnO 2 , due to its excellent electrical properties.

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Section: Excellent Photoelectric Propertiesmentioning

confidence: 61%

Ultraviolet Photocatalytic Degradation of Perovskite Solar Cells: Progress, Challenges, and Strategies

Chen

Xie

Gao

2022

Adv Energy and Sustain Res

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“…Outro modelo de soft sensors foi desenvolvido por Zhao et al (2021), com o intuito de monitorar de forma online o teor de CaO livre na produção de cimento, que é uma variável importante para garantir a qualidade do produto final, usando variáveis auxiliares, como temperatura, pressão e taxa de fluxo de material, este modelo utiliza uma análise de séries temporais multivariadas e Rede Neural Convolucional (MVTS-CNN).…”

Section: Aplicação De Sensores Na Indústria Cimenteiraunclassified

Monitoramento através de sensores das emissões de gases do efeito estufa na indústria cimenteira: uma revisão

Oliveira,

Moura

2023

Braz. J. Prod. Eng.

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A importância da sustentabilidade e da economia circular na indústria cimenteira tem crescido diante das mudanças climáticas e da escassez de recursos naturais. Esta indústria é responsável por uma parcela significativa das emissões de dióxido de carbono, tornando-se o terceiro maior emissor global. A adoção de tecnologias limpas e a implementação de sensores na indústria cimenteira são cruciais para reduzir as emissões de gases de efeito estufa, possibilitando o planejamento da produção, a redução de perdas e a melhoria da qualidade do produto, fornecendo estimativas precisas de variáveis difíceis de medir diretamente, capacitando as empresas a tomar decisões informadas e maximizar a eficiência operacional. A metodologia adotada neste estudo foi uma revisão sistemática da literatura que abordou a aplicação de sensores na indústria cimenteira, com foco no monitoramento de gases do efeito estufa, bem como nas práticas relacionadas à economia circular e sustentabilidade. Tendo como objetivo analisar a importância e os benefícios da aplicação de sensores na indústria cimenteira, identificando avanços, desafios e tendências. Concluiu-se que a implementação de sensores na indústria cimenteira é necessária para a transformação do processo produtivo, promovendo a sustentabilidade e eficiência operacional, contribuindo para a preservação de recursos, eficiência energética e para a descarbonização.

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“…2. Z. Zhou [7] et.al proposed A Wind Turbine Fault Diagnosis Method Based on an Optimized Deep Belief Network. The paper proposes a wind turbine fault diagnosis method using an optimized deep belief network (DBN).…”

Section: Literaturereviewmentioning

confidence: 99%

Intelligent Control System for Wind Turbine Farms Using IoT and Machine Learning

Radhakrishnan¹,

Jasmin²,

Rai³

et al. 2023

E3S Web Conf.

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The development of renewable energy sources is becoming increasingly important due to the depletion of traditional energy sources and the negative environmental impact caused by their use. Wind energyis one of the most promising renewable energy sources, withwind turbine farmsbeingestablishedacross the world. However, the operation and maintenance of wind turbine farms pose significant challenges due to the unpredictable nature of wind and the complex inter relationships between the turbines in the farm. To address these challenges, an intelligent control system that Smart Wind technologies has been proposed. The system utilizes a network of sensors and IoT devices to collect real-time data on wind speed, temperature, humidity, and other relevant parameters.

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Differences in small noncoding RNAs profile between bull X and Y sperm

Cited by 10 publications

References 74 publications

Ultraviolet Photocatalytic Degradation of Perovskite Solar Cells: Progress, Challenges, and Strategies

Ultraviolet Photocatalytic Degradation of Perovskite Solar Cells: Progress, Challenges, and Strategies

Monitoramento através de sensores das emissões de gases do efeito estufa na indústria cimenteira: uma revisão

Intelligent Control System for Wind Turbine Farms Using IoT and Machine Learning

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