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Article ; Online: Editorial for the Special Issue on “Boron Nitride-Based Nanomaterials”

Hongshun Ran / Jie Yin / Hongping Li

Nanomaterials, Vol 13, Iss 584, p

2023 Volume 584

Abstract: Boron nitride (BN) materials, graphene-like materials, are known as one of the most promising inorganic materials of this century because of their unique structures and properties [.] ...

Abstract	Boron nitride (BN) materials, graphene-like materials, are known as one of the most promising inorganic materials of this century because of their unique structures and properties [.]
Keywords	n/a ; Chemistry ; QD1-999
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: RFI mitigation for 2D Synthetic Aperture Interferometric Radiometers using combined theoretical and machine learning technique

Ming Xu / Hongping Li / Xiaobin Yin

Frontiers in Marine Science, Vol

2023 Volume 10

Abstract: Synthetic Aperture Interferometric Radiometer (SAIR) as one of the most advanced instruments for Sea Surface Salinity (SSS) observation, has been in service on SMOS mission for years and is planned on the Chinese Ocean Salinity Satellite in the near ... ...

Abstract	Synthetic Aperture Interferometric Radiometer (SAIR) as one of the most advanced instruments for Sea Surface Salinity (SSS) observation, has been in service on SMOS mission for years and is planned on the Chinese Ocean Salinity Satellite in the near future. However, a lot of Radio Frequency Interference (RFI) emissions are found in SMOS views, which contaminate the brightness temperature measurements of the SAIR instrument, and further impede the retrieval of SSS fields. Concerning SAIR’s operating mode, this study proposes an RFI mitigation method comprising two algorithms for co- and cross-polarization, respectively. First, RFI signatures are identified based on a series of thresholds defined by radiation theory, and then mitigated through a simple machine learning technique of Support Vector Regression (SVR), leveraging either SAIR’s multi-angle measurements or sea surface roughness descriptors, depending on the specific polarization mode. Finally, the outputs of all polarizations are merged and written back to the Level 1C brightness temperature product as the final result. Using the proposed method, the notable outliers arose from RFI contamination are attenuated, and the variation of standard deviations over nearby snapshots is smoothed, as expected on a homogeneous ocean. Furthermore, with the official L2OS software implementing the SSS retrieval procedure from the rewritten Level 1C brightness temperatures, the data re-gain of SSS fields is achieved in some places that are not attainable for the current SMOS Level 2 SSS products, with a reasonable error compared to WOA2009 SSS, confirming the validity of the proposed method. Hopefully, this work could provide a practical solution to current and future SAIR observing predicaments.
Keywords	Synthetic Aperture Interferometric Radiometers (SAIR) ; radio frequency interference (RFI) ; Soil Moisture and Ocean Salinity (SMOS) mission ; Chinese Ocean Salinity Satellite ; contamination mitigation ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
Subject code	551
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Quantitative Measurement of Radio Frequency Interference for SMOS Mission

Ming Xu / Hongping Li / Haihua Chen / Xiaobin Yin

Remote Sensing, Vol 14, Iss 1669, p

2022 Volume 1669

Abstract: The Earth Exploration Satellite Service (EESS) for passive sensing has a primary frequency allocation in the 1400–1427 MHz band. All emissions unauthorized in this band are called RFI (Radio Frequency Interference). The SMOS (Soil Moisture and Ocean ... ...

Abstract	The Earth Exploration Satellite Service (EESS) for passive sensing has a primary frequency allocation in the 1400–1427 MHz band. All emissions unauthorized in this band are called RFI (Radio Frequency Interference). The SMOS (Soil Moisture and Ocean Salinity) mission is greatly perturbed by RFI impeding ocean salinity retrieval, especially in coastal areas such as the SCS (South China Sea), where the observed data has been discarded massively. At present, there is no way to eliminate the RFI impact on the retrieved salinity, other than by detecting and shutting down the emissions from the sources. However, it may be effective in a scientific sense if RFI can be quantified and applied to the salinity retrieval process. Therefore, this study proposes an RFI measuring method that can investigate contamination in both prominent and moderate respects, aroused either by on-site emissions or nearby continents. Based on the proposed method, two levels of hierarchical RFI maps of the SCS region, including the separated one and the merged one, are presented and discussed, indicating more severe contamination in northern and western SCS. Moreover, to verify the generalization of the method on open oceans far from continents, an area in the middle central Pacific is selected and tested. The result shows few or no RFI in this unattended region, which is consistent with the authors’ knowledge. This study presents the concept of the “RFI map” to describe the contamination, which will hopefully help researchers comprehend the RFI state intuitively and assist in ocean salinity retrieval statistically.
Keywords	radio frequency interference (RFI) ; measurement ; soil moisture and ocean salinity (SMOS) ; prominent contamination ; moderate contamination ; Science ; Q
Subject code	290
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Bond Quality and Durability of Cross-Laminated Flattened Bamboo and Timber (CLBT)

Shiyu Yang / Hongping Li / Benhua Fei / Xiubiao Zhang / Xiaohuan Wang

Forests, Vol 13, Iss 8, p

2022 Volume 1271

Abstract: To achieve value-added utilization of domestic bamboo and plantation wood resources, this study investigated the feasibility of using flattened bamboo and Chinese fir for manufacturing cross-laminated bamboo and timber (CLBT). Two types of adhesives, one- ...

Abstract	To achieve value-added utilization of domestic bamboo and plantation wood resources, this study investigated the feasibility of using flattened bamboo and Chinese fir for manufacturing cross-laminated bamboo and timber (CLBT). Two types of adhesives, one-component polyurethane (PUR), and phenol resorcinol formaldehyde (PRF), and three applied pressure parameters (0.6, 0.8, and 1.0 MPa) were used to fabricate small CLBT panels (375 mm × 500 mm). In this study, block shear and delamination tests were conducted to examine the bond quality and durability of CLBT panels. The results showed that a significant difference in the bonding shear strength (BSS) in both directions. The bonding shear strength in the minor strength direction (BSS minor ) was 1.81–3.45 times higher than the bonding shear strength in the major strength direction (BSS major ). The adhesive type was the major factor affecting the bond quality and delamination, while the bonding pressure had no significant effect on the bond quality and delamination. Compared with PRF adhesives, CLBT specimens prepared from PUR had higher bonding shear strength (BSS) and wood failure percentage (WFP). However, the durability of delamination specimens prepared by PUR was not as good as layered specimens prepared by PRF.
Keywords	flattened bamboo ; Chinese fir ; cross-laminated flattened bamboo and timber ; bond shear ; delamination ; adhesive ; Plant ecology ; QK900-989
Subject code	690
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A lightweight deep learning model for ocean eddy detection

Haochen Sun / Hongping Li / Ming Xu / Fan Yang / Qiang Zhao / Cuishu Li

Frontiers in Marine Science, Vol

2023 Volume 10

Abstract: Ocean eddies are typical oceanic mesoscale phenomena that are numerous, widely distributed and have high energy. Traditional eddy detection methods are mainly based on physical mechanisms with high accuracy. However, the large number of steps and complex ...

Abstract	Ocean eddies are typical oceanic mesoscale phenomena that are numerous, widely distributed and have high energy. Traditional eddy detection methods are mainly based on physical mechanisms with high accuracy. However, the large number of steps and complex parameter settings limit their applicability for most users. With the rapid development of deep learning techniques, object detection models have been broadly used in the field of ocean remote sensing. This paper proposes a lightweight eddy detection model, ghost eddy detection YOLO (GED-YOLO), based on sea level anomaly data and the “You Only Look Once” (YOLO) series models. The proposed model used ECA+GhostNet as the backbone network and an atrous spatial pyramid pooling network as the feature enhancement network. The ghost eddy detection path aggregation network was proposed for feature fusion, which reduced the number of model parameters and improved the detection performance. The experimental results showed that GED-YOLO achieved better detection precision and smaller parameter size. Its mAP was 95.11% and the parameter size was 22.56 MB. In addition, the test experiment results showed that GED-YOLO had similar eddy detection performance and faster detection speed compared to the traditional physical method.
Keywords	ocean eddies ; sea level anomaly data ; deep learning ; lightweight ; ghost eddy detection YOLO (GED-YOLO) ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
Subject code	551
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of immune subtypes and their prognosis and molecular implications in colorectal cancer

Yan Sun / Hongping Li / Zhiming Ma / Jianfei Wang / Huiyu Yang / Xiaopeng Zhang / Bingrong Liu

PLoS ONE, Vol 17, Iss

2022 Volume 11

Abstract: Immune composition is commonly heterogeneous and varies among colorectal cancer (CRC) patients. A comprehensive immune classification may act as important characteristics to predict CRC prognosis. Thus, we aimed to identify novel immune specific subtypes ...

Abstract	Immune composition is commonly heterogeneous and varies among colorectal cancer (CRC) patients. A comprehensive immune classification may act as important characteristics to predict CRC prognosis. Thus, we aimed to identify novel immune specific subtypes to guide future therapies. Unsupervised clustering was used to classify CRC samples into different immune subtypes based on abundances of immune cell populations, during which TCGA and GSE17536 datasets were used as training and validation sets, respectively. The associations between the immune subtypes and patient prognosis were investigated. Further, we identified differentially expressed genes (DEGs) between immune high and low subtypes, followed by functional enrichment analyses of DEGs. The expression levels of 74 immunomodulators (IMs) across immune subtypes were analyzed. As a result, we clustered CRC samples into three distinct immune subtypes (immune high, moderate, and low). Patients with immune-high subtype showed the best prognosis, and patients with immune-low subtype had the worst survival in both TCGA and GSE17536 cohorts. A group of 2735 up-regulated DEGs were identified across immune high and low subtypes. The main DEGs were the members of complement components, chemokines, immunoglobulins, and immunosuppressive genes that are involved in immune modulation-related pathways (e.g., cytokine-cytokine receptor interaction) or GO terms (e.g., adaptive immune response and T cell activation). The expression levels of 63 IMs were significantly varied across immune subtypes. In conclusion, this study provides a conceptual framework and molecular characteristics of CRC immune subtypes, which may accurately predict prognosis and offer novel targets for personalized immunotherapy through modifying subtype-specific tumor immune microenvironment.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-objective deficit drip irrigation optimization of citrus yield, fruit quality and water use efficiency using NSGA-II in seasonal arid area of Southwest China

Fei Chen / Ningbo Cui / Shouzheng Jiang / Zhihui Wang / Hongping Li / Min Lv / Yaosheng Wang / Daozhi Gong / Lu Zhao

Agricultural Water Management, Vol 287, Iss , Pp 108440- (2023)

2023

Abstract: Precision irrigation management is the key to saving water, improving fruit quality and increasing yield of citrus. In this study, six water-yield models and three water-fruit quality models were proposed based on 4-year field data. Then, six scenarios ... ...

Abstract	Precision irrigation management is the key to saving water, improving fruit quality and increasing yield of citrus. In this study, six water-yield models and three water-fruit quality models were proposed based on 4-year field data. Then, six scenarios were set with crop total available water (CTW) from 550 to 800 mm at intervals of 50 mm, and a simulation optimization model coupling water-yield, water-fruit quality models and NSGA-II was developed to optimize water allocation strategies. The results showed that six water-yield models performed well in predicting citrus yield, especially Minhas model (R2=0.81). Three water-fruit quality models could well predict the physical quality of citrus fruit (R2=0.72–0.92), but only the Q-Rao model could accurately predict the chemical quality due to its development considering the response processes of fruit quality to deficit irrigation. Therefore, Minhas and Q-Rao models were recommended to predict citrus yield and fruit quality, respectively. The optimization results showed that the optimal water allocation strategy under CTW= 630 mm produced an acceptable yield while improving fruit chemical quality and water use efficiency. When CTW was greater than 630 mm, the optimal water allocation strategy had little difference. Therefore, the optimal water allocation strategy under CTW= 630 mm, which was 14, 104, 325, and 187 mm at bud bust to flowering stage, young fruit stage, fruit expansion stage, and fruit maturation stage, respectively, was recommended to be used under sufficient water resources conditions (CTW ≥ 630 mm). When CTW was between 550 and 630 mm, the optimal water allocation strategy changed. As a result, the optimal water allocation strategy was chosen based on the findings as well as the actual local CTW under limited water resource conditions (CTW = 550–630 mm). The findings of this study will be useful in developing appropriate irrigation strategies in Southwest China, to achieve efficient and sustainable citrus production.
Keywords	Water-saving irrigation ; Water allocation schedule ; Crop water production function ; Sustainable agriculture ; Agriculture (General) ; S1-972 ; Agricultural industries ; HD9000-9495
Subject code	550
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Designing Inorganic–Organic Dual-Acid Deep Eutectic Solvents for Synergistically Enhanced Extractive and Oxidative Desulfurization

Dongao Zhu / Lixian Xu / Beibei Zhang / Linhua Zhu / Jing He / Hongping Li / Huaming Li / Wei Jiang

Molecules, Vol 28, Iss 23, p

2023 Volume 7743

Abstract: Acidic deep eutectic solvents (DESs) have been considered desirable extractants and catalysts for desulfurization. However, their hydrogen bond donors (HBDs) are usually sole organic acids, which are not conducive to efficient green catalysis. Herein, a ... ...

Abstract	Acidic deep eutectic solvents (DESs) have been considered desirable extractants and catalysts for desulfurization. However, their hydrogen bond donors (HBDs) are usually sole organic acids, which are not conducive to efficient green catalysis. Herein, a novel inorganic–organic dual-acid DES (DADES) was reported for efficient extractive and oxidative desulfurization. Benefiting from the physical interaction among the three components in a DADES, a transparent homogeneous liquid can be obtained even though inorganic acid (boric acid, BA) and organic acid (acetic acid, AA) can be immiscible. Furthermore, the dual-acid HBD can increase the acidity of the DADES and reduce its viscosity, accelerating its mass transfer efficiency and enhancing its catalytic activity. With 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) as the hydrogen bond acceptor, [Bmim]Cl/BA/0.3AA effectively activated hydrogen peroxide and achieved sulfur removal of 96.6% at 40 °C. Furthermore, the universality of the synergistic effect in various DADESs was confirmed by the modulation of the types of organic acids. This study not only motivates the construction of more intriguing novel DESs based on the DADES concept but also highlights their potential in clean fuel production.
Keywords	dual-acid deep eutectic solvent ; inorganic and organic acids ; synergistic effect ; oxidative desulfurization ; mechanism ; Organic chemistry ; QD241-441
Subject code	540
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Biomarker Assessment of Homologous Recombination Deficiency in Epithelial Ovarian Cancer

Huan Yi / Linhong Li / Jimiao Huang / Zhiming Ma / Hongping Li / Jian Chen / Xiangqin Zheng / Jingjing Chen / Haixin He / Jianrong Song

Frontiers in Molecular Biosciences, Vol

Association With Progression-Free Survival After Surgery

2022 Volume 9

Abstract: Identifying BRCA mutations and homologous recombination deficiency (HRD) is the key to choosing patients for poly (ADP-ribose) polymerase inhibitor (PARPi) therapy. At present, a large amount of research focuses on the application of HRD detection in ... ...

Abstract	Identifying BRCA mutations and homologous recombination deficiency (HRD) is the key to choosing patients for poly (ADP-ribose) polymerase inhibitor (PARPi) therapy. At present, a large amount of research focuses on the application of HRD detection in ovarian cancer. However, few studies have discussed the relationship between HRD detection and postoperative survival in patients with epithelial ovarian cancer (EOC). This study included 38 consecutive patients with EOC who underwent cytoreduction surgery. Owing to tissue availability, only 29 patients underwent molecular profiling and survival analysis. Overall, 21 (72.4%) tumors had HRD scores of ≥42. Mutations in BRCA were observed in 5/29 (17.2%) patients. In this cohort, an HRD score of ≥42 was more common in serous ovarian tumors. We found no statistically significant association between homologous recombination repair (HRR) genes and HRD scores except for tumor protein P53 (TP53) mutation. We also found a strong positive association between HRD scores and chromosomal instability (CIN). In the survival analysis, an HRD score of >23 was correlated with better postoperative progression-free survival (pPFS). With increased depth of research, an appropriate HRD score threshold may serve as a prognostic tool and should be assessed in future studies to predict the clinical value of PARPi.
Keywords	epithelial ovarian cancer ; homologous recombination deficiency ; homologous recombination deficiency score ; chromosomal instability ; postoperative progression-free survival ; Biology (General) ; QH301-705.5
Subject code	616
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Inter- and Mixed Cropping of Different Varieties Improves High-Temperature Tolerance during Flowering of Summer Maize

Shuyan Li / Junfang Zhao / Junling Li / Ruixin Shao / Hongping Li / Wensong Fang / Liting Hu / Tianxue Liu

Sustainability, Vol 14, Iss 6993, p

2022 Volume 6993

Abstract: Global warming increases the risk of high-temperature injury to maize. Inter- and mixed-cropping of maize varieties with different genotypes is one way to effectively alleviate the high-temperature injury during the flowering period. However, the ... ...

Abstract	Global warming increases the risk of high-temperature injury to maize. Inter- and mixed-cropping of maize varieties with different genotypes is one way to effectively alleviate the high-temperature injury during the flowering period. However, the mitigation effect of different varieties and intercropping modes on high-temperature injury is still unclear. Based on previous years of field production, Denghai 605, which is more sensitive to high temperatures during the flowering period, was determined as the main test variety, and Zhengdan 958, Dedan 5, Weike 702, and Xianyu 335, which have great genotypic differences, were used as auxiliary varieties. The main test varieties and auxiliary varieties were intercropped and mixed cropped, respectively. Plant height, ear height, leaf area index, population light transmittance, ear characteristics, and yield were measured, and the land equivalent ratio (LER) was calculated. The plant height of Denghai 605 intercropped with Zhengdan 958 and Dedan 5 and mixed with Weike 702 and Xianyu 335 decreased significantly. The population light transmittance of the bottom or middle layer in Denghai 605 increased significantly when intercropped with other varieties. The grain number per ear increased significantly under inter- and mixed cropping with Zhengdan 958 and Weike 702. Except under intercropping with Dedan 5, the yield of Denghai 605 increased significantly, by 8.8–28.0%, under inter- and mixed cropping. Under intercropping with Zhengdan 958 and inter- and mixed cropping with Weike 702 and Xianyu 335, respectively, the group land equivalent ratio was greater than 1.1, indicating that under the combination of these varieties, inter- and mixed cropping effectively reduced the impact of high temperatures during flowering.
Keywords	summer maize ; inter- and mixed cropping ; high temperature ; flowering period ; yield ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	580
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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