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Article ; Online: Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network

Xiaofei Lu / Shouwang Li

Advances in Multimedia, Vol

2024 Volume 2024

Abstract: As virtual reality technology advances, 3D environment design and modeling have garnered increasing attention. Applications in networked virtual environments span urban planning, industrial design, and manufacturing, among other fields. However, existing ...

Abstract	As virtual reality technology advances, 3D environment design and modeling have garnered increasing attention. Applications in networked virtual environments span urban planning, industrial design, and manufacturing, among other fields. However, existing 3D modeling methods exhibit high reconstruction error precision, limiting their practicality in many domains, particularly environmental design. To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. By employing the refined stereo-matching algorithm, a 3D reconstruction model was developed to augment 3D environment design and reconstruction accuracy while optimizing the 3D reconstruction effect. An experiment using the ShapeNet dataset demonstrated that the evaluation indices—Chamfer distance (CD), Earth mover’s distance (EMD), and intersection over union—of the model constructed in this study outperformed those of alternative methods. After incorporating the CNN module in the ablation experiment, CD and EMD increased by an average of 0.1 and 0.06, respectively. This validates that the proposed CNN module effectively enhances point cloud reconstruction accuracy. Upon adding the CNN module, the CD index and EMD index in the dataset increased by an average of 0.34 and 0.54, respectively. These results indicate that the proposed CNN module exhibits strong predictive capabilities for point cloud coordinates. Furthermore, the model demonstrates good generalization performance.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Blue, Yellow, and Red Carbon Dots from Aromatic Precursors for Light-Emitting Diodes

Zhenzhen Liu / Xiaofei Lu / Menglin Liu / Wenjing Wang

Molecules, Vol 28, Iss 2957, p

2023 Volume 2957

Abstract: In this work, multicolor fluorescent carbon dots with red (R-CDs), yellow (Y-CDs), and blue (B-CDs) emissions were prepared by choosing proper aromatic precursors with different amounts of benzene rings through a simple solvothermal method. The ... ...

Abstract	In this work, multicolor fluorescent carbon dots with red (R-CDs), yellow (Y-CDs), and blue (B-CDs) emissions were prepared by choosing proper aromatic precursors with different amounts of benzene rings through a simple solvothermal method. The characterization showed that the prepared carbon dots were spherical with a size under 10 nm, rich surface functional groups, and good stability. The emission wavelengths were located at 440, 530, and 580 nm under the excitation of 370 nm. The relative fluorescence quantum yield ( QY ) of R-CDs, Y-CDs, and B-CDs was 11%, 59%, and 33%, respectively. The related characterization demonstrated that the redshift in the photoluminescence was caused by the synergistic effect of the increasing graphitic nitrogen content, quantum size effect and surface oxidation state. By mixing the three prepared CDs into a PVA matrix, the transparent and flexible films produced relucent blue, yellow, and red emissions under 365 nm UV light, and solid-state quenching was effectively avoided. LEDs were fabricated by using B-CDs, Y-CDs, and R-CDs/PVA with a semiconductor chip. These CDs-based LEDs produced bright blue, yellow, and red light with CIE color coordinates of (0.16, 0.02), (0.38, 0.58), and (0.50, 0.49) were successfully manufactured utilizing the prepared blue, yellow and red multicolor carbon dots as the solid luminescent materials. The results showed that the synthesized CDs can be potentially applied in multi-color monitors as a promising candidate for light-emitting diodes (LEDs). This work blazes a novel trail for the controllable preparation of multicolor fluorescent carbon dots.
Keywords	carbon dots ; multicolor emission ; fluorescence mechanism ; light-emitting diodes ; Organic chemistry ; QD241-441
Subject code	540
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Landscape planning and design and visual evaluation for landscape protection of geological environment

Xiaofei Lu / Rui Liu / Lijun Xia

Journal of King Saud University: Science, Vol 35, Iss 6, Pp 102735- (2023)

2023

Abstract: As an important carrier of science education, ecological landscape development and regional ecological civilization construction, the quality of geological landscape resources has a direct impact on its landscape charm, and the protection of landscape ... ...

Abstract	As an important carrier of science education, ecological landscape development and regional ecological civilization construction, the quality of geological landscape resources has a direct impact on its landscape charm, and the protection of landscape resources is directly related to its sustainable development ability and regional ecological civilization construction. To avoid or reduce the negative impact of architecture on the environment, the development of architectural landscape based on the perspective of geology and ecology is the top priority of healthy and sustainable development. In this paper, the visual sensitivity of the landscape was assessed by GIS (Geographic Information System, GIS) software technology, by calculating and analyzing the relative slope of the terrain, and visualizing the results through visual sensitivity classification. Based on summarizing and analyzing the previous research results, this paper expounds the geological landscape system and resource system, and introduces the architectural landscape features of environmental landscape protection. Combined with the geological environment planning architectural landscape, the concept of architectural planning and landscape design is integrated, the architectural landscape based on geological environment protection is constructed, and the spatial organization and layout of buildings in the environmental landscape is planned. Finally, landscape visual sensitivity was evaluated based on GIS. The research results show that the architectural landscape and geological environment protected by geological environment landscape can be organically combined, and the landscape has strong visual attraction. The research results of this paper solve the conflict between architecture and geological ecology and provide scientific basis for environmental landscape protection of geological ecology. The composite score of visual sensitivity was obtained by GIS calculation. The most visually sensitive place ranked 25th, while the most visually sensitive ...
Keywords	Geological environment landscape ; Architectural landscape planning ; Landscape planning and design ; Visual evaluation of landscape ; Science (General) ; Q1-390
Subject code	710 ; 720
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Emergency decompression for patients with ureteral stones and SIRS

Xiaofei Lu / Benzheng Zhou / Dechao Hu / Yanting Ding

Annals of Medicine, Vol 55, Iss 1, Pp 965-

a prospective randomized clinical study

2023 Volume 972

Abstract: AbstractObjective Patients with ureteral calculi and systemic inflammatory response syndrome (SIRS) often require emergency drainage, and percutaneous nephrostomy (PCN) and retrograde ureteral stent insertion (RUSI) are the most commonly used methods. ... ...

Abstract	AbstractObjective Patients with ureteral calculi and systemic inflammatory response syndrome (SIRS) often require emergency drainage, and percutaneous nephrostomy (PCN) and retrograde ureteral stent insertion (RUSI) are the most commonly used methods. Our study aimed to identify the best choice (PCN or RUSI) for these patients and to examine the risk factors for progression to urosepsis after decompression.Methods A prospective, randomized clinical study was performed at our hospital from March 2017 to March 2022. Patients with ureteral stones and SIRS were enrolled and randomized to the PCN or RUSI group. Demographic information, clinical features and examination results were collected.Results Patients (n = 150) with ureteral stones and SIRS were enrolled into our study, with 78 (52%) patients in the PCN group and 72 (48%) patients in the RUSI group. Demographic information was not significantly different between the groups. The final treatment of calculi was significantly different between the two groups (p < .001). After emergency decompression, urosepsis developed in 28 patients. Patients with urosepsis had a higher procalcitonin (p = .012) and blood culture positivity rate (p < .001) and more pyogenic fluids during primary drainage (p < .001) than patients without urosepsis.Conclusion PCN and RUSI were effective methods of emergency decompression in patients with ureteral stone and SIRS. Patients with pyonephrosis and a higher PCT should be carefully treated to prevent the progression to urosepsis after decompression.Key messageIn this study, we evaluate the best choice (PCN or RUSI) for patients who have ureteral stones and SIRS and to examine the risk factors for progression to urosepsis after decompression. This study found that PCN and RUSI were effective methods of emergency decompression. Pyonephrosis and higher PCT were risk factors for patients to develop to urosepsis after decompression.
Keywords	Percutaneous nephrostomy ; retrograde ureteral stent insertion ; emergency decompression ; ureteral stone ; urosepsis ; Medicine ; R
Subject code	610
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Case Report: Testicular Torsion in Unilateral Supernumerary Testis.

Xiaofei, Lu / Benzhang, Zhou

Frontiers in pediatrics

2022 Volume 10, Page(s) 823374

Abstract: Supernumerary testis (SNT), or polyorchidism, is a rare congenital anomaly of the genitourinary tract, described as the presence of more than two testicles. Testicular torsion (TT) in unilateral SNT is extremely rare. We report a case of unilateral SNT ... ...

Abstract	Supernumerary testis (SNT), or polyorchidism, is a rare congenital anomaly of the genitourinary tract, described as the presence of more than two testicles. Testicular torsion (TT) in unilateral SNT is extremely rare. We report a case of unilateral SNT in a 16-year-old boy accompanied by TT, which was diagnosed preoperatively based on the outcomes of physical examination and ultrasound and confirmed intraoperatively. We opted for orchiectomy of this SNT because of the long-time hypoperfusion. And as for the normal testis, orchidopexy was performed. His clinical presentation subsided after surgery, and the patient was discharged 3 days later.
Language	English
Publishing date	2022-04-11
Publishing country	Switzerland
Document type	Case Reports
ZDB-ID	2711999-3
ISSN	2296-2360
ISSN	2296-2360
DOI	10.3389/fped.2022.823374
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An interpretable measure of semantic similarity for predicting eye movements in reading.

Kun, Sun / Qiuying, Wang / Xiaofei, Lu

Psychonomic bulletin & review

2023 Volume 30, Issue 4, Page(s) 1227–1242

Abstract: Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study ...

Abstract	Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study proposes a novel, dynamic approach for computing contextual semantic similarity, evaluates the extent to which the semantic similarity measures computed using this approach can predict fixation durations in reading tasks recorded in a corpus of eye-tracking data, and compares the performance of these measures to that of semantic similarity measures computed using the cosine and Euclidean methods. Our results reveal that the semantic similarity measures generated by our approach are significantly predictive of fixation durations on reading and outperform those generated by the two existing approaches. The findings of this study contribute to a better understanding of how humans process words in context and make predictions in language comprehension and processing. The effective and interpretable approach to computing contextual semantic similarity proposed in this study can also facilitate further explorations of other experimental data on language comprehension and processing.
MeSH term(s)	Humans ; Semantics ; Eye Movements ; Reading ; Comprehension
Language	English
Publishing date	2023-02-02
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2031311-1
ISSN	1531-5320 ; 1069-9384
ISSN (online)	1531-5320
ISSN	1069-9384
DOI	10.3758/s13423-022-02240-8
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Article ; Online: Distinguishing the main climatic drivers to the variability of gross primary productivity at global FLUXNET sites

Hao Zhou / Xu Yue / Bin Wang / Chenguang Tian / Xiaofei Lu / Jun Zhu / Yang Cao

Environmental Research Letters, Vol 18, Iss 12, p

2023 Volume 124007

Abstract: Climate exerts both short-term and long-term impacts on the ecosystem carbon assimilation. However, the main climatic drivers for the variability of gross primary productivity (GPP) remain unclear across various timescales and vegetation types. Here, we ... ...

Abstract	Climate exerts both short-term and long-term impacts on the ecosystem carbon assimilation. However, the main climatic drivers for the variability of gross primary productivity (GPP) remain unclear across various timescales and vegetation types. Here, we combine the state-of-the-art machine learning algorithms with a well-established explanatory method to explore the impacts of climatic factors on long-term GPP variability at global FLUXNET sites across four timescales and six plant functional types. Results show that diffuse shortwave radiation (SWdif) dominates GPP variability at the sub-daily (half-hourly to three hourly) timescales especially for the tree species, and acts as the secondary contributor after air temperature at the daily or longer timescales. Attribution analyses further showed that the main effects of SWdif are much higher than their interactive effects with other climatic factors in regulating the GPP variability. By identifying the main climatic drivers, this study improves the understanding of the climate-driven GPP variability and provides important implications for the future projection of ecosystem carbon assimilation under global climate change.
Keywords	diffuse radiation ; timescales ; gross primary productivity ; variability ; plant functional type ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Science ; Q ; Physics ; QC1-999
Subject code	580
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	IOP Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Sparse SAR Imaging Method for Ground Moving Target via GMTSI-Net

Luwei Chen / Jiacheng Ni / Ying Luo / Qifang He / Xiaofei Lu

Remote Sensing, Vol 14, Iss 4404, p

2022 Volume 4404

Abstract: Ground moving targets (GMT), due to the existence of velocity in range and azimuth direction, will lead to the deviation from their true position and defocus in the azimuth direction during the synthetic aperture radar (SAR) imaging process. To address ... ...

Abstract	Ground moving targets (GMT), due to the existence of velocity in range and azimuth direction, will lead to the deviation from their true position and defocus in the azimuth direction during the synthetic aperture radar (SAR) imaging process. To address this problem and compress the amount of echo data, a sparse SAR imaging method for ground moving targets is proposed. Specifically, we first constructed a two-dimensional sparse observation model of the GMT based on matched filter operators. Then, the observation model was solved by a deep network, GMT sparse imaging network (GMTSI-Net), which was mainly obtained by unfolding an iterative soft threshold algorithm (ISTA)-based iterative solution. Furthermore, we designed an adaptive unfolding module in the imaging network to improve the adaptability of the network to the input of echo data with different sampling ratios. The proposed imaging network can achieve faster and more accurate SAR images of ground moving targets under a low sampling ratio and signal-to-noise ratio (SNR). Simulated and measured data experiments were conducted to demonstrate the performance of imaging quality of the proposed method.
Keywords	synthetic aperture radar (SAR) ; ground moving targets (GMT) ; sparse imaging ; iterative soft threshold algorithm (ISTA) ; GMT sparse imaging network (GMTSI-Net) ; Science ; Q
Subject code	600
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Aggressive intraoperative warming and postoperative pulmonary complications in elderly patients recovering from esophageal cancer surgery

Xiaofei Lu / Qiliang Jiang / Yuwei Qiu / Wei Tang / Daniel I. Sessler / Jingxiang Wu

Frontiers in Medicine, Vol

sub-analysis of a randomized trial

2023 Volume 10

Abstract: BackgroundElderly patients having esophagectomies often become hypothermic which may promote complications. We tested the hypothesis that aggressive warming to a core temperature of 37°C reduces postoperative pulmonary complications (PPCs) in elderly ... ...

Abstract	BackgroundElderly patients having esophagectomies often become hypothermic which may promote complications. We tested the hypothesis that aggressive warming to a core temperature of 37°C reduces postoperative pulmonary complications (PPCs) in elderly patients having esophageal cancer resections.MethodsThis study was a pre-defined sub-study of a multi-center, parallel group, superiority trial (PROTECT). Patients aged >65 years and having elective radical resection of esophageal cancer in a single center were randomly allocated into either aggressive warming group (target intraoperative core temperatures of 37°C) or routine thermal management group (target intraoperative core temperatures of 35.5°C). The primary endpoint was the incidence of PPCs. Secondary endpoints included duration of chest tube drainage and other postoperative complications.ResultsA total of 300 patients were included in the primary analysis. PPCs occurred in 27 (18%) of 150 patients in the aggressive warming group and 31 (21%) of 150 patients in the routine thermal management group. The relative risk (RR) of aggressive versus routine thermal management was 0.9 (95% CI: 0.5, 1.4; p = 0.56). The duration of chest drainage in patients assigned to aggressive warming was shorter than that assigned to routine thermal management: 4 (3, 5) days vs. 5 (4, 7) days; hazard ratio (HR) 1.4 [95% CI: 1.1, 1.7]; p = 0.001. Fewer aggressively warmed patients needed chest drainage for more than 5 days: 30/150 (20%) vs. 51/150 (34%); RR:0.6 (95% CI: 0.4, 0.9; p = 0.03). The incidence of other postoperative complications were similar between the two groups.ConclusionAggressive warming does not reduce the incidence of PPCs in elderly patients receiving esophagectomy. The duration of chest drainage was reduced by aggressive warming. But as a secondary analysis of a planned sub-group study, these results should be considered exploratory.Clinical trial registrationhttps://www.chictr.org.cn/showproj.aspx?proj=37099, ChiCTR1900022257.
Keywords	anesthesia ; surgery ; elderly patients ; body temperature management ; postoperative pulmonary complications ; Medicine (General) ; R5-920
Subject code	610 ; 616
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: A Fast and Robust Algorithm with Reinforcement Learning for Large UAV Cluster Mission Planning

Lei Zuo / Shan Gao / Yachao Li / Lianghai Li / Ming Li / Xiaofei Lu

Remote Sensing, Vol 14, Iss 1304, p

2022 Volume 1304

Abstract: Large Unmanned Aerial Vehicle (UAV) clusters, containing hundreds of UAVs, have widely been used in the modern world. Therein, mission planning is the core of large UAV cluster collaborative systems. In this paper, we propose a mission planning method by ...

Abstract	Large Unmanned Aerial Vehicle (UAV) clusters, containing hundreds of UAVs, have widely been used in the modern world. Therein, mission planning is the core of large UAV cluster collaborative systems. In this paper, we propose a mission planning method by introducing the Simple Attention Model (SAM) into Dynamic Information Reinforcement Learning (DIRL), named DIRL-SAM. To reduce the computational complexity of the original attention model, we derive the SAM with a lightweight interactive model to rapidly extract high-dimensional features of the cluster information. In DIRL, dynamic training conditions are considered to simulate different mission environments. Meanwhile, the data expansion in DIRL guarantees the convergence of the model in these dynamic environments, which improves the robustness of the algorithm. Finally, the simulation experiment results show that the proposed method can adaptively provide feasible mission planning schemes with second-level solution speed and that it exhibits excellent generalization performance in large-scale cluster planning problems.
Keywords	mission planning ; UAV cluster ; reinforcement learning ; attention model ; combinational optimization ; Science ; Q
Subject code	629
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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