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Article ; Online: Real-Time Analysis of Basketball Sports Data Based on Deep Learning

Peng Yao

Complexity, Vol

2021 Volume 2021

Abstract: This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real- ... ...

Abstract	This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real-time analysis of basketball sports data. The basketball posture action recognition and analysis system proposed for basketball movement is composed of two parts serially. The first part is based on the bottom-up posture estimation method to locate the joint points and is used to extract the posture sequence of the target in the video. The second part is the analysis and research of the action recognition algorithm based on the convolution of the space-time graph. According to the extracted posture sequence, the basketball action of the set classification is recognized. In order to obtain more accurate and three-dimensional information, a multitraining target method can be used in training; that is, multiple indicators can be detected and feedback is provided at the same time to correct player errors in time; the other is an auxiliary method, which is compared with ordinary training. The method can actively correct technical movements, train players to form muscle memory, and improve their abilities. Through the research of this article, it provides a theoretical basis for promoting the application of deep learning in the field of basketball and also provides a theoretical reference for the wider application of deep learning in the field of sports. At the same time, the designed real-time analysis system of basketball data also provides more actual reference values for coaches and athletes.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	796
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
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Article ; Online: Integrative soft computing approaches for optimizing thermal energy performance in residential buildings.

Peng, Yao / Chen, Yang

PloS one

2023 Volume 18, Issue 9, Page(s) e0290719

Abstract: As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design. Although different machine learning models have been promisingly employed for this problem, ... ...

Abstract	As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design. Although different machine learning models have been promisingly employed for this problem, newer sophisticated techniques still require proper attention. This study aims at introducing novel hybrid algorithms for estimating building thermal load. The predictive models are artificial neural networks exposed to five optimizer algorithms, namely Archimedes optimization algorithm (AOA), Beluga whale optimization (BWO), forensic-based investigation (FBI), snake optimizer (SO), and transient search algorithm (TSO), for attaining optimal trainings. These five integrations aim at predicting the annual thermal energy demand. The accuracy of the models is broadly assessed using mean absolute percentage error (MAPE), root mean square error (RMSE), and coefficient of determination (R2) indicators and a ranking system is accordingly developed. As the MAPE and R2 reported, all obtained relative errors were below 5% and correlations were above 92% which confirm the general acceptability of the results and all used models. While the models exhibited different performances in training and testing stages, referring to the overall results, the BWO emerged as the most accurate algorithm, followed by the AOA and SO simultaneously in the second position, the FBI as the third, and TSO as the fourth accurate model. Mean absolute error (MAPE) and Considering the wide variety of artificial intelligence techniques that are used nowadays, the findings of this research may shed light on the selection of proper techniques for reliable energy performance analysis in complex buildings.
MeSH term(s)	Animals ; Artificial Intelligence ; Algorithms ; Beluga Whale ; Engineering ; Hot Temperature
Language	English
Publishing date	2023-09-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0290719
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Article ; Online: Rapid detection method of bacterial pathogens in surface waters and a new risk indicator for water pathogenic pollution.

Gao, Min / Tan, Feiyang / Shen, Yuan / Peng, Yao

Scientific reports

2024 Volume 14, Issue 1, Page(s) 1614

Abstract: In this study, a accurate, rapid quantitative PCR method for the simultaneous detection of 4 kinds of pathogenic bacteria in water was established, and the distribution of pathogenic bacteria in surface waters with different levels of pollution (Yulin ... ...

Abstract	In this study, a accurate, rapid quantitative PCR method for the simultaneous detection of 4 kinds of pathogenic bacteria in water was established, and the distribution of pathogenic bacteria in surface waters with different levels of pollution (Yulin region, China) was detected. The results showed that the detection accuracy was 94%; the detection limit was 2.7 in bacterial cells. Salmonella enterica subsp. enterica serovar typhimurium and Salmonella dysenteria were always present in water when the universal primer for pathogenic bacteria abundance detection was greater than 10
MeSH term(s)	Bacteria/genetics ; Salmonella typhimurium ; Water Pollution ; China
Language	English
Publishing date	2024-01-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-49774-y
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Article ; Online: Abundance of Low-Energy Oxygen Vacancy Pairs Dictates the Catalytic Performance of Cerium-Stabilized Zirconia.

Peng, Yao / Si, Xia-Lan / Shang, Cheng / Liu, Zhi-Pan

Journal of the American Chemical Society

2024 Volume 146, Issue 15, Page(s) 10822–10832

Abstract: Cerium-stabilized zirconia ( ... ...

Abstract	Cerium-stabilized zirconia (Ce
Language	English
Publishing date	2024-04-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	3155-0
ISSN	1520-5126 ; 0002-7863
ISSN (online)	1520-5126
ISSN	0002-7863
DOI	10.1021/jacs.4c01285
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Article ; Online: Does Chronic Obstructive Pulmonary Disease Affect Workers' Health?

Li-Peng Yao / Ran Tao

Frontiers in Public Health, Vol

2021 Volume 9

Abstract: During recent decades, the elevation of workers' health has become the utmost point of concern since it is considered among the primary indicators of economies. The economies, especially the emerging ones, are primarily focusing on every indicator to ... ...

Abstract	During recent decades, the elevation of workers' health has become the utmost point of concern since it is considered among the primary indicators of economies. The economies, especially the emerging ones, are primarily focusing on every indicator to uplift their businesses. Along with the other aspects, it is also required to assess the impact of Chronic Obstructive Pulmonary Disease (COPD) on workers' health conditions in small- and medium-scale enterprises (SMEs). With this aim, we are presenting a detailed analysis to reveal useful insights regarding the COPD-workers' health nexus. The sample set of 1,008 workers is working in various SMEs in Beijing and Tianjin from September, 2020. The findings infer that a rise in COPD concerning wages will uplift the worker health problems due to COPD affecting worker health. Whereas, the working condition and tools, smoking years, and health safety training have a statistically adverse effect on workers' health concerning wages. The outcomes in terms of insights would be useful for planning future perspectives.
Keywords	COPD ; workers health ; probit model ; SMEs ; China ; Public aspects of medicine ; RA1-1270
Subject code	300
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: Study of the biofilm mechanism of C4-HSL and C6-HSL in the degradation of quinoline.

Gao, Min / Peng, Yao / Shen, Yuan / Tan, Feiyang

Journal of biotechnology

2023 Volume 376, Page(s) 53–63

Abstract: Quinoline is a hard-to-degrade organic compound widely found in coal chemical wastewater, that seriously affects the ecological environment and human health. A number of biochemical methods are already available for quinoline degradation, but the use of ... ...

Abstract	Quinoline is a hard-to-degrade organic compound widely found in coal chemical wastewater, that seriously affects the ecological environment and human health. A number of biochemical methods are already available for quinoline degradation, but the use of microbial community sensing for quinoline degradation has not been studied in depth. Therefore, this paper focuses on the enhanced mechanism of quorum-sensing signaling molecules in the biofilm formation process during quinoline degradation by functional strains of bacteria. In this paper, the effects of the signal molecules C4-HSL and C6-HSL on the adhesion ability, colony diameter, biofilm formation ability and biofilm morphology of functional strains of quinoline degrading bacteria (Ochrobactrum sp., LC-1) were investigated, and the results showed that both signal molecules promoted the biofilm formation process during the degradation of quinoline by exhibiting an efficient biofortification effect. Both signal molecules could enhance the colony diameter of strain LC-1, where C4-HSL could enhance the biomass of strain LC-1 and stimulate the secretion of extracellular polysaccharides; and C6-HSL could induce the enhancement of adhesion performance and the secretion of extracellular proteins from strain LC-1; both molecules together enhanced the biofilm formation process of strain LC-1. This study has practical application in the degradation of quinoline in coal chemical wastewater.
MeSH term(s)	Humans ; Wastewater ; Biofilms ; Quorum Sensing ; Bacteria ; Quinolines/pharmacology ; Coal
Chemical Substances	N-butyrylhomoserine lactone ; Wastewater ; Quinolines ; Coal
Language	English
Publishing date	2023-10-07
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	843647-2
ISSN	1873-4863 ; 0168-1656 ; 1389-0352
ISSN (online)	1873-4863
ISSN	0168-1656 ; 1389-0352
DOI	10.1016/j.jbiotec.2023.10.002
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Article ; Online: Clinicopathologic and prognostic factors of patients with T3/T4 colorectal signet ring cell carcinoma: a population-based study.

Zhang, Fan / Xu, Boqi / Peng, Yao / Mao, Zhongqi

Journal of cancer research and clinical oncology

2023 Volume 149, Issue 12, Page(s) 9747–9756

Abstract: Background: To evaluate cancer-specific survival (CSS) and construct a nomogram to predict the CSS of patients with colorectal signet ring cell carcinoma (SRCC).: Methods: The data for patients with colorectal SRCC from 2000 to 2019 was identified ... ...

Abstract	Background: To evaluate cancer-specific survival (CSS) and construct a nomogram to predict the CSS of patients with colorectal signet ring cell carcinoma (SRCC). Methods: The data for patients with colorectal SRCC from 2000 to 2019 was identified from Surveillance, Epidemiology, and End Results (SEER) database. Propensity Score Matching (PSM) was used to minimize bias between SRCC and adenocarcinoma patients. Kaplan-Meier method and log-rank test were used to estimate the CSS. A nomogram was constructed based on the independent prognostic factors identified by univariate and multivariate Cox proportional hazards regression analyses. The model was evaluated by receiver operating characteristic (ROC) curves and calibration plots. Results: Poor CSS was more common in patients with colorectal SRCC, especially in patients with T4/N2 stage, tumor size > 80 mm, grade III-IV, and chemotherapy. Age, T/N stage, and tumor size > 80 mm were identified as independent prognostic indicators. And a prognostic nomogram was constructed and validated as an accurate model for the CSS of patients with colorectal SRCC by ROC curves and calibration plots. Conclusion: Patients with colorectal SRCC have a poor prognosis. And the nomogram was expected to be effective in predicting the survival of patients with colorectal SRCC.
MeSH term(s)	Humans ; Prognosis ; Carcinoma, Signet Ring Cell ; Colorectal Neoplasms/pathology ; Adenocarcinoma/pathology ; Nomograms ; SEER Program
Language	English
Publishing date	2023-05-28
Publishing country	Germany
Document type	Journal Article
ZDB-ID	134792-5
ISSN	1432-1335 ; 0171-5216 ; 0084-5353 ; 0943-9382
ISSN (online)	1432-1335
ISSN	0171-5216 ; 0084-5353 ; 0943-9382
DOI	10.1007/s00432-023-04880-2
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Article ; Online: Predicting esophagojejunal anastomotic leakage in gastric cancer patients after total gastrectomy: Development and assessment of a new predictive nomogram.

Xu, Boqi / Zhang, Fan / Peng, Yao / Tong, Shan

Asian journal of surgery

2023 Volume 47, Issue 1, Page(s) 528–530

MeSH term(s)	Humans ; Anastomotic Leak/diagnosis ; Anastomotic Leak/etiology ; Anastomotic Leak/surgery ; Stomach Neoplasms/surgery ; Nomograms ; Postoperative Complications/etiology ; Postoperative Complications/surgery ; Anastomosis, Surgical/adverse effects ; Gastrectomy/adverse effects ; Retrospective Studies
Language	English
Publishing date	2023-09-27
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.09.093
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Article ; Online: Effect of wound infiltration of dexmedetomidine in lumbar spine surgery on postoperative wound pain: A meta-analysis.

Wang, Xiaoping / Peng, Yao / Si, Yao / Hu, Xi

International wound journal

2023 Volume 21, Issue 3, Page(s) e14523

Abstract: In a meta-study, we evaluated the effectiveness and security of the combination of topical anaesthetic and dexmedetomidine in the treatment of postoperative pain in patients with lumbar disease. Four databases were systematically searched for possible ... ...

Abstract	In a meta-study, we evaluated the effectiveness and security of the combination of topical anaesthetic and dexmedetomidine in the treatment of postoperative pain in patients with lumbar disease. Four databases were systematically searched for possible related articles. Only English-language research was taken into account on the Internet. Furthermore, we only took into account the studies that were published prior to 2023. Only those that fulfilled the eligibility criteria were considered: (1) in adults who were about to undergo spine operation, (2) dexmedetomidine combined with local anaesthesia, (3) Visual Analog Scale scores at 4 and 24 h after the event and (4) this was a randomized or nonrandomized, controlled study. The meta-analysis was carried out with Revman 5.3 software. A ROBINS-I-based instrument was used to evaluate controlled studies. All trials were synthesized by computing the end results with either a fixed or a random effect model, which was dependent on statistical diversity. Five trials showed a marked reduction in wound pain at 4 h after the operation in patients who were treated with dexmedetomidine for lumbar spinal surgery (MD, -0.81; 95% CI, -1.24, -0.35; p = 0.0005). In the case of lumbar spinal operations, the addition of dexmedetomidine to the postoperative treatment resulted in a marked reduction in the pain at 24 h post-operation (MD, -0.64; 95% CI, -0.79, -0.48; p < 0.0001). The quality of the data we evaluated was 'moderate' to 'good'; thus, we have limited confidence in the impact estimation, and the actual impact might be significantly different from what we had expected. Additional studies should concentrate on practices that are well known to cause severe postoperative pain, especially for cases where the improvement of pain management may lead to substantial clinical benefits in terms of reduction of morbidity or cost-effectiveness in terms of quicker healing and release.
Language	English
Publishing date	2023-12-05
Publishing country	England
Document type	Journal Article
ZDB-ID	2170920-8
ISSN	1742-481X ; 1742-4801
ISSN (online)	1742-481X
ISSN	1742-4801
DOI	10.1111/iwj.14523
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Article ; Online: Spatial and temporal characteristics of carbon emission and sequestration of terrestrial ecosystems and their driving factors in mainland China—a case study of 352 prefectural administrative districts

Jingyuan Lin / Yi Guo / Jiayan Li / Ming Shao / Peng Yao

Frontiers in Ecology and Evolution, Vol

2023 Volume 11

Abstract: IntroductionGlobal climate change, increase in human activities, and prominence of ecological issues have led to uneven quantitative and spatial distributions of carbon emission and sequestration of terrestrial ecosystems. Such uneven distributions can ... ...

Abstract	IntroductionGlobal climate change, increase in human activities, and prominence of ecological issues have led to uneven quantitative and spatial distributions of carbon emission and sequestration of terrestrial ecosystems. Such uneven distributions can lead to more negative impacts on the natural environment and human living conditions.MethodsTherefore, based on the carbon neutralization policy, we conducted geographically weighted regression (GWR) modeling in this study using panel data from 352 Chinese prefectural administrative districts in 2000, 2005, 2010, and 2017 to analyze and determine the impact factors and their spatial distribution for carbon emission and sequestration of terrestrial ecosystems.ResultsOur results showed that total population (TP), per capita gross domestic product (GDP) (PCG), proportion of secondary industry output (PSIO), scale of urban built-up area (SUB), green space proportion in city areas (GSP), normalized difference vegetation index (NDVI), and temperature (TEM) are factors driving carbon sequestration and carbon emission. The spatial distribution of these driving factors in mainland China is: (1) TP showed a negative correlation to carbon emission in most areas, while it exhibited a positive correlation to carbon sequestration in the southern, southwestern, and western parts of northwest China; however, in all other areas, TP showed a negative correlation with carbon sequestration; (2) PCG was positively correlated to carbon emission in most areas of China and to carbon sequestration in southwest, south, central, and northeast China; however, PCG demonstrated a negative correlation to carbon sequestration in the remaining areas; (3) PSIO and SUB presented a positive correlation to carbon emission and a negative correlation to carbon sequestration in most areas; (3) In contrast, GSP showed a negative correlation to carbon emission and a positive correlation to carbon sequestration in most areas; (5)NDVI showed a negative correlation to carbon emission and carbon sequestration ...
Keywords	carbon emission ; carbon sequestration ; terrestrial ecosystems ; driving factors ; spatial and temporal characteristics ; Evolution ; QH359-425 ; Ecology ; QH540-549.5
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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