Research on Momentum Analysis of Tennis Match Based on Machine Learning DOI Creative Commons

Yijie Hao,

Jiachen Chang

Highlights in Science Engineering and Technology, Journal Year: 2024, Volume and Issue: 98, P. 372 - 378

Published: May 16, 2024

This study aims to quantify momentum changes in tennis matches by building a machine learning model and investigate their impact on match outcomes. Firstly, is established the value of players defining basic points, break guaranteed points continuous points. Then, curve calculated using real data, its high with trend verified. correlation between result tested statistical test method. The results show that there significant victory. Further, displacement verifies change not random, but reflects actual game. proves plays an important role matches, has results, which provides reference for further research application momentum.

Language: Английский

Using visible-near infrared spectroscopy to estimate whole-profile soil organic carbon and its fractions DOI Creative Commons

Mingxuan Qi,

Songchao Chen, Yu‐Chen Wei

et al.

Soil & Environmental Health, Journal Year: 2024, Volume and Issue: 2(3), P. 100100 - 100100

Published: July 18, 2024

Soil organic carbon (SOC) is crucial for soil health and quality, its sequestration has been suggested as a natural solution to climate change. Accurate cost-efficient determination of SOC functional fractions essential effective management. Visible near-infrared spectroscopy (vis-NIR) emerged approach. However, ability predict whole-profile content rarely assessed. Here, we measured two fractions, particulate (POC) mineral-associated (MAOC), down depth 200 ​cm in seven sequential layers across 183 dryland cropping fields northwest, southwest, south China. Then, vis-NIR spectra the samples were collected train machine learning model (partial least squares regression) SOC, POC, MAOC, ratio MAOC (MAOC/SOC – an index vulnerability). We found that accuracy indicated by coefficient validation (Rval2) 0.39, 0.30, 0.49, 0.48 MAOC/SOC, respectively. Incorporating mean annual temperature improved performance, Rval2 was increased 0.64, 0.31, 0.63, 0.51 four variables, Further incorporating into 0.82, 0.59, These results suggest combining with readily-available data total measurements enables fast accurate estimation POC diverse environmental conditions, facilitating reliable prediction dynamics over large spatial extents.

Language: Английский

Citations

4
Drivers and spatial distribution of soil organic carbon and total nitrogen in China’s drylands DOI
Shihang Zhang,

Yusen Chen,

Zhu Bo

et al.

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108724 - 108724

Published: Jan. 22, 2025

Language: Английский

Citations

0
Litter and Root Removal Modulates Soil Organic Carbon and Labile Carbon Dynamics in Larch Plantation Ecosystems DOI Open Access
Zhenzhen Hao, Ping Li,

Qilang Le

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1958 - 1958

Published: Nov. 7, 2024

Plant detritus plays a crucial role in regulating belowground biogeochemical processes forest ecosystems, particularly influencing labile carbon (C) dynamics and overall soil C storage. However, the specific mechanisms by which litter roots affect organic (SOC) its components plantations remain insufficiently understood. To investigate this, we conducted input removal treatment (DIRT) experiment Larix principis-rupprechtii Mayr plantation Taiyue Mountains, China, July 2014. The comprised three treatments: root retention (CK), (LR), (RLR). Soil samples were collected from depths of 0–10 cm 10–20 during June, August, October 2015 to evaluate changes pH, water content (SW), SOC, dissolved (DOC), readily oxidizable (ROC), microbial biomass (MBC). significantly increased pH (p < 0.05), with values being 8.84% 8.55% higher LR RLR treatments, respectively, compared CK treatment. SOC levels reduced 26.10% 12.47% respectively 0.05). Similarly, DOC MBC concentrations decreased following removal, August 2.5 times lower than June. Across all treatments sampling seasons, was consistently depth, exhibiting increases 35.15% 39.44% depth 0.001). Significant negative correlations observed between ratios ROC/SOC, DOC/SOC, MBC/SOC (R = −0.54 −0.37; p Path analysis indicated that had significant direct effect on standardized path coefficient (β) −0.36, while ROC positive (β 0.66, Additionally, indirectly affected −0.69), thereby impacting indirectly. Random also confirmed ROC/SOC ratio critical regulation. This study reveals complex interactions larch plantations, identifying as regulator content. short-term duration focus shallow limit our understanding long-term impacts deeper Future research should explore these aspects consider varying climate conditions enhance applicability findings. These insights provide scientific foundation for developing effective management strategies forecasting storage context change.

Language: Английский

Citations

3
Effects of Long-Term Land Use Patterns on Labile Organic Carbon Fractions and Carbon Pool Management Index of Mollisols Humus Layers DOI Creative Commons

Xinqu Duo,

Jinggui Wu,

Wei Cheng

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1006 - 1006

Published: Jan. 21, 2025

Land use patterns significantly influence the quantity and composition of litter in soil humus layers, thereby affecting dynamics organic carbon. However, differences labile carbon fractions sequestration index under different land patterns, as well their impact on storage layers mollisols—without migration loss erosion—remain unclear. Labile is classified into such dissolved carbon, easily oxidized particulate microbial biomass which are identified through chemical extraction methods. This study investigates long-term dynamics, pools, KOS, CPMI mollisols across five treatments: SC (continuous soybean cultivation), MC maize MSR (maize–soybean rotation), GB (grass belt), FB (forest belt). It also selects three depths (0–20 cm, 20–40 40–60 cm) over an 11-year period for analysis. The results indicate that (EOC, POC, DOC, MBC), decrease with depth, while KOS increases. Non-tillage treatments enhance SOC accumulation exhibiting highest content, surpassing GB, MC, SC, by 22.88%, 52.35%, 60.64%, 80.12%, respectively. can fractions, aligning observed trends treatment optimal. Additionally, these increase CPMI, improving stability. To minimize loss, should encourage conversion farmland to grassland forest, recommended optimal strategy protection sustainable development soils long term. approach significant understanding cycle, rationally planning strategies, providing a reference enhancing quality ecosystem sinks.

Language: Английский

Citations

0
Nitrogen-induced acidification increases soil organic carbon accrual by promoting particulate organic carbon and microbial necromass under long-term experiment in the paddy soils of East China DOI
Zhaoming Chen, Qiang Wang,

Jinchuan Ma

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract Background and aims Nitrogen (N) addition can substantially affect soil carbon cycling in agroecosystems. Microbial necromass (MNC) is widely recognized as a key contributor to organic C (SOC) fractions. However, the mechanisms underlying responses of MNC SOC fractions N fertilization paddy soils remain unclear. Methods A field experiment with four rates, namely, 0, 300, 450, 600 kg ha–1 yr–1 was conducted determine effects on fractions, microbial (MNC), enzyme activity, biomass rice–wheat rotation. Results increased POC concentrations by 2.88–8.41% 14.6–41.2%, respectively, but did not MAOC. The ratio MAOC reduced addition, indicating that decreased stability. concentration 7.32–22.5% its contribution 4.14–13.7%. activity β-1,4-N-acetyl-glucosaminidase decreased, while activities leucine amino peptidase acid phosphatase were under P addition. Structural equation modeling random forest revealed N-induced decrease pH promoted accrual increasing root biomass, consequently improving POC. Conclusions likely more vulnerable than acidification primary driver for promoting soils.

Language: Английский

Citations

0
Changes of Soil Aggregate Carbon Components and Responses to Plant Input During Vegetation Restoration in the Loess Plateau,China DOI

Yaoyue Liang,

Jingbo Fang,

Hanyu Liu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1
Unveiling the global dynamics of dissolved organic carbon in aquatic ecosystems: Climatic and anthropogenic impact, and future predictions DOI
Yang Guo,

H. Peng,

Qirui Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 178109 - 178109

Published: Dec. 17, 2024

Language: Английский

Citations

1
Research on Momentum Analysis of Tennis Match Based on Machine Learning DOI Creative Commons

Yijie Hao,

Jiachen Chang

Highlights in Science Engineering and Technology, Journal Year: 2024, Volume and Issue: 98, P. 372 - 378

Published: May 16, 2024

This study aims to quantify momentum changes in tennis matches by building a machine learning model and investigate their impact on match outcomes. Firstly, is established the value of players defining basic points, break guaranteed points continuous points. Then, curve calculated using real data, its high with trend verified. correlation between result tested statistical test method. The results show that there significant victory. Further, displacement verifies change not random, but reflects actual game. proves plays an important role matches, has results, which provides reference for further research application momentum.

Language: Английский

Citations

0