Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

“…The results show that changes in engine control parameters have significant influences on NOx and soot emissions from the engine, which can serve as the basis for the selection of the LGB model features; the LGB model was able to accurately predict pollutant concentrations from the engine with much higher accuracy than a single decision tree (DT) model; combining with HHO, the predictive ability of the LGB model was significantly improved, such as for the validation set prediction results, the mean absolute error (MAE) was reduced by about 20%, the mean squared error (MSE) was reduced by about 30%, and the coefficient of determination (R²) was increased by about 0.005; and the importance analysis of the model features indicated that the combustion condition of the fuel was highly correlated with the generation of the pollutants, and the fuel injection phases can be adjusted in practice to achieve highly efficient and low-emission processes of combustion. …”
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Study on the crack self-healing performance of nano-micro silica modified hydrogel by MA Mengyang, LI Ting, WANG Tie, LONG Yong, SU Ying, YANG Jin

“…This enabled the cracked samples to have a lower gas permeability coefficient, especially under 0.3 mm wide cracks, showing a more explicit healing effect; (2) For 0.1 mm narrow cracks, hydrogels already exhibited good crack healing effects at a low dosage of 1 %, while for 0.3 mm wide cracks, hydrogels only demonstrated a higher healing efficiency at a high dosage of 3 %; (3) Either under wide crack or narrow crack conditions, the gas permeability of cracked samples containing larger initial particle size hydrogels was significantly lower than that of smaller particle size samples, indicating that hydrogel with larger particle size has better crack healing ability.…”
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Evaluation of visual function within the central 10 degrees using IMOvifa™ 24plus (1-2). by Yuki Takagi, Ryo Asano, Kana Yamashita, Yukihiro Sakai, Sho Yokoyama, Kei Ichikawa, Kazuo Ichikawa

“…We used Spearman's rank correlation coefficient to analyze the mean deviation (MD) and pattern standard deviation (PSD) between HFA 10-2 and IMOvifa™. …”
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Study on effect of tobacco seed pelleting on germination and seedling emergence by H. Zamani, H.R. Mobasser, A. Hamidi, A.R. Daneshmand

“…Based on this research results pelletted seed with 1.5mm diameter had better germination ability and seedling emergence…”
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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data reconstruction method reorganizes and transforms the original data to extract more representative features, significantly improving the model's generalization ability and prediction accuracy, with a coefficient of determination (R2) of 95.9 % for the ultimate tensile strength (UTS) model and a R2 of 95.3 % for the elongation-to-failure (EL) model. …”
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Adulteration Detection and Origin Identification of Yak Milk Powder Based on Near-infrared Spectroscopy Technology by Haiyang PENG, Zhongdong WU, Tao LIN, Hongcheng LIU, Ying GU

“…The calibration set correlation coefficient (Rc), the prediction set correlation coefficient (Rp), the root mean square error of prediction (RMSEP), and the ratio of performance to deviation (RPD) of the adulteration quantitative prediction model were 0.9975, 0.9913, 1.9823%, and 7.2522, respectively. …”
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A study on safety against derailment of twisted track based on EN 14363 standard by FENG Yang, ZHOU Cheng, LIANG Haixiao, ZHANG Zhibo, XUE Yuan

“…The slewing resistance coefficient not exceeding 0.1 and the rate of wheel load reduction not exceeding 0.6 shall be regarded as the assessment limit. …”
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Development and validation of a questionnaire to measure the congenital heart disease of children’s family stressor by Yi Zhang, Hang Zhou, Yangjuan Bai, Zhisong Chen, Yanjiao Wang, Qiulan Hu, Mingfang Yang, Wei Wei, Lan Ding, Fang Ma

“…Studies have shown that nursing interventions focusing on family stress management can improve parents’ ability to cope with illness and promote family health. …”
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A detailed study on the physical, mechanical, structural and gamma ray shielding properties of Al2O3–Na2O–SiO2–B2O3–Bi2O3glass system by M.I. Sayyed, Ashok Kumar, Taha A. Hanafy, Yasser Maghrbi

“…The glasses' highest mass attenuation coefficient (MAC) is at 0.0395 MeV, the lowest energy value. …”
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Quantitative prediction of water quality in Dongjiang Lake watershed based on LUCC by Yang Song, Xiaoming Li, Ying Zheng, Gui Zhang

“…Random Forest (achieving a Kappa coefficient of 0.9468) were employed to classify land use within the watershed. …”
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Application of Cellular Automata and Markov Chain model for urban green infrastructure in Kuala Lumpur, Malaysia by Jafarpour Ghalehteimouri Kamran, Che Ros Faizah, Rambat Shuib

“…The decrease of UGI, especially natural forest and artificial forest, may reduce the diversity of ecosystem services and the ability of Kuala Lumpur to build resilience in the future. …”
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Assessing Credit Risk in the Sphere of Commercial Lending to Organizations of the Kemerovo Region by Chernichenko S., Kotov R.

“…Commercial credit expands the ability of enterprises to maneuver their working capital. …”
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Association between quality performance scorecard scores and health indicators: an ecological study in the Northern provinces of the Lao People’s Democratic Republic by Vixayyang Chayvangmanh, Noudéhouénou Credo Adelphe Ahissou, Khamsay Detleuxay, Daisuke Nonaka

“…The QPS scores were significantly independently associated with U5MR (unstandardized regression coefficient: −0.225 and standardized regression coefficient: −0.894), OPD visits (−0.004 and −0.114) and ANC4 coverage (−0.036 and −0.117). …”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…We introduce a new module, Fusion block, in our architecture that enhances its precise localisation as well as classification ability by capturing multilevel as well as multiscale features. …”
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Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…The optimal model achieved a correlation coefficient of 0.868 and demonstrated a certain degree of generalization ability on the test set. …”
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Analysis of the Determinants of Education Expenditures in Malaysia by Najumunisha Abdul Jabbar, Doris Padmini Selvaratnam

“… Expenditure on education helps in improving the skill formation and raises the ability of individuals to produce and work. It is said to be an investment in human capital which is closely connected with the economic development. …”
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Mitochondria-targeted nanoparticles for encapsulating astaxanthin: exploring the reason for alleviating oxidative damage by Yannan Chen, Siyuan Fei, Lijuan Zhang, Mingqian Tan

“…As expected, mitochondria-targeted nanoparticle showed excellent mitochondria co-localization ability with higher Pearson’s correlation coefficient (r = 0.88). …”
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Printable Carbon‐Based Thermogalvanic Cells by Pedro Santos Candiotto de Oliveira, Ujwala Ail, Zia Ullah Khan, Reverant Crispin, Dan Zhao

“…As a unique member of the thermoelectric device family, TGCs provide advantages such as cost‐effective and sustainable materials, a relatively high Seebeck coefficient, and the ability to generate continuous output power. …”
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Towards a Retrieval-Augmented Generation Framework for Originality Evaluation in Projects-Based Learning Classrooms by Samuel Yanes Luis, Daniel Gutiérrez Reina, Sergio Toral Marín

“…The proposed RAG system demonstrates its ability to systematically detect similarities and potential lack of originality that might be overlooked by human evaluators due to the volume of prior work. …”
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Imputasi Data Temperatur Maksimum Menggunakan Metode Support Vector Regression by Isa Kholifatus Sukhna, Brina Miftahurrohmah, Catur Wulandari, Putri Amelia

“…The choice of the SVR method is based on its ability to handle data with complex structures. Modeling is conducted separately for each station using the Radial Basis Function (RBF) kernel. …”
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