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Using a two‐step molding process, wood plastic composite (WPC) were prepared under temperatures ranging from 160 to 180°C. Uniaxial compression tests of WPC were conducted at temperatures of −20°C, 0°C, 20°C, and 40°C, determining stress levels of 30%, 45%, and 60% based on the test results. Subsequently, 24‐hour compression creep tests were performed for WPC under 12 different conditions. The Findley power law model was employed to fit the experimental results, indicating that creep deformation increased with both stress level and environmental temperature. Notably, specimens at 0°C failed after sustaining a load for 13.6 hours at 60% stress, while those at 20°C failed after only 0.72 hours under the same conditions. Overall, the Findley model effectively predicted the creep behavior of WPC under all temperature conditions and stress levels. Highlights: The influence of temperature variation on the strength of WPC.Short term creep of WPC under different stress levels.Creep of WPC at different temperatures.Prediction of creep performance under different operating conditions. [ABSTRACT FROM AUTHOR]

The timely and accurate mapping of sugarcane cultivation is significant to ensure the sustainability of the sugarcane industry, including sugarcane production, rural society, sugar futures, and crop insurance. Synthetic aperture radar (SAR), due to its all-weather and all-time imaging capability, plays an important role in mapping sugarcane cultivation in cloudy areas. However, the inherent speckle noise of SAR data worsens the "salt and pepper" effect in the sugarcane map. Therefore, in previous studies, an additional land cover map or optical image was still required. This study proposes a new application paradigm of time series SAR data for sugarcane mapping to tackle this limitation. First, the locally estimated scatterplot smoothing (LOESS) smoothing technique was exploited to reconstruct time series SAR data and reduce SAR noise in the time domain. Second, temporal importance was evaluated using RF MDA ranking, and basic parcel units were obtained only based on multi-temporal SAR images with high importance values. Lastly, the parcel-based classification method, combining time series smoothing SAR data, RF classifier, and basic parcel units, was used to generate a sugarcane extent map without unreasonable sugarcane spots. The proposed paradigm was applied to map sugarcane cultivation in Suixi County, China. Results showed that the proposed paradigm was able to produce an accurate sugarcane cultivation map with an overall accuracy of 96.09% and a Kappa coefficient of 0.91. Compared with the pixel-based classification result with original time series SAR data, the new paradigm performed much better in reducing the "salt and pepper" spots and improving the completeness of the sugarcane plots. In particular, the unreasonable non-vegetation spots in the sugarcane map were eliminated. The results demonstrated the efficacy of the new paradigm for mapping sugarcane cultivation. Unlike traditional methods that rely on optical remote sensing data, the new paradigm offers a high level of practicality for mapping sugarcane in large regions. This is particularly beneficial in cloudy areas where optical remote sensing data is frequently unavailable. [ABSTRACT FROM AUTHOR]

The problem of loneliness among college students has attracted extensive attention from researchers. As a fundamental psychological framework, personality traits are associated with loneliness. Thus, we conducted a survey of 688 college students in Mainland China to examine the relationship between the HEXACO personality traits and loneliness. Regression analysis revealed a negative association between loneliness and the personality traits of agreeableness, conscientiousness, and openness to experience, and a positive association between loneliness and the personality traits of honesty–humility, emotionality, and extraversion. This model explained 33.78% of the variance in loneliness. Implications of the findings are discussed. [ABSTRACT FROM AUTHOR]

Zhao, L., Su, P., & Yang, Y. (2023). The HEXACO personality traits as predictors of Chinese undergraduates' academic performance. Social Behavior and Personality: An international journal , 51 (12), e12650. https://doi.org/10.2224/sbp.12650 The above article has been retracted by agreement between the publisher of this journal, Scientific Journal Publishers Limited, the journal's Editor-in-Chief, Dr. Robert A. C. Stewart, and Managing Editor, Alexandra Cheyne, and the submitting author, Longlong Zhao. Concerns were raised by a reader about the reliability of the dataset, and after investigation and analysis of the item-level dataset by external reviewers and journal editors, discrepancies were revealed that cannot be explained by sampling errors or naturally occurring fluctuations. These anomalies in the Zhao data suggest that both the data and resulting conclusions cannot be considered reliable. For this reason, retraction was agreed upon. [ABSTRACT FROM AUTHOR]

Chang, K., & Zhao, L. (2024). The HEXACO model of personality is associated with loneliness in a university setting. Social Behavior and Personality: An international journal , 52 (1), e12741. https://doi.org/10.2224/sbp.12741  The above article has been retracted by agreement between the publisher of this journal, Scientific Journal Publishers Limited, the journal's Editor-in-Chief, Dr. Robert A. C. Stewart, and Managing Editor, Alexandra Cheyne, and the submitting author, Longlong Zhao. Concerns were raised by a reader about the reliability of the dataset, and after investigation and analysis of the item-level dataset by external reviewers and journal editors, discrepancies were revealed that cannot be explained by sampling errors or naturally occurring fluctuations. These anomalies in the Zhao data suggest that both the data and resulting conclusions cannot be considered reliable. For this reason, retraction was agreed upon. [ABSTRACT FROM AUTHOR]