Article
Physics, Multidisciplinary
Linkang Han, Shiming Chen, Huanyang Chen
Summary: We discovered that a one-dimensional groove array can mimic negative water depth and generate unidirectional surface polaritons for water waves. Through theoretical analysis, numerical simulations, and experiments, we explained this phenomenon, demonstrating that the propagation direction of water waves can be controlled using such simple structures. This has significant implications for offshore transportation and environmental protection.
PHYSICAL REVIEW LETTERS
(2022)
Article
Multidisciplinary Sciences
Samuel Asumadu Sarkodie, Phebe Asantewaa Owusu, John Taden
Summary: A sustainable transition to green growth is crucial for addressing climate change. However, the lack of clear definitions and common measures makes it difficult to provide guidance to policymakers. In this study, we construct green growth measures for 203 countries from 1990 to 2021, considering dimensions such as natural resources, socio-economic outcomes, environmental productivity, policy responses, and quality of life. Our novel summary index technique controls for correlated variables and missing values, providing valuable indicators for country-specific and global modeling on green economic development.
Article
Energy & Fuels
Piotr Sosnowski, Iwona Jelonek
Summary: This paper presents the first attempt to develop the facies model of the entire Carboniferous coal deposit in the western part of the Upper Silesian Coal Basin. The study reveals the sedimentological evolution and facies development of the Knur coal deposit, indicating the influence of the river system and the correlation between fault occurrence and coal facies.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Kun Cheng, Kangxu He, Qiang Fu, Kotaro Tagawa, Xinxin Guo
Summary: This study evaluates the coordination of regional water and soil resources and ecological environment systems using speed characteristics. The research finds that the level of coordinated development of the system is low, but the calculation method using speed characteristics better reflects the coupling and coordination of the system and allows for early assessment.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Multidisciplinary Sciences
Caspar T. J. Roebroek, Gregory Duveiller, Sonia I. Seneviratne, Edouard L. Davin, Alessandro Cescatti
Summary: Carbon storage in forests serves as a critical means to prevent global warming beyond 1.5 degrees C. Nonetheless, the worldwide impact of forest management, such as harvesting, on carbon balance remains inadequately assessed. Through the integration of global forest biomass, management data, and machine learning, we reveal that a maximum of 44.1 petagrams of carbon could be added to aboveground forest biomass by reducing human intervention, given current climate conditions and CO2 concentration. This would represent a 15 to 16% increase compared to current levels, equivalent to approximately 4 years of anthropogenic CO2 emissions. Hence, without substantial emission reductions, this approach offers limited mitigation potential and preserving the forest carbon sink should primarily aim to offset ongoing carbon emissions.
Article
Economics
Elyas Elyasiani, Luca Gambarelli, Silvia Muzzioli
Summary: This paper introduces a skewness index for the Italian stock market and explores its relations with volatility and market returns, finding that the skewness index reflects market greed more than fear. Increases in the skewness index are significantly related to market returns, with conflicting signals between volatility and skewness. Investors are advised to rely on volatility rather than skewness when the two indices move in the same direction.
Article
Endocrinology & Metabolism
Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
Summary: This study aimed to examine the associations between modifiable risk factors and glycemic status changes in individuals with prediabetes. The results showed that factors such as BMI, abdominal obesity, heavy drinking, hypertension, and dyslipidemia were associated with a lower possibility of normoglycemia reversion, while factors such as BMI, abdominal obesity, smoking, and hypertension were associated with a higher probability of type 2 diabetes progression. Having more favorable modifiable factors was also associated with normoglycemia reversion and type 2 diabetes progression.
Article
Agriculture, Dairy & Animal Science
X. Zhang, P. Amer
Summary: A new emphasis method adjusted by both accuracy and genetic correlation is proposed to better reflect the actual selection emphasis applied in practice. This method groups genetically highly correlated traits into subindexes and calculates each trait's subindex emphasis within its group, helping to shrink the emphasis on low-heritability traits and expand that on growth traits. Accounting for differences in trait accuracy when describing percent emphasis within selection indexes gives a more practical indication of the likely outcome of selecting on the index.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Mathematics
Asima Razzaque, Saima Noor, Salma Kanwal, Saadia Saeed
Summary: This study aims to examine the role of topological descriptors in the field of crystallography using chemical graph theory, focusing on the symmetrical crystal structure HEX. Various indices are computed and analyzed, with a visualization of the highest numerical value descriptor.
JOURNAL OF MATHEMATICS
(2022)
Article
Physics, Multidisciplinary
Suleyman Ediz
Summary: In this study, the molecular topological indices of graphene were calculated, and it was found that these indices are highly correlated with the entropy values of graphene. These new indices can be used in research in the fields of chemistry and physics.
Article
Environmental Sciences
Said Muhammad
Summary: This study examined the physicochemical parameters of water and sediments in the Naltar Lakes in northern Pakistan, and found that some sampling sites exceeded the drinking water standards set by the World Health Organization for heavy metals. However, the water quality indices indicated that the water of the Naltar Lakes was of good quality, and the risk indices showed a higher risk of arsenic intake for children.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Optics
Daniele Pirone, Joowon Lim, Francesco Merola, Lisa Miccio, Martina Mugnano, Vittorio Bianco, Flora Cimmino, Feliciano Visconte, Annalaura Montella, Mario Capasso, Achille Iolascon, Pasquale Memmolo, Demetri Psaltis, Pietro Ferraro
Summary: By applying computational segmentation, the three-dimensional quantitative shape of a cell nucleus can now be accurately identified without fluorescent staining. This method avoids the difficulties or impossibilities associated with cell staining and allows for the extraction of specific intracellular structures.
Article
Geriatrics & Gerontology
Merve Guner Oytun, Polat Ercan, Serdar Ceylan, Arzu Okyar Bas, Meltem Halil, Mustafa Cankurtaran, Burcu Balam Dogu
Summary: The study indicates that the laboratory index was unable to predict mortality accurately and overlooked the frailty and comorbidities of patients. It is suggested that incorporating these data into the analysis can improve predictive capability.
Article
Multidisciplinary Sciences
Juanli Ma, Huan Wang, Lei Jin, Ping Zhang
Summary: The stress resistance ability of H. scoparium and C. korshinskii seedlings to root exposure was evaluated by comparing the physiological growth indexes in their leaves. The results showed that root exposure led to excessive oxygen free radicals, membrane lipid peroxidation, and increased MDA content in both plants. H. scoparium mainly adapted to the stress by regulating carotenoids, while C. korshinskii adjusted itself by regulating chlorophyll. H. scoparium resisted the stress by regulating its respiration rate, while C. korshinskii adjusted its water potential by regulating the concentration of soluble sugar. Additionally, H. scoparium and C. korshinskii activated peroxidase and catalase, respectively, to clean up intracellular peroxides.
Article
Multidisciplinary Sciences
Junjie Ma, Tianbin Li, Xiang Li, Shuanglong Zhou, Chunchi Ma, Daqiang Wei, Kunkun Dai
Summary: A new method based on Bayesian networks is proposed in this study to predict the probability for the classification of surrounding rock quality of tunnels with incomplete data. The established classification model shows high accuracy and stability, even with small sample size and imbalanced samples, making it a valuable tool for future rock mass quality evaluation in various engineering projects.
SCIENTIFIC REPORTS
(2022)
