Article
Computer Science, Information Systems
Seungsik Moon, Namyoon Lee, Youngjoo Lee
Summary: This paper investigates a joint user selection, power allocation, and beamforming strategy for maximizing a weighted sum-spectral efficiency in a single-cell multi-user multiple-input multiple-output (MU-MIMO) system. It proposes a low-cost simplified GPIP algorithm that reduces the computational complexity and energy efficiency for large-scale MU-MIMO systems. Experimental results show that the proposed algorithm achieves a similar sum-spectral efficiency compared to a naive implementation method for GPIP while significantly reducing the total cost.
Article
Computer Science, Information Systems
Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. K. Qin
Summary: The study proposes a novel graph embedding framework MSGE, utilizing multi-scale subgraph representations to capture global structures. By determining multiple scales of subgraphs and generating new graphs at each scale, MSGE achieves better embeddings through fusion methods.
INFORMATION SCIENCES
(2021)
Article
Mathematics, Applied
Andrey Piatnitski, Alexey Shamaev, Elena Zhizhina
Summary: In this study, a mathematical model of the water treatment process is considered, and the effective characteristics of this model are determined. At the microscopic level, the model is described as a lattice random walk in a high-contrast periodic medium with absorption. The upscaling procedure is then applied to obtain the macroscopic model for total mass evolution. Both the dynamic and stationary regimes are discussed, and it is shown how the efficiency of the purification process depends on the characteristics of the macroscopic model.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Sumanta Chatterjee, Alfred E. Hartemink, John Triantafilis, Ankur R. Desai, Doug Soldat, Jun Zhu, Philip A. Townsend, Yakun Zhang, Jingyi Huang
Summary: The study found that pXRF spectra with PLSR models can effectively predict certain soil physicochemical properties at the pedon scale, while a combination of EMI, Sentinel-2, and DEM data shows promise in mapping key soil parameters like sand, silt contents, and TN.
Article
Physics, Multidisciplinary
Francisco Prieto-Castrillo, Javier Borondo, Ruben Martin Garcia, Rosa M. Benito
Summary: This paper studies the phenomena of collapse and anomalous diffusion in shared mobility systems and analyzes the effect of self-journeys on system stability using mathematical methods. Real data analysis shows that the behavior of bike-sharing fleets is more similar to a 1/f signal.
Article
Physics, Multidisciplinary
Ping Wang, Changgui Gu, Huijie Yang, Haiying Wang, Jack Murdoch Moore
Summary: In this article, a multi-scale structural complexity method based on a scalar time series is developed to characterize system complexity. The method accurately reflects the dynamical characteristics of the system as a whole and provides visual insight into system characteristics using scatter plots and correlation. It can identify the local complexity of a system at different scales and indicate how the complexity changes with scale. The ratio of local complexity to total complexity is found to vary significantly with system type, allowing for distinguishing between different system types.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Biochemical Research Methods
Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
Summary: This study proposes a drug-target interaction prediction method, DTIP, which integrates multi-scale neighbouring topologies, multiple similarities, associations, and interactions related to drugs and proteins. The results demonstrate the effectiveness of this method in discovering potential candidate drug-related proteins.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Ecology
Jelle Treep, Monique de Jager, Frederic Bartumeus, Merel B. Soons
Summary: By viewing plant seed dispersal as a strategic search for suitable habitat, a reference framework is provided for the analysis of plant dispersal data. The findings reveal that multi-scale seed dispersal strategies, including Levy-like dispersal, are optimal across a wide range of landscapes. The study highlights the tight link between optimal dispersal strategy and spatiotemporal habitat distribution.
Article
Multidisciplinary Sciences
Konstantinos Skianis, Giannis Nikolentzos, Benoit Gallix, Rodolphe Thiebaut, Georgios Exarchakis
Summary: The COVID-19 pandemic poses a significant challenge to modern healthcare. We propose a method for predicting the number of positive and hospitalized cases using a multi-scale graph neural network, incorporating high-resolution spatio-temporal data and additional knowledge. Our model outperforms baselines and deep learning models, demonstrating its effectiveness in predicting both positivity and hospitalization. This work highlights the importance of accurate hospitalization prediction and offers insights for healthcare planning.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Zhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu
Summary: In this paper, an end-to-end trainable convolutional neural network is proposed for stereo matching, with shared feature extraction, initial disparity estimation, and disparity refinement as its three sub-modules, achieving good performance across multiple datasets.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Computer Science, Information Systems
Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong
Summary: The paper proposes an efficient and effective multi-objective method, DYN-MODPSO, which addresses the issues in dynamic community detection by enhancing the traditional evolutionary clustering framework and particle swarm algorithm. The novel strategy and carefully designed operators contribute to the method's superior performance on both real and synthetic dynamic networks, outperforming competitors in terms of effectiveness and efficiency.
INFORMATION SCIENCES
(2021)
Article
Environmental Sciences
Bardia Heidari, Arthur R. Schmidt, Barbara Minsker
Summary: Green infrastructure is increasingly used as a common solution to alleviate stormwater-related issues. This study provides a quantitative and comparative analysis of the economic costs and benefits of GI at different scales, showing that smaller subwatersheds show more promise in terms of cost-effectiveness. Additionally, implementing GI at all potential pervious locations does not necessarily increase nutrient removal costs.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Industrial
Katharina N. Jeschke
Summary: This paper examines how construction site and project managers balance seemingly contradictory demands in their daily work and how institutional complexity affects their safety-related thinking, motivation, and practice. It shows how managers bridge multiple institutional logics through silent acknowledgement, collaborative relational networks, and dynamic decision-making.
Article
Transportation Science & Technology
Tian Lei, Shuocheng Guo, Xinwu Qian, Lei Gong
Summary: This study investigates the charging behavioral dynamics of a fully electrified shared mobility system using trajectory data from Shenzhen's electric taxi fleet, revealing regularities at both system-level and individual driver perspectives. The findings provide valuable insights for the planning and operation of E-shared mobility services in other cities, emphasizing the importance of understanding charging activities for optimal service delivery.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Thermodynamics
Junqi Wu, Zhibin Niu, Xiang Li, Lizhen Huang, Per Sieverts Nielsen, Xiufeng Liu
Summary: Understanding energy consumption patterns is crucial for energy demand-side management. This paper proposes visual analysis methods for exploring energy consumption data, including variability, segmentation, and energy demand shifts from spatial, temporal, and spatiotemporal dimensions. A visual analysis tool is developed to support the proposed methods, allowing users to explore consumption data and validate hypotheses through human-client-server interactions. The effectiveness and superiority of the proposed methods are demonstrated through evaluations using real-world electricity consumption data and comparisons with traditional data mining methods.
Article
Meteorology & Atmospheric Sciences
Nicola Scafetta
Summary: The study suggests that certain regions may have temperature biases that affect global temperature data, especially in Asia, North America, Europe, and parts of South America and Africa. Urbanization may also play a role in these discrepancies.
Article
Environmental Sciences
Nicola Scafetta, Adriano Mazzarella
Summary: The study found a significant correlation between volcanic tremors at the Phlegraean Fields and rainfall events, especially during years of low bradyseism. Heavy rainfall and continuous precipitation were observed to trigger seismic swarms with magnitudes up to M = 3 over periods of a few days to 1 or 2 weeks.
Article
Environmental Sciences
Nicola Scafetta
Summary: This study models the natural variability of global surface temperature using harmonic sets, highlighting the impact of millennial oscillations on climate change. It predicts future temperature trends and confirms a low equilibrium climate sensitivity to CO2 doubling around 1.5 degrees C.
Review
Astronomy & Astrophysics
Ronan Connolly, Willie Soon, Michael Connolly, Sallie Baliunas, Johan Berglund, C. John Butler, Rodolfo Gustavo Cionco, Ana G. Elias, Valery M. Fedorov, Hermann Harde, Gregory W. Henry, Douglas Hoyt, Ole Humlum, David R. Legates, Sebastian Luening, Nicola Scafetta, Jan-Erik Solheim, Laszlo Szarka, Harry van Loon, Victor M. Velasco Herrera, Richard C. Willson, Hong Yan, Weijia Zhang
Summary: By evaluating the influence of Total Solar Irradiance (TSI) on Northern Hemisphere surface air temperature trends, it was found that urbanization bias might still be a problem in current global temperature datasets. Different methods were used to estimate temperature trends, all confirming some degree of global warming since the late 19th century. The estimates ranged from suggesting mostly human-caused recent global warming to attributing most of the warming to changes in solar activity.
RESEARCH IN ASTRONOMY AND ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
Michael J. Bank, Nicola Scafetta
Summary: By using the 2/3rd power of the ratios of the semi-major axis lengths of neighboring planets, we derive a mirror-like relationship among the distances of the planets in the Solar System, which corresponds to musical consonances. This suggests that the orbits of the planets in our Solar System are gravitationally optimized and coordinated.
FRONTIERS IN ASTRONOMY AND SPACE SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Nicola Scafetta
Summary: The equilibrium climate sensitivity (ECS) of the CMIP6 global circulation models (GCMs) varies widely, with high and medium ECS models overestimating global surface warming. Low ECS models show better agreement with observed data, but still need improvement. Overall, this study highlights the importance of considering ECS in climate prediction.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Review
Astronomy & Astrophysics
Nicola Scafetta, Antonio Bianchini
Summary: This article investigates the relationship between planetary motions and solar activity cycles, revealing a clear correlation and discussing possible mechanisms to explain this correlation.
FRONTIERS IN ASTRONOMY AND SPACE SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Nicola Scafetta
Summary: The CMIP6 global circulation models predict a wide range of equilibrium climate sensitivity values. To narrow this range, the accuracy and precision of 38 GCMs in hindcasting global surface warming from 1980 to 2021 are tested. The results suggest that the actual ECS may be relatively low, indicating that projected global climate warming over the next few decades may be moderate and not particularly alarming.
Editorial Material
Astronomy & Astrophysics
Nicola Scafetta
Summary: Nataf's recent study claims that the solar dynamo being synchronized by planetary tidal forces is not supported by evidence. However, the model he used only considered the orbits of Mercury, Venus, Earth, and Jupiter as circular and thus failed to produce tides compatible with the Schwabe 11-year solar cycle. In contrast, a correct modeling and interpretation of the planetary tidal function, accounting for all planets and their true orbits, fits well with the spectral requirements of the solar cycle, as demonstrated in previous scholarly research and a recent review by Scafetta and Bianchini.
Article
Environmental Sciences
Nicola Scafetta
Summary: Global climate models (GCMs) from CMIP6 are used to simulate future temperatures and assess the risks of climate change. However, the models' climate response and sensitivity vary greatly, leading to uncertainties in the climatic impact of increased CO2 levels. Some GCMs have been found to overestimate warming, raising doubts about their reliability for policy-making. This study ranks 41 CMIP6 GCMs based on their ability to hindcast past warming and identifies a sub-ensemble of 17 models with better performance. The results suggest moderate global warming and imply that adaptation programs may sufficiently address negative effects of future climate change.
Review
Meteorology & Atmospheric Sciences
Nicola Scafetta, Antonio Bianchini
Summary: The complex dynamics of solar activity, including the well-known 11-year Schwabe sunspot cycle, are characterized by multiple oscillations on different timescales. These solar oscillations not only reflect climate oscillations on Earth but also offer explanations and predictions for climate changes. It is crucial to investigate the physical origins of solar oscillations, which might be either exclusively controlled by internal solar dynamo mechanisms or partially synchronized with planetary frequencies. Recent evidence supports the latter concept. This article provides an overview of empirical facts supporting the planetary hypothesis of solar and climate variability and emphasizes its significance for climate research. It demonstrates that the frequencies generated by the complex interactions among planets coincide with major solar activity and climate cycles, ranging from monthly to multimillennial timescales, including the well-known 11-year Schwabe solar cycle. Theoretical and empirical support for the planetary hypothesis of solar and climate variability is presented persuasively.
Editorial Material
Geosciences, Multidisciplinary
Nicola Scafetta
Summary: SJK's critique of Scafetta is flawed as they overestimated the error in ERA-T2m 2011-2021 mean and confused natural variability with random noise. SJK's allegations were partially addressed in subsequent studies that confirmed Scafetta's conclusions.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Willie Soon, Ronan Connolly, Michael Connolly, Syun-Ichi Akasofu, Sallie Baliunas, Johan Berglund, Antonio Bianchini, William M. Briggs, C. J. Butler, Rodolfo Gustavo Cionco, Marcel Crok, Ana G. Elias, Valery M. Fedorov, Francois Gervais, Hermann Harde, Gregory W. Henry, Douglas V. Hoyt, Ole Humlum, David R. Legates, Anthony R. Lupo, Shigenori Maruyama, Patrick Moore, Maxim Ogurtsov, Coilin Ohaiseadha, Marcos J. Oliveira, Seok-Soon Park, Shican Qiu, Gerre Quinn, Nicola Scafetta, Jan-Erik Solheim, Jim Steele, Laszlo Szarka, Hiroshi L. Tanaka, Mitchell K. Taylor, Fritz Vahrenholt, Victor M. Velasco Herrera, Weijia Zhang
Summary: A statistical analysis of Northern Hemisphere land surface temperatures from 1850 to 2018 was conducted to determine the main drivers of observed warming. The analysis found that the choice of temperature estimate and solar forcing dataset led to different conclusions about the primary drivers of warming. The study also highlighted the challenges of urbanization bias and uncertainty in solar radiation time series for detecting and attributing global warming.
Article
Geosciences, Multidisciplinary
Nicola Scafetta
Summary: The role of the Sun in climate change is debated, with some studies suggesting significant impact and others suggesting minimal impact. The IPCC supports the view that anthropogenic emissions are responsible for nearly 100% of observed surface warming. However, their conclusions are based on computer simulations and do not consider other solar processes. In this paper, three balanced multi-proxy models are proposed to assess the impact of total solar activity on climate change.
GEOSCIENCE FRONTIERS
(2023)
Article
Meteorology & Atmospheric Sciences
Nicola Scafetta
Summary: The study tests the performance of 38 CMIP6 models in reproducing observed climate changes over the past 40 years, finding that most models overestimate warming and models with low ECS values perform better, suggesting that they should be preferred for climate change scenario forecasts.