bluuebunny/crossref_metadata_2025_split huggingface dataset:
Studies of three-and four-body hypernuclei with heavy-ion beams, nuclear emulsions and machine learning
Authors: Saito T.R. , Achenbach P. , Alibrahim Alfaki H. , Amjad F. , Armstrong M. , Behr K.-H. , Benlliure J. , Brencic Z. , Dickel T. , Drozd V. , Dubey S. , Ekawa H. , Escrig S. , Feijoo-Fontán M. , Gao Y. , Geissel H. , Goldenbaum F. , Grãna González A. , Haettner E. , Harakeh M. N. , He Y. , Heggen H. , Hornung C. , Hubbard N. , Itahashi K. , Kalantar-Nayestanaki N. , Kasagi A. , Kavatsyuk M. , Kazantseva E. , Khreptak A. , Knoebel R. , Kollmus H. , Kostyleva D. , Kraft-Bermuth S. , Kurz N. , Liu E. , Minami S. , Morrissey D. J. , Moskal P. , Mukha I. , Muneem A. , Nakagawa M. , Nakazawa K. , Nociforo C. , Ong H. J. , Pietri S. , Pochodzalla J. , Purushothaman S. , Rappold C. , Rocco E. , Rodríguez-Sánchez J. L. , Roy P. , Ruber R. , Saito N. , Schadmand S. , Scheidenberger C. , Schwarz P. , Sekiya R. , Serdyuk V. , Skurzok M. , Streicher B. , Sugimoto S. , Suzuki K. , Szczepanczyk B. , Taki M. , Tanaka Y. K. , Tang X. , Tortorelli N. , Vencelj M. , Wang H. , Weber T. , Weick H. , Will M. , Wimmer K. , Yamamoto A. , Yanai A. , Yoshida J. , Yoshimoto M. , Zhao J. ,   ()
Published: September 2023

Abstract
Interests on few-body hypernuclei have been increased by recent results of experiments employing relativistic heavy ion beams. Some of the experiments have revealed that the lifetime of the lightest hypernucleus, hypertriton, is significantly shorter than 263 ps which is expected by considering the hypertriton to be a weakly-bound system. The STAR collaboration has also measured the hypertriton binding energy, and the deduced value is contradicting to its formerly known small binding energy. These measurements have indicated that the fundamental physics quantities of the hypertriton such as its lifetime and binding energy have not been understood, therefore, they have to be measured very precisely. Furthermore, an unprecedented Λnn bound state observed by the HypHI collaboration has to be studied in order to draw a conclusion whether or not such a bound state exists. These three-body hypernuclear states are studied by the heavy-ion beam data in the WASA-FRS experiment and by analysing J-PARC E07 nuclear emulsion data with machine learning.
The use of Wasserstein Generative Adversarial Networks in searches for new resonances at the LHC.
Authors: Lieberman Benjamin , Dahbi Salah-Eddine , Mellado Bruce 
Published: September 2023

Abstract
In the search for physics beyond the standard model, machine learning classifiers provide methods for extracting signals from background processes in data produced at the LHC. Semi-supervised machine learning models are trained on a labeled background and unlabelled signal. When using semi-supervised techniques in the training of machine learning models, over-training can lead to background events incorrectly being labeled as signal events. The extent of false signals generated must therefore be quantified before semi-supervised techniques can be used in resonance searches. In this study, a frequentest methodology is presented to quantify the extent of fake signals generated in the training of semi supervised DNN classifiers when confronting side-bands and the signal regions. The use of a WGAN is explored as a machine learning based data generator.
Evaluation and Optimisation of a Generative-Classification Hybrid Variational Autoencoder in the Search for Resonances at the LHC
Authors: Stevenson Finn , Lieberman Benjamin , Swain Abhaya , Mellado Bruce 
Published: September 2023

Abstract
The Standard Model (SM) of particle physics was completed by the discovery of the Higgs boson in 2012 by the ATLAS and CMS collaborations. However, the SM is not able to explain a number of phenomena and anomalies in the data. These discrepancies to the SM motivate the search for new bosons. In this paper, searches for new bosons are completed by looking for Zgamma resonances in Zγ
(pp → H → Zγ
) fast simulation events. This research makes use of a Variational Autoencoder (VAE), in the search for new bosons. The functionality of a VAE to be trained as both a generative model and a classification model makes the architecture an attractive option for aiding the search. The VAE is used as a generative model to increase the amount of Zγ
fast simulation Monte Carlo data whilst simultaneously being used to classify samples containing injected signals that differ from the Monte Carlo data on which the model was trained. This work concentrates on the final evaluation and optimisation of the VAE for the generative task.
Enhancing Communication Security with 3DES and Spread Spectrum Technologies
Authors: Meng Tiantian , Gu Yunji , Yang Ran , Zong Jiang , Yang Yihuai 
Published: September 2023

Abstract
As society moves towards the digital age, data security has become an increasingly important issue in wireless communication. To address this problem, the use of encryption techniques has become crucial. In this we studied the Triple Data Encryption Standard (3DES) from theory to practical application, and proposes a wireless spread spectrum system utilizing Direct Sequence Spread Spectrum (DSSS) technology, Quadrature Phase Shift Keying (QPSK) modulation, and 3DES encryption/decryption for secure and reliable data transmission. The system is able to efficiently recover the received signal, even in the presence of interference and noise, as demonstrated by the significantly lower Bit Error Rate (BER) of the received signal compared to the original transmitted binary sequence. The effectiveness of the system is demonstrated through simulation results, indicating that it offers a promising solution for wireless communication applications where secure and reliable data transmission is essential.
Adaptive source localization for mobile robots based on Kriging prediction
Authors: Liu Weichao , Cao Kai , Chen Yangquan , Gao Song , Yang Fan , Ding Yufei 
Published: September 2023

Abstract
This paper addresses the source localization for mobile robots under the assumption of spatio-temporal invariance. Two kriging-based source localization methods, namely global traversal and adaptive gradient extremum, are proposed and implemented using limited sampling data. The global traversal method controls the robot to traverse the whole region according to a fixed trajectory, and finally fits the information distribution of the sources in the whole target region, so as to obtain the location and number of sources. The adaptive gradient extremum method initially controls the robot to collect data by traversing the target search area. Simultaneously, it uses the collected data to fit the source distribution across the entire region. Then, it utilizes gradient and extremum principles to determine the next target point iteratively, eventually reaching the positions of the sources. The simulation results show that the global traversal can obtain more field distribution information, and the adaptive gradient extremum method is more efficient.
Cloud computing resource load prediction based on improved VMD and attention mechanism
Authors: Zhang Modi , Fan Zhonglei , Miao Yuhao , Yang Liu 
Published: September 2023

Abstract
Dynamic adjustment of resource supply according to users’ resource load is one of the important technologies to achieve efficient management of cloud computing resources. In order to accurately obtain users’ demand for resource load in the future, based on quantum particle swarm optimization (QPSO), a prediction model QVMD_AM_LSTM was proposed to optimize variational mode decomposition (VMD) and to add attention mechanism to AM_LSTM. A comparative experiment was conducted on the open-source dataset cluster-trace-v2018 from Alibaba Cloud. The outcomes show that compared with LSTM, AM-LSTM, GRU-LSTM, Refined-LSTM, Stacked-LSTM and other existing prediction models, the mean square error of the QVMD_AM_LSTM model proposed in this article decreases by 8-14, and the correlation coefficient rises by 6%-11%. QVMD_AM_LSTM model has higher prediction accuracy.
Research on Application Scenarios of Artificial Intelligence in New Power System
Authors: Zhang Jie , Zhao Lili , Li Bingsen 
Published: September 2023

Abstract
Building a New Power System with new energy as the main body is the main theme of modern energy system construction and energy for a period of time in the future. It is an inevitable choice to promote the clean and low-carbon development of electric power. Through artificial intelligence technology, we can solve the problems of strong volatility and difficult regulation caused by the diversity of new energy sources, and promote the establishment of a green, efficient, flexible, interactive, safe and controllable New Power System. This paper sorts out the challenges and deficiencies faced by New Power System, summarizes the application characteristics of artificial intelligence in various industries, analyzes the development and characteristics of artificial intelligence applications, combines the application hotspots of artificial intelligence New Power System, studies the application scenarios of artificial intelligence in the construction, operation and maintenance of New Power System, and puts forward suggestions on the research direction.
Study of the Load Forecasting based on AKDC and LSTM algorithms
Authors: Ding Mingming , Wang Zhenshu , Zhou Xinhui , Wang Kang 
Published: September 2023

Abstract
As one of the traditional research subjects of power system, load forecasting has always been a hot research direction of related experts and scholars. This paper uses an extended algorithm combining the advantages of adaptive K-means algorithm and distributed clustering algorithm, improves the traditional K-means algorithm, and uses LSTM algorithm to build a load prediction model. LSTMS can learn the advantages of long distance time series dependence to recognize load patterns from the horizontal (time dimension). The simulation results show that the LSTM algorithm based on Adam optimizer improves the accuracy of load prediction, and the proposed algorithm is verified.
Distribution Network Mixed-harmonic Separation Method Based on Characteristic Vector
Authors: Xiao Linfu 
Published: September 2023

Abstract
The threat of harmonic pollution has become increasingly serious with the rapid increase in the scale and complexity of distribution networks. However, the harmonic source variety of distribution networks and the phenomena about harmonic characteristics become vague after harmonic mixture because harmonic governance and responsibility division cause much inconvenience. To address this point, a distribution network mixed-harmonic separation method based on characteristic vector is developed in this study. This method realizes the division of the current working state, harmonic emission levels, and harmonic governance responsibility of each harmonic source by equivalent analysis and reverse thinking. The results are verified through an experiment.
Flash drought fades away under the effect of accumulated water deficits: the persistence and transition to conventional drought
Authors: Liu Yi , Zhu Ye , Ren Liliang , Singh Vijay P , Yuan Shanshui 
Published: September 2023

Abstract
Flash drought typically refers to the rapid intensification process that would only persist for a certain amount of time. In spite of short duration, flash drought may cause destructive impacts on agricultural and ecological sectors due to the sustained drought severity during or after the rapid intensification period. Understanding the persistence of flash drought, its regional patterns, and to what extent a transition from rapid intensification to conventional drought occurs is beneficial for drought monitoring and drought management. Employing surface and root-zone soil moisture reanalysis datasets, the notion of accumulated water deficits over varying time scales (can be detected by the moving averages of daily soil moisture series from 1 to 300 d) was introduced to explore how the signal of flash drought fades away over China during the period of 1950–2021. Results show that the flash drought signal gradually attenuates under the increased time scales of water deficits. With significant spatial differences, more than 50% of flash drought on average would be lost at a 10 d time scale, and the attenuation ratio may reach 90% when the time scale increases to 100 d. Under the effects of accumulated water deficits, the majority of flash drought events may evolve into conventional drought before dissipating completely. Soil moisture memory has a finite effect on the attenuation of flash drought signal. Flash drought signal dissipates slowly in areas with strong soil moisture memory. As time scale increases, both flash drought signal and the memory of soil moisture decrease, and their correlation also weakens.
Co-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience
Authors: Chen Juan , Liu Zhiyong , Mao Jiafu , Zhao Tongtiegang , Tu Tongbi , Cheng Linyin , Dong Chunyu 
Published: September 2023

Abstract
Vegetation resistance and resilience to drought are linked to the stability of terrestrial ecosystems under climate change. However, the factors driving the spatial heterogeneity in drought resistance and resilience remain poorly understood. In the study, we utilized multiple satellite-derived vegetation indices to calculate and analyze changes in drought resistance and resilience across various biomes worldwide. Results indicated that drought resistance showed a significant increase with the increase in water availability, but no significant relationship was observed between drought resistance and energy. In contrast, drought resilience exhibited a significant increase with an increase in energy rather than in water. Furthermore, a negative correlation was observed between drought resistance and resilience across different biomes worldwide, indicating a trade-off between resistance and resilience. However, the strength of the negative correlation varied based on water and energy conditions. These findings provide compelling evidence that water and energy co-regulated the spatial heterogeneity in drought resistance and resilience across the globe. The robust linear relationship between drought resistance and resilience and available water and energy demonstrated in our study is critical to accurately predicting and assessing the impact of climate change on vegetation growth and terrestrial carbon cycling in the future.
Encounter-based reaction-subdiffusion model II: partially absorbing traps and the occupation time propagator
Authors: Bressloff Paul C 
Published: September 2023

Abstract
In this paper we develop an encounter-based model of reaction-subdiffusion in a domain Ω with a partially absorbing interior trap

. We assume that the particle can freely enter and exit

, but is only absorbed within

. We take the probability of absorption to depend on the amount of time a particle spends within the trap, which is specified by a Brownian functional known as the occupation time A(t). The first passage time (FPT) for absorption is identified with the point at which the occupation time crosses a random threshold

A
ˆ

with probability density

ψ
(
a
)

. Non-Markovian models of absorption can then be incorporated by taking

ψ
(
a
)

to be non-exponential. The marginal probability density for particle position

X

(
t
)

prior to absorption depends on ψ and the joint probability density for the pair

(

X

(
t
)
,
A
(
t
)
)

, also known as the occupation time propagator. In the case of normal diffusion one can use a Feynman–Kac formula to derive an evolution equation for the propagator. However, care must be taken when combining fractional diffusion with chemical reactions in the same medium. Therefore, we derive the occupation time propagator equation from first principles by taking the continuum limit of a heavy-tailed continuous-time random walk. We then use the solution of the propagator equation to investigate conditions under which the mean FPT for absorption within a trap is finite. We show that this depends on the choice of threshold density

ψ
(
a
)

and the subdiffusivity. Hence, as previously found for evanescent reaction-subdiffusion models, the processes of subdiffusion and absorption are intermingled.
Geographic Information System (GIS) for Landfill site selection - A review
Authors: Muayad Mukhalad , Janna Hussein 
Published: September 2023

Abstract
There are many research studies concerned with selecting the best sanitary landfill sites using geographic information systems (GIS) and multi-criteria decision-making (MCDM), taking into account many environmental such as (River, Groundwater), geological such as (Slope, Soil) social, and economic such as (City center, Villages, Road, Land use, Gas pipeline, Power line, Railway) criteria. By analyzing the data and maps in the GIS software for each criterion and using the relevance indicator, a map of the appropriate landfill sites in the study area is produced. This research aims to know the most appropriate and most used methods for calculating the weights of the criteria in previous studies and literature for selecting the best landfill sites. (MCDM) consists of several methods, the most important of which are the analytical hierarchy process (AHP), the simple supplemental weighting method (SAW), the fixed order sum method (SRS), and the ratio scale weight method (RSW). It was the best and most commonly used analytical hierarchy method (AHP).
A state-of-the-art review on reinforced concrete slabs strengthened by frp sheets under monotonic, impact and repeated loading
Authors: Mtashar Shahad H , Al-Azzawi Adel A 
Published: September 2023

Abstract
Composites made of fiber-reinforced polymer (FRP) have gained popularity as new high-performance material for concrete buildings in now days. The advantages of FRP composites include high strength, lightweight, and corrosion resistance. This paper’s primary objective is to assess the affect of FRP strips on the strengthening and repair of plain and reinforced concrete slabs. under the monotonic, impact, and repeated loading. According to studies’ observations, applying FRP strips to RC slabs significantly affects the final load and deflection. The number and positioning of FRP sheets improve the performance of slabs. The failure load magnitude of strengthened slabs would increase as slab thickness, concrete compressive strength, and sheet thickness increase. The ultimate load capacity was increased by (27-52%), depending on the FRP strengthening strategy used. GFRP sheets could be employed for improving or enhancing the impact strength of concrete structures. Externally attached GFRP sheets gave good resistance for reinforced concrete slabs against typical explosive blast.
Mechanical properties and flexural behaviour of green light weight concrete beams exposure to salty soils
Authors: Naser Fatimah H. , Naser Maryam H. , Hussein Mahdi J. , Almamoori Ali Hameed Naser 
Published: September 2023

Abstract
This paper presents an experimental investigation on the mechanical properties, durability and flexural behaviour of green concrete beam when subjected to harsh environments by using recycled building materials. Concrete resistance to external aggressive environmental condition is one of the most significant characteristics to maintain the concrete durability. The fundamental goal of this study is to understanding the performance of green lightweight concrete beam of (10×10×40 cm) under two different severe saline conditions; Ground Water Condition (GWC) and Severe Saline Clay Soil Condition (SSC) that contain chlorides and sulfates at concentrations like to those existing in groundwater and soil of the southern and middle parts of Iraq. In this research, in addition to normal concrete; three basic categories of green lightweight concrete are used: structural, non-structural and moderate strength using recycled of clay bricks and themestone blocks as coarse Light Weight Concrete (LWA) by a replacement ratio of (0, 50 and 100) % volume of natural coarse aggregate. All green Light Weight Aggregate Concrete (LWAC) beams and related specimens for mechanical properties were subjected to GWC, SSC and Laboratory Air Condition (LAC) for till (3, 6 and 9 months) after twenty-eight days of curing by tap water. Compressive strength, splitting tensile strength and density were also studied. The results obtained offered that the GWC and SSC have impacted the performance of all concrete beam types negatively with exposure age. The decadence was more for non-structural green LWAC beam. It is found that the resistance of beams contains bricks aggregate to GWC and SSC was a better than the other types of the green LWAC, the percentage decreases in failure load were 15.47% and 13.31% at 9 months of exposure to GWC and SSC measured relative to concrete beam exposed to LAC, respectively. Under the effect of aggressive conditions till 3 months, the results clarified that the improvement rate in the mechanical properties of the green LWAC were increased with age in comparison with ordinary concrete. The percentage reduction in compressive, splitting tensile strength and density at 9 months were ranged between (8.70-17.05) %, (14.71-36.50) % and (0.11-3.98) %, respectively measured relative to the same specimens in LAC.
Effect of fire on concrete mechanical properties and concrete columns
Authors: Yasser Thayf , Shallal Muhaned A. 
Published: September 2023

Abstract
This study includes a review of prior investigations on the effects of exposure to fire and high temperatures on recycled concrete components and concrete columns. Although considerable information has been collected on both phenomena, there is still a need for a fuller knowledge of the performance of recycled concrete and the performance of concrete poles under increased temperatures. There is a scarcity of data from large-scale experiments on concrete buildings. In this study, the compressive and tensile strengths, modulus of elasticity, and stress of recycled materials in concrete, such as bricks and glass, are compared to the findings of regular concrete formed of natural coarse aggregate subjected to high temperatures. Also, it explored the variables that impact how resistant concrete columns are to fire and high temperatures, including the kind of aggregate, relative humidity, length of fire exposure, concrete permeability, concrete cover, and longitudinal reinforcing.
A Comparative Analysis of Methods for Calculating Stability of Benchmarks Used in the Russian Federation to Monitor Deformations of Engineering Structures to Ensure Sustainability
Authors: Al-dami H , Zheleznov M 
Published: September 2023

Abstract
Geodetic monitoring has become a mandatory procedure in the construction and operation of buildings and structures during their life cycles. This is due to the need to improve the safety and sustainability of the structures. This research presents the results of a comparative analysis of the methods of stability of benchmarks in the Russian Federation. The analysis process was carried out for the five most famous methods currently used in the study of the stability of benchmarks to monitor engineering structures of different types and compared them with previous studies that dealt with the comparison between two or more of the five methods known in the Russian Federation. The study showed that the simplest and most well-known method used in analyzing criteria is the method of Kostechel and Chernikov. But it should be noted that the two methods cannot guarantee the correct selection of the most stable benchmarks unless the rating values for each criterion in the network are calculated and taken into account.