bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of the astrophysical factor of the 3He(α,γ)7Be down to zero energy using the asymptotic normalization coefficient method
Authors: La Cognata M. , Kiss G. G. , Yarmukhamedov R. , Tursunmakhatov K. I. , Wiedenhöver I. , Baby L. T. , Cherubini S. , Cvetinović A. , D’Agata G. , Figuera P. , Guardo G. L. , Gulino M. , Hayakawa S. , Indelicato I. , Lamia L. , Lattuada M. , Mudò F. , Palmerini S. , Pizzone R. G. , Rapisarda G. G. , Romano S. , Sergi M. L. , Spartà R. , Spitaleri C. , Trippella O. , Tumino A. , Anastasiou M. , Kuvin S.A. , Rijal N. , Schmidt B. , Igamov S. B. , Sakuta S. B. , Fülöp Zs. , Gyürky Gy. , Szücs T. , Halász Z. , Somorjai E. , Hons Z. , Mrázek J. , Tribble R. E. , Mukhamedzhanov A. M. 
Published: September 2023

Abstract
The observation of neutrinos emitted in the p − p chain and in the CNO cycle can be employed to test the Standard Solar Model. The 3He(α,γ)7Be reaction is the first reaction of the 2nd and 3rd branch of the p − p chain, so the indetermination of its cross section significantly affects the predicted 7Be and 8B neutrino fluxes. Notwithstanding its relevance and the great deal of experimental and theoretical papers, information of the reaction cross section at energies of the core of the Sun (15 keV - 30 keV) is sparse and additional experimental work is necessary to attain the target (~ 3%) accuracy. The precise understanding of the external capture component to the 3He(α,γ)7Be reaction cross section is pivotal for the theoretical assessment of the reaction mechanism. In this work, the indirect measurement of this external capture component using the Asymptotic Normalization Coefficient (ANC) technique is discussed. To extract the ANC, the angular distributions of deuterons yielded in the 6Li(3He,d)7Be α-transfer reaction were detected with high precision at E3He
=3.0 MeV and 5.0 MeV. The ANCs were then deduced from the juxtaposition of DWBA and CC calculations with the experimental angular distributions and the zero energy astrophysical S-factor for 3He(α,γ)7Be reaction was calculated to equal 0.534 ± 0.025 keVb. Both our experimental and theoretical approaches were tested through the analysis of the 6Li(p,γ)7Be astrophysical factor, with further interesting astrophysical implications.
Towards a direct measurement of the E
cm
= 65 keV resonance strength in 17O(p, γ)18F at LUNA
Authors: Ciani G.F. , Piatti D. ,   LUNA collaboration
Published: September 2023

Abstract
The 17O(p, γ)18F reaction plays a crucial role in several stellar scenarios where the hydrogen burning phases takes place. In particular, in the temperature energy range of interest for AGB nucleosynthesis (20 MK< T <80 MK) the main contribution to the astrophysical reaction rate comes from the elusive 65 keV resonance. Indeed, this resonance strength is at the moment determined only through indirect measurements, with a reported value of ωγ = (1.6 ± 0.3) × 10−11 eV. With typical experimental quantities for beam current, isotopic enrichment and detection efficiency, this strength yields an expected count rate of less than one count per Coulomb, making the direct measurement of this resonance extremely challenging. The Laboratory for Underground Nuclear Astrophysics (LUNA) 400kV accelerator installed in Laboratori Nazionali del Gran Sasso (Italy) provides a unique possibility to directly measure this low resonance thanks to the reduction of cosmic ray background by six orders of magnitude with respect surface laboratories and thanks to an intense, narrow proton beam. To improve the experimental sensitivity, the environmental background was further reduced designing a lead and borated (5%) polyethylene shielding and the absorption of γ − rays emitted by the reaction was minimised by the installation of target chamber and holder made of aluminum.
With about 400 Coulomb accumulated on Ta2O5 targets, with nominal 17O enrichment of 90%, the LUNA collaboration has performed the first direct measurement of the 65 keV resonance strength.
Shape analysis of the 4.44 MeV γ-ray line complex produced in inelastic proton scattering off 12C over the indent energy range of Ep = 30−200 MeV
Authors: Rahma Y. , Ouichaoui S. , Kiener J. , Lawrie E. A. , Lawrie J. J. , Tatischeff V. , Belhout A. , Moussa D. , Yahia-Cherif W. , Benhabiles-Mezhoud H. , Bucher T. D. , Dinoko T. R. S. , Chafa A. , Conradie J. L. , Damache S. , Debabi M. , Deloncle I. , Easton J. L. , Fouka M. , Hamadache C. , Hammache F. , Jones P. , Kheswa B. V. , Khumalo N. A. , Lamula T. , Majola S. N. T. , Ndayishimye J. , Negi D. , Noncolela S. P. , Ouziane S. , Papka P. , Peterson S. , Kumar Raju M. , Ramanathan V. , Rebeiro B. M. , de Séréville N. , Sharpey-Schafer J. F. , Shirinda O. , Wiedeking M. , Wyngaardt S. 
Published: September 2023

Abstract
We report γ-ray spectra for the line observed at Eγ = 4.44 MeV in our previous experiments at iThemba LABS’ SSC facility using 30 - 200 MeV proton beams to irradiate a natC target. It is actually a complex composed of several lines of interest broadened by Doppler effect. In addition to the dominant 4.439 MeV line of 12C, two other lines at Eγ = 4.319 and 4.445 MeV assigned to 11C and 11B, respectively, are significant components of this complex. The analysis of its line shapes based on nuclear reaction models is the main topic of this contribution.
Study of the 44Ti(α, p)47V reaction rate using high-precision 50Cr(p, t)48Cr measurements
Authors: Binda S D , Adsley P , Long A M , Berg G , Brümmer J W , Couder M , Görres J , Kamimota M , Khumalo N , Köhne M , Li K C W , Malatji K L , Marín-Lámbarri D J , Meisel Z , Mhlongo S S , Mthembu S H , Neveling R , Papka P , Pellegri L , Pesudo V , Pool L C , Sideras-Haddad E , Smit F D , Wiedeking M , Wiescher M C , van Zyl J J 
Published: September 2023

Abstract
The abundance and distribution of 44Ti tells us about the nature of the core-collapse supernovae explosions. There is a need to understand the nuclear reaction network creating and destroying 44Ti in order to use it as a probe for the explosive mechanism. The 44Ti(α, p)47V reaction is a very important reaction and it controls the destruction of 44Ti. Difficulties with direct measurements have led to an attempt to study this reaction indirectly. Here, the first step of the indirect study which is the identification of levels of the compound nucleus 48Cr is presented. A 100-MeV proton beam was incident on a 50Cr target. States in 48Cr were populated in the 50Cr(p, t)48Cr reaction. The tritons were momentum-analysed in the K600 Q2D magnetic spectrometer at iThemba LABS.
Method for converting neutron time-of-flight spectrum into an energy spectrum
Authors: Musacchio-González E. , Mastinu P.F. , Martín-Hernández G. 
Published: September 2023

Abstract
In neutron time-of-flight (nTOF) experiments a pulsed neutron beam travels a predetermined distance before reaching the sample under examination. The problem of reconstructing the primary neutron spectrum from the measured one with this technique is discussed in this work. A solution is presented employing the response matrix of the neutron detector and an unfolding procedure.
Search for beyond standard model physics in free neutron decay
Authors: Kozela A. , Bodek K. , Choi J. , DeKeukeleere L. , Dhanmeher K. , Engler M. , Gupta G. , Łojek K. , Pysz K. , Ries D. , Rozpędzik D. , Severijns N. , Soldner T. , Włoch B. , Yazdandoost N. , Young A. R. , Zejma J. 
Published: September 2023

Abstract
Applying a Mott polarimetry for measurement of the transverse polarization components of electrons from free neutron decay as well as proton momentum reconstruction using the combination of the time of flight method and the kinematical constrains of this three body decay, one gets access to eleven correlation coefficients of the neutron β-decay. Successful measurement of some of these coefficients would allow for an unique access to exotic scalar and tensor couplings of weak interactions and obtaining new constraints on their imaginary part, known with much worse accuracy. Results of the performance studies of some key experimental components of the prototype setup performed during the test run in 2021 at ILL PF1B neutron beam line are presented.
Improved Drug Traceability Code Detection Algorithm Based on YOLOv5
Authors: Jun Li , Jiajie Zhang , Jinglei Wu , Yanzhao Liu 
Published: September 2023

Abstract
In order to enhance the storage efficiency of drug traceability code information on the blockchain and improve the extraction capability of drug traceability codes on drug packaging, a detection algorithm based on an enhanced version of YOLOv5 is proposed for the drug production and transportation scenario. The proposed algorithm introduces the SPD-Conv module into the backbone network, thereby enhancing the network’s ability to extract detailed feature information. Additionally, the CA attention mechanism is incorporated into the Neck of the network, providing the network with superior feature fusion capabilities. Furthermore, the activation function in the network is replaced with the LeakyReLU activation function, reducing computational requirements during training and inference. This replacement improves the model’s test accuracy and detection speed. Experimental evaluation, conducted on a self-built dataset, demonstrates the effectiveness of the improved YOLOv5 model. The results indicate a compression of model parameters from 6.14M to 2.71M, an increase in mAP@.5 from 82.4% to 93.7%, and a boost in detection speed from 32FPS to 51FPS. These findings establish the superior performance of the enhanced model compared to the original version.
Infrared image segmentation of cracks in the rail foot
Authors: Wenjing Jia , Liqing Xiao 
Published: September 2023

Abstract
With the rapid development of socio-economy, railway safety operation has attracted increasing attention. Currently, the most widely used crack detection method on railways is still ultrasonic testing. However, the traditional ultrasonic testing method has certain blind zones and cannot detect cracks on both sides of the rail foot. This paper uses infrared non-destructive testing equipment to detect the temperature distribution on the surface of the rail foot, obtains the infrared image of the temperature distribution on the surface of the rail foot, and uses iterative threshold segmentation method to segment the infrared image. The skeleton of rail cracks is extracted from the temperature information of the infrared image, and the length of rail cracks is calculated based on the coordinate temperature information at the edge of the rail. This improves the accuracy of calculating the geometric characteristics of rail foot cracks.
Reproducing “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention”
Authors: Liu Haixia , Brailsford Tim 
Published: September 2023

Abstract
This paper replicates the experiment presented in the work of Xu et al. [1], and examines errors in the generated captions. The analysis of the identified errors aims to provide deeper insight into the underlying causes. This study also encompasses subsequent experiments aiming at investigating the feasibility of rectifying these errors via a post-processing stage. Image recognition and object detection models, as well as a language probability computational model were explored. The findings presented in this paper aim to contribute towards the overarching objective of Explainable Artificial Intelligence (XAI), thereby providing potential pathways to improve image captioning.
Coarse Aggregate Shape Classification Method Based on Per-Optuna-LightGBM Model
Authors: Feng Xin , Sun Zhaoyun , Xing Zhenzhen , Wu Yulong , Lian Chenyi 
Published: September 2023

Abstract
To improve the detection level of aggregate shape for automated road use, Per-Optuna-LightGBM model for aggregate shape classification is proposed. Collect aggregate images using industrial camera and extract 48 morphological feature parameters. A feature importance analysis method based on Spearman Correlation and Permutation Importance is proposed to remove redundant factors and select the feature parameters of aggregate morphology. Based on cross-validation, an optimized Optuna-LightGBM model is trained based on the constructed dataset. Compared with GS-XGBoost algorithm, the Optuna-LightGBM model can classify the shape of aggregates more accurately and efficiently. The accuracy value of the proposed model is 82.5%, which increased by 4% compared to before optimization. The proposed model can efficiently classify the shape of aggregates which meet the design requirements, also provide a certain foundation for automated classification of aggregate shapes.
Online Ride-hailing Demand Prediction Model Based on GRU & LSTM
Authors: Wang Junnan , Zhao Liang , Du Jin , A-He-Ti Jieensi 
Published: September 2023

Abstract
While online car-hailing provides fast and convenient services, it has the same problems in the process of ‘seeking customers’ as traditional taxis. With the research goal of the demand for online ride-hailing, an online ride-hailing demand forecast model based on G & LSTM is proposed. Firstly, grey relational degree analysis and other methods are used to analyze which and how the relevant factors affect the demand for online car-hailing. Secondly, the demand prediction model of online car-hailing based on GRU&LSTM is trained an adjusted. Through the adjustment and comparison experiment, the values of each parameter in the model are properly adjusted. Finally, based on the running data of Chengdu, the model proposed is verified and evaluated. The experimental results show that the GRU&LSTM prediction model has good prediction effect. By comparing the prediction effect of weighting data and unweighting data, it can be seen that weighted data has better prediction effect.
Extended Object Tracking Based on Distributed Sensor Network
Authors: Zhang Yu , Yang Xiaojun , Zhao Chengwei , Wang Yuehua 
Published: September 2023

Abstract
In this paper, an extended Kalman filtering algorithm based on coupled velocity model (CVM) is proposed for extended object tracking under distributed sensor networks. This algorithm tracks an object using measurements collected by multiple sensor nodes, and then obtains a global solution based on weighted Kullback-Leibler divergence. Simulation results display that the improved method can effectively track the extended object.
Extended object tracking when irregular star convex mutations
Authors: Zhao Chengwei , Yang Xiaojun , Zhang Yu , Wu Lumeng 
Published: September 2023

Abstract
In this paper, for extended object tracking in the case of mutation of irregular stars convex shape, using Random Hypersurface Model (RHM ) to model the object, then the target shape is expressed as parameter by radial function. Considering that using circle as a prior shape information requires a long filter consumption time, the RHM-CC-IOU-UKF algorithm proposed in this paper uses the center contour method to correct the prior shape information of the object, and then uses the Intersection over Union (IOU) method to improve the object tracking accuracy in the mutation case. The object estimation shape is updated when combined with a simple filtering algorithm. Eventually, the effectiveness of this algorithm is demonstrated by simulation experiments in two scenarios.
Investigating the Effects of Downhill Roads on Driver’s Eye Movements
Authors: Qi Honglei , Zhu Yishui , Iqbal Noman , Yang Kaizhu , Wang Luyang 
Published: September 2023

Abstract
Despite the increasing popularity of self-driving cars, researchers in the transportation industry continues to prioritize accident prevention and safety improvement. This study inspects the influence of driving experience and gender on the driver’s gaze and pupil behaviors while descending a downhill. The data in this paper was collected by equipping ten subjects Tobii Pro glasses II in a series of experiments designed to track their gaze and pupil behavior in a downhill road section. The statistical and Python-based data analysis shows that novice drivers pay more attention to the instrument panel on the downhill road, and their pupils’ diameter is larger at both the top and bottom of the hill. In addition, female drivers pay more attention to the instrument panel than male drivers do during downhill tasks. Finally, more accurate formulas can be obtained by considering the experience and gender of drivers through logistics regression. This study has important theoretical significance for discovering the driver’s target search process and improving the driver assistance system.
Study on Energy Control for Low-Voltage DC Distribution Systems
Authors: Baiqiang Shen , Chaoliang Wang , Xiangxin Nie , Yan Li , Xingyu Chen , Yikun He 
Published: September 2023

Abstract
This paper focuses on the study of energy control for LVDC distribution systems based on maintaining a stable DC bus voltage. The system includes photovoltaic (PV) arrays, energy storage, and AC/DC loads. The Boost converter is used in the PV array to switch freely between MPPT and constant voltage modes. The MPPT control is applied to the PV modules to ensure maximum power output, and the energy storage unit adjusts the output to stabilize the DC bus voltage and maintain system power balance. The implementation of the proposed control strategy is in a MATLAB/Simulink simulation model to verify its correctness and effectiveness. The simulation results show that the control strategy can maintain a stable DC bus voltage, and improve the efficiency of LVDC system. The study provides valuable insights into the development of efficient and reliable energy control strategies for LVDC power distribution systems.
Encounter-based reaction-subdiffusion model I: surface adsorption and the local time propagator
Authors: Bressloff Paul C 
Published: September 2023

Abstract
In this paper, we develop an encounter-based model of partial surface adsorption for fractional diffusion in a bounded domain. We take the probability of adsorption to depend on the amount of particle-surface contact time, as specified by a Brownian functional known as the boundary local time

ℓ
(
t
)

. If the rate of adsorption is state dependent, then the adsorption process is non-Markovian, reflecting the fact that surface activation/deactivation proceeds progressively by repeated particle encounters. The generalized adsorption event is identified as the first time that the local time crosses a randomly generated threshold. Different models of adsorption (Markovian and non-Markovian) then correspond to different choices for the random threshold probability density

ψ
(
ℓ
)

. 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
)
,
ℓ
(
t
)
)

, also known as the local time propagator. In the case of normal diffusion one can use a Feynman–Kac formula to derive an evolution equation for the propagator. Here we derive the local time propagator equation for fractional diffusion by taking a continuum limit of a heavy-tailed continuous-time random walk (CTRW). We begin by considering a CTRW on a one-dimensional lattice with a reflecting boundary at n = 0. We derive an evolution equation for the joint probability density of the particle location

N
(
t
)
∈
{
n
∈

Z

,
n
⩾
0
}

and the amount of time

χ
(
t
)

spent at the origin. The continuum limit involves rescaling

χ
(
t
)

by a factor

1

/

Δ
x

, where

Δ
x

is the lattice spacing. In the limit

Δ
x
→
0

, the rescaled functional

χ
(
t
)

becomes the Brownian local time at x = 0. We use our encounter-based model to investigate the effects of subdiffusion and non-Markovian adsorption on the long-time behavior of the first passage time (FPT) density in a finite interval

[
0
,
L
]

with a reflecting boundary at x = L. In particular, we determine how the choice of function ψ affects the large-t power law decay of the FPT density. Finally, we indicate how to extend the model to higher spatial dimensions.
A review of color and COD removal from textile effluent by coagulation and advanced oxidation processes
Authors: Odhaib W Y , Jaeel A J 
Published: September 2023

Abstract
The textile sector has a long history, and it makes significant contributions to the national economy. Disposing of colored wastewater poses serious environmental risks. Over the past few decades, the elimination of color from textile industries has proven to be quite challenging because it contains a high percentage of organic and inorganic ingredients, which makes it difficult to handle. The textile industry poses a severe environmental hazard due to its heavy use of water. Therefore, wastewater treatment is an environmental challenge. Several wastewater treatment processes are available. However, Research is still ongoing to find low-cost and high-efficiency treatment methods. Keeping in mind the permissible limitations of the wastewater systems, treatment techniques for water consumption are studied again. Recently, coagulation, flocculation, and advanced oxidation processes (AOPs) have been studied for water treatment in textile factories around the globe. There are several treatment options for the waters where AOPs were used for only tissue pretreatment or in combination with biological, physical, and chemical treatments. The objective of this research is to investigate the main variables influencing process effectiveness, namely COD, color BOD, pH, and temperature. According to research, the combination of treatment technologies helps improve water quality and create an environmentally friendly climate, regardless of the physical and chemical characteristics of the effluent.
Bio-based synthesis of a sustainable Nano drag reducing agent for sprinkler irrigation systems
Authors: Sabeeh Nawras S , Mohammad Abbas K 
Published: September 2023

Abstract
High-grade silica Nano particles were extracted from rice husk using a straightforward thermochemical method. The specifications of the isolated Nano particles were verified using a variety of material characterization techniques. Siloxane and silanol groups were notably visible in the spectra obtained using Fourier transform infrared spectroscopy. Scanning Electron Microscopy images revealed main Nano particles alongside secondary Micro particles. The size of the particles varied from 14.56 to 33.72 nm. The drag reduction experiments were took place in a facility that uses a forced closed loop. The extracted Nano silica was mixed with faucet water at a weight concentration of 50 to 400 mg/l to reduce drag. Records of pressure loss were obtained along a 186 cm carbon steel tube with internal diameters of 1.6 and 2.7 cm and variable flow rates of solutions at a comfortable temperature of 25 °C. The friction factor values were found to be around Blasuis asymptote for pure water but they were found to be near maximum drag reduction asymptotes when using the Nano material. A maximal drag reduction of nearly 68 % was achieved by using 400 ppm of Nano silica. It was observed that there is a crucial Reynolds number around 96000 that should not be surpassed since any additional increase results in a drop in drag reduction. Furthermore, a relationship between wall shear stress and velocity of the fluid was established.