bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surrogate model-based cognitive digital twin for smart remote maintenance of fusion reactor: modeling and implementation
Authors: Yao Zhixin , Wu Huapeng , Song Yuntao , Cheng Yong , Pan Hongtao , Wu Muquan , Li Ming , Qin Guodong , Wang Qi , Zhang Xi 
Published: September 2024

Abstract
A remote maintenance robot system (RMRS) plays a critical role in safeguarding the fusion energy experimental device’s security and stability. State-of-the-art intelligent technology such as cognitive digital twins (CDTs) is widely considered capable of improving complex equipment’s performance and reducing management burden using a visualized system. However, the CDT virtual space cannot mirror the RMRS which is a kind of flexible multi-body system in real-time and with high fidelity. Therefore, we propose a CDT modeling method based on a surrogate model for the RMRS. Firstly, model-based system engineering is leveraged to build a structural modular architecture, which can decrease the modeling complexity of CDT and increase the modeling efficiency. Then, the surrogate models are self-learning within the CDT physical space, which reconstructs the RMRS’s real-time dynamic performances and endows CDT with cognitive capabilities. Finally, after integrating the CDT system, a smart decision-making plan that compensates for the operation error is generated for RMRS’s accurate control. We take a China Fusion Engineering Test Reactor (CFETR) multi-purpose overload robot (CMOR) as an example to demonstrate the implementation process. According to the results, CDT can achieve real-time (230 ms time delay) high-fidelity (5 mm control error) monitoring and accurate control, and CMOR conducts smart maintenance based on the simulation results. This method improves the efficiency of remote maintenance and provides solutions for high-duty cycle time of CFETR, it can also be applied to other tokamak fusion energy devices.
Distributed Joint Beamforming for RIS-assisted Cell-Free MIMO with Discrete Phase Shifts
Authors: Huang Ruihua , Suo Shiqiang , Su Xin , Sun Wenlong 
Published: September 2024

Abstract
Both reconfiurable intelligent surface (RIS) and cell-free multiple-input multiple-output (CF-MIMO) system are holding promise to become the predominant research direction in 6G networks. This paper studies the problem of weighted sum-rate maximization(WSR) in RIS-assisted CF-MIMO networks with discrete phase shifts. We utilize alternating optimization (AO) to iteratively calculate active and passive beamforming. At access points (APs) side, we employ a distributed algorithm to design the active beamforming, leveraging information interact among APs without centralized designing at central processing unit(CPU). Facing the constraint of discrete phase shift in RIS, we adopt semidefinite relaxation(SDR) projection and proximal gradient descent(PGD) to design the passive beamforming respectively. Simulation results indicate that our proposed algorithms achieve performance comparable to the distributed framework with continuous phase shift while reducing the computational time.
Intelligent Radiometric Calibration System for Ocean Color Satellite Sensors
Authors: Hu Shixian , Chen Shuguo , Wang Junwei , Li Sicong , Hu Lianbo 
Published: September 2024

Abstract
To achieve the integration of multiple ocean color (OC) sensors’ radiometric calibration tasks into a single system, we have developed an intelligent on-orbit radiometric calibration system called the Generalized Radiometric Calibration Entity for Ocean Color (Grace-OC). The system features real-time data downloading capabilities and integrates three calibration methods: onboard calibration, system vicarious calibration and cross calibration, enabling intelligent selection of on-orbit radiometric calibration methods tailored to the calibration sensors. Compared to other calibration systems, we have improved the universality and efficiency of the system by establishing high-spectral aerosols and Rayleigh lookup tables (LUTs) which are verified consistency through a comparative analysis with operational LUTs releasing by National Aeronautics and Space Administration (NASA) in this paper. Building upon this foundation, we have integrated a comprehensive analysis function for calibration coefficients to automatically construct degradation models of the radiometric measurement performance, and to achieve mutual verification between different calibration methods. We applied Grace-OC to HY1C/D and verified the feasibility of the intelligent selection calibration methods and the stability of the calibration system, achieving a calibration accuracy of up to 0.5%. Simultaneously, the precision of degradation models of the radiometric measurement performance is confirmed through Grace-OC, and the on-orbit radiometric calibration task was ultimately completed within 6 minutes for each per scene. Based on the above applications, Grace-OC has demonstrated its universality for various OC sensors, as well as the stability of on-orbit radiometric calibration tasks and the efficiency of operational speed.
Anomaly Detection Based on Temporal Convolutional Networks in Smart Grid
Authors: Guo Chun , Huang Feng , Luo Zhirong , Huang Zixin , Huang Keng 
Published: September 2024

Abstract
Abnormal power consumption detection is an important means to detect power emergencies in time. It can effectively reduce power loss and residential losses due to electrical failures. This paper presents an anomaly detection method based on temporal convolutional networks and statistics. The predicted power consumption results of subsequent periods are compared with the actual results, and statistical methods are used to determine whether abnormal power consumption exists. If an abnormal result occurs, the system will issue a warning, search the fault location in the database established by the user, and determine the initial fault type. Simulation results show that this method can effectively detect abnormal power consumption.
Wind power prediction method based on Attention-LSTM
Authors: Zhao Xiangyu , Yin Changyong , Zhang Bin , Zhang Qiang , Wang Chao 
Published: September 2024

Abstract
Under the background of realizing the goal of “double carbon”, precise short-term wind power prediction can offer a scientific foundation for the effective integration of wind energy into the grid and the secure and steady functioning of the electricity system. However, the unpredictability of weather conditions causes wind power to be volatile, which makes prediction more difficult. Aiming at this problem, a short-term wind power prediction technique that combines LSTM neural network and attention is suggested, which can make the predictive model more effective in processing the inputs of relevant influencing factors. The outcomes demonstrate the higher accuracy of the Attention-LSTM prediction method., with the mean value of RSME of 6.12, the mean value of MAE of 4.51, and the mean value of MAPE of 18%, when the prediction model is trained with real data.
Operating state identification of hybrid power system based on back propagation neural network
Authors: Wang Jiaqi , Jin Jianxin , Hu Boyong , Han Feng , He Yusheng , Li Enzhang 
Published: September 2024

Abstract
This paper presents a system state identification method based on back propagation (BP) neural network. First, the working modes of the hybrid power system are given. Besides, the method of normalizing training parameters is provided to facilitate the training of neural network. Then, a neural network method is applied to state identification of hybrid power system. Finally, the weights and thresholds of the structure are obtained by the normalized training parameters, and the test results indicate that the trained neural network structure satisfies the system identification requirements.
Influence of the edge effect of the solenoid magnetic field on the discharge process of magnetron sputtering in long and narrow chambers
Authors: Wang Pengcheng , Zhu Bangle , Liu Jiaming , Wang Yigang , Sun Xiaoyang , Liu Shunming , Tan Biao , Huang Tao , Dong Haiyi , Wang Sihui , Wang Yong 
Published: September 2024

Abstract
The fourth-generation light source or future particle
accelerators have compact vacuum systems, resulting in a small flow
conductance of the beam chamber. The development of NEG
(Non-Evaporable Getters) films technology with distributed pumping
is a good solution. This technology can obtain a pressure
distribution with a small pressure gradient and an ultra-high vacuum
of 10-8 Pa inside the vacuum chambers. In the magnetron
sputtering process for NEG coating, the inhomogeneity of the
magnetic field at the edge of the solenoid is a key parameter for
affecting the stability of the magnetron sputtering discharge
process. The influence mechanism of the edge magnetic field on the
plasma discharge process and discharge uniformity was studied to
optimize the coating parameters, which is very important. The
Particle-In-Cell/Monte Carlo Collision (PIC/MCC) method was employed
to simulate plasma discharge in a narrow vacuum chamber under
various edge magnetic field conditions. The potential distribution,
charged particle density distribution, and particle density
distribution on the target were acquired for four sets of discharge
parameters, followed by data processing and analysis. The electric
field distribution during the discharge process is closely linked to
the non-uniformity of the magnetic field at the solenoid's edge. The
smaller Br (the radial component of the magnetic field) component of
the magnetic field, the more uniform distribution of Ar+ on the
target surface, and the smaller the difference along the length of
the vacuum chamber. A smaller radial component (Br) of the magnetic
field results in a more uniform distribution of Ar+ on the
target surface and reduces variations in film thickness along the
length of the vacuum chamber. This is attributed to the small
distance between the inner wall of the vacuum chamber and the
cathode target. The change in the edge magnetic field will result in
the rapid migration of electrons to the inner wall of the vacuum
chamber and insufficient collision with the discharge gas, making it
challenging to sustain the discharge process. Moreover, fluctuations
in the edge magnetic field of the solenoid induce gradient drift and
curvature drift in charged particles, resulting in rapid electron
loss and alterations in the density and potential distribution of
charged particles at the ends of the vacuum chamber, ultimately
leading to discharge instability. The research results show the
importance of the edge magnetic field effect on the magnetron
sputtering coating of the slender vacuum chambers, which provides an
important reference for the segmented coating process of similar
vacuum chambers in future accelerators.
Training neural networks with structured noise improves classification and generalization
Authors: Benedetti Marco , Ventura Enrico 
Published: September 2024

Abstract
The beneficial role of noise-injection in learning is a consolidated concept in the field of artificial neural networks, suggesting that even biological systems might take advantage of similar mechanisms to optimize their performance. The training-with-noise (TWN) algorithm proposed by Gardner and collaborators is an emblematic example of a noise-injection procedure in recurrent networks, which can be used to model biological neural systems. We show how adding structure to noisy training data can substantially improve the algorithm performance, allowing the network to approach perfect retrieval of the memories and wide basins of attraction, even in the scenario of maximal injected noise. We also prove that the so-called Hebbian Unlearning rule coincides with the TWN algorithm when noise is maximal and data are stable fixed points of the network dynamics.
Reduced form of statistical equilibrium equations and radiative transfer equations
Authors: Chichinin A I 
Published: September 2024

Abstract
An extension of the vector algebra for irreducible spherical tensor operators (ITOs) is proposed, which involves coupling two ITOs into a third one (

V

(

k
v

)

=

T

(

k
t

)

⊗

U

(

k
u

)
∗

), with the additional condition that one of the operators is a complex conjugate and therefore is not an ITO. The correctness condition is considered for this extension. The new coupling rule treats the density matrices

ρ

(

K
l

)

and all tensors related to light polarization (

J

(

K
r

)

or

T

(
K
)

) equally. This approach has been applied to rewrite the fundamental statistical equilibrium equations and radiation transfer equations relevant to astrophysical polarimetry. The revised equations are more concise and eliminate the need for the nj symbols. Instead, they utilize vector and scalar products of ITOs. All rate coefficients in the equations consist of two independent factors, the reduced matrix element from dipole moments and the product (vector or scalar) of the tensors

ρ

(

K
l

)

and

J

(

K
r

)

(or

T

(
K
)

).
Exploring exhaled breath volatile organic compounds in occupational asthma: a pilot cross-sectional study
Authors: Heiro Hilde , Hildre Tonje Trulssen , Craster Amy , Grimmett Liam , Tardelli Matteo , Hammarström Bato 
Published: September 2024

Abstract
Occupational asthma (OA) is divided into allergic asthma and irritant-induced asthma (IIA). IIA can be divided further into three different phenotypic subtypes. Volatile organic compounds (VOCs) in exhaled breath can reflect metabolic changes in the body, and a wide range of them have been associated with various diseases in the last two decades. This is the first known study to explore breath VOCs in subjects with OA, aimed to identify potential biomarkers to distinguish OA from healthy controls, as well as between different OA subgroups. In a cross-sectional investigation, exhaled breath from 40 patients with OA and 45 respiratory healthy healthcare workers were collected with ReCIVA® breath sampler. Samples were analyzed through an untargeted approach using thermal desorption-gas chromatography mass spectrometry, and VOCs were identified according to tier classification. The data underwent analysis using both non-parametric and parametric statistical methods. 536 VOCs were identified. Significance (p < 0.05) was observed in several emitted VOCs. Among these, compounds such as 1-hexadecanol, 2,3-butanediol, phenol, xylene, acetone, 3-methylhexane, methylcyclohexane, and isoprene have biological implications or are associated with exposures linked to OA. These VOCs may reflect metabolic changes in the body and the microbiome, as well as external exposures due to occupation. In particular, 1-hexadecanol, 2,3-butanediol, phenol and xylene are associated with reduced nicotinamide adenine dinucleotide and production of reactive oxygen species, mechanisms that can be linked to asthmatic diseases and therefore suggests its potential as biomarkers. This study demonstrates that VOCs detected in exhaled breath could serve as indicators of occupational exposure and enhance diagnostic accuracy for asthma.
Mapping spatial analysis of fish disease incidence and antibiotic resistance trends in selected provinces of Indonesia
Authors: Wiratama N , Uchuwittayakul A , Susanto Y , Utari H B , Muna N , Satriagasa M C 
Published: September 2024

Abstract
Monitoring and visiting farmers affected by fish mortality is imperative. It offers insights into fish disease mapping and the trend of antibiotic resistance, serving as a fundamental for future strategies for preventing and treating fish diseases. The data collection was carried out by visiting farmers who suffered from fish mortality in 2022 in East Java, South Kalimantan, and Bali provinces. A total of 128 samples of infected fish were collected and analyzed using PCR and standard microbiological methods, and the findings were analyzed using spatial analysis and visual interpretation. Based on PCR results, the prevalence of fish diseases showed 65% iridovirus cases in gourami and tilapia, 31% in tilapia was TiLV, and 4% were Francisella sp. infection in tilapia. According to the results of microbiological tests, 86% of Edwardsiella tarda samples in pangasius were resistant to Oxytetracycline. Aeromonas sp. infection was the highest case in catfish, 58% were sensitive to Sulfamethoxazole. Streptococcosis was a typical tilapia disease that was 62% susceptible to Enrofloxacine and Sulfamethoxazole. Cases of Nocardia sp. and Staphylococcus sp. infection in gourami were found to be 71% intermediate to Enrofloxacine and Oxytetracycline, respectively.
The influence of different stocking density on growth rate and survival rate koi larvae (Cyprinus carpio)
Authors: Azizah D , Dewi N N , Amin M , Fauzan A L 
Published: September 2024

Abstract
Stocking density has an important role in the survival and growth of fish larvae. The purpose of this study was to determine the optimal stocking density level for larval rearing with improved feed. Tubifex sp. which has a high protein content of about 57% and fat as much as 13%. The method used was the experimental method with a completely randomized design (CRD) on 4 different treatments of stocking density with 3 replications. The treatments given were P0/Control (1 individual/L), P1 (2 individuals/L), P2 (3 individuals/L), and P3 (4 individuals/L) maintained for 49 days. The results obtained during the study were the growth rate values of P0 (0.021 gram/day), P1 (0.017 gram/day), P2 (0.016 gram/day), and P3 (0.017 gram/day). The survival rates are P0 (90.00%), P1 (91.00%), P2 (90.33%), and P3 (87.50%). Absolute length values P0 (1.94cm ), P1 (1.70cm ), P2 (1.70cm), and P3 (1.77 cm) The quality of the water obtained is that the temperature ranges from 26–29, the pH is 6.8–8.1, and the DO is 5–6. The results showed that different stocking densities had no significant effect (p > 0.05) on the survival and growth rate of koi fish.
The antibacterial activity test of salt gel face mask with chitosan extract against propionibacterium acnes and staphylococcus aureus bacteria as antiacne preparations
Authors: Febriyanti M D , Alamsjah M A , Saputra E 
Published: September 2024

Abstract
Salt is a collection of chemical compounds with the main content in the form of NaCl. The mineral content in salt provides health functions for the body, one of which is acne. Salt gel face mask with chitosan extract has the potential to be used as an antibacterial (antiacne) preparation. The purpose of this study was to determine the effective antibacterial activity and concentration of salt used as an antiacne preparation against Propionibacterium acnes and Staphylococcus aureus bacteria in salt gel face masks. The research method used was a laboratory scale experimental method with a completely randomized design (CRD) consisting of 5 treatments and 4 repetitions. The treatment consists of a gel face mask with the addition of a salt concentration of 0%, 10%, 15%, 20% and 25%. The main parameters of this study were antibacterial activity, while the supporting parameters included pH, homogeneity, viscosity, organoleptic and SEM-EDX analysis. The results showed that the addition of different salt concentrations to the salt gel face mask had an effect on the antibacterial activity of the salt gel face mask. The best formulation is in the F4 treatment with a salt concentration of 25%.
The effect of different salt concentrations on the physical properties of preparations gel face scrub gracilaria sp.
Authors: Mutiara L , Alamsjah M A , Saputra E 
Published: September 2024

Abstract
Human skin is often exposed to sunlight and pollution so it looks dull and lacks shine. This causes a buildup of dead skin cells so it is necessary to exfoliate using a Scrub. The Scrub material that can be used is salt. The purpose of this study was to determine the effect of adding salt concentration on the physical properties of the face Scrub gel preparation Gracilaria sp. The method used in this study was a completely randomized design (CRD) experiment with four treatments and five replications. The treatment used was administration with different salt concentrations, namely P0 (0%), P1 (10%), P2 (20%) and P3 (30%). The main parameters observed were the physical properties of the facial Scrub gel preparation which included pH test, homogeneity test, viscosity test, organoleptic test, specific gravity test. While the supporting parameters are irritation test and SEM-EDX test. The results showed that the administration of different salt concentrations had a significant effect on the physical properties of the facial Scrub gel preparation. The best formulation was in the P2 treatment (20% salt).
First Record of the invasive Banded jewel cichlid Hemichromis elongatus (Guichenot, 1861) (Teleostei: Cichlidae) on Bangka Island, Indonesia
Authors: Insani L , Jatayu D. , Valen F S , Hasan V 
Published: September 2024

Abstract
The introduction of non-native species into an ecosystem has been found to have a notable detrimental effect on the environment. Hemichromis elongatus, in particular, is recognized as one of the more problematic invasive species. In fact, Hemichromis elongatus introductions are linked to human activities, primarily associated with the aquarium trade. This study examines the presence of Hemichromis elongatus on Bangka Island, where it was inadvertently introduced into the aquatic environment by the indigenous population. During the field trip that we undertook between the months of August and September 2023, in the Jebus River, West Bangka Regency, we discovered at least one hundred live specimens of Hemichromis elongatus in a single round of sampling using the fish trap. This is a significant number that represents a significant level of invasion. However, invasive alien species are most harmful to freshwater ecosystems, which are prone to biodiversity loss. Due to this fact, it is strongly advised that the foreign fish and the effect they have on the ecology be continuously monitored.
Management of the frozen cunning fish (Caesio cunning) meatball products in UD. Family Food Gresik
Authors: Audrynachristie B S , Puteri D C H , Purbaningrum Y T T , Diyah  , Samara S H 
Published: September 2024

Abstract
Frozen food is the result of food processing using a method of lowering the temperature to freezing point which aims to extend the shelf life of food products. Initially, frozen food products were created for someone who was unable, unwilling, or had no time to prepare food for themselves, but people’s lifestyles have changed from conventional to modern. The aimed of this research was to find out the Personal Hygiene of workers in the cunning fish (Caesio cuning) meatball production and identification of its dangers at UD. Family Food Gresik. The work method used is a descriptive method by collecting primary and secondary data. Primary data was obtained by active participation, observation and interviews. Meanwhile, secondary data was obtained through library research and other supporting data/information/information. Process of processing fish meatballs at UD. Family Food overall was in compliance. Every stage of processing had implemented Personal Hygiene for its workers, and identified the dangers in each processing process quite well.