bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-efficiencyBasedonGeneralized-DEAandItsApplication
Authors: Shu Yingting , Cai Yongrun 
Published: December 2023

Abstract
Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference set in efficiency evaluation but also ranks distinguishably all DMUs. A numerical example and comparative analysis are given to illustrate the reasonableness of the cross-GDEA model. Comparative analysis with several established DEA models reveals the superior flexibility and generality of our method. Furthermore, an application aiming at measuring the multiple-factor carbon productivity of Western China is given to verify the applicability of the cross-GDEA model. Results show the proposed approach can contribute to advancing the theoretical and practical research of DEA.
A Study on Positive Integer Points of Elliptic Curve y
2 = 7mx(x
2 + 512)
Authors: Du Xiancun , Zhao Jianhong , Lv Shuangqing 
Published: December 2023

Abstract
By using elementary methods such as the properties of congruence and Legendre symbols, it is proved that the elliptic curve y
2 = 7mx(x
2 + 512) has at most 1 positive integer point when q ≡ 5(mod8) is an odd prime number.
Low-Frequency Discontinuous Noise Diagnosis and Reduction of Air Conditioner Outdoor Unit
Authors: Mao Luyao , Ma Hailin , Long Danfeng , Zhang Liang , Chen Qiyu 
Published: December 2023

Abstract
Abnormal discontinuous low-frequency noise occurs in the outdoor unit when the air conditioner is operating at 86~96 Hz. This noise has the characteristics of low frequency, strong penetration, long transmission distance, and poor sound quality, which can cause serious noise pollution. In order to reduce the low-frequency noise of the outdoor unit of the air conditioner, the discontinuous noise frequency is first located by testing the time-domain and frequency-domain maps of the noise. It is then compared with the frequency of fan rotation noise and structural radiation noise. It is found that the discontinuous noise is caused by the coupling of fan rotation noise and structural radiation noise. It is found that low-frequency noise improvement is significant when the frequency difference between two noise peaks is greater than 8 Hz or when a single noise peak is less than 25 dB(A) by studying the methods of frequency modulation and amplitude modulation of noise peaks. By adjusting the fan speed from 930 rpm to 940 rpm, the problem of 94 Hz noise is solved. Then, through testing the natural frequencies of the pipe and shell, it is found that the natural frequencies of the pipe are close to the excitation frequencies. The structural radiation noise is mainly caused by the pipe. Modal analysis is conducted on the pipe. When the normal boundary with the condenser and the normal boundary with the valve of the pipe is constrained by springs, the simulated values are closer to the measured values. Finally, structural optimization design is carried out on the pipe. When the U-tube of the exhaust pipe is shortened by 30 mm, a 30 g mass block is added to the cold inlet pipe, and a 97 g mass block is added to the lower part of the valve pipe of the suction pipe. The discontinuous noise of the optimized prototype is significantly improved.
Research on Denoising of GIS Ultra-High Frequency Partial Discharge Signal Based on VMD Combined with S-G Filter
Authors: Yuan Chao , Ding Xiaosen , Cheng Henxiang , Zhu Lei , Li Yilei 
Published: December 2023

Abstract
Given the problem that it is easy to receive thermal noise interference from the electronic circuit and equipment circuit of the detection system in the current feature frequency detection of Gas Insulated Switchgear (GIS) equipment, this paper proposes an ultra-high frequency (UHF) signal noise reduction method based on variational mode decomposition (VMD) combined with Savitzky-Golay (S-G) filter and tests it through simulation. By using VMD combine with the S-G filter method, the signal-to-noise ratio (SNR) of signals can be effectively improved and the interference of white noise to signals can be reduced.
Simulation study of partial discharge UHF signal propagation characteristics in GIS
Authors: Xu Honghua , Yuan Chao , Ding Xiaosen , Xu Ziqiang , Zhu Lei 
Published: December 2023

Abstract
Insulation defects inside a Gas Insulated Switchgear (GIS) can generate partial discharges, and the current pulses caused by them can excite ultra-high frequency (UHF) electromagnetic waves. To study the attenuation characteristics of UHF signal propagation in GIS, simulation models of the straight cylinder, insulator, L-type, and T-type structures are established by CST simulation software. Then the propagation characteristics of partial discharge UHF signal are studied and analyzed. The simulation results show that the electromagnetic wave propagates in each structure inside the GIS with different degrees of attenuation. When passing through insulators continuously, the first insulator has the most serious attenuation; when passing through T-shaped structures, the attenuation of T-shaped vertical branches is more serious than linear branches.
SVG Loss Estimation Method Based on Extreme Gradient Boosting
Authors: Xiao Rongyang , Huang Yan 
Published: December 2023

Abstract
Static Var Generator (SVG) consumes large amounts of electrical energy during its operation, generating high equipment operating costs. Therefore, it is necessary to quantify the operating SVG loss. However, the existing methods of loss estimation generally have notable problems, such as large deviations in loss estimation results. In this paper, we propose a method for calculating SVG loss and establish an SVG loss estimation model based on the extreme gradient boosting algorithm under different operating conditions. First, some data obtained by simulation experiments are input into the algorithm model for training, and the hyperparameters of the model are adjusted by the Bayesian optimization algorithm. Then, a new test set is constructed by superimposing the measurement errors with different signal-to-noise ratio noises on the test set data. Finally, the test set is fed into the trained model for testing to validate the effect of the present model. The experimental results show that the model can quickly and accurately achieve loss estimation of SVG devices with good engineering practicality.
Quick-look method and system for multi-domain space science experiment data
Authors: Yu Haijun , Cao Kaiyang , Yang Mengbo , Li Shengyang 
Published: December 2023

Abstract
Space science experiment data contains huge application value. It is important to design methods and systems to have a quick look at the process of data processing. An integration framework is proposed in this paper. Several basic visual components are designed to support the quick look requirements of different types of data. The dynamic configuration mechanism of the visual view can effectively improve the scalability and user experience friendliness of the system. The method of the interactive layout of the front-end interface can make the visual effect of the page richer. It also supports the self-adaptation of the display screen with different resolutions. The dynamic registration mechanism for visual views ensures the synchronization of data display in multiple identical visual views. Finally, a quick-look system is implemented, which achieves the integration and quick look of multi-domain space science experiment data. The validity of the proposed system is verified by the practical application.
TBGD: Deep Learning Methods on Network Intrusion Detection Using CICIDS2017 Dataset
Authors: Zhao Yifan , Hu Zhanhui , Liu Rongjun 
Published: December 2023

AbstractWith the development of science and technology, more and more personal information is uploaded to the Internet, which poses a serious threat to our personal and property security. As machine learning and deep learning techniques continue to develop, they become increasingly powerful at extracting data and improving the accuracy of classifying malicious traffic. This paper proposes an intrusion detection model based on Transformer, BiGRU, and DNN, referred to as the TBGD model. The Multi-Head Attention mechanism and Feedforward Neural Network in Transformer help capture global relationships and information; BiGRU models sequential information in sequences; DNN learns complex nonlinear relationships and generates accurate intrusion detection predictions. To solve the problem of data set imbalance, we adopted the RUSK sampling mechanism, in which we used Random-Under-Sampler for majority class samples and K-SMOTE oversampling for minority class samples to balance the data set. In addition, the experiment uses the CICIDS2017 dataset. The experiment shows that after the RUSK sampling mechanism balances the data set, the TBGD model has a higher overall classification accuracy and a higher recognition rate for minority classes than the machine learning and deep learning algorithms compared to the experiment.
Convex Robust Recovery of Corrupted Tensors via Tensor Singular Value Decomposition and Local Low-Rank Approximation
Authors: Jiang Yuanxiang , Zhang Qixiang , Yuan Zhanjiang , Wang Chen 
Published: December 2023

Abstract
This paper discusses the recovery of tensor data corrupted by random noise. Our approach assumes that the potential structure of data is a linear combination of several low-rank tensor subspaces. The goal is to recover exactly these local low-rank tensors and remove random noise as much as possible. Non-parametric kernel smoothing technique is employed to establish an effective mathematical notion of local models. After that, each local model can be robustly separated into a low-rank tensor and a sparse tensor. The low-rank tensor can be recovered by minimizing a weighted combination of the norm and the tensor nuclear norm (TNN) obtained as the tightest convex relaxation of tensor multi-linear rank defined in Tensor Singular Value Decomposition (TSVD). Numerical simulation experiments verify that our proposed approach can effectively denoise the tensor data such as color images with random noise and has superior performance compared to the existing methods.
Unraveling the secrets of γδ T cells with single-cell biology
Authors: Sagar  
Published: December 2023

AbstractRecent technological advancements have enabled us to study the molecular features of cellular states at the single-cell level, providing unprecedented resolution for comprehending the identity and function of a cell. By applying these techniques across multiple time frames, tissues, and diseases, we can delve deeper into the mechanisms governing the development and functions of cell lineages. In this review, I focus on γδ T cells, which are a unique and functionally nonredundant T cell lineage categorized under the umbrella of unconventional T cells. I discuss how single-cell biology is providing unique insights into their development and functions. Furthermore, I explore how single-cell methods can be used to answer several key questions about their biology. These investigations will be essential to fully understand their translational potential, including their role in cytotoxicity and tissue repair in cancer and regeneration.
Promoting a Sleep-friendly Environment by Minimizing Overnight Room Entries
Authors: McDaniel Lauren M. , Seshadri Nilesh , Harkins Elizabeth A. , Keydash Megan , Pan Alice , Sterni Laura M. , Ralston Shawn L. 
Published: December 2023

Introduction:
Despite its importance in illness recovery, the sleep of hospitalized children is frequently interrupted. This quality improvement intervention aimed to reduce overnight room entries by minimizing unnecessary interventions.

Methods:
This study occurred at a university-affiliated children’s hospital on the hospital medicine services from March 26, 2021, to April 14, 2022. The intervention included order set changes and the implementation of a rounding checklist designed to address factors most closely associated with sleep disruption and overnight room entries. The outcome measure was overnight (10 pm to 6 am) room entries, counted using room entry sensors. Process measures reflected the intervention targets (overnight vital sign orders, medication administration, and intravenous fluid use). The method of analysis was statistical process control charting.

Results:
After identifying special cause variation, the average number of overnight room entries decreased from 8.1 to 6.8, a 16% decrease. This decrease corresponded with the implementation of a rounding checklist. However, there continued to be variability in average room entries, suggesting a process lacking ongoing stability. During this period, avoidance of overnight medications and intravenous fluid increased by 28% and 17%, respectively.

Conclusions:
Implementing a rounding checklist to a broad patient population decreased overnight room entries. However, future work is needed to better understand the factors associated with sustaining such an improvement.
Patient Perspectives on Selecting an Academic Aesthetic Surgeon
Authors: Chen Shirley , Park Benjamin C. , Makhoul Alan T. , Perdikis Galen , Hammack-Aviran Catherine M. , Drolet Brian C. 
Published: December 2023

Background
Growth of the aesthetic surgery marketplace has increased patient choice in provider selection. This study aimed to characterize how patients choose an aesthetic surgeon, identify knowledge gaps in this decision-making process, and understand why patients select academic aesthetic surgeons.

Methods
A qualitative interview study of aesthetic surgery patients from an academic center was conducted. Purposive sampling maximized representation regarding surgeon, surgery type, and patient demographics. An interview guide was developed in collaboration with content and methodology experts, then refined through pilot testing. Emergent themes were identified using a codebook constructed by grounded theory.

Results
Thematic saturation was achieved with 24 patients. When selecting a surgeon, participants valued bedside manner (24 of 24) and past patients' satisfaction (18 of 24). Most participants (16 of 24) ascribed low importance to board certification. Reasons given for choosing an academic practice included the institution's reputation (13 of 24) and the availability of medical records and other specialties if complications arise (8 of 24). Participants demonstrated knowledge gaps regarding medical training and licensure. No participant (0 of 24) was aware that any licensed physician can offer aesthetic surgery, and nearly all participants (23 of 24) expressed discomfort with this.

Conclusions
Patients prioritize subjective elements when selecting an aesthetic surgeon, relying less on objective and meaningful qualifications like board certification and training background. Academic aesthetic practice is valued because of reputation and ability to function as a medical home. Given the lack of public understanding regarding physician training, initiatives promoting transparency are needed to ensure that patients can make safe, informed decisions.
Risk-stratified thromboprophylaxis effects of aspirin versus low-molecular-weight heparin in orthopedic trauma patients: A secondary analysis of the PREVENT CLOT trial
Authors: O'Hara Nathan N. , O'Toole Robert V. , Frey Katherine P. , Castillo Renan C. , Cuschieri Joseph , Haut Elliott R. , Slobogean Gerard P. , Firoozabadi Reza , Christmas A. Britton , Obremskey William T. , Carlini Anthony R. , Gaski Greg E. , Kutcher Matthew E. , Marvel Debra , Stein Deborah M. ,   Major Extremity Trauma Research Consortium (METRC)
Published: December 2023

BACKGROUND
The PREVENT CLOT trial concluded that thromboprophylaxis with aspirin was noninferior to low-molecular-weight heparin (LMWH) in preventing death after orthopedic trauma. However, it was unclear if these results applied to patients at highest risk of thrombosis. Therefore, we assessed if the effect of aspirin versus LMWH differed based on patients' baseline risk of venous thromboembolism (VTE).

METHODS
The PREVENT CLOT trial enrolled 12,211 adult patients with fractures. This secondary analysis stratified the study population into VTE risk quartiles: low (<1%) to high (>10%) using the Caprini score. We assessed stratum-specific treatment effects using the win ratio method, in which each patient assigned to aspirin was paired with each assigned to LMWH. In each pair, we compared outcomes hierarchically, starting with death, then pulmonary embolism, deep vein thrombosis, and bleeding. The secondary outcome added patients' medication satisfaction as a fifth composite component.

RESULTS
In the high-risk quartile (n = 3052), 80% had femur fracture, pelvic, or acetabular fractures. Thoracic (47%) and head (37%) injuries were also common. In the low risk quartile (n = 3053), most patients had a tibia fracture (67%), 5% had a thoracic injury, and less than 1% had head or spinal injuries. Among high risk patients, thromboembolic events did not differ statistically between aspirin and LMWH (win ratio, 0.94; 95% confidence interval [CI], 0.82–1.08, p = 0.42). This result was consistent in the low (win ratio, 1.15; 95% CI, 0.90–1.47, p = 0.27), low-medium (win ratio, 1.05; 95% CI, 0.85–1.29, p = 0.68), and medium-high risk quartiles (win ratio, 0.94; 95% CI, 0.80–1.11, p = 0.48). When medication satisfaction was considered, favorable outcomes were 68% more likely with aspirin (win ratio, 1.68; 95% CI, 1.60–1.77; p < 0.001).

CONCLUSION
Thromboembolic outcomes were similar with aspirin or LMWH, even among patients at highest risk of VTE. Aspirin was favored if medication satisfaction was also considered.

LEVEL OF EVIDENCE
Therapeutic/Care Management; Level II.
Foraging guild structure of seabirds
Authors: Hernández Juan , Arroyo Jose Ignacio 
Published: December 2023

AbstractAn ecological guild is a group of species that exploit the same resources, or that exploit the same or different resources in a related way. We built The Foraging Guilds of Seabirds database (FGSdb) by compiling a global database of 311 seabird species (from a total of 346 known) and assigning to each of them their diet types and foraging strategy. Across all seabirds, there were found 22 diets and 30 strategies. The number of diet categories for a species varied between 1 and 11, and the number of strategies varied from 1 to 9, with averages of 2.71 and 3.65, being the ratio diet/strategies of 0.74 (∼3/4), meaning that on average with four strategies they can exploit up to 3 diet items. Beyond this description, we show that the Gusein-Zade model fits well both the frequency rank and number of species per guild distributions. Our database and analyses provide a useful resource database for future studies and demonstrate simple rules behind guild structure.
Imaging Electrical Activity of Retinal Ganglion Cells with Fluorescent Voltage and Calcium Indicator Proteins in Retinal Degenerativerd1Blind Mice
Authors: Jung Younginha , Lee Sungmoo , Rhee Jun Kyu , Lee Chae-Eun , Baker Bradley J. , Song Yoon-Kyu 
Published: December 2023

ABSTRACTIn order to understand the retinal network, it is essential to identify functional connectivity among retinal neurons. For this purpose, imaging neuronal activity through fluorescent indicator proteins has been a promising approach offering simultaneous measurements of neuronal activities from different regions of the circuit. In this study, we used genetically encoded voltage and calcium indicators, Bongwoori-R3 and GCaMP6f, to visualize membrane voltage and calcium dynamics in the form of the spatial map within retinal ganglion cells from retina tissues of the photoreceptor degeneratedrd1mice. Retinal voltage imaging confirmed current-evoked responses from somatic spiking and intercellular conduction, while calcium imaging showed current evoked changes in calcium concentrations of presynaptic neurons. These results indicate that the combination of fluorescent protein sensors and high-speed imaging methods permits imaging electrical activity with cellular precision and millisecond resolution. Hence, we expect our method will provide a potent experimental platform for the study of retinal signaling pathways as well as the development of retinal stimulation strategies in visual prosthesis.
Constructing the foundations of microeconomic analysis of Chinese economics: based on the theory of classified reform of state-owned enterprise
Authors: Yang Ruilong 
Published: December 2023

PurposeSince the core issue of Chinese economics is to elucidate the logical relationship between socialism and the market economy, it necessitates a robust foundation for microeconomic analysis to uncover the behavioral patterns and characteristics of microeconomic agents in a socialist market economy and identify the conditions and methods for the functioning of market mechanisms.Design/methodology/approachThe core issue of microeconomics with Chinese characteristics is to identify the economic logic of how market mechanisms play a decisive role in resource allocation under the basic socialist economic system based on China's reform.FindingsThe core issue in building the foundation of microeconomic analysis of Chinese economics is addressing the compatibility issue between SOEs and a market economy.Originality/valueIn the author’s view, this can be achieved under the logic of classified reform so as to build the microeconomic foundation for the effective functioning of a socialist market economy.
Consequences of implementing activity-based flexible offices in academia: a follow-up study of perceived changes in the physical and psychosocial work environment after relocation
Authors: Toivanen Susanna , Berthelsen Hanne , Muhonen Tuija 
Published: December 2023

Purpose
This study aims to investigate university staff relocation from multiple separate buildings to a new building with activity-based flexible offices (AFOs) at a University in Sweden. The aim was to assess staff perceptions of the physical and psychosocial work environment and whether there were any changes in these perceptions before and after the move.

Design/methodology/approach
A mixed-methods design was used, analyzing closed-ended survey data at two time points (T1, n = 169 and T2, n = 160) and open-ended responses (n = 180) at T2.

Findings
The main findings revealed that employees started working more from home and that there were significant decreases in perceptions of the physical and psychosocial work environment, as well as job satisfaction, after the move to the new premises.

Practical implications
A comprehensive analysis of existing work processes, tasks and collaborations is crucial when planning new university premises. The planning process needs to be done in close collaboration with different stakeholders with multiple perspectives.

Originality/value
Introduction of AFOs in an academic setting can lead to negative consequences for occupational health and efficiency.