bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality and Quantity culture media effectively restored the number and vasculogenic function of mononuclear cells from chronic limb- threatening ischemia patients
Authors: Chruewkamlow Nuttapol , Sermsathanasawadi Nuttawut , Vorateera Kosit , Pruekprasert Kanin , Phutthakunphithak Phakawan , Prapassaro Tossapol , Hongku Kiattisak , Hahtapornsawan Suteekhanit , Puangpunngam Nattawut , Chinsakchai Khamin , Wongwanit Chumpol , Ruangsetakit Chanean 
Published: July 2023

Abstract

Background: Quality and Quantity (QQ) culture media was shown a promising effect in enhancing the vasculogenesis of mononuclear cells (MNCs) of healthy volunteers and chronic limb-threatening ischemia (CLTI) patients. In this study, the MNCs from CLTI patients were further investigated based of their risk factors.
Methods: In this study, MNCs from chronic limb-threatening ischemia (CLTI) patients with coexisting diabetes mellitus (DM), hypertension (HT), current smoker status, or chronic kidney disease (CKD) stage 3 or above were cultured in QQ culture media, and then investigated for angiogenesis-related phenotype and function. CLTI patients with DM, HT, current smoker status, or CKD were prospectively recruited. Forty-eight patients (mean age: 67.5±8.0 years) were included. DM, HT, current smoker status, and CKD was found in 34 (71.0%), 39 (81.0%), 27(56.3%), and 32 (66.7%) patients, respectively.
Results: In CLI patients with coexisting diseases, the percentages of CD34+, CD133+, CD34+ CD133+ progenitor cells; CD 206+ cells; colony forming cells; and, tube formation were significantly higher in the PBMNCs cultured in QQ media than in the PBMNCs cultured in standard culture media. However, the percentage of CD4+ CD25+ CD127+ cells was significantly lower in PBMNCs cultured in QQ culture media compared to the percentage in PBMNCs cultured in standard culture media.
Conclusions: Quality and Quantity (QQ)culture media was shown to effectively restore the number of vascular progenitor cells and the vasculogenic function of mononuclear cells from chronic limb-threatening ischemia patients with coexisting diabetes mellitus, hypertension, current smoker status, or chronic kidney disease stage 3 or above.
A Conditioned Joint-Modality Attention Fusion Approach for Multimodal Aspect-Level Sentiment Analysis
Authors: Yang Ying , Qian Xinyu , Tang Si , Zhao Qinna 
Published: July 2023

Abstract

Multimodal aspect-level sentiment analysis (MALSA) aims to predict the sentiment polarity of each given aspect in multimodal contexts. Previous studies usually developed deep neural networks to capture the impacts that a given aspect brings to text and images. However, the dynamic interaction between the intra-modality and inter-modality relations is seldom investigated before fusing the textual and visual representations. This paper presents a conditioned joint-modality attention fusion approach for the MALSA task, which can iteratively delivery useful information flow between and across textual and visual modalities under the guidance of aspect information for sentiment polarity prediction. The point is the dual conditioned-attention mechanism, which calculates intra-modality attention flows dynamically modulated by the other modality. Experiments are conducted on three public datasets including Twitter-2015, Twitter-2017 and Multi-ZOL. Results show that the proposed model outperforms the state-of-the-art models, and demonstrate the effectiveness of the proposed approach.
Mycoplasma bovis and Mannheimia haemolytica dynamics during acute bovine respiratory disease in feedlot cattle
Authors: Valeris-Chacin R. , Powledge S. , McAtee T. , Morley P. S. , Richeson J. 
Published: July 2023

Mycoplasma bovis is a bacterium member of the family Myco­plasmataceae, characterized by a small genome, lack of cell wall, and high nutritional requirements for in vitro growth (Li et al., 2011; Parker et al., 2018; Dudek et al., 2020). Traditionally, M. bovis has been linked to chronic BRD cases and treatment failures (Booker et al., 2008; Hermeyer et al., 2012; Gershwin et al., 2015; Becker et al., 2020). Several virulence factors have been implicated in M. bovis ability to persist in the lungs of cat­tle with BRD, such as variable surface proteins (Vsp), adhesins, nucleases, H2O2 production and biofilm formation (Burki et al., 2015; Perez-Casal, 2020). Due to the difficulties of growing M. bovis in the lab, the inherent culture bias (Prakash et al., 2021) could have shaped our current knowledge of M. bovis in BRD.
Recent evidence has emerged linking M. bovis presence in the upper respiratory tract with acute BRD status (Timsit et al., 2018; Centeno-Martinez et al., 2022). However, the association between M. bovis and other BRD agents, especially Mannheim­ia haemolytica, over time remains unknown during the first month on the feedlot. A more comprehensive understanding of the dependencies among BRD pathogens over time will help develop new non-antibiotic control strategies and subsequently reduce the burden of BRD on beef cattle production. Therefore, this study aimed to evaluate the association of M. bovis and M. haemolytica during acute BRD in feedlot cattle.
Unveiling Wide Spectrum Therapeutic Implications and Signaling
Mechanisms of Valsartan in Diverse Disorders: A Comprehensive Review
Authors: Kumar Kuldeep , Rawat Pooja , Kaur Simrat , Singh Nirmal , Yadav Harlokesh Narayan , Singh Dhandeep , Jaggi Amteshwar Singh , Sethi Dimple 
Published: July 2023

Abstract:
Valsartan is an orally active non-peptide angiotensin receptor antagonist, an effective
and well-tolerated anti-hypertensive drug. Besides its antihypertensive action, it has clinical
implications in many other disorders, like heart failure (HF), arrhythmia, chronic kidney disease
(CKD), diabetic complications (DM), atherosclerosis, etc. Besides angiotensin receptor blocking
activity, valsartan reduces circulating levels of biochemical markers, such as hs-CRP, which is
responsible for its anti-inflammatory and anti-oxidant activity. Moreover, valsartan also acts by
inhibiting or inducing various signalling pathways, such as inducing autophagy via the
AKT/mTOR/S6K pathway or inhibiting the TLR/NF-kB pathway. The current review exhaustively
discusses the therapeutic implications of valsartan with specific emphasis on the mechanism of
action in various disorders. The article provides a detailed spectrum of the therapeutic profile of
valsartan and will likely be very useful to researchers working in the relevant research areas.
Research on multi-objective collaborative control of complex product development in equipment manufacturing industry
Authors: Hao Ruiqing , Sai Yunxiu , Ren Qian 
Published: July 2023

Abstract
Equipment manufacturing involves the integration of multiple technologies and is a complex product system. In the independent innovation of complex product systems, product development is the most important way. Multi-objective cooperative control has been applied to various industries with remarkable results. In this paper, high quality research and development of complex products in equipment manufacturing industry is the main goal. Inspired by the dimensional parameters of the key structures of the product and the structure of the endocrine regulation network, a multi-objective collaborative controller consisting of a speed and position coordinator, a module consisting of a speed and position coordinator, a hormone discriminator, a hormone optimizer, and a controller is designed. The data from the cooperative control study shows that when the controller parameters [3, 1, 2] are used, the velocity parameter is 0.7, the differential parameter is 0.04, and the controller output parameter is 0.8. The force control parameter is 2, the differential parameter is 0.05, and the controller output parameter is 0.7. In the multi-objective cooperative control experiment, the navigator makes a uniform circular or uniform linear motion with [v
1, w
1]
T
= [0.06,0.09]
T
. The vector forms r
2

d
= [0.4,0.4]
T, r
3
d =[−0.1,0.2]
T
,. Both the red curve and the blue curve of the follower appear jittered. The experimental curves and control trajectories illustrate that the controller has good control over the vibration and shock phenomena that occur during the position and speed as well as force control of the product. And exhibits good tracking performance. It shows that the multi-objective collaborative controller plays a role in improving the quality of the development of complex products in the equipment manufacturing industry.
Research on Harmonic Overvoltage of Cable Sheath on 220kV Side of Electric Railway Traction Station
Authors: Cao Jinying , Chen Jie , Tan Xiao , Li Chenying , Zhang Wei , Fang Chunhua , Zhuang Li , Zhang Yilin , Li Fang 
Published: July 2023

Abstract
The special operation mode of high-speed railway will generate a large amount of harmonics. The harmonics will be transmitted to the 220kV side high-voltage cables through the traction transformer, and harmonic voltages will be generated on the cable sheath, threatening the safe operation of the cables. In this paper, on the basis of the measured harmonic data of the traction substation, a harmonic source model based on the measured data is established, which solves the complex problem of harmonic source modeling and can accurately reflect the actual operating conditions of high-speed trains. On this basis, the harmonic voltage characteristics of the cable sheath on the 220kV side of the high-speed railway under the three working conditions of traction, regenerative braking and inertia are simulated and calculated, and the effects of cable length, cable grounding method, and harmonic current parameters on the harmonic voltage are explored. Affect the law. The results show that under different operation modes of high-speed rail, the harmonic voltage of the sheath far exceeds the normal operation of the power frequency, and the maximum value of the harmonic voltage of the cable sheath can reach 454V under the traction condition; Under working conditions, the overvoltage of the metal sheath is greatly affected by the grounding method of the cable, the length of the cable and the harmonic current content. The above research results have important reference significance for the safe operation of electrified railways.
Application of Natural Language Processing-based Emotional Semantic Analysis in the “One Core, Three Integrations” Vocal Music Teaching Model
Authors: Shan Jie 
Published: July 2023

Abstract
To be able to better improve musical literacy and artistic aesthetics, this paper presents a study on the application of sentiment analysis for vocal music teaching under natural language processing. Firstly, for the training text that has been labeled with categories, a suitable classification model is built for the unlabeled test text using the model category prediction. The sum of the identified sentiment scores is calculated, and the different results are compared to set a reasonable threshold to determine the sentiment polarity. According to the mutual information statistic value of each feature item, the feature items with a mutual information statistic value higher than the threshold are retained. The weights of each feature term are normalized to the interval to which the range of weights is normalized, and the feature weights are obtained. The optimal classification surface is calculated by converting the Lagrangian optimization method into a problem of finding the pair, which makes the low-dimensional problem transformed into a high-dimensional space and combines the advantages of Bayes’ ability to automatically adjust the weight coefficients in training and the huge training capacity of neural networks to improve the flexibility and robustness of the training model. Feature extraction is performed by convolutional layers, and the dimensionality of the feature vector is reduced by the maximum pooling method to realize an emotional-semantic vocal teaching model. The results show that the proposed method can improve the flexibility and accuracy of the semantic analysis model, and also enhance the training robustness of the network, with the F1 value reaching 91.65%, which can accurately mine the application data of “one core and three integrations” vocal teaching model and improve the teaching model in universities.
Blockchain-based data management mechanism for virtual power plants
Authors: Zhang Xudong , Li Fei , Wang Hongxi , Shi Lun , Wu Yidi , Li Chunhai 
Published: July 2023

Abstract
With the gradual deepening of power-related research and the expansion of power data volume, power data-oriented research and applications have fully entered the era of big data and cloud storage. The huge amount of heterogeneous data samples also bring a huge impact on traditional data processing methods. Therefore, let each virtual power plant participate in the electricity market externally as a unified power plant, and build a blockchain structure of multiple virtual power plants in the form of a slice. The structured data such as the basic information of the account is stored in the enterprise database in a relational data model and managed through an identity verification policy. The mechanism of off-chain negotiation and on-chain settlement is used to manage the transaction data. The management mechanism is further improved by combining an encryption scheme and a security evaluation method. After the practical test of the management mechanism, the time consumed for one and two parallel operations reaches 23 seconds and 8 seconds, and 4 seconds and 9 seconds or less for three and four times, respectively. In the case of nine users’ data distortion, the root means the square value of the blockchain data management mechanism is only 0.82, which is significantly less than 1. It shows that the blockchain-based data management mechanism, as a new generation of power data management means, can not only effectively integrate the power grid information data and relieve the pressure of the power grid system, but also avoid data leakage and strengthen power security.
Innovative teaching strategies for art and design based on VAR model
Authors: Gao Qinyan 
Published: July 2023

Abstract
The rapid development of art and design nowadays puts forward higher and higher requirements on the teaching of art and design, and the bottleneck phenomenon of cultivating innovative ability in art and design is becoming more and more prominent. To study the innovative teaching strategy of art design, this paper proposes a creative new teaching strategy based on the VAR model for the current problems in art design teaching. The experiment examines the feasibility of the strategy in three dimensions: student satisfaction, innovation rating, and comprehensive rating of teaching outcomes. The results showed that the innovative teaching strategy increased the percentage of satisfied students by 29.7% and decreased the percentage of dissatisfied students by 50%. The mean value of students’ innovation rating in the traditional teaching mode was 58.3, while the mean value of students’ innovation rating in the VAR model-based teaching method was 67.3, an increase of 15.4%, showing that the innovation of teaching was recognized. In terms of the overall rating of teaching results, the mean value of traditional teaching was 61.5, and the mean value of innovative teaching was 81.3, an increase of 32.1%, which showed that the teaching effect was significantly improved. Moreover, the standard deviation of traditional teaching scores reached 10.01, which is much larger than 5.87 under innovative teaching. The adoption of an innovative teaching strategy can greatly shorten the gap between art and design students. In conclusion, the innovative teaching strategy proposed in this paper can be well adapted to the art and design classroom, which can be well accepted by students and improve the teaching effect.
Talent training model for music education majors based on the ADDIE model
Authors: Liu Shujuan 
Published: July 2023

Abstract
The orientation of music teachers’ talent training and the construction of talent training models are the core issues of concern for the reform of music education majors. Facing the new requirements of society for music education professional talents training in the new period, this paper proposes an improved talent training model based on the ADDIE model by studying the current situation of music education professional talents training from the perspective of adapting to the development needs of music curriculum reform in basic education. From the assessment of students’ and teachers’ evaluation and acceptance of the model, the mean value of students’ evaluation scores increased from 64.7 to 75.7 compared with the original training model, an increase of 17.00%. The mean teacher evaluation score increased from 67.0 to 72.7, an increase of 8.51%. It is evident that the talent development model has improved and is accepted by students and teachers. In terms of the acceptance of the training model proposed in this paper, the percentage of students who strongly agree with it has increased by 19.8%, the percentage of students who can accept it has increased by 20.2%, and the percentage of students who cannot adapt to the teaching model has decreased by 6.1 percentage points, with a comparative decrease of 20.3%. Teachers were also more accepting of the new training model, and the percentage of those who could accept it increased by 5.3 percentage points and 7.17% in comparison. In conclusion, the talent cultivation model of music education based on the ADDIE model can be well adapted to the teaching classroom of colleges and universities and also meets the needs of the country and society for music teachers in the new era, which is conducive to the cultivation of composite talents who are highly educated and have a solid theoretical foundation and excellent practical ability.
Transmutation and Reconstruction of Enterprise Management Model Framework Based on Improved Markov Model
Authors: Xu Haiyan 
Published: July 2023

Abstract
With the deepening of socialization, the requirements for enterprises are getting higher and higher, which also prompts enterprises to innovate their management models. To enable enterprises to find the correct way to reconfigure their corporate management models, a prediction method based on an improved Markov model is used to forecast the direction of corporate management model reconfiguration. In this paper, the residuals generated by fitting GM (1, 1) at each time node are considered as the expected output values of positive and negative two random states under the state probability distribution, and the squares loss function of the residuals is established as the objective function. To obtain the minimum value of the squares loss function, the gradient descent algorithm is applied to approximate the optimal values of the probability intensity and the pending coefficients of the Kolmogorov equation under the condition of the available small amount of information, and then the Markov model correction value is determined to correct the prediction results of GM (1, 1), which effectively improves the reasonableness and feasibility of the Markov model to predict the results of the enterprise management model architecture reconstruction. The results of the calculation of the data show that According to the calculation results of the data, it can be seen that the gradient descent Markov model prediction results reduce the average relative errors of the three sets of data to 0.214%, 1.582%, and 4.134%, respectively, which is better than various other prediction models. It shows that the gradient descent algorithm based on the squares error loss function under the Markov model can effectively improve the reasonableness of the transfer probability intensity, enhance the reasonableness and reference value of the prediction results, and provide a practical direction for enterprises to reconstruct and transmute their management models under the condition of small sample data.
Analysis of the application of music curriculum education integrating modern network technology
Authors: Tu Shipei 
Published: July 2023

Abstract
During rapid chemistry, cultural convergence, and technological advancement, music education management has increasingly become an interdisciplinary discipline integrating musicology, pedagogy, management, educational economics, ethics, and related technological sciences. However, in the current structure of general music education, there is still a discrepancy between the reality and the ideal in terms of philosophy, content, methods, and evaluation in the practice of family, school, and social music education. In order to solve such problems, this paper focuses on the current knowledge-tracking mechanism in music learning education. Firstly, we analyze and compare the DKT model, DKVMN model, and LSTM neural network and propose a new LMKT model after studying the advantages and disadvantages. In order to analyze the characteristics of student learning data, the student learning process was observed visually on two online publicly available real data sets, ASSISTMents2009 and ASSISTMents2015. The results show that the AUC value of the LMKT model proposed in this paper (73.83%) is 4.62% and 1.15% higher than that of the DKT model (69.21%) and the DKVMN model (72.68%), respectively, and that knowledge tracking is less effective as the number of clusters increases when the number of student clusters K is greater than 6. When the number of K is less than 6, the knowledge-tracking effect becomes better as the number of clusters increases. It is finally concluded that the LMKT model shows a better tracking effect, and the clustering feature improves the knowledge-tracking ability of the model.
Corrosion and tribological behaviour of Friction Stir Processed AA2024-T351 alloy
Authors: Hari Lakshman R. B. , Ashwin A. , Vaira Vignesh R. , Chand Swaroop C. B. , Vignesh M. , Padmanaban R. 
Published: July 2023

Abstract
AA2024-T351, a heat treatable aluminum alloy, has a high strength to weight ratio and good fracture resistance and has application mainly in the aircraft and aerospace sector. However, the alloy is susceptible to high corrosion because of the secondary phases (Al2Cu) present in the matrix. With an objective to increase the corrosion and wear resistance, Friction Stir Processing is applied to engineer the morphology and dispersion of the Al2Cu phase in the alloy. The friction stir processing trials are performed by varying the tool rotation speed, tool traverse speed, and shoulder diameter, as the properties of the friction stir processed region depend on the proper selection of process parameters. A hybrid linear-radial basis function model is developed to explore the effect of tool rotation speed, tool traverse speed, and shoulder diameter on the grain size, microhardness, corrosion rate, wear rate, and corrosion potential of the friction stir processed AA2024-T351 alloy. The predominant corrosion mechanism and wear regimes in AA2024-T351 alloy are understood from the characterization study on the surface morphology and elemental analysis of the corroded and worn specimens. The optimum friction stir processing parameters that improve the grain refinement, microhardness, corrosion resistance and wear resistance of AA2024-T351 alloy are established.