bluuebunny/crossref_metadata_2025_split huggingface dataset:
Topological characterization of the microstructure of magnesium alloy materials based on complex networks
Authors: Yang Yongxin , Shi Yanhong , Feng Yashan , Li Jiang , Yang Shaolong , Liu Huazhou , Qu Chenming , Wei Baoli 
Published: October 2024

Abstract
Magnesium alloys, as the lightest commercial metal engineering structural materials, have good application prospects in the automotive, communication equipment, aerospace, and military industries because of their light specific gravity, high strength properties such as specific strength and stiffness, shielding from electromagnetic radiation, and easy recycling. In this paper, starting from the density and microstructure of magnesium alloy, the mechanical properties and corrosion resistance of magnesium alloy are proposed to measure the indexes, and the corresponding prediction model is constructed. Then, fine-crystal magnesium alloys are prepared sequentially by ingot casting and isometric channel extrusion, and then the microstructure of magnesium alloys is observed by scanning electron microscope and transmission electron microscope to extract the micro-parameters of magnesium alloys. A martensitic phase transition topology model was introduced to determine the macroscopic shape strain of magnesium alloy crystals. Complex network analysis is used to quantify the topological structure parameters of a magnesium alloy network in terms of degree, clustering coefficient, and average path length. Finally, the correlation between the macroscopic features and microstructure of magnesium alloy is explored with the obtained data, and the mechanical and corrosion resistance properties of magnesium alloy are analyzed through simulation experiments by combining them with the constructed prediction model. The microstructural topological characteristic parameters of magnesium alloys show that when the pressure is 50 kPa, the average path length after weighting decreases from 36.012 × 10−3 to 34.015 × 10–3, and the force transfer efficiency is gradually increasing. The AZ31 alloy samples obtained from casting in this paper have a capacitive arc diameter of about 1600 Ω-cm² and the best corrosion resistance among the tested samples.
Multidimensional data processing and tensor analysis for large-scale power grids in a parallel computing framework
Authors: Liu Changsheng , Zhou Mo 
Published: October 2024

Abstract
Grid data is compressed and stored without processing. There are problems of large compression errors and long running time, which affect the compression and storage effect. Therefore, this paper proposes a method for storing grid data using parallel computing frameworks. While drawing on the task scheduling strategy of MapReduce distributed computing framework, combined with the current situation of centralized deployment of data in the information system of the State Grid Corporation, an efficient tensor-based parallel computing method is proposed. The massive multivariate and heterogeneous smart grid data is compressed using the Tucker decomposition method for big data compression of smart grids. This method’s line resistance and reactance dynamic parameters have average values of 0.033 and 0.520, respectively, which are very close to the actual values. The method used in this paper has a high degree of accuracy in estimating resistance dynamic parameters. It possesses certain practical application performance. By predicting the daily average load of the North China Power Grid, the accuracy of the prediction data of the gridded load analysis is close to the actual value, indicating the superiority of the grid multidimensional data processing method designed in this paper.
Topology optimization-based visual element configuration method for exhibition display design
Authors: Wang Donglin , Chen Yijun 
Published: October 2024

Abstract
The spatial characteristics and structure of the exhibition display design are summarized through the analysis of the topological relationship of the exhibition display spatial structure, and the RCTG algorithm in IBM technology is applied to extract the above-described exhibition spatial topological relationship. Based on the actual situation of the exhibition design, the structural space constraint relationship is determined, and at the same time, the model API provided by the BIM platform is called to construct the component model based on the topological constraint relationship. Aiming at the problems of large differences in lighting distribution and large differences in color in the process of exhibition display design, we optimize such problems through visual element processing operations and realize visual element configuration from three aspects: color, picture, and white space. A case study of the exhibition designed in this paper is conducted by setting the model parameters. The results present that in the simulation analysis of scene combination optimization when, the entry rate grows to 18vis./min, at this time, the user’s overall exhibition viewing satisfaction reaches the peak, and the optimal limit number of people is 46. In addition, in the lighting analysis of the side interface + top interface of the exhibition, 30% high side windows + 25% decentralized strip skylights (B1+F1) have the highest values of each lighting, the proportion of area with a lighting coefficient of >2% (99.497%), the proportion of area with an illuminance of 400lux (91.571), the average lighting coefficient (7.046), and the uniformity of lighting (0.192). This study verifies the practical feasibility of research on exhibition display design based on topology optimization through experimental analysis.
Teacher career planning model and career development path optimization strategy in educational management
Authors: Liang Yuansong 
Published: October 2024

Abstract
Teachers’ career planning is one of the areas of focus in education management. This paper uses hyperplane and Lagrange optimization to classify samples and then constructs a prediction model of teachers’ career plans. Based on this, we analyzed the factors that influence teachers’ career satisfaction using both factor analysis and regression analysis techniques. The results indicated that an increase of 1 unit in career exploration, interpersonal relationships, ability improvement, and self-awareness led to a corresponding increase in teachers’ career satisfaction of 0.688, 0.242, 0.153, and 0.121 units, respectively. Therefore, this paper proposes to optimize teachers’ career development paths in terms of self-awareness of professional development, interpersonal communication, faculty management optimization, and full use of prediction models.
Research on active coordination control mechanism of provincial and local AGC in power system based on deep learning technology
Authors: Liao Dapeng , Li Hongkui , Wang Jiangtao , Zeng Xianzhen , Wang Xiaowei 
Published: October 2024

Abstract
AGC is the main means to maintain the active power balance of the power system and ensure the system frequency quality. In this paper, deep learning techniques are used to optimize AGC active coordinated control. The linearized model simplifies the dynamic system at the operating point, and in the AGC coordinated control system, the model parameters are estimated using the recursive least squares method. The discrete reinforcement learning DQN algorithm is used to construct the AGC optimization model, and the continuous reinforcement learning PPO algorithm is used to propose the optimization strategy for the AGC active coordinated control, which solves the problems of discretization error as well as dimensional catastrophe. The AGC active coordinated control test is being carried out at power station A in the northwest region of China as the study site. After the optimization, the average regulation rate, average response time, and average regulation accuracy of Generation Station A are improved to 0.4995, 0.7835, and 0.8082, respectively, and the comprehensive FM performance index is improved by 22.08% compared with that before the optimization. The economic benefits indexes such as FM capacity and FM mileage compensation revenue fee are improved, and the average response time qualification rate and regulation rate in October-December after optimization are improved by 5.87% and 6.38%, respectively, compared with the pre-optimization period.
Birds of prey in the collections of the Šariš Museum in Bardejov (Slovakia)
Authors: Csanády Alexander , Jászay Tomáš , Cibuľková Veronika 
Published: October 2024

Abstract
In this study, data presented of birds of prey (Accipitriformes, Falconiformes) specimens deposited in the collection of the Šariš Museum in Bardejov (SMB), Slovakia. The work builds on previous studies highlighting the importance of the SMB museum collections, but also the importance of the museum on a global scale. In total, data of 437 individuals belonging to 22 species from 86 sites in eastern Slovakia were evaluated. Individuals were acquired in 1954–1985 (and two specimens of Buteo buteo in 1998), but mainly in 1962 (n = 63, 14.4%) and 1963 (n = 32, 7.3%). Moreover, one specimen of the Common Buzzard (B. buteo) had signs of „a dilution (isabel)” and one bird of the Western Marsh Harrier (Circus aeruginosus) had signs of „melanism“. The importance of the work also includes cataloguing, which provides important data on regional museums and their collections that can be significant not only regionally but also globally. Moreover, in the SMB collections there are also 20 specimens of 15 species of exotic Accipitriformes and Falconiformes [1 ex. – Accipiter striatus; 1 ex. – Buteo buteo; 1 ex. – B. ventralis; 1 ex. – Buteogallus gundlachii; 1 ex. – B. meridionalis; 1 ex. – Caracara plancus; 1 ex. – Elanoides forficatus; 5 ex. – Falco sparverius; 1 ex. – Geranoaetus polyosoma; 1 ex. – Gyps africanus; 1 ex. – Haliaeetus albicilla; 2 ex. – Ictinia plumbea; 1 ex. – Pandion haliaetus; 1 ex. – Rupornis magnirostris; 1 ex. – Vultur gryphus] originating mainly from Argentina and Cuba as well from Africa and Hungary.
Leveraging Lean and Green Supply Chain Practices for Sustainable Supply Chain Performance: The Moderating Role of Environmental Orientation
Authors: Aladaileh Mohammad J. , Aladayleh Khaled J. , Lahuerta-Otero Eva , Cordero-Gutiérrez Rebeca 
Published: October 2024

Abstract
This study investigates the impact of lean and green supply chain practices on business process performance and sustainable supply chain performance. The research utilises the resource-based view (RBV) theory to construct a conceptual model wherein lean and green supply chain practices are employed to augment business processes and sustainable performance. Concurrently, dynamic capabilities theory is applied to signify an organisation’s capacity to adapt and evolve in response to internal and external pressures from customers and competitors. The conceptual model is validated using structural equation modelling with a sample of 170 supply chain practitioners from the apparel and textile supply chain in Jordan. Results indicate that lean practices exhibit no direct impact, whereas green practices significantly influence business process performance and indirectly affect sustainable supply chain performance. Business process performance does not mediate the relationship for lean practices, but it does so for green practices. Moreover, the environmental orientation of both competitors and customers negatively moderates the impact of green practices on business processes and sustainable supply chain performance. These findings contribute to existing literature and underscore the crucial role of green supply chain practices in enhancing sustainable supply chain performance in the apparel and textile industry.
Assessment of correlation between lipid ratios and body mass index in patients with type 2 diabetes mellitus in Sarajevo, Bosnia and Herzegovina
Authors: Plessis Carla Devantier-Du , Saric Nadina , Plessis Benjamin Devantier-Du , Zaciragic Asija 
Published: October 2024

Abstract

Objective. Studies that have evaluated correlation between body mass index (BMI) and novel lipid indices such as triglycerides (TG)/high-density lipoprotein-cholesterol (HDL-C), total cholesterol (TC)/HDL-C, and low-density lipoprotein cholesterol (LDL-C)/HDL-C in type 2 diabetes mellitus (T2DM) are scarce. Hence, the aim of the present study was to explore the correlation between BMI and novel lipid indices in Bosnian patients with T2DM.

Methods. Present study included 117 patients with T2DM (mean age: 66.51 years) and 68 controls (mean age: 68.37 years). BMI was calculated as weight/height². Lipids were measured by standard methods. TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C ratios were separately calculated. The differences between the groups were assessed by Student’s t-test or Man Whitney U test. Correlations were determined by Spearman’s test.

Results. In a total sample of T2DM patients, 41.0% were overweight and 44.4% were obese. In the control group, 51.5% of subjects were overweight and 25.0% were obese. In T2DM group, a significant correlation was observed between BMI and HDL-C, LDL-C, TG/HDL, TC/HDL-C, and LDL-C/HDL-C ratios. In the control group, there was a significant correlation found between BMI and HDL-C, TG, TG/HDL, TC/HDL-C, and LDL-C/HDL-C-ratios. Correlation between BMI and other lipid parameters in T2DM and the control group was not determined.

Conclusion. The present study showed significant correlation between BMI and novel lipid indices in both T2DM patients and the control group of subjects. Possible explanation for the observed results might be prevalence of overweight and obese participants in this study sample. Since novel lipid indices are used in the prediction of cardiometabolic risk, results obtained in the present study have valuable clinical implications.
The Perception of Time between Phenomenology and Gestalt Psychology: Edmund Husserl and Giovanni Bruno Vicario’s Perspectives
Authors: Ferro Floriana 
Published: October 2024

Abstract
This study examines Edmund Husserl’s and Giovanni Bruno Vicario’s perspectives on time. Husserl’s work focuses on consciousness and its processes of synthesis, thus on a transcendental concept of time. Vicario, a member of the Trieste Gestalt school of psychology, rather explores the issue through an experimental perspective. This difference leads Vicario to criticize Husserl, reinterpreting and, sometimes, misunderstanding his texts. Through a careful textual analysis of Husserl’s and Vicario’s works on time, it is argued that, despite methodological differences, their views can be integrated into a pluralistic understanding of time. This includes both phenomenological and psychological perspectives, and offers valid alternatives to a unified and physicalistic view of time.
The impact of professional networking and burnout on the organizational and professional commitment of human resources professionals
Authors: Barber Eric , Werner Jon M. 
Published: October 2024

Abstract
Research on burnout has not focused much attention on human resource (HR) professionals, who are often the link between managers and employees. HR professionals have become more integral in organizations’ strategies, processes and protocols. Burnout and lack of both professional and organizational commitment from this group of employees could be detrimental to organizations. This study examines the effects of professional networking and burnout on the organizational and professional commitment of HR professionals, as well as the potential moderating relationship of professional networking on the relationships between job burnout and organizational and professional commitment through professional networking channels such as LinkedIn forums, professional memberships in organizations like the Society for Human Resource Management (SHRM), or other HR support work groups. A positivist approach using Ordinary Least Squares (OLS) was utilized to examine these relationships, and burnout was significantly and negatively related to both professional and organizational commitment. Further, professional networking had a significant positive influence on the relationship between burnout and commitment, meaning that burnout had a less negative impact on commitment when networking was higher. The results provide insight into factors that assist HR professionals in lessening the effects of burnout, while also increasing organizational and professional commitment.
Performance evaluation of vehicular communication in terahertz band
Authors: Körpe Enis , Akkaş Mustafa Alper , Sokullu Radosveta 
Published: October 2024

Abstract
The Terahertz (THz) band is seen as one of the potentially essential technologies to meet the data throughput requirements of terabits per second (Tbits) in future networks. Considering vehicular communication in particular, the current vehicular communication technologies cannot cope with the rapidly increasing data traffic. To deliver increased capacity and data rate with reduced latency, new technologies and methodologies are therefore required. It is recognized that one possible technology to meet these needs is THz technology. Since the change in distance between vehicles due to their speed affects THz communication, channel modeling was carried out for single-lane and multi-lane vehicular communication scenarios in this study. The system’s performance was also examined. Performance metrics were determined as path loss, signal-to-noise ratio (SNR), capacity and bit error rate (BER). While performing these analyses, the absorption of THz waves is taken into account and the High-Resolution Transmission Molecular Absorption Database (HITRAN) was used to model it. As a result, the most appropriate circumstances for successful vehicular communication have been identified and studied.
Performance evaluation of symbol detection algorithms in massive MIMO communication systems
Authors: Kori Jyoti , Mahajan Alka , Mandloi Manish 
Published: October 2024

Abstract
Massive MIMO (mMIMO) is the essential technique for attaining the exponential increase in the data rate needed for future communication systems. These advancements have been significantly supported by progress in VLSI technology, which enables the integration of an enormous number of antennas and the complex signal processing essential for massive MIMO systems on a single chip. This work conducts a comprehensive analysis of the intricacy of seven matrix decomposition techniques for symbol detection in future mMIMO communication systems: ADMM-based infinity norm (ADMIN), Neumann series (NS), Newton iteration (NI), Jacobi iteration (Ja), improved Gauss-Seidel (IGS), conjugate gradient (CG), and QR decomposition (QR), against linear and near-optimal minimum mean square error (MMSE). QR, GS, Ja, and CG belong to linear algebraic methods based on matrix decomposition. MMSE and ADMIN are nonlinear optimization methods; NS and NI are iterative methods. The analysis examines into the complexity of these detection algorithms, considering the symbol error rate, the convergence rate, the initial solution vector, and the correlation factor. Performance evaluations are conducted on 8 and 16-user mMIMO systems with 64 and 128 base station antennas, modulation schemes (32-QAM and 64-QAM), iteration counts (p = 1, 2, 3, 4), correlation factors (α = 0.2, 0.4, and 0.6), and initial solution vectors (zero vector, D
−1 and W
2
−1
yMF
). The result clearly shows that if the initial solution and number of iterations are chosen properly, the IGS-based linear detector achieves near-optimal performance with a lower computational complexity of O(K
2) compared to the nonlinear MMSE-based detector with a computational complexity of O(K
3).
Theoretical design and implementation of equal and unequal split ultra-wide band Wilkinson power divider with Chebyshev impedance transform
Authors: Kasar Ömer 
Published: October 2024

Abstract
In this study, we designed multi-section UWB Wilkinson power dividers for both equal and unequal power divider. The key innovation is successfully matching these power dividers using the Chebyshev method. The proposed method achieves very low insertion losses and high transmission coefficients across the ports. For the three-section equal power divider, Chebyshev polynomials were used to model the reflection coefficient, and the characteristic impedance for each section was calculated symmetrically. The design achieved a fractional bandwidth of 106% for a 20 dB return loss, with an insertion loss of 0.3 dB. For unequal multi-section dividers, power division ratios of 1.5:1 and 2:1 were chosen. Theoretical microwave calculations were used to determine the input and output transmission line impedances. Chebyshev approximation was then applied to design the three-section unequal power dividers. The return losses for these unequal dividers were measured at 17 dB and 15 dB, with fractional bandwidths of 120% and 126%. Both circuits had insertion losses of 0.25 dB. The consistent results from analytical calculations, simulations, and measurements confirm the effectiveness of the Chebyshev method for both equal and unequal power division.
Comparative Study of Waste Management and Sampling Practices in Latvia and Estonia
Authors: Zemite L. , Backurs A. , Vonda K. , Batjuskovs S. , Cnubbern P. , Jansons L. 
Published: October 2024

Abstract
The study focuses on waste management and sampling practices carried out in two large Baltic cities: Riga (Latvia) and Tartu (Estonia). Even though waste collection schemes are not at the same centralisation level in the two municipalities, certain similarities can be observed in waste collection, management and sampling processes. Governed by provisions of Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste, general national waste treatment legislation, and the national waste management plans, waste management practices in Latvia and Estonia are moving towards minimalisation of waste landfilling and maximalisation of waste inclusion into various recycling practices (use in waste biodegradation cells, bioreactors, different waste recycling facilities, in developing modern waste management supporting infrastructure, etc.). Therefore, waste management in two countries can be partly characterised as a vital element of emerging circular economy activities aimed at minimising landfill deposition of waste, hence, a more effective and permanent approach to sustainable waste management problems, on the one hand, and maximising the diversified use of waste in different branches of economy, hence, larger economic and social benefits.
Advanced Maximum Power Point Tracking Technique for Photovoltaic Reverse Osmosis Systems
Authors: Mowafy A. G. E. M. I. , Steiks I. 
Published: October 2024

Abstract
The paper presents a novel control algorithm for a standalone Photovoltaic Reverse-Osmosis (PV-RO) system without a battery. It highlights the importance of tracking the maximum power tracking points in the photovoltaic panels. The development of new methods has become more urgent than before. The PV-RO system combines solar energy and reverse osmosis technology to provide reliable and sustainable access to clean drinking water in remote areas. Traditional PV-RO systems often require energy storage solutions such as batteries to maintain a constant water supply during periods of low solar irradiation. However, the integration of batteries adds complexity, cost, and environmental impact to the system. The paper presents the development of different MPPT techniques, which are better than traditional techniques (more accurate and faster). The paper also provides a comparison with the studied methods (P&O and Incremental Conductance) and the proposed one.