bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting scoring trends in basketball games based on multivariate time series analysis
Authors: Zheng Lei , Ma Liang , Jia Zhiqiang 
Published: December 2023

Abstract
In this paper, we first study the evaluation framework of Granger causality between time series. Then, the multivariate time series prediction model is constructed based on transfer entropy and graph attention network. The multivariate time series prediction model architecture has causal branches with transfer entropy, and the prediction module is executed using graph attention network. Finally, the accuracy of basketball game score prediction is analyzed, as well as comparing the accuracy of the multivariate time series prediction model with other models. The number of offensive rounds in basketball games can be predicted with a high accuracy of 67.94% using the multivariate time series prediction model. For the prediction of the scoring trend of player rotation, the ABHJI combination rotating on the court is the most efficient in scoring, and the average value of scoring is as high as 85.463. The average accuracy of the TSP reaches 72.2%, and the model has high feasibility and is suitable for scoring prediction in basketball games.
Modern Clothing Design and Clothing Culture Communication Strategy Based on the Classical Network Model
Authors: He Liudan 
Published: December 2023

Abstract
At present, with the strengthening of China’s economic and cultural strength, “Chinese culture” is widely sought after. Therefore, incorporating cultural elements into clothing design can promote the spread of Chinese clothing culture. This paper proposes a classical network model based on the Internet’s background. A modal communication model of the culturalization process is built on this basis to combine the Internet and the network model. The survey and analysis of the effects of clothing culture on comfort and aesthetics of clothing design are being conducted. Consumers have a positive and active attitude towards clothing culture, with 3625 out of 7563 sample comments supporting the communication of clothing culture in the communication effect. The comfort of clothing is a top priority for 139 people when it comes to clothing design. Therefore, the aspect of comfort should be emphasized in clothing design, and the dissemination of clothing culture should be strengthened at the same time.
A Study on the Psychological State of Ideal View of College Students based on Multivariate Data Analysis
Authors: Wang Changhe 
Published: December 2023

Abstract
The construction of an ideal view is crucial for the personal growth of college students. The way they perceive the dialectical relationship between individuals and society and how they strive to realize the value of life is determined by it. This study focuses on college students as the survey subject and designs a questionnaire around their ideal beliefs. Analyzing the current pattern of ideal belief construction among college students is the goal. The current reality, factors that influence the construction of ideal views, and existing problems are analyzed in detail using statistical data from the questionnaire. It also proposes feasible methods to encourage the creation of ideal views among college students. Optimizing college education content, cultivating a creative spirit, and reforming family education are some of the strategies that are included in these strategies.
Research on new energy grid-connected load monitoring method based on the network analysis method
Authors: Wang Qing , Li Guimin , Chen Zhiru , Jing Zhen 
Published: December 2023

Abstract
The steady-state characteristic parameters of the loads are used to identify new energy grid-connected loads using an event-based network analysis method in this paper. The analysis of interdependence among elements is done by studying the element layer and special structure of the network analysis method. Using the principle of limit relative ranking vector calculation, the supermatrix and weighting matrix of the ANP element layer are constructed, and the basic steps of ANP model weights are determined. The ANP-based load monitoring algorithm is evaluated by combining the load identification accuracy with the F-value. The results show that event detection algorithms are generally more than 70% accurate. 17 out of 18 times of identifying load events of computers can be correctly identified with an accuracy rate of 89.37%, 9 out of 10 times of identifying fluorescent lamps with an accuracy rate of 89.98%, and 14 out of 15 times of identifying microwave ovens with an accuracy rate of 92.75%. The new energy grid-connected load can also be detected by combining the harmonic content rate. The harmonic content rates when the desktop computer was turned on were 93.04%, 86.67%, 60.16%, 61.76%, and 23.46%, respectively. This study helps to improve the accuracy of new energy grid-connected load monitoring.
ReliefF-RF model application in communication security risk detection of distribution network
Authors: Zhang Jing , Ma Yong , Lu Yu , Wang Jun 
Published: December 2023

Abstract
The construction of an intelligent power grid system has promoted innovation and development in the power grid industry, but the distribution network covers a wide range and has more access data, and the network attack risk is the focus of attention. In this regard, the stochastic forest model is introduced to build the distribution network risk detection model based on the software-defined network. The first is to study the power grid system based on a software-defined network, realize the analysis and extraction of the characteristics of abnormal power grid engineering data, and realize the diagnosis of risk data through a random forest model. At the same time, considering the long modeling time of the random forest model and the low classification accuracy in unbalanced samples, the feature selection model is introduced to optimize the random forest model, and the sampling weight function is set to improve the insufficient sampling accuracy of random forest model in small samples. The model classification effect is evaluated during the model performance test. The proposed model is the most accurate of the three data sets. In the three data classification tests of Satimage, Senbased, and Cleveland, the accuracy of MICRO Average is respectively 0.886, 0.986 and 0.856. At the same time, the proposed model is superior to other models in terms of training time and variance stability test. When the data set is 18000, the model accuracy is 0.968, which is better than the other two models. The research content has important reference value for maintaining communication security and improving system stability in distribution networks.
Distributed Power Grid Connected Panoramic Perception Technology Based on Digital Twin Model
Authors: Li Guimin , Wang Qing , Chen Zhiru , Jing Zhen , Zhang Zhi 
Published: December 2023

Abstract
To address the issue that large-scale distributed Proton-exchange membrane fuel cell grid-connected operation status is difficult to effectively monitor, this study carried out clustering screening of Proton-exchange membrane fuel cell grid connected status variables. The digital twin model of the Proton-exchange membrane fuel cell group grid connection is established by using key important variables, and the digital model accurately reflects the real-time operation status of the Proton-exchange membrane fuel cell. Then, it predicts the operation status of the Proton-exchange membrane fuel cell. The experiment showcases that the optimal accuracy of fuzzy C-means clustering algorithm, K-means clustering algorithm and fuzzy C-means clustering algorithm in view of the objective function for clustering screening of grid-connected state quantity of Proton-exchange membrane fuel cell is 0.74, 0.65 and 0.59 respectively; The optimal recall rates are 0.84, 0.76, and 0.68, respectively; The optimal F-measure values are 0.78, 0.70, and 0.64, respectively. Among the three clustering analysis algorithms, the fuzzy C-means clustering algorithm, in view of the objective function, has the shortest running time and the least memory consumption. The monitoring results are basically consistent with the actual situation, indicating that this design method can complete the task of monitoring the operating status of distributed power grid-connected equipment. This study’s proposed method is more accurate than conventional methods and is better suited for monitoring the grid connection status of distributed power systems.
The Relationship between Structural Upgrading and Economic Growth of Sports Industry Based on AD-AS Modeling
Authors: Wang Baixiang 
Published: December 2023

Abstract
This paper determines the structural upgrading measurement indexes of the sports industry by analyzing the metrics from three perspectives: industrial structure advancement, rationalization, and coordination. With reference to the AD-AS model in economics, it introduces the positive exchange factor to improve the comprehensive supply model, utilizes the pressure factor and the negative exchange factor to improve the comprehensive supply-demand model, and obtains the improved SAD-SAS model. Based on the equilibrium relationship between aggregate supply and aggregate demand, five hypotheses regarding influence are proposed. The results show that the output growth rate fluctuation coefficient of the sports industry is 0.25-0.45, and the time, robust, and spatial elasticity economic growth volume shows a stable incremental curve with the incremental increase of time, which illustrates that the structural upgrading of the sports industry and the economic growth is a positive effect significant relationship.
Mixed-use and Street Network Attributes of Vibrant Urban Settings
Authors: Kashef Mohamad 
Published: December 2023

Abstract
This study examines two crucial interlinked physical planning and design aspects with potential impact on pedestrian flow in urban settings. Mixed land uses and gridded/interconnected streets are invariably characterised in the urban design literature as the essence of vibrant cities and lively street environments. The study develops a critical approach that investigates some of the most popular algorithms utilised in assessing mixed-use characteristics and their impact on pedestrian movement. “Entropy,” “LUM,” and “dissimilarity” indices are critically evaluated in terms of their reliability in predicting pedestrian travel patterns. The study also examines street network measurement indices and spatial analysis tools that enhance urban vitality and aid in the design and development of active street environments. It bridges the gap between disparate approaches aiming at understanding and prescribing the built environment attributes that enhance urban vitality. The theoretical quest of this study provides a robust foundation for future case study research on the built environment.
Transitioning to Decentralized Renewable Energy in Latvia: A Comprehensive Payback Analysis
Authors: Gicevskis K. , Linkevics O. , Karlsons K. 
Published: December 2023

Abstract
It is believed that the transition to renewable decentralized energy supply solutions (e.g., solar panels, storage of electricity in batteries) will help promote the decarbonization of the energy system. At the same time, it is expected to happen only when society is convinced of the environmental benefits and when there are enough economic incentives for it. This study analyses the economic feasibility of transitioning to decentralized renewable energy solutions, including solar panels and electricity storage, in Latvia. Our research explores potential savings of these solutions under various scenarios based on different factors, such as national NETO billing system, financial support scheme, electricity pricing, distribution network tariffs, energy storage options, as well as the impact of the battery energy storage system (BESS) discharging strategy. The results show that the potential savings can vary depending on these factors that are changing over time. Nevertheless, the rise in small-scale power generation at households shows that there is an increasingly rapid transition from centralized electricity supply to a decentralized supply system, which might indicate that society supports energy transition.
Selective Patterned Growth of ZnO Nanoneedle Arrays
Authors: Mihailova I. , Krasovska M. , Sledevskis E. , Gerbreders V. , Mizers V. , Bulanovs A. , Ogurcovs A. 
Published: December 2023

Abstract
Nanostructured coatings are widely used to improve the sensitivity of various types of sensors by increasing the active surface area compared to smooth films. However, for certain applications (in some cases), it may be necessary to achieve selectivity in the coating process to ensure that nanostructures only form in specific areas leaving interelectrode spaces free of nanostructures. This article discusses several methods for creating intricate ZnO nanostructured patterns, including area selective application of Zn acetate seeds followed by hydrothermal growth, selective thermal decomposition of zinc acetate via laser irradiation followed by hydrothermal growth, and the electrochemical deposition method. These methods enable ZnO nanostructures to grow onto designated surface areas with customised, patterned shapes, and they are rapid, cost-effective, and environmentally benign.
The article examines the process of producing a nanostructured coating with a complex shape and discusses several factors that can impact the quality of the final product. These include the influence of the thermocapillary flows and the “coffee stain” effect on the deposition of a seed layer of zinc oxide from an ethanol solution of zinc acetate. Additionally, the study found that using a protective screen during the growth of nanostructures can reduce the occurrence of unintended parasitic structures in areas lacking a seed layer. Overall, the article presents various techniques and strategies to improve the quality of nanostructured coatings.
We have proven that the use of laser radiation to create a seed layer does not impact the final morphology of the resulting nanostructures. However, when combined with computer-controlled technology, this approach allows for the creation of intricate patterns made up of micrometre-sized lines which cannot be achieved by using other methods.
The article also demonstrates an electrochemical technique for obtaining zinc oxide nano-structures that can selectively coat metal electrodes without requiring a seed layer.
Non-Enzymatic Co3O4 Nanostructure-Based Electrochemical Sensor for H2O2 Detection
Authors: Mizers V. , Gerbreders V. , Krasovska M. , Sledevskis E. , Mihailova I. , Ogurcovs A. , Bulanovs A. , Gerbreders A. 
Published: December 2023

Abstract
This article describes the synthesis of nanostructured cobalt oxide on iron wires and its application for the detection of hydrogen peroxide as working electrode for non-enzymatic electrochemical sensor. Cobalt oxide was obtained by the hydrothermal synthesis method using chloride and acetate anions. The resulting nanostructured coating obtained from the chloride precursor is a uniform homogeneous porous network of long nanofibers assembled into regular honeyсomb-like formations. In the case of an acetate precursor, instead of nanofibers, petal-like nanostructures assembled into honeycomb agglomerates are observed. The structure, surface, and composition of the obtained samples were studied using field-emission scanning electron microscopy along with energy-dispersive spectroscopy and X-ray diffractometry.
The resultant nanostructured specimens were utilized to detect H2O2 electrochemically through cyclic voltammetry, differential pulse voltammetry, and i-t measurements. A comparative research has demonstrated that the nanostructures produced from the chloride precursor exhibit greater sensitivity to H2O2 and have a more appropriate morphology for designing a nanostructured sensor. A substantial linear correlation between the peak current and H2O2 concentration within the 20 to 1300 μM range was established. The Co3O4 electrode obtained exhibits a sensitivity of 505.11 μA·mM−1, and the electroactive surface area is calculated to be 4.684 cm2. Assuming a signal-to-noise ratio of 3, the calculated limit of detection is 1.05 μM. According to the interference study, the prevalent interfering agents, such as ascorbic acid, uric acid, NaCl, and glucose, do not influence the electrochemical reaction. The obtained results confirm that this sensor is suitable for working with complex analytes.The actual sample assessment demonstrated a recovery rate exceeding 95 %.
Gas Distribution System of Latvia and its Transitional Challenges
Authors: Jansons L. , Bode I. , Koposovs A. , Zeltins N. , Lapuke S. 
Published: December 2023

Abstract
The future of the European Union’s (EU) gas sector and gas distribution systems in particular is under review as a necessity to move away from conventional natural gas is strictly outlined in its strategical energy framework. The main questions of future gas sector layout are largely related to gas decarbonization paths – whether they will include simultaneous transportation, distribution and storage of methane-based and non-methane based renewable gases or not. In general, this question is left for different Member States to decide, because as alternatives to it there are two options – decommissioning of all gas distribution and partially gas transportation and storage systems on the one hand and total replacement of existing gas transportation system with brand new hydrogen transportation and distribution system on the other. The first option leaves only liquified renewable gases (including, hydrogen) that are transported via truck and the second – pipeline transportation and distribution only for hydrogen, limiting methane-based renewable gases to road transportation solutions only.
The Latvian gas distribution system is also facing imminent transformation in foreseeable future; thus, at the moment its sustainability priority is the maintenance of the existing system in a safe and secure manner by improving it in accordance with technical necessities and immediate customer requests. The current research shows two sides of gas distribution system priorities in Latvia – its maintenance and development trends prior to fundamental transformations of gaseous fuel transition and general transitional challenges laying ahead.
Investigation of additive manufactured micro-lattice structures for defence applications
Authors: Shaik Ameer Malik , Reddy Bobbili Veera Siva , Sastry C. Chandrasekhara , Krishnaiah J. , Ramakrishna B. 
Published: December 2023

Abstract
This study investigates the blast mitigation capabilities of A286 steel micro-lattice structures produced through additive manufacturing. The research explores the effects of different manufacturing conditions, such as stress relief and heat treatment, on the mechanical properties and blast resistance of honeycomb and gyroid lattice structures in correlation with armour steel structures. Comprehensive evaluations, including surface morphology, corrosion resistance, and compressive residual stress analysis, reveal notable findings for micro-lattice structures. Micro-lattice structures demonstrated 57.23% higher corrosion resistance compared to conventional materials, presently available in the form of rolled homogeneous armour, medium hardness armour, and high-nitrogen steel. Additionally, honeycomb lattice structures exhibit compressive residual stresses of up to 581.90 MPa, providing significant advantages in blast mitigation potential. These results underscore the significance of lattice geometry, material microstructure, and residual stress in enhancing blast resistance. The research offers valuable insights into optimizing additive manufactured structures as an alternative modular solution for defence applications.
Carbon Pricing in Finland: Balancing policy goals
Authors: Paukku Eelis 
Published: December 2023

Abstract
This study discusses the role and development of carbon pricing via taxation by using Finland as a case example of several issues with carbon taxation. Carbon taxation and carbon pricing face some major problems, mainly competitiveness and social issues. Although Finland was one of the first countries to adopt carbon-based energy taxation, these problems shaped the tax system in a way that could even be described as “avoiding carbon pricing”. This study provides new insights on how to develop carbon taxation and how to overcome major problems related to commonly known problems with carbon pricing.
Dosimetric comparison of postoperative interstitial high-dose-rate brachytherapy and modern external beam radiotherapy modalities in tongue and floor of the mouth tumours in terms of doses to critical organs
Authors: Ferenczi Örs , Major Tibor , Fröhlich Georgina , Béla Dalma , Tódor Szabolcs , Polgár Csaba , Akiyama Hironori , Bukovszky Botond , Takácsi-Nagy Zoltán 
Published: December 2023

Abstract

Background
The aim of the study was to dosimetrically compare interstitial high-dose-rate (HDR) brachytherapy (BT) and modern external beam radiotherapy modalities, as volumetric modulated arc therapy (VMAT) and stereotactic radiotherapy with Cyberknife (CK) of tumours of the tongue and floor of the mouth in terms of dose to the critical organs.

Patients and methods
In National Institute of Oncology, Budapest, between March 2013 and August 2022 twenty patients (11 male/9 female) with stage T1–3N0M0 tongue (n = 14) and floor of mouth (n = 6) tumours received postoperative radiotherapy because of close/positive surgical margin and/or lymphovascular and/or perineural invasion. High-dose-rate interstitial brachytherapy applying flexible plastic catheters with a total dose of 15 × 3 Gy was used for treatment. In addition to BT plans VMAT and stereotactic CK plans were also made in all cases, using the same fractionation scheme and dose prescription. As for the organs at risk, the doses to the mandible, the ipsilateral and the contralateral salivary glands were compared.

Results
The mean volume of the planning target volume (PTV) was 12.5 cm3, 26.5 cm3 and 17.5 cm3 in BT, VMAT and CK techniques, respectively, due to different safety margin protocols. The dose to the mandible was the most favourable with BT, as for the salivary glands (parotid and submandibular) the CK technique resulted in the lowest dose. The highest dose to the critical organs was observed with the VMAT technique. The mean values of D2cm3 and D0.1cm3 for the critical organs were as follows for BT, VMAT and CK plans: 47.4% and 73.9%, 92.2% and 101.8%, 68.4% and 92.3% for the mandible, 4.8% and 6.7%, 7.3% and 13.8%, 2.3% and 5.1% for the ipsilateral parotid gland, 3.5% and 4.9%, 6.8% and 10.9%, 1.5% and 3.3% for the contralateral parotid gland, 7.3% and 9.4%, 9.0% and 14.3%, 3.6% and 5.6% for the contralateral submandibular gland.

Conclusions
The present results confirm that BT, despite being an invasive technique, is dosimetrically clearly beneficial in the treatment of oral cavity tumours and is a modality worth considering when applying radiotherapy, not only as definitive treatment, but also postoperatively. The use of the CK in the head and neck region requires further investigation.