bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mentalities, classes and the four lines of conflict in the social-ecological transformation
Authors: Fritz Martin , Eversberg Dennis 
Published: December 2023

AbstractIn this article, we argue that current societal struggles about whether and how eco-social policy and politics should be implemented to tackle the interlinked challenges of climate change and inequality are an expression of the main societal conflict of our times: the social-ecological transformation conflict. We identify four lines of conflict in the social-ecological transformation and explore how they are related to classes and mentalities. In the theoretical part, we conceptualize classes in social space and mentalities through a Bourdieusian relational approach. We also discuss the location of the four lines of conflict in social space. In the empirical part, we analyze survey data from Germany. Firstly, we find eight mentalities among respondents reflecting their views on various eco-social topics. Secondly, we construct the social space with socio-economic variables for the economic and cultural capital of the respondents. Thirdly, we plot the mentalities in the social space. The results show that the cultural middle class is in favor of eco-social policy, while the upper class and the economic middle class prefer green growth and ecological modernization. The lower-class fractions are skeptical of any transformation because they distrust institutions and cannot bear the transformation costs.
Problems with universal metrics
Authors: Zhan Bo 
Published: December 2023

Abstract
This paper aims to examine the problem of universal metrics developed with English sonnets by analyzing meter in
Japanese haiku and Chinese recent-style verse.1 Following Martin (2007), In this study, a haiku is defined as a traditional form of Japanese poetry consisting of three lines,
typically with seventeen metrical units per verse arranged in a pattern of five, seven, and five units per line. The data reveals
that a system with metrical prominence cannot be applied to Chinese and Japanese metrical verse since linguistic prominence is
missing in both languages. The only common feature shared among the metrical systems of the three languages is the existence of a
contrast between two types of syllables that belong to opposite classes. However, this contrast only applies in limited situations
in the Japanese case. Lastly, instead of a universal metrical structure, the data suggests that the metrical structure in the
three languages should be distinguished.
Conformally symmetric wormhole solutions supported by non-commutative geometry in
f(Q,T)
gravity
Authors: Chalavadi Chaitra Chooda , Venkatesha V , Kavya N S , Rashmi S V Divya 
Published: December 2023

Abstract
This paper investigates wormhole solutions within the framework of extended symmetric teleparallel gravity, incorporating non-commutative geometry, and conformal symmetries. To achieve this, we examine the linear wormhole model with anisotropic fluid under Gaussian and Lorentzian distributions. The primary objective is to derive wormhole solutions while considering the influence of the shape function on model parameters under Gaussian and Lorentzian distributions. The resulting shape function satisfies all the necessary conditions for a traversable wormhole. Furthermore, we analyze the characteristics of the energy conditions and provide a detailed graphical discussion of the matter contents via energy conditions. Additionally, we explore the effect of anisotropy under Gaussian and Lorentzian distributions. Finally, we present our conclusions based on the obtained results.
Study and characterization of L–arginine halides (HCl/HBr)
Authors: Sukiasyan R P , Danghyan A A , Apreyan R A , Atanesyan A K 
Published: December 2023

Abstract
The systems of L-arginine with halogen acids (hydrochloric and hydrobromic) in water solvent under the influence of acoustic waves and without them were investigated in this study. Nine compounds were obtained and identified: (I) L-arginine hydrobromide, (II) L-arginine hydrochloride (space group P1), (III) L-arginine hydrobromide, (IV) L-arginine hydrochloride (sp. gr. P21), (V) L-arginine hydrobromide monohydrate (sp. gr. P21), (VI) L-arginine hydrochloride monohydrate (sp. gr. P21), (VII) L-arginine dihydrobromide monohydrate (sp. gr. P1), (VIII) L-arginine dihydrochloride monohydrate (sp. gr. P212121) and (IX) L-arginine dihydrochloride (sp. gr. P21), of which (I), (III) and (IX) crystals were obtained and studied for the first time. The conditions for the formation of all the compounds were described. The FT-IR ATR spectra of obtained crystals were presented and compared. Based on the IR spectra, it can be assumed that the crystals of (II) and (I) are isostructural, the same for (IV) and (III). The crystal and molecular structure of L-arginine dihydrochloride (sp. gr. P21) was studied by X-ray diffraction method. Thermal and other properties were investigated. The efficiency of the second harmonic generation of all the crystals was measured and compared with that of the KDP.
X-ray study of structural changes in “di-(2-ethylhexyl) sulfosuccinic acid (AOT) /n-heptane-water” liquid crystalline system depending on the concentration of components
Authors: Sargsyan A G , Grigoryan S M 
Published: December 2023

Abstract
Structural changes in the “sodium salt of di-(2-ethylhexyl)sulfosuccinic acid (AOT) - n-heptane-water” liquid-crystalline system depending on the AOT concentration in the n-heptane-water mixed solvent were studied using the X-ray diffraction method. The studies were carried out in a wide range of the AOT concentrations from 27 to 92% in a mixed solvent n-heptane/water=5.8 ratio.The mesomorphism of a liquid-crystalline system is on the concentration of the system. It is confirmed that at concentrations the AOT above 50%, a liquid crystal structure with an intradomain "flat" liquid crystal layered phase takes place. A “flat” lamellar lyotropic-liquid-crystalline phase with an intradomain lamellar structure is formed in the system. The structural parameters, the compactness of the liquid crystal system, the thickness of the formed layers, the surface area per molecular head on the surface of the layers depending on the concentration and thickness of the bound water layer are revealed. The liquid crystal system under study can serve as a model for studying various problems of biological membranes.
Features of operation and calculation of the light modulator-demodulator (modem) on electro-optical crystals
Authors: Hayrapetyan Y , Hunanyan H 
Published: December 2023

Abstract
In order to determine the size of the resonator of the light modulator in the microwave range, options for calculating resonators by existing methods are considered and evaluated. An empirical formula for calculating resonators is proposed, which gives very close results with actually working resonators. The question of evaluating the Q-factor of the modulator is also considered. It is proposed to introduce a coefficient that also takes into account the quality of the resonator processing in order to more accurately determine the Q-factor of the light modulator.
Design and Implementation of Power Big Data Platform
Authors: Zhao Zongluo , Li Qiangqiang , Zhao Zhixin , Zhang Haida , Han Qianqian , Ju Xiaoming 
Published: December 2023

Abstract
In recent years, with the advancement of the national construction of smart grid and the development of power grid enterprise integration system, the traditional power data platform has some defect, such as insufficient scalability, repeated implementation of two sets of logic of off-line data warehouse and real-time data warehouse, highly correlated storage of data warehouse during computation, and difficulty in platform migration, which restrict the deeper mining and analysis of power big data. Therefore, this paper adopts a technical architecture incorporating distributed calculating, micro-service, flow-batch integration and lake-warehouse integration, combining the current popular Web front-end and back-end technologies such as Vue, SpringCloud and Flask, and utilizing big data components such as Hadoop, Flink, Hudi and Kafka as well as Docker containerization technology. We explore and build a power grid system operation oriented big data platform that assembles real-time computing, multi-source heterogeneous data storage, and develop APIs for authority management, information management, data analysis and visualization, machine learning and other data supporting services that assist power enterprises in managing electrical equipment and users’ power consumption.With the help of this platform, power enterprises can intelligently track the equipment status, view the offline and real-time visual charts to analyze the power consumption by users, so as to have better basis in the power dispatching, maintenance and scheme adjustment of electrical market.
Fault Status Monitoring of Power Metering and Detection Equipment Based on BiLSTM
Authors: Yao Zhicong , Zhao Binghui , Zhang Ke , Pan Wei 
Published: December 2023

Abstract
The power metering and detection equipment is a device used to measure the power consumption of users and energy loss of power lines. It is of great significance to timely identify and handle operational anomalies of electric power metering and detection equipment to ensure stable and reliable operation of the metering device. In response to the problems of low accuracy and poor robustness in existing fault diagnosis methods for electric power metering and detection equipment, this paper proposes an intelligent fault diagnosis method based on deep learning. The paper combines the characteristics of convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) in extracting local and global features, and combines them with self-attention (SA) mechanism to propose a hybrid network model SA-CNN-BiLSTM for monitoring the status of electric power metering and detection equipment. This model first extracts local information through the CNN network. At the same time, BiLSTM can extract global features, and then the feature fusion layer combines these two different features. Then, the self-attention mechanism weight adjustment layer is used to calculate and adjust the weights of the fused feature vectors. Finally, the fused feature vectors are input into the fully connected layer, and fault classification predictions are obtained through a softmax classifier. System experiments have demonstrated the correctness and effectiveness of this method.
Machine learning-based fault diagnosis for high-voltage transmission lines
Authors: Sheng Zunhua , Zhang Kai 
Published: December 2023

Abstract
In order to comply with the speed and diversification process of human economic and technological development, the power system gradually develops in the direction of intelligence and complexity, and it is urgent to combine transmission line fault diagnosis methods with machine learning pattern recognition problems in order to reflect the representative characteristics of transmission lines under different operating conditions and different operation modes. In this paper, a convolutional neural network (CNN) model is established for transmission line fault diagnosis, and a series of parameters such as weights, bias, learning rate, batch size and loss function of the proposed CNN model are debugged through experimental comparison, and the best CNN model structure is determined through experimental comparison and debugging, and the recognition accuracy is higher than other traditional machine learning algorithms, which can be as high as 98.38%, with validity, practicality and advancedness.
Trade-offs between forest carbon sinks and multidimensional forest values: from assessment to management strategies
Authors: Sun Ziliang , Zhou Yu 
Published: December 2023

Abstract
Forests are one of the subjects that can effectively mitigate climate change and are important for achieving carbon sequestration. In order to determine the maximum carbon sequestration of forests and the optimal management mode, this paper selected several indicators related to forest carbon sequestration and determined the main influencing indicators and mechanisms through regression significance analysis, and concluded that the selection of forest age and harvesting intensity have an important influence on the carbon sequestration effect and sustainability of forests. Based on the above analysis, we constructed a model of logging intensity and forest carbon sequestration, and brought in the forest data of each province to arrive at the optimal logging intensity of 23%-30%. Second, in order to determine the optimal comprehensive benefits of forests, this paper extends the model to consider forest values in more dimensions and determine the corresponding indicators, and uses the entropy weight method to determine their contribution rates to construct a comprehensive forest evaluation model. Using this model, this study measures and analyzes the Changbai Mountain forest area and Hainan forest area, and then derives the corresponding forest management strategies to maximize their comprehensive benefits.
Intelligent Decision Support System for Building Project Management Based on Artificial Intelligence
Authors: Wang Jianqiao 
Published: December 2023

Abstract
With the deepening of research on artificial intelligence (AI) technology in the field of computer science and the improvement of its social influence, the effective combination of AI technology and engineering project management practice has become a hot topic of discussion in the field of engineering project management. In the application research of AI in engineering project management, most of them use data-driven models to solve project management problems, improve data insight and improve the speed and quality of project management decision-making. Decision support systems have been developed on the basis of management information systems, but they have rarely been successfully applied in project management. The decision support system based on data warehouse is a new level of development in decision support systems, providing an effective way for projects to achieve real-time decision-making, thereby achieving synchronous, integrated, and optimized dynamic management of project progress, cost and function, and improving the timeliness and scientificity of decision-making. Therefore, this article proposes the theoretical framework and architecture of a construction project decision support system based on data warehousing. Then, this article proposes a deep belief network (DBN) evaluation method to evaluate the performance of the system, and the results show that the proposed method has superior performance.
A Rapid Earthquake Disaster Assessment Platform Based on Cloud Computing
Authors: Chen Ailin , Hu Bin , Yang Li , Zhang Xian , Luo Yong 
Published: December 2023

Abstract
In the past few decades, earthquakes have been a major cause of casualties and economic losses. The rapid assessment system for earthquake disasters plays an important role in earthquake prevention, disaster reduction, and emergency command by calculating the economic losses and casualties caused by earthquakes in a relatively short time after the occurrence of an earthquake. Although there are now many rapid assessment systems for earthquake disasters, most of them adopt C/S and B/S architectures, which have limited computational efficiency during large-scale earthquakes. Based on these factors, this study aims to build a cloud computing-based rapid assessment system for earthquake disasters. The main modules of the system include intensity impact field calculation, building damage assessment, economic loss assessment, casualties assessment, and model parameter calibration. The results show that the system significantly speeds up the calculation process and shortens the assessment time. It can provide timely disaster assessment information to relevant departments in a short period and provide technical support for emergency decision-making.
Cryogenic charge readout electronics for the ProtoDUNE-II program and DUNE
Authors: Huang Roger ,   the DUNE collaboration
Published: December 2023

Abstract
The upcoming ProtoDUNE-II program at the CERN Neutrino Platform will consist of 2 liquid argon time projection chambers, which will serve as demonstrators of the technologies that will be used in the first 2 far detectors of the Deep Underground Neutrino Experiment (DUNE). A core component of these detectors is the cryogenic charge readout electronics, which are immersed in liquid argon along with the detectors and are responsible for reading out charge signals from the anodes of the time projection chambers. We discuss the design of these electronics and preliminary performance results from the ProtoDUNE-II assembly experience.
Transposed Poisson structures on solvable and perfect Lie algebras
Authors: Kaygorodov Ivan , Khudoyberdiyev Abror 
Published: December 2023

AbstractWe described all transposed Poisson algebra structures on oscillator Lie algebras, i.e. on one-dimensional solvable extensions of the(2n+1)-dimensional Heisenberg algebra; on solvable Lie algebras with naturally graded filiform nilpotent radical; on(n+1)-dimensional solvable extensions of the(2n+1)-dimensional Heisenberg algebra; and onn-dimensional solvable extensions of then-dimensional algebra with trivial multiplication. We also answered one question on transposed Poisson algebras early posted in a paper by Beites, Ferreira and Kaygorodov. Namely, we found that the semidirect product ofsl2and irreducible module gives a finite-dimensional Lie algebra with non-trivial12-derivations, but without non-trivial transposed Poisson structures.
Chemical characteristics of red swimming crab (Thalamita spinimana) in Dompak Waters, Tanjungpinang City
Authors: Oktavia Y , Muzammil W 
Published: December 2023

Abstract
Red swimming crab (Thalamita spinimana) is one of the fishery commodities caught by fishermen in Senggarang Village, Tanjungpinang City. Dompak Waters is one of the red swimming crab fishing ground for Senggarang fishermen. Utilization of red swimming crab have not used optimally as raw material for food and industry. This study aimed to determine the nutritional composition, fatty acids, amino acids, and heavy metals in red swimming crab. The sample used is fresh red swimming crab meat contained in the carapace and claws. The results showed that the nutritional composition of fresh red swimming crab meat contained 81.13% moister, 15.48% protein, 0.59% fat, 2.14% ash, 0.67% carbohydrate, and 0.53% crude fiber content. The highest amino acid content in red swimming crab is glutamic acid at 16,043.78 mg/kg. Red swimming crab has 0.38% unsaturated fatty acids and 0.20% saturated fatty acids. Heavy metals Hg, Pb, and Sn contained in red swimming crab are still below the based on Indonesian National Standard for heavy metal maximum threshold contained in food. Red swimming crab caught by fishermen in Senggarang Village from Dompak Waters fishing ground area are safe to use as food and nutritious raw materials.
Use of sea urchin (Diadema setosum) shells as antibacterial
Authors: Saputra E , Pujiastuti D Y , Abdillah A A 
Published: December 2023

Abstract
Sea urchin (Diadema setosum) is one type of aquatic biota originating from the echinoderm phylum whose distribution is seen in almost all waters. The toxin produced by sea urchins can be used in various fields, one of which is a potential treatment as antibacterial because it contains bioactive compounds. Staphylococcus aureus (S. aureus) is a small portion of microorganisms that live in the oral cavity that can cause disease.
Morphology of Female Tilapia (Oreochromis sp.) Broodstock at Hatchery Centers in South Sulawesi
Authors: Amrullah  , Ardiansyah  , Dahlia  , Wahidah  , Dwinhoven I 
Published: December 2023

Abstract
This study aimed to evaluate the morphology of female tilapia (Oreochromis sp.) broodstock used in 3 hatcheries in South Sulawesi. A total of 92 female tilapia broodstock were collected from 3 hatcheries in South Sulawesi: Gowa Regency (30 fish), Bantaeng (30 fish), and Soppeng (32 fish). Morphological measurements were taken using a ruler on eight characters including the TL, SL, HL, SnL, CPL, BH, CPH and HH. Comparison of values among morphometric characters SL, HL, SnL, CPL, BH, CPH, and HH to TL was analyzed for variance (Anova) and continued with Duncan’s comparison test. The results of the analysis showed that the SL/TL characters were not significantly different (P > 0.05) between hatchery locations, while the HL/TL, SnL/TL, CPL/TL, BH/TL, CPH/TL, and HH/TL characters were significantly different (P < 0.05) between locations. Most of the morphological characters in female broodstock originating from Gowa and Soppeng contributed greatly to the formation of the first main axis (F1), while the rest were scattered on the second (F2) and third (F3) axes These results indicate that, in general, in terms of morphometric variations, the female broodstock at the three tilapia hatcheries have different morphometric characteristics.
Iodine content and acceptability of seaweed flour from various types of seaweed, drying methods, and types of fishy odor removal
Authors: Retiaty F , Nurjanah N 
Published: December 2023

AbstractThis study aimed to develop seaweed flour from various types of seaweed (Euchemma cottonii, Gracillaria verrucosa) with various drying methods (sun, vacuum oven, cabinet drying, drum drying) and types of fishy odor removal [solution of Ca(OH)2and lime each 5%, 0.25% star anise, 0.33% clove powder], analyze iodine content and acceptability. Iodine content and acceptability were analyzed by ICP-OES and multiple comparison test, respectively. The results showed that the types of fishy odor removal significantly affected the organoleptic acceptance of seaweed flour with the best acceptance being 5% Ca(OH)2solution (p<0.05). Iodine content between drying methods and types of seaweed was significantly different (p<0,05). Seaweed flour with drum drying significantly had the highest iodine content, 89.96 (Euchemma cottonii) and 564.15 mg/kg dw (Gracillaria verrucose). Seaweed flour fromGracillaria verrucosahad significantly higher iodine content thanEuchemma cottonii, 205.26 and 41.58 mg/kg dw, respectively (p<0.05). The study concluded that types of fishy odor removal with the best panelist acceptance, types of seaweed, and drying methods that produce seaweed flour with the highest iodine are 5% Ca(OH)2 solution,Gracillaria verrucosaand drum drying, respectively. Seaweed flour had the potential as an ingredient in the development of nutrient-rich products, especially iodine.
Effectiveness of cultivation Chaetoceros calcitrans with liquid organic fertilizer Gracilaria sp. against growth rate and nutritional content of Artemia sp.
Authors: Kusuma R N , Alamsjah M A , Agustono  
Published: December 2023

Abstract
This research aims to determine the effectiveness of the cultivation of Chaetoceros calcitrans with liquid organic fertilizer Gracilaria sp. on the growth rate and nutritional content of Artemia sp. This research used a completely randomized design (CRD) consisting of 5 treatments, namely P0 (pro analysis fertilizer 16 mg/ml), P1 (liquid organic fertilizer Gracilaria sp. 8 mg/ml), P2 (liquid organic fertilizer Gracilaria sp. 16 mg/ml), P3 (liquid organic fertilizer Gracilaria sp. 24 mg/ml), P4 (liquid organic fertilizer Gracilaria sp. 32 mg/ml) with 4 replications each. The data statistically analyzed using ANOVAvtest and continued with Duncan’s Multiple Range Test to determine the effective dose as feed for Artemia sp. Furthermore, the research was carried out using the Independent Sample T-Test test which consisted of 2 treatments, namely P0 and P1 with 3 replications each. The results showed that the use of liquid organic fertilizer Gracilaria sp. on the cultivation of Chaetoceros calcitrans did not give a significant difference (p≥0.05) to the growth rate of length and weight in Artemia sp. Proximate analysis of Artemia sp. Chaetoceros calcitrans feed with liquid organic fertilizer Gracilaria sp. the results obtained are 53.62% protein, 14.07% carbohydrate, and 25.9% fat.