bluuebunny/crossref_metadata_2025 huggingface dataset:
Tara bandu: On the hybridization of a sign
Authors: Casquilho José , Martins Xisto
Published: November 2022

Tara bandu is a traditional ceremony in Timor-Leste that enshrines a customary law with official recognition since independence, which generally applies to the spatial scale of the smallest administrative division of the territory (suco) and several years of timespan, rooting in tradition (lisan), concerning natural resources management and also relations among people. There is evidence related to the concepts of adat (tradition in Indonesia) and pemali (taboo) in Southeast Asia and Austranesia, suggesting that precursors of tara bandu should exist before the Portuguese arrival in the early XVI century. Yet, there was a subsequent diachronic process of hybridization of static iconic devices and other traditional Timorese practices with the vocalized Portuguese colonial bandos, evolving to a choreographic complex ritual with several semiotic dimensions: the sacrificial animist performance addressed to the ancestor’s spirits and a supernatural environment (lulik), dances and others including Catholic rites, then focusing on written documents endorsing commitments. Contemporaneously, tara bandu is a salient event anchoring communities in defining participatory land use plans including agreements on property boundaries, rules of engagement and also interdictions and sanctions. Tara bandu is mentioned nowadays as an example and case-study of bottom-up strategies for environmental peacebuilding processes.
Legal Protection Against Cryptocurrency Investors: Overview of Indonesian Consumer Protection Law
Authors: Arindrajaya Safina Callistamalva
Published: November 2022

Information and communication technology advancements has spawned numerous innovations, including cryptocurrency. Cryptocurrency is a currency that only exists in Indonesia as a digital asset. The volatile and uncontrollable value of cryptocurrencies causes investors to suffer losses. This study aims to determine the legal protection of cryptocurrency investors in Indonesia under Consumer Protection Law. This study employs a descriptive qualitative methodology with a normative approach through legislation. According to the findings of this study, The Consumer Protection Act provides legal protection for cryptocurrency investors by regulating the rights and responsibilities of consumers and business actors.
On the Educational Significance and Value of Visual Arts
Authors: Carr David
Published: November 2022

There can be little doubt, from the enduring contemporary popularity of art galleries and museums, that such visual arts as painting and sculpture are sources of perceptual and emotional satisfaction and pleasure to a large viewing public. Still, given the contemporary unfamiliarity of much of the subject matter of past art and the absence of any clearly comprehensible subject matter in much modern (abstract and other) art, it may be less clear what younger or older viewers might come to learn from their viewing of much or any educational value. This paper first offers an overview of the complex history of development of visual art from past to present in light of the shifting standards of artistic and aesthetic evaluation that have variously guided such development. However, it is argued that, while any educated appreciation of visual art cannot be had without some understanding of such history, it also requires a clear grasp of conceptual relations between the artistic and the aesthetic and of the significant interplay of diverse criteria of evaluation in any and all serious artworks past or present. Given this, visual arts may provide a unique route to educational understanding of the broadest liberal character.
Art Education and the Investment of Attention
Authors: Fenner David
Published: November 2022

This paper is written for students of art and for teachers who are working to introduce students to art. It offers a practical answer to a practical question: how much time and attention should be directed toward a work of art that does not seem to be rewarding such an investment before deciding to give up and/or move on to an investment of time and attention in a different work of art? Reductionist tests such as “After fifteen minutes in a cinema where reward seems unlikely, walk out” are clearly unsatisfactory as there are many counterexamples. The answer offered by this paper focuses on a twelve-point calculus of contextual factors: object-focused factors (artform categorization of the artwork, genre categorization of the artwork, genetics, instantiation/performance), collective subject-focused factors (recommendations, strength of venue, provenance, community consensus), and particular subject-focused factors (psychic preparation, engagement, information, interpretation).
Mental Theorizing about Fictional Characters
Authors: Tullmann Katie
Published: November 2022

Mindreading is the ability to attribute mental states to others and predict their behavior. Mindreading is commonplace in our daily lives, as well as our engagements with fictions. In this paper, I provide an account of how we mindread fictional entities that draws upon a version of theory-theory (TT). TT states that we attribute mental states through a process of inference-drawing from tacit folk psychological knowledge about mental states and information about our current environment and then conclude that the target must think or feel a certain way. Philosophers of art seldom argue in favor of TT. My opinion is that TT does not appeal to those trying to explain fictional mindreading because it does not explicitly make use of the imagination or imaginary mental states. Moreover, TT faces several standard objections that philosophers of art have taken to heart. Most significantly, it is argued that TT proposes an overly complex cognitive architecture and does not capture the phenomenology of our mindreading experience. To combat such worries, I supplement the traditional account of TT with an account of social referencing. Social referencing is a heuristic model of how we quickly understand our social surroundings. I argue that this updated version of TT can adequately account for the challenges faced by standard TT and can readily explain how we mindread fictional entities.
A Catcher's Mask: Vincent Nava, Mexican Americans, and the Question of Race in Early Baseball
Authors: Nuñez Alex
Published: November 2022

When Vincent Nava became the first Mexican American to play professional baseball in the United States in 1882, it forced the sport to reckon with the place of individuals who did not fit neatly into the Black/white color line it had recently imposed, questioning if an ethnically Latin player should participate in a profession designated by and for white men. For Nava and his team, baseball became a way to experiment with whiteness and its corresponding characteristics of masculinity, social mobility, and identity. Nava's experiences mirrored those of many other Mexican Americans in their pursuit of equality and whiteness as a strategy to deter racial hostilities and to gain access to segregated spaces. Nava's attempts to circumnavigate the color line and the continuous negotiation of his identity within the sport provide critical insights to help deepen our understanding of the fluidity of the race-making process, how non-white populations resisted oppression, and how sports can enrich those conversations.
The Two Categorizations of Goods in Aristotle's Nicomachean Ethics
Authors: Kim Bradford Jean-Hyuk
Published: November 2022

This article resolves some difficulties with Aristotle's discussion of the choice-worthy (haireton). Nicomachean Ethics I posits goods that are choice-worthy for themselves and for something else, but Nicomachean Ethics X appears to present being choice-worthy for itself as mutually exclusive with being choice-worthy for something else; moreover, Nicomachean Ethics X seems to claim that action is choice-worthy for itself and, therefore, not choice-worthy for something else but also seems to claim that action is choice-worthy for something else and, therefore, not choice-worthy for itself. As for the latter problem internal to Nicomachean Ethics X, I argue that Aristotle is ultimately committed to the idea that action is choice-worthy for something else. As for the problem between Nicomachean Ethics I and X, I argue that Nicomachean Ethics X only claims something admitted by Nicomachean Ethics I: being choice-worthy for something else is mutually exclusive with being choice-worthy only for itself.
Is Spinoza'sEthicsMetaethically Constructivist?
Authors: Kyriacou Christos
Published: November 2022

Charles Jarrett and P. D. Zuk have argued on independent grounds that Spinoza's Ethics delineates a moral antirealist/constructivist position. I reconstruct their basic arguments, present their textual evidence, and suggest that the evidence is, in principle, compatible with moral realism. As I argue, Jarrett and Zuk have opted for an antirealist/constructivist interpretation of the adduced textual evidence because they tacitly rely on a mistaken metaethical assumption: that relational normativity entails moral antirealism/constructivism. I explain why this is not the case by reference to Aristotle's virtue ethics, as well as by reference to various contemporary metaethical positions that conjoin relational normativity and moral realism. I conclude that the textual evidence Jarrett and Zuk rely on does not suffice to render Spinoza's Ethics unequivocally morally antirealist/constructivist and that the morally realist interpretation remains defensible.
God Can Do Otherwise
Authors: Flint Dylan
Published: November 2022

This paper locates a source of contingency1 for Leibniz in the fact that God can do otherwise, absolutely speaking.23 This interpretative line has been previously thought to be a dead-end because it appears inconsistent with Leibniz's own conception of God, as the ens perfectissimum, or the most perfect being (Adams 1994). This paper points out that the best argument on offer which seeks to demonstrate this inconsistency fails. The paper then argues that the supposition that God does otherwise implies for Leibniz (at least) that God would not be praiseworthy, which is an absurd implication—or a violation of the principle of sufficient reason (PSR)—but that this is not, strictly speaking, an inconsistency—or a violation of the principle of contradiction (POC).4 While praiseworthiness is a perfection—and is compossible with God's other perfections—and so God must in some sense instantiate it, this paper argues that, given the nature of praiseworthiness for Leibniz, it in fact makes sense to say that praiseworthiness is merely a contingent perfection of God.5
Establishing the Existence of Things in Themselves
Authors: Beizaei Banafsheh
Published: November 2022

In the Critique of Pure Reason, Kant draws a distinction between appearances and things in themselves, characterizing the latter as uncognizable. While arguing that all we can cognize are appearances, Kant nevertheless maintains that there are things in themselves. This has struck many as questionable: how can we be in a position to affirm, of things stipulated to be uncognizable, that they exist? In this paper, I take up the challenge of establishing the existence of things in themselves. I begin by making the case that, given Kant's epistemological strictures, the existence of things in themselves must follow analytically from the existence of appearances. After examining the pitfalls of a recent attempt at establishing the existence of things in themselves, I go on to argue that the feature of appearances in virtue of which their existence analytically entails the existence of themselves is the subjectivity of their form. It is implicit in the notion of something with a subjective form that its matter is provided via affection from without. Moreover, the things providing the matter of appearances can't be located in space and time, because appearances themselves depend on our sensibility for their formal features.
Chisholm on the Necessary A Posteriori
Authors: Wreen Michael
Published: November 2022

Roderick Chisholm addressed the issue of the necessary a posteriori on at least three occasions and, characteristically, modified his views over time. He first advanced a three-stage argument that concluded that no necessary truths are known a posteriori. Without abandoning that argument, he later weakened its conclusion, claiming only that not all knowledge of necessary truths is a posteriori. In the main, this paper is a detailed critical exposition of Chisholm's arguments. However, it also picks up on some suggestive remarks of Chisholm's, draws them out, and explores them.
The Harsh Reality of Fine Words: The Daily Implementation of Immigration Policies in Soviet Karelia
Authors: Golubev Alexey , Takala Irina
Published: November 2022

This article considers the immigration of North American Finns to Soviet Karelia through the prism of daily life. It focuses on how governmental directives were implemented at the local level, and how the challenges of daily life forced the immigrants to re-evaluate the decision to move eastwards across the Atlantic, as well as the socialist project in general. In the first section, the article examines the motives of the immigrants with an emphasis on frictions between multiple Soviet state agencies. Since the motives of these agencies were different and sometimes directly contradictory to one another, the organization of immigration was from the very beginning plagued with inefficient management, indifference to arriving immigrants, and negligence of the conditions in which the immigrants were to live and work. The article discusses the conditions of housing and work and food, the three main spheres in which the Soviet Karelian leadership failed to satisfy demands of the immigrants, primarily because a long bureaucratic chain of management was too inflexible to introduce effective solutions. The article then considers the immigrants’ responses to their dissatisfaction with daily life, from re-emigration to adaptation to attempts to improve the quality of life without relying on official assistance.
A Long-Term Effect of Entrepreneurship Education on Entrepreneurial Intentions: Results from Finnish Higher Education Students
Authors: Joensuu-Salo Sanna
Published: November 2022

The economic growth of Finland and the well-being of Finnish society are heavily based on entrepreneurship. Hence, it is important to foster entrepreneurial intentions among students in higher education. Entrepreneurial intentions have been extensively studied in entrepreneurship research for the past twenty years, and most research applies Ajzen's (1991) Theory of Planned Behavior (TPB) in the context of entrepreneurial intentions. However, there remains a demand for research: studies employing the full TPB model are rare, and the biggest research gap lies in longitudinal settings. This article contributes to entrepreneurial intention research by examining the TPB model in a longitudinal follow-up of the same individuals from a point during their university studies, to between one and four years after graduation. In addition, the impact of entrepreneurial education on entrepreneurial intentions requires more research and longitudinal settings. My article contributes to this research by examining the long-term effect of entrepreneurial education on entrepreneurial intentions as illustrated by Finnish students in higher education. The objectives of this study are as follows: 1) to examine the long-term effect of attitudes, perceived behavioral control, and the subjective norm on entrepreneurial intentions, and 2) to examine the long-term effect of entrepreneurial education on entrepreneurial intentions after graduation. The data for this research were gathered from Finnish students in higher education over the period from 2008 to 2013. The results suggest that attitudes to an entrepreneurial career have explanatory power that is retained with time. Attitudes measured during the period of higher education explained entrepreneurial intentions even two to four years after graduation. Interestingly, the results show that entrepreneurial education has a long-term effect on entrepreneurial intentions among Finnish students in higher education.
Fine-grained Image Recognition Method using Discriminative Region-based Data Augmentation
Authors: He Jingyuan , Yang Bailong
Published: November 2022

In order to reduce the complexity of the network model and improve the accuracy of image recognition, a fine-grained image recognition method using discriminative region-based data augmentation is proposed. The method obtains the discriminative regions of the image through the attention mechanism, and then performs diversity data augmentation based on the discriminative regions, including region crop, region drop and region mix, and then uses the generated augmented samples to train the network model, the backbone network of the model is ResNet50. The proposed method is tested on 4 commonly used fine-grained image datasets CUB-200-2011, Stanford Cars, FGVC Aircraft and Stanford Dogs, and achieves high accuracy. The experimental results show that the proposed method can improve the localization ability and feature extraction ability of the model for discriminative regions, and it is more lightweight and easier to implement.
Low-light image enhancement with contrast regularization
Authors: Li Jinfeng
Published: November 2022

Because the processing of existing low-light images undergoes multiple sampling processing, there is serious information degradation, and only clear images are used as positive samples to guide network training, low-light image enhancement processing is still a challenging and unsettled problem. Therefore, a multi-scale contrast learning low-light image enhancement network is proposed. First, the image generates rich features through the input module, and then the features are imported into a multi-scale enhancement network with dense residual blocks, using positive and negative samples to guide the network training, and finally using the refinement module to enrich the image details. Experimental results on the dataset show that this method can reduce noise and artifacts in low-light images, and can improve contrast and brightness, demonstrating its advantages.
Research on Vehicle Longitudinal Control Method Based on Model Predictive Control
Authors: Gao Xingbang , Li Jiaojiao , Liu Ruiyuan , Zhang Shuai , Ma Pengcheng
Published: November 2022

In order to improve the safety of autonomous vehicles during driving and the comfort of drivers and passengers, the longitudinal dynamics model of the vehicle is first established. Secondly, the longitudinal motion control strategy is designed considering the influence of vehicle driving safety and driver comfort. Based on this, a longitudinal motion controller based on model predictive control is established. The upper controller uses the model predictive control algorithm to calculate the expected acceleration, and the lower controller uses the vehicle inverse longitudinal dynamics model to convert the expected acceleration calculated by the upper controller into throttle opening and braking pressure. Finally, the effectiveness of the longitudinal motion controller is verified by MATLAB / Simulink under different working conditions. The simulation results show that the longitudinal motion controller designed in this paper improves the comfort of drivers and passengers under the premise of ensuring the safety of vehicles.
Classification of black tea leaf water content based on hyperspectral imaging
Authors: Li Peiye
Published: November 2022

Withering is an important process step in black tea production, and the degree of withering directly determines the quality and flavor of black tea. Presently, the judgment of the degree of the withering of black tea at home and abroad mainly depends on the experience of tea masters, which is highly subjective and quickly leads to the inconsistent quality of finished tea. Based on these reasons, this thesis takes Ying Hong No. 9 black tea as the research object, extracts the spectral information of 50 tea leaves in four time periods using hyperspectral imaging technology and an image processing algorithm, and classifies them using a support vector machine, K-value proximity, random forest algorithm, and BP neural network, and the experimental results show that the spectral information of tea leaves in different periods has some variability. The BP neural network in The classification accuracy on the test set reached 73.3%, which was significantly better than the other three algorithms. Therefore, it is feasible to use hyperspectral imaging technology and related classification algorithms to nondestructively identify and classify the water content of black tea leaves during the tail-withering process.
Preface: 2022 International Conference on Applied Mathematics, Modeling Simulation and Automatic Control (AMMSAC 2022)
Authors: Haggai Emmanuel , Han Yingke
Published: November 2022

It is our honor to present the proceedings of the 2022 International Conference on Applied Mathematics, Modeling Simulation and Automatic Control (AMMSAC 2022). Due to COVID-19 pandemic, the conference was held virtually during August 27-28, 2022 in Xi'an, China.

AMMSAC 2022 aims to provide an ideal academic platform for researchers to present the latest research findings and describe emerging technologies, directions and developments in applied mathematics, modeling simulation, computer science, intelligent manufacturing and automatic control. As these goals require the cooperation of people from different background, we hope that our research will help to achieve a better and more sustainable future for all.

During the conference, we were pleased to be joined by four knowledgeable keynote speakers. More than 70 participants were benefited through each of the 30-35 minutes keynote speech. The parallel sessions were arranged in online meeting and carefully monitored by the organizing team.

We truly believe that the AMMSAC 2022 is a great platform for researchers, academician, industry players and student to brainstorm and exchange research idea, communicate their new research findings and eventually leading the world to meet the sustainable goals.

The AMMSAC Scientific Committee

Xi'an, China
Research of Passenger Flow Forecast of Urban Rail Transit Based on Data Mining
Authors: Ha Jinbing , Chen Weidong
Published: November 2022

With the development of China's economy and society, urban construction is constantly improving, urban rail transit is becoming more mature, and people's demand for travel quality is getting higher and higher. However, the imperfect operation and management leads to the contradiction between supply and demand of urban rail transit. Passenger flow data of rail transit is the basis of operation scheduling, and accurate prediction can effectively improve the utilization rate of operating energy. In this paper, through data mining of passenger flow data, the law of passenger flow in time dimension is analyzed, and three different forecasting models are established for rail transit passenger flow data. Finally, the forecasting effects of each model are compared. The characteristics of passenger flow are analyzed in the time dimension, which shows the different changing rules of passenger flow on working days and rest days. In the discussion of the three forecasting methods, firstly, the time series forecasting method is realized by SPSS software, and the final model parameters are determined by unit root test, autocorrelation analysis, partial autocorrelation analysis and Bayesian information criterion. After that, the regression prediction model of support vector machine and BP neural network model are established by MATLAB. The former maps nonlinear passenger flow data into high-dimensional space to find linear relationship for prediction, while the latter realizes passenger flow prediction by establishing neural network model. Finally, by comparing the three prediction models, the results show that the average absolute error of BP neural network prediction method is 13%, which is 44% and 10% lower than that of time series method and support vector machine method, respectively, with high accuracy.
Analysis on Transfer Learning Models and Applications in Natural Language Processing
Authors: Chen Muzi
Published: November 2022

Assumptions have been established that many machine learning algorithms expect the training data and the testing data to share the same feature space or distribution. Thus, transfer learning (TL) rises due to the tolerance of the different feature spaces and the distribution of data. It is an optimization to improve performance from task to task. This paper includes the basic knowledge of transfer learning and summarizes some relevant experimental results of popular applications using transfer learning in the natural language processing (NLP) field. The mathematical definition of TL is briefly mentioned. After that, basic knowledge including the different categories of TL, and the comparison between TL and traditional machine learning models is introduced. Then, some applications which mainly focus on question answering, cyberbullying detection, and sentiment analysis will be presented. Other applications will also be briefly introduced such as Named Entity Recognition (NER), Intent Classification, and Cross-Lingual Learning, etc. For each application, this study provides reference on transfer learning models for related researches.
The Application of Graph Embedding Based on Random Walk
Authors: Zhang Zeyue
Published: November 2022

In the historical process of scientific development, computers have a lofty position, and in recent years, graph embedding algorithms and models are one of the most popular subjects. A large number of similar data structures are indistinguishable by humans, but graph embedding can quickly compare and analyze these data structures. Existing research on random walk-based graph embedding methods is very rich. In order to summarize and classify the status quo of the more mature classical models and compare and integrate them, many different classical models are discussed in this paper. Based on different models, the problems solved, algorithm ideas, strategies, advantages, and disadvantages of the models are discussed in detail, and the application performance of some models is evaluated. DeepWalk model, Node2Vec model, HARP model are three graph embedding models based on the classical random walk model. Calculations for different data can occur by generating different node sequences. The three most important models in attribute random walk models are TriDNR model, GraphRNA model and FEATHER model. The model that only targets the information data in the shallow network is no longer suitable for the rapidly developing network. Attribute random walk models can handle data in deeper networks. At the end of this paper, the full text is summarized and the future prospect of this field is made.
The Application of Stochastic Processes in Options Pricing Model
Authors: Fang Zhou
Published: November 2022

Since English botanist Brown first observed the inconsistent mobility of pollen floating in liquid in 1827, stochastic motion has become one of the primary research topics today, and the use of stochastic processes in financial markets has never stopped [1]. The change in the process in any time interval do not affect the change in any other time intervals that do not overlap with of Brownian Motion, which possesses stationary independent increments. Therefore, this paper obtains the Black-Scholes Merton formula from the stochastic process through layers of derivation and analyses its limitations in terms of its existence. Therefore, this paper will derive the BSM formula and the logical relationships between them, step by step, starting from the stochastic process and discuss the problems and limitations of the BSM formula. The experiential results demonstrate that the proposed method can achieve better performance.
Preface: 4th International Conference on Material Science, Environment Science and Computer Science (MSESCS 2022)
Authors: Saxton Boyce , Duan Jie
Published: November 2022

The 2022 4th International Conference on Material Science, Environment Science and Computer Science (MSESCS 2022) is traditionally held in the Guangzhou, China. The organizing committee sincerely hopes that the conference helped to attract young scientists to solve urgent scientific problems. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of material science, environment science and computer science. The conference was held online during September 10-11, 2022 due to the pandemic, and more than 60 people attended the meeting.

The idea of MSESCS 2022 is for the scientists, scholars, engineers and students from the universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the universities and the industry. This conference is expected to establish further research collaboration and define the platform for the future research direction.

MSESCS 2022 covers a variety of topics related to planning, design, operation, management and maintenance of materials and computing engineering. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. The proceedings contain more than 40 papers grouped by topics.

The scientific committee of the conference highly appreciates the great work of the editorial board and reviewers in preparing this volume. We would like to express our sincere gratitude to all authors for their research contributions, and also to the organizers of the conference for their valuable spadework.

MSESCS Scientific Committee

Guangzhou, China
Advanced Post-Combustion Carbon Capture and Separation Technologies
Authors: Xu Yibin
Published: November 2022

The climate crisis caused by global warming has focused on the role of greenhouse gases (GHG), especially that of CO2, which is the predominant element of GHG. One of the current approaches toward reducing and limiting atmospheric carbon dioxide is through carbon capture and storage. The most commonly used techniques are absorption, adsorption and membrane-based carbon capture. This paper evaluates individual methods of CC currently in use and draws comparisons for the pros and cons. Furthermore, it assesses potential improvements for the future. The absorption method captures industrial carbon emissions due to its maturity and the possibility of retrofitting the technology into existing power plants. The adsorption method can operate through an extensive range of temperatures, which can be utilized in broader scenarios. Membrane technologies have the greatest potential for future development due to their low operational energy; however, further research is required to reduce capital costs and improve performance under certain conditions.
Carbon emission peaking and emission trading in the building sector
Authors: Zhu Chunguang
Published: November 2022

China has established the goal of a carbon emission peak and neutrality schedule. With the life cycle carbon footprint of building in China taking half of the country’s total emission, thus reducing emissions in the building sector is critical to achieving the goal. This paper examines the relevant literature and data, summarizes the focal point and challenging aspects in the process of carbon emission peaking in the building sector and discusses the role of emission trading in this process.
Deep Neural Networks for Object Detection
Authors: You Jiahao
Published: November 2022

Object detection is one of the most basic and challenging tasks in image and video domains. The research on computer vision tasks is getting more and more attention, such as some tasks: object classification, object monitoring, etc. This paper provides a literature review that summarizes the detailed algorithms and application scenarios for object detection. Analysing and summarizing the latest research results in the current Object detection field, and summarize the relevant data sets and evaluation indicators, and based on this, summarize the current research problems in the Object detection field, and discuss the future research challenges in the Object detection field. possible future research directions.
Study on Influencing Factors of Ethanol Coupling to Prepare C4 Olefins
Authors: Li Longlong , Hong Rui , Yang Chenxia , Tao Jiaqi
Published: November 2022

In this paper, we study the data analysis and calculation of the factors influencing the preparation of C4 olefins by ethanol coupling. Specifically, by combining each catalyst, the relationship between temperature and ethanol conversion and C4 olefin selectivity was analyzed by regression analysis and correlation analysis, respectively. In addition, the grey relational degree analysis was used to solve the grey relational degree between the influencing factors of the experiment. The nonlinear correspondence between ethanol conversion and C4 olefin selectivity with different catalyst combinations and temperatures was evaluated by means of random forest model and BP neural network model. Finally, we build a support vector machine regression (SVMR) model and optimize the cost and gamma parameters of this model using a genetic algorithm.
How to Achieve Next-Generation High-Performance Lithium-Ion Batteries for Electric Vehicles
Authors: Wang Zhen
Published: November 2022

Due to severe environmental issues, rapidly increasing attention has been paid to electric vehicles (EV) in the past decades. However, in the choice of batteries for EVs, nearly all car makers select lithium-ion batteries (LIBs) to power their vehicles for their great properties. LIB generally consists of cathode, anode, and electrolyte; these components greatly determine the performance of LIBs together. Therefore, analyzing the property of electrodes and electrolytes is extremely critical to achieving next-generation high-performance LIBs. Based on this, this review first summarizes several popular cathode materials, with their remaining challenges, such as degradation issues and provides some viable improvement strategies. Then, two categories of typical anode materials are discussed in detail, including their bottleneck issues and some protective method such as surface modification. In the end, this paper compares the merits and drawbacks of liquid and solid-state electrolytes and offers some possible solutions, respectively. This paper aims to provide a comprehensive reference to LIBs and direct further development for next-generation LIBs.
Advanced Design of Electrode Nanomaterials of Lithium-Ion Batteries for Electric Vehicles
Authors: Li Donggen
Published: November 2022

In the era of increasing global pollution and energy consumption, pollution-free new energy electric vehicles have become the future development direction. In recent years, researchers have used lithium-ion batteries (LIBs) as the main energy source for the electrically-operated car. With the development of new electronic equipment and the increasing demand for new pollution-free electric vehicles, new material science and technology, especially nanomaterial technology, have been widely concerned by researchers. Nanomaterials can improve the electrochemical function of LIBs, such as energy and power density. This paper summarizes the help of nanomaterials to improve the performance of lithium-ion batteries and the application of nanomaterials in the electrode materials of LIBs. It introduces how to improve the electrochemical performance of LIBs via special treatment on the anode and cathode materials.
Towards High-Performance Sodium-Ion Batteries: Starting from Electrode Materials
Authors: Huang Xingang
Published: November 2022

Lithium-ion batteries (LIBs), the most successful secondary battery in the energy storage field, have been deeply and widely used in all aspects of life (such as transportation commuting, electronic products, and clean energy storage), but the development of the most commercially successful battery is in crisis due to the problems of high cost and resource shortage. Sodium has attracted attention in energy storage because of its rich resources and low price. However, sodium ions have a larger ion radius compared with LIBs, which results in worse ionic conductivity. Therefore, this characteristic of sodium ions has become an important factor restricting the development of sodium-storage electrode materials. Whereas the restriction of developing electrode materials in sodium-ion batteries (SIBs), the emphasis of research has focused on enhancing the electrochemical performance of high-performance anode and cathode materials and promoting the commercial application of SIBs. This paper will introduce the current research status and progress in cathode and anode materials of SIBs, and the future development direction of cathode and anode materials for SIBs will be summarized by analyzing the mechanism and defects of related electrode materials.
The theory and discussion of diglossia
Authors: Zhang Jieqiomg
Published: November 2022

As a result of the globalization process, the number of diglossia and bilingual communities that are bilingual and linguistically regional has now surpassed the number of monolinguals and monolinguals worldwide, the phenomenon of bilingualism and diglossia in different countries shows great diversity. But the idea of bilingualism in the popular mind, has always been associated with the state, such as in Chinese and English, but there is another possibility, for example, that bilingualism is a form of bilingualism. Here, I will be from the definition of diglossia system, types and the combination of diglossia system with other disciplines and specific cases of diglossia system to elaborate these aspects. Due to the particularity of China’s national conditions, that is, there are 56 ethnic groups, 8 Mandarin dialects, countless dialects and international discourse system in common, diglossia and bilingualism are very numerous.
The Use of Corpus in English Writing: Scholarly Development and Implications
Authors: Gui Xugui , Deng Ling , Jiang Guilin
Published: November 2022

Corpus linguistics, as a methodological paradigm, is one of the striking fields in recent scholarly advancement. Its use in theoretical and practical explorations is generally accepted as a productive and efficient approach to provide affirmative support and empirical data and therefore, is wildly seen in disciplines of languages, linguistics and education. English writing, one of the commonest English language skills and a key area of studies for applied linguistics, has also aroused many interests in its integration with corpus linguistics. The use of corpus in English writing, though having achieved rich products in scholarly studies, still lacks a systematic investigation or a full summary on what have been developed and inspired. To fill in this gap, this study is aimed: by a bibliometric-and-corpus analysis on the titles, abstracts, and keywords, etc. of the scholarly articles of corpus and English writing, to find out their concerns, conclusions and implications.
Redactioneel
Authors: Redactie
Published: November 2022

RECTIFICATIEOp p. 171 wordt genoemd dat leerlingen in Vlaanderen in het officieel (cf. Nederland: openbaar) onderwijs het grondwettelijk recht hebben op onderwijs in een van de zeven erkende erediensten of de niet-confessionele zedenleer. Er zijn in België echter in totaal zes erediensten erkend, plus de niet-confessionele zedenleer.
EKISTIK DALAM PERMUKIMAN MASYARAKAT PEMASAK GULA NIRA LONTAR DI DESA OETUTULU SEBAGAI PENGUAT LINGKUNGAN MASYARAKAT KOMUNITAS
Authors: Messakh Jeni , Ndoen Rhodys , Achir Poetri Yaumil
Published: November 2022

Keseimbangan dan keberlanjutan dalam suatu proses kehidupan adalah hal terpenting yang menjadi faktor utama guna memenuhi kebutuhan hidup manusia selanjutnya. Keseimbangan yang diharapkan adalah hubungan baik antara manusia yang satu dengan manusia lainnya, manusia bersama masyarakat dan masyarakat komunitasnya serta antara manusia dengan alam itu sendiri. Kehidupan Permukiman Masyarakat desa Oetutulu lebih di kenal oleh masyarakat Kabupaten Rote Ndao karena menjadi komunitas masyarakat penghasil nira lontar menjadi gula lokal. Potensi dari masyarakat desa Oetutulu ini tidak dimiliki oleh desa lainnya di Kabupaten Rote Ndao, karena hanya masyarakat desa Oetutulu yang bisa memasak nira lontar olahan menjadi gula lokal dengan 3 jenis yaitu: gula lempeng, gula semut dan gula air. Kajian penelitian ini adalah bagaimana melihat keseimbangan yang telah terjadi selama proses kehidupan dalam masyarakat dan keberlanjutan dari masyarakat desa Oetutulu sebagai komunitas masyarakat penghasil nira lontar olahan menurut prinsip teori Ekistik dengan 5 elemen ekistik yang dianutnya yaitu : 1. elemen nature; 2. elemen man; 3. elemen shell; 4. elemen society serta elemen yang terakhir adalah 5. Network, sehingga dari hasil analisis yang dilakukan maka akan diperoleh dari ke- 5 elemen ekistik tersebut elemen mana yang paling dominan memberikan pengaruh paling paling besar terhadap kesejahteraan dalam kehidupan permukiman masyarakat desa Oetutulu untuk tetap menjadi komunitas masyarakat penghasil nira lontar olahan menjadi gula lokal. Kemudian meyelaraskannya dengan komponen masyarakat komunitas dari Allan dan Crow ( 4 komponen) sebagai penguat komunitas. Hasil penelitian ini menyimpulkan bahwa untuk menjadi sebuah masyarakat komunitas dengan menampilkan ciri dan kekhususan tertentu bukanlah sesuatu yang terjadi secara tiba-tiba namun ada unsur-unsur pendukung yang melatar belakanginya sehingga nama besar komunitas masyarakat itu tetap terjaga. Dalam studi kasus ini temuannya adalah dari 5 elemen ekistik yang dipelopori oleh Dioxidis yang dipakai sebagai tolak ukur penelitian ini, maka yang memberi kontribusi terbesar adalah elemen Nature (alam), karena kehidupan dan kelestarian pohon lontar yang juga disebut sebagai pohon Alhayat (Pohon kehidupannya suku Rote) adalah yang menjadi komoditi utama dari komunitas masyarakat pemasak nira pohon lontar. Setelah 5 elemen ekistik dikaji maka kita akan melihat hubungannya dengan komponen masyarakat komunitas dari Alan dan Crow (4 komponen). Bila kelima elemen ekistik hadir, kemudian tercipta keselaran dengan 4 komponen komunitas, pada akhirnya memberikan keseimbangan satu sama lain maka, meskipun waktu akan berubah terus kedepannya dengan generasi yang baru, namun komunitas ini akan tetap ada dan memiliki nama sebagai masyarakat pemasak gula nira lontar dari desa Oetutulu.
Predictors of Hospice Discharge After Surgical Fixation of Hip Fractures
Authors: Mekkawy Kevin L. , Chaudhry Yash P. , Rao Sandesh S. , Barry Kawsu , Puvanesarajah Varun , Amin Raj M. , Khanuja Harpal S.
Published: November 2022

Background:

Each year, over 300,000 people older than 65 years are hospitalized for hip fractures. Given the notable morbidity and mortality faced by elderly patients in the postinjury period, recommendations have been put forth for integrating palliative and, when needed, hospice care to improve patients' quality of life. Our objective was to (1) understand the proportion of patients discharged to hospice after hip fracture surgery and their 30-day mortality rates and (2) identify the independent predictors of discharge to hospice.

Methods:

We retrospectively queried the American College of Surgeons National Surgical Quality Improvement Program for all hip fracture surgeries between the years of 2016 and 2018. Included cases were stratified into two cohorts: cases involving a discharge to hospice and nonhospice discharge. Variables assessed included patient demographics, comorbidities, perioperative characteristics, and postoperative outcomes. Differences between hospice and nonhospice patients were compared using chi-squared analysis or the Fisher exact test for categorical variables and Student t-tests for continuous variables. A binary logistic regression model was used to assess independent predictors of hospice discharge with 30-day mortality.

Results:

Overall, 31,531 surgically treated hip fractures were identified, of which only 281 (0.9%) involved a discharge to hospice. Patients discharged to hospice had a 67% 30-day mortality rate in comparison with 5.6% of patients not discharged to hospice (P < 0.001). Disseminated cancer, dependent functional status, >10% weight loss over 6 months preoperatively, and preoperative cognitive deficit were the strongest predictors of hospice discharge with 30-day mortality after hip fracture surgery.

Conclusions:

Current hospice utilization in hip fracture patients remains low, but 30-day mortality in these patients is high. An awareness of the associations between patient characteristics and discharge to hospice with 30-day mortality is important for surgeons to consider when discussing postoperative expectations and outcomes with these patients.

Level of Evidence:

Level III, retrospective comparative study
Pengaruh Model Pembelajaran Problem Based Learning dan Student Teams Achievement Divisions terhadap Prestasi Belajar Siswa Kelas 5 SD
Authors: Mustaanah Arina , Prasetyo Tego
Published: November 2022

Tujuan penelitian ini untuk mengetahui bagaimana pengaruh penerapan model pembelajaran Problem Based Learning dan Study Team Achievement Desicion terhadap prestasi belajar siswa kelas 5 SD pada pembelajaran tematik. Metode penelitian menggunakan metode quasi eksperimen atau eksperimen semu dengan desain penelitian Nonequivalent Control Group Design. Dalam penelitian ini peneliti menggunakan dua kelompok yaitu kelompok eksperimen 1 yang diperlakukan dengan model pembelajaran Problem Based Learning dan kelompok eksperimen 2 yang diperlakukan dengan model pembelajaran Student Team Achievement Divisions. Sampel ditentukan dengan total sampling yang artinya bahwa seluruh populasi menjadi sampel penelitian yaitu siswa kelas 5 SDN Purworejo yang berjumlah 19 siswa dan SDN Dersansari 02 yang berjumlah 22 siswa, artinya total sampel adalah 41 siswa. Alat pengumpulan data menggunakan tes normatif dan analisis data menggunakan uji normalitas, uji homogenitas, dan uji hipotesis. Hasil penelitian ditinjau dari hasil uji beda (t) menentukan kelas eksperimen 1 sebesar 75.79 dan kelas eksperimen 2 sebesar 84.09. Sedangkan hasil uji N-Gain menunjukkan kelas eksperimen 1 sebesar 39.9% dan kelas eksperimen 2 sebesar 60.3% sehingga dapat disimpulkan untuk meningkatkan kemampuan prestasi belajar siswa lebih efektif jika menggunakan model STAD.
URBANIZAÇÃO E A PARTICIPAÇÃO DA MULHER NO MERCADO DE TRABALHO: UM ESTUDO DA REGIÃO METROPOLITANA DO VALE DO PARAÍBA E LITORAL NORTE.
Authors: Formoso Ilka Ramos , Costa Sandra Maria Fonseca da , Souza Adriane Aparecida Moreira de
Published: November 2022

O presente artigo apresenta uma análise da participação da mulher na população economicamente ativa em empregos formais e seus reflexos no grau de urbanização, considerando o Índice de População Economicamente Ativa feminina (PEA) e Índice Paulista de Responsabilidade Social (IPRS), em três municípios da sub-região 1, da Região Metropolitana do Vale do Paraíba e Litoral Norte: Santa Branca, Jacareí e Sâo José dos Campos. O estudo se utiliza de pesquisa bibliográfica, de dados sobre o grau de urbanização, número de mulheres em empregos formais, Índices de População Economicamente Ativa (PEA) e Índices Paulistas de Responsabilidade Social (IPRS) com diferentes dinâmicas socioeconômicas. Verificou-se que, embora as mulheres tenham conquistado relevante espaço no mercado de trabalho, demonstrado por meio de sua particicipação na população economicamente ativa nos três municípios da sub-região 1 da RMVPLN, ainda há desafios para se atingir uma melhor participação da mulher no mercado de trabalho, a fim de contribuir para uma maior eficiência econômica feminina como resultado essencial de desenvolvimento econômico da região. Apesar dos avanços e a ocorrência da metropolização e desmetropolização observada nos municípios em estudo, a disparidade da participação da mulher no mercado de trabalho se faz presente.