bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study to Assess the Performance of Disaster Management During the 2017 Yongji County Flood in China
Authors: Pang Deliang , Zhang Xinxin , Zhang Jian 
Published: November 2022

AbstractIn 2017, Yongji County, which is located in Jilin Province, China, was devastated by its worst floods for generations. Consequently, the people of Yongji County suffered losses due to both the natural disaster and the deficiencies of disaster management. The aim of this research was to evaluate the factors that influenced the experiences of victims to provide insights into the performance of disaster management. Statistical analysis was employed to describe the functions and role of disaster management in the 2017 Yongji County flood. The Logistic regression also was adopted to explore the association between the performance and outcomes of disaster management experienced by victims, and gender, age, profession, frequency of disasters, the efficiency of defense measures, the efficiency of rescue, the loss of property, the degree of normal life and productivity recovery, the satisfaction of governmental compensation, the degree of disaster information disclosure, the government attitudes, the mechanism of accountability, and public safety education. This paper is among the first studies to identify the factors that affect victims’ perceptions in assessing the performance of disaster management hosted by local government. Hence, this research makes an important contribution in assisting policymakers and officers in local government to improve performance in dealing with natural and environmental disasters.
Sticky PDMP samplers for sparse and local inference problems
Authors: Bierkens Joris , Grazzi Sebastiano , Meulen Frank van der , Schauer Moritz 
Published: November 2022

AbstractWe construct a new class of efficient Monte Carlo methods based on continuous-time piecewise deterministic Markov processes (PDMPs) suitable for inference in high dimensional sparse models, i.e. models for which there is prior knowledge that many coordinates are likely to be exactly 0. This is achieved with the fairly simple idea of endowing existing PDMP samplers with “sticky” coordinate axes, coordinate planes etc. Upon hitting those subspaces, an event is triggered during which the process sticks to the subspace, this way spending some time in a sub-model. This results in non-reversible jumps between different (sub-)models. While we show that PDMP samplers in general can be made sticky, we mainly focus on the Zig-Zag sampler. Compared to the Gibbs sampler for variable selection, we heuristically derive favourable dependence of the Sticky Zig-Zag sampler on dimension and data size. The computational efficiency of the Sticky Zig-Zag sampler is further established through numerical experiments where both the sample size and the dimension of the parameter space are large.
PCMIgr: a fast packet classification method based on information gain ratio
Authors: Cheng Yuzhu , Shi Qiuying 
Published: November 2022

AbstractTo solve the problem of ambiguous attribute selection in existing decision tree classification algorithms, a decision tree construction method based on information entropy, PCMIgr, is proposed. PCMIgr is a heuristic method based on greedy strategy. At each decision tree node, when it is necessary to select classification attributes for division, the attribute with the highest information gain ratio is selected. The main innovation of this method is that the attribute selection in the traditional classification method based on decision tree is optimized, and the classification efficiency of the constructed decision tree is improved compared with that before optimization. At the same time, the decision tree ensures that each leaf node is only associated with one rule, which avoids the common problem of "rule replication" in the process of traditional decision tree construction, and effectively saves memory and calculation time. The experimental results show that the application of this method to the construction of classification decision tree can further improve the efficiency of packet classification method based on decision tree, and can be applied to high-speed real-time packet classification.
The role of economic conditions and sustainable rural development on the sustainability of tourism development: evidence from China
Authors: Xue Chenlei , Tu Yu-Te , Ananzeh Mohammed , Aljumah Ahmad Ibrahim , Trung Lam Minh , Ngo Thanh Quang 
Published: November 2022

AbstractAt present, tourism is counted among those industries which have gained global attention due to rapid growth. Hence, a constant diversification in terms of destination is needed in tourism development. The recent trends of industry highlight the demand of alternative tourism types, among which nature-related tourism appears to be an emerging concept. In this regard, the present article investigates the impact of economic conditions and sustainable rural development on the sustainability of tourism development in China. The current research has gathered secondary data from the World Bank from 1981 to 2020. The quartile autoregressive distributed lag model has been applied to test the association between the variables. The results revealed that GDP, inflation, FDI, exchange rate, energy use, gross savings, and sustainable rural development have a significant and positive association with the sustainability of tourism development in China. Findings offer managerial implications recommending the local government to focus on the sustainability of rural development and economic conditions that may lead to the implementation of tourism-related development projects. This study also guides the policymakers in establishing policies related to tourism development using different economic conditions and sustainable rural development.
Environmental assessment of a disruptive innovation: comparative cradle-to-gate life cycle assessments of carbon-reinforced concrete building component
Authors: Backes Jana Gerta , Traverso Marzia , Horvath Arpad 
Published: November 2022

Abstract
Purpose
How to build in more environmentally sustainable manner? This issue is increasingly coming to the fore in construction sector, which is responsible for a relevant share of resource depletion, solid waste, and greenhouse gas (GHG) emissions. Carbon-reinforced concrete (CRC), as a disruptive innovation of composite building material, requires less resources and enables new forms — but does it make CRC more environmentally sustainable than steel-reinforced concrete (SRC)? This article aims to assess and compare the environmental impact of 45 material and production scenarios of a CRC with a SRC double wall.

Methods
The life cycle assessment method (LCA) is used to assess environmental impacts. The functional unit is a double wall and the reference flows are 1 m3 for concrete and 1 kg for fiber. CML methodology is used for life cycle impact assessment (LCIA) in the software GaBi© ts 10.0. A sensitivity analysis focuses on electricity grid mixes, concrete mixes, and steel production scenarios.

Results
The midpoint indicator climate change respective global warming potential (in kg CO2e) ranges between 453 kg CO2e and 754 kg CO2e per CRC double wall. A comparable SRC double wall results in emissions of 611–1239 kg CO2e. Even though less raw material is needed for CRC, it does not represent a clear advantage over SRC in terms of climate change. In a comparison, the production of steel (blast furnace vs. electric arc furnace vs. recycled steel) and the choice of cement type are of decisive relevance. For concrete mixes, a mixture of Portland cement and blast furnace slag (CEM III) is beneficial to pure Portland cement (CEM) I. For fiber production, styrene-butadiene rubber (SBR) has an advantage over epoxy resin (EP) impregnation and the use of renewable energy could reduce emissions of fiber production up to 60%.

Conclusion
CRC requires less material (concrete cover) than SRC, however, exhibits comparable CO2e to SRC — depending on the production process of steel. In the future, fiber production and impregnation should be studied in detail. Since in terms of climate change neither wall (CRC vs. SRC) clearly performs better, the two other pillars of sustainability (economic and social, resulting in LCSA) and innovative building components must be focused on.

Graphical Abstract
Können Kommunen Bildung managen? Gelingensbedingungen und Herausforderungen einer neuen kooperativen Steuerung kommunaler Bildungslandschaften
Authors: Reinhardt Max , Schmiedeberg Eva 
Published: November 2022

ZusammenfassungDieser Artikel der Zeitschrift Gruppe. Interaktion. Organisation. fasst aktuelle Forschung zum Thema Neue Steuerung in Kommunen am Beispiel des Datenbasierten kommunalen Bildungsmanagements zusammen. Die Autoren analysieren mit Hilfe der Qualitativen Inhaltsanalyse nach Mayring 11 Expert:inneninterviews aus dem kommunalen Bildungsmanagement. Aus der Interpretationsarbeit wird deutlich, dass die neue Steuerung im kommunalen Bildungsmanagement dann am besten funktioniert, wenn die Bildungsmanager:innen sich die Akzeptanz der Leitung neben der horizontalen Akzeptanz der kommunalen Verwaltung und der Bürger:innen z. B. über Gremienarbeit und konkrete Bildungsmaßnahmen erarbeitet haben und das kommunale Bildungsmanagement über ausreichend personelle Ressourcen verfügt.
VX-765 Alleviates β-Amyloid Deposition and Secondary Degeneration in the Ipsilateral Hippocampus and Ameliorates Cognitive Decline after Focal Cortical Infarction in Rats
Authors: Dong Dawei , Ren Aihui , Yang Ying , Su Jiayi , Liu Libin , Zhuo Wenyan , Liang Yubin 
Published: November 2022

AbstractFocal cortical infarction leads to secondary degeneration of the ipsilateral hippocampus, which is associated with poststroke cognitive impairment. VX-765 is a potent small-molecule caspase-1 inhibitor that protects against central nervous system diseases. The present study aimed to determine the protective effects of VX-765 on β-amyloid (Aβ) deposition and secondary degeneration in the hippocampus as well as cognitive decline after cortical infarction. Sprague–Dawley rats were used to establish a distal middle cerebral artery occlusion (dMCAO) model and randomly divided into the vehicle and VX-765 groups. Rats in the vehicle and VX-765 groups, respectively, were subcutaneously injected with VX-765 (50 mg/kg/d) and an isopycnic vehicle once a day for 28 days, starting 1 h after dMCAO. At the end of this 28-day period, cognitive impairment was evaluated with the Morris water maze, and secondary hippocampal damage was evaluated with Nissl staining and immunostaining methods. Neuronal damage and pyroptosis were detected by TUNEL and immunoblotting. The results revealed that VX-765 treatment ameliorated poststroke cognitive dysfunction after ischemia. VX-765 reduced Aβ deposition, neuronal loss, and glial activation compared with the vehicle control. In addition, VX-765 treatment increased BDNF levels and normalized synaptophysin protein levels in the hippocampus after cortical infarction. Notably, VX-765 treatment significantly reduced the expression of the pyroptosis-related molecules caspase-1, NLRP3, apoptosis-associated speck-like protein (ASC), gasdermin D, IL-1β, and IL-18. Additionally, VX-765 significantly decreased the numbers of TUNEL-positive cells and the levels of Bax and cleaved caspase-3 (cC3) and enhanced the levels of Bcl-2 and Bcl-xl after ischemia. Inflammatory pathways, such as the NF-κB and mitogen-activated protein kinase (MAPK) pathways, were inhibited by VX-765 treatment after ischemia. These findings revealed that VX-765 reduced Aβ deposition, pyroptosis, and apoptosis in the ipsilateral hippocampus, which may be associated with reduced secondary degeneration and cognitive decline following focal cortical infarction.
Prediction of Potential Biomarkers in Early-Stage Nasopharyngeal Carcinoma Based on Platelet RNA Sequencing
Authors: Xu Yuanji , Chen Lin , Chen Yijian , Ye Wangzhong , Huang Xinyi , Ke Mingyao , Ye Guodong , Lin Liancheng , Dong Kangmei , Lin Zhizhong , Bai Penggang , Chen Chuanben 
Published: November 2022

AbstractEarly diagnosis is essential for the treatment and prevention of nasopharyngeal cancer. However, there is a lack of effective biological indicators for nasopharyngeal carcinoma (NPC). Therefore, we explored the potential biomarkers in tumour-educated blood platelet (TEP) RNA in early NPC. Platelets were isolated from blood plasma and their RNA was extracted. High-throughput sequenced data from a total of 33 plasma samples were analysed using DESeq2 to identify the differentially expressed genes (DEGs). Subsequently, the DEGs were subjected to principal component analysis (PCA), gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis; and Cytoscape, TargetScan, and miRanda software were used for inferring the competing endogenous RNA network. We identified 19 long non-coding (lnc) RNAs (DElncRNAs) and 248 mRNAs (DEmRNAs) that were differentially expressed in the TEP RNA. In addition, SELP gene mRNA and lncRNAs AC092135.3, AC012358.2, AL021807.1, AP001972.5, and GPX1 were found to be down-regulated DEmRNA and DElncRNAs in the early stage of NPC. Bioinformatic analysis showed that these DEmRNAs and DElncRNAs may be involved in regulating the pathogenesis of NPC. Our research may provide new insights for exploring the biological mechanisms of NPC and early diagnosis using potential biomarkers.
The Key Drivers of Brain Injury by Systemic Inflammatory Responses after Sepsis: Microglia and Neuroinflammation
Authors: Xin Yuewen , Tian Mi , Deng Shuixiang , Li Jiaying , Yang Miaoxian , Gao Jianpeng , Pei Xu , Wang Yao , Tan Jiaying , Zhao Feng , Gao Yanqin , Gong Ye 
Published: November 2022

Abstract
Sepsis is a leading cause of intensive care unit admission and death worldwide. Most surviving patients show acute or chronic mental disorders, which are known as sepsis-associated encephalopathy (SAE). Although accumulating studies in the past two decades focused on the pathogenesis of SAE, a systematic review of retrospective studies which exclusively focuses on the inflammatory mechanisms of SAE has been lacking yet. This review summarizes the recent advance in the field of neuroinflammation and sheds light on the activation of microglia in SAE. Activation of microglia predominates neuroinflammation. As the gene expression profile changes, microglia show heterogeneous characterizations throughout all stages of SAE. Here, we summarize the systemic inflammation following sepsis and also the relationship of microglial diversity and neuroinflammation. Moreover, a collection of neuroinflammation-related dysfunction has also been reviewed to illustrate the possible mechanisms for SAE. In addition, promising pharmacological or non-pharmacological therapeutic strategies, especially those which target neuroinflammation or microglia, are also concluded in the final part of this review. Collectively, clarification of the vital relationship between neuroinflammation and SAE-related mental disorders would significantly improve our understanding of the pathophysiological mechanisms in SAE and therefore provide potential targets for therapies of SAE aimed at inhibiting neuroinflammation.
The primal garden: Tajikistan as a biodiversity hotspot of food crop wild relatives
Authors: Kotowski Marcin Andrzej , Świerszcz Sebastian , Khoury Colin K. , Laldjebaev Murodbek , Palavonshanbieva Barfiya , Nowak Arkadiusz 
Published: November 2022

Abstract
Despite being located within a primary region of crop diversity, documentation of Tajik crop and crop wild relative (CWR) resources is far from comprehensive, particularly regarding CWR. Here, we compile the first inventory of food CWR of Tajikistan. A total of 549 food CWR taxa belonging to 36 families and 125 genera were documented as occurring in the country. Among them, 71 taxa were recognized as native close relatives of globally important crops (category 1A), 67 as native distant relatives of these crops (1B) and 411 as native taxa with an undetermined relationship to these crops (1C). This documented CWR diversity far exceeds previous scientific assessments for the country and, in doing so, distinguishes the Tajik region from surrounding countries. Within the country, the results indicate a clear gradient of food CWR taxonomic richness from the eastern part of the country (least diversity) to the western part (greatest diversity). This trend adds important new information to the body of literature published by N. I. Vavilov and others, who mainly stressed the importance of the Pamir region (Eastern Tajikistan) for crop and CWR diversity.
Mars Constellation Design and Low-Thrust Deployment Using Nonlinear Orbit Control
Authors: Pontani Mauro , Pustorino Marco , Teofilatto Paolo 
Published: November 2022

AbstractThis research addresses the design of a Mars constellation composed of 12 satellites and devoted to telecommunications. While 3 satellites travel areostationary orbits, the remaining 9 satellites are placed in three distinct quasi-synchronous, inclined, circular orbits. The constellation at hand provides continuous global coverage, over the entire Martian surface. The use of 4 carrier vehicles, departing from a 4-sol orbit, is proposed as an affordable option for the purpose of deploying the entire constellation, even starting from dispersed initial conditions. Each carrier is driven toward the respective operational orbit using steerable and throttleable low-thrust propulsion, in conjunction with nonlinear orbit control. Lyapunov stability analysis leads to defining a feedback law that enjoys quasi-global stability properties. Orbit phasing concludes the constellation deployment, and is carried out by each satellite. The tradeoff between phasing time and propellant expenditure is characterized.
Late industrialisation and global value chains under platform capitalism
Authors: Naudé Wim 
Published: November 2022

AbstractThe digital (or 4th industrial) revolution has made industrialisation harder by being less consequential for structural transformation than was initially hoped. The rise of digital platform capitalism and its relation to global value chains (GVCs) is responsible for this. This paper explains why diminished expectations of the 4th industrial revolution are justified and how this is due to digital platforms as intellectual monopolies that are reconfiguring GVCs—and by this, making industrialisation harder. As such, the paper contributes to the research lacuna on the relationship between GVCs and digital platform capitalism. The implications for late industrialisation are identified, and broad recommendations for industrial policies are made.
Das Ringen um die Kolonialexpertise: Richard Thurnwalds Mitarbeit an Kolonialhandbüchern zu Afrika im Zweiten Weltkrieg
Authors: Rohrbacher Peter 
Published: November 2022

ZusammenfassungAuf Grundlage bisher ungenutzter Archivalien aus sechs Archiven wird in dieser Studie erstmals die intensive Mitarbeit Thurnwalds an zwei kolonialpolitischen Handbüchern zu Afrika in der Zeit von 1940 bis Ende 1944 ausführlich dargestellt. Der Beitrag baut auf dem von George Steinmetz 2009 vorgeschlagenen Fünf-Phasen-Modell auf. Aus epistemologischer und methodischer Sicht verfolgt der Artikel eine evidenzbasierte Quellenanalyse, die die Ansätze der historischen Anthropologie mit denen der Zeitgeschichte für eine ethnologische Fachgeschichtsschreibung verbindet. Gegliedert in zwei Abschnitte zeigt der erste Teil, wie Thurnwalds kolonialanthropologischer Ansatz in einem heftigen Schlagabtausch mit seinem Kollegen Hugo A. Bernatzik herausgefordert und schließlich von Diedrich Westermann übernommen wurde. Der zweite Teil konzentriert sich auf ein von Thurnwald verfasstes Manuskript über Afrika, das nach seinen eigenen Angaben 400 Seiten umfasste, aber nie veröffentlicht wurde.
Dialogic theories, literacy practices and initial teacher education
Authors: Janfada Mahtab , Gannaway Jessica , Davies Larissa McLean 
Published: November 2022

AbstractInitial Teacher Education has been informed by diverse perspectives in recent years; while the debates around what constitutes teacher quality and adequate preparedness focus on the structure and focus of programs, entry and exit requirements, the current era presents new challenges to which teachers must respond such as an increased call for cultural responsiveness. In this context, the way that literacy itself is conceptualised within teacher education requires expansion. We argue in this paper that literacy plays a key role in the ontological and epistemological development of quality teachers, beyond the way it is currently conceived as either a hurdle requirement for the successful completion of an ITE program (Barnes & CrossTeachers and Teaching,26(3-4), 307-325, 2020) or as a set of skills to support students to develop content knowledge across the disciplines (Scott et al.Teaching and Teacher Education,73, 1-13, 2018). We contend that literacy is central to teacher’s professional becoming (Matusov et al., 2019) and explore how a dialogic approach to teaching can support pre-service teachers’ professional meaning making. The paper proposes a dialogic framework to embrace different levels of dialogue not merely as a means of ‘doing’ in the classroom, but as central in the process of knowing, being and becoming a professional teacher.
Between vision and practice: lack of alignment between AI strategies and energy regulations in the Dutch electricity sector
Authors: Niet Irene 
Published: November 2022

Abstract
Different governmental institutions are publishing more and more visions, strategies, or proposed regulations related to artificial intelligence. This paper analyses how these visions or proposed regulations are put into practice. To this end, the proposed European Union Artificial Intelligence Act, the Dutch artificial intelligence strategy and the proposed new Dutch energy law are compared. Even though the new Dutch energy law was created parallel and published after the European Union Artificial Intelligence Act, it does not take into account the use of artificial intelligence in the electricity actor. Similarly, the focus points of the Dutch artificial intelligence strategy are ignored in the new Dutch energy law. Two issues emerge from this. First, it is questionable if and how visions, strategies and proposed regulations related to AI are translated into different sectors and related practices. Second, as the different acts and proposed regulations do not communicate or overlap, gaps develop between the different policies. It is unclear which institutions will fill in these gaps.
A Rapid Assessment of Road Crashes in Uganda: Notes from the Field
Authors: Walekhwa Abel Wilson , Mulolo Francis , Achiro Carla , Nantongo Mary , Nakazibwe Brenda , Masanza Monica Musenero 
Published: November 2022

Abstract
Background
Road crashes continue to persist on Ugandan roads despite the government’s commendable efforts over many years. This study sought to explore the persistent causes of road crashes, suggest recommendations and evaluate the costs incurred by the government for treating accident victims.

Methods
A rapid cross-sectional study involving both quantitative and qualitative study approaches was performed. Desk reviews and six key informant interviews were conducted with traffic police officers and hospital administrators. Traffic road accident data were abstracted from the Uganda Police Force database for the period of January 2021 to February 2022, to ascertain the magnitude of the problem and its causes.

Results
The causes of road accidents are mainly caused by to human error, weather and the poor state of some roads. The government spends reasonable amounts of money in treating accident victims, at USD 245–3590, yet the funds could instead be used to promote socio-economic development in communities.

Conclusion
Road crashes continue to occur in Uganda, mainly because of human error. We recommend amelioration of the identified causes of road traffic crashes to save lives and conserve limited public resources.