bluuebunny/crossref_metadata_2025_split huggingface dataset:
A szociális gazdaságtól a szolidáris gazdaságig – a helyi gazdaságfejlesztési modell átalakulása - Modellváltás a helyi gazdaság fejlesztésében
Authors: Csoba Judit 
Published: November 2020

Az ezredforduló környékén a szociális gazdaságot sokan olyan útkereszteződésnek tekintették, ahol a fejlesztéspolitika és a foglalkoztatáspolitika, a piaci, az állami és civil szektor találkozik, és ennek eredményeként egy gazdasági és társadalmi problémákat hatékonyan kezelni képes, a kapitalista fejlődés alternatívájaként megjelenő, harmadik út jön létre. A kilencvenes évek harmadik út modellhez kötődő várakozásai az ezredforduló környékén azonban tévesnek bizonyultak, s a szociális gazdasághoz kötődő értékek és működési modellek is jelentősen átalakultak. A „harmadik szektor” sok vonatkozásban beilleszkedett a piaci modellbe.
Az elmúlt két évtizedben a szociális gazdaság fogalmát a szolidáris gazdaság fogalma váltotta fel főleg Európában és a latin-amerikai országokban. A szolidáris gazdaság kereteinek felvázolásakor a szakértők Polányi gazdasági integrációs sémáinak középpontba állításával a gazdasági tevékenységek tágan értelmezett – a piacot, az újraelosztást és a reciprocitás elvét is magában foglaló – modelljét javasolják, s ezzel együtt megkérdőjelezik a gazdaság kapitalista modelljének általános érvényességét. A szolidáris gazdaság értékrendszerének megfelelően a helyi gazdaság fejlesztése már nem korrektív, vagy kiegészítő eleme a globális gazdaságnak, mint a harmadik szektorba integrálódott szociális gazdaság, hanem ökológiai, esélyegyenlőségi, kulturális aspektusokkal megerősödve lokális rendszerekben építkező, de globális szinten érvényesülő gazdasági, társadalmi ökoszisztéma meghatározó elemévé vált.
A tanulmány célja annak elemzése, hogy a szociális gazdaságtól a szolidáris gazdaságig vezető modellváltás milyen gazdasági, társadalmi és politikai közegben zajlott, s milyen alapvető értékek változásával járt. Módszerként az elmúlt három évtized szociális gazdaságra vonatkozó, meghatározó tudományos és politikai diskurzusainak elemzését választottuk. Az elemzés során kiemelt figyelmet fordítottunk a szociális gazdasággal kapcsolatos kulcsfogalmak használatának területi különbözőségeire. A nemzetközi trendek tárgyalása során az európai modellt állítottuk fókuszba, s ehhez viszonyítottuk a szociális/szolidáris gazdaság magyarországi fejlődésének sajátosságait.
On the Application of Dynamic Logos in Brand Image Design
Authors: Wang Yunxi 
Published: November 2020

<p>Market competition is increasingly fierce in the new era. Enterprises must focus on establishing their good brand images in order to occupy a favorable position in the competition. The effective application of dynamic logos in brand image design can make logos develop towards three-dimensional or even multi-dimensional space, enriching and diversifying brand logos through dynamic graphics, personalized voice, rich colors, <em>etc.</em></p>
How to Apply Creative Thinking to Physical Education Training in Colleges and Universities
Authors: Zhang Yonggang 
Published: November 2020

<p>With the general development and progress being made these days, there are higher requirements from societies on college sports teaching, as well as training results. University education is the last link to cultivate talents for the society. A talented person must have rich and in-depth professional knowledge, a strong and powerful body, and should be a creative thinker who is willing to break away from conventions, This article puts forward new requirements for college physical education, which should not only be applied with creative thinking to make students strengthen their physical fitness in physical exercise, but also guide and stimulate the creation of student's thinking while teaching.</p>
A Research Agenda of “EFQM Recognized for Excellence” recipients in the Czech Republic
Authors: Adámek Pavel , Bauerová Radka , Zapletalová Šárka 
Published: November 2020

Abstract
This paper provides a general approach to explore an appropriateness of business excellence models (BEMs) in Czech environment and investigates whether there is a specific approach to the adoption of best management practices in organizations embedded in the EFQM Excellence Model including as a part of national quality awards (NQAs) and evaluate impact on their key performance indicators. The aim of the paper is to provide an overview of the BEMs approach in the Czech Republic and found the relevance with the issues of resulting from the implementation of the EFQM model and selected performance indicators. As an example was involved the Czech companies awarded in NQAs in the area of excellence between 2010 and 2016. Based on a reflection of the current situation, there is still discussion about the implications for the implementation of the EFQM Excellence Model on the performance indicators. Using a qualitative methodology, based on case studies, we conducted a detailed analysis of key performance indicators before and after of the adoption of the EFQM Excellence Model, as well the company's current state of maturity. This study is based on information gathered through an extensive literature review using print media, research databases, and we also employed the available reporting for awarded companies. We systemized the variables of business excellence with the higher impact on organizational performance. The main findings of this study are in accordance with other studies carried out across Europe, namely the fact that the internal motivations are the key factor for the implementation of the EFQM Excellence Model, support of involvement from NQAs, the key role is in willingness of top managers (or owners) and methodological helpful is an implementation of ISO 9001 certification. On the basis of selected performance indicators, the positive development of the companies was demonstrated. This study contributes to the management literature on best practices, by highlighting a consistent trend in the use of the EFQM Excellence model, and is expected to help in the development and broadening of the excellence approach in the business environment.
Partial Dictation vs. Dictogloss Effect on Listening Comprehension of Iranian EFL Learners
Authors: Mowlaie Bahram , Abdolmajid Milad , Rahimi Ali 
Published: November 2020

The unique characteristics of the listening skill and the vital role they play in language learning and communication do not receive the attention they deserve and the situation is worsened in EFL contexts due to lack of communication in everyday context. Given this, the present study was an attempt to empirically investigate if partial dictation versus dictogloss had any significant effect on listening comprehension of Iranian EFL learners. To this end, 60 male EFL learners were selected via double sampling and, after taking homogeneity test and listening pre-test, they were randomly assigned to two experimental groups (partial dictation versus dictogloss) and a control group. The first experimental group was exposed to dictogloss, while the second experimental group was exposed to partial diction. The control group underwent the mainstream usual classroom activities. After the treatment which took one hour each session for seven sessions, a listening post-test was given to all groups. The thorough analysis of data using paired sample t-test indicated that partial dictation group slightly outperformed the dictogloss group in the listening post-test and both experimental groups significantly outperformed the control group in the listening test. The result can have implications for learners, teachers, and material developers in all second and, especially, foreign language contexts where listening comprehension does not receive the attention it deserves and this, in turns, deprives EFL learners of viable sources of input. It is recommended that dictation in either partial format or dictogloss become an instructional activity in English classes because of its usefulness in improving listening comprehension and, more importantly, because of its practicality which is an important concern in many language learning contexts.
Key words: Dictogloss; English as a Foreign Language, Listening Comprehension; Partial Dictation
Pengaruh Proses Pendidikan Di Aal Terhadap Kemampuan Kepemimpinan Lapangan Perwira Remaja Di Tempat Penugasan Dengan Performance Sebagai Variabel Intervening
Authors: Hutanto Dian Tri , Hadi Prasetyo 
Published: November 2020

Some researches of education elements have been greatly worked out in the educational institutions, yet the researches have been rarely conducted in Indonesian Military Training Institutions. This research is aimed to prove that there is a positive influence of the Indonesian Naval Academy training process on the junior officer’s field leadership ability as the Indonesian Naval Academy graduates. And this research is particularly to prove that the performance of junior officers as resulted from Indonesian Naval Academy training is capable of being an intervening variable between the training and the ability of field leadership. The populations of this research are junior officers graduated from Indonesian Naval Academy in 2009, 2010 and 2011 serving in eastern fleet and 1st Marine Division. The method of sampling is a proportional simple random sampling by 132 samples. The complexity of interrelation occurred between variables make variant of Partial Least Square based Structural Equation Modeling as a mean to prove a proposed hypotesa. The eventual conclusions are that educational variable in Indonesian Naval Academy has positive and significant influences on junior officer’s performances; performance variable has positive and significant influences on the ability of field leadership; educational variable has positive and significant influences on the ability of field leadership; field performance as previously played a role as intervening variable (between) has changed the role to be a moderating variable (amplifying), and the ability of junior officer’s field leadership in the workplace will be better if it is achieved from indirect interrelation between educational variable in Indonesian Naval Academy and the ability of junior officer’s field leadership with moderating performance variable in the workplace.
Message from the Winner
Authors: Iguchi Masato ,   Professor, Sakurajima Volcano Research Center, Disaster Prevention Research Institute (DPRI), Kyoto University, Kagoshima, Japan
Published: November 2020

A volcanic eruption is a phenomenon in which ballistic bombs, lapilli, volcanic ash, lava, and gas are discharged. Volcanic ash and gas are carried by the wind, and pyroclastic flows and lava flows are carried away by the force of gravity. These cause disasters of various forms in the areas around volcanoes, sometimes far from eruptive center. Accordingly, volcanic countries, particularly Asian countries such as Japan, Indonesia, and the Philippines, have been the scenes of volcanic disasters. We conducted the research project “Integrated study on mitigation of multimodal disasters caused by the ejection of volcanic products” with the Center for Volcanology and Geological Hazard Mitigation and other institutes in Indonesia under the SATREPS project from FY2013 to 2018. The aim of the project was to advance volcanic hazard mitigation, and I served as the guest editor of “Special Issue on Integrated Study on Mitigation of Multimodal Disasters Caused by Ejection of Volcanic Products” (2016) and “Special Issue on Integrated Study on Mitigation of Multimodal Disasters Caused by Ejection of Volcanic Products: Part 2” (2019) of the Journal of Disaster Research. The articles in the Special Issues have been downloaded by many researchers. The Special Issues cover many topics related to volcanic disasters, but the main theme is how to forecast real-time volcanic hazards using data monitoring, since it is this monitoring that triggers the issuing of warnings.
I have studied the volcanic activity of Sakurajima, the most active volcano in Japan, for 40 years, primarily to forecast its eruptions. Forecasting the eruptions is not as important as forecasting the hazards and risks posed by volcanic actions. Research done on the mitigation of the volcanic hazards of Sakurajima as well as Indonesian volcanoes has been enhanced by interaction. The cumulative volume of magma stored in the past 100 years indicates that Sakurajima has the potential for a large-scale eruption (VEI > 4). An eruption and its dispersal of volcanic ash in particular would cause a variety of disasters over a wide area, as described in the other issues of Journal of Disaster Research. I hope that the research results will be utilized for hazard mitigation in the event of future large-scale eruptions. The research could be advanced through collaboration with studies aimed at the enhancement of resilience and recovery.
Research on the Determinants of Government Investment Effect
Authors: Yang Xuelian , Zhang Yu , Yang Cuihong , Xu Jian 
Published: November 2020

Abstract
Government investment plays an important role in promoting and guiding the economic and social development in China. Xinjiang is the core province of the Belt and Road and its economic growth is mainly driven by investment. This paper decomposes the determinants of government investment effect into economic structure change, technological change and investment structure change, using the non-competitive input-output table of Xinjiang province in 2007, 2012 and 2015 and structural decomposition analyses. The results show that, the government investment effect in Xinjiang shows a slight decline trend. During the period, the change of economic structure and investment structure have the negative impact on government investment effect, while the change of technology has the positive impact on government investment effect. In addition, these impacts have strong sectoral heterogeneity.
Completion Effects on Diagnosing Multistage Facture Treatments with Distributed Temperature Sensing
Authors: Sakaida Shohei , Zhu Ding , Hill A. D. 
Published: November 2020

Summary
Distributed temperature sensing (DTS) is a valuable tool to diagnose multistage hydraulic fracture treatments. When a stage interval is shut in, the clusters that take more fluid during pumping warm up more slowly. Therefore, the fluid volume injected into each cluster can be quantitatively interpreted by numerical inversion of the warm-back temperature behavior. This general concept assumes that the different warm-back behavior is controlled by only the injected fluid volume; however, recent observations of DTS data indicate that completion configurations significantly influence the warm-back behavior.
This paper investigates the completion effects on the DTS interpretation. In ideal conditions, when a stage is fractured, the upstream stage intervals should show an almost uniform temperature that is close to the injected fluid temperature. This is due to the high fluid velocity of injected fluid in the wellbore, and the upstream intervals have not been perforated (noncommunicating intervals), so the only heat transfer is heat conduction between the wellbore fluid and the surrounding reservoir. But the field DTS data show considerably irregular variations in temperature along the upstream stage intervals. These variations are caused by the completion effects. The nonuniform temperature profile is caused by different heat transfer behavior induced by completion hardware along the production casing string, such as joints, clamps, and blast protectors, and by the sensing cable location in the cement, as well as the cement quality. Because the varying heat transfer behavior impacts the warm-back behavior as well as the temperature profile, the completion effects need to be considered in DTS interpretation.
A method of DTS interpretation considering the completion effects to diagnose multistage fracture treatments was developed. Because the heat transfer between a wellbore and a reservoir depends on the overall heat transfer coefficient describing heat conduction through the completion in a forward model, this parameter needs to be tuned all along the wellbore. To calibrate the completion effect, the temperature inversion is conducted using the temperature measured at a stage interval that is upstream of a stage interval currently being treated. Because the interpreted stage interval is not perforated at that time, the thermal behavior at the noncommunicating interval is governed by only the heat conduction through the completion environment. Once the effective values of the overall heat transfer coefficient are estimated along the interpreted stage interval, they can be assumed to be constant physical parameters. Then, the fluid volume distribution is interpreted by using the effective overall heat transfer coefficient profile along each interval.
This study provides a field application of the developed interpretation method. The new interpretation method provides more accurate diagnosis of fracture treatments by DTS interpretation.
DMX-FMX: Bridging the Gaps Between Data Analyses and Combined Data–Model Driven 3D Fault and Fracture Network Modeling - A Novel Approach
Authors: van Dijk Janpieter 
Published: November 2020

Abstract
In the present paper new original approach is presented that constitutes the link between the analyses techniques of fracture and fault (Discontinuity) networks in surface and subsurface such as obtained from borehole imaging, conventional observations and ctscan on cores, laser scan and drone observations on outcrops, and 3d seismic attribute volumes, and the novel DMX Protocol, a numerical code developed over the last 15 years to converge towards a more realistic Discontinuity Network representation in space, on the other.
This new methodology uses the following flow chart: The FMX protocol analyses datasets for mathematical characterizations of distributions of parameters such as size, spacing, orientation and truncations (distribution models such as Normal, Power Law, LogNormal, etc.). These data analyses tools are linked to different type of Data Driven Modeling technologies, already presented during the last 25 years, both in 2d and 3d (FPDM statistical mapping of orientation and density, 3d deterministic surface fitting) in order to obtain realistic 2d and 3d fracture and fault networks directly based and linked to the observations. On the other hand, the DMX 3d modeling protocol (launched in 2019), includes new features such as Fracture interaction, and IXTV truncation, termination and cross cutting in 3d space, all based on newly designed collision algorithms and fracture propagation principles. The DMX protocol furthermore permits modelling at any scale range of unlimited basic 3d fracture shapes, specific 3d fracture morphology, and 3d fracture aperture types. A complete integration between classical geological/geomechanical drivers such as stress ellipse, fault zones with 3d slip vectors, and different fold models (axial plane, fold axis and bedding orientation conditioning), geological assembly modelling such as joint spacing and set dependency, offset/faulting, and probabilistic conditioning of any of the parameters and drivers.
The newly presented work flow permits to integrate these technologies so that both the analyzed statistical distributions and the data driven 3d models can be successfully introduced inside the DMX 3d modeling, using its capabilities directly on the data driven models, and extending them into space towards unknown areas (e.g. inter well); I.e. the observed features are the germs of the 3d model itself. In this way the DMX protocol which has the capability of modeling an unlimited amount of combinations of geological parameters in 3d space, is now successfully integrated in the 3d modelling of the data directly observed on outcrops, seismic images and borehole Logs.
Case studies of the application of the workflow will be presented of 3d models built using different sets of observations of fracture and fault networks on various scales, as examples of the application of new technologies in Artificial Intelligence to complex 3d modeling.
Economic Modelling of the Delay in Passing the Petroleum Industry Bill in Nigeria and Its Impact on Deep Offshore Investments and Government Take Statistics
Authors: Ogolo Oghenerume , Nzerem Petrus 
Published: November 2020

Abstract
The petroleum industry bill (PIB) in Nigeria aims to reform the petroleum sector of the country and increase government revenue from petroleum investments. Despite the benefits the bill offers to the country, its passage has suffered several setbacks. This research therefore studied the impact of the delay in passing the bill on deep offshore investments. Economic models were built using the fiscal terms in PIB 2009 and 1993 production sharing contract (PSC) arrangement to evaluate the impact of the bill. The model with the 1993 PSC fiscal terms was adjusted to capture the delay in passing the bill. The bill was assumed to be passed on a yearly basis for 10 years (2010 to 2019). The impact of the delay in passing the bill based on the reserve portfolio of firms in the deep offshore region of the country was also evaluated. The delay in passing the PIB reduced the government take. It was seen that for the non-passage of the bill, the government lost about $1227.2 MM. When the bill was passed in 2019, the government had been losing about $11.843 MM on a yearly basis due to the delay in passing the bill.
Dynamics of the upper respiratory tract microbiota and its association with fatality in COVID-19 patients
Authors: Li Mingkun , Ren Lili , Wang Yeming , Zhong Jiaxin , Zhang Dingyu , Xiao Yan , Li Jie , Yang Jing , Fan Guohui , Guo Li , Shen Zijie , Liu Wen , Kang Lu , Shi Leisheng , Li Xia , Li Qiong , Li Jizhou , Di Lin , Li Haibo , Wang Conghui , Wang Ying , Wang Xinming , Zhou Xiaohui , Rao Jian , Zhang Li , Wang Jianbin , Huang Yanyi , Cao Bin , Wang Jianwei 
Published: November 2020

Abstract
The pandemic of Coronavirus disease 2019 (COVID-19) is ongoing globally, which is a big challenge for public health. Alteration of human microbiota had been observed in COVID-19. However, it is unknown how the microbiota is associated with the fatality in COVID-19. We conducted metatranscriptome sequencing on 588 longitudinal oropharyngeal swab specimens collected from 192 COVID-19 patients recruited in the LOTUS clinical trial (Registration number: ChiCTR2000029308) (including 39 deceased patients), and 95 healthy controls from the same geographic area. The upper respiratory tract (URT) microbiota in COVID-19 patients differed from that in healthy controls, while deceased patients possessed a more distinct microbiota. Streptococcus was enriched in recovered patients, whereas potential pathogens, including Candida and Enterococcus, were more abundant in deceased patients. Moreover, the microbiota dominated by Streptococcus was more stable than that dominated by other species. In contrast, the URT microbiota in deceased patients showed a more significant alteration and became more deviated from the norm after admission. The abundance of Streptococcus on admission, particularly that of S. parasanguinis, was identified as a strong predictor of fatality by Cox and L1 regularized logistic regression analysis, thus could be used as a potential prognostic biomarker of COVID-19. The generalization of the results in other populations and underlying mechanisms needs further investigations.