bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis
Authors: Jin Yujuan , Zhao Qiqi , Zhu Weikang , Feng Yan , Xiao Tian , Zhang Peng , Jiang Liyan , Hou Yingyong , Guo Chenchen , Huang Hsinyi , Chen Yabin , Tong Xinyuan , Cao Jiayu , Li Fei , Zhu Xueliang , Qin Jun , Gao Dong , Liu Xin-Yuan , Zhang Hua , Chen Luonan , Thomas Roman K , Wong Kwok-Kin , Wang Yong , Hu Liang , Ji Hongbin 
Published: July 2021

AbstractSmall cell lung cancer (SCLC) is a recalcitrant cancer featured with high metastasis. However, the exact cell type contributing to metastasis remains elusive. UsingRb1L/L/Trp53L/Lmouse model, we identify the NCAMhiCD44lo/−subpopulation as SCLC metastasizing cell (SMC), which is progressively transitioned from non-metastasizing NCAMloCD44hicell (Non-SMC). Integrative chromatin accessibility and gene expression profiling studies reveal an important role of SWI/SNF complex, and knockout of its central component,Brg1, significantly inhibits such phenotypic transition and metastasis. Mechanistically, TAZ is silenced by SWI/SNF complex during SCLC malignant progression, and its knockdown promotes SMC transition and metastasis. Importantly, ectopic TAZ expression reversely drives SMC-to-Non-SMC transition and alleviates metastasis. Single-cell RNA-sequencing analyses identify SMC as the dominant subpopulation in human SCLC metastasis, and immunostaining data show a positive correlation between TAZ and patient prognosis. These data uncover high SCLC plasticity and identify TAZ as key molecular switch in orchestrating SCLC phenotypic transition and metastasis.
European-wide forest monitoring substantiate the neccessity for a joint conservation strategy to rescue European ash species (Fraxinus spp.)
Authors: George Jan-Peter , Sanders Tanja GM , Timmermann Volkmar , Potočić Nenad , Lang Mait 
Published: July 2021

AbstractEuropean ash (Fraxinus excelsior) and narrow-leafed ash (F. angustifolia) are keystone forest tree species in Europe with a broad ecological amplitude and significant economic importance. Besides global warming both species are currently under significant thread by an invasive fungal pathogen that has been progressively spreading throughout the continent for almost three decades. Ash dieback caused by the invasive ascomyceteHymenoscyphus fraxineusis capable of damaging ash trees of all age classes and often leads to the ultimate death of a tree after years of progressively developing crown defoliation. While studies at national and regional level already suggested rapid decline of ash populations as a result of ash dieback, a comprehensive survey at European level with harmonized crown assessment data across countries could shed more light into the population decline from a pan-European perspective and could also pave the way for a new conservation strategy beyond national boarders. Here, we present data from the ICP Forests Level I crown condition monitoring including 27 countries, covering the timespan from 1987-2020. In total, 407 survey plots randomly distributed across these countries were analyzed resulting in >36,000 individual observations. We found a substantial increase in defoliation and mortality over time indicating that crown defoliation has almost doubled during the last three decades. Hotspots of mortality are currently situated in southern Scandinavia and north-eastern Europe, well corresponding to the fact that the disease spread fast from north-east to north-west. Overall survival probability after nearly 30 years of infection has already reached a critical value of 0.51, but with large differences among regions (0.00-0.907). Both a Cox proportional hazard model as well as an Aalen additive regression model strongly suggest that survival of ash is significantly lower in locations with excessive water regime and which experienced more extreme precipitation events during the last two decades. Our results underpin the neccessity for fast governmental acting and joint rescue efforts beyond national boarders since overall mean defoliation will likely reach 50% as early as 2030 as suggested by time series forecasting. We strongly recommend to develop a pan-European conservation strategy before the decline will reach its tipping point resulting into non-reversible loss of diversity in the European forest landscape.
Gender-based implications of the COVID-19 pandemic on household diet diversity and nutritional security in Pakistan
Authors: Shahbaz Pomi , Haq Shamsheer ul , Khalid Umer Bin , Boz Ismet 
Published: July 2021

PurposeThe COVID-19 pandemic has profound implications on the food and nutritional security of millions of households. The study assessed the impacts of the COVID-19 pandemic on diet diversity, calorie consumption and intake of essential nutrients based on the gender of the households.Design/methodology/approachMixed-design ANOVA and logistic regression were used to analyze the collected data from 260 female- and 463 male-headed households through an online survey in Pakistan.FindingsThe outcomes revealed that the diet diversity of female households was affected more due to the COVID-19 compared to male households. The decline in daily nutrients' (protein, phosphorus, zinc, iron and iodine) intake during the COVID-19 was also greater for female-headed households than male-headed households. The share of all food groups in daily calorie and nutrient provision decreased significantly during the COVID-19 for both types of households. The share of meat and meat products declined more for female-headed households compared to male-headed households. The share of perishable commodities in calorie provision to female and male households decreased 2% during the COVID-19 compared to the normal period. Small- and medium-sized female and male households were less likely to experience worsened diet diversity than large-sized households during the COVID-19. Low-income compared to medium- and high-income female and male households were more likely to report declined food diversity during the COVID-19.Research limitations/implicationsThe data used in this study were collected through an online survey due to public health measures imposed in the country.Originality/valueDespite the emergence of literature on the implications of the pandemic on food security, the studies related to the gender-based impacts of COVID-19 on diet diversity and nutritional intakes of necessary nutrients are still non-existent. The current study will add to the literature by filling this gap.
A study of employee acceptance of artificial intelligence technology
Authors: Choi Youngkeun 
Published: July 2021

PurposeThis study aims to reveal the role of artificial intelligence (AI) in the context of a front-line service meeting to understand how users accept AI technology-enabled service.Design/methodology/approachThis study collected 454 Korean employees through online survey methods and used hierarchical regression to test the hypothesis empirically.FindingsIn the results, first, clarity of user and AI's roles, user's motivation to adopt AI-based technology and user's ability in the context of the adoption of AI-based technology increases their willingness to accept AI technology. Second, privacy concerns related to the use of AI-based technology weakens the relationship between role clarity and user's willingness to accept AI technology. And, trust related to the use of AI-based technology strengthens the relationship between ability and user's willingness to accept AI technology.Originality/valueThis study is the first one to reveal the role of AI in the context of a front-line service meeting to understand how users accept AI technology-enabled service.摘要研究目的本研究旨在顯示在前線服務會議的情況下人工智能所扮演的角色，以便了解使用者如何接受人工智能科技化服務。研究的設計/方法/理念研究以網上問卷調查方式取得454名韓國僱員的數據，並使用層次迴歸分析，對假設進行以經驗為依據的測試。研究結果研究結果首先顯示、增強使用者願意接受人工智能科技的因素包括使用者與人工智能兩者角色的清晰度、使用者使用基於人工智能的科技的積極性、以及在應用基於人工智能科技的情況下使用者的能力。其次，與使用基於人工智能的科技有關的私隱問題會削弱角色清晰度與使用者是否願意接受人工智能科技之間的關係。而且，對使用基於人工智能的科技的信任會強化有關的能力與使用者是否樂意使用基於人工智能的科技之間的關係。研究的原創性/價值這是首個研究、去顯示在前線服務會議的情況下人工智能所扮演的角色，以便了解使用者如何接受人工智能科技化服務。
Cauchy type nonlinear inverse problem in a two-layer area
Authors: Ciałkowski Michał , Olejnik Aleksander , Joachimiak Magda , Grysa Krzysztof , Frąckowiak Andrzej 
Published: July 2021

Purpose
To reduce the heat load of a gas turbine blade, its surface is covered with an outer layer of ceramics with high thermal resistance. The purpose of this paper is the selection of ceramics with such a low heat conduction coefficient and thickness, so that the permissible metal temperature is not exceeded on the metal-ceramics interface due to the loss ofmechanical properties.

Design/methodology/approach
Therefore, for given temperature changes over time on the metal-ceramics interface, temperature changes over time on the inner side of the blade and the assumed initial temperature, the temperature change over time on the outer surface of the ceramics should be determined. The problem presented in this way is a Cauchy type problem. When analyzing the problem, it is taken into account that thermophysical properties of metal and ceramics may depend on temperature. Due to the thin layer of ceramics in relation to the wall thickness, the problem is considered in the area in the flat layer. Thus, a one-dimensional non-stationary heat flow is considered.

Findings
The range of stability of the Cauchy problem as a function of time step, thickness of ceramics and thermophysical properties of metal and ceramics are examined. The numerical computations also involved the influence of disturbances in the temperature on metal-ceramics interface on the solution to the inverse problem.

Practical implications
The computational model can be used to analyze the heat flow in gas turbine blades with thermal barrier.

Originality/value
A number of inverse problems of the type considered in the paper are presented in the literature. Inverse problems, especially those Cauchy-type, are ill-conditioned numerically, which means that a small change in the inputs may result in significant errors of the solution. In such a case, regularization of the inverse problem is needed. However, the Cauchy problem presented in the paper does not require regularization.
Recreational benefits of wetlands: a survey on the Dal Lake in Jammu and Kashmir of India
Authors: Shah Showkat Ahmad , Islam Md. Saiful 
Published: July 2021

PurposeA wetland is a place of tourist attraction, and tourism values play a key role in economic development. Among various services provided by a wetland, recreational services are increasingly valuable in the tourism sector. This paper aims to unfold the potential recreational values of the Dal Lake in Jammu and Kashmir, India.Design/methodology/approachThe study uses individual travel cost methods (TCMs) and assesses its impact on regional development in terms of income and employment generation. A sample of 200 tourists is selected through an on-site survey on Dal Lake, and the demand for recreational visits and its value is estimated by employing the truncated Poisson regression model (TPRM) and un-truncated Poisson regression model (UTPRM). The consumers' surplus is estimated and tourists' benefit to visiting the wetland is explored.FindingsOn average, estimated consumers' surplus per visitor is Rs 6,250 (US$96.15) and Rs 25,000 (US$384.61) from respective models. The annual total recreational value of the lake is accounted for Rs 1713m (US$ 26m). This high consumer surplus (CS) and recreational values of the lake indicate large demand for its recreational facilities.Originality/valueThe study is based on primary data and thus, is original. The paper has implications for the policymakers to formulate sustainable management plans for the proper use of Dal Lake and tourism development.
Improved two factor fuzzy commitment scheme for securing IoT device
Authors: T. Yuvarani , A.R. Arunachalam 
Published: July 2021

Purpose
Generally, Internet-of-Things (IoT) is quite small sized with limited resource and low cost that may be vulnerable for physical and cloned attacking. All kind of authentication protocols designed to IoT devices are robust despite which it is prone to attack by hackers. In order to resolve this issue, there are various researches that have introduced the best method for obscuring the cryptographic key. However, the studies have majorly aimed to generate the key dynamically from noise data by Fuzzy Extractor (FE) or Fuzzy Commitment (FC). Hence, these methods have utilized this kind of data with noisy source namely Physical Unclonable Function (PUF) or biometric data. There are several IoT devices that get operated over undermined environment in which biometric data is not available but the technique utilized with biometric data can't be used to undermined IoT devices. Even though, the PUF technique is implemented for the undermined IoT devices this is quite vulnerable over physical attacks inclusive of accidental move and theft.

Design/methodology/approach
This paper has proposed an advanced scheme in fuzzy commitment over IoT devices which is said to be Improved Two Factor Fuzzy Commitment Scheme (ITFFCS) and this proposed ITFFCS has used two kind of noisy factors present inside and outside the IoT devices. Though, an intruder has accomplished the IoT devices with an access to the internal noisy source, the intruder can't select an exact key from the available data which have been compared using comparable module as an interest.

Findings
Moreover, the proposed ITFFC method results are compared with existing Static Random Accessible Memory (SRAM) PUF in enterprises application which illustrated the proposed ITFFC method with PUF has accomplished better results in parameters such as energy consumption, area utilization, False Acceptance Ratio (FAR) and Failure Rejection Ratio (FRR).

Originality/value
Thus, the proposed ITFFCS-PUF is comparatively better than existing method in both FAR and FRR with an average of 0.18% and 0.28%.
A system for relation-oriented faceted search over knowledge bases
Authors: Aso Taro , Amagasa Toshiyuki , Kitagawa Hiroyuki 
Published: July 2021

Purpose
The purpose of this paper is to propose a scheme that allows users to interactively explore relations between entities in knowledge bases (KBs). KBs store a wide range of knowledge about real-world entities in a structured form as (subject, predicate, object). Although it is possible to query entities and relations among entities by specifying appropriate query expressions of SPARQL or keyword queries, the structure and the vocabulary are complicated, and it is hard for non-expert users to get the desired information. For this reason, many researchers have proposed faceted search interfaces for KBs. Nevertheless, existing ones are designed for finding entities and are insufficient for finding relations.

Design/methodology/approach
To this problem, the authors propose a novel “relation facet” to find relations between entities. To generate it, they applied clustering on predicates for grouping those predicates that are connected to common objects. Having generated clusters of predicates, the authors generated a facet according to the result. Specifically, they proposed to use a couple of clustering algorithms, namely, agglomerative hierarchical clustering (AHC) and CANDECOMP/PARAFAC (CP) tensor decomposition which is one of the tensor decomposition methods.

Findings
The authors experimentally show test the performance of clustering methods and found that AHC performs better than tensor decomposition. Besides, the authors conducted a user study and show that their proposed scheme performs better than existing ones in the task of searching relations.

Originality/value
The authors propose a relation-oriented faceted search method for KBs that allows users to explore relations between entities. As far as the authors know, this is the first method to focus on the exploration of relations between entities.
Asymmetric effect of feature level sentiment on product rating: an application of bigram natural language processing (NLP) analysis
Authors: Oh Yun Kyung , Yi Jisu 
Published: July 2021

PurposeThe evaluation of perceived attribute performance reflected in online consumer reviews (OCRs) is critical in gaining timely marketing insights. This study proposed a text mining approach to measure consumer sentiments at the feature level and their asymmetric impacts on overall product ratings.Design/methodology/approachThis study employed 49,130 OCRs generated for 14 wireless earbud products on Amazon.com. Word combinations of the major quality dimensions and related sentiment words were identified using bigram natural language processing (NLP) analysis. This study combined sentiment dictionaries and feature-related bigrams and measured feature level sentiment scores in a review. Furthermore, the authors examined the effect of feature level sentiment on product ratings.FindingsThe results indicate that customer sentiment for product features measured from text reviews significantly and asymmetrically affects the overall rating. Building upon the three-factor theory of customer satisfaction, the key quality dimensions of wireless earbuds are categorized into basic, excitement and performance factors.Originality/valueThis study provides a novel approach to assess customer feature level evaluation of a product and its impact on customer satisfaction based on big data analytics. By applying the suggested methodology, marketing managers can gain in-depth insights into consumer needs and reflect this knowledge in their future product or service improvement.
Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors
Authors: Shakouri Rita , Salahi Maziar 
Published: July 2021

PurposeThis paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework.Design/methodology/approachFirst, inspired by the Imaniradet al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other.FindingsOne of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided.Research limitations/implicationsMore non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance.Practical implicationsThe purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input.Originality/valueProviding information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.
Legal frameworks for urban agriculture: Sydney case study
Authors: Corkery Linda , Osmond Paul , Williams Peter 
Published: July 2021

Purpose
This paper aims to examine the planning policy and legal framework governing the creation and operation of urban agriculture in Sydney, Australia’s global city. All levels of urban agriculture are considered – from domestic and small community gardens to large agribusiness – as all make an important contribution to agricultural production in an urban context.

Design/methodology/approach
Using the Australian State of New South Wales and its capital Sydney, as a focus, the study examines the recent trend of the recognition and re-establishment of agriculture as a desired land use in cities. Three examples are selected for closer scrutiny – Horsley Park Urban Agriculture Precinct, located in the Western Sydney Parklands; City of Sydney’s City Farm, located in the inner suburb of St Peters; and the Western Sydney Aerotropolis Agribusiness Precinct, located at a new airport on the fringe of Sydney.

Findings
As more city-dwellers embrace urban food production and as city authorities seek to encourage and facilitate farming activities, it is clear that regulatory structures which allow it to happen should be incorporated into urban planning legislation at (in the Australian context) state government level. If cities want to encourage urban agriculture, planning legislation needs to be part of the broader legal framework for enabling it to germinate and thrive.

Originality/value
This paper explores the emergence of two new types of urban agriculture: first, the multi-functional, small-scale urban farming operation, situated conceptually between a community garden and a full-scale commercial agricultural enterprise, and located spatially in the midst of built-up urban form; and second, the intensive, high tech export-oriented model exemplified by the Aerotropolis Agribusiness Precinct.
Learning with the devil: mentoring and advocates
Authors: Wilson Fiona 
Published: July 2021

PurposeThe purpose of this research was to understand the lived experience of mentoring to provide insight for those who manage and experience mentoring at work.Design/methodology/approachSemi-structured interviews with a cohort of 43 mentors and their mentees plus key informants were conducted. It is a longitudinal qualitative study undertaken with a year's cohort of mentors (referred to as “devilmasters”) and mentees (“devils”) in the profession of law, amongst Scottish barristers, advocates.FindingsThe meanings of mentoring differed widely between individuals. Mentoring relationships differed in their depth, quality and benefits the mentees received. The research findings reveal the inconsistencies and inequalities that are a fundamental part of the experience of mentoring that, as yet, the research literature has missed. The research also revealed how mentoring alone was not enough and that structured training was required to supplement mentoring. Further, there is a dependency to be found in mentoring. The mentoring process is power laden.Research limitations/implicationsResearchers may need to provide a definition of mentoring to those they research. Power needs to be fore-grounded in research.Originality/valueAs almost all previous research on mentoring is survey based, this is one of the few studies of the lived experience of mentoring, socialization and cognitive apprenticeship.