bluuebunny/crossref_metadata_2025_split huggingface dataset:
TGS1: a novel regulator of β-cell mass and function
Authors: Blandino-Rosano Manuel , Llacer Pau Romaguera , Lin Ashley , Reddy Janardan K , Bernal-Mizrachi Ernesto 
Published: September 2021

ABSTRACTType 2 diabetes (T2D) is a metabolic disorder associated with abnormal glucose homeostasis and is characterized by intrinsic defects in β-cell function and mass. Trimethylguanosine synthase 1 (TGS1) is an evolutionarily conserved enzyme that methylates small nuclear and nucleolar RNAs (snRNAs and snoRNAs) and is involved in pre-mRNA splicing, transcription, and ribosome production. However, the role of TGS1 in β-cells and glucose homeostasis had not been explored. Here we show that TGS1 is upregulated by insulin and upregulated in islets from mice exposed to a high-fat diet and in human β-cells from T2D donors. Using mice with conditional (βTGS1KO and βTGS1Het) and inducible (MIP-CreERT-TGS1KO) TGS1 deletion, we determine that TGS1 regulates β-cell mass and function. Unbiased approaches allowed us to identify a link between TGS1 and ER stress and cell cycle arrest and how TGS1 regulates β-cell apoptosis. Deletion of TGS1 results in an increase in the unfolded protein response by increasing XBP-1, ATF-4, and the phosphorylation of eIF2α, and several changes in cell cycle inhibitors and activators such as p27 and Cyclin D2. This study establishes TGS1 as a key player regulating β-cell mass and function as well as playing a role in the adaptive β-cell function to a high-fat diet. These observations can be used as a stepping-stone for the design of novel strategies using TGS1 as a therapeutic target for the treatment of diabetes.
Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy
Authors: Rezaei Nasab Seyed Sajad , Tayefi Nasrabadi Abbasali , Asadi Somayeh , Haj Seiyed Taghia Seiyed Ali 
Published: September 2021

PurposeDue to technological improvement and development of the vehicle-to-home (V2H) concept, electric vehicle (EV) can be considered as an active component of net-zero energy buildings (NZEBs). However, to achieve more dependable results, proper energy analysis is needed to take into consideration the stochastic behavior of renewable energy, energy consumption in the building and vehicle use pattern. This study aims to stochastically model a building integrating photovoltaic panels as a microgeneration technology and EVs to meet NZEB requirements.Design/methodology/approachFirst, a multiobjective nondominated sorting genetic algorithm (NSGA-II) was developed to optimize the building energy performance considering panels installed on the façade. Next, a dynamic solution is implemented in MATLAB to stochastically model electricity generation using solar panels as well as building and EV energy consumption. Besides, the Monte Carlo simulation method is used for quantifying the uncertainty of NZEB performance. To investigate the impact of weather on both energy consumption and generation, the model is tested in five different climatic zones in Iran.FindingsThe results show that the stochastic simulation provides building designers with a variety of convenient options to select the best design based on level of confidence and desired budget. Furthermore, economic evaluation signifies that investing in all studied cities is profitable.Originality/valueConsidering the uncertainty in building energy demand and PV power generation as well as EV mobility and the charging–discharging power profile for evaluating building energy performance is the main contribution of this study.
A multifractal detrended fluctuation analysis of housing market: a role of financial crises in developed economies
Authors: Raza Syed Ali , Shah Nida , Suleman Muhammad Tahir , Al Mamun Md 
Published: September 2021

Purpose
This study aims to examine the house price fluctuations in G7 countries by using the multifractal detrended fluctuation analysis (MF-DFA) for the years 1970–2019. The study examined the market efficiency between the short-term and long-term in the full sample period, before and after the global financial crisis period.

Design/methodology/approach
This study uses the MF-DFA to analyze house price fluctuations.

Findings
The findings confirmed that the housing market series are multifractal. Furthermore, all the markets showed long-term persistence in both the short and long-term. The USA is identified as the most persistent house market in the short run and Japan in the long run. Moreover, in terms of efficiency, Canada is identified as the most efficient house market in the long run and the UK in the short run. Finally, the result of before and after the financial crisis period is consistent with the full sample result.

Originality/value
The contribution of this study in the literature is fourfold. This is the first study that has examined the house prices efficiency by using the MF-DFA technique given by Kantelhardt et al. (2002). Previously, the house market prices and efficiency has been investigated using generalized Hurst exponent (Liu et al., 2019), Quantile Regression Approach (Chae and Bera, 2019; Tiwari et al., 2019) but no study to the best of the knowledge has been done that has used the MF-DFA technique on the housing market. Second, this is the first study that has focused on the house markets of G7 countries. Third, this study explores the house market efficiency by dividing the market into two periods i.e. before and after the financial crisis. The study strives to investigate if the financial crisis determines the change in the degree of market efficiency or not. Finally, the study gives valuable insights to the investors that will help them in their investment decisions.
A comparative analysis of green-lean-six sigma enablers and environmental outcomes: a natural resource-based view
Authors: Farrukh Amna , Mathrani Sanjay , Sajjad Aymen 
Published: September 2021

Purpose
Despite differing strategies towards environmental sustainability in developed and developing nations, the manufacturing sector in these regional domains faces substantial environmental issues. The purpose of this study is to examine the green-lean-six sigma (GLSS) enablers and outcomes for enhancing environmental sustainability of manufacturing firms in both, a developed and developing country context by using an environment-centric natural resource-based view (NRBV).

Design/methodology/approach
First, a framework of GLSS enablers and outcomes aligned with the NRBV strategic capabilities is proposed through a systematic literature review. Second, this framework is used to empirically investigate the GLSS enablers and outcomes of manufacturing firms through in-depth interviews with lean six sigma and environmental consultants from New Zealand (NZ) and Pakistan (PK) (developed and developing nations).

Findings
Analysis from both regional domains highlights the use of GLSS enablers and outcomes under different NRBV capabilities of pollution prevention, product stewardship and sustainable development. A comparison reveals that NZ firms practice GLSS to comply with environmental regulatory requirements, avoid penalties and maintain their clean-green image. Conversely, Pakistani firms execute GLSS to reduce energy use, satisfy international customers and create a green image.

Practical implications
This paper provides new insights on GLSS for environmental sustainability which can assist industrial experts and academia for future strategies and research.

Originality/value
This is one of the early comparative studies that has used the NRBV to investigate GLSS enablers and outcomes in manufacturing firms for enhancing environmental performance comparing developed and developing nations
Manipulation and performance persistence: an examination of Iranian equity mutual fund performance
Authors: Hosseini Mahsa , Khodaei Valahzaghard Mohammad , Saeedi Ali 
Published: September 2021

Purpose
This paper aims to study manipulation and performance persistence in equity mutual funds. To this end, Manipulation-Proof Performance Measure (MPPM) and Doubt Ratio, along with a number of current performance measures are used to evaluate the performance of equity mutual funds in Iran.

Design/methodology/approach
The authors investigate performance manipulation by 1) comparing the results of the MPPM with the current performance measures, 2) checking the Doubt Ratio to detect suspicious funds. Additionally, the authors investigate performance persistence by forming and evaluating portfolios of the equity mutual funds at several time horizons.

Findings
The authors conclude that there is no evidence of performance manipulation in the equity mutual funds. Additionally, when comparing the performance of the upper (top) tertile portfolios and the lower tertile portfolios, in all of the studied 1, 3, 6 and 12-month horizons, the authors find performance persistence in the equity mutual funds.

Originality/value
To the best of the authors’ knowledge, this research is the first study to investigate the performance manipulation in the Iranian equity mutual funds, and also is the first study in Iran that uses the MPPM and the Doubt Ratio in addition to a number of current performance measures to investigate the performance persistence in the equity mutual funds at several time horizons.
Hot interpretations of difficult heritage: the Memorial Hall of the Nanjing Massacre in China
Authors: Zhu Yujie 
Published: September 2021

PurposeThe purpose of this paper is to examine the construction of national heritage through the interpretation of sites and events, with a particular focus on hot interpretation at difficult heritage sites. Design/methodology/approachThis paper examines the processes of difficult heritage interpretation at the Memorial Hall of the Nanjing Massacre over the past 30 years, and examines the resulting political implications.FindingsAligning with contemporary national social and political agendas, heritage interpretation at the Memorial Hall actively serves as an authorised educational tool. Despite the hot interpretation techniques used to stimulate the emotional impact of visitor experiences, this particular traumatic past has been utilised in nation building practices that legitimise specific histories and form a national image on an international stage.Research limitations/implicationsHeritage interpretation of difficult history will benefit from open dialogue and assessment of the past from multiple perspectives. This requires all stakeholders to work together to develop interpretation strategies that acknowledge and prioritise the needs of post-conflict societies. Without this form of open dialogue and reflection, the official claims of heritage interpretation achieving reconciliation between conflicted peoples remain superficial. Originality/valueThis study offers a novel contribution to the discussion of heritage interpretation. The results shed light on the cultural processes surrounding state interpretation of traumatic pasts for specific political uses. The study suggests ways in which heritage sectors and authorities can achieve social goals, such as public education, reconciliation and peacebuilding, through such processes of heritage interpretation.
Determinants of foreign direct investment inflow to the agricultural sector: a panel-data analysis
Authors: Zeytoonnejad Mousavian Seyed Reza , Mirdamadi Seyyed Mehdi , Farajallah Hosseini Seyed Jamal , Omidi NajafAbadi Maryam 
Published: September 2021

PurposeForeign Direct Investment (FDI) is an important means of boosting the agricultural sectors of developing economies. The first necessary step to formulate effective public policies to encourage agricultural FDI inflow to a host country is to develop a comprehensive understanding of the main determinants of FDI inflow to the agricultural sector, which is the main objective of the present study.Design/methodology/approachIn view of this, we take a comprehensive approach to exploring the macroeconomic and institutional determinants of FDI inflow to the agricultural sector by examining a large panel data set on agricultural FDI inflows of 37 countries, investigating both groups of developed and developing countries, incorporating a large list of potentially relevant macroeconomic and institutional variables, and applying panel-data econometric models and estimation structures, including pooled, fixed-effects and random-effects regression models.FindingsThe general pattern of our findings implies that the degree of openness of an economy has a negative effect on FDI inflows to agricultural sectors, suggesting that the higher the degree of openness in an economy, the lower the level of agricultural protection against foreign trade and imports, and thus the less incentive for FDI to inflow to the agricultural sector of the economy. Additionally, our results show that economic growth (as an indicator of the rate of market-size growth in the host economy) and per-capita real GDP (as an indicator of the standard of living in the host country) are both positively related to FDI inflows to agricultural sectors. Our other results suggest that agricultural FDI tends to flow more to developing countries in general and more to those with higher standards of living and income levels in particular.Originality/valueFDI inflow has not received much attention with respect to the identification of its main determinants in the context of agricultural sectors. Additionally, there are very few panel-data studies on the determinants of FDI, and even more surprisingly, there are no such studies on the main determinants of FDI inflow to the agricultural sector. We have taken a comprehensive approach by studying FDI inflow variations across countries as well as over time.
Job satisfaction, expected retirement financial insufficiency, and the expected retirement age of the entrepreneurs: an attraction-selection-attrition theory perspective
Authors: Qu Jingjing 
Published: September 2021

Purpose
Underpinned by the attraction-selection-attrition theory, this paper aims to investigate the impact of entrepreneurship on an individual’s expected retirement age and explore how job satisfaction and expected retirement financial insufficiency (ERFI) as key factors can explain that.

Design/methodology/approach
A framework including direct and indirect relationships among key factors is empirically tested by using a pooled data sets consists of 13,420 individuals from the UK Household Longitudinal Survey, the analysis uses the entropy balance matching method and combined with quasi-bayesian monte Carlo method and hierarchy regressions to enhance the robustness of results.

Findings
The research finds entrepreneurs plan to retire later than organizational employees. In addition, a strong mediating impact of job satisfaction and moderating role of ERFI on the relationship between entrepreneurship and expected retirement age is verified.

Originality/value
The theoretical perspective and findings offer a novel insight into the research on entrepreneurs’ decision of retirement. The findings suggest entrepreneurs as crucial policy stakeholders contribute to retirement deferment should be valued. Effective interventions could be delicately designed in the future to unleash the potential of entrepreneurship in dealing with aging challenges.
Fashioning tourism future for visiting large cities
Authors: Lee Louisa Yee Sum 
Published: September 2021

PurposeLarge cities are and will continue to become important tourism destinations in foreseeable future. Tourists' motives of the present is the prognosis for their future tourists' behavior. In respond to the longstanding critics in city tourism study, the present research aims to examine the underlying motives of tourists visiting large cities and offer insights into fashioning tourism future for visiting large cities. The identified motives inform three distinct implications fashioning tourism future of large cities.Design/methodology/approachA quantitative investigation was performed by surveying city tourists. Measurements on the survey form were derived from both scholarly and grey literature in relation to tourists' motivations. 326 valid questionnaires were netted to attain the study aim. Three-quarters of respondents were from Europe, Australia and Pacific. Descriptive analysis and exploratory factor analysis were conducted to achieve the research aims.FindingsFive underlying motives of tourists visiting large cities were revealed: shopping indulgence, urban commons, city icons, cultural and lifestyle and personal advancement. Mapping the findings with a conceptual scheme depicting tourism product in destination, the author revealed a new dimension, urbanity and offered critical reflection on three implications for the tourism future of large cities.Originality/valueLiterature examining city tourists' motives neglect the context-specific measurements while administering the investigation. The research design embraces the urban-specific measurements in the data collection tool, contributing to deeper understanding on how tourism functions in cities. A new dimension, urbanity, which illustrates tourists' motives exclusive in large cities, was identified. Furthermore, three implications fashioning tourism future of large cities are revealed with the support of empirical evidence.
Austerity, skill, and gendered work in Kazakhstan's heavy industry
Authors: Kesküla Eeva 
Published: September 2021

AbstractEarlier analyses have demonstrated the loss of industrial worker autonomy and the rise of deskilling after production is automated. But what happens to autonomy and skill in times of austerity, when automation breaks down? Through studying the labour process in a Kazakhstani coal processing plant, I explore how the lack of investment in machinery and staff influences the way female workers conduct their everyday work. Workers are simultaneously reskilled and exhausted by invisible extra maintenance work, with their gendered dispositions drawn on as a resource. Ethnographies of the economic crisis and austerity have so far paid little attention to the transformation of everyday industrial work. This ethnography makes a distinctive contribution by shifting the focus on to an embodied and detailed analysis of industrial work in austerity, developing ideas of gendered maintenance, repair, and skill.
Metastatic invasive lobular breast cancer presenting as linitis plastica of the colon: Tumour characterization using [18F]FES PET/MRI
Authors: Tsujikawa Tetsuya , Takahashi Mizuho , Maeda Hiroyuki , Mori Tetsuya , Makino Akira , Kiyono Yasushi , Imamura Yoshiaki , Goi Takanori , Okazawa Hidehiko 
Published: September 2021

AbstractMetastatic invasive lobular breast cancer (ILC) to the colon is rare and usually ER‐positive. We present an ER‐negative case of metastatic ILC presenting as linitis plastica of the colon where [18F]FES PET/MRI allowed the evaluation of the ER phenotypic transformation in the colonic metastasis from the ER‐positive breast ILC in vivo.
Drone Use for COVID‐19 Related Problems: Techno‐solutionism and its Societal Implications
Authors: Martins Bruno Oliveira , Lavallée Chantal , Silkoset Andrea 
Published: September 2021

AbstractDrones have been widely used by public authorities during the COVID‐19 pandemic for pandemic‐related problems. As an innovative tool with a wide range of potentialities, they have been deemed suitable for an exceptional situation marked by the persistence of social distance. Yet, the turn to new technology to solve complex problems is a political decision that has broad societal implications, especially in the context of declared states of emergency. In the article we argue that the extensive use of drones by national authorities during the COVID‐19 pandemic has generated a new socio‐technical assemblage of actors, technologies and practices. Building on the three main uses of drones as responses to specific pandemic‐related challenges (disinfection, delivery, and surveillance), we analyse the actors and the practices involved in this new socio‐technical assemblage. From the empirical material, we explore potential effects of drone uses on key issues such as the technology regulatory processes, public acceptance, and security and safety concerns.
Fast computation of deep neural network and its real‐time implementation for image recognition
Authors: Hsia Shih‐Chang , Wang Szu‐Hong , Kuo Feng‐Yang 
Published: September 2021

AbstractThe convolution is widely used for deep neural networks to extract the key features, which requires many additions and multiplications. In this study, the fast computational algorithm is presented to reduce the number of arithmetic when the accuracy is kept. The order of deep convolution is alternative to save the computational operators. To verify the performance, the proposed algorithm is embedded to the typical deep neural network VggNet. The structure of VggNet is further modified using the proposed summation and concatenation techniques to improve the computational accuracy and to reduce the processing time. Compared with the original VggNet, the simulations show that the operational FLOPs can be greatly reduced at least 50% with various datasets testing. Besides, the training time with epoch per batch can save about 10%–20%. The proposed fast algorithm can lessen the parameters and the mode size over 90%. The recognition accuracy can be improved with 1%–4% from various datasets testing. Based on the fast network, real‐time FPGA had been realized, which the hardware performance can achieve 371 GOPs with 642 DSP cores. The processing speed can achieve near to 1 k frames per second, and the real‐time recognition rate can achieve over 90%.
Leaning to the disadvantaged or pursuing maximum utility? The allocation of intergenerational relationship resources in Chinese families with multiple children
Authors: Li Ting , Jin Yongai 
Published: September 2021

AbstractObjectiveThis study examines the general patterns of intergenerational relationships in Chinese extended families and tests two competing viewpoints that explain how intergenerational relationship resources are coordinated within the family: pursuing maximum economic utility versus leaning toward the disadvantaged family members.MethodsBy using a national representative survey of older population, we constructed four intergenerational relationship types and conducted hierarchical multinomial logistic analyses to test the hypotheses.ResultsThe results showed that tightknit and loose relationship types shared 72% of the four types, reflecting a strong intergenerational solidarity among Chinese families. Parents with higher socioeconomic and health status tend to form closer relationships with their less accomplished children. However, when parents have poorer status in either socioeconomic or health factors, they would have a tighter relationship with their more accomplished children.ConclusionsThese results support the second viewpoint that Chinese families primarily respond to the immediate needs of vulnerable members with a possible sacrifice of economic efficiency. The finding further suggests that Chinese extended families still serve as safety nets to guarantee the basic needs of its members and provide important resources to manage external social risks.ImplicationsThe study contributes to the theoretical literature by adopting a collective family perspective and advances the understanding of how Chinese extended families are organized. It also has important implications that policies aiming to strengthen family solidarity should be adopted to support long‐term development of families, which is crucial for Chinese society to cope with the challenges of rapid population aging.