bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reprogramming the neuroblastoma epigenome with a mitochondrial uncoupler
Authors: Jiang Haowen , Greathouse Rachel L , He Bo , Li Yang , Li Albert M. , Forgo Balint , Yip Michaela , Li Allison , Shih Moriah , Banuelos Selene , Zhou Meng-Ning , Gruber Joshua J. , Shimada Hiroyuki , Chiu Bill , Ye Jiangbin 
Published: September 2021

AbstractDysregulated DNA methylation is associated with poor prognosis in cancer patients, promoting tumorigenesis and therapeutic resistance1. DNA methyltransferase inhibitors (DNMTi) reduce DNA methylation and promote cancer cell differentiation, with two DNMTi already approved for cancer treatment2. However, these drugs rely on cell division to dilute existing methylation, thus the ‘demethylation’ effects are achieved in a passive manner, limiting their application in slow-proliferating tumor cells. In this study we use a mitochondrial uncoupler, niclosamide ethanolamine (NEN), to actively achieve global DNA demethylation. NEN treatment promotes DNA demethylation by activating electron transport chain (ETC) to produce α-ketoglutarate (α-KG), a substrate for the DNA demethylase TET. In addition, NEN inhibits reductive carboxylation, a key metabolic pathway to support growth of cancer cells with defective mitochondria or under hypoxia. Importantly, NEN treatment reduces 2-hydroxyglutarate (2-HG) generation and blocks DNA hypermethylation under hypoxia. Together, these metabolic reprogramming effects of NEN actively alter the global DNA methylation landscape and promote neuroblastoma differentiation. These results not only support Warburg’s original hypothesis that inhibition of ETC causes cell de-differentiation and tumorigenesis, but also suggest that mitochondrial uncoupling is an effective metabolic and epigenetic intervention that remodels the tumor epigenome for better prognosis.
History-Dependent Physiological Adaptation to Lethal Genetic Modification under Antibiotic Exposure
Authors: Koganezawa Yuta , Umetani Miki , Sato Moritoshi , Wakamoto Yuichi 
Published: September 2021

AbstractGenetic modifications, such as gene deletion and mutations, could lead to significant changes in physiological states or even cell death. Bacterial cells can adapt to diverse external stresses, such as antibiotic exposure, but can they also adapt to detrimental genetic modification? To address this issue, we visualized the response of individual Escherichia coli cells to deletion of the antibiotic resistance gene under chloramphenicol (Cp) exposure, combining the light-inducible genetic recombination and microfluidic long-term single-cell tracking. We found that a significant fraction (∼ 40%) of resistance-gene-deleted cells demonstrated a gradual restoration of growth and stably proliferated under continuous Cp exposure without additional mutations. Such physiological adaptation to genetic modification was not observed when the deletion was introduced in 10 h or more advance before Cp exposure. Resistance gene deletion under Cp exposure disrupted the stoichiometric balance of ribosomal large and small subunit proteins (RplS and RpsB). However, the balance was gradually recovered in the cell lineages with restored growth. These results demonstrate that bacterial cells can adapt even to lethal genetic modifications by plastically gaining physiological resistance. However, the access to the resistance states is limited by the environmental histories and the timings of genetic modification.
Allosteric cooperation in ß-lactam binding to a non-classical transpeptidase
Authors: Ahmad Nazia , Kachhap Sangita , Chauhan Varsha , Sharma Kunal , Juneja Pallavi , Bullen C. Korin , Borowski Tomasz , Bishai William R. , Lamichhane Gyanu , Kumar Pankaj 
Published: September 2021

ABSTRACTMycobacterium tuberculosis peptidoglycan (PG) is atypical as its synthesis involves a new enzyme class, L,D-transpeptidases. Prior studies of L,D-transpeptidases have identified only the catalytic site that binds to peptide moiety of the PG substrate or ß-lactam antibiotics. This insight was leveraged to develop mechanism of its activity and inhibition by ß-lactams. Here we report identification of an allosteric site at a distance of 21 Å from the catalytic site that binds the sugar moiety of PG substrates (hereafter referred to as the S-pocket). This site also binds a second ß-lactam molecule and influences binding at the catalytic site. We provide evidence that two ß-lactam molecules bind co-operatively to this enzyme, one non-covalently at the S-site and one covalently at the catalytic site. This dual ß-lactam binding phenomenon is previously unknown and is an observation that may offer novel approaches for the structure-based design of new ß-lactam antibiotics for M. tuberculosis.
Tool workspace consideration for assembly plan generation
Authors: Bedeoui Akram , Ben Hadj Riadh , Hammadi Moncef , Aifaoui Nizar 
Published: September 2021

Purpose
During the design of a new product, the generation of assembly sequences plans (ASPs) has become one of the most important problems taken into account by researchers. In fact, a good mounting order allows the time decrease of the assembly process which leads to the reduction of production costs. In this context, researchers developed several methods to generate and optimize ASP based on various criteria. Although this paper aims to improve the quality of ASP it is necessary to increase the number of criteria which must be taken into account when generating ASPs.

Design/methodology/approach
In this paper, an ASP generation approach, which is based on three main algorithms, is proposed. The first one generates a set of assembly sequences based on stability criteria. The obtained results are treated by the second algorithm which is based on assembly tools (ATs) workspace criterion. An illustrative example is used to explain the different steps of this proposed approach. Moreover, a comparative study is done to highlight its advantages.

Findings
The proposed algorithm verifies, for each assembly sequence, the minimal required workspace of used AT and eliminates the ASPs non-respecting this criterion. Finally, the remaining assembly sequences are treated by the third algorithm to reduce the AT change during the mounting operation.

Originality/value
The proposed approach introduces the concept of AT workspace to simulate and select ASPs that respect this criterion. The dynamic interference process allows the eventual collision detection between tool and component and avoids it. The proposed approach reduces the AT change during the mounting operations.
Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia
Authors: Utami Ema , Oyong Irwan , Raharjo Suwanto , Dwi Hartanto Anggit , Adi Sumarni 
Published: September 2021

PurposeGathering knowledge regarding personality traits has long been the interest of academics and researchers in the fields of psychology and in computer science. Analyzing profile data from personal social media accounts reduces data collection time, as this method does not require users to fill any questionnaires. A pure natural language processing (NLP) approach can give decent results, and its reliability can be improved by combining it with machine learning (as shown by previous studies).Design/methodology/approachIn this, cleaning the dataset and extracting relevant potential features “as assessed by psychological experts” are essential, as Indonesians tend to mix formal words, non-formal words, slang and abbreviations when writing social media posts. For this article, raw data were derived from a predefined dominance, influence, stability and conscientious (DISC) quiz website, returning 316,967 tweets from 1,244 Twitter accounts “filtered to include only personal and Indonesian-language accounts”. Using a combination of NLP techniques and machine learning, the authors aim to develop a better approach and more robust model, especially for the Indonesian language.FindingsThe authors find that employing a SMOTETomek re-sampling technique and hyperparameter tuning boosts the model’s performance on formalized datasets by 57% (as measured through the F1-score).Originality/valueThe process of cleaning dataset and extracting relevant potential features assessed by psychological experts from it are essential because Indonesian people tend to mix formal words, non-formal words, slang words and abbreviations when writing tweets. Organic data derived from a predefined DISC quiz website resulting 1244 records of Twitter accounts and 316.967 tweets.
Organizational identification and employees’ innovative behavior: the mediating role of work engagement and the moderating role of creative self-efficacy
Authors: Zhang Guangning , Wang Yingmei 
Published: September 2021

Purpose
This study aims to investigate the effect of organizational identification to employees’ innovative behavior, the mediating role of work engagement and the moderating role of creative self-efficacy in the relationship between organizational identification and employees’ innovative behavior.

Design/methodology/approach
This study adopted questionnaires to gather data. The sample of 289 employees working in diverse organizations in China was applied to examine the hypotheses.

Findings
The results indicates that organizational identification is positively related to employees’ innovative behavior and work engagement mediates the relationship between organizational identification and employees’ innovative behavior. In addition, creative self-efficacy enhances the relationship of work engagement and employees’ innovative behavior.

Originality/value
This study builds a system from psychological aspect to behavior, which includes the effect of individual cognition to explain the mechanism of organizational identification on employees’ innovative behavior.
Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames
Authors: Jiang Xiao , Chan Tat Leung 
Published: September 2021

Purpose
The purpose of this paper is to study the soot formation and evolution by using this newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method.

Design/methodology/approach
The weighted soot particles are used in this MC framework and is tracked using Lagrangian approach. A detailed soot model based on the LPT-WFMC method is used to study the soot formation and evolution in ethylene laminar premixed flames.

Findings
The LPT-WFMC method is validated by both experimental and numerical results of the direct simulation Monte Carlo (DSMC) and Multi-Monte Carlo (MMC) methods. Compared with DSMC and MMC methods, the stochastic error analysis shows this new LPT-WFMC method could further extend the particle size distributions (PSDs) and improve the accuracy for predicting soot PSDs at larger particle size regime.

Originality/value
Compared with conventional weighted particle schemes, the weight distributions in LPT-WFMC method are adjustable by adopting different fraction functions. As a result, the number of numerical soot particles in each size interval could be also adjustable. The stochastic error of PSDs in larger particle size regime can also be minimized by increasing the number of numerical soot particles at larger size interval.
Effects of quality coffee production on smallholders’ adaptation to climate change in Yirgacheffe, Southern Ethiopia
Authors: Adane Asnake , Bewket Woldeamlak 
Published: September 2021

Purpose
The purpose of this paper was to assess the effects of quality coffee production on climate change adaptation using household surveys and interview data gathered from coffee farmers in Yirgacheffe, southern Ethiopia.

Design/methodology/approach
A sample of 352 households, stratified into conventional coffee farmers 232 (66%) and specialty coffee producers 120(34%), was used. The propensity score model for participating in quality coffee production was estimated using 14 covariates, and the impact of quality coffee production on adaptation to climate change adaptation was examined. The results are augmented with qualitative data collected through focus group discussions and key informant interviews held with randomly selected smallholder farmers. A telecoupling theoretical perspective was used to understand the link between coffee farmers’ adaptation practices and the demand for quality coffee, as coffee is a global commodity.

Findings
The PSM analysis reveals that quality coffee production positively influences climate change adaptation. This implies that conventional coffee producers would have performed better in adaptation to climate change if they had participated in quality coffee production. The results of group discussions also confirm the positive effects of quality coffee production on adaptation to climate change, which also suggests a positive spillover effects for sustainable coffee farm management.

Practical implications
This study suggests enhancing quality coffee production is essential if a more sustainable and climate change resilient coffee livelihood is envisioned.

Originality/value
Though many studies are available on adaptation to climate change in general, this study is one of the few studies focusing on the effects of quality coffee production on climate change adaptation by smallholders in one of the least developed countries, Ethiopia. This study provides a better understanding of the importance of adaptation strategies specific to coffee production, which in turn help develop a more resilient coffee sector, as coffee production is one of the most sensitive activity to climate change.
The thematic evolution of customer engagement research: a comparative systematic review and bibliometric analysis
Authors: So Kevin Kam Fung , Kim Hyunsu , King Ceridwyn 
Published: September 2021

Purpose
This study aims to serve as an important resource for customer engagement (CE) researchers by presenting a comprehensive, up-to-date and objective assessment of the status and evolution of the CE literature. This purpose is achieved through simultaneous consideration and separate analyses of both the marketing/service and hospitality/tourism literature where CE research dominates.

Design/methodology/approach
This study integrated three review techniques, including a systematic review technique, evaluative technique and relational technique, to present a state-of-the-art analysis of 236 articles. It provides an updated picture of scientific research on CE, as well as the thematic evolution and structure of the CE literature across the two disciplines.

Findings
Through a comprehensive review of the CE literature in marketing/service and hospitality/tourism domains, the present study findings build a robust foundation to evaluate how this strand of literature has developed and evolved over time. More importantly, a comparative and quantitative analysis of marketing/service and hospitality/tourism journals delivers actionable insight for hospitality and tourism scholars.

Research limitations/implications
This study reframes the scientific knowledge regarding the evolution of CE literature, along with interrelation patterns, to advance relevant studies in hospitality and tourism. Findings offer a broadened perspective on the concept’s scholarly development and current research trends, thereby charting a new path for future research.

Originality/value
By adopting three review techniques, to the best of the authors’ knowledge, this state-of-the-art analysis is the first to compare and synthesize a large volume of marketing/service and hospitality/tourism research, assembling a springboard from which to evaluate how CE studies have developed.
An organizational analysis of how managers must understand the mental health impact of teleworking during COVID-19 on employees
Authors: Shipman Kristine , Burrell Darrell Norman , Huff Mac Pherson Allison 
Published: September 2021

Purpose
The unimagined workplace disturbance caused by the Coronavirus, also known as COVID-19, has made many organizations virtual or telework driven workplaces, often without the infrastructure and systems in place to support employees facing these sudden workplace changes (Burrell, 2020). Many stressors accompanied this transition, to include lack of childcare, home-school responsibilities and layoffs and business closings. These stressors have perpetuated concerns for the job and financial security for all workers (Fox, 2020), leading some employees to struggle with the work-life balance out of concern for being laid off due to perceived low productivity (Fox, 2020). This study aims to explore those manifestations.

Design/methodology/approach
This qualitative research case study explores the impact COVID-19 induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment to fill a gap in the literature concerning emerging workplace dynamics due to COVID-19 for small real estate businesses in the USA.

Findings
The results of this qualitative research case study provide knowledge and information about the need for small businesses to be resourceful and resilient in the way that they support and engage remote workers. This qualitative research case study explores the impact COVID-19-induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment for small real estate businesses. The analysis of current work-life structures through a qualitative lens provides trends among workers to gain a greater perspective of the current accelerators and barriers to worker success in a COVID-19 teleworking environment.

Originality/value
This qualitative research case study explores the impact COVID-19 induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment to fill a gap in the literature concerning emerging workplace dynamics due to COVID-19 for small real estate businesses. The value of this research is that majority of the participants were African-Americans, which represents a participant group that is highly under researched.
A knowledge-based view of analytics capability in purchasing and supply management
Authors: Öhman Mikael , Arvidsson Ala , Jonsson Patrik , Kaipia Riikka 
Published: September 2021

PurposeThe purpose of this study is to elaborate on how analytics capability develops within the PSM function. This study is an in-depth exploration of how analytics capability develops within the purchasing and supply management (PSM) function.Design/methodology/approachA multiple case study was conducted of the PSM function of six case firms, in which primary data were collected through semi-structured interviews with PSM analytics stakeholders. The data were analyzed based on an analytics capability framework derived from the literature. Cases were chosen based on them having advanced PSM practices and ongoing analytics projects in the PSM area.FindingsThe findings shed light on how the firms develop their analytics capability in the PSM functional area. While we identify several commonalities in this respect, the authors also observe differences in how firms organize for analytics, bringing analytics and PSM decision-makers together. Building on the knowledge-based view of the firm, The authors offer a theoretical explanation of our observations, highlighting the user-driven side of analytics development, which has largely been unrecognized by prior literature. The authors also offer an explanation of the observed dual role that analytics takes in cross-functional initiatives.Research limitations/implicationsThe exploratory nature of our study limits the generalizability of our results. Further, our limited number of cases and interviewees indicate that there is still much to explore in the phenomenon of developing analytics capability.Practical implicationsOur findings can help firms gain a better understanding of how they could develop their analytics capability and what issues they need to consider when seeking leveraging data through analytics for PSM decisions.Originality/valueThis paper is, to the best knowledge of the authors, the first empirical study of analytics capability in PSM.
A global marketing logic: local stakeholders’ influence in diverse emerging markets
Authors: Elg Ulf , Ghauri Pervez Nasim 
Published: September 2021

PurposeThe authors discuss a dominant logic as the main idea behind a global marketing logic (GML) of an MNE and investigate how local stakeholders’ influence the feasibility of applying the GML in emerging markets. The aim of the paper is to enhance the understanding of the factors that influence the local stakeholders' acceptance of the MNEs' GML and the different activities of MNEs that may increase the acceptance.Design/methodology/approachThe authors apply a qualitative case study method investigating three Swedish MNEs and their activities while implementing a GML in the big emerging markets. The authors study their relationships with business, political and social stakeholders.FindingsThe authors identify three persistent contents of the GML: (1) a consistent value chain role across markets, (2) standardized, premium products/services and promotion strategies, (3) a corporate brand-based identity. The development of trust, commitment, legitimacy and power within local stakeholders’ relationships influences the approval. The acceptance of the MNE's GML by local stakeholders strengthens its market position.Originality/valueThe authors extend the knowledge by investigating the nature of a GML and explain to what extent it may help MNEs to gain a competitive position. The authors also discuss how global and local activities may influence local stakeholders' acceptance. This study contributes towards a better understanding of how and to what extent a GML can be successful.
The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view
Authors: Bahrami Mohamad , Shokouhyar Sajjad 
Published: September 2021

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.