bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient and Safe Method for Splenic Flexure Mobilization in Laparoscopic Left Hemicolectomy: A Propensity Score–weighted Cohort Study
Authors: Hsu Yu-Jen , Chern Yih-Jong , Jhuang Jing-Rong , Tsai Wen-Sy , Chiang Jy-Ming , Hung Hsin-Yuan , Tsai Tzong-yun , You Jeng-Fu
Published: December 2020

Background:

Because methods of performing laparoscopic left hemicolectomy differ between surgeons, standardizing the procedure is crucial to reduce complications and secure good oncologic outcomes.

Materials and Methods:

This is a retrospective hospital-based cohort study using a propensity score–weighted method. This study was conducted at the department of colorectal surgery in a tertiary teaching hospital between October 2007 and December 2017. The short-term and long-term outcomes of open and laparoscopic left hemicolectomy from 10 years of experience using a standardized 4-step laparoscopic procedure at one institution were compared. Short-term outcomes were postoperative morbidity and mortality. Long-term outcomes were disease-free survival and overall survival.

Results:

We enrolled 564 patients who underwent open or laparoscopic left hemicolectomy for primary colon adenocarcinoma. The open surgery and laparoscopy groups had 357 and 207 patients, respectively. Compared with the open surgery group, the laparoscopy group had significantly shorter hospital stays (open vs. laparoscopy, 10 vs. 7 d, P<0.001), less postoperative morbidity (open vs. laparoscopy, 16.5% vs. 9.2%, P<0.001), and lower risks of superficial surgical site infections, lung complications, and gastrointestinal complications. No differences were observed between the groups in postoperative mortality (open vs. laparoscopy, 0.6% vs. 0.0%, P=0.23), disease-free survival curves (P=0.69), or overall survival curves (P=0.85).

Conclusions:

Our standardized 4-step technique of laparoscopic left hemicolectomy is more efficient, has fewer surgical complications, and yields better short-term and similar long-term oncologic outcomes compared with open surgery.
Systematic Reviews: Understanding the Best Evidence For Clinical Decision-making in Health Care: Pros and Cons
Authors: Memon Muhammed A. , Khan Shahjahan , Alam Khorshed , Rahman Md Mizanur , Yunus Rossita M.
Published: December 2020

In the era of evidence-based decision-making, systematic reviews (SRs) are being widely used in many health care policies, government programs, and academic disciplines. SRs are detailed and comprehensive literature review of a specific research topic with a view to identifying, appraising, and synthesizing the research findings from various relevant primary studies. A SR therefore extracts the relevant summary information from the selected studies without bias by strictly adhering to the review procedures and protocols. This paper presents all underlying concepts, stages, steps, and procedures in conducting and publishing SRs. Unlike the findings of narrative reviews, the synthesized results of any SRs are reproducible, not subjective and bias free. However, there are a number of issues related to SRs that directly impact on the quality of the end results. If the selected studies are of high quality, the criteria of the SRs are fully satisfied, and the results constitute the highest level of evidence. It is therefore essential that the end users of SRs are aware of the weaknesses and strengths of the underlying processes and techniques so that they could assess the results in the correct perspective within the context of the research question.
Comparison of lncRNA and mRNA expression in mouse brains infected by a wild-type and a lab-attenuated Rabies lyssavirus
Authors: Sui Baokun , Chen Dong , Liu Wei , Tian Bin , Lv Lei , Pei Jie , Wu Qiong , Zhou Ming , Fu Zhen F. , Zhang Yi , Zhao Ling
Published: December 2020

Rabies is a lethal disease caused by Rabies lyssavirus, commonly known as rabies virus (RABV), and results in nearly 100 % death once clinical symptoms occur in human and animals. Long non-coding RNAs (lncRNAs) have been reported to be associated with viral infection. But the role of lncRNAs involved in RABV infection is still elusive. In this study, we performed global transcriptome analysis of both of lncRNA and mRNA expression profiles in wild-type (WT) and lab-attenuated RABV-infected mouse brains by using next-generation sequencing. The differentially expressed lncRNAs and mRNAs were analysed by using the edgeR package. We identified 1422 differentially expressed lncRNAs and 4475 differentially expressed mRNAs by comparing WT and lab-attenuated RABV-infected brains. Then we predicted the enriched biological pathways by the Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) database based on the differentially expressed lncRNAs and mRNAs. Our analysis revealed the relationships between lncRNAs and RABV-infection-associated immune response and ion transport-related pathways, which provide a fresh insight into the potential role of lncRNA in immune evasion and neuron injury induced by WT RABV.
Risk Factors for COVID-19-associated hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System
Authors: Ko Jean Y. , Danielson Melissa L. , Town Machell , Derado Gordana , Greenlund Kurt J. , Kirley Pam Daily , Alden Nisha B. , Yousey-Hindes Kimberly , Anderson Evan J. , Ryan Patricia A. , Kim Sue , Lynfield Ruth , Torres Salina M. , Barney Grant R. , Bennett Nancy M. , Sutton Melissa , Talbot H. Keipp , Hill Mary , Hall Aron J. , Fry Alicia M. , Garg Shikha , Kim Lindsay ,   COVID-NET Investigation Group
Published: December 2020

Background

Identification of risk factors for COVID-19-associated hospitalization is needed to guide prevention and clinical care.

Objective

To examine if age, sex, race/ethnicity, and underlying medical conditions is independently associated with COVID-19-associated hospitalizations.

Design

Cross-sectional.

Setting

70 counties within 12 states participating in the Coronavirus Disease 2019-Associated Hospitalization Surveillance Network (COVID-NET) and a population-based sample of non-hospitalized adults residing in the COVID-NET catchment area from the Behavioral Risk Factor Surveillance System.

Participants

U.S. community-dwelling adults (≥18 years) with laboratory-confirmed COVID-19-associated hospitalizations, March 1- June 23, 2020.

Measurements

Adjusted rate ratios (aRR) of hospitalization by age, sex, race/ethnicity and underlying medical conditions (hypertension, coronary artery disease, history of stroke, diabetes, obesity [BMI ≥30 kg/m2], severe obesity [BMI≥40 kg/m2], chronic kidney disease, asthma, and chronic obstructive pulmonary disease).

Results

Our sample included 5,416 adults with COVID-19-associated hospitalizations. Adults with (versus without) severe obesity (aRR:4.4; 95%CI: 3.4, 5.7), chronic kidney disease (aRR:4.0; 95%CI: 3.0, 5.2), diabetes (aRR:3.2; 95%CI: 2.5, 4.1), obesity (aRR:2.9; 95%CI: 2.3, 3.5), hypertension (aRR:2.8; 95%CI: 2.3, 3.4), and asthma (aRR:1.4; 95%CI: 1.1, 1.7) had higher rates of hospitalization, after adjusting for age, sex, and race/ethnicity. In models adjusting for the presence of an individual underlying medical condition, higher hospitalization rates were observed for adults ≥65 years, 45-64 years (versus 18-44 years), males (versus females), and non-Hispanic black and other race/ethnicities (versus non-Hispanic whites).

Limitations

Interim analysis limited to hospitalizations with underlying medical condition data.

Conclusion

Our findings elucidate groups with higher hospitalization risk that may benefit from targeted preventive and therapeutic interventions.
Rapid Detection of SARS-CoV-2 Antibodies Using Electrochemical Impedance-Based Detector
Authors: Rashed Mohamed Z. , Kopechek Jonathan A. , Priddy Mariah C. , Hamorsky Krystal T. , Palmer Kenneth E. , Mittal Nikhil , Valdez Joseph , Flynn Joseph , Williams Stuart J.
Published: December 2020

Emerging novel human contagious viruses and pathogens put humans at risk of hospitalization and possibly death due to the unavailability of vaccines and drugs which may take years to develop. Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was classified as a pandemic by theWorld Health Organization and has caused over 550,000 deaths worldwide as of July 2020. Accurate and scalable point-of-care devices would increase screening, diagnosis, and monitoringof COVID-19 patients. Here, we demonstrate rapid label-free electrochemical detection of SARS-CoV-2 antibodies using a commercially available impedance sensing platform. A 16-well plate containing sensing electrodes was pre-coated with receptor binding domain (RBD) of SARS-CoV-2 spike protein, and subsequently tested with samples of anti-SARS-CoV-2 monoclonal antibody CR3022 (0.1 μg/ml, 1.0 μg/ml, 10 μg/ml). Subsequent blinded testing was performed on six serum specimens taken from COVID-19 and non-COVID-19 patients (1:100 dilution factor). The platformwas able to differentiate spikes in impedance measurements from a negative control (1~ milk solution) for all CR3022 samples. Further, successful differentiation and detection of all positive clinical samples from negative control was achieved. Measured impedance values were consistent when compared to standard ELISA test results showing a strong correlation between them (R2 = 0:9). Detection occurs in less than five minutes and the well-based platform provides a simplified and familiar testing interface that can be readily adaptable for use in clinical settings.
Transcriptomic profiling and microsatellite identification in cobia (Rachycentron canadum), using high throughput RNA-sequencing
Authors: Barbosa David Aciole , Araújo Bruno C. , Souza Branco Giovana , Simeone Alexandre S. , Hilsdorf Alexandre W. S. , Jabes Daniela L. , Nunes Luiz R. , Moreira Renata G. , Menegidio Fabiano B.
Published: December 2020

Cobia (Rachycentron canadum) is a marine teleost species with great productive potential worldwide. However, the genomic information currently available for this species in public databases is limited. Such lack of information hinders gene expression assessments that might bring forward novel insights into the physiology, ecology, evolution, and genetics of this potential aquaculture species. In this study, we report the firstde novotranscriptome assembly ofR. canadumliver, improving the availability of novel gene sequences for this species. Illumina sequencing of liver transcripts generated 1,761,965,794 raw reads, which were filtered into 1,652,319,304 high-quality reads.De novoassembly resulted in 101,789 unigenes and 163,096 isoforms, with an average length of 950.61 and 1,617.34 nt, respectively. Moreover, we found that 126,013 of these transcripts bear potentially coding sequences, and 125,993 of these elements (77.3%) correspond to functionally annotated genes found in six different databases. We also identified 701 putative ncRNA and 35,414 putative lncRNA. Interestingly, homologues for 410 of these putative lncRNAs have already been observed in previous analyzes withDanio rerio,Lates calcarifer,Seriola lalandi dorsalis,Seriola dumeriliorEcheneis naucrates. Finally, we identified 7,894 microsatellites related to cobia’s putative lncRNAs. Thus, the information derived from the transcriptome assembly described herein will likely assist future nutrigenomics and breeding programs involving this important fish farming species.
Genomic basis of drought resistance inFagus sylvatica
Authors: Pfenninger Markus , Reuss Friederike , Kiebler Angelika , Schönnenbeck Philipp , Caliendo Cosima , Gerber Susanne , Cocchiararo Berardino , Reuter Sabrina , Blüthgen Nico , Mody Karsten , Mishra Bagdevi , Bálint Miklós , Thines Marco , Feldmeyer Barbara
Published: December 2020

In the course of global climate change, central Europe is experiencing more frequent and prolonged periods of drought. The drought years 2018 and 2019 affected European beeches (Fagus sylvaticaL.) differently: even in the same stand, drought damaged trees neighboured healthy trees, suggesting that the genotype rather than the environment was responsible for this conspicuous pattern. We used this natural experiment to study the genomic basis of drought resistance with Pool-GWAS. Contrasting the extreme phenotypes identified 106 significantly associated SNPs throughout the genome. Most annotated genes with associated SNPs (>70%) were previously implicated in the drought reaction of plants. Non-synonymous substitutions led either to a functional amino acid exchange or premature termination. A SNP-assay with 70 loci allowed predicting drought phenotype in 98.6% of a validation sample of 92 trees. Drought resistance in European beech is a moderately polygenic trait that should respond well to natural selection, selective management, and breeding.

Impact Statement

European beech harbours substantial genetic variation at genomic loci associated with drought resistance and the loci identified in this study can help to accelerate and monitor adaptation to climate change.
Network reconstruction and modelling made reproducible with moped
Authors: Saadat Nima P , van Aalst Marvin , Ebenhöh Oliver
Published: December 2020

Mathematical modeling of metabolic networks is a powerful approach to investigate the underlying principles of metabolism and growth. Such approaches include, amongst others, differential equation based modeling of metabolic systems, constraint based modeling and topological analysis of metabolic networks. Most of these methods are well established and are implemented in numerous software packages, but these are scattered between different programming languages, packages and syntaxes. This complicates establishing straight forward pipelines integrating model construction and simulation. We present the Python package moped which serves as an integrative hub for reproducible construction, modification, curation and analysis of metabolic models. moped supports draft reconstruction of models directly from genome/proteome sequences and path-way/genome databases utilizing GPR annotations, providing a completely reproducible model construction and curation process within executable Python scripts. Alternatively, existing models published in SBML format can be easily imported. Models are represented as Python objects, for which a wide spectrum of easy-to-use modification and analysis methods exist. The model structure can be manually altered by adding, removing or modifying reactions, and gap filling reactions can be found and inspected. This greatly supports the development of draft models, as well as the curation and testing of models. Moreover, moped provides several analysis methods, in particular including the calculation of biosynthetic capacities using metabolic network expansion. The integration with other Python based tools is facilitated through various model export options. For example, a model can be directly converted into a CobraPy object for constraint-based analyses. moped is a fully documented and expandable Python package. We demonstrate the capability to serve as a hub for integrating reproducible model construction and curation, database import, topological analysis and export for constraint-based analyses.
Genetic variability in COVID-19-related genes in the Brazilian population
Authors: Secolin Rodrigo , de Araujo Tânia K. , Gonsales Marina C. , Rocha Cristiane S. , Naslavsky Michel , De Marco Luiz , Bicalho Maria A.C. , Vazquez Vinicius L. , Zatz Mayana , Silva Wilson A. , Lopes-Cendes Iscia
Published: December 2020

SARS-CoV-2 employs the angiotensin-converting enzyme 2 (ACE2) receptor and the transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host genetic backgrounds inACE2andTMPRSS2could contribute to differences in the rate of infection or severity of COVID-19. Recent studies also showed that variants in 15 genes related to type I interferon immunity to influenza virus could predispose to life-threatening COVID-19 pneumonia. Additional genes (SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, IL6, CTSL, ABO, andFURIN) and HLA alleles have also been implicated in response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 patients worldwide. We aim to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analysed 27 candidate genes and HLA alleles in 954 admixed Brazilian exomes. We used the information available in two public databases (http://www.bipmed.organdhttp://abraom.ib.usp.br/), and additional exomes from individuals born in southeast Brazil, the region with the highest number of COVID-19 patients in the country. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and the gnomAD databases. We found 395 non-synonymous variants; of these, 325 were also found in the 1000 Genome Project phase 3 (1KGP) and/or gnomAD. Six of these variants were previously reported as putatively influencing the rate of infection or clinical prognosis for COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025.In silicoprediction of the impact in protein function revealed that three of these rare variants were pathogenic. Furthermore, we identified HLA alleles that were previously associated with COVID-19 response at loci DQB1 and DRB1. Our results showed genetic variability common to other populations, but also rare and ultra-rare variants exclusively found in the Brazilian population. These findings could potentially lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with the disease.
The impact of 1/factivity and baseline correction on the results and interpretation of time-frequency analyses of EEG/MEG data: A cautionary tale
Authors: Gyurkovics Máté , Clements Grace M. , Low Kathy A. , Fabiani Monica , Gratton Gabriele
Published: December 2020

Typically, time-frequency analysis (TFA) of electrophysiological data is aimed at isolating narrowband signals (oscillatory activity) from broadband non-oscillatory (1/f) activity, so that changes in oscillatory activity resulting from experimental manipulations can be assessed. A widely used method to do this is to convert the data to the decibel (dB) scale through baseline division and log transformation. This procedure assumes that, for each frequency, sources of power (i.e., oscillations and 1/factivity) scale by the same factor relative to the baseline (multiplicative model). This assumption may be incorrect when signal and noise are independent contributors to the power spectrum (additive model). Using resting-state EEG data from 80 participants, we found that the level of 1/factivity and alpha power are not positively correlated within participants, in line with the additive but not the multiplicative model. Then, to assess the effects of dB conversion on data that violate the multiplicativity assumption, we simulated a mixed design study with one between-subject (noise level, i.e., level of 1/factivity) and one within-subject (signal amplitude, i.e., amplitude of oscillatory activity added onto the background 1/factivity) factor. The effect size of the noise level × signal amplitude interaction was examined as a function of noise difference between groups, following dB conversion. Findings revealed that dB conversion led to the over- or under-estimation of the true interaction effect when groups differing in 1/flevels were compared, and it also led to the emergence of illusory interactions when none were present. This is because signal amplitude was systematically underestimated in the noisier compared to the less noisy group. Hence, we recommend testing whether the level of 1/factivity differs across groups or conditions and using multiple baseline correction strategies to validate results if it does. Such a situation may be particularly common in aging, developmental, or clinical studies.
Tubular lysosomes harbor active ion gradients and poise macrophages for phagocytosis
Authors: Suresh Bhavyashree , Saminathan Anand , Chakraborty Kasturi , Cui Chang , Becker Lev , Krishnan Yamuna
Published: December 2020

Lysosomes adopt dynamic, tubular states that regulate antigen presentation, phagosome resolution and autophagy. To date, tubular lysosomes have been studied either by inducing autophagy or by activating immune cells, both of which lead to cell states where lysosomal gene expression differs from the resting state. Therefore, it has been challenging to pinpoint the specific biochemical properties lysosomes acquire upon tubulation that could drive their functionality. We describe a DNA-based assembly that tubulates lysosomes in macrophages without activating them. Lumenal proteolytic activity maps at single lysosome resolution revealed that tubular lysosomes were less degradative. Further, they showed striking proximal to distal lumenal pH and Ca2+gradients. Such gradients had been predicted, but never previously observed. We now identify a role for tubular lysosomes whereby they poise resting macrophages for phagocytosis. The ability to tubulate lysosomes without having to starve or activate immune cells may help reveal new roles for tubular lysosomes.
Aggregation-related quenching of LHCII in liposomes revealed by single-molecule spectroscopy
Authors: Tutkus Marijonas , Chmeliov Jevgenij , Trinkunas Gediminas , Akhtar Parveen , Lambrev Petar H. , Valkunas Leonas
Published: December 2020

Incorporation of membrane proteins into reconstituted lipid membranes is a common approach for studying their structure and function relationship in a native-like environment. In this work, we investigated fluorescence properties of liposome-reconstituted LHCII. By utilizing liposome labelling with the fluorescent dye molecules and single-molecule microscopy techniques, we were able to study truly liposome-reconstituted LHCII and compare them with bulk measurements and liposome-free LHCII aggregates on bound surface. Our results showed that fluorescence lifetime in bulk and of that for single liposome measurements were correlated. The fluorescence lifetimes of LHCII were shorter for liposome-free LHCII than for reconstituted LHCII. In the case of liposome-reconstituted LHCII, fluorescence lifetime showed dependence on the protein density reminiscent to concentration quenching. The dependence of fluorescence lifetime of LHCII on the liposome size was not significant. Our results demonstrated that fluorescence quenching can be induced by LHCII-LHCII interactions in reconstituted membranes, most likely occurring via the same mechanism as photoprotective non-photochemical quenching in vivo.
Inverse regulation of Vibrio cholerae biofilm dispersal by polyamine signals
Authors: Bridges Andrew A. , Bassler Bonnie L.
Published: December 2020

The global pathogen Vibrio cholerae undergoes cycles of biofilm formation and dispersal in the environment and the human host. Little is understood about biofilm dispersal. Here, we show that MbaA, a periplasmic polyamine sensor, and PotD1, a polyamine importer, regulate V. cholerae biofilm dispersal. Spermidine, a commonly produced polyamine, drives V. cholerae dispersal, whereas norspermidine, an uncommon polyamine produced by vibrios, inhibits dispersal. Spermidine and norspermidine differ by one methylene group. Both polyamines function to control dispersal via periplasmic detection by MbaA and subsequent signal relay. Biofilm dispersal fails in the absence of PotD1 because reuptake of endogenously produced norspermidine does not occur, so it accumulates in the periplasm where it stimulates MbaA. These results suggest that V. cholerae uses MbaA to monitor environmental polyamines, blends of which potentially provide information about numbers of ‘self’ and ‘other’. This information is used to dictate whether or not to disperse from biofilms.
PH domain and leucine rich repeat phosphatase 1 (Phlpp1) suppresses parathyroid hormone receptor 1 (Pth1r) expression and signaling during bone growth
Authors: Weaver Samantha R. , Taylor Earnest L. , Zars Elizabeth L. , Arnold Katherine M. , Bradley Elizabeth W. , Westendorf Jennifer J.
Published: December 2020

Endochondral ossification is tightly controlled by a coordinated network of signaling cascades including parathyroid hormone (PTH). PH domain and leucine rich repeat phosphatase (Phlpp1) affects endochondral ossification by suppressing chondrocyte proliferation in the growth plate, longitudinal bone growth, and bone mineralization. As such, Phlpp1−/−mice have shorter long bones, thicker growth plates, and proportionally larger growth plate proliferative zones. The goal of this study was to determine how Phlpp1 deficiency affects PTH signaling during bone growth. Transcriptomic analysis revealed greater Pth1r expression and H3K27ac enrichment at the Pth1r promoter in Phlpp1-deficient chondrocytes. PTH(1-34) enhanced and PTH(7-34) attenuated cell proliferation, cAMP signaling, CREB phosphorylation, and cell metabolic activity in Phlpp1-inhibited chondrocytes. To understand the role of Pth1r action in the endochondral phenotypes of Phlpp1-deficient mice, Phlpp1−/−mice were injected with Pth1r ligand PTH(7-34) daily for the first four weeks of life. PTH(7-34) reversed the abnormal growth plate and long bone growth phenotypes of Phlpp1−/−mice but did not rescue deficits in bone mineral density or trabecular number. These results demonstrate that elevated Pth1r expression and signaling contributes to increased proliferation in Phlpp1−/−chondrocytes and shorter bones in Phlpp1-deficient mice. Our data reveal a novel molecular relationship between Phlpp1 and Pth1r in chondrocytes during growth plate development and longitudinal bone growth.
Englishization and the politics of translation
Authors: Wilmot Natalie Victoria , Tietze Susanne
Published: December 2020

Purpose

This study aims to investigate the treatment of translation within the international business and management (IBM) literature to highlight colonialist assumptions inscribed in this treatment as a result of the hegemonic status of English.

Design/methodology/approach

This investigation takes the form of a systemic literature review to examine the treatment of translation in the IBM literature through a postcolonial lens.

Findings

The findings demonstrate that despite growing interest in language in international business, matters of translation have received comparatively little attention. However, those articles that do address translation matters tend to do so in five key ways, including epistemological/methodological considerations, exploring translator agency, the investigations of the discursive void/conceptual fuzziness between languages, and approaches that discuss translation as social practice.

Research limitations/implications

Despite the authors’ critique of English-language hegemony, this literature review is restricted to English-language journals, which the authors acknowledge as problematic and discuss within the article.

Practical implications

In exposing the limited treatment of translation within the literature, the authors provide a call to action for IBM scholars to be more explicit in their treatment of translation to ensure representation of cultural and linguistic Others, rather than providing domesticated accounts of multilingual research.

Originality/value

Although there have been other articles that have examined translation in the past, this paper is the first to do so through a postcolonial lens, demonstrating from a linguistic perspective the colonialist assumptions that are still prevalent in IBM knowledge production, as evidenced by the treatment of translation in the field.
Contesting extractivism: international business and people’s struggles against extractive industries
Authors: Flores Rafael Kruter , Bōhm Steffen , Misoczky Maria Ceci
Published: December 2020

Purpose

This paper aims to introduce the special issue “Extractivism and the Links between International Business and People’s Struggles,” which is part of our joint research efforts oriented to advance critical knowledge on the impacts and strategies of extractive transnational corporations and social struggles against them.

Design/methodology/approach

This paper presents and discusses contemporary aspects of extractivism and their impacts on nature and livelihood. In a second moment, it introduces and reflects on the four articles that compose the special issue “Extractivism and the Links between International Business and People’s Struggles”.

Findings

Extractivism is destructive of nature and livelihoods. As reaction to its destructive logic, millions of people have organized to struggle against extractivist projects around the world. The publication of this special issue is part of authors’ joint research efforts oriented to advance critical knowledge on the impacts and strategies of extractive corporations and social struggles against them. The lessons that the authors learned in their research and their experiences in these struggles were the key motivating factors that led them to organize this special issue, exploring radical alternatives to extractivism, alternatives that have as fundamental criterion the production and reproduction of life.

Originality/value

The value of this introduction is to present and discuss the four articles of the special issue “Extractivism and the Links between International Business and People’s Struggles,” which compose a rich mosaic of themes that emerge in the struggles against extractive projects worldwide, creating a relevant picture of the main defies imposed by extractivism and its negative impacts, from political corporate social responsibility to discourses, from relational ontology to the relations among state, corporations and social movements.
The triple crisis of debt, demand and decarbonisation: a preliminary analysis of the impact of COVID-19 on commodity-dependent developing economies
Authors: Perry Keston K.
Published: December 2020

Purpose

This paper aims to offer a preliminary overview and analysis of the impact of the COVID-19 crisis on commodity-dependent developing economies (CDDEs). Using debt, decarbonisation and demand as empirical and analytical prisms to understand impacts and dynamics, the paper offers “rent space” as a theoretical tool to appreciate the changing possibilities for using resource rents for capital accumulation and expand development frontiers. It maps out the certain common features among this group of developing countries facing an increasingly adverse and uncertain situation. It offers a political economic perspective on the global dynamics and internal political situation that constrain these countries’ ability to manage the effects of this external shock that date to the 2008 crisis, and to therefore shore up an effective recovery in the coming years.

Design/methodology/approach

The paper draws together secondary literature and evidence from a number of sources including the World Bank, United Nations and International Monetary Fund on the empirical situation in these countries in view of COVID-19. The paper uses a thematic approach to understand how the current crisis has exposed these embedded and worsening vulnerabilities in this group of countries.

Findings

Results demonstrate the wide-ranging effects of COVID-19 as an existential crisis of demand in short and medium term, the explosion of debt due to actually occurring financialisation and the looming medium and long-term consequences of decarbonisation that may oblige countries to abandon exploitation of fossil fuel resources.

Originality/value

In the final analysis, COVID-19 has revealed a number of lingering effects of the commodity boom and global financial crisis. The increased indebtedness that resulted not only underscores the long-term unviability of commodity-based development as a strategy but also reveals new unprecedented weaknesses and challenges. Given the current configuration of global and domestic political economy dynamics, the paper shows that the “rent space” in fossil fuel exporters is particularly constrained and shrinking, compared to mineral exporters, but all showing a trend towards concentration in commodity production overall and worsening prospects for green recovery or industrial pathway.
The capitalization of spatial healthcare accessibility into house prices in Taiwan: an application of spatial quantile regression
Authors: Peng Ti-Ching
Published: December 2020

Purpose

Population ageing is fast becoming a major social concern across the globe. This ageing trend unavoidably fuels elders’ demand for healthcare services. As the main users of health care service, whether the healthcare is geographically approachable in local areas is more imperative to senior residents with restricted mobility. This paper proposes to examine the effect of elders’ healthcare accessibility on property prices of Taipei Metropolis, Taiwan.

Design/methodology/approach

Luo and Qi’s (2009) enhanced two-step floating catchment area method – taking both healthcare demand and supply into account – was used to measure three types of healthcare services: “physician-to-elder ratio”, “hospital bed-to-elder ratio” and “ambulance-to-elder ratio”. Spatial quantile regression (SQR) model was then used to examine the spatial effect of healthcare accessibility on different property price ranges.

Findings

The “physician-to-elder ratio” and “hospital bed-to-elder ratio” demonstrated expected consistent positive effects across all quantiles of property prices (p < 0.01) in SQR, and its effects aggravated as the quantiles of property prices rose. The “ambulance-to-elder ratio” demonstrated a non-linear influence on property prices (i.e. a negative effect on lowest quantile prices but a positive on higher quantile prices) possibly due to the semi-obnoxious characteristic of the ambulance. That is, residents living in lower priced neighbourhoods may dislike ambulances’ annoying sound of sirens (i.e. ambulances’ disamenity), while residents living in higher valued neighbourhoods may on the contrary appreciate ambulances’ healthcare services (i.e. amenity).

Practical implications

These findings are expected to offer some insights for government’s policies in providing elders in their later years with good residential quality and easy access to healthcare resource.

Originality/value

This paper is one of the few studies that consider the capitalization of the spatial healthcare accessibility to elders into property prices. In this ageing trend across the globe, although all the accessibility to medical resources should be equally critical, the application of spatial quantile regression revealed residents’ inconsistent tendency against semi-obnoxious ambulances. It provides a different perspective in defining the importance of healthcare accessibility in neighbourhoods.
Six sigma project prioritization and selection: a multi-criteria decision making approach in healthcare industry
Authors: Pakdil Fatma , Toktaş Pelin , Can Gülin Feryal
Published: December 2020

Purpose

The purpose of this study is to develop a methodology in which alternate Six Sigma projects are prioritized and selected using appropriate multi-criteria decision-making (MCDM) methods in healthcare organizations. This study addresses a particular gap in implementing a systematic methodology for Six Sigma project prioritization and selection in the healthcare industry.

Design/methodology/approach

This study develops a methodology in which alternate Six Sigma projects are prioritized and selected using a modified Kemeny median indicator rank accordance (KEMIRA-M), an MCDM method based on a case study in healthcare organizations. The case study was hypothetically developed in the healthcare industry and presented to demonstrate the proposed framework’s applicability and validity for future decision-makers who will take place in Six Sigma project selection processes.

Findings

The study reveals that the Six Sigma project prioritized by KEMIRA-M assign the highest ranks to patient satisfaction, revenue enhancement and sigma level benefit criteria, while resource utilization and process cycle time receive the lowest rank.

Practical implications

The methodology developed in this paper proposes an MCDM-based approach for practitioners to prioritize and select Six Sigma projects in the healthcare industry. The findings regarding patient satisfaction and revenue enhancement mesh with the current trends that dominate and regulate the industry. KEMIRA-M provides flexibility for Six Sigma project selection and uses multiple criteria in two-criteria groups, simultaneously. In this study, a more objective KEMIRA-M method was suggested by implementing two different ranking-based weighting approaches.

Originality/value

This is the first study that implements KEMIRA-M in Six Sigma project prioritization and selection process in the healthcare industry. To overcome previous KEMIRA-M shortcomings, two ranking based weighting approaches were proposed to form a weighting procedure of KEMIRA-M. As the first implementation of the KEMIRA-M weighting procedure, the criteria weighting procedure of the KEMIRA-M method was developed using two different weighting methods based on ranking. The study provides decision-makers with a methodology that considers both benefit and cost type criteria for alternates and gives importance to experts’ rankings related to criteria and the performance values of alternates for criteria.
Crisis leadership during COVID-19: the role of governors in the United States
Authors: Sadiq Abdul-Akeem , Kapucu Naim , Hu Qian
Published: December 2020

Purpose

The purpose of this viewpoint article is to understand crisis leadership during COVID-19 by examining the decision-making with respect to implementing COVID-19 mitigation measures, collaboration with stakeholders, and communication strategies of the governors of the States of California, Texas, Florida, and New York in the United States.

Design/methodology/approach

This viewpoint article employs information from the extant literature on crisis leadership and secondary sources to understand the four governor's crisis leadership strategies during COVID-19.

Findings

Governors Gavin Newsom of California and Andrew Cuomo of New York made quicker decisions regarding implementing COVID-19 mitigation measures (e.g. shutting down the economy, mandating physical distancing, issuing stay-at-home orders, mandating wearing face covering in public and issuing a state of emergency) compared to Governors Greg Abbott of Texas and Ron DeSantis of Florida. In addition, all four governors collaborated with state and local governments, private entities, and nonprofits to address COVID-19. Finally, all four governors held some form of briefing on COVID-19 on a regular basis and used different media to get their information out to the public.

Originality/value

This viewpoint article uses decision-making regarding implementation of mitigation strategies, collaboration with stakeholders, and crisis communication strategy to understand governors' crisis leadership during COVID-19.
Investigating predictors of online vigilance among university students
Authors: Le Roux Daniel B. , Parry Douglas A.
Published: December 2020

Purpose

Online vigilance is a novel construct which describes individual differences in users' cognitive orientation to online connectedness, their attention to and integration of online-related cues and stimuli and their prioritisation of online communication. Its proponents argue that it is acquired through the processes of instrumental and attentional training that underlie media use behaviours. The purpose of the present study is to investigate the role of three personal characteristics (emotional intelligence, rumination and identity distress) as predictors of online vigilance in addition to media use behaviour.

Design/methodology/approach

The authors adopted an exploratory frame and followed a survey-methodology to collect data among a sample of university students (n = 812). The resulting data were analysed through a hierarchical multiple regression process in which four models were considered.

Findings

The findings indicate that while media use behaviours (daily smartphone use, social media use, messaging, video watching and media multitasking) predict online vigilance, their combined effect is weak. However, when considering these behaviours in combination with trait rumination and identity distress, a moderate effect is observable.

Research limitations/implications

While the findings do not permit causal inference, it suggests that two personal characteristics, trait rumination and identity distress, play an important role in determining an individual's tendency or ability to psychologically disconnect from their online spheres. This provides an initial step towards the theorisation of online vigilance and the identification of individuals who may be at risk of acquiring it.

Originality/value

Online vigilance is a novel construct which has only been investigated in a small number of studies. However, its emphasis on psychological connectedness presents a unique and important development in the context of permanently online, permanently connected living. The present study is the first to explore its association with personal characteristics.
Debiasing as a powerful management accounting tool? Evidence from German firms
Authors: Kreilkamp Niklas , Schmidt Maximilian , Wöhrmann Arnt
Published: December 2020

Purpose

The purpose of this paper is to investigate if and how firms approach debiasing and what determines its success. In particular, this study examines if debiasing is effective in reducing cognitive decision biases. This paper also investigates organizational characteristics that determine the effectiveness of debiasing.

Design/methodology/approach

This study uses survey data from German firms to answer the research questions. Target respondents are individuals in a senior management accounting function.

Findings

In line with the hypotheses, this paper finds that debiasing can reduce cognitive biases. Moreover, this study finds that psychological safety not only directly influences the occurrence of cognitive biases but is also an important factor that determines the effectiveness of debiasing.

Research limitations/implications

This paper provides evidence that debiasing can serve as a powerful management accounting tool and discusses debiasing in the context of recent management accounting literature. This study also adds to the stream of research that investigates the role of psychological safety in organizations by highlighting its importance for successful debiasing.

Practical implications

This paper informs firms that use or intend to use debiasing about crucial determinants to consider when debating its implementation, i.e. psychological safety. This study also identifies risk management as a potential interface for the implementation of systematic debiasing.

Originality/value

While previous research primarily addresses specific cognitive biases and debiasing mechanisms using lab experiments, this is – to the best of the knowledge – the first study investigating cognitive biases and debiasing on a broad conceptual level using survey data.
The internationalisation of management accounting research in the German-speaking countries – a longitudinal study
Authors: Endenich Christoph , Hoffjan Andreas , Krutoff Anne , Trapp Rouven
Published: December 2020

Purpose

This paper aims to study the internationalisation of management accounting research in the German-speaking countries and to analyse whether researchers from these countries rely on their intellectual heritage or adapt to the conventions prevailing in the international community.

Design/methodology/approach

This paper provides a research taxonomy of 273 papers published by management accounting researchers from the German-speaking countries between 2005 and 2018 in domestic and international journals with regard to topics, settings, methods, data origins and theories of these papers. The study also systematically compares these publications with the publications by international scholars as synthesised in selected prior bibliometric studies.

Findings

The findings suggest that German-speaking researchers increasingly adapt to the conventions prevailing in the international management accounting literature. Indicative of this development is the crowding out of traditional core areas of German-speaking management accounting such as cost accounting by management control topics. The study also finds that German-speaking researchers increasingly rely on the research methods and theories prevailing internationally.

Research limitations/implications

The paper documents considerable changes in the publications of management accounting researchers from the German-speaking countries. These changes raise the question how other national research communities internationalise and whether these processes lead to a greater homogenisation of international management accounting research, which might impair the advancement of management accounting knowledge.

Originality/value

This paper provides first empirical evidence on how management accounting research conducted in the German-speaking countries has changed in the course of the internationalisation of the research community and builds an important basis for future research in other geographic settings.
A business-cycle model with monopolistically competitive firms and Calvo wages: lessons for Bulgaria
Authors: Vasilev Aleksandar
Published: December 2020

Purpose

The author augments an otherwise standard business-cycle model with a rich government sector and adds monopolistic competition in the product market and rigid prices, as well as rigid wages a la Calvo (1983) in the labor market.

Design/methodology/approach

This specification with the nominal wage rigidity, when calibrated to Bulgarian data after the introduction of the currency board (1999–2018), allows the framework to reproduce better observed variability and correlations among model variables and those characterizing the labor market in particular.

Findings

As nominal wage frictions are incorporated, the variables become more persistent, especially output, capital stock, investment and consumption, which help the model match data better, as compared to a setup without rigidities.

Practical implications

The findings suggest that technology shocks seem to be the dominant source of economic fluctuations, but nominal wage rigidities as well as the monopolistic competition in the product market, might be important factors of relevance to the labor market dynamics in Bulgaria, and such imperfections should be incorporated in any model that studies cyclical movements in employment and wages.

Originality/value

The computational experiments performed in this paper suggest that wage rigidities are a quantitatively important model ingredient, which should be taken into consideration when analyzing the effects of different policies in Bulgaria, which is a novel result.