bluuebunny/crossref_metadata_2025_split huggingface dataset:
Managing trolling in online communities: an organizational perspective
Authors: Dineva Denitsa , Breitsohl Jan 
Published: July 2021

PurposeThe literature lacks knowledge on how organizations can manage trolling behaviors in online communities. Extant studies tend to either focus on user responses to trolling behaviors (i.e. a micro-level perspective) or how the trolling infrastructure is governed by platforms (i.e. a macro-level perspective), paying less attention to the organizational community host. With more organizations hosting online communities on social media networks and trolling behaviors increasingly disrupting user engagement within these communities, the current understanding of trolling management practices has become inapt. Given the commercial and social damage caused by trolling behaviors, it is important to understand how these can be best managed. The purpose of this study, therefore, is to examine the meso-level perspective of trolling management by focusing on organizational practice.Design/methodology/approachThe research design consists of an in-depth non-participatory netnography based on a case study of PETA’s (“People for the Ethical Treatment of Animals”) Facebook community.FindingsSix distinct trolling management strategies are identified and categorized by their direct versus indirect communication approach: non-engaging, educating, bolstering, expurgating, asserting and mobilizing. Some strategies are deemed to be more successful than others in generating positive community outcomes such as reduced trolling frequency or further support from like-minded community members.Originality/valueThe findings contribute to the meso-level perspective in the trolling management literature by introducing a novel, empirically informed typology of organizational trolling management strategies.
Liquidity management and monetary transmission: empirical analysis for India
Authors: Charmal Vikas , Goyal Ashima 
Published: July 2021

PurposeA change in monetary operating procedures provides a natural experiment which is used to evaluate, first, whether Indian monetary policy transmission is better when durable liquidity is in surplus or when it is in deficit; second whether it is better with interest rates as the policy instrument or quantity of money or a mixture of the two.Design/methodology/approachThis study first shows that the period of analysis can be divided into two separate regimes one of liquidity surplus (2002–2010) and the other of deficit (2011–2019).This study then estimates separate structural vector auto-regressions (SVARs) for the financial and real sector, with relevant exogenous foreign, policy and other variables for each of the periods as well as SVARs for the whole period with alternative operating instruments.FindingsMonetary transmission from the repo rate was better during the period the liquidity adjustment facility (LAF) was in surplus with the central bank in absorption mode denoting excess durable liquidity. Pass through was faster and the repo rate had a greater influence on other variables. The impact of the rate on output gap exceeds that on inflation. The weighted average call money rate was found to outperform others as the operating target. Monetary policy has evolved so that policy rates are more effective in transmission compared to money supply, but best results are when durable liquidity is also in surplus.Originality/valueThe results contribute to ongoing debates on the Indian monetary policy framework and give useful inputs for policy in emerging markets where research is scarce. They suggest keeping the LAF in deficit mode over 2011–19 was not optimal.
Commodity price fluctuations and development: perspective from emerging economies
Authors: Abaidoo Rexford , Agyapong Elvis Agyapong 
Published: July 2021

PurposeThis paper aims to examine the impact of commodity price changes (crude oil, cocoa, coffee, cotton and gold) on the international market on development (development proxied by the human development index) (HDI) among emerging economies in Sub-Saharan Africa (SSA).Design/methodology/approachEmpirical estimates verifying theorized relationships in question were performed using the two-step system generalized method of moments framework.FindingsResults from the empirical estimates suggest that a percentage increase in the prices of crude oil, cocoa and gold in the world market have a significant positive influence on development among economies in the sub-region all things being equal; however, similar price changes in cotton and coffee showed a negative effect on development. Further empirical estimates suggest that the extent to which prices of key commodities such as crude oil, influence development in the sub-region benefit less from institutional variables such as government effectiveness, corruption control and political stability. The same institutional variables, however, were found to augment how changes in cocoa prices influence development among economies in the sub-region.Originality/valueThis study specifically examines the extent to which commodity price fluctuations impact a holistic measure of development, (HDI which inherently captures economic growth) among emerging economies such as those in the SSA region, and how such relationship may be moderated by conditions such as corruption control and government effectiveness. The review suggests that such a study is rare, did not find any specific empirical inquiry focusing on what this study is designed to accomplish. A major gap or deficit identified among most reviewed studies is the failure to verify how the surmised relationship between movements in prices of commodities traded on the international market and development is moderated by institutional factors such as corruption control, government effectiveness and political stability. This study specifically examines such interaction effects in its empirical analysis.
Effects of using the management control system on individual performance with the intervenience of feedforward and organizational learning
Authors: Beuren Ilse Maria , Santos Vanderlei dos , Bernd Daniele Cristina 
Published: July 2021

PurposeThis study aims to empirically examine the effects of using the management control system (MCS) on individual performance mediated by organizational learning. Complementarily, it evaluates the moderating effect of feedforward on the relationship between MCS use and organizational learning.Design/methodology/approachStructural equation modeling and mediation and moderation analyses were used in a sample of 194 managers from Brazilian companies listed in theExame Magazine’s“Best and Biggest” ranking.FindingsThe results reveal that using the MCS from a cybernetic perspective contributes to organizational learning, contradicting theoretical arguments and empirical evidence that this hinders learning and that feedforward can strengthen this relationship, as long as it is in line with the way of using the MCS. A mediating effect of organizational learning on the relationship between MCS use and individual performance has also been confirmed.Practical implicationsThe results demonstrate the effects of MCS use on individual performance and organizational learning by taking a taxonomy of cybernetic use and comprehensive MCS use as a basis. The results provide insights to managers by revealing that MCS use not only influences task performance through organizational learning but also tends to generate cooperative, persistent and initiative-taking behaviors.Originality/valueThe study provides an approach to the behavioral consequences of using the MCS (score-keeping use and comprehensive MCS use) and the role of specific cognitive and motivational mechanisms in individual performance from a multidimensional perspective (task-based, contextual and general).
Evaluation of service quality using SERVQUAL scale and machine learning algorithms: a case study in healthcare
Authors: Altuntas Serkan , Dereli Türkay , Erdoğan Zülfiye 
Published: July 2021

Purpose
This study aims to propose a service quality evaluation model for health-care services.

Design/methodology/approach
In this study, a service quality evaluation model is proposed based on the service quality measurement (SERVQUAL) scale and machine learning algorithm. Primarily, items that affect the quality of service are determined based on the SERVQUAL scale. Subsequently, a service quality assessment model is generated to manage the resources that are allocated to improve the activities efficiently. Following this phase, a sample of classification model is conducted. Machine learning algorithms are used to establish the classification model.

Findings
The proposed evaluation model addresses the following questions: What are the potential impact levels of service quality dimensions on the quality of service practically? What should be prioritization among the service quality dimensions and Which dimensions of service quality should be improved primarily? A real-life case study in a public hospital is carried out to reveal how the proposed model works. The results that have been obtained from the case study show that the proposed model can be conducted easily in practice. It is also found that there is a remarkably high-service gap in the public hospital, in which the case study has been conducted, regarding the general physical conditions and food services.

Originality/value
The primary contribution of this study is threefold. The proposed evaluation model determines the impact levels of service quality dimensions on the service quality in practice. The proposed evaluation model prioritizes service quality dimensions in terms of their significance. The proposed evaluation model finds out the answer to the question of which service quality dimensions should be improved primarily?
Quality control for the geophone reorientation of ocean bottom seismic data using k‐means clustering
Authors: Jeong Woodon , Almubarak Mohammed S. , Tsingas Constantinos 
Published: July 2021

ABSTRACTDuring ocean bottom seismic acquisition, seafloor multicomponent geophones located in rugose and sloping water bottom can be affected by skewed energy distribution, such as leaked shear energy on the vertical geophones and leaked compressional energy on the horizontal geophones. To correct for the tilted energy distribution, which is one of most effective preprocessing steps, a geophone reorientation step is applied. This is a simple and straightforward process that applies a 3‐dimensional rotation matrix with respect to the orientation angles. Since the reorientation process highly affects the outcome of the entire data processing workflow, it has to be accompanied by a careful quality control process to verify its validity for the whole survey area. In this study, we propose a quality control workflow for the geophone reorientation by using unsupervised machine learning. A correlation analysis is employed to compare numerical versus analytical solutions of both the azimuth and the incidence angles for the direct arrivals. A comparison of both solutions aims to generate correlation coefficients that are indicative of the accuracy of geophone orientation. The correlation coefficients are subsequently investigated by the k‐means clustering algorithm to differentiate and identify normally and abnormally deployed/reoriented geophones. Numerical experiments on a field ocean bottom seismic data set confirm that the proposed workflow effectively provides reliable labels for normally and abnormally deployed/reoriented geophones. The labelling assigned by the proposed quality control workflow is a suitable indicator for abnormalities in the geophone reorientation step and will be helpful for further investigation, such as re‐correction or removal of abnormally reoriented geophones.
States' use of Medicaid to meet the needs of autistic individuals
Authors: Shea Lindsay Lawer , Koffer Miller Kaitlin H. , Verstreate Kate , Tao Sha , Mandell David 
Published: July 2021

AbstractObjectiveTo assess the use of Medicaid programs, including waivers, to address the needs of aging autistic individuals.Data sourcesWe gathered data on Medicaid programs in place between 2004 and 2015 for 50 states and the District of Columbia from the Centers for Medicare and Medicaid Services website, by contacting state Medicaid administrators and advocacy groups, and by reviewing the Medicaid Analytic eXtract Waiver Crosswalk.Study designThis retrospective analysis classified each Medicaid program and documented state changes over time in eligibility criteria: those serving autism spectrum disorder only, autism spectrum disorder or intellectual disability, and intellectual disability only.Data collection/extraction methodsWe captured age and diagnosis eligibility criteria for Medicaid programs serving any of the three target groups.Principal findingsA total of 269 Medicaid programs met our criteria and most programs (51%) were 1915(c) waivers. The number of autism‐specific 1915(c) waivers grew more than fivefold during the study period, outpacing increases in waivers serving individuals with intellectual disability.ConclusionsStates varied in their use of Medicaid to address the needs of the aging autism population. Further study of characteristics of states that changed their Medicaid programs, and of the health care use and outcomes associated with these changes, are needed to identify opportunities to replicate effective approaches to meeting the needs of this population.
Isobutylene contamination of blood collected in 10‐ml evacuated blood collection tubes with gray conventional rubber stoppers
Authors: Kosecki Patrick Allan , Autret Amy , Abbott Lori , Keller‐Brooke Katie 
Published: July 2021

AbstractDual‐column headspace gas chromatographic analysis with two flame‐ionization detectors is a commonly used analytical technique for forensic blood ethanol quantitation. This technique is also applicable to the identification and quantitation of other volatile organic compounds such as methanol in biological samples. Compound identification by retention time is limited to those compounds with known retention times programmed into the instrument method. Historically, an early‐eluting peak from an unidentified compound has been observed in both chromatograms from antemortem blood samples analyzed for ethanol concentration with this technique. The unidentified compound's retention time matches that of methanol on one column but not on the second column. This previously unidentified compound has been identified as isobutylene. The proposed source of the isobutylene contamination historically observed in antemortem blood samples collected in 10‐ml gray‐top blood collection tubes is the conventional rubber stopper. Isobutylene was detected in deionized water stored in each of the seven lots of 10‐ml blood tubes tested; the expiration dates of the tubes tested spanned the years 2002–2022. Misidentification of isobutylene as methanol is possible when using a single‐column gas chromatographic system. The presence of isobutylene in blood collected in a gray‐top collection tube does not represent laboratory contamination, is not an interferent with blood ethanol quantitation, and does not affect the ethanol concentration in the blood. A 0.150 g/dl aqueous ethanol standard was stored in a gray‐top tube to evaluate the potential impact of isobutylene on ethanol quantitation. The solution's average ethanol concentration measured after storage was 0.150 g/dl.
Clinical characteristics of non‐radiographic axial spondyloarthritis: Results of the Korean Nonradiographic Axial SPondyloArthritis (KONASPA) data
Authors: Jeong Hyemin , Kim Yong‐Gil , Kim Tae‐Hwan , Kim Tae‐Jong , Park Min‐Chan , Seo Mi Ryoung , Shin Kichul , Oh Ji Seon , Lee Sang‐Hoon , Lee Yeon‐Ah , Lee Eun Young , Baek Han Joo , Cha Hoon‐Suk 
Published: July 2021

AbstractAimTo evaluate clinical characteristics and natural history of non‐radiographic axial spondyloarthritis (nr‐axSpA) using KOrean Nonradiographic Axial SPondyloArthritis (KONASPA) data.MethodsData were collected from 11 centers in South Korea. A total of 278 patients with nr‐axSpA from January 2018 to July 2020 were included. Demographic data, clinical features, comorbidities, disease activity, medications, and laboratory results were collected.ResultsMean age at symptom onset was 28.2 ± 14.2 years. Of 278 patients, 152 (54.7%) were male. Mean Bath Ankylosing Spondylitis Disease Activity Index at diagnosis was 3.5 ± 2.1. Dyslipidemia was the most common comorbidity (8.4%), followed by hypertension (6.1%). Mean age at diagnosis of nr‐axSpA was older in female patients than in male patients (31.8 ± 15.8 years vs 24.9 ± 12.0 years, P < 0.001). Enthesitis and uveitis were more frequently found in female patients than in male patients. Thirty‐one (11.1%) participants with nr‐axSpA progressed to ankylosing spondylitis. The median follow‐up duration was 48 months. In multivariable Cox regression analysis, age at symptom onset (hazard ratio [HR] 0.93, 95% confidence interval (CI) 0.88‐0.97, P = 0.006), body mass index (BMI) (HR 1.24, 95% CI 1.06‐1.44, P = 0.005) and sacroiliitis grade (HR 1.86, 95% CI 1.19‐2.92, P = 0.006) were associated with progression to ankylosing spondylitis.ConclusionsResults of nationwide data revealed that women with nr‐axSpA showed a late disease onset and more extra‐articular manifestations than men. Young age at symptom onset, high BMI, and presence of radiographic sacroiliitis at diagnosis were risk factors for progression to AS.
mTORC2: The other mTOR in autophagy regulation
Authors: Ballesteros‐Álvarez Josué , Andersen Julie K. 
Published: July 2021

AbstractThe mechanistic target of rapamycin (mTOR) has gathered significant attention as a ubiquitously expressed multimeric kinase with key implications for cell growth, proliferation, and survival. This kinase forms the central core of two distinct complexes, mTORC1 and mTORC2, which share the ability of integrating environmental, nutritional, and hormonal cues but which regulate separate molecular pathways that result in different cellular responses. Particularly, mTORC1 has been described as a major negative regulator of endosomal biogenesis and autophagy, a catabolic process that degrades intracellular components and organelles within the lysosomes and is thought to play a key role in human health and disease. In contrast, the role of mTORC2 in the regulation of autophagy has been considerably less studied despite mounting evidence this complex may regulate autophagy in a different and perhaps complementary manner to that of mTORC1. Genetic ablation of unique subunits is currently being utilized to study the differential effects of the two mTOR complexes. RICTOR is the best‐described subunit specific to mTORC2 and as such has become a useful tool for investigating the specific actions of this complex. The development of complex‐specific inhibitors for mTORC2 is also an area of intense interest. Studies to date have demonstrated that mTORC1/2 complexes each signal to a variety of exclusive downstream molecules with distinct biological roles. Pinpointing the particular effects of these downstream effectors is crucial toward the development of novel therapies aimed at accurately modulating autophagy in the context of human aging and disease.
Emergency medicine faculty serving on standing NIH and AHRQ study sections from 2019 to 2020
Authors: Moore Andrew B. , Puskarich Mike , Vogel Jody A. , Brown Jeremy , Sharp Willard W. 
Published: July 2021

AbstractEmergency medicine (EM) investigators lag in research funding from the National Institutes of Health (NIH) when compared to other specialties. NIH funding determinations are made in part by a process of NIH study section peer review. Low participation by EM investigators in NIH peer review could be one explanation for low levels of NIH funding by EM investigators. The objective of this study was to establish a current‐state metric of EM faculty researchers serving on standing NIH study sections from 2019 to 2020. Publicly available lists of NIH study section membership rosters within the Center for Scientific Review and within individual NIH institutions were reviewed for standing members. Committee members listed as being members of a department of emergency medicine were identified as emergency care researchers. Special emphasis panels and ad hoc members were excluded. Members degrees were categorized as PhD, MD (with or without non‐PhD degree), MD/PhD, and other. Similar analysis was performed of AHRQ study sections. A total of 6,113 members on NIH study sections were identified. Degrees held by committee members included PhDs 74% (4,547), MDs 14%(883), MD/PhDs 10% (584), and other (99). Twenty (0.3%) NIH study section members were identified as members of an emergency department (ED). A total of 20% (four) held PhDs, 75% (15) held MDs, and 5%(one) held MD/PhD degrees. A total of 25% (five) of EM faculty were pediatric and 75% (15) were adult. Clustering of study sections within similar institutions was noted with 40% (two) of the pediatric faculty at the same institution while 27% (four) of the adult faculty were at the same institution. AHRQ study section review identified 3% (four/127) as members of an ED. Our data show that 20 EM faculty comprised 0.3% of NIH standing study section members and four EM faculty comprised 3% of AHRQ standing study section members from 2019 to 2020 and that these members were clustered at a few institutions.
Widespread ST‐segment elevation due to diffuse coronary artery spasm: A case report
Authors: Bai Lin , Chen Fei , Peng Yong 
Published: July 2021

AbstractCoronary artery spasm (CAS) is considered an important mechanism of acute coronary syndrome but not very common in the clinical setting. We report a case of a 42‐year‐old woman with chest pain lasting for 4 h due to diffuse CAS, which led to widespread ST‐segment elevation in multiple leads of the electrocardiogram and elevated cardiac troponin T. Emergency coronary angiography at admission showed significantly different morphological results from the second angiography during hospitalization, indicating the patient's discomfort was due to CAS rather than stenosis. Our case illustrates that diffuse CAS can cause widespread ST‐segment elevation and severe ACS.
Pyruvate dehydrogenase kinase 4‐mediated metabolic reprogramming is involved in rituximab resistance in diffuse large B‐cell lymphoma by affecting the expression of MS4A1/CD20
Authors: Jiang Duanfeng , Mo Qiuyu , Sun Xiaoying , Wang Xiaotao , Dong Min , Zhang Guozhen , Chen Fangping , Zhao Qiangqiang 
Published: July 2021

AbstractDiffuse large B cell lymphoma (DLBCL) heterogeneity promotes recurrence and anti‐CD20‐based therapeutic resistance. Previous studies have shown that downregulation of MS4A1/CD20 expression after chemoimmunotherapy with rituximab leads to rituximab resistance. However, the mechanisms of CD20 loss remain unknown. We identified that pyruvate dehydrogenase kinase 4 (PDK4) is markedly elevated in DLBCL cells derived from both patients and cell lines with R‐CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone) resistance. We found that overexpression of PDK4 in DLBCL cells resulted in cell proliferation and resistance to rituximab in vitro and in vivo. Furthermore, loss of PDK4 expression or treatment with the PDK4 inhibitor dichloroacetate was able to significantly increase rituximab‐induced cell apoptosis in DLBCL cells. Further studies suggested PDK4 mediates a metabolic shift, in that the main energy source was changed from oxidative phosphorylation to glycolysis, and the metabolic changes could play an important role in rituximab resistance. Importantly, by knocking down or overexpressing PDK4 in DLBCL cells, we showed that PDK4 has a negative regulation effect on MS4A1/CD20 expression. Collectively, this is the first study showing that targeting PDK4 has the potential to overcome rituximab resistance in DLBCL.