bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic Effects in Coaxial Mixers: The Controlling Strategy of the Flow and Shear
Authors: Huang Juan , Zhang Botao , Dai Gance , Chen Chen , Yu Haiyan , Tian Huaixiang 
Published: November 2021

AbstractSynergistic effects implying that strong flow and high shear can be obtained simultaneously were found in coaxial mixers. The flow field, axial pumping rate Qzave, and shear strain rate were studied to characterize the synergistic effect quantitatively. The indicator of synergy S was proposed to judge the goodness of synergy. The influences of the fluid viscosity, speed ratio, and rotation mode were studied. The S value becomes larger and smaller with increasing fluid viscosity for helical ribbon and pitched blade turbine impellers, respectively. The variation trend is opposite to the increase of the speed ratio. The co‐rotation mode has better mixing performance than that of the counter‐rotation mode at constant specific power.
Construction of Hierarchical Flower‐Shaped (NH4)2V3O8/rGO with Enhanced Zinc Storage Performance**
Authors: Pan Zikang , Ru Qiang , Zheng Minghui , Xu Wengang , Wu Jinlin , Zhang Jun , Chi‐Chun Ling Francis , Wie Li 
Published: November 2021

AbstractVanadium‐based cathode materials are being widely investigated in aqueous zinc‐ion batteries (ZIBs) due to their high specific capacity. However, poor cycling stability and low conductivity limit their practical applications. Herein, the hierarchical flower‐shaped (NH4)2V3O8/reduced graphene oxide (denoted as NVO/rGO) composite is designed to harvest high‐efficiency Zn storage. Benefiting from the stable layered structure of NVO, the prominent pseudocapacitance, and excellent conductivity of rGO, the NVO/rGO composite exhibits a high specific capacity of 375.3 mAh g−1 at 0.2 A g−1, excellent cycling stability of 265.0 mAh g−1 after 3700 cycles at 5.0 A g−1 (capacity retention over 95.3 %), and outstanding rate performance of 263.9 mAh g−1 at 10.0 A g−1 by using traditional coin cells. To further verify the practicability of the NVO/rGO cathode, flexible electrode and xanthan gum electrolyte are adopted to assemble quasi‐solid‐state ZIBs, which exhibit a great specific capacity of 185.0 mAh g−1 at 0.5 A g−1 and good stability under different bending angles with an impressive capacity retention of 92.2 % after cycling. This study illustrates that hierarchical flower‐shaped NVO/rGO has a promising potential as aqueous or quasi‐solid‐state ZIBs cathode and improves the application of vanadium‐based materials.
Temporomandibular disorder as risk factor for radiation‐induced trismus in patients with head and neck cancer
Authors: Pauli Nina , Fagerberg Mohlin Bodil , Mejersjö Christina , Finizia Caterina 
Published: November 2021

AbstractObjectivesThe aim of this study was to investigate if patients with temporomandibular disorders (TMD) prior to head and neck cancer (HNC) treatment are at higher risk of developing trismus after oncological treatment.Materials and MethodsEighty‐three study patients underwent detailed dental examination prior oncological treatment and 6 months after radiotherapy completion, including evaluation of temporomandibular jaw function, palpation of the jaw muscles, and measurement of mouth opening capacity. TMD criteria were based on both clinical examination findings and patient‐reported symptoms. TMD at baseline was used in regression analysis in order to predict restricted mouth opening.ResultsAt the 6 months follow‐up more than a third of the patients (35%) were examined with reduced mouth opening of >20% compared to baseline. A majority of the patients had bilateral tenderness of both the temporal and the masseter muscle. At the 6 months follow‐up, 42% of the study patients reported mouth opening problems. About one‐third of the patients suffered from fatigue and stiffness of the jaw as well as pain when mowing the jaw. Two questions from the validated symptom‐specific Gothenburg Trismus Questionnaire were found to be related to a statistically significant increased risk of restricted mouth opening after radiotherapy; “During the last week, have you felt: Pain on moving the jaw?” (OR [95% CI] 5.9 (1.2–29.4) [p = 0.030]) and “During the last week, have you felt pain and tenderness in the muscles of mastication?” (OR [95% CI] 5.90 [1.19–29.40] [p = 0.030]).ConclusionsTMD is common amongst HNC patients. Patients who suffer from pain in the jaw muscles and pain when moving the jaw before start of treatment are at higher risk of radiation‐induced trismus after 6 months. Clinicians should strive for optimizing the patients pain treatment and oral health before, during, and after radiotherapy.
Phenotypic heterogeneity of COVID‐19 pneumonia: clinical and pathophysiological relevance of the vascular phenotypea
Authors: Bertini Matteo , D'Aniello Emanuele , Di Ienno Luca , Gibiino Federico , Tavazzi Guido , Volta Carlo Alberto , Contoli Marco , Papi Alberto , Campo Gianluca , Ferrari Roberto , Rapezzi Claudio 
Published: November 2021

Recent data support the existence of a distinctive ‘vascular’ phenotype with the involvement of both pulmonary parenchyma and its circulation in COVID‐19 pneumonia. Its prompt identification is important for the accurate management of COVID‐19 patients. The aim is to analyse the pro and contra of the different modalities to identify the ‘vascular’ phenotype. Chest computed tomography scan and angiogram may quantify both parenchyma and vascular damage, but the presence of thrombosis of pulmonary microcirculation may be missed. Increased d‐dimer concentration confirms a thrombotic state, but it cannot localize the thrombus. An elevation of troponin concentration non‐specifically reflects cardiac injury. Echocardiogram and electrocardiogram provide specific signs of right ventricular pressure overload. This is particularly relevant for the ‘vascular’ phenotype, which does not necessarily represent the result of thrombo‐embolic venous complications, but more frequently, it is the result of pulmonary microcirculation thrombosis in situ and needs immediate therapeutic action.Condensed abstractDespite diagnosis of the ‘vascular’ phenotype of COVID‐19 pneumonia may be subtle, the evidence indicates a reasonable possibility of identifying it already in the initial stage of the infection. Chest computed tomography scan and angiogram, increased d‐dimer concentration, and elevation of troponin concentration may be not sufficient to identify ‘vascular’ phenotype. Echocardiogram and electrocardiogram provide specific signs of right ventricular pressure overload. This is particularly relevant for the ‘vascular’ phenotype, which does not necessarily represent the result of thrombo‐embolic venous complications, but more frequently, it is the result of pulmonary microcirculation thrombosis in situ and needs immediate therapeutic action.
IoT‐assisted irregular environmental event determination for health analysis of pregnant females
Authors: Manocha Ankush 
Published: November 2021

AbstractIndoor environment pollution is one of the significant concerns related to the individual's health of every category. As a majority of the population is spending their time indoors, the research on environment monitoring is realized on priority. In this research, the correlation between the indoor environment and health is determined to predict the health severity of pregnant females in real‐time. The proposed solution employs IoT‐enabled smart sensors for data acquisition. The accumulated data is processed over the fog‐cloud platform for data quantification. To classify the irregular events from the processed data, the machine learning‐assisted Weighted‐Naïve Bayes (W‐NB) classification technique is deployed on the fog layer. Furthermore, a deep learning‐inspired multilayered convolutional neural network‐long short‐term memory (M‐CNN‐LSTM) model is proposed to determine the scale of health severity. Moreover, a two‐phased alert generation mechanism is proposed to deal with the case of a medical emergency by generating notifications to the concerned medical specialists. The performance of the system is validated by performing several experimental simulations over the environmental and health datasets comprised of nearly 38 356 instances. The performance of the proposed solution is evaluated in terms of event classification, severity prediction, temporal delay efficiency, and overall performance stability. The calculated outcomes registered considerable performance over the several state‐of‐the‐art decision‐making approaches.
Causation, not collinearity: Identifying sources of bias when modelling the evolution of brain size and other allometric traits
Authors: Walmsley Sam F. , Morrissey Michael B. 
Published: November 2021

AbstractMany biological traits covary with body size, resulting in an allometric relationship. Identifying the evolutionary drivers of these traits is complicated by possible relationships between a candidate selective agent and body size itself, motivating the widespread use of multiple regression analysis. However, the possibility that multiple regression may generate misleading estimates when predictor variables are correlated has recently received much attention. Here, we argue that a primary source of such bias is the failure to account for the complex causal structures underlying brains, bodies, and agents. When brains and bodies are expected to evolve in a correlated manner over and above the effects of specific agents of selection, neither simple nor multiple regression will identify the true causal effect of an agent on brain size. This problem results from the inclusion of a predictor variable in a regression analysis that is (in part) a consequence of the response variable. We demonstrate these biases with examples and derive estimators to identify causal relationships when traits evolve as a function of an existing allometry. Model mis-specification relative to plausible causal structures, not collinearity, requires further consideration as an important source of bias in comparative analyses.
Quality of life, mood, and cognitive performance in older adults with cognitive impairment during the first wave of COVID 19 in Argentina
Authors: Aragón Irina , Flores Ignacio , Dorman Guido , Rojas Galeno , Sierra Sanjurjo Natalia , O’Neill Santiago 
Published: November 2021

AbstractBackground and ObjectivesIn Argentina, government has established lockdown on 19 March 2020 to decrease SARS‐COV‐2 infection. The study aim was to understand how mandatory quarantine imposed due to COVID‐19 pandemic has affected quality of life, mood, and cognitive performance of older adults with cognitive impairment.DesignLongitudinal descriptive–observational study.ParticipantsPatients with cognitive impairment attending to online cognitive training sessions.MeasurementsParticipants have completed by themselves Quality of Life in Alzheimer's Disease scale (QOL‐AD), Beck Depression Inventory (BDI‐II), Test your Memory (TYM), and an attention and executive task created by our institution. Same assessments were done at the beginning of the lockdown and 7 months later.ResultsFifty‐one adults were included. An increase in BDI‐II score (p = 0.049) and worse performance in one of the executive attention tests (p = 0.012) have been found. No significant differences in QOL‐AD, TYM, verbal fluency, or memory tests total scores have been observed. Reviewing scales subitems, differences in changes in sleep habits (p = 0.021), energy level decrease (p = 0.004), worse subjective record of memory capacity (p = 0.028), and decrease in ability to do housework (p = 0.007) have been shown. In those who lived alone, BDI and TYM higher scores in BDI‐II (p = 0.030) (p = 0.022) have been found.ConclusionMandatory quarantine imposed due to COVID‐19 pandemic was associated with worsening of mood, some quality‐of‐life variables, and decrease in attention in older adults with cognitive impairment in Argentina.
Complexity offering opportunity: Mutual learning between Zhejiang Geely Holding Group and Volvo Cars in the post‐acquisition process
Authors: Jonsson Anna , Vahlne Jan‐Erik 
Published: November 2021

AbstractResearch SummaryWhile much of the literature on complex global environments builds on studies of multinationals from mature markets, little is known about how firms from emerging markets understand and cope with complexity. This paper builds on a longitudinal case study of Zhejiang Geely Holding Group (ZGH) in the post‐acquisition process of Volvo Car Group (VCG) and its efforts to learn how to learn in order to catch up with the internationalization process as means for developing capabilities and compete in the global automotive industry. Building on the Uppsala model, we contribute with insights how an emerging market multinational understands complexity and organize the post‐acquisition process to explicitly emphasize the importance of mutual learning to develop and exploit opportunities to improve the business.Managerial SummaryA key finding is that ZGH doesnotunderstand complexity only as a risk that should be coped with, managed and controlled—following the western idea of risk management—but also as an opportunity for learning. While the importance of knowledge management and organizational learning is often emphasized as a means to achieve competitive advantage, it is seldom as easily managed in practice. Building on insights from ZGH we illustrate that to enable knowledge development and mutual learning, top‐management from the acquiring firm needs to emphasize learning and trust the acquired firm rather than controlling it. It is equally important that the acquired firm trust the intentions of the new owner and reflect on the interest in learning—not least to improve and remain valuable.
Pay for beauty? A contingent perspective of CEO facial attractiveness on CEO compensation
Authors: Li Mingxiang , Triana María del Carmen , Byun Seo‐Young , Chapa Olga 
Published: November 2021

AbstractThe physical attractiveness stereotype maintains that what is beautiful is good. Does this also apply to Chief Executive Officers (CEOs) and influence their compensation? There are numerous debates on CEO compensation, and scholars have long been interested in understanding the factors that impact CEO compensation. Of the empirical studies investigating the antecedents of CEO compensation, little attention has been paid to CEO facial attractiveness. Drawing mainly from the physical attractiveness stereotype, we argue that CEO attractiveness increases CEO compensation, and the effect becomes stronger when the CEO has worked as a CEO in other firms, but weaker when the CEO is female or works for a high‐technology firm. We tested our hypotheses by coding facial attractiveness for all CEOs in S&P 500 firms over 10 years (861 CEOs and 4,395 firm‐year observations). Results partly support our predictions and show that the effect of CEO facial attractiveness on compensation is not only robust but also economically significant. Moderating effects were found using prior CEO experience and high tech industry as moderators. However, we found no moderating effect of CEO gender on the relationship between CEO facial attractiveness and compensation. This study suggests that CEO compensation is not an entirely rational process, and compensation committees appear to be biased in favor of beautiful individuals.
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals
Authors: Ashokkumar S. R. , Anupallavi S. , MohanBabu G. , Premkumar M. , Jeevanantham V. 
Published: November 2021

AbstractEmotions are biologically based psychological states brought on by neurophysiologic changes, variously associated with thoughts, feelings, behavioral responses, and a degree of pleasure or displeasure. In order to assure active collaboration and trigger appropriate emotional input, accurate identification of human emotions is important. Poor generalization capacity induced by individual variations in emotion perceptions is indeed a concern in the current methods of emotion recognition. This work proposes a new dynamic pattern learning system based on entropy to allow electroencephalogram (EEG) signals for subject‐independent emotion recognition with strong generalization and classification through Recurrent Neural Network and Ensemble learning. First, dynamic entropy measurements are used to derive consecutive entropy values over time from EEG signals in quantitative EEG calculations. Experiment findings indicate that in order to distinguish negative and positive emotions, the highest average accuracy of 94.67% is achieved. In addition, the findings have completely shown that this approach produces outstanding performance for emotion detection across individuals relative to recent studies.
Pharmacists role in addressing health disparities—Part 1: Social determinants of health and their intersectionality with medication use, health care utilization, and health outcomes
Authors: Osae Sharmon P. , Chastain Daniel B. , Young Henry N. 
Published: November 2021

AbstractHealth disparities or extreme gaps of health care across different groups of people are resulting in consequences for many Americans today. Pharmacists have an opportunity to play an important role in addressing health disparities across many populations. Contextualizing root causes of gaps in health care and outcomes and identifying potential solutions to address those root causes are important initial steps pharmacists can take to combat health disparities. In part 1 of this narrative review, social determinants of health (SDOH) are discussed to provide a framework for understanding health disparities highlighting the interconnectivity between SDOH, medication use, and health care utilization and outcomes. In part 2, recommendations for actionable interventions to pursue health equity are provided. PubMed and Web of Science were searched to identify articles published from inception until May 9, 2021. Articles in English were screened by title and abstract for relevance to pharmacists' involvement in addressing health disparities. References from identified journal articles were also screened to identify further relevant articles. Identifying potential solutions to address health disparities requires an understanding of contributing factors affecting gaps in health care and outcomes. Pharmacists are uniquely positioned to lead the charge in transforming current health systems to create a reduction of health disparities within our societies.
Guidance for emergency medicine pharmacists to improve care for people with opioid use disorder
Authors: Kelsch Jordan R. , Bailey Abby M. , Baum Regan A. , Metts Elise L. , Weant Kyle A. 
Published: November 2021

AbstractThe Emergency Medicine Pharmacist (EMP) is uniquely trained to play a vital role in the management of patients who use opioids and patients with opioid use disorder (OUD). The emergency department (ED) is at the forefront of the opioid epidemic, as it serves as a primary place of treatment for patients experiencing opioid overdose, opioid withdrawal, and other complications related to opioid use. Given the size of the epidemic and the limited availability of treatment facilities and providers, the ED provides an opportunity to meet the needs of this patient population. Emergency Medicine Pharmacists can take an active role in the expansion of access to treatment of OUD, overdose education and prevention, and harm‐reduction interventions. Emergency Medicine Pharmacists have the ability to identify patients who would benefit from therapy, initiate appropriate treatment, provide patient counseling and education, lead the development of institution‐specific protocols and clinical decision tools, and assist in the evaluation of current strategies at their institution. Emergency Medicine Pharmacists' knowledge and understanding of the pharmacology of the drugs used to treat OUD is unique and should be utilized to improve patient care for this population. Further, EMPs are poised to limit the emergence of OUD before it begins through the implementation of opioid stewardship activities both within the ED and upon discharge. This article seeks to review the ways in which EMPs can support efforts in the ED to improve the care of people with OUD.
Clinical genetic counselor experience in the adoption of telehealth in the United States and Canada during the COVID‐19 pandemic
Authors: Ma Daria , Ahimaz Priyanka R. , Mirocha James M. , Cook Lola , Giordano Jessica L. , Mohan Pooja , Cohen Stephanie A. 
Published: November 2021

AbstractThe COVID‐19 pandemic has significantly impacted the service delivery model (SDM) of clinical genetic counseling across the United States and Canada. A cross‐sectional survey was distributed to 4,956 genetic counselors (GCs) from the American Board of Genetic Counselors and Canadian Association of Genetic Counselors mailing lists in August 2020 to assess the change in utilization of telehealth for clinical genetic counseling during the COVID‐19 pandemic compared with prior to the pandemic. Data from 411 eligible clinical genetic counselors on GC attitudes and their experiences prior to and during the pandemic were collected and analyzed to explore the change in SDM, change in appointment characteristics, change in billing practices, GC perceived benefits and limitations of telehealth, and prediction of future trends in SDM in the post‐pandemic era. The study showed the overall utilization of audiovisual and telephone encounters increased by 43.4% and 26.2%, respectively. The majority of respondents who provided audiovisual and telephone encounters reported increased patient volume compared with prior to the pandemic, with an average increase of 79.4% and 42.8%, respectively. There was an increase of 69.4% of GCs rendering genetic services from home offices. The percentage of participants who billed for telehealth services increased from 45.7% before the pandemic to 80.3% during the pandemic. The top GC perceived benefits of telehealth included safety for high‐risk COVID patients (95.2%) and saved commute time for patients (94.7%). The top GC perceived limitations of telehealth included difficulty to conduct physician evaluation/coordinating with healthcare providers (HCP) (73.7%) and difficulty addressing non‐English speaking patients (68.5%). Overall, 89.6% of GCs were satisfied with telehealth; however, 55.3% reported uncertainty whether the newly adopted SDM would continue after the pandemic subsides. Results from this study demonstrate the rapid adoption of telehealth for clinical genetic counseling services as a result of the COVID‐19 pandemic, an increase in billing for these services, and support the feasibility of telehealth for genetic counseling as a longer term solution to reach patients who are geographically distant.
Redefining the high‐grade B cell lymphoma with double/triple rearrangements of MYC and BCL2/BCL6 genes. Learning from a case report
Authors: Rodríguez‐Pinilla Socorro María , Salgado Rocío Nieves , Chamizo Cristina , Santonja Carlos , Stewart Peter , Carvajal Nerea , McCafferty Neil , Manso Rebeca , Morillo Daniel , Piris Miguel Ángel , González de Castro David 
Published: November 2021

AbstractWe report a patient initially diagnosed with a triple hit high‐grade B cell lymphoma (HGBL‐TH), in which further morphologic, immunohistochemical, and next‐generation sequencing studies of subsequent specimens disclosed it to be a germinal center diffuse large B cell lymphoma (GC‐DLBCL) with BCL2/BCL6 gene translocations, PVT1‐deletion, and gain of MYC genes evolving from a previous follicular lymphoma. However, fluorescence in situ hybridization (FISH) studies with the break‐apart probe for MYC gene showed a fusion and two separated signals (red and green, respectively) leading to the interpretation of MYC gene translocation and a false diagnosis of a TH‐lymphoma, according to the recent WHO classification. Nevertheless, PVT1 deletion plus MYC gain/amplification has been described as a cause of the double‐hi transcription profile. These data highlight the need for new criteria to identify these highly aggressive lymphomas.