bluuebunny/crossref_metadata_2025_split huggingface dataset:
National Blood Shortage: A Call to Action from the Trauma Community
Authors: Stein Deborah M. , Upperman Jeffrey S. , Livingston David H. , Andrews Jennifer , Bulger Eileen M. , Cohen Mitchell Jay , Eastridge Brian J. , Fontaine Magali J. , Guillamondegui Oscar , Hess John R. , Jenkins Donald H. , Kaups Krista L. , Nance Michael L. , Spinella Philip C. , Zarzaur Ben L. , Zonies David , Coimbra Raul 
Published: May 2022

Abstract
The COVID-19 pandemic revealed vulnerabilities within the healthcare system in the United States. Blood product scarcity is one of the more serious nationwide consequences of pandemic-related disruptions. US physicians relied on an uninterrupted and relatively abundant blood supply for most of the last century. The availability of blood allowed clinicians to advance healthcare and save lives. During disasters, mass casualty events, and other regional episodes that lead to increased demand or disruptions in supply, the regionalized blood supply system has proven resilient and has been able to meet these needs. However, due to the pandemic, there are marked reductions in blood bank outreach activities and blood drives. In addition, there is a shortage in supplies and trained workers resulting in distribution problems, thus, a nationwide “Blood Supply Crisis”.
While many physicians utilize blood products in providing care for their patients, trauma surgeons are uniquely positioned to comment on the current blood shortage crisis due to their often-urgent reliance on this proven lifesaving intervention. Trauma surgeons use blood products to replace blood lost due to life-threatening hemorrhage and utilize component therapy to replace coagulation factors specifically. Trauma surgeons and staff are involved in disaster planning in many cities, states, and regions. We convened an ad hoc multidisciplinary national task force for these reasons recognizing the need for thoughtful and pragmatic discussion. The group included diverse stakeholders from major trauma organizations and governmental agencies as well as disaster preparedness and transfusion medicine experts. The panel then made recommendations based on lessons learned during the pandemic. The overarching goals of these recommendations are to shed light on the tenuous blood supply and start a national dialogue on strategic planning for this valuable resource. Short- and long-term recommendations were developed by consensus and are discussed.

Level of Evidence
N/A
Amyloid and Tau PET positive cognitively unimpaired individuals: Destined to decline?
Authors: Ossenkoppele Rik , Binette Alexa Pichet , Groot Colin , Smith Ruben , Strandberg Olof , Palmqvist Sebastian , Stomrud Erik , Tideman Pontus , Ohlsson Tomas , Jögi Jonas , Johnson Keith , Sperling Reisa , Dore Vincent , Masters Colin L. , Rowe Christopher , Visser Denise , van Berckel Bart N.M. , van der Flier Wiesje M. , Baker Suzanne , Jagust William J. , Wiste Heather J. , Petersen Ronald C. , Jack Clifford R. , Hansson Oskar 
Published: May 2022

ABSTRACTA major unanswered question in the dementia field is whether cognitively unimpaired individuals who harbor both Alzheimer’s disease (AD) neuropathological hallmarks (i.e., amyloid-β plaques and tau neurofibrillary tangles) can preserve their cognition over time or are destined to decline. In this large multi-center amyloid and tau PET study (n=1325), we examined the risk for future progression to mild cognitive impairment and the rate of cognitive decline over time among cognitively unimpaired individuals who were amyloid PET-positive (A+) and tau PET positive (T+) in the medial temporal lobe (A+TMTL+) and/or in the neocortex (A+TNEO+) and compared them with A+T- and A-T-groups. Cox proportional hazard models showed a substantially increased risk for progression to mild cognitive impairment in the A+TNEO+ (Hazard ratio [HR]=19.2[95% confidence interval: 10.9-33.7]), A+TMTL+ (HR=14.6[8.1-26.4) and A+T-(HR=2.4[1.4-4.3]) groups vs the A-T-(reference) group. Linear mixed effect models indicated that the A+TNEO+ (β=-0.056±0.005, T=-11.55, p<0.001), A+TMTL+ (β=-0.024±0.005, T=-4.72, p<0.001) and A+T-(β=-0.008±0.002, T=-3.46, p<0.001) groups showed significantly faster longitudinal global cognitive decline compared to the A-T-(reference) group (all p<0.001). Evidence of advanced AD pathological changes provided by amyloid and tau PET is strongly associated with short-term (i.e., 3-5 years) cognitive decline in cognitively unimpaired individuals and is therefore of high clinical relevance.
Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia
Authors: Real Raquel , Martinez-Carrasco Alejandro , Reynolds Regina H. , Lawton Michael A. , Tan Manuela M. X. , Shoai Maryam , Corvol Jean-Christophe , Ryten Mina , Bresner Catherine , Hubbard Leon , Brice Alexis , Lesage Suzanne , Faouzi Johann , Elbaz Alexis , Artaud Fanny , Williams Nigel , Hu Michele T. M. , Ben-Shlomo Yoav , Grosset Donald G. , Hardy John , Morris Huw R. 
Published: May 2022

AbstractParkinson’s disease (PD) is one of the most common age-related neurodegenerative disorders. Although predominantly a motor disorder, cognitive impairment and dementia are important features of PD, particularly in the later stages of the disease. However, the rate of cognitive decline varies widely among PD patients, and the genetic basis for this heterogeneity is incompletely understood. Here, we have analysed 3,964 clinically diagnosed PD cases to explore the genetic factors associated with rate of progression to PD dementia. Genome-wide survival analysis identified the APOE-ε4 allele as a major risk factor for the conversion to PD dementia, as well as three new loci, including the ApoE and APP receptor LRP1B. Biomarker analysis also implicates the amyloid pathway in PD dementia, suggesting that amyloid-targeting therapy may have an important role in preventing PDD.
Estimation of Periodic Signals with Applications to Deep Brain Stimulation
Authors: Chen Paula , Kim Taewoo , Goodman Wayne K. , Borton David A. , Harrison Matthew T. , Darbon Jérôme 
Published: May 2022

AbstractDeep brain stimulation (DBS) therapies have shown clinical success in the treatment of a number of neurological illnesses, including obsessive-compulsive disorder, depression, and Parkinson’s disease. An emerging strategy for increasing the efficacy of DBS therapies is to develop closed-loop, adaptive DBS systems that can sense biomarkers associated with particular symptoms and in response, adjust DBS parameters in realtime. The development of such systems requires extensive analysis of the underlying neural signals while DBS is on, so that candidate biomarkers can be identified and the effects of varying the DBS parameters can be better understood. However, DBS creates high amplitude, high frequency stimulation artifacts that prevent the underlying neural signals and thus the biological mechanisms underlying DBS from being analyzed. Additionally, DBS devices often require low sampling rates, which alias the artifact frequency, and rely on wireless data transmission methods that can create signal recordings with missing data of unknown length. Thus, traditional artifact removal methods cannot be applied to this setting. We present a novel periodic artifact removal algorithm for DBS applications that can accurately remove stimulation artifacts in the presence of missing data and in some cases where the stimulation frequency exceeds the Nyquist frequency. The numerical examples suggest that, if implemented on dedicated hardware, this algorithm has the potential to be used in embedded closed-loop DBS therapies to remove DBS stimulation artifacts and hence, to aid in the discovery of candidate biomarkers in real-time. Code for our proposed algorithm is publicly available on Github.
A common mechanism of temperature-sensing in thermoTRP channels
Authors: Xu Lizhen , Liang Xiao , Zhen Wenxuan , Xue Zhangzhi , Zhang Fangfei , Yi Xiao , Chen Xiaoying , Hu Lidan , Li Bei , Zhang Bing , Wang Yuhang , Deng Zhenfeng , Yang Wei , Wen Han , Guo Tiannan , Zhu Yi , Yang Fan 
Published: May 2022

SUMMARYDetecting temperature is crucial for the survival of living organisms. Though the thermo transient receptor potential (thermoTRP) channels, such as TRPV1 or TRPM8, have been identified as prototypic heat or cold sensors, respectively, how they detect temperature remains elusive. Here we first identified groups of clustered residues in these channels that undergo burial/exposure conformational rearrangements during temperature activation by analyzing available protein structures or hydroxyl radical footprinting-mass spectroscopy (HRF-MS). By systematically perturbing water-protein interactions at these residues, we found that the temperature sensitivity in these channels were modulated in accordance with the sidechain hydrophobicity. The changes in energy associated with changes in water-protein interactions were sufficient for thermo activation. Therefore, our study has established that the water-protein interactions as a common mechanism underlying temperature sensing in TRPM8 and TRPV1.
Dynamin2 stabilizes plasma membrane-connected caveolae by restraining fission
Authors: Larsson Elin , Morén Björn , McMahon Kerrie-Ann , Parton Robert G. , Lundmark Richard 
Published: May 2022

AbstractCaveolae are small membrane invaginations that generally are stably attached to the plasma membrane. Their release is believed to depend on the GTPase dynamin 2 (Dyn2), in analogy with its role in fission of clathrin-coated vesicles. The mechanistic understanding of caveola fission, and in particular the role of Dyn2, is however sparse. Here, we used microscopy-based tracking of individual caveolae in living cells to determine the role of Dyn2 in caveola dynamics. We report that Dyn2 stably associated with a subset of caveolae, but was not required for formation or fission of caveolae. The Dyn2-positive subset of caveolae displayed longer plasma membrane duration times, whereas depletion of Dyn2 resulted in shorter duration times and increased caveola fission. The stabilizing role of Dyn2 was independent of its GTPase activity and the caveola stabilizing protein EHD2. Thus, we propose that, in contrast to the current view, Dyn2 restrains caveolae at the plasma membrane and prevents fission.
Corporate governance impact on dividend policy of NIFTY-500 indexed Indian pharmaceutical companies (2014–2019)
Authors: Pinto Geetanjali , Rastogi Shailesh 
Published: May 2022

Purpose
This study aims to evaluate the influence of corporate governance index (CGI), ownership concentration (OC) and other features on the dividends of listed Indian pharmaceutical companies. The other features included are leverage, excess return over cost of equity and stock-market return. This study thus helps to provide more insights on the dividend distribution issues for a shareholder in the challenging and demanding pharma industry, especially when stakes are high.

Design/methodology/approach
The data for all 26 pharmaceutical companies which form part of the NSE NIFTY-500 index for six years (2014–2019) is procured using Centre for Monitoring Indian Economy’s (CMIEs) Prowess database. An eight-pointer scale (unweighted scale) is used to develop the CGI. For OC, this paper considers the proportion of promoters’ shareholding, domestic institutional investors’ shareholding and foreign owners’ shareholding. Both static and dynamic panel data models are used to evaluate the effect of CGI and OC on dividends.

Findings
The panel data analysis depicts that CGI significantly positively influences the dividends of pharmaceutical companies in India. Thus, the authors find support for La Porta et al.’s outcome agency model. The results also reveal that only promoters’ holdings are significantly inversely related to dividends out of the three OC variables used for this study. This discussion implies that family-run pharmaceutical companies in India tend to retain profits instead of distributing dividends.

Research limitations/implications
This study provides two direct insights for policymakers and stakeholders. First, because this study shows that CGI significantly positively influences dividends, corporate governance (CG) is an essential factor for determining dividends. Second, because the results also reveal that OC in the hands of promoters hurts dividends, it implies that the higher the promoter holding, lesser is the dividend distributed by the company. Both these results can be used as a quantitative tool by investors to assess Indian pharmaceutical companies better. However, a similar study could be directed to assess the impact of CGI and OC on dividends of other industries. Moreover, additional variables of CG and OC can also be evaluated in further detail. There is also a need to empirically validate the impact of CG and OC on a company’s performance.

Originality/value
The results are robust and reveal that variation in CGI does impact dividend policy. This aids in confirming that CG is a crucial aspect influencing dividends. The findings also add to the increasing studies across the globe evaluating the influence of CG and OC on dividends.
Entropy generation minimization of Ag-Fe_3O_4/water-ethylene glycol squeezed hybrid nanofluid flow between parallel disks
Authors: Agrawal Rashmi , Kaswan Pradeep 
Published: May 2022

Purpose
This paper aims to examine the squeezing flow of hybrid nanofluid within the two parallel disks. The 50:50% water–ethylene glycol mixture is used as a base fluid to prepare Ag–Fe_3O_4 hybrid nanofluid. Entropy generation analysis is examined by using the second law of thermodynamics, and Darcy’s modal involves estimating the behavior of a porous medium. The influences of Viscous dissipation, Joule heating and thermal radiation in modeling are further exerted into concern.

Design/methodology/approach
For converting partial differential systems to ordinary systems, a transformation technique is used. For the validation part, the numerical solution is computed by embracing a fourth-order exactness program (bvp4c) and compared with the analytical solution added by the homotopy analysis method (HAM). Graphical decisions expose the values of miscellaneous-arising parameters on the velocity, temperature and local-Nusselt numbers.

Findings
Hybrid nanofluid gives significant enhancement in the rate of heat transfer compared with nanofluid. The outcomes indicate that the average Nusselt number and entropy generation are increasing functions of the magnetic field, porosity and Brinkman number. When the thermal radiation rises, the average Nusselt number diminishes and the entropy generation advances. Furthermore, combining silver and magnetite nanoparticles into the water–ethylene glycol base fluid significantly enhances entropy generation performance.

Originality/value
Entropy generation analysis of the magneto-hydrodynamics (MHD) fluid squeezed between two parallel disks by considering Joule heating, viscous dissipation and thermal radiation for different nanoparticles is addressed. Furthermore, an appropriate agreement is obtained in comparing the numerical results with previously published and analytical results.
“American rice is cleaner”: marketplace hybridity and the cultural transformation of food in the Dominican Republic
Authors: Rosing Howard 
Published: May 2022

PurposeThe article offers a study of the central food marketplace in Santiago, Dominican Republic. The purpose of the study is to explore how changes in the marketplace reflect transformation of urban food systems resulting from neoliberal restructuring during the final decades of the twentieth century.Design/methodology/approachDrawing on long-term qualitative research conducted during the late 1990s and early 2000s, including ethnographic and survey methods, the article illustrates how central urban marketplaces offer a window into transitions in both international and domestic food economies.FindingsResearch findings illustrate that the marketplace in Santiago operated in a state of economic hybridity, intermixing long established regionally produced domestic crops such as yuca, plantains and pigeon peas deeply rooted in Dominican agrarian culture with products dervived from liberalization of the Dominican economy such as imported rice, beans and eventually numerous Dominican food staples.Research limitations/implicationsThe study is limited by the scope of analysis which is one urban marketplace. More sites for researching marketplaces could be added for more comparative analysis.Practical implicationsThe research findings have implications for how governments define social and economic policy that impacts domestic food producers and intermediary brokers that aggregate and debulk food to feed cities.Originality/valueThe scholarship raises questions about how the social and economic organization of urban marketplaces in the Dominican Republic and elsewhere reflect historical transitions in local, national and global economies.
Effect of traffic data set on various machine-learning algorithms when forecasting air quality
Authors: Sulaimon Ismail Abiodun , Alaka Hafiz , Olu-Ajayi Razak , Ahmad Mubashir , Ajayi Saheed , Hye Abdul 
Published: May 2022

Purpose
Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to investigate the effects traffic data set have on the performance of machine learning (ML) predictive models in AQ prediction.

Design/methodology/approach
To achieve this, the authors have set up an experiment with the control data set having only the AQ data set and meteorological (Met) data set, while the experimental data set is made up of the AQ data set, Met data set and traffic data set. Several ML models (such as extra trees regressor, eXtreme gradient boosting regressor, random forest regressor, K-neighbors regressor and two others) were trained, tested and compared on these individual combinations of data sets to predict the volume of PM2.5, PM10, NO2 and O3 in the atmosphere at various times of the day.

Findings
The result obtained showed that various ML algorithms react differently to the traffic data set despite generally contributing to the performance improvement of all the ML algorithms considered in this study by at least 20% and an error reduction of at least 18.97%.

Research limitations/implications
This research is limited in terms of the study area, and the result cannot be generalized outside of the UK as some of the inherent conditions may not be similar elsewhere. Additionally, only the ML algorithms commonly used in literature are considered in this research, therefore, leaving out a few other ML algorithms.

Practical implications
This study reinforces the belief that the traffic data set has a significant effect on improving the performance of air pollution ML prediction models. Hence, there is an indication that ML algorithms behave differently when trained with a form of traffic data set in the development of an AQ prediction model. This implies that developers and researchers in AQ prediction need to identify the ML algorithms that behave in their best interest before implementation.

Originality/value
The result of this study will enable researchers to focus more on algorithms of benefit when using traffic data sets in AQ prediction.
The components of intellectual capital and organisational performance inwaqfinstitutions: evidence from Algeria based on structural equation modelling
Authors: Laallam Abdelkader , Uluyol Burhan , Kassim Salina , Engku Ali Engku Rabiah Adawiah 
Published: May 2022

PurposeThe purpose of this paper is to investigate the relationship between the sub-components of intellectual capital and organisational performance in waqf institutions in Algeria.Design/methodology/approachData was collected through structured questionnaires from a sample of 193 waqf employees working in 23 different provinces in Algeria and analysed using partial least squares – structural equation modelling (PLS-SEM) software to test the path modelling and the relationship between the instruments.FindingsThe results of this research show that human capital, structural capital and spiritual capital have a positive and significant relationship with organisational performance. However, relational capital, social capital and technological capital did not demonstrate any kind of role in the context of waqf institutions in Algeria.Practical implicationsThe findings of this research are of great importance for waqf institutions in Algeria, as they provide a comprehensive screening with regard to organisational performance of these institutions through the lens of intellectual capital. The findings help waqf managers and policy makers consider effective solutions for the weaknesses and challenges impeding the performance of waqf institutions, in the hope of retrieving their role in serving and developing societies.Originality/valueIn the existing body of literature, there is a lack of research focusing on intellectual capital in the context of religious non-profit organisations particularly waqf institutions. Thus, this research adds to the body of knowledge on intellectual capital while highlighting its role and importance within the waqf industry, particularly in the context of Algeria. This research is considered among the primary attempts to investigate the impact of intellectual capital components on the organisational performance of waqf institutions in Algeria.
Mega versus local event sponsorships
Authors: Koo Jakeun , Fink Janet S. , Lee Younghan 
Published: May 2022

PurposeThe present study aims to examine whether event size has a significant impact on consumers' perceptions of goodwill. In the relationship between event size and perceived goodwill, sponsorship duration and sponsor-event congruence are tested as moderating variables.Design/methodology/approachThis study conducts an experiment with a 2 × 2 × 2 between-subjects factorial design.FindingsThe results show the main effects of event size on perceived goodwill, and the moderating effects of sponsorship duration and sponsor-event congruence in the relationship between event size and perceived goodwill. Also, regression analyses test the relationships among the dependent variables including perceived goodwill, attitudes toward the sponsor, and purchase intentions.Originality/valueMarketing practitioners may discover the merits of a corporation sponsoring local events at lower costs, and the importance of duration and congruency.
Decent work among rural-urban migrant workers in China: evidence and challenges
Authors: Han Mingyan , Zhang Maolong , Hu Enhua , Shan Hongmei 
Published: May 2022

PurposeThis study aims to examine how Chinese rural-urban migrant workers' socio-economic status was associated with their decent work.Design/methodology/approachGrounded in the psychology of working theory (PWT), this study tested the path from rural-urban migrant workers' socio-economic status to decent work via work volition, with this path moderated by environmental uncertainty and trade union support. 470 rural-urban migrant workers from four manufacturing enterprises were investigated.FindingsResults indicated that rural-urban migrant workers' socio-economic status was positively associated with rural-urban migrant workers' decent work through work volition. In addition, environmental uncertainty weakened the impact of socio-economic status on work volition while trade union support strengthened the relationship between socio-economic status and work volition.Originality/valueThe study contributes to the growing research on the PWT by testing its utility among rural-urban migrant workers in the Chinese context. The study also identifies the crucial effects of environmental uncertainty and trade union support, which are distinctive characters of contemporary China, in the formation process of rural-urban migrant workers' decent work. A detailed explanation of the results and implications is discussed in the end.