bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness
Authors: Mainali Shraddha , Aiyagari Venkatesh , Alexander Sheila , Bodien Yelena , Boerwinkle Varina , Boly Melanie , Brown Emery , Brown Jeremy , Claassen Jan , Edlow Brian L. , Fink Ericka L. , Fins Joseph J. , Foreman Brandon , Frontera Jennifer , Geocadin Romergryko G. , Giacino Joseph , Gilmore Emily J. , Gosseries Olivia , Hammond Flora , Helbok Raimund , Claude Hemphill J. , Hirsch Karen , Kim Keri , Laureys Steven , Lewis Ariane , Ling Geoffrey , Livesay Sarah L. , McCredie Victoria , McNett Molly , Menon David , Molteni Erika , Olson DaiWai , O’Phelan Kristine , Park Soojin , Polizzotto Len , Javier Provencio Jose , Puybasset Louis , Venkatasubba Rao Chethan P. , Robertson Courtney , Rohaut Benjamin , Rubin Michael , Sharshar Tarek , Shutter Lori , Sampaio Silva Gisele , Smith Wade , Stevens Robert D. , Thibaut Aurore , Vespa Paul , Wagner Amy K. , Ziai Wendy C. , Zink Elizabeth , I Suarez Jose ,   the Curing Coma Campaign collaborators
Published: May 2022

AbstractThis proceedings article presents actionable research targets on the basis of the presentations and discussions at the 2nd Curing Coma National Institutes of Health (NIH) symposium held from May 3 to May 5, 2021. Here, we summarize the background, research priorities, panel discussions, and deliverables discussed during the symposium across six major domains related to disorders of consciousness. The six domains include (1) Biology of Coma, (2) Coma Database, (3) Neuroprognostication, (4) Care of Comatose Patients, (5) Early Clinical Trials, and (6) Long-term Recovery. Following the 1st Curing Coma NIH virtual symposium held on September 9 to September 10, 2020, six workgroups, each consisting of field experts in respective domains, were formed and tasked with identifying gaps and developing key priorities and deliverables to advance the mission of the Curing Coma Campaign. The highly interactive and inspiring presentations and panel discussions during the 3-day virtual NIH symposium identified several action items for the Curing Coma Campaign mission, which we summarize in this article.
Immediate versus staged revascularisation of non-culprit arteries in patients with acute coronary syndrome: a systematic review and meta-analysis
Authors: Vriesendorp P. A. , Wilschut J. M. , Diletti R. , Daemen J. , Kardys I. , Zijlstra F. , Van Mieghem N. M. , Bennett J. , Esposito G. , Sabate M. , den Dekker W. K. 
Published: May 2022

AbstractAlthough there is robust evidence that revascularisation of non-culprit vessels should be pursued in patients presenting with an acute coronary syndrome (ACS) and multivessel coronary artery disease (MVD), the optimal timing of complete revascularisation remains disputed. In this systematic review and meta-analysis our results suggest that outcomes are comparable for immediate and staged complete revascularisation in patients with ACS and MVD. However, evidence from randomised controlled trials remains scarce and cautious interpretation of these results is recommended. More non-biased evidence is necessary to aid future decision making on the optimal timing of complete revascularisation.
Alcoholschade voor de drinker zelf en (anderen in) de maatschappij
Authors: Voogt Carmen , Vromans Linde , Kools Nathalie , van Hasselt Ninette 
Published: May 2022

SamenvattingWereldwijd is alcoholgebruik een van de oorzaken van een groot deel van de (vermijdbare) ziektelast. Het heeft negatieve gevolgen voor de drinker zelf en voor (anderen in) de maatschappij. Zo hangt alcoholgebruik samen met ongeveer 200 verschillende aandoeningen en ziekten, waaronder verslaving, kanker en hart- en vaatziekten. Ook is alcoholgebruik gerelateerd aan risico’s, zoals verkeersongevallen, geweld en de fetal alcohol spectrum disorder. Hierbij is de schade veelal voor de ander. Dit artikel geeft op basis van een quickscan van de literatuur een beeld van de omvang van de schade die door alcoholgebruik wordt veroorzaakt, voor de drinker zelf en (anderen in) de maatschappij. Hoewel het beeld niet allesomvattend is, geeft deze quickscan wel een helder beeld van de huidige stand van de wetenschappelijke kennis.
In Vitro Inactivation of Respiratory Viruses and Rotavirus by the Oral Probiotic Strain Weissella cibaria CMS1
Authors: Kang Mi-Sun , Park Geun-Yeong 
Published: May 2022

AbstractWeissella cibaria CMS1 (oraCMS1) has been commercially used in Korea as an oral care probiotic for several years. Human respiratory syncytial virus (RSV) and the influenza A virus (H1N1) are representative viruses that cause infantile lower respiratory tract infections. Rotavirus A (RVA) is the most common cause of diarrhea in infants and young children. Here, we aimed to evaluate the efficacy of the cell-free supernatant (CFS) of oraCMS1 in inactivating RSV, H1N1, and RVA in suspension as per ASTM (American Society for Testing and Materials) E1052-20. The mixture of oraCMS1 and these viruses was evaluated at contact times of 1, 2, and 4 h. Virucidal activity was measured using a 50% tissue culture infective dose assay (log10TCID50) after infecting the host cells with the viruses. The CFS of oraCMS1 inactivated RSV by up to 99.0% after 1 h and 99.9% after 2 and 4 h, and H1N1 and RVA were inactivated by up to 99.9% and 99.0% at 2 h, respectively. Although these in vitro results cannot be directly interpreted as implying clinical efficacy, our findings suggest that oraCMS1 provides a protective barrier against RSV, H1N1, and RVA, and therefore, it can help decrease the risk of respiratory tract and intestinal infections.
The effect of organic acids and storage temperature on lite salad dressing rheology and Zygosaccharomyces parabailii growth
Authors: Meldrum Alexander D. , Ünlü Gülhan , Joyner Helen 
Published: May 2022

AbstractZygosaccharomyces parabailii (Z. parabailii) causes spoilage in salad dressings due to its tolerance to osmotic pressure. The objective of this study was to determine the effect of organic acids and storage temperatures (4, 10, and 25 °C) on Z. parabailii growth and salad dressing mechanical properties. Acetic, lactic, and gluconic acids were used alone and in combination to acidify salad dressing. Z. parabailii-challenged formulations containing acetic acid alone tended to have lower counts of Z. parabailii when compared to Z. parabailii-challenged formulations containing other acid combinations. Overall, storage temperature had the most impact on Z. parabailii growth over a 45-day storage. Acidulant type and combination impacted salad dressing mechanical properties. During the 45-day storage period, all formulations showed increased viscosity, a Herschel–Bulkley viscosity profile, and elastic-dominant viscoelastic behavior. The degree of change in rheological behaviors over time was dependent on the type of acid used in the formulation.
On the Base Point Locus of Surface Parametrizations: Formulas and Consequences
Authors: Cox David A. , Pérez-Díaz Sonia , Sendra J. Rafael 
Published: May 2022

AbstractThis paper shows that the multiplicity of the base point locus of a projective rational surface parametrization can be expressed as the degree of the content of a univariate resultant. As a consequence, we get a new proof of the degree formula relating the degree of the surface, the degree of the parametrization, the base point multiplicity and the degree of the rational map induced by the parametrization. In addition, we extend both formulas to the case of dominant rational maps of the projective plane and describe how the base point loci of a parametrization and its reparametrizations are related. As an application of these results, we explore how the degree of a surface reparametrization is affected by the presence of base points.
A Fuzzy Multi Objective Inventory Model with Production Cost and Set-up-Cost Dependent on Population
Authors: Das Satya Kumar 
Published: May 2022

AbstractIn this paper, I have developed a multi item production inventory model for the non-deteriorating items with constant demand rate under the limitation on set up cost. The production price and set-up price are the most vital problem within the inventory system of the marketplace in international. Here the production cost is dependent on the demand as well as populations. Set up cost is dependent on the average inventory level. Holding cost is the most challenging issue in the business world. In order to reduce the holding cost, the holding cost function has been considered as on the number of peoples. Due to uncertainty all the cost parameters are taken as the generalized triangular fuzzy number. Multi objective fuzzy inventory model has been solved by various techniques like Fuzzy programming technique with hyperbolic membership function, Fuzzy non-linear programming technique and Fuzzy additive goal programming technique. Numerical example is given to illustrate the inventory model. Sensitivity analysis and the graphical representations have been shown to illustrate the reality of the inventory model.
Consumer Collective Redress in Bosnia and Herzegovina: A Mechanism (Still) Waiting to Be Triggered
Authors: Meškić Zlatan 
Published: May 2022

AbstractBosnia and Herzegovina has been one of the first European states to introduce a generous consumer collective redress mechanism. It was established under the influence of the EU, the United States and former Yugoslav law. The legislation of Bosnia and Herzegovina provides an excellent opportunity to examine to which extent the collective redress remedies emanating from different legal traditions may co-exist and function together. The number and variety of collective consumer remedies in Bosnia and Herzegovina is quite impressive. But the mechanism has still not been used because of the weaknesses of those who are supposed to trigger it. The very generous solutions for consumer associations and a specialized Ombudsman for Consumer Protection, both with wide powers to initiate collective proceedings, have not proved to be sufficient. The lack of appropriate funding has so far been an obstacle that is too great for any collective initiative. It also does not help that legislation allows traders to file for compensation in the case of unfounded collective claims when the reputation and business of the trader have been seriously harmed. The new EU Directive on consumer representative actions will certainly require further reforms in Bosnia and Herzegovina, especially with regard to collective claims for damages. This will provide the legislator with the opportunity not only to introduce more options for collective redress, but also to add the missing pieces of the jigsaw so that the mechanism finally fulfils its purpose of providing legal protection for consumers.
Feature extraction with spectral clustering for gene function prediction using hierarchical multi-label classification
Authors: Romero Miguel , Ramírez Oscar , Finke Jorge , Rocha Camilo 
Published: May 2022

AbstractGene annotation addresses the problem of predicting unknown associations between gene and functions (e.g., biological processes) of a specific organism. Despite recent advances, the cost and time demanded by annotation procedures that rely largely on in vivo biological experiments remain prohibitively high. This paper presents a novel in silico approach for to the annotation problem that combines cluster analysis and hierarchical multi-label classification (HMC). The approach uses spectral clustering to extract new features from the gene co-expression network (GCN) and enrich the prediction task. HMC is used to build multiple estimators that consider the hierarchical structure of gene functions. The proposed approach is applied to a case study on Zea mays, one of the most dominant and productive crops in the world. The results illustrate how in silico approaches are key to reduce the time and costs of gene annotation. More specifically, they highlight the importance of: (1) building new features that represent the structure of gene relationships in GCNs to annotate genes; and (2) taking into account the structure of biological processes to obtain consistent predictions.
A potential controlling approach on surface ozone pollution based upon power big data
Authors: Wang Xin , Gu Weihua , Wang Feng , Liu Li , Wang Yu , Han Xuemin , Xie Zhouqing 
Published: May 2022

AbstractSurface ozone pollution has attracted extensive attention with the decreasing of haze pollution, especially in China. However, it is still difficult to efficiently control the pollution in time despite numbers of reports on mechanism of ozone pollution. Here we report a method for implementing effective control of ozone pollution through power big data. Combining the observation of surface ozone, NO2, meteorological parameters together with hourly electricity consumption data from volatile organic compounds (VOCs) emitting companies, a generalized additive model (GAM) is established for quantifying the influencing factors on the temporal and spatial distribution of surface ozone pollution from 2020 to 2021 in Anhui province, central China. The average R2 value for the modelling results of 16 cities is 0.82, indicating that the GAM model effectively captures the characteristics of ozone. The model quantifies the contribution of input variables to ozone, with both NO2 and industrial VOCs being the main contributors to ozone, contributing 33.72% and 21.12% to ozone formation respectively. Further analysis suggested the negative correlation between ozone and NO2, revealing VOCs primarily control the increase in ozone. Under scenarios controlling for a 10% and 20% reduction in electricity use in VOC-electricity sensitive industries that can be identified by power big data, ozone concentrations decreased by 9.7% and 19.1% during the pollution period. This study suggests a huge potential for controlling ozone pollution through power big data and offers specific control pathways.
Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and Systems
Authors: Elkobaisi Mohammed R. , Al Machot Fadi , Mayr Heinrich C. 
Published: May 2022

AbstractEmotions are an essential part of a person’s mental state and influence her/his behavior accordingly. Consequently, emotion recognition and assessment can play an important role in supporting people with ambient assistance systems or clinical treatments. Automation of human emotion recognition and emotion-aware recommender systems are therefore increasingly being researched. In this paper, we first consider the essential aspects of human emotional functioning from the perspective of cognitive psychology and, based on this, we analyze the state of the art in the whole field of work and research to which automated emotion recognition belongs. In this way, we want to complement the already published surveys, which usually refer to only one aspect, with an overall overview of the languages ontologies, datasets, and systems/interfaces to be found in this area. We briefly introduce each of these subsections and discuss related approaches regarding methodology, technology, and publicly accessible artefacts. This comes with an update to recent findings that could not yet be taken into account in previous surveys. The paper is based on an extensive literature search and analysis, in which we also made a particular effort to locate relevant surveys and reviews. The paper closes with a summary of the results and an outlook on open research questions.
Combining Survey, Soil Coring, and GIS Methods to Improve Reservoir Capacity Estimates in the Maya Lowlands
Authors: Marken Damien B. , Ricker Matthew C. , Austin Robert 
Published: May 2022

ABSTRACTThis study reports water capacity estimates for four reservoirs within the Classic Maya city of El Perú-Waka’, Guatemala. Combining field survey, soil analysis, and a variety of GIS interpolation methods, it illustrates ways to more fully quantify a challenging resource—water—and its availability using an interdisciplinary approach. This is accomplished by comparing surface interpolation methods for estimating reservoir capacities to demonstrate that most provide reliable estimates. Reported estimates are further enhanced by analyzing internal reservoir soil morphology to better understand and quantify formation processes and refine estimates from field survey. These analyses document a multiscalar organization to water management within the Waka’ urban core that likely ran the gamut from individuals up to civic and state institutions. Although intricacies remain to be fully elucidated, this example offers an alternate path to theorizing about water management practices from traditional binary approaches.
Decision-Making During a Disaster-Scenario Tabletop Exercise by Prelicensure Student Nurses – A Replication Study
Authors: Evans Cathleen A. , Perks Joan , O’Kane Linda 
Published: May 2022

Abstract

Objective:
“Determine which clients to recommend for discharge in a disaster situation” is a Registered Nurse Activity Statement on the National Council Licensing Exam test plan. The activity statement raised the nursing education research question: could senior student nurses transfer their learning to a novel circumstance, with a high degree of risk, making decisions using patient assessments and determining resource needs? A study with a descriptive quantitative approach was designed with 2 aims. The first was to describe students’ transfer of learning for basic disaster and medical-surgical knowledge and make recommendations for patient dispositions. The second aim was to describe students’ attitudes about their transfer of learning during the tabletop exercise.

Methods:
A researcher-designed disaster-scenario tabletop exercise and 3 instruments with subject-matter-expert feedback captured participants’ decisions. Eligible senior student nurses volunteered to participate in the replicated study that was extended to 2 universities. Participant decisions and attitude responses were statistically analyzed.

Results:
Descriptive and difficulty index statistics described students’ transfer of learning for basic disaster and medical-surgical topics, patient disposition recommendations, and attitudes. The cut-score for optimal transfer of learning was difficulty index (DI) ≤ .49.

Conclusions:
Students had positive attitudes and transferred learning to most decisions. Decision DIs ≤ .49 were remediated.
The investigation of environmental sustainability within product design: a critical review
Authors: Delaney Emelia , Liu Wei , Zhu Zicheng , Xu Yuchun , Dai Jian S. 
Published: May 2022

Abstract
Sustainability encompasses social, economic and environmental issues with the primary aim to fulfil the needs of the present society without compromising the potential needs of future generations. Product design has been identified to greatly influence the sustainability of New Product Development. This study aims to identify and review the fundamental factors in which product design has the ability to influence and improve the overall environmental sustainability of a product. A comprehensive literature review has been performed to establish trends over the past four decades. The factors that have significant potential, such as the 6Rs, waste and energy, which aid designers in the implementation of environmental sustainability during the product design process have been identified and discussed. Through this analysis, a new conceptual framework has been conceived, facilitating designers in implementing environmental sustainability during product development. In addition, future research opportunities have been identified.
Escaping the Corset: Rage as a Force of Resistance and Creation in the Korean Feminist Movement
Authors: Yun Ji-Yeong 
Published: May 2022

AbstractThis article explores rage in the context of Korean feminist movements. Rage as a corporeal force can be combined with other emotional modalities to achieve consistency, durability, efficiency, and intensity. These modalities are interdependent, and rage, in relation to indignation, becomes a revolutionary affect that changes power dynamics. Women's indignant rage challenges the patriarchal value system and increases women's agency. Korean women deploy the politics of rage to “Escape the Corset” and free themselves from the oppressive devices—patriarchal family structures and traditional notions of femininity and beauty—that oppress women's bodies. The “Escape the Corset” movement, driven by indignant rage, materializes the possibility of resistance and creation that puts an end to the phallic economy of desire and meaning, and it elaborates a new modality of women's life cycle and relation to the world. Unlike indignant rage, a feminist revolutionary tool, rage combined with hatred is a conservative affect that annihilates the possibility of change and maintains the status quo. The politics of rage promotes a deconstruction of the patriarchal system, joining with a subversive and cathartic joy that contains hope for a more just future.
ON HIGHER TORSION CLASSES
Authors: ASADOLLAHI JAVAD , JØRGENSEN PETER , SCHROLL SIBYLLE , TREFFINGER HIPOLITO 
Published: May 2022

AbstractBuilding on the embedding of an n-abelian category
$\mathscr {M}$
into an abelian category
$\mathcal {A}$
as an n-cluster-tilting subcategory of
$\mathcal {A}$
, in this paper, we relate the n-torsion classes of
$\mathscr {M}$
with the torsion classes of
$\mathcal {A}$
. Indeed, we show that every n-torsion class in
$\mathscr {M}$
is given by the intersection of a torsion class in
$\mathcal {A}$
with
$\mathscr {M}$
. Moreover, we show that every chain of n-torsion classes in the n-abelian category
$\mathscr {M}$
induces a Harder–Narasimhan filtration for every object of
$\mathscr {M}$
. We use the relation between
$\mathscr {M}$
and
$\mathcal {A}$
to show that every Harder–Narasimhan filtration induced by a chain of n-torsion classes in
$\mathscr {M}$
can be induced by a chain of torsion classes in
$\mathcal {A}$
. Furthermore, we show that n-torsion classes are preserved by Galois covering functors, thus we provide a way to systematically construct new (chains of) n-torsion classes.
MWA tied-array processing IV: A multi-pixel beamformer for pulsar surveys and ionospheric corrected localisation
Authors: Swainston N. A. , Bhat N. D. R. , Morrison I. S. , McSweeney S. J. , Ord S. M. , Tremblay S. E. , Sokolowski M. 
Published: May 2022

AbstractThe Murchison Widefield Array (MWA) is a low-frequency aperture array capable of high-time and frequency resolution astronomy applications such as pulsar studies. The large field-of-view of the MWA (hundreds of square degrees) can also be exploited to attain fast survey speeds for all-sky pulsar search applications, but to maximise sensitivity requires forming thousands of tied-array beams from each voltage-capture observation. The necessity of using calibration solutions that are separated from the target observation both temporally and spatially makes pulsar observations vulnerable to uncorrected, frequency-dependent positional offsets due to the ionosphere. These offsets may be large enough to move the source away from the centre of the tied-array beam, incurring sensitivity drops of${\sim}30{-}50\%$in Phase II extended array configuration. We analyse these offsets in pulsar observations and develop a method for mitigating them, improving both the source position accuracy and the sensitivity. This analysis prompted the development of a multi-pixel beamforming functionality that can generate dozens of tied-array beams simultaneously, which runs a factor of ten times faster compared to the original single-pixel version. This enhancement makes it feasible to observe multiple pulsars within the vast field of view of the MWA and supports the ongoing large-scale pulsar survey efforts with the MWA. We explore the extent to which ionospheric offset correction will be necessary for the MWA Phase III and the low-frequency square kilometre array (SKA-low).