bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forgotten coast, forgotten people: sustainable development and disproportionate impacts from Hurricane Michael in Gulf County, Florida
Authors: Boda Chad S. , Scown Murray W. , Faran Turaj 
Published: October 2021

AbstractA central challenge for sustainable development is how societies are to avoid, minimize or address impacts from anthropogenic climate change. However, competing perspectives on “what should be sustained” lead to widely different understandings of what mitigation, adaptation and loss and damage entail and how best to approach them. We provide a novel conceptual and empirical comparison of two contrasting sustainable development-based approaches to the study of impacts from climate-related extreme events: Capital Theory and capability-based Human Development. We use our analysis of immediate residential property value and housing capacity impacts caused by Hurricane Michael in Gulf County, Florida, to demonstrate how the sustainable development theory used to assess and interpret impacts greatly affects the identification of whom and where is objectively “most impacted.” Through a comparison of the two approaches, we identify relative advantages and disadvantages, emphasizing that while both provide coherent, comprehensive, and integrative approaches to climate-related impact assessment, the capability approach is much less likely to lead researchers and practitioners to overlook the most disadvantaged communities when compared to Capital Theory.
Adipogenic progenitors in different organs: Pathophysiological implications
Authors: Favaretto Francesca , Bettini Silvia , Busetto Luca , Milan Gabriella , Vettor Roberto 
Published: October 2021

AbstractIn physiological conditions, the adipose organ resides in well-defined areas, where it acts providing an energy supply and as an endocrine organ involved in the control of whole-body energy metabolism. Adipose tissue adipokines connect the body’s nutritional status to the regulation of energy balance. When it surrounds organs, it provides also for mechanical protection. Adipose tissue has a complex and heterogenous cellular composition that includes adipocytes, adipose tissue-derived stromal and stem cells (ASCs) which are mesenchymal stromal cells, and endothelial and immune cells, which signal to each other and to other tissues to maintain homeostasis. In obesity and in other nutrition related diseases, as well as in age-related diseases, biological and functional changes of adipose tissue give rise to several complications. Obesity triggers alterations of ASCs, impairing adipose tissue remodeling and adipose tissue function, which induces low-grade systemic inflammation, progressive insulin resistance and other metabolic disorders. Adipose tissue grows by hyperplasia recruiting new ASCs and by hypertrophy, up to its expandability limit. To overcome this limitation and to store the excess of nutrients, adipose tissue develops ectopically, involving organs such as muscle, bone marrow and the heart. The origin of ectopic adipose organ is not clearly elucidated, and a possible explanation lies in the stimulation of the adipogenic differentiation of mesenchymal precursor cells which normally differentiate toward a lineage specific for the organ in which they reside. The chronic exposition of these newly-formed adipose depots to the pathological environment, will confer to them all the phenotypic characteristics of a dysfunctional adipose tissue, perpetuating the organ alterations. Visceral fat, but also ectopic fat, either in the liver, muscle or heart, can increase the risk of developing insulin resistance, type 2 diabetes, and cardiovascular diseases. Being able to prevent and to target dysfunctional adipose tissue will avoid the progression towards the complications of obesity and other nutrition-related diseases. The aim of this review is to summarize some of the knowledge regarding the presence of adipose tissue in particular tissues (where it is not usually present), describing the composition of its adipogenic precursors, and the interactions responsible for the development of organ pathologies.
Reactivity of selected markers of innate and adaptive immunity in rabbits experimentally infected with antigenic variants of RHD (Lagovirus europaeus/GI.1a)
Authors: Niedźwiedzka-Rystwej Paulina , Tokarz-Deptuła Beata , Deptuła Wiesław 
Published: October 2021

AbstractLagovirus europaeus/GI.1 causes a fatal viral condition in rabbits characterized by acute viral hepatitis and disseminated intravascular coagulation. Due to rapid viral and environmental changes variants (Lagovirus europaeus/GI.1a and GI.2) have appeared and few immunological studies were performed. The aim of the study was to determine innate and adaptive immunity parameters in rabbits infected with six Lagovirus europeus/GI.1a viruses. To achieve the goal several methods were used, i.e. cytometry, microscopy, biochemical and cytochemical tests, spectrophotometry. The results show that three immunotypes exists among the studied strains and they differ in innate (mainly) and adaptive immunity, partly depending on hemagglutination. The peak of changes is 24 h post infection in phagocytosis markers of polymorphonuclear cells and CD8+ T cells. Lagovirus europaeus/GI.1a strains differ from Lagovirus europaeus/GI.1 in terms of immunological response based on our previous work concerning the same parameters in immunological response against this disease.
Betriebliche Konflikte und Konfliktmanagement
Authors: West-Leuer Beate 
Published: October 2021

ZusammenfassungArbeits- und Betriebsmediziner sind weder Konfliktmanager noch Konfliktmoderatoren noch Konfliktmediatoren. Doch haben sie täglich mit betrieblichen Konflikten zu tun, mal als Beobachter, mal als Beteiligte. Nolens volens werden sie sich mit diesen Konflikten befassen und versuchen, Lösungsstrategien zu entwickeln. Der folgende Beitrag zeigt Parameter für diese Konfliktdiagnosen und die daraus abgeleiteten Interventionsplanungen auf, die eine psychodynamische Tiefenebene mit einbeziehen. Im Konfliktfall soll dadurch das Verständnis der Konfliktparteien füreinander und damit die Kompromissbereitschaft erhöht werden. Der Konflikt wird befriedet oder verursacht zumindest keinen weiteren Schaden im innerbetrieblichen Miteinander.
The ethical challenges facing the widespread adoption of digital healthcare technology
Authors: Zarif Azmaeen 
Published: October 2021

AbstractWith the rise of telemedicine, wearable healthcare, and the greater leverage of ‘big data’ for precision medicine, various challenges present themselves to organisations, physicians, and patients. Beyond the practical, financial, and clinical considerations, we must not ignore the ethical imperative for fair and just applications to improve the field of healthcare for all. Given the increasing personalisation of medicine and the role technology will play at the interface of healthcare delivery, a thorough understanding of the challenges presented is critical for future physicians who will navigate a novel environment. This article aims to explore the ethical challenges that the adoption of digital healthcare technology presents, contextualised at multiple levels. Potential solutions are suggested to initiate a discussion about the future of medicine and digital healthcare.
Enterococcus faecalis bloodstream infection: does infectious disease specialist consultation make a difference?
Authors: Cattaneo Chiara , Rieg Siegbert , Schwarzer Guido , Müller Matthias C. , Blümel Benjamin , Kern Winfried V. 
Published: October 2021

Abstract
Purpose
To evaluate the relationship between mortality or relapse of bloodstream infection (BSI) due to Enterococcus faecalis and infectious diseases specialist consultation (IDC) and other factors potentially associated with outcomes.

Methods
In a tertiary-care center, consecutive adult patients with E. faecalis BSI between January 1, 2016 and January 31, 2019, were prospectively followed. The management of E. faecalis BSI was evaluated in terms of adherence to evidence-based quality-of-care indicators (QCIs). IDC and other factors potentially associated with 90-day-mortality or relapse of E. faecalis BSI were analyzed by multivariate logistic regression.

Results
A total of 151 patients with a median age of 68 years were studied. IDC was performed in 38% of patients with E. faecalis BSI. 30 cases of endocarditis (20%) were diagnosed. All-cause in-hospital mortality was 23%, 90-day mortality was 37%, and 90-day relapsing E. faecalis BSI was 8%. IDC was significantly associated with better adherence to 5 QCIs. Factors significantly associated with 90-day mortality or relapsing EfB in multivariate analysis were severe sepsis or septic shock at onset (HR 4.32, CI 2.36e7.88) and deep-seated focus of infection (superficial focus HR 0.33, CI 0.14e0.76).

Conclusion
Enterococcus faecalis bacteremia is associated with a high mortality. IDC contributed to improved diagnostic and therapeutic management.
Influence of Die Threading and Finishing Length in the Thread-Rolling Process Using Flat Dies: A Numerical Analysis
Authors: Giorleo L. , Cartapani M. 
Published: October 2021

AbstractIn this paper, a numerical analysis of the cold thread-rolling process using flat dies is presented as a function of the die geometry design. Five die geometries with different threading and finishing ratios were modelled to induce different screw deformation rates. An analytical method was proposed by the authors to design die geometries as a function of screw roll rotation. Screw geometry accuracy, induced stress, and die wear were selected to compare the tested geometries. The results showed that three screw rotations in the threading step were sufficient to guarantee good geometry accuracy. Moreover, the results highlighted that die wear is the most affected parameter among all the tested geometries. Finally, a new solution was proposed by the authors to obtain uniform wear and reduce the die length.
Hybrid design for sports data visualization using AI and big data analytics
Authors: Liu Aijun , Mahapatra Rajendra Prasad , Mayuri A. V. R. 
Published: October 2021

AbstractIn sports data analysis and visualization, understanding collective tactical behavior has become an integral part. Interactive and automatic data analysis is instrumental in making use of growing amounts of compound information. In professional team sports, gathering and analyzing sportsperson monitoring data are common practice, intending to evaluate fatigue and succeeding adaptation responses, analyze performance potential, and reduce injury and illness risk. Data visualization technology born in the era of big data analytics provides a good foundation for further developing fitness tools based on artificial intelligence (AI). Hence, this study proposed a video-based effective visualization framework (VEVF) based on artificial intelligence and big data analytics. This study uses the machine learning method to categorize the sports video by extracting both the videos' temporal and spatial features. Our system is based on convolutional neural networks united with temporal pooling layers. The experimental outcomes demonstrate that the recommended VEVF model enhances the accuracy ratio of 98.7%, recall ratio of 94.5%, F1-score ratio of 97.9%, the precision ratio of 96.7%, the error rate of 29.1%, the performance ratio of 95.2%, an efficiency ratio of 96.1% compared to other existing models.
Effectiveness of Facilitation, Arrangement of Task and Situation, (Non-)verbal Communication, and Counseling of Caregivers in Children with Neuromotor Disorders: a Systematic Review
Authors: Marsico Petra , Graser Judith V. , van Hedel Hubertus J. A. 
Published: October 2021

Abstract

Objectives
The techniques facilitation of activities, arrangement of task or situation, verbal and non-verbal communication, and counseling and empowerment of parents and caregivers are applied in different therapy approaches to improve motor function in children with neuromotor disorders. This review quantitatively examines the effectiveness of these four techniques allocated to pre-defined age groups and levels of disability.

Methods
We followed the systematic review methodology proposed by the American Academy for Cerebral Palsy and Developmental Medicine (AACPDM). The search was conducted on PubMed, Scopus, EMBASE, PEDro, OT Seeker, ERIC, and CINAHL. The main outcomes of the included articles were allocated to the framework of the International Classification of Functioning, Disability, and Health (body functions, activities, and participation).

Results
The search yielded eleven studies for facilitation, 22 for arrangement of task or situation, three for verbal and non-verbal communication, and three studies for counseling and empowerment. The effect sizes indicated strong evidence for body function and activity outcomes for the use of facilitation in newborns until the age of 2 years and the arrangement of tasks in children between 2 and 5 years with cerebral palsy.

Conclusions
Thus, while some evidence exist for facilitation and arrangement of task or situation, further research is needed on the effectiveness of verbal and non-verbal communication and counseling and empowerment of parents and caregivers to improve motor function, activities, and participation.

Systematic review registration.
PROSPERO CRD42017048583.
Beliefs von Schweizer Schülerinnen und Schülern zum konstruktivistischen und instruktivistischen Lernen im Mathematikunterricht der Sekundarstufe I – Ergebnisse eines Large-Scale-Assessments zur Überprüfung mathematischer Grundkompetenzen (ÜGK) 2016
Authors: Girnat Boris , Hascher Tina 
Published: October 2021

ZusammenfassungIm Rahmen der ersten repräsentativen schweizweiten Überprüfung der mathematischen Grundkompetenzen am Ende der Sekundarstufe I (ÜGK 2016) wurden auch die Einstellungen bzw. Beliefs von 10.539 Schülerinnen und Schülern zum Mathematikunterricht erhoben. Es wurde zwischen Beliefs zum instruktivistischen Lernen und Beliefs zum konstruktivistischen Lernen – differenziert in drei Subdimensionen entdeckendes Lernen, soziales Lernen und realitätsbezogenes Lernen – unterschieden. Anders als es die theoretischen Erwartungen nahelegten, bilden die konstruktivistischen und instruktivistischen Einstellungen keine Gegensätze, sondern bestehen nebeneinander. Einstellungen zum entdeckenden und instruktivistischen Lernen korrelieren hoch miteinander und sind positive Prädiktoren für ein gutes Ergebnis im mathematischen Leistungstest, während Einstellungen zum sozialen und realitätsbezogenen Lernen negative Prädiktoren sind. Diese Befunde sind für Schülerinnen stärker ausgeprägt als für Schüler und steigen mit zunehmenden Schulniveau an. Von Schülerinnen und Schülern wahrgenommene Angebote zu einem kognitiv aktivierenden Mathematikunterricht werden ähnlich wie bei impliziten Theorien zur Intelligenz vollständig über ihre Einstellungen zum Lernen auf ihre mathematischen Testergebnisse mediiert, und zwar positiv über Einstellungen zum entdeckenden und instruktivistischen Lernen und negativ über Einstellungen zum realitätsbezogenen Lernen.
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
Authors: Müller Hendrik , Kharitonov Andrey , Nahhas Abdulrahman , Bosse Sascha , Turowski Klaus 
Published: October 2021

AbstractThe digitization of various industries is emerging from and being supported by the Information Technology (IT) industry. However, bringing about the practical implementation of the fourth industrial revolution will require different fields of IT to undergo their own transformations. One of the research fields that draws a lot of attention nowadays is machine learning and its application in different areas. Therefore, in this paper, we present an analysis on the applicability of various machine learning techniques to address different problems in the field of capacity management for Commercial-off-the-shelf enterprise applications. Our investigation of the selected machine learning techniques is based on real monitoring data from over 18,000 SAP applications and database instances that are hosted on more than 16,000 different physical servers. These data are used to train various performance models, such as support vector machines with different kernels, random forests, and AdaBoost, for standard business functions. Boosted trees achieve sufficient accuracy to predict mean response times for ten frequently used transactions. To evaluate the suggested models, we applied them successfully to address different concerns in the context of capacity management. The evaluation includes multiple scenarios in the fields of server sizing, load testing, and server consolidation, with the objective to identify cost-effective designs. Based on the same monitoring data, we also present an anomaly detection scenario. In this scenario, we aim to demonstrate the use of machine learning techniques on historical data to detect possible performance anomalies for a suggested design or even predict possible anomalies in future scenarios. Results strongly emphasize the need to integrate monitoring data from standardized business applications to allow for novel and cost-effective capacity management service offerings.
Effectiveness of price-reduced meals on purchases among university young adults
Authors: Roy Rajshri , Harrington Kate 
Published: October 2021

Abstract
University food environments influence dietary behaviours of attending young adults (aged 18–35 years). The present study aimed to determine if price-reduced meals are associated with high purchase volumes at food outlets (n 5) in a large urban university. The university food outlet customers: university staff and students (n 244) were surveyed about their food choice determinants and their awareness of a price-reduced meal initiative called ‘Budgie Meals’. Itemised sales of ‘Budgie Meals’ and other meals across 3 years were collected. The ‘Budgie Meals’ were nutritionally analyzed. The χ2 and Mann–Whitney U tests were used to analyze quantitative survey responses. An open-ended item was thematically analyzed. Itemised sales of ‘Budgie Meals’ were measured across 3 years and were analyzed using the analysis of variance. The ‘Budgie Meals’ were nutritionally analyzed and categorised as ‘green,’ ‘amber’ or ‘red’ using the National Healthy Food and Drink Policy. Price was considered the most significant barrier to healthy food purchases. The awareness of the ‘Budgie Meal’ initiative was poor. The ‘Budgie Meal’ had higher sales volumes at each outlet than other items, but the sales showed a downward trend across the years. Nutritional analyses revealed that ‘Budgie Meals’ could be improved. The researchers suggested nutritional improvements to food retailers. Further research is required to assess the viability of implementing such nutritional improvements across food outlets. Specifically, collaboration with retailers and customers is needed to establish the economic feasibility, any potential revenue losses and testing taste acceptability of recipe alterations to these price-reduced meals.
FIRST-ORDER AXIOMATISATIONS OF REPRESENTABLE RELATION ALGEBRAS NEED FORMULAS OF UNBOUNDED QUANTIFIER DEPTH
Authors: EGROT ROB , HIRSCH ROBIN 
Published: October 2021

AbstractUsing a variation of the rainbow construction and various pebble and colouring games, we prove that RRA, the class of all representable relation algebras, cannot be axiomatised by any first-order relation algebra theory of bounded quantifier depth. We also prove that the class At(RRA) of atom structures of representable, atomic relation algebras cannot be defined by any set of sentences in the language of RA atom structures that uses only a finite number of variables.
ALMOST DISJOINT AND MAD FAMILIES IN VECTOR SPACES AND CHOICE PRINCIPLES
Authors: TACHTSIS ELEFTHERIOS 
Published: October 2021

AbstractIn set theory without the Axiom of Choice (
$\mathsf {AC}$
), we investigate the open problem of the deductive strength of statements which concern the existence of almost disjoint and maximal almost disjoint (MAD) families of infinite-dimensional subspaces of a given infinite-dimensional vector space, as well as the extension of almost disjoint families in infinite-dimensional vector spaces to MAD families.
Lightweight deep network-enabled real-time low-visibility enhancement for promoting vessel detection in maritime video surveillance
Authors: Guo Yu , Lu Yuxu , Liu Ryan Wen 
Published: October 2021

AbstractMaritime video surveillance has become an essential part of the vessel traffic services system, intended to guarantee vessel traffic safety and security in maritime applications. To make maritime surveillance more feasible and practicable, many intelligent vision-empowered technologies have been developed to automatically detect moving vessels from maritime visual sensing data (i.e., maritime surveillance videos). However, when visual data is collected in a low-visibility environment, the essential optical information is often hidden in the dark, potentially resulting in decreased accuracy of vessel detection. To guarantee reliable vessel detection under low-visibility conditions, the paper proposes a low-visibility enhancement network (termed LVENet) based on Retinex theory to enhance imaging quality in maritime video surveillance. LVENet is a lightweight deep neural network incorporating a depthwise separable convolution. The synthetically-degraded image generation and hybrid loss function are further presented to enhance the robustness and generalisation capacities of LVENet. Both full-reference and no-reference evaluation experiments demonstrate that LVENet could yield comparable or even better visual qualities than other state-of-the-art methods. In addition, it takes LVENet just 0⋅0045 s to restore degraded images with size 1920 × 1080 pixels on an NVIDIA 2080Ti GPU, which can adequately meet real-time requirements. Using LVENet, vessel detection performance can be greatly improved with enhanced visibility under low-light imaging conditions.