bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human–Machine Network Through Bio-Inspired Decentralized Swarm Intelligence and Heterogeneous Teaming in SAR Operations
Authors: Longa Marc Espinós , Tsourdos Antonios , Inalhan Gokhan 
Published: August 2022

AbstractDisaster management has always been a struggle due to unpredictable changing conditions and chaotic occurrences that require real-time adaption. Highly optimized missions and robust systems mitigate uncertainty effects and improve notoriously success rates. This paper brings a niching hybrid human–machine system that combines UAVs fast responsiveness with two robust, decentralized, and scalable bio-inspired techniques. Cloud-Sharing Network (CSN) and Pseudo-Central Network (PCN), based on Bacterial and Honeybee behaviors, are presented, and applied to Safe and Rescue (SAR) operations. A post-earthquake scenario is proposed, where a heterogeneous fleet of UAVs cooperates with human rescue teams to detect and locate victims distributed along the map. Monte Carlo simulations are carried out to test both approaches through state-of-the-art metrics. This paper introduces two hybrid and bio-inspired schemes to deal with critical scouting stages, poor communications environments and high uncertainly levels in disaster release operations. Role heterogeneity, path optimization and hive data-sharing structure give PCN an efficient performance as far as task allocation and communications are concerned. Cloud-sharing network gains strength when the allocated agents per victim and square meter is high, allowing fast data transmission. Potential applications of these algorithms are not only comprehended in SAR field, but also in surveillance, geophysical mapping, security and planetary exploration.
Temperature-controlled nanomosaics of AuCu bimetallic structure towards smart light management
Authors: Lipińska Wiktoria , Grochowska Katarzyna , Karczewski Jakub , Ryl Jacek , Siuzdak Katarzyna 
Published: August 2022

AbstractGold–copper nanostructures are promising in solar-driven processes because of their optical, photocatalytic and photoelectrochemical properties, especially those which result from the synergy between the two metals. Increasing interest in their internal structure, such as the composition or distribution of the Au and Cu as well as the size and shape of the nanoparticles, have developed to define their physicochemical properties.In this work, we present the influence of thermal treatment in temperature ranges from 100 to 600 °C on the formation process of bimetallic AuCu structures and their properties. AuCu materials were placed on nanostructured titanium foil substrates that were fabricated using electrochemical anodisation and chemical etching. Thin layers of AuCu mixture, as well as Au and Cu, were sputtered on the obtained Ti nanodimples. The materials were then annealed in a rapid thermal annealing furnace in an air atmosphere. Thermal treatment strongly affected the morphology and optical properties of the fabricated materials. AuCu NPs formed at 400 °C in titanium dimples. The material exhibits absorption of visible light in the range from c.a. 400 to 700 nm. The characterisation of the chemical nature of the samples was determined using X-ray photoelectron spectroscopy. In addition, X-ray diffraction and Raman spectroscopy defined composition and crystallinity. Based on photoelectrochemical studies carried out with the use of linear voltammetry in 0.1 M NaOH, it is possible to distinguish two types of interactions of light with the materials such as photogenerated charge accumulation and electron–hole pair separation. A 10AuCu electrode annealed at 300 °C achieved the highest current registered under illumination at − 0.17 V vs. Ag/AgCl/0.1 M KCl. The value was 11 times higher than for a non-annealed structure.
Who are the actors and what are the factors that are used in models to map forest fire susceptibility? A systematic review
Authors: Chicas Santos Daniel , Østergaard Nielsen Jonas 
Published: August 2022

AbstractIn the last decades, natural fire regimes have experienced significant alterations in terms of intensity, frequency and severity in fire prone regions of the world. Modelling forest fire susceptibility has been essential in identifying areas of high risk to minimize threats to natural resources, biodiversity and life. There have been significant improvements in forest fire susceptibility modelling over the past two decades 2001–2021. In this study, we conducted a systematic literature review of literature covering forest fire susceptibility modelling published during this period. The review provides insights on the main themes of forest fire susceptibility modelling research, the main base input factors used in models to map forest fire susceptibility, the main researchers, the areas where this type of research were implemented, technology and models used. It also highlights collaboration opportunities, and regions, such as Central America and Africa, where mapping of forest fire susceptibility is needed. We argue that such knowledge is crucial in order to identify critical factors and opportunities which can aid in improving factor selection and forest fire management.
Policy analytical capacity and "Eastern" styles of policy analysis: evidence from West Java Province, Indonesia
Authors: Newman Joshua , Patmisari Emi , Widianingsih Ida 
Published: August 2022

AbstractAn emerging body of scholarship suggests that "Western" notions of policy analysis may not be relevant in "Eastern" jurisdictions, and that non-Western countries, particularly in Asia, may have their own local policy analytical style or tradition. However, in many Asian countries, little is known about the work that public sector policy analysts do. Using data from a survey and focus groups, this article investigates policy analysis and analytical capacity in the provincial government of West Java, Indonesia. We find ample signs of policy analytical activity as it would be understood by Western scholars, with little evidence of any specific Asian style.
Child marriage: using the Indonesian family life survey to examine the lives of women and men who married at an early age
Authors: Cameron Lisa , Contreras Suarez Diana , Wieczkiewicz Susan 
Published: August 2022

AbstractAn understanding of the experiences of men and women who marry before adulthood is important in motivating social change. Using fixed effects estimation (the inclusion of geographic fixed effects at diminishing levels of aggregation and sister fixed effects where possible) on panel data from the Indonesian Family Life Survey (IFLS), we follow the lives of a sample of 40,800 women and men for up to two decades and examine a wide range of factors associated with child marriage. We examine the lives of both girls and boys who marry early, and the differential experience of girls marrying older men versus young boys. Child marriage is found to be associated with lesser educational attainment, lower earnings and less say in household decision-making, for both men and women. Women are less likely to have a medically-supervised birth and their children are more likely to die, be stunted and perform worse on cognitive tests. Negative factors are mostly exacerbated when young girls marry similarly underage men.
Sexuality Support After Spinal Cord Injury: What is Provided in Australian Practice Settings?
Authors: Bryant Chloe , Aplin Tammy , Setchell Jenny 
Published: August 2022

AbstractThis study sought to understand what sexuality support Australian health professionals currently provide to people with spinal cord injury (SCI) and their perspectives on what changes may better support the sexuality needs of people with SCI. Australian Health professionals who had worked with people with SCI within the last 10 years were invited to participate in an online survey. Results were analyzed using content analysis and descriptive statistics. The 39 participants were from a range of health professions including medical, allied health, nursing, and peer support. Participants worked in various service settings, with the highest frequency in the community (33%) or inpatient rehabilitation (28%). Analysis indicated 85% of participants had provided sexuality support, however this provision was rarely routine. Discussing sexuality education topics were reported to be routinely provided for less than 16% of participants. Overall, 32% of participants felt sexuality was addressed ‘not well at all’ in their workplace. Qualitative analysis of open-ended responses produced five themes: barriers to supporting sexuality, health professionals require training, utilizing a team approach, responsibility to initiate conversation, and involving others in support. Barriers to provision included stigma and lack of education. Commonly suggested strategies to improve practice included: increasing sexuality training, utilizing a team approach, initiating the conversation of sexuality early, and consensual inclusion of significant others in sexuality support. The results therefore indicate sexuality support is not routinely provided to people with SCI and findings suggest a need for sexuality training, utilizing a team approach, initiating the conversation, and including significant others.
Economic growth and global warming effects on electricity consumption in Spain: a sectoral study
Authors: Pablo-Romero Maria del P. , Sánchez-Braza Antonio , González-Jara Daniel 
Published: August 2022

AbstractThis paper analyzes the effect of certain factors on electricity consumption in Spain at a sectoral level. An electricity consumption function has been estimated by using panel data, depending on gross value added (GVA), temperatures, capitalization, and human capital. This function is obtained for total productive electricity consumption and for the agricultural, construction, industrial, service, and public administration sectors, referring to the 17 Autonomous Communities of Spain for the 2000–2013 period. The obtained results show important sectoral differences in the effect that GVA has on electricity consumption, indicating a positive and increasing effect of temperatures above 22 °C in the total economy and in the tertiary sector, and a negative effect of temperatures below 18 °C in some sectors. These results may indicate that global warming may induce an electricity demand growth in Spain, especially related to cooling needs. The results also highlight the positive effects of capitalization in all sectors, and the negative effects of human capital, except for the public administration sector. In this context, it may be appropriate to carry out policies that mitigate this consumption growth, reinforcing energy efficiency measures, and human capital investments.
A downscaled economic model validated and applied to sediment management projects in Ireland and Scotland
Authors: Harrington J. , Sullivan R. O.’ , Hamilton A. , Lord R. , Torrance K. , Wijdeveld A. , Debuigne T. , Masson E. , Batel B. 
Published: August 2022

Abstract

Purpose
This paper presents a regionally downscaled economic model developed to assess the impacts of the management of dredged sediments on Gross Domestic Product (GDP) and jobs created; the model is validated and applied using real project data from sediment management projects in Ireland and Scotland. The model provides significant insight into and allows impact analysis for the economic aspect of sediment management projects with the potential to facilitate and inform stakeholders across the sediment management sector.

Methods
The economic model facilitates regional analysis of the impacts of sediment management projects on GDP and job creation for direct, indirect and induced effects. Methods for estimating the economic induced impacts are based on industry-specific type I and type II economic multipliers and coefficients, derived for the EU Interreg SURICATES partner countries (Ireland, Scotland, France and the Netherlands) using symmetric input–output tables and application of the open Leontief model and based on available economic data for the identified countries.
The model is applied to sediment management projects in Ireland (a harbour development project at Castletownbere) and in Scotland (a bioremediation project at Falkirk). Model results are compared to project data for direct contribution to GDP and direct jobs created, and the model also estimates the indirect and induced economic project impacts. The model has been applied to undertake sensitivity analyses and compare different sediment management options.

Results
Model results provide a satisfactory comparison to real project data for direct cost and jobs created. Indirect economic benefits for GDP and employment created were estimated from 47 to 53% of direct impacts. The model has been applied to undertake sensitivity analyses and assess a range of different site-specific sediment management options with indirect economic impacts ranging from 42 to 53% of direct impacts.

Conclusions
The economic model results are compared to real project economic data, the validation exercise proving satisfactory with promising results. Sensitivity analyses and site-specific sediment management options have been assessed. The positive economic impacts of the Castletownbere Harbour project in particular are evident. These results highlight the potentially different economic impacts of the implementation of different sediment management options and in different regions and countries.
The model allows the quantification of the economic benefits of sediment management projects. The model provides significant insight into and allows impact analysis for the economic aspect of sediment management projects and has the potential to facilitate and inform stakeholders and decision-makers across the sector.
Influence of long-term storage temperatures and sodium fluoride preservation on the stability of synthetic cathinones and dihydro-metabolites in human whole blood
Authors: Aldubayyan Abdulaziz A. , Castrignanò Erika , Elliott Simon , Abbate Vincenzo 
Published: August 2022

Abstract
Purpose
Synthetic cathinones, one of the largest groups of new psychoactive substances, represent a large analytical and interpretative challenge in forensic laboratories. Of these is the synthetic cathinones’ instability in different biological samples, which may lead to drug concentration discrepancies when interpreting toxicological findings. In this study, the stability of a panel of synthetic cathinones and their dihydro-metabolites (n = 26) together with internal standard was monitored in human whole blood stored at various temperatures over 6 months. The influence of sodium fluoride as a preservative in blood collection tubes was also investigated.

Methods
Samples were extracted using a two-step liquid-liquid extraction technique, and analyzed using a validated liquid chromatography–tandem mass spectrometry method following recommendations of published guidelines.

Results
The influence of temperature over analytes’ stability was an important element in whole blood samples, with − 40 °C being the best storage temperature for all tested analytes. Sodium fluoride did not significantly affect the stability of cathinones except at room temperature. Dihydro-metabolites displayed better stability in whole blood samples and remained detectable for a longer period of time under all tested conditions.

Conclusions
The data suggest that samples containing synthetic cathinones should be analyzed immediately, if possible. Alternatively, whole blood samples should be stored frozen (at − 40 °C or lower); however, (quantitative) results should be interpreted with caution after long-term storage. The data also promote the use of dihydro-metabolites as biomarkers for synthetic cathinones intake, as these reduced metabolites may be detected for longer period of time when compared with parent drugs in whole blood samples.
Different perspectives on a common goal? The Q-method as a formative assessment to elucidate varying expectations towards transdisciplinary research collaborations
Authors: Radinger-Peer Verena , Schauppenlehner-Kloyber Elisabeth , Penker Marianne , Gugerell Katharina 
Published: August 2022

AbstractTransdisciplinary research (TDR) collaborations are considered effective when they yield relevant results for science and practice. In this context, the different expectations, experiences, skills, and disciplines of the team members involved determine TDR collaboration. Using the example of 13 team members involved in the 3-year TDR project ‘Römerland Carnuntum 2040’ (Austria), we aim to identify and compare diverse expectations regarding TDR collaboration. In doing so, we question the often emphasised dichotomy between science and practice as the main challenge of TDR collaboration and aim towards making individual expectations regarding TDR collaboration visible and tangible. The contribution of the present paper is twofold: on the one hand, we provide statements for a formative assessment to externalise implicit expectations, assumptions, and epistemologies of TDR project team members regarding TDR collaboration and results. On the other hand, we present the Q-methodology as a viable approach to uncover diverging viewpoints as visible, tangible, and enunciable differences that need to be acknowledged in early stages of TDR projects when allocating resources and planning further project steps. Our investigations result in two viewpoints: one emphasises learning, collective reflection, and knowledge exchange as the main TDR expectation. The second focuses on ‘changing practices’, assuming that the project supports the introduction of new practices for (sustainable) regional development. These diverging expectations reveal subconscious tensions, which have to be addressed when allocating resources and defining project success within the TDR project.
The SIMI Gender ‘5 Ws’ Rule for the integration of sex and gender-related variables in clinical studies towards internal medicine equitable research
Authors: Raparelli Valeria , Santilli Francesca , Marra Alberto Maria , Romiti Giulio Francesco , Succurro Elena , Licata Anna , Buzzetti Elena , Piano Salvatore , Masala Maristella , Suppressa Patrizia , Becattini Cecilia , Muiesan Maria Lorenza , Russo Giuseppina , Cogliati Chiara , Proietti Marco , Basili Stefania ,   Italian Society of Internal Medicine (SIMI)
Published: August 2022

AbstractBiological sex and sociocultural gender matter when it comes to health and diseases. They have been both proposed as the undeniable gateways towards a personalized approach in care delivery. The Gender Working Group of the Italian Society of Internal Medicine (SIMI) was funded in 2019 with the aim of promoting good practice in the integration of sex and gender domains in clinical studies. Starting from a narrative literature review and based on regular meetings which led to a shared virtual discussion during the national SIMI congress in 2021, the members of the WG provided a core operational framework to be applied by internal medicine (IM) specialists to understand and implement their daily activity as researchers and clinicians. The SIMI Gender ‘5 Ws’ Rule for clinical studies has been conceptualized as follows: Who (Clinical Internal Medicine Scientists and Practitioners), What (Gender-related Variables—Gender Core Dataset), Where (Clinical Studies/Translational Research), When (Every Time It Makes Sense) and Why (Explanatory Power of Gender and Opportunities). In particular, the gender core dataset was identified by the following domains (variables to collect accordingly): relations (marital status, social support, discrimination); roles (occupation, caregiver status, household responsibility, primary earner, household dimension); institutionalized gender (education level, personal income, living in rural vs urban areas); and gender identity (validated questionnaires on personality traits). The SIMI Gender ‘5 Ws’ Rule is a simple and easy conceptual framework that will guide IM for the design and analysis of clinical studies.
Towards a systematical approach for wear detection in sheet metal forming using machine learning
Authors: Kubik Christian , Becker Marco , Molitor Dirk-Alexander , Groche Peter 
Published: August 2022

AbstractWear is one of the decisive factors for the economic efficiency of sheet metal forming processes. Thereby, progressive wear phenome lead on the one hand to a poor workpiece quality and on the other hand to tool failure resulting in high machine downtimes. This trend is intensified by processing high-strength materials and the reduction of lubricant up to dry forming. In this context, data-driven monitoring methods such as machine learning (ML) provide the potential of detecting wear at an early stage to overcome manual and cost-intensive process inspections. The presented study aims to provide a ML based inline quantification of wear states within sheet metal forming processes. The development of this monitoring approach is based on a procedure model the Knowledge Discovery in Time series and image data in Engineering Epplications (KDT-EA) which is validated on two forming processes, blanking and roll forming, that strongly differ in their physical process behavior and their acquired process data. The presented inline quantification allows an estimation of wear states with a deviation of less than 0.83% for the blanking process and 2.21% for the roll forming process from the actual wear state. Furthermore, it is shown that combining different feature extraction methods as well as a compensation of unbalanced data using data augmentation techniques are able to improve the performance of the investigated ML models.
Quality Improvement in Neurocritical Care: a Review of the Current Landscape and Best Practices
Authors: Karanjia Navaz , Dugyala Venkataditya , Olm-Shipman Casey , Lele Abhijit V. 
Published: August 2022

Abstract

Purpose of Review
The field of neurocritical care (NCC) has grown such that there is now a substantial body of literature on quality improvement specific to NCC. This review will discuss the development of this literature over time and highlight current best practices with practical tips for providers.

Recent Findings
There is tremendous variability in patient care models for NCC patients, despite evidence showing that certain structural elements are associated with better outcomes. There now also exist evidence-based recommendations for neurocritical care unit (NCCU) structure and processes, as well as NCC-specific performance measure (PM) sets; however, awareness of these is variable among care providers. The evidence-based literature on NCC structure, staffing, training, standardized order sets and bundles, transitions of care including handoff, prevention of bounce backs, bed flow optimization, and inter-hospital transfers is growing and offers many examples of successful performance improvement initiatives in NCCUs.

Summary
NCC providers care for patients with life-threatening conditions like intracerebral and subarachnoid hemorrhages, ischemic stroke, and traumatic brain injury, which are associated with high morbidity, complexity of treatment, and cost. Quality improvement initiatives have been successful in improving many aspects of NCC patient care, and NCC providers should continue to update and standardize their practices with consideration of this data. More research is needed to continue to identify high-risk and high-cost NCCU structures and processes and strategies to optimize them, validate current NCC PMs, and encourage clinical adoption of those that prove to be associated with improved outcomes.