bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi-objective optimization approach for integrated risk-based internal audit planning
Authors: Wang Xiong , Ferreira Fernando A. F. , Yan Pengyu 
Published: February 2023

AbstractAnnual audit planning is a multi-criteria decision-making problem faced by internal audit departments of all organizations. Due to the constrained audit resources, the planning process primarily involves the analysis and evaluation of complex factors for selecting auditable units that maximize the full potential of internal audit. Previous research on internal audit planning only focused on the goal of risk minimization and applied ranking methods to prioritize alternatives. In order to enable internal audit activities to add more value to the organization, the integrated risk-based internal audit planning is proposed to assist audit department in achieving multiple objectives in addition to risk management. Meanwhile, a multi-stage framework is proposed to support the development of such value-added internal audit plan. The new framework integrates the risk assessment of auditable units with the selection of audit activities and resource allocation through a combined analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE) and weighted multi-choice goal programming (WMCGP) approach. The model considers both qualitative and quantitative decision criteria. A real-life case study of the development of an integrated risk-based annual audit plan is presented, and sensitivity analysis is performed to illustrate the validity of the proposed approach. The results indicate that the proposed framework is a useful tool for internal audit planning and the implications of the study can be extended to various selection and allocation problems.
Structured validation of AI-based systems by virtual testing in simulated test scenarios
Authors: Dahmen Ulrich , Osterloh Tobias , Roßmann Jürgen 
Published: February 2023

AbstractThe growing relevance of artificial intelligence (AI) for technical systems offers significant potential for the realization and operation of autonomous systems in complex and potentially unknown environments. However, unlike classical solution approaches, the functionality of an AI system cannot be verified analytically, which is why data-driven approaches such as scenario-based testing are used. With the increasing complexity of the required functionality of the AI-based system, the quantity, and quality of the data needed for development and validation also increase. To meet this demand, data generated synthetically using simulation is increasingly being used. Compared to the acquisition of real-world reference data, simulation offers the major advantage that it can be configured to test specific scenarios of interest. This paper presents an architecture for the systematic generation of virtual test scenarios to establish synthetically generated test data as an integral part of the development and validation process for AI systems. Key aspects of this architecture are the consistent use of digital twins as virtual 1-to-1 replicas and a simulation infrastructure that enables the generation of training and validation data for AI-based systems in appropriate quantity, quality, and time. In particular, this paper focuses on the application of the architecture in the context of two use cases from different application domains.
Principles to operationalize equity in cancer research and health outcomes: lessons learned from the cancer prevention and control research network
Authors: Chebli Perla , Adsul Prajakta , Kranick Julie , Rohweder Catherine L. , Risendal Betsy C. , Bilenduke Emily , Williams Rebecca , Wheeler Stephanie , Kwon Simona C. , Trinh-Shevrin Chau 
Published: February 2023

AbstractReflecting their commitment to advancing health equity, the Cancer Prevention and Control Research Network (CPCRN) established a Health Equity Workgroup to identify and distill guiding principles rooted in health equity, community-engaged participatory research (CBPR), social determinants of health, and racial equity frameworks to guide its collective work. The Health Equity Workgroup utilized a multi-phase, participatory consensus-building approach to: (1) identify recurrent themes in health and racial equity frameworks; (2) capture perspectives on and experiences with health equity research among CPCRN members through an online survey; (3) engage in activities to discuss and refine the guiding principles; and (4) collect case examples of operationalizing equity principles in cancer research. Representatives from all CPCRN centers endorsed nine core principles to guide the Network’s strategic plan: (1) Engage in power-sharing and capacity building with partners; (2) Address community priorities through community engagement and co-creation of research; (3) Explore and address the systems and structural root causes of cancer disparities; (4) Build a system of accountability between research and community partners; (5) Establish transparent relationships with community partners; (6) Prioritize the sustainability of research benefits for community partners; (7) Center racial equity in cancer prevention and control research; (8) Engage in equitable data collection, analysis, interpretation, and dissemination practices; and (9) Integrate knowledge translation, implementation, and dissemination into research plans. Dissemination products, such as toolkits and technical assistance workshops, reflecting these principles will foster knowledge transfer to intentionally integrate health and racial equity principles in cancer prevention and control research.
A combined cognitive and spatial model to map and understand climate-induced migration
Authors: Cárdenas-Vélez Mario , Barrott Julia , Betancur Jaramillo Juan Camilo , Hernández-Orozco Efraim , Maestre-Másmela Daniela , Lobos-Alva Ivonne 
Published: February 2023

AbstractClimate change impacts on populations have increased the number of affected people and climate migrants worldwide. Although the nexus between climate change and migration is not monolithic, analyses of individual-level factors at the local scale that reveal the specific drivers of migration are lacking. Here, we show that people are motivated by individual calculations, prioritizing economic and social factors when deciding to migrate. We use data from 53 structured interviews to decompose the assessment of the decision-making process of people deciding to migrate from a region highly vulnerable to climate change, assessing the internal and external migratory potential. The assessment of migration potential evidenced that potential migrants react and make decisions based on perceptions and preferences among economic, social, environmental, and cultural factors when migrating and value these factors differently. Our spatial multi-criteria model reports disaggregation in that people prioritize economic factors, such as unemployment, job opportunities, and lack of income, over other migration-related factors, while environmental factors are generally considered underlying. Our results demonstrate that migration is not monolithic but a mixture and amalgam of multiple interacting factors, which causes people to migrate or stay in one place despite vulnerability and climate change impacts.
Posttraumatic Stress Symptoms and its Association with Rumination, Thought Suppression and Experiential Avoidance: a Systematic Review and Meta-Analysis
Authors: Miethe Sandra , Wigger Janna , Wartemann Annika , Fuchs Fée Ona , Trautmann Sebastian 
Published: February 2023

AbstractPosttraumatic stress disorder (PTSD) is a severe mental disorder causing high individual and societal costs. The use of maladaptive emotion regulation (ER) strategies has been identified as a potential contributing factor. This meta-analysis aimed to quantify the associations between PTSD symptoms and rumination, thought suppression and experiential avoidance. The systematic literature search resulted in 5574 studies, 75 of which were included in the analysis. From those eligible studies 189 effect sizes were obtained. For symptoms of posttraumatic stress, large effects were found for associations with rumination (r = .52) and experiential avoidance (r = .48), whereas a medium effect size was found for thought suppression (r = .29). With respect to different PTSD symptom clusters, associations ranged between r = .35 and r = .41 for associations with intrusive re-experiencing, between r = .39 and r = .41 for associations with avoidance, between r = .50 and r = .53 for associations with alterations in cognitions and mood and between r = .41 and r = .45 for associations with alterations in arousal and activity. Few available studies provide some evidence that associations might be somewhat reduced but still substantial in longitudinal compared to cross-sectional studies. These findings provide valuable targets for future investigations with the long-term goal of improving targeted interventions for the prevention and treatment of PTSD symptoms.
Preserving the longevity of long-lasting family businesses: a multilevel model
Authors: Conz Elisa , Denicolai Stefano , De Massis Alfredo 
Published: February 2023

AbstractPrior research lacks an understanding of how decision makers preserve longevity within family businesses. This study examines longevity under a microfoundational lens, through an interpretive qualitative research design. The selected cases are nine long-established Australian family wineries. The outcome is a multilevel grounded model of the preservation of family firm longevity that integrates the dual firm-family relationship with the individual level of decision makers. The model shows the role played by interactions among multiple levels of analysis — namely, the individual, the family and the firm — in preserving the longevity of the family business.
The role of hypoxia on prostate cancer progression and metastasis
Authors: Mohamed Osama A. A. , Tesen Heba S. , Hany Marwa , Sherif Aya , Abdelwahab Maya Magdy , Elnaggar Muhammed H. 
Published: February 2023

AbstractProstate cancer is the second most common cancer diagnosed in men and the fifth-leading cause of cancer death in men worldwide. Like any solid tumor, the hypoxic microenvironment of prostatic cancer drives hypoxia-inducible factors (HIFs) to mediate cell adaptions to hypoxic conditions. HIFs direct different signaling pathways such as PI3K/Akt/mTOR, NOX, and Wnt/β-Catenin to tumor progression depending on the degree of hypoxia. HIFs regulate cytoskeleton protein expression, promoting epithelial-mesenchymal transition (EMT), which occurs when cancer cells lose cell-to-cell adhesions and start invasion and metastasis. Through activating pathways, the hypoxic microenvironment maintains the self-renewal, potency, and anti-apoptotic function of prostate cancer cells and induces tumor metastasis and transformation. These pathways could serve as a potential target for prostate cancer therapy. HIFs increase the expression of androgen receptors on cancer cells maintaining the growth and survival of prostate cancer and the development of its castration resistance. In this review, we elaborate on the role of hypoxia in prostatic cancer pathogenesis and different hypoxia-induced mechanisms.
LncRNA PCAT6 promotes proliferation, migration, invasion, and epithelial-mesenchymal transition of lung adenocarcinoma cell by targeting miR-545-3p
Authors: Yang Chuyi , Huang Hongyu , Li Yongpeng , Zhuo Ting , Zhu Lu , Luo Chenyang , Wu Yanbin , Qin Shouming 
Published: February 2023

Abstract
Background
Lung cancer is a high incidence cancer on a worldwide basis and has become a major public health problem. Lung adenocarcinoma (LUAD) makes up approximately half of all lung cancers and is a threat to human health. Long non-coding RNAs (lncRNAs) is an important regulator of the development and progression of lung adenocarcinoma. In this manuscript we examined the role and potential mechanism of lncRNA PCAT6 in the development of LUAD.

Methods and results
Differences in lncRNA PCAT6 levels between LUAD samples and normal samples were first explored in the GEPIA database. We found that lncRNA PCAT6 expression was elevated, which was also validated in lung adenocarcinoma tissues and cell lines. Using western blotting, CCK-8, EdU, wound healing and transwell assays, we found that knockdown of lncRNA PCAT6 inhibited EMT, proliferation, migration, and invasion of LUAD cells. We noted a predicted a binding site for lncRNA PCAT6 and miR-545-3p through conducting bioinformatic analyses, and their binding was subsequently verified by a dual-luciferase reporter assay. Rescue experiments confirmed that miR-545-3p inhibitor partially abolished the inhibition function of lncRNA PCAT6 knockdown on LUAD cells. In addition, we predicted the downstream target genes of miR-545-3p and verified them by RT-qPCR. We found that EGFR was reduced in the silence of lncRNA PCAT6 and upregulated after miR-545-3p inhibition.

Conclusion
This study demonstrates that lncRNA PCAT6 promotes a more aggressive LUAD phenotype by sponging miR-545-3p. This finding may provide new ideas for the treatment of lung cancer.
Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: advantages and limitations
Authors: Martinelli Cristiano , Coraddu Andrea , Cammarano Andrea 
Published: February 2023

AbstractIn the industry field, the increasingly stringent requirements of lightweight structures are exposing the ultimately nonlinear nature of mechanical systems. This is extremely true for systems with moving parts and loose fixtures which show piecewise stiffness behaviours. Nevertheless, the numerical solution of systems with ideal piecewise mathematical characteristics is associated with time-consuming procedures and a high computational burden. Smoothing functions can conveniently simplify the mathematical form of such systems, but little research has been carried out to evaluate their effect on the mechanical response of multi-degree-of-freedom systems. To investigate this problem, a slightly damped mechanical two-degree-of-freedom system with soft piecewise constraints is studied via numerical continuation and numerical integration procedures. Sigmoid functions are adopted to approximate the constraints, and the effect of such approximation is explored by comparing the results of the approximate system with the ones of the ideal piecewise counter-part. The numerical results show that the sigmoid functions can correctly catch the very complex dynamics of the proposed system when both the above-mentioned techniques are adopted. Moreover, a reduction in the computational burden, as well as an increase in numerical robustness, is observed in the approximate case.
Computer Vision on the Edge to Reduce Network Bandwidth Consumption and Computing Resources in Multi-view 3D Industrial Inspection without Hidden Surfaces
Authors: Escrivá David Millán , Ruiz Javier Tendillo , Carbó Pau Garrigues , Santacruz Andrés Martín Larroza , Gomariz Guillermo Amat , Soler Javier Perez , Guardiola Jose Luis , Perez-Cortes Juan-Carlos 
Published: February 2023

AbstractIndustrial inspection industry requires high precision, fast and reliable systems, where images play a central role. These systems are composed by several hardware and also cyber-physical componentes where complexity increases when multiple heterogeneous sensor inputs are combined. Our 3D industrial inspection scanner is able to reconstruct complete objects without occlusion with use of multiple sensors and actuators using a complex software architecture. Our system allows increasing the throughput by removing the bottleneck network issue, decreasing network data transfer using a new edge systems architecture that segments and optimizes image transferring. Also, this work presents the results of applying technology developed during the FitOptiVis European ECSEL project. FitOptiVis will provide a reference architecture supporting composability built on suitable component abstractions and embedded sensing, actuation and processing devices adhering to those abstractions. The reference architecture will support design portability, on-line multi-objective quality and resource management and run-time adaptation guaranteeing system constraints and requirements based on platform virtualization. The FitOptiVis project will be applied to design the new architecture of the new edge components and develop the runtime system monitoring.
Utilization of n-alkane and roles of lipid transfer proteins in Yarrowia lipolytica
Authors: Fukuda Ryouichi 
Published: February 2023

AbstractYarrowia lipolytica, a dimorphic yeast belonging to the Ascomycota, has potent abilities to utilize hydrophobic compounds, such as n-alkanes and fatty acids, as carbon and energy sources. Yarrowia lipolytica can synthesize and accumulate large amounts of lipids, making it a promising host to produce various lipids and convert n-alkanes to useful compounds. For advanced use of Y. lipolytica in these applications, it is necessary to understand the metabolism of these hydrophobic compounds in this yeast and the underlying molecular mechanisms. In this review, current knowledge on the n-alkane metabolism and how this is regulated in Y. lipolytica is summarized. Furthermore, recent studies revealed that lipid transfer proteins are involved in the utilization of n-alkanes and the regulation of cell morphology in response to n-alkanes. This review discusses the roles of membrane lipids in these processes in Y. lipolytica.
Are seafloor habitats influencing the distribution of microplastics in coastal sediments of a Marine Protected Area?
Authors: Rios-Fuster Beatriz , Compa Montserrat , Alomar Carme , Morató Mercè , Ryfer Diane , Villalonga Margarita , Deudero Salud 
Published: February 2023

AbstractThe marine environment is affected by the increasing presence of microplastics (MPs; < 5 mm), and the seafloor acts as a sink for these particles. Locations with different predominant seafloor habitat and protection level applied were selected from Cabrera Marine-Terrestrial National Park (henceforth, Cabrera MPA) (western Mediterranean Sea) with the aim to assess the distribution of MPs along the sediments of this Mediterranean MPA. A total of 37 samples were collected. A high diversity of sediment between locations was detected according to the Udden-Wentworth classification and locations were clustered into two main groups according to the predominance of different particle size fractions. The identification of MPs was carried out according to the sediment particle size classification. A total of 1431 MPs and a mean value (± SD) of 314.53 ± 409.94 items kg−1 D.W. were identified, and 70% of the particles were fibers. Statistically higher abundances of MPs were found in sediments collected from sandy habitats, with a mean value of 630.80 ± 636.87 items kg−1 D.W., compared to the abundances of MPs found in locations with different predominant seafloor habitats, that ranged from 136.79 ± 156.33 items kg−1 D.W. in habitats with similar predominance of seagrass and sand to 223.02 ± 113.35 items kg−1 D.W. in habitats with similar predominance of rocks and sand. The abundance of MPs regarding each sediment particle size fraction differed between years and locations, and the abundance of MPs according to each identified shape differed between sampling years, particle size fraction, and predominant seafloor habitat. The present study highlights the ubiquitous presence of MPs in seafloor sediments from a MPA. Furthermore, the results suggest that the predominant seafloor habitat can modulate the presence of MPs in marine environments in both general abundances and shape of items.
The impact of the COVID-19 pandemic on patient complaints within one Irish teaching hospital
Authors: O’Dowd Emily , Lydon Sinéad , Ward Marie E. , Kane Maria , Geary Una , Rudland Chris , O’Connor Paul 
Published: February 2023

Abstract
Background
The
coronavirus disease 2019 (COVID-19) pandemic dramatically impacted the delivery of hospital care in terms of quality and safety.

Objectives
To examine complaints from two time points, quarter 4 (Q4) 2019 (pre-pandemic) and Q4 2020 (second wave), and explore whether there was a difference in the frequency and/or content of complaints.

Methods
A retrospective analysis of complaints from one Irish hospital was conducted using the Healthcare Complaints Analysis Tool (HCAT). Within each complaint, the content, severity, harm reported by the patient, and stage of care were categorised. The complaints were analysed using descriptive statistics and chi-square tests of independence.

Results
There were 146 complaints received in Q4 2019 and 114 in Q4 2020. Complaint severity was significantly higher in Q4 2019 as compared to Q4 2020. However, there were no other significant differences. Institutional processes (e.g. staffing, resources) were the most common reason for complaints (30% in Q4 2019 and 36% in Q4 2020). The majority of complaints were concerned with care on the ward (23% in Q4 2019 and 31% in Q4 2020).

Conclusions
The severity of complaints was significantly higher in Q4 2019 than in Q4 2020, which requires further exploration as the reasons for this are unclear. The lack of a difference in the frequency and content of complaints during the two time periods was unexpected. However, this may be linked to a number of factors, including public support for the healthcare system, existing system-level issues in the hospital, or indeed increased staff collaboration in the context of the COVID-19 crisis.
A simple method to rapidly assess the tibial tuberosity—trochlear groove distance using computed tomography
Authors: Kneafsey Simone L. , Russell Shane P. , Power Fiachra R. , Heffernan Eric J. , Hurson Conor 
Published: February 2023

Abstract
Background
The tibial tuberosity–trochlear groove (TTTG) distance is used to assess patellofemoral instability (PFI) and the likelihood of the development of patellofemoral disorders. The current gold standard in the assessment of the TTTG is computed tomography (CT) or magnetic resonance imaging (MRI). The current image software used for viewing these CT images does not allow for easy assessment of the TTTG.

Aims
This study presents a simple method to measure the TTTG on any image software, utilizing easily available and affordable stationary.

Methods
Four consecutive patients with no known knee pathologies were selected from recent studies at our institution. Their TTTGs were measured using this study’s method and validated using the standard, freely available image analysis software Fiji. Pre-defined anatomical landmarks were located and marked using adhesive pieces of paper. The TTTG was defined as the distance between parallel lines through the apex of the tibial tuberosity and trough of the trochlear groove, where each of these lines is perpendicular to the Dorsal Condylar Line.

Results
The TTTG measured using this study’s method was found to be in agreement with the measurements made using Fiji software.

Conclusions
This study demonstrates that the TTTG can be simply and quickly assessed using readily available and affordable stationery, without the need for expensive or complex secondary analysis software. This could allow for the assessment of PFI in the outpatient clinic whilst the patient is present, offering valuable assistance to the orthopaedic surgeon in clinical decision making.