bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning the weights using attribute order information for multi-criteria decision making tasks
Authors: Dombi József , Jónás Tamás 
Published: May 2024

AbstractIn multi-criteria decision making, the importance of decision criteria (decision attributes) plays a crucial role. Ranking is a useful technique for expressing the importance of decision criteria in a decision-makers’ preference system. Since weights are commonly utilized for characterizing the importance of criteria, weight determination and assessment are important tasks in multi-criteria decision making and in voting systems as well. In this study, we concentrate on the connection between the preference order of decision criteria and the decision weights. Here, we present an easy-to-use procedure that can be used to produce a sequence of weights corresponding to a decision-makers’ preference order of decision criteria. The proposed method does not require pairwise comparisons, which is an advantageous property especially in cases where the number of criteria is large. This method is based on the application of a class of regular increasing monotone quantifiers, which we refer to as the class of weighting generator functions. We will show that the derivatives of these functions can be used for approximating the criteria weights. Also, we will demonstrate that using weighting generator functions, weights can be inverted in a consistent way. We will deduce the generators for arithmetic and geometric weight sequences, and we will present a one-parameter generator function known as the tau function in continuous-valued logic. We will show that using these weighting generator functions, the weight learning task can be turned into a simple, one-parameter optimization problem.
Multi-Modal in Vitro Experiments Mimicking the Flow Through a Mitral Heart Valve Phantom
Authors: Christierson Lea , Frieberg Petter , Lala Tania , Töger Johannes , Liuba Petru , Revstedt Johan , Isaksson Hanna , Hakacova Nina 
Published: May 2024

Abstract
Purpose
Fluid-structure interaction (FSI) models are more commonly applied in medical research as computational power is increasing. However, understanding the accuracy of FSI models is crucial, especially in the context of heart valve disease in patient-specific models. Therefore, this study aimed to create a multi-modal benchmarking data set for cardiac-inspired FSI models, based on clinically important parameters, such as the pressure, velocity, and valve opening, with an in vitro phantom setup.

Method
An in vitro setup was developed with a 3D-printed phantom mimicking the left heart, including a deforming mitral valve. A range of pulsatile flows were created with a computer-controlled motor-and-pump setup. Catheter pressure measurements, magnetic resonance imaging (MRI), and echocardiography (Echo) imaging were used to measure pressure and velocity in the domain. Furthermore, the valve opening was quantified based on cine MRI and Echo images.

Result
The experimental setup, with 0.5% cycle-to-cycle variation, was successfully built and six different flow cases were investigated. Higher velocity through the mitral valve was observed for increased cardiac output. The pressure difference across the valve also followed this trend. The flow in the phantom was qualitatively assessed by the velocity profile in the ventricle and by streamlines obtained from 4D phase-contrast MRI.

Conclusion
A multi-modal set of data for validation of FSI models has been created, based on parameters relevant for diagnosis of heart valve disease. All data is publicly available for future development of computational heart valve models.
Link-limited bypass rewiring for enhancing the robustness of complex networks
Authors: Chujyo Masaki , Toriumi Fujio 
Published: May 2024

AbstractReal-world networks often encounter disruptions that can have profound societal impacts. Therefore, enhancing network robustness against random failures and targeted attacks is crucial. Bypass rewiring, in which adjacent nodes are immediately reconnected following node removal, has been proposed as a promising method for enhancing network robustness. However, this method typically requires numerous bypass links and incurs significant costs. In this paper, we propose link-limited bypass rewiring, in which bypass links are reconnected stochastically. Additionally, we investigate the relationship between the number of bypass links and robustness improvement. Our findings, which are based on analytical and numerical results, reveal a tradeoff relationship between the number of added bypass links and robustness enhancement. Notably, preferentially reconnecting high-degree nodes was found to be effective for improving robustness. These insights can inform the design of resilient systems in real-world networks, offering strategies for enhancing robustness against node removal.
Geo-spatial analysis of built-environment exposure to flooding: Iowa case study
Authors: Alabbad Yazeed , Demir Ibrahim 
Published: May 2024

AbstractFlooding is the most frequent type of natural disaster, inducing devastating damage at large and small spatial scales. Flood exposure analysis is a critical part of flood risk assessment. While most studies analyze the exposure elements separately, it is crucial to perform a multi-parameter exposure analysis and consider different types of flood zones to gain a comprehensive understanding of the impact and make informed mitigation decisions. This research analyzes the population, properties, and road networks potentially exposed to the 100, 200, and 500-year flood events at the county level in the State of Iowa using geospatial analytics. We also propose a flood exposure index at the county level using fuzzy overlay analysis to help find the most impacted county. During flooding, results indicate that the county-level percentage of displaced population, impacted properties, and road length can reach up to 46%, 41%, and 40%, respectively. We found that the most exposed buildings and roads are laid in residential areas. Also, 25% of the counties are designated as very high-exposure areas. This study can help many stakeholders identify vulnerable areas and ensure equitable distribution of investments and resources toward flood mitigation projects.
Heavy metals pollution, distribution and associated human health risks in groundwater and surface water: a case of Kampala and Mbarara districts, Uganda
Authors: Sanusi Idris O. , Olutona Godwin O. , Wawata Ibrahim G. , Onohuean Hope 
Published: May 2024

AbstractGroundwater and surface water quality is of great significance for humanity as they serve as the primary drinking water sources globally. Due to population growth and the need to provide people with necessities that depend on water as an essential resource, these bodies of water are becoming more polluted. The present study involved the collection of groundwater and surface water samples from Kampala and Mbarara districts in Uganda during the dry and wet seasons. Also, concentrations of lead (Pb), manganese (Mn), cadmium (Cd), copper (Cu), and iron (Fe) were analyzed in order to evaluate the toxicity of metals, identify potential sources, and determine the health risk associated with their presence in water. Results showed that metals were observed with higher concentration during the wet season than the dry season. The concentrations of Fe (8.646 ± 0.00 mg/L), Mn (2.691 ± 0.01 mg/L) and Cd (0.090 ± 0.41 mg/L) measured in groundwater were significantly higher than those measured in surface water. However, only Cu was observed with higher concentration (0.322 ± 0.06 mg/L) in surface water during the wet season. Furthermore, the degree of contamination (Cd) and the heavy metal pollution index (HPI) were evaluated for both the wet and dry seasons. Results showed that few samples were found in the category of portable drinking water while majority are within the “poor” and “very poor” classes which require proper treatment before consumption. The oral hazard index (HIoral) results showed that none of the samples are suitable for consumption; therefore, cause potential non-carcinogenic health issues to the consumer (HIoral > 1). Moreover, children are more at risk than adults in the study districts (higher HI values in both seasons). This study recommends frequent monitoring of quality of water and also effluent waste treatment by the major source of pollution.
Use of the Head Impulse, Nystagmus, Test of Skew (‘HINTS’) assessment to aid differential diagnosis in acute vestibular syndrome in the hyperacute stroke setting
Authors: Rayner Rebecca , Hartley-Palmer Joseph , Hmu Chit 
Published: May 2024

AbstractBackgroundDifferential diagnosis of acute vertigo syndrome is challenging given the similarities between clinical presentations of posterior circulation stroke and peripheral vestibular dysfunction. The Head Impulse, Nystagmus, Test of Skew (‘HINTS’) assessment is a clinical bedside test used to aid diagnosis.MethodsComprehensive training on use of the Head Impulse, Nystagmus, Test of Skew assessment was provided to one stroke consultant, and the effectiveness of the test in that setting was assessed. Further education was completed with more members of the stroke and emergency department multi-disciplinary team. Quality improvement measures including magnetic resonance imaging use and bed utilisation were explored.ResultsFollowing training of one stroke consultant, the Head Impulse, Nystagmus, Test of Skew assessment was found to be a feasible, accurate bedside test within this acute stroke service. Further training for the multi-disciplinary team was completed, but outcome measures were not explored because of the coronavirus disease 2019 pandemic and maternity leave.ConclusionThere is a role for trained members of the multi-disciplinary team to successfully use the Head Impulse, Nystagmus, Test of Skew assessment in hyperacute stroke settings, to aid diagnosis in acute vertigo syndrome.
Primary contact physiotherapy for patients with suggested vestibulopathy for an Australian ENT clinic: a retrospective cohort study
Authors: Mead Cameron , Kuthubutheen Jafri , van den Berg Maayken , Petta Antonio 
Published: May 2024

AbstractObjectiveTo examine the newly established role of a primary contact physiotherapist in an ENT clinic, in an Australian cohort and context, over two phases of development.MethodsA retrospective cohort study was conducted with data collected from a medical record audit. Over the study duration, the primary contact physiotherapist completed initial appointments with patients; follow-up appointments were subsequently conducted by medical staff.ResultsThere was a 46 per cent reduction in patients with suggested vestibulopathy requiring an ENT medical review. This reduction could hypothetically increase to 71 per cent with follow-up primary contact physiotherapist appointments. Improvements in the service delivery model and a primary contact physiotherapist arranging diagnostic assessments could improve waitlist times and facilitate better utilisation of medical staff time.ConclusionThe primary contact physiotherapist can help in the management of patients with suspected vestibulopathy on an ENT waitlist. This is achieved through: a reduction of patients requiring ENT review, improvements to waitlist time and improved utilisation of medical specialists’ time.
Advances in the diagnosis and management of acute vertigo
Authors: Herdman David 
Published: May 2024

AbstractBackgroundPatients presenting to the emergency department with acute vertigo pose a diagnostic challenge. While ‘benign’ peripheral vestibulopathy is the most common cause, the possibility of a posterior circulation stroke is paradoxically the most feared and missed diagnosis in the emergency department.ObjectivesThis review will attempt to cover the significant advances in the ability to diagnose acute vertigo that have occurred in the last two decades. The review discusses the role of neurological examinations, imaging and specific oculomotor examinations. The review then discusses the relative attributes of the Head Impulse-Nystagmus-Test of Skew plus hearing (‘HINTS+’) examination, the timing, triggers and targeted bedside eye examinations (‘TiTrATE’), the associated symptoms, timing and triggers, examination signs and testing (‘ATTEST’) algorithm, and the spontaneous nystagmus, direction, head impulse testing and standing (‘STANDING’) algorithm. The most recent technological advancements in video-oculography guided care are discussed, as well as other potential advances for clinicians to look out for.
Un gruppo di materiali architettonici in stucco e la più antica basilica di Tusculum
Authors: De Stefano Francesco , Pizzo Antonio 
Published: May 2024

RiassuntoTra il 2019 e il 2022 un nuovo programma di ricerche nell'area monumentale di Tusculum è stato dedicato all'indagine del versante sud-orientale della piazza forense, occupato dalla basilica di epoca imperiale e da un edificio la cui interpretazione è da lungo tempo incerta. Le indagini archeologiche hanno consentito di acquisire dati di rilevante interesse ai fini della ricostruzione delle fasi di occupazione di questo settore della città e sulla successione dei monumenti che qui furono edificati nel corso del tempo. Tra le scoperte effettuate spicca un gruppo di frammenti pertinenti a un apparato architettonico in stucco policromo caratterizzato dalla presenza di capitelli corinzieggianti di tipo figurato. Lo stato di conservazione e le caratteristiche tecniche e stilistiche di tali materiali, consentono di sviluppare alcune riflessioni sul contesto monumentale cui essi appartenevano e l'orizzonte storico-culturale entro il quale questo sistema decorativo venne realizzato. In questo contributo, dunque, proponiamo un'analisi tecnica e stilistico-formale di questi reperti, un tentativo di ricomposizione dello schema architettonico che essi componevano e un'ipotesi di attribuzione di quest'ultimo a uno degli edifici più dibattuti del foro tuscolano, il cosiddetto “Edificio porticato”. L'esame del contesto stratigrafico di provenienza dei reperti e la ricomposizione dell'impianto del monumento sulla base dei dati archeologici aprono nuove prospettive per la conoscenza della più antica basilica tuscolana.
Examining the role of emotion and alexithymia in cognitive behavioural therapy outcomes for posttraumatic stress disorder: Clinical implications
Authors: Putica Andrea 
Published: May 2024

Abstract
Although several evidence-based trauma-focused treatments have been developed for post-traumatic stress disorder (PTSD), a high proportion of treatment completers fail to show total symptom or disorder-level remission. Trauma-focused treatments are predicated on the ability of one to emotionally engage with a trauma memory in order to process the traumatic experience and facilitate safety learning in the post-trauma ‘here and now’. Alexithymia, a difficulty in identifying, describing and tending to one’s emotions, occurs in approximately 40% of those who experience PTSD. This article investigates the role of emotional mechanisms in the effectiveness of trauma-focused treatments for PTSD, particularly prolonged exposure and trauma-focused cognitive behaviour therapy. Second, it explores how alexithymia poses challenges to emotion processing, undermining the effectiveness of trauma-focused treatments. The article concludes with a discussion of the clinical implications and possible treatment augmentation for those presenting with alexithymia and PTSD.

Key learning aims

(1)
To recognise the important affective mechanisms that can undermine trauma-focused CBT interventions.

(2)
To widen the understanding and recognition of those who may be at risk of treatment non-response.

(3)
To increase knowledge of available strategies and approaches in treating those who may have difficulties engaging with frontline exposure-based interventions.
The First Global Insight of Cirrus Clouds Characterized by Hollow Ice Crystals From Space‐Borne Lidar
Authors: Zhu Xuanhao , Wang Zhenzhu , Liu Dong , Cai Hongke 
Published: May 2024

AbstractCirrus clouds often contain numerous hollow ice crystals, which are distinct in scattering properties from solid ice crystals, and will be challenging to microphysical retrieval and radiative forcing assessment. Currently, hollow ice crystals have not been observed by remote sensing methods, and the estimation of their hollowness is a complex task. To address this issue, the Mixed Modal Hollow Columns (MMHC) model for hollow ice crystals is introduced, and its backscattering properties are computed using the physical optics approximation method. Through comparison with spaceborne lidar observations, we identify a specific type of cirrus associated with the MMHC model for the first time. The visible optical depth of this cirrus is less than or equal to 0.1, and the temperature is between −60 and −40°C. The MMHC characteristic cirrus clouds are prevalent in middle and high latitudes but less common in low latitudes. They exhibit distinct patterns in terms of sea and land distribution as well as seasonal variation.
Prediction of Solar Coronal Structures Using Fourier Neural Operators Based on the Solar Photospheric Magnetic Field Observation
Authors: Zhao Jingmin , Feng Xueshang 
Published: May 2024

AbstractThis paper constructs the structures of the solar corona (SC) using Fourier neural operators (FNO) based on solar photospheric magnetic field observation. The purpose is to learn the mapping between two infinite‐dimensional function spaces, which takes the photospheric magnetic field as input and the magnetohydrodynamic (MHD) solar wind plasma parameters as output, from a finite collection of input‐output pairs. The FNO‐SC model is established using MHD simulated results of 36 Carrington rotations (CRs) from 2008, 2009, and 2020. The performance of the FNO‐SC model is tested for 6 CRs during various phases of the solar activity such as descending, minimum, and ascending phases to generate the 3D structures of the SC. With the MHD simulations as references, the average structure similarity index measure (SSIM) value for the magnetic field topology from 1 to 3Rs is around 0.88. From 1 to 20Rs, the SSIM values for the number density and radial speed surpass 0.9. Relative to OMNI observations, the mean absolute percentage error for the radial speed generated from the FNO‐SC model does not exceed 0.25. These results indicate that the FNO‐SC model effectively captures the solar coronal structures typical of the periods investigated, by recovering the MHD simulations as well as the observations. The FNO‐SC model is further trained with enriched data from the maximum phase to assess the capability of modeling such a situation. The FNO‐SC model costs 48.7 s for a single CR prediction, and thus facilitates real‐time space weather forecasting.
Development of a nucleoside-modified mRNA vaccine against clade 2.3.4.4b H5 highly pathogenic avian influenza virus
Authors: Furey Colleen , Scher Gabrielle , Ye Naiqing , Kercher Lisa , DeBeauchamp Jennifer , Crumpton Jeri Carol , Jeevan Trushar , Patton Christopher , Franks John , Rubrum Adam , Alameh Mohamad-Gabriel , Fan Steven H. Y. , Phan Anthony T. , Hunter Christopher A. , Webby Richard J. , Weissman Drew , Hensley Scott E. 
Published: May 2024

AbstractmRNA lipid nanoparticle (LNP) vaccines would be useful during an influenza virus pandemic since they can be produced rapidly and do not require the generation of egg-adapted vaccine seed stocks. Highly pathogenic avian influenza viruses from H5 clade 2.3.4.4b are circulating at unprecedently high levels in wild and domestic birds and have the potential to adapt to humans. Here, we generate an mRNA lipid nanoparticle (LNP) vaccine encoding the hemagglutinin (HA) glycoprotein from a clade 2.3.4.4b H5 isolate. The H5 mRNA-LNP vaccine elicits strong T cell and antibody responses in female mice, including neutralizing antibodies and broadly-reactive anti-HA stalk antibodies. The H5 mRNA-LNP vaccine elicits antibodies at similar levels compared to whole inactivated vaccines in female mice with and without prior H1N1 exposures. Finally, we find that the H5 mRNA-LNP vaccine is immunogenic in male ferrets and prevents morbidity and mortality of animals following 2.3.4.4b H5N1 challenge. Together, our data demonstrate that a monovalent mRNA-LNP vaccine expressing 2.3.4.4b H5 is immunogenic and protective in pre-clinical animal models.
Illuminating the function of the orphan transporter, SLC22A10, in humans and other primates
Authors: Yee Sook Wah , Ferrández-Peral Luis , Alentorn-Moron Pol , Fontsere Claudia , Ceylan Merve , Koleske Megan L. , Handin Niklas , Artegoitia Virginia M. , Lara Giovanni , Chien Huan-Chieh , Zhou Xujia , Dainat Jacques , Zalevsky Arthur , Sali Andrej , Brand Colin M. , Wolfreys Finn D. , Yang Jia , Gestwicki Jason E. , Capra John A. , Artursson Per , Newman John W. , Marquès-Bonet Tomàs , Giacomini Kathleen M. 
Published: May 2024

AbstractSLC22A10 is an orphan transporter with unknown substrates and function. The goal of this study is to elucidate its substrate specificity and functional characteristics. In contrast to orthologs from great apes, human SLC22A10, tagged with green fluorescent protein, is not expressed on the plasma membrane. Cells expressing great ape SLC22A10 orthologs exhibit significant accumulation of estradiol-17β-glucuronide, unlike those expressing human SLC22A10. Sequence alignments reveal a proline at position 220 in humans, which is a leucine in great apes. Replacing proline with leucine in SLC22A10-P220L restores plasma membrane localization and uptake function. Neanderthal and Denisovan genomes show proline at position 220, akin to modern humans, indicating functional loss during hominin evolution. Human SLC22A10 is a unitary pseudogene due to a fixed missense mutation, P220, while in great apes, its orthologs transport sex steroid conjugates. Characterizing SLC22A10 across species sheds light on its biological role, influencing organism development and steroid homeostasis.
A comprehensive benchmarking with interpretation and operational guidance for the hierarchy of topologically associating domains
Authors: Xu Jingxuan , Xu Xiang , Huang Dandan , Luo Yawen , Lin Lin , Bai Xuemei , Zheng Yang , Yang Qian , Cheng Yu , Huang An , Shi Jingyi , Bo Xiaochen , Gu Jin , Chen Hebing 
Published: May 2024

AbstractTopologically associating domains (TADs), megabase-scale features of chromatin spatial architecture, are organized in a domain-within-domain TAD hierarchy. Within TADs, the inner and smaller subTADs not only manifest cell-to-cell variability, but also precisely regulate transcription and differentiation. Although over 20 TAD callers are able to detect TAD, their usability in biomedicine is confined by a disagreement of outputs and a limit in understanding TAD hierarchy. We compare 13 computational tools across various conditions and develop a metric to evaluate the similarity of TAD hierarchy. Although outputs of TAD hierarchy at each level vary among callers, data resolutions, sequencing depths, and matrices normalization, they are more consistent when they have a higher similarity of larger TADs. We present comprehensive benchmarking of TAD hierarchy callers and operational guidance to researchers of life science researchers. Moreover, by simulating the mixing of different types of cells, we confirm that TAD hierarchy is generated not simply from stacking Hi-C heatmaps of heterogeneous cells. Finally, we propose an air conditioner model to decipher the role of TAD hierarchy in transcription.