bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach
Authors: Deveci Muhammet , Krishankumar Raghunathan , Gokasar Ilgin , Tuna Deveci Rumeysa 
Published: May 2022

AbstractPandemics are well-known as epidemics that spread globally and cause many illnesses and mortality. Because of globalization, the accelerated occurrence and circulation of new microbes, the infection has emerged and the incidence and movement of new microbes have sped up. Using technological devices to minimize the visit durations, specifying days for handling chronic diseases, subsidy for the staff are the alternatives that can help prevent healthcare systems from collapsing during pandemics. The study aims to define the efficient usage of optimization tools during pandemics to prevent healthcare systems from collapsing. In this study, a new integrated framework with fuzzy information is developed, which attempts to prioritize these alternatives for policymakers. First, rating data are assigned respective fuzzy values using the standard singleton grades. Later, criteria weights are determined by extending Cronbach´s measure to fuzzy context. The measure not only understands data consistency comprehensively, but also takes into consideration the attitudinal characteristics of experts. By this approach, a rational weight vector is obtained for decision-making. Further, an improved Weighted Aggregated Sum Product Assessment (WASPAS) algorithm is put forward for ranking alternatives, which is flexibly considering criteria along with personalized ordering and holistic ordering alternatives. The usefulness of the developed framework is tested with the help of a real case study. Rank values of alternatives when unbiased weights are used is given by 0.741, 0.582, 0.640 with ordering as $$R_{1} \succ R_{3} \succ R_{2}$$

R
1

≻

R
3

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R
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. The sensitivity/comparative analysis reveals the impact of the proposed model as useful in selecting the best alternative for the healthcare systems during pandemics.
Inverted human umbilical artery as a 3D scaffold for sciatic nerve regeneration in rats
Authors: Lecoq Flore-Anne , Barnouin Laurence , Ardouin Ludovic , Hartmann Daniel , Obert Laurent 
Published: May 2022

AbstractTreatment of peripheral nerve injuries (PNIs) remains a challenge. Interposing a graft delivers better regenerative outcomes. Autografts present major drawbacks which have given rise to the development of alternatives such as artificial scaffolds, some of which are very promising. This study was designed to investigate the potential use of an inverted human umbilical cord artery (iHUA) as a 3D scaffold nerve chamber, for nerve regeneration after transection of the sciatic nerve (SN) in rats. Rats underwent surgical SN transection in their right hindlimb, followed by suture of the device at the resected stumps. Local tolerance, insert biodegradability and nerve reconstruction over time were thoroughly studied by histopathological and morphometric analysis, completed by functional test assessment of sensitivity and motricity recovery. We have demonstrated that nerve reconstruction in the presence of an iHUA insert is effective. The device is well tolerated and highly biodegraded. Although the regenerated nerve is still immature at the end of our study, signs of sensitivity and partial functional recovery were witnessed, confirming our histological findings. Our results support the potential clinical use of iHUA as a 3D scaffold to bridge nerve discontinuity and guide axonal regrowth in selected cases of PNIs.
Life at the Salty Edge of Empire: The Maritime Cultural Landscape at the Orange Saltpan on Bonaire, 1821–1960
Authors: Stelten Ruud , Antczak Konrad A. 
Published: May 2022

AbstractThe early modern history of the Dutch Caribbean island of Bonaire has to a large extent been influenced by its most valuable resource: solar salt. Through a multidisciplinary approach combining a landscape study, underwater and terrestrial archaeological surveys, and documentary research, the maritime cultural landscape of Bonaire’s southernmost saltpan is analyzed holistically, revealing new aspects of the lives of the people who lived and toiled there.
Early response to JAK inhibitors on central sensitization and pain catastrophizing in patients with active rheumatoid arthritis
Authors: Salaffi Fausto , Carotti Marina , Farah Sonia , Ceccarelli Luca , Giovagnoni Andrea , Di Carlo Marco 
Published: May 2022

Abstract
Objectives
To evaluate the effect of 4 weeks of treatment with Janus kinase inhibitors (JAKis) on central sensitization (CS) and pain catastrophizing, and to determine the pain-related variables predictive of disease activity improvement, in patients with active rheumatoid arthritis (RA).

Methods
Consecutive RA patients with active disease starting a JAKi have been enrolled in this prospective observational study. Patients have been assessed at baseline and after 4 weeks of treatment. The evaluation was comprehensive of disease activity [Simplified Disease Activity Index (SDAI) and ultrasonographic (US) score] and of questionnaires aimed at investigating primarily CS [Central Sensitization Inventory (CSI)] and pain catastrophizing [Pain Catastrophizing Scale (PCS)]. Differences (Δ values) between the final and baseline were studied with the t test, Δ values of the variables were correlated with each other using Pearson’s test, and predictor variables for improvement in SDAI were also investigated using multivariate regression analysis.

Results
A total of 115 patients were evaluated. Overall, all variables demonstrated significant improvement between baseline and final except the US score. In particular, CSI decreased from 36.73 to 32.57 (p < 0.0001), PCS decreased from 32.46 to 28.72 (p = 0.0001). ΔSDAI showed a significant correlation with both ΔPCS and ΔCSI (r = 0.466 and 0.386, respectively, p < 0.0001). ΔPCS was the only variable predictive of an improvement in SDAI (coefficient = 0.500, p = 0.0224).

Conclusion
JAKis would appear to have a positive effect on pain-related variables, particularly CS and pain catastrophizing, for the genesis of which extra-synovial mechanisms are responsible.
Seasonal ammonium uptake kinetics of four brown macroalgae: Implications for use in integrated multi-trophic aquaculture
Authors: Smart Joanna N. , Schmid Matthias , Paine Ellie R. , Britton Damon , Revill Andrew , Hurd Catriona L. 
Published: May 2022

AbstractThe combined culture of fed species (bivalves, fish) and macroalgae, known as integrated multi-trophic aquaculture (IMTA), has been suggested as a method of mitigating localised nitrogen (N) increase from aquaculture, whilst simultaneously culturing macroalgae for commercial applications. The development of IMTA requires an understanding of the N ecophysiology of candidate macroalga species. We examined seasonal variations in ammonium (NH4+) uptake kinetics, carbon to nitrogen (C:N) ratio, pigment content and soluble tissue N of four macroalgae of the phylum Ochrophyta,Ecklonia radiata, Macrocystis pyrifera, Lessonia corrugata,andPhyllospora comosa,from Tasmania, Australia. This study aimed to determine, (1) if the N physiology of the four macroalgal species was suitable for IMTA applications and (2) whether the species had seasonal variations in N ecophysiology which would influence their suitability for IMTA.Macrocystis pyrifera,L. corrugata,andE. radiataexhibited saturable NH4+uptake kinetics, with a maximum uptake rate (Vmax) during spring, summer and autumn of 200, 45.8 and 45 μmol gDW-1h-1and half-saturation constants (Ks) of 361.3, 104.2 and 121 μM, respectively.Phyllospora comosaexhibited biphasic uptake patterns for three out of four months sampled. There were no noticeable seasonal patterns in pigment content or soluble tissue N for any species. C:N ratios increased from spring (October) to autumn (March) in bothE. radiata(28.34 – 47.83) andP. comosa(24.99 – 51.62),indicating progressive N limitation though summer and into autumn. Results suggest thatM. pyriferaandP. comosaare most suitable for IMTA due to their high NH4+uptake potential.
The Role of Pain Acceptance, Pain Catastrophizing, and Coping Strategies: A Validation of the Common Sense Model in Females Living with Fibromyalgia
Authors: Droppert Kathryn M. , Knowles Simon Robert 
Published: May 2022

AbstractThis study aimed to examine the extent to which illness beliefs, coping styles, pain acceptance, pain catastrophizing, and psychological distress mediate the relationship between fibromyalgia symptoms and quality of life (QoL) in a female cohort diagnosed with Fibromyalgia (n = 151). Measures used included the Revised Fibromyalgia Impact Questionnaire, Carver Brief COPE scale, Chronic Pain Acceptance Questionnaire Revised, Pain Catastrophizing Scale, Brief Illness Perceptions Questionnaire, Depression and Anxiety Stress Scales, and European Health Interview Survey Quality of Life 8-item Index. Using structural equation modelling, the final model indicated that fibromyalgia symptom severity had a significant direct influence on illness perceptions and psychological distress. In turn, illness perceptions had a significant direct influence on maladaptive coping, pain catastrophizing, pain acceptance, and QoL. Pain catastrophizing and maladaptive coping influenced psychological distress, and in turn distress impacted QoL. Acceptance of pain was found to be influenced by maladaptive coping and in turn acceptance of pain influenced QoL.
The hermeneutics of symptoms
Authors: Wardrope Alistair , Reuber Markus 
Published: May 2022

AbstractThe clinical encounter begins with presentation of an illness experience; but throughout that encounter, something else is constructed from it – a symptom. The symptom is a particular interpretation of that experience, useful for certain purposes in particular contexts. The hermeneutics of medicine – the study of the interpretation of human experience in medical terms – has largely taken the process of symptom-construction to be transparent, focussing instead on how constellations of symptoms are interpreted as representative of particular conditions. This paper examines the hermeneutical activity of symptom-construction more closely. I propose a fourfold account of the clinical function of symptoms: as theoretical entities; as tools for communication; as guides to palliative intervention; and as candidates for medical explanation or intervention. I also highlight roles they might play in illness experience. I use this framework to discuss four potential failures of symptom-interpretation: failure of symptom-type and symptom-token recognition; loss of the complete picture of illness experience through overwhelming emphasis on its symptomatic interpretation; and intersubjective feedback effects of symptom description altering the ill person’s own perceptions of their phenomenal experience. I conclude with some suggestions of potential remedies for failures in the process of symptom-construction.
From representations in predictive processing to degrees of representational features
Authors: Rutar Danaja , Wiese Wanja , Kwisthout Johan 
Published: May 2022

AbstractWhilst the topic of representations is one of the key topics in philosophy of mind, it has only occasionally been noted that representations and representational features may be gradual. Apart from vague allusions, little has been said on what representational gradation amounts to and why it could be explanatorily useful. The aim of this paper is to provide a novel take on gradation of representational features within the neuroscientific framework of predictive processing. More specifically, we provide a gradual account of two features of structural representations: structural similarity and decoupling. We argue that structural similarity can be analysed in terms of two dimensions: number of preserved relations and state space granularity. Both dimensions can take on different values and hence render structural similarity gradual. We further argue that decoupling is gradual in two ways. First, we show that different brain areas are involved in decoupled cognitive processes to a greater or lesser degree depending on the cause (internal or external) of their activity. Second, and more importantly, we show that the degree of decoupling can be further regulated in some brain areas through precision weighting of prediction error. We lastly argue that gradation of decoupling (via precision weighting) and gradation of structural similarity (via state space granularity) are conducive to behavioural success.
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models
Authors: Sobieszek Adam , Price Tadeusz 
Published: May 2022

AbstractThis article contributes to the debate around the abilities of large language models such as GPT-3, dealing with: firstly, evaluating how well GPT does in the Turing Test, secondly the limits of such models, especially their tendency to generate falsehoods, and thirdly the social consequences of the problems these models have with truth-telling. We start by formalising the recently proposed notion of reversible questions, which Floridi & Chiriatti (2020) propose allow one to ‘identify the nature of the source of their answers’, as a probabilistic measure based on Item Response Theory from psychometrics. Following a critical assessment of the methodology which led previous scholars to dismiss GPT’s abilities, we argue against claims that GPT-3 completely lacks semantic ability. Using ideas of compression, priming, distributional semantics and semantic webs we offer our own theory of the limits of large language models like GPT-3, and argue that GPT can competently engage in various semantic tasks. The real reason GPT’s answers seem senseless being that truth-telling is not amongst them. We claim that these kinds of models cannot be forced into producing only true continuation, but rather to maximise their objective function they strategize to be plausible instead of truthful. This, we moreover claim, can hijack our intuitive capacity to evaluate the accuracy of its outputs. Finally, we show how this analysis predicts that a widespread adoption of language generators as tools for writing could result in permanent pollution of our informational ecosystem with massive amounts of very plausible but often untrue texts.
Psychopharmakologische Zwangsbehandlung im Maßregelvollzug
Authors: Querengässer Jan , Efkemann Simone A. , Gather J. , Schiffer B. 
Published: May 2022

ZusammenfassungDas nordrhein-westfälische Maßregelvollzugsgesetz regelte in § 17a Abs. 2 bis vor Kurzem die Zwangsbehandlung einwilligungsunfähiger Patienten zur „Erreichung der Entlassfähigkeit“. Bislang ist wenig über die Effekte derartiger Zwangsbehandlungen auf dieses vorgegebene Ziel bekannt. Ziel der Arbeit stellt daher die Evaluation antipsychotischer Zwangsmedikationen bei gem. § 63 StGB Untergebrachten mit einer Erkrankung aus dem schizophrenen Formenkreis dar.Für alle n = 16 in 2019 entsprechend erfolgten Zwangsmedikationen zur Erreichung der Entlassfähigkeit in 3 Maßregelvollzugsklinken des Landschaftsverbands Westfalen-Lippe wurden direkt vor Erstapplikation sowie 4 Wochen und 6 Monate danach mittels Positive and Negative Syndrome Scale (PANSS) bzw. Global Assessment of Functioning (GAF) die psychotische Symptomatik und das Funktionsniveau der Patienten durch die Behandelnden bewertet. Die Erreichung weiterer Behandlungsziele sowie Einschätzungen zur Entlassfähigkeit und eine Gesamtbewertung der Zwangsbehandlung wurden ebenfalls erfragt.Zum ersten Katamnesezeitpunkt ergaben sich eine signifikante Reduktion der PANSS-Faktoren „Positivsymptomatik“ und „erregbar/feindselig“ sowie eine Steigerung des Funktionsniveaus, die sich je leicht abgeschwächt fortsetzten. Auf individueller Ebene zeigte sich nur bei 2 Patienten kein oder ein negativer Effekt. Obwohl die Auswirkungen auf die Behandlungsziele hinter den Erwartungen zurückblieben, bewerteten die Behandler die Maßnahme überwiegend positiv.Zwangsweise verabreichte Antipsychotika können sich günstig auf das Ziel der „Erreichung der Entlassfähigkeit“ auswirken. Insbesondere eingeschränkte Effekte auf Krankheitseinsicht und die Einsicht in die Notwendigkeit der Medikamenteneinnahme zeigen Limitationen auf, die deutlich machen, dass diese Maßnahme allein nicht ausreicht, um die Entlassfähigkeit herzustellen.
Statistical shape modelling of the human mandible: 3D shape predictions based on external morphometric features
Authors: Pascoletti G. 
Published: May 2022

AbstractOne of the main limitations in subject-centred design approach is represented by getting 3D models of the region of interest. Indeed, 3D reconstruction from imaging data (i.e., computed tomography scans) is expensive and exposes the subject to high radiation doses. Statistical Shape Models (SSMs) are mathematical models able to describe the variability associated to a population and allow predicting new shapes tuning model parameters. These parameters almost never have a physical meaning and so they cannot be directly related to morphometric features. In this study a gender-combined SSM model of the human mandible was setup, using Generalised Procrustes Analysis and Principal Component Analysis on a dataset of fifty mandibles. Twelve morphometric features, able to characterise the mandibular bone and readily collectable during external examinations, were recorded and correlated to SSM parameters by a multiple linear regression approach. Then a cross-validation procedure was performed on a control set to determine the combination of features able to minimise the average deviation between real and predicted shapes. Compactness of the SSM and main modes of deformations have been investigated and results consistent with previous works involving a higher number of shapes were found. A combination of five features was proved to characterise predicted shapes minimising the average error. As completion of the work, a male SSM was developed and performances compared with those of the combined SSM. The features-based model here proposed could represent a useful and easy-to-use tool for the generation of 3D customised models within a virtual interactive design environment.
A hybrid approach to the discrepancy in financial performance’s robustness
Authors: Arcidiacono Sally G. , Rossello Damiano 
Published: May 2022

AbstractPerformance measurement is a crucial ingredient in the industry of investment funds. Mainly grounded on indices of risk-adjusted returns, it requires historical data to estimate the relevant statistics such as the Sharpe ratio. Therefore the measurement process is sensitive to outliers in the time series underlying historical data. Since alternative measures are available for performance evaluation, we propose an iterative methodology for a set of eleven indices (including the Sharpe ratio) in order to: (a) quantify their intrinsic degree of statistical robustness; (b) find different sensitivity to alternative outliers configuration. This methodology is a combination of a reasonable definition of breakdown point and the definition of discrepancy of a finite point set. A suitable Monte Carlo simulation provides numerical evidence of changing sensitivity among all considered performance measures, instead the classical definition of breakdown point only shows lack of robustness among all indices without further specification. Our approach may be useful in choosing the most robust performance measure to be employed in investment management, especially when robust portfolio optimization has to be used.
Transition Metal Atoms Anchored on CuPS3 Monolayer for Enhancing Catalytic Performance of Hydrogen Evolution Reactions
Authors: Sun Yongxiu , Huang Aijian , Li Zhijie , Fu Yong-Qing , Wang Zhiguo 
Published: May 2022

AbstractThe noble metal such as Pt has been used as the catalysts for hydrogen evolution reaction (HER), but with problems such as scarcity of resources and high cost. Anchoring transition metal atoms onto the catalysts is regarded as a potential approach to solve this problem and enhance the electrocatalytic performance of HER. For this purpose, two-dimensional materials, such as CuPS3 monolayer, are regarded as one of the most ideal carriers for adsorption of metal atoms. However, there is no previous study on this topic. In this paper, we systematically studied microstructures, electronic properties, and electrocatalytic performance of the CuPS3 monolayer anchored with transition metal atoms (e.g., Sc, Ti, V, Cr, Mn, Fe, Co, and Ni) using a density functional theory (DFT). Results showed that all the transition metal atoms are favorably adsorbed onto the CuPS3 monolayer with large binding energies at the top of the Cu atom. The pristine CuPS3 monolayer has a large catalytic inertia for hydrogen evolution reactions, whereas after anchored with transition metal atoms, their catalytic performances have been significantly improved. The Gibbs free energy (ΔGH) is 0.44 eV for the H atom absorbed onto the pristine CuPS3 monolayer, whereas the ΔGH values for the V, Fe, and Ni atoms anchored onto the CuPS3 monolayer are 0.02, 0.11, and 0.09 eV, respectively, which is close to the ΔGH of H atom adsorbed on Pt (e.g., −0.09 eV). At the same time, the influence of hydrogen coverage rate was calculated. The result shows that V adsorbed on CuPS3 monolayer is catalytic active for HER for a large range of hydrogen coverage. Our results demonstrate that anchoring of V atom onto the CuPS3 monolayer is a potentially superior method for making the catalyst for the HER.
Graphical abstract
Gesundheitliche Risikofaktoren der Berufsbilder Zahnarzt/Zahnärztin und Zahnmedizinische Fachangestellte
Authors: Holzgreve F. , Weis T. , Germann U. , Wanke E. M. 
Published: May 2022

ZusammenfassungDieser Beitrag beschäftigt sich mit Arbeitsabläufen und physischen Risikofaktoren von Zahnärzt/innen (ZA) und Zahnmedizinischen Fachangestellten (ZFA), die zu gesundheitlichen Schäden des Muskel-Skelett-Systems führen. Dabei soll besonders auf das Arbeitsfeld „Patientenmund“ sowie die Arbeitsbelastung und deren Auswirkung auf die Gesundheit eingegangen werden. Ferner werden die optimale Sitzhaltung und physische Anforderungen statischer und repetitiver Behandlungspositionen sowie -haltungen von ZA und ZFA diskutiert.
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Authors: Benato Lisa , Buhmann Erik , Erdmann Martin , Fackeldey Peter , Glombitza Jonas , Hartmann Nikolai , Kasieczka Gregor , Korcari William , Kuhr Thomas , Steinheimer Jan , Stöcker Horst , Plehn Tilman , Zhou Kai 
Published: May 2022

AbstractWe introduce a Python package that provides simple and unified access to a collection of datasets from fundamental physics research—including particle physics, astroparticle physics, and hadron- and nuclear physics—for supervised machine learning studies. The datasets contain hadronic top quarks, cosmic-ray-induced air showers, phase transitions in hadronic matter, and generator-level histories. While public datasets from multiple fundamental physics disciplines already exist, the common interface and provided reference models simplify future work on cross-disciplinary machine learning and transfer learning in fundamental physics. We discuss the design and structure and line out how additional datasets can be submitted for inclusion. As showcase application, we present a simple yet flexible graph-based neural network architecture that can easily be applied to a wide range of supervised learning tasks. We show that our approach reaches performance close to dedicated methods on all datasets. To simplify adaptation for various problems, we provide easy-to-follow instructions on how graph-based representations of data structures, relevant for fundamental physics, can be constructed and provide code implementations for several of them. Implementations are also provided for our proposed method and all reference algorithms.