bluuebunny/crossref_metadata_2025_split huggingface dataset:
An FE-DMN method for the multiscale analysis of thermomechanical composites
Authors: Gajek Sebastian , Schneider Matti , Böhlke Thomas 
Published: February 2022

AbstractWe extend the FE-DMN method to fully coupled thermomechanical two-scale simulations of composite materials. In particular, every Gauss point of the macroscopic finite element model is equipped with a deep material network (DMN). Such a DMN serves as a high-fidelity surrogate model for full-field solutions on the microscopic scale of inelastic, non-isothermal constituents. Building on the homogenization framework of Chatzigeorgiou et al. (Int J Plast 81:18–39, 2016), we extend the framework of DMNs to thermomechanical composites by incorporating the two-way thermomechanical coupling, i.e., the coupling from the macroscopic onto the microscopic scale and vice versa, into the framework. We provide details on the efficient implementation of our approach as a user-material subroutine (UMAT). We validate our approach on the microscopic scale and show that DMNs predict the effective stress, the effective dissipation and the change of the macroscopic absolute temperature with high accuracy. After validation, we demonstrate the capabilities of our approach on a concurrent thermomechanical two-scale simulation on the macroscopic component scale.
Craniotomies following acute traumatic brain injury in Finland—a national study between 1997 and 2018
Authors: Nevalainen Nea , Luoto Teemu M. , Iverson Grant L. , Mattila Ville M. , Huttunen Tuomas T. 
Published: February 2022

Abstract

Background
A number of patients who sustain a traumatic brain injury (TBI) require surgical intervention due to acute intracranial bleeding. The aim of this retrospective study was to assess the national trends of acute craniotomies following TBI in the Finnish adult population.

Methods
The data were collected retrospectively from the Finnish Care Register for Health Care (1997–2018). The study cohort covered all first-time registered craniotomies following TBI in patients aged 18 years or older. A total of 7627 patients (median age = 59 years, men = 72%) were identified.

Results
The total annual incidence of acute trauma craniotomies decreased by 33%, from 8.6/100,000 in 1997 to 5.7/100,000 in 2018. The decrease was seen in both genders and all age groups, as well as all operation subgroups (subdural hematoma, SDH; epidural hematoma, EDH; intracerebral hematoma, ICH). The greatest incidence rate of 15.4/100,000 was found in patients 70 years or older requiring an acute trauma craniotomy. The majority of surgeries were due to an acute SDH and the patients were more often men. The difference between genders decreased with age (18–39 years = 84% men, 40–69 = 78% men, 70 + years = 55% men). The median age of the patients increased from 58 to 65 years during the 22-year study period.

Conclusions
The number of trauma craniotomies is gradually decreasing; nonetheless, the incidence of TBI-related craniotomies remains high among geriatric patients. Further studies are needed to determine the indications and derive evidence-based guidelines for the neurosurgical care of older adults with TBIs to meet the challenges of the growing elderly population.
Effects of storage and toothbrush simulation on color, gloss, and roughness of CAD/CAM, hand-cast, thermoforming, and 3D-printed splint materials
Authors: Hickl Verena , Strasser Thomas , Schmid Alois , Rosentritt Martin 
Published: February 2022

AbstractObjectivesThe aim was to investigate color, gloss, or roughness of splint materials after storage in liquids and toothbrush simulation.Materials and methodsA total of 58 × 8 (n = 10 per material and group) specimens were fabricated (hand-cast, thermoforming, CAD/CAM-milled, 3D-printed materials); stored in air, water, coffee, red wine, and cleaning tablets; and investigated after fabrication, 24 h, two-, and four-week storage or toothbrushing. Color values (L*, a*, b*; ISO 11664–4:2008; CM–3500d, Konica-Minolta), gloss (ISO 2813:2014), and roughness values were determined (3D laser-scanning-microscope, KJ 3D, Keyence) before and after simulation or storage. Statistics: Levene-test, one-way ANOVA, Bonferroni post hoc test, between-subjects effects, Pearson correlation (α = 0.05).ResultsColor, gloss, and roughness altered due to contact with staining solutions/toothbrush simulation. Highest impact on color, gloss, and roughness presented the material followed by storage time (ΔE material (η2 = 0.239/p < 0.001), storage time (η2 = 0.179/p < 0.001); gloss (η2 = 0.751/p < 0.001) (η2 = 0.401/p < 0.001); Ra/Rz (η2 ≥ 0.801/p < 0.001) (η2 ≥ 0.416/p < 0.001)). Correlations were found between Rz and Ra (Pearson 0.887/p ≤ 0.001) or Rz and ΔE (0.517/p ≤ 0.001) or Ra and ΔE (0.460/p ≤ 0.001).ConclusionsStorage and toothbrushing were accompanied by a change in color, gloss, and roughness. Almost all materials showed visible discoloration after 4 weeks of storage. Gloss values decreased as storage time increased. The initial roughness and polishability were better with harder materials.Clinical relevance.Milled and 3D printed splints show good color, gloss, and roughness resistance after 4-week storage or toothbrush application.
Mechanism of moisture adsorption in plant fibers surface-modified with glycerol evaluated by LF-NMR relaxation technique
Authors: Fu Lili , Zhang Ke , Zhang Mingjian , Wang Le , Zheng Songjin , Liu Ze , Shang Shanzhai , Sun Yue , Huang Feng , Wang Shuang , Zhang Qi , Wang Bing , Li Bin , Cao Yan , Guo Zhongya 
Published: February 2022

AbstractSurface modification by humectants is an important technology to improve product quality in textile field, healthcare, tobacco processing and paper-making industry. As a common humectant glycerol is applied to keep the moisture adsorbability of the plant fibers during manufacturing. The effects of glycerol on the moisture adsorption of the plant fibers were studied by analyzing the induced differences of bulk and surface physicochemical property with XRD, FTIR, SEM characterizations. The improvement of moisture adsorption capacity of the modified plant fibers was caused by the increased active adsorption sites, while the moisture diffusion resistance increased simultaneously with glycerol indicated by a declining Deff. LF-NMR relaxation spectra demonstrated the water state and distribution in the plant fibers were changed by loading glycerol. The moisture transfer mechanisms induced by glycerol were also investigated. Free water failed to materialize in the plant fibers treated with glycerol, immobile water existed preferentially during the adsorption, and bound water presented increasing after the immobile water was saturated. These findings are referenced values to improve the manufacturing processes of moisture-retaining properties of different functional plant fibers.
Graphical abstract
DDD: Distributed Dataset DNS
Authors: White-Swift Joseph , Fumagalli Andrea 
Published: February 2022

AbstractThe advent of inexpensive data storage has resulted in larger and larger datasets as the cost of pruning data becomes more expensive then storing it for future insights. This decreasing cost of storage has also led to the practice of storing data in multiple locations for redundancy. However, without any uniform method of determining link costs to different storage sites, a dataset is not always retrieved from the most cost effective site. Distributed dataset DNS, or DDD, solves this problem in two key ways. The first allows “local” servers to provide meaningful information to a user in order to ensure that they target the location that offers the most advantageous network connection. The second allows other trusted servers to easily gain access to this information in a distributed way. These combined approaches aim to both lower aggregate network bandwidth usage and prevent single points of failure when retrieving dataset pointers.
Blame for me and Not for Thee: Status Sensitivity and Moral Responsibility
Authors: Argetsinger Henry 
Published: February 2022

AbstractIn our day-to-day lives, we form responsibility judgements about one another – but we are imperfect beings, and our judgments can be mistaken. This paper suggests that we get things wrong not merely by chance, but predictably and systematically. In particular, these miscues are common when we are dealing with large gaps in social status and power. That is, when we form judgements about those who are much more or less socially powerful than ourselves, it is increasingly likely that “epistemic distorters” will reliably disrupt our reasoning. In response to this situation, I argue for the introduction of a new norm concerning blame and social status: “Powerful Restraint.” This norm suggests that the socially powerful ought to blame the socially dispossessed less frequently, and that social pressure be applied to achieve that compliance. I argue that such a norm is justified given the pernicious down-stream moral effects of the up-stream epistemic distortion I describe. I defend it against objections that it suggests a normative solution to an epistemic problem, that it is paternalistic, and that it involves a kind of disrespect to the less socially powerful.
Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey
Authors: Kleiner-Schaefer Timo , Schaefer Kerstin J. 
Published: February 2022

AbstractUniversity-industry collaborations (UICs) are one of the main sources of external knowledge and technologies for industrial firms, particularly in the context of emerging markets (EMs) and firm development. It is thus highly relevant to identify potential barriers internal to the firm as well as in the regional innovation system that might prevent firms from using UICs for innovation, in particular in an EM context. In order to address this issue, we conduct a firm-level study of the R&D-related segment of the manufacturing industry in Istanbul. Logistic regression analysis is used to test the effect of potential barriers on using UICs for innovative activities. With this approach, we are able to identify barriers that prevent innovation-related UICs and thus form a bottleneck to collaborations in the first place. Our findings show that lack of information about UIC opportunities as well as lack of financial support for UICs are the most relevant barriers that inhibit firms’ usage of UICs for innovation. This firm-level evidence points out the importance of university technology transfer offices in regional innovation systems and for fruitful UICs. We further find that administrative barriers have no significant effect, while barriers related to trust and skill matching with scientific partners even have a reverse effect to what we would have expected from the literature. This finding might point towards an effect of perceived versus deterring barriers that has been observed in innovation studies before and might be relevant for studying UICs as well.
Role of Platelet-activating factor and HO-1 in mediating the protective effect of rupatadine against 5-fluorouracil-induced hepatotoxicity in rats
Authors: Khalaf Hanaa Mohamed , Hafez Sara Mohamed Naguib Abdel , Abdalla Ahlam Mohamed , Welson Nermeen N. , Abdelzaher Walaa Yehia , Abdelbaky Fatma Alzhraa Fouad 
Published: February 2022

Abstract
5-fluorouracil (5-FU) is a widely used chemotherapeutic drug, but its hepatotoxicity challenges its clinical use. Thus, searching for a hepatoprotective agent is highly required to prevent the accompanied hepatic hazards. The current study aimed to investigate the potential benefit and mechanisms of action of rupatadine (RU), a Platelet-activating factor (PAF) antagonist, in the prevention of 5-FU-related hepatotoxicity in rats. Hepatotoxicity was developed in male albino rats by a single 5-FU (150 mg/kg) intra-peritoneal injection on the 7th day of the experiment. RU (3 mg/kg/day) was orally administrated to the rodents for 10 days. Hepatic toxicity was assessed by measuring both liver and body weights, serum alanine aminotransferase and aspartate aminotransferase (ALT and AST), hepatic oxidative stress parameters (malondialdehyde (MDA), nitric oxide levels (NOx), reduced glutathione (GSH), superoxide dismutase (SOD)), and heme oxygenase-1 (HO-1). Inflammatory markers expressions (inducible nitric oxide synthase (iNOS), tumor necrosis factor-alpha (TNFα), interleukins; IL-1B, IL-6), the apoptotic marker (caspase-3), and PAF were measured in the hepatic tissue. 5-FU-induced hepatotoxicity was proved by the biochemical along with histopathological assessments. RU ameliorated 5-FU-induced liver damage as proved by the improved serum ALT, AST, and hepatic oxidative stress parameters, the attenuated expression of hepatic pro-inflammatory cytokines and PAF, and the up-regulation of HO-1. Therefore, it can be concluded that RU pretreatment exerted a hepatoprotective effect against 5-FU-induced liver damage through both its powerful anti-inflammatory, antioxidant, and anti-apoptotic effect.
International Diversification and MNE Innovativeness: A Contingency Perspective of Foreign Subsidiary Portfolio Characteristics
Authors: Mihalache Mashiho , R. Mihalache Oli , van den Ende Jan 
Published: February 2022

AbstractWe advance research on how international diversification affects MNEs’ innovativeness by reconciling contradictory views on the role of international diversification for innovation. We do so by developing a portfolio perspective of MNE innovation that moves beyond foreign R&D subsidiaries to consider firms’ entire international footprints and by theorizing that MNE innovativeness depends on the interplay of geographical (i.e., regional diversification and institutional distance) and organizational (i.e., asset diversification and functional mandate breadth) characteristics of the foreign subsidiary portfolio. We test our proposed relationships on a unique multi-source panel dataset of Japanese listed electronics firms (266 firms and their 4505 subsidiaries between 2007 and 2015 resulting in 1936 firm-year observations and 28,350 subsidiary-year observations). We find that the institutional distance and asset diversification of the foreign subsidiary portfolio constrain the extent to which geographical (regional) diversification can enhance MNEs innovativeness. We also find that, at high levels of geographical diversification, MNEs with low levels of institutional distance and asset diversification in the foreign subsidiary portfolio tend to achieve higher innovativeness. Lastly, we did not find empirical support for functional mandate breadth as affecting how geographical diversification influences MNE innovativeness. Overall, the study highlights that, for a nuanced understanding of MNE innovativeness, managers need an encompassing and deliberate portfolio-level strategy that explicitly considers the interrelatedness of geographical and organizational characteristics.
A natural language processing model for supporting sustainable development goals: translating semantics, visualizing nexus, and connecting stakeholders
Authors: Matsui Takanori , Suzuki Kanoko , Ando Kyota , Kitai Yuya , Haga Chihiro , Masuhara Naoki , Kawakubo Shun 
Published: February 2022

AbstractSharing successful practices with other stakeholders is important for achieving SDGs. In this study, with a deep-learning natural language processing model, bidirectional encoder representations from transformers (BERT), the authors aimed to build (1) a classifier that enables semantic mapping of practices and issues in the SDGs context, (2) a visualizing method of SDGs nexus based on co-occurrence of goals (3) a matchmaking process between local issues and initiatives that may embody solutions. A data frame was built using documents published by official organizations and multi-labels corresponding to SDGs. A pretrained Japanese BERT model was fine-tuned on a multi-label text classification task, while nested cross-validation was conducted to optimize the hyperparameters and estimate cross-validation accuracy. A system was then developed to visualize the co-occurrence of SDGs and to couple the stakeholders by evaluating embedded vectors of local challenges and solutions. The paper concludes with a discussion of four future perspectives to improve the natural language processing system. This intelligent information system is expected to help stakeholders take action to achieve the sustainable development goals.
Future steps in cardio-oncology—a national multidisciplinary survey among healthcare professionals in the Netherlands
Authors: Koop Yvonne , Teske Arco J. , Wanders Iris , Meijer Hanneke , Kaanders J. H. A. M. , Manintveld Olivier C. , Hassing H. Carlijne , Vermeulen Hester , Maas Angela H. E. M. , van Spronsen Dick-Johan , Atsma Femke , El Messaoudi Saloua 
Published: February 2022

Abstract

Background

The awareness of cancer therapy–related adverse cardiac effects is fueled by recent literature on cardiotoxicity incidence and detection strategies. Although this influences the sense of urgency, in current practice, cardiotoxicity monitoring and treatment is not structurally performed. With this study, we aimed to evaluate current perspectives on cardio-oncology and to assess needs, ultimately to determine an agenda for improvements in current practice.

Material and methods
A national multidisciplinary 36-question survey was conducted. The survey was developed by a multidisciplinary team, theoretically based on an implementation checklist and distributed by email, through cardiology and oncology societies as well as social media.

Results
One hundred ninety professionals completed the survey, of which 66 were cardiologists, 66 radiation oncologists, and 58 medical oncologists and hematologists. Many professionals were unaware of their specialisms’ cardio-oncology guidelines: 62.1% of cardiologists and 29.3% of the hematologists and medical oncologists respectively. Many cardiologists (N = 46; 69.7%), radiation oncologists (N = 45; 68.2%), and hematologists and medical oncologists (N = 38; 65.5%) expressed that they did not have sufficient knowledge to treat cardio-oncology patients and would either refer a patient or aspire to gain more knowledge on the topic.

Conclusion
The field of cardio-oncology is advancing rapidly, with progress in stratification and detection strategies leading to the development of new guidelines and consensus statements. However, the application of these guidelines in current practice appears to be lagging. Professionals express a need for additional training and a practical guideline including risk stratification, monitoring, and treatment strategies. Multidisciplinary discussion and consensus on cardio-oncology care is vital to improve implementation of cardio-oncology guidelines, ultimately to improve cardiac care for oncology patients.
Multimodal Mobility Assessment Predicts Fall Frequency and Severity in Cerebellar Ataxia
Authors: Schniepp Roman , Huppert Anna , Decker Julian , Schenkel Fabian , Dieterich Marianne , Brandt Thomas , Wuehr Max 
Published: February 2022

Abstract
This cohort study aims to evaluate the predictive validity of multimodal clinical assessment and quantitative measures of in- and off-laboratory mobility for fall-risk estimation in patients with cerebellar ataxia (CA).Occurrence, severity, and consequences of falling were prospectively assessed for 6 months in 93 patients with hereditary (N = 36) and sporadic or secondary (N = 57) forms of CA and 63 healthy controls. Participants completed a multimodal clinical and functional fall risk assessment, in-laboratory gait examination, and a 2-week inertial sensor-based daily mobility monitoring. Multivariate logistic regression analyses were performed to evaluate the predictive capacity of all clinical and in- and off-laboratory mobility measures with respect to fall (1) status (non-faller vs. faller), (2) frequency (occasional vs. frequent falls), and (3) severity (benign vs. injurious fall) of patients. 64% of patients experienced one or recurrent falls and 65% of these severe fall-related injuries during prospective assessment. Mobility impairments in patients corresponded to a mild-to-moderate ataxic gait disorder. Patients’ fall status and frequency could be reliably predicted (78% and 81% accuracy, respectively), primarily based on their retrospective fall status. Clinical scoring of ataxic symptoms and in- and off-laboratory gait and mobility measures improved classification and provided unique information for the prediction of fall severity (84% accuracy).These results encourage a stepwise approach for fall risk assessment in patients with CA: fall history-taking readily and reliably informs the clinician about patients’ general fall risk. Clinical scoring and instrument-based mobility measures provide further in-depth information on the risk of recurrent and injurious falling.
Towards AI application marketplaces - an interview with Dorian Selz
Authors: Alt Rainer , Zimmermann Hans-Dieter 
Published: February 2022

AbstractThis interview with the CEO from Squirro reports on how a search engine in the enterprise context evolves with artificial intelligence (AI) towards a cognitive search engine and ultimately towards an electronic marketplace for information objects. Using several examples, Dorian Selz describes the opportunities of Squirro‘s low-code in creating user-specific information objects from internal and external data sources as well as in deriving probabilities and projections. This not only has the potential to improve existing business processes, but also sheds light on new predictive capabilities. The example shows potential elements of future AI marketplaces, such as models, app directories and connectors.
Predicting the difficult laparoscopic cholecystectomy based on a preoperative scale
Authors: Ramírez-Giraldo Camilo , Alvarado-Valenzuela Kelly , Isaza-Restrepo Andrés , Navarro-Alean Jorge 
Published: February 2022

AbstractIt is important to establish the difficulty of a cholecystectomy preoperatively to improve the outcomes. There are multiple risk factors for a difficult cholecystectomy that may depend on the patient, the disease, or extrinsic factors. The aim of this study is to evaluate the predictive capacity of a difficult cholecystectomy with a preoperative scale. A diagnostic trial study was designed to evaluate the performance of a scale to predict the difficulty of laparoscopic cholecystectomy, considering as a reference standard the intraoperative findings evaluated according to an intraoperative difficulty scale. A ROC curve was performed and used to estimate predictive value of the preoperative score to predict the difficulty of a cholecystectomy preoperatively. The ROC curve shows an area of 0.88 under the curve. The calculated ideal cutoff was 8, with a sensitivity, specificity, positive predictive value and negative predictive value of 75.15%, 88.31%, 87.32 and 76.83%, respectively. It was demonstrated that, as the difficulty predicted by the preoperative scale increases, the rate of conversion to open procedure, the rate of subtotal cholecystectomies, the rate of complication and the rate of a critical view of safety failed increase. We suggest implementing the preoperative scale in all patients who are planning laparoscopic cholecystectomy, considering it a simple and easy tool to perform. This to inform the patient, organize the surgery schedule, select personnel, request support and have adequate pre-operative planning.
Graphical abstract