bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Cefazolin and Ceftriaxone as Antimicrobial Prophylaxis in Pancreatoduodenectomy with Preoperative Drainage: Incidence of Surgical Site Infection and Susceptibility of Bacteria in Bile
Authors: Soma Taihei , Ohgi Katsuhisa , Kurai Hanako , Sugiura Teiichi , Ashida Ryo , Yamada Mihoko , Otsuka Shimpei , Notsu Akifumi , Uesaka Katsuhiko 
Published: September 2023

AbstractBackgroundThe optimal perioperative antimicrobial agent for preventing surgical site infection (SSI) in pancreatoduodenectomy (PD) with preoperative biliary drainage (PBD) remains unclear.MethodsWe retrospectively reviewed 288 patients who underwent PD after PBD between 2010 and 2020 at our institution. Patients were classified into two groups according to the perioperative antimicrobial agent used (cefazoline [CEZ] group [n = 108] and ceftriaxone [CTRX] group [n = 180]). The incidence of SSI, type of bacteria in intraoperative bile culture (IBC), and antimicrobial susceptibility to prophylactic antimicrobial agents were analyzed.ResultsThe incidence of incisional SSI was significantly lower in the CTRX group than in the CEZ group (18% vs. 31%, P = 0.021), whereas the incidence of organ/space SSI in the two groups did not differ to a statistically significant extent (35% vs. 44%, P = 0.133). Gram‐negative rod (GNR) bacteria in the IBC showed better antimicrobial susceptibility in the CTRX group than in the CEZ group. In multivariate analysis, antimicrobial resistance due to GNR was a significant risk factor for incisional SSI (odds ratio, 3.50; P < 0.001).ConclusionsCTRX had better antimicrobial coverage than CEZ for GNR cultured from intraoperative bile samples. In addition, CTRX provides better antimicrobial prophylaxis than CEZ against superficial SSI in patients with PD after PBD.Trial registration numberThis study was not a clinical trial and had no registration numbers.
Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4
Authors: Krusche Martin , Callhoff Johnna , Knitza Johannes , Ruffer Nikolas 
Published: September 2023

AbstractPre-clinical studies suggest that large language models (i.e., ChatGPT) could be used in the diagnostic process to distinguish inflammatory rheumatic (IRD) from other diseases. We therefore aimed to assess the diagnostic accuracy of ChatGPT-4 in comparison to rheumatologists. For the analysis, the data set of Gräf et al. (2022) was used. Previous patient assessments were analyzed using ChatGPT-4 and compared to rheumatologists’ assessments. ChatGPT-4 listed the correct diagnosis comparable often to rheumatologists as the top diagnosis 35% vs 39% (p = 0.30); as well as among the top 3 diagnoses, 60% vs 55%, (p = 0.38). In IRD-positive cases, ChatGPT-4 provided the top diagnosis in 71% vs 62% in the rheumatologists’ analysis. Correct diagnosis was among the top 3 in 86% (ChatGPT-4) vs 74% (rheumatologists). In non-IRD cases, ChatGPT-4 provided the correct top diagnosis in 15% vs 27% in the rheumatologists’ analysis. Correct diagnosis was among the top 3 in non-IRD cases in 46% of the ChatGPT-4 group vs 45% in the rheumatologists group. If only the first suggestion for diagnosis was considered, ChatGPT-4 correctly classified 58% of cases as IRD compared to 56% of the rheumatologists (p = 0.52). ChatGPT-4 showed a slightly higher accuracy for the top 3 overall diagnoses compared to rheumatologist’s assessment. ChatGPT-4 was able to provide the correct differential diagnosis in a relevant number of cases and achieved better sensitivity to detect IRDs than rheumatologist, at the cost of lower specificity. The pilot results highlight the potential of this new technology as a triage tool for the diagnosis of IRD.
Effect of dissolved iron (II) and temperature on growth of the Southern Ocean phytoplankton species Fragilariopsis cylindrus and Phaeocystis antarctica
Authors: Aflenzer Helene , Hoffmann Linn , Holmes Thomas , Wuttig Kathrin , Genovese Cristina , Bowie Andrew Ross 
Published: September 2023

AbstractLow bioavailability of the vital element iron (Fe) limits primary production in large regions of the Southern Ocean, thus impacting phytoplankton community structures. Primary productivity seems to be particularly sensitive to the reduced form of iron (Fe(II)), which is thought to be the most readily bioavailable redox form of Fe in the ocean. Here, we investigated the impact of temperature (3 °C, 5 °C and 7 °C) and Fe(II) additions (+ 5 nM) on growth of two Southern Ocean phytoplankton species Fragilariopsis cylindrus and Phaeocystis antarctica in coastal and open ocean water. At all tested temperatures, growth rates of P. antarctica were significantly higher with added iron, compared to the treatments without added iron in both waters. Temperature only had a significant effect on the growth rate of this species when it was raised to 7 °C in all treatments. For F. cylindrus, growth rates only significantly increased with iron addition at 7 °C in both water types. Temperature did not affect the growth rate of F. cylindrus except for a significant reduction without iron addition at 7 °C in coastal water. These results highlight the complex interactions between Fe bioavailability and temperature on Southern Ocean phytoplankton growth. Thus, certain Southern Ocean phytoplankton species may have higher growth rates in regions of the ocean that will warm the most and possibly experience greater Fe supply under future climate conditions, such as coastal regions. This may result in changes in phytoplankton community structures with implications for carbon sequestration efficiency under future climate conditions.
International survey on the implementation of the European and American guidelines on disorders of consciousness
Authors: Farisco Michele , Formisano Rita , Gosseries Olivia , Kato Yoko , Koboyashi Shigeki , Laureys Steven , Lejeune Nicolas , Martial Charlotte , Matar Amal , Morrisey Ann-Marie , Schnakers Caroline , Yakufujiang Maidinamu , Yamaki Tomohiro , Veeramuthu Vigneswaran , Zandalasini Matteo , Zasler Nathan , Magliacano Alfonso , Estraneo Anna ,   IBIA Special Interest Group on DoCs
Published: September 2023

AbstractDiagnostic, prognostic, and therapeutic procedures for patients with prolonged disorders of consciousness (pDoCs) vary significantly across countries and clinical settings, likely due to organizational factors (e.g., research vs. non-academic hospitals), expertise and availability of resources (e.g., financial and human). Two international guidelines, one from the European Academy of Neurology (EAN) and one from the American Academy of Neurology (AAN) in collaboration with the American Congress of Rehabilitation Medicine (ACRM) and the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), were developed to facilitate consistent practice among professionals working with this challenging patient population. While the recommendations of both guidelines agree in principle, it remains an open issue how to implement them into clinical practice in the care pathway for patients with pDoCs. We conducted an online survey to explore health professional clinical practices related to the management of patients with pDoCs, and compare said practices with selected recommendations from both the guidelines. The survey revealed that while some recommendations are being followed, others are not and/or may require more honing/specificity to enhance their clinical utility. Particular attention should be given to the implementation of a multimodal assessment of residual consciousness, to the detection and treatment of pain, and to the impact of restrictions imposed by COVID-19 pandemics on the involvement of patients’ families/representatives.
Sleep-physiological correlates of brachycephaly in dogs
Authors: Iotchev Ivaylo Borislavov , Bognár Zsófia , Tóth Katinka , Reicher Vivien , Kis Anna , Kubinyi Enikő 
Published: September 2023

AbstractThe shape of the cranium is one of the most notable physical changes induced in domestic dogs through selective breeding and is measured using the cephalic index (CI). High CI (a ratio of skull width to skull length > 60) is characterized by a short muzzle and flat face and is referred to as brachycephaly. Brachycephalic dogs display some potentially harmful changes in neuroanatomy, and there are implications for differences in behavior, as well. The path from anatomy to cognition, however, has not been charted in its entirety. Here, we report that sleep-physiological markers of white-matter loss (high delta power, low frontal spindle frequency, i.e., spindle waves/s), along with a spectral profile for REM (low beta, high delta) associated with low intelligence in humans, are each linked to higher CI values in the dog. Additionally, brachycephalic subjects spent more time sleeping, suggesting that the sleep apnea these breeds usually suffer from increases daytime sleepiness. Within sleep, more time was spent in the REM sleep stage than in non-REM, while REM duration was correlated positively with the number of REM episodes across dogs. It is currently not clear if the patterns of sleep and sleep-stage duration are mainly caused by sleep-impairing troubles in breathing and thermoregulation, present a juvenile-like sleeping profile, or are caused by neuro-psychological conditions secondary to the effects of brachycephaly, e.g., frequent REM episodes are known to appear in human patients with depression. While future studies should more directly address the interplay of anatomy, physiology, and behavior within a single experiment, this represents the first description of how the dynamics of the canine brain covary with CI, as measured in resting companion dogs using a non-invasive sleep EEG methodology. The observations suggest that the neuroanatomical changes accompanying brachycephaly alter neural systems in a way that can be captured in the sleep EEG, thus supporting the utility of the latter in the study of canine brain health and function.
Exploring unsupervised pre-training for echo state networks
Authors: Steiner Peter , Jalalvand Azarakhsh , Birkholz Peter 
Published: September 2023

AbstractEcho State Networks (ESNs) are a special type of Recurrent Neural Networks (RNNs), in which the input and recurrent connections are traditionally generated randomly, and only the output weights are trained. However, recent publications have addressed the problem that a purely random initialization may not be ideal. Instead, a completely deterministic or data-driven initialized ESN structure was proposed. In this work, an unsupervised training methodology for the hidden components of an ESN is proposed. Motivated by traditional Hidden Markov Models (HMMs), which have been widely used for speech recognition for decades, we present an unsupervised pre-training method for the recurrent weights and bias weights of ESNs. This approach allows for using unlabeled data during the training procedure and shows superior results for continuous spoken phoneme recognition, as well as for a large variety of time-series classification datasets.
Effect of ADHD medication on risk of injuries: a preference-based instrumental variable analysis
Authors: Widding-Havneraas Tarjei , Elwert Felix , Markussen Simen , Zachrisson Henrik Daae , Lyhmann Ingvild , Chaulagain Ashmita , Bjelland Ingvar , Halmøy Anne , Rypdal Knut , Mykletun Arnstein 
Published: September 2023

AbstractADHD is associated with an increased risk of injury. Causal evidence for effects of pharmacological treatment on injuries is scarce. We estimated effects of ADHD medication on injuries using variation in provider preference as an instrumental variable (IV). Using Norwegian registry data, we followed 8051 patients who were diagnosed with ADHD aged 5 to 18 between 2009 and 2011 and recorded their ADHD medication and injuries treated in emergency rooms and emergency wards up to 4 years after diagnosis. Persons with ADHD had an increased risk of injuries compared to the general population (RR 1.35; 95% CI: 1.30–1.39), with higher risk in females (RR 1.47; 95% CI: 1.38–1.56) than males (RR 1.23; 95% CI: 1.18–1.28). The between-clinics variation in provider preference for ADHD medication was large and had a considerable impact on patients’ treatment status. There was no causal evidence for protective effects of pharmacological treatment on injuries overall for young individuals with ADHD characterized by milder or atypical symptoms. However, there was an apparent effect of pharmacological treatment over time on the risk of injuries treated at emergency wards in this patient group.
Making Sense of Electrical Stimulation: A Meta-analysis for Wound Healing
Authors: Rabbani Mamun , Rahman Enayetur , Powner Michael B. , Triantis Iasonas F. 
Published: September 2023

AbstractElectrical stimulation as a mode of external enhancement factor in wound healing has been explored widely. It has proven to have multidimensional effects in wound healing including antibacterial, galvanotaxis, growth factor secretion, proliferation, transdifferentiation, angiogenesis, etc. Despite such vast exploration, this modality has not yet been established as an accepted method for treatment. This article reviews and analyzes the approaches of using electrical stimulation to modulate wound healing and discusses the incoherence in approaches towards reporting the effect of stimulation on the healing process. The analysis starts by discussing various processes adapted in in vitro, in vivo, and clinical practices. Later it is focused on in vitro approaches directed to various stages of wound healing. Based on the analysis, a protocol is put forward for reporting in vitro works in such a way that the outcomes of the experiment are replicable and scalable in other setups. This work proposes a ground of unification for all the in vitro approaches in a more sensible manner, which can be further explored for translating in vitro approaches to complex tissue stimulation to establish electrical stimulation as a controlled clinical method for modulating wound healing.
Mobility trajectory generation: a survey
Authors: Kong Xiangjie , Chen Qiao , Hou Mingliang , Wang Hui , Xia Feng 
Published: September 2023

AbstractMobility trajectory data is of great significance for mobility pattern study, urban computing, and city science. Self-driving, traffic prediction, environment estimation, and many other applications require large-scale mobility trajectory datasets. However, mobility trajectory data acquisition is challenging due to privacy concerns, commercial considerations, missing values, and expensive deployment costs. Nowadays, mobility trajectory data generation has become an emerging trend in reducing the difficulty of mobility trajectory data acquisition by generating principled data. Despite the popularity of mobility trajectory data generation, literature surveys on this topic are rare. In this paper, we present a survey for mobility trajectory generation by artificial intelligence from knowledge-driven and data-driven views. Specifically, we will give a taxonomy of the literature of mobility trajectory data generation, examine mainstream theories and techniques as well as application scenarios for generating mobility trajectory data, and discuss some critical challenges facing this area.
Widely naturalized species are not more promiscuous to different nitrogen forms, but benefit more from inorganic nitrogen
Authors: Zeng Jianjun , Liu Yanjie , van Kleunen Mark 
Published: September 2023

AbstractNitrogen (N) has been considered a crucial factor influencing plant invasions. Many studies have assessed responses of alien plants to different N availabilities. However, in natural soils, N comes in different inorganic and organic forms. Few studies have explored yet whether responses of alien species to different N forms are related to their naturalization success globally. We selected 22 common herbaceous species native to Germany that have all become naturalized elsewhere in the world, but vary in their naturalization extent. We grew the species under six N conditions that differed in the availability or form of N, and assessed their growth performance. We found that neither biomass production nor promiscuity to different N forms was related to naturalization success of the species. However, the biomass response to inorganic N, relative to organic N, was stronger for the widely naturalized species than for the less widely naturalized ones. Our comparative multi-species source-area study shows that although the widely naturalized species were not more promiscuous than the less widely naturalized species, they took more advantage of the inorganic-N forms. This indicates that naturalization success might be partly driven by a species’ ability to take advantage of increased inorganic N levels.
The evolution of multispecies populations: a multilevel selection perspective
Authors: Lean Christopher H. , Jones Christopher J. 
Published: September 2023

AbstractTwo or more independent species lineages can fuse through an evolutionary transition to form a single lineage, such as in the case of eukaryotic cells, lichens, and coral. The fusion of two or more independent lineages requires intermediary steps of increasing selective interdependence between these lineages. We argue a precursory selective regime of such a transition can be Multilevel Selection 1 (MLS1). We propose that intraspecies MLS1 can be extended to ecological multispecies arrangements. We develop a trait group selection (MLS1) model applicable to multispecies mutualistic interactions. We then explore conditions under which such a model could apply to mutualistic relationships between pollinators and plants. We propose that MLS1 could drive transitions towards higher interdependency between mutualists and stabilise obligate mutualisms in the face of invasion by cheater variants. This represents a radical extension of multilevel selection theory, applying it to the evolution of multispecies populations, and indicating new avenues for researching ecological community evolution.
Analytic solution and numerical validation of the transient regime in dry surface grinding
Authors: González-Santander Juan Luis 
Published: September 2023

AbstractIn the framework of Samara–Valencia model for heat transfer in dry surface grinding, analytical expressions for the time-dependent temperature field of the workpiece during the transient regime in which the wheel is engaged (cut-in) and disengaged (cut-out) from the workpiece are calculated. The main assumption we consider is a constant heat flux profile along the contact zone between the wheel and the workpiece. According to the analytical expression obtained for the temperature field, a closed-form expression for the maximum temperature during the cut-in transient regime has been obtained. Further, a very rapid method for the numerical evaluation of maximum temperature during the cut-out is described. This maximum temperature is responsible of the thermal damage of the workpiece. Experimental evidence shows that the thermal damage risk is greater during the cut-out transient regime. The present analytical model reproduces this experimental feature. Finally, the analytical results have been numerically validated using FEM analysis and are intended to be very useful for the monitoring of the online grinding process in order to avoid thermal damage.
Tin sulfide supported on cellulose nanocrystals-derived carbon as a green and effective catalyst for CO2 electroreduction to formate
Authors: Garino Nadia , Monti Nicolò , Bartoli Mattia , Pirri Candido F. , Zeng Juqin 
Published: September 2023

AbstractThis work reports a whole green two-step approach for the synthesis of novel catalysts for efficient CO2 conversion. A conductive carbon support was firstly obtained via pyrolysis of cellulose nanocrystals (CNCs), and the carbon surface was successively decorated with tin sulfide (SnS) through a microwave-assisted hydrothermal process. The morphology and carbon structure were characterized by field emission scanning electron microscopy and Raman spectroscopy, and the presence of SnS decoration was confirmed by X-ray photoelectron spectroscopy and X-ray diffraction analyses. The SnS supported on CNC-derived carbon shows enhanced catalytic activity for the CO2 conversion to formate (HCOO−). Good selectivity of 86% and high partial current density of 55 mA cm−2 are reached at − 1.0 V vs. reversible hydrogen electrode in KHCO3 electrolyte. Additionally, the mass activity of the composite catalyst achieves a value as high as 262.9 mA mgSn−1 for HCOO− formation, demonstrating good utilization efficiency of Sn metal. In this work, the low-cost CNC-derived carbon is evidenced to be easily decorated with metal species and thus shows high versatility and tailorability. Incorporating metal species with conductive high-surface carbon supports represents an effective strategy to realize active and stable electrocatalysts, allowing efficient utilization of metals especially the raw and precious ones.
Graphical abstract
Does flute angle influence box performance?
Authors: Wade Kelly , Todoroki Christine , Jamsari Aiman , Gray-Stuart Eli , Tohill Stephen , Bronlund John , Parker Kate 
Published: September 2023

AbstractIn the production of boxes, it is customary to align the flutes vertically, corresponding to a 0° flute angle. This configuration is widely believed to yield optimal compressive strength, despite existing evidence from corrugated flute boards and boxes that challenge this assumption. The present study investigates the hypothesis that non-vertical flute angles do not significantly compromise box compression strength and may potentially offer enhancements in other performance characteristics. Regular slotted container boxes (385 × 238 ×  300 mm) constructed from single wall C-flute board were used in this study. Ten flute angles were selected for box level testing: 0°, 5°, 7.5°, 10°, 12.5°, 15°, 20°, 30°, 45° and 60°. Samples of converted board were subjected to edge crush testing (ECT) following TAPPI T-811 and four-point-bending following TAPPI T-820. Box crush testing (BCT) followed NZS 1301.800 2006 (New Zealand Standard). Component testing results were consistent with previous studies. Outcomes showed a general linear reduction in ECT with increasing flute angle, and nonlinear relationships between flute angle and bending force and stiffness. At the box level, peak load did not decline significantly between 0° and 45°, however 60° flute angles had significantly lower peak loads (α = 0.05). At certain angles, notably 10° and 30°, less variation in peak load was observed. BCT force and stiffness of the box significantly improved in terms of median and variation at 10° and 30°. Therefore, a flute angle of less than 45° does not significantly reduce compression strength.
Reaction–Diffusion Problems on Time-Periodic Domains
Authors: Allwright Jane 
Published: September 2023

Abstract
Reaction–diffusion equations are studied on bounded, time-periodic domains with zero Dirichlet boundary conditions. The long-time behaviour is shown to depend on the principal periodic eigenvalue of a transformed periodic-parabolic problem. We prove upper and lower bounds on this eigenvalue under a range of different assumptions on the domain, and apply them to examples. The principal eigenvalue is considered as a function of the frequency, and results are given regarding its behaviour in the small and large frequency limits. A monotonicity property with respect to frequency is also proven. A reaction–diffusion problem with a class of monostable nonlinearity is then studied on a periodic domain, and we prove convergence to either zero or a unique positive periodic solution.