bluuebunny/crossref_metadata_2025_split huggingface dataset:
Invasive fractional-flow-reserve prediction by coronary CT angiography using artificial intelligence vs. computational fluid dynamics software in intermediate-grade stenosis
Authors: Peters Benjamin , Paul Jean-François , Symons Rolf , Franssen Wouter M.A. , Nchimi Alain , Ghekiere Olivier 
Published: July 2024

AbstractCoronary computed angiography (CCTA) with non-invasive fractional flow reserve (FFR) calculates lesion-specific ischemia when compared with invasive FFR and can be considered for patients with stable chest pain and intermediate-grade stenoses according to recent guidelines. The objective of this study was to compare a new CCTA-based artificial-intelligence deep-learning model for FFR prediction (FFRAI) to computational fluid dynamics CT-derived FFR (FFRCT) in patients with intermediate-grade coronary stenoses with FFR as reference standard. The FFRAI model was trained with curved multiplanar-reconstruction CCTA images of 500 stenotic vessels in 413 patients, using FFR measurements as the ground truth. We included 37 patients with 39 intermediate-grade stenoses on CCTA and invasive coronary angiography, and with FFRCT and FFR measurements in this retrospective proof of concept study. FFRAI was compared with FFRCT regarding the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy for predicting FFR ≤ 0.80. Sensitivity, specificity, PPV, NPV, and diagnostic accuracy of FFRAI in predicting FFR ≤ 0.80 were 91% (10/11), 82% (23/28), 67% (10/15), 96% (23/24), and 85% (33/39), respectively. Corresponding values for FFRCT were 82% (9/11), 75% (21/28), 56% (9/16), 91% (21/23), and 77% (30/39), respectively. Diagnostic accuracy did not differ significantly between FFRAI and FFRCT (p = 0.12). FFRAI performed similarly to FFRCT for predicting intermediate-grade coronary stenoses with FFR ≤ 0.80. These findings suggest FFRAI as a potential non-invasive imaging tool for guiding therapeutic management in these stenoses.
Knowledge graph embedding closed under composition
Authors: Zheng Zhuoxun , Zhou Baifan , Yang Hui , Tan Zhipeng , Sun Zequn , Li Chunnong , Waaler Arild , Kharlamov Evgeny , Soylu Ahmet 
Published: July 2024

AbstractKnowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly important, as they involve nearly all relations in KGs. However, prior KGE approaches often consider relations to be compositional only if they are well-represented in the training data. Consequently, it can lead to performance degradation, especially for under-represented composition patterns. To this end, we propose HolmE, a general form of KGE with its relation embedding space closed under composition, namely that the composition of any two given relation embeddings remains within the embedding space. This property ensures that every relation embedding can compose, or be composed by other relation embeddings. It enhances HolmE’s capability to model under-represented (also called long-tail) composition patterns with limited learning instances. To our best knowledge, our work is pioneering in discussing KGE with this property of being closed under composition. We provide detailed theoretical proof and extensive experiments to demonstrate the notable advantages of HolmE in modelling composition patterns, particularly for long-tail patterns. Our results also highlight HolmE’s effectiveness in extrapolating to unseen relations through composition and its state-of-the-art performance on benchmark datasets.
A tropical-algebraic method for the control of timed event graphs with partial synchronization
Authors: Schafaschek Germano , Hardouin Laurent , Raisch Jörg 
Published: July 2024

AbstractThis paper studies a scenario in which the occurrence of one or more events in a discrete event system is subject to external restrictions which may change unexpectedly during run-time. The system is modeled as a timed event graph (TEG) and, in this context, the presence of the aforementioned external restrictions has become known as partial synchronization (PS). This phenomenon arises naturally in several applications, from manufacturing to transportation systems. We develop a formal and systematic method to compute optimal control signals for TEGs in the presence of PS, where the control objective is tracking a given output reference as closely as possible and optimality is understood in the widely-adopted just-in-time sense. The approach is based on the formalism of tropical semirings — in particular, the min-plus algebra and derived semiring of counters. We claim that our method expands modeling and control capabilities with respect to previously existing ones by tackling the case of time-varying PS restrictions, which, to the best of our knowledge, has not been dealt with before in this context.
Bayesian design methods for improving the effectiveness of ecosystem monitoring
Authors: Thilan A. W. L. Pubudu , Peterson Erin , Menéndez Patricia , Caley Julian , Drovandi Christopher , Mellin Camille , McGree James 
Published: July 2024

AbstractAdaptive design methods can be used to make changes to survey designs in ecosystem monitoring to ensure that informative data are collected in an ongoing, cost-effective, and flexible manner. Such methods are of particular benefit in environmental monitoring as such monitoring is often very costly and in many cases consists of only a few sampling sites from which inference about a larger geographical region is needed. In addition, ecological processes are continuously changing, and monitoring programs must account for both known and unknown drivers, so making changes to data collection plans over time may be needed based on the current state and understanding of the process of interest. Through considering a Long-term Monitoring Program of Australia’s Great Barrier Reef, this paper aims to develop adaptive design approaches to efficiently monitor coral health through the consideration of a statistical model that accounts for both spatial variability and time-varying disturbance patterns. In particular, to develop this model, we considered time-varying disturbance data that have been reproduced at a fine spatial resolution for uniform representation over the study region. By adopting our proposed approach, we show that adaptive designs are able to significantly reduce survey effort while still remaining effective in, for example, quantifying the effects of different environmental disturbances.
Survival outcomes and healthcare utilization between immigrant patients and Danish-born patients with hematological cancers: a Danish population-based study
Authors: Baech Joachim , Jakobsen Lasse Hjort , Simonsen Mikkel Runason , Severinsen Marianne Tang , Frederiksen Henrik , Niemann Carsten Utoft , Brown Peter , Jørgensen Judit Mészáros , Dann Eldad J. , Johnsen Søren Paaske , El-Galaly Tarec Christoffer 
Published: July 2024

AbstractOverall survival (OS) for patients with a hematological cancer may differ between immigrant and Danish-born patients due to disparities in socioeconomic status, health literacy, and language proficiency. This cohort study aimed to investigate survival and hospitalization according to immigrant status while controlling for confounders. Patients with newly diagnosed hematological cancer in 2000–2020 were identified in the Danish nationwide hematological registers and stratified into Danish-born, Western, and non-Western patients. Patients were followed from diagnosis until death, 31st December 2021, or emigration, whichever came first. Crude OS, standardized OS, and 5-years OS differences were computed using flexible parametric models and hazard ratios using Cox regression. Number of hospitalization days in the year before and after diagnosis, respectively, were calculated using Poisson regression. A total of 2,241 immigrants and 41,519 Danish-born patients with a hematological cancer were included. Standardized 5-years OS was similar between groups with 58% (95% confidence interval 57–58%) for Danish-born patients, 57% (55–60%) for Western, and 56% (53–58%) for non-Western immigrant patients. Subgroup analyses identified OS differences in selected subgroups. Non-Western immigrant patients had 1.3 (0.5–2.1) more hospitalization days in the year before diagnosis and an adjusted incidence rate ratio of hospitalization days of 1.14 (1.13–1.15) in the year after diagnosis compared with Danish-born patients. In conclusion, there were no overall differences in survival when comparing immigrant patients to Danish-born patients after controlling for relevant confounders. Healthcare utilization was slightly higher among non-Western immigrant patients before and after diagnosis, but differences were small on an individual patient level.
Environmental relevance monitoring and assessment of ochreous precipitates, hydrochemistry and water sources from abandoned coal mine drainage
Authors: Tran Tuan Quang , Riechelmann Sylvia , Banning Andre , Wohnlich Stefan 
Published: July 2024

AbstractThis study investigated the mineralogical and chemical characteristics of ochreous precipitates and mine water samples from abandoned Upper Carboniferous hard coal mines in an extensive former mining area in western Germany. Mine water characteristics have been monitored and assessed using a multi-methodological approach. Thirteen mine water discharge locations were sampled for hydrochemical analysis, with a total of 46 water samples seasonally collected in the whole study area for stable isotopic analyses. Mineralogical composition of 13 ochreous precipitates was identified by a combination of powder X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and field emission scanning electron microscopy (FE-SEM/EDS). Results showed that abandoned mine drainage was characterized by circumneutral pH, Eh values ranging from 163 to 269 mV, relatively low concentrations of Fe and Mn, and was dominated by HCO3− > SO42− > Cl− > NO3−and Na+ > Ca2+ > Mg2+ > K+. Goethite and ferrihydrite were the dominant precipitated Fe minerals, with traces of quartz, dolomite, and clay minerals. Some metal and metalloid elements (Mn, Al, Si, and Ti) were found in the ochreous sediments. The role of bacteria in the formation of secondary minerals was assessed with the detection ofLeptothrix ochracea. The δ18O and δ2H values of mine water plotted on and close to the GMWL and LMWLs indicated local derivation from meteoric water and represented the annual mean precipitation isotopic composition. Results might help to develop strategies for the management of water resources, contaminated mine water, and public health.
Integrating space syntax and system dynamics for understanding and managing change in rural housing morphology: a case study of traditional village houses in Düzce, Türkiye
Authors: Gökçen Dilara , Özbayraktar Mehtap 
Published: July 2024

AbstractThis study analyses the changes in rural dwellings influenced by social and cultural evolution. The evolution of rural dwellings is associated with changes in living standards and attitudes, resulting in a transformation into units that focus on aesthetics and functionality rather than just shelter. The fieldwork in Düzce Province, Turkey, was supported by questionnaires, oral history interviews, satellite images, and photographs. The analysis of spatial change in rural houses was conducted using space syntax analysis and system dynamics analysis. The study aims to examine physical changes in rural dwellings, evaluate ‘spatial change’ through interactive application of the concepts of ‘spatial analysis’ and ‘complex system analysis’, preserve the authenticity and continuity of rural dwellings against change to improve the quality of life, and propose intervention strategies and scenarios for addressing changing problems. The findings indicate that traditional houses can be sustained and at the same time the authenticity of the dwelling can be preserved in its spatial context. This study is significant for comprehending the evolutionary change in rural housing and integrating it into planning processes.
Ductile shear damage micromechanisms studied by correlative multiscale nanotomography and SEM/EBSD for a recrystallized aluminum alloy 2198 T8
Authors: Kong Xiang , Hurst Mathias , Helfen Lukas , Gaslain Fabrice , Baumbach Tilo , Suhonen Heikki , Morgeneyer Thilo F. 
Published: July 2024

AbstractThe damage mechanisms of ductile fracture under shear loading of an aluminum alloy 2198T8R were studied using flat thin-sheet samples. One sample was loaded until 85% of the failure displacement and then unloaded, and another one was loaded up to failure. To overcome the inherent shortcomings of nanotomography concerning the investigation of flat samples, synchrotron nano-laminography was applied to the pre-loaded sample and provided structural information down to the nanometer scale, allowing ductile damage nucleation and evolution to be studied. The damage features, including flat cracks and intermetallic particle-related damage, were visualized in 3D from the highly-deformed shear band region. Using nano-laminography, no nano-voids were found. The damaged shear ligament was also observed after polishing via destructive correlative scanning electron microscope (SEM) and electron back-scatter diffraction (EBSD) which suggests that the detrimental flat cracks were both intergranular and transgranular. The flat cracks were related to highly-deformed bands. No nano-voids could be found using SEM analysis. Fractography on the second broken sample revealed that the flat cracks contained hardly observable nanometer-sized dimples. The final coalescence region was covered by sub-micrometer-sized dimples, inside which dispersoid particles were present. The fact that no nano-void was found for the pre-deformed sample implies that the nucleation, growth and coalescence of these sub-micrometer-sized voids occur at late stages of the loading history.
Graphene-based Sm-doped Co-ferrite for environmental applications
Authors: Ramadan Rania , Shafaay Amira S. 
Published: July 2024

AbstractA graphene-based Sm-doped Co-ferrite CoSmFe-G nanosample was created using the citrate auto-combustion method. It acts as an antibacterial agent and heavy metal remover. The sample’s physical properties were analyzed using various techniques including X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy, scanning electron microscopy (FE-SEM), zeta potential, and vibrating sample magnetometer (VSM) measurements. The XRD results confirmed the presence of a single-phase cubic spinel structure. The experimental results indicated that doping with graphene and samarium significantly altered the magnetic properties of CoSmFe-G nanoparticles, reducing the saturation magnetization (MS) values to 35.759 emu/g. The sample showed antibacterial properties against both gram-positive and gram-negative bacteria, with inhibition zones measuring 12–14.5 mm in diameter. Additionally, the sample exhibited efficient (Pb2+) adsorption, with a maximum removal capacity of 99.8% and a multilayer adsorption mechanism indicated by the pseudo-second-order isotherm and Freundlich model matching. The study explores the binding interactions for lead removal and highlights the potential of using graphene-based Sm-doped Co-ferrite (CoSmFe-G) nano samples as a bio-adsorbent and antibacterial agent. This could lead to practical and efficient solutions for water disinfection.
Electronic structure and delithiation mechanism of vanadium and nickel doped Li2MnPO4F cathode material for lithium-ion batteries
Authors: Chen Rui , Luo Jiaolian , Yang Anqi , Xie Zhenyu , Elnaggar Ashraf Y. , Liu Baosheng , El-Bahy Salah M. , Guo Zhanhu 
Published: July 2024

AbstractThis study calculates the energy band structure and density of states of Lithium manganese fluorophosphate (Li2MnPO4F, a lithium transition metal phosphate compounds) using the first-principles plane-wave pseudopotential approach within the density-functional theory. The model of Li2M0.5Mn0.5PO4F (M = V, Ni) with transition metal doped Mn sites is constructed by using the CASTEP module. The calculation findings indicate that the transition metal doping can regulate the energy band structure of the intrinsic system, and Li2MnPO4F makes the band gap decrease, and the volume increase with the Li ions of being deintercalated, and the electrons can be readily stimulated from the valence band to the conduction band. The findings indicate that Li2MnPO4F is a favorable cathode material for high-voltage lithium ion batteries (LIBs). The introduction of vanadium (V) and nickel (Ni) doping reduces the band gap, facilitating an easier excitation of electrons from the valence band to the conduction band. This study provides a theoretical study of new cathode materials for high performance LIBs.
Musculoskeletal Health and Work: Development and Internal–External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare
Authors: Archer Lucinda , Peat George , Snell Kym I. E. , Hill Jonathan C. , Dunn Kate M. , Foster Nadine E. , Bishop Annette , van der Windt Danielle , Wynne-Jones Gwenllian 
Published: July 2024

Abstract
Purpose
To develop and validate prediction models for the risk of future work absence and level of presenteeism, in adults seeking primary healthcare with musculoskeletal disorders (MSD).

Methods
Six studies from the West-Midlands/Northwest regions of England, recruiting adults consulting primary care with MSD were included for model development and internal–external cross-validation (IECV). The primary outcome was any work absence within 6 months of their consultation. Secondary outcomes included 6-month presenteeism and 12-month work absence. Ten candidate predictors were included: age; sex; multisite pain; baseline pain score; pain duration; job type; anxiety/depression; comorbidities; absence in the previous 6 months; and baseline presenteeism.

Results
For the 6-month absence model, 2179 participants (215 absences) were available across five studies. Calibration was promising, although varied across studies, with a pooled calibration slope of 0.93 (95% CI: 0.41–1.46) on IECV. On average, the model discriminated well between those with work absence within 6 months, and those without (IECV-pooled C-statistic 0.76, 95% CI: 0.66–0.86). The 6-month presenteeism model, while well calibrated on average, showed some individual-level variation in predictive accuracy, and the 12-month absence model was poorly calibrated due to the small available size for model development.

Conclusions
The developed models predict 6-month work absence and presenteeism with reasonable accuracy, on average, in adults consulting with MSD. The model to predict 12-month absence was poorly calibrated and is not yet ready for use in practice. This information may support shared decision-making and targeting occupational health interventions at those with a higher risk of absence or presenteeism in the 6 months following consultation. Further external validation is needed before the models’ use can be recommended or their impact on patients can be fully assessed.
Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition
Authors: Girometti Laura , Huska Martin , Lanza Alessandro , Morigi Serena 
Published: July 2024

AbstractMany tasks in real life scenarios can be naturally formulated as nonconvex optimization problems. Unfortunately, to date, the iterative numerical methods to find even only the local minima of these nonconvex cost functions are extremely slow and strongly affected by the initialization chosen. We devise a predictor–corrector strategy that efficiently computes locally optimal solutions to these problems. An initialization-free convex minimization allows to predict a global good preliminary candidate, which is then corrected by solving a parameter-free nonconvex minimization. A simple algorithm, such as alternating direction method of multipliers works surprisingly well in producing good solutions. This strategy is applied to the challenging problem of decomposing a 1D signal into semantically distinct components mathematically identified by smooth, piecewise-constant, oscillatory structured and unstructured (noise) parts.
The determinants of European universities patenting and co-patenting with companies
Authors: Wolszczak-Derlacz Joanna 
Published: July 2024

AbstractThis study examines the determinants of European universities patenting and co-patenting with companies. The analysis takes into account more than 400 universities from 17 countries over the period 2011–2018. We test several determinants of the commercial activity of universities, such as: student enrolment (size), age, public or private nature of the institution, students per academic staff, publications per academic staff (research orientation), non-academic staff per academic staff, funding structure (core and third-party budget) and prior patent activity. We estimate two-part models with zero-inflated negative binomial/zero-inflated beta regressions, which estimate separately the impact of the determinant of patenting (count data/proportion of joint company-university patents) and the probability of no patenting. The results indicate that the main determinants of universities patenting and co-patenting with companies are: size, age, research orientation and funding structure. As for patents per se, the determinants of starting patenting are the same as continuing patenting, while for joint company-university patents, most of the determinants differently affect starting joint-patenting than increasing the proportion of co-patents with companies in all patents.
A low-cost UWB microwave imaging system for early-stage breast cancer detection
Authors: Hammouch Nirmine , Rghioui Amine , Ammor Hassan , Oubrek Mohamed , Lloret Jaime 
Published: July 2024

AbstractIn this paper, a modern and effective approach with high resilience for microwave imaging of breast tumor detection using 12 antennas is presented. The proposed antenna array operates from 3.1 GHz to 11.6 GHz according to FCC frequencies, which enables the imaging system to mix two advantages at the same time, deep penetration, and high resolution for accurate image acquisition. The suggested antenna array has a compact size of 21 × 21 × 12 cm3, this allows for the integration of as many elements as feasible, provided that the coupling between them remains within an acceptable range. This ensures improved accuracy and resolution in the resulting image. The 3D system is arranged in a circular manner around the phantom to cover all breast positions. A measurement campaign will then be made in different scenarios to detect the tumor using two artificial breasts with and without tumor, their dielectric properties and physiological arrangement approximate those of a natural breast. The proposed microwave imaging system can detect and identify all targets, making it one of the most effective systems for detecting breast tumors.