bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rivaroxaban bei tumorassoziierter venöser Thromboembolie
Authors: Bauersachs Rupert , Voigtländer Minna , Langer Florian 
Published: August 2023

ZusammenfassungDiese Übersichtsarbeit beschreibt Erkenntnisse zur Prävention und Therapie der tumorassoziierten venösen Thromboembolie (VTE) mit direkten Faktor-Xa-Inhibitoren (FXaI) und bezieht sich insbesondere auf das Studienprogramm CALLISTO mit Rivaroxaban. CALLISTO umfasst randomisierte klinische Prüfungen unterschiedlicher Fragestellungen sowie Real-World-Evidenz.Prävention und Therapie der tumorassoziierten VTE beruhten bisher auf niedermolekul1933aren Heparinen (NMH). Randomisierte kontrollierte Studien zeigten nun eine vergleichbare bis überlegene Wirksamkeit von FXaI vs. NMH. Die Erkenntnisse finden mittlerweile Eingang in Empfehlungen und Leitlinien. Zu beachten ist ein ggf. erhöhtes Blutungsrisiko, vor allem bei Patienten mit nicht resezierten gastrointestinalen oder urogenitalen Tumoren. Dieses wurde bei der Therapie mit FXaI zuerst beobachtet, kann jedoch auch NMH betreffen. Der Selektion geeigneter Patienten und der Optimierung von Behandlungspfaden kommt daher eine hohe Bedeutung zu.
Challenges and Ethical Considerations to Successfully Implement
Artificial Intelligence in Clinical Medicine and Neuroscience: a Narrative
Review
Authors: Monteith Scott , Glenn Tasha , Geddes John R. , Achtyes Eric D. , Whybrow Peter C. , Bauer Michael 
Published: August 2023

AbstractThis narrative review discusses how the safe and effective use of clinical
artificial intelligence (AI) prediction tools requires recognition of the
importance of human intelligence. Human intelligence, creativity, situational
awareness, and professional knowledge, are required for successful
implementation. The implementation of clinical AI prediction tools may change
the workflow in medical practice resulting in new challenges and safety
implications. Human understanding of how a clinical AI prediction tool performs
in routine and exceptional situations is fundamental to successful
implementation. Physicians must be involved in all aspects of the selection,
implementation, and ongoing product monitoring of clinical AI prediction
tools.
The Prognostic Value of the Age–D-Dimer–Albumin Score in Patients with Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention
Authors: He Hao-ming , Chen Yi-nong , Zeng Ji-lang , Zheng Shu-wen , Zhu Long-yang , Wang Zhe , Jiao Si-qi , Yang Fu-rong , Sun Yi-hong 
Published: August 2023

Background The Age–D-dimer–Albumin (ADA), the CREDO-Kyoto, and the PARIS scores have been established to predict thrombotic events. However, the prognostic performance of these scores compared to the GRACE score in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) has not been reported.
Methods Consecutive AMI patients treated with PCI were retrospectively enrolled at a teaching hospital in China from January 2016 to December 2019. The primary endpoint was all-cause mortality and the secondary endpoint was cardiac death. Harrell's C-index and net reclassification improvement (NRI) were used to compare the prognostic value of these scores with the GRACE score for mortality.
Results Of the 1,578 patients enrolled, the mean age was 62.5 years, and 23.5% were female. During a median follow-up of 3.8 years, 146 all-cause deaths and 80 cardiac deaths occurred. The ADA score showed a better prognostic performance than the GRACE (Harrell's C-index: 0.800 vs. 0.749; p = 0.003), the CREDO-Kyoto (Harrell's C-index: 0.800 vs. 0.765; NRI = 0.348, p < 0.001), and the PARIS scores (Harrell's C-index: 0.800 vs. 0.694; NRI = 0.556, p < 0.001). In the multivariable Cox regression analysis, the ADA score was independently associated with all-cause mortality (hazard ratio [HR] = 1.641 per 10-point increment, 95% confidence interval [CI]: 1.397–1.929) and cardiac death (HR = 1.636 per 10-point increment, 95% CI: 1.325–2.020). The risk of all-cause mortality and cardiac death increased with the rising of the ADA score.
Conclusion The ADA score showed a better prognostic performance than the GRACE, the CREDO-Kyoto, and the PARIS scores in patients with AMI undergoing PCI, which was a potential predictive tool for mortality.
Solution of lepton g − 2 anomalies with nonlocal QED
Authors: Li Hang , Wang P 
Published: August 2023

Abstract
An explanation using nonlocal quantum electrodynamics (QED) for lepton g − 2 anomalies is provided that is a simple extension of the standard model. This solution is based on the same gauge symmetry as QED without introducing any new particles and interactions. The correlation functions in the nonlocal strength tension and lepton–photon interaction make it possible to explain the discrepancies of both Δa

μ
and Δa

e
. With the same approach, the discrepancy of the anomalous magnetic moment of τ leptons from the standard model is estimated in the range from 1.19 × 10−5 to 3.21 × 10−3, which is covered by the current experimental uncertainty.
A piezoelectric energy harvester with a hybrid nonlinearity of bluff body and magnet repulsion in low threshold wind speed for power supply
Authors: He Lipeng , Hou Yi , Liu Xuejin , Liu Renwen , Yu Baojun , Huang Hu , Lin Jieqiong 
Published: August 2023

Abstract
The environment contains several substantial energies, such as low-speed wind, which can be harvested to power sensors for environment monitoring, data collection, etc. As a promising solution, a piezoelectric energy harvester with hybrid nonlinearity for low threshold wind speed and practical wind speed range is introduced in this paper. Because of the hybrid nonlinearity of bluff body and magnet, the symmetrically shaped bluff body can induce a greater cantilever deformation, and a stronger repulsion generates a higher swing frequency of the cantilever. Moreover, the dual lead zirconate titanate plate enhances the utilization efficiency of the magnet repulsion. The hybrid nonlinearity is studied in theoretical models, numerical simulations, and experiments. The harvester outputs a noticeable voltage at 2.5 m s−1. The highest output peak-to-peak voltage and power came to 33.72 VP–P, 0.346 mW in 5.5 m s−1, 800 kΩ. The application experiments also demonstrate the feasibility and stability of the harvester by powering LEDs and sensors, which enable sensors to be placed in a wider range with high stability for environment monitoring.
Research on the influence of an adhesive layer on the monitoring signal of piezoelectric sensors
Authors: Yu Hui , Guo Chenguang , Yue Haitao , Li Qiang , Dai Weibing , Wang Hui 
Published: August 2023

Abstract
Electromechanical impedance (EMI) technology, as one of the important methods for analyzing and studying the interaction between sensors and structures, has the characteristics of clear physical meaning and high computational efficiency. However, for complex structures, it is difficult to quantitatively combine the measured impedance signal with the physical parameters of the tested structure. Therefore, establishing an appropriate EMI model is crucial to facilitate the quantitative analysis of structural health monitoring. The impedance models developed so far assume perfect adhesion between PZT and the structure, with displacement compatibility, and ignore the shear lag effect of the adhesive layer. Therefore, this research focuses on analyzing how surface-bonded PZT couples with the structure through the adhesives and conducting a shear layer analysis on two-dimensional (2-D) circular PZT to derive a closed-form solution for shear lag distribution. The shear lag effect is integrated into the 2D impedance formula. The influence of the adhesive layer on bolt loosening monitoring is studied, and it is proven that the modified EMI model can effectively predict the shear lag effect of the adhesive layer. The result of relative error analysis proves that conventional adhesive PZT also exhibits the shear lag phenomenon. The influence of different thicknesses of adhesive layers on sensor sensitivity is studied. The experimental results show that as the thickness of the adhesive layer decreases, the monitoring sensitivity of the sensor increases. Moreover, for slight bolt loosening, the thickness of the adhesive layer can affect the monitoring frequency.
Construction of a quantum Stirling engine cycle tuned by dynamic-angle spinning
Authors: Çakmak Selçuk , Rastegar Sedehi H R 
Published: August 2023

Abstract
In this contribution, we investigate two coupled spins as a working substance of the quantum Stirling heat engine cycle. We propose an experimentally implementable scheme in which the cycle is driven by tuning the dipole-dipole interaction angle via a dynamic-angle spinning technique under a magnetic field. Realistic parameters are chosen for the proposed heat engine cycle. In addition, our goal is to calculate the power of the engine. To this end, we focus on the microdynamics of the quantum isothermal process to predict the required-time per engine cycle. The obtained results show that the engine has high efficiency. Furthermore, the engine attains maximum power at the same point where the maximum efficiency is satisfied.
Gravitational instability of dark-baryonic matter systems in f (R) gravity
Authors: Shu Chun-Hua , Zhang Ke-Xin , He Ke-Rong , Chen Hui , Liu San-Qiu 
Published: August 2023

Abstract
The gravitational instability of dark-baryonic matter systems is investigated by adopting Boltzmann-Vlasov equation in the background of f(R) gravity, the dispersion relation considering the κ-deformed Kaniadakis distribution is derived by exploiting the kinetic theory. The cases of high and low frequency perturbations are analyzed, respectively. In the high-frequency regime, as κ increases, the normalized frequency experiences a corresponding increase. Conversely, in the low-frequency regime, an increase in κ leads to a simultaneous decrease in both the growth rate and the critical wave number. Furthermore, Jeans mass limit of dark-baryonic matter systems in

f

R

gravity with κ-deformed Kaniadakis distribution is studied, it is found that the increase of T

eff
with the enlargement of κ, which leads to the increase of Jeans mass M
*. In additional, the influence of dispersion velocity ratio and density ratio of dark to baryonic matter is investigated, it is indicated that the amplification of the dispersion velocity ratio leads to the decrease of Jeans mass. It is worth emphasizing that the dark-bayonic matter system have a higher limitation of instability in f(R) gravity than that in the classical Newtonian gravity.
Exposing minimal composition of Kohn–Sham theory and its extendability
Authors: Nakada H 
Published: August 2023

Abstract
Reducing the many-fermion problem to a set of single-particle (s.p.) equations, the Kohn–Sham (KS) theory has provided a practical tool to implement ab initio calculations of ground-state energies and densities in many-electron systems. There have been attempts to extend the KS theory so that it could describe other physical quantities, or it could be applied to other many-fermion systems. By generalizing and reformulating the KS theory in terms of the 1-body density matrix, we expose the minimal composition of the theory that enables the reduction of the many-fermion problem to the s.p. equations. Based on the reformulation, several basic issues are reconsidered. The v- and N-representabilities for the KS theory are distinguished from those for the Hohenberg-Kohn theorem. Criteria for the extendability of the KS theory are addressed.
On a dynamical system linked to the BKL scenario
Authors: Conte Robert 
Published: August 2023

Abstract
We consider the six-dimensional dynamical system in three components introduced by Ryan to describe the scenario of Belinskii, Khalatnikov and Lifshitz to the cosmological singularity when the spatial metric tensor is not diagonal. Despite its nonintegrability, recently proven by Goldstein and Piechocki, the three four-dimensional systems defined by canceling one of the three components happen to be integrable. We express their general solution as a rational function of, respectively, two exponential functions, a third Painlevé function, two exponential functions.
Squeezed bispectrum and one-loop corrections in transient constant-roll inflation
Authors: Motohashi Hayato , Tada Yuichiro 
Published: August 2023

AbstractIn canonical single-field inflation, the production of primordial black holes (PBH) requires a transient violation of the slow-roll condition. The transient ultra slow-roll inflation is an example of such scenarios, and more generally, one can consider the transient constant-roll inflation. We investigate the squeezed bispectrum in the transient constant-roll inflation and find that Maldacena's consistency relation holds for a sufficiently long-wavelength mode, whereas it is violated for modes around the peak scale for the non-attractor case. We also demonstrate how the one-loop corrections are modified compared to the case of the transient ultra slow-roll inflation, focusing on representative one-loop terms originating from a time derivative of the second slow-roll parameter in the cubic action. We find that the perturbativity requirement on those terms does not rule out the production of PBH from the transient constant-roll inflation. Therefore, it is a simple counterexample of the recently claimed no-go theorem of PBH production from single-field inflation.
MeV to multi-TeV thermal WIMPs: most conservative limits
Authors: Dutta Koushik , Ghosh Avirup , Kar Arpan , Mukhopadhyaya Biswarup 
Published: August 2023

Abstract
We consider a weakly interacting massive
particle (WIMP) dark matter (DM) annihilating into
all possible Standard Model (SM) particle pairs,
including the SM neutrinos, via s-wave processes and
derive the branching ratio independent upper limit
on the total annihilation cross-section
〈σv〉 using the data of
CMB, gamma-ray, cosmic-ray and several neutrino
observations. For conservative choices of all relevant
astrophysical parameters, we obtain upper limits
of 10-23–10-25 cm3 s-1
on the total 〈σv〉 for the WIMP mass
range 10 MeV–100 TeV, thus making the
entire mass range consistent with the observed relic density.
An important input that goes into our analysis
is the assumption that thermal WIMPs can
have significant coupling to the SM neutrinos.
Forbidden dark matter annihilation into leptons with full collision terms
Authors: Aboubrahim Amin , Klasen Michael , Wiggering Luca Paolo 
Published: August 2023

Abstract
The standard approach of calculating the relic density of thermally produced dark matter
based on the assumption of kinetic equilibrium is known to fail for forbidden dark matter models
since only the high momentum tail of the dark matter phase space distribution function contributes
significantly to dark matter annihilations. Furthermore, it is known that the computationally less
expensive Fokker-Planck approximation for the collision term describing elastic scattering
processes between non-relativistic dark matter particles and the Standard Model thermal bath
breaks down if both scattering partners are close in mass. This, however, is the defining feature
of the forbidden dark matter paradigm. In this paper, we therefore include the full elastic
collision term in the full momentum-dependent Boltzmann equation as well as in a set of fluid
equations that couple the evolution of the number density and dark matter temperature for a
simplified model featuring forbidden dark matter annihilations into muon or tau leptons through a
scalar mediator. On the technical side, we perform all angular integrals in the full collision
term analytically and take into account the effect of dark matter self-interactions on the relic
density. The overall phenomenological outcome is that the updated relic density calculation
results in a significant reduction of the experimentally allowed parameter space compared to the
traditional approach, which solves only for the abundance. In addition, almost the entire
currently viable parameter space can be probed with CMB-S4, next-generation beam-dump experiments
or at a future high-luminosity electron-position collider, except for the resonant region where
the mediator corresponds to approximately twice the muon or tau mass.
First results from BRASS-p broadband searches for hidden photon dark matter
Authors: Bajjali Fayez , Dornbusch Sven , Ekmedžić Marko , Horns Dieter , Kasemann Christoph , Lobanov Andrei , Mkrtchyan Artak , Nguyen Le Hoang , Tluczykont Martin , Tuccari Gino , Ulrichs Johannes , Wieching Gundolf , Zensus Anton 
Published: August 2023

Abstract
We discuss first results from hidden photon dark matter searches made with a prototype of the Broadband Radiometric Axion/ALPs Search Setup (BRASS-p) in the range of particle mass of 49.63 μeV to 74.44 μeV
(frequency range of 12 GHz to 18 GHz). The conceptual design of BRASS and a detailed description of its present prototype, BRASS-p, are given, with a view of the potential application of such setups to hidden photon, axion, and axion-like particle (ALP) dark matter searches using heterodyne detectors in the range of particle mass from
40 μeV to 4000 μeV (10 GHz to 1 THz). Pioneering measurements made with BRASS-p achieve the record sensitivity of (0.3-1.0) × 10-13 to the kinetic mixing between the normal and hidden photons, assuming the dark matter is made entirely of unpolarized hidden photons. Based on these results, a discussion of further prospects for dark matter searches using the BRASS-p apparatus is presented.
Intrinsic symmetry of nonlocal nonlinear optical susceptibility tensor in degenerate multi-wave mixing
Authors: Ryzhikov P S , Makarov V A 
Published: August 2023

Abstract
Using energy and momentum conservation laws, we obtained the intrinsic symmetry relations for the nonlocal nonlinear optical susceptibility tensor in lossless nth order nonlinear medium of arbitrary symmetry class for the case when less than n + 1 electromagnetic waves with different frequencies interact. Particular attention is devoted to the relations of the components of this tensor, which cannot be obtained as limiting case from the symmetry relations for the nonlocal nonlinear susceptibility tensor describing interaction of exactly n + 1 waves with different frequencies. The examples of these symmetry relations for degenerate second- and third-order processes often considered are given.
Simple model for cluster radioactivity half-lives in trans-lead nuclei*
Authors: Zhu 朱 Xiao-Yan 小彦 , Luo 骆 Song 松 , Qi 亓 Lin-Jing 林静 , Zhang 张 Dong-Meng 冬萌 , Li 李 Xiao-Hua 小华 , Lin 林 Wen-Bin 文斌 
Published: August 2023

Abstract
In this study, considering the modified preformation probability

to be

, where

and

are the α-particle preformation probability and an adjustable parameter proposed by Wang et al. [Chin. Phys. C 45, 044111 (2021)], respectively, we extend a new simple model put forward by Bayrak [J. Phys. G 47, 025102 (2020)] to systematically study the cluster radioactivity half-lives of 28 trans-lead nuclei ranging from

to

, which is based on the Wentzel-Kramers-Brillouin approximation and Bohr–Sommerfeld quantization condition. For comparison, a universal decay law proposed by Qi et al. [Phys. Rev. C 80, 044326 (2009)], a three-parameter model-independent formula put forward by Balasubramaniam et al. [Phys. Rev. C 70, 017301 (2004)], and the semi-empirical model proposed by Tavares et al. [Eur. Phys. J. A 49, 1 (2013)] are used. Our calculated results reproduce the experimental data well, with a standard deviation of 0.818. Furthermore, we use this model to predict the cluster radioactivity half-lives of 51 possible cluster radioactive candidates whose cluster radioactivities are energetically allowed or observed but not yet quantified in NUBASE2020.
Machine learning approach to percolation transitions: global information
Authors: Oh Soo Min , Choi Kwangjong , Kahng B 
Published: August 2023

Abstract
Recently, a machine learning (ML) approach has been proposed to determine the percolation threshold and critical behaviors of percolation transitions (PTs), based on the ML algorithm used for the phase transition in thermal equilibrium systems. However, we have observed that the conventional ML approach used for thermal systems does not accurately provide the percolation threshold, in particular when the training regions for ML are asymmetrical with respect to its known value. Here, we remark that percolation is a geometric phase transition, and thus global information, rather than the local configurations used in thermal systems, is needed to determine the percolation threshold. To address this, we assign a parent node index to each node, which is updated during cluster merging, capturing global information on the ancestor of each node. Utilizing this quantity as input data for the convolutional neural network in the ML algorithm, we successfully obtain the correct percolation threshold regardless of whether the training regions are symmetric or asymmetric with respect to the known value. This validity holds independently of the PT type: continuous, hybrid, or discontinuous. As the concept of percolation is applied to various phenomena, this ML algorithm could be used ubiquitously.
Breast Cancer Classification using Random Forest Algorithm
Authors: Batool Amreen , Byun Yung-Cheol 
Published: August 2023

Abstract
This study uses detect breast cancer based on Random Forest (RF). It is crucial to diagnose the illness to identify treatment solutions closely linked to patient safety. Breast cancer is diagnosed using past medical records and various classification methods used in data mining fields today. Each technique performs differently depending on the input feature types and model parameters. Neutral Networks have been proven to be more effective in data analysis and pre-diagnosis without requiring medical knowledge. The study reduces diagnostic variance and increases diagnostic accuracy by overcoming the limitation of individual models. The Random Forest model had a training and validation accuracy of 90% and 91%.
Wired-Wireless Hierarchical Sensor Network using Zero power Sensor Node
Authors: Yamawaki Akira , Miyauchi Makoto , Serikawa Seiichi 
Published: August 2023

Abstract
The wireless sensor network, WSN, is a promising technology to make our social life better. However, the maintenance of the battery attached to each sensor node avoids WSN widely be used. The zero standby-power sensor node (ZSSN) extends battery life by eliminating standby power, but they impose high cost and maintenance burdens because each node has its own battery and wireless module. This paper proposes a wired-wireless hierarchical sensor network consisting of a small network group of ZPSNs (Zero power sensor node) with large capacitor as power supply that are wired together, and the parent node has a wireless module and an energy harvester. The proposed WSN can suppress the number of energy harvesters and wireless modules to that of groups. There are no batteries by replaced to the capacitors. That is, our WSN can reduce the maintenance and cost caused by which there is no battery, and each only parent node has wireless module and energy harvester. The experimental result shows that the standby ZPSN can keep enough voltage 48 days on the large capacitor to operate in active mode correctly.