bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wireless sensor network security defense strategy based on Bayesian reputation evaluation model
Authors: Teng Zhijun , Zhu Sian , Li Mingzhe , Yu Libo , Gu Jinliang , Guo Liwen 
Published: December 2023

AbstractIn order to solve the security problems caused by malicious nodes in wireless sensor networks, a TS‐BRS reputation model based on time series analysis is proposed in this paper. By using the time series analysis method, the matching analysis of two time series is carried out to reduce the interference of channel conflicts on the reputation evaluation model and improve the accuracy of model recognition. In order to improve the adaptability of the evaluation model, the adaptive maintenance function μ is introduced into the update of credit value, which aggravates the influence of node behaviour on credit value at the present stage. The simulation results show that the new reputation evaluation model can effectively improve the detection rate and detection speed of malicious nodes in the network. After the introduction of maintenance function, the reputation value of the captured malicious nodes in the network has a faster convergence speed.
Multiscale feature fusion network for monocular complex hand pose estimation
Authors: Zhan Zhi , Luo Guang 
Published: December 2023

AbstractHand pose estimation based on a single RGB image has low accuracy due to the complexity of the pose, local self‐similarity of finger features, and occlusion. A multiscale feature fusion network (MS‐FF) for monocular vision gesture pose estimation is proposed to address this problem. The network can take full advantage of different channel information to enhance important gesture information, and it can simultaneously extract features from feature maps of different resolutions to obtain as much detailed feature information and deep semantic information as possible. The feature maps are merged to obtain the hand pose results. The InterHand2.6M dataset and Rendered Handpose Dataset (RHD) are used to train the MS‐FF. Compared with the other methods, the MS‐FF obtains the smallest average error of hand joints, verifying its effectiveness.
Battery doctor ‐ next generation battery health assessment: Definition, approaches, challenges and opportunities
Authors: Dong Zhao Yang , Zhang Zhijun , Zhang Rui , Wang Tianjing 
Published: December 2023

AbstractA new concept of battery doctor is proposed for the next generation battery health assessment, first, the comprehensive assessment framework integrating the multiple health indices is formulated, where the bottom‐up assessment hierarchy is used to provide the holistic health indicator from the battery cell to the large‐format battery. Second, several options for defining a uniform indicator state of X is provided to effectively measure the battery health, which contributes to promoting the health assessment from state of charge and stage of health to state of X. Finally, the future challenges and opportunities of developing the battery doctor are disclosed from three different viewpoints, which is to incentivize the technology breakthrough for the next generation battery health assessment.
Forest nighttime image enhancement based on improved SCI light estimation and reflection optimization
Authors: Zhang Xian , Li Yanfeng , Zhang Hanyue 
Published: December 2023

AbstractThe images captured by forest nighttime imaging devices are prone to degradation and noise issues due to environmental constraints. This paper proposes a novel framework based on the self‐calibrating illumination framework to improve image quality. The framework consists of four specific steps: (1) addressing non‐uniform degradation by estimating illuminance components through non‐uniform MaxRGB, (2) extracting rich information using multi‐scale inflationary convolution, (3) analyzing the relationship between different input levels and the initial level and progressively adjusting the luminance components using a channel self‐calibration module to achieve continuous improvement in luminance, and (4) designing a reflectance optimization module that enhances illuminance while suppressing noise through a regularization model. To evaluate the proposed method, a dataset comprising 1000 forest night images is constructed using an image simulation strategy. The effectiveness of this method was validated on both synthetic and real datasets, demonstrating its ability to significantly enhance nighttime forest images. When compared to six other algorithms, this method outperformed them in eight evaluation metrics, including a peak signal‐to‐noise ratio metric of 22.839 and a structural similarity metric of 0.909. The experimental results clearly indicate that this method excels in enhancing image quality and fidelity.
Wideband 0.5–50 GHz double‐ridged guide horn antenna using coaxial‐to‐ridge waveguide launcher
Authors: Jacobs Bennie , Odendaal Johann W. , Joubert Johan 
Published: December 2023

AbstractEver‐increasing bandwidth requirements from various industries drive the need for the ever‐increasing bandwidth of antennas used for testing. Broadband Double‐Ridged Guide Horn (DRGH) antennas are used extensively in antenna measurement and ElectroMagnetic Compatibility/Interference (EMC/I) testing. The current state‐of‐the‐art broadband DRGH antennas reported in the literature for use in measurement applications cover bandwidth ratios as large as 36:1 (0.5–18 GHz). This paper presents the design and realisation of a DRGH antenna with a 100:1 bandwidth ratio (0.5–50 GHz). To achieve such a wide bandwidth, the ridge gap, width and feed were optimised, and a novel coaxial‐to‐ridge waveguide launcher section based on a typical Vivaldi antenna was developed. Backward radiation was reduced using an absorber‐filled cavity. A prototype DRGH antenna was manufactured using additive manufacturing, also referred to as 3D printing. Simulated and measured results obtained in an anechoic chamber are presented.
The Subdiaphragmatic Angle Of The Gastric Tube In Neonates –
A Potential Predictor For Perforations?
Authors: Diez Sonja , Bartos Hilda , Siemes Anna , Gerleve Hubert , Schock Alexandra , Besendörfer Manuel , Mahnken Andreas H. , Weiß Christel , Felderhoff-Müser Ursula , Müller Hanna 
Published: December 2023

Abstract
Background Traumatic subdiaphramatic perforation of esophagus or stomach
in neonates represents a rare clinical complication following the insertion of a
gastric tube and is associated with high morbidity and mortality. The aim of the
present study was to evaluate whether the angle of the gastric tube depicted on
a plain radiograph may serve as a diagnostic tool to predict subdiaphragmatic
traumatic (or iatrogenic) perforation.
Patients and methods Thoraco-abdominal radiographs of 128 preterm and term
neonates without perforation and 15 neonates with perforation of the
esophagogastric junction or the stomach were retrospectively analysed.
Results The angle of the gastric tube increases with postnatal age
(p=0.0380). In the control group, the angle of the gastric tube varied
between 13° and 48° (median: 31°), whereas the values
ranged from -31° to 42° (median: 11°) in neonates with
subdiaphragmatic perforation. Perforation should thus be suspected in cases with
an angle of<20° (sensitivity: 93.3%; specificity:
91.4%). Moreover, an unusual localization of the tip beyond the gastric
bubble is highly indicative of perforation.
Discussion The present study emphasizes the importance of verifying the
correct course of an inserted gastric tube.
Conclusions In daily clinical practice, an angle of<20°
should be followed by thorough physical examination, abdominal ultrasound and if
applicable contrast medium examinations to exclude perforation.
Sonomorphologic Changes in Colorectal Deep Endometriosis: The Long-Term Impact of Age and Hormonal Treatment
Authors: Keckstein Simon , Dippon Juergen , Hudelist Gernot , Koninckx Philippe , Condous George , Schroeder Lennard , Keckstein Joerg 
Published: December 2023

Abstract
Purpose The progression of deep endometriosis (DE) in women of reproductive age is highly variable. This study aimed to analyze the sonomorphological changes of rectal endometriosis over long periods of time and the influence of hormonal treatment.
Methods This retrospective study included premenopausal women with rectal DE treated conservatively between 2002 and 2021. The lesion length and thickness of the nodule were evaluated at regular intervals over time. We created statistical models with mixed effects to identify potential factors influencing lesion progression and regression.
Results 38 patients were monitored over a mean period of 7.2 (± 4.2) years with a mean of 3.1 (± 2.1) check-ups within the observation period. We detected a significant increase in lesion length until the end of the fourth decade of life. In addition, we found a substantial decrease in the length and thickness of the nodule depending on the length of hormonal treatment.
Conclusion In conservatively managed patients with rectal endometriosis, without hormonal therapy, lesion size can exhibit a moderate increase up to the end of the fourth decade of life, after which it appears to stabilize. This increase does not follow a linear pattern. Hormonal therapy is crucial in impeding further progression, resulting in either a cessation or a regression of lesion growth.
Serum Lipid Level in Evaluating Chinese Pancreatic Neuroendocrine
Neoplasms: A Retrospective Study
Authors: Gu Danyang , Xue Bingyan , Zhu Guoqin , Xu Yanling , Yan Lijun , Tang Qiyun , Lu Chun 
Published: December 2023

Abstract
Background Pancreatic neuroendocrine neoplasms (p-NENs) are relatively
rare and highly heterogeneous. Dyslipidemia may be related to the risk of
developing p-NENs, although dyslipidemia in patients with p-NENs is rarely
reported. In this study, the clinical characteristics of p-NENs patients with
different lipid levels and their prognostic value in p-NENs patients were
evaluated.
Methods Patients (n=211) with p-NENs hospitalized at Jiangsu
Neuroendocrine Tumor Centre of Jiangsu Province Hospital from December 2018 to
December 2022 were enrolled. Clinical data related to p-NENs were collected.
Based on the EGA database, the related lipoprotein, low-density lipoprotein
receptor (LDLR) and high-density lipoprotein binding protein (HDLBP) mRNA in
p-NENs and paratumoral tissues and the follow-up information of p-NENs were
evaluated.
Results A total of 175 p-NENs patients ultimately met the inclusion
criteria. The ki67 index was higher in p-NENs patients with elevated lipid with
the proportion of≥5, and in those with AJCC stage III and stage IV than
p-NENs patients with low-level lipid. In p-NENs patients, the expression of
HDLBP mRNA was downregulated in p-NENs tissues compared to the paratumoral
tissues. Survival analysis showed that serum lipids had no effect on the
prognosis of p-NENs; however, high LDLR level p-NENs were at the risk of poor
survival.
Conclusion Serum lipid level in p-NENs can affect the grading and staging,
but the correlation with the prognosis of p-NENs is not significant. However,
dyslipidemia may be a potential predictor of p-NENs.
Discovery of a Cannabinoid CB2 Receptor Fluorescent Probe Based on a Pyridin-2-yl-benzyl-imidazolidine-2,4-dione Scaffold
Authors: de Paus Laura V. , van der Stelt Mario , Janssen Antonius P.A. , Halimi Asad , van den Berg Richard J. B. H. N. , Heitman Laura H. 
Published: December 2023

AbstractCannabinoid receptor type 2 (CB2R) agonists have therapeutic potential for the treatment of (neuro)inflammatory diseases. Fluorescent probes enable the detection of CB2R in relevant cell types and serve as a chemical tool in cellular target engagement studies. Here, we report the structure-based design and synthesis of a new CB2R selective fluorescent probe. Based on the cryo-EM structure of LEI-102 in complex with the CB2R, we synthesized 5-fluoropyridin-2-yl-benzyl-imidazolidine-2,4-dione analogues in which we introduced a variety of linkers and fluorophores. Molecular pharmacological characterization showed that compound 22, containing a Cy5-fluorophore with an alkyl-spacer, was the most potent probe with a pK
i of 6.2 ± 0.6. It was selective over the cannabinoid CB1 receptor and behaved as an inverse agonist (pEC50 5.3 ± 0.1, E
max –63% ± 6). Probe 22 may serve as a chemical tool in target and lead validation studies for the CB2R.
Evaluating Catalyst Performance in Synthesizing Hydroxyl-Terminated Polybutadiene by Ring-Opening-Metathesis Polymerization
Authors: Schulz Michael D. , Su Gillian A. , Reiter Paul 
Published: December 2023

AbstractHydroxyl-terminated polybutadiene (HTPB) can be synthesized by ring-opening metathesis polymerization (ROMP) in a one-step process using cyclooctadiene in the presence of a hydroxyl-functionalized chain-transfer agent (CTA). However, previous studies have shown that the presence of primary alcohols can lead to the degradation of some ruthenium catalysts and that the hydroxyl end groups may be converted into aldehydes. Here we compare the performance of five ruthenium-based catalysts — Grubbs first-, second-, and third-generation catalysts (G1, G2, and G3, respectively), Hoveyda–Grubbs Z-selective catalyst (HGZ), and Hoveyda–Grubbs second-generation catalyst (HG2) — in ROMP with a CTA containing primary alcohols. We found that HTPB can be rapidly synthesized in a single step using G3 while avoiding end-group isomerization (2.2% aldehyde formation after full conversion is reached in 5 min). This result suggests that G3 may enable a more effective approach to synthesizing HTPB that avoids protecting groups but still maintains high end-group fidelity.
Cancer Predisposition Syndromes in Neuro-oncology
Authors: Na Brian , Shah Shilp , Nghiemphu Phioanh Leia 
Published: December 2023

AbstractAlthough most primary central and peripheral nervous system (NS) tumors occur sporadically, there are a subset that may arise in the context of a cancer predisposition syndrome. These syndromes occur due to a pathogenic mutation in a gene that normally functions as a tumor suppressor. With increased understanding of the molecular pathogenesis of these tumors, more people have been identified with a cancer predisposition syndrome. Identification is crucial, as this informs surveillance, diagnosis, and treatment options. Moreover, relatives can also be identified through genetic testing. Although there are many cancer predisposition syndromes that increase the risk of NS tumors, in this review, we focus on three of the most common cancer predisposition syndromes, neurofibromatosis type 1, neurofibromatosis type 2, and tuberous sclerosis complex type 1 and type 2, emphasizing the clinical manifestations, surveillance guidelines, and treatment options.
The politics of the EU eco-social policies
Authors: Graziano Paolo 
Published: December 2023

AbstractIn recent years, the debate over the need to address ecological and social concerns has grown substantially. Phenomena such as the Gilets Jaunes in France or the ecological versus social disputes in industrial sites (such as, for example, the ILVA steel plant in Taranto) have constituted a trade-off in terms of potentially conflicting policies, making the understanding of the various underlying preferences very important. Furthermore, growing environmental concerns have challenged more traditional views anchored on the predominance of social and employment concerns. The article, in line with the research questions raised in the introduction of the Symposium, intends to contribute to the above-mentioned debate addressing the following questions: did the European Union take an ‘eco-social’ path? If so, how and why? The article illustrates the growing intertwining of social and environmental policies at the EU level and tries to explain its genesis by focusing on the role of the various actors involved. The main argument is that the European Commission, and in particular the President of the Commission, developed an eco-social agenda in order to obtain further institutional (i.e. internal) and socio-political (i.e. external) legitimation.
Policy integration and the eco-social debate in political analysis
Authors: Domorenok Ekaterina , Trein Philipp 
Published: December 2023

AbstractIn political research, scholars have increasingly paid attention to the political challenges of integrating new public policies into existing policy subsystems, which bears important implications for the study of eco-social policy and politics. By drawing on policy integration research, we identify and discuss insights and lessons deriving from policy integration scholarship, which appear to be relevant for understanding policy linkages between the social and environmental domains especially regarding the European Green Deal (EGD). More specifically, we focus on the following two aspects: (1) the elements of policy design and implementation practices that are deemed to be helpful for ensuring equilibrium between social and environmental goals and (2) political factors that are likely to affect policy integration dynamics along the social and environmental aspects (eco-social nexus). This article contributes to the literature by tracing novel research trajectories for the eco-social debate to explore in the policy integration perspective.
Demographic and labor force impacts of future immigration flows into Europe: does an immigrant’s region of origin matter?
Authors: Marois Guillaume , Potancokova Michaela , Gonzalez-Leonardo Miguel 
Published: December 2023

AbstractImmigration has become a key demographic component in developed European nations. At the same time, many countries have seen an increase in immigration from non-European origins and more diversified migrant flows. In most population projections, however, immigrants are considered an almost homogenous population. This study utilizes a population microsimulation projection model (QuantMig-Mic) for 31 European countries that includes place of birth as a source of heterogeneity for components that could impact population size, age structures, and economic dependency ratios. We simulated different scenarios from 2020 to 2060 in which the birth regions of future immigrant flows were changed drastically compared to recent trends. Our results showed that major shifts in the origin of immigration flows toward Europe would impact the spatial distribution of the population in the continent and therefore—at the local level—the population size of some countries. We found that the age structure would be only marginally affected and that shifts in the composition of immigration flows would not significantly alter the increasing age dependency ratio. Moreover, even in the countries most impacted in terms of population size, no scenario led to notable changes in the total labor force participation rate or in the educational structure of the labor force.
Investigating customers’ continuous trust towards mobile banking apps
Authors: Che Maohao , Say Sze Yee Ashley , Yu Han , Zhou Qingji , Shu Jared , Sun Wen , Luo Xi , Xu Hong 
Published: December 2023

AbstractGaining continuous trust from mobile banking customers is a critical step in retaining customers for their usage of the provided services. The current study aims to investigate how customers’ continuous trust is formed at the continuous-use stage. Online survey responses from 450 frequent mobile banking users are collected. The data were analysed using structural equation modelling (SEM) based on a proposed model that predicts trust. The findings successfully validated the model and its reduced form. Based on the model, customers’ continuous trust can be predicted by mobile banking apps’ perceived ease of use, privacy assurance and security features, organisation reputation, customer support, and customers’ previous experience. Furthermore, the interactive relationships among these proposed factors are proposed and validated in the model. By studying trust in mobile banking past the initial adoption stage, we provide evidence to support the theoretical framework of investigating mobile banking continuous trust from the three constructs—mobile app (perceived ease of use, privacy assurance, security features), organisation (reputation, customer support), and customer (prior experience).
A planar cloverleaf antenna for circularly polarized microwave fields in atomic and molecular physics experiments
Authors: Yuan Weijun , Zhang Siwei , Bigagli Niccolò , Warner Claire , Stevenson Ian , Will Sebastian 
Published: December 2023

We report on the design and characterization of a compact microwave antenna for atomic and molecular physics experiments. The antenna is comprised of four loop antennas arranged in a cloverleaf shape, allowing for precise adjustment of polarization by tuning the relative phase of the loops. We optimize the antenna for left-circularly polarized microwaves at 3.5 GHz and characterize its near-field performance using ultracold NaCs molecules as a precise quantum sensor. Observing an unusually high Rabi frequency of 2π × 46.1(2) MHz, we extract an electric field amplitude of 33(2) V/cm at 22 mm distance from the antenna. The polarization ellipticity is 2.3(4)°, corresponding to a 24 dB suppression of right-circular polarization. The cloverleaf antenna is planar and provides large optical access, making it highly suitable for quantum control of atoms and molecules and potentially other quantum systems that operate in the microwave regime.
Adsorption thermodynamics and kinetics of nanomaterials: theory and experimental insight into nano-effect
Authors: Wang Mengying , Xue Yongqiang , Du Jianping 
Published: December 2023

Nanomaterials have excellent adsorption performance due to nano-effect and have been widely used in many fields. The adsorption performance of nanomaterials depends on their adsorption thermodynamics and kinetics. Here, the thermodynamic and kinetic equations of adsorption for spherical nanoparticles are first derived in theory. The mechanisms and regularities of influences of nano-effect on thermodynamics and kinetics, using nano-CdS adsorption of methylene blue as a probe, were investigated. The results show that there are significant influences of nano-effect (i.e., interface area effect and interface tension effect) on the thermodynamics and kinetics of nanoparticle adsorption. When the particle radius is larger and beyond the nanometer scale (∼100 nm), the nano-effect can be neglected. When the radius of the nanoparticle is within 10–50 nm, the nano-effect of adsorption is mainly the interface area effect. When the radius is less than 10 nm, the influences of both the interface area effect and the interface tension effect on adsorption thermodynamics and kinetics become more significant. The theoretic equations and experimental insights in the present work could provide a significant basis and reference for improving and perfecting the adsorption theory involving nanomaterials and provide guidelines for the explanations of adsorption mechanisms as well as the selection of adsorbents.
Two- and three-body attachment, electron transport and ionisation in water-air mixtures
Authors: de Urquijo J , González-Magaña O , Basurto E , Juárez A M 
Published: December 2023

Abstract
Three-body electron attachment in the mixtures of H2O and dry air have been measured over a wide range of the density-reduced electric field, E/N, from 3–130 Td and gas pressures, for mixture combinations ranging from 1% to 50% of H2O. We have measured the regions of three-body attachment (3–30 Td) and two-body dissociative attachment (40–130 Td). Besides, the increasing amount of H2O in the mixture causes an increase in the three-body reaction rates of up to two orders of magnitude in comparison with that measured for dry air. On the other hand, the three-body attachment coefficients exceed the two-body ones (dissociative attachment) at high pressures. Good agreement has been found with previous measurements of H2O-dry air mixtures with H2O concentrations of up to 2%. We know of no previous work for higher H2O concentrations. Values of the effective ionisation coefficients and longitudinal diffusion coefficients derived from the same measurements are also presented.