bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of deformable and adhesive biocompatible polymer hydrogels by a simple one-pot method using ADIP as a cationic radical initiator
Authors: Masuda Tsukuru , Saegusa Yui , Tsuji Toshikazu , Takai Madoka 
Published: February 2025

Abstract
In this study, a highly viscoelastic, deformable, and adhesive hydrogel was synthesized by crosslinking a 2-methacryloyloxyethyl phosphorylcholine (MPC) polymer hydrogel with a chemical crosslinker [N,N′-methylenebisacrylamide (MB)] using a cationic initiator, 2,2′-azobis-[2-(1,3-dimethyl-4,5-dihydro-1H-imidazol-3-ium-2-yl)]propane triflate (ADIP). The adhesive PMPC gel was tolerant to peeling during adhesion, and the adhesion energy of the hydrogel increased as the contact time with the adhesion target increased. Furthermore, the mechanism underlying the synthesis of deformable and adhesive hydrogels was determined by analyzing the polymerization behavior. The polymer synthesized with ADIP had a lower molecular weight than that synthesized with a conventional redox-type initiator, ammonium persulfate/N,N,N′,N′-tetramethylethylenediamine. Moreover, an analysis of the reactivity of various monomers and crosslinkers indicated low reactivity of the acrylamide-type crosslinker MB to methacrylate-type monomers; on this basis, the appropriate combination of monomers and crosslinkers for generating the target hydrogel was determined. The cytocompatibility of the prepared PMPC hydrogel was also confirmed. Thus, this study provides guidelines for the rational design of highly deformable, adhesive hydrogels with cytocompatibility.
Burden of illness among patients with asthma prescribed inhaled corticosteroids/long-acting β2-agonists
Authors: Zhang Shiyuan , Czira Alexandrosz , Harley Julia , Rothnie Kieran J. , Lee Lauren , Small Mark 
Published: February 2025

Abstract
Inhaled corticosteroids (ICS) plus long-acting β2-agonists (LABA) are recommended for maintenance-only or maintenance and reliever therapy (MART) in patients with asthma. However, real-world data on ICS/LABA as maintenance-only or MART are limited. This study characterized clinical, economic, and humanistic burdens of asthma in Canada, China, Europe, Japan, and the US, using data collected from patients and physicians via a cross-sectional survey (Asthma Disease Specific Programme). Patients were ≥18 years of age with physician-confirmed asthma and receiving fixed-dose ICS/LABA for ≥3 months. Mean physician-reported symptom-free days over the past 30 days ranged from 10.1–20.6 days, and 31.5–34.6% of ICS/LABA users self-reported not well-controlled asthma. SABA co-prescription was reported in 8.8–67.8% of patients. These findings highlight the continued disease burden among ICS/LABA users, with the high level of SABA co-prescription indicating potentially inappropriate prescribing of ICS/LABA as MART or detrimental reliance on SABA medication in addition to MART.
Improved sand cat swarm optimization algorithm assisted GraphSAGE-GRU for remaining useful life of engine
Authors: Yuan Yongliang , Li Ruifang , Wang Guohu , Lv Xiaojing 
Published: February 2025

Abstract
With the development of deep learning, the potential for its use in remaining useful life (RUL) has substantially increased in recent years due to the powerful data processing capabilities. However, the relationships and interdependencies of operation parameters in non-Euclidean space are ignored utilizing the current deep learning-based methods during the degradation process for engine. To address this challenge, an improved sand cat swarm optimization-assisted Graph SAmple and aggregate and gate recurrent unit (ISCSO-GraphSage-GRU) is proposed to achieve RUL prediction in this work. Firstly, the maximum information coefficient (MIC) is utilized for describing the interdependent relations of measured parameters. Building on this foundation, the constructed graph data is used as input to GraphSage-GRU so as to overcoming the shortcomings of existing deep learning methods. Additionally, this work proposed an improved sand cat swarm optimization (ISCSO) to improve the predicted performance of GraphSage-GRU, including tent mapping in population initialization and a novel adaptive approach enhance the exploration and exploitation of sand cat swarm optimization. The CMAPSS dataset is used to validate the effectiveness and advancedness of ISCSO-GraphSage-GRU, and the experimental results show that the R
2 of the ISCSO-GraphSage-GRU is greater than 0.99, RMSE is less than 6.
Vorschläge für eine sinnvolle ICD-10-Kodierung der Osteoporose und der Begleiterkrankungen unter Berücksichtigung der DVO-Leitlinie 2023
Authors: Dahmen Georg P. 
Published: February 2025

ZusammenfassungSeit 1593 wird versucht, eine Klassifikation von Erkrankungen zu entwickeln. Es werden komplexe Krankheiten wie die Osteoporose unter sehr verschiedenen und zum Teil nicht eindeutigen Aspekten katalogisiert. Die aktuell gültige ICD-10-GM 2024 macht es nicht einfach, alle Gesichtspunkte der Osteoporose eineindeutig, das heißt, rückverfolgbar, zu kodieren. Nachfolgend werden Empfehlungen für die Kodierung der Osteoporose sowie der Begleiterkrankungen und Risikofaktoren sowie der Indikatoren für einen Therapiewechsel nach der aktuellen ICD-10 aufgeführt.
Waldtherapie zur Behandlung chronischer muskuloskelettaler
Schmerzen
Authors: Schubert Anika , Röhrig-Herzog Gabriele 
Published: February 2025

ZusammenfassungDie Pilotstudie im Rahmen einer Masterarbeit untersuchte die Wirksamkeit einer
4-stündigen Waldtherapie auf die Schmerzwahrnehmung bei Patient*innen mit
chronischen muskuloskelettalen Schmerzen. Die Ergebnisse zeigen signifikante
Verbesserungen bei der Schmerzstärke sowie bei psychischen Parametern wie
Depression, Angst und Stress.
Pulse-tube cryostat for in situ high-pressure experiments
Authors: Li Junlong , Wang Hao , Li Mei , Xu Yixuan , Jiang Jiayue , Zhao Tingting , Li Xiaodong , Li Yanchun , Lin Chuanlong 
Published: February 2025

The pulse-tube cooler that works based on the thermoacoustic effect offers several advantages such as high stability with a long operating time, portability with small size and weight, and low vibration. Taking advantage of these benefits, we present a high-pressure cryostat designed based on the pulse-tube cooler. The pulse-tube cryostat is compatible with standard diamond anvil cell (DAC), integrated with the gas membrane for remote pressure control. It can quickly cool the sample in a DAC below 100 K and be used portably for various in situ high-pressure characterization, including optical spectroscopy in the laboratory and x-ray scattering in synchrotron light sources. Compared with liquid cryogen flow cryostats, it exhibits high stability and can work for long times (several days) without consuming liquid nitrogen or helium. By using this device, we have studied the effect of high pressure and low temperature on the fluorescent behavior of ruby in DAC with silicone oil as a pressure-transmitting medium. The results demonstrate that the pulse-tube cryostat provides an alternative cooling method and may find more applications in the high-pressure DAC field due to its compactness and portability.
“The rock of stability?”
Authors: Bonnet Alma-Pierre 
Published: February 2025

Abstract
Within the fields of narratology and discourse analysis, this paper proposes a critical narrative analysis of Sir
Keir Starmer’s storytelling at the four party conferences he attended as opposition leader. The objective is to assess how Starmer
attempted to create the image of a strong and stable leader, in discourse, in a bid, arguably, to differentiate himself from his
predecessor, to rebrand his party as an inclusive organisation and to establish his ethos as a credible leader. Maybe more
importantly, this paper posits that the narratives at the heart of his keynote speeches served a self-promotional purpose to show
that, by focusing on the notion of stability, he could bring to a close a fourteen-year period of electoral and ideological
domination by the Conservative Party.
DNA barcodes narrow down the possible sources of introductions of an invasive banana skipper,
Erionota torus
Evans (Lepidoptera, Hesperiidae)
Authors: Cock Matthew J.W. , Buddie Alan G. , Cafa Giovanni , Chiba Hideyuki , Girish Kizhakke Athulya , Yu-Feng Hsu , Kunte Krushnamegh 
Published: February 2025

Abstract

The banana skipper,
Erionota torus
Evans (Lepidoptera, Hesperiidae, Hesperiinae, Erionotini) is a South-east Asian pest of banana that, in the last 60 years, has spread to the southern Philippines, Taiwan, Japan, India, Sri Lanka, Mauritius and La Réunion, and potentially threatens Africa and Tropical America. A partial library of DNA barcodes from the indigenous and introduced ranges was built. Based on our analysis, the indigenous populations can be divided into an ‘East’ group, in China and Vietnam, and a ‘West’ group in India, Nepal, Myanmar and west Malaysia. Further, within the ‘West’ group, there is a coherent ‘Malaysia’ subgroup from west Malaysia. Introduced populations in south India, La Réunion and Taiwan showed almost no variation in barcodes, suggesting they are each based on a single homogenous introduction. We conclude that the introduced populations in Taiwan and Japan match the ‘East’ group, the introduced populations in Mauritius and La Réunion match the ‘Malaysia’ subgroup and the introduced population in south India matches the ‘West’ group. These results are discussed in the context of existing ideas regarding the source of each introduction, and the implications in terms of pathways of entry.
Unique Carrollian manifolds emerging from Einstein spacetimes
Authors: Blitz Samuel , McNutt David , Nurowski Paweł 
Published: February 2025

Abstract
&#xD;We explicitly determine all shear-free null hypersurfaces embedded in an Einstein spacetime, including vacuum asymptotically flat spacetimes. We characterize these hypersurfaces as oriented 3-dimensional manifolds where each is equipped with a coframe basis, a structure group and a connection. Such manifolds are known as null hypersurface structures (NHSs). The coframe and connection one-forms for an NHS appear as solutions to the projection of the Cartan structure equations onto the null hypersurface. We then show that each NHS corresponds to a Carrollian structure equipped with a unique pair of Ehresmann connection and affine connection.
Washable, transparent and self-sustained sensor based on transparent stretchable electrodes
Authors: Wang Yan , Zhang Haonan , Jin Shichao , Wang Mingyong , Zhang Xiao-Sheng 
Published: February 2025

Abstract
With the continuous advancement of technology, flexible electronic devices are gradually becoming integrated into our daily lives. These devices exhibit remarkable properties such as flexibility, bending capability, and resilience in harsh environments. One particular challenge in the development of these devices is achieving a balance between transparency and conductivity for flexible transparent stretchable electrodes. In this article, we use thermoplastic polyurethane (TPU), silver nanowires (AgNW), and polydimethylsiloxane (PDMS) to fabricate a stretchable, transparent and self-sustained multifunctional sensor, which retains its functionality even after being washed in water for 16 minutes with stirring speed of 100 r/min. The TPU/AgNW electrode has a high transparency (85.26 %) and conductivity (7.04 Ω/sq) with third spin-coating process. When it stretch up to 80%, it also sustain excellent conductivity (6.4 kΩ). The flexible self-powered pressure sensor has high transparency, and it maintains excellent sensing performance of high pressure sensitivity (0.01499 V/kPa) and has fast response time (20 ms), demonstrating excellent pressure sensing characteristics. The sensing performance decreases by only 24% when the deformation reaches 100%.&#xD;
Mechanical fault diagnosis method based on binary neural network with adaptive depth-to-width ratio
Authors: Liu Chenyu , Li Zhinong , Wang Fengtao , Li Zhe , Yang Wenxian 
Published: February 2025

Abstract
Deep neural network (DNN) has powerful feature extraction and classification abilities and is extensively used in mechanical fault diagnosis. However, in the DNN-based fault diagnosis method, too many model parameters, high computational complexity, and occupying a large amount of storage space make it very difficult to optimize and retrain the DNN model. To overcome this deficiency, a binary neural network (BNN) is introduced into fault diagnosis. In the proposed BNN-based fault diagnosis method, the floating-point weights and activations are binarized as ‘+1’ and ‘-1’ to save storage space, and the floating-point multiply-accumulate operations are replaced by bitwise operations to reduce the computational complexity. The BNN-based fault diagnosis method effectively compresses the structure of DNNs and accelerates model inference. However, the binarization operation may bring about the quantization error and gradient error, which will accumulate with the increase of the network depth, and lead to a degradation in model performance. To solve these deficiencies in the proposed BNN-based fault diagnosis method, an improved BNN fault diagnosis method based on adaptive depth-to-width ratio (ADTWR) is proposed. For the convenience in description, the proposed method is called the BNN-ADTWR method. In the proposed BNN-ADTWR method, the network structure is reshaped by the comparison of the gains brought by the depth and width of the backbone network, and the backbone network is further optimized by the pruning technique. To evaluate the effectiveness of the proposed method, the comparative experiments, such as ablation, anti-noise, and computational complexity, had successfully completed on several rolling bearing datasets. The experiment results show that the proposed BNN-ADTWR method significantly reduces computational complexity and helps with rapid fault diagnosis. The constructed ADTWR backbone network decreases activations in the traditional backbone network and improves absolute accuracy while the computational cost is equivalent.
Design of an integrated ultrasonic guided wave structural health monitoring system based on multi-channel high-speed synchronous acquisition
Authors: Li Zehua , Xue Wendong , Yang Zhenhai , Huang Xin , Qing Xinlin , Wang Yishou 
Published: February 2025

Abstract
Structural health monitoring (SHM) technology based on ultrasonic guided wave (UGW) has been widely researched and applied. The SHM instrument development has become a current research hotspot. Existing UGW SHM systems typically use the single-actuation-single-reception (SASR) mode and require an external computer for data processing and analysis. This results in a large system size and low scanning efficiency, making it difficult to meet the requirements for airborne applications. In response to the SHM requirements for airborne applications, this paper designs an architecture with FPGA for synchronous high-speed acquisition and an ARM embedded system for asynchronous analysis and processing. A core control module for real-time UGW acquisition was developed, featuring 4-channel 14-bit 100 MSPS high-speed synchronous sampling. At the FPGA level, a high-throughput FIFO (First In, First Out) data buffer was designed, achieving average read and write speeds of 330 MByte/s and 1.6 GByte/s, respectively. Data is asynchronously transferred to the ARM embedded system via the PCIe bus for analysis and processing, thereby implementing functions with a low-power CPU. The acquisition control module uses the single-actuation-multiple-simultaneous-reception (SASMR) mode, which improves scanning efficiency by up to 4 times compared to the SASR mode used in traditional monitoring systems. While improving system integration and reducing weight, the system's power consumption is also reduced, achieving a standby power consumption of less than 20 W. Experiments based on the core control module developed in this paper involved constructing an UGW SHM integrated system with 64 piezoelectric sensor channels. System performance tests and damage localization experiments on composite materials were conducted, achieving an error within 2 cm.
Application of variational Bayesian-based cubature information filter for UWB/INS tightly coupled positioning system
Authors: Wang Sen , Dai Peipei , Xu Tianhe , Nie Wenfeng , Cong Yangzi , Gao Fan , Xing Jianping 
Published: February 2025

Abstract
Accurate and reliable positioning is a crucial foundation for achieving sufficient autonomy and intelligence in positioning systems. The ultra-wideband (UWB) technology has significant potential for applications in the challenging and complex field of indoor positioning, and is often integrated with the inertial navigation system (INS) to enhance the overall performance of integrated positioning system. This paper proposes a novel variational Bayesian-based cubature information filter that enhances the positioning accuracy of tightly coupled UWB/INS navigation system. This approach aims to provide continuous and reliable navigation and positioning across various scenarios. The proposed integrated system applies the non-holonomic constraint to positioning in the elevation direction, thereby enhancing the system’s overall positioning accuracy and performance. Real-world experimental results demonstrate that the proposed system delivers continuous, accurate, and stable positioning. In UWB line-of-sight scenario, the proposed system achieves root mean square errors of 0.085 m, 0.091 m, and 0.125 m in the east, north, and horizontal directions, respectively; the corresponding errors in non-line-of-sight scenario are 0.286 m, 0.237 m, and 0.372 m. Furthermore, when integrated with a scheme for mitigating non-line-of-sight errors, the proposed system demonstrates a significant enhancement in positioning accuracy. In conclusion, the experimental results effectively validate the proposed system’s effectiveness in achieving accurate and continuous positioning across various environments, demonstrating its application potential in complex scenarios.&#xD;
Investigating the layered structure of HfNBr and HfNCl0.5Br0.5: A DFT+U approach to optoelectronic and thermoelectric application
Authors: Shirvani Fatemeh , Jafari Mohammad Reza , Shokri Aliasghar 
Published: February 2025

Abstract
Layered materials have attracted considerable attention due to their distinctive properties. In this study, the optoelectronic and thermoelectric characteristics of HfNBr and its alloy with Cl, where Br atoms are partially replaced, were investigated using density functional theory (DFT), while incorporating the Hubbard correction (U) in the calculations. The structural and dynamic stability of these compounds was confirmed through cohesive energy and phonon results analysis. The electronic density of states (DOS) revealed semiconducting band gaps of 2.275 eV (using the GGA method) and 2.744 eV (with GGA+U) for HfNBr, while for the alloy HfNCl0.5Br0.5, the band gaps were calculated as 2.31 eV (GGA) and 2.781 eV (GGA+U). The highest optical conductivity was observed for pure HfNBr, reaching 6.519 × 1015 s−1 at a photon energy of 5.03 eV along the x-direction, as calculated with GGA+U. For the alloy compound, the maximum optical conductivity was also along the x-direction, with a value of 5.549 × 1015 s−1 at the same photon energy (5.03 eV), using the GGA+U method. Additionally, the peak absorption coefficient for HfNBr was found to be 3.348 × 108 m−1 at a photon energy of 4.91 eV using the GGA method. For the alloy, the maximum absorption coefficient, obtained using GGA+U, was 1.104 × 108 m−1 at a photon energy of 5.61 eV. At temperature of 300 K, corresponding to room temperature, the maximum of thermoelectric power factors per relaxation time for HfNBr and HfNCl0.5Br0.5 were 60.82 × 1016
μW.m−1.K−2.s−1 at a chemical potential of −1.37 eV (GGA) and 58.38 × 1016
μW.m−1.K−2.s−1 at −1.56 eV (GGA+U), respectively. These findings provide valuable insights into the potential applications of these materials in optoelectronic and thermoelectric devices.
Asymmetric warm dark matter: from cosmological asymmetry to chirality of life
Authors: Yin Wen , Nakagawa Shota , Murokoshi Tamaki , Hattori Makoto 
Published: February 2025

Abstract
We investigate a novel scenario involving asymmetric keV-range dark matter (DM) in the form of right-handed (sterile) neutrinos. Based on the Fermi-Dirac distribution, we demonstrate that asymmetric fermionic DM forms a Fermi degenerate gas, making it potentially colder than symmetric fermionic DM. This setup simultaneously accounts for the Universe's baryon asymmetry through tiny Yukawa interactions with Standard Model leptons and the Higgs field, and the homochirality of amino acids via decay into circularly polarized photons. This scenario can be investigated through soft X-ray searches conducted by current and upcoming space missions.
The helical X-rays is a smoking-gun signal of our scenario. Additionally, we propose a new mechanism to suppress thermalization by introducing a light modulus, which may also benefit cosmology involving generic right-handed neutrinos with large mixing.
Influence of cooling atmosphere on the structure, magnetization, and dielectric properties of CaBaCo4O7
Authors: Gong Gaoshang , Wang Minghao , Liu Ruoshui , Wu Yang , Wang Lichen , Wang Yongqiang , Shen Baogen 
Published: February 2025

Abstract
CaBaCo4O7 has been widely studied because of its distinctive structure and magnetic properties. This study examined the influence of different cooling atmospheres on the structure, magnetic properties, and dielectric behavior of CaBaCo4O7. Samples were cooled under different atmospheric conditions to assess these influences. Our findings indicate that reduced oxygen content leads to increased lattice distortion. Since oxygen atoms play a crucial role in mediating magnetic exchange, oxygen deficiency disrupts long-range magnetic order and promotes short-range antiferromagnetic interactions. Additionally, the cooling atmosphere significantly impacts grain size, thereby affecting the dielectric constant and dielectric loss. In the argon-cooled CaBaCo4O7 (Ar) sample, oxygen deficiency reduced dielectric permittivity and increased dielectric loss.
A framework for discrete optimization of stellarator coils
Authors: Hammond Kenneth 
Published: February 2025

Abstract
Designing magnets for three-dimensional plasma confinement is a key task for advancing the stellarator as a fusion reactor concept. Stellarator magnets must produce an accurate field while leaving adequate room for other components and being reasonably simple to construct and assemble. In this paper, a framework for coil design and optimization is introduced that enables the attainment of sparse magnet solutions with arbitrary restrictions on where coils may be located. The solution space is formulated as a "wireframe" consisting of a mesh of interconnected wire segments enclosing the plasma. Two methods are developed for optimizing the current distribution on a wireframe: Regularized Constrained Least Squares (RCLS), which uses a linear least-squares approach to optimize the currents in each segment, and Greedy Stellarator Coil Optimization (GSCO), a fully discrete procedure in which loops of current are added to the mesh one by one to achieve the desired magnetic field on the plasma boundary. Examples are presented of solutions obtainable with each method, some of which achieve high field accuracy while obeying spatial constraints that permit easy assembly.