bluuebunny/crossref_metadata_2025_split huggingface dataset:
Demonstration of in-vivo simultaneous 3D imaging with 18F-FDG and Na131I using Compton–PET system
Authors: Kim Donghwan , Yan Linlin , Shimazoe Kenji , Takahashi Hiroyuki , Ogane Kenichiro , Yoshino Masao , Kamada Kei , Uenomachi Mizuki 
Published: September 2024

AbstractSimultaneous imaging of the SPECT tracer 131I and PET tracer 18F is important in the diagnosis of high- and low-grade thyroid cancers because high-grade thyroid cancers have high 18F-FDG and low 131I uptake, while low-grade thyroid cancers have high 131I and low 18F-FDG uptake. In this study, Na131I and 18F-FDG were simultaneously imaged using the Compton-PET system, in vivo. The angular resolution and sensitivity of the Compton camera with 356 keV gamma ray measured using a 133Ba point source were 12.3° and 2 × 10−5, respectively. The spatial resolution and sensitivity of PET were measured with a 22Na point source. The transaxial and axial spatial resolutions of the PET at the center of the FOV were 1.15 mm and 2.04 mm, respectively. Its sensitivity was 1.2 × 10−4. In-vivo images of the 18F and 131I isotopes were simultaneously acquired from mice. These showed that 18F-FDG was active in the heart, brown fat, and brain, while Na131I was active in the thyroid, stomach, and bladder. Artifacts were found in the Compton camera images when the activity of 131I was much lower than that of 18F. This study demonstrates the potential of simultaneous clinical imaging of 18F and 131I.
Earth observation data uncover green spaces’ role in mental health
Authors: Araújo Leonardo D. , Zanotta Daniel C. , Ray Nicolas , Veronez Maurício R. 
Published: September 2024

AbstractThe prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental stressors, particularly affecting low-middle-income countries with complex urban arrangements. We used remote sensing and census data to investigate potential connections between environmental factors and mental health disorders. Land cover variables were assessed using the European Space Agency (ESA) global WorldCover product at 10 m resolution together with the database of mental health diagnosed cases (n = 5769) from the Brazilian Unified Health System’s Department of Informatics (DATASUS) from every health facility of the city of Porto Alegre. The association of mental health data with land cover was established with machine learning algorithms and polynomial regression models. The results suggest that higher trees cover at neighborhood level was associated with better mental health index. A lower mental health index was also found to be associated with an higher Human Development Index. Our results highlight the potential of greenness in the city environment to achieve substantially better mental health outcomes.
Mesenchymal stem cell cryopreservation with cavitation-mediated trehalose treatment
Authors: Fuenteslópez Carla V. , Gray Michael , Bahcevanci Simge , Martin Alexander , Smith Cameron A. B. , Coussios Constantin , Cui Zhanfeng , Ye Hua , Patrulea Viorica 
Published: September 2024

AbstractDimethylsulfoxide (DMSO) has conventionally been used for cell cryopreservation both in research and in clinical applications, but has long-term cytotoxic effects. Trehalose, a natural disaccharide, has been proposed as a non-toxic cryoprotectant. However, the lack of specific cell membrane transporter receptors inhibits transmembrane transport and severely limits its cryoprotective capability. This research presents a method to successfully deliver trehalose into mesenchymal stem cells (MSCs) using ultrasound in the presence of microbubbles. The optimised trehalose concentration was shown to be able to not only preserve membrane integrity and cell viability but also the multipotency of MSCs, which are essential for stem cell therapy. Confocal imaging revealed that rhodamine-labelled trehalose was transported into cells rather than simply attached to the membrane. Additionally, the membranes were successfully preserved in lyophilised cells. This study demonstrates that ultrasonication with microbubbles facilitated trehalose delivery, offering promising cryoprotective capability without the cytotoxicity associated with DMSO-based methods.
Low‐complexity algorithms for generating frequency hopping sequences with good aperiodic hamming correlation property
Authors: Yang Shifu , Xu Zhe , Jiang Kaichuang , Liu Xing 
Published: September 2024

AbstractIn this letter, novel methods for quickly generating frequency hopping (FH) sequences with good out‐of‐phase peak aperiodic Hamming auto‐correlation (PAHAC) property are proposed. Compared with brute‐force search algorithm, the proposed algorithms have an obvious advantage on their time complexity. Results show that the algorithms can generate FH sequences with optimal/quasi‐optimal PAHAC performance in all tested cases.
Sparse representation for massive MIMO satellite channel based on joint dictionary learning
Authors: Guan Qing yang , Wu Shuang 
Published: September 2024

AbstractA constrained joint dictionary learning (CJDL) algorithm for high‐precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed. Furthermore, taking into account the angular reciprocity of massive MIMO satellite systems, joint dictionary learning can establish a common support basis for both uplink and downlink. Previous deterministic dictionary has utilized deterministic basis, such as discrete Fourier transform (DFT) or orthogonal DFT (ODFT) basis, which tend to represent noise interference as part of channel characteristics. Furthermore, this deterministic dictionary is not able to adapt to dynamic communication environments. However, dictionary learning has shown the potential to significantly improve the accuracy of channel representation. Nevertheless, current research on training dictionary lacks analysis regarding constraints and boundary requirements, resulting in a suboptimal basis. To address this issue, conditional constraints associated with joint dictionary for channel representation are analysed. To screen for optimal basis, the joint dictionary is subject to constraints, including uplink and downlink constraints. Furthermore, the authors aim to quantify the maximum boundary of joint dictionary learning. Additionally, a joint dictionary updating method with singular value decomposition under constraint boundary conditions is proposed. Simulation results demonstrate that the proposed CJDL algorithm provides a more accurate and robust channel representation.
Small signal analysis of DC voltage control based on a virtual resistance of DC/DC converter integrated in a multiterminal DC grid
Authors: Shafique Ghazala , Boukhenfouf Johan , Gruson François , Samimi Shabab , Colas Frédéric , Guillaud Xavier 
Published: September 2024

AbstractThe future multi‐terminal direct‐current (MTDC) grid will require the interconnection of point‐to‐point high‐voltage (HV) DC links with different specifications such as DC voltage level, system grounding configuration and HVDC technology. To adapt these differences, it is obligatory for DC/DC converters to interconnect HVDC links. Additionally, they are capable of providing supplementary functionalities as they are highly controllable devices. In this article, a primary virtual resistance DC voltage controller associated with DC/DC converter is proposed for managing DC grid voltages of the interconnected HVDC grids, increasing the reliability of the system. The commonly known topology, Front‐to‐Front Modular Multilevel Converter (F2F‐MMC) is adopted for DC/DC converter. Time‐domain simulations are performed using EMTP software for validating the controller behaviour under power disturbances and large events of loss of one converter in a MMC‐based MTDC system. The converters are modelled using reduced order modelling (ROM) methodology. Apart from this, dynamic studies have been carried out using a linear state space model for small‐signal stability analysis of a HVDC system integrating DC/DC converter with a virtual resistance DC voltage controller. The results are examined through parametric sensitivity analysis.
Das visuelle System als Modell in der translationalen
Forschung
Authors: Sindi Mustafa , Oertel Frederike Cosima , Paul Friedemann , Meuth Sven G , Albrecht Philipp 
Published: September 2024

ZusammenfassungDas visuelle System bietet einzigartige Einblicke in die komplexen Mechanismen
neurologischer Erkrankungen und stellt daher ein zentrales Modell in der
translationalen Forschung dar. Die Netzhaut, als Teil des zentralen
Nervensystems, dient als präzises Fenster, das es ermöglicht, neurodegenerative
und neuroinflammatorische Prozesse zu untersuchen. Dieser Artikel beleuchtet die
Anwendung des visuellen Systems in der translationalen Erforschung
neurologischer Erkrankungen durch verschiedene experimentelle Modelle und
Analysemethoden. Besonderes Augenmerk liegt auf der Untersuchung entzündlicher
Modelle wie der Experimentellen Autoimmunen Enzephalomyelitis Optikusneuritis
(EAEON), nicht-entzündlichen degenerativen Modellen wie dem Optic Nerve Crush
und dem lichtinduzierten Photorezeptorverlust sowie demyelinisierenden Modellen
wie dem Cuprizone-Modell sowie neurodegenerative Erkrankungen wie Demenz vom
Alzheimer-Typ und idiopathisches Parkinson-Syndrom. Der Artikel stellt zudem
diagnostische und funktionelle Evaluierungsmethoden wie die Optische
Kohärenztomographie (OCT), konfokale Scanning Laser Ophthalmoskopie (cSLO),
optomotorische Reaktions-Messung (OMR) und die Messung Visuell Evozierter
Potentiale (VEP) vor. Abschließend werden ein kurzer Ausblick gegeben und die
Limitationen, insbesondere bezüglich der Übertragbarkeit der Ergebnisse zwischen
Tiermodellen und dem Menschen, erläutert.
Moderne Methoden und Anwendungsgebiete der retinalen
Bildgebung
Authors: Wauschkuhn Josephine , Feucht Nikolaus , Aly Lilian 
Published: September 2024

ZusammenfassungBildgebung spielt in der Neurologie eine große Rolle, dies gilt inzwischen auch
zunehmend für den Bereich der Retina. Langjährig etablierte Methoden wie die
Fluoreszenzangiographie und die Funduskopie wurden in den letzten Jahren ergänzt
um die optische Kohärenztomographie (OCT) und OCT-Angiographie, sowie die
dynamische Gefäßanalyse. Nach initial primär wissenschaftlicher Anwendung können
diese modernen Methoden retinaler Bildgebung nun auch für diagnostische und
prognostische Fragestellungen gewinnbringend herangezogen werden und werden
kontinuierlich weiterentwickelt. Anhand exemplarischer Erkrankungen werden
typische Befunde der Bildgebungsmethoden beschrieben.
Low dark current Sb-based short-wavelength infrared photodetector
Authors: Li Mingming , Cheng Yifan , Zhang Xiangyu , Zhang Ye , Jiang Dongwei , Song Zhigang , Zheng Wanhua 
Published: September 2024

We have theoretically and experimentally demonstrated the feasibility of achieving ultra-low dark current in CpBnn type detectors based on a double-barrier InAs/GaSb/AlSb type-II superlattice. By employing a structure that separates the absorption region and depletion region, the diffusion, recombination, tunneling, and surface dark currents of the photodetector (PD) have been suppressed. Experimental validation has shown that a detector with a diameter of 500 µm at a bias voltage of −0.5 V exhibits a dark current density of 2.5 × 10−6 A/cm2 at the operating temperature of 300 K. The development of PD with low dark current has paved the way for applications with high demands for low noise in the fields of gravitational wave detection and astronomical observation.
Prediction of the apparent ileal digestible amino acid contents of canola meal for broilers from crude protein content
Authors: Li X. , Sun Y. M. , Zhang D. , Huang K. H. , Ravindran V. , Bryden W. L. 
Published: September 2024

Context Canola meal is a protein-rich feedstuff with an amino acid profile that is reasonably well balanced and has the potential to replace soybean meal in poultry diets. Aim The objective of the present study was to investigate the relationship between the crude protein content and apparent ileal digestible amino acid contents of Australian canola meals. Methods Thirteen canola meal samples, processed by expeller or solvent extractions, were collected. The digestibility assay diets were based on dextrose and contained canola meal as the sole source of protein. The proportions of dextrose and canola meal were varied in each diet to obtain ~200 g/kg crude protein. Each diet was fed to three cages of six 35-day-old broilers for 7 days. At the end of the assay, digesta from the terminal ileum was collected for digestibility determination. Key results Crude protein contents were positively correlated with amino acid contents (P < 0.05 to 0.001), except that of serine (r = 0.43; P = 0.11). Significant correlations between the crude protein content and ileal digestible contents were observed for most of amino acids, with coefficients of >0.80 (P < 0.05 to 0.001). Low correlation coefficients were observed for lysine (r = 0.48; P = 0.11) and serine (r = 0.55; P = 0.06). The poor correlation for lysine may be reflective of reduced lysine availability during processing. Conclusions The results showed that the crude protein content of canola meal could serve as a predictor of apparent ileal digestible content of most amino acids for broiler chickens. Implications Regression equations developed in the present study could be used to predict the content of ileal digestible amino acids in canola meal by using analysed crude protein contents.
Standards-based character recognition test
Authors: Hou Xiaoming 
Published: September 2024

Abstract
The present study developed and implemented a character recognition test based on the Chinese Proficiency Grading
Standards for International Chinese Language Education. Using a stratified systematic sampling approach, we selected 15 characters
from each level, ranging from levels 1 to 6, and 45 characters from the advanced level. This test was administered to 32 L2
Chinese learners from two universities. The results, on one hand, present an estimation of learners’ character size and revealed
variations at multiple levels, including school, course, and individual levels. On the other hand, they serve as a valuable link
between the Standards and teaching/learning practice, enabling a necessary reflection on the efficacy of the Standards,
particularly in terms of the character component.
Entropy production of the contact model
Authors: Tomé Tânia , de Oliveira Mário J 
Published: September 2024

Abstract
We propose an expression for the production of entropy for a system described by a stochastic dynamics which is appropriate for the case where the reverse transition rate vanishes but the forward transition is nonzero. The expression is positive definite and based on the inequality

x
ln
⁡
x
−
(
x
−
1
)
⩾
0

. The corresponding entropy flux is linear in the probability distribution allowing its calculation as an average. The expression is applied to the one-dimensional contact process at the stationary state. We found that the rate of entropy production per site is finite with a singularity at the critical point with diverging slope.
Confidence Prediction Based on Uncertain Knowledge Graph Structure Embedding
Authors: Li Tongxin , Li Xiaobo , Wang Fei , Wang Weiping , Wang Tao 
Published: September 2024

Abstract
The development of large-scale knowledge graphs (KGs) has given rise to uncertain relational facts, leading to research on uncertain knowledge graph (KG) embeddings. While various studies have been conducted on the task of uncertain KG embeddings, they often employ simplistic scoring functions based on the internal interaction information among triplets to fit confidence scores, neglecting the rich neighborhood information. In light of this, we propose a novel model UKGSE for uncertain KG embeddings that captures the subgraph structural features formed by the neighbors of triplets, aiming to predict confidence scores for triplets. To validate the effectiveness of our model, we conduct confidence prediction tasks on benchmark datasets. The experimental results indicate that the performance of our proposed model surpasses mainstream embedding methods.
Strong Single Frequency Jamming Detection Method based on Adaptive Equalization Coefficients
Authors: Qi Yanhui , Yan Xiaolu , Meng Weican , He Qingju , Xu Guangluan , Deng Xiao 
Published: September 2024

Abstract
Serious jamming effect on the communication signal maybe comes from the result of single-frequency jamming which could concentrate energy applying into the transmitted spectra. Usually, the communication signal is covered by the jamming effect. In order to effectively detect the existence of single frequency interference signal or not, the paper presents a frequency domain abnormal phenomena detection method based on adaptive equalization coefficients. The proposed method directly transforms the calculated equalization coefficients into the frequency domain. Then, the existence of strong single-frequency interference signals can be directly detected online by observing the characteristics of the frequency domain. The simulation results show that this method has a good detection effect on strong single frequency jamming. The research shows that the mentioned detection method and the related anomaly recognition technology based on equalization coefficients can be used for jamming detection, and can provide a new technical approach for jamming detection.
Flexible and High-Efficiency LDPC Encoder Architecture for CCSDS Standard
Authors: Kang Jing , An Junshe , Zhu Yan 
Published: September 2024

Abstract
The Consultative Committee for Space Data Systems (CCSDS) has adopted quasi-cyclic low-density parity-check (QC-LDPC) codes for use in near-Earth (C2) and deep space (AR4JA) communications. Existing encoder architectures for C2 codes, however, fall short in efficiency for high-throughput applications. This paper introduces a comprehensive approach combining algorithmic and architectural optimizations to enhance hardware usage efficiency (HUE) while offering flexibility. We propose an integrated inter-block and intra-block parallel (IIB-IBP) encoding algorithm that leverages the unique matrix structure to significantly enhance performance. Additionally, a matrix-specific command register pretreatment (MSCRP) technique is developed to effectively handle the special dimensions of the generator matrix. Furthermore, we detail an offline design process for the automated generation of the encoder core’s HDL description, facilitating fine-tuning of encoding parallelism, latency, FPGA resource utilization, and overall throughput. Hardware implementation on a Virtex XC5VLX110T FPGA demonstrates that our encoder reaches an impressive throughput of 10.6 Gb/s with only 2531 LUTs and 1040 FFs, achieving a HUE of 2.97 Mbps/logic unit. This performance marks a 70.6% increase in HUE when compared to state-of-the-art designs.
Preparation of nickel-manganese based bimetallic hydroxide nanosheets for enhanced electrocatalytic oxygen evolution reaction
Authors: Li Shilin , Wang Yuxin , Tang Kun , Guo Han , Guo Yifan , You Long , Lu Zhi , Wang Guangxin 
Published: September 2024

Abstract
This paper uses a common one-step hydrothermal method to prepare NiMn-LDH/NF (Layered Double Hydroxide, LDH) oxygen evolution catalyst with outstanding performance. The NiMn-LDH grows into a nanosheet array structure on nickel foam (NF) and it has a big surface area and exceptional ion transport function that could accelerate the diffusion rate of electrocatalytic products. It attempted to modulate the molar proportion of Ni and Mn to explore the oxygen evolution reaction (OER) performance of the NiMn-LDH/NF catalysts. It was found that when Ni:Mn=4:1 (molar ratio, hereinafter), the nanosheets grew more densely and had better OER performance and stability. The electrochemical test results show that the Ni4Mn-LDH/NF catalyst exhibits an overvoltage of 341 mV at a current density of 10 mA cm−2, and the Tafel slope is only 98.99 mV dec−1.
Ultrafast reaction kinetic of polyaniline in flexible hydrogel electrodes facilitated by graphene ribbons
Authors: Gao Pengfei , Fan Zhuangjun 
Published: September 2024

Abstract
By loading energy storage active materials on hydrogel which is inherently flexible, the flexibility of electrode materials can be simply realized, thereby achieving the flexibility of energy storage devices. However, the polymer network that constructs the three-dimensional skeleton of the hydrogel is not conductive, which inhibits the redox ability of the active material. If a high speed conductive structure can be added to the colloidal phase, the performance of the flexible electrode material can be greatly improved. Here, we introduce redox graphene ribbons into the polyvinyl alcohol hydrogel loaded with polyaniline. The in situ three-dimensional conductive graphene network greatly enhanced the conductivity of the hydrogel electrode, thus increasing the specific capacitance to as high as 1117 F g−1 at 2 mg cm−2 mass loading, with a retention ratio of 66.96% from 0.5 A g−1 to 20 A g−1. These highlighted properties enable the PRP hydrogel as an electrode for flexible supercapacitors, which provides a promising possibility for the practical application of wearable electronics.
Anti-corrosive properties of vermiculite-enhanced waterborne epoxy resins with two-dimensional exfoliation
Authors: Li Zhiyuan , Ren Lisha , Wei Tong , Fan Zhuangjun 
Published: September 2024

Abstract
Although waterborne epoxy resin coatings are widely used in the field of anti-corrosion, micropores and micro defects in their coatings are the key factors restricting their further development. The exfoliated vermiculite was stripped by a physical one-step stripping method, with good water dispersion and dense lamellar structure. As the nano-filler, it can effectively fill the micro defects in the coating, make the coating structure more compact, and effectively prevent the intrusion of corrosive media. When exfoliated vermiculite was added at 1%, two orders of magnitude increased the electrochemical impedance modulus to 2.276×106 Ω cm2 and the corrosion current was correspondingly reduced to 1.186×10−8 A cm−2, showing excellent corrosion resistance. Adding 1% exfoliated vermiculite creates a “labyrinth effect” in the coating that extends the penetration path of the corrosion particles, thus effectively preventing corrosion of the underlying metal substrate. This enables the coating to better cope with harsh corrosive environments and provides a viable idea for coating protection.
Molecular dynamics simulation on de-icing behavior of nanodroplets on amorphous SiO2
Authors: Fan Wenqi , Li Chen 
Published: September 2024

Abstract
The ice formation and detachment process of nanoscale water droplets on the amorphous SiO2 substrate, which is for simulating the glass of solar panels, is studied in this paper by molecular dynamics simulation methods, considering the effects of environmental temperature, onset of icing time, and parameters of the nanoarray on the ice formation morphology and ice adhesion strength. The results show that the ice adhesion strength is independent of the environmental temperature. The time of icing onset influences the recoil state of droplets, with a larger spreading area leading to higher adhesion strength. The increase in height and decrease in width of the nanocolumns of nanoarray structure leads to an increase in the contact angle of the droplet, causing a reduction in ice adhesion strength, albeit with a slight rise within a certain height range.