bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resolving hidden pixels beyond the resolution limit of projection imaging by square aperture
Authors: Xu Kelvin J. , Xu Gu 
Published: March 2023

AbstractProjection imaging has been employed widely in many areas, such as x-ray radiography, due to its penetration power and ballistic geometry of their paths. However, its resolution limit remains a major challenge, caused by the conflict of source intensity and source size associated with image blurriness. A simple yet robust scheme has been proposed here to solve the problem. An unconventional square aperture, rather than the usual circular beam, is constructed, which allows for the straightforward deciphering of a blurred spot, to unravel hundreds originally hidden pixels. With numerical verification and experimental demonstration, our proposal is expected to benefit multiple disciplines, not limited to x-ray imaging.
The role of defense styles and psychopathological symptoms on adherence to conspiracy theories during the COVID-19 pandemic
Authors: Gioia Francesca , Imperato Chiara , Boursier Valentina , Franceschini Christian , Schimmenti Adriano , Musetti Alessandro 
Published: March 2023

AbstractDue to the unpredictability of the COVID-19 pandemic situation, individuals felt uncertain and insecure. As a consequence, conspiracy theories flourished and quickly spread. In the current study, we examine the relationship between general and COVID-19-related conspiracy theories, cognitive reflection, psychopathological symptoms, and defense styles in a sample of Italian adults. A total of 450 participants (50.2% male; mean age = 40.89 years, SD = 12.15) took part in an online survey. Two linear regression models on the general (explained variance 22.6%) and COVID-19-related (explained variance 33.0%) conspiracy theories have been tested. Among the predictive factors, older age, mania symptoms, and immature defenses facilitate adherence to conspiracy theories; on the opposite side, higher education, cognitive reflection, and mature defenses protected from adherence to conspiracy theories. The study provides some novel findings about factors that are significantly associated with general and COVID-19-related conspiracy theories, and highlights the pivotal role of individuals’ psychological defenses in conspiracy theories.
Maximum dose, safety, tolerability and ketonemia after triheptanoin in glucose transporter type 1 deficiency (G1D)
Authors: Málaga Ignacio , Avila Adrian , Primeaux Sharon , Kallem Raja Reddy , Roe Charles R. , Putnam William C. , Park Jason Y. , Shinnar Shlomo , Ahn Chul , Pascual Juan M. 
Published: March 2023

AbstractAugmentation of anaplerosis, or replenishment of carbon lost during intermediary metabolic transitions, is desirable in energy metabolism defects. Triheptanoin, the triglyceride of 7-carbon heptanoic acid, is anaplerotic via direct oxidation or 5-carbon ketone body generation. In this context, triheptanoin can be used to treat Glucose transporter type 1 deficiency encephalopathy (G1D). An oral triheptanoin dose of 1 g/Kg/day supplies near 35% of the total caloric intake and impacted epilepsy and cognition in G1D. This provided the motivation to establish a maximum, potentially greater dose. Using a 3 + 3 dose-finding approach useful in oncology, we studied three age groups: 4–6, 6.8–10 and 11–16 years old. This allowed us to arrive at a maximum tolerated dose of 45% of daily caloric intake for each group. Safety was ascertained via analytical blood measures. One dose-limiting toxicity, occurring in 1 of 6 subjects, was encountered in the middle age group in the context of frequently reduced gastrointestinal tolerance for all groups. Ketonemia following triheptanoin was determined in another group of G1D subjects. In them, β-ketopentanoate and β-hydroxypentanoate concentrations were robustly but variably increased. These results enable the rigorous clinical investigation of triheptanoin in G1D by providing dosing and initial tolerability, safety and ketonemic potential.ClinicalTrials.gov registration: NCT03041363, first registration 02/02/2017.
Community detection in brain connectomes with hybrid quantum computing
Authors: Wierzbiński Marcin , Falcó-Roget Joan , Crimi Alessandro 
Published: March 2023

AbstractRecent advancements in network neuroscience are pointing in the direction of considering the brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions. In this context, community detection is a pivotal issue in computational neuroscience. In this paper we explored community detection within brain connectomes using the power of quantum annealers, and in particular the Leap’s Hybrid Solver in D-Wave. By reframing the modularity optimization problem into a Discrete Quadratic Model, we show that quantum annealers achieved higher modularity indices compared to the Louvain Community Detection Algorithm without the need to overcomplicate the mathematical formulation. We also found that the number of communities detected in brain connectomes slightly differed while still being biologically interpretable. These promising preliminary results, together with recent findings, strengthen the claim that quantum optimization methods might be a suitable alternative against classical approaches when dealing with community assignment in networks.
Electrical and thermal characterisation of liquid metal thin-film Ga$$_2$$O$$_3$$–SiO$$_2$$ heterostructures
Authors: Petkov Alexander , Mishra Abhishek , Cattelan Mattia , Field Daniel , Pomeroy James , Kuball Martin 
Published: March 2023

AbstractHeterostructures of Ga$$_2$$

2

O$$_3$$

3

with other materials such as Si, SiC or diamond, are a possible way of addressing the low thermal conductivity and lack of p-type doping of Ga$$_2$$

2

O$$_3$$

3

for device applications, as well as of improving device reliability. In this work we study the electrical and thermal properties of Ga$$_2$$

2

O$$_3$$

3

–SiO$$_2$$

2

heterostructures. Here, thin-film gallium oxide with thickness ranging between 8 and 30 nm was deposited onto a silicon substrate with a thermal oxide by means of oxidised liquid gallium layer delamination. The resulting heterostructure is then characterised by means of X-ray photoelectron spectroscopy and transient thermoreflectance. The thin-film gallium oxide valence band offset with respect to the SiO$$_2$$

2

is measured as 0.1 eV and predicted as $$-2.3$$

-
2.3

eV with respect to diamond. The thin-film’s out-of-plane thermal conductivity is determined to be 3 ±0.5 Wm$$^{-1}$$

-
1

K$$^{-1}$$

-
1

, which is higher than what has been previously measured for other polycrystalline Ga$$_2$$

2

O$$_3$$

3

films of comparable thickness.
The effect of linagliptin on microalbuminuria in patients with diabetic nephropathy: a randomized, double blinded clinical trial
Authors: Karimifar Mozhgan , Afsar Jamileh , Amini Massoud , Moeinzadeh Firouzeh , Feizi Awat , Aminorroaya Ashraf 
Published: March 2023

AbstractThe aim of the present study was to investigate the effect of linagliptin on microalbuminuria in patients with diabetic nephropathy (DN). The present double-blind randomized placebo-controlled clinical trial was performed on 92 patients with DN who were divided into two groups. The intervention and control groups received linagliptin 5 mg and placebo for 24 weeks, respectively. Blood pressure, lipid profile, liver enzymes, fasting plasma glucose (FPG), and urine albumin-creatinine ratio (UACR) were assessed and recorded before, 12 weeks, and 24 weeks after the beginning of the intervention. The mean value of UACR decrease was significant over time in both groups, with higher decrease in linagliptin group, however, the differences between two groups were not, statistically significant (P > 0.05). However, the percentage of improvement in microalbuminuria (UACR < 30 mg/g) in the linagliptin group was significantly higher than that of the control group during 24 weeks of intervention (68.3% vs. 25%; P-value < 0.001). There was no statistically significant difference in the mean value of the UACR and other parameters between linagliptin treated and placebo treated patients with diabetic nephropathy. Further studies, with longer periods of follow-up are suggested to examine these patients’ renal outcomes.
A thermophilic chemolithoautotrophic bacterial consortium suggests a mutual relationship between bacteria in extreme oligotrophic environments
Authors: Pinheiro Yuri , Faria da Mota Fabio , Peixoto Raquel S. , van Elsas Jan Dirk , Lins Ulysses , Mazza Rodrigues Jorge L. , Rosado Alexandre Soares 
Published: March 2023

AbstractA thermophilic, chemolithoautotrophic, and aerobic microbial consortium (termed carbonitroflex) growing in a nutrient-poor medium and an atmosphere containing N2, O2, CO2, and CO is investigated as a model to expand our understanding of extreme biological systems. Here we show that the consortium is dominated by Carbonactinospora thermoautotrophica (strain StC), followed by Sphaerobacter thermophilus, Chelatococcus spp., and Geobacillus spp. Metagenomic analysis of the consortium reveals a mutual relationship among bacteria, with C. thermoautotrophica StC exhibiting carboxydotrophy and carbon-dioxide storage capacity. C. thermoautotrophica StC, Chelatococcus spp., and S. thermophilus harbor genes encoding CO dehydrogenase and formate oxidase. No pure cultures were obtained under the original growth conditions, indicating that a tightly regulated interactive metabolism might be required for group survival and growth in this extreme oligotrophic system. The breadwinner hypothesis is proposed to explain the metabolic flux model and highlight the vital role of C. thermoautotrophica StC (the sole keystone species and primary carbon producer) in the survival of all consortium members. Our data may contribute to the investigation of complex interactions in extreme environments, exemplifying the interconnections and dependency within microbial communities.
In situ single-crystal synchrotron X-ray diffraction studies of biologically active gases in metal-organic frameworks
Authors: Main Russell M. , Vornholt Simon M. , Rice Cameron M. , Elliott Caroline , Russell Samantha E. , Kerr Peter J. , Warren Mark R. , Morris Russell E. 
Published: March 2023

AbstractMetal-organic frameworks (MOFs) are well known for their ability to adsorb various gases. The use of MOFs for the storage and release of biologically active gases, particularly nitric oxide (NO) and carbon monoxide (CO), has been a subject of interest. To elucidate the binding mechanisms and geometry of these gases, an in situ single crystal X-ray diffraction (scXRD) study using synchrotron radiation at Diamond Light Source has been performed on a set of MOFs that display promising gas adsorption properties. NO and CO, were introduced into activated Ni-CPO-27 and the related Co-4,6-dihydroxyisophthalate (Co-4,6-dhip). Both MOFs show strong binding affinity towards CO and NO, however CO suffers more from competitive co-adsorption of water. Additionally, we show that morphology can play an important role in the ease of dehydration for these two systems.
Dual-light defined in situ oral mucosal lesion therapy through a mode switchable anti-bacterial and anti-inflammatory mucoadhesive hydrogel
Authors: Liu Huijie , Li Qun , Xu Yingying , Sun Yue , Fan Xin , Fang Huaqiang , Hu Binbin , Huang Li , Liao Lan , Wang Xiaolei 
Published: March 2023

ZPTA-G/HMA can treat oral mucosal lesions by in situ anchoring to wet mucosa surface for hemostasis and the production of ROS for anti-bacteria under GL irradiation, as well as by enhanced anti-inflammation for promoting healing with NIR irradiation.
Blockchain‐based reliable image copyright protection
Authors: Xiao Xiangli , He Xiaotong , Zhang Yushu , Dong Xuewen , Yang Lu‐Xing , Xiang Yong 
Published: March 2023

AbstractThe indiscriminate distribution of a large number of unlicensed images through the Internet seriously harms the benefits of image owners, which prompts the study of image copyright protection solutions. Existing blockchain‐free solutions are limited to using centralized servers to store copyright information, leaving data vulnerable to being lost or tampered with by external attacks. Although the blockchain‐based image copyright protection solutions are capable of addressing the above problem, improvements are needed in choosing a suitable blockchain platform and supporting integrated copyright life cycle management. To this end, this paper designs a blockchain‐based reliable image copyright protection system named BB‐RICP using Hyperledger Fabric. For one thing, the adoption of Fabric mitigates the limitations of other blockchain platforms represented by Ethereum in terms of efficiency, economy, and availability. For another, BB‐RICP successes in achieving integrated copyright lifecycle management. In addition, BB‐RICP achieves enhanced applicability performance by firstly introducing GM algorithms recommended by Chinese national standard and adapting the more consortium blockchain‐oriented practical byzantine fault tolerance algorithm. Moreover, the adoption of spread spectrum watermarking brings convenience to users. Finally, Kubernetes is used to assist in the simulation of BB‐RICP to verify that users can operate reliably in the blockchain network.
Calibration of frequency response mismatches in time‐interleaved analog‐to‐digital converter based on adaptive method
Authors: Xiang Jingrui , Tian Shulin , Pan Huiqing 
Published: March 2023

AbstractThe time‐interleaved analog‐to‐digital converter (TIADC) system could achieve high sampling rate effectively, but the frequency response inconsistency among channels will introduce frequency response mismatches, which will seriously degrade the signal quality. In this paper, a novel multi‐channel frequency response mismatches adaptive calibration method is proposed. The frequency response of the compensation filter is expanded into a polynomial of a digital differentiator, and the least mean square adaptive strategy is used to calibrate frequency response mismatches. It does not require measuring the channel frequency responses in advance and uses digital post‐processing technology to effectively compensate the frequency response of the multi‐channel TIADC system and improve the spurious‐free dynamic range. The experimental results verify the effectiveness of the algorithm.
Resource allocation method for Mobility‐Aware and Multi‐UAV‐Assisted mobile edge computing systems with energy harvesting
Authors: Chen Yong , Zhao Yisheng , He Ximei , Xu Zhihong 
Published: March 2023

AbstractDue to the limited coverage of base station (BS) and battery capacity of mobile users, the resource allocation strategy in multiple unmanned aerial vehicles (UAVs)‐assisted edge computing system with nonlinear energy harvesting is investigated in this paper. The cooperation between BS and multi‐UAV is considered, which can provide extensive coverage for users with mobility. Mobile users can simultaneously offload computation bits to the BS and the UAV, and mobile users harvest energy from BS and UAV. Meanwhile, the mobility of users is taken into account. Moreover, an echo state network (ESN)‐based prediction algorithm is utilized for predicting the future positions of mobile users. Therefore, the UAV can reach the predicted users' positions in advance to ensure the continuity of communication. The objective of the resource allocation strategy is to maximize the energy efficiency by jointly optimizing bandwidth allocation, computation resources, the trajectory of UAV, and transmitting power of mobile users. Then, the resource allocation problem is formulated as a mixed‐integer nonlinear programming problem. The quantum‐behaved particle swarm optimization (QPSO) algorithm is used to solve the problem. Simulation results demonstrate that the proposed strategy can achieve higher energy efficiency than other benchmark strategies. In addition, QPSO algorithm outperforms the standard particle swarm optimization algorithm and genetic algorithm in terms of energy efficiency.
Design of robust adaptive fuzzy control for uncertain bilateral teleoperation systems based on backstepping approach
Authors: Bouteraa Yassine , Alattas Khalid A. , Peng Tongrui , Fekih Afef , Rahmani Reza , Mobayen Saleh 
Published: March 2023

AbstractIn this study, a novel method based on a robust adaptive fuzzy control approach is developed for nonlinear teleoperation systems. Its main objectives are to ensure system stability and properly mitigating parametric uncertainties stemming from external disturbances and un‐modelled dynamics. For the communication channel, instead of the direct transmission of environmental torque signals, the approximated environmental parameters by the fuzzy system are transmitted to the master side for the prediction of environmental torque, thus successfully avoiding the transmission of the power signals in the delayed communication channel and solving the passivity problem in the teleoperation system. Besides, a trajectory generator is employed in the master side, whereas a trajectory smoothing is provided in the slave side. Theoretically, it was proven that both position tracking and force feedback problems are attained. Using Lyapunov stability analysis, this work illustrates that the robust adaptive fuzzy controller based on the backstepping approach guarantees the system's asymptotic stability. Simulation results confirm the efficiency of the suggested control technique in achieving the stability and tracking objectives of the uncertain nonlinear teleoperation system.
Spectral similarity‐based feature for hyperspectral image classification
Authors: Wang Ke , Xiao Jian 
Published: March 2023

AbstractBased on spectral similarity measure, a unified spectral similarity‐based framework is developed to generate a new series of spectral similarity‐based features for hyperspectral image classification by using classifier, such as support vector machine(SVM). First, a reference spectral signature was defined according to the original hyperspectral data. The reference spectral signature can be chosen as the uniform line or the average of the original data. Second, the proposed features were produced by calculating the spectral similarity measures between each pixel's and the reference spectral signature. The experiment result shows that these proposed features can improve hyperspectral image classification accuracies.
A hybrid sliding mode control scheme for rapid earth fault current limiters in compensated distribution networks in bushfire prone areas
Authors: Roy Tushar Kanti , Mahmud Md Apel , Nasiruzzaman A B M , Barik MdAbdul 
Published: March 2023

AbstractA hybrid sliding mode controller is proposed for rapid earth fault current limiters (REFCLs) used in resonant grounded power distribution networks to self‐extinguish powerline bushfires where the concepts of the proportional integral (PI) action and nonsingular fast terminal sliding surface (NFTSS) are combined together to utilize the benefits of both schemes. A hybrid sliding surface is designed for obtaining the control input so that the fault current compensation is achieved by the residual current compensation (RCC) inverter used within a REFCL to a value that the fire does not ignite. The inclusion of an integral action along with the NFTSS helps to significantly reduce the chattering effect. Furthermore, a continuous function is introduced within the proposed scheme to replace the discontinuous signum function. The switches for the RCC inverter are controlled by deriving control actions from the Lyapunov stability theory applied on the hybrid PI‐NFTSS. The performance of the proposed controller is compared with a nonsingular fast terminal sliding mode controller. For this reason, this paper also includes the design process of nonsingular fast terminal sliding mode controller which is designed using only the NFTSS. Simulations under different scenarios having different fault resistances clearly depict the superiority of the proposed scheme over the nonsingular fast terminal sliding mode controller and an existing integral sliding mode controller in terms of maintaining transient responses.
Design and analysis of multi‐layer SIW coupler to use in phased array antenna feed network
Authors: Abedi Hamid , Taskhiri Mohammad Mahdi , Hadian Ebrahim 
Published: March 2023

AbstractIn this paper, a directional coupler is designed using the substrate integrated waveguide (SIW) method. The SIW coupler consists of a double‐layer with transverse rectangular slots in the middle of two layers. The proposed coupler contains three ports. The placement of ports is considered based on the generalization of the power divider network. Each layer is printed on 0.508 mm Rogers RT/Duroid 5880 ( and ). The coupling level is basically controlled by the number and size of the slots. This coupling ratio changes from −5 dB to −13 dB. It is complicated to design a single‐layer feed network for a two‐dimensional phased array antenna. The designed SIW coupler can be easily generalized to the feed network for a 2D phased array antenna that consists of a large number of antenna and phase shifter elements. The SIW coupler is simulated using CST software. The results of the analyses, simulations and experiments indicate good performances of the designed coupler.
Photoelectrochemical Cerium Catalysis via Ligand-to-Metal Charge Transfer: A Rising Frontier in Sustainable Organic Synthesis
Authors: Wang Yuying , Liu Siyuan , Chen Jianbin , Han Jiangsheng , Wang Ling 
Published: March 2023

AbstractPhotoelectrochemical cerium catalysis is an emerging and rapidly developing strategy in organic synthetic. A sustainable platform is being constructed by combining the concerted energy transfer from light and electricity to cerium with the ligand-to-metal charge transfer of excited state CeIV species. With this powerful strategy, hard to oxidized substrates can be activated under mild conditions, contributing to broad functional group compatibility. Such as, carboxylic acids, alcohols, and the Cl anion can deliver the corresponding radicals via formal single electron transfer (SET) with a low oxidation potential. Further cooperation with other synthetic strategies, including alkoxy radical promoted hydrogen atom transfer (HAT) and β-scission, leads to the functionalization of inert C(sp
3)–H, Si–H, and C–C bonds via a mild radical pathway. In this review, recent advances in photoelectrochemical cerium catalysis are described. More importantly, as this field features some unique advantages, but is rarely explored, we hope chemists will pay more attention to this catalytic system.1	Introduction2	Activation of Carboxylic Acids3	Activation of Alcohols3.1	Alkoxy Radical Involved Hydrogen Atom Transfer3.2	Alkoxy Radical Promoted β-Scission4	Formal Single-Electron Oxidation of Cl Anion5	Conclusions and Outlook