bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance comparison of amplitude-decorrelation and speckle variance algorithms in spectrometer-based OCT angiography
Authors: Kampong W , Saetiew J , Lenaphet Y , Sangtawesin S , Meemon P 
Published: February 2023

Abstract
In this work, optical coherence tomography angiography (OCTA) was implemented on a spectrometer-based spectral domain OCT (SD-OCT) that was built on Michelson interferometer. Three methods of speckle analysis were implemented, i.e. amplitude decorrelation (AD), speckle variance (SV), and speckle to mean variance (SMV). The SMV is an in-house developed algorithm to accommodate the poor signal-to-noise ratio performance of the spectrometer-based SD-OCT. To compare the performance of the implemented algorithms, a flow phantom was constructed by embedding a capillary tube inside a diluted milk gel that represented static tissue. To mimic a blood flow beneath skin, diluted milk was pumped through the capillary tube with speeds of 0.3 to 3.5 mm·s−1 by using a syringe pump system. The performance of each OCTA algorithm, in terms of contrast-to-noise ratio (CNR), were measured and compared. The result shows that SMV algorithm provided the highest relative CNR value of 1.34, which is a 111 % improvement over the performance of SV algorithm.
A Data Enhancement Method toward Real-World Single Image Super-Resolution
Authors: Yang Jiaqi , li Qi , Chen Yueting , Xu Zhihai , Feng Huajun , Wang Jing 
Published: February 2023

Abstract
Introducing convolutional neural networks (CNNs) into single image super-resolution (SISR) has achieved remarkable performance in experimental scenarios over the past decades. However, maintaining constant mapping complexity, most existing CNN-based SISR approaches make it challenging to reconstruct high-quality images in real scenarios because of considerable variation between authentic degradation and simulated degradation. In this paper, to improve SISR models’ capabilities in the real world, we propose a data enhancement method, consisting of frequency domain data augmentation (FDA) and dynamical frequency loss (DFL). By introducing high-resolution images’ frequency information, the FDA enhances the quality and quantity of data, regularizing the model to learn “how” to appropriately apply super-resolution on different frequency components of a given image. In addition, to further strengthen the regularization effect, we design DFL to dynamically assign the loss trade-off hyperparameters of distinct frequency components, guiding the model to allocate computational overhead reasonably. Considering quantitative analysis and visual quality in combination, extensive experiments prove that the proposed enhancement method significantly improves SR models’ capabilities in real scenarios without adding any computational cost to the evaluation procedure.
A Method for Improving the Precision of FOG Scaling Coefficient Calibration Based on the High Precision Turntable
Authors: Zhang Yongfeng , Hu Shuling , Yang Gongliu , Liu Hongwu 
Published: February 2023

Abstract
Aiming at the problem that the calibration accuracy of FOG depends on the precision of turntable, the relationship between the rotation excitation mode calibration and system-level calibration of FOG and the precision of turntable is analyzed. Firstly, the error model of fog is given, and the optimal rotation path is designed based on the principle of rotation excitation mode calibration. The rotation excitation mode calibration and system-level calibration simulation are carried out respectively. The comparison results show that when the precision of the turntable is 1”, the scale coefficient error of the rotation excitation mode calibration is about 60% lower than that of the system calibration. Through further simulation, it is found that the scale coefficient error of the gyroscope calibrated with 10 turns of the turntable is about 50% lower than that of the gyroscope calibrated with 5 turns, and the scale coefficient error can be effectively reduced by increasing the number of turns of the turntable. Finally, the actual experiment is carried out, and it is proved that the calibration accuracy of the rotating excitation mode is higher than that of the system level when the precision of the turntable is higher, which has a certain practical significance for improving the precision of the inertial navigation beacon.
Firefighting Robot Key Structure Design and Analysis
Authors: Xiaolin Ma , Hao Sun , Ran Li , peifeng Zhao , Xin Huang , Xiuzhuo Fu , Mingrui Wang , Skachkov Igor , Yongcheng Liu 
Published: February 2023

Abstract
An intelligent firefighting robot was developed in this paper, and the overall structure and main technical parameters were introduced. The relationships among the parameters on the ramp were studied and analysed, such as the position of the centre of gravity, the length of the track grounding, the width and the slope angle, which provided a reference for the rational configuration of the structural parameters of the robot. Finally, 50kg counterweight was added to the robot according to the analysis structure. And the multi robot finite element analysis was carried out. The results showed that the maximum deformation of the bearing beam is 3.35mm, and the maximum stress value is 92.2MPa, which can meet the use conditions. Finally, the robot was tested on the actual slope, and the results showed that the robot can span 32 degrees of building steps, which was greatly improved the robot’s environmental adaptability.
Free-Standing Multilayer MoS2-BP Heterostructures for High Performance Self-Powered Photodetector
Authors: Zhang Zhihao , Ye Jiaying 
Published: February 2023

Abstract
Phototransistors based on two-dimensional materials such as graphene, transition metal sulfides, and black phosphorus are widely used in in recent years. However, these materials have weak optical absorption, low carrier mobility or poor air stability, which restrict their application in the field of high-sensitivity detection. The inter-stacking of two-dimensional semiconductors can achieve excellent performance, and has promising applications in the field of optoelectronics. The stacking of two-dimensional semiconductors can form van der Waals heterostructures with low defect states and spatial homogeneity, which is an effective way to improve the performance of 2D photodetectors. Based on this, this paper constructs a free-standing multilayer MoS2-BP heterostructure by mechanical exfoliation for high performance self-powered photodetector. The strong space charge region can effectively separate the photogenerated carriers, so it has a good photodetection capability in the self-driven state. Moreover, we analyse and summarize the working mechanism of photodetectors based on 2D materials, and review high sensitivity detectors of recent years based on 2D material heterojunction. Finally, the challenges to further improve the detection sensitivity are pointed out. Thus, our free-standing multilayer MoS2-BP heterostructure propose a useful experience and reference for the future development of self-power photodetectors.
Sparse Volterra Equalizer to Mitigate the Nonlinear Distortion in High Power Budget IM-DD OFDM PON
Authors: Feng Nan , Li Shaobo , Luo Qingsong 
Published: February 2023

Abstract
To improve the power budget for intensity-modulation direct-detection (IM-DD) orthogonal frequency division multiplexing passive optical network (OFDM PON), a high power budget downstream scheme by using the Volterra equalizer in digital signal processing (DSP) processing is proposed in this paper. When the launch power is increased, the subcarrier-to-subcarrier beating interference (SSBI) and other nonlinear distortion are well mitigated by the Volterra equalizer. Moreover, to reduce the complexity of receiver DSP unit, the sparse Volterra equalizer is obtained through optimizing full Volterra equalizer employing orthogonal search method. Simulation and experiment results are presented to evaluate the transmission performance and analyze the distribution of taps of Volterra equalizer under different respects. The results show that the number of tap coefficient of sparse Volterra equalizer is reduced by 60% compared with that of conventional second-order full Volterra equalizer.
Physicochemical, mechanical, dielectric, and biological properties of sintered hydroxyapatite/barium titanate nanocomposites for bone regeneration
Authors: Swain Sujata , Bhaskar Rakesh , Narayanan Kannan Badri , Gupta Mukesh Kumar , Sharma Sonia , Dasgupta Sudip , Han Sung Soo , Kumar Pawan 
Published: February 2023

AbstractBone implants fabricated using nanocomposites containing hydroxyapatite (HA) and barium titanate (BT) show osteoconductive, osteoinductive, osteointegration, and piezoelectricity properties for bone regeneration applications. In our present study, HA and BT nanopowders were synthesized using high-energy ball-milling-assisted solid-state reaction with precursors of calcium carbonate and ammonium dihydrogen phosphate, and barium carbonate and titanium oxide powder mixtures, respectively. Hexagonal HA and tetragonal BT phases were formed after calcination at 700 and 1000 °C, respectively. Subsequently, hydroxyapatite/barium titanate (HA/BT) nanocomposites with different weight percentages of HA and BT were prepared by ball-milling, then compacted and sintered at two different temperatures to endow these bioceramics with better mechanical, dielectric, and biological properties for bone regeneration. Microstructure, crystal phases, and molecular structure characterizations of these sintered HA/BT nanocomposite compacts (SHBNCs) were performed using field-emission scanning electron microscopy, x-ray diffraction, and Fourier-transform infrared spectroscopy, respectively. Bulk density was evaluated using the Archimedes method. HA/BT nanocomposites with increased BT content showed enhanced dielectric properties, and the dielectric constant (ϵr) value for 5HA/95BT was ∼182 at 100 Hz. Mechanical properties such as Vicker’s hardness, fracture toughness, yield strength, and diametral tensile strength were also investigated. The hemolysis assay of SHBNCs exhibited hemocompatibility. The effect of these SHBNCs as implants on thein vitrocytocompatibility and cell viability of MG-63 osteoblast-like cells was assessed by MTT assay and live/dead staining, respectively. 15HA/85BT showed increased metabolic activity with a higher number of live cells than BT after the culture period. Overall, the SHBNCs can be used as orthopedic implants for bone regeneration applications.
Temporal hydrological drought clustering varies with climate and land-surface processes
Authors: Brunner Manuela I , Stahl Kerstin 
Published: February 2023

Abstract
Recurrent hydrological droughts (streamflow deficits) are highly impactful and challenge water management. Regional studies have provided some evidence of drought-rich periods at specific time scales. However, it is yet unclear where and when droughts cluster in time. Here, we test for significant temporal hydrological drought clustering at subseasonal to multi-year time scales in different climate zones around the world using two different clustering metrics, i.e. the dispersion index and Ripley’s K. We find that (1) only 10% of the catchments show temporal hydrological drought clustering, (2) hydrological droughts cluster from seasonal to 3-year time scales with clustering being strongest at an annual time scale; (3) arid catchments with a low snow fraction are most prone to temporal drought clustering; and (4) temporal clustering is more pronounced for hydrological than for meteorological droughts. These results suggest that besides climatic drivers, land-surface processes importantly influence the temporal clustering behavior of hydrological droughts.
Rapid synthesis of nano-TiC particles by microwave heating method
Authors: Bai Shuang , Guan Li , Dong Binbin , Min Zhiyu , Gao Qiancheng , Li Mingliang , Chen Jiahui , Zhou Xuemeng , Zhang Yuanyuan , Wang Gaoyuan , Zhang Rui 
Published: February 2023

Abstract
Nanosize titanium carbide (TiC) particles were fabricated by microwave heating at 1100 °C for 10 min using carbon and tetrabutyl titanate as raw materials. The as-sintered precursor was prepared using the sol-gel method. The phase composition, morphology and microwave heating behavior of the heated products were investigated. It was found that TiC particles can be synthesized in a closed capsule of SiO2 with the combined action of high temperature and gaseous products. TiC particles with an average diameter of 50 nm can be synthesized through microwave heating at 1100 °C for 10 min. Higher temperature and longer holding time would lead to re-oxidation and the coalescence of as-formed TiC products. This work demonstrates that this rapid and low-temperature preparation method of nanosize TiC particles has potential application for industrial production.
Influence of filler wire on metallurgical, mechanical, and corrosion behaviour of 430 ferritic stainless steel using a fusion welding process
Authors: Bansod Ankur , Shukla Sourabh , Gahiga Gabriel , Verma Jageshvar 
Published: February 2023

Abstract
The advantage of ferritic stainless steels (FSS’s) over austenitic stainless steels is that they are less expensive alloys. This is due to low or negligible nickel in its alloying element which makes the steel affordable. This type of steel is highly recommended against chloride attack and is also machinable to produce various components for engineering applications. This study examines the effect of various fillers on 430 ferritic stainless steel (FSS). The austenitic (308) and ferritic (410) grades of filler were used to study the weldability, microstructure, mechanical properties, and corrosion resistance using tungsten inert gas welding. The findings showed the emergence of various complex phases in both the weld sample. The sample welded with 410 filler shows acicular ferrite, martensite and austenite. Whereas, austenite and vermicular ferrite are observed in the sample welded with 308 filler. Based on compositions and solidification modes, the mechanical properties of welded joints also vary. It was found that ferritic mode solidified welds dominated in terms of qualities, which was found in 410 filler. In the chloride solution, the behaviour of the pitting corrosion resistance of each weld varied. The sample welded with 410 was superior corrosion resistance. This is due to more δ-ferrite in the weld sample. Whereas, 308 showed poorer resistance against the simulated seawater solution. In 410 welds, a greater degree of sensitization was observed, as compared to 308 welds.
Inherent internal p-n junction assisted single layered n-type iron pyrite solar cell
Authors: Gohri Shivani , Madan Jaya , Mohammed Mustafa K A , Pandey Rahul 
Published: February 2023

Abstract
The high absorption coefficient and low cost with plentiful availability make the material iron pyrite (FeS2) promising for solar cell applications. However, their efficiency in the literature is still around 2.8% due to their low VOC. The presence of an acceptor-type surface inversion layer (SIL) with a significant band gap (0.56 eV–0.72 eV) is the main cause of this low performance. A detailed study considering these two parameters is not available in the literature to relate device performance to underlying phenomena. Therefore, a comprehensive analysis of the band gap and doping variation of SIL was performed in this article to explore the efficiency potential of FeS2 solar cells. The results showed that SIL with a low bandgap is highly undesirable, and it is recommended to fabricate SIL with a higher band gap of 0.72 eV and a doping of 1019 cm−3 in the laboratory to achieve a conversion efficiency of 5.36%. It was also confirmed that FeS2-based solar cells without a SIL layer have the potential to deliver 10.3% conversion efficiency. The results reported in this study will pave the way for underestimating the workings of iron pyrite solar cells and developing highly efficient FeS2 solar cells.
Application of reinforcement learning in planning and operation of new power system towards carbon peaking and neutrality
Authors: Sun Fangyuan , Wang Zhiwei , Huang Junhui , Diao Ruisheng , Zhao Yingru , Lan Tu 
Published: February 2023

Abstract
To mitigate global climate change and ensure a sustainable energy future, China has launched a new energy policy of achieving carbon peaking by 2030 and carbon neutrality by 2060, which sets an ambitious goal of building NPS with high penetration of renewable energy. However, the strong uncertainty, nonlinearity, and intermittency of renewable generation and their power electronics-based control devices are imposing grand challenges for secure and economic planning and operation of the NPS. The performance of traditional methods and tools becomes rather limited under such phenomena. Together with high-fidelity modeling and high-performance simulation techniques, the fast development of AI technology, especially RL, provides a promising way of tackling these critical issues. This paper first provides a comprehensive overview of RL methods that interact with high-fidelity grid simulators to train effective agents for intelligent, model-free decision-making. Secondly, three important applications of RL are reviewed, including device-level control, system-level optimized control, and demand side management, with detailed modeling and procedures of solution explained. Finally, this paper discusses future research efforts for achieving the goals of full absorption of renewable energy, optimized allocation of large-scale energy resources, reliable supply of electricity, and secure and economic operation of the power grid.
An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior
Authors: Zhang Yibei , Zhang Qingtian , Qin Qi , Zhang Wenbin , Xi Yue , Jiang Zhixing , Tang Jianshi , Gao Bin , Qian He , Wu Huaqiang 
Published: February 2023

Abstract
The long-time retention issue of resistive random access memory (RRAM) brings a great challenge in the performance maintenance of large-scale RRAM-based computation-in-memory (CIM) systems. The periodic update is a feasible method to compensate for the accuracy loss caused by retention degradation, especially in demanding high-accuracy applications. In this paper, we propose a selective refresh strategy to reduce the updating cost by predicting the devices’ retention behavior. A convolutional neural network-based retention prediction framework is developed. The framework can determine whether an RRAM device has poor retention that needs to be updated according to its short-time relaxation behavior. By reprogramming these few selected devices, the method can recover the accuracy of the RRAM-based CIM system effectively. This work provides a valuable retention coping strategy with low time and energy costs and new insights for analyzing the physical connection between the relaxation and retention behavior of the RRAM device.
Cooking Interventions for Improving Diet Quality Among Black Americans: A Randomized Controlled Trial
Authors: Kramer Emily B , Knight Erik L , Bryan Angela D 
Published: February 2023

AbstractBackgroundNon-Hispanic Black Americans experience the highest, and most rapidly increasing, rates of obesity. Despite evidence that this is at least somewhat related to poor diet quality, we have yet to identify effective interventions for improving diet quality long-term. Restrictive diets can be ineffective and often harmful. In contrast, there is a well-established connection between home cooking and lower body mass index, better diet quality, and improved health.PurposeThe present study applied the Theory of Planned Behavior (TPB) to examine the effect of an intervention delivering cooking instruction, rather than nutrition information, on beliefs, attitudes, and behaviors pertaining to diet quality and cooking among Black adults in the USA.MethodsAn online sample of Black Americans (N = 147), ages 18–76 (M = 30.69, SD = 10.42) were recruited via Prolific and randomized to view either a cooking tutorial video or a “standard of care” control webpage followed by either an implementation intentions (II) writing activity or a “freestyle” control writing activity. Cognitions and behavior related to healthy eating and cooking were measured at baseline, post-intervention, and 1-week follow-up.ResultsResults of mixed-effects modeling indicated that participants randomized to the video condition reported significantly greater post-intervention intentions to cook (p &lt; .001), which positively correlated with cooking behavior over the subsequent week (p &lt; .01). There was no effect of the II intervention on subsequent-week behavior (ps &gt; .413). Importantly, 75% (n = 105) indicated experiencing food insecurity at the time of data collection.ConclusionsThese results highlight a promising pathway for improving nutrition and diet-related health outcomes among Black Americans while highlighting that any intervention must account for food insecurity in this population.
New horizons in managing older cancer survivors: complexities and opportunities
Authors: Mislang Anna R A , Mangoni Arduino A , Molga Angela , Jena Swatee , Koczwara Bogda 
Published: February 2023

Abstract
Older adults represent a growing population amongst cancer survivors who require specific consideration given the complex and largely unknown interactions between cancer-related concerns and age-related conditions. The increasing use of geriatric assessment (GA) has enabled oncologists to appropriately assess older patients’ overall health status, personalise anti-cancer treatment and improve survival. However, whilst current research and practice focus on improving the management of older adults with cancer in the acute setting, the progress in the field of survivorship research in geriatric oncology is lagging. As cancer survivorship is a continuum, planning for a healthy survivorship should start at the time of cancer diagnosis. GA can play an important role in identifying potential survivorship issues and optimising delivery of survivorship care. A goal-directed, patient-focused geriatric survivorship care plan that involves a multidisciplinary team provides a framework for a personalised delivery of survivorship care in this patient group and there is a need for tailored interventions that support self-management and care integration. Research on the impact of cancer and its treatment on geriatric-specific outcomes needs to be prioritised through global initiatives to encompass a diverse and heterogenous population of adult cancer survivors.