bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region
Authors: Hirashima Hideaki , Nakamura Mitsuhiro , Imanishi Keiho , Nakao Megumi , Mizowaki Takashi 
Published: January 2023

AbstractPurposeThe aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full‐image CNN. Auto‐segmentation accuracy was evaluated using various datasets with different intensity distributions and FOV sizes.MethodsA total of 171 CBCT datasets from patients with prostate cancer were enrolled. There were 151, 10, and 10 CBCT datasets acquired from Vero4DRT, TrueBeam STx, and Clinac‐iX, respectively. The FOV for Vero4DRT, TrueBeam STx, and Clinac‐iX was 20, 26, and 25 cm, respectively. The ROIs, including the bladder, prostate, rectum, and seminal vesicles, were manually delineated. The U2‐Net CNN network architecture was used to train the segmentation model. A total of 131 limited FOV CBCT datasets from Vero4DRT were used for training (104 datasets) and validation (27 datasets); thereafter the rest were for testing. The training routine was set to save the best weight values when the DSC in the validation set was maximized. Segmentation accuracy was qualitatively and quantitatively evaluated between the ground truth and predicted ROIs in the different testing datasets.ResultsThe mean scores ± standard deviation of visual evaluation for bladder, prostate, rectum, and seminal vesicle in all treatment machines were 1.0 ± 0.7, 1.5 ± 0.6, 1.4 ± 0.6, and 2.1 ± 0.8 points, respectively. The median DSC values for all imaging devices were ≥0.94 for the bladder, 0.84–0.87 for the prostate and rectum, and 0.48–0.69 for the seminal vesicles. Although the DSC values for the bladder and seminal vesicles were significantly different among the three imaging devices, the DSC value of the bladder changed by less than 1% point. The median MSD values for all imaging devices were ≤1.2 mm for the bladder and 1.4–2.2 mm for the prostate, rectum, and seminal vesicles. The MSD values for the seminal vesicles were significantly different between the three imaging devices.ConclusionThe proposed method is effective for testing datasets with different intensity distributions and FOV from training datasets.
Scalable Manufacturing of Mechanical Robust Bioinspired Ceramic–Resin Composites with Locally Tunable Heterogeneous Structures
Authors: Zhang Zhen‐Bang , Gao Huai‐Ling , Wen Shao‐Meng , Pang Jun , Zhang Si‐Chao , Cui Chen , Wang Ze‐Yu , Yu Shu‐Hong 
Published: January 2023

AbstractLightweight structural materials with a unique combination of high stiffness, strength, toughness, and hardness, are highly desired yet challenging to be artificially fabricated. Biological structural materials, on the other hand, ingeniously integrate multiple mutually exclusive mechanical properties together relying on their hierarchically heterogeneous structures bonded with gradient interfaces. Here, a scalable bottom‐up approach combining continuous nanofiber‐assisted evaporation‐induced self‐assembly with laminating, pressure‐less sintering and resin infiltration is reported to fabricate bioinspired heterogeneous ceramic–resin composites with locally tunable microstructure to fulfill specific properties. A gradient interlayer is introduced to provide a gradual transition between adjacent heterogeneous layers, effectively alleviating their property mismatch. The optimized heterogeneous nacre‐like composite, as a demonstration, exhibits an attractive combination of low density (≈2.8 g cm−3), high strength (≈292 MPa), toughness (≈6.4 MPa m1/2), surface hardness (≈1144 kgf mm−2) and impact‐resistance, surpassing the overall performance of engineering alumina. This material‐independent approach paves the way for designing advanced bioinspired heterogeneous materials for diverse structural and functional applications.
Graphite and Bismuth Selenide under Electrical Explosion in Confined Environment: Exfoliation, Phase Transition, and Surface Decoration
Authors: Han Ruoyu , Li Chen , Gao Ming , Cao Yuchen , Yuan Wei , Huang Yifan 
Published: January 2023

AbstractElectrical explosion, characterized by ultrafast atomization and quenching rate (dT/dt ≈ 1010–1012 K s–1) of the sample, is a unique approach for “one‐step” synthesis of nanomaterials. Experiments are carried out with layered graphite and Bi2Se3 under the action of electrical explosion in a confined reaction tube. High‐speed photography and electrophysical diagnostics are applied to characterize dynamic processes. SEM and EDS are used to characterize surface micro‐morphology of reaction products. The layered materials are first exfoliated to thin nanosheets/nanocrystals by shock waves and turbulent flow of the explosion. As the ionized explosion products (>10 000 K) contacts the sample, intense heat transfer happens, simultaneously atomizing the sample and quenching the plasmas. As a result, nanoparticles grow on the surface of thin sheets, forming “dot‐sheet” structure. The size distribution of the nanoparticles typically ranges from 10 to 100 nm, following Log‐normal distribution. The dotted graphite nanosheets gather together and form a stacked/cabbage‐like structure. By contrast, Bi2Se3 case accompanies with chemical reactions, causing surface corrosion and showing more possibilities: nanocrystals and nanotubes growth on different areas of the sample.
New Horizons in the Synthesis, Properties, and Applications of MXene Quantum Dots
Authors: Sariga  , Babu Ann Mariella , Kumar Shashi , Rajeev Rijo , Thadathil Ditto Abraham , Varghese Anitha 
Published: January 2023

AbstractThe progress of MXenes, a 2D layered structural material since its discovery in 2011 recently arouses a great deal of attention due to their plethora of applications in a diverse range of fields. Their excellent properties in terms of surface chemistry, optical activity, electrical conductivity, presence of abundant active catalytic sites, tunable band gap structure, ease of surface functionalization, and good biocompatibility make them an ideal candidate. The authors aim to guide the readers through various aspects such as their unique properties, synthesis techniques, and the recent advancements associated with MXene quantum dots (QDs). Herein, this review serves as a one‐stop point for prospective researchers to gain a better understanding of the application of MXene QDs in various fields including electrochemical detection, biomedical applications, and energy conversion and storage applications.
Pristine GaFeO3 Photoanodes with Surface Charge Transfer Efficiency of Almost Unity at 1.23 V for Photoelectrochemical Water Splitting
Authors: Sun Xin , Wang Min , Li Hai‐Fang , Meng Linxing , Lv Xiao‐Jun , Li Liang , Li Meicheng 
Published: January 2023

AbstractOxide‐based photoelectrodes commonly generate deep trap states associated with various intrinsic defects such as vacancies, antisites, and dislocations, limiting their photoelectrochemical properties. Herein, it is reported that rhombohedral GaFeO3 (GFO) thin‐film photoanodes exhibit defect‐inactive features, which manifest themselves by negligible trap‐states‐associated charge recombination losses during photoelectrochemical water splitting. Unlike conventional defect‐tolerant semiconductors, the origin of the defect‐inactivity in GFO is the strongly preferred antisite formation, suppressing the generation of other defects that act as deep traps. In addition, defect‐inactive GFO films possess really appropriate oxygen vacancy concentration for the oxygen evolution reaction (OER). As a result, the as‐prepared GFO films achieve the surface charge transfer efficiency (ηsurface) of 95.1% for photoelectrochemical water splitting at 1.23 V versus RHE without any further modification, which is the highest ηsurface reported of any pristine inorganic photoanodes. The onset potential toward the OER remarkably coincides with the flat band potential of 0.43 V versus RHE. This work not only demonstrates a new benchmark for the surface charge transfer yields of pristine metal oxides for solar water splitting but also enriches the arguments for defect tolerance and highlights the importance of rational tuning of oxygen vacancies.
Oxynitride Amorphous Carbon Layer for Electrically and Thermally Robust Bipolar Resistive Switching
Authors: Min SunHwa , Hyeon Da Seul , Jang Gabriel , Choi Jisoo , Seo Jeongwoo , Kwon Soyeong , Kim Dong‐Wook , Hong Jin Pyo 
Published: January 2023

AbstractAdvanced resistive random‐access memory (ReRAM) devices based on resistive switching (RS) have been intensely studied for future high‐density nonvolatile memory devices owing to their high scalability, simplified integration, fast operation, and ultralow power consumption. Among the recently considered active media, diverse carbon‐based media have emerged because of numerous benefits of simple chemical composition, desirable speed, and cost‐effective scalability. However, these media are still susceptible to undesirable reliability issues, including poor endurance and retention and uncontrollable operation voltage distribution. In this study, an oxynitride amorphous carbon active medium governed by appropriate nitrogen content during growth is introduced to facilitate high electrical stability, such as a distinct pulse endurance of more than 107 cycles, a high retention time of 105 s at 85 °C, and increased uniformity in the SET/RESET distribution with thermally robust RS stability even at a high annealing temperature of 400 °C. The findings are possibly the result of adapting an sp2–sp3 conversion nature assisted by the presence of pyridinic N or pyrrolic N as a substitution reaction.
A Universal Method for Extracting and Quantitatively Analyzing Bias‐Dependent Contact Resistance in Carbon‐Nanotube Thin‐Film Transistors
Authors: Liu Dexing , Wang Wanting , Zhang Jiaona , Ren Qinqi , Fan Lingchong , Wang Yarong , Zhang Yiming , Zhang Min 
Published: January 2023

AbstractA single‐device method is reported for extracting gate‐ and/or drain‐voltage‐dependent contact resistance of thin‐film transistors (TFTs). An extended transition‐voltage method is proposed and verified by experiments of all‐carbon‐nanotube thin‐film transistors (ACNT‐TFTs), which can extract gate‐ and/or drain‐voltage‐dependent contact resistance at source and drain independently. By measuring the output and transfer characteristics of a single‐device and extracting the basic parameters with the aid of mature Y‐function method, the contact resistance can be calculated directly. The results show that although a slight Schottky contact behavior is exhibited at very small drain voltages, good electrical contact characteristics can still be obtained in ACNT‐TFTs, exhibiting quasi‐Ohmic contacts. Compared with the existing single‐device methods, this method is suitable for both Ohmic and Schottky contact scenarios without requiring a complex iteration process, which greatly improves the universality and efficiency of the contact resistance extraction. Besides, this method reveals the physical essence of the complex interface contacts and enables researchers to quantitatively analyze the contact performance, not only for network carbon nanotube TFTs but also for the other emerging transistors.
Assessing the effects of cultivar and nitrogen application rate on seedling vigor and early‐season canopy growth in cotton
Authors: Chalise Devendra Prasad , Snider John L. , Virk Gurpreet 
Published: January 2023

AbstractCultivar variation in seed characteristics can affect seedling vigor, and nitrogen (N) availability influences early‐season growth in some instances. However, interactions between cultivar and N application rate for early‐season growth have received limited attention. Thus, the objectives of this research were to quantify the effects of cultivar, N‐application rate, and their interaction on early‐season growth, predict seedling vigor from plant morphology, and identify associations between early‐season crop growth rates (CGR) and other growth indices. To this end, a 2‐year (2018 and 2019) field study was conducted using six cotton cultivars having different seed characteristics and six different N‐application rates. In both years, all single‐plant and whole‐crop growth indices were affected by cultivar but not early‐season N‐application rates. A function was developed that was strongly predictive (R2 = 0.78) of seedling dry weight and utilized only plant height and mainstem node assessments. Leaf area index was a strong and consistent predictor of early‐season CGR, whereas net assimilation rate was only associated with CGR in one of the 2 years. Thus, it is concluded that of the two factors assessed in the current study, cultivar is the dominant driver of seedling vigor up to 35 days after planting. Additionally, leaf area development is a more consistent driver of early‐season CGR than average assimilation rates of the canopy. In contrast, an application of N at planting did not affect seedling vigor or early‐season canopy growth in cotton.
Improve the interfacial properties of carbon fiber reinforced epoxy resin composites by maleimide‐modified waterborne polyurethane sizing agent
Authors: Li Chengsen , Gao Xueping , Zhu Bo , Yuan Xiaomin , Qiu Zhijie , Zhang Ye , Yan Shuhan 
Published: January 2023

AbstractThe N‐(4‐hydroxyphenyl) maleimide (4‐HPM) modified waterborne polyurethane emulsions (MWPU) were used as surface sizing agents to improve the interfacial adhesion between carbon fibers (CF) and epoxy resin matrix. Dynamic light scattering (DLS), transmission electron microscope (TEM), and thermogravimetric analysis (TGA) showed the particle size distribution, storage stability, and thermal stability of the modified MWPU. And the surface reactivity of CF increased significantly after sizing. The interfacial shear strength (IFSS) and the interlaminar shear strength (ILSS) of CFREs were tested, and the fracture morphology was observed. The result showed that a continuous and uniform sizing layer is formed on the surface of CF. In particular, the comprehensive performance and interfacial modification effect of the MWPU emulsion outperformed other samples when the 4‐HPM content was 1.0 wt%. Compared with unsized carbon fibers, the IFSS and ILSS are up to 71.30% and 30.81% higher, respectively.
A quantized set‐membership estimation‐based heading control method of unmanned surface vessels under unknown‐but‐bounded wave‐induced disturbances
Authors: Zhou Xianwen , Zhang Yilian , Chen Jianmin , Zheng Xiang 
Published: January 2023

AbstractThis paper is concerned with the heading tracking control problem for a network‐based unmanned surface vessel (USV) under wave‐induced disturbances. Considering the characteristics of the wave‐induced disturbances, the unknown‐but‐bounded (UBB) noise model is adopted. Meanwhile, signal quantization is taken into account due to the limited capacity of the communication channel. Based on these considerations, a novel set‐membership based control scheme is proposed, which consists of a set‐membership filter (SMF) and a set‐membership controller (SMC). In the proposed control scheme, the SMF is designed for providing an ellipsoidal estimation set for the USV at each sampling step, and then the SMC uses the estimation set for producing control input for the USV in order to track the reference. Sufficient conditions are derived for the considered USV system to be asymptotically stable and satisfy the modified set‐membership performance constraint. Simulation results verifies the effectiveness of the proposed control scheme.
EEG based personality prediction using genetic programming
Authors: Bhardwaj Harshit , Tomar Pradeep , Sakalle Aditi , Bhardwaj Arpit , Asthana Rishi , Vidyarthi Ankit 
Published: January 2023

AbstractThe reliable correlation between personality and brain signal ensures that inferences from cognitive processes can be achieved. This research aims primarily to predict one's personality using brain signals. On grounds of Psychology, the inference of personality in this work is performed on the basis of the Myers–Briggs Type Indicator (MBTI) personality inventory. Personality consists of different types of thinking, feeling and behavior patterns. EEG signals are produced when a person is exposed to situations or scenarios via visual information and experiences various emotions or sentiments. In this study, by evaluating brain waves while a person watches personality traits elicitation materials, the identification of the personality traits of an individual is done. The elicitation materials used for the collection of the dataset comprise approximately 50 videos with the pre‐defined personality of the dramatic personae and therefore, it is considered to be the ground truth for the experimental procedure of this work. For creating a dataset, sixty participants contributed and gave brain signals. The GP model with the proposed BSH crossover, known as the BSHGP model, is implemented. The maximum performance of the BSHGP model for a 10‐fold partition scheme is 84.34%.
Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review
Authors: Srhir Saoussane , Jaegler Anicia , Montoya‐Torres Jairo R. 
Published: January 2023

AbstractIndustry 4.0 technologies are transforming supply chain management from a linear model to what is known as supply chain 4.0, where operations are integrated, and flows stream in multiple directions. The study aims to explore the attributes of Industry 4.0 technologies and their impact to drive sustainability values. The findings were generated after a systematic literature review of 71 articles on various sustainability dimensions and multiple Industry 4.0 technologies. The study provides a review of the most studied technologies in the sustainable supply chain context and categorizes their attributes as well as their relevance to sustainability. The results show that advances in technologies such as Blockchain and Internet of Things have increased the potential for supply chains to reach sustainability values.The study expands the existing literature and encourages businesses and the scientific community to investigate the power of Industry 4.0 technologies for sustainability.It presents limitations and directions for future research.
Evaluation of strategies to manage risks in smart, sustainable agri‐logistics sector: A Bayesian‐based group decision‐making approach
Authors: Gupta Himanshu , Kharub Manjeet , Shreshth Kumar , Kumar Ashwani , Huisingh Donald , Kumar Anil 
Published: January 2023

AbstractThe agriculture industry is one of India's largest and most important economic contributors. This is vital to the Indian economy since it contributes around 18% to the GDP and employs over 60% of the labour force. Due to the nature of the goods, however, this sector confronts many challenges. An effective agri‐logistics network can be a viable solution, but the sector must be prepared to overcome various risks. Therefore, this study aimed to identify potential risks to the smart, sustainable agri‐logistics industry and strategies for mitigating those risks. Bayesian Best Worst Method (BBWM) was used to prioritise the identified risks and the mitigating strategies. Study results indicate that by obtaining the highest ratings, technological (0.351), social (0.187), and individual (0.169) are the dominating risks to the agri‐logistics sector. Further, it was discovered that combining multiple strategies is more effective than any one strategy alone in reducing the identified risks.
OCT utilization: Summary statistics from the LightLab clinical initiative
Authors: Raja Aishwarya , Osborn Eric A. , Bergmark Brian A. , Croce Kevin D. , Poulin Marie‐France , Tamez Hector , West Nick , Buccola Jana , Meinen Jennifer , Secemsky Eric A. ,   the LightLab Clinical Initiative Investigators
Published: January 2023

AbstractObjectivesThe study describes the evolution of optical coherence tomography (OCT) adoption and performance during percutaneous coronary intervention (PCI) following implementation of a standardized LightLab (LL) workflow.BackgroundThe purpose of the LL Clinical Initiative was to evaluate the impact of a standardized workflow on physician efficiency, decision making, and image quality.MethodsThe LL Clinical Initiative is a multicenter, prospective, observational clinical program. Data were collected from 48 physicians at 17 U.S. centers from 01/21/19 to 06/08/21. The study included 401 OCT‐guided PCIs during the baseline phase and 1898 during the LL workflow phases. The baseline phase consisted of physicians utilizing OCT at their discretion. After completing the baseline phase, the workflow progressed through multiple phases culminating in the expansion phase, which focused on addressing greater procedural complexity. The LL workflow utilized OCT to assess plaque Morphology, lesion Length, and vessel Diameter before PCI, and optimized results by treating Medial edge dissection, stent mal‐Apposition, and stent under‐eXpansion (MLD MAX). High‐level summary statistics were generated to elucidate trends.ResultsAfter program implementation, there was a rise in the number of PCIs where the LL workflow was utilized compared to the baseline phase (68% during the expansion phase vs. 41% at baseline; p for trend <0.0001). Adoption of the LL workflow was associated with progressively greater procedural and lesion complexity when OCT was performed pre‐ and post‐PCI (87% vs. 52%, p < 0.0001; 55% vs. 37%, p < 0.0001, respectively). In addition, the quality of OCT imaging obtained improved after LL workflow introduction, with over 95% of pre‐ and post‐PCI pullback quality considered usable during the expansion phase. Finally, there was a reduction in time spent on OCT interpretation, both pre‐PCI (4.6 min vs. 7.5 min, p < 0.0001) and post‐PCI (2.9 min vs. 5.3 min, p < 0.0001).ConclusionsAfter completion of the standardized OCT‐guided workflow, there was greater uptake of OCT imaging, incorporation in more complex procedures, procedural efficiency, and image quality.
Effect of Film Thickness on the Kinetics of Lithium Insertion in LiMn2O4 Films Made by Multilayer Pulsed Laser Deposition for Thin‐Film All‐Solid‐State Battery Cathode Materials**
Authors: Erinmwingbovo Collins , Siller Valerie , Nuñez Marc , Trócoli Rafael , Brogioli Doriano , Tarancón Albert , Morata Alejandro , La Mantia Fabio 
Published: January 2023

AbstractMulti‐layer pulsed laser deposition is a promising technique for producing
thin films for solid‐state batteries. In this work, thin films are deposited with different numbers of pulses, leading to different thicknesses and grain sizes. We investigated “in operando” the kinetics of the
transfer into
films by means of dynamic impedance spectroscopy. This technique allowed us to resolve the contributions of the reaction mechanism and of the transport phenomena, as well as to quantify their equivalent resistances. Surprisingly, with increasing film thickness, the charge transfer resistance increases while the apparent diffusion coefficient of lithium increases, leading to a decrease of the mass transport resistance. It appears that both these effects are related to the dimension of the crystals in the
thin films. These results provide new insights for an optimal tuning of the materials’ preparation in view of maximizing their electrochemical performances.