bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alveolar macrophages: Achilles’ heel of SARS-CoV-2 infection
Authors: Wang Zhenfeng , Li Shunshun , Huang Bo 
Published: July 2022

AbstractThe coronavirus disease 2019 (COVID-19) pandemic has caused more than 6.3 million deaths to date. Despite great efforts to curb the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), vaccines and neutralizing antibodies are in the gloom due to persistent viral mutations and antiviral compounds face challenges of specificity and safety. In addition, vaccines are unable to treat already-infected individuals, and antiviral drugs cannot be used prophylactically. Therefore, exploration of unconventional strategies to curb the current pandemic is highly urgent. Alveolar macrophages (AMs) residing on the surface of alveoli are the first immune cells that dispose of alveoli-invading viruses. Our findings demonstrate that M1 AMs have an acidic endosomal pH, thus favoring SARS-CoV-2 to leave endosomes and release into the cytosol where the virus initiates replication; in contrast, M2 AMs have an increased endosomal pH, which dampens the viral escape and facilitates delivery of the virus for lysosomal degradation. In this review, we propose that AMs are the Achilles’ heel of SARS-CoV-2 infection and that modulation of the endosomal pH of AMs has the potential to eliminate invaded SARS-CoV-2; the same strategy might also be suitable for other lethal respiratory viruses.
Differentiation of osteosarcoma from osteomyelitis using microarchitectural analysis on panoramic radiographs
Authors: Jung Ji-Hun , Huh Kyung-Hoe , Yong Tae-Hoon , Kang Ju-Hee , Kim Jo-Eun , Yi Won-Jin , Heo Min-Suk , Lee Sam-Sun 
Published: July 2022

AbstractDiagnosing osteosarcoma (OS) is very challenging and OS is often misdiagnosed as osteomyelitis (OM) due to the nonspecificity of its symptoms upon initial presentation. This study investigated the possibility of detecting OS-induced trabecular bone changes on panoramic radiographs and differentiating OS from OM by analyzing fractal dimensions (FDs) and degrees of anisotropy (DAs). Panoramic radiographs of patients with histopathologically proven OS and OM of the jaw were obtained. A total of 23 patients with OS and 40 patients with OM were enrolled. To investigate whether there was a microarchitectural difference between OS lesions and normal trabecular areas in each patient, two regions of interest (ROIs) were located on the CT images. Three microarchitectural parameters (box-counting FD, fast Fourier transform-based FD, and DA) were calculated. For both OS and OM, significant differences were found for all three microarchitectural parameters. Compared to normal trabecular bone, trabecular bone affected by OS and OM became isotropic and more complex. When comparing OS and OM, a statistically significant difference was found only in DA. Trabecular bones affected by OS became more isotropic than those affected by OM. Microarchitectural analysis, especially DA, could be useful for detecting OS-induced trabecular alterations and differentiating OS from OM.
Activation of CD44/PAK1/AKT signaling promotes resistance to FGFR1 inhibition in squamous-cell lung cancer
Authors: Elakad Omar , Häupl Björn , Labitzky Vera , Yao Sha , Küffer Stefan , von Hammerstein-Equord Alexander , Danner Bernhard C. , Jücker Manfred , Urlaub Henning , Lange Tobias , Ströbel Philipp , Oellerich Thomas , Bohnenberger Hanibal 
Published: July 2022

AbstractLung cancer is the leading cause of cancer-related deaths worldwide. Fibroblast growth factor receptor 1 (FGFR1) gene amplification is one of the most prominent and potentially targetable genetic alterations in squamous-cell lung cancer (SQCLC). Highly selective tyrosine kinase inhibitors have been developed to target FGFR1; however, resistance mechanisms originally existing in patients or acquired during treatment have so far led to limited treatment efficiency in clinical trials. In this study we performed a wide-scale phosphoproteomic mass-spectrometry analysis to explore signaling pathways that lead to resistance toward FGFR1 inhibition in lung cancer cells that display (i) intrinsic, (ii) pharmacologically induced and (iii) mutationally induced resistance. Additionally, we correlated AKT activation to CD44 expression in 175 lung cancer patient samples. We identified a CD44/PAK1/AKT signaling axis as a commonly occurring resistance mechanism to FGFR1 inhibition in lung cancer. Co-inhibition of AKT/FGFR1, CD44/FGFR1 or PAK1/FGFR1 sensitized ‘intrinsically resistant’ and ‘induced-resistant’ lung-cancer cells synergetically to FGFR1 inhibition. Furthermore, strong CD44 expression was significantly correlated with AKT activation in SQCLC patients. Collectively, our phosphoproteomic analysis of lung-cancer cells resistant to FGFR1 inhibitor provides a large data library of resistance-associated phosphorylation patterns and leads to the proposal of a common resistance pathway comprising CD44, PAK1 and AKT activation. Examination of CD44/PAK1/AKT activation could help to predict response to FGFR1 inhibition. Moreover, combination between AKT and FGFR1 inhibitors may pave the way for an effective therapy of patients with treatment-resistant FGFR1-dependent lung cancer.
Vibration detection method for core loosening degree of high‐voltage direct current converter valve saturable reactor based on variational mode decomposition‐symmetrized dot pattern and image matching
Authors: Liu Yunpeng , Lai Tingyu , Liu Jiashuo , Wei Xiaoguang , Pei Shaotong , Wang Chenghao , Zhang Xiaolong 
Published: July 2022

AbstractSaturable reactor is the key equipment in converter valves; it is important to evaluate the core condition. In this paper, a recognition model of saturable reactor core loosening based on variational mode decomposition (VMD)‐symmetrized dot pattern (SDP) feature fusion images and scale‐invariant feature transform (SIFT) was proposed. Firstly, the saturable reactor vibration test under high frequency pulse excitation was carried out, and the vibration signals in different core loosening degrees were collected. Secondly, the VMD algorithm was used to decompose the broadband vibration signal into multiple narrowband functions, which were used to reflect the characteristics of each frequency band. Thirdly, each function and the original signal were transformed by SDP, the generated spiral arms were fused into a new image, and the typical templates in different loosening degrees were selected. Finally, the improved SIFT algorithm was used to obtain the matching results between test sets and templates. The results show that the recognition accuracy of the proposed model for core loosening is 97.5%, which is better than traditional algorithms. It can find the core loosening defect early and avoid further failures such as water pipe break and discharge, which can provide an important basis for saturable reactor monitoring.
Incidental Primary Intrathoracic Goiter: Dual-Isotope Scintigraphy and Early-MIBI SPECT/CT
Authors: Zamora E. , Ghandili S. , Zamora M. A. , Chun K. J. 
Published: July 2022

AbstractPrimary intrathoracic goiter is an uncommon congenital entity resulting from over decent ectopic thyroid tissue. As compared with secondary intrathoracic goiter, primary entities are discrete from orthotopic thyroid tissue and may lead to potentially serious complications such as malignancy and shortness of breath. Intrathoracic goiters have been described as showing mild or absent uptake of 99mTc-pertechnetate on planar scintigraphy. We present an incidental primary intrathoracic goiter found in a patient undergoing evaluation with multimodal scintigraphy and early 99mTc-sestamibi single-photon emission computed tomography/computed tomography (SPECT/CT) for localization of parathyroid adenomas. The mass was inconspicuous on TcO4- scintigraphy but methoxyisobutylisonitrile-avid on early planar and SPECT/CT.
The Value of Radionuclide Cisternography in a Case of Spontaneous Cerebrospinal Leak
Authors: Barral Carlyle Marques , Lemos Thaís Ribeiro , Nunes Shirleide Santos , Sanches Sandra Monetti Dumont 
Published: July 2022

AbstractSpontaneous intracranial hypotension (SIH) is an infrequent cause of daily persistent orthostatic headache with an incidence of 5 to 100,000 persons/year. In very rare cases, no cause can be found and these conditions may be called spontaneous cerebrospinal fluid leak (CSFL). Radionuclide cisternography (RNC) has played useful role in detecting CSFL. Although RNC has been used in many cases, few have been reported in which CSFL out of the subarachnoid space was detected. A case of CSFL confirmed by RNC direct findings is reported. SIH is difficult to diagnose and 95% of patients may initially receive an incorrect diagnosis. RNC has been shown to be fairly characteristic in SIH patients.
Diffusion Tensor Imaging in Spinal Cord Injury: A Review
Authors: Kauthankar Akshada Atchut , Jaseemudheen M.M. 
Published: July 2022

AbstractMagnetic resonance diffusion tensor imaging (DTI) is a recent technique that can measure the direction and magnitude of diffusion of water. It is widely being utilized to evaluate several brain and spinal cord pathologies. The objective of this review is to evaluate the importance of the DTI in patients with spinal cord injury (SCI). It aims to review various articles on DTI SCI and includes both animal and human studies. This will help to describe the current status of the clinical applications of DTI and show its potential as a helpful instrument in clinical practice. The PubMed database was searched for articles relating to the application of DTI in SCI. Relevant articles were also used for the review. A variety of DTI parameters have been studied in various articles. The standard parameters are fractional anisotropy (FA) values, apparent diffusion coefficient (ADC) values, radial diffusivity values, and axial diffusivity values, followed by tractography. FA and ADC values are the most commonly used parameters. The findings observed in most of the studies are increased FA and reduced ADC values following injury to the spinal cord. DTI data metrics possess the potential to become a potent clinical tool in patients with SCI. It is helpful for diagnosis, prognosis, treatment planning, as well as to evaluate the recovery. Nonetheless, to overcome the limitations and determine its reliability clinically, more research has to be performed.
Refractory Deep Vein Thrombosis Caused by Femoral Vein Stenosis Due to Suture-Medicated Vascular Closure Device
Authors: Ikenouchi Takashi , Takigawa Masateru , Goya Masahiko , Kudo Toshifumi , Sasano Tetsuo 
Published: July 2022

AbstractVascular closing devices (VCDs) are widely used to replace manual compression at the femoral puncture site after catheter insertion. Perclose ProGlide is a suture-medicated VCD that is indicated for both arterial and venous access sites. However, there are few reports of complications related to venous use of ProGlide. Here, we describe a case of femoral vein stenosis caused by a suture-medicated VCD after an ablation procedure, which developed refractory deep vein thrombosis even after surgical vascular repair.
Transmission of gender ideology through family discourse
Authors: Imamura Makiko , Dow Elizabeth , Uehara Naoko 
Published: July 2022

Abstract
Informed by the social cognitive theory of co-orientation, this qualitative study explored the impact of family and social discourse on women’s motherhood and professional identities through semi-structured, in-depth interviews with 13 Japanese women born in the decade before and after the Japanese Equal Employment Opportunity Law was established in 1986. Overall, the interviews revealed two lifestyle categories – semi-traditional and modern. Specifically, the interviews revealed that women in the semi-traditional and modern categories enacted some form of change in their gender ideology and that women in the modern category experienced more dialogue-based communication and equal power dynamic with their husbands compared to women in the semi-traditional category in which they experienced one-way communication and a greater power differential with husbands. Informed by the literature on cultural values, the findings from this study conclude that Japanese women’s empowerment is built not by resistance to oppression but by conquering the over-taxation.
Effects of defect concentration on the magnetic and thermodynamic properties of an Ising-type polyhedral chain with defects
Authors: Yang Min , Wang Wei , Wang Feng , Li Bo-Chen , Lv Jia-Qi 
Published: July 2022

Abstract
In this paper, the magnetic and thermodynamic properties of an Ising-type polyhedral chain with mixed spin-5/2 and spin-1 were studied in detail by the Monte Carlo method. The system can display multiple saturation values and abundant profiles of magnetization induced by different physical parameters during the change of temperature. In addition, we also obtained interesting behaviors of susceptibility, internal energy, specific heat, magnetic entropy, magnetization plateaus, depending on the competition among various physical parameters. Finally, multi-loop hysteresis behaviors including triple-loop and quintuple-loop were observed.
Analysis of d + 6,7,9,11Li elastic scattering using different densities and calculation procedures
Authors: Ibraheem Awad A , Aygun M , Alsaif N A M , Alghamdi A , Hamada Sh 
Published: July 2022

Abstract
The elastic scattering differential cross-sections of d + 6,7,9,11Li systems have been reanalyzed using three different calculation methods and four different density distributions for the deuteron nucleus. The phenomenological optical model and the microscopic optical model incorporating the CDM3Y6 interaction with and without the inclusion of the rearrangement term have been used as the calculation models. A good agreement between the theoretical results and the experimental data has been achieved. The performed analyses emphasize the weak binding nature of the 11Li isotope.
Ab-initio study of half-metallic ferromagnetism and transport characteristics of MgV2S/Se4 spinels for spintronics and thermoelectric applications
Authors: Ramzan Rashid , Noor N A , Iqbal M Waqas , Asghar Mazia , Khan Aslam , Dahshan A , Alqahtani A 
Published: July 2022

Abstract
Understanding ferromagnetism and thermoelectric behavior are crucial in spintronics and thermoelectric device applications. Using density functional theory-based WIEN2k code, we have examined the physical properties of vanadium-based MgV2S/Se4 spinels. The calculated negative formation energies and positive phonon frequency indicate the stability of the studied system. The lowest energy ground state has been predicted to be a ferromagnetic phase. The calculated electronic band structure and density of states show that these materials are half-metallic ferromagnetic. The existence of the ferromagnetic phase is described using the pd hybridization, double exchange interaction model by computing the exchange energy and constants. In addition, the quantum coupling of electrons is caused by the shift of the magnetic moment from the V site to non-magnetic sites (S/Se, Mg). Finally, electronic transport parameters like the Seebeck coefficient, electric and thermal conductivity, and power factor are also determined.
Bidirectional Siamese correlation analysis method for enhancing the detection of SSVEPs
Authors: Zhang Xinyi , Qiu Shuang , Zhang Yukun , Wang Kangning , Wang Yijun , He Huiguang 
Published: July 2022

Abstract

Objective. Steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) have attracted increasing attention due to their high information transfer rate. To improve the performance of SSVEP detection, we propose a bidirectional Siamese correlation analysis (bi-SiamCA) model. Approach. In this model, an long short-term memory-based Siamese architecture is designed to measure the similarity between the SSVEP signal and the template in each frequency and obtain the probability that the SSVEP signal belongs to each frequency. Additionally, a maximize agreement module with a designed contrastive loss is adopted in the Siamese architecture to increase the similarity between the SSVEP signal and the reference signal in the same frequency. Moreover, a two-way signal processing mechanism is built to effectively integrate complementary information from two temporal directions of the input signals. Our model uses raw SSVEPs as inputs and can be trained end-to-end. Main results. Experimental results on a 40-class dataset and a 12-class dataset indicate that bi-SiamCA can significantly improve the classification accuracy compared with the prominent traditional and deep learning methods, especially under short data lengths. Feature visualizations show that the similarity between the SSVEP signal and the reference signal in the same frequency gradually improved in our model. Conclusion. The proposed bi-SiamCA model enhances the performance of SSVEP detection and outperforms the compared methods. Significance. Due to its high decoding accuracy under short signals, our approach has great potential to implement a high-speed SSVEP-based BCI.
A Framework of Distributed Solar Blockchain as a Service
Authors: Liang Hao , Yu Pengfei , Zhao Xiaoran , Fu Da 
Published: July 2022

Abstract
Blockchain was combined with several other information technologies and computing concepts to create modern cryptocurrencies protecting through cryptographic mechanisms instead of a central repository or authority. A Framework of distributed solar Blockchain Service (DSBaaS) platform as a Service is designed to manage distributed solar energy system by adopting Blockchain as a Service (BaaS) platform. Base on the ability operation and maintenance features of BaaS, it is available to solve operational management, safety management, material management, project management, financial transactions management, transaction settlement and other related multi-agent transaction pain points. Providing new business models for implementing distributed solar energy production, transmission and utilization of effective coordination and management, it is a key component to forming clean, efficient, flexible and intelligent distributed solar energy system.
Machine Learning Road Recognition Based on Wavelet Decomposition
Authors: Fu Xiaoyi , Zhao Yuzhuang 
Published: July 2022

Abstract
Driving road conditions have a great impact on vehicles and personnel. According to road conditions, reasonable adjustment of components such as suspension and electronic control unit parameters can effectively improve ride comfort and handling stability. This paper studies the method of road Recognition from the perspective of machine learning, and compares the Recognition effect of BP neural network and SVM. Using wavelet decomposition, a time-frequency analysis method, the original signal is decomposed into different frequency band signals, and the difference between different road surfaces can be amplified. The commonly used statistics are screened by Fisher’s criterion to obtain excellent data of each dimension of the sample. The method can achieve an Recognition accuracy of nearly 100% in the simulation experiment. In the vehicle experiment, the four kinds of road surfaces are well distinguished, and the comprehensive accuracy is about 82%.
Fault diagnosis of charging facilities based on improved RNN
Authors: Zang Binbin , Gao Hui , Yang Xinyue , Xu Shengtao 
Published: July 2022

Abstract
To ensure the safe use of electric vehicles in the charging process is an important issue for the electric vehicle industry to overcome. Therefore, this paper proposes an improved RNN neural network fault diagnosis model for charging facilities. Firstly, typical fault types are extracted based on fault analysis of charging facilities. Then, the Whale optimization algorithm (WOA) is used to initialize the RNN network parameters and form WOA-RNN network model. Finally, the improved model is used to analyse the fault, and the comparison of the fault diagnosis accuracy before and after the improvement shows that the proposed algorithm has a high accuracy, and the feasibility of this method is proved.
Fault Diagnosis Algorithms of Distribution Network Based on Convolutional Neural Network
Authors: Ji Qingqing , Hu Zhijian , Liu Xiaoli 
Published: July 2022

Abstract
Fault diagnosis is very important for power restoration. This paper proposed a basic network architecture design, using a simplified residual connection technology, using Focal Loss as the objective function for supervised training, adding a BatchNormalization layer to the network for optimization, reducing parameters based on ShuffleNet network, and improving accuracy based on attention mechanism, a process that can automatically determine the appropriate CNN architecture for fault diagnosis problems. The CNN used in this paper takes the current information sampled from the fault recorder of each node in the distribution network as the input directly, and does not need to use digital signal processing methods to extract frequency domain features and manually select features. The proposed algorithm is evaluated on the IEEE 34-node system, and the fault classification accuracy of more than 99% is achieved on different lines.
An energy storage location method with comprehensive sensitivity of timing voltage
Authors: Wu Wei 
Published: July 2022

Abstract
The voltage problem caused by a large number of distributed generation in distribution network is becoming more and more obvious. Energy storage system has flexible four quadrant power regulation ability, which is an effective means of voltage management in distribution network. In the energy storage location selection of active distribution network, a weight coefficient selection method considering the load growth direction is proposed to solve the problem that the TOPSIS (the Technique for Order Preference by Similarity to Ideal Solution) is difficult to select the weight coefficient. Combined with the voltage / active and reactive power sensitivity matrix, the comprehensive sensitivity index is established. Then, the sensitivity index between two nodes in the traditional single time period is improved, and the voltage offset weight factor is added to establish the comprehensive sensitivity index of timing voltage. The indicator can be applied even if the size of the distribution network changes. The example results show that this method fully considers various characteristics of active distribution network and is more reasonable and effective than the traditional sensitivity method.
Corrosion resistance behavior of Ti/TiN multilayer coatings deposited on Ti6Al4V substrates
Authors: Yu WX , Tian YH , Chen SS , Lin LY , Hu N 
Published: July 2022

Abstract
DC magnetron sputtering was used to deposit titanium (Ti), titanium nitride (TiN), and Ti/TiN multilayer coatings on Ti6Al4V alloy substrates. The multilayer coatings have 1, 4, 10, 16, 32 modulation periods respectively. SEM were used to analyze the surface and cross-sectional micro-features of the coatings. Electrochemical tests were carried out 3.5 wt% NaCl solution at room temperature. The resistance of the coating reaches the maximum value, which is 6 times that of the substrate, 2.4 times that of a single layer of titanium, and 5 times that of titanium nitride. With the increase of the modulation period, the charge transfer resistance of the Ti/TiN multilayer coatings increase firstly and then decreases, and charge transfer resistance reaches the maximum at the period of 4, which is closely related to the surface morphology.