bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of continuity of care on risk for major osteoporotic fracture in patients with new onset rheumatoid arthritis
Authors: Kim Seung Hoon , Kim Hyunkyu , Jeong Sung Hoon , Jang Suk-Yong , Park Eun-Cheol 
Published: June 2022

AbstractThere is a clear relationship between rheumatoid arthritis (RA) and major osteoporotic fracture (MOF), although there is limited evidence on the effect of continuity of care (COC) on MOF in these patients. We investigated the association between COC and risk of MOF, including fractures of the lumbar spine and pelvis, forearm, and hip, among newly diagnosed RA patients aged ≥ 60 years. A total of 8715 incident RA patients from 2004 to 2010 were included from the Korean National Health Insurance Service-Senior cohort database. Participants were categorized into a good and bad COC group according to the COC index. The cumulative incidence of MOF was higher in RA patients with bad than in those with good COC (p < 0.001). The incidence rates of MOF were 4439 and 3275 cases per 100,000 person-years in patients with bad and good COC, respectively. RA patients with bad COC had an increased incidence of overall MOF (adjusted hazard ratio, 1.32; 95% confidence interval, 1.14–1.53), with the highest increase in risk being that of forearm fracture. An increased MOF risk in patients with bad COC was predominantly observed in females. This study suggested that interventions that can improve COC in patients with RA should be considered.
Nintedanib regulates intestinal smooth muscle hyperplasia and phenotype in vitro and in TNBS colitis in vivo
Authors: Kataria Jay , Kerr Jack , Lourenssen Sandra R. , Blennerhassett Michael G. 
Published: June 2022

AbstractChronic inflammation of the human intestine in Crohn’s disease (CD) causes bowel wall thickening, which typically progresses to stricturing and a recurrent need for surgery. Current therapies have limited success and CD remains idiopathic and incurable. Recent evidence shows a key role of intestinal smooth muscle cell (ISMC) hyperplasia in stricturing, which is not targeted by current anti-inflammatory therapeutics. However, progression of idiopathic pulmonary fibrosis, resembling CD in pathophysiology, is controlled by the tyrosine kinase inhibitors nintedanib (NIN) or pirfenidone, and we investigated these drugs for their effect on ISMC. In a culture model of rat ISMC, NIN inhibited serum- and PDGF-BB-stimulated growth and cell migration, and promoted the differentiated phenotype, while increasing secreted collagen. NIN did not affect signaling through PDGF-Rβ or NFκB but did inhibit cytokine-induced expression of the pro-inflammatory cytokines IL-1β and TNFα, supporting a transcriptional level of control. In TNBS-induced colitis in mice, which resembles CD, NIN decreased ISMC hyperplasia as well as expression of TNFα and IL-1β, without effect in control animals. NIN also inhibited growth of human ISMC in response to human serum or PDGF-BB, which further establishes a broad range of actions of NIN that support further trial in human IBD.
Ultra-broadband, wide-angle plus-shape slotted metamaterial solar absorber design with absorption forecasting using machine learning
Authors: Patel Shobhit K. , Parmar Juveriya , Katkar Vijay 
Published: June 2022

AbstractEnergy utilization is increasing day by day and there is a need for highly efficient renewable energy sources. Solar absorbers with high efficiency can be used to meet these growing energy demands by transforming solar energy into thermal energy. Solar absorber design with highly efficient and Ultra-broadband response covering visible, ultraviolet, and near-infrared spectrum is proposed in this paper. The absorption response is observed for three metamaterial designs (plus-shape slotted design, plus-shape design, and square-shape design) and one optimized design is used for solar absorber design based on its high efficiency. The design results are compared with AM 1.5 spectral irradiance response. The electric field response of the plus-shape slotted metamaterial design is also presented which matches well with the absorption results of different solar spectrum regions. The results proved that the attained absorption response showing wide angle of incidence. Machine learning is also used to examine the design data in order to forecast absorption for various substrate thickness, metasurface thickness, and incidence angles. Regression and forecasting simulations based on machine learning are used to try to anticipate absorber behaviour at forthcoming and intermediate wavelengths. Simulation results prove that Machine Learning based methods can lessen the obligatory simulation resources, time and can be used as an effective tool while designing the absorber. The proposed highly efficient, wide-angle, ultra-broadband solar absorber design with its behavior prediction capability using machine learning can be utilized for solar thermal energy harvesting applications.
Basal cell carcinoma of the scalp shows distinct features from the face in Asians
Authors: Kim Minsu , Kim Jee-Woo , Shin Jung-Won , Na Jung-Im , Huh Chang-Hun 
Published: June 2022

AbstractBasal cell carcinoma (BCC) affecting different sites has been reported to have different clinicopathological features. In previous studies, the scalp was commonly classified to the head and neck region. However, the scalp has distinct characteristics from those of other parts of the skin. We retrospectively reviewed the medical records of patients who underwent surgical treatment for BCC. A total of 734 lesions were examined, and 13.2% originated from the scalp. The nodular type was the most common histologic subtype; however, the proportion of the superficial type was significantly higher than that of facial BCC (p < 0.001). Compared with facial BCC, younger age (p = 0.046) and larger tumor size (p < 0.001) were observed in scalp BCC. These characteristics were similar to those of truncal BCC in that they demonstrated a higher proportion of the superficial type (p < 0.001), younger age (p = 0.001), and larger tumor diameter (p < 0.001) compared with BCC in the head and neck region. Scalp BCC and truncal BCC were not significantly different in terms of age (p = 0.052) and tumor size (p = 0.230). In conclusion, despite the anatomical proximity, features of scalp BCC were similar to those of truncal lesions compared with facial lesions. Scalp BCC might be a separate entity from facial BCC.
Prognostic implications of structural heart disease and premature ventricular contractions in recovery of exercise
Authors: Lindow Thomas , Ekström Magnus , Brudin Lars , Hedman Kristofer , Ugander Martin 
Published: June 2022

AbstractPremature ventricular contractions (PVCs) during recovery of exercise stress testing are associated with increased cardiovascular mortality, but the cause remains unknown. We aimed to evaluate the association of PVCs during recovery with echocardiographic abnormalities, and their combined prognostic performance. Echocardiographic abnormalities [reduced left ventricular (LV) ejection fraction, valvular heart disease, LV dilatation, LV hypertrophy, or increased filling pressures] and PVCs during recovery were identified among patients having undergone both echocardiography and exercise stress test. Among included patients (n = 3106, age 59 ± 16 years, 55% males), PVCs during recovery were found in 1327 (43%) patients, among which the prevalence of echocardiographic abnormalities was increased (58% vs. 43%, p < 0.001). Overall, PVCs during recovery were associated with increased cardiovascular mortality (219 total events, 7.9 [5.4–11.1] years follow-up; adjusted hazard ratio (HR [95% confidence interval]) 1.6 [1.2–2.1], p < 0.001). When analyzed in combination with either presence or absence of echocardiographic abnormalities, PVCs during recovery were associated with increased risk when such were present (HR 3.3 [1.9–5.5], p < 0.001) but not when absent (HR 1.5 [0.8–2.8], p = 0.22), in reference to those with neither. Our findings provide mechanistic insights to the increased CV risk reported in patients with PVCs during recovery.
Effect of add-on hydroxychloroquine therapy on serum proinflammatory cytokine levels in patients with systemic lupus erythematosus
Authors: Wakiya Risa , Ueeda Kiyo , Nakashima Shusaku , Shimada Hiromi , Kameda Tomohiro , Mansour Mai Mahmoud Fahmy , Kato Mikiya , Miyagi Taichi , Sugihara Koichi , Mizusaki Mao , Mino Rina , Kadowaki Norimitsu , Dobashi Hiroaki 
Published: June 2022

AbstractWe investigated the effect of hydroxychloroquine (HCQ) as an add-on treatment to immunosuppressants on the expression of proinflammatory cytokines in patients with systemic lupus erythematosus. Serum levels of tumor necrosis factor (TNF)-α, interleukin (IL)-2, IL-6, IL-8, vascular endothelial growth factor (VEGF)-A, monocyte chemotactic protein-1 (MCP-1), macrophage inflammatory protein-1α (MIP-1α), and interleukin 1 receptor antagonist (IL-1ra) were measured immediately before and 3 months after treatment with oral HCQ. Among the 51 patients enrolled in the study, HCQ treatment led to significantly reduced serum levels of TNF-α, IL-6, IL-8, VEGF-A, IL-1ra, and IL-2 (p < 0.0001; p = 0.0006; p = 0.0460, p = 0.0177; p < 0.0001; p = 0.0282, respectively) and to decreased (but not significantly) levels of MIP-1α (p = 0.0746). No significant changes were observed in the serum MCP-1 levels before and after HCQ administration (p = 0.1402). Our results suggest that an add-on HCQ treatment modulates the expression of proinflammatory cytokines even in systemic lupus erythematosus patients with low disease activity.
Efficient discrimination against RNA-containing primers by human DNA polymerase ε
Authors: Lisova Alisa E. , Baranovskiy Andrey G. , Morstadt Lucia M. , Babayeva Nigar D. , Tahirov Tahir H. 
Published: June 2022

AbstractDNA polymerase ε (Polε) performs bulk synthesis of DNA on the leading strand during genome replication. Polε binds two substrates, a template:primer and dNTP, and catalyzes a covalent attachment of dNMP to the 3' end of the primer. Previous studies have shown that Polε easily inserts and extends ribonucleotides, which may promote mutagenesis and genome instability. In this work, we analyzed the mechanisms of discrimination against RNA-containing primers by human Polε (hPolε), performing binding and kinetic studies at near-physiological salt concentration. Pre-steady-state kinetic studies revealed that hPolεCD extends RNA primers with approximately 3300-fold lower efficiency in comparison to DNA, and addition of one dNMP to the 3′ end of an RNA primer increases activity 36-fold. Likewise, addition of one rNMP to the 3′ end of a DNA primer reduces activity 38-fold. The binding studies conducted in the presence of 0.15 M NaCl revealed that human hPolεCD has low affinity to DNA (KD of 1.5 µM). Strikingly, a change of salt concentration from 0.1 M to 0.15 M reduces the stability of the hPolεCD/DNA complex by 25-fold. Upon template:primer binding, the incoming dNTP and magnesium ions make hPolε discriminative against RNA and chimeric RNA–DNA primers. In summary, our studies revealed that hPolε discrimination against RNA-containing primers is based on the following factors: incoming dNTP, magnesium ions, a steric gate for the primer 2′OH, and the rigid template:primer binding pocket near the catalytic site. In addition, we showed the importance of conducting functional studies at near-physiological salt concentration.
Floquet engineering of Kitaev quantum magnets
Authors: Kumar Umesh , Banerjee Saikat , Lin Shi-Zeng 
Published: June 2022

AbstractIn recent years, there has been an intense search for materials realizing the Kitaev quantum spin liquid model. A number of edge-shared compounds with strong spin-orbit coupling, such as RuCl3 and iridates, have been proposed to realize this model. Nevertheless, an effective spin Hamiltonian derived from the microscopic model relevant to these compounds generally contains terms that are antagonistic toward the quantum spin liquid. This is consistent with the fact that the zero magnetic field ground state of these materials is generally magnetically ordered. It is a pressing issue to identify protocols to drive the system to the limit of the Kitaev quantum spin model. In this work, we propose Floquet engineering of these Kitaev quantum magnets by coupling materials to a circularly polarized laser. We demonstrate that all the magnetic interactions can be tuned in situ by the amplitude and frequency of the laser, hence providing a route to stabilize the Kitaev quantum spin liquid phase.
Integrating sustainability into climate finance by quantifying the co-benefits and market impact of carbon projects
Authors: Lou Jiehong , Hultman Nathan , Patwardhan Anand , Qiu Yueming Lucy 
Published: June 2022

AbstractHigh-quality development rooted in low-carbon growth, new jobs, energy security, and environmental quality will be a critical part of achieving multiple sustainable development goals (SDGs). Doing this will require the dramatic scaling up of new climate finance while maximizing co-benefits across multiple outcomes, including for local communities. We developed a comprehensive methodology to identify different levels of local co-benefits, followed by an econometric analysis to assess how the market values co-benefits through the clean development mechanism. We find that projects with a likelihood of delivering the highest co-benefits received a 30.4% higher price compared to projects with the lowest co-benefits. Project quality indicators such as the Gold Standard, in conveying higher likelihood of co-benefits, conferred a significant price premium between 6.6% and 29%. Our methodology of aligning co-benefits with SDGs and the results of co-benefits valued by the markets indicate approaches to bolstering social and political support for climate finance.
Secrecy performance of two‐way integrated satellite terrestrial relay networks with multiple users
Authors: Yang Dongmei , Ren Baoquan , Li Hongjun , Wang Xueling , Guo Kefeng 
Published: June 2022

AbstractThis letter studies the secrecy performance for a two‐way integrated satellite terrestrial relay networks. Particularly, multiple legitimate users along with maximal user scheduling scheme are applied in the considered networks. In addition, the closed‐form expression for the secrecy outage probability of the considered two‐way networks is obtained. Moreover, to investigate the impacts of the system parameters on the secrecy performance in high signal‐to‐noise ratio regime, the asymptotic analysis for the secrecy outage probability is further derived. Finally, Monte Carlo simulation results are provided to prove the theoretical results.
Dual‐interference filtering method for the main lobe based on polarimetric monopulse radar
Authors: Lu Dongwei , Wang Yufei , Ma Jiazhi , Feng Dejun 
Published: June 2022

AbstractIn the field of target tracking, monopulse radar is widely used to obtain the positions of radar targets. The achieved angle measurement performance is greatly weakened when barrage interference is contained in the main lobe of the receiving antenna. Interference signals can be easily filtered by the conventional polarization filtering (PF) method. However, the conventional PF method is unable to address situations in which two barrage interferences with different polarization states are contained in the main lobe, because the polarizations of both interferences become complex. To filter dual‐interference sources in the main lobe, a novel polarimetric filtering method is proposed in this letter. This novel method is based on polarization selection, which is implemented to suppress one of the dual‐interference sources. The appropriate polarimetric parameters are first selected by a monopulse ratio constraint condition. Then, the spatial location of the other interference source can be measured. After searching the whole polarimetric domain, the spatial parameters of the two interference sources can be acquired by the polarimetric monopulse system. Finally, the waveforms of the interference signals can also be estimated during the filtering process. The results of a microwave chamber experiment demonstrate that this novel filtering method is effective.
A new identification method of high voltage circuit breaker mechanical fault based on combined analysis of time‐reference‐distance and shape entropy algorithms
Authors: Liu Huilan , Xu Wenjie , Zhao Shutao , Wang Erxu , Liu Jiaomin , Peng Yonglong , Li Yabin 
Published: June 2022

AbstractThe vibration of high voltage circuit breakers is superimposed by the impact vibration generated by the action of its components. When the operating states of the components change, the vibration waveform will be distorted. To extract the state information contained in the vibration signals, in this paper we propose a new method for the mechanical fault identification of circuit breakers based on the joint analysis of time‐frequency domain features. Firstly, a new time‐reference‐distance algorithm (TRD) which employs feature space to grab information is proposed to get the time‐domain features in detail. The feature space is constructed by the kurtosis, crest factor, and peak divergence degree of the time‐domain waveform. Further, we propose another new algorithm, the shape entropy algorithm (SE), to extract the frequency‐domain features. Through converting the power spectrum of the vibration signals to polar coordinates via the divergence factor, the SE features are then obtained by combining with the information entropy formula. Finally, the TRD and SE features are combined and input into the support vector machine (SVM) model for fault identification. The test results verify the efficiency of the methodology and the identification process takes less time. It has a practical application value.
Autonomous live working robot navigation with real‐time detection and motion planning system on distribution line
Authors: Zhao Haoning , Wang Chaoqun , Guo Rui , Rong Xuewen , Guo Jiamin , Yang Qixun , Yang Lecheng , Zhao Yuliang , Li Yibin 
Published: June 2022

AbstractIn this study, an autonomous robot navigation system is designed for live working on distribution line. The developed system features a real‐time detection and motion planning system, incorporating a manipulator capable of grasping power components. In order to accurately identify targets, the authors propose an object detection method based on the Larger Scale ‘You Only Look Once’ Version 4 (LS‐YOLOv4) algorithm for detecting the insulators and drop fuses. The LS‐YOLOv4 extracts features of power components by Convolutional Neural Network (CNN), and then performs feature fusion. Then the authors develop a motion planning method based on the Node Control Optimal Rapidly Exploring Random Trees (NC‐RRT*), which can drive the robot to realise the autonomous robot motion planning and obstacle avoidance. On the grasping function, the authors present a reliable Lightweight‐based Convolutional Neural Network (L‐CNN) grasping point detection method. Finally, the authors evaluate fully autonomous robotic system in both simulated and real‐world experiments. The experimental results demonstrate that the proposed system can effectively identify the target and complete the grasping task in an efficient way. Notably, the proposed motion planning method can take into account both planning efficiency and accuracy to manipulation tasks.
Lightweight single image deraining algorithm incorporating visual saliency
Authors: Hu Mingdi , Yang Jingbing , Ling Nam , Liu Yuhong , Fan Jiulun 
Published: June 2022

AbstractThere are still some challenges in the task of single image rain removal, such as artefact remnant, background over‐smooth, and increasingly complex and heavy‐weight network architecture. Especially too heavy‐weight network to fit outdoor detection devices or mobile devices. To address the above challenges, we propose a lightweight single image Deraining algorithm incorporating visual attention saliency mechanisms (LDVS). The proposed network consists of five blocks and two convolution operations, where each block consists of a dilation convolution module and a convolutional block attention module (CBAM). Specifically, visual saliency module CBAM is used for accurate localization of rain streak, and further the combinations of dilated convolution with CBAM is used to extract feature maps of rain streaks faithfully, which is able to remove artefact remnant while maintaining background details. A good tradeoff is presented between the network's weight size and effect of rain removal. Specifically, with only 48,268 parameters, the proposed model can achieve a guaranteed performance. Extensive experiments on a few typical rainy scenarios on synthetic and real‐world datasets have demonstrated that to achieve the same level of performance, the proposed method has far smaller size than most of the baselines under both qualitative and quantitative analyses.
Hybrid voltage and current control strategy for virtual synchronous generator under unbalanced voltage conditions
Authors: Wang Yichao , Wang Dongrong , Huang Zuliang , Li Yan 
Published: June 2022

AbstractThe traditional VSG strategy does not consider the negative sequence component, which will lead to current imbalance and power oscillation under unbalanced voltage. Several improved control strategies of VSG are usable for operating under unbalanced voltage nowadays. These control strategies usually require a complex PLL (phase‐locked loop) to detect sequence components, and a current reference generator to convert voltage references to current references. This paper proposes an improved control strategy for VSG. The main contributions are in threefold: (1) A hybrid voltage and current control strategy by simultaneously controlling the positive sequence output voltage and negative sequence output current is proposed, which can achieve different operation demands under unbalanced voltage conditions without changing the original characteristics of VSG. (2) A positive and negative sequence decoupling method is designed to acquire the synchronization phase information directly from the positive sequence voltage control branch, thereby avoiding the use of complex PLL (phase locked loop). (3) A general formulation for the negative sequence current references is presented to control the power oscillations or the current balance flexibly. The correctness and effectiveness of the control strategy are verified by simulation and experimental results.
A Term Infant Presenting with COVID-19 Disease at Birth and a Croup-Like Cough
Authors: Arnold Michelle , Wade Christine , Micetic Becky , Mody Kartik 
Published: June 2022

Objective Since the global outbreak of the novel coronavirus disease 2019 (COVID-19), there have been increasing reports of children developing a croup-like cough associated with concurrent COVID-19 infection. Currently, there is not much information available regarding newborn infants and COVID-19 infection and the incidence of vertical transmission is thought to be rare. This novel case report depicts a term newborn infected at the time of birth with COVID-19 and includes details about the course of their complicated hospitalization.
Study Design A term infant, found to be infected at birth with COVID-19, developed respiratory distress resulting in transfer to our neonatal intensive care unit. Due to the increasing respiratory support requirements, endotracheal intubation was required on day of life (DOL) 7. Later, when the infant was extubated, on DOL 21, a croup-like cough developed.
Results Despite respiratory treatment with albuterol, budesonide, racemic epinephrine, lidocaine, dornase alfa, and a 10-day course of dexamethasone, the cough persisted. A prolonged hospitalization was required and eventually the infant was discharged home on 0.4 L/minute of oxygen via nasal cannula on DOL 95.
Conclusion As the COVID-19 virus mutates over time, there are some seemingly different presentations in both the pediatric and adult populations. The hypervigilance and sharing of new findings among providers are paramount in the treatment of infants with COVID-19 disease.
Key Points