bluuebunny/crossref_metadata_2025_split huggingface dataset:
Symptomatic Heterotopic Bone Formation after 1,2 ICSRA in Scaphoid Nonunions
Authors: Ghijsen S. C. , Heeg E. , Teunis T. , den Hollander V. E. C. , Schuurman A. H. 
Published: July 2023

Abstract
Background We observed several cases of heterotopic bone formation after a 1,2 intercompartmental supraretinacular artery (1,2 ICSRA) distal radius vascularized bone graft (VBG) for the treatment of scaphoid nonunion. This adverse event seems underreported. Knowledge about factors associated with the formation of heterotopic bone after VBGs might help reduce this adverse event.
Purpose What factors are associated with resected heterotopic bone formation after 1,2 ICSRA distal radius graft for the treatment of scaphoid nonunion?
Patients and Methods We retrospectively reviewed all patients with a scaphoid nonunion treated with a 1,2 ICSRA distal radius graft between 2008 and 2019 in an urban level 1 trauma center in the Netherlands. We included 42 scaphoid nonunions in 41 people treated with the 1,2 ICSRA graft. We assessed potential correlation with patient, fracture, and treatment demographics.
Results Heterotopic bone developed in 23 VBGs (55% [23/42]), of which 5 (12% [5/42]) were resected. Heterotopic bone was located radially (at the pedicle side) in all participants. Except a longer follow-up time (p = 0.028), we found no variables associated with the development of heterotopic bone formation.
Conclusion The location of the heterotopic bone at the pedicle site in all cases suggests a potential association with the periosteal strip. Surgeons might consider not to oversize the periosteal strip as a potential method to prevent heterotopic ossification after VBG.
Level of Evidence Level II, prognostic study.
Predictive value of adiposity index in identifying depression in individuals with type 2 diabetes mellitus in Indian population
Authors: Singh Jiya , Singh Praveen Kumar , Nain Rashmi , Kant Ravi , Das Anindya , Mirza Anissa Atif , Saha Sarama 
Published: July 2023

Objectives:
Type 2 diabetes mellitus (T2DM) patients are four times more prone to develop depression. Common subjective tool to evaluate depression is Patient Health Questionnaire-9 (PHQ-9). Depression in T2DM remains unaddressed because of lack of objective tools resulting in poor treatment compliance. Both obesity and metabolic disturbances could influence mental health status. Therefore, this study was designed to determine the better adiposity index to predict depression in T2DM.

Materials and Methods:
In this clinic-based cross-sectional study, 400 individuals (260 = T2DM and 140 = healthy) were recruited. Based on PHQ-9, T2DM patients were divided into T2DM + Dep (PHQ-9 ≤ 10) and T2DM-Dep (PHQ-9 < 10). The relationship between the PHQ-9 score and adiposity indices was examined by Pearson’s/Spearman’s correlation. The receiver-operating characteristic curve analysis was used to identify the cutoff value.

Statistical Analysis:
Statistical analysis was performed using SPSS 22.0 version (IBM Corp., Armonk, New York, United States).

Results:
Female diabetic patients showed significant correlation only in lipid accumulation product index (LAPI) and visceral adiposity index (VAI) (r = 0.206 and r = 0.0.237, respectively), while male diabetic patients did not show any significant association. Interestingly, T2DM + Dep group showed significant association between LAPI (r = 0.248) with PHQ-9 score, while T2DM-Dep group did not show significant association. VAI had maximum area under the curve in T2DM patients (0.619, p = 0.002) as well as in female diabetic patients (0.684, p = 0.002). The cutoff value for identifying depression among diabetic individuals was 5.60, with 70.3% sensitivity and 48.2% specificity, while in diabetic females, it was 6.612, with 70% sensitivity and 61.4% specificity.

Conclusions:
VAI might be the best adiposity index to predict depression among diabetic individuals.
Design of a fast and low-noise front-end electronics developed for the measurements of low- and medium-energy charged particles in space plasma environments
Authors: Berthomé E. , Devoto P. , André N. 
Published: July 2023

A fast and low-noise front-end electronics for amplifying and filtering the signal generated by a silicon detector has been designed, simulated, developed, and characterized as the main part of the detection chain for an instrument devoted to the measurements of low- and medium-energy charged particles in space plasma environments. The targeted low energy threshold is 10 keV with a 10% resolution. The simulated performances of the developed electronics reach a gain bandwidth of up to 16.1 GHz, a noise level at the input of 0.96 nV/Hz−1/2, and an equivalent noise charge of 4.62 keV. The experimental measurements with injection testing show resolution below 5 keV and a low threshold of 31.46 keV. Radioactive testing shows a resolution of 30.9 keV because the detector capacitance is larger than expected (21 vs 10 pF). A good agreement between simulation with a 21 pF detector capacitance and experimental measurement is achieved within 18%.
The challenges of One Health. Accessing and networking with different forms of knowledge and epistemologies
Authors: Lainé Nicolas 
Published: July 2023

AbstractDespite its recent growth in popularity since the COVID-19 pandemic, One Health*can be traced back to the colonial period when it was used to control the health of local communities and their animals while exploiting natural resources. At present, it is necessary to move away from this asymmetrical colonialist view and develop more inclusive perspectives. Local communities have their own knowledge with a holistic vision of health involving humans, animals and the environment. Their viewpoint is nevertheless rarely taken into consideration within the scientific approach to health. To fill this gap, the humanities and social sciences can be used to revive this local knowledge and to initiate a dialogue with scientific knowledge. More crucially, to effectively put One Health into practice, researchers must call into question their own practices, reflect on what constitutes science and rethink the way of producing knowledge, all the while acknowledging the different ways of understanding the world and diseases. This means opening up to other forms of knowledge and epistemologies and networking them.
Infrared to green conversion of long persistent luminescent Eu2+-Dy3+ Co-doped SrAl2O4
Authors: Zhu Ruiqi , Lou Chaogang , Diao Han , Song Guoxiang , Yin Yunzhen 
Published: July 2023

Abstract
The infrared to green conversion of long persistent luminescent SrAl2O4:(Eu2+, Dy3+) phosphors has been investigated experimentally. It is found that the infrared light with the wavelength 1350 nm and 1550 nm can be converted to green light by the phosphors. Experimental evidences show that there exist two possible mechanisms which are responsible for the infrared to green conversion: one is the excitation of the electron in the trap energy levels of the phosphors to the higher energy levels of Eu2+ ions by absorbing one infrared photon; the other is the excitation of the electron in the ground energy levels of Dy3+ ions to the higher energy levels of Dy3+ ions by absorbing two infrared photons. The easy fabrication and low cost make the phosphors a promising candidate of photovoltaic materials.
Constraint dependence of pressure on a passive probe in an active bath
Authors: Liu Peng , Li Longfei , Ning Luhui , Zheng Ning , Yang Mingcheng 
Published: July 2023

Abstract
Mechanical pressure in active matter is generally not a state variable and possesses abnormal properties, in stark contrast to equilibrium systems. We here show that the pressure on a passive probe exerted by an active fluid even depends on external constraints on the probe by means of simulation and theory, implying that the mechanical pressure is not an intrinsic physical quantity of active systems. The active mechanical pressure on the passive probe significantly increases and saturates as its elastic constraint (realized by a trap potential) or kinematic constraint (realized by environmental friction) strengthens. The microscopic origin for the constraint-dependent pressure is that the constraints influence the probe dynamics, and hence change the frequency and intensity of the collisions between the probe and active particles. Our findings not only greatly advance the understanding of active mechanical pressure but also provide a new way to in situ tune it.
High-fidelity dynamics of piezoelectric covered metamaterial Timoshenko beams using the spectral element method
Authors: Hu Guobiao , Tang Lihua , Yang Yaowen , Yu Dewen , Zi Yunlong 
Published: July 2023

Abstract
Piezoelectric metamaterial beams have received enormous research interest for the applications of vibration attenuation and/or energy harvesting in recent years. This paper presents a generic modelling approach for predicting the high-frequency dynamics of piezoelectric metamaterial beams. The spectral element method (SEM) is used to derive the dynamic stiffness matrix of a composite piezoelectric beam segment. Boundary condition implementations are demonstrated. Both band structure and transmittance analyses are realized. Several case studies for piezoelectric metamaterial beams configured in different geometric/electrical forms are carried out. The corresponding finite element (FE) models are built for verification, and a comparison study with the transfer matrix method (TMM) is conducted. For the uniform configurations, an almost indistinguishable difference is noted between the theoretical and FE results. For the stepped configurations, only minor discrepancies are observed in the high-frequency responses. The improved robustness and stability of the SEM method compared to the TMM method are demonstrated. A further discussion has been provided to explain the cause of the high-frequency discrepancies: sudden changes in the cross-section of the beam result in the stress concentration effect and reduce the bending stiffness at the junction connection. Finally, the value of the high-fidelity modelling approach is reflected through a parametric-based optimization study towards merging the Bragg scattering and locally resonant band gaps in an example piezoelectric metamaterial beam to achieve a wide band gap.
Novel double graded perovskite materials for performance increment of perovskite solar cell using extensive numerical analysis
Authors: Bhattarai Sagar , Jayan Deepthi , Yousfi Abderrahim , Chowdhury Mithun , Rahman Md Ferdous , Pandey Rahul , Madan Jaya , Ansari Mohd Zahid , Hossain M Khalid 
Published: July 2023

Abstract
The influence of single, double absorber layers based on perovskite solar cells has attracted considerable attention of researchers in the last few years; according to their promising output parameters such as short-circuit current (JSC), open-circuit voltage (VOC), fill factor (FF) and power conversion efficiency (PCE). The present work makes under study and investigation the comparison modelling between the two configurations of ITO/C60/MAPb(I1-xClx)3/ Spiro-OMeTAD /Au and ITO/C60/MAPb(I1-xClx)3/MASnI3/Spiro-OMeTAD /Au, the problem of lower absorption materials such as MAPb(I1-xClx)3 limits its output photovoltaic applications. Nevertheless, the need to use a prime candidate of the lead-free MASnI3 for grading with the first absorber layer that leads to absorbing a wider quantity of light spectrum, which boosting up efficiency. The simulating software of SCAPS-1D is used to examine our proposed models. The optimal output parameters (JSC, VOC, FF, and PCE) are obtained in this simulation are 27.69 mA cm−2, 1.37 V, 89.1%, and 33.66%.
A novel beam-steering device based on spoof surface plasmon polaritons
Authors: Aziz Asad , Aziz Arsalan 
Published: July 2023

Abstract
In this paper, an ultra-compact T-shaped component is proposed in order to achieve a spoof surface plasmon polariton (SSPPs) dual-functional device with beam steering and multiple band-rejection filtering functions. The newly introduced T-shaped component provides an excellent multiple band-rejection filter response when combined with the SSPP transmission line (TL), and can be regarded as an excellent alternative to metamaterial particles to conceive multi-band rejection of spoof SPP waves. Multi-band rejection filters are designed by introducing different intervals among the symmetric T-shaped components. Furthermore, we designed a compact SSPP beam-steering device integrated with a multiple band-rejection filtering function. The multiple band-rejection integrated beam-steering device can also be realized by incorporating different intervals among the T-shaped components, as mentioned in the case of linear filters. Integration of the SSPP beam-steering device and band-rejection filter offers compact areas and controllable passband features, which broadens the application range of SSPPs. In conclusion, the proposed T-shaped component is an outstanding addition toward the advancement of highly efficient ultra-compact dual-functional plasmonic devices.
Self-focusing of low order LG laser beam in Gaussian plasma
Authors: Ghotra Harjit Singh , Singh Lovejeet 
Published: July 2023

Abstract
Laguerre Gaussian (LG) laser beam propagations is presented to investigate the self-focusing in collision-less Gaussian plasma. This is by deriving the equations supporting self-focusing in plasma mediums by using WKB approximation. Additionally, a range of values of laser-plasma parameters which would fulfil these equations is considered. For the scenario of Gaussian and collision-less plasma, the study is contrasted. By utilizing a low order Laguerre Gaussian laser beam is more exciting as compare to using a Gaussian laser because it incorporates the propagation specific characters of Laguerre Gaussian Laser Beam. The observations are appeared in term of early self-focusing with LG laser beam. The investigation is expected to unfold the new and more effective scenario for self-focusing in plasma.
Characteristics of a CW ∼5 μm Ce3+-doped chalcogenide glass fiber laser
Authors: Koltashev V V , Frolov M P , Leonov S O , Sverchkov S E , Galagan B I , Korostelin Yu V , Skasyrsky Ya K , Snopatin G E , Sukhanov M V , Velmuzhov A P , Kozlovsky V I , Denker B I , Plotnichenko V G 
Published: July 2023

Abstract
Energy, spectral and temporal characteristics of a Ce3+-doped chalcogenide glass fiber laser continuously pumped by a 4.16 μm Fe2+:ZnSe laser were investigated. Milliwatt level output power was obtained. In case of low Q-factor of the resonator the laser operated at λ = 4.62 μm corresponding to the narrow peak in Ce3+ emission spectrum. At higher Q-factor, the lasing wavelength changed to 5.0–5.1 μm corresponding to the plateau in the gain spectrum. In contrast to Tb3+-doped mid-infrared fiber lasers, Ce3+-doped fiber laser had no tendency to non-relaxing spike operation.
CPLR-SFS: Contrastive Prompt Learning to Reduce Redundancy for Scientific Faceted Summarization
Authors: Xiong Jing-Wen , Mao Xian-Ling , Yang Yizhe , Huang Heyan 
Published: July 2023

Abstract
Scientific faceted summarization is a task to generate four summaries for a scientific article from different facets, including Purpose, Method, Findings, and Value. Existing works usually generate summary independently for each facet using pre-training or prompt-training paradigms. However, these works tend to produce duplicate content among different facets of the same scientific article, because they do not consider the relation among the aforementioned four facets. To solve the redundancy problem, we propose a novel Contrastive Prompt Learning method to Reduce redundancy for Scientific Faceted Summarization, named CPLR-SFS, to generate concise and less-overlapping faceted summaries. Specifically, CPLR-SFS receives the facet-specific prompt to guide the generation and utilizes the faceted contrastive loss for better distinguishing different faceted summaries in semantic space. Extensive experiments on the FacetSum dataset demonstrate that the proposed model can generate better faceted summaries than the state-of-the-art baselines with less redundancy.
SNER-CS: Self-training Named Entity Recognition in Computer Science
Authors: Zhu Jing-Jing , Mao Xian-Ling , Huang Heyan 
Published: July 2023

Abstract
As the number of scientific publications grows, especially in computer science domain (CS), it is important to extract scientific entities from a large number of CS publications. Distantly supervised methods, generating distantly annotated training data by string match with external dictionary automatically, have been widely used in named entity recognition task. However, there are two challenges to use distantly supervised methods in computer science NER task. One is that more and more new tasks, methods and datasets in CS are proposed rapidly, which makes it difficult to build a computer science entity knowledge base with high coverage. The other is noisy annotation, because there is no uniform entity representation standard in computer science domain. To alleviate the two problems above, we propose a novel self-training method based pretraining language model with a distantly supervised label automatic construction system in CS (SNER-CS). Experimental results show that the proposed model SNER-CS performs previous state-of-the-art methods in computer science NER task.
A Lidar SLAM based on Improved Particle Filter and Scan Matching for Unmanned Delivery Robot
Authors: Zhang Jing , Zhang Xuepeng , Shen Xiao , Wu Jun , Li Yunsong 
Published: July 2023

Abstract
With the rapid development of robotics, intelligent robots have gradually entered human daily life and take responsibility for specific tasks, which brings tremendous convenience to people’s lives. In indoor places such as restaurants, hotels, logistics warehouses, SLAM technology can guide mobile robots to complete delivery tasks. Aiming at solving the problems of particle degradation in the traditional RBPF-based two-dimensional SLAM algorithm, our algorithm firstly proposes an improved particle filter method based on cross-mutation, which changes the information of the small weight particles in the system by designing cross-mutation operators. Thus, a certain amount of small weight particles are retained in the system to increase the diversity of particles. Secondly, our algorithm proposes a scan matching method based on point and line features, which makes full use of the geometric information of the two-dimensional point cloud by designing a new error function. Compared with traditional matching methods that only rely on point features, it has better matching accuracy. We conduct Two-dimensional SLAM experiments in the Gazebo simulation environment and the real natural environment. The results show that the proposed algorithm has higher mapping accuracy than the commonly used two-dimensional SLAM algorithm Gmapping at this stage. Using improved A* algorithm to conduct path planning experiments on the two-dimensional grid map built with our algorithm, the results prove the effectiveness of our algorithm.
Convert path planning for underwater vehicle based on sonar detection probability
Authors: Zou Dan , Zhao Fei 
Published: July 2023

Abstract
Underwater vehicle is essential for many tasks such as underwater exploration, equipment deployment and covert reconnaissance. Many underwater missions must be carried out with stealth to avoid being detected by enemy sonars, and safety and security are required in such high-risk situations. In this paper, a covert path planning algorithm for underwater vehicle is proposed based on the sonar detection probability analysis. First the sonar performance prediction model is constructed with sonar parameters, marine environment and underwater vehicle acoustic properties. Afterwards an improved ant colony algorithm is established by minimizing the cumulative detection probability. The evaluation indicate that the optimal covert path obtained for underwater vehicle is effective for reducing the cumulative detection probability.
Experimental investigation on axial quasi-static crushing of Al/PLA hybrid tubes
Authors: Hidayat Dony , Istiyanto Jos , Nabilah Jihan Dieni , Ardiansyah Riki , Saptari Sitti Ahmiatri , Kurniawan Farohaji , Sumarsono Danardono Agus 
Published: July 2023

Abstract
Fused Deposition Modeling/3d printed technology, which has developed rapidly, is capable of making complex prototyping and can be used to produce passive safety devices. This paper investigates the interactions between the hybrid tube members and the energy absorption capabilities of Al and PLA tubes, multi-cell PLA structures, and Al/PLA hybrid tubes. For all the specimens, quasi-static axial crushing tests are conducted. The energy absorption capability of the Al/PLA hybrid tube increased by 59% compared to the single-cell Al tube. The EA value of the Al/PLA hybrid tube specimen was greater than the accumulated EA value of the PLA and Al tubes and the PLA multi-cell structures. The increase in EA value due to hybrid tube interaction is 16.36%.
Research on pressure dynamic characteristics of multi-cavity model in aero-engine secondary air system
Authors: Liu Haiming 
Published: July 2023

Abstract
An algorithm for the basic elements was established based on the physical mechanism of transient secondary air system. A simulation program was compiled by using object-oriented language. Then a multi-cavity transient model of the secondary air system was established, and the pressure dynamic characteristics of the multi-cavity model were analyzed. The transient modeling of the air system has practical engineering versatility by establishing a standard interactive interface, and the transient modeling and analysis of the air system in different engines can be realized through using each component module. Such simulation research can help engineers to improve the design flow path of the secondary air system, and provide simulation data for the airworthiness design of engine, which has certain application value.
Analysis performance of navigation constellation satellite failure and enhancement of LEO navigation
Authors: Xue Wen , Hu Min , Ruan Yongjing , Wang Xuan 
Published: July 2023

Abstract
The stable operation of navigation satellite constellation is related to national economy and national defense security. The failure of any one or two satellites has little impact on the overall performance of the global navigation satellite constellation, and the availability of the navigation constellation decreases with the increase of the number of failed satellites. First, a typical medium earth orbit Walker-δ 24/3/1 constellation configuration was designed. Second, the service performance of the navigation constellation under different failure modes was analyzed. The weaknesses of the constellation were identified in combination with the availability data of the navigation constellation. Then, the overall performance of the navigation constellation after the low earth orbit satellite constellation compensates for the failure of the medium earth orbit satellite constellation is analyzed. The simulation results show that the failure of 5 global navigation satellites will reduce the availability of navigation constellation to 71%, and the hybrid navigation constellation can recover the availability to more than 97%. The orbital altitude and inclination of low orbit satellites affect the overall performance of the hybrid navigation constellation. The research results can provide reference for the demonstration of hybrid navigation constellation scheme.