bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ionospheric prediction algorithm and its application in low-latitude regions based on the physically constrained polynomial model
Authors: Huang Weizhao , Chen Yuan , Xin Tuo , Xie Huanhuan , Huang Linchao , Ji Liya 
Published: September 2023

Abstract
With sufficient consideration of the ionospheric variation subject to solar activity and geomagnetic variation, a high-precision ionospheric prediction model, i.e., a physically constrained polynomial model (PCPM), was constructed by adding the Kp index, Dst index, F10.7P, R sunspot number, and other geomagnetic and solar variation indexes. Based on the data of Continuously Operating Reference System (CORS) stations in China Southern Power Grid, the ionospheric prediction results of PCPM were compared with the widely used and well-recognized seasonal enhanced product autoregressive integrated moving average (Arima) model without additional physical parameters. The prediction performance of the two models in different prediction time spans and the influence of model products on Precise Point Positioning-Real Time Kinematic (PPP-RTK) was emphatically analyzed. The experimental results demonstrated that the accuracy of PCPM is better than that of the seasonal Arima model on the first day of prediction, the prediction accuracy of the two models decreases with the increase of prediction time span, and the lowest accuracy of the seasonal Arima model on the first three days is 1.5 TECU. The Arima model outperforms the PCPM over a long-time span; in light of the overall accuracy, PCPM is more available in five southern provinces, outperforming the seasonal Arima model; the results of the PPP-RTK experiment showed that the PCPM could not only improve the velocity of ambiguity fixing but also improve the positioning accuracy after ambiguity fixing. Compared with the seasonal Arima model, the velocity of ambiguity fixing is increased by 16.7%, and the positioning accuracy after ambiguity fixing is improved by 61.0% in the E direction and 6.9% in the U direction compared with the results without ionospheric constraints.
Analysis of Automatic and Fast Switching Scheme for Closed Loop Point of the Power Grid in the Baotou Area
Authors: Mu Ren , Guan Kai , Zhan Xueniu , Zhang Yi , Song Haitao 
Published: September 2023

Abstract
The influence of the access of different power source unloop points on the power grid is summarized. Transient simulation analysis is carried out on voltage fluctuation, power flow fluctuation, short-circuit current, and voltage unbalance degree after the power grid is closed. The feasibility of the fast-switching device configured on the distribution network side is demonstrated, and the possible problems of the fast-switching device in the operation process and their influence on the power grid are analyzed. Ultimately, it lays a theoretical foundation for researching automatic and fast-switching devices under specific operating modes.
Cross-Wavelet Analysis on Radiation Emitted by the plume of a small-size Solid Rocket Motor
Authors: Martellini Edoardo , Troiani Guido , Pagliaroli Tiziano 
Published: September 2023

Abstract
This work follow a previous activity that developed a non-intrusive measurements technique for particles velocity ejected from a solid rocket motor based on wavelet analysis. The aim was to detect the particles passage and calculate the axial velocity through an auto-conditioned cross-correlation algorithm. In this study, a wavelet based processing techniques are applied and an innovative methodology based on the cross-wavelet analysis is presented. The objective is to detect the impulsive events associated to the particles crossing the field of view of the acquisition system. Starting from two synthetic signals characterized by a Gaussian peak, each one located at a different time instants, cross-wavelet analysis identify an increase of energy for all the correlation time producing a structure in the time scale comparable to the delay between the peaks. On the experimental database a continuous wavelet transform and a local intermittency measurement are performed to localize high energy events with randomic occurrence in the time series that are associated to the passage of allumina particles. Cross-wavelet analysis present several correlation structures localized in time between the events highlighted by the LIM maps. Results are very promising and could be a very interesting bases for deeper analysis based on wavelet, LIM and cross-wavelet.
Droplets size characterization for cold water clouds by means of Generalised Scattering Imaging
Authors: Ceglia G , De Gregorio F 
Published: September 2023

Abstract
This paper describes an experimental investigation carried out at the Italian Aerospace Research Centre (CIRA) laboratory for the application of the Generalized Scattering Imaging (GSI) technique. The droplets were generated by a monodisperse droplet generator and a multi-disperse conical nozzle. This latter is currently used for making the artificial cloud in the CIRA Icing Wind Tunnel (IWT). The measurements are devoted to assessing the application of GSI for the characterization of the cold cloud of CIRA-IWT. The experiments were conducted considering two camera models and demanding technical solutions for the illumination and layout constraints faced for the future implementation of GSI in IWT. To reduce into a linear pattern the enlarged defocused interference fringes, it is found that the optimal aperture of the slit is 5 mm. For the monodisperse droplet distribution, the results show discrepancies between the predicted and the measured diameters regardless of the sharp distribution of the occurrences of the droplet diameters. However, the dispersion found for the droplets generated by the conical nozzle exhibits the expected large variability. This effect is more emphasized when the imaged region is discretized in sub-windows, the number of droplets in each dramatically decreases, however compromising the results of the statistics. Different camera models and imaging configurations led to a variety of measurements at different spatial resolutions.
Metrological issues in the use of mobile mapping systems for planning emergency response
Authors: Chiominto L , D’Emilia G , Gaspari A , Natale E 
Published: September 2023

Abstract
The paper intends to investigate some metrological aspects concerning data acquisition in determining the slope of escape routes in existing building, in order to provide this information as input for subsequent evacuation planning algorithms. The analysis is based on the point cloud acquired by a laser scanner and deepens different aspect that can impact on the slope uncertainty, linked to the choice of the algorithm for determining the slope itself, the values of the different parameters to set, and the different possible study strategies of the floor surface. The analysis will be conducted by using a commercial software, with the aim, in a future work, of investigating other kinds of algorithms and approaches, but also non-commercial data processing methods that may provide further useful information.
Sensitivity analysis of FBG sensors for detection of fast temperature changes
Authors: Aimasso Alessandro , Vedova Matteo Davide Lorenzo Dalla , Maggiore Paolo 
Published: September 2023

Abstract
In the last few decades, the use of optical fiber is becoming more widespread for communication technologies and sensor applications. In this sense, considering the physical characteristics of the fiber, there are many possibilities for its use in various engineering sectors, not least in the aerospace one. Indeed, using optical fibers to replace traditional electronic devices can provide significant advantages, such as using an extremely lightweight and minimally invasive technology. FBG (Fiber Bragg Grating) sensors are ones of the most widely used instruments for this purpose, and they allow the detection of different physical parameters, including temperature. The aim of the present work is to analyze the performances of FBGs, in particular by evaluating their ability to read short-term thermal transients and comparing it with that of a conventional thermal probe (PT100). More specifically, two optical fibers were used: the first with the FBG sensor area covered by the external coating and the second without this outer layer. All instrumentation was placed in a climatic chamber and subjected to different thermal cycles. Furthermore, the fiber sections with FBGs were not placed directly in contact with the plate on which they were installed. This made it possible to put optical sensors indications that were as independent as possible from the materials on which they were mounted. Tests have shown that optical sensors have an extremely high sensitivity and a much shorter reaction time than the PT100 probe. Data collected by this work allow strategic use of FBG for thermal monitoring using a minimally invasive and extremely accurate technology.
A multivariate statistical analysis of the noise emitted by an installed propeller
Authors: Falsi M. , Zaman I. , Meloni S. , Camussi R. , Zang B. , Azarpeyvand M. 
Published: September 2023

Abstract
Novel-aircraft concepts consider the possibility of placing the propulsor very close to the fuselage to ingest the incoming airframe boundary layer. In this configuration, the engine takes the inflow at a reduced velocity, consuming less fuel in the combustion process. However, this induces a series of noise consequences that alter tonal and broadband noise components. The present work reports an experimental investigation to analyse the sound emitted by a propeller ingesting a turbulent boundary layer. Experiments have been performed in the anechoic wind tunnel at the University of Bristol and the set-up consisted of a two-bladed propeller close to a tangential flat plate to simulate the installed effects. A tripping device was placed 1 m upstream of the propeller and was used to generate a turbulent boundary layer at the propeller location. The wind tunnel velocity was fixed at 33 m/s keeping the advance ratio at J = 0.65. Far-field noise has been acquired using a microphone array positioned parallel to the plate, directly overhead of the propeller. The data were analysed in the frequency domain, providing a characterisation of spectral quantities. Furthermore, wavelet analysis was performed to investigate the time evolution of the identified pressure features. Results show evident haystacking humps close to higher BPF harmonics, due to the ingestion of the boundary layer. Moreover, the wavelet analysis revealed the intermittent nature of the haystacking humps, clearly visible at higher BPF harmonics with low-frequency energy content.
Search for charged lepton flavor violation in J/ψ decays at BESIII
Authors: Li Jingshu , You Zhengyun 
Published: September 2023

Abstract
The observation of any charged lepton flavor violation (CLFV) process would be a clear signal of new physics beyond the Standard Model. Various decay modes, including lepton (μ, τ) decays, pseudoscalar meson (K,π) decays, vector meson (ϕ, J/ψ, Υ) decays, and Higgs decays, have been explored to detect CLFV. Focusing on the search for CLFV at the τ-charm region, the results of the search for J/ψ → eτ/eμ using the 10 billion J/ψ events collected by the BESIII experiment are presented. The upper limits (ULs) at the 90% confidence level are ℬ(J/ψ → e
±
τ
∓) < 7.5 × 10-8 and ℬ(J/ψ → e
±
μ
∓) < 4.5 × 10-9, respectively. Improving the previously published limits by two orders of magnitudes, the results are the most stringent CLFV searches in heavy quarkonium system.
California margin temperatures modulate regional circulation and extreme summer precipitation in the desert Southwest
Authors: Bhattacharya Tripti , Feng Ran , Maupin Christopher R , Coats Sloan , Brennan Peter R , Carter Elizabeth 
Published: September 2023

Abstract
In August 2022, Death Valley, the driest place in North America, experienced record flooding from summertime rainfall associated with the North American monsoon (NAM). Given the socioeconomic cost of these type of events, there is a dire need to understand their drivers and future statistics. Existing theory predicts that increases in the intensity of precipitation is a robust response to anthropogenic warming. Paleoclimatic evidence suggests that northeast Pacific (NEP) sea surface temperature (SST) variability could further intensify summertime NAM rainfall over the desert southwest. Drawing on this paleoclimatic evidence, we use historical observations and reanalyzes to test the hypothesis that warm SSTs on the southern California margin are linked to more frequent extreme precipitation events in the NAM domain. We find that summers with above-average coastal SSTs are more favorable to moist convection in the northern edge of the NAM domain (southern California, Arizona, New Mexico, and the southern Great Basin). This is because warmer SSTs drive circulation changes that increase moisture flux into the desert southwest, driving more frequent precipitation extremes and increases in seasonal rainfall totals. These results, which are robust across observational products, establish a linkage between marine and terrestrial extremes, since summers with anomalously warm SSTs on the California margin have been linked to seasonal or multi-year NEP marine heatwaves. However, current generation earth system models (ESMs) struggle to reproduce the observed relationship between coastal SSTs and NAM precipitation. Across models, there is a strong negative relationship between the magnitude of an ESM’s warm SST bias on the California margin and its skill at reproducing the correlation with desert southwest rainfall. Given persistent NEP SST biases in ESMs, our results suggest that efforts to improve representation of climatological SSTs are crucial for accurately predicting future changes in hydroclimate extremes in the desert southwest.
Accurate dynamics from self-consistent memory in stochastic chemical reactions with small copy numbers
Authors: Harsh Moshir , Sollich Peter 
Published: September 2023

Abstract
We present a method that captures the fluctuations beyond mean field in chemical reactions in the regime of small copy numbers and hence large fluctuations, using self-consistently determined memory: by integrating information from the past we can systematically improve our approximation for the dynamics of chemical reactions. This memory emerges from a perturbative treatment of the effective action of the Doi-Peliti field theory for chemical reactions. By dressing only the response functions and by the self-consistent replacement of bare responses by the dressed ones, we show how a very small class of diagrams contributes to this expansion, with clear physical interpretations. From these diagrams, a large sub-class can be further resummed to infinite order, resulting in a method that is stable even for large values of the expansion parameter or equivalently large reaction rates. We demonstrate this method and its accuracy on single and multi-species binary reactions across a range of reaction constant values.
Different perspective on biodiversity: high conservation value or high cultivation value
Authors: Soedomo S , Santoso N 
Published: September 2023

Abstract
High biodiversity tends to lead the public, including experts, towards one definite direction, namely conservation. Then came the idea of the need to identify areas with high biodiversity for conservation. Furthermore, any area with high biodiversity must be conserved and should not be cleared for cultivation. However, after being protected, how to use high biodiversity for public welfare is not done immediately, even never. In fact, many conservation areas have been damaged, even some conservation areas have undergone a total change in function. Using the same logic, cultivation is directed to areas with low biodiversity, unless the area has been designated as a conservation area. Once designated as a conservation area, whatever the circumstances, the status of the conservation area must be maintained as a conservation area. Based on the literature survey and its synthesis, this paper discusses the weaknesses and dangers of such a logic line. We need to understand biodiversity from different perspectives with different implications as well. High biodiversity does not necessarily lead merely to conservation, but can also lead to cultivation. Conversely, low biodiversity does not always have to lead to cultivation, but in certain cases it must be directed to conservation.
The roles of high conservation value area to support biodiversity conservation in Indonesia
Authors: Mijiarto Joko , Arief Harnios , Purnamasari Intan 
Published: September 2023

Abstract
Oil palm plantations are often considered as one of the causes of the decline in biodiversity. Conversion of forest land to oil palm is the main factor. However, legally, land conversion can be carried out and oil palm plantation companies have also protected areas that have high conservation value, including important animal habitats. The purpose of this study is to assess the role of high conservation value areas in the conservation of biodiversity. The study was conducted on several oil palm plantations in Indonesia by conducting a literature review of high conservation value documents on several oil palm plantation companies. High conservation value areas in oil palm plantations are determined based on the presence of endangered and protected animals such as proboscis monkeys and orangutans. With the stipulation of the area as a HCV area, the presence of these animals becomes more concerned because the company has the responsibility to monitor the presence of these animals. In addition, the company also conducts socialization to the community and workers to take care of these animals. The existence of the HCV area also indirectly supports the government’s program in this case is the establishment of an Essential Ecosystem Area that functions to protect important animals outside the conservation area.
Mycorrhizae utilization in palm oil nurseries to reduce inorganic fertilizer dose
Authors: Sakiah  , Yosephine I O , Sukariawan A , Naibaho T , Guntoro  , Saragih A P 
Published: September 2023

Abstract
Fertilization in palm oil nurseries is an invaluable tending activity to obtain healthy and robust seedlings. This research aims is to identify the dose percentage level of the inorganic fertilizer which can be reduced by applying mycorrhizae in oil palm nurseries. The research design used a non-factorial completely randomized design, as the treatment factor was the dose of fertilizer in oil palm nurseries. There are 5 levels of treatment, namely P0 (100% of the standard dose + 50 g mycorrhizae), P1 (75% of the standard dose + 50 g mycorrhizae), P2 (50% of the standard dose + 50 g mycorrhizae), P3 (25% of the standard dose + 50 g mycorrhizae), and P4 (0 inorganic fertilizer + 50 g Mycorrhizae). Each treatment was arranged in four replications. The data were analyzed using ANOVA, if F-count > F-table then it is continued with Duncan Multiple Range Test. The observation variables included plant height, number of leaves and stem diameter, root length, canopy dry weight, roots dry weight, and P uptake. The results showed that there were significant differences in plant height, number of leaves, stem diameter, roots dry weight, canopy dry weight and P uptake in leaves as well as, while the observations of root length showed no significant difference. The application of 50 grams of mycorrhizae with a 50-75% standard dose of fertilization resulted in optimal seedling growth. Mycorrhizae utilization can reduce the application of inorganic fertilizers up to 25-50%.
Double pulse gas metal arc welding process parameter optimization and weld performance analysis based on response surface method
Authors: Bin Kun , Yao Ping , Xu Min , Lin Qian , Gu Yuqing 
Published: September 2023

Abstract
Double pulse gas metal arc welding (DP-GMAW) is a low-frequency modulated high-frequency pulse welding, which can fully stir the molten pool, and improve the forming and performance of the weld. In this study, a mathematical model was developed using the response surface method (RSM) with three main process parameters (welding current, peak-to-base ratio, welding speed) as input values with three key geometric characteristics parameters, and the mechanical properties of the resulting welds were investigated. The results showed that the parameter model developed in this study had less error and could optimize the process parameters better; the optimal process parameters (welding current, peak-to-base ratio, welding speed) were 160 A, 39.93%, and 83.11 cm min−1, respectively. The improved welding parameters result in better mechanical properties and better weld profile, and more stable welding process. As a result, this experiment provides a new perspective for process parameter optimization and mechanical properties research for weld manufacturing.
Low-temperature giant coercivity in Co6.2Ga3.8−x
Ge
x
(x = 2.4 to 3.2)
Authors: Kitagawa Jiro , Nomura Himawari , Nishizaki Terukazu 
Published: September 2023

Abstract
The observation of giant coercivity exceeding 20 kOe at low temperatures in several transition-metal-based compounds has attracted significant attention from a fundamental perspective. This research is also relevant to developing rare-earth-free permanent magnets, wherein cobalt is one of the primary elements used. To facilitate easy fabrication, rare-earth-free and Co-based inorganic bulk magnets that exhibit giant coercivity are highly demanded but rarely reported. Herein, we report the observation of low-temperature giant coercivity in polycrystalline metallic Co6.2Ga3.8−x
Ge
x
(x = 2.4 to 3.2) with the hexagonal Fe13Ge8-type structure composed of Kagome and triangular lattices. As the Ge content x decreases from 3.2, the magnetic ground state changes from ferrimagnetism to ferromagnetism at x = 2.6. In the ferrimagnetic state, we observed a signature of spin frustration arising from the Kagome and/or triangular lattices of Co atoms. The ferromagnetic ordering temperatures for the x = 2.6 and 2.4 samples are 46 K and 60 K, respectively. The coercive fields rapidly increase upon cooling and reach values of 26 kOe and 44 kOe in the x = 2.6 and 2.4 samples, respectively, at 2 K.
Extraordinarily high serum CA 19-9 in setting of pancreatic necrosis and underlying pancreatic adenocarcinoma: a case report
Authors: McConnell Ashlyn , Stoneman Tyler , Hewlett Stanley 
Published: September 2023

Abstract
Carbohydrate antigen (CA 19-9) is the most validated marker for both sensitivity and specificity of pancreatic adenocarcinoma used to aid diagnosis of symptomatic patients as well as to evaluate the progression or treatment of disease. Though higher levels of CA 19-9 tend to correlate with neoplastic disease, elevated levels are also often seen in patients with benign gastrointestinal diseases, such as obstructive jaundice and pancreatitis. We present a case of a 74-year-old male who was admitted for abdominal pain and worsening jaundice who was diagnosed with extensive pancreatic necrosis and an underlying invasive pancreatic adenocarcinoma whose serum level of CA 19-9 was found to be extraordinarily high.