bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testing the method for increasing the spatial resolution of satellite radiometric images in the L-band
Authors: Yashchenko A S 
Published: June 2020

Abstract
The results of testing a method for increasing the spatial resolution of satellite radiometric data in the L-band are presented. Data obtained by satellite-borne radiometer is characterized by low spatial resolution. The use of satellite radar data can increase the spatial resolution of radiometric images in the L-band to hundreds of meters. At the moment, the L-band radiometric data processing is possible with the use of radar data C-band. For this reason the method gives satisfactory results in the absence of cloudiness on the radar image.
Ammonia sensors based on resistive structures M–SnO2:Sb–M
Authors: Tsymbalov A V , Kalygina V M , Maksimova N K , Chernikov E V 
Published: June 2020

Abstract
The paper presents a comparison of the responses of sensors to ammonia in continuous heating and thermal cycling modes, and also shows the dependence of the response time of the sensors on the content NH3. Thin films of tin dioxide were obtained using RF magnetron sputtering, and then annealed in air at a temperature of 425°C for 24 hours. In thermal cycling, the temperature of the heating cycle remains constant 400 °C (duration of the heating cycle was 8 s). The temperature of the cooling cycle changes in the range 200 °C – 100 °C, but duration of cooling of the cooling cycle was remained constant of 5 s. It was shown that the thermal cycling mode has several advantages over the constant heating mode. The experiments showed that sensors based on SnO2:Sb have short response times – less than 3 seconds.
Research of directional microwave couplers under conditions of extreme changes in load parameters caused by active element failures and circuit breaks
Authors: Korotaev V M , Tuev V I 
Published: June 2020

Abstract
The results of the study of directional microwave couplers under conditions of extreme changes in load parameters are presented. Models are proposed in the form of equivalent circuits, mathematical relationships are obtained connecting the parameters of models and directional couplers, the results of comparison of model parameters and directional couplers in the microwave CAD system are shown, and experimental results are attached.
Universal installation for studying structural defects in electrical and optical fiber materials
Authors: Kalytka V A , Korovkin M V , Sh Madi P , Kalacheva S A , Sidorina E A 
Published: June 2020

Abstract
A universal device for experimentally studying the migration of microscopic structure defects and the features of dielectric relaxation is proposed. it allows using the thermo stimulated depolarization method, in combination with the measurement of the tangent of the angle of dielectric losses and the thermo stimulated polarization current, to perform dielectric spectroscopy of hydrogen-bonded crystals and perform analysis of the properties and parameters of structure defects. A smaller (in comparison with the existing installation) additional compact device for measuring small values of electrical capacitance and the tangent of the angle of dielectric losses, including an electrometer B7-30, was designed, measurement was carried out using a q-factor meter VM 560. When measuringtgδ > 0.1, the VM-507 device was used. An experimental methodology is proposed that allows, in combination with the method of minimizing the comparison function (MFC - method), with a high degree of accuracy, to calculate the molecular characteristics of structural defects in composite materials based on semiconductors and dielectrics used in the electrical and optical fiber industry, electric power and insulation technology.
Numerical simulation of wave processes in solid and gaseous media based on the particle dynamics
Authors: Sukhanov D , Kuzovova A 
Published: June 2020

Abstract
A method is proposed for the numerical simulation of acoustic processes and the motion of solids in gases based on the representation of media in the form of multiple particles. The behavior of particles is described by Newton’s equations of motion, and the strength of the interaction between particles depends on the distance between them. For gas particles, only the repulsive force is considered, and for particles of a solid force interaction ensures the equilibrium existence of a body-centered cubic lattice. The model allows one to calculate the propagation of acoustic waves and their effect on solids in a gaseous medium.
Whether and how the vapors of Al, Cu, Fe, and W influence the dynamics of apokamps
Authors: Tarasenko V F , Kuznetsov V S , Panarin V A , Skakun V S , Sosnin E A 
Published: June 2020

Abstract
The recent hypothesis about the initiation of red sprites in the Earth atmosphere in presence of metal atoms was verified. We have tested this hypothesis using Al, Cu, Fe, and W electrodes in laboratory apokamp discharges in air at a pressure of 45 and 760 Torr. Our experiments show that the electrode material does influence the apokamp dynamics. However, for Fe and W, compared to Al and Cu, the start voltage of an apokamp in pulse-repetition mode is higher and its length is shorter. The emission spectrum of apokamp discharges reveals lines of their metal electrodes. Thus, the experiments confirm the hypothesis on the contribution of metal vapors from burnt meteors to the initiation of red sprites in the Earth atmosphere.
Enhanced mid-to-late winter predictability of the storm track variability in the North Pacific as a contrast with the North Atlantic
Authors: Nie Yu , Ren Hong-Li , Scaife Adam A 
Published: June 2020

Abstract
The storm tracks are a major driver of regional extreme weather events. Using the daily output of reanalysis and a latest generation ensemble seasonal forecasting system, this study examines the interannual variability and predictability of the boreal winter storm tracks in the North Pacific and North Atlantic. In both basins, the leading mode of storm track variability describes a latitudinal shifting of the climatological storm tracks. The shifting mode is closely connected with the extratropical large-scale teleconnection patterns (i.e. Pacific-North America teleconnection and North Atlantic Oscillation).
The main predictability source for the shifting mode of the North Pacific storm tracks are the ENSO-related sea surface temperature anomalies. Assessment of the seasonal prediction skill further shows that the shifting mode of the North Pacific storm tracks is in general better predicted than that of the North Atlantic storm tracks likely due to stronger ENSO effects.
Our analyses also find that, through the modulations of ENSO and the subtropical jet, the shifting mode of the North Pacific storm tracks exhibit a mid-to-late winter predictability enhancement. During El Niño phases, the North Pacific subtropical jet shifts equatorward and becomes strongest in mid-to-late winter, which dominates the upper-level flow and guides the storm track most equatorward. We argue that the intensification and equatorward shift of the North Pacific subtropical jet in mid-to-late winter of El Niño years provide the main reason for the increased mid-to-late winter predictability for the storm tracks. The results imply that good representation of the background subtropical jet in models is important for winter climate prediction of storm tracks.
Long-term precipitation in Southwestern Europe reveals no clear trend attributable to anthropogenic forcing
Authors: Peña-Angulo D , Vicente-Serrano S M , Domínguez-Castro F , Murphy C , Reig F , Tramblay Y , Trigo R M , Luna M Y , Turco M , Noguera I , Aznárez-Balta M , García-Herrera R , Tomas-Burguera M , El Kenawy A 
Published: June 2020

Abstract
We present a long-term assessment of precipitation trends in Southwestern Europe (1850–2018) using data from multiple sources, including observations, gridded datasets and global climate model experiments. Contrary to previous investigations based on shorter records, we demonstrate, using new long-term, quality controlled precipitation series, the lack of statistically significant long-term decreasing trends in precipitation for the region. Rather, significant trends were mostly found for shorter periods, highlighting the prevalence of interdecadal and interannual variability at these time-scales. Global climate model outputs from three CMIP experiments are evaluated for periods concurrent with observations. Both the CMIP3 and CMIP5 ensembles show precipitation decline, with only CMIP6 showing agreement with long term trends in observations. However, for both CMIP3 and CMIP5 large interannual and internal variability among ensemble members makes it difficult to identify a trend that is statistically different from observations. Across both observations and models, our results make it difficult to associate any declining trends in precipitation in Southwestern Europe to anthropogenic forcing at this stage.
The Realization of Intelligent Knowledge Adaptive Learning Method in the Field of Substation Operation and Maintenance
Authors: Yin Jianlin , Liang Yali , Gao Qi , Liu Lu , Lei Yabin , Zhao Xilan 
Published: June 2020

Abstract
In view of the lack of targeted and personalized knowledge learning in existing substation operators, this paper proposes an intelligent adaptive knowledge learning method in the field of substation operation and maintenance. First, an adaptive knowledge learning system is established including domain model, user model, teaching model and adaptive engine. In the user model, the item response theory (IRT) is used to estimate the learner’s master degree of knowledge points contained in the domain model, and then their learning needs are obtained. Meanwhile, the Bayesian network method is used to speculate the cognitive style of learners. On the basis of a comprehensive consideration of learning needs and cognitive style, the particle swarm optimization algorithm (PSO) in the teaching model is used to recommend the optimal learning resource for learners to realize the high-efficiency personalized knowledge learning in substation operation and maintenance.
A Non-intrusive home load identification method based on adaptive reinforcement learning algorithm
Authors: Li Haoyang 
Published: June 2020

Abstract
At present, the load data collection of residential users mainly starts from the lower acquisition frequency, so the non-intrusive home load identification method based on low frequency sampling has attracted wide attention. However, low-frequency sampling has a low recognition accuracy when the training data set is small. Therefore, a non-intrusive home load identification method based on adaptive KNN reinforcement learning algorithm is proposed. The method firstly analyzes the state of the electrical appliance by KNN to obtain the initial HMM model, and then solves the HMM model by adaptive KNN reinforcement learning algorithm to obtain the optimal state transition strategy. This method reduces the model pair data. The dependence improves the recognition accuracy of the model and the adaptability to new data. Finally, the experimental verification is carried out by the low frequency data set AMPds. The results show that the method improves the state recognition accuracy of the electrical appliance and enhances the adaptability of the algorithm to new data.
Recursive-Biased-Generalized-Inverse Method for Thrust Allocation for Dynamic Positioning Vessels with Non-Rotatable Thrusters and Force Constraints
Authors: Zhao Bo , Xia Guoqing 
Published: June 2020

Abstract
This paper presents a novel method for thrust allocation for DP vessels with non-rotatable thrusters and force constraints. It uses a modified cost function of the thrust allocation problem for non-rotatable thruster and without force constraints, such that the force constraint can be handled. The proposed method runs in a recursive way to minimize the allocation error. The proposed method is different from the known methods in the literature. The completeness and continuity of the proposed algorithm are studied to verify the effectiveness of the proposed method.
Design of power well cover wireless monitoring system based on freeRTOS and NB-IoT technology
Authors: Wang Wei , Xie Tairong , Hu Xianhua 
Published: June 2020

Abstract
Power well cover monitoring system (PWC-MS) based on the embedded microprocessor ARM Cortex-M3 with FreeRTOS is proposed in this paper. The software functions of the terminal are divided into four tasks, namely, watchdog refresh and flag monitoring task, system status light task, non-debug sensor mode task, and debug sensor mode task. The priority levels of tasks depend on real-time requirement. The temperature and humidity sensor RS-WS-N01-2-2 and the dual-axis tilt sensor ADXL345 are adopted in the terminal and the sampling data is sent to the IoT (Internet of Things) platform via the NB-IoT communication module BC35-G. The software of application layer in the IoT platform is developed based on the Spring Cloud and database technology with Java language. User can get the real-time data through the Web page. Experiments show that the PWC-MS works well and the real-time alarm can be realized immediately.
A Mobile Robot Recognize Blurred Targets via an Improved Histogram Equalization
Authors: Zhang Longzhi , Wu Dongmei 
Published: June 2020

Abstract
Target recognition is a precondition for guiding robots to complete tasks. However, if the target is blurred, recognition will be difficult, which will lead to an inefficiency operation for robots. For the sake of improving the robot operation efficiency, it is essential to improve the image quality of recognized blurred target. Since image enhancement is taken as a powerful ways for improving image quality, it has gained largely attentions from researches. In fact, most of enhance methods are proposed based on histogram equalization, and until present, focus of research is still on improvements of histogram equalization. Hence, this paper proposes an improved histogram equalization for blurred targets in mobile robot recognition. Compared with the traditional histogram equalization methods, our method has less calculation time and better performance of real-time. Furthermore, the proposed approach also has strong robustness in blurred target recognition via a mobile robot.
On Computation of Fractional-Order Differentiations
Authors: Ebihara Soichiro , Hori Noriyuki 
Published: June 2020

Abstract
It is shown in this paper that the conventional approach for computing fractional-order differentiation using gamma-functions can lead to numerical difficulties and result in large errors. To overcome this issue, a new algorithm based on matrix computations is proposed. Typical simulation results are presented to explain the concepts and show that, while the gamma-function-based derivative diverges away from the analytical derivative, the proposed technique does not at least for the range of discrete-time periods tested. However, the computation time required with the proposed method is longer, at present, than the conventional method, and further research is on-going.
A decision-making technique for solving order allocation problem using a genetic algorithm
Authors: Ahmad Ijaz , Liu Yan , Javeed Danish , Ahmad Shahab 
Published: June 2020

Abstract
The selection of proper suppliers is one of the most complicated works of the purchasing department. Today, supplier selection includes different conflicting objectives. Because of contradictory multi-objective supplier selection is solving by using decision-making technique. This paper is presented a modified genetic algorithm by using a combination of crossover operators, Order crossover (OX), Simulated binary crossover (SBX) to assign the optimal order quantities to each supplier, with criteria of transportation cost, product quality, and delivery time with a quantity discount. The result shows that the modified genetic algorithm is an allocated optimal order for multi vendors with improves quality as well as less computational times.
Research on target detection of carrier-based aircraft based on deep convolutional neural network
Authors: Xingdong Zhu , Shaobing Tian , Jiali Fan , Zheng Wang , Tianqing Liu 
Published: June 2020

Abstract
Aiming at the problem that the aircraft carrier deck carrier is dense and easy to block, the carrier aircraft target is difficult to detect, and the detection effect is easily affected by the illumination condition and target scale. Based on the YOLO v3 target detection model, the loss function weighted and linear attenuation NMS strategy is proposed. The experimental results show that the proposed improved method can automatically and comprehensively extract the target characteristics of the carrier aircraft. Compared with the original YOLO v3 detection model, the improved model has a good detection effect on the occlusion aircraft target, the detection accuracy and speed can meet the actual needs, and the adaptability is strong under different illumination conditions and target scales, and the model is highly robust.
The Sturm-Liouville problem of two-body system
Authors: Luo Siwei 
Published: June 2020

Abstract
The two-body system is of great interest and complexity. To study the evolution of the two-body system under the influence of torque, a new Sturm-Liouville equation

Lu

′

′

+
Lu
=

1

L

is derived from the Newtonian mechanism. Its solutions and the eigenvalue problem are investigated.
Epidemiologists Count: The Role of Diversity and Inclusion in the Field of Epidemiology
Authors: Ðoàn Lan N , Bacong Adrian M , Ma Kris Pui Kwan , Morey Brittany N 
Published: June 2020

AbstractWe present interpretations of the idea that “epidemiologists count” in response to the current status of membership and diversity and inclusion efforts within the Society for Epidemiological Research (SER). We review whom epidemiologists count to describe the (mis)representation of SER membership and how categorizations of people reflect social constructions of identity and biases that exist in broader society. We argue that what epidemiologists count—how diversity and inclusion are operationalized—has real-world implications on institutional norms and how inclusive/non-inclusive environments are. Finally, we examine which epidemiologists count within the field and argue that inclusion can only be achieved when we address how resources and opportunities are distributed among epidemiologists. To improve diversity and inclusion within SER and beyond, we recommend that SER strengthen its commitment to diversity, inclusion, and equity by: 1) integrating this priority on all agendas; 2) enhancing efforts to improve self-awareness among members and accountability within the organization; 3) supporting the growth of a diversifying workforce in epidemiology; and 4) increasing the visibility of health disparities research and researchers in epidemiology.
Endozoochory of Chrysobalanus icaco (Cocoplum) by Gopherus polyphemus (Gopher Tortoise) facilitates rapid germination and colonization in a suburban nature preserve
Authors: Hanish Carolyn J , Velez Sebastian , Moore Jon A , Devin Anderson Corey 
Published: June 2020

AbstractSome large-seeded plants lack effective seed dispersal agents when they are introduced as ornamental plants to new areas, but can rapidly colonize a landscape if seed dispersal functions are restored. We examined whether Gopherus polyphemus (Gopher Tortoise) facilitated the spread of Chrysobalanus icaco (Cocoplum; Chrysobalanaceae) over a 14-year period in a suburban nature preserve (in Jupiter, FL, USA) by: (i) comparing germination patterns among gut-passed, hand-depulped and whole fruit treatments, and (ii) testing hypotheses about environmental predictors of the spatial distribution of C. icaco, including information about G. polyphemus movement pathways and burrow locations. While we did not find a significant difference in the total proportion of C. icaco seeds that germinated in each treatment, time to event analysis revealed that seeds that were found in faeces germinated significantly earlier than seeds that were hand-depulped or that were planted as whole fruits, supporting a lone scarification effect. Point process modeling revealed that the density of C. icaco bushes was higher near G. polyphemus movement pathways and was lower inside Serenoa repens (Saw Palmetto) patches, supporting a positive effect of tortoise movement patterns on plant distributions. The density of C. icaco increased from west to east, consistent with westward dispersal from the four founder bushes on the east side of the study area. After removal of outliers, we also detected a negative association between C. icaco spatial density and G. polyphemus burrow density that was presumably explained by the fact that seeds defecated deep within burrows were unlikely to germinate and establish without secondary movement. The results suggest that G. polyphemus contributed to the rapid dispersal of C. icaco by scatter dispersal of seeds (via faeces) in areas where tortoises were active and that movement pathways provided suitable conditions for colonization. The spread of C. icaco by G. polyphemus over a relatively short period of time provides a valuable window into the earliest stages of the colonization process and further supports the role of Chelonians as effective seed dispersal agents for large-seeded plants.
Periprosthetic Fluid Analysis in the Diagnosis of Breast Implant Infections Using Cell Count and Differential
Authors: Stewart Christopher N , Liu Bill B , Zheng Eugene E , Tuttle Sue-Mi C 
Published: June 2020

Abstract

Background
One of the most devastating complications following implant-based breast reconstruction is periprosthetic infection. Making a prompt and accurate diagnosis has been a challenge as plastic surgeons are limited by nonspecific systemic markers of infection, clinical examination findings, or imaging modalities.

Objectives
The aim of this study is to evaluate the use of periprosthetic fluid using cell count and differential as an aid in the diagnosis of infection.

Methods
This is a retrospective chart review. The authors selected patients who underwent breast reconstruction and had periprosthetic fluid analysis during the previous 10 years based on CPT 89051 (cell count and differential, body fluid). Only patients with clinical concerns for infection were included (cellulitis, fever, etc.); all others were excluded.

Results
A total of 54 samples were included in the study. Twenty-seven samples were associated with periprosthetic breast infections based on positive cultures or intraoperative findings consistent with infection. On fluid analysis, those with infection had a significantly higher neutrophil percentage (84.2% vs 19.3%, P &lt; 0.0001). A cutoff value of 77% neutrophils had a sensitivity of 89% and a specificity of 93% in diagnosing infection. Delayed treatment in patients with high neutrophil percentage was associated with poorer outcomes. Lastly, there was a strong correlation between higher neutrophil percentage and increased rate of capsular contracture.

Conclusions
Early and accurate diagnosis of periprosthetic breast infections can lead to earlier treatment and potentially improved the outcomes. Aspiration and analysis of periprosthetic fluid for neutrophil percentage can be a reliable method to guide clinical decision making.

Level of Evidence: 3