bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of titanium diaphragms for space propellant tank
Authors: Zhang Hai , Gu Sendong , Zhang Jianjun , Ouyang Ruijie , Yu Bin , Yang Wenbo , Zhang Xiao 
Published: September 2022

Abstract
The fundamental structure of the space propellant tank is introduced. The design flow and the numerical simulation method of a typical metal diaphragm are proposed. Then, a range of 237mm diameter titanium diaphragms with different bottom fillet radiuses are designed. Based on the arc-length method, a series of finite element models of the reversal process of these titanium diaphragms are developed. With the aid of the models, this paper analyzes the effect of bottom fillet radius on pressures differential to roll the titanium diaphragms. The results show that the critical pressure increases with the decrease of the bottom fillet radius. A near linear increase is found, which indicated that the bottom fillet radius has a certain effect on the critical pressure. The maximum equivalent von mises stress increases with the decrease of the bottom fillet radius. The increase leads to the increase of the critical pressure. In addition, the deformation of the diaphragms becomes more and more instable with the decrease the bottom fillet radius.
Adaptive sampling strategy of five-axis inspection for free-form surface reconstruction
Authors: Zhang Wenze , Shen Yijun , Zhang Yaqi , Zhang Jun , Zhang Yang 
Published: September 2022

Abstract
Five-axis inspection is widely used for measuring free-form surfaces, which require high-precision surface reconstruction for quality analysis, remanufacturing and so on. Nevertheless, existing sampling strategies for five-axis inspection neither make full use of surface characteristics nor are they able to pre-calculate the number of paths based on the required surface reconstruction error. To solve these problems, we propose an adaptive sampling strategy aiming at improving the precision of surface reconstruction without affecting the inspection efficiency. The proposed algorithm uses the chord height of corresponding points between two adjacent sampling paths as a criterion to determine the distribution and shape adjustment of the sampling paths. Experiments proved that the proposed algorithm can improve the surface reconstruction by 26.3% in terms of the maximum error and 19.5% in terms of the mean error compared with two traditional sampling algorithms.
High subsonic and low reynolds number airfoil optimization of high-altitude propeller
Authors: Li Dichen , Yang Long , Wei Chuang 
Published: September 2022

Abstract
This paper presents an airfoil optimization at high subsonic and low Reynolds number condition, to improve the efficiency of an E387-based HALE UAV propeller at cruising condition. The optimization design method is based on surrogate model coupled with validated RANS simulation. The optimal airfoil shape is flat and sharp leading-edged, which remarkably differs from the original and resembles a very thin airfoil in reversed configuration. Significant increment of lift-to-drag ratio and aerodynamical independency of Mach and Reynolds number were observed due to expanded supersonic flow region, weakened shock wave, and considerably reduced flow separation. By applying the optimized airfoil to propeller outboard, the new propeller’s efficiency increased more than 2%, while maintained required thrust, as proved by both Blade Element Theory and CFD simulation.
A moving target trajectory prediction method based on neighborhood fitting
Authors: He Sihua , Liu Chenghao , Li Junhua 
Published: September 2022

Abstract
In order to solve the influence of time delay and data frame loss on the tracking accuracy of high mobility target, a moving target trajectory prediction method based on neighborhood fitting is proposed. The influence of neighborhood width, polynomial order and prediction steps on prediction accuracy are analyzed, and suggestions on parameter selection are given. Four typical moving target trajectories, such as parabola, climb line, spiral line and gyratory line are predicted. The experimental results show that the trajectory prediction method has high accuracy and good stability, and can meet the requirements of moving target tracking.
Optimal guidance method based on conjugate gradient method and pseudospectral method
Authors: Li Yang , Chen Wanchun , Yang Liang 
Published: September 2022

Abstract
This paper aims to propose a method to solve the nonlinear optimal guidance problems with various performance indexes. First, the conjugate gradient method is derived based on the performance indexes of general form and specified form, and the execution steps of the optimal guidance method are obtained. Secondly, the pseudospectral collocation scheme is used to solve some intermediate variables in the algorithm, and the differential equations are transformed into algebraic equations, so as to improve the computational efficiency. Finally, the proposed method is applied to the air-to-ground missile guidance problem. By comparing with the simulation results of GPOPS-II, the optimality of the proposed method is verified. Additionally, the high computational efficiency of the algorithm is also verified.
Cost-Effectiveness analysis model for civil aircraft flight tests
Authors: Sun Mingming , Duan Xinyu , Liu Qingling , Sun Changtai , Song Hao 
Published: September 2022

AbstractFlight tests for civil transport aircraft are a necessary condition for acquiring airworthiness type certification (TC) for new types of aircraft to enter the market. For commercial aircraft, cost control is an important consideration for aircraft development because flight tests are highly complex, time consuming and expensive. As a large and complex system, it is important to evaluate the cost-effectiveness of civil aircraft flight tests. However, due to the large number of and complex relationship between the factors involved in the project, it is extremely difficult to conduct a reasonable cost-effectiveness evaluation. Based upon the characteristics of the flight test mission, this paper analyzes the key indicators which have an important influence on the flight test project during the test, and proposes an operable and reasonable cost-effectiveness evaluation model, which provides the basis for the scientific decision-making of flight test planning.
Research on condition monitoring and fault diagnosis technology of dynamometer in aero-engine test bed
Authors: Lu Weirong , Wang Chaoyu , Gao Fan 
Published: September 2022

Abstract
In the process of engine development, production, improvement and renewal, engine bench test is an indispensable and important link, dynamometer is the main component of the test bed, in the test process the dynamometer will bear a large load, so it will produce violent vibration, easy to produce mechanical failure. The implementation of engine test bed condition monitoring and fault diagnosis can evaluate the health status of mechanical transmission components of the bend and the dynamic performance of the engine under test. This paper implements monitoring and diagnosis of key mechanical parts, through comprehensive analysis of time domain, amplitude domain, frequency domain characteristic information under no-load, low load, high load and other operating conditions to determine the health / unhealthy condition, fault type and fault severity, validity and accuracy of diagnostic conclusions such as rotor imbalance, bearing outer ring failure were verified by the equipment open and maintenance. This case provides practical guidance for the status monitoring and accurate fault location of aero-engine test bed.
Is flood to drip irrigation a solution to groundwater depletion in the Indo-Gangetic plain?
Authors: Joseph Jisha , Scheidegger Johanna M , Jackson Christopher R , Barik Beas , Ghosh Subimal 
Published: September 2022

Abstract
Indian river basins are intensively managed with country-specific agricultural practices of cultivating submerged paddy and uncontrolled groundwater (GW) irrigation. Numerical experiments with the state-of-the-art land surface models, such as variable infiltration capacity (VIC), without incorporating region-specific practices, could be misleading. Here, we coupled VIC with 2D GW model AMBHAS, incorporating India-specific irrigation practices and crop practices, including submerged paddy fields. We performed numerical experiments to understand the causal factors of GW depletion in the northwest Indo-Gangetic plain (IGP). We identify widespread flood irrigation and cultivation of water-intensive paddy as critical drivers of the declining GW scenario. Our numerical experiments suggest that the introduction of drip irrigation reduces GW depletion in the northwest, but does not change the sign of GW level trends. The GW levels in the non-paddy fields of the middle IGP are less sensitive to irrigation practices due to the high return flow to GW for flood irrigation.
Formal stability in Hamiltonian fluid models for plasmas
Authors: Tassi E 
Published: September 2022

AbstractWe review the progress made, during the last decade, on the analysis of formal stability for Hamiltonian fluid models for plasmas, carried out by means of the energy-Casimir (EC) method. The review begins with a tutorial section describing the essential concepts on the Hamiltonian formalism for fluid models and on the EC method, which will be frequently used in the article. Subsequently, a nonlinear stability analysis applied to reduced magnetohydrodynamics (MHD) is described, as paradigmatic example for the application of the EC method. The review of the recent results begins with the equilibrium and formal stability analysis of MHD with general helical symmetry, followed by the treatment of extended MHD. Applications of the EC method to a hybrid MHD-Vlasov model with pressure coupling and to a reduced fluid model accounting for electron temperature anisotropy are described next. The formal stability analysis of compressible reduced MHD is then presented and used to show the connection between the EC method and the classicalδWmethod for MHD stability. The concept of negative energy mode (NEM) is also briefly reviewed and applied to a model for electron temperature gradient (ETG) instability. In the context of the search for equilibria by a variational procedure, which is part of the EC method, we discuss a recent interpretation of the classical tearing modes in terms of singular equilibria of MHD linearized about Beltrami equilibria. Finally, we mention some possible directions for future developments.
i-scope: a compact automated fluorescence microscope for cell counting applications in low resource settings
Authors: Tyagi Arti , Khaware Neha , Tripathi Bramha , Jeet Tushar , Balasubramanian Prabhu , Elangovan Ravikrishnan 
Published: September 2022

Abstract
Fluorescence microscopy has widespread applications across biological sciences. It has been routinely used for cell counting, which provides a preliminary diagnostic test for many infectious diseases. Conventional fluorescence microscopes are bulky, expensive, time-intensive and laborious. They often require trained operators to acquire and analyze data. We report a compact automated digital fluorescence microscopy system, i-scope, for cell counting applications. The i-scope employs a total internal reflection fluorescence (TIRF) mode of sample illumination, along with a brightfield mode. It has a magnification of 30X, an optical resolution of ∼0.2 μm/pixel and offers sample scanning over 20 mm × 20 mm. A custom-written program enables automated image acquisition and analysis, thereby enhancing ease of operation. It has a compact form-factor and has been developed into a standalone system with a processing unit, screen, and other accessories to offer a portable and economic point-of-care diagnostic solution in low-resource settings. We analysed the performance of the i-scope for milk somatic cell enumeration and benchmarked it against that of a conventional fluorescence microscope.
Encapsulated layer induces boundary effect and twist angle adjust absorption in h-BN/graphene/h-BN heterostructure
Authors: Miao Wenjing , Gai Xinwen , Yu Jing , Jin Ying , Wang Jingang 
Published: September 2022

Abstract
This work studied the optical absorption properties and electronic properties of graphene nanosheets encapsulated in h-BN at different twisted angles based on first principles. UV–Vis spectrum shows that compared with the monolayer graphene nanosheets, the absorption’s peak of the encapsulated graphene nanosheets show a red shift and its molar absorption coefficient decreased significantly. The molar absorption coefficients of h-BN/graphene/h-BN heterostructures show an increasing trend when the graphene nanosheets are twisted relative to the packaging layer (twisted angles are 0°, 15°, 21.8°, 27.8° and 30°, respectively). More curiously, charge density difference (CDD) indicates that the region of electron aggregation in excited state mainly occurs at the centre of graphene nanosheets due to the introduction of h-BN packaging layer. The smoothed isosurface diagram of electron hole pairs shows that the distribution breadth of electron hole pair density decreases compared with that before encapsulation, and the distribution breadth of electron increase is larger than that of hole. With the increase of twisted angles, the distribution breadth of electron hole pair density increases gradually. Both CDD and smoothed isosurface diagram show that the system has strong boundary effect. This provides a method to adjust the photoelectric properties of graphene nanosheets by using different twisted angles, and provides a theoretical basis for its application in the field of micro-nano optoelectronics.
Pressure induced band gap shifting from ultra-violet to visible region of RbSrCl3 perovskite
Authors: Asfia Md Borhanul , Jaman Sahadat , Abdur Rashid Mohammad 
Published: September 2022

Abstract
Metal halide perovskites that do not contain lead are non-toxic and offer a wide range of uses in low-cost photovoltaic and optoelectronic systems. In this report, density functional theory is used to explore the influence of pressure (0–150 GPa) on the structural, electronic and optical characteristics of RbSrCl3 perovskite metal halide. At 0 GPa, RbSrCl3 was found to be an indirect wide-bandgap semiconductor. Under pressure, the electronic band gap transforms to visible range direct band gap which is suitable for optoelectronic devices. Higher absorption for RbSrCl3 was found in the ultraviolet region under the influence of different pressures. As the pressure on the halide perovskite increased, absorption peak is shifted to higher energy range. The optical conductivity, reflectivity and extinction coefficient were significantly changed due to induced pressures. The results suggest that under uniform pressure RbSrCl3 can be used in optoelectronic applications.
The Brief Alcohol Use Disorder Severity Scale: An Initial Validation Evaluation
Authors: Donato Suzanna , Nieto Steven , Ray Lara A 
Published: September 2022

Abstract

Aims
The goal of this study was to develop a standard measure of AUD severity that includes multiple dimensions and can be used in clinical settings to inform treatment selection.

Methods
A large sample (n = 1939) of moderate to heavy drinkers was amassed from six psychopharmacology studies. The severity factor was comprised of four dimensions: withdrawal, craving, AUD symptoms and alcohol-related consequences. First, a confirmatory factor analysis (CFA) was conducted to examine model fit. Next, a comprehensive item list from the four measures (i.e. CIWA, DrinC, PACs and SCID-5 AUD criteria) was reduced through exploratory factor analysis (EFA). Once the final items were merged into a preliminary assessment, an EFA was run to observe the factor structure. Initial validation of the measure was obtained via associations with clinical endpoints.

Results
The chi-square test statistic (${\chi}^2(2)=2.432\ P=0.297$) for a single-factor model of severity demonstrated good fit. Additional goodness-of-fit indices from the CFA revealed similar support for the single-factor model of severity (i.e. SRMSR = 0.011; RMSEA = 0.011; CFI = 0.999). Next, nine items from the individual EFAs were selected based on factor loading. The final EFA conducted on the 9-item scale demonstrated that a single factor model of severity best fit the data. Analysis of the psychometric properties revealed good internal consistency ($\alpha$= 0.79).

Conclusions
The current study extends upon the measurement of severity and supports a brief severity measure. This brief 9-item scale can be leveraged in future studies as a screening instrument and as a tool for personalized medicine.
Neuropsychological and Structural Neuroimaging Outcomes in LGI1-Limbic Encephalitis: A Case Study
Authors: Joshi Jarod , Patel Ronak , Figley Chase R , Figley Teresa D , Salter Jennifer , Bernstein Charles N , Marrie Ruth Ann 
Published: September 2022

Abstract

Objective
Anti-leucine-rich glioma-inactivated 1 limbic encephalitis (LGI1-LE) is a rare autoimmune condition that affects the structural integrity and functioning of the brain’s limbic system. Little is known about its impact on long-term neuropsychological functioning and the structural integrity of the medial temporal lobe. Here we examined the long-term neuropsychological and neuroanatomical outcomes of a 68-year-old male who acquired LGI1-LE.

Methods
Our case patient underwent standardized neuropsychological testing at two time points. Volumetric analyses of T1-weighted images were undertaken at four separate time points and qualitatively compared with a group of age-matched healthy controls.

Results
At the time of initial assessment, our case study exhibited focal impairments in verbal and visual episodic memory and these impairments continued to persist after undergoing a course of immunotherapy. Furthermore, in reference to an age-matched healthy control group, over the course of 11 months, volumetric brain imaging analyses revealed that areas of the medial temporal lobe including specific hippocampal subfields (e.g., CA1 and dentate gyrus) underwent a subacute period of volumetric enlargement followed by a chronic period of volumetric reduction in the same regions.

Conclusions
In patients with persisting neurocognitive deficits, LGI1-LE may produce chronic volume loss in specific areas of the medial temporal lobe; however, this appears to follow a subacute period of volume enlargement possibly driven by neuro-inflammatory processes.
SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information
Authors: Li Haoyang , Li Hanmin , Zhou Juexiao , Gao Xin 
Published: September 2022

Abstract

Motivation
Unveiling the heterogeneity in the tissues is crucial to explore cell–cell interactions and cellular targets of human diseases. Spatial transcriptomics (ST) supplies spatial gene expression profile which has revolutionized our biological understanding, but variations in cell-type proportions of each spot with dozens of cells would confound downstream analysis. Therefore, deconvolution of ST has been an indispensable step and a technical challenge toward the higher-resolution panorama of tissues.

Results
Here, we propose a novel ST deconvolution method called SD2 integrating spatial information of ST data and embracing an important characteristic, dropout, which is traditionally considered as an obstruction in single-cell RNA sequencing data (scRNA-seq) analysis. First, we extract the dropout-based genes as informative features from ST and scRNA-seq data by fitting a Michaelis–Menten function. After synthesizing pseudo-ST spots by randomly composing cells from scRNA-seq data, auto-encoder is applied to discover low-dimensional and non-linear representation of the real- and pseudo-ST spots. Next, we create a graph containing embedded profiles as nodes, and edges determined by transcriptional similarity and spatial relationship. Given the graph, a graph convolutional neural network is used to predict the cell-type compositions for real-ST spots. We benchmark the performance of SD2 on the simulated seqFISH+ dataset with different resolutions and measurements which show superior performance compared with the state-of-the-art methods. SD2 is further validated on three real-world datasets with different ST technologies and demonstrates the capability to localize cell-type composition accurately with quantitative evidence. Finally, ablation study is conducted to verify the contribution of different modules proposed in SD2.

Availability and implementation
The SD2 is freely available in github (https://github.com/leihouyeung/SD2) and Zenodo (https://doi.org/10.5281/zenodo.7024684).

Supplementary information
Supplementary data are available at Bioinformatics online.
Systematic replication enables normalization of high-throughput imaging assays
Authors: Hunt Gregory J , Dane Mark A , Korkola James E , Heiser Laura M , Gagnon-Bartsch Johann A 
Published: September 2022

Abstract

Motivation
High-throughput fluorescent microscopy is a popular class of techniques for studying tissues and cells through automated imaging and feature extraction of hundreds to thousands of samples. Like other high-throughput assays, these approaches can suffer from unwanted noise and technical artifacts that obscure the biological signal. In this work, we consider how an experimental design incorporating multiple levels of replication enables the removal of technical artifacts from such image-based platforms.

Results
We develop a general approach to remove technical artifacts from high-throughput image data that leverages an experimental design with multiple levels of replication. To illustrate the methods, we consider microenvironment microarrays (MEMAs), a high-throughput platform designed to study cellular responses to microenvironmental perturbations. In application to MEMAs, our approach removes unwanted spatial artifacts and thereby enhances the biological signal. This approach has broad applicability to diverse biological assays.

Availability and implementation
Raw data are on synapse (syn2862345), analysis code is on github: gjhunt/mema_norm, a reproducible Docker image is available on dockerhub: gjhunt/mema_norm.

Supplementary information
Supplementary data are available at Bioinformatics online.