bluuebunny/crossref_metadata_2025_split huggingface dataset:
A circuit design framework of electromagnetic wave resistivity logging while drilling instrument
Authors: Wu Yao , Yang Hao , Meng Zhuoran , Wei Yiduo , Liu Xiangzheng , Li Anzong 
Published: April 2022

Abstract
Formation resistivity is an important geological parameter necessary for geosteering drilling and oilfield formation evaluation. At present, the mainstream resistivity measurement methods mainly include current measurement and electromagnetic wave measurement. Current resistivity measurement is difficult to be applied in drilling fluids with poor conductivity or non-conductivity, while electromagnetic wave resistivity measurement is suitable for various types of conductive and non-conductive drilling fluids. Nowadays, the most important geological guiding tool for Sichuan-Chongqing Shale Gas, Xinjiang Oilfield, Jilin Oilfield, Daqing Oilfield and Qinghai Oilfield Company rely on electromagnetic wave resistivity measurement, and the market demand is about 90 million yuan per year. Western Drilling, Chuanqing Drilling and Bohai Drilling have more than 100 branches of electromagnetic wave resistivity logging while drilling instrument, and the market demand is about 21 ∼30 million yuan per year. Domestic electromagnetic wave resistivity logging while drilling instrument mainly rely on imports. At the same time, after field application, it needs to be sent back to the original factory for maintenance. Therefore, it is very necessary to design an electromagnetic wave resistivity logging while drilling instrument with independent intellectual property rights.
Application of oscillatory time frequency manifold for extraction of rolling element bearing fault signature
Authors: Li Lei , Noman Khandaker , Li Yongbo , Fu Hao , Deng Zichen 
Published: April 2022

Abstract
To overcome the problem that traditional feature extraction algorithms are sensitive to noise, a bearing fault signature extraction scheme is proposed in this paper with the help of oscillation-based signal decomposition and time frequency manifold (TFM) learning. Firstly, an oscillation-based signal component separation method based on tunable Q factor wavelet transform (TQWT) is utilized to separate the low oscillatory component from vibration signals. Then, concept of TFM is utilized on the separated low oscillatory component to generate the low oscillatory time frequency manifold signature. The proposed method is termed as oscillatory time frequency manifold (OTFM). Compared to that of traditional short time Fourier transform (STFT) and original TFM algorithm, results of experiment show that the proposed algorithm has better time frequency characterization ability for bearing fault signature.
Dynamic trajectory tracking method of UAV using L1 Adaptive Control
Authors: Xie Kaizhou , Gong Zheng , Bai Yalei 
Published: April 2022

Abstract
An attitude control method based on the L1 adaptive structure was proposed for the quadrotor aircraft with nonlinear, strong coupling, and underactuated characteristics during flight. Then introducing a dynamic point trajectory algorithm to solve the problem that traditional linear controller lacks robustness in the quadrotor aircraft. The adaptive controller can quickly estimate the state of the system then track and compensate for interference items. The dynamic point trajectory algorithm was able to calculate the expected trajectory and trajectory deviation of the disturbed aircraft, which improved the anti-interference ability and fault tolerance ability of the system. The simulation results indicate that the flight control system designed based on the L1 adaptive dynamic point method is qualified for achieving high-precision trajectory tracking control and the system has strong anti-interference capability and robustness in the nonlinear state.
Flight Control Simulation and Flight Test of Foldable Rotor UAV
Authors: Xu Jiulong , Hao Yongping , Wang Shoutai 
Published: April 2022

Abstract
Aiming at the short endurance time of micro-rotor UAV, based on the analysis of the structural characteristics and the working principle of rotor UAV, a design scheme of foldable quad-rotor UAV based on c is proposed. The feasibility of cascade PID control method is verified by co-simulation and analysis with ADAMS dynamics simulation software and MATLAB. Through the comparison of the flight test results, the feasibility of the designed control algorithm for the attitude control of the foldable quadrotor UAV is verified. Flight test shows that the UAV can achieve foldable function on the basis of stable hovering and high flight, achieved good results.
Research on Space Rapid Response Launch System based on Data Link
Authors: Wu Feng , Wang Jia , Liu Ying , Liu Yang , Wang Min 
Published: April 2022

Abstract
Space rapid response launch system based on data link is relying on high orbit communication satellites and low orbit comprehensive constellation, to construct the data link tactical time-sensitive network space-based plane, with features of full coverage, wide area interconnection, machine interconnection, flat networking and mobile disturbance rejection, to provide the wide-area multi-field, ocean-sea container, multi-batch rapid response launch capability. This paper has carried out the research on application requirements in combination of the data link and the space rapid response launch, the basic structure of space rapid response launch system based on data link, and the adaptive design method of the rocket and launch unit, so as to promote the generation of multi-domain self-organizing collaborative launch capability.
Research on Prognostic and Health Management of Inertial Navigation System
Authors: Wu Ji 
Published: April 2022

Abstract
Prognostic and health management (PHM) system significantly reduces costs of maintenance, utilization, and assurance, and improves safety and availability of aircraft. By drawing on and absorbing foreign advanced experience, this paper deeply studies the key technology of PHM, and combines the specific features of the inertial navigation system to determine the program flow of the PHM system. This paper is described PHM technical related elements, which can be reformed the design of Inertial Navigation System and can push the development of the condition-based maintenance and PHM system.
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
*
Authors: Lupo Pasini Massimiliano , Zhang Pei , Temple Reeve Samuel , Youl Choi Jong 
Published: April 2022

Abstract
We introduce a multi-tasking graph convolutional neural network, HydraGNN, to simultaneously predict both global and atomic physical properties and demonstrate with ferromagnetic materials. We train HydraGNN on an open-source ab initio density functional theory (DFT) dataset for iron-platinum with a fixed body centered tetragonal lattice structure and fixed volume to simultaneously predict the mixing enthalpy (a global feature of the system), the atomic charge transfer, and the atomic magnetic moment across configurations that span the entire compositional range. By taking advantage of underlying physical correlations between material properties, multi-task learning (MTL) with HydraGNN provides effective training even with modest amounts of data. Moreover, this is achieved with just one architecture instead of three, as required by single-task learning (STL). The first convolutional layers of the HydraGNN architecture are shared by all learning tasks and extract features common to all material properties. The following layers discriminate the features of the different properties, the results of which are fed to the separate heads of the final layer to produce predictions. Numerical results show that HydraGNN effectively captures the relation between the configurational entropy and the material properties over the entire compositional range. Overall, the accuracy of simultaneous MTL predictions is comparable to the accuracy of the STL predictions. In addition, the computational cost of training HydraGNN for MTL is much lower than the original DFT calculations and also lower than training separate STL models for each property.
Expanding the Galaxy’s reference data
Authors: VijayKrishna Nagampalli , Joshi Jayadev , Coraor Nate , Hillman-Jackson Jennifer , Bouvier Dave , van den Beek Marius , Eguinoa Ignacio , Coppens Frederik , Davis John , Stolarczyk Michał , Sheffield Nathan C , Gladman Simon , Cuccuru Gianmauro , Grüning Björn , Soranzo Nicola , Rasche Helena , Langhorst Bradley W , Bernt Matthias , Fornika Dan , de Lima Morais David Anderson , Barrette Michel , van Heusden Peter , Petrillo Mauro , Puertas-Gallardo Antonio , Patak Alex , Hotz Hans-Rudolf , Blankenberg Daniel 
Published: April 2022

Abstract

Summary
Properly and effectively managing reference datasets is an important task for many bioinformatics analyses. Refgenie is a reference asset management system that allows users to easily organize, retrieve and share such datasets. Here, we describe the integration of refgenie into the Galaxy platform. Server administrators are able to configure Galaxy to make use of reference datasets made available on a refgenie instance. In addition, a Galaxy Data Manager tool has been developed to provide a graphical interface to refgenie’s remote reference retrieval functionality. A large collection of reference datasets has also been made available using the CVMFS (CernVM File System) repository from GalaxyProject.org, with mirrors across the USA, Canada, Europe and Australia, enabling easy use outside of Galaxy.

Availability and implementation
The ability of Galaxy to use refgenie assets was added to the core Galaxy framework in version 22.01, which is available from https://github.com/galaxyproject/galaxy under the Academic Free License version 3.0. The refgenie Data Manager tool can be installed via the Galaxy ToolShed, with source code managed at https://github.com/BlankenbergLab/galaxy-tools-blankenberg/tree/main/data_managers/data_manager_refgenie_pull and released using an MIT license. Access to existing data is also available through CVMFS, with instructions at https://galaxyproject.org/admin/reference-data-repo/. No new data were generated or analyzed in support of this research.
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain
Authors: Lange Lukas , Adel Heike , Strötgen Jannik , Klakow Dietrich 
Published: April 2022

AbstractMotivationThe field of natural language processing (NLP) has recently seen a large change toward using pre-trained language models for solving almost any task. Despite showing great improvements in benchmark datasets for various tasks, these models often perform sub-optimal in non-standard domains like the clinical domain where a large gap between pre-training documents and target documents is observed. In this article, we aim at closing this gap with domain-specific training of the language model and we investigate its effect on a diverse set of downstream tasks and settings.ResultsWe introduce the pre-trained CLIN-X (Clinical XLM-R) language models and show how CLIN-X outperforms other pre-trained transformer models by a large margin for 10 clinical concept extraction tasks from two languages. In addition, we demonstrate how the transformer model can be further improved with our proposed task- and language-agnostic model architecture based on ensembles over random splits and cross-sentence context. Our studies in low-resource and transfer settings reveal stable model performance despite a lack of annotated data with improvements of up to 47 F1 points when only 250 labeled sentences are available. Our results highlight the importance of specialized language models, such as CLIN-X, for concept extraction in non-standard domains, but also show that our task-agnostic model architecture is robust across the tested tasks and languages so that domain- or task-specific adaptations are not required.Availability and implementationThe CLIN-X language models and source code for fine-tuning and transferring the model are publicly available at https://github.com/boschresearch/clin_x/ and the huggingface model hub.
Examining the shape and size of female and male genitalia in snakes using three-dimensional geometric morphometrics
Authors: Lara Granados Genesis , Greenwood Juliet , Secor Stephen , Shan Shan , Hedrick Brandon P , Brennan Patricia L R 
Published: April 2022

Abstract
Quantification of genital variation in males and females can inform our understanding of likely copulatory interactions and evolution of genital diversity. However, no studies have quantified genital shape variation within a single snake species or examined the shape and size of both the vaginal pouch and hemipenes. Here, we examine the shape and size of the genitalia of female and male diamondback water snakes, Nerodia rhombifer, using a three-dimensional automated landmark geometric morphometric approach on models of the lumen of the vaginal pouch and inflated hemipenes, applying these techniques for the first time to the genital shape of vertebrates. Vaginal pouch shape is significantly associated with body size and reproductive status. As females grow larger and become reproductive, the vaginal pouch enlarges, widens and becomes more bifurcated. In reproductive males, the shape of the hemipenes is also significantly associated with body size. As males grow larger, the hemipenes enlarge and widen; their bifurcation becomes more defined and the spines at the base become more prominent. Vaginal pouch and hemipenial centroid size are isometric with respect to body length. The centroid sizes of the hemipenes and vaginal pouch are not significantly different from one another, hence the genitalia match in size. Reproductive females and males covary in the degree of bifurcation and size of their genitalia. We demonstrate the utility of three-dimensional analysis in studies of the shape of soft tissues and advocate its use in future studies of genitalia.
Reproductive complications after stroke: Long-lasting impairment of gonadotropin-releasing hormone neuronal network?
Authors: Salehi Mohammad Saied , Pandamooz Sareh , Tamadon Amin , Jafarzadeh Shirazi Mohammad Reza , Borhani-Haghighi Afshin 
Published: April 2022

AbstractSome studies have demonstrated that stroke may increase the risk of pregnancy complications and early menopause. In addition, preclinical investigations revealed the middle cerebral artery occlusion could affect hypothalamus. Since hypothalamus is the core of central circuits regulating reproductive processes, impairment of hypothalamic gonadotropin-releasing hormone neuronal network following stroke might be manifested in long-lasting reproductive disorders.
Airflow Patterns in Double-Occupancy Patient Rooms May Contribute to Roommate-to-Roommate Transmission of Severe Acute Respiratory Syndrome Coronavirus 2
Authors: Cadnum Jennifer L , Jencson Annette L , Alhmidi Heba , Zabarsky Trina F , Donskey Curtis J 
Published: April 2022

Abstract

Background
Hospitalized patients are at risk to acquire severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from roommates with unrecognized coronavirus disease 2019 (COVID-19). We hypothesized that airflow patterns might contribute to SARS-CoV-2 transmission in double-occupancy patient rooms.

Methods
A device emitting condensed moisture was used to identify airflow patterns in double-occupancy patient rooms. Simulations were conducted to assess transfer of fluorescent microspheres, 5% sodium chloride aerosol, and aerosolized bacteriophage MS2 between patient beds 3 meters apart and to assess the effectiveness of privacy curtains and portable air cleaners in reducing transfer.

Results
Air flowed from inlet vents in the center of the room to an outlet vent near the door, resulting in air currents flowing toward the bed adjacent to the outlet vent. Fluorescent microspheres (212–250-µm diameter), 5% sodium chloride aerosol, and aerosolized bacteriophage MS2 released from the inner bed were carried on air currents toward the bed adjacent to the outlet vent. Closing curtains between the patient beds reduced transfer of each of the particles. Operation of a portable air cleaner reduced aerosol transfer to the bed adjacent to the outlet vent but did not offer a benefit over closing the curtains alone, and in some situations, resulted in an increase in aerosol exposure.

Conclusions
Airflow patterns in double-occupancy patient rooms may contribute to risk for transmission of SARS-CoV-2 between roommates. Keeping curtains closed between beds may be beneficial in reducing risk.
Occult myocardial infarction due to an unusual cause: a case report of periarteritis involving the left coronary artery
Authors: Liu Xiaoyan , Zhao Yan , Wu Naqiong , Zhang Wenjia 
Published: April 2022

AbstractBackgroundImmunoglobulin G4-related disease (IgG4-RD) is an immune-mediated condition that affects multiple organs and systems.Case summaryA 51-year-old man with a history of occult left apex myocardial infarction diagnosed based on electrocardiographic and echocardiographic findings underwent coronary computed tomography (CT) angiography for the evaluation of coronary artery disease; the findings revealed a soft-tissue mass that surrounded the aortic root and the distal portion of the left coronary artery. The mass was considered an inflammatory lesion; high glucose uptake on positron emission tomography/CT supported this assumption. Coronary angiography revealed 80% stenosis of the distal portion of the left anterior descending artery, which corresponded with the infarction. Intravascular ultrasound revealed hypoechoic regions outside the lumina of the stenotic segment. Based on these findings, IgG4-related periaortitis/periarteritis was suspected; the patient was accordingly treated with oral prednisone and methotrexate. At the 3-month follow-up, the periaortic mass had slightly reduced in size.DiscussionIdentification and diagnosis of IgG4-related cardiovascular disease are challenging; cases with localized coronary artery involvement may be misdiagnosed as atherosclerotic coronary artery disease. Although imaging techniques, including intracoronary imaging, may aid in differential diagnosis, their sensitivity and specificity still warrant further studies. Practical criteria that facilitate diagnosis and a better understanding of the disease are required.
Repurposing the PDMA-approved drugs in Japan using an insect model of staphylococcal infection
Authors: Miyashita Atsushi , Mitsutomi Shuhei , Mizushima Tohru , Sekimizu Kazuhisa 
Published: April 2022

AbstractA total of 1253 compounds approved as therapeutic drugs in Japan (Pharmaceuticals and Medical Devices Agency (PMDA)-approved compounds) were screened for their therapeutic effects against Staphylococcus aureus infection using the silkworm infection model. In the first stage of screening with an index of prolonged survival, 80 compounds were identified as hits. Of these, 64 compounds were clinically used as antimicrobial agents, and the remaining 16 compounds were not. The 16 compounds were examined for their dose-dependent therapeutic effects on the silkworm model as a second screening step, and we obtained five compounds as a result. One of the compounds (capecitabine) had no documented in vitro minimum inhibitory concentration (MIC) value against S. aureus. The MIC value of capecitabine against S. aureus strains ranged from 125 to 250 µg/ml, and capecitabine was therapeutically effective at a dose of 200 mg/kg in a murine model of S. aureus infection. These results suggest that silkworm-based drug repositioning studies are of potential value. Furthermore, the therapeutic effects of capecitabine demonstrated in this study provide an important scientific rationale for clinical observational studies examining the association between staphylococcal infection events and capecitabine administration in cancer chemotherapy patients.
Con: freeze-all for all? One size does not fit all
Authors: Vuong Lan N 
Published: April 2022

ABSTRACT
IVF has traditionally involved transfer of fresh embryos. However, a ‘freeze-all’ strategy where all embryos are cryopreserved for transfer in subsequent, unstimulated cycles has emerged as an alternative approach. This is thought to eliminate the negative effects of controlled ovarian stimulation on the endometrium and reduce the risk of ovarian hyperstimulation syndrome (OHSS). There are a growing number of studies evaluating live birth rates after use of a freeze-all versus fresh embryo transfer (ET) strategy. However, results to date are inconsistent. Certainly, the benefits of a freeze-all strategy appear to be less clear cut in ovulatory women with infertility, while those with a good ovarian response (more than 10 or 15 oocytes retrieved) may be suitable candidates. Variable responses to a freeze-all strategy compared with fresh ET have also been reported depending on whether cleavage stage embryos or blastocysts were transferred. In terms of safety, the risk of OHSS appears to be lower with a freeze-all strategy. For other safety endpoints, some appear to be better when a freeze-all approach is used (e.g. rates of pregnancy loss/miscarriage, preterm delivery, low birthweight and small for gestational age) while other complications are more common (e.g. hypertensive disorders of pregnancy/pre-eclampsia, large for gestational age and high birthweight). Preliminary longer-term data suggest that a freeze-all strategy does not have a negative impact on childhood development. Other factors to consider include time to pregnancy (longer after freeze-all) and the relative cost-effectiveness of the two approaches. Available data are too inconsistent to allow a freeze-all approach to be recommended for all patients. Instead, a personalized, balanced approach should be taken based on individual patient characteristics (especially steroid hormone levels on the day of trigger) and incorporating patient preference. While a freeze-all strategy might be the right choice for some patients, freeze-all is definitely not good for all.
Irreducibility of a Universal Prym–Brill–Noether Locus
Authors: Bud Andrei 
Published: April 2022

Abstract
For genus $g = \frac {r(r+1)}{2}+1$, we prove that via the forgetful map, the universal Prym–Brill–Noether locus $\mathcal {V}^r_g$ has a unique irreducible component dominating the moduli space $\mathcal {R}_g$ of Prym curves.
Plasma SARS-CoV-2 RNA Levels as a Biomarker of Lower Respiratory Tract SARS-CoV-2 Infection in Critically Ill Patients With COVID-19
Authors: Jacobs Jana L , Naqvi Asma , Shah Faraaz A , Boltz Valerie F , Kearney Mary F , McVerry Bryan J , Ray Prabir , Schaefer Caitlin , Fitzpatrick Meghan , Methé Barbara , Lee Janet S , Morris Alison , Mellors John W , Kitsios Georgios D , Bain William 
Published: April 2022

Abstract
Plasma SARS-CoV-2 viral RNA (vRNA) levels are predictive of COVID-19 outcomes in hospitalized patients, but whether plasma vRNA reflects lower respiratory tract (LRT) vRNA levels is unclear. We compared plasma and LRT vRNA levels in serially collected samples from mechanically ventilated patients with COVID-19. LRT and plasma vRNA levels were strongly correlated at first sampling (n = 33, r = 0.83, P &lt; 10−9) and then declined in parallel in available serial samples except in nonsurvivors who exhibited delayed vRNA clearance in LRT samples. Plasma vRNA measurement may offer a practical surrogate of LRT vRNA burden in critically ill patients, especially early after ICU admission.