bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantification of early learning and movement sub-structure predictive of motor performance
Authors: Jakkamsetti Vikram , Scudder William , Kathote Gauri , Ma Qian , Angulo Gustavo , Dobariya Aksharkumar , Rosenberg Roger N. , Beutler Bruce , Pascual Juan M. 
Published: July 2021

AbstractTime-to-fall off an accelerating rotating rod (rotarod) is widely utilized to evaluate rodent motor performance. We reasoned that this simple outcome could be refined with additional measures explicit in the task (however inconspicuously) to examine what we call movement sub-structure. Our goal was to characterize normal variation or motor impairment more robustly than by using time-to-fall. We also hypothesized that measures (or features) early in the sub-structure could anticipate the learning expected of a mouse undergoing serial trials. Using normal untreated and baclofen-treated movement-impaired mice, we defined these features and automated their analysis using paw video-tracking in three consecutive trials, including paw location, speed, acceleration, variance and approximate entropy. Spectral arc length yielded speed and acceleration uniformity. We found that, in normal mice, paw movement smoothness inversely correlated with rotarod time-to-fall for the three trials. Greater approximate entropy in vertical movements, and opposite changes in horizontal movements, correlated with greater first-trial time-to-fall. First-trial horizontal approximate entropy in the first few seconds predicted subsequent time-to-fall. This allowed for the separation, after only one rotarod trial, of different-weight, untreated mouse groups, and for the detection of mice otherwise unimpaired after baclofen, which displayed a time-to-fall similar to control. A machine-learning support vector machine classifier corroborated these findings. In conclusion, time-to-fall off a rotarod correlated well with several measures, including some obtained during the first few seconds of a trial, and some responsive to learning over the first two trials, allowing for predictions or preemptive experimental manipulations before learning completion.
Microlensing of the broad emission lines in 27 gravitationally lensed quasars
Authors: Fian C. , Mediavilla E. , Motta V. , Jiménez-Vicente J. , Muñoz J. A. , Chelouche D. , Hanslmeier A. 
Published: July 2021

Aims. We aim to study the structure and kinematics of the broad line region (BLR) of a sample of 27 gravitationally lensed quasars with up to five different epochs of observation. This sample is composed of ∼100 spectra from the literature plus 22 unpublished spectra of 11 systems.
Methods. We measure the magnitude differences in the broad emission line (BEL) wings and statistically model the distribution of microlensing magnifications to determine a maximum likelihood estimate for the sizes of the C IV, C III], and Mg II emitting regions.
Results. The BELs in lensed quasars are expected to be magnified differently owing to the different sizes of the regions from which they originate. Focusing on the most common BELs in our spectra (C IV, C III], and Mg II), we find that the low-ionization line Mg II is only weakly affected by microlensing. In contrast, the high-ionization line C IV shows strong microlensing in some cases, indicating that its emission region is more compact. Thus, the BEL profiles are deformed differently depending on the geometry and kinematics of the corresponding emitting region. We detect microlensing in either the blue or the red wing (or in both wings with different amplitudes) of C IV in more than 50% of the systems and find outstanding asymmetries in the wings of QSO 0957+561, SDSS J1004+4112, SDSS J1206+4332, and SDSS J1339+1310. This observation indicates that the BLR is, in general, not spherically symmetric and supports the existence of two regions in the BLR, one insensitive to microlensing and another that only shows up when it is magnified by microlensing. Disregarding the existence of these two regions, our estimate for Mg II, R1/2 = 67.3−15.7+3.8 √(M/M⊙) light-days, is in good agreement with previous results from smaller samples, while we obtain smaller sizes for the C III] and CIV lines, R1/2 = 31.0−4.0+1.9 √(M/M⊙) light-days and R1/2 = 15.5−3.9+0.8 √(M/M⊙) light-days, respectively.
Bereaved Parents: Insights for the Antenatal Consultation
Authors: Haward Marlyse F. , Lorenz John M. , Janvier Annie , Fischhoff Baruch 
Published: July 2021

Objective The study aimed to explore experiences of extremely preterm infant loss in the delivery room and perspectives about antenatal consultation.
Study Design Bereaved participants were interviewed, following a semi-structured protocol. Personal narratives were analyzed with a mixed-methods approach.
Results In total, 13 participants, reflecting on 17 pregnancies, shared positive, healing and negative, harmful interactions with clinicians and institutions: feeling cared for or abandoned, doubted or believed, being treated rigidly or flexibly, and feeling that infant's life was valued or not. Participants stressed their need for personalized information, individualized approaches, and affective support. Their decision processes varied; some wanted different things for themselves than what they recommended for others. These interactions shaped their immediate experiences, long-term well-being, healing, and regrets. All had successful subsequent pregnancies; few returned to institutions where they felt poorly treated.
Conclusion Antenatal consultations can be strengthened by personalizing them, within a strong caregiver relationship and supportive institutional practices.
Key Points
Occurrence of Adrenal Suppression in Patients Having Sepsis in Indian Population and Impact of Corticosteroid Supplementation on Its Overall Survival
Authors: Swain Kamalakanta , Nanda Sikata , Jayasingh Sarat Chandra , Routray Sidharth Sraban , Swain Avijit , Sahoo Padmalaya 
Published: July 2021

Abstract
Objective Our aim was to estimate the occurrence of adrenal suppression in critically ill patients with septic shock who have got admission in intensive care unit and to evaluate the effectiveness of hydrocortisone in these patients in relation to mortality of patient, development of septic shock, and effect on total leucocyte count.
Methods Serum cortisol was measured in 120 patients with sepsis. Patients with decreased cortisol level were split in to two groups (group A and B). Group A received 50 mg of hydrocortisone 6 hourly and group B was given matching placebo. At day 7, serum cortisol level was estimated for both A and B groups. The results were calculated and compared with relation to incidence of adrenal insufficiency, development of septic shock, effect on total leucocyte count, and survival at 28 days.
Results The occurrence of adrenal suppression in patients having sepsis in our study was 44 out of 120 patients, that is, 36.6%. After supplementation of corticosteroid for 7 days the mean value of serum cortisol of group A was 40.38 ± 8.44 µg/dL and group B was 24.30 ± 6.47 µg/dL (p < 0.001). At day 7, in group A, 22.7% developed septic shock, whereas in group B, 36.4% developed septic shock (p < 0.001). In group A and B, mortality rate of the patients at 28 days was 18.2 and 22.7%, respectively.
Conclusion Hydrocortisone supplementation in critically ill patients with low random basal serum cortisol level with sepsis does not significantly improve the overall survival.
Training of clinical triage of acute radiation casualties: a performance comparison of on-site versus online training due to the covid-19 pandemic
Authors: Lamkowski Andreas , Combs Stephanie E , Abend Michael , Port Matthias 
Published: July 2021

Abstract
A collection of powerful diagnostic tools have been developed under the umbrellas of NATO for ionising radiation dose assessment (BAT, WinFRAT) and estimate of acute health effects in humans (WinFRAT, H-Module). We assembled a database of 191 ARS cases using the medical treatment protocols for radiation accident victims (n = 167) and the system for evaluation and archiving of radiation accidents based on case histories (n = 24) for training purposes of medical personnel. From 2016 to 2019, we trained 39 participants comprising MSc level radiobiology students in an on-site teaching class. Enforced by the covid-19 pandemic in 2020 for the first time, an online teaching of nine MSc radiobiology students replaced the on-site teaching. We found that: (a) limitations of correct diagnostic decision-making based on clinical signs and symptoms were experienced unrelated to the teaching format. (b) A significant performance decrease concerning online (first number in parenthesis) versus on-site teaching (reference and second number in parenthesis) was seen regarding the estimate time (31 vs 61 cases per hour, two-fold decrease, p = 0.005). Also, the accurate assessment of response categories (89.9% vs 96.9%, p = 0.001), ARS (92.4% vs 96.7%, p = 0.002) and hospitalisation (93.5% vs 97.0%, p = 0.002) decreased by around 3%–7%. The performances of the online attendees were mainly distributed within the lower quartile performance of on-site participants and the 25%–75% interquartile range increased 3–7-fold. (c) Comparison of dose estimates performed by training participants with hematologic acute radiation syndrome (HARS) severity mirrored the known limitations of dose alone as a surrogate parameter for HARS severity at doses less than 1.5 Gy, but demonstrated correct determination of HARS 2–4 and support for clinical decision making at dose estimates >1.5 Gy, regardless of teaching format. (d) Overall, one-third of the online participants showed substantial misapprehension and insecurities of elementary course content that did not occur after the on-site teaching.
Asymptotic analysis of the Boltzmann equation for dark matter relic abundance
Authors: Morrison Logan A. , Patel Hiren H. , Ulbricht Jaryd F. 
Published: July 2021

Abstract
A solution to the Boltzmann equation governing the thermal relic abundance of cold dark matter is constructed by matched asymptotic approximations. The approximation of the relic density is an asymptotic series valid when the abundance does not deviate significantly from its equilibrium value until small temperatures. Resonance and threshold effects are taken into account at leading order and found to be negligible unless the annihilation cross section is negligible at threshold. Comparisons are made to previously attempted constructions and to the freeze out approximation commonly employed in the literature. Extensions to higher order matching is outlined, and implications for solving related systems are discussed. We compare our results to a numerical determination of the relic abundance using a benchmark model and find a fantastic agreement. The method developed also serves as a solution to a wide class of problems containing an infinite order turning point.
Perspectives using synthetic corundum in hydraulic drives
Authors: Puzanov A V , Simakov A L , Kosorukova O V , Kotov V V 
Published: July 2021

Abstract
The paper considers the perspectives for the use and scope of application of plunger pairs made of synthetic corundum in hydraulic control systems and power drives. The effect of the influence of the use of synthetic corundum in control systems and power drives of hydraulic systems of aircraft has been determined-increasing efficiency and dynamics by lowering the friction factor of 2-3, a decrease in the gaps to 0, increase the operating temperature range, and a weight loss of 10-15%. An approach to the analysis of design options for updated elements of hydraulic drives is formulated.
Integral knowledge as methodologic foundation for design of Artificial Intelligence systems
Authors: Netrebskaya O 
Published: July 2021

AbstractAn all-system, interdisciplinary approach in the field of artificial intelligence research, applicable for airspace industry is proposed. It is important to determine the philosophical direction in which the cognitive functions of “machine thinking” are implemented. The cognitive activity of intelligent machines depends on what is meant by the categories “intelligence”, “consciousness” or “social consciousness of machines”. In the Russian context, the system of concepts of Russian philosophy, such asintegral knowledge, is relevant as a worldview basis for the practical development of artificial intelligence systems and industrial development of anthropocentric artificial intelligence. Integral knowledge – is the leading category of Russian philosophy of the XIX century – organic synthesis of various types of knowledge. Within the framework of an interdisciplinary approach, based on system research, it is obvious that full-fledged empirical technical modeling of artificial intelligence systems is possible. Such modeling can be carried out with the imitation of “intelligence” and with the use of well-known categories: science, philosophy, etc. Scientific and methodological levels of interdisciplinary research of information interaction of robots in groups are analyzed. A scheme of systematic research of specific technical developments is proposed, which uses the features of forms of social consciousness and the integral knowledge of a person.
Interest in Physics courses for Biological and Health Science students in High School
Authors: Saavedra Brenda , Segarra Pilar 
Published: July 2021

Abstract
This work presents the electricity topic from a Physics course for Biological and Health Science students in High School. These students believe that Physics is not relevant to their future career or professional life. They consider themselves incapable of succeeding in the subject unless they learn by heart a lot of mathematical formulas and use them in the exam. In this way, we exposed the relation between Physics and Biological and Health Science, showing them the Electricity involved in biological phenomena. It has been observed how student’s attitudes change depending on the examples and contexts used in class.
Study on the Farmland Evaluation Index System through the Construction of Mathematical Models and Big Data
Authors: Qi Li , Shu Xiaoxiao 
Published: July 2021

Abstract
Basic farmland is the essence of cultivated land. To completely solve China’s food security problems and achieve stable growth of agricultural production in China, it is one of the most effective ways to build high-standard basic farmland. Therefore, this paper evaluates the high standard basic farmland. This paper evaluates the natural quality of basic farmland through the construction of mathematical models. The total cultivated land area in the hilly area of Faku County is 153061.02 hm2, while the natural quality score of cultivated land in the hilly area of Faku County is between 51 and 86. Among the equal-valued intervals, the maximum cultivated land area between ≥60-70 is 129110.25 hm2, accounting for 84.35% of the total cultivated land in the hilly area of the county, followed by the area between ≥70-80, which is 9069.44 hm2. The total area of cultivated land in the hilly area of the county is 5.92%, followed by the interval of ≥ 80 points, <60 interval, the area is 8095.61 hm2, and the ratio of 6787.72 hm2 accounts for 5.29% and 4.43% of the total cultivated land in the hilly area of the county. In general, the natural quality of cultivated land in the hilly area of Faku County is moderate.
Knowledge Modeling of Airborne Missile Management System Based on Multi-dimensional Fuzzy Ontology
Authors: Li Jianfeng , Xiao Mingqing , Sun Yao , Chen Yaojun 
Published: July 2021

Abstract
Health management system of airborne missiles has a large amount and variety of knowledge, but such technical documents are lack of effective management in the knowledge level. According to the technical characteristics of knowledge in the field of airborne missile health management, a HTA analysis model (Hierarchy, time, and activity analysis model) based on multi-dimensional fuzzy ontology in the health management field of airborne missiles is constructed, and ontology description language OWL is introduced to express knowledge. It provides a theoretical and methodological basis for the dynamic management of health knowledge in the field of condition monitoring, prediction and evaluation, fault diagnosis, technical service.
A Review of Hybrid FE-SEA Joint Modeling Methods
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: July 2021

Abstract
At present, the modeling of mixed-point connection is mainly based on the assumption of infinite structure without considering the influence of boundary factors on the modeling and analysis results. This paper reviews the modeling methods of mixed-point connection model. At the same time, the conventional modeling methods of hybrid line connection is studied for the hybrid line connection model, and some new research topics are proposed for some problems of hybrid point and hybrid line connection modelling.
A Reverse Modelling Method for Aviation Maintenance Training Simulation Device Design
Authors: Fudong Chu , Wei Zhang 
Published: July 2021

Abstract
To improve the design efficiency and model accuracy of aircraft maintenance training simulation device, a reverse modeling method using 3D laser scanning equipment and 3D modeling software is proposed. The point cloud data is obtained by the 3D laser scanner, and then imported into the 3D modeling software Geomagic studio. After generating surface, error analysis and other steps, a more accurate three-dimensional model is obtained. After redesigning using the 3D modeling software CATIA, the entity is generated, and the shape accuracy of the product is analyzed through the 3D deviation calculation. The data is imported into the 3D printer to quickly generate the product, and finally a high-precision product is obtained.
Research on Structural Design of Aluminum components for Large Aircraft based on Additive Manufacturing Technology
Authors: Guofang Liu 
Published: July 2021

Abstract
Laser-additive manufacturing technology can realize near-net forming manufacturing of structural parts by laser selective melting, and can overcome the limitation of traditional technology and realize the forming of complex components. Aluminum alloy has low density and high strength, and is widely used in aircraft structures. The paper introduces the research progress of laser-additive manufacturing technology, puts forward the design process of aluminum alloy structure of aircraft based on additive manufacturing technology, and illustrates the design feature extraction, topology optimization, strength analysis, test verification, etc., which provides reference for lightweight design of large passenger aircraft.
Research on Effectiveness Evaluation Method of Weapon System Based on Cloud Model
Authors: Ziyuan Qi , Yangyang Zhang , Liqing Fang , Mengshan Jia , Yanan Li , Guoyu Lin 
Published: July 2021

AbstractThe evaluation of weapon system effectiveness can provide scientific basis for improving its own and operational effectiveness, and is of great significance to enrich the theory of weapon construction. Aiming at the complexity and uncertainty of weapon system, a comprehensive evaluation method based on cloud model and AHP is proposed to evaluate the effectiveness of weapon system. Firstly, the specific steps of cloud barycenter evaluation method based on cloud model are given; then, based on the requirement analysis of weapon system, the evaluation index system is established by using analytic hierarchy process; finally, the feasibility of the method is verified by a case. The proposed method provides a new idea for weapon system effectiveness evaluation.
Inverse Kinematic Analysis of Bionic Hands Based on Fish Swarm Algorithm
Authors: Lin Min , Hong Hualin , Yuan Xiaodong , Fan Jianyu , Ji Zhifei 
Published: July 2021

Abstract
To simplify the solving process of the inverse kinematics problem of a bionic hand, a method of solving the inverse kinematics problem based on an artificial fish swarm algorithm was proposed in this paper. First, the kinematic equations of the bionic hand were established using the Denavit-Hartenberg (D-H) parameters. By selecting the appropriate decision variables and objective functions, an optimization model was established for solving the inverse kinematics problem of the bionic hand. Then, the artificial fish swarm algorithm was used to search the solution space to find the inverse solution of the position of the bionic hand. The results show that the artificial fish swarm algorithm has good convergence performance in solving the kinematic problem of the bionic hand. Besides, the accuracy of the artificial fish swarm algorithm can be improved by adjusting parameters such as the initial number of fish swarms, visual field, crowding degree, and step size.
Simulation Research on the Viscosity Characteristics of Hydraulic Retarder
Authors: Chu Yaxu , Liu Lin , Sun Wengpeng 
Published: July 2021

Abstract
In order to reveal the influence of the viscosity of the transmission oil on the braking performance of the hydraulic retarder, the change law of the viscosity of the hydraulic retarder at different temperatures is analysed, and the influence of the viscosity of the working medium on its braking performance is analysed. The results show that: low-viscosity transmission oil can increase braking torque.
Structural and Thermal Design of Cryogenic Heater
Authors: Qiu Yinan , Yang Huan , Zhai Hua , Zhang Peng 
Published: July 2021

Abstract
Cryogenic testing heat load is the key equipment for testing the cooling capacity of large helium cryogenic refrigeration system, and the heater is the core component of it. Through the heat transfer analysis in the heating process, the specific mechanical structure and heat transfer law under cryogenic conditions are explored. The mechanical structure and thermal design of the heater are carried out, and the optimized mechanical structure is given to meet the experimental needs.
The Research on Driving Meta-model of Large Rotary-type Cylindrical Antenna
Authors: Zhiping Chen , Yongwei Wan , Xi Ling , Yu Chen , Chunguang LI 
Published: July 2021

Abstract
As a complex system with highly integrated multi-discipline, the large rotary-type cylindrical antenna is favored by more and more researchers in IPS detection and large-area survey observation. Due to its complex structure, huge volume and large motion inertia, high requirements on the drive system are indispensable, and there exist some certain limitations in the traditional system design method. This article proposes a large rotary-type cylindrical antenna driving system modeling method based on the meta-model. The domain-specific modeling language of the antenna driving system is defined by extending SysML, and the domain meta-model of the antenna driving system is constructed on this basis. The functional modeling of the antenna driving system is based on the meta-model to support the analysis of the antenna driving process, improve the modeling efficiency and model reusability, and provide a research foundation for the subsequent system modeling design of large antenna.
Transmission Parameter Matching and Simulation Verification of Pure Electric Vehicle
Authors: Yaxin Guo , Yi Fang 
Published: July 2021

Abstract
In order to promote the economy and power performance of pure electric vehicles and make the drive motor as efficient as possible in the working area, two-speed transmission system is proposed for the pure electric vehicle with fixed speed ratio. When the basic vehicle parameters are determined, the drive motor and the transmission are matched. This paper using MATLAB/Simulink simulation platform to build the model, and verify the result of pure parameter matching.