bluuebunny/crossref_metadata_2025_split huggingface dataset:
Older adults’ conversations and the emergence of “narrative crystals”
Authors: Gerstenberg Annette , Hamilton Heidi E. 
Published: March 2022

AbstractEnergized by seminal scholarship within narrative studies; communication studies of aging and dementia; and formulaic language, we examined a wide range of stories told multiple times within two different longitudinal collections of verbal interactions involving two women in their 80s (one US American; one French). Based on multifaceted analyses of these longitudinal series of stories, we identified a new type of narrative, the “narrative crystal”. We characterize the internal formal architecture of two illustrative crystals (one from each corpus) before illuminating how such crystals function for their speakers as reassuring interactional “stepping stones” within their larger discourse surroundings. Our findings sketch a possible developmental process regarding how meaningful personal experiences come to be transformed over the lifespan: from the inchoate qualities of first-time tellings shaped by the interaction, through incrementally increased stability over the course of many tellings, to reach the highly durable nature of narrative crystals.
Recent trends in structures and applications of valveless piezoelectric pump—a review
Authors: Hou Yi , He Lipeng , Hu Dianbin , Zhang Limin , Yu Baojun , Cheng Guangming 
Published: March 2022

Abstract
Piezoelectric actuator-driven valveless pump has been studied for a long time in theory and structure for the features of high precision, fast response, low power consumption, compact size, reliability for long-term use and high performance. The pump has a remarkable significance for drug delivery, biological application, chemical analysis, high precision gluing, solder paste, lubrication system and electronic chip cooling system, etc. However, a higher requirement on the control circuit and power supply for the pump is raised, also, the driving voltage of the pump should be further reduced. In this review, the piezoelectric pump with and without valve is analyzed in working principle. Then, the recent trends of valveless pump in different structures are discussed. The representative structural designs in different thinking are introduced in the working media, driven voltage, frequency, flow rate, pressure, and the efficiency of the pump, the performance of different pumps are also compared. Afterwards, the application of the pump for different purposes with featured structures are presented. Next are the limitations and the outlook of the pump, which provides some potential research points for subsequent studies, and ended with a summary. This review concludes the recent trends of valveless piezoelectric pump in structural and application, attempts to guide the researchers with different professional backgrounds that can solve current problems through cross-disciplinary approaches.
A vibration response identification neural network with resilience against missing data anomalies
Authors: Zhang Ruiheng , Zhou Quan , Tian Lulu , Zhang Jie , Bai Libing 
Published: March 2022

Abstract
Vibration measurement provides valuable information pertaining to the mechanical properties of a vibrating structure. However, anomalies caused by sensor faults, system malfunctions, and environmental effects impede the accurate measurement of vibration responses that are essential in determining these properties. Usually, responses with anomalies need to be discarded to attain meaningful interpretation of vibration. In this study, a neural network (NN) model able to classify vibration responses with missing data anomalies is proposed, using convolutional recurrent neural network (CRNN) as the fundamental component for spatio-temporal feature extraction. The proposed model was employed using contact measurement in carbon fiber reinforced plastic plate to identify partially missing responses of different load locations. The integrity destruction algorithm is introduced to simulate responses with missing data anomalies. The proposed model utilized a multi-input structure to reduce the computation cost of the training process. Two CRNNs were evaluated and the results showed that the hybrid architecture of convolutional neural network and long short-term memory (LSTM) is a better choice for the proposed model compared to that of convolutional long short-term memory (ConvLSTM). The proposed model was evaluated by samples with missing data anomalies. The experimental results show that the proposed model has good per-class precision and recall (above 80%) for the classification of measurements with missing data anomalies.
Cu
x
S nanosheets with controllable morphology and alignment for memristor devices
Authors: Chen Jian Biao , Zhang Kai , Jiang Zi Jin , Gao Li Ye , Xu Jiang Wen , Chen Jiang Tao , Zhao Yun , Li Yan , Wang Cheng Wei 
Published: March 2022

Abstract
In electrochemical metallization memristor, the performance of resistive switching (RS) is influenced by the forming and fusing of conductive filaments within the dielectric layer. However, the growth of filaments, mostly, is unpredictable and uncontrollable. For this reason, to optimize ions migration paths in the dielectric layer itself in the Al/Cu
x
S/Cu structure, uniform Cu
x
S nanosheets films have been synthesized using anodization for various time spans. And the Al/Cu
x
S/Cu devices show a low operating voltage of less than 0.3 V and stable RS performance. At the same time, a reversible negative differential resistance (NDR) behavior is also demonstrated. And then, the mechanism of repeatable coexistence of RS effect and NDR phenomenon is investigated exhaustively. Analyses suggest that the combined physical model of space-charge limited conduction mechanism and conductive filaments bias-induced migration of Cu ions within the Cu
x
S dielectric layer is responsible for the RS operation, meanwhile, a Schottky barrier caused by copper vacancy at the Cu
x
S/Cu interface is demonstrated to explain the NDR phenomenon. This work will develop a new way to optimize the performance of non-volatile memory with multiple physical attributes in the future.
Mechanical response of surface wettability of Janus porous membrane and its application in oil–water separation
Authors: Hu Luyang , Wang Jingming , Wang Zhidan , Li Fabing , She Jing , Zhou Yufeng , Zhang Yumin , Liu Yin 
Published: March 2022

Abstract
Smart surfaces with switchable wettability are widely studied for environmental application. Although a large number of stimulation routes provide broad prospects for the development of smart surfaces, achieving high sensitivity, fast response and recovery, simple operation, security and good stability is still challenging. Herein, a Janus membrane via electrospinning, chemical bath deposition and heat treatment is constructed. By using the hydrophilic ZIF-L nanosheet to functionalize the hydrophobic thermoplastic polyurethane (TPU) substrate, a smart surface utilizes the ZIF-L crack induced by strain in the hydrophilic layer to control surface wettability is obtained. In the range of 0%–100% strain, the wettability of the smart surface presents an obvious change with stretching, and water contact angle of the surface shows a monotonic increase with a maximum tuning range from 47° to 114°. Due to local fusion of the TPU microfibers and good binding between the ZIF-L layer and the TPU substrate after heat treatment, the prepared Janus membrane exhibits consistent and symmetrical hydrophilic–hydrophobic–hydrophilic transition curves in 50 stretching-releasing cycles. Thanks to the porous and asymmetric architecture, the membrane shows good oil–water separation performance, and the separation flux increases with the increase of strain, while the separation efficiency is always higher than 98%. Because of the excellent structural stability, the robust membrane with 100% strain maintains its oil–water separation property for 50 stretching-releasing cycles. This study provides a new perspective for the development of smart material with stimuli responsive surface for oily wastewater purification.
Non-singular Morse–Smale flows on n-manifolds with attractor–repeller dynamics
Authors: Pochinka O V , Shubin D D 
Published: March 2022

Abstract
In the present paper the exhaustive classification up to topological equivalence of non-singular Morse–Smale flows on n-manifolds M

n
with exactly two periodic orbits is presented. Denote by G
2(M

n
) the set of such flows. Let a flow f

t
: M

n
→ M

n
belongs to the set G
2(M

n
). Hyperbolicity of periodic orbits of f

t
implies that among them one is an attracting and the other is a repelling orbit. Due to the Poincaré–Hopf theorem, the Euler characteristic of the ambient manifold M

n
is zero. Only the torus and the Klein bottle can be ambient manifolds for f

t
in case of n = 2. The authors established that there are exactly two classes of topological equivalence of flows in G
2(M
2) if M
2 is the torus and three classes if M
2 is the Klein bottle. For all odd-dimensional manifolds the Euler characteristic is zero. However, it is known that an orientable three-manifold admits a flow from G
2(M
3) if and only if M
3 is a lens space L

p,q
. In this paper it is proved that every set G
2(L

p,q
) contains exactly two classes of topological equivalence of flows, except the case when L

p,q
is homeomorphic to the three-sphere

S

3

or the projective space

R

P

3

, where such a class is unique. Also, it is shown that the only non-orientable n-manifold (for n > 2), which admits flows from G
2(M

n
) is the twisted I-bundle over the (n − 1)-sphere

S

n
−
1

×

~

S

1

. Moreover, there are exactly two classes of topological equivalence of flows in

G

2

(

S

n
−
1

×

~

S

1

)

. Among orientable n-manifolds only the product of the (n − 1)-sphere and the circle

S

n
−
1

×

S

1

can be ambient manifolds for flows from G
2(M

n
) and

G

2

(

S

n
−
1

×

S

1

)

splits into two topological equivalence classes.
Global well-posedness for the cubic fractional NLS on the unit disk
Authors: Sy Mouhamadou , Yu Xueying 
Published: March 2022

Abstract
In this paper, we show that the cubic nonlinear Schrödinger equation (NLS) with the fractional Laplacian on the unit disk is globally well-posed for certain radial initial data below the energy space and establish a polynomial bound of the global solution. The result is proved by extending the I-method in the fractional NLS setting.
Dosimetry of a novel focused monoenergetic beam for radiotherapy
Authors: Moradi-Kurdestany Jamshid , Bartkoski Dirk A , Tailor Ramesh , Mirkovic Dragan , Harel Ze’ev , Bar-David Aharon , Kleckner Michael , Borukhin Shirly , Salehpour Mohammad 
Published: March 2022

Abstract

Objective. A novel treatment modality is currently being developed that produces converging monoenergetic x-rays. Conventional application of dosimetric calibration as presented in protocol TG61 is not applicable. Furthermore, the dosimetry of the focal point of the converging beam is on the order of a few millimeters, requiring a high-resolution dosimeter. Here we present a procedure to calibrate radiochromic film for narrow-beam monoenergetic 60 keV photons as well as absolute dosimetry of monoenergetic focused x-rays. A study of the focal spot dose rate after passing through a bone-equivalent material was also done to quantify the effects of heterogeneous materials. Approach. This was accomplished by configuring a polyenergetic beam of equivalent energy using a clinical orthovoltage machine. Calibrated films were then used to perform absolute dosimetry of the converging beam by measuring the beam profile at various depths in water. Main Results. A method for calibrating radiochromic film has been developed and detailed that allows absolute dosimetry of a monoenergetic photon beam. Absolute dosimetry of a focused, mono-energetic beam resulted in a focal spot dose rate of ∼30 cGy min−1 at a depth of 5 cm in water. Significance. This work serves to establish a dosimetry protocol for mono-energetic beam absolute dosimetry as well as the use of such a method for measurement of a novel teletherapy modality.
An experimental study on dynamic behaviour of a sandwich beam with 3D printed hexagonal honeycomb core filled with magnetorheological elastomer (MRE)
Authors: Sharif Umer , Chen Lin , Sun Beibei , Ibrahim Dauda Sh , Adewale Orelaja Oluseyi , Tariq Noman 
Published: March 2022

Abstract
Sandwich beams with an aluminium face sheet and a magnetorheological elastomer (MRE) of varying proportions of elastomer and magnetic particles (weight to weight)% filled in a honeycomb core of Nylon and Resin8000 are manufactured and experimentally analysed in this study. To evaluate the dynamic properties of sandwich beams, manufactured structures subjected to sine sweep and classic shock tests and assessed both with and without magnetic field of varying intensities applied on the free end of the beam. The experimental results demonstrated good performance in vibration level attenuation, particularly in the structure’s primary vibration mode under consideration. The magnetic field applied was capable of lowering the first natural frequency of the proposed sandwich beam structures. Experiment results showed that an increase in an induced magnetic field shifted the natural frequencies, vibration amplitude, and damping ratio of sandwich panels with MRE honeycomb core.
Freeze-in dark matter through forbidden channel in U(1)
B-L
Authors: Konar Partha , Roshan Rishav , Show Sudipta 
Published: March 2022

Abstract
We examine a scenario for freeze-in production of dark matter, which occurs due to the large thermal correction to the mass of a decaying mediator particle present in the thermal bath of the early Universe. We show that the decays, which are kinematically forbidden otherwise, can open up at very high temperatures and dominate the dark matter production. We explore such forbidden production of dark matter in the minimal U(1)
B-L
model, comparing dark matter phenomenology in the context of forbidden frozen-in with the standard picture.
Gravitational waves from dark matter isocurvature
Authors: Domènech Guillem , Passaglia Samuel , Renaux-Petel Sébastien 
Published: March 2022

Abstract
The primordial fluctuations on large scales are adiabatic, but on smaller scales this need not be the case. Here we derive the general analytical framework to compute the stochastic gravitational wave background induced by primordial cold dark matter isocurvature fluctuations on small scales. We find that large isocurvature fluctuations can yield an observable gravitational wave signal, with a spectrum distinct from the one induced by adiabatic perturbations, and we provide for the first time the exact analytic expression of the kernel necessary to compute this signal. We then forecast the constraining power of future gravitational wave detectors on dark matter isocurvature on small scales and find they will dramatically improve on existing constraints.
Running coupling constant at finite chemical potential and magnetic field from holography *
Authors: Chen Xun , Zhang Lin , Hou Defu 
Published: March 2022

Abstract
According to gauge/gravity duality, we use an Einstein-Maxwell-dilaton (EMD) model to study the running coupling constant at finite chemical potential and magnetic field. First, we calculate the effect of temperature on the running coupling constant and find the results are qualitatively consistent with lattice guage theory. Subsequently, we calculate the effect of chemical potential and magnetic field on running coupling. It is found that the chemical potential and magnetic field both suppress the running coupling constant. However, the effect of the magnetic field is slightly larger than that of chemical potential for a fixed temperature. Compared with the confinement phase, the magnetic field has a large influence on the running coupling in the deconfinement phase.
TRIEX-II: an experimental facility for the characterization of the tritium extraction unit of the WCLL blanket of ITER and DEMO fusion reactors
Authors: Utili Marco , Alberghi Ciro , Candido Luigi , Papa Francesca , Tarantino Mariano , Venturini Alessandro 
Published: March 2022

Abstract
The experimental qualification of the tritium extraction unit (TEU) from the LiPb eutectic alloy (15.7 at. % Li), the breeder material of the water-cooled lithium–lead breeding blanket concept, is one of the fundamental items for the demonstration of tritium balance sustainability for ITER and DEMO fusion reactors. Several technologies have been proposed as TEU, but the selection of the reference technology can be carried out only after the experimental measurement of the tritium extraction efficiency. For this purpose, a dedicated facility, called TRIEX-II, was designed and installed at ENEA Brasimone Research Centre, Italy. The facility is able to qualify gas–liquid contactor (GLC), permeator against vacuum and liquid-vacuum contactor technologies at different temperatures, lithium–lead mass flow rates and hydrogen isotopes concentrations. In TRIEX-II, the hydrogen or deuterium, used to simulate tritium, are solubilised inside the LiPb with a dedicated saturator and are then extracted from the liquid metal in the GLC mock-up, which uses pure helium or a mixture constituted by helium and hydrogen as stripping gas and works in the temperature range between 300 and 500 °C.
How smart should a forager be?
Authors: Bhat U , Redner S 
Published: March 2022

Abstract
We introduce an idealized model of an intelligent forager in which higher intelligence corresponds to a larger spatial range over which the forager can detect food. Such a forager diffuses randomly whenever the nearest food is more distant than the forager’s detection range, R, and moves ballistically towards the nearest food that is inside its detection range. Concomitantly, the forager’s metabolic energy cost per step is an increasing function of its intelligence. A dumb forager wanders randomly and may miss nearby food, thus making it susceptible to starvation. Conversely, a too-smart forager incurs a large metabolic cost per step during its search for food and is again susceptible to starvation. We show that the forager’s lifetime is maximized at an optimal, intermediate level of intelligence.
Use of recyclable materials in the circular economy
Authors: Fodor V A , Heput T , Fodor E 
Published: March 2022

Abstract
The waste of a certain industry can be the raw material for another industry. As any material can become an explosive if we match them with the suitable complementary elements and the perfect detonator for these, also any waste can be useful for the circular economy. In this paperwork there will be introduced some methods through any kind of material can be reused. The impact of recycling on the environment would be positive, because nothing would be lost, everything would be transformed. The results obtained from laboratory tests on the processing of powdery ferrous waste for the purpose of obtaining lighters usable as raw material in the steel industry shall be presented. The processing and recovery of such waste leads to the recovery of iron.
Study and thermal analysis of vanes shape design for brake disc in automotive industry
Authors: Preda C , Bleotu R M , Pinca-Bretotean C 
Published: March 2022

Abstract
Braking system is one of the most important component for any vehicle, it convert the kinetic and potential energy of the vehicle into heat, which allow the vehicle to stop. During braking operation, disc and its components it has to experience fast change in temperatures, the heat absorbed and dissipated must be effective, to maintain a high performance of the braking system. That’s why brake disc cooling is an important area of research for top manufacturers which needs high performances for the cars, and vented discs are the most important piece, being used as these are considered to have high heat-dissipating characteristics. The aim of this paper was to create a design for the most efficient ventilation of the brake disc, by creating ventilation holes inside it. Because in the automotive industry, a thermal shield is often used for the braking system, this paper also consider the case with it assembled and without it, and it has a significant influence on the temperature of the braking system when assembled. For each design variant created, a semi-metallic material was used, for the beginning, following that for the most efficient variant, from a thermal point of view, the ceramic material was chosen. Considering the initial case, each brake disc is made of semi-metallic material, then for the best variant was adopted a ceramic material. The improved material properties combined with the optimal vent design lead to a significant temperature values decrease which was the main objective of the paper
Quality of continuous cast steel products used in automotive industry
Authors: Poenaru I O , Socalici A , Budiul Berghian A , Birtok Băneasă C 
Published: March 2022

Abstract
The process of removing non-metallic inclusions from the liquid steel is proceeding mainly during their forming and growth the main objective is increasing the speed of removing this inclusions. Qualitative and quantitative analyses of non-metallic inclusions from cast steel lead to determine their origin and nature. This paper presents the research and results regarding the influence of non-metallic inclusions reflected on quality of continuous cast steel products used in manufacturing of hydraulic cylinders from automotive industry.
High-accuracy 4D particle trackers with resistive silicon detectors (AC-LGADs)
Authors: Arcidiacono R. , Cartiglia N. , Ferrero M. , Mandurrino M. , Menzio L. , Siviero F. , Sola V. , Tornago M. 
Published: March 2022

Abstract
Future particle trackers will have to measure concurrently position and time with unprecedented accuracy, aiming at ∼5 μm and a few 10s ps resolution respectively. A promising good candidate for such a task are the resistive AC-LGADs, solid state silicon sensors of novel design, characterized by an internal moderate gain and an AC-coupled resistive read-out to achieve signal sharing among pads. The sensor design leads to a drastic reduction in the number of read-out channels, has an intrinsic 100% fill factor, and adapts easily to any read-out geometry. This report describes the design challenges, the signal formation and recent test results obtained with the first prototypes. A part is also dedicated to the reconstruction techniques that exploit the distributed nature of the signal, including machine learning. An outlook to a future development for optimized read-out electrodes and electronics is also presented.