Multi-element Structure Research Articles

Characteristic mode based self isolated MIMO antenna design for millimeter wave 5G communications

The paper introduces a self-isolated quad-port multi input multi output antenna system designed for fifth-generation wireless communication. The reported antenna structure possesses an overall dimension of 12.4 × 12.4 × 0.508 mm3 and is derived from a single-element antenna, featuring a circular patch accompanied by a sectoral slot. To achieve the desired frequency band, an additional circular patch is purposefully placed over the main radiator. The development of each design stage in the antenna structure is investigated using the theory of characteristic mode. This configured multi-element antenna structure achieves a broad operational bandwidth spanning 4.5 GHz, encompassing frequencies from 26.1 GHz to 30.6 GHz, rendering the antenna well-suited for deployment in the millimeter-wave frequency bands of n257, n258, and n261 respectively. A total gain of 6.27 dBi is achieved with port isolation of −24 dB. Furthermore, the antenna undergoes validation for diversity metrics, including envelope correlation coefficient, diversity gain, channel capacity loss, total active reflection coefficient, and mean effective gain. The antenna is fabricated and experimentally validated with the simulated counterpart. Later, a comparative analysis has been conducted which revealed that the proposed antenna demonstrates > 80 % increase in compactness compared to existing antenna designs documented in the literature.

Targeted optimization in small-scale atomic structure calculations: application to Au I

The lack of reliable atomic data can be a severe limitation in astrophysical modelling, in particular of events such as kilonovae that require information on all neutron-capture elements across a wide range of ionization stages. Notably, the presence of non-orthonormalities between electron orbitals representing configurations that are close in energy can introduce significant inaccuracies in computed energies and transition probabilities. Here, we propose an explicit targeted optimization (TO) method that can effectively circumvent this concern while retaining an orthonormal orbital basis set. We illustrate this method within the framework of small-scale atomic structure models of Au I, using the Grasp2018 multiconfigurational Dirac–Hartree–Fock atomic structure code. By comparing to conventional optimization schemes we show how a TO approach improves the energy level positioning and ordering. TO also leads to better agreement with experimental data for the strongest E1 transitions. This illustrates how small-scale models can be significantly improved with minor computational costs if orbital non-orthonormalities are considered carefully. These results should prove useful to multi-element atomic structure calculations in, for example, astrophysical opacity applications involving neutron-capture elements.

Sleep shapes the associative structure underlying pattern completion in multielement event memory

Sleep supports the consolidation of episodic memory. It is, however, a matter of ongoing debate how this effect is established, because, so far, it has been demonstrated almost exclusively for simple associations, which lack the complex associative structure of real-life events, typically comprising multiple elements with different association strengths. Because of this associative structure interlinking the individual elements, a partial cue (e.g., a single element) can recover an entire multielement event. This process, referred to as pattern completion, is a fundamental property of episodic memory. Yet, it is currently unknown how sleep affects the associative structure within multielement events and subsequent processes of pattern completion. Here, we investigated the effects of post-encoding sleep, compared with a period of nocturnal wakefulness (followed by a recovery night), on multielement associative structures in healthy humans using a verbal associative learning task including strongly, weakly, and not directly encoded associations. We demonstrate that sleep selectively benefits memory for weakly associated elements as well as for associations that were not directly encoded but not for strongly associated elements within a multielement event structure. Crucially, these effects were accompanied by a beneficial effect of sleep on the ability to recall multiple elements of an event based on a single common cue. In addition, retrieval performance was predicted by sleep spindle activity during post-encoding sleep. Together, these results indicate that sleep plays a fundamental role in shaping associative structures, thereby supporting pattern completion in complex multielement events.

Comparative analysis of production systems in the automotive industry

Purpose of the following text is to compare three production systems,: Toyota Production System, World Class Manufacturing and Nissan Production Way. For it purpose, a comparative study was carried out based on three categories: system, design, popularity and versatility. For each of the comparison categories, a method was adjusted. System design: comparison of assumptions and system construction schemes according to the authors of a given solution. Popularity: analysis of search engine results from Google, Google Scholar, Bing and Yahoo! obtained from searches for the phrases "Toyota Production System," "World Class Manufacturing" and "Nissan Production Way". Versality: case studies of system implementations by other organisations than authoring automotive corporations. As a result of the comparison, it can be seen that the most complex and elaborate system is WCM, which has a multi-element structure as well as predetermined levels of sophistication. Relatively the simplest of the compared solutions turned out to be NPW. In the case of popularity, the leader is TPS in Google’s search engines, WCM in Bing and Yahoo!, while the least popular solution in the Internet’s space is the system by Nissan Motor Corporation. The versatility category indicates that the TPS and WCM systems have similar implementation capabilities, while NPW turns out to be a specific and exclusive solution for the Renault-Nissan-Mitsubishi Alliance and has no external implementations. The results provide an overall picture of the situation regarding production systems in the automotive industry and can provide a starting point for more advanced analysis of existing solutions and allow the design of other systems.

198 A UNIQUE COMMUNITY POST-DIAGNOSTIC DEMENTIA SUPPORT SERVICE DELIVERED BY THE ADVANCED NURSE PRACTITIONER

Abstract Background In Ireland, approximately 67,744 people live with dementia and 63% reside in Irish communities with increasing care cost estimated at €58,550 per person, which is set to rise alongside increasing longevity (HSE, 2020; Department of Health, DOH 2014). Across the Republic of Ireland, care provision predominantly focuses on middle or later stages of the journey, leaving the newly diagnosed and their care partner as somewhat the invisible. Service provision for post diagnostic dementia services is disjointed, with resource allocation at a low level of provision relative to need, leading to inequity with subsequent disparity resulting in significant geographical variation in the provision of services. Methods Robust interdisciplinary community care pathways developed underpin this ANP Service. The multi-element pathway structure delivers community clinics for Dementia, NCSD and LivDem programmes alongside support networks for family care partners, amongst others. Support and care provision is demonstrated from point of diagnosis and throughout the dementia journey for the patient and family care partners, which is unique in Irish healthcare. ANP service provision through interdisciplinary collaboration has achieved increased QOL outcomes alongside illuminating KPI's and audit outcomes. Capturing dementia services early optimises outcomes for all involved including health service cost reductions, all in one setting. Results Patient satisfaction outcomes range from 71 - 100% with service intervention outcomes favourably indicating the direct impact of the service, which are unmeasurable to the older adult living with dementia, and include increases in: (i) Confidence - 90%; (ii) Mood - 50% and (iii) open to talking through difficulties encountered - 87%. This service contributes to innovations in practice in this complex care area and now achieves 60 attendances each month Conclusion Advanced practice drives collaboration and integration across services delivering on hospital avoidance, early supportive discharge and timely access to services. Facilitating early post diagnostic dementia services optimises interdisciplinary collaboration, crucial to achieve aging in place with timely access to services for all older adults.

Calculation model of thermoelectric system for cooling discrete semiconductor devices

Objective. The aim of the study is to develop a computational model of a thermoelectric system (TPS) for cooling discrete semiconductor devices (DSD), implemented in the Elcut application software package, and to conduct a corresponding numerical experiment on it.Method. A new type of DPP cooling system has been developed, which uses several TEM sections that provide heat removal from both the lower and upper surfaces of the fuel elements, which increases the heat exchange surface between the cold source and the REE element and increases the heat removal efficiency. Using the finite element method, a computational model of this system is constructed based on the solution of the problem of thermal conductivity for a multi-element structure of a complex configuration, each component of which is characterized by thermal and electrical parameters.Result. A numerical experiment was carried out using the calculation model. As a result of it, the results of a numerical experiment were obtained in the form of a three-dimensional picture of the temperature field of the DPP - TPP system when it reaches the stationary mode, as well as graphs of temperature changes over time in the center of discrete semiconductor devices at various values of the cooling capacity of the thermoelectric module (TEM).Conclusion. As a result of the numerical experiment, it was found that the proposed design of the cooling TPP fully allows solving the problem of ensuring the required temperature regime of the DPP in the range of its power up to 75 W. At the same time, the use of sections of thermoelectric modules from thermoelements identical in their geometric, electrical and thermal characteristics makes it possible to increase the manufacturability of the device, as well as to ensure its operation in optimal current modes.

Ternary assembled MOF-derived composite: Anisotropic epitaxial growth and microwave absorption

In recent years, metal-organic framework (MOF)-derived absorbers have attracted much attention in the field of microwave absorption. It is interesting and difficult to construct multiple MOF-on-MOF heterostructures . Herein, we combine two unique anisotropic epitaxial growth strategies to build binary assemblies DUT-52@MIL-88B (DM) and DUT-52@MIL-88C (DMC), and then the ternary assembly DUT-52@MIL-88B@MIL-88C (DMM). The formation mechanisms of the assembled structure are clarified. Besides, they are converted into magnetic porous carbon-based absorbers (DM-700 and DMM-700) through a facile carbonization process . The microwave absorption mechanisms are elucidated. The results indicate that the exquisite multi-element composite structure endows the absorber with suitable impedance matching characteristics, complementary loss mechanisms and excellent electromagnetic loss capabilities. It is worth noting that DM-700 exhibits a remarkable minimum reflection loss (RL min ) of −67.5 dB under a matching thickness of 3.6 mm, corresponding to an effective absorption bandwidth (EAB, RL < −10 dB) of 2.0 GHz and the filler loading of 55%. The optimized absorber DMM-700 successfully achieves the optimization of the above-mentioned microwave absorbing properties. While maintaining the desirable RL min (−56.4 dB), the matching thickness is reduced (2.4 mm), and at the same time, EAB is doubled (4.0 GHz). This study might provide a new idea for the construction of sophisticated absorbers with multi-MOF-on-MOF structures. • The DUT-52@MIL-88B@MIL-88C composite is first synthesized. • The tip-to-end anisotropic MOF-on-MOF growth possess is proposed. • The microwave absorption mechanisms are elucidated. • The RL min exceeds −56.4 dB for the thickness of 2.4 mm.

Performance Analysis of Multi-Group Three-Tuple Cross-Eye Jamming

Monopulse radar is widely used in military. Jamming monopulse radar has always been a research hotspot in electronic warfare (EW). Cross-eye jamming has always been considered as the most effective measures to jam with monopulse radar. In this paper, we propose a multi-group three-tuple cross-eye jamming structure where each group contains three antenna elements with a definite phase and an amplitude relationship. Then, based on the principle of monopulse angle measurement, the error angle is deduced theoretically. Simulations show that such a multi-group three-tuple cross-eye jamming structure performs better than the multi-element cross-eye jamming structure previously proposed, and the analysis of the centroid shows that the centroid of the structure proposed in this paper is more widely distributed in space.

Ultra-broadband 4.1 μm mid-infrared emission of Ho3+ realized by the introduction of Tm3+ and Ce3+

Ho3+/Tm3+/Ce3+ tri-doped tellurite glasses with lower phonon energy (761 cm−1) were prepared by melt quenching in this paper. Performing XRD, Raman, DSC performance characterization, it was concluded that the synthetic tellurite glass sample had a multi-element structure, and the ΔT of the prepared tellurite glass was 138 °C, which can be used for fiber drawing with good thermal stability. Under the 808 nm LD excitation, an ultra-broadband emission from 3800 to 4200 nm mid-infrared band with full-width at half-maximum (FWHM) of the prepared glass about 309 nm was achieved, which can be applied to mid-infrared ultra-wide tunable all-fiber laser. With the introduction of CeO2, the up-conversion emission were suppressed and strong mid-infrared emission were obtained, at the same time, the fluorescence lifetime of the sample was significantly prolonged, which are mainly due to the cross relaxation between Ho3+ and Ce3+, the energy transfer mechanism was further analyzed through the energy level transition process. The maximum emission cross section and gain coefficient of the tellurite glass were 1.01 × 10−20 cm2 and 1.13 cm−1, which were improved compared with the previously reported tellurite glasses. The results demonstrate that the Ho3+/Tm3+/Ce3+ tri-doped tellurite glass is a promising mid-infrared optical material.

Internal cost control of health resort institutions: Methodological aspects

Subject. This article analyzes the activities of therapeutic resort and spa facilities from the point of view of the social importance of the population's health. It discusses the problems of improving the system of cost control and calculating the cost of a unit of services provided by these facilities to obtain reliable information and optimize the costs. Objectives. Based on the analysis of statistical information and scientific sources, the article aims to form an opinion on the state of the health resort complex, the structure of costs, and their share by items and elements in the total amount of production costs, and develop a methodology for their continuous control, taking into account the industry specifics to minimize risks. Methods. For the study, we used analysis and synthesis, induction and deduction, literature review, and the calculation, graphical, accounting and analytical methods. Results. The article finds that the service provided by the health resort industry organizations is complex (accommodation, food, treatment) and therefore, it has a multi-element cost structure, which entails certain financial, tax, management risks that need continuous monitoring. Conclusions and Relevance. The proposed methodology helps to continuously control the costs of a multi-component service provided by economic entities of the health resort sector, optimizing them taking into account the industry specifics. This makes it possible to make this service more accessible to all segments of the population. The results of the study can be used in the theory and practice of internal cost control and the formation of the cost of a unit of services provided by the health resort institutions, as well as for further scientific developments and practical application.

Synthesis and sonophotocatalytic activities of ZnO\\BiVO4\\Co3O4 composites

The composite photocatalysts ZnO/BiVO4 (35 wt%) and ZnO/BiVO4 (35 wt%)/Co3O4 (10 wt%) (ZBC) were hydrothermal synthesized and characterized by X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy and UV–Vis diffusion reflectance spectra techniques. The sonophotocatalytic activities of these composites were investigated by degrading brilliant green dye. Approximately 99.1% brilliant green dye was degraded within 60 min of visible light illumination using ZBC as the photocatalyst, which is much higher than the efficiency reported early. The multi-element heterojunction structure and the ultrasound effectively improve the photodegradation performance.

Multi-Layer and Conformally Integrated Structurally Embedded Vascular Antenna (SEVA) Arrays.

This work presents the design and fabrication of two multi-element structurally embedded vascular antennas (SEVAs). These are achieved through advances in additively manufactured sacrificial materials and demonstrate the ability to embed vascular microchannels in both planar and complex-curved epoxy-filled quartz fiber structural composite panels. Frequency-reconfigurable antennas are formed by these structures through the pressure-driven transport of liquid metal through the embedded microchannels. The planar multi-layer topology examines the ability to fabricate two co-located radiating structures separated by a single ply of quartz fabric within the composite layup. The multi-element linear array topology composed of microchannels embedded on to a single-layer are used to demonstrate the ability to conformally-integrate these channels into a complex curved surface that mimics an array of antennas on the leading edge of an Unmanned Aerial Vehicle (UAV). A parallel-strip antipodal dipole feed structure provides excitation and serves as the interface for fluid displacement within the microchannels to facilitate reconfiguration. The nominal design of the SEVAs achieve over a decade of frequency reconfiguration with respect to the fundamental dipole mode of the antenna. Experimental and predicted results demonstrate the operation for canonical states of the antennas. Additional results for the array topology demonstrate beam steering and contiguous operation of interconnected elements in the multi-element structure.

Accelerated crystal structure prediction of multi-elements random alloy using expandable features

Properties of solid-state materials depend on their crystal structures. In solid solution high entropy alloy (HEA), its mechanical properties such as strength and ductility depend on its phase. Therefore, the crystal structure prediction should be preceded to find new functional materials. Recently, the machine learning-based approach has been successfully applied to the prediction of structural phases. However, since about 80% of the data set is used as a training set in machine learning, it is well known that it requires vast cost for preparing a dataset of multi-element alloy as training. In this work, we develop an efficient approach to predicting the multi-element alloys' structural phases without preparing a large scale of the training dataset. We demonstrate that our method trained from binary alloy dataset can be applied to the multi-element alloys' crystal structure prediction by designing a transformation module from raw features to expandable form. Surprisingly, without involving the multi-element alloys in the training process, we obtain an accuracy, 80.56% for the phase of the multi-element alloy and 84.20% accuracy for the phase of HEA. It is comparable with the previous machine learning results. Besides, our approach saves at least three orders of magnitude computational cost for HEA by employing expandable features. We suggest that this accelerated approach can be applied to predicting various structural properties of multi-elements alloys that do not exist in the current structural database.

Preferential sputtering in quantitative sputter depth profiling of multi-element thin films

Preferential sputtering plays an important role in the quantification of measured depth profiles. The distortion of the measured depth profile as compared to the original one has to be evaluated upon preferential sputtering in depth profiling. In the framework of the mixing-roughness-information depth (MRI) model, the influences of preferential sputtering on the depth profile of multi-element thin films are quantitatively evaluated as demonstrated for a layered structure of three elements with different sputtering rates and subsequent interfaces as A/BC/A. Moreover, the mass conservation upon Auger electron spectroscopy/X-ray photoelectron spectroscopy depth profiling of multi-element structure is discussed with respect to the preferential effect. Finally, as an example, the measured glow discharge optical emission spectroscope depth profiling data of 60x(3.0 nm Mo/0.3 nm B4C/3.7 nm Si)/Si(111) multilayer structure are quantitatively evaluated using the extended MRI model.

Two-Step Calibration Method for Inverse Finite Element with Small Sample Features

When the inverse finite element method (inverse FEM) is used to reconstruct the deformation field of a multi-element structure with strain measurements, strain measurement errors can lower the reconstruction accuracy of the deformation field. Furthermore, the calibration ability of a self-structuring fuzzy network (SSFN) is weak when few strain samples are used to train the SSFN. To solve this problem, a novel two-step calibration method for improving the reconstruction accuracy of the inverse FEM method is proposed in this paper. Initially, the errors derived from measured displacements and reconstructed displacements are distributed to the degrees of freedom (DOFs) of nodes. Then, the DOFs of nodes are used as knots, in order to produce non-uniform rational B-spline (NURBS) curves, such that the sample size employed to train the SSFN can be enriched. Next, the SSFN model is used to determine the relationship between the measured strain and the DOFs of the end nodes. A loading deformation experiment using a three-element structure demonstrates that the proposed algorithm can significantly improve the accuracy of reconstruction displacement.

Distributed Actuation and Control of a Morphing Tensegrity Structure

Abstract Structures and actuation systems need to be closely integrated together in the future to create faster, more efficient, lightweight dynamic machines. Such actuated structures would be used for morphing aircraft wings, lightweight actuated space structures, or in robotics. This approach requires actuators to be distributed through the structure. A tensegrity structure is a very promising candidate for this future integration due to its potentially excellent stiffness and strength-to-weight ratio, and the inherent advantage of being a multi-element structure into which actuators can be embedded. This paper presents methods for analysis of the structure geometry, for closed-loop motion control, and includes experimental results for a structure actuated by lightweight pneumatic muscles. In a practical morphing tensegrity structure, it cannot be assumed that tension and compression members always meet at a point. Thus, a form-finding method has been developed to find stable geometries and determine stiffness properties for tensegrity structures with nodes of finite dimension. An antagonistic multi-axis control scheme has been developed for the shape position and motion control. In the experimental actuated tensegrity system presented the pneumatic muscles are controlled by on-off valves, for which a dead-band switching controller is designed based on a new stability criterion. The experimental system demonstrates accurate control of shape change while maintaining a desired level of internal preload in a stiff structure, showing considerable promise for future lightweight dynamic machines.

A Low-Power Wireless Multichannel Gas Sensing System Based on a Capacitive Micromachined Ultrasonic Transducer (CMUT) Array

Detection of volatile organic compounds (VOCs), challenged by their diversity and similarity, is gaining much attention due to concerns about adverse health effects they cause, along with intensifying development efforts in wireless sensor nodes. Precise identification of volatiles may be subject to the sensitivity and selectivity of a sensor itself and the proximity of the sensor to the source, necessitating power-efficient and portable/wearable sensing systems. The metal-oxide sensors, commonly employed for detection of VOCs, are not power efficient, due to the required heating element, and lack the selectivity, thus reporting only the total VOC level. In this paper, we present a complete low-power wireless gas-sensing system based a capacitive micromachined ultrasonic transducer array, which is known to have several advantages such as high mass sensitivity, easy implementation of a multielement structure, and high selectivity upon polymer coating. We took a holistic approach to designing the sensing elements and the custom integrated circuit (IC) as well as to operating the system, resulting in a small self-contained sensor node (38-mm detect-weight diameter and 16-mm detect-weight height). The chemical-sensing capability of the system has been validated with ethanol, achieving 120-ppb limit-of-detection while the sensor array, including the IC and the power management unit, consuming 80- $\mu \text{W}$ average power with power cycling by actively taking measurements for 3 s detect-weight per minute. The presented system will eventually provide a ubiquitous tool to identify VOCs with the help of multivariate data analysis.

Магнитометр на основе структуры высокотемпературный сверхпроводник-эпитаксиальная феррит-гранатовая пленка

A physical justification is given and a schematic diagram is proposed for constructing a magnetometer by the method of periodic spatial modulation of the magnetic flux density by a multi-element HTSC structure and its subsequent measurement by a planar magneto-optical device with a sensitivity no worse than 10-12 T.

Stability and Bifurcation Analysis of Multi-Element Non-Foster Networks

A stability and bifurcation analysis of multi-element non-Foster networks is presented, illustrated through its application to non-Foster transmission lines. These are obtained by periodically loading a passive transmission line with negative capacitors, implemented with negative-impedance converters (NICs). The methodology takes advantage of the possibility to perform a stability analysis per subintervals of the perturbation frequency. This will allow an independent analytical study of the low-frequency instability, from which simple mathematical criteria will be derived to prevent bias-network instabilities at the design stage. Then, a general numerical method, based on a combination of the Nyquist criterion with a pole-zero identification of the individual NIC, will be presented, which will enable the detection of both low- and high-frequency instabilities. A bifurcation analysis of the multi-element non-Foster structure will also be carried out, deriving the bifurcation condition from a matrix-form formulation of the multi-element structure. The judicious choice of the observation ports will enable a direct calculation of all the coexisting bifurcation loci, with no need for continuation procedures. These bifurcation loci will provide useful insight into the global-stability properties of the whole NIC-loaded structure.

Economic Regionalism as a Planetary Phenomenon. Theory And Methodology of Comparison

Nowadays integration could be considered as worldwide-political phenomenon with its multielement structure. The growing integratedness allows the little and medium states to build a constructive conversation with important players, equalize the growth rates, life quality as well as to contribute to settlement of international conflicts. This article deals with the theory and methodology of Economic Integration in Europe. The author investigates the roots of integration processes in after-war period in Europe. With establishment of European Coal and Steel Community (ECSC) in 1951 the integration became a key element of international policy. The author revises the evolution of the Integration theory from implementing of “federalism” term till development of comparative integration area in international relations science. The author used original foreign and Russian sources for preparing the current article.