Dynamic Configuration Research Articles

Tracking the extensive three-dimensional motion of single ions by an engineered point-spread function

Three-dimensional (3D) imaging of individual atoms is a critical tool for discovering new physical phenomena and developing new technologies in microscopic systems. However, the current single-atom-resolved 3D imaging methods are limited to static circumstances or a shallow detection range. Here, we demonstrate a generic dynamic 3D imaging method to track the extensive motion of single ions by exploiting the engineered point-spread function (PSF). We show that the image of a single ion can be engineered into a helical PSF, thus enabling single-snapshot acquisition of the position information of the ion in the trap. A preliminary application of this technique is demonstrated by recording the 3D motion trajectory of a single trapped ion and reconstructing the 3D dynamical configuration transition between the zig and zag structures of a 5-ion crystal. This work opens the path for studies on single-atom-resolved dynamics in both trapped-ion and neutral-atom systems.

Swifts Form V-Shaped Wings While Dipping in Water to Fine-Tune Balance.

Swifts, a distinctive avian cohort, have garnered widespread attention owing to their exceptional flight agility. While their aerial prowess is well documented, the challenge swifts encounter while imbibing water introduces an intriguing complexity. The act of water uptake potentially disrupts their flight equilibrium, yet the mechanisms enabling these birds to maintain stability during this process remain enigmatic. In this study, we employed high-speed videography to observe swifts' water-drinking behavior. Notably, we observed that the swift adopts a dynamic V-shaped wing configuration during water immersion with the ability to modulate the V-shaped angle, thereby potentially fine-tuning their balance. To delve deeper, we utilized a three-dimensional laser scanner to meticulously construct a virtual 3D model of swifts, followed by computational fluid dynamics simulations to quantitatively assess the mechanical conditions during foraging. Our model indicates that the adoption of V-shaped wings, with a variable wing angle ranging from 30 to 60 degrees, serves to minimize residual torque, effectively mitigating potential flight instability. These findings not only enhance our comprehension of swifts' flight adaptability but also hold promise for inspiring innovative, highly maneuverable next-generation unmanned aerial vehicles. This research thus transcends avian biology, offering valuable insights for engineering and aeronautics.

Near-Full-Spectrum Emission Realized in a Single Lead Halide Perovskite across the Visible-Light Region.

The engineering of tunable photoluminescence (PL) in single materials with a full-spectrum emission represents a highly coveted objective but poses a formidable challenge. In this context, the realization of near-full-spectrum PL emission, spanning the visible light range from 424 to 620 nm, in a single-component two-dimensional (2D) hybrid lead halide perovskite, (ETA)2PbBr4 (ETA+=(HO)(CH2)2NH3 +), is reported, achieved through high-pressure treatment. A pressure-induced phase transition occurs upon compression, transforming the crystal structure from an orthorhombic phase under ambient conditions to a monoclinic structure at high pressure. This phase transition driven by the adaptive and dynamic configuration changes of organic amine cations enables an effective and continuous narrowing of the band gap in this halide crystal. The hydrogen bonding interactions between inorganic layers and organic amine cations (N-H⋅⋅⋅Br and O-H⋅⋅⋅Br hydrogen bonds) efficiently modulate the organic amine cations penetration and the octahedral distortion. Consequently, this phenomenon induces a phase transition and results in red-shifted PL emissions, leading to the near-full-spectrum emission. This work opens a possibility for achieving wide PL emissions with coverage across the visible light spectrum by employing high pressure in single halide perovskites.

The Comprehensive Review: Internet Protocol (IP) Address a Primer for Digital Connectivity

The Internet Protocol (IP) is the rule book that governs how data is addressed and routed across networks on the internet. Think of it as the postal system for the digital world. This addressing system allows routers, the digital mail carriers, to efficiently transfer packets between devices and networks until they reach their destination. It ensures data reaches the right place by assigning addresses and enabling efficient routing. IP also encompasses various protocols and services, such as ICMP (Internet Control Message Protocol) for error reporting and diagnostics, and DHCP (Dynamic Host Configuration Protocol) for automatic IP address assignment. Additionally, IP can be configured to support different transmission modes, including uni-cast, multicast, and broadcast, catering to diverse communication requirements. Adopting technology that has been researched and developed commercially offers the military a cost-effective method of implementation. IP systems enable the forces to share a common network that supports voice, video, and data sharing. This systematic review article initially highlighted the basics on IP and lastly the brief discussion regards data gram format, NAT, IPv4, IPV6 IP fragmentation, CIDR, TCP and UDP individually.

Pneumonectomy following penetrating trauma with ECMO as postoperative support: case report – (Lung trauma and ECMO)

BackgroundPenetrating thoracic injuries have a significant risk of morbi-mortality. Despite the advancements in damage control methods, a subset of patients with severe pulmonary vascular lesions and bronchial injuries persists. In some of these cases, post-traumatic pneumonectomy is required, and perioperative extracorporeal membrane oxygenation (ECMO) support may be required due to right ventricular failure and respiratory failure.Case descriptionA male was brought to the emergency department (ED) with a penetrating thoracic injury, presenting with massive right hemothorax and active bleeding that required ligation of the right pulmonary hilum to control the bleeding. Subsequently, he developed right ventricular dysfunction and ARDS, necessitating a dynamic hybrid ECMO configuration to support his condition and facilitate recovery.ConclusionsPenetrating thoracic injuries with severe pulmonary vascular lesions may need pneumonectomy to control bleeding. ECMO support reduces the associated mortality by decreasing the complications rate. A multidisciplinary team is essential to achieve good outcomes in severe compromised patients.

Design and optimization of dynamic cable configuration device for intelligent cable retractable vehicle

Design and optimization of dynamic cable configuration device for intelligent cable retractable vehicle

Dynamics of fractional solitonic profiles to multicomponent Gross–Pitaevskii system

The fractional multicomponent Gross-Pitaevskii system arising in the Bose-Einestein condensate is under consideration. The Gross-Pitaevskii equation plays a significant role in Bose-Einstein condensation and engineering, where it characterizes the dynamics of the condensate wave function. Superfluidity and superconductivity are two characteristics of the low-temperature phenomenon that are linked to the Bose–Einstein condensate, which is generated by a diluted atomic gas. The investigation of multi-component equations has garnered considerable attention because of their capacity to clarify intricate physical phenomena and reveal the dynamic configurations of localized wave solutions. A variety of solutions have been secured in various forms, including bright, dark, singular, and combo solitons, in addition to solutions of hyperbolic, periodic, and exponential functions. For the purpose of ensuring the solutions, recently developed integration tools called the modified Sardar subequation method and enhanced modified extended tanh-expansion method have been implemented. In nonlinear dispersive media, solitons are stretched electromagnetic waves that maintain their intensity due to a balance between the effects of dispersion and nonlinearity. The proposed approaches are certainly the most direct, efficient, and valuable method for dealing with multiple nonlinear models that arise in applied physics and mathematics, with the purpose of generating various types of exact solutions. In addition, 3D, 2D, contour, and density plots have been utilized to visually represent the obtained results, facilitating a greater understanding of the physical effects of the derived solutions. The solutions attained are of great importance with regard to their applicability across a wide range of quantum systems.

Optimization of block-scaled integer GeMMs for efficient DNN deployment on scalable in-order vector processors

A continuing rise in DNN usage in distributed and embedded use cases has demanded more efficient hardware execution in the field. Low-precision GeMMs with optimized data formats have played a key role in more memory and computationally-efficient networks. Recently trending formats are block-scaled representations stemming from tight HW-SW co-optimization, that compress network size by sharing exponents per data block. Prior work mostly focuses on deploying such block-scaled GeMM operations on domain-specific accelerators for optimum efficiency at the cost of flexibility and ease of deployment. In this work, we exploit and optimize the deployment of block-scaled GeMMs on fully-programmable in-order vector processors using ARM SVE. We define a systematic methodology for performing design space exploration to optimally match the workload specifications with processor vector-lengths, different microkernels, block sizes and shapes. We introduce efficient intrinsics-based microkernels with effective loop unrollings, and data-transfer efficient fused requantization strategies to maximize kernel performance, while also ensuring several deployment configurations. We enable generalized block-scaled kernel deployments through tunable block sizes and shapes, which helps in accommodating different accuracy-speed trade-off requirements. Utilizing 2D activation blocks instead of conventional 1D blocks, the static and dynamic BS-INT8 configurations yielded on average 3.8x and 2.9x faster speedups over FP32 models respectively, at no accuracy loss for CNN classification tasks on CIFAR10/100 datasets.

Influence of fatigue damage on the impact performance of toughened-interleave carbon fibre epoxy composite laminates

The impact performance of mechanically fatigued carbon fibre-reinforced polymer (CFRP) composite laminates with and without thermoplastic toughening particles has been investigated through a joint experimental and numerical campaign. Prismatic carbon fibre/epoxy specimens with added toughening particles at the ply interfaces were mechanically fatigued with different load amplitudes leading to a loss in apparent stiffness of 10% to 15%. Following the fatigue loading, high resolution computed tomography (CT) has been performed, revealing varying degrees of delamination starting from the free edges along the length of the specimens. In addition, transverse matrix cracks are observed in all fatigued specimens regardless of the amount of delamination. The residual ballistic impact performance of the damaged specimens has been investigated in a dynamic three-point bending configuration at three different velocities, showing a significant detrimental effect of even barely visible initial delamination. In addition, post-mortem CT scans and detailed finite element simulations are used to gain further insight into the mechanisms by which the two types of initial damage affected the impact resistance of the laminates. Finally, repeating the same experiments on a similar CFRP system without discrete toughening particles showed that their inclusion significantly increased the impact resistance both with and without prior fatigue damage.

Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard.

Technological advances in high-throughput technologies improve our ability to explore the molecular mechanisms of life. Computational infrastructures for scientific applications fulfil a critical role in harnessing this potential. However, there is an ongoing need to improve accessibility and implement robust data security technologies to allow the processing of sensitive data, particularly human genetic data. Scientific clouds have emerged as a promising solution to meet these needs. We present three components of the Laniakea software stack, initially developed to support the provision of private on-demand Galaxy instances. These components can be adopted by providers of scientific cloud services built on the INDIGO PaaS layer. The Dashboard translates configuration template files into user-friendly web interfaces, enabling the easy configuration and launch of on-demand applications. The secret management and the encryption components, integrated within the Dashboard, support the secure handling of passphrases and credentials and the deployment of block-level encrypted storage volumes for managing sensitive data in the cloud environment. By adopting these software components, scientific cloud providers can develop convenient, secureand efficient on-demand services for their users.

Kirigami enabled reconfigurable three-dimensional evaporator arrays for dynamic solar tracking and high efficiency desalination.

A kirigami-engineered composite hydrogel membrane is exploited for the construction of three dimensional (3D) solar-tracking evaporator arrays with outstanding evaporation performance and salt tolerance. The hybrid nanofiber network in the hydrogel membrane offers favorable water transport dynamics combined with excellent structural robustness, which are beneficial for the engineering of 3D dynamic structures. Periodic triangular cuts patterned into the membrane allow formation and reconfiguration of 3D conical arrays controlled by uniaxial stretching. With these structures, the tilt angles of the membrane surface are actively tuned to follow the solar trajectory, leading to a solar evaporation rate ~80% higher than that of static planar devices. Furthermore, the tapered 3D flaps and their micro-structured surfaces are capable of localized salt crystallization for prolonged solar desalination, enabling a stable evaporation rate of 3.4 kg m-2 hour-1 even in saturated brine. This versatile design may facilitate the implementation of solar evaporators for desalination and provide inspirations for other soft functional devices with dynamic 3D configurations.

Influence of tangential hydrodynamic force and inclination angle calculation on the dynamic responses analysis of mooring line based on lumped mass method

Research on mooring line response offers a scientific foundation and technical backing for ocean engineering management. The lumped mass method is commonly used to calculate the dynamic responses of mooring line, pioneered by Walton and Polachek, although it ignores the tangential hydrodynamic force. Nakajima addressed this limitation, but the inclination angle calculation for each element is approximated by the average of the adjacent two nodes. To accurately assess the influences of these factors, this work introduces the tangential hydrodynamic force component into the equation of motion for mooring line dynamic analysis based on the lumped mass method. Meanwhile, we improve the discretization process of lumped mass nodes, analyzing half of the connected spring at both ends of each lumped mass node respectively. The detailed formulation and motion equation for static and dynamic mooring line analysis are presented. The time-domain solution procedure based on the finite difference method is adopted. Finally, different external excitations are applied to calculate the dynamic responses of mooring line. The results show that the top tension increases by about 2%–5% considering the contribution of tangential hydrodynamic force, and the inclination angle calculation significantly influences the dynamic configuration of the mooring line when it is intense change.

Computational investigation of nanoemulsion-released tocopherol for treating cardiovascular diseases: Insights from molecular dynamic simulation and deep learning prediction

This research investigated the potential of tocopherol released from nanoemulsion as a therapeutic agent for cardiovascular diseases (CVD) through comprehensive in-silico site-specific molecular docking analysis and AI- driven Molecular Dynamic Simulation, between tocopherol and seven CVD-related proteins (Angiotensin Converting Enzyme (ACE) (1O8a), Human Angiotensin Receptor (4YAY), P38 Mitogen-Activated Protein Kinase (MAPK) (4DLI), HMG-CoA Reductase (1HW9), β-1-Adrenergic Receptor (2YCW), Human C-reactive Protein (1BO9), and Cyclooxygenase-2 (1CX2)). Our findings revealed significant interactions. α-Tocopherol exhibited strong binding affinities, particularly with the 2YCW protein, evidenced by a Vina score of -11.9 ± 0.86 kcal/mol and an inhibition constant of 1.4 ± 0.12 µM. Extensive hydrophobic interactions and significant hydrogen bonds were identified as critical for the stability of these complexes. Furthermore, Molecular Dynamics (MD) simulations, RMSD, Rg, RMSF, and Free Energy Landscape (FEL) profiles, and a deep convolutional neural network (CNN) used for predicting interaction sites from protein sequences, illustrated that the protein-ligand complexes attained dynamic configuration stability with RMSD values converging around 0.3 nm, underscoring the robustness of tocopherol-protein interactions. The pathway analysis highlights the possibility of tocopherol's involvement in interacting with several key biological pathways, Dilated Cardiomyopathy, Arrhythmogenic Right Ventricular Cardiomyopathy, Hypertrophic Cardiomyopathy, and Apoptosis.This study revealed significant insights into the interactions of Nanoemulsion-released tocopherol with key proteins involved in the development of cardiovascular diseases, aimed at improving cardiovascular health. However, the findings of the study require meticulous experimental study and clinical trials to provide accurate results and validate tocopherol's therapeutic efficacy.

Effective Abelian lattice gauge field theories for scalar-matter-monopole interactions

We present a gauge and Lorentz invariant effective field theory model for the interaction of a charged scalar matter field with a magnetic monopole source, described by an external magnetic current. The quantum fluctuations of the monopole field are described effectively by a strongly coupled “dual” Ud(1) gauge field, which is independent of the electromagnetic Uem(1) gauge field. The effective interactions of the charged matter with the monopole source are described by a gauge invariant mixed Chern-Simons-like (Pontryagin-density) term between the two U(1) gauge fields. The latter interaction coupling is left free, and a lattice study of the system is performed with the aim of determining the phase structure of this effective theory. Our study shows that, in the spontaneously broken-symmetry phase, the monopole source triggers, via the mixed Chern-Simons term, which is nontrivial in its presence, the generation of a dynamical singular configuration (magnetic-monopolelike) for the respective gauge fields. The scalar field also behaves in the broken phase in a way similar to that of the scalar sector of the ’t Hooft-Polyakov monopole. Moreover, we show that the modest size of the lattices involved does not have significant effects on the main conclusions of our analysis. Published by the American Physical Society 2024

Atypical dynamic neural configuration in autism spectrum disorder and its relationship to gene expression profiles

Atypical dynamic neural configuration in autism spectrum disorder and its relationship to gene expression profiles

Investigating novel wormhole models in extended teleparallel gravity through thin-shell composed with dark energies

This study focuses on the construction of static spherically symmetrical wormhole solutions within the framework of extended teleparallel gravity. To accomplish this, we consider the anisotropic fluid configuration satisfying the barotropic relation between the energy density and radial/tangential pressure and obtain two shape functions. For both functions, the necessary conditions to describe the existence of a wormhole geometry and the energy constraints are found to be satisfied, indicating the presence of a traversable wormhole in the vicinity of curvature-matter coupled gravity. To establish thin-shell around the wormhole geometry, we employ a cut-and-paste methodology with the Schwarzschild black hole as the outer manifold. We also explore the stability analysis of the thin-shell via linearized radial perturbations around the equilibrium shell radius for both shape functions. We study the impact of quintessence, phantom and dark energies on the dynamical configuration of thin-shell around developed wormhole structures. This study concludes that thin-shell shows maximum stability for the second choice of the shape function composed of phantom energy for massive black holes.

A comprehensive dynamic model and configuration control of a free-floating soft manipulator-spacecraft system

Space robots are inseparable components of many space missions. However, capabilities of space robots with rigid manipulators are restricted in confronting with unknown and confined environments and situations require high safety. To overcome these defects, the potential of bio-inspired soft robots for space applications has recently been addressed in the literature. Dynamic modeling and control of soft manipulators are challenging due to their infinite degrees of freedom. In this paper, a general comprehensive three-dimensional dynamic modeling framework is developed for a floating soft manipulator-spacecraft system employing the Euler-Lagrange method. This framework derives the coupled equations of motion adapting the generalized Jacobian approach. Consequently, the opportunity of exploiting model-based control methods will be provided. In addition, the proposed model avoids numerical singularities once the bending angles are near zero. Furthermore, the generalized Jacobian matrix is defined for any arbitrary point of the soft manipulator essential for the contact dynamics. Eventually, to verify the proposed dynamic modeling procedure, the dynamic response of a floating soft manipulator-spacecraft system released from an initial configuration is investigated. Then, a sliding mode controller is designed for the floating soft manipulator to track the desired shape and compared to the proportional-derivative control scheme. The obtained results follow the physical principles and fulfill the control objective.

Computer Simulation of Rural Landscape Design Based on Remote Sensing Image Technology

Introduction: The field of rural landscape design deals with the design and recovery of rural areas and landscape in a way that it can support natural biodiversity in addition to human needs in sustainable ways as well as maintaining its cultural character. It employs the use of plants, landforms and some water without interference with the environment in order to come up with useful and beautiful spaces. Recognizing the importance of preserving the environment while at the same time investing in developmental projects, it is centralized and focuses on the entire eco-system with the aim of enhancing the lives of the people. Aim: This study aims to develop theoretical aspect of an innovative computer simulation model for designing rural landscapes by applying the technology of remote sensing image. Research methodology: We suggest a new Starling Murmuration search-driven Adaptive YOLOv7 algorithm to identify and categorize several rural buildings and setting types. For the image data, we collected abundant data from several environments using UAV devices to train our proposed model. It is not surprising that our proposed model combined the use of three dimensional (3D) geographic information system (GIS) virtual imaging design model in the simulation of the rural landscape designs. Our recommended model is then extended using SM optimization to improve object detection with YOLOv7. By repeated adjustments of the network parameters in a somewhat similar fashion like flocking, we managed to enhance both accuracy and efficiency. This framework exploits crowdsourcing for delimiting rural buildings and landscapes with high-fidelity. Findings and Conclusion: We implemented our recommended model in Python software. During the phase of evaluation, we evaluate the efficacy of our recommended SM-AYOLOv7 model across a variety of parameters such as precision (91.72%), recall (92.34%), Intersection over Union (IoU) (90.23%), and f1 score (93.64%). Our experimental results precisely indicate that our approach outperforms traditional approaches. We demonstrate significant increases in accuracy and adaptability, especially when adjusting to dynamic configurations.

Load-aware continuous-time optimization for multi-agent systems: toward dynamic resource allocation and real-time adaptability

In the realm of next-generation mobile communication networks, characterized by dynamic and evolving workloads, the efficient resource allocation becomes paramount for achieving optimal performance. This paper addresses the intricate challenges of multiagent resource management through the integration of stochastic learning automata and continuous-time optimization techniques, presenting an innovative solution for real-time adaptability and dynamic load balancing. The central aim is to achieve optimal values for local time-varying cost functions while taking into account resource constraints and the feasibility of local allocation. In the context of multi-agent resource allocation systems, where conditions vary over time, the algorithm exhibits a dynamic adaptability, continuously adjusting to the evolving optimal solutions tailored for each agent. Utilizing stochastic learning automata, the algorithm effectively addresses the time-varying load-balancing function in response to dynamic user demands. Furthermore, we introduced an scalable solution for mobility robustness optimization based on deep reinforcement learning (DRL-MRO). This method dynamically identifies network-wide optimal parameter values across the entire network to accommodate diverse mobility patterns, ensuring the effectiveness of load balancing parameters that seamlessly adapt to the dynamic configuration of the network. The overarching goal is to maintain a consistent quality of service level for each agent, thereby enhancing the overall system performance. Simulation outcomes unequivocally affirm the superior performance of the proposed load balancing approach, rooted in continuous-time optimization and stochastic learning automata, surpassing existing schemes across diverse system configurations.

Cost optimization of dynamic cable lazy wave configurations for floating offshore wind turbines

This research aims to design a low-cost dynamic cable lazy wave configuration at different curvature factors by adopting an integrated approach to optimally size the length of different sections of the dynamic cable accounting for maximum allowable tension, maximum allowable curvature, minimum allowable sag position and maximum allowable hog position. The research explores trade-offs associated with the increase in costs as curvature factor decreases. The configuration is subjected to Near, Far and No offset scenarios to analyse the impact on costs and its performance. The assessment includes determining configuration costs and optimal lengths at different curvature factors for each scenario. Observations reveal that the hang-off point consistently experiences the highest curvature across the arc length in all configurations and scenarios. Optimal configurations for Far scenario outperform configurations designed for No offset scenario when subjected to the remaining two scenarios. Optimal configurations of Near scenario failed to adhere to the maximum allowable curvature limit when subjected to Far and No offset scenarios. The study highlights the sensitivity of the curvature factor to the ratio of lengths of each section in the configuration. These results indicate that a configuration designed for Far offset is more likely to perform well under all scenarios due to its unique section length ratios. The results also portray the possibility of a fit configuration with lower number of buoyancy modules.