Space Evolution Research Articles

3D analysis of long-term airway evolution following orthognathic approach of bimaxillary setback surgery without segmental osteotomy.

Long-term evolution of airway space following bimaxillary setback surgery has been seldom reported. 31 patients with bimaxillary protrusion were included in this study. Bimaxillary setback surgery without segmental osteotomy were performed to alleviate their facial deformity. The pharyngeal airway volume and most constricted airway cross-sectional areas before surgery (T0), one week (T1), and one year (T2) after surgery were measured by 3D image analysis depending on CT data. To exclude the impact of post operational swelling on the airway analysis, the airway changes of another cohort of 10 orthognathic patients without sagittal maxilla or mandible movements were also measured as a control. Body mass index (BMI) was noted and analyzed as well to rule out its interference. Results showed that, in bimaxillary setback surgery patients, no post operational upper pharyngeal airway sleep disorders (UASD) occurred. The mean±SD of pharyngeal airway volume (PAV) and the minimum cross-sectional area (Min-CSA) at T0 were 14921.3±3910.1mm3 and 147.9±75.8mm2, reduced to 11834.1±3916.3mm3(79.3%, P<0.001) and 111.6±60.6mm2(75.4%, P<0.001at T1, and recovered to 14686.8±3917.1mm3(97.1%, P<0.001) and 132.7±62.8mm2 (89.6%, P<0.001) at T2. In control group patients, the mean±SD of PAV were 16540±5518mm3at T0 vs 14248±4340mm3at T1 (P=0.051) and Min-CSA were 156±61mm2(T0) vs159±61mm2at T1 (P=0.849). Besides, At T0 and T2, the mean±SD of the BMI was 20.19±1.80 and 20.04±2.53 respectively (P=0.772). This study suggests that Orthognathic bimaxillary setback reduce the pharyngeal airway space. However, the reduction will largely alleviate in long-term. Aesthetic oriented bimaxillary setback approach is relatively safe when the setback distance is controlled appropriately.

Impulsive Choices Emerge When the Anterior Cingulate Cortex Fails to Encode Deliberative Strategies.

Impulsive individuals excessively discount the value of delayed rewards, and this is thought to reflect deficits in brain regions critical for impulse control such as the anterior cingulate cortex (ACC). Delay discounting (DD) is an established measure of cognitive impulsivity, referring to the devaluation of rewards delayed in time. This study used male Wistar rats performing a DD task to test the hypothesis that neural activity states in ACC ensembles encode strategies that guide decision-making. Optogenetic silencing of ACC neurons exclusively increased impulsive choices at the 8 s delay by increasing the number of consecutive low-value, immediate choices. In contrast to shorter delays where animals preferred the delay option, no immediate or delay preference was detected at 8 s. These data suggest that ACC was critical for decisions requiring more deliberation between choice options. To address the role of ACC in this process, large-scale multiple single-unit recordings were performed and revealed that 4 and 8 s delays were associated with procedural versus deliberative neural encoding mechanisms, respectively. The 4 and 8 s delay differed in encoding of strategy corresponding to immediate and delay run termination. Specifically, neural ensemble states at 4 s were relatively stable throughout the choice but exhibited temporal evolution in state space during the choice epoch that resembled ramping during the 8 s delay. Collectively, these findings indicate that ensemble states in ACC facilitate strategies that guide decision-making, and impulsivity increases with disruptions of deliberative encoding mechanisms.

Adaptive CVgen: Leveraging reinforcement learning for advanced sampling in protein folding and chemical reactions

Enhanced sampling techniques have traditionally encountered two significant challenges: identifying suitable reaction coordinates and addressing the exploration-exploitation dilemma, particularly the difficulty of escaping local energy minima. Here, we introduce Adaptive CVgen, a universal adaptive sampling framework designed to tackle these issues. Our approach utilizes a set of collective variables (CVs) to comprehensively cover the system's potential evolutionary phase space, generating diverse reaction coordinates to address the first challenge. Moreover, we integrate reinforcement learning strategies to dynamically adjust the generated reaction coordinates, thereby effectively balancing the exploration-exploitation dilemma. We apply this framework to sample the conformational space of six proteins transitioning from completely disordered states to folded states, as well as to model the chemical synthesis process of C60, achieving conformations that perfectly match the standard C60 structure. The results demonstrate Adaptive CVgen's effectiveness in exploring new conformations and escaping local minima, achieving both sampling efficiency and exploration accuracy. This framework holds potential for extending to various related challenges, including protein folding dynamics, drug targeting, and complex chemical reactions, thereby opening promising avenues for application in these fields.

Nuove ecologie / Nuovi significati

In December 2022, the COP15 for Biodiversity approved the Kunming-Montreal Global Biodiversity Framework, a protocol for the protection of planetary ecosystems that complements the Paris Agreement on Climate Change with the aim of preventing the collapse of the biosphere. A global network of areas with different degrees of naturalness and anthropization, capable of halting the loss of biodiversity and reducing the concentration of carbon dioxide in the atmosphere, is projected to extend over 30% of the Earth by 2030 to be further consolidated by 2050. The agreement raises a multiplicity of issues that landscape design engages: the conservation of species and ecosystems of the biosphere; the environmental requalification of degraded terrestrial and marine areas; the equitable management of ancestral lands and the rights of indigenous populations; the protection of cultural landscapes and the support of local communities; the abandonment of both the unsustainable exploitation of territories and the musealizations and vernacularizations at the service of global tourism; the enhancement of the ecological contributions of degraded, exploited or underutilized areas, on the inhabited margins or in the operational hinterlands of planetary urbanization; the stwewardship of contemporary anthro-ecological systems towards new forms of equilibrium, conventionally defined by the terms of sustainability and resilience. In short, the Kunming-Montreal agreement requires us to imagine new forms and structures for the evolution of urban and rural space and, at once, new areas for the resurgence of nature. In the colossal, collective undertaking envisaged, the trans-disciplinary design of the contemporary landscape seems to have the opportunity to conquer vast fields of operation and a key role that goes beyond both the technical action of environmental engineering and the taxidermy of natural and cultural conservation. The design of the landscape is in fact called upon to implant a new meaning on portions of the planet, tiny fragments hidden in forgotten interstices, vast settlement or productive expanses, logistical corridors or segments of natural systems. This issue of Ri-Vista collects reflections, experiences, and cases, from the local to the geographical scale, in which the landscape design is capable to establish new ecologies and new ecosystemic balances, while transcribing in situ new narratives and new topologies, scenarios of re-signification of places and dynamics between society and nature, and, with that, new meanings of our living on Earth.

Spatiotemporal Evolution of Territorial Spaces and Its Effect on Carbon Emissions in Qingdao City, China

Land use change has always been a significant factor affecting global carbon emissions. Dissecting the characteristics of territorial space evolution and its impact on carbon emissions is crucial for developing low-carbon-oriented territorial space optimization and governance strategies. This paper calculates the carbon emissions associated with territorial spaces in Qingdao from 2000 to 2020, utilizing land use data alongside various statistical data. Based on the accounting results, the evolution characteristics of territorial spaces and their corresponding carbon emissions, as well as the carbon transition dynamics resulting from space transfer, are analyzed. A carbon transition decomposition formula is then proposed to quantify the differential and spatially heterogeneous impacts of changes in space types and socio-economic development on emissions. The results indicate that: (1) the evolution of territorial spaces in Qingdao during 2000–2020 is characterized by an expansion of living space and a contraction of production and ecological spaces; (2) net carbon emissions rose from 313.98 × 104 tons to 1068.58 × 104 tons, with urban production space contributing the most (69.96% in 2020) due to its significantly high emission density. The spatial distribution of carbon emissions exhibited a stable “northwest–southeast” pattern, with increased dispersion and weakened directionality; (3) the transformation of territorial spaces promoted carbon emissions in Qingdao, with the conversion of urban production space to other uses yielding the most favorable carbon transitions, while the expropriation of agricultural production spaces for urban production and residents’ living has resulted in the most detrimental carbon transitions; (4) socio-economic development shapes the overarching pattern of regional emission density changes, whereas space transfers account for local variations. This paper also identifies priorities for spatial optimization and key sectors for emission reduction. The findings contribute to a deeper understanding of the carbon emission consequences of territorial space transformation in Qingdao, thereby providing valuable insights for regional spatial planning and optimization aimed at promoting low-carbon development.

Detection of Hidden Low-Frequency Earthquakes in Southern Vancouver Island with Deep Learning

Low-frequency earthquakes (LFEs) are small-magnitude earthquakes that are depleted in high-frequency content relative to traditional earthquakes of the same magnitude. These events occur in conjunction with slow slip events (SSEs) and can be used to infer the space and time evolution of SSEs. However, because LFEs have weak signals, and the methods used to identify them are computationally expensive, LFEs are not routinely cataloged in most places. Here, we develop a deep-learning model that learns from an existing LFE catalog to detect LFEs in 14 years of continuous waveform data in southern Vancouver Island. The result shows significant increases in detection rates at individual stations. We associate the detections and locate them using a grid search approach in a 3D regional velocity model, resulting in over 1 million LFEs during the performing period. Our resulting catalog is consistent with a widely used tremor catalog during periods of large-magnitude SSEs. However, there are time periods where it registers far more LFEs than the tremor catalog. We highlight a 16-day period in May 2010, when our model detects nearly 3,000 LFEs, whereas the tremor catalog contains only one tremor detection in the same region. This suggests the possibility of hidden small-magnitude SSEs that are undetected by current approaches. Our approach improves the temporal and spatial resolution of the LFE activities and provides new opportunities to understand deep subduction zone processes in this region.

Role of Cosmological Models in Organic Evolution in Space

Using the dynamic Friedman-Robertson-Walker Cosmological Model of the universe, the possibility of organic evolution in Space in the early universe is explored. According to this model, the universe is expected to perform simple harmonic motion between expansion and contraction. At the end of contraction, the universe assumes the smallest possible finite size with no boundary, while the entire mass of the universe gathers together as gravity particles, or gravity waves, at the center of gravity of universe. As soon as the density of the gravity particles is extremely high and the temperature reaches the flame temperature, a sudden violent explosion hurls the entire material into space uniformly in all directions when the expansion starts. It is in this period of expansion where the precursors of DNA/RNA, such as water, oxides of phosphorus, sugars, heterocyclic bases, compounds of nitrogen, etc. are formed.

Análisis espacio-temporal del proceso de urbanización en la ciudad de Santa Tecla, El Salvador

This study aims to analyze the urbanization process in the municipality of Santa Tecla and propose a generic methodology with free tools so that the population can monitor the spatio-temporal process of urbanization in the municipalities of the metropolitan area of San Salvador using Sentinel satellite images and the current regulatory planning instrument as a reference. The evolution of the 30-year temporal space (1991-2021) of the five-year urban sprawl of the municipality of Santa Tecla was analyzed using Landsat satellite data and contrasted with current regulatory instruments or reference techniques. NDVI and NDBI indices calculated from Sentinel-2 satellite data and applying a hybrid image classification methodology, conflicts in real land use were identified with high resolution. The study concluded that the process in the municipality of Santa Tecla has been disorderly in the last 30 years, which has suspected the risk for the population, because although there is a legal framework for land use planning, its application has been flexible. A hybrid method of classification based on NDVI and NDBI from satellite images has been used to simplify the manual inspection of the area in a given period of time with an acceptable margin of error. ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 53-60.

Retail futures: Customer experience, phygital retailing, and the Experiential Retail Territories perspective

This paper contributes to the existing literature on the evolution of the physical retail space and its effect on customer experience (CX). Reflecting on previous research in the retail CX field, we explore the impact of accelerated change on the role of physical stores and the likely progression of CX management in the context of integrated physical and digital channels in the fashion retail domain. Qualitative exploratory research was conducted with industry experts using semi-structured interviews to reveal insights and projections regarding phygital retail and CX evolution. The Experiential Retail Territories (ERT) framework is introduced as a new perspective on the future of fashion retailing.

Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network

This paper proposes a novel intelligent method for defining and solving the reservoir performance prediction problem within a manifold space, fully considering geological uncertainty and the characteristics of reservoirs performance under time-varying well control conditions, creating a surrogate model for reservoir performance prediction based on Conditional Evolutionary Generative Adversarial Networks (CE-GAN). The CE-GAN leverages conditional evolution in the feature space to direct the evolution of the generative network in previously uncontrollable directions, and transforms the problem of reservoir performance prediction into an image evolution problem based on permeability distribution, initial reservoir performance and time-varying well control, thereby enabling fast and accurate reservoir performance prediction under time-varying well control conditions. The experimental results in basic (egg model) and actual water-flooding reservoirs show that the model predictions align well with numerical simulations. In the basic reservoir model validation, the median relative residuals for pressure and oil saturation are 0.5% and 9.0%, respectively. In the actual reservoir model validation, the median relative residuals for both pressure and oil saturation are 4.0%. Regarding time efficiency, the surrogate model after training achieves approximately 160-fold and 280-fold increases in computational speed for the basic and actual reservoir models, respectively, compared with traditional numerical simulations. The reservoir performance prediction surrogate model based on the CE-GAN can effectively enhance the efficiency of production optimization.

Flow field characteristics and vibration responses of saddle-shaped membrane structures

Elastically mounted flexible membrane roofs exposed to flows are prone to vortex-induced vibrations and even aero-instability due to the strong fluid–structure interaction (FSI). This study is to investigate the FSI mechanism in the saddle-shaped membrane structure over a range of Reynolds numbers and wind directions in laminar flows, by bridging structural vibration responses and flow dynamics. The aeroelastic characteristics of membrane structures, including statistics of displacement responses, oscillation frequency, and oscillation damping ratios, were identified from the perspective of time and frequency domains. Simultaneously, the particle image velocimetry system was employed to visualize the flow features, including velocity vector, turbulence intensity, and vortex evolution in both space and time. The flow modes were further decomposed by proper orthogonal decomposition (POD) to capture the salient aspects of the flow. Three patterns of POD modes are identified, and the first mode plays the dominant role in POD modes. It showed that as the wind Reynolds number increases, the space between the shear layer and membrane surface would be narrowed, and resultantly the vortices turn out smaller in scale and closer in space. This trend leads to an increase in the frequency of vortex shedding and a stronger FSI effect. When the frequency of vortex shedding approaches the fundamental frequency of structures, the vibration of the membrane would be shifted from turbulent buffeting to vortex-induced resonance, featured with lock-in frequency, significant amplified displacement, and negative aerodynamic damping ratio.

Modified three-dimensional nonlinear Schrödinger equation in finite water depth for gravity waves with influence of slowly varying currents

A new modified three-dimensional (3D) nonlinear Schrödinger equation (3DMNLSE) is derived for gravity waves in the presence of wind, dissipation, and two-dimensional slowly varying currents, which include transverse and longitudinal currents in finite water depth. The effect of currents on modulational instability (MI) is investigated. The divergence (convergence) effect of longitudinal favorable (adverse) currents decreases (increases) the MI growth rate and region of instability while suppressing (enhancing) the formation of freak waves. Meanwhile, the transverse currents hardly affect the occurrence of MI. Furthermore, some results from the simulations with the space evolution of 3DMNLSE are presented. The results show the ubiquitous occurrence of freak waves in 3D wave fields under certain sets of initial conditions. We demonstrate that larger waves can be triggered when a weakly modulated wave train enters a region of adverse currents. The maximum amplitude of a freak wave depends on the ratio of the current velocity to the wave phase velocity.

Spatio-Temporal Evolution and Implications of Urban Residential Space Based on the New Commercial Housing in Xi’an, China, 2006–2022

Since 1998, comprehensive housing marketization has led to a more complex urban residential space structure in China, as evidenced by the changes in new commercial housing. The current stage is critical for China in its pursuit of high-quality and sustainable urban development, with the spatial structure of housing being a key aspect in achieving this goal. In order to clarify the characteristics of the urban residential space in China and grasp the spatio-temporal changes of new commercial housing, this study takes the data of new commercial housing projects in Xi’an, northwest China, from 2006 to 2022 as the basis, and uses the GIS method to explore the characteristics of the spatio-temporal evolution of the urban residential space and to investigate the factors influencing it. The results reveal changes in the number, size, and spatial distribution of new commercial housing in Xi’an. The evolution of residential space is influenced by cultural and social changes, population, and economic factors, in addition to the main influence of national policies. The renewal of urban villages into commercial housing projects is a prominent feature of changes in urban residential space, which saves construction land and improves residents’ living conditions. Finally, the expansion of urban residential space parallels the urbanization process, showing a pattern of ‘external expansion accompanied by internal renewal’, and the evolution process and property rights management are different from those of other countries.

Accelerated biological evolution in outer space: Insights from numerical analysis

As humanity continues its space exploration, understanding biological evolution in extraterrestrial environments will become crucial. On Earth, organisms have adapted to new environments, and some genetic data indicate positive natural selection. This paper investigates the impact of space environments, such as high radiation and microgravity, which may lead to high mutation rates and positive selection, on biological evolution, using numerical analysis. It quantifies the evolutionary rates and the time until a new mutation reaches fixation (100 % frequency within population) beyond Earth. The findings reveal accelerated evolution rates, 1,000 to 10,000 times faster than on Earth for beneficial mutations, with the time until fixation being 0.002 to 0.004 times shorter, assuming mutation rates are 10–100 times higher. These results offer insights into various areas, including space facility design, space agriculture, astrobiological exploration, and life sustainability beyond Earth and Solar System, illuminating the potential for a ‘Big Bang of Evolution’ in outer space.

Dose increment in ultrashort particle irradiations via coherent stopping power

We present a relativistic self-consistent theory of the coherent stopping power (CSP) of ultradense charged particle beams propagating in a dense matter. CSP corresponds to a collective inelastic collision which adds to the ordinary stopping power of individual particles. Unlike the latter, which depends only on the particles' energy, CSP depends upon many more parameters such as the total charge of the ensemble and its charge density and shape. This paves the way for a broad variety of novel methods to tailor particle absorption and penetration in a dense matter. CSP losses can be explained both by collective excitations of single or multiple molecules and by the emission of coherent Cherenkov radiation. Here we demonstrate that the former mechanism is more relevant than the latter. We find that the coherent energy absorption of subpicosecond particle bunches in water occurs exciting a broad Debye process in the GHz range and an intermolecular stretching vibration mode in the THz region. We generalize the Bethe-Bloch stopping power formula to coherent effects including self-forces, dielectric screening, and absorption by the dense matter. For the sake of a self-consistent dynamical theory including phase space evolution, we have also generalized the Fermi-Eyges theory of particle diffusion to the presence of forces. Nonlinear dynamics is demonstrated, inducing nonlinear dose release, beam self-focusing, and self-enhancement of coherent losses. Given the advent of ultraintense particle sources and their use for biomedical and other relevant applications, our results may be of paramount importance for contemporary and future developments of science and technology. Published by the American Physical Society 2024

Simulating the quantum Fourier transform, Grover's algorithm, and the quantum counting algorithm with limited entanglement using tensor networks

Quantum algorithms reformulate computational problems as quantum evolutions in a large Hilbert space. Most quantum algorithms assume that the time evolution is perfectly unitary and that the full Hilbert space is available. However, in practice, the available entanglement may be limited, leading to a reduced fidelity of the quantum algorithms. To simulate the execution of quantum algorithms with limited entanglement, tensor-network methods provide a useful framework, since they allow us to restrict the entanglement in a quantum circuit. Thus, we here use tensor networks to analyze the fidelity of the quantum Fourier transform, Grover's algorithm, and the quantum counting algorithm as the entanglement is reduced, and we map out the entanglement that is generated during the execution of each algorithm. In all three cases, we find that the algorithms can be executed with high fidelity even if the entanglement is somewhat reduced. For example, the quantum counting algorithm can be executed with a high fidelity beyond a certain threshold level of entanglement. Our results provide an understanding of the entanglement that is required to execute the three algorithms, and our simulations based on tensor networks can easily be applied to other algorithms. Published by the American Physical Society 2024

Evolution and Innovation of Guangxi Yao Mountain Residential Architecture Space from the Perspective of Cultural Heritage

Enhancing national cultural self-confidence involves promoting and strengthening the protection and utilisation of traditional national villages. Studying how to protect and inherit the resources of these villages, as well as utilising existing resources in a sustainable manner, poses a challenging issue. Further research is needed to investigate the influence of regional culture on residential buildings in the mountainous areas of the Yao people in Guangxi, and to explore how traditional architectural elements can preserve their cultural essence using modern artistic language. The project aims to: 1. Examine how regional culture influences Yao ethnic minority houses in Guangxi's mountains; 2. Evaluate existing challenges and implement contemporary design for improvement; 3. Create sustainable and culturally significant Yao mountain dwellings. The research collected qualitative data from six towns using a combination of semi-structured interviews, participant observation, and reviewing internet and print news sources. The residential structures in Yaochi Mountain District, Guangxi exhibit unique regional cultural traits, although they also have deficiencies in several areas. This study find that the beauty of the natural environment remains constant but the architectural vestiges and cultural history show remarkable variance, both of which greatly contribute to sustainable development. This study found that traditional villages in Guangxi share a number of characteristics, including a severe deficiency in clean energy and a poor rate of carbon utilisation, during our investigation of the sustainable development of the spatial dimension of the ecological legacy of these communities. According to a weight analysis performed at the sub-index factor level, the variety of building uses is the most important indicator of the spatial sustainability of traditional villages in Guangxi. The outcomes of this study provided a valuable empirical evidence and practical suggestions for areas and nations involved in the preservation of cultural heritage and the investigation of sustainable rural development.

Infrastructure and the evolution of settlement space: a study from a spatial anthropological perspective on the Pearl River Delta

The complex system of the settlement space in China’s Pearl River Delta region has always featured infrastructure as a key medium to explore the evolution of the settlement space. Therefore, anthropological research on infrastructure has become an important dimension for researchers to in analyzing social and spatial issues in the Pearl River Delta region. This study explores the correlation mechanism between infrastructure and settlement space by referring to literature reviews and empirical cases, revealing the underlying political factors, economic factors, cultural factors, and complex social change process of the physical space through empirical case studies. It provides a theoretical research genealogy for exploring spatial evolution in addition to a research sample for analyzing social and cultural changes in the Pearl River Delta region. Moreover, it emphasizes the cognitive significance of historical context and has important implications for future urban development.

A hybrid Eulerian-Lagrangian Vlasov method for nonlinear wave-particle interaction in weakly inhomogeneous magnetic field

We present a hybrid Eulerian-Lagrangian (HEL) Vlasov method for nonlinear resonant wave-particle interactions in weakly inhomogeneous magnetic field. The governing Vlasov equation is derived from a recently proposed resonance tracking Hamiltonian theory. It gives the evolution of the distribution function with a scale-separated Hamiltonian that contains the fast-varying coherent wave-particle interaction and slowly-varying motion about the resonance frame of reference. The hybrid scheme solves the fast-varying phase space evolution on Eulerian grid with an adaptive time step and then advances the slowly-varying dynamics by Lagrangian method along the resonance trajectory. We apply the HEL method to study the frequency chirping of whistler-mode chorus wave in the magnetosphere and the self-consistent simulations reproduce the chirping chorus wave and give high-resolution phase space dynamics of energetic particles at low computational cost. The scale-separated HEL approach could provide additional insights of the wave instabilities and wave-particle nonlinear coherence compared to the conventional Vlasov and particle-in-cell methods.

PSR B0943+10: Mode Switch, Polar Cap Geometry, and Orthogonally Polarized Radiation

As one of the paradigm examples to probe into pulsar magnetospheric dynamics, PSR B0943+10 (J0946+0951) manifests representatively, showing a mode switch, orthogonal polarization, and subpulse drifting, frequently studied below 600 MHz. Here, both integrated and single pulses are studied at a high frequency (1.25 GHz) with FAST. The mode switch is studied using a profile decomposition method. A phase space evolution for the pulsar’s mode switch shows a strange-attractor-like pattern. The radiative geometry is proposed by fitting polarization position angles with the rotating vector model. The pulsar pulse profile is then mapped to the sparking locations on the pulsar surface, and the differences between the main pulse’s and the precursor component’s radiative processes may explain the X-ray’s synchronization with radio mode switch. Detailed single pulse studies on B0943+10's orthogonally polarized radiation are presented, which may support certain models of radiative transfer of polarized emission. In particular, the difference in orthogonal polarization modes’ circular polarization might reflect the cyclotron absorption in pulsar magnetospheres. B0943+10's B and Q modes evolve differently with frequency and have different proportions of orthogonal modes, which indicates possible magnetospheric changes during mode switch. For Q mode pulse profile, the precursor and the main pulse components are orthogonally polarized, and are probably originated from different depths in the magnetosphere. The findings could impact significantly on the pulsar electrodynamics and the radiative mechanism related.