Dynamic Interaction Research Articles

FACTORS SHAPING THE MILLENNIALS DEPENDENCE ON PUBLIC SPACE

Millennial generation grew up in the era of rapid development of information technology, having a special relationship with public space. The millennial generation's dependence on information technology and internet has changed the way they interact with the real world. The author conducted a factor analysis with 178 participants to pinpoint the dimensions shaping the millennials ‘dependence on public spaces. Our findings highlight crucial factors, encompassing feature zones and private zones, that play a role in the millennials' dependence on these shared environments. Millennials value three key aspects of public spaces: 1) “Work-Friendly Areas” with internet access and collaboration support; 2) “Vibrant Social Spaces” for dynamic interactions and energy and 3) “Cleanliness” for a sense of security and comfort. Focusing on these elements can enhance millennials' experience in public spaces.

Quantifying conformational changes in the TCR:pMHC-I binding interface

BackgroundT cells form one of the key pillars of adaptive immunity. Using their surface bound T cell antigen receptors (TCRs), these cells screen millions of antigens presented by major histocompatibility complex (MHC) or MHC-like molecules. In other protein families, the dynamics of protein-protein interactions have important implications for protein function. Case studies of TCR:class I peptide-MHCs (pMHC-Is) structures have reported mixed results on whether the binding interfaces undergo conformational change during engagement and no robust statistical quantification has been done to generalise these results. Thus, it remains an open question of whether movement occurs in the binding interface that enables the recognition and activation of T cells.MethodsIn this work, we quantify the conformational changes in the TCR:pMHC-I binding interface by creating a dataset of 391 structures, comprising 22 TCRs, 19 MHC alleles, and 79 peptide structures in both unbound (apo) and bound (holo) conformations.ResultsIn support of some case studies, we demonstrate that all complementarity determining region (CDR) loops move to a certain extent but only CDR3α and CDR3β loops modify their shape when binding pMHC-Is. We also map the contacts between TCRs and pMHC-Is, generating a novel fingerprint of TCRs on MHC molecules and show that the CDR3α tends to bind the N-terminus of the peptide and the CDR3β tends to bind the C-terminus of the peptide. Finally, we show that the presented peptides can undergo conformational changes when engaged by TCRs, as has been reported in past literature, but novelly show these changes depend on how the peptides are anchored in the MHC binding groove.ConclusionsOur work has implications in understanding the behaviour of TCR:pMHC-I interactions and providing insights that can be used for modelling Tcell antigen specificity, an ongoing grand challenge in immunology.

A Critical Discourse Analysis of Imam Ali's (PBUH) Sermon during the Kharijites' Sedition

Critical discourse analysis (ACD) is a qualitative approach to text analysis that stresses the dynamic interaction between the text and its context. The current study tries to investigate the three levels of interaction between Imam Ali (PBUH) and Kharijites—description, interpretation, and explanation adapting a descriptive-analytical method of Fairclough's theory. This study first focuses on the linguistic and rhetorical devices used in Imam`s sermons. Secondly, It exposes the betrayal of the Kharijites and the frustration of their confrontation with the dominant ideology of power in society. The results explain Imam Ali's ideological conflict with the Kharijites` ideology in his sermons, how he affects social and political events in society, and how he affects Kharijites` discourse.

Investigating Interaction Dynamics of an Enantioselective Peptide‐Catalyzed Acylation Reaction

Modern nuclear magnetic resonance (NMR) methods like carbon relaxation dispersion in the rotating frame (13C‐R1ρ) and proton chemical exchange saturation transfer (1H‐CEST) are key methods to investigate molecular recognition in biomacromolecules and to detect molecular motions on the µs to s timescale, revealing transient conformational states. Changes in kinetics can be linked to binding, folding, or catalytic events. Here, we investigated whether these methods allow detection of changes in the dynamics of a small, highly selective peptide catalyst during recognition of its enantiomeric substrates. The flexible tetrapeptide Boc‐l‐(π‐Me)‐His‐AGly‐l‐Cha‐l‐Phe‐OMe, used for the monoacetylation of cycloalkane‐diols, is probed at natural abundance using 13C‐R1ρ and 1H‐CEST. Indeed, we detected differences in dynamics of the peptide upon interaction with the diol. Importantly, these differ depending on the enantiomer of the substrate used. These enantiospecific influences of the substrates on the dynamics of the peptide are rationalized using computational techniques. We find that even though one enantiomer reacts faster, as confirmed by reaction monitoring, the other is more tightly bound in DCM (as confirmed by 1H‐saturation transfer difference (STD) measurements). These findings provide insights into the recognition of the substrates and explain the selectivity differences observed between the solvents toluene and DCM.

Investigating Interaction Dynamics of an Enantioselective Peptide‐Catalyzed Acylation Reaction

Modern nuclear magnetic resonance (NMR) methods like carbon relaxation dispersion in the rotating frame (13C‐R1ρ) and proton chemical exchange saturation transfer (1H‐CEST) are key methods to investigate molecular recognition in biomacromolecules and to detect molecular motions on the µs to s timescale, revealing transient conformational states. Changes in kinetics can be linked to binding, folding, or catalytic events. Here, we investigated whether these methods allow detection of changes in the dynamics of a small, highly selective peptide catalyst during recognition of its enantiomeric substrates. The flexible tetrapeptide Boc‐l‐(π‐Me)‐His‐AGly‐l‐Cha‐l‐Phe‐OMe, used for the monoacetylation of cycloalkane‐diols, is probed at natural abundance using 13C‐R1ρ and 1H‐CEST. Indeed, we detected differences in dynamics of the peptide upon interaction with the diol. Importantly, these differ depending on the enantiomer of the substrate used. These enantiospecific influences of the substrates on the dynamics of the peptide are rationalized using computational techniques. We find that even though one enantiomer reacts faster, as confirmed by reaction monitoring, the other is more tightly bound in DCM (as confirmed by 1H‐saturation transfer difference (STD) measurements). These findings provide insights into the recognition of the substrates and explain the selectivity differences observed between the solvents toluene and DCM.

Dynamic strain ageing of L12-strengthened Ni-Co base high-entropy alloy and unraveling its deformation mechanisms in strain ageing process

Dynamic strain ageing (DSA) of L12-strengthened Ni-Co base high-entropy alloy (HEA) was examined at temperatures varying from 20 to 600 °C with strain rates between 10–2 to 10–4 s-1. In normal DSA regimes, elevating temperature or lowering strain rate advances the DSA behavior, resulting in the lowered critical strain and raised amplitude of serrations. Based on strain-rate jump tests, the negative strain-rate sensitivity induced by DSA was observed at the elevated temperature regime, and high apparent activation volumes ranging from 97∼ 737b3 correspond to the strong obstacles effect from the precipitates and the additional pinning strengthening of solute atoms. Transmission electron microscopy evidence suggests that stacking faults prevailed at all testing temperatures, while the serration changes are the outcomes of their dynamic interactions with precipitates and condensed Cr, Co-rich solute cloud. Subsequently, in normal DSA regimes, activation energies required for the onset of type A, a mixture of type A and type A + C, and a mixture of type A + B and type C serrations are 30.6, 65.8, and 101.1 kJ/mol determined by strain ageing model at strain rates of 10–2, 10–3, and 10–4 s-1, respectively. Lastly, a two-time parameter-based Cottrell-Bilby strain aging kinetic model that considers the solute-dislocation interaction in a pipe diffusion manner is applied to evaluate the DSA strengthening concerning strain, strain rate, and temperature.

Detection Rate of Galaxy Cluster-lensed Stellar Binary Black Hole Mergers by the Third-generation Gravitational-wave Detectors

Gravitational waves (GWs) from stellar binary black hole (sBBH) mergers can be strongly gravitational lensed by intervening galaxies/galaxy clusters. Only a few works have investigated cluster-lensed sBBH mergers by adopting oversimplified models, while galaxy-lensed ones have been intensively studied. In this paper, we estimate the detection rate of cluster-lensed sBBH mergers with third-generation GW detectors and its dependence on the lens models. We adopt detailed modeling of galaxy cluster lenses by using the mock clusters in the Synthetic Sky Catalog for Dark Energy Science with LSST (cosmoDC2) and/or approximations of the pseudo-Jaffe profile or an eccentric Navarro–Frenk–White dark matter halo plus a bright central galaxy with singular isothermal sphere profile. Considering that the formation of sBBH mergers is dominated by the evolution of the massive binary star (EMBS) channel, we find that the detection rate of cluster-lensed sBBHs is ∼5–84 yr−1, depending on the adopted lens model and uncertainty in the merger rate density, which is about ∼13−2.0+28 yr−1 if adopting relatively more realistic galaxy clusters with central main and member galaxies in the cosmoDC2 catalog, close to the estimated detection rate of sBBH mergers lensed by galaxies. In addition, we also consider the case in which the production of sBBH mergers is dominated by the dynamical interactions in dense stellar systems. We find that the detection rate of cluster-lensed sBBHs from the dynamical channel is about 1.5 times larger than that from the EMBS channel, and the redshift distribution of the former peaks at a higher redshift (∼3) compared with that from the latter (∼2).

Spatial scale drives pedodiversity-elevation relationship in Botswana

Elevational distribution affects pedodiversity (a measure or indicator of soil diversity) by controlling factors like climate, vegetation, and water drainage. It plays a vital role as a constant variable in soil formation processes (e.g., mineralization, eluviation, and illuviation, etc.) thus promoting diverse soil types at different toposequence formations. However, the relationship between pedodiversity and elevation at various spatial scales remains poorly understood and obscure, especially for dryland regions. Here, we first derive a national-scale pedodiversity map of Botswana, explaining more than 50% of the variance. For this map, elevation is among the most important environmental covariates influencing soil diversity. We further examine how spatial scale indicators such as spatial extent (i.e., countrywide, and locally) and resolution (i.e., 90m, 900m, 9000m, and 90000m) systematically influence landscape pedodiversity. While viewing the data countrywide, the relationship between pedodiversity and elevation maintained a negative or inverse linear trend (i.e., meaning that as elevation increases, pedodiversity decreases), but when viewed locally—for the small district, it showed a positive or direct linear trend (i.e., both elevation and pedodiversity increase simultaneously). This can be explained by differences in elevation patterns together with complex and dynamic interactions between scale-dependent soil-forming factors like land use type which tend to dominate local scales. Significant differences in pedodiversity related to the spatial resolution of geodata inputs were noticeable, for example, the local coefficient of determination values ranged from 0.06 to 0.65 for fine to coarse spatial resolutions respectively. Together, our findings demonstrate that the relationships between pedogenesis factors (e.g. elevation) and pedodiversity are scale-dependent. Even a small change in spatial resolution can lead to significant variations in pedodiversity, especially in semi-arid areas. Therefore, taking this into account can reduce overly optimistic conclusions about the landscape patterns we observe.

Factors Associated with Occupational Performance in Older People with Stroke

Objectives: Occupational performance occurs in a dynamic interaction between the people, their occupations, and context. Stroke could affect the individual’s occupational performance, which is the basis of social life. This study aimed to investigate the factors affecting stroke patients’ occupational performance. Methods: In this descriptive-analytic study, 55 people with stroke participated. The patients completed the Canadian occupational performance measure (COPM), Barthel index, Brunnstrom stage, Montreal cognitive assessment, and a demographic questionnaire. Results: The results showed a significant correlation between occupational satisfaction and performance with cognition, the activities of daily living (ADL), and the severity of impairment in the upper and lower extremities (P <0.01). The results of linear regression show that cognition level could significantly predict occupational performance (R= 0.83, P <0.01) and satisfaction (R= 0.81, P <0.01) after stroke. Discussion: Results show that the cognitive level could predict occupational performance in patients with stroke. Performing daily living activities and lower limb impairment could predict satisfaction with occupational performance. Therefore, it is recommended that therapists consider the cognition in stroke patients through a proper therapeutic plan to prevent participation restrictions.

Empowering Learning Networks: Insights from Social Network Analysis in Inquiry-Based Discussions

This study investigated the dynamics of complex interactions within inquiry-based discussions by visualizing patterns using social network analysis. Researchers explored network measures when learners participated in inquiry-based discussions with Practical Inquiry Model (PIM) questions and non-PIM questions while playing the weekly moderator’s role. The findings revealed that at the group level, purposefully designed inquiry-based discussions can create fairly cohesive, evenly distributed, and proportionally consistent networks. Discussions featuring both PIM and non-PIM questions resulted in a moderate level of interaction, as learners adhered to the specified requirements for the number of responses. While discussions with non-PIM questions appeared more interactive with higher response requirements, discussions with PIM questions actually resulted in greater interaction, as evidenced by students exceeding the average number of required responses per student. The findings also revealed that despite similar discussion prompts and discussion requirements in both PIM and non-PIM, the flow of information can vary based on how closely learners are connected. At the individual level, the results revealed that learners' levels of participation, influence, and network positions fluctuated and shifted in each discussion. In addition, the results did not reveal any impact of the moderator's role on learner participation and interaction in discussions with both PIM and non-PIM questions. This study’s findings can help researchers and practitioners design a well-distributed network to enhance learner interaction in inquiry-based discussions with the balance of PIM and non-PIM questions.

Experimental insights into droplet behavior on Van der Waals and non-Van der Waals liquid-impregnated surfaces

Droplet impact is a fascinating phenomenon that occurs when a liquid droplet collides with a surface. It is not only a fundamental area of scientific inquiry but also has practical implications across many industries and natural systems. The dynamics during droplet impact on liquid-impregnated surfaces (LIS) are of special interest because the properties of the surface and impregnated liquid may significantly change the impact outcome. We present a detailed study of the impact and subsequent retraction of liquid droplets on a liquid-impregnated surface using high-speed imagery. Square-shaped textures with varying post-spacings of 5, 20, and 30 μm on a silicon wafer were fabricated and functionalized using octadecyltrichlorosilane. Two different lubricants, silicone oil and hexadecane, were infused to investigate how their properties affect impact dynamics. Droplet impacts were investigated on these surfaces across a broad range of Weber numbers, i.e., (28–495). Additionally, we measured the stability of the LIS surface by calculating spreading coefficients and contact angles. The experiments revealed that the properties of the infused oil play an insignificant role in droplet dynamics, including spreading, rebound, and unique phenomena related to oil interaction with surface textures. This study provides insights into the intricate dynamics of droplet interactions with LIS, offering valuable contributions to understanding surface-wetting phenomena.

Major diet of common carp (Cyprinus carpio L.) over different developmental stages in rice-field: agroecological interactions between fishes and rice in Sichuan, China, based on DNA metabarcoding approach

The rice-fish co-culture system (RFS) is a traditional cooperative farming model employed in southern China that can achieve doubling the harvest of rice (Oryza sp.) and fish. Most studies on RFS have focused on ecological mechanisms, benefits, ecosystem services, and agroecosystem functions; however, little is known about the baseline dietary composition in common carp of RFS, particularly across different developmental stages. In this study, we applied DNA metabarcoding of invertebrates (COI) and plants (Rbcl) to investigate the natural diets of common carp (Cyprinus carpio) across three developmental stages: juvenile (May), sub-adult (July), and adult (September). The animal-derived diets of common carp were dominated by prey from the orders Diptera, Lepidoptera, and Hemiptera, and the main plant-derived food items belonged to the families Poaceae, Araceae, and Hydrocharitaceae. We examined variations in the dietary compositions of common carp across three developmental stages to capture adaptations to seasonal changes in food resource availability. Additionally, we detected insect pests (species from the genera Macrosteles and Mythimna) and weeds (Eleusine indica, Alternanthera philoxeroides, Mazus japonicus, and Poa annua) in the diets of common carp, confirming the ecological benefits of common carp in rice fields by reducing insect pests and weeds. Characterizing the dietary composition and variation of common carp over developmental stages contributes to our understanding of its foraging ecology, dietary niche, and dynamics of trophic interactions, and provides critical information for evaluating the ecological benefits of common carp in RFS.

A Global-Local Graph Attention Network for Deformable Linear Objects Dynamic Interaction With Environment

A Global-Local Graph Attention Network for Deformable Linear Objects Dynamic Interaction With Environment

Decentralized peer-to-peer energy trading in microgrids: Leveraging blockchain technology and smart contracts

Microgrids are regarded as vital components in contemporary realm of energy system improvement, resilience, and sustainability. In this paper a novel decentralized peer-to-peer energy trading system leveraging blockchain technology is proposed. The proposed model not only demonstrates the implementation of blockchain technology in microgrids but also transforms the energy sector by emphasizing decentralization, security and efficiency. This research aims to enhance the energy trading system by including smart contracts written on the Ethereum network. Energy Token and Demand Response contracts are integrated to enable dynamic interactions inside microgrids, which leads to a transparent, secure, and efficient energy trading system. Moreover, automation of energy transactions and elimination of intermediaries ensure cost effectiveness and utilization of excess energy potentially reduce dependency on the main grid. A microgrid system is designed in Simulink for distributed energy trading. Energy credits are represented by standard ERC-20 digital token and then demand response contract dynamically adjusts rewards and energy prices based on energy production and consumption. the ERC-20 contract manages the token transaction and then demand response contract enforces governance rules. The purpose of a demand response contract is to enable the automatic and efficient control of energy usage in response to changing demand and supply conditions. The use of the Web3 library further facilitates a direct and smooth connection between the blockchain network and microgrids. The results demonstrate the successful implementation of both smart contracts, making trading possible at noon when the combined generation from solar array and energy management system exceed the energy demand.

Dyadic interaction of parentification in Chinese families of maternal depression: A qualitative study.

This qualitative study explores the lived experiences of parent-child dyads to understand the occurrence of parentification in Chinese families affected by parental depression. Utilizing purposive sampling, families were recruited from community mental health services in Hong Kong, focusing on parents with major depressive disorder and their adolescent children. Data were collected from 14 families through in-depth, semistructured interviews with adolescents (n = 8) and parents (n = 12), as well as dyadic interviews (n = 8), and analyzed utilizing thematic analysis. The central theme, "Complementary Dynamic Interaction: Rippled Relationship," captures the mutual, circular, and reciprocal interactions within parent-adolescent dyads in the context of parental depression. These findings highlight the unique dynamics of parentification in Chinese families affected by parental depression.

Purity benchmarking study of error coherence in a superconducting qubit

In this study, we employ purity benchmarking (PB) to explore the dynamics of gate noise in a superconducting qubit system. Over 1110 h of observations on an Xmon qubit, we simultaneously measure the coherence noise budget across two different operational frequencies. We find that incoherent errors, which predominate in overall error rates, exhibit minimal frequency dependence, suggesting that they are primarily due to wideband, diffusive incoherent error sources. In contrast, coherent errors, although less prevalent, show significant sensitivity to operational frequency variations and telegraphic noise. We hypothesize that this sensitivity is due to interactions with a single strongly coupled environmental defect—modeled as a two-level system—which influences qubit control parameters and causes coherent calibration errors. Our results also demonstrate that PB offers improved sensitivity, capturing additional dynamics that conventional relaxation time measurements cannot detect, thus presenting a more comprehensive method for capturing dynamic interactions within quantum systems. The intricate nature of these coherence dynamics underscores the need for further research.

Characterizing interactive compound flood drivers in the Pearl River Estuary: A case study of Typhoon Hato (2017)

Tropical cyclone (TC) induced compound floods involve dynamic interactions among astronomical tides, storm surges, precipitation, and associated river pulses. This study employs a one-way coupled WRF, Delft3D, and HEC-RAS model to investigate the impacts of oceanic, pluvial, and fluvial processes on compound flood dynamics during Typhoon Hato (2017) in the Pearl River Estuary (PRE), South China. Total water levels driven by different combinations of flood drivers are modeled and analyzed. Relative contributions of each type of flood driver are quantified and used to categorize flood zones. This study highlights the persistent impacts of storm surges and their nonlinear interactions with other flood drivers. They can modify both the timing and magnitude of maximum water levels, thereby distorting tidal signals and contributing to post-TC landfall water level peaks. Along coastal regions, water levels exhibit three successive peaks, predominantly driven by storm surge, rainfall, and the combined actions of both factors, respectively. In upstream regions and coastal areas sheltered from islands, a singular water level peak arises exclusively from rainfall-runoff processes. Moreover, nonlinear interactions between surge and rainfall-runoff have non-negligible impacts on the relative contribution of individual flood drivers, which underscores the necessity of considering both rainfall and storm surge in modeling compound flood water levels. During the flooding period, peak storm surge and the following peak rainfall resulted in a time-varying distribution of flood zones. Alternating feedback between compounded and ocean-dominant areas manifests in the midsections of the upper PRE. Maximum flooding depth, extent, and duration are mainly influenced by rainfall. Storm surges play a secondary role, causing intense but short-lived flooding in coastal regions. These findings aid in understanding the generation mechanism of compound floods and provide references for hazard mitigation strategies.

An evacuation model considering pedestrian group behavior under violent attacks

In recent years, violent attacks have garnered significant attention from the international community and gradually evolved into a global issue. In responding to such emergencies, effective emergency evacuation is an essential means to ensure public safety. In order to explore the pedestrian evacuation dynamics in violent attacks and understand the behavioral characteristics of individuals and the dynamic interactions of groups during the evacuation process, this paper proposes an agent-based cellular automata evacuation model. First, each agent is assigned several internal attributes such as life value, panic value, and movement speed, and the assignments fully take into account the heterogeneity of individuals. Next, by setting the attack strategy of attackers and the evacuation mechanism of pedestrians, the complex system is modeled from a microscopic perspective. Finally, the effects of critical factors on the pedestrian evacuation process, such as panic coefficient, crowd structure, group ratio, attack distance and intensity, attacker location and number, and counterattack probability, are discussed through simulation. The results show that the tension caused by moderate panic is beneficial, but excessive panic will lead to increased evacuation time and fatalities. Meanwhile, the group behavior among pedestrians causes them to move relatively lagging, and the evacuation efficiency decreases as the group scale increases. Additionally, increases in attack intensity, attack distance, and attacker number all result in more casualties, and the consequences are most severe when multiple attackers operate separately, but counterattacks by pedestrians can significantly improve the overall safety of evacuation. Our study can provide some reference and basis for emergency management under violent attacks.

Shaping light rail vehicle wheel profile in terms of wear and ride safety

This paper presents relationships between tram wheel profile geometry and ride safety and wear factors in a model based approach. In order to properly formulate the assumptions for the wheel profile geometry, the influence of selected parameters of the tram wheel profile (number of contact points, clearance between the wheel and the rail, flange inclination) on the dynamic interaction with the rail was determined. Referring to the current state of tram operation conditions in Polish cities, as well as the available scientific literature, the existing, incorrectly selected wheel-rail pairs were also identified in terms of unfavourable placement of contact points, similarity of profile shapes and clearance between the wheel and rail. The interdependencies presented in this work complement the knowledge in the field of cooperation of the tram wheel with the rail, as well as shaping the wheel profile, which is particularly valuable due to the limited number of scientific studies on this subject so far.

Animated Web Application

This project will attempt to develop animated web applications using both HTML, CSS, JavaScript, Three.js, and React at the same time as approaches that make user experiences immersive and interactive using the capabilities of the technologies in question. Thus, HTML provides the structural backbone, while CSS adds the visuals and makes it more responsive. The JavaScript core programming language enables dynamic behavior and interactivity. The library Three.js was used in order to include 3D graphics to create stunning visualizations and animations that appeal to a user on a deeper level. React will be used to handle the state and the structure of an application, hence the effective rendering to and smooth experience for the user. The use of animations and 3D elements used in this project brings into view the further possibilities modern web technologies can produce in creating applications that break the limits set by conventional web-based design. Therefore, this final product is to exemplify the best practices of optimization in terms of performance, user engagement, and responsive design.