State Response Research Articles

Interval riccati equation-based and non-probabilistic dynamic reliability-constrained multi-objective optimal vibration control with multi-source uncertainties

Structural vibration control is used to ensure the safety of structures in service and has become an active research area in the past few years. In this study, uncertainties in structural dynamics are considered to propose an interval linear quadratic regulator (LQR) method based on an interval Riccati equation. Multi-objective optimization with non-probabilistic dynamic reliability as a constraint is performed to design an optimal uncertain vibration control system. To alleviate the difficulty of quantifying the probabilistic uncertainty and accurately characterize uncertainty information for small samples, multi-source uncertainties are regarded as interval parameters. The bounds on these uncertainties are determined, and the deterministic and uncertain parts of an interval state-space equation for vibration control are then formulated using an expanded-order matrix and the interval analysis method. Next, the interval perturbation method with a matrix series is used to develop a novel solution method for the linear inhomogeneous time-invariant equation in the interval state-space equation for the vibration control system and is used to accurately predict the interval bounds of the state responses. The conventional LQR method from modern control theory is used to propose a novel optimal control method based on a novel interval Riccati equation using the Lyapunov equation and interval uncertainty propagation. The proposed interval control method can be used to estimate the uncertain bounds of the controlled gain and cost function. A non-probabilistic dynamic reliability model is established to evaluate the reliability index of the system, which can overcome the limitations of the large computational cost of determining the probabilistic reliability. The deterministic controlled cost and uncertain states are considered as two optimization objectives with the proposed reliability constraint. The resulting constrained multi-objective optimal vibration control problem is designed and solved using c-DPEA. A flowchart is presented as a clear overview of the uncertain vibration control method, and the effectiveness of the proposed method is validated using two numerical examples. Different optimal control designs are obtained using different reliability constraints for quantitatively analyzing the safety of the control system.

An analysis of Australian teacher workforce policy: Challenges and opportunities for teacher recruitment and retention

The COVID-19 pandemic has worsened the shortage of teachers worldwide. Shortages have been reported globally including in countries such as the UK, Netherlands, France, Japan, New Zealand and the United States. In Australia, persistent challenges in teacher recruitment, and retention, especially in disadvantaged schools have worsened, with rural and remote schools struggling to attract teachers, as well as urban schools in disadvantaged areas necessitating fast-tracked policy measures have been necessitated to address the teacher shortage. This paper focuses on teacher workforce policy given its prominence in the conceptualising and responding to teacher workforce shortages. The paper seeks to explore state-level teacher workforce texts with a focus on the ways workforce issues are constructed at a time of chronic teacher shortages. Utilising thematic analysis of six stated development policy texts, the paper argues state responses continue to emphasise teacher workforce planning based on a labour market perspective that prioritises teacher recruitment as the primary mechanism for addressing the teacher shortages. A delay in addressing the conditions of teachers’ work and the status of the profession as well as a notable inattention to priority areas such as hard-to-staff schools is also noted.

The Legal Profession in Battle: Cause Lawyers Versus State-Embedded Lawyers in Hong Kong's Democratization

The existing literature has long recognized that cause lawyers play important roles in fighting for political justice. However, the implications of how the state responds to these lawyers have yet to be comprehensively explored. This article argues that the state in Hong Kong has co-opted “state-embedded lawyers” against cause lawyers for the counter-mobilizing of public opinion. Thus, both cause lawyers and state-embedded lawyers engage in political battles with polarized objectives, either for democratic reform or regime stability. Theoretically, this paper contributes to analyzing the state's response to cause lawyering and its counter-mobilization actions by developing state-embedded lawyers. Empirically, the case of Hong Kong helps enrich the existing literature by exploring the confrontational relations within polarized legal professions. The conclusion shows that such tensions can stimulate further polarization with different business paths between lawyers, consumption patterns among citizens and understanding of the rule of law and responses from mainland China.

Cortical region-specific recovery of auditory temporal processing following noise-induced hearing loss

Noise-induced hearing loss (NIHL) studies have focused on the lemniscal auditory pathway, but little is known about how NIHL impacts different cortical regions. Here we compared response recovery trajectories in the auditory and frontal cortices (AC, FC) of mice following NIHL. We recorded EEG responses from awake mice (male n = 15, female n = 14) before and following NIHL (longitudinal design) to quantify event related potentials and gap-in-noise temporal processing. Hearing loss was verified by measuring the auditory brainstem response (ABR) before and at 1-, 10-, 23–, and 45-days after noise-exposure. Resting EEG, event related potentials (ERP) and auditory steady state responses (ASSR) were recorded at the same time-points after NIHL. The inter-trial phase coherence (ITPC) of the ASSR was measured to quantify the ability of AC and FC to synchronize responses to short gaps embedded in noise. Despite the absence of click-evoked ABRs up to 90 dB SPL and up to 45-days post-exposure, ERPs from the AC and FC showed full recovery in ∼ 50 % of the mice to pre-NIHL levels in both AC and FC. The ASSR ITPC was reduced following NIHL in AC and FC in all the mice on day 1 after NIHL. The AC showed full recovery of ITPC over 45-days. Despite ERP amplitude recovery, the FC does not show recovery of ASSR ITPC. These results indicate post-NIHL plasticity with similar response amplitude recovery across AC and FC, but cortical region-specific trajectories in temporal processing recovery.

Demonstrating a decision support process for landscape conservation design

AbstractDespite the recent increase in landscape conservation and the design processes agencies are undertaking, there remains an implementation gap due to an inability to evaluate general strategies and account for uncertainties faced by managers. We demonstrated how a decision support process (DSP), recently developed to inform landscape conservation design, can address uncertainties and complexities inherent in landscape conservation to facilitate long‐term, large‐scale conservation planning. We applied the DSP to landscape conservation efforts within conservation opportunity areas (COA) of states in the Gulf Coastal Plains and Ozarks region. We engaged state planners within the region to identify important landscape conservation uncertainties they face in planning. We developed, simulated, and modeled the impacts of conservation addressing 3 uncertainties identified by state wildlife managers and evaluated the impacts by examining the responses of state and local populations of 2 bird species of conservation concern, prairie warbler (Setophaga discolor) and wood thrush (Hylocichla mustelina). The responses of prairie warbler populations to conservation strategies indicated that both approaches of protecting quality habitat from land‐use change and restoring and enhancing lower quality and nonhabitat improved their viability at regional, statewide, and COA scales. However, we noted that the relative effectiveness of strategies varied among states in ways that suggest a state's process for delineating COAs and what threats they face could influence which conservation approach to consider. Our findings highlight the need for regional coordination and the use of decision‐support processes to guide effective conservation at landscape scales.

Single‐Luminophore Molecular Engineering for Rapidly Phototunable Solid‐State Luminescence

Smart materials enabling emission intensity or wavelength tuning by light stimulus attract attention in numerous cutting‐edge fields. However, due to the generally dense molecular stacking against photoresponsivity in solid states, especially in crystals, developing rapidly phototunable solid‐state luminescent systems remains challenging. Herein, we propose a new luminophore that serves as both a photoresponsive unit and a luminescent group, while possessing enhanced conformational freedom to provide a solution. Namely, photoexcitation‐induced molecular conformational change of an ionized persulfurated arene based on weak intermolecular aliphatic C–H···π interaction was employed. On these basis, rapidly enhanced phosphorescence upon irradiation can be observed in a series of phase states, like solution state, crystal, and amorphous state, especially with a high photoresponsive rate of 0.033 s‐1 in crystal state that is superior to the relevant reported cases. Moreover, a rapidly phototunable afterglow effect is achieved by extending this molecule into some polymer‐based doping systems, endowing the system with unique dynamic imaging and fast photopatterning capabilities. Such a single‐luminophore molecular engineering and the underlying mechanism have implications for building different condensed functional materials, principally for those with stimuli responses in solid states.

Robust fuzzy controller design with FPGA implementation for matrix converter based induction motor drive

This paper aims to design a controller for a matrix converter fed induction motor drive providing less torque ripples and eliminating peak overshoots with good transient and steady state responses utilizing fuzzy and direct torque control. The proposed controller utilizes Direct Torque Control (DTC) strategy with space vector modulation for regulating stator flux and electromagnetic torque. Due to the superior control capabilities of the matrix converter such as bidirectional power flow, sinusoidal input/output waveforms, high power density and lesser volume, it has attracted significant research interest in the field of adjustable speed drive. Hence the proposed matrix converter based controller is developed in MATLAB/Simulink and tested in different input/output conditions. To validate simulation results, a laboratory prototype is built around the Altium Nano Board 3000 equipped with a Xilinx Spartan using Field Programmable Gate Array (FPGA) is employed. The proposed control scheme, validated through simulation and hardware testing, ensures stable, robust drive system with significant reductions in input side harmonics and enhances induction motor drive's performance.

State Responses of Several Classes of Linear Systems Based on Fundamental Matrices.

State responses for several classes of linear systems are investigated in this article. The involved systems include state-delayed linear systems, and high-order linear systems. At first, the single-fundamental-matrix-based approach is extended to these systems, and their state responses are expressed by their fundamental matrices (FMs). In addition, the multiple-FMs-based approach is presented for these systems. Based on a group of FMs, the state responses for the considered time-invariant systems are derived. For the considered time-variant systems, their state responses are explicitly expressed by their transition matrices. As an application of the fundamental-matrix-based approach, a stabilizing control law is designed for a class of high-order fully actuated continuous-time linear systems with a single input-delay.

Principle of scientific support of rulemaking and construction of criminal law norms

The article highlights the issue of the principle of scientific support for the construction of criminal law provisions as one of the fundamental principles of rulemaking in the field of criminal law. This principle is based on the legislator’s obligation to adhere to the scientific approach and scientific methods at all stages of the rulemaking process, and this implies that such criminal law rulemaking decisions should be made which correspond to the level of scientific development of the relevant issue in the theory of criminal law and guarantee the actual implementation of the principle of legality in rulemaking in this area. The author suggests that in order to fully realize the potential of the principle of scientific support for rulemaking in the field of criminal law, it is advisable to combine its use with the principle of practical compliance of criminal law provisions and the possibilities of their application. This principle should be taken into account both in the process of updating criminal legislation in general and in the development of individual criminal law provisions. The principle of scientific support for the construction of criminal law provisions may not be taken into account when adopting laws of Ukraine on criminal liability in an extraordinary period, as exemplified by the beginning of the full-scale invasion of Ukraine by the Russian Federation. The need for an immediate state response to such global threats by adjusting the current criminal legislation without observing the principle of scientificity is exceptional. As a rule, the adoption of new criminal laws without observing the principle of scientific evidence results in low quality criminal law provisions that are not able to ensure their effective application. The principle of scientific support should be implemented both during the scientific examination of draft criminal laws and during the scientific support of the entire rulemaking process.

Exploring transient states of PAmKate to enable improved cryogenic single-molecule imaging.

Super-resolved cryogenic correlative light and electron microscopy is a powerful approach which combines the single-molecule specificity and sensitivity of fluorescence imaging with the nanoscale resolution of cryogenic electron tomography. Key to this method is active control over the emissive state of fluorescent labels to ensure sufficient sparsity to localize individual emitters. Recent work has identified fluorescent proteins (FPs) which photoactivate or photoswitch efficiently at cryogenic temperatures, but long on-times due to reduced quantum yield of photobleaching remains a challenge for imaging structures with a high density of localizations. In this work, we explore the photophysical properties of the red photoactivatable FP PAmKate and identify a 2-color process leading to enhanced turn-off of active emitters, improving localization rate. Specifically, after excitation of ground state molecules, we find a transient state forms with a lifetime of ~2 ms under cryogenic conditions which can be bleached by exposure to a second wavelength. We measure the response of the transient state to different wavelengths, demonstrate how this mechanism can be used to improve imaging, and provide a blueprint for study of other FPs at cryogenic temperatures.

Generalization gap estimation for damage classification tasks when finite element simulated data is used for training: A numerical study and experimental validation on a steel truss

Labeled simulated structural responses by Finite Element (FE) methods may be used to construct training sets for monitoring the health state of structures. Such an approach appears to be an attractive way to avoid experimental costs. However, the main obstacle is the simulation error contained in such numerical responses. The error can contaminate the training data and lead to wrong conclusions when the learned features try to generalize on subsequent online experimental data. It is therefore very important to have an estimation of how good the available simulated data is for a given problem. The present work gives a novel methodology where classifiers trained by FE vibration response data are subjected to inputs of various perturbations, emulating in such way the generalization gap (classification errors) due to simulation errors. The response of the classifiers is gathered afterwards in a dataset which is used to construct a function that estimates the generalization gap based on the perturbed intact state response. Results are presented that show the behavior of the proposed gap estimation function for different binary damage classification scenarios. A numerical truss structure is used to test the concept. Convolutional Neural Networks (CNN) are applied for all data-driven related tasks, such as learning of health state features in vibration responses or evaluation of the gap function. The results show a promising methodology that can be used to estimate the reliability of numerically trained classifiers. In the final part of this study, the framework is tested on an experimental truss structure. The presented methodology contributes to the quantitative study of uncertainty when extrapolating from the numerical to the experimental domain in the presence of modeling errors.

Feeding Precarity Between State and Capital: Women Workers and Breastfeeding in Cakung Manufacturing Industry

Women constitute the vital workforce in Indonesia's economy, particularly in sectors like garment, textile, and footwear. Despite their economic importance, these industries are characterised by excessive control, pressure, and violence, transforming women into cheap labour and limiting their lives both in the production and social reproduction realm. This study analyses how the discipline of factory work has implications for women workers in their care work, specifically in breastfeeding. Through a qualitative approach, this study uses focus group discussions (FGD) and interviews with women garment and textile industry workers in Kawasan Berikat Nusantara, North Jakarta. The study also analyses the state's response and position in child-feeding matters. The study shows how the regimented nature of factory work, which controls the energy, time, and bodies of women workers, coupled with the absence of job security and protection from the state, limit workers’ capacity to care for their families, particularly to breastfeed their children. Consequently, women workers have to switch to formula milk. I argue that the workers’ reliance on formula milk illustrates a form of neoliberalism in which the state subjugates women workers to the capitalist economy both in the realms of production and social reproduction, forcing them to live in a precarious condition. This potentially will cause health, nutrition, and other quality of life problems for mothers and children in the future.

Modeling and application of urban waterlogging resilience assessment based on PSR–NES framework and analysis of driving mechanisms

ABSTRACT Extreme weather events are escalating globally, intensifying urban waterlogging disasters and endangering inhabitants and assets while hindering socio-economic progress. This study explores factors hindering cities' waterlogging disaster mitigation using urban resilience theory. It introduces a pressure–state–response (PSR)–natural–economic–social (NES) assessment model to evaluate urban waterlogging resilience, focusing on Nanjing as a key city in flood control. Flood scenarios are simulated using the MIKE model for different rainstorm recurrence periods. Urban flooding resilience is assessed with a hybrid approach. Geodetector analysis identifies primary resilience drivers. Results validate the PSR–NES composite resilience index, showing complex resilience patterns across the study area. High-resilience areas are mainly in the east and southeast, while low-resilience areas cluster along roads and low-lying communities. Key resilience indicators include waterlogging duration, inundation depth, warning capacity, economic density, and road accessibility. These factors interact with nonlinear enhancements and synergies. The study's insights can identify urban management or flood defense infrastructure deficiencies, guiding tailored flood defense strategies for stakeholders.

Mathematical Perspectives on Consumer Spending during a Financial Crisis

This paper explores the mathematical dynamics of consumer spending during a financial crisis using opponent process theory (OPT). Traditionally applied in psychology, OPT explains how initial emotional responses are followed by counteracting reactions to restore equilibrium. This study models the short-term boost in consumer spending and subsequent economic adjustments. Utilizing differential equations to represent these processes, this paper provides insights into the interplay between immediate policy effects and longer-term economic consequences. We focus on the United States (US) response to the 2008 Global Financial Crisis in this study. Results show evidence of diminishing response from prolonged stimuli due to demand saturation, resource allocation inefficiencies, and agent adaptation. Monetary stimuli may inflate debt/prices, outweighing benefits, and structural issues persist despite stimuli. Confidence and expectations impact response because perceived ineffectiveness weakens impact over time. Thus, while stimuli can initially boost activity, their sustained impact demands careful consideration of economic dynamics and agents’ responses.

Impaired 40-Hz and intact hierarchical organization mode of auditory steady-state responses among individuals with clinical high-risk for psychosis

BackgroundImpaired gamma band oscillation, specifically 40-Hz auditory steady state response (ASSR) has been robustly found in schizophrenia, while there is relatively little evidence characterizing the ASSR before full-blown psychosis. ObjectiveTo characterize gamma-band ASSR in populations at clinical high-risk for psychosis (CHR). MethodsOne hundred and seven CHR subjects and sixty-five healthy control (HC) subjects were included and completed clinical assessments, the ASSR paradigm of electroencephalography (EEG) and cognitive assessments. Both indices of event-related spectrum perturbation (ERSP) and intertrial coherence (ITC) in response to 20-Hz, 30-Hz and 40-Hz click sounds were respectively qualified and compared between these two groups, as well as the relationship to clinical psychopathology and cognitive function was assessed. ResultsAt 40-Hz click sounds, ERSP in HC group (1.042 ± 0.047) was statistical significantly increased than that in CHR group (0.873 ± 0.036) (p = 0.005)；at 30-Hz, ERSP in HC group (0.536 ± 0.024) was increased than that in CHR group (0.483 ± 0.019), but the difference was trend statistical significance (p = 0.083)；at 20-Hz, ERSP in HC group (0.452 ± 0.017) was not different significantly from CHR group (0.418 ± 0.013) (p = 0.104).ERSP of the HC group was the highest at 40-Hz click sounds, followed by 30-Hz, and the lowest at 20-Hz. The difference between any two of the three ERSP showed statistical significance (30-Hz vs. 40-Hz: p < 0.001; 20-Hz vs. 40-Hz: p < 0.001；20-Hz vs. 30-Hz: p = 0.003). Similarly, ERSP of the CHR group was the highest at 40-Hz click sounds, followed by 30-Hz, and the lowest at 20-Hz. The difference between any two of these three ERSP showed statistical significance (30-Hz vs. 40-Hz: p < 0.001; 20-Hz vs. 40-Hz: p < 0.001；20-Hz vs. 30-Hz: p = 0.002).A statistically significant small positive correlation of 40-Hz ERSP with signal processing speed score was observed in the HC group (ρ = 0.27, p = 0.029). A statistically significant small negative correlation of 40-Hz ERSP with visual learning score was observed in the CHR group (ρ = −0.22, p = 0.023). ConclusionImpaired 40-Hz but undamaged hierarchical organization mode of auditory steady state presented in the CHR populations. Abnormal 40 Hz ASSR for CHR might be associated with cognitive functions, such as information processing speed and visual memory.

Politics or need? Explaining state climate change policy adoption, 2007–2016

AbstractAs climate change grows in importance on state policy agendas around the country, state responses are brought into focus. States may choose to address climate change through legislative action, executive order, administrative action, or not at all. Our research seeks to determine the state factors that lead states to favor one path to action over another. To this end, we test three explanations: a political explanation that focuses on political factors present within a state; a contextual model, and a policy need explanation that focuses on a state's vulnerability to the deleterious effects of climate change. We control for a variety of economic, social, geographic, and demographic variables in all models. We find that legislative and executive decisions tend to be driven by political considerations, although modified by extreme need.

Phantom energy in the nonlinear response of a quantum many-body scar state.

Quantum many-body scars are notable as nonthermal, low-entanglement states that exist at high energies. In this study, we used attractively interacting dysprosium gases to create scar states that are stable enough to be driven into a strongly nonlinear regime while retaining their character. We measured how the kinetic and total energies evolve after quenching the confining potential. Although the bare interactions are attractive, the atoms behave as if they repel each other: Their kinetic energy paradoxically decreases as the gas is compressed. The missing "phantom" energy is quantified by benchmarking our experimental results against generalized hydrodynamics calculations. We present evidence that the missing kinetic energy is carried by undetected, very high momentum atoms.

Looking into the black mirror of the overdose crisis: Assessing the harms of collaborative surveillance technologies in the United States response.

Drug overdose is a leading cause of death among adults in the United States, prompting calls for more surveillance data and data sharing across public health and law enforcement to address the crisis. This paper integrates Black feminist science and technology studies (STS) into an anthropological analysis of the collision of public health, policing, and technology as embedded in the US National Overdose Response Strategy and its technological innovation, the Overdose Detection Mapping Application Program (ODMAP). The dystopian Netflix series "Black Mirror," which explores the seemingly useful but quietly destructive potential of technology, offers a lens through which to speculate upon and anticipate the harms of collaborative surveillance projects. Ultimately, I ask: are such technological interventions a benevolent approach to a public health crisis or are we looking into a black mirror of racialized surveillance and criminalization of overdose in the United States?

The Context Matters: Women's Experiences of Their Partner's Odor in Intimate and Sexual Encounters.

Research shows that male body odor plays an important role in women's mate choice and that olfactory abilities are associated with women's sexual functioning. What remains unclear is what types of partner's odor actually shape women's experience during intimate activities. This study therefore explored women's experience associated with the partner's various odors and investigated how they affect women's intimate and sexual encounters. We performed semi-structured individual interviews with 20 single women and 20 women in a long-term relationship. Thematic analysis revealed four key natural odor types of the partner: body odor, sweat, genital odor, and semen odor. Further, we have identified three main types of fragrance odor (cologne, shower gel, and laundry agents) and investigated their perception in both intimate (hugging, kissing, cuddling, lying side by side) and sexual (intercourse, oral sex, ejaculation) contexts. Both partner's natural odor and fragrance affected women's emotional state (ranging from pleasant to unpleasant) and behavioral response (ranging from approach to avoidance of partner). Women's odor perception was frequently context-dependent, so that even mostly negatively perceived odors (e.g., semen, genital odor) were often accepted as part of sexual encounter. Finally, women's perception was negatively modified by partner's specific sweat (after workday, workout, or when the partner is ill) during intimate encounters. Our results highlight the complexity and interindividual variability of partner's odor perception.

Assessment of Effectiveness and Suitability of Soil and Water Conservation Measures on Hillslopes of the Black Soil Region in Northeast China

There are four sizable black soil regions throughout the world, all of which are valuable natural resources. The black soil region in Northeast China is a major foundation for grain production. Serious risks of soil erosion do exist, and they have an immediate impact on both the country’s food security and future ecological security. Many soil and water conservation measures have been put in place to control soil erosion. However, how effective and suitable are these measures? Currently, systematic analyses and assessments are lacking. The objective of this study was to assess the effectiveness and suitability of soil and water conservation measures on hillslopes using the comprehensive index method and the Pressure–State–Response model. The categorization of effectiveness and suitability of these measures were similar for both methods: that is, very effective and suitable measures included no-tillage + straw mulch and ridge belt or contour ridge. The two methods validated one another. Thus, this categorization standard is useful for choosing the best soil and water conservation measures for different soil erosion regions.