Adaptive Regulation Research Articles

Mentalizing as a Predictor of Well-Being and Emotion Regulation: Longitudinal Evidence from a Community Sample of Young Adults.

Background: In recent years, mentalizing - the capacity to understand one's own and others' intentional mental states in social contexts - has been considered to be a protective capacity that enables adaptive processing of stress-related emotional arousal, benefits general well-being and underpins adaptive emotion regulation. Objective: Several studies using cross-sectional research designs have demonstrated the potential health-promoting effect of mentalizing in non-clinical samples. However, longitudinal evidence is scarce. The present study aimed to investigate whether mentalizing predicts well-being and emotion regulation strategies in a non-clinical sample of mainly young adults using a prospective longitudinal design. Methods: In a prospective research design, 135 participants completed questionnaires assessing well-being, psychological symptom severity and mentalizing capacity at baseline (T1). Twelve months later (T2), emotion regulation strategies (suppression and cognitive reappraisal), well-being and psychological symptom severity were assessed by self-report. The data were analyzed using multivariate linear regression analysis. Results: Impairments in mentalizing were a significant negative predictor of well-being 12months later. Furthermore, impairments in mentalizing positively predicted suppression of emotional states at T2. No association was found between deficits in mentalizing and cognitive reappraisal of emotional states over the course of 1year. Conclusion: The findings indicate that mentalizing is longitudinally associated with mental health indicators in a non-clinical adult sample. Specifically, ineffective mentalizing was associated with impaired psychological well-being and a tendency to suppress intense emotional states over a period of 1year. Future research should replicate these findings using multiple measurement timepoints to etablish causality.

Museum Governance: Lessons From the Past as a First Step Towards Innovation

Over the past thirty years, private sector governance has seen significant development in regulatory guidelines, best practices, and adaptation to emerging challenges. In contrast, the history of Canadian museum governance is relatively new. Not-for-profit Canadian museums began to establish governance frameworks only recently with influential publications like the UNESCO Recommendation on Museums and Collections (2015) and the SMQ Guide (2014), along with the implementation of Bill 114 in 2016. Bill 114 introduced constraints and responsibilities akin to those in the private sector, shifting governance from a more informal approach to a structured system. Notable examples of pre-Bill 114 governance include Rolland Arpin's initiatives at the Museum of Civilization and guidelines by the Canadian Art Museum Directors Organization. This study aims to explore the lessons that museum governance can learn from private sector practices, comparing regulatory frameworks and drawing insights from corporate governance literature to enhance the sustainability and effectiveness of not-for-profit museums and heritage preservation efforts.

CFD simulation of novel adaptive pin-fins microchannel heat sink to improve thermal management of electronic chips

Frequent hotspots pose a significant challenge for chip thermal management. Conventional microchannel with fixed structure cannot deal with random hotspots, which appear in irregular time and space. To address random hotspots and reduce microchannel energy consumption, a novel adaptive pin-fins microchannel (A-MCHS) is proposed in this paper to intelligently tackle with the hotspot region, which consists of a number of pin-fins with property of phase transition and volume shrinkage when the temperature is raised to 313.15 K. A CFD method is applied to study its thermal performance and user defined function (UDF) is used to realize the adaptive thermal response of pin-fins. It’s found that the adaptive pin-fins of the hotspot undergo volume reduction and enlarged local coolant flow under higher hotspot heat flux, illustrating the automatic and adaptive flow regulation effect. Compared with the fixed pin–fin microchannel, the local heat transfer performance of A-MCHS in the hotspot region is enhanced by 37.9 %, average Nu of the microchannel is advanced by 7.4 %, and the maximum chip surface temperature is reduced by up to 3.12 K. Moreover, it also shows a significant reduction of 10.7 % in pressure drop, suggesting a great energy saving in pumping cooling fluid. It’s indicated that the adaptive pin-fins microchannel provides efficient cooling and intelligently enhanced thermal management and energy saving for high heat flux electronic chips.

Adaptive compound control of laser beam jitter in deep-space optical communication systems.

In deep-space optical communication systems, precise pointing and aiming of the laser beam is essential to ensure the stability of the laser link. In this paper, an adaptive compound control system based on adaptive feedforward and Proportional-Integral-Differentiation (PID) feedback is proposed. The feedforward controller is stabilized using Youla-Kucera (YK) parameterization. In the YK parameterized structure, the free parameter Q(z) consists of an adaptive filter. The proposed method constitutes an adaptive feedforward control algorithm through the adaptive filter Q(z). The problem of suppressing laser jitter is transformed into a problem of minimizing a sensitivity function containing the adaptive filter. The stability of the compound control system is ensured by configuring the individual parameters of the YK parameterized feedforward controller and the PID controller, and the adaptive regulation of the controller is realized on the premise of system stability. To verify the effectiveness of the compound control system, we established an experimental platform for laser beam stabilization control. We experimentally compare the effectiveness of the proposed control method with the classical method. The experimental results show that the method proposed in this paper can effectively suppress the complex laser beam jitter consisting of narrow-band sinusoidal and broad-band continuous vibrations.

Study on adaptive regulation based on water supply-demand system structure and water use desirability under extreme drought

The frequent occurrence of drought events has changed the structure of the water supply-demand system, seriously hindering the sustainable development of society. This study aims to address the challenges of unclear impact of the system structure changes on water use desirability (WUD), as well as the regional water resources adaptive regulation. First, the structure of the water supply-demand system was analyzed based on the system theory. Then water supply priority (WSP) and water use compression (WUC) were considered to set combined regulation scenarios, which respectively characterize the structure of the water supply and demand systems. The MIKE BASIN/NAM water resources regulation coupling model was constructed to simulate the water use process under different scenarios. The desirability function approach was introduced to quantify the impact of system structure changes on WUD, and ultimately the adaptive regulation strategies were proposed with the goal of the highest WUD. Taking Chuxiong Prefecture in Yunnan, China as the study area, the validity of the model was verified, and the main results show that (1) t he optimal WSP in Chuxiong Prefecture was: urban domestic > rural domestic > industry > agriculture; (2) agriculture was identified as the most appropriate water user for compressing; (3) it was recommended that the adaptive regulation measure was to adjust the WSP in Dayao, Mouding and Wuding; and change the WUC in Yongren and Yao'an. In Nanhua, Chuxiong, Shuangbai and Lufeng, the adaptive regulation measure was to joint adjustment of WSP and WUC. These results clarify the impact of the system structure changes on WUD in Chuxiong Prefecture, identifying the optimal WSP and optimal WUC user under extreme drought, and propose water resources adaptive regulation suggestions for each county. In addition, the water resources adaptive regulation technology proposed in this study can provide scientific basis for water resources allocation under future climate change.

Social Anxiety in Students with Specific Learning Disorders Based on Emotion Regulation and Emotional Intelligence: The Mediating Role of Perceived Self-Efficacy

Background: One of the basic challenges faced by children with specific learning disorders (SLD) is social-emotional problems. Objectives: Considering the importance of social anxiety in interacting with others and its negative consequences in the family, society, and academic life of students with specific learning disabilities, the present study aims to develop a causal model of social anxiety in these students based on emotion regulation and emotional intelligence, taking into account the mediating role of perceived self-efficacy. Methods: The research employed a descriptive approach and utilized path analysis. The statistical population of this research comprised all the students with SLD who were referred to the student counseling centers and LD centers affiliated with the education organization of Sanandaj city in the academic year 2022 - 2023. The research sample consisted of 360 students aged between 8 and 12 years old with SLD, selected from the statistical population through purposeful sampling. In this research, the self-report version of Leibovitz's Social Anxiety Scale for children and adolescents by Masia-Warner et al., Shields and Cicchetti's emotion regulation inventory, Trait Emotional Intelligence Questionnaire by Mavroveli et al., and Muris' Children's Self-Efficacy Questionnaire were utilized. The fit indices of the model were also confirmed. Results: The variables of emotion regulation, perceived self-efficacy, and emotional intelligence directly affected the social anxiety of students with SLD. Additionally, the social anxiety of students with SLD was significantly related to the mediation of perceived self-efficacy with emotion regulation and emotional intelligence (P < 0.01). Conclusions: Therefore, to reduce the social anxiety of students with SLD, it is recommended that educators and experts develop educational programs to increase adaptive emotion regulation strategies, enhance perceived self-efficacy, and strengthen emotional intelligence.

P‐126: Research on adaptive voltage regulation algorithm on TFT‐LCD

In the current global promotion of environmental protection and low‐carbon, in order to further reduce the power consumption of TFT‐LCD, this paper proposes an algorithm based on image detection for adaptive adjustment of panel voltage, and tests the algorithm on the monitor. The test results shows that the algorithm can achieve power reduction while maintaining image quality.

Recurrent Duplication and Diversification of a Vital DNA Repair Gene Family Across Drosophila.

Maintaining genome integrity is vital for organismal survival and reproduction. Essential, broadly conserved DNA repair pathways actively preserve genome integrity. However, many DNA repair proteins evolve adaptively. Ecological forces like UV exposure are classically cited drivers of DNA repair evolution. Intrinsic forces like repetitive DNA, which also imperil genome integrity, have received less attention. We recently reported that a Drosophila melanogaster-specific DNA satellite array triggered species-specific, adaptive evolution of a DNA repair protein called Spartan/MH. The Spartan family of proteases cleave hazardous, covalent crosslinks that form between DNA and proteins ("DNA-protein crosslink repair"). Appreciating that DNA satellites are both ubiquitous and universally fast-evolving, we hypothesized that satellite DNA turnover spurs adaptive evolution of DNA-protein crosslink repair beyond a single gene and beyond the D. melanogaster lineage. This hypothesis predicts pervasive Spartan gene family diversification across Drosophila species. To study the evolutionary history of the Drosophila Spartan gene family, we conducted population genetic, molecular evolution, phylogenomic, and tissue-specific expression analyses. We uncovered widespread signals of positive selection across multiple Spartan family genes and across multiple evolutionary timescales. We also detected recurrent Spartan family gene duplication, divergence, and gene loss. Finally, we found that ovary-enriched parent genes consistently birthed functionally diverged, testis-enriched daughter genes. To account for Spartan family diversification, we introduce a novel mechanistic model of antagonistic coevolution that links DNA satellite evolution and adaptive regulation of Spartan protease activity. This framework promises to accelerate our understanding of how DNA repeats drive recurrent evolutionary innovation to preserve genome integrity.

예비유아교사의 공감능력이 적응적 정서조절전략에 미치는 영향

Objectives This study aimed to analyze the relationship between pre-service early childhood teachers' empathic ability, interpersonal relationship skills, and adaptive emotional regulation strategies. Additionally, it sought to in-vestigate the impact of pre-service early childhood teachers' empathic ability and interpersonal relationship skills on adaptive emotional regulation strategies. Furthermore, the purpose was to illuminate the mediating effect of interpersonal relationship skills in the relationship between empathic ability and adaptive emotional regulation strategies. Methods A total of 175 pre-service early childhood teachers enrolled in the Early Childhood Education Department of a 2-year college located in Seoul were surveyed regarding their empathic ability, interpersonal relationship skills, and adaptive emotional regulation strategies. The data collected were analyzed using SPSS 18.0 software to compute Pearson's r and conduct regression analysis. Results First, it was found that there were significant correlations among pre-service early childhood teachers' empathic ability, interpersonal relationship skills, and adaptive emotional regulation strategies. Second, empathic ability and interpersonal relationship skills emerged as predictors of adaptive emotional regulation strategies. Third, in terms of the impact of empathic ability on adaptive emotional regulation strategies, interpersonal rela-tionship skills were found to have a partial mediating effect. Conclusions The enhancement of empathic ability and interpersonal relationship skills suggests the potential to increase the utilization of adaptive emotional regulation strategies among pre-service early childhood teachers. This implies providing insights for the development of programs aimed at enhancing pre-service early childhood teachers' empathic ability and interpersonal relationship skills, ultimately enabling them to utilize adaptive emo-tional regulation strategies.

PROSPECTS FOR REGULATION OF ACCOUNTING AND TAXATION OF VIRTUAL ASSETS IN UKRAINE

Introduction. The advent of virtual assets has brought both challenges and opportunities, reshaping global financial systems and necessitating updated regulatory, accounting, and taxation frameworks. Ukraine stands at a critical juncture, integrating these digital innovations into its legal and financial infrastructure while aligning with global standards. Purpose. This article aims to provide a thorough examination of Ukraine’s developing frameworks for the regulation, accounting, and taxation of virtual assets. It assesses the effectiveness of current strategies and identifies areas for enhancement to ensure a robust integration of virtual assets into Ukraine's financial system. Methods. The research employs a comparative analysis method, juxtaposing Ukraine's frameworks with global standards. This approach is supported by a review of recent academic literature and regulatory reports, offering a comprehensive perspective on the adaptation processes and methodologies applied in the integration of virtual assets. Results. The findings reveal that while Ukraine has made significant progress, particularly with the adoption of the "Law on Virtual Assets," gaps remain in fully securing a stable and transparent virtual asset market. The study highlights the need for continual regulatory updates and the adoption of international accounting standards to manage the complexity and volatility of virtual assets. Conclusion. Ukraine’s proactive regulatory adaptations position it to potentially lead in the integration of virtual assets globally. Continued alignment with international standards and responsive updates to regulatory frameworks are essential to harness the economic benefits and mitigate associated risks. This ongoing evolution will support Ukraine's strategic positioning in the global digital economy and foster a stable environment for innovation and investment in virtual assets.

Integrative ATAC-seq and RNA-seq Analysis of the Longissimus Dorsi Muscle of Gannan Yak and Jeryak.

Jeryak is the F1 generation of the cross between Gannan yak and Jersey cattle, which has the advantages of fast growth and high adaptability. The growth and development of skeletal muscle is closely linked to meat production and the quality of meat. However, the molecular regulatory mechanisms of muscle growth differences between Gannan yak and Jeryak analyzed from the perspective of chromatin opening have not been reported. In this study, ATAC-seq was used to analyze the difference of chromatin openness in longissimus muscle of Gannan yak and Jeryak. It was found that chromatin accessibility was more enriched in Jeryak compared to Gannan yak, especially in the range of the transcription start site (TSS) ± 2 kb. GO and KEGG enrichment analysis indicate that differential peak-associated genes are involved in the negative regulation of muscle adaptation and the Hippo signaling pathway. Integration analysis of ATAC-seq and RNA-seq revealed overlapping genes were significantly enriched during skeletal muscle cell differentiation and muscle organ morphogenesis. At the same time, we screened FOXO1, ZBED6, CRY2 and CFL2 for possible involvement in skeletal muscle development, constructed a genes and transcription factors network map, and found that some transcription factors (TFs), including YY1, KLF4, KLF5 and Bach1, were involved in skeletal muscle development. Overall, we have gained a comprehensive understanding of the key factors that impact skeletal muscle development in various breeds of cattle, providing new insights for future analysis of the molecular regulatory mechanisms involved in muscle growth and development.

An Application of the Stressor-Vulnerability Model of Drinking in College Student Drinkers

Background: The stressor vulnerability model provides theoretical support for conditions under which drinking to cope (DTC) is likely to occur (i.e., decreased adaptive coping, increased positive alcohol expectancies). However, research has only tested this model in a college sample reporting trauma. Generalizability to a non-trauma-specific sample college drinkers would support applications of the model and inferences about coping-related drinking across a broader group of young adults. Objectives: Our sample included 565 college student drinkers (M age = 20.3 years; SD age = 2.0 years; 77.0% female; 54.2% White) from a large southeastern university. Mediation analyses examined DTC as a mediator between negative affect and alcohol-related outcomes (i.e., drinking quantity, drinking frequency, binge drinking frequency, and alcohol-related consequences). Moderated mediation models tested the influence of tension reduction expectancies and cognitive reappraisal on mediation pathways. Results: Drinking to cope was found to be a full mediator for associations between negative affect and drinking-related outcomes. For associations between negative affect and alcohol-related consequences, DTC was a partial mediator. For all alcohol outcomes, results indicated the mediation between negative affect and outcomes through DTC is strongest for individuals with greater cognitive reappraisal use. Positive alcohol expectancies did not moderate any indirect effects. Conclusions: Although cognitive reappraisal is typically considered an adaptive emotion regulation technique, our results suggest that this may not always be the case with drinking outcomes. Given our findings, further research is needed to discern the conditions wherein cognitive reappraisal may and may not be adaptive. This could be useful in informing interventions to reduce harmful DTC behaviors.

Changes in artisanal fishing as a driver of the shifting baseline syndrome: from the perspective of local ecological knowledge

This study aims to analyze changes in artisanal fishing perceived by fishers based on their local ecological knowledge, highlighting changes in species availability over time on the coast of Paraíba, in Northeast Brazil. Through data collection from fishers, it was observed that 78.88 % of them noticed changes in fishing activity over time, with a greater perception of changes among groups of more experienced fishers, reaching 93.42 %. The regression analysis applied to the study revealed that the increase in fishing experience is related to the perception of changes that have occurred, suggesting an increase of 5.5 % in the perception of changes for each additional year of experience. The main factors cited for these changes include over-exploitation and environmental degradation. The following most affected species stand out: Mutton snapper (Lutjanus analis), Serra Spanish mackerel (Scomberomorus spp), Quenn triggerfish (Balistes spp) and groupers (Mycteroperca spp), indicating a significant reduction in their catches over the years. Therefore, this study highlights the importance of integrating local ecological knowledge into public policies, not only aiming at the management and conservation of fish fauna, but also at maintaining communities which depend on fishing for their subsistence. This would include more adaptive fishing regulations and fish stock recovery initiatives which are culturally acceptable and ecologically sustainable.

Real-Time Load Forecasting and Adaptive Control in Smart Grids Using a Hybrid Neuro-Fuzzy Approach

The transition to smart grids is revolutionizing the management and distribution of electrical energy. Nowadays, power systems must precisely estimate real-time loads and use adaptive regulation to operate in the era of sustainable energy. To address these issues, this paper presents a new approach—a hybrid neuro-fuzzy system—that combines neural networks with fuzzy logic. We use neural networks’ adaptability to describe complex load patterns and fuzzy logic’s interpretability to fine-tune control techniques in our approach. Our improved load forecasting system can now respond to changes in real-time due to the combination of these two powerful methodologies. Developing, training, and implementing the forecasting and control system are detailed in this article, which also explores the theoretical underpinnings of our hybrid neuro-fuzzy approach. We demonstrate how the technology improves grid stability and the accuracy of load forecasts by using adaptive control methods. Furthermore, comprehensive simulations confirm the proposed technology, showcasing its smooth integration with smart grid infrastructure. Better energy management is just the beginning of what our method can accomplish; it also paves the way for a more sustainable energy future that is easier on the planet and its inhabitants. In conclusion, this study’s innovative approach to adaptive control and real-time load forecasting advances smart grid technology, which, in turn, improves sustainability and energy efficiency.

Moderating effect of negative emotion differentiation in chronic stress and fatigue among Chinese employees

IntroductionAccording to the reactivity hypothesis and the diathesis-stress model, repeated activation of the stress system has a negative effect on health, and this effect may differ because of individual characteristics. Thus, the present study explores the effect of chronic stress on fatigue and investigates its mechanism.MethodsA questionnaire survey of 288 participants selected from the northwest part of China was conducted (13.89% females; ages ranged from 18 to 34 years, with M ± SD = 23.14 ± 3.79 years) on chronic stress, fatigue, depression, anxiety, and negative emotion differentiation. SPSS 28.0 was used to process descriptive statistics and correlation analysis and the PROCESS macro was used to analyze the moderated chained multi-mediation.ResultsChronic stress was found to be positively correlated with fatigue, depression, and anxiety; depression and anxiety played a chained multi-mediating role between chronic stress and fatigue, and negative emotion differentiation played a moderating role in the chained multi-mediation model.DiscussionCompared with depression, anxiety plays a more important role in the influence of chronic stress on fatigue. Therefore, it is necessary to pay more attention to anxiety symptoms and take appropriate intervention measures. Negative emotion differentiation plays a moderating role. Improving negative emotion differentiation through mindfulness and adaptive emotion regulation is an effective way to reduce the influence of chronic stress on fatigue.

Looking at the Mental Health of Children and Adolescents with Cleft Lip and/or Palate through Neuroticism and Emotional Regulation Strategies: A Case-Controlled Observational Study.

Background: Children and adolescents with cleft lip and/or palate (CL/P) are at an increased risk of developing emotional disorders. This study aims to explore this question in greater depth by addressing three objectives: (1) the presence of neuroticism as an indicator of emotional symptomatology, (2) the use of adaptive and non-adaptive emotional regulation strategies, and (3) the relationship between these strategies and neuroticism. Methods: A case-control correlational methodology was employed, with 60 children and adolescents with CL/P (mean age = 12.80 years; 33 females) and 60 non-clinical equivalent children and adolescents. Results: The CL/P group has higher scores on neuroticism (t = -7.74; p ≤ 0.001, d Cohen = 1.43) and lower scores in almost all emotional regulation strategies. The presence of CL/P moderated the relationship between neuroticism and self-blame (Beta = -0.46, t = -2.81, p = 0.005), rumination (Beta = -0.49, t = -3.73, p < 0.001), catastrophizing (Beta = -0.61, t = -4.26, p < 0.001), and blaming others (Beta = -0.45, t = -2.84, p = 0.005). This model predicted a significant variance of neuroticism (all p < 0.005), which ranged from 39% to 41%. Conclusions: The CL/P group has worse mental health indicators. Particularly novel results about the CL/P group are the lower scores on regulation strategies (both adaptive and non-adaptive) and the fact that non-adaptive strategies contribute, contrary to their effect in the general population, to a decrease in neuroticism. It supports the need to incorporate mental health indicators in the diagnosis and treatment of children and adolescents with CL/P.

Height estimation of sugarcane tip cutting position based on multimodal alignment and depth image fusion

Sugarcane tip cutting is essential to reducing the rate of impurities in the harvest. To achieve adaptive regulation of the tip-cutting position by a sugarcane harvester, we propose a method for estimating the height of the tip-cutting position of sugarcane. The RGB and Binocular depth cameras are aligned to process the sugarcane tip region image. This involves threshold segmentation, morphological operations, and contour detection to identify the tip-cutting position and upper boundary contours. The depth image is segmented using contour pixel information and merged to form a colour depth image of the sugarcane's tip. This image is then transformed using depth data and triangular parallax principles to determine the height of the sugarcane tip-cutting position. The proposed method was evaluated in various sugarcane plantation environments. Comparative analysis between the proposed method and manual measurements of actual cutting position heights revealed that the RMSE ranged from 1.22 cm to 1.78 cm, and R2 varied between 0.79 and 0.86. These results demonstrate the effectiveness of the proposed method in accurately extracting the height information of sugarcane tip-cutting positions, which has a specific application value for the adaptive adjustment of the tip-cutting device of the sugarcane harvester.

Research on Multi-Mode Control of Electro-Hydraulic Variable Displacement Pump Driven by Servo Motor

The electro-hydraulic power source with an electro-hydraulic variable pump driven by a servo motor is suitable for electrified construction machinery. To achieve better energy efficiency in different working conditions, the multi-mode control scheme was proposed for the electro-hydraulic power source. The control scheme includes pressure control, flow control, and torque control modes. The switching rule among the three control modes was formulated based on the minimum pump pressure. The fuzzy PID controller was designed, and a composite flow regulation strategy was formulated, including the load-sensitive adaptive displacement regulation and servo motor variable speed regulation. The AMESim-Simulink co-simulation model of multi-mode control was established. The test platform was built, and the experimental study was carried out. The results indicate that the fuzzy PID control has a shorter response time and a more stable control effect compared with PID control. Additionally, the composite flow regulation strategy improves the flow regulation range by 36% and reduces the flow overshoot by 20% compared with the load-sensitive adaptive displacement regulation. As the main control valve received an opening step signal, the full flow regulation (7~81 L/min) of the power source took approximately 0.5 s to rise and 0.2 s to fall. The relative error of pressure difference for the main control valve was 0.63%. When receiving the pressure and torque step signal, the pump pressure and pump input torque both took approximately 0.45 s to rise and 0.2 s to fall. The relative errors of pump pressure and torque control were 0.2% and 0.16%, respectively. In the multi-mode control, the electro-hydraulic power source could switch smoothly between flow control mode, pressure control mode, and torque control mode. These results provide a reference for the multi-mode control of an electro-hydraulic power source with an electro-hydraulic variable pump driven by a servo motor.

The Effect of the PhoP/PhoQ System on the Regulation of Multi-Stress Adaptation Induced by Acid Stress in Salmonella Typhimurium.

Acidic stress in beef cattle slaughtering abattoirs can induce the acid adaptation response of in-plant contaminated Salmonella. This may further lead to multiple resistance responses threatening public health. Therefore, the acid, heat, osmotic and antibiotic resistances of Salmonella typhimurium (ATCC14028) were evaluated after a 90 min adaption in a pH = 5.4 "mild acid" Luria-Bertani medium. Differences in such resistances were also determined between the ∆phoP mutant and wild-type Salmonella strains to confirm the contribution of the PhoP/PhoQ system. The transcriptomic differences between the acid-adapted and ∆phoP strain were compared to explore the role of the PhoP/Q two-component system in regulating multi-stress resistance. Acid adaptation was found to increase the viability of Salmonella to lethal acid, heat and hyperosmotic treatments. In particular, acid adaptation significantly increased the resistance of Salmonella typhimurium to Polymyxin B, and such resistance can last for 21 days when the adapted strain was stored in meat extract medium at 4 °C. Transcriptomics analysis revealed 178 up-regulated and 274 down-regulated genes in the ∆phoP strain. The Salmonella infection, cationic antimicrobial peptide (CAMP) resistance, quorum sensing and two-component system pathways were down-regulated, while the bacterial tricarboxylic acid cycle pathways were up-regulated. Transcriptomics and RT-qPCR analyses revealed that the deletion of the phoP gene resulted in the down-regulation of the expression of genes related to lipid A modification and efflux pumps. These changes in the gene expression result in the change in net negative charge and the mobility of the cell membrane, resulting in enhanced CAMP resistance. The confirmation of multiple stress resistance under acid adaptation and the transcriptomic study in the current study may provide valuable information for the control of multiple stress resistance and meat safety.

The Adaptiveness of Emotion Regulation Variability and Interoceptive Attention in Daily Life.

In daily life, we must dynamically and flexibly deploy strategies to regulate our emotions, which depends on awareness of emotions and internal bodily signals. Variability in emotion-regulation strategy use may predict fewer negative emotions, especially when people pay more attention to their bodily states-or have greater "interoceptive attention" (IA). Using experience sampling, this study aimed to test whether IA predicts variability in strategy use and whether this variability and IA together predict negative affect. University student participants ( n = 203; 165 females; Mage = 20.68, SD age = 1.84) completed trait questionnaires and reported state levels of IA, emotional awareness, negative affect, and emotion-regulation strategies, seven times daily for 1 week. State IA significantly predicted between-strategy variability, which was mediated by emotional awareness (indirect effect = 0.002, 95% confidence interval = <0.001-0.003). Between-strategy variability was associated with lower negative affect, particularly when individuals had higher state IA (simple slope = -0.83, t = -5.87, p < .001) versus lower IA (simple slope = -0.31, t = -2.62, p = .009). IA appears to facilitate adaptative emotion regulation and help alleviate negative affect. Findings underscore the key roles of IA and emotion-regulation flexibility in mental health.