Multiple Responses Research Articles

The diverse functions of DYRK2 in response to cellular stress.

To maintain microenvironmental and cellular homeostasis, cells respond to multiple stresses by activating characteristic cellular mechanisms consisting of receptors, signal transducers, and effectors. Dysfunction of these mechanisms can trigger multiple human diseases as well as cancers. Dual-specificity tyrosine-regulated kinases (DYRKs) are members of the CMGC group and are evolutionarily conserved from yeast to mammals. Previous studies revealed that DYRK2 has important roles in the regulation of the cell cycle and survival in cancer cells. On the other hand, recent studies show that DYRK2 also exhibits significant functions in multiple cellular stress responses and in maintaining cellular homeostasis. Hence, the further elucidation of mechanisms underlying DYRK2's diverse responses to various stresses helps to promote the advancement of innovative clinical therapies and pharmacological drugs. This review summarizes the molecular mechanisms of DYRK2, particularly focusing on cellular stress responses.

Electrothermally actuated network metamaterials with reconfigurable bending deformation modes

Reconfigurable metamaterials with specific deformation modes show great promise in applications such as multifunctional antenna, stretchable electronic device, and reconfigurable soft robot, due to their ability to achieve multiple operational states within a single system. Previous researches on active metamaterials with bending deformation responses revealed two main issues: (1) achieving reconfigurable deformation within the same metamaterial is challenging due to the reliance on uniform external field actuation; and (2) there is a lack of in-depth studies on the microstructure-property relationships for the bending deformation responses of network metamaterials due to the lack of theoretical analysis. To address these issues, this study presents a mechanical design strategy for an electrothermally actuated network metamaterials to realize reconfigurable bending deformation. A theoretical model describing the electrothermally actuated bending deformation responses is developed through a three-level analysis, which offers a comprehensive understanding of the parameter-property relationships and accurately describes the bending deformation behaviors. The validity of these mechanical models is confirmed through finite element analyses (FEAs) and experimental results. These mechanical models provide analytical solutions for crucial mechanical quantities, including the electrothermally actuated bending angles and effective strains for bending deformation responses. The bending behaviors of the reconfigurable metamaterials under electrothermal actuation can be adjusted by the key nondimensional geometric parameters and the actuation strategies. Additionally, experimental results and FE calculations demonstrate that multiple bending responses can be realized within a single metamaterial by different actuation strategies. This study offers comprehensive guideline from theoretical predictions, FE calculations, and experimental demonstrations for future researched of reconfigurable metamaterials to realize required deformation behaviors.

Optimal carbofuran degradation via CWPO in NOM-doped water by a framework Cu-doped aluminate perovskite catalyst derived from aluminum saline slags

This study is the first to propose the synthesis of LayAl1–xCuxO3–δ perovskite catalysts using Al recovered from acid leaching of saline slags. The effect of parameters such as the La/Al molar ratio was explored during the synthetic process. A suite of characterization techniques—including XRF, XRD, N2 adsorption, H2-TPR, FTIR, TGA-DTA, TEM, SEM, EDX, and XPS—confirmed the successful synthesis of high-purity (up to 90 %) perovskites with La and O vacancies, and a high concentration of Cu(I) active sites dispersed within the perovskite lattice. The best catalyst was used to optimize the degradation of carbofuran (CBF) in water doped with synthetic dissolved natural organic matter (NOM) using the Fenton-like catalytic wet peroxide oxidation (CWPO) approach. The effects of catalyst concentration, H2O2 dose, and pH on catalytic performance were investigated. Degradation, mineralization (COD removal), and H2O2 consumption were maximized, while Cu leaching was minimized using a statistical desirability function for multiple responses. Optimal conditions were found to be a catalyst concentration (mg Cu/mg H2O2) of 0.234 (2.0 g L–1), an H2O2 dose of 73.3 % (0.73 times the stoichiometric dose for full COD mineralization), and a remarkable circumneutral pH of 6.2. Under these conditions, degradation reached 94.1 %, and COD mineralization was 51 % under room temperature. Notably, the perovskite catalyst exhibited remarkable stability during reuse in up to three cycles, as demonstrated by the low Cu leaching (<1.30 mg L–1).

Integrated multi-omics predictive analysis of atherosclerosis: a sub-study from the Mineralocorticoid Receptor Antagonism in Diabetic Atherosclerosis (MAGMA) trial

Abstract Background/Introduction Mineralocorticoid receptor (MR) antagonists (MRA) are beneficial in cardiorenal outcomes in randomized controlled trials but the mechanisms are unclear. MAGMA was an NHLBI sponsored randomized, double-blind, placebo controlled, 12-month trial comparing Spironolactone (n = 37) vs. placebo (n = 42) in Type 2 diabetics with CKD stages 3-4 on maximal renin-angiotensin system (RAS) blockade and a prior atherosclerotic event and/or left ventricular (LV) hypertrophy. The primary outcome of percent (%) change in total aortic wall volume (TWV) at 12 months, measured by magnetic resonance imaging (MRI), was significantly reduced by Spironolactone. Purpose/Originality The purpose of this analysis was to understand mechanistic pathways of MRAs using a multi-omics approach that could help tease out molecular mechanisms of benefit. Revealing for the first time which of these integrated pathways are predictive of the primary outcome will help design treatments for targeted interventions. Methods Plasma and peripheral blood mononuclear cells from patients randomized to Spironolactone or placebo at baseline and 3-months were measured for aptamer-based proteomic biomarkers (7,596 proteins) and 10-X platform-based single-cell RNA-sequencing (scRNAseq), respectively. Pre-selected candidate predictors were used as inputs of a predictive model of changes of TWV. We fit a Mixed-Multivariate Random Forest (RF) model, a variation of the RF supervised tree-based machine learning method to take the experimental design into account in the regression formulation. The two sources of "omics predictors" were integrated into a supervised multi-omics model to jointly explain the outcome using an extension of Sparse Generalized Canonical Correlation Analysis (SGCCA). Integrated multiome functional analyses with graphical visualizations were carried out by statistical enrichment analysis using Over Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA) against databases of gene ontologies, biological pathways, putative regulatory motifs, proteins, or disease annotations. Results The plasma proteome in response to Spironolactone revealed downregulation of MR targets including fibrosis, immune activation/inflammation, leukocyte activation, proliferation and pathways involved in cytokine stimulation. scRNAseq pathways revealed negative regulation of cytokines production such as IL-2 and redistribution of multiple cell types. Predictors of plaque progression involved cytokine-receptor, complement-coagulation, cell adhesion and axonal guidance targets. Multiome integrated functional analyses results of predictive pathways will be presented. Conclusions The changes in plasma proteomic profile with Spironolactone were consistent with the phenotype of reduced atherosclerosis and downregulation of multiple inflammatory, immune response and profibrotic pathways.

Genome-Wide Identification and Expression Profiling Analysis of the CCT Gene Family in Solanum lycopersicum and Solanum melongena

CCT family genes play crucial roles in photoperiodic flowering and environmental stress response; however, there are limited reports in Solanum species with considerable edible and medicinal value. In this study, we conducted genome-wide characterization and expression profiling analysis of the CCT gene family in two Solanum species: tomato (Solanum lycopersicum L.) and eggplant (Solanum melongena L.). A total of 27 SlCCT and 29 SmCCT genes were identified in the tomato and eggplant genomes, respectively. Phylogenetic analysis showed that the CCT gene family could be divided into six subgroups (COL I, COL II, COL III, PRR, CMF I, and CMF II) in Oryza sativa and Arabidopsis thaliana. The similarity in the distribution of exon–intron structures and conserved motifs within the same subgroup indicated the conservation of SlCCT and SmCCT genes during evolution. Intraspecies collinearity analysis revealed that six pairs of SlCCT genes and seven pairs of SmCCT genes showed collinear relationships, suggesting that segmental duplication played a vital role in the expansion of the SlCCT and SmCCT family genes. Cis-acting element prediction indicated that SlCCT and SmCCT were likely to be involved in multiple responses stimulated by light, phytohormones, and abiotic stress. RT-qPCR analysis revealed that SmCCT15, SlCCT6/SlCCT14, and SlCCT23/SmCCT9 responded significantly to salt, drought, and cold stress, respectively. Our comprehensive analysis of the CCT gene family in tomato and eggplant provides a basis for further studies on its molecular role in regulating flowering and resistance to abiotic stress, and provides valuable candidate gene resources for tomato and eggplant molecular breeding.

Reconfigurable Frequency Response Masking Multi-MAC Filters for Software Defined Radio Channelization

Mobile technology is currently trending toward supporting multiple communication standards on a single device. This means that some reconfigurable techniques must be the foundation of their design. The two essential requirements of channel filters are minimized complexity and reconfigurability. In this research, a novel extension of Frequency Response Masking (FRM) was investigated by employing Time Division Multiplexing (TDM)-based single Multiply and Accumulate (MAC) architecture using the principle of resource sharing to realize multiple sharp filter responses from a single prototype constant group delay low pass filter. This paper uses a single multiply and add units regardless of the quantity of channels and taps. The suggested reconfigurable filter was synthesized on technology based on 0.18-µm CMOS and put into practice. Further trials were carried out on Virtex-II 2v3000ff1152-4 FPGA device. The outcomes revealed that the suggested channel filter, which was synthesized using FPGA, provides 21.36% of the area curtail and 14.88% of power scaling down on average and put into practice using ASIC provides 5.18% of the area reduction and 9.08% of power scaling down on average.

Temporal regulation of gene expression through integration of p53 dynamics and modifications.

The master regulator of the DNA damage response, the transcription factor p53, orchestrates multiple downstream responses and coordinates repair processes. In response to double-strand DNA breaks, p53 exhibits pulses of expression, but how it achieves temporal coordination of downstream responses remains unclear. Here, we show that p53's posttranslational modification state is altered between its first and second pulses of expression. We show that acetylations at two sites, K373 and K382, were reduced in the second pulse, and these acetylations differentially affected p53 target genes, resulting in changes in gene expression programs over time. This interplay between dynamics and modification may offer a strategy for cellular hubs like p53 to temporally organize multiple processes in individual cells.

Adoption of cloud-based accounting solutions in micro, small and medium-sized enterprises: insights from the Kingdom of Saudi Arabia

Purpose This study aims to explore the extent to which micro, small and medium-sized enterprises (MSMEs) in Saudi Arabia are adopting cloud-based accounting systems, what cloud accounting technologies MSMEs are using and the factors that affect cloud accounting system adoption. The technology, organizational and environmental model was used to assess the factors that affect the adoption of cloud accounting systems. Design/methodology/approach Data were collected via a survey distributed to MSME owners, directors and chief executives in Saudi Arabia. The final sample comprised 174 participants. Descriptive statistics, multiple response analysis and logistic regression were used to analyze the data. Findings This study’s findings show that many MSMEs currently do not use cloud accounting. The findings also show that Sage One and Xero Accounting are the main cloud accounting technologies MSMEs use. Perceived benefits, security concerns, organizational readiness, government support and vendor support were found to significantly influence the adoption of cloud accounting systems, while compatibility, firm size, top management support and intensity of the competition were not found to affect MSMEs adoption of cloud accounting technologies. Originality/value To the best of the authors’ knowledge, this study is the first to explore cloud accounting adoption by MSMEs in Saudi Arabia. It empirically shows the extent to which cloud-based accounting systems are used in MSMEs and the significant factors influencing the adoption of these systems.

The livelihood impacts of eucalypt plantations on rural farm households in Western Gurage Watersheds, Central-south Ethiopia

BackgroundRural landscapes, particularly those close to human settlements and main roads throughout the highlands of Ethiopia, appear greener than the outfields because of eucalypt plantations. The most common factors for eucalypt plantations are two: fuel and construction demands and to generate income. ObjectiveThis study tried to investigate the socioeconomic impacts of eucalypt plantations in Western Gurage Watersheds located in Central-south Ethiopia. The specific objectives are: to evaluate the socioeconomic importance of eucalypt plantations on the livelihood of farm households, and to assess perceptions on impacts of eucalypt plantation and copping strategies. MethodsSystematic and purposive sampling method was employed by selecting households with eucalypt woodlots from the list of each Woreda's Kebeles. Close- and open- ended questionnaires were distributed to every fifth households that possessed eucalypt plantations. Three hundred eighty three questionnaires were distributed and collected from households found in three Woredas (districts) namely Cheha, Enemorna Ener, and Eza located in the Watersheds. To supplement the information critical observations, discussions with focus groups and interviews with key informant were employed. The survey data were analyzed using both qualitative and quantitative techniques. To describe data acquired from critical observations, focus group discussions and key informant interviews; critical and logical qualitative data analysis technique were used. Descriptive and dispersive statistics such as frequency, percentage, mean, variance, standard deviation, p- value and correlation were employed using SPSS Version 20. ResultsThe result showed that eucalypt plantation dominated fuel wood and construction consumption and substituted further encroachment to natural forests. From multiple responses given, households prefer planting eucalypts to indigenous trees because it is fast growing (100 %), profitable (100 %), needs lesser labor (100 %), needs lower capital (100 %), can be used for multipurpose (100 %), and coppice itself fatly (93 %). They rated income gained from eucalypt as 2nd next to enset. ConclusionsHouseholds may continue planting the species particularly for fuel wood and construction need since substituting it by other alternative seems not feasible and challenging. To sustain the livelihood and environment; appropriate management like site selection and substitutions by horticultural and cash crops using micro irrigation schemes for market needs are recommended. Conducting in-depth participatory research and specific policy ratification and promulgation on eucalypt plantations will sustain its utilization and curb the drawbacks.

Pain Management in Knee Osteoarthritis: Insights from an Exploratory Online Survey of Italian Patients and Physicians.

In Italy, knee osteoarthritis (KOA) accounts for over 5 million prevalent cases and requires long-term multidisciplinary management. The most frequent KOA symptom is pain. The aim of the survey is to provide a national overview of the current management of moderate-to-severe pain associated with KOA from both clinicians' and patients' perspectives. An exploratory qualitative survey was conducted in Italy between July and October 2023. The survey participants were members of four national scientific societies and two patient associations who were invited to participate via email and given an online questionnaire. Questions included a mix of single and multiple responses and scalar items. In total, 1473 clinicians and 150 patients with KOA completed the questionnaire. Patients rated knee pain as both the most burdensome symptom and the most frequent reason for treatment dissatisfaction and seeking consultation. One in two patients declared that they were unsatisfied/little satisfied with the current prescribed analgesic treatments. The clinicians surveyed preferentially prescribed intra-articular hyaluronic acid, oral non-steroidal anti-inflammatory drugs/paracetamol, non-pharmacological intervention, and intra-articular corticosteroids. The clinicians' selection of analgesic therapy often failed to adequately meet patients' expectations for pain relief. Our findings highlight the current unmet needs of patients with KOA in Italy and call for new approaches to effectively optimize the management of KOA-associated pain.

Multiresponsive Color-Changing and Tough Hydrogels Enabled by Self-Assembled Epoxy Oligomer Microspheres.

The fabrication process of hydrogels often incorporates various strategies to achieve multiple responses and enhance strength, which always make the procedure complex and even hinder the incorporation. Here, we develop a facile and flexible method to simultaneously achieve multiresponsive color-changing and tough properties in hydrogels by introducing epoxy oligomer microspheres (DEPMS) to hydrophobic association (HA) hydrogels. DEPMS is responsive to both pH and solvents, showing color changes due to conversion to a conjugated structure. The obtained DEPMS composite hydrogels could demonstrate diverse color-changing patterns by simply adjusting the components and pH of the solvents. Meanwhile, amphiphilic DEPMS helps to disperse hydrophobic regions of the HA hydrogel, resulting in more uniform cross-linking and thereby contributing to the enhanced mechanical properties. The tensile strength and toughness of the composite hydrogels could be easily adjusted and reach 1.00 MPa and 11.18 MJ m-3, respectively. This work provides an approach to the design of multiple responsive and tough hydrogels while offering insights into the recycling of waste epoxy resins.

Serum L-selectin levels as predictive markers for chronic major depressive disorder progression

BackgroundMajor depressive disorder (MDD) exhibits a recurrence rate of up to 70%. Frequent recurrence can lead to chronic depression, which has considerable personal and societal consequences. This study aims to identify a serum protein biomarker to predict MDD recurrence and progression to chronicity.MethodsSerum samples from the MDD with single episode group (MDD-S), MDD with recurrence group (MDD-R), and a healthy control group were collected. Non-targeted analysis of the serum proteome was conducted using liquid chromatography–tandem mass spectrometry. Statistically significant common proteins when comparing the three groups were chosen. The selected marker candidates were subsequently validated through multiple response monitoring (MRM), incorporating a healthy control, MDD-S, MDD-R(2) (two episodes), and MDD-R(> 2) (more than two episodes) groups.ResultsL-selectin levels showed an upward trend in the MDD-R group compared to the healthy control and MDD-S groups. MRM validation revealed a decreased tendency for L-selectin in the MDD-R(> 2) group, indicative of a chronic state, versus the healthy control and MDD-S groups. The receiver operating characteristic analysis highlighted L-selectin as the chosen biomarker due to its classification efficacy for the MDD-R(> 2) group.ConclusionL-selectin emerged as a predictive biomarker for MDD recurrence and its potential evolution into chronic depression. This marker offers insights into changes in leukocyte-mediated inflammatory responses characteristic of chronic depression. Consequently, it may forecast the transition from acute to chronic inflammation in depressive patients.

Regulation of the gap junction interplay during postnatal development in the rat epididymis.

During postnatal development of the rat epididymis, a change in the expression of gap junction proteins, or connexins (Cxs), occurs, in which Gjb2 (Cx26) and Gja1 (Cx43) levels in the proximal epididymis are decreased, while Gjb1 (Cx32), Gjb4 (Cx30.3) and Gjb5 (Cx31.1) levels increase. The mechanism(s) responsible for the switch in Cx expression is unknown. The aim of this study is to identify the mechanisms responsible for the decrease in GJB2 protein levels and the increase in other Cxs during postnatal development. Results indicate that decreased Gjb2 expression for 48h does not alter the expression of other Cxs in RCE-1 principal cells, suggesting a lack of compensatory expression. Sequence analysis of both Gjb2 and Gjb1 promoters identified common multiple response elements to steroid hormones. Using RCE-1 cells, we observed that dexamethasone increased Gjb2 mRNA levels by twofold after 48h, while estradiol had no effect. Orchidectomy in rats resulted in a significant increase in GJB2 and decreased GJB1 in the caput and corpus epididymidis. Changes in Cxs protein levels were prevented by testosterone in orchidectomized rats. Similar results were observed in the prostate, another androgen-receptive organ. LNCaP cells, which are androgen-responsive, showed that exogenous dihydrotestosterone (DHT) decreased Gjb2 mRNA levels by approximately 50% concomitant with a 1.5-fold increase in Gjb1 levels. Using a GJB1 promoter construct we showed that DHT could induce transactivation of the luciferase transgene, while transactivation of two GJB2 promoters were unaltered. Results indicate that androgens and glucocorticoids regulate the expression of epididymal Cxs.

Combinatorial Method for Quality Improvement of the Thrust Plate – A Case Study

Aim: This research aims to mitigate defects in the turning operation of thrust plates used in fighter jet fuel tank assemblies, thereby reducing the rejection rate and improving overall quality. This aligns with the aerospace industry's reliability goals. Background: The thrust plate is a critical component in fighter jet fuel tank assembly, transmitting engine thrust to the airframe. Quality compromises in this component can impair jet performance. It was observed that the thrust plate had a rejection rate of about 2.9% due to various defects. This real- world scenario underscores the importance of our study on the thrust plate and its potential impact on the aerospace industry. The rejection rate underscores its significance and potential for patent by quality improvement in turning of the thrust plate. Objective: The objective is to mitigate turning operation defects on the thrust plate to reduce rejection rates, aligning with aerospace industry reliability goals. Methods: Experimentation encompassed four pivotal factors: turning speed, feed rate, cutting depth, and tool inserts, implemented through Taguchi's Orthogonal Array technique. Grey Relational Analysis was utilized to optimize parameters in thrust plate turning. Specifically, this paper targeted the enhancement of its diameter, surface roughness, and tool life. Results: A single coefficient for the multiple responses, i.e., grey relational grade, has been determined, and optimum levels for the parameters have been identified. Confirmation experiments with the optimal factor level combination were carried out on a sample of thrust plates, and no rejections were observed. Conclusion: An experimental design based on Taguchi’s orthogonal array approach was used to conduct the experiments. The Grey Relational Analysis has been applied to analyze the experimental results and optimize the turning operation process parameters for the responses thrust plate diameter, tool life, and surface roughness. With this, the rejection of the thrust plate has been considerably reduced.

SlMYB72 interacts with SlTAGL1 to regulate the cuticle formation in tomato fruit.

The cuticle is the first physical barrier covering the surface of tomatoes and plays an important role in multiple stress responses. But the molecular regulatory networks of cuticle formation are not fully understood. In this study, we found that SlMYB72 can interact with SlTAGL1 to regulate the formation of fruit cuticle in tomato. Downregulating the expression of SlMYB72 inhibits the formation of fruit cuticle, resulting in a reduced fruit cuticle thickness, accelerated postharvest water loss, and increased susceptibility to Botrytis cinerea. RNA sequencing analysis showed that downregulation of the SlMYB72 gene decreased the expression levels of genes related to fatty acid and cuticle metabolism. SlMYB72 regulates the cuticle formation by directly binding to the promoter of long-chain acyl-coA synthetases (SlLACS1) and medium-chain alkane hydroxylase (SlMAH1). Moreover, SlMYB72 interacts with SlTAGL1, which can enhance the transcriptional activation of SlMYB72 on the SlMAH1 promoter. Overall, our study expands our understanding of the regulation of cuticle formation by SlMYB72 and provides new insights into fruit shelf life extension via manipulation of cuticle content.

Forecasting changes in the earth’s climate system by instrumental measurements and paleodata in the phase-time region, consistent with changes in the barycentric motions of the sun. Part 1

The relevance of the research is due to the need to establish the root cause of climate change on Earth and predict changes in heliocosmic, climatic variables, natural disasters by intramental measurements and paleodata, as time series, for long intervals of the time horizon in the phase domain, taking into account their cyclicity and interdependence of changes. Purpose of research: application of the time series analysis method of the time series to establish the strength of the influence of the barycentric movements of the Sun on the variability of heliocosmic, climatic variables, natural disasters and fires, high-precision prediction of variables in the phase-time domain for long horizons of hundreds and thousands of years by instrumental measurements and paleodata. Objects of research: time series of changes in heliocosmic and climatic variables, natural disasters and fires, curves of changes in climatic changes obtained by analysis of ice cores in Antarctica and bottom sediments in Antarctica. Methods of research: wavelet phase-frequency and phase-time analysis of images of heliocosmic and climatic variables, natural disasters and fires; calculation of the consistency of changes in selected groups on a set of phase-time characteristics of variables in a sliding mode. Main results of research: In the images of wavelet phase-time functions of many variables constructed from observations in 1600–2010, Jose periods of ~178 years were found, which are contained in changes in the characteristics of barycentric movements of the Sun, solar activity, solar constant, CO2,N2OEl Nino, solar wind, the level of the Caspian Sea, temperature in Greenland, the speed of rotation of the Earth, snow accumulation rates in the Indian Ocean sector of Antarctica, global temperature; cyclicity of changes in heliocosmic and climatic variables are consistent with changes in Baricentre; there is a significant difference in the consistency of changes in the phase-time characteristics of variables obtained at the southern hot and northern cold latitudes of the planet by about 2.1 times; in the northern part of the planet, changes in variables are more chaotic, due to the different influence of changes in the Baricentre variable, the magnetic fields of the Sun and the Earth on the variability of variables at different latitudes of the planet; significant variability and resonances of the phase characteristics of heliocosmic and climatic variables are observed by changes in Baricentre on the graphs of coordinated changes in groups of variables in the observed and predicted time intervals. The studies reveal multiple oscillatory responses of the Earth’s climate system to the impact of the Baricentre variable due to the heterogeneity of its components and the Earth’s magnetosphere in space. Changes in the set of phase-time characteristics of variables on the same graph in the observed and predicted time intervals in the interval ± π are displayed as changes in autowaves characteristic of self-organizing systems, characterizing climatic changes in environments in combination with the influence of the variable Baricentre.

Marker-Assisted Selection of Jacalin-Related Lectin Genes OsJRL45 and OsJRL40 Derived from Sea Rice 86 Enhances Salt Tolerance in Rice.

Soil salinization limits rice growth and is an important restriction on grain yield. Jacalin-related lectins are involved in multiple stress responses, but their role in salt stress responses and use as molecular markers for salt tolerance remain poorly understood. Salt stress treatments and RT-qPCR analyses of Sea Rice 86 (SR86), 9311, and Nipponbare (Nip) showed that OsJRL45 and OsJRL40 enhanced tolerance of salt stress in SR86. Molecular markers based on sequence differences in SR86 and the salt-sensitive variety, 9311, in the intergenic region between OsJRL45 and OsJRL40 were validated in recombinant inbred lines derived from SR86 and 9311, hybrid populations, and common rice varieties. Yeast two-hybrid and bimolecular fluorescence complementation demonstrated that OsJRL45 and OsJRL40 interacted. Co-transformation of Nip with OsJRL45 and OsJRL40 derived from SR86 had no effect on the mature phenotype in T2 plants; however, salt stress at the three-leaf stage led to significant increases in CAT, POD, SOD, and Pro contents, but reduced MDA content in transgenic plants. Transcriptomic analysis identified 834 differentially expressed genes in transgenic plants under salt stress. GO and KEGG enrichment analyses indicated that metabolic pathways related to antioxidant responses and osmotic balance were crucial for salt-stress tolerance. Thus, molecular markers based on nucleotide differences in OsJRL45 and OsJRL40 provide a novel method for identifying salt-tolerant rice varieties.

Emergency evacuation risk assessment for toxic gas attacks in airport terminals: Model, algorithm, and application

Transportation infrastructure has often been the target of terrorist attacks, and mitigation of the risk of toxic gas attacks is a challenging task in the design of indoor emergency evacuation systems. Considering multiple emergency response modes, we propose an agent-based risk assessment model and its algorithm to integrate gas diffusion and pedestrian movement data for emergency response, quickly assessing average individual exposure risk. We assessed the exposure status of individuals with respect to their emergency response actions following a toxic gas attack in an airport terminal. The results indicate that in the event of a general gas attack on an airport terminal, ventilation must be immediately ceased along with early evacuation. In areas with a shelter-in-place environment, the ventilation mode and shelter-in-place time should be determined based on the concentration of indoor and outdoor gases. In areas with nerve gas exposure and high population density, a new exit must be established at evacuation bottlenecks, and pedestrians must be guided to evacuate while promptly closing ventilation. These results offer suggestions and strategies for emergency response and decision-making in airport terminals during such incidents.

PDGF-induced internalisation promotes proteolytic cleavage of PDGFRβ in mesenchymal cells

Platelet-derived growth factor (PDGF)-induced signalling via PDGF receptor β (PDGFRβ) leads to activation of downstream signalling pathways which regulate multiple cellular responses. It is unclear how PDGFRβ is degraded; both lysosomal and proteasomal degradation have been suggested. In this study, we have characterised the proteolytic cleavage of ligand-activated PDGFRβ, which results in two fragments: a larger fragment containing the extracellular domain, the transmembrane segment, and a part of the intracellular juxtamembrane region with a molecular mass of ∼130 kDa, and an intracellular ∼70 kDa fragment released into the cytoplasm. The proteolytic processing did not take place without internalisation of PDGFRβ. In addition, chelation of intracellular Ca2+ inhibited proteolytic processing. Inhibition of the proteasome affected signal transduction by increasing the phosphorylation of PDGFRβ, PLCγ, and STAT3 while reducing it on Erk1/2 and not affecting Akt. The proteolytic cleavage was observed in fibroblasts or cells that had undergone epithelial-mesenchymal transition.

Stress Responses to Bark Beetle Infestations among Pine (Pinus sylvestris), Fir (Abies alba), and Beech (Fagus sylvatica) Trees

Insect infestation triggers multiple defense responses in plants, both locally at the infection site and systemically throughout the plant, including the production of feeding deterrents, toxins, defensive proteins, enzymes, and secondary metabolites. Our study aimed to compare the endogenous levels of antioxidative enzymes, photosynthetic pigments, phytohormones, total phenols, and flavonoids in bark-beetle-infested and uninfested trees. We evaluated the surviving trees in bark-beetle-infested stands, assessing both the condition and defense of uninfested and infested beech (Fagus sylvatica), pine (Pinus sylvestris), and fir (Abies alba) trees. Sampling was performed at six affected sites in the Czech Republic, targeting trees that were resilient to significant health deterioration caused by abiotic and biotic factors. The results showed different levels of most of the measured compounds in the three species. Among all the tested species, photosynthetic pigment levels showed the strongest association with infestation status, which was generally lower in the infested plants. For chlorophyll a, extremely significant reductions were observed from 123 ± 20.6 to 101 ± 17.9 μg/g dry weight (DW) in pine, from 231 ± 33.1 to 199 ± 22.2 μg/g DW in beech, and from 60 ± 5.66 to 51.3 ± 6.27 μg/g DW in fir. In contrast, enzymatic activities indicated only isolated instances of significant association, whereas antioxidative properties (total phenolic content, flavonoids, and 2,2-diphenyl-1-picrylhydrazyl radical scavenging capacity) were not significantly associated with infestation status. There was a statistically significant increase in glutathione reductase activity in infested fir and pine trees. However, this difference was not statistically significant in beech. In contrast, a significant increase in superoxide dismutase activity was detected in infected beech trees. Phytohormones have emerged as the most diverse group of analyzed compounds. Cytokinins were the most distinct, with many of them being significantly increased in infested pines, whereas both beech and fir showed only one significant association. Additionally, derivatives of jasmonic acid also showed a distinct pattern of change associated with bark beetle infestation, with the levels of three out of the four analyzed jasmonates being significantly decreased in infested pines, whereas no effects were observed in beeches and firs. Notably, many phytohormones were significantly elevated in the infested pine, whereas both beech and fir exhibited only one significant association. Overall, the data showed that pines responded differently to bark beetles than to beeches or firs. The greatest changes in phytohormones were observed in pine, whereas the most significant changes in photosynthetic pigments were observed in beech and fir trees.