Number Of Connections Research Articles

Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles.

Purse-seine fishers using drifting fish aggregating devices (dFADs), mainly built with bamboo, plastic buoys, and plastic netting, to aggregate and catch tropical tuna, deploy 46,000-65,000 dFADs per year in the Pacific Ocean. Some of the major concerns associated with this widespread fishing device are potential entanglement of sea turtles and other marine fauna in dFAD netting; marine debris and pollution; and potential ecological damage via stranding on coral reefs, beaches, and other essential habitats for marine fauna. To assess and quantify the potential connectivity (number of dFADs deployed in an area and arriving in another area) between dFAD deployment areas and important oceanic or coastal habitat of critically endangered leatherback (Dermochelys coriacea) and hawksbill (Eretmochelys imbricata) sea turtles in the Pacific Ocean, we conducted passive-drift Lagrangian experiments with simulated dFAD drift profiles and compared them with known important sea turtle areas. Up to 60% of dFADs from equatorial areas were arriving in essential sea turtle habitats. Connectivity was less when only areas where dFADs are currently deployed were used. Our simulations identified potential regions of dFAD interactions with migration and feeding habitats of the east Pacific leatherback turtle in the tropical southeastern Pacific Ocean; coastal habitats of leatherback and hawksbill in the western Pacific (e.g., archipelagic zones of Indonesia, Papua New Guinea, and Solomon Islands); and foraging habitat of leatherback in a large equatorial area south of Hawaii. Additional research is needed to estimate entanglements of sea turtles with dFADs at sea and to quantify the likely changes in connectivity and distribution of dFADs under new management measures, such as use of alternative nonentangling dFAD designs that biodegrade, or changes in deployment strategies, such as shifting locations.

Evaluation of extracting biomass energy using a strategic decision support system

Electricity significantly influences the long-term development of society. Traditional power generation technologies have encountered numerous challenges. The rising demand for power generation and the scarcity of fossil fuel resources have prompted the adoption of renewable energy sources. Biomass is a renewable energy source that can be utilized to generate power and promote a more sustainable environment. This paper presents improved Pythagorean Probabilistic Hesitancy Fuzzy Set (PPHFS) multi-criteria information fusion processes. The development of connection numbers (CN) and the proposal of a distance measure between CNs have been initiated. The suggested solution involves a distance measure based on the CN score function. Set-pair analysis (SPA) is a prior uncertainty theory that incorporates three elements of CN and overlaps with the PPHFS. Biomass energy generation poses a fuzzy multi-criteria decision-making (MCDM) problem that requires a wide range of resources for evaluation. The study introduces a novel Projection Ranking by Similarity to the Referencing Vector (PRSRV) and Simultaneous Evaluation of Criteria and Alternatives (SECA) to effectively handle data ambiguity and generate weights for all criteria in the MCDM problem. The criteria’s weights were found to fall within the range of 0.2122 and 0.0232. The proposed method indicates that animal residues are the most desirable resource for bioenergy production, followed by municipal solid residues, agricultural residues, forest and crop residues, industrial residues, and algae. The research aims to assist decision-makers and organizations in evaluating and prioritizing various energy sources on a sustainable scale. The method presented exhibits superior data adaptability compared to other MCDM approaches.

An exploratory study of drawings as a tool to evaluate student understanding of the Food-Energy-Water (FEW) Nexus

AbstractAs future decision-makers, students must develop interdisciplinary, systems thinking skills to make effective management decisions; however, systems thinking remains challenging for many students. Here, we use the Food-Energy-Water (FEW) Nexus as a framework to examine how drawings can help students cultivate systems thinking skills. Drawings can be tools to make implicit mental models of systems connections explicit for instructors to better comprehend student learning. Our goal was to understand how drawing can help students make connections across systems compared to using only verbal explanations. In 2021, we interviewed undergraduates, asking them to draw and verbally explain the FEW Nexus. Analysis revealed that student drawings showed an increase in the number of connections that half of students could describe when compared to verbal-only explanations. Instructors may benefit from this study by recognizing areas where students might struggle to understand FEW Nexus connections, where additional course emphasis is needed, and how drawings can help assess student learning.

COMPLEX CONTAGION IN SOCIAL SYSTEMS WITH DISTRUST

Social systems are characterized by the presence of group interactions and by the existence of both trust and distrust relations. Although there is a wide literature on signed social networks, where positive signs associated to the links indicate trust, friendship, agreement, while negative signs represent distrust, antagonism, and disagreement, very little is known about the effect that signed interactions can have on the spreading of social behaviors when, not only pairwise, but also higher-order interactions are taken into account. In this paper, we introduce a model of complex contagion on signed simplicial complexes, and we investigate the role played by trust and distrust on the dynamics of a social contagion process, where exposure to multiple sources is needed for the contagion to occur. The presence of higher-order signed structures in our model naturally induces new infection and recovery mechanisms, thus increasing the richness of the contagion dynamics. Through numerical simulations and analytical results in the mean-field approximation, we show how distrust determines the way the system moves from a state where no individuals adopt the social behavior, to a state where a finite fraction of the population actively spreads it. Interestingly, we observe that the fraction of spreading individuals displays a non-monotonic dependence with respect to the average number of connections between individuals. We then investigate how social balance affects social contagion, finding that balanced triads have an ambivalent impact on the spreading process, either promoting or impeding contagion based on the relative abundance of fully trusted relations. Our results shed light on the nontrivial effect of trust on the spreading of social behaviors in systems with group interactions, paving the way to further investigations of spreading phenomena in structured populations.

Analyzing Stabilities of Metal-Organic Frameworks: Correlation of Stability with Node Coordination to Linkers and Degree of Node Metal Hydrolysis.

Among the important properties of metal-organic frameworks (MOFs) is stability, which may limit applications, for example, in separations and catalysis. Many MOFs consist of metal oxo cluster nodes connected by carboxylate linkers. Addressing MOF stability, we highlight connections between metal oxo cluster chemistry and MOF node chemistry, including results characterizing Keggin ions and biological clusters. MOF syntheses yield diverse metal oxo cluster node structures, with varying numbers of metal atoms (3-13) and the tendency to form chains. MOF stabilities reflect a balance between the number of node-linker connections and the degree of node hydrolysis. We summarize literature results showing how MOF stability (the temperature of decomposition in air) depends on the degree of hydrolysis/condensation of the node metals, which is correlated to their degree of substitution with linkers. We suggest that this correlation may help guide the discovery of stable new MOFs, and we foresee opportunities for progress in MOF chemistry emerging from progress in metal oxo cluster chemistry.

Partial Syndrome Measurement for Hypergraph Product Codes

Hypergraph product codes are a promising avenue to achieving fault-tolerant quantum computation with constant overhead. When embedding these and other constant-rate qLDPC codes into 2D, a significant number of nonlocal connections are required, posing difficulties for some quantum computing architectures. In this work, we introduce a fault-tolerance scheme that aims to alleviate the effects of implementing this nonlocality by measuring generators acting on spatially distant qubits less frequently than those which do not. We investigate the performance of a simplified version of this scheme, where the measured generators are randomly selected. When applied to hypergraph product codes and a modified small-set-flip decoding algorithm, we prove that for a sufficiently high percentage of generators being measured, a threshold still exists. We also find numerical evidence that the logical error rate is exponentially suppressed even when a large constant fraction of generators are not measured.

Bone collagen tensile properties of the aging human proximal femur

Despite the dominant role of bone mass in osteoporotic fractures, aging bone tissue properties must be thoroughly understood to improve osteoporosis management. In this context, collagen content and integrity are considered important factors, although limited research has been conducted on the tensile behavior of demineralized compact bone in relation to its porosity and elastic properties in the native mineralized state. Therefore, this study aims (i) at examining the age-dependency of mineralized bone and collagen micromechanical properties; (ii) to test whether, and if so to which extent, collagen properties contribute to mineralized bone mechanical properties.Two cylindrical cortical bone samples from fresh frozen human anatomic donor material were extracted from 80 proximal diaphyseal sections from a cohort of 24 female and 19 male donors (57 to 96 years at death). One sample per section was tested in uniaxial tension under hydrated conditions. First, the native sample was tested elastically (0.25 % strain), and after demineralization, up to failure. Morphology and composition of the second specimen was assessed using micro-computed tomography, Raman spectroscopy, and gravimetric methods. Simple and multiple linear regression were employed to relate morphological, compositional, and mechanical variables with age and sex.Macro-tensile properties revealed that only elastic modulus of native samples was age dependent whereas apparent elastic modulus was sex dependent (p < 0.01). Compositional and morphological analysis detected a weak but significant age and sex dependency of relative mineral weight (r = −0.24, p < 0.05) and collagen disorder ratio (I∼1670/I∼1640, r = 0.25, p < 0.05) and a strong sex dependency of bone volume fraction while generally showing consistent results in mineral content assessment. Young's modulus of demineralized bone was significantly related to tissue mineral density and Young's modulus of native bone.The results indicate that mechanical properties of the organic phase, that include collagen and non-collagenous proteins, are independent of donor age. The observed reduction in relative mineral weight and corresponding overall stiffer response of the collagen network may be caused by a reduced number of mineral-collagen connections and a lack of extrafibrillar and intrafibrillar mineralization that induces a loss of waviness and a collagen fiber pre-stretch.

THE IMPACT OF STRESS-ASSOCIATED DISEASES OF THE DIGESTIVE ORGANS ON THE PSYCHOPHYSIOLOGICAL STATE OF OPERATORS OF UNMANNED AIRCRAFT SYSTEMS

Introduction. In the conditions of martial law, an important role belongs to modern military equipment, which includes unmanned aircraft systems (UAS). Оperators of UAS in the course of combat missions are significantly affected by the stress factor. It provokes the occurrence of stress-associated diseases in them, therefore, studying the specifics of the impact of stress-associated diseases on the psychophysiological state of operators determines the relevance of this study. The purpose of the study. To establish the patterns of influence of stress-associated diseases of the digestive organs on the psychophysiological state of the operators of unmanned aircraft systems. Materials and methods. In the course of the research, 94 operators of UAS under the age of 40 were examined, who were then divided into groups based on their health status. The examination was carried out using modern modified methods implemented on the basis of the software and hardware complex for psychophysiological research «PFI-2». The results. It has been proven that stress-associated diseases of the digestive organs significantly worsen (p&lt;0,05) the psychophysiological state of operators of UAS in a sufficiently large number of professionally important psychophysiological qualities. The reliable influence of the «state of health» factor on the indicators of simple and complex visual-motor reaction of operators of UAS is shown. The analysis of correlation constellations according to cognitive parameters showed that 6 of them are observed in healthy operators, 2 in mildly ill patients, and 1 in severely ill patients, that is, the system of connections between cognitive functions breaks down quite strongly with the development of stress-associated diseases of the digestive organs. There is a natural decrease in the number of connections in the series «healthy (13) – mildly ill (10) – severely ill (5)». It is shown that the stress that causes the disease fundamentally destroys the system of ensuring professional activity. Conclusions. It was established that stress-associated diseases of the digestive organs negatively affect the psychophysiological state of operators. The degree of degradation of the structure of correlation relations (р=0,0491) as a result of the influence of the stress factor on the operators was revealed. A hypothesis regarding the destruction of the system of connections between cognitive psychophysiological parameters depending on the «severity of the disease» is proposed. The need to develop a set of measures to prevent the development of stress-related diseases among operators of UAS has been established.

Spiral wave dynamics in a neuronal network model

Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, ,we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius (R) plays a crucial role in the appearance of spiral waves. For R < 20 µm, only asynchronous activity is observed due to small number of connections. The coupling strength ( gsyn ) greatly influences the pattern transitions for higher R, where spikes and bursts firing patterns can be observed in spiral and non-spiral waves. Finally, we show that for some values of R and gsyn bistable states of wave patterns are obtained.

192 Effects of inclusion of a probiotic and/or a postbiotic in diets containing a phytogenic feed additive on growth performance and fecal microbiome composition and function of nursery pigs

Abstract This study investigated the effects of inclusion of a Bacillus-based probiotic and a postbiotic from Lactobacillus acidophilus fermentation (Dia-V Nursery, Diamond V, IA) in diets containing a phytogenic feed additive (Fresta Protect, Delacon, Austria) on growth performance and fecal microbiome of pigs. Weaned pigs [n = 1,840; 19 d old; initial body weight (BW) = 6.1 ± 0.2 kg] were allotted to 16 replicate pens/ treatment (23 pigs/pen) in 2 barns. Pens were blocked by location within barn and randomly allotted to 5 treatments: 1) Basal diet (NC), 2) NC without specialty fats (soy oil blend and medium chain fatty acid blend) + 0.1% phytogenic (PC), 3) PC + 0.05% probiotic (1.1 x 106 CFU/kg of complete feed; PC+Prob), 4) PC + 0.2% postbiotic (PC+Post), and 5) PC + 0.05% probiotic + 0.2% postbiotic (PC+Prob+Post). Pigs were fed experimental diets during phase 1 (d 0-10) and 2 (d 10-23). Pig and feed weights were recorded at the beginning and end of each phase. Fecal samples were collected from 2 pigs/pen (n = 32/treatment) on d 7 and 25 post-wean and subjected to DNA extraction and shotgun metagenomics to evaluate gut microbiome. Performance data were analyzed using the lme4 package of R with treatment as fixed effect and barn and pen location within barn as random effects. Microbiome data were center-log-ratio transformed and analyzed for alpha- and beta-diversity, differentially abundant taxa and genes, microbial network, and carbohydrate active enzymes (CAZy). No differences on performance, mortality or removals were observed during phase 1, phase 2, or overall among treatments (Table 1). Microbiome features were similar between NC and PC. The PC+Prob did not affect alpha- and beta-diversities of microbiome. The PC+Post reduced (P &amp;lt; 0.05) alpha-diversity on d 7 compared with PC and affected (P &amp;lt; 0.05) beta-diversity on both timepoints. The PC+Post had the greatest number of differentially abundant taxa (P &amp;lt; 0.05) compared with PC both on d 7 (27 taxa) and 25 (14 taxa). The PC+Post had greater (P &amp;lt; 0.05) presence of CAZy including glycoside hydrolases, glycosyltransferases and carbohydrate-binding modules on both timepoints. Inclusion of probiotic and postbiotic separately or in combination reduced (P &amp;lt; 0.05) the number of positive connections within the microbial network suggesting these additives promoted a more competitive microbial ecosystem against opportunistic microorganisms compared with PC. Inclusion of postbiotic speeded up the progression of microbiome toward a more mature community. This resulted in reduction of diversity but increased carbohydrate enzyme capability making microbial community leaner and more effective. In conclusion, replacement of specialty fats with a phytogenic did not affect piglet performance or microbiome under non-challenge conditions and no differences in performance were observed between PC pigs and those supplemented with a probiotic or postbiotic despite the effects observed in microbiome.

Connection-Based Zagreb Indices of Polycyclic Aromatic Hydrocarbons Structures.

Topological indices (TIs) are mathematical formulas that are applied in mathematical chemistry to predict the physical and chemical properties of various chemical structures. In this study, three different types of polycyclic aromatic hydrocarbon structures (PAHs) (i.e., Hexa-peri-hexabenzocoronene, Dodeca-benzo-circumcoronene, and Hexa-cata- hexabenzocoronene) are studied with the help of the different connection number-based Zagreb indices. ϑ = (V(ϑ),E(ϑ)) is used as a graph, where V(ϑ) is a collection of vertices and E(ϑ) is a collection of edges. For a vertex y, ∈V(ϑ), the degree d_ϑ (y), is the number of those vertices that are at a distance of 1 from y and the connection number ρ_ϑ (y) is the number of such vertices that are at a distance of 2 from vertex y. Theoretical applications of topological indices were described in detail. Finally, we obtained the first and second Zagreb connections as well as the modified first, second, third, and fourth Zagreb connection indices, which were calculated for three different types (Hexa-peri-hexabenzocorone, Dodeca-benzo-circumcoronene, and Hexa-cata-hexabenzocoronene) of polycyclic aromatic hydrocarbon structures.

Abstract 3114: Time Course Multi-omics Approach Investigating Gene Expression Regulation During Vascular Smooth Muscle Cell Phenotypic Transitioning

Coronary artery disease (CAD) is the leading cause of death in the United States. There is a need for novel therapeutic targets that prevent life-threatening consequences directly associated with plaque accumulation in the vascular wall—the underlying cause of CAD. During the progression of atherosclerosis, vascular smooth muscle cells (VSMCs) transdifferentiate from a contractile to a synthetic phenotype that can either promote fibrous cap stability (fibroblast-like) or contribute to inflammation and plaque accumulation (macrophage or osteoblast-like).The molecular mechanisms driving the functional phenotypic switching of VSMCs are not fully understood and represent a unique opportunity for discovering new treatments directly targeting plaque formation in the vascular wall. We measured gene expression regulation during VSMC dedifferentiation using time-course chromatin remodeling (ATACseq) and nascent transcription data (PROseq). We stimulated VSMCs from three healthy heart transplant donors with PDGF-BB for 0, 4, 8, 12, and 16 hours and performed sequencing in duplicate for each donor at each time point for a total of 30 PROseq and 30 ATACseq libraries. We identified 231,315 regions of accessible chromatin (peaks) in the ATACseq data and 12,954 genes in the PROseq data across the five time points. Likelihood ratio testing detected 13,285 peaks and 7,438 genes with time-dynamic changes in read counts representing six patterns of variable accessibility and nascent transcription following PDGF-BB stimulation: gradual increase/decrease (I/D), immediate I/D, and transient I/D. Transcription factor binding site (TFBS) motif enrichment of dynamic peaks revealed 31 TFs unique to one time dynamic. We identified 157 genes directly downstream of peaks enriched for the 31 TFBSs sharing similar time-specific fold changes. THAP1 binding site motifs had the highest number of cis-regulatory connections (596) and downstream genes (80). Our results capture the first ever time-course ATACseq and PROseq analysis conducted in human VSMCs and provide the ability to predict regulatory edges between TFs and genes in order to map the regulatory cascading events occurring during VSMC switching from a contractile to a synthetic state.

Study of Water Resource System Adaptability Based on the Connection Number and Three-Dimensional Risk Matrix

Study of Water Resource System Adaptability Based on the Connection Number and Three-Dimensional Risk Matrix

NON-CYCLICAL INDUSTRIAL PERFORMANCE IN INDONESIA: THE MODERATION OF AUDIT QUALITY

This study aims to analyze the factors of hexagon fraud in detecting financial statement fraud in non-cyclical sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2022. Based on the purposive sampling method, the number of companies sampled in this study was 33 research criteria of non-cyclical companies with a total of 66 observations. The results of this study found that the element of pressure proxied by government projects had a significant effect on fraudulent financial statements. Meanwhile, financial targets, financial stability, changes in directors, ineffective monitoring, change in auditors, frequent number of CEO's pictures, political connections, state-owned enterprises, and audit opinions have no significant effect on fraudulent financial reports in non-cyclicals sector companies listed on the IDX 2020-2021.

Modeling and vibration analysis of bolted composite conical-conical shells with flanges

This paper proposes a general semi-analytical modeling method of bolted composite conical-conical shells with flanges based on the first-order shear deformation theory. The coupling connections between conical shells and flanges are achieved by using the penalty function method. A bolted joint model that considers the non-uniform distribution of interface pressure is proposed, which can efficiently simulate any number of bolt connections between flanges and boundaries and between flanges and flanges. The correctness and effectiveness of the proposed modeling method are confirmed through step-by-step comparisons with finite element analysis and experimental testing. Then, the influence of various parameters on the frequency trajectories and modal shapes of bolted composite conical-conical shells with flanges is analyzed, with a particular focus on frequency veering and modal coupling vibration behaviors in these structures. The analyses indicate that the proposed modeling method can flexibly adjust structural geometric parameters, material parameters, bolt parameters, fiber layer parameters, and so on, which can efficiently guide the dynamic design of bolted composite conical shell structures with flanges.

Examining Teachers' Professional Relationships, Friendship, and Trust Networks via Social Network Analysis

In this study, Social Network Analysis method was used to determine the professional relationships, friendships and trust networks that teachers established with their colleagues. The study group of the research consists of 35 teachers working in a public secondary education institution in Aydın province. A three-question structured interview form developed by the researchers was used to determine teachers' social networks. Data analysis was carried out through the UCINET 6.0 program. When the findings regarding the positions of teachers in the professional relationship network, friendship network and trust network were examined, it was determined that the network structure with the highest number of connections was the friendship network (ties = 97), followed by the professional relationship (ties = 95) and the trust network (ties = 66). In all social networks, teachers with mathematics, guidance, literature and biology branches were found to be at the center of the network, acting as a bridge between other actors and providing information and resource flow. According to the findings, it was determined that the network with the highest density (dens. = 0.082), bilateral (dia. = 0.198) and triad (triad = 0.330) reciprocity rate was the friendship network. This study, which examines the professional relationships, friendships and trust networks that teachers establish with their colleagues, is thought to be important in revealing the relationships between teachers and analyzing the current situation.

INDEPENDENT AVERAGE CONNECTIVITY NUMBER IN GRAPHS

Let G = (V (G), E(G)) be a simple, undirected graph. The vulnerability of a graph is a determination that includes certain properties of the graph not to be damaged after the removal of a number of vertices or edges. In this paper, the concept of independent average connectivity number is introduced as a new vulnerability measure and some bounds and independent average connectivity number of some well-known graph families are examined. Independent average connectivity will give the number of vertices that need to be removed to separate the pairs of vertices selected from the independent set in a graph G(V, E). Independent average connectivity number of a graph G(V, E) is denoted by kβ(G) and defined as kβ(G) = T I(G) ( n 2 ) where T I(G) is a total independence number of G(V, E) graph with n vertices. In this study, all the graphs considered simple, finite, and undirected.

Construction and application of urban water resources spatial equilibrium model: A case study of Ulanqab City

ABSTRACT Evaluating the water resources spatial equilibrium (WRSE) is the foundation for scientifically planning the construction of an optimized water resource allocation system and achieving the high-standard development of the China Water Network Project. To elucidate the characteristics of WRSE variation in Ulanqab City, this study explored a novel WRSE assessment model based on connection number and the subtraction set pair potential method. The results indicate that: (1) there exists a mismatch between the distribution of water resources in Ulanqab City and its socio-economic development. In 2020, the Gini coefficients of water resources total quantity concerning resident population, gross domestic product (GDP), industrial output value, and irrigated land area were 0.48, 0.48, 0.51, and 0.28, respectively. (2) From 2011 to 2020, the overall WRSE level in Ulanqab City showed an increasing trend year by year. Among them, the WRSE levels in six counties improved, while Jining District consistently remained at a low equilibrium state due to the prominent contradiction between water supply and demand. (3) In the future, Ulanqab City can further enhance the WRSE level by promoting the reuse of recycled water, intensifying groundwater pollution control, and implementing a quota management system for agricultural water use.

Evaluation of the impact of climate change on the ecological resistance and ecological corridors based on set pair analysis theory

Climate change significantly impacts ecological resistance and ecological corridors. However, the difficulty in evaluating this impact lies in two crucial issues: (i) the uncertainty arising from spatial heterogeneity, and (ii) the diversity of impacts arising from this uncertainty. A set pair analysis (SPA) model is designed to assess the impact of climate change on ecological resistance and ecological corridors for addressing the aforementioned problems. First, the ecological resistance and corridors under different climate change scenarios are simulated. Then, the five-element connection number is used to reflect changes in ecological resistance and corridors influenced by climate change and uncertainty. Finally, the influence indices are constructed to quantify the three distinct impacts of climate change on them. The evaluation results for Jiangxi Province are as follows. (i) The province’s UR index values are 0.085, 0.127, 0.351, 0.501, and 0.468 under five climate change scenarios, respectively. The impact of climate change on ecological resistance is rapidly deteriorating, and the central region is the high-value center for future ecological resistance. (ii) The values of UC in the central and southern regions range from − 0.568 to − 0.320 and from − 0.816 to − 0.446, respectively. In the two regions, the assessments of the impact of climate change on ecological corridors are negative, which results in a reduction in connectivity. (iii) The crucial meteorological risks with the greatest impact on ecological resistance and corridors are floods and high-temperature disasters. (iv) The proposals for Jiangxi Province to address climate change are as follows: enhancing flood prevention, improving high-temperature monitoring, and establishing an ecological management system. (v) The SPA model can effectively assess the different impacts of climate change with spatial uncertainty on ecological resistance and corridors.

Succession of tissue microbial community during oat developmental

Investigating oat tissue microflora during its different developmental stages is necessary for understanding its growth and anti-disease mechanism. In this study, 16S rDNA and ITS (Internally Transcribed Spacer) high-throughput sequencing technology were used to explore the microflora diversity of oat tissue. Twenty-seven samples of leaves, stems, and roots from three developmental stages, namely the seedling stage (SS), jointing stage (JS), and maturity stage (MS), underwent sequencing analysis. The analysis showed that 6480 operational taxonomic units (OTUs) were identified in the examined samples, of which 1698 were fungal and 4782 were bacterial. Furthermore, 126 OTUs were shared by fungi, mainly Ascomycota, Basidiomycota, and Mucoromycota at the phylum level, and 39 OTUs were shared by bacteria, mainly Actinobacteriota and Proteobacteria at the phylum level. The microbial diversity of oat tissue in the three developmental stages showed differences, and the α-diversity of the bacteria and β-diversity of the bacteria and fungi in the roots were higher than those of the stems and leaves. Among the bacteria species, Thiiopseudomonas, Rikenellaceae RC9 gut group, and Brevibacterium were predominant in the leaves, MND1 was predominant in the roots, and Lactobacillus was predominant in the stems. Moreover, Brevibacterium maintained a stable state at all growth stages. In the fungal species, Phomatospora was dominant in the leaves, Kondoa was dominant in the roots, and Pyrenophora was dominant in the stems. All species with a high abundance were related to the growth process of oats and antagonistic bacteria. Furthermore, connection modules were denser in bacterial than in fungal populations. The samples were treated with superoxide dismutase and peroxidase. There were 42 strains associated with SOD (Superoxide dismutase), 60 strains associated with POD (Peroxidase), and 38 strains in total, which much higher than fungi. The network analysis showed that bacteria might have more dense connection modules than fungi, The number of bacterial connections to enzymes were much higher than that of fungi. Furthermore, these results provide a basis for further mechanistic research.