Results Of Canonical Correlation Analysis Research Articles

Crawling with a vehicle: Rock-crawlers’ recreation specialization, motivation, and sources of challenges

Rock crawling, an off-road vehicle (ORV) activity for which drivers use highly modified ORVs to climb over extreme terrain and rock obstacles, is an outdoor adventure activity. This thrill-seeking outdoor activity requires specialized skills and knowledge to overcome challenges and remain engaged. This study aims to investigate the relationship between rock crawlers' motivations and the sources of challenges, as well as variations in that relationship due to the different levels of specialization among rock crawlers. A total of 377 rock crawling participants completed the online survey, with 11% self-classifying as novice rock crawlers, 46% as intermediate rock crawlers, and 43% as advanced rock crawlers. Through exploratory factor analysis (EFA), four motivation factors and seven sources of rock crawling challenges were identified. The results of canonical correlation analysis revealed positive associations between rock crawlers' motivations, including socialization, relaxation and freedom, self-expression, and sense of achievement, and the sources of challenges such as environmental uncertainty, activity difficulty, and competition in rock crawling. Furthermore, the results of multivariate analysis of variance (MANOVA) indicated variations in rock crawlers’ motivations and sources of challenges across the three specialized groups. Management implicationsThe study aims to assist public land management agencies in integrating social science research into the decision-making process and sustainable management for off-roading on public land. To operate a sustainable rock crawling program, management should emphasize: (1) providing sufficient accommodations and access to fulfill socialization needs while ensuring safety; (2) organizing special events or competitions to enhance rock crawlers’ psychological well-being and life satisfaction; (3) executing targeted marketing campaigns to attract committed or advanced rock crawlers, thereby contributing to the local economy; and (4) advocating for clean energy consumption and regulating greenhouse gas emissions.

Cortinarius and Tomentella Fungi Become Dominant Taxa in Taiga Soil after Fire Disturbance.

Fungi have important ecological functions in the soil of forests, where they decompose organic matter, provide plants with nutrients, increase plant water uptake, and improve plant resistance to adversity, disease, and disturbance. A forest fire presents a serious disturbance of the local ecosystem and can be considered an important component affecting the function of ecosystem biomes; however, the response of soil fungi to fire disturbance is largely unknown. To investigate the effects of fire disturbance on the community composition and diversity of soil fungi in a taiga forest, we collected soil from plots that had undergone a light, moderate, and heavy fire 10 years previously, with the inclusion of a fire-free control. The present soil fungi were characterized using Illumina MiSeq technology, and the sequences were analyzed to identify differences in the community composition and diversity in response to the changed soil physicochemical properties. The results showed that the Chao1 index, which characterizes the alpha diversity of the fungi, did not change significantly. In contrast, the Shannon index increased significantly (p < 0.05) and the Simpson index decreased significantly (p < 0.05) following a light or heavy fire disturbance compared to the control. The relative abundance of Basidiomycota was significantly higher in the soil of the fire sites than that in the control (p < 0.01), and the relative abundance of Ascomycota was significantly lower (p < 0.01). The results of principal coordinates analyses (PCoAs) showed that fire disturbance highly significantly affected the beta diversity of soil fungi (p < 0.001), while the results of canonical correlation analysis (CCA) indicated that the available nitrogen (AN), moisture content (MC), pH, available potassium (AK), and total nitrogen (TN) contents of the soil significantly affected the compositional structure and diversity of the soil fungal communities. The results of functional prediction showed that the majority of the detected soil fungi were symbiotrophs, followed by saprotrophs and saprotroph-symbiotrophs, with ectomycorrhiza being the dominant functional taxon. Fire disturbance significantly reduced the relative abundance of ectomycorrhiza (p < 0.05). This study illustrates that fire disturbance alters the structural composition, diversity, dominance, and relative abundance of the guilds of soil fungal communities in taiga forest, and strongly affected the beta diversity of soil fungi, with AN, MC, pH, AK, and TN being the most important factors affecting their community structure. The results may provide a useful reference for the restoration and rehabilitation of taiga forests after fire disturbance.

Analysis of under-ice ambient noise characteristics of Gakkel Ridge in the Arctic.

This paper presents an analysis of the under-ice acoustic data and environmental parameters measured over a three-month period from August 31 to November 28, 2021, within the area of the Gakkel Ridge in the Arctic. After "spikes" caused by micro-level events are removed, the distribution of the retained under-ice noise related to macro-level events can be described satisfactorily by a Gaussian distribution, as verified by Q-Q plots and kurtosis/skewness analysis. We use sliding window analysis to deal with the features of under-ice ambient noise and model the data by Gaussian interpolation. This shows that the ambient noise level over the low-frequency range (10-100 Hz) is comparatively flat at about 60 dB; with the frequency increases from 100 to 2560 Hz, the ANL decreased to about 40 dB. We then introduce canonical correlation analysis (CCA) to analyze the potential relation between environmental forcing and the under-ice noise level. The results of CCA indicate that the seawater parameters (including temperature, salinity, and sound velocity) close to the ice-water interface have the greatest influence on the under-ice noise level among all environmental parameters recorded in the air, sea-ice, and seawater. Additionally, the under-ice noise level forced by the environment does not exhibit any particular frequency dependence.

Multivariate analytical approaches for investigating brain-behavior relationships.

Many studies of brain-behavior relationships rely on univariate approaches where each variable of interest is tested independently, which does not allow for the simultaneous investigation of multiple correlated variables. Alternatively, multivariate approaches allow for examining relationships between psychopathology and neural substrates simultaneously. There are multiple multivariate methods to choose from that each have assumptions which can affect the results; however, many studies employ one method without a clear justification for its selection. Additionally, there are few studies illustrating how differences between methods manifest in examining brain-behavior relationships. The purpose of this study was to exemplify how the choice of multivariate approach can change brain-behavior interpretations. We used data from 9,027 9- to 10-year-old children from the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®) to examine brain-behavior relationships with three commonly used multivariate approaches: canonical correlation analysis (CCA), partial least squares correlation (PLSC), and partial least squares regression (PLSR). We examined the associations between psychopathology dimensions including general psychopathology, attention-deficit/hyperactivity symptoms, conduct problems, and internalizing symptoms with regional brain volumes. The results of CCA, PLSC, and PLSR showed both consistencies and differences in the relationship between psychopathology symptoms and brain structure. The leading significant component yielded by each method demonstrated similar patterns of associations between regional brain volumes and psychopathology symptoms. However, the additional significant components yielded by each method demonstrated differential brain-behavior patterns that were not consistent across methods. Here we show that CCA, PLSC, and PLSR yield slightly different interpretations regarding the relationship between child psychopathology and brain volume. In demonstrating the divergence between these approaches, we exemplify the importance of carefully considering the method's underlying assumptions when choosing a multivariate approach to delineate brain-behavior relationships.

Overlapping Segments for State Park Visitors: A Canonical Correlation Analysis of Push-and-Pull Motivation

Market segmentation remains one of the most important approaches used in tourism to provide crucial information regarding visitors’ profiles. Considering the importance of state and national parks to the tourism industry, there is an increasing interest in examining the motivations of park visitors. Drawing on the push-and-pull theoretical framework of tourist motivation, this study employs a canonical correlation analysis and an overlapping segmentation approach to gen-erate market segments of visitors to a state park system in the United States. A total of 2,822 past and current visitors were surveyed and consequently assigned to three overlapping market segments based on the results of canonical correlation analysis. The segments were labeled as “Connecting with Nature,” “Experiential Recreation,” and “Family Bonding.” Specifically, the “Family Bonding” market seg-ment was found to have the most overlap with the other two groups. On the other hand, the segment of “Experiential Recreation” had the least overlap, suggesting that the members of this segment are uniquely defined and display a high degree of homogeneity. Additionally, 75 visitors were found to overlap across all three seg-ments. Such findings suggest that this group of respondents score positively on all motivation items and share the same preferences of state park systems’ attributes. Thus, park managers should refrain from assigning visitors to fit just one segment and target the potential visitors considering the substantial overlapping between groups. The study findings have important practical implications for state park sys-tem managers and provide critical insights to inform future marketing strategies and to improve parks’ offerings.

Association between social support and medication literacy in older adults with hypertension.

Reduced physical function and reduced social networks place older adults with hypertension at high risk for medication-related harm. Medication literacy is one of the preventable factors that affect the success of drug therapy for hypertension. However, little is known about the level of medication literacy and its influencing factors in older adults with hypertension. The purpose of this study was to investigate the levels of social support and medication literacy, and the association between them in older Chinese adult patients with hypertension. A total of 362 older adult patients with hypertension were investigated using a demographic characteristics questionnaire, the Chinese Medication Literacy Scale for Hypertensive Patients (C-MLSHP) and the Social Support Rating Scale (SSRS). Pearson correlation analysis, canonical correlation analysis (CCA) and hierarchical linear regression were used to analyse the relationship between social support and medication literacy. Our results showed that the mean scores for the C-MLSHP and the SSRS for older adult patients with hypertension were 23.89 (SD = 4.66) and 39.22 (SD = 5.53), respectively. The results of the Pearson correlation analysis suggested that the score for social support was positively correlated with the score for medication literacy (r = 0.431, P < 0.01). The results of CCA demonstrate that older adult patients with hypertension who had more subjective (r s = 0.682) and objective support (r s = 0.817) performed better in knowledge (r s = 0.633), skills (r s = 0.631) and behavior literacy (r s = 0.715). Hierarchical linear regression indicated that two dimensions of subjective support (B = 0.252, P < 0.001) and objective support (B = 0.690, P < 0.001) in social support were found to be independent predictors of medication literacy (R2 = 0.335, F = 19.745, P < 0.001). Social support is positively associated with medication literacy in older Chinese adult patients with hypertension. The study highlights the importance of social support in promoting medication literacy among older adult patients with hypertension.

The role of psycholinguistics for language learning in teaching based on formulaic sequence use and oral fluency.

Psycholinguistics has provided numerous theories that explain how a person acquires a language, produces and perceives both spoken and written language, including theories of proceduralization. Learners of English as a foreign language (hereafter referred to as EFL learners) often find it difficult to achieve oral fluency, a key construct closely related to the mental state or even mental health of learners. According to previous research, this problem could be addressed by the mastery of formulaic sequences, since the employment of formulaic sequences could often promote oral fluency in the long run, reflected in the positive relationship between formulaic sequence use and oral fluency. However, there are also findings contradicting the abovementioned ones, without adequate explanations. This study aims to explore the roles of formulaic sequences in oral fluency, taking into account the relationship between formulaic sequence use and oral fluency. This study investigated 120 pieces of spoken narratives by Chinese EFL learners, using both quantitative and qualitative methods, combined with artificial intelligence techniques. Results of canonical correlation analysis showed that the frequency of formulaic sequences was significantly related to speed fluency (r = 0.563, p = 0.000) and breakdown fluency (r = 0.360, p = 0.001), while the variety of formulaic sequences was significantly related to repair fluency (r = 0.292, p = 0.035). Case studies further demonstrated that formulaic sequences could contribute to oral fluency development by promoting speed and reducing pausing when retrieved holistically, but they sometimes lost processing advantages when retrieved and processed in a word-by-word manner. The inappropriate use of formulaic sequences also neutralized the facilitative effects of formulaic sequences on repair fluency and could mirror speakers’ occasional tendency to sacrifice repair fluency for the improvement of speed and breakdown fluency when using formulaic sequences. Pedagogical implications were provided accordingly to promote sustainable oral fluency development through the use of formulaic sequences.

Modeling, accounting and control of formation and use of resources (on the example of the construction industry)

The aim of the article was to build analytical models in the construction industry based on the analysis of its economic indicators and the use of positive foreign experience, as well as by identifying opportunities to optimize resources using better accounting and control systems. The achievement of the goal was based on the results of canonical correlation analysis. Its application allowed us to conclude that there is a long time lag (5 years) of making strategic management decisions on the formation and use of resources in construction companies and their results. This is due to the significant duration of construction work and the frequent commissioning of residential premises with a delay of 1-2 years due to political, economic, financial and other problems. Based on the analysis of Ukrainian and international experience in accounting and control over the formation and use of resources, proposals have been developed for the use of flexible schedules for the supply of material and technical resources using the latest information and computer technology (ICT), work calendars (desktop, wall) and electronic devices with reminders of dates of payment of invoices of suppliers and contractors, dates and forms of financial and administrative reporting, etc. The object of research is the process of complex interaction of accounting, control, analysis and modeling to ensure effective management of material, technical and financial resources of construction companies in 24 regions of Ukraine, European and other countries. The subject of research is the theoretical and practical principles of application of modeling and analysis in accounting and control over the formation and use of material, technical and financial resources of construction companies. It is revealed that the enterprises of the construction industry of Ukraine, many European countries and countries of other continents do not fully use the existing potential of the latest information and computer technologies and modern modeling methods for the organization and optimization of business processes; establishing logistical links between business partners; systems for managing the processes of supply, warehousing, construction production, marketing; reducing costs at all stages of the life cycle of construction products. Based on this, two hypotheses are derived, the first of which indicates the potential of construction companies to effectively carry out financial and management accounting, internal control; to put construction objects into operation quickly, efficiently and in a timely manner. The second hypothesis points to the fact that construction companies for various reasons violate the procedure for accounting for resources, do not perform planned measures of internal control; allow disruptions of construction processes and terms of commissioning of construction objects; allow the lack and misuse of material and financial resources. The practical application of proposals to optimize the use of resources modeled in the research process and proposed ways to improve the efficiency of information and computer technology can be effectively implemented to ensure business processes in construction, in particular the implementation of logistics in the search and delivery of resources. construction projects and warehouses. This will significantly reduce the cost of accounting and control support of construction work, without reducing their quality and timeliness.

Effect of activation of Toll-like receptor signaling pathway of peripheral blood mononuclear cell in recombinant hepatitis B surface antigen immune response

Objective: To explore the effect and mechanism of activation of peripheral blood mononuclear cell (PBMC) Toll-like receptor (TLR3) signaling pathway in recombinant HBsAg (rHBsAg) immune response. Methods: White blood cells were collected from peripheral blood of 13 healthy donors in the preparation of blood products. PBMC was isolated and treated with Poly I:C (Poly I:C group) and PBS (control group) respectively. 48 h later, some cells were collected and the expressions of TLR3 signaling pathway proteins were detected by flow cytometry. After activating (Poly I:C group)/inactivating (control group) TLR3 signaling pathway, rHBsAg was given to both groups for 72 h, and the proportions of DC, T, B cells and their subsets in PBMC were detected by flow cytometry. Paired t-test, paired samples wilcoxon signed-rank test and canonical correlation analyses were used for statistical analysis. Results: The percentage of TLR3 protein-positive cells (19.21%) and protein expression (8 983.95), NF-κB protein expression (26 193.13), the percentage of pNF-κB protein-positive cells (13.73%) and its proportion in NF-κB (16.03%), and the percentage of pIRF3 protein-positive cells (12.64%) and its proportion in IRF3 (21.80%) in Poly I:C group were higher than those in control group (11.54%, 8 086.00, 22 340.66, 8.72%, 9.71%, 9.57%, 19.12%) (P<0.05), and the percentage of TRIF protein-positive cells (89.75%) and protein expression (304 219.54) were higher in Poly I:C group than in the control group (89.64%, 288 149.72) (P>0.05). After PBMC stimulation by rHBsAg, the proportions of mDC (2.90%), pDC (1.80%), B cell (5.31%) and plasma cell (67.71%) in Poly I:C group were significantly higher than those in the control group (1.83%, 0.81%, 4.23%, 58.82%) (P<0.05). Results of canonical correlation analysis showed that the expression of TLR3 protein was positively correlated with the proportions of plasma cells, the expression of pIRF3 protein was positively correlated with the proportions of plasma cells and mDC, and the percentage of pNF-κB protein-positive cells and the percentage of pIRF3 protein-positive cells were positively correlated with the proportion of CD4+T cells. Conclusions: Poly I:C can activate TLR3/TRIF/NF-κB and TLR3/TRIF/IRF3 signaling pathway, promote the function of downstream signaling molecules, and then promote the maturation of DC, induce the immune responses of CD4+T cell, and promote the maturation and activation of B cells and the immune response of rHBsAg.

Quality Status Analysis and Intrinsic Connection Research of Growing place, Morphological Characteristics, and Quality of Chinese Medicine: Cyperi Rhizoma (Xiangfu) as a Case Study.

Materials and Methods The macroscopic characteristics of CR as well as its moisture, ethanol extract, essential oil, total ash, and acid-insoluble ash contents were examined and calculated. In addition, qualitative identification and quantitative determination of α-cyperone, cyperotundone, and nootkatone were simultaneously performed, and a high-performance liquid chromatography (HPLC) fingerprint chromatogram was established. Inductively coupled plasma mass spectrometry and gas chromatography methods recorded in ChP were used to measure the contents of residues of heavy metal and deleterious elements as well as residues of organochlorine pesticide, respectively. Hierarchical cluster analysis and typical canonical correlation analysis were performed using Origin 9.1 and SPSS 23.0 to explore the correlation between CR's growth area, morphological characteristics, and quality. Results Of the 47 batches of CR analyzed, only 4 collected from the province of Shandong had a flat appearance, which did not accord with the macroscopic characteristics of CR. Overall, only 4 batches met ChP standards for CR. In addition, 30 and 38 batches did not meet the requirements for moisture content and essential oil content, respectively. The similarity values of HPLC fingerprints ranged from 0.568 to 0.986. Results of hierarchical cluster analysis for ethanol extracts, essential oil, α-cyperone, cyperotundone, and nootkatone and the HPLC fingerprints (total peak time and peak area) suggested that the samples could be classified into four clusters, with no significant difference in growth geographic areas among them. Results of canonical correlation analysis indicated that the first canonical pair could represent the correlation between macroscopic characteristics (vector 1) and chemical quality (vector 2), with shorter diameter and length denoting lower ethanol extract content and higher nootkatone content in a single grain of CR. Conclusions Crude medicinal materials were collected and examined in this study to reflect the overall quality status of CR in China. The methods chosen to detect, calculate, and analyze the quality of CR were suitable to the investigation, and the results are crucial not only for estimating the current quality status of CR, but also for conducting further research into its cultivation, quality assurance, and commodity specification. Besides, this mode of investigation could be used to evaluate other medicines.

Relation of Three Phenomena: Cyberloafing, Creativity, and Stress

In parallel with increasing computer and internet usage at the workplace, employees’ internet usage for personal purposes, that is cyberloafing, has intensified. Advancements in information technologies introduced intense competition and organizations have attached greater importance to their employees’ creativity. Fast-paced developments, intensified competition, and employees’ efforts for higher creativity have let them encounter stress. In this regard, the present study aims to investigate the relationship between cyberloafing, creativity, and stress. The study was conducted on 408 faculty members of public universities in Kosovo by using the Canonical Correlation Analysis (CCA). As CCA results show, there is a significant relationship between cyberloafing and creativity and also a significant relationship between cyberloafing and stress.

Investigation on the Q-markers of Bushen Huoxue Prescriptions for DR treatment based on chemometric methods and spectrum-effect relationship

Ethnopharmacological relevanceDiabetic retinopathy (DR) is a kind of complex complication of late diabetes mellitus with high incidence and risk of blindness. Bushen Huoxue Prescription (BHP), which consists of Rehmanniae radix (RR), Salviae miltiorrhizae radix et rhizoma (SMRR), Ginseng radix et rhizome (GRR) and Puerariae lobatae radix (PLR), has an active effect on the treatment of DR. However, the quality markers (Q-markers) of BHP are not entirely clear. PurposeThis study aimed to screen the Q-markers of BHP for DR treatment based on the establishment of spectrum-effect relationship and verified experiment. Materials and methodsIn this study, 12 BHP samples (S1–S12) for fingerprint analysis and pharmacological evaluation were prepared according to a four-factor and twelve-level uniform design. High performance liquid chromatography-ultraviolet detector-evaporative light scattering detector (HPLC-UV-ELSD) was employed to analyze the fingerprint on the basis of the characteristics of BHP components. The evaluation of sample similarity was carried out by similarity analysis (SA) and hierarchical cluster analysis (HCA). The pharmacological indicators, including expression of vascular endothelial growth factor (VEGF) and hypoxia-inducible factor-1α (HIF-1α) in the retina of Sprague Dawley (SD) rats induced by streptozotocin (STZ), were detected by enzyme-linked immunosorbent assay (ELISA). Besides, the spectrum-effect relationship between common peaks of fingerprints and the pharmacological results was investigated by partial least squares regression (PLSR) and canonical correlation analysis (CCA). The results of spectrum-effect relationship were verified by the expression of VEGF and HIF-1α on primary culture retinal Müller cells induced by hyperglycemia and hypoxia. ResultsIn the HPLC-UV-ELSD fingerprint, 23 common peaks in UV and 14 common peaks in ELSD were identified. The pharmacological results indicated that the expression of VEGF and HIF-1α in the retina of SD rats was inhibited by 12 BHP samples to varying degrees compared with the model group. Based on SA and heatmap of HCA, S4 and S8 were clearly distinguished from other samples. The results of PLSR and CCA revealed that the contents of puerarin, daidzin, salvianolic acid B and ginsenoside Rb1 were inversely correlated with the expression of VEGF and HIF-1α. Hence, the four compounds may be the main active components to prevent and treat DR. The results of intervention on primary culture retinal Müller cells showed that puerarin, daidzin, salvianolic acid B, and ginsenoside Rb1 can significantly inhibit the expression of VEGF and HIF-1α. ConclusionsThe spectrum-effect relationship of BHP was successfully established, and the Q-markers of BHP for the prevention and treatment of DR were preliminarily confirmed. It provides a feasible method for the research of quality control.

Insight into temporal\u2013spatial variations of DOM fractions and tracing potential factors in a brackish-water lake using second derivative synchronous fluorescence spectroscopy and canonical correlation analysis

BackgroundInsight into temporal–spatial variations of dissolved organic matter (DOM) fractions were undertaken to trace potential factors toward a further understanding aquatic environment in Lake Shahu, a brackish-water lake in northwest China, using synchronous fluorescence spectroscopy (SFS) combined with principal component analysis (PCA), second derivative and canonical correlation analysis (CCA).ResultFive fluorescence peaks were extracted from SFS by PCA, including tyrosine-like fluorescence (TYLF), tryptophan-like fluorescence (TRLF), microbial humic-like fluorescence (MHLF), fulvic-like fluorescence (FLF), and humic-like fluorescence (HLF), whose relative contents were obtained by second derivative synchronous fluorescence spectroscopy. The increasing order of total fluorescence components contents was July (11,789.38 ± 12,752.61) < April (12,667.58 ± 15,246.91) < November (19,748.87 ± 17,192.13), which was attributed to tremendous enhancement in TYLF content from April (1615.56 ± 258.56) to November (5631.96 ± 634.82). The PLF (the sum of TYLF and TRLF) dominated the fluorescence components, whose proportion was 40.55, 37.09, or 46.91% in April, July, or November. DOM fractions in November were distinguished from April and July, which could be attributed to that water of the Yellow River was continuously loaded into the lake as water replenishment from April to September. From the replenishment period to non-replenishment, the contents of the five components gradually changed from low in the middle and high around the lake to high throughout entire lake. Based on the CCA results, the potential factors included TYLF, TRLF, MHLF, SD, and BOD5 in April, which were relative to organic matter pollution. The potential factors contained TYLF, TRLF, FLF, Chl-a, TP, CODCr, and DO in July, indicating the enrichment of TP lead algae and plants growth. The potential factors in November consisted of TYLF, TRLF, CODCr, SD, TN, and FLF, representing residue of the algae and plants have been deeply degraded.ConclusionThe replenishment of water led to enrichment of TP, resulting in growth of algae and plants, and was the key factor of water quality fluctuations. This work provided a workflow from perspective of DOM to reveal causes of water quality fluctuations in a brackish-water lake and may be applied to other types of waterbodies.

Diversity and distribution of Sophora davidii rhizobia in habitats with different irradiances and soil traits in Loess Plateau area of China

To investigate the diversity and distribution of rhizobia associated with Sophora davidii in habitats with different light and soil conditions at the Loess Plateau, we isolated rhizobia from root nodules of this plant grown at 14 sites at forest edge or understory in Shaanxi Province. Based on PCR-RFLP and phylogenies of 16S rRNA gene, housekeeping genes (atpD, dnaK, recA), and symbiosis genes (nodC and nifH), a total of 271 isolates were identified as 16 Mesorhizobium genospecies, belonging to four nodC lineages, and three nifH lineages. The dominance of M. waimense in the forest edge and of M. amorphae/Mesorhizobium sp. X in the understory habitat evidenced the illumination as a possible factor to affect the diversity and biogeographic patterns of rhizobia. However, the results of Canonical Correlation Analysis (CCA) among the environmental factors and distribution of rhizobial genospecies illustrated that soil pH and contents of total phosphorus, total potassium and total organic carbon were the main determinants for the community structure of S. davidii rhizobia, while the illumination conditions and available P presented similar and minor effects. In addition, high similarity of nodC and nifH genes between Mesorhizobium robiniae and some S. davidii rhizobia under the forest of Robinia pseudoacacia might be evidence for symbiotic gene lateral transfer. These findings firstly brought an insight into the diversity and distribution of rhizobia associated with S. davidii, and revealed illumination conditions a possible factor with impacts less than the soil traits to drive the symbiosis association between rhizobia and their host legumes.

Responses of photosynthesis and P/Fe traits to P application in soybean under stress of low Fe.

We examined the effects of phosphorus (P) levels on photosynthetic and P/Fe traits of soybean under the stress of low Fe and their genotypic differences, to provide a theoretical basis for rational application of P and Fe fertilizer. Six P-efficient and six P-inefficient soybean varieties screened in the early stage were used as experimental materials. Four treatments of P:Fe ratio were set, including 0:30, 30:30, 150:30 and 300:30 (μmol·L-1). We measured chlorophyll fluorescence traits and P-Fe utilization efficiency in soybean. A stepwise regression equation was established with seed weight per plant. Pathway analysis was performed, with the response of P-efficient and P-inefficient soybean genotypes to different P:Fe treatments being comprehensively evaluated by factor scores. The results showed significant main and interactive effects of genotype and P:Fe on the relative electron transfer rate of photosystem Ⅱ (ETR) at beginning of flowering stage (R1), the proportion of the energy absorbed by photosystem Ⅱ dissipated into heat (NPQ) at R1 stage, and proportion of energy absorbed by photosystem Ⅱ devoted to the photochemical reaction (qL) at R1 stage. Results of canonical correlation analysis showed a negative correlation between P utilization efficiency of seed at full maturity stage (R8) and photosynthetic rate at R1 stage of P-efficient genotypes. Seed Fe utilization efficiency of P-inefficient genotypes at R8 stage was positively correlated with NPQ at R1 stage, but negatively correlated with qL at R1 stage. The actual photochemical efficiency of PSⅡ (ΦPSⅡ) at R1 stage was negatively correlated with P-efficient genotypes, but positively correlated with P-inefficient genotypes, which indicated that ΦPSⅡ at R1 stage was an important indicator for identifying soybean genotypes with different P efficiency under stress of low Fe. The comprehensive performance of P-efficient soybean genotypes decreased first and then increased with P level, while P-inefficient soybean genotypes increased first and then decreased. The inflection point of both genotypes appeared in P:Fe of 30:30. Thus, P:Fe ratio of 30:30 could be used as a threshold to identify soybean genotypes with different P efficiency under stress of low Fe. In conclusion, P fertilizer application should be equal to or greater than 1:1 (P:Fe) when planting P-efficient soybean genotypes in low Fe area, while P fertilizer application should not exceed 1:1 (P:Fe) when planting P-inefficient soybean genotypes.

THE RELATIONSHIP OF THE BLOOD PRESSURE VARIABILITY AND HEART RATE VARIABILITY: A CANONICAL CORRELATION STUDY

Objective: To determine the association of the blood pressure variability (BPV) and heart rate variability (HRV) derived from ambulatory blood pressure monitoring (ABPM). Design and method: 2886 patients who perfected the 24 hours ABPM from September 2018 to January 2020 were enrolled and we performed Pearson correlation analysis and Canonical correlation analysis (CCA) to identify the relationship of the dynamic blood pressure (BP) and heart rate (HR) in singer variable aspect and whole set of variate respect, respectively. Results: Pearson correlation analysis described the strong connection between the mean value of the systolic and diastolic BP and average value of HR during nighttime and morning surge(r = 0.438,0.475,0.504,0.547,P-value less than 0.01).Results of CCA showed a canonical correlation of 0.934 in the first canonical pair (P-value less than 0.01). Moreover, standard canonical coefficient marked the mean value of BP and HR with the largest efficiency compared to maximum, minimum and standard deviation. The value of BP and HR during nighttime and morning surge with loading approaching 0.5 are key factor of their own variable set. The nighttime average systolic BP attached importance to HRV set and nighttime HR mean value to BPV set(crossing loading:0.533,0.504).Redundancy analysis represent the total interpretative quantity of 12 valued correlation of BPV and HRV set are 58.3% and 90.4%.Whereas,14.6% and 18.8% are the total redundancy accounted by the opposite variable set. In addition, the association more than the reference substance comprising of age and gender. Conclusions: With regard to the result of 24 hours ABPM, we cannot neglect the circadian rhythms and tight relationships of BPV and HRV. To better manage the BP and autonomic nervous function, respectively, mitigating the mean value of the BP and HR during nighttime and morning surge should be put on the agenda.

Role of the neuroendocrine complex in immunotropic effects of nitrogenous metabolites in rats

Background. We have previously shown that nitrogenous metabolites have immunomodulatory effects, both suppressor and enhancing, both in healthy rats and in humans exposed to pathogenic influences. The immunomodulatory effect of bilirubin is probably mediated through aryl hydrocarbon receptors, and uric acid through TL- and adenosine receptors of immune cells. The question of mediators of the immunomodulatory action of urea and creatinine remains open. We hypothesized the mediating role of mediators of the autonomic nervous system and adaptive hormones. The aim of this study is to analyze the relationships between the parameters of nitrogenous metabolites and the parameters of the autonomic nervous and endocrine systems, on the one hand, and between neuroendocrine and immune parameters - on the other hand. Material and methods. Experiment was performed on 60 healthy female Wistar rats. The plasma levels and urinary excretion of the nitrogenous metabolites, HRV and endocrine (corticosterone, triiodothyronine and testosterone plasma levels, calcitonin, parathyroid and mineralocorticoid activities, the thickness of glomerular, fascicular, reticular and medullar zones of adrenals) parameters as well as parameters of immunity were determined. Results. According to the results of canonical correlation analysis, the modulating effects of nitrogenous metabolites on neuroendocrine parameters are quite pronounced and almost identical in terms of bilirubin (R=0,603), creatinine (R=0,602), uric acid (R=0,599) and urea (R=0,586). Taken together, nitrogenous metabolites determine neuroendocrine parameters by 71,5% (R=0,845; χ2(84)=179; p&lt;10-6). Triiodothyronine, fascicular and medullar areas of the adrenal glands, vagal tone and calcitonin activity were the most susceptible to nitrogenous metabolites. In turn, neuroendocrine parameters determine the parameters of immunity, subject to exposure to nitrogenous metabolites, by 95,8% (R=0,979; χ2(264)=405; p&lt;10-6). Conclusion. Previously identified immunomodulatory effects of nitrogenous metabolites are realized, perhaps, through the factors of the autonomic nervous and endocrine systems.

Characteristics of tropical mangrove soils and relationships with forest structural attributes in the northern coast of Sri Lanka

Sri Lanka is a tropical island biodiversity hotspot with luxurious yet extremely vulnerable mangrove vegetation encompassing its coastline. The country has been a pioneer in mangrove conservation and rehabilitation since the unfortunate Indian Ocean tsunami disaster incident in 2004. Still, most mangrove restoration efforts have failed primarily because of a poor understanding of environment–vegetation interactions in local mangrove settings. The current study examined the vegetation structure, and soil chemical properties of Vidattaltivu mangrove forest, a complex coastal ecosystem on the northern coast of Sri Lanka characterized by dry climatic conditions. We employed several statistical approaches, namely simple correlation, generalized linear models (GLM), principal component analysis (PCA), and canonical correlation analysis (CCA), to understand soil–vegetationinteractions. Results indicated Vidattaltivu as a growing secondary mangrove forest, and soil salinity and nutrients showed to be the main drivers of the variability in mangrove vegetation structure and composition. The performance of most mangrove species (i.e., stand basal area and biomass) declined with increasing soil salinity, whereas Avicennia marina thrived at high salinities. Results of PCA and subsequent CCA suggested that mangrove soil and vegetation exist in a reciprocating multivariate system. Soil pH, salinity, organic matter, K, Mg, Ca, Cu, Ni, Zn, and Mn were identified as fundamental soil chemical properties that preserve and support mangrove vegetation. In return, tree density, tree height, stand basal area, tree biomass, and vegetation complexity sustained the soil as primary forest structural attributes.

Relationships between anthropometric measurements, muscle strength and body awareness.

Most studies on body awareness offer data on assessment and treatment in disease situations. The aim of this study is to investigate the relationship between anthropometric measurements and body awareness level of healthy people. The study was carried out with 289 volunteer students between the ages of 18-25 who studied at university. Anthropometric measurements included height, weight, circumference measurements and measurement rates, skinfold thicknesses. In addition, grip strength and lower limb muscle strength was evaluated. The level of body awareness was evaluated by the Body Awareness Questionnaire. The mean age of the participants included in the study was 19.34 ± 1.48. Sixty five percent were female and 35% were male. A negative correlation was found between body weight and body awareness level (p = 0.02). According to the results of canonical correlation analysis, the model created with circumference measurement rates and sub-dimensions of the Body Awareness Questionnaire was found significant. There was significantly correlated between the changes in the body process and attention to responses, which are sub-dimension, and total right measurement of the lower limb (r:0.124; p: 0.035). In addition, there was a significant relationship between sleep-wakefulness cycle and waist-to-thigh ratios (r:- 0.172; p: 0.003). Our study showed that body awareness is directly related to body weight, lower limb circumference measurements, and waist-to-thigh ratio. These data revealed the effect of body awareness on anatomical structures.

Stability test of canonical correlation analysis for studying brain-behavior relationships: The effects of subject-to-variable ratios and correlation strengths.

Canonical correlation analysis (CCA), a multivariate approach to identifying correlations between two sets of variables, is becoming increasingly popular in neuroimaging studies on brain‐behavior relationships. However, the CCA stability in neuroimaging applications has not been systematically investigated. Although it is known that the number of subjects should be greater than the number of variables due to the curse of dimensionality, it is unclear at what subject‐to‐variable ratios (SVR) and at what correlation strengths the CCA stability can be maintained. Here, we systematically assessed the CCA stability, in the context of investigating the relationship between the brain structural/functional imaging measures and the behavioral measures, by measuring the similarity of the first‐mode canonical variables across randomly sampled subgroups of subjects from a large set of 936 healthy subjects. Specifically, we tested how the CCA stability changes with SVR under two different brain‐behavior correlation strengths. The same tests were repeated using an independent data set (n = 700) for validation. The results confirmed that both SVR and correlation strength affect greatly the CCA stability—the CCA stability cannot be guaranteed if the SVR is not sufficiently high or the brain‐behavior relationship is not sufficiently strong. Based on our quantitative characterization of CCA stability, we provided a practical guideline to help correct interpretation of CCA results and proper applications of CCA in neuroimaging studies on brain‐behavior relationships.