Low Correlation Research Articles

A Quad‐Port MIMO Antenna With Improved Isolation Developed by Colored Resin Fiber Material for Wideband Applications

ABSTRACTThe article explores a quad‐port compact (56 × 56 × 1.5 mm3) multiple‐input multiple‐output (MIMO) antenna developed on a colored resin fiber material encompassing enhanced isolation for wideband applications. The design antenna configuration incorporates four ground stubs positioned among antenna pairs on the upper section of the substrate and eight rectangular‐shaped ground slots to enhance antenna isolation. The antenna functions over a broad spectral range from 4.21 to 10.95 GHz, providing coverage for WLAN (5.15–5.35 GHz/5.725–5.825 GHz), C band uplink (5.925–6.425 GHz), downlink defense (7.2–7.7 GHz), and ITU band (8–8.5 GHz), with 88.91% fractional bandwidth. The antenna design ensures exceptional isolation, exceeding 21 dB among orthogonal antennas and 25 dB between oppositely placed antennas across the entire functioning bandwidth. Across the working band, the antenna showcases favorable diversity characteristics, including a lower envelope correlation coefficient (ECC < 0.085), higher diversity gain (DG > 9.95 dB), minimal channel capacity loss (< 0.39 bits/s/Hz), and negligible magnitude variation in mean effective gain among the antenna ports (< 0.1 dB). The acquired total active reflection (TARC) curve exhibits the antenna's robust resonance features over the application band and commendable time domain properties in the active spectral region. The findings of the simulation and measurements revealed a close alignment.

Primary School Students’ Relations to Physical Education in Northern Norway: Why Do Some Find the Subject Problematic?

A global discourse surrounding physical education (PE) is shifting towards a stronger emphasis on inclusive practises, but research shows that some students still find the subject problematic. This study explores the relationship between students’ dread of physical education (PE) and overall school satisfaction among sixth graders in Tromsø Municipality, Norway, and identifies factors that might explain this relationship. Data were collected from 338 sixth-grade students, with an 85.5% response rate. In this study, we investigate through quantitative analyses whether there is a correlation between students dreading PE and their overall school satisfaction. We find a relatively low correlation between these factors, indicating that dreading PE may be related to factors beyond general school satisfaction. Three significant predictors of students’ apprehension towards PE were identified: self-confidence and self-esteem, discomfort in changing into gym clothes in communal locker rooms, and reluctance to collaborate indiscriminately with peers. These factors could indicate a performance-oriented climate, which contrasts with the mastery-oriented approach emphasised in the national curriculum. The findings highlight the need for PE to be taught in a way that aligns more closely with the curriculum. This study suggests that addressing these issues requires educators who are formally trained to foster a supportive and motivating environment and calls for further research into the translation of curriculum objectives into teaching practises.

Effect of Integrated Crop–Livestock Systems on Soil Properties and Microbial Diversity in Soybean Production

Integrated crop and livestock systems (ICLSs) have been considered an important management-based decision to improve soil health by carbon sequestration. A two-year study (2019–2021) at CPBES in Newton, MS, was conducted to evaluate the effect of an ICLS on soil microbial diversity in the southeastern region of the USA, representing agroclimatic conditions that are warm and humid. Amplicons targeting bacterial 16S rRNA genes and fungal ITS2 regions were sequenced. Taxonomic assignment and characterization of microbial diversity were performed using QIIME2®. Soil fungal diversity pattern showed significant difference (alpha diversity, p = 0.031 in 2020 and beta diversity, p = 0.037 in 2021). In contrast, no significant differences were observed in bacterial diversity. However, there were several beneficial bacterial phyla, such as Proteobacteria and Actinobacteria, and fungal phyla such as Ascomycota, which were dominant in both years and did not show significant differences due to cover crop treatments. Canonical Correspondence Analysis (CCA) and Mantel test showed significant influence on fungal diversity due to carbon (rm = 0.2581, p = 0.022), nitrogen (rm = 0.2921, p = 0.0165), and electrical conductivity (rm = 0.1836, p = 0.0583) in 2021, and on bacterial diversity due to EE-GRSP (rm = 0.22, p = 0.02) in 2020. However, the results showed that there were no significant differences between the cover crop treatments that were consistent over a two-year study period. However, the mix of different cover crops such as oats (Avena sativa L.), crimson clover (Trifolium incarnatum L.), and tillage radish (Raphanus sativus L.) demonstrated higher positive correlation and lower negative correlation with different bacterial and fungal phyla. Long term study of ICLS is suggested to understand the shift in microbiome that would help in understanding the role of cover crops and grazing in improving crop production sustainably.

Ground motion characteristics induced by high-magnitude events with different source mechanisms of longwall mining

Rockbursts have become one of the most serious hazards in underground mines worldwide. While the characteristics of ground motions before rockbursts (or high-magnitude events (HMEs)) have not been studied. In this study, the peak ground velocity (PGV) and cumulative absolute displacement (CAD) before HMEs were examined based on seismic monitoring in a coal mine. It’s found that the source mechanisms vary significantly across different zones of the longwall, attributed to the low correlation between rock fracture types, stress levels, and seismic intensity. This correlation is mainly related to the distribution of primary fractures within the rock mass. The non-overlap of CAD peak with HME and the induction of delayed rockbursts are mainly caused by the unavoidable creep and additional energy input into the coal mass under disturbances before instability. The energy conversion process of the entire system is determined to be controlled by the stiffness ratio between the roof-floor system and the loaded coal, in accordance with the concept of dynamic and static load superposition. A high static load, strong dynamic disturbances, and a low rigidity ratio between surrounding rock and coal are identified as the most hazardous factors.

Development and validation of a measurement tool to assess student perceptions of using real patients in physical therapy education at the Rocky Mountain University, the United States: a methodological study.

This study aimed to develop and validate the Student Perceptions of Real Patient Use in Physical Therapy Education (SPRP-PTE) survey to assess physical therapy student (SPT) perceptions regarding real patient use in didactic education. This cross-sectional observational study developed a 48-item survey and tested the survey on 130 SPTs. Face and content validity were determined by an expert review and Content Validity Index (CVI). Construct validity and internal consistency reliability were determined via exploratory factor analysis (EFA) and Cronbach's Alpha. Three main constructs were identified (Value, Satisfaction, and Confidence), each having 4 subconstruct components (Overall, Cognitive, Psychomotor, and Affective Learning). Expert review demonstrated adequate face and content validity (CVI = 96%). The initial EFA of the 48-item survey revealed items with inconsistent loadings and low correlations, leading to the removal of 18 items. An EFA of the 30-item survey demonstrated 1-factor loadings of all survey constructs except Satisfaction and the entire survey. All constructs had adequate internal consistency (Cronbach's Alpha > 0.85). The SPRP-PTE survey provides a reliable and valid way to assess student perceptions of real patient use. Future studies are encouraged to validate the SPRP-PTE survey further.

A Novel Cell- and Virus-Free SARS-CoV-2 Neutralizing Antibody ELISA Based on Site-Specific Labeling Technology.

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the global spread of coronavirus disease 2019 (COVID-19), creating an urgent need for updated methods to evaluate immune responses to vaccines and therapeutic strategies. In this study, we introduce a novel cell-free, virus-free SARS-CoV-2 neutralizing antibody ELISA (NAb-ELISA), which is based on competitive inhibition of the receptor binding domain (RBD) of spike protein binding to the angiotensin-converting enzyme 2 (ACE2) receptor. In this method, site-specific biotinylated hACE2-Fc-Avi recombinant protein is immobilized onto a 96-well plate for capture, and the RBD-Fc-vHRP recombinant proteins serve as detection probes. Evaluation of sera from wild type (WT) or Delta RBD-immunized mice using the NAb-ELISA and pseudovirus neutralization tests (pVNTs) demonstrated strong correlations between assays (R2 = 0.91 and 0.90 for the WT and Delta groups, respectively). Additionally, the NAb-ELISA successfully detected cross-neutralizing activity in sera, though with slightly lower correlation to pVNT (R2 = 0.70-0.83). By employing NAb-ELISA instead of an indirect ELISA for hybridoma screening, five monoclonal antibodies (mAbs) with neutralizing activities against WT, Delta, and BA.2 pseudoviruses were obtained. This assay offers a straightforward, rapid, and safe approach to characterizing vaccine-induced antibody responses and mAb neutralization activity. Notably, the NAb-ELISA platform can be quickly adapted to assess neutralizing antibody responses against emerging mutant strains, addressing the rapid mutation of the virus.

Design characteristics of integrated surveillance of antimicrobial resistance at the human, animal, and environment interfaces

Abstract Efforts have been made to strengthen national and global antimicrobial resistance (AMR) surveillance programs by integrating data collection across the human, animal, and environmental sectors. We searched the literature to review published studies reporting the implementation of integrated AMR surveillance approaches, and we identified a total of 96 articles from 36 countries published from 2000 to 2022, which met our inclusion criteria. Standard review protocols were applied in our study. Out of 96 studies, 47 (49%) articles integrated AMR analysis from human and animal (HA) populations, 24 (25%) considered human, animal, and environmental (HAE) samples together, 11 (12%) studies included animal and environment (AE) samples, and 12 (13%) integrated human and environmental (HE) surveillance. Human isolate-based and animal isolate-based surveillance were the most common study designs (38, 52.8%), with the remainder applying human case-based and isolate-based for animal populations (32, 44.4%). Finally, our results demonstrate that AMR studies on E. coli revealed a lower correlation between human and animal AMR prevalence compared to Salmonella spp. and Campylobacter spp. studies. Different aspects of surveillance design were associated with the level of correlation of AMR prevalence between sectors. Our study found that while global efforts for integrated AMR surveillance have increased in the past 10 years, significant variation exists between studies with regard to the epidemiological and laboratory aspects of their surveillance designs. Our findings indicate that to enable the generation of comparable epidemiological data across countries and sectors, there is a need for the development of a global protocol to support the design of surveillance programs that aim to conduct integrated surveillance of AMR.

Estimating an adjusted risk difference in a cluster randomized trial with individual-level analyses.

In cluster randomized trials (CRTs) with a binary outcome, intervention effects are usually reported as odds ratios, but the CONSORT statement advocates reporting both a relative and an absolute intervention effect. With a simulation study, we assessed several methods to estimate a risk difference (RD) in the framework of a CRT with adjustment on both individual- and cluster-level covariates. We considered both a conditional approach (with the generalized linear mixed model [GLMM]) and a marginal approach (with the generalized estimating equation [GEE]). For both approaches, we considered the Gaussian, binomial, and Poisson distributions. When considering the binomial or Poisson distribution, we used the g-computation method to estimate the RD. Convergence problems were observed with the GEE approach, especially with low intra-cluster coefficient correlation values, small number of clusters, small mean cluster size, high number of covariates, and prevalences close to 0. All methods reported no bias. The Gaussian distribution with both approaches and binomial and Poisson distributions with the GEE approach had satisfactory results in estimating the standard error. Results for type I error and coverage rates were better with the GEE than GLMM approach. We recommend using the Gaussian distribution because of its ease of use (the RD is estimated in one step only). The GEE approach should be preferred and replaced with the GLMM approach in cases of convergence problems.

Preparation of Higher Education Students in Ecuador: An Analysis Based on the Knowledge Economy

The knowledge economy has emerged as a key paradigm in global socioeconomic development, highlighting the importance of higher education in the formation of human capital capable of generating, applying and disseminating innovative knowledge. This study aims to evaluate the preparation of higher education students in Ecuador, considering critical variables such as soft skills, perception of the knowledge economy, university-business linkage and internationalization, and their impact on academic training. The methodology employed was quantitative, using a multiple linear regression model to analyze the relationship between the independent variables and the academic formation of a sample of 205 students from two Ecuadorian universities. Advanced statistical techniques were applied to evaluate the significance and impact of each variable. The results indicate that soft skills (r = 0.713, p < 0.01), perception of the knowledge economy (r = 0.602, p < 0.01) and internationalization (r = 0.594, p < 0.01) have a significant and positive impact on academic training. However, university-business linkage showed a lower and non-significant correlation (r = 0.407, p < 0.01). In conclusion, academic training in Ecuador benefits significantly from the development of soft skills, a positive perception of the knowledge economy and internationalization. However, the lack of significant impact of university-business linkages suggests the need for future studies to explore barriers and improve these collaborations. These findings underscore the importance of educational policies that integrate these factors to improve the preparation of students in a global knowledge economy. Received: 16 June 2024 / Accepted: 30 October 2024 / Published: 05 November 2024

Predictive Modeling of Semi-Submersible Floater Motion Using Bi-LSTM Model

Abstract Floating offshore wind turbines (FOWTs) are emerging as a promising renewable energy solution, tapping into the vast wind resources in deep-sea locations. Accurate predictions of heave, pitch, sway, roll, yaw, and surge are essential to ensuring the structural integrity and power generation efficiency of FOWTs. Traditional methods relying on potential flow theory to predict FOWTs’ hydrodynamic responses involve simplifications that may not capture real-world complexities. Although computational fluid dynamics (CFD) simulations offer accuracy, they are computationally expensive. This study explores the use of Bi-directional long-short-term memory (Bi-LSTM) neural networks as an alternative to address computational challenges in predicting FOWTs’ hydrodynamic responses. These networks excel at handling time series data, capturing temporal correlations crucial for understanding FOWT floater motion dynamics. They also effectively capture bidirectional dependencies, enhancing their suitability for this application. The model considers various input parameters, including wave amplitudes, periods, steepness, directions, and floater design characteristics such as stifness, pre-tension, and the free length of mooring lines. The Bi-LSTM model is trained using a subset of the CFD dataset generated for the scaled OC5 semi-submersible platform with mooring, reserving the remainder for validation and testing. The comparison between simulated and predicted motion demonstrated a strong correlation in surge but noticeable discrepancies in heave and pitch. FFT analysis highlighted consistent frequency components but variations in magnitude, suggesting areas for model sensitivity improvement and further investigation into wave interaction dynamics. The correlation coefficients revealed a strong positive correlation for the surge motion, while the heave and pitch motions showed slightly lower correlation coefficients, suggesting better performance in predicting the surge.

Infrared temperature distribution characteristics and state assessment method of sandstone under tension and compression stress

Abnormalities in infrared radiation temperature (IRT) often accompany the loading In this investigation, stress experiments and splitting tests were conducted on sandstone to investigate the IRT characteristics of sandstone under various loading conditions. The results shows that the Maximum Infrared Radiation Temperature (MAXIRT) increases by up to 5 °C, while in splitting tests, the minimum infrared radiation temperature (MINIRT) decreases by approximately 1.5 °C. Compared to the average infrared radiation temperature (AIRT), MAXIRT is more sensitive to compressive stress, whereas (MINIRT) is more responsive to tensile stress. The correlation between IRT indicators and stress were further analyzed. The findings reveal a positive correlation between IRT and compressive stress. At low stress levels, the correlation coefficient fluctuates between −0.4 and 0.6, generally showing low correlation. As stress increases, the correlation coefficient rises, reaching above 0.8, indicating a high correlation. Tensile stress exhibits a negative correlation, with a consistent trend. Additionally, a statistical analysis of the frequency distribution of IRT under different stress conditions was conducted, followed by hypothesis testing. The results demonstrate that the probability distribution of IRT during loading follows a skewed normal distribution. The changes in skewness can be divided into three stages: initial fluctuation, stable variation, and abrupt failure. Under compressive stress, a right-skewed distribution is observed, with skewness exceeding 3.5 before fracture and reaching above 10 near fracture. Under tensile stress, a left-skewed distribution is noted, with skewness reaching −4.5 near fracture. These findings contribute to the assessment of rock stress states and provide early warning information for predicting rock failure.

CONSUMER EDUCATION, FAMILY AND REFERENCE GROUP INFLUENCE IN ASO EBI SELECTION IN SOUTHWEST NIGERIA

In Nigeria, the selection of aso ebi, a traditional attire worn for special occasions, is influenced by various social and familial factors. This study examined the relationship between family influence, reference group influence, and consumer education in the selection of aso ebi in Southwest Nigeria. Two research questions were posed, and two hypotheses were tested at a 0.05 level of significance. A correlational design was employed to collect data from 1200 adult individuals (aged 18 years and above) in the Southwestern geopolitical zone of Nigeria, covering Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo states. A validated, reliable, self-structured questionnaire titled "Consumer Education and Behaviour in the Choice of Aso Ebi Questionnaire (CEBCAQ)" was used for data collection. Data analysis was conducted using Pearson’s r and Fisher's Z statistics. Findings revealed a positive but low correlation between consumer education and both family (r = 0.10) and reference group purchasing behaviour (r = 0.14) in aso ebi selection. The relationship between consumer education and consumer behaviour was significantly stronger among male adults than female adults (rmales = 0.62, rfemales = 0.49, Zcal > Ztab); and significantly stronger among older adults than younger adults (rold =0.59, ryoung = 0.48, Zcal > Ztab). The study concludes that the complex interplay of social pressure, family dynamics, reference groups, and economic factors influencing aso ebi choices aligns with consumer behaviour surrounding clothing articles globally. Future research could explore how consumer education programs may be tailored to target families and address social influences in aso ebi selection.

Investigating genotype by environment interaction for beef cattle fertility traits in commercial herds in northern Australia with multi-trait analysis

BackgroundGenotype by environment interactions (GxE) affect a range of production traits in beef cattle. Quantifying the effect of GxE in commercial and multi-breed herds is challenging due to unknown genetic linkage between animals across environment levels. The primary aim of this study was to use multi-trait models to investigate GxE for three heifer fertility traits, corpus luteum (CL) presence, first pregnancy and second pregnancy, in a large tropical beef multibreed dataset (n = 21,037). Environmental levels were defined by two different descriptors, burden of heat load (temperature humidity index, THI) and nutritional availability (based on mean average daily gain for the herd, ADWG). To separate the effects of genetic linkage and real GxE across the environments, 1000 replicates of a simulated phenotype were generated by simulating QTL effects with no GxE onto real marker genotypes from the population, to determine the genetic correlations that could be expected across environments due to the existing genetic linkage only. Correlations from the real phenotypes were then compared to the empirical distribution under the null hypothesis from the simulated data. By adopting this approach, this study attempted to establish if low genetic correlations between environmental levels were due to GxE or insufficient genetic linkage between animals in each environmental level.ResultsThe correlations (being less than <0.8) for the real phenotypes were indicative of GxE for CL presence between ADWG environmental levels and in pregnancy traits. However, none of the correlations for CL presence or first pregnancy between ADWG levels were below the 5th percentile value for the empirical distribution under the null hypothesis from the simulated data. Only one statistically significant (P < 0.05) indication of GxE for first pregnancy was found between THI environmental levels, where rg = 0.28 and 5th percentile value = 0.29, and this result was marginal.ConclusionsOnly one case of statistically significant GxE for fertility traits was detected for first pregnancy between THI environmental levels 2 and 3. Other initial indications of GxE that were observed from the real phenotypes did not prove significant when compared to an empirical null distribution from simulated phenotypes. The lack of compelling evidence of GxE indicates that direct selection for fertility traits can be made accurately, using a single evaluation, regardless of environment.

Parents’ Participation and Learners’ Educational Achievement

Parents’ participation plays a great role in a child’s learning development. This study sought to determine the relationship between the parents’ participation and learners’ educational achievement. It also identified which independent variable/s singly or in combination influenced the educational achievement of learners. This study used descriptive-correlational and causal design with content analysis. It utilized an adapted and modified questionnaire which was validity and reliability tested. Mean, Standard Deviation, Pearson Product Moment Correlation and Multiple Linear Regression as the statistical tools. The study's respondents were the Grades 4,5 and 6 pupils from Naawan Elementary School, Naawan District of Misamis Oriental Division, who were elected though simple random sampling using Slovin’s Formula. Results reveal that parents are highly involved in all six dimensions namely, parenting, communicating, volunteering, learning at home, decision making and collaborating with community. Parenting as the highest and volunteering as the lowest. Pupils have the Very Satisfactory rating. Parents’ participation has low positive correlation between the pupils’ educational achievement while parenting and decision-making influence the pupils’ educational achievement. Thus, parents may continue to be involved in their children’s education and teachers may sustain parental participation by providing accessible avenues for parents to engage in their children’s academic journey

Investigation the Role of Calcium and Vitamin D3 And Some Biochemical Parameters in Patients with Renal Failure of Renal Failure

Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. D-dimer levels were higher in COVID-19 patients and were related with markers of inflammation, and after treatments, D-dimer levels decreased which was synchronous with hsCRP levels in patients with good clinical prognosis. Also, the low correlation between Padua VTE score and D-dimer levels weakened the role of D-dimer in the prediction of thrombosis.The abnormal changes of D-dimer and inflammatory factors suggest that aggressive anticoagulant therapy might be needed.

The Relationship Between Fear Of Injection, Vaccine Attitude, and Vaccine Hesitance: A Study On The Turkish Vaccine "Turkovac"

This study aims to examine the relationship between blood-injection-injury phobia, attitudes towards COVID-19 Turkovac vaccine and hesitation regarding Turkovac vaccine. The study is a cross-sectional study conducted in the population. The research population consists of patients who applied to a family medicine clinic in the city center of Sakarya and their family members over the age of 18. The research data was collected from 574 participants through a face-to-face survey technique. IBM SPSS and AMOS programmes were used to analyse the data. The conclusions of the showed that the majority of participants had a low fear of injections and their attitudes and hesitancy towards the Turkovac vaccine was partially high. Furthermore, the empirical results of the study indicated that there was a strong positive correlation between attitudes towards Turkovac and hesitancy towards Turkovac vaccine, and a low negative correlation between injection fear and attitudes and hesitancy towards Turcovac vaccine.

ANALYSIS OF THE SPINAL CURVATURE IN RHYTHMIC GYMNASTICS ATHLETES OF DIFFERENT COMPETITIVE LEVELS AND WITH DIFFERENT POSTURES

Rhythmic gymnastics is characterized by high mobility demands on the spine, which can lead to structural changes and associated injuries or pain. The aim of this study is to assess and compare spinal posture in different positions, mobility, and pain perception among RG athletes. The sample consisted of 34 gymnasts (age: 14.18 ± 2.17) of grassroots and federation levels. Spinal posture and mobility were analyzed using the Spinal Mouse® system, along with pain perception (location and intensity) and body composition. Most gymnasts exhibited normal spinal curvature in both standing and sitting positions. Significant differences (p&lt;0.05) were only found in the sacral curve during extension. Regarding lumbar mobility, differences in sacral mobility from standing to extension were noted, with the federation-level gymnasts showing a greater tendency for hyperlordosis in extension. In terms of pain, the lumbar region was the most affected, with 32.4% of cases reporting pain. It was observed that gymnasts experiencing pain displayed more pronounced lumbar hyperlordosis in the standing position. A low but significant correlation was found between lumbar pain and its intensity (p=0.045), and a moderate correlation was observed between hip pain and pelvic tilt. The gymnasts demonstrated a greater tendency for lumbar hyperlordosis in the standing position and during the transition from standing to extension, which was more pronounced among federation-level gymnasts. Furthermore, there appears to be a stronger correlation between hyperlordosis and the occurrence of lumbar pain, as well as the intensity of pain.

3Density estimation using spatial capture‐recapture analyses: application to vaccination of prairie dogs against sylvatic plague

AbstractPrairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark‐resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture‐recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black‐tailed prairie dogs (Cynomys ludovicianus), Gunnison's prairie dogs (C. gunnisoni), white‐tailed prairie dogs (C. leucurus), and Utah prairie dogs (C. parvidens) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured &gt;3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black‐tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White‐tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best‐fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture‐recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.

Spatiotemporal Variability in Snow and Land Cover in Sefid-Rud Basin, Iran

Snow cover has a key role in balancing the Earth’s surface temperature and can help in filling rivers and reservoirs. In this study, 8-day MOD10A2 images are employed to monitor the spatiotemporal changes in snow cover in the Sefid-Rud basin and its eleven sub-basins during 2000–2019. The non-parametric Mann–Kendall (MK) test and its associated Sen’s slope estimator are utilized to estimate the trends in annual, seasonal, and monthly snow cover changes. The Sen’s slope results show a decrease in the snow cover for the basin, statistically significant toward the central and southern parts of the basin. In the winter season, a decreasing trend is observed, where its decreasing rate is higher than the annual rate. The trends in the calendar months are like the seasons, i.e., December, January, and February exhibit a decreasing trend, like the winter season. The Goltapeh-Zarinabad and Ghorveh-Dehgolan sub-basins show decreasing snow cover rates of −0.51 and −0.68 (%/year) during 2000–2019, respectively, the only two sub-basins whose gradients are statistically significant at the 95% confidence level. The Pearson correlation analysis between elevation and snow cover for each year shows that the highest and lowest correlations are 0.81 for 2007 and 0.59 for 2017. Finally, analysis of the MCD12Q1 land cover data shows that a significant portion of non-vegetated lands have turned into grasslands, mainly in the central part of the basin, where the significant gradual snow cover decline is observed. The results can guide stakeholders and policymakers in the development of a sustainable environment in the face of climate change.

The Association Between Urinary Incontinence With Pelvic Pain and Sensory-Motor Function in Older Women With Stroke.

The study aimed to investigate the association between urinary incontinence (UI) severity, pelvic pain, and sensory-motor function in older women with stroke. A cross-sectional prospective study was carried out with 102 older women individuals with stroke. Barthel Index (BI), Incontinence Impact Questionnaire Short Form (IIQ-7), Urogenital Distress Inventory (UDI-6), Pelvic Pain Impact Questionnaire (PPIQ), Somatosensory Amplification Scale (SASS), and Somatic Sensitivity Scale (SeSS) were used for clinical measurements. Partial correlational analyses with age, stroke duration, and BMI as covariates revealed a moderate positive correlation between SASS and IIQ-7 (r = 0.315, p < 0.001) and UDI-6 (r = 0.376, p < 0.001). On the other hand, there was a strong positive correlation between SASS and PPIQ (r = 0.522, p < 0.001). SeSS had a low positive correlation with IIQ-7 (r = 0.198, p < 0.05) and UDI-6 (r = 0.203, p < 0.05). In addition, there was a positive and moderate correlation between SeSS and PPIQ (r = 0.384, p < 0.001). Multivariate linear regression analysis revealed causality of SASS (R2 = 0.381, p < 0.001) and SeSS (R2 = 0.167, p < 0.001) with PPIQ. Increased abnormal sensory sensitivity is associated with increased pelvic pain levels in women with stroke. Clinicians should consider sensory abnormalities, especially pain, within the scope of UI in women with stroke. Our results provide preliminary essential data for sensory and pain awareness during pelvic rehabilitation in stroke patients.