Multidimensional Scaling Research Articles

Development of microsatellite markers and evaluation of the genetic diversity of the edible sea anemone Paracondylactissinensis (Cnidaria, Anthozoa) in China.

Paracondylactissinensis Carlgren, 1934 is a sea anemone with economic value in China. The wild population of P.sinensis has been shrinking due to overfishing and environmental pollution, which have caused price instability. In winter, the price of P.sinensis can reach 25 USD per kilogram. Up to now, there are no genetic markers developed for P.sinensis, preventing a further exploration of their population genetic diversity. In this study, the full-length transcriptome of P.sinensis was sequenced and microsatellite DNA markers (simple sequence repeats [SSRs]) were developed from those transcripts. A total of 52 primer pairs, which can amplify specific polymorphic bands in PCR experiments, were designed for the SSR markers. Genetic diversity and population genetics were analysed for P.sinensis populations collected from the coasts of Taizhou and Rizhao using six microsatellite DNA loci. While inbreeding was detected in both populations (Fis > 0), the overall number of alleles (Na = 11.3) and bottleneck analysis suggested that the genetic diversity of P.sinensis has not been greatly impacted. Clustering analyses using STRUCTURE, principal coordinate analysis and unweighted pair group method with arithmetic mean tree revealed that the Taizhou population diverged from the Rizhao population; however, the genetic differentiation between the populations was moderate. Human-mediated commercial activities may be the principal reasons for the gene flow between the populations. Our study provides the first evaluation of the genetic resources of wild P.sinensis populations in China, which can serve as a useful reference for future comparative studies on population genetics and may guide policy-makers in initiating strategies for germplasm conservation and artificial breeding.

The Brussels effect in Ankara: the case of climate policy

Abstract Turkey’s Europeanization process provides a particularly interesting case study of the extra-jurisdictional impact of European Union (EU) law, both through policy convergence and through the so-called Brussels effect. Formally, Turkey must adopt certain EU rules due to its status as an EU candidate country, but its candidacy process has been lengthy and uncertain, resulting in partial and uneven adoption of EU rules. Nevertheless, EU-style policymaking has persisted in various policy areas, including environmental and climate policy. This paper aims to analyze the convergence of climate change policies between the EU and Turkey by employing multidimensional scaling, a method that enables the visualization and examination of the connectivity and intensity of cooperation between states. For the period from 2007 to 2023, our comparative analysis demonstrates that policy divergence occurs when the EU’s share of Turkey’s total trade decreases and when political challenges are experienced. On the other hand, periods of policy convergence coincide with periods of increased trade volume and expanded trade opportunities. The results suggest that through its market size and regulatory capacity, the EU exerts soft power which forces Turkey to align its climate policies with the EU to protect and maintain its competitiveness in the European marketplace.

Mental Health of PE’s Teachers in Indonesia: Analysis between Well-Being Psychological Capital and Social Support with Demographic Factors

Mental health is crucial in education, including physical education. No research has yet profiled the mental health of physical education teachers in Indonesia. This study aims to identify and analyze the mental health conditions of these teachers through well-being, psychological capital, and social support profiles. The sample consisted of 248 physical education teachers in Indonesia. Most participants were male (87.9%), aged 21-40 years (54%), with a sports education background (80.2%), state school status (74.2%), a bachelor's degree (85.9%), and over 10 years of teaching experience (56.9%). The instruments used were the MHC-SF (Mental Health Continuum Short Form), with validity ranging from 0.477 to 0.723 and a reliability coefficient of r = 0.899. The PCQ (Psychological Capital Questionnaire) with validity from 0.233 to 0.49 and r = 0.904, and the MSPSS (Multidimensional Scale of Perceived Social Support) with validity from 0.339 to 0.746 and r = 0.885. The results showed that most teachers' mental health was in the moderate category. In conclusion, no difference in well-being was found among teachers (p> 0.005). However, differences in psychological capital were observed between male and female teachers (p <0.05), and social support varied with age, teaching status, teaching experience, and marital status (p <0.05). Further research is needed to explore the causes of these differences to enhance teachers' well-being.

Morphological characterization and genetic diversity of mini core collection of Rosa damascena from Morocco

Damask rose (Rosa damascena Mill.) is a popular Rosa species cultivated for the industrial production of rose oil worldwide. In the current study, the morphological characteristics and genetic diversity among 12 populations of these species collected from Kelaat M’gouna in Morocco were examined to identify more variable traits and compare their genetic structure. Observations were recorded for a total of 24 morphological traits. The phenotypic variation coefficient (CV) of the studied traits varied from 4.79 % to 42.52 %, confirming the high phenotypic variation between accessions. Cluster analysis grouped accessions into two major clusters based on their morphological resemblance. For molecular investigations, nuclear DNA was amplified using 13 ISSR markers. Analysis of molecular variance (AMOVA) indicated that the highest proportion was within populations (87 %) rather than between them (13 %). Boutaghrar region recorded high values of genetic diversity (He = 0.237), percentage polymorphic loci (PPL = 67 %) and Shannon information index (I = 0.358) Clustering based on Jaccard similarity divided studied the accessions into three distinct clusters. STRUCTURE analysis and principal coordinate analysis (PCoA) were consistent with the genetic relationships derived from cluster analysis. Our study suggests that the wide genetic variation and haplotype observed in Moroccan Damascene roses are valuable for future improvement and conservation of rose programs, particularly for enhancing commercial traits, flower yield, and breeding stability.

Psychological distress, work environment quality, and motivation levels among nurses working in Saudi Arabia.

A favorable clinical environment and nurse motivation are both essential for achieving high-quality patient outcomes and organizational performance in healthcare systems, which can be highly distressing for nurses. The purpose of this study was thus to determine the associations among and influences of psychological distress, work environment quality, and motivation on one another. This was a cross-sectional, descriptive-correlational study conducted with a total sample of 204 nurses in two public tertiary hospitals. We used an online survey to collect nurses' responses, which comprised the Kessler Psychological Distress Scale-6, Brief Nurses' Practice Environment Scale, and Multidimensional Work Motivation Scale. We ran the necessary statistical analyses in SPSS version 28. We found that nurses' psychological distress, work environment quality, and motivation were moderate. A significant, positive, and moderate relationship existed between psychological distress and work environment quality, while nurses' educational level was statistically different with their motivation level. In the regression, only the nationality, current position, and work environment variables significantly influenced psychological distress. The hospital type also significantly influenced work environment quality. No variable was found to influence nurses' motivation level, though. We concluded that nurses' work environment quality and motivation are interconnected with the psychological stress they experience at work. Monitoring nurses' work environment quality, motivation levels, and psychological distress is thus vital to ensure better patient care.

Driving Factors of Forest Typological Diversity in the Moscow Region

The identification of the main factors influencing forest diversity, including both direct and indirect effects, as well as the compatibility of different-level approaches, is a key topic in community ecology and biogeography. The aim of the current study is to assess the contributions of natural and anthropogenic factors to forest diversity in the Moscow region (Russia). This study is based on a quantitative analysis of the linkage between forest diversity and biotopic local factors (LFs) at a lower spatial level, using geobotanical relevés, and external factors (EFs) at an upper spatial level, based on global environmental databases. The classification of 1040 field relevés (including forest-forming tree species, moisture conditions, and soil nutrients) resulted in the identification of eight forest types. A nonmetric multidimensional scaling algorithm, ANOVA post hoc test, hierarchical clustering, and multiple regression analysis were used in data processing. LFs are calculated based on complete species lists using Ellenberg ecological scales. According to a Duncan’s test, LFs provided significant differences between the eight forest types (p < 0.05). At the upper spatial level, the linkage between forest diversity and EFs was most pronounced for climatic factors, soil properties, and topography, including annual mean temperature, soil carbon, clay particle content, and DEM (elevation and slope). The contribution of anthropogenic factors was significantly smaller compared to the natural EFs in the study region.

Exploring intraspecific and interspecific variation of coral reef algae using a novel trait‐based framework

Abstract The development of trait‐based approaches has accelerated our understanding of how communities assemble, respond to environmental change and may best be managed in the Anthropocene. Understanding the magnitude and pattern of interspecific variability forms a critical underpinning of trait‐based approaches while exploring intraspecific variability can identify the potential of species to adapt to changing environmental drivers. Our work is motivated by the critical need for a novel conceptual framework for understanding the functional ecology of macroalgae, as the current paradigm is still mired in functional group models developed in the 1980s. Our objective was to quantify interspecific and intraspecific functional trait variability in three common and morphologically diverse species of tropical marine macroalgae by exploring traits relating to the ecological functions of resource acquisition, resistance to herbivory, and resistance to physical disturbance and the trade‐offs between them. We quantified intraspecific and interspecific variability of 11 functional traits for three common and morphologically diverse species of tropical macroalgae from five fringing reefs of Mo'orea, French Polynesia that were likely to capture a wide range of environmental variability. Differences in traits among species and sites were determined with PERMANOVA, visualised with non‐metric multidimensional scaling, and trade‐offs between pairs of traits explored with correlation. Finally, spatial patterns among select traits across all species were quantified. Species clustered together in distinctly different trait spaces driven by trade‐offs among suites of functional traits. Two of three species had considerable intraspecific variability, though this variability occurred at different scales, while one clustered tightly. Exploration of individual traits across species and sites revealed trade‐offs between two strategies for resource acquisition, growing tall and strong versus investing in large surface area. Synthesis. We captured novel patterns of interspecific and intraspecific variability for tropical marine macroalgae. We found fundamental differences in traits between species that may represent ecological strategies while considerable intraspecific variability demonstrates a wide range in abilities to respond to environmental drivers. Overall, our work provides novel insights into intra and interspecific trait variation that form an essential underpinning for using a trait‐based framework in a taxon that is increasingly dominant on tropical reefs.

Lower Perceived Social Support During Hospitalization by Close Family Members may have Significant Associations with Psychological Distress 1 Month After Cardiac Arrest.

The perception of having poor social support is associated with worse symptoms of psychological distress in close family members of critically ill patients, yet this has never been tested after cardiac arrest. Close family members of consecutive patients with cardiac arrest hospitalized at an academic tertiary care center participated in a prospective study. The validated Multidimensional Scale of Perceived Social Support (MSPSS) cued to index hospitalization was administered before discharge. Multivariate linear regressions estimated the associations between the total MSPSS score and total scores on the Patient Health Questionnaire-8 (PHQ-8), Generalized Anxiety Disorder 2-item (GAD-2), and the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5), assessed 1month after cardiac arrest. In 102 participants (mean age 52 ± 15years, 70% female, 21% Black, 33% Hispanic) with complete data, the prevalence of depression, generalized anxiety, and probable posttraumatic stress disorder at a median duration of 28.5days (interquartile range 10-63days) from cardiac arrest was 61%, 34%, and 13%, respectively. A lower MSPSS score was significantly associated with higher PHQ-8 scores (β = - 0.11 [95% confidence interval - 0.04 to - 0.18]; p < 0.01), even after adjusting for family members' age, sex, prior psychiatric condition, and witnessing of cardiopulmonary resuscitation and patient's discharge disposition (β = - 0.11 [95% confidence interval - 0.02 to - 0.15]; p < 0.01). Similarly, significant inverse associations of total MSPSS scores were seen with 1-month GAD-2 and PCL-5 scores. Poor social support during hospitalization, as perceived by close family members of cardiac arrest survivors, is associated with worse depressive symptoms at 1month. Temporal changes in social networks and psychological distress warrant further investigation.

Exploring Taxonomic and Genetic Relationships in the Pinus mugo Complex Using Genome Skimming Data.

Genome skimming is a novel approach that enables obtaining large-scale genomic information based on high-copy DNA fractions from shallow whole-genome sequencing. The simplicity of this method, low analysis costs, and large amounts of generated data have made it widely used in plant research, including species identification, especially in the case of protected or endangered taxa. This task is particularly difficult in the case of closely related taxa. The Pinus mugo complex includes several dozen closely related taxa occurring in the most important mountain ranges in Europe. The taxonomic rank, origin, or distribution of many of these taxa have been debated for years. In this study, we used genome skimming and multilocus DNA barcoding approaches to obtain different sequence data sets and also to determine their genetic diversity and suitability for distinguishing closely related taxa in the Pinus mugo complex. We generated seven different data sets, which were then analyzed using three discrimination methods, i.e., tree based, distance based, and assembling species by automatic partitioning. Genetic diversity among populations and taxa was also investigated using haplotype network analysis and principal coordinate analysis. The proposed data set based on divergence hotspots is even twenty-times more variable than the other analyzed sets and improves the phylogenetic resolution of the Pinus mugo complex. In light of the obtained results, Pinus × rhaetica does not belong to the Pinus mugo complex and should not be identified with either Pinus uliginosa or Pinus rotundata. It seems to represent a fixed hybrid or introgressant between Pinus sylvestris and Pinus mugo. In turn, Pinus mugo and Pinus uncinata apparently played an important role in the origins of Pinus uliginosa and Pinus rotundata.

Pengaruh Dukungan Sosial terhadap Motivasi Belajar Mahasiswa Tingkat Ii

This study examines the relationship between work motivation and psychological well-being (PWB) in internship students in Greater Jakarta. Program policies provide opportunities for students to develop their skills and work experience. This study aims to identify how work motivation, both intrinsic and extrinsic, affects the psychological well-being of internship students. Using a predictive correlational approach, data was collected through a questionnaire that measured the dimensions of work motivation and PWB. The results of the study showed that intrinsic motivation had a significant positive impact on psychological well-being, while excessive extrinsic motivation could have a negative impact. This research emphasizes the importance of creating a supportive work environment to motivate interns, improve their performance, and prepare them for the transition from academia to the world of work. The researcher obtained 103 respondents from various students at the University of Greater Jakarta with 25.2% male and 74.8% female. The data of this study was processed using convenience sampling techniques, using Multidimensional Work Motivation Scale (MWMS) and Psychological Well-Being (PWB) questionnaires. The results of data analysis are known through the Kolmogorov Smirnov test obtained a number of 0.200 &gt; 0.05 for both variables, it was concluded that the residual data was normally distributed.

Abstract C051: Impact of population pharmacogenomics on cisplatin-induced neurotoxicities

Abstract Background: Studies have shown that taxane-treated breast cancer patients with African (AFR) ancestry experience worse peripheral sensory neuropathy (PSN), while African American vincristine-treated leukemia patients have less PSN than Europeans (EUR). We hypothesized that ancestral disparities may exist for cisplatin-induced neurotoxicities and may relate to differences in allele frequency and resultant gene expression of SNPs associated with these toxicities. Methods: In our Platinum Study of 1680 genotyped testicular cancer survivors (TCS), multidimensional scaling scores were anchored by the 1000 Genomes population to classify geographic ancestry. PSN (EORTC-CIPN20) and other toxicities plus clinical and lifestyle variables were examined for associations between geographic ancestry and phenotypes using logistic regression and Wilcoxon rank sum test. Genotyped SNPs with Fst &amp;gt; 0.25 in 1000 Genomes were identified and evaluated with GTEx data to find expression or splicing quantitative trait loci in nerve/brain tissue or for cisplatin-associated candidate genes, across all tissues. LDmatrix was used to find linkage disequilibrium. If a block of SNPs had R2 &amp;gt; 0.75, one independent SNP was kept for association analysis. Logistic regression with age at questionnaire completion and 10 genetic principal components as covariates was used to calculate the association between genotype and toxicity. Results: In an analysis of patients who received 400-450 mg/m2 of cisplatin including EUR (n=681), Asian (ASN) axis (n=44) and AFR (n=13), the odds ratio (OR) for any neuropathy vs. none in the AFR vs. EUR was 7.8 (P=0.049) and in the AFR vs. ASN axis (including East Asian 1000 Genomes populations) was 10.0 (P=0.034). TCS with AFR ancestry had significantly more vertigo. There were 19,874 SNPs for analysis from the genome-wide approach and 118 SNPs from the candidate gene approach. While associations between genotype and toxicity did not reach Bonferroni threshold, some SNPs had p-values in the 10-5 range. For PSN, one SNP had increased frequency of a risk allele in the AFR population while the other had increased frequency of a protective allele, while for vertigo, four SNPs had increased frequency of risk alleles in the AFR population. Of interest was rs34904346, in which the TT vs. AA genotype had an OR of 1.9 (p=2x10-5) for any vs. no PSN, with the T allele having 90% frequency in AFR ancestry patients versus ∼60% in other populations. This SNP and three other independent SNPs associated with PSN incidence (p∼10-3) are eQTLs for RNF24 in nerve tissue, which interacts with membrane proteins that regulate intracellular calcium levels. Conclusions: We show preliminary evidence for the role of differing risk allele frequencies across populations in explaining disparities in cisplatin-induced PSN and vertigo, likely in combination with structural and environmental factors. Genotyping risk alleles could customize dosing, treatment, and post-treatment monitoring to benefit all cisplatin-treated patients. Citation Format: Swetha Nakshatri, Paul C. Dinh, Darren R. Feldman, Robert J. Hamilton, Chunkit Fung, David J. Vaughn, Christian Kollmannsberger, Robert Huddart, Lawrence H. Einhorn, Nancy J. Cox, Lois B. Travis, Eileen Dolan. Impact of population pharmacogenomics on cisplatin-induced neurotoxicities [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C051.

A study on improving cancer-related fatigue and disease-related psychological variables in patients with cervical cancer based on online mindfulness-based stress reduction: a randomized controlled trial

BackgroundThe persistent destructive power of cancer-related fatigue (CRF) has been regarded as the biggest influencing factor affecting the postoperative physical and mental health of patients with cervical cancer. During this process, patients might also experience different feelings of disease-related psychological. Therefore, this study aimed to adopt mindfulness-based stress reduction (MBSR) to intervene in patients with cervical cancer, and conducted follow-up for 3 and 6 months to observe the effects of changes in CRF, uncertainty in illness, coping styles, sense of coherence (SOC), and perceived social support (PSS).MethodsA randomized controlled trial was conducted in ShengJing Hospital of China Medical University. A total of 102 patients were selected, and 78 patients completed the whole process, including 40 in the experimental group and 38 in the control group. Data were collected according to Cancer Fatigue Scale, Medical Coping Modes Questionnaire, Multidimensional Scale of Perceived Social Support, and Sense of Coherence-13. The change trend and difference of the two groups of research data were compared by repeated measurement analysis of variance. Bonferroni test was used for multiple tests between groups.ResultsThe CRF, SOC, and coping styles of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR, 3 months follow-up, and 6 months follow-up compared to the before MBSR. However, the uncertainty in illness of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR compared to the before MBSR, and it rose in 3 months follow-up and 6 months follow-up.ConclusionMBSR can effectively alleviate the fatigue of CRF after treatment, while improving their psychological environment. Medical workers can consider implementing online MBSR for patients with cervical cancer in their daily rehabilitation nursing, which is beneficial for their recovery.Trial registrationChina Clinical Trial Registration Center ChiCTR2000040122 (https//www.chictr.org.cn/). Registered on November 21, 2020.

Association mapping analysis (AMA) for morpho-agronomic traits and leaf aromatic compounds using SSR markers in three types of Perilla crop collected from South Korea.

Perilla is a representative leafy vegetable in South Korea. As K-Food (Korean food) is in the spotlight around the world, there is also increasing interest in Western countries in Perilla crop, an annual plant belonging to the Lamiaceae family. To discover comprehensive information, including genetic and phylogenetic relationships among the 80 native Perilla accessions, using three types of data: simple sequence repeat (SSR) marker data, volatiles profile data, and morpho-agronomic data. This study conducted genotypic and phenotypic analyses on 80 Perilla accessions of three types (cultivated var. frutescens, weedy var. frutescens, weedy var. crispa) from South Korea. Five groups (G1-G5) of the 80 Perilla accessions of the three types were differentiated into two different clusters [genotype-based clustering (GTC) and phenotype-based clustering (PTC)] based on an aroma sensory phenotypic test. A total of 314 alleles were confirmed using 55 Perilla SSR primer sets, and genetic variation in the 80 Perilla accessions was evaluated. Among the three statistical analysis methods, principal coordinate analysis (PCoA) and GTC using data of the 55 Perilla SSR markers revealed perfectly consistent results, whereas PTC produced a total of six clusters. The 10 Perilla SSR markers associated with and significantly correlated with both biochemical and morphological characteristics were selected. These findings are expected to provide valuable information for developing global South Korean Perilla cultivars for further studies in Perilla crop breeding programs.

An explanation for the sister repulsion phenomenon in Patterson's f-statistics.

Patterson's f-statistics are among the most heavily utilized tools for analyzing genome-wide allele frequency data for demographic inference. Beyond studying admixture, f3- and f4-statistics are also used for clustering populations to identify groups with similar histories. However, previous studies have noted an unexpected behavior of f-statistics: multiple populations from a certain region systematically show higher genetic affinity to a more distant population than to their neighbors, a pattern that is mismatched with alternative measures of genetic similarity. We call this counter-intuitive pattern "sister repulsion". We first present a novel instance of sister repulsion, where genomes from Bronze Age East Anatolian sites show higher affinity toward Bronze Age Greece rather than each other. This is observed both using f3- and f4-statistics, contrasts with archaeological/historical expectation, and also contradicts genetic affinity patterns captured using principal components analysis or multidimensional scaling on genetic distances. We then propose a simple demographic model to explain this pattern, where sister populations receive gene flow from a genetically distant source. We calculate f3- and f4-statistics using simulated genetic data with varying population genetic parameters, confirming that low-level gene flow from an external source into populations from 1 region can create sister repulsion in f-statistics. Unidirectional gene flow between the studied regions (without an external source) can likewise create repulsion. Meanwhile, similar to our empirical observations, multidimensional scaling analyses of genetic distances still cluster sister populations together. Overall, our results highlight the impact of low-level admixture events when inferring demographic history using f-statistics.

Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images.

Urban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored. The development of machine learning and street view images offers a method for large-scale measurement and precise empirical analysis. This study focuses on the central area of Shanghai, examining the complex effects of GS exposure on psychological stress perception. By constructing a multidimensional psychological stress perception scale and integrating machine learning algorithms with extensive street view images data, we successfully developed a framework for measuring urban stress perception. Using the scores from the psychological stress perception scale provided by volunteers as labeled data, we predicted the psychological stress perception in Shanghai's central urban area through the Support Vector Machine (SVM) algorithm. Additionally, this study employed the interpretable machine learning model eXtreme Gradient Boosting (XGBoost) algorithm to reveal the nonlinear relationship between GS exposure and residents' psychological stress. Results indicate that the GS exposure in central Shanghai is generally low, with significant spatial heterogeneity. GS exposure has a positive impact on reducing residents' psychological stress. However, this effect has a threshold; when GS exposure exceeds 0.35, its impact on stress perception gradually diminishes. We recommend combining the threshold of stress perception with GS exposure to identify urban spaces, thereby guiding precise strategies for enhancing GS. This research not only demonstrates the complex mitigating effect of GS exposure on psychological stress perception but also emphasizes the importance of considering the "dose-effect" of it in urban planning and construction. Based on open-source data, the framework and methods developed in this study have the potential to be applied in different urban environments, thus providing more comprehensive support for future urban planning.

Psychometric characteristics of the multidimensional scale of perceived social support in ostomy patients and their caregivers.

Despite the importance of social support in ostomy care, the Multidimensional Scale of Perceived Social Support (MSPSS) does not appear to be validated in the context of ostomy care. This study evaluated the psychometric characteristics of MSPSS in ostomy patients and their informal caregivers. The MSPSS was tested in a sample of 775 participants with confirmatory factor analysis. Internal consistency reliability was assessed with the ordinal Omega coefficient. Criterion-related validity was ascertained via hypothesis testing by correlating the scores of the MSPSS with other measures. MSPSS for patients and caregivers has a three-factor structure with a good fit. Internal consistency reliability of the factors was excellent. Concurrent validity was supported by the negative correlations between MSPSS scores with depression and stoma-related QoL, and the positive correlations with perceived mutuality. Our research indicates that the MSPSS is a sound measure of social support for ostomy patients and their caregivers.

Quantitative analysis of the morphological variation within the tiger beetle Calomera littoralis (Fabricius, 1787) (Coleoptera: Cicindelidae) in Mongolia

For the past couple of centuries, much of tiger beetle taxonomic work has been focused on explaining intraspecific variation. In the Northern Hemisphere, over a thousand subspecies have been described and many have since been relegated to synonymy. Generally, the phenotypic-based subspecies circumscription has been purely descriptive. More quantitative and integrative analyses of the color and pattern variation in tiger beetles would be valuable. The geographically wide-ranging species, Calomera littoralis (Fabricius, 1987) contains 11 currently recognized subspecies, including two described from Mongolia that have been of questionable status due to the paucity of material available when they were described. Here, we assess the distribution of phenotypic variation within C. l. peipingensis (Mandl, 1934) and C. l. mongolensis (Mandl, 1981) to determine whether it best fits a pattern of two subspecies with a contact zone or a gradual cline, based on 494 specimens from 34 populations. Non-metric multidimensional scaling analyses and modeling of the fit between longitude and black dorsal phenotypes both indicate that the variation is best explained by a gradual cline of phenotype along an east-west gradient, not the presence of separate subspecies. As a result, we synonymize C. littoralis mongolensis, syn, nov. with C. littoralis peipingensis.

Шкала реагирования на неопределенность: инструмент оценки взаимодействия подростков с многомерным стрессом

&lt;p&gt;The adaptation of the Uncertainty Response Scale (URS) aimed at studying the ways in which adolescents interact with uncertainty stress situations is described. The scale contains 25 questions and includes three subscales: &amp;ldquo;Emotional uncertainty,&amp;rdquo; &amp;ldquo;Cognitive uncertainty,&amp;rdquo; and &amp;ldquo;Desire for change&amp;rdquo;. The questionnaire has good internal consistency (Cronbach&amp;rsquo;s alpha for scales 0.85-0.93; CFI=0.93; TLI=0.92; RMSEA=0.060 [0.057; 0.062]; SRMR=0.06) in a sample of adolescents from different regions of the Russian Federation (N=1718; age from 12 to 18 years; average age 14&amp;plusmn;1 years; 53.8% female). The URS validity is confirmed by the expected correlations with the scales of the &amp;ldquo;Multidimensional Students&amp;rsquo; Life Satisfaction Scale&amp;rdquo; and &amp;ldquo;Multidimensional School Engagement Scale&amp;rdquo;. The validity is also supported by the fact that the URS allows to differentiate respondents in different stressful situations: if a teenager finds himself in a maximally stressful situation, emotional reactions to uncertainty increase, while cognitive reactions to uncertainty are quite stable, and readiness for change decreases. The &amp;ldquo;Response to Uncertainty Scale&amp;rdquo; can be used to conduct large-scale longitudinal studies, studies of adolescents from different groups, including vulnerable groups, as well as individual studies to build subsequent practice of psychological assistance.&lt;/p&gt;

Age Modifies the Interactive Effect of Loneliness and Social Support on Financial Exploitation Vulnerability in Older Adults.

Social support and loneliness have been identified as important correlates of financial exploitation vulnerability (FEV) in older adults. However, the potential combined effect of these social factors on FEV remains unclear. Moreover, given that social support and loneliness may become more important as age increases, age may have a moderating effect on the loneliness-social support interaction. Participants were 342 community-living Israeli older adults aged 60 or over (M age = 73.37, SD = 7.82, 69.1% female) who responded to questionnaires assessing FEV (Financial Exploitation Vulnerability Scale), perceived social support (The Multidimensional Scale of Perceived Social Support), loneliness (UCLA Three-item Loneliness Scale), and sociodemographic characteristics. Two hierarchical linear regression models covarying for demographic variables examined study hypotheses. In a first model, a significant interaction between social support and loneliness was discovered such that high levels of perceived social support attenuated the positive loneliness-FEV association. In a second model, a significant three-way interaction between social support, loneliness, and age was discovered. Probing the interaction revealed that the attenuating effect of social support on the loneliness-FEV link increased with increasing age. Findings suggest that effects of social factors on FEV may interact with each other and with age to predict FEV, and provide insights into when social support may be most relevant in mitigating FEV.

Development and validation of the Upstream Social Interaction Risk Scale (U-SIRS-13): a scale to assess threats to social connectedness among older adults.

Social interactions are essential to social connectedness among older adults. While many scales have been developed to measure various aspects of social connectedness, most are narrow in scope, which may not be optimally encompassing, practical, or relevant for use with older adults across clinical and community settings. Efforts are needed to create more sensitive scales that can identify "upstream risk," which may facilitate timey referral and/or intervention. The purposes of this study were to: (1) develop and validate a brief scale to measure threats to social connectedness among older adults in the context of their social interactions; and (2) offer practical scoring and implementation recommendations for utilization in research and practice contexts. A sequential process was used to develop the initial instrument used in this study, which was then methodologically reduced to create a brief 13-item scale. Relevant, existing scales and measures were identified and compiled, which were then critically assessed by a combination of research and practice experts to optimize the pool of relevant items that assess threats to social connectedness while reducing potential redundancies. Then, a national sample of 4,082 older adults ages 60 years and older completed a web-based questionnaire containing the initial 36 items about social connection. Several data analysis methods were applied to assess the underlying dimensionality of the data and construct measures of different factors related to risk, including item response theory (IRT) modeling, clustering techniques, and structural equation modeling (SEM). IRT modeling reduced the initial 36 items to create the 13-item Upstream Social Interaction Risk Scale (U-SIRS-13) with strong model fit. The dimensionality assessment using different clustering algorithms supported a 2-factor solution to classify risk. The SEM predicting highest risk items fit exceptionally well (RMSEA = 0.048; CFI = 0.954). For the 13-item scale, theta scores generated from IRT were strongly correlated with the summed count of items binarily identifying risk (r = 0.896, p < 0.001), thus supporting the use of practical scoring techniques for research and practice (Cronbach's alpha = 0.80). The U-SIRS-13 is a multidimensional scale with strong face, content, and construct validity. Findings support its practical utility to identify threats to social connectedness among older adults posed by limited physical opportunities for social interactions and lacking emotional fulfillment from social interactions.