Surface and deep learning: a blended learning approach in preclinical years of medical school.

BACKGROUND: Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective learning. This study reports a blended learning approach integrating online and face-to-face components, guided by the Student Approaches to Learning framework. METHODS: This study was carried out investigating learning in first and second year medical students over two academic years, 2019/20 and 2020/21. We evaluated: (1) comparison of students engaged with blended learning and traditional learning; and (2) student learning engaged with blended learning approach over a two-year preclinical curriculum. A revised two-factor study process questionnaire (R-SPQ-2F) evaluated students' surface/deep learning before and after an academic year. Learning experience (LE) questionnaire was administered over the domains of learning engagement, and outcomes of learning approach. In-depth interviews were carried out to understand the context of students' responses to the R-SPQ-2F and LE questionnaires. RESULTS: The R-SPQ-2F analysis indicated first year students maintained deep learning but second year students became neutral across the academic year, regardless of learning approach, with workload contributing to this outcome. R-SPQ-2F sub-scales showed that students engaged with blended learning maintained an intrinsic interest to learning, as compared to traditional learning which led to surface learning motives. The LE questionnaire showed students engaged with blended learning had deeper subject interest, and more positive perceptions of workload, feedback, and effectively developed skills and knowledge. However, peer interactions from blended learning were significantly lacking. In-depth interviews revealed that the flexibility and multi-modality of blended learning enabled learning, but the best use of these features require teacher support. Online interactions could be cultivated through intentional institutional efforts. CONCLUSIONS: This study highlights the importance of designing blended learning that leverages technology-enabled flexibility while prioritising collaborative, learner-centred spaces for deep engagement and knowledge construction.

Validity of the Systemizer Profile Questionnaire: A New Tool to Identify Cognitive, Mentalizing, Sensory, Social, and Systemizing Abilities in Adults with Autism-Spectrum-Disorders With and Without Comorbid ADHD.

PURPOSE: Systemizer Profile Questionnaire (SPQ), which has not been used before, investigates difficulties in mentalisation, sensory- and/or social sensitivity and social cognition (MSSSC) in subjects with Autism-Spectrum-Disorders (ASD) with and without Attention-Deficit-Hyperactivity-Disorder (ADHD). The aim of this study was to evaluate the reliability and validity of the SPQ domains, and to assess the predictive validity of the SPQ against the Ritvo Autism Asperger Diagnostic Scale (RAADS). METHODS: Three-hundred-fifty-four study subjects with ICD-10 verified ASD confirmed by RAADS and 354 controls matched on age group and gender were recruited and evaluated systematically with SPQ, standardized questions about demographic and clinical data. Hypothesized SPQ subscales formed from 85 items were evaluated using confirmatory factor analysis (CFA). Resulting revised sub-scales were confirmed using item response theory (IRT) and the predictive validity of the SPQ scores was evaluated using RAADS scores above 64 as the standard. RESULTS: Twenty-two of the original 85 items were removed, resulting in an instrument with 63 items across nine psychometrically valid domains. These domains had high sensitivity (range: 0.64 to 0.84), and high specificity (range: 0.73 to 0.90). Positive predictive values (range: 0.76 to 0.89) and negative predictive values (range: 0.69 to 0.90) were also high. For the total SPQ score the sensitivity was 0.95, the specificity was 0.87, the positive predictive value was 0.88 and the negative predictive value was 0.95. CONCLUSION: SPQ domains are valid descriptions/profiles of MSSSC given that ASD is confirmed by RAADS, though irrelevant if not, as SPQ is not a diagnostic instrument.

Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument.

We assess students' approaches to learning mathematics not only to predict students' learning outcomes but also for its crucial utilities in the teaching and learning process. These utilities range from evaluating effective instructional interventions, determining students with learning difficulties, and comparing teaching and learning experience in higher education. However, measures of the constructs have raised validity concerns among researchers. A root cause of these validity concerns is traceable to the failure of these measures to account for the content-specificity of approaches to learning. Building on a previously developed general measure of the constructs, I designed this study to bridge this gap by developing and validating approaches to learning mathematics questionnaire (ALMQ). 352 first-year engineering students who gave voluntary consent participated in the study. The students were mainly males with ages ranging from 15 years to 29 years. The average age was 20.67 years, and its standard deviation was 2.164. I analysed the generated data using confirmatory factor analysis and judged the consistency of hypothesised models with the generated data using a combination of criteria. The findings revealed a two-factor ALMQ with seven items which demonstrated an excellent global and local fit of the generated data. The standardised factor loadings for all the items were above 0.68 with an average of 0.73 showing the high strengths of the items in measuring their respective constructs. I also found a reliability coefficient of 0.81 for deep approaches, 0.77 for surface approaches, and 0.72 for the two-factor ALMQ. These findings suggest preliminary evidence of the validity and reliability of ALMQ. I discussed the practical implications of the findings for educators, policymakers, and researchers interested in improving the mathematics learning experience.

Students' approaches to learning (SALs): Validation and psychometric properties of a tool measurement.

BACKGROUND: Deep learning is an important outcome of the higher education and is mostly determined by students' approaches to learning (SALs). The latest version of the Study Process Questionnaire (SPQ) is one of the most used instruments assessing SALs. Many studies from various contexts have either validated or used this famous tool. But none of them-to the best of our knowledge-stem from the Moroccan tertiary context. The current study fills this gap by first: Getting a local translation of the questionnaire following the standardized methodological process and secondly to update the validity and psychometric properties of the construct. MATERIALS AND METHODS: Arabic back translation was performed. Data were collected among tertiary scientific students. Descriptive statistics, Cronbach's coefficient alpha, and confirmatory factor analysis were carried out under SPSS version 22. RESULTS: A strong fit of the dichotomic construct (deep and surface) was found, whereas the hierarchical models were disappointing. CONCLUSIONS: Following the standards of the psychometrics' validation, this Arabic version could be used only in first-order factor model to evaluate the deep and surface approach within tertiary education in Moroccan context.

On the Correlations of Gray Matter with Schizotypy in Mentally Healthy Subjects.

We analyzed the relationships between morphometric characteristics of brain gray matter and schizotypy. Mentally healthy subjects (n=164, age 18-35 years) completed Russian version of SPQ-74 test and underwent high-field 3T MRI. Cortical thickness in the right frontal pole (determined with FreeSurfer 6.0.0) positively correlated with negative schizotypy factor. The revealed features can reflect the protective mechanisms (resilience) against the development of mental disorders and also can be a result of individual ontogenesis trajectories manifested in deceleration of the decrease of the cortex thickness during first 3 decades of life.

A novel equal frequency sampling of factor levels (EFSFL) method is applied to identify the dominant factor inducing the combined toxicities of 13 factors.

The research framework combining global sensitivity analysis (GSA) with quantitative high-throughput screening (qHTS), called GSA-qHTS, provides a potentially feasible way to screen for important factors that induce toxicities of complex mixtures. Despite its value, the mixture samples designed using the GSA-qHTS technique still have a shortage of unequal factor levels, which leads to an asymmetry in the importance of elementary effects (EEs). In this study, we developed a novel method for mixture design that enables equal frequency sampling of factor levels (called EFSFL) by optimizing both the trajectory number and the design and expansion of the starting points for the trajectory. The EFSFL has been successfully employed to design 168 mixtures of 13 factors (12 chemicals and time) that each have three levels. By means of high-throughput microplate toxicity analysis, the toxicity change rules of the mixtures are revealed. Based on EE analysis, the important factors affecting the toxicities of the mixtures are screened. It was found that erythromycin is the dominant factor and time is an important non-chemical factor in mixture toxicities. The mixtures can be classified into types A, B, and C mixtures according to their toxicities at 12 h, and all the types B and C mixtures contain erythromycin at the maximum concentration. The toxicities of the type B mixtures increase firstly over time (0.25 âˆ¼ 9 h) and then decrease (12 h), while those of the type C mixtures consistently increase over time. Some type A mixtures produce stimulation that increases with time. With the present new approach to mixture design, the frequency of factor levels in mixture samples is equal. Consequently, the accuracy of screening important factors is improved based on the EE method, providing a new method for the study of mixture toxicity.

Mechanism of time-dependent toxicity of quinolone antibiotics on luminescent bacteria Vibrio qinghaiensis sp.-Q67.

Four quinolone antibiotics (ciprofloxacin (CIP), enrofloxacin (ENR), sparfloxacin (SPA), gatifloxacin (GAT)) and their binary mixtures at environmentally relevant concentrations exhibited time-dependent hormesis on Vibrio qinghaiensis sp.-Q67 (Q67). The study aims to investigate the time-dependent toxicity of low-dose pollutants and the occurrence of hormesis. These indicators, total protein (TP), reactive oxygen species (ROS), superoxide dismutase (SOD), catalase (CAT), malondialdehyde (MDA) and luminescence-related chemicals flavin mononucleotide (FMN), nicotinamide adenine dinucleotide (NADH), were measured to explore the mechanism of hormesis. The results showed a trend of increases in all indicators after 12 h of exposure, reaching maximal effects at 60 h and then decreasing as time progressed. At 36 h, 60 h and 84 h, the results showed a gradual increase followed by a decreasing trend in TP, FMN and NADH as the concentration in the group increased, whereas ROS, CAT, SOD and MDA showed the opposite trend. Notably, the degree of changes was related to the magnitude of hormesis. At low concentrations, the content of ROS and MDA decreased, the activity of CAT and SOD was lower, but the content of TP, FMN, NADH gradually increased, positively correlated with the promotion of Q67. At high concentrations, ROS and MDA content in Q67 increased, triggering the antioxidant defense mechanism (CAT and SOD activity increased), but TP, FMN, NADH content decreased, negatively correlated with the inhibited Q67. Therefore, our findings demonstrated two common patterns in these seven biochemical indicators on Q67. These findings have important practical implications for the ecological risk assessment of antibiotics in aquatic environment.

Comparing two measures of schizotypy and their relationship with psychological distress in British university students.

AIMS: Schizotypy reflects the vulnerability to schizophrenia in the general population. Different questionnaires have been developed to measure aspects of schizotypy. Higher schizotypy scores have also been linked with depression, anxiety, and stress sensitivity. Here we examine the associations of schizotypy with symptoms of depression and anxiety in a sample of university students, using two different measures (N = 271). METHODS: A series of confirmatory factor analyses was used to examine two distinct and frequently employed measures of schizotypy: the Community Assessment of Psychic Experiences (CAPE), and the Schizotypy Personality Questionnaire (SPQ). We assessed their relationship with each other and their predictive validity for anxiety, depression, and stress sensitivity. RESULTS: Our results indicated the brief 7-factor SPQ (SPQ-BR) factor solution for the SPQ and the 15-item and 3 factor solution for the CAPE (i.e., CAPE-P15) as best fitting models. Particularly the CAPE dimension of persecutory ideation was a strong predictor of anxiety, depression, and stress sensitivity, whereas the SPQ dimensions of no close friends and social anxiety predicted psychological distress and stress in our student sample. CONCLUSIONS: Our findings extend earlier work in general and patient samples and point to the importance of understanding the contribution of particularly positive schizotypy symptoms and different interpersonal aspects to psychological distress.

The Types of Learning Approaches Used by Engineering Students in Three Scenarios: An Adaptation of the R-SPQ-2F to China.

Deep learning is a type of high-level learning that has received widespread attention in research on higher education; however, learning scenarios as an important variable have been ignored to some extent in past studies. This study aimed to explore the learning state of engineering students in three learning scenarios: theoretical learning, experimental learning, and engineering practice. Samples of engineering university students in China were recruited online and offline; the students filled in the engineering Education-Study Process Questionnaire, which was revised from the R-SPQ-2F. The results of clustering analysis showed four types of learning approaches in the three scenarios: typical deep learning, typical shallow learning, deep-shallow learning, and free learning. Engineering learners in different learning scenarios tended to adopt different learning approaches and showed gender differences. Due to factors such as differences in culture and choice of learning opportunities, the deep and shallow learners demonstrated excellent learning performance, which is in sharp contrast with the "learning failure" exhibited by such students abroad.

An German Short-Version of the "Sensory Perception Quotient" for Adults With Autism Spectrum Disorder.

Sensory features in autism spectrum disorder (ASD) have received increasing interest in clinical work and research during the recent years. With the Sensory Perception Quotient (SPQ), Tavasolli and colleagues have produced a self-rating scale for adults with ASD that measures sensory hyper-sensitivity in different sensory modalities, without also tapping cognitive or motivational aspects that precede or follow autistic sensory experiences. Here, we present the results of a translation of the SPQ to German and its short version as well as their validation in samples of autistic or neuro-typical participants. We, furthermore, present the psychometric properties and validities of Tavasolli's original SPQ-short version as well as an alternative short version based on different psychometric item-selection criteria. We can show here that our alternative SPQ-short version, overlapping with the original short-version in 61% of its items, exhibits superior reliabilities, reasonable concurrent validities with other related measures. It, furthermore, exhibits excellent differentiation between autistic and non-autistic samples, underscoring its utility as a screening instrument in research and a clinical instrument to supplement the ASD diagnostic process.

Factors influencing medical students' approaches to learning in Qatar.

BACKGROUND: This study investigated the relevance of the revised 2-factor study process questionnaire (R-SPQ-2F) for exploring medical students' approaches to learning in Qatar and identify how factors like gender, age, educational attainment, and prior experience with health care influence students' adoption of deep approaches to learning. METHODS: The sample consisted of 108 medical students (44% male, 56% female) from all four years of medical school at Weill Cornell Medicine-Qatar (WCM-Q). Participants completed the 20-item R-SPQ-2F questionnaire to measure their learning approaches through a structural model contrasting deep and surface learning. Participants also completed a survey collecting demographic information. RESULTS: Statistical analysis revealed significant differences in deep learning approaches across year levels for both men and women. Additionally, educational attainment played a significant role in students' approaches to learning. CONCLUSIONS: Based on structural equation modeling, this cross-verification study supports the R-SPQ-2F instrument and offers additional evidence for its robustness and application to medical education. These findings may help educational and program leaders in Qatar better understand medical students' learning approaches to enhance their pedagogical practices.

Measuring fear evoked by the scariest animal: Czech versions of the Spider Questionnaire and Spider Phobia Beliefs Questionnaire.

BACKGROUND: Although tiny in size and mostly harmless, spiders evoke exceptional fear in a significant part of the population and arachnophobia is one of the most common anxiety disorders with prevalence 2.7-6.1%. Two standard measures have been widely used to reliably assess the emotional and cognitive component of spider fear, the Spider Questionnaire (SPQ) and Spider Phobia Beliefs Questionnaire (SBQ). We aimed to develop and validate their Czech translations, describe distribution of spider fear in the Czech population, and analyse its association with disgust propensity and other sociodemographic characteristics. METHODS: In Phase 1, we developed Czech translations of both questionnaires using a back-translation procedure and then tested their psychometric properties against their English versions in a counterbalanced experimental design using the Mann-Whitney U test and two-sided t-test. In Phase 2, we analysed scores on the Czech SPQ and SBQ on a larger sample. We evaluated the effects of age, gender, level of education, biology background, and association with the assessments of snake fear (i.e. the Snake Questionnaire, SNAQ) and disgust propensity (i.e. the Disgust Scale-Revised, DS-R) using a Spearman correlation, redundancy analysis, and general linear models. RESULTS: We have demonstrated that the Czech SPQ and SBQ are equivalent to their originals and show excellent test-retest reliability (SPQ: 0.93; SBQ: 0.87-0.90). In total, 398 (10.3%) out of 3863 subjects reached the cut-off point for potential spider phobia. In addition, SPQ and SBQ scores were highly correlated (0.73-0.79), significantly more than with the SNAQ (0.21-0.32) or the DS-R (0.36-0.40). Two multivariate statistical methods revealed a significant association between the gender, age, level of education, biology background, or disgust propensity and the SPQ scores. CONCLUSION: The Czech SPQ and SBQ may produce reliable and valid assessments of spider fear, but they must be further psychometrically tested considering the limitation of this study before wider use. We corroborate previous findings that fear of spiders is significantly associated with sociodemographic variables, such as gender, age, or education, as well as with the individual level of disgust propensity.

New methods of top-to-down mixture toxicity prediction: A case study of eliminating of the effects of cosolvent from binary mixtures.

At present, the toxicity prediction of mixtures mainly focuses on the concentration addition (CA) and independent action (IA) based on individual toxicants to predict the toxicity of multicomponent mixtures. This process of predicting the toxicity of multicomponent mixtures based on single substances or low component mixtures is called down-to-top method in this study. However, due to the particularity of some toxicants, we have to use the top-to-down idea to obtain or eliminate the toxicity of some components from mixtures. For example, the toxicity of toxicants is obtained from the toxicity of a mixture with, especially toxic, cosolvent added. In the study, two top-to-down methods, the inverse CA (ICA) and inverse IA (IIA) models, were proposed to eliminate the effects of a certain component from multicomponent mixtures. Furthermore, taking the eight binary mixtures consisting of different shapes of cosolvents (isopropyl alcohol (IPA) having hormesis and dimethyl sulfoxide (DMSO)) and toxicants (two ionic liquids and two pesticides) as an example, combined with the interaction evaluated by CA and IA model, the influence of different shapes of components on top-to-down toxicity prediction was explored. The results showed that cosolvent IPA having hormesis may cause unpredictable effects, even at low concentrations, and should be used with caution. For DMSO, most of the toxicant's toxicity obtained by ICA and IIA models were almost in accordance with those observed experimentally, which showed that ICA and IIA could effectively eliminate the effects of cosolvent, even if toxic cosolvent, from the mixture. Ultimately, a frame of cosolvent use and toxicity correction for the hydrophobic toxicant were suggested based on the top-to-down toxicity prediction method. The proposed methods improve the existing framework of mixture toxicity prediction and provide a new idea for mixture toxicity evaluation and risk assessment.

Subjective Impact of the COVID-19 Pandemic on Schizotypy and General Mental Health in Germany and the United Kingdom, for Independent Samples in May and in October 2020.

Studies reported a strong impact on mental health during the first wave of the COVID-19 pandemic in March-June, 2020. In this study, we assessed the impact of the pandemic on mental health in general and on schizotypal traits in two independent general population samples of the United Kingdom (May sample N: 239, October sample N: 126; participation at both timepoints: 21) and in two independent general population samples of Germany (May sample N: 543, October sample N: 401; participation at both timepoints: 100) using online surveys. Whereas general psychological symptoms (global symptom index, GSI) and percentage of responders above clinical cut-off for further psychological investigation were higher in the May sample compared to the October sample, schizotypy scores (Schizotypal Personality Questionnaire) were higher in the October sample. We investigated potential associations, using general linear regression models (GLM). For schizotypy scores, we found that loneliness, use of drugs, and financial burden were more strongly corrected with schizotypy in the October compared to the May sample. We identified similar associations for GSI, as for schizotypy scores, in the May and October samples. We furthermore found that living in the United Kingdom was related to higher schizotypal scores or GSI. However, individual estimates of the GLM are highly comparable between the two countries. In conclusion, this study shows that while the general psychological impact is lower in the October than the May sample, potentially showing a normative response to an exceptional situation; schizotypy scores are higher at the second timepoint, which may be due to a stronger impact of estimates of loneliness, drug use, and financial burden. The ongoing, exceptional circumstances within this pandemic might increase the risk for developing psychosis in some individuals. The development of general psychological symptoms and schizotypy scores over time requires further attention and investigation.

Enfoques de aprendizaje en estudiantes argentinos de nivel secundario y universitario / Learning approaches in Argentinean high school and university students

Resumen Los enfoques de aprendizaje permiten conocer el modo en que los estudiantes perciben y aprenden los contenidos académicos. El sistema universitario local registra elevadas tasas de fracaso y deserción estudiantil al inicio del ciclo académico. Por esta razón, se analizan los aprendizajes de estudiantes de nivel secundario y universitario. Se aplicó el Cuestionario de Procesos de Estudio Dos Factores a 797 estudiantes (44 % secundarios; 56 % universitarios). Se analizó primero la estructura interna del instrumento con muestras de estudiantes de nivel secundaria y universitario. Luego un MANCOVA halló efectos multivariados de las variables sexo, nivel educativo y la interacción entre sexo y nivel educativo, sobre los enfoques de aprendizaje. Se concluye que el cuestionario presenta adecuadas propiedades psicométricas en ambos grupos de estudiantes. Además, se observaron diferencias en los enfoques entre estudiantes de secundaria y universitario, pudiéndose planificar actividades educativas orientadas a mejorar los resultados académicos durante el período de transición.

Abstract Learning approaches allow us to know how students perceive and learn academic content. The local university system records high rates of student failure and dropout at the beginning of the academic year. For this reason, the learning approaches of high school and university students are analyzed. The Two-Factor Study Process Questionnaire was applied to 797 students (44 % high school; 56 % university students). The internal structure of the instrument was first analyzed with samples of high school and university students. Then a MANCOVA found multivariate effects of the variables sex, educational level and interaction between sex and educational level, on learning approaches. It is concluded that the questionnaire presents adequate psychometric properties in both groups of students. In addition, differences in approaches were observed between high school and university students, and educational activities aimed at improving academic results during the transition period can be planned.

The impact of the COVID-19 pandemic on mental health in the general population: a comparison between Germany and the UK.

BACKGROUND: The COVID-19 pandemic has led to dramatic social and economic changes in daily life. First studies report an impact on mental health of the general population showing increased levels of anxiety, stress and depression. In this study, we compared the impact of the pandemic on two culturally and economically similar European countries: the UK and Germany. METHODS: Participants (UK = 241, German = 541) completed an online-survey assessing COVID-19 exposure, impact on financial situation and work, substance and media consumption, mental health using the Symptom-Check-List-27 (SCL-27) and the Schizotypal Personality Questionnaire. RESULTS: We found distinct differences between the two countries. UK responders reported a stronger direct impact on health, financial situation and families. UK responders had higher clinical scores on the SCL-27, and higher prevalence. Interestingly, German responders were less hopeful for an end of the pandemic and more concerned about their life-stability. CONCLUSION: As 25% of both German and UK responders reported a subjective worsening of the general psychological symptoms and 20-50% of German and UK responders reached the clinical cut-off for depressive and dysthymic symptoms as well as anxieties, it specifically shows the need for tailored intervention systems to support large proportions of the general public.

Assessing the educational impact of cognitive level of MCQ and SEQ on learning approaches of dental students.

OBJECTIVES: MCQ's and SEQ's are the most widely used assessment tool in dental colleges across Pakistan. This study explores the impact of assessment tool: MCQ's and SEQ's on learning approach of dental students and also identifies correlation between these assessment tools and deep & surface learning approaches in integrated and discipline based curriculum. METHODS: A quantitative co-relational study was conducted in 2018 on 2nd and 4th year dental students. A pre-validated "Revised Study Process Questionnaire" was used. Spearman's rho correlation coefficient and Wilcoxon signed ranks test were applied to determine the relationship between learning approaches and assessment tools. Internal consistency was calculated by Cronbach's alpha. RESULTS: Ninety six students out of one hundred and fifty completed the questionnaire. Correlation test showed that surface approach correlates significantly with MCQ's (0.73) while no co-relation exists with SEQ's (-0.14) in our study. Deep approach has a strong and significant correlation with SEQ's (0.80) as compared to MCQ's (0.056). CONCLUSION: Assessment tool has an impact on learning approaches used by the students. It was concluded that students used to prefer deep learning approach while preparing for SEQ's as they were designed at higher cognitive level, whereas, they preferred surface approach while preparing for MCQ's as they were developed at low cognitive order.

Schizotypy, neuroticism, and saccadic eye movements: New data and meta-analysis.

Deficits on saccade tasks, particularly antisaccade performance, have been reliably reported in schizophrenia. However, less evidence is available on saccade performance in relation to schizotypy, a personality constellation harboring risk for schizophrenia. Here, we report a large empirical study of the associations of schizotypy and neuroticism with antisaccade and prosaccade performance (Study I). Additionally, we carried out meta-analyses of the association between schizotypy and antisaccade error rate (Study II). In Study I, N = 526 healthy individuals from the general population aged 18-54 years completed prosaccade and antisaccade tasks as well as the Schizotypal Personality Questionnaire (SPQ). Schizotypy was significantly associated with increased antisaccade error rate, with the disorganized dimension emerging as strongest predictor (ß = .118, p = .007). Neuroticism emerged as a significant predictor for prosaccade gain (ß = .103, p = .023) and antisaccade latency (ß = .101, p = .025). In Study II, random-effects meta-analyses were performed on the published data and those from Study I. Meta-analyses revealed significant associations (all p ≤ .003) of antisaccade error rate with positive (g = 0.37), negative (g = 0.26), disorganized (g = 0.36) and overall schizotypy (g = 0.37). Overall, the present work replicates the association between antisaccade direction errors and schizotypy. Significant findings from meta-analyses provide further evidence of the antisaccade error rate as a putative schizophrenia spectrum marker.

Biological Toxicity Effects of Soil Pollution Caused by Galvanized Wastewater Based on Vibrio Qinghaiensis sp.-Q67.

ABSTRACT: Objective To establish a rapid diagnosis method for the biological toxicity of soil, accurately and rapidly evaluate the toxicity of contaminated sites and identify the dominant pollutants. Methods Take the soil pollution of a galvanized factory as an example, while the metal concentration level was analyzed and detected, a rapid biological toxicity detection method based on the acute toxicity test of luminescent bacteria （Vibrio qinghaiensis sp.-Q67） was established, and the dominant pollutants were identified by stepwise multiple regression. Results The pollutants came from wastewater and metal plating fragments directly discharged from the manufacturing line of the factory. The concentration of those pollutants was correlated with the acute toxicity of Vibrio qinghaiensis sp.-Q67. The dominant pollutants in the study were zinc （Zn）, aluminum （Al） and copper （Cu）. Conclusion The luminescent bacteria toxicity test method based on Vibrio qinghaiensis sp.-Q67 can conveniently and rapidly assess the degree of toxic damage of polluted soil and identify the dominant pollutants and can be applied to the acute toxicity evaluation of polluted soil.

[Structure of schizotypal traits in the Russian population]. / Struktura shizotipicheskikh chert v rossiiskoi populyatsii.

Establishing the structure of schizotypal traits and its cross-cultural and demographic universality is an important condition for increasing the effectiveness of prognosis of schizophrenic spectrum disorders and basic research on their etiology. The present study aimed to explore the structure of schizotypal traits measured by the Schizotypal Personality Questionnaire (SPQ-74) in the Russian population. Exploratory and confirmatory factor analyses of the factor structure of SPQ-74 were performed using a sample of 1316 people of a wide age range. It is shown that, in the Russian population, the four-factor «paranoid¼ model of N. Stefanis et al. had the best fit for the data. The multivariate confirmatory analysis evidenced the gender invariance of the model.