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Diverse and complex microbiomes are found in virtually every environment on Earth. Bacteria and fungi often co-dominate environmental microbiomes, and there is growing recognition that bacterial-fungal interactions (BFI) have significant impacts on the functioning of their associated microbiomes, environments, and hosts. Investigating BFI in vitro remains a challenge, particularly when attempting to examine interactions at multiple scales of system complexity. Fabricated devices can provide control over both biotic composition and abiotic factors within an experiment to enable the characterization of diverse BFI phenotypes such as modulation of growth rate, production of biomolecules, and alterations to physical movements. Engineered devices ranging from microfluidic chips to simulated rhizosphere systems have been and will continue to be invaluable to BFI research, and it is anticipated that such devices will continue to be developed for diverse applications in the field. This will allow researchers to address specific questions regarding the nature of BFI and how they impact larger microbiome and environmental processes such as biogeochemical cycles, plant productivity, and overall ecosystem resilience. Devices that are currently used for experimental investigations of bacteria, fungi, and BFI are discussed herein along with some of the associated challenges and several recommendations for future device design and applications. [ABSTRACT FROM AUTHOR]

Diverse and complex microbiomes are found in virtually every environment on Earth. Bacteria and fungi often co-dominate environmental microbiomes, and there is growing recognition that bacterial-fungal interactions (BFI) have significant impacts on the functioning of their associated microbiomes, environments, and hosts. Investigating BFI in vitro remains a challenge, particularly when attempting to examine interactions at multiple scales of system complexity. Fabricated devices can provide control over both biotic composition and abiotic factors within an experiment to enable the characterization of diverse BFI phenotypes such as modulation of growth rate, production of biomolecules, and alterations to physical movements. Engineered devices ranging from microfluidic chips to simulated rhizosphere systems have been and will continue to be invaluable to BFI research, and it is anticipated that such devices will continue to be developed for diverse applications in the field. This will allow researchers to address specific questions regarding the nature of BFI and how they impact larger microbiome and environmental processes such as biogeochemical cycles, plant productivity, and overall ecosystem resilience. Devices that are currently used for experimental investigations of bacteria, fungi, and BFI are discussed herein along with some of the associated challenges and several recommendations for future device design and applications.

The pandemic has boosted online activity and caused a rise in cyber threats and crime. In response, the study aimed to identify Big Five Inventory (BFI) characteristics that determine a student's risk status. A quantitative approach was employed, and 311 undergraduate students were randomly selected as respondents. The survey instrument assessed BFI characteristics, security knowledge, IT service usage, and security practices. Spearman correlation analysis revealed that BFI characteristics The BFI characteristics that indicate the highest relevance to being At Risk fall under Neuroticism (33.33%). Universities can develop tailored solutions and effective security measures that target specific personality traits, thereby enhancing overall information security. [ABSTRACT FROM AUTHOR]

The purpose of this study was to adapt a Japanese version of the Big Five Inventory-2 (BFI-2-J) to examine its factor structure, reliability, validity, and measurement invariance. The BFI-2-J assesses five domains and 15 facets of the Big Five personality traits. We analyzed two datasets: 487 Japanese undergraduates and 500 Japanese adults. The results of the principal component analysis and confirmatory factor analysis revealed that the domain-facet structure of the BFI-2-J was similar to that of other language versions. The reliability of the BFI-2-J is sufficient. The correlation coefficients between the BFI-2-J and the other Big Five and self-esteem measures supported convergent and discriminant validity. Moreover, we confirmed measurement invariance across age and sex groups in domain-level and facet-level models. The results suggest that the BFI-2-J is a good instrument for measuring the Big Five personality traits and their facets in Japan. The BFI-2-J is expected to be useful in Japanese personality research and international comparative research.

Considering the impact of pandemic condition on mental health and functioning in daily life, the main purpose of this study was to investigate the relationship between Big Five personality traits, coping strategies and emotional problems such as symptoms of depression and anxiety, during the COVID-19 pandemic period. Specifically, the purpose of this study is to create a model of the impact of coping strategies as mediating factors in the relationship between Big Five personality traits personality traits and emotional problems. For the purposes of this study, a sample of 200 Kosovar respondents was used, where the age of the participants varies from 18 to 54 years. As a result of the pandemic situation created, the method of data collection for this study was done in the form of self-reporting, divided into physical questionnaires and online ones. The BFI Personality Inventory is used to classify Big Five personality traits, the Coping Control Checklist (WCCL) to classify coping strategies, and the Adult Self-Reporting Questionnaire (ASR) used to identify emotional problems. The analysis of the results in this study was done by means of the statistical package of SPSS and R program. After the analysis, it is seen that there is a significant correlation between Big Five personality traits (extraversion and neuroticism) and coping strategies (seeking social support and avoidance), as well as there is a correlation between Big Five personality traits (compliance and neuroticism) and emotional problems (symptoms of anxiety and depression). An association was also found between coping strategies (avoidance) and emotional problems (anxiety symptoms). As for gender differences in experiencing anxiety and depression symptoms and using desired thoughts as coping strategies, it was found that women are more predisposed to experience anxiety symptoms and use desired thoughts than men. The findings highlighted the part that coping strategies are significant mediator factors in the relationship between Big Five personality traits and emotional problems. [ABSTRACT FROM AUTHOR]

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, healthcare professionals were more frequently affected by post-traumatic stress disorder than the general population. The purpose of this historical, prospective study was to determine the influence of occupational stressors and personality traits on the magnitude of post-traumatic stress symptoms in nurses. The secondary objective was to examine the mediating role of protective equipment use on the relationship between exposure to pandemic-related stressors and levels of post-traumatic stress symptoms in nurses. Methods: The study was conducted after the first wave of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic among nurses working at the University Hospital of Split, Croatia. A total of 380 nurses completed the web-based survey. Among them, 217 (57.1%) worked with COVID-19 patients and 163 (42.9%) worked in non-COVID departments. A quantitative, cross-sectional, descriptive, and comparative design was used. Results: Personality traits (introversion, neuroticism, and openness), along with exposure to work stressors (public criticism, workplace hazards and harms, and work conflicts) and direct exposure to work with patients suffering from SARS-CoV-2 infection, may serve as significant risk factors for the development of post-traumatic stress symptoms (p < 0.05). The use of protective equipment did not alter the effect of exposure to pandemic-related stressors on the amount of trauma experienced during the COVID-19 pandemic. Conclusion: Personality characteristics and levels of work stress are the most important predictors of the development of post-traumatic stress symptoms in nurses who worked during the first wave of the COVID-19 pandemic. Healthcare facilities and their leaders need to make more efforts to provide better psychosocial support services for nurses. [ABSTRACT FROM AUTHOR]

Copyright of Film Quarterly / Kwartalnik Filmowy is the property of Kwartalnik Filmowy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Introduction There is growing interest in the fields of psychiatry and psychology in investigating the relationship between personality and psychopathology. The Big-5 is a model developed to investigate five personality dimensions: Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. In the present study, we describe the process of translation into Brazilian Portuguese and adaptation of a free tool to evaluate the Big-5 model: The Big-5 Inventory (BFI). The instrument has 44 items with a Likert response scale ranging from 1 to 5. Objectives To translate and adapt the BFI into Brazilian Portuguese. Methods The adaptation was conducted in the following steps: 1) Translation, 2) Evaluation Committee, 3) Back-translation, 4) Pilot study, 5) Evaluation Committee, and 6) Application. The sample comprised 490 participants from various regions of Brazil. The participants’ ages ranged from 18 to 71 years, most of them had completed high school (62.9%), and the majority were women (75%). Results A model with the following fit indexes was found: χ2/df: 1.954; goodness fit index (GFI): 0.924; comparative fit index (CFI): 0.920; and root mean square error of approximation (RMSEA): 0.044. Conclusion The results are suggestive that the Brazilian version of this instrument has good psychometric properties and represent a cost-free option for investigating associations with the Big-5 in psychiatry.

Biorąc za punkt odniesienia film Patricka Keillera London (1994), autor wędruje przez współczesną stolicę Wielkiej Brytanii i rejestruje zmiany, jakie w niej zaszły w ciągu ostatnich kilku dziesięcioleci. Odnotowując postępujące przemiany, konstatuje, że „znikanie” doskonale znanych miejsc z przeszłości oznacza swoiste „znikanie” miasta zachowanego w pamięci, ale jednocześnie pozwala na kształtowanie się nowej przestrzeni miejskiej. (Materiał nierecenzowany).

Low-flow hydrological features are crucial for efficient development and integrated water resources management. Among others, the Base- Flow Index ‘BFI’ is one of the most important low-flow indices. Many studies have demonstrated that it is related to several topographic parameters, climate, vegetation and soil types and to catchment geology. With the aim to enhance the knowledge about the climate and catchment properties’ relative control on the ‘BFI’, an approach consisting of an empirical analysis, applied to a large area located in Southern Italy, characterized by a typical Mediterranean environment, is followed by a simulation experiment, considering climate settings, at the pan- European scale, typical of temperate to dry climate regimes. Main findings have revealed that (i) the correlation structure between the ‘BFI’ and the precipitation volume, at the annual scale, is affected by both climate variability and catchment properties; (ii) the ‘BFI’ variability is strongly conditioned by climate intra- and inter-annual variability; (iii) the major role is, however, assigned to the geological catchment features, with poorly and well-drained catchments behaving differently in response to similar climate forcing variability. [ABSTRACT FROM AUTHOR]

Introduction: There is growing interest in the fields of psychiatry and psychology in investigating the relationship between personality and psychopathology. The Big-5 is a model developed to investigate five personality dimensions: Extroversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. In the present study, we describe the process of translation into Brazilian Portuguese and adaptation of a free tool to evaluate the Big-5 model: The Big-5 Inventory (BFI). The instrument has 44 items with a Likert response scale ranging from 1 to 5. Objectives: To translate and adapt the BFI into Brazilian Portuguese. Methods: The adaptation was conducted in the following steps: 1) Translation, 2) Evaluation Committee, 3) Back-translation, 4) Pilot study, 5) Evaluation Committee, and 6) Application. The sample comprised 490 participants from various regions of Brazil. The participants' ages ranged from 18 to 71 years, most of them had completed high school (62.9%), and the majority were women (75%). Results: A model with the following fit indexes was found: χ²/df: 1.954; goodness fit index (GFI): 0.924; comparative fit index (CFI): 0.920; and root mean square error of approximation (RMSEA): 0.044. Conclusion: The results are suggestive that the Brazilian version of this instrument has good psychometric properties and represent a cost-free option for investigating associations with the Big-5 in psychiatry. [ABSTRACT FROM AUTHOR]

• Eckhardt's filter was calibrated for a Brazilian rural catchment using dissolved silica data. • An optimum BFI max value of 0.653 was derived, yielding long-term BFI = 54 %. • The calibrated Eckhardt's filter outperformed three other separation models. • The 'backward filter' produced unrealistic baseflows, almost identical to stream flows. • Graphical method overestimated baseflow (+19 %); CM filter underestimated baseflow (−19 %). The Eckhardt's filter, a recursive digital filter widely used in hydrology to separate baseflow, relies on two parameters: the recession constant (a) and the maximum allowable long-term ratio of baseflow to streamflow (BFI max). While a can be determined through regression analyses, BFI max is often assigned an arbitrary value because of limited catchment information for a more objective determination. This study aimed to assess and calibrate BFI max for a 1.2 km2 rural catchment in southern Brazil using dissolved silica data. Calibration involved minimizing differences between filter-generated baseflow hydrographs and those derived from dissolved silica measurements and mass balance across 13 monitored rainfall-runoff events. The calibrated model was compared to three established models: a modified graphical method based on local minima, a backward filter model, and a one-parameter filter. The results yielded an optimal BFI max of 0.653 with high model performance (PBias ≈ 0, NSE = 0.85, KGE = 0.74, and NRMSD = 13 %) against silica-derived baseflow. Applying the calibrated filter to a six-year streamflow dataset yielded a long-term baseflow index (BFI) value of 54 %, aligned with regional and global averages. Comparisons with other models showed that the backward filter model produced unrealistic baseflow values nearly identical to streamflow values; the local minima method overestimated baseflow by +19 % and failed to accurately represent the smoothness and peaks of the baseflow hydrographs; and the one-parameter filter represented the shape and timing of the baseflow hydrographs well, but underestimated magnitude by −19 %. These findings validate the effectiveness of the Eckhardt's filter in generating accurate baseflow hydrographs and confirm the importance of calibrating BFI max for optimal performance. The research also endorses the use of dissolved silica measurements and the mass balance method as a reliable approach for calibrating BFI ma x for long-term assessment of baseflows. [ABSTRACT FROM AUTHOR]

Introduction: The Covid-19 pandemic has significantly affected the emotional, mental and behavioral sphere endangering the psychological well-being of individuals. The aim of this study, therefore, is to examine the relationship between personality traits according to the Big Five model with resilience and somatic symptoms, with a focus on the local context during the COVID-19 pandemic period. Specifically, the aim of the study is to create a model in which the relationship and influence of personality traits on somatic symptoms is described, mediated by resilience. Methodology: for the purposes of this study, a total sample of 200 respondents from the Kosovar population, aged 18-59 years, was used. The method used in this research is the survey method, through self-report questionnaires. Due to the pandemic conditions in Kosovo, data collection was carried out in two methods, in physical form and in online form through google forms. Personality Inventory (BFI), used to classify personality traits, Short Residence Inventory (BRS), used to measure respondents' level of resilience, the World Health Organization (WHO) Welfare Index (WHO-5) is used to measure the general psychological well-being of the respondents, while the Adult Self-Reporting Questionnaire (ASR) was used to identify the somatic symptoms of the respondents. This research is quantitative with correlational design. Results: The results of this study were analyzed through the Statistical Package for Social Sciences (SPSS) and the statistical program R. The study presents a significant correlation between personality traits such as extraversion and neuroticism with resilience and somatic symptoms. At the same time, this research presents a significant correlation between the construct of resilience and somatic symptoms. The study also provides data on gender differences in the level of resilience, with men reporting a higher level of resilience than women. Another finding of the study shows that there is also a significant correlation between resilience and the general level of psychological well-being of respondents during the pandemic period. The study also highlights the part of the mediation model in which resilience has been found to be a significant mediating factor in the relationship between personality traits and somatic symptoms. Conclusion: the findings highlighted that resilience is a significant mediating factor in the relationship between personality traits and somatic symptoms. [ABSTRACT FROM AUTHOR]

This article looks at the thirty-year history of the Dinard Film Festival (until 2018, the Dinard Festival of British Film), with a particular focus on the financial support provided by bodies with industrial and/or cultural remits: specifically, the UK Film Council, the British Council and the British Film Institute. As I discuss, Dinard is a significant case study for understanding the British film-industrial relationship with France, but also for analysing the interrelationship between economic and cultural policy-making in the British film industry. As I also argue, looking at the history of the Dinard festival offers a significant example of the ways such showcases for 'national cinema' are bound up with the shifting contexts of film-industry policymaking. As I conclude, the changing economic fortunes in British film, and the economic contexts informing UK film policy, have not only impacted on Dinard, but also given the festival a renewed outlook – as well as a more political one in the recent contexts of the UK's EU referendum and 'Brexit'. [ABSTRACT FROM AUTHOR]

The purpose of this study was to adapt a Japanese version of the Big Five Inventory-2 (BFI-2-J) to examine its factor structure, reliability, validity, and measurement invariance. The BFI-2-J assesses five domains and 15 facets of the Big Five personality traits. We analyzed two datasets: 487 Japanese undergraduates and 500 Japanese adults. The results of the principal component analysis and confirmatory factor analysis revealed that the domainfacet structure of the BFI-2-J was similar to that of other language versions. The reliability of the BFI-2-J is sufficient. The correlation coefficients between the BFI-2-J and the other Big Five and self-esteem measures supported convergent and discriminant validity. Moreover, we confirmed measurement invariance across age and sex groups in domain-level and facet-level models. The results suggest that the BFI-2-J is a good instrument for measuring the Big Five personality traits and their facets in Japan. The BFI-2-J is expected to be useful in Japanese personality research and international comparative research. [ABSTRACT FROM AUTHOR]

It is important to investigate the response of hydrological drought to meteorological drought and its influencing factors, which might help better to understand drought evolution mechanisms and facilitate its monitoring and forecast. For example, in the western part of Algeria, the frequency of droughts events increased with considerable impact on local water resources. To investigate the response behavior in this region, the Pearson's correlation between both droughts is analyzed using the drought index method. Four drought indices deviated from the period 1970 to 2010 based on a comprehensive dataset of hydro-meteorological measures are employed for this purpose. In the light of the obtained results, a high variability in hydrological drought response over the study area was found depending on the paired indices and the time scales considered. Using the base flow index (BFI) results, it revealed that hydrological drought evolution is affected by a combination of meteorological conditions and basin properties, but not in a similar way. Besides, the analysis of this relationship using the Relative Operating Characteristic (ROC) showed that it can be used to distinguish between events and non-events as the correlation is stronger. [ABSTRACT FROM AUTHOR]

In this paper, a structure depending on a birefringent interferometer (BFI) cascaded with polarization-maintaining FBG (PM-FBG) is proposed and experimentally demonstrated. Two different kinds of PM optical fiber spliced with a 45° rotation between their polarization axes composed of BFI. The dip wavelength shifts have a function with the surrounding strain and temperature. To detect the surrounding refractive index (RI), the Michelson interferometer (MI) implemented with waist-enlarged technology is also proposed. Though evaluating the quality of the birefringent interferometric, MI, and PM-FBG signals as a function of temperature, strain, and refraction index, it has been found that this compact sensor can detect these three parameters. We expect this novel sensor to be of great value for bright structural applications. [ABSTRACT FROM AUTHOR]

Aim of the study: The objective of this publication is to evaluate the impact of forest areas and urbanized areas on process of river runoff over the years, along with an analysis of the development of hydrographs in selected catchments for the upper Vistula (Wisła) region. Material and methods: For the purpose of the present analyses, the following data were used: vector data from the Computer Database of the Hydrographic Division Map of Poland (MPHP), 2010 on the scale of 1:50000 obtained from the National Water Management Authority (MPHP, 2019); hydrological data from the database of the Institute of Meteorology and Water Management (PIB), namely daily flow values in 4 water gauge cross-sections located on the Bystra, Wisła, Wieprzówka and Biała rivers for the measurement period 1981–2017 (IMGW PIB, 2019); meteorological data from the database of the Institute of Meteorology and Water Management of the National Research Institute including daily sums of precipitation for the stations: Kamesznica, Wisła – Malinka, Wadowice, Gierałtowice, Straconka, Szczyrk and Mazańcowice for the period 1981–2017 (IMGW PIB, 2019); data on land development and land use in the catchment area, that is, vector data from CLC1990 and CLC2012 databases on the scale of 1:100000 (CLC, 2019). The maximum hydrographs recorded in 1991 and 2010 were subjected to detailed analysis. The recorded discharge hydrographs were transformed into the unified format of the hydrographs proposed by Archer (Archer et al., 2000; Gądek, 2017). Based on the data, the SPR (standard percentage runoff) index was determined and the formula for calculating the SPR index based on the BFI base flow index was evaluated. Results and conclusions: The obtained results are presented in the figures and tables. The analyses did not show the impact of forested and impervious surfaces on the runoff from the catchment. The adopted SPR index proved to be ineffective as impact indicator. In addition, determining the value of this index is very difficult and it requires well-functioning hydro-meteorological monitoring system.

El Modelo de los Cinco Factores (ffm) de la personalidad predomina en la literatura científica y el Inventario de los Cinco Grandes (bfi) constituye una de sus principales evaluaciones. Considerando las limitaciones de estudios previos, el objetivo del presente artículo fue explorar la dimensionalidad del instrumento de evaluación bfi, evaluar los factores de orden superior y analizar sus relaciones con la autoestima, la edad y el sexo de los participantes. Participaron 549 estudiantes universitarios. Los resultados indicaron adecuadas propiedades psicométricas para el bfi y para el modelo de dos factores de orden superior. Además, se observaron diferencias significativas según el sexo en amabilidad y neuroticismo, relaciones entre edad, neuroticismo y responsabilidad, así como también relaciones entre ambos factores de orden superior y la autoestima.

This article addresses the role of data in measuring diversity in the UK film industry and its mediation of underrepresented identities excluded from the sector. Through a data-led analysis of gender representation across 235 British films made from 2016, this study assesses the impact and success of the interventions made by the BFI Diversity Standards within the film industry, analysing the response data collected by the BFI for film productions that have adhered to the standards as a condition for production support. What empirical evidence do the Diversity Standards' data offer for a link between gender representation and key roles, genres, and regional locations? The article then identifies some of the key drivers influencing the primacy of particular identities across the standards. I want to argue that gender-positive diversity, whilst representing a slender challenge to exclusion via the structural decrees of the BFI policy, can also be understood as the result of intra-race homophily, one that sustains a culture of whiteness and racial exclusion. The article concludes by considering the position of senior white men as the structuring agents upon whom rest the power to permit women entry, and the implications of both an absence of intersectional data and the rigid identity categories of the standards for the inclusion of BAME women in the film industry workforce. [ABSTRACT FROM AUTHOR]

Near-infrared diffuse correlation spectroscopy (NIR-DCS) is an optical technique for estimating relative changes in skeletal muscle perfusion during exercise but may be affected by changes in cutaneous blood flow, as photons emitted by the laser must first pass through the skin. Accordingly, the purpose of this investigation was to examine how increased cutaneous blood flow affects NIR-DCS blood flow index (BFI) at rest and during exercise using a passive whole body heating protocol that increases cutaneous, but not skeletal muscle, perfusion in the uncovered limb. BFI and cutaneous perfusion (laser-Doppler flowmetry) were assessed in 15 healthy young subjects before (e.g., rest) and during 5 min of moderate-intensity handgrip exercise in normothermic conditions and after cutaneous blood flow was elevated via whole body heating. Hyperthermia significantly increased both cutaneous perfusion (≤7.3-fold; P = 0.001) and NIR-DCS BFI (≤4.5-fold; P = 0.001). Although relative BFI (i.e., fold-change above baseline) exhibited a typical exponential increase in muscle perfusion during normothermic exercise (2.81 ± 0.95), there was almost no change in BFI during hyperthermic exercise (1.43 ± 0.44). A subset of eight subjects were subsequently treated with intradermal injection of botulinum toxin-A (Botox) to block heating-induced elevations in cutaneous blood flow, which 1) nearly abolished the hyperthermia-induced increase in BFI and 2) restored BFI kinetics during hyperthermic exercise to values that were not different from normothermic exercise (P = 0.091). Collectively, our results demonstrate that cutaneous blood flow can have a substantial, detrimental impact on NIR-DCS estimates of skeletal muscle perfusion and highlight the need for technical and/or pharmacological advancements to overcome this issue moving forward. [ABSTRACT FROM AUTHOR]

This article addresses the role of data in the analysis of racial diversity in the UK film industry. Due to the prolonged poor representation of racial difference, academic researchers increasingly identify the UK film sector as a particular site of multi-dimensional structural inequalities. This article will assess the impact of data-led interventions made by the UK film industry to increase the presence of BAME individuals within the sector. It will do this through an analysis of the policy approach of the UK's lead body for film, the British Film Institute, examining how one major policy initiative, the BFI's Diversity Standards launched in 2016 as an industry intervention into prevailing sector inequalities, has sought to achieve racial diversity and inclusion across its Film Fund-supported film productions between 2016 and 2019. Analysing cross-sectional data from 235 films which is aggregated across differing film genres, budgets and regions, the study assesses how the outcomes of the Diversity Standards have offered a representation of racial diversity across these production areas. [ABSTRACT FROM AUTHOR]

Nations the world over are increasingly turning to quantitative performance-based metrics to evaluate the quality of research outputs, as these metrics are abundant and provide an easy measure of ranking research. In 2010, the Danish Ministry of Science and Higher Education followed this trend and began portioning out a percentage of the available research funding according to how many research outputs each Danish university produces. Not all research outputs are eligible: only those published in a curated list of academic journals and publishers, the so-called BFI list, are included. The BFI list is ranked, which may create incentives for academic authors to target certain publication outlets or publication types over others. In this study we examine the potential effect these relatively new research evaluation methods have had on the publication patterns of researchers in Denmark. The study finds that publication behaviors in the Natural Sciences & Technology, Social Sciences and Humanities (SSH) have changed, while the Health Sciences appear unaffected. Researchers in Natural Sciences & Technology appear to focus on high impact journals that reap more BFI points. While researchers in SSH have also increased their focus on the impact of the publication outlet, they also appear to have altered their preferred publication types, publishing more journal articles in the Social Sciences and more anthologies in the Humanities. [ABSTRACT FROM AUTHOR]

Copyright of Revista Interamericana de Psicología is the property of Sociedad Interamericana de Psicologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A novel method for the detection of triacylglycerides was reported with a pure, stable, label-free enzyme functionalized optical fiber detector. This method has been accomplished by immobilizing Zeolitic imidazolate framework-8 (ZIF-8) packaged lipase on the tapered optical fiber. The evanescent field is generated by tapering the optical fiber birefringent interferometer (BFI). Usage of ZIF-8/lipase as a biosensing film on optical fiber has not previously been reported. 4-nitrophenyl palmitate (4-NP) is used to determine the stability of the lipase encapsulated in ZIF-8. Tapered BFI works at a refractive index (RI), which matches the turning point to provide high sensitivity. The wavelength shift has a quadratic polynomial response relationship with the concentration of triacylglycerol, showing enhanced sensitivity and bio-selectivity. LOD (Limit of detection) of $0.17~\mu \text{M}$ and 0.23 nM is obtained with diameters of $10~\mu \text{m}$ and $7~\mu \text{m}$ , respectively. This sensor can be applied to triacylglycerides detection, requiring a low volume of blood for each sample. [ABSTRACT FROM AUTHOR]

The bacterial biofilm formation index (BFI) is measured by a microtiter plate assay, and it is typically performed at 72 hr. However, the dynamics of biopolymer formation change during this incubation period. The aims of this study were to follow the biofilm formation dynamics of Vibrio strains isolated from samples of seafood and food contact surfaces (FCS) and to propose a new BFI classification criterion. Samples from seafood (136) and FCS (14) were collected from retail markets in Queretaro, Mexico. The presence of Vibrio spp. was determined, the strains were isolated, and the six major pathogenic species (V. cholerae, V. alginolyticus, V. fluvialis, V. parahaemolyticus, V. vulnificus, V. mimicus) were identified by PCR. The BFI of the isolates was determined by the microtiter plate method. Fifty‐one strains were isolated and identified as V. alginolytivcus (25), V. vulnificus (12), V. cholerae (7), V. parahaemolyticus (6), and V. mimicus (1). A quantitative classification criterion of biofilm formation was proposed based on the following factors: BFI dynamics (no formation, continuous increase, and increase followed by decrease), time of maximum BFI (early: 24 hr; late: 48 to 72 hr), and degree of BFI (none, weak, moderate, and strong). A numerical value was assigned to each factor to correlate the resulting BFI profile with a risk level. Thirteen BFI profiles were observed, having risk level values from 0 to 10. Vibrio alginolyticus, V. cholerae, and V. vulnificus showed the highest BFI profile diversities, which included the riskiest profiles. The proposed BFI criterion describes the dynamics of bacterial biopolymer formation and associates them with the possible risk implications. Practical Application: In food processing environments, the presence of bacterial biofilms that could include foodborne pathogens might favor cross‐contamination due to direct contact or biofilm dispersal into food products. The new quantitative classification criterion for biofilm formation considers their production dynamics over time, the biofilm quantity, and the level of biofilm dispersal. These characteristics are represented by a numerical value that reflects the level of risk associated with the presence of a biofilm‐producing strain on a food contact surface. [ABSTRACT FROM AUTHOR]

Copyright of Diversitas (17949998) is the property of Universidad Santo Tomas, Facultad de Psicologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sensitivity to a stress concentration is important for the development of pharmaceutical tablets as it is related to defects like capping. The Brittle Fracture Index (BFI) was introduced by Hiestand et al. to test this sensitivity. Recently, a more general index, based on the average stress criterion, was proposed as a generalized Hiestand approach. In this work, this new approach is tested on tablets obtained for several products and pressure levels, and results show the wide applicability of the new criterion. Furthermore, X-ray micro-computed tomography was used to link the tablet microstructure and the sensitivity to a stress concentration. A strong correlation was found between the size of the largest pores in the structure and the value of a 0 which quantify the sensitivity to a stress concentration in the generalized Hiestand approach. These results constitute the first attempt to link the brittle fracture propensity of tablets with their effective microstructure. Unlabelled Image • The new average criterion to characterize tablet brittleness was successfully applied to a large set of tablets. • Sensitivity to stress concentration increases when the porosity of the tablet decreases. • XμCT was used to characterize the tablet microstructure. • Correlation between the sensitivity to a stress concentration and the size of the largest pores in the structure. [ABSTRACT FROM AUTHOR]

This article traces the evolution of diversity policy in the British film industry and seeks to explore how the under-representation of BAME groups has been defined vis-à-vis shifting political discourses, in particular those emerging from the Conservative-dominated coalition government which came to power in 2010. This also enables an exploration of how various diversity issues have been addressed within the specifically depoliticised language used to articulate such inequalities within the film sector and an examination of whether recent developments in the British film industry are a genuine challenge to the exclusion of ethnic minorities in British film. At a moment when the diversity agenda has re-emerged, this article offers a critical examination of the ways in which specific political moments have influenced the production and grammar of contemporary diversity policy. The article concludes by offering an analysis of current diversity strategies devised from the beginning of the British Film Institute's role as the lead body for British film production in 2011 to the present day and traces out the patterns of decontextualisation, naturalisation and acquiescence which characterise such strategies. [ABSTRACT FROM AUTHOR]

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A new personality model composed of six factors has been proposed by Ashton and Lee (2004), the HEXACO model, as well a self-report instrument, based on this model, composed of 100 items called, the HEXACO-Personality Inventory-Revised (HEXACO PI-R). The purpose of this study is to adapt the HEXACO instrument to Brazilian-Portuguese as well as validate the measure and observe any relationships with the Five-Factor model of personality. Participants were 397 people aged between 18 and 68 years (M = 29.55; SD = 9.09). We ran an Exploratory Factor Analysis that sustained the six factors, with good internal consistency. As expected, correlations with the Big Five Inventory (Andrade, 2008) were higher for Conscientiousness, Openness and Extroversion factors. In general, the results point to the satisfactory psychometric properties and adequacy of the HEXACO PI-R for use with the Brazilian-Portuguese language. [ABSTRACT FROM AUTHOR]

Baseflow is an all‐important replenishment feature of the hydrologic cycle for maintaining surface water in basins across the world. Understanding its dynamics and the influence of climate variability and human activities will be beneficial for developing sustainable water‐management strategies. In this study, we selected 11 basins within the Loess Plateau (a typical semiarid region in China) for assessment of the variations in baseflow and baseflow index (BFI; the ratio of baseflow volume to total streamflow volume) during the period 1961–2014. We compared eight baseflow separation methods and selected the median series in order to reduce the uncertainty. Results showed that values of the "Bflow" and Eckhardt filter methods were higher than values of the other six methods for the period of peak discharge. Annual baseflow exhibited a statistically significant downward trend (p < 0.01) in all 11 basins except Qingjian and Yanhe basins, while nine basins trended upward for BFI. All basins exhibited downward trends for seasonal baseflow in all seasons, with Yanhe and Qingjian showing the least significant trend. Variations in both baseflow and the BFI were more sensitive to variations in potential evapotranspiration than to variations in precipitation. Across these 11 basins for both the conservation engineering period (1971–1999) and the reforestation period (2000–2014), human activities (73% and 76%, respectively) contributed more than climate variability (27% and 24%, respectively) to average baseflow decline. However, climate variability was the main factor altering the BFI, with the contribution accounting for about 54% and 76%, respectively, for the two periods. Key Points: Eight baseflow separation methods were reviewed and applied to evaluate baseflow variations on the Loess PlateauAnnual baseflow showed a statistically significant downward trend on the Loess PlateauHuman activity contributed more than 73% to average baseflow decline [ABSTRACT FROM AUTHOR]

Highlights • Characterised baseflow index at national scale. • Presented machine learning technique for predicting BFI. • BFI is determined for all river reaches across New Zealand. Abstract Streamflow is typically divided into two components for hydrograph separation, quickflow and baseflow. Baseflow is the portion of streamflow that contains groundwater flow and flow from other delayed sources and is of key importance for river basin ecology and water resources planning and management. The BaseFlow Index (BFI) is defined as the ratio of long-term mean baseflow to total streamflow. Knowledge of the BFI is not directly available for ungauged catchments and hence for most of the terrestrial land surface. In this study, the BFI was determined for all river reaches in New Zealand. First a recursive digital filtering technique was applied to separate baseflow from total streamflow for 482 gauged sites across New Zealand, whereby an individual filter parameter was determined for each catchment. Based on the baseflow and total streamflow data the long-term BFI for each gauged site was determined, as well as seasonal values of BFI. BFI varies between 0.20 and 0.96 with an average of 0.53, which indicates that 53% of long-term streamflow in New Zealand is likely to originate from groundwater discharge and other delayed sources. Long-term BFI values for all river reaches that comprise the New Zealand river network were predicted using the random forest technique. Furthermore, the winter to summer BFI for all river reaches in New Zealand were also determined. Distinct spatial patterns of the BFI were identified. While the spatial distribution and the magnitude of the BFI was determined by a combination of factors, certain patterns can be attributed to geological formations in New Zealand, namely the volcanic plateau region and the Southern Alps. While the dataset determined in this work can support work specifically pertaining to water resources planning and management in New Zealand, in particular water supply, stream ecology and pollution risk, the methodology devised to calculate the BFI for gauged sites and to predict the BFI for ungauged sites is applicable to any region around the world. [ABSTRACT FROM AUTHOR]

The influence of the Agulhas Current on the wave field is investigated. The study is conducted by performing high resolution spectral wave model simulations with and without ocean currents. The validation of the numerical simulations is performed for the Significant Wave Height (Hs) using all possible satellite altimetry data available in the study region for a winter period of 2018. Wave spectra and extreme waves parameters are examined in places where waves and current are aligned in the Agulhas Current. Sentinel-1 (S1) wave mode Synthetic Aperture Radar (SAR) spectra are used to estimate the composites of the Hs and BFI (Benjamin–Feir Index). SAR computed BFI and Hs were compared with the respective composites obtained from the Simulating Waves Nearshore (SWAN) model. From the Hs composites using SAR data and modeled data, it can be concluded that the Hs maxima values are distributed in the Agulhas Current Retroflection (ACR) and also in the southern limit of the domain that is affected by the strong circumpolar winds around Antarctic. In addition, the BFI composites exhibit the highest values in the ACR and some few values are observed in the southern border as occurred with the Hs. The results of this study indicate that there is direct correlation between the Agulhas Current strength, the Hs and the BFI. It was found that the modeled directional wave spectra are broadened when the ocean current is considered in the simulation. The analysis of the modeled wave spectra is performed over eddies, rings and meanders in the Agulhas Current region. The transformation of the wave spectra due to current refraction is discussed based on the numerical simulations. The effect of the Agulhas Current on the spectral shape is explored. The spectral wave energy grows when the wave and the current are aligned, resulting in peaked, elongated and widened spectra. A decrease of the peak period was observed before the occurrence of maximum values of BFI, which characterize abnormal sea states.

• In catchments <300 km2 geology controls daily- to multi-year streamflow variability. • Catchments >300 km2 variability mostly from mixing upstream- and downstream-flow. • JULES land surface model performs poorly in small, high-permeability catchments. • Diverting some rainfall as bypass flow to bedrock improves JULES simulated flow. Geological factors controlling daily- to multi-year discharge variability in 48 sub-catchments spanning 10–1000 km2 in the Thames Basin were investigated using cross-spectral analysis. The analyses represent a 'transfer function approach' applied to daily observed streamflow (output) versus catchment-wide precipitation (input) for data spanning 1990–2014. Catchments dominated by high-permeability bedrock have significant attenuation of high-frequency precipitation variability and large delays at all frequencies with streamflow dominated by baseflow (high lag1 autocorrelation and high Base Flow Index, BFI). Catchments dominated by low-permeability rocks have little high-frequency attenuation and small delays and consequently 'flashy' behaviour. For all sub-catchments >300 km2 in the Thames Basin, attenuation of the highest frequency precipitation variability caused by mixing of flow from upstream plus groundwater flow (representing 'older' variability) with direct surface flow ('younger' variability) constitutes real-world moving averaging as indicated by a roll-off in power at the highest frequencies. The success of the JULES land surface model in simulating discharge (i.e. surface and sub-surface runoff routed between grid boxes) is also linked to the underlying geology. Larger catchments (>300 km2) are modelled well because routing between numerous grid boxes leads to moving averaging that is a good analogue for the observations. Modelling was least successful (e.g. lowest Kling-Gupta Efficiency) for small catchments (<300 km2) dominated by high-permeability bedrock - with far too little attenuation of high-frequency precipitation variability and insufficient delays at all frequencies. Experimentally switching the soil saturated hydraulic conductivity to that of the underlying bedrock for grid boxes dominated by aquifers significantly improves modelled discharge variability in small sub-catchments - confirming the importance of bedrock permeability in modelling. For small catchments in data-sparse regions, knowledge of the relative proportions of different hydrogeological units (aquifers, aquitards) potentially could be used to predict and model discharge variability as characterised by BFI and lag1 autocorrelation. [ABSTRACT FROM AUTHOR]

Base flow indices for low land area from North-Eastern part of Romania are compared, which were calculated with six different separation methods: the local minimum method (LMM), Talaksen filter, Chapman filter, recursive digital filter (RDF) WHAT model and the Ekchardt filter. All filter-based methods indicate a slight increase in BFI values throughout the study period (1981-2013), in agreement with an increase in precipitation levels in the area over the past decades. The correlation matrix between the different values obtained for the BFI indicates that the most appropriate methods for the study area are the Chapman filter and the Eckhardt filter (r=0.98). Both methods suggest the identification of parameters a and BFImax, which, when adjusted for the lowland area of North-Eastern Romania (a=0.925, BFImax=0.7-0.8), indicate that, in the area in question, BFI values exceed 0.5.). This indicates the need for a careful reevaluation of the region from a hydrological point of view, one that takes into account the changes in land use and the numerous hydro-technical works of the past decades.

In search of a renewal of their mission in the secularized West, an increasing number of (Protestant) churches have embarked on the creation of new faith communities with a strong missionary purpose. This entrepreneurial approach of mission raises a number of questions, among which the issue of leadership is paramount. Currently, however, very little reliable empirical research has been done among faith entrepreneurs, or 'church planters', in Europe. In this article the personality dimensions of 215 church planters are compared with 307 'regular' church leaders (pastors), based on the so-called 'Big Five' personality test. Independent samples t-tests showed that church planters are significantly more extravert, open to new experiences, and conscientious than 'regular' pastors, and significantly less neurotic, while scores on agreeableness are more or less similar. These results are discussed with a view to existing literature on church planting and entrepreneurship in the West. [ABSTRACT FROM AUTHOR]

Abstract: Baseflow index (BFI) prediction in ungauged basins has largely been based on the use of catchment physiographic attributes as dominant variables. In a context where changes in climate are increasingly evident, it is also important to study how the slow component of flow is potentially affected by climate. The aim of this study was to illustrate the impact of climate variability on the baseflow process based on analysis of daily rainfall characteristics and hydrological modelling simulation exercises validated with observed data. Ten catchments were analysed that span southern to northern Europe and range from arid Mediterranean to maritime temperate climate conditions. Additionally, more than 2,000 virtual catchments were modelled that cover an extended gradient of physiographic and climate properties. The relative amounts of baseflow were summarized by the BFI. The catchment slow response delay time (Ks) was assumed to be a measure of catchment effects, and the impact of climate properties was investigated with the dry spell length (d). Well‐drained and poorly‐drained groups were identified based on Ks and d, and their response to an increase or decrease in dry spell length was analysed. Overall, for either well‐ or poorly‐drained groups, an extension in dry spell length appeared to have minor effects on the baseflow compared with a decrease in dry spell length. Under the same dry spell variation, the BFI vulnerability appeared higher for catchments characterized by large initial d values in combination with poorly‐drained systems, but attributing an equal weight to the variations in d both in the case of dry and wet initial conditions, it is in the end concluded that the BFI vulnerability appears higher for systems laying in the transition zone between well‐ and poorly‐drained systems. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the internal structure of the Big Five Inventory (BFI) in a nonprobability sample of 332 students (82.83% women) aged between 16 and 48 years (M = 20,39) who attended a private university in Metropolitan Lima, Peru. An exploratory factor analysis was performed using unweighted least squares and oblique Procrustes rotation with fully specified target matrix. In addition, the linear Pearson correlations between the factors were calculated. The BFI was found to have a factor structure similar to that of the original test, although 7 items were removed. The 37-items version displayed good internal consistency according to ordinal alpha, omega, and H. In conclusion, the BFI exhibits favorable psychometric indicators that suggest that it can be used in group evaluations and basic research. [ABSTRACT FROM AUTHOR]