bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensory acquisition functions of the cerebellum in verbal working memory
Authors: Peterburs Jutta , Liang Yu , Cheng Dominic T. , Desmond John E. 
Published: January 2021

AbstractSeveral fMRI studies have shown that the superior cerebellum exhibits load-dependent activations during encoding of letters in a Sternberg verbal working memory (VWM) task. It has been hypothesized that the cerebellum regulates the acquisition of sensory data across all modalities, and thus, that VWM load activations may reflect high- vs low-load differences in sensory acquisition demands. Therefore, increased difficulty in sensory data acquisition should elicit greater activation in the cerebellum. The present fMRI study manipulated sensory acquisition in VWM by presenting visually degraded and non-degraded stimuli with high and low memory loads, thereby identifying load-dependent regions of interest in the cerebellum, and then testing if these regions showed greater activation for degraded stimuli. Results yielded partial support for the sensory acquisition hypothesis in a load-dependent region of the vermis, which showed significantly greater activation for degraded relative to non-degraded stimuli. Because eye movements did not differ for these stimulus types, and degradation-related activations were present after co-varying eye movements, this activation appears to be related to perceptual rather than oculomotor demands. In contrast to the vermis, load-sensitive regions of the cerebellar hemispheres did not show increased activation for degraded stimuli. These findings point to an overall function of association-based prediction that may underlie general cerebellar function, with perceptual prediction of stimuli from partial representations occurring in the vermis, and articulatory prediction occurring in the hemispheres.
Evidence for seasonal changes in population structure of Reed Buntings (Emberiza schoeniclus) in the Lake Neusiedl Region: a stable-isotope approach
Authors: Kofler Barbara , Wanek Wolfgang , Voigt Christian C. , Schulze Christian H. 
Published: January 2021

AbstractMigrating species and populations are affected by conditions existing across large geographical scales. The degree to which populations mix at stop-over sites and wintering grounds is variable and can involve important fitness consequences. Thus, the link between breeding and wintering grounds and seasonal shifts in population structure are important to understand population demographics, local adaption and diversification patterns. This work aims to infer migration patterns and population connectivity in the Reed Bunting (Emberiza schoeniclus) community of a Ramsar-designated wetland, Lake Neusiedl, Seewinkel, Austria. Stable isotope markers (hydrogen, δ2H, carbon, δ13C) in feathers were analyzed to assign individuals to a specific breeding or natal area. Based on the geographic assignment, birds were compared with respect to their ecomorphological traits and their habitat selection (large reed bed versus more open habitat at shore of an alkaline lake) during winter to assess potential ecological differences and possibly associated morphological divergence. Stable isotope data revealed that the local Reed Bunting community undergoes seasonal changes in population structure. Three different populations that vary in their δ2H signature and to some extent in morphological characteristics as well as in δ13C values were identified. Indications for differential migration related to age and/or sex were additionally found, since males and females as well as first-year birds and adults showed remarkable differences in their traits and feather isotope values. δ2H values diverged significantly between these groups in both age and sex classes and birds with highest feather δ2H values were considered to represent the local breeding population at Lake Neusiedl and possibly also Reed Buntings from close surroundings. Moreover, this group had the highest δ13C values in first-year individuals as well as in adults. In both sex classes, the assignment of Reed Buntings to different populations was ultimately possible due to differences in bill shape with residents being characterized by more massive bills than individuals belonging to populations visiting the study area only during migration or for wintering. During winter, beak shape and feather δ2H and δ13C values differed significantly between birds caught in the reed stand of Lake Neusiedl and those captured near the salt pan, hence, indicating differential habitat selection among co-occurring populations during winter. These findings suggest that morphological attributes, such as bill shape and size as well as linked adaptations to different food sources play a decisive role for niche segregation among wintering populations. The results provide evidence that different populations mix during migration and during winter at Lake Neusiedl and the extent to which they are specialized to a specific habitat varied.
Modeling Cash Plus Other Psychosocial and Structural Interventions to Prevent HIV Among Adolescent Girls and Young Women in South Africa (HPTN 068)
Authors: Stoner Marie C. D. , Edwards Jessie K. , Westreich Daniel , Kilburn Kelly , Ahern Jennifer , Lippman Sheri A. , Gómez-Olivé F. Xavier , Kahn Kathleen , Pettifor Audrey 
Published: January 2021

AbstractPoverty alleviation programs can reduce HIV incidence but may have greater impacts when combined with other psychosocial interventions. We modeled the change in HIV incidence among South African adolescent girls and young women (AGYW) associated with combining a cash transfer (the South African Child Support Grant (CSG)) with other structural and behavioral interventions. We modeled observational data from the HPTN 068 study where 2328 HIV negative AGYW (13–20 years) were followed for 4 years. In a Monte Carlo simulation based on this cohort (N = 10,000), CSG receipt was not independently associated with HIV incidence. Providing the CSG combined with increasing caregiver care and reducing adolescent depression had the largest reduction in HIV incidence with the fewest number of combined interventions (RD − 3.0%; (95% CI − 5.1%, − 0.9%). Combining a monthly grant with interventions to increase caregiver care and reduce adolescent depression could substantially reduce HIV incidence above the provision of cash alone.
Expressive Flamenco ©: An Emerging Expressive Arts-Based Practice
Authors: Sánchez García Laura , Pinna-Perez Angelica 
Published: January 2021

AbstractExpressive Flamenco© theory and praxis is presented by Sánchez through this art-based personal reflection paper, which explores the applications of flamenco for its inherent psycho-somatic therapeutic capacities. She asserts the applied practice of flamenco (in its broadest definition), when combined with other expressive arts practices, can have therapeutic benefits; including (but not limited to) psycho-social, spiritual, and aesthetic connection to the individual's unconscious. During these experiences of arts based emotional expression, one can transcend the self into divine connection with their authentic self, what the author understands as the “duende”. By allowing one’s authentic truth to be expressed through Expressive Flamenco©, a spirit of evocation, born from within the self, appears when the self-connects with and is in creative conversation with its unconscious. The main hypothesis asserts the emergence of the “duende” facilitates an epistemological process of self-knowledge and an emotional process of catharsis, suggesting that when this art form is utilized as ‘Expressive Flamenco’ it helps facilitate holistic healing. This paper aims to stretch flamenco into new applied therapeutic practice territories, specifically in the arts therapies. Practical applications of Expressive Flamenco in the expressive therapies, including expressive arts therapy and dance/movement therapy, is presented along with the preliminary results of a virtual telehealth group facilitated during Covid-19. Professor Pinna-Perez′s critical reflections on Expressive Flamenco© and its importance to the field is presented in response to this emerging expressive arts practice.
Modelling Soil Moisture in Hyper-Arid Conditions
Authors: Shao Yaping , Fraedrich Klaus , Ishizuka Masahide 
Published: January 2021

AbstractIn most land-surface models, the evolution of soil moisture is governed by soil-hydraulic processes. In hyper-arid soils, these processes break down, but soil moisture continues to show clear temporal variations, suggesting that other processes may be at work. We hypothesize that moisture in such soils varies due to evaporation in the soil and to vapour fluxes at the air–soil interface. To test this, we include vapour exchange between the air and soil in a land-surface model, apply the model to a desert site, and compare the simulated and observed soil moisture. The good agreement between the simulations and observations confirms our hypothesis. Using the model results, we examine the interactions between the soil-moisture and soil-vapour phases and influences of the soil-vapour phase on the surface energy balance.
Inflammation as a determinant of healing response after coronary stent implantation
Authors: Ochijewicz Dorota , Tomaniak Mariusz , Opolski Grzegorz , Kochman Janusz 
Published: January 2021

AbstractCardiovascular disease remains the leading cause of death and morbidity worldwide. Inflammation plays an important role in the development of atherosclerosis and is associated with adverse clinical outcomes in patients after percutaneous coronary interventions. Data on stent elements that lead to excessive inflammatory response, proper identification of high–risk patients, prevention and treatment targeting residual inflammatory risk are limited. This review aims to present the role of inflammation in the context of evolving stent technologies and appraise the potential imaging modalities in detection of inflammatory response and anti-inflammatory therapies.
Role of CO2 During Oxidative Dehydrogenation of Propane Over Bulk and Activated-Carbon Supported Cerium and Vanadium Based Catalysts
Authors: Djinović Petar , Zavašnik Janez , Teržan Janvit , Jerman Ivan 
Published: January 2021

AbstractCeO2, V2O5 and CeVO4 were synthesised as bulk oxides, or deposited over activated carbon, characterized by XRD, HRTEM, CO2-TPO, C3H8-TPR, DRIFTS and Raman techniques and tested in propane oxidative dehydrogenation using CO2. Complete oxidation of propane to CO and CO2 is favoured by lattice oxygen of CeO2. The temperature programmed experiments show the ~ 4 nm AC supported CeO2 crystallites become more susceptible to reduction by propane, but less prone to re-oxidation with CO2 compared to bulk CeO2. Catalytic activity of CeVO4/AC catalysts requires a 1–2 nm amorphous CeVO4 layer. During reaction, the amorphous CeVO4 layer crystallises and several atomic layers of carbon cover the CeVO4 surface, resulting in deactivation. During reaction, V2O5 is irreversibly reduced to V2O3. The lattice oxygen in bulk V2O5 favours catalytic activity and propene selectivity. Bulk V2O3 promotes only propane cracking with no propene selectivity. In VOx/AC materials, vanadium carbide is the catalytically active phase. Propane dehydrogenation over VC proceeds via chemisorbed oxygen species originating from the dissociated CO2.
Graphic Abstract
The influence of animal species, gender and tissue on the structural, biophysical, biochemical and biological properties of collagen sponges
Authors: Sorushanova Anna , Skoufos Ioannis , Tzora Athina , Mullen Anne Maria , Zeugolis Dimitrios I. 
Published: January 2021

AbstractAlthough collagen type I is extensively used in biomedicine, no study to-date has assessed how the properties of the produced scaffolds are affected as a function of species, gender and tissue from which the collagen was extracted. Herein, we extracted and characterised collagen from porcine and bovine, male and female and skin and tendon tissues and we subsequently fabricated and assessed the structural, biophysical, biochemical and biological properties of collagen sponges. All collagen preparations were of similar purity and free-amine content (p > 0.05). In general, the porcine groups yielded more collagen; had higher (p < 0.05) denaturation temperature and resistance to enzymatic degradation; and lower (p < 0.05) swelling ratio and compression stress and modulus than the bovine groups of the same gender and tissue. All collagen preparations supported growth of human dermal fibroblasts and exhibited similar biological response to human THP-1 monocytes. These results further illustrate the need for standardisation of collagen preparations for the development of reproducible collagen-based devices.
Composition dependent density of ternary aqueous solutions of ionic surfactants and salts
Authors: Calderón Silvia M. , Prisle Nønne L. 
Published: January 2021

AbstractSurfactants exist in atmospheric aerosols mixed with inorganic salts and can significantly influence the formation of cloud droplets due to bulk–surface partitioning and surface tension depression. To model these processes, we need continuous parametrizations of the concentration dependent properties of aqueous surfactant–salt solutions for the full composition range from pure water to pure surfactant or salt. We have developed density functions based on the pseudo-separation method and Young’s mixing rule for apparent partial molal volumes for solutions that mimic atmospheric droplets of marine environments. The developed framework requires only model parameters from binary water–salt and water–surfactant systems and includes the effect of salinity on micellization with composition-dependent functions for the critical micelle concentration (CMC). We evaluate different models and data available in the literature to find the most suitable representations of the apparent partial molal volume of sodium chloride (NaCl) in aqueous solutions and the CMC of selected atmospheric and model surfactants in pure water and aqueous NaCl solutions. We compare model results to experimental density data, available in the literature and obtained from additional measurements, for aqueous solutions containing one of the ionic surfactants sodium octanoate, sodium decanoate, sodium dodecanoate or sodium dodecylsulfate mixed with NaCl in different relative ratios. Our model follows the experimental trends of increasing densities with increasing surfactant concentrations or increasing surfactant–salt mixing ratios both, below and above the CMC, capturing the effect of the inorganic salt on the surfactant micellization.
Stimulus Features of the Object Relations Technique Affecting the Linguistic Qualities of Individuals’ Narratives
Authors: Negri Attà , Ongis Martino 
Published: January 2021

AbstractPrevious studies on projective techniques have investigated the effects of variation in stimulus features on individuals’ response behavior. In particular, the influence of chromatic colors and form definition on the images elicited by the stimuli has been tested. Most studies have focused on the Rorschach and TAT and have examined effects in terms of variables such as reality testing and reactions to perceptual details. This is the first study to examine the effects of variation in visual stimuli as represented in features of the Object Relations Technique (ORT) cards on linguistic indicators of connection to emotional experience using measures of the referential process. The ORT was administered to 207 Italian non-clinical participants to explore effects of color, form and content variation on language style. The sample was stratified by age, gender, marital status and education to be representative of the Italian population. The stories told in response to the card images were rated using computerized linguistic measures, including the Weighted Referential Activity Dictionary—Italian version (IWRAD) which indicates the degree to which language is connected to nonverbal experience, and the Weighted Reflection/Reorganization List—Italian version (IWRRL) which detects a linguistic style of personal re-elaboration of emotional experience. The results provide support for the color-affect and form-reality testing hypotheses. Cards with better form definition, including color definition, and with fewer silhouettes of people elicited responses that were higher in IWRAD and lower in IWRRL, and also higher in the degree to which the two measures varied together. Implications of the results for use of ORT in clinical assessment and intervention are discussed.
Upscaling proximal sensor N-uptake predictions in winter wheat (Triticum aestivum L.) with Sentinel-2 satellite data for use in a decision support system
Authors: Wolters S. , Söderström M. , Piikki K. , Reese H. , Stenberg M. 
Published: January 2021

AbstractTotal nitrogen (N) content in aboveground biomass (N-uptake) in winter wheat (Triticum aestivum L.) as measured in a national monitoring programme was scaled up to full spatial coverage using Sentinel-2 satellite data and implemented in a decision support system (DSS) for precision agriculture. Weekly field measurements of N-uptake had been carried out using a proximal canopy reflectance sensor (handheld Yara N-Sensor) during 2017 and 2018. Sentinel-2 satellite data from two processing levels (top-of-atmosphere reflectance, L1C, and bottom-of-atmosphere reflectance, L2A) were extracted and related to the proximal sensor data (n = 251). The utility of five vegetation indices for estimation of N-uptake was compared. A linear model based on the red-edge chlorophyll index (CI) provided the best N-uptake prediction (L1C data: r2 = 0.74, mean absolute error; MAE = 14 kg ha−1) when models were applied on independent sites and dates. Use of L2A data, rather than L1C, did not improve the prediction models. The CI-based prediction model was applied on all fields in an area with intensive winter wheat production. Statistics on N-uptake at the end of the stem elongation growth stage were calculated for 4169 winter wheat fields > 5 ha. Within-field variation in predicted N-uptake was > 30 kg N ha−1 in 62% of these fields. Predicted N-uptake was compared against N-uptake maps derived from tractor-borne Yara N-Sensor measurements in 13 fields (1.7–30 ha in size). The model based on satellite data generated similar information as the tractor-borne sensing data (r2 = 0.81; MAE = 7 kg ha−1), and can therefore be valuable in a DSS for variable-rate N application.
Response shift in results of patient-reported outcome measures: a commentary to The Response Shift—in Sync Working Group initiative
Authors: Sprangers Mirjam A. G. , Sajobi Tolulope , Vanier Antoine , Mayo Nancy E. , Sawatzky Richard , Lix Lisa M. , Oort Frans J. , Sébille Véronique ,   The Response Shift—in Sync Working Group
Published: January 2021

Abstract
Purpose
The Working Group undertook a critical, comprehensive synthesis of the response shift work to date. We aimed to (1) describe the rationale for this initiative; (2) outline how the Working Group operated; (3) summarize the papers that comprise this initiative; and (4) discuss the way forward.

Methods
Four interdisciplinary teams, consisting of response shift experts, external experts, and new investigators, prepared papers on (1) definitions and theoretical underpinnings, (2) operationalizations and response shift methods, (3) implications for healthcare decision-making, and (4) on the published magnitudes of response shift effects. Draft documents were discussed during a two-day meeting. Papers were reviewed by all members.

Results
Vanier and colleagues revised the formal definition and theory of response shift, and applied these in an amended, explanatory model of response shift. Sébille and colleagues conducted a critical examination of eleven response shift methods and concluded that for each method extra steps are required to make the response shift interpretation plausible. Sawatzky and colleagues created a framework for considering the impact of response shift on healthcare decision-making at the level of the individual patient (micro), the organization (meso), and policy (macro). Sajobi and colleagues are conducting a meta-analysis of published response shift effects. Preliminary findings indicate that the mean effect sizes are often small and variable across studies that measure different outcomes and use different methods.

Conclusion
Future response shift research will benefit from collaboration among diverse people, formulating alternative hypotheses of response shift, and conducting the most conclusive studies aimed at testing these (falsification).
Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables
Authors: Bartram David 
Published: January 2021

AbstractHappiness/well-being researchers who use quantitative analysis often do not give persuasive reasons why particular variables should be included as controls in their cross-sectional models. One commonly sees notions of a “standard set” of controls, or the “usual suspects”, etc. These notions are not coherent and can lead to results that are significantly biased with respect to a genuine causal relationship.This article presents some core principles for making more effective decisions of that sort. The contribution is to introduce a framework (the “causal revolution”, e.g. Pearl and Mackenzie 2018) unfamiliar to many social scientists (though well established in epidemiology) and to show how it can be put into practice for empirical analysis of causal questions. In simplified form, the core principles are: control for confounding variables, and do not control for intervening variables or colliders. A more comprehensive approach uses directed acyclic graphs (DAGs) to discern models that meet a minimum/efficient criterion for identification of causal effects.The article demonstrates this mode of analysis via a stylized investigation of the effect of unemployment on happiness. Most researchers would include other determinants of happiness as controls for this purpose. One such determinant is income—but income is an intervening variable in the path from unemployment to happiness, and including it leads to substantial bias. Other commonly-used variables are simply unnecessary, e.g. religiosity and sex. From this perspective, identifying the effect of unemployment on happiness requires controlling only for age and education; a small (parsimonious) model is evidently preferable to a more complex one in this instance.
TT2020 meeting report on the 16th Transgenic Technology Meeting
Authors: Hinttala Reetta , Kuure Satu 
Published: January 2021

AbstractThe 16th transgenic technology (TT) meeting of the International Society of Transgenic technology (ISTT) took place on October 26–29th 2020 and was quite unique as it was the first-ever virtual meeting in the history of ISTT events. Dr. Rebecca Haffner-Krausz at Weizmann Institute of Science, Israel, was the local organizer of the meeting, which attracted 756 registered participants from 32 different countries.