bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oribatid mites in different Mediterranean crop rotations fertilized with animal droppings
Authors: Bosch-Serra Àngela D. , Molina M. Gabriela , González-Llinàs Elena , Boixadera-Bosch Rosalia R. , Martínez Belén , Orobitg Jordi , Mateo-Marín Noemí , Domingo-Olivé Francesc 
Published: June 2023

AbstractUnsustainable soil management is one of the drivers of soil degradation, but impact assessment requires the development of indicators. Oribatids might be considered as early indicators of disturbances due to the stability of their community. The aim of this study was to investigate the feasibility of oribatids as bioindicators of sustainable agricultural practices. Under a dry Mediterranean climate, three fertilization experiments – two under a two-crop rotation system and one under maize monoculture and established 12 years earlier – were sampled 3× for oribatid identification during the last annual cropping cycle. The hypothesis was that different nutrient and crop managements affect the number of oribatid species and individuals present, and these parameters could be used as indicators of soil degradation. In total, 18 oribatid species were identified, and 1974 adult individuals were recovered. Maximum abundance was found prior to sowing. Pig slurry (PS) vs. control, and dairy cattle manure (CM) vs. mineral fertilization increased oribatid abundance. This increase was evident when the average applied rates with PS were ca. 2 Mg of organic matter (OM) ha− 1yr− 1, or higher than ca. 4 Mg OM ha− 1yr− 1for CM. When the preceding crop was wheat and PS or CM were used,Oribatula(Zygoribatula)excavata(which reproduces sexually) predominated. In maize monoculture fertilized with CM,Tectocepheus sarekensisandAcrotritia ardua americana(which can reproduce through parthenogenesis) prevailed vs.Oribatula, which indicated a heavily disturbed soil. Under this specific Mediterranean environment, the predominance of certain parthenogenic oribatid species and the number of individuals provide advanced warning on soil degradation.
Math-Failure Associations, Attentional Biases, and Avoidance Bias: The Relationship with Math Anxiety and Behaviour in Adolescents
Authors: Schmitz Eva A. , Jansen Brenda R. J. , Wiers Reinout W. , Salemink Elske 
Published: June 2023

Abstract
Background
Math anxiety in adolescence negatively affects learning math and careers. The current study investigated whether three cognitive biases, i.e. math-failure associations, attentional biases (engagement and disengagement), and avoidance bias for math, were related to math anxiety and math behaviour (math grade and math avoidance behaviour).

Methods
In total, 500 secondary school students performed three cognitive bias tasks, questionnaires and a math performance task, and reported their grades.

Results
Math-failure associations showed the most consistent associations with the outcome measures. They were associated with higher math anxiety above and beyond sex and education level. Those math-failure associations were also associated with lower grades and more avoidance behaviour, however, not above and beyond math anxiety. Engagement bias and avoidance tendency bias were associated with math avoidance behaviour, though the avoidance bias finding should be interpreted with care given the low reliability of the measure. Disengagement biases were not associated with any math anxiety nor behaviour outcome measure.

Conclusions
Whereas a more reliable instrument for avoidance bias is necessary for conclusions on the relations with math performance and behaviour, the current results do suggest that math-failure associations, and not attentional bias, may play a role in the maintenance of math anxiety.
Helping Parents Support Their Preschool Children’s Learning and Development Through SMS Messages: An Australian Pilot Study
Authors: Simoncini Kym , McKechnie Jacqueline , Hilly Catherine , Matthews Bernadette 
Published: June 2023

AbstractFamilies are children’s first and most important teachers. However, their ability to support children’s learning and development at home varies due to knowledge, skills, and confidence. Family interventions aimed at increasing parents’ skills are labour-intensive and expensive. In contrast, text messages are low-cost and scalable. Text messages can provide bite-sized bits of information that remind parents of activities they can do in their everyday lives to support learning. Our pilot study replicated two studies from the United States of America (USA) using text messages to increase children’s language and literacy development. A mixed methods approach comprising a pre- to post-design and survey was used. Approximately 70 families with preschool children in the Australian Capital Territory received three text messages weekly for 18 weeks. Families were randomly assigned to either the language and literacy group or the control group that received general child development messages. Measurement of the impact of text messages on children’s language and literacy skills was not feasible due to COVID-19 constraints. We were able to measure parent knowledge and perceptions of the pilot project pre- and post-text messages. Parent knowledge in both groups moved in the right direction, and approximately 90% of parents reported that the text messages were useful and would recommend the program to other parents. Parents found both sets of texts equally valuable. Our study included highly educated and high-income families, while previous research in the USA were comprised of disadvantaged families. Our findings suggest that text messages about early language and literacy, and general child development are useful to all families.
The potential of bamboo forests as a carbon sink and allometric equations for estimating their aboveground biomass
Authors: Camargo García Juan Carlos , Arango Arango Angela Maria , Trinh Long 
Published: June 2023

AbstractBamboo forests in Colombia and the Andean region of South America represent high-value ecosystems that provide ecological and economic benefits with local and global impacts. One of the ecosystem services provided by these forests is associated with their capacity to store carbon. In this study, data collected from monitoring plots were used to estimate the carbon content in different pools. Bamboo biomass (Bba), tree biomass (Btree), litter (Cli) and soil organic carbon (SOC) were assessed. The approximate total ecosystem carbon stock (TECaprox) ranged from 198.4 Mg C ha−1 to 330.9 Mg C ha−1 and bamboo carbon Cba represents approximately 50%. In addition, considering the relevance of developing tools to facilitate bamboo inventory and biomass estimates, allometric equations (AE) to estimate bamboo aboveground biomass (AGB) were fitted using the diameter of culms at breast height (dbh) and the total culm length (l) as predictor variables. The fitted AEs included the weighted linear, weighted log-transformed and weighted nonlinear fixed effect models. To compliance the additivity of biomass components a simultaneous systems of biomass equations (seemingly unrelated regressions) were also fitted. The precision and accuracy were assessed considering the residual diagnostic plots and statistics, such as the root-mean-square error (RMSE), RMSE percentage error (RMSEPE) and the Furnival’s index (Fln) for weighted log-transformed models and cross-validation. The performance of the models was similar with an RMSE of approximately 10 kg and 26% of RMSEPE, with slightly lower error for the weighted log-transformed model for the fitting and validation phases. A proper performance was also evidenced for the simultaneous approach for predicting AGB. Bamboo forests showed high relevance as carbon sinks and therefore might be considered strategic tropical ecosystems for climate change mitigation. On the other hand, the fitted AE exhibited proper performance and therefore provided reliable possibilities for estimating the AGB of bamboo during inventories. For practical reasons, the use of models with dbh as a predictor variable is recommended.
Interaction-Mediated Tool Use Differently Enhances Physical and Social Cognition in Macaques (Macaca fascicularis)
Authors: Viaro Riccardo , Bernardi Davide , Mazzoni Lorenzo , Fadiga Luciano 
Published: June 2023

AbstractIn primates, learning to use a tool modulates cognitive functions related to the physical properties of objects. However, the impact of tool-use learning on social aspects of cognition has not been explored. We addressed this question via a training paradigm by using six, adult, long-tailed macaques (Macaca fascicularis), who were born in captivity and housed in the animal facility of the Department of Neuroscience and Rehabilitation of the University of Ferrara, Italy. We tested the effects of interaction-mediated tool use on overall cognitive performance in an experimental group (n = 2 males and n = 1 females). To evaluate changes in cognitive performance, we applied the Primate Cognition Test Battery at different stages of the training procedure that involved an interaction between the animal and an experimenter and the macaque using a rake to retrieve food items. As a control, we evaluated the performance of an age- and sex-matched group performing an interactive, manual grasping task. Several parameters related to the recognition of the position and noise of specific objects (i.e., space and causality in physical cognition), and those related to image-object association and object pointing to draw the attention of experimenter (i.e., communication aspects of social cognition) showed a significant improvement in the interaction-mediated tool-use group after the training period. The effects were transient, but the enhancement related to the noise and object pointing persisted for 35 days without further training. The control group showed no changes in cognitive performance. Our results show that interaction-mediated tool use enhances cognitive performance in both physical and social cognition domains.
Exploring the Psychosocial Experiences of Individuals with Developmental Language Disorder During Childhood: A Qualitative Investigation
Authors: Burnley Annabel , St Clair Michelle , Dack Charlotte , Thompson Hannah , Wren Yvonne 
Published: June 2023

AbstractChildren with Developmental Language Disorder (DLD) often experience co-occurring psychosocial difficulties, the developmental trajectories of which are still not fully understood. This study sought to explore the manifestation of such difficulties during childhood, through first-hand accounts of those with DLD and their close relatives. Individual semi-structured interviews were conducted with 11 mothers of children with DLD (aged 6-12 years old) and were analysed alongside the secondary data from interviews of five adults with DLD. Interviews were conducted online; all participants resided in Europe and were fluent in spoken and written English. A process of interpretive phenomenological analysis resulted in the development of five overall themes: experiencing anxiety, social frustrations, maintaining factors, childhood strengths and the parenting experience. Cognitive appraisals appeared particularly important during childhood in both escalating and maintaining anxiety, low self-esteem, emotion dysregulation and social frustrations. High levels of isolation and stress were experienced by all mothers. The findings suggest parents in the United Kingdom and Ireland require more support and guidance at the point of diagnosis than is currently provided. Emphasis was given to the link between children’s experience of anxiety and social behaviours, such as withdrawal, as well as their intolerance of uncertainty. Internalising symptoms were a prioritisation for intervention during childhood by both parents and adults with DLD.
Who Returns to work? Exploring the Role of Interpersonal Problems in Occupational Rehabilitation
Authors: Nilsen David Aleksander , Nissen Oda , Nordfjærn Trond , Hara Karen Walseth , Stiles Tore C. 
Published: June 2023

AbstractPurpose: Current interventions designed to facilitate return to work (RTW) after long-term sick leave show weak effects, indicating the need for new approaches to the RTW process. The importance of social relationships in the workplace is widely recognized in existing RTW literature, but very little is known about the role of the interpersonal problems of the returning worker. Current research indicates that a subset of these – hostile-dominant interpersonal problems – give particular disadvantages in several life areas. This prospective cohort study aims to test whether higher levels of interpersonal problems predict lower likelihood of RTW when controlling for symptom levels (H1); and whether higher levels of hostile-dominant interpersonal problems specifically predict lower likelihood of RTW (H2). Methods: 189 patients on long-term sick leave completed a 3½-week transdiagnostic RTW program. Before treatment, self-reported interpersonal problems, chronic pain, insomnia, fatigue levels, anxiety and depression were collected. RTW data for the following year were collected from the Norwegian Labour and Welfare Administration. Results: A multivariable binary logistic regression analysis found that (H2) hostile-dominant interpersonal problems significantly predicted RTW (OR = 0.44, [95% CI: 0.19, 0.98], p = .045), while a corresponding analysis (H1) found that general interpersonal problems did not. Conclusion: Hostile-dominant interpersonal problems negatively predict RTW after long-term sick leave, suggesting an overlooked factor in the field of occupational rehabilitation. The findings could open up new avenues for research and interventions entailed to individuals in the field of occupational rehabilitation.
Pharmacogenetic testing and counselling in the community pharmacy: mixed-methods study of a new pharmacist-led service
Authors: Jeiziner Chiara , Meyer zu Schwabedissen Henriette E. , Hersberger Kurt E. , Allemann Samuel S. 
Published: June 2023

Abstract
Background
Pharmacogenetic (PGx) testing and counselling (short: PGx service) in the community pharmacy is not routinely practiced. We propose a comprehensive pharmacist-led service where PGx information is integrated into medication reviews.

Aim
To evaluate the pharmacist-led service comprising PGx testing and counselling (PGx service) from the perspective of patients.

Method
For this mixed-methods study, we conducted two follow-up interviews F1 and F2 with patients recruited for the PGx service in a community pharmacy after 1st of January 2020. The semi-structured interviews were held by phone call and covered understanding of PGx, the implementation of recommendations, handling of PGx documents (list of concerned substances and PGx recommendation), gain in medication knowledge, and willingness to pay for the PGx service.

Results
We interviewed 25 patients in F1 and 42 patients in F2. Patients were generally able to understand and use results of the PGx service. At least one PGx recommendation was implemented for 69% of the patients. Handling of PGx documents ranged from patients having forgotten about the PGx results to patients consulting the list for every medication-related decision; the latter often expecting negative effects. Finally, 62% of the patients were willing to pay for the PGx service.

Conclusion
For future PGx testing and counselling, HCPs should consider the patients’ health literacy in a standardized way and use adequate communication skills to enhance the patient's understanding in PGx and to attenuate potential negative expectations.
Impacts of rainfall shocks on out-migration are moderated more by per capita income than by agricultural output in Türkiye
Authors: Delacrétaz Nathan , Lanz Bruno , Delju Amir H. , Piguet Etienne , Rebetez Martine 
Published: June 2023

AbstractRural populations are particularly exposed to increasing weather variability, notably through agriculture. In this paper, we exploit longitudinal data for Turkish provinces from 2008 to 2018 together with precipitation records over more than 30 years to quantify how variability in a standardized precipitation index (SPI) affects out-migration as an adaptation mechanism. Doing so, we document the role of three potential causal channels: per capita income, agricultural output, and local conflicts. Our results show that negative SPI shocks (droughts) are associated with higher out-migration in rural provinces. A mediated-moderator approach further suggests that changes in per capita income account for more than one quarter of the direct effect of droughts on out-migration, whereas agricultural output is only relevant for provinces in the upper quartile of crop production. Finally, we find evidence that local conflict fatalities increase with drought and trigger out-migration, although this channel is distinct from the direct effect of SPI shocks on out-migration.
Similarity evaluation of graphic design based on deep visual saliency features
Authors: Liu Zhuohua , Yang Bin , An Jingrui , Huang Caijuan 
Published: June 2023

AbstractThe creativity of an excellent design work generally comes from the inspiration and innovation of its main visual features. The similarity among primary visual elements stands as a paramount indicator when it comes to identifying plagiarism in design concepts. This factor carries immense importance, especially in safeguarding cultural heritage and upholding copyright protection. This paper aims to develop an efficient similarity evaluation scheme for graphic design. A novel deep visual saliency feature extraction generative adversarial network is proposed to deal with the problem of lack of training examples. It consists of two networks: One predicts a visual saliency feature map from an input image and the other takes the output of the first to distinguish whether a visual saliency feature map is a predicted one or ground truth. Unlike traditional saliency generative adversarial networks, a residual refinement module is connected after the encoding and decoding network. Design importance maps generated by professional designers are used to guide the network training. A saliency-based segmentation method is developed to locate the optimal layout regions and notice insignificant regions. Priorities are then assigned to different visual elements. Experimental results show the proposed model obtains state-of-the-art performance among various similarity measurement methods.
On Artificial Intelligence and Manipulation
Authors: Ienca Marcello 
Published: June 2023

AbstractThe increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about new ways of engaging with users, collecting their data and potentially influencing their behavior. However, these technologies and techniques have also raised concerns about the potential for manipulation, as they offer unprecedented capabilities for targeting and influencing individuals on a large scale and in a more subtle, automated and pervasive manner than ever before. This paper, provides a narrative review of the existing literature on manipulation, with a particular focus on the role of AI and associated digital technologies. Furthermore, it outlines an account of manipulation based of four key requirements: intentionality, asymmetry of outcome, non-transparency and violation of autonomy. I argue that while manipulation is not a new phenomenon, the pervasiveness, automaticity, and opacity of certain digital technologies may raise a new type of manipulation, called “digital manipulation”. I call “digital manipulation” any influence exerted through the use of digital technology that is intentionally designed to bypass reason and to produce an asymmetry of outcome between the data processor (or a third party that benefits thereof) and the data subject. Drawing on insights from psychology, sociology, and computer science, I identify key factors that can make manipulation more or less effective, and highlight the potential risks and benefits of these technologies for individuals and society. I conclude that manipulation through AI and associated digital technologies is not qualitatively different from manipulation through human–human interaction in the physical world. However, some functional characteristics make it potentially more likely of evading the subject’s cognitive defenses. This could increase the probability and severity of manipulation. Furthermore, it could violate some fundamental principles of freedom or entitlement related to a person’s brain and mind domain, hence called neurorights. To this end, an account of digital manipulation as a violation of the neuroright to cognitive liberty is presented.
Comparing 12-core and 20-core biopsy for prostate cancer diagnosis with transperineal MR/US fusion biopsy: assessing the effective number of systemic cores using propensity score matching
Authors: Kwon Hyeok Jae , Rhew Seung Ah , Yoon Chang Eil , Shin Dongho , Bang Seokhwan , Park Yong Hyun , Cho Hyuk Jin , Ha U-Syn , Hong Sung-Hoo , Lee Ji Youl , Kim Sae Woong , Moon Hyong Woo 
Published: June 2023

Abstract
Purpose
For transperineal (TP) prostate biopsy, target biopsy for visible lesions on MRI is important, but there is no consensus of the number of systemic biopsy cores. Our study aimed to confirm the diagnostic efficiency of 20-core systemic biopsy by comparison with 12-core using propensity score matching (PSM).

Methods
The 494 patients conducted the naive TP biopsy were retrospectively analyzed. There were 293 patients with 12-core biopsy and 201 patients with 20-core biopsy. PSM was performed for minimizing confounding variables, and the established effects’ value was analyzed for ‘index-positive or negative’ clinically significant prostate cancer (csPCa) (Index means PIRADS Score ≥ 3 on multiparametric prostate MRI).

Results
At 12-core biopsy, there were 126 cases of prostate cancer (43.0%), and 97 cases of csPCa (33.1%). At 20-core biopsy, there were 91 cases (45.3%) and 63 cases (31.3%). After propensity score matching, for index-negative csPCa, the estimated odds ratio was 4.03 (95% CI 1.35–12.09, p value 0.0128), and for index-positive csPCa, the estimated odds ratio was 0.98 (95% CI 0.63–1.52, p value 0.9308).

Conclusions
The 20-core biopsy did not show a higher detection rate for csPCa in comparison with the 12-core biopsy. However, when MRI did not show a suspicious lesion, 20-core biopsy showed higher odd ratio in comparison with 12-core biopsy. Therefore, if there is a suspicious lesion in MRI, 20-core biopsy is excessive and 12-core biopsy is sufficient. Whereas if there is no suspicious lesion in MRI, it is better to proceed with 20-core biopsy.
Leading Volunteer Motivation: How Leader Behaviour can Trigger and Fulfil Volunteers’ Motivations
Authors: Tsai Amber C Y , Newstead Toby , Lewis Gemma , Chuah Swee-Hoon 
Published: June 2023

AbstractEvents such as pandemics, natural disasters, and other social issues reveal societies’ increasing reliance on voluntary unpaid workers. However, there is a decline in people’s willingness to volunteer with established organisations. While management research has shown that leadership plays a major role in motivating and retaining paid employees, further investigation is needed to understand how leadership motivates volunteers. This paper integrates leadership literature into a widely adopted volunteer motivation model through a narrative review, aiming to distil precise leader behaviours that could be used to fulfil or trigger people’s motivation to perform unpaid work. Our goal is to draw clear conceptual links between the different facets of leader behaviours and volunteer motivation and highlight the role of leadership in triggering and fulfilling volunteer motivation and therefore sustaining vital volunteer workforces. Limitations of our chosen approach, implications, and future research directions are discussed.