bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relative divergence of mobbing calls and songs structures in passerine birds
Authors: Dutour Mylène , Lengagne Thierry , Léna Jean-Paul 
Published: August 2023

AbstractDivergence and convergence in acoustic signals may be driven by different processes. Uncertainty about which of these processes best explains the patterns of acoustic variation between species has fuelled a long-standing debate in evolutionary biology. In particular, the features of acoustic signals are expected to vary according to their functional support. To compare the relative divergence of vocalizations according to their function, we examine two types of signals within 23 bird species, whilst controlling for species size, phylogeny and within-species variation: (i) mobbing calls emitted to recruit both conspecifics and heterospecifics against a predator and (ii) territorial songs, a signal playing an important role in sexual and social communication. We found that divergence of acoustic features varies according to their function (mobbing calls vs. territorial songs). Furthermore, species size influences spectral features, while phylogeny explained acoustic variation in only one of the variables measured: note richness. Finally, our results reveal that the acoustic characteristics can vary greatly within species, regardless of the vocalization type, indicating that such variations cannot be ignored when performing comparative analyses across species.
Heterogeneity in Unmet Treatment Need and Barriers to Accessing Mental Health Services Among U.S. Military Service Members with Serious Psychological Distress
Authors: Dunbar Michael S. , Breslau Joshua , Collins Rebecca , Beckman Robin , Engel Charles C. 
Published: August 2023

AbstractThe goal of the current study is to examine heterogeneity in mental health treatment utilization, perceived unmet treatment need, and barriers to accessing care among U.S. military members with probable need for treatment. Using data from the 2018 Department of Defense Health Related Behavior Survey, we examined a subsample of 2,336 respondents with serious psychological distress (SPD; past-year K6 score ≥ 13) and defined four mutually exclusive groups based on past-year mental health treatment (treated, untreated) and self-perceived unmet treatment need (recognized, unrecognized). We used chi-square tests and adjusted regression models to compare groups on sociodemographic factors, impairment (K6 score; lost work days), and endorsement of treatment barriers. Approximately 43% of respondents with SPD reported past-year treatment and no unmet need (Needs Met). The remainder (57%) met criteria for unmet need: 18% endorsed treatment and recognized unmet need (Treated/Additional Need); 7% reported no treatment and recognized unmet need (Untreated/Recognized Need); and 32% reported no treatment and no unmet need (Untreated/Unrecognized Need). Compared to other groups, those with Untreated/Unrecognized Need tended to be younger (ages 18–24; p = 0.0002) and never married (p = 0.003). The Treated/Additional Need and Untreated/Recognized Need groups showed similar patterns of treatment barrier endorsement, whereas the Untreated/Unrecognized Need group endorsed nearly all barriers at lower rates. Different strategies may be needed to increase appropriate mental health service use among different subgroups of service members with unmet treatment need, particularly those who may not self-perceive need for treatment.
Organisational Actions for Improving Recognition, Integration and Acceptance of Peer Support as Identified by a Current Peer Workforce
Authors: Reeves Verity , Loughhead Mark , Halpin Matthew Anthony , Procter Nicholas 
Published: August 2023

AbstractRecovery-orientated practice is crucial to mental health care services—consistently identified in policy, service delivery guidelines and national mental health action plans. An essential component to systems reform and the adoption of recovery-orientated practice is the inclusion of peer support workers as practice leaders to support shifting culture in mental health service delivery. Designated peer support roles operate as healthcare professionals who utilise their lived and living experience of mental health difficulty to support those on their recovery journey through mutual understanding of shared experience. This research sought to explore the experiences of peer support workers integrating into mental health teams and identify organisational actions to facilitate successful recognition, integration and acceptance by colleagues; therefore, promoting sustainability of the peer support role. Qualitative interviews were undertaken with 18 peer support workers employed across four Australian states within 12 different government and non-government organisations. Study findings reveal three key areas for organisational change with seven main themes to assist organisations to better facilitate the successful integration of peer support workers into mental health service teams. These included robust induction, training for existing staff, clear referral pathways into the service, consistent supervision and debriefing, leadership support, professional development pathways and involving peer workers through change processes. These themes were grouped into three key areas for change including preparation, process and structural changes, and cultural change actions for sustainability. This article makes recommendations for organisations to consider when implementing peer support roles into mental health services.
How to do robots with words: a performative view of the moral status of humans and nonhumans
Authors: Coeckelbergh Mark 
Published: August 2023

AbstractMoral status arguments are typically formulated as descriptive statements that tell us something about the world. But philosophy of language teaches us that language can also be used performatively: we do things with words and use words to try to get others to do things. Does and should this theory extend to what we say about moral status, and what does it mean? Drawing on Austin, Searle, and Butler and further developing relational views of moral status, this article explores what it means to conceptualize moral status in a performative way and in a way that reaches deep down to its basis, proposes a distinction between strong and weak versions of this view, and discusses the implications for thinking about the moral status of humans and nonhumans. Next to contributing to theory about performativity in the moral domain in general, this effort helps to reveal, understand, and evaluate the performative dimension of utterances made in public discussions about the moral status of animals and artificial agents such as robots and artificial intelligence.
Video Analytics in Digital Learning Environments: Exploring Student Behaviour Across Different Learning Contexts
Authors: Khalil Mohammad , Topali Paraskevi , Ortega-Arranz Alejandro , Er Erkan , Akçapınar Gökhan , Belokrys Gleb 
Published: August 2023

AbstractThe use of videos in teaching has gained impetus in recent years, especially after the increased attention towards remote learning. Understanding students’ video-related behaviour through learning (and video) analytics can offer instructors significant potential to intervene and enhance course designs. Previous studies explored students’ video engagement to reveal learning patterns and identify at-risk students. However, the focus has been mostly placed on single contexts, and therefore, limited insights have been offered about the differences and commonalities between different learning settings. To that end, the current paper explored student video engagement in three disparate contexts. Following a case study research approach, we uncovered the commonalities and differences of video engagement in the context of SPOC, MOOC, and an undergraduate university course. The findings offer a deeper and more comprehensive understanding of students’ video-related engagement and shed light into several key aspects related to video analytics that should be considered during the design of video-based learning (e.g., learning objectives in relation to video type or context). Additionally, the three cases indicated the important role of the content type, the length, and the aim of the video on students’ engagement. Further implications of the work are also discussed in the paper.
Mathematical knowledge for teaching and mathematics didactic knowledge: a comparative study
Authors: Scheiner Thorsten , Buchholtz Nils , Kaiser Gabriele 
Published: August 2023

AbstractThis paper compares and contrasts two approaches that are widely used in the English- and German-speaking discourse on mathematics teacher knowledge: ‘mathematical knowledge for teaching’ and ‘mathematics didactic knowledge’. It is proposed that these constructs are based on distinct theoretical and conceptual positions and origins. Mathematical knowledge for teaching is viewed as a utilitarian-pragmatic approach rooted in English-speaking traditions as it focuses on its use in teaching and represents a practice-based conceptualization of knowledge domains required for mathematics teaching. Mathematics didactic knowledge, on the other hand, is considered normative-descriptive as it is formulated based on didactic principles and broader theoretical perspectives, providing a theory-driven conceptualization of knowledge domains rooted in traditions of German-speaking didactics of mathematics. The paper further highlights similarities and differences in these two constructs through an examination of two central knowledge domains: specialized content knowledge (part of mathematical knowledge for teaching) and subject matter didactic knowledge (part of mathematics didactic knowledge).
High imperceptibility and robustness watermarking scheme for brain MRI using Slantlet transform coupled with enhanced knight tour algorithm
Authors: Kolivand Hoshang , Wee Tan Chi , Asadianfam Shiva , Rahim Mohd Shafry , Sulong Ghazali 
Published: August 2023

AbstractThis research introduces a novel and robust watermarking scheme for medical Brain MRI DICOM images, addressing the challenge of maintaining high imperceptibility and robustness simultaneously. The scheme ensures privacy control, content authentication, and protection against the detachment of vital Electronic Patient Record information. To enhance imperceptibility, a Dynamic Visibility Threshold parameter leveraging the Human Visual System is introduced. Embeddable Zones and Non-Embeddable Zones are defined to enhance robustness, and an enhanced Knight Tour algorithm based on Slantlet Transform shuffles the embedding sequence for added security. The scheme achieves remarkable results with a Peak Signal-to-Noise Ratio (PSNR) evaluation surpassing contemporary techniques. Extensive experimentation demonstrates resilience to various attacks, with low Bit Error Rate (BER) and high Normalized Cross-Correlation (NCC) values. The proposed technique outperforms existing methods, emphasizing its superior performance and effectiveness in medical image watermarking.
Let Us Talk Money: Subjectively Reported Financial Performance of People Living with Neurodegenerative Diseases—A Systematic Review
Authors: Ariesen Akke-Marij D. , Tuomainen Roosa E. , De Deyn Peter P. , Tucha Oliver , Koerts Janneke 
Published: August 2023

AbstractNeurodegenerative diseases (NDDs) form a heterogeneous, widespread group of disorders, generally characterized by progressive cognitive decline and neuropsychiatric disturbances. One of the abilities that seems particularly vulnerable to the impairments in neurodegenerative diseases is the capability to manage one’s personal finances. Indeed, people living with neurodegenerative diseases were shown to consistently present with more problems on performance-based financial tasks than healthy individuals. While objective, performance-based tasks provide insight into the financial competence of people living with neurodegenerative diseases in a controlled, standardized setting; relatively little can be said, based on these tasks, about their degree of success in dealing with the financial demands, issues, or questions of everyday life (i.e., financial performance). The aim of this systematic review is to provide an overview of the literature examining self and informant reports of financial performance in people living with neurodegenerative diseases. In total, 22 studies were included that compared the financial performance of people living with mild cognitive impairment (MCI), Alzheimer’s disease (AD), Parkinson’s disease, or multiple sclerosis to a (cognitively) normal control group. Overall, the results indicate that people living with neurodegenerative diseases are more vulnerable to impairments in financial performance than cognitively normal individuals and that the degree of reported problems seems to be related to the severity of cognitive decline. As the majority of studies however focused on MCI or AD and made use of limited assessment methods, future research should aim to develop and adopt more comprehensive assessments to study strengths and weaknesses in financial performance of people living with different neurodegenerative diseases.
Gradient Organization of Space, Time, and Numbers in the Brain: A Meta-analysis of Neuroimaging Studies
Authors: Cona Giorgia , Wiener Martin , Allegrini Francesco , Scarpazza Cristina 
Published: August 2023

AbstractIn this study, we ran a meta-analysis of neuroimaging studies to pinpoint the neural regions that are commonly activated across space, time, and numerosity, and we tested the existence of gradient transitions among these magnitude representations in the brain. Following PRISMA guidelines, we included in the meta-analysis 112 experiments (for space domain), 114 experiments (time domain), and 115 experiments (numerosity domain), and we used the activation likelihood estimation method. We found a system of brain regions that was commonly recruited in all the three magnitudes, which included bilateral insula, the supplementary motor area (SMA), the right inferior frontal gyrus, and bilateral intraparietal sulci. Gradiental transitions between different magnitudes were found along all these regions but insulae, with space and numbers leading to gradients mainly over parietal regions (and SMA) whereas time and numbers mainly over frontal regions. These findings provide evidence for the GradiATOM theory (Gradient Theory of Magnitude), suggesting that spatial proximity given by overlapping activations and gradients is a key aspect for efficient interactions and integrations among magnitudes.
Haptic realism for neuroscience
Authors: Chirimuuta M. 
Published: August 2023

AbstractRecent work in philosophy of science has shown how the challenges posed by extremely complex systems require that scientists employ a range of modelling strategies, leading to partial perspectives that make apparently conflicting claims about the target (Mitchell 2009b, Longino 2013). The brain is of course extremely complex, and the same arguments apply here. In this paper I present a variety of perspectivism called haptic realism. This account foregrounds the process by which the instrumental goals of neuroscience shape the way that objects of investigation are probed experimentally and conceptualised through modelling. Because such models do not aim to represent their targets exactly as they are, but in ways that are most useful for the investigators, the models should not be interpreted as literal descriptions of neural systems. Scientific realism traditionally involves a semantic commitment to interpreting theories and models as literal descriptions of human-independent nature. Haptic realism makes a significant departure from this tradition. Haptic realism also calls us to reassess the ontological commitments and knowledge claims of neuroscientific models and theories.
Novel Hybrid Machine Learning Algorithms for Lakes Evaporation and Power Production using Floating Semitransparent Polymer Solar Cells
Authors: Abd-Elaty Ismail , Kushwaha N. L. , Patel Abhishek 
Published: August 2023

AbstractThe present study predicts the future evaporation losses by applying novel hybrid Machine Learning Algorithms (MLA). Water resources management is achieved by covering the reservoir water surface with floating semitransparent polymer solar cells. The energy produced by these panels will be used in the irrigation activities. The study is applied for the mass water body of Nasser Lake, Egypt and Sudan. Five MLAs namely additive regression (AR), AR-random subspace (AR-RSS), AR-M5Pruned (AR-M5P), AR-reduced error pruning tree (AR-REPTree), and AR- support vector machine (AR-SVM) were developed and evaluated for predicting future evaporation losses in the years 2030, 2050, and 2070. The study concludes that the hybrid AR-M5P ML model was not only superior to the AR model alone but also outperformed other hybrid models such as AR-RSS and AR-REPTree. The expected total annual water saving are projected to reach 3.47 billion cubic meters (BCM), 3.68 and 3.90 BCM, while the total annual power production is observed to be 1389 × 109 Megawatt (MW), 1535 × 109 MW and 1795 × 109 MW in the years 2030, 2050 and 2070, respectively. These results were achieved by covering the shallow water depths from contour level 0 m to 10 m below the surface water level. Additionally, this study shows the ability of using MLAs in the estimation of reservoir evaporation and addressing the water shortages in high stress regions.
Graphical Abstract
Occurrence of Unapproved Pesticides and their Ecotoxicological Significance for an Agriculturally Influenced Reservoir and its Tributaries in Nepal
Authors: Acharya Suman , Upadhayay Hari Ram , Houbraken Michael , Bajracharya Roshan Man , Spanoghe Pieter 
Published: August 2023

AbstractMany catchments in Nepal are affected by intensive agricultural activities, leading to extensive pesticide usages. This study aimed to assess pesticide abundance in concurrently collected water, sediment and fish samples for the first time in intensively cultivated catchment (Indra Sarowar) located in the mid-hill region of Nepal during the rice and vegetables growing season. A total of 75 pesticides were analysed, of which 4 pesticides (alachlor, diuron, metalaxyl and pyrimethanil) were present in water with detection frequency (DF) > 40%, with alachlor (0.62 – 2.68 µg L−1) being ubiquitous. In the sediment of tributaries, the pesticides p,p′-DDT, β-HCH, alachlor and diuron were detected with DF exceeding 40%, where β-HCH was commonly observed (DF = 92%) with concentration ranging from 6.29 – 99.22 µg kg−1. The ecotoxicological risk indicated that herbicides (alachlor and diuron) posed a high risk to aquatic organisms in both tributaries and reservoir water. Such risk in sediment was even more pronounced, with alachlor and diuron showing up to 2.3 and 53.7 times higher risk respectively compared to water samples. However, none of these herbicides were detected in fish muscles. Among the fish species studied, pyrimethanil was the only quantified pesticide in edible tissue of both cage cultured (0.35 – 1.80 µg g−1 ww) and open stock fishes (0.06 – 1.12 µg g−1 ww). The consumer risk assessment showed very low human health risk associated with fish consumption (HQ < 0.2). Nonetheless, long-term consumption of contaminated fish may pose some risk that cannot be ignored. Overall, this study generated the benchmark data highlighting pervasive presence of banned (DDT, endosulfan, HCH) and unapproved (alachlor, diuron, pyrimethanil) pesticides in the environmental compartments in the mid-hill’s streams of Nepal.
Graphical Abstract
Bio-Sustainable Alternatives Synthesis of Nanoporous Activated Carbon @Al-MOF for the Adsorption of Hazardous Organic Dyes from Wastewater
Authors: Abd El Salam H. M. 
Published: August 2023

AbstractThe disposal of textile pollutants tainted by soluble organic dyes into the water without proper treatment may adversely impact the aquatic environment, humans, plants, and animals due to their toxic nature. As a result, the goal of this work is to look into the adsorptive removal of Eriochrome Black T (EBT) dye (as a model of soluble anionic organic dyes) from aqueous solution using a green synthesis nanoporous activated carbon @ Aluminum based metal–organic frameworks (AC@Al-MOFs) from a lemon peel waste as an inexpensive biosorbent. The physicochemical properties of Al-MOF and AC@Al-MOF composite were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET), scanning electron microscopy (SEM), and the impact of varied parameters on adsorption efficiency of Eriochrome Black T (EBT) including pH, dye concentrations, contact time and adsorbent dose, was examined. The experimental isotherms data were analyzed using Langmuir and Freundlich isotherm equations. The best fit was obtained by the Langmuir model with high correlation coefficients (R2 = 0.9976) with a maximum monolayer adsorption capacity of 303.0 mg/g. The results suggest that AC@Al-MOF composite is a potential choice for removing EBT dye molecules from aqueous media.
Graphical Abstract
Temporal variation in the spectrum and concentration of airborne microalgae and cyanobacteria in the urban environments of inland temperate climate
Authors: Žilka Matúš , Tropeková Mária , Zahradníková Eva , Kováčik Ľubomír , Ščevková Jana 
Published: August 2023

AbstractDespite their non-negligible representation among the airborne bioparticles and known allergenicity, autotrophic microorganisms—microalgae and cyanobacteria—are not commonly reported or studied by aerobiological monitoring stations due to the challenging identification in their desiccated and fragmented state. Using a gravimetric method with open plates at the same time as Hirst-type volumetric bioparticle sampler, we were able to cultivate the autotrophic microorganisms and use it as a reference for correct retrospective identification of the microalgae and cyanobacteria captured by the volumetric trap. Only in this way, reliable data on their presence in the air of a given area can be obtained and analysed with regard to their temporal variation and environmental factors. We gained these data for an inland temperate region over 3 years (2018, 2020–2021), identifying the microalgal genera Bracteacoccus, Desmococcus, Geminella, Chlorella, Klebsormidium, and Stichococcus (Chlorophyta) and cyanobacterium Nostoc in the volumetric trap samples and three more in the cultivated samples. The mean annual concentration recorded over 3 years was 19,182 cells*day/m3, with the greatest contribution from the genus Bracteacoccus (57%). Unlike some other bioparticles like pollen grains, autotrophic microorganisms were present in the samples over the course of the whole year, with greatest abundance in February and April. The peak daily concentration reached the highest value (1011 cells/m3) in 2021, while the mean daily concentration during the three analysed years was 56 cells/m3. The analysis of intra-diurnal patterns showed their increased presence in daylight hours, with a peak between 2 and 4 p.m. for most genera, which is especially important due to their potential to trigger allergy symptoms. From the environmental factors, wind speed had a most significant positive association with their concentration, while relative air humidity had a negative influence.