bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transition metal-modification of carrageenan-silica hybrids by a sol–gel method
Authors: Soares Sofia F. , Daniel-da-Silva Ana L. , Trindade Tito 
Published: April 2023

AbstractTransition metal (TM)-modification of silica matrices are found in numerous materials for diverse applications. In other related hybrid materials, one tries to explore properties that result from combining the silica network with organic moieties, such as in the covalent grafting of polysaccharides onto amorphous nanosilicas. However, sol–gel routes for modification with TM have been less explored for hybrid siliceous materials. The present study demonstrates the effective modification of hybrid siliceous materials with TM (TM = Co2+, Ni2+, Cu2+, Zn2+) that result from a sol–gel method that uses as a precursor the polysaccharide κ-carrageenan that was modified with a covalently alkoxysilane linked. Structural analysis and characterization studies of the derived carrageenan-silica hybrids were undertaken, and, in particular, the effects of the TM ions on the hybrids’ properties have been assessed. This work clearly indicates that the modification with TM imposes changes on the morphological, optical, and thermal properties of the hybrids compared to the unmodified analogs. Hence, the practical applicability of the modification with TM using the sol–gel described here is not limited to the presence of the guest ion but also provides a tool for changing the properties of the host particles.
Graphical Abstract
Unraveling a paradox of habitat relationships: scale-dependent drivers of temporal occupancy-abundance relationships in a cooperatively breeding bird
Authors: Hagemeyer Natasha D. G. , Pesendorfer Mario B. , Koenig Walter D. , Walters Eric L. 
Published: April 2023

Abstract
Context
Spatial occupancy and local abundance of species often positively covary, but the mechanisms driving this widespread relationship are poorly understood. Resource dynamics and habitat changes have been suggested as potential drivers, but long-term studies relating them to abundance and occupancy are rare. In this 34-year study of acorn woodpeckers (Melanerpes formicivorus), a cooperatively breeding species, we observed a paradoxical response to changes in habitat composition: despite a reduction in the availability of high-quality breeding habitat, the population increased considerably.

Objectives
We investigated the role of annual variation in food availability and long-term changes in habitat composition as predictors of population dynamics.

Methods
Using model selection, we contrasted competing hypotheses on the effects of changing resource availability on occupancy and social group size across three spatial scales: territory, neighborhood, and landscape.

Results
The increase in abundance was largely determined by the formation of new social groups, driven by a landscape-level expansion of canopy cover and its interaction with neighborhood-level acorn abundance, indicative of long-term increases in overall acorn productivity. Group size increased with neighborhood acorn crop two years earlier but groups were smaller in territories with more canopy cover.

Conclusions
Our results indicate that scale-dependent processes can result in paradoxical relationships in systems with spatial and temporal resource heterogeneity. Moreover, the findings support the role of resources in driving changes in abundance and occupancy at a landscape scale, suggesting that colonization of marginal habitat drives the positive occupancy-abundance relationship in this cooperatively breeding species.
Learning environments in compulsory secondary education (ESO): validation of the physical, learning, teaching and motivational scales
Authors: García-Rodríguez María Pilar , Conde-Velez Sara , Delgado-García Manuel , Carmona Márquez José 
Published: April 2023

AbstractWe present the validation of a questionnaire for compulsory secondary school students (seventh to tenth grade), designated “Educational learning environments for ESO pupils” (CEApA_ESO), for the purpose of evaluating learning environments. Although many instruments have been developed in this area, our work attempts to comprehensively cover some factors that most influence learning environments from the students’ perspective. Therefore, we included physical, learning, teaching and motivational elements, by adapting different already-validated scales to our intended overall approach and the Spanish context. We conducted a pilot study with 207 students from four grades (two classes per educational level). We performed descriptive and factor analyses with maximum likelihood extraction method and varimax rotation to identify factors underlying each scale. The factors extracted from each scale were used to evaluate the fit of the model, using the AMOS v.18 software for structural equation analysis, taking as reference the criteria set by Byrne (Structural equation modeling with AMOS: Basic concepts, applications, and programming, Taylor & Francis Group, 2010) and Kline (Principles and practice of structural equation modeling, The Guilford Press, 2010) (CMIN/DF between 2 and 5, CFI and IFI > 0.9, RMSEA < 0.06 and HOELTER > 200). Finally, we present the factorial validity of the complete scale and analyse the internal consistency of the scale and its subscales using Cronbach’s alpha coefficient. This instrument, with adequate psychometric properties, offers educators and researchers a valid tool for assessing the learning environments of their schools.
Origin, variation, and selection of natural alleles controlling flowering and adaptation in wild and cultivated soybean
Authors: Hou Zhihong , Fang Chao , Liu Baohui , Yang Hui , Kong Fanjiang 
Published: April 2023

AbstractSoybean (Glycine max) is an economically important crop worldwide, serving as a major source of oil and protein for human consumption and animal feed. Cultivated soybean was domesticated from wild soybean (Glycine soja) which both species are highly sensitive to photoperiod and can grow over a wide geographical range. The extensive ecological adaptation of wild and cultivated soybean has been facilitated by a series of genes represented as quantitative trait loci (QTLs) that control photoperiodic flowering and maturation. Here, we review the molecular and genetic basis underlying the regulation of photoperiodic flowering in soybean. Soybean has experienced both natural and artificial selection during adaptation to different latitudes, resulting in differential molecular and evolutionary mechanisms between wild and cultivated soybean. The in-depth study of natural and artificial selection for the photoperiodic adaptability of wild and cultivated soybean provides an important theoretical and practical basis for enhancing soybean adaptability and yield via molecular breeding. In addition, we discuss the possible origin of wild soybean, current challenges, and future research directions in this important topic.
Deep learning-based energy efficiency and power consumption modeling for optical massive MIMO systems
Authors: Salama Wessam M. , Aly Moustafa H. , Amer Eman S. 
Published: April 2023

AbstractThe fifth generation (5G) wireless communication system is considered a promising and recent research. Massive Multiple-Input Multiple-Output (MIMO) system has an influential role in improving game-changing enhancements in area throughput and energy efficiency (EE). EE refers to one of the easiest and most cost-effective ways to combat climate change, reduce energy costs for consumers, and improve the competitiveness of businesses. Deep Learning (DL) can significantly improve area throughput and EE. It plays a crucial role in the 5G wireless communication systems. Optical systems are not far from this system, which include the optical components which serve more accurately.To assess the overall power usage in up-link and down-link communications, a power dissipated model is introduced. The proposed model incorporates the overall power used by the base station (BS) power amplifier and circuit components as well as single antenna user equipment (UE). In this paper, EE and power consumption of massive MIMO systems are calculated based on Convolutional Neural Network hybrid with Long Short-Term Memory cell (CNNLSTM). This model is proposed to overcome the high complexity and over fitting by replacing the inner dense connections with convolution layers resulting in improved model performance. There are different linear processing schemes applied for detection and precoding, as Minimum Mean Squared Error (MMSE), Zero-Forcing (ZF), and Maximum Ratio Transmission/Maximum Ratio Combining (MRT/MRC). These schemes are applied to train our proposed CNNLSTM.It is observed the results are improved by 12.8% when using ZF (perfect CSI) and the system outperforms other schemes by 10%, 10.44% and 12.05% when using MRT, ZF (imperfect CSI), and MMSE, respectively, for the EE performance. The obtained results also reveal that an improvement of 7.5% is achieved when using MRT. It outperforms other schemes by 6.5%, 5% and 5%, respectively, when using ZF (perfect CSI), ZF (imperfect CSI), and MMSE for average power consumption per antenna using the CNNLSTM model. When using MRT, an improvement of 7.5% is achieved in the area throughput performance, and it outperformed the other schemes, ZF (perfect CSI), ZF (imperfect CSI) and MMSE, by 5.2%, 5% and 5.2%, respectively.
Refractory Pit1 plurihormonal tumours and thyrotroph adenomas
Authors: NF Lenders , AI McCormack 
Published: April 2023

AbstractPit-1 tumours are derived from neoplastic cells of either somatotroph, lactotroph or thyrotroph cell lineages, but there are also distinct mixed tumours and plurihormonal tumours within this category as described within the 2022 edition of the WHO classification of pituitary tumours. Plurihormonal tumours and thyrotroph adenomas are transcriptionally similar and grouped together to discuss in this review, although it is clear an immature type of plurihormonal tumour exists which are more commonly associated with refractory disease. Management of residual or recurrent disease should follow that of other aggressive pituitary tumours, although a trial of somatostatin analogue therapy is certainly warranted before considering temozolomide therapy.
Trans-contextual work: doing entrepreneurial contexts in the periphery
Authors: Muñoz Pablo , Kimmitt Jonathan , Spigel Ben 
Published: April 2023

AbstractThis study explores how entrepreneurs “do” contexts in peripheral areas. Through the examination of changes in roles, practices, and relationships across peripheral areas in Chile, we found that substantive transformations result from the momentary repurposing of systems of provision, types of inter-dependencies, and sources of reliance within public, community, and family contexts. Drawing from the perspective of interstitial spaces and extensive data, this is done through three interwoven interaction rituals: support seeking, neighboring, and nesting. We abductively theorize the connection between these rituals as trans-contextual work. As entrepreneurs do contexts through trans-contextual work new entrepreneurial ideas, practices and artifacts begin to reorganize community resources and transform the commune’s social into an entrepreneurial life. Our research expands the current understanding of contextual change in peripheral areas and contextualization in entrepreneurship more broadly.
Bayesian inference of spatial and temporal relations in AI patents for EU countries
Authors: Rusek Krzysztof , Kleszcz Agnieszka , Cabellos-Aparicio Albert 
Published: April 2023

AbstractIn the paper, we propose two models of Artificial Intelligence (AI) patents in European Union (EU) countries addressing spatial and temporal behaviour. In particular, the models can quantitatively describe the interaction between countries or explain the rapidly growing trends in AI patents. For spatial analysis Poisson regression is used to explain collaboration between a pair of countries measured by the number of common patents. Through Bayesian inference, we estimated the strengths of interactions between countries in the EU and the rest of the world. In particular, a significant lack of cooperation has been identified for some pairs of countries. Alternatively, an inhomogeneous Poisson process combined with the logistic curve growth accurately models the temporal behaviour by an accurate trend line. Bayesian analysis in the time domain revealed an upcoming slowdown in patenting intensity.
Gendered Mental Labor: A Systematic Literature Review on the Cognitive Dimension of Unpaid Work Within the Household and Childcare
Authors: Reich-Stiebert Natalia , Froehlich Laura , Voltmer Jan-Bennet 
Published: April 2023

AbstractWith this literature review, we provide a systematic overview on and working definition of mental labor in the context of unpaid work—an inherent cognitive component of daily routines primarily related to domestic or childcare tasks. Our methodology followed PRISMA guidelines, and 31 full-text articles were included. Articles were peer-reviewed and published in social science, sociological, and psychological journals. The studies applied quantitative and qualitative methodological approaches including, interviews, online surveys, observations of family routines, time estimates, and experiments. The samples covered a wide age range, consisting mostly of U.S. American or European middle-class women and men (married or in a relationship). Predominantly, the articles show that women perform the larger proportion of mental labor, especially when it comes to childcare and parenting decisions. Further, women experience more related negative consequences, such as stress, lower life and relationship satisfaction, and negative impact on their careers. We offer an integrative theoretical perspective to explain the gendered distribution of mental labor and cognitive load. We consider theoretical and practical implications of these findings for reducing gender inequality in mental labor in the context of unpaid work within the household and childcare.
It Takes Two to Tango: Links Between Traditional Beliefs About both Men’s and Women’s Gender Roles and Comfort Initiating Sex and Comfort Refusing Sex
Authors: Harrington Auguste G. , Maxwell Jessica A. 
Published: April 2023

AbstractTraditional gender roles dictate rigid rules and standards prescribing which behaviors, thoughts, and feelings are considered masculine and feminine within sexual contexts, and thus internalizing these beliefs (higher traditional gender ideology) may influence sexual attitudes. Prior theorizing has primarily focused on how women’s traditional beliefs about women’s gender roles (traditional femininity ideology) and men’s traditional beliefs about men’s gender roles (traditional masculinity ideology) influence their sexual assertiveness. Yet, men can hold traditional beliefs about women, and women can hold traditional beliefs about men, and these beliefs should have important implications for sexual assertiveness. We addressed this gap by testing how both heterosexual women’s (n = 389) and men’s (n = 393) traditional masculinity and femininity ideologies associate with their reported comfort initiating sex and comfort refusing sex in their relationships. When accounting for both sets of beliefs, women’s traditional beliefs about men’s and women’s roles interacted to predict comfort initiating sex, but not comfort refusing sex. Men’s traditional beliefs about men’s roles predicted less comfort refusing sex, and their traditional beliefs about women’s roles predicted less comfort initiating sex. This novel research underscores the importance of considering beliefs about both sets of traditional gender roles for understanding people’s sexual attitudes.
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Authors: Daoud Adel , Jordán Felipe , Sharma Makkunda , Johansson Fredrik , Dubhashi Devdatt , Paul Sourabh , Banerjee Subhashis 
Published: April 2023

AbstractUsing deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer learning, the census-based model is used as a feature extractor to train another model that predicts an even larger set of developmental variables—over 90 variables—included in two rounds of the National Family Health Survey (NFHS). The census-based-feature-extractor model outperforms the current standard in the literature for most of these NFHS variables. Overall, the results show that combining satellite data with Indian Census data unlocks rich information for training deep models that track human development at an unprecedented geographical and temporal resolution.
Prejudice and need for relatedness expressed in the narratives of Finnish Roma early school leavers: A multi-case study
Authors: Pikkarainen Merja T. , Kykyri Virpi-Liisa 
Published: April 2023

AbstractSchool discontinuation in Finland is more common among the Finnish Roma than among the population as a whole. We lack knowledge of the perspective of those of the Roma, representing a minority inside a minority, who have left compulsory school without a leaving certificate. Within a study about school experiences of imprisoned early school leavers in Finland we had six participants with a Finnish Roma background, whose experiences of relatedness, and frustration of it, we examine in this paper. We conducted narrative interviews with the participants, applying a co-operative narrative interpretation to the meanings of what was told. After the field process, we interpreted the narrative accounts focusing on experiences of relatedness, and how relationships with people in the school environment affected the participants’ sense of belonging together with the people in the school environment. Frustration of relatedness was identified at three levels. Firstly, at a general, life condition level, cultural prejudice manifested itself as a sense of not being accepted and respected as an equal with other people, the situation creating a constant need to cope with outspoken prejudices. Secondly, at a contextual-specific level in the school environment, we identified experiences of being rejected by peers and their parents, as well as some of the teachers. This was linked with a sense of loneliness and detachment from other people in the school environment. Thirdly, at a situational level, the participants described both positive relationships, such as momentary friendships, and negative experiences of being excluded from the peer group. Pathways for further inquiries are discussed.
Direct oral anticoagulants: patient reported adherence and minor bleedings
Authors: Hayat Amina , Själander Anders , Wallvik Jonas 
Published: April 2023

AbstractData regarding adherence and minor bleeding on direct oral anticoagulants in everyday life are still sparse. Inclusion criteria: treatment initiated with dabigatran, rivaroxaban or apixaban in non-valvular atrial fibrillation patients from a center in northern Sweden between 2011 and 2019 (n = 668). Exclusion criteria: cognitive impairment, dose dispensing, need of interpreter or hospital admission (n = 67). By a telephone interview adherence was measured in 569 patients (response rate 94.8%) using the 8-item Morisky medication adherence scale and minor bleeding was asked for. CHA2DS2-VASc and HAS-BLED scores were collected from medical records. The number (n), mean age, mean treatment duration, mean (points) CHA2DS2-VASc and HAS-BLED scores was with dabigatran (n = 175, 73.3 years, 17.8 months, 3.6 p and 2.2 p), rivaroxaban (n = 198, 73.7 years, 21months, 3.8 p and 2.1 p) and apixaban (n = 196, 72.7 years, 15.2 months, 3.4 p and 2.1 p). Adherence was high for dabigatran, rivaroxaban and apixaban in 54%, 76% and 53%; intermediate in 37%, 20% and 37% or low in 9%, 4% and 10% respectively. High adherence (Morisky score 8) distinguished rivaroxaban (p < 0.0001) and in patients with CHA2DS2-VASc ≥ 4 p, (p < 0.0001). Patients on rivaroxaban/apixaban reported more minor bleedings (37% / 28%) compared to dabigatran (13%), (p < 0.001). Only 61% of the patients followed prescription. Adherence to rivaroxaban was significantly better, maybe due to the once daily dosing regimen, and furthermore among patients with higher risk for stroke. Minor bleedings were less common in the dabigatran group. The impact of minor bleedings on adherence and a possible relationship to clinical outcomes need to be further studied.
Pilot survey reveals ophidiomycosis in dice snakes Natrix tessellata from Lake Garda, Italy
Authors: Marini Daniele , Di Nicola Matteo R. , Crocchianti Veronica , Notomista Tommaso , Iversen Daniel , Coppari Luca , Di Criscio Michela , Brouard Vanessa , Dorne Jean-Lou C.M. , Rüegg Joëlle , Marenzoni Maria Luisa 
Published: April 2023

AbstractOphidiomycosis is an emerging infectious disease caused by the fungus Ophidiomyces ophidiicola (Oo). To date, Oo presence or associated disease condition has been recorded in wild and/or captive snakes from North America, Europe, Asia and Australia, but the data is still scarce outside the Nearctic. Although Italy is a country with a high snake biodiversity in the European panorama, and animals with clinical signs compatible with Oo infection have been documented, to date no investigations have reported the disease in the wild. Therefore, a pilot survey for the Italian territory was performed in conjunction with setting up a complete diagnostic workflow including SYBR Green-based real-time PCR assay for the detection of Oo genomic and mitochondrial DNA combined with histopathology of scale clips. Oo presence was investigated in 17 wild snake specimens from four different species. Four snakes were sampled in a targeted location where the mycosis was suspected via citizen science communications (i.e. North of the Lake Garda), whereas other ophidians were collected following opportunistic sampling. Oo genomic and mitochondrial DNA were detected and sequenced from all four Lake Garda Natrix tessellata, including three juveniles with macroscopic signs such as discolouration and skin crusts. From histopathological examination of scale clips, the three young positive individuals exhibited ulceration, inflammation and intralesional hyphae consistent with Oo infection, and two of them also showed the presence of arthroconidial tufts and solitary cylindrical arthrospores, allowing “Ophidiomycosis and Oo shedder” categorisation. For the remaining snake samples, the real-time PCR tested negative for Oo. This pilot survey permitted to localise for the first time Oo infection in free-ranging ophidians from Italy. Ophidiomycosis from Lake Garda highlights the need to increase sampling efforts in this area as well as in other northern Italian lakes to assess the occurrence of the pathogen, possible risk factors of the infection, its impact on host population fitness and the disease ecology of Oo in European snakes.