bluuebunny/crossref_metadata_2025_split huggingface dataset:
A journey through languages: A systematic literature review on the multilingual experience in counselling and psychotherapy with children and adolescents
Authors: Serrani Laura 
Published: November 2022

AbstractThe purpose of this research was to address the gap in the existing literature on the multilingual aspect of language in psychotherapy with children and adolescents. This research aimed at interpreting possible meanings for clients of being multilingual in the therapeutic process as well as reflect on the influence of clients’ multilingualism in the therapeutic relationship. The researcher used a systematic literature review (PRISMA guidelines, 2009) to select articles based on empirical qualitative/mixed studies with participants up to 25 years old or adults referring to childhood/adolescence. The researcher used thematic synthesis (Thomas & Harden, 2008) to extract, analyse and interpret data. The rigour of this study was enhanced by the use of auto‐ethnography as a source of evidence (McLeod, 2015). The auto‐etnography documents self‐reflections on personal experience of being multilingual contributing to deeper contextualised knowledge. The findings confirm previous research on the existence of a link between multilingualism and “identity” (Costa, 2020, p. 5). This research suggests that the meaning a client gives to bilingualism can be co‐constructed within an attuned therapeutic relationship. In this co‐construction journey, there is a significant opportunity for children and young people in finding their way through languages, hence reaching emancipation and affirmation in the world. The main limitation of this research relates to the fact that there are not many studies with children/young people. This led the researcher to also include studies based on a mixed sample and with adults referring to childhood/adolescence, which might have influenced the interpretation of findings.
Antiracism internship: Applying the ecological social justice school counseling theory
Authors: Johnson Kaprea F. , Brookover Dana L. , Gantt‐Howrey Alexandra , Clemons Krystal L. , Robins Lauren B. 
Published: November 2022

AbstractThis manuscript describes an empirically designed internship course that utilized the Ecological Social Justice School Counseling theory to teach internship students how to engage in antiracist practice to address social determinants of health in schools. The research reports on the eight school counseling internship students' experiences, through five themes and 12 subthemes, highlighting the ways they increased awareness of SDOH, antiracist practice, and related constructs at their schools and with students including their action toward addressing SDOH, advocacy, barriers, and growth. Implications for counselor educators and site supervisors conclude.
Critical Analysis of MXene Production with In‐Situ HF Forming Agents for Sustainable Manufacturing
Authors: Gentile Antonio , Marchionna Stefano , Balordi Marcella , Pagot Gioele , Ferrara Chiara , Di Noto Vito , Ruffo Riccardo 
Published: November 2022

AbstractInvited for this issue's Front Cover is the Research group of Prof. Riccardo Ruffo from University of Milano Bicocca (Italy). The cover picture shows schematically the synthesis of the MXene 2D material (on the right) using acidic solutions starting from the lamellar 3D MAX phase (on the left) avoiding the direct use of HF to improve the sustainability of the MXenes production. Read the full text of the Research Article at 10.1002/celc.202200891.
Spontaneous Formation of Heterostructured Perovskite Films for Photovoltaic Application
Authors: Liu Xinyi , Yang Hua Gui , Yang Shuang , Hou Yu 
Published: November 2022

AbstractPerovskite solar cells (PSCs) are the one of most promising photovoltaic technologies that can be achieved by a simple solution process. At the current stage, the key issues concern further improvements in efficiency and operational lifetime. Constructing a self‐assembled perovskite structure with manipulated chemical and physical properties is a useful and effective strategy to solve these problems. Herein, we review the basic principles of and recent progress in the spontaneous formation behavior of heterostructured perovskite thin films. This concept provides insightful clues for the design and fabrication of stable and efficient PSCs for next‐generation photovoltaics.
Olfactomedin 4 associates with expression of differentiation markers but not with properties of cancer stemness, EMT nor metastatic spread in colorectal cancer
Authors: Jaitner Stefanie , Pretzsch Elise , Neumann Jens , Schäffauer Achim , Schiemann Matthias , Angele Martin , Kumbrink Jörg , Schwitalla Sarah , Greten Florian R , Brandl Lydia , Klauschen Frederick , Horst David , Kirchner Thomas , Jung Andreas 
Published: November 2022

AbstractTumor stem cells play a pivotal role in carcinogenesis and metastatic spread in colorectal cancer (CRC). Olfactomedin 4 (OLFM4) is co‐expressed with the established stem cell marker leucine‐rich repeat‐containing G protein‐coupled receptor 5 at the bottom of intestinal crypts and has been suggested as a surrogate for cancer stemness and a biomarker in gastrointestinal tumors associated with prognosis. Therefore, it was the aim of the present study to clarify whether OLFM4 is involved in carcinogenesis and metastatic spread in CRC. We used a combined approach of functional assays using forced OLFM4 overexpression in human CRC cell lines, xenograft mice, and an immunohistochemical approach using patient tissues to investigate the impact of OLFM4 on stemness, canonical Wnt signaling, properties of metastasis and differentiation as well as prognosis. OLFM4 expression correlated weakly with tumor grade in one patient cohort (metastasis collection: p = 0.05; pooled analysis of metastasis collection and survival collection: p = 0.19) and paralleled the expression of differentiation markers (FABP2, MUC2, and CK20) (p = 0.002) but did not correlate with stemness‐associated markers. Further analyses in CRC cells lines as well as xenograft mice including forced overexpression of OLFM4 revealed that OLFM4 neither altered the expression of markers of stemness nor epithelial–mesenchymal transition, nor did OLFM4 itself drive proliferation, migration, or colony formation, which are all prerequisites of carcinogenesis and tumor progression. In line with this, we found no significant correlation between OLFM4 expression, metastasis, and patient survival. In summary, expression of OLFM4 in human CRC seems to be characteristic of differentiation marker expression in CRC but is not a driver of carcinogenesis nor metastatic spread.
Lung and colon cancer classification using hybrid principle component analysis network‐extreme learning machine
Authors: Naga Raju Mallela Siva , Srinivasa Rao Battula 
Published: November 2022

SummaryLung and colon cancers are dangerous diseases that can grow in organs and create a negative impact on human life in certain cases. The histological detection of such malignancies is one of the most critical parts of optimal treatment. As a result, the important objective of this article is to create an effective computerized diagnosis system for identifying adenocarcinomas of the colon as well as, adenocarcinomas and squamous cell carcinomas of the lungs using digital histopathology images and the combination of deep and machine learning techniques. For this, an effective optimized hybrid deep and machine learning framework is developed. This framework consists of two stages. In the first stage, the features of lung and colon images are extracted by principle component analysis network. Then the effective classification is conducted based on extreme learning machine (ELM) with the rider optimization algorithm which classifies lung and colon cancer into five types. The empirical investigation shows that the classification results on the benchmark LC25000 dataset have improved significantly. The use of this model will aid medical professionals in the development of an automatic and reliable system for detecting various forms of lung and colon cancers.
Hybrid extreme learning machine based bidirectional longshort‐termmemory for crop prediction
Authors: Shingade Sachin Dattatraya , Mudhalwadkar Rohini Prashant 
Published: November 2022

SummaryThis article introduces a new crop prediction method using hybrid machine learning (ML) and deep learning (DL) models. The proposed model comprises four phases: data preprocessing, feature fusion, feature selection, and prediction. Initially, the dataset is built with the information collected by 250 sensors located at different places in Maharashtra. The constructed dataset has provided sample data for 31 crops, each with four attributes: temperature, humidity, rainfall, and soil potential of hydrogen. After constructing the dataset, preprocessing is the initial step of the proposed framework. Then, feature fusion and selection were performed using the remora‐based partial least squares regression method to achieve the best accuracy. Eventually, the most discriminatory features are incorporated into the hybrid ML and DL model known as the extreme learning machine based on the bi‐directional long short‐term memory for final prediction. The proposed method is implemented in the python platform, and the performance is evaluated in terms of accuracy, precision, recall, F‐measure, Kappa, MAE, and log loss. Then, the performance of the proposed method is compared with recent existing methods. As a result, the simulated outcomes proved that the proposed method had achieved better performance than the existing methods.
Estimating the In Vivo Function of CYP2D6 Alleles through Population Pharmacokinetic Modeling of Brexpiprazole
Authors: Frederiksen Trine , Areberg Johan , Raoufinia Arash , Schmidt Ellen , Stage Tore Bjerregaard , Brøsen Kim 
Published: November 2022

Accurate prediction of CYP2D6 phenotype from genotype information is important to support safe and efficacious pharmacotherapy with CYP2D6 substrates. To facilitate accurate CYP2D6 genotype–phenotype translation, there remains a need to investigate the enzyme activity associated with individual CYP2D6 alleles using large clinical data sets. This study aimed to quantify and compare the in vivo function of different CYP2D6 alleles through population pharmacokinetic (PopPK) modeling of brexpiprazole using data from 13 clinical studies. A PopPK model of brexpiprazole and its two metabolites, DM‐3411 and DM‐3412, was developed based on plasma concentration samples from 826 individuals. As the minor metabolite, DM‐3412, is formed via CYP2D6, the metabolic ratio of DM‐3412:brexpiprazole calculated from the PopPK parameter estimates was used as a surrogate measure of CYP2D6 activity. A CYP2D6 genotype–phenotype analysis based on 496 subjects showed that the CYP2D6*2 allele (n = 183) was associated with only 10% enzyme activity relative to the wild‐type allele (CYP2D6*1) and a low enzyme activity was consistently observed across genotypes containing CYP2D6*2. Among the decreased function alleles, the following enzyme activities relative to CYP2D6*1 were estimated: 23% for CYP2D6*9 (n = 20), 32% for CYP2D6*10 (n = 62), 64% for CYP2D6*14 (n = 1), 4% for CYP2D6*17 (n = 37), 4% for CYP2D6*29 (n = 13), and 9% for CYP2D6*41 (n = 64). These findings imply that a lower functional value would more accurately reflect the in vivo function of many reduced function CYP2D6 alleles in the metabolism of brexpiprazole. The low enzyme activity observed for CYP2D6*2, which has also been reported by others, suggests that the allele exhibits substrate‐specific enzyme activity.
Methodological Studies of the Mechanism of Anion Insertion in Nanometer‐Sized Carbon Micropores
Authors: Welty Connor , Taylor Erin E. , Posey Sadie , Vailati Patric , Kravchyk Kostiantyn V. , Kovalenko Maksym V. , Stadie Nicholas P. 
Published: November 2022

AbstractDual‐ion hybrid capacitors (DIHCs) are a promising class of electrochemical energy storage devices intermediate between batteries and supercapacitors, exhibiting both high energy and power density, and generalizable across wide chemistries beyond lithium. In this study, a model carbon framework material with a periodic structure containing exclusively 1.2 nm width pores, zeolite‐templated carbon (ZTC), was investigated as the positive electrode for the storage of a range of anions relevant to DIHC chemistries. Screening experiments were carried out across 21 electrolyte compositions within a common stable potential window of 3.0–4.0 V vs. Li/Li+ to determine trends in capacity as a function of anion and solvent properties. To achieve fast rate capability, a binary solvent balancing a high dielectric constant with a low viscosity and small molecular size was used; optimized full‐cells based on LiPF6 in binary electrolyte exhibited 146 Wh kg−1 and >4000 W kg−1 energy and power densities, respectively.
Nonlinear effects of environmental drivers shape macroinvertebrate biodiversity in an agricultural pondscape
Authors: Musseau Camille L. , Onandia Gabriela , Petermann Jana S. , Sagouis Alban , Lischeid Gunnar , Jeschke Jonathan M. 
Published: November 2022

AbstractAgriculture is a leading cause of biodiversity loss and significantly impacts freshwater biodiversity through many stressors acting locally and on the landscape scale. The individual effects of these numerous stressors are often difficult to disentangle and quantify, as they might have nonlinear impacts on biodiversity. Within agroecosystems, ponds are biodiversity hotspots providing habitat for many freshwater species and resting or feeding places for terrestrial organisms. Ponds are strongly influenced by their terrestrial surroundings, and understanding the determinants of biodiversity in agricultural landscapes remains difficult but crucial for improving conservation policies and actions. We aimed to identify the main effects of environmental and spatial variables on α‐, β‐, and γ‐diversities of macroinvertebrate communities inhabiting ponds (n = 42) in an agricultural landscape in the Northeast Germany, and to quantify the respective roles of taxonomic turnover and nestedness in the pondscape. We disentangled the nonlinear effects of a wide range of environmental and spatial variables on macroinvertebrate α‐ and β‐biodiversity. Our results show that α‐diversity is impaired by eutrophication (phosphate and nitrogen) and that overshaded ponds support impoverished macroinvertebrate biota. The share of arable land in the ponds' surroundings decreases β‐diversity (i.e., dissimilarity in community), while β‐diversity is higher in shallower ponds. Moreover, we found that β‐diversity is mainly driven by taxonomic turnover and that ponds embedded in arable fields support local and regional diversity. Our findings highlight the importance of such ponds for supporting biodiversity, identify the main stressors related to human activities (eutrophication), and emphasize the need for a large number of ponds in the landscape to conserve biodiversity. Small freshwater systems in agricultural landscapes challenge us to compromise between human demands and nature conservation worldwide. Identifying and quantifying the effects of environmental variables on biodiversity inhabiting those ecosystems can help address threats impacting freshwater life with more effective management of pondscapes.
Anguimorpha as a model group for studying the comparative heart morphology among Lepidosauria: Evolutionary window on the ventricular septation
Authors: Gregorovicova Martina , Bartos Martin , Jensen Bjarke , Janacek Jiri , Minne Bryan , Moravec Jiri , Sedmera David 
Published: November 2022

AbstractThe group Anguimorpha represents one of the most unified squamate clades in terms of body plan, ecomorphology, ecophysiology and evolution. On the other hand, the anguimorphs vary between different habitats and ecological niches. Therefore, we focused on the group Anguimorpha to test a possible correlation between heart morphology and ecological niche with respect to phylogenetic position in Squamata with Sphenodon, Salvator, and Pogona as the outgroups. The chosen lepidosaurian species were investigated by microCT. Generally, all lepidosaurs had two well‐developed atria with complete interatrial septum and one ventricle divided by ventricular septa to three different areas. The ventricles of all lepidosaurians had a compact layer and abundant trabeculae. The compact layer and trabeculae were developed in accordance with particular ecological niche of the species, the trabeculae in nocturnal animals with low metabolism, such as Sphenodon, Heloderma or Lanthanotus were more massive. On the other hand athletic animals, such as varanids or Salvator, had ventricle compartmentalization divided by three incomplete septa. A difference between varanids and Salvator was found in compact layer thickness: thicker in monitor lizards and possibly linked to their mammalian‐like high blood pressure, and the level of ventricular septation. In summary: heart morphology varied among clades in connection with the ecological niche of particular species and it reflects the phylogenetic position in model clade Anguimorpha. In the absence of fossil evidence, this is the closest approach how to understand heart evolution and septation in clade with different cardiac compartmentalization levels.
Complex urban environments provide Apis mellifera with a richer plant forage than suburban and more rural landscapes
Authors: Fox Graeme , Vellaniparambil Latha R. , Ros Loreto , Sammy Joshua , Preziosi Richard F. , Rowntree Jennifer K. 
Published: November 2022

AbstractGrowth in the global development of cities, and increasing public interest in beekeeping, has led to increase in the numbers of urban apiaries. Towns and cities can provide an excellent diet for managed bees, with a diverse range of nectar and pollen available throughout a long flowering season, and are often more ecologically diverse than the surrounding rural environments. Accessible urban honeybee hives are a valuable research resource to gain insights into the diet and ecology of wild pollinators in urban settings. We used DNA metabarcoding of the rbcL and ITS2 gene regions to characterize the pollen community in Apis mellifera honey, inferring the floral diet, from 14 hives across an urban gradient around Greater Manchester, UK. We found that the proportion of urban land around a hive is significantly associated with an increase in the diversity of plants foraged and that invasive and non‐native plants appear to play a critical role in the sustenance of urban bees, alongside native plant species. The proportion of improved grassland, typical of suburban lawns and livestock farms, is significantly associated with decreases in the diversity of plant pollen found in honey samples. These findings are relevant to urban landscape developers motivated to encourage biodiversity and bee persistence, in line with global bio‐food security agendas.
The lipidome of an omnivorous insect responds to diet composition and social environment
Authors: Gutiérrez Yeisson , Fresch Marion , Scherber Christoph , Brockmeyer Jens 
Published: November 2022

AbstractLipids are biomolecules with essential roles in metabolic processes, signaling, and cellular architecture. In this study, we investigated changes in the lipidome of the house cricketAcheta domesticussubjected to diets of different nutritional composition (i.e., protein to carbohydrate ratio) and two distinct social environments (i.e., solitary or in groups). We measured relative abundances of 811 lipid species in whole‐body cricket samples using flow injection analysis coupled to tandem mass spectrometry. We assessed differences in the relative abundances of lipid species induced by diet composition and social environment in female and maleA. domesticus. Additionally, we performed a functional analysis of the lipids with significant differences using a recently developed database. We found that most differences in the relative abundances of lipid species were explained by sex alone. Furthermore, the lipidome of femaleA. domesticuswas responsive to diet composition. Females fed with the balanced diet had an even higher abundance of lipids involved in lipid storage than their counterparts fed with a protein‐rich diet. Interestingly, the male cricket lipidome was not responsive to diet composition. In addition, the social environment did not induce significant changes in the lipid profile neither in female nor in male crickets.
Landscape dynamics of a vector‐borne disease in the westernUS: How vector–habitat relationships inform disease hotspots
Authors: Elias Emile , Savoy Heather M. , Swanson Dustin A. , Cohnstaedt Lee W. , Peters Debra P. C. , Derner Justin D. , Pelzel‐McCluskey Angela , Drolet Barbara , Rodriguez Luis 
Published: November 2022

AbstractVesicular stomatitis (VS) is a vector‐borne viral disease that causes lesions in livestock, premises, county and state quarantines, and important economic losses. We investigated vector–habitat characteristics for vectors associated with VS in regions of recurrent disease within the western United States (US) that consistently lead to the environment where vector, host, and pathogen populations intersect to enable pathogen transmission. We analyzed the habitats of previously identified insect vectors, including black flies (BFs) (Simulium vittatumcomplex), biting midges (BMs) (Culicoides variipenniscomplex, which includesCulicoides sonorensis), and sand flies (SFs) (Lutzomyia shannoni) in six regions of interest (ROIs) containing hotspots of VS ranging from Texas (TX) to Wyoming. This analysis broadened the understanding of (1) how regions of reoccurring VS differ from the broader western US, (2) how geographically separated regions and hotspots are similar across time, and (3) how vector–environment habitat a priori knowledge relates to observed hotspots. Analysis of watershed factors (livestock densities, land‐cover proportions, stream and lake densities, and irrigation methods) indicated a complex system separating areas with high, recurring VS from the broader western US. Although no single characteristic separated the six ROIs from other areas, we found two distinct emerging groups (northern ROI and TX). Hotspots, estimated from monthly VS concentrations, evolved northward throughout the year and most hotspots were closer to flowing water and agricultural land than the broader ROI. All ROIs contained environmental conditions suitable for multiple vectors at some point in the year, but BFs had the highest suitability scores, whereas BM scores were lower and varied annually with higher suitability in summer. SFs had the lowest suitability score in all ROIs, consistent with their low likelihood of being vectors. BM habitat patches were often orders of magnitude smaller than BF patches, and hotspot patches reinforce the likelihood that BF may be the most critical vector in northern ROI, whereas both BM and BF have similar likelihood in southern ROI. Given limited existing vector data, this analysis provides an alternate pathway for using habitat information to associate likely vectors responsible for transmission. Results could support early warning and mitigation efforts to reduce the incidence of VS.