bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self‐regulated learning and technology among teacher candidates
Authors: Bembenutty Héfer 
Published: June 2023

AbstractExtensive evidence indicates that self‐regulated learning is associated with crucial academic outcomes and the significant ways digital technologies enhance pedagogical approaches in diverse learning environments in postsecondary education. Despite this evidence, self‐regulated learning and digital technologies have not been fully integrated to support teacher educators and teacher candidates. This chapter extends the existing literature about self‐regulated learning by integrating it with digital technologies among teacher candidates and describes a technology project in which teacher candidates identify the benefit of self‐regulated learning and technology. The chapter concludes by offering recommendations about integrating self‐regulated learning and technology in teacher preparation programs, including helping candidates to be proactive, self‐directed, and self‐efficacious. Candidates need to be agentic in their pursuit of the teaching profession during training programs that encourage and support a culturally proactive pedagogy.
Multiple biliary duct hamartomas in a cat resulting in a hepatic mass: A case report
Authors: Naghi Rachel , Bertran Judith , Spoldi Elisa , Dark Michael J. , de Oliveira Helena Hauck , Souza Carlos , Maxwell Elizabeth A. 
Published: June 2023

AbstractA 13‐year‐old, male neutered domestic short‐haired cat was diagnosed with multiple biliary duct hamartomas after liver lobectomy for a suspected malignant hepatic mass. Distinguishing ultrasonographic findings included a lobular, mostly well‐defined, heterogeneous, predominantly hyperechoic, left hepatic mass. Computed tomography (CT) confirmed the presence of a lobular, well‐defined, fluid to soft tissue attenuating, heterogeneously hypoenhancing left divisional hepatic mass. Grossly, a large left sided multilobular pale pink gelatinous hepatic mass was surgically excised. Histopathologically, the mass was composed of irregular cystic spaces lined by cuboidal epithelium and separated by mature regular fibrous tissue. Three months following surgery there was no evidence of recurrence or progression of disease on repeat abdominal ultrasound (AUS).
Critical review on data processing algorithms in non-target screening: challenges and opportunities to improve result comparability
Authors: Renner Gerrit , Reuschenbach Max 
Published: June 2023

AbstractNon-target screening (NTS) is a powerful environmental and analytical chemistry approach for detecting and identifying unknown compounds in complex samples. High-resolution mass spectrometry has enhanced NTS capabilities but created challenges in data analysis, including data preprocessing, peak detection, and feature extraction. This review provides an in-depth understanding of NTS data processing methods, focusing on centroiding, extracted ion chromatogram (XIC) building, chromatographic peak characterization, alignment, componentization, and prioritization of features. We discuss the strengths and weaknesses of various algorithms, the influence of user input parameters on the results, and the need for automated parameter optimization. We address uncertainty and data quality issues, emphasizing the importance of incorporating confidence intervals and raw data quality assessment in data processing workflows. Furthermore, we highlight the need for cross-study comparability and propose potential solutions, such as utilizing standardized statistics and open-access data exchange platforms. In conclusion, we offer future perspectives and recommendations for developers and users of NTS data processing algorithms and workflows. By addressing these challenges and capitalizing on the opportunities presented, the NTS community can advance the field, improve the reliability of results, and enhance data comparability across different studies.
Barriers and strength factors of adult immunization plans in seven countries of the European region
Authors: Lanza Teresa Eleonora , Lombardi Gaia Surya , Tumelero Serena , Paladini Andrea , Castagna Carolina , Cadeddu Chiara 
Published: June 2023

Abstract
Aim
The present systematic review analyzes existing strategies and policies used for adult vaccination of seven countries of the European area, emphasizing weaknesses and strengths of immunization schedules. Selected countries were Germany, France, the United Kingdom, Italy, Spain, Sweden, and Romania.

Subject and methods
Three main scientific databases (PubMed, Scopus, and Web of Science) were queried and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Studies assessing weaknesses or strengths factors, facilitators and barriers related to the adult vaccination plans were considered eligible. We included ten studies with a medium/high score at the quality assessment.

Results
The main barriers and strength factors for vaccination can be divided into the following categories: financial aspects (e.g., if the vaccine has a funding mechanism); logistic factors (e.g., convenience, opening times); factors related to healthcare professionals (e.g., recommendations, provision by different categories of healthcare professionals).

Conclusion
Substantial improvement in adult vaccination uptake is urgently necessary to decrease the burden of infectious disease on healthcare systems. Although decision-making regarding adult vaccination is complex and influenced by psychological and personal factors, addressing practical or logistical issues related to immunization plans can facilitate higher vaccination coverage.
Solving the winner determination problem with discounted bids in transportation auctions
Authors: Triki Chefi , Hasan Md. Rakibul , Elomri Adel 
Published: June 2023

AbstractContinuing advances in modern technologies have transformed the procedure of transportation procurement through auctions in supply chain management (SCM). This study examines the online combinatorial auction (CA), which serves customers placed at the nodes of a transportation network, with particular consideration given to carbon emissions. The CA mechanism allows early shipments of the carriers to improve their load consolidation and reduce their repositioning trips. Sustainability and carbon emissions are considered by prioritizing the carrier’s carbon reduction performances. Two models are examined under the carbon emission regulations (Carbon tax and Cap-and-offset) to choose the winners in the CA. Our aim is to minimize the cost of transportation procurement and reduce carbon emissions by incorporating the green reputation-based winner determination problem within the procurement model. Computational experiments reveal the positive impact of prioritization and discounted offers in reducing both transportation costs and the number of empty trips. Indeed, our results show the introduction of the discounted bids allows a reduction of about 2% in the transportation cost for the shipper and 24% of empty movements, on average, for the carriers.
Association Between Judgment Biases During Facial Processing and Body Dysmorphic Symptomatology
Authors: Dietel Fanny Alexandra , Jacobs Laura , Onken Rebecca , Buhlmann Ulrike , MacLeod Colin , Dondzilo Laura 
Published: June 2023

Abstract
Background
Recent work has shown that judgment biases during facial processing serve as a correlate of dysmorphic concern. The current study aimed to replicate and extend this work by further testing larger model-congruent interrelations between judgment biases and intrusions, negative affect, maladaptive behaviors and social media investment.

Methods
Females reporting high (n = 30) vs. low (n = 33) dysmorphic concern categorized photographs of their own and other faces in terms of either attractiveness or gaze direction using the Biased Judgment-Dimension Task. To assess intrusions and maladaptive behaviors, participants completed the Task-Irrelevant Intrusions Task and a 3-day diary, respectively.

Results
Results revealed that, regardless of judgment required, individuals low in dysmorphic concern were faster to make judgments about attractive vs. unattractive photographs. We termed this novel and potentially protective bias “Efficient Processing of Attractive Self” (EPAS). Furthermore, EPAS patterns predicted lower dysmorphic concern, higher self-esteem, and reduced maladaptive behaviors, including reduced screen time.

Conclusions
These findings are consistent with a potential relevance of EPAS in maintaining dysmorphic concern. Associations with cognitive-behavioral factors highlight potential benefits of modifying these bias patterns during visually oriented interventions.
Well known microbial plant growth promoters provoke plant growth suppression and increase chili pepper wilt caused by the root pathogen Phytophthora capsici
Authors: Raya-Hernández Andrea Iovanna , López-Carmona Dante , Jaramillo-López Pablo , Fernández-Pavía Sylvia Patricia , Carreón-Abud Yazmín , Fraire-Velázquez Saúl , Larsen John 
Published: June 2023

AbstractMicrobial plant growth promoters (MPGP) are known to improve crop nutrition and root health. Here we examined the effects of individual and combined inoculation of chili pepper (variety Camino Real) with the known plant growth promoters Rhizophagus irregularis (isolate BEG87) and a commercial product of Azospirillum brasilense on chili pepper growth and biocontrol against the oomycete root pathogen Phytophthora capsici (isolate CH11). In a greenhouse pot experiment, unfertilized ten-week-old chili pepper plants with individual and combined inoculation of R. irregularis and A. brasilense were confronted with P. capsici, and four weeks later plants were harvested and scored for plant growth and disease severity. Surprisingly, both MPGP not only decreased plant growth, but also promoted root rot caused by P. capsici. This increased disease severity with P. capsici root rot in mycorrhizal chili pepper was further corroborated in a second greenhouse pot experiment with inert growth substrate and mineral fertilization. In conclusion, individual and combined inoculation with R. irregularis and A. brasilense may not only cause plant growth suppression in chili pepper plants, but also increase root rot caused by P. capsici.
The dynamics and uniqueness of semigration to hermanus from across South Africa
Authors: Willemse Lodene 
Published: June 2023

AbstractCovid-19 significantly impacted the South African economy, particularly through geographical flexibility in workspaces, made possible by improvements in smart office technology. The ability to participate in hybrid forms of work (and ‘work from home’) has increased patterns of decentralised living, moving away from larger cities towards peripheral suburban locations and smaller towns, usually with the aim of improving living conditions. This trend has been described as ‘semigration’, and towns in the Western Cape seem to be the prime locations. The aim of this study is to investigate the extent and characteristics of semigration to Hermanus, in the Western Cape of South Africa. The data for this study was collected from two companies (Lightstone and Property24). Sampled data from Lightstone was analysed through frequency counts to provide a trend analysis of semigration to Hermanus. Property24’s open-source data was analysed through frequencies, crosstabulations, and various spatial statistical techniques in ArcMap. Results indicate that Covid-19 slowed the pace of property purchases in Hermanus but did not necessarily increase this pace drastically in comparison to previous years. This offers only some anecdotal evidence of potential semigration but does not necessarily confirm it. Geographic shifts were however observed in locations where properties were purchased, while property prices increased in certain suburbs but decreased in others. These variations, together with changing characteristics of semigrants (i.e., their origin locations, wealth segments, and age groups) could suggest changing demographic patterns associated with the semigration phenomenon. Significant impacts on municipal policies and strategies were identified and suggestions made, along with recommendations for further research.
Strategies Steering Intensification Pathways of Farmers in Central Malawi
Authors: Timler Carl J. , Groot Jeroen C. J. , Snapp Sieglinde S. , Tittonell Pablo A. 
Published: June 2023

AbstractSmallholder farmers face many challenges to improve their livelihoods and food security. Intensification of agricultural production can help to achieve these goals. Yet farmers are highly heterogenous in their strategies towards intensification, potentially following unsustainable intensification pathways. Using Q Methodology, we ascertain different strategies regarding farm improvement and intensification of smallholder farmers in the Dedza and Ntcheu Extension Planning Areas in Central Malawi. These strategies were associated to coherent sequential choices as expressed in “managerial intensification pathways” (MIPs). Three main strategies emerged: Seed Saving Peasants, Aspirant Modern Farmers and Entrepreneurial Business(wo)men. These were subsequently linked to four MIPs. Seed Saving Peasants focus strongly on local seed systems and post-harvest protection of grains, but also allocate more labour to improving crop residue use and manure quality, thus pointing to a labour-oriented MIP. Aspirant Modern Farmers willingly adopt hybrid seeds and inorganic fertilizers but require more extension support; these farmers follow a technology-oriented MIP. Entrepreneurial Business(wo)men are early adopters of new technologies and benefit from improved access to market information and suppliers of new technologies and follow a sustainable technology-based or techno-ecological intensification pathway. This study shows that strongly contrasting perspectives on intensification exist among smallholders and it is expected that their preferred intensification choices will have diverging impacts on the sustainability of their farms. A diversity of extension, advice and incentive instruments will be needed to support farmer decision making towards sustainably intensified farms.
Morphology of Ascophyllum nodosum in relation to commercial harvesting in New Brunswick, Canada
Authors: Lauzon-Guay Jean-Sébastien , Feibel Alison I. , Morse Bryan L. , Ugarte Raúl A. 
Published: June 2023

AbstractIntertidal seaweed beds form three-dimensional structures providing habitat for a variety of species. As such, ecosystem-based management of seaweed harvesting must take into consideration the impact of the harvest not only on the biomass but also on the morphology of the seaweed. We compare the morphology and vertical distribution of biomass and shoots in Ascophyllum nodosum from three sites with a 20 + year history of commercial harvesting with three corresponding control sites in southern New Brunswick, Canada. We found no significant impact of harvest history on the vertical distribution of shoots or biomass within individual clumps. At two of the three harvested sites, large clumps had a wider circumference than those at the control sites, suggesting that long-term harvesting increases the growth of shoots throughout the clumps; presumably caused by an increase in light penetration through the harvested canopy. We also compare biomass of littorinids, the most abundant invertebrates found in A. nodosum beds at low tide and found no significant difference between control and harvested sites. We conclude that the harvest of A. nodosum according to the current regulations in New Brunswick, does not have long-term impact on the morphology of the algae or on the abundance of its main inhabitant.
SCL(EQ): SCL for First-Order Logic with Equality
Authors: Leidinger Hendrik , Weidenbach Christoph 
Published: June 2023

AbstractWe propose a new calculus SCL(EQ) for first-order logic with equality that only learns non-redundant clauses. Following the idea of CDCL (Conflict Driven Clause Learning) and SCL (Clause Learning from Simple Models) a ground literal model assumption is used to guide inferences that are then guaranteed to be non-redundant. Redundancy is defined with respect to a dynamically changing ordering derived from the ground literal model assumption. We prove SCL(EQ) sound and complete and provide examples where our calculus improves on superposition.
Digitalization platform for data-driven quality management in multi-stage manufacturing systems
Authors: Filz Marc-André , Bosse Jan Philipp , Herrmann Christoph 
Published: June 2023

AbstractDigital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply data analytics (e.g., for quality management or improvement purposes) to translate the data into a business value. However, isolated, rigid, and area-specific IT solutions often carry this out. Today’s complex manufacturing requires quality management approaches that constitute a holistic view of and understanding of process–product interactions along the process chain instead of focusing solely on single processes. A novel platform approach to support quality management in manufacturing systems is proposed in this paper to overcome this deficit. It integrates state-of-the-art concepts of IT with modeling approaches for planning and operation of quality management. A conceptual framework and the technical architecture for implementing a digitalization platform are presented in this regard. Moreover, the approach is validated and implemented within a web application based on a use case of data-driven quality management in electronics production.
Sensitivity estimation of indium oxide thin film for gamma sensing
Authors: Aparna C. , Shetty Pramoda Kumara , Mahesha M. G. , Yashodhara I. , Karunakara N. 
Published: June 2023

AbstractThis article aims to study the modification in the structural, optical and electrical properties of indium oxide thin film after gamma irradiation and estimation of sensitivity for gamma sensing applications. The thin film of indium oxide was deposited on a 450 °C preheated glass substrate using the spray pyrolysis technique. The deposited thin film of molar concentration 0.15 M and thickness of around 600 nm was irradiated with different gamma doses (100 Gy, 200 Gy, 300 Gy and 400 Gy). The optical properties of the irradiated film are studied using UV–Visible spectroscopy. Transmittance increased after irradiation up to 200 Gy and beyond that, it decreased. Indium oxide is an n-type semiconductor which exhibits both direct and indirect transitions. Both direct and indirect bandgap energy are calculated using Tauc’s plot. Extinction coefficient and refractive index variation with irradiation were also estimated. Photoluminescence study confirmed the gamma-induced defect formation and annihilation for an irradiation dose of 400 Gy and 200 Gy, respectively. Resistivity also decreased up to 200 Gy and beyond that, it increased. The sensitivity of the deposited film was estimated from the electrical measurements, and it lies between 10.7 and 53.4 mA/cm2/Gy.
Graphical abstract
Classical structural identifiability methodology applied to low-dimensional dynamic systems in receptor theory
Authors: White Carla , Rottschäfer Vivi , Bridge Lloyd 
Published: June 2023

AbstractMathematical modelling has become a key tool in pharmacological analysis, towards understanding dynamics of cell signalling and quantifying ligand-receptor interactions. Ordinary differential equation (ODE) models in receptor theory may be used to parameterise such interactions using timecourse data, but attention needs to be paid to the theoretical identifiability of the parameters of interest. Identifiability analysis is an often overlooked step in many bio-modelling works. In this paper we introduce structural identifiability analysis (SIA) to the field of receptor theory by applying three classical SIA methods (transfer function, Taylor Series and similarity transformation) to ligand-receptor binding models of biological importance (single ligand and Motulsky-Mahan competition binding at monomers, and a recently presented model of a single ligand binding at receptor dimers). New results are obtained which indicate the identifiable parameters for a single timecourse for Motulsky-Mahan binding and dimerised receptor binding. Importantly, we further consider combinations of experiments which may be performed to overcome issues of non-identifiability, to ensure the practical applicability of the work. The three SIA methods are demonstrated through a tutorial-style approach, using detailed calculations, which show the methods to be tractable for the low-dimensional ODE models.
Improving the speed and quality of cancer segmentation using lower resolution pathology images
Authors: Li Jieyi , Osseyran Anwar , Hekster Ruben , Rudinac Stevan , Codreanu Valeriu , Podareanu Damian 
Published: June 2023

AbstractIn this paper, we propose a pipeline to investigate the performance of semantic segmentation model that employs an encoder-decoder architecture with atrous separable convolution and spatial pyramid pooling, trained on multi-resolution whole slide breast pathological images with different patch sizes. Our segmentation model obtains the best performance on zoom level 2 (10$$\times $$
×
magnification) with AUC score 0.974 in terms of slide-level classification. This outperforms both the performance of the pathologist and other semantic segmentation models on the Camelyon16 dataset. By offering a larger field of view and reducing noise and detail, training a semantic segmentation model on the properly selected lower resolution pathology images can further improve the precision of pixel-wise cancer region segmentation. By contrast, the corresponding inference time is 14 times shorter than the inference time trained on the highest resolution patches, and it is also shorter than the time required by a pathologist with time constraints. Moreover, we prove that the model trained on lower resolution patches can still generate refined external polygons of cancer region on the highest resolution image. This study provides new insights into efficient gigapixel histopathology analysis that will make clinical adoption more likely.