bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reframing history and listening to students through Learning Labs professional development
Authors: Monte-Sano Chauncey , Jennings Amanda , Schleppegrell Mary J. 
Published: September 2023

PurposeThis practice-oriented article aims to describe the origins of the Learning Labs PD model and theory behind it, explains what it involves in social studies and illustrates this model by sharing examples from one PD session focused on facilitating inquiries into justice via Hammurabi's Code and Black Founders with seventh and eighth graders.Design/methodology/approachAs the authors developed Learning Labs for Social Studies (LLSS), they used a Design-Based Research approach to study and iterate such that the model is supportive of teachers' and students' learning (e.g. Jennings et al., 2022). In this practice-oriented article, the authors offer a conceptual orientation to the model and some of the take-aways relevant to the demands of offering professional development in polarizing times by sharing examples from one PD day.FindingsLLSS PD in combination with curriculum that structures critical inquiry has supported the authors and their teacher-partners by fostering a community of practitioners who work as a collective to reframe content, support one another while teaching in new ways and learn from students. Specifically, the authors have observed teachers (1) approach social studies topics with greater criticality and center Black identity and history as more than oppression, (2) develop instructional practices that create space for students to make sense of the past in the context of their lives in the present and (3) listen to and center students' thinking and knowledge.Originality/valueThis article presents and illustrates Learning Labs for Social Studies for the first time, offering a professional learning model that supports teachers in polarizing times as they work collaboratively to translate theory into practice and to problem-solve challenges that emerge within their school and classroom contexts.
Investigating the performance evaluation of Cu-Cr tool fabricated by powder metallurgy during electrical discharge machining of EN9 steel
Authors: Shard Abhinav , Garg Mohinder Pal , Gupta Vishal 
Published: September 2023

Purpose
The purpose of this study is to explore the machining characteristics of electrical discharge machining (EDM) when a tool is fabricated using powder metallurgy. Because pure Cu tools obtained using conventional machining pose problems of high tool wear rate, tool oxidation causes loss of characteristics in tool shape.

Design/methodology/approach
The research investigation carried out experiments planned through Taguchi’s robust design of experiments and used analysis of variance (ANOVA) to carry out statistical analysis.

Findings
It has been found that copper and chromium electrodes give less metal removal rate as compared to the pure Cu tool. Analytical outcomes of ANOVA demonstrated that MRR is notably affected by the variable’s polarity, peak current, pulse on time and electrode type in the machining of EN9 steel with EDM, whereas the variables pulse on time, gap voltage and electrode type have a significant influence on EWR. Furthermore, the process also showed that the use of powder metallurgy tool effectively reduces the value of SR of the machined surface as well as the tool wear rate. The investigation exhibited the possibility of the use of powder metallurgy electrodes to upgrade the machining efficiency of EDM process.

Research limitations/implications
There is no major limitation or implication of this study. However, the composition of the powders used in powder metallurgy for the fabrication of tools needs to be precisely controlled with careful control of process variables during subsequent fabrication of electrodes.

Originality/value
To the best of the authors’ knowledge, this is the first study that investigates the effectiveness of copper and chromium electrodes/tools fabricated by means of powder metallurgy in EDM of EN9 steel. The effectiveness of the tool is assessed in terms of productivity, as well as accuracy measures of MRR and surface roughness of the components in EDM machining.
Revolutionizing indoor emergency evacuation prediction with machine learning: A Hand‐searching technique and content analysis on Random Forest algorithm
Authors: Syed Abdul Rahman Syed Ahmad Fadhli , Abdul Maulud Khairul Nizam , Mazlan Muhammad Fadhli Mustaqim 
Published: September 2023

AbstractMachine learning and emergency evacuation prediction share a meaningful association in the context of the Industrial Revolution 4.0 era, given that machine learning can potentially enhance emergency evacuation prediction processes. Machine learning has the potential to revolutionise emergency evacuation prediction by providing a data‐driven approach that aids decision‐making and response time in emergencies. The complexity of emergency situations can lead to tragic accidents, as individual behaviour heavily influences evacuation time. While some researchers have explored emergency evacuation, existing computer evacuation models lack detailed analysis. To address this gap, this study focuses on reviewing the Random Forest algorithm, an advanced machine learning algorithm based on Decision Trees, in the application of forecasting emergency evacuation time. Through a qualitative research approach using the innovative Hand‐searching technique, we conducted a systematic review employing Content Analysis Theory. Multiple sources were examined, including Google Scholar, Science Direct, Scopus, and Universiti Kebangsaan Malaysia e‐Journal System. The study's findings shed light on the performance, prediction factors, advantages, and limitations of Random Forest in identifying impacts during an emergency evacuation. These insights hold significant implications for emergency responders, building designers, and policymakers.
Impact of rural settings on the interpersonal and personal processes associated with young people supporting a peer who experienced a traumatic event
Authors: Dolan Erin , Cosgrave Catherine , Killackey Eóin , Allott Kelly 
Published: September 2023

AbstractIntroductionThere is limited research into informal support processes amongst young people supporting a peer through a traumatic event and how this process occurs specifically within a rural setting.ObjectiveThe aim of this research was to understand how the contextual environment impacts on the personal and interpersonal processes of rural‐based young people supporting a peer who experienced a traumatic event.DesignQualitative interviews were conducted with 22 young people (aged 14–19), who resided in Gippsland, Victoria, Australia. A substantive theory was developed using Charmaz's (1) Constructivist grounded theory methodology.FindingsYoung people who shared responsibility for supporting their peer went back to life as normal and felt connected to their community, whereas young people who maintained sole responsibility, experienced mental health problems, disconnected from their community and felt like an outsider. The contextual environmental factors (i.e., service accessibility, limited transport, and internet blackspots) impacted both negatively and positively on young people's ability to provide support as well as influenced whether they felt safe share responsibility.DiscussionThis theory implies that providing pathways to reconnecting with place and community, are essential in guiding young people back to their foundations of support.ConclusionIntegrating these insights can create new service models in rural areas, whilst also creating opportunities to form healthy foundations of support.
Defence against the intergenerational cost of reproduction in males: oxidative shielding of the germline
Authors: Birch Graham , Meniri Magali , Cant Michael A. , Blount Jonathan D. 
Published: September 2023

ABSTRACTReproduction is expected to carry an oxidative cost, yet in many species breeders appear to sustain lower levels of oxidative damage compared to non‐breeders. This paradox may be explained by considering the intergenerational costs of reproduction. Specifically, a reduction in oxidative damage upon transitioning to a reproductive state may represent a pre‐emptive shielding strategy to protect the next generation from intergenerational oxidative damage (IOD) – known as the oxidative shielding hypothesis. Males may be particularly likely to transmit IOD, because sperm are highly susceptible to oxidative damage. Yet, the possibility of male‐mediated IOD remains largely uninvestigated. Here, we present a conceptual and methodological framework to assess intergenerational costs of reproduction and oxidative shielding of the germline in males. We discuss variance in reproductive costs and expected payoffs of oxidative shielding according to species' life histories, and the expected impact on offspring fitness. Oxidative shielding presents an opportunity to incorporate intergenerational effects into the advancing field of life‐history evolution.
The fossil record of freshwater Gastropoda – a global review
Authors: Neubauer Thomas A. 
Published: September 2023

ABSTRACTGastropoda are an exceptionally successful group with a rich and diverse fossil record. They have conquered land and freshwater habitats multiple times independently and have dispersed across the entire globe. Since they are important constituents of fossil assemblages, they are often used for palaeoecological reconstruction, biostratigraphic correlations, and as model groups to study morphological and taxonomic evolution. While marine faunas and their evolution have been a common subject of study, the freshwater component of the fossil record has attracted much less attention, and a global overview is lacking. Here, I review the fossil record of freshwater gastropods on a global scale, ranging from their origins in the late Palaeozoic to the Pleistocene. As compiled here, the global fossil record of freshwater Gastropoda includes 5182 species in 490 genera, 44 families, and 12 superfamilies over a total of ~340 million years. Following a slow and poorly known start in the late Palaeozoic, diversity slowly increased during the Mesozoic. Diversity culminated in an all‐time high in the Neogene, relating to diversification in numerous long‐lived (ancient) lakes in Europe. I summarise well‐documented and hypothesised freshwater colonisation events and compare the patterns found in freshwater gastropods to those in land snails. Furthermore, I discuss potential preservation and sampling biases, as well as the main drivers underlying species diversification in fresh water on a larger scale. In that context, I particularly highlight the importance of long‐lived lakes as islands and archives of evolution and expand a well‐known concept in ecology and evolution to a broader spectrum: scale‐independent ecological opportunity.
Screening, brief intervention, and referral to treatment in oral health settings: A scoping review
Authors: Zerden Lisa D.S. , Guan Ting , Burgess‐Flowers Jamie L. 
Published: September 2023

AbstractObjectivesScreening, Brief Intervention, and Referral to Treatment (SBIRT) is an effective evidence‐based model to provide early intervention and treatment to people with substance use disorders across diverse health settings. Yet, how SBIRT has been implemented within oral health settings and its associated outcomes has not been explored. This scoping review assessed how SBIRT has been implemented in oral health settings in the U.S. and discusses the implications for SBIRT integration in dentistry and oral health research, education and practice.MethodsFive scholarly databases were searched using a scoping review methodology for relevant literature, yielding seven articles that met inclusion criteria.ResultsFindings from seven U.S. studies show that SBIRT has been implemented into oral health settings in three distinct ways: through education/training, as an intervention and in one national survey. Findings of this scoping review support the inclusion of SBIRT education for oral health professionals in both practice and clinical environments and offer examples of existing models for future implementation and study.ConclusionsThe scant literature on SBIRT intervention effects in dental settings—both within and outside of the U.S.—underscores the need for more empirical work to better understand how SBIRT impacts dental providers' knowledge, practices, referrals and ultimately, patient outcomes.
Quambalaria eucalypti found on Eucalyptus in Indonesia
Authors: Tarigan Marthin , Wingfield Michael J. , Marpaung Yosep M. A. N. , Durán Alvaro , Pham Nam Q. 
Published: September 2023

AbstractThe Eucalyptus plantation industry in Indonesia has expanded rapidly during the last few decades. During routine nursery disease surveys, symptoms of a leaf and shoot blight disease were detected on Eucalyptus mother plants. Isolates were obtained from symptomatic tissues and identified using DNA sequence analyses. Phylogenetic analyses showed that the isolates were those of Quambalaria eucalypti. Pathogenicity tests were conducted with isolates of Q. eucalypti on clones of E. pellita and E. grandis × E. pellita hybrids. These resulted in symptoms similar to those observed on naturally infected plants. Eucalyptus genotypes tested showed variation in their susceptibility, highlighting the potential to select and breed for resistance and thus to manage future outbreaks of the disease. This is the first report of the pathogen in Indonesia as well as in Southeast Asia.
Detection of epileptic seizure events using pre‐trained convolutional neural network, VGGNet and ResNet
Authors: Thara D. K. , Premasudha B. G. , Krivic Senka 
Published: September 2023

AbstractEpilepsy is a life threatening neurological disorder. The person with epilepsy suffers from recurrent seizures. Sudden emission of electrical signal in the nerves of the human brain is called seizure event. The most widely used method for diagnosing epilepsy is analysing electroencephalogram signals in short called as EEG signals collected from the scalp of the patient. The EEG data are normally used for seizure detection. If the recurrent seizure signals are detected in the input EEG dataset, then it can be considered as the presence of epilepsy disorder. Manual inspection of seizure signals in the EEG data is a laborious process. An automated system is very crucial for the neurologists to identify seizures. In this paper, an automated seizure detection method is presented using deep learning method, pre‐trained convolutional neural network architecture. Freely available EEG dataset from Temple University Hospital database is used for the study. The pre‐trained CNN networks, VGGNet and ResNet are used for classifying the seizure activities from non‐seizure activities. CNNs are extremely good in learning the features of the input data. A very large dataset from TUH is provided as input to the multiple layers of CNN model. The same data is fed to VGGNet and ResNet models. The results of CNN, VGGNet and ResNet models are assessed using performance metrics accuracy, AUC, precision and recall. All the three models gave extremely good performance compared to state‐of‐the‐art works in the literature. In comparison VGGNet performed with little higher results giving 97% accuracy, 96% AUC, 97% precision and 79% recall.
Environmental Controls and Geomorphic Importance of a High‐Magnitude/Low‐Frequency Snow Avalanche Event in Bødalen, Nordfjord, Western Norway
Authors: Laute Katja , Beylich Achim A. 
Published: September 2023

AbstractSnow avalanches are common phenomena in western Norway. During the winter–spring period 2011/2012 an extreme snow avalanche occurred within the upper valley part of a steep and glacier‐connected mountain catchment (Bødalen) in western Norway. Compared with annually occurring regular snow avalanches, so‐called ‘extreme snow avalanche events’ are more difficult to monitor and to study as they are characterized by recurrence intervals often longer than a decade. Morphometric and meteorological controls of a high‐magnitude/low‐frequency snow avalanche event, its geomorphic effects as well as its related relative role in mass transport compared with the annually monitored snow avalanche activity within the Bødalen catchment were explored. Maximum values of snow height, velocity and pressure were predicted by applying a numerical run‐out simulation. The formation of this snow avalanche resulted from the combination of extraordinary meteorological conditions and a favourable morphometric setting of the source area. The snow avalanche path covered a total distance of 2900 m, including a stretch of 850 m where the snow avalanche slid downwards on top of the Bødalsbreen outlet glacier. Within the run‐out zone, directly located in front of the Bødalen outlet glacier, 2032 stones with b‐axes >5 cm were remobilized which corresponds to a total transferred debris mass of 460 t. Compared with annually occurring snow avalanches within the Bødalen drainage basin the relative importance of extreme‐sized snow avalanches is comparably low with respect to direct erosion and sediment transfer along rockwalls at higher slope areas. However, extreme‐sized snow avalanches play a significant role with respect to the remobilization of debris/sediment at lower slope areas as well as to down‐valley transport of sediment, including recognizable transfers of debris into the main stream channels of the drainage basin system whenever extreme snow avalanches reach the main channel.
Determination of low‐temperature stress during the vegetative stage as a tool to predict plant yield in rice genotypes with contrasting tolerance levels
Authors: Michelini María Carolina , Gazquez Ayelén , Checovich Mariana Leonela , Tamayo Andy Salazar , Maiale Santiago Javier , Menéndez Ana Bernardina , Rodríguez Andrés Alberto 
Published: September 2023

AbstractIn this study, the first aim was to develop a rapid and non‐destructive method for analysing rice genotypes' tolerance to low temperatures (LT) during the seedling stage. Using a growth parameter and a physiological parameter, a discriminant formula was developed to differentiate between tolerant and sensitive genotypes based on their LT tolerance score. The study identified several benefits of the discriminant formula, including its low classification error rate, scalability, and ability to be used in controlled and reduced environments. Additionally, a second study was conducted, which found a strong correlation between the LT tolerance score during the seedling stage and plant yield at the ripening stage in plants grown under field LT during the vegetative stage. Panicle weight was the main mediator of the effect of the LT tolerance score on plant yield, but the number of panicles per plant also played a role. Overall, the results suggest that the LT tolerance score can serve as an indirect selection factor for plants for both LT tolerance and plant yield. This is especially relevant for rice‐growing regions with temperate climates and LT at the beginning of the cultivation season.
Interplay of diet and sympatry in the morphological evolution of noctilionoid bats
Authors: López‐Aguirre Camilo , Ratcliffe John M. , Silcox Mary T. 
Published: September 2023

AbstractAimThe remarkable ecomorphological diversity of the bat superfamily Noctilionoidea is the result of a diet‐mediated adaptive radiation. Stemming from a putatively insectivorous ancestor, noctilionoid bats diversified to adapt to the widest range of dietary ecologies among mammals. The high concentration of noctilionoid diversity in the Neotropics raises the question as to whether competitive ecological interactions influenced their diversification. However, patterns of morphological diversification along gradients of coexistence in Noctilionoidea are understudied. Here, we assessed the effect of dietary adaptations on patterns of morphological divergence associated with coexistence in noctilionoid bats.LocationThe Americas and the Caribbean.TaxonBat superfamily Noctilionoidea.MethodsUsing a set of five dental morphological traits and a sample of 108 species, we quantified morphological distances between noctilionoid species pairs to reveal patterns of morphological divergence along gradients of range overlap and dietary similarity. We incorporate phylogenetic information to control for the effects of species' relatedness on morphological distances.ResultsOverall, we found a significant association between morphological divergence, coexistence and diet. Decomposing the correlation between morphological divergence and sympatry across dietary groups, our results revealed distinctive patterns consistent with both character convergence and divergence. Specifically, we found evidence of character convergence in herbivorous species and character divergence in omnivorous species.Main ConclusionsOur results indicate that the morphological diversification of noctilionoid bats followed parallel evolutionary trajectories of directional (both divergent and stabilising) and nonselective evolution linked to dietary adaptations.
Therapeutic effects of medicinal plants and their constituents on lung cancer, in vitro, in vivo and clinical evidence
Authors: Memarzia Arghavan , Saadat Saeideh , Asgharzadeh Fereshteh , Behrouz Sepide , Folkerts Gert , Boskabady Mohammad Hossein 
Published: September 2023

AbstractThe most common type of cancer in the world is lung cancer. Traditional treatments have an important role in cancer therapy. In the present review, the most recent findings on the effects of medicinal plants and their constituents or natural products (NP) in treating lung cancer are discussed. Empirical studies until the end of March 2022 were searched using the appropriate keywords through the databases PubMed, Science Direct and Scopus. The extracts and essential oils tested were all shown to effect lung cancer by several mechanisms including decreased tumour weight and volume, cell viability and modulation of cytokine. Some plant constituents increased expression of apoptotic proteins, the proportion of cells in the G2/M phase and subG0/G1 phase, and Cyt c levels. Also, natural products (NP) activate apoptotic pathways in lung cancer cell including p‐JNK, Akt/mTOR, PI3/ AKT\ and Bax, Bcl2, but suppressed AXL phosphorylation. Plant‐derived substances altered the cell morphology, reduced cell migration and metastasis, oxidative marker production, p‐eIF2α and GRP78, IgG, IgM levels and reduced leukocyte counts, LDH, GGT, 5′NT and carcinoembryonic antigen (CEA). Therefore, medicinal plant extracts and their constituents could have promising therapeutic value for lung cancer, especially if used in combination with ordinary anti‐cancer drugs.