bluuebunny/crossref_metadata_2025_split huggingface dataset:
Le portfolio d’écriture du capitaine : un outil qui promeut la rédaction de textes authentiques chez les jeunes scripteurs
Authors: Tantardini Maria 
Published: January 2022

L’amélioration des compétences d’écriture dans une langue seconde (L2) est un processus complexe et laborieux. En enseignement des langues basé sur les tâches (ELBT), nous nous tournons davantage vers les tâches d’écriture qui sont, très souvent, ponctuelles. Pour aider les jeunes apprenants à développer leurs compétences scripturales en s’appuyant sur des tâches de façon régulière et continue, nous proposons le portfolio d’écriture. Cet outil, basé sur le modèle de Mak et Wong (2018), propose cinq phases : la préparation, la collecte, la réflexion, la sélection et l’évaluation. Avec notre portfolio d’écriture du capitaine, les jeunes scripteurs de niveau A2-B1 du Cadre européen commun de références pour les langues suivront les aventures du capitaine en accomplissant une panoplie de tâches tout en ayant du plaisir. L’élève aura à sa disposition une carte au trésor qui propose un parcours à suivre, ainsi que cinq outils du capitaine qui l’aident dans les phases d’écriture.
Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution?
Authors: Botta-Dukát Zoltán 
Published: January 2022

Background
Community assembly by trait selection (CATS) allows for the detection of environmental filtering and estimation of the relative role of local and regional (meta-community-level) effects on community composition from trait and abundance data without using environmental data. It has been shown that Poisson regression of abundances against trait data results in the same parameter estimates. Abundance data do not necessarily follow a Poisson distribution, and in these cases, other generalized linear models should be fitted to obtain unbiased parameter estimates.

Aims
This paper discusses how the original algorithm for calculating the relative role of local and regional effects has to be modified if Poisson model is not appropriate.

Results
It can be shown that the use of the logarithm of regional relative abundances as an offset is appropriate only if a log-link function is applied. Otherwise, the link function should be applied to the product of local total abundance and regional relative abundances. Since this product may be outside the domain of the link function, the use of log-link is recommended, even if it is not the canonical link. An algorithm is also suggested for calculating the offset when data are zero-inflated. The relative role of local and regional effects is measured by Kullback-Leibler R2. The formula for this measure presented by Shipley (2014) is valid only if the abundances follow a Poisson distribution. Otherwise, slightly different formulas have to be applied. Beyond theoretical considerations, the proposed refinements are illustrated by numerical examples. CATS regression could be a useful tool for community ecologists, but it has to be slightly modified when abundance data do not follow a Poisson distribution. This paper gives detailed instructions on the necessary refinement.
Design and Validation of an Instrument to Measure Educational Innovations in Primary and Pre-Primary Schools
Authors: Turrado-Sevilla María Ángeles , Cantón-Mayo Isabel 
Published: January 2022

Abstract
The creation and implementation of innovation proposals in education can provide a new key towards sustainable development. We are aware that schools perform very different innovations but often, with very low levels of impact and dissemination in their community. There are not many studies that describe, put a value on, categorize or analyse the innovations. This study sought to gain insight into the ICT innovations produced in Spanish primary and pre-primary schools. A quantitative approach based on a questionnaire was used to collect the data, named MANEDUIN, completed by 86 teachers selected by stratified random sampling (public - private, rural - urban). The reliability and the construct-related validity was evaluated from the questionnaire and the validity of content decided by means of experts’ judgment. Our findings point to a good consistency in the questionnaire (Cronbach’s Alpha: 0.848). The descriptive statistics and the analysis were made by factorial categories. The results of the factorial analysis confirm the dimensions proposed in the design of the questionnaire in the categories of the factors included in the innovation (social cohesion, interaction with the community, technologies, and success), the innovative schools and their characteristics, the topic and the type of innovation (on resources, direction, materials and time), as well as the obstacles to the innovation. This paper concludes that the questionnaire MANEDUIN is a valid and reliable tool to measure the management of schools’ innovations.
Analysis of Digital Self-Presentation Practices and Profiles of Spanish Adolescents on Instagram and TikTok
Authors: Hernández-Serrano María José , Jones Barbara , Renés-Arellano Paula , Ortuño Rosalynn A. Campos 
Published: January 2022

Abstract
This study analyses self-presentation practices and profiles among Spanish teenagers on Instagram and TikTok. Both of these online spaces prioritise and promote visual publications, are structured to allow feedback on self-presentation, and offer the user filters both to control self-image and to target specific audiences. Three research questions guided the methodological process for the twofold analysis of self-presentation practices on social networks: an exploratory factor analysis to identify latent factors among these practices; and a descriptive analysis of the profiles identified by gender and age. Results indicate that adolescents’ self-presentation practices were related to three different factors: social validation; authenticity; and image control. One of the most outstanding results is that self-presentation practices could be less guided by social feedback, since the number of followers or likes was irrelevant for most adolescents, and that adolescents increasingly tend to be guided by innovative predispositions of truthfulness. In turn, conclusions suggest that teens need to be equipped with suitable self-representation practices for safe and sustainable identity narratives on social networks, since the global COVID-19 pandemic has exponentially increased both the usage and the time spent on social networking sites, enlarging the availability of spaces for adolescents to express themselves and build their identities through different self-representation practices.
UNESCO Strategy and Digital Policies for Teacher Training: The Deconstruction of Innovation in Spain
Authors: Espejo Villar L. Belén , Lázaro Herrero Luján , Álvarez-López Gabriel 
Published: January 2022

Abstract
This paper examines initial teacher training policies in the context of youth digitalisation. Based on international ICT competency frameworks for teachers (UNESCO, 2008, 2019) and information literacy, MIL (UNESCO, 2011), we analyse how Spanish (public and private) universities represent digital innovation, and the identity practices of young people, linked to hyperconnectivity. Focusing on initial training received by future secondary teachers, the sample was selected according to the criteria of non-presential learning (online, distance, blended) applied in the teacher training process. Results confirm ongoing deficiencies in critical teacher digitalisation management, highlighting certain asymmetries between the categories constructed. Data reveals the prevalence of intervention more geared towards formal knowledge than towards decoding digital grammar (which is how digitalisation is used in education). The paper concludes by advocating convergence strategies as a circular mechanism that must underpin all teacher training policies in the age of hyperconnectivity.
Ruthenium, rhodium, and iridium complexes featuring coumarin hydrazone derivatives: Synthesis, characterization, and preliminary investigation of their anticancer and antibacterial activity
Authors: Dkhar Lincoln , Verma Akalesh Kumar , Banothu Venkanna , Kaminsky Werner , Kollipara Mohan Rao 
Published: January 2022

Coumarin hydrazone derivatives (L1, L2, L3, and L4) have been prepared by Knoevenagel condensation. Half‐sandwich ruthenium, rhodium, and iridium complexes containing these coumarin hydrazone derivatives (1–12) have been synthesized. The deprotonation of hydrazinic proton from the ligand leads to the formation of anionic species, thereby forming neutral N ∩ N chelation complexes. These complexes have been confirmed by spectroscopic technique and single‐crystal X‐ray diffraction studies. Spectroscopic analysis of the ligands and complexes shows that the data are consistent with the formulated data. The stability studies of some of the complexes (1,5, and6) were performed by the1H‐NMR technique using deuterated DMSO‐d6solvent. They are found to be stable in solution as well as in the air and are nonhygroscopic. In vitro antibacterial activity against gram‐positiveStaphylococcus aureusand gram‐negativeEscherichia coli,Klebsiella pneumoniaestrains have been tested. Also, their cytotoxicity study was evaluated against Dalton's ascites lymphoma (DL), Ehrlich ascites carcinoma (EAC), and normal cell lines (peripheral blood mononuclear cells [PBMC]). In both the studies, complexes (5and6) are found to be the most active compared to the other complexes.
Density functional theory in classical explicit solvents: Mean‐field QM/MM method for simulating solid–liquid interfaces
Authors: Jang Taehwan , Paik Dooam , Shin Seung‐Jae , Kim Hyungjun 
Published: January 2022

AbstractSolid–liquid interfaces are ubiquitous in scientifically and technologically important systems, and they govern complex chemophysical processes such as those in electrochemistry and heterogeneous catalysis. Atomic‐level elucidation of interfacial structures has been extensively pursued; however, related research is still limited. A major obstacle lies in the intrinsic character of interfaces: they are located between two bulk phases that make the application of spectroscopic or surface‐science techniques be difficult. Although this suggests the possibility of employing computational approaches to explore interfacial structures, modern molecular simulation methods suffer from an inability to simulate large interfacial systems in a sufficient time scale at the all‐atom resolution. To develop a method capable of simulating solid–liquid interfaces, we have been developing a mean‐field quantum mechanics/molecular mechanics (QM/MM) method. This Review briefly summarizes the theoretical background of mean‐field QM/MM, as well as recent efforts to advance it. Furthermore, we summarize several studies performed based on this method.
Machine learning to predict waitlist dropout among liver transplant candidates with hepatocellular carcinoma
Authors: Kwong Allison , Hameed Bilal , Syed Shareef , Ho Ryan , Mard Hossein , Arshad Sahar , Ho Isaac , Suleman Tashfeen , Yao Francis , Mehta Neil 
Published: January 2022

AbstractBackgroundAccurate prediction of outcome among liver transplant candidates with hepatocellular carcinoma (HCC) remains challenging. We developed a prediction model for waitlist dropout among liver transplant candidates with HCC.MethodsThe study included 18,920 adult liver transplant candidates in the United States listed with a diagnosis of HCC, with data provided by the Organ Procurement and Transplantation Network. The primary outcomes were 3‐, 6‐, and 12‐month waitlist dropout, defined as removal from the liver transplant waitlist due to death or clinical deterioration.ResultsUsing 1,181 unique variables, the random forest model and Spearman's correlation analyses converged on 12 predictive features involving 5 variables, including AFP (maximum and average), largest tumor size (minimum, average, and most recent), bilirubin (minimum and average), INR (minimum and average), and ascites (maximum, average, and most recent). The final Cox proportional hazards model had a concordance statistic of 0.74 in the validation set. An online calculator was created for clinical use and can be found at: http://hcclivercalc.cloudmedxhealth.com/.ConclusionIn summary, a simple, interpretable 5‐variable model predicted 3‐, 6‐, and 12‐month waitlist dropout among patients with HCC. This prediction can be used to appropriately prioritize patients with HCC and their imminent need for transplant.
Trends in the incidence of head and neck cancer by subsite between 1993 and 2015 in Japan
Authors: Kawakita Daisuke , Oze Isao , Iwasaki Shinichi , Matsuda Tomohiro , Matsuo Keitaro , Ito Hidemi 
Published: January 2022

AbstractBackgroundTobacco use and alcohol consumption are still important risk factors for head and neck cancer (HNC) in developing countries, even though decreasing in tobacco prevalence. Recently, an increased incidence of oropharyngeal cancer due to human papilloma virus (HPV) infection has attracted attention in advanced countries, including the United States and Europe. However, few studies have evaluated trends in the incidence of HNC by subsite in Japan.MethodsAccordingly, we evaluated these trends in Japan using data from population‐based cancer registries. We compiled population‐based incidence data from the Monitoring of Cancer Incidence in Japan Project, based on data from 19 population‐based cancer registries. Number of incident cases and age‐standardized incidence rates of HNC were estimated by subsite, namely lip, oral cavity, salivary glands, nasopharynx, oropharynx, hypopharynx, larynx, nasal and paranasal cavity, middle ear and NOS. Trends in agestandardized incidence rates were characterized using the Joinpoint analysis.ResultsAmong both sexes, oral cavity cancer, salivary gland cancer, and oropharyngeal cancer showed an upward trend (oral cavity: annual percent change (APC) 1.2% for men and APC 1.9% for women; salivary gland: APC 2.2% for men and APC 3.1% for women; oropharynx: APC 5.0% for men and APC 7.6% for women). Additionally, hypopharyngeal cancer showed an upward trend for men (APC 4.1%), and nasopharyngeal cancer and laryngeal cancer showed a downward trend for men (nasopharynx: APC −2.7%; larynx: −1.1%).ConclusionsThese findings will assist in focusing on the individual prevention of HNC.
Charge Storage Behaviour of α‐MoO3 in Aqueous Electrolytes – Effect of Charge Density of Electrolyte Cations
Authors: Elkholy Ayman E. , Duignan Timothy T. , Hussain Tanveer , Knibbe Ruth , Zhao Xiu Song 
Published: January 2022

AbstractIn this paper, we show that the electrochemical performance of α‐MoO3 electrode is significantly dependent on the charge density of three studied aqueous electrolyte cations, i. e. Na+, Mg2+ and Al3+. The charge storage capacity of the α‐MoO3 electrode increases with increasing cation charge density. On the other hand, the initial coulombic efficiency decreases, and the charge transport kinetics are slowed with increasing charge density. This study provides an insightful understanding of the relationship between the charge density of metal ions and their electrochemical behaviour towards α‐MoO3 electrode in aqueous solutions. It also highlights the importance of the appropriate selection of aqueous electrolytes for enhancing electrochemical performance.
Electronic Circular Dichroism‐Circularly Polarized Raman (eCP‐Raman): A New Form of Chiral Raman Spectroscopy
Authors: Li Guojie , Alshalalfeh Mutasem , Kapitán Josef , Bouř Petr , Xu Yunjie 
Published: January 2022

AbstractThis Concept article summarizes recent work on the development of a new form of chiral Raman spectroscopy,eCP‐Raman, which combines two spectroscopies: electronic circular dichroism (ECD) and circularly polarized Raman (CP‐Raman). First, some puzzling observations while carrying out Raman optical activity (ROA) measurements of several transition metal complexes under resonance are described, as well as the search for the mechanisms responsible. Then an equation for quantifying theeCP‐Raman contribution is presented, followed by several examples of howeCP‐Raman influences theIR−ILspectra of achiral and chiral solvent molecules and of a number of chiral solutes under resonance. The conditions to extract resonance ROA, when theeCP‐Raman contribution is minimized, are also discussed. Finally, we comment on the potential applications ofeCP‐Raman.
A Tissue Perfusion Harvest Model for Optimal Multisystem Comparisons of Pathobiology
Authors: Kohut Lauryn , Ross Mark A. , Loughran Patricia A. 
Published: January 2022

AbstractGravity flow whole‐body perfusion maintains effective and reproducible preservation of tissue architecture critical to investigate pathobiology of multiple organs from the same specimen. The purpose of the protocols described within this article is to help the researcher optimize tissue harvest for multisystem pathobiology comparison. The protocols presented here describe tissue harvest for processing and cryopreservation to generate optimal samples for microscopy and parallel biochemical and molecular biology analysis. First, this paper outlines a protocol for tissue perfusion and organ harvest that allows the researcher multiple analysis options from the same research subject simultaneously. Second, this paper outlines a model to optimize ex‐vivo tissue fixation for precious human sample preparation. Finally, this paper outlines a methodology for freezing tissue samples to optimize their capacity for biochemical and immunohistochemical analysis. Benefits and alternative approaches to retain cellular morphology in tissue harvest and processing are discussed. Also described within each section are common technical issues to assist problem‐solving and troubleshooting. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Whole body in vivo tissue perfusion by gravity flow: preparation and surgical proceduresAlternate Protocol: Human ex vivo tissue fixationBasic Protocol 2: Freezing of tissue samples
Novel K best sphere decoders with higher order modulation for internet of things
Authors: Mishra Priyanka , Thakur Prabhat , Singh G. 
Published: January 2022

SummaryFuture generation communication devices, particularly the Internet of Things (IoTs) demand for low bit error rate (BER) and higher spectral efficiencies. In this context, a low complexity detection algorithm plays a vital role in determining the performance of receivers. In this paper, we have evaluated the performance of low complexity sphere decoders using
best algorithm by modifying the conventional sphere decoders into new
and
sphere decoders. The proposed algorithm enables the sphere decoders to use smaller values of
for better performance. Numerical simulation is performed using MATLAB to support the validity of the proposed algorithm in terms of BER and spectral efficiency at higher order modulation techniques such as 1024 quadrature amplitude modulation (QAM) and offset quadrature amplitude modulation (OQAM). Further, we have also analyzed the computational complexity of the proposed algorithm.
A novel camera trapping method for individually identifying pumas by facial features
Authors: Alexander Peter D. , Craighead Derek J. 
Published: January 2022

AbstractCamera traps (CTs), used in conjunction with capture–mark–recapture analyses (CMR; photo‐CMR), are a valuable tool for estimating abundances of rare and elusive wildlife. However, a critical requirement of photo‐CMR is that individuals are identifiable in CT images (photo‐ID). Thus, photo‐CMR is generally limited to species with conspicuous pelage patterns (e.g., stripes or spots) using lateral‐view images from CTs stationed along travel paths. Pumas (Puma concolor) are an elusive species for which CTs are highly effective at collecting image data, but their suitability to photo‐ID is controversial due to their lack of pelage markings. For a wide range of taxa, facial features are useful for photo‐ID, but this method has generally been limited to images collected with traditional handheld cameras. Here, we evaluate the feasibility of using puma facial features for photo‐ID in a CT framework. We consider two issues: (1) the ability to capture puma facial images using CTs, and (2) whether facial images improve human ability to photo‐ID pumas. We tested a novel CT accessory that used light and sound to attract the attention of pumas, thereby collecting face images for use in photo‐ID. Face captures rates increased at CTs that included the accessory (n = 208, χ2 = 43.23, p ≤ .001). To evaluate if puma faces improve photo‐ID, we measured the inter‐rater agreement of 5 independent assessments of photo‐ID for 16 of our puma face capture events. Agreement was moderate to good (Fleiss’ kappa = 0.54, 95% CI = 0.48–0.60), and was 92.90% greater than a previously published kappa using conventional CT methods. This study is the first time that such a technique has been used for photo‐ID, and we believe a promising demonstration of how photo‐ID may be feasible for an elusive but unmarked species.
A niche for null models in adaptive resource management
Authors: Koons David N. , Riecke Thomas V. , Boomer G. Scott , Sedinger Benjamin S. , Sedinger James S. , Williams Perry J. , Arnold Todd W. 
Published: January 2022

AbstractAs global systems rapidly change, our collective ability to predict future ecological dynamics will become increasingly important for successful natural resource management. By merging stakeholder objectives with system uncertainty, and by adapting actions to changing systems and knowledge, adaptive resource management (ARM) provides a rigorous platform for making sound decisions in a changing world. Critically, however, applications of ARM could be improved by employing benchmarks (i.e., points of reference) for determining when learning is occurring through the cycle of monitoring, modeling, and decision‐making steps in ARM. Many applications of ARM use multiple model‐based hypotheses to identify and reduce systematic uncertainty over time, but generally lack benchmarks for gauging discovery of scientific evidence and learning. This creates the danger of thinking that directional changes in model weights or rankings are indicative of evidence for hypotheses, when possibly all competing models are inadequate. There is thus a somewhat obvious, but yet to be filled niche for including benchmarks for learning in ARM. We contend that carefully designed “ecological null models,” which are structured to produce an expected ecological pattern in the absence of a hypothesized mechanism, can serve as suitable benchmarks. Using a classic case study of mallard harvest management that is often used to demonstrate the successes of ARM for learning about ecological mechanisms, we show that simple ecological null models, such as population persistence (Nt+1 = Nt), provide more robust near‐term forecasts of population abundance than the currently used mechanistic models. More broadly, ecological null models can be used as benchmarks for learning in ARM that trigger the need for discarding model parameterizations and developing new ones when prevailing models underperform the ecological null model. Identifying mechanistic models that surpass these benchmarks will improve learning through ARM and help decision‐makers keep pace with a rapidly changing world.