bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a signature pedagogy for technology-enhanced task-based language teaching: Defining its design principles
Authors: Canals Laia , Mor Yishay 
Published: June 2022

AbstractThis paper reports on ongoing research aimed at characterizing a signature pedagogy (Shulman, 2005) of technology-enhanced task-based language teaching (TETBLT). To achieve this goal, we initially identified 15 pedagogical principles and practices distinctive of TETBLT. This initial set of principles and practices were motivated by second language acquisition theories (Doughty & Long, 2003), methodological approaches in foreign language teaching (Kramsch, 2014), and state-of-the-art publications on computer-assisted language learning (Chapelle & Sauro, 2017). During the first phase of the study, we consulted an initial group of 34 experts in the field, using the Delphi technique to achieve gradual consensus about the set of principles. After analyzing the first set of responses (N = 23) to the principles, which attained a degree of agreement averaging 71% and ranging from 48% to 96%, we refined the principles incorporating the feedback received and sent out a second questionnaire, which allowed us to reach a consensus about a set of eight robust pedagogical principles for TETBLT.
Functional dysconnectivity of cerebellum and attention networks in emotional dysregulation shared between attention deficit hyperactivity disorder and major depressive disorder: a multimodal imaging study
Authors: Wu Shun-Chin J. , Hsu Ju-Wei , Huang Kai-Lin , Bai Ya-Mei , Tu Pei-Chi , Chen Mu-Hong 
Published: June 2022

AbstractBackgroundEmotional dysregulation (ED) is a common characteristic of both attention deficit hyperactivity disorder (ADHD) and major depressive disorder (MDD), especially in adolescents. However, whether ADHD and MDD may share the specific ED-related neural networks remains unknown.MethodsIn total, 43 adolescents with clinical ED (22 adolescents with ADHD and 21 with MDD) were recruited; in addition, 29 sex- and age-matched healthy controls (HCs) were included. Resting-state functional connectivity (RSFC) analysis, voxel-based morphometry, and diffusion tensor imaging analysis were performed for each patient. In addition, we determined the significant regions of interest in patients with ED due to ADHD and MDD as compared with HCs and tested their correlations with clinical rating scale scores.ResultsCompared with HCs, patients with ED had greater RSFC in the cerebellum and supramarginal gyrus (SMG), especially between vermis VI and the SMG in the attention networks, and lower RSFC between the right supplementary motor area and right lateral parietal area. Lower gray matter (GM) volume in the SMG was also found. RSFC was significantly correlated with clinical rating scale scores for all patients with ED due to ADHD or MDD. GM change was correlated with ED and MDD rating scale scores.DiscussionThe cerebellum and attention networks might play major roles in ED pathophysiology in adolescents with ADHD and MDD. Increased connectivity of the vermis to the SMG serves as a possible underlying neural network.
Development of the Anger Children’s Cognitive Error Scale and the Anger Children’s Automatic Thought Scale
Authors: Kishida Kohei , Takebe Masaya , Kuribayashi Chisato , Tanabe Yuichi , Ishikawa Shin-ichi 
Published: June 2022

AbstractBackground:Empirical studies between anger and anger-provoking cognitive variables in children and adolescents are lacking, despite numerous studies on internalising and externalising problems.Aim:The purpose of this study was to develop new questionnaires for anger-provoking cognitive errors and automatic thoughts, and examine relationships between anger, cognitive errors, and automatic thoughts in children and adolescents.Method:Participants were 485 Japanese children and adolescents aged 9–15 years old (254 females; average age 12.07; SD = 1.81). They completed the Anger Children’s Cognitive Error Scale (A-CCES) and the Anger Children’s Automatic Thought Scale (A-CATS), which were developed in this study, as well as the Anger Scale for Children and Adolescents and the Japanese version of Short Spence Children’s Anxiety Scale.Results:Both the A-CCES and the A-CATS had adequate reliability (internal consistency) and validity (face validity, structural validity and construct validity). A hierarchal regression analysis indicated that automatic thoughts were positively and moderately related to anger (β = .37) after controlling for age, gender, anxiety symptoms, cognitive errors and interaction term. Moreover, a mediation analysis indicated that automatic thoughts significantly mediated the relationship between cognitive errors and anger (indirect effect, 0.24; 95% CI: .020 to .036).Conclusions:This study developed the new questionnaires to assess anger-provoking cognitive errors and automatic thoughts. In addition, this study revealed that automatic thoughts rather than cognitive errors are associated with anger in children and adolescents.
Three Ways of Reading a Frontispiece: The Example of the Cairo Būstān
Authors: BLAIR SHEILA 
Published: June 2022

AbstractThe double-page frontispiece to the manuscript of Saʿdi's Būstān transcribed for the penultimate Timurid ruler Sultan Husayn (r. 1469–1506) and now in the National Library of Egypt (Adab Farisi 22) is well-known and oft-published. Reproduced repeatedly since the turn of the twentieth century, it has become part of the canons of Persian painting, Timurid art, the oeuvre of Bihzad and his circle, masterpieces of the Cairo Library, and more. Connoisseurs and scholars have repeatedly discussed its period details. Barbara Brend, the scholar we honour in this volume, who has written so mellifluously about Persianate painting, analysed the identity and pose of several figures in it. Here I should like to continue the lengthy isnād, suggesting three ways of examining the frontispiece in the context of the manuscript to which it belongs, first structurally as the opening spread in a codex, then literarily as the introduction to a specific text, and finally, historically as a pictorial encomium to the princely patron for whom the manuscript was produced. Altogether, the article looks at three different ways of reading this and other pictorial frontispieces.
‘Chinese’ Paper and Margins of Gold in a Fifteenth-Century Shiraz Anthology
Authors: WRIGHT ELAINE 
Published: June 2022

AbstractWithin the Chester Beatty Library, Dublin, is a small, but especially interesting anthology of Persian poetry. Although the manuscript's colophon is missing, the stylistic evidence of its badly damaged illustrations and illuminations indicates that it was produced in Shiraz in the 1430s or 1440s. The discussion considers two unusual features of the manuscript, the first of which is that seven folios of a type of paper, generally thought to be of Chinese manufacture, are included among its 171 folios of otherwise Islamic paper. As is typical of this so-called Chinese paper, the folios are coloured—in this case an olive green—and one is decorated with a gold painted design of what appears to be an immature fruit of some sort, along with lobed leaves on a curling vine. Equally intriguing are the scenes and patterns, painted exclusively in gold, that fill the margins of the folios throughout the manuscript. No other such margins are known in any other contemporary manuscript.
Robust determinants of neurocognitive development in children: evidence from the Pune Maternal Nutrition Study
Authors: Yajnik Chittaranjan S. , Tan Chih Ming , Bhate Vidya , Bandyopadhyay Souvik , Sankar Ashwini , Behere Rishikesh V. 
Published: June 2022

AbstractNeurocognitive development is a dynamic process over the life course and is influenced by intrauterine factors as well as later life environment. Using data from the Pune Maternal Nutrition Study from 1994 to 2008, we investigate the association of in utero, birth, and childhood conditions with offspring neurocognitive development in 686 participants of the cohort, at age 12 years. The life course exposure variables in the analysis include maternal pre-pregnancy size and nutrition during pregnancy, offspring birth measurements, nutrition and physical growth at age 12 years along with parental education and socio-economic status. We used the novel Bayesian Model Averaging (BMA) approach; which has been shown to have better predictive performance over traditional tests of associations. Our study employs eight standard neurocognitive tests that measure intelligence, working memory, visuo-conceptual and verbal learning, and decision-making/attention at 12 years of age. We control for nutritional-metabolic information based on blood measurements from the pregnant mothers and the children at 12 years of age. Our findings highlight the critical role of parental education and socio-economic background in determining child neurocognitive performance. Maternal characteristics (pre-pregnancy BMI, fasting insulin during pregnancy) and child height at 12 years were also robust predictors on the BMA. A range of early factors – such as maternal folate and ferritin concentrations during pregnancy, and child’s head circumference at birth – remained important determinants of some dimensions of child’s neurocognitive development, but their associations were not robust once we account for model uncertainty. Our results suggest that intrauterine influences on long- term neurocognitive outcomes may be potentially reversible by post-birth remediation. In addition to the current nutritional interventions, public health policy should also consider social interventions in children born into families with low socio-economic status to improve human capital.
Source Relationships and Model Structures Determine Information Flow Paths in Ecohydrologic Models
Authors: Goodwell Allison E. , Bassiouni Maoya 
Published: June 2022

AbstractIn a complex ecohydrologic system, vegetation and soil variables combine to dictate heat fluxes, and these fluxes may vary depending on the extent to which drivers are linearly or nonlinearly interrelated. From a modeling and causality perspective, uncertainty, sensitivity, and performance measures all relate to how information from different sources “flows” through a model to produce a target, or output. We address how model structure, broadly defined as a mapping from inputs to an output, combines with source dependencies to produce a range of information flow pathways from sources to a target. We apply information decomposition, which partitions reductions in uncertainty into synergistic, redundant, and unique information types, to a range of model cases. Toy models show that model structure and source dependencies both restrict the types of interactions that can arise between sources and targets. Regressions based on weather data illustrate how different model structures vary in their sensitivity to source dependencies, thus affecting predictive and functional performance. Finally, we compare the Surface Flux Equilibrium theory, a land‐surface model, and neural networks in estimating the Bowen ratio and find that models trade off information types particularly when sources have the highest and lowest dependencies. Overall, this study extends an information theory‐based model evaluation framework to incorporate the influence of source dependency on information pathways. This could be applied to explore behavioral ranges for both machine learning and process‐based models, and guide model development by highlighting model deficiencies based on information flow pathways that would not be apparent based on existing measures.
The Challenge of Getting Earth and Space Science Into U.S. High Schools
Authors: Wysession M. E. 
Published: June 2022

AbstractThe Next Generation Science Standards (NGSS), which have now been adopted or adapted by 45 states and Washington, D.C., as their public K‐12 science education standards, are not only revolutionizing the way science is taught but are providing significant opportunities for an increased presence of Earth and space science (ESS) in public high schools in many states across the U.S. The NGSS, which grew out of the National Research Council’s Framework for K‐12 Science Education, are the latest in a > 150‐year history of attempts to shape the science education standards within U.S. states. NGSS‐designed curricula, which focus on the practices of science and allow students to explore science through following storylines developed around student‐relevant phenomena, are engaging and effective, and are reshaping K‐12 science courses at a surprisingly rapid pace. In the process, large numbers of U.S. high schools that have never included substantial ESS are now doing so for the first time, providing a significant opportunity to make substantial improvements in general U.S. geoscience literacy. There is still far to go and a successful integration of ESS into the K‐12 education across all states will require substantial service work on the part of geoscientists.
Characterization of Acoustic Emissions From Analogue Rocks Using Sparse Regression‐DMDc
Authors: Fieseler C. , Mitchell C. A. , Pyrak‐Nolte L. J. , Kutz J. N. 
Published: June 2022

AbstractMoisture loss in rock is known to generate acoustic emissions (AE). Phenomena that result in AE during drying are related to the movement of fluids through the pores and induced‐cracks that arise from differential mineral shrinkage, especially in clay‐bearing rock. AE from the movement of fluids occurs from the reconfiguration of fluid interfaces during drying, while AE from mineral shrinkage involves the debonding within or between minerals. Here, analogue rock samples were used to examine the differences in the AE signatures when one or both AE source‐types are present. An unsupervised sparse regression model, Dynamic Mode Decomposition with control, that extends Dynamic Mode Decomposition is used to characterize the AE signals recorded during the drying of porous analogue rock samples fabricated with ordinary Portland cement, with and without clay. This method can effectively and accurately reconstruct acoustic signals emitted from samples that only experience moisture loss without cracking. However, the method struggles to reconstruct signals from samples with intricate crack networks that formed during drying because AE generating mechanisms can emit contemporaneously, and the resulting waves propagate through drying‐induced cracks that can lead to multiple internal reflections. Thus, the differential reconstruction accuracy of time series generated by different underlying physical processes provides a robust filter for reducing large data catalogs. In general, both dynamics and sparse initiating events are learned directly from data and this method exposes a data hierarchy based on the complexity of the intrinsic dynamics.
Programmable structured surfaces can change the future of wireless communications
Authors: Xu Lei , Rahmani Mohsen 
Published: June 2022

AbstractAn innovative time-varying metasurface has been reported to realise dual-channel data transmissions for light-to-microwave signal conversion. Such a novel technique is a remarkable step forward to realise full-spectrum networks for catering for the growing demand for wireless communications. Moreover, this technique enriches the functionalities of tunable metasurfaces and stimulates new information-oriented applications.
Flood exposure and poverty in 188 countries
Authors: Rentschler Jun , Salhab Melda , Jafino Bramka Arga 
Published: June 2022

AbstractFlooding is among the most prevalent natural hazards, with particularly disastrous impacts in low-income countries. This study presents global estimates of the number of people exposed to high flood risks in interaction with poverty. It finds that 1.81 billion people (23% of world population) are directly exposed to 1-in-100-year floods. Of these, 1.24 billion are located in South and East Asia, where China (395 million) and India (390 million) account for over one-third of global exposure. Low- and middle-income countries are home to 89% of the world’s flood-exposed people. Of the 170 million facing high flood risk and extreme poverty (living on under $1.90 per day), 44% are in Sub-Saharan Africa. Over 780 million of those living on under $5.50 per day face high flood risk. Using state-of-the-art poverty and flood data, our findings highlight the scale and priority regions for flood mitigation measures to support resilient development.
Evaporative water loss of 1.42 million global lakes
Authors: Zhao Gang , Li Yao , Zhou Liming , Gao Huilin 
Published: June 2022

AbstractThe evaporative loss from global lakes (natural and artificial) is a critical component of the terrestrial water and energy balance. However, the evaporation volume of these water bodies—from the spatial distribution to the long-term trend—is as of yet unknown. Here, using satellite observations and modeling tools, we quantified the evaporation volume from 1.42 million global lakes from 1985 to 2018. We find that the long-term average lake evaporation is 1500 ± 150 km3 year−1 and it has increased at a rate of 3.12 km3 year−1. The trend attributions include an increasing evaporation rate (58%), decreasing lake ice coverage (23%), and increasing lake surface area (19%). While only accounting for 5% of the global lake storage capacity, artificial lakes (i.e., reservoirs) contribute 16% to the evaporation volume. Our results underline the importance of using evaporation volume, rather than evaporation rate, as the primary index for assessing climatic impacts on lake systems.
SpySwitch enables pH- or heat-responsive capture and release for plug-and-display nanoassembly
Authors: Vester Susan K. , Rahikainen Rolle , Khairil Anuar Irsyad N. A. , Hills Rory A. , Tan Tiong Kit , Howarth Mark 
Published: June 2022

AbstractProteins can be empowered via SpyTag for anchoring and nanoassembly, through covalent bonding to SpyCatcher partners. Here we generate a switchable version of SpyCatcher, allowing gentle purification of SpyTagged proteins. We introduce numerous histidines adjacent to SpyTag’s binding site, giving moderate pH-dependent release. After phage-based selection, our final SpySwitch allows purification of SpyTag- and SpyTag003-fusions from bacterial or mammalian culture by capture at neutral pH and release at pH 5, with purity far beyond His-tag methods. SpySwitch is also thermosensitive, capturing at 4 °C and releasing at 37 °C. With flexible choice of eluent, SpySwitch-purified proteins can directly assemble onto multimeric scaffolds. 60-mer multimerization enhances immunogenicity and we use SpySwitch to purify receptor-binding domains from SARS-CoV-2 and 11 other sarbecoviruses. For these receptor-binding domains we determine thermal resilience (for mosaic vaccine development) and cross-recognition by antibodies. Antibody EY6A reacts across all tested sarbecoviruses, towards potential application against new coronavirus pandemic threats.
Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation
Authors: Dsouza Kevin B. , Maslova Alexandra , Al-Jibury Ediem , Merkenschlager Matthias , Bhargava Vijay K. , Libbrecht Maxwell W. 
Published: June 2022

AbstractDespite the availability of chromatin conformation capture experiments, discerning the relationship between the 1D genome and 3D conformation remains a challenge, which limits our understanding of their affect on gene expression and disease. We propose Hi-C-LSTM, a method that produces low-dimensional latent representations that summarize intra-chromosomal Hi-C contacts via a recurrent long short-term memory neural network model. We find that these representations contain all the information needed to recreate the observed Hi-C matrix with high accuracy, outperforming existing methods. These representations enable the identification of a variety of conformation-defining genomic elements, including nuclear compartments and conformation-related transcription factors. They furthermore enable in-silico perturbation experiments that measure the influence of cis-regulatory elements on conformation.
Upcycling Compact Discs for Flexible and Stretchable Bioelectronic Applications
Authors: Brown Matthew S. , Somma Louis , Mendoza Melissa , Noh Yeonsik , Mahler Gretchen J. , Koh Ahyeon 
Published: June 2022

AbstractElectronic waste is a global issue brought about by the short lifespan of electronics. Viable methods to relieve the inundated disposal system by repurposing the enormous amount of electronic waste remain elusive. Inspired by the need for sustainable solutions, this study resulted in a multifaceted approach to upcycling compact discs. The once-ubiquitous plates can be transformed into stretchable and flexible biosensors. Our experiments and advanced prototypes show that effective, innovative biosensors can be developed at a low-cost. An affordable craft-based mechanical cutter allows pre-determined patterns to be scored on the recycled metal, an essential first step for producing stretchable, wearable electronics. The active metal harvested from the compact discs was inert, cytocompatible, and capable of vital biopotential measurements. Additional studies examined the material’s resistive emittance, temperature sensing, real-time metabolite monitoring performance, and moisture-triggered transience. This sustainable approach for upcycling electronic waste provides an advantageous research-based waste stream that does not require cutting-edge microfabrication facilities, expensive materials, and high-caliber engineering skills.
Pancreatic α and β cells are globally phase-locked
Authors: Ren Huixia , Li Yanjun , Han Chengsheng , Yu Yi , Shi Bowen , Peng Xiaohong , Zhang Tianming , Wu Shufang , Yang Xiaojing , Kim Sneppen , Chen Liangyi , Tang Chao 
Published: June 2022

AbstractThe Ca2+ modulated pulsatile glucagon and insulin secretions by pancreatic α and β cells play a crucial role in glucose homeostasis. However, how α and β cells coordinate to produce various Ca2+ oscillation patterns is still elusive. Using a microfluidic device and transgenic mice, we recorded Ca2+ signals from islet α and β cells, and observed heterogeneous Ca2+ oscillation patterns intrinsic to each islet. After a brief period of glucose stimulation, α and β cells’ oscillations were globally phase-locked. While the activation of α cells displayed a fixed time delay of ~20 s to that of β cells, β cells activated with a tunable period. Moreover, islet α cell number correlated with oscillation frequency. We built a mathematical model of islet Ca2+ oscillation incorporating paracrine interactions, which quantitatively agreed with the experimental data. Our study highlights the importance of cell-cell interaction in generating stable but tunable islet oscillation patterns.
Structural basis for mitoguardin-2 mediated lipid transport at ER-mitochondrial membrane contact sites
Authors: Kim Hyunwoo , Lee Seowhang , Jun Youngsoo , Lee Changwook 
Published: June 2022

AbstractThe endoplasmic reticulum (ER)-mitochondria contact site (ERMCS) is crucial for exchanging biological molecules such as phospholipids and Ca2+ ions between these organelles. Mitoguardin-2 (MIGA2), a mitochondrial outer membrane protein, forms the ERMCS in higher eukaryotic cells. Here, we report the crystal structures of the MIGA2 Lipid Droplet (LD) targeting domain and the ER membrane protein VAPB bound to the phosphorylated FFAT motif of MIGA2. These structures reveal that the MIGA2 LD targeting domain has a large internal hydrophobic pocket that accommodates phospholipids and that two phosphorylations of the FFAT motif are required for tight interaction of MIGA2 with VAPB, which enhances the rate of lipid transport. Further biochemical studies show that MIGA2 transports phospholipids between membranes with a strong preference for binding and trafficking phosphatidylserine (PS). These results provide a structural and molecular basis for understanding how MIGA2 mediates the formation of ERMCS and facilitates lipid trafficking at the ERMCS.