bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translanguaging in Multilingual Education
Authors: Tai Kevin W. H. 
Published: January 2025

Abstract
Translanguaging has developed into a pedagogical philosophy, a theory of language and an analytical perspective which emphasizes teachers' and students' agentive use of multiple linguistic and non‐linguistic resources to generate new configurations of language and pedagogical practices. This entry will explain how translanguaging can transform the multilingual classroom into an equable space of learning that honors students' diverse linguistic and multimodal repertoire. The entry will further explain how translanguaging can be adopted as an analytical perspective to understand multilingual classroom interactions, as well as how teachers can create translanguaging spaces in the classroom to enable them to achieve their specific pedagogical goals. Examples drawn from Hong Kong English‐Medium‐Instruction secondary classrooms will be provided. Theoretical and methodological implications for adopting translanguaging as an analytical lens for language education research will be discussed.
Research Methods in Translation and Interpreting Studies
Authors: O'Brien Sharon , Mellinger Christopher D. 
Published: January 2025

Abstract
Translation and interpreting studies is an interdisciplinary area of scholarly inquiry that has relied on a wide range of methodological approaches over the course of its development and evolution into an independent discipline. Early methods focused on linguistic and textual comparisons of the translated product or the interpreted rendition. Corpus‐based methods grew in popularity along with greater interest in research on the cognitive processes involved in translation and interpreting and a recognition of the situated, embodied nature of this cognition. This turn necessitated the embracing of methods typically used in cognitive research, such as eye tracking, screen recording, and keyboard logging. Methods typical of inquiry in the social sciences, such as surveys, interviews, and focus groups, are still used in parallel. As new questions emerge about the boundaries of the discipline, so too do new challenges in the approach to research, including but not limited to questions about how to conduct research that is socially engaged and open.
Embodied Cognition and Street‐Crossing in Real and Simulated Ageing
Authors: Trouvé Marie , Dommes Aurélie , Lhuillier Simon , Dang Nguyen‐Thong , Gyselinck Valérie 
Published: January 2025

ABSTRACTFew studies have explored ageing through the prism of an embodied and situated approach to cognition. Due to its sensorimotor and cognitive components, crossing the street is a good paradigm to tackle this issue. Using an experimental approach, an ageing simulation suit was used to disentangle cognition from its sensorimotor context in 29 young participants compared to 28 young participants and 22 older participants who did not wear the suit. Over three blocks of 34 trials, participants crossed a two‐way street in a virtual reality platform. Their visual, auditory and cognitive performances were evaluated. Results showed sensorimotor decreases but no cognitive declines for participants wearing the suit. Interestingly, overall street‐crossing performances were altered with the sensorimotor impairments provoked by real as well as simulated ageing. These findings help address the links between sensorimotor and cognitive declines in ageing and demonstrate the relevance of using the GERT suit to simulate ageing.
Transparent, Anti‐Fouling and Mechanically Stable Coating with Hybrid Architecture Inspired by Corn Bracts‐Coating Strategy
Authors: Wang Yixue , Sun Rui , Zhao Wei , Lu Xinbo , Xiao Weiqiang , Meng Fandong , Zhan Xiaoli , Lu Jianguo , Gao Feng , Zhang Qinghua 
Published: January 2025

AbstractIn the quest for advanced coatings suitable for foldable electronics and photovoltaic systems, there is a pressing need for materials that combine transparency with durability. To address this, innovative special horizontal stripes transparent (SHT) coating is prepared by capillary gravity self‐assembly methods. This coating is derived from the structural principles of corn bracts and is created through the crosslinking of epoxy hydrophobic modified SiO2 with an epoxy organosilicon prepolymer, bridged by a double terminal amino polydimethylsiloxane. The special pattern of the surface makes the SHT coating more transparent than glass, and the special bionic structure is proven to be highly durable under extreme temperature fluctuations, withstanding tests from 150 to −20 °C over 192 h, and enduring 30 days of ultraviolet radiation exposure at 365 nm with an intensity of 30 W m−2. Moreover, even after 3000 cycles of scissors abrasion, the SHT maintained its anti‐fouling properties and mechanical resilience. It also demonstrated remarkable chemical stability across a range of solvents. The SHT coating can be easily applied to various flexible and rigid substrates using a brush, the SHT coating is poised to find broad applications in the realm of foldable optical devices.
Facile Interface Engineering Enabled Efficient and Stable Self‐Powered Perovskite Photodetectors for Versatile Photosensing Applications
Authors: Chang Chih‐Yu , Chin Yi‐Ling , Chang Chun‐Ya , Holovský Jakub 
Published: January 2025

AbstractA facile and promising strategy to achieve high‐performance and stable perovskite (PVSK) photodetectors by strategically selecting dibromo‐substituted naphthalene tetracarboxylic diimide (NDI‐Br2) as both electron transport layer (ETL) and ion blocking layer (IBL) is presented. The results signify that strong electron‐withdrawing dibromine substituents endow NDI‐Br2 with proper energy level and high affinity for iodide ions, rendering it well‐suited for acting as ETL and IBL synchronously. With this strategy, the resulting photodetectors exhibit remarkably high responsivity of 0.53 A W−1, specific detectivity of 3.58 × 1014 Jones and linear dynamic range of 217 dB. Very encouragingly, with appropriate encapsulation, superior device stability is secured even under continuous light irradiation or thermal stress conditions. More importantly, the applicability of this strategy to diverse fields, including pulse oximetry, image sensor, and precise ultraviolet (UV)‐A recognition system based on machine learning algorithm, are also validated. This work sets a precedent for developing self‐powered PVSK photodetectors with record‐breaking performance and stability, which represents an important step toward commercialization of this emerging technology. It is confident that this strategy can not only provide new insights in the design of new classes of interfacial layer materials, but also expand the practical applicability of PVSK photodetectors in real‐world scenarios.
Regulating COOH Intermediate via Rationally Constructed Surface‐Active Sites of Bi2WO6 for Solar‐Driven CO2‐to‐CO Production
Authors: Thang Nguyen Quoc , Sabbah Amr , Putikam Raghunath , Huang Chih‐Yang , Lin Tsai‐Yu , Hussien Mahmoud Kamal , Wu Heng‐Liang , Lin Ming‐Chang , Lee Chih‐Hao , Chen Kuei‐Hsien , Chen Li‐Chyong 
Published: January 2025

AbstractSolar‐driven CO2 reduction holds great promise for sustainable energy, yet the role of atomic active sites in governing intermediate formation and conversion remains poorly understood. Herein, a synergistic strategy using Ni single atoms (SAs) and surface oxygen vacancies (Ov) is reported to regulate the CO2 reduction pathway on the Bi2WO6 photocatalyst. Combining in‐situ techniques and theoretical modeling, the reaction mechanism and the structure‐activity relationship is elucidated. In‐situ X‐ray absorption spectroscopy identifies Bi and Ni as active sites, and in‐situ diffuse reflectance infrared Fourier transform spectroscopy demonstrates that adsorption of H2O and CO2 readily forms CO32− species on the Ov‐rich catalyst. Optimally balancing Ni SAs and Ov lowers the energy barrier for the formation and dehydration of a key COOH intermediate, leading to favorable CO formation and desorption. Consequently, a superior CO production efficiency of 53.49 µmol g‒1 is achieved, surpassing previous reports on Bi2WO6‐based catalysts for gas‐phase CO2 photoreduction.
Control of Two Solid Electrolyte Interphases at the Negative Electrode of an Anode‐Free All Solid‐State Battery based on Argyrodite Electrolyte
Authors: Wang Yixian , Raj Vikalp , Naik Kaustubh G. , Vishnugopi Bairav S. , Cho Jaeyoung , Nguyen Mai , Recker Elizabeth A. , Su Yufeng , Celio Hugo , Dolocan Andrei , Page Zachariah A. , Watt John , Henkelman Graeme , Tu Qingsong Howard , Mukherjee Partha P. , Mitlin David 
Published: January 2025

AbstractAnode‐free all solid‐state batteries (AF‐ASSBs) employ “empty” current collector with three active interfaces that determine electrochemical stability; lithium metal – Solid electrolyte (SE) interphase (SEI‐1), lithium – current collector interface, and collector – SE interphase (SEI‐2). Argyrodite Li6PS5Cl (LPSCl) solid electrolyte (SE) displays SEI‐2 containing copper sulfides, formed even at open circuit. Bilayer of 140 nm magnesium/30 nm tungsten (Mg/W‐Cu) controls the three interfaces and allows for state‐of‐the‐art electrochemical performance in half‐cells and fullcells. AF‐ASSB with NMC811 cathode achieves 150 cycles with Coulombic efficiency (CE) above 99.8%. With high mass‐loading cathode (8.6 mAh cm−2), AF‐ASSB retains 86.5% capacity after 45 cycles at 0.2C. During electrodeposition of Li, gradient Li‐Mg solid solution is formed, which reverses upon electrodissolution. This promotes conformal wetting/dewetting by Li and stabilizes SEI‐1 by lowering thermodynamic driving force for SE reduction. Inert refractory W underlayer is required to prevent ongoing formation of SEI‐2 that also drives electrochemical degradation. Inert Mo and Nb layers likewise protect Cu from corroding, while Li‐alloying layers (Mg, Sn) are less effective due to ongoing volume changes and associated pulverization. Mechanistic explanation for observed Li segregation within alloying LixMg layer is provided through mesoscale modelling, considering opposing roles of diffusivity differences and interfacial stresses.
Capturing and Sensing the Toxic Volatile Pollutants SO2, NO2, and O3 From Fireworks Using Modified Graphene Oxide – Insights from First Principle Calculations
Authors: Sekar Janaranjani , Ramasamy Rohith , Solomon Rajadurai Vijay 
Published: January 2025

AbstractDespite the captivating and colorful fireworks displays in the sky, their immediate emissions significantly contribute to airborne pollutants in the troposphere, particularly trace metals and carbonaceous species in size‐segregated aerosols. These pollutants release harmful gases like SO2, NO2, and O3, which pose serious health risks. Therefore, tracing and trapping these toxic volatile pollutants (TVPs) is crucial for addressing air pollution concerns. Graphene oxide (GO), known for its advanced sensing capabilities, is an ideal material due to its oxygen functional groups, particularly hydroxyl (─OH) and epoxy groups (─O), which enhance its adsorption properties. This study investigates the adsorption behavior of ─O and ─OH functionalized GO toward common TVPs found in fireworks (SO2, NO2, and O3) from a computational perspective. The most stable orientation with high adsorption energy has been determined through surface stability and electronic property analyses. Further investigation into charge density and transfer, electrical conductivity, and recovery time provides deeper insights into the material's effectiveness. This research emphasizes the importance of TVPs removal during festival emissions, highlighting the potential of GO for improving air quality control during such events.
SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single‐Cell Gene Expression
Authors: Li Minghong , Yang Yurong , Wu Rucheng , Gong Haiyan , Yuan Zan , Wang Jixin , Long Erping , Zhang Xiaotong , Chen Yang 
Published: January 2025

AbstractThe dynamics of chromatin conformation involve continuous and reversible changes within the nucleus of a cell, which participate in regulating processes such as gene expression, DNA replication, and damage repair. Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single‐cell RNA sequencing data and a limited number of single‐cell Hi‐C maps. SEE is employed to investigate chromatin dynamics across different scales, enabling the detection of (i) rearrangements in topologically associating domains (TADs), and (ii) oscillations in chromatin interactions at gene loci. Additionally, SEE facilitates the interpretation of disease‐associated single‐nucleotide polymorphisms (SNPs) by leveraging the dynamic features of chromatin conformation. Overall, SEE offers a single‐cell, high‐resolution approach to analyzing chromatin dynamics in both developmental and disease contexts.
Triboelectric Bending Sensors for AI‐Enabled Sign Language Recognition
Authors: Wang Wei , Bo Xiangkun , Li Weilu , Eldaly Abdelrahman B. M. , Wang Lingyun , Li Wen Jung , Chan Leanne Lai Hang , Daoud Walid A. 
Published: January 2025

AbstractHuman–machine interfaces and wearable electronics, as fundamentals to achieve human‐machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capacitive mechanisms demand an external power, impeding them from extensive and diverse deployment. Herein, a smart wearable system is developed encompassing five arch‐structured self‐powered triboelectric sensors, a five‐channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short‐term memory (LSTM) network, to recognize signal patterns. A slider‐crank mechanism that precisely controls the bending angle is designed to quantitively assess the sensor's performance. Thirty signal patterns of sign language of each letter are collected and analyzed after the environment noise and cross‐talks among different channels are reduced and removed, respectively, by leveraging low pass filters. Two LSTM models are trained using different training sets, and four indexes are introduced to evaluate their performance, achieving a recognition accuracy of 96.15%. This work demonstrates a novel integration of triboelectric sensors with AI for sign language recognition, paving a new application avenue of triboelectric sensors in wearable electronics.
Wet Photolithography From Hydrogen Abstraction of a Quasi‐Orthogonal Aggregation‐Induced Emitter
Authors: Cao Chen , Chen Huan , Jin Jia‐Ming , Tan Ji‐Hua , Tan Hong‐Ji , Lin Jiu‐Dong , Chen Wen‐Cheng , Yuan Yi , Zhu Ze‐Lin , Lee Chun‐Sing 
Published: January 2025

AbstractA new aggregation‐induced emission (AIE) luminogen is obtained by dimerizing acridin‐9(10H)‐one (Ac), an aggregation‐caused quenching (ACQ) effect monomer via an N─N bond and forming 9H,9′H‐[10,10′‐biacridine]‐9,9′‐dione (DiAc) with D2d symmetry. The quenching of DiAc in solution is ascribed to the enhanced basicity promoting hydrogen bonding and then a hydrogen abstraction (HA) reaction and/or an unallowed transition in frontier orbitals with the same symmetry facilitating intersystem crossing. It is found that emissive Ac is one product of the non‐emissive DiAc solution in the HA reaction activated by UV irradiation. By exploiting the AIE properties and the HA reaction of DiAc, photolithographic patterning is demonstrated with a paper wetted with DiAc solution.
Fully 3D‐Printed Soft Capacitive Sensor of High Toughness and Large Measurement Range
Authors: Xiao Fei , Wei Zhuoheng , Xu Zhipeng , Wang Hao , Li Jisen , Zhu Jian 
Published: January 2025

AbstractSoft capacitive sensors are widely utilized in wearable devices, flexible electronics, and soft robotics due to their high sensitivity. However, they may suffer delamination and/or debonding due to their low interfacial toughness. In addition, they usually exhibit a small measurement range resulting from their limited stiffness variation range. In this paper, soft silicone‐based capacitive sensors are developed by using a customized multimaterial 3D printer. By curing silicone materials simultaneously, the continuous conductive and dielectric layers achieve a substantial interfacial toughness of 1036 J·m−2. The sensor with tilted thin‐plate dielectrics exhibits interfacial toughness of 645 J·m−2 or 339 J·m−2 in the transverse or longitudinal direction, respectively. Additionally, the sensors demonstrate a broad measurement range from 0.85 Pa to 5000 kPa. This extended range is facilitated by the significant stiffness variation of the separated tilted thin‐plate dielectrics, ranging from 0.56 kPa to 19.76 MPa. Two applications of these fully printed soft sensors, including an intelligent sensorized insole and a robotic hand combining both soft actuators and soft sensors are showcased. It is believed that the strategy, employing 3D printing for soft microstructured sensors, is a general approach not only applicable for improving the performance of soft sensors, but also conducive to designing powerful soft functional devices.
Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells
Authors: Tang Chunmei , Yuan Baoyin , Zhang Xiaohan , Zheng Fangyuan , Su Qingwen , Meng Ling , Du Lei , Luo Dongxiang , Aoki Yoshitaka , Wang Ning , Ye Siyu 
Published: January 2025

AbstractProtonic ceramic cells (PCCs) have gained significant attention as a promising electrochemical device for hydrogen production and power generation at intermediate temperatures. However, the lack of high‐performance air electrodes, specifically in terms of proton conduction ability, has severely hindered the improvement of electrochemical performances for PCCs. In this study, a high‐efficiency air electrode La0.8Ba0.2CoO3 (LBC) is rationally designed and researched by a machine‐learning model and density functional theory (DFT) calculation, which boosts the performances of PCCs. Specifically, an elements‐property map for designing high‐efficiency oxides is created by predicting and studying the proton uptake ability of La1–xA′xBO3 (A′ = Na, K, Ca, Mg, Ba, Cu, etc.) by an eXtreme Gradient Boosting model. PCC with LBC air electrode yields high current destiny in electrolysis mode (1.72 A cm−2 at 600 °C) and power density in fuel cell mode (1.00 W cm−2 at 600 °C). In addition, an ultra‐low air electrode reaction resistance (0.03 Ω cm2 at 600 °C) is achieved, because LBC can significantly facilitate the formation of O2*. This work not only reports an effective air electrode but also presents a new avenue for the rational design of air electrodes for PCCs.
One‐Pot Synthesis of Polysubstituted Indoles via the Indium‐Promoted Regioselective Hydrohydrazination of Terminal Alkynes
Authors: Sakai Norio , Yokoyama Takahiro , Ishida Kento 
Published: January 2025

AbstractWe demonstrated that indium bromide, a trivalent indium compound with strong tolerance toward various coordination functional groups, can be used as a sole promotor to effectively promote the hydrohydrazination of a variety of N‐phenylhydrazines with aromatic/aliphatic alkynes and the subsequent [3,3]‐sigmatropic reaction of the hydrazone intermediate, leading to the one‐pot preparation of various poly‐substituted indole derivatives. Notably, the initial hydrohydrazination proceeded in a Markovnikov‐type manner and showed high regioselectivity, with the hydrohydrazination of arylalkynes affording only 2‐arylindole derivatives. Therefore, our findings provide a facile and practical one‐pot process for the synthesis of polysubstituted indole derivatives from various phenylhydrazines and aromatic/aliphatic alkynes using only one promotor.
Scalable and Low‐Energy Synthesis of Metal–Organic Frameworks by a Seed‐Mediated Approach
Authors: Han Wentao , Shi Minghao , Jiang Hai‐Long 
Published: January 2025

AbstractThe synthesis of metal–organic frameworks (MOFs) by low energy input has been a long‐term target for practical applications yet remains a great challenge. Herein, we developed a low‐energy MOF growth strategy at a temperature down to 50 °C by simply introducing seeds into the reaction system. The MOFs are continuously grown on the surface of the seeds at a growth rate dozens of times higher than that of conventional solvothermal synthesis at low temperature, while the resulting MOFs possess high crystallinity, porosity, and stability similar to solvothermal seeds. Remarkably, the obtained MOFs feature high‐density structural defects with Lewis acidity, thereby displaying more than one order of magnitude higher activity than the MOFs obtained by the conventional solvothermal method in the iodination reaction of substituted arenes. This low‐energy synthetic approach is readily scaled up, which would be a significant step forward in the dream of the MOF industry.
Ultrasensitive Characterization of Native Bacterial Biofilms via Dynamic Nuclear Polarization‐Enhanced Solid‐State NMR
Authors: Byeon Chang‐Hyeock , Kinney Ted , Saricayir Hakan , Holst Hansen Kasper , Scott Faith J. , Srinivasa Sadhana , Wells Meghan K. , Mentink‐Vigier Frederic , Kim Wook , Akbey Ümit 
Published: January 2025

AbstractBacterial biofilms are major contributors to persistent infections and antimicrobial resistance, posing significant challenges to treatment. However, obtaining high‐resolution structural information on native bacterial biofilms has remained elusive due to the methodological limitations associated with analyzing complex biological samples. Solid‐state NMR (ssNMR) has shown promise in this regard, but its conventional application is hindered by sensitivity constraints for unlabeled samples. In this study, we utilized high‐sensitivity Dynamic Nuclear Polarization (DNP) ssNMR to characterize native Pseudomonas fluorescens colony biofilms. The ~75‐fold sensitivity enhancement provided by DNP enabled structural characterization without isotope labeling or chemical/physical modification. We successfully collected 1D 13C/15N, and 2D 1H−13C, 1H−15N and 13C−13C ssNMR spectra within seconds, minutes or hours, facilitating the identification and quantification of biofilm extracellular matrix (ECM) components. Additionally, DNP ssNMR allowed quantitative detection of both flexible and rigid biofilm components by favorable freezing conditions. This study represents the first application of ultrasensitive DNP ssNMR to characterize a native bacterial biofilm, significantly expanding the capabilities of ssNMR for analyzing the composition and structure of a wide array of in vitro and ex vivo biofilms. The versatility of this approach will accelerate structure‐guided efforts to combat infections caused by biofilm‐forming microbes.
Growth‐Based Analyte and Bioanalyte Sensing Applications Using Noble Metal Nanoparticles: Effect of Nanoparticle Growth on the Localized Surface Plasmon Resonance Signal
Authors: Watzky Murielle A. , Ethridge Austin J. 
Published: January 2025

AbstractNoble metal (gold and silver) nanoparticles have found a range of applications as sensors and biosensors. These applications utilize the nanoparticles’ tunable optical properties within the visible range of the electromagnetic spectrum, which originate from localized surface plasmon resonance. Recent applications have focused on analyte and bioanalyte detection through nanoparticle growth while successfully achieving low detection limits. This review focuses on theoretical and empirical models used to quantify and/or optimize the localized surface plasmon resonance response to nanoparticle growth, with representative examples from the literature. The effect of nanoparticle growth on the localized surface plasmon resonance signal in monometallic nanoparticles, bimetallic core‐shell nanoparticles, and monometallic nanoshells will be discussed, including spherical, spheroidal and non‐spheroidal nanoparticle shapes.