bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobile payment adoption in China: Do demographic and socioeconomic factors matter?
Authors: Vatsa Puneet , Ma Wanglin , Zheng Hongyun 
Published: December 2023

AbstractAlthough mobile payment adoption has risen steeply, relatively little is known about whether and how demographic and socioeconomic factors, subjective well‐being, political affiliation, and health status are associated with mobile payment adoption. Using 2017 Chinese General Social Survey data on 11,628 individuals, we show that Chinese people's decisions to adopt mobile payment solutions are positively and significantly associated with education, perception of health and economic status, Chinese Communist Party membership, full‐time work, income, social participation, car ownership, internet penetration rate, and residential location. Age is negatively associated with mobile payment adoption, and men are less likely than women to use mobile payment solutions; subject well‐being is not associated with mobile payment adoption.
Novel homozygous mutations in TXNDC15 causing Meckel syndrome
Authors: Deng Tianqin , Xie Yuli 
Published: December 2023

AbstractBackgroundMeckel syndrome (MKS) is the most severe form of an autosomal recessive ciliopathy and is clinically characterized by occipital encephalocele, severely polycystic kidneys, and postaxial polydactyly (toes). The association of TXNDC15‐related MKS has been reported. We report the case of a homozygous mutation in the TXNDC15 gene, causing MKS14 in the Chinese population.MethodsThe fetal skin tissue and parental peripheral blood were retained for whole‐exome sequencing and Sanger sequencing, which investigated the potential pathogenic variants associated with MKS.ResultsThe fetus was homozygous for a mutation in the TXNDC15 gene (NM_024715.3), specifically c.560delA (p.Asn187llefsTer4), and both parents were heterozygous for this mutation.ConclusionOur study identified a new mutation that adds to the mutational landscape of MKS, which provide a basis for genetic counseling and the selection of reproductive options.
High‐resolution myelin‐water fraction and quantitative relaxation mapping using 3D ViSTa‐MR fingerprinting
Authors: Liao Congyu , Cao Xiaozhi , Iyer Siddharth Srinivasan , Schauman Sophie , Zhou Zihan , Yan Xiaoqian , Chen Quan , Li Zhitao , Wang Nan , Gong Ting , Wu Zhe , He Hongjian , Zhong Jianhui , Yang Yang , Kerr Adam , Grill‐Spector Kalanit , Setsompop Kawin 
Published: December 2023

AbstractPurposeThis study aims to develop a high‐resolution whole‐brain multi‐parametric quantitative MRI approach for simultaneous mapping of myelin‐water fraction (MWF), T1, T2, and proton‐density (PD), all within a clinically feasible scan time.MethodsWe developed 3D visualization of short transverse relaxation time component (ViSTa)‐MRF, which combined ViSTa technique with MR fingerprinting (MRF), to achieve high‐fidelity whole‐brain MWF and T1/T2/PD mapping on a clinical 3T scanner. To achieve fast acquisition and memory‐efficient reconstruction, the ViSTa‐MRF sequence leverages an optimized 3D tiny‐golden‐angle‐shuffling spiral‐projection acquisition and joint spatial–temporal subspace reconstruction with optimized preconditioning algorithm. With the proposed ViSTa‐MRF approach, high‐fidelity direct MWF mapping was achieved without a need for multicompartment fitting that could introduce bias and/or noise from additional assumptions or priors.ResultsThe in vivo results demonstrate the effectiveness of the proposed acquisition and reconstruction framework to provide fast multi‐parametric mapping with high SNR and good quality. The in vivo results of 1 mm‐ and 0.66 mm‐isotropic resolution datasets indicate that the MWF values measured by the proposed method are consistent with standard ViSTa results that are 30× slower with lower SNR. Furthermore, we applied the proposed method to enable 5‐min whole‐brain 1 mm‐iso assessment of MWF and T1/T2/PD mappings for infant brain development and for post‐mortem brain samples.ConclusionsIn this work, we have developed a 3D ViSTa‐MRF technique that enables the acquisition of whole‐brain MWF, quantitative T1, T2, and PD maps at 1 and 0.66 mm isotropic resolution in 5 and 15 min, respectively. This advancement allows for quantitative investigations of myelination changes in the brain.
Influence of sensory retraining on cortical reorganization in peripheral neuropathy: A systematic review
Authors: Canlı Kübra , Van Oijen Joris , Van Oosterwijck Jessica , Meeus Mira , Van Oosterwijck Sophie , De Meulemeester Kayleigh 
Published: December 2023

AbstractObjectiveThis study systematically reviewed the literature about sensory retraining effect in comparison to other rehabilitative techniques on cortical reorganization in patients with peripheral neuropathic pain.TypeSystematic review.Literature surveyAfter an electronic search of PubMed, Web of Science, and Embase, risk of bias was assessed using the revised Cochrane risk of bias tool for randomized controlled trials and the ROBINS‐1 (Risk of bias in non‐randomized studies‐of interventions) for non‐randomized studies of intervention.MethodologyThe strength of conclusion was determined using the evidence‐based guideline development approach.SynthesisLimited evidence indicates a higher increase in cortical inhibition and a higher reduction in cortical activation during a motor task of the affected hemisphere after graded motor imagery compared to wait‐list. Higher reductions in map volume (total excitability of the cortical representation) of the affected hemisphere after peripheral electrical stimulation (PES) were observed when compared to transcranial direct current stimulation (tDCS) or to sham treatment with limited evidence. No other differences in cortical excitability and representation of the affected and non‐affected hemisphere were observed when comparing mirror therapy with sham therapy or tDCS, PES with sham therapy or tDCS, and graded motor imagery with wait‐list.ConclusionsGraded motor imagery and PES result in higher cortical excitability reductions of the affected hemisphere compared to wait‐list, tDCS and sham treatment, respectively.
A magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation
Authors: Liu Depeng , Li Gang , Wang Shuyuan , Liu Zixuan , Wang Yanzhou , Connolly Laura , Usevitch David E. , Shen Guofeng , Cleary Kevin , Iordachita Iulian 
Published: December 2023

AbstractPurposeThis work presents the design and preliminary validation of a Magnetic Resonance (MR) conditional robot for lumbar injection for the treatment of lower back pain.MethodsThis is a 4‐degree‐of‐freedom (DOF) robot that is 200 × 230 × 130 mm3 in volume and has a mass of 0.8 kg. Its lightweight and compact features allow it to be directly affixed to patient's back, establishing a rigid connection, thus reducing positional errors caused by patient movements during treatment.ResultsTo validate the positioning accuracy of the needle by the robot, an electromagnetic (EM) tracking system and a needle with an EM sensor embedded in the tip were used for the free space evaluation with position accuracy of 0.88 ± 0.46 mm and phantom mock insertions using the Loop‐X CBCT scanner with target position accuracy of 3.62 ± 0.92 mm.ConclusionPreliminary experiments demonstrated that the proposed robot showed improvements and benefits in its rotation range, flexible needle adjustment, and sensor protection compared with previous and existing systems, offering broader clinical applications.
A distributed finite‐time optimization algorithm for directed networks of continuous‐time agents
Authors: Wang Qingling , Wu Wenqiang 
Published: December 2023

AbstractThis article proposes a new distributed finite‐time optimization algorithm for agents under directed graphs. By employing the nonsmooth technique and graph theory, a distributed discontinuous algorithm for continuous‐time agents subject to strongly convex local cost functions is first designed with a finite‐time distributed estimator, where the gradients of the local cost functions are estimated in finite time. It is shown that for a strongly connected graph and arbitrary initial conditions, the proposed algorithms can achieve consensus, and the systems can converge to the optimal point in finite time. Then, a two‐step approach is proposed to achieve finite‐time optimization of high‐order agents with disturbances under directed graphs. Finally, the validity of the proposed finite‐time optimization algorithm is verified by two numerical examples.
In Situ Electrochemical Restructuring B‐Doped Metal–Organic Frameworks as Efficient OER Electrocatalysts for Stable Anion Exchange Membrane Water Electrolysis
Authors: Lin Xuanni , Li Xue , Shi Lei , Ye Fenghui , Liu Feng , Liu Dong 
Published: December 2023

AbstractMetal organic frameworks (MOFs) are promising as effective electrocatalysts toward oxygen evolution reaction (OER). However, the origin of OER activity for MOF‐based electrocatalysts is still unclear because of their structure reconstruction during electrocatalysis process. Here, a novel MOF (B‐MOF‐Zn‐Co) with spherical superstructure is developed by hydrothermal treatment of zeolitic imidazolate framework‐Zn, Co (ZIF‐Zn‐Co) using boric acid. The resultant B‐MOF‐Zn‐Co shows high OER activity with a low overpotential of 362 mV at 100 mA cm−2. Remarkably, B‐MOF‐Zn‐Co displays excellent stability with only 3.6% voltage delay over 300 h at 100 mA cm−2 in alkaline electrolyte. Surprisingly, B‐MOF‐Zn‐Co thoroughly transforms into B‐doped CoOOH (B‐CoOOH) during electrolysis process, which is served as actual active material for high OER electrocatalytic performance. The newly‐formed B‐CoOOH possesses lower energy barrier of potential‐determining step (PDS) for OOH* formation compared with CoOOH, benefiting for high OER activity. More importantly, B‐MOF‐Zn‐Co based anion exchange membrane water electrolytic cell (AEMWE) demonstrates continuously durable operation with stable current density of 200 mA cm−2 over 300 h, illustrating its potential application in practice water electrolysis. This work offers an in situ electrochemical reconstruction strategy for the development of stable and effective OER electrocatalysts toward practice AEMWE.
Tunable Impedance of Cobalt Loaded Carbon for Wide‐Range Electromagnetic Wave Absorption
Authors: Wang Xiaonong , Wang Zhongliao , Xi Dawei , Li Jiayi , Li Xiaoxia , Bai Xiujun , Wang Bin , Low Jingxiang , Xiong Yujie 
Published: December 2023

AbstractImpedance matching modulation of the electromagnetic wave (EMW) absorbers toward broad effective absorption bandwidth (EAB) is the ultimate aim in EMW attenuation applications. Here, a Joule heating strategy is reported for preparation of the Co‐loaded carbon (Co/C) absorber with tunable impedance characteristics. Typically, the size of the Co can be regulated to range from single‐atoms to clusters, and to nanocrystals. The varied sizes of the Co combined with different graphitization degrees of carbon can result in different relative input impedances and electromagnetic loss, leading to the tunable EMW absorption properties of the Co/C absorber. By meticulously coalescing the different prepared Co/C, the working frequency can be easily tuned, covering Ku, X, and C bands. Furthermore, the Co/C demonstrates a high EMW attenuation due to its unique dielectric loss capability and magnetic loss characteristics. The abundant interfaces of Co/C can also contribute to the enhanced interfacial polarization for improving EMW attenuation. This work demonstrates the importance of optimizing the metal and carbon interaction to the impedance matching toward wide EAB of the EMW absorbers.
Piezocatalysis for Chemical–Mechanical Polishing of SiC: Dual Roles of t‐BaTiO3 as a Piezocatalyst and an Abrasive
Authors: Hu Tao , Feng Jinxi , Yan Wen , Tian Shuanghong , Sun Jingxiang , Liu Xiaosheng , Wei Di , Wang Ziming , Yu Yang , Lam Jason Chun‐Ho , Liu Shaorong , Wang Zhong Lin , Xiong Ya 
Published: December 2023

AbstractChemical mechanical polishing (CMP) offers a promising pathway to smooth third‐generation semiconductors. However, it is still a challenge to reduce the use of additional oxidants or/and energy in current CMP processes. Here, a new and green atomically smoothing method: Piezocatalytic‐CMP (Piezo‐CMP) is reported. Investigation shows that the Piezo‐CMP based on tetragonal BaTiO3 (t‐BT) can polish the rough surface of a reaction sintering SiC (RS‐SiC) to the ultra‐smooth surface with an average surface roughness (Ra) of 0.45 nm and the rough surface of a single‐crystal 4H‐SiC to the atomic planarization Si and C surfaces with Ra of 0.120 and 0.157 nm, respectively. In these processes, t‐BT plays a dual role of piezocatalyst and abrasive. That is, it piezo‐catalytically generates in‐situ active oxygen species to selectively oxidize protruding sites of SiC surface, yielding soft SiO2, and subsequently, it acts as a usual abrasive to mechanically remove these SiO2. This mechanism is further confirmed by density functional theory (DFT) calculation and molecular simulation. In this process, piezocatalytic oxidation is driven only by the original pressure and friction force of a conventional polishing process, thus, the piezo‐CMP process do not require any additional oxidant and energy, being a green and effective polishing method.
Enhanced Horizontal Dipole Orientation by Novel Penta‐Helicene Anthracene‐Based Host for Efficient Blue Fluorescent OLEDs
Authors: Kuang Changchun , Li Siqi , Murtaza Imran , Meng Zhimin , Li Hongyang , Zhang Xinkang , Wu Chengcheng , Tong Kai‐Ning , Shang Yifan , He Yaowu , Zhu Yanan , Wei Guodan , Meng Hong 
Published: December 2023

AbstractDue to the relatively low photoluminescence quantum yield (PLQY) and horizontal dipole orientation of doped films, anthracene‐based fluorescent organic light‐emitting diodes (F‐OLEDs) have faced a great challenge to achieve high external quantum efficiency (EQE). Herein, a novel approach is introduced by incorporating penta‐helicene into anthracene, presented as linear‐shaped 3‐(4‐(10‐phenylanthracen‐9‐yl)phenyl)dibenzo[c,g]phenanthrene (BABH) and 3‐(4‐(10‐(naphthalen‐2‐yl)anthracen‐9‐yl)phenyl)dibenzo[c,g]phenanthrene (NABH). These blue hosts exhibit minimal intermolecular overlap of π–π stacking, effectively suppressing excimer formation, which facilitates the effective transfer of singlet energy to the fluorescent dopant for PLQY as high as 90%. Additionally, the as‐obtained two hosts of BABH and NABH have effectively demonstrated major horizontal components transition dipole moments (TDM) and high thermal stability with glass transitional temperature (Tg) surpassing 188 °C, enhancing the horizontal dipole orientation of their doped films to be 89% and 93%, respectively. The OLEDs based on BABH and NABH exhibit excellent EQE of 10.5% and 12.4% at 462 nm and device lifetime up to 90% of the initial luminance over 4500 h at 100 cd m−2, which has firmly established them as among the most efficient blue F‐OLEDs based on anthracene to date to the best knowledge. This work provides an instructive strategy to design an effective host for highly efficient and stable F‐OLEDs.
A National Survey of Collaborative Practices for Secondary Multilingual Learners Designated as English Learners
Authors: Kibler Amanda K. , Lesser Virginia , Palacios Martha Castellón , Sandstead Martha , Wiger Sara , Woodruff Karrie S. , Bovee Jaclyn B. 
Published: December 2023

AbstractCollaborative teaching models serving secondary multilingual learners designated as English Learners (ELs) have become increasingly prominent but remain understudied. This study draws upon an ecological framework and uses quantitative and qualitative survey findings from a national sample of school districts in the United States to investigate the prevalence and use of collaborative practices. The study examines variations in how collaborative models are structured and implemented, as well as how they vary by district characteristics. Findings suggest that collaborative practices are present in many types of districts but are typically more common in larger, urban districts with higher percentages of EL‐designated students. Collaborative practices are more prevalent at middle school (grades 6–8) than high school (grades 9–12) levels but tend to occur across multiple key content areas. In relation to coteaching in particular, findings align with previous research on inequitable status and teaching responsibilities faced by some ESL teachers. District supports for collaboration vary, with professional development more prominent than teacher release time for collaborative planning. Overall, findings indicate that district resources and instructional capacity play important roles in the implementation of collaborative practices, and organizational capacity may influence the status of ESL teachers in these models.
Synthesis, Crystal structure, electronic structure, and Raman spectra of Li4Sr2SiP4
Authors: Daiber Vincent , Zeitz Sabine , Hlukhyy Viktor , Dankert Dominik , Fässler Thomas F. 
Published: December 2023

AbstractRecently, ternary lithium phosphides have been studied intensively owing to their high lithium ion conductivities. During investigations aiming for derivatives with less lithium content the new compound Li4Sr2SiP4 was obtained. It crystallizes in the monoclinic space group P21/m (N°11) with lattice parameters of a=7.2919(8) Å, b=8.3679(6) Å, c=6.9965(8) Å, and β=90.061(9)°. The crystal structure contains isolated [SiP4]8− tetrahedra that are charge balanced by two Sr2+ and four Li+ counter ions. The structure can be derived as a superstructure of the layered CaAl2Si2 structure type comprising a hexagonal closest packing of P atoms and tetrahedral voids filled with Si and Li atoms, whereas octahedral voids are filled with Sr and Li atoms. DFT calculations confirm the structure with ordered atom positions as a global minimum and predict an indirect band gap of 2.23 eV. In addition, the experimental Raman spectrum is in good agreement with the calculated one.
Enablers and Tools for Agile Product Development
Authors: Kaster Thomas , Ackermann Marc , Bailly David , Bold Marie-Noemi , Bremen Thomas , Eberius Thomas , Fu Cailing , Gorißen Leon , Haase Christian , Gries Thomas , Häfner Constantin Leon , Heinigk Christian , Hinke Christian , Hirt Gerhard , Holly Carlo , Kelbel Hannah , Kolter Moritz , Krupp Ulrich , Reitmaier Lisa-Marie , Schleifenbaum Johannes Henrich , Schuh Günther , Schulz Wolfgang , Stöcker Lena , Walderich Philipp , Zarei Omid 
Published: December 2023

AbstractToday’s industrial world is characterized by ever-shortening product development cycles and increasing degrees of product individualization which demand tools and enablers for accelerated prototyping. In addition, the existing uncertainty in the product development cycle should be reduced by involving stakeholders as early as possible. However, should an engineering change request (ECR) be necessary in the product development cycle, a fast iteration step into production is inevitable. The methodological description of such an ECR in the product development cycle is described in the previous chapter. Together with researchers from the Internet of Production (IoP), information from the product development process will be transferred to the digital shadow established in the IoP. The digital shadow collects information from all areas of the product lifecycle and provides it to the appropriate departments, adapted to the corresponding task. To tackle this challenge, a new type of product development process, the method of agile product development, is applied. Within the Enablers and Tools project, the development of various advanced manufacturing technologies (AMTs) for agile product development are at the forefront of the work. The enablers and tools are further developed with the principles of agile product development. They also serve to map the requirements for rapidly available and specific prototypes which are used to answer specific questions that arise during the product development cycle. To answer these questions, the concept of the Minimum Viable Product (MVP), an approach to reduce development time and increase customer satisfaction, is introduced and applied to all development tasks.
Actionable Artificial Intelligence for the Future of Production
Authors: Behery Mohamed , Brauner Philipp , Zhou Hans Aoyang , Uysal Merih Seran , Samsonov Vladimir , Bellgardt Martin , Brillowski Florian , Brockhoff Tobias , Ghahfarokhi Anahita Farhang , Gleim Lars , Gorißen Leon , Grochowski Marco , Henn Thomas , Iacomini Elisa , Kaster Thomas , Koren István , Liebenberg Martin , Reinsch Leon , Tirpitz Liam , Trinh Minh , Posada-Moreno Andres Felipe , Liehner Luca , Schemmer Thomas , Vervier Luisa , Völker Marcus , Walderich Philipp , Zhang Song , Brecher Christian , Schmitt Robert H. , Decker Stefan , Gries Thomas , Häfner Constantin Leon , Herty Michael , Jarke Matthias , Kowalewski Stefan , Kuhlen Torsten W. , Schleifenbaum Johannes Henrich , Trimpe Sebastian , Aalst Wil van der , Ziefle Martina , Lakemeyer Gerhard 
Published: December 2023

AbstractThe Internet of Production (IoP) promises to be the answer to major challenges facing the Industrial Internet of Things (IIoT) and Industry 4.0. The lack of inter-company communication channels and standards, the need for heightened safety in Human Robot Collaboration (HRC) scenarios, and the opacity of data-driven decision support systems are only a few of the challenges we tackle in this chapter. We outline the communication and data exchange within the World Wide Lab (WWL) and autonomous agents that query the WWL which is built on the Digital Shadows (DS). We categorize our approaches into machine level, process level, and overarching principles. This chapter surveys the interdisciplinary work done in each category, presents different applications of the different approaches, and offers actionable items and guidelines for future work.The machine level handles the robots and machines used for production and their interactions with the human workers. It covers low-level robot control and optimization through gray-box models, task-specific motion planning, and optimization through reinforcement learning. In this level, we also examine quality assurance through nonintrusive real-time quality monitoring, defect recognition, and quality prediction. Work on this level also handles confidence, verification, and validation of re-configurable processes and reactive, modular, transparent process models. The process level handles the product life cycle, interoperability, and analysis and optimization of production processes, which is overall attained by analyzing process data and event logs to detect and eliminate bottlenecks and learn new process models. Moreover, this level presents a communication channel between human workers and processes by extracting and formalizing human knowledge into ontology and providing a decision support by reasoning over this information. Overarching principles present a toolbox of omnipresent approaches for data collection, analysis, augmentation, and management, as well as the visualization and explanation of black-box models.