bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchical Porous Metal‐Organic Framework as Biocatalytic Microreactor for Enzymatic Biofuel Cell‐Based Self‐Powered Biosensing of MicroRNA Integrated with Cascade Signal Amplification
Authors: Yan Yongcun , Guo Li , Geng Hongyan , Bi Sai 
Published: April 2023

AbstractEnzymatic biofuel cells have become powerful tools in biosensing, which however generally suffer from the limited loading efficiency as well as low catalytic activity and poor stability of bioenzymes. Herein, the hierarchical porous metal‐organic frameworks (MOFs) are synthesized using tannic acid (TA) for structural etching, which realizes co‐encapsulation of glucose dehydrogenase (GDH) and nicotinamide adenine dinucleotide (NAD+) cofactor in zeolitic imidazolate framework (ZIF‐L) and are further used as the biocatalytic microreactors to modify bioanode. In this work, the TA‐controlled etching can not only expand the pore size of microreactors, but also achieve the reorientation of enzymes in their lower surface energy form, therefore enhancing the biocatalysis of cofactor‐dependent enzyme. Meanwhile, the topological DNA tetrahedron is assembled on the microreactors, which acts as the microRNA‐responsive “lock” to perform the cascade signal amplification of exonuclease III‐assisted target recycling on bioanode and hybridization chain reaction (HCR) on biocathode. The proposed self‐powered biosensor has achieved a detection limit as low as 2 aM (6 copies miRNA‐21 in a 5 µL of sample), which is further successfully applied to identify cancer cells and clinical serums of breast cancer patients based on the different levels of miRNA‐21, holding great potential in accurate disease identification and clinical diagnosis.
2D Cobalt Chalcogenide Heteronanostructures Enable Efficient Alkaline Hydrogen Evolution Reaction
Authors: Sun Changchun , Wang Chao , Xie Haijiao , Han Guangting , Zhang Yuanming , Zhao Haiguang 
Published: April 2023

AbstractThe development of high‐efficiency non‐precious metal electrocatalysts for alkaline electrolyte hydrogen evolution reactions (HER) is of great significance in energy conversion to overcome the limited supply of fossil fuels and carbon emission. Here, a highly active electrocatalyst is presented for hydrogen production, consisting of 2D CoSe2/Co3S4heterostructured nanosheets along Co3O4nanofibers. The different reaction rate between the ion exchange reaction and redox reaction leads to the heterogeneous volume swelling, promoting the growth of 2D structure. The 2D/1D heteronanostructures enable the improved the electrochemical active area, the number of active sites, and more favorable H binding energy compared to individual cobalt chalcogenides. The roles of the different composition of the heterojunction are investigated, and the electrocatalysts based on the CoSe2/Co3S4@Co3O4exhibited an overpotential as low as 165 mV for 10 mA cm−2and 393 mV for 200 mA cm−2in 1 mKOH electrolyte. The as‐prepared electrocatalysts remained active after 55 h operation without any significant decrease, indicating the excellent long‐term operation stability of the electrode. The Faradaic efficiency of hydrogen production is close to 100% at different voltages. This work provides a new design strategy toward Co‐based catalysts for efficient alkaline HER.
Piezoelectric biomaterials for neural tissue engineering
Authors: Xu Dongyu , Zhang Hui , Wang Yu , Zhang Yuan , Ye Fanglei , Lu Ling , Chai Renjie 
Published: April 2023

AbstractNerve injury caused by trauma or iatrogenic trauma can lead to loss of sensory and motor function, resulting in paralysis of patients. Inspired by endogenous bioelectricity and extracellular matrix, various external physical and chemical stimuli have been introduced to treat nerve injury. Benefiting from the self‐power feature and great biocompatibility, piezoelectric biomaterials have attracted widespread attention in biomedical applications, especially in neural tissue engineering. Here, we provide an overview of the development of piezoelectric biomaterials for neural tissue engineering. First, several types of piezoelectric biomaterials are introduced, including inorganic piezoelectric nanomaterials, organic piezoelectric polymers, and their derivates. Then, we focus on the in vitro and in vivo external energy‐driven piezoelectric effects involving ultrasound, mechanical movement, and other external field‐driven piezoelectric effects. Neuroengineering applications of the piezoelectric biomaterials as in vivo grafts for the treatment of central nerve injury and peripheral nerve injury are also discussed and highlighted. Finally, the current challenges and future development of piezoelectric biomaterials for promoting nerve regeneration and treating neurological diseases are presented.
CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics
Authors: Feizpour Elham , Tahayori Hooman , Sami Ashkan 
Published: April 2023

AbstractSoftware development effort estimation (SDEE) is a critical activity in developing software. Accurate effort estimation in the early phases of software design life cycle has important effects on the success of software projects. COCOMO (Constructive Cost Model) is a parametric data‐driven SDEE model whose parameters must be calibrated with an organization's local data for accurate estimation. Such data are scarce for most organizations. On the other hand, CoBRA (Cost estimation, Benchmarking, and Risk Assessment) is one of the powerful hybrid methods that need a small number of local historical data for effort estimation. However, data gathering in CoBRA is time‐consuming and costly. To ease the use of CoBRA, in this paper, we design a methodology that extracts CoBRA‐required data from COCOMO datasets. By the proposed method, data collected for COCOMO would be used in CoBRA. Using CoBRA, a more accurate estimation of the required effort would be achieved with fewer number of historical data than what is required to calibrate the COCOMO model. We apply the proposed method on six well‐known public COCOMO datasets and use them in CoBRA. Obtained results depict an increase in the accuracy of estimations in comparison with other existing methods.
In Situ Insight into the Interfacial Dynamics in “Water‐in‐Salt” Electrolyte‐Based Aqueous Zinc Batteries
Authors: Wang Jiao , Tian Jian‐Xin , Liu Gui‐Xian , Shen Zhen‐Zhen , Wen Rui 
Published: April 2023

AbstractWater‐in‐salt (WIS) electrolyte is considered as one of most promising systems for aqueous zinc batteries (AZBs) due to its dendrite‐free plating/stripping with nearly 100% Coulombic efficiency. However, the understanding of the interfacial mechanisms remains elusive, which is crucial for further improvements in battery performance. Herein, the interfacial processes of solid electrolyte interphase (SEI) formation and subsequent Zn plating/stripping are monitored by in situ atomic force microscopy and in situ optical microscopy. The live formation of uniform and compact LiF‐rich SEI in WIS systems could induce the uniform hexagonal Zn deposition with preferential orientation growth in the (002) crystal plane, showing excellent plating/stripping reversibility. In contrast, the SEI formed in 1 m zinc bis(trifluoromethylsulfonyl)imide (Zn(TFSI)2) is uneven and rich in inert ZnO, adversely triggering the dendrite propagation and successive “dead” Zn accumulation in repeated deposition/dissolution cycles. This work provides an in‐depth understanding of the relationship between SEI evolution and Zn‐deposited behaviors in AZBs, possibly stimulating more research on rational composition design and structural optimization of solid/liquid interface for advanced rechargeable aqueous multivalent‐ion batteries.
Acid Autocatalysis Best Served Hot: The Chlorate–Sulfite–Gluconolactone System as a Thermochemical Clock
Authors: Kürsteiner Ronny , Panzarasa Guido 
Published: April 2023

AbstractThe front cover artwork is provided by Guido Panzarasa (ETH Zürich). The image shows an artistic impression of the autonomous, time‐programmable temperature increase alongside acid generation in the chlorate‐sulfite‐gluconolactone reaction network. Read the full text of the Research Article at 10.1002/syst.202200042.
Interferential therapy for chronic constipation in adults: The CON‐COUR randomizedcontrolled trial
Authors: Vitton Veronique , Mion François , Leroi Anne‐Marie , Brochard Charlène , Coffin Benoit , Zerbib Frank , Damon Henri , Melchior Chloé , Duboc Henri , Queralto Michel , Baumstarck Karine 
Published: April 2023

AbstractBackgroundChronic constipation (CC) is a frequent condition, and the first‐line treatment includes dietary rules, the use of laxatives, and biofeedback for evacuation disorders. However, almost half of the patients are dissatisfied with their current treatment. We report the first double‐blind randomized multicenter trial assessing the effectiveness of transabdominal electrical stimulation by interferential therapy (IFT) in the treatment of CC in adults.MethodsA prospective, multicenter, randomized, double‐blind, sham‐controlled, parallel‐group, phase 3 trial was conducted at 7 centers in France. The primary endpoint was 8‐week efficacy as defined by the number of complete spontaneous bowel movements during the last 4 weeks of the 8‐week stimulation period. Secondary endpoints included the evaluation of the effects of IFT on symptoms (Patient Assessment of Constipation Symptoms questionnair (PAC‐SYM)), quality of life (QOL) (Patient Assessment of Constipation Quality of Life), Colonic transit time (CTT), anorectal manometry, and patient satisfaction.ResultsThe proportion of 8‐week responders was not significantly different between the two groups (73.2% in the IFT group vs. 67.1% in the sham group). After 8 weeks of stimulation, the mean overall PAC‐SYM score and the mean reduction in the overall PAC‐SYM score were significantly greater in the IFT group than in the sham group. No differences were observed concerning CTT, anorectal manometry, or patient satisfaction.ConclusionsAlthough the primary endpoint was not reached, IFT can significantly alleviate the symptoms and improve the QOL of CC patients. It can be assumed that new treatments require different modes of evaluation and that the assessment of patient‐reported outcomes may become a priority among therapeutic targets of CC.Trial registration number NCT02381665.
Normal and abnormal appearance of fetal ganglionic eminence on second‐trimester three‐dimensional ultrasound
Authors: Contro E. , Volpe N. , Larcher L. , Dall'Asta A. , Penas Da Costa M. A. , Vairo G. , Di Pasquo E. , Giorgini I. , Ghi T. 
Published: April 2023

ABSTRACTObjectivesTo describe the appearance and size of the ganglionic eminence (GE) in normal fetuses on midtrimester three‐dimensional (3D) neurosonography and to report on the association between GE alterations (cavitation or enlargement) and malformation of cortical development (MCD).MethodsThis was a prospective multicenter cohort study of normal fetuses and a retrospective analysis of pathological cases with MCD. From January 2022 to June 2022, patients attending our tertiary centers for an expert fetal brain scan were recruited for the purpose of the study. A 3D volume of the fetal head, starting from the sagittal plane, was acquired in apparently normal fetuses using a transabdominal or transvaginal approach. Stored volume datasets were then evaluated independently by two expert operators. Two measurements (longitudinal diameter and transverse diameter) of the GE in the coronal view were obtained twice by each operator. Intra‐ and interobserver measurement variation was calculated. Reference ranges for GE measurements were calculated in the normal population. A previously stored volume dataset of 60 cases with MCD was also analyzed independently by the two operators using the same method in order to assess if GE abnormalities (cavitation or enlargement) were present. Postnatal follow‐up was obtained in all cases.ResultsIn the study period, 160 normal fetuses between 19 and 22 weeks of gestation were included in the study. The GE was visible in the coronal plane on 3D neurosonography in 144 (90%) cases and was not clearly visible in the remaining 16 (10%) cases. The intra‐ and interobserver agreement was almost perfect for the longitudinal diameter, with an intraclass correlation coefficient (ICC) of 0.90 (95% CI, 0.83–0.93) and 0.90 (95% CI, 0.86–0.92), respectively, and substantial for the transverse diameter, with an ICC of 0.80 (95% CI, 0.70–0.87) and 0.64 (95% CI, 0.53–0.72), respectively. A retrospective analysis of 50 cases with MCD in the second trimester showed that GE enlargement was present in 12 cases and GE cavitation was present in four cases.ConclusionsSystematic assessment of the GE in fetuses at 19–22 weeks of gestation is feasible on 3D neurosonography, with good reproducibility in normal cases. Cavitation or enlargement of the GE can be demonstrated in fetuses with MCD. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Work-Based Learning in the Mexican Automotive Sector
Authors: Senderek Roman 
Published: April 2023

AbstractA stronger work orientation or even the integration of learning into activities will be one of the central basic requirements for the success of Industry 4.0. Using the example of the project E-Mas (Exporting blended vocational education and training for industrial process design and optimization into the Mexican automotive sector), the paper discusses the development and implementation of a highly work oriented further education program. Together the partners Research Institute for Industrial Management at RWTH Aachen University e.V. [FIR], MTM ASSOCIATION e.V. [MTMA], WBA Aachener Werkzeugbau Akademie GmbH [WBA] in cooperation with the Mexican Instituto Tecnológico y de Estudios Superiores de Monterrey [ITESM] pursue the goal of designing and exporting innovative further education programs for skilled workers, developers, and operative management personnel of the Mexican automotive sector and especially German companies operating in Mexico.
Capacity Building for Digital Work – A Case from Sino-German Cooperation
Authors: Kimmig Andreas , Peng Jieyang , Ovtcharova Jivka 
Published: April 2023

AbstractThe way humans work is constantly changing. This has always been the case, especially in dynamic environments. In the context of Industry 4.0 and the Internet of Things (IoT), collaborative platforms, accelerated by Artificial Intelligence (AI) technologies, give rise to new automation opportunities of complex and previously labor-intensive tasks, while also creating new business models for multiple stakeholders.Due to accelerated product innovation, the manufacturing industry needs to be able to generate solutions in a timely manner and quickly move them into production according to customer expectations. Today, machines in an Industry 4.0 factory are collaboratively connected. Such a development requires the application of advanced predictive tools that can systematically transform requirements and data into information and ultimately knowledge to manage uncertainties and make informed ad hoc decisions. In this context, a production system needs to perform rapid self-reconfiguration in response to different product characteristics to achieve an agile transition to the new manufacturing processes. However, a large number of non-standardized device interfaces and communication protocols are currently existing on the shop floor, which leads to high time and capital costs. Furthermore, this leads to insufficient reliability in the configuration of the production system, so that the requirements for customization and rapid adaptation cannot be met. In addition, there is also a large knowledge gap in the academic field of self-configurable intelligent production systems using collaborative engineering and IoT platforms.Therefore, Karlsruhe Institute of Technology (KIT, Germany) and Tongji University (Shanghai, People´s Republic of China) have proposed the collaborative “Construction, Reference Implementation and Verification Platform of Reconfigurable Intelligent Production Systems” and the “Factory Automation Platform”, which meets the challenges of self-configuration, agile response, accumulation of domain knowledge and services, intelligent operation and maintenance of production systems.
Measuring the Impact of Artificial Intelligence and Robotics on the Workplace
Authors: Staneva Mila , Elliott Stuart 
Published: April 2023

AbstractUnderstanding how AI and robotics impact the workplace is fundamental for understanding the broader impact of these technologies on the economy and society. It can also help in developing realistic scenarios about how jobs and skill demand will be redefined in the next decades and how education systems should evolve in response. This chapter provides a literature review of studies that aim at measuring the extent to which AI and robotics can automate work. The chapter presents five assessment approaches: 1) an approach that focuses on occupational tasks and analyzes whether these tasks can be automated; 2) an approach that draws on information from patents to assess computer capabilities; 3) indicators that use AI-related job postings as a proxy for AI deployment in firms; 4) measures relying on benchmarks from computer science; 5) and an approach that compares computer capabilities to human skills using standardized tests developed for humans. The chapter discusses the differences between these measurement approaches and assesses their strengths and weaknesses. It concludes by formulating recommendations for future work.
Digital Work in Smart Production Systems
Authors: Deuse Jochen , Wöstmann René , Weßkamp Vanessa , Wagstyl David , Rieger Christoph 
Published: April 2023

AbstractOn the one hand, Industry 4.0 provides possibilities to address arising challenges such as globalisation, individualisation and shortening product lifecycles. On the other hand, it also increases changes and challenges in planning and operation processes of production systems.The paper discusses the changes in digital work in the areas of planning, operating and improving smart production systems. Current research approaches show that especially in planning processes and supportive tasks a high dynamic is evident, but also the work on the shop floor is changing. Automation technology and intelligent algorithms as a base for production planning and control up to factory-as-a-service concepts reduce operational room for manual actions, but require new digital planning, implementation and maintenance tasks. Furthermore, technologies like cobots enable new forms of flexible coexistence between human and machine in production systems. Due to the increasing complexity of products and production systems, conventional improvement approaches from the fields of Lean Management and Six Sigma are reaching their limits, as the analyses are often limited to simple relationships and correlations. Data science in the industrial environment enables new opportunities to analyse large volumes of data to identify multivariate patterns and correlations. All of this leads to new requirements for competences, roles and work organisation.
Particle-dimer approach for the Roper resonance in a finite volume
Authors: Severt Daniel , Mai Maxim , Meißner Ulf-G. 
Published: April 2023

Abstract
We propose a new finite-volume approach which implements two- and three-body dynamics in a transparent way based on an Effective Field Theory Lagrangian. The formalism utilizes a particle-dimer picture and formulates the quantization conditions based on the self-energy of the decaying particle. The formalism is studied for the case of the Roper resonance, using input from lattice QCD and phenomenology. Finally, finite-volume energy eigenvalues are predicted and compared to existing results of lattice QCD calculations. This crucially provides initial guidance on the necessary level of precision for the finite-volume spectrum.
Asymptotics in an asymptotic CFT
Authors: Schepers Lucas , Thompson Daniel C. 
Published: April 2023

Abstract
In this work we illustrate the resurgent structure of the λ-deformation; a two-dimensional integrable quantum field theory that has an RG flow with an SU(N)k Wess-Zumino-Witten conformal fixed point in the UV. To do so we use modern matched asymptotic techniques applied to the thermodynamic Bethe ansatz formulation to compute the free energy to 38 perturbative orders in an expansion of large applied chemical potential. We find numerical evidence for factorial asymptotic behaviour with both alternating and non-alternating character which we match to an analytic expression. A curiosity of the system is that the leading non-alternating factorial growth vanishing when k divides N. The ambiguities associated to Borel resummation of this series are suggestive of non-perturbative contributions. This is verified with an analytic study of the TBA system demonstrating a cancellation between perturbative and non-perturbative ambiguities.
Limiting FCNC induced by a CP symmetry of order 4
Authors: Zhao Duanyang , Ivanov Igor P. , Pasechnik Roman , Zhang Pengming 
Published: April 2023

Abstract
CP4 3HDM is a three-Higgs-doublet model based on the CP symmetry of order 4 (CP4). Imposing CP4 leads to remarkable connections between the scalar and Yukawa sectors and unavoidably generates tree-level flavor-changing neutral couplings (FCNC). It remains unclear whether FCNC can be sufficiently suppressed in the CP4 3HDM. In this paper, we systematically explore this issue. We first develop an efficient scanning procedure which takes the quark masses and mixing as input and expresses the FCNC matrices in terms of physical quark observables and quark rotation parameters. This procedure allows us to explore the FCNC effects for all the Yukawa sectors possible within the CP4 3HDM. We find that, out of the eight possible CP4 Yukawa sectors, only two scenarios are compatible with the K, B, Bs and, in particular, D-meson oscillation constraints. The results of this work serve as clear guidelines for future phenomenological scans of the model.
On the Commutativity of States in von Neumann Algebras
Authors: Łuczak Andrzej 
Published: April 2023

AbstractThe notion of commutativity of two normal states on a von Neumann algebra was defined some time ago by means of the Pedersen–Takesaki theorem. In this note, we aim at generalising this notion to an arbitrary number of states, and obtaining some results on so defined joint commutativity. Also relations between commutativity and broadcastability of states are investigated.