bluuebunny/crossref_metadata_2025_split huggingface dataset:
Additive Manufacturing of Li‐Ion Batteries: A Comparative Study between Electrode Fabrication Processes
Authors: Pinilla Sergio , Ryan Seán , McKeon Lorcan , Lian Meiying , Vaesen Sebastien , Roy Ahin , Schmitt Wolfgang , Coleman Jonathan N. , Nicolosi Valeria 
Published: March 2023

AbstractAdditive manufacturing strategies are gaining more importance in the context of lithium‐ion batteries. The rapid prototyping, reduced waste and complex 3D structures achievable are powerful and attractive tools that are out of the reach of current fabrication techniques. Additionally, thanks to the potential that these manufacturing techniques hold for the fabrication of micro‐energy storage devices, they are gaining increasing attention in the literature. Here, some of the more common additive manufacturing techniques are compared to standard methodologies by systematically evaluating their electrochemical performance and correlating it with the physical changes induced by the printing process. By using LTO/CNT‐based inks, it is observed that the inner arrangement of the conductive additive is significatively altered depending on the technique used and that this has an impact on the rate performance of the device. By using a model that links the capacity‐rate data to the physical properties of the batteries, it is possible to find the limiting factor on the printed electrodes and correlate it with the material arrangement that each technique produces.
Structurally Driven Ultrafast Charge Funneling in Organic Bulk Heterojunction Hole Transport Layer for Efficient Colloidal Quantum Dot Photovoltaics
Authors: Yang Jonghee , Sharma Ashish , Yoon Jung Won , Paritmongkol Watcharaphol , Lee Seungjin , Ahn Hyungju , Lee Wooseop , Song Hochan , Jeong Woo Hyeon , Lee Bo Ram , Ko Seo‐Jin , Ahmadi Mahshid , Sargent Edward H. , Choi Hyosung 
Published: March 2023

AbstractNanoscopic packing structures crucially determine the charge conduction and the consequent functionalities of organic semiconductors including bulk heterojunctions (BHJs), which are dependent on various processing parameters. Today's high‐performance colloidal quantum dot photovoltaics (CQDPVs) employ functional organic semiconductors as a hole transport layer (HTL). However, the processing of those films replicates a protocol dedicated to high‐performance organic PVs, and thus little is known about how to control the molecular packing structures to maximize the hole extraction function of the HTLs. Herein, it is uncovered that the random‐oriented, but closer‐packed BHJ crystallites, constructed by 1,2‐dichlorobenzene (o‐DCB) as a solvent, allow exceptional charge conduction vertically across the film and restrict diffusion‐driven charge transfer process, enabling ultrafast hole funneling from CQD to BHJ to be extracted. As a result, a power conversion efficiency of 13.66% with high photocurrent >34 mA cm−2 is achieved by employing o‐DCB‐processed BHJ HTL, far exceeding the performance of the CQDPV solely employing neat polymer HTL. A charge conduction mechanism associated with the BHJ HTL structure suppressing the bimolecular recombination is proposed. This works not only suggests key principles to control the packing structures of organic HTLs but also opens a new avenue to boost optoelectronic performance.
Superhigh Coulombic Efficiency Lithium–Sulfur Batteries Enabled by In Situ Coating Lithium Sulfide with Polymerizable Electrolyte Additive
Authors: Geng Chuannan , Qu Wenjia , Han Zhiyuan , Wang Li , Lv Wei , Yang Quan‐Hong 
Published: March 2023

AbstractThe polysulfide shuttling and electrode structure destruction caused by heterogeneous conversion reactions are the fundamental causes of the poor reversibility of high‐energy‐density lithium–sulfur (Li–S) batteries. The most direct manifestation is the unsatisfactory low Coulombic efficiency (CE). Herein the importance of CE in evaluating Li–S batteries is highlighted and a remedy is presented for such low efficiencies by in situ coating lithium sulfide (Li2S), as the cathode, with polymerizable electrolyte additives, where trithiocyanuric acid trilithium salt (TTCA‐Li) is employed for a typical demonstration. The involved reaction catalytically decreases the initial overpotential of Li2S, and the produced coating confines the shuttling of lithium polysulfides, thus inhibiting the redistribution of sulfur species and active sulfur loss upon cycling. The prototype full cell where the coated Li2S cathode couples with the Li anode has an extremely high CE of over 99.5%, while, in a Li‐free cell, the Li2S cathode well matches the lithiated silicon anode in a low N/P ratio of 1.2. This approach shows its practicality and generality through a pouch cell demonstration with a practically high Li2S loading and the extension to elemental sulfur‐based batteries by injecting the TTCA‐Li additives into cycling cells.
Challenges of Stable Ion Pathways in Cathode Electrode for All‐Solid‐State Lithium Batteries: A Review
Authors: Huo Sida , Sheng Li , Xue Wendong , Wang Li , Xu Hong , Zhang Hao , Su Ben , Lyu Miaomiao , He Xiangming 
Published: March 2023

AbstractFor energy storage devices, high energy density, high power density, cycle stability, and safety are the development goals. Solid‐state lithium metal batteries, with both safety and high performance, have become a hot topic in recent research. Although each component of these batteries has been studied for decades, and their individual performance has been improved markedly, the performance of their combination is still far less than expected. Without the aid of a liquid electrolyte, the ion pathways within and between solid elements are tortuous or even disconnected, making the cathode development in solid‐state lithium metal batteries more challenging than for those in lithium‐ion batteries with liquid electrolytes. This review focuses on the ion pathways in the cathode for all‐solid‐state lithium batteries with different dimensions, covering their types, characteristics, and challenges. The design and modification methods of the ion pathways, including element doping, coating, composite pathways, and new functional structures, are also discussed.
Versatile Photoelectrocatalysis Strategy Raising Up the Green Production of Hydrogen Peroxide
Authors: Yu Fei‐Yang , Zhou Yun‐Jie , Tan Hua‐Qiao , Li Yang‐Guang , Kang Zhen‐Hui 
Published: March 2023

AbstractH2O2 plays an irreplaceable role in many aspects of human society, such as paper bleaching, medical disinfection, wastewater treatment, organic synthesis, hydrometallurgy and the electronic industry. However, the unsustainability of the current industrial production process of traditional anthraquinone has a serious conflict with the green sustainable development. The photo/electrocatalytic H2O2 production from renewable energy has the advantages of being more economical, low‐carbon and green, and in line with the requirements of energy economy. These catalytic methods of green H2O2 production have played a demonstrative role in the development of many small molecules, contributing to a fundamental understanding of general catalysis and providing a scientific perspective for future new energy cycles. In this review, the authors aim to integrate the reaction process and mechanism of photocatalytic and electrocatalytic H2O2 production, summarize the development and application of photocatalytic and electrocatalytic H2O2 production in recent years, and assess the modern technologies promoted in the process of H2O2 production research, including the development of flux production equipment and reaction coproduction, etc. This review intends to provide a clear logic profile and new directions for the development of H2O2 production, and calls for more researchers to provide more insights into the development of this field.
Modeling and predictive control of nonlinear processes using transfer learning method
Authors: Xiao Ming , Hu Cheng , Wu Zhe 
Published: March 2023

AbstractThis work develops a transfer learning (TL) framework for modeling and predictive control of nonlinear systems using recurrent neural networks (RNNs) with the knowledge obtained in modeling one process transferred to another. Specifically, transfer learning uses a pretrained model developed based on a source domain as the starting point, and adapts the model to a target process with similar configurations. The generalization error for TL‐based RNN (TL‐RNN) is first derived to demonstrate the generalization capability on the target process. The theoretical error bound that depends on model capacity and the discrepancy between source and target domains is then utilized to guide the development of pretrained models for improved model transferability. Subsequently, the TL‐RNN model is utilized as the prediction model in model predictive controller (MPC) for the target process. Finally, the simulation study of chemical reactors via Aspen Plus Dynamics is used to demonstrate the benefits of transfer learning.
Dual effect of TiO2 vacancy on Pd catalyst in acetylene hydrogenation: Boosting performance and capturing reaction heat
Authors: Yang Yanping , Yang Jiarui , Shi Shucheng , Luo Yunhong , Xu Xingjun , Liu Yanan , Li Dianqing , Feng Junting 
Published: March 2023

AbstractSelective acetylene hydrogenation is a strongly exothermic process, easy to cause coking and metal agglomeration, and thus leads to deactivation. In this work, Pd/TiO2 with different oxygen vacancies (Vo) were synthesized by controlling reduction temperature in 300–700°C, in which Pd/TiO2‐HT300 (HT is reduction temperature) possessed the highest Vo content. It was found highly dispersed Pd nanoparticles adjacent to more Vo exhibited enhanced catalytic behavior (near 100% conversion at 55°C with 80% selectivity and turnover frequency of 0.12 s−1) due to hydrogen spillover generation and electron donation originating from Vo sites, confirmed by in situ x‐ray photoelectron spectroscopy, in situ Raman, and H2‐temperature programmed desorption. More importantly, the increasing Vo sites trap the released heat and devote to a decrease of heat accumulation over a single active Pd site, and consequently inhibit Pd agglomeration and polymerization, affirmed by high‐resolution transmission electron microscopy, CO chemisorption, and thermogravimetric analysis.
Cavitation behavior and mixing performance of antisolvent precipitation process in an ultrasonic micromixer
Authors: Liu Zhikai , Yang Mei , Dong Zhengya , Yao Chaoqun , Chen Guangwen 
Published: March 2023

AbstractA facile and robust ultrasonic micromixer was developed to intensify antisolvent precipitation via ultrasonic cavitation. The gas supersaturation created from solvent–antisolvent mixing was found to be a novel driving force which facilitated the generation of cavitation bubbles (CBs). Instead of being attached on the channel wall, numerous CBs translated across the microchannel at a speed up to 1.7 m/s, inducing intense transverse flow over the cross‐section. The unique cavitation behavior enabled rapid mixing (mixing time 15–45 ms at 30 W) of solvent–antisolvent over wide Reynolds number range (70–500) and flow rate ratio (5:1–2:3), providing better operability for antisolvent precipitation. The effects of ultrasonic power, total flow rate, flow rate ratio, and solvent on cavitation behavior and mixing performance were quantitatively studied. Finally, the potential of the ultrasonic micromixer as a new tool for antisolvent precipitation was demonstrated by synthesizing size‐controllable and monodisperse polymeric nanoparticles in a high‐throughput and reproducible manner.
Consequences of delayed care during the COVID‐19 pandemic: Emerging research and new lines of inquiry for human biologists and anthropologists
Authors: van Doren Taylor P. , Brown Ryan A. 
Published: March 2023

AbstractObjectiveResearch regarding ongoing epidemic or pandemic events is often proximate, focusing on the immediate need to understand the epidemiology of the outbreak and the populations at highest risk for negative outcomes. There are other characteristics of pandemics that can only be uncovered after time has passed, and some long‐lasting health consequences may not be directly linked to infection with or disease from the pandemic pathogen itself.MethodsWe discuss the emerging literature on observations delayed care during the COVID‐19 pandemic and the potential population health consequences of this phenomenon in postpandemic years, especially for conditions such as cardiovascular disease, cancer, and reproductive health.ResultsDelayed care has occurred for various conditions since the beginning of the COVID‐19 pandemic, but the drivers for those delays have yet to be thoroughly investigated. While delayed care can be either voluntary or involuntary, the determinants of delayed care often intersect with systemic inequalities that are important to understand for pandemic responses and future preparedness.ConclusionHuman biologists and anthropologists are well poised to lead the research on postpandemic population health consequences of delayed care.
Aromatic Amides: A Smart Backbone toward Isolated Ultralong Bright Blue‐Phosphorescence in Confined Polymeric Films
Authors: Zhang Ke , Peng Ling‐Ya , Liu Xin‐Xin , Xu Xin , Fang Wei‐Hai , Cui Ganglong , Chen Yu‐Zhe , Tung Chen‐Ho , Wu Li‐Zhu 
Published: March 2023

AbstractWe describe an aromatic amide skeleton for manipulation of triplet excited states toward bright long‐lived blue phosphorescence. Spectroscopic studies and theoretical calculations demonstrated that the aromatic amides can promote strong spin‐orbit coupling between (π,π*) and the bridged (n,π*) states, and enable multiple channels to populate the emissive 3(π,π*), as well as facilitate robust hydrogen bonding with polyvinyl alcohol to suppress non‐radiative relaxations. Isolated inherent deep‐blue (0.155, 0.056) to sky‐blue (0.175, 0.232) phosphorescence with high quantum yields (up to 34.7 %) in confined films are achieved. The blue afterglow of the films can last for several seconds and are showcased in information display, anti‐counterfeiting, and white light afterglow. Owing to the high population of 3(π,π*) states, the smart aromatic amide skeleton provides an important molecular design prototype to manipulate triplet excited states for ultralong phosphorescence with various colors.
High strength and light weight polyamide 6/carbon fiber composite foams for electromagnetic interference shielding
Authors: Zhu Nenggui , Jiang Tuanhui , Zeng Xiangbu , Li Shengnan , Shen Chao , Zhang Chun , Gong Wei , He Li 
Published: March 2023

AbstractIn this study, high strength and light weight polyamide 6/carbon fiber (PA6/CF) composite foams were prepared by chemical injection foaming method. The foaming performance, electromagnetic interference (EMI) shielding efficiency total(SET), and mechanical properties of PA6/CF composite foams with different CF contents were investigated. The results show that the shear viscosity and strain hardening behavior obvious increased with the augment of CF content, which helped to PA6/CF composite foams to take the cell structure with smaller size, greater density, and more regular morphology. PA6/CF composite foam with cell size of 56.8 μm, and cell density of 1.81 × 106 cells/cm3 was achieved at 22 wt% CF. Meanwhile, PA6/CF composite foam had good EMI SET, at 22 wt% CF addition. The specific EMI SET of PA6/CF composite foam is 36.6 dB, 27.6% higher than that of solid 26.5 dB, the excellent cell structure helps to improve the EMI SET. In addition, PA6/CF composite foams also had excellent mechanical properties. Therefore, PA6/CF composite foams had broad application prospect in EMI shielding materials field, combining the advantages of simple preparation process, light weight and EMI shielding.
Direct numerical simulation of the distribution of floating microplastic particles in an open channel flow
Authors: Sakai Yoshiyuki , Manhart Michael 
Published: March 2023

AbstractMicroplastic fragments in the aquatic environment constitute a major threat for the health and fitness of organisms. However, our quantitative understanding in the microplastic load in typical natural river systems is severely limited due to the large uncertainties associated with the sources and the pathways of the microplastic contamination. To address this knowledge gap, we performed direct numerical simulations of the dynamics and distribution of microplastic particles in turbulent open channel flow at moderate Reynolds numbers. The particle dynamics is characterised by four nondimensional parameters, namely: Reynolds number of the open channel flow (), nondimensional particle diameter () and Galileo () and Stokes () numbers of the particles of which the latter two include the particle‐fluid density ratio (). To limit our scope to the most relevant configuration, we focused on the distribution of weakly buoyant microplastic particles at , whereas the remaining parameters were adjusted to cover the orders of magnitude that can be found in a typical laboratory facility, as well as a natural river. Our simulation results show that the steady‐state microplastic distribution in the turbulent flow is influenced by the Stokes and the Galileo numbers significantly, which ranges from the complete accumulation on the free surface to the homogeneous distribution, and somewhere in between. Moreover, the Galileo number, alongside the flow Reynolds number, were also shown to influence the temporal scaling of the transient behaviour of the gradual accumulation of the microplastics towards the free surface. Both of our findings highlight the complex nature of the particle–turbulence interactions, and motivate further investigations in this approach.
A new effective method for quantitative estimation of changes in Drosophila fat reserves using magnetic resonance imaging
Authors: Bobrovskikh Мargarita А. , Karpova Еvgenia К. , Khotskina Аnna S. , Deryuzhenko Мaksim А. , Gruntenko Nataly Е. 
Published: March 2023

AbstractMagnetic resonance imaging is one of the promising methods actively used not only in medicine, but in biology as well; it allows for scanning of an object within the span of a few minutes, representing a unique noninvasive and nondestructive research tool. The possibility of using magnetic resonance imaging for the quantitative analysis of fat reserves in Drosophila melanogaster females has been shown. The data obtained demonstrate that quantitative magnetic resonance imaging gives an accurate quantitative assessment of fat stores and allows to effectively evaluate their changes under chronic stress.
Column crossing and lateral transport in numerical weather models
Authors: Rooney Gabriel G. 
Published: March 2023

AbstractTransport in numerical weather models is typically restricted to advection by the resolved wind field, and representation of other flow processes relies on forcing or coupling to other models. A discussion of non‐advective transport in numerical weather models is presented and illustrated using two examples. These are the sea breeze and surface water flow. Simple models of these phenomena are represented in an adapted version of the Met Office Unified Model (UM) by means of modifying the existing cold‐pool scheme in the UM. This approach of incorporating different transport processes in one framework could facilitate a better representation of the Earth system, by increasing interaction between meteorological, surface and subsurface processes.
Entwicklung thermisch‐mechanisch aktivierter Betonbrechsande als Betonzusatzstoff – Projektvorstellung und erste Ergebnisse
Authors: Höffgen Jan P. , Vogel Michael , Blask Oliver , Dehn Frank 
Published: March 2023

AbstractAngesichts des Ressourcenbedarfs der Bauindustrie in Verbindung mit einer immer weiter eingeschränkten Rohstoffverfügbarkeit ist eine effiziente Kreislaufführung von Baustoffen unerlässlich. In der Betonherstellung bedeutet dies bspw. die Verwendung rezyklierter Gesteinskörnungen zum partiellen Austausch der natürlichen Kiese und Sande, wobei Letzteres nur eingeschränkt möglich ist. Da sich bei der Zerkleinerung von Beton poröser hydratisierter Zement in den Feinstoffen anreichert, ist der Einsatz dieser sog. Betonbrechsande als Gesteinskörnung oder als gemahlener Betonzusatzstoff zumeist mit Einbußen bei der Leistungsfähigkeit der Betone verbunden. Vorliegende Versuchsergebnisse zeigen, dass durch eine zusätzliche thermische Aufbereitung hydratisierter Zement aktiviert werden kann, wodurch sich ausgewählte mechanische Eigenschaften sowie bestimmte Dauerhaftigkeitskennwerte (z. B. Widerstand gegen Carbonatisierung und Chlorideintrag) bei der Verwendung als Betonzusatzstoff verbessern lassen. Diese ersten vielversprechenden Ergebnisse gaben Anlass für ein aktuell laufendes Forschungsvorhaben, in dem Einflussfaktoren der thermisch‐mechanischen Aufbereitung von Betonbrechsanden unterschiedlicher Zusammensetzung auf ihre Leistungsfähigkeit als Betonzusatzstoffe eingehend untersucht werden.
N6‐methyladenosine‐modified DBT alleviates lipid accumulation and inhibits tumor progression in clear cell renal cell carcinoma through the ANXA2/YAP axis‐regulated Hippo pathway
Authors: Miao Daojia , Wang Qi , Shi Jian , Lv Qingyang , Tan Diaoyi , Zhao Chuanyi , Xiong Zhiyong , Zhang Xiaoping 
Published: March 2023

AbstractBackgroundThe mechanism of metabolism reprogramming is an unsolved problem in clear cell renal cell carcinoma (ccRCC). Recently, it was discovered that the Hippo pathway altered tumor metabolism and promoted tumor progression. Thus, this study aimed at identifying key regulators of metabolism reprogramming and the Hippo pathway in ccRCC and pinpointing potential therapeutic targets for ccRCC patients.MethodsHippo‐related gene sets and metabolic gene sets were used to screen potential regulators of the Hippo pathway in ccRCC. Public databases and samples from patients were applied to investigate the association of dihydrolipoamide branched chain transacylase E2 (DBT) with ccRCC and Hippo signaling. The role of DBT was confirmed by gain or loss of function assays in vitro and in vivo. Mechanistic results were yielded by luciferase reporter assay, immunoprecipitation, mass spectroscopy, and mutational studies.ResultsDBT was confirmed as a Hippo‐related marker with significant prognostic predictive value, and its downregulation was caused by methyltransferase‐like‐3 (METTL3)‐mediated N6‐methyladenosine (m6A) modification in ccRCC. Functional studies specified DBT as a tumor suppressor for inhibiting tumor progression and correcting the lipid metabolism disorder in ccRCC. Mechanistic findings revealed that annexin A2 (ANXA2) interacted with the lipoyl‐binding domain of DBT to activate Hippo signaling which led to decreased nuclear localization of yes1‐associated transcriptional regulator (YAP) and transcriptional repression of lipogenic genes.ConclusionsThis study demonstrated a tumor‐suppressive role for the DBT/ANXA2/YAP axis‐regulated Hippo signaling and suggested DBT as a potential target for pharmaceutical intervention in ccRCC.