bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual‐Band Terahertz Metamaterial Absorber Based on LC Resonance and Dipolar Response and Its Applications
Authors: Teber Ahmet 
Published: December 2023

AbstractThis study presents a new dual‐band terahertz absorber (DBTA) with ease of production consisting of a metallic base plane of a certain thickness, a dielectric layer on this plane, and a hexagonal metallic metasurface structure. The proposed absorber exhibits absorption band peaks above 99% at two distinct frequencies (7.51 and 8.08 THz). The absorption origin is explained as a dual‐band response using the LC resonance and dipolar response. In this way, the presented absorber facilitates production by improving absorption responses with a much simpler structure, unlike studies with complex geometries. The proposed dual‐band absorber results in sensitivity to the polarization of the incident light. Thus, it also makes the proposed structure very helpful for manipulating wave polarization and detecting waves with particular polarization. The hexagonal structure of the absorber is scaled to millimeter dimensions, and its transformation into another dual‐band absorber that can also operate in microwave frequency regions. Similarly, the hexagonal structure is transformed into a circular structure with the same geometric dimensions, and a different dual‐band absorber is obtained in the terahertz (THz) region. Moreover, the proposed concept can be extended for various applications such as bolometric sensing, thermal imaging, energy harvesting, sensing, and selective thermal emitters.
Restoring the Function of Thalamocortical Circuit Through Correcting Thalamic Kv3.2 Channelopathy Normalizes Fear Extinction Impairments in a PTSD Mouse Model
Authors: Xiao Haoxiang , Xi Kaiwen , Wang Kaifang , Zhou Yongsheng , Dong Baowen , Xie Jinyi , Xie Yuqiao , Zhang Haifeng , Ma Guaiguai , Wang Wenting , Feng Dayun , Guo Baolin , Wu Shengxi 
Published: December 2023

AbstractImpaired extinction of fear memory is one of the most common symptoms in post‐traumatic stress disorder (PTSD), with limited therapeutic strategies due to the poor understanding of its underlying neural substrates. In this study, functional screening is performed and identified hyperactivity in the mediodorsal thalamic nucleus (MD) during fear extinction. Furthermore, the encoding patterns of the hyperactivated MD is investigated during persistent fear responses using multiple machine learning algorithms. The anterior cingulate cortex (ACC) is also identified as a functional downstream region of the MD that mediates the extinction of fear memory. The thalamocortical circuit is comprehensively analyzed and found that the MD‐ACC parvalbumin interneurons circuit is preferentially enhanced in PTSD mice, disrupting the local excitatory and inhibitory balance. It is found that decreased phosphorylation of the Kv3.2 channel contributed to the hyperactivated MD, primarily to the malfunctioning thalamocortical circuit. Using a lipid nanoparticle‐based RNA therapy strategy, channelopathy is corrected via a methoxylated siRNA targeting the protein phosphatase 6 catalytic subunit and restored fear memory extinction in PTSD mice. These findings highlight the function of the thalamocortical circuit in PTSD‐related impaired extinction of fear memory and provide therapeutic insights into Kv3.2‐targeted RNA therapy for PTSD.
CoVO3 High‐Pressure Polymorphs: To Order or Not to Order?
Authors: Solana‐Madruga Elena , Mentré Olivier , Tsirlin Alexander A. , Huvé Marielle , Khalyavin Dmitry , Ritter Clemens , Arévalo‐López Angel Moisés 
Published: December 2023

AbstractMaterials properties are determined by their compositions and structures. In ABO3 oxides different cation orderings lead to mainly perovskite‐ or corundum like derivatives with exciting physical properties. Sometimes, a material can be stabilized in more than one structural modification, providing a unique opportunity to explore structure‐properties relationship. Here, CoVO3 obtained in both ilmenite‐(CoVO3‐I) and LiNbO3‐type (CoVO3‐II) polymorphs at moderate (8–12 GPa) and high pressures (22 GPa), respectively are presented. Their distinctive cation distributions affect drastically the magnetic properties as CoVO3‐II shows a cluster‐glass behavior while CoVO3‐I hosts a honeycomb zigzag magnetic structure in the cobalt network. First principles calculations show that the influence of vanadium is crucial for CoVO3‐I, although it is previously considered as non‐magnetic in a dimerized spin‐singlet state. Contrarily, CoVO3‐II shows two independent interpenetrating antiferromagnetic Co‐ and ferromagnetic V‐hcp sublattices, which intrinsically frustrate any possible magnetic order. CoVO3‐II is also remarkable as the first oxide crystallizing with the LiNbO3‐type structure where both metals contain free d electrons. CoVO3 polymorphs pinpoint therefore as well to a much broader phase field of high‐pressure A‐site Cobaltites.
Versatile Deposition of Complex Colloidal Assemblies from the Evaporation of Hanging Drops
Authors: Vialetto Jacopo , Gaichies Théophile , Rudiuk Sergii , Morel Mathieu , Baigl Damien 
Published: December 2023

AbstractExisting strategies designed to produce ordered arrangements of colloidal particles on solid supports are of great interest for their wide range of applications, from colloidal lithography, plasmonic and biomimetic surfaces to tags for anti‐counterfeiting, but they all share various degrees of complexity hampering their facile implementation. Here, a drastically simplified methodology is presented to achieve ordered particle deposition, consisting in adding micromolar amounts of cationic surfactant to a colloidal suspension drop and let it evaporate in an upside‐down configuration. Confinement at the air/water interface enables particle assembly into monolayers, which are then transferred on the substrate producing highly ordered structures displaying vivid, orientation‐dependent structural colors. The method is compatible with many particle types and substrates, while controlling system parameters allows tuning the deposit size and morphology, from monocrystals to polycrystalline disks and “irises”, from single‐component to crystal alloys with Moiré patterns, demonstrating its practicality for a variety of processes.
Interface Engineering for 3D Printed Energy Storage Materials and Devices
Authors: Bai Jiaxuan , Li Haojie , Vivegananthan Priyanka , Tian Xiaocong , Dong Yifan , Sun Jian , Dai Zhigao , Zhou Kun 
Published: December 2023

Abstract3D printed energy storage materials and devices (3DP‐ESMDs) have become an emerging and cutting‐edge research branch in advanced energy fields. To achieve satisfactory electrochemical performance, energy storage interfaces play a decisive role in burgeoning ESMD‐based 3D printing. Hence, it is imperative to develop effective interface engineering routes toward desirable 3DP‐ESMDs. In this tutorial review, recent advances in interface engineering for 3DP‐ESMDs are comprehensively provided and in‐depth discussion is offered. To begin with, basic interface engineering principles are introduced. Critical interface engineering strategies including 3D printing‐enabled structural design, composition modification, protective layer design, and 3D printed device optimization are then summarized and illustrated, accompanied by a discussion of pioneering work on 3D printed rechargeable batteries and electrochemical capacitors that has been made through significant interface engineering strategies. Finally, perspectives on interface engineering approaches in future 3DP‐ESMDs are presented.
Rationalizing Performance Losses of Wide Bandgap Perovskite Solar Cells Evident in Data from the Perovskite Database
Authors: Suchan Klara , Jacobsson T. Jesper , Rehermann Carolin , Unger Eva L. , Kirchartz Thomas , Wolff Christian M. 
Published: December 2023

AbstractMetal halide perovskites (MHPs) have become a widely studied class of semiconductors for various optoelectronic devices. The possibility to tune their bandgap (Eg) over a broad spectral range from 1.2 eV to 3 eV by compositional engineering makes them particularly attractive for light emitting devices and multi‐junction solar cells. In this metadata study, data from Peer‐reviewed publications available in the Perovskite Database (www.perovskitedatabase.com) is used to evaluate the current state of Eg tuning in wide Eg MHP semiconductors. Recent literature on wide Eg MHP semiconductors is examined and the data is extracted and uploaded onto the Perovskite Database. Beyond describing recent highlights and scientific breakthroughs, general trends are drawn from 45,000 individual experimental datasets of MHP solar cell devices. The historical evolution of MHP solar cells is recapitulated, and general conclusions are drawn about the current limits of device performance. Three dominant causes are identified and discussed for the degradation of performance relative to the Shockley‐Queisser (SQ) model's theoretical limit for single‐junction solar cells: 1) energetically mismatched selective transport materials for wide Eg MHPs, 2) lower optoelectronic quality of wide Eg MHP absorbers, and 3) dynamically evolving compositional heterogeneity due to light‐induced phase segregation phenomena.
Critical Problems and Modification Strategies of Realizing High‐Voltage LiCoO2 Cathode from Electrolyte Engineering
Authors: Sun Zhaoyu , Zhao Jingwei , Zhu Min , Liu Jun 
Published: December 2023

AbstractAs the pursuit of greater energy density for the portable battery has stimulated exhaustive research in high‐voltage lithium‐ion batteries (LIBs), developing electrolyte additives is considered a cost‐efficient way to improve the performance of the battery. Here, the three interactional issues of LiCoO2 (LCO) batteries in commercial electrolytes at high voltage are summarized, this review first identifies an unavoidable vicious cycle of the commercial electrolyte at high voltage. LCO/electrolyte interphase break, dissolution of transition metal (TM) ions, and formation of harmful HF accelerate the failing progress of the commercial electrolyte at high voltage, besides the malfunction of anode happens at the same time because of electrode crosstalk. Then, the modification of the commercial electrolyte is summarized according to the solutions of this vicious cycle. Last, a framework for future research on high‐voltage LCO batteries is outlined.
Recent Advances and Future Perspectives of Transition Metal‐Supported Carbon with Different Dimensions for Highly Efficient Electrochemical Hydrogen Peroxide Preparation
Authors: Yan Ying‐Yun , Niu Wen‐Jun , Zhao Wei‐Wei , Li Ru‐Ji , Feng Er‐Peng , Yu Bing‐Xin , Chu Bai‐Kun , Cai Chen‐Yu 
Published: December 2023

AbstractElectrocatalytic oxygen reduction to hydrogen peroxide (H2O2) is one of the most promising methods to replace the conventional anthraquinone route for the green and facile synthesis of H2O2. Owing to the outstanding electrochemical active surface area and fast charge transfer capability of carbon nanomaterials or nanostructures with different dimensions, such as 1D, 2D, and 3D, various strategies including nanostructure engineering, defect engineering, and interface engineering have been proposed to promote the catalytic activity of carbon‐based catalysts toward two‐electron (2e−) oxygen reduction reaction (ORR) for H2O2 generation over the past decade. In this review, the latest progress, major achievements, and prospects of the transition metal‐supported carbon with different dimensions for highly efficient electrochemical H2O2 preparation via the 2e− ORR process are summarized. The rational design principles and synthetic strategies of transition metal‐supported carbon are systematically introduced while the representative advances, the identification of active sites, and their possible catalytic mechanisms toward the H2O2 production are discussed. Finally, according to the current development stage and existing shortcomings of 2e– ORR catalysts for H2O2 production, the challenges and prospects of transition metal‐supported carbon with different dimensions are also summarized.
Ultrathin All‐Inorganic Halide Solid‐State Electrolyte Membranes for All‐Solid‐State Li‐Ion Batteries
Authors: Wang Shuhao , Liao Yaqi , Li Shiya , Cui Can , Liang Jianing , Du Gaofeng , Tong Zhaoming , Yuan Lixia , Zhai Tianyou , Li Huiqiao 
Published: December 2023

AbstractReducing the thickness of inorganic solid‐state electrolytes (SSEs) can improve both the gravimetric/volumetric energy density due to the decreased weight/thickness of the cells. Unfortunately, the thickness of inorganic SSEs by the powder‐pressing method is 500–1000 µm, which brings large internal resistance. In this work, an ultrathin SSE membrane is prepared via a simple solution‐infusion method using a ZrO2 nanowire as the skeleton and Li3InCl6 as the Li‐ion conductor. This membrane can be self‐standing with a minimum thickness of 25 µm, less than 1/20 in thickness of that electrolyte by the powder‐pressing method. Attributed to a high Li3InCl6 loading, the membrane remains a high conductivity. When used as the electrolyte in solid cells, such the membrane can enable a much‐reduced resistance compared to the traditional SSE layer. Due to the fact that the electrolyte membrane does not contain any organic components, it exhibits good thermal stability. Benefiting from the soft nature of the halide SSEs, the membrane, without any modification, can close contact with the composite cathode. The LiNi0.8Co0.1Mn0.1O2/LiIn cell exhibits a high reversible capacity and the capacity retention is above 80% after 200 cycles.
Nanoparticle transport in biomimetic polymer‐linked emulsions
Authors: Keane Daniel P. , Constantine Colby J. , Mellor Matthew D. , Poling‐Skutvik Ryan 
Published: December 2023

AbstractThe ability of nanoparticles to penetrate and transport through soft tissues is essential to delivering therapeutics to treat diseases or signaling agents for advanced imaging and sensing. Nanoparticle transport in biological systems, however, is challenging to predict and control due to the physicochemical complexity of tissues and biological fluids. Here, we demonstrate that nanoparticles suspended in a novel class of soft matter—polymer‐linked emulsions (PLEs)—exhibit characteristics essential for mimicking transport in biological systems, including subdiffusive dynamics, non‐Gaussian displacement distributions, and decoupling of dynamics from material viscoelasticity. Using multiple particle tracking, we identify the physical mechanisms underlying this behavior, which we attribute to a coupling of nanoparticle dynamics to fluctuations in the local network of polymer‐linked droplets. Our findings demonstrate the potential of PLEs to serve as fully synthetic mimics of biological transport.
Data‐driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large‐scale nonlinear processes
Authors: Li Xiaojie , Bo Song , Zhang Xuewen , Qin Yan , Yin Xunyuan 
Published: December 2023

AbstractIn this article, we consider a state estimation problem for large‐scale nonlinear processes in the absence of first‐principles process models. By exploiting process operation data, both process modeling and state estimation design are addressed within a distributed framework. By leveraging the Koopman operator concept, a parallel subsystem modeling approach is proposed to establish interactive linear subsystem process models in higher‐dimensional subspaces, each of which correlates with the original nonlinear subspace of the corresponding process subsystem via a nonlinear mapping. The data‐driven linear subsystem models can be used to collaboratively characterize and predict the dynamical behaviors of the entire nonlinear process. Based on the established subsystem models, local state estimators that can explicitly handle process operation constraints are designed using moving horizon estimation. The local estimators are integrated via information exchange to form a distributed estimation scheme, which provides estimates of the unmeasured/unmeasurable state variables of the original nonlinear process in a linear manner. The proposed framework is applied to a chemical process and an agro‐hydrological process to illustrate its effectiveness and applicability. Good open‐loop predictability of the linear subsystem models is confirmed, and accurate estimates of the process states are obtained without requiring a first‐principles process model.
Flood susceptibility mapping at the country scale using machine learning approaches
Authors: Dawson Geoffrey , Butt Junaid , Jones Anne , Fraccaro Paolo 
Published: December 2023

AbstractRiver (fluvial), surface water (pluvial) and coastal flooding pose a significant risk to the United Kingdom. Therefore, it is important to assess flood risk particularly as the impacts of flooding are projected to increase due to climate change. Here we present a high resolution combined fluvial and pluvial flood susceptibility map of England. This flood susceptibility model is created by using past flood events and a series of meaningful hydrological parameters to a training machine learning model. We tested the relative performance of different machine learning algorithms, including Classification and Regression Trees, Random Forest and XGBoost and found the XGBoost performed the best, with an area under the receiver operating characteristic ROC Curve (AUC) of 0.93. We also found the model performed well on unseen areas, and we discuss the possibility of extending to regions that has no information on past flood events. Additionally, to aid in understanding what factors may impact flood risk to a particular area, we used Shapley additive explanations which allowed us to investigate the sensitivity of the predicted flood probability to flood factors at a given location.
Resurrected seeds from herbarium specimens reveal rapid evolution of drought resistance in a selfing annual
Authors: Christie Kyle , Pierson Natalie R. , Holeski Liza M. , Lowry David B. 
Published: December 2023

AbstractPremiseIncreased aridity and drought associated with climate change are exerting unprecedented selection pressures on plant populations. Whether populations can rapidly adapt, and which life history traits might confer increased fitness under drought, remain outstanding questions.MethodsWe utilized a resurrection ecology approach, leveraging dormant seeds from herbarium collections to assess whether populations of Plantago patagonica from the semi‐arid Colorado Plateau have rapidly evolved in response to approximately ten years of intense drought in the region. We quantified multiple traits associated with drought escape and drought resistance and assessed the survival of ancestors and descendants under simulated drought.ResultsDescendant populations displayed a significant shift in resource allocation, in which they invested less in reproductive tissues and relatively more in both above‐ and below‐ground vegetative tissues. Plants with greater leaf biomass survived longer under terminal drought; moreover, even after accounting for the effect of increased leaf biomass, descendant seedlings survived drought longer than their ancestors.ConclusionsOur results document rapid adaptive evolution in response to climate change in a selfing annual and suggest that shifts in tissue allocation strategies may underlie adaptive responses to drought in arid or semi‐arid environments. This work also illustrates a novel approach, documenting that under specific circumstances, seeds from herbarium specimens may provide an untapped source of dormant propagules for future resurrection experiments.
Exploring the evolving roles of clinical geneticists and genetic counselors in the era of genomic medicine
Authors: Freiman Andrew , Rekab Aisha , Bergner Amanda L. , Pereira Elaine M. , Lin Yuhuan , Ahimaz Priyanka 
Published: December 2023

AbstractThe increased utilization of clinical genomic sequencing in the past decade has ushered in the era of genomic medicine, requiring genetics providers to acquire new skills and adapt their practices. The change in workplace responsibilities of clinical/medical geneticists (CMGs) and genetic counselors (GCs) in North America, due to the evolution of genetic testing, has not been studied. We surveyed CMGs (n = 80) and GCs (n = 127) with experience in general/pediatric genetics to describe their current practice of clinical tasks and the change in regularity of performing these tasks over the past 5–10 years. Currently, complementarity of responsibilities between CMGs and GCs clearly exists but providers who have been in the field for longer have noted role changes. Trends indicate that fewer experienced CMGs perform physical exams and select genetic tests than before and fewer experienced GCs complete requisitions and write result letters. The frequency of CMGs and GCs who investigate genetic test results, however, has increased. This study provides insight into the changing landscape of clinical genetics practice. Our findings suggest that the roles and responsibilities of CMGs and GCs have shifted in the past decade.
Optical Control of Proteasomal Protein Degradation with a Photoswitchable Lipopeptide
Authors: Morstein Johannes , Amatuni Alexander , Shuster Anton , Kuttenlochner Wolfgang , Ko Tongil , Abegg Daniel , Groll Michael , Adibekian Alexander , Renata Hans , Trauner Dirk H. 
Published: December 2023

AbstractPhotolipids have emerged as attractive tools for the optical control of lipid functions. They often contain an azobenzene photoswitch that imparts a cis double‐bond upon irradiation. Herein, we present the application of photoswitching to a lipidated natural product, the potent proteasome inhibitor cepafungin I. Several azobenzene‐containing lipids were attached to the cyclopeptide core, yielding photoswitchable derivatives. Most notably, PhotoCep4 exhibited a 10‐fold higher cellular potency in its light‐induced cis‐form, matching the potency of natural cepafungin I. The length of the photolipid tail and distal positioning of the azobenzene photoswitch with respect to the macrocycle is critical for this activity. In a proteome‐wide experiment, light‐triggered PhotoCep4 modulation showed high overlap with constitutively active cepafungin I. The mode of action was studied using crystallography and revealed an identical binding of the cyclopeptide in comparison to cepafungin I, suggesting that differences in their cellular activity originate from switching the tail structure. The photopharmacological approach described herein could be applicable to many other natural products as lipid conjugation is common and often necessary for potent activity. Such lipids are often introduced late in synthetic routes, enabling facile chemical modifications.
Asymmetric Ruthenium‐Catalyzed C−H Activation by a Versatile Chiral‐Amide‐Directing Strategy
Authors: Chen Wenkun , Jiang Jijun , Wang Jun 
Published: December 2023

AbstractA versatile and readily available chiral amide directing group has been developed for the ruthenium(II)‐catalyzed asymmetric C−H activation. Asymmetric C−H activation of the related chiral benzamides with various olefins, aldehydes and propargylic alcohols has been accomplished with high stereoselectivities, affording a series of chiral products including 3,4‐dihydroisocoumarins (up to 96 % ee), isocoumarins (up to 92 % ee), phthalides (up to 99 % ee), chiral bicyclo[2.2.1]heptanes (>20 : 1 dr), 4‐alkylidene‐3,4‐dihydroisocoumarins (up to 97 % ee) and allenes (>20 : 1 dr). Importantly, our methodologies enabled concise syntheses of many biologically active compounds and natural products (e.g., Montroumarin, Cyclosporone E, Cyclosporone Q, Concentricolide, Chuangxinol, and Eleutherol).