bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into the Structure and Self‐Assembly of Organic‐Semiconductor/Quantum‐Dot Blends
Authors: Toolan Daniel T. W. , Weir Michael P. , Allardice Jesse , Smith Joel A. , Dowland Simon A. , Winkel Jurjen , Xiao James , Zhang Zhilong , Gray Victor , Washington Adam L. , Petty Anthony J. , Anthony John E. , Greenham Neil C. , Friend Richard H. , Rao Akshay , Jones Richard A. L. , Ryan Anthony J. 
Published: December 2021

AbstractControlling the dispersibility of crystalline inorganic quantum dots (QD) within organic‐QD nanocomposite films is critical for a wide range of optoelectronic devices. A promising way to control nanoscale structure in these nanocomposites is via the use of appropriate organic ligands on the QD, which help to compatibilize them with the organic host, both electronically and structurally. Here, using combined small‐angle X‐ray and neutron scattering, the authors demonstrate and quantify the incorporation of such a compatibilizing, electronically active, organic semiconductor ligand species into the native oleic acid ligand envelope of lead sulphide, QDs, and how this ligand loading may be easily controlled. Further more, in situ grazing incidence wide/small angle X‐ray scattering demonstrate how QD ligand surface chemistry has a pronounced effect on the self‐assembly of the nanocomposite film in terms of both small‐molecule crystallization and QD dispersion versus ordering/aggregation. The approach demonstrated here shows the important role which the degree of incorporation of an active ligand, closely related in chemical structure to the host small‐molecule organic matrix, plays in both the self‐assembly of the QD and small‐molecule components and in determining the final optoelectronic properties of the system.
Recent Advances in Sustainable Wearable Energy Devices with Nanoscale Materials and Macroscale Structures
Authors: Kim Hyun , Pyun Kyung Rok , Lee Ming‐Tsang , Lee Ha Beom , Ko Seung Hwan 
Published: December 2021

AbstractQuick progress in the field of smart wearable devices requires self‐sustainable power systems to help the devices execute the desired functions within a sufficient time scale. Because these devices have started to become small, light, compliant, complex, and multifunctional, it is challenging to provide them with the large amounts of energy necessary for their operation. Thus, future multifunctional wearable devices should not only incorporate mechanical flexibility for conformal contacts but also include sustainable energy units for stable operation. Hence, strategies for designing the assembly of nanoscale materials in macroscale‐structured devices have attracted intense interest, with an aim to achieve mechanically deformable and sustainable wearable devices while exploiting the recent advances in nanomaterials and device fabrication. This review highlights the recent progress in nanomaterial‐enabled and structured energy harvesting, energy storage, and hybrid devices for powering sustainable wearables. In particular, one summarizes describe biomechanical energy harvesters (piezoelectric nanogenerators and triboelectric nanogenerators), solar energy harvesters (solar cells), biothermal energy harvesters (thermoelectric nanogenerators), energy storage devices (batteries and supercapacitors), and hybrid devices and focus on the use of nanomaterials and device configurations in 1D, 2D, and 3D structures, with an aim to shape the future demand for self‐sustainable wearables.
Cancer‐Cell‐Biomimetic Nanoparticles for Targeted Therapy of Multiple Myeloma Based on Bone Marrow Homing
Authors: Qu Ying , Chu Bingyang , Wei Xue , Chen Yingying , Yang Yun , Hu Danrong , Huang Jingcao , Wang Fangfang , Chen Mengran , Zheng Yuhuan , Qian Zhiyong 
Published: December 2021

AbstractMultiple myeloma (MM) is the second most common hematological malignancy. It is characterized by abnormal transformation and uncontrolled clonal proliferation of malignant plasma cells in the bone marrow (BM), which can destroy bone structure and inhibit hematopoiesis. Although there are new therapeutic methods, they are not curative, mainly because it is difficult to deliver an effective amount of drug to BM, leading to a failure to eradicate MM cells inside the BM. BM homing is an important and unique characteristic of MM cells and it is mainly affected by surface molecules on the tumor cell membrane. Inspired by this mechanism, an MM‐mimicking nanocarrier is developed by coating bortezomib (BTZ)‐loaded poly(ε‐caprolactone)–poly(ethylene glycol)–poly(ε‐caprolactone) (PCEC) nanoparticles with the MM cell membrane. The MM‐mimicking nanoparticles can enter the BM based on BM homing as a “Trojan horse” and target the tumor cells through homologous targeting. In this way, drug availability at the myeloma site is enhanced so as to inhibit MM growth. In addition, these MM‐mimicking nanoparticles can escape phagocytosis by the MPS and have a long circulation effect. The in vivo therapeutic results demonstrate an excellent treatment efficacy for MM. Accordingly, this strategy may be a promising platform for the treatment of MM.
Oncometabolite Fingerprinting Using Fluorescent Single‐Walled Carbon Nanotubes
Authors: Amir Dean , Hendler‐Neumark Adi , Wulf Verena , Ehrlich Roni , Bisker Gili 
Published: December 2021

AbstractThe production of oncometabolites is the direct result of mutagenesis in key cellular metabolic enzymes, appearing typically in cancers such as glioma, leukemia, and glioblastoma. Once accumulated, oncometabolites promote cancerous transformations by interfering with important cellular functions. Hence, the ability to sense and quantify oncometabolites is essential for cancer research and clinical diagnosis. Here, the authors present a near‐infrared optical nanosensor for a known oncometabolite, D‐2‐hydroxyglutarate (D2HG), discovered in a screening of a library of fluorescent single‐walled carbon nanotubes (SWCNTs) functionalized with ssDNA. The screening reveals (ATTT)7‐SWCNT as a sensor for D2HG, exhibiting a fluorescence intensity increase upon the interaction with D2HG. The fluorescence response of the sensor does not appear to be attributed to basic chemical features of the target analytes tested, and is shown to discriminate D2HG from other related metabolites, including its enantiomer L‐2‐hydroxyglutarate. Further, the fluorescence modulation is dependent on the analyte concentration and the SWCNT chirality, showing up to 40.7% and 28.2% increase of the (6,5)‐chirality peak and the (9,5)‐ and (8,7)‐chirality joint peak, at 572 and 730 nm excitation, respectively, in the presence of 10 mm D2HG. This work opens new opportunities for molecular recognition of oncometabolites which can advance basic cancer metabolism research.
Compacted Laser‐Induced Graphene with Bamboo‐Like Carbon Nanotubes for Transformable Capacitive Energy Storage Electrodes
Authors: Hyeong Seok‐Ki , Park Mina , Kim Seung‐Il , Park Seoungwoong , Choi Kwang‐Hun , Im Min Ji , Kim Nam Dong , Kim Tae‐Wook , Lee Sang Hyun , Park Ji‐Won , Bae Sukang , Lee Jae‐Hyun , Lee Seoung‐Ki 
Published: December 2021

AbstractLaser‐induced graphene (LIG) has drawn attention for energy storage devices owing to its fascinating material properties as well as for its use in the effective production of porous structures. However, the low packing density of LIG, which is caused by macroscopic voids owing to rapid degassing during the instantaneous photothermal process, limits the improvement of device performance. Herein, the fabrication of compacted LIG composite is introduced, wherein, the unused voids are filled with bamboo‐like carbon nanotubes (BCNTs). The BCNTs grown directly in the voids of LIG through chemical vapor deposition (CVD) method using Cu seeds as catalysts improve the electrical conductivity, chemical activity, and mechanical flexibility, while enhancing the spatial efficiency of the porous structure. Consequently, the fabricated composite film (denoted as BCNT:LIG/Cu) delivers an energy density of 1.87 μWh cm−2, which is ≈10 times higher than that of the LIG‐based supercapacitor (0.19 μWh cm−2). Moreover, the BCNT:LIG/Cu film with a shape engineering pattern is assembled into a solid‐state supercapacitor using a gel electrolyte (PVA‐KOH), showing excellent electrochemical and mechanical stabilities under complex deformations. The proposed LIG‐based densification strategy opens up opportunities for the development of energy devices for portable power supply in practical applications.
Rhodium‐Catalysed Asymmetric Arylation of Pyridylimines
Authors: Hu Yan , Wang Chenhong , Zhu Huilong , Xing Junhao , Dou Xiaowei 
Published: December 2021

AbstractThe catalytic asymmetric arylation of pyridylimines was developed. A range of pyridylimines reacted with arylboronic acids under rhodium catalysis to produce pyridine‐incorporating chiral diarylmethylamines in 46% to 99% yield with 90:10 to 99.5:0.5 er, thus providing a method for the preparation of these important chiral pharmacophores.magnified image
Failure Mechanism of Lithiophilic Sites in Composite Lithium Metal Anode under Practical Conditions
Authors: Zhan Ying‐Xin , Shi Peng , Ma Xia‐Xia , Jin Cheng‐Bin , Zhang Qian‐Kui , Yang Shi‐Jie , Li Bo‐Quan , Zhang Xue‐Qiang , Huang Jia‐Qi 
Published: December 2021

AbstractA 3D host decorated with lithiophilic sites has emerged as a promising strategy to stabilize lithium metal anode by guiding uniform Li deposition and relieving volume fluctuations. Herein, the evolution process of lithiophilic sites in a 3D host under practical conditions is disclosed in a typical system with metal‐based lithiophilic sites. Lithiophilic sites decreasing nucleation overpotential, however this effect gradually disappears during cycles under practical conditions. The significantly increased cycling capacity under practical conditions results in a rapid accumulation of dead Li compared with mild conditions. The dead Li covers the lithiophilic sites and blocks the diffusion channels of Li ions to the lithiophilic sites, failing to decrease the nucleation overpotentials. Once the dead Li has been removed after long cycles, the lithiophilic sites can still work. This work discloses the failure mechanism of lithiophilic sites and provides a guideline for designing lithiophilic hosts under practical conditions.
Self‐assembly of colloidal nanoparticles into encapsulated hollow superstructures
Authors: Wu Chaolumen , Li Zhiwei , Bai Yaocai , To Dung , Myung Nosang V. , Yin Yadong 
Published: December 2021

AbstractAs a distinct type of nanocapsules, hollow superstructures of inorganic nanoparticles have attracted increasing attention due to their controllable permeability, convenient functionalization, and efficient surface utilization. Conventionally, they are produced by assembling nanoparticles against expensive sacrificial templates. Herein, a general emulsion‐based method is reported to assemble colloidal nanoparticles into submicron hollow superstructures, involving first co‐assembly of colloidal nanoparticles with organic additives to form clusters, then overcoating the clusters with a polymer shell, and finally removing the organic additives and re‐dispersing nanoparticles by exposing to a good solvent. The key to the success of this process is the re‐assembly of nanoparticles against the polymer shells as driven by the capillary force during solvent evaporation, producing hollow superstructures. Such a space‐confined assembly process can be well controlled by choice of solvents and their evaporation rates. This general technique provides an open and low‐cost platform for creating hollow superstructures of various inorganic nanoparticles, offering many opportunities for exploring unique applications that can take advantage of the collective properties of the constituent nanoparticles and the permeable nanoshell structures.
An open‐source population balance modeling framework for the simulation of polydisperse multiphase flows
Authors: Lehnigk Ronald , Bainbridge William , Liao Yixiang , Lucas Dirk , Niemi Timo , Peltola Juho , Schlegel Fabian 
Published: December 2021

AbstractPolydispersity is a challenging feature of many industrial and environmental multiphase flows, influencing all related transfer and transport processes. Besides their size, the fluid or solid particles may be distributed with respect to other properties such as their velocity or shape. Here, a population balance model based on the method of classes is combined with a multifluid solver within the open source computational fluid dynamics library OpenFOAM. The model allows for tracking the evolution of one or more size‐conditioned secondary properties. It is applied to two different problems, the first being bubbly flow of air and water in a vertical pipe, where considering the velocity as a secondary property allows to resolve the size‐dependent radial segregation. The second application is the gas phase synthesis of titania powder, where non‐spherical particle aggregates appear whose shape is modeled through a collision diameter, leading to an improved prediction of the size distribution.
Just data representation for Native Hawaiians and Pacific Islanders: A critical review of systemic Indigenous erasure in census and recommendations for psychologists
Authors: Sasa Steven M. , Yellow Horse Aggie J. 
Published: December 2021

AbstractThe decennial Census survey marks the emergence of federal classifications of race and ethnicity by which the U.S. government has historically conflated Native Hawaiians and Pacific Islanders (NHPI, hereafter) as “Asian or Pacific Islander.” This conflation amplifies health injustices and inequities of NHPIs through multiple mechanisms because it masks the complex and heterogeneous experiences of NHPIs, whose positions and relations with the settler state are qualitatively and substantially distinct from Asian Americans. This critical review examines federal documents and research to examine how the panethnic categorizations are often sustained through scientific inquiry and methodologies. We found that self‐determination and self‐identification for NHPIs are impeded by settler‐colonial relations between U.S. colonization of parts of Oceania (e.g., Hawai'i, Sāmoa, Fiji, and Guam) and the forcefully imposed categorization that continues to be in use to legitimize the domination of Indigenous Peoples through race misclassification. Specifically, Census data collection fails to capture accurate and reliable data due to serious methodological limitations. These implications for psychological research compel us to make several recommendations for psychologists: (1) engagewithNHPI community partners in all research processes; (2) critically examine Census research design and consider oversampling NHPI households to ensure just data representation; (3) meaningfully engage when, whether and how to aggregate Asian Americans with NHPIs; and (4) use Indigeneity as a critical framework.
Population structure, intergroup interaction, and human contact govern infectious disease impacts in mountain gorilla populations
Authors: Whittier Christopher A. , Nutter Felicia B. , Johnson Philip L. F. , Cross Paul , Lloyd‐Smith James O. , Slenning Barrett D. , Stoskopf Michael K. 
Published: December 2021

AbstractInfectious zoonotic diseases are a threat to wildlife conservation and global health. They are especially a concern for wild apes, which are vulnerable to many human infectious diseases. As ecotourism, deforestation, and great ape field research increase, the threat of human‐sourced infections to wild populations becomes more substantial and could result in devastating population declines. The endangered mountain gorillas (Gorilla beringei beringei) of the Virunga Massif in east‐central Africa suffer periodic disease outbreaks and are exposed to infections from human‐sourced pathogens. It is important to understand the possible risks of disease introduction and spread in this population and how human contact may facilitate disease transmission. Here we present and evaluate an individual‐based, stochastic, discrete‐time disease transmission model to predict epidemic outcomes and better understand health risks to the Virunga mountain gorilla population. To model disease transmission we have derived estimates for gorilla contact, interaction, and migration rates. The model shows that the social structure of gorilla populations plays a profound role in governing disease impacts with subdivided populations experiencing less than 25% of the outbreak levels of a single homogeneous population. It predicts that gorilla group dispersal and limited group interactions are strong factors in preventing widespread population‐level outbreaks of infectious disease after such diseases have been introduced into the population. However, even a moderate amount of human contact increases disease spread and can lead to population‐level outbreaks.
Characteristics of subjective cognitive decline associated with amyloid positivity
Authors: Janssen Olin , Jansen Willemijn J. , Vos Stephanie J.B. , Boada Merce , Parnetti Lucilla , Gabryelewicz Tomasz , Fladby Tormod , Molinuevo José Luis , Villeneuve Sylvia , Hort Jakub , Epelbaum Stéphane , Lleó Alberto , Engelborghs Sebastiaan , van der Flier Wiesje M. , Landau Susan , Popp Julius , Wallin Anders , Scheltens Philip , Rikkert Marcel Olde , Snyder Peter J. , Rowe Chris , Chételat Gaël , Ruíz Agustin , Marquié Marta , Chipi Elena , Wolfsgruber Steffen , Heneka Michael , Boecker Henning , Peters Oliver , Jarholm Jonas , Rami Lorena , Tort‐Merino Adrià , Binette Alexa Pichet , Poirier Judes , Rosa‐Neto Pedro , Cerman Jiri , Dubois Bruno , Teichmann Marc , Alcolea Daniel , Fortea Juan , Sánchez‐Saudinós M. Belén , Ebenau Jarith , Pocnet Cornelia , Eckerström Marie , Thompson Louisa , Villemagne Victor , Buckley Rachel , Burnham Samantha , Delarue Marion , Freund‐Levi Yvonne , Wallin Åsa K. , Ramakers Inez , Tsolaki Magda , Soininen Hilkka , Hampel Harald , Spiru Luiza ,   for the Alzheimer's Disease Neuroimaging Initiative,   FACEHBI study group,   PREVENT‐AD research group, Tijms Betty , Ossenkoppele Rik , Verhey Frans R. J. , Jessen Frank , Visser Pieter Jelle 
Published: December 2021

AbstractIntroductionThe evidence for characteristics of persons with subjective cognitive decline (SCD) associated with amyloid positivity is limited.MethodsIn 1640 persons with SCD from 20 Amyloid Biomarker Study cohort, we investigated the associations of SCD‐specific characteristics (informant confirmation, domain‐specific complaints, concerns, feelings of worse performance) demographics, setting, apolipoprotein E gene (APOE) ε4 carriership, and neuropsychiatric symptoms with amyloid positivity.ResultsBetween cohorts, amyloid positivity in 70‐year‐olds varied from 10% to 76%. Only older age, clinical setting, and APOE ε4 carriership showed univariate associations with increased amyloid positivity. After adjusting for these, lower education was also associated with increased amyloid positivity. Only within a research setting, informant‐confirmed complaints, memory complaints, attention/concentration complaints, and no depressive symptoms were associated with increased amyloid positivity. Feelings of worse performance were associated with less amyloid positivity at younger ages and more at older ages.DiscussionNext to age, setting, and APOE ε4 carriership, SCD‐specific characteristics may facilitate the identification of amyloid‐positive individuals.
Machine‐Learning Prediction of Metal–Organic Framework Guest Accessibility from Linker and Metal Chemistry
Authors: Pétuya Rémi , Durdy Samantha , Antypov Dmytro , Gaultois Michael W. , Berry Neil G. , Darling George R. , Katsoulidis Alexandros P. , Dyer Matthew S. , Rosseinsky Matthew J. 
Published: December 2021

AbstractThe choice of metal and linker together define the structure and therefore the guest accessibility of a metal‐organic framework (MOF), but the large number of possible metal‐linker combinations makes the selection of components for synthesis challenging. We predict the guest accessibility of a MOF with 80.5 % certainty based solely on the identity of these two components as chosen by the experimentalist, by decomposing reported experimental three‐dimensional MOF structures in the Cambridge Structural Database into metal and linker and then learning the connection between the components’ chemistry and the MOF porosity. Pore dimensions of the guest‐accessible space are classified into four ranges with three sequential models. Both the dataset and the predictive models are available to download and offer simple guidance in prioritization of the choice of the components for exploratory MOF synthesis for separation and catalysis based on guest accessibility considerations.
Enhanced Selectivity and Stability of Finned Ferrierite Catalysts in Butene Isomerization
Authors: Dai Heng , Lee Choongsze , Liu Wen , Yang Taimin , Claret Jakob , Zou Xiaodong , Dauenhauer Paul J. , Li Xiujie , Rimer Jeffrey D. 
Published: December 2021

AbstractDesigning zeolite catalysts with improved mass transport properties is crucial for restrictive networks of either one‐ or two‐dimensional pore topologies. Here, we demonstrate the synthesis of finned ferrierite (FER), a commercial zeolite with two‐dimensional pores, where protrusions on crystal surfaces behave as pseudo nanoparticles. Catalytic tests of 1‐butene isomerization reveal a 3‐fold enhancement of catalyst lifetime and an increase of 12 % selectivity to isobutene for finned samples compared to corresponding seeds. Electron tomography was used to confirm the identical crystallographic registry of fins and seeds. Time‐resolved titration of Brønsted acid sites confirmed the improved mass transport properties of finned ferrierite compared to conventional analogues. These findings highlight the advantages of introducing fins through facile and tunable post‐synthesis modification to impart material properties that are otherwise unattainable by conventional synthesis methods.
Controlled composite processing based on off‐stoichiometric thiol‐epoxy dual‐curing systems with sequential heat release (SHR)
Authors: Fabregat‐Sanjuan Albert , Fernández‐Francos Xavier , Ferrando‐Piera Francesc 
Published: December 2021

AbstractControl of curing rate and exothermicity during processing of thermosetting composite materials is essential in order to minimize the formation of internal stresses leading to mechanical and dimensional defects in the samples, especially in thick composite samples. It was recently proposed that sequential heat release, an approach based on the kinetic control of the curing sequence of dual‐curing thermosets, would enable a step‐wise release of the reaction heat and therefore a better control of conversion and temperature profiles during the crosslinking stage. In this article, it is shown experimental proof of this concept obtained by means of an instrumented mold that can be used for the processing of small samples with and without carbon fiber reinforcement. Safe processing scenarios have been defined by numerical simulation using a simplified two‐dimensional heat transfer model and validated experimentally.