bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photo‐Directed Growth of Surface Micro‐Patterns on Photosensitive Semicrystalline Polymers
Authors: Yan Shuzhen , Chen Shuai , Deng XinLu , Ma Tianjiao , Li Tiantian , Li Jin , Jiang Xuesong 
Published: July 2024

AbstractPatterning polymeric materials with controllable microstructures can meet diversified requirements and realize promising applications. Exploring micro‐/nano‐pattern methodology offers possibilities for future techniques, however, the self‐organized growth of polymeric materials has some limitations and the development of direct and noncontact patterning processes is still challenging. In this work, the study presents a facile strategy for endowing polymers with spatially regulated microstructures by direct photo‐printing, which incorporates both advantages of typical top‐down and bottom‐up approaches. By employing the photodimerization of anthracene‐containing semi‐crystallized polymers, the gradient crosslinking results in a mismatch of thermal expansion coefficients between the crosslinked surface and the uncrosslinked bottom layer. After heating treatment, constrained by the crosslinked surface, the uncrosslinked bottom polymer of the molten state in the exposed region tends to flow and migrate toward the unexposed region, similar to a volcanic eruption, which accurately determines the height and morphology of pattern. Besides, the well‐defined patterns can controllably grow upon thermal treatment due to phase transformation and migration. The versatility of the proposed strategy not only provides a brand‐new reliable platform to pattern functional materials with photo‐regulated and reversible microstructures, but also promotes the development of smart materials that can find applications in information safety, reversible microfluidics, and electronic devices.
Reversible Intercalation of Organic Solvents in Graphite and Its Hindrance by a Strongly Adsorbing Supramolecular Monolayer
Authors: Badami‐Behjat Arash , Rinkovec Tamara , Procházka Pavel , Bazylevska Anastasiia , RodríguezGonzález Miriam C. , Cao Hai , Čechal Jan , De Feyter Steven , Lackinger Markus 
Published: July 2024

AbstractAt elevated temperatures, the prototypical organic solvents used to study the self‐assembly of supramolecular monolayers at liquid–solid interfaces alter a graphite substrate by intercalation. As a consequence, less strongly bound supramolecular monolayers become thermodynamically unstable, as probed by scanning tunneling microscopy. Complementary characterization by atomic force microscopy, confocal Raman spectroscopy and low energy electron microscopy consistently points to subsurface changes in the top few layers of the graphite substrate due to solvent intercalation. High‐temperature annealing at 900 °C in the vacuum restores the adsorption properties of the graphite substrates, indicating a high activation energy for deintercalation. However, strongly adsorbing hydrogen‐bonded monolayers of trimesic acid inhibit solvent intercalation and thus protect the graphite substrate. Mildly solvent‐intercalated graphite may prove useful as an easily prepared graphitic material with further weakened adsorption properties.
Identification of Hypoxia‐ALCAMhigh Macrophage‐ Exhausted T Cell Axis in Tumor Microenvironment Remodeling for Immunotherapy Resistance
Authors: Xun Zhenzhen , Zhou Huanran , Shen Mingyi , Liu Yao , Sun Chengcao , Du Yanhua , Jiang Zhou , Yang Liuqing , Zhang Qing , Lin Chunru , Hu Qingsong , Ye Youqiong , Han Leng 
Published: July 2024

AbstractAlthough hypoxia is known to be associated with immune resistance, the adaptability to hypoxia by different cell populations in the tumor microenvironment and the underlying mechanisms remain elusive. This knowledge gap has hindered the development of therapeutic strategies to overcome tumor immune resistance induced by hypoxia. Here, bulk, single‐cell, and spatial transcriptomics are integrated to characterize hypoxia associated with immune escape during carcinogenesis and reveal a hypoxia‐based intercellular communication hub consisting of malignant cells, ALCAMhigh macrophages, and exhausted CD8+ T cells around the tumor boundary. A hypoxic microenvironment promotes binding of HIF‐1α complex is demonstrated to the ALCAM promoter therefore increasing its expression in macrophages, and the ALCAMhigh macrophages co‐localize with exhausted CD8+ T cells in the tumor spatial microenvironment and promote T cell exhaustion. Preclinically, HIF‐1ɑ inhibition reduces ALCAM expression in macrophages and exhausted CD8+ T cells and potentiates T cell antitumor function to enhance immunotherapy efficacy. This study reveals the systematic landscape of hypoxia at single‐cell resolution and spatial architecture and highlights the effect of hypoxia on immunotherapy resistance through the ALCAMhigh macrophage‐exhausted T cell axis, providing a novel immunotherapeutic strategy to overcome hypoxia‐induced resistance in cancers.
Post‐Treated Polycrystalline SnO2 in Perovskite Solar Cells for High Efficiency and Quasi‐Steady‐State‐IV Stability
Authors: Song Ji Won , Shin Yun Seop , Kim Minjin , Lee Jaehwi , Lee Dongmin , Seo Jongdeuk , Lee YeonJeong , Lee Woosuk , Kim Hak‐Beom , Mo Sung‐In , An Jeong‐Ho , Hong Ji‐Eun , Kim Jin Young , Jeon Il , Jo Yimhyun , Kim Dong Suk 
Published: July 2024

AbstractThe prominent chemical bath deposition (CBD) method leverages tin dioxide (SnO2) as an electron transport layer (ETL) in perovskite solar cells (PSCs), achieving exceptional efficiency. The deposition of SnO2, however, can lead to the formation of oxygen vacancies and surface defects, which subsequently contribute to performance challenges such as hysteresis and instability under light‐soaking conditions. To alleviate these issues, it is crucial to address heterointerface defects and ensure the uniform coverage of SnO2 on fluorine‐doped tin oxide substrates. Herein, the efficacy of tin(IV) chloride (SnCl4) post‐treatment in enhancing the properties of the SnO2‐ETL and the performances of PSCs are presented. The treatment with SnCl4 not only removes undesired agglomerated SnO2 nanoparticles from the surface of CBD SnO2 but also improves its crystallinity through a recrystallization process. This leads to an optimized interface between the SnO2‐ETL and perovskite, effectively minimizing defects while promoting efficient electron transport. The resultant PSCs demonstrate improved performance, achieving an efficiency of 25.56% (certified with 24.92%), while retaining 95.84% of the initial PCE under ambient storage conditions. Additionally, PSCs treated with SnCl4 endure prolonged light‐soaking tests, particularly when subjected to quasi‐steady‐state‐IV measurements. This highlights the potential of SnCl4 treatment as a promising strategy for advancing PSC technology.
Activation of MOF Catalysts with Low Steric Hindrance via Undercoordination Chemistry for Efficient Polysulfide Conversion in Lithium–Sulfur Battery
Authors: Wang Jiayi , Zhang Xiaomin , Wang Xingbo , Liu Jiabing , Li Shibin , Nie Yihang , Zong Kai , Zhang Xiaoyu , Meng Hao , Jin Mingliang , Yang Lin , Wang Xin , Chen Zhongwei 
Published: July 2024

AbstractLithium–sulfur (Li–S) batteries promise high theoretical energy density and cost‐effectiveness but grapple with challenges like the polysulfide shuttle effect and sluggish kinetics. Metal–organic framework (MOF) catalysts emerge as a leading solution, despite limited conductivity and high steric hindrance. This study employs undercoordination chemistry to modify Zn–Co bimetallic MOFs (D‐ZIF L), removing organic ligands from active centers. This process mitigates spatial hindrance, thereby promoting comprehensive contact between sulfur species and metal active centers, consequently enhancing the catalytic efficiency of MOFs. Moreover, undercoordination treatment of the metal active centers induces electron redistribution, augmenting electron density at the Fermi level of the metal elements, thereby ameliorating the intrinsic conductivity. Leveraging these advantages, fabricated Li–S batteries employing D‐ZIF L catalysts exhibited markedly mitigated shuttling effects and accelerated sulfur species conversion kinetics. Notably, a substantial reverse areal capacity of 5.0 mAh cm⁻2 is achieved after 100 cycles with an evaluated sulfur loading of 5.5 mg cm⁻2. Furthermore, a practical pouch cell demonstrated an initial capacity of 1.8 Ah at 85.8 mA with stable cycling for 50 cycles. This study underscores the potential of undercoordination chemistry in the development of highly conductive MOF catalysts with minimized steric hindrance, thereby advancing the prospects of Li–S battery technology.
Molecular autopsy in Chinese sudden cardiac death in the young
Authors: Kwok Sit‐Yee , Ho Stephanie , Shih Fong‐Ying , Yeung Pak‐Kwan , Cheng Shirley S. W. , Poon Wai‐Ming , Lo Ivan F. M. , Luk Ho‐Ming 
Published: July 2024

AbstractInherited cardiovascular conditions are significant causes of sudden cardiac death in the young (SCDY), making their investigation using molecular autopsy and prevention a public health priority. However, the molecular autopsy data in Chinese population is lacking. The 5‐year result (2017–2021) of molecular autopsy services provided for victims of SCDY (age 1–40 years) was reviewed. The outcome of family cascade genetic screening and clinical evaluation was reviewed. A literature review of case series reporting results of molecular autopsy on SCDY in 2016–2023 was conducted. Among the 41 decedents, 11 were found to carry 13 sudden cardiac death (SCD)‐causative genetic variants. Likely pathogenic (LP) variants were identified in the DSP, TPM1, TTN, and SCN5A genes. Cascade genetic testing identified four family members with LP variants. One family member with familial TPM1 variant was found to have hypertrophic cardiomyopathy upon clinical evaluation. This study provided insight into the genetic profile of molecular autopsy in a Chinese cohort of SCDY. The detection of important SCD‐causative variants through molecular autopsy has facilitated family cascade screening by targeted genetic testing and clinical evaluation of at‐risk family members. A literature review of the current landscape of molecular autopsy in the investigation of SCDY was conducted.
First copy number variant in trans with single nucleotide variant in CCN6 causing progressive pseudorheumatoid dysplasia revealed by genome sequencing and deep phenotyping in monozygotic twins
Authors: Xu Kexin , Li Guozhuang , Niu Yuchen , Wu Zhihong ,   DISCO (Deciphering Disorders Involving Scoliosis & COmorbidities) Study Group, Zhang Terry Jianguo , Zhang Shuyang , Wu Nan 
Published: July 2024

AbstractBiallelic pathogenic variants in CCN6 cause progressive pseudorheumatoid dysplasia (PPD), a rare skeletal dysplasia. The predominant features include noninflammatory progressive joint stiffness and enlargement, which are not unique to this condition. Nearly 100% of the reported variants are single nucleotide variants or small indels, and missing of a second variant has been reported. Genome sequencing (GS) covers various types of variants and deep phenotyping (DP) provides detailed and precise information facilitating genetic data interpretation. The combination of GS and DP improves diagnostic yield, especially in rare and undiagnosed diseases. We identified a novel compound heterozygote involving a disease‐causing copy number variant (g.112057664_112064205del) in trans with a single nucleotide variant (c.624dup(p.Cys209MetfsTer21)) in CCN6 in a pair of monozygotic twins, through the methods of GS and DP. The twins had received three nondiagnostic results before. The g.112057664_112064205del variant was missed by all the tests, and the recorded phenotypes were inaccurate or even misleading. The twins were diagnosed with PPD, ending a 13‐year diagnostic odyssey. There may be other patients with PPD experiencing underdiagnosis and misdiagnosis due to inadequate genetic testing or phenotyping methods. This case highlights the critical role of GS and DP in facilitating an accurate and timely diagnosis.
Inhalational exposure history is associated with differential sinonasal gene expression profiles and clinical outcomes in chronic rhinosinusitis patients: A pilot study
Authors: Worden Cameron P. , Thorp Brian D. , Ebert Charles S. , Klatt‐Cromwell Cristine N. , Senior Brent A. , Kimple Adam J. , Rebuli Meghan E. , Jaspers Ilona 
Published: July 2024

Key points
Inhalational exposure (IE) history assessment is important and may guide chronic rhinosinusitis disease management.
Combined exposure status was the most significant factor across differential gene expression analyse
IE history was associated with pro‐inflammatory transcriptome changes and worse clinical outcomes.
Cascade Synthesis of Fe‐N2‐Fe Dual‐Atom Catalysts for Superior Oxygen Catalysis
Authors: Zhao Shuang , Liu Minjie , Qu Zehua , Yan Yan , Zhang Zhirong , Yang Jifeng , He Siyuan , Xu Zhou , Zhu Yiquan , Luo Laihao , Hui Kwun Nam , Liu Mingkai , Zeng Jie 
Published: July 2024

AbstractDual‐atom catalysts (DACs) have been proposed to break the limitation of single‐atom catalysts (SACs) in the synergistic activation of multiple molecules and intermediates, offering an additional degree of freedom for catalytic regulation. However, it remains a challenge to synthesize DACs with high uniformity, atomic accuracy, and satisfactory loadings. Herein, we report a facile cascade synthetic strategy for DAC via precise electrostatic interaction control and neighboring vacancy construction. We synthesized well‐defined, uniformly dispersed dual Fe sites which were connected by two nitrogen bonds (denoted as Fe‐N2‐Fe). The as‐synthesized DAC exhibited superior catalytic performances towards oxygen reduction reaction, including good half‐wave potential (0.91 V), high kinetic current density (21.66 mA cm−2), and perfect durability. Theoretical calculation revealed that the DAC structure effectively tunes the oxygen adsorption configuration and decreases the cleavage barrier, thereby improving the catalytic kinetics. The DAC‐based zinc‐air batteries exhibited impressive power densities of 169.8 and 52.18 mW cm−2 at 25 °C and −40 °C, which is 1.7 and 2.0 times higher than those based on Pt/C+Ir/C, respectively. We also demonstrated the universality of our strategy in synthesizing other M‐N2‐M DACs (M=Co, Cu, Ru, Pd, Pt, and Au), facilitating the construction of a DAC library for different catalytic applications.
Quantification of Charge Transport and Mass Deprivation in Solid Electrolyte Interphase for Kinetically‐Stable Low‐Temperature Lithium‐Ion Batteries
Authors: Dong Liwei , Yan Hui‐Juan , Liu Qing‐Xiang , Liang Jia‐Yan , Yue Junpei , Niu Min , Chen Xingyu , Wang Enhui , Xin Sen , Zhang Xinghong , Yang Chunhui , Guo Yu‐Guo 
Published: July 2024

AbstractGraphite (Gr)‐based lithium‐ion batteries with admirable electrochemical performance below −20 °C are desired but are hindered by sluggish interfacial charge transport and desolvation process. Li salt dissociation via Li+‐solvent interaction enables mobile Li+ liberation and contributes to bulk ion transport, while is contradictory to fast interfacial desolvation. Designing kinetically‐stable solid electrolyte interphase (SEI) without compromising strong Li+‐solvent interaction is expected to compatibly improve interfacial charge transport and desolvation kinetics. However, the relationship between physicochemical features and temperature‐dependent kinetics properties of SEI remains vague. Herein, we propose four key thermodynamics parameters of SEI potentially influencing low‐temperature electrochemistry, including electron work function, Li+ transfer barrier, surface energy, and desolvation energy. Based on the above parameters, we further define a novel descriptor, separation factor of SEI (SSEI), to quantitatively depict charge (Li+/e−) transport and solvent deprivation processes at Gr/electrolyte interface. A Li3PO4‐based, inorganics‐enriched SEI derived by Li difluorophosphate (LiDFP) additive exhibits the highest SSEI (4.89×103) to enable efficient Li+ conduction, e− blocking and rapid desolvation, and as a result, much suppressed Li‐metal precipitation, electrolyte decomposition and Gr sheets exfoliation, thus improving low‐temperature battery performances. Overall, our work originally provides visualized guides to improve low‐temperature reaction kinetics/thermodynamics by constructing desirable SEI chemistry.
Pomotrelvir and Nirmatrelvir Binding and Reactivity with SARS‐CoV‐2 Main Protease: Implications for Resistance Mechanisms from Computations
Authors: Schillings Johanna , Ramos‐Guzmán Carlos A. , Ruiz‐Pernía J. Javier , Tuñón Iñaki 
Published: July 2024

AbstractWe investigate the inhibition mechanism between pomotrelvir and the SARS‐CoV‐2 main protease using molecular mechanics and quantum mechanics/molecular mechanics simulations. Alchemical transformations where each Pi group of pomotrelvir was transformed into its counterpart in nirmatrelvir were performed to unravel the individual contribution of each group to the binding and reaction processes. We have shown that while a γ‐lactam ring is preferred at position P1, a δ‐lactam ring is a good alternative for the design of inhibitors for variants presenting mutations at position 166. For the P2 position, tertiary amines are preferred with respect to secondary amines. Flexible side chains at the P2 position can disrupt the preorganization of the active site, favouring the exploration of non‐reactive conformations. The substitution of the P2 group of pomotrelvir by that of nirmatrelvir resulted in a compound, named as C2, that presents a better binding free energy and a higher population of reactive conformations in the Michaelis complex. Analysis of the chemical reaction to form the covalent complex has shown a similar reaction mechanism and activation free energies for pomotrelvir, nirmatrelvir and C2. We hope that these findings could be useful to design better inhibitors to fight present and future variants of the SARS‐CoV‐2 virus.
Artificial neural network modeling for predicting the carbon black content derived from unserviceable tires for elastomeric composite production
Authors: Cruz Marco Antônio Galindo , Hiranobe Carlos Toshiyuki , Cardim Guilherme Pina , Cabrera Flávio Camargo , Ribeiro Gabriel Deltrejo , Tolosa Gabrieli Roefero , Garcia Rogério Eduardo , dos Santos Renivaldo José 
Published: July 2024

AbstractGiven the increasing need for sustainable solutions and the large amount of improperly discarded end‐of‐life tires, recovered carbon black (rCB) from tire pyrolysis was investigated as a filler for rubber composites. This study considered rCB as an alternative to commercial carbon black due to its sustainability and CO2 emissions reduction. Composites with varying rCB contents (0 to 50 per 100 rubber) were produced and assessed for mechanical properties, such as hardness, abrasion resistance, and rheometric tests. The findings were used to train artificial neural networks (ANNs) with MATLAB software to predict rCB contents. Input parameters included optimal curing time, minimum and maximum torque, and results of mechanical tests like Shore A hardness and abrasion loss. The model was trained on data from 90 samples, with 10 reserved for validation. The predicted outcomes closely matched the experimental data, with a maximum prediction error of less than 3%. This indicates that ANNs are effective tools for intelligently modeling the curing process of natural rubber mixtures, minimizing material waste, optimizing production time, and determining suitable carbon black contents for desired mechanical properties.
Influence of sequential melting and sintering process on morphology development and performance properties of ultra‐high molecular weight polyethylene/low‐density polyethylene blends
Authors: Shandilya Prashant Mani , Ghosh Anup K. 
Published: July 2024

AbstractBlending ultra‐high molecular weight polyethylene (UHMWPE) with a low molecular weight polyolefin is a well‐established technique to improve its processability. The binary blends of UHMWPE and low‐density polyethylene (LDPE) were prepared with varying LDPE content (10%, 20%, 30%, 40%, and 50% by wt.) leading to the formation of a single polymer composite system (SPCS) as melting and sintering followed preferential stages during mixing. Interestingly, the sequence of either “melting followed by sintering” or “simultaneous sintering and melting” depends on the LDPE content in the blend, resulting in unique blend morphology. Separate melting peaks for the blend's constituents were observed in thermal characterization, showing the blend's immiscibility, while intermediate peaks showed moderate miscibility in the melt state. Due to the high entanglement density, UHMWPE retained a solid‐like structure and showed an intense viscous nature even above the melting point in rheological characterization. Typically, the UHMWPE samples are fabricated by boundary fusion between particles called sintering. At LDPE content higher than 30 wt.%, the sea island structure was visible in morphological analysis, and the preexisting cavities reduced the tensile modulus by 54% in the blend, along with decreased elongation at failure (250%–100%). Similarly, the flexural modulus was reduced by 34.7% in the blends, along with the decreased flexural strength. Interestingly, the decrease in performance properties occurred in two steps over the range of LDPE content. Thus, it was clear that 30 wt.% of LDPE in the UHMWPE/LDPE blend represented the critical concentration for controlling melting and sintering sequence to develop specified morphology and performance properties. These blends have the potential for biomedical application as well as for the development of foam products, which is the further scope of the present study.
Dynamic‐memory event‐based asynchronous security control for positive singular semi‐Markov jumping CPSs against multiple cyber‐attacks
Authors: Li Zhipeng , Wang Yanqian , Zhuang Guangming , Yang Zhibo 
Published: July 2024

AbstractThis paper mainly studies the design of asynchronous controllers for positive singular semi‐Markov jump systems with
performance under the dynamic‐memory event‐triggered. The positive singular semi‐Markov jump system model is established for the first time. And the dynamic‐memory event‐triggered transmission protocol is used to reduce network transmission pressure. Then, a unified cyber‐attack framework that includes DoS attacks and spoofing attacks is established. A simple hidden Markovian model (HMM) model is used to describe the asynchronous phenomena between the controller and the system. Considering the situation where all data cannot be accurately obtained in reality, a simple HMM is set as a partially unknown conditional probability matrix. Based on stochastic Lyapunov functional, the stochastically admissible conditions for the closed‐loop systems are obtained. Finally, a numerical example is given to verify the effectiveness of the proposed method.
A preliminary analysis of computer‐based asynchronous awareness training for public speaking disfluencies
Authors: Perrin Christopher J. , Metz Jonathon , Kettering Tracy L. 
Published: July 2024

AbstractSimple habit reversal training is effective at reducing public speaking disfluencies; however, the time and resources necessary to implement this intervention may reduce practicality for widespread adoption. The purpose of the present study was to evaluate the effectiveness of asynchronous awareness training. Four participants completed a computer‐based training consisting of response description and practice detecting recorded disfluencies prior to taking a quiz in which they scored the frequency of disfluencies in a recorded speech. Relative to baseline, all participants' rates of disfluencies decreased following training. In addition, acceptability ratings were high and all participants indicated greater willingness to participate in asynchronous training than in‐person training.