bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconfigurable Tri‐Mode Metasurface for Broadband Low Observation, Wide‐Range Tracing, and Backscatter Communication
Authors: Ning Jing , Zheng Yilin , Wang Shaojie , Jiang Tian , Zhao Junming , Chen Ke , Feng Yijun 
Published: February 2024

AbstractIn the current prevalent complex electromagnetic (EM) environment, intelligent methods for versatile and integrated control of EM waves using compact devices are both essential and challenging. These varied wave control objectives can at times conflict with one another, such as the need for broad absorption to remain inconspicuous, while also requiring enhanced backward scattering for highly reliable tracing and secure communication. To address these sophisticated challenges, a microwave‐frequency reconfigurable tri‐mode metasurface (RTMM) is introduced. The proposed innovation enables three distinct operational modes: broadband low observation, enhanced EM wave tracing, and backscatter communication over a wide‐angle range by simple control of the PIN diodes embedded in each meta‐atom. The proof‐of‐concept demonstration of the fabricated prototype verified the switchable tri‐mode performance of the RTMM. This proposed RTMM can be adapted to various applications, including EM shielding, target detection, and secure communication in complex and threatening EM environments, paving the way for environmentally‐adaptive EM wave manipulation.
Inflammatory Fibroblast‐Like Synoviocyte‐Derived Exosomes Aggravate Osteoarthritis via Enhancing Macrophage Glycolysis
Authors: Liu Bin , Xian Yansi , Chen Xiang , Shi Yong , Dong Jian , Yang Lin , An Xueying , Shen Tao , Wu Wenshu , Ma Yuze , He Yi , Gong Wang , Peng Rui , Lin Jiaquan , Liu Na , Guo Baosheng , Jiang Qing 
Published: February 2024

AbstractThe severity of osteoarthritis (OA) and cartilage degeneration is highly associated with synovial inflammation. Although recent investigations have revealed a dysregulated crosstalk between fibroblast‐like synoviocytes (FLSs) and macrophages in the pathogenesis of synovitis, limited knowledge is available regarding the involvement of exosomes. Here, increased exosome secretion is observed in FLSs from OA patients. Notably, internalization of inflammatory FLS‐derived exosomes (inf‐exo) can enhance the M1 polarization of macrophages, which further induces an OA‐like phenotype in co‐cultured chondrocytes. Intra‐articular injection of inf‐exo induces synovitis and exacerbates OA progression in murine models. In addition, it is demonstrated that inf‐exo stimulation triggers the activation of glycolysis. Inhibition of glycolysis using 2‐DG successfully attenuates excessive M1 polarization triggered by inf‐exo. Mechanistically, HIF1A is identified as the determinant transcription factor, inhibition of which, both pharmacologically or genetically, relieves macrophage inflammation triggered by inf‐exo‐induced hyperglycolysis. Furthermore, in vivo administration of an HIF1A inhibitor alleviates experimental OA. The results provide novel insights into the involvement of FLS‐derived exosomes in OA pathogenesis, suggesting that inf‐exo‐induced macrophage dysfunction represents an attractive target for OA therapy.
Synergistic Performance Boosts of Dopamine‐Derived Carbon Shell Over Bi‐metallic Sulfide: A Promising Advancement for High‐Performance Lithium‐Ion Battery Anodes
Authors: Bhattarai Roshan Mangal , Le Nghia , Chhetri Kisan , Acharya Debendra , Pandiyarajan Sudhakaran Moopri Singer , Saud Shirjana , Kim Sang Jae , Mok Young Sun 
Published: February 2024

AbstractA CoMoS composite is synthesized to combine the benefits of cobalt and molybdenum sulfides as an anodic material for advanced lithium‐ion batteries (LIBs). The synthesis is accomplished using a simple two‐step hydrothermal method and the resulting CoMoS nanocomposites are subsequently encapsulated in a carbonized polydopamine shell. The synthesis procedure exploited the self‐polymerization ability of dopamine to create nitrogen‐doped carbon‐coated cobalt molybdenum sulfide, denoted as CoMoS@NC. Notably, the de‐lithiation capacity of CoMoS and CoMoS@NC is 420 and 709 mAh g⁻1, respectively, even after 100 lithiation/de‐lithiation cycles at a current density of 200 mA g⁻1. Furthermore, excellent capacity retention ability is observed for CoMoS@NC as it withstood 600 consecutive lithiation/de‐lithiation cycles with 94% capacity retention. Moreover, a LIB full‐cell assembly incorporating the CoMoS@NC anode and an NMC‐532 cathode is subjected to comprehensive electrochemical and practical tests to evaluate the performance of the anode. In addition, the density functional theory showcases the increased lithium adsorption for CoMoS@NC, supporting the experimental findings. Hence, the use of dopamine as a nitrogen‐doped carbon shell enhanced the performance of the CoMoS nanocomposites in experimental and theoretical tests, positioning the material as a strong candidate for LIB anode.
Nanotherapeutics for Alleviating Anesthesia‐Associated Complications
Authors: Lu Bin , Wei Ling , Shi Gaoxiang , Du Jiangfeng 
Published: February 2024

AbstractCurrent management of anesthesia‐associated complications falls short in terms of both efficacy and safety. Nanomaterials with versatile properties and unique nano‐bio interactions hold substantial promise as therapeutics for addressing these complications. This review conducts a thorough examination of the existing nanotherapeutics and highlights the strategies for developing prospective nanomedicines to mitigate anesthetics‐related toxicity. Initially, general, regional, and local anesthesia along with the commonly used anesthetics and related prevalent side effects are introduced. Furthermore, employing nanotechnology to prevent and alleviate the complications of anesthetics is systematically demonstrated from three aspects, that is, developing 1) safe nano‐formulization for anesthetics; 2) nano‐antidotes to sequester overdosed anesthetics and alter their pharmacokinetics; 3) nanomedicines with pharmacodynamic activities to treat anesthetics toxicity. Finally, the prospects and challenges facing the clinical translation of nanotherapeutics for anesthesia‐related complications are discussed. This work provides a comprehensive roadmap for developing effective nanotherapeutics to prevent and mitigate anesthesia‐associated toxicity, which can potentially revolutionize the management of anesthesia complications.
Cost‐Effective 3D‐Printed Bionic Hydrogel Evaporator for Stable Solar Desalination
Authors: Zhang Shuang , Li Meng , Jiang Chaorui , Zhu Dandan , Zhang Zhihui 
Published: February 2024

AbstractSolar desalination using hydrogel evaporators is an eco‐friendly, highly efficient means with natural sunlight for sustainable freshwater production. However, it remains challenging to develop a cost‐effective and scalable method to prepare salt‐resistant hydrogel evaporators for stable desalination. Here, inspired by tree transpiration and hierarchical porous structure, a 3D‐printed bionic hydrogel evaporator (3DP‐BHE) is designed for long‐term solar desalination. Commercialized activated carbon (AC) is introduced into biomass starch skeleton as a solar light absorber to build 3DP‐BHE in a cost‐effective fashion ($10.14 m−2 of total materials cost). The bionic tree leaf layer for 94.01% light absorption and timely vapor diffusion. The bionic tree trunk layer with 3D printed bimodal porous structure for water transfer, thermal isolation, and salt ions convection and diffusion. With the unique bionic structure, the 3DP‐BHE achieves a stable evaporation rate of 2.13 kg m−2 h−1 at ≈90.5% energy efficiency under one sun (1 kW m−2). During the 7‐day desalination of 10 wt.% brine, a steady evaporation rate of 1.98 kg m−2 h−1 is maintained with a record‐high cost‐effectiveness (195.3 g h−1 $−1) manner. This 3DP‐BHE will open significant opportunities for affordable solar desalination systems on multiple scales, from individual households to off‐grid communities.
Pharmacological Polarization of Tumor‐Associated Macrophages Toward a CXCL9 Antitumor Phenotype
Authors: Enbergs Noah , Halabi Elias A. , Goubet Anne‐Gaëlle , Schleyer Kelton , Fredrich Ina R. , Kohler Rainer H. , Garris Christopher S. , Pittet Mikaël J. , Weissleder Ralph 
Published: February 2024

AbstractTumor‐associated macrophages (TAM) are a diverse population of myeloid cells that are often abundant and immunosuppressive in human cancers. CXCL9Hi TAM has recently been described to have an antitumor phenotype and is linked to immune checkpoint response. Despite the emerging understanding of the unique antitumor TAM phenotype, there is a lack of TAM‐specific therapeutics to exploit this new biological understanding. Here, the discovery and characterization of multiple small‐molecule enhancers of chemokine ligand 9 (CXCL9) and their targeted delivery in a TAM‐avid systemic nanoformulation is reported. With this strategy, it is efficient encapsulation and release of multiple drug loads that can efficiently induce CXCL9 expression in macrophages, both in vitro and in vivo in a mouse tumor model. These observations provide a window into the molecular features that define TAM‐specific states, an insight a novel therapeutic anticancer approach is used to discover.
Electric, Optoelectronic, and Thermoelectric Properties of Moiré Superlattices of Bilayer Borophene with Different Twist Angles
Authors: Song Jizhe , Wang Jingang , Yu Jing , Sun Mengtao 
Published: February 2024

AbstractIn this study, the electrical, optoelectronic, and thermoelectric properties of bilayer borophene moiré superlattices at different twist angles are investigated in detail. The results reveal that the transport properties of bilayer borophene are significantly impacted by different twist angles. Specifically, the device with 30° is of better transport properties compared to the two devices, due to the absence of interlayer covalent bond. The study reveals the essential influence of twist angle on the moiré superlattice of bilayer borophene and provides a theoretical basis for its potential applications in electronic, optoelectronic, and thermoelectric devices.
Progress in Single/Multi Atoms and 2D‐Nanomaterials for Electro/Photocatalytic Nitrogen Reduction: Experimental, Computational and Machine Leaning Developments
Authors: Singh Aditya Narayan , Anand Rohit , Zafari Mohammad , Ha Miran , Kim Kwang S. 
Published: February 2024

AbstractThe conversion of atmospheric nitrogen (N2) into ammonia (NH3), known as nitrogen fixation, plays a crucial role in sustaining life on Earth, facing innovation with electrocatalytic and photocatalytic methods. These approaches promise gentler conversions from atmospheric nitrogen to ammonia, diverging from the energy‐intensive Haber‐Bosch process, which requires complex plant infrastructure. Vitality lies in eco‐friendly, cost‐effective, and energy‐efficient pathways. The challenge is that electrocatalysts and photocatalysts for nitrogen reduction have shown low Faraday efficiency, hampered by hydrogen evolution. This work delves into recent strides in electro/photo‐catalytic nitrogen fixation/reduction, deciphering mechanisms, catalysts, and prospects. By unveiling the core principles steering these processes, it dissects efficiency drivers. Experimental and theoretical studies, ranging from density functional calculations/simulations to machine learning‐based catalyst screening, mark the path toward highly efficient catalysts, including single/multi‐atom catalysts embedded in 2D materials. The journey explores diverse catalysts, assessing their performance, spotlighting emerging nanomaterials, heterostructures, and co‐catalyst techniques. Perspectives on future directions and potential applications of electro/photo‐catalytic nitrogen fixation/reduction are offered, by emphasizing their role in sustainable nitrogen management and their implications for global agriculture and environmental sustainability.
Ionic liquid binary mixtures: Machine learning‐assisted modeling, solvent tailoring, process design, and optimization
Authors: Chen Yuqiu , Ma Sulei , Lei Yang , Liang Xiaodong , Liu Xinyan , Kontogeorgis Georgios M. , Gani Rafiqul 
Published: February 2024

AbstractThis work conducts a comprehensive modeling study on the viscosity, density, heat capacity, and surface tension of ionic liquid (IL)‐IL binary mixtures by combining the group contribution (GC) method with three machine learning algorithms: artificial neural network, XGBoost, and LightGBM. A large number of experimental data from reliable open sources is exhaustively collected to train, validate, and test the proposed ML‐based GC models. Furthermore, the Shapley Additive Explanations technique is employed to quantify the influential factors behind all the studied properties. Finally, these ML‐based GC models are sequentially integrated into computer‐aided mixed solvent design, process design, and optimization through an industrial case study of recovering hydrogen from raw coke oven gas. Optimization results demonstrate their high computational efficiency and integrability in solvent and process design, while also highlighting the significant potential of IL‐IL binary mixtures in practical applications.
Long‐term follow‐up of VIALE‐A: Venetoclax and azacitidine in chemotherapy‐ineligible untreated acute myeloid leukemia
Authors: Pratz Keith W. , Jonas Brian A. , Pullarkat Vinod , Thirman Michael J. , Garcia Jacqueline S. , Döhner Hartmut , Récher Christian , Fiedler Walter , Yamamoto Kazuhito , Wang Jianxiang , Yoon Sung‐Soo , Wolach Ofir , Yeh Su‐Peng , Leber Brian , Esteve Jordi , Mayer Jiri , Porkka Kimmo , Illés Árpád , Lemoli Roberto M. , Turgut Mehmet , Ku Grace , Miller Catherine , Zhou Ying , Zhang Meng , Chyla Brenda , Potluri Jalaja , DiNardo Courtney D. 
Published: February 2024

AbstractVenetoclax‐azacitidine is approved for treatment of patients with newly diagnosed acute myeloid leukemia (AML) ineligible for intensive chemotherapy based on the interim overall survival (OS) analysis of the VIALE‐A study (NCT02993523). Here, long‐term follow‐up is presented to address survival benefit and long‐term outcomes with venetoclax‐azacitidine. Patients with newly diagnosed AML who were ineligible for intensive chemotherapy were randomized 2:1 to receive venetoclax‐azacitidine or placebo‐azacitidine. OS was the primary endpoint; complete remission with/without blood count recovery (CR/CRi) was a key secondary endpoint. This final analysis was conducted when 100% of the predefined 360 OS events occurred. In VIALE‐A, 431 patients were enrolled to venetoclax‐azacitidine (n = 286) or placebo‐azacitidine (n = 145). At 43.2 months median follow‐up, median OS was 14.7 months (95% confidence interval [CI], 12.1–18.7) with venetoclax‐azacitidine, and 9.6 months (95% CI, 7.4–12.7) with placebo‐azacitidine (hazard ratio, 0.58 [95% CI, 0.47–0.72], p < .001); the estimated 24‐month OS rate was 37.5% and 16.9%, respectively. Median OS for patients with IDH1/2 mutations and those with measurable residual disease responses was reached in this final analysis. CR/CRi rate was similar to interim analysis. Any‐grade hematologic and gastrointestinal adverse events were most common in venetoclax‐azacitidine and placebo‐azacitidine arms, including thrombocytopenia (47% and 42%) and neutropenia (43% and 29%). No new safety signals were identified. Long‐term efficacy and safety confirm venetoclax‐azacitidine is an improvement in standard‐of‐care for patients with AML who are not eligible for intensive chemotherapy because of advanced age or comorbidities.
Liquid organic hydrogen carriers: Process design and economic analysis for manufacturing N‐ethylcarbazole
Authors: Uijthof E. M. T. , Chavan B. S. , Sluijer M. J. , Komath V. C. , van der Ham A. G. J. , van den Berg H. , Lange J.‐P. , Higler A. , Wijnans S. 
Published: February 2024

AbstractThis paper revisits the economics of manufacturing N‐ethylcarbazole (NEC), a strong candidate for large‐scale liquid organic hydrogen carrier (LOHC) supply chains, because of its high H2 storage capacity (6 wt%), selective hydrogenation and dehydrogenation reactions, and favorable reaction enthalpy and reaction temperatures compared to other LOHC systems. Two different process routes for producing NEC from industrial chemicals are selected out of 10 possible options: one using aniline and the other using cyclohexanone and nitrobenzene as feedstock. The required capital and operational costs are estimated to determine a NEC break‐even cost for a capacity of 225 ktpa. NEC break‐even costs of $3.0 and $2.6 per kg LOHC are found for the routes. This is significantly less than the $40/kg cost that has generally been reported in literature for NEC, thus improving the economic viability of using NEC as LOHC. The total fixed capital costs are estimated to be $200 MM and $250 MM. Furthermore, the prices of the feedstock show the largest influence (76% and 72%) on the final NEC break‐even costs. The overall LOHC price contribution to the levelized H2 cost is estimated to be $0.77–$0.90 per kg H2 for a 60‐day roundtrip and $0.09–$0.10 per kg H2 for a 7‐day roundtrip. It is important to note that both routes rely heavily on laboratory scale data and the corresponding assumptions that stem from this limitation. Therefore, this research can serve as a guide to future experimental studies into validating the key assumptions made for this analysis.
Selective Intracellular Delivery of Antibodies in Cancer Cells with Nanocarriers Sensing Endo/Lysosomal Enzymatic Activity
Authors: Chen Pengwen , Yang Wenqian , Mochida Yuki , Li Shangwei , Hong Taehun , Kinoh Hiroaki , Kataoka Kazunori , Cabral Horacio 
Published: February 2024

AbstractThe differential enzymatic activity in the endo/lysosomes of particular cells could trigger targeted endosomal escape functions, enabling selective intracellular protein delivery. However, this strategy may be jeopardized due to protein degradation during endosomal trafficking. Herein, using custom made fluorescent probes to assess the endosomal activity of cathepsin B (CTSB) and protein degradation, we found that certain cancer cells with hyperacidified endosomes grant a spatiotemporal window where CTSB activity surpass protein digestion. This inspired the engineering of antibody‐loaded polymeric nanocarriers having CTSB‐activatable endosomal escape ability. The nanocarriers selectively escaped from the endo/lysosomes in the cells with high endosomal CTSB activity and delivered active antibodies to intracellular targets. This study provides a viable strategy for cell‐specific protein delivery using stimuli‐responsive nanocarriers with controlled endosomal escape.
Bioinspired Selenium‐Nitrogen Exchange (SeNEx) Click Chemistry Suitable for Nanomole‐Scale Medicinal Chemistry and Bioconjugation
Authors: Hou Wei , Zhang Yiyuan , Huang Fuchao , Chen Wanting , Gu Yuang , Wang Yan , Pang Jiacheng , Dong Hewei , Pan Kangyin , Zhang Shuning , Ma Peixiang , Xu Hongtao 
Published: February 2024

AbstractClick chemistry is a powerful molecular assembly strategy for rapid functional discovery. The development of click reactions with new connecting linkage is of great importance for expanding the click chemistry toolbox. We report the first selenium‐nitrogen exchange (SeNEx) click reaction between benzoselenazolones and terminal alkynes (Se−N to Se−C), which is inspired by the biochemical SeNEx between Ebselen and cysteine (Cys) residue (Se−N to Se−S). The formed selenoalkyne connection is readily elaborated, thus endowing this chemistry with multidimensional molecular diversity. Besides, this reaction is modular, predictable, and high‐yielding, features fast kinetics (k2≥14.43 M−1 s−1), excellent functional group compatibility, and works well at miniaturization (nanomole‐scale), opening up many interesting opportunities for organo‐Se synthesis and bioconjugation, as exemplified by sequential click chemistry (coupled with ruthenium‐catalyzed azide‐alkyne cycloaddition (RuAAC) and sulfur‐fluoride exchange (SuFEx)), selenomacrocycle synthesis, nanomole‐scale synthesis of Se‐containing natural product library and DNA‐encoded library (DEL), late‐stage peptide modification and ligation, and multiple functionalization of proteins. These results indicated that SeNEx is a useful strategy for new click chemistry developments, and the established SeNEx chemistry will serve as a transformative platform in multidisciplinary fields such as synthetic chemistry, material science, chemical biology, medical chemistry, and drug discovery.
Algorithms in selection decisions: Effective, but unappreciated
Authors: Rabinovitch Hagai , Budescu David V. , Meyer Yoella Bereby 
Published: February 2024

AbstractSelection decisions are often affected by irrelevant variables such as gender or race. People can discount this irrelevant information by adjusting their predictions accordingly, yet they fail to do so intuitively. In five online studies (N = 1077), participants were asked to make selection decisions in which the selection test was affected by irrelevant attributes. We examined whether in such decisions people are willing to be advised by algorithms, human advisors or prefer to decide without advice. We found that people fail to adjust for irrelevant information by themselves, and those who received advice from an algorithm or human advisor made better decisions. Interestingly, although most participants stated they prefer advice from human advisors, they tend to rely equally on algorithms in actual selection tasks. The sole exception is when they are forced to choose between an algorithm and a human advisor. In that case, they pick human advisors. We conclude that while algorithms may not be people's preferred source of advice in selection decisions, they are equally useful and can be implemented.
HESI workshop summary: Interpretation of developmental and reproductive toxicity endpoints and the impact on data interpretation of adverse events
Authors: Green M. L. , Kluever A. , Chen Connie , Dobreniecki S. , Halpern Wendy , Hannas Bethany , Hoberman Alan , McNerney M. E. , Mitchell‐Ryan S. , Shafer T. J. , Van Cruchten Steven , White Tacey 
Published: February 2024

AbstractThe Health and Environmental Sciences Institute Developmental and Reproductive Toxicology (HESI‐DART) group held a hybrid in‐person and virtual workshop in Washington, DC, in 2022. The workshop was entitled, “Interpretation of DART in Regulatory Contexts and Frameworks.” There were 154 participants (37 in person and 117 virtual) across 9 countries. The purpose of the workshop was to capture key consensus approaches used to assess DART risks associated with chemical product exposure when a nonclinical finding is identified. The decision‐making process for determining whether a DART endpoint is considered adverse is critical because the outcome may have downstream implications (e.g., increased animal usage, modifications to reproductive classification and pregnancy labeling, impact on enrollment in clinical trials and value chains). The workshop included a series of webinar modules to train and engage in discussions with federal and international regulators, clinicians, academic investigators, nongovernmental organizations, contract research organization scientists, and private sector scientists on the best practices and principles of interpreting DART and new approach methodologies in the context of regulatory requirements and processes. Despite the differences in regulatory frameworks between the chemical and pharmaceutical sectors, the same foundational principles for data interpretation should be applied. The discussions led to the categorization of principles, which offer guidance for the systematic interpretation of data. Step 1 entails identifying any hazard by closely analyzing the data at the study endpoint level, while Step 2 involves assessing risk using weight of evidence. These guiding principles were derived from the collective outcomes of the workshop deliberations.