bluuebunny/crossref_metadata_2025_split huggingface dataset:
Covalent Phenanthroline‐Porphyrin Polymer for Aminocarbonylation through Electro/Thermocatalytic Tandem Processes: Extending Chemical Valorization of CO2
Authors: Li Qing , Ma Dong‐Dong , Zhou Shenghua , Wei Wen‐Bo , Han Shu‐Guo , Zhu Qi‐Long 
Published: February 2024

AbstractThe covalent organic frameworks/polymers configurated with metal‐N4 conjugated structures offer an exceptional platform for efficient electrochemical CO2 reduction reaction (eCO2RR). However, understanding the impact of the structure‐mediated local microenvironment and integrating CO2 electroreduction with follow‐up utilization toward extending chemical valorization of CO2 are still far from sufficient. Herein, a set of covalent phenanthroline‐porphyrin polymers are designed to decode the microenvironment modulation originating from built‐in structures, and the optimized one delivered an extraordinary performance for eCO2RR with ≈100% Faradaic efficiency of CO under stabilized CO2‐electrolysis of 70 h. The experimental and theoretical analyses suggest that the regulation of the Co‐N4 electronic structures and microenvironment convoys the stabilized formation of key reaction intermediate *COOH. Furthermore, through CO‐mediated electro/thermocatalytic tandem processes, the aminocarbonylation of aryl iodides and amines with high yields has been convincingly implemented over the coordinated Pd sites, which is remarkably helpful to propel extending chemical valorization of CO2.
An Artificial Olfactory Chemical‐Resistant Synapse for Training‐Free Gas Recognition
Authors: Hu Fangzhen , Cao Chenkai , Han Sancan , Wang Ding , Chen Xi 
Published: February 2024

AbstractTransferring the concept of chemical‐driven responses into artificial intelligence technology holds the key to mimicking olfactory for neuromorphic computing of chemical recognition. Currently, artificial olfactory systems are designed based on chemical sensor arrays. Time‐dependent responses of the sensor arrays are processed by artificial neural networks for recognition. However, the sensors generate instantly volatile responses, and algorithms for the processing of the time‐dependent responses have not been involved. The recognition accuracy and speed are severely impeded. A sensor array can only achieve an accuracy of 90% after at least 5 training epochs. Herein an artificial olfactory chemical‐resistant synapse consisting of 3D hierarchical WO3@WO3 nanofibers are demonstrated. The nanofibers exhibit persistent resistance responses through chemical exposures due to the strong chemisorption of water molecules. Typical synaptic behaviors including paired‐pulse facilitation, long‐term −1 short‐term memory, and learning experience have been achieved. Next, a recurrent neural network that is committed to processing the time‐dependent data is used to identify gas‐phase chemicals of 3‐hydroxy‐2‐butanone, triethylamine, and trimethylamine. Training‐free gas recognition has been realized by a WO3@WO3 nanofiber synapse only, in which the accuracy is above 90% at the first epoch. The results have great potential to satisfy stringent performance requirements on artificial perception systems.
Characterization of the Nucleus Pulposus Progenitor Cells via Spatial Transcriptomics
Authors: Chen Yu , Zhang Long , Shi Xueqing , Han Jie , Chen Jingyu , Zhang Xinya , Xie Danlin , Li Zan , Niu Xing , Chen Lijie , Yang Chaoyong , Sun Xiujie , Zhou Taifeng , Su Peiqiang , Li Na , Greenblatt Matthew B. , Ke Rongqin , Huang Jianming , Chen Zhe‐Sheng , Xu Ren 
Published: February 2024

AbstractLoss of refreshment in nucleus pulposus (NP) cellularity leads to intervertebral disc (IVD) degeneration. Nevertheless, the cellular sequence of NP cell differentiation remains unclear, although an increasing body of literature has identified markers of NP progenitor cells (NPPCs). Notably, due to their fragility, the physical enrichment of NP‐derived cells has limited conventional transcriptomic approaches in multiple studies. To overcome this limitation, a spatially resolved transcriptional atlas of the mouse IVD is generated via the 10x Genomics Visium platform dividing NP spots into two clusters. Based on this, most reported NPPC‐markers, including Cathepsin K (Ctsk), are rare and predominantly located within the NP‐outer subset. Cell lineage tracing further evidence that a small number of Ctsk‐expressing cells generate the entire adult NP tissue. In contrast, Tie2, which has long suggested labeling NPPCs, is actually neither expressed in NP subsets nor labels NPPCs and their descendants in mouse models; consistent with this, an in situ sequencing (ISS) analysis validated the absence of Tie2 in NP tissue. Similarly, no Tie2‐cre‐mediated labeling of NPPCs is observed in an IVD degenerative mouse model. Altogether, in this study, the first spatial transcriptomic map of the IVD is established, thereby providing a public resource for bone biology.
Selective Suppression of Integrin‐Ligand Binding by Single Molecular Tension Probes Mediates Directional Cell Migration
Authors: Han Seong‐Beom , Lee Geonhui , Kim Daesan , Kim Jeong‐Ki , Kim In‐San , Kim Hae‐Won , Kim Dong‐Hwee 
Published: February 2024

AbstractCell migration interacting with continuously changing microenvironment, is one of the most essential cellular functions, participating in embryonic development, wound repair, immune response, and cancer metastasis. The migration process is finely tuned by integrin‐mediated binding to ligand molecules. Although numerous biochemical pathways orchestrating cell adhesion and motility are identified, how subcellular forces between the cell and extracellular matrix regulate intracellular signaling for cell migration remains unclear. Here, it is showed that a molecular binding force across integrin subunits determines directional migration by regulating tension‐dependent focal contact formation and focal adhesion kinase phosphorylation. Molecular binding strength between integrin αvβ3 and fibronectin is precisely manipulated by developing molecular tension probes that control the mechanical tolerance applied to cell‐substrate interfaces. This data reveals that integrin‐mediated molecular binding force reduction suppresses cell spreading and focal adhesion formation, attenuating the focal adhesion kinase (FAK) phosphorylation that regulates the persistence of cell migration. These results further demonstrate that manipulating subcellular binding forces at the molecular level can recapitulate differential cell migration in response to changes of substrate rigidity that determines the physical condition of extracellular microenvironment. Novel insights is provided into the subcellular mechanics behind global mechanical adaptation of the cell to surrounding tissue environments featuring distinct biophysical signatures.
On the reduced conditions for positive consensus of second‐order multi‐agent systems
Authors: Guo Baoyin , Zhang Liangyin , Chen Michael Z. Q. , Wang Haoyu , Ye Yanyan 
Published: February 2024

AbstractThis paper investigates the reduced conditions for positivity‐preserving consensus of positive multi‐agent systems with second‐order dynamics. The solvability of the positive consensus problem (PCP) is discussed under both undirected and directed topologies, which is related to the positive stability of each agent's dynamics. Necessary and sufficient conditions are presented for continuous‐time and discrete‐time cases to solve PCP over undirected graphs. When the graph is directed, sufficient conditions for the problem solvability and a Schur stability testing method for second‐order complex matrices are provided, where the traditional Routh‐Hurwitz criteria (Jury criteria) is not suitable. Some numerical examples are presented to illustrate the theoretical results.
On the robustness of the brand positivity effect: Is impulsivity a moderator of overly favorable judgments and choices of focal options?
Authors: Posavac Steven S. , Gaffney Donald R. , Kardes Frank R. 
Published: February 2024

AbstractFive experiments were conducted to explore trait impulsivity as a possible contributor to the magnitude of the Brand Positivity Effect, and to provide a more sophisticated empirical account of the role of selective processing in driving it than reported in prior research. Although the experiments considered very different choice categories including a product, a service, an experience, and a public good, data were convergent in several ways: (a) the Brand Positivity Effect in judgment, choice intention, and non‐hypothetical choice was replicated, (b) non‐intrusive process‐tracing methodology established that selective processing is related to the magnitude of the Brand Positivity Effect, and (c) the Brand Positivity Effect was demonstrated to be a robust phenomenon that is observed regardless of individuals' trait impulsivity.
Efficacy of robot‐assisted minimally invasive stereotactic puncture therapy for supratentorial hypertensive intracerebral hemorrhage
Authors: Han Weiyi , Xie Aotan , Chen Taoli , Sun Xiao , Liu Xianzhi 
Published: February 2024

AbstractObjectiveTo evaluate the efficacy of robot‐assisted minimally invasive stereotactic puncture therapy (MISPT) for supratentorial hypertensive intracerebral hemorrhage (HICH).MethodsWe retrospectively analyzed 133 patients with supratentorial HICH treated using robot‐assisted MISPT (RM group; n = 77) or conventional craniotomy (CC group; n = 56). In our primary analysis, we evaluated the hematoma volume at discharge. In our secondary analyses, we evaluated the Glasgow Coma Scale (GCS) score at discharge; the operation time, intraparenchymal drainage catheter removal time, the length of hospital stay, and complications during hospitalization; the early and 6‐month postoperative mortality; and functional scores 6‐month postoperatively.ResultsThere were no statistical differences in the preoperative characteristics between the groups, such as age distribution (52.8 ± 9.6 vs. 55.3 ± 7.8 years), hematoma volume (38.4 ± 10.4 vs. 41.1 ± 11.0 mL), and GCS score (10.7 ± 2.2 vs. 9.8 ± 2.8). Hematoma volume at discharge did not significantly differ between the groups (2.6 ± 2.1 mL vs. 2.4 ± 2.1 mL). The GCS score at discharge was significantly higher in the RM group (13.5 ± 2.1 vs. 11.6 ± 3.1; p < .001). Operation time (40.3 ± 7.0 min vs. 143.1 ± 61.3 min;p < .001), intraparenchymal drainage catheter removal time (1.2 ± 0.4 vs. 2.1 ± 0.7 days; p < .001), and length of hospital stay (9.3 ± 2.7 vs. 11.1 ± 4.8 days; p = .013) were significantly shorter in the RM group. The incidence rates of pneumonia, gastrointestinal bleeding, and intracranial infection were significantly lower in the RM group. Although the incidence of rebleeding was lower in the RM group (1.3% vs. 5.4%), the difference was not significant. Six months after surgery, the Barthel Index, Glasgow Outcome Scale, and Karnofsky performance status scores were significantly higher, whereas the modified Rankin scale score was significantly lower in the RM group (p = .002, p = .007, p = .001, and p = .018, respectively). Two RM group patients (3.1%) and six CC group patients (12.2%) died between hospital discharge and 6 months after surgery (p = .127).ConclusionThe main advantages of robot‐assisted MISPT for supratentorial HICH were shown in minimally invasive, precision, and low incidences of complications. In addition, it may improve the prognosis significantly. Thus, it has great potential to be popularized and clinically applied in the future.
Enhancing the sensitivity of nanopipette biosensors for protein analysis
Authors: Demirtas Mustafa 
Published: February 2024

AbstractBackgroundThis paper compares experimental findings and simulation outcomes of single and multiple protein models moving through a nanopipette biosensor. It provides insights into the factors influencing the process and explores their relevance to proteomics.MethodsNanopipette biosensors were produced by pulling borosilicate glass tubes and treating them with an electron beam. A scanning electron microscope was used to characterize the nanopipettes. The study measured and modeled ionic currents for the elastase‐specific inhibitor protein. Simulation models were developed using the finite element method and Poisson–Boltzmann formalism, considering different protein configurations and translocation scenarios.ResultsThe results showed that the pore current of a nanopipette decreases as the protein approaches the nanopipette. The minimum pore current occurs at the widest part of the protein, and the current increases as the protein progresses through the nanopipette. For multiple protein translocations, the pore current decreases between the widest parts of the first and second proteins, and the lowest current is observed at the broadest part of the second protein. After the third protein, the pore current remains constant. It is also found that the fractional blockade difference, translocation speed, fluctuation in pore current, and dwell time are all affected by the number of proteins translocating through the nanopipette. The fractional blockade difference, the decrease in pore current caused by the protein, increases with the number of proteins while the translocation speed decreases. The fluctuation in pore current and dwell time is also longer for three‐protein translocations than for single‐protein translocations.ConclusionThis study offers valuable insights into biomolecule transport through nanopipettes, enhances our understanding of protein dynamics in restricted environments, and significantly contributes to single‐protein sequencing studies, drug screening, and proteomics.
Prognostic implications of HER2NEU‐low in metastatic breast cancer
Authors: Neubauer Zachary , Hasan Shaakir , Press Robert H. , Chhabra Arpit M. , Fox Jana , Bakst Richard , Simone Charles B. , Choi J. Isabelle 
Published: February 2024

AbstractIntroductionWe explored characteristics and clinical outcomes of HER2‐negative and HER2‐low metastatic breast cancers using real‐world data.MethodsWe queried the National Cancer Database to identify MBC patients that were HER2‐low or HER2‐negative per immunohistochemical staining. A binomial regression analysis identified demographic and clinical correlates of each subtype. A Cox multivariable regression analysis (MVA) and propensity‐match analysis were performed to identify correlates of survival.ResultsExcluding missing data, 24,636 MBC patients diagnosed between 2008 and 2015 were identified; 27.9% were HER2‐negative and 72.1% were HER2‐low. There were no relevant demographic differences between the groups. HER2‐low tumors were half as likely to have concomitant hormone receptor‐positive status (p < 0.01). The 3‐year survival rate among hormone receptor‐negative patients was 33.8% for HER2‐low and 32.2% for HER2‐negative (p < 0.05), and 60.9% and 55.6% in HER2‐low and HER2‐negative cases among hormone receptor‐positive patients (p < 0.05), respectively. HER2‐low cases were associated with better survival on MVA (HR =0.95, 95% CI 0.91–0.99) and remained superior with propensity‐matching (HR = 0.92, 95% CI 0.89–0.96). In a subset analysis isolated to hormone receptor‐positive cases, HER2‐low remained correlated with improved survival (HR = 0.93, 95% CI 0.89–0.98) with propensity‐matched MVA. Correlates of worse survival include older age as a continuous variable (HR = 1.02, 95% CI 1.02–1.02) and Black race (HR = 1.26, 95% CI 1.20–1.32) [all p < 0.01].ConclusionsIn the largest such analysis performed to date, our study demonstrates a small but statistically significant association with improved survival for HER2‐low tumors compared to HER2‐negative tumors in MBC.
Endogenous Production and Vibrational Analysis of Heavy‐Isotope‐Labeled Peptides from Cyanobacteria
Authors: Ricca John G. , Mayali Xavier , Qu Jing , Weber Peter K. , Poirier Gerald , Dufresne Craig P. , Louda J. William , Terentis Andrew C. 
Published: February 2024

AbstractStable isotope labeling is an extremely useful tool for characterizing the structure, tracing the metabolism, and imaging the distribution of natural products in living organisms using mass‐sensitive measurement techniques. In this study, a cyanobacterium was cultured in 15N/13C‐enriched media to endogenously produce labeled, bioactive oligopeptides. The extent of heavy isotope incorporation in these peptides was determined with LC–MS, while the overall extent of heavy isotope incorporation in whole cells was studied with nanoSIMS and AFM‐IR. Up to 98 % heavy isotope incorporation was observed in labeled cells. Three of the most abundant peptides, microcystin‐LR (MCLR), cyanopeptolin‐A (CYPA), and aerucyclamide‐A (ACAA), were isolated and further studied with Raman and FTIR spectroscopies and DFT calculations. This revealed several IR and Raman active vibrations associated with functional groups not common in ribosomal peptides, like diene, ester, thiazole, thiazoline, and oxazoline groups, which could be suitable for future vibrational imaging studies. More broadly, this study outlines a simple and relatively inexpensive method for producing heavy‐labeled natural products. Manipulating the bacterial culture conditions by the addition of specific types and amounts of heavy‐labeled nutrients provides an efficient means of producing heavy‐labeled natural products for mass‐sensitive imaging studies.
The use of a large language model to create plain language summaries of evidence reviews in healthcare: A feasibility study
Authors: Ovelman Colleen , Kugley Shannon , Gartlehner Gerald , Viswanathan Meera 
Published: February 2024

AbstractIntroductionPlain language summaries (PLSs) make complex healthcare evidence accessible to patients and the public. Large language models (LLMs) may assist in generating accurate, readable PLSs. This study explored using the LLM Claude 2 to create PLSs of evidence reviews from the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care Program.MethodsWe selected 10 evidence reviews published from 2021 to 2023, representing a range of methods and topics. We iteratively developed a prompt to guide Claude 2 in creating PLSs which included specifications for plain language, reading level, length, organizational structure, active voice, and inclusive language. PLSs were assessed for adherence to prompt specifications, comprehensiveness, accuracy, readability, and cultural sensitivity.ResultsAll PLSs met the word count. We judged one PLS as fully comprehensive; seven mostly comprehensive. We judged two PLSs as fully capturing the PICO elements; five with minor PICO errors. We judged three PLSs as accurately reporting the results; and four with minor result errors. We judged three PLSs as having major result errors for incorrectly reporting total participants. Five PLSs met the target 6th to 8th grade reading level. Passive voice use averaged 16%. All PLSs used inclusive language.ConclusionsLLMs show promise for assisting in PLS creation but likely require human input to ensure accuracy, comprehensiveness, and the appropriate nuances of interpretation. Iterative prompt refinement may improve results and address the needs of specific reviews and audiences. As text‐only summaries, the AI‐generated PLSs could not meet all consumer communication criteria, such as textual design and visual representations. Further testing should include consumer reviewers and explore how to best leverage LLM support in drafting PLS text for complex evidence reviews.
Structural Design of 3D Current Collectors for Lithium Metal Anodes: A Review
Authors: Yang Guo‐Duo , Liu Ye , Ji Xin , Zhou Su‐Min , Wang Zhuo , Sun Hai‐Zhu 
Published: February 2024

AbstractDue to the ultrahigh theoretical specific capacity (3860 mAh g−1) and low redox potential (−3.04 V vs. standard hydrogen electrode), Lithium (Li) metal anode (LMA) received increasing attentions. However, notorious dendrite and volume expansion during the cycling process seriously hinder the development of high energy density Li metal batteries. Constructing three‐dimensional (3D) current collectors for Li can fundamentally solve the intrinsic drawback of hostless for Li. Therefore, this review systematically introduces the design and synthesis engineering and the current development status of different 3D collectors in recent years (the current collectors are divided into two major parts: metal‐based current collectors and carbon‐based current collectors). In the end, some perspectives of the future promotion for LMA application are also presented.
La‐doped Porous Fe2O3 Nanorods as Advanced Anodes for Lithium/Sodium Ion Batteries and Sulfur Host for Li‐Sulfur Batteries
Authors: Wang Feng , Li Aihua , Huang Wei , Qiu Na , Lin Qiaoli 
Published: February 2024

AbstractTransition metal oxides are investigated as electrochemically active anodes for several years due to the merits of high specific capacity, low cost, abundant resources and controllable synthesis. But the poor cycle performances have hindered their further wide application. Herein, porous La‐doped FeOOH nanorods have been synthesized through a facile hydrothermal method, which could be transformed into porous La‐doped Fe2O3 (Fe2O3‐La) via a simple heating process. Compared with the undoped Fe2O3, the Fe2O3‐La showed larger surface area, higher specific capacities and more stable cycle performances for lithium/sodium ion batteries. In addition, as an advanced sulfur host for lithium‐sulfur batteries, the Fe2O3‐La also displayed much more excellent cycle and rate performances than the undoped Fe2O3. The superior electrochemical performances of the Fe2O3‐La may could be attributed to the doping of La, which could induce more porous morphology and offer more reactive sites. The positive effects of La‐doping for electrochemical performances of porous Fe2O3 nanorods provide novel insights for further applications of rare earth metal doping.
An improved state‐space average model of the ultra‐high voltage inverter based on wavelet decomposition and reconstruction
Authors: Ding Hao , Xie Fan , Zhang Bo , Qiu Dongyuan , Chen Yanfeng , Xiao Wenxun 
Published: February 2024

SummaryUltra‐high voltage inverters are widely used as grid‐connected devices in new energy grids, and the state‐space average model is the most practical modeling method for the inverter. However, the accuracy of this modeling method is significantly reduced because it ignores the high‐frequency switching process, which contains overshoot voltage and other factors that affect system stability. Moreover, the amplitude of the overshoot voltage in the ultra‐high voltage inverter will be huge, which may lead to the damage to switching devices, circuit overheating, and even the collapse of the system. Therefore, the wavelet decomposition and reconstruction methods are used in this paper to extract the transient characteristics of the inverter and integrate them into the state‐space average model. Compared with the traditional state‐space average model, the improved model method can obtain a more accurate overshoot voltage peak value with the same simulation step size. Then, it can provide a more precise reference for the withstand voltage in the device selection of a high voltage level system. The single‐phase full‐bridge inverter is taken as an example to illustrate the construction process based on the wavelet decomposition and reconstruction method. Finally, the simulation waveform is verified to be in good agreement with the experiment.