bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entangled Mesh Hydrogels with Macroporous Topologies via Cryogelation for Rapid Atmospheric Water Harvesting
Authors: Sun Jiajun , Ni Feng , Gu Jincui , Si Muqing , Liu Depeng , Zhang Chang , Shui Xiaoxue , Xiao Peng , Chen Tao 
Published: April 2024

AbstractSorption‐based atmospheric water harvesting (SAWH) is a promising technology to alleviate freshwater scarcity. Recently, hygroscopic salt‐hydrogel composites (HSHCs) have emerged as attractive candidates with their high water uptake, versatile designability, and scale‐up fabrication. However, achieving high‐performance SAWH applications for HSHCs has been challenging because of their sluggish kinetics, attributed to their limited mass transport properties. Herein, a universal network engineering of hydrogels using a cryogelation method is presented, significantly improving the SAWH kinetics of HSHCs. As a result of the entangled mesh confinements formed during cryogelation, a stable macroporous topology is attained and maintained within the obtained entangled‐mesh hydrogels (EMHs), leading to significantly enhanced mass transport properties compared to conventional dense hydrogels (CDHs). With it, corresponding hygroscopic EMHs (HEMHs) simultaneously exhibit faster moisture sorption and solar‐driven water desorption. Consequently, a rapid‐cycling HEMHs‐based harvester delivers a practical freshwater production of 2.85 Lwater kgsorbents−1 day−1 via continuous eight sorption/desorption cycles, outperforming other state‐of‐the‐art hydrogel‐based sorbents. Significantly, the generalizability of this strategy is validated by extending it to other hydrogels used in HSHCs. Overall, this work offers a new approach to efficiently address long‐standing challenges of sluggish kinetics in current HSHCs, promoting them toward the next‐generation SAWH applications.
A Bioinspired Dopamine‐Amorphous Calcium Phosphate Coating on Titanium Implant for Osteogenesis and Angiogenesis
Authors: Wu Wenjing , Feng Yanhuizhi , Ni Bing 
Published: April 2024

AbstractTitanium (Ti) is widely used in dental implantation. However, their lack of biological activity causes significant clinical risks associated with immediate loading and early osteointegration failure. Amorphous calcium phosphate (ACP) is reported to be a precursor of bone mineralization. Dopamine (dopa) is well known to possess strong adhesive force in natural mussels. Combining the bio‐related advantages of these materials, a dopa‐polyacrylic acid (PAA)‐ACP hybrid material on the surface of the Ti plate is judiciously fabricated. The biological adhesiveness of dopa to graft it together with PAA onto the surface of Ti is utilized. Then, the dopa‐PAA layer serves as a matrix to grow ACP species. The modified interface allows for regulations of bioactivities. MC3T3‐E1 osteoblast (MC3T3) cells indeed show improved cell proliferation and adhesion abilities on the Ti with dopa‐PAA‐ACP coatings compared to those on bare Ti or Ti with only dopa‐PAA coating. The osteogenic potential of MC3T3 cells is also considerably upregulated on dopa‐PAA‐ACP coatings. Moreover, human umbilical vein endothelial cells (HUVECs) on dopa‐PAA‐ACP coatings show higher levels of angiogenic markers. This report proves that dopa‐PAA‐ACP composite is a new and simple bioactive titanium coating to facilitate osteogenesis and angiogenesis for dental applications.
Wearable Multi‐Plied Potentiometric Sensor based on Carbon Nanotube Yarn for Electronic Tongue
Authors: Gwac Hocheol , Jang Yongwoo , Moon Ji Hwan , Kim Seon Jeong 
Published: April 2024

AbstractWearable ion‐selective potentiometric sensors have received considerable interest in enabling taste sensing in robots and for monitoring abnormal conditions, such as poor water quality, spoiled food (freshness), and microbial contamination. Despite advances in wearable ion‐selective sensors, the production of a stretchable and miniaturized ion‐selective sensor to detect various ions remains a challenge for practical applications. Herein, a stretchable multi‐ply potentiometric sensor is reported based on ion‐selective coiled yarn (ISCY) with Carbon nanotube. Three types of ISCYs show high sensitivity and selectivity toward a specific target ion, such as K+, Na+, and H+. The sensitivity and selectivity are maintained even at 27% strain and under mechanical deformation, such as being bent by 180° or tied into a knot. Furthermore, an attempt is made to miniaturize the sensor into a single fiber by plying three types of ISCYs and a reference electrode together. This multi‐ion potentiometric sensor is successfully woven into fabrics, such as clothes or gloves, and exhibits a functional sensing performance in various water‐based solutions (sea, river, tap, and distilled waters) and fruit juices as practical applications. These results suggest that this potentiometric sensor has a high potential application as a taste sensor and a monitoring sensor in an electronic tongue.
DIMOND: DIffusion Model OptimizatioN with Deep Learning
Authors: Li Zihan , Li Ziyu , Bilgic Berkin , Lee Hong‐Hsi , Ying Kui , Huang Susie Y. , Liao Hongen , Tian Qiyuan 
Published: April 2024

AbstractDiffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non‐invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. Nonetheless, accurate estimation of model parameters is computationally expensive and impeded by image noise. Supervised deep learning‐based estimation approaches exhibit efficiency and superior performance but require additional training data and may be not generalizable. A new DIffusion Model OptimizatioN framework using physics‐informed and self‐supervised Deep learning entitled “DIMOND” is proposed to address this problem. DIMOND employs a neural network to map input image data to model parameters and optimizes the network by minimizing the difference between the input acquired data and synthetic data generated via the diffusion model parametrized by network outputs. DIMOND produces accurate diffusion tensor imaging results and is generalizable across subjects and datasets. Moreover, DIMOND outperforms conventional methods for fitting sophisticated microstructural models including the kurtosis and NODDI model. Importantly, DIMOND reduces NODDI model fitting time from hours to minutes, or seconds by leveraging transfer learning. In summary, the self‐supervised manner, high efficacy, and efficiency of DIMOND increase the practical feasibility and adoption of microstructure and connectivity mapping in clinical and neuroscientific applications.
Biphenylene and 1‐Azabiphenylene as a Platform for Synthesis of Azapolyaromatic Compounds
Authors: Polák Peter , Cadart Timothée , Nečas David , Kotora Martin 
Published: April 2024

AbstractAttempts to carry out intramolecular annulation of 9,10‐diarylbenzo[h]quinolines and 9,10‐di(hetero)arylphenanthrenes to aromatics with expanded π‐conjugated systems by using different methods are described. The starting compounds (9,10‐diarylbenzo[h]quinolines and 9,10‐di(hetero)arylphenanthrenes) were prepared by C−C bond activation in 1‐azabiphenylene or biphenylene followed by insertion of internal alkynes. Interestingly, unlike in purely carbon‐based aromatics, the course of the annulation turned out to be highly dependent on the structure of maternal compounds. In a handful of cases were obtained the expected or desired products. In others, unexpected rearrangements of the basic molecular frameworks were observed.
Antimatter Gravity and the Results of the ALPHA‐g Experiment
Authors: Villata Massimo 
Published: April 2024

AbstractBy combining general relativity and CPT symmetry, the theory of CPT gravity predicts gravitational repulsion between matter and CPT‐transformed matter, i.e., antimatter inhabiting an inverted space‐time. Such repulsive gravity turned out to be an excellent candidate for explaining the accelerated expansion of the Universe, without the need for dark energy. The recent results of the ALPHA‐g experiment, which show gravitational attraction between antihydrogen atoms and the Earth, seem to undermine this success in the cosmological field. Analyzing the above theory, two solutions are found that can be consistent with the experimental results, while preserving the large‐scale gravitational repulsion. The first highlights how repulsive gravity can be the result of the interaction with an inverted space‐time, but occupied by matter and not antimatter, and therefore the antimatter present in our space‐time has no reason to exhibit gravitational repulsion. The second retains the original CPT transformation, resulting in repulsive gravity between matter and antimatter, but with the caveat that antimatter immersed in our space‐time cannot exhibit the PT transformation which is the cause of the repulsion. Finally, it is shown that, in a Newtonian approximation of the geodesic equation, time reversal is not a necessary operation for repulsive gravity, therefore opening the possibility of an expanding cosmos with a single time direction.
Application of hydrophobic selective stimuli‐responsive polymer membranes in organic pollutant treatment in aqueous phase
Authors: Gan Zhenjie , Ma Shuxiu , Zhang Yinlong , Wang Yuzhou , Liu Wenbo , Cao Jiliang , Li Na 
Published: April 2024

AbstractBoth hydrophobic and hydrophilic pollutions have damage on our environment, and it is necessary to remove them. However, the treatments for different water pollutions can be specific due to the hydrophobicity of various molecules. Therefore, it is important to separate pollutants with different hydrophobicity. In this work, we developed a diffusion separation method based on hydrophobicity selectivity polymer membranes, whose selectivity between hydrophilic and hydrophobic pollutants can be up to more than 100. By doping pH‐responsive monomer into hydrophobic polymer membrane, the permeability of membrane can be tuned by surrounding pH, and the selectivity is not decreasing. With the results of characteristics on contact angle, scanning electron microscope, and mechanical properties, we prove the stimuli‐responsive polymer membrane at different states have similar properties with the nonresponsive amorphous polymer membranes with high separation selectivity.
Computational basis of TEAD‐3 protein noncovalent inhibition: 3D‐QSAR modeling and molecular dynamics simulation
Authors: Kaviani Bita , Dehkordi Marzieh Ghani , Haghshenas Hamed 
Published: April 2024

AbstractThe tumor‐suppressing phosphorylation cascade is primarily regulated by transcriptional enhanced associate domain (TEAD) transcription factors, and the overexpression of these factors is associated with tumorigenesis and cancer progression. The central pocket of TEAD protein can be targeted by noncovalent inhibitors, and therefore, investigating the interaction patterns for TEAD and its available inhibitors seems essential. In this regard, molecular dynamics simulations were conducted to identify the most potent TEAD3 noncovalent inhibitors and to study TEAD3–inhibitor interaction patterns. We developed a 3D‐quantitative structure–activity relationship model to investigate the structure–activity correlation for the available TEAD3 inhibitors. Our results indicated the role of Tyr230, Val317, Thr333, Met367, Cys368, Met371, Phe394, Ile396, Gln398, and Phe416 residues in TEAD3–inhibitor interactions. Dihydropyrazolo pyrimidines and compound 2 were identified as the most potent TEAD3 noncovalent inhibitors. The Comparative Molecular Field Analysis model analysis identified the hydrophobic‐favored regions around the pyrazolo[1,5‐a]pyrimidin‐7(4H)‐one ring and the unfavored steric regions around cyclohexane and phenyl groups of dihydropyrazolo pyrimidines.
Product type and anticipated regret: The key to unlocking consumer upgrade intention
Authors: Zhang Xuan , Chen Hanyu , Ma Jianuo 
Published: April 2024

AbstractAs products are constantly updated, brands launch increasingly different versions thereof, and consumers frequently face upgrade choices. However, when and why consumers choose to upgrade has received limited attention. This article thus sheds new light on consumer upgrade intention by distinguishing a novel antecedent, product type (material vs. experiential). Three online studies with 642 participants from the US were conducted; we used t‐tests and bootstrapped mediation analysis via PROCESS Model 4 to analyze the data. The results of these studies reveal that consumers are more likely to upgrade experiential products than material products. Moreover, this effect is mediated by a heightened sense of anticipated regret rather than upgrade degree or perceived product closeness. Specifically, consumers feel greater anticipated regret if they do not upgrade experiential products (vs. material products), which leads to their higher upgrade intentions toward experiential products. This research therefore significantly extends regret regulation theory, provides important insights into the relationship between product type and upgrade intention, and offers valuable knowledge for brands seeking to optimize their marketing strategies.
Synthesis, Characterization, Molecular Docking, and Investigation of Antibacterial Properties of New Derivatives of 1‐H‐Phenanthro [9,10‐d] Imidazole
Authors: Mahmoodi Nosrat O. , Rajabi Anahita , Nyaki Hadiseh Yazdani , Nahzomi Hossein Taherpour 
Published: April 2024

AbstractIn this study, several imidazole derivatives in one pot multicomponent reaction from various aldehydes 1(a–z), 9,10‐phenanthrenequinone, or benzyl (2), and ammonium acetate (3) were synthesized in the presence of acetic acid (AcOH) under reflux conditions at 120 °C. Also, the photochromic properties of synthesized compounds were investigated in AcOH as a solvent under laboratory conditions at a temperature of 120 °C. Moreover, the antibacterial activity of the synthesized compounds was investigated. The structure of the products was confirmed using FT‐IR, UV‐Vis, 1H‐NMR, and 13CNMR spectroscopy. The antimicrobial activity of these compounds against gram‐positive bacteria including Bacillus subtilis (B. subtilis) and gram‐negative bacteria including Escherichia coli (E.coli) bacteria was evaluated by the Well diffusion (WD) method, and the compounds 4 o showed significant results for both antibacterial activity. To gain insight into how these compounds interact with two types of targets, i. e., human topoisomerase II alpha (5GWK) and acetylcholinesterase (7AIX), binding calculations have been used that provide significant results for both targets and show that most ligands can effectively bind to cleft nucleotides. Interfere in the first one or be well placed in them. Hydrophobic pocket in the dimension, which can ultimately lead to high scores achieved.
Synergistic Inhibitions of Gram‐Negative Bacteria by Combination Treatment with Ciprofloxacin and a Novel Glucolipid
Authors: Yang Liyuan , Zhang Qingqing , Yu Deng , Zhu Weiming , Wang Yi 
Published: April 2024

AbstractPsychrophilic fungus Pseudogymnoascus sp. OUCMDZ‐4032 derived from Antarctica was cultivated under 16 °C to produce a new glucolipid compound (1). Its structure was elucidated by analysis of detailed spectroscopic data, acid hydrolysis and 1‐phenyl‐3‐methyl‐5‐pyrazolone precolumn derivatization, and 13C NMR quantum chemical calculations. Though compound 1 did not show inhibitory activity against bacteria, it can reduce the minimum inhibitory concentration (MIC) of ciprofloxacin against Gram‐negative bacteria Pseudomonas aeruginosa, Escherichia coli, and Salmonella paratyphi by 1024, 256 and 256‐fold. Compound 1 showed potential as a synergistically inhibiting adjuvant in co‐administration with antibiotic to enhance antibacterial activities.
Recent Advances in Carbon Nitride Supported Single‐Atom Catalysts: Synthesis, Characterization, and Applications for CO2 Photoreduction
Authors: Hu Shan , Lei Yiming , Zhang Xueli , Zhang Fangyuan , Qiao Panzhe , Ye Jinhua , Wang Defa 
Published: April 2024

AbstractPhotoreduction of CO2 into value‐added chemicals and fuels is a promising green technology for solar‐to‐chemical conversion. Owing to the atomic utilization, unique metal‐support interaction, and unsaturated coordination active sites, single‐atom catalysts (SACs) have been attracting great attention in achieving high activity and selectivity of CO2 photoreduction reactions. On the other hand, carbon nitride (C3N4) with abundant periodically unsaturated coordination of nitrogen atoms can serve as an excellent support for anchoring metal single atoms. In this context, extensive research efforts have been paid in C3N4‐based SACs for CO2 photoreduction in recent years. In this review, we report the recent advances in C3N4 supported SACs for CO2 photoreduction. We start from the introduction of synthetic strategies of various C3N4 supported metal SACs. Secondly, the main advanced characterization techniques and calculation methods for identifying the single‐atoms and their coordination environments of C3N4‐based SACs are summarized. Thirdly, some state‐of‐the‐art works on the rational design of C3N4‐based SACs and their applications in CO2 photoreduction are introduced. Lastly, we briefly summarize the main challenges and propose important perspectives of C3N4‐based SACs in CO2 photoreduction. This review is expected to provide some useful guidelines for the development of efficient and stable C3N4‐based SACs for CO2 photoreduction.
Redox‐Active Triazole‐Derived Mesoionic Imines with Ferrocenyl Substituents and their Metal Complexes: Directed Hydrogen‐Bonding, Unusual C−H Activation and Ion‐Pair Formation
Authors: Rudolf Richard , Batman Derman , Mehner Niklas , Walter Robert R. M. , Sarkar Biprajit 
Published: April 2024

AbstractWe present herein the synthesis, characterization and complexation of ferrocenyl‐substituted MIIs (mesoionic imines) and their metal complexes. In the free MIIs, strong hydrogen bonding interactions are observed between the imine‐N and the C−H bonds of the ferrocenyl substituents both in the solid state and in solution. The influence of this hydrogen bonding is so strong that complexation of the MIIs with [IrCp*Cl2]2 yields unique six‐membered iridacycles via C−H‐activation of the corresponding C−H‐site at the Fc‐substituent and not the Ph‐substituent. This result is in contrast to previous reports in which always a preferential C−H activation at the phenyl substituent is observed in competitive reactions in the presence of ferrocenyl substituents. The corresponding Ir complexes formed after in‐situ halide exchange reaction exist in either [Ir−I] contact or as [Ir]+I− solvent separated ion‐pairs depending on the solvent polarity. The iodide coordinated and solvent separated ion‐pairs display drastically different physical properties. The TEP (Tolman‐electronic‐parameter) of these ligands was determined and lines up with previously reported MII‐ligands. The redox properties were investigated by a combination of electrochemical and spectroelectrochemical methods. We show here how non‐covalent interactions can have a drastic influence on the physical and chemical properties of these new class of compounds.
An integrated tube robust iterative learning model predictive control strategy based on dynamic partial least squares algorithm for batch processes
Authors: Zhou Liuming , Zheng Chuangkai , Li Feng 
Published: April 2024

AbstractIn this paper, an integrated tube robust iterative learning model predictive control (Tube‐RILMPC) strategy based on the dynamic partial least squares (DyPLS) identified algorithm is proposed. The problems of large amount of online data calculation and input and output variable dimensions disaster in the original variable space are solved. This integrated Tube‐RILMPC strategy enhances the tracking performance and robustness of two‐dimensional (2D) control system. The output trajectories of system are located in the tube the nominal trajectory, which reduces the modelling error caused by the uncertain model. Based on the worst‐case performance index of ellipsoidal uncertainty and polytopic uncertainty, a robust iterative learning control (ILC) strategy is designed. Finally, the superiority of the proposed control algorithm is verified by comparative simulation.
An odd dancing couple. Non‐small cell lung carcinoma with coexisting EGFR mutation and NTRK‐1 translocation: A case report
Authors: Robledano Ramon , Lozano Maria D. 
Published: April 2024

AbstractIn the 21st century, there has been a dramatic shift in the diagnosis and management of non‐small cell lung carcinoma (NSCLC), with an increasing use of minimally invasive tissue acquisition methods. Current treatments require morphologic subtyping and biomarker information in all cases. Determining such biomarkers is a continuously evolving field; current guidelines state that the determination of mutations on the Epidermal Growth Factor (EFGR), Kirsten Rat Sarcoma viral oncogene homolog (KRAS), Proto‐oncogene B‐Raf (BRAF), Human epidermal growth factor receptor 2 (HER2) and Anaplastic Lymphoma Kinase (ALK), genes as well as fusions on genes such as ROS Proto‐Oncogene 1, Receptor Tyrosine Kinase (ROS1), MET proto‐oncogene, receptor tyrosine kinase (MET), RET proto‐oncogene (RET), and the Neurotrophic Tyrosine Receptor Kinase (NTRK) family is mandatory. While analyzing such alterations, some of them were first reported to be mutually exclusive, although in recent years, it has been shown otherwise in some of these cases. Moreover, so was the case with the concomitant expression of NTRK fusions and EGFR mutations. We present a case report of a patient with concomitant EGFR mutation and NTRK1 fusion.
Development of a method to evaluate the effects of external environments on drug stability in nails using micro‐segmental analysis
Authors: Kuwayama Kenji , Miyaguchi Hajime , Kanamori Tatsuyuki , Tsujikawa Kenji , Yamamuro Tadashi , Segawa Hiroki , Okada Yuki , Iwata Yuko T. 
Published: April 2024

AbstractNails can be used as an alternative to hair for examining past drug use. However, daily hand‐and‐nail care can eliminate the internal drugs. Therefore, we developed an evaluation method to examine the effects of the external environment on drug stability in nails using micro‐segmental analysis. First, reference nails containing drugs were prepared by collecting fingernails from participants who had consumed hay‐fever medicines continuously for 4 months. Next, the entire free edge of a reference nail was cut into halves at the centerline; one side was stored as an untreated block, and the other was treated with various hand/nail care products. Both nail blocks were washed and segmented at 0.5‐mm intervals in the width direction. Each segment in the extraction solution was crushed with stainless‐steel beads, sonicated, and soaked in the solution for 24 h. The analytes in extracts were quantified by LC–MS/MS, and the drug concentrations between the treated and untreated blocks were compared. The drug concentrations decreased slightly in nails treated with manicure and gel‐nail products. The analytes in nails tended to be lower in water‐rich products such as hand soap and hand cream than in oil‐rich products such as nailcare oil and acetone‐free remover. The developed method using micro‐segmental analysis enabled the evaluation of the effects of various hand/nail care products on drug stability in a limited number of nails. This would also be useful for examining the effects of severe environments on drugs in nails collected from cases of unnatural death.