bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lignans as multi‐targeted natural products in neurodegenerative diseases and depression: Recent perspectives
Authors: Li Zhibei , Zheng Yu , Liu Kai , Liang Youdan , Lu Jing , Li Qiuxia , Zhao Bolin , Liu Xing , Li Xiaofang 
Published: September 2023

AbstractAs the global population ages, the treatment of neurodegenerative diseases is becoming more and more important. There is an urgent need to discover novel drugs that are effective in treating neurological diseases. In recent years, natural products and their biological activities have gained widespread attention. Lignans are a class of metabolites extensively present in Chinese herbal medicine and possess good pharmacological effects. Latest studies have demonstrated their neuroprotective pharmacological activity in preventing acute/chronic neurodegenerative diseases and depression. In this review, the pharmacological effects of these disorders, the pharmacokinetics, safety, and clinical trials of lignans were summarized according to the scientific literature. These results proved that lignans mainly exert antioxidant and anti‐inflammatory activities. Anti‐apoptosis, regulation of nervous system functions, and modulation of synaptic signals are also potential effects. Despite the substantial evidence of the neuroprotective potential of lignans, it is not sufficient to support their use in the clinical management. Our study suggests that lignans can be used as prospective agents for the treatment of neurodegenerative diseases and depression, with a view to informing their further development and utilization.
Diagnostic imaging of intrathoracic extramedullary haematopoiesis
Authors: Takeda Kenichiro , Yato Yuki , Saito Mikihito , Saito Go , Nishiyama Akira , Kasai Hajime , Suzuki Takuji 
Published: September 2023

Key messageAlthough intrathoracic extramedullary haematopoiesis (EMH) is rare, its nodular lesions should be differentiated from malignancy. 111In‐bone marrow scintigraphy can be useful for the non‐invasive diagnosis of intrathoracic EMH because extramedullary accumulation of 111In can be determined as EMH.
Pulmonary artery aneurysm induced by lung abscess
Authors: Hayakawa Yuki , Yamasaki Kei , Funada Midori , Komatsu Masaya , Maeda Yukinori , Yatera Kazuhiro 
Published: September 2023

Key messagePhysicians should consider a pulmonary artery aneurysm complication in patients presenting with hemoptysis during treatment for a pulmonary abscess. Contrast‐enhanced CT or angiography is recommended for diagnosis, followed by pulmonary embolization for treatment.
Surgical accuracy of image‐free versus image‐based robotic‐assisted total knee arthroplasty
Authors: Yee Dennis King‐Hang , Ng Jonathan Patrick , Lau Cyrus Tsun‐Kit , Ho Kevin Ki‐Wai , Man Gene Chi‐Wai , Chu Vikki Wing‐Shan , Choi Tsz Lung , Lam Gloria Yan Ting , Ong Michael Tim‐Yun , Yung Patrick Shu‐Hang 
Published: September 2023

AbstractBackgroundThis study investigated the accuracy in achieving proper lower limb alignment and component positions after total knee replacement (TKR) with image‐free and image‐based robotic‐assisted TKR.MethodsA total of 129 patients (166 knees) suffering from end‐stage knee arthritis who underwent TKA operated by robotic‐assisted surgery between the years 2018 and mid‐2021 were recruited. Radiological outcomes were compared between image‐free and image‐based robotic‐assisted surgical systems.ResultsThere were significant differences between the two robotic systems when comparing the mean planned component alignment and the mean measured alignment on radiographs, in which the image‐free robotic‐assisted system was more varus, whereas the image‐based robotic‐assisted system was more valgus for both the mean femoral and tibial component coronal alignment (p < 0.001). For tibial component sagittal alignment, the image‐based group had a larger deviation from the planned posterior slope (p < 0.001).ConclusionImage‐free and image‐based robotic assisted TKR had differing accuracy in femoral and tibial alignment.
Time‐varying state constrained estimators‐based command filtered quantized consensus control for nonlinear multiagent systems
Authors: Hao Ruolan , Wang Hongbin , Zheng Wei 
Published: September 2023

AbstractThis article investigates the command filtered backstepping quantized consensus control for the time‐varying full‐state constrained nonlinear multiagent systems based on unknown system dynamics estimators (USDE). First, different from the intelligent control and the USDE‐based control methods, a novel time‐varying state constrained (TVSC)‐USDE is developed to estimate the unknown nonlinear dynamics and disturbances exactly with fewer parameters, where the states in TVSC‐USDE satisfy the state constraints requirements. The proposed TVSC‐USDE can reduce the computational burdens that caused by the online estimation of weights. Second, distinguish from current state constraints methods, by designing the integral barrier Lyapunov functions (IBLFs), the conservatism feasibility conditions are removed, which is more reasonable for the physical multiagent systems. Furthermore, the explosion of complexity (EOC) is a vital issue to tackle under the IBLFs backstepping control schemes. For this purpose, this article designs the command filters to gain the derivatives and handle the EOC problem. Further, to counterbalance the filtering errors, the error compensation signals are first developed in IBLFs‐based control method. Finally, the input quantized signals are introduced for the limited bandwidth problem in multiagent network systems, and the proposed control approach can attain consensus tracking under low communication rates and small tracking errors.
Optimal control of unknown nonlinear system under event‐triggered mechanism and identifier‐critic‐actor architecture
Authors: Liu Ning , Zhang Kun , Xie Xiangpeng 
Published: September 2023

AbstractThis paper proposes an event‐triggered adaptive control algorithm for general continuous‐time systems with unknown system models. Unlike existing articles, the developed method does not require prior determination of the knowledge of system dynamics, and effectively reduces the update frequency of key signals through the introduction of event‐trigger mechanism. Three neural networks (NNs) are designed in the identifier‐critic‐actor (ICA) architecture to learn the optimal control solution online. The unknown system is approximated by the identifier NN, the critic NN is designed to approach the optimal cost function, and the actor NN is designed to approach the optimal controller. Besides, under event‐triggered control, the parameters of critic NN and actor NN as well as control signals are updated only at the trigger time determined by the event‐trigger condition, which reduces effectively the computing burden and communication cost. The stability of event‐trigger control and the convergence of parameters of three NNs are verified via Lyapunov method. Finally, two examples are presented to demonstrate the viability of the proposed algorithm.
Using different acceptance measures: The interplay of evolution acceptance, evolution understanding, and religious belief among German preservice biology teachers, secondary school students, and creationists
Authors: Fiedler Daniela , Moormann Alexandra , Beniermann Anna 
Published: September 2023

AbstractEvolution understanding is often positively connected with magnitudes of evolution acceptance, whereas religiosity mostly interferes negatively. However, comparisons between studies and countries must be treated cautiously due to the diversity of used instruments and samples. This study aims to generate new evidence concerning the interplay of evolution acceptance, evolution understanding, and religious belief by comparing the results of preservice biology teachers, school students, and self‐identified creationists answering several acceptance instruments (i.e., ATEVO, GAENE, I‐SEA, and MATE) while using the same measurement for understanding and belief. Results of our regression analysis indicate that belief and understanding were significant predictors but often diminished after including the interaction term of belief and understanding. When gender is included in the model, this variable is often significant. The interaction term of belief and understanding was only significant for two instruments in the group of school students. For the creationists, gender appeared as the essential term. While relationship patterns of preservice biology teachers seldom seem to be impacted by the choice of acceptance instruments (at least in correlations and regressions using only belief and understanding), this is not true for our school students and creationists. Our findings indicate that the magnitude of understanding may not mutually be the exclusive factor for (non‐)acceptance. Other factors, such as gender or religiosity, might be more prominent in people's attitudes toward (controversial) topics. Our study creates new insights into the interplay of acceptance, understanding, and belief, and we encourage researchers to carefully consider their choice of instruments.
Exploring the impact of geopolitics on the environmental Kuznets curve research
Authors: Wang Qiang , Ren Feng , Li Rongrong 
Published: September 2023

AbstractEnvironmental Kuznets curve (EKC) is one of the key theories of economic and environmentally sustainable development. Has the change in geopolitics in recent years affected the international collaboration in the study of the EKC? Based on the publications on the EKC included in the Web of Science, a case study of recent changes in China–US collaboration on the EKC is conducted to explore the impact of geopolitical changes on international collaborative research on sustainable development. The results show that (1) The EKC is a global study, and countries around the world have made more efforts, among which China, the United States, Turkey, Malaysia, England and other countries have made the most contributions in the global literature database and are the countries with the most development potential in this field. (2) International collaboration between China and the United States in this field has gradually increased, and scientific research collaboration between the two countries has increased under the influence of geopolitical conflicts, and collaboration has shown the characteristics of lasting stability. (3) China and the United States exhibit divergent international collaboration patterns, with Pakistan being China's foremost partner in this domain, while China serves as the US’ primary collaborator. Furthermore, China demonstrates a significantly higher volume of independently published works compared with the United States, highlighting the strengthening of China's scientific research capabilities. The number of countries collaborating internationally with China shows a different upward trend than in the United States across the three data sets set in this paper. (4) In the field of EKC hot research, China and the United States have maintained good international partnerships with other countries, and are the preferred countries for scientific research collaboration in other countries in the world. It can be seen from this that international scientific research collaboration for sustainable development represented by the EKC has shown relative stability, and geopolitical changes have not had a significant impact on international collaborative research for sustainable development.
Stable Low‐Temperature Al Batteries Enabled by Integrating Polydopamine‐Derived N‐Doped Carbon Nanospheres With Flake Graphite
Authors: Guan Wei , Gu Bojun , Tu Jiguo , Wang Zhe , Zhang Ping , Meng Long , Jiao Shuqiang 
Published: September 2023

AbstractThe battery performance declines significantly in severely cold areas, especially discharge capacity and cycle life, which is the most significant pain point for new energy consumers. To address this issue and improve the low‐temperature characteristic of aluminum‐ion batteries, in this work, polydopamine‐derived N‐doped carbon nanospheres are utilized to modify the most promising graphite material. More active sites are introduced into graphite, more ion transport channels are provided, and improved ionic conductivity is achieved in a low‐temperature environment. Due to the synergistic effect of the three factors, the ion diffusion resistance is significantly reduced and the diffusion coefficient of aluminum complex ions in the active material become larger at low temperatures. Therefore, the battery delivers an improved capacity retention rate from 23% to 60% at −20 °C and excellent ultra‐long cycling stability over 5500 cycles at −10 °C. This provides a novel strategy for constructing low‐temperature aluminum‐ion batteries with high energy density, which is conducive to promoting the practicality of aluminum‐ion batteries.
Insight into the High Mobility and Stability of In2O3:H Film
Authors: Ge Ciyu , Liu Zunyu , Zhu Yongchen , Zhou Yilong , Jiang Borui , Zhu Jiaxing , Yang Xuke , Zhu Yongxin , Yan Shuyu , Hu Haojun , Song Haisheng , Li Luying , Chen Chao , Tang Jiang 
Published: September 2023

AbstractWide bandgap semiconductors, particularly In2O3:Sn (ITO), are widely used as transparent conductive electrodes in optoelectronic devices. Nevertheless, due to the strohave beenng scattering probability of high‐concentration oxygen vacancy (VO) defects, the mobility of ITO is always lower than 40 cm2 V−1 s−1. Recently, hydrogen‐doped In2O3 (In2O3:H) films have been proven to have high mobility (>100 cm2 V−1 s−1), but the origin of this high mobility is still unclear. Herein, a high‐resolution electron microscope and theoretical calculations are employed to investigate the atomic‐scale mechanisms behind the high carrier mobility in In2O3:H films. It is found that VO can cause strong lattice distortion and large carrier scattering probability, resulting in low carrier mobility. Furthermore, hydrogen doping can simultaneously reduce the concentration of VO, which accounts for high carrier mobility. The thermal stability and acid–base corrosion mechanism of the In2O3:H film are investigated and found that hydrogen overflows from the film at high temperatures (>250 °C), while acidic or alkaline environments can cause damage to the In2O3 grains themselves. Overall, this work provides insights into the essential reasons for high carrier mobility in In2O3:H and presents a new research approach to the doping and stability mechanisms of transparent conductive oxides.
New Insight into the Electronic Effect for Cu Porphyrin Catalysts in Electrocatalytic of CO2 into CH4
Authors: Jiang Hao , Zhao Peng , Shen Haidong , Yang Shaowei , Gao Runze , Guo Ying , Cao Yueling , Zhang Qiuyu , Zhang Hepeng 
Published: September 2023

AbstractPerturbation of the copper (Cu) active site by electron manipulation is a crucial factor in determining the activity and selectivity of electrochemical carbon dioxide (CO2) reduction reaction (e‐CO2RR) in Cu‐based molecular catalysts. However, much ambiguity is present concerning their electronic structure–function relationships. Here, three molecular Cu‐based porphyrin catalysts with different electron densities at the Cu active site, Cu tetrakis(4‐methoxyphenyl)porphyrin (Cu─T(OMe)PP), Cu tetraphenylporphyrin (Cu─THPP), and Cu tetrakis(4‐bromophenyl)porphyrin (Cu─TBrPP), are prepared. Although all three catalysts exhibit e‐CO2RR activity and the same reaction pathway, their performance is significantly affected by the electronic structure of the Cu site. Theoretical and experimental investigations verify that the conjugated effect of ─OCH3 and ─Br groups lowers the highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbitals (LUMO) gap of Cu─T(OMe)PP and Cu─TBrPP, promoting faster electron transfer between Cu and CO2, thereby improving their e‐CO2RR activity. Moreover, the high inductive effect of ─Br group reduces the electron density of Cu active site of Cu─TBrPP, facilitating the hydrolysis of the bound H2O and thus creating a preferable local microenvironment, further enhancing the catalytic performance. This work provides new insights into the relationships between the substituent group characteristics with e‐CO2RR performance and is highly instructive for the design of efficient Cu‐based e‐CO2RR electrocatalysts.
Accelerating Sulfur Redox Chemistry by Atomically Dispersed Zn‐N4 Sites Coupled with Pyridine‐N Defects on Porous Carbon Sheets
Authors: Wang Xiaoting , Yang Juan , Liu Siyu , He Songjie , Liu Zhibin , Che Xiaogang , Qiu Jieshan 
Published: September 2023

AbstractSingle‐atom catalysts (SACs) with specific N‐coordinated configurations immobilized on the carbon substrates have recently been verified to effectively alleviate the shuttle effect of lithium polysulfides (LiPSs) in lithium–sulfur (Li─S) batteries. Herein, a versatile molten salt (KCl/ZnCl2)‐mediated pyrolysis strategy is demonstrated to fabricate Zn SACs composed of well‐defined Zn‐N4 sites embedded into porous carbon sheets with rich pyridine‐N defects (Zn─N/CS). The electrochemical kinetic analysis and theoretical calculations reveal the critical roles of Zn‐N4 active sites and surrounding pyridine‐N defects in enhancing adsorption toward LiPS intermediates and catalyzing their liquid–solid conversion. It is confirmed by reducing the overpotential of the rate‐determining step of Li2S2 to Li2S and the energy barrier for Li2S decomposition, thus the Zn─N/CS guarantees fast redox kinetics between LiPSs and Li2S products. As a proof of concept demonstration, the assembled Li─S batteries with the Zn─N/CS‐based sulfur cathode deliver a high specific capacity of 1132 mAh g−1 at 0.1 C and remarkable capacity retention of 72.2% over 800 cycles at 2 C. Furthermore, a considerable areal capacity of 6.14 mAh cm−2 at 0.2 C can still be released with a high sulfur loading of 7.0 mg cm−2, highlighting the practical applications of the as‐obtained Zn─N/CS cathode in Li─S batteries.
Hierarchical Hollow Carbon Particles with Encapsulation of Carbon Nanotubes for High Performance Supercapacitors
Authors: Song Guoqiang , Li Claudia , Wang Tian , Lim Kang Hui , Hu Feiyang , Cheng Shuwen , Hondo Emmerson , Liu Shaomin , Kawi Sibudjing 
Published: September 2023

AbstractA novel and sustainable carbon‐based material, referred to as hollow porous carbon particles encapsulating multi‐wall carbon nanotubes (MWCNTs) (CNTs@HPC), is synthesized for use in supercapacitors. The synthesis process involves utilizing LTA zeolite as a rigid template and dopamine hydrochloride (DA) as the carbon source, along with catalytic decomposition of methane (CDM) to simultaneously produce MWCNTs and COx‐free H2. The findings reveal a distinctive hierarchical porous structure, comprising macropores, mesopores, and micropores, resulting in a total specific surface area (SSA) of 913 m2 g−1. The optimal CNTs@HPC demonstrates a specific capacitance of 306 F g−1 at a current density of 1 A g−1. Moreover, this material demonstrates an electric double‐layer capacitor (EDLC) that surpasses conventional capabilities by exhibiting additional pseudocapacitance characteristics. These properties are attributed to redox reactions facilitated by the increased charge density resulting from the attraction of ions to nickel oxides, which is made possible by the material's enhanced hydrophilicity. The heightened hydrophilicity can be attributed to the presence of residual silicon‐aluminum elements in CNTs@HPC, a direct outcome of the unique synthesis approach involving nickel phyllosilicate in CDM. As a result of this synthesis strategy, the material possesses excellent conductivity, enabling rapid transportation of electrolyte ions and delivering outstanding capacitive performance.
Recent Advances of Halloysite Nanotubes in Biomedical Applications
Authors: Jiang Zheng , Sun Shengjun , Liu Jun , Sun Xuping 
Published: September 2023

AbstractHalloysite nanotubes (HNTs) have emerged as a highly regarded choice in biomedical research due to their exceptional attributes, including superior loading capacity, customizable surface characteristics, and excellent biocompatibility. HNTs feature tubular structures comprising alumina and silica layers, endowing them with a large surface area and versatile surface chemistries that facilitate selective modifications. Moreover, their substantial pore volume and wide range of pore sizes enable efficient entrapment of diverse functional molecules. This comprehensive review highlights the broad biomedical application spectrum of HNTs, shedding light on their potential as innovative and effective therapeutic agents across various diseases. It emphasizes the necessity of optimizing drug delivery techniques, developing targeted delivery systems, rigorously evaluating biocompatibility and safety through preclinical and clinical investigations, exploring combination therapies, and advancing scientific understanding. With further advancements, HNTs hold the promise to revolutionize the pharmaceutical industry, opening new avenues for the development of transformative treatments.
Label‐Free Intracellular Multi‐Specificity in Yeast Cells by Phase‐Contrast Tomographic Flow Cytometry
Authors: Bianco Vittorio , D'Agostino Massimo , Pirone Daniele , Giugliano Giusy , Mosca Nicola , Di Summa Maria , Scerra Gianluca , Memmolo Pasquale , Miccio Lisa , Russo Tommaso , Stella Ettore , Ferraro Pietro 
Published: September 2023

AbstractIn‐flow phase‐contrast tomography provides a 3D refractive index of label‐free cells in cytometry systems. Its major limitation, as with any quantitative phase imaging approach, is the lack of specificity compared to fluorescence microscopy, thus restraining its huge potentialities in single‐cell analysis and diagnostics. Remarkable results in introducing specificity are obtained through artificial intelligence (AI), but only for adherent cells. However, accessing the 3D fluorescence ground truth and obtaining accurate voxel‐level co‐registration of image pairs for AI training is not viable for high‐throughput cytometry. The recent statistical inference approach is a significant step forward for label‐free specificity but remains limited to cells’ nuclei. Here, a generalized computational strategy based on a self‐consistent statistical inference to achieve intracellular multi‐specificity is shown. Various subcellular compartments (i.e., nuclei, cytoplasmic vacuoles, the peri‐vacuolar membrane area, cytoplasm, vacuole‐nucleus contact site) can be identified and characterized quantitatively at different phases of the cells life cycle by using yeast cells as a biological model. Moreover, for the first time, virtual reality is introduced for handling the information content of multi‐specificity in single cells. Full fruition is proofed for exploring and interacting with 3D quantitative biophysical parameters of the identified compartments on demand, thus opening the route to a metaverse for 3D microscopy.