bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioprinting of Cardiac Tissue in Space: Where Are We?
Authors: Tabury Kevin , Rehnberg Emil , Baselet Bjorn , Baatout Sarah , Moroni Lorenzo 
Published: June 2023

AbstractBioprinting in space is the next frontier in tissue engineering. In the absence of gravity, novel opportunities arise, as well as new challenges. The cardiovascular system needs particular attention in tissue engineering, not only to develop safe countermeasures for astronauts in future deep and long‐term space missions, but also to bring solutions to organ transplantation shortage. In this perspective, the challenges encountered when using bioprinting techniques in space and current gaps that need to be overcome are discussed. The recent developments that have been made in the bioprinting of heart tissues in space and an outlook on potential future bioprinting opportunities in space are described.
Highly Efficient Solar‐Driven Dry Reforming of Methane on a Rh/LaNiO3 Catalyst through a Light‐induced Metal‐To‐Metal Charge Transfer Process
Authors: Yao Yuan , Li Ben , Gao Xiaowen , Yang Yuying , Yu Jianbo , Lei Jianan , Li Qi , Meng Xiangchao , Chen Langxing , Xu Dongsheng 
Published: June 2023

AbstractAs an energy‐saving and green method, solar‐driven dry reforming of methane (DRM) is expected to introduce new activation processes and prevent sintering and coking of the catalysts. However, it still lacks an efficient way to coordinate the regulation of activation of reactants and lattice oxygen migration. In this study, Rh/LaNiO3 is designed as a highly efficient photothermal catalyst for solar‐driven DRM, which performs production rates of 452.3 mmol h−1 gRh−1 for H2 and 527.6 mmol h−1 gRh−1 for CO2 under a light intensity of 1.5 W cm−2, with an excellent stability. Moreover, a remarkable light‐to‐chemical energy efficiency (LTCEE) of 10.72% is achieved under a light intensity of 3.5 W cm−2. The characterizations of surface electronic and chemical properties and theoretical analysis demonstrate that strong adsorption for CH4 and CO2, light‐induced metal‐to‐metal charge transfer (MMCT) process and high oxygen mobility together bring Rh/LaNiO3 excellent performance for solar‐driven DRM.
Microfluidics‐Assisted Fabrication of All‐Flexible Substrate‐Free Micro‐Supercapacitors with Customizable Configuration and High Performance
Authors: Wang Xiao , Chen Wenwen , Shi Xiaoyu , Das Pratteek , Zheng Shuanghao , Qin Jianhua , Sun Chenglin , Wu Zhong‐Shuai 
Published: June 2023

AbstractThe rapid development of smart wearable microdevices has stimulated the urgent demand for micro‐supercapacitors (MSCs) with multiple form factors, however, several factors like conventional bulky stacked geometries, rigid substrates, and complex manufacturing processes have blocked their path toward practical application. Herein, a microfluidics‐assisted fabrication strategy is demonstrated which utilizes capillary action for precisely customising planar MSCs, showing substrate‐free configuration attributed to the use of polyvinyl alcohol hydrogel in both electrolytes and transfer template. Remarkably, the resulting MSCs with highly conductive polymer (PEDOT:PSS)‐based active materials as microelectrodes, exhibit excellent areal capacitance of 21.4 mF cm−2 and noticeable capacitance retention of 88% after 10000 cycles. Furthermore, the substrate‐free MSCs display extraordinary flexibility and remarkable stretchability of 640% strain. Significant serial and parallel integration is demonstrated for boosting voltage and capacitance output, demonstrative of impressive performance uniformity and applicability for different scenarios. Therefore, the exploration of microfluidics‐assisted fabrication is shown to be a reliable strategy for high performance standalone microelectronics with in‐plane configuration.
Medium‐Entropy Metal Selenides Nanoparticles with Optimized Electronic Structure as High‐Performance Bifunctional Electrocatalysts for Overall Water Splitting
Authors: Wu Hao , Wang Zhichao , Li Zexu , Ma Yujie , Ding Fan , Li Fengqi , Bian Haifeng , Zhai Qingxi , Ren Yilun , Shi Yuxuan , Yang Yurong , Deng Yu , Tang Shaochun , Meng Xiangkang 
Published: June 2023

AbstractDevelopment of low‐cost and high‐efficiency electrocatalysts for overall water splitting is of great significance in the sustainable hydrogen economy. Herein, Fe1.2(CoNi)1.8Sex medium‐entropy metal selenides (MESes) nanoparticles are prepared via the selenylation of metal‐organic frameworks (MOFs) precursors. The optimal Fe1.2(CoNi)1.8Se6 MESe exhibits an outstanding electrocatalytic performance in alkaline media, offering low overpotentials of 66 and 216 mV at 10 mA cm−2 for the hydrogen evolution reaction and oxygen evolution reaction, respectively. A full electrolysis apparatus with Fe1.2(CoNi)1.8Se6 MESe as both cathode and anode displays an excellent performance, achieving 10 mA cm−2 at a potential of 1.55 V. Furthermore, density functional theory calculations demonstrate that the formation of MESe enhances the surface charge density and brings the d‐band center closer to Fermi level, as compared with that of the MOF precursor. Overall, the proposed strategy of medium‐entropy materials presents a low‐cost approach to fabricate energy storage and conversion devices.
The Regulation of Lithium Plating Behavior by State of Stripping in Working Lithium Metal Anode
Authors: Xiao Ye , Xu Rui , Xu Lei , Zhan Ying‐Xin , Ding Jun‐Fan , Zhang Shuo , Li Ze‐Heng , Yan Chong , Huang Jia‐Qi 
Published: June 2023

AbstractThe enthusiasm of reviving lithium metal anodes has motivated the battery community to pursue higher Li utilization. To this end, an exhaustively complete stripping pattern (C‐stripping) is conventionally adopted to obtain a higher apparent Coulombic efficiency (CE) in individual cycles while ignoring the effects of Li stripping state on subsequent Li plating behavior. In this contribution, a partial stripping (P‐stripping) protocol, in which a tiny amount of active Li is intentionally reserved, is validated as beneficial for an improved realistic Li reversibility. Compared to the C‐stripping protocol, the partially reserved active Li in P‐stripping mode serves critically as nucleation sites for following Li plating, which not only reduces the nucleation overpotential for flattened Li deposition morphology, but also favorably facilitates the re‐utilization of the original solid electrolyte interphase (SEI). This explains the lower growth rates of both “dead Li” and SEI‐Li+ under the P‐stripping protocol. Benefitting from the intrinsically more reversible Li cycling, the anode‐free Cu||LiNi0.5Co0.2Mn0.3O2 cells using the P‐stripping protocol acquire higher available capacities in long‐term cycles. This work uncovers the crucial significance of the former state of Li stripping on regulating the following Li plating manner and SEI re‐utilization, providing fresh design implications toward more sustainable cycling of Li anodes.
Predicting rice phenology and optimal sowing dates in temperate regions using machine learning
Authors: Brinkhoff James , McGavin Sharon L. , Dunn Tina , Dunn Brian W. 
Published: June 2023

AbstractCrop phenology modeling often involves determining variety‐specific growing degree day thresholds, or parameterizing mechanistic crop models. In this work, we used machine learning methods to develop models that provide daily predictions of the probability that rice (Oryza sativa) crops had reached the panicle initiation and flowering growth stages. These per‐date classifications were summarized into per‐paddock growth stage transition dates, which were then compared with field‐sampled reference data, encompassing 15 rice varieties, 10 years, and 380 sites. Leave‐one‐year‐out cross validation was used to provide realistic estimates of model errors. Compared with more complex and computationally intensive algorithms, logistic regression produced competitive results (mean cross‐season validation RMSE 3.9 and 5.2 days for panicle initiation and flowering, respectively). Logistic regression had additional advantages: providing confidence of growth stage predictions at each date (as it is a probabilistic algorithm), and straightforward explainability (as model parameters directly indicated how the various input variables contributed to growth stage predictions). Input variables included accumulated weather, rice variety, and sowing methods. The models were applied to forecasting phenology transition dates of the rice crops planted throughout the Murray and Murrumbidgee valleys. In addition, recommendations for optimal sowing dates were developed, using simulations involving more than 40 years of weather data, with the goal of minimizing the risk of cold‐temperatures during the microspore growth phase, which can severely degrade yield in temperate rice growing regions.
Cellular journey of nanomaterials: Theories, trafficking, and kinetics
Authors: Wang Xiangrui , Wang Wen‐Xiong 
Published: June 2023

AbstractEngineered nanomaterials (NMs) are increasingly fabricated in various fields involving consumer goods, waste management, and biomedical applications such as drug delivery, diagnosis, and treatment of pathological conditions. While these NMs are intentionally or unexpectedly in contact with the human body, there are growing concerns about their intracellular journey, especially considering the therapeutic or deleterious effects after they cross the cell membrane. In this review, the cellular journey of NMs including internalization, intracellular trafficking, and deposition/exocytosis is systematically discussed. This work highlights the accumulation of NMs in cells not only depends on the moment of NMs crossing the cell membrane but also at the following trafficking and exocytosis process. A deeper understanding of the cellular journey of NMs implies that an alternative strategy to fabricate specific targeting NMs is to bypass a few pathways of intracellular trafficking to achieve potent therapeutic effects with minimal toxicity. After comprehensively reviewing the cellular journey of NMs, current progress and application scenarios of kinetic models are discussed. Finally, this review focuses on the bottleneck problems and the corresponding solution technologies for studying the cellular journey of NMs. Recent progresses on the cellular journey of NMs provide new insights into the fabrication of biomedical NMs and facilitate technology development for probing the nano‐cell interaction with high temporal‐spatial resolution.
Bowl‐Assisted Ball Assembly for Solvent‐Processing the C60 Electron Transport Layer of High‐Performance Inverted Perovskite Solar Cell
Authors: Xing Zhou , Liu Fu , Li Shu‐Hui , Huang Xianzhen , Fan Ajuan , Huang Qiufeng , Yang Shihe 
Published: June 2023

AbstractPristine fullerene C60 is an excellent electron transport material for state‐of‐the‐art inverted structure perovskite solar cells (PSCs), but its low solubility leaves thermal evaporation as the only method for depositing it into a high‐quality electron transport layer (ETL). To address this problem, we herein introduce a highly soluble bowl‐shaped additive, corannulene, to assist in C60‐assembly into a smooth and compact film through the favorable bowl‐ball interaction. Our results show that not only corannulene can dramatically enhance the film formability of C60, it also plays a critical role in forming C60‐corannulene (CC) supramolecular species and in boosting intermolecular electron transport dynamics in the ETL. This strategy has allowed CC devices to deliver high power conversion efficiencies up to 21.69 %, which is the highest value among the PSCs based on the solution‐processed‐C60 (SP‐C60) ETL. Moreover, the stability of the CC device is far superior to that of the C60‐only device because corannulene can retard and curb the spontaneous aggregation of C60. This work establishes the bowl‐assisted ball assembly strategy for developing low‐cost and efficient SP‐C60 ETLs with high promise for fully‐SP PSCs.
Analysis of isomeric mixtures by molecular rotational resonance spectroscopy
Authors: Neill Justin L. , Evangelisti Luca , Pate Brooks H. 
Published: June 2023

AbstractRecent developments in molecular rotational resonance (MRR) spectroscopy that have enabled its use as an analytical technique for the precise determination of molecular structure are reviewed. In particular, its use in the differentiation of isomeric compounds—including regioisomers, stereoisomers and isotopic variants—is discussed. When a mixture of isomers, such as resulting from a chemical reaction, is analyzed, it is highly desired to be able to unambiguously identify the structures of each of the components present, as well as quantify them, without requiring complex sample preparation or reference standards. MRR offers unique capabilities for addressing this analytical challenge, owing to two factors: its high sensitivity to a molecule's structure and its high spectral resolution, allowing mixtures to be resolved without separation of components. This review introduces core theoretical principles, an introduction to MRR instrumentation and the methods by which spectra can be interpreted with the aid of computational chemistry to correlate the observed patterns to molecular structures. Recent articles are discussed in which this technique was applied to help chemists complete challenging isomer analyses. Developments in the use of MRR for chiral analysis and in the measurement of isotopically labeled compounds are also highlighted.
Pelvic + Anatomy: A new interactive pelvic anatomy model. Prospective randomized control trial with first‐year midwife residents
Authors: Pereda‐Nuñez Ana , Manresa Margarita , Webb Sara S. , Pineda Benjamín , Espuña Montserrat , Ortega Marisa , Rodríguez‐Baeza Alfonso 
Published: June 2023

AbstractDetailed knowledge of female pelvic floor anatomy is essential for midwifery and other professionals in obstetrics. Physical models have shown great potential for teaching anatomy and enhancing surgical skills. In this article, we introduce an innovative physical anatomy model called “Pelvic+” to teach anatomical relationships in the female pelvis. The Pelvic+ model's value was compared to a traditional lecture in 61 first‐year midwifery students randomly allocated to either the Pelvic+ (n = 30) or a control group (n = 32). The primary outcome measure was a quiz comprised of 15 multiple choice questions on pelvic anatomy. Participants were assessed at baseline (Pre‐Test), upon completion of the intervention (Post‐Test1) and 4 months afterward (Post‐Test2). Satisfaction with the approach was assessed at Post‐Test1. Increase in knowledge was greater and the approach more accepted among resident midwives when Pelvic+ was used instead of standard lectures. Four months after the intervention, the improvement in knowledge was preserved in the Pelvic+ group. This randomized study demonstrates that the Pelvic+ simulator is more effective than classical learning for pelvic anatomy education, and offers a higher level of satisfaction among students during the educational process. Medical students training in obstetrics and gynecology, or any professional who specializes in the female pelvic floor might also benefit from incorporation of the Pelvic+ model into their training program.
Addressing structural hurdles for metadata extraction from environmental impact statements
Authors: Laparra Egoitz , Binford‐Walsh Alex , Emerson Kirk , Miller Marc L. , López‐Hoffman Laura , Currim Faiz , Bethard Steven 
Published: June 2023

AbstractNatural language processing techniques can be used to analyze the linguistic content of a document to extract missing pieces of metadata. However, accurate metadata extraction may not depend solely on the linguistics, but also on structural problems such as extremely large documents, unordered multi‐file documents, and inconsistency in manually labeled metadata. In this work, we start from two standard machine learning solutions to extract pieces of metadata from Environmental Impact Statements, environmental policy documents that are regularly produced under the US National Environmental Policy Act of 1969. We present a series of experiments where we evaluate how these standard approaches are affected by different issues derived from real‐world data. We find that metadata extraction can be strongly influenced by nonlinguistic factors such as document length and volume ordering and that the standard machine learning solutions often do not scale well to long documents. We demonstrate how such solutions can be better adapted to these scenarios, and conclude with suggestions for other NLP practitioners cataloging large document collections.
Set reachability and set stability of Boolean networks with state‐dependent asynchronous updating rule
Authors: Li Wenrong , Li Haitao 
Published: June 2023

AbstractAsynchronous behavior is significant for real biological systems. This paper explores the impact of state‐dependent asynchronous updating rule (SDAUR) on the set reachability and set stability of Boolean networks (BNs). First, a set of state‐dependent control variables is introduced to describe the SDAUR. Second, a new asynchronous set reachablity matrix is constructed based on an auxiliary input and semi‐tensor product. Third, using the asynchronous set reachablity matrix, several necessary and sufficient conditions are obtained for the set reachablity and set stability of BNs with SDAUR. Finally, the new results proposed in this paper are verified through the immunomic network.
Vascularization of engineered organoids
Authors: Liu Haitao , Zhang Xu , Liu Jiayue , Qin Jianhua 
Published: June 2023

AbstractOrganoids are biomimetic tissue analogs that are generated via the self‐organization of stem cells or adult cells relying on developmental biology principles. They present tissue‐specific structures and functional complexity, bridging the gap between planar cell culture and animal models to accelerate the applications of drug testing, tissue engineering and regenerative medicine. However, the current organoids are still limited in long‐term culture, maturation, complexities and functionalities due largely to the lack of vascularization in the analogs. Herein, we give an overview of the latest development of vascularization in the organoid field. We first provide two typical strategies of self‐assembly and engineering to perform and realize the vascularization in engineering organoids, as well as the crucial factors affecting vasculogenesis. Then, we describe the representative applications using vascularized organoids in biomedical fields. Finally, we discuss the challenges and future perspectives in the development of advanced biomaterials and modified approaches toward building vascularized organoids with higher fidelity and functionality.
Multiple group memberships protect against anticipatory anxiety for social situations
Authors: Donaldson Jessica L. , Cruwys Tegan , Dawel Amy , Chen Junwen 
Published: June 2023

AbstractFor people with social anxiety, ongoing exposure to feared situations is crucial for both treatment and the prevention of relapse. The COVID‐19 pandemic—with prolonged, often enforced, reductions in people's social contact—reduced such exposure and may thus have exacerbated social anxiety symptoms. In this three‐wave longitudinal study (N = 212) we explored whether people's membership in multiple groups could protect against anticipatory anxiety for, and avoidance of, social situations. In line with our predictions, pre‐pandemic multiple group memberships reduced anticipatory anxiety and avoidance at Waves 1 and 2 (June and August 2020). Controlling for participants' pre‐pandemic multiple group memberships, maintained group memberships (from pre‐pandemic to Wave 2) predicted lower Wave 2 anticipatory anxiety and avoidance, and lower Wave 2 anticipatory anxiety predicted reduced social anxiety symptoms at Wave 3. These findings are discussed with an emphasis on how social identity theorising and cognitive behavioural approaches to social anxiety can be successfully integrated.
(2E)‐1‐(2,4,6‐Trimethoxyphenyl)‐3‐(4‐chlorophenyl)prop‐2‐en‐1‐one, a Chalcone Derivative, Promotes Apoptosis by Suppressing RAS‐ERK and AKT/FOXO3a Pathways in Hepatocellular Carcinoma Cells
Authors: Zhang Meigui , Li Jing , Ma Ruixia , Xi Jiahui , Xi Lili , Zhang Baoxin , Tian Jing , Bai Zhongtian 
Published: June 2023

AbstractBackground: Liver cancer is an extremely common cancer with the highest mortality rate and poor prognosis. Owing to their low systemic toxicity and few side effects, natural compounds may provide better therapeutic effects for patients. (2E)‐1‐(2,4,6‐trimethoxyphenyl)‐3‐(4‐chlorophenyl)prop‐2‐en‐1‐one (TMOCC), a chalcone derivative, exhibits cytotoxicity towards many tumor cells. However, the anticancer mechanism of TMOCC has not been elucidated in human hepatocellular carcinoma (HCC). Methods: Cell Counting Kit‐8 and colony formation assays were used to evaluate the effects of TMOCC on viability and proliferation. Mitochondrial transmembrane potential and flow cytometry assays were used to detect apoptosis. The expression levels of proteins related to apoptosis, the RAS‐ERK and AKT/FOXO3a signaling pathways were assessed using western blot. Potential targets of TMOCC were detected using molecular docking analysis. Results: TMOCC inhibited viability and proliferation, and induced the loss of mitochondrial transmembrane potential, apoptosis and DNA double‐strand breaks in both HCC cells. The RAS‐ERK and AKT/FOXO3a signaling pathways were suppressed by TMOCC. Finally, ERK1, PARP‐1, and BAX were identified as potential targets of TMOCC. Conclusion: Taken together, our results show that TMOCC promotes apoptosis by suppressing the RAS‐ERK and AKT/FOXO3a signaling pathways. TMOCC may be a potential multi‐target compound that is effective against liver cancer.
Horsfielenigans A and B, Two Rearranged Lignans with Anti‐Inflammatory Effects from Horsfieldia kingii
Authors: Zhang Xian‐Huan , Lu Zhao , Li Zhi‐Yuan , Fu Nan , Zhan Rui 
Published: June 2023

AbstractSeven lignans were isolated from 70 % aqueous acetone extracts of the twigs and leaves of Horsfieldia kingii. Among these, new compounds 1–3 were identified by spectroscopic techniques, with horsfielenigans A and B (1 and 2) being particularly noteworthy for their rare β‐benzylnaphthalene skeleton, where compound 1 contains an oxabicyclo[3,2,1]octane moiety. In vitro evaluation of bioactivity against nitric oxide (NO) production in LPS‐activated RAW264.7 macrophages revealed inhibitory effects by 1 (IC50=7.3 μM) and 2 (IC50=9.7 μM).
Left atrial disc device thrombosis after atrial defect closure with the Gore® Cardioform septal occluder: A case series
Authors: Kramer Peter , Opgen‐Rhein Bernd , Berger Felix , Nordmeyer Johannes 
Published: June 2023

AbstractDevice thromboses after patent foramen ovale (PFO) and atrial septal defect (ASD) closure are rare but serious complications. They have been reported in different devices of virtually all manufacturers. Here, we report three cases of left atrial device thrombosis after atrial defect closure with the Gore® Cardioform septal occluder (GSO) in our recent institutional experience. All patients were symptomatic with new‐onset neurological impairments and evidence of cerebral thromboembolism. Device thromboses have occurred despite antiplatelet therapy in two patients and moreover were observed late, at approximately 2 years after implantation, in two patients. One device was surgically explanted while in two cases, thrombi completely resolved with initiated anticoagulation. All patients had a favorable neurological recovery. Our observations suggest that regular follow‐up echocardiography beyond 6 months after device implantation might be advisable in patients with GSO devices to rule out late device thromboses. More long‐term follow‐up data considering safety and late complications of contemporary PFO and ASD devices is required to establish confident evidence‐based recommendations on long‐term follow‐up management and antithrombotic therapy regimen after PFO and ASD closure.