bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential for artificial intelligence in medicine and its application to male infertility
Authors: Kobayashi Hideyuki 
Published: June 2024

AbstractBackgroundThe third AI boom, which began in 2010, has been characterized by the rapid evolution and diversification of AI and marked by the development of key technologies such as machine learning and deep learning. AI is revolutionizing the medical field, enhancing diagnostic accuracy, surgical outcomes, and drug production.MethodsThis review includes explanations of digital transformation (DX), the history of AI, the difference between machine learning and deep learning, recent AI topics, medical AI, and AI research in male infertility.Main Findings (Results)In research on male infertility, I established an AI‐based prediction model for Johnsen scores and an AI predictive model for sperm retrieval in non‐obstructive azoospermia, both by no‐code AI.ConclusionsAI is making constant progress. It would be ideal for physicians to acquire a knowledge of AI and even create AI models. No‐code AI tools have revolutionized model creation, allowing individuals to independently handle data preparation and model development. Previously a team effort, this shift empowers users to craft customized AI models solo, offering greater flexibility and control in the model creation process.
Novel insights into human T‐lymphotropic virus type‐1 (HTLV‐1) pathogenesis‐host interactions in the manifestation of HTLV‐1‐associated myelopathy/tropical spastic paraparesis
Authors: Ahmadi Ghezeldasht Sanaz , Mosavat Arman , Rezaee Seyed Abdolrahim 
Published: June 2024

AbstractHuman T‐lymphotropic virus type‐1 (HTLV‐1) was the first discovered human oncogenic retrovirus, the etiological agent of two serious diseases have been identified as adult T‐cell leukaemia/lymphoma malignancy and HTLV‐1‐associated myelopathy/tropical spastic paraparesis (HAM/TSP), a debilitating chronic neuro‐myelopathy. Despite more than 40 years of molecular, histopathological and immunological studies on HTLV‐1‐associated diseases, the virulence and pathogenicity of this virus are yet to be clarified. The reason why the majority of HTLV‐1‐infected individuals (∼95%) remain asymptomatic carriers is still unclear. The deterioration of the immune system towards oncogenicity and autoimmunity makes HTLV‐1 a natural probe for the study of malignancy and neuro‐inflammatory diseases. Additionally, its slow worldwide spreading has prompted public health authorities and researchers, as urged by the WHO, to focus on eradicating HTLV‐1. In contrast, neither an effective therapy nor a protective vaccine has been introduced. This comprehensive review focused on the most relevant studies of the neuro‐inflammatory propensity of HTLV‐1‐induced HAM/TSP. Such an emphasis on the virus‐host interactions in the HAM/TSP pathogenesis will be critically discussed epigenetically. The findings may shed light on future research venues in designing and developing proper HTLV‐1 therapeutics.
Follicular oocyte as a potential target for severe acute respiratory syndrome coronavirus 2 infection
Authors: Yadav Pramod K. , Pandey Ashutosh N. , Premkumar Karuppanan V. , Tiwari Meenakshi , Pandey Ajai K. , Chaube Shail K. 
Published: June 2024

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) was reported in December 2019 and rapidly became a pandemic as coronavirus disease 2019 (COVID‐19). Apart from other organs, presence of specific receptor angiotensin‐converting enzyme (ACE2) and corresponding proteases such as transmembrane serine protease 2, basigin and cysteine protease cathepsin L make follicular somatic cells as well as oocyte as potential targets for SARS‐CoV‐2 infection. The SARS‐CoV‐2 causes inflammation and hypoxia that generate reactive oxygen species (ROS) in critically ill patients. In addition, a large number of casualties and insecurity of life due to repeated waves of SARS‐CoV‐2 infection generate psychological stress and cortisol resulting in the further generation of ROS. The excess levels of ROS under physiological range cause meiotic instability, while high levels result in oxidative stress that trigger various death pathways and affect number as well as quality of follicular oocytes. Although, emerging evidence suggests that the SARS‐CoV‐2 utilises cellular machinery of ovarian follicular cells, generates ROS and impairs quality of follicular oocytes, the underlying mechanism of viral entry into host cell and its negative impact on the follicular oocyte remains poorly understood. Therefore, this review summarises emerging evidence on the presence of cellular machinery for SARS‐CoV‐2 in ovarian follicles and the potential negative impact of viral infection on the follicular oocytes that affect ovarian functions in critically ill and stressed women.
A Metasynthesis of Family Literacy Scholarship: Countering and Constructing Narratives about BIPOC Families and Communities
Authors: Ellison Tisha Lewis , Compton‐Lilly Catherine , Rogers Rebecca 
Published: June 2024

AbstractIn this metasynthesis, we examined 21 highly cited qualitative studies on family literacy scholarship conducted by Black, Indigenous, and People of Color (BIPOC) scholars from 1981 to 2019. This metasynthesis integrates findings to present a counterstory that challenges dominant narratives in family literacy. By amplifying often overlooked or erased narratives, we highlight diverse themes including family literacy as activism, its temporal aspects, barriers, challenges, hybridity, emotionality, bonding, spiritual literacies, and healing practices. These themes enhance racial, linguistic, and cultural awareness in scholars' engagement with families and communities. This metasynthesis broadens the conceptualization of family literacy, encouraging a reevaluation of our understanding of families, literacies, and research representation. Additionally, it underscores the critical importance of acknowledging and authentically representing BIPOC scholars and their participants’ stories.
Evolution of topsoil structure after compaction with a lightweight autonomous field robot
Authors: Calleja‐Huerta A. , Lamandé M. , Heck R. J. , Green O. , Munkholm L. J. 
Published: June 2024

AbstractSoil structure dynamics during a season depend on management practices and environmental factors. A lightweight autonomous robot (total mass: 3300–4100 kg, wheel load: 700–1200 kg, contact areas: 0.125 m2, inflation pressures: 60–280 kPa) was used for sowing (October 2021) and weeding (May 2022) operations on an annually plowed sandy loam field. We took 579 cm3 soil cores at 10‐ to 18‐cm depth in the crop area and wheel tracks before and after the operations to assess the impact from traffic and the potential recovery of topsoil structural properties. We measured air permeability and effective air‐filled porosity in the laboratory, and X‐ray CT scanned the samples to evaluate soil pore functionality. The first operation (conducted on a moist seedbed) had the largest impact, significantly compacting and reducing the air‐filled porosity by 42% (from 0.21 to 0.12 m3 m−3) and decreasing air permeability by 75.8% (from 130 to 31.5 µm2). After 7 months, the crop area and wheel track showed signs of soil consolidation due to environmental factors but not decompaction. The second operation occurred on drier (water content 0.06 g g−1), stronger soil conditions (degree of compactness 100.8%), and recompaction of the wheel track was not observed. Traffic in weak soils can result in seasonal topsoil compaction despite the lighter wheel loads. However, due to the milder impacts, recovery rates might be faster for lightweight machinery than for heavy tractors. Multi‐season studies are needed to assess the real potential of lightweight robots to minimize soil compaction risk.
Redox Promoted Rapid and Deep Reconstruction of Defect‐Rich Nickel Precatalysts for Efficient Water Oxidation
Authors: Jiang Renzheng , Zhang Jinfeng , Gao Jiajian , Xie Yingpeng , Wu Liyun , Wang Yi , Xu Zichen , Wu Zhong‐Shuai , Yuan Shisheng , Xu Guangwen 
Published: June 2024

AbstractUnderstanding the reconstruction mechanism to rationally design cost‐effective electrocatalysts for oxygen evolution reaction (OER) is still challenging. Herein, a defect‐rich NiMoO4 precatalyst is used to explore its OER activity and reconstruction mechanism. In situ generated oxygen vacancies, distorted lattices, and edge dislocations expedite the deep reconstruction of NiMoO4 to form polycrystalline Ni (oxy)hydroxides for alkaline oxygen evolution. It only needs ≈230 and ≈285 mV to reach 10 and 100 mA cm−2, respectively. The reconstruction boosted by the redox of Ni is confirmed experimentally by sectionalized cyclic voltammetry activations at different specified potential ranges combined with ex situ characterization techniques. Subsequently, the reconstruction route is presented based on the acid‐base electronic theory. Accordingly, the dominant contribution of the adsorbate evolution mechanism to reconstruction during oxygen evolution is revealed. This work develops a novel route to synthesize defect‐rich materials and provides new tactics to investigate the reconstruction.
Creating CoRu Dual Active Sites Codecorated Stable Porous Ceria Support for Enhanced Li–CO2 Batteries Cathodes
Authors: Deng Qinghua , Yin Kai , Yang Yong , Liu Huan , Yang Chenghan , Zhang Yiwei 
Published: June 2024

AbstractLithium–carbon dioxide (Li–CO2) battery represents a high‐energy density energy storage with excellent real‐time CO2 enrichment and conversion, but its practical utilization is hampered by the development of an excellent catalytic cathode. Here, the synergistic catalytic strategy of designing CoRu bimetallic active sites achieves the electrocatalytic conversion of CO2 and the efficient decomposition of the discharge products, which in turn realizes the smooth operation of the Li–CO2 battery. Moreover, obtained support based on metal–organic frameworks precursors facilitates the convenient diffusion and adsorption of CO2, resulting in higher reaction concentration and lower mass transfer resistance. Meanwhile, the optimization of the interfacial electronic structure and the effective transfer of electrons are achieved by virtue of the strong interaction of CoRu at the support interface. As a result, the Li–CO2 cell assembled based on bimetallic CoRu active sites achieved a discharge capacity of 19,111 mA h g−1 and a steady‐state discharge voltage of 2.58 V as well as a cycle life of >175 cycles at a rate of 100 mA g−1. Further experiments combined with density‐functional theory calculations achieve a deeply view of the connection between cathode and electrochemical performance and pave a way for the subsequent development of advanced Li–CO2 catalytic cathodes.
Achieving “Ion Diode” Salt Resistance in Solar Interfacial Evaporation by a Tesla Valve‐Like Water Transport Structure
Authors: Ji Yinzhi , Qiang Mengyuan , Zhao Qi , Mo Yalu , Fu Linjing , Lin Ziyan , Yang Heyu , Xing Yonglei , Ni Gang , Yang Yawei 
Published: June 2024

AbstractSalt deposition is a disturbing problem that limits the development of passive solar‐driven interfacial evaporation. Inspired by the passive fluid control mechanism of the Tesla valve, a novel solar evaporator is proposed with a Tesla valve‐like water transport structure to prevent salt accumulation at the evaporation interface. A unique “ion diode” salt resistance of this evaporator is significantly achieved by optimizing the two asymmetric water transport structures, consisting of one Tesla valve‐like side and one wide‐leg side, which establish a reverse‐suppressing and forward‐accelerating water transport channel. In contrast to the limited ion migration of the typical symmetric solar evaporator, such a channel caused by the water/salt ions transport difference between two water supply structures, reinforces the water/salt ions supply on the wide‐leg side, thus leading to an apparent unidirectional salt ions migration from the wide‐leg side to bulk water through the Tesla valve‐like side. Consequently, an evaporation rate of 3.25 kg m−2 h−1 and a conversion efficiency of 83.27% under 2 suns are achieved in 16 wt% NaCl solution. The development of the Tesla Valve‐like evaporator provides a new perspective for solving salt deposition and realizing scalable applications of solar‐driven interfacial evaporation.
Enabling Quasi‐Zero‐Strain Behavior of Layered Oxide Cathodes via Multiple‐cations Induced Order‐to‐Disorder Transition
Authors: Zhang Jianhua , Li Wenbin , Yang Jiayi , Wang Wei , Wang Jingjing , Dong Qi , Wang Xiyu , Wu Yumei , Xu Yuhui , Wang Yixuan , Yang Haofei , Wang Ni , Ren Yang , Li Xifei 
Published: June 2024

AbstractThe chemically pre‐intercalated lattice engineering is widely applied to elevate the electronic conductivity, expand the interlayer spacing, and improve the structural stability of layered oxide cathodes. However, the mainstream unitary metal ion pre‐intercalation generally produces the cation/vacancy ordered superstructure, which astricts the further improvement of lattice respiration and charge‐carrier ion storage and diffusion. Herein, a multiple metal ions pre‐intercalation lattice engineering is proposed to break the cation/vacancy ordered superstructure. Taking the bilayer V2O5 as an example, Ni, Co, and Zn ternary ions are simultaneously pre‐intercalated into its interlayer space (NiCoZnVO). It is revealed that the Ni─Co neighboring characteristic caused by Ni(3d)‐O(2p)‐Co(3d) orbital coupling and the Co‐Zn/Ni‐Zn repulsion effect due to chemical bond incompatibility, endow the NiCoZnVO sample with the cation/vacancy disordered structure. This not only reduces the Li+ diffusion barrier, but also increases the diffusion dimension of Li+ (from one‐dimension to two‐dimension). Particularly, Ni, Co, and Zn ions co‐pre‐intercalation causes a prestress, which realizes a quasi‐zero‐strain structure at high‐voltage window upon charging/discharging process. The functions of Ni ion stabilizing the lattice structure and Co or Zn ions activating more Li+ reversible storage reaction of V5+/V4+ are further revealed. The cation/vacancy disordered structure significantly enhances Li+ storage properties of NiCoZnVO cathode.
Stevioside protects against acute kidney injury by inhibiting gasdermin D pathway
Authors: Qiao Ruochen , Wang Hui , Li Dasheng , Yang Yu , Shu Jiaxin , Song Xiang , Zhao Xiaozhi , Lu Li 
Published: June 2024

AbstractRecent studies indicate a significant upregulation of gasdermin D (GSDMD) in acute kidney injury (AKI), a severe medical condition characterized by high morbidity and mortality globally. In this study, we identified and validated the therapeutic effects of small molecule inhibitors targeting the GSDMD pathway for AKI treatment. Using a drug screening assay, we evaluated thousands of small molecules from DrugBank against Lipopolysaccharide (LPS) and Nigericin‐stimulated immortalized bone marrow‐derived macrophages (iBMDMs) to discern GSDMD pathway activators. We simulated AKI in primary renal tubular epithelial cells using hydrogen peroxide (H2O2) exposure. Furthermore, AKI in mouse models was induced via cisplatin and ischemia/reperfusion. Our findings highlight stevioside as a potent GSDMD activator exhibiting minimal toxicity. Experimental results, both in vitro and in vivo, demonstrate stevioside's significant potential in alleviating renal tubular epithelial cell injury and AKI histological damage. After stevioside treatment, a notable decrease in cleaved GSDMD‐N terminal levels was observed coupled with diminished inflammatory factor release. This observation was consistent in both cisplatin‐ and ischemia/reperfusion‐induced AKI mouse models. Collectively, our research suggests that stevioside could be a promising candidate for modulating GSDMD signaling in AKI treatment.
Towards a security‐optimized approach for the microservice‐oriented decomposition
Authors: Liu Xiaodong , Chen Zhikun , Qian Yu , Zhong Chenxing , Huang Huang , Li Shanshan , Shao Dong 
Published: June 2024

AbstractMicroservice architecture (MSA) is a mainstream architectural style due to its high maintainability and scalability. In practice, an appropriate microservice‐oriented decomposition is the foundation to make a system enjoy the benefits of MSA. In terms of decomposing monolithic systems into microservices, researchers have been exploring many optimization objectives, of which modularity is a predominantly focused quality attribute. Security is also a critical quality attribute, that measures the extent to which a system protects data from malicious access or use by attackers. Considering security in microservices‐oriented decomposition can help avoid the risk of leaking critical data and other unexpected software security issues. However, few researchers consider the security objective during microservice‐oriented decomposition, because the measurement of security and the trade‐off with other objectives are challenging in reality. To bridge this research gap, we propose a security‐optimized approach for microservice‐oriented decomposition (So4MoD). In this approach, we adapt five metrics from previous studies for the measurement of the data security of candidate microservices. A multi‐objective optimization algorithm based on NSGA‐II is designed to search for microservices with optimized security and modularity. To validate the effectiveness of the proposed So4MoD, we perform several experiments on eight open‐source projects and compare the decomposition results to other three state‐of‐the‐art approaches, that is, FoSCI, CO‐GCN, and MSExtractor. The experiment results show that our approach can achieve at least an 11.5% improvement in terms of security metrics. Moreover, the decomposition results of So4MoD outperform other approaches in four modularity metrics, demonstrating that So4MoD can optimize data security while pursuing a well‐modularized MSA.
Unraveling the Atomistic Mechanisms Underlying Effective Reverse Osmosis Filtration by Graphene Oxide Membranes
Authors: Jiang Shan , Huang Lingli , Chen Honglin , Zhao Jiong , Ly Thuc Hue 
Published: June 2024

AbstractThe graphene oxide (GO) membrane displays promising potential in efficiently filtering ions from water. However, the precise mechanism behind its effectiveness remains elusive, particularly due to the lack of direct experimental evidence at the atomic scale. To shed light on this matter, state‐of‐the‐art techniques are employed such as integrated differential phase contrast‐scanning transmission electron microscopy and electron energy loss spectroscopy, combined with reverse osmosis (RO) filtration experiments using GO membranes. The atomic‐scale observations after the RO experiments directly reveal the binding of various ions including Na+, K+, Ca2+, and Fe3+ to the defects, edges, and functional groups of GO. The remarkable ion‐sieving capabilities of GO membranes are confirmed, which can be attributed to a synergistic interplay of size exclusion, electrostatic interactions, cation–π, and other non‐covalent interactions. Moreover, GO membranes modified by external pressure and cation also demonstrated further enhanced filtration performance for filtration. This study significantly contributes by uncovering the atomic‐scale mechanism responsible for ion sieving in GO membranes. These findings not only enhance the fundamental understanding but also hold substantial potential for the advancement of GO membranes in reverse osmosis (RO) filtration.
A Dual‐Functional Integration of Photodetectors and Artificial Optoelectronic Synapses on a VO2/WO3 Heterojunction Device
Authors: Guo Fuhai , Liu Yunjie , Zhang Mingcong , Yu Weizhuo , Li Siqi , Zhang Bo , Hu Bing , Zhong Lun , Jie Wenjing , Hao Lanzhong 
Published: June 2024

AbstractBionic visual systems require multimodal integration of eye‐like photodetectors and brain‐like image memory. However, the integration of photodetectors (PDs) and artificial optoelectronic synapses devices (OESDs) by one device remains a giant challenge due to their photoresponse discrepancy. Herein, a dual‐functional integration of PDs and OESDs based on VO2/WO3 heterojunctions is presented. The device can be able to realize a dual‐mode conversion between PDs and OESDs through tuning the bias voltage. Under zero bias voltage, the device exhibiting excellent photodetecting behaviors based on the photovoltaic effect, showing a high self‐powered photoresponsivity of 18.5 mA W−1 and high detectivity of 7.5 × 1010 Jones with fast photoresponse. When the external bias voltages are applied, it can be acted as an OESD and exhibit versatile electrical and photonic synaptic characteristics based on the trapping and detrapping effects, including synaptic plasticity and learning‐experience behaviors. More importantly, benefiting from the excellent photosensing ability and transporting properties, the device shows ultralow‐power consumption of 39.0 pJ and a 4 × 4 OESDs array is developed to realize the visual perception and memory. This work not only supplies a novel route to realize complex functional integration just in one device, but also offers effective strategies for developing neuromorphic visual system.
A bibliometric review of innovation ecosystem
Authors: Xu Yanan , Li Yuan 
Published: June 2024

AbstractTechnological advancements have not only made the innovation landscape more complex but also enhanced communication among firms, emphasizing the significance of collaboration. Consequently, there has been a substantial increase in academic interest in innovation ecosystems, leading to a sizable body of research examining their emergence, evolution and governance. Innovation ecosystems operate by effectively coordinating and organizing interconnected entities to facilitate dynamic interactions and promote innovation or value creation. However, since the concept of ecosystems has been in development for a relatively short period of time, research in this area is still somewhat fragmented, with numerous unaddressed gaps. This study provides a comprehensive review of articles from leading management research journals published between 2018 and 2023, using both quantitative and qualitative methods to assess the current state of innovation ecosystem research. Based on our analysis, we propose a research agenda to address the gaps identified in current research.
Investigational Study of Mesalamine Dissolution Discrepancy: Utilization of Hyphenated Ultrahigh Performance Liquid Chromatography‐Charged Aerosol Detection‐High‐Resolution Mass Spectrometry
Authors: Kumar Sumit , Vakkala Sudhakar , Ganesan Thipashini , Batna Ravibabu , See Hong Heng , Allada Ravikiran , Shah Ravi P. 
Published: June 2024

ABSTRACTPentasa (mesalamine/MSLM) is a widely prescribed delayed‐release capsule formulation for the treatment of inflammatory bowel disease. During dissolution study of Pentasa through ultraviolet (UV) spectroscopy, an unusual end‐release of about 110% has been observed. Initial liquid chromatography‐UV (LC‐UV) analyses of these dissolution samples confirmed three prominent peaks other than MSLM with a significant area percentage. Further systematic investigation was carried out by incubating active pharmaceutical ingredient in dissolution media for a longer duration and at elevated temperature followed by analysis through an inverse gradient LC‐charged aerosol detector (CAD). LC–high‐resolution mass spectrometry (HRMS) and online hydrogen‐deuterium exchange (HDX) mass spectrometry were also employed to identify and characterize these artifact products. The area % of prominent artifacts in LC‐UV was found to be way significant when compared to the area % obtained through inverse LC‐CAD, as CAD quantifies the peaks independent of the UV wavelength of absorbance. Inverse LC‐CAD was suitable to determine the relative response factor, whereas LC‐HRMS/MS and online HDX‐MS supported the characterization of these artifacts. These artifacts were found to be trimers, tetramers of MSLM formed due to polymerization, imparting additional pi‐bonds resulting in high UV absorptivity. These techniques when used in combinations serve complimentary to each other during such investigations.