bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrophilic 1T‐WS2 Nanosheet Arrays toward Conductive Textiles for High‐Efficient and Continuous Hydroelectric Generation and Storage
Authors: Han Bin‐Bin , Luo Peng , Xue Yang‐Biao , Cao Yuan‐Ming , Li Wei , Dong Xin‐Xin , Sun Jing , Zheng Mi , Zhao Yu‐Dong , Wu Bin , Zhuo Sheng , Zheng Min , Wang Zuo‐Shan , Zhuo Ming‐Peng 
Published: January 2024

AbstractFlexible hydroelectric generators (HEGs) are promising self‐powered devices that spontaneously derive electrical power from moisture. However, achieving the desired compatibility between a continuous operating voltage and superior current density remains a significant challenge. Herein, a textile‐based van der Waals heterostructure is rationally designed between conductive 1T phase tungsten disulfide@carbonized silk (1T‐WS2@CSilk) and carbon black@cotton (CB@Cotton) fabrics with an asymmetric distribution of oxygen‐containing functional groups, which enhances the proton concentration gradients toward high‐performance wearable HEGs. The vertically staggered 1T‐WS2 nanosheet arrays on the CSilk fabric provide abundant hydrophilic nanochannels for rapid carrier transport. Furthermore, the moisture‐induced primary battery formed between the active aluminum (Al) electrode and the conductive textiles introduces the desired electric field to facilitate charge separation and compensate for the decreased streaming potential. These devices exhibit a power density of 21.6 µW cm−2, an open‐circuit voltage (Voc) of 0.65 V sustained for over 10 000 s, and a current density of 0.17 mA cm−2. This performance makes them capable of supplying power to commercial electronics and human respiratory monitoring. This study presents a promising strategy for the refined design of wearable electronics.
Interlayer Engineering and Prelithiation: Empowering Si Anodes for Low‐Pressure‐Operating All‐Solid‐State Batteries
Authors: Jun Seunggoo , Lee Gwanghyun , Song Yong Bae , Lim Haechannara , Baeck Ki Heon , Lee Eun Suh , Kim Ju Yeon , Kim Dae Woo , Park Jong Hyeok , Jung Yoon Seok 
Published: January 2024

AbstractSilicon (Si) anodes, free from the dendritic growth concerns found in lithium (Li) metal anodes, offer a promising alternative for high‐energy all‐solid‐state batteries (ASSBs). However, most advancements in Si anodes have been achieved under impractical high operating pressures, which can mask detrimental electrochemo‐mechanical issues. Herein, we effectively address the challenges related to the low‐pressure operation of Si anodes in ASSBs by introducing an silver (Ag) interlayer between the solid electrolyte layer (Li6PS5Cl) and anode and prelithiating the anodes. The Si composite electrodes, consisting of Si/polyvinylidene fluoride/carbon nanotubes, are optimized for suitable mechanical properties and electrical connectivity. Although the impact of the Ag interlayer is insignificant at an exceedingly high operating pressure of 70 MPa, it substantially enhances the interfacial contacts under a practical low operating pressure of 15 MPa. Thus, Ag‐coated Si anodes outperform bare Si anodes (discharge capacity: 2430 vs 1560 mA h g−1). The robust interfacial contact is attributed to the deformable, adhesive properties and protective role of the in situ lithiated Ag interlayer, as evidenced by comprehensive ex situ analyses. Operando electrochemical pressiometry is used effectively to probe the strong interface for Ag‐coated Si anodes. Furthermore, prelithiation through the thermal evaporation deposition of Li metal significantly improves the cycling performance.
Eu3+‐Directed Supramolecular Metallogels with Reversible Quadruple‐Stimuli Response Behaviors
Authors: Chen Yan , Li Huimin , Zhang Yakun , Li Zhiqiang , Yang Daqing 
Published: January 2024

AbstractSmart luminescent materials that have the ability to reversibly adapt to external environmental stimuli and possess a wide range of responses are continually emerging, which place higher demands on the means of regulation and response sites. Here, europium ions (Eu3+)‐directed supramolecular metallogels are constructed by orthogonal self‐assembly of Eu3+ based coordination interactions and hydrogen bonding. A new organic ligand (L) is synthesized, consisting of crown ethers and two flexible amide bonds‐linked 1,10‐phenanthroline moieties to coordinate with Eu3+. Synergistic intermolecular hydrogen bonding in L and Eu3+‐L coordination bonding enable Eu3+ and L to self‐assemble into shape‐persistent 3D coordination metallogels in MeOH solution. The key to success is the utilization of crown ethers, playing dual roles of acting both as building blocks to build L with C2‐symmetrical structure, and as the ideal monomer for increasing the energy transfer from L to Eu3+’s excited state, thus maintaining the excellent luminescence of metallogels. Interestingly, such assemblies show K+, pH, F−, and mechano‐induced reversible gel‐sol transitions and tunable luminescence properties. Above findings are useful in the studies of molecular switches, dynamic assemblies, and smart luminescent materials.
Platinum–Ruthenium Dual‐Atomic Sites Dispersed in Nanoporous Ni0.85Se Enabling Ampere‐Level Current Density Hydrogen Production
Authors: Cai Lebin , Bai Haoyun , Kao Cheng‐wei , Jiang Kang , Pan Hui , Lu Ying‐Rui , Tan Yongwen 
Published: January 2024

AbstractAlkaline anion‐exchange‐membrane water electrolyzers (AEMWEs) using earth‐abundant catalysts is a promising approach for the generation of green H2. However, the AEMWEs with alkaline electrolytes suffer from poor performance at high current density compared to proton exchange membrane electrolyzers. Here, atomically dispersed Pt‐Ru dual sites co‐embedded in nanoporous nickel selenides (np/Pt1Ru1‐Ni0.85Se) are developed by a rapid melt‐quenching approach to achieve highly‐efficient alkaline hydrogen evolution reaction. The np/Pt1Ru1‐Ni0.85Se catalyst shows ampere‐level current density with a low overpotential (46 mV at 10 mA cm−2 and 225 mV at 1000 mA cm−2), low Tafel slope (32.4 mV dec−1), and excellent long‐term durability, significantly outperforming the benchmark Pt/C catalyst and other advanced large‐current catalysts. The remarkable HER performance of nanoporous Pt1Ru1‐Ni0.85Se is attributed to the strong intracrystal electronic metal‐support interaction (IEMSI) between Pt‐Se‐Ru sites and Ni0.85Se support which can greatly enlarge the charge redistribution density, reduce the energy barrier of water dissociation, and optimize the potential determining step. Furthermore, the assembled alkaline AEMWE with an ultralow Pt and Ru loading realizes an industrial‐level current density of 1 A cm−2 at 1.84 volts with high durability.
High‐accuracy dynamic gesture recognition: A universal and self‐adaptive deep‐learning‐assisted system leveraging high‐performance ionogels‐based strain sensors
Authors: Sun Yuqiong , Huang Jinrong , Cheng Yan , Zhang Jing , Shi Yi , Pan Lijia 
Published: January 2024

AbstractGesture recognition utilizing flexible strain sensors is a highly valuable technology widely applied in human–machine interfaces. However, achieving rapid detection of subtle motions and timely processing of dynamic signals remain a challenge for sensors. Here, highly resilient and durable ionogels are developed by introducing micro‐scale incompatible phases in macroscopic homogeneous polymeric network. The compatible network disperses in conductive ionic liquid to form highly resilient and stretchable skeleton, while incompatible phase forms hydrogen bonds to dissipate energy thus strengthening the ionogels. The ionogels‐derived strain sensors show highly sensitivity, fast response time (<10 ms), low detection limit (~50 μm), and remarkable durability (>5000 cycles), allowing for precise monitoring of human motions. More importantly, a self‐adaptive recognition program empowered by deep‐learning algorithms is designed to compensate for sensors, creating a comprehensive system capable of dynamic gesture recognition. This system can comprehensively analyze both the temporal and spatial features of sensor data, enabling deeper understanding of the dynamic process underlying gestures. The system accurately classifies 10 hand gestures across five participants with impressive accuracy of 93.66%. Moreover, it maintains robust recognition performance without the need for further training even when different sensors or subjects are involved. This technological breakthrough paves the way for intuitive and seamless interaction between humans and machines, presenting significant opportunities in diverse applications, such as human–robot interaction, virtual reality control, and assistive devices for the disabled individuals.
Associations of per‐ and polyfluoroalkyl substance concentrations in the blood of Amur tigers and physiological parameters
Authors: Wang Luyao , You Dan , Xu Haitao , Xie Wei , Chen Mengna , Chang Qinjie , Jiang Hongyu , Wang Yajun 
Published: January 2024

AbstractPer‐ and polyfluoroalkyl substances (PFASs) were widely used in industrial production and have posed a certain threat to human and animal health. However, few studies have been made on Amur tigers (Panthera tigris altaica). In this study, we explored the associations between the concentrations of PFASs in the blood of 112 captive Amur tigers and the part physiological parameters to assess the cumulative effect of these chemicals on the health of the Amur tigers. The result showed that perfluorodecanoic acid (PFDA), perfluorohexane sulfonic acid, and 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl‐PFESA) have associations with white blood cells (WBCs); perfluorooctanoic acid, perfluoroundecanoic acid, per‐fluorotridecanoate, and 6:2 Cl‐PFESA have a bearing on the changes in red blood cells (RBCs), RBC volume distribution width, hemoglobin, hematocrit, and platelets. In our study, according to the three models, there were significant positive correlations between PFDA and leukocyte parameters (WBCs, neutrophils [NEUs]) and a significant adverse effect between 6:2 Cl‐PFESA and NEU. Therefore, more research concerning PFASs of endangered wildlife species is needed.
Vermittlung praktischer Fähigkeiten in der curricularen Lehre – Effekt von SkillsLab und „flipped classroom“
Authors: Wehling Judith , Dombrowski Tobias , Johannsen Katharina , Volkenstein Stefan , Dazert Stefan , Weiss Nora M. 
Published: January 2024

Zusammenfassung
Hintergrund
Im Zuge der Neustrukturierung des Medizinstudiums werden erstmalig auch praktische Kompetenzen als Lernziele klar definiert. Zur effektiven Nutzung der kurzen Präsenzzeit, die im Fach HNO-Heilkunde zur Verfügung steht, war das Ziel dieser Studie die Verzahnung der Vermittlung praktischer Fertigkeiten unter Zuhilfenahme von „flipped classroom“, digitaler Lehre und einem neu errichteten SkillsLab zu evaluieren.

Material und Methoden
Im Rahmen des HNO-Praktikums wurden die Studierenden in 2 Gruppen unterteilt: Gruppe A = 93 Studierende (männlich n = 42, weiblich n = 51), Gruppe B = 113 Studierende (männlich n = 42, weiblich n = 71). Sie bearbeiteten zunächst digital zur Verfügung gestelltes Material, welches einzelne HNO-Untersuchungen erläuterte. Anschließend erfolgte der Präsenzunterricht in Kleingruppen, welcher eine Hospitation und Übungen der Untersuchungstechniken beinhaltete. Während Gruppe A diese dozentengeführt an Modellen absolvierte und sich gegenseitig untersuchte, erhielt Gruppe B den Unterricht anhand strukturierter Arbeitsstationen im hierfür neu errichteten HNO-SkillsLab. Die Effekte auf die Motivation und subjektiven Kompetenzen wurden anhand eines eigens für diese Studie entwickelten Fragebogens gemessen.

Ergebnisse
Nach Bearbeitung des digitalen Materials zeigte sich in beiden Gruppen ein hohes Level an Motivation und Kompetenz. Im Verlauf des Präsenztags zeigte sich ein Zugewinn an Motivation und Kompetenz, welcher nur in der SkillsLab-Gruppe statistisch signifikant war (p < 0,001). Obwohl die SkillsLab-Gruppe vor dem Präsenztag in ihrer subjektiven Kompetenz unterlegen war, zeigte sie sich nach dem Präsenztag der anderen Gruppe hierin sogar überlegen.

Schlussfolgerung
Die Kombination eines digitalen „flipped classroom“ mit strukturierten Arbeitsstationen im Rahmen eines SkillsLabs ermöglicht eine effektivere Vermittlung praktischer Kompetenzen, welche sich in der statistisch signifikanten Steigerung von Motivation und Selbsteinschätzung der Gruppe B widerspiegelt. Dabei erleichtert insbesondere die digitale Befunderhebung die Überprüfung der individuellen Lernerfolge und regt die Diskussion an.
Cardioprotective role of diacerein in diabetic cardiomyopathy via modulation of inflammasome/caspase1/interleukin1β pathway in juvenile rats
Authors: Refaie Marwa M. M. , Mohammed Hanaa Hassanein , Abdel-Hakeem Elshymaa A. , Bayoumi Asmaa M.A. , Mohamed Zamzam Hassan , Shehata Sayed 
Published: January 2024

AbstractDiabetes mellitus is a common metabolic disorder affecting different body organs; one of its serious complications is diabetic cardiomyopathy (DCM). Thus, finding more cardiopreserving agents to protect the heart against such illness is a critical task. For the first time, we planned to study the suspected role of diacerein (DIA) in ameliorating DCM in juvenile rats and explore different mechanisms mediating its effect including inflammasome/caspase1/interleukin1β pathway. Four-week-aged juvenile rats were randomly divided into groups; the control group, diacerein group, diabetic group, and diabetic-treated group. Streptozotocin (45 mg/kg) single intraperitoneal (i.p.) dose was administered for induction of type 1 diabetes on the 1st day which was confirmed by detecting blood glucose level. DIA was given in a dose of 50 mg/kg/day for 6 weeks to diabetic and non-diabetic rats, then we evaluated different inflammatory, apoptotic, and oxidative stress parameters. Induction of DCM succeeded as there were significant increases in cardiac enzymes, heart weights, fasting blood glucose level (FBG), and glycosylated hemoglobin (HbA1c) associated with elevated blood pressure (BP), histopathological changes, and increased caspase 3 immunoexpression. Furthermore, there was an increase of malondialdehyde (MDA), inflammasome, caspase1, angiotensin II, nuclear factor kappa-B (NF-κB), tumor necrosis factor-α (TNFα), and interleukin 1β (IL1β). However, antioxidant parameters such as reduced glutathione (GSH) and total antioxidant capacity (TAC) significantly declined. Fortunately, DIA reversed the diabetic cardiomyopathy changes mostly due to the observed anti-inflammatory, antioxidant, and anti-apoptotic properties with regulation of blood glucose level.DIA has an ability to regulate DCM-associated biochemical and histopathological disturbances.
Integrated omics analysis reveals the alteration of gut microbiota and fecal metabolites in Cervus elaphus kansuensis
Authors: Zhang Zhenxiang , Bao Changhong , Li Zhaonan , He Caixia , Jin Wenjie , Li Changzhong , Chen Yanxia 
Published: January 2024

Abstract
The gut microbiota is the largest and most complex microecosystem in animals. It is influenced by the host’s dietary habits and living environment, and its composition and diversity play irreplaceable roles in animal nutrient metabolism, immunity, and adaptation to the environment. Although the gut microbiota of red deer has been studied, the composition and function of the gut microbiota in Gansu red deer (Cervus elaphus kansuensis), an endemic subspecies of red deer in China, has not been reported. In this study, the composition and diversity of the gut microbiome and fecal metabolomics of C. elaphus kansuensis were identified and compared for the first time by using 16S rDNA sequencing, metagenomic sequencing, and LC-MS/MS. There were significant differences in gut microbiota structure and diversity between wild and farmed C. elaphus kansuensis. The 16S rDNA sequencing results showed that the genus UCRD-005 was dominant in both captive red deer (CRD) and wild red deer (WRD). Metagenomic sequencing showed similar results to those of 16S rDNA sequencing for gut microbiota in CRD and WRD at the phylum and genus levels. 16S rDNA and metagenomics sequencing data suggested that Bacteroides and Bacillus might serve as marker genera for CRD and WRD, respectively. Fecal metabolomics results showed that 520 metabolites with significant differences were detected between CRD and WRD and most differential metabolites were involved in lipid metabolism. The results suggested that large differences in gut microbiota composition and fecal metabolites between CRD and WRD, indicating that different dietary habits and living environments over time have led to the development of stable gut microbiome characteristics for CRD and WRD to meet their respective survival and reproduction needs.

Key points
• Environment and food affected the gut microbiota and fecal metabolites in red deer
• Genera Bacteroides and Bacillus may play important roles in CRD and WRD, respectively
• Flavonoids and ascorbic acid in fecal metabolites may influence health of red deer
Ecological significance of Candidatus ARS69 and Gemmatimonadota in the Arctic glacier foreland ecosystems
Authors: Venkatachalam Siddarthan , Jabir Thajudeen , Vipindas Puthiya Veettil , Krishnan Kottekkatu Padinchati 
Published: January 2024

Abstract
The Gemmatimonadota phylum has been widely detected in diverse natural environments, yet their specific ecological roles in many habitats remain poorly investigated. Similarly, the Candidatus ARS69 phylum has been identified only in a few habitats, and literature on their metabolic functions is relatively scarce. In the present study, we investigated the ecological significance of phyla Ca. ARS69 and Gemmatimonadota in the Arctic glacier foreland (GF) ecosystems through genome-resolved metagenomics. We have reconstructed the first high-quality metagenome-assembled genome (MAG) belonging to Ca. ARS69 and 12 other MAGs belonging to phylum Gemmatimonadota from the three different Arctic GF samples. We further elucidated these two groups phylogenetic lineage and their metabolic function through phylogenomic and pangenomic analysis. The analysis showed that all the reconstructed MAGs potentially belonged to novel species. The MAGs belonged to Ca. ARS69 consist about 8296 gene clusters, of which only about 8% of single-copy core genes (n = 980) were shared among them. The study also revealed the potential ecological role of Ca. ARS69 is associated with carbon fixation, denitrification, sulfite oxidation, and reduction biochemical processes in the GF ecosystems. Similarly, the study demonstrates the widespread distribution of different classes of Gemmatimonadota across wide ranges of ecosystems and their metabolic functions, including in the polar region.

Key points
• Glacier foreland ecosystems act as a natural laboratory to study microbial community structure.
• We have reconstructed 13 metagenome-assembled genomes from the soil samples.
• All the reconstructed MAGs belonged to novel species with different metabolic processes.
• Ca. ARS69 and Gemmatimonadota MAGs were found to participate in carbon fixation and denitrification processes.
Biogeographic patterns of meio- and micro-eukaryotic communities in dam-induced river-reservoir systems
Authors: Hu Huan , Wei Xing-Yi , Liu Li , Wang Yuan-Bo , Bu Ling-Kang , Jia Huang-Jie , Pei De-Sheng 
Published: January 2024

Abstract
Although the Three Gorges Dam (TGD) is the world’s largest hydroelectric dam, little is known about the spatial–temporal patterns and community assembly mechanisms of meio- and micro-eukaryotes and its two subtaxa (zooplankton and zoobenthos). This knowledge gap is particularly evident across various habitats and during different water-level periods, primarily arising from the annual regular dam regulation. To address this inquiry, we employed mitochondrial cytochrome c oxidase I (COI) gene-based environmental DNA (eDNA) metabarcoding technology to systematically analyze the biogeographic pattern of the three communities within the Three Gorges Reservoir (TGR). Our findings reveal distinct spatiotemporal characteristics and complementary patterns in the distribution of meio- and micro-eukaryotes. The three communities showed similar biogeographic patterns and assembly processes. Notably, the diversity of these three taxa gradually decreased along the river. Their communities were less shaped by stochastic processes, which gradually decreased along the longitudinal riverine-transition-lacustrine gradient. Hence, deterministic factors, such as seasonality, environmental, and spatial variables, along with species interactions, likely play a pivotal role in shaping these communities. Environmental factors primarily drive seasonal variations in these communities, while hydrological conditions, represented as spatial distance, predominantly influence spatial variations. These three communities followed the distance-decay pattern. In winter, compared to summer, both the decay and species interrelationships are more pronounced. Taken together, this study offers fresh insights into the composition and diversity patterns of meio- and micro-eukaryotes at the spatial-temporal level. It also uncovers the mechanisms behind community assembly in various environmental niches within the dam-induced river-reservoir systems.

Key points
• Distribution and diversity of meio- and micro-eukaryotes exhibit distinct spatiotemporal patterns in the TGR.
• Contribution of stochastic processes in community assembly gradually decreases along the river.
• Deterministic factors and species interactions shape meio- and micro-eukaryotic community.

Graphical Abstract
Characterization of bone marrow lesions in axial spondyloarthritis using quantitative T1 mapping MRI
Authors: Diekhoff Torsten , Deppe Dominik , Poddubnyy Denis , Ziegeler Katharina , Proft Fabian , Radny Felix , Niedermeier Christoph , Hermann Kay Geert , Makowski Marcus R. 
Published: January 2024

Abstract
Objective
Conventional magnetic resonance imaging (MRI) uses T1-weighted and short-tau inversion recovery (STIR) sequences to characterize bone marrow in axial spondyloarthritis. However, quantification is restricted to estimating the extent of lesions because signal intensities are highly variable both within individuals and across patients and MRI scanners. This study evaluates the performance of quantitative T1 mapping for distinguishing different types of bone marrow lesions of the sacroiliac joints.

Materials and methods
In this prospective study, 62 patients underwent computed tomography (CT) and MRI of the sacroiliac joints including T1, STIR, and T1 mapping. Bone marrow lesions were characterized by three readers and assigned to one of four groups: sclerosis, osteitis, fat lesions, and mixed marrow lesions. Relaxation times on T1 maps were compared using generalized estimating equations and receiver operating characteristics (ROC) analysis.

Results
A total of 119 lesions were selected (sclerosis: 38, osteitis: 27, fat lesions: 40; mixed lesions: 14). T1 maps showed highly significant differences between the lesions with the lowest values for sclerosis (1516±220 ms), followed by osteitis (1909±75 ms), and fat lesions (2391±200 ms); p<0.001. T1 mapping differentiated lesions with areas under the ROC curve of 99% (sclerosis vs. osteitis) and 100% (other comparisons).

Conclusion
T1 mapping allows accurate characterization of sclerosis, osteitis, and fat lesions at the sacroiliac joint but only for homogeneous, non-mixed lesions. Thus, further sequence development is needed before implementation in clinical routine.