bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrically Active Terahertz Liquid‐Crystal Metasurface for Polarization Vortex Beam Switching
Authors: Wang Sheng , Guo Hangbing , Chen Benwen , Hu Xinyu , Zhu Wei , Wu Jingbo , Zhang Caihong , Fan Kebin , Wang Huabing , Jin Biaobing , Chen Jian , Wu Peiheng 
Published: March 2024

AbstractPolarized vortex waves have attracted widespread attention in investigations of light–matter interactions and the augmentation of information capacity owing to their distinctive characteristics. Nevertheless, the reconfigurable generation of vector beams, especially at terahertz (THz) frequencies, remains challenging. In this study, a tunable THz polarization vortex beam generator based on a liquid‐crystal metasurface is proposed. A unit cell featuring reconfigurable linear polarization selectivity is developed. A general methodology for designing metasurfaces to generate customized and reconfigurable polarization patterns is introduced. Furthermore, the electrically tunable generation of polarized patterns and cylinder vector beams is experimentally demonstrated. The findings of this study can open up opportunities for wireless communication and super‐resolution imaging applications.
High temperature corrosion performance of Inconel 625 hard overlays deposited on stainless steel substrate
Authors: Nachimuthu Pravin Kumar , Gosipathala Sreedhar , Arasappan Rajesh Kannan , Nallathambi Siva Shanmugam 
Published: March 2024

AbstractIn elevated conditions, austenitic stainless steels suffer intense damage by corrosion because of the severe oxide scale development. Giving stainless steel a corrosion‐resistant surface coating can prevent excessive damage. In this case, welding‐based overlaying is a potential method to restore the damaged parts as it has a higher productivity rate. This investigation articulates the corrosion resistance behavior of the multiple overlapped Inconel 625 (IN625) weld overlays on the AISI 316L substrate plate. The corrosion resistance at elevated temperatures was investigated with kinetic curves, further revealing the corrosion products from the sample surface. Characterization techniques like scanning electron microscopy with energy‐dispersive spectroscopy, X‐ray diffraction, and Raman spectroscopy were employed to analyze the corrosion products. Hot corrosion kinetics in the molten salt environment (Na2SO4 + V2O5) revealed that the IN625 overlay samples gained a weight of 40.15 mg/cm2, and the substrate had a weight gain of 65.42 mg/cm2. From the hot oxidation kinetics, it is evident that the mass gained by the substrate is more than twice that of the Inconel overlay sample. Furthermore, the formation of oxides and spinel phases rich in nickel (NiO, NiCr2O4) highly influenced the corrosion kinetics of the multiple overlapped IN625 overlay sample. The AISI 316L substrate sample revealed the existence of critical oxide phases such as Fe2O3 and Cr2O3, which were lesser and did not influence the corrosion resistance at 900°C. In the present investigation, the multiple overlapped IN625 weld overlay offered excellent corrosion resistance at high temperature compared to the AISI 316L.
Fabrication of Silk Fibroin‐Derived Fibrous Scaffold for Biomedical Frontiers
Authors: Rahman Mustafijur , Dip Tanvir Mahady , Nur Md Golam , Padhye Rajiv , Houshyar Shadi 
Published: March 2024

AbstractSilk fibroin (SF), a natural protein derived from silkworms, has emerged as a promising biomaterial due to its biocompatibility, biodegradability, degradation rate, and tunable mechanical properties. This review delves into the intrinsic attributes of SF that make it an attractive candidate for scaffold development in tissue engineering and regenerative medicine. The distinctiveness of this comprehensive review resides in its detailed exploration of recent advancements in the fabrication techniques of SF‐based fibrous scaffolds, namely electrospinning, freeze‐drying, and 3D printing. An in‐depth analysis of these fabrication techniques is conducted to illustrate their versatility in customizing essential scaffold characteristics, such as porosity, fiber diameter, and mechanical strength. The article meticulously discusses process parameters, advantages, and challenges of each fabrication technique, highlighting the innovative advancements made in the respective field. Furthermore, the review goes beyond fabrication techniques to provide an overview of the latest biomedical applications and research endeavors utilizing SF‐derived scaffolds. From nerve regeneration and wound healing to drug delivery, bone regeneration, and vascular tissue engineering, the diverse applications underscore the versatility of SF in adopting various biomedical challenges. Finally, the article emphasizes the need for standardized characterization techniques, scalable manufacturing processes, and long‐term in vivo studies.
Investigating Dynamic Changes in 3D‐Printed Covalent Adaptable Polymer Networks
Authors: Jia Yixuan , Spiegel Christoph A. , Diehm Juliane , Zimmermann Daniel , Huber Birgit , Mutlu Hatice , Franzreb Matthias , Wilhelm Manfred , Théato Patrick , Blasco Eva , Tsotsalas Manuel 
Published: March 2024

Abstract3D printing technologies have matured to produce complex structures, still they are often limited to static materials. Introducing alkoxyamine bonds into 3D printed structures offers unprecedented possibilities for post‐synthetic modification through nitroxide exchange reaction and nitroxide‐mediated polymerization. This study provides a comprehensive molecular and macroscopic characterization of 3D‐printed alkoxyamine‐containing dynamic covalent adaptable networks. The study provides new insights into their dynamic structural and mechanical alterations, making them promising candidates for advanced applications ranging from biomedical engineering to flexible electronics.
Complete real Kähler submanifolds
Authors: de Carvalho A. 
Published: March 2024

AbstractLet denote an isometric immersion of a Kähler manifold with complex dimension into Euclidean space with codimension . We show that generic rank conditions on the second fundamental form of a non‐minimal complete real Kähler submanifold imply that is a cylinder over a real Kähler submanifold .
The Motor Dysfunction Seen in Isolated REM Sleep Behavior Disorder
Authors: Simonet Cristina , Pérez‐Carbonell Laura , Galmés‐Ordinas Miquel A. , Huxford Brook F.R. , Chohan Harneek , Gill Aneet , Leschziner Guy , Lees Andrew J. , Schrag Anette , Noyce Alastair J. 
Published: March 2024

AbstractBackgroundIsolated Rapid Eye Movement (REM) sleep Behavior Disorder (iRBD) requires quantitative tools to detect incipient Parkinson's disease (PD).MethodsA motor battery was designed and compared with the Movement Disorder Society‐Unified Parkinson's Disease Rating Scale part III (MDS‐UPDRS‐III) in people with iRBD and controls. This included two keyboard‐based tests (BRadykinesia Akinesia INcoordination tap test and Distal Finger Tapping) and two dual tasking tests (walking and finger tapping).ResultsWe included 33 iRBD patients and 29 controls. The iRBD group performed both keyboard‐based tapping tests more slowly (P < 0.001, P = 0.020) and less rhythmically (P < 0.001, P = 0.006) than controls. Unlike controls, the iRBD group increased their walking duration (P < 0.001) and had a smaller amplitude (P = 0.001) and slower (P = 0.007) finger tapping with dual task. The combination of the most salient motor markers showed 90.3% sensitivity for 89.3% specificity (area under the ROC curve [AUC], 0.94), which was higher than the MDS‐UPDRS‐III (minus action tremor) (69.7% sensitivity, 72.4% specificity; AUC, 0.81) for detecting motor dysfunction.ConclusionSpeed, rhythm, and dual task motor deterioration might be accurate indicators of incipient PD in iRBD. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Urolithin A Ameliorates Athletic Ability and Intestinal Microbiota in Sleep Deprivation from the Perspective of the Gut‐Muscle Axis
Authors: Zhu Hongkang , Zhao Haotian , Qian He , Liu Chang 
Published: March 2024

ScopeUrolithin A (UA), a gut‐microbiota‐derived metabolite of ellagic acid, presents various benefits to intestinal microecology. The presence of “gut‐muscle axis” regulating the onset and progression of exercise‐related physical frailty and sarcopenia has been recently hypothesized. This study aims to explore the underlying mechanism of gut‐muscle axis by which UA enhances muscle strength and fatigue resistance of sleep‐deprived (SD) mice.Methods and resultsUA is gavaged to C57BL/6 mice (50 mg kg−1 bw) before 48‐h SD. The results indicate that pretreatment of UA significantly enhances motor ability and energy metabolism. The inflammation is suppressed, and intestinal permeability is improved after prophylactic treatment with UA. The decreased level of serum lipopolysaccharide (LPS) is concomitant with augmentation of the intestinal tight junction proteins. 16s rRNA analysis of colonic contents reveals that UA significantly reduces the abundance of Clostridia_UCG‐014 and Candidatus_Saccharimonas, and upregulates Lactobacillus and Muribaculaceae. UA probably influences on gut microbial functions via several energy metabolism pathways, such as carbon metabolism, phosphotransferase system (PTS), and ATP binding cassette (ABC) transporters.ConclusionsThe dietary intervention of UA helps to create a systemic protection, a bidirectional communication connecting the gut microbiota with muscle system, able to alleviate SD‐induced mobility impairment and gut dysbiosis.
Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction
Authors: Cheng Jing , Cui Zhuo‐Xu , Zhu Qingyong , Wang Haifeng , Zhu Yanjie , Liang Dong 
Published: March 2024

AbstractPurposeTo develop a novel deep learning‐based method inheriting the advantages of data distribution prior and end‐to‐end training for accelerating MRI.MethodsLangevin dynamics is used to formulate image reconstruction with data distribution before facilitate image reconstruction. The data distribution prior is learned implicitly through the end‐to‐end adversarial training to mitigate the hyper‐parameter selection and shorten the testing time compared to traditional probabilistic reconstruction. By seamlessly integrating the deep equilibrium model, the iteration of Langevin dynamics culminates in convergence to a fix‐point, ensuring the stability of the learned distribution.ResultsThe feasibility of the proposed method is evaluated on the brain and knee datasets. Retrospective results with uniform and random masks show that the proposed method demonstrates superior performance both quantitatively and qualitatively than the state‐of‐the‐art.ConclusionThe proposed method incorporating Langevin dynamics with end‐to‐end adversarial training facilitates efficient and robust reconstruction for MRI. Empirical evaluations conducted on brain and knee datasets compellingly demonstrate the superior performance of the proposed method in terms of artifact removing and detail preserving.
Revisiting the face stability of rock tunnels in the Hoek–Brown strength criterion with tension cutoff
Authors: Zhong Junhao , Chian Siau Chen , Chen Hui , Hou Chuantan , Yang Xiaoli 
Published: March 2024

AbstractIn this work, the three‐dimensional stability of deep tunnel faces is evaluated in rock masses characterized by the generalized Hoek–Brown (H–B) criterion from the perspective of the limit analysis theorem. Considering that underground engineering is gradually developing towards larger burial depths and larger sizes, and the tensile strength of rocks is usually overestimated, the concept of tension cutoff (T‐C) is introduced to substitute the parabolic form of the H–B envelope in the tensile region with a circular arc. The multitangent technique is used to piecewise approximate the H–B envelope, instead of the conventional linear substitution, accounting for the nonlinear dependence of the shear strength on the pressure. Meanwhile, the earthquake loading is considered by the classic pseudostatic method. The tunnel face stability is measured by a stability number, which is calculated based on a newly developed multicone failure mechanism. Parameter studies indicate that the T‐C has almost no impact on the critical support pressure, while has a significant effect on the critical stability number, especially in the presence of earthquakes. Nearly all stress points back‐calculated from the rupture angles fall within the T‐C region, except for the first stress point associated with the first segment. Interestingly, the influence of the geological strength index (GSI) on the face stability is inverse to that of mi due to the brittleness of rocks. Moreover, the critical stability number is not sensitive to mi, but sensitive with the introduction of earthquake loadings.
Biodegradable polymer films: processability, technological properties and their viability for flexible packaging applications
Authors: Morreale Marco , Baiamonte Marilena , Correnti Antonio , Messina Sergio , La Mantia Francesco Paolo 
Published: March 2024

AbstractNowadays, there is a rising interest in the packaging industry regarding more environment‐friendly (i.e. biodegradable and/or compostable) polymer‐based solutions, especially for film blowing applications. However, replacing traditional, fossil resource‐based polymers typically used for such applications is not an easy task, since the more environment‐friendly solutions must have adequate features in terms of processability and final properties. In this work, three commercial biodegradable (and, at least partially, biobased) polymers were investigated by a preliminary rheological and mechanical analysis, in order to perform film manufacturing experiments in laboratory equipment. Furthermore, oxygen and water vapour barrier properties were studied by permeability measurements. The investigation was ultimately performed on films produced in industrial equipment, and the results were compared to those for a typical, standard polypropylene (PP) film used in flexible packaging applications. It was found that the mechanical properties were adequate (in some cases, even up to 25–30% higher than for the PP counterpart), as well as oxygen permeability. On the other hand, water permeability was significantly higher than that of PP films, and this should be taken into account in cases where high water vapour barrier properties are required. © 2024 Society of Industrial Chemistry.
School psychologists' training and experience in providing grief support
Authors: Brown Jacqueline A. , Snider Kara M. , Hall Hannah G. , Rotzal Jennifer L. , Gow Morgan M. 
Published: March 2024

AbstractSchool‐based mental health professionals consistently report that they are either not prepared to support grieving students, or do not have time to integrate crisis intervention support into their hectic schedule. Given that inadequate school mental health services can increase a bereaved student's risk of developing emotional problems, it is critical that school psychologists increase their comfort in grief. This study surveyed 75 school psychologists in the Northwestern United States regarding their training and experience in grief support. A reflexive thematic analysis identified four themes related to the challenges and recommendations in grief support: lack of training, limited role of the school psychologist, lack of formalized grief response system, and lack of school and community resources. Furthermore, only 3% of participants reported taking the lead in providing grief support and 64% provide grief support fewer than five times a year. The majority (81%) reported that they had zero courses devoted to grief support during their graduate degree, with more participants (67%) obtaining grief training postdegree. Study limitations, areas for further research, and implications for schools and school psychologists are also discussed.
VPBrowse: Genome‐based representation of MS/MS spectra to quantify 10,000 bovine proteins
Authors: Paramasivan Selvam , Ashick Mohamed , Dudley Kevin J. , Satake Nana , Mills Paul C. , Sadowski Pawel , Nagaraj Shivashankar H. 
Published: March 2024

AbstractSWATH is a data acquisition strategy acclaimed for generating quantitatively accurate and consistent measurements of proteins across multiple samples. Its utility for proteomics studies in nonlaboratory animals, however, is currently compromised by the lack of sufficiently comprehensive and reliable public libraries, either experimental or predicted, and relevant platforms that support their sharing and utilization in an intuitive manner. Here we describe the development of the Veterinary Proteome Browser, VPBrowse (http://browser.proteo.cloud/), an on‐line platform for genome‐based representation of the Bos taurus proteome, which is equipped with an interactive database and tools for searching, visualization, and building quantitative mass spectrometry assays. In its current version (VPBrowse 1.0), it contains high‐quality fragmentation spectra acquired on QToF instrument for over 36,000 proteotypic peptides, the experimental evidence for over 10,000 proteins. Data can be downloaded in different formats to enable analysis using popular software packages for SWATH data processing whilst normalization to iRT scale ensures compatibility with diverse chromatography systems. When applied to published blood plasma dataset from the biomarker discovery study, the resource supported label‐free quantification of additional proteins not reported by the authors previously including PSMA4, a tissue leakage protein and a promising candidate biomarker of animal's response to dehorning‐related injury.
In‐Network Quantum Computing for Future 6G Networks
Authors: Urgelles Helen , Maheshwari Shivam , Nande Swaraj Shekhar , Bassoli Riccardo , Fitzek Frank H.P. , Monserrat Jose F. 
Published: March 2024

AbstractIn light of the imperative for expeditious data processing and enhanced global connectivity, the domain of communication technology is experiencing a rapid progression from the Fifth Generation (5G) to the forthcoming Sixth Generation (6G) within the research community. Furthermore, 6G promises to significantly augment the synergy between the human, digital, and physical realms, thereby necessitating the formulation of novel Key Performance Indicators (KPIs) as well as Key Values Indicators (KVIs), and the assimilation of commensurate technologies. Among these technologies, quantum computing is evolving rapidly due to its inherent advantages from quantum mechanics. Nevertheless, scant attention is directed toward a comprehensive exploration of the consequences attendant to its present‐day application. The principal objective of this article resides in its endeavor to underscore, from a compensatory perspective, the convergence of 6G and quantum computing while concurrently considering the Sustainable Development Goals and its KVIs.
Airway obstruction due to mochi (sticky rice cake) retrieved with a cryoprobe
Authors: Kawataki Masanori , Hamakawa Masamitsu , Hayase Momoko , Ishida Tadashi 
Published: March 2024

Key messageCryoprobes represent an option for bronchial foreign body removal in cases of bronchial obstruction due to viscous substances such as mochi at body temperature.
Event‐triggered bipartite consensus for high‐order nonlinear multi‐agent systems with actuator faults
Authors: Qi Yanan , Zhang Xianfu , Mu Rui , Liu Qingrong 
Published: March 2024

AbstractThis article addresses the event‐triggered bipartite consensus problem for high‐order nonlinear multi‐agent systems with antagonistic interactions. Intermittent actuator faults covering bias and partial loss of effectiveness are also investigated. To achieve consensus, a relative‐output‐dependent compensator is constructed based on a time‐varying gain. Subsequently, by integrating adaptive compensation mechanisms as well as an event‐triggered mechanism, an output‐feedback fault‐tolerant consensus protocol is proposed for the sake of fault compensation. It is worth noting that a positive function is embedded in the triggering function to adjust the triggering threshold and exclude the Zeno behavior. Under a signed digraph, it is shown that the designed protocol enables all agents to achieve consensus with opposite signs, even if the total number of unknown faults is infinite. Finally, a simulation is presented to illustrate the validity of the obtained protocol.
Optimal design of time‐varying parameter fractional order controller using ameliorated gazelle optimization algorithm
Authors: Duan Yujie , Liang Jianguo , Liu Jianglin , Li Yinhui , Xie Jiaquan , Zhang Tengda , Feng Zhongwei , Zhao Xiaodong 
Published: March 2024

AbstractThe model parameter uncertainty and controller gain disturbance of the factory servo system are challenges that affect the robustness and control performance of the system. In this paper, a class of factory servo systems with non‐integer order is studied. The stable boundary trajectory method of the fractional order system is used to determine the parameter stability domain that makes the control system stable. An optimal gain trade‐off design method for time‐varying parameter fractional order PID controller () is proposed. The time function is introduced as the adjustment formula to realize the adaptive adjustment of the controller gain. The Lyapunov theorem analyzes the stability of the method. At the same time, an ameliorated gazelle optimization algorithm (AGOA) is proposed to optimize the parameters of the controller, and the weight relationship is changed to set the objective function to obtain the optimal performance combination after optimization. The benchmark function optimization test is completed. Statistical analysis shows that AGOA can enhance the global search ability, prevent the acquisition of local optimum, and have faster convergence speed. The final simulation results show that the proposed scheme is a promising alternative to improve the system control performance.
Ion Transport Behavior in van der Waals Gaps of 2D Materials
Authors: Yang Yahan , Wang Moxuan , He Qianqian , Zhai Pengbo , Zhang Peng , Gong Yongji 
Published: March 2024

Abstract2D materials, with advantages of atomic thickness and novel physical/chemical characteristics, have emerged as the vital building blocks for advanced lamellar membranes which possess promising potential in energy storage, ion separation, and catalysis. When 2D materials are stacked together, the van der Waals (vdW) force generated between adjacent layered nanosheets induces the construction of an ordered lamellar membrane. By regulating the interlayer spacing down to the nanometer or even sub‐nanometer scale, rapid and selective ion transport can be achieved through such vdW gaps. The further improvement and application of qualified 2D materials‐based lamellar membranes (2DLMs) can be fulfilled by the rational design of nanochannels and the intelligent micro‐environment regulation under different stimuli. Focusing on the newly emerging advances of 2DLMs, in this review, the common top‐down and bottom‐up synthesis approaches of 2D nanosheets and the design strategy of functional 2DLMs are briefly introduced. Two essential ion transport mechanisms within vdW gaps are also involved. Subsequently, the responsive 2DLMs based on different types of external stimuli and their unique applications in nanofluid transport, membrane‐based filters, and energy storage are presented. Based on the above analysis, the existing challenges and future developing prospects of 2DLMs are further proposed.