bluuebunny/crossref_metadata_2025_split huggingface dataset:
RCS reduction of wide-band, high-gain antenna array based on asymmetric transmission metasurfaces
Authors: Wu Ting , Yan Lei , Zhang Zikang 
Published: June 2024

AbstractIn this paper, an ultra-wideband stealth antenna with high gain on the basis of asymmetric transmission metasurface (ATMS) is proposed. ATMS can convert an incident y-polarised sphere wave into an x-polarised plane wave at the front side and controls the scattering of the incident y-polarised wave to the back side. Excitation of ATMS via a horn antenna, a low radar cross-section (RCS) and wideband antenna system is designed. Furthermore, through design of the meta-atoms and optimization of the macrosequencing, broadband RCS reduction is achieved. The experimental data indicated the reduction of the RCS of the antenna system by up to 10 dB and more than 20 dB in the frequency range of 10.1 GHz to 18 GHz (relative bandwidth is 56.2%) and 13.9 GHz to 18 GHz (relative bandwidth is 25.7%), respectively. In addition, a 3 dB gain relative bandwidth of 57.4% is achieved between 10 and 18 GHz, with a peak gain of 28.2 dB. It is noteworthy that the high gain and low scattering performance of the antenna are achieved in the same spectral range (10–18 GHz), and there is no interference between the scattering performance and radiation performance of the antenna, which could be controlled separately.
Computational study of effect of hybrid nanoparticles on hemodynamics and thermal transfer in ruptured arteries with pathological dilation
Authors: Hussain Azad , Riaz Muhammad Bilal , Dar Muhammad Naveel Riaz , Kanwal Rimsha , Sarwar Lubna , Jhangeer Adil 
Published: June 2024

AbstractThe intended research aims to explore the convection phenomena of a hybrid nanofluid composed of gold and silver nanoparticles. This research is novel and significant because there is a lack of existing studies on the flow behavior of hybrid nanoparticles with important physical properties of blood base fluids, especially in the case of sidewall ruptured dilated arteries. The implementation of combined nanoparticles rather than unadulterated nanoparticles is one of the most crucial elements in boosting the thermal conduction of fluids. The research methodology encompasses the utilization of advanced bio-fluid dynamics software for simulating the flow of the nanofluid. The physical context elucidates the governing equations of momentum, mass, momentum, and energy in terms of partial differential equations. The results are displayed in both tabular and graphical forms to demonstrate the numerical and graphical solutions. The effect of physical parameters on velocity distribution is illustrated through graphs. Furthermore, the study’s findings are unique and original, and these computational discoveries have not been published by any researcher before. The finding implies that utilizing hybrid nanoparticles as drug carriers holds great promise in mitigating the effects of blood flow, potentially enhancing drug delivery, and minimizing its impact on the body.
Discovery of a new class of cell-penetrating peptides by novel phage display platform
Authors: Liu Jinsha , Heddleston John , Perkins Douglas Raymond , Chen Jack Jia Hua , Ghanbarpour Ahmadreza , Smith Bill William , Miles Rebecca , Aihara Eitaro , Afshar Sepideh 
Published: June 2024

AbstractThe primary hurdles for small interference RNA (siRNA) in clinical use are targeted and cytosolic delivery. To overcome both challenges, we have established a novel platform based on phage display, called NNJA. In this approach, a lysosomal cathepsin substrate is engineered within the flexible loops of PIII, that is displaying a unique random sequence at its N-terminus. NNJA library selection targeting cell-expressed targets should yield specific peptides localized in the cytoplasm. That is because phage internalization and subsequent localization to lysosome, upon peptide binding to the cell expressed target, will result in cleavage of PIII, rendering phage non-infective. Such phage will be eliminated from the selected pool and only peptide-phage that escapes lysosomes will advance to the next round. Proof of concept studies with the NNJA library demonstrated cytosolic localization of selected peptide-phage and peptide-siRNA, confirmed through confocal microscopy. More importantly, conjugation of siHPRT to monomeric or multimeric NNJA peptides resulted in significant reduction in HPRT mRNA in various cell types without significant cytotoxicity. Sequence similarity and clustering analysis from NGS dataset provide insights into sequence composition facilitating cell penetration. NNJA platform offers a highly efficient peptide discovery engine for targeted delivery of oligonucleotides to cytosol.
The disproportionate impact of enhanced evaporation from melting arctic sea ice on cold-season land precipitation trends
Authors: Liu Yubo , Tang Qiuhong , Zhang Chi , Chen Deliang , Francis Jennifer A. , Leung L. Ruby , Chen Hans W. 
Published: June 2024

AbstractDiminishing Arctic sea ice has led to enhanced evaporation from the Arctic marginal seas (AMS), which is expected to alter precipitation over land. In this work, AMS evaporation is numerically tracked to quantify its contribution to cold-season (October–March) precipitation over land in the Northern Hemisphere during 1980–2021. Results show a significant 32% increase in AMS moisture contribution to land precipitation, corresponding to a 16% increase per million square km loss of sea ice area. Especially over the high-latitude land, despite the fractional contribution of AMS to precipitation being relatively low (8%), the augmented AMS evaporation contributed disproportionately (42%) to the observed upward trend in precipitation. Notably, northern East Siberia exhibited a substantial rise in both the amount and fraction of extreme snowfall sourced from the AMS. Our findings underscore the importance of the progressively ice-free Arctic as an important contributor to the escalating levels of cold-season precipitation and snowfall over northern high-latitude land.
Capturing relationships between suturing sub-skills to improve automatic suturing assessment
Authors: Cui Zijun , Ma Runzhuo , Yang Cherine H. , Malpani Anand , Chu Timothy N. , Ghazi Ahmed , Davis John W. , Miles Brian J. , Lau Clayton , Liu Yan , Hung Andrew J. 
Published: June 2024

AbstractSuturing skill scores have demonstrated strong predictive capabilities for patient functional recovery. The suturing can be broken down into several substep components, including needle repositioning, needle entry angle, etc. Artificial intelligence (AI) systems have been explored to automate suturing skill scoring. Traditional approaches to skill assessment typically focus on evaluating individual sub-skills required for particular substeps in isolation. However, surgical procedures require the integration and coordination of multiple sub-skills to achieve successful outcomes. Significant associations among the technical sub-skill have been established by existing studies. In this paper, we propose a framework for joint skill assessment that takes into account the interconnected nature of sub-skills required in surgery. The prior known relationships among sub-skills are firstly identified. Our proposed AI system is then empowered by the prior known relationships to perform the suturing skill scoring for each sub-skill domain simultaneously. Our approach can effectively improve skill assessment performance through the prior known relationships among sub-skills. Through the proposed approach to joint skill assessment, we aspire to enhance the evaluation of surgical proficiency and ultimately improve patient outcomes in surgery.
Evaluation of dominant factors for stability of grid‐connected inverters based on impedance sensitivity analysis
Authors: Fang Lei , Feng Longji , Chu Chengbo , Xu Jun , Wu Rong , Fan Qingchuan 
Published: June 2024

AbstractThis article proposes a method for evaluating the dominant factors of grid‐connected inverters based on impedance models, which can achieve quantitative calculation of the dominant factors of system stability. First, an impedance model was established, and an analysis method based on the impedance model was proposed to calculate the absolute sensitivity. The control and circuit parameters of the grid‐connected inverter were calculated, and the impact trend of each parameter on system stability was obtained. Then, in order to eliminate the influence of dimensions between various parameters and achieve traceability of the dominant factors of stability, an absolute sensitivity stability analysis method was proposed to analyze the influencing factors of different frequency bands, and based on this, a suppression scheme of harmonic resonance is proposed. Finally, the accuracy of the method was verified through impedance sweep based on grid‐connected inverters.
Low‐carbon demand response program for power systems considering uncertainty based on the data‐driven distributionally robust chance constrained optimization
Authors: Zhao Ruifeng , Song Zehao , Xu Yinliang , Lu Jiangang , Guo Wenxin , Li Haobin 
Published: June 2024

AbstractThe demand response (DR) program is an effective solution to promote the low‐carbon operation of power systems with increasing penetration of renewable energy sources (RESs). This paper proposes a low‐carbon DR program for power systems to enhance both the environmental friendliness and uncertainty resilience of the system operation. The system operator aims to minimize both the system's operation cost and carbon trading cost. To handle the uncertainty associated with stochastic RES generation power and load consumption power, a data‐driven method named the two‐sided distributionally robust chance‐constrained (TS‐DRCC) approach is adopted to enhance the system's uncertainty resilience. A ladder‐type carbon trading scheme is utilized to calculate the carbon emission cost of the system. Comprehensive analyses of case studies have been conducted to validate that the proposed strategy can effectively reduce the total carbon emissions and total operation costs with good uncertainty resilience performance. The proposed low‐carbon DR program is verified to achieve 63.64% more carbon emission reduction compared with the conventional DR program. Besides this, the proposed low‐carbon DR program can also achieve 4.39% carbon‐intensive generation power reduction and 5.52% RES power consumption compared with the conventional DR program.
Die Daumensattelgelenksarthrose – Aspekte zur Indikationsstellung von
Resektionsarthroplastik und Daumensattelgelenksprothese
Authors: Windhofer Christian Matthias , Hirnsperger Christoph , Lill Markus 
Published: June 2024

ZusammenfassungDie Daumensattelgelenksarthrose stellt die häufigste operationsbedürftige
Arthrose an der Hand dar, wenngleich vor jeder operativen Therapie immer die
konservativen Maßnahmen ausgereizt werden sollen. Wird bei Fortschreiten der
Gelenkabnutzung jedoch anhaltend die Funktion des Daumens und somit der gesamten
Hand schmerzbedingt eingeschränkt, ist eine chirurgische Behandlung indiziert.
Bereits 1947 publizierte Gervis Ergebnisse nach Entfernung des Trapeziums und
leitete damit die Entwicklung einer Vielzahl unterschiedlicher
Operationsverfahren ein. Das Hauptproblem nach Resektionsarthoplastiken mit oder
ohne Sehneninterposition und/oder Suspension stellt nach wie vor die sehr lange
Rehabilitationszeit dar. Nach der Einführung der ersten Prothese des
Daumensattelgelenkes durch De la Caffiniere vor 50 Jahren kam es zu einer
raschen Entwicklung hin zu den aktuellen modularen, bipolaren Implantaten. Vor
allem im deutschsprachigen Raum besteht nach wie vor eine gewisse Skepsis
bezüglich der Prothesen, weshalb diese Arbeit beide chirurgischen Verfahren mit
besonderem Augenmerk auf die Aspekte der Indikationsstellung beleuchten
soll.
Aktuelle Trends bei der Implantation der Touch-Prothese am
Daumensattelgelenk: Ergebnisse des 1. deutschsprachigen
Anwendertreffens
Authors: Herren Daniel B. , Beaulieu Jean-Yves , Calcagni Maurizio , Erling Christoph , Jung Martin , Kaulich Axel , Mühldorfer-Fodor Marion , Papaloïzos Michaël , Rosenkranz Anton , Vögelin Esther , Marks Miriam 
Published: June 2024

ZusammenfassungDurch die Einführung der neuesten Generation von Daumensattelgelenksprothesen zur
Behandlung der Rhizarthrose hat sich das handchirurgische Behandlungsspektrum in
den letzten Jahren deutlich erweitert. Der technische Anspruch dieser Operation
und die vielen Details, die es zu beachten gilt, bedingen jedoch ein
entsprechendes Training und eine damit verbundene Lernkurve. Um Erfahrungen mit
der Touch Daumensattelgelenksprothese auszutauschen, haben wir das erste
deutschsprachige Anwendertreffen zur Daumensattelgelenksprothetik in Zürich
durchgeführt. Nach einigen grundlegenden Einführungsvorträgen zur Biomechanik
und zu den Prinzipien der prothetischen Versorgung des Daumensattelgelenkes
wurden in interaktiven Expertenrunden die verschiedenen Herausforderungen um die
Daumensattelgelenksprothetik diskutiert. Anschließend wurden in Kleingruppen
unter kundiger Leitung Fälle besprochen und die jeweiligen Konklusionen im
Plenum diskutiert. Die wesentlichen Ergebnisse dieses Symposiums sind in diesem
Manuskript zusammengefasst.
College students’ entrepreneurship policy, regional entrepreneurship spirit, and entrepreneurial decision-making
Authors: Huang Yangjie , Zhang Jiali , Xu Ying , Sun Shuanglei , Bu Yajing , Li Sihui , Chen Yingying 
Published: June 2024

AbstractCollege students represent a burgeoning force in mass entrepreneurship, underscoring the critical need to nurture their entrepreneurial endeavors. This study adopts a quantitative method, surveying 33,660 Chinese college students engaged in entrepreneurial activities. It examines the impact of various entrepreneurial policies and regional entrepreneurship spirit on these students’ decision-making processes. The findings reveal a positive correlation between entrepreneurial policies and entrepreneurial decision-making among college students, with regional entrepreneurship spirit serving as a mediator. Gender influences the relationship between regional entrepreneurship spirit and entrepreneurial decision-making, primarily moderating the effects of supply-based and environmentally-oriented policies. Entrepreneurship must be deeply integrated within China’s unique social networks and informal institutional frameworks. The moderating influence of gender also highlights differing policy impacts among various student groups. This research contributes to the enhancement and understanding of the policy support mechanism’s effect on college students and underscores the necessity for precise implementation of entrepreneurship policies tailored to college students.
Community-Based Tourism as a Sustainable Approach to Tourism Development in Jibhi Valley, Himachal Pradesh, India
Authors: Gogoi Parishmita , Maheshwari Alka 
Published: June 2024

Summary
The Jibhi Valley of Himachal Pradesh, India, has vast potential for community-based tourism (CBT), offering unique village experiences with quality accommodation. CBT empowers locals to generate income and share their culture, showcasing handicrafts, local cuisines, and authentic experiences. Celebration of Jibhi’s religious festivals and traditional rituals add a niche cultural perspective of the valley. The pristine environment mostly attracts nature enthusiasts, bird watchers, and hikers. Jibhi’s prospects include cultural experiences, village stays, wildlife encounters, nature-based tourism, agro-tourism, wellness, art, and adventure.

Information
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On the evolution of the volume in Loop Quantum Cosmology
Authors: Navascués Beatriz Elizaga 
Published: June 2024

Abstract
The dynamics of the expectation value of the volume is one of the key ingredients behind the replacement of the Big Bang singularity by a bounce in Loop Quantum Cosmology. As such, it is of great importance that this quantity is mathematically well-defined in the space of physical states of the theory. A number of caveats have been raised about such a definition entering in conflict with the quantum evolution of states, motivated by the situation found in quantum geometrodynamics. We show that there are ways around these caveats, all of which are related to the existence of quantization prescriptions leading to a nondegenerate curvature operator in Loop Quantum Cosmology. Interestingly, the properties of the curvature operator that may allow for a good behavior of the volume are only possible thanks to the discreteness of the geometry characteristic of the loop quantization procedure.
A lightweight complex-domain acoustic feature extraction method for rotating machinery fault detection
Authors: Wei Xiaoyi , Ding Lansa , Wang Dezheng , Ma Liuqi , Chen Congyan 
Published: June 2024

Abstract
In the field of fault diagnosis for factory machinery systems, the development of deep learning methods has been hindered by the challenge of acquiring fault data, highlighting the need to extract noise robust features from limited labeled data. In this paper, a light and efficient complex-domain acoustic feature extraction method, complex-domain principal frequency convolution network (CPFCN) is proposed for fault diagnosis in rotating machinery, which consists of a principal frequency filter (PFF) and stacked convolution network (SCN). The PFF filters out non-principal frequency noise to focus on the predominant frequency. The SCN is designed to effectively extract the amplitude and phase features, which can fully leverage the complex-domain information within the acoustic data. The experimental results show that the proposed CPFCN have 33% increasing in accuracy while 87% reduction in training time and 41% reduction in feature extraction time. Additionally, the proposed framework has improved the accuracy by 59% on the dataset with noise compared to the best-performing method in the experimental study, achieving stronger noise robustness in the case of limited samples.
An improved LIO-SAM algorithm by integrating image information for dynamic and unstructured environments
Authors: Meng Xinyu , Chen Xi , Chen Shaofeng , Fang Yongfeng , Fan Hao , Luo Jiyu , Wu Yuhan , Sun Bingyu 
Published: June 2024

Abstract
Simultaneous localization and mapping (SLAM) is the process of estimating the trajectory of a mobile sensor carrier and creating a representation of its surroundings. Traditional SLAM algorithms are based on ‘static world assumption’ and simplify the problem by filtering out moving objects or tracking them separately in complex dynamic environments. However, this strong assumption restricts the application of SLAM algorithms on highly dynamic and unstructured environments. In order to resolve above problem, this paper propose an improved object-aware dynamic SLAM system by integrating image information, i.e. semantic and velocity information. Firstly, we adopt deep learning method to detect both the 2D and 3D bounding boxes of objects in the environment. This information is then used to perform multi-view, multi-dimensional bundle optimization to jointly refine the poses of camera, object, and point. Secondly, 2D detection results from image and 3D detection results from lidar are integrated by the joint probabilistic data association data association algorithm to facilitate object-level data association. We also calculate 2D and 3D motion velocity and this information is used to constraint the motion of the object. Finally, we perform comprehensive experiments on different datasets, including NCLT, M2DGR, and KITTI to prove the performance of the proposed method.
MC-WDWCNN: an interpretable multi-channel wide-kernel wavelet convolutional neural network for strong noise-robust fault diagnosis
Authors: Zhou Jianyu , Zhang Xiangfeng , Jiang Hong , Shao Zhenfa , Ma Benchi , Zhou Rong 
Published: June 2024

Abstract
Deep learning-based methods have shown promising results in fault diagnosis, but research on interpretability and noise robustness still needs to be done. A multi-channel wide-kernel wavelet convolutional neural network is proposed to address these issues. Firstly, a first layer of multi-channel wide-kernel convolution is designed to fuse different weight information and suppress high-frequency noise. Secondly, a discrete wavelet transform block is designed to retain the low-frequency components of the discrete wavelet transform for signal denoising and feature dimension reduction. At the same time, Improved Balance Dynamic Adaptive Threshold is used to enhance the robustness of the model’s noise and the sparsity of features, making the model easier to optimize. Lastly, a power spectrum and normalized class activation mapping are designed to validate the post-hoc explanations of the model. The effectiveness and reliability of the Multi-Channel Wide Kernel Wavelet Convolutional Neural Network are verified through two gearbox datasets.
Micro-crack in solids evaluation based on zero-frequency component of the critically refracted longitudinal wave
Authors: Wang Zhijiao , Tang Weili , Li Xinxin , Yang Yongjun , Bi Yiwen 
Published: June 2024

Abstract
Micro-crack in engineering materials may cause subtle changes in mechanical properties, which can lead to serious engineering accidents. It is of great significance to study the identification of micro-cracks. In this paper, it is discovered that when the critically refracted longitudinal (

L

CR

) wave propagates in elastic solids containing micro-crack, the waveform of ultrasonic waves becomes distorted, resulting in the generation of a zero-frequency component. The generated zero-frequency component provides a new research idea for micro-crack detection. Firstly, the paper derives the wave equation for nonlinear

L

CR

wave and provides a preliminary analytical solution with a zero-frequency component. Subsequently, through a combined approach involving numerical simulation and experimental observation, along with micro-crack modeling, the study delves deeper into the acoustic nonlinear characteristics of the zero-frequency component under the breathing behavior of micro-crack. Finally, both numerical simulation and experimental methods show that the zero-frequency component based on

L

CR

wave is feasible to detect micro-crack, and it is also proved that the zero-frequency component has higher sensitivity to micro-crack damage than the second and third harmonics.
The role of Sn grain orientation in Cu depletion of Sn-based solders
Authors: Haq Fariha , Pham Andrew , Sadasiva Subramanya , Li Guangxu , Koslowski Marisol 
Published: June 2024

AbstractThe miniaturization of solder bumps in flip-chip packages results in large variability in their microstructure making the prediction of joint lifetime challenging. This is of particular importance in Sn-rich solders due to the anisotropic diffusion behavior of Sn and the presence of fast diffusion pathways, such as grain boundaries and twins that vary from joint to joint. We developed a multi-physics phase-field model to predict the electromigration-enhanced evolution of intermetallic compounds in Cu/Sn system with different grain structures. We present simulations of solder joints with polycrystalline Sn with grains with different orientations to observe the effect of Sn anisotropy and grain boundaries on electromigration failure. The simulations predict Cu depletion in the cathode and the formation and accumulation of intermetallic compounds along Sn grain boundaries dependent on the Sn grain orientation. Additionally, Cu6Sn5clusters are formed in the Sn matrix when high diffusion rates at the interfaces are considered.