bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electromyographically controlled prosthetic wrist improves dexterity and reduces compensatory movements without added cognitive load
Authors: Olsen Connor D. , Olsen Nathaniel R. , Stone Eric S. , Tully Troy N. , Paskett Michael D. , Teramoto Masaru , Clark Gregory A. , George Jacob A. 
Published: October 2024

AbstractWrist function is a top priority for transradial amputees. However, the combined functional, biomechanical, and cognitive impact of using a powered prosthetic wrist is unclear. Here, we quantify task performance, compensatory movements, and cognitive load while three transradial amputees performed a modified Clothespin Relocation Task using two myoelectric prostheses with and without the wrists. The two myoelectric prostheses include a commercial prosthesis with a built-in powered wrist, and a newly developed inexpensive prosthetic wrist for research purposes, called the “Utah wrist”, that can be adapted to work with various sockets and prostheses. For these three participants, task failure rate decreased significantly from 66% ± 12% without the wrist to 39% ± 9% with the Utah wrist. Compensatory forward leaning movements also decreased significantly, from 24.2° ± 2.5 without the wrist to 12.6° ± 1.0 with the Utah wrist, and from 23.6° ± 7.6 to 15.3° ± 7.2 with the commercial prosthesis with an integrated wrist. Compensatory leftward bending movements also significantly decreased, from 20.8° ± 8.6 to 12.3° ± 5.3, for the commercial with an integrated wrist. Importantly, simultaneous myoelectric control of either prosthetic wrist had no significant impact on cognitive load, as assessed by the NASA Task Load Index survey and a secondary detection response task. This work suggests that functional prosthetic wrists can improve dexterity and reduce compensation without significantly increasing cognitive effort. These results, and the introduction of a new inexpensive prosthetic wrist for research purposes, can aid future research and development and guide the prescription of upper-limb prostheses.
Finite element analysis of restoring length with multiple internal fixations in calcaneal body fracture
Authors: Yao Xiang , Ding Peiqi , Wang Chong , Miao Han , Chao Yicong , Wang Jiawei , Hu Minjie , Tang Jilei 
Published: October 2024

Abstract
Calcaneal body fractures are often associated with varying degrees of shortening deformities. Restoring calcaneal length is crucial for the functional prognosis of the foot. Through finite element analysis, this study compared the biomechanical effects of multiple fixation schemes for calcaneal fractures. We delineated and assembled the finite element model of the Sanders type II calcaneal fracture and four internal fixation simulations (namely distraction screw, lag screw, frame locking plate, and T-shaped locking plate). Different axial forces (350, 700, and 1400 N) were then applied to simulate various postures. We then compared the inner and outer shortening distances (D1 and D2, respectively), equivalent von Mises stress, and maximum von Mises stress of the calcaneus. In the individual model, with an increase in the pressure, D1, D2, and the maximum von Mises stress gradually increased. At 1400 N, D1 and D2 for the internal fixation schemes were as follows: distraction screw (0.03 mm, 0.1 mm) < T-shaped locking plate (0.45 mm, 0.26 mm) < frame locking plate (0.50 mm, 0.26 mm) < lag screw (0.66 mm, 0.64 mm). The maximum von Mises stress values for the internal fixation methods were as follows: lag screw (491.0 MPa) < distraction screw (663.1 MPa) < frame locking plate (772.7 MPa) < T-shaped locking plate (931.8 MPa). In patients with calcaneal body fractures, the distraction screw is a potential therapeutic option for resisting calcaneal shortening.
Mitigating noise in digital and digital–analog quantum computation
Authors: García-Molina Paula , Martin Ana , Garcia de Andoin Mikel , Sanz Mikel 
Published: October 2024

AbstractNoisy Intermediate-Scale Quantum (NISQ) devices lack error correction, limiting scalability for quantum algorithms. In this context, digital-analog quantum computing (DAQC) offers a more resilient alternative quantum computing paradigm that outperforms digital quantum computation by combining the flexibility of single-qubit gates with the robustness of analog simulations. This work explores the impact of noise on both digital and DAQC paradigms and demonstrates DAQC’s effectiveness in error mitigation. We compare the quantum Fourier transform and quantum phase estimation algorithms under a wide range of single and two-qubit noise sources in superconducting processors. DAQC consistently surpasses digital approaches in fidelity, particularly as processor size increases. Moreover, zero-noise extrapolation further enhances DAQC by mitigating decoherence and intrinsic errors, achieving fidelities above 0.95 for 8 qubits, and reducing computation errors to the order of 10−3. These results establish DAQC as a viable alternative for quantum computing in the NISQ era.
Action recognition algorithm based on skeleton graph with multiple features and improved adjacency matrix
Authors: Zhang Shanqing , Jiao Shuheng , Chen Yujie , Xu Jiayi 
Published: October 2024

AbstractAlthough graph convolutional networks have achieved good performances in skeleton‐graph‐based action recognition, there are still some problems which include the incomplete utilization of skeleton graph features and the lacking of logical adjacency information between nodes in adjacency matrix. In this article, a human action recognition algorithm is proposed based on multiple features from the skeleton graph to solve these problems. More specifically, an improved adjacency matrix is constructed to make full use of the multiple skeleton graph features. These features include local differential features, multi‐scale edge features, features of the original skeleton graph, nodal features, and nodal motion features. Extensive results are conducted on four standard datasets (NTU RGB‐D 60, NTU RGB‐D 120, Kinetics, and Northwestern‐UCLA). The experimental results show that the proposed algorithm outperforms the SOTA action recognition algorithms.
Rare Diseases and Syndromes Observed in Newborn Babies with
Idiopathic Hypertrophic Pyloric Stenosis
Authors: Kaya Başak , Akduman Hasan , Dilli Dilek , Geyik Cem , Karaman Ayşe , Uçan Berna , Kaya Özkan , Aydoğan Seda , Zenciroğlu Ayşegül 
Published: October 2024

Abstract
Aim  Although infantile hypertrophic pyloric stenosis is a multifactorial
disease caused by genetic and environmental factors, the role of genetic factors
has become more important recently. With this study, we aimed to present rare
diseases accompanying infantile hypertrophic pyloric stenosis caused by genetic
factors.
Patients and Methods  This is a retrospective study. Babies who were
operated on with the diagnosis of infantile hypertrophic pyloric stenosis in the
neonatal intensive care unit between 2000 and 2022 and had additional diseases
were included in the study.
Results  9.8% of patients diagnosed with infantile hypertrophic pyloric
stenosis had an accompanying rare disease.
Conclusion  Early diagnosis and treatment of rare diseases associated with
infantile hypertrophic pyloric stenosis are of great importance in reducing
morbidity/mortality due to these diseases.
Tachycardia–Desaturation Episodes in Neonatal Intensive Care Unit Patients with and without Bronchopulmonary Dysplasia
Authors: Nagraj V Peter , Howard Paige , Fairchild Karen D. , Sullivan Brynne A. 
Published: October 2024

Objectives Much attention has been paid to measuring physiological episodes of bradycardia–oxygen desaturation (BDs) in the neonatal intensive care unit (NICU). NICU patients also have spells of tachycardia–desaturation (TDs), but these have not been well-characterized. We hypothesized that TDs would be more common among infants with bronchopulmonary dysplasia (BPD). We aimed to quantify daily TDs compared to BDs in NICU patients across a range of gestational and postmenstrual ages (GA and PMA) and determine whether TDs are associated with BPD.
Study Design We analyzed every 2-second heart rate (HR) and peripheral saturation of oxygen (SpO2) throughout the NICU stay of all infants with 24 to 39 weeks GA admitted to a single, level IV NICU from 2012 to 2015. BDs were defined in our prior work (HR <100 bpm for ≥4 seconds with concurrent SpO2 <80% for ≥10 seconds) and TDs as a 20% increase in HR from the previous 2-hour mean baseline and concurrent SpO2 <80% for ≥10 seconds. We calculated the median daily BDs and TDs across a range of GAs and PMAs. For infants ≤32 weeks GA, we compared TDs for those with and without BPD at 36 weeks PMA and discharge on supplemental oxygen.
Results We analyzed 782,424 hours of HR and SpO2 data from 1,718 neonates, with a median of 271 hours analyzed per infant. TDs frequency increased with increasing PMA across all GAs. BDs occurred most frequently in infants <29 weeks GA and decreased as infants approached term equivalent age. For infants with ≤32 weeks GA, one or more TD per day from 33 to 35 weeks PMA was associated with BPD and home oxygen.
Conclusion Episodes of TD at the thresholds defined in this analysis occurred more frequently at later PMA and were more common in infants with BPD and those requiring home oxygen.
Key Points
Numerical simulation of condensation of supercritical water gasification products in a supersonic nozzle
Authors: Wu Hongtu , Jurčević Mišo , Ström Henrik , Khurram Muhammad Shahzad , Jin Hui 
Published: October 2024

The clean and efficient separation of supercritical water gasification products (SCWGP) has emerged as a significant challenge in supercritical water gasification technology. This paper proposes the use of a supersonic nozzle for the condensation and separation of H2 and CO2 from SCWGP, leveraging the high-pressure characteristics of these products. By establishing a flow model and a condensation model for the supersonic nozzle, the effects of inlet pressure and inlet temperature on the condensation process are analyzed. The analysis reveals that the latent heat released during condensation causes an abnormal distribution of pressure and temperature within the nozzle. When the inlet pressure of the nozzle is increased from 7.0 to 9.0 MPa, the liquid phase mass fraction at the outlet rises from 5.3 × 10−3 to 0.056. Similarly, when the inlet temperature is lowered from 300.0 to 290.0 K, the liquid phase mass fraction at the outlet also rises from 5.3 × 10−3 to 0.058. The increase in inlet pressure leads to the condensation location shifting toward the throat by ∼8.5 × 10−3 m⋅MPa−1, while the impact of inlet temperature is approximately −2.3 × 10−3 m⋅K−1. The nucleation rate in the nozzle is always concentrated in a small region.
An ab initio approach to the Hugoniot
Authors: Wilkins Jacob S. , Probert Matt I. J. 
Published: October 2024

The Hugoniot is the equation of state of a shock-compressed material and is a key part of high-pressure physics. One way of calculating it is via the Hugoniostat that has significant computational advantages over direct calculation via non-equilibrium molecular dynamics. We introduce a number of improvements to the Hugoniostat, which significantly reduce the run time and the number of atoms required for converged results. Consequently, ab initio Hugoniot calculations are tractable. We illustrate the benefits through simple model potentials and with density functional theory calculations of argon.
The status of interjections in Cognitive Grammar
Authors: Hamawand Zeki 
Published: October 2024

Abstract
This paper reflects on interjections in English. An interjection is a word or phrase that is used to express strong emotions, often suddenly, like oops when a small mistake happens, as in Oops! I typed two Ls by mistake. To provide a new picture of interjections, it embeds the analysis in Cognitive Grammar. In this regard, it attempts to verify three claims of Cognitive Grammar. One claim describes a linguistic expression as a cluster of distinct but related senses. In light of this claim, the paper argues that an interjection forms a category of numerous senses organized around a central one. Another claim characterizes the meanings of linguistic expressions with respect to the fields to which they belong. In virtue of this claim, the paper argues that interjections form domains in which they stand for a general concept but differ in specifics. A further claim ascribes the use of a linguistic expression to the particular construal imposed on its content. Given this claim, the paper argues that the use of an interjection results from the particular perspective in which the speaker takes on a situation. The aim is to highlight the extra touch of meaning that interjections flavor the utterances in which they occur. The gist is that interjections are purposeful choices for expressing sentiments.
Metaphorical richness
Authors: Chen Chuanhong , Wen Xu 
Published: October 2024

Abstract
The present study probes into a comparative study of metaphorical expressions of money in English and Chinese. By hiring corpus-based methodology, this article aims to gain insight into the universality and variation of money-related conceptual metaphors manifested in corresponding linguistic expressions in English and Chinese. Drawing on the Conceptual Metaphor Theory, the findings unravel a significant overlay in money-related conceptual metaphors between English and Chinese, upholding a notch of acclaim. Additionally, a small part of money-related conceptual metaphors is specific in a certain kind of language, either in English or Chinese. Meanwhile, the present study tends to explore metaphorical conceptualizations of money primarily based on common bodily experiences, and thus, most money-related conceptual metaphors are universal in English and Chinese, while the variations in English and Chinese can be explained by cultural experiences. Consequently, this research contributes to our understanding of the interplay between conceptual unit schematicity and embodiment hierarchy. Moreover, it bids valued insights for future comparative studies on conceptual metaphors spanning diverse languages and cultures.
The interface between body and culture in the figurative conceptualization of the “eye” in
Amharic
Authors: Menete Sérgio N. , Jiang Guiying 
Published: October 2024

Abstract
Inspired by the notions of body-based and culturally specific embodiment, this study sheds light
on the interface between body and culture in the Amharic conceptualization of ayn ‘eye.’ Applying the “lexical
approach”, this paper examines the eye-related metaphors in Amharic monolingual and bilingual dictionaries. At the bodily level,
the widespread conceptual metaphors knowing/thinking is seeing and eyes are light sources, and the metonymies
eye for person and physiological (eye) change stands for an emotion are present in
Amharic. In the cultural dimension, ayn is related to the concept of the “evil eye”, which associates the eye
with mystical powers. However, contrary to the widespread superstitious belief of the “evil eye” in other cultures, the notion of
the “evil eye” in Amharic is associated with the concept of buda--a class of people socially segregated due to their
economic status and their supposedly accursed lineage. This study shows that the presence of similar conceptual metaphors
(“vision-light”, “vision-knowledge”, and “eye-emotion/personality” metaphors) and cultural beliefs (the “evil eye”) in different
languages/cultures does not necessarily entail equivalent conceptualization.
Enhanced fault diagnosis of segmented asymmetric stochastic resonance in rotating machinery under strong noise environment
Authors: Han Baokun , Man Xuhao , Zhang Zongzhen , Bao Huaiqian , Wang Jinrui 
Published: October 2024

Abstract
In industrial applications, strong noise hampers the extraction of reliable features from mechanical equipment, crucial for detecting faults. Stochastic resonance, unlike other methods, enhances weak signals effectively in noisy environments. However, it often suffers from oversaturation, a common issue when used to improve signal clarity. Therefore, this study introduces a method to prevent saturation with piecewise asymmetric stochastic resonance. A novel potential function is used. This allows the derivation of the output signal-to-noise ratio (SNR) in a bistable system under harmonic excitation. The method effectively manages the conversion of energy states and mitigates the influence of noise through dynamic adjustments to the barrier depth, width, and slope. Furthermore, system parameters are refined using an optimization algorithm to enhance performance and efficiency by optimizing the system response under noise conditions, thereby improving signal detection and reliability. Applied to the bearing fault datasets from Shandong University of Science and Technology, the results indicate that this enhanced method achieves a higher output SNR and a more pronounced peak at the fault characteristic frequency compared to traditional stochastic resonance methods. This study significantly enhances signal processing efficiency and noise tolerance in stochastic resonance, providing more reliable technical support for fault diagnosis in industrial machinery with severe noise interference, thereby improving maintenance efficiency and operational safety.
Impact of JL structure on analog/RF parameters and 6 T SRAM memory circuits of GNRFETs
Authors: Ahmad Md Akram , Chandra Mech Bhubon 
Published: October 2024

Abstract
The primary challenge in shrinking transistors is maintaining narrow source/drain (S/D) junctions with sharp doping gradients, necessitating advanced S/D and channel engineering techniques. The junctionless (JL) transistor design eliminates the need for junctions and doping gradients, simplifying manufacturing. This study uses process simulations to explore the impact of the JL configuration on the analog and radio frequency (RF) performance of double-gate (DG) graphene nanoribbon field-effect transistors (GNRFETs). The findings show that JL DG GNRFETs slightly outperform conventional DG GNRFETs, with a 15% increase in transconductance (gm) and a 10.3% higher cut-off frequency (fT). Additionally, the JL device exhibits a 16.2% higher gain-frequency product (GFP). The investigation employs self-consistent atomistic simulations within the non-equilibrium Green’s function (NEGF) framework, solving the Schrödinger equation under ballistic conditions. A high-performance hybrid 6 T static random-access memory (SRAM) is included to assess circuit-level variations and performance improvements.
The multi-resolution Haar wavelets collocation procedure for fractional Riccati equations
Authors: Ahsan Muhammad , Lei Weidong , Khan Amir Ali , Bohner Martin 
Published: October 2024

Abstract
In this paper, we present a Haar wavelet collocation method (HWCM) for solving fractional Riccati equations. The primary goal of this study is to bypass the requirement of calculating the Jacobian of the nonlinear system of algebraic equations by using an iterative quasi-linearization technique. The Haar wavelet series is then utilized to approximate the first-order derivative, which is incorporated into the Caputo derivative framework to express the fractional-order derivative. This process transforms the nonlinear Riccati equation into a linear system of algebraic equations, which does not require calculating the Jacobian and can be efficiently solved using any standard linear solver. We evaluate the performance of HWCM on various forms of fractional Riccati equations, demonstrating its efficiency and accuracy. Compared to existing methods in the literature, our proposed HWCM produces more precise results, making it a valuable tool for solving fractional-order differential equations.
Robust preference for Dynamical Dark Energy in DESI BAO and SN measurements
Authors: Giarè William , Najafi Mahdi , Pan Supriya , Di Valentino Eleonora , Firouzjaee Javad T. 
Published: October 2024

AbstractRecent Baryon Acoustic Oscillation (BAO) measurements released by DESI, when combined with Cosmic Microwave Background (CMB) data from Planck and two different samples of Type Ia supernovae (Pantheon-Plus and DESY5) reveal a preference for Dynamical Dark Energy (DDE) characterized by a present-day quintessence-like equation of state that crossed into the phantom regime in the past. A coreansatzfor this result is assuming a linear Chevallier-Polarski-Linder (CPL) parameterizationw(a) =w0+wa(1-a) to describe the evolution of the DE equation of state (EoS). In this paper, we test if and to what extent this assumption impacts the results. To prevent broadening uncertainties in cosmological parameter inference and facilitate direct comparison with the baseline CPL case, we focus on 4 alternative well-known models that, just like CPL, consist of only two free parameters: the present-day DE EoS (w0) and a parameter quantifying its dynamical evolution (wa). We demonstrate that the preference for DDE remains robust regardless of the parameterization:w0consistently remains in the quintessence regime, whilewaconsistently indicates a preference for a dynamical evolution towards the phantom regime. This tendency is significantly strengthened by DESY5 SN measurements. By comparing the best-fit χ2obtained within each DDE model, we notice that the linear CPL parameterization is not the best-fitting case. Among the models considered, the EoS proposed by Barboza and Alcaniz consistently leads to the most significant improvement.
Cosmic distance duality relation in light of time-delayed strong gravitational lensing*
Authors: Tang 唐 Li 丽 , Lin 林 Hai-Nan 海南 , Wu 吴 Ying 英 
Published: October 2024

Abstract
The cosmic distance duality relation (DDR), which links the angular-diameter and luminosity distances, is a cornerstone in modern cosmology. Any deviation from DDR may indicate new physics beyond the standard cosmological model. In this study, we used four high-precision time-delayed strong gravitational lensing (SGL) systems provided by H0LiCOW to test the validity of DDR. To this end, we directly compared the angular-diameter distances from these SGL systems with the luminosity distances from the latest Pantheon+ compilation of SNe Ia. To reduce the statistical errors arising from redshift matching, a Gaussian process method was applied to reconstruct the distance-redshift relation from the Pantheon+ dataset. We parameterized the possible violation of DDR in three different models. All results confirm the validity of DDR at

confidence level. Additionally, Monte Carlo simulations based on the future LSST survey indicated that the precision of DDR could reach the

level with 100 SGL systems.
Geometric error modeling and sensitivity analysis of a B-axis of the B-axis power-driven turret
Authors: Xu Jincheng , Wang Manxin , Wang Jiaqiang , Fang Fangwenyi , Zou Yun , Yang Yibo 
Published: October 2024

Abstract
To guide the design of the B-axis power-driven turret and improve its end accuracy, the geometric error model of its B-axis is established, and the sensitivity analysis of the error sources is completed. Firstly, based on the structure of the B-axis, six branch chains that can transfer the error sources of each component to the end error are decomposed. Then, the error modeling of the B-axis is transformed into error modeling for each branch chain. Secondly, the mapping relationship between the end position and orientation error and the error sources of each component is deduced using the multibody system theory method, and the sensitivity analysis model of the error sources is established using the Morris method. Finally, based on the example, the influence degree of each component error source on the end error and its components is obtained, and the key error sources affecting the accuracy of the B-axis are screened out, which lays a solid foundation for the accuracy synthesis and error compensation of the B-axis.