bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin wave-assisted enhanced current-driven domain wall movement
Authors: Gong Guangjian , Wang Yu , Hu Jingguo 
Published: September 2023

Abstract
The track memory based on current driven magnetic domain wall motion is a potential device for the next generation of magnetic information storage. To improve the speed of current driven domain wall motion and reduce the Joule heat, the relevant laws and physical mechanisms of the spin wave assisting current driven domain wall motion in long linear magnetic nanoribbons has been investigated to achieve spin wave assisted enhancement of current driven domain wall motion. The results show that the spin wave assisting can both enhances and weakens current driven domain wall motion depends on the driving current. Further research has shown that, for giving frequency spin waves, in the low current, spin wave assistance can enhance the current driven magnetic domain wall movement, and the enhancement of its movement speed increases non-monotonically with the increase of spin wave amplitude, but in the high current, spin wave assistance weakens the current driven magnetic domain wall movement, and the weakening of its movement speed nearly linear increases with the increase of spin wave amplitude. The critical current for distinguishing between the high and the low current depends on the amplitude and frequency of the assisting spin wave. On the other hand, for giving the amplitude spin wave, the increase or decrease of the spin wave assisting current driven domain wall motion exhibits a multimodal non-monotonic behavior as the frequency of the spin wave increases. Therefore, the appropriate spin wave assisting track storage technology can reduce the threshold current of track memory operation, making it more widely used. Also it can reduce Joule heat and improve the working efficiency of track memory.
Resting-state network predicts the decision-making behaviors of the proposer during the ultimatum game
Authors: Li Yuqin , Yang Qian , Liu Yuxin , Wang Rui , Zheng Yutong , Zhang Yubo , Si Yajing , Jiang Lin , Chen Baodan , Peng Yueheng , Wan Feng , Yu Jing , Yao Dezhong , Li Fali , He Baoming , Xu Peng 
Published: September 2023

Abstract

Objective. The decision-making behavior of the proposer is a key factor in achieving effective and equitable maintenance of social resources, particularly in economic interactions, and thus understanding the neurocognitive basis of the proposer’s decision-making is a crucial issue. Yet the neural substrate of the proposer’s decision behavior, especially from the resting-state network perspective, remains unclear. Approach. In this study, we investigated the relationship between the resting-state network and decision proposals and further established a multivariable model to predict the proposers’ unfair offer rates in the ultimatum game. Main results. The results indicated the unfair offer rates of proposers are significantly related to the resting-state frontal-occipital and frontal-parietal connectivity in the delta band, as well as the network properties. And compared to the conservative decision group (low unfair offer rate), the risk decision group (high unfair offer rate) exhibited stronger resting-state long-range linkages. Finally, the established multivariable model did accurately predict the unfair offer rates of the proposers, along with a correlation coefficient of 0.466 between the actual and predicted behaviors. Significance. Together, these findings demonstrated that related resting-state frontal-occipital and frontal-parietal connectivity may serve as a dispositional indicator of the risky behaviors for the proposers and subsequently predict a highly complex decision-making behavior, which contributed to the development of artificial intelligence decision-making system with biological characteristics as well.
Stochastic stability analysis of legged locomotion using unscented transformation
Authors: Er Güner Dilsad , Ankarali Mustafa Mert 
Published: September 2023

Abstract
In this manuscript, we present a novel method for estimating the stochastic stability characteristics of metastable legged systems using the unscented transformation. Prior methods for stability analysis in such systems often required high-dimensional state space discretization and a broad set of initial conditions, resulting in significant computational complexity. Our approach aims to alleviate this issue by reducing the dimensionality of the system and utilizing the unscented transformation to estimate the output distribution. This technique allows us to account for multiple sources of uncertainty and high-dimensional system dynamics, while leveraging prior knowledge of noise statistics to inform the selection of initial conditions for experiments. As a result, our method enables the efficient assessment of controller performance and analysis of parametric dependencies with fewer experiments. To demonstrate the efficacy of our proposed method, we apply it to the analysis of a one-dimensional hopper and an underactuated bipedal walking simulation with a hybrid zero dynamics controller.
Development of an impulsive motion generator inspired by cocking slip joint of snapping shrimp
Authors: Tajima Kiichi , Yagi Keisuke , Mori Yoshikazu 
Published: September 2023

Abstract
We propose an impulsive motion generator inspired by snapping shrimp. The proposed device mimics the geometrical arrangement of a unique claw joint called cocking slip joint and integrates it with an artificial rack-pinion actuator mechanism rather than adopting the musculoskeletal system as it is. The design approach allows the proposed device to reproduce the impulsive slip motion through the torque reversal and unlatching mechanism of the underlying unique joint by using a single servo motor. Static and dynamic analyses revealed that the actuator force required to store and release elastic energy was remarkably small compared with the resulting acceleration force and rotation/tip speed. Through simulations and experiments, we validated the mechanical analyses and confirmed that the resulting ultrafast slip motion was comparable with the claw closure of snapping shrimp based on the cocking slip joint. Moreover, from an engineering perspective, the motion profiles are modifiable through design parameters, and the repeatability of the impulsive slip motion is satisfactory.
Understanding the structural, electro-magnetic, mechanical, thermal and transport properties of Strontium based perovskite (SrPrO3)
Authors: Gautam Sakshi , Gupta Dinesh C 
Published: September 2023

Abstract
With the help of density functional theory, we have explored the structural, electro-magnetic, mechanical, thermal and transport properties of SrPrO3 perovskite. The optimization of energy reveals that the alloy is stable in ferromagnetic phase. The electronic and magnetic properties were calculated by generalized gradient approximation (GGA), Hubbard approximation (GGA + U) and Tran–Blaha modified Becke–Johnson (GGA+mBJ) potentials methods. The electronic structure depicts the half-metallic nature for the material in both the GGA and GGA+U approximations. The semiconducting nature is revealed by mBJ approximation. The elastic parameters reveal the ductile nature of the material. The response towards temperature and pressure of the different thermal parameters have also been evaluated with the help of quasi-harmonic Debye model. The thermoelectric potency of the material is measured in terms of Seebeck coefficient (S), electrical conductivity (σ/τ), thermal conductivity (κ), power factor and figure of merit (ZT). On the whole, these properties pose the possible applications of this material towards solid state device and thermoelectric sphere.
The growth mechanisms of TiO2 film onto PET surfaces by atomic layer deposition
Authors: Riyanto Edy , Dedi  , Fudholi Ahmad , Ying Guo , Jing Zhang , Jianjun Shi , Gaoshan Huang , Yongfeng Mei 
Published: September 2023

Abstract
Atomic layer deposition (ALD) was used to coat a polyethylene terephthalate (PET) polymer substrate with TiO2 film. The TiO2 was grown onto the surface with better film coverage by using thicker ALD deposition. Further evaluation on the coated substrates indicated that the reactive sites of –C=O that existed on PET surface played a significant contribution to facilitating the initial ALD growth of the TiO2 thin film. The chemical composition of the coated substrates was characterised using energy dispersive X-ray spectroscopy, which showed that increasing the TiO2 film thickness increased the Ti element content. Two growth mechanisms, namely, diffusion growth and direct coordination through the precursor coordination with surface reactive sites of –C=O with product release occurred simultaneously in the initial growth of TiO2 coating onto PET polymer by ALD. The surface alteration of the coated ALD was characterised by Fourier transform infrared spectroscopy, which showed that the hydroxyl –OH groups emerged in the TiO2 ALD film.
Model based aircraft design and optimization: a case study with cessna 172N aircraft
Authors: Özdemir Mustafa , Kurtuluş D. Funda 
Published: September 2023

Abstract
This study aims to create an interdisciplinary, multi-level design approach for fixed wing aircrafts. A case study is performed using Cessna 172N aircraft characteristics that is based on a mathematical model having six degrees of freedom (DOF). A Model Based Aircraft Design Software (MAD) is developed using a mathematical dynamic model in Python environment for use in the optimization phase of the Cessna 172N aircraft. The MAD environment is composed of analysis tools that communicate with each other by an automated process chain system. The model includes aerodynamics, engine, mass, control, atmosphere, and landing gear submodules. In addition, the model has trim and 6 DOF simulation analysis capabilities which provide a diversity of analyses that can be considered in early design phases. In order to get trimming and simulation capability, MAD software does not need any precalculated aerodynamic database. The force and moment calculations are performed instantly via DATCOM and AVL solvers for each iteration of simulation or trim. Thanks to this method, alternative aircraft geometries can be compared at the first phase of the design and optimization processes without creating an overall database. All methodologies of model submodules, performance, stability and control calculations, design, and optimization applications are implemented in the MAD environment.
Role of entropy in fault diagnosis of mechanical equipment: a review
Authors: Wang Zihan , Sun Yongjian 
Published: September 2023

Abstract
Mechanical equipment is widely used in daily life and production manufacturing, and it is an indispensable part of modern society. Fault diagnosis of mechanical equipment can effectively diminish catastrophic failures and significant economic losses. How to evaluate their status is the key problem of safe operation. The monitoring data of mechanical equipment obtained by sensors can be used to analyze potential problems and fault information. The vibration signal is the most easily obtained and commonly used monitoring data of mechanical equipment. But the vibration signal is unstable and usually shows nonlinear characteristics in actual measurement, which makes it difficult to extract fault features. Entropy can quantify the complexity of time series and detect the dynamic change of nonlinear behavior. Relying on the performance of entropy, it can be used as an effective tool for dynamic characteristics and applied to the fault diagnosis of mechanical equipment. The purpose of this paper is to summarize the related research of mechanical equipment fault diagnosis based on entropy methods in recent five years. Different entropy methods are classified, and specific application methods are introduced. On this basis, these entropy methods are deeply discussed. The gaps filled by different entropy methods in mechanical equipment fault diagnosis are discussed. The problems faced by entropy methods in the application of mechanical equipment fault diagnosis are also discussed. Theoretical and engineering guidance of mechanical fault diagnosis research is provided, which is of great significance.
Mechanical characterization of FDM printed bio-inspired double arrow head structures
Authors: Sanjay A , Joshua R Nekin , Aravind Raj S 
Published: September 2023

Abstract
Biomimetic structures draw their inspiration from nature. Biomimetic structures aim to improve strength, flexibility, and energy efficiency. Safety equipment, aircraft, automotive, and medical equipment incorporate biomimetic structures. In recent days, biomimetic structures were modified by researchers to enhance their mechanical properties. In this study, novel double arrowhead structures were manufactured using material extrusion technology, and the quasi-static compression tests were carried out in the Universal Testing Machine. Finally, the results demonstrated that the highest compressive strength is 13.29 MPa recorded on a modified novel solid square double arrowhead structure. Once more, the solid square double arrowhead structure has more specific strength than every other structure. A greater specific strength indicates that a structure is capable of withstanding greater forces while minimising its weight. In order to provide direction for the practical applications of lightweight materials, this research compares the truss double arrowhead structures with the solid double arrow head structures.
Micro-heater embedded ISFET pH sensor with high-k gate dielectrics for enhanced sensitivity
Authors: Hossain Salvir , Rahman Md Tawabur 
Published: September 2023

Abstract
The measurement of pH is an important routine practice in many chemical and biomedical applications. This work reports the design of a pH sensor based on the Ion Sensitive Field Effect Transistor (ISFET). The COMSOL Multiphysics® platform has been used to model and simulate the pH sensor in three dimensions (3D) while combining heat transport, electrostatic, and semiconductor modules. The binding of ions in gate dielectrics results in induced charge carriers in the conducting channel of 3D ISFET, which is controlled by the applied gate voltage for determining ion concentration. Here, the pH of water as the bulk electrolyte is measured by attaining the required gate voltage to achieve a certain drain current in 3D ISFET. The pH sensitivity of 3D ISFET with different high-k gate dielectrics such as Ta2O5, Al2O3, HfO2, ZrO2, and SiO2 is measured and compared. The 3D ISFET with Ta2O5 exhibited excellent sensitivity of 59.0 mV pH−1 with a wide linear detection range of pH from 1 to 13 at room temperature compared to other high-k gate dielectrics. Furthermore, the sensitivity was further enhanced to 66.0 mV pH−1 at 60 °C due to the incorporation of a micro-heater into the ISFET. The excellent sensitivity and wide linear detection range can be attributed to the high concentration of surface sites in the Ta2O5 sensing film and improved disassociation constants in the presence of the gate dielectric in contact with the electrolyte. Finally, this sensor demonstrates its potential for real applications.
Identifying Mediators of Intervention Effects Within a Randomized Controlled Trial to Motivate Cancer Genetic Risk Assessment Among Breast and Ovarian Cancer Survivors
Authors: An Jinghua , Lu Shou-En , McDougall Jean , Walters Scott T , Lin Yong , Heidt Emily , Stroup Antoinette , Paddock Lisa , Grumet Sherry , Toppmeyer Deborah , Kinney Anita Y 
Published: September 2023

Abstract

Background
A theory-guided Tailored Counseling and Navigation (TCN) intervention successfully increased cancer genetic risk assessment (CGRA) uptake among cancer survivors at increased risk of hereditary breast and ovarian cancer (HBOC). Understanding the pathways by which interventions motivate behavior change is important for identifying the intervention’s active components.

Purpose
We examined whether the TCN intervention exerted effects on CGRA uptake through hypothesized theoretical mediators.

Methods
Cancer survivors at elevated risk for HBOC were recruited from three statewide cancer registries and were randomly assigned to three arms: TCN (n = 212), Targeted Print (TP, n = 216), and Usual Care (UC, n = 213). Theoretical mediators from the Extended Parallel Process Model, Health Action Planning Approach, and Ottawa Decision Support Framework were assessed at baseline and 1-month follow-up; CGRA uptake was assessed at 6 months. Generalized structural equation modeling was used for mediation analysis.

Results
The TCN effects were most strongly mediated by behavioral intention alone (β = 0.49 and 0.31) and by serial mediation through self-efficacy and intention (β = 0.041 and 0.10) when compared with UC and TP, respectively. In addition, compared with UC, the TCN also increased CGRA through increased perceived susceptibility, knowledge of HBOC, and response efficacy.

Conclusions
Risk communication and behavioral change interventions for hereditary cancer should stress a person’s increased genetic risk and the potential benefits of genetic counseling and testing, as well as bolster efficacy beliefs by helping remove barriers to CGRA. System-level and policy interventions are needed to further expand access.
Reimagining the Past to Construct the Future: Nostalgia and Netflix’s She-Ra
Authors: Austin Sara 
Published: September 2023

Abstract
Netflix’s She-Ra (2018) is an example of how nostalgia-based children’s culture uses speculative fiction to reimagine the past while commenting on the present. The new She-Ra papers over shortcomings in the original show, rewriting adults’ memories of the character. She-Ra, and shows like it, allow adults to experience nostalgia for childhood media and toys by rewriting potentially unpleasant aspects of these thirty-year-old narratives. Though She-Ra uses characters and imagery familiar to parents, the show changes fundamental elements of the original to reflect contemporary social justice concerns, using its science-fiction elements to access political commentary including environmental degradation and coalition building. I will read the television show alongside recently released merchandise which depicts both the new and the 1985 versions of the character. Accessing the new and original versions of the character allows parents to both connect to contemporary children’s programming and reimagine their own childhoods through a contemporary social justice lens. As major producers of children’s culture such as Disney and Netflix embrace the nostalgia trend, scholars should pay careful attention to how these remakes as well as their marketing campaigns treat the source material. Even if the updated films and television shows are more self-aware, nostalgia-based marketing may allow adults to uncritically embrace and endorse the original content of works created in the 1980s that treat issues of race, gender, and sexuality in ways that are inconsistent with current cultural norms. She-Ra and the Princesses of Power argues against this embrace of nostalgic forms, even while using nostalgia to draw in a millennial audience.
Breathlessness limiting exertion in very old adults: findings from the Newcastle 85+ study
Authors: Johnson Miriam J , Pitel Lukas , Currow David C , Forbes Cynthia , Soyiri Ireneous , Robinson Louise 
Published: September 2023

Abstract

Introduction
Long-term breathlessness is more common with age. However, in the oldest old (&gt;85 years), little is known about the prevalence, or impact of breathlessness. We estimated breathlessness limiting exertion prevalence and explored (i) associated characteristics; and (ii) whether breathlessness limiting exertion explains clinical and social/functional outcomes.

Methods
Health and socio-demographic characteristics were extracted from the Newcastle 85+ Study cohort. Phase 1 (baseline) and follow-up data (18 months, Phase 2; 36 months, Phase 3; 60 months, Phase 4 after baseline) were examined using descriptive statistics and cross-sectional regression models.

Results
Eight hundred seventeen participants provided baseline breathlessness data (38.2% men; mean 84.5 years; SD 0.4). The proportions with any limitation of exertion, or severe limitation by breathlessness were 23% (95% confidence intervals (CIs) 20–25%) and 9% (95%CIs 7–11%) at baseline; 20% (16–25%) and 5% (3–8%) at Phase 4. Having more co-morbidities (odds ratio (OR) 1.34, 1.18–1.54; P &lt; 0.001), or self-reported respiratory (OR 1.88, 1.25–2.82; P = 0.003) or cardiovascular disease (OR 2.38, 1.58–3.58; P &lt; 0.001) were associated with breathlessness limiting exertion. Breathlessness severely limiting exertion was associated with poorer self-rated health (OR 0.50, 029–0.86; P = 0.012), depression (beta-coefficient 0.11, P = 0.001), increased primary care contacts (beta-co-efficient 0.13, P = 0.001) and number of nights in hospital (OR 1.81; 1.02–3.20; P = 0.042).

Conclusions
Breathlessness limiting exertion appears to become less prevalent over time due to death or withdrawal of participants with cardio-respiratory illness. Breathlessness severely limiting exertion had a wide range of service utilisation and wellbeing impacts.
Predictors of persistent opioid use in non-cancer older adults: a retrospective cohort study
Authors: Beyene Kebede , Fahmy Hoda , Chan Amy Hai Yan , Tomlin Andrew , Cheung Gary 
Published: September 2023

Abstract

Background
Long-term opioid use and associated adverse outcomes have increased dramatically in recent years. Limited research is available on long-term opioid use in older adults.

Objective
We aimed to determine the incidence and predictors of long-term or persistent opioid use (POU) amongst opioid-naïve older adults without a cancer diagnosis.

Methods
This was a retrospective cohort study using five national administrative healthcare databases in New Zealand. We included all opioid-naïve older adults (≥65 years) who were initiated on opioid therapy between January 2013 and June 2018. The outcome of interest was POU, defined as having continuously filled ≥1 opioid prescription within 91–180 days after the index opioid prescription. Multivariable logistic regression was used to examine the predictors of POU.

Results
The final sample included 268,857 opioid-naïve older adults; of these, 5,849(2.2%) developed POU. Several predictors of POU were identified. The use of fentanyl (adjusted odds ratio (AOR) = 3.61; 95% confidence interval (CI) 2.63–4.95), slow-release opioids (AOR = 3.02; 95%CI 2.78–3.29), strong opioids (AOR = 2.03; 95%CI 1.55–2.65), Charlson Comorbidity Score ≥ 3 (AOR = 2.09; 95% CI 1.78–2.46), history of substance abuse (AOR = 1.52; 95%CI 1.35–1.72), living in most socioeconomically deprived areas (AOR = 1.40; 95%CI 1.27–1.54), and anti-epileptics (AOR = 2.07; 95%CI 1.89–2.26), non-opioid analgesics (AOR = 2.05; 95%CI 1.89–2.21), antipsychotics (AOR = 1.96; 95%CI 1.78–2.17) or antidepressants (AOR = 1.50; 95%CI 1.41–1.59) medication use were the strongest predictors of POU.

Conclusion
A significant proportion of patients developed POU, and several factors were associated with POU. The findings will enable healthcare providers and policymakers to target early interventions to prevent POU and related adverse events.