bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical cutting with flexible electrode of controlled online deformation
Authors: Liu Lin , Xu Zhengyang , Hao Yuheng , Teng Yunlong 
Published: October 2024

Abstract
Improvements in aero-engine performance have made the structures of the aero-engine components increasingly complex. To better adapt to the processing requirements of narrow twisted channels such as an integral shrouded blisk, this study proposes an innovative method of electrochemical cutting in which a flexible tube electrode is controlled by online deformation during processing. In this study, the processing principle of electrochemical cutting with a flexible electrode for controlled online deformation (FECC) was revealed for the first time. The online deformation process of flexible electrodes and the machining process of profiles were analysed in depth, and the corresponding theoretical models were established. Conventional electrochemical machining (ECM) is a multi-physical field-coupled process involving electric and flow fields. In FECC, classical mechanics are introduced into the tool cathode, which must be loaded at all times during the machining process. Therefore, in this study, before and after the deformation of the flexible electrode, a corresponding simulation study was conducted to understand the influence of the online deformation of the flexible electrode on the flow and electric fields. The feasibility of flexible electrodes for online deformation and the validity of the theoretical model were verified by deformation measurements and in situ observation experiments. Finally, the method was successfully applied to the machining of nickel-based high-temperature alloys, and different specifications of flexible electrodes were used to complete the machining of the corresponding complex profiles, thereby verifying the feasibility and versatility of the method. The method proposed in this study breaks the tradition of using a non-deformable cathode for ECM and adopts a flexible electrode that can be deformed during the machining process as the tool cathode, which improves machining flexibility and provides a valuable reference to promote the ECM of complex profiles.
Bending/force switching control of pneumatic soft actuator based on multi-sensor fusion
Authors: Fang Jiwen , Qin Shuangfa , Gao Renxiang , Li Chong , Lv Mingming 
Published: October 2024

Abstract
The soft actuator has unlimited freedom, and can realize the grasping of irregular or fragile objects. A pneumatic soft actuator is designed in this paper, which consists of a series of symmetrically distributed pneumatic chambers. The soft actuator consists of a top expansion layer composed of 20 chambers and a bottom restraint layer. The Yeoh model and the finite element method (FEM) were employed to analyze the bending of the soft actuator. To improve the tracking performance, a PID strategy of the endocrine system (ES-PID) based on the neuroendocrine thyroid hormone regulation mechanism was constructed to tune the bending deformation. To achieve steady and precise force control, a bending/force switching control algorithm based on multi-sensor fusion is designed to realize high control accuracy. The bending/force switching control strategy mainly consists of two feedback loops for bending control, a force control, and a switching control. In the experimental process, the bending control is the primary control, and the force control is the primary control when the switching condition is satisfied. In order to prevent the occurrence of a false switching action, a switching factor is constructed using the method of successive comparison of neighboring values. Finally, several experiments are carried out to verify the effectiveness and feasibility of the control algorithm.
A novel approach to iris recognition at-a-distance: leveraging BW-CNN framework
Authors: Shirke Swati , Midhunchakkaravarthy Divya , Deshpande Vivek 
Published: October 2024

Abstract
This paper introduces a novel iris recognition framework by integrating the Black Widow Optimization (BWO) algorithm with Convolutional Neural Networks (CNNs), forming the Black Widow-CNN (BW-CNN) framework. The necessity of this work stems from the increasing demand for secure and reliable biometric systems, particularly in iris recognition, which has become a critical tool in sectors such as national security, financial transactions, and contactless access controls. Traditional iris recognition systems face significant limitations under varying environmental conditions and subject distances, often compromising accuracy. The proposed BW-CNN framework is necessary as it addresses these challenges by offering a robust solution capable of precise iris detection even at a distance and in challenging real-world conditions. This approach enhances feature extraction and classification accuracy and streamlines the recognition process. The experimental results, evaluated across multiple datasets, demonstrate the superior performance of the BW-CNN framework over existing methods, showcasing its potential for deployment in high-security and real-time applications.
Mechanical performance of dissimilar Al6082 aluminum and AZ91 magnesium alloy joints produced by friction stir welding
Authors: K Raghu Ram Mohan Reddy , Muthadi Srinivas Reddy , K Venkata Rao , Dumpala Ravikumar , Ratna Sunil B 
Published: October 2024

Abstract
The current research work aims to produce a defect free joint of Al6082 aluminum and AZ91 magnesium alloy sheets by friction stir welding (FSW) at various tool rotational and travel speeds with an objective to obtain the best combination of welding parameters to produce quality joint. The weld joint that was produced at the combination of 1400 rpm tool rotational speed and 30 mm min−1 feed exhibited defect free stir zone. Microstructural studies carried out in the weld joint demonstrated mechanical mixing of base materials from both the alloys in the stir zone. The mixing of Al6082 and AZ91 alloys was clearly appeared in the weld zone. It can be observed that the x-ray diffraction studies clearly demonstrated the development of intermetallics in the weld region. Higher hardness was observed for the joints that can be ascertained to the presence of more mixed regions in the stir zone that contains hard and brittle intermetallics. From the tensile test data, lower strength (175.71 ± 4.24 MPa) was observed for the weld joint compared with Al6082 (242. 6 ± 11.4 MPa) and AZ91 (205.27 ± 6.39 MPa) base materials. Furthermore, the ductility of the weld joint was measured as marginally higher than the AZ91 Mg alloy and lower than the Al6082 alloy. It can be concluded that the defect free weld joints of Al6082-AZ91 alloys can be successfully produced by FSW for structural applications targeted for dry environment.
Graphene pixel based broadband polarization insensitive THz absorber
Authors: Sur Surajit , Bhattacharya Rajarshi 
Published: October 2024

Abstract
Suppressing undesired radiation and eliminating stray radiation in a high-frequency circuit might be challenging. Ultra-high frequency (UHF) electromagnetic wave absorbers are finding new applications in both the military and civilian domains. Obtaining an ultra-wide absorption band in a thin, single-layer Terahertz absorber becomes difficult. Also, achieving perfect absorption bandwidth on transverse electric (TE) and transverse magnetic (TM) mode is very sensitive. This paper presents a polarization-independent graphene-based absorbers with a near unity absorption band of 2.32 THz and 3.78 THz in a lower mid-infrared regime. The structure’s unit cell consists of cross-slot circular patches with Au as a ground separated by SiO2. To improve the absorption band another graphene layer was placed between the top and dielectric material. The absorber is polarization independent under normal incidence because of the deposited graphene structure’s fourfold symmetry. Both TE and TM polarizations were investigated, with wide-band absorption observed up to 60° incident angles in both cases. In terms of the lowest frequency of absorption, the prototype is deemed to be as thin as

∼
0.1

λ

max

for both absorbers. Similarly, the effective homogeneity criteria in the subwavelength region are supported by the unit cell’s period of

∼
0.1

λ

max

.

The proposed absorber-2 shows

10
%

higher FBW than existing work.
Heart rate variability series during physical activity analyzed with multifractal techniques
Authors: Aguilar-Molina Ana María , Zamora-Justo José Alberto , Angulo-Brown Fernando , Muñoz-Diosdado Alejandro 
Published: October 2024

Abstract
Our study uses multifractal techniques to analyze time series of heart rate variability series (RR time series) during rest and physical activity. Subsets of the RR time series data were extracted for each stage. The multifractal spectra of the RR time series data were constructed using the method developed by Chhabra and Jensen. Then, parameters such as width, symmetry, and curvature of the multifractal spectra were calculated. The multifractal spectra obtained at resting stage were broad, skewed to the right, and they had small curvatures around in the maximum. On the contrary, the subsets of the RR time series obtained during physical activity were narrow, skewed to the left, and showed an increased curvature value around the maximum. In addition, these multifractal spectrum parameters shown significant differences in series of subjects who perform physical activity regularly and sedentary. Furthermore, the results obtained from this study were compared with data from previous works involving patients with congestive heart failure and healthy subjects.
Understanding following patterns among high-performance athletes
Authors: Rodríguez Jorge P , Arola-Fernández Lluís 
Published: October 2024

Abstract
Professional sport enhances social interaction among athletes through meetings such as training groups, large-scale competitions and sponsored events. Among these, the Olympic Games represent the largest international competition, having a unique global impact. This event is assumed to promote international cooperation through the values of sport, becoming an opportunity for creating global connections between athletes. Here we want to understand the properties of the following activity, an indicator of the information flows, between highly successful Olympic athletes both at microscopic and macroscopic scales. To do so, we built a database including the Twitter usernames of Olympic medallists in Tokyo 2020, using it for creating the follower-followee network, a directed network representing who followed whom in this social network. From our database of 1052 athletes, we found 7326 connections among 964 athletes. The most popular athletes, those with highest number of followers, were Kevin Durant (basketball, USA), Allyson Felix (athletics, USA), Teddy Riner (judo, France), Alex Morgan (football, USA) and Simone Biles (gymnastics, USA). The macro-scale network structure displayed organized patterns related to microscopic—node—properties such as sex, country and sport, evidencing assortative connectivity patterns. These assortative patterns highlighted the need for a model quantifying the features’ importance in the followees choice, which we introduced through a gravity approach modelling the number of connections between homogeneous groups. Our research remarks the importance of datasets built from public exposure of professional athletes, serving as a proxy to investigate interesting aspects of many complex socio-cultural systems at different scales.
Infrastructure first principles for the Anthropocene
Authors: Chester Mikhail , Allenby Braden 
Published: October 2024

Abstract
There appears to be a growing decoupling between the conditions that infrastructures were designed for and today’s rapidly changing environments. Infrastructures today are largely predicated on the technologies, goals, and governance structures from a century ago. While infrastructures continue to deliver untold value, there is growing evidence that these critical, basic, and lifeline systems appear ill-equipped to confront the volatility, uncertainty, accelerating conditions, and complexity that define them and their changing environments. Innovative and disruptive first principles are needed to guide infrastructures in the Anthropocene. Drawing from emerging infrastructure research and disciplines that appear better able to confront disruption and change, a novel set of first principles are identified: (1) Plan for complex conditions and surprise; (2) Recouple with agility and flexibility; (3) Govern for exploration and instability; (4) Build consensus as control decentralizes; (5) Restructure to engage with porous boundaries; and, (6) Cyberthreat planning is now mission critical. These principles should guide infrastructure planning recognizing the changing nature and increasingly obsolete boundaries that have defined engineered systems in the modern era.
Marking Helicoverpa zea (Lepidoptera: Noctuidae) with fluorophores for use in mark-release-recapture research
Authors: Hagler James R , Casey Miles T , Machtley Scott A , Schutze Inana Xavier , Fabrick Jeffrey A 
Published: October 2024

Abstract
Knowledge of insect dispersal and long-distance migratory flight capacity and patterns represent key factors needed for risk assessment of invasive pest species, insecticide resistance management, and more effective pest control. Having operative tools to both mark and track insect pest movement is therefore critical to achieving such goals. Here, we describe a new procedure for marking Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), one of the most economically important crop pests in the United States. Adult H. zea moths were effectively marked using the liquid fluorophore cartax green, a persistent UV-fluorescent pigment, both directly by topical application and indirectly by briefly submerging pupae in the marking solution prior to adult emergence. Regardless of the application method, the cartax mark was retained on the moths throughout their entire adult lifespan. No mortality differences were observed between cartax green-marked and water-marked (control) moths. Additionally, using rotary flight mills, we found no significant differences in several flight parameters, including total number of flights, flight speeds, flight distances, or flight durations between unmarked and cartax-marked moths. Under laboratory conditions, we did observe the lateral transfer of different colored fluorophores between moths, indicating that undesirable marking could potentially occur. Moreover, we found that not all fluorophores were equally retained on H. zea moths, with cartax green remaining intact on moths longer than did a corresponding magenta fluorophore. The results show that cartax green fluorophore could be a practical marker for H. zea and other holometabolous species targeted for large-scale mark-release-recapture research.
An impossibility theorem for Base Rate Tracking and Equalized Odds
Authors: Stewart Rush , Eva Benjamin , Slank Shanna , Stern Reuben 
Published: October 2024

Abstract
There is a theorem that shows that it is impossible for an algorithm to jointly satisfy the statistical fairness criteria of Calibration and Equalized Odds non-trivially. But what about the recently advocated alternative to Calibration, Base Rate Tracking? Here we show that Base Rate Tracking is strictly weaker than Calibration, and then take up the question of whether it is possible to jointly satisfy Base Rate Tracking and Equalized Odds in non-trivial scenarios. We show that it is not, thereby establishing an even more general impossibility theorem.
Adverse Childhood Experiences (ACEs) in 252 Board-Certified Plastic Surgeons: Prevalences, ACE Clustering, and Effects on Adult Health and Behaviors, Including Self-Defined Depression, Work Addiction, and Burnout
Authors: Constantian Mark B , Zaborek Nick 
Published: October 2024

Abstract

Background
The CDC/Kaiser Adverse Childhood Experiences (ACE) study documented that ACEs predict adult health and self-harming behaviors. ACEs have been documented in physicians and are higher in physicians treated for problematic behavior. Plastic surgeons have never been assayed.

Objectives
Might ACE prevalences in plastic surgeons predict their adult health and/or behavior?

Methods
A total of 252 ABPS-certified plastic surgeons (72% men, 28% women) completed the 10-question CDC/Kaiser ACE survey by deidentified email. Data were collected on adult health and behaviors previously associated with ACEs in the literature.

Results
In total 42% of plastic surgeons had 1 or more ACEs; 9.9% had 4 or more. Emotional abuse was 2 times higher than the control CDC/Kaiser population, although other ACEs were lower. Gender differences existed: female surgeons suffered more sexual abuse (17% vs 8%), physical neglect (7% vs 1%), violence against their mothers (7% vs 2%), and self-defined burnout (32% vs 17%). ACEs occurred in clusters. Total ACEs predicted autoimmune disorders, chronic pain/fatigue, self-defined depression, irritable bowel, antidepressant/anxiolytic use, alcohol abuse, &gt;3 marriages, &gt;10 sexual partners, sex and work addiction, eating disorders, and self-defined burnout (all P &lt; .020). Emotional abuse predicted alcohol abuse. Sexual abuse predicted sex addiction. Emotional neglect predicted autoimmune disease, antidepressant/anxiolytic use, eating disorder, and work addiction. Physical neglect predicted chronic fatigue/chronic pain, depression, and burnout (all P &lt; .001 or less).

Conclusions
Adverse childhood experiences occurred in 42% of our 252-member plastic surgeon cohort and predicted 13 adult illnesses and self-harming behaviors that can impair surgeons’ lives and performances. This may facilitate their recognition and treatment.
Diagnostics of viral infections using high-throughput genome sequencing data
Authors: Ning Haochen , Boyes Ian , Numanagić Ibrahim , Rott Michael , Xing Li , Zhang Xuekui 
Published: October 2024

Abstract
Plant viral infections cause significant economic losses, totalling $350 billion USD in 2021. With no treatment for virus-infected plants, accurate and efficient diagnosis is crucial to preventing and controlling these diseases. High-throughput sequencing (HTS) enables cost-efficient identification of known and unknown viruses. However, existing diagnostic pipelines face challenges. First, many methods depend on subjectively chosen parameter values, undermining their robustness across various data sources. Second, artifacts (e.g. false peaks) in the mapped sequence data can lead to incorrect diagnostic results. While some methods require manual or subjective verification to address these artifacts, others overlook them entirely, affecting the overall method performance and leading to imprecise or labour-intensive outcomes. To address these challenges, we introduce IIMI, a new automated analysis pipeline using machine learning to diagnose infections from 1583 plant viruses with HTS data. It adopts a data-driven approach for parameter selection, reducing subjectivity, and automatically filters out regions affected by artifacts, thus improving accuracy. Testing with in-house and published data shows IIMI’s superiority over existing methods. Besides a prediction model, IIMI also provides resources on plant virus genomes, including annotations of regions prone to artifacts. The method is available as an R package (iimi) on CRAN and will integrate with the web application www.virtool.ca, enhancing accessibility and user convenience.
PhenoMultiOmics: an enzymatic reaction inferred multi-omics network visualization web server
Authors: Shi Yuying , Xu Botao , Wang Zhe , Chen Qitao , Chai Jie , Wang Cheng 
Published: October 2024

Abstract

Motivation
Enzymatic reaction play a pivotal role in regulating cellular processes with a high degree of specificity to biological functions. When enzymatic reactions are disrupted by gene, protein, or metabolite dysfunctions in diseases, it becomes crucial to visualize the resulting perturbed enzymatic reaction-induced multi-omics network. Multi-omics network visualization aids in gaining a comprehensive understanding of the functionality and regulatory mechanisms within biological systems.

Results
In this study, we designed PhenoMultiOmics, an enzymatic reaction-based multi-omics web server designed to explore the scope of the multi-omics network across various cancer types. We first curated the PhenoMultiOmics database, which enables the retrieval of cancer-gene–protein-metabolite relationships based on the enzymatic reactions. We then developed the MultiOmics network visualization module to depict the interplay between genes, proteins, and metabolites in response to specific cancer-related enzymatic reactions. The biomarker discovery module facilitates functional analysis through differential omic feature expression and pathway enrichment analysis. PhenoMultiOmics has been applied to analyze the transcriptomics data of gastric cancer and the metabolomics data of lung cancer, providing mechanistic insights into interrupted enzymatic reactions and the associated multi-omics network.

Availability and implementation
PhenoMultiOmics is freely accessed at https://phenomultiomics.shinyapps.io/cancer/ with a user-friendly and interactive web interface.
Deep learning-based enhancement of fluorescence labeling for accurate cell lineage tracing during embryogenesis
Authors: Li Zelin , Xie Dongying , Ma Yiming , Zhao Cunmin , You Sicheng , Yan Hong , Zhao Zhongying 
Published: October 2024

Abstract

Motivation
Automated cell lineage tracing throughout embryogenesis plays a key role in the study of regulatory control of cell fate differentiation, morphogenesis and organogenesis in the development of animals, including nematode Caenorhabditis elegans. However, automated cell lineage tracing suffers from an exponential increase in errors at late embryo because of the dense distribution of cells, relatively low signal-to-noise ratio (SNR) and imbalanced intensity profiles of fluorescence images, which demands a huge amount of human effort to manually correct the errors. The existing image enhancement methods are not sensitive enough to deal with the challenges posed by the crowdedness and low signal-to-noise ratio. An alternative method is urgently needed to assist the existing detection methods in improving their detection and tracing accuracy, thereby reducing the huge burden for manual curation.

Results
We developed a new method, termed as DELICATE, that dramatically improves the accuracy of automated cell lineage tracing especially during the stage post 350 cells of C. elegans embryo. DELICATE works by increasing the local SNR and improving the evenness of nuclei fluorescence intensity across cells especially in the late embryos. The method both dramatically reduces the segmentation errors by StarryNite and the time required for manually correcting tracing errors up to 550-cell stage, allowing the generation of accurate cell lineage at large-scale with a user-friendly software/interface.

Availability and implementation
All images and data are available at https://doi.org/10.6084/m9.figshare.26778475.v1. The code and user-friendly software are available at https://github.com/plcx/NucApp-develop.