bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blood Draw Training in Okapi (
Okapia johnstoni
)
Authors: Newnham Zoe , Keywood Lisa , Reynard Joanna , Constable-Dakeyne Georgina 
Published: October 2024

Abstract
Sedating any species in a zoological setting for veterinary procedures, including blood draws can have negative implications for the individual animal, both physiological and psychological both during and after the procedure. In addition, these can take a lot of staff time and resources and can impact the long-term relationship between the individual and keepers. Training individuals to take part voluntarily in their own health care can help to reduce these negative implications; helping to reduce stress, improve welfare, and give individuals choice and control while developing the future management of the species. This case study describes the training of four okapi individuals, a notoriously flighty species, for voluntary blood draws and how training plans should always be adaptable for individuals to encourage successful progression and development.

Information
© The Authors 2024
Recovering of Olive Groves Infected by
Xylella fastidiosa
subsp.
pauca
in Apulia (Italy) Through a Sustainable Management Strategy
Authors: Scortichini Marco 
Published: October 2024

Abstract

Xylella fastidiosa
subsp.
pauca
, listed as a quarantine bacterium in the European Union, has spread in Salento (Apulia, Southern Italy) landscape causing severe damage to the olive cultivation.
X. fastidiosa
is the causal agent of the “olive quick decline syndrome” (OQDS). Through a series of multidisciplinary studies, it has been possible to assess and set up an effective management strategy for maintaining the traditional olive germplasm of Salento. For this aim, a systemic biocomplex containing zinc (4%), copper (2%) and citric acid is sprayed to the tree canopy, once per month, from spring to early autumn. The strategy also includes sustainable vector control through agronomical techniques as well as the regular tree pruning and soil fertilization. Quantitative real-time polymerase chain reaction (PCR) assessments showed a significant reduction of
X. fastidiosa
subsp.
pauca
concentration in the xylem tissue of the leaves upon the treatments, thus allowing the olive trees to normally yield. Both
1
H-NMR metabolomic and mass-spectrometry lipidomic analyses of leaf extracts revealed the occurrence of biomarkers linked to the disease or tree restoration. After the spray treatment, a rapid re-programming in the metabolic tree activity has been observed. Multi-scale satellite imagery monitoring confirmed the robustness of the strategy for several years in both experimental and productive olive groves. Currently, the strategy is applied in many olive groves of Salento. Some aggressive fungal species belonging to the
Neofusicoccum
genus have been found to be associated with olive trees that show symptoms very similar to OQDS and that are also co-infected by
X. fastidiosa
subsp
. pauca
.

Information
© The Author 2024
Semi-quantum secret sharing protocol with specific bits based on third party
Authors: Ma Zhongliang , Li Jing , Wang Xianmin , Liu Feng 
Published: October 2024

Abstract
The fundamental concept of secret sharing involves dividing a secret into multiple parts and distributing them among several participants, who collectively safeguard the secret. When it comes to restoring the secret, cooperation among specific participants is necessary to reconstruct the original secret. Quantum secret sharing (QSS) employs quantum methods to address some limitations of classical secret sharing. Semi-QSS, an advancement of quantum methods, requires fewer quantum resources. Previous semi-quantum protocols demanded at least one participant with full quantum capabilities and randomly generated secret information. This paper introduces a protocol allowing three participants lacking complete quantum capabilities to share secret information of specific bits with the assistance of a third party possessing complete quantum capabilities. Unlike previous approaches, this protocol does not require participants to possess full quantum capabilities and shares secret information of specific bits. These characteristics make the protocol more practical and flexible for real-world applications.
Side-channel free quantum digital signature with source monitoring
Authors: Ma 马 Luo-Jia 洛嘉 , Sun 孙 Ming-Shuo 铭烁 , Zhang 张 Chun-Hui 春辉 , Ding 丁 Hua-Jian 华建 , Zhou 周 Xing-Yu 星宇 , Li 李 Jian 剑 , Wang 王 Qin 琴 
Published: October 2024

Abstract
Quantum digital signature (QDS) can guarantee the information-theoretical security of a signature with the fundamental laws of quantum physics. However, most current QDS protocols do not take source security into account, leading to an overestimation of the signature rate. In this paper, we propose to utilize Hong–Ou–Mandel interference to characterize the upper bound of the source imperfections, and further to quantify information leakage from potential side-channels. Additionally, we combine decoy-state methods and finite-size analysis in analyzing the signature rate. Simulation results demonstrate the performance and feasibility of our approach. Our current work can improve the practical security of QDS systems, thereby promoting their further networked applications.
The Nano-Revolution in Rubber Bushings: Boosting Mechanical Performance
Authors: Muneer Roaa Mohammed , Salman Hassan Dawood , Sadiq Sadiq E. 
Published: October 2024

Abstract
A new method for manufacturing rubber bushings with unique properties has been introduced. The method involves adding alumina nanoparticles at different ratios (0.2, 0.4, 0.6, 1, 1.5, 2, 2.5, and 3) Phr to a rubber recipe consisting of 30% natural rubber, 70% styrene-butadiene rubber. The recipe also contains a constant percentage of carbon black (51 Phr). The materials were mixed for (specific time) to ensure even distribution. Extensive testing has been conducted to ensure the cured rubber meets performance standards, including evaluations of tensile strength, tear propagation, wear resistance, hardness, elasticity, and resistance to fatigue. The bush material excelled in friction resistance and long-term fatigue performance. Adding 0.6 phr Nano-Alumina further enhanced its elasticity, strength, tear resistance, and resilience. At 3 phr of Al2O3 increased Elongation, Hardness, and Fatigue resistance value.
From CAD model to WAM component: implementation of complex geometries using the example of a hydrogen tank.
Authors: Florian Mayrhofer , Oliver Motlik , Dominic Pragerstorfer , Stephan Ucsnik , Christian Schneider-Bröskamp 
Published: October 2024

Abstract
Hydrogen is expected to play a decisive role on the way to climate neutral transportation. This paper explores the innovative use of wire arc Directed Energy Deposition (waDED) in the manufacturing of a double walled, vacuum insulated liquid hydrogen storage tank. The study demonstrates the feasibility of the waDED process for the manufacturing of tank shells and furthermore the integration of heat exchanger channels into tank shells. Key findings include the development of a suitable process chain with integration of multiple features to ease manufacturing. However, challenges such as thermal shrinkage of the shells as well as geometrical deviations of the outer tank heat exchanger are encountered. Future research will focus on improvements in the process reliability with regards to geometric accuracy as well as in-depth testing under liquid hydrogen condition.
Insights on Weld Quality using Unsupervised Learning: Clustering of MIG/MAG Process Signals
Authors: Doe Ocansey Evans , Hinterbichler Hannes , Holom Roxana-Maria , Araz Michael 
Published: October 2024

Abstract
With the increasing complexity of gas metal arc welding (GMAW) processes, data-driven approaches for monitoring and understanding automated GMAW production lines are gaining increased prominence. In this work, welding process data recorded in a production environment is analysed using unsupervised learning methods. We describe a data processing pipeline for feature engineering and apply a state-of-the-art clustering method to gain more insights into the welding production process. The clustering results are compared with the results from the application of dimensional reduction techniques and discussed based on human-interpretable characteristics of the welding process.
Investigation of Wire-Arc Directed Energy Deposition of Copper for use in e-Mobility applications.
Authors: Bharadwaj Kamalesh , Silmbroth Mathias , Mühlgrabner David 
Published: October 2024

Abstract
Additive manufacturing of pure copper is interesting for utilising high electrical and thermal conductivity properties for electrical as well as thermal applications. Wire-arc directed energy deposition is beneficial for producing large parts with less material wastage and is suitable for relatively less abundant resources like copper. The present study explores the feasibility and properties of parts produced using CuSn1 feedstock alloy and this process. Metallographic analysis and micro-hardness tests were conducted. The relative density of 99.99% is achieved, the micro-hardness is 64 HV0 1 and the grain sizes are observed to be growing along the build direction.
Re-manufacturing of Pre-deformed Automotive Sheet Metal Stamping Scrap Without Melting
Authors: Österreicher Johannes A. , Grabner Florian , Kühlein Maria , Cerny Angelika , Schlögl Carina M. 
Published: October 2024

Abstract
The recycling of aluminium sheet metal typically involves shredding and re-melting, processes which are both energy-intensive and challenged by the presence of metallic contaminants. To mitigate these issues, this study explores an alternative approach: the re-manufacturing of deep-drawn parts directly from scrap aluminium sheets, thus bypassing the melting step. We used 2 mm thick Al-Mg sheet metal in H111 temper to produce simulated stamping scrap (miniaturized bonnets). Blanks were cut from these bonnets and secondary parts in a cross-cup geometry were deep-drawn using two different forming processes: warm-forming at 200 °C and O-temper forming at room temperature. The resulting maximum draw depths were 20-22 mm for warm-forming and 25-30 mm for O-temper forming. While warm-forming resulted in lower draw depths, O-temper forming led to coarse recrystallized grain formation in some regions. Our approach could significantly reduce the energy consumption associated with aluminium recycling.
Enhancement of the electrical conductivity of APPD manufactured copper conductors integrated into aluminium WAAM structures
Authors: Gradinger R , Hohm D 
Published: October 2024

Abstract
Copper conductors - manufactured by atmospheric plasma powder deposition, insulated by alumina layers and integrated into aluminium structures - were analysed with regard to their electrical conductivity. Variations of a novel electrical post-processing were studied in comparison to standard heat treatment. Both of them showed significant improvement of the specific electrical resistivity.
Robot arm grasping based on YOLOv5 in the perspective of automated production
Authors: Wang Liang 
Published: October 2024

Abstract
The rapid development of industrial intelligence has gradually expanded the application of automated production. As a typical automated production equipment, the robotic arm still faces the problems of low grasping efficiency and high control costs when facing highly integrated and miniaturized components. Given this, to improve the grasping level of the robotic arm in complex production environments, this study first constructs a kinematic mathematical model of the robotic arm. Secondly, based on the algorithm that You Only Look Once, improvements are made to its convolution operation and feature extraction modules, ultimately proposing a new type of robotic arm grasping control model. The results showed that the loss test value of the new model was the lowest at 2.75, the average detection error of the captured object was the lowest at 0.003, and the average detection time was the shortest at 1.28 seconds. The highest success rate for grasping six types of industrial parts was 94%, and the lowest average energy consumption was 35.67 joules. Therefore, research models can significantly improve the grasping performance of robotic arms under various complex conditions, thereby achieving efficient manipulation of robotic arms in industrial automation.
Developing ultra-high performance concrete with different strength grade based on mix proportion sensitivity factor analysis
Authors: Wang Anjie , Huang Zhide , Li Yilei , Gu Guangyao , Zhu Li , Jiang Ruishuang 
Published: October 2024

Abstract
Owing to the excellent strength and durability, ultra-high-performance concrete (UHPC) has been used for fabricating large-scale and important infrastructures. However, mix proportion of UHPC is still the core factor influencing its workability, strength, cost and energy resource consumption. Based on this, the amount of cementitious materials, water-binder ratio, and the content of steel fibers were matched to obtain UHPC with required workability and strength according to three-factor five-level orthogonal range analysis considering the interaction of these three parameters. Experimental results show that the water-binder ratio and steel fiber content is the primary factor to guarantee the fluidity/compressive and flexural strength of UHPC, respectively. For developing UHPC with compressive strength grade of 150 MPa and flexural strength higher than 50 MPa, the amount of cementitious materials (including cement, silica fume, cenosphere, and fly ash) and the content of steel fibers should be higher than 1000 kg m−3 and 2.5 vol.%, and the corresponding water-binder ratio is equal to 0.16. When the aim is to fabricate UHPC with compressive strength grade of 120 MPa and flexural strength higher than 40 MPa, the water-binder ratio can be increased but should be lower than 0.20 with the increasing amount of cementitious material, and the volume fraction of steel fibers should be higher than 1.5 vol.%. High steel fiber content and water-binder ratio all easily coarsens the microstructure and pore structure of UHPC, and this phenomenon cannot be compensated by using high amount of cementitious materials. It should be adjusting the matching degree of amount of cementitious materials and water-binder ratio to obtain a slurry with appropriate fluidity and cohesiveness, and then content of steel fibers can be selected to perform without adverse effects.
Enhanced superconducting qubit performance through ammonium fluoride etch
Authors: Kopas Cameron J , Goronzy Dominic P , Pham Thang , Torres Castanedo Carlos G , Cheng Matthew , Cochrane Rory , Nast Patrick , Lachman Ella , Zhelev Nikolay Z , Vallières André , Murthy Akshay A , Oh Jin-su , Zhou Lin , Kramer Matthew J , Cansizoglu Hilal , Bedzyk Michael J , Dravid Vinayak P , Romanenko Alexander , Grassellino Anna , Mutus Josh Y , Hersam Mark C , Yadavalli Kameshwar 
Published: October 2024

Abstract
The performance of superconducting qubits is often limited by dissipation and two-level systems (TLS) losses. The dominant sources of these losses are believed to originate from amorphous materials and defects at interfaces and surfaces, likely as a result of fabrication processes or ambient exposure. Here, we explore a novel wet chemical surface treatment at the Josephson junction-substrate and the substrate-air interfaces by replacing a buffered oxide etch (BOE) cleaning process with one that uses hydrofluoric acid followed by aqueous ammonium fluoride. We show that the ammonium fluoride etch process results in a statistically significant improvement in median

T
1

by

∼
22
%

(p = 0.002), and a reduction in the number of strongly-coupled TLS in the tunable frequency range. Microwave resonator measurements on samples treated with the ammonium fluoride etch after niobium deposition and etching also show

∼
33
%

lower TLS-induced loss tangent compared to the BOE treated samples. As the chemical treatment primarily modifies the Josephson junction-substrate interface and substrate-air interface, we perform targeted chemical and structural characterizations to examine materials differences at these interfaces and identify multiple microscopic changes that could contribute to decreased TLS losses.
Comparison of the performance equation with its generalized version in describing the temperature-dependent survival of insects and mites
Authors: Shi Peijian , Deng Linli , Quinn Brady K 
Published: October 2024

Abstract
The performance of various life processes in arthropods is greatly influenced by temperature. The survival of arthropods is temperature-dependent, which must be accounted for when predicting and simulating outbreaks of pest population under global warming scenarios. However, mathematical models for describing temperature-dependent arthropod survival are still lacking. The 5-parameter performance equation (PE), which was originally proposed to describe the influence of temperature on the jumping distance of the green frog, can generate symmetrical and asymmetrical inverted U-shaped curves, and thus is applicable to modeling a broad variety of thermal performance relationships. However, prior studies have not assessed its validity in describing the temperature-dependent survival of arthropods. In this study, we used 16 data sets of insects and mites to test the validities of this PE and its generalized version with 7 parameters (GPE) in fitting temperature-dependent survival data. The PE and GPE were both found to be valid for use in fitting the observed data. However, the estimated values of the PE’s parameters were more robust than those of the GPE. The goodness of fit of the GPE was better than that of the PE for each data set; however, the GPE tended to overfit the data when observations at threshold temperatures were lacking. Overall, the PE is better than the GPE. The present work further confirmed that the temperature-dependent survival of arthropods is an inverse U-shaped curve and provided a useful tool for quantifying the effect of temperature on the survival of arthropods.
Diagnostic approach to leukemia cutis
: A differential diagnostic step-by-step algorithm
Authors: Jenei Alex , Tzankov Alexandar 
Published: October 2024

Abstract

Objectives
Leukemia cutis is a conflicting term to describe neoplastic hematopoietic infiltrates in the skin. Cutaneous myeloid or lymphoid proliferations often present a serious differential diagnostic challenge for pathologists.

Methods
This review aims to outline the confusion associated with the term leukemia cutis and discuss in detail the foremost common differential diagnoses in daily practice. The review is based on a summary of the relevant literature as well as on the authors’ experience.

Results
It addresses precursor cell myeloid and lymphoid tumors that are strictly considered true leukemia cutis but also more mature neoplasms, including some recently described mature extramedullary myeloid proliferations. Finally, a practical, comprehensive stepwise approach combining traditional immunohistochemical marker panels, novel lineage- or mutational-specific markers, and other ancillary tests is suggested to reach an entity-specific diagnosis.

Conclusion
The proper combination of ancillary techniques can help the pathologist to provide an accurate diagnosis of these challenging skin lesions.
Predicting ‘pain genes’: multi-modal data integration using probabilistic classifiers and interaction networks
Authors: Zhao Na , Bennett David L , Baskozos Georgios , Barry Allison M 
Published: October 2024

Abstract

Motivation
Accurate identification of pain-related genes remains challenging due to the complex nature of pain pathophysiology and the subjective nature of pain reporting in humans. Here, we use machine learning to identify possible ‘pain genes’. Labelling was based on a gold-standard list with validated involvement across pain conditions, and was trained on a selection of -omics, protein–protein interaction network features, and biological function readouts for each gene.

Results
The top-performing model was selected to predict a ‘pain score’ per gene. The top-ranked genes were then validated against pain-related human SNPs. Functional analysis revealed JAK2/STAT3 signal, ErbB, and Rap1 signalling pathways as promising targets for further exploration, while network topological features contribute significantly to the identification of ‘pain’ genes. As such, a network based on top-ranked genes was constructed to reveal previously uncharacterized pain-related genes. Together, these novel insights into pain pathogenesis can indicate promising directions for future experimental research.

Availability and implementation
These analyses can be further explored using the linked open-source database at https://livedataoxford.shinyapps.io/drg-directory/, which is accompanied by a freely accessible code template and user guide for wider adoption across disciplines.
Global proliferation of nonnative plants is a major driver of insect invasions
Authors: Bertelsmeier Cleo , Bonnamour Aymeric , Brockerhoff Eckehard G , Pyšek Petr , Skuhrovec Jiří , Richardson David M , Liebhold Andrew M 
Published: October 2024

Abstract
Invasions by nonnative insect species can massively disrupt ecological processes, often leading to serious economic impacts. Previous work has identified propagule pressure as important driver of the trend of increasing numbers of insect invasions worldwide. In the present article, we propose an alternative hypothesis—that insect invasions are being driven by the proliferation of nonnative plants, which create niches for insect specialists and facilitate their establishment outside their native ranges where their hosts are planted or are invasive. We synthesize mechanisms by which plant invasions facilitate insect invasions, macroecological patterns supporting the tight link between plant and insect invasions, and case studies of plant invasions having facilitated subsequent insect establishment. This body of evidence indicates that plant invasions are a major driver of insect invasions. Consequently, the benefits of limiting the spread of nonnative plants include averting the proliferation of nonnative insects and their spillover onto native plant species.
Challenges and opportunities for sustainable wildlife population recovery
Authors: Liu Jiajia , Braczkowski Alexander , Ma Zhijun , Wang Fang , Gibson Luke 
Published: October 2024

Abstract
Although biodiversity is declining at the global scale, some species populations are recovering in recent decades, mainly because of effective conservations efforts. However, population increases of some species are sustained only briefly, and public concern over human–wildlife conflict following population recovery is also on the rise, jeopardizing the wildlife species’ long-term recovery. Questions related to the extent and sustainability of wildlife population recoveries and their impacts on human society and local ecosystems remain unanswered across many of the areas where they have occurred. These answers are vital if ongoing public support for wildlife conservation and species recovery programs is to continue. In the present article, we outline evidence, benefits, challenges, and unforeseen consequences of wildlife population recoveries globally, and highlight a series of policies and conservation practices to foster long-term wildlife population recovery.