bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diffuse idiopathic skeletal hyperostosis in an 83-year-old female
body donor with osteoporosis – protection or risk for the occurrence of
insufficiency fractures of the spine?
Authors: Schröder Guido , Götz Andreas , Kruse Josephine , Hiepe Laura , Büttner Andreas , Andresen Julian Ramin , Andresen Reimer , Schober Hans-Christof 
Published: November 2023

Zusammenfassung
Einleitung Die vorliegende Studie hatte das Ziel, Erkenntnisse über
Veränderungen in der Knochendichte und der kortikalen Dicke bei Patienten mit
diffuser idiopathischer skelettaler Hyperostose (DISH) und Osteoporose zu
gewinnen, um das Verständnis für Risikobereiche für das Auftreten von
Insuffizienzfrakturen am Achsenskelett zu verbessern.
Fallbeschreibung und Ergebnisse Eine weibliche 83-Jährige Körperspenderin
mit DISH und Osteoporose wurde mittels CT/QCT- sowie Mikro-CT-Bildgebung
untersucht. Die kortikale Dicke wurde an den Endplatten und der kortikalen
Schale von 15 Wirbelkörpern an 1800 Messpunkten ermittelt, um Unterschiede
zwischen den Wirbelsäulen Abschnitten festzustellen. Alle erhobenen Daten wurden
mit dem Softwarepaket SPSS, Version 24.0 (Armonk, New York: IBM Corp., USA)
analysiert. Es zeigte sich eine signifikant höhere kortikale Dicke in der
Brustwirbelsäule im Vergleich zur Hals- (p=0,001) und Lendenwirbelsäule
(p<0,001). Die Kortikalisdicke ist an der Hinterkante in den verschiedenen
Abschnitten am geringsten ausgeprägt. Der spongiöse Knochenmineralgehalt steigt
in den von DISH betroffenen Wirbelkörpern an. Obwohl die Halswirbelsäule nicht
von DISH betroffen war, fand sich dort die höchste Knochendichte der gesamten
Wirbelsäule.
Schlussfolgerungen Die signifikant höhere kortikale Dicke und der erhöhte
spongiöse Knochenmineralgehalt in der Brustwirbelsäule bei DISH könnte auf eine
erhöhte Stabilität und ein geringeres Frakturrisiko in diesem Bereich hinweisen.
Die hohe Knochendichte im HWS-Bereich scheint auch bei vorliegender Osteoporose
am Achsenskelett einen kritischen Frakturschwellenwert nicht zu
unterschreiten.
Behavioural biases in real estate investment: a literature review and future research agenda
Authors: Singh Akshita , Kumar Shailendra , Goel Utkarsh , Johri Amar 
Published: November 2023

AbstractPsychological aspects of human nature cause behavioural biases and can lead to decisions that differ from what is expected based solely on rational analysis. The effects of behavioural biases on financial markets like stocks and mutual funds have been studied previously, but real estate has yet to receive much attention. The existing works in the real estate domain have focused on different biases, but no study has examined the works already done to provide concise documentation of these past works. Thus, this article is an earnest attempt to fill that gap. This paper reviews the articles which were sourced from Scopus and the Web of Science database, published between 1980 and 2022. The PRISMA model led to the inclusion of 86 articles for the review. Analysis revealed that anchoring bias, loss aversion, and herding bias have been studied extensively. On the other hand, biases like gambler’s fallacy, familiarity bias, framing bias, home bias, confirmation bias and mental accounting have been less explored. The paper identifies the substantial gaps in the existing studies, giving avenues for future exploration. The key ones are, firstly only a few biases have been studied extensively and many biases are less explored, particularly using primary data. This provides a vast available space for future work. Secondly, studies in developing countries are fewer, which needs to be addressed. Lastly, studies need to explore the interplay of different biases to create a more robust model that can explain the effect of these biases. The paper gives a conceptual understanding of different biases and what factors affect them. Also, it will help policymakers strategize their business and mitigate the negative effects of biases.
Recognising Yarrie Lingo, the creole language of Yarrabah community in far north-eastern Queensland
Australia
Authors: Yeatman Bernadine , Angelo Denise 
Published: November 2023

Abstract
Yarrie Lingo is the local name for the English-lexified creole language spoken in the Aboriginal community of
Yarrabah in far north-eastern Queensland, Australia. This creole has only recently been gaining recognition but it is the main
language of everyday interactions in Yarrabah. This study describes the recognitional trajectory of Yarrie Lingo and what has
fostered this language awareness. With a focus on the experiences of the local Aboriginal educator, language activist and
researcher, Bernadine Yeatman, we showcase a range of grounded methodologies, including devices like language posters, interviews
and illustrative stories, along with maps, timelines and cartoons developed in conjunction with a linguist, Denise Angelo. This
shines a light onto the practical ‘how to’ of language awareness for under-recognised language communities and the potential
support a linguist can provide. It exemplifies a research approach which engages linguistic knowledge with local language
expertise to co-design materials for community members, educators and service providers.
Animal Welfare for Therapy Dogs in Correctional Settings
Authors: Eaton-Stull Yvonne 
Published: November 2023

Abstract
For some people, visiting a locked facility like a jail or prison causes concern and anxiety. Yet, volunteers and workers who choose to engage in this line of work realize the potential risks and deem them acceptable in relation to the potential benefits. Therapy dogs, however, do not have these same choices. Therefore, it is up to the professionals and handlers to assure that any and all risks and concerns be adequately addressed to make sure the animal’s physical and emotional wellbeing is protected at all times. Various animal welfare challenges specifically related to therapy dogs that can present in jails, prisons, and juvenile facilities, along with strategies to manage and mitigate such risks, will be discussed.

Information
© The Author 2023
Ab initio molecular dynamics study of the local structures and migration behaviors of liquid Sb-based alloys
Authors: Li Zongbo , Li Yaxing , Feng Yun , Feng Yan , Wen Yufeng , Wang Richu , Peng Chaoqun , Cai Zhiyong 
Published: November 2023

Abstract
High-purity Sb is widely applied in the semiconductor industry, infrared detection and non-volatile memory. An in-depth knowledge of the local structure and related properties in liquid Sb-based alloys proves to be highly advantageous in the purification of Sb. In this work, an ab initio molecular dynamics simulation was used to study the local structures, dynamical properties, electronic structures and migration behaviors of liquid X-containing (X = As, Bi, Cu, Fe) Sb-based alloys. Among these solute atoms, the distribution coefficient of As/Bi is much larger than that of Cu/Fe. The results showed that the local structures around As/Bi are looser than those around Cu/Fe. The local structure around As/Bi contains a higher fraction of low-index bond pairs than that around Cu/Fe, and its local topological order of triples is closer to pure Sb melt. The coordination polyhedrons using As/Bi as the centered atom have more relaxed short-range order clusters than those using Cu/Fe as the centered atom. Different local structures and chemical effects may lead to different migration behaviors of solute atoms in the Sb melt.
Autonomous and intelligent optical tweezers for improving the reliability and throughput of single particle analysis
Authors: Teixeira Joana , Moreira Felipe C , Oliveira João , Rocha Vicente , Jorge Pedro A S , Ferreira Tiago , Silva Nuno A 
Published: November 2023

Abstract
Optical tweezers are an interesting tool to enable single cell analysis, especially when coupled with optical sensing and advanced computational methods. Nevertheless, such approaches are still hindered by system operation variability, and reduced amount of data, resulting in performance degradation when addressing new data sets. In this manuscript, we describe the deployment of an automatic and intelligent optical tweezers setup, capable of trapping, manipulating, and analyzing the physical properties of individual microscopic particles in an automatic and autonomous manner, at a rate of 4 particle per min, without user intervention. Reproducibility of particle identification with the help of machine learning algorithms is tested both for manual and automatic operation. The forward scattered signal of the trapped PMMA and PS particles was acquired over two days and used to train and test models based on the random forest classifier. With manual operation the system could initially distinguish between PMMA and PS with 90% accuracy. However, when using test datasets acquired on a different day it suffered a loss of accuracy around 24%. On the other hand, the automatic system could classify four types of particles with 79% accuracy maintaining performance (around 1% variation) even when tested with different datasets. Overall, the automated system shows an increased reproducibility and stability of the acquired signals allowing for the confirmation of the proportionality relationship expected between the particle size and its friction coefficient. These results demonstrate that this approach may support the development of future systems with increased throughput and reliability, for biosciences applications.
A first principle +U correction to the investigation of intrinsic vacancy and zinc vacancy-cluster induced magnetism in w-ZnO
Authors: Ahmed Eliyash , Senthilkumar K 
Published: November 2023

Abstract
Pure ZnO shows the probable origin of the magnetic nature. Microscopic correlation to point defect VO and the cluster VZn is obtained by first-principle calculation and +U interaction energy of the p-d orbital subjected to improve band and DOS. Hydrogen contribution to the magnetic moment (MM) due to the coupling of vacancy and 1 s electron correlates with the experimental outcomes. Intrinsic vacancy modulates Fermi surface electron density, leading to the stoner criterion. A higher-order magnetic moment is associated with the cluster vacancy, and the change in the MM has accounted for the +U adjustment to the relevant orbital impact. Nonlinear relations are due to cluster vacancy complexes VZn-x/Oi-x (x = H, 2H), and the FM and AFM exchange has been analyzed. The material encloses large grains; hence, it is advantageous for VZn to develop near the grain edge, and in O-rich environments, chemisorbed O2 is formed near the grain surface.
Force field study of catechol dimers and catechol-(H2O)n clusters
Authors: Obeid Emil , Murshid Nimer , Arayro Jack , Abu-samha Mahmoud 
Published: November 2023

Abstract
Force field parameters were developed for catechol and used to produce optimized structures of catechol dimers and catechol-(H2O)n clusters. The force field optimized structures for the catechol dimer and catechol-(H2O)n (with n = 1 and 2) clusters are benchmarked against quantum chemistry calculations at the B3LYP and w97XD levels of theory; with the quantum chemistry calculations taking into account basis set superposition error. The force field predicts, in agreement with B3LYP and w97XD reasonable structures and relative binding energies for two dimer structures and six catechol-(H2O)n clusters (with n = 1, 2). The developed forcefield parameters are then used to conduct molecular dynamics (MD) simulations for catechol-(H2O)15 cluster to highlight the effect of increased coordination number on the H-bond network around catechol with potential impact on the reactivity of catechol towards ozone in wet conditions. The result of MD simulations suggests that water molecules form a cage of H-bonds network around the hydroxyl groups of catechol, thereby blocking the active sites on catechol.
Two (w, ω, n) weighted threshold quantum secret sharing schemes on d-level single quantum systems
Authors: Guan Feiting , Guo Jiansheng , Li Lele 
Published: November 2023

Abstract
Quantum secret sharing occupies an important position in quantum cryptography. In this paper, we propose two

(
w
,
ω
,
n
)

weighted threshold quantum secret sharing schemes on d-level single quantum systems that share classical information and quantum states, respectively. The dealer Alice distributes the secret share to each participant using the Chinese Remainder Theorem(CRT) for a polynomial ring, which can realize secret sharing among participants with different weights. In classical information sharing, the dealer can share multiple secrets in one round of the protocol and the participants can verify the correctness of the recovered secrets. In quantum state sharing, the dealer can share multiple single quantum states in one round of protocol. Finally, we demonstrate that our scheme is resistant to common external and internal attacks and compare it with related schemes.
Some connections between galois group and free group
Authors: Zeng Ziyu 
Published: November 2023

Abstract
Free Group and Galois Theory are both new contents of modern mathematics with being widely studied, while there are few studies about the connections between them. We can find that the automorphisms in the definition of Galois Group is like the symbols in free group. The structure of subgroups in free groups is a significant subject which is originated from the Group Theory. Thus, this paper will introduce some basic theorems of Galois Group, free group and give a proof of the set of every subfield of a field is isomorphic to a free Galois Group.
A quantitative analysis on the influence of temperature on head loss along PVC pipe and the choice of pipe diameter
Authors: Wu Yutian 
Published: November 2023

Abstract
PVC pipe is widely used in engineering. For instance, it can be used to transport hot water. However, in the process of transmission, a certain head loss will be produced, and the cost problem will be considered in the choice of pipe diameter [1]. Through the controlling of variable, this paper introduces and deduces the formula used to calculate the influence of temperature on head loss. By listing the results and making a graph after calculation, the influence of temperature parameter change on the head loss of PVC pipe is explored, and a reasonable pipe diameter selection scheme is discussed. The formulas and parameters used in this paper are all from the research of other scholars and experts. The results show that the head loss in PVC pipe decreases gradually and stably with the increase of temperature. In addition, with the increase of pipe diameter, the head loss will be reduced, the power consumption of the pump will be reduced, but the material cost will be increased. In conclusion, the water temperature can be increased in a certain range to reduce the head loss. When the distance of pipe distribution is short, a larger pipe diameter can be selected to reduce the power consumption cost. For longer distances, smaller pipe diameters can be selected to reduce material costs.
Congruences and subdirect decompositions in universal algebra
Authors: Zhao Ranran 
Published: November 2023

Abstract
In this paper, we will focus on the topic of congruences and factorizations in universal algebra. We will first provide an introduction to universal algebra by defining lattices, algebras, congruences and other core structures. Next, we will explore the congruence and factorization properties of an algebra. Then, Birkhoff theorem indicates that every algebra can be embedded into a product of subdirectly irreducible algebras. Based on these fundamental concepts, Heyting algebra will be discussed as a typical example in universal algebra. The one-to-one correspondence between filters and congruences of a Heyting algebra will be proved. Lastly, we will show a specific way to justify the subdirectly irreducibility of a Heyting algebra.
Real model for micro swimmer and the study of the relationship between the swimming speed, pitch angle, and rotation rate for the flagellum
Authors: Ren Zhezheng 
Published: November 2023

Abstract
This study focuses on the fluid mechanics of a microswimmer and explores the relationship between speed, pitch angle, and rotation rate for the flagellar during bacterial swimming. Based on the simulation using MATLAB, it is concluded that when the pitch angle of the flagellar helix is in the range of 0 to 90 degrees, the value of swimming speed increases firstly and decreases. When the angle reaches 46.83 degrees, the speed reaches the maximum point. The radius of the body of the microswimmer is determined by the Buckingham Pi theory. After calculating by using the equations in the related paper and measuring by the real model, we derive that the relationship between swimming speed and the rotation rate for the flagellar filament should be proportional at the low rotation rate so that it can be obtained to optimize the artificial micro swimming device with higher swimming efficiency.
Design of a 5.94 FO4 absolute-value detector based on hybrid logic technique
Authors: Zhang Longyang 
Published: November 2023

Abstract
With the development of neural signal acquisition systems, spike sorting algorithms have become a hot topic in related fields. The delay of the spike detection system largely determines the speed of the overall signal acquisition system. This paper designs a low-delay Absolute-value Detector based on the GDI technique to improve the timeliness of the neural signal acquisition system. The final circuit has only 20 logic gates-56 transistors. According to the logical effort methodology, the final path delay is 5.94 FO4. This research can provide a reference for the design of future portable ultra-low delay neural signal acquisition systems.
Approaches to NMR sensitivity enhancement based on theoretical analysis
Authors: Du Meining 
Published: November 2023

Abstract
Nuclear magnetic resonance (NMR) has been broadly investigated and applied in many industries (e.g., medical treatment, food safety and materials) as a powerful approach to explore the internal structure and composition of substances. However, the need for more sensitivity has been one of the most severe problems hindering the practical application of NMR. This paper suggests various approaches to deal with this defect, from adjusting factors based on the theoretical principle to the progressive hyperpolarization method. Classified by polarization sources, several representative sub-fields of hyperpolarization are further interpreted and analyzed, including Dynamic Nuclear Polarization (DNP), Optical Pumping (OP) and Parahydrogen Induced Polarization (PHIP). Based on the analysis and prospect of the aforementioned feasible methods, the main factors that restrict the sensitivity of NMR will be identified. Moreover, the prospects and new technologies brought by the methods based on different theoretical foundations have been considered to improve these factors and make NMR apply to a broader range of fields. Overall, these results not only indicate the current research status but also shed light on guiding further exploration of methods of enhancing NMR sensitivity and usability.
Research on seismic behavior of prefabricated concrete beam-column joints
Authors: Song Zirui 
Published: November 2023

Abstract
In recent years, with the development of society, the construction method of cast-in-place has been unable to fully adapt to the needs of social development. The construction industry has ushered in new development opportunities, gradually to technology, energy-saving and pollution-free development. Prefabricated buildings have been promoted by reducing construction pollution, saving energy and improving labor efficiency. Different types of joints will directly affect the stability and seismic resistance of the whole structure, and also determine the progress of the prefabricated building. Therefore, the prefabricated reinforced concrete beam and column joints are very necessary to study the seismic performance. In this paper, the seismic performance of assembled concrete frame beam and column joints, assembled concrete beam-buckling column-steel restrained support joints and a new kind of prefabricated pin concrete beam-column joints are summarized and analyzed.
Research on the interaction mechanism of multiple vortices in biological wake flow field
Authors: Zhou Jianhan 
Published: November 2023

Abstract
The vortex-ring interaction of synchronous jets has been paid more attention by predecessors, while the research of asynchronous jets (i.e. there is a time difference between the start of jets) of parallel dual nozzles has been studied less. Therefore, the interaction between vortex rings and the vortex structure evolution of the dual-nozzle asynchronous jets with different time differences (Δt) is studied in this paper. Numerical results obtained can be divided into four intervals: 1. Synchronous jets (Δt = 0); 2. Critical interval (Δt < 0.1t, where t is the jet time), having similar vortex structure evolution modes and dynamic characteristics as the synchronous jet; 3. Strong interaction interval (0.2t ≤ Δt ≤ 0.4t), in which the main vortex ring shows obvious acceleration, and the streamwise vortex structure is found in the wake; 4. weak interaction interval (Δt ≥ 0.6t), in which the interaction between vortex rings is much less strong and the streamwise vortex structure also appears in the wake. In addition, it is found that pressure on the nozzle outlet plane increases and the vortex dissipation in the downstream flow field slows down significantly due to the vortex-ring interaction on the condition of asynchronous jets.
Image deblurring: comparison and analysis
Authors: Yu Zhiyi 
Published: November 2023

Abstract
Technological advancements and the advent of digital devices and media make images an important part of today’s social life. Image blurring is a common challenge that results from multiple factors such as object movement, camera shake, and raindrops, among others. Image deblurring has progressively become an important field of image restoration as directed by research findings. After research for more than five decades, significant research efforts have yielded useful technologies of image deblurring. This article provides an overview of the current knowledge on image deblurring technology by focusing on the classical methods and modern trends in the field. The article reviews the conventional methods and achievements made in past studies using evidence from 34 scholarly articles. The article also examines the application of algorithms in specific deblurring methodologies adopted in recent works. It covers the recent trend of learning-based models used to restore images and their effectiveness. They include Convolutional Neural Networks, Recurrent Neural Networks and Graph Convolutional Networks. Novel deep-learning deblurring techniques are also explored. Based on the findings, issues of concerns, opportunities and direction for future research are provided to advance image deblurring technologies.