bluuebunny/crossref_metadata_2025_split huggingface dataset:
Catalytic Chain Transfer in Crosslinking Photopolymerizations
Authors: Worrell Brady T. , Bagnall Nicholas R. , Jones Meredith H. , Donovan Brian R. 
Published: January 2024

AbstractPresented here is a detailed account of the development and implementation of macrocyclic cobaloxime complexes as sulfur-free, catalytic chain transfer agents (CTAs) in crosslinking photopolymerizations. Although much of this review is dedicated to understanding the fundamentals of catalytic chain transfer (CCT) in photopolymerizations, its impact on network topology and resultant mechanical properties, future goals of applying this technology to multimaterial 3D printing are also discussed. It is our long-term ambition for catalytic, sulfur-free CTAs to supplant existing consumptive, sulfur-based agents to provide new, unexplored, and not currently possible to fabricate photopolymeric materials with a specific eye towards application in dentistry, additive manufacturing, and responsive materials.1	Introduction2	History of Catalytic Chain Transfer (CCT)3	Understanding Catalyst Purity and Chain Transfer Activity4	Evidencing CCT in a Crosslinking Photopolymerization5	Comparing Cobalt(II)-Catalysts to Other Relevant CTAs6	Performance of Cobalt(II)-Catalysts in Commercial Resins7	Limitations of Approach and Looking Forward
Palladium-Catalyzed Cycloisomerization of Carbamimidothioates
Authors: Kumazawa Hyu , Mizoguchi Kota , Nakada Masahisa , Okura Yoshifumi 
Published: January 2024

AbstractA palladium-catalyzed cycloisomerization of carbamimidothioates with the formation of a quaternary carbon and a sulfide is described. The use of (IPr)Pd(allyl)Cl (CX21), K3PO4, and Me-C(OTBS)=NTBS in refluxing xylenes was optimal, and the methoxycarbonyl group was the most suitable substituent for the nitrogen atom of the carbamimidothioate. Phenyl and alkyl groups can be used as tethers for carbamimidothioates, and alkyl and aryl carbamimidothioates can undergo Pd-catalyzed cycloisomerization in high yields.
MVP-Assisted Temporary Vascular Occlusion during 90Y Radioembolization: A Case Report
Authors: Park John J. , Boas Franz Edward , Pedersoli Federico 
Published: January 2024

AbstractYttrium-90 radioembolization is an effective treatment for liver cancers. However, deposition of radioactive microspheres in nondiseased liver can result in parenchymal injury. Segmental and subsegmental radioembolization may reduce off-target liver damage but may not always be possible due to anatomy. In this case report, we highlight the use of a microvascular plug (MVP) to protect distal nondiseased liver and redirect flow into the proximal tumor-containing liver volume during radioembolization of a gallbladder cancer recurrence. Throughout the report, we describe the technique, advantages, and limitations of using MVP-assisted temporary vascular occlusion during organ protection.
Comparing the impact of different adsorbed layers on the local glass transition of polymer matrices
Authors: Thees Michael F. , Merrill James H. , Huang Xinru , Roth Connie B. 
Published: January 2024

Chain adsorption to nanofiller interfaces creating bound layers has become central to understanding property changes in polymer nanocomposites. We determine the impact different kinds of adsorbed layers can have on the local glass transition temperature Tg of polymer matrices in a model film system using a localized fluorescence method. This work compares the adsorption and desorption of adsorbed layers grown in solution with the solution washing characteristics of adsorbed layers formed in the melt, leveraging knowledge about polymer adsorption in solution to infer the structure of adsorbed layers formed in the melt. In the limit of zero concentration after a long time in solution, we find that both kinds of adsorbed layers reach the same limiting adsorbed amount h∞(c → 0) ≈ 1 nm, appearing to evolve to the same thermodynamic equilibrium state of a near monolayer of surface coverage. We propose that melt annealing leads to a coarsening of polymer segment–surface contacts, increasing the length of trains and shrinking loops and tails, slowing the subsequent kinetics of these adsorbed chains in solution. Considering how the pyrene-labeled chains intermix with the adsorbed layer enables us to discriminate between the impact of tails, loops, and trains as threading of loops takes longer. We find that large fluffy loops, tails, and trains have little to no impact on the local Tg. A large 30 K increase in local Tg is observed for 30-min solvent washed well-annealed films at long intermixing times that we attribute to the threading of small tight loops.
Surveying L2 Shakespeare studies in Canadian secondary schools
Authors: Fogal Gary G. 
Published: January 2024

Abstract
The study of Shakespeare in secondary school literature classes remains a global phenomenon across L2 contexts.
Understanding said spaces is important, as the study of Shakespeare is known to expand learner knowledge of normative conventions
of academic literacy – this, in service of building the cultural and linguistic capital necessary for learners to succeed on their
own terms. However, little is known about how best to research this context so as to assist language learners with their academic
literacy needs. To address this gap, this study employs thought modeling – an analytic tool informed by complex dynamic systems
theory – to investigate the teaching and learning environment of seven secondary school ESL programs in the Canadian province of
Ontario. Mining the educational experiences of 106 participants, this research explores five primary components of the educational
landscape: conditions, timescales, interactions, artifacts, and agents. Thematic analyses and descriptive statistical analyses
were performed on a dataset comprised of surveys and interviews. This study initiates a framework for continuing research into L2
secondary school Shakespeare studies by identifying and describing substantive avenues of research (i.e., control parameters)
informing conditions for best practice and highlights thought modeling as an effective analytic framework for understanding
educational dynamics.
Maintaining continuity in the fruit growing sector in the context of the war in Ukraine
Authors: Udovychenko Kateryna , Grynyk Igor , Budzanivska Irena , Garkava-Gustavsson Larisa , Yareshchenko Oleksandr 
Published: January 2024

Abstract
This study assesses the impact of ongoing Russian full-scale aggression in Ukraine, which started on 24 February 2022, on the fruit growing sector by examining damages, losses, and the broader consequences for the industry. The methodology of the research includes the analysis of open access reports and publications of specialized state and international institutions and expert and analytical reviews. Various aspects observed as the impacts of war actions, including the destruction of orchards, agricultural machinery, and storage facilities, are described. Indirect effects, such as market destabilization, increased production costs, and disruptions in export routes, were also explored. The study delves into the challenges faced by farmers, from shortages in labor to the decrease in the production of certified planting material. Despite these adverse factors, the Ukrainian fruit growing sector exhibits resilience and adaptability. The study also discusses ongoing recovery efforts, state grant programs, and international collaborations that offer prospects for growth, emphasizing the potential for recovery and adaptation amid the ongoing conflict.
Current state and ways to increase the dairy productivity of camels in the south-western region of the Republic of Kazakhstan
Authors: Alibaev Nuradin , Abdullaev Konysbay , Abuov Galymzhan , Yermakhanov Meirambek , Azhibekov Bakytzhan 
Published: January 2024

Abstract

Increasing the dairy productivity of camels is an urgent task for many countries where these animals are of great importance as a source of dairy and meat. The purpose of the study was to evaluate and select heavy milk-producing camels for breeding by genotyping, studying the genealogical structure, and selecting related groups with high productivity. To achieve this goal, the number of camel herds in the south-western region of Kazakhstan was monitored during 2020–2022 to study their external characteristics, live weight dynamics, and milk productivity. As a result, it was found that in female camels for 12 months of lactation, the average daily milk yields of the Arvana breed were 7.4 kg, with milk yield for lactation of 2682.8 kg of milk, and in the Bactrian breed with average daily milk yields of 5.8 kg of milk, milk yield for lactation was 1186.3 kg. It was also revealed that the herds of Arvana camels have 15 breeders, and the herds of Bactrian camels have 14 breeders, which are characterised by a sufficient number of offspring for selection and breeding to improve the productive qualities of animals. In addition, it was found that in the herds of Arvana camels, the descendants of the breeders of “Tekele-lek”, “Kara-lek”, “Zhana-lek”, “Mayakum-lek”, “Yrys-lek” and “Shilikti-lek”, and in the herds of Bactrian camels, “Bal-bura”, “Kulsary-bura”, “Zhas-bura”, “Taushyk-II-bura”, “Sakon-bura”, “Konai-bura”, and “Kulandy-bura” noted high milk productivity. It was found that in the milk of camels of the Arvana breed, the content of nonfat milk solids was 8.3%, the density was 27.66 g/cm
3
, the acidity was 19
0
T, in the milk of the Bactrian breed, these indicators were, respectively: 8.23%, 27.81 g/cm,
3
and 19
0
T. The results obtained are of great practical importance, as they can be applied to create new methods and technologies for managing camel herds that will help increase their dairy productivity.
Two-center resonant photoionization-excitation driven by combined intra- and interatomic electron correlations
Authors: Kim S , Steinhäuser S , Voitkiv A B , Müller C 
Published: January 2024

Abstract
Ionization-excitation of an atom induced by the absorption of a single photon in the presence of a neighboring atom is studied. The latter is, first, resonantly photoexcited and, afterwards, transfers the excitation energy radiationlessly to the other atom, leading to its ionization with simultaneous excitation. The process relies on the combined effects of interatomic and intraatomic electron correlations. Under suitable conditions, it can dominate by several orders of magnitude over direct photoionization-excitation and even over direct photoionization. In addition, we briefly discuss another kind of two-center resonant photoionization with excitation where the ionization and residual excitation in the final state are located at different atomic sites.
Time graph sub-domain adaption adversarial for fault diagnosis
Authors: Sun Kuangchi , Yin Aijun , Lu Shiao , Chen Shuhui , Sun Zhaoyi 
Published: January 2024

Abstract
Graph neural network (GNN)-based fault diagnosis has attracted widespread attention. However, the existing measure metrics of domain distribution discrepancy always is single, the weight of different domains is unknown, and the scale of GNN-based feature extractor is unknown. To address these issues, a time graph sub-domain adaption adversarial (TGSDAA) for fault diagnosis is proposed in this paper. Firstly, a multi-scale time connection layer is proposed to extract the feature of the signal. Specifically, an encode layer is proposed to construct the undirected graph. Next, a multi-receptive field cluster-graph convolution neural network is proposed to extract features of the graph. Finally, a sub-domain alignment with adversarial adaption is proposed to align different domains and achieve fault diagnosis. Two different datasets are used to verify the effectiveness of TGSDAA. The experimental results show that the average diagnosis accuracy of TGSDAA can improve 4% than other methods.
Thickness and surface estimation of thin porous media based on 3D image data
Authors: Frank Florian , Glatt Erik , Linden Sven , Wiegmann Andreas 
Published: January 2024

Abstract
Measuring the thickness of thin porous materials provides valuable insights into their structure, properties, and performance, including key properties such as porosity and permeability, and is highly beneficial for a range of industrial applications, particularly for ensuring effective quality control processes. A novel approach for estimating the thickness of porous media and their surfaces is proposed based on voxel sets of 3D images, such as 3D scans and segmented scan data. Initially, the solid volume fraction (SVF) is computed for each voxel layer perpendicular to the through direction. Then, fitting functions consisting of piecewise linear segments are chosen to ensure an accurate representation of the layer data. Each function is associated with various thickness regions of the medium, including the medium itself and its surface. An optimization problem is then solved to find the best-fitting function based on the squared area between the SVF and the fitting function. The thickness of the medium and its surfaces is determined based on the identified optimal fit. This robust, reliable, and fast approach aims to provide not only a non-intrusive method for thickness estimation of porous media represented by voxel sets but also a precise alternative to existing methodologies.
Analysis of the relationship between the transferred charge signal and the particle collision in pneumatic transport based on CFD-DEM
Authors: Jia Lin , Chi Lei , Su Xujun , Yu Guibo 
Published: January 2024

Abstract
The measurement of gas–solid two-phase flow based on the transferred charge method takes advantage of the charge transferred phenomenon generated during the contact between particles and electrodes, which is of great significance to the measurement of gas–solid flow parameters. However, the charge transfer mechanism is very complex, so far there is no mature theoretical model to explain it completely. By using the computational fluid dynamics-discrete element model (CFD-DEM) coupling simulation method, the particle collision model is introduced into the process of flow field simulation. In the CFD-DEM coupling simulation, the modified gas–solid rolling force model and the particle tangential stiffness model are introduced in this paper, and the relationship between the particle-electrode collision and the superficial gas velocity vg
, the particle mass flow rate Ms
is simulated. In the gas–solid two-phase flow experiment, the accuracy of the simulation model is verified by the experimental data of pressure drop signals. The distribution factor Ti
of the transferred charge signal for the array electrostatic sensor is proposed. When Ms
is fixed, the transferred charge signal of the particles increases exponentially with vg
. When vg
is fixed, the transferred charge signal of the particle increases in proportion to Ms
. With the increase of vg
. or Ms
, the Ti
of No. 9 electrode at the bottom of the pipe is the largest. Ti
can help to characterize the flow parameters of pneumatic conveying.
Probabilities of true and false decisions in conformity assessment of a finite sample of items
Authors: Pennecchi F , Kuselman I 
Published: January 2024

Abstract
Probability of conforming items of a finite sample of items is evaluated when conformity assessment (CA) of each item is based on comparison of measured item property values with their acceptance and/or tolerance limits. Two models of probabilities of false decisions on conformity of the whole sample are developed. The first model considers a specific sample of items that already underwent a CA process. A Poisson binomial distribution is applied to calculate the number of the sample items having good (conforming) true property values. The second model, applying a multinomial distribution, treats a generic sample of items potentially drawn from a common population. This model allows evaluating probabilities of false decisions on conformity of the sample items (false positives and negatives), as well as probabilities of correct decisions (true positives and negatives). Applicability of both the models is demonstrated using data of simulated and experimental case studies. These methods extend the existing framework for evaluation of probabilities of true and false decisions in the CA of individual items to the whole sample. The proposed approach provides quality indexes for such a sample, that can be applied in quality inspection and CA of products and objects in industry and trade, environmental monitoring, and other fields. In particular, this approach may be helpful for solving the inspection problem of a production lot, when the minimal number of non-conforming items in a sample for rejecting the whole lot is to be determined.
Review on sensors for electric fields near power transmission systems
Authors: Hortschitz W , Kainz A , Beigelbeck R , Schmid G , Keplinger F 
Published: January 2024

Abstract
Due to the necessary transition to renewable energy, the transport of electricity over long distances will become increasingly important, since the sites of sustainable electricity generation, such as wind or solar power parks, and the place of consumption can be very far apart. Currently, electricity is mainly transported via overhead AC lines. However, studies have shown that for long distances, transport via DC offers decisive advantages. To make optimal use of the existing route infrastructure, simultaneous AC and DC, or hybrid transmission, should be employed. The resulting electric field strengths must not exceed legally prescribed thresholds to avoid potentially harmful effects on humans and the environment. However, accurate quantification of the resulting electric fields is a major challenge in this context, as they can be easily distorted (e.g. by the measurement equipment itself). Nonetheless knowledge of the undisturbed field strengths from DC up to several multiples of the fundamental frequency of the power-grid (up to 1 kHz) is required to ensure compliance with the thresholds. Both AC and DC electric fields can result in the generation of corona ions in the vicinity of the line. In the case of pure AC fields, the corona ions generated typically recombine in the immediate vicinity of the line and, therefore, have no influence on the field measurement further away. Unfortunately, this assumption does not hold for DC fields and hybrid fields, where corona ions can be transported far away from the line (e.g. by wind), and potentially interact with the measurement equipment yielding incorrect measurement results. This review will provide a comprehensive overview of the current state-of-the-art technologies and methods which have been developed to address the problems of measuring the electric field near hybrid power lines.
A method combining laser and vision detection for on-line measurement of small modules gears
Authors: Yu Bo , Li Zhenggao , Sun Yanqiang , Shi Zhaoyao 
Published: January 2024

Abstract
Intelligent production of small modulus powder metallurgy gearing requires rapid and accurate measurement to ensure product quality. Currently, the contact measurement method exemplified by gear measuring centers lack efficiency and require gear mounting reference, which prevent them from meeting the requirements for on-line inspection of small modulus gears. Therefore, an optical method of gears was intensively researched. It combined the advantages of laser and vision inspection, which meet the requirements for accuracy and efficiency in on-line inspection. Based on the measurement principle of the line laser sensor and vision camera, a model of the measurement system was established; a standard block was designed to calibrate the system. The surface data of tooth flank were acquired by laser scanning and evaluated to analysis the accuracy. The result of method was validated by comparison with the gear measurement center. Both are of good agreement. Sufficient experiments verify the feasibility of proposed method for on-line inspection.
Backpropagation in hyperbolic chaos via adjoint shadowing
Authors: Ni Angxiu 
Published: January 2024

Abstract
To generalise the backpropagation method to both discrete-time and continuous-time hyperbolic chaos, we introduce the adjoint shadowing operator

S

acting on covector fields. We show that

S

can be equivalently defined as:

S

is the adjoint of the linear shadowing operator S;

S

is given by a ‘split then propagate’ expansion formula;

S

(
ω
)

is the only bounded inhomogeneous adjoint solution of ω.

By (a),

S

adjointly expresses the shadowing contribution, a significant part of the linear response, where the linear response is the derivative of the long-time statistics with respect to system parameters. By (b),

S

also expresses the other part of the linear response, the unstable contribution. By (c),

S

can be efficiently computed by the nonintrusive shadowing algorithm in Ni and Talnikar (2019 J. Comput. Phys.
395 690–709), which is similar to the conventional backpropagation algorithm. For continuous-time cases, we additionally show that the linear response admits a well-defined decomposition into shadowing and unstable contributions.
Advanced momentum sampling and Maslov phases for a precise semiclassical model of strong-field ionization
Authors: Carlsen Mads Brøndum , Hansen Emil , Madsen Lars Bojer , Maxwell Andrew Stephen 
Published: January 2024

Abstract
Recollision processes are fundamental to strong-field physics and attoscience, thus models connecting recolliding trajectories to quantum amplitudes are a crucial part in furthering understanding of these processes. We report developments in the semiclassical path-integral-based Coulomb quantum-orbit strong-field approximation model for strong-field ionization by including an additional phase known as Maslov’s phase and implementing a new solution strategy via Monte-Carlo-style sampling of the initial momenta. In doing so, we obtain exceptional agreement with solutions to the time-dependent Schrödinger equation for hydrogen, helium, and argon. We provide an in-depth analysis of the resulting photoelectron momentum distributions for these targets, facilitated by the quantum-orbits arising from the solutions to the saddle-point equations. The analysis yields a new class of rescattered trajectories that includes the well-known laser-driven long and short trajectories, along with novel Coulomb-driven rescattered trajectories. By virtue of the precision of the model, it opens the door to detailed investigations of a plethora of strong-field phenomena such as photoelectron holography, laser-induced electron diffraction and high-order above threshold ionization.
Alternate attractor chimeralike states on rings of chaotic Lorenz-type oscillators
Authors: Zhang Hao , Chen Zhili , Liu Fei , Lei Zhao , Zheng Zhigang , Qian Yu 
Published: January 2024

Abstract
An interesting alternate attractor chimeralike state can self-organize to emerge on rings of chaotic Lorenz-type oscillators. The local dynamics of any two neighboring oscillators can spontaneously change from the chaotic butterfly-like attractors to the two symmetric and converse ones, which forms alternate attractors on the ring. This is distinctly different from the traditional chimera states with unique local attractor. An effective driven-oscillator approach is proposed to reveal the mechanism in forming this new oscillation mode and predict the critical coupling strengths for the emergence of the new oscillation mode. The existence of a pair of converse focus solutions with respect to the external drive is found to be the key factor responsible for the alternate attractor chimeralike state. The linear feedback control scheme is introduced to control the suppression and reproduction of alternate attractor chimeralike state. These findings may shed light on a new perspective of the studies and applications of chimera dynamics in complex systems.