bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of reactive diluent composition on properties and bio-based content of itaconic acid-based additive manufacturing materials
Authors: Papadopoulos Lazaros , Pezzana Lorenzo , Malitowski Natalia , Sangermano Marco , Bikiaris Dimitrios N. , Robert Tobias 
Published: May 2024

AbstractAmong the additive manufacturing techniques, UV-curing processes are of special interest, as they allow for the fabrication of thermosetting materials with high resolutions and optical clarity. Traditionally, these processes require the use of formulations, consisting of polyester or polyurethane oligomers, combined with photoinitiators and reactive diluents. The latter are usually vinyl monomers such as acrylates or acrylamides, used to reduce the viscosity of the formulation and render it processable by additive manufacturing machines. In this work, we investigate whether a combination of diluents can be used to tune the thermomechanical properties of the printed materials, and if it can be exploited to increase their overall bio-based content without compromising their performance. To do so, a series of itaconic acid-based polyesters with different chemical structures (aliphatic–aromatic) were synthesized and formulated with reactive diluents acryloyl morpholine (ACMO) and isobornyl acrylate (IBOA). The physicochemical properties of the prepared formulations, together with their reactivity towards UV-light were assessed via photo differential scanning calorimetry (photo-DSC) and photo-rheology measurements. The same formulations were then used to fabricate test specimen via digital light processing (DLP) 3D printing, which were characterized on their thermomechanical properties by means of dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) measurements. The glass transition temperature of the printed samples reached a maximum of 98 °C, while the diluent ratio could be used to manipulate the Tg in a linear trend. All materials of this study exhibited Td,5% above 250 °C, suggesting good thermal stability. These results show that materials with a very high bio-based content (up to 85%) and very promising thermomechanical properties could be obtained by employing a diluent mixture during the formulation phase.
Influence of Mesh Design and Surface Treatments on Particle Transport and Fate in a Vibration-Enhanced Flooded Bed Dust Scrubber
Authors: Uluer Mahmud Esad , Noble Aaron 
Published: May 2024

AbstractRespirable coal mine dust (RCMD) is one of the biggest occupational health hazards for underground coal miners. Dusty mining environments can cause long-term health problems, including pneumoconiosis and progressive massive fibrosis. The Mine Safety and Health Administration (MSHA) has recently revised regulations promoting enhanced dust mitigation technologies, which have sparked renewed interest in the development of dust mitigation technologies. The flooded bed dust scrubber (FBS) is one of the most widely used technologies; however, it is limited by technical challenges, the most notable being the potential to clog. Recent studies have shown that applying vibration to filter mesh can improve the overall efficiency of the scrubber and that the system can be readily integrated to existing continuous mining equipment using an energy harvesting approach. In this follow-up study, the impact of mesh design and surface modification on system efficiency was examined using different vibrating liquid-coated stainless-steel mesh panels in a laboratory-scale FBS. Based on the two-way interaction data from a multi-factor experimental design, the results show that the performance of the system can be optimized by using hydrophilic 20- or 30-layer filters and by excitation frequencies between 67 and 134 Hz. This laboratory study suggests that a 20-layer mesh screen with hydrophilic surface applications and optimized vibration parameters can perform similar to that of a 30-layer static mesh, which is typically used in industrial units.
The logic of China–US rivalry
Authors: Jisi Wang 
Published: May 2024

AbstractBehind the struggle and game between China and the United States are four sets of overlapping and mutually causal logics, namely the growth and decline of the two countries’ strength, ideological differences, changes in the international environment, and domestic political influence. Sino–US relations will not be able to return to the depth of exchanges and level of cooperation at the beginning of the twenty-first century for a long time. However, the long-term interests and strategic considerations of the two countries determine that the two countries must avoid war with each other and maintain a certain degree of economic cooperation and social exchanges. The biggest uncertainty in Sino–US relations in 2024 is the chaos that may be caused by domestic political struggles in the United States. However, the official and non-governmental contacts between China and the United States since 2023 have made the upper limit of the development of bilateral relations and the bottom line of conflict clearer. Sino–US relations are difficult to improve, but they are expected to be basically stable.
The Effects of a Direct Instruction Curriculum Sequence on the Reading Comprehension Responses of Early Readers
Authors: Laurent-Prophete Vanessa , Greer R. Douglas , Yurick Amanda L. 
Published: May 2024

AbstractReading comprehension is critical for early learners’ academic success. Derived relations are an important feature of reading comprehension within the science of behavior because reading comprehension involves experientially acquired derived stimulus relations (Helou-Care, 2008; Neves in Behavioral Interventions 38:376–400, 2023, Park, 2005; da Silva in Experimental Analysis of Human Behavior Bulletin 24:1–8, 2006). That is, derived relations pertain to a learner demonstrating comprehension by making untrained connections to previously trained stimuli (e.g., words). For example, a learner who is trained that “kitten” is a type of “cat” and that all “cats meow” should then be able to demonstrate the untrained connection that “kittens meow.” The purpose of this study was to investigate the effects of the Corrective Reading Comprehension (CR) curriculum, which employs an instructional sequence involving derived relations, on reading comprehension responses entailing derived relations. Four typically developing first-grade students were the participants in this study and the students were divided into two dyads. The principal researcher instructed each dyad on each of the five lessons of CR until mastery was obtained and then conducted postprobes on the dependent measures that were metaphors, derived relations from sentences, derived relations from letters/numbers, and implicit/explicit comprehension questions. The researchers used a delayed multiple probe design across 1st-grade dyads to assess the effect of five CR lessons on derived relations and reading comprehension responses of the participants. Posttest assessments showed gains for all four participants. The article concludes with a discussion of the main findings, implications for future research, and the limitations of this study.
A Novel Multi-camera Fusion Approach at Plant Scale: From 2D to 3D
Authors: Correa Edgar S. , Calderon Francisco C. , Colorado Julian D. 
Published: May 2024

AbstractNon-invasive crop phenotyping is essential for crop modeling, which relies on image processing techniques. This research presents a plant-scale vision system that can acquire multispectral plant data in agricultural fields. This paper proposes a sensory fusion method that uses three cameras, Two multispectral and a RGB depth camera. The sensory fusion method applies pattern recognition and statistical optimization to produce a single multispectral 3D image that combines thermal and near-infrared (NIR) images from crops. A multi-camera sensory fusion method incorporates five multispectral bands: three from the visible range and two from the non-visible range, namely NIR and mid-infrared. The object recognition method examines about 7000 features in each image and runs only once during calibration. The outcome of the sensory fusion process is a homographic transformation model that integrates multispectral and RGB data into a coherent 3D representation. This approach can handle occlusions, allowing an accurate extraction of crop features. The result is a 3D point cloud that contains thermal and NIR multispectral data that were initially obtained separately in 2D.
Monotone Nondecreasing Sequences of the Euler Totient Function
Authors: Tao Terence 
Published: May 2024

AbstractLet M(x) denote the largest cardinality of a subset of $$\{n \in \mathbb {N}: n \le x\}$$

{
n
∈
N
:
n
≤
x
}

on which the Euler totient function$$\varphi (n)$$

φ
(
n
)

is nondecreasing. We show that $$M(x) = \left( 1+O\left( \frac{(\log \log x)^5}{\log x}\right) \right) \pi (x)$$

M

(
x
)

=

1
+
O

(
log
log
x
)

5

log
x

π

(
x
)

for all $$x \ge 10$$

x
≥
10

, answering questions of Erdős and Pollack–Pomerance–Treviño. A similar result is also obtained for the sum of divisors function $$\sigma (n)$$

σ
(
n
)

.
Calibration of satellite typhoon data based on attitude modified buoy
Authors: Jia Weiguang , Ji Jianhua , Zhang Chuan , Chen Fangfang , Cheng Shaohua , Gao Zhanke , Shen Feifei , Yuan Lingling 
Published: May 2024

AbstractTo address the issue of poor accuracy in typhoon wind data, this paper presents a methodology for the calibration of typhoon wind data while conducting an analysis and evaluation of the associated uncertainties. The approach commences with the introduction of two wind field data calculation models. The first model facilitates the correction of buoy attitude, thereby transforming inaccurate buoy wind speed data into real-speed data. In parallel, the second model enables the conversion of buoy-observed true velocity into neutral stable stratified wind parameters, leveraging satellite-derived data for precise calculations. Subsequently, the paper undertakes the task of spatio-temporal alignment between buoy data and satellite observations. Ultimately, a comprehensive comparative analysis is conducted by juxtaposing the ERA5 database with data collected from a moored buoy equipped with the R.M. YOUNG wind monitor. A new simulation method for satellite wind speed data inversion is proposed, and the experimental results demonstrate the effectiveness of the proposed calibration method in enhancing the accuracy of typhoon wind field data. In particular, the maximum wind speeds recorded were 20.15 m s−1 and 13.22 m s−1 during Typhoon "Jangmi (202005)" and "Maysak (202009)," respectively. Furthermore, the mean square errors (MSE) for our method were measured at 0.31 m s−1 and 0.28 m s−1, outperforming the satellite-derived indicators. The expanded uncertainty of measurement results for the two typhoons was calculated at 0.39 m s−1 and 0.34 m s−1, closely aligning with the MSE values. These computational models present a valuable means of enhancing the precision and reducing uncertainty in satellite-derived data. The findings presented in this paper hold great promise for applications in typhoon forecasting, investigations of air-sea interactions, and disaster prevention and mitigation efforts.
APSSF: Adaptive CNN Pruning Based on Structural Similarity of Filters
Authors: Geng Lili , Niu Baoning 
Published: May 2024

AbstractConvolutional neural network (CNN) pruning is a technique used to remove redundant parameters from the network. By doing so, it aims to greatly reduce the computational complexity and scale of the network while still preserving its accuracy. In the CNN, the majority of parameters are weights that form filters. When it comes to pruning, it is more effective to focus on removing redundant filters rather than insignificant weights within filters. The essence of filter pruning lies in determining the significance or contribution of each filter. Filters that have a significant contribution are kept, while others are pruned. Current methods for calculating contribution in pruning often rely on weight magnitude or filter similarity. However, approaches based solely on assume that small weights are unimportant and ignore correlation between filters, which leads to a significant loss of network accuracy. Those based on filter similarity flatten filter tensors into a vector when calculating filter similarity, and lose the important structural information of filters, or the superposition information of the weight convolution in the corresponding space position. These limitations can compromise the accuracy and effectiveness of the pruning process. This paper proposes an adaptive CNN pruning method based on the structural similarity of filters (APSSF) by taking both the structural characteristics of and the correlation between filters into the consideration for pruning filters. APSSF efficiently calculates the distance between the filters by factoring in information from all the dimensions of filters, and clusters the filters according to the distance threshold determined adaptively according to the compression rate, and deletes a certain number of filters from each category. On the CIFAR10 and ImageNet datasets, APSSF outperforms several state-of-the-art methods. On the CIFAR100, APSSF reduces parameters of networks by 91.71% and 74.80% on VGG-16 and ResNet-34, respectively. The accuracy was decreased only by 0.03 on VGG-16, while on ResNet-34, it was increased by 0.04.
Chain mail structures in architecture: a systematic, multi-scalar design exploration
Authors: Afif Nabila , Ranscombe Charlie , Burry Jane 
Published: May 2024

AbstractChain mail structures, known for flexibility and adaptability, hold increasing promise for architectural applications, including transportable and reconfigurable systems. However, there is a dearth of knowledge on both systematic methods to design them, and complex behaviours of interlocking modules that comprise the structure. Preliminary studies, in response to this research gap, demonstrate the chain mail’s structural potential as programmable architecture. Nevertheless, to validate our models, we must move from the small scale to recognisably viable structures at an architectural scale.Acknowledging the multiscale prototype’s significance for developing new architectural systems, this study scales up chain mail structures from a small 1:10 scale to larger 1:2 and 1:1 scales. Employing a Research-Through-Design approach, we systematically addressed the challenges, focusing on module fabrication and prototype construction through analogue computation. Fabrication adjustments involve changing materials and modifying designs to suit manufacturing techniques. Additional design elements and process steps are needed to facilitate programming the larger scale structures due to the increased weight during construction. The research culminated in a full-scale saddle-like structure, illustrating the feasibility of direct scaling from smaller to larger scales and the expansive architectural potential of chain mail structures.In conclusion, the study successfully identified and responded to specific challenges related to the fabrication and construction of upscaled chain mail prototypes, aligning solutions with practical contexts. In doing so, this research contributes a set of considerations to enable more systematic design approaches for chain mail structural systems in architecture. At the same time, scaling up uncovers the inherent intelligence of these structures, providing a foundation for both empirical testing through analogue experimentation, and developing a predictive framework for their development and application in the field.
Benchmarking of Secure Group Communication schemes with focus on IoT
Authors: Prantl Thomas , Bauer André , Engel Simon , Horn Lukas , Krupitzer Christian , Iffländer Lukas , Kounev Samuel 
Published: May 2024

AbstractAs Internet of Things (IoT) devices become ubiquitous, they face increasing cybersecurity threats. Unlike standard 1-to-1 communication, the unique challenge posed by n-to-n communication in IoT is that messages must not be encrypted for a single recipient but for a group of recipients. For this reason, using Secure Group Communication (SGC) schemes is necessary to encrypt n-to-n communication efficiently for large group sizes. To this end, the literature presents various SGC schemes with varying features, performance profiles, and architectures, making the selection process challenging. A selection from this multitude of SGC schemes should best be made based on a benchmark that provides an overview of the performance of the schemes. Such a benchmark would make it much easier for developers to select an SGC scheme, but such a benchmark still needs to be created. This paper aims to close this gap by presenting a benchmark for SGC schemes that focus on IoT. Since the design of a benchmark first requires the definition of the underlying business problems, we defined suitable problems for using SGC schemes in the IoT sector as the first step. We identified a common problem for the centralized and decentralized/hybrid SGC schemes, whereas the distributed/contributory SGC schemes required defining an independent business problem. Based on these business problems, we first designed a specification-based benchmark, which we then extended to a hybrid benchmark through corresponding implementations. Finally, we deployed our hybrid benchmark in a typical IoT environment and measured and compared the performance of different SGC schemes. Our findings reveal notable impacts on calculation times and storage requirements without a trusted Central Instance (CI) in distributed/contributory SGC schemes.
Variation in cancer risk between organs can not be explained by the degree of somatic clonal expansion
Authors: Zhang Di , Zhang Ao , He Xionglei , Deng Shanjun 
Published: May 2024

AbstractSomatic clonal expansion refers to the proliferation and expansion of a cell clone within a multicellular organism. Since cancer also results from the uncontrolled proliferation of few cell clones, it is generally believed that aging-associated somatic clonal expansion observed in normal tissues represents a precancerous condition. For instance, hematological malignancy is often preceded by clonal hematopoiesis. However, the precise connection between cancer and somatic clonal expansion remains elusive in solid organs. In this study, we utilized a straightforward method to assess the relative quantitative degrees of clonal expansion in nine human organs. Our findings reveal that the degree of clonal expansion varies across different organs while remaining consistent among different individuals. Contrary to the general belief, we did not identify any significant correlation between lifetime cancer risk and the degree of lifetime somatic clonal expansion. For example, the lifetime risk of colorectal cancer is approximately 20 times higher than that of esophageal cancer, yet the former exhibited the lower degree of clonal expansion than the latter. Our results suggest that somatic clonal expansion represents an evolutionary process distinct from carcinogenesis in normal tissues, providing novel perspectives on precancerous conditions.
Symbolic dynamics for Hénon maps near the boundary of the horseshoe locus
Authors: HIRONAKA YUKI , ISHII YUTAKA 
Published: May 2024

AbstractBedford and Smillie [A symbolic characterization of the horseshoe locus in the Hénon family. Ergod. Th. & Dynam. Sys.37(5) (2017), 1389–1412] classified the dynamics of the Hénon map
$f_{a, b} : (x, y)\mapsto (x^2-a-by, x)$
defined on
$\mathbb {R}^2$
in terms of a symbolic dynamics when
$(a, b)$
is close to the boundary of the horseshoe locus. The purpose of the current article is to generalize their results for all
$b\ne 0$
(including the case
$b < 0$
as well). The method of the proof is first to regard
$f_{a, b}$
as a complex dynamical system in
$\mathbb {C}^2$
and second to introduce the new Markov-like partition in
$\mathbb {R}^2$
constructed by us [On parameter loci of the Hénon family. Comm. Math. Phys.361(2) (2018), 343–414].
Bivariate tempered space-fractional Poisson process and shock models
Authors: Soni Ritik , Pathak Ashok Kumar , Di Crescenzo Antonio , Meoli Alessandra 
Published: May 2024

AbstractWe introduce a bivariate tempered space-fractional Poisson process (BTSFPP) by time-changing the bivariate Poisson process with an independent tempered
$\alpha$
-stable subordinator. We study its distributional properties and its connection to differential equations. The Lévy measure for the BTSFPP is also derived. A bivariate competing risks and shock model based on the BTSFPP for predicting the failure times of items that undergo two random shocks is also explored. The system is supposed to break when the sum of two types of shock reaches a certain random threshold. Various results related to reliability, such as reliability function, hazard rates, failure density, and the probability that failure occurs due to a certain type of shock, are studied. We show that for a general Lévy subordinator, the failure time of the system is exponentially distributed with mean depending on the Laplace exponent of the Lévy subordinator when the threshold has a geometric distribution. Some special cases and several typical examples are also demonstrated.
Keck/KCWI spectroscopy of globular clusters in local volume dwarf galaxies
Authors: Forbes Duncan A. , Lyon Daniel , Gannon Jonah , Romanowsky Aaron J. , Brodie Jean P. 
Published: May 2024

Abstract
A number of nearby dwarf galaxies have globular cluster (GC) candidates that require spectroscopic confirmation. Here, we present Keck telescope spectra for 15 known GCs and GC candidates that may be associated with a host dwarf galaxy and an additional 3 GCs in the halo of M31 that are candidates for accretion from a now-disrupted dwarf galaxy. We confirm six star clusters (of intermediate-to-old age) to be associated with NGC 247. The vast bulk of its GC system remains to be studied spectroscopically. We also confirm the GC candidates in F8D1 and DDO190, finding both to be young star clusters. The three M31 halo GCs all have radial velocities consistent with M31 and are old and very metal-poor. Their ages and metallicities are consistent with accretion from a low-mass satellite galaxy. Finally, three objects are found to be background galaxies – two are projected near NGC 247 and one (candidate GCC7) is near the IKN dwarf. The IKN dwarf thus has only five confirmed GCs but still a remarkable specific frequency of 124.