bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial intelligence multiprocessing scheme for pathology images based on transformer for nuclei segmentation
Authors: Gou Fangfang , Tang Xinrong , Liu Jun , Wu Jia
Published: May 2024

Malignant tumors are a common cytopathologic disease. Pathological tissue examination is a key tool for diagnosing malignant tumors. Doctors need to manually analyze the images of pathological tissue sections, which is not only time-consuming but also highly subjective, easily leading to misdiagnosis. Most of the existing computer-aided diagnostic techniques focus too much on accuracy when processing pathological tissue images, and do not take into account the problems of insufficient resources in developing countries to meet the training of large models and the difficulty of obtaining medical annotation data. Based on this, this study proposes an artificial intelligence multiprocessing scheme (MSPInet) for digital pathology images of malignant tumors. We use techniques such as data expansion and noise reduction to enhance the dataset. Then we design a coarse segmentation method for cell nuclei of pathology images based on Transformer for Semantic Segmentation and further optimize the segmentation of tumor edges using conditional random fields. Finally, we improve the training strategy for knowledge distillation. As a medical assistive system, the method can quantify and convert complex pathology images into analyzable image information. Experimental results show that our method performs well in terms of segmentation accuracy and also has advantages in terms of time and space efficiency. This makes our technology available to developing countries that are not as well resourced, and equipped in terms of medical care. The teacher model and lightweight student model included in our method achieve 71.6% and 66.1% Intersection over Union (IoU) in cell segmentation respectively, outperforming Swin-unet and CSWin Transformer.
Situational diversity in video person re-identification: introducing MSA-BUPT dataset
Authors: Zhao Ruining , Liu Jiaxuan , Zhao Zhicheng , He Ziqi , Su Fei
Published: May 2024

Thanks to the success of deep learning over the past few years, the video person re-identification (ReID) algorithms have achieved high accuracy on multiple public benchmark datasets. However, the available video person ReID datasets cover a limited range of real-world scenarios, and they have several obvious limitations: limited camera viewing angles, tiny variations of the shooting scene, and even errors in manual labels. These disadvantages prevent video person ReID from being widely used in real-life scenarios. In this work, a new high-quality multi-situation video person ReID dataset, named MSA-BUPT, is built to promote the video person ReID task in large-scale urban surveillance. Specifically, MSA-BUPT contains 684 identities, 2,665 trajectories, and nearly 250,000 frames from 200-h videos across various complex scenarios. Person attribute annotations and unannotated video data are also provided for other research perspectives, such as cross-modality ReID, cross-domain ReID, and so on. Furthermore, two plug-and-play components are used to improve retrieval capabilities: a new scenario-based data augmentation method is proposed to alleviate the person misalignment problem; a re-ranking strategy based on person attribute is applied to make secondary adjustments to the content to the results of the model. The extensive experimental results show that the above methods improve the performance of some representative state-of-the-art models on the new dataset.
Multifunctional Integrated Organic–Inorganic-Metal Hybrid Aerogel for Excellent Thermal Insulation and Electromagnetic Shielding Performance
Authors: Niu Zhaoqi , Qu Fengjin , Chen Fang , Ma Xiaoyan , Chen Beixi , Wang Luyao , Xu Miao , Wang Shumeng , Jin Liang , Zhang Chengshuang , Hou Xiao
Published: May 2024

Vehicles operating in space need to withstand extreme thermal and electromagnetic environments in light of the burgeoning of space science and technology. It is imperatively desired to high insulation materials with lightweight and extensive mechanical properties. Herein, a boron–silica–tantalum ternary hybrid phenolic aerogel (BSiTa-PA) with exceptional thermal stability, extensive mechanical strength, low thermal conductivity (49.6 mW m−1 K−1), and heightened ablative resistance is prepared by an expeditious method. After extremely thermal erosion, the obtained carbon aerogel demonstrates noteworthy electromagnetic interference (EMI) shielding performance with an efficiency of 31.6 dB, accompanied by notable loading property with specific modulus of 272.8 kN·m kg−1. This novel design concept has laid the foundation for the development of insulation materials in more complex extreme environments.
On Finite Groups with Three Supersolvable Subgroups of Pairwise Relatively Prime Indices
Authors: Asaad M.
Published: May 2024

Let G be a finite group. In this paper, we obtain some new conditions for supersolvability of G with three supersolvable subgroups of pairwise relatively prime indices in G. Our main results improve and extend some known results in the literature.
Serving adults who have difficulty reading: challenges faced by U.S. adult education administrators
Authors: Pickard Amy
Published: May 2024

Recent assessments suggest that 43 million adults in the United States have difficulty completing basic reading tasks. Although the federal Workforce Innovation and Opportunities Act (WIOA) prioritizes education for adults with the greatest needs, there is long-standing concern that federally-funded programs might not serve lower-performing students well. This study sought the perspectives of state administrators of WIOA-funded adult education to identify challenges in serving adults who have difficulty reading and areas for future research. Identifying challenges and creating a robust evidence base can center adults who have difficulty reading as important participants in the field of practice and support the creation of effective strategies for their inclusion and success in WIOA-funded programming.
Knowing the spectral directional emissivity of 316L and AlSi10Mg PBF-LB/M surfaces: gamechanger for quantitative in situ monitoring
Authors: Becker Tina , Stark Thomas , Arduini Mariacarla , Manara Jochen , Altenburg Simon J.
Published: May 2024

For a deep process understanding of the laser powder bed fusion process (PBF-LB/M), recording of the occurring surface temperatures is of utmost interest and would help to pave the way for reliable process monitoring and quality assurance. A notable number of approaches for in-process monitoring of the PBF-LB/M process focus on the monitoring of thermal process signatures. However, due to the elaborate calibration effort and the lack of knowledge about the occurring spectral directional emissivity $${{\varepsilon }^{\prime}}_{\lambda }$$

ε

′

λ

, only a few approaches attempt to measure real temperatures. In this study, to gain initial insights into $${{\varepsilon }^{\prime}}_{\lambda }$$

ε

′

λ

occurring in the PBF-LB/M process, measurements on PBF-LB/M specimens and metal powder specimens were performed for higher temperatures up to T = 1290 °C by means of the emissivity measurement apparatus (EMMA) of the Center for Applied Energy Research (CAE, Wuerzburg, Germany). Also, measurements at ambient temperatures were performed with a suitable measurement setup. Two different materials—stainless steel 316L and aluminum AlSi10Mg—were examined. The investigated wavelength λ ranges from the visible range ($${\lambda }_{VIS}$$

λ

VIS

= 0.40–0.75 µm) up to the infrared, λ = 20 µm. The influence of the following factors were investigated: azimuth angle φ, specimen temperature TS, surface texture as for PBF-LB/M surfaces with different scan angles α, and powder surfaces with different layer thicknesses $$t$$
t
.
β-Modification in heterogeneous polypropylene for laser-based powder bed fusion of polymers
Authors: Cholewa Simon , Forstner Thomas , Jaksch Andreas , Drummer Dietmar
Published: May 2024

Currently, polyamides serve as the primary material used in laser-based powder bed fusion of polymers (PBF-LB/P), which prevents the components from exhibiting the mechanical characteristics of traditional manufacturing techniques. As a result, highly ductile and chemical-resistant materials are needed to cover more potential application areas. The preferred material is polypropylene (PP) with various structures and settings. A common practice in conventional manufacturing processes is adjusting the morphology of the component, but studies examining this type of influence in PBF-LB/P are scarce. In addition to examining important PBF-LB/P process characteristics like thermal properties and powder flow behavior, this work first presents potential nucleation agents and then manufactures components to assess the impact of the structure. It was concluded that processing the material is possible despite significantly higher crystallization kinetics. A parameter study was conducted to evaluate the initial PBF-LB/P processability by building single and triple layers. These results led to the creation of mechanical specimens that showed the material system’s processability. For the first time, it was possible to process β-nucleated PP, which displays increased elongation at break for higher β-content.
AutoDetect: Novel Autoencoding Architecture for Counterfeit IC Detection
Authors: Bhure Chaitanya , Nicholas Geraldine Shirley , Ghosh Shajib , Asadi Navid , Saqib Fareena
Published: May 2024

The global electronic supply chain industry is a complex and interconnected network of companies, organizations, and individuals that collaborate to produce and distribute electronic devices and components. It plays a critical role in the global economy, as electronic devices have become an essential part of modern life. Electronic components and devices are produced and distributed across the world, with different regions and countries specializing in different aspects of the supply chain. This global nature of the electronic supply chain industry also poses challenges, particularly in terms of quality control and supply chain transparency involving counterfeit components owing to its interconnected nature. Counterfeiting of integrated circuits (ICs) and semiconductor devices is a significant challenge that poses threats to the safety and reliability of electronic devices, the global economy, intellectual property rights, and the overall sustainability of the electronic supply chain industry. To address this challenge, we propose a novel autoencoding architecture for counterfeit IC detection using a labeled database. The proposed architecture achieves an overall accuracy of 83% which is $$\approx$$
≈
20% more than the existing transfer learning approaches.
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

Among 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

Respirable 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

Behind 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

Reading 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

Non-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

Let 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

To 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

Convolutional 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

Chain 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

As 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

Somatic 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.
Speech and the City
Authors: Matras Yaron
Published: May 2024

The Brexit debate has been accompanied by a rise in hostile attitudes to multilingualism. However, cities can provide an important counter-weight to political polarisation by forging civic identities that embrace diversity. In this timely book, Yaron Matras describes the emergence of a city language narrative that embraces and celebrates multilingualism and helps forge a civic identity. He critiques linguaphobic discourses at a national level that regard multilingualism as deficient citizenship. Drawing on his research in Manchester, he examines the 'multilingual utopia', looking at multilingual spaces across sectors in the city that support access, heritage, skills and celebration. The book explores the tensions between decolonial approaches that inspire activism for social justice and equality, and the neoliberal enterprise that appropriates diversity for reputational and profitability purposes, prompting critical reflection on calls for civic university engagement. It is essential reading for anyone concerned about ways to protect cultural pluralism in our society.
Symbolic dynamics for Hénon maps near the boundary of the horseshoe locus
Authors: HIRONAKA YUKI , ISHII YUTAKA
Published: May 2024

Bedford 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

We 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

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.
Common neural deficits across reward functions in major depression: a meta-analysis of fMRI studies
Authors: Zhao Xuanhao , Wu Shiyun , Li Xian , Liu Zhongwan , Lu Weicong , Lin Kangguang , Shao Robin
Published: May 2024

Major depressive disorder (MDD) is characterized by deficient reward functions in the brain. However, existing findings on functional alterations during reward anticipation, reward processing, and learning among MDD patients are inconsistent, and it was unclear whether a common reward system implicated in multiple reward functions is altered in MDD. Here we meta-analyzed 18 past studies that compared brain reward functions between adult MDD patients (N = 477, mean age = 26.50 years, female = 59.40%) and healthy controls (N = 506, mean age = 28.11 years, females = 55.58%), and particularly examined group differences across multiple reward functions. Jack-knife sensitivity and subgroup meta-analyses were conducted to test robustness of findings across patient comorbidity, task paradigm, and reward nature. Meta-regression analyses assessed the moderating effect of patient symptom severity and anhedonia scores. We found during reward anticipation, MDD patients showed lower activities in the lateral prefrontal-thalamus circuitry. During reward processing, patients displayed reduced activities in the right striatum and prefrontal cortex, but increased activities in the left temporal cortex. During reward learning, patients showed reduced activity in the lateral prefrontal–thalamic–striatal circuitry and the right parahippocampal–occipital circuitry but higher activities in bilateral cerebellum and the left visual cortex. MDD patients showed decreased activity in the right thalamus during both reward anticipation and learning, and in the right caudate during both reward processing and learning. Larger functional changes in MDD were observed among patients with more severe symptoms and higher anhedonia levels. The thalamic-striatal circuitry functional alterations could be the key neural mechanism underlying MDD patients overarching reward function deficiencies.
Gabriel Vázquez and the moral rehabilitation of hatred
Authors: Schwartz Daniel
Published: May 2024

Thomas Aquinas and most Christian theologians after him asserted that it is improper to attribute hatred to God. In 1598 the Jesuit theologian Gabriel Vázquez intrepidly argued that God can hate – not only with hatred of abomination but also with inimical hatred. Vázquez's surprising innovation is best explained in the context of the theological disputes between Jesuits and Dominicans on justification. Specifically, Vázquez is elaborating on the idea found in the Council of Trent that justification is a transition from enmity to friendship requiring a real change in the person being justified. He did so to counter views among Dominican theologians that this interior renewal could be in some way operated by God from the outside by way of a reconceptualisation of the sinner or a reevaluation of the value of his meritorious actions. These polemics drove Vázquez to rely on a robust, realist picture of friendship, based on the idea that affections must fit real qualities.
Bilingualism and flexibility in task switching
Authors: Ward Rebecca , Awani Justin
Published: May 2024

This study aimed to closely replicate Wiseheart et al. (Bilingualism: Language and Cognition, 19(1), 141–146, 2016) by investigating the transferability of language-switching skills to nonlinguistic task switching. Current evidence is mixed and there is a need to conduct robust replications in this area. Bilingual (n = 31) and monolingual (n = 47) young adults characterized stimuli by either colour or shape based on a given cue. Modifications include online data collection (as opposed to in-person) and adapting the nonverbal intelligence test used. All other aspects of the study mirror those by Wiseheart et al. Results indicate that the bilinguals exhibited better cognitive flexibility in task switching, as evidenced by a reduced global switch cost compared with monolinguals. In contrast, mixed evidence was found for local switch costs. Findings mirror those reported by Wiseheart et al. and suggest that by employing comparable task-switch paradigms and recruiting samples matched on several key variables, including age, gender, variety of languages spoken, and use of English, bilingualism does seem to confer broader executive function advantages. Findings are discussed in relation to theoretical implications to inform future replication studies and advance the bilingual advantage in the switching debate.
Gray Rainbows
Authors: Burton Robert
Published: May 2024

“You fooled me. I never dreamt,” George said to the pasty gray face in the mirror. As a child, he had worked out complicated schemes of how the world must be constructed. This led to that, and that led to this. When this and that no longer fit together, he began to squint, and limit his view to the essential. At any moment, the sky might break open and rain body parts and end times. He never imagined that it would be colors that would give way.
Context Matters: Understanding Student Usage, Skills, and Attitudes Toward AI to Inform Classroom Policies
Authors: Cahill Christine , McCabe Katherine
Published: May 2024

With the growing prevalence of AI tools, such as ChatGPT, political science instructors are navigating how to manage the use and misuse of AI in the classroom. This study underscores the prevalence of AI in academic settings and suggests pedagogical practices to integrate AI in the classroom in ways that are informed by students’ current interactions with and attitudes toward AI. Using a survey of undergraduate students in political science courses, the study finds that ChatGPT usage is widespread at the university level and that students are not confident in their skills for using AI appropriately to improve their writing or prepare for exams. These findings point to key areas where instructors can intervene and integrate AI in ways that enhance student learning, reduce potential achievement gaps that may emerge due to differences in AI usage across student backgrounds, and help students develop critical AI literacy skills to prepare for careers that increasingly are affected by AI.
Understanding the impact of foreign language on social norms through lies
Authors: Hu Zhimin , Navarrete Eduardo
Published: May 2024

This study investigates how a foreign language impacts social norms. We tested this by comparing the magnitude of response differences between norm-violating and norm-adhering behaviors in native language versus foreign language. In experiment 1, participants indicated the acceptability of third-person black and white lies in either their native or foreign language on a Likert scale. In experiment 2, participants indicated their first-person intentions to tell black and white lies on a Likert scale. Experiment 3 conceptually replicated experiment 1 on a slider scale, testing white lies and blunt truths. In experiment 4, participants provided dichotomous yes–no decisions to tell black and white lies. Results revealed a significant reduction of acceptability ratings in experiments 1 and 3 while only showing such a trend in experiments 2 and 4, suggesting language impacts particularly descriptive social norms. Collectively, these findings provide insight into how a foreign language diminishes the influence of social norms.
Laughing at Hypocrisy: The Turncoats (1711), Visual Culture and Dissent in Early Eighteenth-Century England
Authors: Morton Adam
Published: May 2024

This article considers The Turncoats (1711), an anti-Dissent graphic satire published after the Tory victory in the 1710 General Election. The print ridiculed the hypocrisy of those Dissenters who abandoned their principles and conformed to the Church of England after that election, and pointed to the pervasiveness of religious hypocrisy in early eighteenth-century England more generally. This article contextualizes the print within the tense religious and political rivalries that developed after the 1688 Revolution and the trial of Henry Sacheverell. The Turncoats’ ridicule resonated because it built on older traditions of stereotypes in anti-popery and anti-puritanism, which used mockery to attack those perceived to be hypocrites. Mockery is analyzed by considering how early modern culture understood laughter. It is argued that ridicule in The Turncoats expressed superiority over hypocrites by subjecting them to contempt and provided relief from anxieties about the prevalence of hypocrisy during the rage of parties.
The Problems of Performing Piety in some Exeter Dissenting Sermons c.1660–1745
Authors: Parry David
Published: May 2024

This article explores the theme of hypocrisy in a multi-volume collection of hitherto unstudied manuscript sermons by Exeter Dissenting ministers from the Restoration to the mid-eighteenth century, held by the Devon and Exeter Institution. In these sermons, the theme of hypocrisy is addressed in a variety of senses and contexts, including the imposition by conformists of forms of worship not required by Scripture; the false accusations of hypocrisy made against Dissenters; the insincere performance of piety; the tendency of sinners to justify vice as virtue and virtue as vice; and the incompatibility of persecution with true New Testament Christianity. These sermons trace a move from Reformed orthodoxy towards rational Dissent, with a soteriology that increasingly makes moral performance a condition of final salvation. The possibility of insincere performance of piety and virtue by hypocrites may have created increased anxiety in a context in which soteriology and ethics were increasingly entangled.
Humanity Defined, Hypocrisy Defied: Sacralizing the Black Freedom Struggle, 1930–60
Authors: Dickerson Dennis C.
Published: May 2024

The white ecclesia in the United States either opposed or equivocated on the matter of the humanity of African Americans. The 1939 unification of majority white Methodist bodies, for example, structurally segregated black members into a separate Central Jurisdiction. This action mimicked practices in the broader body politic that crystallized in American society both de jure and de facto systems of second-class citizenship for African Americans. This hypocrisy mobilized adherents of Gandhian non-violence and elicited from them tenets and tactics which energized moral methodologies that defeated a church and civic collusion that perpetrated black subordination. Interracial alliances derived from the ecclesia and parachurch organizations articulated non-violence as a moral precept that sacralized a grassroots civil rights movement. This initiative morally discredited the racial hypocrisy aimed at America's formerly enslaved and segregated population.
Ostriches, Spiders’ Webs and Antichrist: Hypocrisy in Writings of Pope Gregory the Great and Archbishop Wulfstan II of York
Authors: Cubitt Catherine
Published: May 2024

This article examines the use of the concepts of hypocrisy and the hypocrite in the writings of Pope Gregory the Great (590–604) and Archbishop Wulfstan of York (1002–23). Although separated by many centuries, these two treatments are connected through Wulfstan's debt to Gregory's ideas on the evil of hypocrisy, and particularly in his depiction of Antichrist as the chief of all hypocrites. Both use the idea of hypocrisy to critique their contemporary situation: for Gregory, the pride of the Patriarch John IV of Constantinople in adopting the title ‘Ecumenical Patriarch’; and for Wulfstan, the court politics in the turbulent final years of the reign of Æthelred the Unready.
False Religion and Hypocrisy in Signorelli's Antichrist
Authors: Gravanis Konstantinos
Published: May 2024

This article discusses the iconography of Luca Signorelli's Sermon and Deeds of the Antichrist (c.1502–3) in the Cappella Nuova at the cathedral of Orvieto. A combined investigation of the Antichrist's subject matter, Signorelli's literary and visual sources, as well as his discarded drawings for the entire fresco decoration of the Cappella Nuova, brings fresh insights to the thematic intentions of the artist and his advisers. Signorelli's entire view of eschatology marked a renewed interest of Italian artists in the apocalyptic sublime. It also signified a revival of the medieval tradition of the Antichrist as the arch-hypocrite, and his reign as an apocalyptic age of hypocrisy. At the same time, the artist's treatment of the subject matter indicates an ambiguous stance toward religious hypocrisy characterized by a suppression of the anti-clerical and millenarian aspects of the Antichrist myth.
‘See sincerity sparkle in thy practice’: Antidotes to Hypocrisy in British Print Sermons, 1640–95
Authors: Pravdica Anna
Published: May 2024

Seventeenth-century British preachers persistently defined hypocrisy in contrast to its divine antidote: sincerity. This article looks at four such case studies from across the ‘puritan’-‘Anglican’ divide, analysing the sermons of the Independent Nicholas Lockyer, the Presbyterian Christopher Love, the Church of England clergyman James Oldfield, and the archbishop of Canterbury John Tillotson. It considers to what extent Protestant instruction on sincerity and hypocrisy shifted according to religious affiliation and socio-political context, arguing that although these sermons possessed considerable continuities in their theological underpinnings, they also exhibited divergences in focus and instruction that are sometimes, but not always, predictable along denominational lines. These differences held weighty implications for the individual receiving spiritual guidance on how to forswear hypocrisy and live a truly sincere life, particularly throughout the period of instability and contention that marked Britain from the Civil Wars to the Glorious Revolution.