bluuebunny/crossref_metadata_2025 huggingface dataset:
Tuning multispectral fluorescence quantum dot–based identification of short-length amyloid β peptides by applying Cu(II) ions
Authors: Głowacz Klaudia , Tokarska Weronika , Olechowska Anita , Wezynfeld Nina E. , Ciosek-Skibińska Patrycja
Published: October 2024

Currently available methods for detecting amyloid β (Aβ) derivatives are mainly dedicated to determining the long forms Aβ1-42 and Aβ1-40. At the same time, the number of physiologically occurring Aβ analogs is much higher, including those truncated at the N- and C-termini. Their identification using standard methods is challenging due to the structural similarity of various Aβ analogs, but could highly benefit from both biomarkers discovery and pathophysiological studies of Alzheimer’s disease. Therefore a “chemical tongue” sensing strategy was employed for the detection of seven Aβ peptide derivatives: Aβ1-16, Aβ4-16, Aβ4-9, Aβ5-16, Aβ5-12, Aβ5-9, Aβ12-16. The proposed sensing system is based on competitive interactions between quantum dots, Cu(II) ions, and Aβ peptides, providing unique fluorescence fingerprints useful for the identification of analytes. After carefully evaluating the Aβ sample preparation protocol, perfect determination of all studied Aβ peptides was achieved using partial least square–discriminant analysis (PLS-DA). The developed PLS-DA models are characterized by excellent accuracy, sensitivity, precision, and specificity of analyte determination, emphasizing the potential of the proposed sensing strategy.

Graphical abstract
Challenges of Continuous Wave EPR of Broad Signals—The Ferritin Case
Authors: Otsuka Fabio Seiji , García Otaduy Maria Concepción , Nascimento Otaciro Rangel , Garrido Salmon Carlos Ernesto , Huber Martina
Published: October 2024

The study of continuous wave (cw) electron paramagnetic resonance (EPR) spectra still poses a challenge for very broad signals, especially when the spectrum extends over a large part of the accessible field range. The difficulties derive from instrumental challenges, because of insufficient modulation depth and the need to apply measurement conditions that enhance cavity background. The biggest problem, however, is how to define a baseline such that spectral distortions are minimized. Conventional methods rely on a suitable choice of points outside the range of the signal of interest to perform a polynomial interpolation. These methods are effective in most cases where the signal of interest comprises only a narrow range of magnetic field (narrow features). In this study, a novel method of baseline correction for broad signals is proposed and compared to conventional methods. It takes into account that there are only few anchor points for the baseline. The method is applied to the signal of the iron-storage protein ferritin. The ferritin signal is a broad band that extends from zero to 0.8 T. An approach is developed by which this broad signal is analyzed reliably. The method is also extended to the case where the broad signal is superimposed on narrow signals and enables to extract the parameters of both types of signals in a fitting pipeline.
Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR
Authors: Turnbull Robert , Mannix Evelyn
Published: October 2024

The capacity to isolate and recognize individual characters from facsimile images of papyrus manuscripts yields rich opportunities for digital analysis. For this reason the ‘ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri’ was held as part of the 17th International Conference on Document Analysis and Recognition. This paper discusses our submission to the competition. We used an ensemble of YOLOv8 models to detect and classify individual characters and employed two different approaches for refining the character predictions, including a transformer based DeiT approach and a ResNet-50 model trained on a large corpus of unlabeled data using SimCLR, a self-supervised learning method. Our submission won the recognition challenge with a mAP of 42.2%, and was runner-up in the detection challenge with a mean average precision of 51.4%. At a more relaxed intersection over union threshold of 0.5, we achieved the highest precision and recall for both detection and classification. The results demonstrate the potential of these techniques for automated character recognition on historical manuscripts. We ran the prediction pipeline on more than 4500 images from the Oxyrhynchus Papyri to illustrate the utility of our approach and release the results publicly in multiple formats.
Are seronegative patients with rheumatoid arthritis and clinically suspect arthralgia properly represented in randomized clinical trials?
Authors: D’Onofrio Bernardo , Selmi Carlo , Gremese Elisa
Published: October 2024

Rheumatoid arthritis (RA) is a chronic immuno-inflammatory disease whose outcomes can vary greatly from one patient to another. One of the main prognostic factors is the presence of serum autoantibodies, such as rheumatoid factor (RF) and anti-citrullinated peptide antibodies (ACPA). Indeed, when seropositive, patients with RA are at higher risk of radiographic progression, disability, and increased mortality. Moreover, while the introduction of the 2010 American College of Rheumatology/European Alliance of Associations for Rheumatology (ACR/EULAR) classification criteria has allowed for an earlier diagnosis, studies on large early arthritis cohorts have also shown that these criteria are less capable of identifying seronegative patients, who are therefore at a higher risk of being diagnosed and treated late. In light of these, the major randomized controlled trials have mostly enrolled patients with autoantibody-positive disease. However, in recent years, it became evident that the two serotypes of RA differ significantly from many points of view. Alongside this, a greater understanding of the disease pathogenesis, particularly the presence of antibodies in patients’ serum even before the onset of arthritis, has generated significant interest in exploring whether the disease could be prevented by treating patients in the pre-arthritis phases. Once again, emerging trials predominantly enroll subjects positive for RA autoantibodies, potentially overlooking seronegative individuals with arthralgia-at-risk.
Contemporary gaps in research on digital divide in education: a literature review
Authors: Mirazchiyski Plamen Vladkov
Published: October 2024

While computer technology permeates all spheres of life in modern society, the outcomes of using technology are different for different groups. The “digital divide” is probably one of the most undefined terms in educational research. One of the most pressing challenges is the definition of digital divide itself. Many of the contemporary research papers still focus on the gaps in access/possession of technology while this issue is not as relevant as it used to be. Most contemporary research papers simply do not even provide a definition of the construct they investigate. Those who target higher levels of the digital divide do not define the strand they focus on or use different interchangeable terms to name it. This article reviews contemporary literature critically and clarifies basic terms related to the digital divide with a specific focus on computer and information literacy. It also provides a definition of the digital divide that shifts focus from the traditional understanding of its levels and focuses on computer and information literacy as its core, as this construct encompasses all “new literacies” and is crucial for functioning and achieving outcomes in the information society.
Cost-effectiveness analysis of the digital fall preventive intervention Safe Step among community-dwelling older people aged 70 and older
Authors: Bajraktari Saranda , Sandlund Marlene , Pettersson Beatrice , Rosendahl Erik , Zingmark Magnus
Published: October 2024

Falls are the most common cause of injury in older people, with consequences for the individual and society. With an increasing population of older people, falls and related costs are expected to increase. It is crucial to identify scalable and cost-effective interventions and subsequently reduce fall-related costs. The aim was to evaluate the cost-effectiveness of the Safe Step digital fall preventive exercise intervention over a period of 12 years and, in addition, to evaluate the impact of increased recruitment cost and decreased intervention effect. The intervention was evaluated in an observational study in a municipality context targeting community-dwelling older people of age 70 + . A Markov model with five states was used to model the cost-effectiveness of the Safe Step intervention and evaluate quality-adjusted life years (QALYs) and fall-related costs from a societal perspective. By using data from a meta-analysis as basis for the estimated intervention effect, the Safe Step intervention was compared with a no-intervention alternative. The results showed that the Safe Step intervention dominated no intervention. In the sensitivity analysis with the most conservative estimate of intervention effect, the ICER was €7 616 per QALY gained. Hence, Safe Step showed to be a cost-saving fall preventive intervention in older people at risk of falling and potentially cost-effective even with a low estimated intervention effect. Future studies on efficacy of fall preventive digital interventions will contribute in precising effect estimates and enhance the validity of these cost-effectiveness results.
Partial Algebras and Implications of (Weak) Matrix Properties
Authors: Hoefnagel Michael , Jacqmin Pierre-Alain
Published: October 2024

Matrix properties are a type of property of categories which includes the ones of being Mal’tsev, arithmetical, majority, unital, strongly unital, and subtractive. Recently, an algorithm has been developed to determine implications $$\textrm{M}\Rightarrow _{\textrm{lex}_*}\textrm{N}$$

M

⇒

lex

∗

N

between them. We show here that this algorithm reduces to constructing a partial term corresponding to $$\textrm{N}$$
N
from a partial term corresponding to $$\textrm{M}$$
M
. Moreover, we prove that this is further equivalent to the corresponding implication between the weak versions of these properties, i.e., the one where only strong monomorphisms are considered instead of all monomorphisms.
Applications of regenerated bacterial cellulose: a review
Authors: Rosson Lucas , Tan Boon , Best Wayne , Byrne Nolene
Published: October 2024

Whilst synthetic polymers have changed the world in many important ways, the negative impacts associated with these materials are becoming apparent in waste accumulation and microplastic pollution due to lack of biodegradability. Society has become aware of the need to replace or substitute environmentally persistent synthetic polymers, and cellulose has received a large amount of attention in this respect. The mechanical properties of cellulose, its renewable nature and biodegradability are advantageous properties. Drawbacks exist for the use of plant cellulose (PC), including the water footprint of cotton, deforestation associated with wood/dissolving pulp, and the extensive processing required to refine plants and wood into pure cellulose. Bacterial cellulose (BC), also known as microbial cellulose, is gaining momentum in both academic and industry settings as a potential solution to the many drawbacks of plant-based cellulose. Compared to PC, BC has high purity, crystallinity and degree of polymerisation, and can be manufactured from waste in a way that yields more cellulose per hectare, per annum, and requires less intense chemical processing. Native bacterial cellulose can be formed and shaped to an extent and is found in a variety of commercial products. However, dissolving and regenerating bacterial cellulose is a potential avenue to broaden the applications available to this material. The aim of this study is to review the applications which utilize regenerated bacterial cellulose, with a focus on the dissolution/regeneration methods used and discussing the associated limitations and future outlook.
In Defense of Anti-Haecceitism: Chance and Counterfactuals
Authors: Bigaj Tomasz
Published: October 2024

Boris Kment formulates two challenges to anti-haecceitism: one based on the concept of chance, and the other involving counterfactuals. In this paper I refute the chance-based argument by appropriately reformulating its premises in a non-individualistic language. Regarding the argument from counterfactuals I consider three strategies of defense. The strategy that is ultimately accepted as most promising is a revamped approach based on the distinction between possible worlds and possibilities. I counter Kment’s claim that the introduction of fine-grained possibilities within possible worlds is haecceitism in disguise. My conclusion is that anti-haecceitism survives the criticism, and is an overall more attractive position than its competitor.
SLERP-TVDRK (STVDRK) Methods for Ordinary Differential Equations on Spheres
Authors: Leung Shingyu , Chau Wai Ming , Lee Young Kyu
Published: October 2024

We mimic the conventional explicit Total Variation Diminishing Runge–Kutta (TVDRK) schemes and propose a class of numerical integrators to solve differential equations on a unit sphere. Our approach utilizes the exponential map inherent to the sphere and employs spherical linear interpolation (SLERP). These modified schemes, named SLERP-TVDRK methods or STVDRK, offer improved accuracy compared to typical projective RK methods. Furthermore, they eliminate the need for any projection and provide a straightforward implementation. While we have successfully constructed STVDRK schemes only up to third-order accuracy, we explain the challenges in deriving STVDRK-r for $$r\ge 4$$

r
≥
4

. To showcase the effectiveness of our approach, we will demonstrate its application in solving the eikonal equation on the unit sphere and simulating p-harmonic flows using our proposed method.
Modelling and evaluating restricted ESNs on single- and multi-timescale problems
Authors: Wringe Chester , Stepney Susan , Trefzer Martin A.
Published: October 2024

Reservoir Computing is a computing model ideal for performing computation on varied physical substrates. However, these physical reservoirs can be difficult to scale up. We propose joining various reservoirs together as an approach to solving this problem, simulating physical reservoirs with Echo State Networks (ESNs). We investigate various methods of combining ESNs to form larger reservoirs, including a method that we dubRestricted ESNs. We provide a notation for describing Restricted ESNs, and use it to benchmark a standard ESN against restricted ones. We investigate two methods to keep the weight matrix density consistent when comparing a Restricted ESN to a standard one, which we calloverall consistencyandpatch consistency. We benchmark restricted ESNs on NARMA10 and the sunspot prediction benchmark, and find that restricted ESNs perform similarly to standard ones. We present some application scenarios in which restricted ESNs may offer advantages over standard ESNs. We then test restricted ESNs on a version of the multi-timescale Multiple Superimposed Sines tasks, in order to establish a baseline performance that can be improved upon in further work. We conclude that we can scale up reservoir performance by linking small homogeneous subreservoirs together without significant loss in performance over a single large reservoir, justifying future work on using heterogeneous subreservoirs for greater flexibility.
Hermeneutical Injustice Through Defective Concept Possession
Authors: Deans Danni
Published: October 2024

This paper identifies and analyses a novel species of hermeneutical epistemic injustice (HI). Fricker’s traditional account analyses HI in terms of a collective conceptual gap. (Epistemic injustice: power and the ethics of knowing, Oxford University Press, Oxford, 2007). Building on this, Simion’s analysis (in: Bondy P, Carter JA (eds) Well-founded belief: new essays on the epistemic basing relation. Routledge, New York, 2019) suggests the phenomenon is broader, and thus more ubiquitous: specifically, that agents who have been hermeneutically marginalised can be susceptible to HI through failing to ground their social experience in conceptual resources that are already available. This paper advances the literature further and presents a novel strand of the phenomena, where agents both have, and base, their experience on available concepts but are still subject to HI. I argue that this is an important species of HI that should be investigated and accounted for, and I suggest that in virtue of being hermeneutically marginalised, often agents only have available to them defective or oppressive concepts. I further provide a case study of what this can look like online and new concerns social media presents for this kind of HI. CW: Mentions of transphobia, racism, sexism, rape.
The impact of COVID-19 restrictions on road traffic and noise pollution of the urban street, a case study from Krakow, Poland
Authors: Plesiński Karol , Cholewa Mariusz
Published: October 2024

The study determined the impact of restrictions introduced by the Ministry of Health in connection with the COVID-19 pandemic on traffic and sound pressure levels in the university building and its immediate vicinity. Mickiewicza Street was selected for the study. It is one of the city’s busiest streets, located relatively close to the old historic center, and is the main artery connecting the north and south of the city. There are residential buildings on this street, but primarily offices and institutions, as well as schools and universities. Noise near the street and in buildings located relatively close to the road can be a serious problem in places where peace is required (e.g., libraries, reading rooms, university halls). Therefore, the acoustic comfort needed in these places may be disturbed, and the perception of knowledge acquisition may be limited. The aim of the work was achieved through measurements and analysis of street traffic intensity and sound pressure levels, taking into account pandemic restrictions. Then, statistical analyses were performed, which showed significant variability in traffic intensity and sound pressure values in individual periods of the pandemic. The pandemic’s beginning was mainly characterized by a significant decrease in the above data, deviating from the norm. In the pre-pandemic period, an average of 47,733 vehicles passed through the street daily, and the median sound pressure was Leq.OUT = 62.0 dBA outside the building and Leq.INS = 44.0 dBA inside. During the greatest restrictions, a period called “lockdown,” the number of cars driving decreased a little to an average of 44,153 per day, but there were days with 10,000–20,000 cars passing. In turn, noise decreased to 59.9 dBA for Leq.OUT and 43.2 dBA for Leq.INS. Between the first and second waves of infections, traffic was comparable to the post-pandemic period (an average of 69,027 cars per day), and noise also increased to Leq.OUT = 64–65 dBA and close to Leq.INS = 47.5 dBA. Studies have shown that noise on Mickiewicza Street is mainly caused by traffic (correlation coefficient: r = 0.92 for Leq.OUT and r = 0.86 for Leq.INS). The sound pressure level is high outside (Leq.OUT = 63.9 dBA) but relatively low inside the building (Leq.INS = 47.0 dBA) and should not negatively affect university staff and students (Leq.WH < LWH.acc). Based on the analyses, three stages show society’s approach to the COVID-19 pandemic: (1) fear of the COVID-19 pandemic; (2) relaxation after restrictions; (3) getting used to the COVID-19 pandemic. These periods did not correlate with the development of the pandemic or the number of people infected and dead.
“I didn’t really fit into any boxes”: understanding the experiences of women affected by cancer in pregnancy and up to one-year postpartum—a mixed-method systematic review
Authors: Armitage Lucy , Atchan Marjorie , Davis Deborah , Turner Murray R. , Paterson Catherine
Published: October 2024

Purpose

Little is known about women’s experiences of cancer during pregnancy and up to one-year postpartum. As the incidence of gestational cancer rises parallel to increasing rates of early onset cancers there is an imperative need to understand their experiences. The aim of this research is to understand women’s experiences of gestational cancer during pregnancy and up to one-year postpartum.

Methods

This systematic integrative review followed the JBI methodology for mixed method systematic reviews (MMSR) which integrates empirical data from qualitative and quantitative primary studies. The search strategy included electronic databases, APA PsycINFO, CINHAL, Medline, Scopus, and the Web of Science Core Collection. The review has been reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive methodological quality assessment was undertaken using the Mixed Methods Appraisal Tool (MMAT).

Results

Thirteen studies were included, reporting on the experiences of 266 women. The findings represented the women’s insight on the psychological impact of their gestational cancer, the impact on women’s identity as a mother and a patient, and women’s experiences of complex care.

Conclusions

Gestational cancer reflects an emerging focus of clinical practice and an opportunity for much needed new research to explore woman-centered care exploring supportive care needs and models of maternity care.

Implications for Cancer Survivors

Women’s experiences indicate that services are under-resourced to address the holistic and integrated supportive care needs of women affected by cancer across both maternity and cancer care teams.
The construct of attitude in mathematics education research: current trends and new research challenges from a systematic literature review
Authors: Aquilina Ginevra , Di Martino Pietro , Lisarelli Giulia
Published: October 2024

The crucial role of attitude towards mathematics in the processes of teaching and learning mathematics is now recognized by both school practitioners and researchers in the field. However, “attitude” is a construct borrowed by disciplines other than mathematics education, and it is still conceptualized in various ways within the broad body of research about the role of affect in the teaching and learning of mathematics. In this context, developing a systematic literature review is particularly significant to characterise the recent trends—through the critical description of studies, foci, and approaches—and to guide future research by highlighting new possible research challenges in light of the current state of the art. Adhering to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, this paper describes the systematic literature analysis of 180 papers published between the beginning of 2016 and the end of 2023, sourced from the Web of Science and Elsevier’s Scopus databases. The review confirms the worldwide interest and production about attitude towards mathematics, highlighting new remarkable findings and interests, such as the critical discussion about the translation of validated scales, as well as the persistence of some typical critical issues related to the “quantitative domain” in methodologies and to the widespread absence of precise definitions for attitude or of appropriate theoretical frameworks.
Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description
Authors: Gao Zhihui , Nakayama Ryohei , Hizukuri Akiyoshi , Kido Shoji
Published: October 2024

This study aims to develop an anomaly-detection scheme for lesions in CT images. Our database consists of lung CT images obtained from 1500 examinees. It includes 1200 normal and 300 abnormal cases. In this study, SVDD (Support Vector Data Description) mapping the normal latent variables into a hypersphere as small as possible on the latent space is introduced to VQ-VAE (Vector Quantized-Variational Auto-Encoder). VQ-VAE with SVDD is constructed from two encoders, two decoders, and an embedding space. The first encoder compresses the input image into the latent-variable map, whereas the second encoder maps the normal latent variables into a hypersphere as small as possible. The first decoder then up-samples the mapped latent variables into a latent-variable map with the original size. The second decoder finally reconstructs the input image from the latent-variable map replaced by the embedding representations. The data of each examinee is classified as abnormal or normal based on the anomaly score defined as the combination of the difference between the input image and the reconstructed image and the distance between the latent variables and the center of the hypersphere. The area under the ROC curve for VQ-VAE with SVDD was 0.76, showing an improvement when compared with the conventional VAE (0.63, p < .001). VQ-VAE with SVDD developed in this study can yield higher anomaly-detection accuracy than the conventional VAE. The proposed method is expected to be useful for identifying examinees with lesions and reducing interpretation time in CT screening.
Unveiling multimodal hot carrier excitation in plasmonic bimetallic Au@Ag nanostars for photochemistry and SERS sensing
Authors: Negrín-Montecelo Yoel , Elsaidy Amir , Giráldez-Martínez Jesús , Carbó-Argibay Enrique , Wang Zhiming , Govorov Alexander O. , Alvarez-Puebla Ramon A. , Correa-Duarte Miguel A. , Besteiro Lucas V.
Published: October 2024

Plasmonic nanostructures stand at the forefront of nanophotonics research, particularly in sensing and energy conversion applications. Their unique ability to confine light energy at the nanoscale makes them indispensable for a wide array of technological advancements. The study of these structures often makes use of different materials and, even more extensively, explores new shapes and configurations to extend our common repertoire of useful nanophotonics tools. Exploring the creation of bimetallic plasmonic nanostructures combines these two dimensions determining the space of possible plasmonic resonators and opens the possibility of tailoring systems with behavior unavailable to single-metal plasmonic structures. In this paper, we delve into the exploration of bimetallic systems employing plasmonic nanostars. These structures have demonstrated remarkable capabilities for surface-enhanced Raman scattering (SERS) spectroscopy and photochemistry, due to the strong plasmonic response of their peaks, whose disposition following a spherical symmetry makes them largely polarization- and orientation-insensitive. Herein, we report the colloidal synthesis of two different water-stable Au@Ag nanostars, explore their performance as photocatalysts and SERS substrates, and provide an in-depth account of their non-trivial physical response.
Is It Worth Performing Intersphincteric Resection in Patients Having Rectal Adenocarcinoma with Oligometastasis
Authors: Kaderi Abdeali Saif Arif , Singh Sanjay , Sharma Ankit , Kazi Mufaddal , Desouza Ashwin , Saklani Avanish
Published: October 2024

Intersphincteric resection (ISR) is being increasingly performed in metastatic rectal adenocarcinoma (with oligometastasis) patients. There has been a trend towards worse prognosis in this group. This study compares the oncological and surgical outcomes of patients with and without pre-operative oligometastasis who underwent ISR. The outcomes compared include prognostic factors like margin positivity, recurrence rates, stoma reversal rate, and surgical failure rate (defined as a combination of one or more of the aforestated factors). The demographic pattern, American Society of Anaesthesia grade (ASA), treatment received, clinical and histopathological T and N stage, grade, type of minimally invasive surgery (MIS) approach, neoadjuvant therapy, and pathological high-risk features are also studied. Patients who underwent minimally invasive ISR over 10 years at a high-volume tertiary cancer center were selected for the study. Factors used for the assessment of oncological outcomes were margin positivity (circumferential resection and distal margin), recurrence (both local and systemic), and stoma reversal rate. A descriptive and comparative analyses were performed. Four hundred and eight patients underwent minimally invasive ISR of which 25 (6.12%) patients were oligometastatic. While R0 resection was similar in both groups, higher overall recurrence (24% versus 18.5%) and low stoma reversal rate (36.8% versus 67.3%) were observed in the oligometastatic group with statistically significant differences. No local recurrence was seen in the oligometastatic group, and the difference compared to non-metastatic group was not statistically different. This study indicates that oligometastatic patients who underwent ISR experienced lower stoma reversal rates, maintaining similar local control but facing higher rates of systemic recurrence.
Cooperative augmented assembly (CAA): augmented reality for on-site cooperative robotic fabrication
Authors: Alexi Eleni Vasiliki , Kenny Joseph Clair , Atanasova Lidia , Casas Gonzalo , Dörfler Kathrin , Mitterberger Daniela
Published: October 2024

Recent years have witnessed significant advances in computational design and robotic fabrication for large-scale manufacturing. Although these advances have enhanced the speed, precision, and reproducibility of digital fabrication processes, they often lack adaptability and fail to integrate manual actions in a digital model. Addressing this challenge, the present study introduces cooperative augmented assembly (CAA), a phone-based mobile Augmented Reality (AR) application that facilitates cooperative assembly of complex timber structures between humans and robots. CAA enables augmented manual assembly, intuitive robot control and supervision, and task sharing between humans and robots, creating an adaptive digital fabrication process. To allocate tasks to manual or robotic actions, the mobile AR application allows multiple users to access a shared digital workspace. This is achieved through a flexible communication system that allows numerous users and robots to cooperate seamlessly. By harnessing a cloud-based augmented reality system in combination with an adaptive digital model, CAA aims to better incorporate human actions in robotic fabrication setups, facilitating human–machine cooperation workflows and establishing a highly intuitive, adaptable digital fabrication process within the Architecture, Engineering, and Construction sector.
Inducing Intimacy
Authors: Kennedy Chloë
Published: October 2024

Kennedy presents a new way of evaluating the regulation of deceptively induced intimacy, that is, sex and sexual/romantic relationships, on the basis of an innovative genealogy of legal responses to this conduct. This book traces the development of a range of civil and criminal laws across c. 250 years, showing how using deception to induce intimacy has been legally understood, compensated and punished. It offers an original interpretation of the form and function of these laws by situating them in their social and cultural contexts. It argues that prevailing notions of what makes intimacy valuable, including the role it plays in self-construction, have shaped and constrained the laws' operation. It shows how deceptively induced sex has come to be treated more seriously while the opposite is true of deceptively induced relationships and concludes by presenting a new framework for deciding whether and when deceptively induced intimacy should be regulated by law today.
Playing to Survive: Children and Innovation During the Little Ice Age in Greenland
Authors: Meyer Mathilde Vestergaard , Riede Felix
Published: October 2024

Greenland is the world's largest island, but only a narrow strip of land between the Inland Ice and the sea is inhabitable. Yet, the Norse chose to settle here around ad 986. During the eleventh century ad, precontact Inuit people moved into Greenland from northern Alaska via Canada. Although the two cultures faced the same climatic changes during the Little Ice Age, the Inuit thrived, while the Norse did not, for multiple causes. The authors focus on one of these causes, the hitherto overlooked contribution of young children's learning strategies to societal adaptation. The detailed analysis of a large corpus of play objects reveals striking differences between the children's material culture in the two cultures: rich and diverse in the precontact Inuit material and more limited and normative in the Norse. Drawing on insights from developmental psychology, the authors discuss possible effects of play objects on children's future adaptability in variable climatic conditions.
Seasonal changes of community structure and vertical distribution/migration for mesopelagic fish in the western subarctic Pacific
Authors: Kitamura Minoru , Murata Naofumi
Published: October 2024

Although mesopelagic fish dominate the oceanic ecosystem, they remain one of the least investigated components. From the vertically stratified sample collections, we investigated community structure, vertical distribution and diel/ontogenetic vertical migration covering four seasons for larval and juvenile/adult mesopelagic fish at the time-series station K2 in the Western Subarctic Gyre of the North Pacific. We collected 10 and 20 species of larval and juvenile/adult fish, respectively. Among the larval fish community, Leuroglossus schmidti was the most abundant; total abundances except L. schmidti were low throughout the year; species richness of myctophids were low. Among the 20 species of juvenile/adult fish, larvae of only six species were collected; thus, most mesopelagic fish species do not use the Western Subarctic Gyre as their nursery. In the juvenile/adult fish community, Stenobrachius leucopsarus and Stenobrachius nannochir were abundant. Species diversity and total abundance in the warm seasons (summer and autumn) were higher than in the cold seasons (winter and spring). The decreasing of species diversity and total abundance during the cold seasons was probably affected by horizontal migrations of fish for reproduction toward the southern transition or subarctic slope areas. Stenobrachius leucopsarus was distributed at shallow depths with opportunistic diel vertical migration (DVM); in contrast Stenobrachius nannochir occurred at greater depths, without DVM. The distribution depths of S. leucopsarus during day and those of S. nannochir changed seasonally and synchronously; shallowest in autumn, deepest in spring.
Spatial distribution of northern shrimp Pandalus eous in the Sea of Japan in relation to the seafloor environment
Authors: Naito Taiga , Sakuma Kay , Iida Masaya
Published: October 2024

To explore relationships between spatial distributions of northern shrimp Pandalus eous and environmental factors along the coastline of Honshu Island in the Sea of Japan, we built delta-type two-step generalized additive models (delta-GAM) based on bottom trawl surveys conducted in 2013–2022. The models provide the first quantitative analysis of the species’ habitat, showing that its distribution is associated with bottom sediment type, depth, slope and topographic position index (TPI) alongside the effects of year and region. From the delta-GAM response plots, species habitat preferences in the Sea of Japan were estimated as follows: seafloor deeper than 283 m; muddy rather than sandy bottoms; gently sloped to flat bottoms (<0.8° in slope); and valleys rather than ridges (TPI < 0.9). These results were reviewed in detail along with previously reported distribution records of northern shrimp. Standardized density (s-density) per fishing grid cell (10′ square latitude–longitude mesh) estimated from the delta-GAM results indicated that this species is widely distributed on the continental slope along the coast of Honshu Island. To test plausibility of the s-density analysis, we compared s-density per fishing grid cell with nominal CPUE (kg per haul) per fishing grid cell based on official logbook data from large offshore trawl fisheries. The two were generally positively correlated by year, and the delta-GAM results were assumed to be fairly robust. Finally, potential fishing grounds were explored based on the delta-GAM results.
Impacts of early life adversity on the neurocircuitry of emotional memory in children
Authors: Oliver Katelyn I. , Stenson Anais , van Rooij Sanne J.H. , Johnson Colin B. , Ely Timothy D. , Powers Abigail , Minton Sean T. , Wiltshire Charis , Kim Ye Ji , Hinrichs Rebecca , Jovanovic Tanja , Stevens Jennifer S.
Published: October 2024

Similar to adults with posttraumatic stress disorder, children with early life adversity show bias in memory for negative emotional stimuli. However, it is not well understood how childhood adversity impacts mechanisms underlying emotional memory. N = 56 children (8–14 years, 48% female) reported on adverse experiences including potentially traumatic events and underwent fMRI while attending to emotionally pleasant, neutral, or negative images. Post-scan, participants completed a cued recall test to assess memory for these images. Emotional difference-in-memory (DM) scores were computed by subtracting negative or positive from neutral recall performance. All children showed enhancing effects of emotion on recall, with no effect of trauma load. However, children with less trauma showed a larger emotional DM for both positive and negative stimuli when amygdala or anterior hippocampal activity was higher. In contrast, highly trauma-exposed children demonstrated a lower emotional DM with greater amygdala or hippocampal activity. This suggested that alternative neural mechanisms might support emotional enhancement of encoding in children with greater trauma load. Whole-brain analyses revealed that right fusiform activity during encoding positively correlated with both trauma load and successful later recall of positive images. Therefore, highly trauma-exposed children may use alternative, potentially adaptive neural pathways via the ventral visual stream to encode positive emotional events.
Drought‐Rich Periods Are More Likely Than Flood‐Rich Periods in Brazil
Authors: Chagas Vinícius B. P. , Chaffe Pedro L. B. , Blöschl Günter
Published: October 2024

Streamflow exhibits persistent decadal variability; however, it is unclear if the magnitude and spatial extent of these variabilities are symmetric for droughts and floods. Here, we examine drought‐rich and flood‐rich periods in 319 streamflow gauges in Brazil from 1940 to 2020. Drought‐ and flood‐rich periods are detected by computing annual streamflow minima and maxima time series and using scan statistics to verify if events exceeding a threshold follow a Bernoulli process. We contrast streamflow time clustering with rainfall, evaporation, water abstraction, the Atlantic Multidecadal Oscillation (AMO), and the Pacific Decadal Oscillation (PDO). We detected a higher spatial frequency of drought‐ than flood‐rich periods. For 5‐year return period thresholds, drought‐rich periods are observed in 81% of the basins, 16.7 times the false positive rate (4.8%) and 4.7 times flood‐rich periods (17%). This asymmetry is linked with sharp increases in water abstractions since the 1990s and a higher prevalence of rainfall‐poor periods (41% of gauges) compared to rainfall‐rich (22% of gauges), which we interpret as being further amplified into drought‐rich periods due to an interannual persistence of water storage deficits. Brazil experienced a dry period until the 1960s, extensive flooding in the 1980s, and record low flows from the 2000s onward. Drought and flood‐rich periods are well aligned with rainfall clustering, water abstractions, the AMO and PDO. Droughts‐rich periods are more frequent in shorter time scales (several years to one decade) and flood‐rich periods in longer time scales (a few decades). Our findings highlight the nonlinearity and asymmetry of drought and flood change at decadal scales.
What Happens When Two Ruptures Collide?
Authors: Latour Soumaya , Passelègue François , Paglialunga Federica , Noël Corentin , Ampuero Jean‐Paul
Published: October 2024

We investigate the interaction between two rupture fronts as they propagate toward each other and ultimately collide. This phenomenon was observed during laboratory experiments conducted on poly methyl methacrylate. Subsequently, we used numerical simulations to elucidate key aspects of these observations and draw broader conclusions. Our findings indicate that the collision of the rupture fronts generates interface waves that propagate along the sliding interface at the Rayleigh wave speed. Additionally, the rupture fronts interact with the starting and stopping S‐wave phases radiated by the opposite rupture fronts, which can locally change their velocity and generate additional interface waves. We discuss the implications of these results for understanding earthquake source phenomena.
Solar Activity Dependence of Traveling Ionospheric Disturbance Amplitudes Using a Rapid‐Run Ionosonde in High Latitudes
Authors: Moges Samson T. , Kozlovsky Alexander , Sherstyukov Ruslan O. , Ulich Thomas
Published: October 2024

We investigated the amplitude of medium scale traveling ionospheric disturbances (MSTIDs, with periods 25–100 min) and their dependence on the solar activity using 16 years data of the rapid run‐ionosonde operating at high latitudes (N, Sodankylä, Finland). A deep learning neural network was applied to ionograms to extract critical frequency of the F2 region (foF2) with a 1 min time resolution. Then, we analyzed the relative amplitude of MSTIDs (i.e., foF2/foF2), which corresponds to the amplitude of atmospheric gravity waves (AGWs) causing MSTIDs. The amplitude of AGWs propagating upward increases with height due to the decreasing density of the air, and hmF2 varies depending on local time, seasonal and solar activity conditions. To account for this effect, we calculated a corrected MSTID amplitude by normalizing the relative amplitude for the air density at the hmF2. The corrected amplitudes show no clear dependence on F10.7 during winter (0–12 UT), equinox (20‐01 UT) and summer (19‐01 UT), while a positive dependence of corrected amplitudes on F10.7 was observed during winter and equinox, in 14–22 UT and 15–19 UT, respectively. Corresponding to the dependence behaviors of corrected and relative amplitudes, two likely mechanisms of MSTIDs, AGWs from the lower atmosphere and auroral sources, are inferred. Their subsequent roles in the solar activity dependence of MSTID amplitudes were separately discussed, although in reality, the observed dependence is complex and often involves several mechanisms together.
Formation of Standing Whistler Wave in Earth's Magnetosheath
Authors: Wang Yang , Zhong Jun , Lee Lou‐Chuang , He Jiansen , Zhang Hui , Rong Zhaojin , Wei Yong
Published: October 2024

The dispersion of shock is universal in various media, and in plasmas, standing whistler waves represent the dispersion of collisionless shocks. These standing whistler waves are usually observed upstream of low Mach number planetary bow shocks and interplanetary shocks. However, our understanding of the plasma behavior and electric field properties within these waves remains limited. Using conjoint THEMIS and Magnetospheric Multiscale (MMS) observations, we report the first observation of standing whistler wave upstream of a fast shock in Earth's magnetosheath resulting from the interaction between a solar wind tangential discontinuity and the bow shock. High‐resolution MMS measurements provide unprecedented insights into these waves, characterizing their circular polarization, near‐parallel propagation to the shock normal, and fixed phase relative to the shock ramp. The observed field and particle characteristics are discussed in detail.
Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds
Authors: Ovchinnikov Mikhail , Ma Po‐Lun , Kaul Colleen M. , Pressel Kyle G. , Huang Meng , Shpund Jacob , Tang Shuaiqi
Published: October 2024

In numerical atmospheric models that treat cloud and rain droplet populations as separate condensate categories, precipitation initiation in warm clouds is often represented by an autoconversion rate , which is the rate of formation of new rain droplets through the collisions of cloud droplets. Being a function of the cloud droplet size distribution (DSD), the local is commonly parameterized as a function of DSD moments: cloud droplet number and mass concentrations. When applied in a large‐scale model, the grid‐mean must also include a correction, or enhancement factor, to account for the horizontal variability of the cloud properties across the model grid. In this study, we evaluate the Au representation in the Energy Exascale Earth System Model version 2 (E3SMv2) climate model using large‐eddy simulations (LES), which explicitly resolve cloud droplet spectra, and therefore the local , as well as its spatial variability. The analysis of an ensemble of warm low‐level cloud cases shows that the E3SMv2 formulation represents the reasonably well compared to the horizontally averaged explicitly computed rate from LES. The agreement, however, comes from a combination of an underestimated E3SM‐tuned local rate and an overestimated subgrid cloud variability enhancement factor. The latter bias is traced to neglecting the horizontal variability of and its co‐variability with in parameterizing the grid‐mean .
Aperture Field Anisotropy Control on Immiscible Displacement Patterns in Rough Fractures
Authors: Xing Kun , Shi Xiaoqing , Yang Zhibing , Kang Xueyuan , Qiang Siyuan , Wu Jichun
Published: October 2024

Two‐phase flow displacement in rock fractures is crucial for various subsurface mass transfer processes and engineering applications. In fractures, the displacement of a less viscous fluid by a more viscous one (i.e., viscosity ratio M > 1) involves viscous forces help stabilizing the displacement front in presence of capillary pressure fluctuations. Although previous studies have reported displacement patterns in isotropic fractures, the impact of anisotropic fractures on displacement patterns has not been systematically examined. In this study, we conducted flow‐rate‐controlled drainage experiments to examine how anisotropic aperture fields affect displacement patterns. We observed the transition of displacement patterns from capillary fingering (CF) to crossover zone (CZ) to compact displacement pattern (CD) based on variations in transverse pore‐filling event (TPFE) frequency, which characterizes the competition between capillary and viscous forces. Increasing aperture correlation length in the transverse direction leads to increased TPFE frequency at a low flow rate, destabilizing displacement front. While the increasing aperture correlation length in longitudinal direction suppressed TPFE frequency, stabilizing displacement front. Therefore, the critical capillary number (CaCF‐CZ), which indicates the onset of the CF‐CZ transition, decreases as the aperture field varies from transversely to longitudinally correlated. At high flow rates, TPFEs almost disappeared, indicating that anisotropy did not affect CZ‐CD transition (CaCZ‐CD). Furthermore, we modified theoretical models of CaCF‐CZ and CaCZ‐CD by incorporating the aperture anisotropy factor, achieving a good fit with the experimental data. This study demonstrates the critical role of aperture field anisotropy in controlling two‐phase displacement patterns and provides a theoretical framework for predicting multiphase flow behavior in natural fractures.