bluuebunny/crossref_metadata_2025_split huggingface dataset:
Senescent skeletal muscle fibroadipogenic progenitors recruit and promote M2 polarization of macrophages
Authors: Zhang Xu , Ng Yan Er , Chini Lucas C. S. , Heeren Amanda A. , White Thomas A. , Li Hao , Huang Haojie , Doolittle Madison L. , Khosla Sundeep , LeBrasseur Nathan K. 
Published: December 2023

AbstractSenescent cells compromise tissue structure and function in older organisms. We recently identified senescent fibroadipogenic progenitors (FAPs) with activated chemokine signaling pathways in the skeletal muscle of old mice, and hypothesized these cells may contribute to the age‐associated accumulation of immune cells in skeletal muscle. In this study, through cell–cell communication analysis of skeletal muscle single‐cell RNA‐sequencing data, we identified unique interactions between senescent FAPs and macrophages, including those mediated by Ccl2 and Spp1. Using mouse primary FAPs in vitro, we verified increased expression of Ccl2 and Spp1 and secretion of their respective proteins in the context of both irradiation‐ and etoposide‐induced senescence. Compared to non‐senescent FAPs, the medium of senescent FAPs markedly increased the recruitment of macrophages in an in vitro migration assay, an effect that was mitigated by preincubation with antibodies to either CCL2 or osteopontin (encoded by Spp1). Further studies demonstrated that the secretome of senescent FAPs promotes polarization of macrophages toward an M2 subtype. These data suggest the unique secretome of senescent FAPs may compromise skeletal muscle homeostasis by recruiting and directing the behavior of macrophages.
Maltreatment type differences in cortisol stress response trajectories across adolescence
Authors: Peckins Melissa K. , Negriff Sonya , Gordis Elana B. , Zhen Anna , Susman Elizabeth J. 
Published: December 2023

AbstractThis study examined cortisol stress response trajectories across adolescence in 454 maltreated and comparison youth recruited from Los Angeles County between 2002 and 2005 (66.7% maltreated; 46.7% girls; 39.0% Latino; 37.7% Black; 12.3% Mixed or Biracial; 11.0% White; Mage = 10.9 years, SD = 1.2). Adolescents' peak activation and cortisol reactivity and recovery slopes following the Trier Social Stress Test for Children were calculated at four waves, then used to model peak activation and cortisol reactivity and recovery trajectories arrayed by age. Maltreated youth had blunted cortisol reactivity at age 9 relative to comparison youth (b = −.19, p = .02). Sexually and physically abused youth showed blunted cortisol reactivity and recovery trajectories relative to emotionally abused and neglected youth.
Cardiovascular and renal outcomes with varying degrees of kidney disease in high‐risk people with type 2 diabetes: An epidemiological analysis of data from the AMPLITUDE‐O trial
Authors: Gerstein Hertzel C. , Mian Rajibul , Ramasundarahettige Chinthanie , Branch Kelley R. H. , Del Prato Stefano , Lam Carolyn S. P. , Lopes Renato D. , Pratley Richard , Rosenstock Julio , Sattar Naveed 
Published: December 2023

AbstractAimsTo estimate the incidence of a major adverse cardiovascular event (MACE) and a composite kidney outcome across estimated glomerular filtration rate (eGFR) and urine albumin‐to‐creatinine ratio (UACR) levels, and to determine whether efpeglenatide's effect varies with these indices.Materials and MethodsAMPLITUDE‐O trial data were used to estimate the relationship of eGFR, UACR, and Kidney Disease Improving Global Outcomes (KDIGO) category to the hazard of MACE and the kidney composite. Interactions on these outcomes between eGFR and the UACR, and between each of these variables and efpeglenatide were also assessed.ResultsBaseline eGFR and UACR were available for 3983 participants (mean age 64.5 years). During a median follow‐up of 1.8 years, the hazards of MACE and the kidney composite for the lowest versus highest eGFR third were 1.6 (95% confidence interval [CI] 1.2, 2.2) and 2.3 (95% CI 1.9, 2.8), respectively. The hazards for the highest versus the lowest UACR third were 2.3 (95% CI 1.8, 3.1) and 18.0 (95% CI 12.7, 25.5), respectively, and for the high‐ versus low‐risk KDIGO categories the hazards were 2.4 (95% CI 1.8, 3.1) and 16.0 (95% CI 11.6, 22.0), respectively. eGFR and UACR were independent determinants of both outcomes, but negatively interacted with each other for the kidney outcome. Efpeglenatide's effect on both outcomes did not vary with any kidney disease measure (all interaction p values ≥0.26).ConclusionsIn high‐risk people with diabetes, eGFR, UACR, and KDIGO category have different relationships to incident cardiovascular and kidney outcomes. The beneficial effect of efpeglenatide on these outcomes is independent of kidney‐related risk category.
Shaping the rules of the game: How political capabilities affect financial performance
Authors: Richter Philipp C. , Kapteina Benedikt D. S. 
Published: December 2023

AbstractThis study contributes to the growing body of research that examines how political capabilities affect firms' financial performance. Although research has found mixed results for the state and local levels of the governance hierarchy, our study is the first that examines this important relationship at the supranational level. First, by building on the resource dependency theory and the capabilities‐based view, we argue for a positive effect of the relationship. Second, considering that firms become politically active when their industry environment is uncertain, we argue environmental dynamism and munificence moderate this effect. Our findings support the hypothesis that political capabilities are positively related to firm profitability. This effect is magnified when firms operate in industries with high market dynamism. However, we find no effect whereby higher levels of munificence negatively moderate this link.
Neurophotonic methods in approach to in vivo animal epileptic models: Advantages and limitations
Authors: Tsytsarev Vassiliy , Sopova Julia V. , Leonova Elena I. , Inyushin Mikhail , Markina Alisa A. , Chirinskaite Angelina V. , Volnova Anna B. 
Published: December 2023

AbstractNeurophotonic technology is a rapidly growing group of techniques that are based on the interactions of light with natural or genetically modified cells of the neural system. New optical technologies make it possible to considerably extend the tools of neurophysiological research, from the visualization of functional activity changes to control of brain tissue excitability. This opens new perspectives for studying the mechanisms underlying the development of human neurological diseases. Epilepsy is one of the most common brain disorders; it is characterized by recurrent seizures and affects >1% of the world's population. However, how seizures occur, spread, and terminate in a healthy brain is still unclear. Therefore, it is extremely important to develop appropriate models to accurately explore the causal relationship of epileptic activity. The use of neurophotonic technologies in epilepsy research falls into two broad categories: the visualization of neural epileptic activity, and the direct optical influence on neurons to induce or suppress epileptic activity. An optogenetic variant of the classical kindling model of epileptic seizures, in which activatable cells are genetically defined, is called optokindling. Research is also underway concerning the application of neurophotonic techniques for suppressing epileptic activity, aiming to bring these methods into clinical practice. This review aims to systematize and describe new approaches that use combinations of different neurophotonic methods to work with in vivo models of epilepsy. These approaches overcome many of the shortcomings associated with classical animal models of epilepsy and thus increase the effectiveness of developing new diagnostic methods and antiepileptic therapy.
Association between dynapenia and cognitive decline in community‐dwelling older Japanese adults: The IRIDE Cohort Study
Authors: Hatanaka Sho , Sasai Hiroyuki , Shida Takashi , Osuka Yosuke , Kojima Narumi , Ohta Takahisa , Abe Takumi , Yamashita Mari , Obuchi Shuichi P , Ishizaki Tatsuro , Fujiwara Yoshinori , Awata Shuichi , Toba Kenji ,   IRIDE Cohort Study investigators
Published: December 2023

AimMuscle mass and strength correlate with cognitive function; however, it remains unclear whether dynapenia (i.e., muscle weakness with preserved muscle mass) is relevant. This study aimed to explore whether dynapenia is associated with global cognitive function in community‐dwelling older Japanese adults.MethodsThis cross‐sectional study used data from the Integrated Research Initiative for Living Well with Dementia Cohort Study, which pooled data from five community‐based geriatric cohorts. Dynapenia was defined as muscle weakness without muscle mass loss according to the Asian Working Group for Sarcopenia criteria. Cognitive function was assessed using the Mini‐Mental State Examination (MMSE). An ordered logistic regression analysis was conducted with dynapenia as the exposure and with cognitive decline stages, defined as an MMSE score of 27–30 for normal cognition, 24–26 for possible cognitive decline, and <24 for cognitive decline, as the outcome, stratified by sex and adjusted for age, muscle mass, education, alcohol consumption, smoking habits, living alone, and non‐communicable diseases.ResultsWe analyzed data for 3338 participants (2162 female) with preserved muscle mass. Of these, 449 (13.5%) had dynapenia, and 79 (2.4%) exhibited cognitive decline. Multivariate odds ratios (95% confidence interval) for cognitive decline among those with dynapenia, compared with those without dynapenia, were 1.51 (1.02–2.24) for males and 2.08 (1.51–2.86) for females.ConclusionsMuscle weakness is associated with cognitive decline, even in individuals with preserved muscle mass. Further studies are needed to better understand the association between muscle weakness and cognitive decline over time in order to develop dementia prevention strategies for those with dynapenia. Geriatr Gerontol Int 2024; 24: 123–129.
Algorithmic approach toward diagnosis of patients with congenital photosensitivity disorders and review of literature
Authors: Patro Nibedita , Sathishkumar Dharshini , Panda Maitreyee , Mahajan Rahul ,   Members of SIG Pediatric Dermatology and IADVL Academy
Published: December 2023

AbstractThe congenital photosensitivity disorders present as cutaneous signs and symptoms secondary to photosensitivity, extracutaneous manifestations, and a predisposition to malignancy. Diagnosis of these conditions mainly depend on clinical findings as the molecular analysis is not always feasible. A review of all the related articles collected after a thorough literature search using keywords, “congenital AND photosensitivity NOT acquired” and the individual diseases was done. A total of 264 articles were included in the review. An algorithm for diagnosis of the different congenital photosensitivity disorders based on the various clinical presentations has been proposed. An early suspicion and diagnosis of the different congenital photosensitivity disorders is the cornerstone behind prompt institution of prevention and treatment, and decreasing the associated morbidity.
The Ontology and Aesthetics of Genre
Authors: Malone Evan 
Published: December 2023

AbstractGenres inform our appreciative practices. What it takes for a work to be a good work of comedy is different than what it takes for a work to be a good work of horror, and a failure to recognize this will lead to a failure to appreciate comedies or works of horror particularly well. Likewise, it is not uncommon to hear people say that a film or novel is a good work, but not a good work of x (where x is the genre of that work). A work can be good all things considered, but genre membership provides us with an additional set of evaluative criteria over and above those of the medium, which colors how we interpret and appreciate the work. Given this importance, it is not surprising that philosophers of art have been interested in providing an account of what, exactly, a genre is. Despite this interest, there is not widespread agreement about what it takes for something to be a genre, nor what kinds of considerations are relevant in determining whether a work is a member of that genre. Beyond this, we might also want to know to what degree we ought to consider genre in evaluating a work of art and why it should matter at all. Here, I explore the variety of recent theories that philosophers have taken up on the topic of genre and why we should ultimately think of genres as artistic practices rather than the alternatives.
A reconsideration of group differences in social psychology: Towards a critical intersectional approach
Authors: Sabik Natalie J. , Versey H. Shellae 
Published: December 2023

AbstractSocial psychology has focused on patterns of inequality (e.g., discrimination, stereotyping, stigma, intergroup relations) that underlie well‐documented disparities, often without engaging with the structural and intersectional patterns underlying these experiences. In this paper, we draw on intersectionality theory and research to illustrate how approaches to studying inequity and disparities in social psychology reflect a Western perspective, and structures work to uphold the status quo. It is argued that structures within the research process need to be made visible, both in terms of how research questions are framed, as well as on the representation within institutions responsible for producing and disseminating work addressing disparities. Engaging with intersectionality theory and research, we suggest four strategies that address individual and structural approaches to better position social psychology to contribute meaningfully to the reduction of disparate outcomes affecting minoritized individuals and groups. We suggest (a) examining and addressing the sources of inequality (e.g., addressing racism rather than the effects of racism), (b) carefully attending to language and framing in both the causes and impact of inequality and discrimination to shift the status quo in social psychology research and in society, (c) addressing representation within social psychology research, namely in critically examining representation and assumptions made about research samples, and (d) addressing representation in the “structure” of institutions. We offer these approaches, informed by intersectional theory, as tangible strategies to address some of the structural issues underlying inequality and disparities that can be addressed within social psychology.
The Electrification of Railways: An Imperative Need for the Selection of a System for Universal Use
Authors: Westinghouse George 
Published: December 2023

Abstract
As an illustration of the wonders of the laws of nature, few inventions or discoveries with which we are familiar can excel the static transformer of the electrical energy of alternating currents of high voltage into the equivalent energy at a lower voltage.
To have discovered how to make an inert mass of metal capable of transforming alternating currents of 100,000 volts into currents of any required lower voltage with a loss of only a trifle of the energy so transformed, would have been to achieve enduring fame. The facts divide this honor among a few, the beneficiaries will be tens of millions.
Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture
Authors: Helmich Harrison F. , Doherty Charles J. , Costello Donald H. , Kutzer Michael D. M. 
Published: December 2023

Abstract
The United States Navy (USN) intends to increase the amount of uncrewed aircraft in a carrier air wing. To support this increase, carrier-based uncrewed aircraft will be required to have some level of autonomy as there will be situations where a human cannot be in/on the loop. However, there is no existing and approved method to certify autonomy within Naval Aviation. In support of generating certification evidence for autonomy, the United States Naval Academy (USNA) has created a training and evaluation system (TES) to provide quantifiable metrics for feedback performance in autonomous systems. The preliminary use case for this work focuses on autonomous aerial refueling. Prior demonstrations of autonomous aerial refueling have leveraged a deep neural network (DNN) for processing visual feedback to approximate the relative position of an aerial refueling drogue. The training and evaluation system proposed in this work simulates the relative motion between the aerial refueling drogue and feedback camera system using industrial robotics. Ground-truth measurements of the pose between the camera and drogue are measured using a commercial motion capture system. Preliminary results demonstrate calibration methods providing ground-truth measurements with millimeter precision. Leveraging this calibration, the proposed system is capable of providing large-scale datasets for DNN training and evaluation against a precise ground truth.
Draft genome sequences of eight bacterial isolates from
Pisum sativum
leaf surfaces
Authors: Smee Melanie R. , Herr Kathryn L. , Abdul-Khaliq Sakinah , Cadet Chris E. A. , Hendry Tory A. 
Published: December 2023

ABSTRACT

Bacterial communities in the phyllosphere, the above-ground parts of plants, are diverse yet understudied. These bacteria are important for plant health and also for inter-kingdom interactions with beneficial and pest insect species. Here, we present draft genomes of eight culturable bacterial isolates from leaf surfaces in the
Pisum sativum
phyllosphere.
Supplemental Material: Evolution of an earthquake-induced landslide complex in the South Island of New Zealand: How fault damage zones and seismicity contribute to slope failures
Authors: Singeisen Corinne , al. et 
Published: December 2023

<p>Ground model provides a 3-D model of the landslide including the two geophysical profiles and interpretation of landslide failure mechanism. The model can be viewed using the free desktop application Leapfrog viewer, which can be downloaded from <a href="https://www.seequent.com/products-solutions/leapfrog-viewer/" target="_blank"><u>https://www.seequent.com/products-solutions/leapfrog-viewer/.</u></a> </p>
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors Using Machine Learning
Authors: Yuan Ying , Apruzzese Giovanni , Conti Mauro 
Published: December 2023

Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks that break every ML model or defenses that withstand most attacks. Unfortunately, little consideration is given to the actual
feasibility
of the attack or the defense. Moreover, adversarial samples are often crafted in the “feature-space,” making the corresponding evaluations of questionable value. Simply put, the current situation does not allow one to estimate the actual threat posed by adversarial attacks, leading to a lack of secure ML systems.

We aim to clarify such confusion in this article. By considering the application of ML for Phishing Website Detection (PWD), we formalize the “evasion-space,” in which an adversarial perturbation can be introduced to fool an ML-PWD—demonstrating that even perturbations in the “feature-space” are useful. Then, we propose a realistic threat model describing evasion attacks against ML-PWD that are cheap to stage, and hence intrinsically more attractive for real phishers. After that, we perform the first statistically validated assessment of state-of-the-art ML-PWD against 12 evasion attacks. Our evaluation shows (i) the true efficacy of evasion attempts that are more likely to occur; and (ii) the impact of perturbations crafted in different evasion-spaces; our realistic evasion attempts induce a statistically significant degradation (3–10% at
p
< 0.05), and their cheap cost makes them a subtle threat. Notably, however, some ML-PWD are immune to our most realistic attacks (
p
= 0.22).

Finally, as an additional contribution of this journal publication, we are the first to propose and empirically evaluate the intriguing case wherein an attacker introduces perturbations in multiple evasion-spaces
at the same time
. These new results show that simultaneously applying perturbations in the problem- and feature-space can cause a drop in the detection rate from 0.95 to 0.

Our contribution paves the way for a much-needed re-assessment of adversarial attacks against ML systems for cybersecurity.
Characters evolution of Encyclia (Laeliinae-Orchidaceae) reveals a complex pattern not phylogenetically determined: insights from macro- and micromorphology
Authors: Lipińska Monika M. , Olędrzyńska Natalia , Dudek Magdalena , Naczk Aleksandra M. , Łuszczek Dorota , Szabó Peter , Speckmaier Manfred , Szlachetko Dariusz L. 
Published: December 2023

AbstractEncyclia is the second-largest genus in the neotropical subtribe Laeliinae (Orchidaceae) and has more than 150 species, which are characterized by fairly consistent flower morphology. Its taxonomy and species boundaries, however, seem to be still under debate. In the present study, we first examined the lip micromorphology of 61 species of Encyclia sensu stricto. We correlated our results with external flower morphology and phylogenetic analyses performed on a combined dataset that included both nuclear (ITS, Xdh, PhyC) and plastid markers (ycf1, rpl32, and trnL-trnF). Phylogenetic reconstruction showed that Encyclia sensu stricto species form a coherent, monophyletic group. However, it is difficult to determine the relationships between the different groups within one larger clade. The groups all form distinct lineages that evolved from a common ancestor. The UPGMA cluster analysis for the seven qualitative micromorphological features clearly divides the genus into two main groups, the larger of which is further subdivided into two subgroups. None of these, however, overlap with any of the phylogeographic units distinguished in previously published papers or in presented article. It is worth noting that the groups resulting from the UPGMA analysis cannot be defined by macromorphological features. The pattern of similarities between species, taking into account both macro- and micromorphological features, is eminently mosaic in nature, and only a multifaceted approach can explain this enigmatic group.