bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wormhole effective mass and gravitational waves by binary systems containing wormhole
Authors: Kim Sung-Won 
Published: February 2024

AbstractWe considered the generation of gravitational waves by the binary system associated with a wormhole. In the Newtonian limit, the gravitational potential of a wormhole requires the effective mass of the wormhole taking into account radial tension effects. This definition allows us to derive gravitational wave production in homogeneous and heterogeneous binary systems. Therefore, we studied gravitational waves generation by orbiting wormhole–wormhole and wormhole–black hole binary systems before coalescence. Cases involving negative mass require more careful handling. We also calculated the energy loss to gravitational radiation by a particle orbiting around the wormhole and by a particle moving straight through the wormhole mouth, respectively.
Efficiency and energy resolution of gamma spectrometry system with HPGe detector depending on variable source-to-detector distances
Authors: Hafızoğlu Nurgül 
Published: February 2024

AbstractThe high-purity germanium (HPGe) detectors, which are one of the basic instruments in the experimental nuclear physics, are widely used in many areas such as the environmental radioactivity, neutron activation analysis and geology. This study reports the results of energy calibration, energy resolution and efficiency calculations for an HPGe detector (ORTEC), which are necessary to determine the quality of the measurement results obtained from a gamma spectrometry system. For the purpose of examining the effects of gamma-ray energy and the distance between the source and the detector on the detector efficiency, measurements were made at six different source–detector distances for a total of about fourteen energies of the point sources (133Ba, 109Cd, 137Cs, 57Co, 60Co, 152Eu, 22Na, and 65Zn). Basic data were obtained with this detector system for later studies.
Discovery and Preclinical Activity of BMS-986351, an Antibody to SIRPα That Enhances Macrophage-mediated Tumor Phagocytosis When Combined with Opsonizing Antibodies
Authors: Chan Henry , Trout Christina V. , Mikolon David , Adams Preston , Guzman Roberto , Mavrommatis Konstantinos , Abbasian Mahan , Hadjivassiliou Haralambos , Dearth Lawrence , Fox Brian A. , Sivakumar Pallavur , Cho Ho , Hariharan Kandasamy 
Published: February 2024

Abstract

In normal cells, binding of the transmembrane protein CD47 to signal regulatory protein-α (SIRPα) on macrophages induces an antiphagocytic signal. Tumor cells hijack this pathway and overexpress CD47 to evade immune destruction. Macrophage antitumor activity can be restored by simultaneously blocking the CD47-SIRPα signaling axis and inducing a prophagocytic signal via tumor-opsonizing antibodies. We identified a novel, fully human mAb (BMS-986351) that binds SIRPα with high affinity. BMS-986351 demonstrated broad binding coverage across SIRPα polymorphisms and potently blocked CD47-SIRPα binding at the CD47 binding site in a dose-dependent manner. In vitro, BMS-986351 increased phagocytic activity against cell lines from solid tumors and hematologic malignancies, and this effect was markedly enhanced when BMS-986351 was combined with the opsonizing antibodies cetuximab and rituximab. A phase I dose-escalation/-expansion study of BMS-986351 for the treatment of advanced solid and hematologic malignancies is underway (NCT03783403).

Significance:
Increasing the phagocytotic capabilities of tumor-associated macrophages by modulating macrophage–tumor cell surface signaling via the CD47-SIRPα axis is a novel strategy. Molecules targeting CD47 have potential but its ubiquitous expression necessitates higher therapeutic doses to overcome potential antigen sink effects. The restricted expression pattern of SIRPα may limit toxicities and lower doses of the SIRPα antibody BMS-986351 may overcome target mediated drug disposition while maintaining the desired pharmacology.
The impact of incidental anxiety on the neural signature of mentalizing
Authors: Chang Li-Ang , Engelmann Jan B. 
Published: February 2024

Abstract
While the effects of anxiety on various cognitive processes, including memory, attention, and learning, have been relatively well documented, the neurobiological effects of anxiety on social cognitive processes remain largely unknown. We address this gap using threat-of-shock to induce incidental anxiety while participants performed two false-belief tasks, a standard and an economic-games version. During belief formation and belief inferences, regions in a canonical social cognition network showed activation reflecting mentalizing, including the temporoparietal junction (TPJ), precuneus, and dorsomedial prefrontal cortex (dmPFC). At the same time, we found threat-related suppression of social cognition regions during belief inferences. A conjunction analysis confirmed that a network of regions was simultaneously engaged during mentalizing and suppressed by anxiety: bilateral TPJ, bilateral inferior frontal gyrus (IFG), and putamen. We examined how threat impacted the connectivity between these seed regions and its targets. During belief formation, we found that threat suppressed the connectivity between the precuneus and two key mentalizing nodes, the dmPFC and right TPJ. Moreover, during belief inferences, threat specifically suppressed belief-based connectivity between putamen and its targets in intraparietal sulcus (IPS) and dlPFC. Dispositional distress significantly modulated threat-related suppression of connectivity between the left TPJ and left IPS. Our results indicate that social cognitive processes rely on support from other large-scale networks, such as the reward and attentional systems, and that these network interactions are disrupted under incidental and dispositional anxiety.
Electrical brain activity during human walking with parametric variations in terrain unevenness and walking speed
Authors: Liu Chang , Downey Ryan J. , Salminen Jacob S. , Arvelo Rojas Sofia , Richer Natalie , Pliner Erika M. , Hwang Jungyun , Cruz-Almeida Yenisel , Manini Todd M. , Hass Chris J. , Seidler Rachael D. , Clark David J. , Ferris Daniel P. 
Published: February 2024

AbstractMobile brain imaging with high-density electroencephalography (EEG) can provide insight into the cortical processes involved in complex human walking tasks. While uneven terrain is common in the natural environment and poses challenges to human balance control, there is limited understanding of the supraspinal processes involved with traversing uneven terrain. The primary objective of this study was to quantify electrocortical activity related to parametric variations in terrain unevenness for neurotypical young adults. We used high-density EEG to measure brain activity when 32 young adults walked on a novel custom-made uneven terrain treadmill surface with four levels of difficulty at a walking speed tailored to each participant. We identified multiple brain regions associated with uneven terrain walking. Alpha (8 - 13 Hz) and beta (13 - 30 Hz) spectral power decreased in the sensorimotor and posterior parietal areas with increasing terrain unevenness while theta (4 - 8 Hz) power increased in the mid/posterior cingulate area with terrain unevenness. We also found that within stride spectral power fluctuations increased with terrain unevenness. Our secondary goal was to investigate the effect of parametric changes in walking speed (0.25 m/s, 0.5 m/s, 0.75 m/s, 1.0 m/s) to differentiate the effects of walking speed from uneven terrain. Our results revealed that electrocortical activities only changed substantially with speed within the sensorimotor area but not in other brain areas. Together, these results indicate there are distinct cortical processes contributing to the control of walking over uneven terrain versus modulation of walking speed on smooth, flat terrain. Our findings increase our understanding of cortical involvement in an ecologically valid walking task and could serve as a benchmark for identifying deficits in cortical dynamics that occur in people with mobility deficits.
Understanding Cortical Streams from a Computational Perspective
Authors: Han Zhixian , Sereno Anne B. 
Published: February 2024

Abstract
The two visual cortical streams hypothesis, which suggests object properties (what) are processed separately from spatial properties (where), has a longstanding history, and much evidence has accumulated to support its conjectures. Nevertheless, in the last few decades, conflicting evidence has mounted that demands some explanation and modification. For example, existence of (1) shape activities (fMRI) or shape selectivities (physiology) in dorsal stream, similar to ventral stream; likewise, spatial activations (fMRI) or spatial selectivities (physiology) in ventral stream, similar to dorsal stream; (2) multiple segregated subpathways within a stream. In addition, the idea of segregation of various aspects of multiple objects in a scene raises questions about how these properties of multiple objects are then properly re-associated or bound back together to accurately perceive, remember, or make decisions. We will briefly review the history of the two-stream hypothesis, discuss competing accounts that challenge current thinking, and propose ideas on why the brain has segregated pathways. We will present ideas based on our own data using artificial neural networks (1) to reveal encoding differences for what and where that arise in a two-pathway neural network, (2) to show how these encoding differences can clarify previous conflicting findings, and (3) to elucidate the computational advantages of segregated pathways. Furthermore, we will discuss whether neural networks need to have multiple subpathways for different visual attributes. We will also discuss the binding problem (how to correctly associate the different attributes of each object together when there are multiple objects each with multiple attributes in a scene) and possible solutions to the binding problem. Finally, we will briefly discuss problems and limitations with existing models and potential fruitful future directions.
Neural Signatures of Competition between Voluntary and Involuntary Influences over the Focus of Attention in Visual Working Memory
Authors: Ding Yun , Postle Bradley R. , van Ede Freek 
Published: February 2024

Abstract
Adaptive behavior relies on the selection and prioritization of relevant sensory inputs from the external environment as well as from among internal sensory representations held in working memory. Recent behavioral evidence suggests that the classic distinction between voluntary (goal-driven) and involuntary (stimulus-driven) influences over attentional allocation also applies to the selection of internal representations held in working memory. In the current EEG study, we set out to investigate the neural dynamics associated with the competition between voluntary and involuntary control over the focus of attention in visual working memory. We show that when voluntary and involuntary factors compete for the internal focus of attention, prioritization of the appropriate item is delayed—as reflected both in delayed gaze biases that track internal selection and in delayed neural beta (15–25 Hz) dynamics that track the planning for the upcoming memory-guided manual action. We further show how this competition is paralleled—possibly resolved—by an increase in frontal midline theta (4–8 Hz) activity that, moreover, predicts the speed of ensuing memory-guided behavior. Finally, because theta increased following retrocues that effectively reduced working-memory load, our data unveil how frontal theta activity during internal attentional focusing tracks demands on cognitive control over and above working-memory load. Together, these data yield new insight into the neural dynamics that govern the focus of attention in visual working memory, and disentangle the contributions of frontal midline theta activity to the processes of control versus retention in working memory.
Multiplexed Levels of Cognitive Control through Delta and Theta Neural Oscillations
Authors: Pagnotta Mattia F. , Riddle Justin , D'Esposito Mark 
Published: February 2024

Abstract
Cognitive control allows behavior to be guided according to environmental contexts and internal goals. During cognitive control tasks, fMRI analyses typically reveal increased activation in frontal and parietal networks, and EEG analyses reveal increased amplitude of neural oscillations in the delta/theta band (2–3, 4–7 Hz) in frontal electrodes. Previous studies proposed that theta-band activity reflects the maintenance of rules associating stimuli to appropriate actions (i.e., the rule set), whereas delta synchrony is specifically associated with the control over the context for when to apply a set of rules (i.e., the rule abstraction). We tested these predictions using EEG and fMRI data collected during the performance of a hierarchical cognitive control task that manipulated the level of abstraction of task rules and their set-size. Our results show a clear separation of delta and theta oscillations in the control of rule abstraction and of stimulus–action associations, respectively, in distinct frontoparietal association networks. These findings support a model by which frontoparietal networks operate through dynamic, multiplexed neural processes.
Electroencephalography Searchlight Decoding Reveals Person- and Place-specific Responses for Semantic Category and Familiarity
Authors: Bruera Andrea , Poesio Massimo 
Published: February 2024

Abstract
Proper names are linguistic expressions referring to unique entities, such as individual people or places. This sets them apart from other words like common nouns, which refer to generic concepts. And yet, despite both being individual entities, one's closest friend and one's favorite city are intuitively associated with very different pieces of knowledge—face, voice, social relationship, autobiographical experiences for the former, and mostly visual and spatial information for the latter. Neuroimaging research has revealed the existence of both domain-general and domain-specific brain correlates of semantic processing of individual entities; however, it remains unclear how such commonalities and similarities operate over a fine-grained temporal scale. In this work, we tackle this question using EEG and multivariate (time-resolved and searchlight) decoding analyses. We look at when and where we can accurately decode the semantic category of a proper name and whether we can find person- or place-specific effects of familiarity, which is a modality-independent dimension and therefore avoids sensorimotor differences inherent among the two categories. Semantic category can be decoded in a time window and with spatial localization typically associated with lexical semantic processing. Regarding familiarity, our results reveal that it is easier to distinguish patterns of familiarity-related evoked activity for people, as opposed to places, in both early and late time windows. Second, we discover that within the early responses, both domain-general (left posterior-lateral) and domain-specific (right fronto-temporal, only for people) neural patterns can be individuated, suggesting the existence of person-specific processes.
Group Identity and Inter-Ethnic Relations in the Western Niger Delta of Nigeria
Authors: Okpevra Uwomano Benjamin 
Published: February 2024

Abstract
In this paper, the author paints the socio-political canvass that coloured the motif of colonial and post-colonial political arrangement that characterised the western Niger Delta of Nigeria. This paper underscores the Isoko minority group’s struggle for identity as a distinct ethnic group from their Urhobo neighbour in post-colonial times. It is the aim of this work to try to bring light on the history of minority group’s struggle for establishing their own identity and political domain within the framework of sub-nationalism in the Nigerian state using the appropriate theoretical frameworks. The study deployed the historical and analytical methods, with primary and secondary sources to achieve its aim. The paper shows that the identity of the Isoko Nationalism was not clearly established, until after 1963 and even as late as the period of the Nigerian Civil War, the separate identity of the Isoko ethnic group was not clearly established in some circles, until crude oil economy brought them to the limelight after the end of the Nigerian civil war. The author deposes that to appreciate ethnic relations across time and space in relation to contemporary political circumstances, from the perspective of both majority and minority status and in relation to different ethnic out-groups. Finally, the paper shows that understanding the patterns of intergroup relations as exemplified by the Isoko and their neighbours in the Niger Delta region of Nigeria is a necessary prelude to the appreciation of the phenomena in the trajectory of developments that had serious implications on the evolution and trend of the Isoko as an identifiable distinct ethnic group.
Mid-Cretaceous wood of Waihere Bay, Pitt Island, Chatham Islands, New Zealand
Authors: Vanner Mathew R. , Conran John G. , Larcombe Matthew J. , Lee Daphne E. 
Published: February 2024

Summary
The mid-Cretaceous is an important time for the diversification of forests globally, including the rise to dominance of the angiosperms and the beginning of the isolation of Zealandia. In New Zealand, little information is available on the mid-Cretaceous xyloflora. New specimens of fossil wood from the mid-Cretaceous Tupuangi Formation were collected from Waihere Bay, Pitt Island, Chatham Islands, of which 16 well-preserved samples were identified, representing Araucariaceae (Agathoxylon, 5 samples), Cupressaceae (Taxodioxylon and Cupressinoxylon, one sample each), Podocarpaceae (Protophyllocladoxylon, one sample), and the ‘Group B’ and ‘Group C’ Mesozoic conifers (four samples each) defined in Bamford & Philippe (2008). Of these, only Taxodioxylon had been identified previously from the Tupuangi Formation. Two new species are erected, Cupressoxylon dianneae sp. nov. and Protophyllocladoxylon jacobusii sp. nov. These records are important for understanding the mid-Cretaceous flora of New Zealand and the history of the unique modern flora of New Zealand.
Evaluation of Multisource Datasets in Characterizing Spatiotemporal Characteristics of Extreme Precipitation from 2001 to 2019 in China
Authors: Lu Jiayi , Wang Kaicun , Wu Guocan , Mao Yuna 
Published: February 2024

Abstract
The spatiotemporal characteristics of extreme precipitation intensity are crucial for hydroclimatic studies. This study delineates the spatiotemporal distribution features of extreme precipitation intensity across China from 2001 to 2019 using the gridded daily precipitation dataset CN05.1, constructed from an observation network of over 2400 stations. Furthermore, we evaluate the reliability of 12 widely used precipitation datasets (including gauge-based, satellite retrieval, reanalysis, and fusion products) in monitoring extreme precipitation events. Our findings indicate the following: 1) CN05.1 reveals a consistent spatial distribution characterized by a decline in extreme precipitation intensity from the southeastern coastal regions toward the northwestern inland areas of China. From 2001 to 2019, more pronounced declining intensity trends are discernible in the northern and southwestern regions of China, whereas marked increasing trends manifest in the northeastern and the Yangtze River plain regions. National mean extreme precipitation indices consistently exhibit significant increasing trends throughout China. 2) Datasets based on station observations generally exhibit superior applicability concerning spatiotemporal distribution. 3) Multisource weighted precipitation fusion products effectively capture the temporal variability of extreme precipitation indices. 4) Satellite retrieval datasets exhibit notable performance disparities in representing various intensity indices. Most products tend to overestimate the increasing trends of national mean intensity indices. 5) Reanalysis datasets tend to overestimate extreme precipitation indices, and inadequately capture the trends. ERA5 and JRA-55 underestimate trends, while CFSR and MERRA-2 significantly overestimate the trends. These findings serve as a basis for selecting reliable precipitation datasets for extreme precipitation and hydrological simulation research in China.

Significance Statement
Extreme precipitation events have increasingly become more widespread, posing significant threats to human lives and property. Accurately understanding the spatiotemporal patterns of these events is imperative for effective mitigation. Despite the proliferation of precipitation products, their capacity to faithfully represent extreme events remains inadequately validated. In this study, we utilize a gauge-based dataset derived from over 2400 gauge stations across China to investigate the spatiotemporal changes in extreme precipitation events from 2001 to 2019. Subsequently, we conduct a rigorous evaluation of 12 widely used precipitation datasets to assess their efficacy in depicting extreme events. The results of this research offer valuable insights into the strengths and weaknesses of various precipitation products in depicting extreme events.
Factors Associated With Myocardial Infarction in a Rural Population With Peripheral Arterial Diseases
Authors: Awujoola Adeola O. , Mokikan Moboni T. , Odebunmi Olufeyisayo O. , Mamudu Hadii M. , Stewart David W. , Husari Ghaith , Singh Krishna , Grant Cori , Budoff Matthew , Paul Timir K. 
Published: February 2024

Peripheral arterial disease (PAD) studies in rural populations are limited. The incidence of myocardial infarction (MI) is higher in patients with PAD. This study examined the association between sociodemographic and clinical risk factors and MI in patients with PAD in Central Appalachia, comprising of 230 counties across six states in the United States. Data from electronic medical records of 13,455 patients with PAD were extracted from a large health system in Central Appalachia. Bivariate and logistic regression analyses were conducted. The final sample consisted of 5574 patients with PAD, of whom 24.85% were also diagnosed with MI. The mean age was 71 ± 11.23 years, and the majority were male (56.40%). After adjusting for confounders, patients with hypertension had three times higher odds of MI (adjusted Odds Ratio [aOR] = 3.21; 95% CI: 2.50–4.14) compared with those without hypertension. The likelihood of MI increased by 51% among patients with diabetes (aOR = 1.51; 95% CI: 1.33–1.71), 34% among ever-smokers (aOR = 1.34; 95% CI: 1.18–1.52), and 45% in males (aOR = 1.45; 95% CI: 1.27–1.65). Hypertension, diabetes, smoking, and male sex were identified as significant risk factors for MI. Screening and effective management of these risk factors in rural areas could potentially prevent MI incidence among patients with PAD.