bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioral examination of the role of the primary visual cortex in the perceived size representation
Authors: Yoo Sang-Ah , Joo Sung Jun 
Published: November 2023

AbstractPrevious research has shown that neural activity in the primary visual cortex (V1) and V1 surface area may be linked with subjective experience of size illusions. Here, we behaviorally measured the hallway illusion with experimental manipulations as a proxy of V1’s influence on size perception. We first tested whether the hallway illusion can persist without further recurrent processing by using backward masking. Next, we examined relations among the hallway illusion magnitude and other perceptual measures that have been suggested to be correlated with V1 surface area. In Experiment 1, the magnitude of the hallway illusion was not affected by the stimulus duration and visual masking when the hallway context was previewed (i.e., complex depth information is already processed). It suggests that V1 activity could support the size illusion to some extent even when recurrent processing between V1 and higher areas is disturbed. In Experiment 2, the hallway illusion magnitude was correlated with the Vernier acuity threshold, but not with physical size discriminability. Our results provide converging evidence with the previous findings in that neural activity in V1 may contribute to size illusions and that V1 surface area is not the sole factor that mediates size perception and visual precision.
Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
Authors: Sha Yutong , Qiu Yuchi , Zhou Peijie , Nie Qing 
Published: November 2023

AbstractTime-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented opportunities to learn dynamic processes of cellular systems. Due to the destructive nature of sequencing, it remains challenging to link the scRNA-seq snapshots sampled at different time points. Here we present TIGON, a dynamic, unbalanced optimal transport algorithm that reconstructs dynamic trajectories and population growth simultaneously as well as the underlying gene regulatory network from multiple snapshots. To tackle the high-dimensional optimal transport problem, we introduce a deep learning method using a dimensionless formulation based on the Wasserstein–Fisher–Rao (WFR) distance. TIGON is evaluated on simulated data and compared with existing methods for its robustness and accuracy in predicting cell state transition and cell population growth. Using three scRNA-seq datasets, we show the importance of growth in the temporal inference, TIGON’s capability in reconstructing gene expression at unmeasured time points and its applications to temporal gene regulatory networks and cell–cell communication inference.
Silent closure based pair verifier for fault pattern diagnosis of discrete event systems
Authors: Liang Ye , Lefebvre Dimitri , Li Zhiwu 
Published: November 2023

AbstractThis paper addresses fault pattern diagnosis of discrete event systems, involving fault pattern detection and diagnosability. A fault pattern is modelled as a finite automaton whose accepted language is the objective to be diagnosed, representing the occurrence of complex or composite faults. A verifier for fault pattern detection based on the synchronous product of a system and a fault pattern is proposed. By removing all silent events, a silent closure is calculated based on the synchronous product, which offers computational advantages for systems that have a large number of silent events. An NSC/FSC pair verifier is then computed by taking the product of a normal silent closure and an accepted silent closure. By studying indeterminate cycles of the NSC/FSC pair verifier, necessary and sufficient verification conditions are established, asserting that a system is diagnosable with respect to a fault pattern if and only if there is no indeterminate cycle in the NSC/FSC pair verifier. It is shown that the proposed method requires polynomial time at most. Finally, a case study to illustrate the results is provided.
Frequency‐structure‐aware modelling for unsupervised zero‐shot cross‐domain heterogeneous face translation
Authors: Liu Zhihui , Chen Jian , Liu Tingshuai , Zhang Yinghui 
Published: November 2023

AbstractUnsupervised heterogeneous face translation requires obtaining heterogeneous images with the same identities at training time, limiting the use in unconstrained real‐world scenarios. Taking a step further towards unconstrained heterogeneous face translation, the authors explore unsupervised zero‐shot heterogeneous face translation for the first time, which is expected to synthesize images that resemble the style of target images and whose identities in the source domain have been preserved but never seen in the target domain during training. Essentially, asymmetry between heterogeneous faces under the zero‐shot setting further exacerbates the distortion and blurring of the translated images. The authors therefore propose a novel frequency‐structure‐guided regularization, which can jointly encourage to capture detailed textures and maintain identity consistency. Through extensive experimental validation and comparisons to several baseline methods on benchmark datasets, the authors verify the effectiveness of the proposed framework.
Outcomes of Extended Middle Fossa Approach for Petroclival Tumors in the Elderly
Authors: Kaul Vivian F. , Harris Micah K. , Kato Masanari , Finger Guilherme , Gao Thomas , Hardesty Douglas A. , Prevedello Daniel M. , Ren Yin , Adunka Oliver F. 
Published: November 2023

Abstract
Objective The aims of the study are (1) to evaluate the extended middle fossa approach (eMCF) for resection of tumors in the petroclivus and anterior cerebellopontine angle (CPA) and (2) to compare surgical outcomes between elderly (≥65 years) and nonelderly patients.
Design Retrospective cohort.
Setting Tertiary referral center.
Participants Adults with petroclival, anterior CPA, or posterior fossa lesions who underwent an eMCF approach from 2012 to 2021 were included in the study.
Main Outcome Measure Demographics, symptoms, cranial nerve (CN) function, and postoperative outcomes.
Results Twenty-nine patients (mean age of 55 years, 59% females) were identified. Eleven (38%) were ≥65 years (65–79 years). The most common pathology was meningioma (n = 13, 45%), followed by vestibular schwannoma (n = 4, 14%) and squamous cell carcinoma (n = 3, 10%). Nineteen tumors (65.5%) were located in the petroclivus, 7 (24%) involved the cavernous sinus, and 10 (34%) were located in the posterior fossa. The mean tumor maximal diameter was 3.4 cm (range: 1.3–7.9 cm). Gross total tumor resection was accomplished in 15 (52%) patients. Most patients (n = 23, 79%) did not develop new CN deficits postoperatively. Of the 13 patients who had complete pre- and postoperative audiometric data, 69% (n = 9) maintained their hearing. Comparing the elderly versus nonelderly patients, there were no significant differences in the development of new CN palsies (p = 0.14), length of stay (p = 0.91), or incidence of postoperative complications (p = 0.30).
Conclusions The eMCF approach provides exposure to the petroclival region, anterior CPA cistern, and posterior fossa for a variety of pathologies. It has a favorable safety profile in the elderly (≥65 years) population with low morbidity.
Intracranial hemorrhages in patients with COVID-19: a systematic review of the literature, regarding six cases in an Amazonian population
Authors: Lima William de Sousa , Soares Marcelo Henrique Pereira , Paschoal Eric Homero Albuquerque , Paschoal Joelma Karin Sagica Fernandes , Paschoal Fernando Mendes , Bor-Seng-Shu Edson 
Published: November 2023

AbstractBackground Coronavirus disease 2019 (COVID-19) has emerged as a public health emergency worldwide, predominantly affecting the respiratory tract. However, evidence supports the involvement of extrapulmonary sites, including reports of intracranial hemorrhages.Objective To describe six original cases and review the literature on intracranial hemorrhages in patients diagnosed with COVID-19 by molecular methods.Methods A systematic literature review was performed on MEDLINE, PubMed, and NCBI electronic databases to identify eligible studies. Of the total 1,624 articles retrieved, only 53 articles met the inclusion criteria.Results The overall incidence of intracranial hemorrhage in patients hospitalized for COVID-19 was 0.26%. In this patient group, the mean age was 60 years, and the majority were male (68%) with initial respiratory symptoms (73%) and some comorbidity. Before the diagnosis of hemorrhage, 43% of patients were using anticoagulants, 47.3% at therapeutic doses. The intraparenchymal (50%) was the most affected compartment, followed by the subarachnoid (34%), intraventricular (11%), and subdural (7%). There was a predominance of lobar over non-lobar topographies. Multifocal or multicompartmental hemorrhages were described in 25% of cases. Overall mortality in the cohort studies was 44%, while around 55% of patients were discharged from hospital.Conclusion Despite the unusual association, the combination of these two diseases is associated with high rates of mortality and morbidity, as well as more severe clinicoradiological presentations. Further studies are needed to provide robust evidence on the exact pathophysiology behind the occurrence of intracranial hemorrhages after COVID-19 infection.
Prognostic Value of Polypoid Changes of the Middle Turbinate in Relapsed Nasal Polypi after FESS: A Prospective Cohort Study
Authors: Abdelsamie Alaa Mohamed , Abdelazeem Hossam Mohamed , Dawood Gena Kerollos , Abdelaal Taha Mohamed 
Published: November 2023

Abstract
Introduction Despite the high level of patient satisfaction with functional endoscopic sinus surgery (FESS) and the clinical improvement, polyp recurrence is observed in 23% to 87% of patients and requires reoperation.
Objective To assess the prognostic value of polypoid changes of the middle turbinate (PCMT) in relapse of paranasal sinus polyps in patients with chronic rhinosinusitis with nasal polyp (CRSwNP) after FESS and the effect of partial middle turbinectomy (PMT) on the outcome of surgery.
Methods We conducted a prospective clinical study on 60 patients with CRSwNP with and without PCMT. The patients were allocated into three groups: group I included twenty patients without PCMT; group II, twenty patients with PCMT; and group III included twenty patients with PCMT submitted to PMT. The patients were evaluated endoscopically according to the Lund-Kennedy endoscopic scoring system, radiologically according to the Lund-Mackay scoring system, and symptomatically through the 22-item Sinonasal Outcome Test (SNOT-22).
Results The total postoperative Lund-Kennedy score differed significantly among the 3 groups (p < 0.001), with a group II presenting a significantly higher total score compared to groups I and III. The Preoperative SNOT-22 score differed significantly among the three groups (p = 0.013), with group II presenting a significantly higher score compared to group I. There was a significant association involving the 3 groups and relapse at 12 months (p = 0.029); relapse was higher in group II (50.0%) than in groups I (20%) and III (15.0%).
Conclusion There was a significant association between PCMT and the relapse of nasal polyps. Also, nasal polyposis recurred at a lower rate in the group submitted to middle turbinate resection compared to the group in whom it was preserved.
Analysis of spatial patterns of technological innovation capability based on patent data in Jiangsu province, China
Authors: Ma Yuxuan , Wang Lei , Hu Di , Ge Yaoqing , Zuo Junzhu , Lan Tian 
Published: November 2023

AbstractInnovation is the main driver of regional economic development. Exploring the spatial patterns of regional innovation can elucidate the regional differences in innovation development. Nearly all the researches on spatial patterns of innovation take the administrative divisions of provinces, cities and counties as spatial units, and portray the spatial patterns of regional innovation from the macroscopic overall, but lack the spatial patterns within the regions. This paper employed patents of Jiangsu province, China in 2019 as a sample, divided the spatial units based on geographic coordinates of patent data, calculated the technological innovation capability index of within the spatial units, overcoming the drawbacks of the research method that fails to reveal the internal pattern of cities by using provinces, cities and counties as the research scale, and analysed the spatial patterns of technological innovation capability in Jiangsu province by using spatial autocorrelation analysis and standard deviation ellipse. The results show that: (1) In terms of distribution, the spatial pattern of technological innovation capability in Jiangsu province is obviously “one core and one belt” in southern Jiangsu, with Nanjing as the core and Suzhou, Wuxi and Changzhou as a southeast-northwest belt of high innovation capacity, while multi-point scattered in northern Jiangsu. (2) From the perspective of aggregation mode, each city has the largest number of H-H agglomeration units, relatively presenting a zonal distribution in the Suzhou-Wuxi-Changzhou area and Nanjing, and less distribution in other places. (3) Industrially speaking, the development of technological innovation capability of the secondary industry in many cities is better and centralized, while secondary and tertiary industries move hand in hand around the city centre in Nanjing, and the tertiary industry dominates comparably in Suzhou and Wuxi.
Spontaneous muscle activity classification with delay-based reservoir computing
Authors: Pavlidou Antonia , Liang Xiangpeng , Arekhloo Negin Ghahremani , Li Haobo , Marquetand Justus , Heidari Hadi 
Published: November 2023

Neuromuscular disorders (NMDs) affect various parts of a motor unit, such as the motor neuron, neuromuscular junction, and muscle fibers. Abnormal spontaneous activity (SA) is detected with electromyography (EMG) as an essential hallmark in diagnosing NMD, which causes fatigue, pain, and muscle weakness. Monitoring the effects of NMD calls for new smart devices to collect and classify EMG. Delay-based Reservoir Computing (DRC) is a neuromorphic algorithm with high efficiency in classifying sequential data. This work proposes a new DRC-based algorithm that provides a reference for medical education and training and a second opinion to clinicians to verify NMD diagnoses by detecting SA in muscles. With a sampling frequency of Fs = 64 kHz, we have classified SA with EMG signals of 1 s of muscle recordings. Furthermore, the DRC model of size N = 600 nodes has successfully detected SA signals against normal muscle activity with an accuracy of up to 90.7%. The potential of using neuromorphic processing approaches in point-of-care diagnostics, alongside the supervision of a clinician, provides a more comprehensive and reliable clinical profile. Our developed model benefits from the potential to be implemented in physical hardware to provide near-sensor edge computing.
Photosynthesis, ionomics and metabolomics of the host–hemiparasite association Acacia gerrardii–Viscum schimperi
Authors: Barhoumi Zouhaier 
Published: November 2023

Viscum schimperi is an evergreen hemiparasitic plant that can grow on stems and branches of several tree species. It penetrates the host tissues and forms a vascular bridge (haustorium) to withdraw the nutritive resources. Its relationships with hosts remain unknown. This study aimed to investigate the physiological and biochemical attributes of the host–hemiparasite association Acacia gerrardii–Viscum schimperi. The hemiparasite exhibited 2.4- and 3.0-fold lower photosynthetic activity and water use efficiency, and 1.2- and 4.1-fold higher transpiration rate and stomatal conductance. Equally, it displayed 4.9- and 2.6-fold greater water potential and osmotic potential, and in least 3.0 times more accumulated 39K, 85Rb and 51V, compared to the host. Nevertheless, it had no detrimental effect on photosynthetic activity, water status and multi-element accumulations in the host. Based on metabolome profiling, V. schimperi could use xanthurenic acid and propylparaben to acquire potassium from the host, and N-1-naphthylacetamide and N-Boc-hydroxylamine to weaken or kill the distal part of the infected branch and to receive the total xylem contents. In contrast, A. gerrardii could used N-acetylserotonin, arecoline, acetophenone and 6-methoxymellein to defend against V. schimperi infection.
The use of metaphors to construct crisis discourses in describing COVID-19 vaccines in the Chinese and the American news media
Authors: Lu Gaoqiang , Yu Yating 
Published: November 2023

AbstractThere have been limited studies comparing Chinese and American news media in their descriptions of vaccines, especially their use of metaphors in the context of COVID-19. Hence, this paper employs a corpus-assisted critical approach to examine the metaphors used in constructing crisis discourses relating to vaccines in Chinese and American newspapers. The study reveals four conceptual metaphors: WEAPON, MACHINE, TRAVELLER, and CONTEST. The usage of these metaphors is intertwined with wider discursive contexts, which are shaped by the two countries’ distinct journalistic and geopolitical/sociocultural contexts. These have resulted in the adoption of different strategies for handling the COVID-19 crisis, reflecting the ideologies of collectivism in China and capitalism in America. The study highlights the significance of metaphors in shaping the ideologies of governments and/or the public towards vaccines through news media. Additionally, this paper provides a useful framework for comparing metaphor usage in two large corpora using Wmatrix.
(Un)Just transition in power generation: neoliberal reforms and climate crisis in Sudan
Authors: Salah Mohamed , Basheir Razaz 
Published: November 2023

ABSTRACT
Given the undisputable reality of climate change, this article explores Sudan's power generation and its approach to the current climate crisis, focusing on the perspective of a just energy transition. It highlights how the power sector's plans remain centralised, favouring urban consumerism, cost-driven energy sources, and inadequate social and environmental evaluations with limited community involvement. Furthermore, the absence of timely adaptation measures has left off-grid populations and those displaced by hydroelectric dams disproportionately vulnerable to worsening climate conditions, loss of traditional livelihoods, and conflicts over dwindling natural resources. This exacerbates instability and regional development disparities. The article advocates for a just energy transition in Sudan that not only reduces CO2 emissions but also minimises adverse impacts on local ecosystems and livelihoods. It suggests a blend of distributed and utility-scale renewable energy sources alongside existing hydro-thermal capacity. It also calls for prioritising power supply to off-grid communities through socially driven financing mechanisms, countering the neoliberal push for privatisation and full-cost recovery.
Black Lives Matter and the new wave of anti-racist mobilizations in Europe
Authors: Beaman Jean , Doerr N. , Kocyba P. , Lavizzari A. , Zajak S. 
Published: November 2023

ABSTRACT
This Special Issue investigates the European Black Lives Matter (BLM) protests that followed the protests in the USA against police brutality in the aftermath of George Floyd’s killing in May 2020. It takes an interdisciplinary theoretical perspective, interested in cultural and political contexts and the mechanism of how street protests and social movements influence public debates. It shows in various dimensions how the BLM mobilisation transformed existing anti-racist struggles within and across countries, bringing forward new debates, narratives, actors, and forms of resistance and organising in the social and cultural landscape of European countries.
Impact of big bang nucleosynthesis on the H
0 tension
Authors: Takahashi Tomo , Toda Yo 
Published: November 2023

Abstract
We investigate the impact of big bang nucleosynthesis (BBN) on the Hubble tension,
focusing on how the treatment of the reaction rate and observational data affect the evaluation of
the tension. We show that the significance of the tension is increased to 4.41σ from
3.61σ and to 5.22σ from 4.58σ in axionlike early dark energy model with n = 2
and n = ∞, respectively, depending on the treatment of the reaction rate and observational
data. This indicates that how we include the BBN data in the analysis can give a significant
impact on the Hubble tension, and we need to carefully consider the assumptions of the analysis to
evaluate the significance of the tension when the BBN data is used.
Fe2O3/C nanomaterials synthesized by microwave for energy storage applications
Authors: Hang Bui Thi , Van Dang Tran , Van Quy Nguyen 
Published: November 2023

Abstract
In this study, Fe(NO3)3.6H2O was used as the iron source for synthesising Fe2O3 and Fe2O3/C nanomaterials by microwave together with calcination. Physical characterisations of the synthesised materials have been evaluated by x-ray diffraction (XRD) and scanning electron microscopy (SEM) together with x-ray energy-dispersive spectroscopy (EDS), respectively. The Fe2O3/C composite electrodes were prepared based on Fe2O3/C nanomaterials and used as the negative electrode in the iron-based rechargeable battery. The electrochemical properties of Fe2O3/C composite electrodes were investigated by cyclic voltammetry and galvanostatic charge/discharge measurements. The obtained results show that the synthesised conditions affect the redox reactions of the Fe2O3/C electrodes. The influences of additives on the electrochemical properties of Fe2O3/C electrodes were also examined. The additives in electrode and electrolyte improved the cyclability, discharge capacity of Fe2O3/C electrode.
Room temperature ferroelectricity and ferromagnetism in Ni-substituted Bi5Ti3FeO15
Authors: He Li-Min , Wang Qian , Zhao Xiao-Nan , Kang Shi-Shou , Wang Chun-Ming 
Published: November 2023

Abstract
Aurivillius-type bismuth layer-structured ferroelectric (BLSF) Bi5Ti3FeO15 (BTF) has recently attracted considerable attention as a typical multiferroic material because ferroelectric and magnetic orders coexist, but bulk BTF exhibits antiferromagnetic (AFM) orders and negligible intrinsic magnetoelectric (ME) coupling effects. In this study, nickel-substituted Bi5Ti3FeO15 (Bi5Ti3Fe0.5Ni0.5O15, abbreviated as BTF-Ni) was synthesized using a solid-state reaction method to explore and enhance both the magnetic and ferroelectric properties of BTF. Polarization-electric field P-E loops indicate that the BTF-Ni exhibits considerable maximum polarization P
m of 11.9 μC/cm2 and remnant polarization P
r of 5.8 μC/cm2, but still keeps a very high ferroelectric Curie temperature (FE T
c) of 1029 K, which are much superior to those of pure BTF. Moreover, magnetization-magnetic field M-H loops indicate that BTF-Ni exhibits significant ferromagnetic properties with a large saturation magnetization M
s of 60 memu/g, low coercive field H
c of 31 Oe at room temperature, and a high ferromagnetic Curie temperature (FM T
c) of 698 K, whereas pure BTF has an antiferromagnetic Néel temperature (T
N) of 80 K. Our work suggests that nickel-substituted BTF is a potential room-temperature magnetoelectric multiferroic material.