bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics effects of bias current composed on inertial neural system: multistability control and application in image encryption
Authors: Boui A Boya Bertrand Frederick , de Dieu Nkapkop Jean , Tsafack Nestor , Etoundi Christophe Magloire Lessouga , Kengne Jacques , Effa Joseph Yves , Kenmoe Germaine Djuidje 
Published: March 2023

Abstract
The function of the biological nervous system is related to its dynamics. This paper explored the dynamics effects of bias current composed on inertial neural system based with two neurons. The model affected by the bias current can induce a reduction in the number of equilibrium points, the number of coexistence attractors, as well as the disturbance of the symmetry of this model compared to the model in without bias current. In absence of bias current we report multistability of up to six different attractors, symmetry birth of chaos via period-bubbling cascades in are reported in the model. Coexistence of symmetry bursting oscillations, parallel branch, and hysteresis dynamic are also presented in the system. The presence of bias current control the symmetry of the model and generates complex phenomena among others, coexistence of five asymmetric attractors, coexistence of asymmetric bubble and asymmetric bursting oscillation. Equilibrium point and Hopf bifurcation are perform in the paper. Furthermore, control of multistability is used for future application in engineering. Security analyses indicates that the proposed image encryption scheme exhibits a good encryption performance and can withstand known attacks.
The Breakthrough Listen Search for Intelligent Life: Nearby Stars’ Close Encounters with the Brightest Earth Transmissions
Authors: Derrick Reilly , Isaacson Howard 
Published: March 2023

Abstract
After having left the heliosphere, Voyager 1 and Voyager 2 continue to travel through interstellar space. The Pioneer 10, Pioneer 11, and New Horizons spacecraft are also on paths to pass the heliopause. These spacecraft have communicated with the Deep Station Network (DSN) radio antennas in order to download scientific data and telemetry data. Outward transmissions from DSN travel to the spacecraft and beyond into interstellar space. These transmissions have encountered and will encounter other stars, introducing the possibility that intelligent life in other solar systems will encounter our terrestrial transmissions. We use the beamwidth of the transmissions between DSN and interstellar spacecraft to perform a search around the past and future positions of each spacecraft obtained from the JPL Horizons System. By performing this search over the Gaia Catalogue of Nearby Stars, a catalog of precisely mapped stars within 100 pc, we determine which stars the transmissions of these spacecraft will encounter. We highlight stars that are in the background of DSN transmissions and calculate the dates of these encounters to determine the time and place for potential intelligent extraterrestrial life to encounter terrestrial transmissions.
Active basis choice for quantum key distribution with entangled states
Authors: Vinetskaya P M , Kravtsov K S , Borshchevskaia N A , Klimov A N , Kulik S P 
Published: March 2023

Abstract
Entangled quantum key distribution (QKD) is a promising way to generate pairs of unconditionally secret keys. In this paper we review possible realizations of entanglement-based QKD and assess their feasibility in terms of implementation complexity and provided security. We also propose a novel active basis choice approach that enables to use only one single-photon detector per user. The paper provides all necessary details including the required electro-optic crystal configurations to implement such a scheme experimentally.
Shadow thermodynamics of the Hayward-AdS black hole*
Authors: Luo Zhi , Yu Hao , Cao Shuo , Li Jin 
Published: March 2023

Abstract
In this paper, the phase structure of the Hayward-anti-de Sitter (AdS) black hole (BH) is studied using shadow formalism. It has been found that the shadow radius is a monotonic function of the horizon radius and can therefore play an equivalent role to the horizon radius in characterizing the thermodynamics of the Hayward-AdS BH. The thermodynamic phase transition (PT) of the Hayward-AdS BH is investigated with the shadow radius. It is shown that as the magnetic charge increases, the shadow radius becomes larger, while the coexistence temperature becomes lower. The thermal profile of the Hayward-AdS BH is established by combining the temperature diagram and the shadow cast diagram, which shows that for a fixed magnetic charge, the temperature of the Hayward-AdS BH increases with the pressure whereas the region of the thermal profile decreases with the pressure. In particular, the temperature of the Hayward-AdS BH follows an N-type change trend when it is smaller than the critical temperature. It implies that the BH shadow may be used to investigate the thermodynamics of the Hayward-AdS BH.
Modelling of solid oxide cell oxygen electrodes
Authors: Panisset Silvère , Burriel Mónica , Laurencin Jérôme , Jauffres David 
Published: March 2023

Abstract
Numerical models are versatile tools to study and predict efficiently the performance of solid oxide cells (SOCs) according to their microstructure and composition. As the main contribution to the cell polarisation is due to the oxygen electrode, a large part of the proposed models has been focused on this electrode. Electrode modelling aims to improve the SOCs performance by serving as a guide for the microstructural optimisation, and helps to better understand the electrochemical reaction mechanisms. For studying the electrode microstructure, three categories of models can be distinguished: homogenised models, simplified geometry based models, and reconstructed microstructure based models. Most models are based on continuum physics, while elementary kinetic models have been developed more recently. This article presents a review of the existing SOCs models for the oxygen electrode. As a perspective, the current challenges of electrode modelling are discussed in views of a better prediction of the performance and durability, and more specifically for the case of thin-film SOCs.
Eco-evolutionary games for harvesting self-renewing common resource: effect of growing harvester population
Authors: Bairagya Joy Das , Mondal Samrat Sohel , Chowdhury Debashish , Chakraborty Sagar 
Published: March 2023

Abstract
The tragedy of the commons (TOCs) is a ubiquitous social dilemma witnessed in interactions between a population of living entities and shared resources available to them: the individuals in the population tend to selfishly overexploit a common resource as it is arguably the rational choice, or in case of non-human beings, it may be an evolutionarily uninvadable action. How to avert the TOC is a significant problem related to the conservation of resources. It is not hard to envisage situations where the resource could be self-renewing and the size of the population may be dependent on the state of the resource through the fractions of the population employing different exploitation rates. If the self-renewal rate of the resource lies between the maximum and the minimum exploitation rates, it is not a priori obvious under what conditions the TOC can be averted. In this paper, we address this question analytically and numerically using the setup of an evolutionary game theoretical replicator equation that models the Darwinian tenet of natural selection. Through the replicator equation, while we investigate how a population of replicators exploit the shared resource, the latter’s dynamical feedback on the former is also not ignored. We also present a transparent bottom-up derivation of the game-resource feedback model to facilitate future studies on the stochastic effects on the findings presented herein.
Quantitative Risk for Single-Positive Lupus Anticoagulant Results With Different Anticoagulants
Authors: Khan Waleed , Tormey Christopher A , Rinder Henry M , Siddon Alexa J 
Published: March 2023

Abstract

Objectives
Clinical experts recommend against testing for lupus anticoagulant (LAC) during anticoagulation.

Methods
We quantitated the risk of a single-positive dilute Russell viper venom time (dRVVT) result or partial thromboplastin time–based phospholipid neutralization (PN) result on anticoagulation.

Results
Any anticoagulation led to a fourfold greater likelihood of single-positive results, primarily by rivaroxaban (odds ratio [OR] = 8.6) and warfarin (OR = 6.6), resulting in a positive dRVVT test with a normal PN test. Heparin and apixaban were twofold more likely to show single-positive results, but enoxaparin did not show significant single positivity.

Conclusions
Our results quantitatively support experts’ avoidance of LAC testing during anticoagulation.
Clinical Characteristics and Outcomes of Cyclin D1–Positive AL Amyloidosis
Authors: Tsushima Takafumi , Terao Toshiki , Narita Kentaro , Fukumoto Ami , Ikeda Daisuke , Kamura Yuya , Kuzume Ayumi , Tabata Rikako , Miura Daisuke , Takeuchi Masami , Matsue Kosei 
Published: March 2023

Abstract

Objectives
To demonstrate the clinical features and prognostic impact of cyclin D1 positivity in patients with amyloid light chain amyloidosis (AL).

Methods
We consecutively included 71 patients diagnosed with AL with cyclin D1 positivity between February 2008 and January 2022. t(11;14) was examined through interphase fluorescence in situ hybridization using bone marrow cells.

Results
The median age of the patients was 73 years, and 53.5% were male. The underlying diseases included symptomatic multiple myeloma, smoldering multiple myeloma, Waldenström macroglobulinemia, and monoclonal gammopathy of undetermined significance, representing 33.8%, 26.8%, 2.8%, and 36.6%, respectively. The prevalence of cyclin D1 and t(11;14) was 38.0% and 34.7%, respectively. Higher frequency of light chain paraprotein type was seen in cyclin D1–positive patients with AL than in cyclin D1–negative patients (70.4% vs 18.2%). The median overall survival (OS) of patients with AL with and without cyclin D1 expression was 18.9 months and 73.1 months, respectively (P = .019). Early death occurred in 44.4% of cyclin D1–positive patients and 31.8% of cyclin D1–negative patients. Moreover, 83.3% of cyclin D1–positive patients and 21.4% of cyclin D1–negative patients died of cardiac causes.

Conclusions
Cyclin D1 immunohistochemistry accurately identified patients with t(11;14). Cyclin D1–positive patients had significantly inferior OS compared with cyclin D1–negative patients.
Using LASSO Regression to Estimate the Population-Level Impact of Pneumococcal Conjugate Vaccines
Authors: Wong Anabelle , Kramer Sarah C , Piccininni Marco , Rohmann Jessica L , Kurth Tobias , Escolano Sylvie , Grittner Ulrike , Domenech de Cellès Matthieu 
Published: March 2023

AbstractPneumococcal conjugate vaccines (PCVs) protect against diseases caused by Streptococcus pneumoniae, such as meningitis, bacteremia, and pneumonia. It is challenging to estimate their population-level impact due to the lack of a perfect control population and the subtleness of signals when the endpoint—such as all-cause pneumonia—is nonspecific. Here we present a new approach for estimating the impact of PCVs: using least absolute shrinkage and selection operator (LASSO) regression to select variables in a synthetic control model to predict the counterfactual outcome for vaccine impact inference. We first used a simulation study based on hospitalization data from Mexico (2000–2013) to test the performance of LASSO and established methods, including the synthetic control model with Bayesian variable selection (SC). We found that LASSO achieved accurate and precise estimation, even in complex simulation scenarios where the association between the outcome and all control variables was noncausal. We then applied LASSO to real-world hospitalization data from Chile (2001–2012), Ecuador (2001–2012), Mexico (2000–2013), and the United States (1996–2005), and found that it yielded estimates of vaccine impact similar to SC. The LASSO method is accurate and easily implementable and can be applied to study the impact of PCVs and other vaccines.
Alcohol Craving and Severity are Associated with Dorsal Anterior Cingulate Choline Levels in Individuals with an Alcohol Use Disorder
Authors: Grodin Erica N , Burnette Elizabeth M , O’Neill Joseph , Alger Jeffry , Ray Lara A 
Published: March 2023

Abstract

Aims
Magnetic resonance spectroscopy (MRS) has been used to probe inflammation in the brain. While altered MRS metabolite levels have previously been found in individuals with alcohol use disorder (AUD), the relationship between potential metabolite markers of inflammation and the clinical correlates of AUD remains understudied. Therefore, this exploratory study sought to elucidate the clinical significance of inflammation in AUD by examining relationships between metabolites, AUD severity, alcohol consumption, and craving in individuals with AUD.

Methods
Data for this secondary analysis are derived from a two-week clinical trial of ibudilast to treat AUD. Forty-three non-treatment-seeking individuals with an AUD (26M/17F) completed an MRS scan and alcohol-related questionnaires. MRS was performed using a multi-voxel array placed above the corpus callosum, extending from the pregnenual anterior cingulate to premotor cortex. The dorsal anterior cingulate was selected as the volume of interest. Metabolite levels of choline-compounds (Cho), myo-inositol (mI), and creatine+phosphocreatine (Cr) were quantified. Separate hierarchical regression models were used to evaluate the independent effects of metabolite levels on alcohol craving, alcohol problem severity, and alcohol consumption.

Results
Dorsal anterior cingulate Cho predicted alcohol craving and alcohol problem severity over and above demographics, medication, and alcohol consumption measures. mI and Cr did not predict alcohol craving or alcohol problem severity. Metabolite markers were not predictive of alcohol consumption.

Conclusions
This preliminary study indicates that dACC Cho is sensitive to clinical characteristics of AUD. This is a further step in advancing neurometabolites, particularly Cho, as potential biomarkers and treatment targets for AUD.
Can thiamine substitution restore cognitive function in alcohol use disorder?
Authors: Listabarth Stephan , Vyssoki Benjamin , Marculescu Rodrig , Gleiss Andreas , Groemer Magdalena , Trojer Armin , Harrer Christine , Weber Sabine , König Daniel 
Published: March 2023

Abstract

Aims
While clinical consequences of thiamine deficiency in alcohol use disorder (AUD) are severe, evidence-based recommendations on dosage, type of administration and duration of thiamine substitution (TS), and its’ target levels remain sparse. This study aimed to compare the effect of two best practice TS regimens on thiamine blood levels (i.e. thiamine pyrophosphate, TPP) and cognitive function.

Methods
In 50 patients undergoing in-patient alcohol-withdrawal treatment, TPP levels were determined at baseline and end of weeks 1, 2 and 8 following administration of oral TS (3 × 100 mg/day for 7 days followed by 1 × 100 mg/day thereafter) either with or without preceding intravenous TS (3 × 100 mg/day for 5 days). An extensive psychiatric assessment was conducted at baseline, including an evaluation of AUD severity and depressive symptoms. Additionally, cognitive function and depressive symptoms were repeatedly evaluated.

Results
Relevant increases (mean increase by 100.2 nmol/l [CI 76.5–123.8], P &lt; 0.001) in peripheral blood TPP levels were observed in all patients at the end of weeks 1 and 2. Furthermore, no relevant difference between the intravenous and the oral group was found (average difference between increases: 2.3 nmol/l, P = 0.912). Importantly, an association between the ‘extent of the response’ to TS and the performance in a memory task was revealed in secondary analyses.

Conclusion
TS was associated with improving cognitive function in patients with AUD, independently of the substitution regime. Thus, in clinical practice, oral TS might be a sufficient but obligatory medication to prevent cognitive decline in AUD in the absence of Wernicke–Korsakoff Syndrome.
Two decades after Salini v Morocco: the case for retaining the Salini test with modifications
Authors: Chan Darius , Lai Justin 
Published: March 2023

Abstract
The definition of an investment under Article 25 of the ICSID Convention continues to attract a divergence of views. Ever since its use in 2001, the Salini Test, in its various forms, has become the predominant method that tribunals use to determine whether there is an investment. However, the Salini Test is hardly free from controversy, and suffers from two significant issues. First, its criteria are often subject to differing interpretations, leading to confusion over how the test should actually be applied. Second, the Salini Test has lost its legal force over time, as it has been relegated to factors that are ‘typical characteristics of an investment’ rather than jurisdictional requirements, of which the latter is arguably its proper role as part of a ‘double-keyhole’ test. This article addresses these issues by taking a detailed look at the individual criteria of the Salini Test and its original purpose. It proposes that (i) the Salini Test remains the best method for determining the meaning of ‘investment’ in Article 25 of the ICSID Convention, and (ii) regardless of whether the Salini Test is jurisdictional requirements or indicative factors, its individual criteria are in urgent need of refinement due to their inconsistent usage.
DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms
Authors: Liao Ying , Xiang Yisha , Zheng Mingjie , Wang Jun 
Published: March 2023

Abstract
Cardiac conduction disease is a major cause of morbidity and mortality worldwide. There is considerable clinical significance and an emerging need of early detection of these diseases for preventive treatment success before more severe arrhythmias occur. However, developing such early screening tools is challenging due to the lack of early electrocardiograms (ECGs) before symptoms occur in patients. Mouse models are widely used in cardiac arrhythmia research. The goal of this paper is to develop deep learning models to predict cardiac conduction diseases in mice using their early ECGs. We hypothesize that mutant mice present subtle abnormalities in their early ECGs before severe arrhythmias present. These subtle patterns can be detected by deep learning though they are hard to be identified by human eyes. We propose a deep transfer learning model, DeepMiceTL, which leverages knowledge from human ECGs to learn mouse ECG patterns. We further apply the Bayesian optimization and $k$-fold cross validation methods to tune the hyperparameters of the DeepMiceTL. Our results show that DeepMiceTL achieves a promising performance (F1-score: 83.8%, accuracy: 84.8%) in predicting the occurrence of cardiac conduction diseases using early mouse ECGs. This study is among the first efforts that use state-of-the-art deep transfer learning to identify ECG patterns during the early course of cardiac conduction disease in mice. Our approach not only could help in cardiac conduction disease research in mice, but also suggest a feasibility for early clinical diagnosis of human cardiac conduction diseases and other types of cardiac arrythmias using deep transfer learning in the future.
The application of corticosteroids for pathological scar prevention and treatment: current review and update
Authors: Sheng Meiying , Chen Yunsheng , Li Hua , Zhang Yixin , Zhang Zheng 
Published: March 2023

AbstractThe prevention and treatment of pathological scars remain challenging. Corticosteroids are the mainstay drugs in clinical scar prevention and treatment as they effectively induce scar regression and improve scar pruritus and pain. Currently, intralesional injections of corticosteroids are widely used in clinical practice. These require professional medical manipulation; however, the significant accompanying injection pain, repetition of injections and adverse effects, such as skin atrophy, skin pigmentation and telangiectasia, make this treatment modality an unpleasant experience for patients. Transdermal administration is, therefore, a promising non-invasive and easy-to-use method for corticosteroid administration for scar treatment. In this review, we first summarize the mechanisms of action of corticosteroids in scar prevention and treatment; then, we discuss current developments in intralesional injections and the progress of transdermal delivery systems of corticosteroids, as well as their corresponding advantages and disadvantages.
Abnormalities of regional spontaneous brain activity in poststroke aphasia: a meta-analysis
Authors: Cheng Lulu , Xi Hongyu , Gu Haiyan , Gao Yanyan , Hu Su , Li Mengting , Hao Zeqi , Wen Jianjie , Zhang Jianxin , Lv Yating , Zhan Linlin , Jia Xize 
Published: March 2023

Abstract
Poststroke aphasia is an acquired language disorder and has been proven to have adverse effects on patients’ social skills and quality of life. However, there are some inconsistencies in the neuroimaging studies investigating poststroke aphasia from the perspective of regional alterations. A meta-analysis has been employed to examine the common pattern of abnormal regional spontaneous brain activity in poststroke aphasia in the current study. Specifically, the Anisotropic effect-size version of seed-based d mapping was utilized, and 237 poststroke aphasia patients and 242 healthy controls (HCs) from 12 resting-state functional magnetic resonance imaging studies using amplitude of low-frequency fluctuations (ALFF), fractional ALFF, or regional homogeneity were included. The results showed that compared with HCs, patients with poststroke aphasia demonstrated increased regional spontaneous brain activity in the right insula, right postcentral gyrus, left cerebellar lobule IX, left angular gyrus, right caudate nucleus, left parahippocampal gyrus, and right supplementary motor area, and decreased regional spontaneous brain activity in the left cerebellar lobule VI, left median cingulate and paracingulate gyri, right cerebellar crus I, and left supplementary motor area. The study could provide further evidence for pathophysiological mechanism of poststroke aphasia and help find targets for treatment.
Stress degrades working memory-related frontostriatal circuit function
Authors: Berridge Craig W , Devilbiss David M , Martin Andrea J , Spencer Robert C , Jenison Rick L 
Published: March 2023

Abstract
Goal-directed behavior is dependent on neuronal activity in the prefrontal cortex (PFC) and extended frontostriatal circuitry. Stress and stress-related disorders are associated with impaired frontostriatal-dependent cognition. Our understanding of the neural mechanisms that underlie stress-related cognitive impairment is limited, with the majority of prior research focused on the PFC. To date, the actions of stress across cognition-related frontostriatal circuitry are unknown. To address this gap, the current studies examined the effects of acute noise-stress on the spiking activity of neurons and local field potential oscillatory activity within the dorsomedial PFC (dmPFC) and dorsomedial striatum (dmSTR) in rats engaged in a test of spatial working memory. Stress robustly suppressed responses of both dmPFC and dmSTR neurons strongly tuned to key task events (delay, reward). Additionally, stress strongly suppressed delay-related, but not reward-related, theta and alpha spectral power within, and synchrony between, the dmPFC and dmSTR. These observations provide the first demonstration that stress disrupts the neural coding and functional connectivity of key task events, particularly delay, within cognition-supporting dorsomedial frontostriatal circuitry. These results suggest that stress-related degradation of neural coding within both the PFC and striatum likely contributes to the cognition-impairing effects of stress.