bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intermodal quantum key distribution field trial with active switching between fiber and free-space channels
Authors: Picciariello Francesco , Karakosta-Amarantidou Ilektra , Rossi Edoardo , Avesani Marco , Foletto Giulio , Calderaro Luca , Vallone Giuseppe , Villoresi Paolo , Vedovato Francesco 
Published: January 2025

Abstract

Background
Intermodal quantum key distribution enables the full interoperability of fiber networks and free-space channels, which are both necessary elements for the development of a global quantum network. We present a field trial of an intermodal quantum key distribution system in a simple 3-node heterogeneous quantum network — comprised of two polarization-based transmitters and a single receiver — in which the active channel is alternately switched between a free-space link of 620 m and a 17 km-long deployed fiber in the metropolitan area of Padova.

Findings
The performance of the free-space channel is evaluated against the atmospheric turbulence strength of the link. The field trial lasted for several hours in daylight conditions, attesting the interoperability between fiber and free-space channels, with a secret key rate of the order of kbps for both the channels.

Conclusions
The quantum key distribution hardware and software require no different strategies to work over the two channels, even if the intrinsic characteristics of the links are clearly different.
Highly Sensitive Non-Enzymatic Electrochemical Sensor to Detect an Important Neurotransmitter Using Cobalt-Based Metal-Organic Framework/Graphene Oxide Composite
Authors: Houshmand Shiva , Mazloum-Ardakani Mohammad , Mohammadian-Sarcheshmeh Hamideh , Mohseni-Sardari Fereshteh 
Published: January 2025

Glutamate (Glu) is a principal neurotransmitter owing to its significant function in physiological and pathological processes. Deviations in Glu levels have been associated with the onset of various neurological disorders, implicating it as a potential biomarker for conditions like epilepsy, stroke, Alzheimer’s disease, and amyotrophic lateral sclerosis. Accurate detection of Glu is essential for the prevention, diagnosis, and treatment of such diseases. Herein, a highly sensitive non-enzymatic sensor is introduced to detect Glu. The electrochemical performance of Glu was studied by modifying the glassy carbon electrode using a cobalt-based metal-organic framework/graphene oxide composite (CoMG/GCE). Differential pulse voltammetry exhibited a linear response from 20.0 to 1.00 × 103 μM at an alkali solution with a detection limit of 3.10 μM. DPV was utilized to determine Glu in human blood serum samples using the standard addition method. This sensor showed the lowest interference with popular interference species, indicating its ability for healthcare applications.
Complete Revascularization Techniques for Acute Myocardial Infarction: A Systematic Review and Meta‐Analysis Comparing Angiography‐ and Coronary Physiology‐Guided PCI
Authors: Zhang Yanyan , Zhou Zuoyi , Zheng Bo , Gong Yanjun 
Published: January 2025

Background: It is generally accepted that for patients with multivessel disease and myocardial infarction, complete revascularization is preferable than culprit‐only revascularization. However, existing studies comparing coronary physiology‐guided versus angiography‐guided complete revascularization percutaneous coronary intervention (PCI) present conflicting conclusions.Methods: The investigation involved a comprehensive search of PubMed/Medline, Embase, and the Cochrane library for studies comparing coronary physiology‐guided with angiography‐guided PCI in patients with MI‐MVD. Clinical endpoints, including major adverse cardiovascular events, all‐cause mortality, recurrent MI, major adverse cardiac and cerebral event, planned revascularization, repeated revascularization, average stent number per patient, heart failure, and contrast nephropathy during any follow‐up period post PCI, were considered for analysis. Odds ratios (ORs) and mean differences with 95% confidence intervals (CIs) were calculated for binary and continuous variables, respectively. The analyses were conducted using Review Manager 5.1.Results: Our analysis included a total of 2493 patients from 5 studies. The physiology‐guided PCI group exhibited a lower rate of planned revascularization (OR: 0.10, 95% CIs: 0.07–0.14, p ≤ 0.001, and I2 = 96.6%) and average stent number per patient (mean difference: −0.47, 95% CIs: −0.56–−0.38, p ≤ 0.001, and I2 = 58.6%). However, there were no significant differences between the two groups regarding major adverse cardiac event (MACE) (OR: 0.89, 95% CIs: 0.63–1.26, p = 0.520, and I2 = 67.8%), all‐cause mortality (OR: 0.65, 95% CIs: 0.38–1.12, p = 0.120, and I2 = 50.5%), recurrent MI (OR: 0.74, 95% CIs: 0.28–2.00, p = 0.558, and I2 = 77.2%), major adverse cardiac and cerebral event (MACCE) (OR = 0.77, 95% CIs: 0.43–1.37, p = 0.378, and I2 = 0%), repeated revascularization (OR = 1.47, 95% CIs: 0.54–3.99, p = 0.452, and I2 = 76.5%), heart failure (OR: 1.04, 95% CIs: 0.43–2.56, p = 0.924, and I2 = 0%), and contrast nephropathy (OR: 1.26, 95% CIs: 0.27–5.81, p = 0.766, and I2 = 0%).Conclusions: Among patients with MI‐MVD, physiology‐guided PCI appeared to reduce the need for planned revascularization without triggering repeated revascularization, leading to fewer stents compared with angiography‐guided PCI. Other prespecified clinical outcomes including MACE, all‐cause mortality, recurrent MI, MACCE, heart failure, and contrast nephropathy were not significantly different between these two approaches.
Gene Expression Signatures of Smoking and Acute Myocardial Infarction: A Blood Transcriptome Analysis
Authors: Liu Fang-Fang , Yan Yi-Xuan , Zhang Hong-Feng , Li Ke 
Published: January 2025

Background: Tobacco smoke is known to contain numerous harmful chemicals, and epidemiological evidence has firmly established smoking as a potent risk factor for hypertension and myocardial infarction (MI). However, the precise mechanisms by which smoking contributes to cardiovascular disease are not fully understood. The aim of this study is to identify common molecular signatures in blood that link smoking to acute MI (AMI).Methods: We extracted transcriptome data from seven blood microarray datasets in the Gene Expression Omnibus (GEO) database, encompassing a total of 403 patients. Employing both individual dataset analysis and a combined meta‐analysis approach, we conducted a thorough examination of blood transcriptome profiles associated with AMI and smoking, uncovering numerous differentially expressed genes (DEGs).Results: Functional enrichment analysis indicated that DEGs associated with AMI and smoking were significantly enriched in overlapping biological processes, such as immune response and inflammation. Moreover, three genes—PTGDR, PYHIN1, and PRSS23—were consistently altered in both conditions and were validated as dysregulated in AMI using an independent GEO dataset. Furthermore, quantitative real‐time reverse transcription polymerase chain reaction (qRT‐PCR) validation further confirmed the differential expression of PYHIN1 and PRSS23 in AMI patients.Conclusions: Our findings suggest that gene expression changes induced by smoking in blood may contribute to the heightened risk of AMI. These identified genes are likely to play critical roles in the pathogenesis of AMI. Given the accessibility of peripheral blood samples, the expression levels of these genes could potentially serve as biomarkers for assessing cardiovascular health, particularly in individuals with a history of long‐term exposure to cigarette smoke.
Pisar el tambor. Una mirada semiótica sobre la corporalidad del candombe.
Authors: Corvalán María Laura 
Published: January 2025

En este texto nos proponemos presentar un análisis del esquema corporal del baile del candombe, el cual forma parte de una investigación doctoral en curso sobre la relación entre la corporalidad y la comunicación en el candombe porteño, atendiendo a sus reversiones y a las reformulaciones identitarias de sus practicantes. El estudio se centra en el caso de la Asociación Misibamba, la cual busca visibilizar la presencia de la población afroargentina en nuestra historia y valorizar la práctica del candombe afroporteño. En esta oportunidad indagaremos sobre los flujos comunicativos que se dan en el baile ‘hacia adentro’, con una mirada semiótica que permite reconocer las capas de sentido que se van tejiendo entre el cuerpo y su entorno.
The Gaussian-linear hidden Markov model: A Python package
Authors: Vidaurre Diego , Masaracchia Laura , Larsen Nick Y. , Ruijters Lenno R.P.T , Alonso Sonsoles , Ahrends Christine , Woolrich Mark W. 
Published: January 2025

Abstract
We propose the Gaussian-Linear Hidden Markov model (GLHMM), a generalisation of different types of HMMs commonly used in neuroscience. In short, the GLHMM is a general framework where linear regression is used to flexibly parameterise the Gaussian state distribution, thereby accommodating a wide range of uses—including unsupervised, encoding, and decoding models. GLHMM is available as a Python toolbox with an emphasis on statistical testing and out-of-sample prediction—that is, aimed at finding and characterising brain–behaviour associations. The toolbox uses a stochastic variational inference approach, enabling it to handle large data sets at reasonable computational time. The GLHMM can work with various types of data, including animal recordings or non-brain data, and is suitable for a broad range of experimental paradigms. For demonstration, we show examples with fMRI, local field potential, electrocorticography, magnetoencephalography, and pupillometry.
Validating MEG estimated resting-state connectome with intracranial EEG
Authors: Afnan Jawata , Cai Zhengchen , Lina Jean-Marc , Abdallah Chifaou , Pellegrino Giovanni , Arcara Giorgio , Khajehpour Hassan , Frauscher Birgit , Gotman Jean , Grova Christophe 
Published: January 2025

Abstract
Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakage issues, making it challenging to interpret MEG-derived connectivity in resting states. To address this, we validated MEG-derived connectivity from 45 healthy participants using a normative intracranial EEG (iEEG) atlas. The MEG inverse problem was solved using the wavelet-maximum entropy on the mean method. We computed four connectivity metrics: amplitude envelope correlation (AEC), orthogonalized AEC (OAEC), phase locking value (PLV), and weighted-phase lag index (wPLI). We compared spatial correlation between MEG and iEEG connectomes across standard canonical frequency bands. We found moderate spatial correlations between MEG and iEEG connectomes for AEC and PLV. However, when considering metrics that correct/remove zero-lag connectivity (OAEC/wPLI), the spatial correlation between MEG and iEEG connectomes decreased. MEG exhibited higher zero-lag connectivity compared with iEEG. The correlations between MEG and iEEG connectomes suggest that relevant connectivity patterns can be recovered from MEG. However, since these correlations are moderate/low, MEG connectivity results should be interpreted with caution. Metrics that correct for zero-lag connectivity show decreased correlations, highlighting a trade-off; while MEG may capture more connectivity due to source-leakage, removing zero-lag connectivity can eliminate true connections.
Sámi Resurgence through Heritage Work
Authors: Liinason Mia 
Published: January 2025

Abstract
With the aim to reach deeper insights into dynamics of resilience and resurgence in Sámi systems of knowledge, this article explores how Sámi worldviews and knowledges are enacted and passed on despite violent efforts of erasure by colonial state actors and settler colonialists. I analyze a variety of sources—interviews, a podcast, a documentary and a magazine—to highlight Sámi resilience and resurgence from different sites in the Norwegian part of Sápmi. Using the notion of heritage work, I illustrate how Sámi knowledge systems have kept their inner coherence while emerging in close affinity with hegemonic systems of knowledge. While illuminating tensions, contestations and complexities, the analysis brings attention to intersections between Sámi spirituality and Lutheran Christianity and recognize the embodied ways in which Sámi epistemes and nature-centered and multi-relational cosmologies are practiced beyond logocentric modes of knowledge, and highlight the role of gender for passing on these tacit forms of knowledge.
Study on material J-C parameter fitting and cushioning characteristics of 2A12 aluminum honeycomb sandwich under impact environment
Authors: Mao Lijun , Zhao Wei , He Ju , Pang Zhaojun , Du Zhonghua 
Published: January 2025

To address the negative impact of excessive impact forces during the penetration of space debris by harpoon attachment devices, causing damage to rear electronic components, research has been conducted on the buffering and energy absorption effects of 2A12 aluminum honeycomb. A simulation model for aluminum honeycomb impact crushing was established through 2A12 aluminum alloy quasi-static tests, SHPB dynamic compression tests, and 2A12 aluminum honeycomb quasi-static compression tests. The study investigated the effect of aluminum honeycomb on impact response accelerations in harpoon attachment device impact tests. The research results show that at launch velocities of 29.2 m/s and 29.6 m/s, the peak impact response accelerations were 866.56 g and 880.75 g respectively, with simulation results of 841.31 g and 868.29 g, indicating small errors of 2.91% and 1.41% respectively, verifying the correctness of the impact crushing simulation model. Further simulation analysis showed that the peak impact response accelerations without aluminum honeycomb buffering were 1549.21 g and 1588.14 g respectively. Compared with test results with aluminum honeycomb buffering, the peak impact response accelerations decreased by 682.65 g and 707.39 g respectively; compared with simulation results with buffering, the peak impact response accelerations decreased by 707.9 g and 719.85 g respectively. This demonstrates that using 2A12 aluminum honeycomb as a buffering structure for harpoon attachment devices effectively enhances energy absorption.
Optimizing core yarn twist levels for enhanced mechanical properties of aramid-wrapped yarns and fabrics
Authors: Jiang Yuhao , Peng Kun , Wang Yu , Xie Jiaqi , Lu Xin , Zhang Peng , Fu Yaqin 
Published: January 2025

This study addresses the issue of low surface energy of aramid fibers and their fabrics and aims to enhance their mechanical properties including tensile strength and impact resistance. Using the hollow spindle spinning method, aramid fiber bundles are employed as the core yarns with varying twist levels and nylon fibers are used as the wrapping yarns to create the nylon/aramid-wrapped yarns, which are then woven into the nylon/aramid fabrics. The investigation focuses on the effect of core yarn twist levels on the mechanical properties of the yarns and fabrics. Experimental results reveal that applying an appropriate core yarn twist can significantly improve the mechanical properties of the yarns and fabrics. Specifically, with the optimized the core yarn twist of 80 turns per meter (tpm) the tensile and hook strengths of the wrapped yarns reach 3.3 GPa and 1.2 N/Tex, respectively which are about 20.6% and 21.7% increase as compared to the untwisted yarns. Similarly, the plain-woven fabric consisting of the 80 tpm yarns achieves a tensile strength of 2577.9 N/cm, a pull-out force of 160.2 N, and an absorbed energy per unit volume of 436.5 KJ/m3 which are about 20.0%, 31.4% and 30.1% improvement, respectively as compared to the fabrics with the untwisted yarns. Additionally, the optimized fabric presents a 28.4% increase in the energy absorption efficiency and significant enhancement in abrasion resistance. These findings offer valuable insights for the potential applications of the nylon/aramid-wrapped yarns for developing personal protective fabrics and products.
Mapping Trajectories of Gait Recovery in Clinical Stroke Rehabilitation
Authors: Felius Richard A. W. , Punt Michiel , Wouda Natasja C. , Geerars Marieke , Bruijn Sjoerd M. , Wittink Harriet , van Dieën Jaap H. 
Published: January 2025

Background How gait changes during the early stages of stoke rehabilitation, and which patient characteristics are associated with these changes is still largely unknown. Objective he first objective was to describe the changes in gait during stroke rehabilitation. Secondly, we determined how various patient characteristics were associated with the rate of change of gait over time. Methods Participants were measured every 3 weeks during stroke rehabilitation. The assessment consisted of an inertial measurement unit (IMU) based 2-minute walk test (2MWT), 3 IMU-based balance tests, and standard clinical tests. In the 2MWT, participants were equipped with 3 IMUs, from which speed, variability, asymmetry, and smoothness were calculated. The changes in gait were examined from admission to discharge at an individual level. The effect of patient characteristics on the rate of change of the gait features over time was assessed with growth models. Results A total of 81 Trajectories from 72 participants were analyzed. On an individual basis, speed increased in 32 trajectories. Only a few trajectories exhibited significant changes in variability, asymmetry, and smoothness over the clinical rehabilitation period. The growth models revealed a significant increase in speed and decrease in variability and smoothness. Only the Berg Balance Scale and gait speed at onset were (negatively) associated with the rates of change of speed and smoothness, respectively. Conclusion We found a substantial variability in the gait-feature outcomes and their progression in individuals after stroke during clinical rehabilitation. The patient characteristics studied had limited associations with the rate of change of gait features over time.
Improving recruitment and retention of people with Parkinson's disease to clinical studies: A scoping review
Authors: Petty Rebecca , Agarwal Veena , Allison Jennifer , Bartolomeu-Pires Sandra , Bartlett Michèle , Boey Timothy , Croucher Rebecca , Collins Helen , Collins Sally , Davies Emma , Duffen Joy , Ellis-Doyle Romy , Gonzalez-Robles Cristina , Inches Jemma , Mills Georgia , Wonnacott Sheila , Foltynie Thomas , Allgar Victoria , Thompson Tom , Carroll Camille B. , Mullin Stephen , Louise-Zeissler Marie ,   on behalf of the EJS ACT-PD Consortium
Published: January 2025

Background Timely recruitment and effective retention of participants are challenging for clinical Parkinson's disease (PD) research studies. Not achieving this can affect delivery costs and bias results. Objective To identify successful recruitment and retention methodologies for clinical research studies in PD. Methods We conducted a systematic scoping review using a Population, Intervention, Comparator, Outcome and Study design (PICOS) framework to search and screen literature within five databases for published quantitative and mixed methods studies evaluating recruitment and retention strategies of interventional and observational trials in PD. Results Searches identified 4608 records, of which six papers covering eight studies were included in the review following screening for eligibility. No papers on retention strategies were found that met eligibility criteria. Effective strategies for rapid recruitment included research registries and trial finders (n = 3), digital marketing campaigns (n = 3), site recruitment support (n = 1) and multiple referral sources (n = 1). Recruitment diversity was increased by online campaigns, mandatory 10% minority targets set by funders and supplemental site funding. Conclusions This scoping review has identified methods that can be used to increase the rate and diversity of recruitment to PD clinical studies. Retention methodologies are under-researched.
Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
Authors: Paules Catharine I. , Nordwall Jacqueline A. , Shaw-Saliba Kathryn , Aberg Judith A. , Gardner Edward M. , Goodman Anna L. , Kumarasamy N. , Vasudeva Shikha , Vock David M. , North Crystal M. , Lundgren Jens , Aggarwal Neil R. ,   for the STRIVE Network and TICO Trial Study Group
Published: January 2025

Abstract

Background
Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.

Methods
Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.9 cells/uL), D0 severe lymphopenia (ALC < 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. Logistic regression was used to assess relationships between clinical variables and D0 lymphopenia or lymphopenia trajectory.

Results
D0 lymphopenia (1426/2579) and severe lymphopenia (636/2579) were associated with increased mortality (aHR 1.48; 1.08, 2.05, p = 0.016 and aHR 1.60; 1.20, 2.14, p = 0.001) and decreased recovery (aRRR 0.90; 0.82, 0.99, p = 0.033 and aRRR 0.78; 0.70, 0.87, p < 0.001 respectively). Trial participants with persistent D5 lymphopenia had increased mortality, and increased secondary infections, and participants with persistent or new lymphopenia had impaired recovery, as compared to participants with no lymphopenia. Persistent and new lymphopenia were associated with older age, male sex; prior immunosuppression, heart failure, aspirin use, and normal body mass index; biomarkers of organ damage (renal and lung), and ineffective immune response (elevated IL-6 and viral nucleocapsid antigen levels). Similar results were observed with severe lymphopenia.

Conclusions
Lymphopenia was predictive of severe COVID-19 outcomes, particularly when persistent or new during hospitalization. A better understanding of the underlying risk factors for lymphopenia will help illuminate disease pathogenesis and guide management strategies.