bluuebunny/crossref_metadata_2025_split huggingface dataset:
Halliday, Critical Discourse Analysis and ideology
Authors: Lukin Annabelle 
Published: December 2024

Abstract
While Halliday’s work has been a source of inspiration to the fields of Critical Linguistics and Critical
Discourse Analysis, Halliday has never been embraced by either school. This paper reviews the engagement of CL and CDA with
Halliday, examining what ideas were borrowed, and what was either rejected or modified beyond recognition. It then examines how
and why the key working assumptions in Halliday’s framework — in particular, metafunction, realisation and instantiation — are
essential to understanding the empiric, ideological power of language. As humanity heads deeper into its greatest crisis and
challenge, a clear-sighted understanding of the power of language is more important than ever. Halliday’s attention to
understanding language as a sociological phenomenon makes his theory ideal for linguistic projects trying to deconstruct and
understand the force of the most consequential ideologies in human societies.
The function of Theme in Spanish
Authors: Moyano Estela Ines 
Published: December 2024

Abstract
The main objective of this paper is to outline the system of theme in Spanish starting from its realisation in texts (Martin 2013). In order to do this, Halliday’s definition of Theme is revised and the distinction he proposes between the definition of a function and its means of realisation is followed (Halliday 1985, 1994). Then, a brief corpus of text instantiating different genres is analysed, considering different options of mood in the clause. The perspective assumed is language typology in systemic functional linguistics (Martin 1983; Caffarel et al. 2004a; Quiroz 2013; Martin et al. 2023), which highlights the peculiar characteristics of the language at stake based on patterns found in actual discourse and observes the phenomenon under study from above, from around and from below (Matthiessen and Halliday 2009).
Continuum theory of electrostatic-elastic coupling interactions in colloidal crystals
Authors: Wu Hao , Ou-Yang Zhong-Can , Podgornik Rudolf 
Published: December 2024

Abstract
A mobile Coulomb gas permeating a fixed background crystalline lattice of charged colloidal crystals is subject to an electrostatic-elastic coupling, which we study on the continuum level by introducing a minimal coupling between electrostatic and displacement fields. We derive linearized, Debye–Hückel-like mean-field equations that can be analytically solved, incorporating the minimal coupling between electrostatic and displacement fields leading to an additional effective attractive interaction between mobile charges that depends in general on the strength of the coupling between the electrostatic and displacement fields. By analyzing the Gaussian fluctuations around the mean-field solution we also identify and quantify the region of its stability in terms of the electrostatic-elastic screening length. This detailed continuum theory incorporating the standard lattice elasticity and electrostatics of mobile charges provides a baseline to investigate the electrostatic-elastic coupling for microscopic models in colloid science and materials science.
Coupled channel analysis of neutron transfer in 6,7Li-induced reactions around the Coulomb barrier
Authors: Sharma Himanshu , Kumar Rishabh , MAITI MOUMITA 
Published: December 2024

Abstract
The coupled reaction channel approach has proven to be quite effective in explaining the mechanism of nucleon transfer in heavy-ion reactions. Nevertheless, significant ambiguities remain regarding the selection of potential parameters and the states of the nuclei that should be coupled together for a specific reaction channel. Using the coupled reaction channel formalism, we have analyzed the excitation functions for one- and two-neutron transfer in 6,7Li-induced reactions on various targets. Spectroscopic amplitudes are taken from existing literature and shell model calculations. The one-neutron transfer cross sections from 6Li+93Nb and 7Li+115In reactions are reasonably well reproduced by coupled reaction channel calculations. A reasonable match for the measured cross sections was obtained for the two-neutron transfer in 7Li+181Ta reaction by employing the extreme cluster model.
R&D of the cluster finding algorithm for CMS iRPC detector
Authors: Hou Q. , Liu Z.-A. , Zhao J. , Diao W. , Song J. , Cao P. , Kou H. , Gong W. , Wang N. , Mota Amarilo K. , Samalan A. , Skovpen K. , Tytgat M. , Alves G. , Coelho E.A. , Marujo F. , Barroso Ferreira Filho M. , Da Costa E.M. , De Jesus Damiao D. , Ferreira B.C. , Fonseca De Souza S. , Gomes De Souza R. , Mundim L. , Nogima H. , Pinheiro J.P. , Santoro A. , Thiel M. , Aleksandrov A. , Hadjiiska R. , Iaydjiev P. , Shopova M. , Soultanov G. , Dimitrov A. , Litov L. , Pavlov B. , Petkov P. , Petrov A. , Shumka E. , Qian S.J. , Avila C. , Barbosa D. , Cabrera A. , Florez A. , Reyes Vega J. , Assran Y. , Crotty I. , Mahmoud M.A. , Aly R. , Balleyguier L. , Chen X. , Combaret C. , Galbit G. , Gouzevitch M. , Grenier G. , Laktineh I. , Luciol A. , Mirabito L. , Tromeur W. , Bagaturia I. , Kemularia O. , Lomidze I. , Tsamalaidze Z. , Amoozegar V. , Boghrati B. , Ebrahimi M. , Esafndi F. , Hosseini Y. , Mohammadi Najafabadi M. , Zareian E. , Abbrescia M. , De Filippis N. , Iaselli G. , Loddo F. , Pugliese G. , Ramos D. , Benussi L. , Bianco S. , Meola S. , Piccolo D. , Buontempo S. , Carnevali F. , Lista L. , Paolucci P. , Braghieri A. , Salvini P. , Montagna P. , Riccardi C. , Vitulo P. , Asilar E. , Kim T.J. , Ryou Y. , Choi S.Y. , Hong B. , Lee K.S. , Goh J. , Lee Y. , Pedraza I. , Uribe Estrada C. , Castilla-Valdez H. , Fernandez R.L. , Sanchez-Hernandez A. , Ramirez-Garcia M. , Ramirez Guadarrama D.L. , Shah M.A. , Vazquez E. , Zaganidis N. , Radi A. , Ahmad A. , Asghar I. , Hoorani H. , Muhammad S. , Eysermans J. ,   the CMS Muon Group
Published: December 2024

Abstract
The Compact Muon Solenoid (CMS) experiment will undergo phase-II upgrade to enhance the capacity of detectors in the High-Luminosity Large Hadron Collider era. An important extension involves the installation of the Improved Resistive Plate Chambers (iRPC) in the most forward part of the endcap muon system. The iRPC detector addresses the efficiency drop experienced by the current CMS trigger system for single muon triggers in the high pseudorapidity region. It features a double-ended read-out method, allowing the determination of the hit position along the strip using the time difference between signals from both ends. This feature provides precise spatial information for clustering. To utilize this feature and integrate iRPC cluster information into the CMS trigger system, this paper proposes a 2-Dimensional (2D) cluster-finding algorithm. This algorithm provides the 2D coordinates to CMS trigger system, with each cluster being timestamped to reduce time ambiguity in endcap trajectory reconstruction. The proposed algorithm was implemented in the firmware of the iRPC Back-End Electronics and evaluated using a dedicated cosmic muon setup. The results show a position precision of 2.55 cm and an algorithm efficiency better than 99%, demonstrating the algorithm's potential to improve muon detection and trigger efficiency in the CMS endcap region.
Nanoliposome functionalized colloidal GelMA inks for 3D printing of scaffolds with multiscale porosity
Authors: Omidvari Elaheh , Samandari Mohamadmahdi , Ghanbariamin Delaram , Lara Evelyn Mollocana , Quint Jacob , Saeedinejad Farnoosh , Bouizi Younes , Bouguet-Bonnet Sabine , Elkhoury Kamil , Sanchez-Gonzalez Laura , Chen Yupeng , Kahn Cyril , Tamayol Ali , Arab-Tehrany Elmira 
Published: December 2024

Abstract
Bioprinting has enabled the creation of intricate scaffolds that replicate the physical, chemical, and structural characteristics of natural tissues. Recently, hydrogels have been used to fabricate such scaffolds for several biomedical applications and tissue engineering. However, the small pore size of conventional hydrogels impedes cellular migration into and remodeling of scaffolds, diminishing their regenerative potential. Porous scaffolds have been utilized for their improved diffusion of nutrients, dissolved oxygen, and waste products. However, traditional methods of generating porous structures require multiple processing steps, making them incompatible with bioprinting. Recently, we developed a method to generate multi-scale porous structures by foaming hydrogel precursors prior to printing to form colloidal bioinks. Here, to further improve the biological, mechanical, and physical properties, we functionalize colloidal bioinks with nanoliposomes (NLs), one of the most promising methods for bioactive delivery. We assess the impact of the concentration of NL on the characteristics of bioinks made from gelatin methacryloyl (GelMA) and their resulting scaffolds. Anionic liposomes made from rapeseed lecithin of 110 nm were synthesized and found to be stable over several weeks. Increasing concentrations of NL decreased the zeta potential and increased the viscosity of foamed bioinks, improving their rheological properties for printing. Furthermore, the incorporation of NL allowed for precise adjustment of the macropore size and bulk mechanical properties without any chemical interaction or impact on photocrosslinking. The nanofunctionalized foam bioinks, composed exclusively of natural components, demonstrated significant antioxidant activity and were printed into multilayered scaffolds with high printability. The foam-embedded NL showed remarkable biocompatibility with myoblasts, and cell-laden bioinks were able to be successfully bioprinted. Due to their high biocompatibility, tunable mechanical properties, printability, and antioxidant behavior, the nanofunctionalized porous scaffolds have promise for a variety of biomedical applications, including those that require precise delivery of therapeutic substances and tissue engineering.
Synthesis of polyaniline nanomaterials for an effective supercapacitor applications
Authors: Ayalew Melese Yalew , Bekele Endrias Adane , Melak Fekadu , Wangatia Lodrick Monieko , Femi Olu Emmanuel , Wubieneh Tessera Alemneh , Assegie Addisu Alemayehu , Ashebir Getinet Yenealem , Ayele Delele Worku , Worku Ababay Ketema , Teshager Minbale Admas , Alemu Tadele Ageru , Negedu Solomon Demiss 
Published: December 2024

Abstract
Polyaniline-based materials have been widely used for supercapacitors due to their outstanding properties, such as high specific capacitance, excellent electrochemical properties, and ease of synthesis methods; however, the short-cycle stability of PANI-based supercapacitors and swelling and shrinking of polymeric structures limit their commercialization. Herein, we synthesized polyaniline (PANI) nanomaterials, which meet high specific capacitance through the chemical oxidative polymerization of aniline with ammonium persulfate (APS) in aqueous salicylic acid. The electrode materials were characterized using UV–vis, TGA, SEM, XRD, BAS-50 W potentiostat, and FTIR instrumentations. The electrical conductivity of the prepared materials was analyzed and found to be relatively high. The electrochemical supercapacitance performance of PANI nanomaterials was characterized using cyclic voltammetry. The polyaniline nanomaterials with a [salicylic acid]/[aniline] molar ratio of 0.8 showed a maximum specific capacitance of 688.5 Fg-1 at a scan rate of 50 mV s−1. Polyaniline nanomaterials were found to exhibit better specific capacitance when compared to bulk polyanilines. Thus, PANI nanomaterials have been found to be a promising alternative for supercapacitor applications.
Stochastic memristive devices for low cost learning of spatiotemporal signals in spiking neural networks
Authors: Fida Aabid Amin , Mittal Sparsh 
Published: December 2024

Abstract
Resistive switching devices are an excellent candidate for dedicated neural network hardware. They offer extremely low-power in-memory computing substrates for edge computing tasks like health monitoring. But, the imprecise and random conductance changes in these devices make deploying neural networks on such hardware significantly challenging. In this regard, biological random networks, known as liquid state machines (LSM), can be helpful. Using them as inspiration we can utilize the imprecise nature of the switching process for a low-cost training approach to learning in spiking recurrent neural networks. We rely on the inherent non-determinism associated with the conductance states in memristive devices to initialize the random weight matrices within a memristive LSM. We also utilize the randomness of the resistive states to introduce heterogeneity in the neuron parameters. The significance of the proposed approach is evaluated using arrhythmia and seizure detection edge computing tasks. For classification tasks using two datasets, our approach reduces the number of computational operations in the backward pass by factors of up to 66 × for the MIT-BIH arrhythmia dataset and 74 × for the CHB-MIT epileptic seizure dataset. The heterogeneity improves the network performance. We also show that our approach is resilient to write noise in memristive devices.
Fraïssé’s conjecture, partial impredicativity and well-ordering principles, part I
Authors: Freund Anton 
Published: December 2024

Fraïssé’s conjecture (proved by Laver) is implied by the

Π
1
1

\Pi ^1_1

-comprehension axiom of reverse mathematics, as shown by Montalbán. The implication must be strict for reasons of quantifier complexity, but it seems that no better bound has been known. We locate such a bound in a hierarchy of Suzuki and Yokoyama, which extends Towsner’s framework of partial impredicativity. Specifically, we show that Fraïssé’s conjecture is implied by a principle of pseudo

Π
1
1

\Pi ^1_1

-comprehension. As part of the proof, we introduce a cofinite version of the

Δ
2
0

\Delta ^0_2

-Ramsey theorem, which may be of independent interest. We also relate pseudo

Π
1
1

\Pi ^1_1

-comprehension to principles of pseudo

β
\beta

-model reflection (due to Suzuki and Yokoyama) and reflection for

ω
\omega

-models of transfinite induction (studied by Rathjen and Valencia-Vizcaíno). In a forthcoming companion paper, we characterize pseudo

Π
1
1

\Pi ^1_1

-comprehension by a well-ordering principle, to get a transparent combinatorial bound for the strength of Fraïssé’s conjecture.
Linking phenology, harvest index, and genetics to improve chickpea grain yield
Authors: Gimenez Raul , Lake Lachlan , Cossani Cesar Mariano , Ortega Martinez Raul , Hayes Julie E , Dreccer Maria Fernanda , French Robert , Weller James L , Sadras Victor O 
Published: December 2024

Abstract
Understanding phenology and its regulation is central for the agronomic adaptation of chickpea. We grew 24 chickpea (Cicer arietinum) genotypes in 12 environments to analyse the environmental and genotypic drivers of phenology, associations between phenology and yield, and phenotypes associated with allelic variants of three flowering related candidate loci: CaELF3a, a cluster of three FT genes on chromosome 3, and an orthologue of the floral promoter GIGANTEA on chromosome 4. A simple model with three genotype-specific parameters explained the differences in flowering response to daylength. Environmental factors causing flower abortion, such as low temperature and radiation and high humidity, led to a longer flowering-to-podding interval. Late podding associated with poor partition to grain, limiting yield in favourable environments. The genotype Sonali, carrying the early allele of Caelf3a (elf3a), was generally the earliest to set pod and had low biomass but the highest harvest index. Genotypes combining the early variants of GIGANTEA and FT orthologues featured early reproduction and high harvest index, returning high yield in favourable environments. Our results emphasize the importance of pod set, rather than flowering, as a target for breeding, agronomic, and modelling applications.
Precision medicine and choosing a biologic in asthma: understanding the current state of knowledge for predictors of response and clinical remission
Authors: Balasubramanyam Sadhana , George Elizabeth K. , Wang Eileen 
Published: December 2024

Purpose of review
We review updated key literature on comparative meta-analyses and real-world effectiveness of asthma biologics, with a focus on predictors of response and clinical remission while highlighting ongoing knowledge gaps. We aim to provide insight into the many factors to consider when choosing a biologic to treat uncontrolled moderate to severe asthma.

Recent findings
Predictors of response included higher type 2 (T2) biomarkers, shorter duration of asthma, and presence of key T2-related comorbidities. There were outcome-related variations in predictors. Predictors of clinical remission included better controlled asthma, better lung function, and higher T2 biomarkers. Few real-world studies included those treated with tezepelumab, a clear knowledge gap.

Summary
Asthma biologics demonstrate clear real-world effectiveness. There have been significant strides in better understanding predictors of response or clinical remission to guide management, yet ongoing knowledge gaps and the heterogeneity of asthma preclude a simple algorithmic approach. Our tools for precision medicine include consideration of clinical phenotypes and shared decision making while striving to achieve clinical remission in all our patients with asthma.
Moving Forward Together: Establishing an Actionable Pedagogical Approach to Ableism-Aware Medical Education
Authors: Tolchin Dorothy W. , Ankam Nethra S. , Bosques Glendaliz , Kasi Ravi , Sauter Carley , Therattil Maya , Rydberg Leslie 
Published: December 2024

Abstract
As a form of discrimination, ableism impacts access to and the experience of clinical care for patients with disabilities as well as the daily experiences of learners and clinicians with disabilities. Ableist beliefs and practices conflict with physicians’ professional responsibilities and legal obligations to provide care that is nondiscriminatory and accessible. An actionable pedagogical approach within medical education is needed to prepare a physician workforce that is able to meaningfully identify and mitigate ableism at all levels of the health care system.
In this article, the authors propose a 3-pronged approach to ableism-aware medical education, building on frameworks that have been articulated for addressing other forms of discrimination to set forth a practical framework easily adopted by educators who may not be experts in ableism and its impact. The 3-pronged approach aligns with American Medical Association and Association of American Medical Colleges perspectives on advancing health equity and is inclusive of priority areas articulated by stakeholders, including those living with disability, those teaching about disability, and those advancing equity within medicine more broadly. The authors provide strategies relevant to medical students, faculty, and institutions, recognizing that ableism exists—and can be addressed—on multiple levels.
Manual Therapy in Patients With Chronic Obstructive Pulmonary Disease: An Overview of Systematic Reviews With Meta-Analysis and Meta-Regression
Authors: Forner-Álvarez Carlos , Cuenca-Martínez Ferran , Sempere-Rubio Núria , Carrasco-González Enrique , Grande-Alonso Mónica , Martínez-Arnau Francisco M. 
Published: December 2024

Purpose:
The main aim was to assess the effects of manual therapy (MT) in patients with chronic obstructive pulmonary disease (COPD).

Methods:
We searched in Medline (PubMed), Embase, CINAHL, and Scopus. The outcome measures were pulmonary function parameters (FEV1 and forced vital capacity [FVC]) and exercise capacity. Methodological quality was analyzed using AMSTAR-2. The Graphical Representation of Overlap for OVErviews tool (GROOVE) was used to explore the overlap of primary studies among systematic reviews. Pooled effects were calculated as standardized mean differences (SMDs) and 95% confidence intervals for the outcomes using a random effects model.

Results:
Seven systematic reviews were included, from which a total of 9 primary studies were found. The meta-analysis showed no significant differences in favor of the MT group in FEV1 (SMD = −0.27 [−0.60 to 0.05, P = .051]) and FVC (SMD = −0.40 [−0.83 to 0.04, P = .05]). However, the meta-analysis showed significant differences in favor of the MT group in exercise capacity with a small clinical effect (SMD = −0.47 [−0.71 to −0.23], P < .001). The meta-regression analysis revealed that the intervention time and the number of sessions of MT were not associated with the improvement of pulmonary function parameters (R2 = 0.5%–14.94%, P > .05) nor exercise capacity (R2 = 5.56%–13.56%, P > .05).

Conclusions:
MT does not seem to have a significant impact on the improvement of pulmonary function in patients with COPD, although it appears to improve exercise capacity. Finally, more intervention time as well as more sessions of MT do not seem to result in a greater clinical effect in patients with COPD.
Optimizing Long COVID Outcomes: An Interdisciplinary Survey of U.S. Rehabilitation Providers
Authors: Clancy Malachy J. , Dekerlegand Robert L. 
Published: December 2024

Purpose:
Clinical practice guidelines (CPGs) can optimize Long COVID rehabilitation outcomes; however, an understanding of the target condition and available resources influence the adoption of CPGs. This study explored rehabilitation provider's awareness of Long COVID and their use of associated CPGs within the United States.

Methods:
A cross-sectional sample of 300 rehabilitation providers (100 physical therapists, 100 occupational therapists, 100 speech-language pathologists) were randomly selected from the state with the highest prevalence of Long COVID within each of the 9 U.S. geographic divisions. A total of 2700 participants were invited to complete a survey exploring their awareness of Long COVID and use of CPGs.

Results:
Surveys were received from 299 providers (11.6% response rate) across all identified states and disciplines. Most (70.2%) reported awareness of Long COVID symptomatology. Few were aware of relevant CPGs (12.7%) or used them (7.4%) in practice. Although 39.8% reported awareness of symptom exacerbation triggers, only 8.3% knew of associated screening tools. Similar trends were noted when responses were limited to those who treat Long COVID. Nearly all respondents (88.2%) believed that Long COVID will persist in the rehabilitation community.

Conclusion:
Rehabilitation providers perceive that they are aware of Long COVID symptomatology, although there is a lack of awareness and application of relevant CPGs across disciplines. Discrepancies between providers' perceived and actual understanding of Long COVID rehabilitation likely exist that can impede outcomes if evidence-based resources are underused. Interdisciplinary initiatives to enhance evidence translation to rehabilitation are needed to optimize Long COVID practice.