bluuebunny/crossref_metadata_2025_split huggingface dataset:
The physical interpretation of point interactions in one-dimensional relativistic quantum mechanics
Authors: Bonin C A , Lunardi José T , Manzoni Luiz A 
Published: February 2024

Abstract
We investigate point interactions (PIs) in one-dimensional relativistic quantum mechanics using a distributional approach based on Schwartz’s theory of distributions. From the properties of the most general covariant distribution describing relativistic PIs (RPIs) we obtain the physical parameters associated with the point potentials that behave as a scalar, a pseudo-scalar and a vector under Lorentz transformations. Then, we establish a one-to-one relationship between these physical parameters and the well-known set of four parameters giving the boundary conditions at the singular point(s), which define a self-adjoint Hamiltonian. By considering the non-relativistic limit, we obtain the most general PI in the Schrödinger equation in terms of these four physical point potentials. Finally, we study the symmetries of the RPIs under space inversion, time reversal and charge conjugation, and investigate how requirements of invariance under these symmetry transformations can be used to restrict the set of physical parameters.
Physics informed token transformer for solving partial differential equations
Authors: Lorsung Cooper , Li Zijie , Barati Farimani Amir 
Published: February 2024

Abstract
Solving partial differential equations (PDEs) is the core of many fields of science and engineering. While classical approaches are often prohibitively slow, machine learning models often fail to incorporate complete system information. Over the past few years, transformers have had a significant impact on the field of Artificial Intelligence and have seen increased usage in PDE applications. However, despite their success, transformers currently lack integration with physics and reasoning. This study aims to address this issue by introducing Physics Informed Token Transformer (PITT). The purpose of PITT is to incorporate the knowledge of physics by embedding PDEs into the learning process. PITT uses an equation tokenization method to learn an analytically-driven numerical update operator. By tokenizing PDEs and embedding partial derivatives, the transformer models become aware of the underlying knowledge behind physical processes. To demonstrate this, PITT is tested on challenging 1D and 2D PDE operator learning tasks. The results show that PITT outperforms popular neural operator models and has the ability to extract physically relevant information from governing equations.
The Gulf in Malayalam Cinema
Authors: Karinkurayil Mohamed Shafeeq 
Published: February 2024

Abstract
This chapter looks at the representation of the Gulf and the Gulf migrant in Malayalam cinema. Beginning with Vilkkanundu Swapnangal, the first ever Malayalam film to be shot on location in the Gulf, the chapter proceeds to present in broad brushstrokes the representation of the migrant in mainstream Malayalam cinema. While the Gulf was hitherto imagined to be a space of riches and illicit wealth, with the coming of new technologies in the early twenty-first century, there is a shift in this representation. The Home Cinema, a marginal film genre, associated with Salam Kodiyathur, is an emblem of this new energy in narrating the migrant story. The chapter recognizes the appeal of Kodiyathur films in marrying the discourse of good cinema that marked the debates in the early twenty-first century Malayalam public sphere with that of Islamic religiosity. The last section of the chapter reads the Gulf migrant experience as a structuring factor in the dominant genre of the 1980s and early 1990s—the laughter film—even as the Gulf was absent as a diegetic space.
Translating the Gulf
Authors: Karinkurayil Mohamed Shafeeq 
Published: February 2024

Abstract
This chapter looks at the specific ways in which select pieces of Malayalam Gulf narratives establish equivalences between the Gulf migrant experiences and life in Kerala. The chapter begins with arguing for a concept of migrant literature as different from diasporic literature. The changed conditions of contemporary life require us to study migrant narratives beyond the framework of alienation and trauma. The subsequent sections of the chapter focus on select Gulf memoirs and novels. The Gulf is constructed in these works as singular and private experience of the migrants. At the same time, the authors employ multiple strategies such as relay of signifiers, metaphors, idioms, and so on through which such a singular experience is sought to be translated, however inadequately, into a collective experience that may spur collective action.
Systematic Review Examining the Behavior Change Techniques in Medication Adherence Intervention Studies Among People With Type 2 Diabetes
Authors: Teo Vivien , Weinman John , Yap Kai Zhen 
Published: February 2024

AbstractBackgroundAlthough previous systematic reviews have studied medication adherence interventions among people with Type 2 diabetes (PwT2D), no intervention has been found to improve medication adherence consistently. Furthermore, inconsistent and poor reporting of intervention description has made understanding, replication, and evaluation of intervention challenging.PurposeWe aimed to identify the behavior change techniques (BCTs) and characteristics of successful medication adherence interventions among PwT2D.MethodsA systematic search was conducted on Medline, Embase, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus. Studies were included if they were randomized controlled trials with BCT-codable interventions designed to influence adherence to anti-diabetic medication for PwT2D aged 18 years old and above and have medication adherence measure as an outcome.ResultsFifty-five studies were included. Successful interventions tend to target medication adherence only, involve pharmacists as the interventionist, contain “Credible source” (BCT 9.1), “Instruction on how to perform the behaviour” (BCT 4.1), “Social support (practical)” (BCT 3.2), “Action planning” (BCT 1.4), and/ or “Information about health consequences” (BCT 5.1). Very few interventions described its context, used theory, examined adherence outcomes during the follow-up period after an intervention has ended, or were tailored to address specific barriers of medication adherence.ConclusionWe identified specific BCTs and characteristics that are commonly reported in successful medication adherence interventions, which can facilitate the development of future interventions. Our review highlighted the need to consider and clearly describe different dimensions of context, theory, fidelity, and tailoring in an intervention.
Xylem-dwelling pathogen unaffected by local xylem vessel network properties in grapevines (Vitis spp.)
Authors: Fanton Ana Clara , Bouda Martin , Brodersen Craig 
Published: February 2024

Abstract

Background and aims
Xylella fastidiosa (Xf) is the xylem-dwelling bacterium associated with Pierce’s disease (PD), which causes mortality in agriculturally important species, such as grapevine (Vitis vinifera). The development of PD symptoms in grapevines depends on the ability of Xf to produce cell-wall-degrading enzymes to break up intervessel pit membranes and systematically spread through the xylem vessel network. Our objective here was to investigate whether PD resistance could be mechanistically linked to xylem vessel network local connectivity.

Methods
We used high-resolution X-ray micro-computed tomography (microCT) imaging to identify and describe the type, area and spatial distribution of intervessel connections for six different grapevine genotypes from three genetic backgrounds, with varying resistance to PD (four PD resistant and two PD susceptible).

Key results
Our results suggest that PD resistance is unlikely to derive from local xylem network connectivity. The intervessel pit area (Ai) varied from 0.07 ± 0.01 mm2 mm−3 in Lenoir to 0.17 ± 0.03 mm2 mm−3 in Blanc do Bois, both PD resistant. Intervessel contact fraction (Cp) was not statically significant, but the two PD-susceptible genotypes, Syrah (0.056 ± 0.015) and Chardonnay (0.041 ± 0.013), were among the most highly connected vessel networks. Neither Ai nor Cp explained differences in PD resistance among the six genotypes. Bayesian re-analysis of our data shows moderate evidence against the effects of the traits analysed: Ai (BF01 = 4.88), mean vessel density (4.86), relay diameter (4.30), relay density (3.31) and solitary vessel proportion (3.19).

Conclusions
Our results show that radial and tangential xylem network connectivity is highly conserved within the six different Vitis genotypes we sampled. The way that Xf traverses the vessel network may limit the importance of local network properties to its spread and may confer greater importance on host biochemical responses.
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies
Authors: Roy Samrat , Daniels Michael J , Roy Jason 
Published: February 2024

Summary
Mediation analysis with contemporaneously observed multiple mediators is a significant area of causal inference. Recent approaches for multiple mediators are often based on parametric models and thus may suffer from model misspecification. Also, much of the existing literature either only allow estimation of the joint mediation effect or estimate the joint mediation effect just as the sum of individual mediator effects, ignoring the interaction among the mediators. In this article, we propose a novel Bayesian nonparametric method that overcomes the two aforementioned drawbacks. We model the joint distribution of the observed data (outcome, mediators, treatment, and confounders) flexibly using an enriched Dirichlet process mixture with three levels. We use standardization (g-computation) to compute all possible mediation effects, including pairwise and all other possible interaction among the mediators. We thoroughly explore our method via simulations and apply our method to a mental health data from Wisconsin Longitudinal Study, where we estimate how the effect of births from unintended pregnancies on later life mental depression (CES-D) among the mothers is mediated through lack of self-acceptance and autonomy, employment instability, lack of social participation, and increased family stress. Our method identified significant individual mediators, along with some significant pairwise effects.
Towards a Retributive Concept of Re-entry
Authors: Dagan Netanel , Cnaan Ram 
Published: February 2024

Abstract
Retributive justice is the preferred penal theory in many countries, especially for serious offences, and is a predominant justification for imprisonment. Retributivists, however, have little to say regarding the state’s role towards returning citizens after release from prison. In reality, paroled individuals struggle with continuing surveillance, poverty, stigma and other significant barriers to housing, employment and health. Thus, rates of recidivism are high. Re-entry services can help, but they are few. Without a proper understanding of the implications of the retributive model, advocates for re-entry services struggle to gain public support or the attention of policy-makers. Recognising that retributivism is not a monolithic theory, and with a focus on the parole period, we argue that key sub-streams of retributivism offer a valuable support for understanding public responsibility for re-entry services. To that end, we offer a conceptual understanding of the core retributive principles that call upon governments to actively assist parolees. We do so by connecting re-entry to the retributive notions of unfair advantage, penal communication and moral reform. Finally, we emphasise two, often neglected, re-entry programmes that fit the core retributive principles and highlight implications for the parole process.
Visual Intrusion Detection Based On CBAM-Capsule Networks
Authors: Yang Zhongjun , Huang Qing , Wang Qi , Zong Xuejun , Ao Ran 
Published: February 2024

Abstract
Intrusion detection has become a research focus in internet information security, with deep learning algorithms playing a crucial role in its development. Typically, intrusion detection data are transformed into a two-dimensional matrix by segmenting, stacking and padding them with zeros for input into deep learning models. However, this method consumes computational resources and fails to consider the correlation between features. In this paper, we transform the data into images through visualization operations and propose an information entropy weighted scheme to optimize the collision element problem during the transformation process. This method enhances the correlation between pixel frame features, leading to approximately 2% improvement in accuracy of the classification model when using the generated image samples for detection in experiments. To address the issues of insensitivity to target feature locations and incomplete feature extraction in traditional neural networks, this paper introduces a new network model called CBAM-CapsNet, which combines the advantages of the lightweight Convolutional Block Attention Module and capsule networks. Experimental results on the UNSW-NB15 and IDS-2017 datasets demonstrate that the proposed model achieves accuracies of 92.94% and 99.72%, respectively. The F1 scores obtained are 91.83% and 99.56%, indicating a high level of detection.
SEDD: Robust Blind Image Watermarking With Single Encoder And Dual Decoders
Authors: Xiang Yuyuan , Wang Hongxia , Yang Ling , He Mingze , Zhang Fei 
Published: February 2024

Abstract
Blind image watermarking is regarded as a vital technology to provide copyright of digital images. Due to the rapid growth of deep neural networks, deep learning-based watermarking methods have been widely studied. However, most existing methods which adopt simple embedding and extraction structures cannot fully utilize the image features. In this paper, we propose a novel Single-Encoder-Dual-Decoder (SEDD) watermarking architecture to achieve high imperceptibility and strong robustness. Precisely, the single encoder utilizes normalizing flow to realize watermark embedding, which can effectively fuse the watermark and cover image. For watermark extraction, we introduce a parallel dual-decoder to improve the imperceptibility and extracting ability. Extensive experiments demonstrate that better watermark robustness and imperceptibility are obtained by SEDD architecture. Our method achieves a bit error rate less than 0.1% under most attacks such as JPEG compression, Gaussian blur and crop. Besides, the proposed method also obtains strong robustness under combined attacks and social platform processing.
Mainstreaming as a meta-process: A systematic review and conceptual model of factors contributing to the mainstreaming of radical and extremist positions
Authors: Rothut Sophia , Schulze Heidi , Rieger Diana , Naderer Brigitte 
Published: February 2024

Abstract
Over the past decade, extremists have increasingly aimed to integrate their ideologies into the center of society by changing the presentation of their narratives to appeal to a larger audience. This process is termed (strategic) mainstreaming. Although this phenomenon is not new, the factors that contribute to the mainstreaming of radical and extremist ideas have not been systematically summarized. To identify elements fostering mainstreaming dynamics, we conducted a systematic literature review of N = 143 studies. The results demonstrate that mainstreaming’s gradual and long-term nature makes it particularly difficult to operationalize, which is why it often remains a buzzword. In this article, we propose a novel conceptualization of mainstreaming, understanding it as two communicative steps (content positioning and susceptibility), and present 12 contributing factors. These factors can serve as starting points for future studies, helping to operationalize mainstreaming, empirically monitor it, and, subsequently, tackle its (long-term) effects.
Sequestosome 1 (p62) mitigates hypoxia-induced cardiac dysfunction by stabilizing hypoxia-inducible factor 1α and nuclear factor erythroid 2-related factor 2
Authors: Ghosh Rajeshwary , Fatahian Amir Nima , Rouzbehani Omid M T , Hathaway Marissa A , Mosleh Tariq , Vinod Vishaka , Vowles Sidney , Stephens Sophie L , Chung Siu-Lai Desmond , Cao Isaac D , Jonnavithula Anila , Symons J David , Boudina Sihem 
Published: February 2024

Abstract

Aims
Heart failure due to ischaemic heart disease (IHD) is a leading cause of mortality worldwide. A major contributing factor to IHD-induced cardiac damage is hypoxia. Sequestosome 1 (p62) is a multi-functional adaptor protein with pleiotropic roles in autophagy, proteostasis, inflammation, and cancer. Despite abundant expression in cardiomyocytes, the role of p62 in cardiac physiology is not well understood. We hypothesized that cardiomyocyte-specific p62 deletion evokes hypoxia-induced cardiac pathology by impairing hypoxia-inducible factor 1α (Hif-1α) and nuclear factor erythroid 2-related factor 2 (Nrf2) signalling.

Methods and results
Adult mice with germline deletion of cardiomyocyte p62 exhibited mild cardiac dysfunction under normoxic conditions. Transcriptomic analyses revealed a selective impairment in Nrf2 target genes in the hearts from these mice. Demonstrating the functional importance of this adaptor protein, adult mice with inducible depletion of cardiomyocyte p62 displayed hypoxia-induced contractile dysfunction, oxidative stress, and cell death. Mechanistically, p62-depleted hearts exhibit impaired Hif-1α and Nrf2 transcriptional activity. Because findings from these two murine models suggested a cardioprotective role for p62, mechanisms were evaluated using H9c2 cardiomyoblasts. Loss of p62 in H9c2 cells exposed to hypoxia reduced Hif-1α and Nrf2 protein levels. Further, the lack of p62 decreased Nrf2 protein expression, nuclear translocation, and transcriptional activity. Repressed Nrf2 activity associated with heightened Nrf2-Keap1 co-localization in p62-deficient cells, which was concurrent with increased Nrf2 ubiquitination facilitated by the E3 ligase Cullin 3, followed by proteasomal-mediated degradation. Substantiating our results, a gain of p62 in H9c2 cells stabilized Nrf2 and increased the transcriptional activity of Nrf2 downstream targets.

Conclusion
Cardiac p62 mitigates hypoxia-induced cardiac dysfunction by stabilizing Hif-1α and Nrf2.
Nutritional support in the cardiac intensive care unit
Authors: Frederiks Pascal , Peetermans Marijke , Wilmer Alexander 
Published: February 2024

Abstract
Optimal care of critically ill patients in the cardiac intensive care unit includes adequate nutritional support. This review highlights the high prevalence of malnutrition in acute heart failure, acute coronary syndrome, cardiogenic shock, and post-cardiac arrest and its adverse impact on prognosis. There is a lack of robust evidence regarding appropriate nutritional support in this patient population. Initiation of nutritional support with a comprehensive assessment of the patient’s nutritional status is critical. High-risk cardiac patients who are not critically ill can receive oral nutrition adapted to individual risk factors or deficiencies, although overfeeding should be avoided in the acute phase. For critically ill patients at risk of or with malnutrition on admission, general principles include initiation of nutritional support within 48 h of admission, preference for enteral over parenteral nutrition, preference for hypocaloric nutrition in the first week of intensive care unit admission, and adequate micronutrient supplementation. Enteral nutrition in haemodynamically unstable patients carries a risk, albeit low, of intestinal ischaemia. In the case of malnutrition, the risk of refeeding syndrome should always be considered.
Early and mid-term outcomes after aortic valve replacement using a novel tissue bioprosthesis: a systematic review
Authors: Sef Davorin , Thet Myat Soe , Klokocovnik Tomislav , Luthra Suvitesh 
Published: February 2024

Abstract

OBJECTIVES
While current data show a clear trend towards the use of bioprosthetic valves during aortic valve replacement (AVR), durability of bioprosthetic valves remains the most important concern. We conducted a 1st systematic review of all available evidence that analysed early and mid-term outcomes after AVR using the Inspiris RESILIA™ bioprosthesis.

METHODS
A systematic literature search was performed to identify all relevant studies evaluating early and mid-term outcomes after AVR using the Inspiris RESILIA bioprosthesis and including at least 20 patients with no restriction on the publication date. Subgroup meta-analysis was performed to compare Inspiris RESILIA and PERIMOUNT Magna Ease bioprosthesis and to pool the early postoperative mortality and stroke rates.

RESULTS
A total of 416 studies were identified, of which 15 studies met the eligibility criteria. The studies included a total of 3202 patients with an average follow-up of up to 5.3 years. The average age of patients across the studies was 52.2–75.1 years. Isolated AVR was performed in 39.0–86.4% of patients. In-hospital or 30-day postoperative mortality was 0–2.8%. At the mid-term follow-up, freedom from all-cause mortality was up to 85.4%. Among studies with mid-term follow-up, trace/mild paravalvular leak was detected in 0–3.0%, while major paravalvular leak was found only in up to 2.0% of patients. No statistically significant differences in terms of mortality (P = 0.98, odds ratio 1.02, 95% confidence interval 0.36–2.83) and stroke (P = 0.98, odds ratio 1.01, 95% confidence interval 0.38–2.73) between the Inspiris RESILIA bioprosthesis and PERIMOUNT Magna Ease bioprosthesis were observed in the subgroup meta-analysis.

CONCLUSIONS
Mid-term data on the safety and haemodynamic performance of the novel aortic bioprosthesis are encouraging. Further comparative studies with other bioprostheses and longer follow-up are still required to endorse durability and safety of the novel bioprosthesis.
Association between cardiovascular risk profile and impaired microvascular function in a Swedish middle-aged cohort (the SCAPIS study)
Authors: Bergstrand Sara , Jonasson Hanna , Fredriksson Ingemar , Larsson Marcus , Östgren Carl Johan , Strömberg Tomas 
Published: February 2024

Abstract

Aims
The aim was to investigate the relationship between microvascular function, cardiovascular risk profile, and subclinical atherosclerotic burden.

Methods and results
The study enrolled 3809 individuals, 50–65 years old, participating in the population-based observational cross-sectional Swedish CArdioPulmonary bioImage Study. Microvascular function was assessed in forearm skin using an arterial occlusion and release protocol determining peak blood oxygen saturation (OxyP). Cardiovascular risk was calculated using the updated Systematic Coronary Risk Evaluation [SCORE2; 10-year risk of fatal and non-fatal cardiovascular disease (CVD) events]. The OxyP was compared with coronary artery calcification score (CACS) and to plaques in the carotid arteries. Individuals with OxyP values in the lowest quartile (Q1; impaired microvascular function) had a mean SCORE2 of 5.8% compared with 3.8% in those with the highest values of OxyP (Q4), a relative risk increase of 53%. The risk of having a SCORE2 &gt; 10% was five times higher for those in Q1 (odds ratio: 4.96, 95% confidence interval: 2.76–8.93) vs. Q4 when adjusting for body mass index and high-sensitivity C-reactive protein. The OxyP was lower in individuals with CACS &gt; 0 and in those with both carotid plaques and CACS &gt; 0, compared with individuals without subclinical atherosclerotic burdens (87.5 ± 5.6% and 86.9 ± 6.0%, vs. 88.6 ± 5.8%, P &lt; 0.01).

Conclusion
In a population without CVD or diabetes mellitus, impaired microvascular function is associated with cardiovascular risk profiles such as higher SCORE2 risk and CACS. We suggest that OxyP may serve as a microcirculatory functional marker of subclinical atherosclerosis and CVD risk that is not detected by structural assessments.