bluuebunny/crossref_metadata_2025_split huggingface dataset:
DoE-Aided Optimization of RP-HPLC Method for Simultaneous Estimation of Amoxicillin and Tinidazole Loaded Mucoadhesive GRDDS Formulation for the Treatment of H. pylori
Authors: Saha Moumita , Gupta Ashutosh , Shetty Shiran , Mutalik Srinivas , Nandakumar K. , Raghu Chandrashekar H. , Dhas Namdev , Moorkoth Sudheer 
Published: July 2024

AbstractHelicobacter pylori (H. pylori) infection is one of the primary risk factors of peptic ulcer disease worldwide. Treatment of H. pylori with the conventional dosage form is often challenging due to the ineffective reach of the antibiotics to the inner layers of gastric mucosa, where the organism resides. This study developed an eco-friendly, stability-indicating RP-HPLC method to simultaneously estimate amoxicillin and tinidazole from mucoadhesive formulation targeting H. pylori infection. The mucoadhesive GRDDS formulation of antibiotics was developed with a goal of improving bioavailability at the gastric mucosa. The multivariate Box–Behnken design (BBD) was utilized to optimize chromatographic parameters. Independent variable such as ratio of mobile phase, flow rate, pH and injections volume were optimized using DoE, and analyzed using perturbation plots. A desirability of 0.981 was achieved for the optimized variables. The optimized method utilized methanol and phosphate buffer (25:75) at pH 6.3 as the mobile phase in an isocratic elution mode on a Luna ODS C18 column kept at 25 °C as the stationary phase. The method was linear from 0.25 to 20 µg/mL, for both the drugs with R2 values of 0.9993 and 0.9997 for amoxicillin and tinidazole, respectively. This validated RP-HPLC technique demonstrated selectivity in the presence of possible degradation products and excipients present in the mucoadhesive GRDDS beads. The method was used for the determination of entrapment efficiency and in vitro release profile for tinidazole and amoxicillin in the mucoadhesive GRDDS formulation.
Graphical Abstract
Inhibitory immune checkpoints suppress the surveillance of senescent cells promoting their accumulation with aging and in age-related diseases
Authors: Salminen Antero 
Published: July 2024

AbstractThe accumulation of pro-inflammatory senescent cells within tissues is a common hallmark of the aging process and many age-related diseases. This modification has been called the senescence-associated secretory phenotype (SASP) and observed in cultured cells and in cells isolated from aged tissues. Currently, there is a debate whether the accumulation of senescent cells within tissues should be attributed to increased generation of senescent cells or to a defect in their elimination from aging tissues. Emerging studies have revealed that senescent cells display an increased expression of several inhibitory immune checkpoint ligands, especially those of the programmed cell death protein-1 (PD-1) ligand-1 (PD-L1) proteins. It is known that the PD-L1 ligands, especially those of cancer cells, target the PD-1 receptor of cytotoxic CD8+ T and natural killer (NK) cells disturbing their functions, e.g., evoking a decline in their cytotoxic activity and promoting their exhaustion and even apoptosis. An increase in the level of the PD-L1 protein in senescent cells was able to suppress their immune surveillance and inhibit their elimination by cytotoxic CD8+ T and NK cells. Senescent cells are known to express ligands for several inhibitory immune checkpoint receptors, i.e., PD-1, LILRB4, NKG2A, TIM-3, and SIRPα receptors. Here, I will briefly describe those pathways and examine whether these inhibitory checkpoints could be involved in the immune evasion of senescent cells with aging and age-related diseases. It seems plausible that an enhanced inhibitory checkpoint signaling can prevent the elimination of senescent cells from tissues and thus promote the aging process.
Generative Artificial Intelligence as Hypercommons: Ethics of Authorship and Ownership
Authors: Islam Gazi , Greenwood Michelle 
Published: July 2024

AbstractIn this editorial essay, we argue that Generative Artificial Intelligence programs (GenAI) draw on what we term a “hypercommons”, involving collectively produced inputs and labour that are largely invisible or untraceable. We argue that automatizing the exploitation of common inputs, in ways that remix and reconfigure them, can lead to a crisis of academic authorship in which the moral agency involved in scholarly production is increasingly eroded. We discuss the relationship between the hypercommons and authorship in terms of moral agency and the ethics of academic production, speculating on different responses to the crisis of authorship as posed by GenAI.
Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges
Authors: Houssein Essam H. , Saad Mohammed R. , Djenouri Youcef , Hu Gang , Ali Abdelmgeid A. , Shaban Hassan 
Published: July 2024

AbstractMetaheuristic algorithms have wide applicability, particularly in wireless sensor networks (WSNs), due to their superior skill in solving and optimizing many issues in different domains. However, WSNs suffer from several issues, such as deployment, localization, sink node placement, energy efficiency, and clustering. Unfortunately, these issues negatively affect the already limited energy of the WSNs; therefore, the need to employ metaheuristic algorithms is inevitable to alleviate the harm imposed by these issues on the lifespan and performance of the network. Some associated issues regarding WSNs are modelled as single and multi-objective optimization issues. Single-objective issues have one optimal solution, and the other has multiple desirable solutions that compete, the so-called non-dominated solutions. Several optimization strategies based on metaheuristic algorithms are available to address various types of optimization concerns relating to WSN deployment, localization, sink node placement, energy efficiency, and clustering. This review reports and discusses the literature research on single and multi-objective metaheuristics and their evaluation criteria, WSN architectures and definitions, and applications of metaheuristics in WSN deployment, localization, sink node placement, energy efficiency, and clustering. It also proposes definitions for these terms and reports on some ongoing difficulties linked to these topics. Furthermore, this review outlines the open issues, challenge paths, and future trends that can be applied to metaheuristic algorithms (single and multi-objective) and WSN difficulties, as well as the significant efforts that are necessary to improve WSN efficiency.
Owner Guarantees, Observed and Unobserved Risks, and Bank Lending Spreads
Authors: Duarte Fábio Dias , Gama Ana Paula Matias , Gulamhussen Mohamed Azzim 
Published: July 2024

AbstractIn this paper, we examine the influence of owner guarantees on loan rates. Other studies on the influence of business collateral have used survey and credit register data to establish this link. They support it with the pre-lending information theory and post-lending incentive theory and find that the latter predominates the former. Thus, we measure observed and unobserved risks on bank lending spreads negotiated over the counter to show the co-existence of both theories. The main findings and robustness tests show that owner guarantees reduce bank lending spreads for safe but not risky firms, supporting the pre-lending information theory rather than the post-lending incentive theory. These findings underscore the role of owner guarantees in allaying the information problems the bank confronts prior to lending.
Teachers’ pedagogical beliefs in Norwegian school makerspaces
Authors: Høibo Ingrid Holmboe , Seitamaa-Hakkarainen Pirita , Groth Camilla 
Published: July 2024

AbstractIn Norway, makerspaces are emerging as new educational contexts across all school levels. This trend is multifaceted as it is inspired by the global maker movement and supported by local initiatives as well as a national policy to create more opportunities to teach digital competencies. The makerspace concept facilitates this in a concrete and innovative way. Although the maker movement is established, the pedagogical foundations of maker activities in educational settings are still being developed. As the movement meets competent teachers and existing learning cultures, there is the potential to create new pedagogical knowledge and educational practices. This study explored teachers’ values and beliefs regarding maker-centered learning in Norwegian schools through qualitative semi-structured interviews with maker teachers from 18 schools. The results indicate that makerspaces in Norwegian schools are initiated and driven by teachers’ interests in the maker movement, which resonates with their learning beliefs. The individuals in question are mostly natural-science teachers inspired by other makers. The learning culture in Norwegian schools, and that found in the maker movement, coincide in many areas. However, there are some compatibility challenges, such as facilitating open-ended learning processes and initiating learning frameworks that allow students to act and learn based on their motivations and ideas. With guidance from the latest curricula, teachers are encouraged to teach toward learning goals, which have been traditionally achieved with structured and predefined activities. In this goal-directed environment, maker teachers struggle to find room for iterative processes, play, and productive failures.
Integration of Family Navigation into ECHO Autism for Pediatric Primary Care in Underserved Communities
Authors: Mazurek Micah O. , Nevill Rose E. , Orlando Karen , Page Keith , Howard Mya , Davis Beth Ellen 
Published: July 2024

AbstractChildren with autism from underserved communities face complex system-, provider-, and family-level barriers to accessing timely diagnosis and early intervention. The current study evaluated the preliminary effects and feasibility of a new program (ECHO Autism LINKS) that integrated pediatric primary care provider (PCP) training with family navigation (FN) to bridge the gaps between screening, referral, and service access. Three cohorts of PCPs (n = 42) participated in the program, which consisted of 60-minute sessions delivered by Zoom twice per month for 12 months. Each session included didactics, case-based learning, and collaborative discussion with participants and an interdisciplinary team of experts. Family navigators were members of the expert team and provided FN services to families referred by PCP participants. Program attendance and engagement were strong, with 40 cases presented and 258 families referred for FN services, most of whom (83%) needed help accessing and connecting with services, and 13% required ongoing support due to complex needs. PCPs demonstrated significant improvements in self-efficacy in providing best-practice care for children with autism, reported high satisfaction, and observed improved knowledge and practice as a result of the program. The results of this initial pilot provide support for the feasibility, acceptability, and preliminary efficacy of the ECHO Autism LINKS program. The model holds promise in addressing complex barriers to healthcare access by providing both PCPs and families with the knowledge and support they need. Future research is needed to evaluate the efficacy and effectiveness of the program in improving child and family outcomes.
Lymphocyte-Directed Immunomodulation Remits Thymoma-Associated Autoimmune Pneumonitis
Authors: Ferré Elise M. N. , Nichols-Vinueza Diana X. , Rosen Lindsey B. , Burbelo Peter D. , Fennelly Kevin P. , Pechacek Joseph , Goldstein Daniel M. , Agharahimi Anahita , Saksena Annapurna , Kleiner David E. , Demirdag Yesim Yilmaz , Rajan Arun , Schrump David S. , Holland Steven M. , Freeman Alexandra F. , Lionakis Michail S. 
Published: July 2024

Abstract
Background
Thymoma presents with several autoimmune manifestations and is associated with secondary autoimmune regulator (AIRE) deficiency. Pneumonitis has recently been described as an autoimmune manifestation associated with thymoma presenting with similar clinical, radiographic, histological, and autoantibody features as seen in patients with inherited AIRE deficiency who suffer from Autoimmune PolyEndocrinopathy-Candidiasis-Ectodermal Dystrophy (APECED) syndrome.

Objectives
To treat two patients with biopsy-proven thymoma-associated pneumonitis with lymphocyte-directed immunomodulation.

Methods
Two patients with thymoma were enrolled on IRB-approved protocols at the NIH Clinical Center. We performed history and physical examination; laboratory, radiographic, histologic and pulmonary function evaluations; and measurement of the lung-directed autoantibodies KCNRG and BPIFB1 prior to and at 1- and 6-months following initiation of lymphocyte-directed immunomodulation with azathioprine with or without rituximab.

Results
Combination T- and B-lymphocyte-directed immunomodulation resulted in improvement of clinical, functional, and radiographic parameters at 6-month follow-up evaluations in both patients with sustained remission up to 12–36 months following treatment initiation.

Conclusion
Lymphocyte-directed immunomodulation remitted autoimmune pneumonitis in two patients with thymoma.
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport
Authors: Houston Paul , Hubbard Matthew E. , Radley Thomas J. , Sutton Oliver J. , Widdowson Richard S. J. 
Published: July 2024

AbstractWe introduce an hp-version discontinuous Galerkin finite element method (DGFEM) for the linear Boltzmann transport problem. A key feature of this new method is that, while offering arbitrary order convergence rates, it may be implemented in an almost identical form to standard multigroup discrete ordinates methods, meaning that solutions can be computed efficiently with high accuracy and in parallel within existing software. This method provides a unified discretisation of the space, angle, and energy domains of the underlying integro-differential equation and naturally incorporates both local mesh and local polynomial degree variation within each of these computational domains. Moreover, general polytopic elements can be handled by the method, enabling efficient discretisations of problems posed on complicated spatial geometries. We study the stability and hp-version a priori error analysis of the proposed method, by deriving suitable hp-approximation estimates together with a novel inf-sup bound. Numerical experiments highlighting the performance of the method for both polyenergetic and monoenergetic problems are presented.
Digital Physical Activity and Exercise Interventions for People Living with Chronic Kidney Disease: A Systematic Review of Health Outcomes and Feasibility
Authors: Letton Meg E. , Trần Thái Bình , Flower Shanae , Wewege Michael A. , Wang Amanda Ying , Sandler Carolina X , Sen Shaundeep , Arnold Ria 
Published: July 2024

Abstract
Physical activity is essential to interrupt the cycle of deconditioning associated with chronic kidney disease (CKD). However, access to targeted physical activity interventions remain under-supported due to limited funding and specialised staff. Digital interventions may address some of these factors. This systematic review sought to examine the evidence base of digital interventions focused on promoting physical activity or exercise and their effect on health outcomes for people living with CKD. Electronic databases (PubMed, CINAHL, Embase, Cochrane) were searched from 1 January 2000 to 1 December 2023. Interventions (smartphone applications, activity trackers, websites) for adults with CKD (any stage, including transplant) which promoted physical activity or exercise were included. Study quality was assessed, and a narrative synthesis was conducted. Of the 4057 records identified, eight studies (five randomised controlled trials, three single-arm studies) were included, comprising 550 participants. Duration ranged from 12-weeks to 1-year. The findings indicated acceptability and feasibility were high, with small cohort numbers and high risk of bias. There were inconsistent measures of physical activity levels, self-efficacy, body composition, physical function, and psychological outcomes which resulted in no apparent effects of digital interventions on these domains. Data were insufficient for meta-analysis. The evidence for digital interventions to promote physical activity and exercise for people living with CKD is limited. Despite popularity, there is little evidence that current digital interventions yield the effects expected from traditional face-to-face interventions. However, 14 registered trials were identified which may strengthen the evidence-base.
Arbitrary Power: Caricature and Concept
Authors: Ahmed Farrah 
Published: July 2024

AbstractArbitrary power is often understood as bearing some kind of relation to tyrannical rule, a relation that is thought to explain why arbitrary power is objectionable. But what is tyrannical rule? What precisely is the relationship between arbitrary power and tyranny? Why (if at all) is arbitrary power objectionable? Arbitrary power, this paper argues, is best understood through the figure of the tyrant. The figure of the tyrant is a caricature with stock character traits, usually of a disliked other, who is, or is thought to be, powerful. Arbitrary power, the paper argues, is power that is constituted to express, or enable the expression of, caricatured tyrannical traits. Arbitrary power is bad or objectionable (if and when it is) for mimetic reasons. Understanding arbitrary power in this way allows us to see problems with how it is deployed, understood and communicated and has advantages over standard accounts.
Prevalence of Postpartum Depression among Mothers in the Emirates of Abu Dhabi
Authors: Al Ahbabi Salma , Mubarak Ghada , Al Khaldi Sharifa , Bin Mousa Ali , Mohammad Baynouna Al Ketbi Latifa 
Published: July 2024

Abstract
Background
Postpartum depression (PPD) is a common mental health condition that affects women in a silent and covert way and is not clearly visible to the community or to health care providers. Untreated PPD has significant and long-term consequences on the mother and their child. This study aims to assess the risk of postpartum depression among women in the Emirate of Abu Dhabi and its determinants.

Method
This is a questionnaire-based cross-sectional study conducted at primary healthcare centers in the Emirate of Abu Dhabi. The target population is women visiting the well-child vaccination clinics for their infants’ vaccination. The questionnaire used consisted of socio-demographic characteristics, important histories such as obstetric, medical, and social histories, and the Edinburgh Post Partum depression scale EPPS. EPPS is a validated tool used to evaluate the probability of postpartum depression.

Results
The probability of postpartum depression for women visiting the well child care clinics in the Emirate of Abu Dhabi during the study period was 35%, One-third. 10% had high risk, 7% had moderate risk, and 18% had mild risk. Using logistic and linear regression, there was an association identified between postpartum depression risk and the presence of weight concern and employment status OR 5.499(2.618–11.548) and OR 0.483 (0.246–0.951), respectively (P < 0.005). From the total sample, 3.7% responded quite often or sometimes to the question of having the intention to harm themselves.

Conclusion
EPDS is recommended to be used routinely to screen women in the postnatal period. This high prevalence of risk of postpartum depression in the UAE (One in three women) calls for a well-prepared healthcare system and community. Healthcare providers need to be prepared with better knowledge, practice, and management strategies to care for these women, for early identification and management. Further studies should be undertaken to achieve effective strategies to reduce the incidence of this condition.
An image-processing toolkit for remote photoplethysmography
Authors: Montalvo Javier , García-Martín Álvaro , MartÃ­nez José M. 
Published: July 2024

AbstractObjective. Image-processing-based remote photoplethysmography algorithms are usually composed of steps where different methods are used, and often, researchers perform these steps using methods that are not necessarily the best for their application. With our toolkit, we want to provide easy and fast access to different state-of-the-art methods for the most common image-processing steps in remote photoplethysmography algorithms. Methods. Our toolkit was programmed in Python and was developed with sequential workflow in mind, making it versatile and easy to use in interactive environments. It also includes tools so the users can modify or extend it if they want to, and will be updated as new methods for the different steps are published. Results. Our use case examples and validation show an effective approach and how the toolkit can be used for exhaustive evaluation and ablation studies in a simple way. We also show how choosing different methods can affect the final heart rate estimation accuracy at the cost of computation time. Conclusion. With this toolkit we are providing researchers with a versatile, easy-to-use tool, with access to different methods for the most common steps in remote photoplethysmography algorithms. Significance. Our toolkit is a relevant tool for researchers in the remote photoplethysmography field due to their versatility, ease of use, and adaptability. (It will be available onhttps://github.com/Montyro/rppgtkgithub upon acceptance).
Fiscal resilience over time and its management in the context of multi-risks: an application to the Danube Region
Authors: Hochrainer-Stigler Stefan , Šakić Trogrlić Robert , Reiter Karina 
Published: July 2024

AbstractMulti-hazards as well as multi-risk management are increasingly gaining importance in research, policy, and practice, but present a challenging task. Focusing on governments as key risk bearers, we assume a multi-hazard and multi-risk perspective and address the question of how different natural hazards can influence fiscal risk and how fiscal risk can change over time due to other risk realizations (e.g., pandemics). We employ a risk-layer approach to analyze the changes in fiscal risk, comparing the fiscal stress associated with different hazards during distinct time periods and scenarios. In doing so, we address the question under which circumstances risk reduction or risk financing may be needed as well as how an iterative approach can account for changing financing resource levels for different hazards under different scenarios. We apply this methodology to the Danube Region which is exposed to different natural hazards and encompasses countries with different levels of fiscal resilience. Furthermore, the countries in the Danube Region were affected by Covid-19, which acted as an additional stressor and caused large economic costs. The analysis should demonstrate the flexibility as well as the relevance of the presented methodology to address multi-risks within a coherent framework. One of the main outcomes of the study is the appreciation of different fiscal resilience levels for different countries and the different types of disasters they are exposed to, which can inform the diverse strategies needed on a case-by-case basis but within a common framework to tackle current and future risks. The analysis should be therefore not only informative for the Danube Region and respective countries but also regarding the more general question under which circumstances risk reduction or risk financing may be needed as well as how an iterative approach can account for changing financing resource levels against multiple risks.