bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drying Characteristics of Red Ginger Using Tray Dryer Integrated with Biomass Pyrolysis Reactor
Authors: Hasibuan Rosdanelli , Haryanto Bode , Nafsun Aainaa Izyan , Pramananda Viqry , Siregar Fatimah Fahira , Fazillah Risma 
Published: January 2025

Abstract
Red ginger is a rhizome plant that is often used as a complementary spice, a mixture in food and drinks, and as herbal medicine. One of the post-harvest processing of red ginger is drying. Drying aims to reduce the water content of the material to the point where the growth of microorganisms and destructive enzyme activity can be prevented. One of the drying tools that can be used in drying red ginger is a tray dryer. However, heating the drying air generally still uses fossil fuels as an energy source, so it can produce emissions that pollute the air. In addition, the availability of fossil energy is also limited, expensive, and will continue to increase. Therefore, the use of fossil fuels can be replaced with biomass which is a renewable and sustainable energy source. This study aims to examine the effect of tray height (20 cm, 40 cm, 60 cm) on the drying characteristics of red ginger using a tray dryer integrated with a biomass pyrolysis reactor as a source of hot air. The results showed that a low tray resulted in a shorter drying time, but the final water content was higher. The best tray position was obtained at a height of 60 cm, with a drying time of 290 min, a final water content of 9.711%, and the highest drying rate of 61.10 g/m2.min.
Forward modelling of a fault using self-potential method
Authors: Aufia Yasrifa Fitri , Mahardika Harry 
Published: January 2025

Abstract
This study aims to enhance the interpretation of subsurface features through the self-potential method, a geophysical approach that provides insight into geological processes essential for effective fault detection. Although prior studies emphasize quantitative self-potential analyses, there is limited qualitative modelling to simulate realistic fault responses. This study employs forward modelling analysis using synthetic data to evaluate subsurface model responses close to field data. By modelling three simple anomaly forms: sphere, cylinder, and plate, it has been observed that parameter variations affect the resulting self-potential anomaly response. Results indicate that increasing polarization angles and dipole moments enhance self-potential responses across models, while depth variations show an inverse relationship, with shallower sources producing stronger signals. The modelling results can be used as a reference to validate field data interpretation, where high anomaly values correlate with extended, deeper faults or high-permeability zones.
Experimental Study on Porous Asphalt Mixtures with Hybrid Substitute Materials
Authors: Rachman Firmansyah , Syammaun Tamalkhani , Rani Hafnidar A. , Zulaiha  
Published: January 2025

Abstract
The growing challenges of environmental sustainability and waste management in the construction industry have spurred the search for innovative materials to enhance asphalt mixtures. Conventional porous asphalt faces limitations in durability and performance under varying traffic and weather conditions. Moreover, the disposal of oyster shells and High-Density Polyethylene (HDPE) waste poses significant environmental concerns. This study evaluates the effect of oyster shell ash (OSA) as a filler and HDPE waste as an asphalt substitute in porous asphalt mixtures. Testing was conducted to determine the Optimum Asphalt Content (OAC) based on three primary parameters: Cantabro Loss (CL), Void In Mix (VIM), and Asphalt Flow Down (AFD). The results indicate that the OAC value is 5.8%. In the Void In Mix (VIM) test, the best results were obtained with a variation of 50% OSA: 50% PC and 4% and 6% HDPE, yielding VIM values of 18.49% and 18.16%, respectively, which meet the AAPA (2004) standard requirement of 18-25%. The Asphalt Flow Down (AFD) test results showed that the same mixture produced AFD values of 0.09% and 0.10%, well within the maximum limit of 0.3%. The optimal values for the Cantabro Loss (CL) parameter were also achieved with the same combination, resulting in 32.67% and 30.07%, which comply with the maximum threshold of 35%. This study concludes that the combination of oyster shell ash (50% OSA: 50% PC) and HDPE (4% and 6%) performs well in porous asphalt mixtures, meeting the standards for durability, strength, and stability in road pavement applications.
Deep learning aided determination of the optimal number of detectors for photoacoustic tomography
Authors: Mondal Sudeep , Paul Subhadip , Singh Navjot , Warbal Pankaj , Khanam Zartab , Saha Ratan K 
Published: January 2025

Abstract
Photoacoustic tomography (PAT) is a non-destructive, non-ionizing, and rapidly expanding hybrid biomedical imaging technique, yet it faces challenges in obtaining clear images due to limited data from detectors or angles. As a result, the methodology suffers from significant streak artifacts and low-quality images. The integration of deep learning (DL), specifically convolutional neural networks (CNNs), has recently demonstrated powerful performance in various fields of PAT. This work introduces a post-processing-based CNN architecture named residual-dense UNet (RDUNet) to address the stride artifacts in reconstructed PA images. The framework adopts the benefits of residual and dense blocks to form high-resolution reconstructed images. The network is trained with two different types of datasets to learn the relationship between the reconstructed images and their corresponding ground truths (GTs). In the first protocol, RDUNet (identified as RDUNet I) underwent training on heterogeneous simulated images featuring three distinct phantom types. Subsequently, in the second protocol, RDUNet (referred to as RDUNet II) was trained on a heterogeneous composition of 81% simulated data and 19% experimental data. The motivation behind this is to allow the network to adapt to diverse experimental challenges. The RDUNet algorithm was validated by performing numerical and experimental studies involving single-disk, T-shape, and vasculature phantoms. The performance of this protocol was compared with the famous backprojection (BP) and the traditional UNet algorithms. This study shows that RDUNet can substantially reduce the number of detectors from 100 to 25 for simulated testing images and 30 for experimental scenarios.
Coupled CANN-DEM simulation in solid mechanics
Authors: Hildebrand Stefan , Friedrich Jonathan Georg , Mohammadkhah Melika , Klinge Sandra 
Published: January 2025

Abstract
A general, unified neural network approach as replacement for the finite element method without the need for analytic expressions for material laws is suggested. The complete simulation process from the material characterization to simulations on a structural level takes place in the new neural network framework. The drawback of many conventional analytic expressions of material laws to require large numbers of experiments for parametrization is addressed by an integrated inverse approach. Specifically, an adaptation of the Deep Energy Method is combined with a Constitutive Artificial Neural Network (CANN) and trained on measured displacement fields and prescribed boundary conditions in a coupled procedure. Tests on compressible and incompressible Neo-Hookean solids with up to twelve CANN parameters show high accuracy of the approach and very good generalization of CANNs. A small extent of data is required for robust and reliable training.
Clinical trials in cancer theranostics with potential near-term impact on clinical practice
Authors: Jadvar Hossein , Doroudinia Abtin , Conti Peter S , Colletti Patrick M 
Published: January 2025

Abstract
Theranostics has its roots with the first radioiodine therapy for thyroid diseases in about 80 years ago. More recently the field has experienced a remarkable renascence with the regulatory approval of paired imaging and radiopharmaceutical therapy agents in gastroenteropancreatic neuroendocrine tumours and metastatic castration-resistant prostate cancer that are now employed in routine clinical practice. The momentum is strong for identification and testing of new theranostic agents for use in various cancers and finding new clinical indications of the available agents. There are currently numerous preclinical, first-in-human studies, large-scale prospective registries, and clinical trials including randomized trials underway in cancer theranostics that target a variety of germane biological targets. The results of these investigations, if successful, will undoubtedly impact the future of cancer management which is anticipated to improve patient outcome. Multi-targeted theranostics may also provide opportunities for synergistic efficacy to tackle the inherent complexities driven by the heterogeneity of cancer. In this article, we review the currently active recruiting phase 2 and phase 3 clinical trials in cancer theranostics that are targeted to the prostate-specific membrane antigen, gastrin-releasing peptide receptor, and fibroblast activation protein, with the anticipated potential near-term (&lt;5 years) impact on clinical practice.
Improving the quality of contacts during foster care: Learnings from foster families
Authors: Bernedo Isabel M , González-Pasarín Lucía 
Published: January 2025

Abstract
Contact visit with the family of origin during foster care is a recognized right in Spain, although these contacts are often not of quality. The current study examines the changes achieved by foster families who have completed the parental education programme Visits: a context for family development to improve the quality of the visits that children in non-kinship foster care have with their birth parents. Qualitative research was conducted using semi-structured interviews before and after the intervention with six foster carers from four foster families. This study demonstrates the short-term effectiveness of the potential of this programme to improve the quality of contact visits and collaboration relationships between birth and foster families. It highlights the importance of adequately preparing foster carers to enhance contact visits quality, by promoting parenting skills, encouraging communication between the foster carers and the child, and providing resources to manage the preparation of children for visits. My Visits Book is a resource that helps foster carers to feel more engaged in collaboration with birth families. These findings are relevant for child welfare practitioners to promote positive parenting during foster care and contact, creating rewarding experiences for parties involved.
Autistic-inclusive employment: A qualitative interpretive meta-synthesis
Authors: Morris Rae , Southey Sarah , Pilatzke Megan 
Published: January 2025

Abstract
Inclusive employment is a key topic and area of practice for social workers. Unfortunately, autistic adults face multiple barriers to accessing and retaining employment. There is much to be learned through reflection on the employment experiences of autistic individuals to gain a more nuanced insight on the phenomenon of autistic-inclusive employment. Informed by critical disability and neurodiversity scholarship, a qualitative interpretive meta-analysis was conducted to review and interpret autistic adults’ experiences with employment and offer a translational understanding of autistic-inclusive employment for key stakeholders. Eleven (N = 11) qualitative studies utilizing inclusive research design and representing 632 participants were reviewed and synthesized through the lens of inclusive employment. This process resulted in four key themes that describe autistic adults’ experiences with autistic-inclusive employment: (1) organizational culture, (2) workplace environment, (3) disclosure and accommodations, and (4) role alignment. Findings from this study highlight opportunities to enhance autistic-inclusive workplace policies and practices. Relevant implications for social workers, employers, researchers, policy makers, and autism advocates are shared.
Trigeminal nerve microstructure is linked with neuroinflammation and brainstem activity in migraine
Authors: Tohyama Sarasa , Datko Michael , Brusaferri Ludovica , Kinder Lillian D , Schnieders Jack H , Hyman Mackenzie , Goldstein Alison M , Gilbert Melaina D , Housman Hope , Le Vi , Round Kassandra , Marin Frances , Heffernan Megan R , Garcia Ronald G , Gollub Randy L , Edwards Robert R , Rosen Bruce R , Hadjikhani Nouchine , Cheng Hsinlin T , Schuman-Olivier Zev , Loggia Marco L , Napadow Vitaly 
Published: January 2025

Abstract
Although the pathophysiology of migraine involves a complex ensemble of peripheral and central nervous system changes that remain incompletely understood, the activation and sensitization of the trigeminovascular system is believed to play a major role. However, non-invasive, in vivo neuroimaging studies investigating the underlying neural mechanisms of trigeminal system abnormalities in human migraine patients are limited.
Here, we studied 60 patients with migraine (55 females, mean age ± SD: 36.28 ± 11.95 years) and 20 age-/sex-matched healthy controls (19 females, mean age ± SD: 35.45 ± 13.30 years) using ultra-high field 7 Tesla diffusion tensor imaging and functional MRI, as well as PET with the translocator protein ligand [11C]-PBR28. We evaluated MRI diffusivity measures and PET signal at the trigeminal nerve root, as well as brainstem functional MRI response to innocuous, ophthalmic trigeminal nerve territory stimulation.
Patients with migraine demonstrated altered white matter microstructure at the trigeminal nerve root (n=53), including reduced fractional anisotropy, compared to healthy controls (n=18). Furthermore, in patients, lower fractional anisotropy was accompanied by 1) higher neuroinflammation (i.e. elevated [11C]-PBR28 PET signal) at the nerve root (n=36) and 2) lower functional MRI activation in an ipsilateral pontine cluster consistent with spinal trigeminal nucleus (n=51). These findings were more robust on the right side, which was consistent with the observation that right headache dominant patients demonstrated higher migraine severity compared to left headache dominant patients in our cohort.
Multimodal imaging of the integrated neural mechanisms that characterize migraine underscores the importance of trigeminal system remodeling as both a key aspect of the dynamics underlying migraine pathophysiology and a target for therapeutic interventions.
Epigenetic mechanisms underlying endometrial cancer (EC) outcomes: race-specific patterns of DNA methylation associated with molecular subtypes and survival
Authors: Hoos Emery , Koval Lauren E , Corcoran David L , Eaves Lauren A , Roell Kyle , Rager Julia E , Tan Xianming , Godfrey Sherette , Keku Temitope O , Bae-Jump Victoria , Olshan Andrew F , Nichols Hazel B , Weissman Bernard E , Fry Rebecca C 
Published: January 2025

Abstract
Endometrial cancer [EC] is the fourth most common cancer in women in the United States. Stark racial disparities are present in EC outcomes in which Black women have significantly higher EC-related mortality than White women. The social and biologic factors that contribute to these disparities are complex, and may include racial differences in epigenetic landscapes. To investigate race-specific epigenetic differences in EC tumor characteristics and outcomes, we utilized the most recent data within the Cancer Genome Atlas (TCGA). Genome-wide CpG methylation data for more than 850 000 CpG sites were analyzed across 245 tumor samples, including 52 from Black women and 181 from White women. Race-adjusted and race-stratified associations among CpG methylation in ECs and molecular subtypes and disease-free survival (DFS) were examined. Race-specific analysis identified subtype-associated CpGs within 9572 genes in tumors from White women, and only 10 genes in tumors that were from Black women. Race-specific analyses also identified survival-associated CpGs with 1119 unique genes identified in tumors from White women, and none identified in tumors from Black women. Genes identified with differential methylation among subtypes included those involved in oxidative stress (HIF3A), and DNA repair (MLH1). Replication cohort data highlighted genes overlapping with those identified within the TCGA, such as G Protein Subunit Beta 1 (GNB1), involved in G-protein signaling, and Interleukin 37 (IL37), involved in cytokine signaling. Identification of these racial differences in EC tumor epigenetic landscapes and associated changes in gene expression may provide insight into strategies to improve outcomes and reduce disparities.
Policy Recommendations to Support Equitable Access to Long-Acting Injectables for Human Immunodeficiency Virus Prevention and Treatment: A Policy Paper of the Infectious Diseases Society of America and the HIV Medicine Association
Authors: Marcus Julia L , Weddle Andrea , Kelley Colleen F , Agwu Allison , Montalvo Sheila , Sherman Elizabeth , Vijayan Tara , Gutierrez Jose , Hickey Matthew D , Dilworth Samantha E , Krakower Douglas , Davis Teaniese L , Collins Lauren F , McNulty Moira C , Colasanti Jonathan A , Christopoulos Katerina A 
Published: January 2025

Abstract
Long-acting injectables (LAIs) for HIV prevention and treatment could dramatically improve health outcomes and health equity for people with HIV and those who could benefit from pre-exposure prophylaxis. Despite widespread acceptability and demand by providers and potential users of LAIs, implementation has been extremely limited since the introduction of cabotegravir/rilpivirine, the first LAI for HIV treatment, in January 2021, and long-acting cabotegravir, the first LAI for HIV prevention, in December 2021. We report results of a provider survey, conducted by the HIV Medicine Association, which identified LAI implementation barriers related to health insurance processes, staffing and administrative support, drug costs and acquisition, and access for individuals who are uninsured. We provide policy recommendations to address those barriers and facilitate broad and equitable access to LAIs for HIV prevention and treatment, which will be necessary to achieve the goals of the US Ending the HIV Epidemic initiative.
Chromosome-level genome assembly of Pontederia cordata L. provides insights into its rapid adaptation and variation of flower colors
Authors: Wang Jiale , Zhang Wenda , Yang Xiaodong , Zhao Puguang , Wang Xiangyu , Zhao Shuying , Chen Lingyun 
Published: January 2025

Abstract
Pontederia cordata L. is an aquatic ornamental plant native to the Americas, but has been widely distributed in South Asia, Australia, and Europe. The genetic mechanisms behind its rapid adaptation and spread have not yet been well understood. To understand the mechanisms for its rapid adaptation, this study assembled the first chromosome-level genome of P. cordata. The genome assembly, which spans 527.5 Mb, is anchored on eight pseudochromosomes with a scaffold N50 of 48 Mb and encompasses 29,389 protein-coding genes. Further analyses revealed that P. cordata had experienced three whole-genome duplications (WGDs) events. These WGDs are associated with gene family expansion and increased numbers of resistance gene analogs (RGAs) and transcription factors (TFs). Positive selection analysis indicated that genes derived from tandem duplication and proximal duplication were more likely to undergo positive selection, and were enriched in plant defense and disease resistance. These results implied that WGDs, tandem duplication, and positive selection enhanced the environmental adaptability of P. cordata. Additionally, we found that down-regulation of F3ʹ5ʹH, DFR, ANS, and UFGT likely caused the flower color variation for P. cordata from violet to white. The first chromosome-level genome of P. cordata here provides a valuable genomic resource for investigating the rapid adaptation and flower color variation of the species.
A general diagnostic of the normal approximation in GMM models
Authors: Wang Andrew 
Published: January 2025

Abstract
This paper proposes a diagnostic method for evaluating the quality of the normal approximation in generalized method of moments (GMM) models through sampling from a quasi-Bayesian parameter distribution. GMM estimates are consistent and asymptotically normal under certain regularity conditions, and researchers often assume normality when conducting inference. However, the literature has identified several violations to the normal approximation, such as in cases with weak instruments or parameters on boundaries. We apply our diagnostic and find meaningful deviations from normality in three well-cited papers, which include examples of well-known violations. We also illustrate one example where the normal approximation works well. Our method is convenient to implement using Markov chain Monte Carlo (MCMC) algorithms and serves as a sanity check for researchers before reporting GMM estimates and standard errors. It enables visualization of the quasi-Bayesian distribution, quantification of deviations from normality, and reporting of alternative estimates and credible sets.
The role of multi-modality imaging in multiple valvular heart diseases: a clinical consensus statement of the European Association of Cardiovascular Imaging of the European Society of Cardiology
Authors: Donal Erwan , Unger Philippe , Coisne Augustin , Pibarot Philippe , Magne Julien , Sitges Marta , Habib Gilbert , Clavel Marie-Annick , Von Barbeleden Stephen , Plein Sven , Pezel Theo , Dweck Marc R , Zamorano Pepe L , Bertrand Philippe B , Dahl Jordi S , Popescu Bogdan A , Cosyns Bernard , Ajmone-Marsan Nina , Bohbot Yohann , Di Salvo Giovanni , Keenan Niall , Petrescu Aniela Monica , Stankovic Ivan 
Published: January 2025

Abstract
With this document, the European Association of Cardiovascular Imaging provides an Expert Consensus on the role of multi-modality imaging (MMI) in the management of patients with multiple valvular heart disease (MVD). Emphasis is given to the use of MMI to unravel the diagnostic challenges that characterize these patients and to improve risk stratification. Complementing the last European Society of Cardiology and European Association of Cardio-Thoracic Surgery guidelines on valvular heart disease, this Expert Consensus document also outlines how MMI assessment should form an integral part of the multi-disciplinary heart team discussion for patients with MVD to help with complex decision-making regarding the choice and timing of treatment.