bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autistic Traits and Psychosocial Predictors of Depressive Symptoms
Authors: Camus Lorna , Jones Kirsty , O’Dowd Emily , Auyeung Bonnie , Rajendran Gnanathusharan , Stewart Mary Elizabeth 
Published: May 2024

AbstractHigher rates of depression and of depressed mood are associated with autistic traits, and both are associated with social interaction factors, such as social self-efficacy, social motivation and loneliness. This study examined whether these social factors explain the association between autistic traits and depression. 658 participants (527 women) completed an online survey with measures of autistic traits (AQ), social self-efficacy (Social Self-Efficacy Scale), social motivation (Social Striving Assessment Scale), loneliness (UCLA Loneliness Scale) and depressive symptoms (Beck Depression Inventory-II). A mediation analysis found the relationship between autistic traits and depressive symptoms was fully mediated by the other three factors (β[indirect] = .005, z = 2.63, p < .01; β[direct] = .05, z = 1.58, p > .05), forming a pathway from autistic traits, to social self-efficacy, to social motivation, to loneliness and finally to depressive symptoms. These results suggest that targeting social self-efficacy may break this pathway and disrupt this relationship. Interventions targeting supporting positive social interaction should be considered.
Recipes for the Future of Seaweed Aquaculture
Authors: Jue Melody 
Published: May 2024

AbstractClimate cuisine is about eating the future you want into being. In this article, I examine how seaweed recipes can be forms of climate fiction through the way that the reader is invited to participate in sustainable foodways. I examine several popularizations of seaweed aquaculture that imagine practices of eating and growing seaweeds. Their formal similarities center on participation: they include the direct address of the reader through the second person voice, and position themselves as instructional models. Bren Smith’s Eat Like a Fish (Smith, Eat like a fish: My adventures as a fisherman turned restorative ocean farmer, Penguin, 2019) interpellates the reader as eater, invited to cultivate eating habits that, on a societal scale, would produce a more materially sustainable relation with the planet. The vignette “Ghost Bar,” which appears in Holly Jean Buck’s After Geoengineering: Climate Tragedy, Repair, and Restoration (Buck, After geoengineering: Climate tragedy, repair, and restoration, Verso, 2019), sensorily emplaces the reader in a future seaweed farm as a window into the kinds of livelihoods and forms of work that could be part of mitigating global warming. I trace the similarities between Smith's recipes and Buck’s interpellation of a reader, both of which use the second-person mode addressing an unmarked “you,” inviting this “you” to imagine and actualize the future dish or future scenario they sketch. While these texts have their own limitations at the level of the social imagination, such popularizations of seaweed aquaculture model an important way of understanding the intimacies of climate fiction and recipes. Recipes not only popularize the sustainable eating of seaweeds, but actively constitute a form of climate fiction through their intention to actualize more seaweedy futures.
The last of the maculineans: can we save the emblematic Alcon Blue butterfly Phengaris alcon under climate change when its habitat continues to deteriorate?
Authors: Maes Dirk , Pardon Willy , Palmans Ghis , Van Dyck Hans 
Published: May 2024

AbstractIn the NW-European region of Flanders (northern Belgium), wet heathlands harbour several threatened species among which the emblematic Alcon Blue butterfly Phengaris alcon is rapidly declining. Since 1990, the number of occupied grid cells in Flanders has decreased from 61 to only six in 2023, a decline of 90%. Due to the loss of many populations, the mean distance between populations tripled from 9 km in the period 1950–1990 to 27 km now. Site-wide egg counts in one of the strongholds of the Alcon Blue in Flanders revealed a strong increase after some initial intensive care conservation measures in the 2000s, but since 2013 a steep decline of 99% has been observed. The standardised egg counts in the remaining six Flemish populations (i.e., monitoring within the framework of the Natura2000 reporting) showed a yearly decrease of 18% since 2016. Despite increased conservation attention and targeted management since the end of the 1990s, the current situation of P. alcon in Belgium is more precarious than ever. Causes of this rapid decline are manifold and they are likely to be amplified by extreme weather conditions caused by climate change. More efficient intensive care measures and more intense cooperation across national borders are now quickly required to regionally preserve this habitat specialist with a unique eco-evolutionary profile.Implications for insect conservation By analysing the causes of the decline of the threatened Alcon Blue butterfly in Flanders, we suggest management and policy measures in an attempt to conserve this and other threatened heathland species in a highly anthropogenic region.
Production and applications of lead (II) oxide/poly(aniline-co-thiophene) composite materials for enhanced supercapacitor performance
Authors: Hacinecipoğlu Ayşe V. , Efeoğlu Selen , Kir Burak , Balik Berk , Gencten Metin 
Published: May 2024

AbstractIn this work, a novel approach was employed to prepare and utilize lead (II) oxide and poly(aniline-co-thiophene) (PANI-co-PTh) composite materials as electrode materials for supercapacitors, marking the first instance of such utilization in the literature. PANI-co-PTh was synthesized in bulk through chemical polymerization, and the conducting polymers underwent comprehensive spectroscopic, physical, and microscopic characterization. Subsequently, the material, incorporating lead (II) oxide (PbO) as a composite, was employed as electrode materials in asymmetric-type supercapacitors. The main results indicate a clear relationship between the surface area of conducting polymers and their specific capacitance. Notably, PANI-co-PTh-6, possessing the highest surface area, demonstrated the highest specific capacitance. Particle size distribution and specific surface area for PANI-co-PTh-6 were determined as 130 μm and 64.76 m2g−1, respectively. The PbO@PANI-co-PTh-3 configuration exhibited the highest specific capacitance, reaching 294 Fg−1 at a 10 mVs−1 scan rate. Remarkably, during long-cycle experiments, this system demonstrated a capacity retention of 70.69% after 1000 cycles. The inaugural application of the PbO@PANI-co-PTh-3 supercapacitor showcased notable capacitance values, establishing a substantial foundation for future research endeavors in this field.
Sea ice-melt amount estimated from spring hydrography in the Sea of Okhotsk: spatial and interannual variabilities
Authors: Honda Mariko , Ohshima Kay I. , Mensah Vigan , Nishioka Jun , Sato Masatoshi , Riser Stephen C. 
Published: May 2024

AbstractThis study provides the first estimation of sea ice-melt amount in the Sea of Okhotsk based on spring hydrographic data accumulated for nearly a hundred years. Just after sea ice melts completely, a low-salinity layer appears on the ocean surface, overlying the layer of Winter Water at the freezing point. The integration of the salinity decrease from Winter Water should correspond to the total ice-melt amount. We developed an algorithm to extract the profiles that clearly show the salinity deficit and converted the salinity deficit to the ice-melt amount from all available data. The climatological map shows that ice-melt amount decreases toward the ice edge and exhibits large values around the northern Sakhalin Island, reflecting the ice thickness distribution. In the southern area (south of 48°N), where sea ice is transported from the north, the average ice-melt amount is estimated to be ~ 71 cm in thickness. It is clearly shown that the ice-melt amount has decreased by ~ 30% in the southern area since the 1990s. These changes possibly affect the regional climate through the decreased latent heat of sea ice and potentially affect biological production through weakened stratification caused by decreased ice melt. We also suggested that ice-melt amount did not show a significant trend during the 1930s–1970s, implying that our methodology could extract information on sea ice before the era of satellite observations.
Self-nucleation (SN) and successive self-nucleation and annealing (SSA) as powerful tools to determine the composition of polyolefin post-consumer recycled blends
Authors: Coba-Daza Sebastián , Albrecht Andreas , Cavallo Dario , Tranchida Davide , Müller Alejandro J. 
Published: May 2024

AbstractFor the incorporation of post-consumer recycled (PCR) resins in mechanical recycling processes, it is crucial to determine their composition accurately. The blends of linear low-density polyethylene (LLDPE) and low-density polyethylene (LDPE) in PCR film resins pose a challenge due to their varying ratios. This study introduces a quantitative method that employs the successive self-nucleation and annealing (SSA) technique to analyze commercial PCR LLDPE/LDPE blend compositions. Our method is an efficient way to assess these blend compositions, offering an improved analysis compared with traditional methods. We established a series of calibration curves based on the SSA final melting trace to validate our approach. The SSA technique's efficacy was compared with the robust NMR method, showing that SSA can predict LLDPE contents in the blends with comparable accuracy. We demonstrate that the SSA methodology is an accurate and reliable technique for assessing complex waste streams, thereby facilitating the optimization of recycling processes and advancing the goals of sustainable materials management.
Thermal behavior of Sicilian clay-based geopolymers
Authors: Pulidori Elena , Pelosi Chiara , Fugazzotto Maura , Pizzimenti Silvia , Carosi Maria Rita , Bernazzani Luca , Stroscio Antonio , Tiné Maria Rosaria , Mazzoleni Paolo , Barone Germana , Duce Celia 
Published: May 2024

AbstractGeopolymers have been recently proposed for restoration of built heritage to substitute traditional mortars. Local materials and industrial wastes from the Italian region Sicily showed their potential as low-cost aluminosilicate sources for the preparation of geopolymers. Here, a set of Sicilian clays was studied by Thermogravimetry (TG) and Differential Scanning Calorimetry (DSC), and its mineralogical composition was evaluated by X-ray diffraction (XRD). The raw materials were used to prepare geopolymers by alkaline activation with or without the addition of silicate. The thermal degradation profile of the final materials was studied by TGA and compared with that of the precursors, and the energetics of dehydration were investigated by DSC. Two statistical analyses (made by Principal Component Analysis) were performed on the TG data of raw materials and geopolymers and on the TG data of geopolymers and their mineralogical composition, respectively. The last analysis in particular showed a correlation between the mineralogical composition of the materials and the samples' thermal properties. Additional studies of samples subject to accelerated aging by UV irradiation and exposure to acetic acid vapors highlighted the different effects of these two agents on the samples’ stability.
Graphical abstract
PDE4D and miR-203 are promising biomarkers for canine atopic dermatitis
Authors: Kaur Gagandeep , Xie Chen , Dong Charli , Najera Jonathan , Nguyen Jeffrey T. , Hao Jijun 
Published: May 2024

Abstract

Background
Canine atopic dermatitis (CAD) is a common genetically predisposed, inflammatory, and pruritic skin disorder that affects dogs globally. To date, there are no specific biomarkers available to diagnose CAD, and the current diagnosis is based on a combination of criteria including patient history, clinical signs, and exclusion of other relevant differential diagnoses.

Methods and results
We examined the gene expression of phosphodiesterase 4D (PDE4D) in peripheral blood mononuclear cells (PBMCs), as well as miR-203 and miR-483 in plasma, in three groups: healthy dogs, CAD dogs, and other inflammatory pruritic skin diseases (OIPSD) such as pemphigus foliaceus, scabies, cutaneous lymphoma, and dermatophytosis. Our results showed that PDE4D gene expression in the CAD group is statistically higher compared to those in the healthy and OIPSD groups, suggesting PDE4D may be a specific marker for CAD. Nevertheless, no correlation was found between PDE4D gene expression levels and the lesion severity gauged by CAD severity index-4 (CADESI-4). We also showed that miR-203 is a generic marker for clinical dermatitis and differentiates both CAD and OIPSD inflammatory conditions from healthy controls.

Conclusions
We show that PDE4D is a potential marker to differentiate CAD from non-atopic healthy and OIPSD while miR-203 may be a potential marker for general dermatologic inflammation. Future study of PDE4D and miR-203 on a larger scale is warranted.
A Unified Asymmetric Knowledge Distillation Framework for Image Classification
Authors: Ye Xin , Tian Xiang , Zheng Bolun , Zhou Fan , Chen Yaowu 
Published: May 2024

AbstractKnowledge distillation is a model compression technique that transfers knowledge learned by teacher networks to student networks. Existing knowledge distillation methods greatly expand the forms of knowledge, but also make the distillation models complex and symmetric. However, few studies have explored the commonalities among these methods. In this study, we propose a concise distillation framework to unify these methods and a method to construct asymmetric knowledge distillation under the framework. Asymmetric distillation aims to enable differentiated knowledge transfers for different distillation objects. We designed a multi-stage shallow-wide branch bifurcation method to distill different knowledge representations and a grouping ensemble strategy to supervise the network to teach and learn selectively. Consequently, we conducted experiments using image classification benchmarks to verify the proposed method. Experimental results show that our implementation can achieve considerable improvements over existing methods, demonstrating the effectiveness of the method and the potential of the framework.
Towards efficient control synthesis for nonlinear wave energy conversion systems: impedance-matching meets the spectral-domain
Authors: Bonfanti Mauro , Faedo Nicolás , Mattiazzo Giuliana 
Published: May 2024

AbstractExisting studies within the literature that focus on designing parametric energy-maximizing controllers for Wave Energy Converter (WEC) systems predominantly rely on the impedance-matching (IM) principle, originally developed for linear time-invariant systems. Alternatively, iterative optimization routines are commonly employed for nonlinear WECs. However, these approaches often face a trade-off between effectiveness in maximizing energy extraction and computational efficiency. To address this limitation, this study proposes a computationally efficient controller tuning method for analogous synthesis in the case of nonlinear WECs. The proposed approach combines a statistical linearization technique known as spectral-domain modeling with the IM principle, to synthesize a Proportional–Integrative (PI) controller for a nonlinear WEC. Furthermore, a comparison is performed with two other synthesis methods: one based on a standard (i.e. linear) frequency-domain representation of the WEC that incorporates the IM principle, and the other employing a gradient-free optimization routine applied to the nonlinear time-domain model of the WEC for PI parameter tuning through exhaustive numerical search. A discussion on the effectiveness of each tuning method in maximizing energy absorption is provided, including an appraisal of their associated computational time requirements. Numerical analyses demonstrate that the proposed method, which integrates spectral-domain modeling and IM, can achieve (almost) optimal PI controller design for a nonlinear WEC. Furthermore, this study addresses the inaccuracies inherent in the frequency-domain approach and significantly reduces the computational time compared to the exhaustive search procedure. The findings of this research represent a significant advancement towards the development of simple, effective, and efficient IM-based techniques for synthesis of controllers in nonlinear WEC systems
Challenges in Evaluating a Community-Level Intervention to Address Root Causes of Youth Violence
Authors: Mehari Krista R. , Smith Phillip N. , Morton Benterah C. , Billingsley Joél L. , Coleman Jasmine N. , Farrell Albert D. 
Published: May 2024

AbstractViolence disproportionately impacts Black American youth, representing a major health disparity. Addressing the possible root causes of structural inequities to reduce violence may increase the impact of prevention strategies. However, efforts to evaluate the impact of such interventions pose numerous methodological challenges, particularly around selecting an effective evaluation design to detect change at the community level, with adequate power and sampling, and appropriate constructs and measurement strategies. We propose a multiple baseline experimental design to evaluate the impact of a community-level youth violence and suicidality prevention strategy. A multiple baseline experimental design with multiple community units balances the need for scientific rigor with practical and values-based considerations. It includes randomization and plausible counterfactuals without requiring large samples or placing some communities in the position of not receiving the intervention. Considerations related to the conceptualization of the logic model, mechanisms of change, and health disparity outcomes informed the development of the measurement strategy. The strengths and weaknesses of a multiple baseline experimental design are discussed in comparison to versions of randomized clinical trials. Future health disparity intervention evaluation research will benefit from (1) building a shared sense of urgent public need to promote health; (2) respecting the validity of values- and partnership-based decision-making; and (3) promoting community-based and systems-level partnerships in scientific grant funding. The described study has been registered prospectively at clinicaltrials.gov, Protocol Record 21–454.
Optimized Python library for reconstruction of ensemble-based gene co-expression networks using multi-GPU
Authors: López-Fernández Aurelio , Gómez-Vela Francisco A. , del Saz-Navarro María , Delgado-Chaves Fernando M. , Rodríguez-Baena Domingo S. 
Published: May 2024

AbstractGene co-expression networks are valuable tools for discovering biologically relevant information within gene expression data. However, analysing large datasets presents challenges due to the identification of nonlinear gene–gene associations and the need to process an ever-growing number of gene pairs and their potential network connections. These challenges mean that some experiments are discarded because the techniques do not support these intense workloads. This paper presents pyEnGNet, a Python library that can generate gene co-expression networks in High-performance computing environments. To do this, pyEnGNet harnesses CPU and multi-GPU parallel computing resources, efficiently handling large datasets. These implementations have optimised memory management and processing, delivering timely results. We have used synthetic datasets to prove the runtime and intensive workload improvements. In addition, pyEnGNet was used in a real-life study of patients after allogeneic stem cell transplantation with invasive aspergillosis and was able to detect biological perspectives in the study.
The two ideals shaping the content of modern science
Authors: Kourany Janet A. 
Published: May 2024

AbstractMuch has been written over the years regarding the norms, values, and ideals of modern science—in a word, what is expected of science and scientists. Most frequently, however, attention has focused on the conduct expected of scientists (e.g., Merton’s norms) rather than on the specific content expected of their scientific contributions, and attention has also tended to focus on the current scene rather than on the events that produced it. So. a kind of two-fold gap exists in our understanding of our scientific heritage. Why is this important? Because it turns out that the two general ideals that have shaped the content of modern science right from the start seem to contradict each other. Nonetheless, they both have enjoyed weighty reasons offered in their defense and they both have exerted strong holds through the centuries on scientists and nonscientists alike, and still exert these holds. And the tradition has not offered any satisfying resolution. So, it is high time we deal with this situation. At least, that is what I attempt to do in this paper.
Differences in quality of anticoagulation care delivery according to ethnoracial group in the United States: A scoping review
Authors: Vazquez Sara R. , Yates Naomi Y. , Beavers Craig J. , Triller Darren M. , McFarland Mary M. 
Published: May 2024

AbstractAnticoagulation therapy is standard for conditions like atrial fibrillation, venous thromboembolism, and valvular heart disease, yet it is unclear if there are ethnoracial disparities in its quality and delivery in the United States. For this scoping review, electronic databases were searched for publications between January 1, 2011 – March 30, 2022. Eligible studies included all study designs, any setting within the United States, patients prescribed anticoagulation for any indication, outcomes reported for ≥ 2 distinct ethnoracial groups. The following four research questions were explored: Do ethnoracial differences exist in 1) access to guideline-based anticoagulation therapy, 2) quality of anticoagulation therapy management, 3) clinical outcomes related to anticoagulation care, 4) humanistic/educational outcomes related to anticoagulation therapy. A total of 5374 studies were screened, 570 studies received full-text review, and 96 studies were analyzed. The largest mapped focus was patients’ access to guideline-based anticoagulation therapy (88/96 articles, 91.7%). Seventy-eight articles made statistical outcomes comparisons among ethnoracial groups. Across all four research questions, 79 articles demonstrated favorable outcomes for White patients compared to non-White patients, 38 articles showed no difference between White and non-White groups, and 8 favored non-White groups (the total exceeds the 78 articles with statistical outcomes as many articles reported multiple outcomes). Disparities disadvantaging non-White patients were most pronounced in access to guideline-based anticoagulation therapy (43/66 articles analyzed) and quality of anticoagulation management (19/21 articles analyzed). Although treatment guidelines do not differentiate anticoagulant therapy by ethnoracial group, this scoping review found consistently favorable outcomes for White patients over non-White patients in the domains of access to anticoagulation therapy for guideline-based indications and quality of anticoagulation therapy management. No differences among groups were noted in clinical outcomes, and very few studies assessed humanistic or educational outcomes.
Graphical Abstract
Scoping Review: Differences in quality of United States anticoagulation care delivery by ethnoracial group. AF = atrial fibrillation; AMS = anticoagulation management service; DOACs = direct oral anticoagulants; INR = international normalized ratio; PSM = patient self-management; PST = patient self-testing