bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multilingual Voices: Transforming Professional Development Based on Student Perceptions of Literacy Learning
Authors: Ferguson‐Sams Nicole , Howell Emily , Kaminski Rebecca , Gazioglu Mihaela , Pennington Victoria 
Published: January 2025

ABSTRACTAcknowledging student perceptions of academic learning has been shown to increase the effectiveness of classroom instruction. However, existing research on multilingual learners (MLs) often focuses on their pedagogical and linguistic needs, overlooking their perceptions of literacy learning. This research, part of a large‐scale, design‐based research (DBR) project, explores MLs' perceptions of literacy learning to increase the capacity of instruction through professional development to classroom teachers in a high‐needs school district. Using grounded theory coding, we analyzed MLs' responses from a self‐efficacy survey to gain insight into their perceptions of literacy learning. Those findings were used to inform DBR modifications, including creating a writing module, a JEDI (Justice, Equity, Diversity, and Inclusion) Escape Room, and a course for ML caregivers. By centering the voices of MLs, this study provides actionable implications for teachers and researchers, contributing to a deeper understanding of literacy education. Our findings emphasize the importance of considering student perceptions in curriculum and instructional design to meet the needs of diverse learners.
A New Model to Assess Compensation for Eco‐Environmental Damage
Authors: Minxuan Chen , Hui Hong , Qiang Zhang , Yunxia Pei , Meiling Bao , Jun Deng 
Published: January 2025

ABSTRACTTo improve procedures to initiate compensation for ecological damage, and to more quickly and efficiently quantify damage during the initial stages of damage, inspiration is drawn from the US Natural Resources Damage Assessment System to construct an ecological environment assessment model that includes indicators such as pollutant hazards, environmental functions, exceedance, pollution duration, pollutant quantity, and receptor sensitivity. According to rating values, a particular incident (a “case”) is apportioned to one of three levels: significantly minor, minor, and significant damage. These levels are used as a starting point for refining the case. We applied 126 cases from City A to this model. Results indicate that it is highly consistent with the actual situation. This model has good maneuverability. Based on existing standard specifications and practical cases, this model is validated. This model can be applied to provide technical guidance and a standardized response strategy to managers in instances of environmental impact.
Research on the flame retardancy properties and mechanism of modified epoxy resin with graphene‐based hybrid
Authors: Luo Yunrui , Ming Ling , Wang Xiu , Zhan Zihao , Xu Chengyi 
Published: January 2025

AbstractThe inherent disadvantage of epoxy resin (EP) is that it is easy to burn, and a large number of toxic and harmful gases are generated in the combustion process, and there is a huge fire hazard. Graphene, a two‐dimensional‐layered material with physical barrier effects, is used by many researchers to enhance the fire safety of EP, but because of its easy aggregation, it is difficult to prepare high‐performance flame retardants. In our work, a high‐performance graphene flame retardant was prepared by grafting a hollow zirconium organic frame material onto the surface of graphene. First, zirconium‐based organic frame material (UiO66‐NH2) with different particle sizes was prepared by adjusting acetic acid, the hollow organic frame material was etched with sodium tungstate under acidic conditions, and then reacted with organophosphorus and graphene oxide, thus W‐UiO66‐DOPO‐RGO were obtained. The results show that the W‐UiO66‐3‐DOPO‐RGO/EP has enhanced smoke suppression and flame retardancy, the LOI value up to 33.5%, vertical combustion class up to UL‐94V‐0, PHRR and TSP reduced by up to 58% and 42%, respectively. Through the characterization of the condensed and gas phase of EP composites, the relevant flame retardancy mechanism was clarified, which were mainly the synergistic flame retardancy and smoke suppression mechanism among the adsorption of fractional pores of hollow bimetallic MOFs, catalytic carbonization of metals, condensed phase and gas phase interaction of phosphorus elements, and physical shielding of RGO.Highlights
A high‐performance graphene‐based flame retardants were proposed.
3 wt% of W‐UiO66‐3‐DOPO‐RGO endows EP with excellent flame retardancy.
The fire safety mechanism of W‐UiO66‐DOPO‐RGO/EP was proposed.
Evaluating the precision and velocity of factory vs. handloaded lead‐free ammunition
Authors: McTee Michael , Casper Chuck , Deeble Ben , Grimes Mark , Henning Mike , Jourdonnais Craig , Ramsey Philip 
Published: January 2025

AbstractLead hunting bullets fragment on impact, introducing lead fragments into game meat and carrion scavenged by wildlife. In response, hunters are switching to lead‐free bullets, either voluntarily or due to local restrictions. Hunters often purchase lead‐free bullets already loaded in factory ammunition, but some prefer to handload their own. Handloading allows customization for specific rifles and the use of lead‐free projectiles not available in factory ammunition, while also potentially increasing precision, velocity, and the consistency of velocities. However, the performance advantage of handloading lead‐free ammunition remains unclear. We tested 19 rifle ammunition combinations to compare the precision and velocities of factory and handloaded ammunition, including bullets not found in factory ammunition and bullets that were commercially handloaded. Shooters fired 5 3‐shot groups for each ammunition type, which we also compiled into single 15‐shot groups. We calculated the average 3‐shot extreme spread, 3‐shot mean radius, and 15‐shot mean radius. Only 1 of 12 types of handloaded ammunition outperformed its comparison ammunition across all 3 precision metrics when using identical bullets; however, 2 bullets unavailable in factory ammunition did show greater precision (n = 6). Handloads developed by participating shooters did not reliably shoot more consistent velocities (2 out of 13), although 69% of them achieved higher velocities. Our results suggest that factory lead‐free ammunition offers appropriate precision for big‐game hunting that can occasionally be improved by handloading.
Impact of tissue-independent positron range correction on [68Ga]Ga-DOTATOC and [68Ga]Ga-PSMA PET image reconstructions: a patient data study
Authors: Gavriilidis Prodromos , Mottaghy Felix M. , Koole Michel , van de Weijer Tineke , Mitea Cristina , van der Pol Jochem A. J. , van Nijnatten Thiemo J. A. , Jansen Floris P. , Wierts Roel 
Published: January 2025

Abstract

Purpose
The positron range effect can impair PET image quality of Gallium-68 (68Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for 68Ga was investigated on patient data.

Methods
PET/CT data (40 patients: [68Ga]Ga-DOTATOC or [68Ga]Ga-PSMA) were reconstructed using Q.Clear reconstruction algorithm. Two reconstructions were performed per patient, Q.Clear with and without PRC. SUVmax and contrast-to-noise ratio (CNR) values per lesion were compared between PRC and non-PRC images. Five experienced nuclear medicine physicians reviewed the images and chose the preferred reconstruction based on the image quality, lesion detectability, and diagnostic confidence.

Results
A total of 155 lesions were identified. The PRC resulted in statistically significant increase of the SUVmax and CNR for soft tissue lesions (6.4%, p < 0.001; 8.6%, p < 0.001), bone lesions (14.6%, p < 0.001; 12.5%, p < 0.001), and lung lesions (3.6%, p = 0.010; 6.3%, p = 0.001). This effect was most prominent in small lesions (SUVmax: 12.0%, p < 0.001, and CNR: 13.0%, p < 0.001). Similar or better image quality, lesion detectability, and diagnostic confidence was achieved in PRC images compared to the non-PRC images as those assessed by the expert readers.

Conclusions
A tissue-independent PRC increased the SUVmax and CNR in soft tissue, bone, and lung lesions with a larger effect for the small lesions. Visual assessment demonstrated similar or better image quality, lesion detectability, and diagnostic confidence in PRC images compared to the non-PRC images.
Decay of self-incompatibility within a lifespan in Physalis acutifolia (Solanaceae)
Authors: Pretz Chelsea , Au Erica , Smith Stacey D. 
Published: January 2025

Key message
Self-incompatibility decays with age in plants of Physalis acutifolia, and plants that have transitioned to selfing produce fewer seeds but with comparable viability. Self-compatibility in this system is closely related to flower size, which is in turn dependent on the direction of the cross, suggesting parental effects on both morphology and compatibility.

Abstract
The sharpleaf groundcherry, Physalis acutifolia, is polymorphic for self-compatibility, with naturally occurring self-incompatible (SI) and self-compatible (SC) populations. Moreover, SI individuals have been documented to transition to SC with age, at least in greenhouse conditions. Here we tested whether this within-lifespan transition occurs predictably (developmental decay of SI) or could result from a lack of pollination (a plastic response). Using greenhouse crosses, we demonstrated that SI P. acutifolia plants transition to SC after 70 days, regardless of pollination treatment, consistent with predictable developmental decay. This loss of SI corresponds to a loss of pollen inhibition, with self-pollen often reaching the ovary after 24 h. The originally SI plants that transition to SC can produce viable seeds from self crosses, albeit significantly fewer than from outcrosses of SI plants or from lines fixed for SC. Throughout the experiment, we observed that flower size, which differs between SI and SC populations, was highly correlated with the compatibility phenotype. These findings suggest that the mechanisms leading to the loss of SI during a lifespan are similar to those involved in fixed losses of SI, but that older plants that transition to SC do not present the same reproductive capacity as fixed selfers.
Deep learning and vision transformers-based framework for breast cancer and subtype identification
Authors: Jahan Ishrat , Chowdhury Muhammad E. H. , Vranic Semir , Al Saady Rafif Mahmood , Kabir Saidul , Pranto Zahid Hasan , Mim Sabiha Jahan , Nobi Sadia Farhana 
Published: January 2025

Abstract
Breast cancer, marked by uncontrolled cell growth in breast tissue, is the most common cancer among women and a second-leading cause of cancer-related deaths. Among its types, ductal and lobular carcinomas are the most prevalent, with invasive ductal carcinoma accounting for about 70–80% of cases and invasive lobular carcinoma for about 10–15%. Accurate identification is crucial for effective treatment but can be time-consuming and prone to interobserver variability. AI can rapidly analyze pathological images, providing precise, cost-effective identification, thus reducing the pathologists’ workload. This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. The framework comprises three key components: detecting cancerous patches, identifying cancer subtypes (ductal and lobular carcinoma), and predicting patient-level outcomes from whole slide images (WSI). The validation process includes visualization using Score-CAM to highlight cancer-affected areas prominently. Datasets include 111 WSIs (85 malignant from the Warwick HER2 dataset and 26 benign from pathologists). For subtype detection, there are 57 ductal and 8 lobular carcinoma cases. A total of 28,428 annotated patches were reviewed by two expert pathologists. Four pre-trained models—DenseNet-201, MobileNetV2, an ensemble of these two, and a Vision Transformer-based model—were fine-tuned and tested on the patches. Patient-level results were predicted using a majority voting technique based on the percentage of each patch type in the WSI. The Vision Transformer-based model outperformed other models in patch classification, achieving an accuracy of 96.74% for cancerous patch detection and 89.78% for cancer subtype classification. For WSI-based cancer classification, the majority voting method attained an F1-score of 99.06 and 96.13% for WSI-based cancer subtype classification. The proposed deep learning-based framework for advanced breast cancer detection and subtype identification yielded promising results. This advanced framework shows great promise in medical practice, offering an economical, efficient solution for generating accurate, clinically relevant results and enhancing diagnostic accuracy in hospitals, research centers, and pathology laboratories. Nonetheless, further studies are needed to validate its effectiveness across various environments and larger datasets.
Antibiotic resistance and preventive strategies in foodborne pathogenic bacteria: a comprehensive review
Authors: Farrukh Masooma , Munawar Ayesha , Nawaz Zeenat , Hussain Nazim , Hafeez Ahmer Bin , Szweda Piotr 
Published: January 2025

Abstract
Antibiotic resistance in foodborne bacteria poses a substantial global health challenge. Reports indicate that antibiotic overuse in middle-class and low-income countries is a significant factor in the ever-increasing resistance. Resistance mechanisms have developed through enzymatic hydrolysis, reduced membrane permeability, efflux pumps, and target site mutations. Preventive measures like proper hygiene and safe food preparation, vaccination, antibiotic stewardship and surveillance, implementing infection prevention and control (IPC) measures, good agricultural practices, and investigating novel approaches like CRISPR, NGS, nanotechnology, and bacteriophages may be employed to address this challenge. Naturally occurring preservatives (e.g., nisin) are alternatives to antibiotics for food preservation. Prebiotics, probiotics, nanobiotics, phage treatment, and antimicrobial peptides are also substitutes for antibiotics. Furthermore, plant-derived compounds, such as essential oils and plant extracts, are promising substitutes for antibiotics in animal production. This review focuses on the mechanisms of underlying antibiotic resistance in foodborne pathogens, necessary preventive measures, and the challenges associated.

Graphical abstract

Created using BioRender https://www.biorender.com/
Moving to a “flat with referee” in older age: an embodied and social transition
Authors: Gfeller Fabienne , Zittoun Tania 
Published: January 2025

Abstract
Moving in older age is a critical experience in the person’s life trajectory as it may require an important reorganization of their relation to the social and material environment. In order to better understand this experience, we propose to address it drawing on the concepts of rupture and transition as developed in the frame of sociocultural lifecourse psychology. We complete this theoretical framework with the distinction between frame and space and with literature on bodies and embodiment. We present a case study conducted in a building of so-called flats with referee, a type of flats developed in the frame of a political reform addressing demographic ageing, in a Swiss canton. We focus in particular on interviews with inhabitants before and after they moved to these flats. In the analysis, we discuss two aspects of this rupture/transition which, we argue, play an important role in the persons’ experiences: firstly, the embodied dimension of the experience of rupture, which is notably related to the experience of a new physical environment; secondly, the social relations in these buildings designed especially to favor relationships among neighbors. Through this analysis, we aim at contributing to the understanding of development in older age from a sociocultural psychological perspective and to the literature on ruptures and transitions as we highlight theoretical and methodological implications.
Pd nanocatalyst supported on chitosan–waste oil microspheres for efficient degradation of industrial pollutants in water
Authors: Karaoğlu Kaan , Yılmaz Baran Nuray , Özçifçi Zehra , Akçay Hakkı Türker , Baran Talat 
Published: January 2025

Abstract
Disposal of industrial pollutants is one of the most important working topics today. Pd–doped catalysts have high efficiency in the degradation of many organic pollutants. Within the scope of this study, waste engine oil (WEO) was used as activated carbon (AC) source and then AC was encapsulated with chitosan (CS) to prepared chitosan–based microbeads (CS/WEO AC) for catalyst support. After treatment with glyoxal as cross–linker, Pd nanoparticles with spherical shape and 16.8 nm diameter were decorated on the microbeads (Pd@CS/WEO AC). Efficiency of Pd@CS/WEO AC on the reduction of 4-nitrophenol (4-NP), 4-nitro-o-phenylenediamine (4-NPDA), 2-nitroaniline (2-NA), 4-nitroaniline (4-NA) as nitroarens; methylene blue (MB), methyl orange (MO), and rhodamine B (RhB) as organic dyes; Cr(VI) and K3[Fe(CN)6] was examined in aqueous media. Developed Pd@CS/WEO AC nanocatalyst reduced nitroarenes, organic dyes, Cr(VI) and K3[Fe(CN)6] in very short times (0–130 s). Based on kinetic studies, the rate constants for Pd@CS/WEO AC–catalyzed reduction reactions of 2–NA, 4–NP, 4–NA, 4–NPDA, MO, RhB, [Fe(CN)6]3⁻, and Cr(VI) were found to be 0.018 s−1, 0.007 s−1, 0.026 s−1, 0.012 s−1, 0.021 s−1, 0.065 s−1, 0.048 s−1, and 0.042 s−1, respectively. Additionally, it was confirmed that Pd@CS/WEO AC is a long–lasting catalyst, as it was reused for five successive runs in the reduction of 4–NP. In this study, we aim to design new materials by modifying carbon–containing waste sources with biological macromolecules and investigate the possible applications of these materials to remove some pollutants from water sources.
Renal denervation in the setting of heart failure
Authors: Koppe-Schmeißer Franziska , Fengler Karl , Kresoja Karl-Patrik , Lurz Philipp , Rommel Karl-Philipp 
Published: January 2025

Abstract
Renal Denervation (RDN) has emerged over the last decade as a third pillar in the treatment of arterial hypertension, alongside pharmacotherapy and lifestyle modifications. Mechanistically, it reduces central sympathetic overactivation, a process also relevant to heart failure. In this mini-review, we summarize the development of RDN for heart failure, discuss the current evidence supporting its effects, and provide an outlook on future developments.
Exploring Parent and Autistic Youth Perspectives to Inform Adaptations for an Advocacy Program
Authors: Burke Meghan M. , Johnston Amanda N. , Ramos-Torres Saury , Singh Sanskriti , DaWalt Leann Smith , Taylor Julie Lounds 
Published: January 2025

Abstract
Autistic Youth and their parents often struggle to access adult disability services. It is important to garner feedback from autistic youth and their parents to inform interventions to facilitate access to adult services. In this study, 128 parents of transition-aged autistic youth and 78 autistic youth completed individual interviews to inform adaptations to an advocacy program designed to improve access to adult services. Parents reported wanting a navigator (versus a group) program to help them learn to navigate adult services. However, parents reported concerns about the quality of navigators. Autistic youth reported wanting to learn about diverse issues in adulthood including types of adult services; most youth wanted to learn about services via videos. Implications for research and practice are discussed.
Novel probe with iRGD integrated graphene oxide nanoparticles and labeled with 131I for detection of thyroid papillary carcinoma cells
Authors: Li Pinghui , Feng Jiaojiao , Wang Tingting , Yang Shici , Cai Xiaoming , Zhang Yaohui , Cai Jinming , Zhu Gaohong 
Published: January 2025

Abstract
Integrating multiple targets and hence bio-distribution effectively for papillary thyroid carcinoma (PTC) treatment remains a significant challenge, which can be addressed by using suitable nano-scale materials. Herein, iRGD-modified graphene oxide (GO) loaded 131I are developed for the specific treatment of PTC strengthened integrin targeting. Fine structural characteristics of GO and GO-iRGDs were characterized by fourier transform infrared spectroscopy (FT-IR), scanning electron microscope (SEC), Raman spectrum and X-ray photoelectron spectroscopy (XPS). The results showed that there were characteristic peaks and chemical bonds on GO and GO-iRGDs by FT-IR, the D-peak and G-peak of GO disappeared by Raman spectrum and C-N bond with iRGD of GO-iRGDs were strong by XPS. These 131I-GO-iRGDs and 131I-GOs were taken up by PTC cell (TPC-1, BCPAP, and IHH-4) through endocytosis after 48 h and 72 h in cell uptake test, especially the uptake rate of 131I-GO50-iRGD was the highest. The CCK-8 cytotoxicity test of 131I-GO-iRGDs and 131I-GOs showed that these nanoparticles toxicity were higher than that of Na131I and finally promoted PTC death. In vitro data verified the targeting mechanism of GO and 131I for PTC cell line is based on the relevant advantages of binding cell, followed by iRGD-endowed cell surface transport. The tailored design of GO-iRGDs validates a promising paradigm for radioisotope (131-iodine) delivery to combat PTC resistance and metastasis resulting from poor target access for effective combination therapy.
Multilateral Supervaluationism and Classicality
Authors: Kortenbach Bas , Incurvati Luca , Schloeder Julian J. 
Published: January 2025

Abstract
Incurvati and Schlöder (Journal of Philosophical Logic, 51(6), 1549–1582, 2022) have recently proposed to define supervaluationist logic in a multilateral framework, and claimed that this defuses well-known objections concerning supervaluationism’s apparent departures from classical logic. However, we note that the unconventional multilateral syntax prevents a straightforward comparison of inference rules of different levels, across multi- and unilateral languages. This leaves it unclear how the supervaluationist multilateral logics actually relate to classical logic, and raises questions about Incurvati and Schlöder’s response to the objections. We overcome the obstacle, by developing a general method for comparisons of strength between multi- and unilateral logics. We apply it to establish precisely on which inferential levels the supervaluationist multilateral logics defined by Incurvati and Schlöder are classical. Furthermore, we prove general limits on how classical a multilateral logic can be while remaining supervaluationistically acceptable. Multilateral supervaluationism leads to sentential logic being classical on the levels of theorems and regular inferences, but necessarily strictly weaker on meta- and higher-levels, while in a first-order language with identity, even some classical theorems and inferences must be forfeited. Moreover, the results allow us to fill in the gaps of Incurvati and Schlöder’s strategy for defusing the relevant objections.