bluuebunny/crossref_metadata_2025_split huggingface dataset:
Concordance of immunohistochemistry for predictive and prognostic factors in breast cancer between biopsy and surgical excision: a single-centre experience and review of the literature
Authors: Rossi Chiara , Fraticelli Sara , Fanizza Marianna , Ferrari Alberta , Ferraris Elisa , Messina Alessia , Della Valle Angelica , Anghelone Chiara Annunziata Pasqualina , Lasagna Angioletta , Rizzo Gianpiero , Perrone Lorenzo , Sommaruga Maria Grazia , Meloni Giulia , Dallavalle Silvia , Bonzano Elisabetta , Paulli Marco , Di Giulio Giuseppe , Sgarella Adele , Lucioni Marco 
Published: February 2023

Abstract
Purpose
Accurate evaluation of breast cancer on bioptic samples is of fundamental importance to guide therapeutic decisions, especially in the neoadjuvant or metastatic setting. We aimed to assess concordance for oestrogen receptor (ER), progesterone receptor (PR), c-erbB2/HER2 and Ki-67. We also reviewed the current literature to evaluate our results in the context of the data available at present.

Methods
We included patients who underwent both biopsy and surgical resection for breast cancer at San Matteo Hospital, Pavia, Italy, between January 2014 and December 2020. ER, PR, c-erbB2, and Ki-67 immunohistochemistry concordance between biopsy and surgical specimen was evaluated. ER was further analysed to include the recently defined ER-low-positive in our analysis.

Results
We evaluated 923 patients. Concordance between biopsy and surgical specimen for ER, ER-low-positive, PR, c-erbB2 and Ki-67 was, respectively, 97.83, 47.8, 94.26, 68 and 86.13%. Cohen’s κ for interobserver agreement was very good for ER and good for PR, c-erbB2 and Ki-67. Concordance was especially low (37%) in the c-erbB2 1 + category.

Conclusion
Oestrogen and progesterone receptor status can be safely assessed on preoperative samples. The results of this study advise caution in interpreting biopsy results regarding ER-low-positive, c-erbB2/HER and Ki-67 results due to a still suboptimal concordance. The low concordance for c-erbB2 1 + cases underlines the importance of further training in this area, in the light of the future therapeutic perspectives.
Silencing Paritutu
Authors: de Froideville Sarah Monod , Gibbs Andrew 
Published: February 2023

Abstract
This paper exposes the New Zealand (NZ) government’s longstanding campaign to silence evidence of health impacts from dioxin-containing emissions during the production of the herbicide 2,4,5-trichlorophenoxyacetic acid (2,4,5-T) in New Plymouth in the 1960s. Our analysis of official documentation and related literature between 1960–2005 reveals a series of investigations engaging various silencing mechanisms that have culminated in a case of historical pollution. By doing so, they have intensified the acute injuries, chronic disease and multigenerational impacts stemming from the emissions, while discounting the lived experiences of suffering. We argue that silencing be seen as an epistemic violence that is intertwined with, but stands in evidence of, actions to ignore and deny harms that could be utilized in securing the long overdue acknowledgement and appropriate assistance for the Paritutu community.
Supporting and understanding students’ collaborative reflection-in-action during design-based learning
Authors: Zhang Zhongya , Bekker Tilde , Markopoulos Panos , Skovbjerg Helle Marie 
Published: February 2023

AbstractDesign-Based Learning (DBL) is a pedagogical approach where learning is situated in the context of design activities that are typically carried out in groups. During collaborative design inquiry, reflection is of vital importance for learning from design experience. The paper presents a research-through-design study with the intention to generate knowledge on how to design for supporting reflection-in-action during design-based learning. This study addresses the research question: how can a media tool support a group of students in externalizing reflection while they are engaging in DBL? This paper describes the design and evaluation of ReflectionSchema, a tool intended to support reflection-in-action in such a learning environment. The tool offers visualized guidance for coordinating a group of students’ understanding of how they can combine reflecting with making design representations. The tool was trialed by 13 groups of students aged 12 to 13, who used the tool to record short reflection videos along their whole DBL process. We analyzed the efficacy of ReflectionSchema in terms of supporting collaborative reflection-in-action. Furthermore, we investigated the process of reflection-in-action during Design-based learning processes by examining the collaborative reflection patterns in the reflection videos that include the actions, roles, recording preference/style, and strategies employed. We discussed how these findings can inform the design of other reflection tools for similar settings.
Biomaterials for orthopedic applications and techniques to improve corrosion resistance and mechanical properties for magnesium alloy: a review
Authors: Gutiérrez Púa Lizeth Del Carmen , Rincón Montenegro Juan Carlos , Fonseca Reyes Ana María , Zambrano Rodríguez Habib , Paredes Méndez Virginia Nathaly 
Published: February 2023

AbstractThe present study aims to collect data, compare results and assess techniques used for improving corrosion resistance and mechanical properties of biodegradable Mg alloys for fixation elements and orthopedic applications. A general description of biomaterials used for orthopedic implants is performed, including non-bioabsorbable materials. Different methods for reducing the corrosion rate in Mg alloys are researched, and the efficiencies are assessed. After evaluating different techniques, surface modification is found to be the most promising technique to reduce the corrosion rate with an efficiency of 85%. Regarding the Mg alloying agents, Zn is considered as the best candidate to improve the corrosion response and biocompatibility of the Mg.
Approximation of the Number of Descendants in Branching Processes
Authors: Kutsenko Anton A. 
Published: February 2023

AbstractWe discuss approximations of the relative limit densities of descendants in Galton–Watson processes that follow from the Karlin–McGregor near-constancy phenomena. These approximations are based on the fast exponentially decaying Fourier coefficients of Karlin–McGregor functions and the binomial coefficients. The approximations are sufficiently simple and show good agreement between approximate and exact values, which is demonstrated by several numerical examples.
Model reduction for constrained mechanical systems via spectral submanifolds
Authors: Li Mingwu , Jain Shobhit , Haller George 
Published: February 2023

AbstractDynamical systems are often subject to algebraic constraints in conjunction with their governing ordinary differential equations. In particular, multibody systems are commonly subject to configuration constraints that define kinematic compatibility between the motion of different bodies. A full-scale numerical simulation of such constrained problems is challenging, making reduced-order models (ROMs) of paramount importance. In this work, we show how to use spectral submanifolds (SSMs) to construct rigorous ROMs for mechanical systems with configuration constraints. These SSM-based ROMs enable the direct extraction of backbone curves and forced response curves and facilitate efficient bifurcation analysis. We demonstrate the effectiveness of this SSM-based reduction procedure on several examples of varying complexity, including nonlinear finite-element models of multibody systems. We also provide an open-source implementation of the proposed method that also contains all details of our numerical examples.
Examining the psychometric properties of a split version of the EQ-5D-5L anxiety/depression dimension in patients with anxiety and/or depression
Authors: Belay Yared Belete , Mihalopoulos Cathrine , Lee Yong Yi , Mulhern Brendan , Engel Lidia 
Published: February 2023

Abstract
Purpose
This study explored differences in self-reported responses and the psychometric performance of the composite EQ-5D-5L anxiety/depression (A/D) dimension compared with a split version of the dimension where ‘anxiety’ and ‘depression’ are measured separately.

Methods
People with anxiety and/or depression who visited the Amanuel Mental Specialized Hospital in Ethiopia completed the standard EQ-5D-5L with the added subdimensions. Correlation analysis was used to examine convergent validity with validated measures of depression (PHQ-9) and anxiety (GAD-7), while ANOVA was used to assess known-groups’ validity. Agreement between ratings for composite and split dimensions was compared using percent agreement and Cohen’s Kappa, while the proportion of ‘no problems’ reports was compared using the chi-square test. Discriminatory power analysis was undertaken using the Shannon index (H’) and Shannon Evenness index (J’). Open-ended questions explored participants' preferences.

Results
Of the 462 respondents, 30.5% reported no problems with the composite A/D, while 13.2% reported no problems on both subdimensions. Agreement between ratings for composite and split dimensions was highest for respondents with comorbid anxiety and depression. The depression subdimension had higher correlation with PHQ-9 (r = 0.53) and GAD-7 (r = 0.33) than the composite A/D dimension (r = 0.36 and r = 0.28, respectively). The split subdimensions and composite A/D could adequately differentiate respondents based on their severity of anxiety or depression. Slightly better informativity was observed in EQ-4D-5L + anxiety (H’ = 5.4; J’ = 0.47) and EQ-4D-5L + depression (H’ = 5.31; J’ = 0.46) than EQ-5D-5L (H’ = 5.19; J’ = 0.45).

Conclusions
Adopting two subdimensions within the EQ-5D-5L tool appears to perform slightly better than the standard EQ-5D-5L.
When non-target wildlife species and alien species both affect negatively to an artisanal fishery: the case of trammel net in the Alboran Sea
Authors: Báez José C. , Camiñas Juan A. , Aguilera Raquel , Castro-Gutiérrez Jairo , Real Raimundo 
Published: February 2023

AbstractIn the Northern Alboran Sea, artisanal small-scale fisheries using trammel nets suffer economic losses, and local fishermen see their way-of-life endangered, due to interactions with wildlife species such as alien species and dolphins. On the one hand, the alien seaweed Rugulopteryx okamurae, which was first recorded in the Alboran Sea in 2015, has undergone an intensive expansion in the sub-region, monopolizing the available seabed, causing radical changes in the underwater seascape and clogging the trammel nets. On the other hand, the damage caused to the fishing nets by dolphin fish predation is an ancient problem worldwide, but it is intensifying in the last years. The main objective of this study is to understand the main environmental and technical conditions that favor damages of fishing trammel nets in the Alboran Sea, which entails an important loss of catchability, due to (i) the clogging of the artisanal fishing trammel nets by invasive seaweed, and (ii) the breaking of the nets by dolphin predation. Through close monitoring of fishermen in port, we obtained direct information of 548 sets. Our results indicate that approximately 30% of trammel sets suffered a damage due to unwanted interaction with alien seaweeds and dolphins. As seaweeds invasion is a global problem while dolphin-fishing gear interaction is more local, we concluded that only a large-scale management of exotic algae, together with the involvement of local fishermen, could solve the economic problems of this activity.
Multimorbidity prevalence and patterns in chronic kidney disease: findings from an observational multicentre UK cohort study
Authors: Hawthorne Grace , Lightfoot Courtney J. , Smith Alice C. , Khunti Kamlesh , Wilkinson Thomas J. 
Published: February 2023

Abstract
Purpose
Multimorbidity [defined as two or more long-term conditions (LTCs)] contributes to increased treatment and medication burden, poor health-related quality of life, and worse outcomes. Management strategies need to be patient centred and tailored depending on existing comorbidities; however, little is known about the prevalence and patterns of comorbidities in people with chronic kidney disease (CKD). We investigated the prevalence of multimorbidity and comorbidity patterns across all CKD stages.

Methods
Multimorbidity was assessed, using a composite of self-report and clinical data, across four CKD groups stratified by eGFR [stage 1–2, stage 3a&b, stage 4–5, and kidney transplant (KTx)]. Principal component analysis using varimax rotation was used to identify comorbidity clusters across each group.

Results
Of the 978 participants (mean 66.3 ± 14 years, 60% male), 96.0% had multimorbidity. In addition to CKD, the mean number of comorbidities was 3.0 ± 1.7. Complex multimorbidity (i.e. ≥ 4 multiple LTCs) was identified in 560 (57.3%) participants. When stratified by CKD stage, the two most prevalent comorbidities across all stages were hypertension (> 55%) and musculoskeletal disorders (> 40%). The next most prevalent comorbidity for CKD stages 1–2 was lung conditions and for CKD stages 3 and 4–5 it was heart problems. CKD stages 1–2 showed different comorbidity patterns and clustering compared to other CKD stages.

Conclusion
Most people across the spectrum of CKD have multimorbidity. Different patterns of multimorbidity exist at different stages of CKD, and as such, clinicians should consider patient comorbidities to integrate care and provide effective treatment strategies.
Metformin and Dapagliflozin Attenuate Doxorubicin-Induced Acute Cardiotoxicity in Wistar Rats: An Electrocardiographic, Biochemical, and Histopathological Approach
Authors: Satyam Shakta Mani , Bairy Laxminarayana Kurady , Shetty Prakashchandra , Sainath P. , Bharati Sanjay , Ahmed Akheruz Zaman , Singh Varun Kumar , Ashwal A. J. 
Published: February 2023

AbstractDoxorubicin is a widely used anticancer drug whose efficacy is limited due to its cardiotoxicity. There is no ideal cardioprotection available against doxorubicin-induced cardiotoxicity. This study aimed to investigate the anticipated cardioprotective potential of metformin and dapagliflozin against doxorubicin-induced acute cardiotoxicity in Wistar rats. At the beginning of the experiment, cardiac screening of experimental animals was done by recording an electrocardiogram (ECG) before allocating them into the groups. Thereafter, a total of thirty healthy adult Wistar rats (150–200 g) were randomly divided into five groups (n = 6) and treated for eight days as follows: group I (normal control), group II (doxorubicin control), group III (metformin 250 mg/kg/day), group IV (metformin 180 mg/kg/day), and group V (dapagliflozin 0.9 mg/kg/day). On the 7th day of the treatment phase, doxorubicin 20 mg/kg was administered intraperitoneal to groups II, III, IV, and V. On the 9th day (immediately after 48 h of doxorubicin administration), blood was collected from anesthetized animals for glucose, lipid profile, CK-MB & AST estimation, and ECG was recorded. Later, animals were sacrificed, and the heart was dissected for histopathological examination. We found that compared to normal control rats, CK-MB, AST, and glucose were significantly increased in doxorubicin control rats. There was a significant reversal of doxorubicin-induced hyperglycemia in the rats treated with metformin 250 mg/kg compared to doxorubicin control rats. Both metformin (180 mg/kg and 250 mg/kg) and dapagliflozin (0.9 mg/kg) significantly altered doxorubicin-induced ECG changes and reduced the levels of cardiac injury biomarkers CK-MB and AST compared to doxorubicin control rats. Metformin and dapagliflozin protected the cellular architecture of the myocardium from doxorubicin-induced myocardial injury. Current study revealed that both metformin and dapagliflozin at the FDA-recommended antidiabetic doses mitigated doxorubicin-induced acute cardiotoxicity in Wistar rats. The obtained data have opened the perspective to perform chronic studies and then to clinical studies to precisely consider metformin and dapagliflozin as potential chemoprotection in the combination of chemotherapy with doxorubicin to limit its cardiotoxicity, especially in patients with comorbid conditions like type II diabetes mellitus.
Bacillus subtilis — Topmodel für Forschung, Gesundheit und Biotechnologie
Authors: Stülke Jörg 
Published: February 2023

AbstractThe hay bacillus Bacillus subtilis has attracted scientific interest for more than 100 years due to its ability to form heat-stable spores as an example of a rather simple differentiating organism. Thus, this bacterium became one of most studied model organisms. Moreover, B. subtilisis used in many biotechnological applications and even for food production. Current research still adds novel amazing properties to the huge body of knowledge on this remarkable bacterium.
Terpenoidsynthese in dem phototrophen Bakterium Rhodobacter capsulatus
Authors: Knapp Fabienne , Klaus Oliver , Svensson Vera , Heck Achim , Loeschcke Anita , Drepper Thomas 
Published: February 2023

AbstractTerpenoids offer various properties relevant for biotech and pharma industries. Production in microbes is a sustainable way to provide these compounds for industrial use. The phototrophic bacterium Rhodobacter capsulatus has some unique characteristics making it a promising alternative host for terpenoid production. Recombinant biosynthetic pathways can be individually adapted through modular engineering to meet the specific requirements of each microbial terpenoid production process.
Biased signaling: Option für die Entwicklung von Adipositas-Medikamenten?
Authors: Kühnen Peter , Wiegand Susanna , Biebermann Heike 
Published: February 2023

AbstractThe leptin-melanocortin pathway is playing a pivotal role for central body weight regulation. The melanocortin 4 receptor (MC4R) is essential to induce satiety after activation by the endogenous ligands α-/β-melanocyte-stimulating hormone. The relevance of biased signaling is exemplified by an MC4R agonist, which has been approved for the treatment of rare forms of monogenic obesity. Here biased signaling is discussed as new option to develop drugs with an improved safety profile.
Efficacy, feasibility and tolerability of ketogenic diet for the treatment of poor response to bariatric surgery
Authors: Vinciguerra F. , Longhitano S. , Carrubba N. , Piazza L. , Di Stefano C. , Arpi M. L. , Baratta R. , Hagnäs M. , Frittitta L. 
Published: February 2023

Abstract
Purpose
Poor response to bariatric surgery, namely insufficient weight loss (IWL) or weight regain (WR), is a critical issue in the treatment of obesity. The purpose of our study was to assess the efficacy, feasibility, and tolerability of very low-calorie ketogenic diet (VLCKD) for the management of this condition.

Methods
A real-life prospective study was conducted on twenty-two patients who experienced poor response after bariatric surgery and followed a structured VLCKD. Anthropometric parameters, body composition, muscular strength, biochemical analyses, and nutritional behavior questionnaires were evaluated.

Results
A significant weight loss (mean 14.1 ± 4.8%), mostly due to fat mass, was observed during VLCKD with the preservation of muscular strength. The weight loss obtained allowed patients with IWL to reach a body weight significantly lower than that obtained at the post-bariatric surgery nadir and to report the body weight of patients with WR at the nadir observed after surgery. The significantly beneficial changes in nutritional behaviors and metabolic profiles were observed without variations in kidney and liver function, vitamins, and iron status. The nutritional regimen was well tolerated, and no significant side effects were detected.

Conclusion
Our data demonstrate the efficacy, feasibility, and tolerability of VLCKD in patients with poor response after bariatric surgery.
Developing explicit customer preference models using fuzzy regression with nonlinear structure
Authors: Jiang Huimin , Wu Xianhui , Sabetzadeh Farzad , Chan Kit Yan 
Published: February 2023

AbstractIn online sales platforms, product design attributes influence consumer preferences, and consumer preferences also have a significant impact on future product design optimization and iteration. Online review data are the most intuitive feedback from consumers on products. Using the value of online review information to explore consumer preferences is the key to optimize the products, improve consumer satisfaction and meet consumer requirements. Therefore, the study of consumer preferences based on online reviews is of great importance. However, in previous research on consumer preferences based on online reviews, few studies have modeled consumer preferences. The models often suffer from the nonlinear structure and the fuzzy coefficients, making it challenging to build explicit models. Therefore, this study adopts a fuzzy regression approach with a nonlinear structure to model consumer preferences based on online reviews to provide reference and insight for subsequent studies. First, smartwatches were selected as the research object, and the sentiment scores of product reviews under different topics were obtained by text mining on the product online data. Second, a polynomial structure between product attributes and consumer preferences was generated to investigate the association between them further. Afterward, based on the existing polynomial structure, the fuzzy coefficients of each item in the structure were determined by the fuzzy regression approach. Finally, the mean relative error and mean systematic confidence of the fuzzy regression with nonlinear structure method were numerically calculated and compared with fuzzy least squares regression, fuzzy regression, adaptive neuro fuzzy inference system (ANFIS) and K-means-based ANFIS, and it was found that the proposed method was relatively more effective in modeling consumer preferences.
Feasibility of using bio-mimicking fish scale textures in LPBF for water drag-reducing surfaces
Authors: Scarpellini Alessandro , Schito Paolo , Demir Ali Gökhan 
Published: February 2023

AbstractIn this work, bio-mimicking fish scale textures are produced by LPBF and AlSi7Mg0.6 powder to reduce drag forces on nautical components. For this purpose, a surface texture inspired by the European bass skin was modelled and parametrized. Textures were applied over the external surface of purpose-designed specimens. Additive manufacturing quality of textures was assessed using focus variation microscopy to examine surface roughness as well as geometrical errors. Once the feasibility of producing the desired bio-mimicking surfaces was confirmed, the designed surface patterns were analysed in the computation fluid dynamics modelling environment. The behaviour of the surfaces was characterized in terms of drag force generated over a fixed dimension plate model. The most promising configuration was further investigated in a sensitivity analysis where variations in main stream velocity and in surface roughness are applied. Drag reduction was related to the lowering of the viscous component and was found to be in the order of 1–2%, with respect to a smooth surface, for free stream velocity of 2.5–5 m s−1 and average roughness smaller than the as-built condition. The results confirm that the modelled surfaces can be reproduced with sufficient geometrical fidelity, showing great promise for drag-reducing metallic components produced by additive manufacturing.