bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of contemporary treatment of DCIS on the risk of developing an ipsilateral invasive Breast cancer (iIBC) in the Dutch population
Authors: Alaeikhanehshir Sena , Schmitz Renée S.J.M. , van den Belt-Dusebout Alexandra W. , van Duijnhoven Frederieke H. , Verschuur Ellen , van Seijen Maartje , Schaapveld Michael , Lips Esther H. , Wesseling Jelle ,   and Grand Challenge PRECISION Consortium
Published: November 2023

Abstract
Purpose
To assess the effects of contemporary treatment of ductal carcinoma in situ (DCIS) on the risk of developing an ipsilateral invasive breast cancer (iIBC) in the Dutch female population.

Methods
Clinical data was obtained from the Netherlands Cancer Registry (NCR), a nationwide registry of all primary malignancies in the Netherlands integrated with the data from PALGA, the Dutch nationwide network and registry of histo- and cytopathology in the Netherlands, on all women in the Netherlands treated for primary DCIS from 2005 to 2015, resulting in a population-based cohort of 14.419 women. Cumulative iIBC incidence was assessed and associations of DCIS treatment type with subsequent iIBC risk were evaluated by multivariable Cox regression analyses.

Results
Ten years after DCIS diagnosis, the cumulative incidence of iIBC was 3.1% (95% CI: 2.6–3.5%) in patients treated by breast conserving surgery (BCS) plus radiotherapy (RT), 7.1% (95% CI: 5.5–9.1) in patients treated by BCS alone, and 1.6% (95% CI: 1.3–2.1) in patients treated by mastectomy. BCS was associated with a significantly higher risk for iIBC compared to BCS + RT during the first 5 years after treatment (HR 2.80, 95% CI: 1.91–4.10%). After 5 years of follow-up, the iIBC risk declined in the BCS alone group but remained higher than the iIBC risk in the BCS + RT group (HR 1.73, 95% CI: 1.15–2.61).

Conclusions
Although absolute risks of iIBC were low in patients treated for DCIS with either BCS or BCS + RT, risks remained higher in the BCS alone group compared to patients treated with BCS + RT for at least 10 years after DCIS diagnosis.
Cross-lagged Relations of Children’s Somatoform Complaints: Embedment within Learning Theory and Secondary Gain Concept
Authors: Vesterling Christina 
Published: November 2023

AbstractThe current state of research on the emergence and maintenance of somatoform symptoms in childhood identifies the influence of both child and parental factors. The aim of the present study is to examine reciprocal relations and stability between somatoform complaints, children’s adaptive emotion regulation (ER) strategies, withdrawal behavior, and overprotective parenting. In total, 97 children (female n = 46, (47%); M age T1 = 9.7 years (SD) = 0.54) and their parents completed questionnaires at two time points. A cross-lagged panel design was used to analyze reciprocal associations and stability effects between the included variables over one year (Kearney, 2017; Selig & Little, 2012). Results show significant autoregressive effects of both the individual child and parental variables. Parental overprotection predicted child emotion regulation, withdrawal behavior, and somatoform complaints over time; with no reciprocal effects. Similarly, only unilateral effects were shown between adaptive ER strategies, and withdrawal behaviors, and somatoform symptoms. The results are discussed in the framework of learning theory and secondary gain.
Residual stress analysis in industrial parts: a comprehensive comparison of XRD methods
Authors: Sarmast Ardeshir , Schubnell Jan , Preußner Johannes , Hinterstein Manuel , Carl Eva 
Published: November 2023

AbstractA recently emerged XRD-based cosα residual stress measurement method, which utilizes imaging plate detectors, has attracted special attention from both academia and industry. There are uncertainties about to which extent the method could be used and about the accuracy of the measurements when analyzing industrial components. This work investigates the accuracy of the method by targeting four common types of material structures for the XRD experiments: preferred orientation of the microstructure (texture effect), coarse grain microstructure (coarse grain effect), a combination of both, and materials with steep lateral or in-depth residual stress gradients. The analysis was carried out by the conventionally used sin2ψ and the newly developed cosα methods on ferritic and austenitic steels, aluminum alloys, and SiSiC ceramics. The results indicate that both methods are reliable in most cases. However, cosα method has higher uncertainties and is more sensitive to the initial microstructure of the material.
Beyond Continuous versus Categorical Dichotomy: Uncovering Latent Structure of Non-electoral Political Participation Using Zero-Inflated Models
Authors: Koc Piotr 
Published: November 2023

AbstractWhile modeling political participation as a latent variable, researchers usually choose whether to conceptualize and model participation as a latent continuous or latent categorical variable. When participation is modeled as a continuous variable, factor analytic and item-response theory models are used. When modeled as a categorical variable, latent class analysis is employed. However, both conceptualizations and modeling approaches rest upon very strong assumptions. In the continuous case, all subjects are assumed to come from the same homogenous population; in the categorical case, we assume that no quantitative heterogeneity exists within the latent classes. In this work, I argue that these assumptions are implausible and propose to model participation using zero-inflated measurement and regression models that assume the existence of two latent classes-politically disengaged and politically active-with the latter class being quantitatively heterogenous (people in that class are thought to participate to a varying degree). The results show that the models accounting for the latent class of politically disengaged have much better out-of-sample predictive accuracy. Moreover, modeling the zero-inflation changes estimates of measurement and regression models, and offers new research opportunities because with zero-inflated models we can explicitly tackle the question of what impacts the probability of ending up in the latent class of politically disengaged.
A Generalization of Beall’s Off-Topic Interpretation
Authors: Song Yang , Omori Hitoshi , Arenhart Jonas R. B. , Tojo Satoshi 
Published: November 2023

AbstractIn one of his papers, JC Beall advanced a new and interesting interpretation of Weak Kleene logic, in terms of on-topic/off-topic. In brief, Beall suggests to read the third value as off-topic, whereas the two classical values are read as true and on-topic and false and on-topic. Building on Beall’s new interpretation, the aim of this paper is threefold. First, we discuss two motivations to enrich Beall’s interpretation, and offer an alternative semantic framework that reflects our motivations. Second, by making use of our new framework, we will offer a new interpretation of the logic of Catuskoti which combines Beall’s proposal of having FDE as the correct logic with the on-topic/off-topic divide. Finally, we will offer a general result that will allow us to make sense of a family of infectious logics in terms of Beall’s on-topic/off-topic reading.
A formal framework to design and prove trustworthy memory controllers
Authors: Lisboa Malaquias Felipe , Asavoae Mihail , Brandner Florian 
Published: November 2023

AbstractIn order to prove conformance to memory standards and bound memory access latency, recently proposed real-time DRAM controllers rely on paper and pencil proofs, which can be troubling: they are difficult to read and review, they are often shown only partially and/or rely on abstractions for the sake of conciseness, and they can easily diverge from the controller implementation, as no formal link is established between both. We propose a new framework written in Coq, in which we model a DRAM controller and its expected behaviour as a formal specification. The trustworthiness in our solution is two-fold: (1) proofs that are typically done on paper and pencil are now done in Coq and thus certified by its kernel, and (2) the reviewer’s job develops into making sure that the formal specification matches the standards—instead of performing a thorough check of the mathematical formalism. Our framework provides a generic DRAM model capturing a set of controller properties as proof obligations, which all implementations must comply with. We focus on properties related to the assertiveness that timing constraints are respected, every incoming request is handled in bounded time, and the DRAM command protocol is respected. We refine our specification with two implementations based on widely-known arbitration policies—First-in First-Out (FIFO) and Time-Division Multiplexing (TDM). We extract proved code from our model and use it as a “trusted core” on a cycle-accurate DRAM simulator.
Childhood sunburn and risk of melanoma and non-melanoma skin cancer: a Mendelian randomization study
Authors: Li Yajia , Wu Jianhuang , Cao Ziqin 
Published: November 2023

AbstractPrevious evidence has suggested that childhood sunburn could be a risk factor for cutaneous malignant melanoma (MM) and non-melanoma skin cancer (NMSC). However, existing observational studies could not reveal the causal associations genetically. This study aimed to investigate whether there was a genetic causal relationship between childhood sunburn and skin cancers. Univariable Mendelian randomization (MR) and Causal Analysis Using Summary Effect analysis was carried out for causal estimates and evaluation for the horizontal pleiotropy. Multivariable MR and the mediation effects analysis were used to test whether the causal associations were mediated by potential confounders. A suggestively significant causal association between childhood sunburn and MM was indicated (OR = 4.74; 95% CI: 1.31–17.19; p = 1.79E-02). Genetically predicted childhood sunburn was significantly associated with increased risk of overall melanoma in situ (MIS) (OR = 4.02; 95% CI: 2.00–8.08; p = 9.40E-05), MIS of face (OR = 18.28; 95% CI: 5.28–63.35; p = 4.59E-06), and MIS of trunk (OR = 7.05; 95% CI: 2.06–24.13; p = 1.88E-03). Similar trends were found for childhood sunburn and NMSC (OR = 8.16; 95% CI: 6.07–10.99; p = 1.53E-20), including both basal cell carcinoma (BCC) (OR = 3.76; 95% CI:2.96–4.77; p = 2.19E-08) and squamous cell carcinoma (SCC) (OR = 7.44; 95% CI: 5.09–10.87; p = 2.19E-08). After adjustment for hair and skin color, facial ageing, vitamin D levels, body mass index, alcohol consumption, and smoking status, childhood sunburn showed an independent association with MIS, MIS of face, MIS of trunk, as well as NMSC, including both BCC and SCC. Mediation analysis showed no significant mediation effect. This study demonstrated a causal relationship between childhood sunburn and the risk of both MM and NMSC, which suggested that enhanced screening and prevention for childhood sunburn could contribute to the early detection and decreased risk of MM and NMSC.
Exploring the Relationship Between Medication Adherence and Diabetes Disparities among Hispanic Patients in a Large Health System
Authors: Narain Kimberly Danae Cauley , Patel Ayan , Skootsky Samuel , Mangione Carol M. 
Published: November 2023

Abstract
Background
Sub-optimal HbA1c control is a driver of disparities in diabetes outcomes among Hispanic patients. Differences in medication adherence may underlie racial/ethnic differences in HbA1c level.

Objective
To examine the relationship between medication adherence and disparities in HbA1c level among Hispanic patients, relative to other racial/ethnic groups, obtaining care in the University of California Health System (UC Health).

Design
This study used clinical, administrative, and prescription dispensing data (January–December 2021) derived from the electronic health records of 5 Academic Medical Centers in UC Health, and linear regression models (LRMs) to conduct a cross-sectional analysis of the association between medication adherence, race/ethnicity, and HbA1c level. Adjusted LRMs were run with and without the measure of medication adherence to assess this relationship.

Participants
Patients with a UC Health primary care physician (PCP), with ≥ 1 PCP visit within the last 3 years, ages 18–75, reporting Asian, Hispanic, or White race/ethnicity, and who had ≥ 2 encounters with an ICD diagnosis of diabetes or had a prescription for a diabetes medication within the last 2 years, as of 12/31/21 (N = 27, 542; Asian = 6253, Hispanic = 7216, White = 14,073).

Main Measures
Our measure of medication adherence was the proportion of days covered (PDC) for diabetes medications in 2021. Our outcome was the most recent HbA1c value.

Key Results
In the LRM excluding the PDC, Hispanic ethnicity was positively associated with HbA1c level (β = 0.31, p =  < 0.001). In the LRM model including PDC, PDC was negatively associated with HbA1c level (β =  − 0.18, p =  < 0.001). However, the positive relationship between Hispanic ethnicity and HbA1c level did not change (β = 0.31, p =  < 0.001).

Conclusions
The findings of this study suggest that the relationship between Hispanic ethnicity, HbA1c level, and factors outside of medication adherence should be explored among primary care patients receiving care in Academic Medical Centers.
Geoheritage of the Kaliningrad Region, SE Baltic Coast
Authors: Chlachula Jiri , Mychko Eduard V. 
Published: November 2023

AbstractThe Kaliningrad Region is physiographically a mosaic and travel-attractive part of the SE Baltic coast. The Sambia Peninsula, the geomorphically most interesting, E-W-oriented extension of the mainland, has been shaped by past dynamic processes, starting with the Precambrian tectonics, the Palaeozoic and Mesozoic sea transitions, the Last Ice Age glaciations, the post-glacial riverine network formation, and the present shoreline erosion. The complex geological and palaeogeographical history generated a broad variety of geo-forms and landscapes, relicts of which are seen from the sea coast to the mainland. Rich fossils sealed in ancient, well-stratified formations of specific lithologies, with the famous Palaeogene amber beds, provide witness of past natural settings with flourishing life forms. The great geo-diversity of the peninsula underscores its scientific value as well as national and international tourism significance, adding to the historical architectural sites of this area. Some of these geomorphologically and geologically valuable places are increasingly threatened, besides anthropogenic factors, by storm surges, gravity flows and aeolian activity, causing progressing erosion along undercut cliffs, slumping and degradation of sand dune fields, among other geo-hazards. Survey, mapping and publicity of unique geo-sites are a proviso for their registration in natural heritage programmes with the implementation of appropriate geo-environmental protection strategies in balance with land-use management. This paper outlines the scientific, educational and touristic potential of the national geoheritage in the frame of the Baltic Sea coast geo-conservation initiatives.
The Impact of Resource Allocation on the Machine Learning Lifecycle
Authors: Duda Sebastian , Hofmann Peter , Urbach Nils , Völter Fabiane , Zwickel Amelie 
Published: November 2023

AbstractAn organization’s ability to develop Machine Learning (ML) applications depends on its available resource base. Without awareness and understanding of all relevant resources as well as their impact on the ML lifecycle, we risk inefficient allocations as well as missing monopolization tendencies. To counteract these risks, the study develops a framework that interweaves the relevant resources with the procedural and technical dependencies within the ML lifecycle. To rigorously develop and evaluate this framework the paper follows the Design Science Research paradigm and builds on a literature review and an interview study. In doing so, it bridges the gap between the software engineering and management perspective to advance the ML management discourse. The results extend the literature by introducing not yet discussed but relevant resources, describing six direct and indirect effects of resources on the ML lifecycle, and revealing the resources’ contextual properties. Furthermore, the framework is useful in practice to support organizational decision-making and contextualize monopolization tendencies.
Analyzing Semantically Enriched Trajectories
Authors: Seep Jana 
Published: November 2023

AbstractIn order to understand what influences the movement of an object or person it is important to consider a variety of factors. These could be the visibility of certain landmarks, the current temperature or the presence of a crowded area to be avoided. These insights then can be used to understand movement in the public sector and improve our build environment, e.g. to reduce street traffic accidents or orientation in complex buildings. The following extended abstract is a summary of a doctoral thesis submitted to the University of Münster. The thesis was successfully defended in February 2023 [16]. The dissertation focuses on the analysis of so-called semantically enriched trajectories, which are used to describe observed movement. It proposes a new model based on an extended finite state machine, which allows for the representation and consideration of the information about the context of the trajectory. With the new model, we consider two main steps in trajectory analysis: First, we aim to infer a semantically enriched representative trajectory for a given cluster of trajectories. Second, we introduce a variation of the well-known k-means algorithm to calculate clusters based on the given context of trajectories. To show semantic feasibility of our approach, we conclude this work by evaluating the possibility to provide decision support for domain experts in two different public sector related contexts.
Optimization and comparison of heat- and ultrasound-assisted extraction methods for anthocyanin recovery from Sicana odorifera fruit epicarp
Authors: Albuquerque Bianca R. , Pinela José , Pereira Carla , Calhelha Ricardo C. , Oliveira Izamara , Heleno Sandrina , Oliveira M. Beatriz P.P. , Barros Lillian 
Published: November 2023

AbstractThis study is aimed at maximizing the recovery of anthocyanins from Sicana odorifera fruit epicarp by heat- and ultrasound-assisted extraction (HAE and UAE, respectively) and at evaluating the in vitro bioactive properties of the anthocyanin-rich extracts obtained under optimized conditions. The optimization process utilized response surface methodology (RSM) through a central composite rotatory design (CCRD), combining time, ethanol percentage, and temperature or ultrasonic power. Response criteria included extraction yield (determined by gravimetry) and total anthocyanin content (TAC, quantified by HPLC-DAD). Under global optimum conditions, HAE (62 min, 90 °C, 27% ethanol) recovered 281 mg TAC/g extract with a yield of 23% (w/w) extract, while UAE (23 min, 500 W, 40% ethanol) yielded 200 mg TAC/g extract and 26% (w/w) extract, thus confirming the models’ predictive capacity. Furthermore, although HAE has produced extracts with higher anthocyanin concentrations, the cost-benefit associated with the processing conditions of each method must be considered. Both extracts showed antioxidant activity by inhibiting thiobarbituric acid reactive substances and oxidative hemolysis, but did not show anti-inflammatory, cytotoxic, and antimicrobial effects. Overall, this study promotes the upcycling of fruit waste into new ingredients for the food industry and other sectors that use anthocyanins, in line with sustainability and circular economy principles.
Traction power systems for electrified railways: evolution, state of the art, and future trends
Authors: Hu Haitao , Liu Yunjiang , Li Yong , He Zhengyou , Gao Shibin , Zhu Xiaojuan , Tao Haidong 
Published: November 2023

AbstractTraction power systems (TPSs) play a vital role in the operation of electrified railways. The transformation of conventional railway TPSs to novel structures is not only a trend to promote the development of electrified railways toward high-efficiency and resilience but also an inevitable requirement to achieve carbon neutrality target. On the basis of sorting out the power supply structures of conventional AC and DC modes, this paper first reviews the characteristics of the existing TPSs, such as weak power supply flexibility and low-energy efficiency. Furthermore, the power supply structures of various TPSs for future electrified railways are described in detail, which satisfy longer distance, low-carbon, high-efficiency, high-reliability and high-quality power supply requirements. Meanwhile, the application prospects of different traction modes are discussed from both technical and economic aspects. Eventually, this paper introduces the research progress of mixed-system electrified railways and traction power supply technologies without catenary system, speculates on the future development trends and challenges of TPSs and predicts that TPSs will be based on the continuous power supply mode, employing power electronic equipment and intelligent information technology to construct a railway comprehensive energy system with renewable energy.
Hedonic real estate price estimation with the spatiotemporal geostatistical model
Authors: Muto Sachio , Sugasawa Shonosuke , Suzuki Masatomo 
Published: November 2023

AbstractThis study argues that the spatiotemporal geostatistical model for real estate prices, which accounts for and incorporates spatial autocorrelation, can be estimated successfully using the Bayesian Markov Chain Monte Carlo (MCMC) estimation. While this procedure often encounters difficulty in calculating probabilistic densities in the Metropolis–Hastings (MH) algorithm, this study introduces a feasible and practical estimation method, providing useful estimated parameters for the model. Using single-family house transaction data, we show that ordinary estimations of real estate prices, with respect to certain explanatory variables, may lead to the underestimation of standard errors of coefficients for explanatory variables with spatial effects unless spatial autocorrelation is controlled for. Our model also makes it possible to obtain accurate in-sample predictions and moderately improved out-of-sample predictions for real estate prices. This study further estimates a “decay rate:” a diminishing correlation between real estate prices and increasing distance, showing that geographical proximities are likely to have an important impact on real estate prices, especially at a range under 600 m.