bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D Printing as an Aid in Acetabular Defects Compared to Established Diagnostics – a Survey
Authors: Babasiz Mari , Roos Jonas , Kasapovic Adnan , Kaczmarczyk Robert , Welle Kristian 
Published: January 2025

AbstractThe treatment of acetabular defects in revision arthroplasty is an increasing challenge. Different classifications have been introduced for preoperative planning to achieve the best possible result. 3D printing is a way to better visualize and understand these defects. The aim of this study was to facilitate classification, provide young doctors with a better understanding of complex defects, and ultimately improve preoperative planning and patient safety.The study was conducted at the 2022 BOUT congress, where health care professionals were provided with X-rays, a computed tomography (CT) scan, and a 3D print to classify acetabulums according to Paprosky and ADC. A questionnaire was administered to gather information on their familiarity with the classification systems and perception of 3D models in the clinic.The study involved 14 participants, mostly resident physicians, with some familiarity with the Paprosky and ADC classifications. The 3D printing method resulted in the highest rate of correct classifications for acetabular defects compared to X-ray and CT imaging. Participants found the 3D model useful for clinical applications and rated it higher than X-ray and CT imaging for classifying acetabular defects.Acetabular defects present a challenge in assessment, preoperative planning, and surgical management due to their complex anatomy. Overall, we were able to show that the use of a 3D model increases the accuracy in the classification of acetabular defects. The use of 3D printing in orthopedics and trauma surgery is showing more and more advantages and has opened up new methods for the education of medical students and young surgeons.
Type 1 Diabetes Mellitus and Thromboembolism in Pregnancy
Authors: Thomas Jacob , Brewerton Charles , Holmgren Calla , Harrison Rachel 
Published: January 2025

Objective The impact of type 1 DM (T1DM) on thromboembolism in pregnancy is uncertain. We hypothesized that T1DM is associated with higher rates of thrombotic events during pregnancy and the postpartum period.
Study Design This is a retrospective cohort study utilizing the National Inpatient Sample database from HCUP/AHRQ for 2017–2019. Pregnant and postpartum patients with a history of T1DM were compared to those without. The primary outcome was a composite diagnosis of any thrombotic disease (pulmonary embolism [PE], deep vein thrombosis [DVT], cerebral vascular thrombosis [CVT], or other thromboses). Secondary outcomes were the diagnosis of each individual type of thromboembolic event. Groups were compared via student's test, chi-squared, and logistic regression analyses, controlling for confounders including age, race, obesity, tobacco use, cHTN, asthma, anemia, and cesarean section.
Results A total of 2,361,711 subjects met the criteria. Patients with T1DM encompassed 0.4% of subjects (n = 9,983). T1DM subjects were more likely to be younger, non-Hispanic white, obese, tobacco users, chronic hypertensive, asthmatic, and have a history of cesarean (all p < 0.001). They were less likely to be in the top income quartile. Thromboembolic events occurred more frequently in those with T1DM (0.45% vs. 0.20%, p < 0.001). DVT was the most common event (0.25%). After controlling for confounders, T1DM remained independently associated with any thromboembolic event in pregnancy (adjusted odds ratio [aOR] = 2.19, 95% confidence interval [CI]: 1.49–3.23), PE (aOR = 3.59, 95% CI: 1.65–7.82), and DVT (aOR = 2.43, 95% CI: 1.43–4.14).
Conclusion T1DM is associated with an increased risk of thromboembolic events in pregnancy.
Key Points
The Impact of Antibiotics on Latency When Given at the Time of Membrane Rupture Before Viability
Authors: Lambert Katherine A. , Cate Jennifer , Honart Anne West , Grace Matthew R. , Dotters-Katz Sarah K. 
Published: January 2025

Objective It is well established that antibiotics administered in preterm prelabor rupture of membranes increase latency to delivery. While data are limited for membrane rupture prior to viability, antibiotics may also increase latency in this population. This study aimed to assess the effect of prophylactic antibiotics on the duration of latency in individuals with previable prelabor rupture of membranes.
Study Design Retrospective cohort of pregnancies with previable prelabor rupture of membranes prior to 230/7 weeks in a single health system (2013–2022). Patients opting for termination or with a contraindication to expectant management were excluded. The primary outcome was latency from previable prelabor rupture of membranes diagnosis to delivery. Secondary outcomes included subanalysis by gestational age as well as maternal and neonatal morbidity and mortality. Bivariate statistics compared patients who did and did not receive antibiotics (ampicillin, gentamicin). Kaplan-Meier/Cox proportional hazards ratios using significant covariates (p < 0.1) in bivariate analysis models examined antibiotic impact on latency.
Results Of 115 patients, 46 (40%) met inclusion criteria, of whom 34 (74%) received latency antibiotics. Median latency did not differ with antibiotic receipt (1 [0.4, 2.6] vs. 0.6 weeks [0.3, 0.9], p = 0.27). When adjusted for gestational age at rupture of membranes, antibiotics were not associated with longer latency (hazard ratio = 1.33 [0.91, 1.93]). Antibiotic receipt was associated with lower rates of previable delivery (23.0, [22.7, 24.0] vs. 21.3 weeks [20.5, 23.1], p = 0.006). Adjusted odds of previable delivery remained lower with receipt of antibiotics (adjusted odds ratio = 0.20, [0.04, 0.90]). Antibiotics were associated with longer latency in patients with rupture of membranes at less than 22 weeks gestation (2.4 [1.3,4.4] vs. 0.6 weeks [0.1,0.9], p = 0.02).
Conclusion Antibiotic administration at the time of previable prelabor rupture of membranes was associated with longer latency prior to 22 weeks gestation. Antibiotic administration increased the odds of delivering after viability. Further study should address optimal antibiotic strategies for this unique population.
Key Points
Distinct muscle growth and strength adaptations after preacher and
incline biceps curls
Authors: Kassiano Witalo , Costa Bruna , Kunevaliki Gabriel , Lisboa Felipe , Stavinski Natã , Prado Aline , Tricoli Ian , Francsuel Jarlisson , Lima Luis , Nunes JoãoPedro , Ribeiro Alex Silva , Cyrino Edilson S. 
Published: January 2025

AbstractWe compared performing preacher and incline biceps curls on changes in elbow
flexor muscle size and strength. This was a between-group repeated measure
randomized trial. Sixty-three young women performed the preacher biceps curl
(n=30) or the incline biceps curl (n=33) for 8 weeks, twice a
week. We measured the muscle thickness of elbow flexors at the proximal, middle,
and distal sites. We assessed the muscle strength using three repetition maximum
tests in the preacher curl and the incline curl. We observed a greater increase
in the proximal elbow flexor thickness in the incline biceps curl compared to
the preacher biceps curl (mean difference=0.08 cm [95% confidence interval:
0.02, 0.13 cm]). We observed a greater increase in the distal elbow flexor
thickness in the preacher biceps curl compared to the incline biceps curl (mean
difference=0.10 cm [95%CI: 0.04, 0.15 cm]). The preacher biceps curl showed a
greater increase in three repetition maximum tests in the preacher curl (mean
difference=1.88 kg [95%CI: 1.14, 2.62 kg]). The incline biceps curl showed a
greater increase in three repetition maximum tests in the incline biceps curl
(mean difference=0.86 kg [95%CI: 0.10, 1.62 kg]). Our findings suggest regional
differences in muscle growth induced by the preacher and incline biceps curls.
Strength gains appear to follow the principle of specificity.
Baylis–Hillman Adducts as a Valuable Source for Synthesis of Functionalized [4,4,4]-Propellone Dilactone Derivatives
Authors: Lenin Dandamudi V. , Malvi Payal , Mistry Dharti , Karunakar Galla V. , Rajput Diksha 
Published: January 2025

AbstractA simple and facile synthesis of functionalized [4,4,4]-propellone dilactone derivatives through dialkylation of cyclic 1,3-diketones with Baylis–Hillman adducts and subsequent dilactonization is described. This methodology is appealing because it is reliable and scalable (the products can be synthesized on a gram scale). The tricyclic products can be exploited for their biological activity.
Keeping up with the Joneses? Perceptions of mobility and opportunity within local knowledge economies across Germany
Authors: Berriochoa Kattalina M. , Busemeyer Marius R. 
Published: January 2025

Abstract
Recent work on the rise of the knowledge economy has identified the importance of economic context in shaping individual perceptions and preferences. Combining novel survey and locally fine-grained data for the case of Germany, we analyze the association between local knowledge economies and individual perceptions of social mobility and economic opportunity. We find that individual perceptions of mobility, access to affordable housing, and employment security are negatively associated with thriving local knowledge economies. This finding is partly at odds with accounts of ‘aspirational voters’ being the beneficiaries of local economic growth. Rather, we interpret our findings as supporting the ‘status anxiety’ hypothesis, which attributes negative mobility perceptions with competition for scarce economic and social resources. In time, these perceptions can become fertile ground for the development of populist attitudes and vote choices.
Left to their own devices: the significance of mental health apps on the construction of therapy and care
Authors: Ruse Jesse N. , Schraube Ernst , Rhodes Paul 
Published: January 2025

Abstract
Mental health (MH) mobile apps offer convenient, low/no-cost automated psychological support. Little is known about what this technology does to the very definition of MH care. Looking through a post-phenomenological lens (Idhe, 1991), we examine how the app's materiality mediates the construction of psychological care. Through interviews with MH app users, analysis revealed that users experienced a detached and abstract kind of care, which ignored their real-life circumstances and particulars, and was not sensitive to the complex, context-dependent nature of their problems. Instead, the apps amplified a mechanistic and individualistic idea of psychological wellbeing. Meanwhile, the apps concealed the importance of interpersonal understanding, healing spaces, and sharing as meaningful parts of care. Some found this to be an impersonal and inappropriate way to deal with emotional problems, while others lamented their own inability to conform to the app’s ideals.
The Use of Technology and Novel Developments in Positive Welfare Assessment for Housed Dairy Cows
Authors: Thompson Jake S. , Russell Alison L. , Randall Laura V. , Hyde Robert M. , Green Martin J. 
Published: January 2025

Abstract
The experience of dairy cows in housed conditions is an important topic both internally and externally for the dairy industry. The term positive welfare is becoming more commonly used but is a complex subject. The environment an animal inhabits will have a direct impact on health, well-being and production. Living space, the baseline metric for space provision, is highly variable across dairy farms. Current positive welfare initiatives include the use of environmental enrichment, novel stimuli and choice. A method to objectively measure welfare is urgently required to aid the evaluation of a cow’s environment. It can be extremely challenging for vets and farmers to monitor behaviours associated with positive affective states continuously and objectively. The main research areas of focus for exploration of how to improve welfare for housed dairy cows are described in detail. These are assessment (split between the ‘-omics’ and computer vision) and infrastructure provision (living space and environmental enrichment in housing). This key research area has the potential to significantly improve cow health, production and welfare through optimisation of their living conditions. The utilisation of novel technological advancements in artificial intelligence alongside similar step changes in gene expression assessment, provides the potential to revolutionise management practices for livestock.

Information
© The Authors 2025
Real-time control of radiofrequency ablation using three-dimensional ultrasound echo decorrelation imaging in normal and diseased ex vivo human liver
Authors: Ghahramani Elmira , Grimm Peter D , Weiss Benjamin E , Schoenleb Nicholas S , Knapp Alexander J , Wang Jiang , Ahmad Syed A , Shah Shimul A , Quillin III Ralph C , Patel Sameer H , Mast T Douglas 
Published: January 2025

Abstract

Objective. Ultrasound echo decorrelation imaging can successfully monitor and control thermal ablation of animal liver and tumor tissue ex vivo and in vivo. However, normal and diseased human liver has substantially different physical properties that affect echo decorrelation. Here, effects of human liver tissue condition on ablation guidance by three-dimensional echo decorrelation imaging are elucidated in experiments testing closed-loop control of radiofrequency ablation (RFA) in normal and diseased human liver tissue ex vivo. Approach. Samples of normal, steatotic, and cirrhotic human liver tissue underwent RFA, targeting a 20 mm-diameter spherical ablation zone. For each tissue condition, RFA was controlled by echo decorrelation in N> 14 trials, automatically ceasing if average cumulative decorrelation within the targeted ablation zone surpassed a predetermined threshold (successfully controlled trials), or otherwise completing a standard ablation cycle of the RFA generator (unsuccessfully controlled). For comparison, N = 14 RFA trials for each tissue condition followed the RFA generator’s standard algorithm without echo decorrelation feedback (uncontrolled). Receiver operating characteristic (ROC) and precision-recall curve analyses compared 3D echo decorrelation maps to segmented ablation zones. To assess effects of closed-loop control and liver condition on treatment reliability, ablation volumes, rates, and Dice coefficients for measured vs. targeted ablation zones were statistically compared among control conditions and liver types. Results. ROC curves showed effective prediction of local ablation by echo decorrelation across all liver types and control conditions (0.876 ⩽AUROC ⩽ 0.953). Successful control was significantly more frequent, ablated volumes were generally larger, and optimal echo decorrelation thresholds were smaller for normal compared to diseased liver. Significance. This study validates three-dimensional echo decorrelation imaging for monitoring and control of RFA in healthy and diseased human liver while elucidating the dependence of RFA and echo decorrelation outcomes on liver condition and resulting implications for clinical applications.
Assessing fetal radiation dose from iodine-125 seeds in pregnant breast cancer patients: an updated model
Authors: Pluim J M E , van de Kamer J B , Heeling E , van der Ploeg I M C , Hulsen D J W 
Published: January 2025

Abstract

Objective. The treatment of breast cancer during pregnancy requires careful consideration of consequences for both maternal and fetal health. In non-pregnant patients, the use of radioactive iodine-125 (125I)-seeds is standard practice for localising non-palpable breast tumors before breast-conserving surgery. However, the use of 125I-seeds in pregnant patients has been avoided due to concerns about fetal radiation exposure. Approach. In this study a mathematical model was developed to estimate the fetal absorbed dose based on several factors: the radioactivity of the 125I-seed, the duration of implantation, and the distance between the 125I-seed and fetus as a function of maternal anatomy, gestational age, and fetal development. Three scenarios, representing a range of maternal and fetal anatomy, were evaluated, including a worst-case scenario from a radiation safety perspective. Main results. The results show that the fetal absorbed dose varies across the three scenarios, with ranges of 0.0–0.4 mGy, 0.0–1.0 mGy, and 0.0–1.6 mGy, depending on when the 125I-seed was implanted and when it was removed. These dose ranges are similar to conventional diagnostic x-ray scans. The maximum calculated absorbed dose (1.6 mGy) is unlikely to be reached in practice and is well below the 100 mGy threshold associated with possible fetal malformations. The associated theoretical cancer risk increase (0.016%) is minimal. Significance. The use of 125I-seeds as localisation method of breast tumors in pregnant patients results in low fetal radiation doses and should not be avoided due to dose concerns.
Electromagnetically induced transparency and second-order sideband Effects in a Laguerre-Gaussian cavity optorotational system with Kerr medium
Authors: Li Jingxuan , Huang Sumei , Chen Aixi 
Published: January 2025

Abstract
In this paper, we investigate the phenomena of electromagnetically induced transparency (EIT) and the generation of second-order sideband in a Laguerre-Gaussian (LG) cavity optorotational sys tem with a Kerr nonlinear medium. Using the perturbation method, we analyze the first- and second order sideband generations in the output field from the system under the actions of a strong control&#xD;field and a weak probe field. Numerical simulations show that the Kerr nonlinearity can lead to the occurrence of the asymmetric line shape in the transmission of the probe field and the efficiency of second-order sideband generation, and the Kerr nonlinearity can enhance the efficiency of the second order sideband generation. Comparing with traditional scheme for generating the second-order sideband, our spectral shape of the second-order sideband is amplified and becomes asymmetric, which has potential applications in precision measurement, high-sensitivity devices, and frequency conversion.
The impact of green technology innovation, pro-environmental behavior and eco-design on green new product success: examine the moderating role of green corporate image
Authors: Mahmood Shahid , Iqbal Asifa , El-kenawy El-Sayed M , Eid Marwa M , Alhussan Amel Ali , Sami Khafaga Doaa 
Published: January 2025

Abstract
Environmental consciousness has grown, and businesses have been increasingly compelled to adhere to international treaties and regulations. The present study posits that eco-design, green technology and pro-environmental behavior impact the success of new green products by utilizing green process innovation and green product innovation as mediators, with green corporate image serving as a moderator. Furthermore, this study underscores the important of building a positive green corporate image to enhance the effectiveness of sustainable initiatives in the textile sector. Data for the present study were collected from 756 individuals in top, middle, and low-level management positions in various textile sectors operating in Pakistan, using a standardized questionnaire and appropriate sampling strategy for empirical investigation. Data were analyzed using Smart PLS. The results of this study demonstrate that eco-design, green technology and environmentally conscious behavior positively influence a company’s performance with new products. Green process innovation also mediated the relationship between eco-design, green technology, and pro-environmental behavior and a company’s success with new products. Additionally, the data reveal that a green corporate image moderates the link between green product innovation, green process innovation, and an organization’s performance with new products. The research also indicates that green product innovation does not attenuate the link between a company’s eco-design process and the success of new green products. The current study has significantly implications for management, theory, and practice, as it contributes to the existing literature with empirical research on green technology innovation, pro-environmental behavior, and organizational success in developing new products.
Multi-source semi-supervised condition constrained domain adaptation for process fault classification
Authors: Guo Xiaoping , Lv Ronghui , Li Yuan 
Published: January 2025

Abstract
To address inconsistent feature distributions caused by multiple working conditions in industrial processes and the lack of fault type labels, this paper proposes a Multi-source semi-supervised conditional constraint domain adaptation (MSSCCDA) fault classification method. Data from multiple working conditions are divided into multiple source domains and a target domain. A Convolutional neural network (CNN) extracts features from the multi-source domain data, and a triplet loss method reduces the feature distance between the same categories in different source domains. A semi-supervised conditional constraint domain adaptation method is proposed, which combines adversarial domain adaptation with a limited amount of labeled target domain data to pre-train the feature extractor. During adversarial training, center loss regularization is introduced as a conditional constraint for class feature alignment. The process of optimizing the feature extractor involves jointly leveraging adversarial loss to reduce inter-domain discrepancies between the source and target domains and minimizing class differences within target domain. Experiments conducted on the Tennessee-Eisman (TE) process and industrial three-phase flow (TFF) show that the average accuracy improves to 93% and 93%, respectively. The effectiveness of the proposed method is further validated through a comparison with two traditional domain adaptation approaches and five multi-source domain adaptation techniques.
Global-in-time energy stability analysis for a second-order accurate exponential time differencing Runge–Kutta scheme for the phase field crystal equation
Authors: Li Xiao , Qiao Zhonghua , Wang Cheng , Zheng Nan 
Published: January 2025

The global-in-time energy estimate is derived for the second-order accurate exponential time differencing Runge–Kutta (ETDRK2) numerical scheme to the phase field crystal (PFC) equation, a sixth-order parabolic equation modeling crystal evolution. To recover the value of stabilization constant, some local-in-time convergence analysis has been reported, and the energy stability becomes available over a fixed final time. In this work, we develop a global-in-time energy estimate for the ETDRK2 numerical scheme to the PFC equation by showing the energy dissipation property for any final time. An a priori assumption at the previous time step, combined with a single-step

H
2

H^2

estimate of the numerical solution, is the key point in the analysis. Such an

H
2

H^2

estimate recovers the maximum norm bound of the numerical solution at the next time step, and then the value of the stabilization parameter can be theoretically justified. This justification ensures the energy dissipation at the next time step, so that the mathematical induction can be effectively applied, by then the global-in-time energy estimate is accomplished. This paper represents the first effort to theoretically establish a global-in-time energy stability analysis for a second-order stabilized numerical scheme in terms of the original free energy functional. The presented methodology is expected to be available for many other Runge–Kutta numerical schemes to the gradient flow equations.