bluuebunny/crossref_metadata_2025_split huggingface dataset:
Border militarization and domestic institutions
Authors: Goodman Nathan P. 
Published: May 2024

AbstractThe objective of this paper is to examine the impact of border policies and the increased militarization of border control practices on the expansion of police powers, the erosion of constitutional constraints and on other institutional spillovers. In recent decades, the Border Patrol has been integrated with the broader national security state as part of the war on drugs and the war on terror. This has entailed the acquisition of military hardware, the incorporation of organizational structures and training originally developed in the military, and increased interaction with the military, intelligence agencies, and defense contractors. The Border Patrol has frequently lent their equipment, personnel, and powers to domestic policing that has only a tangential relationship with border security. Border militarization therefore contributes to expansions in the scope of police powers and the erosion of constitutional constraints. This process undermines functional polycentricity, and thereby alters the incentives and knowledge of political decision-makers.
Predictive value of TCCD and regional cerebral oxygen saturation for detecting early postoperative brain injury
Authors: Liu Yu , Zhao Lin , Wang Xinlei , Wu Zhouquan 
Published: May 2024

Abstract
Objective
This study aims to analyze the risk factors for early postoperative brain injury in patients undergoing cardiovascular surgery and explore the predictive value of transcranial color Doppler (TCCD) and regional cerebral oxygen saturation (rSO2) for detecting early postoperative brain injury in cardiovascular surgery patients.

Methods
A total of 55 patients undergoing cardiovascular surgery with cardiopulmonary bypass in Changzhou No.2 The People’s Hospital of Nanjing Medical University were included in this study. Neuron-specific enolase (NSE) concentration was measured 24 h after operation. Patients were divided into brain injury (NSE ≥ 16.3 ng/mL) and normal (0 < NSE < 16.3 ng/mL) groups according to the measured NSE concentration. The clinical outcomes between the two groups were compared, including decreased rSO2 and cerebral blood flow (as measured by TCCD) levels. The risk factors of early postoperative brain injury were analyzed by multivariate logistic regression analysis, and the significant variables were analyzed by receiver operating characteristic (ROC) analysis.

Results
A total of 50 patients were included in this study, with 20 patients in the brain injury group and 30 patients in the normal group. Cardiopulmonary bypass time (min) (107 ± 29 vs. 90 ± 28, P = 0.047) and aortic occlusion time (min) (111 (IQR 81–127) vs. 87 (IQR 72–116), P = 0.010) were significantly longer in the brain injury group than in the normal group. Patients in the brain injury group had greater decreased rSO2 (%) (27.0 ± 7.3 vs. 17.5 ± 6.1, P < 0.001) and cerebral blood flow (%) (44.9 (IQR 37.8–69.2) vs. 29.1 (IQR 12.0–48.2), P = 0.004) levels. Multivariate logistic regression analysis suggested that decreased rSO2 and cerebral blood flow levels, aortic occlusion time, and history of atrial fibrillation were independent risk factors for early postoperative brain injury (P < 0.05). ROC analysis reported that the best cutoff values for predicting early postoperative brain injury were 21.4% and 37.4% for decreased rSO2 and cerebral blood flow levels, respectively (P < 0.05).

Conclusion
The decreased rSO2 and cerebral blood flow levels, aorta occlusion time, and history of atrial fibrillation were independent risk factors for early postoperative brain injury. TCCD and rSO2 could effectively monitor brain metabolism and cerebral blood flow and predict early postoperative brain injury.
Modeling of Deuteron-Induced Reactions on Molybdenum at Low Energies
Authors: Avrigeanu Marilena , Šimečková Eva , Mrázek Jaromir , Costache Cristian , Avrigeanu Vlad 
Published: May 2024

AbstractThe activities of the EUROfusion consortium on the development of high quality nuclear data for fusion applications include evaluations of deuteron induced reactions and related data libraries for needs of the DEMO fusion power plant and IFMIF-DONES neutron-source nuclear analyses. Molybdenum is one of the major constituents of the reference stainless steels used in critical components of these projects. While the TENDL deuteron data library was the current reference used by EUROfusion, need of its further improvement has already been pointed out. The weak binding energy of the deuteron is responsible for the high complexity of its interaction with nuclei, involving also a variety of reactions initiated by the nucleons following the deuteron breakup. Their analysis completed that of the deuteron interactions with Mo and its stable isotopes, from elastic scattering to pre-equilibrium and compound–nucleus reactions, up to 50 MeV. A particular attention has been paid to the breakup, stripping, and pick-up direct interactions which amount to around half of the deuteron total–reaction cross section. The due account of most experimental data has validated the present approach, highlighted some prevalent features, and emphasized weak points and consequently the need for modeling/evaluation upgrade.
Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context
Authors: Dobbe Roel , Wolters Anouk 
Published: May 2024

AbstractThis paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant vulnerabilities emerging in the context of use. As ML is increasingly adopted in socially sensitive and safety-critical domains, many ML applications end up not delivering on their promises, and contributing to new forms of algorithmic harm. There is still a lack of empirical insights as well as conceptual tools and frameworks to properly understand and design for the impact of ML models in their sociotechnical context. In this paper, we follow a design science research approach to work towards such insights and tools. We center our study in the financial industry, where we first empirically map recently emerging MLOps practices to govern ML applications, and corroborate our insights with recent literature. We then perform an integrative literature research to identify a long list of vulnerabilities that emerge in the sociotechnical context of ML applications, and we theorize these along eight dimensions. We then perform semi-structured interviews in two real-world use cases and across a broad set of relevant actors and organizations, to validate the conceptual dimensions and identify challenges to address sociotechnical vulnerabilities in the design and governance of ML-based systems. The paper proposes a set of guidelines to proactively and integrally address both the dimensions of sociotechnical vulnerability, as well as the challenges identified in the empirical use case research, in the organization of MLOps practices.
Dictionary-based sentiment analysis of monetary policy communication: on the applicability of lexicons
Authors: Rutkowska Aleksandra , Szyszko Magdalena 
Published: May 2024

AbstractIn this study, we discuss central bank communication sentiments assessed using different dictionaries. Policy communication by monetary authorities is considered an essential additional policy tool. Various text-mining techniques could evaluate its sentiment. Dictionary methods are a prominent example here because they offer simplicity and are a starting point for applying more elaborate methods. We decided to test four lexicons: generic, economic and financial and two domain-specific lexicons to conclude on their applicability to assess the sentiments of monetary releases and provide recommendations for their further application. This study surveys four lexicons qualitatively and conducts a few exercises: lexicon content comparison, performance tests for highly positive and negative messages, and statistical tests of dictionary alignment and correlation. The sample covers small open economies implementing inflation targeting. The study concludes that all investigated dictionaries could be used for detecting central bank intentions: they do not return contradictory results. The choice among them for a particular study depends on the study’s setup and goals—as presented in our recommendations
“Humanity is another corporeity”: The evolution of human bodily appearance and sociality
Authors: Kee Hayden 
Published: May 2024

AbstractSome accounts of human distinctiveness focus on anatomical features, such as bipedalism and brain size. Others focus on cognitive abilities, such as tool use and manufacture, language, and social cognition. Embodied approaches to cognition highlight the internal relations between these two groups of characteristics, arguing that cognition is rooted in and shaped by embodiment. This paper complements existing embodied approaches by focusing on an underappreciated aspect of embodiment: the appearance of the human body as condition of human sociality and cognition. I approach this issue through Merleau-Ponty’s understanding of the animate body as an intertwining of perceiving and perceivable aspects. The eye is both an animal’s embodied, perceptual openness onto the world, and the means by which that experiential openness can be perceived by others. The morphology and appearance of its embodiment condition how an animal comes to understand others and itself as animate subjects. I interpret the perceivable appearance of the human eye and skin in comparison with those of other animals. An underappreciated dimension of human distinctiveness, I argue, is the way the human sense organs render human perceiving comparatively more perceivable to conspecifics.
Prostate Specific Membrane Antigen Expression in a Syngeneic Breast Cancer Mouse Model
Authors: Shirke Aditi A. , Wang Jing , Ramamurthy Gopolakrishnan , Mahanty Arpan , Walker Ethan , Zhang Lifang , Panigrahi Abhiram , Wang Xinning , Basilion James P. 
Published: May 2024

Abstract
Purpose
Prostate specific membrane antigen (PSMA) has been studied in human breast cancer (BCa) biopsies, however, lack of data on PSMA expression in mouse models impedes development of PSMA-targeted therapies, particularly in improving breast conserving surgery (BCS) margins. This study aimed to validate and characterize the expression of PSMA in murine BCa models, demonstrating that PSMA can be utilized to improve therapies and imaging techniques.

Methods
Murine triple negative breast cancer 4T1 cells, and human cell lines, MDA-MB-231, MDA-MB-468, implanted into the mammary fat pads of BALB/c mice, were imaged by our PSMA targeted theranostic agent, PSMA-1-Pc413, and tumor to background ratios (TBR) were calculated to validate selective uptake. Immunohistochemistry was used to correlate PSMA expression in relation to CD31, an endothelial cell biomarker highlighting neovasculature. PSMA expression was also quantified by Reverse Transcriptase Polymerase Chain Reaction (RT-PCR).

Results
Accumulation of PSMA-1-Pc413 was observed in 4T1 primary tumors and associated metastases. Average TBR of 4T1 tumors were calculated to be greater than 1.5—ratio at which tumor tissues can be distinguished from normal structures—at peak accumulation with the signal intensity in 4T1 tumors comparable to that in high PSMA expressing PC3-pip tumors. Extraction of 4T1 tumors and lung metastases followed by RT-PCR analysis and PSMA-CD31 co-staining shows that PSMA is consistently localized on tumor neovasculature with no expression in tumor cells and surrounding normal tissues.

Conclusion
The selective uptake of PSMA-1-Pc413 in these cancer tissues as well as the characterization and validation of PSMA expression on neovasculature in this syngeneic 4T1 model emphasizes their potential for advancements in targeted therapies and imaging techniques for BCa. PSMA holds great promise as an oncogenic target for BCa and its associated metastases.
Whole Institution Approach: measurable and highly effective in empowering learners and educators for sustainability
Authors: Holst Jorrit , Grund Julius , Brock Antje 
Published: May 2024

AbstractWhole Institution Approaches (WIAs) to sustainability in education emphasize the strong link between the socio-physical environment and the learning processes and outcomes. However, there has been a lack of instruments for quantifying the implementation of WIAs based on the experience of learners and educators. In this article, we present the systematic development, pretesting, validation and first application of a novel WIA-Scale (learners: 13 items, educators: 15 items). As part of a large-scale assessment in Germany (school education, vocational education and higher education; n = 2,985), we apply the WIA-Scale and assess how WIAs are related to the effectiveness of sustainability learning. Based on extensive validation, the scale quality was evaluated as high. The application showed that young people who experience more sustainability in line with the WIA feel strongly more motivated and empowered by their educational institution to contribute to sustainability. Also, regression modeling revealed that WIA implementation is the strongest of various predictors of how sustainable learners act beyond the educational institution. Further, educators who experience more sustainability in line with the WIA feel considerably more motivated and report more sustainable behavior. They also view Education for Sustainable Development (ESD) as more relevant and participate more frequently in training on ESD. For future use, we provide the WIA-Scale in its original version, a 7/8-item variant and a one-item proxy. The scale may be used as a process indicator for high-quality sustainability education and as part of organizational development. Overall, the study shows that experienced WIAs are measurable and highly effective for quality sustainability learning.
Ultrasonic mode conversion for in-line foam structure measurement in highly aerated batters using machine learning
Authors: Metzenmacher Michael , Pfaller Eva , Geier Dominik , Becker Thomas 
Published: May 2024

AbstractAn ultrasonic-based method was developed to enable in-line measurements of foam structure parameters for highly aerated batters by mode conversion. Biscuit batters were foamed to different degrees (density: 364–922 g/L) by varying the mixing head speed and pressure. Density and foam structure changes were detected by efficient offline analytics (nref measurement = 96). Ultrasonic signal data were recorded using two ultrasonic sensors attached to an industry-standard tube. Mode conversion effects in the ultrasonic signals were obtained to predict the rheological parameters of the batters. The frequency range in which surface waves are expected was particularly suitable for detecting rheological changes in highly aerated batters. An ultrasonic-based, online-capable method for process monitoring was implemented and established regarding feature selection in combination with machine learning and 5-fold cross-validation. The developed ultrasonic sensor system shows high accuracy for online density measurement (R2 = 0.98) and offers decent accuracy for measurements of foam structure parameters (Bubble count: R2 = 0.95, Relative span: R2 = 0.93, Sauter diameter: R2 = 0.83). The main benefit of this novel technique is that integrating ultrasonic signal features based on mode conversion leads to a robust foam structure analysis, which has the advantage of being retrofitable into existing processes.
Boric Acid in Milk Replacer as a Health Enhancer and Growth Promoter for Lambs in the Suckling Period
Authors: Uysal Soner , Yoruk Mehmet Akif 
Published: May 2024

Abstract
This study was performed to investigate the effects of boric acid supplementation in milk replacer of lambs in the suckling period on performance, biochemical parameters, the antioxidant system, fecal culture, and expression of some genes. During the suckling period, 60 lambs (4 days old) were randomly given four levels of boric acid (0, 30, 60, and 90 mg/kg body weight) via milk replacer for 57 days. The lambs supplemented with boric acid had a higher weight gain and better feed conversion ratio. Boric acid supplementation quadratically increased serum triglyceride, total protein, alkaline phosphatase, serum antioxidant activity and oxidative stress biomarkers, and fecal flora and decreased IL1β, IL10, iNOS, NF-kB, and TNF-α gene expressions. The effect of boric acid on rumen papilla development could not be determined since the animals were not slaughtered. In conclusion, the use of boric acid to lambs in the suckling period improved the average weekly body weight gain and feed conversion efficiency, positively affected some biochemical parameters, antioxidant system, and intestinal flora, and also affected gene expressions related to the immune system. Boric acid supplementation had a beneficial effect on the health and growth of suckling lambs.
Remarks on asymptotic isometric embeddings of conic transforms for torus actions
Authors: Galasso Andrea 
Published: May 2024

AbstractConsider a Hodge manifold and assume that a torus acts on it in a Hamiltonian and holomorphic manner and that this action linearizes on a given quantizing line bundle. Inside the dual of the line bundle one can define the circle bundle, which is a strictly pseudoconvex CR manifold. Then, there is an associated unitary representation on the Hardy space of the circle bundle. Under suitable assumptions on the moment map, we consider certain loci in unit circle bundle, naturally associated to a ray through an irreducible weight. Their quotients are called conic transforms. We introduce maps which are asymptotic embeddings of conic transforms making use of the corresponding equivariant Szegő projector.
Resilience’s impact on quality of life and post-traumatic growth in breast cancer patients during treatment
Authors: Duran Songül , Varol Umut , Tekir Özlem , Soytürk Ahmet Hakan 
Published: May 2024

Abstract
Background
This article aims to examine how psychological resilience influences the interplay between quality of life and post-traumatic growth among breast cancer patients receiving follow-up care and treatment in Türkiye.

Methods
The study involved 119 female individuals diagnosed with breast cancer who visited the Oncology outpatient clinic at a state hospital in Türkiye from January to September 2023. Data were gathered through the administration of a survey form and the utilization of several assessment tools, including the Adult Life Quality Scale in Cancer Survivors (QLACS), the Brief Resilience Scale (BRS), and the Post-traumatic Growth Inventory (PTGI). Data analysis was carried out using SPSS 25 software.

Results
The participants demonstrated an inverse correlation between Post-Traumatic Growth (PTG) and two QLACS sub-dimensions, namely recurrence and family concern. Conversely, a positive association was identified between PTG and the advantages of dealing with cancer. Furthermore, a statistically significant positive association was established between BRS and all QLACS sub-dimensions, except for family concern and appearance. However, it was determined that psychological resilience did not act as a moderator in the relationship between PTG and QLACS.

Conclusion
It is important to enhance psychological resilience in women who have survived cancer at all stages of the cancer journey, including the years after treatment, to have a positive impact on post-traumatic growth and quality of life.
Semi-Riemannian manifolds with linear differential conditions on the curvature
Authors: Senovilla José M. M. 
Published: May 2024

AbstractSemi-Riemannian manifolds that satisfy (homogeneous) linear differential conditions of arbitrary order r on the curvature are analyzed. They include, in particular, the spaces with (rth-order) recurrent curvature, (rth-order) symmetric spaces, as well as entire new families of semi-Riemannian manifolds rarely, or never, considered before in the literature—such as the spaces whose derivative of the Riemann tensor field is recurrent, among many others. Definite proof that all types of such spaces do exist is provided by exhibiting explicit examples of all possibilities in all signatures, except in the Riemannian case with a positive definite metric. Several techniques of independent interest are collected and presented. Of special relevance is the case of Lorentzian manifolds, due to its connection to the physics of the gravitational field. This connection is discussed with particular emphasis on Gauss–Bonnet gravity and in relation with Penrose limits. Many new lines of research open up and a handful of conjectures, based on the results found hitherto, is put forward.
Regulatable Orthotropic 3D Hybrid Continuous Carbon Networks for Efficient Bi-Directional Thermal Conduction
Authors: Yu Huitao , Peng Lianqiang , Chen Can , Qin Mengmeng , Feng Wei 
Published: May 2024

AbstractVertically oriented carbon structures constructed from low-dimensional carbon materials are ideal frameworks for high-performance thermal interface materials (TIMs). However, improving the interfacial heat-transfer efficiency of vertically oriented carbon structures is a challenging task. Herein, an orthotropic three-dimensional (3D) hybrid carbon network (VSCG) is fabricated by depositing vertically aligned carbon nanotubes (VACNTs) on the surface of a horizontally oriented graphene film (HOGF). The interfacial interaction between the VACNTs and HOGF is then optimized through an annealing strategy. After regulating the orientation structure of the VACNTs and filling the VSCG with polydimethylsiloxane (PDMS), VSCG/PDMS composites with excellent 3D thermal conductive properties are obtained. The highest in-plane and through-plane thermal conductivities of the composites are 113.61 and 24.37 W m−1 K−1, respectively. The high contact area of HOGF and good compressibility of VACNTs imbue the VSCG/PDMS composite with low thermal resistance. In addition, the interfacial heat-transfer efficiency of VSCG/PDMS composite in the TIM performance was improved by 71.3% compared to that of a state-of-the-art thermal pad. This new structural design can potentially realize high-performance TIMs that meet the need for high thermal conductivity and low contact thermal resistance in interfacial heat-transfer processes.
State of conservation of an industrial brick masonry chimney: a case-study in Montijo, Portugal
Authors: Diaz Gonçalves Teresa , Santos Teresa O. 
Published: May 2024

AbstractIndustrial masonry chimneys became widespread in the mid-19th century and were eventually integrated into urban landscapes, gaining significance as symbolic historical remnants of local industries. This poses new challenges, particularly concerning the safety of populations and goods, as well as the preservation of the now-historical structures. In this article, we assess the conservation status of the 45-meter-high chimney of the former cork processing factory Mundet, located in Montijo, Portugal. The study involved a structural survey conducted using height access equipment, along with an investigation to diagnose moisture and salt decay at the base of the chimney. The later included measuring current and hygroscopic moisture distributions, as well as XRD characterization of brick and mortar samples. At the chimney’s base, salt crystallization causes efflorescence and erosion leading to masonry disintegration. This is associated with rising damp and the presence of sodium sulfate in the brick and sodium chloride in the mortar. In the shaft, mortar erosion becomes more pronounced as we ascend. At the crown, extensive mortar erosion and limited compression have caused the NE-facing half to disappear, while the rest is at risk of imminent collapse. Damage mitigation measures to address this situation are proposed.