bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diet supporting therapy for inflammatory bowel diseases
Authors: Kikut Justyna , Konecka Nina , Ziętek Maciej , Kulpa Danuta , Szczuko Małgorzata 
Published: March 2021

Abstract
Purpose
Non-specific inflammatory bowel diseases (IBD) include Crohn's disease and ulcerative colitis. More and more often attention is paid to the possibility of dietary support for inflammatory bowel diseases.

Methods
The following review article considers the role of dietary components in the treatment of IBD as: pteridines, probiotics, bovine immunoglobulin, vitamin D, omega-3, flavonoids, polyphenols, curcumin and phosphatidylcholine. The article also discusses plant raw materials of arjuna, soy protein and nettles, trying to summarize their effect on quenching the inflammatory process within the intestines. This review focuses on the possibilities of dietary components and supplementation use to improve the pharmacotherapy response as well as the general clinical patients’ condition.

Results
The mechanism of action of supportive therapy is based on reduction in oxidative stress, maintaining the adequate balance between Th1 and Th2 lymphocytes by affecting cytokines, increasing riboflavin supply for macrophages, increasing expression of vitamin D receptor, regulation by decreasing the expression of NF-κB in liver cells and ability to inhibit the COX2 entrance and inactivate prostaglandins that are involved in the inflammatory process and 12-lipoxygenase pathway inhibition.

Conclusion
Considering clinical researches, it seems that the use of the above-mentioned ingredients in the diet of patients suffering IBD may positively influence the treatment process and maintenance of remission.
Transferring clinically established immune inflammation markers into exercise physiology: focus on neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and systemic immune-inflammation index
Authors: Walzik David , Joisten Niklas , Zacher Jonas , Zimmer Philipp 
Published: March 2021

AbstractOver the last decades the cellular immune inflammation markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII = NLR × platelets) have emerged in clinical context as markers of disease-related inflammation and are now widely appreciated due to their integrative character. Transferring these clinically established inflammation markers into exercise physiology seems highly beneficial, especially due to the low temporal, financial and infrastructural resources needed for assessment and calculation. Therefore, the aim of this review is to summarize evidence on the value of the integrative inflammation markers NLR, PLR and SII for depiction of exercise-induced inflammation and highlight potential applications in exercise settings. Despite sparse evidence, multiple investigations revealed responsiveness of the markers to acute and chronic exercise, thereby opening promising avenues in the field of exercise physiology. In performance settings, they might help to infer information for exercise programming by reflecting exercise strain and recovery status or periods of overtraining and increased infection risk. In health settings, application involves the depiction of anti-inflammatory effects of chronic exercise in patients exhibiting chronic inflammation. Further research should, therefore, focus on establishing reference values for these integrative markers in athletes at rest, assess the kinetics and reliability in response to different exercise modalities and implement the markers into clinical exercise trials to depict anti-inflammatory effects of chronic exercise in different patient collectives.
Transcatheter treatment by valve-in-valve and valve-in-ring implantation for prosthetic tricuspid valve dysfunction
Authors: Dannenberg Varius , Donà Carolina , Koschutnik Matthias , Winter Max-Paul , Nitsche Christian , Kammerlander Andreas A. , Bartko Philipp E. , Hengstenberg Christian , Mascherbauer Julia , Goliasch Georg 
Published: March 2021

SummaryValve degeneration after surgical tricuspid valve replacement or repair is frequent and may require repeat replacement/repair. For high-risk patients, transcatheter valve-in-valve and valve-in-ring procedures have emerged as valuable treatment alternatives. Preprocedural transthoracic echocardiography is the method of choice to detect malfunction of the prosthesis including degenerative stenosis and/or regurgitation requiring reintervention. Subsequently, computed tomography is helpful for detailed anatomical analysis and periprocedural planning. Device selection and sizing depend on the size and structural details of the implanted ring or prosthesis. The procedure is mainly guided by fluoroscopy; however, transesophageal echocardiography provides complementary guidance during device implantation. Preferred access route is the right femoral vein but in cases of more horizontal implants a jugular approach might be feasible. Suitable transcatheter valves are the Edwards Sapien 3 and the Medtronic Melody valves. Differences in surgical prostheses or annuloplasty implants are important for device selection, height consideration and additional ballooning prior to or after implantation. Transesophageal echocardiography postimplantation is convenient for the assessment of transvalvular gradients or paravalvular leaks.
Micro-architectural analysis of in-memory OLTP: Revisited
Authors: Sirin Utku , Tözün Pınar , Porobic Danica , Yasin Ahmad , Ailamaki Anastasia 
Published: March 2021

AbstractMicro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP systems mostly under-utilize the available micro-architectural resources. In-memory OLTP systems, on the other hand, process all the data in main-memory and, therefore, can omit the buffer pool. Furthermore, they usually adopt more lightweight concurrency control mechanisms, cache-conscious data structures, and cleaner codebases since they are usually designed from scratch. Hence, we expect significant differences in micro-architectural behavior when running OLTP on platforms optimized for in-memory processing as opposed to disk-based database systems. In particular, we expect that in-memory systems exploit micro-architectural features such as instruction and data caches significantly better than disk-based systems. This paper sheds light on the micro-architectural behavior of in-memory database systems by analyzing and contrasting it to the behavior of disk-based systems when running OLTP workloads. The results show that, despite all the design changes, in-memory OLTP exhibits very similar micro-architectural behavior to disk-based OLTP: more than half of the execution time goes to memory stalls where instruction cache misses or the long-latency data misses from the last-level cache (LLC) are the dominant factors in the overall execution time. Even though ground-up designed in-memory systems can eliminate the instruction cache misses, the reduction in instruction stalls amplifies the impact of LLC data misses. As a result, only 30% of the CPU cycles are used to retire instructions, and 70% of the CPU cycles are wasted to stalls for both traditional disk-based and new generation in-memory OLTP.
Fourier extension estimates for symmetric functions and applications to nonlinear Helmholtz equations
Authors: Weth Tobias , Yeşil Tolga 
Published: March 2021

AbstractWe establish weighted$$L^p$$Lp-Fourier extension estimates for$$O(N-k) \times O(k)$$O(N-k)×O(k)-invariant functions defined on the unit sphere$${\mathbb {S}}^{N-1}$$SN-1, allowing for exponentspbelow the Stein–Tomas critical exponent$$\frac{2(N+1)}{N-1}$$2(N+1)N-1. Moreover, in the more general setting of an arbitrary closed subgroup$$G \subset O(N)$$G⊂O(N)andG-invariant functions, we study the implications of weighted Fourier extension estimates with regard to boundedness and nonvanishing properties of the corresponding weighted Helmholtz resolvent operator. Finally, we use these properties to derive new existence results forG-invariant solutions to the nonlinear Helmholtz equation$$\begin{aligned} -\Delta u - u = Q(x)|u|^{p-2}u, \quad u \in W^{2,p}({\mathbb {R}}^{N}), \end{aligned}$$-Δu-u=Q(x)|u|p-2u,u∈W2,p(RN),whereQis a nonnegative bounded andG-invariant weight function.
Overestimation of grey matter atrophy in glioblastoma patients following radio(chemo)therapy
Authors: Gommlich A. , Raschke F. , Petr J. , Seidlitz A. , Jentsch C. , Platzek I. , van den Hoff J. , Kotzerke J. , Beuthien-Baumann B. , Baumann M. , Krause M. , Troost E. G. C. 
Published: March 2021

Abstract
Objective
Brain atrophy has the potential to become a biomarker for severity of radiation-induced side-effects. Particularly brain tumour patients can show great MRI signal changes over time caused by e.g. oedema, tumour progress or necrosis. The goal of this study was to investigate if such changes affect the segmentation accuracy of normal appearing brain and thus influence longitudinal volumetric measurements.

Materials and methods
T1-weighted MR images of 52 glioblastoma patients with unilateral tumours acquired before and three months after the end of radio(chemo)therapy were analysed. GM and WM volumes in the contralateral hemisphere were compared between segmenting the whole brain (full) and the contralateral hemisphere only (cl) with SPM and FSL. Relative GM and WM volumes were compared using paired t tests and correlated with the corresponding mean dose in GM and WM, respectively.

Results
Mean GM atrophy was significantly higher for full segmentation compared to cl segmentation when using SPM (mean ± std: ΔVGM,full = − 3.1% ± 3.7%, ΔVGM,cl = − 1.6% ± 2.7%; p < 0.001, d = 0.62). GM atrophy was significantly correlated with the mean GM dose with the SPM cl segmentation (r = − 0.4, p = 0.004), FSL full segmentation (r = − 0.4, p = 0.004) and FSL cl segmentation (r = -0.35, p = 0.012) but not with the SPM full segmentation (r = − 0.23, p = 0.1).

Conclusions
For accurate normal tissue volume measurements in brain tumour patients using SPM, abnormal tissue needs to be masked prior to segmentation, however, this is not necessary when using FSL.
Accurate discretization of poroelasticity without Darcy stability
Authors: Mardal Kent-Andre , Rognes Marie E. , Thompson Travis B. 
Published: March 2021

AbstractIn this manuscript we focus on the question: what is the correct notion of Stokes–Biot stability? Stokes–Biot stable discretizations have been introduced, independently by several authors, as a means of discretizing Biot’s equations of poroelasticity; such schemes retain their stability and convergence properties, with respect to appropriately defined norms, in the context of a vanishing storage coefficient and a vanishing hydraulic conductivity. The basic premise of a Stokes–Biot stable discretization is: one part Stokes stability and one part mixed Darcy stability. In this manuscript we remark on the observation that the latter condition can be generalized to a wider class of discrete spaces. In particular: a parameter-uniform inf-sup condition for a mixed Darcy sub-problem is not strictly necessary to retain the practical advantages currently enjoyed by the class of Stokes–Biot stable Euler–Galerkin discretization schemes.
Golub–Kahan vs. Monte Carlo: a comparison of bidiagonlization and a randomized SVD method for the solution of linear discrete ill-posed problems
Authors: Bai Xianglan , Buccini Alessandro , Reichel Lothar 
Published: March 2021

AbstractRandomized methods can be competitive for the solution of problems with a large matrix of low rank. They also have been applied successfully to the solution of large-scale linear discrete ill-posed problems by Tikhonov regularization (Xiang and Zou in Inverse Probl 29:085008, 2013). This entails the computation of an approximation of a partial singular value decomposition of a large matrixAthat is of numerical low rank. The present paper compares a randomized method to a Krylov subspace method based on Golub–Kahan bidiagonalization with respect to accuracy and computing time and discusses characteristics of linear discrete ill-posed problems that make them well suited for solution by a randomized method.
Magnetic nanocarriers as a therapeutic drug delivery strategy for promoting pain-related motor functions in a rat model of cartilage transplantation
Authors: Zhang Xingyu , Yang Jianjun , Cheng Baochang , Zhao Shenli , Li Yao , Kang Hui , Chen Shiyi 
Published: March 2021

AbstractCartilage is an avascular tissue with low cellularity and insufficient self-repair response. In clinical practice, a large articular cartilage defect is usually fixed by cartilage transplantation. Importantly, the fast repair process has been demanded postoperatively in the area between the host cartilage and the transplanted cartilage. In the past few years, magnetic nanoparticles have drawn great attention due to their biocompatible, biodegradable, and nontoxic properties. In addition, the nanoparticles can easily pass through the cell plasma membrane and increase the cellular uptake efficiency. Here, a therapeutic drug delivery strategy was proposed for cartilage repair. The prepared kartogenin (KGN)-conjugated magnetic nanocarriers (KGN@NCs) promoted the viability of chondrocytes in vitro. In a rat model of cartilage transplantation, intra-articularly delivered KGN@NCs generated cartilage with a flat surface and a high level of aggrecan in vivo. Notably, KGN@NCs were also capable of improving the pain-related motor functions. They promoted the motor functional parameters including the print area and intensity to restore to a normal level compared with the single KGN. Therefore, these therapeutic drug nanocarriers provided the potential for cartilage repair.
Cultivating quality awareness in corona times
Authors: Timmerman Guus , Baart Andries , den Bakker Jan 
Published: March 2021

AbstractThe Covid-19 pandemic is a tragedy for those who have been hard hit worldwide. At the same time, it is also a test of concepts and practices of what good care is and requires, and how quality of care can be accounted for. In this paper, we present our Care-Ethical Model of Quality Enquiry (CEMQUE) and apply it to the case of residential care for older people in the Netherlands during the Covid-19 pandemic. Instead of thinking about care in healthcare and social welfare as a set of separate care acts, we think about care as a complex practice of relational caring, crossed by other practices. Instead of thinking about professional caregivers as functionaries obeying external rules, we think about them as practically wise professionals. Instead of thinking about developing external quality criteria and systems, we think about cultivating (self-)reflective quality awareness. Instead of abstracting from societal forces that make care possible but also limit it, we acknowledge them and find ways to deal with them. Based on these critical insights, the CEMQUE model can be helpful to describe, interrogate, evaluate, and improve existing care practices. It has four entries: (i) the care receiver considered from their humanness, (ii) the caregiver considered from their solicitude, (iii) the care facility considered from its habitability and (iv) the societal, institutional and scholarly context considered from the perspective of the good life, justice and decency. The crux is enabling all these different entries with all their different aspects to be taken into account. In Corona times this turns out to be more crucial than ever.
Interpretations of Spinoza in early Russian Marxism
Authors: Steila Daniela 
Published: March 2021

AbstractThe roots of the controversial readings of Spinoza during Soviet times date back to the history of Russian Marxism. Spinoza was a most influential figure whom different Marxist currents and thinkers wanted to have on their side. This article examines the most relevant interpretations. First, it sketches some fundamental traits of Plekhanov’s understanding of Spinoza’s ontology and epistemology, from his critique of German revisionism at the end of the 1890s to his polemics against empiriocriticism and its Russian impact. Spinoza was a particularly relevant and authoritative thinker for the so-called “Machists” as well, and some of their different interpretations are analyzed as representing their critical approach to Marxism. Finally, Lunacharskiiʼs discussion is considered as a peculiar alternative to Plekhanov’s orthodox understanding not only of Spinoza but of Marxism itself. While Plekhanov judged Spinoza’s “theological” language a relic of his epoch, Lunacharskii maintained that it was precisely his “religious” feelings that made Spinoza a forerunner of Marxism.
The social myth and human domination of nature in Georg Sorel and Stanisław Brzozowski
Authors: Kasprzak Krystof 
Published: March 2021

AbstractIn this article I aim to bring to the fore a problematic trait of Polish philosopher Stanisław Brzozowski’s (1878–1911) thinking, which is his insistence on the metaphysical importance of human domination of nature through work, technology, and maximization of production. The focal point of the article is Brzozowski’s interpretation of Georg Sorel, with an emphasis on Reflections on Violence and the concept of the social myth. I argue that Brzozowski considers the primary strength of the social myth to lie in its contribution to such domination, because its principal trait is to provide man with a sublime feeling of elevation above nature. Furthermore, this feeling becomes a motive force for struggle against nature. In conclusion, I suggest that the perspective of the sublime is a fruitful path for future critical encounters with Brzozowski’s work. The first part of the article stresses the importance of the sublime in Reflections on Violence. Sorel uses this concept throughout his main work to describe the affective nature of the violence of the social myth, which coordinates the inclinations of the masses towards emancipation. The second part discusses how Brzozowski understands the social myth, law, and nationhood from the perspective of human domination of elemental nature.
Tailings Transport System Design Using Probabilistic Methods
Authors: Stowe Josh , Farrell Ian , Wingeard Eric 
Published: March 2021

AbstractTailings transport system design is generally based on identifying the minimum and maximum process boundary conditions for pump selection and pipeline sizing. The approach is robust and well-proven. However, the approach has the potential to skew selections to operating scenarios that have a very low likelihood of occurring, such as the combination of high solids throughput and low tailings solids concentration. The approach can result in a tailings transport system design that is overly conservative. A probabilistic method-based approach captures the independent variability of design inputs and the combined likelihood of outcomes. This approach identifies the process conditions that have the highest likelihood of occurrence and are most applicable to equipment and pipeline selections. An outline of a probabilistic-based approach to tailings transport system design and the resulting selections is provided in this article. The probabilistic-based system design is compared to the outcomes from the traditional approach. The benefits and challenges to this approach are discussed and recommendations for utilizing this approach for tailings transport system design are provided.
86057 High Screening Efficacy Using Wearable Seismocardiography to Identify Aortic Valve Disease Patients, Potential to Tailor MRI Exams to Patient Needs
Authors: Johnson Ethan M.I. , Barker Alex J. , Markl Michael 
Published: March 2021

ABSTRACT IMPACT: A single seismocardiography (SCG) parameter has been shown to accurately classify aortic valve disease (AVD) status in healthy controls and AVD patients. This could support development of SCG as a quick, inexpensive screening tool to better tailor MRI examination to patients’ needs. OBJECTIVES/GOALS: MRI is used commonly for monitoring of aortic valve disease (AVD), but it has high costs. We hypothesize that energy in seismocardiograms (SCG)’‘ signals from chest surface vibrations’‘ is different between healthy controls and AVD patients, and we evaluate potential efficacy of using SCG to recommend MRI only for patients with flow abnormalities. METHODS/STUDY POPULATION: With IRB approval, 45 healthy control subjects (47 ±18years, 18 female) and 9 patients (63 ±16years, 2 female) with aortic valve disease history and known flow abnormalities were recruited. SCG signals were acquired supine, immediately prior to MRI of thoracic aortic blood flow at 1.5T with a time-resolved phase contrast (4D Flow) sequence.The SCG was processed to calculate late-systole high-frequency (120-240Hz) RMS energy. MR velocity images were analyzed to measure peak velocity and trace pathlines of flow.Screening efficacy of the SCG energy metric was assessed, with hypothesis testing for differences in energy level distributions between controls and patients, and receiver-operator characteristic (ROC) analysis was used to calculate rates of correct/incorrect classification of disease. RESULTS/ANTICIPATED RESULTS: Healthy subjects had coherent flow pathlines through the aortic arch and mid-ascending aorta peak velocities of 106 ±21cm/s (cohort mean ±standard deviation). All valve disease subjects had flow abnormalities, such as jetting flow near the valve or swirling through the arch, as visualized by pathlines. Patients’ peak mid-ascending aorta velocities were 167 ±69cm/s. The SCG energy for healthy controls was significantly different than that of valve patients (-5.6 ±0.3dBmm/s/s vs. -4.0 ±1.2dBmm/s/s respectively; p<0.001). Thresholding SCG energy to distinguish patients from controls correctly classifies subjects with a high true-positive rate and low false-positive rate. The ROC for this classification has area-under-curve 0.956. DISCUSSION/SIGNIFICANCE OF FINDINGS: A high potential screening efficacy was observed using a single, linear SCG metric to identify AVD patients with flow abnormalities. If used to complement MRI surveillance protocols for AVD, this method has potential to serve as a quick, inexpensive tool for better tailoring MRI exams to patient needs.
An Eclectic Political Scientist: A Tribute to Robert Elgie
Authors: Passarelli Gianluca 
Published: March 2021

AbstractRobert Elgie's contribution to comparative politics is considerable. His work covers a range of subfields, including the study of political institutions, French politics, political leadership, presidentialism and semi-presidentialism. He became the leading scholar of semi-presidentialism and indeed defined much of the research agenda in this subfield.