bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abnormal Cerebrovascular Activity, Perfusion, and Glymphatic Clearance in Lewy Body Diseases
Authors: Ryman Sephira G. , Vakhtin Andrei A. , Mayer Andrew R. , van der Horn Harm Jan , Shaff Nicholas A. , Nitschke Stephanie R. , Julio Kayla R. , Tarawneh Rawan M. , Rosenberg Gary A. , Diaz Shanna V. , Pirio Richardson Sarah E. , Lin Henry C. 
Published: May 2024

AbstractCerebrovascular activity is not only crucial to optimal cerebral perfusion, but also plays an important role in the glymphatic clearance of interstitial waste, including α‐synuclein. This highlights a need to evaluate how cerebrovascular activity is altered in Lewy body diseases. This review begins by discussing how vascular risk factors and cardiovascular autonomic dysfunction may serve as upstream or direct influences on cerebrovascular activity. We then discuss how patients with Lewy body disease exhibit reduced and delayed cerebrovascular activity, hypoperfusion, and reductions in measures used to capture cerebrospinal fluid flow, suggestive of a reduced capacity for glymphatic clearance. Given the lack of an existing framework, we propose a model by which these processes may foster α‐synuclein aggregation and neuroinflammation. Importantly, this review highlights several avenues for future research that may lead to treatments early in the disease course, prior to neurodegeneration. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Tricuspid valve flow measurement using a deep learning framework for automated valve‐tracking 2D phase contrast
Authors: Lamy Jérôme , Gonzales Ricardo A. , Xiang Jie , Seemann Felicia , Huber Steffen , Steele Jeremy , Wieben Oliver , Heiberg Einar , Peters Dana C. 
Published: May 2024

AbstractPurposeTricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automated valve‐tracking 2D method for measuring flow through the dynamic tricuspid valve.MethodsNine healthy subjects and 2 patients were imaged. The approach uses a previously trained deep learning network, TVnet, to automatically track the tricuspid valve plane from long‐axis cine images. Subsequently, the tracking information is used to acquire 2D phase contrast (PC) with a dynamic (moving) acquisition plane that tracks the valve. Direct diastolic net flows evaluated from the dynamic PC sequence were compared with flows from 2D‐PC scans acquired in a static slice localized at the end‐systolic valve position, and also ventricular stroke volumes (SVs) using both planimetry and 2D PC of the great vessels.ResultsThe mean tricuspid valve systolic excursion was 17.8 ± 2.5 mm. The 2D valve‐tracking PC net diastolic flow showed excellent correlation with SV by right‐ventricle planimetry (bias ± 1.96 SD = −0.2 ± 10.4 mL, intraclass correlation coefficient [ICC] = 0.92) and aortic PC (−1.0 ± 13.8 mL, ICC = 0.87). In comparison, static tricuspid valve 2D PC also showed a strong correlation but had greater bias (p = 0.01) versus the right‐ventricle SV (10.6 ± 16.1 mL, ICC = 0.61). In most (8 of 9) healthy subjects, trace regurgitation was measured at begin‐systole. In one patient, valve‐tracking PC displayed a high‐velocity jet (380 cm/s) with maximal velocity agreeing with echocardiography.ConclusionAutomated valve‐tracking 2D PC is a feasible route toward evaluation of tricuspid regurgitant velocities, potentially solving a major clinical challenge.
Bilanz Freudenberg 2023: Abdichten, filtern und wischen
Authors: Bulmahn Maren 
Published: May 2024

AbstractIm Jahr seines 175‐jährigen Jubiläums hat Freudenberg erneut den Umsatz erhöht. Die Gruppe fertigt unter anderem Brennstoffzellentechnik, Reinigungsprodukte, Automobilteile, technische Textilien und Baustoffe.
Bilanzen 2023: Weniger produziert und eingenommen
Authors: Bulmahn Maren 
Published: May 2024

AbstractBranchenübergreifend sind die wenigsten Chemieunternehmen zufrieden mit dem Jahr 2023. Viele sind aber zuversichtlich, dass das laufende Jahr besser wird. Hürden sind oft zu hohe Energiekosten, zu viel Bürokratie und die allgemeine Wirtschaftslage.
Bilanz Clariant 2023: Katalysatoren und Kunststoffe
Authors: Bulmahn Maren 
Published: May 2024

AbstractDas Schweizer Spezialchemieunternehmen Clariant hat die Geschäftseinheiten neu organisiert: Nun gibt es fünf statt drei. Zwei davon haben wie der gesamte Konzern im Jahr 2023 weniger umgesetzt als zuvor.
Abderhalden oder Trockenpistole?
Authors: Täuscher Eric 
Published: May 2024

AbstractWie nennen Sie das links gezeigte Laborgerät? An der TU Ilmenau wollten Studenten kürzlich einen „Abderhalden“ in der Glasgeräteausgabe leihen. Gemeint war etwas, das als Trockenpistole bekannt ist. Wieso gibt es zwei so unterschiedliche Begriffe für das gleiche Instrument?
A robust optimization framework for two‐echelon vehicle and UAV routing for post‐disaster humanitarian logistics operations
Authors: Faiz Tasnim Ibn , Vogiatzis Chrysafis , Liu Jiongbai , Noor‐E‐Alam Md. 
Published: May 2024

AbstractProviding first aid and other supplies (e.g., epi‐pens, medical supplies, dry food, water) during and after a disaster is always challenging. The complexity of these operations increases when the transportation, power, and communications networks fail, leaving people stranded and unable to communicate their locations and needs. The advent of emerging technologies like uncrewed autonomous vehicles can help humanitarian logistics providers reach otherwise stranded populations after transportation network failures. However, due to the failures in telecommunication infrastructure, demand for emergency aid can become uncertain. To address the challenges of delivering emergency aid to trapped populations with failing infrastructure networks, we propose a novel robust computational framework for a two‐echelon vehicle routing problem that uses uncrewed autonomous vehicles (UAVs), or drones, for the deliveries. We formulate the problem as a two‐stage robust optimization model to handle demand uncertainty. Then, we propose a column‐and‐constraint generation approach for worst‐case demand scenario generation for a given set of truck and UAV routes. Moreover, we develop a decomposition scheme inspired by the column generation approach to generate UAV routes for a set of demand scenarios heuristically. Finally, we combine the decomposition scheme within the column‐and‐constraint generation approach to determine robust routes for both trucks (first echelon vehicles) and UAVs (second echelon vehicles), the time that affected communities are served, and the quantities of aid materials delivered. To validate our proposed algorithms, we use a simulated dataset that aims to recreate emergency aid requests in different areas of Puerto Rico after Hurricane Maria in 2017.
A flux‐based HDG method
Authors: Oikawa Issei 
Published: May 2024

AbstractIn this article, we present a flux‐based formulation of the hybridizable discontinuous Galerkin (HDG) method for steady‐state diffusion problems and propose a new method derived by letting a stabilization parameter tend to infinity. Assuming an inf‐sup condition, we prove its well‐posedness and error estimates of optimal order. We show that the inf‐sup condition is satisfied by some triangular elements. Numerical results are also provided to support our theoretical results.
Scratch resistance of glass‐basalt fiber reinforced epoxy hybrid composites: A comparative study
Authors: Fidan Sinan , Özsoy Mehmet İskender , Ürgün Satılmış , Bora Mustafa Özgür 
Published: May 2024

AbstractThis research explores the scratch resistance of polymer composites reinforced with hybrid glass and basalt fibers under repeated loadings. By examining the behavior across 1–10 repetitions using Rockwell and Vickers indenters, the study delves into the complex interplay between composite matrices and the fibers' configurations. Through Scanning Electron Microscope (SEM) imaging and 3D profilometry, it reveals how different fibers influence the composite's surface post‐scratch tests. Basalt fibers are found to offer superior scratch protection over glass fibers, although both types' of effectiveness declines with increased loading cycles, showing significant material loss and surface damage respectively. Composites with these fibers display enhanced resistance, especially when basalt fibers are optimally positioned on the surface. The study underscores the critical role of fiber‐matrix bonding in scratch resistance and the significant impact of mechanical stress. It was found that the scratch hardness values reduced with more repeats in the scratch tests utilizing Vickers and Rockwell indenters. The sample with the label G4B6G4 has the greatest hardness values, which is noteworthy. After 10 repeats, the scratch hardness values for this sample reduced to 225 N/mm2 and 75 N/mm2, respectively, from roughly 340 N/mm2 and 225 N/mm2 at both ends for a single repetition. In addition, ANOVA for penetration depth is dominated (66.01%) by the repetition factor. The most common kind is indenter (42.79%), with low p‐values. Despite material and indenter effects, groove area study confirms the significance of repetition (65.72%).Highlights
Basalt fibers enhance scratch resistance more than glass fibers.
Increased scratch repetitions lead to fiber breakage and material loss.
Hybrid fiber layers distribute load and minimize surface damage.
Strong fiber‐matrix adhesion is crucial for reducing damage severity.
Research informs the design of durable, fiber‐reinforced composites.
Pediatric Pulmonology 2023 year in review: Rare and diffuse lung disease
Authors: Hinds Daniel M. , Nevel Rebekah J. , Liptzin Deborah R. , Barber Andrew T. 
Published: May 2024

AbstractThe field of pediatric rare and diffuse lung disease continues its maturation as research advances the understanding of diagnosis and treatment of children's interstitial lung disease, noncystic fibrosis bronchiectasis, and primary ciliary dyskinesia. The rarity and breadth of these conditions make them challenging to study, yet we continue to make progress in our understanding of pathophysiology, genotype/phenotype relationships, and treatment. Papers published on these topics in Pediatric Pulmonology and other journals in 2023 describe the power of multicenter cooperation and patient registries, enhance our understanding of pathophysiology and genotype/phenotype relationships, and report progress in treatments. In this review, we hope to increase awareness and knowledge of these conditions and to inspire future research.
A COVID‐19 case report with low ACT(activated clotting time) and high serum D‐dimer level: Antithrombin III deficiency?
Authors: Şahin Tutak Ayşe 
Published: May 2024

AbstractThe Coronavirus Disease 2019 (COVID‐19), caused by the virus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2), is a global public health problem in which atypical findings other than the usual fever and respiratory symptoms render early diagnosis and treatment difficult. Cases with atypical clinical and laboratory presentations continue to pose a challenge in the treatment and control of the disease. This case report aims to share our follow‐up and treatment experience in a patient considered to have antithrombin III (ATIII) deficiency based on activated clotting time (ACT) levels unresponsive to heparin who was admitted to intensive care unit due to COVID‐19‐induced cytokine storm associated with extreme D‐dimer elevation (>65,000 μg/L).
Verification of the utility of the gonadotropin starting dose calculator in progestin‐primed ovarian stimulation: A comparison of empirical and calculated controlled ovarian stimulation
Authors: Kobanawa Masato , Yoshida Jouji 
Published: May 2024

AbstractPurposeTo validate the effectiveness of a gonadotropin starting dose calculator for progestin‐primed ovarian stimulation (PPOS), we conducted a study comparing the outcomes of oocyte retrieval between a group assigned gonadotropin doses via the calculator and a control group, where doses were determined by the clinician's empirical judgment.MethodsPatients underwent controlled ovarian stimulation (COS) using the PPOS method, followed by oocyte retrieval. We assessed and compared the results of COS and oocyte retrieval in both groups. Additionally, we examined the concordance rate between the number of oocytes actually retrieved and the target number of oocytes in each group.ResultsThe calculated group demonstrated a significantly higher number of preovulation follicles and a higher ovarian sensitivity index than the control group. Furthermore, the discrepancy between the target and actual number of oocytes retrieved was notably smaller in the calculated group. The concordance rate between the target and actual number of oocytes was significantly greater in the calculated group.ConclusionsThe gonadotropin starting dose calculator proved to be effective within the PPOS protocol, offering a reliable method for predicting the approximate number of oocytes to be retrieved, irrespective of the COS protocol employed.
ℒ2 gain tracking control of linear completely unknown discrete‐time networked control systems with dropout
Authors: Huang Deng , Xiao Feng , Feng Qian , Zhang Cong 
Published: May 2024

AbstractWe introduce an online, model‐free algorithm to address the gain optimal tracking problems in discrete linear networked control systems. The algorithm is specifically proposed to handle stochastic information dropout in the feedback loop. Our goal is to design a control law that achieves the system output reference tracking while attenuating the effect of the disturbance input. We first construct an augmented system consisting of the original system and the command generator system. Then, the performance index is expressed in a quadratic form taking into account packet loss. Next, we obtain the optimal solution by solving the dropout generalized algebraic riccati equation (GARE). Finally, a ‐learning algorithm is utilized to estimate the control and disturbance feedback gains of the system, using only measurement data with unknown system dynamics in the presence of dropout. Two algorithms are tested on a numerical example to demonstrate the validity and effectiveness of the proposed methodology.
Asynchronous control of switched Lurie systems with dwell time
Authors: Zhao Wenxiu , Sun Yuangong 
Published: May 2024

SummaryIn this paper, we study the absolute stability and control problem for switched Lurie system (SLS) under asynchronous switching. A novel Lyapunov‐Lurie function is constructed, which is discontinuous and allowed to increase at the switching instants and the instants when controller modes and system modes are matched. Considering the superiority of time‐varying Lyapunov function technique, this paper is concerned with the Lyapunov‐Lurie function with time‐varying characteristic. Then, based on the switched time‐varying Lyapunov‐Lurie function (STVLLF) and mode‐dependent minimum dwell time (MDMDT) method, some control synthesis conditions are derived. The developed controller can guarantee the absolute stability and ‐gain performance for the closed‐loop SLS with admissible switching lag. Subsequently, a time‐varying control scheme is proposed from the STVLLF. control synthesis conditions in terms of linear matrix inequalities are established, which improve the existing results. Finally, two numerical examples are considered to illustrate the effectiveness of the proposed approaches.
Torsional behavior of composite shear walls and load‐bearing sandwich panels: An experimental investigation
Authors: Alcan Haluk Görkem , Aydın Abdulkadir Cüneyt 
Published: May 2024

AbstractThis study aims to experimentally investigate the torsional behavior of acrylic latex polymer and alkali‐resistant glass fiber‐reinforced composite shear walls and load‐bearing sandwich panels. Also, this study was aimed to experimentally examine the changes in the torsional moment capacities, twist angle values, energy dissipation capacities, ductility index, and rigidity of the samples for the presence of the additives added to concrete, size, presence of reinforcement in sandwich panels, and effect of sandwich panels. Within the scope of this work, a control sample, two composite shear walls, and two sandwich panels were produced (1500 × 1200 × 150 mm). While adding 5% acrylic latex to the concrete phase of one of the composite shear wall groups, in the other group, both 5% acrylic latex and 1% alkali‐resistant glass fibers were added to the concrete. While the core structure of the sandwich panel group is reinforced, the other group is produced without reinforcement. A total of 10 samples were loaded out of the plane and a torsional moment is created. As a result of the experiment, the torsional moment, twist angle, and energy dissipation capacities were increased for the samples with acrylic latex and alkali‐resistant glass fiber. While glass fibers increased the ductility index of the test samples, they decreased the stiffness value. Acrylic latex, on the other hand, does not have much effect on the ductility index and stiffness value and increased its energy dissipation capacity. Reinforced sandwich panel samples presented greater torsional moment capacities and stiffnesses compared to composite walls, and less ultimate twist angles and energy dissipation capacities. In addition, although the experimental results of the sandwich panels without reinforcement are lower than the other groups, these also showed load‐bearing capability under the effect of the torsional moment.
Study on seismic performance of reinforced concrete shear wall with diagonally distributed reinforcement
Authors: Gao Yan , Wang Yushan , Zhu Wenxing , Wang Haifeng , Liao Huan , Xiao Di , Zhang Ziyang 
Published: May 2024

AbstractReinforced concrete shear walls in multistory buildings often undergo the combined action of vertical and horizontal loads, with their failure primarily attributed to localized damage of the concrete at the bottom of edge elements, leading to premature loss of wall functionality. To enhance the performance of shear walls, this study explores the optimization of shear wall design from the perspective of the stress path within the wall, introducing a diagonally distributed reinforcements in shear walls (referred to as DDR shear walls). To investigate the seismic performance of DDR shear walls, we consider the effects of axial compression ratio, the inclination angle of distributed reinforcing bars, reinforcing bar spacing, and shear span ratio. We design 27 shear wall models with various parameter combinations and employ ABAQUS finite element analysis software to simulate the seismic performance. The simulation results reveal that the inclined distribution of reinforcing bars significantly enhances the seismic performance of shear walls. To achieve optimal structural performance, the inclination angle of reinforcing bars should be adjusted for different floor levels, with higher floors requiring a greater angle and lower floors a smaller one. Additionally, increasing the reinforcing bar spacing and altering the shear span ratio will have varying degrees of impact on the seismic performance of shear walls, necessitating rational design adjustments based on specific circumstances. Furthermore, the application of DDR shear walls in prefabricated construction can be considered to optimize construction processes.
Smart Participatory Methodologies for Sustainable Cultural Tourism in Rural Areas
Authors: Grammalidis Nikos , Grammatikopoulou Athina 
Published: May 2024

AbstractRural areas encompass an abundance of cultural and natural heritage that offers great potential for attracting tourism. Nevertheless, many of these regions are neglected and deserted, facing many hard problems like limited job opportunities, poverty, low literacy rates, and a lack of basic infrastructures. In order to deal with these problems, we need to boost sustainable development by promoting participatory methodologies, engaging all interested stakeholders (public authorities, tourism organizations, cultural and creative industries, local communities, marginalised social groups, etc.) in novel co-creation of new touristic products and services (including real, digital or hybrid experiences). Using effective local and remote stakeholder engagement strategies as well as by adopting modern ICT technologies for developing high added—social, educational or economic-value products and services is a key element for boosting cultural tourism in such areas. In this paper, we first review recent state of the art practices and methodologies for Sustainable Cultural Tourism (SCT) in rural areas based on participatory approaches and modern ICT technologies. The proposed methodology first brings together all relevant key stakeholders to form hybrid (both real and online) communities (“SCT Innovation Hubs, SCTIHs”). We then formulate a concept for the establishment of a multi-disciplinary and cross-sectoral co-creation ecosystem for SCTIHs, based on (a) a participatory platform for consultation, decision-making and business model canvas creation, (b) a set of easy-to-use advanced smart apps/configurators to facilitate co-creation of new engaging hybrid cultural tourism products and services and (c) a digital marketplace to distribute these products, ensuring a fair distribution of profits for the co-creators and facilitating evaluation and identification of best practices. The main contribution of this study is to identify current challenges for SCT in rural areas and attempt to meet them by proposing a bottom-up and inclusive ICT-based methodology for co-design and co-creation.
Examination of Individual Preferences for Safety and Security in Airports. A Choice Modelling Experiment
Authors: Messaritaki Varvara , Stergiou Dimitris , Apostolakis Alexandros , Jaffry Shabbar 
Published: May 2024

AbstractThere is an increasing concern for safety and security in an aviation context, due to heightened terrorism threats and other security scares recently. The paper aims to evaluate the factors affecting visitors’ preferences for alternative policy initiatives in the field of security and safety in an aviation context. The paper makes use of stated choice experiments to evaluate individual preferences. This paper presents the findings from a homogeneous preference specification of a stated preferences discrete choice modelling experiment. The empirical findings indicate that they hold positive and statistically significant preferences for a wider disclosure of security related information, while at the same time; they do not mind longer waiting times in order to go through security checks. This is certainly opposite to our initial hypotheses. Finally, respondents expressed negative and statistically significant preferences for higher prices (security surcharges). In other words, they do not want to pay for higher security and safety measures at an aviation context. The paper offers interesting recommendations to decision-makers, managers and practitioners in the aviation field.