bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neutropenie – wann ist eine GCSF Unterstützung notwendig?
Authors: Rehlinghaus Marc , Rehker Philipp , Che Yue , Grunewald Camilla Marisa , Niegisch Günter 
Published: August 2023

ZusammenfassungViele Systemtherapien, die in der Behandlung uroonkologischer Erkrankungen eingesetzt
werden, verursachen Störungen der Hämatopoese. Dadurch kann es zum Auftreten einer Neutropenie
kommen. Neutropene Patienten sind gegenüber bakteriellen, aber auch anderen Infektionen
anfällig, häufig ist Fieber bei diesen Patienten das einzige Symptom. Eine solches neutropenes
Fieber bedeutet in aller Regel nicht nur eine lebensbedrohliche Therapiekomplikation mit einer
oft deutlichen Einschränkung der Lebensqualität der Patienten, sondern kann durch
Therapieverzögerungen oder erforderliche Dosismodifikationen auch die Prognose verschlechtert.
Granulozyten-Kolonie-stimulierende Faktoren (GCSF), die eine vermehrte Bildung von
neutrophilen Granulozyten stimulieren, können sowohl zur unterstützenden Behandlung bei der
febrilen Neutropenie als auch zu deren Prophylaxe eingesetzt werden. Dabei ist die korrekte
Indikationsstellung für eine solche GCSF-Unterstützung sowohl vom generellen Risiko einer
febrilen Neutropenie, der jeweils eingesetzten Therapie, als auch von individuellen
Patientenfaktoren und dem Therapieziel (palliative vs. kurative Therapie) abhängig. Basierend
auf den aktuellen Empfehlungen der deutschen sowie internationalen Leitlinien möchte dieser
Beitrag einen aktuellen und praxisorientierten Überblick zum Einsatz von GCSF in der
Uroonkologie geben.
Carpal Tunnel Syndrome in Patients with Psoriatic Arthritis; Superb
Microvascular Imaging Findings
Authors: Akyildiz Tezcan Ezgi , Levendoglu Funda , Durmaz Mehmet Sedat , Balevi Batur Elif , Albayrak Gezer Ilknur 
Published: August 2023

Abstract
Background It is well known that the carpal tunnel syndrome (CTS) is the
most widespread peripheral nerve entrapment syndrome throughout the world. CTS
can also be seen more often in rheumatic disease, especially in psoriatic
arthritis (PsA). Usage of ultrasonography to diagnose CTS has been the subject
of investigations for many years. Superb microvascular imaging (SMI) is a newly
developed ultrasonographic technique to visualise vascularity. More recently,
there have been some studies on the diagnosis of CTS with SMI. However, a review
of the literature reveals that there there has been no study on the diagnosis of
CTS in PsA. This is the subject of the present report, where we evaluate the
diagnostic value of SMI in CTS in patients with PsA.
Materials and methods 30 PsA patients (56 wrists) and 26 healthy
volunteers (52 wrists) were examined in the study. Demographic and clinical
features were recorded carefully. All participants underwent a standard
electrodiagnostic study (EDS) and ultrasonographic examination within a maximum
of one week. CTS was diagnosed using EDS. The vascularity of the median nerve
was examined using a new ultrasonographic technique. SMI signals were graded
from 0 to 3.
Results There were no significant differences between groups, with respect
to their age, gender, body mass index, smoking status, and hand dominance.
Although CTS was diagnosed in 9 patients (14 wrists) in the PsA group, CTS was
not diagnosed for any patient in the control group (p=0.002). The blood
flow display ratio of SMI in the median nerve was markedly higher in CTS
patients than with controls (median (25th, 75th percentile): 2(0.75, 2), 1(0,
2); p=0.014; respectively) or compared with CTS-free PsA patients
(2(0.75, 2), 1(0, 2); p=0.030; respectively). There was no remarkable
difference between PsA patients and healthy controls with respect to the median
nerve’s blood flow display ratio (median (25th, 75th percentile): 1(0,
2), 1(0, 2); p=0.164; respectively).
Conclusion To the best our knowledge, this is the first study assessing
SMI in the diagnosis of CTS in PsA patients. We concluded that SMI has important
diagnostic value in PsA patients for diagnosing CTS.
Was ist wirksam in forensischer Suchtbehandlung? – Ein
nicht-systematischer Einblick in die Evidenzbasierung von
Behandlungsansätzen und Interventionen im Kontext des § 64
StGB
Authors: Querengässer Jan 
Published: August 2023

ZusammenfassungForensische Suchtbehandlung nach § 64 Strafgesetzbuch spielt im deutschen
Maßregelvollzugssystem zahlenmäßig eine immer
größere Rolle. In den letzten Jahren stand die Frage der
Wirksamkeit der Behandlung insgesamt im Fokus zahlreicher Studien. Seltener
beschäftigte sich die Forschung jedoch mit der Evidenzbasierung
einzelner Interventionen und Wirkfaktoren. Der Artikel gibt einen
nicht-systematischen Einblick in den aktuellen Kenntnisstand zu spezifischen
Interventionen und Wirkfaktoren in der Behandlung suchtkranker
Straftäter. Im Ergebnis lässt sich die Frage, was genau wirkt,
nur rudimentär beantworten. Das Konzept der Therapeutischen Gemeinschaft
erscheint weitgehend empirisch belegt. Trotz schmaler Evidenzbasis
können als aussichtsreiche Therapieformen am ehesten Motivational
Interviewing und die Dialektisch-Behaviorale Therapie gelten.
Möglicherweise liegt die Wirksamkeit forensischer Suchtbehandlung
weniger in der Applikation einzelner Ansätze begründet als in
Fragen des Settings und der Haltung der Behandelnden.
Metal-Free Catalyzed Defluorinative O-Arylation of Pyrazolones with Polyfluoroarenes
Authors: Qin Tao , Liu Bin , Yang Liu 
Published: August 2023

AbstractAn efficient and general method for defluorinative O-arylation of pyrazolones has been successfully developed under metal-free conditions. This methodology allows for the synthesis of desired products by using a wide range of pyrazolones and polyfluoroarenes as starting materials. The compatibility of various substrates was demonstrated, ensuring the applicability of this method. Furthermore, the synthesis of the target compounds at a gram scale and the ability to perform late-stage modifications highlight the potential of this approach in preparative pharmaceutical synthesis and organofluorine chemistry.
Self-Reported Olfactory Outcomes in Transplanum and Transtuberculum Approaches
Authors: Balogun Zainab , Dharmarajan Harish , Kanwar Anandraj , Gardner Paul A. , Zenonos Georgios A. , Snyderman Carl H. , Traylor Katie , Wang Eric W. 
Published: August 2023

Abstract
Objectives The aim of this study was to determine the clinical characteristics and cephalometric risk factors associated with decreased postoperative olfaction in patients in whom the transplanum and transtuberculum expanded endonasal approach (EEA) was performed.
Methods A retrospective cohort of 41 patients treated with the transplanum and transtuberculum EEA was divided into two groups based on the maximum change in the postoperative 22-item Sino-Nasal Outcome Test (SNOT22) olfaction score: prolonged olfactory loss group (n = 5) with a ΔSNOT22 olfaction score of ≥ 4 without a return to baseline and a preserved olfaction group (n = 36) with a ΔSNOT22 olfaction score ≤ 3 with return to baseline on follow-up of at least 3 months. Demographics, operative details, and cephalometric measurements were compared between the two groups.
Results There were no differences in terms of the type of surgical approach (transplanum and transtuberculum), resection of turbinates (middle and superior), use of reconstructive flap (nasoseptal flap and reverse flap), or tumor pathology between the two groups. In the prolonged olfactory loss group, there was a smaller angle between the planum and the face of the sella (89.75 ± 9.18 vs. 107.17 ± 16.57 degrees, p = 0.05) and a smaller angle between the anterior nasal spine and the sphenoid sinus face (21.20 ± 2.49 vs. 25.89 ± 4.90 degrees, p = 0.047) compared with the preserved olfaction group.
Conclusion Patients with a narrow angle between the planum and the face of the sella or that between the anterior nasal spine and the sphenoid sinus face are at a higher risk of prolonged olfactory dysfunction with the transplanum and transtuberculum approaches.
Level of Evidence IV.
Visible-Light-Induced Oxidative Generation of o-Quinone Methides for Inverse-Electron-Demand [4+2] Cycloaddition Reactions
Authors: Tanaka Kenta , Hoshino Yujiro , Nohara Shoya , Iwai Suguru , Yamaguchi Naoya , Asada Yosuke , Kamiyama Yusuke , Tanaka Yuta 
Published: August 2023

AbstractOrganophotoredox-catalyzed oxidative generation of o-quinone methides (o-QMs) for inverse-electron-demand [4+2] cycloaddition reactions has been developed. One-electron oxidation of 2-(sulfanylmethyl)phenols by thioxanthylium photoredox catalyst generated o-QMs, which reacted with various styrenes to produce chromanes with high regioselectivity. This reaction offers a valuable approach for in situ generating o-QMs via one-electron oxidation process under irradiation with mild green light.
Persistent homology-based descriptor for machine-learning potential of amorphous structures
Authors: Minamitani Emi , Obayashi Ippei , Shimizu Koji , Watanabe Satoshi 
Published: August 2023

High-accuracy prediction of the physical properties of amorphous materials is challenging in condensed-matter physics. A promising method to achieve this is machine-learning potentials, which is an alternative to computationally demanding ab initio calculations. When applying machine-learning potentials, the construction of descriptors to represent atomic configurations is crucial. These descriptors should be invariant to symmetry operations. Handcrafted representations using a smooth overlap of atomic positions and graph neural networks (GNN) are examples of methods used for constructing symmetry-invariant descriptors. In this study, we propose a novel descriptor based on a persistence diagram (PD), a two-dimensional representation of persistent homology (PH). First, we demonstrated that the normalized two-dimensional histogram obtained from PD could predict the average energy per atom of amorphous carbon at various densities, even when using a simple model. Second, an analysis of the dimensional reduction results of the descriptor spaces revealed that PH can be used to construct descriptors with characteristics similar to those of a latent space in a GNN. These results indicate that PH is a promising method for constructing descriptors suitable for machine-learning potentials without hyperparameter tuning and deep-learning techniques.
Granola Nazis and the great reset
Authors: Tebaldi Catherine 
Published: August 2023

Abstract
This paper analyzes the naturalization of Nazism, through semiotic processes of enregisterment, circulation, and regimentation of the register “nature-tradition” associated with a characterological figure I term the Granola Nazi. Granola Nazi is assembled through a rhematized set of semiotic elements, images, practices and forms of talk, which have come to indicate socially typified personae – strong virile white farmers, traditional earthy homesteading moms – and the moral order they embody. Using linguistic anthropological and digital methods, this analysis draws on 885 Instagram accounts as well as linked data from YouTube and print media (i.e. cookbooks, diet advice), to explore how the worlds of far right neo-folkish movement intersect with discourses of health and wellness, creating moralized discourses of “natural beauty” and “folk vitality” which naturalize far- right racial hierarchies. This is at once a co-option of discourses of health and environment, but also one which reveals the how the naturalization of Nazism is made possible by racism and sexism in long present in liberal talk about nature, beauty or wellness.
Impoliteness and pragmatic preferences in German translations of British and Irish children’s fiction
Authors: Pleyer Monika 
Published: August 2023

Abstract
This paper argues that linguistic impoliteness in British and Irish children’s fiction undergoes some severe changes when translated into German. A novel system with five translation strategies is developed to account for the omission, weakening or aggravation of impolite utterances in the source text. In an analysis of three British and Irish children’s books and their German translations, it further shows that genre and publication date have a strong influence on the kind and number of changes to the source text. Especially older texts and school stories include a tendency to delete impolite utterances or use colloquial language which makes conflicts appear less serious.
From the sensing body to language, and back
Authors: Mondada Lorenza 
Published: August 2023

Abstract
Tasting sessions are an exemplary setting to investigate how participants choose descriptors for expressing sensorial judgments, based upon their own sensorial experience, as well as on existing available terminologies in different languages. On the basis of video-recorded tasting sessions of amateurs and professionals, the study shows how participants navigate between different types of descriptions – vocalizations, lexical descriptors, and clausal descriptions – in different languages, within ordinary vs specialized professional repertoires. Based on multimodal conversation analysis and ethnomethodology, the study reveals how they establish the interactional semantics of the descriptors in both a situated and a standardized/standardizing way, and they establish the (un)translatability of these descriptors. Different conceptions of translation and translatability are discussed, contributing to a pragmatic of translation sensu latu.
GRaM-X: a new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit
Authors: Shankar Swapnil , Mösta Philipp , Brandt Steven R , Haas Roland , Schnetter Erik , de Graaf Yannick 
Published: August 2023

Abstract
We present GRaM-X (General Relativistic accelerated Magnetohydrodynamics on AMReX), a new GPU-accelerated dynamical-spacetime general relativistic magnetohydrodynamics (GRMHD) code which extends the GRMHD capability of Einstein Toolkit to GPU-based exascale systems. GRaM-X supports 3D adaptive mesh refinement (AMR) on GPUs via a new AMR driver for the Einstein Toolkit called CarpetX which in turn leverages AMReX, an AMR library developed for use by the United States DOE’s Exascale Computing Project. We use the Z4c formalism to evolve the Einstein equations and the Valencia formulation to evolve the equations of GRMHD. GRaM-X supports both analytic as well as tabulated equations of state. We implement TVD and WENO reconstruction methods as well as the HLLE Riemann solver. We test the accuracy of the code using a range of tests on static spacetime, e.g. 1D magnetohydrodynamics shocktubes, the 2D magnetic rotor and a cylindrical explosion, as well as on dynamical spacetimes, i.e. the oscillations of a 3D Tolman-Oppenheimer-Volkhof star. We find excellent agreement with analytic results and results of other codes reported in literature. We also perform scaling tests and find that GRaM-X shows a weak scaling efficiency of ∼40%–50% on 2304 nodes (13824 NVIDIA V100 GPUs) with respect to single-node performance on OLCF’s supercomputer Summit.
Inexpensive and rapid fabrication of PDMS microfluidic devices for biological testing applications using low cost commercially available 3D printers
Authors: Ramasamy Megala , Ho Brandon , Phan Chau-Minh , Qin Ning , Ren Carolyn L , Jones Lyndon 
Published: August 2023

Abstract
Polydimethylsiloxane (PDMS) elastomers have been extensively used in the development of microfluidic devices, capable of miniaturizing biomolecular and cellular assays to the microlitre and nanolitre range, thereby increasing the throughput of experimentation. PDMS has been widely used due to its optical clarity and biocompatibility, among other desirable physical and chemical properties. Despite the widespread use of PDMS in microfluidic devices, the fabrication process typically via soft lithography technology requires specialized facilities, instruments, and materials only available in a limited number of laboratories. To expand microfluidic research capabilities to a greater scientific population, we developed and characterized a simple and robust method of fabricating relatively inexpensive PDMS microfluidic devices using readily available reagents and commercially available three-dimensional (3D) printers. The moulds produced from the 3D printers resolve designed microfluidic channel features accurately with high resolution (>100 µm). The critical physical and chemical post-processing modifications we outline here are required to generate functional and optically clear microfluidic devices.
Simple method to suppress n = −2 harmonic for periodic leaky-wave antennas with open-stopband suppression
Authors: Lei Siyuan , Wei Gao , Han Kangkang , Wang Min 
Published: August 2023

Abstract
Periodic leaky-wave antennas (PLWAs) suffer two main issues limiting their scanning ability. The first one is n= −2 spatial harmonic radiation, generating high grating-lobe levels. In this paper, a simple technique by introducing glide-symmetry structure to the PLWA is analysed and used to reduce n = −2 space harmonic level and enhance n = −1 harmonic radiation, subsequently. The other issue is open-stopband (OSB), preventing PLWAs from scanning through broadside. By analysing the ABCD matrix of the cascaded equivalent circuit for the unit cell, a conjugate match condition to counteract the susceptance of the radiation element to suppress the OSB is obtained, which is simple without extracting any parameters. A half-mode substrate integrated waveguide-based prototype is designed and manufactured to demonstrate the proposed methods. The measured results show that the proposed antenna achieves gain fluctuation lower than 1 dB and sidelobe level less than −12 dB, indicating OSB and n = −2 harmonic suppression well, which demonstrates the validity of the proposed method.
Development of magnetic image super-resolution model for nondestructive testing
Authors: Le Hoangcong , Luong Van Su , Le Minhhuy 
Published: August 2023

Abstract
Electromagnetic testing (ET) is a method in the nondestructive evaluation (NDE) methodology for detecting and evaluating cracks in engineering structures by measuring the distribution of the electromagnetic field. With the development of advanced deep learning (DL) techniques, DL is getting attention in crack detection problems through the measuring signals of NDE systems. However, obtaining the necessary big data for such experiments is a time-consuming and expensive task. Moreover, the quality of the crack detection results heavily depends on the quality and spatial resolution of the input image data. In this research, we solve the above-mentioned problems by proposing a DL-based method on the magnetic image for both the image super-resolution and image denoise. We first build a magnetic image simulation framework for the ET system, and thus, it is possible to build a large dataset for training the DL model. Second, we build a DL model for enhancing the quality of the magnetic image in both the spatial resolution and the denoise signal. This approach helps to reduce the cost of experiments (i.e. reducing the number of sensors for each experiment), sensor fabrication process, and noise removal of the ET system. We evaluate the proposed approach on several cracks with different sizes and shapes of aluminum specimens. The evaluation metrics, such as the structural similarity index measure (SSIM) and root mean square error show good performance of the proposed approach and compared to traditional methods.
Twin-boundary and precipitate interaction in Mg–Al alloy: an MD study
Authors: Moitra Amitava 
Published: August 2023

Abstract
Strengthening of Mg-alloys by precipitation is much less efficient than in other metallic alloys (e.g. Al) as the Mg17Al12 precipitates grow as thin plate or lozenge shaped or long rod shape parallel to the basal plane. Recently atomistic simulations reveal that the dislocation-precipitate interaction is very week to claim for the precipitation hardening mechanism. However, the interaction of twin-boundary with the Mg17Al12 precipitate remains unexplored using atomistic simulation. In the present study we focus on the twin-boundary/precipitate interaction at different temperatures, precipitate sizes and varied applied loads, carried out using classical molecular dynamics methodology. In particular, the activation energies necessary to overcome various precipitates are determined as a function of the temperature, precipitate size and applied load. The velocity profile of the twin is calibrated with these different external conditions. An attractive nature of interaction has been observed while the twin-boundary comes closer to the precipitate and a network of dislocations are observed when the twin-boundary bypass the precipitate, as manifested through our atomistic microstructures. These results provide valuable information about the precipitate hardening mechanisms and suggested new avenues to improve the mechanical properties of Mg–Al alloys.
Microscopic investigation of intrinsic defects in CVD grown MoS2 monolayers
Authors: Senkić Ana , Supina Antonio , Akturk Mert , Gadermaier Christoph , Maiuri Margherita , Cerullo Giulio , Vujičić Nataša 
Published: August 2023

Abstract
Defects in two-dimensional (2D) transition metal dichalcogenides (TMDs) greatly influence their electronic and optical properties by introducing localized in-gap states. Using different non-invasive techniques, we have investigated the spatial distribution of intrinsic defects in as-grown chemical vapor deposition (CVD) MoS2 monolayers and correlated the results with the growth temperature of the sample. We have shown that by increasing the CVD growth temperature the concentration of defects decreases and their spatial distribution and type change, influencing the sample’s electronic and optical properties.
In situ thermal noise measurements under nanoindentation of suspended graphene
Authors: Takehara Rin , Uto Yuki , Matsui Tomohiro , Hara Masahiro 
Published: August 2023

Abstract
We demonstrated thermal noise measurement under the nanoindentation of monolayer and bilayer graphene nanodrums. The resonant oscillation of the cantilever excited only by a thermal energy is detectable even in the case of contact with a suspended graphene. The contact resonance fRequency can be obtained in 1 millisecond intervals during the force curve measurement by optimizing the parameters of a real-time spectrum analyzer. The pretension value of the graphene nanodrum is evaluated by the minimum frequency just when the applied force of the cantilever becomes zero. The simultaneous measurement of the force and the resonant frequency with respect to the deformation of the graphene nanodrum enables us to determine the value of InvOLS (inverse optical lever sensitivity) more accurately in each measurement. From the analysis scheme, force curve measurements of the graphene nanodrums with the same diameters show good reproducibility. We also revealed that the effective spring constant of the graphene nanodrums consists of a weak sample-dependent pretension factor and a deformation-dependent factor proportional to the number of graphene layers.