bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intraoperative Auditory Brainstem Response Measurements via the Vibrant Soundbridge Active Middle Ear Implant: Comparison of Two Methods
Authors: Cebulla Mario , Herrmann David P. , Hagen Rudolf , Rak Kristen 
Published: April 2022

Purpose:
The Vibrant Soundbridge (VSB) active middle ear implant can be used to treat adults and children with hearing loss. Intraoperative measurements based on auditory brainstem response (ABR) allow the determination of the implant's performance. Two methods for stimulus presentation during ABR measurements via VSB will be compared.

Method:
ABRs were measured in patients implanted with a VSB using a standard ABR system. The stimulus was transmitted directly to the VSB using a new transmission unit (AcoustiAP, MED-EL) and for comparison via a standard audio processor coupled to a wireless streaming device. The study included 10 subjects with mild-to-profound sensorineural, conductive, or mixed hearing loss.

Results:
As opposed to the wireless method, the AcoustiAP transmits the ABR stimulus without additional signal processing. Therefore, only minor distortions of the transmitted signal are to be expected. There was no significant difference between the performance of the two methods (mean wave V amplitudes 313 [75.2] vs. 301 [88.2] nVpp). In addition, the new system allowed for a more stable connection to the implant system.

Conclusion:
The AcoustiAP is a valuable tool for performing ABR measurements in patients during VSB implantation using standard equipment, as it allows for easier and more controlled measurements of the coupling efficiency of the implant.
Image fragile watermarking algorithm based on deneighbourhood mapping
Authors: Wang Yilong , Li Zhenyu , Gong Daofu , Lu Haoyu , Liu Fenlin 
Published: April 2022

AbstractTo address the security risk caused by fixed offset mapping and the limited recoverability of random mapping used in image watermarking, a self‐embedding fragile image watermarking algorithm based on deneighbourhood mapping are proposed. First, the image is divided into several 2 × 2 blocks, and authentication watermark and recovery watermark are generated based on the average value of the image blocks. Then, the denighbourhood mapping is implemented as, for each image block, its mapping block is randomly selected outside its neighbourhood. Finally, the authentication watermark and the recovery watermark are embedded into the image block itself and its mapping block. Theoretical analysis indicates that in the case of continuous area tampering, the proposed watermarking algorithm can achieve a better recovery rate than that of the method based on the random mapping. The experimental results verify the rationality and effectiveness of the theoretical analysis. Moreover, compared with the existing embedding algorithms based on random mapping, chaos mapping, and Arnold mapping, in the case of continuous area tampering, the proposed algorithm also achieves a higher average recovery rate.
Sub‐region non‐local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics
Authors: Ma Wei , Xin Zhihui , Liao Guisheng , Sun Yu , Wang Zhixu , Xuan Jiayu 
Published: April 2022

AbstractWhen synthetic aperture radar (SAR) images are denoised by non‐local mean (NLM) algorithm, logarithmic transformation will lead to the loss of some image information. To keep the details and smooth the noise of the SAR images better, a new sub‐region NLM denoising algorithm with the statistical characteristics of SAR image is proposed in this paper. Firstly, the probability distribution image is generated by calculating the probability value of every pixel. Then the images can be divided into the heterogeneous region and the homogeneous region by the threshold obtained with the variation coefficient of the probability image. A new filtering weight using both the original and probability images is generated based on NLM in the heterogeneous region. The filtering weight is obtained using the probability image in the homogeneous region. This method fully considers the characteristics of noise in different regions. Multi‐SAR image experiments demonstrate the advantages of noise smooth and detail protection.
Energy‐optimal study integrated speed trajectories, timetable and the layout of neutral sections for high‐speed railway
Authors: Sheng Zhao , ShangGuan Wei , Cai Bai‐Gen , Song Hongyu 
Published: April 2022

AbstractSpeed trajectories, timetable and the layout of neutral sections are the key elements that affect train energy consumption (EC). This paper combines the microscopic energy‐efficient train control (EETC), macroscopic energy‐efficient train timetabling (EETT) and neutral sections location planning (NSLP), to achieve minimum EC in bi‐directional high‐speed railway. An integrated model is first established based on neutral sections distribution model, timetable model and a multi‐phase model. Then, a double loop genetic algorithm (DLGA) is designed for matching the proposed model. The case studies are conducted by the proposed model and algorithm on the Wuhan‐Yueyang rail corridor. A simple case for single‐train movement in one section is primarily executed with variable neutral section location, to investigate the impact of neutral section location for train operation. The results indicate that neutral section locating at the coasting (CO) and cruising (CR) zones is the prior choice for energy conservation. Then, three integrated problems (EETC, EETC + EETT and EETC + EETT + NSLP) are carried out to obtain the energy‐optimal speed trajectories, timetable and the layout of neutral sections, showing that EETC + EETT + NSLP increases the regenerative energy recycling from 14.2% to 49.1% and achieves 9.2% energy reduction compared with EETC.
Editorial
Authors: Nießen Johannes , Bruns-Philipps Elke , Stark Karlin 
Published: April 2022

Liebe Leserinnen und Leser, liebe Kolleginnen und Kollegen,„Der Öffentliche Gesundheitsdienst – Jetzt die
Zukunft“ – der Abstractband, den Sie in Händen halten,
ist für uns, die Vorstandsmitglieder des Bundesverbandes der
Ärztinnen und Ärzte im Öffentlichen Gesundheitswesen,
etwas ganz Besonderes. Im Jahr 2020 musste der fertig geplante Bundeskongress in
Saarbrücken abgesagt werden. Das war für alle, die so viel
Energie in die Vorbereitung und inhaltliche Gestaltung gesteckt hatten, ein
herber Schlag. Unser ausdrücklicher Dank geht dabei an das
Bundesministerium für Gesundheit, welches uns auch im Fall dieser nicht
vorhersehbaren Situation sehr unterstützt hat.
DNVF Memorandum Gesundheitskompetenz (Teil II) –
Operationalisierung und Messung von Gesundheitskompetenz aus Sicht der
Versorgungsforschung
Authors: Stock Stephanie , Isselhard Anna , Jünger Saskia , Peters Stefan , Schneider Gundolf , Haarig Frederik , Halbach Sarah , Okan Orkan , Fischer Florian , Bollweg Torsten Michael , Bauer Ullrich , Schaeffer Doris , Vogt Dominique , Berens Eva-Maria , Ernstmann Nicole , Bitzer Eva Maria 
Published: April 2022

ZusammenfassungDas vorliegende „DNVF Memorandum Gesundheitskompetenz (Teil 2) –
Operationalisierung und Messung von Gesundheitskompetenz aus Sicht der
Versorgungsforschung“ des Deutschen Netzwerks Versorgungsforschung e.V.
(DNVF) stellt die Fortführung des Memorandums „DNVF Memorandum
Gesundheitskompetenz (Teil 1) – Hintergrund, Gegenstand und
Fragestellungen in der Versorgungsforschung“ dar. Neben den allgemeinen
Anforderungen an die Messung der Gesundheitskompetenz, beschäftigt sich
dieses Memorandum auch mit den speziellen Anforderungen, wie die Abgrenzung zu
verwandten Konstrukten, den Unterschieden zwischen performanzbasierten und
Selbsteinschätzungsverfahren, den Unterschieden zwischen generischen und
spezifischen Instrumenten, dem Einsatz von Screeninginstrumenten sowie der
Messung der Gesundheitskompetenz bei speziellen Personengruppen. Weiterhin
werden Besonderheiten bei der Messung der digitalen Gesundheitskompetenz,
Potenziale qualitativer und partizipativer Forschungszugänge sowie
forschungsethische Gesichtspunkte bei der Messung der Gesundheitskompetenz
erarbeitet. Ein besonderer Wert wird auf den Praxisbezug gelegt, der am Ende der
jeweiligen Abschnitte mit einem Fazit für die Versorgungsforschung
aufgegriffen wird. Abschließend wird einen Blick auf Herausforderungen
und Forschungsdesiderate im Zusammenhang mit der Messung von
Gesundheitskompetenz im Rahmen der Versorgungsforschung geworfen.
Phytotherapie in der S3-Leitlinie Komplementärmedizin in der
Behandlung von onkologischen Patient:innen
Authors: Rostock Matthias 
Published: April 2022

ZUSAMMENFASSUNGIm September 2021 ist erstmals eine Leitlinie für
Komplementärmedizin in der Behandlung von onkologischen Patient:innen in
Deutschland publiziert worden. Während andere
komplementärmedizinische Verfahren wie Akupunktur, Akupressur,
Homöopathie und Verfahren der Mind-Body-Medizin wie Meditation,
Mindfulness-based Stress Reduction, Tai-Chi/Qigong und Yoga bei
spezifischen Indikationen zumindest mit einer offenen Empfehlung
(„kann“) eingeordnet wurden, betraf dies in der Phytotherapie
lediglich Zubereitungen aus den Drogen der vier Heilpflanzen Traubensilberkerze,
Ginseng, Ingwer und Mistel. In diesem Artikel wird zum einen der methodologische
Hintergrund für diese Bewertung erörtert. Zum anderen erfolgt
eine Diskussion über einen wissenschaftlich und klinisch angemessenen
Umgang mit der Phytotherapie bei Patient:innen mit Tumorerkrankungen vor dem
Hintergrund dieser neu veröffentlichten Leitlinie.
Sellar Floor Reconstruction with and without Intrasellar Fat Packing after Endoscopic Resection of Large Pituitary Macroadenomas with Evident Intraoperative CSF Leak
Authors: Darwish Mohab , Nanous Walid , Hamead Khalaf , Ismail Mostafa 
Published: April 2022

Abstract
Background Intraoperative cerebrospinal fluid (CSF) leak is not uncommon with endoscopic transsphenoidal surgical excision of pituitary macroadenomas. How to seal the defect and prevent postoperative leak is still a matter of debate.
Objectives In patients with CSF leak, we tried to figure out which is more important in preventing postoperative leak, is it the sellar fat packing, is it tight repair of the sellar floor, or do we need to combine them both?
Patients and Methods Over 5 years, in patients with evident intraoperative CSF leak, with growing experience supported by positive postoperative results, we shifted gradually from intrasellar packing using combined fat graft and bioabsorbable materials (SURGICEL FIBRILLAR/Gelfoam) (group A, n =15) to only bioabsorbable materials (group B, n = 18), either of which is followed by tight repair of the sellar floor.
Results Postoperative clinical assessment did not differ significantly between both groups at early, midterm, and long-term follow-up intervals. We did not have any patients with delayed postoperative CSF leak or symptomatic empty sella syndrome (ESS).
Conclusion There is no difference in the incidence of postoperative CSF leak and clinical ESS among both groups, indicating that tight sellar floor repair is more important than packing the sellar cavity with or without fat graft.
High-Grade Astroblastoma in a Young Female: An Enigma with a Rare Cautionary Tale
Authors: Meel Mukta , Gandhi Ashok , Jindal Arpita , Kumar Mukesh 
Published: April 2022

AbstractAstroblastoma is an uncommon neuroepithelial primary brain neoplasm with speculative histopathological origin and unpredictable clinical behavior. They can be easily misdiagnosed, as they are rarely encountered in clinical practice and share common radiological and histopathologic appearances with other glial neoplasms. Herein, we report a case of high-grade astroblastoma in a 27-year-old female with complaints of seizures and loss of consciousness, which was misdiagnosed as atypical meningioma on neuroimaging, due to its rarity and superficial cortical location appearing as extra-axial mass. Although intraoperative findings were also of an extra-axial tumor, the histology and immunophenotype was of an astroblastoma; thus, highlighting the role of histopathology and immunohistochemistry.
GaN HEMTs on low resistivity Si substrates with thick buffer layers for RF signal amplification and power conversion
Authors: Song Wenjie , Zhang Jie , Zheng Zheyang , Feng Sirui , Yang Xuelin , Shen Bo , Chen Kevin J. 
Published: April 2022

We report GaN high-electron-mobility transistors (HEMTs) with a thick (7.7 µm) GaN buffer on a Czochralski low resistivity Si (LRS) substrate. The GaN HEMTs exhibit high performance for both radio-frequency (RF) amplification and power conversion. The thick GaN buffer was grown by means of vacancy engineering, delivering a low dislocation density of ∼1.6 × 108 cm−2, contributing to suppressed RF signal coupling to the lossy Si substrate and a high vertical voltage blocking capability. For RF performance, GaN HEMTs with a 650 nm gate exhibit an fT/fMAX value of 25.1/32.3 GHz and a maximum output power POUT of 2.2 W/mm at 4 GHz with a drain voltage VDS of 20 V, which is comparable with the performance of RF GaN HEMTs on a high-resistivity silicon substrate without the existence of the field plate. For power performance, the vertical breakdown voltage of the wafer is 1160 V, and the three-terminal lateral breakdown voltage is 885 V in a GaN HEMT with a gate-to-drain distance of 8 µm. The thick GaN layer on the LRS substrate scheme thus provides a compelling platform for monolithic integration of high-performance RF devices and high-voltage power devices.
Outsourcing Management to the Private Sector, Community-Based Tourism in Mozambique
Authors: Spenceley Anna 
Published: April 2022

Abstract
Covane Community Lodge is located in the buffer zone of the Limpopo National Park in Mozambique, and within the Great Limpopo Transfrontier Conservation Area. Over the years the accommodation has been supported with funds from USAID and the World Bank, and with technical support from non-governmental organisations. The community owners ran the lodge for several years, but commercial success, and better benefits for the community, have been achieved by outsourcing the management to the private company Scholtz Consutoria e servicos Lda.

Information
Snyman, S. and Spenceley, A. (2019) Private Sector Tourism in Conservation Areas in Africa, CABI
© CAB International 2022
Ground state properties of polonium isotopes using covariant density functional theory
Authors: Elsharkawy H M , Abdel Kader M M , Basha A M , Lotfy A 
Published: April 2022

Abstract
In the framework of the Relativistic Hartree-Bogoliubov (RHB) mean-field model, a Covariant Density Functional Theory (CDFT) is used to systematically investigate the triaxial shape evolution of even–even polonium isotopic chain (N = 102–148). Two different effective interactions, i.e. the Density-Dependent Meson-Exchange (DD-ME2) and the new parameter set of Density-Dependent Point-Coupling (DD-PCX) interactions, are utilized in the current study. Besides, the new parameter-free proxy-SU(3) model is used to investigate the ground state shapes of polonium isotopes. CDFT calculations with both parameter sets, predict shape coexistence in the neutron deficient side of polonium isotopic chain, which meets the same prediction of the proxy-SU(3) scheme. The predicted shapes of nuclei are in good agreement with several experimental studies, as well as other theoretical models presented in the current paper. Also, one triaxial ground state is predicted by DD-ME2, DD-PCX, and proxy-SU(3) but for three different nuclei. Different ground state properties like binding energy per nucleon, two-neutron separation energy and proton- neutron- and charge radii are presented in comparison with available experimental data as well as other theoretical models, like the Finite-Range Droplet Model (FRDM), the Infinite Nuclear Matter Model (INMM) and Deformed Relativistic Hartree-Bogoliubov theory in Continuum (DRHBc).
New approach for amplitudes with multiple fermion lines *
Authors: Zhang Feng , Gong Bin , Wang Jian-Xiong 
Published: April 2022

Abstract
A new approach for tree-level amplitudes with multiple fermion lines is presented. It primarily focuses on the simplification of fermion lines. By calculating two vectors recursively without any matrix multiplications, the result of a fermion line is reduced to a very compact form depending only on the two vectors. Comparisons with other packages are presented, and the results show that our package FDC provides a very good performance in the processes of multiple fermion lines with this new approach and some other improvements. A further comparison with WHIZARD shows that this new approach has a competitive efficiency in computing pure amplitude squares without phase space integration.
Decoupling representation learning for imbalanced electroencephalography classification in rapid serial visual presentation task
Authors: Li Fu , Li Hongxin , Li Yang , Wu Hao , Fu Boxun , Ji Youshuo , Wang Chong , Shi Guangming 
Published: April 2022

Abstract

Objective. The class imbalance problem considerably restricts the performance of electroencephalography (EEG) classification in the rapid serial visual presentation (RSVP) task. Existing solutions typically employ re-balancing strategies (e.g. re-weighting and re-sampling) to alleviate the impact of class imbalance, which enhances the classifier learning of deep networks but unexpectedly damages the representative ability of the learned deep features as original distributions become distorted. Approach. In this study, a novel decoupling representation learning (DRL) model, has been proposed that separates the representation learning and classification processes to capture the discriminative feature of imbalanced RSVP EEG data while classifying it accurately. The representation learning process is responsible for learning universal patterns for the classification of all samples, while the classifier determines a better bounding for the target and non-target classes. Specifically, the representation learning process adopts a dual-branch architecture, which minimizes the contrastive loss to regularize the representation space. In addition, to learn more discriminative information from RSVP EEG data, a novel multi-granular information based extractor is designed to extract spatial-temporal information. Considering the class re-balancing strategies can significantly promote classifier learning, the classifier was trained with re-balanced EEG data while freezing the parameters of the representation learning process. Main results. To evaluate the proposed method, experiments were conducted on two public datasets and one self-conducted dataset. The results demonstrate that the proposed DRL can achieve state-of-the-art performance for EEG classification in the RSVP task. Significance. This is the first study to focus on the class imbalance problem and propose a generic solution in the RSVP task. Furthermore, multi-granular data was explored to extract more complementary spatial-temporal information. The code is open-source and available at https://github.com/Tammie-Li/DRL.
Dynamical quantum phase transitions in the one-dimensional extended Fermi–Hubbard model
Authors: Mendoza-Arenas Juan José 
Published: April 2022

Abstract
We study the emergence of dynamical quantum phase transitions (DQPTs) in a half-filled one-dimensional lattice described by the extended Fermi–Hubbard model, based on tensor network simulations. Considering different initial states, namely noninteracting, metallic, insulating spin and charge density waves, we identify several types of sudden interaction quenches which lead to DQPTs. Furthermore, clear connections to particular properties of observables, specifically the mean double occupation or charge imbalance, are established in two main regimes, and scenarios in which such correspondence is degraded and lost are discussed. Dynamical transitions resulting solely from high-frequency time-periodic modulation are also found, which are well described by a Floquet effective Hamiltonian. State-of-the-art cold-atom quantum simulators constitute ideal platforms to implement several reported DQPTs experimentally.
Irrelevant deformations with boundaries and defects
Authors: Jiang Yunfeng , Loebbert Florian , Zhong De-liang 
Published: April 2022

Abstract
We initiate the study of

T

T

¯

-like irrelevant solvable deformations in quantum field theory with boundaries and defects. For this purpose, we employ a general formalism developed in the context of spin chains, which allows us to derive both, the deformed bulk and boundary/defect scattering matrices of integrable models. Using the deformed scattering matrices, we derive the flow equation for the deformed finite volume spectrum, as well as the cylinder partition function and the exact g-function.
Influence of secondary flow with a Coanda surface on the direction of jets
Authors: Zhang Qiang , Tamanoi Yu , Sato Kotaro 
Published: April 2022

Abstract
We propose a method for fluidic thrust vectoring by studying the effect of excited secondary Coanda flow on the direction of jets. The primary flow is the steady continuous jet, while the the secondary flow is synthetic jet or continuous flow. In this experiment, speaker is used to adjusted the frequency and velocity amplitude of synthetic jets, while a blower is used to adjust the continuous jet and suction flow.We visualize and compare the primary flow under the influence of various secondary flows. Additionally, computational fluid dynamics is used to investigate the flow characteristics, including the deflection angle. The main results of this study is that both synthetic jets and continuous suction flow are capable of deflection.
3D printed NiTi alloy lattice cantilever beam acoustic metamaterial
Authors: Gao Weirui , Guo Kai , Sun Jie , Yang Bin 
Published: April 2022

Abstract
In this paper, a novel acoustic metamaterial beam attached with lattice structures and resonators is designed for elastic wave attenuation. The proposed acoustic metamaterial beam is fabricated by 3D printing with NiTi alloy. Theoretical analysis using negative effective mass is performed to derive the band gap of structure. The finite element method and experimental analysis are performed to investigate the dispersion relation and transmission spectrum. Furthermore, the effect of geometric features on the band gap is studied by simulations. Results proved that the metamaterial beam can be utilized for the control of low-frequency vibration.