bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the fitness of a dual-antiviral drug resistant human influenza virus in the ferret model
Authors: Stannard Harry L. , Mifsud Edin J. , Wildum Steffen , Brown Sook Kwan , Koszalka Paulina , Shishido Takao , Kojima Satoshi , Omoto Shinya , Baba Keiko , Kuhlbusch Klaus , Hurt Aeron C. , Barr Ian G. 
Published: September 2022

AbstractInfluenza antivirals are important tools in our fight against annual influenza epidemics and future influenza pandemics. Combinations of antivirals may reduce the likelihood of drug resistance and improve clinical outcomes. Previously, two hospitalised immunocompromised influenza patients, who received a combination of a neuraminidase inhibitor and baloxavir marboxil, shed influenza viruses resistant to both drugs. Here-in, the replicative fitness of one of these A(H1N1)pdm09 virus isolates with dual resistance mutations (NA-H275Y and PA-I38T) was similar to wild type virus (WT) in vitro, but reduced in the upper respiratory tracts of challenged ferrets. The dual-mutant virus transmitted well between ferrets in an airborne transmission model, but was outcompeted by the WT when the two viruses were co-administered. These results indicate the dual-mutant virus had a moderate loss of viral fitness compared to the WT virus, suggesting that while person-to-person transmission of the dual-resistant virus may be possible, widespread community transmission is unlikely.
Direct observation of mass-dependent collisionless energy transfer via Landau and transit-time damping
Authors: Ida Katsumi , Kobayashi Tatsuya , Yoshinuma Mikirou , Nagaoka Kenichi , Ogawa Kunihiro , Tokuzawa Tokihiko , Nuga Hideo , Katoh Yuto 
Published: September 2022

AbstractThe energy transfer from wave to particle occurs in collisionless plasma through the interaction between particle and wave, associated with the deformation of ion velocity space from Maxwell-Boltzmann distribution. Here we show the direct observation of mass-dependent collisionless energy transfer via Landau and transit-time damping in a laboratory plasma. The Landau and transit-time damping are confirmed by the bipolar velocity-space signature of the ion velocity distribution function, measured by fast charge exchange spectroscopy with a time resolution less than ion-ion collision time. The excellent agreement between the resonant phase velocity evaluated from the bipolar velocity-space signature and the wave’s phase velocity, estimated from the frequency of the magnetohydrodynamics oscillation measured with the plasma displacement is clear evidence for the Landau damping. The energy transfer from solitary wave to fully ionized carbon impurity ions is larger than that of bulk ions 2-3 times due to heavier mass.
Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks
Authors: Eappen Geoffrey , Cosmas John , T Shankar , A Rajesh , Nilavalan Rajagopal , Thomas Joji 
Published: September 2022

AbstractIn this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) networks. The smart base station in B5G networks aims to steer the beam towards appropriate user equipment based on the acquaintance of isotropic transmissions. The foremost methodology is to optimize beam direction through reinforcement learning that delivers significant improvement in signal to noise ratio (SNR). This includes alternate path finding during path obstruction and steering the beam appropriately between the smart base station and user equipment. The DLIRL is realized through supervised learning with deep neural networks and deep Q‐learning schemes. The proposed algorithm comprises of an online learning phase for training the weights and a working phase for carrying out the prediction. Results confirm that the performance of the B5G system is improved considerably as compared to its counterparts with a spectral efficiency of 11 bps/Hz at SNR = 10 dB for a bit error rate performance of 10−5. As compared to reinforced learning and deep neural network with a deviation of ±3o and ±5°, respectively, the DLIRL beamforming displays a deviation of ±2o. Moreover, the DLIRL can track the user equipment and steer the beam in its direction with an accuracy of 92%.
An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things
Authors: Shukla Surendra Kumar , Pant Bhaskar , Viriyasitavat Wattana , Verma Devvret , Kautish Sandeep , Dhiman Gaurav , Kaur Amandeep , Srihari Kannan , Mohanty Sachi Nandan 
Published: September 2022

AbstractThe goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other applications in executing in the system with optimal resource usage and reducing conflicts in a collaborative manner. It means self‐awareness is created in the application to get resources, schedules itself, running autonomically with respect to runtime variations in the applications and system parameters. Further, self‐aware applications would help collaboratively resolving the performance issues like; contention, bandwidth bottleneck, efficient task to core mapping, and performance monitoring through analysis in a dynamic collaborative multi‐core environment. To show the usefulness of this research, “Autonomic Computing Interface” (ACI) for is proposed Multicore systems. The proposed firmware as an interface between applications and the multi‐core system can dynamically handle performance issues with coordination of applications in an autonomic way. Also, in a highly dynamic execution environment the proposed runtime parameter tuning, existing performance improvement policies and self‐awareness approach in totality, for monitoring, analysis, and possibility for performance improvement would be effective as compared to the existing approaches which work in isolation.
Radial basis function‐based exoskeleton robot controller development
Authors: Hasan SK 
Published: September 2022

AbstractThe realisation of a model‐based controller for a robot with a higher degree of freedom requires a substantial amount of computational power. A high‐speed CPU is required to maintain a higher sampling rate. Multicore processors cannot boost the performance or reduce the execution time as the programs are sequentially structured. The neural network is a great tool to convert a sequentially structured program to an equivalent parallel architecture program. In this study, a radial basis function (RBF) neural network is developed for controlling 7 degrees of freedom of the human lower extremity exoskeleton robot. A realistic friction model is used for modelling joint friction. High trajectory tracking accuracies have been obtained. Evidence of computational efficiency has been observed. The stability analysis of the developed controller is presented. Analysis of variance is used to assess the controller's resilience to parameter variation. To show the effectiveness of the developed controller, a comparative study was performe between the developed RBF network‐based controller and Sliding Mode Controller, Computed Torque Controller, Adaptive controller, Linear Quadratic Regulator and Model Reference Computed Torque Controller.
Identification of WFRFT signals' parameter based on multi‐domain statistical features
Authors: Li Zhiyang , Mei Lin , Wang Ye , Ma Su , Zhang Qinyu 
Published: September 2022

AbstractAn efficient approach to recognize the parameter of the weighted‐type fractional Fourier transform signals based on the higher‐order cumulant is proposed. Due to the index additivity of weighted‐type fractional Fourier transform, the statistical features on different weighted fractional domains could be jointly considered, to overcome the problem of parameter ambiguity arising from the existing estimation methods based on higher‐order cumulant. This method can improve the ability of blind signal recognition no matter in a cooperative or non‐cooperative scenario.
Small‐signal stability assessment based on virtual regional eigenvalue
Authors: Cun Xin , Yan Rong , Geng Guangchao , Jiang Quanyuan 
Published: September 2022

AbstractSmall‐signal stability assessment (SSSA) plays a significant role in large‐scale power systems operation. Since the computational burden and unavailability of the detailed time‐varying model, it is practically difficult to use model‐based approaches to meet the real‐time demands of SSSA. Considering the neighbour eigenvalues share similar oscillation characteristics, this paper presents an efficient method for SSSA based on looking at the regions that include the neighbour eigenvalues of interest rather than the exact position of eigenvalues. After dividing the insufficient damping area into several regions, the limitations of existing data‐driven SSSA resulting from the uncertainty of critical eigenvalues are overcome by virtual regional eigenvalue (VRE), which is introduced to estimate the prominent eigenvalue of neighbour eigenvalues in each divided region. A composite structure based on Long short‐term memory is designed to accommodate the different number of eigenvalues, generate VRE and the boundary of eigenvalues in divided regions. The effectiveness of the proposed method is demonstrated by two different scale test systems.
A UAV‐based portable health clinic system for coronavirus hotspot areas
Authors: Qassab Mustafa Siham , Ali Qutaiba Ibrahim 
Published: September 2022

AbstractThis study applied the World Health Organization (WHO) guidelines to redesign the Portable Health Clinic (PHC), as a Remote Healthcare System (RHS), for the spread of COVID‐19 containment. Additionally, the proposed drone‐based system not only collects people data but also classifies the case according to the main symptoms of coronavirus using the COVID‐19 triage process (CT‐process) based on the analysis of measurement readings taken from patients, where drones are used in a swarm as a PHC platform and are equipped with the required sensors and essential COVID‐19 medications for testing and treating people at their doorstep autonomously when a full curfew is imposed. This paper describes a complete framework and proposes currently in production hardware to build the suggested system, considering the effect of the extra payload weight on drone's durability. In addition, part of the proposed application was simulated using OPNET simulation tool. This work highlights the main aspects that should be considered when designing drone swarm‐based system and distributing the roles on system nodes with the main focus on the controlling messages for inter‐swarm and intra‐swarm communication and coordination.
A bidirectional two‐input step‐up DC–DC converter with high gain, continuous input current, and common‐ground for EVs and renewable energy systems
Authors: Karimi Hajiabadi Mostafa , Lahooti Eshkevari Alireza , Mosallanejad Ali 
Published: September 2022

AbstractHere, a new two‐input step‐up DC–DC converter for electric vehicles (EVs) and renewable energy systems (RESs) is proposed. It requires few components and provides high step‐up voltage gain and high efficiency. The topology includes two input channels connected to two energy sources based on the “switch‐mode coupling” method. Sources supply the load via the proposed converter. Each source can charge another if it is rechargeable. The regenerative output side energy is also transmitted to the rechargeable source thanks to the bidirectional power transferring capability. Current sensitive resources can be employed as the converter operates with the continuous input current. The topology comprises only one main power switch located on the low‐voltage side; therefore, it is exposed to low voltage stress and can be readily picked up from low voltage rating semiconductors with small on‐resistance. Thanks to this feature, the conduction loss decreases considerably. The input and output terminals have a common ground. This paper demonstrates the theory and operating principle of the proposed topology. Experimental results are also presented and examined to verify the converter. For this purpose, a 48/400 V/1 kW prototype has been designed and built. Results confirm the converter and its operation.
Robust adaptive cubature Kalman filter for tracking manoeuvring target by wireless sensor network under noisy environment
Authors: Fang Xuming , Huang Dandan 
Published: September 2022

AbstractThe existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and time‐varying, resulting in large positioning errors. To solve this problem, a wireless sensor network manoeuvring target tracking algorithm using a novel robust adaptive cubature Kalman filter is proposed. This innovative robust adaptive cubature Kalman filter consists of a derived third‐order biased noise statistic estimator and conventional cubature Kalman filter. This derived noise statistic estimator can simultaneously sense time‐varying and unknown measurement and process noises and ensure that the adaptive cubature Kalman filter's robustness is not lost. The robustness of the novel robust adaptive cubature Kalman filter is strictly proven in this study. Extensive practical experiments and numerical simulations show that the proposed robust adaptive cubature Kalman filter always has higher target tracking accuracy than other existing adaptive Kalman filters, regardless of whether the mobile target is manoeuvring or not, the noise is unknown or time‐varying, and the number of anchor nodes is few or many.
Experience of Kapandji technique in treating Colles’ fracture in central region of Vietnam
Authors: Dang Le Hoang Nam , Nguyen Ba Luu , Le Hong Phuc , Nguyen Thanh Thao , Le Nghi Thanh Nhan 
Published: September 2022

Introduction: Extra-articular fractures of the distal radius, known as Colles’ fractures, are very common. The optimal management of Colles’ fracture is still controversial. The Kapandji technique is one option for orthopedic surgeons to maintain reduced fractures, however, the effectiveness of this method is no clear consensus. This study aims to access Colles’ fracture treatment by the Kapandji technique with our experiences. Methods: This prospective study of 33 patients treated with three K-wires intra-focal fractures by the Kapandji procedure for Colles’ fractures at Hue University of Medicine and Pharmacy Hospital in Vietnam between February 2017 and May 2019. The functional outcome of the patients was assessed by the demerit score system of Gartland and Werley, and the quality of reduction was elevated on radiographic as well at 3, 6, 12, and 24 weeks postoperative. Results: 33 patients’ mean age is 54.64 ± 18.00; After 24 weeks of postoperative follow-up, 78.79% presented excellent, 21.21% good, and there are not any fair or poor cases on the functional outcome. All patients achieved complete fracture union at 12 weeks postoperative. The average immediate postoperative radial length was 9.85 mm, the radial inclination was 20.64°, and the volar tilt was 9.2°. Conclusion: The study emphasizes that the Kapandji technique in Colles’ fracture treatment is simple and possible to bring a satisfactory outcome and fast recovery.
Geduld und Politik – die Verankerung der Balint-Arbeit in der
ärztlichen Weiterbildung in Deutschland*
Authors: Herzog Philipp 
Published: September 2022

ZusammenfassungIm Vergleich der Mitgliedsländer der International Balint Federation
gehört Deutschland zu den Ländern mit den meisten ausgebildeten
Balint-Gruppenleitern. In der Medizinischen Aus- und Weiterbildung ist die
Teilnahme an Balint-Gruppen fest verankert in den Weiterbildungsordnungen der
Ärztekammern für eine Reihe von Facharztanerkennungen. Als
Bestandteil der Psychotherapierichtlinien der Kassenärztlichen
Bundesvereinigung ist die Balint-Gruppenarbeit in Deutschland seit Jahrzehnten
eine der wesentlichen Grundlagen für die Abrechnung der Leistungen der
Psychosomatischen Grundversorgung, die in allen klinischen Fachgebieten der
vertragsärztlichen Versorgung möglich ist. Der Artikel
analysiert die historischen und politischen Faktoren, die bei der Etablierung
der Balint-Arbeit in Deutschland seit 1970 beteiligt waren. Abschließend
werden die Bedrohung der Balint-Arbeit durch Entwertung der patientenzentrierten
Medizin im Rahmen sozioökonomischer Umwälzungen im
Gesundheitswesen sowie die Perspektiven für die Zukunft
erörtert.
Reduktion von diabetesbezogenem Distress bei Typ-1- und Typ-2-Diabetes durch eine kognitiv-verhaltenstherapeutische Gruppenintervention
Authors: Gomille-Hahn Lara , Grammes Jennifer , Lehnart Judith , Binz Christine , Koehn Sandra , Kubiak Thomas , Benecke Andrea 
Published: September 2022

ZusammenfassungDas Stresserleben durch die Erkrankung Diabetes mellitus stellt für einen Großteil der betroffenen Personen oft eine deutliche Belastung dar, die sich negativ auf das Diabetes-Selbstmanagement und damit auf die Gesundheit der Betroffenen auswirken kann. Das Ziel der vorliegenden Studie war die Evaluation einer diabetesspezifischen kognitiv-verhaltenstherapeutischen Gruppentherapie zur Reduktion des Stresserlebens, bestehend aus sechs Sitzungen für Personen mit Typ-1- oder Typ-2-Diabetes. Vermittelt wurden Techniken zur Stressbewältigung, wie Achtsamkeit und Entspannungsübungen, sowie kognitive Techniken, die auf den Alltag mit der Diabeteserkrankung und damit verbundene Gedanken und Emotionen der Teilnehmenden bezogen waren. Von 52 Personen (51,9% mit Typ-1-Diabetes, 61,5% weiblich, Alter MW= 50,4 Jahre) lagen nach Studienteilnahme Fragebögen vor. Eine signifikante Verbesserung konnte im Problem Areas In Diabetes Questionnaire (Δ6.24 [95%-KI: 1.85–10.62], p=.006), dem Perceived Stress Survey (Δ2.93 [95%-KI: 1.59–4.26], p=.000) und der Diabetes Acceptance Scale (Δ5.5 [95%-KI: 9.07–1.93], p=.003) erreicht werden. Diese erwies sich auch im Follow-Up nach sechs Monaten als stabil. Der selbstberichtete HbA1c-Wert reduzierte sich im Befragungszeitraum bei der Teilstichprobe von N= 40, von der die Daten verfügbar waren, ebenfalls signifikant (Δ0.73 [95%-KI: 0.015–1.452], p=.046). Das Gruppentherapieprogramm zur Stressreduktion kann als eine niedrigschwellige, psychotherapeutische Interventionen zur Reduktion diabetesbezogener Belastungen angesehen werden. Es könnte ein hilfreiches primär- und sekundärpräventives Angebot für stressbelastete Menschen mit Diabetes in der Standardversorgung darstellen.
Outcomes of patients with hepaticojejunostomy anastomotic strictures undergoing endoscopic and percutaneous treatment
Authors: Choi Kevin Kyung Ho , Bonnichsen Mark , Liu Ken , Massey Saniya , Staudenmann Dominic , Saxena Payal , Kaffes Arthur John 
Published: September 2022

AbstractBackground and study aims The increase in hepaticojejunostomies has led to an increase in benign strictures of the anastomosis. Double balloon enteroscopy-assisted ERCP (DBE-ERCP) and percutaneous transhepatic biliary drainage (PTBD) are treatment options; however, there is lack of long-term outcomes, with no consensus on management. We performed a retrospective study assessing the outcomes of patients referred for endoscopic management of hepaticojejunostomy anastomotic strictures (HJAS).Patients and methods All consecutive patients at a tertiary institution underwent endoscopic intervention for suspected HJAS between 2009 and 2021 were enrolled.Results Eighty-two subjects underwent DBE-ERCP for suspected HJAS. The technical success rate was 77 % (63/82). HJAS was confirmed in 41 patients. The clinical success rate for DBE-ERCP ± PTBD was 71 % (29/41). DBE-ERCP alone achieved clinical success in 49 % of patients (20/41). PTBD was required in 49 % (20/41). Dual therapy was required in 22 % (9/41). Those with liver transplant had less technical success compared to other surgeries (72.1 % vs 82.1 % P = 0.29), less clinical success with DBE-ERCP alone (40 % vs 62.5 % P = 0.16) and required more PTBD (56 % vs 37.5 % P = 0.25). All those with ischemic biliopathy (n = 9) required PTBD for clinical success, required more DBE-ERCP (4.4 vs 2.0, P = 0.004), more PTBD (4.7 vs 0.3, P < 0.0001), longer treatment duration (181.6 vs 99.5 days P = 0.12), and had higher rates of recurrence (55.6 % vs 30.3 % P = 0.18) compared to those with HJAS alone. Liver transplant was the leading cause of ischemic biliopathy (89 %). The overall adverse event rate was 7 %.Conclusions DBE-ERCP is an effective diagnostic and therapeutic tool in those with altered gastrointestinal anatomy and is associated with low complication rates.
Creation of a Pilot Surgical Program for the Comprehensive Management of Patients with Congenital Urological Malformations
Authors: Fernandez Nicolas , Congote Juliana Villanueva , Varela Daniela , Prada Juan Guillermo , Zarante Ignacio , Seba Juan Enrique , Perez Jaime Francisco , Castellanos Julio Cesar 
Published: September 2022

Abstract
Objectives Congenital malformations constitute the first cause of morbidity and mortality in childhood in Latin America. That is why, since 2001, a surveillance system for congenital malformations has been implemented in Bogota - Colombia. However, despite the increase in detection, an impact on treatment has not been achieved. The present study describes our experience with a novel social program focused on congenital urologic disorders.
Methods The present manuscript is a retrospective observational study. We reviewed two national databases containing patients with congenital malformations. Patients were actively contacted to verify the status of the malformations. Children in whom the malformation was confirmed were offered a free consultation with a multidisciplinary group. After screening for surgical indications, patients were scheduled for surgery.
Results Between November 2018 and December 2019, 60 patients were identified. In total 44, attended the consultation; the remaining did not attend due to financial or travel limitations. The most common condition assessed was hypospadias. In total, 29 patients underwent surgery. The total cost of care was of US$ 5,800.
Conclusions Active search improves attention times and reduces the burden of disease. The limitations to be resolved include optimizing the transportation of patients and their families, which is a frequent limitation to access health care.