bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-Band Heterogeneous Wireless Network Architecture for Industrial Automation: A Techno-Economic Analysis
Authors: Manjunatha Koushik Araseethota , Agarwal Vivek 
Published: March 2021

Abstract
To attain automation across different applications, industries are beginning to leverage advancements in wireless communication technologies. A "one-size-fits-all" solution cannot be applied since wireless technologies are selected according to application needs, quality of service requirements, and economic restrictions. To balance the trade-off between technical and economic requirements, a multi-band heterogeneous wireless network architecture is presented and discussed in this paper. Wireless local area network (WLAN) and distributed antenna system (DAS) with Long Term Evolution (LTE) are considered as the backbone for the multi-band heterogeneous network into which other wireless technologies can be integrated. The technical and economic feasibility of the network are evaluated through a techno-economic analysis (TEA). The economic feasibility of the proposed network is measured in terms of net present value while the technical feasibility is measured in terms of network throughput and latency. Finally, network performance for DAS with LTE and WLAN are verified using an NS3 simulator for machine-to-machine, real-time video, and high-definition video data transmissions. The TEA analysis showed that the number of DAS units required to achieve technical feasibility is less than WLAN units, but the overall cost of DAS units are higher compared to WLAN units, even without taking into consideration industrial, scientific, and medical band technologies.
A 3 – 18 GHz UWB Antenna with modified feed-line
Authors: Itapu Srikanth 
Published: March 2021

Abstract
A Co-Planar Waveguide fed circular ultra-wide band antenna with modified ground-plane and feedline is designed on a FR4 (ϵr=4.3) substrate of thickness 0.01λ0. The proposed antenna exhibits an overall impedance bandwidth ranging from 2.99 GHz to 18.0 GHz and beyond (with S11< -10 dB). Design parameters have been optimized to achieve the UWB bandwidth. The measured radiation patterns of this antenna are omnidirectional in H- plane and bidirectional in E-plane. An extended impedance bandwidth is achieved as a result of modified feed-line. The proposed antenna can be used for medical imaging and urban IoT applications.
A Robust Fault-Tolerance Scheme with Coverage Preservation for Planar Topology based WSN
Authors: Aghbari Zaher Al , V Pravija Raj P , Khedr Ahmed M 
Published: March 2021

Abstract
Maintaining prolonged service lifetime and adequate quality of sensing coverage are the key challenges
in constructing Wireless Sensor Network (WSN) based applications. As such networks usually
operate in inhospitable and hostile environment, failures are ineludible and providing resilience is a necessity.
However, it is challenging to satisfy the conflicting problems of enhancing energy efficiency and
fault tolerance simultaneously. Fault-tolerance is a significant requirement while designing WSN. It is
crucial to detect the failures in advance and take necessary measures to maintain durable and efficient
functioning of the network. Generally, in the existing face structured WSNs, node faults and failures can
induce the formation of coverage holes, disrupt the face structure and consequently curtail the application
performance. The coverage quality will affect the monitoring effectiveness of tracking applications,
e.g., a moving target tracking. Moreover, node failures can cause the network to be partitioned, further
reducing the accuracy in tracking. In this paper, we propose a robust fault-tolerance scheme with coverage
preservation using a face structured WSN topology (FCAFT ). The key objective of the proposed
FCAFT scheme is to sustain the performance of the network by timely healing the faults in the network,
to enhance the durability and reliability of the WSN. The results of simulation and comparison with
existing methods reveal that FCAFT is efficacious in sustaining the coverage and enhancing the service
lifetime of WSN, which is a necessity for critical monitoring and tracking applications of WSNs.
Survey on Diagnosing CORONA VIRUS from Radiography chest X-ray images using Convolutional Neural Networks
Authors: JT Thirukrishna , Krishna Sanda Reddy Sai , Shashank Policherla , S Srikanth , V Raghu 
Published: March 2021

Abstract
Corona Virus continues to possess its effects on the people lives across the world. The screening of infected persons is vital step because it is a fast and low-cost way. Chest X-ray images plays a major crucial role and it is used for examination in detection of CORONA VIRUS(COVID-19). Here radiological chest X-rays are easily available with low cost only. In this survey paper, we are using a Convolutional Neural Network(CNN) based solution that will benefit in detection of the Covid-19 Positive patients using radiography chest X-Ray images. To test the efficiency of the solution, we are using public available X-Ray images of Corona Virus Positive cases and negative cases. Images of Positive Corona Virus patients and pictures of healthy person images are divided into testing images and trainable images. The solution which we are providing will give good results in classification accuracy within the test set-up. Here we are going to develop a GUI application for medical Examination areas. This GUI application can be used on any computer and performed by any medical examiner or technician to determine Corona Virus positive patients using radiography X-ray images. The result will be shown or provided by this application is really fast and done within a few seconds.
Deep Reinforcement Learning for Building Honeypots against Runtime DOS Attack
Authors: Veluchamy Selvakumar , Kathavarayan RubaSoundar 
Published: March 2021

Abstract
Honeypot is a network environment used to protect the legitimate network resources from attacks. Honeypot creates an environment that impresses attackers to inject their activities to steal resources. This is a way to detect the attacks by doing attack detection procedures. In this work, Denial of Service (DoS) attacks are effectively detected by proposed honeypot system. Machine Learning (ML) and Deep Learning (DL) methods evolve in many areas to build intelligent decision making systems. This work uses DL approaches and secures event validation procedures for finding predicting DoS attacks. The proposed system called Deep Adaptive Reinforcement Learning for Honeypots (DARLH) is implemented to monitor internal and external DoS attacks. In the honeypot environment, the proposed DARLH system implements DARL based IDS (Intrusion Detection System) agents and Deep Recurrent Neural Network (DRNN) based IDS agents for monitoring multiple runtime DoS attacks. These techniques support for dynamic IDS against DoS attack. In addition, the DARLH creates protected poison distribution and server side supervision system for keeping the monitoring events legitimate. This work is implemented and performance is evaluated. The results are compared with existing systems like GNBH, BCH and RNSG. In this comparison, the proposed system provides 5–10% better results than other systems.
A positively charged surface patch on the pestivirus NS3 protease module plays an important role in modulating NS3 helicase activity and virus production
Authors: Zheng Fengwei , Yi Weicheng , Liu Weichi , Zhu Hongchang , Gong Peng , pan zishu 
Published: March 2021

Abstract
Pestivirus nonstructural protein 3 (NS3) is a multifunctional protein with protease and helicase activities that are essential for the virus replication. In this study, we used a combination of biochemical and genetic approaches to investigate the relationship between the positively charged patch on protease module and NS3 function. The surface patch was composed of four basic residues R50, K74 and K94 in NS3 protease domain and H24 in the structurally integrated cofactor NS4A PCS . Single residue or simultaneous four-residue substitution in the patch to alanine or aspartic acid hardly affect ATPase activity. However, the single R50, K94 or H24 residue or simultaneous four-residue substitution resulted in the apparent changes of the helicase activity and RNA-binding ability of NS3. When these mutations were introduced into a classical swine fever virus (CSFV) cDNA clone, the single K94 residue or simultaneous four-residue substitution (Qua_A or Qua_D) impaired the infectious virus production. Furthermore, the replication efficiency of the CSFV variants was partially correlated to the helicase activity of NS3 in vitro . Our results suggest that the conserved positively charged patch on the NS3 plays an important role in modulating the NS3 helicase activity in vitro and CSFV production.
COVID-19 lockdown has altered the dynamics among affective symptoms and social isolation among older adults: results from a longitudinal network analysis
Authors: Yu Junhong , Mahendran Rathi 
Published: March 2021

Abstract
The COVID-19 lockdown has drastically limited social interactions and brought about a climate of fear and uncertainty. These circumstances not only increase affective symptoms and social isolation among community dwelling older adults but also alter the dynamics among them. Using network analyses, we study the changes in these dynamics before and during the lockdown. Community-dwelling older adults (N = 419) completed questionnaires assessing depression, anxiety, and social isolation, before the COVID-19 pandemic, as part of a cohort study, and during the lockdown period. The total scores of these questionnaires were compared across time. For the network analyses, partial correlation networks were constructed using items in the questionnaires as nodes, separately at both timepoints. Changes in edges, as well as nodal and bridge centrality were examined across time. Depression and anxiety symptoms, and social isolation had significantly increased during the lockdown. Significant changes were observed across time on several edges. Greater connectivity between the affective and social isolation nodes at lockdown was observed. Depression symptoms have become more tightly coupled across individuals, and so were the anxiety symptoms. Depression symptoms have also become slightly decoupled from those of anxiety. These changing network dynamics reflect the greater influence of social isolation on affective symptoms across individuals and an increased vulnerability to affective disorders. These findings provide novel perspectives and translational implications on the changing mental health context amidst a COVID-19 pandemic situation.
A comparison of three different surgery approaches and methods for neurologically intact thoracolumbar fractures: A retrospective study
Authors: Zhu Chao , wang bin , yin jian , Liu Xinhui 
Published: March 2021

Abstract
Objectives

The purpose of this study was to evaluate and compare the feasibility, safety, and efficacy of conventional open pedicle screw fixation (COPSF), percutaneous pedicle screw fixation (PPSF), and paraspinal posterior open approach pedicle screw fixation (POPSF) for treating neurologically intact thoracolumbar fractures.
Methods

We retrospectively reviewed 108 patients who were posteriorly stabilized without graft fusion. Among them, 36 patients underwent COPSF, 38 patients underwent PPSF, and 34 patients underwent POPSF. The clinical outcomes, relative operation indexes, radiological findings were assessed and compared among the 3 groups.
Results

All of the patients were followed up for a mean time of 20 months. The PPSF group and POPSF group had shorter operation times, lower amounts of intraoperative blood loss, and shorter postoperative hospital stays than the COPSF group (P < 0.05). The radiation times and hospitalization costs were highest in the PPSF group (P < 0.05).Every group exhibited significant improvements in the Cobb angle (CA) and the vertebral body angle (VBA) correction (all P < 0.05). The COPSF group and the POPSF group had better improvements than the PPSF group at 3 days postoperatio and the POPSF group had the best improvements in the last follow up (P < 0.05).
Conclusion

Both PPSF and POPSF achieved similar effects as COPSF while also resulting in lower incidences of injury. PPSF is more advantageous in the early rehabilitation time period, compared with COPSF, but POPSF is a better option when considering the long-term effects, the costs of treatment and the radiation times.
Engagement with a Diverse Stakeholder Advisory Council for Research in Dementia Care
Authors: Masoud Sara Suzanne , Glassner Ashlie A. , Patel Neela , Mendoza Mayra , James Deborah , Rivette Sheran , White Carole L. 
Published: March 2021

Abstract
Background The inclusion of stakeholders throughout the research process has been gaining recognition as an approach that can improve the quality and impact of research. Stakeholder engagement for dementia care research has been identified as a national priority, though evaluation of engagement strategies and their impact has been limited. In dementia care research, stakeholders can include individuals living with dementia, family care partners, and health and social care professionals in dementia care. A Stakeholder Advisory Council (SAC) was established to identify priorities for dementia care research that are most important to stakeholders. Strategies to build capacity for research and facilitate engagement among the SAC were used to identify the research priorities. This study describes the experiences of SAC members engaged in the research process. Methods To evaluate stakeholder engagement, semi-structured interviews were conducted with members of the SAC to understand their experiences and perspectives on the strategies used to facilitate engagement and build capacity for research. Interviews were recorded, transcribed, and thematically analyzed using a mixed inductive and deductive approach. Findings were presented to members of the SAC to determine whether they felt their perspectives and experiences were accurately represented. Final domains and themes presented here were approved by the SAC. Results Interviews (N=11) were conducted with members of the SAC representing each stakeholder group; persons living with dementia (n=2); family care partners (n=4), and health and social care professionals in dementia care (n=5). Ten themes were categorized into four overarching domains: accessibility, council infrastructure, values and environment, and benefits of involvement. Conclusions Findings from this qualitative study are a resource for researchers seeking to collaborate with diverse stakeholder groups to represent their perspectives in research, including individuals living with dementia. The domains and themes identified here support the inclusion of diverse stakeholders in the research process, centering engagement and capacity building strategies around individuals living with dementia.
Repurposing tebipenem pivoxil as alternative therapy for severe gastrointestinal infections caused by extensively-drug resistant (XDR) Shigella spp.
Authors: Alvaro Elena Fernández , Cozar Cristina de , Urones Beatriz , Cortés Alvaro , Price Alan , Hoang Nhu Tran Do , Tuyen Ha Thanh , McCloskey Molly , Shaheen Shareef , Dayao Denise , Mercado Jaime de , García-Perez Adolfo , Singa Benson , Pavlinac Patricia , Walson Judd , Martínez-Martínez Maria Santos , Arnold Samuel , Tzipori Saul , Ballel Lluis , Baker Stephen 
Published: March 2021

Abstract
Diarrhoea remains one of the leading causes of childhood mortality globally. Recent epidemiological studies conducted in low-middle income countries (LMICs) identified Shigella spp. as the first and second most predominant agent of dysentery and moderate diarrhoea, respectively. Antimicrobial therapy is often necessary for Shigella infections; however, we are reaching a crisis point with efficacious antimicrobials. The rapid emergence of resistance against existing antimicrobials in Shigella spp. poses a serious global health problem. Here, aiming to identify alternative antimicrobial chemicals with activity against multi-drug resistant (MDR) Shigella, we initiated a collaborative academia-industry drug discovery project, applying high throughput phenotypic screening across broad chemical diversity. We identified several suitable compounds with antibacterial activity against Shigella. These compounds included the oral carbapenem tebipenem, which was found to be highly potent against broadly susceptible Shigella and contemporary MDR variants. Additional in vitro screening demonstrated that tebipenem had activity against a wide range of other non-Shigella enteric bacteria. Cognisant of the risk for the development of resistance against monotherapy, we identified synergistic behaviour of two different drug combinations incorporating tebipenem. The orally bioavailable prodrug (tebipenem pivoxil) effectively cleared the gut of infecting organisms when administered in physiological doses to Shigella-infected mice and gnotobiotic piglets. Our data highlight the utility of broad compound screening for tackling the emerging antimicrobial resistance crisis and shows that tebipenem pivoxil (licenced for paediatric respiratory tract infections in Japan) could be repurposed as an effective treatment for severe diarrhoea caused by MDR Shigella and other enteric pathogens in LMICs.
Interfacial Electronic Structure Engineering on Molybdenum Sulfide for Robust Dual-pH Hydrogen Evolution
Authors: Liu Mingqiang , Wang Jia-ao , Wang Gui-Gen , Li Fei , Cai Ya-Wei , Zhang Fuchun , Yu Jie , Yang Ya 
Published: March 2021

Abstract
Molybdenum disulfide, as an electronic highly-adjustable catalysts material, tuning its electronic structure is crucial to enhance its intrinsic hydrogen evolution reaction (HER) activity. Nevertheless, there are yet huge challenges to the understanding and regulation of the surface electronic structure of molybdenum disulfide-based catalysts. Here we address these challenges by tuning its electronic structure of phase modulation synergistic with interfacial chemistry and defects from phosphorus or sulfur implantation, and we then successfully design and synthesize electrocatalysts with the multi-heterojunction interfaces (e.g., 1T0.81-MoS2@Ni2P), demonstrating superior HER activities and good stabilities with a small overpotentials of 38.9 and 98.5 mV at 10 mA/cm2, a low Tafel slopes of 41 and 42 mV/dec in acidic as well as alkaline surroundings, outperforming commercial Pt/C catalyst and other reported Mo-based catalysts. Theoretical calculation verified that the incorporation of metallic-phase and intrinsic HER-active Ni-based materials into molybdenum disulfide could effectively regulate its electronic structure for making the bandgap narrower. Additionally, reduced nickel possesses empty orbitals, which is helpful for additional H binding ability. All these factors can decrease Mo-H bond strength, greatly improving the HER catalytic activity of these materials.
Direct limits for scalar field dark matter from a gravitational-wave detector
Authors: Grote Hartmut , Vermeulen Sander , Relton Philip , Raymond Vivien , Affeldt Christoph , Bergamin Fabio , Bisht Aparna , Brinkmann Marc , Danzmann Karsten , Doravari Suresh , Kringel Volker , Lough James , Lueck Harald , Mehmet Moritz , Mukund Nikhil , Nadji Severin , Schreiber Emil , Sorazu Borja , Strain Kenneth , Vahlbruch Henning , Weinert Michael , Willke Benno 
Published: March 2021

Abstract
The nature of dark matter remains unknown to date and several candidate particles are being considered in a dynamically changing research landscape [1]. Scalar field dark matter is a prominent option that is being explored with precision instruments such as atomic clocks and optical cavities [2-8].
Here we report on the first direct search for scalar field dark matter utilising a gravitational-wave detector operating beyond the quantum shot-noise limit.
We set new upper limits for the coupling constants of scalar field dark matter as a function of its mass by excluding the presence of signals that would be produced through the direct coupling of this dark matter to the beamsplitter of the GEO600 interferometer. The new constraints improve upon bounds from previous direct searches by more than six orders of magnitude and are more stringent than limits obtained in tests of the equivalence principle by one order of magnitude.
Our work demonstrates that scalar field dark matter can be probed or constrained with direct searches using gravitational-wave detectors and highlights the potential of quantum-enhanced interferometry for dark matter detection.
Triple-Band Dual-Polarized Dipole Antenna for 5G Sub-6 GHz Communications
Authors: Yang Lixia , Tahseen Hafiz Usman , Hussain Syed Shah Irfan , Hongjin Wang 
Published: March 2021

Abstract
A triple-band ±45° dual-polarized dipole antenna is presented in this paper. The proposed antenna covers two bands from n77 and one from n79 5G NR frequency spectrums. The profile antenna exhibits the measured impedance bandwidths 3.6-3.85 GHz, 4.05-4.2 GHz and 4.8- 5.15 GHz with S11, S22 < -
15dB return loss. Antenna is fabricated with four substrates; one radiator, one reflector and two feeding baluns. Antenna is designed and optimized with HFSS simulator and fabricated for experimental verification. Antenna gives a stable radiation pattern with 8.55dBi high gain and 70° half power beam width (HPBW) that makes it a good candidate for wireless 5G sub-6 GHz and multiband base station applications. Finally, antenna is tested in a realistic application environment to show the utility of the proposed antenna for wireless sub-6 GHz IoT applications.
Ultrasound-guided implantation of radioactive 125 I seed in radioiodine refractory differentiated thyroid carcinoma
Authors: Chen Wei , Luo Yu Kun , Zhang Ying , Song Qing , Tang Jie 
Published: March 2021

Abstract
Background: Treatment for radioiodine refractory differentiated thyroid carcinoma (RR-DTC) is challenging. The purpose of this study was to assess the efficacy and safety of ultrasound-guided implantation of radioactive 125I-seed in radioiodine refractory differentiated thyroid carcinoma.Methods: 36 cervical metastatic lymph nodes (CMLNs) diagnosed as RR-DTC from 18 patients were enrolled in this retrospective study. US and contrast-enhanced ultrasound (CEUS) examinations were performed before implantation. Follow-up consisted of US, CEUS, thyroglobulin (Tg) level and routine hematology at 1-3, 6, 9 and 12 months and every 6 months thereafter. The volumes of the nodules were compared before implantation and at each follow-up point. The volume reduction rate (VRR) of nodules was also recorded.Results: The median volume of the nodules was 522.8 mm3 (147.5, 2009.6mm3) initially, which decreased significantly to 53.0mm3 (0, 285.7mm3) (P < 0.01) at the follow-up point of 24 months with a mean VRR as 87.4±18.1% (the range was 32–100%). During the follow-up period (the range was 24–50 months), 25 (69%) nodules had VRR greater than 90%, of which 12 (33%) nodules had VVR≈100% with structures unclear and only 125I seeds images visible. At the last follow-up visit, the serum Tg level decreased from 57.0 (8.6, 114.8) ng/ml to 4.9 (0.7, 50.3) ng/ml, (P < 0.01).Conclusion: US-guided 125I seed implantation is safety and efficacy in treating RR- DTC. It could be an effective supplement for the comprehensive treatment of thyroid cancer.