bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Ultrahigh-Temperature-Resistant Preformed Particle Gels for Conformance Control in North Sea Reservoirs
Authors: Schuman Thomas , Salunkhe Buddhabhushan , Al Brahim Ali , Bai Baojun 
Published: July 2022

Summary
Preformed particle gels (PPGs) are 3D, crosslinked, dried polymer particles that can swell to several hundred times on contact with formation water. PPGs have been used extensively to control water production problems in reservoirs with conformance problems. The current state-of-the-art PPGs are polyacrylamide-based hydrogel compositions which lack long-term thermal stability under high-temperature and -salinity conditions. There are many oil reservoirs across the globe exhibiting conditions of temperatures higher than 120°C with high salinity. A novel ultrahigh-temperature-resistant PPG composition (DMA-SSS PPG) was designed to fill up the technology gap between existing polyacrylamide-based PPG technology that degrades readily over 110°C temperatures. DMA-SSS PPG exhibited excellent thermal stability for greater than 18 months in North Sea formation and formation water environments at 130°C. DMA-SSS PPG described herein showed swelling capacities of up to 30 times in different salinity North Sea brines. DMA-SSS PPG’s physiochemical properties like swelling, swelling rate, and rheological behavior were studied as a function of temperature and salinity. DMA-SSS PPGs showed excellent elastic modulus (G’) of about 3200 Pa in formation water of 90% water content. Thermostability of DMA-SSS PPGs was assessed at 130 and 150°C in North Sea brines with different salinity conditions. DMA-SSS PPGs proved to be stable for more than 18 months without losing molecular integrity. Thermostability was further confirmed through different metrics such as cross-polarization magic angle spinning carbon-13 nuclear magnetic resonance (CPMAS 13C NMR), thermogravimetric analysis (TGA), and morphology. Laboratory coreflood experiments were performed to demonstrate the plugging efficiency of open fractures and effectiveness in reducing the permeability. DMA-SSS PPG comprehensive evaluation confirms its novelty for excellent hydrothermal stability, thus can be used to control water production problems for mature reservoirs exhibiting conditions of high salinity and high temperature.
Upscaling Low-Salinity Benefit from Laboratory Scale to Field Scale: An Ensemble of Models with a Relative Permeability Uncertainty Range
Authors: Kazemi Nia Korrani Aboulghasem , Jerauld Gary Russell 
Published: July 2022

Summary
The distribution of low-salinity benefit for an ensemble of models is required to evaluate low-salinity enhanced oil recovery (OREC) projects. To enable this, low-salinity pseudorelative permeability curves are required to estimate the benefit of low-salinity waterflooding at the field level. We present how the low-salinity benefit can be propagated through an ensemble of full-field models in which each simulation case could have a set of distinctive high-salinity pseudos. A 0.5-ft vertical resolution sector and its 10-ft upscaled counterpart are used. Relative permeability curves and the low-salinity benefit from corefloods are used in the high-resolution sector to create profiles. Pseudohigh- and low-salinity curves are generated for the upscaled sector by history matching high-salinity and incremental low-salinity profiles.
Low-salinity benefit is typically measured from corefloods and the same benefit is often assumed at the field scale. Our results show that generating low-salinity curves for high-salinity pseudos using low-salinity benefit from corefloods slightly underestimates the true low-salinity benefit at field scale estimated from high-resolution models. This conclusion is consistent for two extreme relative permeability scenarios tested (i.e., a high-total-mobility unfavorable fractional flow and low-total-mobility favorable fractional flow). Including capillary pressure in high-resolution models was crucial. We would have come to another conclusion if we had not used capillary pressure in fine-grid simulation as approximately one-third of the benefit of low-salinity waterflooding was attributable to more favorable capillary pressure under low-salinity injection. We demonstrate how a set of high-salinity relative permeability data obtained from corefloods, which encompasses a range for fractional flow and total mobility, can be included in ensemble modeling appropriately and how low-salinity benefit could be estimated for such an ensemble. It is adequate to generate low-salinity curves for bounding high-salinity sets of curves. The bounding low-salinity curves can then be used to estimate low-salinity curve for any interpolated high-salinity curve. This workflow significantly simplifies the process of generating the distribution of low-salinity benefit corresponding to an ensemble of models which may be calibrated to limited history.
Wireless Power Transfer Analysis in MmWave Networks
Authors: Parida Samparna , Das Santos Kumar 
Published: July 2022

Abstract
This research article verifies the scope of utilization of a very favourable combination of Wireless power transfer (WPT) and millimeter wave (mmWave) communications technology using selective beamforming in a Multiple input single output (MISO) system consisting of a Hybrid access point (HAP) having an array antenna in downlink and a user having single antenna in the uplink. A specific mmWave extended NYUSIM Channel model used for good spatial consistency. The mmWave based wireless powered cooperative communication network (WPCCN) considered here serves the user equipment in the network by harvesting energy from the received signal to use it further to power their uplink transmissions. The scope of wireless power transfer in an mmWave channel has been verified and discussed based on the analysis made on the output performance parameters derived using an mmWave based novel NYUSIM channel simulator, i.e., NYUSIM Version 2.01. The output results derived from the simulation results with sufficient analysis on user requirements support the fact that the proposed work discovers a good scope of development in the mmWave based WPCCN. Ultimately it explores the design and validation of a robust self-sustainable communication network model for the future green communication network. Some important technical challenges and future research scopes are also discussed effectively.
Vehicular Network based Emergency Data Transmission and Classification for Health Care System using Support Vector Machine
Authors: Senapati Biswa Ranjan , Khilar Pabitra Mohan , Dash Tirtharaj , Swain Rakesh Ranjan 
Published: July 2022

Abstract
COVID-19 pandemic has created an emergency across the globe. The number of corona positive cases and death cases are still rising across the world. The government of all countries is taking various steps to control the infection of COVID-19. One of the steps to control the spreading of the coronavirus is to quarantine. But the number of active cases at the quarantine center is increasing day by day. Also, the doctors, nurses, and paramedical staff providing service to the people at the quarantine center are getting infected. This demands the automatic and regular monitoring of people at the quarantine center. This paper proposed a novel and automated method for the monitoring of people at the quarantine center by two phases. These are the health data transmission phase and health data analysis phase. The health data transmission phase involves component NIBs, RSUs, and vehicles. For the transmission of data from the quarantine center to the observation center, an effective route is determined using route value. The route-value is dependent on factors like density, shortest path, delay, vehicular data carrying delay, and attenuation. The analysis of health data is done by using multi-class SVM. Finally, simulation results are obtained for the two phases. The simulation results obtained for the health data transmission phase is E2E delay, number of network gaps, and packet delivery ratio. The health data analysis phase determines parameters such as precision, recall, accuracy, etc.
Design a Photonic Crystal Narrowband Band pass Filter for Fiber Optic Communication Applications
Authors: jawad mohammed , Abed Naseer Hwaidi 
Published: July 2022

Abstract
The optical communications have been the backbone of the most dramatic developments in telecommunications systems in the past two decades, so that the current world of communications is unthinkable without the infrastructure of fiber optic networks. Also, the speed and bandwidth of optical devices have expanded the development of optical telecommunication systems, so the design, simulation and fabrication of optical devices have become more and more respected by researchers in this field. In this paper, a design for optical narrow Band Pass Filter (BPF) using two-dimensional (2D) photonic crystals (PCs) is presented that are suitable for applications in optical fiber communications (third window) in Wavelength-Division Multiplexing (WDM) systems. BPF was simulated by a two-dimensional timing method (FDTD) Finite-difference time-domain (FDTD). Also, the plane-wave expansion (PWE) method was used to evaluate the bands and calculate the Photonic Band Gap. Simulation results show this desired structure, acts as a very sharp optical BPF in the central wavelength of 1550 nm (In order to minimize attenuation). Normal voltage transmission efficiency, full width at half maximum (FWHM), and Focal Plane Module (FPM) for proposed BPF were 94.8%, 2583 and 0.6 nm, respectively.
Efficient malicious node detection system for forest fire monitoring by trust calculation using EDENN algorithm in WSN environment
Authors: M Jamuna Rani , A Azhagu Jaisudhan Pazhani 
Published: July 2022

Abstract
Wireless Sensor network (WSN) works in exceedingly advanced surroundings wherever it's troublesome for folks to achieve or work. The forest fire observation is that the promising application in WSN. However within the WSN openness of nodes ends up in security threats at risk of numerous attacks of nodes that are denoted because the malicious nodes. Recognition of malicious node is the encounters Janus-faced by the sensors in WSN for any application, protection of fire observation knowledge is critical for save the wild life animals. Existing analysis ways aren’t absolutely save the network lifespan and correct detection. To resolve that downside this analysis methodology projected a completely unique method for malicious node detection in WSN surroundings for fire observation. The projected methodology consists of seven steps. At first, the sensor nodes are initialized then, the residual energy is calculated within the pre-processing stage. By the assistance of calculated price the cluster is created mistreatment NCD-KM. Then, in every cluster the malicious node is detected mistreatment EDENN, if the cluster has malicious node then the malicious node is severally hold on for stop the cluster. Then, the cluster head is chosen by mistreatment the GDSHO formula. Finally the data transmission is managed by cluster head and super cluster head. In experimental analysis the performance of the projected methodology is analyzed with the present analysis methodologies. Within the analysis the projected methodology attains higher performance than the present analysis methodologies.
Computer Simulation and Modeling the Metal to Insulating Transition of liquid Mercury via Pair, Empirical and Many-Body Potentials
Authors: Karimi hedayat 
Published: July 2022

Abstract
In this study Monte Carlo simulations were carried out to detect the metal insulator transition in liquid mercury by changing the static properties at microscopic scale. In the simulations pair, empirical, and many-body potentials governs metal–metal interactions in the canonical ensemble. The structural and thermodynamic changes over the wide of temperature range from 773 to 1773 K are described in the first coordination shell and residual internal energy, respectively. The results reveal that during the simulated heating process the properties undergo significantly change at 1673 K, which is in connection with the metal nonmetal transition in the liquid. These findings coincide with the experimental observations of this thermodynamic phenomenon. Notably, the free energy of association that renders the system to this thermodynamic state is estimated.
Comparison of mask leak and respiratory mechanics in synchronized versus decoupled chest compression in a newborn manikin model
Authors: Shah Dharmesh , Tracy Mark , Hinder Murray , Badawi Nadia 
Published: July 2022

Abstract
Purpose
Newborn mask ventilation technique requires skills, and effective resuscitation is essential for pulmonary gas exchange. The most effective compression to ventilation (C:V) ratio in newborn resuscitation is still contentious and there is no evidence of human data supporting the current 3:1 ratio. We aimed to study mask leak and respiratory mechanics comparing synchronized and decoupled chest compression on a newborn manikin model.
Methods
Twenty-eight neonatal staff members trained in newborn resuscitation were randomly paired to provide mask ventilation with chest compression in a synchronized (3:1) C:V ratio followed by decoupled chest compression (CC) at a rate of 120 compression to 60 inflations per minute. A Laerdal Advanced Life Support leak-free manikin and a 240-mL self-inflating bag were used. Respiratory mechanical data were collected and analysed.
Results
Decoupled CC provided significantly higher minute ventilation (825.3 mL/min) compared to 534.8 mL/min with the synchronized CC group (p < 0.0001). The mean mask leak (%) was 27.9 (CI 18.4–37.4) in the synchronized CC group and 25.3 (CI 17.6–33.1) in the decoupled CC group. Higher mean airway pressure was noted in the decoupled CC group.
Conclusion
Mask leak was unchanged with introduction of decoupled CC to a traditional 3:1 C:V ratio. However, decoupled CC provided significantly higher minute ventilation. Human studies to investigate the respiratory mechanics and hemodynamic effects of decoupled CC are needed.
Physical mapping of qDTH3 for heading date reveals the evolutionary history of cultivated rice
Authors: Ikegaya Tomohito , Shirasawa Kenta , Fujino kenji 
Published: July 2022

Abstract
Crop breeding programs can improve traits associated with desirable phenotypic characteristics to different local environmental conditions. In rice, such improvements were achieved depending on genetic diversity among local populations. Here, we examined whether differences in traits of elite varieties are due to genetic differences and from what the genetic differences are derived. Previously, we identified one quantitative trait locus associated with heading date, i.e., the quantitative trait locus for days to heading on chromosome 3 (qDTH3). Using 592 plants of the F2 generation, fine mapping narrowed the qDTH3 locus down to a 158-kb region of the corresponding rice reference genome. Based on the genome sequences of a 656-kb region including the qDTH3 locus among four Oryza species populations, we propose the historic evolutionary process of cultivated rice, considering nucleotide polymorphisms and intrapopulation recombination. Phenotypic differences in qDTH3 in elite varieties may be derived from a different lineage split from the ancestor.
Quantitative assessment of the microstructure of the mesorectum with different prognostic statuses by intravoxel incoherent motion diffusion-weighed magnetic resonance imaging
Authors: Lu Bao-Lan , Chen Yan , Wen Zi-Qiang , Liu Yi-Yan , Ma Yu-Ru , Que Yu-Tao , Zhang Zhi-Wen , Wu Xue-Han , Yu Shen-Ping 
Published: July 2022

Abstract
Background
The mesorectum surrounding the rectal provides an ideal substrate for tumour spread. However, preoperative risk assessment is still an issue. This study aimed to investigate the microstructural features of mesorectum with different prognostic statuses by intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI).
Methods
Patients with pathologically proven rectal adenocarcinoma underwent routine high-resolution rectal magnetic resonance imaging (MRI) and IVIM DWI sequences were recruited. The MRI-detected circumferential resection margin (mrCRM) and extramural vascular invasion (mrEMVI) were evaluated. IVIM parameters of the mesorectum adjacent to (MAT) and distant from (MDT) the tumour were measured and compared between and within the prognostic factor groups.
Results
The positive mrCRM (pMAT < 0.001; pMDT = 0.013) and mrEMVI (pMAT = 0.001; pMDT < 0.001) groups demonstrated higher D values in the MAT and MDT than the corresponding negative groups. Conversely, the positive mrCRM (p = 0.001) and mrEMVI (p < 0.001) groups both demonstrated lower f values in the MAT. Similarly, in the self-comparison between the MAT and MDT in the above subgroups, D showed a significant difference in all subgroups (p < 0.001 for all), and f showed a significant difference in the positive mrCRM (p = 0.001) and mrEMVI (p = 0.002) groups. Moreover, the MAT displayed a higher D* in the positive mrCRM (p = 0.014), negative mrCRM (p = 0.009) and negative mrEMVI groups (p < 0.001).
Conclusion
The microstructure of the mesorectum in patients with rectal cancer with poor prognostic status shows changes based on IVIM parameters. IVIM parameters might be promising imaging biomarkers for risk assessment of tumour spread in mesorectum preoperatively.
Functional Specialization and Coordination in the Amygdala-Hippocampus Circuit Support Working Memory
Authors: Li Jin , Cao Dan , Dimakopoulos Vasileios , Yu Shan , Xiao Xinyu , Imbach Lukas , Stieglitz Lennart , Sarnthein Johannes , Jiang Tianzi 
Published: July 2022

Abstract
Both the hippocampus and amygdala are involved in working memory (WM) processing. However, it is still an open question how the two structures interact to represent and maintain WM content. Here, we simultaneously recorded intracranial EEG from the amygdala and hippocampus of epilepsy patients while performing a WM task. Using a series of univariate, multivariate, and connectivity analyses, our results revealed a functional specialization of the amygdala-hippocampus circuit: The mnemonic representations in the amygdala were highly distinct and decreased from encoding to maintenance. The hippocampal representations, however, were less specific but remained stable in the absence of the stimulus. Furthermore, the amygdala and hippocampus coordinated their activity during WM: The hippocampal representation was reinstated in the amygdala during maintenance, with task induced information flow from the hippocampus to the amygdala. Importantly, the functional specificity and coordination were correlated only when they appeared in correct trials. Our study provides new evidence that successful WM processing in humans is associated with specialized and coordinated functions within the amygdala-hippocampus circuit.
Rank-Based Energy Efficient Key Management (RBE-EKM) Scheme Based Routing for Internet of Medical Things (IOMT)
Authors: M KRISHNAPRIYA , G ANGELINE PRASANNA , S ANBARASU 
Published: July 2022

Abstract
The growth in wireless services indicates the importance of wireless networks. Parameters in domains Specific Wireless Sensor Network (WSN) based applications such as infrastructure, physiological and activity monitoring are using the wireless services. Inactivity monitoring, the home care and hospital care Wireless IoT sensors devices continuously monitor and collect data. So, these devices consume lots of energy. With secure data transmission, the limited energy supply is the central issue in-home care and hospital care applications. This research focuses on restricted-energy utilization while monitoring users' postural activity information in homecare and hospital-care applications using IoT-based WSN devices (sensors). In this research, the Rank Based Energy Efficient key management (RBE-EKM) protocol is designed to discover an energy-efficient approach to transfer the sensor's data to the Base Station (BS). Initially, it assigns higher priority to the sensor nodes based on their emergency interrupt signals, and the shared key is allocated foremost to those prioritized nodes. This ranking key method establishes the secure routing path for these sensor nodes by verifying their shared secret key. The shared key-based security scheme is found in this research to prevent the WSN from node compromising attacks. The simulation analysis of the RBE-EKM protocol model shows that real-time data is successfully shared among the group of privileged Base Stations with minimum power consumption, delay, and throughput. Moreover, the experimental result proves that the proposed communication strategy, such as dynamic retransmit or rebroadcast decision control, significantly improves the performance of AODV protocol models.
Dual Band Vis-IR Absorber Using Bismuth Based Helical Metamaterial Surface
Authors: Agarwal Sajal , Srivast Gargi , Prajapati Yogendra Kumar 
Published: July 2022

Abstract
In this study authors worked to attain a metamaterial absorber for visible and infrared region using bismuth as its main constituent material. Proposed absorber would be used for various applications; solar cell, communication etc. To model the metamaterial surface, two different sets of materials are used to observe and compare the absorption, having metal-insulator-metal structure to observe the metamaterial. It is observed that proposed metamaterial layer having Al/TiO2/Bi, displays high absorption for two bands in different wavelength region with wide bandwidth. Absorption peaks are observed at 510 nm and 1590 nm. However, apart from the peaks, absorption is not less than 0.5 a.u. anywhere in the absorption spectrum, which depicts that this absorber can be used for whole wavelength range varies from 200 to 2500 nm. Designed absorber in this study also ensures the easy fabrication of the metamaterial surface due to its less complex design and small geometry, which ensures the stability of three dimensional structure.
A Circularly Polarized Wideband High Gain Antenna for THz Wireless Applications
Authors: Thami LCHHAB , GHZAOUI Mohammed EL 
Published: July 2022

Abstract
For several years, the fields of new technologies have been experiencing a real boom. The use of the terahertz band is an appropriate solution to meet the requirements of these technology. However, this technology has special requirements among which its antennas must have high bandwidth of few THz and achieve high gain for high productivity. In this paper, we will focus on the design and analysis of an antenna for THz technology. The antenna structure proposed in this work has better performance in terms of bandwidth and gain. In fact, multiples slots were added to the antenna to enhance the antenna’s bandwidth. in addition, to enhance the antenna performance in terms of gain and protect the antenna feed line against environmental jeopardies a thin layer as superstrate is used. The suggested antenna covers a wide − 10dB bandwidth from 0.9 THz to 17.3 THz with a peak gain of 12.8 dBi. Moreover, a VSWR less than 2 at the operating band is obtained. Furthermore, the suggested antenna has circular polarized radiations with an axial ration (AR) less than 3 dB over a wide band 13.6THz-17.3THz which mean that the proposed antenna is well suited for application where the transmitter and receiver are moving which is the most case for wireless system. Thus, the suggested THz antenna could be a successful choice for terahertz application like future high-speed short-range indoor wireless communication, explosive detections, arms detection, medical imaging, pharmaceutical analysis, and material characterization in the THz regime industrial inspections.