bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Study of the Deposition of Radioactive Nuclide (Aerosol) in Pressurized Water Reactor Steam Generator
Authors: Aadil Muhammad , Nawaz Rab , Shah Ajmal , Qureshi Kamran Rasheed 
Published: June 2021

Abstract
This research presents a numerical study of deposition efficiency and decontamination factor of the radioactive nuclide in steam generator tubes of a typical 325 MWel pressurized water reactor (PWR). To find out the deposition of aerosol, the discrete phase model (DPM) has been used. The flow has been characterized as compressible, adiabatic, turbulent and wall-bounded. When steam generator tube gets ruptured, the radioactive nuclides can escape from primary side and create a radioactive field on the secondary side. This can be harmful at the personnel working at the plant. Therefore, in order to ensure the safety of the plant and personnel, it is important to study the particles deposition on the wall of steam generator tubes. In the present study, a computational fluid dynamics (CFD) methodology has been first developed and validated with the published results. After methodology validation, it has been applied to the U-tube of a typical PWR steam generator. It has been observed that due to the action of centrifugal force near the bent, the velocity magnitude is high toward the inner wall and the flow separates at the bent entrance. Furthermore, the flow inside the tube is rotational with vortices throughout the domain due to the presence of the bent. Finally, the deposition efficiency and decontamination factor have been calculated and it has been observed that both increase with the increase in particle size due to inertial effects.
Optimization of Thermophotovoltaic Power System With a Spectrally Controlled Multi-Concentric Emitter
Authors: Kazim Ali Hussain , Salman Ali , Khan Abu Bakar , Shaukat Umer , Shabbir Aqsa 
Published: June 2021

Abstract
Thermophotovoltaic energy conversion is a solid-state thermal-to-electric energy conversion technique which uses only infrared light i.e., heat. Its maximum achieved efficiency by proper bandgap energy selection and utilizing spectral control strategies is merely 30% which is currently still low to be used as a standalone device for energy harvesting. Recently, researchers used molten metal storage and concentrated solar power (CSP) as an input to derive these thermophotovoltaic blocks. Such blocks usually consist of an emitter and a photovoltaic power converter which boosted the system efficiency by adding a silver-based reflector to bounce unused photons back to the emitter. In this work, we have demonstrated another means of photon recycling on the conversion efficiency by passing the radiations through spectral filters before incident on these cells. The spectral filters were selected by aiming at gaining maximum conversion efficiency and a cylindrical power block was used in order to reduce the conversion losses due to edge effects. The modified model in terms of geometrical shape and spectrally controlled filters was able to achieve a conversion efficiency up to 50% even without using the back surface reflectors (BSRs). This work provides the framework for a cheap and efficient alternative to the combined-cycle electric turbines currently used to convert heat into energy inside utility-scale concentrated solar power facilities. This work enables widespread use wherever solar energy is available in abundance.
A Novel Method to Enhance Oil Recovery by Inter-Fracture Injection and Production Through the Same Multi-Fractured Horizontal Well
Authors: He Youwei , Qiao Yu , Qin Jiazheng , Tang Yong , Wang Yong , Chai Zhi 
Published: June 2021

Abstract
Conventional enhanced oil recovery (EOR) approaches are inefficient in unconventional reservoirs. This paper provides a novel approach to enhance oil recovery from unconventional oil reservoirs through synchronous inter-fracture injection and production (SiFIP) and asynchronous inter-fracture injection and production (AiFIP). The compartmental embedded discrete fracture model (cEDFM) is introduced to simulate complex fracture geometries to quantitatively evaluate the performance of SiFIP and AiFIP. EOR performances using multiple producing methods are investigated (i.e., depletion, fluid flood, fluid Huff and Puff, SiFIP, and AiFIP). Higher cumulative oil production rates can be achieved by AiFIP and SiFIP. AiFIP yields the highest oil recovery factor, two times higher than depletion. Compared with SiFIP, AiFIP may be a preferred method when CO2/water resources are short. The impacts of fracture and injection parameters on oil production are discussed. The feasible well completions for AiFIP and SiFIP are provided. AiFIP (CO2) achieves the best EOR performance among different producing methods. This paper demonstrates the feasibility of SiFIP and AiFIP to improve oil recovery. The proposed methods improve flooding performance by transforming fluid injection among wells to among hydraulic fractures from the same multi-fractured horizontal well (MFHW), which is a promising EOR approach in unconventional oil reservoirs. The proposed EOR method (AiFIP-CO2) can improve oil recovery and mitigate the emission of CO2 as well as reduce the waste of water resources.
Thermodynamic and Comparative Analysis of Ejector Refrigeration Cycle and Absorption Refrigeration Cycle Integrated Wet Ethanol-Fueled HCCI Engine for Cogeneration of Power and Cooling
Authors: Siddiqui Mohd Asjad , Khaliq Abdul , Kumar Rajesh 
Published: June 2021

Abstract
This study attempted for the proposal and analysis of a combined cycle that consists of a wet ethanol-fueled and turbocharged homogeneous charge compression ignition (HCCI) engine coupled to ejector refrigeration cycle (ERC) and absorption refrigeration cycle (ARC) for the simultaneous generation of two distinct outputs, namely, power and refrigeration. Both first and second laws of thermodynamics were employed to develop a thermodynamic model, which has been applied to investigate the performance of combined cycle. Furthermore, performance of the combined cycle for ERC versus ARC was compared and assessed after altering operating parameters (turbocharger pressure ratio, turbocharger compressor efficiency, ambient temperature, and the entrainment ratio of ERC and generator temperature of ARC) to study their effect on engine power output, refrigeration load, exergy of refrigeration, and energy and exergy efficiencies of the cooling-power cogeneration cycle. Results show that the elevated pressure of turbocharger results in the enhancement of HCCI engine power and increase of the refrigeration of thermal load, simultaneously. However, the increasing ambient temperature shows the decline of HCCI engine efficiencies and energy efficiency of cogeneration, while the cogeneration cycle exergy efficiency is found increasing. Furthermore, the results are reported for the refrigeration performed by lithium bromide–water (LiBr–H2O)-operated ARC, and R134a- and R290-operated ERC, respectively. Mapping of exergy destruction for the presented cogeneration cycle discovered HCCI engine, boiler of ERC, generator of ARC, and catalytic convertor as the components of significant exergy destruction. Entrainment ratio and type of refrigerant employed in ERC and the generator temperature of ARC show a marginal impact on the COPs of these cycles.
A New Correlation of Heat Transfer Coefficients for Flow Boiling in Serrated Channels
Authors: Li Xiaohuan , Fang Xiande , Luo Zufen , Xu Lu , Shang Hongfeng 
Published: June 2021

Abstract
Compact plate-fin heat exchangers with serrated channels have been widely used in a variety of industrial systems. However, few correlations for flow boiling heat transfer in serrated channels are available in the literature, and their prediction accuracy needs to be improved. This paper presents a database containing 1184 experimental data points of saturated flow boiling heat transfer in serrated channels, which is compiled from six sources covered by eight published articles involving four fluids. The parameter range it covers is the hydraulic diameters from 1.19 to 5.15 mm, mass fluxes from 12.5 to 210 kg/(m2 s), heat fluxes from 6 to 83.4 kWm2, saturation pressures from 101.3 to 800 kPa, and vapor qualities from 0 to 0.96. Based on the database, nine existing correlations of flow boiling heat transfer coefficient (HTC) developed for serrated channels were evaluated. There are only three having the mean absolute deviation (MAD) less than 100% against the database, among which the best one has an MAD of 26.0%. A new HTC correlation for flow boiling in serrated channels is developed, which has an MAD of 13.7% and predicts 78.7% of the database within ± 20%, far better than the best existing one.
Material Transfer From Media to Head in Heat Assisted Magnetic Recording (HAMR)
Authors: Xiong Shaomin , Smith Robert , Dai Qing , Schreck Erhard 
Published: June 2021

Abstract
Heat assisted magnetic recording (HAMR) is one of the leading technologies for next generation magnetic recording. Laser heating is utilized in HAMR to achieve magnetic writing of the very high coercivity media. However, the high temperature environment creates several reliability challenges for the head disk interface (HDI). Material transfer within the HDI under HAMR conditions or emulated HAMR conditions has been studied by experiments and simulations. It is found that the material transfer is mainly driven by thermal gradient and mechanical interaction such as head disk contact. In this paper, we designed an experiment to investigate the material transfer from HAMR media to a flying magnetic head. It shows that thermal gradient, more specifically a hotter media and cooler head, is the driving force for the material accumulation on the head. Furthermore, we calibrated the media temperature by a phase change material to identify the critical temperature that triggers the material transfer process. This study is important to understand the smear formation mechanism in HAMR drives.
TCN Units, Solution in Recognition of Human Activities
Authors: Radulescu Bogdan Alexandru , Florea Adina Magda , Radulescu Victorita 
Published: June 2021

Abstract
Activities and human faces recognition infrastructure are used everywhere behavior analysis is required. Since a video approach is built over an already existing infrastructure comprised of CCTV-Closed Circuit Television and a central computer, it can be used in any space where actions’ monitoring is necessary. Main objective of this paper consists of building a reliable and lightweight human faces and actions’ recognition classifier, able to classify a large number of actions, lightweight enough that it can work in real time. It processes at least 30 frames per second, using of-the-shelf computer hardware, connected to a normal CCTV infrastructure. The temporal convolutional network - TCN represents a viable solution for a proposed problem. It classifies a large number of actions - 60, using only RGB (red-green-blue) images of fairly low resolution, in real time. Deciding which class of action belongs to should not be connected to environment, background, person, view angle, or other specific identifiers. This selection should be associated only with the person executing it and the spatial-temporal context of the person. As technology and processing power improve, the problem slightly shifts. When more processing power to a system is added, in this model is possible either to increase the number of frames per second or the number of cameras in the infrastructure, or to increase the quality of the images, resulting most likely higher accuracy of the predictions. This model can be extended to a larger number of classes, with a minimal impact on performance. The proposed model has a tested accuracy of 82% which can be attributed to the recurrent property of the network. The model performs close to the most performing existing solutions. The present TCN + 3D Convolution Model is built with the smaller TCN units. Its architecture uses an alternation of a Simple Unit and a Complex Unit, in order to maximize the diversity of features the model learns. This paper illustrates a deep learning classifier based on TCNs for human actions recognition. Is relatively lightweight compared to other methods, and performs very well, competing with the best architectures. Ideally, it is able to classify an action irrespective of the person executing it or the environment where it was executed. This is achieved as much as possible through a diverse dataset on which the model is trained and tested, namely NTU RGB+D. After a simple and a complex unit, an Average Pool 3D layer reduces at least one dimension to half.
Experimental and Numerical Investigation of Heat Transfer Through Porcine Heart and Esophageal Tissue
Authors: Morris Karcher , Hu Shengfan , Kohanfars Matthew , Talke Frank E. 
Published: June 2021

Abstract
Atrial fibrillation is a heart condition commonly treated by cardiac ablation procedures. Since the esophagus is positioned in close proximity to the heart, esophageal thermal damage can occur during ablation. In this study, we investigate the temperature rise on the inner esophagus surface using a 2D temperature sensor array. An experimental study was performed to measure temperature by the sensor array placed on inner porcine esophagus tissue as a constant temperature heat source is applied to the inner porcine atrial tissue. A numerical model was developed to complement the experimental study.
A High-Resolution and Low Offset Delta-Sigma Analog to Digital Converter for Detecting Photoplethysmography Signal
Authors: Pribadi Eka Fitrah , Pandey Rajeev Kumar , Chao Paul C.-P. 
Published: June 2021

Abstract
A high-resolution, low offset delta-sigma analog to digital converter for detecting photoplethysmography (PPG) signal is presented in this study. The PPG signal is a bio-optical signal incorporated with heart functionality and located in the range of 0.1–10 Hz. The location to get PPG signal is on a pulsating artery. Thus the delta-sigma analog-to-digital (DS ADC) converter is designed specifically in that range. However, the DS ADC circuitry suffers from 1/f noise under 10 Hz frequency range. A chopper based operational amplifier is implemented in DS ADC to push the 1/f noise into high-frequency noise. The dc offset of the operational amplifier is also pushed to the high-frequency region. The DS ADC circuitry consists of a second-order continuous-time delta-sigma modulator. The delta-sigma modulator circuitry is designed and simulated using TSMC 180 nm technology. The continuous-time delta-sigma modulator active area layout is 746μm × 399 μm and fabricated using TSMC 180 nm technology. It operates in 100 Hz bandwidth and 4096 over-sampling ratios. The SFDR of the circuit is above 70 dB. The power consumption of the delta-sigma modulator is 35.61μW. The simulation is performed in three different kinds of corner, SS, TT, and FF corner, to guarantee the circuitry works in different conditions.
Multiple Point Loading on Thin Cantilever Rectangular Plate Subjected to Pure Bending
Authors: Hase Aniket Anil , Chang Jen-Yuan (James) 
Published: June 2021

Abstract
In the applications of pure bending of thin cantilever plates, unlike a beam, twisting arises with the bending unless it is accomplished to pure bending. This paper emphases the theoretical study of the integration of multiple point loadings (vertical and Inclined) over the thin plate to eliminate the twisting and predict the definite bending for the linearly elastic material. The cantilever plate is further studied through numerical simulations using finite element analysis (FEA) in ANSYS. This FEA helps to finalize the type of modelling approach that predicts large deflection’s behaviour agreeing closely with theoretical solutions. Also, in the experimental procedure, various artificial intelligence (A.I.) techniques can reduce complexity; minimize the dependence on humans, and improve design efficiency. The process presented in this paper is inspired by Euler’s classical beam theory (moment-curvature relationship) and ANN, which approximates the problem and compensates the errors.
Advance Monitoring of Blood Pressure and Respiratory Rate Using De-Noising Auto Encoder
Authors: Park Seung-Ho , Park Kyoung-Su 
Published: June 2021

Abstract
As the importance of continuous vital signs monitoring increases, the need for wearable devices to measure vital sign is increasing. In this study, the device is designed to measure blood pressure (BP), respiratory rate (RR), and heartrate (HR) with one sensor. The device is in earphone format and is manufactured as wireless type using Arduino-based bluetooth module. The device measures pulse signal in the Superficial temporal artery using Photoplethysmograghy (PPG) sensor. The device uses the Auto Encoder to remove noise caused by movement, etc., contained in the pulse signal. Extract the feature from the pulse signal and use them for the vital sign measurement. The device is measured using Slope transit time (STT) method for BP and Respiratory sinus arrhythmia (RSA) method for RR. Finally, the accuracy is determined by comparing the vital signs measured through the device with the reference vital signs measured simultaneously.
Reproducibility of the Rotor 2INpower Crankset for Monitoring Cycling Power Output: A Comprehensive Analysis in Different Real-Context Situations
Authors: Rodríguez-Rielves Víctor , Martínez-Cava Alejandro , Buendía-Romero Ángel , Lillo-Beviá José Ramón , Courel-Ibáñez Javier , Hernández-Belmonte Alejandro , Pallarés Jesús G. 
Published: June 2021

Purpose: To examine the reproducibility (intradevice and interdevice agreement) of the Rotor 2INpower device under a wide range of cycling conditions. Methods: Twelve highly trained male cyclists and triathletes completed 5 cycling tests, including graded exercise tests at different cadences (70–100 rpm), workloads (100–650 W), pedaling positions (seated and standing), and vibration conditions (20–40 Hz) and an 8-second maximal sprint (>1000 W). An intradevice analysis included a comparison between the power output registered by 3 units of Rotor 2INpower, whereas the power output provided by each one of these units and the gold-standard SRM crankset were compared for the interdevice analysis. Among others, statistical calculations included the standard error of measurement, expressed in absolute (in watts) and relative terms as the coefficient of variation (CV). Results: Except for the graded exercise test seated at 100 rpm/100 W (CV = 10.2%), the intradevice analysis showed an acceptable magnitude of error (CV ≤ 6.9%, standard error of measurement ≤ 12.3 W) between the 3 Rotor 2INpower. Similarly, these 3 units showed an acceptable agreement with the gold standard in all graded exercise test situations (CV ≤ 4.0%, standard error of measurement ≤ 13.1 W). On the other hand, both the intradevice and interdevice agreements proved to be slightly reduced under high cadences (intradevice: CV ≤ 10.2%; interdevice: CV ≤ 4.0%) and vibration (intradevice: CV ≤ 4.0%; interdevice: CV ≤ 3.6%), as well as during standing pedaling (intradevice: CV ≤ 4.1%; interdevice: CV ≤ 2.5%). Although within the limits of an acceptable agreement, measurement errors increased during the sprint tests (CV ≤ 7.4%). Conclusions: Based on these results, the Rotor 2INpower could be considered a reproducible tool to monitor power output in most cycling situations.
Icelandia
Authors: Foulger Gillian R. , Gernigon Laurent , Geoffroy Laurent 
Published: June 2021

ABSTRACT
We propose a new, sunken continent beneath the North Atlantic Ocean that we name Icelandia. It may comprise blocks of full-thickness continental lithosphere or extended, magma-inflated continental layers that form hybrid continental-oceanic lithosphere. It underlies the Greenland-Iceland-Faroe Ridge and the Jan Mayen microplate complex, covering an area of ~600,000 km2. It is contiguous with the Faroe Plateau and known parts of the submarine continental rifted margin offshore Britain. If these are included in a “Greater Icelandia,” the entire area is ~1,000,000 km2 in size. The existence of Icelandia needs to be tested. Candidate approaches include magnetotelluric surveying in Iceland; ultralong, full-crust-penetrating reflection profiling along the length of the Greenland-Iceland-Faroe Ridge; dating zircons collected in Iceland; deep drilling; and reappraisal of the geology of Iceland. Some of these methods could be applied to other candidate sunken continents that are common in the oceans.
Clinicopathological features and outcomes of coexistent light chain cast nephropathy and light chain deposition disease in patients with newly diagnosed multiple myeloma
Authors: Lin Zi-Shan , Zhang Xu , Li Dan-Yang , Yu Xiao-Juan , Qin Ai-Bo , Dong Yujun , Zhou Fu-De , Wang Suxia , Zhao Ming-Hui 
Published: June 2021

AimsA varying proportion of patients with multiple myeloma suffer from more than one type of kidney disease simultaneously, of which the most common pattern is coexistent light chain cast nephropathy and light chain deposition disease (LCCN+LCDD). We investigated clinicopathological characteristics and outcomes of LCCN+LCDD in comparison with pure LCCN and pure LCDD.MethodsWe retrospectively analysed 45 newly diagnosed multiple myeloma patients with pure LCCN (n=26), LCCN +LCDD (n=9) and pure LCDD (n=10) between 2000 and 2019 at Peking University First Hospital.ResultsPathologically, patients with LCCN+LCDD were more likely to have λ light chain isotype and presented atypical features of LCDD including less nodular glomerulosclerosis and less deposit distribution than patients with pure LCDD. In clinical characteristics, patients with LCCN +LCDD and patients with pure LCCN shared similar features. The death-censored renal survival in patients with LCCN +LCDD was similar to patients with pure LCCN but worse than patients with pure LCDD, but the overall survival was much better than patients with LCCN alone and similar to patients with pure LCDD. For patients with pure LCCN, the independent predictor of death-censored renal survival was lactate dehydrogenase, and the independent predictors of overall survival were the mean number of casts and serum albumin.ConclusionsPatients with LCCN+LCDD had similar renal outcome compared with patients with pure LCCN but the overall survival is much better. Thus, for patients with LCCN, especially those with λ restriction, pathologists should carefully evaluate the kidney specimens to exclude the possibility of combined LCDD.