bluuebunny/crossref_metadata_2025_split huggingface dataset:
Boron-doped TiO2 (B-TiO2): visible-light photocatalytic difunctionalization of alkenes and alkynes
Authors: Hosseini-Sarvari Mona , Valikhani Atefe 
Published: June 2021

Boron-doped TiO2 (B-TiO2) was prepared, characterized, and applied as a reusable, inexpensive, and available heterogeneous nanophotocatalyst under visible light for the synthesis of phenacyl thiocyanates.
Optimal distributed generation and battery energy storage units integration in distribution systems considering power generation uncertainty
Authors: Khasanov Mansur , Kamel Salah , Rahmann Claudia , Hasanien Hany M. , Al‐Durra Ahmed 
Published: June 2021

AbstractThis paper proposes an application of the recent metaheuristic rider optimization algorithm (ROA) for determining the optimal size and location of renewable energy sources (RES) including wind turbine (WT), photovoltaic (PV), and biomass‐based Distributed Generation (DG) units in distribution systems (DS). The main objective function is to minimize the total power and energy losses. Power loss‐sensitivity factor (PLSF) is used with the ROA to determine the suitable candidate buses and accelerate the solution process. The Weibull and Beta probability distribution functions (PDF) are employed to characterize the variability of wind speed and solar radiation, respectively. The high penetration of intermittent renewable resource together with demand variations has introduced many challenges to distribution systems such as power fluctuations, voltage rise, high losses, and low voltage stability, therefore battery energy storage (BES) and dispatchable Biomass are considered to smooth out the fluctuations and improve supply continuity. The standard 33 and 69‐bus test systems are used to verify the effectiveness of the proposed technique compared with other well‐known optimization techniques. The results show that the developed approach accelerates to the near‐optimal solution seamlessly, and in steady convergence characteristics compared with other techniques.
Research on influence factors of corona onset characteristics of AC grading rings based on three‐dimensional calculation physical model
Authors: Huang Shilong , Yan Xiaoliang , Liu Yunpeng , Zhang Guangzhou , Tang Jian , Liu Chen , Li Yongshuang , He Wangling 
Published: June 2021

AbstractIn order to obtain the influence laws and mechanisms of size parameters (ring diameter and pipe diameter) of the grading ring and environmental parameters (atmospheric pressure, temperature, and humidity) on corona onset characteristics of a grading ring, a three‐dimensional (3‐D) calculation physical model of corona onset considering the influence of size parameters of the grading ring and environmental parameters is established by proposing an area factor of a photon absorption function suitable for the grading ring. Combined with the thickness of ionised layer and the effective ionisation coefficient, the influence mechanisms of size parameters of the grading ring and environmental parameters on corona onset characteristics are given. The calculation results show that with the increase of the pipe diameter and ring diameter, the corona onset voltage increases gradually and the corona onset field intensity decreases gradually. The increase of the effective ionisation coefficient leads to the expansion of ionisation region, which leads to the decrease of corona onset voltage with the decrease of atmospheric pressure and the increase of temperature. The enhancement of capacity for collisional ionisation in the region with the high field intensity leads to the decrease of corona onset voltage with the increase of humidity.
Integral equation modelling of unmanned aerial vehicle radar scattering characteristics in VHF to S frequency bands
Authors: Zalevsky Gennady S. , Sukharevsky Oleg I. , Vasylets Vitaly A. 
Published: June 2021

AbstractMethods for modelling the radar scattering characteristics of resonance‐size airborne objects containing metallic and dielectric design elements are discussed. The developed algorithms are based on solving Fredholm second‐kind boundary integral equations (IEs) that place them within the context of the method of analytical regularisation. The magnetic field IE is used for metal elements, and the Müller IE set is used for dielectric elements. The proposed algorithms provide important novelties in calculating the radar scattering characteristics of objects with various curvature radii, including electrically thin scatterers. The description is accompanied by an analysis of developed algorithm convergence. For the validation, a comparison of results for model object obtained by different methods is presented. The results of modelling the radar scattering characteristics of an unmanned aerial vehicle and its separate metallic and dielectric elements within the VHF and S frequency bands are demonstrated and discussed.
Diastereoselective Synthesis of Morpholine Derivatives from Grignard Reagents and N-Sulfinyl Imines
Authors: Bateman Joseph M. , Chan Diana , Moroglu Mustafa , Rahemtulla Benjamin F. , Talbot Eric P. A. 
Published: June 2021

AbstractThe stereoselective synthesis of substituted morpholine derivatives has been achieved through a two-step process involving diastereoselective addition of a Grignard reagent to a sulfinyl imine, followed by cyclization.
Personal Protective Equipment-Related Nasal Bridge Folliculitis in a Corona Warrior
Authors: Sharma Rajeev , Bindra Ashish , Soni Kapil Dev 
Published: June 2021

AbstractNasal bridge is a common site suffering personal protective equipment-induced skin damages over face among first-line health care workers in this coronavirus disease 2019 pandemic. We hereby report folliculitis as a complication following regular use of N95 respirator and goggles, unreported in literature till now.
Ensure an “Ultrasound Window” on the Patient's Neck to Evaluate Cerebral Blood Flow!
Authors: Yamamoto Tomohiro , Mishima Takehito , Shiraishi Shuichi , Saito Takeshi , Schindler Ehrenfried 
Published: June 2021

AbstractNear-infrared spectroscopy (NIRS) does not provide information about changes in oxygenation in whole-brain areas. Although the branching vessels of the aortic arch are not always easy to identify using transesophageal echocardiography (TEE), the blood flow status of cervical arteries can always be assessed by applying an ultrasound probe via the “ultrasound window” on the patient's neck, which can be ensured by devising alternative insertion approaches of the central venous catheter. This method is very simple but compensates for the limitations of the combination of NIRS and TEE, especially during cardiac surgery with cardiopulmonary bypass management using selective cerebral perfusion.
Contemporary Clinical Use of Aspirin: Mechanisms of Action, Current Concepts, Unresolved Questions, and Future Perspectives
Authors: Christiansen Mikael , Grove Erik Lerkevang , Hvas Anne-Mette 
Published: June 2021

AbstractThe ability of aspirin to inhibit platelet aggregation has positioned this agent within the most frequently used drugs worldwide. The aim of this article is to review the contemporary clinical use of aspirin and also to discuss unresolved issues not yet translated into clinical practice. Results from several clinical trials have led to strong guideline recommendations for aspirin use in the acute management and secondary prevention of cardiovascular disease. On the contrary, guidelines regarding aspirin use as primary prevention of cardiovascular disease are almost conservative, supported by recent trials reporting that the bleeding risk outweighs the potential benefits in most patients. In pregnancy, aspirin has proved efficient in preventing preeclampsia and small-for-gestational-age births in women at high risk, and is hence widely recommended in clinical guidelines. Despite the vast amount of clinical data on aspirin, several unresolved questions remain. Randomized trials have reported that aspirin reduces the risk of recurrent venous thromboembolism, but the clinical relevance remains limited, because direct oral anticoagulants are more effective. Laboratory studies suggest that a twice-daily dosing regimen or evening intake may lead to more efficient platelet inhibition, and the potential clinical benefit of such strategies is currently being explored in ongoing clinical trials. Enteric-coated formulations of aspirin are frequently used, but it remains unclear if they are safer and as efficient as plain aspirin. In the future, aspirin use after percutaneous coronary interventions might not be mandatory in patients who also need anticoagulant therapy, as several trials support shorter aspirin duration strategies. On the other hand, new treatment indications for aspirin will likely arise, as there is growing evidence that aspirin may reduce the risk of colorectal cancer and other types of cancer.
Anti-Xa Monitoring of Low-Molecular-Weight Heparin during Pregnancy: A Systematic Review
Authors: Kjaergaard Amalie Baun , Fuglsang Jens , Hvas Anne-Mette 
Published: June 2021

AbstractLow-molecular-weight heparin (LMWH) is commonly used for preventing or treating venous thromboembolic disease (VTE) during pregnancy. The physiological changes in maternal metabolism have led to discussions on optimal LMWH dosing strategy and possible need for monitoring. The aim of this systematic review is to summarize and discuss whether LMWH dose adjustment according to anti-Xa provides superior effectiveness and safety compared with weight adjusted or fixed dosed LMWH in pregnant women. A systematic literature search was performed in PubMed, Embase, and Scopus on September 26, 2020. The study is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Effectiveness was defined as episodes of thrombosis and safety as bleeding episodes. In total, 33 studies were included: 4 randomized controlled studies and 29 cohort studies. Prophylactic dosing strategies employing weight dosed, fixed dosed, or anti-Xa adjusted LMWH dosing performed equal in effectiveness and safety. In pregnant women with VTE or high thromboembolic risk, therapeutic weight–adjusted LMWH and weight plus anti-Xa-adjusted LMWH provided equal results in terms of effectiveness and safety. Pregnant women with mechanical heart valves (MHVs) received therapeutic anti-Xa-adjusted LMWH with four out of seven studies presenting mean peak anti-Xa within target ranges. Still, pregnant women with MHV experienced both thrombosis and bleeding with anti-Xa in target. Based on the results of this systematic review, current evidence does not support the need for anti-Xa monitoring when using LMWH as thromboprophylaxis or treatment during pregnancy. Nonetheless, the need for anti-Xa monitoring in pregnant women with MHV may need further scrutiny.
Chemotherapy-Induced Nausea and Vomiting in Gastrointestinal Cancer Patients: Do We Need to Revisit Guidelines?
Authors: Kapoor Akhil , Jain Ashutosh , Sharma Abhishek , Shah Minit , Chinthala Shravan , Nandhana Ravindra , Bhargava Prabhat , Ramaswamy Anant , Srinivas Sujay , Ostwal Vikas 
Published: June 2021

Abstract
Purpose The objective of this study was to assess the proportion of patients developing chemotherapy-induced nausea and vomiting (CINV) after receiving chemotherapy for gastrointestinal (GI) cancers, despite receiving antiemetic prophylaxis (AEP) as per the standard guidelines.
Patients and Methods Between April 2019 and March 2020, all patients planned for chemotherapy were eligible for enrolment in the study. The primary endpoint of the study was the assessment of complete response (CR) rates.
Results Overall, 1,276 consecutive patients were screened for this study, while 738 patients fulfilling the eligibility criteria were included. A total of 23.2% of the whole cohort failed to achieve CR. Also, 28.2, 16.9, and 16.6% of patients receiving moderately emetogenic chemotherapy (MEC), low emetogenic chemotherapy (LEC), and high emetogenic chemotherapy (HEC), respectively, failed to achieve CR. The differences in failure to achieve CR was statistically significant between MEC and HEC (p < 0.001) groups. Among MEC group, there was no difference between those who received oxaliplatin (27.8%) versus nonoxaliplatin regimens (25.8%) in terms of failure rates (p = 0.613).
Conclusion Approximately one-fourth of patients failed to achieve a complete response from CINV in GI cancers despite using guideline-based AEP. Patients receiving MEC had the highest failure rates suggesting a need to improve AEP in these patients.
Toward a Liver Cell Atlas: Understanding Liver Biology in Health and Disease at Single-Cell Resolution
Authors: Ma Lichun , Khatib Subreen , Craig Amanda J. , Wang Xin Wei 
Published: June 2021

AbstractSingle-cell technologies are revolutionizing our understanding of cellular heterogeneity and functional diversity in health and disease. Here, we review the current knowledge and advances in liver biology using single-cell approaches. We focus on the landscape of the composition and the function of cells in a healthy liver in the context of its spatial organization. We also highlight the alterations of the molecular landscape in chronic liver disease and liver cancer, which includes the identification of disease-related cell types, altered cellular functions, dynamic cell–cell interactions, the plasticity of malignant cells, the collective behavior of a cell community, and microenvironmental reprogramming. We anticipate that the uncovered liver cell atlas will help deciphering the molecular and cellular mechanisms driving a healthy liver into a disease state. It also offers insight into the detection of new therapeutic targets and paves the way for effective disease interventions.
KdV solves BKP
Authors: Alexandrov Alexander 
Published: June 2021

Significance
Integrable systems constitute an essential part of modern mathematics and theoretical physics. Interrelations between different integrable systems allow us to uncover unexpected relations between various mathematical and physical problems and eventually, to solve them. This paper provides a simple and surprising relationship between two classical integrable systems—the Korteweg–de Vries (KdV) and type B Kadomtsev–Petviashvili (BKP) hierarchies.
Agenda selfying and agendamelding
Authors: Bantimaroudis Philemon 
Published: June 2021

Abstract
This essay examines the notion of personal salience, introducing individual online media users as ‘objects’ in the
context of agenda setting theory. The salience of the self has been investigated by scholars in various interdisciplinary
explorations. In this project, the notion of personal salience is revisited from an agendamelding perspective. Along with
political and civic agendas of individuals that meld in online community environments, individuals promote themselves as agendas
that deserve public attention. Examining personal agendas raises new questions about perceptional and behavioral influences as
ordinary individuals strive to establish their mediated presence.
VAMANA: modeling binary black hole population with minimal assumptions
Authors: Tiwari Vaibhav 
Published: June 2021

Abstract
The population analysis of compact binaries involves the reconstruction of some of the gravitational wave (GW) signal parameters, such as, the mass and the spin distribution, that gave rise to the observed data. This article introduces VAMANA, which reconstructs the binary black hole population using a mixture model and facilitates excellent density measurement as informed by the data. VAMANA uses a mixture of weighted Gaussians to reconstruct the chirp mass distribution. We expect Gaussian mixtures to provide flexibility in modeling complex distributions and enable us in capturing details in the astrophysical chirp mass distribution. Each of the Gaussian in the mixture is combined with another Gaussian and a power-law to simultaneously model the spin component aligned with the orbital angular momentum and the mass ratio distribution, thus also wing us to capture their variation with the chirp mass. Additionally, we can also introduce broadband smoothing by restricting the Gaussian mixture to lie within a threshold distance of a predefined reference chirp mass distribution. Using simulated data we show the robustness of our method in reconstructing complex populations for a large number of observations. We also apply our method to the publicly available catalog of GW observations made during LIGO’s and Virgo’s first and second observation runs and present the reconstructed mass, spin distribution, and the estimated merger rate of binary black holes.
Comprehensive understanding of the ignition process of a pulsed capacitively coupled radio frequency discharge: the effect of power-off duration
Authors: Wang Xiang-Yu , Liu Jia-Rui , Liu Yong-Xin , Donkó Zoltan , Zhang Quan-Zhi , Zhao Kai , Schulze Julian , Wang You-Nian 
Published: June 2021

Abstract
The effect of the pulse-off duration on the time evolution of the plasma and electrical parameters during the ignition phase in a pulsed capacitively coupled radio frequency argon discharge operated at 450 mTorr and 12.5 MHz is investigated synergistically by multifold experimental diagnostics, particle-in-cell/Monte Carlo collision simulations and an analytical model. In the experiment, the electron density is measured time-resolved by a hairpin probe, the spatio-temporal distribution of the electron impact excitation dynamics is studied by phase resolved optical emission spectroscopy, and the amplitudes and the relative phase, φ
vi, of the discharge voltage and current are determined based on the waveforms measured by a voltage and a current probe. The experimental results show that the plasma and electrical parameters during the ignition process depend strongly on the duration of the afterglow period, T
off, primarily because of the dependence of the remaining charge density on this parameter. Computed values of φ
vi show a similar time-dependence compared to the experiment, if the simulations are initialized with specific initial charged particle densities, n
ini. This allows us to further understand the time evolution of φ
vi for different values of T
off based on the simulation results together with an analytical model. In particular, the optical emission intensity is found to change with time in the same fashion as the power deposition into the system at T
off ⩾ 100 μs, suggesting that the power is primarily absorbed by the electrons, which dissipate their energy via inelastic collisions. The system goes through different mode transitions of electron power absorption during the ignition phase depending on T
off. Specifically, for short T
off (high n
ini), the α mode dominates during the entire ignition process, as the electric field is largely shielded by the abundant charge located in the interelectrode space. For intermediate values of T
off (moderate n
ini), another excitation pattern caused by an enhanced drift electric field at the center of the gap is observed, since a large fraction of the externally applied potential can penetrate into the central region in the absence of high charged particle densities. For longer T
off (very low n
ini), the ignition of the pulsed plasma behaves like a gas breakdown.
Tracking System Using Artificial Neural Network for FPGA Cart Follower
Authors: Ahmad M F , Alhady S S N , Moi C C , Wahab A A A , Othman W A F W , Zahir A A M , Bakar E A 
Published: June 2021

Abstract
Wheelchair users may have difficulty carrying their luggage while travelling. A proposed solution is introduced based on the problem stated. A tracking system for cart followers introduced to improve wheelchair mobility while transporting their luggage. The cart will track and follow the wheelchair at an appropriate distance. A Camera acts as input to enable the cart to track and follow the wheelchair. Pixy CMUcam5 is used to detect the predefined colour code (CC) in this project. The visual-based sensor gathered the information of the CC, which situated behind the wheelchair and translated the collected data into relative position information, such as distance and skew angle, which helps the cart in following the wheelchair. This translation is done in the Artificial Neural Network (ANN). The type of ANN used is a Multilayer perceptron (MLP) with the Levenberg-Marquardt training algorithm. Log sigmoid (Logsig) and Pure linear (Purelin) activation functions used in the hidden and output layer, respectively. The errors for distances and angles after computed with ANN are presented accordingly in Simulink. The MSE value obtained is 0.14007. The ANN implemented in the Field Programmable Gate Array (FPGA). The implementation of the ANN on the FPGA done through software and hardware configuration. The time taken for hardware implementation is faster than software due to parallel computations. The error value for output distance is less than 0.8000, and 0.3000 for the output angle during the simulation.
Improving Energy Efficiency at Palm Oil Mill Industries
Authors: Noranai Zamri , Joharudin Nurul Farahin Mohd , Redzwan Muhammad Aliff Asyraf , Latif Noradila Abdul , Hassan Nur Zaha 
Published: June 2021

Abstract
Palm oil production has become one of the essential economical in Malaysia, where it is one of the world’s largest oil palm producer and exporter. The rapid growth of the palm oil mill as the primary product dominating Malaysian agriculture industries leads to the increasing of energy usage. However, the efficiency of electrical energy usage has been recognized as one of the significant factors to reduce the cost of electrical energy consumption. This research aims to determine the energy consumption of palm oil mill process and proposed improvement to its potential energy consumption. This research is limited to the energy efficiency improvement in one of Malaysia palm oil industry. The palm oil mill selection and the palm oil mill processes have been identifying in the early phases. Four main palm oil processes which are fruit bunch reception, sterilizing, threshing and pressing have been investigating to improve the energy efficiency. From the calculation of processing palm oil processes, the monthly electrical consumption was near to 127MWh. The result found that 31.49% of energy consumption can be reduced in a month by the selected palm oil mill processes by replacing the current motor to high-efficiency motor.
Characterisation of Colloidal Nanosilica Modified Asphalt binder
Authors: Samsudin Mohamad Saifullah , Arshad Ahmad kamil , masri Khairil azman , Rawi Siti Norsita , Hassan Hasmawati Mat , Mustakim Nurakmal Hayati 
Published: June 2021

Abstract
Nanosilica (NS) has been used in this study as an asphalt binder modifier to improve the binder properties. Penetration grade 60/70 (PEN 60/70) asphalt binder was modified with NS in colloidal form with an average size of 10 to 15 nanometer (nm). The nanosilica modified asphalt binders (NSMB) were tested for different tests such as physical properties, atomic force microscopy (AFM), dynamic shear rheometer (DSR), multiples stress creep and recovery (MSCR) and asphalt pavement analyser (APA). The result obtained from physical properties shows that the additions of NS significantly improve the properties of base asphalt binder in terms of penetration, softening point and viscosity. It was also found that NSMB is stable during the high temperature storage period. SEM images showed that NS particles dispersed well in base asphalt binder and AFM images showed that the addition of nanosilica in asphalt binder improved its surface stiffness. In addition, NSMB significantly increases the G*/sinδ value, failure temperature, and percentage creep recovery while, decreased the non-recoverable creep compliance, which indicated higher elasticity and beneficial in increasing the rutting resistance as compared to the base asphalt. On the other hand, from APA test, it was found that NSMB reduced the rutting depth of asphalt mixture. It can be concluded from the analysis that a maximum of 2% NS be added into the base asphalt for optimum binder modification.