bluuebunny/crossref_metadata_2025_split huggingface dataset:
Volatility linkages and value gains from diversifying with Islamic assets
Authors: Akhtar Shumi , Akhtar Farida , Jahromi Maria , John Kose 
Published: August 2023

AbstractIslamic assets, assets compliant with ethical and religious norms as codified in Sharia law, broaden the investor base. Do such investments contribute to mean-variance efficiency, and if so, how? Using daily data on stock, bond, and money market indices from nine Islamic countries and 37 non-Islamic ones from May 2007 to June 2010, we show that adding Islamic assets to an existing portfolio of conventional (non-Islamic) assets can expand the mean-variance frontier and thereby create additional value through diversification. The “specialness” of Islamic assets comes from a smaller set of common information and a lower degree of cross-market hedging between Islamic and conventional markets. This reduces volatility linkages between Islamic and conventional assets relative to volatility linkages between two conventional assets. Including one Islamic asset lowers volatility linkages by up to 3.16 percentage points after controlling for country-level fixed effects and time-varying characteristics. Low volatility linkages are key to increasing diversification benefits that arise from improvements in the global mean-variance portfolio. Our research contributes to the international business literature by highlighting the potential benefits of bridging religious, ethical, and cultural differences to add new markets to an incomplete international market structure and in so doing increase diversification benefits.
Design of tailored asthma control status infographics
Authors: Arcia Adriana , Spiegel-Gotsch Nicole , George Maureen 
Published: August 2023

Abstract
Infographics tailored with patients’ own health data are increasingly being used to support comprehension of
health status, particularly among patients with limited health literacy. However, best practices for this type of health
communication are still emerging and little is known about how some types of health data can be optimally displayed. We used an
iterative participatory design process to design tailored infographics to present subjective and objective measures of asthma
control status to adult patients in English and Spanish. Here, we document our design journey, reporting on the rationale for our
design choices and the successes and lessons learned during the project.
Micromachined piezoelectric Lamb wave resonators: a review
Authors: Lu Xianzheng , Ren Hao 
Published: August 2023

Abstract
With the development of next-generation wireless communication and sensing technologies, there is an increasing demand for high-performance and miniaturized resonators. Micromachined piezoelectric Lamb wave resonators are becoming promising candidates because of their multiple vibration modes, lithographically defined frequencies, and small footprint. In the past two decades, micromachined piezoelectric Lamb wave resonators based on various piezoelectric materials and structures have achieved considerable progress in performance and applications. This review focuses on the state-of-the-art Lamb wave resonators based on aluminum nitride (AlN), aluminum scandium nitride (Al
x
Sc1−x
N), and lithium niobate (LiNbO3), as well as their applications and further developments. The promises and challenges of micromachined piezoelectric Lamb wave resonators are also discussed. It is promising for micromachined piezoelectric Lamb wave resonators to achieve higher resonant frequencies and performance through advanced fabrication technologies and new structures, the integration of multifrequency devices with radio frequency (RF) electronics as well as new applications through utilizing nonlinearity and spurious modes. However, several challenges, including degenerated electrical and thermal properties of nanometer-scale electrodes, accurate control of film thickness, high thin film stress, and a trade-off between electromechanical coupling efficiencies and resonant frequencies, may limit the commercialization of micromachined piezoelectric Lamb wave resonators and thus need further investigation. Potential mitigations to these challenges are also discussed in detail in this review. Through further painstaking research and development, micromachined piezoelectric Lamb wave resonators may become one of the strongest candidates in the commercial market of RF and sensing applications.
Measuring the elliptical form of the Moon’s terminator curve and its illuminated area by direct and indirect methods
Authors: Caerols Hugo , Asenjo Felipe A , Ponce Mario 
Published: August 2023

Abstract
Because solar light, from Earth perspective, a curve is drawn in Moon’s surface that separates its dark side from the illuminated one. This curve is known as the terminator curve. In this article we prove, using direct and indirect methods, that the terminator curve corresponds to an ellipse. This is demonstrated using mathematical concepts and photographs of the Moon that are analysed with a geometrical software. Using this information, we also show how to calculate the illuminated fraction area of the Moon depending on its day of rotation. We obtain excellent approximations regarding the values given by computational systems. We discuss the results of considering the Moon as a flat disk or like a sphere. We analyse the technical difficulties of the process and the mathematical tools needed for more precise calculations. We also put in context this demonstration of the ellipticity of the terminator curve for any interior planet illuminated by a central star of any planetary system, seen from a outsider planet, the case in which the phases are more noticeable. Finally we extend the previous calculations to analyse the illuminated percentage of the inner planets Mercury and Venus, obtaining excellent results in the case of Venus.
Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter
Authors: Schilling Alexander , Aehle Max , Alme Johan , Barnaföldi Gergely Gábor , Bodova Tea , Borshchov Vyacheslav , van den Brink Anthony , Eikeland Viljar , Feofilov Gregory , Garth Christoph , Gauger Nicolas R , Grøttvik Ola , Helstrup Håvard , Igolkin Sergey , Keidel Ralf , Kobdaj Chinorat , Kortus Tobias , Leonhardt Viktor , Mehendale Shruti , Ningappa Mulawade Raju , Harald Odland Odd , O’Neill George , Papp Gábor , Peitzmann Thomas , Pettersen Helge Egil Seime , Piersimoni Pierluigi , Protsenko Maksym , Rauch Max , Ur Rehman Attiq , Richter Matthias , Röhrich Dieter , Santana Joshua , Seco Joao , Songmoolnak Arnon , Sudár Ákos , Tambave Ganesh , Tymchuk Ihor , Ullaland Kjetil , Varga-Kofarago Monika , Volz Lennart , Wagner Boris , Wendzel Steffen , Wiebel Alexander , Xiao RenZheng , Yang Shiming , Zillien Sebastian 
Published: August 2023

Abstract

Objective. Proton therapy is highly sensitive to range uncertainties due to the nature of the dose deposition of charged particles. To ensure treatment quality, range verification methods can be used to verify that the individual spots in a pencil beam scanning treatment fraction match the treatment plan. This study introduces a novel metric for proton therapy quality control based on uncertainties in range verification of individual spots. Approach. We employ uncertainty-aware deep neural networks to predict the Bragg peak depth in an anthropomorphic phantom based on secondary charged particle detection in a silicon pixel telescope designed for proton computed tomography. The subsequently predicted Bragg peak positions, along with their uncertainties, are compared to the treatment plan, rejecting spots which are predicted to be outside the 95% confidence interval. The such-produced spot rejection rate presents a metric for the quality of the treatment fraction. Main results. The introduced spot rejection rate metric is shown to be well-defined for range predictors with well-calibrated uncertainties. Using this method, treatment errors in the form of lateral shifts can be detected down to 1 mm after around 1400 treated spots with spot intensities of 1 × 107 protons. The range verification model used in this metric predicts the Bragg peak depth to a mean absolute error of 1.107 ± 0.015 mm. Significance. Uncertainty-aware machine learning has potential applications in proton therapy quality control. This work presents the foundation for future developments in this area.
Exploring beamline momentum acceptance for tracking respiratory variability in lung cancer proton therapy: a simulation study
Authors: Giovannelli Anna Chiara , Köthe Andreas , Safai Sairos , Meer David , Zhang Ye , Weber Damien Charles , Lomax Antony John , Fattori Giovanni 
Published: August 2023

Abstract

Objective. Investigating the aspects of proton beam delivery to track organ motion with pencil beam scanning therapy. Considering current systems as a reference, specify requirements for next-generation units aiming at real-time image-guided treatments. Approach. Proton treatments for six non-small cell lung cancer (NSCLC) patients were simulated using repeated 4DCTs to model respiratory motion variability. Energy corrections required for this treatment site were evaluated for different approaches to tumour tracking, focusing on the potential for energy adjustment within beamline momentum acceptance (dp/p). A respiration-synchronised tracking, taking into account realistic machine delivery limits, was compared to ideal tracking scenarios, in which unconstrained energy corrections are possible. Rescanning and the use of multiple fields to mitigate residual interplay effects and dose degradation have also been investigated. Main results. Energy correction requirements increased with motion amplitudes, for all patients and tracking scenarios. Higher dose degradation was found for larger motion amplitudes, rescanning has beneficial effects and helped to improve dosimetry metrics for the investigated limited dp/p of 1.2% (realistic) and 2.4%. The median differences between ideal and respiratory-synchronised tracking show minimal discrepancies, 1% and 5% respectively for dose coverage (CTV V95) and homogeneity (D5-D95). Multiple-field planning improves D5-D95 up to 50% in the most extreme cases while it does not show a significant effect on V95. Significance. This work shows the potential of implementing tumour tracking in current proton therapy units and outlines design requirements for future developments. Energy regulation within momentum acceptance was investigated to tracking tumour motion with respiratory-synchronisation, achieving results in line with the performance of ideal tracking scenarios. ±5% Δp/p would allow to compensate for all range offsets in our NSCLC patient cohort, including breathing variability. However, the realistic momentum of 1.2% dp/p representative of existing medical units limitations, has been shown to preserve plan quality.
Determination of nonradiative carrier lifetimes in quantum well laser diodes from subthreshold characteristics
Authors: McVay E , Deri R J , Fenwick W E , Baxamusa S H , Li J , Allen N P , Mittelberger D , Swertfeger R B , Telford S J , Boisselle M C , Pope D L , Dutra D M , Martin L , Gilmore L , Thaler G , Crowley M , Song J , Thiagarajan P 
Published: August 2023

Abstract
A method for determination of non-radiative carrier lifetimes in the waveguide and active regions of quantum well laser diodes is presented. This method is suitable for characterization of fully packaged devices and requires no special measurement equipment if the device structure is known. The proposed approach is experimentally demonstrated for several 800 nm laser diodes.
Compression strategies for large-scale electrophysiology data
Authors: Buccino Alessio P , Winter Olivier , Bryant David , Feng David , Svoboda Karel , Siegle Joshua H 
Published: August 2023

Abstract

Objective. With the rapid adoption of high-density electrode arrays for recording neural activity, electrophysiology data volumes within labs and across the field are growing at unprecedented rates. For example, a one-hour recording with a 384-channel Neuropixels probe generates over 80 GB of raw data. These large data volumes carry a high cost, especially if researchers plan to store and analyze their data in the cloud. Thus, there is a pressing need for strategies that can reduce the data footprint of each experiment. Approach. Here, we establish a set of benchmarks for comparing the performance of various compression algorithms on experimental and simulated recordings from Neuropixels 1.0 (NP1) and 2.0 (NP2) probes. Main results. For lossless compression, audio codecs (FLAC and WavPack) achieve compression ratios (CRs) 6% higher for NP1 and 10% higher for NP2 than the best general-purpose codecs, at the expense of decompression speed. For lossy compression, the WavPack algorithm in ‘hybrid mode’ increases the CR from 3.59 to 7.08 for NP1 and from 2.27 to 7.04 for NP2 (compressed file size of ∼14% for both types of probes), without adverse effects on spike sorting accuracy or spike waveforms. Significance. Along with the tools we have developed to make compression easier to deploy, these results should encourage all electrophysiologists to apply compression as part of their standard analysis workflows.
Analysis of interleaved fuzzy Logic MPPT approach for PV system
Authors: Arulmurugan R , Sivakumar N , Baraneetharan E 
Published: August 2023

Abstract
In this article, a detailed novel interleaved fuzzy logic control based Maximum Power Point Algorithm was designed. It was derived from the conventional hill climbing method, which is used to track solar Photo Voltaic (PV) systems over changing temperature and irradiance. The proposed system composed of the PV panel source, Maximum Power Point Tracking (MPPT) with designed interleaved Fuzzy Logic controller, DC to DC charge controller, and load. The designed fuzzy logic controller contains the two fuzzy subsets, one fuzzy concentrate the change in power with respect to change in voltage and another fuzzy concentrate the change in power with respect to change in current, compare with two fuzzy model uses to track the path more perfect compare to existing method as a novelty of the article. The proposed interleaved fuzzy MPPT optimally tune the parameters of the controller. The proposed system analyzed the few sub criteria, such as time response, stability and power efficiency. The performance of the presented controller has been validated with conventional controllers such as fractional open circuit approach, fractional short circuit approach and hill climbing approach. The proposed leads the highest tracking performance compared to existing. In addition, the proposed performed effectively in different environmental conditions.
Development and Performance Comparison of AC and DC Data Logger for Solar PV Application in Agriculture
Authors: Bansal Shweta , Patel R N , Nigam Manoj Kumar , Ruchira  
Published: August 2023

Abstract
Energy demand has outpaced energy supply. The use of renewable energy is one solution to this energy demand - supply imbalance. For better utilization of energy at the rural areas, a study was conducted to compare the performance of solar systems with and without inverter. The design and development for a low-cost ac and dc data recorder for PV systems is presented in this study. The data logger prototype consists of a micro converter, SD card, and current and voltage sensors. It measures the daily power usage of both ac and dc appliances. The data logger is interfaced with a personal computer, a mobile device, and an LED display, and it provides the daily energy consumption, the average energy consumption, the charging and discharging conditions, and system failure information. The designed hardware was tested under variety of load and no-load conditions, and the graph for various parameters both ac and dc appliances were then analyzed. This technology captures data in milliseconds with human-impossible precision. Microsoft Excel can aggregate all data and generate a graph for each microsecond, which enhances accuracy, eliminates human error, and saves time. This will improve the economy and make them more energy independent.
PI Controlled Bridged Grid-Connected Solar PV Network for Electric Vehicle Battery Charging
Authors: Sharma Desh Deepak , Kumar Ravindra 
Published: August 2023

Abstract
The Z-source inverter (ZSI) topology replaces multiple stages into a single stage in power conversion so it is going to be an appropriate topology for 1-phase grid-connected PV system. In this paper, the various z-source topologies are discussed as available in different literature. This paper has proposed a proportional and integral (PI) Controlled bridged grid-connected solar photovoltaic (PV) network for electrical vehicle charging. The different modulation techniques applied in these topologies have been described. The bridged grid-connected network equipped with solar modules can prove effective in developing charging infrastructures for electric vehicles (EVs) at residential or commercial complexes. The different parameters of this suggested topology may vary during different time instants of a whole day at different modes of procedure i.e solar PV generation to the grid, EV to grid, and both PV and EV to grid. The simulation work has been done with the PWM technique to obtain battery voltage and grid voltage, Fast Fourier Transform, and total harmonic distortion.
Seasonal Variations of pH and Dissolved Oxygen Concentrations in Major Rivers of Uttar Pradesh
Authors: Ghildyal Divya , Chaudhary Manisha 
Published: August 2023

Abstract
The variations in pH and Dissolve Oxygen (DO) concentrations were analysed in surface river water samples for three seasons Pre-Monsoon, Monsoon and Autumn (January to December 2022) for four major rivers Ganga, Yamuna, Gomti and Hindon flowing through Uttar Pradesh, India. For river Ganga pH range varied from 7.65 to 8.47 and DO varied from 6.4mg/l to 9.26mg/l. For river Yamuna pH range varied from 7.31 to 10.5 and DO varied from 0 to 8.1mg/l. Gomti river showed, pH range between 7.2 to 8.48, while DO varied from 0.63mg/l to 8.4mg/l. For, river Hindon, pH varied from 6.8 to 7.66 and DO observed was between 0 to 1.8mg/l. Correlation Matrix showed a significant weak positive correlation between pH and DO for all three seasons for rivers Ganga and Yamuna, while river Gomti showed a significant weak positive correlation in Pre-Monsoon and Monsoon season, and a weak negative correlation in Autumn lastly river Hindon showed weak negative correlation between pH and DO for Pre-Monsoon, and Monsoon and a weak positive significant correlation for Autumn season. Dissolved Oxygen was found in good concentration in river Ganga, and almost nilfor river Hindon. An increasing trend line for DO was observed for rivers Ganga and Yamuna while river Gomti showed a constant trend line lastly river Hindon showed almost nil DO. This study helped to identify the variations of pH and DO, and also to find the correlation between them for Pre-Monsoon, Monsoon and Autumn seasons for the river water samples. The study will prove helpful for designing of water treatment plants accompanying seasonal variations.
Wire-Free Vehicle Charging Using Solar System
Authors: Saini Manoj , Khan Shagufta , Sharma Amit Kumar , Srivastava Yatharth , Chandrasen Shukla Om , Tripathi Sahaj , Dubey Shivam 
Published: August 2023

Abstract
These days everything runs on electricity, without electricity it becomes hard to spend time. Our daily use items like phones, laptops, and other items work on electricity. So electricity is our basic requirement and its connection is establishing rapidly. This is a great opportunity for us to shift to an electric vehicle as nature warns us of pollution. Also, there are different sources available for generating electricity and this electricity can be easily used to move the car. To move the car through electricity, an electricity bank i.e., batteries are installed inside the car which needs to be recharged after a fixed mile run. This recharging can be done in different manners but the need of better fast and efficient charging system has been increases. People don’t want to carry different chargers for different devices or wait for long hours at changing stations so to make charging in an easy way this paper purposed a charging system based on wire-free technology. This paper elaborates on the concept of wireless charging and improves the concept of stationary wireless electric car charging.
A Comprehensive Analysis of Power Converter Topologies and Control Methods for Extremely Fast Charging of Electric Vehicles
Authors: Manoj Vasupalli , Pilla Ramana , Sura Srinivasa Rao 
Published: August 2023

Abstract
Power electronic converters must be researched and developed to offer high-power, low-cost, and reliable contributions to solving the electric vehicle battery problem in light of the widespread usage and expected rise of EVs. An adequate charging infrastructure is required to accommodate the growing number of electric cars (EVs). Off-board chargers for electric vehicles (EVs) are talked about here, along with their alternating current (AC) and direct current (DC) power stages. Concerns that may arise during the design process of an XFC station are addressed, as are the common topologies for power electronics converters that are efficient for XFC. Electric cars can be charged inside or outside the car, but for fast charging, the shorter, lighter outlets outside the car are the best choice. Focusing on technical specifics, ongoing research, and difficulties, we analyze the most up-to-date topologies and control strategies for AC-DC and dc-DC power stages in off-board chargers. And most of the newest multi-port charging stations that combine photovoltaics (PV), energy storage, electric vehicles (EVs), and the power grid are shown as well. By contrasting the AC-DC rectifier, dc-dc converter, and multiport converter in respect of their architecture, voltage and power ranges, efficiency, and the ways in which they impact workability, future research on EV charging solutions may be guided.
Fault Prediction in Electrical Assets Using Infrared Thermography
Authors: parashar S , kumar A , sharma P , rana S , kumar D 
Published: August 2023

Abstract
An infrared thermography technique is discussed in this paper to locate and diagnose the electrical equipment issue. Overheating is among major problems for an electrical device and entire power system. These overheated hotspots must be detected so that the fault can be predicted before it occurs. We used a thermal image of an electrical device taken from a infrared camera to apply our method to detect the hot region and find the maximum temperature and minimum temperature in the image. Image de-noising is done with the help of morphological reconstruction followed by Watershed transformation for image segmentation to identify and separate the region having high pixel intensity as we know that area with high pixel intensity will also have high temperature. Our method achieved near to exact maximum and minimum temperature of electrical device.
Multi-coil wireless power transfer (WPT) technique for boosting efficiency in large air gap systems
Authors: Ghosh Prabhat Chandra 
Published: August 2023

Abstract
An energy-efficient high-powermulti-coil wireless power transfer system (WPT) has been studied in this paper. The proposed system was first analyzed and examined using theoretical modeling; this was followed by finite element analysis and circuit simulation to confirm the goal. As the air gap between the transmitter and receiver coils widens, the coupling coefficient of a WPT system will drop. A large-air-gap WPT system’s coupling coefficient can be raised by adding relay coils between the transmitting and receiving coils. On the other hand, an increased coupling coefficient improves the system’s overall power transfer efficiency. The suggested multi-coil system, which has an air gap of 15 cm and a lateral misalignment of 3 cm between the transmitting and receiving coils, has been simulated and verified using the Maxwell 3-D finite element tool and Ansys Simplorer circuit simulation software.