bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Reliability in Multilevel Inverter: A Fault‐Tolerant Approach With Reduced Switch Count
Authors: Sivapriya A. , Kalaiarasi N. , Kubendran V. 
Published: October 2024

ABSTRACTReliability is a major concern in multilevel inverters (MLI) due to the increased number of power switches and diodes, which increases the chance of switch failures and complicates the inverter design. The primary challenges faced by the current MLI design include higher control complexity, increased parasitic elements, more extensive protection, and lack of multiple fault tolerance. Therefore, developing reduced switch MLI with fault‐tolerant ability is crucial to ensure system availability and prevent adverse outcomes. To address these challenges, this article introduces a highly resilient fault‐tolerant reduced switch count (FTRSC) MLI topology offering fault tolerance with minimal switch count. The proposed topology provides fault tolerance in case of single‐ and multiple‐switch open‐circuit (OC) failures. The inherent fault‐tolerant operation is analyzed for the proposed topology's symmetric and asymmetric configurations. The simulation and experimental results validate the effectiveness of the proposed topology considering normal, faulty, and postfault conditions. Furthermore, the reliability evaluation of the proposed work is carried out using the Markov chain model, resulting in a high total mean time to failure of approximately 117,550 h/failures, along with an efficiency of 96.3%. These findings demonstrate that the proposed circuit has enhanced reliability and extended mean time to failure, affirming its suitability for sensitive industrial applications. Finally, a thorough comparison with recent studies highlights the superiority of the proposed system.
Capacitor Voltage Feedback Active Damping With Reduced Computation Delay for Improving Voltage Control Performance of LC‐Type Grid‐Forming Inverter
Authors: Yu Jian , Cheng Yingru , Hou Yifan , Hao Yulong 
Published: October 2024

ABSTRACTIn low‐voltage applications using low‐Q LC filters, alias‐free capacitor voltage acquisition can be achieved, but synchronous capacitor voltage sampling under high‐Q filters used in high‐voltage applications in grid‐forming converters causes some degree of distortion and results in degradation of the power supply quality. And the inherent 1.5 sampling periods that delay in this approach limit the control bandwidth, reduce the stability region, and result in an inadequate time domain response. Despite these shortcomings, this approach is widely accepted in practice. The conclusion of this paper is that shifting the capacitor voltage sampling instant to 2 µs before the pulse width modulation (PWM) reference voltage update results in almost the same distortion as synchronous sampling. However, it can improve the dynamic performance of the system. A distortion‐acceptable univariate feedback voltage dual‐loop active damping control topology with much reduced computational delay is proposed, which is based on an internal active damping loop using a discrete lead compensator and a proportional resonance controller in the external voltage loop.
Fostering Social Cohesion in Post‐Conflict Societies: The Power of Normative Apologies in Reducing Competitive Victimhood and Enhancing Reconciliation and Intergroup Negotiation
Authors: Borinca Islam , Koc Yasin , Mustafa Sevim 
Published: October 2024

ABSTRACTThe present research investigated whether a normative outgroup apology enhances conciliatory attitudes (i.e., willingness for intergroup contact and feelings of peace) and intergroup negotiations while reducing competitive victimhood. In three experiments (N = 855) conducted in the post‐conflict context of Kosovo, we manipulated the normative apology by informing participants that the majority of outgroup members (i.e., Serbs) apologized for the Kosovo war. We compared this normative apology condition with an institutional apology, in which a Serbian representative apologized for the Kosovo war on behalf of the Serbian government (in all experiments), and a control (i.e., baseline) condition in which no apology‐related information was presented (Experiments 1 and 2). Overall, the results showed that participants in the normative apology condition reported greater willingness for contact with outgroup members, increased feelings of peace, greater support for intergroup negotiations, and reduced competitive victimhood compared to participants in other conditions. In addition, Experiment 3 revealed that outgroup humanization mediated the effect of normative apology on conciliatory attitudes, intergroup negotiations and competitive victimhood. In sum, these findings showed that normative apologies play a critical role in improving intergroup relations and reducing conflict‐related tensions.
Optimization of White Tea Flavanol Extraction Process by the Ultrasonic‐Assisted Deep Eutectic Solvent Method and Determination of the Antioxidant and Antibacterial Activity
Authors: Chen Yuexing , Du Xueting , Tan Siyuan , Li Huixin 
Published: October 2024

ABSTRACTFlavanols have a variety of health benefits and biological activities and become the hotspot of the food development and research. In this research, flavanols were extracted from white tea by ultrasonic‐assisted deep eutectic solvent (DES) method. High‐performance liquid chromatography was used to determine the content of flavanols. The influence of four factors on the flavanol extraction yield was analyzed by single factor experiments, including deep eutectic solvent mole ratio (the mole of hydrogen bond acceptors: the mole of hydrogen bond donors), solid–liquid ratio (white tea sample weight/g: the volume of DES/mL), extraction time and extraction temperature. On the basis of single factor experiments, the factors which had significant effects on the flavanol extraction yield were further optimized by the response surface test. The results showed that the optimized extraction conditions were as follows: the mole ratio of DES 1: 4 (choline chloride: 1,2‐propanediol), the solid–liquid ratio 1:30, the extraction temperature 56°C, the extraction time 53 min, and the ultrasonic power 341 W. Under the above parameters, the extraction yield of white tea flavanols was 9.63 mg/g. After purification with macroporous resin, antioxidation and antibacterial experiments were carried out. The results showed that the antioxidant and antibacterial effects of white tea flavanols were remarkable. The antibacterial effects performed best on Escherichia coli, followed by Bacillus subtilis and Staphylococcus aureus. The maximum diameter of the antibacterial zone on Escherichia coli was 0.95 ± 0.11 mm. The best radical scavenging rates of OH, ABTS+ and DPPH were 97.1%, 97.5%, and 88.4%, respectively, when the flavanol concentration was 9.5 mg/mL. The conclusions of this research can provide theoretical foundation for the further study of white tea flavanols.
Impact of climate change on natural terrain stability and infrastructure integrity: Insights and case studies from Colombia
Authors: Gall Vojtech , Alsahly Abdullah , Davila Juan Manuel 
Published: October 2024

AbstractClimate change often leads to increased precipitations and thus affects natural terrain stability, leading to landslides and infrastructure damage. Infrastructure failure causes economic losses, societal disruption, and hampers emergency response and recovery efforts. For example, a significant challenge to the stability of natural slopes is the intensification of heavy precipitation events due to climate change. Increased precipitation rates can intensify soil erosion and soil saturation, resulting in increased instability and a higher risk of slope failure. This work consolidates current insights derived from practical engineering based on detailed investigation as well as rigorous research on the interplay between climate change, land‐use changes, geomorphological characteristics, and their collective influence on slope stability, landslides, and infrastructure integrity. Two case studies from South America are presented to analyze such effect of climate change. Collaboration between civil engineering and climate disciplines, foremost meteorology along with predictive risk management, is essential for sustainable infrastructure in evolving climates.
The Impact of Genetic Polymorphisms for Detecting Genotoxicity in Workers Occupationally Exposed to Metals: A Systematic Review
Authors: Pinto Thiago Guedes , Dias Thayza Aires , Renno Ana Claudia Muniz , dos Santos Jean Nunes , Cury Patrícia Ramos , Ribeiro Daniel Araki 
Published: October 2024

ABSTRACTThe present study aims to provide a systematic review of studies on the essential and nonessential metal exposure at occupational level, genotoxicity, and polymorphisms and to answer the following questions: Are genetic polymorphisms involved in metal‐induced genotoxicity? In this study, 14 publications were carefully analyzed in this setting. Our results pointed out an association between polymorphism and genotoxicity in individuals exposed to metals, because 13 studies (out of 14) revealed positive relations between genotoxicity and polymorphisms in xenobiotics metabolizing and DNA repair genes. Regarding the quality of these findings, they can be considered reliable, as the vast majority of the studies (12 out of 14) were categorized as strong or moderate in the quality assessment. Taken as a whole, occupational exposure to metals (essentials or not) induces genotoxicity in peripheral blood or oral mucosa cells. Additionally, professional individuals with certain genotypes may present higher or lower DNA damage as well as DNA repair potential, which will certainly impact the level of DNA damage in the occupational environment.
The Role of 70‐MHz Ultrahigh‐Frequency Ultrasound in the Peripheral Nerve Injury
Authors: Marco Fogante , Nicola Carboni , Claudio Ventura , Corrado Tagliati , Giulio Argalia 
Published: October 2024

ABSTRACTAimHigh‐frequency ultrasound with an 18‐MHz probe (18 MHz‐HFUS) plays a relevant role in the evaluation of peripheral nerve injury (PNI). Ultrahigh‐frequency ultrasound with a 70‐MHz probe (70 MHz‐UHFUS) offers higher spatial resolution and could allow a better detection of PNI. This study aimed to compare the diagnostic performance of HFUS and UHFUS in PNI detection.Materials and MethodsIn this retrospective study, were selected, between July 2022 and April 2024, 61 patients underwent HFUS, UHFUS, and nerve conduction study (NCS) for clinical suspicion of traumatic forearm PNI. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of HFUS and UHFUS in PNI detection were calculated and compared. NCS was used as the reference standard. Nonparametric statistical tests were used. A p value of < 0.05 was considered statistically significant.ResultsComparing the diagnostic performance in PNI detection, the 70 MHz‐UHFUS showed a sensitivity and diagnostic accuracy significantly higher than 18 MHz‐HFUS, respectively, 98.0% versus 82.4% (p = 0.0205) and 95.1% versus 82.0% (p = 0.0468). Otherwise, not significantly difference were in specificity, PPV, and NPV.ConclusionsUHFUS compared to HFUS demonstrated a higher sensitivity and diagnostic accuracy in PNI detection.
Advancements in Eco‐Friendly Colloidal Quantum Dots and their Application in Light Emitting Diodes: Achieving Bright and Color‐Pure Emission for Displays
Authors: Channa Ali Imran , Bai Sai , Wang Zhiming M. , Tong Xin 
Published: October 2024

AbstractSolution‐processable colloidal quantum dots (QDs) are regarded as promising light emitters for next‐generation displays owing to their high photoluminescence quantum yield (PLQY) and broad color tunability. Even though cadmium (Cd)‐based QDs and relevant electroluminescent light‐emitting diodes (LEDs) progressed rapidly, their commercial deployment remains prohibited due to potential environmental concerns. In this review, recent advances in synthesizing eco‐friendly, bright, and color‐pure emitting QDs including InP, ZnSeTe, and AgInGaS2 (AIGS) QDs toward high‐performing LEDs are presented. In particular, the synthetic strategies such as regulating the composition, core/shell structure, and surface ligands of QDs for enhancing the PLQY and reducing the spectral bandwidth are comprehensively discussed. Moreover, various techniques to obtain high‐performance QDs‐based LEDs (QLEDs) involving device architecture and interface engineering as well as modification in electron and hole transport layers are overviewed. Finally, the existing challenges and outlook regarding the optimization of QD's synthesis and optical properties for boosted QLEDs device performance are put forward to enable prospective advanced displays.
Mutated Adenovirus Attacks in West Bengal, India: Risk Evaluation of Multi‐Country Outbreaks and Mitigation Strategies
Authors: Rahman Md. Ashrafur , Cronmiller Sydney , Ernest Julianne , Nguyen Jonah , Zong Donovan , Davis Rob , Rawa Amanda , Thomas Marie Roke , Al Mosharrafa Rana , Shanjana Yeasna , Islam Md. Rabiul 
Published: October 2024

ABSTRACTAimThe human adenovirus (HAdV) is beginning to spread rapidly in children through human, surface and animal vectors. Around 12,000 cases were recognised in 2022 in West Bengal and a shocking number of cases arose throughout India and in other under‐developed areas. This is going to be a big threat to public health since no vaccine, awareness or protocol policies were introduced. Early detection, immediate isolation and proper policy developments are the key factors in overcoming the situation. Therefore, we performed this rapid review and discussed probable mitigation strategies, updated research on vaccine development, and treatment strategies to control the outbreaks of mutated HAdV.DesignThis is a narrative review of publicly available information.MethodsHere, we extracted updated information and data using the terms HAdV outbreaks, mutations, species, risks and prevention from Google Scholar and PubMed. We considered relevant articles that have discussed prevention strategies, ongoing research, and antiviral drugs for managing HAdV outbreaks.ResultsEarly detection from throat swabs, isolation and symptomatic treatments are required to minimise viral infections. A massive test needs to be performed to find the affected people. The cases should be immediately isolated. It is recommended to treat high‐touch surfaces with heat‐ or bleach‐containing cleaners to prevent the spread of infection. Oxygen support and many broad‐spectrum antivirals have been used to treat HAdV. Several studies showed antibody neutralisation and interactions between the natural killer cell receptor KIR3DS1 and HLA‐F in infected cells, indicating possible therapeutic options in the future. HAdV‐4 and HAdV‐7 vaccines have been limitedly approved for administration to military personnel.ConclusionIsolation, certain safety measures, broad‐spectrum antiviral drugs and further research on new vaccines could be useful to prevent this virus from producing a worldwide pandemic. Also, the authorities should ensure the proper therapeutic interventions and nursing care facilities for the infected children.Patient or Public ContributionPatient or public contribution was not relevant to our work.
Dynamic Viscosity of Polyethylene Glycol (PEG): Data Assessment, Sensitivity Analysis and Robust Modeling via Artificial Intelligence Methods
Authors: Altalbawy Farag M. A. , Al‐Hussainy Ali Fawzi , Doshi Hardik , Ganesan Subbulakshmi , Agarwal Mohit , Kaur Parjinder , Saydaxmetova Shaxnoza , Nafea Marwa Akram , Najm Mohanad Hasan , Al‐Shami Karar R. , Kiani Mahmood 
Published: October 2024

ABSTRACTAccurate determination of physio‐chemical properties of polyethylene glycol as a green non‐toxic solvent is vital for any chemical and energy process involving polyethylene glycol. Machine learning algorithms are known as robust methods for prediction purposes. This study put forward least squares support vector machine scheme optimized with either particle swarm optimization, genetic algorithm and coupled simulated annealing optimization methods to precisely carry out the prediction task of polyethylene glycol viscosity in terms of its influencing parameters of pressure, temperature and polyethylene glycol molecular weight using a dataset containing experimental pertinent values. An outlier detection algorithm is made use of to confirm the data reliability for model development. In addition, sensitivity study is done to ascertain the relative impacts of each input factor on polyethylene glycol viscosity. The results showed that least squares support vector machine optimized with coupled simulated annealing is the most accurate model for the PEG viscosity prediction task with coefficient of determination of 0.997, average absolute relative error percent of 0.653 and mean square error of 8.005 for all datapoints. In addition, it was found that unlike temperature, we observe an indirect correlation of pressure and polyethylene glycol molecular weight with the pertinent viscosity data. The robustness of the developed least squares support vector machine optimized with coupled simulated annealing is further approved as it outperforms a renowned correlation that is often used for general viscosity prediction.
Sideband‐Selective Single‐Photon Blockade in Floquet‐Modulated Jaynes–Cummings System
Authors: Li Shiyan , Wang Nan , Zhu Ai‐Dong 
Published: October 2024

AbstractA circuit quantum electrodynamics (QED) scheme is proposed for generating an on‐demand single‐photon source with full external engineering in a Floquet‐modulated Jaynes–Cummings (JC) system. The photon blockade effect can be induced across multiple Floquet sidebands, enabling the selective generation of a bright single‐photon beam at a specific sideband frequency by adjusting the external driving field of the qubit, without requiring modifications to the circuit components. This is of significance for practical applications of integrated micro‐nano single quantum devices within a quantum information network.
Event‐Triggered Generalized Extended State Observer‐Based Control for Nonlinear Networked Systems Under Gain Variation and Multi‐Channel Attacks
Authors: Zhang Pengcheng , Wang Jianyu , Liu Yajuan , Lee Sangmoon 
Published: October 2024

ABSTRACTThis paper investigates the event‐triggered generalized extended state observer‐based estimation issue for a class of nonlinear networked control systems with unmodeled dynamics, external disturbances and multi‐channel attacks. In order to resist different forms of attack threats on multiple communication channels from sensors to the observer, Markov chain is introduced to describe the stochastic switching or jumping behavior between different attack modes. Considering the limited network resources, the measured outputs are transmitted to the observer only when the triggering conditions are met. Moreover, the parameters modeled by the Bernoulli process are adopted to help analyze potential random gain variations of the generalized extended state observer. By employing Lyapunov stability theory and stochastic systems analysis, sufficient conditions are derived to ensure that the augmented system is exponentially bounded in mean square, and the expected observer gains are further determined through linear matrix inequalities. Finally, a numerical example and a simulation related to the RLC series circuit system are conducted, illustrating the proposed method's effectiveness.
Tuning Work Function of Fe2N@C Nanosheets by Co Doping for Enhanced Lithium Storage
Authors: Chen Yifan , Huang Qiang , Zhao Rong , Sun Bing , Xu Wenli , Gao Yinhong , Nan Xu , Li Qiqi , Yang Yao , Cong Ye , Li Xuanke , Zhang Qin , Yang Nianjun 
Published: October 2024

AbstractTransition metal nitrides (TMNs) with high theoretical capacity and excellent electrical conductivity have great potential as anode materials for lithium‐ion batteries (LIBs), but suffer from poor rate performance due to the slow kinetics. Herein, taking the Fe2N for instance, Co doping is utilized to enhance the work function of Fe2N, which accelerates the charge transfer and strengthens the adsorption of Li+ ions. The Fe2N nanoparticles with various Co dopants are anchoring on the surface of honeycomb porous carbon foam (named Cox‐Fe2N@C). Co‐doping can enlarge the work function of pristine Fe2N and thereby optimize the charging/discharging kinetics. The work function can be increased from 5.23 eV (pristine Fe2N) to 5.67 eV for Co0.3‐Fe2N@C and 5.56 eV for Co0.1‐Fe2N@C. As expected, the Co0.1‐Fe2N@C electrode exhibits the highest specific capacity (673 mA h g−1 at 100 mA g−1) and remarkable rate capability (375 mA h g−1 at 5 000 mA g−1), outperforming most reported TMNs electrodes. Therefore, this work provides a promising strategy to design and regulate anode materials for high‐performance and even commercially available LIBs.
Background‐Free Imaging of Food Freshness Using Curcumin‐Functionalized Upconversion Reversible Hydrogel Patch
Authors: Jiang Ruoxuan , Yang Fan , Kang Xiaohui , Li Xingzhen , Jia Wei , Pan Lei , Yang Liang 
Published: October 2024

AbstractFunctionalized upconversion nanomaterials can overcome the drawbacks faced of strong background interference, photodamage, and spectral overlap by conventional optical labeling. Here, curcumin‐functionalized upconversion hydrogel patch is designed with background‐free and reversible for food freshness monitoring by ultra‐sensitive response to biogenic amines. By loading the probes onto hydrogel patch, utilizing the good ductility to solve the problem of non‐smooth surface coverage, thus accurately capturing biogenic amines. The presence of biogenic amines leads to the conversion of the diketone group on the probe to enolate ions, which triggers fluorescence resonance energy transfer (FRET) and ultimately causes the upconverted fluorescence to gradually change from green to red. The probe exhibits good detection capability for biogenic amines with a low limit of detection (LOD) of 2.73 µm. Interestingly, the patch can be restored to its initial state after water rinsing, realizing reversible detection of biogenic amines. Additionally, combining the color recognition system of smartphone can convert the imaging signal into a data signal to achieve quantitative analysis and show a reliable assessment comparable to the results of high performance liquid chromatography (HPLC). This study demonstrates the practical applicability in real‐time monitoring of freshness, suggests great potential in developing optical nano‐sensing strategy to ensure food safety.