bluuebunny/crossref_metadata_2025 huggingface dataset:
A behavioral signature for quantifying the social value of interpersonal relationships with specific others
Authors: Guassi Moreira João F. , Parkinson Carolyn
Published: September 2024

The idea that individuals ascribe value to social phenomena, broadly construed, is well-established. Despite the ubiquity of this concept, defining social value in the context of interpersonal relationships remains elusive. This is notable because while prominent theories of human social behavior acknowledge the role of value-based processes, they mostly emphasize the value of individual actions an agent may choose to take in a given environment. Comparatively little is known about how humans value their interpersonal relationships. To address this, we devised a method for engineering a behavioral signature of social value in several independent samples (total N = 1111). Incorporating the concept of opportunity cost from economics and data-driven quantitative methods, we derived this signature by sourcing and weighting a range of social behaviors based on how likely individuals are to prioritize them in the face of limited resources. We examined how strongly the signature was expressed in self-reported social behaviors with specific relationship partners (a parent, close friend, and acquaintance). Social value scores track with other aspects of these relationships (e.g., relationship quality, aversion to losing relationship partners), are predictive of decision preferences on a range of tasks, and display good psychometric properties. These results provide greater mechanistic specificity in delineating human value-based behavior in social contexts and help parse the motivational relevance of the different facets that comprise interpersonal relationships.
Ubiquitylation of nucleic acids by DELTEX ubiquitin E3 ligase DTX3L
Authors: Zhu Kang , Chatrin Chatrin , Suskiewicz Marcin J , Aucagne Vincent , Foster Benjamin , Kessler Benedikt M , Gibbs-Seymour Ian , Ahel Dragana , Ahel Ivan
Published: September 2024

The recent discovery of non-proteinaceous ubiquitylation substrates broadened our understanding of this modification beyond conventional protein targets. However, the existence of additional types of substrates remains elusive. Here, we present evidence that nucleic acids can also be directly ubiquitylated via ester bond formation. DTX3L, a member of the DELTEX family E3 ubiquitin ligases, ubiquitylates DNA and RNA in vitro and that this activity is shared with DTX3, but not with the other DELTEX family members DTX1, DTX2 and DTX4. DTX3L shows preference for the 3′-terminal adenosine over other nucleotides. In addition, we demonstrate that ubiquitylation of nucleic acids is reversible by DUBs such as USP2, JOSD1 and SARS-CoV-2 PLpro. Overall, our study proposes reversible ubiquitylation of nucleic acids in vitro and discusses its potential functional implications.
HIV-1 Vpu induces neurotoxicity by promoting Caspase 3-dependent cleavage of TDP-43
Authors: Yang Jiaxin , Li Yan , Li Huili , Zhang Haichen , Guo Haoran , Zheng Xiangyu , Yu Xiao-Fang , Wei Wei
Published: September 2024

Despite the efficacy of highly active antiretroviral therapy in controlling the incidence and mortality of AIDS, effective interventions for HIV-1-induced neurological damage and cognitive impairment remain elusive. In this study, we found that HIV-1 infection can induce proteolytic cleavage and aberrant aggregation of TAR DNA-binding protein 43 (TDP-43), a pathological protein associated with various severe neurological disorders. The HIV-1 accessory protein Vpu was found to be responsible for the cleavage of TDP-43, as ectopic expression of Vpu alone was sufficient to induce TDP-43 cleavage, whereas HIV-1 lacking Vpu failed to cleave TDP-43. Mechanistically, the cleavage of TDP-43 at Asp89 by HIV-1 relies on Vpu-mediated activation of Caspase 3, and pharmacological inhibition of Caspase 3 activity effectively suppressed the HIV-1-induced aggregation and neurotoxicity of TDP-43. Overall, these results suggest that TDP-43 is a conserved host target of HIV-1 Vpu and provide evidence for the involvement of TDP-43 dysregulation in the neural pathogenesis of HIV-1.
Molecular mechanism of β-arrestin-2 pre-activation by phosphatidylinositol 4,5-bisphosphate
Authors: Kim Kiae , Chung Ka Young
Published: September 2024

Phosphorylated residues of G protein-coupled receptors bind to the N-domain of arrestin, resulting in the release of its C-terminus. This induces further allosteric conformational changes, such as polar core disruption, alteration of interdomain loops, and domain rotation, which transform arrestins into the receptor-activated state. It is widely accepted that arrestin activation occurs by conformational changes propagated from the N- to the C-domain. However, recent studies have revealed that binding of phosphatidylinositol 4,5-bisphosphate (PIP2) to the C-domain transforms arrestins into a pre-active state. Here, we aimed to elucidate the mechanisms underlying PIP2-induced arrestin pre-activation. We compare the conformational changes of β-arrestin-2 upon binding of PIP2 or phosphorylated C-tail peptide of vasopressin receptor type 2 using hydrogen/deuterium exchange mass spectrometry (HDX-MS). Introducing point mutations on the potential routes of the allosteric conformational changes and analyzing these mutant constructs with HDX-MS reveals that PIP2-binding at the C-domain affects the back loop, which destabilizes the gate loop and βXX to transform β-arrestin-2 into the pre-active state.
A novel fluorescent probe for efficient detection of fluoride ions in living animal and plant tissues
Authors: Chen Jun , Qu Maoting , Zhang Jiahao , Yao Yongxue , Pei Xinyu , Wu Wen , Pei Shuchen
Published: September 2024

This work presents the design and synthesis of a new fluorescent probe IF-Br-F for the specific detection of fluoride ions.
Correction: Chromatographic fingerprinting of epiphytic fungal strains isolated from Withania somnifera and biological evaluation of isolated okaramine H
Authors: Sharma Vandana , Chib Shifali , Kumari Diksha , Singh Kuljit , Saran Saurabh , Singh Deepika
Published: September 2024

Correction for ‘Chromatographic fingerprinting of epiphytic fungal strains isolated from Withania somnifera and biological evaluation of isolated okaramine H’ by Vandana Sharma et al., Anal. Methods, 2024, https://doi.org/10.1039/D4AY00901K.
Spark ablation: a dry, physical, and continuous method to prepare powdery metal nanoparticle-based catalysts
Authors: Debecker Damien P. , Hongmanorom Plaifa , Pfeiffer Tobias V. , Zijlstra Bernardus , Zhao Yingrui , Casale Sandra , Sassoye Capucine
Published: September 2024

Metal nanoparticles (Ni) are generated by spark ablation and directly deposited onto a powdery catalyst support (TiO2).
Sensitizing the phosphorescence of pyromellitic diimide through non-covalent halogen–carbonyl interactions
Authors: Hati Debranjan , Garain Swadhin , Ansari Shagufi Naz , Kongasseri Anju Ajayan , George Subi J.
Published: September 2024

Herein, a halogen-bonding-assisted heavy-atom effect was introduced to sensitize the locally-excited triplet state of pyromellitic diimide, achieving efficient phosphorescence, with one of the highest quantum yield in a cocrystal.
Exploring h-BN as a hydrogen conductor and depository
Authors: Sukhanova Ekaterina V. , Manakhov Anton M. , Kovalskii Andrey , Al-Qasim Abdulaziz S. , Popov Zakhar I.
Published: September 2024

The use of hexagonal boron nitride (h-BN) as a material for hydrogen storage is attributed to its ability to accommodate atomic and molecular hydrogen.
Insights into the pH effect on hydrogen electrocatalysis
Authors: Cui Wen-Gang , Gao Fan , Na Guoquan , Wang Xingqiang , Li Zhenglong , Yang Yaxiong , Niu Zhiqiang , Qu Yongquan , Wang Dingsheng , Pan Hongge
Published: September 2024

This review systematically provides various insights into the pH effect on hydrogen electrocatalysis, and thus providing a reference for future development of hydrogen electrocatalysis based on these insights.
A flavonoid-rich extract of bergamot juice improves high-fat diet-induced intestinal permeability and associated hepatic damage in mice
Authors: Lombardo Giovanni E. , Navarra Michele , Cremonini Eleonora
Published: September 2024

Effects of BJe consumption on high-fat diet/obesity-associated alteration of the gut-liver axis.
The role of interactions between the cationic backbone and basic anions in green and ultra-selective catalytic synthesis of ethyl methyl carbonate in tunable ionized frameworks
Authors: Chen Jie , Xie Jingjun , Chen Xiaoyan , Dong Rong , Ge Xue-Hui , Qiu Ting
Published: September 2024

The ionic framework [CPIL-M]n[PhO] with feasible Lewis basicity toward transesterification of dimethyl carbonate with ethanol for highly selective production of ethyl methyl carbonate (EMC) is reported.
Rapid miRNA detection in skin interstitial fluid using a hydrogel microneedle patch integrated with DNA probes and graphene oxide
Authors: Zheng Hanjia , Keyvani Fatemeh , Sadeghzadeh Sadegh , Mantaila Dragos F. , Rahman Fasih A. , Quadrilatero Joe , Poudineh Mahla
Published: September 2024

A simple and rapid fluorescence-based sensor sensors using DNA functionalized graphene oxide for miRNA detection from skin interstitial fluid.
Defect-engineering of liquid-phase exfoliated 2D semiconductors: stepwise covalent growth of electronic lateral hetero-networks
Authors: Ricciardulli Antonio Gaetano , Petoukhoff Christopher E. , Zhuravlova Anna , Kelly Adam G. , Ma Chun , Laquai Frédéric , Coleman Jonathan N. , Samorì Paolo
Published: September 2024

Two-dimensional (2D) in-plane covalent hetero-networks display exceptional optical and electrical properties well beyond those of their pristine components.
Enhancement of hybrid organohydrogels by interpenetrating crosslinking strategies for multi-source signal recognition over a wide temperature range
Authors: Zhang Shen , Sun Rui , Wang Jun , Jiang Zhiqin , Liu Mingfang , Chen Hua , Hu Zhijun , Zhan Xiaoli , Gao Feng , Zhang Qinghua
Published: September 2024

Enhancement of hybrid organohydrogels by interpenetrating crosslinking strategies for multi-source signal recognition over a wide temperature range.
Double-layered protein nanoparticles conjugated with truncated flagellin induce improved mucosal and systemic immune responses in mice
Authors: Kim Joo Kyung , Zhu Wandi , Dong Chunhong , Wei Lai , Ma Yao , Denning Timothy , Kang Sang-Moo , Wang Bao-Zhong
Published: September 2024

Intranasal immunization with HA3-tFliC/NP SDAD protein nanoparticles enhances both systemic and mucosal immunity, promoting influenza cross-protection. Sequential priming immunization further enhances GC B cells, Tfh cells, and effector T cells.
A density functional theory study of the water–gas shift reaction catalyzed by a Cr(CO)6 complex
Authors: Zhao Bofeng , Peng Wencai , Qian Liqiang , Li Han , Cheng Sutong , Wei Jinghan
Published: September 2024

The mechanism of the Cr(CO)6 catalyzed WGSR in the gaseous phase and aqueous phase is reported. The kinetic behavior of the catalytic cycle is revealed using an energy-span model.
Ice-glue assisted transfer printing of nanocarbon black and its application for electroplating ultrafine copper wires
Authors: Song Danting , Li Xuanzhang , Zhou Chuanyu , Ying Wenfeng , Ze Ying , Sun Huibin , Huang Wei
Published: September 2024

Ice-glue assisted transfer printing of nanocarbon black and its application for preparation of ultrafine metal wires.
Degradable branched and cross-linked polyesters from a bis(1,3-dioxolan-4-one) core
Authors: Buensoz Orla , Picken Christina A. R. , Price Paul , Fidge Christopher , Shaver Michael P.
Published: September 2024

Reaction of diols and triols with a bis(1,3-dioxolan-4-one) core derived from tartaric acid affords topologically diverse cross-linked and branched polyesters that are both reprocessable and hydrolytically degradable.
Multicolor circularly polarized luminescence: pendant primary amine/diphenylalanine chiral copolymers with clustering-triggered emission
Authors: Yonenuma Ryo , Takenaka Aoi , Nakano Tamaki , Mori Hideharu
Published: September 2024

Clustering-triggered emission (CTE) materials without π-conjugate chromophores have attracted increasing attention. In this study, we designed CTE-based circularly polarized luminescence (CPL) block and random copolymers, showing multicolor CPL.
Sunlight-induced three-component synthesis of α-aminoketones: a green and sustainable pathway through an EDA complex
Authors: Wang Jianwei , Zhang Zhiqin , Li Chengrui , Wang Miao , Tan Jiajing , Du Hongguang , Chen Ning
Published: September 2024

We reported a sunlight-promoted, three-component reaction involving glyoxal hydrates, anilines, and 4-alkyl DHPs for the synthesis of α-aminoketones with high yields under ambient conditions without additional photocatalysts or additives.
Ligand-to-metal charge transfer facilitates photocatalytic oxygen atom transfer (OAT) with cis-dioxo molybdenum(vi)-Schiff base complexes
Authors: Dreher Thorsten , Geciauskas Lukas , Steinfeld Samuel , Procacci Barbara , Whitwood Adrian C. , Lynam Jason M. , Douthwaite Richard E. , Duhme-Klair Anne-K.
Published: September 2024

Air-stable molybdenum(vi)-dioxo complexes with chromophoric salicylidene aminophenol ligands mediate photocatalytic oxygen atom transfer under visible light irradiation via a non-emissive photo-excited state with significant LMCT character.
Tumor oxygen microenvironment-tailored electron transfer-type photosensitizers for precise cancer therapy
Authors: Yang Yiting , Wang Yafu , Liu Yang , Wang Kui , Wang Ge , Yang Yonggang , Jang Won Jun , James Tony D. , Yoon Juyoung , Zhang Hua
Published: September 2024

A novel therapeutic strategy using photosensitive dyes (Ser-TPAs) has been developed, resulting in sustained high concentrations of strongly oxidizing substances in cancer cells through the synergistic activation of electron transfer-type reactions.
Water splitting over transition metal-doped SrTiO3 photocatalysts with response to visible light up to 660 nm
Authors: Kaiya Kyohei , Ueki Yoshiya , Kawamoto Hiromasa , Watanabe Kenta , Yoshino Shunya , Yamaguchi Yuichi , Kudo Akihiko
Published: September 2024

Highly efficient water splitting under visible light was achieved using Ir, Sb, and Al-codoped SrTiO3 of a single particulate photocatalyst by a solid-state reaction followed by flux treatment using SrCl2 and loading of a RhCrOx cocatalyst.
Spirobifluorene-based hole-transporting materials for RGB OLEDs with high efficiency and low efficiency roll-off
Authors: Li Qian , Guo Yusong , Lan Jingbo , Yang Yudong , Wu Di , Bin Zhengyang
Published: September 2024

A new kind of 3,3′,6,6′-tetrasubstituted spirobifluorene-based hole-transporting material (HTM) is designed and synthesized, which enables excellent device performance for RGB OLEDs with high efficiency and low efficiency roll-off.
A switch strategy for the synthesis of C4-ethylamine indole and C7-aminoindoline via controllable carbon elimination
Authors: Zhang Bo-Sheng , Deng Bao-Jie , Zhi Yuan-Xin , Guo Tian-Jiao , Wang Yi-Ming , Gou Xue-Ya , Quan Zheng-Jun , Wang Xi-Cun , Liang Yong-Min
Published: September 2024

This manuscript describes a switchable synthesis of biologically active C4-ethylaminoindole and C7-aminoindoline scaffolds by controlling β-carbon elimination, utilizing aziridine as a C–H ethylamination reagent via C–N bond cleavage.
A viscoelastic-stochastic model of cell adhesion considering matrix morphology and medium viscoelasticity
Authors: Li Shuying , Huang Chuanzhen , Liu Hanlian , Han Xu , Wang Zhichao , Chen Zhuang , Huang Jun , Wang Zhen
Published: September 2024

A new viscoelastic-stochastic model that considers the morphological characteristics of the matrix, the viscoelasticity of the cell and the viscoelasticity of the substrate was developed.
An efficient NiCoSe4/NiCo-LDH/CF catalyst for the co-production of value-added formate and hydrogen via selective methanol electro-oxidation
Authors: Li Jiaxin , Yu Hongmei , Chi Jun , Luo Xu , Li Tongzhou , Shao Zhigang
Published: September 2024

An enhanced catalytic performance for selective methanol electrooxidation to formate was achieved derived from the “shuttle-like” role of Se and the bimetallic synergism in NCS/CF.
A lightweight deep learning architecture for automatic modulation classification of wireless internet of things
Authors: Han Jia , Yu Zhiyong , Yang Jian
Published: September 2024

The wireless Internet of Things (IoT) is widely used for data transmission in power systems. Wireless communication is an important part of the IoT. The existing modulation classification algorithms have low classification accuracy when facing strong electromagnetic interference, which causes decoding error link interruption and wastes wireless channel resources. Therefore, it is necessary to study signal modulation classification methods in a low signal‐to‐noise ratio (SNR) environment. In this paper, a lightweight Deep Neural Networks (DNNs) modulation classification method based on the Informer architecture classifier and two‐dimensional (2‐D) curves input of the spectral correlation function (SCF) is proposed, which uses in‐phase and quadrature (I/Q) signals to generate 2‐D cross‐section SCF curve first and then feeds the feature curve into the Informer network to classify the modulation method. This model can better learn the robustness characteristics in a long sequence. Through testing, the classification accuracy of the modulation signal is not much lower than that of the current good classification method when the SNR is 10 dB, and this method can still show higher accuracy when hardware resources are limited. It is a compact design of a modulation classification model and easy to deploy on low‐cost embedded platforms.
Analytical prediction of the open‐circuit magnetic field for the V‐shaped interior PM machine by the improved subdomain method
Authors: Ren Jie , Sun Fuchun , Wang Andong , Li Ming , Xu Jinyang
Published: September 2024

The open‐circuit magnetic field of the V‐shaped interior PM (IPM) machine is predicted by the analytical method. The method is implemented following the basic principle of the subdomain method. The machine model is divided into five different regions, including rotor slot, magnetic barrier, air gap, stator slot, and stator slot opening. To perform the analytical prediction process in the polar coordinate system, these regions should be transformed into the appropriate subdomains. The last four regions can be transformed into the subdomains with the required shape based on the existing method. The rotor slot cannot be treated as a single subdomain, for the shape of which is irregular. Herein, the PM and vacuum region in the rotor slot is divided into several fan‐shaped subdomains. The division method is described clearly. Then, the boundary conditions alongside the interface between adjacent subdomains are derived based on function transformation. On this basis, the open‐circuit magnetic field of the IPM machine can be predicted. The magnetic field of the 6p/36 s V‐shaped IPM machine is obtained by the proposed method, finite element method simulation, and experiment, respectively. Additionally, the comparison results verify the accuracy and efficiency of the proposed method.
Research on loss differences and thermal optimisation of submerged cryogenic high‐speed permanent magnet motors
Authors: Ge Baojun , Wang Yue , Xu Xiao , Wang Likun , Huang Shuo , Yang Zhifei
Published: September 2024

The utilisation of high‐speed motors in cryogenic motors achieves high efficiency and rapid transmission of cryogenic media, and at the same time, the high loss characteristic of high‐speed motors enhances the vaporisation rate of cryogenic media and reduces the transmission quality of the media. Comprehensive numerical results on power loss and thermal characteristics of a submersible cryogenic high‐speed permanent magnet motor are presented. The electromagnetic and frictional losses are calculated using precise numerical analysis, and these values are then incorporated into the fluid‐thermal coupling solution model to obtain the temperature distribution results. In order to mitigate the impact of submerged cryogenic motor temperature on low‐temperature medium vapourisation, the response surface optimisation method is employed for designing the rotor cooling diversion orifice, and determining the optimal dimensions, structure, and input conditions for flow velocity. The analysis results indicate that under low‐temperature impact, the no‐load back electromotive force increased by 9.3 V; the iron loss is increased by 22 W at rated speed and the optimised temperature is reduced by 4.3°C. A 30 kW, 12,000 rpm high‐speed permanent magnet motor is utilised for validating the numerical model and the calculated results.
Platform echo and cross‐eye jamming against active‐passive composite monopulse radars
Authors: Li Dong , Liu Yongcai , Zhou Liang , Su Binbin , Meng Jin
Published: September 2024

Active‐passive composite monopulse radar (APCMR) enhances the anti‐jamming capability by combing the advantages of active radars and passive radars. Previous studies have discussed the effectiveness of cross‐eye jamming against APCMR in a simplified scenario for isolating platform echo. In this paper, platform echo and cross‐eye jamming signals are jointly considered to analyse the jamming performance on APCMR. A mathematical model of the cross‐eye jamming against APCMR is established in the presence of the platform echo, and the jamming performance on active radar and passive radar is evaluated and compared in terms of cross‐eye gain and its probability. In order to ensure the jamming performance on both active and passive radars, a guideline for the setting of jammer parameters is proposed based on numerical simulations. The study can provide theoretical foundation for the design and application of cross‐eye jammers.
Comparison of the disk precession models with the photometric behavior of TT Ari in 2021-2023
Authors: Suleimanov V. F. , Belyakov K. V. , Perales J. M. , Neustroev V. V.
Published: September 2024

We present a comparative analysis of photometric observations of the cataclysmic variable TT Ari in its bright state obtained by the TESS orbital observatory in 2021 and 2023 and by ground-based amateur telescopes in 2022. The light curves from 2021 and 2022 are dominated by modulations with a period slightly shorter than the orbital one (negative superhumps), 0.13292 and 0.13273 d, respectively. From the data obtained in 2023, we see much stronger modulations appearing on a much longer timescale of a few days with an amplitude of up to 0.5 mag, compared to 0.2 mag in 2021. We also find the negative superhump variability with the period of 0.1338 d in the 2023 observations, but the significance of these negative superhumps is much lower than in the previous seasons. We detect less significant additional modulations with a period exceeding the orbital one (positive superhumps) in the observations from 2021 and 2022. Their periods are 0.15106 and 0.1523 d, respectively. We also find a previously unnoticed periodic signal corresponding to the orbital period of 0.13755 d in the TESS observations in 2021. Theoretical models of tidal precession of an elliptical disk predict a decrease in the precession period (and an increase in the period of the positive superhumps) with increasing disk radius, which is consistent with the observed photometric behavior of the system. This enables us to estimate the mass ratio q of the components in TT Ari to be in the range of 0.24–0.29. The tilted disk precession model predicts a period of nodal precession whose value is in general agreement with observations.
Arduino-Based Footstep Power Generation using Piezo - Electric Material
Authors: Sukanya K. , Prashanth Addagatla , Sravani Rangadhara , Vienala Sapthagiri , Gangadhar Jadala , Ugendhar A.
Published: September 2024

The main motive of this paper is the generation of electricity when people walk on a floor. Since the beginning of time, man has relied on and utilized energy at a growing pace for basic needs and wellbeing. As a result, numerous sources of energy have been used up and wasted. For densely populated nations like India, where the train stations, temples, and other public spaces are constantly crowded, the proposal for using human locomotion to use waste energy from foot power is crucial and very relevant. The benefits of a piezoelectric energy generator include the fact that it is easy and secure to use, does not cause any difficulties or issue to those using this system which is installed at different places, and is completely secure. When flooring is constructed using piezoelectric technology, the physical energy generated by pressure is captured by floor sensors and that energy is transformed to an electrical charge by piezo transducers, and then stored in batteries and used as a power source. Consider the energy that a person expends, which is squandered when he walks. The energy generated from piezo is preserved in a battery which can be used to charge a mobile phone, smart watches, or any electronic device. In this system, Atmega328 microprocessor is used which includes the Arduino IDE, a USB cable, and an LCD. The usage of this stored energy is restricted by an RFID module, and only authorized users have access to it in order to charge their electronic gadgets. When relay turned on, system get activate for charging mobile phone when we swipe a RFID tag. A person can access power for 60 seconds for one valid RFID tag swipe. This method of generating charge and storing it for later use promotes the growth of clean, green energy while also being considerate of the environment.
International energy conservation for smart cities development and sustainability in smart energy management using science and technology guidance system
Authors: Dhabliya Dharmesh , Al-Farouni Mohammed , Abed Z. , Davala Karunakumar , Hemamalini V. , Senthil Kumar R. , Tharmar S.
Published: September 2024

Unsustainable energy utilization is negatively affecting the planet’s atmosphere, eco-capacities, and present (just as future) prosperity around the globe. With such a great amount of work to be done, overseas environmental associations having some expertise in sustainable energy source every now and again need international volunteers to join their group. International energy conservation in sustainable energy source offers you the chance to gain up hands-on experience working with environmental people and have an immediate effect in the field of sustainability for Smart cities development. Regardless of whether it’s chipping away at hydropower frameworks in landlocked nations, helping spread the reception of Solar powered energy generators in nations that do not have the foundation for power or helping an organization on the cutting edge of another innovation, the open doors are astonishing and about perpetual. This research is much focused on the overseas Dimensional array based heuristic Fuzzy classification systems (DA-HFCS) science and technology guidance system which aims for sustainable energy source volunteer projects will offer one of kind social viewpoints that will upgrade and illuminate present growing perspective. The case studies have been evaluated and statistical analysis shows prominent outcomes.
Integrated Deep Learning Framework for Electric Vehicle Charging Optimization and Management
Authors: Mishra Nidhi , Shivaji Ghorpade Bipin
Published: September 2024

Vehicles that run on petrol face competition from electric vehicles (EVs), which are more environmentally friendly and consume less energy than gasoline-powered automobiles. If we can predict the states that have an effect on charging, we might be able to estimate how much charging electric vehicle owners will require in the future. It is also capable of operating and managing charging infrastructure, in addition to providing users with individualised charge capacity statistics based on where they are precisely at the moment. As a result of this, developing a reliable model that can accurately predict the charging state of an electric vehicle has become an important issue. Based on the findings of this study, it is recommended to employ a combination of machine learning and deep learning in order to guarantee that the charging process is both secure and dependable, and that the battery does not become overcharged or over-drained. It has been suggested that a process of feature extraction using Recursive Neural Networks (RNNs) be utilised in order to obtain sufficient feature information regarding the battery. The bidirectional gated recurrent unit framework (GRU) was then established in the research project in order to make an educated guess as to the state of the electric vehicle. It is because of the information that the GRU obtains from the output of the RNNs that the model is significantly more useful. As a result of its more straightforward structure, the RNN-GRU is less effective when it comes to computing. In light of the findings of the tests, it is clear that the GRU method is capable of accurately monitoring the mileage of an electric vehicle. Based on the results of numerous tests conducted in the real world, it has been demonstrated that a mixed deep learning-based prediction method has the potential to provide a faster convergence speed and a lower error rate than the conventional method of obtaining an estimate of the state of charge.
Performance Evaluation of Open Loop and Closed Loop Generation Rate Constraints in the Optimal Load Frequency Control of a Two-Area Thermal Power System
Authors: Naga Sai Kalyan Ch. , Bajaj Mohit , Varshney Niharika , Singh Arvind R.
Published: September 2024

This paper focuses on the optimal scheduling of the load frequency control (LFC) of a two-area thermal power system (TATPS) under load perturbations. For obtaining optimal LFC performance, presenting the three-degree-of-freedom proportional-integral-derivative controller (3DOFPID) as regulator. However, for the effective functioning of the 3DOFPID regulator, the water cycle algorithm (WCA) is enforced for the location of the suitable parametric values. Moreover, the TATPS is operated with the GRC structures of the open loop and closed loop individually to demonstrate the most effective model for optimal operation. Simulation results showcased that the closed-loop GRC structure dominates open-loop modeling in obtaining the optimal LFC. Further, the closed-loop GRC model for the robust performance of thermal units is validated by testing its performance under varying loads and jtluncertainty in the tie-line parameter.
Improvements in DC-DC Converters Using PID and Neural Network-Based Control Systems
Authors: Al-Jawahry Hassan M. , Al-Sadi Hafidh l. , Praveen Kumar P. , Senthil Kumar S. , Manikandan M. , senthil M.
Published: September 2024

DC to DC converters are apparatuses that can save electrical power for transforming DC to specific voltage. It can act as necessitate element among systems that operate at distinct voltage levels across the car and other automotive vehicles. By gradually raising the engine’s Hp output, the controller’s known as PID can give back the measured speed to the required speed. A PID controller is added to the converter, which enhances dynamic response and lowers steady-state error. The integrated controller (KI) will reduce the steady-state error, while a derivative controller (KD) will improve the transient responsiveness. However, in large-signal domains with a boost converter, the convex PID doesn’t work as desired. For this, PID-NN can be proposed. The “PID-NN controller” is capable of effectively enhancing the rejection of possible voltage input fluctuations. Additionally, the “PID-NN controller” has been found to be more effective in controlling the output voltage. Hence, the current work has been proposed on the same for high power application of DC to DC converter based on PID-NN.
Thermal Case Study of Solar-Powered Tractors Using Tetra Hybrid Nanofluid Flow Over Penetrable Expanding Surfaces Experiencing Non-Newtonianism Fluid for Thermal Technology Advancement
Authors: Obalalu A. M. , Avikal Shwetank , Bajaj Mohit , Abbas Amir
Published: September 2024

In this study, we conducted numerical simulations to investigate a novel approach for revolutionizing agricultural methods. The focus was on combining sun-powered tractors with Magnetohydrodynamics (MHD) in the flow of a tetra hybrid nanofluid (TETHNF). The TETHNF consists of Magnetite (Fe3O4), Silver (Ag), carbon nanotubes (CNT) nanoparticles suspended in Ethylene Glycol (EG). The utilization of TETHNF increases thermal transport properties, leading to intensified energy efficiency in agricultural equipment. Solar thermal radiation, entropy generation, heat generation, porous medium phenomena are adapted in analyzing the flow problem. Appropriate technique for nondimensionalization is employed to simplify the governing flow equations into a system of nonlinear ordinary differential equations (ODEs). To solve the modeled equations, the Galerkin approach is utilized. The results indicate that the fluid temperature rises as the radiation factor and thermal Biot number increase.
Seamless Migration from Grid-Connected Photovoltaic System to Autonomous Operation Boosted by Neural Network Innovations
Authors: Bachu Rahul , Rani D Shoba
Published: September 2024

In this research introduces a method to control strategy of a solar photovoltaic (PV) system connected to the grid. For Maximum Power Point Tracking (MPPT) of the PV array a voltage source converter (VSC) is used in this system. Load at PCC receives the AC power from DC power obtained from PV array. The Positive Sequence Components (PSCs) of unbalanced grid voltages are calculated to evaluate unit templates, and an Artificial Neural Network (ANN) controller is used to reduce Total Harmonic Distortion (THD). The standalone mode is selected when there is failure in the grid reduction in grid current distortions found to be less than 5%. Additionally, a multi-variable filter-based control algorithm is employed to compensate for harmonic load currents and ensure unity power factor operation. A synchronization control ensures smooth connection to the grid when available and disconnection when unavailable. Experiments were conducted under various steady state as well as dynamic conditions. Artificial neural network (ANN) is used as extensive method which give better performance and total harmonic distortion.
A New Standalone Photovoltaic Inverter Configuration with Low Harmonic Distortion under the Partially Shaded Condition
Authors: Anusha M. , Shobha Rani D.
Published: September 2024

This paper proposes a new standalone photovoltaic (PV) inverter topology for optimal solar power usage, which includes a new maximum power point tracking (MPPT) technique based on shading pattern analysis utilizing an adaptive neuro-fuzzy inference system (ANFIS), SIMO converter, and multilayer inverter (MLI). The suggested MPPT scheme is tested in partially shaded conditions. The PV voltage is then sent to the SIMO converter, which generates four distinct voltages (V1, V2, V3, and V4). The MLI reduces harmonic distortion by converting the SIMO converter’s dc output voltage to ac. Artificial Neural Networks (ANN) are employed in traditional systems to reduce harmonic distortion by 3.24 %. Photovoltaic inverter configuration using ANFIS is proposed in this paper. The ANFIS reduces overall harmonic distortion by 2.04 %, which is significantly better than the ANN. This MLI has eight switching devices and delivers 31-level ac output voltage with very low harmonic distortion. The particle swarm optimization (PSO), MPPT scheme harvests maximum power in any weather condition, and MLI feeds the utility, which is a key aspect, linked with the proposed topology. The performance of the MLI and converter is programmed using an FPGA Spartan trainer kit.
Use of Nanofluid Cooling Techniques Involving Aluminium-Metal Oxide (Al2O3) to Enhance Photovoltaic Panel Efficiency
Authors: Ahila R. , Dhabliya Dharmesh , Al-Jawahry Hassan M. , Obaid Mohammed Kadhim , Bobba Phaneendra babu , Vivek V.
Published: September 2024

The research looks into using an aluminum-metal oxide (Al2O3) nanofluid to cool down photovoltaic (PV) panel surfaces. Researchers looked into how cooling affected the performance of PV panels when exposed to the most sunlight using an alternative method that let them cool both sides of the panel at the same time. They used aluminum-metal oxide (Al2O3) nanofluid cooling. When both the front and back of PV panels were cooled at the same time, the average panel temperature dropped from 54 C (when the panels weren’t cooled) to 24 C. It was also found that the proposed Al2O3 Nanofluid cooling method could be paid for. The PV panel’s surface and ability to clean itself are its main benefits, which help explain the average power output. A water-cooling system like this can help keep a photovoltaic panel cool while it’s working, which makes it more efficient.
The Contribution of Active Cooling on Perovskite Photovoltaic Cell Performance and Its Impact on The Power Production
Authors: Almusawi Muntather , Hussein Abbas Hameed Abdul , Bobba Phaneendra babu , Subburam S. , Maruthamuthu R. , Vivek V.
Published: September 2024

The main goal of this study is to investigate techniques for improving the electrical efficiency of a photovoltaic (PV) panel in a controlled laboratory environment. The efficiency of a photovoltaic (PV) panel is impacted by both the magnitude of solar radiation it receives and the surrounding temperature. Essentially, the electrical efficiency of a photovoltaic (PV) panel will decline as its operating temperature increases due to these conditions. The performance of photovoltaic (PV) panels diminishes when water passes over the frontal surface of the panel. In order to address this issue, a direct current water pump is utilized. This system employs water cooling to efficiently control internal temperature, thereby improving power generation. The investigated cooling method improves the average electricity production due to the self-cleaning surface of the PV panel. Furthermore, the economic viability of the technique was evaluated.
Conception of Voltage Interruption Signal using Continuous Wavelet, Discrete Wavelet, and Wavelet Packet Analysis
Authors: Priyadarshini M. S. , Bajaj Mohit , Avikal Shwetank , Vishnuram Pradeep
Published: September 2024

This paper focuses on conception of voltage interruption signal in different domains. According to IEEE Standard 1159, Interruption is categorised under short-duration voltage variations in the description of classification of ‘Power quality Disturbances’. Power quality disturbances affect the quality of electric power supplied by utilities to power consumers. An interruption represents loss of voltage for a duration of time from 0.5 cycles to a duration less than 1 minute. This variation in supply voltage will affect the connected load. This acts as a significant challenge in terms of stability and reliability of power supply. Signal processing techniques of Fourier transform (FT), Short-Time Fourier transform (STFT), continuous wavelet transform (CWT), discrete wavelet transform (DWT) and Wavelet Packet Transform (WPT) are applied to the voltage signals in MATLAB. This approach results in analysis and obtaining characteristics of this disturbance of interruption. This work focuses on extracting information from voltage signal resulting in detection of power quality issues in different perspectives. Continuous wavelet transform provides a time- frequency representation of signals. Discrete wavelet transform is based on multi-resolution analysis resulting in breaking down a signal into different frequency bands. For finer resolution, wavelet packet transform is used. These different transforms result in better understanding of the disturbance present in the signal. MATLAB platform is used to implement FT, STFT, CWT, DWT, WPT on interruption disturbance. Based on the same approach, conception of different signals time domain signals having practical relevance and physical significance can be analyzed to extract information in different perspectives.
Individual subordinate for drug reminder system for self-sufficient seniors citizens using IOT with cloud
Authors: Miniappan P. K. , Krishnan R. , Swaraja K. , Krishna S. Gopala , Fallah Mohammed H.
Published: September 2024

The Internet of Things is a virtual organization with network availability that permits those things to gather and share information utilizing programming, sensors and distributed computing innovation. The Internet of Things permits things to be paid attention to and controlled somewhat through existing organization framework. The Internet of Things is being taken on by different ventures, especially in the medical care area. By examining the information, this paper represents that an online-based update framework was created. It is intended to assist patients who with having neglected to take their medicine. With regards to friends and family, people generally attempt to keep them fit and sound. Be that as it may, imagine a scenario in which they neglect to take their drug and become sick therefore. In this way, numerous patients need medication at the medical care community, and it is hard to remind every patient to take medication at a specific time. Conventional technique requires a ton of human work to remind the patient to take medication. Be that as it may, in this computerized age, people are utilizing machines to play out specific undertakings. The rest of the tablet has a large number of purposes, including use by patients at home, by doctors in clinics, and in different settings. This paper gives a development pill buildup framework, which dispenses with irregularity in taking the medicine and reminds the patient to take the prescription at the endorsed time and in the recommended number of portions.In this methodology, clients change from human memory to robotized checking. Patients are encountering an expanded frequency of wellbeing related difficulties related with non-prescription drugs like nonprescription pills. particularly as the patient ages. Monitoring taking the ideal pill with impeccable timing consistently can be a difficult encounter for an old individual as it isn’t the case simple for a youngster. Patients frequently neglect to stick to their drugs since they neglect to take them, take them at some unacceptable time, or even take excessively.
An Accelerated Aquila Optimizer for Maximum Power Point Tracking of PV Systems under Partial Shading Conditions
Authors: Belmadani Hamza , Merabet Oussama , Khettab Sofiane , Maindola Meenakshi , Bajaj Mohit , Oubelaid Adel
Published: September 2024

In this work, an improved version of the recent Aquila Optimizer was designed for Maximum Power Point Tracking. The new algorithm was tested on a standalone PV system under several complex partial shading scenarios. A comparative study was conducted to evaluate efficiency, robustness, and convergence speed against the PSO, and the standard AO algorithms. The results indicate that the proposed Accelerated Aquila Optimizer (AAO) generally outperformed its competitors, particularly in terms of convergence time.
Implementation of different MPPT techniques in solar PV tree under partial shading conditions
Authors: Athithan A. Krishna Kumar , Sivalingam K. , Muhsen Muntadar , Lavanya G. , Bandhavi Ch.
Published: September 2024

This study frames the plan and gives an enlightening exhibit of the proposed photovoltaic autonomous system in view of daylight under fluctuating natural circumstances. The special PV-tree structure in view of daylight, the most outrageous power point following (MPPT) procedure, and the DC converter make up the recommended system. The sun based controlled PV tree creates low voltage thus. To propel the expected estimation of voltage level, a DC help converter is used. In this paper, different MPPT parts, like irritation and notice (P&O), consistent conductance (INC), and a twisting reason capacity association (RBFN)- based cerebrum association (NN), are utilized to get the legitimate commitment cycle for isolating the ideal power from the sun-situated PV tree. Through ceaseless application and MATLAB/SIMULINK programming, the expected sun oriented controlled photovoltaic tree-based energy assortment system is acknowledged. The similar examination of the three recently depicted strategies’ entertainment eventual outcomes exhibits the appropriateness of the proposed system comparable to RBFN. Contrasted with the P&O strategy and the INK approach, the RBFN-MPPT gives a critical improvement in following capability of 6.0% and 5.72% at 1000 W/m2 irradiance condition. It very well may be concluded from the propagation and steady outcomes that, in contrast with the other two calculations, the RBFN-based NN gives predominant following capability and less faltering.
Maximum power point taking of PV arrays underpartial shading conditions using SEPLC converter
Authors: Balasundaram N. , Sivalingam K. , Karthikeyan R. , Medha Deorari Maha , Ali M.D. Ashraf , Hussain Muhamed
Published: September 2024

Outstanding Common methodological failure to guarantee successful implementation of the most obvious power point under most covering circumstances. As a result, the power generated as well as the resilience of the solar energy generation system drastically decreased. Under split concealing conditions, the solar controlled charger may be used, but generally speaking, the most absurd power point following technique (GMPPT) is needed. This study looks into a superior upset and notice technique that outperforms the conventional following evaluations for tracking the majority of insane power point solar presentations. This approach also performs better beneath divided covering settings. Initially, GMPP is arranged by moving the control sign forward, and after a while, the control shifts to the adjacent MPP stage. A single completed key inductance converter serves as the dc interface for MPP Following in the continuous overview. In comparison to a conventional buck-help converter, this one is a buck-help incited converter, making it more suited for solar applications. An illuminated charger has been demonstrated, and somewhat obfuscating effects are carried out. Mother MATLAB/Simulink provides assistance in displaying the spread results of the execution of modified computations.
THD Analysis in 3ph, 2-bus Distribution Network with RL-RC loads &UPQC
Authors: Pasha Abdul , Reddy Damodhar , Jagan Mohan V. Chandra , Goud L. Rajasekhar , Manohar S. , Varalaxmi M.
Published: September 2024

Necessity of a distribution model is to withstand the customer requirements for energies after gaining huge electricity from transmissions and substation networks. Many of the networks are implemented to match with the supplies reliability case.Switching, controlling and protection equipments are introduced to enhance the distribution systems performance. Most of the power quality improvement devices are introduced in power system network to deal with the issues which are takes place at either ends of the power system network. This work mainly focuses on 3ph-2bus model with RL-RC loads and conditioner device. The conditioner device introduced here is to enhance the system response interms of reduced Total Harmonic Distortion (THD) levels, improved real-reactive coefficients with various load models.PQ analysis is done with both the load combinations to obtain the enriched response of a three phase two bus system.