bluuebunny/crossref_metadata_2025 huggingface dataset:
Energy Management Strategy Based on Model Predictive Control‐Differential Evolution for Hybrid Energy Storage System in Electric Vehicles
Authors: Tang Yaohua , Xie Junchao , Shen Yongpeng , Sun Songnan , Li Yuanfeng
Published: June 2024

This paper addresses challenges related to the short service life and low efficiency of hybrid energy storage systems. A semiactive hybrid energy storage system with an ultracapacitor and a direct current (DC) bus directly connected in parallel is constructed first, and then related models are established for the lithium‐ion battery, system loss, and DC bus. Based on the multiobjective evaluation function, a hybrid energy storage system Model Predictive Control‐Differential Evolution (MPC‐DE) energy management method is proposed. Experiments were conducted under China Light‐Duty Vehicle Test Cycle‐Passenger Car (CLTC‐P) and Highway Fuel Economy Test (HWFET) driving cycles. The experimental results show that compared with other methods, this strategy can effectively reduce the loss of lithium‐ion battery and ultracapacitor hybrid energy storage system and improve the system efficiency.
Fast estimation of array shape and direction of arrival using sparse Bayesian learning for manoeuvring towed line array
Authors: Pan Xiang , Wang Haoran , Li Min , Zhou Jie , Li Yuxiao , Xu Weize
Published: June 2024

The sparse Bayesian learning (SBL) algorithm has demonstrated its advantage in the direction of arrival (DOA) estimation. However, it requires a lot of computational cost to iteratively estimate the SBL hyperparameters from measurement data. This paper focuses on fast estimating the array shape and DOAs using SBL for a short towed line array (TLA) during manoeuvring. A parabolic model is utilised to describe the bent TLA whose bow as a hyperparameter is estimated in the SBL iterative process. Then, the basis vector pruning strategy is considered in the iteration to reduce computational cost by neglecting the impossible directions of signal presence. The converged speed of the joint estimation algorithm is further improved by approximately calculating the posterior probability density with the message passing approach. The effectiveness of the optimising joint estimation algorithm is verified using the experimental results from South China Sea.
RETRACTED: Creating algorithms to optimize power output in weather station solar panels
Authors: Xayitov Azizjon , Sobirov Muslimjon , Juraev Nurmakhamad , Asraev Mukhammadmullo , Sadikova Munira , Abdurasulova Dilnoza
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Numerical study of 2D and 3D flow after NASA 4412 airfoil
Authors: Madaliev Murodil , Usmonov Mavlonbek , Fayzullaev Jamshid , Khusanov Yunusali , Radjapov Komil , Sattorov Abdusalom , Jalilov Inomjon
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Regulation of thermal physical properties multicomponent building materials
Authors: Salimjonov Jasurbek , Mamatov Khamidulla , Karimova Mukhtasar , Abdullayev Ulugbek , Nigmatov Ulugbek , Yusupov Abdulkhamid , Otakulov Bakhromjon
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Comparison of turbulence models for the axisymmetrical separated boundary layer problem
Authors: Madaliev Murodil , Usmonov Mavlonbek , Soliyev Oybek , Otajonov Jamshidbek , Kadirov Khasanboy , Otakhanova Zamira , Mavlonova Dilnoza
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Analysis of jet currents using the SST turbulence model
Authors: Madaliev Murodil , Usmonov Mavlonbek , Ismoilov Muslimbek , Bilolov Inomjon , Israilov Sharobiddin , Abdullajonova Nurzoda , Rajabova Khurshida
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Basing the fuel saving and environmental performance of solar air heater collectors
Authors: Toxirov Muxammadrafiq , Uzbekov Mirsoli , Boynazarov Bekzod , Madaminov Javlonbek , Nasretdinova Feruza , Hamidjonov Zuhriddin
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Optimization of operation modes of renewable energy facilities to provide energy for agriculture
Authors: Porubay Oksana , Lazareva Marina , Abdullayev Temurbek , Mamadaliyev Nurillo , Xoitqulov Abdumalik
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Improving the environmental taxation system
Authors: Yekimov Sergey , Mohammad Rehabi , Bugay Nadia , Ratynskyi Vadym , Shmorgun Leonid , Ridel T.M.
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: An empirical examination of multifactor linkages for the modeling and forecasting of health care management operations
Authors: Jakhongirov Ilimdorjon , Khudaykulov Akmal , Abdurakhmanova Shokhida , Ruzikulova Dilnoza
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Investigating the effect of guide construction on yarn tension
Authors: Matismailov S.L. , Aripova Sh.R. , Akhmedov Kamol , Korabayev Sherzod , Makhkamova Sh.F. , Valieva Z.F.
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Effect of ring-spinning machine working mechanisms on product quality
Authors: Husanhon Bobojanov , Sabirjon Yusupov , Mohichekhra Boltaeva , Gulnoza Rashidova
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: The effect of agricultural defoliation on cotton fiber technological quality indicators
Authors: Ubaydullayev Madaminjon , Tashmirzaev Kadirjon , Ergashev Yuldashali , Toshtemirov Kasim , Axmadjonov Dilshod , Raximjonov Azizbek
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: The methodological principles for developing environmental education in the republic of Uzbekistan
Authors: Dilova Nargiza , Kosimova Manzura , Raxmanova Vazira , Hotamova Maftuna , Kuldosheva Nigora
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
RETRACTED: Research of anthroponymy of the Uzbek language
Authors: Koziyeva Iqbol
Published: June 2024

See the retraction notice E3S Web of Conferences 538, 00001 (2024), https://doi.org/10.1051/e3sconf/202453800001
Adaptive and viable characteristics of microclonal seedlings of hyperhylophyte of Suaeda arcuate under in vitro conditions
Authors: Khalbekova Khulkar
Published: June 2024

This article presents data on the introduction of in vitro culture and microclonal propagation of plants identified in the group of hyperhalophytes belonging to the Suaeda arcuata Bunge. This study was carried out to optimize the composition of nutrient media for the main stages of reproduction in vitro, as well as studies on the rooting and adaptation of regenerants for species of the Suaeda arcuata from axillary or apical buds, but more often from stem segments with a node. In this work, hormones of the cytokinin and auxin series, or a combination of them, were added to the nutrient environment for growth activation. The cultivation of regenerates on the environment 1/2 MS + 1 mg/l 6-BAP + 0.3 mg/l IAA + 2,4-D showed the best effect on the growth of regenerants, created the possibility of obtaining the maximum amount of biomass. Our study indicated that Suaeda arcuata is a highly salt-tolerant species that survived at 300 mM NaCl most conducive to plant growth, where the quantity of Pro and Met were bigger than the control.
Efficiency of pre-planting treatment of grafted and own-rooted grape seedlings when grown in various soil and climatic conditions
Authors: Magomadov Andi , Grigoriev Alexander
Published: June 2024

In the conditions of the Rostov region and the Chechen Republic in 2021-2023. Experiments were carried out to study the influence of pre-planting treatment of the basal (root) part of seedlings of the varieties Cabernet Sauvignon (grafted crop) and Levokumsky (root crop). The American phylloxera-resistant variety Kober 5BB was used as a rootstock for the Cabernet Sauvignon variety. As a result of the research, it was found that the yield of Cabernet Sauvignon seedlings from a grape school increased in all variants with the use of drugs and was on average higher by 16.9-25.2%, which is a significant indicator in grafted viticulture. The results of research experiments conducted on self-rooted seedlings of the Levokumsky variety show identical results. Treatment with Slavol increased the yield of rooted seedlings from the school in all concentrations. The concentration of 0.4% showed the greatest efficiency (54.4% versus 29.0% in the control), however, at concentrations of 0.5% and 0.6% a decrease in yield was observed, but the yield was higher than in the control, 52 .4% and 40.4% respectively.
Fuʼcupping Physical Permeation-Enhancing Technique Enhances the Therapeutic Efficacy of Corydalis yanhusuo Gel Plaster
Authors: Cao Guoqiong , Zhu Zilan , Yang Dingyi , Wu Wenyu , Yang Fangfang , Liu Yao , Xu Jian , Zhang Yongping
Published: June 2024

Corydalis yanhusuo, a traditional Chinese medicine, is widely used to treat various pains, and its active ingredients are alkaloids. This study aimed to develop a new type of transdermal gel plaster containing the extract of C. yanhusuo. Studies have shown that Fuʼcupping physical permeation-enhancing technique can promote the penetration of alkaloids and improve the efficacy of drugs. A transdermal gel plaster containing the extract of C. yanhusuo was prepared and optimized using an orthogonal experimental design. The skin permeation ability of the gel plaster was studied in vitro, while the anti-inflammatory and analgesic effects of the prepared patch alone or with Fuʼcupping physical permeation-enhancing technique were evaluated in a rat model. The formulation of a gel plaster containing C. yanhusuo extract was successfully prepared with an optimized composition consisting of glycerin (15 g), sodium polyacrylate (2 g), silicon dioxide
(0.3 g), ethanol (2 g), aluminum oxide (0.1 g), citric acid (0.05 g), the C. yanhusuo extract (3 g), and water (15 g). The cumulative transdermal permeation of dehydrocorydaline, corypalmine, tetrahydropalmatine, and corydaline in 24 h was estimated to be 569.7 ± 63.2, 74.5 ± 13.7, 82.4 ± 17.2, and 38.9 ± 8.1 µg/cm2, respectively. The in vitro diffusion of dehydrocorydaline and corydaline followed the zero-order kinetics profile, while that of corypalmine and tetrahydropalmatine followed a Higuchi equation. The prepared gel plaster significantly reduced paw swelling, downregulated inflammatory cytokines, and mitigated pain induced by mechanical or chemical stimuli. The Fuʼcupping physical permeation-enhancing technique further improved the anti-inflammatory and analgesic effects of the patch. The combined application of the Fuʼcupping physical permeation-enhancing technique and the alkaloid gel plaster may be effective against inflammation and
pain.
Social media and the rise of radical right populism in Portugal: the communicative strategies of André Ventura on X in the 2022 elections
Authors: Prior Hélder
Published: June 2024

In the context of media studies, the theme of populism in its relation to digital media has gained a great prominence in the last decade. The emergence of new populist political actors that use direct communication to appeal to the people without intermediaries, as well as the consolidation of digital social networks, involve interfaces between media and political processes that we intend to observe, having as object the scenario of the Portuguese Legislative Elections of 2022. Indeed, in this article we address how the populist communication of André Ventura, leader of the Portuguese radical right party, Chega, is constructed during the election campaign period. To analyze the discursive mechanisms of populism in the digital realm, we conducted a study of the corpus derived from André Ventura’s posts on the social media platform X, previously known as Twitter, during the month of January 2022, coinciding with the electoral campaign period. We sought to describe the discursive strategies present in the construction of the representation of “people”, considering the polarization “us versus them”, and examine the meanings of the world mobilized by populist communication in opposition to out-groups identified as “enemies” of the pure or authentic people. The results of our content analysis, focusing on the 143 tweets constituting Ventura’s narrative during the election period, indicate parallels with the discursive tactics of radical right populism. These include a narrative emphasizing conflict between “us and them,” a spotlight on the dysfunctions within the democratic system, the glorification of integrity in the face of political corruption, nativist discourse, and a prevailing tendency towards negative communication.
Those with constant property rights have perseverance: China’s land tenure reform promotes environment-friendly farming practices
Authors: Zheng Linyi
Published: June 2024

Few studies have used large-scale household-level panel data to quantify the impact of land tenure reform on environment-friendly farming practices from a chemical fertiliser reduction perspective. This study attempts to fill this gap by exploring the relationship between land certification and farmers’ chemical fertiliser use. It employs nationally representative panel data from the Chinese Family Database and a propensity score matching and difference-in-difference approach. The results show that land certification significantly reduces the usage of chemical fertilisers, mainly by increasing long-term investment, promoting land renting, and inhibiting off-farm employment. This effect varies greatly between farmers with and without land certification experience before the new round of land certification, although no significant difference exists based on whether farmers have previous land adjustment experience. Furthermore, land certification also helps increase the probability of straw recycling and farm manure use. Accordingly, developing countries can combine land tenure reform with environment-friendly farming practices. Through large-scale land certification reforms, and the continuous enhancement of land tenure security, a solid foundation for a land tenure system for sustainable agricultural development can be established.
First step toward a parameter-free, nonlocal kinetic energy density functional for semiconductors and simple metals
Authors: Bhattacharjee Abhishek , Jana Subrata , Samal Prasanjit
Published: June 2024

The accuracy of orbital-free density functional theory depends on the approximations made for a Kinetic Energy (KE) functional. Until now, the most accurate KEDFs are based on non-local kernels constructed from the linear response theory of homogeneous electron gas. In this work, we explore beyond the HEG by employing a more general kernel based on the jellium-with-gap model (JGM). The proposed functional incorporates several new features, such as (i) having the correct low momentum(q) limit of the response function for metals and semiconductors without any modeling term, (ii) the underlying kernel is density-independent, and most importantly, (iii) parameter-free. The accuracy and efficiency of the proposed JGM NL-KEDF have been demonstrated for several semiconductors and metals. The encouraging results indicate the utility and predictive power of the JGM kernel for NL KEDF developments. This approach is also physically appealing and practically useful as we have presented a general formalism to incorporate the gap kernel in all existing Lindhard-based functionals.
Impact of reduced gravity on food mixing and emptying in human stomach: A numerical simulation study
Authors: Li Changyong , Chen Xiao Dong , Xiao Jie , Deng Renpan , Jin Yan
Published: June 2024

Gravitational conditions in space diverge significantly from those experienced on Earth, and these alterations may have significant effects on gastric digestion, ultimately affecting the health of astronauts. To understand these effects, the behavior of mixing and emptying in the human stomach under both reduced and normal gravity is investigated numerically. The solver utilized in this study is developed based on the open-source toolbox OpenFOAM. The gastric contents consist of water and a soluble food bolus characterized by a density of 1100 kg m−3, viscosity of 10−5 m2 s−1, and diffusivity of 3.09 × 10−9 m2 s−1. The effects of gravity magnitude, initial food bolus location, and terminal antral contractions (TACs) are studied. The numerical results demonstrate that the food retention rate can be increased by up to ∼20% in the initial 6 min as normal gravity is reduced to zero gravity. The numerical results support that gravity favors the emptying of the food through the pylorus. The distributions of food concentrations and pH are also significantly influenced by the gravity condition. Under zero gravity conditions, food in the distal stomach is quickly emptied due to the strong flow dynamics in the antrum. A delay of approximately 6 min is observed when the food bolus is initially located in the proximal stomach. TACs efficiently enhance the emptying and mixing of the food in the distal stomach, while their effects on the proximal stomach are marginal.
Gravity wave interaction with a heaving membrane above a thick porous bed
Authors: Suhail Saniya , Barman Koushik Kanti , Saha Sunanda
Published: June 2024

The present study analyzes diffraction and radiation phenomena of oblique waves interacting with a heaving floating membrane in the presence of a thick porous bed. Following the linear water wave theory, the physical problem is framed mathematically. The significance of the article resides in the following: (1) progressive wave analysis (water and membrane-covered region), (2) solving the boundary value problem (BVP) using the matched eigenfunction expansion method for diffraction and radiation problems, and (3) numerical illustration of various hydrodynamic coefficients for different membrane and porous bed parameters. Bragg scattering with varying frequency is observed for smaller values of membrane tension. Also, the present study demonstrates that the number of oscillations experienced by the reflection coefficient increases proportionally with the length of the membrane. Furthermore, cut-off membrane properties exist at a given frequency for which the zero minimum of wave force is obtained. Also, the porous bed's thickness impacts wave reflection and membrane deflection significantly. Thus, we found that the maximum reflection is observed for a fully permeable bed; however, it decreases with a decrease in the porosity of the porous medium because of its dissipative nature. Conversely, the added mass and damping coefficient increases with increased membrane length. The collective numerical observations for both diffraction and radiation provide insight into resonance phenomena, the role of membrane properties, and the intricate relationship between wave characteristics and membrane properties. The findings from this study could assist geologists and marine engineers in designing and managing ports and harbor infrastructure.
Numerical study on thermocapillary flows of power-law fluids with the lattice Boltzmann method
Authors: He Jiapeng , Wang Lei , Xu Bo , Li Dinggen
Published: June 2024

In this paper, we numerically simulate the thermocapillary motion of a two-phase non-Newtonian power-law fluid by using a phase-field-based lattice Boltzmann (LB) model. In this model, a total of three LB evolution equations are used to solve the macroscopic equations. One of them is used to solve the Allen–Cahn equation for describing the phase interface variation, one is used to solve the incompressible Navier–Stokes equation for describing the non-Newtonian power-law fluid dynamics. In addition, the last LB equation is used to solve the temperature field, where the collision terms are modified and improved to take into account the effect of thermodynamic parameter comparisons. In particular, we consider a parabolic relation rather than a linear one between the interfacial tension and the temperature in this study. Furthermore, two numerical cases were used to validate this LB model: the thermocapillary flow of two superposed planar fluids and the flow of power-law fluid between two parallel plates. It shows that the numerical solutions computed by this model agree well with the theoretical solutions, thus proving the accuracy and feasibility of this LB model. Afterward, we used this method to simulate the thermocapillary motion of bubbles in a microchannel filled with power-law fluids, and the results show that the model is accurate in studying two-phase power-law fluids. In addition, we consider the differences in flow patterns between Newtonian and non-Newtonian fluids and discuss the effects of factors such as viscosity ratios, temperature gradients, inlet velocities, and power-law index on the thermocapillary migration of bubbles. The results show that the above-mentioned factors have a great influence on the position, velocity, and equilibrium flow field of the bubbles.
The boundary layer in the scale-relativity theory of turbulence
Authors: Nottale Laurent , Lehner Thierry
Published: June 2024

We apply the scale-relativity theory of turbulence to the turbulent boundary layer problem. On the basis of Kolmogorov's scaling, the time derivative of the Navier–Stokes equations can be integrated under the form of a macroscopic Schrödinger equation acting in velocity-space. In this equation, the potential coming from pressure gradients takes the form of a quantum harmonic oscillator (QHO) in a universal way. From the properties of QHOs, we can then derive the possible values of the ratio of turbulent intensities in the shear flow, R=σu/σv=1.35±0.05. We show that the Karman constant is theoretically predicted to be κ=1/R3, in good agreement with its typical value κ≈0.4 and its observed possible variations. Then, we find a generic solution of our equations for the normal Reynolds stress pure profile, which closely fits the data from laboratory and numerical experiments. Its amplitude, μB, is the solution of an implicit equation that we solve numerically and analytically through power series, yielding to lowest order μB−1.35≈−2(R−1.35), plus smaller contributions from other parameters. Consequently, the correlation coefficient of velocities is given by ρ≈1/R μB2≈1/R3≈0.4 and is therefore equal to the Karman constant to lowest order, in agreement with its universally measured value ≈0.4 for all shear flows. We also find a general similarity between turbulent round jets and boundary layers in their outer region. These results therefore apply to a wide set of turbulent flows, including jets, plane boundary layers, and, to some extent, channels and pipes.
Experimental study on the blade tip clearance sensitive effect in compressors with different loading levels
Authors: Yu Xianjun , Hou Jingtao , An Guangfeng , Liu Baojie
Published: June 2024

Rotor tip clearance has significant influences on both the performances and internal flow fields of compressors. To explore the relationship between these influences and compressor loading levels, four single-stage compressors, with loading levels ranging from 0.36 to 0.59, have been designed for experiments. Compressor characteristics and flow fields at blade row inlet and outlet planes were measured under two rotor tip clearance conditions: 1% and 2.2% blade height. Based on these experimental results, an analysis was conducted to examine the influence of loading levels on the sensitivity to rotor tip clearance. The experimental results indicate that increase in the loading level enhances the sensitivity of compressor stage characteristics to rotor tip clearance. At the design point, an increase of 1% in the rotor tip clearance causes reductions of 1.3% in the stage efficiency and 2.3% in the stage static pressure rise when the loading level is 0.36. However, when the loading level is 0.59, the reductions are 2.9% and 3.4% in stage efficiency and stage static pressure rise, respectively. Increasing the rotor tip clearance brings the static pressure rise at the rotor tip region closer to its limit, resulting in a rapid growth of local loss. This trend becomes increasingly pronounced with higher compressor loading level.
Computing with magnetic tunnel junction based sigmoidal activation functions
Authors: Bao Youwei , Yang Shuhan , Yao Zhaoyang , Yang Hyunsoo
Published: June 2024

Nonlinear activation functions play a crucial role in artificial neural networks. However, digital implementations of sigmoidal functions, the commonly used activation functions, are facing challenges related to energy consumption and area requirements. To address these issues, we develop a proof-of-concept computing system that utilizes magnetic tunnel junctions as the key element for implementing sigmoidal activation functions. Using this system, we train a neural network for speech separation. When compared to state-of-the-art digital implementations, our scalable circuit has the potential to consume up to 383 times less energy and occupy 7354 times smaller area. These results pave the way for more efficient computing systems in the future.
Elongasome core proteins and class A PBP1a display zonal, processive movement at the midcell of
Streptococcus pneumoniae
Authors: Perez Amilcar J. , Lamanna Melissa M. , Bruce Kevin E. , Touraev Marc A. , Page Julia E. , Shaw Sidney L. , Tsui Ho-Ching Tiffany , Winkler Malcolm E.
Published: June 2024

Ovoid-shaped bacteria, such as
Streptococcus pneumoniae
(pneumococcus), have two spatially separated peptidoglycan (PG) synthase nanomachines that locate zonally to the midcell of dividing cells. The septal PG synthase bPBP2x:FtsW closes the septum of dividing pneumococcal cells, whereas the elongasome located on the outer edge of the septal annulus synthesizes peripheral PG outward. We showed previously by sm-TIRFm that the septal PG synthase moves circumferentially at midcell, driven by PG synthesis and not by FtsZ treadmilling. The pneumococcal elongasome consists of the PG synthase bPBP2b:RodA, regulators MreC, MreD, and RodZ, but not MreB, and genetically associated proteins Class A aPBP1a and muramidase MpgA. Given its zonal location separate from FtsZ, it was of considerable interest to determine the dynamics of proteins in the pneumococcal elongasome. We found that bPBP2b, RodA, and MreC move circumferentially with the same velocities and durations at midcell, driven by PG synthesis. However, outside of the midcell zone, the majority of these elongasome proteins move diffusively over the entire surface of cells. Depletion of MreC resulted in loss of circumferential movement of bPBP2b, and bPBP2b and RodA require each other for localization and circumferential movement. Notably, a fraction of aPBP1a molecules also moved circumferentially at midcell with velocities similar to those of components of the core elongasome, but for shorter durations. Other aPBP1a molecules were static at midcell or diffusing over cell bodies. Last, MpgA displayed nonprocessive, subdiffusive motion that was largely confined to the midcell region and less frequently detected over the cell body.
Rwanda One Health Achievements and Challenges: The Final Push Toward Policy Implementation
Authors: Shyaka Anselme , Igihozo Gloria , Tegli Momo , Ntiyaduhanye Esther , Ndizeye Elisée , Umuhoza Ange , Knight-Jones Theo , Richards Shauna
Published: June 2024

The Rwanda Government has adopted the One Health (OH) approach to ensure optimal preparedness and response to complex health challenges. Despite the approach adopted by government institutions, academia, and other stakeholders, there are few insights into the status of OH research and innovation, education, governance, and implementation of OH solutions. The Capacitating OH in Eastern and Southern Africa (COHESA) project aims to enhance the capacity of local institutions to bring about optimal solutions to OH challenges. This case report aimed to provide baseline information about the adoption and implementation status of Rwanda’s research and innovation, governance, and education related to the OH approach. An evaluation tool collected baseline information from selected institutions’ representatives in key informant interviews and focus group discussions. Moreover, a review of grey and published literature on One Health in Rwanda was conducted. A wide range of actors, including parastatal institutions, academia, NGOs, and private sectors, are involved in OH activities in Rwanda. Various institutions of higher learning education mainly use extracurricular activities to deliver OH education. However, the University of Global Health Equity has adopted an innovative approach to OH education by integrating OH in the medical curriculum and implementing a graduate degree with an OH concentration. Rwanda is among the few countries with an OH policy that is essential to guide actions and distribute responsibilities among various actors. However, anchoring the unit responsible for OH governance in the prime minister’s office could boost OH institutionalization and facilitate coordination and collaboration among OH stakeholders.

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Modelling of the conductor vaporization process for single-turn coil
Authors: Ge Aoming , Pan Ziying , Liu Shaobo , Shang Huidong , Huang Yihang , Lv Yiliang , Peng Tao
Published: June 2024

Single-turn coil (STC) is a destructive pulsed magnet aiming at 100–300 T ultra high magnetic field. A conductor vaporization model is proposed for STCs. Using this model, the vaporization characteristics at different inner diameters and discharge currents are investigated. The results show that vaporization always starts from the inner surface of the conductor, but only from the interior of the conductor at higher current and smaller inner diameter. Moreover, the vaporization causes the electrical conductivity to decrease, leading the area with the highest current density to advance to the interior of the conductor. By comparison, the vaporization start time decreases as the current increases and the inner diameter decreases, and the vaporization start time at different diameters tends to coincide as current increases. The model in this study is validated by checking the consistency of the magnetic flux density at the central axis of STCs of the simulation results and the experimental data.
Enhancing connectivity/mobility in WBAN applications through detachable wearable multi-band MIMO antenna
Authors: Saeidi Tale , Saleh Sahar , Timmons Nick , Karamzadeh Saeid , Al-Gburi Ahmed Jamal Abdullah , Razzaz Faroq
Published: June 2024

The connectivity and mobility of a miniaturized multi-band four-port textile leaky wave multiple-input multiple-output (MIMO) antenna designed on a layer of denim (εr = 1.6, tanδ = 0.006) is enhanced by integrating it with two detachable spiral buttons designed on circular PTFE substrate (εr = 2.1, tanδ = 0.001). The connectivity and mobility enhancement of the proposed antenna is evaluated in terms of radiation and diversity parameters. Nested hexagonal split rings behind the buttons, U-shaped slots on textiles, a comb-shaped neutralization network, and an aperture-coupled feed technique are utilized. The unique structure of the buttons on a rigid substrate and the leaky wave antenna on the textile and their integration, the periodic nested elliptical and circular split ring resonators (CSRRs) slots on the aperture coupled to ground, are to expand the connectivity and mobility of the proposed MIMO antenna by offering multiple bands, higher isolation, broadside radiation, and low specific absorption rate (SAR). The leaky wave and button antennas have dimensions of 40 × 30 × 1 mm3 and a diameter of only 13 mm, respectively. The operational bands are 0.86–2.75 GHz, 2.9–4.85 GHz, 5.75–6.15 GHz, and 8–9.85 GHz, covering the L, C, S, and X bands. Additionally, diversity performance is evaluated by defining the envelope correlation coefficient (ECC), diversity gain (DG), Channel Capacity Loss (CCL), and mean effective gain (MEG). The simulation and measurement findings are in good agreement. Following that, it offers a maximum gain of 8.25 dBi, low SAR (<0.05), an ECC below 0.05, DG above 9.85 dB, CCL< 0.25 bits/s/Hz, MEG <−3 dB, Circular polarization (CP), and strong isolation (>22 dB) between every two ports. These features make the proposed antenna an ideal option for MIMO communications and suitable for wireless local area network (WLAN) and fifth-generation (5G) communications.
Effect of snail shell powder addition on mechanical and microstructure behaviour of mercerized roselle fiber reinforced epoxy resin-based hybrid composite
Authors: G VR Sakthivel , M Nalla Mohamed
Published: June 2024

Hybrid composites are materials composed of a combination of two or more different types of reinforcements, often with distinct properties. The combination of different reinforcements aims to exploit the strengths of each material, resulting in a composite with improved mechanical, thermal, or other specific properties compared to individual components. Nowadays, application of hybrid composites reinforced with natural fibers has gained significance in various industries due to the unique combination of properties such as automobile, aerospace, construction, Sports and Leisure. Eventhough, natural fibers may degrade over time due to environmental factors, resulted in decrease in mechanical properties and overall durability of the hybrid composite. Therefore, Hybrid composites can achieve a combination of high strength, stiffness and toughness that is difficult to obtain with single-fiber composites. The aim of the study is to develop roselle fibers reinforced epoxy resin-based hybrid composite using hand layup method. The snail shell powder with different weight proportion (5, 10 & 15 wt.-%) and 20% (wt.-%) of roselle fiber have been added to fabricate the hybrid composite. The study was carried out in order to study the mechanical properties such as tensile, flexural, impact and hardness strength. The results showed that the composites fabricated with 10% of snail shells powder showed the maximum tensile strength of 40 MPa, flexural strength of 57 MPa and impact strength of 31 KJ/m2. The 15% filler added composite showed the maximum hardness strength of 43 HV. It was observed that the fracture mechanism of a hybrid composite involves fiber breakage, matrix cracking, delamination, matrix debonding, crack initiation and voids etc were formed in the composite. The Composite samples embedded with fillers demonstrate the lowest water intake behaviour. The findings showed that the hybrid composite with 10% snail shell powder exhibited the highest tensile, flexural and impact strength while the 15% snail shell powder composite showed the highest hardness (43 HV). Additionally, snail shell embedded composites demonstrated the lowest water intake behaviour. Fracture analysis revealed mechanisms such as fiber breakage and matrix cracking observed via SEM.
On a fractional derivative operator with a singular kernel: definition, properties and numerical simulation
Authors: Odibat Zaid
Published: June 2024

This paper is concerned with proposing a novel nonlocal fractional derivative operator with a singular kernel. We considered a fractional integral operator as a single integral of convolution type combined with a Mittag-Leffler kernel of Prabhakar type. The proposed singular fractional derivative operator is formulated as a proper inverse of the considered integral operator. We provided some useful features and relationships of the proposed derivative and introduced comparisons with the Caputo derivative which can be utilized for potential applications. Next, we presented numerical solutions for some nonlinear fractional order models incorporating the proposed derivative using a numerical algorithm developed in this paper. As a case study, we discussed the dynamic behavior of a fractional logistic model with the proposed derivative.
Enhancing Battery Prognostics Modelling with Digit Frequency Preprocessing Analysis
Authors: Maiddin Hafizuddin , Yassin Dk Hayati Pg Hj Mohd , Caesarendra Wahyu
Published: June 2024

To improve state-of-health (SoH) and remaining useful life (RUL) prediction in battery prognostics, a novel preprocessing method is developed that validates the input data integrity before undergoing a deep learning prognostic framework. Many of the developed deep learning models depend on a robust SoH estimation, however measured battery data are still subjected to faults stemming from physical defects to errors produced when the measured variables are logged. Hence, the preprocessing approach developed is capable of identifying anomalies such as outliers and errors within a subset of datasets. Filtering bad data from being utilized in machine learning algorithms can reduce inaccurate predictions caused from reinforced biased & skewing and inevitably reduce unwanted failures.
Designed harmonic step filter automatic control system to improve power quality and electric efficiency
Authors: Pasaribu Faisal Irsan , Sara Ira Devi , Tarmizi Tarmizi , Nasaruddin Nasaruddin
Published: June 2024

Good power quality and high-power efficiency are important aspects of power system management. Harmonic, as an unwanted frequency component in electrical signals, can interfere with power quality and reduce electrical efficiency. A passive harmonic filter is a device used to reduce or filter harmonics in electrical power systems. This research proposes technology Internet of Things with an automatic control system that moves the step filter to solve the harmonic problem, with the aim of improving the quality of power and electrical efficiency. The step filter functions to identify and isolate the harmonic, thus enabling appropriate controls to suppress the impact of the harmonic. The proposed system uses sophisticated control algorithms using sensors that can read current, voltage, frequency, and power factor to adjust the step filter parameters dynamically, following changes in load conditions and harmonizing. Simulation of the control network using the proteus software is subsequently undertaken in further research to design the control device. Using an automatic control set in the control simulation results reduced the need for manual intervention and let the system adjust the step filter automatically in response to changing network conditions. This showed that this method worked to lower harmonic distortion, increases the power factor through the filter used, and make the system more energy efficient overall. The study emphasizes the importance of applying sophisticated control strategies to manage harmonics efficiently, which ultimately paves the way to a cleaner and more reliable power grid.
Research on single-phase ground fault identification method based on support vector machine
Authors: Chen Xue , Lin Jian , Ruan Xiaofei , Chen Dacai , Li Jiyu
Published: June 2024

Single-phase grounding faults seriously affect the stable operation of the distribution network system. Timely and accurate identification of early fault characteristics is essential to achieve early warning of faults and reduce the occurrence of permanent faults. In single-phase grounding faults, the current is small and the fault characteristics are complex, which leads to existing identification methods having low accuracy and poor reliability. This research presents a method for identifying single-phase grounding faults using the Support Vector Machine (SVM) framework. Firstly, the process begins with an in-depth examination of the waveform characteristics typical to these faults, followed by extracting critical data features necessary for fault identification. Then the fault affiliation degree is calculated as the input to the SVM model, and the fault category is the output. Finally, the algorithm model is simulated and analyzed by using PSCAD/EMTDC and the results indicate that the proposed algorithm accurately detects single-phase earth faults in low-current earth systems.
Research on optimization of integrated energy system operation under shared energy storage mode
Authors: Wang Guanxiong , Yang Lei , Xu Xuesong , Bo Huaidong , Liu Xin , Dong Huanran , Ma Kaiwei
Published: June 2024

With the increasingly severe environmental pollution problem, the Integrated Energy System (IES) with the power system as the core can promote the consumption of renewable energy. Among them, energy storage will become an important resource in the future energy system. However, due to the cost constraints of energy storage equipment investment, large-scale deployment of energy storage is difficult. Therefore, this article is based on the “sharing concept” to study the optimization technology of regional integrated energy system operation that takes into account shared energy storage. Firstly, an IES operation optimization model considering shared energy storage mode was constructed; Secondly, we constructed a multi-regional comprehensive energy system cooperation game model under the shared energy storage model and formulated benefit allocation strategies based on the subject value label; Finally, an example is used to analyze and evaluate the economic effects of the integrated energy system under different operation modes, to verify the effectiveness and progressiveness of the model.
Research on single-phase grounding fault of power system based on new small current grounding system
Authors: Gao Jing , Yang Shuxiang , Xu Sibo , Du Zhongxiao , Xu Yingqi
Published: June 2024

China’s vast power grid, with its intricate line configuration, occasionally experiences unpredictable malfunctions. The neutral grounding method holds a pivotal role in addressing these failures and maintaining the distribution network’s operation. This article delves into an innovative low-current grounding system that incorporates arc suppression coils and parallel resistance grounding technology. This grounding technique not only mitigates arcs but also facilitates rapid line selection and tripping. Even in high-resistance conditions, it can precisely detect fault points in overhead distribution lines and promptly isolate the faulty segment. Its characteristics have been validated through simulation
Study on enhanced new energy source-load interaction response strategy based on multiple time scales
Authors: Zhang Haifeng , Ji Xiu , Wang Wei , Li Mingge , Zhang Jiajun
Published: June 2024

Rapid socio-economic development has also brought about problems such as resource depletion and ecological and environmental pollution. Electricity is the most important form of energy supply for human beings, and its production and use are undergoing fundamental changes. This thesis conducts an in-depth study on the source-load interaction scheduling method in new energy power grids., which realizes a safe, economical, low-carbon and environmentally friendly intelligent scheduling mode through two-way interaction between the demand side and the grid. Firstly, the virtual power plant management mode of demand-side resources is studied to achieve new energy consumption through price-based demand response. Second, a safety-constrained unit model for source-load interaction is established. Then, the fuzzy opportunity scheduling model and solution method of the new energy power system under the source-load interaction scheduling mode are studied. Finally, the wide-area source-load interaction scheduling problem under the conservation of energy and reduction of emissions environment is studied, the conservation of energy and reduction scheduling model is proposed and a demand-side standby bidding and scheduling model under the future carbon emission trading is designed.
Combined model electricity load forecasting based on NeuralProphet and Bi-LSTM-SA
Authors: Zhao Dongpeng , Xu Shouzhi , Sun Haowen , Li Bitao , Jiang Mengying , Tan Shiyu
Published: June 2024

This study proposes an innovative method for forecasting electricity load that combines NeuralProphet’s time series analysis capability with Bi-LSTM-SA’s self-attention mechanism. The method improves prediction accuracy, reliability, and interpretability by analyzing trends, cycles, and holiday impacts, as well as considering climatic factors as key external variables. A peak interval weighted mean square error indicator is introduced to optimize the weights in the model combination strategy. This improves the prediction accuracy during peak times, making this method superior to any single sub-model in terms of prediction performance.
Multi-beam operation of LANSCE accelerator facility
Authors: Batygin Y.K.
Published: June 2024

The Los Alamos Neutron Science Center (LANSCE) accelerator
facility has been in operation for 50 years performing important
scientific support for national security. The unique feature of the
LANSCE accelerator facility is multi-beam operation, delivering
beams to five experimental areas. The near-term plans are to replace
obsolete and almost end-of-life systems of the LANSCE linear
accelerator with a modern 100-MeV Front End with significant
improvement in beam quality. This paper summarizes experimental
results obtained during the operation of the LANSCE accelerator
facility and considers plans to expand the performance of the
accelerator for near- and long-term operations.
Halide perovskites from first principles: from fundamental optoelectronic properties to the impact of structural and chemical heterogeneity
Authors: Filip Marina R , Leppert Linn
Published: June 2024

Organic-inorganic metal-halide perovskite semiconductors have outstanding and widely tunable optoelectronic properties suited for a broad variety of applications. First-principles numerical modelling techniques are playing a key role in unravelling structure-property relationships of this structurally and chemically diverse family of materials, and for predicting new materials and properties. Herein we review first-principles calculations of the photophysics of halide perovskites with a focus on the band structures, optical absorption spectra and excitons, and the effects of electron- and exciton-phonon coupling and temperature on these properties. We focus on first-principles approaches based on density functional theory and Green’s function-based many-body perturbation theory and provide an overview of these approaches. While a large proportion of first-principles studies have been focusing on the prototypical ABX3 single perovskites based on Pb and Sn, recent years have witnessed significant efforts to further functionalize halide perovskites, broadening this family of materials to include double perovskites, quasi-low-dimensional structures, and other organic-inorganic materials, interfaces and heterostructures. While this enormous chemical space of perovskite and perovskite-like materials has only begun to be tapped experimentally, recent advances in theoretical and computational methods, as well as in computing infrastructure, have led to the possibility of understanding the photophysics of ever more complex systems. We illustrate this progress in our review by summarizing representative studies of first-principles calculations of halide perovskites with various degrees of complexity.