bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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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© The Authors 2024
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

AbstractSingle-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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Lymphatic Vessel–Mediated Attenuation of Persistent Macrophage Infiltration Improves Fat Grafting Outcomes in Mice Models
Authors: Zhou Cheng , Sun TianYi , Zhao Jing , Xu YiDan , Dong ZiQing , Lu Feng , Li Bin 
Published: June 2024

Abstract

Background
Persistent macrophage infiltration may lead to adverse consequences, such as calcifications and nodules in fat grafts. Lymphatic vessels, which transport inflammatory cells, are involved in regulating inflammatory responses. Less is known, however, about lymphatic vessels after fat grafting.

Objectives
The aim of this study was to explore the regulation of fat graft survival by lymphatic vessels.

Methods
A common adipose graft model was constructed to assess the processes responsible for changes in the number of lymphatic vessels in grafts. Adipose tissue samples from C57/BL6 mice and green fluorescent protein–expressing mice were cross-grafted to determine the source of lymphatic vessels. The number of lymphatic vessels in the grafts was increased by treatment with vascular endothelial growth factor C, and the effects of this increase on fat grafting were evaluated.

Results
The number of lymphatic vessels was greater in postgrafted fat than in inguinal fat before transplantation, with lymphatic vessels in these grafts gradually transitioning from donor to recipient sources. Lymphatic vessels grew more slowly than blood vessels during early stages of grafting; during later stages, however, the number of blood vessels declined markedly, with more lymphatic vessels than blood vessels being observed 60 days after grafting. Vascular endothelial growth factor C treatment increased graft lymphatics and distant volume retention, while reducing fibrosis and oil sacs. Lymphatic vessels acted as drainage channels for macrophages, with the degree of sustained macrophage infiltration decreasing with increases in the number of lymphatic vessels.

Conclusions
Increasing the number of lymphatic vessels is beneficial for fat graft survival, which may be related to a reduction in prolonged macrophage infiltration.

Level of Evidence: 4