bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Adaptive Sliding Mode Control Approach for Anti-Slip Regulation of Electric Vehicles Based on Optimal Slip Ratio
Authors: Zhang Houzhong , Qi Yiyun , Si Weijian , Zhang Chengyin
Published: November 2024

To optimize the acceleration performance of independently driven electric vehicles with four in-wheel motors, this paper proposes an anti-slip regulation (ASR) strategy based on dynamic road surface observer for more efficient tracking of the optimal slip ratio and enhanced vehicle acceleration. The method uses the Unscented Kalman Filter (UKF) observer to estimate vehicle speed and calculate the actual slip ratio, while a fuzzy controller based on the Burckhardt tire model identifies road surfaces. The road’s peak adhesion coefficient and optimal slip ratio curve are fitted using a Back Propagation Neural Network (BPNN) optimized by Particle Swarm Optimization (PSO). The control strategy further refines torque management through an adaptive sliding mode control (ASMC) that integrates adaptive laws and a super-twisting sliding mode approach to track the optimal slip ratio. Joint simulations with MATLAB/Simulink and Carsim on low-adhesion, joint, and split road surfaces demonstrate that the strategy quickly and accurately identifies the optimal slip ratio across various road surfaces. This enables the tire slip ratio to approach the optimal value in minimal time, significantly improving vehicle dynamic performance. Compared to conventional sliding mode controllers, the optimized ASMC reduces chattering and improves control precision.
Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances
Authors: Yeh Syh-Shiuh , Liu Zhi-Hong
Published: November 2024

Position-dependent periodic disturbances often limit the accuracy and smoothness of the positional motion of permanent magnet synchronous motor (PMSM)-driven rotary machines. Because the period of these disturbances varies with the motion velocity of the rotary machine, spatial domain control methods such as spatial iterative learning control (SILC) and spatial repetitive control (SRC) have been proposed and applied to improve rotary machine motion control designs. However, problems with learning period convergence and rotary machine dynamics significantly affect transient motion, further constraining the overall motion performance. To address these challenges, this study developed a robust driving control (RDC) that integrates a robust control design with position-dependent periodic disturbance feedforward compensation, rotary machine dynamics compensation, and proportional–proportional integral feedback control. A position-dependent periodic disturbance model was developed using multiple position–sinusoidal signals and identified using a spatial fast Fourier transform. RDC compensates for disturbances and dynamics and considers the effects of model parameter uncertainty and modeling error on the stability of the control system. Several motion control experiments were conducted on a PMSM test bench to compare the RDC, SILC, and SRC. The experimental results demonstrated that although both SILC and SRC can effectively suppress position-dependent periodic disturbances, SILC provides slower position error convergence owing to the learning process, and SILC and SRC result in significant position errors because of the influence of the PMSM-driven rotary machine dynamics. RDC not only suppresses position-dependent periodic disturbances, but also significantly reduces position errors with a reduction rate of 90%. Therefore, the RDC developed in this study effectively suppressed position-dependent periodic disturbances and significantly improved both the transient-state and steady-state position-tracking performances of the PMSM-driven rotary machine.
Hierarchical Optimal Dispatching of Electric Vehicles Based on Photovoltaic-Storage Charging Stations
Authors: Liu Ziyuan , Tan Junjing , Guo Wei , Fan Chong , Peng Wenhe , Fang Zhijian , Gao Jingke
Published: November 2024

Electric vehicles, known for their eco-friendliness and rechargeable–dischargeable capabilities, can serve as energy storage batteries to support the operation of the microgrid in certain scenarios. Therefore, photovoltaic-storage electric vehicle charging stations have emerged as an important solution to address the challenges posed by energy interconnection networks. However, electric vehicle charging loads exhibit notable randomness, potentially altering load characteristics during certain periods and posing challenges to the stable operation of microgrids. To address this challenge, this paper proposes a hierarchical optimal dispatching strategy based on photovoltaic-storage charging stations. The strategy utilizes a dynamic electricity pricing model and the adaptive particle swarm optimization algorithm to effectively manage electric vehicle charging loads. By decomposing the dispatching task into multiple layers, the strategy effectively solves the problems of the “curse of dimensionality” and slow convergence associated with large numbers of electric vehicles. Simulation results demonstrate that the strategy can effectively achieve peak shaving and valley filling, reducing the load variance of the microgrid by 24.93%, and significantly reduce electric vehicle charging costs and distribution network losses, with a reduction of 92.29% in electric vehicle charging costs and 32.28% in microgrid losses compared to unorganized charging. Additionally, this strategy can meet the travel demands of electric vehicle owners while providing convenient charging services.
Functional Variant of Polynomial Analogue of Gandy’s Fixed Point Theorem
Authors: Nechesov Andrey , Goncharov Sergey
Published: November 2024

In this work, a functional variant of the polynomial analogue of Gandy’s fixed point theorem is obtained. Sufficient conditions have been found to ensure that the complexity of recursive functions does not exceed polynomial bounds. This opens up opportunities to enhance the expressivity of p-complete languages by incorporating recursively defined constructs. This approach is particularly relevant in the following areas: AI-driven digital twins of smart cities and complex systems, trustworthy AI, blockchains and smart contracts, transportation, logistics, and aerospace. In these domains, ensuring the reliability of inductively definable processes is crucial for maintaining human safety and well-being.
Horizontal Bone Augmentation with Simultaneous Implant Placement in the Aesthetic Region: A Case Report and Review of the Current Evidence
Authors: Izzetti Rossana , Cinquini Chiara , Alfonsi Fortunato , Nisi Marco , Covelli Michele , Garcia Mira Berta , Priami Mattia , Barone Antonio
Published: November 2024

This study aimed to describe a case of simultaneous guided bone regeneration (GBR) and implant placement in a patient with prior aesthetic implant failure, focusing on achieving optimal aesthetic and functional outcomes, and to perform a literature review of the current evidence. A 38-year-old male presented with an improperly positioned implant at the level of the right upper central (tooth 2.1), leading to aesthetic and functional issues. The initial assessment included a panoramic radiograph revealing marginal bone loss and an enlarged peri-implant space, necessitating implant removal. Following implant removal and provisional restoration, the patient was re-evaluated for subsequent therapeutic treatments. The patient underwent orthodontic treatment to improve mesio-distal spacing, followed by surgical intervention involving GBR and simultaneous implant placement. The GBR procedure utilised bone substitutes and resorbable membranes, with soft tissue augmentation conducted subsequently. The surgical intervention involved local anaesthesia, flap design, defect assessment, and palatally oriented implant placement. GBR was then performed. After six months, implant uncovering and soft tissue augmentation were conducted. The implant was loaded with a screwed restoration following complete hard and soft tissue healing. The patient was monitored every six months for two years, then annually. At the 10-year follow-up, no signs of bone resorption or soft tissue inflammation were observed. This case demonstrated that GBR and simultaneous implant placement, with the application of advanced biomaterials, effectively promoted osseointegration and maintained aesthetic and functional stability over a decade.
Hydroxychloroquine Mitigates Cytokine Storm and Prevents Critical Illness Neuromyopathy in a Rat Sepsis Model
Authors: Eygi Elif , Kucuk Onur , Aydemir Semih , Atilgan Merve , Dokuyucu Recep , Erbas Oytun
Published: November 2024

Background and Objectives: It is known that critical illness and associated neuromuscular problems begin to appear in patients hospitalized in the intensive care unit (ICU) for more than a week. The goal of this study was to research the role of hydroxychloroquine (HCQ) in the treatment of cytokine storm and critical illness neuromyopathy (CINM) in a rat sepsis model. Materials and Methods: Rats were assigned into three groups, and a feces intraperitoneal-injection group (FIP) procedure was carried out on 30 rats to induce a model of sepsis for critical illness polyneuromyopathy (CINM). The study groups were as follows: Group 1: control (nonoperative and orally fed control, n = 10), Group 2: FIP with 0.9% NaCl saline was given as 1 mL/kg/day by oral gavage (n = 10), and Group 3: FIP with 10 mg/kg/day of hydroxychloroquine (Plaquenil 200 mg) administered by oral gavage (n = 10). Electrophysiological recordings (EMG) were conducted six days after surgery. EMG was carried out three times on the right sciatic nerve, which was stimulated with supramaximal intensity utilizing a bipolar needle electrode at the sciatic notch. Tumor necrosis factor-alpha (TNF-α), malondialdehyde (MDA), lactic acid levels, and interleukin-6 (IL-6) were evaluated. Results: In terms of TNF-α, MDA, lactic acid levels, and IL-6, there was a statistically significant decrease in the CINM + 10 mg/kg HCQ group compared to the CINM and saline group (p < 0.0001, p < 0.05, p < 0.05, and p < 0.05, respectively). Compound muscle action potentials (CMAPs) latency and duration were decreased in the CINM + 10 mg/kg HCQ group compared to other groups (p < 0.01 and p < 0.001). However, CMAP amplitude was significantly higher in the CINM + 10 mg/kg HCQ group unlike the CINM and saline group (p < 0.001). Conclusions: This is the first study to demonstrate the effects of HCQ on CINM in a rat model of sepsis. The findings of our research suggest that hydroxychloroquine may be used as a potential therapeutic agent in the treatment of sepsis. Hydroxychloroquine may have an important effect in the pathogenesis of sepsis-associated CINM by reducing cytokine production and oxidative stress.
The Potential Impact of SGLT2-I in Diabetic Foot Prevention: Promising Pathophysiologic Implications, State of the Art, and Future Perspectives—A Narrative Review
Authors: Miceli Giuseppe , Basso Maria Grazia , Pennacchio Andrea Roberta , Cocciola Elena , Pintus Chiara , Cuffaro Mariagiovanna , Profita Martina , Rizzo Giuliana , Sferruzza Mariachiara , Tuttolomondo Antonino
Published: November 2024

The impact of diabetic foot (DF) on the healthcare system represents a major public health problem, leading to a considerable clinical and economic burden. The factors contributing to DF’s development and progression are strongly interconnected, including metabolic causes, neuropathy, arteriopathy, and inflammatory changes. Sodium–glucose cotransporter 2 inhibitors (SGLT2-i), novel oral hypoglycemic drugs used as an adjunct to standard treatment, have recently changed the pharmacological management of diabetes. Nevertheless, data about the risk of limb amputation, discordant and limited to canagliflozin, which is currently avoided in the case of peripheral artery disease, have potentially discouraged the design of specific studies targeting DF. There is good evidence for the single immunomodulatory, neuroprotective, and beneficial vascular effects of SGLT2-i. Still, there is no clinical evidence about the early use of SGLT2-i in diabetic foot due to the lack of longitudinal and prospective studies proving the effect of these drugs without confounders. This narrative review aims to discuss the main evidence about the impact of SGLT2-i on the three complications of diabetes implicated in the development of DF, the state of the art, and the potential future implications.
Hot Deformation Behavior and Processing Maps of Vapor-Phase-Grown Carbon Nanofiber Reinforced 7075Al Composites
Authors: Zhu Mengying , Xu Zhefeng , Wu Junhua , Motozuka Satoshi , Tian Caili , Gu Jianglong , Yu Jinku
Published: November 2024

The present study prepared 7075Al composites reinforced with vapor-phase-grown carbon nanofibers (VGCNFs) using the spark plasma sintering (SPS) method. Constitutive equations of the composites were calculated, and thermal processing maps were constructed by performing thermal compression tests on the VGCNF/7075Al composites at deformation temperatures ranging from 300 to 450 °C and strain rates from 0.01 to 1 s−1. This study analyzed the microstructural evolution of the VGCNF/7075Al composites during the thermomechanical processing. The experimental results demonstrated that dynamic recrystallization (DRX) primarily governed the softening mechanism of VGCNF/7075Al composites during thermomechanical processing. At high strain rates, a combination of dynamic recovery (DRV) and DRX contributed to the softening behavior. The incorporation of VGCNFs results in higher dislocation density and a larger orientation deviation within the 7075Al matrix during the thermomechanical deformation process, providing stored energy that facilitated DRX. The activation energy for deformation of VGCNF/7075Al composites was 175.98 kJ/mol. The constitutive equation of the flow stress showed that a hyperbolic sinusoidal form could effectively describe the relationship between flow stress, strain, strain rate, and temperature of VGCNF/7075Al composites. The optimal thermomechanical deformation parameters for VGCNF/7075Al composites were 400–450 °C and 0.01–0.1 s−1 when the strain ranged from 0.05 to 0.15. For strains between 0.25 and 0.35, the optimal thermomechanical parameters were 380–430 °C and 0.01–1 s−1.
Synergistic Combination of Quercetin and Mafosfamide in Treatment of Bladder Cancer Cells
Authors: Spagnuolo Carmela , Mautone Francesco , Meola Anna Maria Iole , Moccia Stefania , Di Lorenzo Giuseppe , Buonerba Carlo , Russo Gian Luigi
Published: November 2024

Bladder cancer, which has a rising incidence, is the 10th most common cancer. The transitional cell carcinoma histotype is aggressive and often current therapies are ineffective. We investigated the anti-proliferative effect of quercetin, a natural flavonoid, in combination with the alkylating agent mafosfamide (MFA) on two human bladder cancer cell lines, namely RT112 and J82, representing the progression from low-grade to high-grade tumors, respectively. In both cell types, the combined treatment led to a synergic reduction in cell viability confirmed by a combination index of less than one, though different biological responses were noted. In J82 cells, MFA alone and, to a lesser extent, with quercetin caused cell cycle arrest in the G2/M phase, but only the combined treatment triggered apoptotic cell death. In contrast, in RT112 cells, quercetin induced autophagy, evidenced by the autophagosome formation and the increase in LC-3 lipidation. Interestingly, the synergistic effect was observed only when cells were pre-treated with MFA for 24 h before adding quercetin, not in the reverse order. This suggests that quercetin may help overcome MFA resistance to apoptosis. Although further studies are needed, investigating the combined effects of quercetin and MFA could help elucidate the mechanisms of drug resistance in bladder cancer treatment.
Metabolomic Diversity in Polygonatum kingianum Across Varieties and Growth Years
Authors: Xiao Liangjun , Xu Huimei , Wu Tao , Xie Qiufeng , Wen Rouyuan , Wang Le , Su Baoshun , Zhang Haizhu
Published: November 2024

Polygonatum rhizome is a traditional Chinese medicine of the same origin as food and medicine, and it has high economic value and social benefits. To screen the excellent germplasm resources of Polygonatum kingianum (P. kingianum) and clarify the nutritional and medicinal value of the rhizome of P. kingianum, we used widely targeted metabolomics to analyze the traits and metabolomics of rhizomes of different germplasms of P. kingianum from different growth years. The results showed that different germplasms and growth years of P. kingianum were rich in different nutritional and medicinal components. Among them, Polygonatum kingianum ‘Linyun 1′ rhizome (PWR) was richer in amino acids and derivatives, alkaloids, and phenolic acids, while Polygonatum kingianum rhizome (PRR) was richer in flavonoids, organic acids, and phenolic acids. Most of the differential compounds were mainly enriched in PRR when the growth year was one, and PWR had a greater variety and higher content of differential compounds in the third year, which also reflected the advantages of Polygonatum kingianum ‘Linyun 1′ (P. kingianum ‘Linyun 1′) as an excellent new variety of P. kingianum. The Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway analysis showed that in P. kingianum with the same age and different germplasms, the significantly enriched metabolic pathway was more active in biosynthesis in PWR. In the same germplasm of P. kingianum from different years, the metabolites involved in PRR were mainly the highest in one-year-old P. kingianum (PR-1) or three-year-old P. kingianum (PR-3), and the metabolites involved in PWR were mainly the highest in three-year-old P. kingianum ‘Linyun 1′ (PW-3). The above results showed that the three-year-old PWR had more advantages based on chemical substances. Therefore, this study provided a new theoretical reference for the development of P. kingianum products and the breeding of new varieties.
Effect of Biomass Drying Protocols on Bioactive Compounds and Antioxidant and Enzymatic Activities of Red Macroalga Kappaphycus alvarezii
Authors: Nunes Aline , Dutra Felipe de Souza , Brito Sinara de Nazaré Santana , Pereira-Vasques Milene Stefani , Azevedo Gadiel Zilto , Schneider Alex Ricardo , Oliveira Eva Regina , Santos Alex Alves dos , Maraschin Marcelo , Vianello Fábio , Lima Giuseppina Pace Pereira
Published: November 2024

Kappaphycus alvarezii is a red seaweed used globally in various biotechnological processes. To ensure the content and stability of its bioactive compounds postharvest, suitable drying protocols must be adopted to provide high-quality raw materials for industrial use. This study aimed to analyze the influence of freeze-drying and oven-drying on the total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (FRAP and DPPH assays), total carotenoid content (TC), and lipase (LA) and protease activity (PA) of K. alvarezii samples collected over the seasons in sea farms in southern Brazil. The freeze-drying technique was found to be more effective regarding superior contents of TPC (39.23 to 127.74 mg GAE/100 g) and TC (10.27 to 75.33 μg/g), as well as DPPH (6.12 to 8.91 mg/100 g). In turn, oven-drying proved to be the best method regarding the TFC (4.99 to 12.29 mg QE/100 g) and PA (119.50 to 1485.09 U/g), with better performance in the FRAP (0.28 to 0.70 mmol/100 g). In this way, it appears that the drying process of the algal biomass can be selected depending on the required traits of the biomass for the intended industrial application. In terms of cost-effectiveness, drying the biomass using oven-drying can be considered appropriate.
Liposomes and Their Therapeutic Applications in Enhancing Psoriasis and Breast Cancer Treatments
Authors: Elkordy Amal Ali , Hill David , Attia Mohamed , Chaw Cheng Shu
Published: November 2024

Psoriasis and breast cancer are two examples of diseases where associated inflammatory pathways within the body’s immune system are implicated. Psoriasis is a complex, chronic and incurable inflammatory skin disorder that is primarily recognized by thick, scaly plaques on the skin. The most noticeable pathophysiological effect of psoriasis is the abnormal proliferation of keratinocytes. Breast cancer is currently the most diagnosed cancer and the leading cause of cancer-related death among women globally. While treatments targeting the primary tumor have significantly improved, preventing metastasis with systemic treatments is less effective. Nanocarriers such as liposomes and lipid nanoparticles have emerged as promising drug delivery systems for drug targeting and specificity. Advances in technologies and drug combinations have emerged to develop more efficient lipid nanocarriers to include more than one drug in combinational therapy to enhance treatment outcomes and/or relief symptoms for better patients’ quality of life. Although there are FDA-approved liposomes with anti-cancer drugs for breast cancer, there are still unmet clinical needs to reduce the side effects associated with those nanomedicines. Hence, combinational nano-therapy may eliminate some of the issues and challenges. Furthermore, there are no nanomedicines yet clinically available for psoriasis. Hence, this review will focus on liposomes encapsulated single and/or combinational therapy to augment treatment outcomes with an emphasis on the effectiveness of combinational therapy within liposomal-based nanoparticulate drug delivery systems to tackle psoriasis and breast cancer. This review will also include an overview of both diseases, challenges in delivering drug therapy and the roles of nanomedicines as well as psoriasis and breast cancer models used for testing therapeutic interventions to pave the way for effective in vivo testing prior to the clinical trials.
Use of Hepatitis C Viremic Donors to Expand the Pediatric Donor Pool
Authors: Dilwali Natasha , Hartley Christopher , Sue Paul K. , Karnsakul Wikrom
Published: November 2024

The use of hepatitis C virus (HCV)-positive donors in organ transplantation has become increasingly viable due to advancements in direct-acting antiviral (DAA) therapies, which offer high cure rates. This review aims to evaluate the current practices, benefits, and challenges of utilizing HCV-positive donors for organ transplantation. The recent data show that transplant centers are progressively accepting HCV-positive donors for various organs, including kidneys, livers, and hearts, given the efficacy of post-transplant antiviral treatment. Using these donors has helped mitigate the organ shortage crisis, increasing the donor pool and reducing waitlist times. Despite these advantages, the approach raises concerns about viral transmission, long-term outcomes, and the cost-effectiveness of post-transplant DAA therapy. Furthermore, this review highlights the ethical implications of informed consent and the monitoring of HCV-negative recipients following transplantation. The outcomes from recent studies suggest that with proper management, transplantations from HCV-positive donors to HCV-negative recipients can be safe and effective, leading to excellent graft function and patient survival. This review synthesizes existing research and offers insights into optimizing protocols for future transplants involving HCV-positive donors.
Recent Role of Microorganisms of the Mollicutes Class in the Etiology of Bovine Respiratory Disease
Authors: Dudek Katarzyna , Nicholas Robin A. J.
Published: November 2024

Bovine respiratory disease (BRD) inflicts significant losses in cattle farming worldwide and is caused by the co-occurrence of various infectious agents which is often compounded by environmental factors. It is well known that microorganisms of the Mollicutes class are responsible for respiratory disorders in cattle, including BRD. This review highlights the current role of these microorganisms, in particular Mycoplasma bovis and Mycoplasma dispar, in the etiology of this disease complex, which has recently shifted toward a primary or predominant cause of the disease.
On the Elusive but Vital Difference Between Privileged and Optimal Viewpoints
Authors: Dolev Yuval
Published: November 2024

I argue that two theses, which get conflated tacitly but frequently in both the philosophical and the scientific literature on perception, must be distinguished. The first is that there are optimal viewpoints, viewpoints from which an object’s shape is more readily discernable than from others. The second is that there are privileged viewpoints, viewpoints that alone secure the veridicality of perception. I claim that phenomenology establishes the ubiquitousness of optimal viewpoints, but that the notion of privileged viewpoints is indefensible. It emerges when the empirical investigation of the mechanism of perception, and specifically of the role of retinal images, becomes the basis for the phenomenology of perception. Both the notion of a privileged viewpoint and the models it serves, such as the two-step model, are, I argue, untenable. To emphasize: the claims are phenomenological, not empirical, and so cannot be confirmed or refuted by empirical evidence. Optimal viewpoints are further explored by critically examining Husserl’s notion of a “sum of optima” and assessing it in the context of his claim that normal viewpoints are optimal. The paper ends with some thoughts on what the relationship between the science and the phenomenology of vision ought to be.
Antifungal Activity of Citrus Essential Oil in Controlling Sour Rot in Tahiti Acid Lime Fruits
Authors: Moura Vanessa Santos , Olandin Lara Dias , Mariano Beatriz Saraiva , Rodrigues Josiane , Devite Fernando Trevizan , Arantes Ana Carolina Costa , Queiroga Carmen Lucia , Sartoratto Adilson , de Azevedo Fernando Alves , Bastianel Marinês
Published: November 2024

Sour rot, caused by Geotrichum citri-aurantii, is a significant post-harvest disease in citrus, resulting in economic losses due to the lack of effective fungicides. This study investigates the antifungal activity of citrus essential oils in controlling sour rot in Tahiti acid lime fruits. Essential oils were extracted via hydrodistillation with chemical composition analyzed by CG-MS and tested in vitro and in vivo. In vitro assays evaluated mycelial growth inhibition at 2 to 32 µL mL−1 concentrations. In vivo trials involved preventive and curative treatments on artificially inoculated fruits stored at 25 °C ± 2, and the results showed that Pera IAC sweet orange oil, at 32 µL mL−1, reduced disease severity by 96% in curative treatments. In contrast, Late IAC 585 willowleaf mandarin oil demonstrated moderate inhibition (44%) at the highest concentration in vitro. The oils did not affect key fruit quality parameters such as juice yield and total soluble solids. These findings suggest that citrus essential oils could be natural alternatives to synthetic fungicides for post-harvest sour rot management, combining effectiveness with maintaining fruit quality.
Brassinosteroids: An Innovative Compound Family That Could Affect the Growth, Ripening, Quality, and Postharvest Storage of Fleshy Fruits
Authors: Garrido-Auñón Fernando , Puente-Moreno Jenifer , García-Pastor María E. , Serrano María , Valero Daniel
Published: November 2024

Brassinosteroids (BRs), a new family of plant hormones, have been used in a range of food staples, oil crops, and cereals. However, the scientific literature pertaining to their use in fleshy fruits remains scarce. This review presents, for the first time, the knowledge developed over the last decade on the role of BR preharvest treatments in crop yield and fruit quality properties at harvest and during storage, although information about the effects of BR postharvest treatments is also addressed. This review revealed that 24-epibrassinolide is the most used BR analogue in research experiments, either as a pre- or postharvest treatment, with doses ranging from 0.1 to 15 μM. Additionally, most of the research has been conducted on non-climacteric fruit species. In most of these preharvest treatments, an increase in crop yield has been reported, as well as enhanced anthocyanin concentration in red-coloured fruit. In addition, increases in firmness, total soluble solids, and phenolic content have also been observed. On the other hand, BR postharvest treatments led to the maintenance of these fruit quality properties during storage due to increased antioxidant systems, either enzymatic or non-enzymatic ones. Finally, as future perspectives, it is proposed to extend the research about BR treatments to other climacteric fruits and to deepen the knowledge of how BRs regulate physiological aspects from preharvest to postharvest. Furthermore, it is essential to investigate the role of BRs in the prevention of rot and biotic stress.
A Hybrid Method Based on Corrected Kinetic Energy and Statistical Calculation for Real-Time Transient Stability Evaluation
Authors: Keivanimehr Mehran , Zareian Jahromi Mehdi , Chamorro Harold R. , Khademi Mohammad Reza Mousavi , Yaghoubi Elnaz , Yaghoubi Elaheh , Sood Vijay K.
Published: November 2024

This paper proposes an innovative transient stability index (TSI) designed to enhance the real-time assessment of power system stability. The TSI integrates a corrected kinetic energy approach with a modified equal area criterion, offering a novel methodology for evaluating transient stability margins in power systems. Unlike traditional methods, the proposed TSI operates without relying on post-fault data, making it particularly suitable for online applications. A structure-preserving model is utilized to represent the power network, accounting for key factors such as controller behavior during transient events. Additionally, a new statistical classification method is introduced to efficiently determine the individual contribution of generators to the overall system stability. The effectiveness of the proposed approach is validated through comprehensive case studies on IEEE 9-bus and IEEE 39-bus systems. The simulation results confirm that the proposed method provides accurate, real-time insights into the transient stability margins of power systems, demonstrating its practical advantages in both analysis and operation.
Hydrogen Network Synthesis Integrated with Multi-Stage and Multi-Technology Purification System
Authors: Yang Duankanghui , Zhou Wenjin , Liu Linlin , Zhang Lei , Du Jian
Published: November 2024

Hydrogen, a vital resource, is utilized in many process units within the refinery. The purification system is widely used to regenerate and improve hydrogen quality, therefore reducing fresh hydrogen consumption. Pressure swing adsorption (PSA) and membrane separation (MS) technologies are widely utilized for the purification of hydrogen, and the process can be optimized by constructing mathematical models. Thus, at first, a parametric analysis of the purification models is conducted to identify the key variables of these models during the optimization process, which also reveals the necessity of coupling multiple purification units. Then, a superstructure-based hydrogen network (HN) model comprising multi-stage PSA and MS units is constructed, aiming to determine the optimal hydrogen allocation and purification system. This model considers the simultaneous optimization of purification system parameters, including operating pressure, in conjunction with its structural configuration. This case study demonstrates the applicability of the HN model to diverse refinery scenarios. Additionally, compared to using a single purification unit, using a multi-unit purification system can improve purification efficiency and reduce the total cost by 2% to 22%.
Study on the Effectiveness of Okra as an Environmentally Friendly and Economical Lubricant for Drilling Fluid
Authors: He Huifeng , Chang Xiaofeng , Sun Yan , Xue Le , Bai Bingbing , Chen Gang
Published: November 2024

With the gradual improvement and implementation of unconventional wells drilling and environmental regulations, there is an urgent need for high-performance and more environmentally friendly lubricants for water-based drilling fluids (WD). Developing green oilfield chemicals from natural products is a shortcut. In this work, Abelmoschus esculentus (L.) Moench/okra has been studied as the lubricant in WD. The green drilling fluid lubricant developed demonstrates excellent lubrication performance, as well as good filtration loss reduction and inhibition of bentonite hydration expansion. The results show that with the addition of 2.5% okra slurry to water-based drilling fluid, the coefficient of friction decreased by 51.68%, the apparent viscosity (AV) increased by 51.32%, the plastic viscosity (PV) increased by 42.99%, and the fluid loss decreased by 39.88%. Moreover, through TGA, SEM, FT-IR, particle distribution tests, and contact angle tests, the lubrication mechanism of okra slurry was discussed. Finally, the economic feasibility of using okra as an environmentally friendly lubricant for drilling fluids was analyzed. This work combines agricultural products with industrial production, which not only solves industrial problems but also enhances the added value of agricultural products, providing a reference for the coordinated development of industry and agriculture.
Reutilization of Real Waste Calcium Carbonate (CaCO3) from the Palm Oil Industry (POI) for Palm Kernel and Shell Separation Through Clay Bath Systems
Authors: Syarifuddin  , Husin Husni , Mahidin  , Zaki Muhammad , Syafiie S. , Nasution Fahrizal , Ahmadi  , Fathullah  , Sy Yuliana
Published: November 2024

The palm oil industry (POI) generates significant amounts of waste, including calcium carbonate (CaCO3) from the clay bath system used for the separation of palm kernels from shells. This CaCO3 waste is often discarded, leading to environmental issues. However, the CaCO3 can potentially be reused in the clay bath separation process to improve efficiency and reduce waste. To obtain PKO, the kernel is separated from the palm shell using a clay bath unit, where natural CaCO3 acts as a decanting agent and adsorbent. This wet separation method, involving a mixture of water and CaCO3 with a density of 1.12 g/mL, generates substantial amounts of saturated CaCO3 waste that is often discarded into the environment. Therefore, this research aimed to regenerate oil-bound CaCO3 waste for reuse as a decanter and adsorbent. Three treatments were tested, with CaCO3 waste-to-water ratios of 1:1, 1:3, and 1:6, under varying pH levels (8, 10, 11, 12) and temperatures (28 °C, 80 °C, 100 °C). The regeneration process was conducted in an open reactor at 450 rpm with a volume of 0.0054 m3, followed by drying and grinding the waste for analysis. The results showed approximately 75.75% oil removal and CaCO3 regeneration rates between 94.50% and 99.26%, with an increase in density from 1.687 g/mL to 2.467 g/mL. The efficiency of reusing regenerated CaCO3 waste is 96.87%. When mixed with 25% natural CaCO3, the efficiency increases to 99.24%. Additionally, a mixture of 50% regenerated CaCO3 waste and 50% natural CaCO3 achieves an average efficiency of 99.46% over five consecutive feed additions. This showed that the reuse of CaCO3 waste regeneration results for the separation of palm shells and kernels has a high potential for application. These findings suggest that regenerated CaCO3 waste can be effectively reused, offering a sustainable solution for palm oil mills.
Creative Shared Religious Education with Film-Making and History
Authors: Wolffe John , Maiden John , Sinclair Stefanie , Teller Katelin
Published: November 2024

This paper discusses the development of an innovative methodology for engaging young people with issues of religious diversity and toleration, through combining engagement with historical and contemporary sources with the production of short documentary films reflecting on their own experience. We report on pilot workshops held in contrasting locations—London, Belfast, Skopje (North Macedonia), Durrës (Albania), and Amman (Jordan). In some of the workshops, participants worked directly with young people from other religious traditions; in others, participants themselves were drawn from a single religious tradition, but sought actively to engage with others, for example Orthodox Christians in North Macedonia spoke to Muslims and filmed inside a mosque; Muslims in Jordan similarly visited local Christians and their churches; Catholics and Protestants in Belfast were eager to understand and interact with the other community. In the light of overwhelmingly positive feedback from participants, the analysis applies contact theory to argue that the methodology facilitates deep learning and teambuilding, enhancing respect and understanding between different religious groups. It also demonstrates the value of religious education for enhancing young people’s understanding of other subjects, notably history and citizenship.
Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship
Authors: Zhang Aiyuan , Lv Jinguo , Geng Yu , Wang Xiaolei , Li Xianhu
Published: November 2024

In power grid surveying, it is often necessary to fuse panchromatic and multispectral imagery for the design of power lines. Despite the abundance of deep learning networks for fusing these images, the results often suffer from spectral information loss or structural blurring. This study introduces a fusion model specifically tailored for power grid surveying that significantly enhances the representation of spatial–spectral features in remote sensing images. The model comprises three main modules: a TransforRS-Mamba module that integrates the sequence processing capabilities of the Mamba model with the attention mechanism of the Transformer to effectively merge spatial and spectral features; an improved spatial proximity-aware attention mechanism (SPPAM) that utilizes a spatial constraint matrix to greatly enhance the recognition of complex object relationships; and an optimized spatial proximity-constrained gated fusion module (SPCGF) that integrates spatial proximity constraints with residual connections to boost the recognition accuracy of key object features. To validate the effectiveness of the proposed method, extensive comparative and ablation experiments were conducted on GF-2 satellite images and the QuickBird (QB) dataset. Both qualitative and quantitative analyses indicate that our method outperforms 11 existing methods in terms of fusion effectiveness, particularly in reducing spectral distortion and spatial detail loss. However, the model’s generalization performance across different data sources and environmental conditions has yet to be evaluated. Future research will explore the integration of various satellite datasets and assess the model’s performance in diverse environmental contexts.
A Step Forward for Smart Clothes: Printed Fabric-Based Hybrid Electronics for Wearable Health Monitoring
Authors: Tu Huating , Li Zhenglin , Chen Zihao , Gao Yang , Xuan Fuzhen
Published: November 2024

Smart clothes equipped with flexible sensing systems provide a comfortable means to track health status in real time. Although these sensors are flexible and small, the core signal-processing units still rely on a conventional printed circuit board (PCB), making current health-monitoring devices bulky and inconvenient to wear. In this study, a printed fabric-based hybrid circuit was designed and prepared—with a series of characteristics, such as surface/sectional morphology, electrical properties, and stability—to study its reliability. Furthermore, to verify the function of the fabric-based circuit, simulations and measurements of the circuit, as well as the collection and processing of a normal adult’s electrophysiological signals, were conducted. Under 10,000 stretching and bending cycles with a certain elongation and bending angle, the resistance remained 0.27 Ω/cm and 0.64 Ω/cm, respectively, demonstrating excellent conductivity and reliability. Additionally, the results of the simulation and experiment showed that the circuit can successfully amplify weak electrocardiogram (ECG) signals with a magnification of 1600 times with environmental filtering and 50 Hz of industrial frequency interference. This technology can monitor human electrophysiological signals, such as ECGs, electromyograms (EMGs), and joint motion, providing valuable practical guidance for the unobtrusive monitoring of smart clothes.
A Review of Rotational Seismology Area of Interest from a Recording and Rotational Sensors Point of View
Authors: Kurzych Anna T. , Jaroszewicz Leszek R.
Published: November 2024

This article reviews rotational seismology, considering different areas of interest, as well as measuring devices used for rotational events investigations. After a short theoretical description defining the fundamental parameters, the authors summarized data published in the literature in areas such as the indirect numerical investigation of rotational effects, rotation measured during earthquakes, teleseismic wave investigation, rotation induced by artificial explosions, and mining activity. The fundamental data on the measured rotation parameters and devices used for the recording are summarized and compared for the above areas. In the section on recording the rotational effects associated with artificial explosions and mining activities, the authors included results recorded by a rotational seismograph of their construction—FOSREM (fibre-optic system for rotational events and phenomena monitoring). FOSREM has a broad range of capabilities to measure rotation rates, from several dozen nrad/s to 10 rad/. It can be controlled remotely and operated autonomously for a long time. It is a useful tool for systematic seismological investigations in various places. The report concludes with a short discussion of the importance of rotational seismology and the great need to obtain experimental data in this field.
Recognition of Impact Load on Connecting-Shaft Rotor System Based on Motor Current Signal Analysis
Authors: Zhang Kun , Yang Zhaojian , Bao Qingbao , Zhang Jianwen
Published: November 2024

Impact loads affect the operational performance and safety life of rolling equipment’s connecting-shaft rotor system, even causing faults and accidents. Therefore, recognizing and investigating impact loads is of great significance. Hence, a load recognition method based on motor current information is proposed in this paper to recognize impact loads on the connecting-shaft rotor system. First, the fast Fourier transform is used to obtain the frequency domain information for the motor’s current response signal from the rotor system load recognition test. Consequently, the required load response information can be presented more clearly using the singular value decomposition method to remove the power frequency components in the current signal. Then, wavelet packet decomposition is performed on the signal to generate energy analysis feature vectors. A qualitative recognition of the impact load on the system is achieved by learning vector quantization neural networks; the resulting load recognition results are good. These findings indicate that using the motor current as the analysis signal can solve the problem of the difficult layout for traditional vibration sensors in rolling sites. The preprocessing and recognition method of the current response signal can recognize the impact load, confirming the applicability and feasibility of the proposed method.
Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network
Authors: Pal Aditya , Rai Hari Mohan , Agarwal Saurabh , Agarwal Neha
Published: November 2024

The classification of ECG signals is a critical process because it guides the diagnosis of the proper treatment process for the patient. However, any form of disturbance with ECG signals can be highly conspicuous because of the mechanics involved in data acquisition from living beings, which has a significant impact on the classification procedure. The purpose of this research work is to advance ECG signal classification results by employing numerous denoising methods and, in turn, boost the accuracy of cardiovascular diagnoses. To simulate realistic conditions, we added various types of noise to ECG data, including Gaussian, salt and pepper, speckle, uniform, and exponential noise. To overcome the interference of noise from environments in the obtained ECG signals, we employed wavelet transform, median filter, Gaussian filter, and the hybrid of the wavelet and median filters. The proposed hybrid denoising method has better results than the other methods because of the use of wavelet multi-scale analysis and the ability of the median filter to avoid the loss of vital ECG characteristics. Thus, despite a certain proximity in the values, the hybrid method is significantly more accurate and reliable, as evidenced by the mean squared error (MSE), mean absolute error (MAE), R-squared, and Pearson correlation coefficient. More specifically, the hybrid approach provided an MSE of 0.0012 and an MAE of 0.025, the R-squared value for this study was 0.98, and the Pearson correlation coefficient was 0.99, which provides a very good resemblance to the original ECG confirmation. The proposed classification model is based on the modified lightweight CNN or MLCNN that was trained using the noisy and the denoised data. The findings demonstrated that by applying the denoised data, the testing accuracy, precision, recall, and F1 scores achieved 0.92, 0.91, 0.90, and 0.91 for the datasets, while the noisy data achieved 0.80, 0.78, 0.82, and 0.80, respectively. In this study, the signal quality and denoising methods were found to enhance ECG signal classification and diagnostic accuracy while encouraging proper preprocessing in future studies and applications for real-time ECG for cardiac care.
Experimental Investigation of Steel-Borne Acoustic Pulses for Fault Pinpointing in Pipe-Type Cable Systems: A Scaled-Down Model Approach
Authors: Moutassem Zaki , Li Gang , Zhu Weidong
Published: November 2024

Pipe-type cable systems, including high-pressure fluid-filled (HPFF) and high-pressure gas-filled cables, are widely used for underground high-voltage transmission. These systems consist of insulated conductor cables within steel pipes, filled with pressurized fluids or gases for insulation and cooling. Despite their reliability, faults can occur due to insulation degradation, thermal expansion, and environmental factors. As many circuits exceed their 40-year design life, efficient fault localization becomes crucial. Fault location involves prelocation and pinpointing. Therefore, a novel pinpointing approach for pipe-type cable systems is proposed, utilizing accelerometers mounted on a steel pipe to capture fault-induced acoustic signals and employing the time difference of arrival method to accurately pinpoint the location of the fault. The experimental investigations utilized a scaled-down HPFF pipe-type cable system setup, featuring a carbon steel pipe, high-frequency accelerometers, and both mechanical and capacitive discharge methods for generating acoustic pulses. The tests evaluated the propagation velocity, attenuation, and pinpointing accuracy with the pipe in various embedment conditions. The experimental results demonstrated accurate fault pinpointing in the centimeter range, even when the pipe was fully embedded, with the acoustic pulse velocities aligning closely with the theoretical values. These experimental investigation findings highlight the potential of this novel acoustic pinpointing technique to improve fault localization in underground systems, enhance grid reliability, and reduce outage duration. Further research is recommended to validate this approach in full-scale systems.