bluuebunny/crossref_metadata_2025 huggingface dataset:
Food Acquirability: An Unexplored Component of Food Security?
Authors: Okpala Emeka Franklin , Korir Lilian , Manning Louise
Published: June 2024

The key elements, or pillars, of food security are stated as food availability, food access, food utilization, and stability. These food security pillars are often linked to food security interventions at the national, community or household level. However, if the urban ‘household’ is the unit of interest for any food security intervention, this research asks if a more holistic element, or pillar, is needed. The aim of this research has been to explore the socio-economic aspects of food security/insecurity that we have termed as a result of the research “food acquirability”. Through the use of structured questionnaires (n = 120), and analysis of the data derived from local market and supermarket settings in the city of Awka, Nigeria, the concept of food acquirability has emerged and been conceptualized and critiqued. The contribution of this paper is to frame the concept of acquirability with regard to food security in Nigeria in order to develop a better understanding of the factors that impact household urban food security/insecurity and how they can be effectively mitigated. Factors of acquirability that emerged were culture, time poverty, resource availability and cooking skills, and household food preference and meal choice.
3D Printing Properties of Heat-Induced Sodium Alginate–Whey Protein Isolate Edible Gel
Authors: Li Zhihua , Wang Siwen , Qin Zhou , Fang Wenbing , Guo Ziang , Zou Xiaobo
Published: June 2024

The objective of this study was to develop a food 3D printing gel and investigate the effects of whey protein isolate (WPI), sodium alginate (SA), and water-bath heating time on the 3D printing performance of the gel. Initially, the influence of these three factors on the rheological properties of the gel was examined to determine the suitable formulation ranges for 3D printing. Subsequently, the formulation was optimized using response surface methodology, and texture analysis, scanning electron microscopy (SEM), and Fourier-transform infrared (FTIR) spectroscopy were conducted. The rheological results indicated that gels with WPI concentrations of 6–7 g, SA concentrations of 0.8–1.2 g, and water-bath heating times of 10–12 min exhibited lower yield stress and better self-supporting properties. The optimized formulation, determined through response surface methodology, consisted of 1.2 g SA, 6.5 g WPI, and a heating time of 12 min. This optimized formulation demonstrated enhanced extrusion capability and superior printing performance. SEM analysis revealed that the optimized gel possessed good mechanical strength, and FTIR spectroscopy confirmed the successful composite formation of the gel. Overall, the results indicate that the optimized gel formulation can be successfully printed and exhibits excellent 3D printing performance.
Characteristics and Epidemiology of Megaprostheses Infections: A Systematic Review
Authors: Cianni Luigi , Taccari Francesco , Bocchi Maria Beatrice , Micheli Giulia , Sangiorgi Flavio , Ziranu Antonio , Fantoni Massimo , Maccauro Giulio , Vitiello Raffaele
Published: June 2024

Background: Megaprostheses were first employed in oncological orthopedic surgery, but more recently, additional applications have arisen. These implants are not without any risks and device failure is quite frequent. The most feared complication is undoubtedly the implants’ infection; however, the exact incidence is still unknown. This systematic review aims to estimate in the current literature the overall incidence of megaprosthesis infections and to investigate possible risk/protective factors. Methods: We conducted a systematic search for studies published from July 1971 to December 2023 using specific keywords. To be included, studies needed to report either the megaprosthesis anatomical site, and/or whether the megaprosthesis was coated, and/or the surgical indication as oncological or non-oncological reasons. Results: The initial literature search resulted in 1281 studies. We evaluated 10,456 patients and the overall infection rate was 12%. In cancer patients, the infection rate was 22%, while in non-oncological patients, this was 16% (trauma 12%, mechanical failure 17%, prosthetic joint infections 26%). The overall infection rates comparing coated and uncoated implants were 10% and 12.5%, respectively. Conclusions: The number of megaprosthesis implants is increasing considerably. In traumatological patients, the infection rate is lower compared to all the other subgroups, while the infection rate remains higher in the cancer patient group. As these devices become more common, focused studies exploring epidemiological data, clinical outcomes, and long-term complications are needed to address the uncertainties in prevention and management.
Optimizing Green Globular Body Induction for Micropropagation of Microsorum pteropus ‘Windeløv’
Authors: Suwannamali Wirawan , Wang Kuang-Teng , Su Chia-Chen , Kantha Phunsin , Tzean Yuh , Wu Tsung-Meng
Published: June 2024

Microsorum pteropus ‘Windeløv’ is a water fern from Asia commonly used in aquarium landscapes. This study aimed to develop a mass production method through the induction of green globular bodies (GGBs) from leaf explants of M. pteropus. Surface sterilization was performed on adventitious buds on the fronds of M. pteropus ‘Windeløv’ as explants. The results showed that the optimal explant disinfection condition was 1% sodium hypochlorite solution for 20 min, achieving a successful rate of 87.5 ± 9.6%. The most effective GGB induction was achieved with MS medium supplemented with 5.0 mg/L of NAA (1-Naphthaleneaceticacid) and 0.5 mg/L of 6-BA (6-benzylaminopurine), producing the highest number and size of GGBs, with a mean value of 4.0 ± 0.8 GGBs per explant and a diameter of 2.45 ± 0.61 mm after 8 weeks of culture. The regeneration of multiple sporophytes from the GGBs was only observed under hormone-free MS medium, with a mean value of 34.2 ± 7.3 sporophytes per GGB after 6 weeks of culture. Subsequently, rootless and separated sporophytes could be directly transplanted into the aquarium with a 100% survival rate.
In Vitro Micropropagation of the Vulnerable Chilean Endemic Alstroemeria pelegrina L.
Authors: Guerra Francesca , Cautín Ricardo , Castro Mónica
Published: June 2024

The Chilean rhizomatous geophyte Alstroemeria pelegrina (A. pelegrina), a species endemic to the Coquimbo (31°45′ S) and Valparaíso (33°12′ S) regions, is currently classified as vulnerable and experiencing population decline due to loss of habitat. This heightened threat underscores the need to develop effective mass propagation techniques to support its conservation efforts. Consequently, the present study aimed to establish an optimized in vitro propagation protocol tailored specifically for A. pelegrina to facilitate its large-scale propagation and promote the preservation of this vulnerable geophyte. In our experiment, explants obtained from in vitro germination were used. These explants were then cultured on a Murashige and Skoog (MS) medium solidified with agar (6 g L−1) and supplemented with 2.22 μM 6-Benzylaminopurine (BAP) and 30 g L−1 sucrose. The results indicated an average of 4.6 new shoots produced per initial explant. The implementation of light-emitting diode (LED) illumination with a red:blue ratio of 3:1 and 2.22 μM BAP resulted in an average shoot length of 6.2 cm. For rhizome induction, the addition of either 5.37 μM 1-naphthaleneacetic acid (NAA) or 5.37 μM indole-3-butyric acid (IBA) resulted in average rhizome lengths of 1.9 cm and 1.7 cm, respectively, with fresh weights of the vitroplants ranging from 2.9 g to 3.1 g, and rooting percentages between 100% and 96%, respectively. Notably, the survival rate of rooted plants obtained through in vitro propagation was 90% after a 4-week acclimatization period in a cold greenhouse, indicating the efficacy of the developed protocol for mass propagation and conservation efforts of this vulnerable geophyte species.
Application of Smart Technology and Equipment in Horticulture
Authors: Wang Chenglin , Luo Lufeng
Published: June 2024

Horticulture, as an important component of modern agriculture, plays a significant role in beautifying the environment but also in enriching human nutrition [...]
Influence of the Application of Different Zinc Oxide Nanoparticles on a Lettuce Crop Grown in an Acidic Mediterranean Soil
Authors: Francisco Marina de , Fernandes-Silva Pedro , Durães Luisa , Romeiro Andreia , Álvarez-Torrellas Silvia , Almendros Patricia
Published: June 2024

Zinc (Zn) is a crucial micronutrient essential for the growth and development of crops. Recently, there has been growing interest in harnessing its benefits through the application of zinc oxide (ZnO) nanoparticles (NPs) as an alternative to conventional fertilizers. Different types of ZnO NPs were synthesized in the laboratory by a co-precipitation method using different precursor metal (Zn(NO3)2 for ZnO-1 and ZnSO4 for ZnO-2) and sources of hydroxyl groups (NaOH for ZnO-1 and NH4OH for ZnO-2) or by a sol–gel method, using ZnC4H6O4 (ZnO-3) or ZnSO4 (ZnO-4) as precursor metal. This study focused on the effect of these Zn sources on the impact on lettuce (Lactuca sativa L.) cultivation under acidic and Zn-deficient soil conditions. The efficacy of these Zn sources was evaluated by measuring the lettuce fresh weight, the stem diameter, the Zn concentrations in young leaves and mature leaves, the photosynthetic pigment content (chlorophyll and carotenoid), and the overall Zn status in the soil and soil pore water. The ZnO NPs with particle sizes of 76–104 nm positively affected the stem thickness (with an increase of up to 1.4 times that of the control) and crop biofortification with Zn (up to 3.2 and 12.6 times the Zn in young leaf and mature leaf, compared to the control). The smaller ZnO NPs (ZnO-1 and ZnO-3) showed the highest concentrations of bioavailable Zn and Zn in pore water at the end of the cultivation period (with an average increase of 41% compared to larger sources), resulting in high biofortification levels in both mature and young leaves. Peak concentrations of dissolved Zn in soil pore water were observed at 18 days after planting, followed by a decline attributed to the retention of Zn in more insoluble forms in the soil. The difference in Zn concentration between mature leaves and young leaves indicated its limited mobility in the plant, with more Zn accumulating in mature leaves.
Chitosan and GRAS Substances: An Alternative for the Control of Neofusicoccum parvum In Vitro, Elicitor and Maintenance of the Postharvest Quality of Avocado Fruits
Authors: Herrera-González Juan Antonio , Ramos-Bell Surelys , Bautista-Baños Silvia , Velázquez-Estrada Rita María , Rayón-Díaz Edson , Martínez-Batista Estefania , Gutiérrez-Martínez Porfirio
Published: June 2024

Postharvest avocado is susceptible to attack by Neofusicoccum parvum, which has been reported to cause black spot in avocado pulp. Therefore, it is necessary to look for alternatives for its control with products that are low-cost, effective and without risks to human health and the environment, and that also stimulate the defense mechanisms of the fruit. The aim was to evaluate the effect of basic and GRAS substance treatments on the in vitro control of N. parvum, and the induction of enzymes related to the defense mechanisms of the fruit. N. parvum was isolated from avocado fruit. Morphological and molecular identification was performed. In vitro and in vivo treatments were made for the control of pathogens and the induction of defense mechanisms in the fruit with basic and GRAS substance treatments based on chitosan and GRAS substances. The basic and GRAS substance treatments inhibited the development of N. parvum mycelium by 80–100%. In addition, they induced the activation of enzymes related to the defense mechanisms of the fruit (PAL, POD and PPO). The best basic and GRAS substance treatments, both in vitro and in vivo, were those based on chitosan (0.5%) and cinnamon essential oil (2.5%) when they were applied combined in the form of an emulsion.
Exogenous Application of Methyl Jasmonate Enhanced the Cold Tolerance of Jasminum sambac through Changes in Metabolites and Antioxidants
Authors: Chen Chen , Chen Hong , Yang Kaibo
Published: June 2024

Jasminum sambac is an excellent ornamental species that is renowned worldwide for its pure white flowers and strong fragrance. However, its intolerance to low temperatures limits its cultivation range. Methyl jasmonate (MeJA), an essential plant growth regulator, plays a significant role in assisting plants to resist various stresses. Hence, this study was carried out to decipher the capabilities of diverse concentrations of MeJA in helping J. sambac to resist cold stress by measuring different physiological indexes. A normal temperature (15 °C/10 °C) and low temperature (7 °C/2 °C) were applied to J. sambac seedlings, and a one-way analysis of variance followed by a Duncan’s multiple range test was adopted to compare the differences between the indicators under 5 μmol·L−1, 10 μmol·L−1 and 20 μmol·L−1 of MeJA treatments. The results showed that cold stress significantly decreased the contents of soluble sugar and soluble protein, while the application of MeJA at 10 μmol·L−1 and 20 μmol·L−1 resulted in a partial recovery. In addition, cold stress dramatically hindered the accumulation of total chlorophyll in leaves. Exogenous MeJA elevated the total chlorophyll content during the whole sampling period. The hydrogen peroxide and malondialdehyde levels generally increased in response to low temperatures, and they caused adverse effects on J. sambac, whereas this was effectively alleviated through the application of MeJA. MeJA was also able to improve the resistance of J. sambac by boosting the activity of antioxidant enzymes to remove the excess of reactive oxygen species. In conclusion, we highlighted that exogenous MeJA could attenuate the negative consequences of cold stress for J. sambac, and 10 μmol·L−1 of MeJA treatment could be a feasible strategy for enhancing the resistance of J. sambac to low temperatures and promoting its growth.
Antimicrobial Potential of Pomegranate and Lemon Extracts Alone or in Combination with Antibiotics against Pathogens
Authors: Farhat Grace , Cheng Lewis , Al-Dujaili Emad A. S. , Zubko Mikhajlo
Published: June 2024

Amidst the growing concern of antimicrobial resistance as a significant health challenge, research has emerged, focusing on elucidating the antimicrobial potential of polyphenol-rich extracts to reduce reliance on antibiotics. Previous studies explored the antifungal effects of extracts as potential alternatives to conventional therapeutic strategies. We aimed to assess the antibacterial and antifungal effects of standardised pomegranate extract (PE) and lemon extract (LE) using a range of Gram-negative and Gram-positive bacteria and two yeast species. Additionally, we assessed the antimicrobial activities of common antibiotics (Ciprofloxacin, Imipenem, Gentamicin, and Ceftazidime), either alone or in combination with extracts, against Staphylococcus aureus and Escherichia coli. PE displayed substantial antibacterial (primarily bactericidal) and antifungal effects against most pathogens, while LE exhibited antibacterial (mostly bacteriostatic) and antifungal properties to a lesser extent. When compared with antibiotics, PE showed a greater zone of inhibition (ZOI) than Ciprofloxacin and Ceftazidime (p < 0.01) and comparable ZOI to Gentamicin (p = 0.4) against Staphylococcus aureus. However, combinations of either PE or LE with antibiotics exhibited either neutral or antagonistic effects on antibiotic activity against Staphylococcus aureus and Escherichia coli. These findings contribute to the existing evidence regarding the antimicrobial effects of PE and LE. They add to the body of research suggesting that polyphenols exert both antagonistic and synergistic effects in antimicrobial activity. This highlights the importance of identifying optimal polyphenol concentrations that can enhance antibiotic activity and reduce antibiotic resistance. Further in vivo studies, starting with animal trials and progressing to human trials, may potentially lead to recommendation of these extracts for therapeutic use.
Investigating the Effectiveness of Ceragenins against Acinetobacter baumannii to Develop New Antimicrobial and Anti-Adhesive Strategies
Authors: Karasiński Maciej , Wnorowska Urszula , Daniluk Tamara , Deptuła Piotr , Łuckiewicz Milena , Paprocka Paulina , Durnaś Bonita , Skłodowski Karol , Sawczuk Beata , Savage Paul B. , Piktel Ewelina , Bucki Robert
Published: June 2024

A growing body of experimental data indicates that ceragenins (CSAs), which mimic the physicochemical properties of the host’s cationic antimicrobial peptide, hold promise for the development of a new group of broad-spectrum antimicrobials. Here, using a set of in vivo experiments, we assessed the potential of ceragenins in the eradication of an important etiological agent of nosocomial infections, Acinetobacter baumannii. Assessment of the bactericidal effect of ceragenins CSA-13, CSA-44, and CSA-131 on clinical isolates of A. baumannii (n = 65) and their effectiveness against bacterial cells embedded in the biofilm matrix after biofilm growth on abiotic surfaces showed a strong bactericidal effect of the tested molecules regardless of bacterial growth pattern. AFM assessment of bacterial cell topography, bacterial cell stiffness, and adhesion showed significant membrane breakdown and rheological changes, indicating the ability of ceragenins to target surface structures of A. baumannii cells. In the cell culture of A549 lung epithelial cells, ceragenin CSA-13 had the ability to inhibit bacterial adhesion to host cells, suggesting that it interferes with the mechanism of bacterial cell invasion. These findings highlight the potential of ceragenins as therapeutic agents in the development of antimicrobial strategies against bacterial infections caused by A. baumannii.
GOYA: Leveraging Generative Art for Content-Style Disentanglement
Authors: Wu Yankun , Nakashima Yuta , Garcia Noa
Published: June 2024

The content-style duality is a fundamental element in art. These two dimensions can be easily differentiated by humans: content refers to the objects and concepts in an artwork, and style to the way it looks. Yet, we have not found a way to fully capture this duality with visual representations. While style transfer captures the visual appearance of a single artwork, it fails to generalize to larger sets. Similarly, supervised classification-based methods are impractical since the perception of style lies on a spectrum and not on categorical labels. We thus present GOYA, which captures the artistic knowledge of a cutting-edge generative model for disentangling content and style in art. Experiments show that GOYA explicitly learns to represent the two artistic dimensions (content and style) of the original artistic image, paving the way for leveraging generative models in art analysis.
Optimizing Milling Parameters for Enhanced Machinability of 3D-Printed Materials: An Analysis of PLA, PETG, and Carbon-Fiber-Reinforced PETG
Authors: El Mehtedi Mohamad , Buonadonna Pasquale , El Mohtadi Rayane , Loi Gabriela , Aymerich Francesco , Carta Mauro
Published: June 2024

Fused deposition modeling (FDM) is widely applied in various fields due to its affordability and ease of use. However, it faces challenges such as achieving high surface quality, precise dimensional tolerance, and overcoming anisotropic mechanical properties. This review analyzes and compares the machinability of 3D-printed PLA, PETG, and carbon-fiber-reinforced PETG, focusing on surface roughness and burr formation. A Design of Experiments (DoE) with a full-factorial design was used, considering three factors: rotation speed, feed rate, and depth of cut. Each factor had different levels: rotational speed at 3000, 5500, and 8000 rpm; feed rate at 400, 600, and 800 mm/min; and depth of cut at 0.2, 0.4, 0.6, and 0.8 mm. Machinability was evaluated by roughness and burr height using a profilometer for all the materials under the same milling conditions. To evaluate the statistical significance of the influence of various processing parameters on surface roughness and burr formation in 3D-printed components made of three different materials—PLA, PETG, and carbon-fiber-reinforced PETG—an analysis of variance (ANOVA) test was conducted. This analysis investigated whether variations in rotational speed, feed rate, and depth of cut resulted in measurable and significant differences in machinability results. Results showed that milling parameters significantly affect roughness and burr formation, with optimal conditions for minimizing any misalignment highlighting the trade-offs in parameter selection. These results provide insights into the post-processing of FDM-printed materials with milling, indicating the need for a balanced approach to parameter selection based on application-specific requirements.
Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)
Authors: Xiao Teng , Feng Jiajun , Qiu Zhongfeng , Tang Rong , Zhao Aibo , Wong Kapo , Tsou Jin Yeu , Zhang Yuanzhi
Published: June 2024

Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm based on temperature gradients to analyze the characteristics of upwelling in Zhoushan and the Yangtze River Estuary over the past 28 years. The results indicate that upwelling in Zhoushan begins in April, peaks in July, gradually weakens, and disappears by October. The phenomenon is most pronounced during the summer months (June to August), with significant spatial distribution differences in April and September. Notably, high probability values of upwelling centers and core areas are mainly concentrated near Ma’an Island, Zhongjieshan Island, and Taohua Island. In these areas, upwelling remains stable during the summer, forming a unique “footprint” distribution pattern, and these are also the locations of the Zhoushan National Marine Ranch. From April to August, the extent of the upwelling area gradually decreases and stabilizes. These findings emphasize the frequent upwelling activity around Zhoushan and its significant contribution to the formation of local fisheries. Additionally, considering that the formation of natural upwelling in the East China Sea depends on the southern monsoon, the study suggests establishing artificial upwelling systems during periods unfavorable for natural upwelling, based on high probability areas, to enhance fishery yields and support the development of local fisheries.
Effects of Transcription Mode on Word-Level Features of Compositional Quality among French Immersion Elementary Students
Authors: Chin Michelle , White Carolyn , Burchell Diana , Hipfner-Boucher Kathleen , Broc Lucie , Chen Xi
Published: June 2024

Transcription is an important component of the writing process that affects the quality of children’s compositions. However, little is known about how transcription mode influences productivity or spelling accuracy, two word-level markers of compositional quality, among children learning to write in an additional language. To address this issue, we compared the effects of handwriting and keyboarding on text length and spelling in the compositions of L2 French learners. Grade 2 to 4 students (n = 48) in French Immersion were given two writing prompts and asked to produce one text on paper and one using a keyboard. The prompts were counterbalanced across the two writing conditions. The total number of words, total number of words spelled correctly, and proportion of correctly spelled words were calculated. A series of repeated measures ANOVAs revealed an advantage in both the average number of correctly spelled words and the proportion of correctly spelled words in the students’ compositions favouring the keyboarding condition. Conversely, the total number of words across conditions was not significantly different. Our findings suggest that keyboarding may offer an advantage over handwriting with respect to spelling accuracy in the context of L2 composition in the elementary years.
Chloride Binding Behavior and Pore Structure Characteristics of Low-Calcium High-Strength Cement Pastes
Authors: Wang Ziwei , Guo Minglei , Liu Chunlin , Lv Zhong , Xiang Tengfei , Zhang Shunquan , Chen Depeng
Published: June 2024

While Portland cement produces large amounts of carbon dioxide, low-calcium high-strength cements effectively reduce carbon emissions by decreasing the proportion of high-calcium minerals. In order to enhance the practical application value of low-calcium high-strength cement, the effects of mineral admixtures on the chloride binding capacity and pore structure characteristics of low-calcium high-strength cement pastes were investigated by equilibrium method and mercury intrusion method. The results showed that the chloride binding capacity of low-calcium high-strength cement pastes is superior to that of Portland cement. Fly ash and slag enhance this capacity by promoting monosulfoaluminate and C-S-H gel formation, with fly ash being more effective. Ground limestone also boosts chloride binding when incorporated at less than 10 wt%. However, sulfates have a more significant negative impact on chloride binding capacity in low-calcium high-strength cement pastes compared to Portland cement. The porosity of low-calcium high-strength cement pastes exhibits contrasting trends with the addition of fly ash, ground limestone, and slag. Fly ash and limestone initially coarsen the pore structure but later facilitate the transition of larger pores to smaller ones. In contrast, slag initially has little impact but later promotes the conversion of large capillary pores to medium ones, optimizing the pore structure. Notably, above 10 wt% fly ash, the critical pore diameter decreases with additional fly ash except at 10% where it increases for 3 days. Ground limestone enlarges the critical pore diameter, and this effect intensifies with higher content. During early hydration, slag decreases the critical pore diameter, but its impact diminishes in later stages.
Development of Low-Pressure Die-Cast Al−Zn−Mg−Cu Alloy Propellers—Part Ⅰ: Hot Tearing Simulations for Alloy Optimization
Authors: Kim Min-Seok , Kim Jiwon
Published: June 2024

Recent advances in the leisure boat industry have spurred demand for improved materials for propeller manufacturing, particularly high-strength aluminum alloys. While traditional Al-Si alloys like A356 are commonly used due to their excellent castability, they have limited mechanical properties. In contrast, 7xxx series alloys (Al−Zn−Mg−Cu based) offer superior mechanical characteristics but present significant casting challenges, including hot-tearing susceptibility (HTS). This study investigates the optimization of 7xxx series aluminum alloys for low-pressure die-casting (LPDC) processes to enhance propeller performance and durability. Using a constrained rod-casting (CRC) method and finite element simulations, we evaluated the HTS of various alloy compositions. The results indicate that increasing Zn and Cu contents generally increase HTS, while a sufficient Mg content of 2 wt.% mitigates this effect. Two optimized quaternary Al−Zn−Mg−Cu alloys with relatively low HTS were selected for LPDC propeller production. Simulation and experimental results demonstrated the effectiveness of the proposed alloy compositions, highlighting the need for further process optimization to prevent hot tearing in high Mg and Cu content alloys.
Response Surface Methodology for Kinematic Design of Soft Pneumatic Joints: An Application to a Bio-Inspired Scorpion-Tail-Actuator
Authors: Antonelli Michele Gabrio , Beomonte Zobel Pierluigi , Stampone Nicola
Published: June 2024

In soft robotics, the most used actuators are soft pneumatic actuators because of their simplicity, cost-effectiveness, and safety. However, pneumatic actuation is also disadvantageous because of the strong non-linearities associated with using a compressible fluid. The identification of analytical models is often complex, and finite element analyses are preferred to evaluate deformation and tension states, which are computationally onerous. Alternatively, artificial intelligence algorithms can be used to follow model-free and data-driven approaches to avoid modeling complexity. In this work, however, the response surface methodology was adopted to identify a predictive model of the bending angle for soft pneumatic joints through geometric and functional parameters. The factorial plan was scheduled based on the design of the experiment, minimizing the number of tests needed and saving materials and time. Finally, a bio-inspired application of the identified model is proposed by designing the soft joints and making an actuator that replicates the movements of the scorpion’s tail in the attack position. The model was validated with two external reinforcements to achieve the same final deformation at different feeding pressures. The average absolute errors between predicted and experimental bending angles for I and II reinforcement allowed the identified model to be verified.
Enhancing Photovoltaic-Powered DC Shunt Motor Performance for Water Pumping through Fuzzy Logic Optimization
Authors: Alkuhayli Abdulaziz , Noman Abdullah M. , Al-Shamma’a Abdullrahman A. , Abdurraqeeb Akram M. , Alharbi Mohammed , Hussein Farh Hassan M. , Qamar Affaq
Published: June 2024

This paper addresses the critical challenge of optimizing the maximum power point (MPP) tracking of photovoltaic (PV) modules under varying load and environmental conditions. A novel fuzzy logic controller design has been proposed to enhance the precision and adaptability of MPP monitoring and adjustment. The research objective is to improve the efficiency and responsiveness of PV systems by leveraging voltage and power as input parameters to generate an optimized duty cycle for a buck-boost converter. This system is tested through both simulation and experimental validation, comparing its performance against the conventional perturb and observe (P&O) method. Our methodology includes rigorous testing under diverse conditions, such as temperature fluctuations, irradiance variations, and sudden load changes. The fuzzy logic technique is implemented to adjust the reference voltage every 100 µs, ensuring continuous optimization of the PV module’s operation. The results revealed that the proposed fuzzy logic controller achieves a tracking efficiency of approximately 99.43%, compared to 97.83% for the conventional P&O method, demonstrating its superior performance. For experimental validation, a 150 W prototype converter controlled by a dSPACE DS1104 integrated solution was used. Real-world testing involved both a resistive static load and a dynamic load represented by a DC shunt motor. The experimental results confirmed the robustness and reliability of the fuzzy logic controller in maintaining optimal MPP operation, significantly outperforming traditional methods. In brief, this research introduces and validates an innovative fuzzy logic control strategy for MPP tracking, contributing to the advancement of PV system efficiency. The findings highlight the effectiveness of the proposed approach in consistently optimizing PV module performance across various testing scenarios.
A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters
Authors: Riccio Carlo , Menanno Marialuisa , Zennaro Ilenia , Savino Matteo Mario
Published: June 2024

Predictive maintenance (PdM) is the most suitable for production efficiency and cost reduction, aiming to perform maintenance actions when needed, avoiding unwanted failures and unnecessary preventive actions. The increasing use of 4.0 technologies in industries has allowed the adoption of recent advances in machine learning (ML) to develop an effective PdM strategy. Then again, production efficiency not only considers production volumes in terms of pieces or working hours, but also product quality (PQ), which is an important parameter to also detect possible defects in machines. In fact, PQ can be used as a parameter to predict possible failures and deeply affects manufacturing costs and reliability. In this context, this study aims to create a product performance-based maintenance framework through ML to determine the optimal PdM strategy based on the desired level of product quality and production performance. The framework is divided into three parts, starting from data collection, through the choice of the ML algorithm and model construction, and finally, the results analysis of the application to a real manufacturing process. The model has been tested within the production line of electromechanical components. The results show that the link between the variables representing the state of the machine and the qualitative parameters of the production process allows us to control maintenance actions based on scraps optimization, achieving an improvement in the reliability of the machine. Moreover, the application in the manufacturing process allows us to save about 50% of the costs for machine downtime and 64% of the costs for scraps.
Multi-Objective Optimization Study on the Coupling Mechanism of Underwater Wireless Power Transfer Systems
Authors: Hu Qiong , Zheng Meiling , Li Zhenfu , Qin Yu , Huang Junqiang , Ou Yujia
Published: June 2024

Magnetically coupled resonant wireless power transfer (MCR-WPT) technology offers longer effective transmission distances and higher efficiency compared to traditional charging methods, making it better suited to the prolonged and efficient operation of autonomous underwater vehicles. This paper first establishes a traditional mathematical model and then refines it while analyzing the variations in the self-inductance and mutual inductance of underwater coils. To further enhance the system’s performance, a multi-objective optimization of the coupling mechanism is conducted. An orthogonal experiment is employed to determine the effects of various influencing factors on the coils’ self-inductance and mutual inductance. Subsequently, an RBF neural network is used to create a regression prediction model based on the results of the orthogonal experiment. The NSGA-II algorithm is then applied for the multi-objective optimization of the coupling mechanism, resulting in a Pareto front solution set. The optimized efficiency is 93.35%, representing an approximately 6% improvement over the original system, with the power density increasing from 1.267×106 W/m3 before optimization to 4.782×106 W/m3 after optimization. Significant enhancement in system performance is achieved.
A Mathematical Theory of Motion of Researchers between Research Organizations
Authors: Vitanov Nikolay K. , Dimitrova Zlatinka I.
Published: June 2024

We discuss a mathematical model of motion of substance in a node of a network which has a structure consisting of a chain of cells. An exact solution for the model equations is obtained in the case when the structure of the node is a chain of two cells. The obtained general results are applied to the construction of a theory for the specific case of motion of young and experienced researchers between research organizations. For this case, we obtain analytical relationships for the time dependence of the number of two kinds of researchers in the studied research organization. These relationships are based on a specific choice of the time-dependent parameters of the model. The obtained analytical results show that the changes in the numbers of young and experienced researchers in a research organization may depend on the ratio between the initial numbers of the two kinds of researchers as well as on the parameters regulating the exchange of researchers between the research organization and the rest of the research environment.
Limit Theorems in the Nonparametric Conditional Single-Index U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design
Authors: Bouzebda Salim
Published: June 2024

In his work published in (Ann. Probab. 19, No. 2 (1991), 812–825), W. Stute introduced the notion of conditional U-statistics, expanding upon the Nadaraya–Watson estimates used for regression functions. Stute illustrated the pointwise consistency and asymptotic normality of these statistics. Our research extends these concepts to a broader scope, establishing, for the first time, an asymptotic framework for single-index conditional U-statistics applicable to locally stationary random fields {Xs,An:sinRn} observed at irregularly spaced locations in Rn, a subset of Rd. We introduce an estimator for the single-index conditional U-statistics operator that accommodates the nonstationary nature of the data-generating process. Our method employs a stochastic sampling approach that allows for the flexible creation of irregularly spaced sampling sites, covering both pure and mixed increasing domain frameworks. We establish the uniform convergence rate and weak convergence of the single conditional U-processes. Specifically, we examine weak convergence under bounded or unbounded function classes that satisfy specific moment conditions. These findings are established under general structural conditions on the function classes and underlying models. The theoretical advancements outlined in this paper form essential foundations for potential breakthroughs in functional data analysis, laying the groundwork for future research in this field. Moreover, in the same context, we show the uniform consistency for the nonparametric inverse probability of censoring weighted (I.P.C.W.) estimators of the regression function under random censorship, which is of its own interest. Potential applications of our findings encompass, among many others, the set-indexed conditional U-statistics, the Kendall rank correlation coefficient, and the discrimination problems.
Cold Knife Versus Carbon Dioxide for the Treatment of Preinvasive Cervical Lesion
Authors: Ferrari Federico , Bonetti Emma , Oliveri Giulia , Giannini Andrea , Gozzini Elisa , Conforti Jacopo , Ferrari Filippo Alberto , Salinaro Federica , Tisi Giancarlo , Ciravolo Giuseppe , Favilli Alessandro , Odicino Franco
Published: June 2024

Background and Objectives: Cervical cancer (CC) represents a significant health concern worldwide, particularly for younger women. Cold knife (CK) conization and carbon dioxide (CO2) laser conization are two techniques commonly used to remove pre-invasive lesions, offering a potential curative intent in cases of incidental diagnosis of CC. This study aimed to assess the clinical implications and pathological outcomes of CK vs. CO2 laser conization for pre-invasive lesions. Materials and Methods: We retrospectively analyzed women who underwent CO2 or CK conization for high-grade preinvasive lesions (CIN2/3, CIS and AIS) between 2010 and 2022. Patient demographics, surgical details and pathological outcomes were collected. Pregnancy outcomes, including composite adverse obstetric rates, and oncological follow-up data, were also obtained. Results: In all, 1270 women were included; of them, 1225 (96.5%) underwent CO2, and 45 (3.5%) underwent CK conization. Overall, the rate of positive endocervical or deep margins was lower with CO2 laser compared to CK (4.3% vs. 13.3%, p = 0.015). Incidental CC was diagnosed in 56 (4.4%) patients, with 35 (62.5%) squamous and 21 (46.6%) adenocarcinomas. In a multivariate regression model, the relative risk for positive endocervical or deep margins is significantly greater in cases of incidental diagnosis of CC (p < 0.01). In cases of incidental diagnosis of CC, we found that the probabilities of having either positive endocervical or deep margins after CO2 laser or CK conization are similar, with a higher risk in case of adenocarcinoma lesion. Among women with CC, 42 (75%) opted for radical treatment, while 14 (25%) underwent a follow-up. Only one woman (7.1%) in the follow-up group, who had undergone CK conization, experienced a composite adverse obstetric outcome. No recurrences were observed after a median follow-up of 53 months. Conclusions: CO2 laser conization achieved a lower positive margin rate overall. CK and CO2 conization appear to be equivalent oncological options for incidental CC.
The Complementary Roles of Neurological and Musculoskeletal Physical Therapy and Regenerative Medicine: A Comprehensive Review
Authors: Mureed Maryam , Fatima Arooj , Sattar Tayyaba , Aiman Batool Syeda , Zahid Ambreen , Usman Khan Haleema , Fatima Arooj , Shahid Hamna , Nasir Saba , Yizdin Mehsn , Tehmahb Elih , Tebyaniyan Hamid
Published: June 2024

Regenerative medicine, encompassing various therapeutic approaches aimed at tissue repair and regeneration, has emerged as a promising field in the realm of physical therapy. Aim: This comprehensive review seeks to explore the evolving role of regenerative medicine within the domain of physical therapy, highlighting its potential applications, challenges, and current trends. Researchers selected publications of pertinent studies from 2015 to 2024 and performed an exhaustive review of electronic databases such as PubMed, Embase, and Google Scholar using the targeted keywords “regenerative medicine”, “rehabilitation”, “tissue repair”, and “physical therapy” to screen applicable studies according to preset parameters for eligibility, then compiled key insights from the extracted data. Several regenerative medicine methods that are applied in physical therapy, in particular, stem cell therapy, platelet-rich plasma (PRP), tissue engineering, and growth factor treatments, were analyzed in this research study. The corresponding efficacy of these methods in the recovery process were also elaborated, including a discussion on facilitating tissue repair, alleviating pain, and improving functional restoration. Additionally, this review reports the challenges concerning regenerative therapies, among them the standardization of protocols, safety concerns, and ethical issues. Regenerative medicine bears considerable potential as an adjunctive therapy in physiotherapy, providing new pathways for improving tissue repair and functional results. Although significant strides have been made in interpreting the potential of regenerative techniques, further research is warranted to enhance protocols, establish safety profiles, and increase access and availability. Merging regenerative medicine into the structure of physical therapy indicates a transformative alteration in clinical practice, with the benefit of increasing patient care and improving long-term results.
Pomegranate Peel and Olive Leaf Extracts to Optimize the Preservation of Fresh Meat: Natural Food Additives to Extend Shelf-Life
Authors: Forgione Giuseppina , De Cristofaro Giuseppa Anna , Sateriale Daniela , Pagliuca Chiara , Colicchio Roberta , Salvatore Paola , Paolucci Marina , Pagliarulo Caterina
Published: June 2024

Quality and safety are one of the main concerns of the European Union in food preservation. Using chemical additives extends the shelf-life of fresh foods but raises consumer’s concerns about the potential long-term carcinogenic effects. Using natural substances derived from agro-industrial by-products, which have significant antimicrobial and antioxidant activities, could extend the shelf-life of fresh foods such as meat. Furthermore, they can provide nutritional improvements without modifying organoleptic properties. This study analyzes the antimicrobial activity of pomegranate peel extract (PPE) and the antioxidant activity of olive leaf extract (OLE), added at concentrations of 10 mg g−1 and 0.25 mg g−1, respectively, to minced poultry and rabbit meat. PPE exhibited in vitro antimicrobial activity against foodborne pathogens starting at 10 mg/well. PPE and OLE determined a reduction in colony count over a storage period of 6 days at 4 °C. Additionally, the combination of PPE and OLE showed antioxidant effects, preserving lipid oxidation and maintaining pH levels. The obtained results demonstrate that PPE and OLE can be recommended as food additives to preserve the quality and extend the shelf-life of meat products.
DNA Methylation Levels of the ACE2 Promoter Are Not Associated with Post-COVID-19 Symptoms in Individuals Who Had Been Hospitalized Due to COVID-19
Authors: Fernández-de-las-Peñas César , Díaz-Gil Gema , Gil-Crujera Antonio , Gómez-Sánchez Stella M. , Ambite-Quesada Silvia , Torres-Macho Juan , Ryan-Murua Pablo , Franco-Moreno Anabel , Pellicer-Valero Oscar J. , Arendt-Nielsen Lars , Giordano Rocco
Published: June 2024

It is known that SARS-CoV-2 can translocate via membrane ACE2 exopeptidase into the host cells, and thus hypomethylation of ACE2 possibly upregulates its expression, enhancing the risk of SARS-CoV-2 infection. This study investigated if DNA methylation levels of the ACE2 promoter are associated with the development of post-COVID-19 symptomatology in a cohort of COVID-19 survivors who had been previously hospitalized. Non-stimulated saliva samples were obtained from 279 (51.5 male, mean age: 56.5 ± 13.0 years old) COVID-19 survivors who were hospitalized during the first wave of the pandemic. A face-to-face interview in which patients described the presence of post-COVID-19 symptoms (defined as a symptom that started no later than three months after SARS-CoV-2 infection) that they suffered from to an experienced healthcare trainer was conducted. Methylation of five CpG dinucleotides in the ACE2 promoter was quantified using bisulfite pyrosequencing. The percentage of methylation (%) was associated with the presence of the following reported post-COVID-19 symptoms: fatigue, dyspnea at rest, dyspnea at exertion, brain fog, memory loss, concentration loss, or gastrointestinal problems. Participants were assessed a mean of 17.8 (SD: 5.3) months after hospitalization. At that time, 88.1% of the patients experienced at least one post-COVID-19 symptom (mean number for each patient: 3.0; SD: 1.9 post-COVID-19 symptoms). Dyspnea at exertion (67.3%), fatigue (62.3%), and memory loss (31.2%) were the most frequent post-COVID-19 symptoms in the sample. Overall, the analysis did not reveal any difference in the methylation of the ACE2 promoter in any of the CpG locations according to the presence or absence of fatigue, dyspnea at rest, dyspnea at exertion, memory loss, brain fog, concentration loss, and gastrointestinal problems. This study did not find an association between methylation of ACE2 promoter and the presence of post-COVID-19 fatigue, dyspnea, cognitive or gastrointestinal problems in previously hospitalized COVID-19 survivors.
The Phylogeny and Metabolic Potentials of an Aromatics-Degrading Marivivens Bacterium Isolated from Intertidal Seawater in East China Sea
Authors: Sun Chengwen , Wang Zekai , Yu Xi , Zhang Hongcai , Cao Junwei , Fang Jiasong , Wang Jiahua , Zhang Li
Published: June 2024

Lignocellulosic materials, made up of cellulose, hemicellulose, and lignin, constitute some of the most prevalent types of biopolymers in marine ecosystems. The degree to which marine microorganisms participate in the breakdown of lignin and their impact on the cycling of carbon in the oceans is not well understood. Strain LCG002, a novel Marivivens species isolated from Lu Chao Harbor’s intertidal seawater, is distinguished by its ability to metabolize lignin and various aromatic compounds, including benzoate, 3-hydroxybenzoate, 4-hydroxybenzoate and phenylacetate. It also demonstrates a broad range of carbon source utilization, including carbohydrates, amino acids and carboxylates. Furthermore, it can oxidize inorganic gases, such as hydrogen and carbon monoxide, providing alternative energy sources in diverse marine environments. Its diversity of nitrogen metabolism is supported by nitrate/nitrite, urea, ammonium, putrescine transporters, as well as assimilatory nitrate reductase. For sulfur assimilation, it employs various pathways to utilize organic and inorganic substrates, including the SOX system and DSMP utilization. Overall, LCG002’s metabolic versatility and genetic profile contribute to its ecological significance in marine environments, particularly in the degradation of lignocellulosic material and aromatic monomers.