bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Suspension Fertilizers Based on Waste Phosphorus Salts from Polyol Production on the Content of Macronutrients in Maize Grown for Green Fodder
Authors: Bogusz Paulina , Brodowska Marzena Sylwia , Muszyński Paweł
Published: September 2024

Mineral phosphorus is a non-renewable resource that is constantly decreasing due to intensive fertilizer production. In total, 90% of mined phosphate ore is used for fertilizer purposes, so the demand for phosphorus is the highest in this sector. In this respect, it is advisable to strive to close the phosphorus cycle. In addition, economically viable phosphate-bearing deposits are concentrated in just a few locations worldwide. This comes down to the fact that most countries are simply dependent on imports of this raw material. This and the growing amount of waste have contributed to the search for alternative sources of phosphorus. One example of such phosphorus-containing waste that has fertilizer potential is sodium–potassium phosphate waste from polyol production. This article describes the effect of suspension fertilizers based on polyol production waste on the content of macronutrients in maize intended for green fodder. Fertilizers containing only basic nutrients (NPK) and fertilizers enriched with secondary components (S, Mg) and micronutrients (Zn, Mn, B) were evaluated. The conducted studies confirmed the effectiveness of the tested suspension fertilizers. The content of macronutrients in the dry mass of maize was at a similar level compared with the results obtained in the control, in which Fosdar was used for fertilization, which confirms the suitability of these products for agricultural use.
Clinical and Ocular Inflammatory Inhibitors of Viral-Based Gene Therapy of the Retina
Authors: Ohlhausen Marc , Conrady Christopher D.
Published: September 2024

Gene therapy is an emerging field of medicine that can target and treat previously untreatable blinding or lethal diseases. Within the field of ophthalmology, gene therapy has emerged to treat retinal degenerative disorders, but its exact role is in its infancy. While this exciting frontier is rapidly expanding, these typically viral-based gene therapy vectors trigger a host immune response. Thus, a better understanding of the host immune response to gene therapies is critical, in that harnessing immunity to these vectors may improve treatment efficacy and reduce the risk of vision loss from inflammation. As such, we will discuss innate and adaptive immunity to gene therapy vectors, and avenues through which this response may be harnessed to improve visual outcomes.
Why Do People Choose a Particular Dog? A Mixed-Methods Analysis of Factors Owners Consider Important When Acquiring a Dog, on a Convenience Sample of Austrian Pet Dog Owners
Authors: Udvarhelyi-Tóth Kata Mária , Iotchev Ivaylo B. , Kubinyi Eniko , Turcsán Borbála
Published: September 2024

Selecting a dog that is incompatible with the owner’s expectations can negatively impact both parties. Previous studies on dog acquisition have primarily focused on shelter environments, using closed-ended questions to assess hypothetical preferences. In contrast, our study employed open-ended questions with a convenience sample of Austrian dog owners (N = 1077) to retrospectively explore why the owners chose their dogs. We also examined consistency in owners’ responses and the influence of owner characteristics (age, education, household composition, previous dog experience, purpose of acquisition) on their reasons. Content analysis revealed 24 codes; the frequency of codes was 2.4/response. The most frequent codes were breed-based choice (29%), choosing on a whim, without careful consideration (24%), work/sport skills (22%), and rescuing a dog (17%). The least frequent were the age (1%), health (1%), sex (1%), and guarding skills (0.6%) of the dog. Twelve codes were consistent over time, and ten were consistent across dogs, indicating that the owners showed a consistent preference for certain traits. Except for the owner’s education level, all characteristics affected the likelihood of mentioning at least one code. Most associations were found with the presence of children in the household: owners with children preferred friendly, easily manageable, and easy-to-train dogs and were less likely to adopt or rescue compared to owners living without children. Our findings also highlight discrepancies between spontaneous (free-text) reports and responses to closed-ended questions, underscoring the importance of qualitative data in better understanding the motivations behind and the factors influencing dog acquisition.
Effects of Rheum palmatum Root on In Vitro and In Vivo Methane Production and Rumen Fermentation Characteristics
Authors: Lee Seong Shin , Wi Jisoo , Kim Hyun Sang , Seong Pil Nam , Lee Sung Dae , Kim Jungeun , Lee Yookyung
Published: September 2024

This study investigated the impact of Rheum palmatum root (RP) for reducing methane and its impact on rumen fermentation and blood metabolites in cattle. Rumen fluid was collected from three cannulated steers (736 ± 15 kg) and mixed with buffer (1:3 ratio) for the in vitro trial. Treatments were divided into control and RP supplement groups (1%, 3%, and 5% of substrates), with each sample incubated at 39 °C for 24 and 48 hours. Methane was measured after incubation, showing a dose-dependent linear decrease after 48 hours. Quadratic changes were observed in total volatile fatty acids, acetate, and butyrate. Additionally, in vitro dry matter digestibility decreased linearly with RP inclusion. In vivo trials involved four Korean steers in a 2 × 2 crossover design over 3 weeks, with treatments including a control group and a group with 3% RP addition. Dry matter intake (DMI) tended to decrease in the RP group compared to the control. Methane emissions (g/kg DMI) were not affected by RP addition. Blood metabolites indicated higher lipase concentrations in the RP group. In conclusion, RP reduced methane production in the in vitro trial but had no effect in the in vivo trial, likely due to adaptation of ruminal bacteria to RP.
Antibacterial Activity and Prebiotic Properties of Six Types of Lamiaceae Honey
Authors: Nazzaro Filomena , Ombra Maria Neve , Coppola Francesca , De Giulio Beatrice , d’Acierno Antonio , Coppola Raffaele , Fratianni Florinda
Published: September 2024

Our work investigated the antimicrobial and prebiotic properties of basil, mint, oregano, rosemary, savory, and thyme honey. The potential antimicrobial action, assessed against the pathogens Acinetobacter baumannii, Escherichia coli, Listeria monocytogenes, Pseudomonas aeruginosa, and Staphylococcus aureus, evidenced the capacity of the honey to influence the pathogenic hydrophobicity and hemolytic activities. Honey inhibited pathogen biofilms, acting especially on the mature biofilms, with inhibition rates of up to 81.62% (caused by the presence of mint honey on L. monocytogenes). S. aureus biofilms were the most susceptible to the presence of honey, with inhibition rates up of to 67.38% in the immature form (caused by basil honey) and up to 80.32% in the mature form (caused by mint honey). In some cases, the amount of nuclear and proteic material, evaluated by spectrophotometric readings, if also related to the honey’s biofilm inhibitory activity, let us hypothesize a defective capacity of building the biofilm scaffold or bacterial membrane damage or an incapability of producing them for the biofilm scaffold. The prebiotic potentiality of the honey was assessed on Lacticaseibacillus casei Shirota, Lactobacillus gasseri, Lacticaseibacillus paracasei subsp. paracasei, and Lacticaseibacillus rhamnosus and indicated their capacity to affect the whole probiotic growth and in vitro adhesive capacity, as well as the antioxidant and cytotoxic abilities, and to inhibit, mainly in the test performed with the L. casei Shirota, L. gasseri, and L. paracasei supernatants, the immature biofilm of the pathogens mentioned above.
A Comprehensive Review on Phage Therapy and Phage-Based Drug Development
Authors: Cui Longzhu , Watanabe Shinya , Miyanaga Kazuhiko , Kiga Kotaro , Sasahara Teppei , Aiba Yoshifumi , Tan Xin-Ee , Veeranarayanan Srivani , Thitiananpakorn Kanate , Nguyen Huong Minh , Wannigama Dhammika Leshan
Published: September 2024

Phage therapy, the use of bacteriophages (phages) to treat bacterial infections, is regaining momentum as a promising weapon against the rising threat of multidrug-resistant (MDR) bacteria. This comprehensive review explores the historical context, the modern resurgence of phage therapy, and phage-facilitated advancements in medical and technological fields. It details the mechanisms of action and applications of phages in treating MDR bacterial infections, particularly those associated with biofilms and intracellular pathogens. The review further highlights innovative uses of phages in vaccine development, cancer therapy, and as gene delivery vectors. Despite its targeted and efficient approach, phage therapy faces challenges related to phage stability, immune response, and regulatory approval. By examining these areas in detail, this review underscores the immense potential and remaining hurdles in integrating phage-based therapies into modern medical practices.
Insights into the Virulence and Antimicrobial Resistance of Staphylococcus hyicus Isolates from Spanish Swine Farms
Authors: Mencía-Ares Oscar , Ramos-Calvo Eva , González-Fernández Alba , Aguarón-Turrientes Álvaro , Pastor-Calonge Ana Isabel , Miguélez-Pérez Rubén , Gutiérrez-Martín César B. , Martínez-Martínez Sonia
Published: September 2024

Staphylococcus hyicus is a significant pathogen in swine, primarily causing exudative epidermitis. Addressing S. hyicus infections requires both the characterization of virulence and antimicrobial resistance (AMR) in farm-recovered isolates. This study aimed to characterize the virulence, AMR, and biofilm formation of S. hyicus isolates from Spanish swine farms. A total of 49 isolates were analyzed, originating from animals with cutaneous, reproductive, and systemic clinical signs. Half of the isolates (49.0%) were positive for at least one virulence factor (VF) gene, with SHETA being the most frequent (28.6%). A high frequency of multidrug resistant (MDR) isolates was observed (83.7%), with significant resistance to commonly used antimicrobials, including lincosamides (83.7%), pleuromutilins (81.6%), penicillins (75.5%), and tetracyclines (73.5%). All isolates exhibited robust in vitro biofilm formation capacity (DC = 15.6 ± 7.0). Significant associations were found between VFs, biofilm formation, and AMR patterns, highlighting the link between the resistance to lincosamides and pleuromutilins (p < 0.001; Φ = 0.57) and macrolides (p < 0.001; Φ = 0.48), and the association of AMR with the ExhC and ExhD VF genes. These findings underscore the need for targeted diagnostics to improve management and therapeutic strategies to mitigate the impact of S. hyicus on swine production.
Effects of Water-Reducing Agents on the Mechanical Properties of Foamed Phosphogypsum
Authors: Yu Jian , Wang Hongxia , Wu Fade , Yu Haiyan , Guo Junhua
Published: September 2024

In the present experiment, two types of water-reducing agents, naphthalene (FDN) and polycarboxylic acid (PCE), were selected, and their effects on the mechanical properties of foamed phosphogypsum were evaluated. It was shown that when the water-reducing agent contents were increased, the strength of the foamed phosphogypsum first increased and then gradually decreased, and that the dry density of the foamed phosphogypsum first decreased and then gradually increased. The FDN samples had better mechanical properties and a lower dry density than the PCE samples. The effect of the water-reducing agent dose on the apparent viscosity and shear stress of the phosphogypsum slurries was in the order of 0% > 0.4% > 0.3% > 0.5% > 0.2% > 0.1%. The apparent viscosity and shear stress of the gypsum slurry mixed with 0.4% FDN or PCE were the highest. FDN and PCE both enlarged the pore size distribution range, increased the size and proportion of large pores, and decreased the total pore content of foamed phosphogypsum; however, the effect of PCE was more significant. The foamed phosphogypsum slurry mixed with 0.4% FDN had the highest total pore content. Among the samples, the total pore content of foamed phosphogypsum A was able to reach 91% and the total pore content of foamed phosphogypsum B reached 77%; the lowest proportion of large pores for foamed phosphogypsum A and B separately reached 17% and 7%, respectively. The water-reducing agents mainly reduced the water consumption of the phosphogypsum slurries; improved the viscosity and shear stress of the slurries; affected the stability of the foam in the gypsum slurries; influenced the pore size and distribution in the foamed phosphogypsum samples; and caused a difference in the strength and dry density of the foamed phosphogypsum samples. The viscosity of the gypsum slurry doped with 0.4% FDN better matched that of the foam; therefore, it had the highest macro-strength and the lowest dry density.
Exploring the Effects of Multi-Factors on User Emotions in Scenarios of Interaction Errors in Human–Robot Interaction
Authors: Gao Wa , Tian Yuan , Shen Shiyi , Ji Yang , Sun Ning , Song Wei , Zhai Wanli
Published: September 2024

Interaction errors are hard to avoid in the process of human–robot interaction (HRI). User emotions toward interaction errors could further affect the user’s attitudes to robots and experiences of HRI and so on. In this regard, the present study explores the effects of different factors on user emotions when interaction errors occur in HRI. There is sparse research directly studying this perspective. In so doing, three factors, including robot feedback, passive and active contexts, and previous user emotions, were considered. Two stages of online surveys with 465 participants were implemented to explore attitudes to robots and the self-reporting of emotions in active and passive HRI. Then, a Yanshee robot was selected as the experimental platform, and 61 participants were recruited for a real human–robot empirical study based on the two surveys. According to the results of statistical analysis, we conclude some design guides can cope with scenarios of interaction errors. For example, feedback and previous emotions have impacts on user emotions after encountering interaction errors, but contexts do not. There are no interactive effects between the three factors. The approach to reduce negative emotions in the cases of interaction errors in HRI, such as providing irrelevant feedback and so on, is also illustrated in the contributions.
Determining the Optimal Positions of Infill Balise Groups for ERTMS/ETCS Level 1 Applications
Authors: Wink Christopher , Nießen Nils
Published: September 2024

This paper presents a method to determine the optimal positions of infill balise groups for applications of European Train Control System (ETCS) level 1. ETCS will be the only train protection system in the European Union of the future. Level 1 specifically enables a less complex system while retaining full compatibility to and interoperability of ETCS level 2. In level 1, the Movement Authority (MA), which contains information on how far and at what speed the train is authorized to run, is transmitted at fixed locations where switchable radio beacons—infill balise groups—are placed. Due to technical and economical constraints, their locations need to be optimized so that they provide the maximum operational benefit. Such a method with universal adaptability has not been available to date, so we developed an algorithm that determines the optimal locations of infill balise groups. The algorithm uses the basic laws of motion combined with domain knowledge about railways in general and specifically ETCS. All important parameters are considered while retaining simplicity in the application, making it convenient to use for planning new ETCS deployments and as a foundation for future research on ETCS level 1. The algorithm was implemented using Python and tested with real-world train characteristics.
Comparison of PM10 Levels in Three of the Most Polluted Cities in Romania over the Periods Related to Lower Traffic—Implications for Human Health
Authors: Burghelea George-Bogdan , Mărmureanu Luminita , Iorga Gabriela , Antonescu Bogdan
Published: September 2024

The COVID-19 pandemic has provided an opportunity to examine the impact of reduced human activity on air quality. This study assesses the levels of particulate matter (PM10) in three cities—Bucharest, Brașov, and Iași—during the pandemic restrictions in 2020, comparing them with data from the pre-pandemic period (2017–2019) and post-lockdown period (2021–2022). The results show a significant decrease in PM10 levels during the lockdown, which is closely associated with reduced traffic and mobility. Notably, while PM10 concentrations initially spiked at the beginning of 2020, they markedly declined following the enforcement of lockdown measures, during which mobility to workplaces in these cities decreased by about 60% in Bucharest, 50% in Brașov, and 45% in Iași. Health risks related to PM10 exposure were evaluated using the hazard quotient method, following EU and WHO guidelines. Despite the reduction in pollution levels in 2020, the findings suggest long-term human health risks for residents of these cities. This research highlights the critical need for sustainable strategies to address air quality issues in urban areas and protect public health.
Advances in the Kinematics of Hexapod Robots: An Innovative Approach to Inverse Kinematics and Omnidirectional Movement
Authors: Lizarraga Jorge A. , Garnica Jose A. , Ruiz-Leon Javier , Munoz-Gomez Gustavo , Alanis Alma Y.
Published: September 2024

Hexapod robots have gained significant attention due to their potential applications in complex terrains and dynamic environments. However, traditional inverse kinematics approaches often face challenges in meeting the precision required for adaptive omnidirectional movement. This work introduces a novel approach to addressing these challenges through the Directed Angular Restitution (DAR) method. The DAR method offers significant innovation by simplifying the calculation of rotational transformations necessary for aligning vectors across different planes, thus enhancing control, stability, and accuracy in robotic applications. Unlike conventional methods, the DAR method extends the range of trigonometric functions and incorporates spin functions to ensure continuous and smooth trajectory tracking. This innovative approach has been rigorously tested on a hexapod robot model, demonstrating superior performance in movement precision and stability. The results confirm that the DAR method provides a robust and scalable solution for the inverse kinematics of hexapod robots, making it a critical advancement for applications in robotics and automation where precise control and adaptability are paramount.
Impact of Fish, Mollusk and Seafood Consumption before Sample Donation on Urinary and Toenail Metal Levels in Workers Exposed to Heavy Metals
Authors: Silva-Caicedo Rommel Fernando , Contreras-Llanes Manuel , Capelo Rocío , Zumel-Marne Angela , García-Sevillano Miguel Ángel , Santos-Sánchez Vanesa , Alguacil Juan
Published: September 2024

Introduction: We assessed the impact on metal levels of seafood, mollusk and fish consumption (SMFc) before urine and toenail sample donation among workers exposed to metals. Methods: This is a cross-sectional epidemiological study with 101 workers from the chemical and metal industry and 40 unexposed workers from the services sector. We measured urinary (As, Ba, Be, Cd, Co, Cu, Hg, Li, Mo, Pb, Se, Sr, Tl, V, W and Zn) and toenail (same plus Al, Cr, Fe, Mn, Ni and U) metal levels. Results: Urinary arsenic levels were higher among workers eating seafood or mollusks (102 ppm vs. 55.4 ppm; p = 0.042) or fish (109 ppm vs. 48 ppm; p = 0.007) 8 h before sample donation. Urinary mercury was associated with consumption of blue fish (11.865 ppm) and canned sardines (19.125 ppm) (p = 0.028). With respect to toenails, fish consumption was associated with aluminum (17 ppm vs. 8.6 ppm; p = 0.012) and beryllium (5 ppb vs. 1 ppb; p = 0.017). Arsenic urinary levels were associated with numbers of hours prior to sample collection since latest SMFc (p = 0.001). Conclusion: Among workers exposed to metals, seafood, mollusk and fish consumption is an important determinant of urinary arsenic levels, as sea fish for urinary mercury, but not for other metals.
Multimodal Framework for Fine and Gross Upper-Limb Motor Coordination Assessment Using Serious Games and Robotics
Authors: Oña Edwin Daniel , Pernalete Norali , Jardón Alberto
Published: September 2024

A critical element of neurological function is eye–hand coordination: the ability of our vision system to coordinate the information received through the eyes to control, guide, and direct the hands to accomplish a task. Recent evidence shows that this ability can be disturbed by strokes or other neurological disorders, with critical consequences for motor behaviour. This paper presents a system based on serious games and multimodal devices aimed at improving the assessment of eye–hand coordination. The system implements gameplay that involves drawing specific patterns (labyrinths) to capture hand trajectories. The user can draw the path using multimodal devices such as a mouse, a stylus with a tablet, or robotic devices. Multimodal input devices can allow for the evaluation of complex coordinated movements of the upper limb that involve the synergistic motion of arm joints, depending on the device. A preliminary test of technological validation with healthy volunteers was conducted in the laboratory. The Dynamic Time Warping (DTW) index was used to compare hand trajectories without considering time-series lag. The results suggest that this multimodal framework allows for measuring differences between fine and gross motor skills. Moreover, the results support the viability of this system for developing a high-resolution metric for measuring eye–hand coordination in neurorehabilitation.
Exploring Recent (1991–2020) Trends of Essential Climate Variables in Greece
Authors: Lagouvardos Konstantinos , Dafis Stavros , Kotroni Vassiliki , Kyros George , Giannaros Christos
Published: September 2024

Europe and the Mediterranean are considered climate change hot spots. This is the reason why this paper focuses on the analysis of the trends of essential climate variables in a Mediterranean country, Greece. The analyzed period is 1991–2020, and the dataset used is ERA5-Land (produced by the European Center for Medium-Range Weather Forecasts), which has global coverage and an improved resolution of ~9 × 9 km compared to other datasets. Significant climatic changes across Greece have been put in evidence during the analyzed period. More specifically, the country averaged a 30-year trend of temperature of +1.5 °C, locally exceeding +2 °C, and this increasing trend is positively correlated with the distance of the areas from the coasts. Accordingly, the number of frost days has decreased throughout the country. In terms of rainfall, a major part of Greece has experienced increasing annual rainfall amounts, while 86% of the Greek area has experienced a positive trend of days with heavy rainfall (>20 mm). Finally, a multiple signal of the trend of consecutive dry days was found (statistically non-significant in the major part of Greece).
Numerical Investigation of Track and Intensity Evolution of Typhoon Doksuri (2023)
Authors: Vu Dieu-Hong , Huang Ching-Yuang , Nguyen Thi-Chinh
Published: September 2024

This study utilized the WRF model to investigate the track evolution and rapid intensification (RI) of Typhoon Doksuri (2023) as it moved across the Luzon Strait and through the South China Sea (SCS). The simulation results indicate that Doksuri has a smaller track sensitivity to the use of different physics schemes, while having a greater intensity sensitivity. Sensitivity numerical experiments with different physics schemes can well capture its northwestward movement in the first two days, but they predict less westward track deflection as the typhoon moves across the Luzon Strait and through the SCS. Moreover, all the experiments successfully simulated Doksuri’s RI, albeit with quite different rates and a time lag of 12 h. Among different combinations of physics schemes, there exists an optimal set of cumulus parameterization and cloud microphysics schemes for track and intensity predictions. Doksuri’s track changes as the typhoon moved across the Luzon Strait and through the SCS were influenced by the topographic effects of the terrain of the Philippines and Taiwan, to different extents. The track changes of Doksuri are explained by the wavenumber-one potential vorticity (PV) tendency budget from different physical processes, highlighting that the horizontal PV advection dominates the PV tendency throughout most of the simulation time due to the offset of vertical PV advection and differential diabatic heating. In addition, this study applies the extended Sawyer–Eliassen (SE) equation to compare the transverse circulations of the typhoon induced by various forcing sources. The SE solution indicates that radial inflow was largely driven in the lower-tropospheric vortex by strong diabatic heating, while being significantly enhanced in the lower boundary layer due to turbulent friction. All other physical forcing terms were relatively insignificant for the induced transverse circulation. The coordinated radial inflow at low levels may have led to the eyewall development in unbalanced dynamics. Intense diabatic heating thus was vital to the severe RI of Doksuri under a weak vertical wind shear.
Roller Position Design in the Roll Bending Process of a Non-Uniform Curvature Profile
Authors: Zheng Zijun , Shao Jiaru , Zhang Ziying , Li Chu
Published: September 2024

By anchoring the lower rollers and dynamically adjusting the upper roller’s downfeed of a pyramid roll bender, one can achieve the precise bending of a workpiece into a desired planar form characterized by variable curvature. To ensure the seamless processing of individual cross sections without impinging upon adjacent areas, critical roller spacings are identified through theoretical mechanics analyses. The reaction force exerted on the top roller is calculated by integrating the desired curvature into the elastoplastic constitutive equation and subsequently deriving a dynamic adjustment of the downfeed from quasi-static finite element simulations. This preliminary downfeed protocol undergoes refinement to mitigate discrepancies between the targeted and the actual curvatures. Numerical instances demonstrate that the application of roller configurations, as outlined herein, yields a product profile that closely mirrors the intended curve. This congruence can be further improved with an additional iteration; however, subsequent iterations are seen to yield negligible improvements, indicating a rapid convergence of this algorithm.
An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning
Authors: Balderas Luis , Lastra Miguel , Benítez José M.
Published: September 2024

Time series forecasting is undoubtedly a key area in machine learning due to the numerous fields where it is crucial to estimate future data points of sequences based on a set of previously observed values. Deep learning has been successfully applied to this area. On the other hand, growing concerns about the steady increase in the amount of resources required by deep learning-based tools have made Green AI gain traction as a move towards making machine learning more sustainable. In this paper, we present a deep learning-based time series forecasting methodology called GreeNNTSF, which aims to reduce the size of the resulting model, thereby diminishing the associated computational and energetic costs without giving up adequate forecasting performance. The methodology, based on the ODF2NNA algorithm, produces models that outperform state-of-the-art techniques not only in terms of prediction accuracy but also in terms of computational costs and memory footprint. To prove this claim, after presenting the main state-of-the-art methods that utilize deep learning for time series forecasting and introducing our methodology we test GreeNNTSF on a selection of real-world forecasting problems that are commonly used as benchmarks, such as SARS-CoV-2 and PhysioNet (medicine), Brazilian Weather (climate), WTI and Electricity (economics), and Traffic (smart cities). The results of each experiment conducted objectively demonstrate, rigorously following the experimentation presented in the original papers that addressed these problems, that our method is more competitive than other state-of-the-art approaches, producing more accurate and efficient models.
Optimizing Fall Risk Diagnosis in Older Adults Using a Bayesian Classifier and Simulated Annealing
Authors: Hernandez-Laredo Enrique , Estévez-Pedraza Ángel Gabriel , Santiago-Fuentes Laura Mercedes , Parra-Rodríguez Lorena
Published: September 2024

The aim of this study was to improve the diagnostic ability of fall risk classifiers using a Bayesian approach and the Simulated Annealing (SA) algorithm. A total of 47 features from 181 records (40 Center of Pressure (CoP) indices and 7 patient descriptive variables) were analyzed. The wrapper method of feature selection using the SA algorithm was applied to optimize the cost function based on the difference of the mean minus the standard deviation of the Area Under the Curve (AUC) of the fall risk classifiers across multiple dimensions. A stratified 60–20–20% hold-out method was used for train, test, and validation sets, respectively. The results showed that although the highest performance was observed with 31 features (0.815 ± 0.110), lower variability and higher explainability were achieved with only 15 features (0.780 ± 0.055). These findings suggest that the SA algorithm is a valuable tool for feature selection for acceptable fall risk diagnosis. This method offers an alternative or complementary resource in situations where clinical tools are difficult to apply.
Characterization of Critical Quality Attributes of an Anti-PCSK9 Monoclonal Antibody
Authors: Cruz Thayana A. , Larson Nicholas R. , Wei Yangjie , Subelzu Natalia , Wu Yaqi , Schöneich Christian , Castilho Leda R. , Middaugh Charles Russell
Published: September 2024

During early development of biopharmaceuticals, suboptimal producing clones and production conditions can result in limited quantities of high-purity products. Here we describe a systematic approach, which requires minimal amounts of protein (~10 mg) to assess critical quality attributes of a monoclonal antibody (mAb). A commercial anti-PCSK9 IgG2 (evolocumab, Repatha®) and an early-stage biosimilar candidate were compared head-to-head using a range of high-throughput physicochemical and in-vitro binding analytical methods. Overall, both mAbs were shown to be highly pure and primarily monomeric, to share an identical primary structure, and to have similar higher-order structural integrity, apparent solubility, aggregation propensity, and physical stability profiles under temperature and pH stress conditions. Low levels of dimers were detected for the innovator (1.2%) and the biosimilar candidate mAb (0.3%), which also presented fragments (1.2%). Regarding charge heterogeneity, the amount of the main charge isoform was 53.6% for the innovator and 61.6% for the biosimilar candidate mAb. Acidic species were 38% for the innovator and 30% for the biosimilar candidate. Variations in the relative content of a few N-glycan species were found. The in-vitro binding affinity to PCSK9 was monitored, and no differences were detected. The mathematical approach called “error spectral difference” (ESD), proposed herein, enabled a quantitative comparison of the biophysical datasets. The workflow used in the present work to characterize CQAs at early stages is helpful in supporting the development of biosimilar mAb candidates.
Developing a Microsatellite Polymerase Chain Reaction System for Small Yellow Croaker (Larimichthys polyactis) and Its Application in Parentage Assignment
Authors: Noh Eun-Soo , Shin Eun-Ha , Kong Hee-Jeong , Kim Young-Ok , Ryu Yong-Woon
Published: September 2024

(1) Background: The small yellow croaker, an economically important fish in East Asia, has been subjected to population declines due to overfishing and environmental pressures. The development of effective breeding programs is considered crucial for the species, and accurate parentage assignment is deemed essential for such programs. (2) Methods: The assembled reference genome of the small yellow croaker was utilized to select highly polymorphic microsatellite markers. A multiplex PCR system was optimized for the simultaneous amplification of these markers. The system’s accuracy was validated using controlled mating pairs and subsequently applied to a group mating scenario. (3) Results: The developed multiplex PCR system demonstrated high accuracy in assigning offspring to their parents in both the controlled and group mating scenarios. (4) Conclusions: The system is presented as a valuable tool for pedigree management, selective breeding, and conservation efforts for the small yellow croaker, facilitating sustainable aquaculture practices and genetic improvement.
BV2 Microglial Cell Activation/Polarization Is Influenced by Extracellular Vesicles Released from Mutated SOD1 NSC-34 Motoneuron-like Cells
Authors: Carata Elisabetta , Muci Marco , Mariano Stefania , Panzarini Elisa
Published: September 2024

Microglia-mediated neuroinflammation is a key player in the pathogenesis of amyotrophic lateral sclerosis (ALS) as it can contribute to the progressive degeneration of motor neurons (MNs). Here, we investigated the role of mSOD1 NSC-34 MN-like cell-derived extracellular vesicles (EVs) in inducing the activation of BV2 microglial cells. NSC-34-released EVs were isolated by culture medium differential ultracentrifugation to obtain two fractions, one containing small EVs (diameter < 200 nm) and the other containing large EVs (diameter > 200 nm). BV2 cells were incubated with the two EV fractions for 12, 24, and 48 h to evaluate 1) the state of microglial inflammation through RT-PCR of IL-1β, IL-6, IL-4, and IL-10 and 2) the expression of proteins involved in inflammasome activation (IL-β and caspase 1), cell death (caspase 3), and glial cell recruitment (CXCR1), and presence of the TGFβ cytokine receptor (TGFβ-R2). The obtained results suggest a mSOD1 type-dependent polarization of BV2 cells towards an early neurotoxic phenotype and a late neuroprotective status, with an appearance of mixed M1 and M2 microglia subpopulations. A significant role in driving microglial cell activation is played by the TGFβ/CX3CR1 axis. Therefore, targeting the dysregulated microglial response and modulating neuroinflammation could hold promise as a therapeutic strategy for ALS.
The Role of Inflammation in the Pathogenesis of Cardiogenic Shock Secondary to Acute Myocardial Infarction: A Narrative Review
Authors: Kologrivova Irina , Kercheva Maria , Panteleev Oleg , Ryabov Vyacheslav
Published: September 2024

Cardiogenic shock (CS) is one of the most serious complications of myocardial infarction (MI) with a high mortality rate. The timely and effective prevention and early suppression of this adverse event may influence the prognosis and outcome in patients with MI complicated by CS (MI CS). Despite the use of existing pharmaco-invasive options for maintaining an optimal pumping function of the heart in patients with MI CS, its mortality remains high, prompting the search for new approaches to pathogenetic therapy. This review considers the role of the systemic inflammatory response in the pathogenesis of MI CS. The primary processes involved in its initiation are described, including the progression from the onset of MI to the generalization of the inflammatory response and the development of multiple organ dysfunction. The approaches to anti-inflammatory therapy in patients with CS are discussed, and further promising research directions are outlined. In this review, we updated and summarized information on the inflammatory component of MI CS pathogenesis with a particular focus on its foundational aspects. This will facilitate the identification of specific inflammatory phenotypes and endotypes in MI CS and the development of targeted therapeutic strategies for this MI complication.
In Vitro Evaluation of Antipseudomonal Activity and Safety Profile of Peptidomimetic Furin Inhibitors
Authors: Maluck Sara , Bobrovsky Rivka , Poór Miklós , Lange Roman W. , Steinmetzer Torsten , Jerzsele Ákos , Adorján András , Bajusz Dávid , Rácz Anita , Pászti-Gere Erzsébet
Published: September 2024

Inhibitors of the serine protease furin have been widely studied as antimicrobial agents due to their ability to block the cleavage and activation of certain viral surface proteins and bacterial toxins. In this study, the antipseudomonal effects and safety profiles of the furin inhibitors MI-1851 and MI-2415 were assessed. Fluorescence quenching studies suggested no relevant binding of the compounds to human serum albumin and α1-acid glycoprotein. Both inhibitors demonstrated significant antipseudomonal activity in Madin–Darby canine kidney cells, especially compound MI-1851 at very low concentrations (0.5 µM). Using non-tumorigenic porcine IPEC-J2 cells, neither of the two furin inhibitors induced cytotoxicity (CCK-8 assay) or altered significantly the intracellular (Amplex Red assay) or extracellular (DCFH-DA assay) redox status even at a concentration of 100 µM. The same assays with MI-2415 conducted on primary human hepatocytes also resulted in no changes in cell viability and oxidative stress at up to 100 µM. Microsomal and hepatocyte-based CYP3A4 activity assays showed that both inhibitors exhibited a concentration-dependent inhibition of the isoenzyme at high concentrations. In conclusion, this study indicates a good safety profile of the furin inhibitors MI-1851 and MI-2415, suggesting their applicability as antimicrobials for further in vivo investigations, despite some inhibitory effects on CYP3A4.
Predictive and Prognostic Role of Systemic Immune-Inflammation Index (SII) in Metastatic Colorectal Cancer Patients Treated with Trifluridine/Tipiracil
Authors: Malik Mateusz , Radecka Barbara , Gełej Marek , Jackowska Aleksandra , Filipczyk-Cisarż Emilia , Żurowska Michalina , Hetman Katarzyna , Foszczyńska-Kłoda Małgorzata , Kania-Zembaczyńska Beata , Mańka Danuta , Orlikowska Marlena , Bodnar Lubomir
Published: September 2024

In advanced-stage colorectal cancer (CRC), a strategy based on a sequence of systemic therapies brings survival benefits in most patients. Trifluridine and tipiracil hydrochloride (TT) is a chemotherapy drug effective in patients in the third- or later line setting. No highly specific biomarkers have been established for TT therapy so far. However, a systemic immune-inflammation index (SII), which is based on platelet, neutrophil and lymphocyte counts is applied to predict prognosis. In this retrospective, multicenter study, clinical data on 179 metastatic CRC patients treated with TT were collected. To evaluate factors predicting TT therapy response and overall survival, univariate logistic regression analysis was conducted. Subsequently, factors with p < 0.05 in univariate analysis were included in multivariate analysis. In the multivariate analysis of progression-free survival (PFS), three favorable parameters were significant: good to moderate histological differentiation (p = 0.0038), carcinoembryonic antigen (CEA) < 5 ng/L (p = 0.0316) and SII ≤ 550 (p = 0.007). Favorable prognostic factors revealed in the multivariate analysis of overall survival (OS) were: <3 prior lines of treatment (p = 0.02), good to moderate histological differentiation (p = 0.0003), CEA < 5 ng/L (p = 0.0227) and SII ≤ 550 (p = 0.0001). Our study indicated that pre-treatment SII may be clinically useful for selecting likely responder patients and assessing the prognosis for mCRC patients treated with TT.
Low-Cost, High-Efficiency Aluminum Zinc Oxide Synaptic Transistors: Blue LED Stimulation for Enhanced Neuromorphic Computing Applications
Authors: Lee Namgyu , Pujar Pavan , Hong Seongin
Published: September 2024

Neuromorphic devices are electronic devices that mimic the information processing methods of neurons and synapses, enabling them to perform multiple tasks simultaneously with low power consumption and exhibit learning ability. However, their large-scale production and efficient operation remain a challenge. Herein, we fabricated an aluminum-doped zinc oxide (AZO) synaptic transistor via solution-based spin-coating. The transistor is characterized by low production costs and high performance. It demonstrates high responsiveness under UV laser illumination. In addition, it exhibits effective synaptic behaviors under blue LED illumination, indicating high-efficiency operation. The paired-pulse facilitation (PPF) index measured from optical stimulus modulation was 179.6%, indicating strong synaptic connectivity and effective neural communication and processing. Furthermore, by modulating the blue LED light pulse frequency, an excitatory postsynaptic current gain of 4.3 was achieved, demonstrating efficient neuromorphic functionality. This study shows that AZO synaptic transistors are promising candidates for artificial synaptic devices.
Stable Jumping Control Based on Deep Reinforcement Learning for a Locust-Inspired Robot
Authors: Zhou Qijie , Li Gangyang , Tang Rui , Xu Yi , Wen Hao , Shi Qing
Published: September 2024

Biologically inspired jumping robots exhibit exceptional movement capabilities and can quickly overcome obstacles. However, the stability and accuracy of jumping movements are significantly compromised by rapid changes in posture. Here, we propose a stable jumping control algorithm for a locust-inspired jumping robot based on deep reinforcement learning. The algorithm utilizes a training framework comprising two neural network modules (actor network and critic network) to enhance training performance. The framework can control jumping by directly mapping the robot’s observations (robot position and velocity, obstacle position, target position, etc.) to its joint torques. The control policy increases randomness and exploration by introducing an entropy term to the policy function. Moreover, we designed a stage incentive mechanism to adjust the reward function dynamically, thereby improving the robot’s jumping stability and accuracy. We established a locus-inspired jumping robot platform and conducted a series of jumping experiments in simulation. The results indicate that the robot could perform smooth and non-flip jumps, with the error of the distance from the target remaining below 3%. The robot consumed 44.6% less energy to travel the same distance by jumping compared with walking. Additionally, the proposed algorithm exhibited a faster convergence rate and improved convergence effects compared with other classical algorithms.
A Comprehensive Review on Studying and Developing Guidelines to Standardize the Inspection of Properties and Production Methods for Mycelium-Bound Composites in Bio-Based Building Material Applications
Authors: Aiduang Worawoot , Jinanukul Praween , Thamjaree Wandee , Kiatsiriroat Tanongkiat , Waroonkun Tanut , Lumyong Saisamorn
Published: September 2024

Mycelium-bound composites (MBCs) represent a promising advancement in bio-based building materials, offering sustainable alternatives for engineering and construction applications. This review provides a comprehensive overview of the current research landscape, production methodologies, and standardization ideas related to MBCs. A basic search on Scopus revealed over 250 publications on MBCs between 2020 and 2024, with more than 30% focusing on engineering and materials science. Key studies have investigated the physical and mechanical properties of MBCs, optimizing parameters such as substrate type, fungal species, incubation time, and post-processing to enhance material performance. Standardizing the inspection of MBC properties is crucial for ensuring quality and reliability. Various testing standards, including those from the American Society for Testing and Materials (ASTM), the International Organization for Standardization (ISO), the Japanese Industrial Standard (JIS), European Standards (EN), Deutsches Institut für Normung (DIN), and the Thai Industrial Standards Institute (TIS), are utilized to evaluate density, water absorption, compression strength, tensile strength, insulation, and other critical properties. This review highlights the distinction between lab-scale and apply-scale testing methodologies, emphasizing the need for comprehensive evaluation protocols. Additionally, the production process of MBCs involves critical steps like substrate preparation, fungal species selection, and mycelium growth, necessitating the implementation of good manufacturing practices (GMPs) to ensure consistency and quality. The internal and external structures of MBCs significantly influence their performance, necessitating standardized inspection methods using advanced techniques such as scanning electron microscopy (SEM), X-ray computed tomography (CT) scanning, and surface profilometry. By establishing robust inspection protocols and production standards, the industry can enhance the reliability and adoption of MBCs, contributing to innovations in materials science and promoting environmental sustainability. This review underscores the importance of interdisciplinary collaboration, advanced characterization tools, and regulatory frameworks to address challenges and advance the field of MBCs.
Bionic Robot with Multifunctional Leg–Arm Mechanism for In-Orbit Assembly of Space Trusses
Authors: Shi Yuetian , Xu Qingzhang , Shi Rui , Liu Haohang , Zhang Meiyang , Hou Xuyan , Wang Weijun , Deng Zongquan
Published: September 2024

This article aims to address the in-orbit assembly needs of truss structures in space missions by designing a robot capable of moving on trusses and manipulating parts. To enhance the stability of the robot during movement and part manipulation, inspiration was drawn from the Dynastes Hercules beetle. Building upon detailed research on the Dynastes Hercules beetle, a biomimetic structure was designed for the robot system. Based on specific task requirements, the overall plan of the robot was developed, and its kinematic and dynamic models were derived. A prototype of the robot was created, which is capable of both movement and assembly functions, including handling spherical and rod-like objects. Through a series of experiments conducted with the robot, the research results demonstrated that the proposed design can effectively achieve the intended functions.