bluuebunny/crossref_metadata_2025 huggingface dataset:
Floodplain Forest Foundation Species Salix alba L. Is Resilient to Seawater Pulses during Winter
Authors: Markus-Michalczyk Heike , Smith Zairesus , Bouma Tjeerd J.
Published: August 2024

(1) Background: Willow forests are well established as nature-based solutions contributing to flood protection in the riverine environment. With climate change, storm surges in winter may increasingly expose downstream floodplain forests to seawater pulses. The effects of seawater pulses on willows are unknown, as previous studies focused on long-term exposure effects. (2) Methods: We studied the resilience of the floodplain forest foundation species Salix alba L. to seawater pulses during winter. This corresponds to the effects of storm surges in the North Sea region on floodplain willow trees in downstream river stretches during their dormant stage. Seawater pulses were applied from November to May on vegetative propagules. The plants were placed on flooding stairways at three levels in a mesocosm experiment under ambient conditions in Zealand, NL. (3) Results: Twice-applied 48 h seawater pulses during winter led to increasing salinity in the soil where vegetative propagules were placed. Ninety-five percent of the plants developed leaves, shoots, and roots, and juvenile trees were established in the following spring. Although the aboveground and belowground dry masses decreased with increasing short-term seawater flooding, they increased from April to May. (4) Conclusions: The seawater pulse caused a growth-delaying effect in the young experimental propagation plants of Salix alba. Contrary to earlier findings on the growth-inhibiting effects on S. alba under long-term salinity treatments, we show that S. alba is resilient to short-term seawater pulses experienced during the dormant (winter) stage. This is good news for the inclusion of S. alba in nature-based flood defense schemes in downstream riverine stretches.
Children’s Nonfiction, Biography, and Their Responsibilities to Children
Authors: Sanders Joe Sutliff
Published: August 2024

A debate over whether children’s nonfiction should “speculate” was launched in 2011. Understood within the context of changing demands on children’s nonfiction, it reveals a contested construction of childhood and suggests that the rules of critical engagement might be different in different genres of children’s nonfiction.
Econormative Childhoods in Wimmelbooks on the Four Seasons: Analysis of Central European Wordless Informational Picturebooks
Authors: Rybak Krzysztof
Published: August 2024

More and more informational picturebooks on environmental topics have been published in recent years, many focusing on the inevitable climate change. Conversely, there is still a tendency in contemporary picturebooks to represent the climate traditionally, irrespective of actual climate change. A particularly interesting case is the representation of the seasons, especially in books aimed at the youngest ‘readers’, such as wimmelbooks. Not only are they crucial for developing emergent and visual literacy, but they also contain normative images that constitute a prototype for the child. The ‘norms’ picturebooks present are based on the authors’ ideologies that constitute all informational picturebooks as their authors interpret facts. Hence, this article aims to analyse the visual strategies used and the ideologies expressed by wimmelbooks from Poland and Germany in representing the seasons (Marcin Strzembosz’s Jaki to miesiąc? [2002] and Ali Mitgutsch’s Mein Wimmel-Bilderbuch: Frühling, Sommer, Herbst und Winter [2007], among others). The preliminary research shows that the authors seem to propose traditional, idyllic, ecologically normative images of the environment, which I propose to call econormative (inspired by the word ‘aetonormative’), such as snowy winters, sunny summers, etc.; hence, wimmelbooks seem to assent to stereotypical depictions of the seasons associated with the notion of ideal childhoods set in econormative environments.
Study on the Preparation and PEC-Type Photodetection Performance of β-Bi2O3 Thin Films
Authors: Zhang Jiaji , Xiong Zhihua , Wang Zi , Sun Jinlong
Published: August 2024

Bismuth-based compounds have been regarded as a kind of promising material due to their narrow bandgap, high carrier mobility, low toxicity, and strong oxidation ability, showing potential applications in the field of photoelectrochemical (PEC) activities. They can be applied in sustainable energy production, seawater desalination and treatment, optical detection and communication, and other fields. As a member of the broader family of bismuth-based materials, β-Bi2O3 exhibits significant advantages for applications in engineering, including high photoelectric response, stability in harsh environments, and excellent corrosion resistance. This paper presents the synthesis of β-Bi2O3 thin films utilizing the mist chemical vapor deposition (CVD) method at the optimal temperature of 400 °C. Based on the β-Bi2O3 thin film synthesized at optimal temperature, a PEC-type photodetector was constructed with the highest responsivity R of 2.84 mA/W and detectivity D of 6.01 × 1010 Jones, respectively. The photodetection performance was investigated from various points like illumination light wavelength, power density, and long-term stability. This study would broaden the horizontal and practical applications of β-Bi2O3.
Physicochemical Properties of (La,Sr)CoO3 Thick Films on Fe-25Cr Steel under Exposure to SOFC Cathode Operating Conditions
Authors: Prażuch Janusz , Pyzalski Michał , Fernández González Daniel , Brylewski Tomasz
Published: August 2024

La0.6Sr0.4CoO3 (LSC) coatings with a thickness of 50–100 µm were deposited on Fe-25Cr ferritic stainless steel (DIN 50049) via screen printing. The required suspension had been prepared using fine LSC powders synthesised using EDTA gel processes. In its bulk form, the LSC consisted entirely of the rhombohedral phase with space group R-3c, and it exhibited high electrical conductivity (~144 S·cm−1). LSC-coated steel was oxidised in air at 1073 K, i.e., under conditions corresponding to SOFC cathode operation, for times of up to 144 h. The in situ electrical resistance of the steel/La0.6Sr0.4CoO3 layered system during oxidation was measured. The products formed on the samples after the oxidation reaction resulting from exposure to the corrosive medium were investigated using XRD, SEM-EDS, and TEM-SAD. The microstructural, nanostructural, phase, and chemical analysis of films was performed with a focus on the film/substrate interface. It was determined that the LSC coating interacts with the oxidised steel in the applied conditions, and a multi-layer interfacial zone is formed. Detailed TEM-SAD observations indicated the formation of a main layer consisting of SrCrO4, which was the reaction product of (La,Sr)CoO3, and the Cr2O3 scale formed on the metal surface. The formation of the SrCrO4 phase resulted in improved electrical conductivity of the investigated metal/ceramics layered composite material, as demonstrated by the low area-specific resistance values of 5 mΩ·cm2, thus making it potentially useful as a SOFC interconnect material operating at the tested temperature. In addition, the evaporation rate of chromium measured for the uncoated steel and the steel/La0.6Sr0.4CoO3 layered system likewise indicates that the coating is capable of acting as an effective barrier against the formation of volatile compounds of chromium.
Radial Inertia Effect of Ultra-Soft Materials from Hopkinson Bar and Solution Methodologies
Authors: Liu Yue , Wang Yongshuai , Deng Qiong
Published: August 2024

The split-Hopkinson pressure bar technique is widely used to determine the dynamic mechanical behavior of materials. However, spike-like stress features appear in the initial stress behavior of ultra-soft materials tested with a split-Hopkinson bar. These features are not intrinsic characteristics of the materials. Potential causes were investigated through experiments and numerical simulations. It was found that the spike feature represents derived stress resulting from the radial inertia effect during dynamic loading. In this work, we propose and experimentally verify effective methods to reduce this effect. The influences of density, strain acceleration, ratio between inner and outer diameter, and Poisson’s ratio on the radial inertia effect were investigated. The spike stress was found to change linearly with density and strain acceleration but decrease significantly when the inner/outer diameter ratio was below 0.3, after which it remained nearly constant. A parabolic stress distribution was observed along the radial direction due to the Poisson effect, especially when the ratio exceeded 0.3, leading to higher spike stress. Finally, suggestions were proposed as experimental guidance when testing ultra-soft materials.
Finite Element Simulation and Microstructural Analysis of Roll Forming for DP590 High-Strength Dual-Phase Steel Wheel Rims
Authors: Song Jingwen , Lan Jun , Zhu Lisong , Jiang Zhengyi , Zhang Zhiqiang , Han Jian , Ma Cheng
Published: August 2024

In this study, finite element (FE) simulation by the software Abaqus was relied on to investigate the roll forming process of a wheel rim made of an innovative dual-phase steel, i.e., DP590, after flash butt welding (FBW). In the simulation, an FE model was generated, including the design of the dies for flaring, three-roll forming, and expansion, and detailed key processing parameters based on practical production of the selected DP590. Combined with the microstructures and properties of the weld zone (WZ) and heat-affected zones (HAZs) after FBW, the distribution of stress/strain and the change in thickness of the base metal (BM), WZ and HAZs were analyzed, and compared in the important stages of roll forming. Theoretically, the variation in the microstructure and the corresponding stress–strain behaviors of the BM, WZ, and HAZs after FBW have led to the thickness reduction of DP590 that originated from softening behaviors occurring at the region of subcritical HAZs (SCHAZs), and a small amount of tempered martensite has evidently reduced the hardness and strength of the SCHAZ. Meanwhile, the distribution of stress/strain has been influenced to some extent. Further, the study includes the influence of the friction coefficient on the forming quality of the wheel rim to guarantee the simulation accuracy in practical applications. In sum, the dual-phase steel has to be carefully applied to the wheel rim, which needs to experience the processes of FBW and roll forming, focusing on the performance of SCHAZs.
Considerations for Tungsten Carbide as Tooling in RFSSW
Authors: Belnap Ruth , Smith Taylor , Wright Arnold , Hovanski Yuri
Published: August 2024

Tool wear is a key issue for the manufacturing performance of refill friction stir spot welding in high-volume manufacturing environments. As such, the aim of this study is to examine conditions in which tungsten carbide with a cobalt binder can succeed as a tool material in the spot welding of 2029 aluminum for a sustained lifetime. Critical factors are shown herein to include cleanliness and thermal management. The life of a WC-Co toolset is demonstrated to be approximately 2998 welds, which is of the same scale as conventional steel tooling. With a WC-Co shoulder and probe, the H13 clamp showed the only significant wear.
Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment
Authors: Pamuk Mustafa , Schumann Matthias
Published: August 2024

Financial institutions are increasingly turning to artificial intelligence (AI) to improve their decision-making processes and gain a competitive edge. Due to the iterative process of AI development, it is mandatory to have a structured process in place, from the design to the deployment of AI-based services in the finance industry. This process must include the required validation and coordination with regulatory authorities. An appropriate dashboard can help to shape and structure the process of model development, e.g., for credit assessment in the finance industry. In addition, the analysis of datasets must be included as an important part of the dashboard to understand the reasons for changes in model performance. Furthermore, a dashboard can undertake documentation tasks to make the process of model development traceable, explainable, and transparent, as required by regulatory authorities in the finance industry. This can offer a comprehensive solution for financial companies to optimize their models, improve regulatory compliance, and ultimately foster sustainable growth in an increasingly competitive market. In this study, we investigate the requirements and provide a prototypical dashboard to create, manage, compare, and validate AI models to be used in the credit assessment of private customers.
Stochastic Multi-Objective Multi-Trip AMR Routing Problem with Time Windows
Authors: Cheng Lulu , Zhao Ning , Wu Kan
Published: August 2024

In recent years, with the rapidly aging population, alleviating the pressure on medical staff has become a critical issue. To improve the work efficiency of medical staff and reduce the risk of infection, we consider the multi-trip autonomous mobile robot (AMR) routing problem in a stochastic environment. Our goal is to minimize the total expected operating cost and maximize the total service quality for patients, ensuring that each route violates the vehicle capacity and the time window with only a minimal probability. The travel time of AMRs is stochastically affected by the surrounding environment; the demand for each ward is unknown until the AMR reaches the ward, and the service time is linearly related to the actual demand. We developed a population-based tabu search algorithm (PTS) that combines the genetic algorithm with the tabu search algorithm to solve this problem. Extensive numerical experiments were conducted on the modified Solomon instances to demonstrate the efficiency of the PTS algorithm and reveal the impacts of the confidence level on the optimal solution, providing insights for decision-makers to devise delivery schemes that balance operating costs with patient satisfaction.
A Time-Series Feature-Extraction Methodology Based on Multiscale Overlapping Windows, Adaptive KDE, and Continuous Entropic and Information Functionals
Authors: Squicciarini Antonio , Valero Toranzo Elio , Zarzo Alejandro
Published: August 2024

We propose a new methodology to transform a time series into an ordered sequence of any entropic and information functionals, providing a novel tool for data analysis. To achieve this, a new algorithm has been designed to optimize the Probability Density Function (PDF) associated with a time signal in the context of non-parametric Kernel Density Estimation (KDE). We illustrate the applicability of this method for anomaly detection in time signals. Specifically, our approach combines a non-parametric kernel density estimator with overlapping windows of various scales. Regarding the parameters involved in the KDE, it is well-known that bandwidth tuning is crucial for the kernel density estimator. To optimize it for time-series data, we introduce an adaptive solution based on Jensen–Shannon divergence, which adjusts the bandwidth for each window length to balance overfitting and underfitting. This solution selects unique bandwidth parameters for each window scale. Furthermore, it is implemented offline, eliminating the need for online optimization for each time-series window. To validate our methodology, we designed a synthetic experiment using a non-stationary signal generated by the composition of two stationary signals and a modulation function that controls the transitions between a normal and an abnormal state, allowing for the arbitrary design of various anomaly transitions. Additionally, we tested the methodology on real scalp-EEG data to detect epileptic crises. The results show our approach effectively detects and characterizes anomaly transitions. The use of overlapping windows at various scales significantly enhances detection ability, allowing for the simultaneous analysis of phenomena at different scales.
Linear and Non-Linear Regression Methods for the Prediction of Lower Facial Measurements from Upper Facial Measurements
Authors: Terblanche Jacques , Merwe Johan van der , Laubscher Ryno
Published: August 2024

Accurate assessment and prediction of mandible shape are fundamental prerequisites for successful orthognathic surgery. Previous studies have predominantly used linear models to predict lower facial structures from facial landmarks or measurements; the prediction errors for this did not meet clinical tolerances. This paper compared non-linear models, namely a Multilayer Perceptron (MLP), a Mixture Density Network (MDN), and a Random Forest (RF) model, with a Linear Regression (LR) model in an attempt to improve prediction accuracy. The models were fitted to a dataset of measurements from 155 subjects. The test-set mean absolute errors (MAEs) for distance-based target features for the MLP, MDN, RF, and LR models were respectively 2.77 mm, 2.79 mm, 2.95 mm, and 2.91 mm. Similarly, the MAEs for angle-based features were 3.09°, 3.11°, 3.07°, and 3.12° for each model, respectively. All models had comparable performance, with neural network-based methods having marginally fewer errors outside of clinical specifications. Therefore, while non-linear methods have the potential to outperform linear models in the prediction of lower facial measurements from upper facial measurements, current results suggest that further refinement is necessary prior to clinical use.
Ultrasound Features in Gout: An Overview
Authors: Pârvănescu Cristina Dorina , Bărbulescu Andreea Lili , Biță Cristina Elena , Dinescu Ștefan Cristian , Trașcǎ Beatrice Andreea , Firulescu Sineta Cristina , Vreju Florentin Ananu
Published: August 2024

The accurate diagnosis of gout frequently constitutes a challenge in clinical practice, as it bears a close resemblance to other rheumatologic conditions. An undelayed diagnosis and an early therapeutic intervention using uric acid lowering therapy (ULT) is of the utmost importance for preventing bone destruction, the main point of managing gout patients. Advanced and less invasive imaging techniques are employed to diagnose the pathology and ultrasonography (US) stands out as a non-invasive, widely accessible and easily reproducible method with high patient acceptability, enabling the evaluation of the full clinical spectrum in gout. The 2023 EULAR recommendations for imaging in diagnosis and management of crystal-induced arthropathies in clinical practice state that US is a fundamental imagistic modality. The guidelines underline its effectiveness in detecting crystal deposition, particularly for identifying tophi and the double contour sign (DCS). Its utility also arises in the early stages, consequent to synovitis detection. US measures of monosodium urate (MSU) deposits are valuable indicators, sensitive to change consequent to even short-term administration of ULT treatment, and can be feasibly used both in current daily practice and clinical trials. This paper aimed to provide an overview of the main US features observed in gout patients with reference to standardized imaging guidelines, as well as the clinical applicability both for diagnosis accuracy and treatment follow-up. Our research focused on summarizing the current knowledge on the topic, highlighting key data that emphasize gout as one of the few rheumatological conditions where US is recognized as a fundamental diagnostic and monitoring tool, as reflected in the most recent classification criteria.
Examining the Effects on a Fatigue Life of Preloaded Bolts in Flange Joints: An Overview
Authors: Okorn Ivan , Nagode Marko , Klemenc Jernej , Oman Simon
Published: August 2024

The amplitude of a bolt load in dynamically loaded bolted flange joints depends on several factors: the resilience of the bolt and the clamping parts, the magnitude of the working load, the point of action of the working load, the way the working load is transferred from the structure to the bolt, the preload, and the geometrical imperfections of the contact surfaces of the joint. These factors are analysed in many papers, and they are covered in the VDI 2230 guideline and in standards. Fatigue curves (S-N curves) of bolts are determined by tests in which an ideal axial load is usually applied to the bolts. The effects of the bolt strength class, the thread manufacturing process, the surface protection, and the cross-section size on the fatigue strength of bolts are precisely defined. The main problem in the evaluation of bolted joints is the calculation of the actual stress, which is compared with the fatigue curves. Despite extensive research, fatigue-related bolt failures still occur in practise. This article provides a systematic overview of the influences that affect the fatigue of bolts. The conclusions are based on the research results of many authors and on our own analytical, numerical, and experimental investigations. The effects are illustrated using two practical examples of flange bolting. The assessment of fatigue according to Eurocode 3 and the VDI 2230 guideline is discussed in more detail.
An Advanced Synchronized Time Digital Grid Twin Testbed for Relay Misoperation Analysis of Electrical Fault Type Detection Algorithms
Authors: Piesciorovsky Emilio C. , Reno Mathew J. , Ferrari Maglia Maximiliano , Summers Adam K.
Published: August 2024

Distributed energy resources and the number of relays are expected to rise in modern electrical grids; consequently, relay misoperations are also expected to grow. Relays can detect electrical fault types using an internal algorithm and can display the result using light indicators on the front of the relay. However, some relays’ internal algorithms for predicting types of electrical faults could be improved. This study assesses a relay’s external and internal algorithms with an Advanced Synchronized Time Digital Grid Twin (ASTDGT) testbed with paired relays. A misoperation relay analysis focused on measuring the accuracy of using the boundary admittance (the external algorithm) versus the set-default (the internal algorithm) relay method to determine the electrical fault types was performed. In this study, the internal and external relay algorithms were assessed with a synchronized time digital grid twin testbed using a real-time simulator. This testbed evaluated two sets of logic at the same time with the digital grid twin and paired relays in the loop. Different types of electrical faults were simulated, and the relays’ recorded events and electrical fault light indicator states were collected from the human–machine interfaces. This ASTDGT testbed with paired relays successfully evaluated the relay algorithm misoperations. The boundary admittance method had an accuracy of 100% for line-to-line, line-to-ground, and line-to-line ground faults.
Thermal Analysis of THz Schottky Diode Chips with Single and Double-Row Anode Arrangement
Authors: Liu Zenghui , Zhang Xiaobo , Liang Zhiwen , Wang Fengge , Xu Yanyan , Yang Xien , Li Xin , Liang Yisheng , Lin Lizhang , Li Xiaodong , Zhao Wenbo , Cao Xin , Wang Xinqiang , Zhang Baijun
Published: August 2024

GaN Schottky diodes show great potential in high-power terahertz frequency multipliers. The thermal characteristics of GaN Schottky diodes with single and double-row anode arrangements are described in this paper. The temperature distribution inside the Schottky diode is discussed in detail under the coupling condition of Joule heat and solid heat transfer. The effects of different substrates and substrate geometric parameters on the thermal characteristics of the Schottky diode chips with single and double-row anode arrangements are systematically analyzed. Compared with that of the chip with single-row anode arrangement, the maximum temperature of the chip with double-row anode arrangement can be reduced by 40 K at the same conditions. For chips with different substrates, chips with diamond substrates can withstand greater power dissipation when reaching the same temperature. The simulation results are instructive for the design and optimization of Schottky diodes in the terahertz field.
Influence of Mutations on Physicochemical Properties of Spike Proteins from Prototypical SARS-CoV-2 Variants of Concern Detected in Amazonian Countries
Authors: Silva Adriana Conceição B. , Carvalho Carlos Alberto M.
Published: August 2024

Since the emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the viral spike protein (S) has become a target to describe appropriate epitopes for vaccine development and to carry out epidemiological surveillance, especially regarding the variants of concern (VOCs). This study aimed to evaluate the influence of mutations on physicochemical properties of S proteins from prototypical SARS-CoV-2 VOCs detected in Amazonian countries. Using multiple computational tools, seven VOCs (B.1.1.7/P.1/B.1.617.2/BA.1/BA.2/BA.4/BA.5) were identified and compared to the ancestral lineage of the virus (B). In all variants, most amino acids were nonpolar; among the polar amino acids, B.1.617.2/BA.1/BA.2/BA.4/BA.5 presented a slightly higher proportion of basic residues and a lower proportion of neutral residues. Unlike B.1.1.7/P.1/B.1.617.2, BA.1/BA.2 had a greater content of secondary structures, such as α-helices and β-sheets. Regarding post-translational modifications, BA.2/BA.4/BA.5 presented fewer glycosylations and phosphorylations. Finally, a more prominent antigenic propensity in the N-terminal domain of BA.2/BA.4/BA.5 and in the receptor-binding domain of B.1.617.2/BA.4/BA.5 was observed. In conclusion, the omicron variants of SARS-CoV-2 presented greater sequence variability in S proteins compared to the other VOCs, influencing structural aspects that can potentially modulate its interaction with cellular receptors and recognition by the immune system.
Exploring Gut Microbiota in Red Palm Weevil (Rhynchophorus ferrugineus): Effects on Pest Management, Pesticide Resistance, and Thermal Stress Tolerance
Authors: Elkraly Omnia Abdullah , Elrahman Tahany Abd , Awad Mona , El-Saadany Hassan Mohamed , Atia Mohamed A. M. , Dosoky Noura S. , Ibrahim El-Desoky S. , Elnagdy Sherif M.
Published: August 2024

The red palm weevil (RPW), Rhynchophorus ferrugineus, poses a significant threat to date palms globally, heavily relying on symbiotic microbes for various physiological and behavioral functions. This comprehensive study delves into the intricate dynamics of RPW gut microbiota, revealing a diverse microbial community consisting of seven genera and eight species from Proteobacteria, Firmicutes, and Actinobacteria. The stability of gut bacteria across different life stages was observed, with notable impacts on larval metabolism attributed to shifts in bacterial composition. Bacillus subtilis emerged as a key player, producing a spectrum of metabolic enzymes. Furthermore, the gut bacteria exhibited remarkable pesticide degradation capabilities, suggesting a potential role in the host’s resistance to pesticides. The Arthrobacter sp. was identified as a promising candidate for eco-friendly pest biocontrol and biodegradation strategies. Investigating the influence of thermal stress on two groups of RPW larvae (conventional-fed and antibiotic-fed) at varying temperatures (15, 27, and 35 °C) unveiled potential survival implications. This study highlights the pivotal role of bacterial symbionts in enabling larvae adaptation and thermal stress tolerance. In essence, this research contributes crucial insights into the diversity and functions of RPW gut bacteria, emphasizing their prospective applications in pest control strategies.
Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach
Authors: Kolev Mihail
Published: August 2024

A machine learning-based approach is presented for predicting the mechanical properties of Cu-Ti alloys utilizing a dataset of various features, including compositional elements and processing parameters. The features encompass chemical composition elements such as Cu, Al, Ce, Cr, Fe, Mg, Ti, and Zr, as well as various thermo-mechanical processing parameters. This dataset, comprising more than 1000 data points, was selected from a larger collection of various Cu-based alloys. The dataset was divided into training, validation, and test sets, with a Random Forest Regressor model being trained and optimized using GridSearchCV. The model’s performance was evaluated based on the R2 score. The results demonstrate high predictive accuracy, with R2 scores of 0.9929, 0.9851, and 0.9937 for the training, validation, and testing sets, respectively. The Random Forest model was compared with other machine learning models and showed better results in terms of predictive accuracy. A feature importance analysis of the mechanical characteristics was conducted, further clarifying the influence of each feature. The correlation heatmap further elucidates the relationships among the features, offering insights into the effects of alloy composition and processing on mechanical properties. This study underscores the potential of machine learning in advancing the development and optimization of Cu-Ti alloys, providing a valuable tool for materials scientists and engineers.
Chirality Sensing of Amino Acid Esters by S-2-Methylbutanamido-Substituted m-Phthalic Diamide-Linked Zinc Bisporphyrinate
Authors: Li Zhipeng , Zhao Yue , Wang Yong , Zhang Wen-Hua , Hu Chuanjiang
Published: August 2024

To understand the role of an additional coordination site in the linker in chirality sensing, we designed and synthesized an S-2-methylbutanamido-substituted m-phthalic diamide-linked zinc bisporphyrinate, [Zn2(S-MAABis)] and investigated its ability to sense the chirality of amino acid esters. The 1H NMR spectra and the crystal structure showed that the amido oxygen adjacent to the chiral carbon was coordinated with zinc. NMR and UV–vis titration showed that the binding of [Zn2(S-MAABis)] to amino acid esters occurred via two equilibria, forming 1:1 and 1:2 host–guest complexes. The CD spectra suggested that [Zn2(S-MAABis)] can effectively recognize the absolute configuration of amino acid esters. The sign of the CD spectra remained unchanged during the titration, indicating that the corresponding 1:1 and 1:2 host–guest complexes had the same chirality. This is different from previously studied amino-substituted m-phthalic diamide-linked zinc bisporphyrinate [Zn2(AmBis)], which showed chirality inversion during titration. Theoretical calculations indicated that the additional coordination sites (amido or amino) in the 1:1 host–guest complexes played different roles, leading to differences in chirality. Our studies suggest that the introduction of a coordination site can influence the chirality transfer process, but the results of chirality transfers are dependent on the specific binding modes.
Antioxidant Properties of Green Plants with Different Vitamin K Contents
Authors: Bryshten Iryna , Paprotny Łukasz , Olszowy-Tomczyk Małgorzata , Wianowska Dorota
Published: August 2024

Vitamin K, as a natural protector of our blood, bones, kidneys, and brain, is essential for human health. It is also considered an effective anti-aging agent with comprehensive biological effects, including antifungal, antibacterial, anti-inflammatory, analgesic, and even antioxidant properties. Of these, the least is known about the antioxidant properties of natural vitamin K. To fill this gap, this study compared the antioxidant properties of extracts obtained from commonly consumed green plants with different vitamin K contents with the activity of vitamin K standard solutions at concentrations corresponding to the vitamin K contents in the extracts. Various measurement methods were used in the research (i.e., DPPH, FRAP, CUPRAC, and the β-carotene bleaching test). Among the tested methods, the β-carotene bleaching test is the most sensitive in the assessment of this unusual compound. In light of the data presented, the antioxidant response of vitamin K alone is dose-dependent. However, in extracts, the activity of this compound is modulated by other constituents present in them. As a result, the activity does not always correlate with vitamin K content. The presented data supplement the knowledge about the antioxidant properties with the contribution resulting from the presence of vitamin K in green plant extracts.
Nanogels: Recent Advances in Synthesis and Biomedical Applications
Authors: Mastella Pasquale , Todaro Biagio , Luin Stefano
Published: August 2024

In the context of advanced nanomaterials research, nanogels (NGs) have recently gained broad attention for their versatility and promising biomedical applications. To date, a significant number of NGs have been developed to meet the growing demands in various fields of biomedical research. Summarizing preparation methods, physicochemical and biological properties, and recent applications of NGs may be useful to help explore new directions for their development. This article presents a comprehensive overview of the latest NG synthesis methodologies, highlighting advances in formulation with different types of hydrophilic or amphiphilic polymers. It also underlines recent biomedical applications of NGs in drug delivery and imaging, with a short section dedicated to biosafety considerations of these innovative nanomaterials. In conclusion, this article summarizes recent innovations in NG synthesis and their numerous applications, highlighting their considerable potential in the biomedical field.
Was Kierkegaard a Universalist?
Authors: Piety M. G.
Published: August 2024

Christian universalism, or the theory of universal salvation, is increasingly popular among religious thinkers. A small group of scholars has put forward the contentious claim that Kierkegaard was a universalist, despite that he refers in places to the idea of eternal damnation as essential to Christianity. This paper examines the evidence both for and against the view that Kierkegaard was a universalist and concludes that despite Kierkegaard’s occasional references to the importance of the idea of eternal damnation to Christianity, there is reason to believe that Kierkegaard may have been a universalist, both in terms of the substance of his thought, including two unequivocal statements in his journals that he believed everyone would eventually be saved and in terms of his rhetorical style which prioritizes the effect his writings would have on the reader over the literal truth of the views they present.
Agent Mental Models and Bayesian Rules as a Tool to Create Opinion Dynamics Models
Authors: Martins André C. R.
Published: August 2024

Traditional models of opinion dynamics provide a simplified approach to understanding human behavior in basic social scenarios. However, when it comes to issues such as polarization and extremism, a more nuanced understanding of human biases and cognitive tendencies are required. This paper proposes an approach to modeling opinion dynamics by integrating mental models and assumptions of individuals agents using Bayesian-inspired methods. By exploring the relationship between human rationality and Bayesian theory, this paper demonstrates the usefulness of these methods in describing how opinions evolve. The analysis here builds upon the basic idea in the Continuous Opinions and Discrete Actions (CODA) model, by applying Bayesian-inspired rules to account for key human behaviors such as confirmation bias, motivated reasoning, and human reluctance to change opinions. Through this, This paper updates rules that are compatible with known human biases. The current work sheds light on the role of human biases in shaping opinion dynamics. I hope that by making the model more realistic this might lead to more accurate predictions of real-world scenarios.
Variability in Maize Seed Bacterization and Survival Correlating with Root Colonization by Pseudomonas Isolates with Plant-Probiotic Traits
Authors: Lorch Melani G. , Valverde Claudio , Agaras Betina C.
Published: August 2024

Seed treatment with plant growth-promoting bacteria represents the primary strategy to incorporate them into agricultural ecosystems, particularly for crops under extensive management, such as maize. In this study, we evaluated the seed bacterization levels, root colonization patterns, and root competitiveness of a collection of autochthonous Pseudomonas isolates that have demonstrated several plant-probiotic abilities in vitro. Our findings indicate that the seed bacterization level, both with and without the addition of various protectants, is specific to each Pseudomonas strain, including their response to seed pre-hydration. Bacterization kinetics revealed that while certain isolates persisted on seed surfaces for up to 4 days post-inoculation (dpi), others experienced a rapid decline in viability after 1 or 2 dpi. The observed differences in seed bacterization levels were consistent with the root colonization densities observed through confocal microscopy analysis, and with root competitiveness quantified via selective plate counts. Notably, isolates P. protegens RBAN4 and P. chlororaphis subsp. aurantiaca SMMP3 demonstrated effective competition with the natural microflora for colonizing the maize rhizosphere and both promoted shoot and root biomass production in maize assessed at the V3 grown stage. Conversely, P. donghuensis SVBP6 was detected at very low levels in the maize rhizosphere, but still exhibited a positive effect on plant parameters, suggesting a growth-stimulatory effect during the early stages of plant development. In conclusion, there is a considerable strain-specific variability in the maize seed bacterization and survival capacities of Pseudomonas isolates with plant-probiotic traits, with a correlation in their root competitiveness under natural conditions. This variability must be understood to optimize their adoption as inputs for the agricultural system. Our experimental approach emphasizes the critical importance of tailoring seed bacterization treatments for each inoculant candidate, including the selection and incorporation of protective substances. It should not be assumed that all bacterial cells exhibit a similar performance.
QTL Mapping of Yield, Agronomic, and Nitrogen-Related Traits in Barley (Hordeum vulgare L.) under Low Nitrogen and Normal Nitrogen Treatments
Authors: Chen Bingjie , Hou Yao , Huo Yuanfeng , Zeng Zhaoyong , Hu Deyi , Mao Xingwu , Zhong Chengyou , Xu Yinggang , Tang Xiaoyan , Gao Xuesong , Ma Jian , Chen Guangdeng
Published: August 2024

Improving low nitrogen (LN) tolerance in barley (Hordeum vulgare L.) increases global barley yield and quality. In this study, a recombinant inbred line (RIL) population crossed between “Baudin × CN4079” was used to conduct field experiments on twenty traits of barley yield, agronomy, and nitrogen(N)-related traits under LN and normal nitrogen (NN) treatments for two years. This study identified seventeen QTL, comprising eight QTL expressed under both LN and NN treatments, eight LN-specific QTL, and one NN-specific QTL. The localized C2 cluster contained QTL controlling yield, agronomic, and N-related traits. Of the four novel QTL, the expression of the N-related QTL Qstna.sau-5H and Qnhi.sau-5H was unaffected by N treatment. Qtgw.sau-2H for thousand-grain weight, Qph.sau-3H for plant height, Qsl.sau-7H for spike length, and Qal.sau-7H for awn length were identified to be the four stable expression QTL. Correlation studies revealed a significant negative correlation between grain N content and harvest index (p < 0.01). These results are essential for barley marker-assisted selection (MAS) breeding.
Enhancing Gelatine Hydrogel Robustness with Sacran-Aldehyde: A Natural Cross-Linker Approach
Authors: Singh Maninder , Debas Alisha , Joshi Gargi , Okajima Maiko Kaneko , Rajan Robin , Matsumura Kazuaki , Kaneko Tatsuo
Published: August 2024

Tunable hydrogels have gained significant attention in the bioengineering field due to their designer preparation approach. Towards this end, gelatine stands out as a promising candidate owing to its desirable attributes, such as biocompatibility, ability to support cell adhesion and proliferation, biodegradability, and cost-effectiveness. This study presents the preparation of a robust gelatine hydrogel employing sacran aldehyde (SDA) as a natural cross-linker. The resulting SDA-cross-linked gelatine hydrogels (GSDA) display an optimal compressive stress of 0.15 MPa at 50% strain, five times higher than pure gelatine hydrogel. As SDA cross-linking concentration is increased, the swelling capacity of GSDA declines. This decline in swelling capacity, from 80% to 40%, is a result of strong crosslinking of gelatin with SDA. Probing further with FT-IR spectroscopy and SEM at the micron scale unveiled a dual-cross-linking mechanism within the hydrogels. This mechanism encompasses both short- and long-range covalent cross-linking, along with thermo-induced physical cross-linking, resulting in a significant enhancement of the load-bearing capacity of the fabricated hydrogels.
Nutritional and Structural Evaluation of Gluten-Free Flour Mixtures Incorporating Various Oilseed Cakes
Authors: Mashanova Nurbibi , Satayeva Zhuldyz , Smagulova Mirgul , Kundyzbayeva Nazigul , Karimova Gulmaida
Published: August 2024

This study focuses on the potential of addition of flaxseed, soybean, sunflower, peanut, and pumpkin cakes in gluten-free flour formulations, using rice flour, corn flour, and corn starch. The aim of the article is to investigate the impact of oil cake flour incorporation on the structure and mineral composition of gluten-free mixtures. The control sample (without cake flour) and four experimental samples were prepared. To obtain a gluten-free mixture, the ingredients were dosed and mixed in dry form, namely 50% finely ground white rice, 30% corn starch, 10% corn flour, and 10% oil cake flour. The investigation reveals distinct nutritional profiles, with significant variations in protein, fat, carbohydrate, and calorie content among the different types of cakes. Amino acid composition analysis showcased variations among oil cakes, emphasizing their potential as diverse protein sources. Fatty acid composition revealed caproic acid as the predominant fatty acid. Peanut cake displayed the highest omega-3 content (0.21%), emphasizing its potential health benefits. Pumpkin cake stood out with the highest magnesium (472.63 mg/100 g) and phosphorus (893.69 mg/100 g) content. Flaxseed cake led in calcium (225.92 mg/100 g), while soybean cake excelled in potassium (2549.0 mg/100 g), iron (9.13 mg/100 g), and copper (2.03 mg/100 g) content. X-ray fluorescence and phase analysis confirmed the amorphous nature of gluten-free mixtures with oilseed meal. Electron microscopy results showed that the gluten-free mixtures with cake addition consisted of particles ranging in size from 2.5 to 25 microns. Overall, incorporating oilseed meal flour into gluten-free formulations enhances nutritional value without compromising structural properties, making it a promising ingredient in food production.
Dynamics of Lagrangian Sensor Particles: The Effect of Non-Homogeneous Mass Distribution
Authors: Rautenbach Ryan , Hofmann Sebastian , Buntkiel Lukas , Schäfer Jan , Reinecke Sebastian Felix , Hoffmann Marko , Hampel Uwe , Schlüter Michael
Published: August 2024

The growing demand for bio-pharmaceuticals necessitates improved methods for the characterization of stirred tank reactors (STRs) and their mixing heterogeneities. Traditional Eulerian measurement approaches fall short, culminating in the use of Lagrangian Sensor Particles (LSPs) to map large-scale STRs and track the lifelines of microorganisms such as Chinese Hamster Ovary cells. This study investigates the hydrodynamic characteristics of LSPs, specifically examining the effects that the size and position of the Center of Mass (CoM) have on their flow-following capabilities. Two Lagrangian Particle (LP) designs are evaluated, one with the CoM and a Geometric Center aligned, and another with a shifted CoM. The experimental study is conducted in a rectangular vessel filled with deionized water featuring a stationary circular flow. Off-center LPs exhibit higher velocities, an increased number of floor contacts, and moreover, a less homogeneous particle probability of presence within the vessel compared to LPs with CoM and Geometric Center aligned. Lattice Boltzmann Large Eddy Simulations provide complementary undisturbed fluid velocity data for the calculation of the Stokes number St. Building upon these findings, differences in the Stokes number St between the two LP variants of ΔSt = 0.01 (25 mm LP) and ΔSt = 0.13 (40 mm LP) are calculated, highlighting the difference in flow behavior. Furthermore, this study offers a more representative calculation of particle response time approach, as the traditional Stokes number definition does not account for non-homogeneous particles, resulting in an alternative Stokes number (ΔStalt = 0.84 (25 mm LP) and ΔStalt = 2.72 (40 mm LP)). This study contributes to the improved characterization of STRs through the use of Lagrangian Sensor Particles. Results highlight the implications the internal mass distribution has on LSP design, offering crucial considerations for researchers in the field.
Participation in the Triune God and Communion Ecclesiology
Authors: Karttunen Tomi
Published: August 2024

Overcoming the harmful side of dualism is one of the key contemporary challenges. Theologically, this has meant a holistic turn in trinitarian theology. The article aims to bring relevant features of the patristic understanding—especially St Augustine’s—into dialogue with the contributions of Luther and Bonhoeffer to trinitarian ontology. The thesis of this article is that Augustine’s theological heritage can promote an ecumenical understanding of participatory trinitarian thinking which combines both Western and Eastern approaches. I suggest that it can provide valuable insights for the current theological discussion. The approach of the Augustinian tradition, which focuses on the concept of relation and develops its connection with substance, and the approach of the Greek Fathers and their theology of the primacy of the person of the Father are brought into dialogue. It is suggested that in Luther’s and Bonhoeffer’s further development of Augustinian theology, the understanding of the Trinitarian communion as a dialectic between person and community in love can in a constructive way overcome both ecclesial individualism and rigid collectivism and form a horizon for a holistic ecumenical theology for today.
Entropy and the Idea of God(s): A Philosophical Approach to Religion as a Complex Adaptive System
Authors: Fisher Matthew Zaro
Published: August 2024

While a universal definition of religion eludes the field of religious studies, it certainty seems that people are becoming differently religious rather than a-religious, especially since the latter half of the twentieth century. To explain the enduring relevance of religion in human experience, this article expands on recent evolutionary and sociological research in the systems theory of religion and develops a philosophical approach to understanding religion as a complex adaptive system. Frameworks of meaning and beliefs communicated by religious systems emerge and adapt in relation to interpretive selection pressures communicated by individuals-in-community relative to entropy’s role in one’s contingent experience as a “teleodynamic self” in the arrow of time. Religious systems serve an entropy-reducing function in the minds of individuals, philosophically speaking, because their sign and symbol systems communicate an “anentropic” dimension to meaning that prevents uncertainty ad infinitum (e.g., maximum Shannon entropy) concerning matters of existential concern for phenomenological systems, i.e., persons. Religious systems will continue to evolve, and new religious movements will spontaneously emerge, as individuals find new ways to communicate their intuition of this anentropic dimension of meaning in relation to their experience of contingency in the arrow of time.