bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Additional Mesopores and the Surface Modification of the Y-Type Zeolite on the Alkane Oxidation Activity of Iron Complex-Encapsulated Catalysts
Authors: Takeda Takamasa , Okamura Masaya , Yamaguchi Syuhei , Yahiro Hidenori , Hikichi Shiro
Published: February 2025

Catalytic alkane hydroxylation activities of the iron complex encapsulated into the micropore of the Y-type zeolite and mesoporous zeolites, the latter of which were obtained by the partial removal of aluminum and alkaline treatment, have been explored by using H2O2 as the oxidant. The iron complex with tris(pyridylmethyl)amine (=TPA) encapsulated into the micropore of the genuine Y-type zeolite was a more stable and effective cyclohexane hydroxylating heterogeneous catalyst compared to the corresponding copper analogue as well as the non-encapsulated homogeneous Fe-TPA complex. The chemical modification of the zeolite supports with the organic groups led to changing the catalytic activity depending on the size and the hydrophobic or hydrophilic nature of the added organic groups. When the content of water in the solvent was increased, the activity of the hydrophilic longer chain-modified catalyst was improved compared to that applied on the reaction with the non-aqueous solvent. The hydrophobic fluoroalkyl modifier located near the entrance of the micropore hindered the access of the substrate and aqueous H2O2 to the encapsulated iron complex site in the genuine Y-type zeolite. On the other hand, the hydrophobic modification effectively improved the activity of the catalyst with the zeolite support having higher amounts of mesopores. The synergistic effect of the wider bore diameters and the hydrophobic nature derived from the fluoroalkyl chains led to the concentration of the hydrocarbon substrate near the active iron complex.
Kinetics of Photodegradation and Durability of Inkjet Prints: A Comparative Study of Aqueous Solutions and Printed Substrates
Authors: Blaznik Barbara , Kovač Franci , Bračko Sabina
Published: February 2025

The durability of the materials is often limited as they fade under the influence of external factors, particularly light. The present research aimed to study the photodegradation of commercial inkjet inks in an aqueous solution. The results were compared with their stability on prints in order to establish the connection between the kinetics of photodegradation of dye in the solution and the durability of the final print. Thin-layer chromatography (TLC), chromatography with a mass selective detector (GC/MS), and spectrophotometric measurements were used to study the effect of light, including near UV. The results clearly show that the catalytic effect between different dyes cannot be avoided, as the inks for inkjet printing are usually a mixture of different colorants. A comparison of the results of photodegradation of the dye in solution and on the final prints does not show a direct connection due to the different influences of external factors. Consequently, it was established that it is not possible to predict the photodegradation of prints solely based on a single dye’s analysis in solution. The paper as a substrate must be included in the analysis, as it significantly influences the photodegradation of the print.
Research Progress in Ionic Liquid-Based Electrolytes for Electrochromic Devices
Authors: Zhang Hao , Liu Yixuan , Wang Xuehan , Feng Keying , Wang Qilin , Chen Zheng , Jiang Zhenhua
Published: February 2025

Electrochromic (EC) technology has become one of the smart technologies with the most potential for development and application at this stage. Based on electrochromic devices (ECDs), this technology has shown extraordinary potential in the fields of smart windows, display devices, and sensing systems. With the optimization and iteration of various core components in ECDs, the electrolyte layer, a key component, evolved from its initial liquid state to a quasi-solid state and solid state. As driven by increasing application demands, the development trend indicates that all-solid-state, transparent electrolytes will likely become the future form of the electrolyte layer. Recently, the application of ionic liquid (IL)-based electrolytes in the field of electrochromism attracted a lot of attention due to their ability to bring outstanding EC cycling stability, thermal stability, and a wider operating voltage range to ECDs, and they are regarded as the new generation of electrolyte materials with the most potential for application. Although compared with conventional electrolytes, IL-based electrolytes have the characteristics of high price, high viscosity, and low conductivity, they are still considered the most promising electrolyte materials for applications. However, so far, there has been a lack of comprehensive analysis reports on “Research progress in ionic liquid-based electrolytes for electrochromic devices” within the EC field. In this article, the research progress of IL-based electrolytes in ECDs will be summarized from three perspectives: liquid, quasi-solid, and solid state. The future development directions of IL-based electrolytes for ECDs are discussed.
The Additive Psychosocial Effects of Binge Eating and Food Insecurity Among Midlife and Older Women
Authors: Kilpela Lisa Smith , Loera Taylur , Wilfred Salomé Adelia , Salinas Jessica , Cuauro Sabrina E. , Becker Carolyn Black
Published: February 2025

Background/Objectives: Evidence suggests that food insecurity (FI) is a risk factor for eating disorder (ED) symptoms, especially binge eating (BE), yet research focusing on the psychosocial effects among midlife/older women is lacking. Midlife/older women living with FI experience intersectional disadvantage, thus highlighting the need for an independent investigation of the cultural and contextual factors of this population. The current study examined the difference in psychological health and quality of life (QOL) among women living with BE and FI (BE + FI) versus FI without BE. Method: Female clients of a food bank, aged 50+ (N = 295; M age = 62.1 years, SD = 8.2) living with FI completed measures of BE and psychosocial comorbidities. The measures were provided in English and Spanish. Results: A multivariate analysis of covariance compared women living with BE and FI (BE + FI) versus FI without BE on outcomes related to mental health and wellbeing. Covarying for age, FI severity, and ethnicity, the results indicated that women living with BE + FI reported worsened anxiety, depression, ED-related psychosocial impairment, internalized weight stigma, and QOL versus women living with FI without BE (all ps < 0.001). Effect sizes ranged from small to medium to large. Conclusions: Midlife/older women living with BE + FI report poorer psychological health and QOL than those living with FI without BE, demonstrating a critical need for mental healthcare in this population. Innovative solutions—and likely a portfolio of interventional approaches with various entry points and delivery modalities—are warranted, if we are to make significant strides in addressing ED symptoms in this population.
A New Approach to Designing Multi-Element Planar Solar Concentrators: Geometry Optimization for High Angular Selectivity and Efficient Solar Energy Collection
Authors: Stsepuro Nikita , Kovalev Michael , Podlesnykh Ivan , Kudryashov Sergey
Published: February 2025

This paper introduces a novel approach to the design of multi-element planar solar concentrators, aimed at optimizing solar energy harvesting systems. The proposed methodology is based on the integration of identical unit cells, strategically arranged to enhance solar radiation capture efficiency and achieve high angular selectivity. Mathematical modeling of the operational principles of the unit cells forms the foundation for determining production parameters and streamlining the concentrator assembly process. Particular emphasis is placed on analyzing key performance metrics, such as solar radiation concentration and optical efficiency, thereby advancing the understanding of the relationship between design parameters and energy output. The study employs MATLAB R2022b and ZemaxOpticStudio 13 software to model the solar concentrator, identifying the optimal cell configuration to achieve a geometric concentration ratio of 3.45, with angular selectivity ranging from 23° to 90°. This research contributes significantly to the field of solar concentrator technology, offering a pathway for more efficient utilization of renewable energy sources and improved adaptability to diverse operating conditions.
Structured Light Field Recovery from Dynamic Scattering Media
Authors: Zhou Shiwen , Mo Guangcui , Zeng Zepei , Hu Yanwen , Fu Shenhe
Published: February 2025

Performing light field recovery from diffusing wave is difficult owing to its complex and randomized light behaviors imposed by scatters. The problem becomes even more challenging when a time-varying scattering medium is involved, because, the scattered light changes in space and time. Here we report theoretically and experimentally an approach to structured field recovery behind a dynamic scattering medium, both in the near-field and the far-field diffraction regimes. We exploit the temporal irregular scattering behaviors of the dynamic scatter to overcome light field distortions, without any prior knowledge or wavefront control technique. Of particular interest is that the technique can work with a fast response rate of the scattering change in the order of microsecond level, which is inaccessible with previous techniques. Furthermore, we demonstrate the possibility for recovering a higher-order vector vortex light field from a dynamic diffuser, which was not addressed before. This work shows a significant advance toward light field recovery behind the dynamic scatters and may find intriguing applications.
Macroscopic Fourier Ptychographic Imaging Based on Deep Learning
Authors: Liu Junyuan , Sun Wei , Wu Fangxun , Shan Haoming , Xie Xiangsheng
Published: February 2025

Fourier Ptychography (FP) is a powerful computational imaging technique that enables high-resolution, wide-field imaging by synthesizing apertures and leveraging coherent diffraction. However, the application of FP in long-distance imaging has been limited due to challenges such as noise and optical aberrations. This study introduces deep learning methods following macroscopic FP to further enhance image quality. Specifically, we employ super-resolution convolutional neural networks and very deep super-resolution, incorporating residual learning and residual neural network architectures to optimize network performance. These techniques significantly improve the resolution and clarity of FP images. Experiments with real-world film samples demonstrate the effectiveness of the proposed methods in practical applications. This research highlights the potential of deep learning to advance computational imaging techniques like FP, paving the way for improved long-distance imaging capabilities.
Metabolomic Analysis Reveals the Diversity of Defense Metabolites in Nine Cereal Crops
Authors: Huang Sishu , Li Xindong , An Kejin , Xu Congping , Liu Zhenhuan , Wang Guan , Hou Huanteng , Zhang Ran , Wang Yutong , Yuan Honglun , Luo Jie
Published: February 2025

Cereal crops are important staple foods, and their defense metabolites hold significant research importance. In this study, we employed LC-MS-based untargeted and widely-targeted metabolomics to profile the leaf metabolome of nine cereal species, including rice, wheat, maize, barley, sorghum, common oat, foxtail millet, broomcorn millet, and adlay. A total of 9869 features were detected, among them, 1131 were annotated, encompassing 18 classes such as flavonoids, lipids, and alkaloids. Results revealed that 531 metabolites were detected in all species, while each cereal crop possessed 4 to 12 unique metabolites. Focusing on defense metabolites, we identified eight benzoxazinoids uniquely present in maize, wheat, and adlay. Hierarchical clustering based on metabolite abundance divided all metabolites into nine clusters, and subsequent pathway enrichment analysis revealed that the stress-related flavonoid biosynthesis pathway was enriched in multiple clusters. Further analysis showed that four downstream compounds of HBOA (2-hydroxy-1,4-benzoxazin-3-one) in the benzoxazinoid biosynthesis pathway were enriched in maize. Wheat uniquely accumulated the 4′-methylated product of tricin, trimethoxytricetin, whereas adlay accumulated the tricin precursor tricetin in the flavonoid biosynthesis pathway. In summary, this study elucidates the metabolic diversity in defense metabolites among various cereal crops, providing valuable background information for the improvement of stress resistance in cereal crops.
Exploring Helianthus Species for Resilience to Drought During the Critical Reproductive Stage
Authors: Jocković Jelena , Grahovac Nada , Milovac Željko , Jocković Milan , Jocić Siniša , Marjanović Jeromela Ana , Cvejić Sandra
Published: February 2025

Drought stress during the reproductive phase of sunflower can significantly reduce achene yield by affecting inflorescence size, nectar quality, and pollinator activity. This study aimed to analyze the morphological characteristics of the reproductive region, quantify nectar sugar components, and evaluate pollinator presence and pollination success in wild Helianthus species as an important genetic resource for breeding cultivated sunflowers under drought conditions. Morphological investigations were conducted during the flowering and achene development phases with a stereo microscope and calipers. Nectar sugar concentrations were analyzed via HPLC, and pollinator presence was monitored twice a week for two months. This study highlights the correlation between evaluated traits, emphasizing their importance as yield indicators. Significant differences were observed in reproductive characters, nectar quality, and pollination success among the species. Helianthus annuus and Helianthus argophyllus exhibited superior reproductive performance with high nectar sugar concentrations and larger inflorescences, enabling successful pollination and higher achene yield. In contrast, Helianthus debilis demonstrated lower reproductive efficiency, with a higher percentage of empty achenes. These findings provide valuable insights for breeding programs, highlighting H. argophyllus and H. annuus as promising genetic resources for developing sunflower genotypes with increased yield and improved floral traits adapted to drought conditions.
Changes in Heat Resistance and Mechanical Properties of Peroxide Cross-Linking HDPE: Effects of Compounding Cross-Linkers
Authors: Liu Shunquan , Zhang Run , Fu Chenchao , Zheng Tianshuo , Xue Ping
Published: February 2025

Due to excellent chemical resistance and impermeability, high-density polyethylene (HDPE) is widely used in petrochemical transportation, product packaging, sports equipment, and marine applications. Yet, with the wide variety of service environments, its mechanical and thermal properties do not meet the demand. In the present study, a compounding cross-linker comprising di-tert-butyl peroxide (DTBP) and triallyl isocyanurate (TAIC) is employed by combining with a two-step preparation process. High-quality cross-linking reactions are achieved for HDPE. In this study, the cross-linking of DTBP is first examined separately. A peak cross-linking degree of 74.7% is achieved, and there is a large improvement in thermal resistance and mechanical properties. Subsequently, the composite cross-linking system of DTBP and TAIC is investigated. The peak cross-linking degree is 82.1% (10% increase compared to DTBP). The peak heat deformation temperature is 80.1 °C (22% increase compared to DTBP). The peak impact strength is 104.73 kJ/m2 (207% increase compared to neat HDPE). The flexural strength is 33.6 MPa (22% increase compared to neat HDPE). The results show that this cross-linking system further improves the cross-linking degree, heat resistance, and mechanical properties of HDPE, indicating its potential application in engineering materials for high performance.
Polymeric Materials for Wastewater Treatment Applications
Authors: Otero Marta , Coimbra Ricardo N.
Published: February 2025

Water of adequate quality is crucial for the survival of most life forms, playing a key role in human health, social and economic progress, and the functioning of ecosystems [...]
A Strategy Towards the Valorization of Aloe Vera Rinds to Obtain Crystalline Cellulose: Pretreatment Effects and Elemental Analysis
Authors: Juárez Méndez Mayra Elizabeth , Palma Ramírez Diana , García Zaleta David Salvador , Neri Espinoza Karen A. , López Benítez Acela , del Ángel López Deyanira , Morales García Sandra Soledad , Willcock Helen
Published: February 2025

Although crystalline nanocellulose (CNCs) can be extracted from different resources, the employed pretreatments, which disrupt the inter- and intramolecular physical interactions, depend on the biomass sources. This study aims to valorize Aloe Vera (AV) rinds into cellulose and crystalline nanocellulose (CNC) employing two approaches during hydrolysis: sulfuric acid (CNCSA) and citric acid (CNCCA) after 30, 60, and 90 min of reaction. The effects of pretreatments and hydrolysis time on the functional groups and hydrogen bonding in biomass are discussed. Crystalline structure (polymorph type), crystallinity, thermal stability, morphology, particle size, and metal presence are also analyzed. A transformation from type I into II polymorph was achieved, where the intermolecular interactions governing cellulose were increased in CNCSA and were almost maintained in CNCCA. Properties based on the structure, thermal properties, particle size, and metal presence indicate that the CNCSA30 and CNCCA90 samples displayed potential application as reinforcement agents for other types of polymers having no more melting points of 160 and 220 °C, respectively.
Development and Investigation of a Separation Process Within Cross-Flow with Superimposed Electric Field
Authors: Paas Simon , Nikolaus Kai , Antonyuk Sergiy
Published: February 2025

The increasing demand for highly specific particulate products in industrial processes is a driving factor in the development of novel particle separation processes. In this work, a multidimensional separation process for wet simultaneous separation by hydrodynamic diameter and electrophoretic mobility was developed. The hydrodynamic effects and electrophoretic influences within this process were experimentally investigated on different scales with three setups for batch and continuous operation. Flow rates were varied from a few mL∙min−1 to several 100 L∙h−1, and electric field strengths of up to 300 V∙cm−1 were employed to analyze different spherical particles in the range of 1 to 100 µm. The investigations demonstrated the limitation of the separation process due to some of the resulting effects, such as electrolysis. A scale-up approach for hydrodynamic separation was developed based on CFD simulation, which can predict the operating range of the process with the high efficiency.
The Incompatibility Pitfall in Refining Opportunity Crude Oils
Authors: Stratiev Dicho , Shishkova Ivelina , Georgiev Georgi , Dinkov Rosen , Nedelchev Angel , Nikolova Radoslava , Veli Anife , Bureva Veselina , Atanassov Krassimir , Berg Frans van den , Yordanov Dobromir , Toteva Vesislava
Published: February 2025

Refining light and heavy oils in different proportions seems attractive, especially in cases of geopolitical, economic, environmental, and logistical constraints. The economical attractiveness could be undermined in cases where incompatibility occurs. The current study explores a highly complex refinery performance during processing a blend consisting of 17 crude oils of which one was extra light, five were light, nine were medium, and two were heavy. A n-heptane dilution test, using centrifugation, was employed to assess the colloidal stability of crude oils. In addition, a previously established correlation to relate crude oil vacuum residue fraction Conradson carbon content to asphaltene peptizability Sa according to ASTM D 7157 was also availed for the purpose of evaluating colloidal stability. It was found that the crude desalter amperage increases with the SBNIBN ratio and Sa reduction, reaching its maximum allowable value of 180 A at the SBNIBN ratio of 1.35, and Sa of 0.64. The SBNIBN ratio was found more reliable in predicting oil compatibility than the other SBNINmax ratio used to assess colloidal stability in various research. Along with the increase in crude desalter amperage, fouling of the heat exchangers of a crude oil distillation plant was also recorded. An intercriteria analysis of process data together with crude composition data, and compatibility indices revealed that the amperage enhancement is statistically meaningfully related to an increase in the heaviest crude oil content in the process blend and the compatibility indices SBNIBN ratio and Sa, while the fouling was related only to the content of one of the light crude oils in the processed blend.
Testing of the Health Action Process Approach Model to Predict Physical Activity Behaviours of Women Experiencing Urinary Incontinence
Authors: Gard Amanda J. M. , Abdullah Ahmed , Lavallee David
Published: February 2025

Background: This study evaluated the validity and reliability of the Health Action Process Approach model to predict physical activity behaviours in women experiencing urinary incontinence. Methods: Participants (n = 389) completed a series of measures evaluating motivational and volitional factors related to health behaviour change, with data analysed using Partial Least Squares Structural Equation Modelling. Results: The results demonstrated the model’s reliability, with the constructs of self-efficacy and outcome expectancies being strongly associated with behavioural intentions. Maintenance self-efficacy was identified as a key predictor of planning constructs, but intention and planning were less predictive of physical activity behaviour than anticipated. The inclusion of specific constructs to measure urinary incontinence outcome expectancies also highlighted the complex nature of the way urinary incontinence is experienced by women inside and outside of the physical environment. Conclusions: These findings emphasise the need for tailored interventions addressing both motivational and planning processes to bridge the intention–behaviour gap in this population. Further research is recommended to refine models for specific subgroups, incorporating age and health condition variables, to enhance intervention efficacy and promote lifelong physical activity engagement for women experiencing urinary incontinence.
Longevity Risk and Annuitisation Decisions in the Absence of Special-Rate Life Annuities
Authors: de Andrés-Sánchez Jorge , González-Vila Puchades Laura
Published: February 2025

Longevity risk affecting older adults can be transferred to the insurance market by purchasing a lifetime annuity. Special-rate life annuities, which are priced, among other factors, on the basis of health and lifestyle factors, go beyond traditional considerations of age and sex by using modified mortality tables. However, they are not available in many countries. In regions where life annuities are priced solely via standard mortality tables, retirees with below-average life expectancy may face unfair pricing. This study aims to quantify this actuarial unfairness and proposes an alternative annuitisation strategy for these retirees. The strategy allows them to transfer longevity risk by acquiring a life annuity on the basis of their actual mortality probabilities, thereby mitigating actuarial inequities. Additionally, the paper examines how tax incentives can exacerbate actuarial unfairness and, specifically for Spanish tax regulations, compares different alternatives under two scenarios related to the sources used for purchasing life annuities.
Influences of Discontinuous Attitudes on GNSS/LEO Integrated Precise Orbit Determination Based on Sparse or Regional Networks
Authors: Wang Yuanxin , Sun Baoqi , Wang Kan , Yang Xuhai , Zhang Zhe , Zhang Minjian , Wu Meifang
Published: February 2025

A uniformly distributed global ground network is essential for the accurate determination of GNSS orbit and clock parameters. However, achieving an ideal ground network is often difficult. When limited to a sparse or regional network of ground stations, the integration of LEO satellites can substantially enhance the accuracy of GNSS Precise Orbit Determination (POD). In practical processing, discontinuities with complicated gaps can occur in LEO attitude quaternions, particularly when working with a restricted observation network. This hampers the accuracy of determining GNSS/LEO integrated orbits. To address this, an investigation was conducted using data from seven LEO satellites, including those from Sentinel-3, GRACE-FO, and Swarm, to evaluate integrated POD performance under sparse or regional station conditions. Particular focus was placed on addressing attitude discontinuities. Four scenarios were analyzed, encompassing both continuous data availability and one-, two-, and three-hour interruptions after one hour of continuous data availability. The results showed that the proposed quaternion rotation matrix interpolation method is reliable for the integrated POD of GNSSs and LEOs with strict attitude control.
Revisiting the 2020 Mw 6.8 Elaziğ, Türkiye Earthquake with Physics-Based 3D Numerical Simulations Constrained by Geodetic and Seismic Observations
Authors: He Zhongqiu , Zhang Yuchen , Wang Wenqiang , Wang Zijia , Sunilkumar T. C. , Zhang Zhenguo
Published: February 2025

Dynamic rupture simulations of earthquakes offer crucial insights into the physical mechanisms of driving fault slip and seismic hazards. By incorporating non-planar fault models that accurately represent subsurface structures, this study provides a realistic depiction of the rupture processes of the 2020 Mw 6.8 Elazığ, Türkiye earthquake, influenced by geometric complexities. Initially, we determined its coseismic slip on the non-planar fault using near-field strong motion and InSAR observations. Subsequently, we established the heterogeneous initial stress on the fault plane based on the coseismic slip and integrated it into the dynamic rupture modeling to assess physics-based ground motion and seismic hazards. The numerical simulations utilized the curved grid finite-difference method (CGFDM), which effectively models rupture dynamics with heterogeneities in fault geometry, initial stress, and other factors. Our synthetic surface deformation and seismograms align well with the observational data obtained from InSAR and seismic instruments. We observed localized occurrences of supershear rupture during fault propagation. Furthermore, the intensity distribution we simulated closely aligns with the actual observations. These findings highlight the critical role of source heterogeneity in seismic hazard assessment, advancing our understanding of fault dynamics and enhancing predictive capabilities.
Predicting Perennial Ryegrass Cultivars and the Presence of an Epichloë Endophyte in Seeds Using Near-Infrared Spectroscopy (NIRS)
Authors: Vassiliadis Simone , Guthridge Kathryn M. , Reddy Priyanka , Ludlow Emma J. , Hettiarachchige Inoka K. , Rochfort Simone J.
Published: February 2025

Perennial ryegrass is an important temperate grass used for forage and turf worldwide. It forms symbiotic relationships with endophytic fungi (endophytes), conferring pasture persistence and resistance to herbivory. Endophyte performance can be influenced by the host genotype, as well as environmental factors such as seed storage conditions. It is therefore critical to confirm seed quality and purity before a seed is sown. DNA-based methods are often used for quality control purposes. Recently, near-infrared spectroscopy (NIRS) coupled with hyperspectral imaging was used to discriminate perennial ryegrass cultivars and endophyte presence in individual seeds. Here, a NIRS-based analysis of bulk seeds was used to develop models for discriminating perennial ryegrass cultivars (Alto, Maxsyn, Trojan and Bronsyn), each hosting a suite of eight to eleven different endophyte strains. Sub-sampling, six per bag of seed, was employed to minimize misclassification error. Using a nested PLS-DA approach, cultivars were classified with an overall accuracy of 94.1–98.6% of sub-samples, whilst endophyte presence or absence was discriminated with overall accuracies between 77.8% and 96.3% of sub-samples. Hierarchical classification models were developed to discriminate bulked seed samples quickly and easily with minimal misclassifications of cultivars (<8.9% of sub-samples) or endophyte status within each cultivar (<11.3% of sub-samples). In all cases, greater than four of the six sub-samples were correctly classified, indicating that innate variation within a bag of seeds can be overcome using this strategy. These models could benefit turf- and pasture-based industries by providing a tool that is easy, cost effective, and can quickly discriminate seed bulks based on cultivar and endophyte content.
Analysis of the Influence of the Dynamic Characteristics of an Optical Bench on Optical Mechanical System Imaging Under Vibration Conditions
Authors: Wang Yijian , Jia Ping , Wang Ping , Liu Zhongyu , Zhang Yupeng , Sun Lu
Published: February 2025

The imaging processes of optoelectronic devices are affected by vibration in the transportation platform, which can cause image shaking and blurring. Nowadays, devices often solve problems of image shaking and blurring using motion rotors. However, there is relatively little research on the influence of optical fixtures themselves under vibration conditions. This article analyzes the influence of sinusoidal vibrations on the MTF of an imaging process, pointing out the randomness of imaging effects under conditions of low-frequency vibration. To address the issue of low-frequency vibration effects, an analysis of the designs, and experimental verification, of a specific optical system mount were conducted to verify the influence of the mount’s own properties on imaging under random vibration conditions, providing a basis for the design of future optical mechanical systems.
Secondary Frequency Modulation Strategy for SiC Inverters Based on Periodic Spread Spectrum Modulation
Authors: Cao Yanfei , Su Junjie , Yan Yan , Lin Zhichen , Shi Tingna
Published: February 2025

This paper aims to design the modulation strategy of SiC motor controller for vehicles with low EMI, low device loss and low voltage/current ripple. The equivalent evaluation model of input voltage, output current and switching loss of the inverter under periodic spread spectrum modulation strategy is constructed, and the quantitative relationship between each parameter of spread spectrum modulation and the three indicators is established. The input/output performance and loss level of the inverter under different spread spectrum modulation strategies are evaluated. On this basis, based on the carrier frequency distribution characteristics of periodic signal spread spectrum modulation, a “secondary frequency modulation” strategy is proposed to reduce the inverter-conducted EMI to a greater extent under the limited spread spectrum range. Experimental results show that compared with the single periodic signal spread spectrum modulation, the “secondary frequency modulation” strategy can reduce the peak value of inverter-conducted EMI to a greater extent without increasing the ripple and loss of the inverter.
Interpretable Probabilistic Identification of Depression in Speech
Authors: Ntalampiras Stavros
Published: February 2025

Mental health assessment is typically carried out via a series of conversation sessions with medical professionals, where the overall aim is the diagnosis of mental illnesses and well-being evaluation. Despite its arguable socioeconomic significance, national health systems fail to meet the increased demand for such services that has been observed in recent years. To assist and accelerate the diagnosis process, this work proposes an AI-based tool able to provide interpretable predictions by automatically processing the recorded speech signals. An explainability-by-design approach is followed, where audio descriptors related to the problem at hand form the feature vector (Mel-scaled spectrum summarization, Teager operator and periodicity description), while modeling is based on Hidden Markov Models adapted from an ergodic universal one following a suitably designed data selection scheme. After extensive and thorough experiments adopting a standardized protocol on a publicly available dataset, we report significantly higher results with respect to the state of the art. In addition, an ablation study was carried out, providing a comprehensive analysis of the relevance of each system component. Last but not least, the proposed solution not only provides excellent performance, but its operation and predictions are transparent and interpretable, laying out the path to close the usability gap existing between such systems and medical personnel.
A Multi-Task Causal Knowledge Fault Diagnosis Method for PMSM-ITSF Based on Meta-Learning
Authors: Lan Ping , Yao Liguo , Lu Yao , Zhang Taihua
Published: February 2025

In the process of diagnosing the inter-turn short circuit fault of the joint permanent magnet synchronous motor of an industrial robot, due to the small and sparse fault sample data, it is easy to misdiagnose, and it is difficult to quickly and accurately evaluate the fault degree, lock the fault location, and track the fault causes. A multi-task causal knowledge fault diagnosis method for inter-turn short circuits of permanent magnet synchronous motors based on meta-learning is proposed. Firstly, the variation of parameters under the motor’s inter-turn short circuit fault is thoroughly investigated, and the fault characteristic quantity is selected. Comprehensive simulations are conducted using Simulink, Simplorer, and Maxwell to generate data under different inter-turn short circuit fault states; meanwhile, the sample data are accurately labeled. Secondly, the sample data are introduced into the learning network for training, and the multi-task synchronous diagnosis of the fault degree and position of the short circuit between turns is realized. Finally, the Neo4j database based on causality knowledge of motor inter-turn short circuit fault is constructed. Experiments show that this method can diagnose the fault location, fault degree, and fault cause of the motor with different voltage unbalanced degrees. The diagnosis accuracy of fault degree is 99.75 ± 0.25%, and the diagnosis accuracy of fault location and fault degree is 99.45 ± 0.21%.
Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils
Authors: Monzón-Verona José Miguel , García-Alonso Santiago , Santana-Martín Francisco Jorge
Published: February 2025

In this paper, electrical discharge images are classified using AI with quantum machine learning techniques. These discharges were originated in dielectric mineral oils and were detected by a high-resolution optical sensor. The captured images were processed in a Scikit-image environment to obtain a reduced number of features or qubits for later training of quantum circuits. Two quantum binary classification models were developed and compared in the Qiskit environment for four discharge binary combinations. The first was a quantum variational model (QVM), and the second was a conventional support vector machine (SVM) with a quantum kernel model (QKM). The execution of these two models was realized on three fault-tolerant physical quantum IBM computers. The novelty of this article lies in its application to a real problem, unlike other studies that focus on simulated or theoretical data sets. In addition, a study is carried out on the impact of the number of qubits in QKM, and it is shown that increasing the number of qubits in this model significantly improves the accuracy in the classification of the four binary combinations studied. In the QVM, with two qubits, an accuracy of 92% was observed in the first discharge combination in the three quantum computers used, with a margin of error of 1% compared to the simulation obtained on classical computers.
Female Genital Mutilation (FGM/C) in Garissa and Isiolo, Kenya: Impacts on Education and Livelihoods in the Context of Cultural Norms and Food Insecurity
Authors: Mubaiwa Ottis , Chilo Donah
Published: February 2025

This article explores the complex challenges of combating Female Genital Mutilation (FGM) in the counties of Garissa and Isiolo (Kenya) amidst environmental stressors, particularly drought and food insecurity. FGM persists as a deeply entrenched form of violence against women and girls (VAWG), profoundly rooted in social and traditional beliefs. This practice is often justified by cultural norms but leads to severe physical, psychological, and social harm, perpetuating cycles of gender inequality. Framing FGM as VAWG prioritises its recognition as a violation of human rights and underscores the need for comprehensive, culturally sensitive, and rights-based interventions. In addition, this study investigates how these challenges intersect and complicate efforts to address FGM, focusing on two counties in Kenya known for their adherence to this practice. The research methodology employs a longitudinal panel study design, drawing on in-depth narrative interviews with community narrators. A follow-up data collection was planned after six months to monitor changes over time. Furthermore, this research examines the impact of environmental stressors, such as drought and food insecurity, on educational access, resource availability, and community responses to interventions aimed at eradicating FGM. Findings reveal a complex interplay between cultural norms, economic hardships, and the perpetuation of FGM. Drought and food insecurity exacerbate vulnerabilities within communities, diverting attention and resources away from efforts to challenge ingrained practices like FGM. The article underscores the need for holistic approaches that integrate anti-FGM initiatives into broader resilience-building strategies. It emphasises community engagement, culturally sensitive education, and economic empowerment as pivotal elements in addressing FGM within the context of environmental stressors. Recommendations include mobile education units, community-based empowerment programs, and partnerships with local leaders to foster sustainable change. This case study contributes valuable insights into the challenges of combatting FGM in the face of environmental stressors, shedding light on the intricacies that hinder progress. It advocates for a comprehensive, context-specific approach that recognises and navigates the intersecting challenges posed by cultural norms and environmental crises in the fight against FGM.
Public Policy for Regulating the Congestion in Delivery Rooms in Israel: Alternatives, Consequences, and Recommendations
Authors: Cohen Erez
Published: February 2025

The growing congestion in delivery rooms in Israeli hospitals is the underlying issue of the current study. Aim: The study sought to examine various alternatives for public policy aimed at reducing congestion. The choice of Israel as a case study derives from its conspicuous imbalance between supply and demand in the maternity, resulting from the high demand for prenatal and birthing services on one hand and the low supply, both in absolute terms and relative to OECD countries, of medical resources such as physicians, nurses, and hospital beds. The research combines quantitative research that includes analysis of data related to human resources and hospital beds in Israel compared to other countries on one hand and data on productivity and childbirth in Israel on the other, and qualitative research that includes examination of the different alternatives to hospital-based birth. The research findings present fertility and birth data for Israel in the last decade, which are leading to increased congestion and crowding in delivery rooms and maternity wards at local hospitals. Discussion: Two possible alternatives are proposed for designing and implementing public policy capable of contributing to the regulation of this congestion. One is the home birth, and the second is private birthing centers. The research conclusions indicate that policymakers in Israel must anticipate the increasing congestion in hospital delivery rooms and maternity wards and expedite efforts at designing alternative solutions before the emergence of a crisis situation that will make it essential to identify immediate solutions.
Unraveling the Dynamics of Economic Complexity, Clean Energy, Globalization, and Natural Resource Use for Sustainable Development: Insights from “Next 11” Countries
Authors: Zou Bo , Punjwani Ali
Published: February 2025

Sustainable development is significantly influenced by various factors, including natural resource rents (NARR), economic complexity (ECCP), globalization (GLBL), economic growth (ENG), renewable energy consumption (RNEC), and institutional quality (INTQ). This study examines the relationships between these factors and sustainable development in the “Next 11” (N-11) countries, from 1996 to 2021. The results of the cross-sectional dependence and co-integration tests reveal significant long-term relationships between these factors. The outcomes of pooled mean group autoregressive distributed lag (PMG-ARDL) analyses show that ECCP, ENG, RNEC, GLBL, INTQ and NARR significantly improve the sustainable development of the N-11 countries in the long run. Furthermore, the results show that ENG, INTQ, and NARR deteriorate, while ECCP, RNEC, and GLBL improve the sustainable development of the N-11 countries in the short run. To further analyze the complex relationships in the dataset, an artificial neural network (ANN) was applied. The results show a linear prediction with an overall R value of 0.987, indicating a robust correlation between the variables. This study provides valuable policy implications for the N-11, highlighting opportunities to enhance long-term ecological sustainability. The findings suggest that policymakers can promote sustainable development by leveraging economic complexity, renewable energy consumption, and institutional quality, while minimizing the negative impacts of globalization and ecological footprints.
A Study of the Effect of Lake Shape on Hydrodynamics and Eutrophication
Authors: Zhou Qingchen , Chen Hong , Cheng Baohua , Cheng Yu , Guo Bingbing
Published: February 2025

As an important part of the urban landscape, lakes not only enhance the overall environmental quality of a city, but also strengthen the residents’ sense of well-being and cultural identity. With the acceleration of urbanization, the water quality and ecological health of urban lakes have become increasingly prominent issues. However, there is a lack of quantitative research on the effects of lake shape on the spatial and temporal distribution of hydrodynamics and water quality. Using the Environmental Fluid Dynamics Code (EFDC) model, this study simulates the hydrodynamic characteristics and water quality responses of an urban lake in Tianjin, focusing on the critical role of lake shape in regulating hydrodynamics and water quality. By quantifying the relationship between lake landscape indices (e.g., shape index, Fractal Dimension) and hydrodynamic parameters, this study reveals how lake shape regulates water flow characteristics and nutrient distribution, thereby influencing eutrophication risk. The results show that regular lakes (e.g., Lake B) exhibit higher flow velocities (0.027 m/s) and significantly lower chlorophyll-a concentrations (6–9 μg/L), reducing eutrophication risk, whereas complex-shaped lakes (e.g., Lake X) have lower flow velocities (0.0087 m/s) and higher localized chlorophyll-a concentrations (13–15 μg/L), increasing the risk of eutrophication. This study systematically quantifies the impact of lake shape on hydrodynamic characteristics and water quality distribution, providing a scientific reference for lake shape optimization, precise water replenishment, and water quality management.
Environmental Sustainability and Carbon Footprint of Tourism: A Study of a Natural Park in Northeastern Kazakhstan
Authors: Yessimova Dinara , Faurat Alina , Belyi Alexandr , Yessim Ayana , Sadykov Zhassulan
Published: February 2025

This study aims to assess the environmental sustainability and carbon footprint of tourism in Bayanaul State National Park (Kazakhstan) using the GSTC criteria and the Protocol on Greenhouse Gas Emissions. As part of the work, surveys and interviews were conducted with representatives of the tourism industry, administration officials and environmental organizations to analyze awareness of the principles of sustainable tourism, existing barriers and opportunities to increase sustainability. The results showed that the main contribution to the carbon footprint (530 tons of CO2-eq.) is made by indirect emissions (57%) related to procurement and logistics as well as coal heating (20.5%). Based on the expert assessment method, key factors were identified, such as increased energy efficiency, the introduction of renewable energy sources, separate waste collection and recycling, the transparency of financial management and educational programs for tourists and employees. Based on these factors, a model of sustainable tourism management has been developed, adapted to regional peculiarities. This model provides for the active involvement of the state, business and the local community, and introduces mechanisms to reduce the carbon footprint and increase environmental sustainability. The theoretical contribution of the study is the adaptation of GSTC standards to the conditions of Kazakhstan and the development of a sustainable tourism management model that takes into account local characteristics. The results obtained provide a practical basis for reducing the negative impact of tourism on the environment, improving environmental sustainability and creating conditions for further research and the introduction of sustainable practices.
Sustainable Transition in Transport Energy Consumption: The Charging/Discharging Infrastructure and Self-Containing Transport Energy System of New Energy Vehicles
Authors: Shi Ruifeng , Ji Li , Liu Han , Zhang Zhe
Published: February 2025

This Editorial is part of a collection titled “Sustainable Transition in Transport Energy Consumption: The Charging/Discharging Infrastructure and Self-Containing Transport Energy System of New Energy Vehicles”, providing a complement and introduction to the Special Issue to help readers better understand the collection papers’ contributions [...]