bluuebunny/crossref_metadata_2025 huggingface dataset:
Negative Effects of Butachlor on the Growth and Physiology of Four Aquatic Plants
Authors: Huang Yixuan , Zhao Suting , Xian Ling , Li Wei , Zhou Cunyu , Sun Junyao
Published: January 2024

The increasing use of herbicides in intelligent agricultural production is driven by the time-consuming nature of manual weeding, as well as its ephemeral effectiveness. However, herbicides like butachlor degrade slowly and can be washed away by rainwater, ultimately flowing into the farm ponds and posing risks to aquatic plants. To identify and recommend superior restoration strategies that effectively address the challenges posed by butachlor, we investigated the impacts of butachlor on the growth and physiology of four common aquatic plants (i.e., Hydrilla verticillata, Ceratophyllum demersum, Potamogeton maackianus, and Myriophyllum aquaticum) and their potential role in mitigating environmental damage by reducing residual herbicide levels. Our findings indicated that M. aquaticum was tolerant to butachlor, exhibiting higher growth rates than other species when exposed to various butachlor concentrations. However, the concentration of butachlor negatively impacted the growth of H. verticillata, C. demersum, and P. maackianus, with higher concentrations leading to more significant inhibitory effects. After a 15-day experimental period, aquatic plants reduced the butachlor residuals in culture mediums across concentrations of 0.5 mg/L, 1 mg/L, and 2 mg/L compared to non-plant controls. Our findings classified P. maackianus as butachlor-sensitive and M. aquaticum as butachlor-tolerant species. This investigation represents novel research aimed at elucidating the contrasting effects of different concentrations of butachlor on four common aquatic species in the agricultural multi-pond system.
The Role of Lanthanum Stearate on Strain-Induced Crystallization and the Mechanical Properties of Whole Field Latex Rubber
Authors: Yang Changjin , Luo Yuhang , Li Zechun , Wei Chuanyu , Liao Shuangquan
Published: January 2024

Natural rubber (NR) is extensively utilized in numerous industries, such as aerospace, military, and transportation, because of its exceptional elasticity and all-around mechanical qualities. However, commercial NR made using various techniques typically has distinct mechanical characteristics. For instance, whole field latex rubber (SCR-WF) cured with accelerator 2-Mercaptobenzothiazole exhibits poor mechanical properties. This work attempts to enhance the mechanical property of SCR-WF via the addition of lanthanum stearate (LaSt). The influence of LaSt on strain-induced crystallization (SIC) and the mechanical properties of SCR-WF were investigated. The results of crosslinking density measured by the equilibrium swelling method demonstrate that the presence of LaSt significantly increases the crosslinking density of SCR-WF with lower loading of LaSt. The results of the mechanical properties show that the introduction of LaSt can enhance the tensile strength and fracture toughness of SCR-WF. To reveal the mechanism of LaSt improving the mechanical properties of SCR-WF, synchrotron radiation wide-angle X-ray diffraction (WAXD) experiments were used to investigate the SIC behaviors of SCR-WF. We found that the LaSt leads to higher crystallinity of SIC for the strain higher than 3.5. The tube model indicates the contribution of LaSt in both crosslinking and topological constraints. This work may provide an instruction for developing SCR-WF with superior mechanical properties.
Research on Inbound Jobs’ Scheduling in Four-Way-Shuttle-Based Storage System
Authors: Wu Zhaoyun , Zhang Yingxu , Li Li , Zhang Zhongwei , Zhao Binbin , Zhang Yehao , He Xuewu
Published: January 2024

The four-way-shuttle-based storage and retrieval system is a recent innovative intelligent vertical warehousing system that has been widely applied in manufacturing and e-commerce environments due to its high flexibility and density. As a complex multi-device cooperative operational system, this system features the parallel operation of multiple elevators and four-way shuttles. During large-scale-batch inbound operations, the quality of scheduling solutions for inbound-operation equipment significantly impacts the system’s efficiency and performance. In this paper, a detailed analysis of the inbound-operation process in the system is conducted, taking into consideration the motion characteristics of both the elevators and four-way shuttles. Furthermore, we establish operational time constraints that account for equipment acceleration and deceleration characteristics and introduce a flexible flow-shop-scheduling model to address the scheduling problem in the system. Additionally, we propose an improved genetic algorithm based on double-layer encoding to solve this problem. Comparative experiments with a traditional genetic algorithm and ant-colony algorithm demonstrate the superior efficiency and accuracy of our approach. Finally, the effectiveness of the proposed algorithm is validated through comparisons with large-scale practical experiments.
Analysis of VLF Signal Noise Changes in the Time Domain and Excitations/Attenuations of Short-Period Waves in the Frequency Domain as Potential Earthquake Precursors
Authors: Nina Aleksandra
Published: January 2024

In this paper, we complete pioneering research that indicates the very low frequency (VLF) signal amplitude and phase noise reductions, and short-period wave excitations and attenuations as new potential earthquake precursors. We consider changes in the VLF signal broadcast in Italy by the ICV transmitter and recorded in Serbia that start a few tens of minutes before earthquakes. The sampling interval of the analyzed data is 0.1 s. The main objectives of this study are (1) to complete this research in the time and frequency domains during the periods of the four earthquakes analyzed in the previous studies, and (2) to define the parameters of the VLF signal amplitude and phase in both domains that should be further examined in statistical analyses of the aforementioned potential earthquake precursors. In the first part of this study, we analyze the ICV signal amplitude in the frequency domain during the period around three earthquakes that occurred in November 2010 near the considered signal propagation path. Here, we apply the Fourier transform to the relevant recorded data. In the second part, we compare characteristics of the signal amplitude and phase noise reductions in the time domain, and wave excitations and attenuations in the frequency domain. The results of these comparisons indicate the parameters that should be analyzed in subsequent studies to confirm the connection of the considered VLF signal changes with seismic activity before earthquakes, and potentially establish procedures for their detection are: (a) the start and end times of the noise reductions in the time domain and the excited/attenuated waves in the frequency domain, (b) the differences in the corresponding times, and (c) the wave periods of wave excitations of both the signal amplitude and phase.
MFGAN: Multimodal Fusion for Industrial Anomaly Detection Using Attention-Based Autoencoder and Generative Adversarial Network
Authors: Qu Xinji , Liu Zhuo , Wu Chase Q. , Hou Aiqin , Yin Xiaoyan , Chen Zhulian
Published: January 2024

Anomaly detection plays a critical role in ensuring safe, smooth, and efficient operation of machinery and equipment in industrial environments. With the wide deployment of multimodal sensors and the rapid development of Internet of Things (IoT), the data generated in modern industrial production has become increasingly diverse and complex. However, traditional methods for anomaly detection based on a single data source cannot fully utilize multimodal data to capture anomalies in industrial systems. To address this challenge, we propose a new model for anomaly detection in industrial environments using multimodal temporal data. This model integrates an attention-based autoencoder (AAE) and a generative adversarial network (GAN) to capture and fuse rich information from different data sources. Specifically, the AAE captures time-series dependencies and relevant features in each modality, and the GAN introduces adversarial regularization to enhance the model’s ability to reconstruct normal time-series data. We conduct extensive experiments on real industrial data containing both measurements from a distributed control system (DCS) and acoustic signals, and the results demonstrate the performance superiority of the proposed model over the state-of-the-art TimesNet for anomaly detection, with an improvement of 5.6% in F1 score.
Generative Adversarial Network-Based Data Augmentation for Enhancing Wireless Physical Layer Authentication
Authors: Alhoraibi Lamia , Alghazzawi Daniyal , Alhebshi Reemah
Published: January 2024

Wireless physical layer authentication has emerged as a promising approach to wireless security. The topic of wireless node classification and recognition has experienced significant advancements due to the rapid development of deep learning techniques. The potential of using deep learning to address wireless security issues should not be overlooked due to its considerable capabilities. Nevertheless, the utilization of this approach in the classification of wireless nodes is impeded by the lack of available datasets. In this study, we provide two models based on a data-driven approach. First, we used generative adversarial networks to design an automated model for data augmentation. Second, we applied a convolutional neural network to classify wireless nodes for a wireless physical layer authentication model. To verify the effectiveness of the proposed model, we assessed our results using an original dataset as a baseline and a generated synthetic dataset. The findings indicate an improvement of approximately 19% in classification accuracy rate.
Synthetic Training Data in AI-Driven Quality Inspection: The Significance of Camera, Lighting, and Noise Parameters
Authors: Schraml Dominik , Notni Gunther
Published: January 2024

Industrial-quality inspections, particularly those leveraging AI, require significant amounts of training data. In fields like injection molding, producing a multitude of defective parts for such data poses environmental and financial challenges. Synthetic training data emerge as a potential solution to address these concerns. Although the creation of realistic synthetic 2D images from 3D models of injection-molded parts involves numerous rendering parameters, the current literature on the generation and application of synthetic data in industrial-quality inspection scarcely addresses the impact of these parameters on AI efficacy. In this study, we delve into some of these key parameters, such as camera position, lighting, and computational noise, to gauge their effect on AI performance. By utilizing Blender software, we procedurally introduced the “flash” defect on a 3D model sourced from a CAD file of an injection-molded part. Subsequently, with Blender’s Cycles rendering engine, we produced datasets for each parameter variation. These datasets were then used to train a pre-trained EfficientNet-V2 for the binary classification of the “flash” defect. Our results indicate that while noise is less critical, using a range of noise levels in training can benefit model adaptability and efficiency. Variability in camera positioning and lighting conditions was found to be more significant, enhancing model performance even when real-world conditions mirror the controlled synthetic environment. These findings suggest that incorporating diverse lighting and camera dynamics is beneficial for AI applications, regardless of the consistency in real-world operational settings.
Distributed Sensitivity and Critical Interference Power Analysis of Multi-Degree-of-Freedom Navigation Interference for Global Navigation Satellite System Array Antennas
Authors: Jiang Yuchen , Fu Jun , Li Bao , Jiang Pengfei
Published: January 2024

Current research on the interference of GNSS (Global Navigation Satellite System) array antennas focuses on the single interference effect and the improvement of interference hardware capability, while the multi-degree-of-freedom (DOF) interference model and mechanism remain to be fully studied. Aiming at this problem, this paper analyzes the preconditions for the definition of anti-jamming degrees of freedom and the characteristics of super-DOF interference through formula derivation and simulation. First, by analyzing the influence of the number of interfering signals on the angular resolution, the prerequisite of the definition of anti-interference degrees of freedom in the airspace is proposed. Second, the definition of anti-interference degrees of freedom is used to calculate the change rule of the critical power of the interference under different numbers of interfering signals. Finally, the influence of super-DOF interference on the array antenna is analyzed. The results show that the prerequisite for the anti-interference freedom of the array antenna is that the distribution interval of the interfering signal is greater than 15°, taking a four-array element uniform circular array antenna as an example. The critical interference power of the array antenna decreases by about 15 dB when the number of interfering signals exceeds the degrees of freedom of the array antenna’s interference immunity, provided that the interference resolution is satisfied. The conclusions of this paper give the critical power change rule of multi-DOF interference and the effect of super-DOF interference, as well as the prerequisites for the setting of interference signals, which can be used, for example, in the deployment of distributed interference sources and the development of anti-jamming algorithms.
The Genus Bryonia L. (Cucurbitaceae): A Systematic Review of Its Botany, Phytochemistry, Traditional Uses, and Biological Activities
Authors: Benarba Bachir , Belhouala Khadidja
Published: January 2024

The Bryonia genus (Cucurbitaceae) is divided into 13 plants considered medicinal species with a significant pharmacological value fortreating as well as preventing various ailments. The current systematic review aims to present useful and updated findings published onthis genus inthe last two decades. Based on PubMed, Science Direct, JSTOR, and Google Scholar, 42 of the available previous studies on Bryonia have been selected from 2000 to 2022. Thereafter, these studies were analyzed, summarized, and separately recorded according to the topic or section, adding some comments foreach. Our review provided a botanical description of the genus, followed by itsindigenous uses. Furthermore, more than 150 reported phytochemical compounds were grouped into families such as terpenoids, alkaloids, flavonoids, glycosides, saponins, and volatile oils. Hereby, thebiological activities part of this genus wereexposed, including itsantimicrobial, antioxidant, antidiabetic, antinociceptive, and anti-inflammatory functions, along with an interesting anticancer efficiency. Overall, our findings could contribute to forthcoming investigations that may lead to determining the responsible phytoconstituents for Bryonia’s efficiency.
Exploring if Gamification Experiences Make an Impact on Pre-Service Teachers’ Perceptions of Future Gamification Use: A Case Report
Authors: Guerrero Puerta Laura
Published: January 2024

Gamification has become an increasingly used pedagogical approach in the classroom, motivating students and enhancing their educational experience. This has led to the need for specific training for teachers, as well as a need to understand how this training can be effective and how contact with gamification during teacher training can influence the attitude of pre-service teachers. Therefore, this case report has focused on examining pre-service teachers’ perceptions of gamification as a tool used in their teacher education. Qualitative semi-structured interviews were conducted to collect data on the participants’ individual experience with gamification and their perception of future uses of this technique. The data were collected between December 2010 and February 2020 in Granada, Spain, and were analyzed using qualitative content analysis to identify general trends and findings. Pre-service teachers present a positive perception of gamification as a tool to enhance and motivate learning, highlighting the importance of prior training for its application in the right context, as well as the need to investigate other teaching approaches to improve the effectiveness of gamification. In conclusion, it should be noted that gamification is a pedagogical approach increasingly used in the classroom, so specific training is needed for the teachers responsible for carrying out this technique. This training should include research on the effectiveness of gamification, as well as the best approaches for its application, for student motivation, and for the creation of equal relationships between students.
Continuous Hydrothermal Carbonization of Olive Pomace and Orange Peels for the Production of Pellets as an Intermediate Energy Carrier
Authors: Zijlstra Douwe S. , Visser Mark , Cobussen-Pool Esther , Slort Dennis J. , Nanou Pavlina , Pels Jan R. , Wray Heather E.
Published: January 2024

The ever-increasing volumes of food waste generated and the associated environmental issues require the development of new processing methods for these difficult waste streams. One of the technologies that can treat these waste streams directly is hydrothermal carbonization. In this work, olive pomace and orange peels were treated via a mild hydrothermal carbonization process (TORWASH®) in a continuous-flow pilot plant. For olive pomace, a solid yield of 46 wt% and a dry matter content of 58% for the solid press cakes were obtained during continuous operation for 18 days. For orange peels, the values were lower with 31 wt% solid yield and a 42% dry matter content during 28 days of continuous operation. These values corresponded fully with initial laboratory-scale batch experiments, showing the successful transformation from batch to continuous processing. The obtained hydrochar from both feedstocks showed an increase in higher heating value (HHV) and a significant reduction in ash content. Pellets produced from the solids met the requirements for industrial use, demonstrating a large increase in the deformation temperature and a significant reduction in the potassium and chlorine content compared to the original feedstock. These results indicate the excellent potential of these pellets for combustion applications.
Integrating Aesthetic Education in Quality Education: A Bibliometric Analysis of Sustainable Development Perspectives
Authors: Tao Yiying , Tao Yuheng
Published: January 2024

In the era of pronounced educational reforms and a strong focus on sustainable development, the role of aesthetic education in augmenting educational quality has become pivotal. This study utilizes the CiteSpace knowledge mapping tool for an in-depth literature review and analysis on integrating aesthetic and quality education within the sustainable development ambit. Through bibliometric analysis of 824 articles from the Web of Science database covering 2015–2023, the evolving research trends, core themes, and future directions in this arena are investigated. This study uncovers a paradigm shift from traditional pedagogical approaches and art appreciation to broader areas like technology integration, educational innovation, and themes of social justice and empathy. The increasing prominence of digital arts and design thinking in educational methodologies underscores a commitment to fostering student creativity and addressing personalized learning needs. This research predominantly focuses on the intrinsic value of aesthetic education in enhancing quality education, emphasizing its comprehensive integration across educational, aesthetic, societal, and emotional dimensions. This paper highlights four principal research themes: the transformation of arts education, the interplay between educational policy and social responsibility, the nuances of educational assessment and student development, and the impact of technological advancements in educational practices. Additionally, it outlines five prospective research areas: the fusion of aesthetic education with cutting-edge technology; the cross-cultural implications in a globalized context; promoting inclusive aesthetic education; the potential of aesthetic education in nurturing social responsibility; and developing robust assessment metrics for the integration of aesthetic and quality education. These directions are aimed at enriching the theoretical and practical discourse, shaping the future trajectory of aesthetic education’s role in quality education.
Development and Characterization of Sustainable Coatings on Cellulose Fabric and Nonwoven for Medical Applications
Authors: Somogyi Škoc Maja , Stevelić Nina , Rezić Iva
Published: January 2024

The modification of cellulose woven fabrics and viscose nonwovens was carried out with the aim of preparing sustainable coatings from biodegradable natural polymers. The modification of fabrics with biodegradable natural polymers represents an ecological alternative to other textile modifications, such as the sol-gel process. Coatings were prepared from erythritol, gelatin, and collagen in various formulations with the addition of propolis and alginate fibers and a natural plasticizer (glycerin). The morphology of the materials was determined before and after modification with Dino-Lite. Moreover, the pH value, the drop test method, the angle recovery angle, the thickness, and the mass per unit area were monitored before and after modification. The results have shown that modifications had no significant effect on the thickness or mass per unit area. In contrast, in a larger proportion, they show hydrophilic properties, which favor their application for medical purposes—for example; for the absorption of exudates in wound dressings; etc. In addition, due to the neutral and slightly alkaline pH values of the modified samples, they can be suitable for external application on the skin. The results of the recovery angle of the modified samples proved that the samples did not tend to crease and that they retained their elasticity after modification with a very pleasant textile feel (fabric hand), making them even more suitable for everyday applications.
Advances in Studies on Heavy Metals in Urban Soil: A Bibliometric Analysis
Authors: Tang Shuya , Wang Chunhui , Song Jing , Ihenetu Stanley Chukwuemeka , Li Gang
Published: January 2024

Recent advancements in urban economies and population growth have led to an escalation in urban soil heavy metal pollution, thereby posing significant threats to human life and health. This paper presents a comprehensive bibliometric analysis, detailing the developmental trajectory, research hotspots, and emerging trends in the field of urban soil heavy metal pollution research. Utilizing the CiteSpace and VOSviewer software tools, we conducted an analysis of 1247 articles sourced from the Web of Science Core Collection Database (WoSCC) spanning the period from 2000 to 2022. Our analysis revealed a significant upward trend in the number of publications during the period 2000–2022, a trend expected to persist. Ahmad Kafeel, Khan Zafar Iqbal, and Huang Biao emerged as the leading authors in this domain. The journal, Science of the Total Environment, held the most influence, while China led in the number of publications, with the Chinese Academy of Sciences as the foremost contributor. The research predominantly focused on source apportionment of urban soil heavy metal pollution, pollution risk assessment, and the application of environmental magnetism. Future research priorities include assessing the human health risks from diverse sources of heavy metal pollution, a key aspect of ensuring urban safety and soil health. Our findings delineate the evolutionary trajectory of urban soil heavy metal pollution research over the past two decades and underscore the viability of employing a dynamic bibliometric approach to investigate this research discipline.
The Real-Time Dynamic Prediction of Optimal Taxi Cruising Area Based on Deep Learning
Authors: Wang Sai , Wang Jianjun , Ma Chicheng , Li Dongyi , Cai Lu
Published: January 2024

A real-time, effective, and dynamic taxi cruising recommendation strategy is essential to solving the problem of taxi cruising passenger difficulty and urban road traffic congestion. This study focuses on two aspects of the real-time accessible range and pick-up ratio (PR) and proposes a real-time dynamic identification method for taxi optimal cruise-seeking area. Firstly, based on the cumulative opportunity method, a univariate temporal convolutional network (UTCN) accessible range dynamic prediction model is proposed to predict the real-time accessible range of taxis. Secondly, based on the gradient boosting decision tree (GBDT) model, the influencing factors with a high correlation with the PR are selected from the four dimensions of traffic characteristics, environmental meteorology, and time and space variables. Then, a multivariate univariate temporal convolutional network (MTCN) global grid PR prediction model is constructed, and the optimal taxi cruising area is identified based on the maximum PR. The results show that the taxi accessible range and PR of the same grid in different periods change with time, and based on the model comparison, the accessible range and PR prediction results of UTCN and MTCN algorithms in different periods are the best to identify the optimal cruising area of taxis in different periods. The main contribution of this study is that the proposed optimal cruising area prediction model has timeliness, accessibility, and dynamics. It can not only improve the probability of taxis receiving passengers and avoid taxis cruising aimlessly, but also solve the shortage of taxis in hotspots, thus shortening the waiting time of passengers. This provides a scientific basis for improving taxi cruising efficiency and the government’s formulation of taxi operation management policies, which can effectively promote the sustainable development of urban traffic.
Shifting Workplace Paradigms: Twitter Sentiment Insights on Work from Home
Authors: Haque Amlan , Singh Kishore , Kaphle Sabi , Panchasara Heena , Tseng Wen-Chun
Published: January 2024

The COVID-19 pandemic has forced organisations to evaluate whether work from home (WFH) best fits future office management and employee productivity. The increasing popularity of web-based social media increases the possibility of using employees’ sentiment and opinion-mining techniques to track and monitor their preferences for WFH through Twitter. While social media platforms provide useful data-mining information about employee opinions, more research must be conducted to investigate the sentiment on Twitter of WFH employees. This paper meets this research demand by analysing a random sample of 755,882,104 tweets linked to employees’ opinions and beliefs regarding WFH. Moreover, an analysis of Google trends revealed a positive sentiment toward WFH. The results of this paper explore whether people (as employees) are enthusiastic and optimistic about WFH. This paper suggests that WFH has positive and supportive potential as an HRM strategy to increase workplace effectiveness for greater staff engagement and organisational sustainability.
Memory-Accelerating Methods for One-Step Iterative Schemes with Lie Symmetry Method Solving Nonlinear Boundary-Value Problem
Authors: Liu Chein-Shan , Chang Chih-Wen , Kuo Chung-Lun
Published: January 2024

In this paper, some one-step iterative schemes with memory-accelerating methods are proposed to update three critical values f′(r), f″(r), and f‴(r) of a nonlinear equation f(x)=0 with r being its simple root. We can achieve high values of the efficiency index (E.I.) over the bound 22/3=1.587 with three function evaluations and over the bound 21/2=1.414 with two function evaluations. The third-degree Newton interpolatory polynomial is derived to update these critical values per iteration. We introduce relaxation factors into the Dzˇunic´ method and its variant, which are updated to render fourth-order convergence by the memory-accelerating technique. We developed six types optimal one-step iterative schemes with the memory-accelerating method, rendering a fourth-order convergence or even more, whose original ones are a second-order convergence without memory and without using specific optimal values of the parameters. We evaluated the performance of these one-step iterative schemes by the computed order of convergence (COC) and the E.I. with numerical tests. A Lie symmetry method to solve a second-order nonlinear boundary-value problem with high efficiency and high accuracy was developed.
Effects of KoBo-Processing and Subsequent Annealing Treatment on Grain Boundary Network and Texture Development in Laser Powder Bed Fusion (LPBF) AlSi10Mg Alloy
Authors: Snopiński Przemysław
Published: January 2024

It is well known that the properties of polycrystalline metals are related to grain boundaries (GBs), which are fundamental structural elements where crystallographic orientations change abruptly and often exhibit some degree of symmetry. Grain boundaries often exhibit unique structural, chemical, and electronic properties that differ from bulk crystalline domains. Their effects on material properties, including mechanical strength, corrosion resistance, and electrical conductivity, make grain boundaries a focus of intense scientific investigation. In this study, the microstructural transformation of an AlSi10Mg alloy subjected to KoBo extrusion and subsequent annealing is investigated. A notable discovery is the effectiveness of a strain-annealing method for grain boundary engineering (GBE) of the LPBF AlSi10Mg alloy. In particular, this study shows a significant increase in the population of coincidence site lattice boundaries (CSL), which embody the symmetry of the crystal lattice structure. These boundaries, which are characterised by a high degree of symmetry, contribute to their special properties compared to random grain boundaries. The experimental results emphasise the crucial role of strain-induced boundary migration (SIBM) in the development of a brass texture in the microstructure of the alloy after annealing. In addition, the presented results demonstrate the feasibility of applying GBE to materials with high stacking fault energy (SFE), which opens up new possibilities for optimizing their properties.
Sideritis royoi (Lamiaceae): A New Orophilous Species from Northeastern Spain
Authors: Sáez Llorenç , Curto Rafel , Crespo Manuel B.
Published: January 2024

Sideritis royoi is found in the rocky limestone habitats of the Port Massif (southern Catalonia, Spain). The species was first collected by the local botanist Lluís de Torres in the late part of the 20th century, but the specimens have remained unidentified positively in herbaria for over 40 years. Sideritis royoi likely belongs to section Sideritis subsection Hyssopifoliae and shows some morphological affinities with the relatively widespread South European species S. hyssopifolia L., but it differs from this species because it has subspinescent upper leaves, the main surfaces of its leaves are glabrous or glabrescent, the main abaxial surface of its bracts is without eglandular hairs, and due to the fact that it has shorter inflorescences. Weaker similarities have also been observed with some species belonging to S. subsection Fruticulosae Obón & D.Rivera. In this paper, a description for the new orophilous species is provided, along with a detailed illustration, field photographs, and a comparison with closely related species. We include an assessment of its conservation status and a dichotomous key for the identification of all the species of Sideritis subsection Hyssopifoliae.
Correction: Tsakalidis et al. Design and Implementation of a Versatile OpenHAB IoT Testbed with a Variety of Wireless Interfaces and Sensors. Telecom 2023, 4, 597–610
Authors: Tsakalidis Sotirios , Tsoulos George , Kontaxis Dimitrios , Athanasiadou Georgia
Published: January 2024

There was an error in the original publication [...]
Epidemiology of Hemorrhagic Fever with Renal Syndrome and Host Surveillance in Zhejiang Province, China, 1990–2021
Authors: Su Fan , Liu Ying , Ling Feng , Zhang Rong , Wang Zhen , Sun Jimin
Published: January 2024

Hemorrhagic fever with renal syndrome (HFRS) is caused by hantaviruses (HVs) and is endemic in Zhejiang Province, China. In this study, we aimed to explore the changing epidemiology of HFRS cases and the dynamics of hantavirus hosts in Zhejiang Province. Joinpoint regression was used to analyze long-term trends in the incidence of HFRS. The comparison of animal density at different stages was conducted using the Mann–Whitney Test. A comparison of HV carriage rates between stages and species was performed using the chi-square test. The incidence of HFRS shows a continuous downward trend. Cases are widely distributed in all counties of Zhejiang Province except Shengsi County. There was a high incidence belt from west to east, with low incidence in the south and north. The HFRS epidemic showed two seasonal peaks in Zhejiang Province, which were winter and summer. It showed a marked increase in the age of the incidence population. A total of 23,073 minibeasts from 21 species were captured. Positive results were detected in the lung tissues of 14 rodent species and 1 shrew species. A total of 80% of the positive results were from striped field mice and brown rats. No difference in HV carriage rates between striped field mice and brown rats was observed (χ2 = 0.258, p = 0.611).
Reply to Piewbang et al. Domestic Cat Hepadnavirus Antigens in Lymphoma Tissues. Comment on “Beatty et al. Domestic Cat Hepadnavirus and Lymphoma. Viruses 2023, 15, 2294”
Authors: Beatty Julia A. , Tu Thomas , Pesavento Patricia A. , Cavasin Joao P. , Chen Min-Chun , Lidbury Jonathan A. , Steiner Joerg M. , Barrs Vanessa R. , Cullen John M.
Published: January 2024

We are grateful to the authors for providing additional data to demonstrate the presence of domestic cat hepadnavirus in lymphoma tissues [...]
Long-Term Assessment of Antibody Response to COVID-19 Vaccination in People with Cystic Fibrosis and Solid Organ Transplantation
Authors: Fuchs Teresa , Appelt Dorothea , Ellemunter Helmut
Published: January 2024

With the worldwide spread of SARS-CoV-2 disease, people with cystic fibrosis (CF), especially solid organ transplant recipients, have quickly been identified as a risk group for severe disease. Studies have shown low antibody response to SARS-CoV-2 vaccines in recipients of solid organ transplant compared to the healthy population. Information on immune response in CF patients with solid organ transplantation is limited, especially regarding long-term efficacy. The aim of this real-world study was a long-term assessment of humoral immune response induced by three and four doses of the SARS-CoV-2 mRNA vaccine. S1RBD and IgG antibodies were measured every 12 weeks over a period of 27 months in twelve CF patients (five liver and seven lung transplantation recipients). A total of 83.3% of our patients showed a positive antibody response after three doses of the SARS-CoV-2 mRNA vaccine. A sustained immune response was observed in both groups over the observation period, with liver transplant recipients showing higher levels than lung transplant recipients. This study is among the first to show long-term data with constantly elevated or even increasing antibody levels. We conclude that this effect is most likely associated with repeated boostering in terms of infections and booster vaccinations.
Microbiome Responses to Oral Fecal Microbiota Transplantation in a Cohort of Domestic Dogs
Authors: Rojas Connie A. , Entrolezo Zhandra , Jarett Jessica K. , Jospin Guillaume , Martin Alex , Ganz Holly H.
Published: January 2024

Fecal microbiota transplants (FMTs) have been successful at treating digestive and skin conditions in dogs. The degree to which the microbiome is impacted by FMT in a cohort of dogs has not been thoroughly investigated. Using 16S rRNA gene sequencing, we document the changes in the microbiome of fifty-four dogs that took capsules of lyophilized fecal material for their chronic diarrhea, vomiting, or constipation. We found that the relative abundances of five bacterial genera (Butyricicoccus, Faecalibacterium, Fusobacterium, Megamonas, and Sutterella) were higher after FMT than before FMT. Fecal microbiome alpha- and beta-diversity were correlated with kibble and raw food consumption, and prior antibiotic use. On average, 18% of the stool donor’s bacterial amplicon sequence variants (ASVs) engrafted in the FMT recipient, with certain bacterial taxa like Bacteroides spp., Fusobacterium spp., and Lachnoclostridium spp. engrafting more frequently than others. Lastly, analyses indicated that the degree of overlap between the donor bacteria and the community of microbes already established in the FMT recipient likely impacts engraftment. Collectively, our work provides further insight into the microbiome and engraftment dynamics of dogs before and after taking oral FMTs.
Speech Intelligibility versus Congruency: User Preferences of the Acoustics of Virtual Reality Game Spaces
Authors: Popp Constantin , Murphy Damian T.
Published: January 2024

3D audio spatializers for Virtual Reality (VR) can use the acoustic properties of the surfaces of a visualised game space to calculate a matching reverb. However, this approach could lead to reverbs that impair the tasks performed in such a space, such as listening to speech-based audio. Sound designers would then have to alter the room’s acoustic properties independently of its visualisation to improve speech intelligibility, causing audio-visual incongruency. As user expectation of simulated room acoustics regarding speech intelligibility in VR has not been studied, this study asked participants to rate the congruency of reverbs and their visualisations in 6-DoF VR while listening to speech-based audio. The participants compared unaltered, matching reverbs with sound-designed, mismatching reverbs. The latter feature improved D50s and reduced RT60s at the cost of lower audio-visual congruency. Results suggest participants preferred improved reverbs only when the unaltered reverbs had comparatively low D50s or excessive ringing. Otherwise, too dry or too reverberant reverbs were disliked. The range of expected RT60s depended on the surface visualisation. Differences in timbre between the reverbs may not affect preferences as strongly as shorter RT60s. Therefore, sound designers can intervene and prioritise speech intelligibility over audio-visual congruency in acoustically challenging game spaces.
Algal Decomposition Accelerates Denitrification as Evidenced by the High-Resolution Distribution of Nitrogen Fractions in the Sediment–Water Interface of Eutrophic Lakes
Authors: Yao Yu , Chen Ying , Han Ruiming , Chen Desheng , Ma Huanxin , Han Xiaoxiang , Feng Yuqi , Shi Chenfei
Published: January 2024

This study investigates the decomposition process of algal blooms (ABs) in eutrophic lakes and its impact on the labile endogenous nitrogen (N) cycle. In situ techniques such as diffusive gradients in thin films (DGT) and high-resolution dialysis (HR-Peeper) were employed to decipher the vertical distribution of N fractions within the sediment–water interface (SWI) in Taihu, China. Additionally, an annular flume was used to simulate regional differences in lake conditions and understand labile nitrogen transformation during AB decomposition. This study reveals that the NH4+-N fraction exuded from algae is subsequently converted into NO3-N and NO2-N through nitrification, resulting in a significant increase in the concentrations of NO3−-N and NO2−-N at the SWI. The decomposition of algae also induces a significant increase in dissolved organic matter (DOM) concentration, referring to humic acid and humus-like components; a seven-millimeter decrease in dissolved oxygen (DO) penetration depth; as well as a significant decrease in the pH value near the SWI, which consequently promotes denitrification processes in the sediment. Moreover, the decomposition process influences nitrogen distribution patterns and the role conversion of sediments between a “source” and a “sink” of nitrogen. This investigation provides evidence on the migration and/or transformation of N fractions and offers insights into the dynamic processes across the SWI in eutrophic lakes.
A Numerical Investigation of the Nonlinear Flow and Heat Transfer Mechanism in Rough Fractured Rock Accounting for Fluid Phase Transition Effects
Authors: Liu Xianshan , Luo Xiaolei , Liu Shaowei , Zhang Pugang , Li Man , Pan Yuhua
Published: January 2024

The study of the seepage and heat transfer law of three-dimensional rough fractures is of great significance in improving the heat extraction efficiency of underground thermal reservoirs. However, the phase transition effects of fluids during the thermal exploitation process profoundly influence the intrinsic mechanisms of fracture seepage and heat transfer. Based on the FLUENT 2020 software, single-phase and multiphase heat–flow coupling models were established, and the alterations stemming from the phase transition in seepage and heat transfer mechanisms were dissected. The results indicate that, without considering phase transition, the geometric morphology of the fractures controlled the distribution of local heat transfer coefficients, the magnitude of which was influenced by different boundary conditions. Moreover, based on the Forchheimer formula, it was found that the heat transfer process affects nonlinear seepage behavior significantly. After considering the phase transition, the fluid exhibited characteristics similar to shear-diluted fluids and, under the same pressure gradient, the increment of flow rate was higher than the increment in the linearly increasing scenario. In the heat transfer process, the gas volume percentage played a dominant role, causing the local heat transfer coefficient to decrease with the increase in gas content. Therefore, considering fluid phase transition can more accurately reveal seepage characteristics and the evolution law.
RESULTS OF COMPARATIVE RESOURCE TESTS OF INSULATION SYSTEMS OF HEAT RESISTANCE CLASS H (180°C) OF TRACTION ENGINES OF ELECTRIC LOCOMOTIVES USING POLYESTHERKETONE AND POLYIMIDE FILMS
Authors: Papkov Andrey , Luchko Dmitry
Published: January 2024

The operation of electric locomotive traction motors in conditions of constantly increasing temperature and humidity naturally leads to a decrease in the resistance of the body insulation of the coils of the main and auxiliary poles, which then leads to insulation breakdown and engine failure. In the general statistics on TED breakdowns, the percentage of failure due to low insulation resistance is up to 30%.

Manufacturers of electrical insulation are constantly working to increase its reliability, using modern systems of polymer materials for this purpose. This article provides a brief description of the insulation systems of traction electric motors of heat resistance class H (180 °C) based on polyethyrketone and polyimide films. The main normative documents on the basis of which the assessment of insulation characteristics was carried out are indicated. Insulating tapes based on fiberglass and mica, mass-produced by ZEIM Elinar LLC, were used as objects of research. The methods are given, the equipment and the main results of resource tests of various insulation systems are indicated. According to the test results, it is shown that the system based on a polyester ketone film is in no way inferior in terms of heat resistance to a system based on a polyimide film.
STUDY OF EFFECIENCY OF HEAT TRASFER AND OPERATION OF AN EXCAVATOR HYDRAULIC DRIVE WHEN USING REGENERATED OIL
Authors: Korochkina Elena , Pahotina Irina
Published: January 2024

This article discusses the technique of optimizing the desing of the exchanger for cooling the working fluid of the hydraulic drive of road-building machines on the example of excavator. The authors analyzed the effect jf the oil regeneration process on the operation of the excavator’s hydraulic system and the effect of regenerated oil on the operation of the regenerated oil on the operation of the excavator’s hydraulic drive heat exchanger, which serves to cool the excavator’s working fluid. The regeneration of used oils is one of the most promising ways to save lubrications, as well protect the environment from getting into it both directly oils and combustion products during their disposal. Unlike oil liquid fuels, waste oils do not evaporate and are less susceptible to biodegradation. At the present stage of development of the human community, there is still no objective possibility of creating a waste-free system for ensuring its vilal activity. However, the organization of rational use of natural resources is quite possible. One of the ways to solve this problem is to develop new and improve existing technologies for the conversion of raw materials, in particular, the regeneration of used oils. Up to 15 liters of oil circulates in the hydraulic system. The price of oil is quite high. Therefore, it is advisable to use regenerated oil from resources and improving the ecological situation.
L'Union européenne, demos et légitimité : de l'Etat-nation à la Multination
Authors: Pierré-Caps Stéphane
Published: January 2024

L 'existence d'un corps politique européen pose au préalable la question de la légitimité de l 'Union européenne, à laquelle semble s 'opposer l 'association de la nation et de l 'Etat cimentée par le principe dogmatique de la souveraineté de l 'Etat. Une fois attestée l 'inexistence de la souveraineté de l 'Etat -notion plus sociologique que juridique, conceptuellement liée au substrat humain de l 'Etat, c 'est-à-dire à la nation -et, partant, la dissociation de l'État-nation, il devient alors possible d'établir la légitimation nationale du corps politique européen, la nation apparaissant à la fois comme une réalité sociale autant que juridique. De la convergence des pouvoirs constituants nationaux procède la Multination, expression de la dualité constitutive du corps politique européen, où les réalités culturelles nationales confient à la société politique englobante la préservation de leur destin collectif.
Le Québec et le Canada à la croisée des chemins : une nation dans la nation
Authors: Seymour Michel
Published: January 2024

Je montre qu'il existe plusieurs concepts de nation et je défends un certain pluralisme conceptuel. Je montre également qu'une population dans son ensemble ne peut constituer une nation si elle n'a pas de conscience nationale. Je défends en outre un principe de tolérance. Je tente ensuite d'être attentif aux relations complexes qui prévalent entre le Québec et le Canada. Je prétends qu'on y trouve des populations qui se représentent différemment en tant que nations et à l'aide de concepts différents. Le Québec prend, en somme, la forme d'une nation dans la nation. Je me demande ensuite en quoi consisterait une reconnaissance de la nation québécoise par les Canadiens. Finalement, je tente d'expliquer les raisons qui incitent une proportion de plus en plus importante de la population du Québec à souscrire au projet de souveraineté politique, accompagné d'une offre de partenariat.