bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Copper Nanoparticles on Neurometabolism Marker Levels in the Brain and Intestine in a Rat Model
Authors: Cendrowska-Pinkosz Monika , Krauze Magdalena , Juśkiewicz Jerzy , Fotschki Bartosz , Ognik Katarzyna
Published: July 2023

The aim of this study is to assess the effect of different forms and dosages of copper on the levels of markers depicting the neurodegenerative changes in the brain and the jejunum. The experiment was performed using 40 male Wistar rats fed a typical rat diet with two dosages of Cu used as CuCO3 (6.5 and 13 mg/kg diet) and dietary addition of two CuNP dosages (standard 6.5 and enhanced 13 mg/kg diet), randomly divided into four groups. The levels of neurodegenerative markers were evaluated. Nanoparticles caused a reduction in the level of glycosylated acetylcholinesterase (GAChE), an increase the level of acetylcholinesterase (AChE) and lipoprotein receptor-related protein 1 (LRP1), a reduction in β-amyloid (βAP) in the brain and in the intestine of rats and a reduction in Tau protein in the brain of rats. The highest levels of AChE, the ATP-binding cassette transporters (ABC) and LRP1 and lower levels of toxic GAChE, β-amyloid, Tau, hyper-phosphorylated Tau protein (p-Tau) and the complex of calmodulin and Ca2+ (CAMK2a) were recorded in the tissues of rats receiving a standard dose of Cu. The neuroprotective effect of Cu can be increased by replacing the carbonate form with nanoparticles and there is no need to increase the dose of copper.
Comparative Transcriptomics of Multi-Stress Responses in Pachycladon cheesemanii and Arabidopsis thaliana
Authors: Dong Yanni , Gupta Saurabh , Wargent Jason J. , Putterill Joanna , Macknight Richard C. , Gechev Tsanko S. , Mueller-Roeber Bernd , Dijkwel Paul P.
Published: July 2023

The environment is seldom optimal for plant growth and changes in abiotic and biotic signals, including temperature, water availability, radiation and pests, induce plant responses to optimise survival. The New Zealand native plant species and close relative to Arabidopsis thaliana, Pachycladon cheesemanii, grows under environmental conditions that are unsustainable for many plant species. Here, we compare the responses of both species to different stressors (low temperature, salt and UV-B radiation) to help understand how P. cheesemanii can grow in such harsh environments. The stress transcriptomes were determined and comparative transcriptome and network analyses discovered similar and unique responses within species, and between the two plant species. A number of widely studied plant stress processes were highly conserved in A. thaliana and P. cheesemanii. However, in response to cold stress, Gene Ontology terms related to glycosinolate metabolism were only enriched in P. cheesemanii. Salt stress was associated with alteration of the cuticle and proline biosynthesis in A. thaliana and P. cheesemanii, respectively. Anthocyanin production may be a more important strategy to contribute to the UV-B radiation tolerance in P. cheesemanii. These results allowed us to define broad stress response pathways in A. thaliana and P. cheesemanii and suggested that regulation of glycosinolate, proline and anthocyanin metabolism are strategies that help mitigate environmental stress.
Increased Neutrophil Percentage and Neutrophil–T Cell Ratio Precedes Clinical Onset of Experimental Cerebral Malaria
Authors: Freire-Antunes Lucas , Ornellas-Garcia Uyla , Rangel-Ferreira Marcos Vinicius , Ribeiro-Almeida Mônica Lucas , de Sousa Carina Heusner Gonçalves , Carvalho Leonardo José de Moura , Daniel-Ribeiro Cláudio Tadeu , Ribeiro-Gomes Flávia Lima
Published: July 2023

Newly emerging data suggest that several neutrophil defense mechanisms may play a role in both aggravating and protecting against malaria. These exciting findings suggest that the balance of these cells in the host body may have an impact on the pathogenesis of malaria. To fully understand the role of neutrophils in severe forms of malaria, such as cerebral malaria (CM), it is critical to gain a comprehensive understanding of their behavior and functions. This study investigated the dynamics of neutrophil and T cell responses in C57BL/6 and BALB/c mice infected with Plasmodium berghei ANKA, murine models of experimental cerebral malaria (ECM) and non-cerebral experimental malaria, respectively. The results demonstrated an increase in neutrophil percentage and neutrophil–T cell ratios in the spleen and blood before the development of clinical signs of ECM, which is a phenomenon not observed in the non-susceptible model of cerebral malaria. Furthermore, despite the development of distinct forms of malaria in the two strains of infected animals, parasitemia levels showed equivalent increases throughout the infection period evaluated. These findings suggest that the neutrophil percentage and neutrophil–T cell ratios may be valuable predictive tools for assessing the dynamics and composition of immune responses involved in the determinism of ECM development, thus contributing to the advancing of our understanding of its pathogenesis.
Photomorphogenesis and Photosynthetic Traits Changes in Rice Seedlings Responding to Red and Blue Light
Authors: Ren Maofei , Liu Shanzhen , Tang Chengzhu , Mao Guiling , Gai Panpan , Guo Xiaoli , Zheng Huabin , Tang Qiyuan
Published: July 2023

The purpose of this study is to determine the effects of red and blue lights on the photomorphogenesis and photosynthetic traits of rice seedlings. The rice seedlings were cultured with red light (R), blue light (B), combined red and blue lights (R3B1/R1B1/R1B3), and white light (CK) as the control. The combined application of red and blue lights could promote the growth of rice seedlings to varying degrees; enhance photosynthesis by increasing the seedling leaf area, chlorophyll content, and chlorophyll fluorescence; improve root characteristics by increasing root number, root volume, and root activity; and thus increase the dry matter accumulation of rice seedlings. In addition, the combination of red and blue lights could regulate the expression of genes related to photosynthesis in rice leaves, affect the activity of the Rubisco enzyme, and then affect the photosynthesis of rice seedlings. These results indicate that red and blue lights have direct synergistic effects, which can regulate the growth of rice seedlings and promote the morphogenesis of rice seedlings. The combined application of red and blue lights can be used to supplement the light in rice-factory seedling raising.
Reductive Fractionation of Flax Shives in Ethanol Medium over RuNi Bimetallic Catalysts
Authors: Miroshnikova Angelina V. , Sychev Valentin V. , Tarabanko Valery E. , Kazachenko Aleksandr S. , Skripnikov Andrey M. , Eremina Anna O. , Kosivtsov Yuriy , Taran Oxana P.
Published: July 2023

The reductive catalytic fractionation of flax shives in the presence of bimetallic NiRu catalysts supported on oxidized carbon materials (CM) such as mesoporous Sibunit and carbon mesostructured by KAIST (CMK-3) was studied. The catalysts based on CMK-3 were characterized by a higher surface area (1216 m2/g) compared to the ones based on Sibunit (315 m2/g). The catalyst supported on CMK-3 (10Ni3RuC400) was characterized by a more uniform distribution of Ni particles, in contrast to the Sibunit-based catalyst (10Ni3RuS450), on the surface of which large agglomerated particles (300–400 nm) were presented. The bimetallic catalysts were found to be more selective towards propanol-substituted methoxyphenols compared to monometallic Ru/C and Ni/C catalysts. A high yield of monomers (up to 26 wt%, including 17% 4-propanol guaiacol) was obtained in the presence of a 10Ni3RuC400 catalyst based on CMK-3.
Imaging Predictors of Left Ventricular Functional Recovery after Reperfusion Therapy of ST-Elevation Myocardial Infarction Assessed by Cardiac Magnetic Resonance
Authors: Virbickiene Agneta , Lapinskas Tomas , Garlichs Christoph D. , Mattecka Stephan , Tanacli Radu , Ries Wolfgang , Torzewski Jan , Heigl Franz , Pfluecke Christian , Darius Harald , Ince Hueseyin , Nordbeck Peter , Butter Christian , Schuster Andreas , Mitzner Steffen , Dobiliene Olivija , Sheriff Ahmed , Kelle Sebastian
Published: July 2023

Background: Left ventricular global longitudinal strain (LV GLS) is a superior predictor of adverse cardiac events in patients with myocardial infarction and heart failure. We investigated the ability of morphological features of infarcted myocardium to detect acute left ventricular (LV) dysfunction and predict LV functional recovery after three months in patients with acute ST-segment elevation myocardial infarction (STEMI). Methods: Sixty-six STEMI patients were included in the C-reactive protein (CRP) apheresis in Acute Myocardial Infarction Study (CAMI-1). LV ejection fraction (LVEF), LV GLS, LV global circumferential strain (LV GCS), infarct size (IS), area-at-risk (AAR), and myocardial salvage index (MSI) were assessed by CMR 5 ± 3 days (baseline) and 12 ± 2 weeks after (follow-up) the diagnosis of first acute STEMI. Results: Significant changes in myocardial injury parameters were identified after 12 weeks of STEMI diagnosis. IS decreased from 23.59 ± 11.69% at baseline to 18.29 ± 8.32% at follow-up (p < 0.001). AAR and MVO also significantly reduced after 12 weeks. At baseline, there were reasonably moderate correlations between IS and LVEF (r = −0.479, p < 0.001), LV GLS (r = 0.441, p < 0.001) and LV GCS (r = 0.396, p = 0.001) as well as between AAR and LVEF (r = −0.430, p = 0.003), LV GLS (r = 0.501, p < 0.001) and weak with LV GCS (r = 0.342, p = 0.020). At follow-up, only MSI and change in LV GCS over time showed a weak but significant correlation (r = −0.347, p = 0.021). Patients with larger AAR at baseline improved more in LVEF (p = 0.019) and LV GLS (p = 0.020) but not in LV GCS. Conclusion: The CMR tissue characteristics of myocardial injury correlate with the magnitude of LV dysfunction during the acute stage of STEMI. AAR predicts improvement in LVEF and LV GLS, while MSI is a sensitive marker of LV GCS recovery at three months follow-up after STEMI.
Tool Wear Monitoring with Artificial Intelligence Methods: A Review
Authors: Munaro Roberto , Attanasio Aldo , Del Prete Antonio
Published: July 2023

Tool wear is one of the main issues encountered in the manufacturing industry during machining operations. In traditional machining for chip removal, it is necessary to know the wear of the tool since the modification of the geometric characteristics of the cutting edge makes it unable to guarantee the quality required during machining. Knowing and measuring the wear of tools is possible through artificial intelligence (AI), a branch of information technology that, by interpreting the behaviour of the tool, predicts its wear through intelligent systems. AI systems include techniques such as machine learning, deep learning and neural networks, which allow for the study, construction and implementation of algorithms in order to understand, improve and optimize the wear process. The aim of this research work is to provide an overview of the recent years of development of tool wear monitoring through artificial intelligence in the general and essential requirements of offline and online methods. The last few years mainly refer to the last ten years, but with a few exceptions, for a better explanation of the topics covered. Therefore, the review identifies, in addition to the methods, the industrial sector to which the scientific article refers, the type of processing, the material processed, the tool used and the type of wear calculated. Publications are described in accordance with PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols).
Underwater Acoustic Channel Estimation via an Orthogonal Matching Pursuit Algorithm Based on the Modified Phase-Transform-Weighted Function
Authors: Hu Xueru , Zhang Lanyue , Wu Di , Wang Jia
Published: July 2023

In the context of torpedo guidance systems, the performance of active sonar in channel parameter estimation and target detection and recognition is significantly degraded by the multipath effect and the time-varying characteristics of the underwater acoustic (UWA) channel. Therefore, it is urgent to propose an algorithm that can accurately estimate the channel parameters in multipath time-varying UWA channels. To solve these problems, this study developed a modified phase transform (PHAT)-weighted function and applied it to the orthogonal matching pursuit (OMP) algorithm, named M-PHAT-OMP. The proposed algorithm is more robust, improves the resolution of the time delay and further improves the estimation accuracy of the parameters in the case of motion. Furthermore, with the aim of solving the problem of the difficulty that the traditional OMP algorithm has in determining sparsity, this study proposes a joint-threshold method, where the threshold value serves as the condition for terminating the algorithm’s iteration. The simulation results demonstrate that the M-PHAT-OMP algorithm proposed in this study exhibits a superior performance compared to other algorithms, as evidenced by its lower root mean square error (RMSE) for delay. Moreover, the experimental results also validate that the proposed algorithm has superior robustness and resolution of the time delay in practical applications.
Secretome Analysis for a New Strain of the Blackleg Fungus Plenodomus lingam Reveals Candidate Proteins for Effectors and Virulence Factors
Authors: Bouqellah Nahla A. , Elkady Nadia A. , Farag Peter F.
Published: July 2023

The fungal secretome is the main interface for interactions between the pathogen and its host. It includes the most important virulence factors and effector proteins. We integrated different bioinformatic approaches and used the newly drafted genome data of P. lingam isolate CAN1 (blackleg of rapeseed fungus) to predict the secretion of 217 proteins, including many cell-wall-degrading enzymes. All secretory proteins were identified; 85 were classified as CAZyme families and 25 were classified as protease families. Moreover, 49 putative effectors were predicted and identified, where 39 of them possessed at least one conserved domain. Some pectin-degrading enzymes were noticeable as a clustering group according to STRING web analysis. The secretome of P. lingam CAN1 was compared to the other two blackleg fungal species (P. lingam JN3 and P. biglobosus CA1) secretomes and their CAZymes and effectors were identified. Orthologue analysis found that P. lingam CAN1 shared 14 CAZy effectors with other related species. The Pathogen-Host Interaction database (PHI base) classified the effector proteins in several categories where most proteins were assigned as reduced virulence and two of them termed as hypervirulence. Nowadays, in silico approaches can solve many ambiguous issues about the mechanism of pathogenicity between fungi and plant host with well-designed bioinformatics tools.
Carbon-Saving Potential of Urban Parks in the Central Plains City: A High Spatial Resolution Study Using a Forest City, Shangqiu, China, as a Lens
Authors: Gao Jianwei , Han Haiting , Ge Shidong
Published: July 2023

This article investigates the potential for carbon reduction in urban parks in Shangqiu City using high-resolution remote sensing imagery. The aim is to guide modern urban carbon neutrality strategies. The carbon-saving potential is estimated based on the mitigation of the urban heat island effect by park greenery, which reduces energy consumption. Then, the sample parks were divided into different categories, and 16 landscape metrics were selected to analyze their relationship with carbon-saving potential and driving factors. We found that a total of 300.57 t CO2 could be reduced in Shangqiu City parks, and on average, a park could reduce 2.55 ± 0.31 t CO2 (1.79 ± 0.29 t CO2 ha−1) per summer day. The significant effect of landscape patterns on park carbon-saving differs between park categories, which means that park carbon-saving enhancement strategies need to be different for different park categories. Meanwhile, this study implies that the landscape pattern can be designed to enhance the carbon-saving potential of urban parks, which can play a great role in promoting the process of carbon neutrality and mitigating climate change in China.
Reducing Uncertainty and Increasing Confidence in Unsupervised Learning
Authors: Christakis Nicholas , Drikakis Dimitris
Published: July 2023

This paper presents the development of a novel algorithm for unsupervised learning called RUN-ICON (Reduce UNcertainty and Increase CONfidence). The primary objective of the algorithm is to enhance the reliability and confidence of unsupervised clustering. RUN-ICON leverages the K-means++ method to identify the most frequently occurring dominant centres through multiple repetitions. It distinguishes itself from existing K-means variants by introducing novel metrics, such as the Clustering Dominance Index and Uncertainty, instead of relying solely on the Sum of Squared Errors, for identifying the most dominant clusters. The algorithm exhibits notable characteristics such as robustness, high-quality clustering, automation, and flexibility. Extensive testing on diverse data sets with varying characteristics demonstrates its capability to determine the optimal number of clusters under different scenarios. The algorithm will soon be deployed in real-world scenarios, where it will undergo rigorous testing against data sets based on measurements and simulations, further proving its effectiveness.
Research on the Multi-Point Gravity Balance Method for the Large-Aperture Space Camera in the Imaging Quality Test
Authors: Zhang Lihao , An Mingxin , Wang Weilu , Li Xiaobo
Published: July 2023

The large-aperture space camera needs gravity unloading in the ground imaging quality test. The multi-point gravity balance method is mainly applied to the object with symmetrical structure and regular mass distribution, such as the primary mirror of the space camera. There is no relevant research on whether large-aperture space cameras with large weight and low stiffness can be unloaded by a multi-point gravity balance system. Based on the equivalent statically determinate structure and the classical equation of force method, the load-solving method of a multi-point gravity balance system is studied. The mathematical model of a two-point unit and a three-point unit is established with the principle of force balance. The mathematical model of a gravity balance system is built with the unit-grouping principle. A 15-point gravity balance system of a large-aperture space camera is established. The displacements of the mirrors under the multi-point gravity balance system are much smaller than the displacements under the traditional support by the finite element analysis, which can realize the imaging quality test. The multi-point gravity balance method is effective on the space camera imaging quality test.
A Comparative Study on Recent Developments for Individual Rare Earth Elements Separation
Authors: Pathapati Subbu Venkata Satyasri Harsha , Free Michael L. , Sarswat Prashant K.
Published: July 2023

Facilitating the demands of modern society, namely, smartphones, televisions, electric vehicles, and high-stability aircraft structures, requires low-cost and high-performance materials and a corresponding change in the approach needed to design them. Rare earth elements (REEs) play a significant role in achieving these objectives by adding small amounts of these elements to alloys, thereby enhancing material properties. Despite being more abundant than precious metals, the 17 REEs exhibit subtle variations in their chemical and physical characteristics. Thus, their separation is still crucial for industrial applications. There is a corresponding need to develop more effective and efficient separation methods. Adding to the separation challenge is the complexity of the sources of REEs and related materials. Thus, large-scale production of REE materials is difficult. Current REE processing techniques can be categorized into pre-treatment, beneficiation, separation, and refining. Researchers have developed various technologies encompassing chemical, physical, and biological methods, focusing on economic and environmental considerations. However, not all these approaches can be scaled up for mass production. This article focuses on feasible strategies such as precipitation and crystallization, oxidation and reduction, ion exchange, adsorption, solvent extraction, and membrane separation. Further research into these traditional and modern methods can potentially revolutionize the separation dynamics of REEs.
Effectiveness of Adjunctive Hyaluronic Acid Application in Surgical Treatment of Gingival Recession Sites
Authors: Manfredini Mattia , Beretta Mario , Maiorana Carlo , Tandurella Marco , Salina Federica Eugenia , Poli Pier Paolo
Published: July 2023

The aim of this systematic scoping review was to provide scientific evidence on the efficacy and methods of application of hyaluronic acid (HA) in the coverage of gingival recessions in terms of recession depth (RD) reduction, clinical attachment level (CAL) gain and probing depth (PD). An electronic search of the literature on the main databases was conducted. Initially, 405 articles were identified. Finally, four studies were included after the review process. It was not possible to perform a meta-analysis of the articles selected because of the differences among the surgical treatments and commercial formulations and compositions of HA. Both randomized controlled trials in this research examined type 1 gingival recessions treated with a coronally advanced flap. In the selected case series, recessions were treated with either a modified coronally advanced tunnel or laterally closed tunnel combined with a subepithelial connective tissue graft and HA. No significant variation was found in terms of PD. Modifications of CAL are connected to variations of RD; however, RD reduction is similar to the control group. HA seems to improve the clinical outcomes of gingival recession coverage in the short term, but the magnitude is limited. Formulations, surgical techniques and application methods are heterogeneous.
Protecting SOME/IP Communication via Authentication Ticket
Authors: Lee Seulhui , Choi Wonsuk , Lee Dong Hoon
Published: July 2023

Designed using vehicle requirements, Scalable service-Oriented MiddlewarE over IP (SOME/IP) has been adopted and used as one of the Ethernet communication standard protocols in the AUTomotive Open System Architecture (AUTOSAR). However, SOME/IP was designed without considering security, and its vulnerabilities have been demonstrated through research. In this paper, we propose a SOME/IP communication protection method using an authentication server (AS) and tickets to mitigate the infamous SOME/IP man-in-the-middle (MITM) attack. Reliable communication between the service-providing node and the node using SOME/IP communication is possible through the ticket issued from the authentication server. This method is relatively light in operation at each node, has good scalability for changes such as node addition, guarantees freshness, and provides interoperability with the existing SOME/IP protocol.
A Dynamical Systems Approach to Characterizing Brain–Body Interactions during Movement: Challenges, Interpretations, and Recommendations
Authors: Monroe Derek C. , Berry Nathaniel T. , Fino Peter C. , Rhea Christopher K.
Published: July 2023

Brain–body interactions (BBIs) have been the focus of intense scrutiny since the inception of the scientific method, playing a foundational role in the earliest debates over the philosophy of science. Contemporary investigations of BBIs to elucidate the neural principles of motor control have benefited from advances in neuroimaging, device engineering, and signal processing. However, these studies generally suffer from two major limitations. First, they rely on interpretations of ‘brain’ activity that are behavioral in nature, rather than neuroanatomical or biophysical. Second, they employ methodological approaches that are inconsistent with a dynamical systems approach to neuromotor control. These limitations represent a fundamental challenge to the use of BBIs for answering basic and applied research questions in neuroimaging and neurorehabilitation. Thus, this review is written as a tutorial to address both limitations for those interested in studying BBIs through a dynamical systems lens. First, we outline current best practices for acquiring, interpreting, and cleaning scalp-measured electroencephalography (EEG) acquired during whole-body movement. Second, we discuss historical and current theories for modeling EEG and kinematic data as dynamical systems. Third, we provide worked examples from both canonical model systems and from empirical EEG and kinematic data collected from two subjects during an overground walking task.
Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm
Authors: Liang Liyan , Zhang Qian , Zhou Jie , Li Wenyu , Gao Xiaorong
Published: July 2023

Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) systems have been extensively researched over the past two decades, and multiple sets of standard datasets have been published and widely used. However, there are differences in sample distribution and collection equipment across different datasets, and there is a lack of a unified evaluation method. Most new SSVEP decoding algorithms are tested based on self-collected data or offline performance verification using one or two previous datasets, which can lead to performance differences when used in actual application scenarios. To address these issues, this paper proposed a SSVEP dataset evaluation method and analyzed six datasets with frequency and phase modulation paradigms to form an SSVEP algorithm evaluation dataset system. Finally, based on the above datasets, performance tests were carried out on the four existing SSVEP decoding algorithms. The findings reveal that the performance of the same algorithm varies significantly when tested on diverse datasets. Substantial performance variations were observed among subjects, ranging from the best-performing to the worst-performing. The above results demonstrate that the SSVEP dataset evaluation method can integrate six datasets to form a SSVEP algorithm performance testing dataset system. This system can test and verify the SSVEP decoding algorithm from different perspectives such as different subjects, different environments, and different equipment, which is helpful for the research of new SSVEP decoding algorithms and has significant reference value for other BCI application fields.
Speckle Vibrometry for Instantaneous Heart Rate Monitoring
Authors: Que Shuhao , van Meulen Fokke , Verkruijsse Willem , van Gastel Mark , Overeem Sebastiaan , Zinger Sveta , Stuijk Sander
Published: July 2023

Instantaneous heart rate (IHR) has been investigated for sleep applications, such as sleep apnea detection and sleep staging. To ensure the comfort of the patient during sleep, it is desirable for IHR to be measured in a contact-free fashion. In this work, we use speckle vibrometry (SV) to perform on-skin and on-textile IHR monitoring in a sleep setting. Minute motions on the laser-illuminated surface can be captured by a defocused camera, enabling the detection of cardiac motions even on textiles. We investigate supine, lateral, and prone sleeping positions. Based on Bland–Altman analysis between SV cardiac measurements and electrocardiogram (ECG), with respect to each position, we achieve the best limits of agreement with ECG values of [−8.65, 7.79] bpm, [−9.79, 9.25] bpm, and [−10.81, 10.23] bpm, respectively. The results indicate the potential of using speckle vibrometry as a contact-free monitoring method for instantaneous heart rate in a setting where the participant is allowed to rest in a spontaneous position while covered by textile layers.
Metrological Qualification of PD Analysers for Insulation Diagnosis of HVDC and HVAC Grids
Authors: Garnacho Fernando , Álvarez Fernando , Elg Alf-Peter , Mier Christian , Lahti Kari , Khamlichi Abderrahim , Arcones Eduardo , Klüss Joni , Rodrigo Mor Armando , Pakonen Pertti , Vidal José Ramón , Camuñas Álvaro , Rovira Jorge , Vera Carlos , Haider Miran
Published: July 2023

On-site partial discharge (PD) measurements have turned out to be a very efficient technique for determining the insulation condition in high-voltage electrical grids (AIS, cable systems, GIS, HVDC converters, etc.); however, there is not any standardised procedure for determining the performances of PD measuring systems. In on-line and on-site PD measurements, high-frequency current transformers (HFCTs) are commonly used as sensors as they allow for monitoring over long distances in high-voltage installations. To ensure the required performances, a metrological qualification of the PD analysers by applying an evaluation procedure is necessary. A novel evaluation procedure was established to specify the quantities to be measured (electrical charge and PD repetition rate) and to describe the evaluation tests considering the measured influence parameters: noise, charge amplitude, pulse width and time interval between consecutive pulses. This procedure was applied to different types of PD analysers used for off-line measurements, sporadic on-line measurements and continuous PD monitoring. The procedure was validated in a round-robin test involving two metrological institutes (RISE from Sweden and FFII from Spain) and three universities (TUDelft from the Netherlands, TAU from Finland and UPM from Spain). With this round-robin test, the effectiveness of the proposed qualification procedure for discriminating between efficient and inappropriate PD analysers was demonstrated. Furthermore, it was shown that the PD charge quantity can be properly determined for on-line measurements and continuous monitoring by integrating the pulse signals acquired with HFCT sensors. In this case, these sensors must have a flat frequency spectrum in the range between several tens of kHz and at least two tens of MHz, where the frequency pulse content is more significant. The proposed qualification procedure can be useful for improving the future versions of the technical specification TS IEC 62478 and the standard IEC 60270.
Removal of Indium Ions from Aqueous Solutions Using Hydroxyapatite and Its Two Modifications
Authors: Zinicovscaia Inga , Yushin Nikita , Humelnicu Doina , Ignat Maria , Humelnicu Ionel , Grozdov Dmitrii , Vershinina Tatyana
Published: July 2023

Hydroxyapatite (HAP) coupled with its two modifications HAP P123 and HAP F127 were applied for indium removal from aqueous solutions. Adsorbents’ abilities to remove indium ions were assessed in relation to pH, time of contact, indium concentration, temperature, and presence of co-existing ions. Adsorption was discovered to be pH-dependent for all sorbents, with maximum indium ion removal at pH 4.0. Both the Langmuir and the Freundlich isotherm models were used to explain the experimental results. For all adsorbents, the Freundlich isotherm provided a better description of the equilibrium of the sorption. The sorption capacity computed from the Langmuir model changed from 10,799 mg/g for HAP F127 to 11071 mg/g for HAP. A number of models were used to describe the adsorption’s kinetics. The adsorption of indium on HAP was better described by the pseudo-second-order model, on HAP P123 by the pseudo-first-order model, and on HAP F127 by the Elovich model. Thermodynamic parameters showed that indium ions’ adsorption onto HAP adsorbents was a feasible, spontaneous, and exothermic process. The effectiveness of indium removal by the examined adsorbents was unaffected by the presence of other metal ions in the solutions. ORCA quantum chemistry software was used to theoretically examine the interactions between the surfaces of adsorbents and the indium ions. High desorption efficiency showed that the applied adsorbents can be used for manifold wastewater treatment.
Compliance Checking on Topological Spatial Relationships of Building Elements Based on Building Information Models and Ontology
Authors: Zhao Xuefeng , Huang Lingli , Sun Zhe , Fan Xiongtao , Zhang Meng
Published: July 2023

Compliance checking on the topological spatial relationships of building elements is vital for ensuring the safety and the quality of buildings. However, the complex topological spatial relationships of buildings are not usually expressed in the design scheme directly. Manual checking is still needed to analyze the design scheme and extract the spatial relationships. Such manual checking is always time consuming and prone to error. Therefore, this study has proposed a compliance checking method based on a building information model (BIM) and building ontologies for the automatic checking of topological spatial relationships. Firstly, the topological spatial relationships are well captured and represented according to the location relation of building elements. The checking rules are further established based on regulations. Then, the design information is extracted from the design model, mainly including the location information of building elements. Next, the review ontology is developed, and the design information is organized based on the ontology. Finally, the checking is completed based on the ontology and checking rules. The authors have validated the proposed method through a case study. The results show that the proposed method could help to achieve automatic compliance checking on topological spatial relationships of building elements.
FPGA-Based Implementation of a New 3-D Multistable Chaotic Jerk System with Two Unstable Balance Points
Authors: Vaidyanathan Sundarapandian , Tlelo-Cuautle Esteban , Benkouider Khaled , Sambas Aceng , Ovilla-Martínez Brisbane
Published: July 2023

Mechanical jerk systems have applications in several areas, such as oscillators, microcontrollers, circuits, memristors, encryption, etc. This research manuscript reports a new 3-D chaotic jerk system with two unstable balance points. It is shown that the proposed mechanical jerk system exhibits multistability with coexisting chaotic attractors for the same set of system constants but for different initial states. A bifurcation analysis of the proposed mechanical jerk system is presented to highlight the special properties of the system with respect to the variation of system constants. A field-programmable gate array (FPGA) implementation of the proposed mechanical jerk system is given by synthesizing the discrete equations that are obtained by applying one-step numerical methods. The hardware resources are reduced by performing pipeline operations, and, finally, the paper concludes that the experimental results of the proposed mechanical jerk system using FPGA-based design show good agreement with the MATLAB simulations of the same system.
Correction: Goodman et al. Human Papillomavirus Vaccine Impact and Effectiveness in Six High-Risk Populations: A Systematic Literature Review. Vaccines 2022, 10, 1543
Authors: Goodman Elizabeth , Reuschenbach Miriam , Kaminski Allysen , Ronnebaum Sarah
Published: July 2023

The authors wish to make the following corrections to this paper [...]
Impact of the COVID-19 Pandemic on Mental Health among Patients with Chronic Ocular Conditions
Authors: Bouhout Soumaya , Hébert Mélanie , Jakubowska Weronika , Jaworski Laurence , Freeman Ellen E. , Aubin Marie-Josée
Published: July 2023

The COVID-19 pandemic had significant impacts on the mental and visual health of patients. This cross-sectional, survey-based, multicentric study evaluates the state of mental and visual health among patients with chronic ocular diseases such as glaucoma, neovascular age-related macular degeneration, diabetic retinopathy, or chronic uveitis during the lockdown period of the COVID-19 pandemic. Mental health was assessed using three questionnaires: the Patient Health Questionnaire-9 (PHQ-9), the Impact of Event Scale-Revised (IES-R), and the National Eye Institute Visual Function Questionnaire-25 (VFQ-25). A total of 145 patients completed the questionnaires. The PHQ-9 showed that most respondents (n = 89, 61%) had none or minimal depressive symptoms, while 31 (21%) had mild depressive symptoms, 19 (13%) had moderate depressive symptoms, 5 (3%) had moderately severe depressive symptoms, and 1 (1%) had severe depressive symptoms. Regarding stress surrounding the pandemic, the median IES-R showed mild distress in 16 (11%), moderate distress in 7 (5%), and severe distress in 4 (3%). The COVID-19 pandemic lockdowns had a negative impact on patients’ mental health with close to 20% of the patients reporting at least moderately depressive symptoms and 19% reporting at least mildly distressful symptoms.
Closing the Loop on Food Waste: Stakeholder Views and Experiences from Southeast Queensland, Australia
Authors: Zatyko Nikita , Caldera Savindi , Desha Cheryl
Published: July 2023

Every year in Australia, the household, commercial and industry sectors generate more than five million tonnes of food waste, with the majority of it ending up in landfills that are costly to run and diminishing in availability. There are urgent calls for effective waste management practices to better address the challenges related to increasing volumes of food waste. This study evaluates potential food waste collection and composting initiatives that will ensure the implementation of the appropriate policies and technologies, and best practice of utilizing food waste as a natural resource. A series of semi-structured interviews were conducted with practitioners from the Southeast Queensland waste industry to gain insights on the challenges and opportunities for implementing a Food Organics, Garden Organics (FOGO) system. The interviews revealed five key themes: levies and taxes, capital investment challenges, lack of capacity, contract inefficiencies, and separate waste streams. Organisations and companies in the waste industry heavily rely on funding in order to technologically advance. There is a divergence of attention between technology and policy. Advancement of technology grows faster than the policies that regulate the appropriate use and level of effectiveness of the introduced technology. Both policy and technological changes need to occur simultaneously for Queensland to evolve and develop a social-economic system that favours a non-wasteful and sustainable future.
Early stages of the formation of axial musculature of the juvenile Russian sturgeon (Acipenser gueldenstaedtii Brandt, 1833)
Authors:   Russian Federal Research Institute of Fisheries and Oceanography (FGBNU “VNIRO”), Russia, Moscow, Nikiforov A.I. , Shishanov G.A. ,   Russian Institute of Integrated Fish Farming — branch of the Federal State Budgetary Scientific Institution All-Russian Institute of Livestock by L.K. Ernst, Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, Russia, Moscow Region, Vorovsky village, Elizarova A.S. ,   Russian Institute of Integrated Fish Farming — branch of the Federal State Budgetary Scientific Institution All-Russian Institute of Livestock by L.K. Ernst, Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst, Russia, Moscow Region, Vorovsky village
Published: July 2023

The purpose of the research was to study the peculiarities of the development of the Russian sturgeon in a specialized fish farm to assess the compliance of the technological conditions of cultivation with the biological needs and physiological characteristics of this type of sturgeon, as well as to ensure the further receipt of highquality fish products. The article considers histogenesis and morphological features of axial musculature of juvenile Russian sturgeon (Acipenser gueldenstaedtii) at the early stages of its formation, aspects of histological structure of musculature in the process of its differentiation into deep (musculus lateralis profundus) and superficial (musculus lateralis superficialis) lateral muscles. The formation and variability in diameter of muscle fibers of various types (oxidative and glycolytic) are discussed. It was found that the main part of the axial musculature is represented by a deep lateral muscle (musculus lateralis profundus). This muscle is formed by typical white (glycolytic) fibers. A smaller part of the axial musculature is represented by red (oxidative) type fibers. The results of the studies indicate the heterogeneity of the studied structures and the uneven period of fiber growth in different parts of the body, a large variability in the diameter of glycolytic fibers in the fingerlings of the Russian sturgeon. Together with the data on the beginning of differentiation of deep and lateral fibers at the age of one month, this allows us to estimate the approximate time of laying the main muscles and pay special attention to nutrition and conditions of fish keeping. The absence of pathologies in the structure and development of muscle fibers suggests that the cultivation of sturgeon fish in a cooling pond on running water is more favorable for the health of fish, unlike farms with closed water supply.
El desempeño docente en la educación básica regular
Authors: Mera Aníbal , Montenegro Miriam Y. , Gonzales Víctor A.
Published: July 2023

El desempeño docente, es un aspecto relevante, en el marco del perfeccionamiento pedagógico, sobre todo, en la educación básica regular. Siempre se ha manifestado que tener buenos docentes en una institución, motiva a los estudiantes a perfeccionar sus habilidades, fundamentándose con una relación directa con los padres de familia. Ante esta situación el objetivo de este estudio radica en analizar el desempeño docente en la educación básica regular. Para ello, se trabajó bajo el diseño de revisión bibliográfica, considerando como principales categorías desempeño docente y educación básica, el análisis se llevó a cabo mediante el enfoque cualitativo. Para la selección de información se consideraron tesis, artículos de fuentes primarias publicados, libros, entre otros. Para finalizar, se tiene el desempeño docente bajo cualquier contexto debe ser monitoreado considerando dos aspectos como lo es la continuidad y la formación integral.
La participación ciudadana en la educación pública
Authors: Llanos Chuquipa Edgar Ney
Published: July 2023

La participación ciudadana en las políticas públicas en los últimos años ha ganado relevancia debido, al rol central que ejerce el estudiante en la mejora de la calidad educativa y su relación con la construcción de una ciudadanía democrática, plural e inclusiva. El estudio tuvo como objetivo analizar la participación ciudadana en la educación pública. Se tuvo en cuenta las bases de datos como Scopus, Redalyc, Scielo, Google académico, y Web of Science en el mundo de los últimos 5 años. Para el desarrollo de la presente investigación se optó por la revisión sistemática, utilizando 50 artículos de diversos países. Dentro de los principales hallazgos se identificó que la participación ciudadana en relación a la comunidad educativa, docente, gestión educativa y participación familiar y ciudadana. Finalmente, se evidenció un incremento de producción científica sobre la participación ciudadana en los últimos años, lo cual sugiere la importancia y relevancia a nivel académico y político de los mecanismos participativos en la construcción de ciudadanía para generar cambios en la sociedad.
Las buenas prácticas del docente en la educación
Authors: Apaza Aparicio Carlos Daniel
Published: July 2023

Los educadores en el desarrollo de sus funciones, deben estar aptos para asumir retos, desarrollándose de manera profesional y personal, cumpliendo las expectativas y necesidades en el estudiante y campo educativo. El objetivo del estudio fue analizar las buenas prácticas del docente en la educación a través de una revisión sistemática. En referencia a la metodología, esta se realizó mediante un análisis de revisión sistemática, considerando 50 artículos. A partir de los resultados infieren que las buenas prácticas pedagógicas favorecen directamente el desarrollo del motor de aprendizaje y que son necesarias en el quehacer educativo. Se concluye que para ejercer buenas prácticas utilizan métodos de enseñanza se deben enfocar en estrategias basados en los medios tecnológicos, recursos didácticos y capacidad del estudiante para mejorar las experiencias educativas.
Chatbot basado en inteligencia artificial para la educación escolar
Authors: Lucana Wehr Yudi Elizabeth , Roldan Baluis Walter Luis
Published: July 2023

El veloz avance de herramientas digitales basadas en inteligencia artificial (IA) facilita la implementación de soluciones innovadoras en la educación escolar. Los adolescentes están afrontando una etapa desafiante y caracterizada por transformaciones aceleradas. Por ello, la motivación primordial del presente trabajo es exhibir los resultados del uso de chatbots. El objetivo de este estudio es identificar las aplicaciones de herramientas inteligentes de chatbots basadas en IA para la educación escolar. La metodología empleada es una revisión sistemática de artículos en el periodo 2020 a 2022, para lo cual se realizó la búsqueda de documentos en las bases de datos Scopus y Scielo. De acuerdo a los criterios de elegibilidad se identificaron ocho trabajos. Los principales hallazgos indican que las soluciones basadas en chatbots podrían fomentar el desarrollo de los adolescentes, así como mejorar el proceso de enseñanza. Se concluye que los resultados tienen efectos positivos en los adolescentes.
Parasitisme et organisation des peuplements d’hôtes : synthèse
Authors: Thomas François , Cézilly Frank , Renaud François
Published: July 2023

Numerous works have illustrated the main role of parasitism in the ecology of host species. In this paper, we overview the major mechanisms by which parasites influence the community structure of host species. Their roles in interspecific competition, predation and colonization processes are envisaged respectively. In order to bring new informations on the prominent role of parasites in the evolution of ecosystems, we propose fields of investigation from interactions between debilitating parasites and predator communities.
A Participatory Approach to FCS Food, Nutrition, and Wellness Program Planning
Authors: Serrano Elena , Powell Alicia , McBride Donna , Strong Kathryn
Published: July 2023

To help fill programming gaps in a more organized and collaborative manner, a participatory approach to program planning was tested in Virginia. Programming gaps related to food, nutrition, and wellness programs were filled through a participatory process that involved: an online needs assessment survey; a systematic review of evidence- and practice-based programs; a webinar providing an overview of possible programs for adoption; a program ranking survey; development of an evaluation template; a training; and feedback survey. Our results indicate that a systematic, team-based approach to program planning may be beneficial in guiding trainings and dissemination of programs within Extension.
Exploring Extension Involvement in Farm to School Program Activities
Authors: Benson Matthew
Published: July 2023

The study reported here examined Extension professionals' involvement in farm-to-school program activities. Results of an online survey distributed to eight state Extension systems indicate that on average, Extension professionals are involved with one farm to school program activity, with most supporting school or community garden programs. Results also indicate that Extension professionals are interested in being involved with an average of four farm to school program activities. Results demonstrate that each Extension program area is currently involved and is interested in supporting farm to school through a variety of different activities.