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Notes on the genus Elegansovella Hirschmann, 1989 (Acari, Mesostigmata, Urodinychidae)

Sergey G. Ermilov Jenő Kontschán Stefan Friedrich

Publication Name: Zookeys

Publication Date: 2024-01-01

Volume: 1205

Issue: Unknown

Page Range: 39-50

Description:

The genus Elegansovella Hirschmann, 1989 (Mesostigmata: Uropodina: Urodinychidae) is resurrected for species of the Uroobovella elegans-group. This genus differs from the other taxa of Uroobovella Berlese, 1903 sensu lato based on the shape of the idiosoma and the caudal and dorsal setae. Three species from the Uroobovella elegans-group are transferred to the genus Elegansovella, as E. pectintata (Hirschmann, 1973), comb. nov., E. pectinatasimilis (Hiramatsu, 1980), comb. nov. and E. serangensis (Hiramatsu, 1980), comb. nov. The other seven species from this species group are transferred to Monstrobovella gen. nov., as M. crustosa (Vitzthum, 1926), comb. nov., M. enodis (Hiramatsu, 1985), comb. nov., M. faceta (Hiramatsu & Hirschmann, 1978), comb. nov., M. facetaoides (Hiramatsu & Hirschmann, 1978), comb. nov., M. imadatei (Hiramatsu, 1980), comb. nov., M. incerta (Hiramatsu & Hirschmann, 1978), comb. nov. and M. incertaoides (Hiramatsu & Hirschmann, 1978), comb. nov. The new genus differs from Elegansovella by the shape of the idiosoma and the shape of marginal and dorsal setae. Six Monstrobovella species occur in the Oriental Realm and only one species is known from the Neotropical region. The present paper contains the description of a second Neotropical species of Monstrobovella (M. mancocapaci sp. nov.) which was found in Peru. The new species differs from its Neotropical congener in the dorsal and marginal setation.

Open Access: Yes

DOI: 10.3897/zookeys.1205.125164

Model Calibration of High Damping Rubber Bearings: A Preliminary Mass Production Reliability Study

Marco Domaneschi Majid Movahedi Rad Raffaele Cucuzza Giuseppe Carlo Marano S. Londoño Lopez

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 389-397

Description:

Over the past decade, Building Isolation Systems (BIS) have gain significant relevance due to their ability to reduce horizontal acceleration and interstory drifts in structures. Since the 1950s, researchers have focused on developing numerical models to simulate the dissipative behavior of High Damping Rubber Bearings (HDRB) in parallel major earthquake events have highlighted the need for BIS devices in medium and large-scale infrastructure, accentuating the need for further research into accurate models and adding the pressing interest in variability of mass-produced HDRB parameters. This study presents initial results from an identification process using two numerical models, validated using experimental tests at the SISMALAB laboratory. The experimental data involved eight samples subjected to compression forces and horizontal displacement. Optimal values were obtained through a Genetic Algorithm optimization process, minimizing discrepancies between experimental and numerical response. Preliminary variability analysis was conducted on data from 20 independent iterations over the eight samples.

Open Access: Yes

DOI: 10.3233/ATDE240571

Exosomal small RNA profiling in first-trimester maternal blood explores early molecular pathways of preterm preeclampsia

Nándor Gábor Than Tamás I. Orbán Sándor Nagy Ábel Fóthi Gergő Orosz Luca Gál

Publication Name: Frontiers in Immunology

Publication Date: 2024-01-01

Volume: 15

Issue: Unknown

Page Range: Unknown

Description:

Introduction: Preeclampsia (PE) is a severe obstetrical syndrome characterized by new-onset hypertension and proteinuria and it is often associated with fetal intrauterine growth restriction (IUGR). PE leads to long-term health complications, so early diagnosis would be crucial for timely prevention. There are multiple etiologies and subtypes of PE, and this heterogeneity has hindered accurate identification in the presymptomatic phase. Recent investigations have pointed to the potential role of small regulatory RNAs in PE, and these species, which travel in extracellular vesicles (EVs) in the circulation, have raised the possibility of non-invasive diagnostics. The aim of this study was to investigate the behavior of exosomal regulatory small RNAs in the most severe subtype of PE with IUGR. Methods: We isolated exosomal EVs from first-trimester peripheral blood plasma samples of women who later developed preterm PE with IUGR (n=6) and gestational age-matched healthy controls (n=14). The small RNA content of EVs and their differential expression were determined by next-generation sequencing and further validated by quantitative real-time PCR. We also applied the rigorous exceRpt bioinformatics pipeline for small RNA identification, followed by target verification and Gene Ontology analysis. Results: Overall, >2700 small RNAs were identified in all samples and, of interest, the majority belonged to the RNA interference (RNAi) pathways. Among the RNAi species, 16 differentially expressed microRNAs were up-regulated in PE, whereas up-regulated and down-regulated members were equally found among the six identified Piwi-associated RNAs. Gene ontology analysis of the predicted small RNA targets showed enrichment of genes in pathways related to immune processes involved in decidualization, placentation and embryonic development, indicating that dysregulation of the induced small RNAs is connected to the impairment of immune pathways in preeclampsia development. Finally, the subsequent validation experiments revealed that the hsa_piR_016658 piRNA is a promising biomarker candidate for preterm PE associated with IUGR. Discussion: Our rigorously designed study in a homogeneous group of patients unraveled small RNAs in circulating maternal exosomes that act on physiological pathways dysregulated in preterm PE with IUGR. Therefore, our small RNA hits are not only suitable biomarker candidates, but the revealed biological pathways may further inform us about the complex pathology of this severe PE subtype.

Open Access: Yes

DOI: 10.3389/fimmu.2024.1321191

Towards Robust LIDAR Lane Clustering for Autonomous Vehicle Perception in ROS 2

Claudiu Radu Pozna Ernö Horváth Dániel Pup Miklos Unger

Publication Name: Proceedings 2024 IEEE International Conference on Mobility Operations Services and Technologies Most 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 229-234

Description:

From LIDAR pointclouds traffic lanes, racetracks, parking lanes can be extracted with clustering algorithms. However, standard clustering algorithms like DBSCAN, K-means, and BIRCH may exhibit limited robustness in recognizing these specific geometric patterns. The current paper proposes a modification of the well-known DBSCAN algorithm which is designed for autonomous vehicle lane detection. The main idea of the proposed work is to add extra steps into the classic DBSCAN algorithm, thus regulate the cluster expansion. This modification introduces some challenges too, their subsequent resolution will be addressed in detail. To reproduce our work, both the dataset and the accompanying source code in python is shared publicly.

Open Access: Yes

DOI: 10.1109/MOST60774.2024.00031

Nonlinear Identification of Lateral Dynamics of an Autonomous Car Vehicle †

Dániel Pup György Istenes Ferenc Szauter József Bokor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

In this paper, the nonlinear identification of the lateral dynamics of a road vehicle and the velocity dependence of the dynamics are presented. One of the most useful methods to define the mathematical model is system identification based on measured data. A test vehicle for autonomous driving was constrained to move in a straight line while the vehicle’s steering servo was artificially excited. The input of the system is therefore the sum of the artificial excitation and the control signal of the autonomous function, and the output is the lateral acceleration of the vehicle. The measurements are used to identify Wiener and Hammerstein models of the lateral dynamics at different speeds using nonlinear methods. The aim is to investigate the velocity dependence of the dynamics.

Open Access: Yes

DOI: 10.3390/engproc2024079053

Genetic variability of grapevine Pinot gris virus (GPGV) in an organically cultivated vineyard in Hungary

Tamás DEÁK Erzsébet SZATHMÁRY László Palkovics Réka Sáray Dóra Pinczés Asztéria Almási Katalin Salánki

Publication Name: Phytopathologia Mediterranea

Publication Date: 2024-01-01

Volume: 63

Issue: 2

Page Range: 179-190

Description:

Grapevine Pinot gris virus (GPGV) is a recently identified trichovirus infecting grapevines. Despite wide distribution, there is limited available information on epidemiology, transmission, and associated symptoms of grapevine leaf mottling and deformation. Occurrence and genetic diversity of GPGV variants were surveyed in an organically cultivated Hungarian vineyard that was planted between 1996 and 2014. Sequence analysis demonstrated the widespread presence and high variability of GPGV, and according to phylogenetic analyses, the Hungarian virus isolates were classified into three groups. Most of the identified variants clustered with the representative asymptomatic isolates, but all isolates from one grapevine cultivar grouped with representative isolates of clade B. Furthermore, one isolate clustered with representative isolates of clade C, and the identified clade C variant had previously undescribed polymorphisms.

Open Access: Yes

DOI: 10.36253/phyto-14492

New Sternoppia (Acari, Oribatida, Sternoppiidae) from Venezuela

Sergey G. Ermilov Jenő Kontschán

Publication Name: International Journal of Acarology

Publication Date: 2024-01-01

Volume: 50

Issue: 7

Page Range: 621-627

Description:

Two new species of Sternoppia (Sternoppia) (Oribatida, Sternoppiidae)—S. (S.) venezuelaensissp. nov. and S. (S.) parareticulatasp. nov.—are described, based on materials collected from leaf litter in northern Venezuela. Sternoppia (Sternoppia) venezuelaensissp. nov. differs from the closely related species, S. (S.) sphaerodendron, by the morphology of the bothridial seta head, the length of the notogastral setae h2, h3, the presence of the notogastral seta c, number of the genital setae, and the distance between epimeral setae 3a. Sternoppia (Sternoppia) parareticulatasp. nov.differs from the closely related species, S. (S.) reticulata, by the body size, the morphology of the bothridial seta head, the location of the costulae, and the presence of the notogastral seta c. A new location and habitat for S. (S.) vicina are reported.

Open Access: Yes

DOI: 10.1080/01647954.2024.2390973

Feasibility of Using Statistical Forecasting Method in the Marcal Catchment Area

Katalin Bene Gábor Kerék Máté Szabó

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1021-1026

Description:

Flooding is one of the most destructive natural disasters, posing significant risks to under-construction and existing structures. It can also compromise critical infrastructure, such as roads and railways, by weakening embankments. While infrastructure damage is severe, the foremost concern remains the population's safety, making technological advancements and timely information dissemination crucial. Flood forecasting is vital in preparing communities and enabling flood defense organizations to respond effectively. This study aimed to develop a reliable flood forecasting method for the downstream sections of the Marcal River, where population density is high, using real-time data. Accurate flood forecasting relies on a comprehensive monitoring network and precise measurements that predict water flow and other hydrological conditions over several days. Real-time data during flood events is also essential for emergency response. Key hydrological and meteorological factors, including water levels, flow rates, and precipitation, are integral to this process. The study analyzed daily water flow data from 1960 to 2018, collected from stations along the Marcal River and its tributaries, combined with precipitation data, to forecast the river's flow at its outlet in Mórichida. Multi-level regression analysis, incorporating first- and second-order polynomials, was used to predict flood peaks at this outflow. The model employed flood wave peaks and simultaneous rising or receding flows from five additional river stations. Focusing on events with peak flows exceeding 20 m3/s, the researchers identified 68 cases, with 9-20 measurements per event. Confidence and prediction intervals confirmed the model's accuracy, predicting flood peaks within ±10 m3/s, offering a reliable, less complex alternative to traditional models.

Open Access: Yes

DOI: 10.3303/CET24114171

Soil erosion monitoring using the perpendicular soil moisture index as a remote sensing index (case study: Salehiya Wetland, Iran)

Vahid Shafaie Mahdi Sedaghat

Publication Name: Advanced Tools for Studying Soil Erosion Processes Erosion Modelling Soil Redistribution Rates Advanced Analysis and Artificial Intelligence

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 527-542

Description:

Continuous monitoring of soil erosion is necessary but challenging, especially in wetland ecosystems like Salehiya where water stress causes soil erosion and poses a threat to the environment of Tehran and Karaj. This study aims to use the perpendicular soil moisture index (PSMI) as a remote sensing index to determine the trend and zoning of soil erosion potential in Salehiya wetland. Moderate Resolution Imaging Spectroradiometer (MODIS) sensor data from 2003 to 2017 were used to estimate adjusted soil vegetation index (SAVI), land surface temperature (LST), and finally PSMI, where higher PSMI values indicate lower soil moisture. Kendall's seasonal time series test results showed a significant increase in PSMI (with tau correlation coefficient τ=0.25) and significant decreasing trends in hydrometric time series data (with the values of the τ −0.36 and −0.27, respectively) from stations located on Kharroud and Haji Arab rivers leading to Salehiya wetland, which indicates the continuation of the water stress in the region. The zoning of soil erosion indicated that human interventions have accelerated soil erosion in addition to water stress.

Open Access: Yes

DOI: 10.1016/B978-0-443-22262-7.00022-9