Sequence Distribution Research Articles

Facies distribution, sequence stratigraphy, and reservoir quality of the Oligo-Miocene carbonate sequences (Asmari formation) in the Dezful embayment, SW Iran

The Asmari succession is among the greatest productive hydrocarbon-bearing rock units in the Middle East. This paper examines the biostratigraphy, sedimentary environment, and depositional sequence of the Asmari reservoir in the Haft-Kel Field. This succession in the Haft-Kel Field contains limestones, dolostones, anhydrites, and argillaceous limestones and is bounded between the Pabdeh and Gachsaran formations. Paleontological research has led to the creation of three assemblage zones in this region. These zones present an age range from the late Oligocene (Chattian) to the early Miocene (Aquitanian). Also, detailed petrographic examinations and facies analysis led to the recognition of 14 types of microfacies, ranging from open marine environments to intertidal and supratidal systems. The distribution and association of recognized microfacies proposed carbonate ramp-type platform deposition for the Asmari Formation. In addition, three third-order depositional sequences (sequences 1, 2, and 3) have been recognized through the Asmari Formation in the Haft-Kel Oil field that is well correlated with sequences IV, V, and VI proposed by van Buchem et al. (2010), respectively. Using the Hydraulic Flow Unit (HFU) concept, six rock types have been identified for the Asmari reservoir. Finally, three reservoir zones, comprising none, moderate, and good reservoir zones, were introduced for the Asmari reservoir in Haft-Kel Field. No reservoir zones are visited in the lower part of the formation in depositional sequence 1 and to some extent in the Low Stand Systems Tract (LST) part of depositional sequence 2 and 3, while moderate to good reservoir zones are developed in the upper intervals of the formation, especially in the High Stand Systems Tract (HST) parts of depositional sequence 2 and 3.

Robust ratio-typed test for location change under strong mixing heavy-tailed time series model

. The data distributions of many financial and econometric sequences always exhibit heavy-tailed phenomena, which trigger distinct difficulty in parameter estimation by classical least squares method. This article aims to construct a new ratio-typed test based on least absolute deviation estimation that effectively circumvents the problem of long-run variance estimation and has robustness on detecting structural changes under strong mixing sequences with heavy-tailed innovations. This is because the least absolute deviation estimation can allow for processes within the domain of attraction of a stable law with an index κ ∈ ( 0 , 2 ) , not limited to (1, 2). Under some regular conditions, the asymptotic distribution under the null hypothesis is derived as a functional of Brownian motion, not a functional of lévy process, and the divergence rate under the alternative hypothesis is also provided. Furthermore, the consistency of a ratio-typed change point estimator is given and its convergence rate is established. The numerical simulation indicates that empirical sizes are undistorted, and empirical powers exhibit significant performance. Finally, two practical application examples are presented to illustrate the validity of the proposed test procedures.

Chaotic performance and circuitry implement of piecewise logistic-like mapping

<p>Discrete chaotic systems are now a meaningful research area due to their intricate dynamical characteristics. This paper introduces a novel piecewise logistic-like mapping chaotic system and rigorously establishes its Devaney chaoticity through mathematical proofs. Experimental findings demonstrate that, compared to the traditional logistic mapping, the logistic-like mapping exhibits more complex dynamic behaviors, such as bifurcation diagram, Lyapunov exponents, permutation entropy, sensitivity, and distribution of function sequences. Furthermore, in order to implement the suggested new chaotic system, a simulation circuit is designed, and a PSIM simulation model is established to validate feasibility of the simulation circuit.</p>

Multidimensional Quasi-Monte Carlo Integration in Weighted Anchored Sobolev Spaces

In this article, an exact formula for the mean square worst-case error of the integration in the weighted anchored Sobolev spaces $$H_{\mathrm{Sob},s,\gamma,\mathbf{w}}$$ presented in terms of the functions of the system $$\Gamma_{\mathcal{B}_s}$$ is delivered. The notion of the so-called weighted anchored diaphony is introduced and is shown that it is a quantitative measure for the irregularity of the distribution of sequences. The relationship that exists between the mean square worst-case error and this type of the diaphony is established.

Hydrological Modelling of Sediment Yield in the Upper Basin Region of Kirkuk City Watershed

Mountain sedimentation and undue erosion provide significant challenges for dams since materials accumulate within reservoirs that hold water, reducing the capacity for storing living water, which is the most important goal of dam building. Iraq is one of the nations that will have a big problem getting sufficient water because its water requirement continues to climb, and the supplying countries provide less water to Iraq. The present research focuses on the upper basin of the Kirkuk City watershed in northeastern Iraq. The largest watershed region, spanning approximately 420 km2 within Al-Sulaymaniyah and Kirkuk Provinces. The objective is to quantify and foresee the sediment yield in this basin using 43 years of daily environment information and various rainstorm events with various intensities. The model was adjusted and confirmed by comparing it to the monthly mean surface flow and sediment readings obtained at the Kirkuk gauging station. The Soil and Water Assessment Tool (SWAT) model was utilized to simulate the upper basin region of Kirkuk City. The aforementioned model uses the geographic information system (GIS) software to analyse necessary information from GIS layers of the electronic contour modelling kind of soil, using of land, and coverage by integrating it with the appropriate climatic information. The kinematic erosion (KINEROS) and runoff model can simulate intricate watershed behaviour by precisely adjusting for the geographical variation of soils, distribution of rainfall sequences, and vegetation. The hydrological features of the Kirkuk city basin reveal that the subdivisions with the highest erosion rates cannot transport the debris or deposits to the reservoir, primarily due to propagation damages, percolating, and other smaller barriers. The optimal curve number (CN) was determined to be between 84 and 88, while the land cover factor (C) ranged from 0.005 to 0.04. The model validation results indicate that the Kirkuk Dam reservoir received a total volume of water estimated at 118.7 million cubic metres (MCM) and a total silt yield of 0.85 million tonnes. The “KINEROS” simulation modelling for the sediment yield closely matches the upper basin of Kirkuk watershed's deformation and sedimentation behaviour during singular rainfall events; this is particularly true for parts of watersheds located near the watershed area entrance.

Modeling of Chain Sequence Length and Distribution in Random Copolyesters.

The performances and properties of random copolyesters, including biodegradability, mechanical and thermal properties, transparency, etc., are highly influenced by their chain structures. However, obtaining detailed chain sequence information remains a significant challenge. This study introduces a mathematical model based on a probabilistic approach to determine the sequence length and distribution in random copolyesters. Two types of copolyesters, A1A1BB-A2A2BB, representing poly(butylene adipate-co-terephthalate) (PBAT), and A1A1B1B1-A2B2, using poly(butylene succinate-co-glycolic acid) (PBT-PGA) as an example, are the focus. The predicted sequence lengths of various copolyesters derived from the model are in good agreement with the values reported in the literature. The chain sequence distribution obtained from the model provides better insights into the unique properties of the copolyesters. It is observed that the incorporation of hydroxyl acid units into copolyester chains effectively reduces the sequence length without altering the copolymer composition, offering a strategic approach for enhancing degradation performance while maintaining mechanical properties of random copolyesters. The influence of the number-average sequence length becomes particularly significant when the copolymer composition ranges between 0.7 and 0.9, with a higher copolymer composition required for copolyesters containing hydroxyl acid monomer units. This model represents a powerful tool for researchers, enabling a deeper understanding of the relationship between copolymer composition and its structural characteristics in random copolyesters and facilitating the development of high-performance random copolyesters.

Smoothing-Based Aftershock Probabilistic Seismic Hazard Assessment Using the Spatiotemporal ETAS Model

ABSTRACT Probabilistic seismic hazard analysis (PSHA) is generally based on computing time-invariant occurrence rates of mainshocks using the Poisson process. However, aftershock probabilistic seismic hazard analysis (APSHA) allows for assessing time-varying aftershock occurrence rates within a short-term seismic hazard mitigation framework. Our proposed methodology of APSHA develops a smoothing-based analytical formulation to capture the spatial distribution and temporal evolution of aftershock sequences using the spatiotemporal epidemic-type aftershock sequence model. This approach is tested on case studies of the 2013 Bushehr, 2021 and 2022 Hormozgan seismic events, and characterizes the aftershocks’ hierarchical structure to improve the reliability of aftershock hazard assessments. Then, the results of APSHA (aftershock ground-motion hazard at specific sites) based on smoothing are compared with conventional PSHA (pre-mainshock ground-motion hazard at specific sites). This comparative analysis highlights the importance of considering aftershock effects when assessing ground-motion hazards because PSHA does not fully account for aftershock hazard increases following major earthquakes.

DsRNAPredictor-II: An improved predictor of identifying dsRNA and its silencing efficiency for Tribolium castaneum based on sequence length distribution

RNA interference (RNAi) has been widely utilized to investigate gene functions and has significant potential for control of pest insects. However, recent studies have revealed that the target insect species, dsRNA molecule length, target genes, and other experimental factors can affect the efficiency of RNAi mediated control, restricting the further development and application of this technology. Therefore, the aim of this study was to establish a deep learning model using bioinformatics to help researchers identify dsRNA fragments with the highest RNAi efficiency. In this study, we optimized an existing model, namely, dsRNAPredictor, by designing sub-models based on different sequence lengths. Accordingly, the data were divided into two groups: 130–399 bp and 400–616 bp long sequences. Then, one-hot encoding was employed to extract sequence information. The convolutional neural network framework comprising three convolutional layers, three average pooling layers, a flattened layer, and three dense layers was employed as the classifier. By adjusting the parameters, we established two sub-models for different sequence distributions. Using multiple independent test datasets and conducting hypothesis testing, we demonstrated that our model exhibits superior performance and strong robustness to dsRNAPredictor, respectively. Therefore, our model may help design dsRNAs with pre-screening potential and facilitate further research and applications.

The impact of DNA point mutations and epigenetic modifications on the nucleosome wrapping energy

Nucleosome positioning and mobility, which plays an important role in gene expression and regulation, is in turn modulated by DNA sequence and its underlying mechanical properties. The free energy, required to deform a 147 bp linear DNA fragment into a nucleosomal configuration, is a way to quantify DNA mechanical propensity for nucleosome formation. This work explores how such energy, referred to as the nucleosome wrapping energy, is altered by DNA sequence mutations and epigenetic modifications. The nucleosome wrapping energy is computed using a newly developed computational method based on minimising the cgNA+ coarse-grain model energy with elastic constraints on phosphate positions. We find that the effect of sequence mutations and epigenetic modifications is highly dependent on the positions along the sequence of the modified bases. Most point mutations as well as cytosine methylation and hydroxymethylation, depending on their positions, can lead both to an increase and decrease in the nucleosome wrapping energy. We use the data of mutation-caused energy changes to identify sequence patterns in specific positions, leading to the smallest and highest wrapping energy values. Furthermore, we construct sequences corresponding to extremely low and high nucleosome wrapping energies, compared to energy distribution for human genome sequences. We believe that our findings are helpful for better understanding the role of DNA sequence and its epigenetic modifications in nucleosome positioning. Furthermore, our constructed minimum energy sequence could be used as a candidate for producing stable synthetic nucleosomes.

Haplotype-Based Approach Represents Locus Specificity in the Genomic Diversification Process in Humans (Homo sapiens).

Recent progress in evolutionary genomics on human (Homo sapiens) populations has revealed complex demographic events and genomic changes. These include population expansion with complicated migration, substantial population structure, and ancient introgression from other hominins, as well as human characteristics selections. Nevertheless, the genomic regions in which such evolutionary events took place have remained unclear. Here, we focused on eight loci containing the haplotypes that were previously presented as atypical for the mutation pattern in sequence and/or geographic distribution pattern with the model of recent African origin, which constitute two major clusters: African only, and global. This was the consensus model before information regarding introgression from Neanderthal (Homo neanderthalensis) was available. We compared diversity in identical datasets of the modern human population genome, with the 1000 Genomes project among them. This study identified representative genomic regions that show traces of various demographic events and genomic changes that modern humans have undergone by categorizing the relationships in sequence similarity and in worldwide geographic distribution among haplotypes.

Illustration of the Distribution of DNA Sequences and Their Frequencies Within the MEP2 Gene Across Ten Candida Species

Candida species have an impact on human skin health and occasionally can lead to catastrophic conditions, such as skin cancer. The nitrogen supply in growth media regulates MEP2 gene expression. MEP2 protein may regulate the amount of ammonium accessible to cells by directly affecting ammonium assimilation. Reducing MEP2 expression removed its potential to drive filamentous growth.This study aimed to examine serial imaging of the MEP2 gene with chaos game representation (CGR) and frequency chaos game representation (FCGR). In addition, the effect of mutations in Candida albicans strains on MEP2 docking with lauramine oxide (LDAO) was investigated. The MEP2 gene was selected for 10 Candida species from the National Center for Biotechnology Information to compare DNA sequences using conventional and portray methods (CGR and FCGR). The molecular docking between MEP2 and LDAO was determined using the HDOCK server.CGR findings revealed that Candida margitis, Candida orthopsilosis, Candida dubliniensis, Candida theae, and C albicans had approximately 65% of the same characteristics. According to FCGR, there was a 75% similarity between C albicans, C theae, C dubliniensis, C orthopsilosis, and C margitis. In certain strains, but not all a mutation in the conserved region of the protein caused a change in the docking residue of LDAO with MEP2.The CGR and FCGR protocols are considered practical and reliable tools for identifying protein and DNA sequence similarities. Approximately 80% of the existing algorithms for determining multiple sequence alignments are similar to traditional methods. Targeted treatment will be possible as determining MEP2 mutations is crucial for using Candida as a nitrogen source.

A class of mixed thinning threshold integer-valued autoregressive model for the COVID-19 data

To better capture the features of time series of counts such as the counting of elements of variable character and piecewise phenomenon, this paper proposes a class of mixed-thinning threshold integer-valued autoregressive model where the distribution of the innovation sequence is unknown. Strict stationarity ergodicity property is proved. The unknown parameters in the model are estimated by conditional least squares and modified quasi-likelihood methods, as well as their asymptotic normality, are established for the case that the threshold variable is known. The performances of the estimators are investigated in simulation, which manifests that the modified quasi-likelihood estimation performs better. Finally, a set of COVID-19 data on critical cases imported from outside China is analyzed to illustrate the application of developed model.

Solvent-Dependent Sequence-Controlled Copolymerization of Lactones: Tailoring Material Properties from Robust Plastics to Tough Elastomers.

Copolymerization stands as a versatile and potent method for tailoring polymer properties by adjusting structural unit composition and sequence distribution. However, achieving sequence-controlled copolymerization in a one-step and one-pot process remains challenging. This study introduces a solvent-dependent sequence-controlled copolymerization strategy to produce block and statistical copolyesters from 4-phenyl-2-oxabicyclo[2.1.1]hexan-3-one (4Ph-BL) and ϵ-caprolactone (ϵ-CL). The distinct kinetics of the two monomers enable the facile synthesis of diblock and triblock copolyesters, PCL-b-P(4Ph-BL) and P(4Ph-BL)-b-PCL-b-P(4Ph-BL), in non-coordinating solvents, such as dichloromethane and toluene. Conversely, coordinating solvents like tetrahydrofuran, 2-methyltetrahydrofuran, 2,5-dimethyltetrahydrofuran, 1,4-dioxane, and 1,2-dimethoxyethane facilitate frequent transesterifications, yielding statistical copolyesters P[CL-stat-(4Ph-BL)] with varying ratios of heterosequences. Density functional theory (DFT) calculations confirmed that coordinating solvents stabilize the transition state for transesterification, thereby validating their role in triggering this process. By varying the microstructures and compositions, the resultant copolyesters display tunable thermal and mechanical properties, evolving from robust plastics with an ultimate tensile strength of up to 46.3±3.1 MPa to tough elastomers with >99.3 % elastic recovery. All the copolyesters exhibit remarkable thermal stability (Td,5%=376 °C) and maintain desirable chemical circularity (>92 %), supporting a closed-loop life cycle for sustainable material economy.

Solvent‐Dependent Sequence‐Controlled Copolymerization of Lactones: Tailoring Material Properties from Robust Plastics to Tough Elastomers

Copolymerization stands as a versatile and potent method for tailoring polymer properties by adjusting structural unit composition and sequence distribution. However, achieving sequence‐controlled copolymerization in a one‐step and one‐pot process remains challenging. This study introduces a solvent‐dependent sequence‐controlled copolymerization strategy to produce block and statistical copolyesters from 4‐phenyl‐2‐oxabicyclo[2.1.1]hexan‐3‐one (4Ph‐BL) and ε‐caprolactone (ε‐CL). The distinct kinetics of the two monomers enable the facile synthesis of diblock and triblock copolyesters, PCL‐b‐P(4Ph‐BL) and P(4Ph‐BL)‐b‐PCL‐b‐P(4Ph‐BL), in non‐coordinating solvents, such as dichloromethane and toluene. Conversely, coordinating solvents like tetrahydrofuran, 2‐methyltetrahydrofuran, 2,5‐dimethyltetrahydrofuran, 1,4‐dioxane, and 1,2‐dimethoxyethane facilitate frequent transesterifications, yielding statistical copolyesters P[CL‐stat‐(4Ph‐BL)] with varying ratios of heterosequences. Density functional theory (DFT) calculations confirmed that coordinating solvents stabilize the transition state for transesterification, thereby validating their role in triggering this process. By varying the microstructures and compositions, the resultant copolyesters display tunable thermal and mechanical properties, evolving from robust plastics with an ultimate tensile strength of up to 46.3 ± 3.1 MPa to tough elastomers with >99.3% elastic recovery. All the copolyesters exhibit remarkable thermal stability (Td,5% = 376 °C) and maintain desirable chemical circularity (>92%), supporting a closed‐loop life cycle for sustainable material economy.

MIMt: a curated 16S rRNA reference database with less redundancy and higher accuracy at species-level identification

MotivationAccurate determination and quantification of the taxonomic composition of microbial communities, especially at the species level, is one of the major issues in metagenomics. This is primarily due to the limitations of commonly used 16S rRNA reference databases, which either contain a lot of redundancy or a high percentage of sequences with missing taxonomic information. This may lead to erroneous identifications and, thus, to inaccurate conclusions regarding the ecological role and importance of those microorganisms in the ecosystem.ResultsThe current study presents MIMt, a new 16S rRNA database for archaea and bacteria’s identification, encompassing 47 001 sequences, all precisely identified at species level. In addition, a MIMt2.0 version was created with only curated sequences from RefSeq Targeted loci with 32 086 sequences. MIMt aims to be updated twice a year to include all newly sequenced species. We evaluated MIMt against Greengenes, RDP, GTDB and SILVA in terms of sequence distribution and taxonomic assignments accuracy. Our results showed that MIMt contains less redundancy, and despite being 20 to 500 times smaller than existing databases, outperforms them in completeness and taxonomic accuracy, enabling more precise assignments at lower taxonomic ranks and thus, significantly improving species-level identification.

Karyotype diversity of Polybia (gr. occidentalis) species complex (Hymenoptera: Vespidae): Taxonomic and evolutionary implications

AbstractPolybia is a common wasp genus found in most of South America. Polybia (gr. occidentalis) encompasses several species that are difficult to identify because of their similar morphologies. Our goal was to cytogenetically characterize three species belonging to Polybia (gr. occidentalis) and discuss the importance of cytogenetic data for integrative taxonomy. Polybia colonies were sampled from different regions of Brazil to perform classical and molecular cytogenetic analyses. Polybia paulista and Polybia sp. 1 showed 2n = 34 and 18S rDNA loci on two chromosomes, whereas Polybia sp. 2 showed 2n = 40 and 18S rDNA clusters on four chromosomes. The microsatellites GA(15), GAG(10), CAA(10), TTAGG(6), and TCAGG(6) showed similar distributions among the species, forming blocks in the euchromatic regions of the chromosomes, whereas CGG(10) did not yield any positive markings. In contrast, TAT(10) hybridized on the centromeric heterochromatin, showing differences in the number of marked chromosomes among the species. Therefore, it may potentially be a species‐specific cytotaxonomic marker in this group of wasps, but this feature needs further investigation. Fluorochromes evidenced that AT‐rich DAPI+ sequence distribution was coincident with heterochromatin, while the distribution of CG‐rich CMA3+ sequences was coincident with the 18S rDNA region. The present study revealed differences in diploid number, heterochromatin content, 18S rDNA sites, and microsatellite patterns between morphologically similar species, demonstrating the usefulness of cytotaxonomy in studying species complexes.

Genomic Characterization of SARS-CoV-2 Isolates Obtained from Antalya, Türkiye

As the number of coronavirus diseases-2019 (COVID-19) cases have decreased and measures have started to be implemented at an individual level rather than in the form of social restrictions, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) still maintains its importance and has already taken its place in the spectrum of agents investigated in multiplex molecular test panels for respiratory tract infections in routine diagnostic use. In this study, we aimed to present mutation analysis and clade distribution of whole genome sequences from randomly selected samples that tested positive with SARS-CoV-2 specific real-time reverse transcription polymerase chain reaction (rRT-PCR) test at different periods of the pandemic in our laboratory with a commercial easy-to-use kit designed for next-generation sequencing systems. A total of 84 nasopharyngeal/oropharyngeal swab samples of COVID-19 suspected patients which were sent for routine diagnosis to the medical microbiology laboratory and detected as SARSCoV-2 RNA positive with rRT-PCR were randomly selected from different periods for sequence analysis. Library preparation for sequencing was performed with the commerical EasySeq SARS-CoV-2 RC PCR kit (Nimagen, the Netherlands). The data generated from the Illumina MiSeq system (Illumina Inc, San Diego, CA, USA) were analysed using CLC Genomics Workbench (CLC, Qiagen, Hilden, Germany). Nextstrain clades detected in order of frequency were 21J (Delta) (25%, n= 21), 21L (Omicron) (23.8%, n= 20), 20B (19%, n= 16), 20A (15.5%, n= 13), 21K (Omicron) (11.9%, n= 10), 19A (3.6%, n= 3), and 22B (Omicron) (1.2%, n= 1). Excluding one patient sample which was identified as 22B (Omicron), a total of 2829 common distinct mutations (2076 missense, 551 synonymous, 192 deletions and 10 insertions) were detected. 100 mutations were observed in the non-coding 5' untranslated region (UTR). The majority of the mutations were located in the Spike gene region (1120 mutations), followed by the ORF1a (624 mutations), nucleocapside (315 mutations) and ORF1b (263 mutations) gene regions. Sampling times of the patients were March 2020 (n= 1), April 2020 (n= 11), May 2020 (n= 1), June 2020 (n= 2), July 2020 (n= 3), August 2020 (n= 1), September 2020 (n= 5), November 2020 (n= 2), December 2020 (n= 6), December 2021 (n= 19), January 2022 (n= 11), March 2022 (n= 16), April 2022 (n= 3), and June 2022 (n= 3). As a result, in this study, SARS-CoV-2 variants and mutations in the Mediterranean Region of Türkiye, Antalya province were analyzed in detail. To the best of our knowledge, no SARS-CoV-2 genome analysis study from the pandemic period has been reported in our province. When the sequences from our study were uploaded to the GISAID Instant Audacity system and the related genomes obtained from different countries in the EpiCoV database metadata were examined, the top two countries in terms of similarity and which could be associated with the main entry route of the virus into Türkiye were Germany and the United Kingdom. In today's world, where it is discussed what can be done to be prepared for possible new pandemics based on the COVID-19 pandemic, the importance of being proactive in molecular surveillance studies is indisputable. Developing countries should be supported and encouraged to research new variants and share data in addition to known variants in pandemic control. At this point, we believe that past pandemic data reported from different geographical regions will also be valuable in terms of predicting the circulation network and taking precautions in a possible new pandemic.

Comparative satellite DNA mapping in species of the genus Prochilodus (Teleostei, Characiformes) and its evolutionary implications.

Satellite DNA (satDNA) sequences are dynamic components of the eukaryotic genome that can play significant roles in species diversification. The Prochilodontidae family, which includes 21 Neotropical fish species, is characterized by a conserved karyotype of 2n=54 biarmed chromosomes, with variation in some species and populations regarding the presence or absence of B chromosomes. This study aimed to investigate whether the chromosomal distribution of specific satDNA sequences is conserved among three Prochilodus species (Prochilodus lineatus, Prochilodus costatus, and Prochilodus argenteus) regarding organization and number of loci, and to compare their genomes using comparative genomic hybridization (CGH). Our results demonstrated that most satDNA sequences share a similar distribution pattern across the three species, and CGH analysis corroborated that their karyotypes are very similar in terms of repetitive DNA distribution. We also identified a potential CENP-B box sequence within PliSat01, a satDNA located in the pericentromeric region of all analyzed species. In contrast, PliSat04 and PliSat14 displayed differential locations and variations in the number of loci per genome, underscoring the dynamic nature of repetitive sequences even in species with otherwise highly conserved genomes. These findings represent the first evidence of karyotype diversification in Prochilodus, highlighting the evolutionary dynamism of satDNA sequences.

Glacial and periglacial geomorphology of the eastern flank of the north Patagonian Andes: Quaternary morphoclimatic evolution

The cold climate events of the Upper Cenozoic greatly modified the landscape of Patagonia, where a large number of relicts and active landforms of glacial, periglacial and paraglacial origin is preserved. To assess the regional paleoclimatic record when numerical ages are unavailable, the spatial distribution of local depositional landform sequences was analyzed in six mountain ranges located on the eastern margin of the North Patagonian Andes. The analysis of satellite images and digital elevation model, fieldwork research and its integration into a Geographical Information System were used to develop a detailed inventory of mountain landforms. A total of 67 glacial valleys, 97 glacial cirques, 94 moraines, 75 rock glaciers, 103 protalus ramparts, and more than 145 km2 and 100 km2 of surface affected by solifluction and mass wasting processes respectively were mapped. From the analysis of the spatial and altitudinal distribution of landforms, we defined temporal and spatial sequences of morpho-climate importance. We recognized four major morpho-climate events associated with local paleoclimate conditions and one stage of a recent paraglacial adjustment. The oldest cold climate event recognized might be correlated with the Last Glacial Maximum. The results show the rise in the average air temperature and an aridity trend for the study area since the Late Pleistocene. During this lapse, glacial environments evolved to periglacial environments, although was recognized their coexistence in some areas in the same mountain range.

Estimation of battery state of charge based on changing window adaptive extended Kalman filtering

Adaptive extended Kalman filter (AEKF) is commonly used for lithium-ion battery state of charge (SOC) estimation. However, it overlooks the impact of changes in the distribution of error innovation sequence (EIS) on the noise covariance, resulting in inaccurate state of charge estimates. To address this issue, this paper introduces a novel approach called changing window adaptive extended Kalman filter (CW-AEKF) algorithm. This algorithm uses variance ratio and Levene test to identify the change in the distribution of error innovation sequence, and adaptively updates the optimal noise window length based on the judgment result to achieve accurate noise estimation. Subsequently, the proposed algorithm is combined with a temperature-corrected second-order RC equivalent circuit model for state of charge estimation. The results of dynamic stress test (DST) at different temperatures show that the changing window adaptive extended Kalman filter algorithm can obtain higher accuracy in state of charge estimation results than other algorithms, with state of charge estimation errors remaining within 1 %. Finally, the state of charge estimation of the changing window adaptive extended Kalman filter algorithm in publicly available datasets is analyzed. The results demonstrate that the proposed algorithm maintains strong generalization ability when facing various working conditions.