Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Effects of Robertsonian Translocation 1/29 (Rob (1;29)) on Genetic Diversity in Minor Breeds of Spanish Berrenda Cattle via Genome-Wide Analysis

Simple Summary The Spanish cattle breeds “Berrenda en Colorado” and “Berrenda en Negro” are considered endangered breeds. For years, breeders’ associations have been implementing breeding strategies in herds to address the presence of the Robertsonian translocation (rob (1;29)), which is a disease that causes a decline in reproductive performance. Single-nucleotide polymorphism (SNP) genotyping detection techniques are presented as an appropriate means to evaluate genetic diversity. However, previous research on genetic variability in both breeds has been carried out using DNA microsatellites. Therefore, we studied the genetic diversity, population structure, and potential genetic differences among individuals of both Berrenda breeds and groups based on the presence of the Robertsonian chromosomal translocation, rob (1;29). The genetic diversity in terms of expected heterozygosity was significantly lower in those subpopulations containing rob (1;29) within the breed, but in general, the four subpopulations considered showed minor genetic differences. The presence of this Robertsonian translocation did not result in sub-structuring associated with this chromosomal disorder within either of the breeds. The improvement of the reproductive performance of the Berrenda breeds requires the implementation of breeding strategies based on the contributions to the populations of the breeding stock carrying rob (1;29). Abstract Most of the previous studies on the genetic variability in Spanish “Berrenda” breeds have been carried out using DNA microsatellites. The present work aimed to estimate the genetic diversity, population structure, and potential genetic differences among individuals of both Berrenda breeds and groups based on the presence of the Robertsonian chromosomal translocation, rob (1;29). A total of 373 samples from animals belonging to the two breeds, including 169 cases diagnosed as rob (1;29)-positive, were genotyped using an SNP50K chip. The genetic diversity at the breed level did not show significant differences, but it was significantly lower in those subpopulations containing the rob (1;29). Runs of homozygosity identified a region of homozygosity on chromosome 6, where the KIT (KIT proto-oncogene, receptor tyrosine kinase) gene, which determines the typical spotted coat pattern in both breeds, is located. The four subpopulations considered showed minor genetic differences. The regions of the genome that most determined the differences between the breeds were observed on chromosomes 4, 6, 18, and 22. The presence of this Robertsonian translocation did not result in sub-structuring within each of the breeds considered. To improve the reproductive performance of Berrenda breeds, it would be necessary to implement strategies considering the involvement of potential breeding stock carrying rob (1;29).
Investigation of turbulence characteristics and its influential parametric optimization of a double-sided lid-driven cavity using Taguchi and ANOVA methods

This paper investigates turbulence characteristics and the parameters controlling the turbulent incompressible flow of a double-sided lid-driven cavity. The effects of varying Reynolds numbers (1? 104 ? Re ? 2? 105), speed ratios (0.05 ? S ? 1.0), and aspect ratios (0.5 ? K ? 2.0) on the turbulent quantities, such as kinetic energy (k), dissipation (? ), turbulent viscosity (? t) are analyzed. The k-? turbulence model equations are solved using the FVM-based SIMPLE algorithm. Taguchi's approach uses an L16 orthogonal array to determine the optimal cavity parameters. The significance of the considered factors is estimated using the analysis of variance (ANOVA) method. The present study reveals that the turbulent quantities are significantly reduced by increasing the aspect ratio, speed ratio, and Reynolds number. Taguchi analysis suggests that the optimal fluid flow rate is attained by combining S = 0.05, K = 0.5, and Re = 2? 105. The ANOVA analysis shows the significant percentage contribution for parameters S and Re, which are approximately 62.29% and 30.21%, respectively. From the regression equation, ? t,avg has a positive relationship with both K and Re but a negative relationship with S.
Deciphering the seismic signature of the Edvard Grieg field, North Sea

We present a case of seismic reservoir characterization within a multi-source depositional setting. To resolve issues of non-uniqueness between intrinsic reservoir properties and the seismic data, we use a probabilistic approach. Stochastic rock physics relationships are used to establish a link between elastic parameters and various lithology classes. We highlight the importance of concurrently using multiple lithological prior models to achieve an improved understanding of the seismic response of the Edvard Grieg field. Application of a one-step inversion approach, which assesses the direct conditional (posterior) distribution of elastic parameters, yields improved reservoir prediction particularly in regions where the reservoir sandstones are thin. Quantitative prediction and interpretation of impedances and lithology volumes is done in light of selected models and associated uncertainties.
Lysosomes in Cancer—At the Crossroad of Good and Evil

Although it has been known for decades that lysosomes are central for degradation and recycling in the cell, their pivotal role as nutrient sensing signaling hubs has recently become of central interest. Since lysosomes are highly dynamic and in constant change regarding content and intracellular position, fusion/fission events allow communication between organelles in the cell, as well as cell-to-cell communication via exocytosis of lysosomal content and release of extracellular vesicles. Lysosomes also mediate different forms of regulated cell death by permeabilization of the lysosomal membrane and release of their content to the cytosol. In cancer cells, lysosomal biogenesis and autophagy are increased to support the increased metabolism and allow growth even under nutrient- and oxygen-poor conditions. Tumor cells also induce exocytosis of lysosomal content to the extracellular space to promote invasion and metastasis. However, due to the enhanced lysosomal function, cancer cells are often more susceptible to lysosomal membrane permeabilization, providing an alternative strategy to induce cell death. This review summarizes the current knowledge of cancer-associated alterations in lysosomal structure and function and illustrates how lysosomal exocytosis and release of extracellular vesicles affect disease progression. We focus on functional differences depending on lysosomal localization and the regulation of intracellular transport, and lastly provide insight how new therapeutic strategies can exploit the power of the lysosome and improve cancer treatment.
The Influence of Self-Efficacy on Metacognition Skills of High Grade Students

Self-efficacy and metacognition skills are two essential variables in achieving learning goals. However, the correlation between the two variables has yet to be discovered. This study aims to analyze and describe the significant effect of self-efficacy on the metacognition skills of high-class elementary school students. A quantitative research method with an ex-post facto or causal-comparative approach was used in this study. The study population was 88 students, and the sample was 72 students. Data were collected using questionnaires and documentation studies. Data analysis techniques used descriptive statistics and simple linear regression. Based on the results of the analysis, it is obtained that the hypothesis test states that there is a positive and significant correlation between self-efficacy and metacognition skills in high-class elementary school students through the Pearson correlation test, a significance value of 0.00 is obtained, which means it is smaller than 0.05, namely 0.00 <0.05, with a positive correlation of 0.784. So that when viewed from the existing degree guidelines, the Pearson correlation is strongly correlated. The obtained value of 10.573 means more significant than the t table value of 1.66629, namely 10.573 > 1.66629, with the acquisition of the regression equation Y = 12.822 + 0.713, which implies that self-efficacy is positively correlated with students' metacognition skills. So self-efficacy affects metacognition skills.
The potential of using LiDAR and color-infrared aerial imagery for palustrine wetland typology and change

Wetlands are dynamic landscapes and their spatial extent and types can change over time. Mapping wetland locations, types, and monitoring wetland typological changes have important ecological significance. The National Wetlands Inventory data suffer from two problems: the omission error that some wetlands are not mapped, and the out-of-date wetland types in many counties of the United States. To address these two problems, we proposed an automatic wetland classification model for newly mapped (or existing) wetland polygons lacking typological information. The research goals in this study were (1) to develop a nonparametric and automatic rule-based model to assign wetland types to palustrine wetlands using high-resolution remotely sensed data and (2) to quantify wetland typological changes based on the wetland types obtained from the previous step. The model is a direct application of the Cowardin et al. (1979) wetland classification system without modification. The input information for the proposed model includes Light Detection and Ranging (LiDAR)-derived vegetation height and color infrared aerial imagery-derived vegetation spectral information. We tested the model for the palustrine wetlands in Horry County, SC, and analyzed 29,090 palustrine wetland polygons (101,427 ha). The model achieved an overall agreement of 87% for wetland-type classification and showed the dynamics of wetland typological changes. This nonparametric model can be easily applied to other areas where wetland inventory needs updating.
Variation in Dispreferred Responses among Rural and Urban Saudi Arabic Speakers: A Socio-pragmatic Analysis

The study investigates the socio-pragmatic variation in refusals among rural and urban communities speaking Saudi Arabic. A total of 60 male Saudi Arabic speakers participated in a DCT questionnaire, assessing their refusals to invitations and requests. The results showed that both rural and urban speakers primarily use indirect strategies to refuse, involving softening elements to mitigate the impact of the refusal. However, rural speakers tended to use more indirect strategies and show a higher level of concern in their refusals compared to urban speakers. The study also found that individuals in Saudi Arabia are sensitive to social status and relationship distance when engaging in refusal situations. Those of higher social status were less likely to use indirect and softening language. The rural community demonstrated a higher level of concern in their refusals by employing more elaborate responses and greater levels of mitigation compared to the urban community. Understanding these socio-cultural differences in refusal strategies can help prevent misunderstandings and enhance cross-cultural understanding in Saudi Arabian communities.
Removal of Cu2+ and Ni2+ ions from aqueous solutions by adsorption onto natural palygorskite and vermiculite

ABSTRACT The efficiency of two low-cost, abundant and natural clay minerals, palygorskite and vermiculite, in terms of reducing the concentation of Cu2+ and Ni2+ ions was evaluated here. Natural clay minerals were characterized by X-ray powder diffraction (XRD), scanning electron microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), BET specific surface area and pore-diameter analysis. Batch-type experiments were performed and various parameters, i.e. pH, clay amount, contact time and initial metal concentration, that affect adsorption processes were investigated. The adsorption of Cu2+ and Ni2+ ions is pH-dependent, while minor clay quantities were sufficient to achieve high removal efficiencies. Adsorption equilibrium occurred in 60 min and the adsorption kinetics were better described by pseudo-second-order kinetics. Experimental results were analysed by the Langmuir, Freundlich, Dubinin–Radushkevich (D–R), Temkin and Halsey isotherm equations. The release of exchangeable cations (i.e. Ca2+, Mg2+, Na+ and K+) was examined to verify an ion-exchange mechanism.
Evaluating the Efficacy of Real-Time Connected Vehicle Basic Safety Messages in Mitigating Aberrant Driving Behaviour and Risk of Vehicle Crashes: Preliminary Insights from Highway Scenarios

Connected vehicle (CV) technology has revolutionised the intelligent transportation management system by providing new perspectives and opportunities. To further improve risk perception and early warning capabilities in intricate traffic scenarios, a comprehensive field test was conducted within a CV framework. Initially, data for basic safety messages (BSM) were systematically gathered within a real-world vehicle test platform. Subsequently, an innovative approach was introduced that combined multimodal interactive filtering with an advanced vehicle dynamics model to integrate BSM vehicle motion data with observations from roadside units. In addition, a driving condition perception methodology was developed, leveraging rough sets and an enhanced support vector machine (SVM), to identify aberrant driver behaviours and potential driving risks effectively. Furthermore, this study integrated BSM data from various scenarios, including car-following, lane changes, and free driving within the CV environment, to formulate multidimensional driving state sequence patterns for short-term predictions (0.5 s) utilising the long short-term memory (LSTM) model framework. The results demonstrated the effectiveness of the proposed approach in accurately identifying potentially hazardous driving conditions and promptly predicting collision risks. The findings from this research hold substantial promise in advancing road traffic safety management.
The spread of agriculture in eastern Asia: Archaeological bases for hypothetical farmer/language dispersals

Millets and rice were important for the demographic history of China. This review draws on current archaeobotanical evidence for rice and millets across China, Korea, eastern Russia, Taiwan, Mainland southeast Asia, and Japan, taking a critical approach to dating evidence, evidence for cultivation, and morphological domestication. There is no evidence to suggest that millets and rice were domesticated simultaneously within a single region. Instead, 5 regions of north China are candidates for independent early cultivation of millets that led to domestication, and 3 regions of the Yangtze basin are candidates for separate rice domestication trajectories. The integration of rice and millet into a single agricultural system took place ca. 4000 BC , and after this the spread of agricultural systems and population growth are in evidence. The most striking evidence for agricultural dispersal and population growth took place between 3000 and 2500 BC , which has implications for major language dispersals.
A mmWave Radar SLAM Method in Subterranean Tunnel for Low Visibility and Degradation

A novel mmWave radar SLAM method is proposed to integrate multi-dimensional information, including velocity, spatial, RCS, and semantics to enable autonomous navigation in subterranean tunnel environments, which are characterized by low visibility and degraded conditions. By combining doppler odometry, scan matching, and feature matching modules, the proposed method effectively mitigates environmental degradation. Experimental results from various subterranean tunnel trajectories show that the proposed method achieves superior localization and mapping accuracy compared to existing radar SLAM methods, and even outperforms state-of-the-art Lidar SLAM methods. The achieved accuracy can reach the decimeter level in numerous subterranean tunnel tracks covering a total distance of over 500 meters.
Computational Modeling of the Interactions between DPP IV and Hemorphins

Type 2 diabetes is a chronic metabolic disorder characterized by high blood glucose levels due to either insufficient insulin production or ineffective utilization of insulin by the body. The enzyme dipeptidyl peptidase IV (DPP IV) plays a crucial role in degrading incretins that stimulate insulin secretion. Therefore, the inhibition of DPP IV is an established approach for the treatment of diabetes. Hemorphins are a class of short endogenous bioactive peptides produced by the enzymatic degradation of hemoglobin chains. Numerous in vitro and in vivo physiological effects of hemorphins, including DPP IV inhibiting activity, have been documented in different systems and tissues. However, the underlying molecular binding behavior of these peptides with DPP IV remains unknown. Here, computational approaches such as protein–peptide molecular docking and extensive molecular dynamics (MD) simulations were employed to identify the binding pose and stability of peptides in the active site of DPP IV. Findings indicate that hemorphins lacking the hydrophobic residues LVV and VV at the N terminal region strongly bind to the conserved residues in the active site of DPP IV. Furthermore, interactions with these critical residues were sustained throughout the duration of multiple 500 ns MD simulations. Notably, hemorphin 7 showed higher binding affinity and sustained interactions by binding to S1 and S2 pockets of DPP IV.
Preservation of the Early Evolution of the Himalayan Middle Crust in Foreland Klippen: Insights from the Karnali Klippe, West Nepal

Although the India‐Asia collision has been ongoing since the Eocene, the exposed hinterland of the Himalayan orogen was pervasively deformed and metamorphosed at high temperature during the Miocene and hence reveals little information about the Eocene‐Oligocene period of collision. New pressure‐temperature‐time‐deformation data from the Karnali klippe in west Nepal foreland demonstrate that Greater Himalayan sequence (GHS) rocks there escaped the Miocene overprint and consequently unveil the early tectonometamorphic evolution of the middle crust. Prograde metamorphism in the GHS occurred at 40 Ma and peak suprasolidus conditions in the kyanite stability field (i.e., >650–700°C and >0.7–1.0 GPa) were attained between 35 and 30 Ma. Peak metamorphism was followed by cooling, decompression, and melt crystallization at circa 30 Ma during tectonic exhumation below the South Tibetan detachment. As the middle crust was exhumed, strain propagated up section within the South Tibetan detachment high‐strain zone, which remained active through circa 16 Ma. The GHS cooled below ~450–475°C at 20–17 Ma on the southwest flank and 17–14 Ma on the northeast flank of the Karnali klippe. In marked contrast, GHS rocks now exposed in the hinterland were still buried, hot and actively deforming, while the foreland was cooled and exhumed. Oligocene cooling of the frontal tip of the GHS is compatible with the southward extrusion of partially molten midcrustal rocks followed by renewed shortening along out‐of‐sequence shear zones in the hinterland.
MNEs Entry Mode Choices: The Impact of Past on Current. Evidence from an Emerging Economy

The paper examines the effect past entry strategies have on current ones on a country level, Turkey. It illustrates how international experience and institutional distance affect the way an entry-strategy is formed, and the procedure followed -mode learning, mode inertia, mode dynamics. To do so, it synthesizes the literature review within the framework of Benito et al. (2009). This paper’s modifications are empirically tested through a sample of 408 foreign equity investments. The econometric testing method implemented is that of Binary Logistic Regression. The period of investigation extends between 2011 and 2017. Results indicate that MNEs entering the Turkish secondary and tertiary Turkish sectors tend to utilize past entry mode strategies. Furthermore, the higher the past mode strategy is for an MNE, then it is 4.4 more possible for them to choose a wholly owned subsidiary.
Structural and functional changes within the benthic communities of Danube Delta lakes

The Danube Delta, one of the largest and still well preserved delta systems in Europe, has been on the lists of Biosphere Reserves, World Heritage and Ramsar sites since 1991. Many scientific arguments needed for the development of appropriate management plans were made possible from the information and database established from the long-term research and monitoring program launched in late 1970s. In this context the lentic ecosystems have been extensively and intensively investigated in terms of the dynamics of structure and quality of hydrogeomorphological units (HGMUs), as well as the changes in the spatio-temporal organization of the communities, energy flow and nutrient cycling (CRISTOFOR 1987, VADINEANU & SIDI EL NocrAR 199111992, CRISTOFOR et ai. 1994, VADINEANU & CRISTOFOR 1987, 1994, VADINEANU et ai. 1989, 1992, 1998). This paper focuses on the general trend of structural and functional changes that have occurred in the main trophodynamic modules of the macrozoobenthos between 1979 and 1994.
Evaluating the Response of Summertime Surface Sulfate to Hydroclimate Variations in the Continental United States: Role of Meteorological Inputs in the GEOS‐Chem Model

Understanding the response of sulfate to climate change is crucial given tight couplings between sulfate and the hydrological cycle. As the sources and sinks of sulfate are sensitive to cloud and precipitation processes, the accuracy of model simulations depends on the accuracy of these meteorological inputs. In this study, we evaluate the GEOS‐Chem model in simulating summertime surface sulfate concentrations in the continental United States across different levels of dryness and compare the model performance based on two sets of meteorological fields: Modern Era Retrospective Analysis for Research and Applications (MERRA) and MERRA‐2. Both simulations fail to reproduce observed increases in sulfate during drought, as indicated by negative correlation slopes between surface sulfate concentrations and the standardized precipitation evapotranspiration index (SPEI). This deficiency can be largely attributed to too large a decrease in clouds and hence aqueous phase sulfate production as conditions shift from wet to dry. MERRA‐2‐driven GEOS‐Chem (M2GC) shows improvements in cloud and precipitation fields relative to the MERRA‐driven GEOS‐Chem, hence eliminating approximately half of the bias in the simulated sulfate‐SPEI slope. However, M2GC still underestimates boundary layer cloud fraction, overestimates liquid water content, and overestimates the rates of the decrease in both quantities as conditions become drier. Explicitly correcting these cloud biases in M2GC results in a 60–80% reduction of the bias in the simulated sulfate‐SPEI slope. The strong sensitivity of simulated sulfate to prescribed cloud fields suggests the need for more comprehensive assessment of cloud inputs for sulfate simulations under current and future climate change scenarios.