Search Results (547)

Recent advances in plant genomics have characterized transposable elements (TEs) as key contributors to genome structure and gene regulation. This study focuses on the remarkably high abundance of short interspersed nuclear elements (SINEs) in the genus Trifolium. Using the allotetraploid horticultural plant white clover (Trifolium repens L.) as the study organism, we systematically investigate lineage-specific SINE amplification, genomic distribution, insertional preferences, and their regulatory effects on gene expression. Our analyses reveal that SINEs are significantly more abundant in Trifolium than in other angiosperms. Comparative genomic analyses further indicate that SINE accumulation is closely associated with polyploidization and domestication. Gene Ontology (GO) enrichment analyses demonstrate that SINEs are preferentially enriched in stress responsive genes. Expression analyses further showed that, within duplicated gene pairs, genes with SINE insertions in their upstream promoter regions exhibit significantly higher transcript levels compared with genes without such insertions. Under drought, cold, and cadmium stress, these SINE-associated genes exhibit upregulation, and our data analysis shows a strong correlation between the presence of SINE insertions and stress-induced upregulation of gene expression. This study demonstrates that SINE insertions in upstream promoter regions modulate transcriptional regulatory networks involved in stress responses, contributing to broad ecological adaptation in white clover. Full article

Background: Kenaf (Hibiscus cannabinus L.) is an important fiber crop belonging to the genus Hibiscus in the Malvaceae family. Research on its chloroplast genome holds significant importance for deciphering the evolutionary relationships of the Hibiscus species, developing genetic markers, and promoting kenaf (H. cannabinus) genetic breeding. Methods: Based on high-throughput sequencing technology, this study completed the sequencing and assembly of the kenaf (H. cannabinus) chloroplast genome. Results: (1) The kenaf (H. cannabinus) chloroplast genome exhibits a typical circular quadripartite structure with a total length of 163,019 bp, including a large single-copy region (LSC) of 90,467 bp, a small single-copy region (SSC) of 19,486 bp, and a pair of inverted repeat regions (IRa/IRb) of 26,533 bp each. The total GC content is 36.62%, among which, the IR region has the highest GC content (42.61%) and the SSC region the lowest (30.87%). (2) A total of 131 genes were annotated, including 85 mRNAs, 37 tRNAs, 8 rRNAs, and 1 pseudogene. Their functions cover photosynthesis (e.g., pet and atp family genes), self-replication (e.g., rpl, rps, and rpo family genes), and genes with unknown functions (e.g., ycf1 and ycf2). A codon usage bias analysis revealed that the relative synonymous codon usage (RSCU) value of the stop codon UAA is the highest (1.6329), and codons ending with A/U are preferentially used (e.g., GCU for alanine with RSCU = 1.778). (3) A repeat sequence analysis identified various interspersed repeat sequences (predominantly 30~31 bp in length, with a relatively high proportion in the 30~40 bp range, including forward and palindromic types) and simple sequence repeats (cpSSRs). Among them, single-base repeat SSRs account for the highest proportion (e.g., (A)8 and (T)9), and specific SSR primers were designed. (4) A comparative evolutionary analysis indicated that the Ka/Ks ratios (nonsynonymous substitution rate/synonymous substitution rate) of core chloroplast genes (e.g., rps2 and rpoC2) in kenaf (H. cannabinus) are all less than 1 (0.145~0.415), suggesting that they are under purifying selection. The collinearity similarity of chloroplast genomes between kenaf (H. cannabinus) and its closely related species reaches over 99.97%, and the IR region boundaries are relatively conserved. The phylogenetic tree shows that kenaf (H. cannabinus) clusters with closely related Hibiscus species with a 100% bootstrap value, indicating a close genetic relationship. Conclusions: This study provides basic data for the functional analysis of the kenaf (H. cannabinus) chloroplast genome, the phylogeny of Hibiscus, and the utilization of genetic resources. Full article

To address the issues of hydrophobicity, easy fouling, and limited application of polyvinylidene fluoride (PVDF) membranes in water treatment processes, this study prepared Cu-MnO₂/GO/PVDF catalytic membranes via the immersion precipitation phase inversion method. Graphene oxide (GO) was incorporated to facilitate the construction of good water channels, while copper-doped manganese dioxide (Cu-MnO₂) was added to enhance catalytic activity. The structure, morphology, and performance of the membranes were characterized comprehensively. Results showed that Cu-MnO₂ was well interspersed between GO sheets, thereby increasing membrane surface roughness, effective filtration area, and hydrophilicity. The best catalytic membrane CM-5 exhibited the highest pure water flux (1391.20 L·m⁻²·h⁻¹) and methyl blue (MBE) rejection rate (98.06%), and it also displayed excellent reusability and stability. EPR tests confirmed the generation of HO· and HOO· in the Fenton-like system, which mediated dye degradation. The Cu-MnO₂/GO/PVDF catalytic membrane demonstrated excellent hydrophilicity, antifouling properties, and catalytic efficiency, thus providing a viable solution for dye wastewater treatment. Full article

Background and Clinical Significance: Ganglioneuromatosis is a benign proliferation of mature ganglion cells, Schwann cells, and nerve fibers within the enteric or autonomic nervous system. According to the WHO classification, it encompasses a spectrum range from solitary ganglioneuroma to ganglioneuromatous polyposis and diffuse mural involvement. It is most commonly encountered in the colon and small bowel and is strongly associated with hereditary syndromes such as neurofibromatosis type 1 (NF1), multiple endocrine neoplasia type 2B (MEN2B), and Cowden syndrome. The involvement of the gallbladder is exceptional and only isolated cases have been documented. Case Presentation: We present the case of 64-year-old man admitted with longstanding right hypochondrium and epigastric pain, accompanied by intermittent nausea and occasional bilious vomiting. A cholecystectomy was performed and the histology result showed hypertrophic nerve fibers with interspersed mature ganglion cells within the fibromuscular layer. Immunohistochemistry supported neural origin and glial differentiations, consistent with ganglioneuromatosis of the gallbladder. The patient has no clinical evidence of NF1, MEN2B, or Cowden syndrome, adding a non-syndromic adult case to the very limited literature on this entity. Conclusions: This is a rare, non-syndromic adult case of gallbladder ganglioneuromatosis, contributing to the very limited literature on this entity. Full article

Background: Inflammatory bowel diseases include Crohn’s disease (CD) and ulcerative colitis (UC). These diseases are characterized by periods of exacerbated inflammation of the gastrointestinal mucosa, interspersed with periods of remission. Current pharmacological interventions are only partially effective. There is a need for effective dietary therapies and interventions involving plant substances that can alleviate the course of this disease. Objectives: This study aimed to determine the effects of a 28-day dietary intervention involving a 3% solution of chemically pure, low-molar-mass oat beta-glucan (OBG) in patients diagnosed with de novo UC. Similar-aged men and women were compared. Methods: The OBG was isolated and prepared for consumption as a sterile aqueous suspension. This solution had previously been evaluated for in vitro toxicity using 3D intestinal co-cultures comprising Caco-2, HT29-MTX and THP-1 cells. Before and after the dietary intervention, endoscopic colon examinations were performed and blood hematological, biochemical and immunological parameters, as well as stool calprotectin concentrations, were analyzed. The Disease Activity Index (DAI), endoscopic Mayo score, the Lichtiger Colitis Activity Index (LCAI) and the neutrophil-to-lymphocyte ratio (NLR) were also determined. Following dietary intervention, the Mayo score, DAI, fecal calprotectin levels, and indices of peripheral blood white cells, CRP, and pro-inflammatory cytokine concentrations were decreased. Results/Conclusions: The obtained results demonstrated the beneficial effect of dietary intervention with OBG in accelerating the achievement of clinical remission in patients with UC. Full article

Considering the human-centric approach promoted by Industry 5.0, safety becomes a crucial aspect in scenarios of human–robot interaction, especially when abrupt human movements occur due to inattention or unexpected circumstances. To this end, human motion tracking is necessary to promote a safe and efficient human–machine interaction. Literature datasets related to the industrial context generally contain controlled and repetitive gestures tracked with visual systems or magneto-inertial measurement units (MIMUs), without considering the occurrence of unexpected events that might cause operators’ abrupt movements. Accordingly, the aim of this paper is to present the dataset DASIG (Dataset of Standard and Abrupt Industrial Gestures) related to both standard typical industrial movements and abrupt movements registered through MIMUs. Sixty healthy working-age participants were asked to perform standard pick-and-place gestures interspersed with unexpected abrupt movements triggered by visual or acoustic alarms. The dataset contains MIMUs signals collected during the execution of the task, data related to the temporal generation of alarms, anthropometric data of all participants, and a script for demonstrating DASIG usability. All raw data are provided, and the collected dataset is suitable for several analyses related to the industrial context (gesture recognition, motion planning, ergonomics, safety, statistics, etc.). Full article

The proliferation of disinformation on social media platforms poses a significant challenge to the reliability of online information ecosystems and the protection of public discourse. This study investigates the role of emotional sequences in detecting intentionally misleading messages disseminated on social networks. To this end, we apply a methodological pipeline that combines semantic segmentation, automatic emotion recognition, and sequential pattern mining. Emotional sequences are extracted at the subsentence level, preserving each message’s temporal order of emotional cues. Comparative analyses reveal that disinformation messages exhibit a higher prevalence of negative emotions, particularly fear, anger, and sadness, interspersed with neutral segments. Moreover, false messages frequently employ complex emotional progressions—alternating between high-intensity negative emotions and emotionally neutral passages—designed to capture attention and maximize engagement. In contrast, messages from reliable sources tend to follow simpler, more linear emotional trajectories, with a greater prevalence of positive emotions such as joy. Our dataset encompasses multiple categories of disinformation, enabling a fine-grained analysis of how emotional sequencing varies across different types of misleading content. Furthermore, we validate our approach by comparing it against a publicly available disinformation dataset, demonstrating the generalizability of our findings. The results highlight the importance of analyzing temporal emotional patterns to distinguish disinformation from verified content, reinforcing the value of integrating emotional sequences into machine learning pipelines to enhance disinformation detection. This work contributes to the growing body of research emphasizing the relationship between emotional manipulation and the virality of misleading content online. Full article

A titanium-based alloy, with niobium, tantalum and zirconium as its main alloying elements, and a small amount of oxygen, was subjected to a thermo-mechanical processing program consisting of hot and cold rolling interspersed with different solution treatments applied above the β-transus temperature. The objective was to analyze the correlation between structure, processing methods and resulting mechanical properties in order to find an appropriate optimized processing path to obtain suitable mechanical characteristics for application in hard tissue implantology. By using microstructural analysis, such as X-ray diffraction and scanning electron microscopy, a series of microstructural features were analyzed. The enthalpy of mixing—ΔHmix—and the atom size difference parameter—δ—were determined, through which the β-solid solution stability was estimated. Tensile tests were performed, through which the main mechanical characteristics were determined: a yield strength (0.2%) and ultimate tensile strength of around 550 MPa and 650 MPa, respectively, with a low Young’s modulus of 56–58 GPa and an improved elongation to fracture value of 17–18%, associated with a good mechanical osteo-compatibility parameter. Full article

The expansion of genomes is a major evolutionary force, yet its role in facilitating adaptation to extreme environments remains enigmatic. Here, we investigate alpine Parnassius butterflies, a rare genus characterized by exceptionally large genomes, to unravel the interplay between genome architecture and high-altitude colonization. We present a new, 1.46 Gb draft genome assembly for Parnassius epaphus and perform a comparative analysis across six species. Our findings reveal a massive 3- to 5-fold genome expansion driven predominantly by Long Interspersed Nuclear Elements (LINEs). Counterintuitively, we discover that larger genomes possess a proportionally smaller fraction of young, active transposable elements (TEs), challenging the prevailing paradigm that recent TE proliferation is the primary driver of genome size. Instead, our temporal analysis demonstrates that this expansion is a legacy of two ancient TE waves (~8 and ~14 Mya), which remarkably coincide with major uplift phases of the Tibetan Plateau. We propose a model where the selective retention of these ancient TEs, mechanistically linked to major geological upheavals, provided the crucial genomic plasticity for colonizing Earth’s most extreme terrestrial habitats. This study re-frames TEs not merely as genomic parasites but as pivotal architects of adaptive genome evolution in response to profound environmental change. Full article

Tuberculosis (TB), caused by Mycobacterium tuberculosis, continues to be a leading cause of morbidity and mortality in Mexico, with more than 20,000 new cases annually and a rising proportion of drug-resistant strains. This work addresses the molecular epidemiology of TB in the Mexican context, emphasizing its role in understanding transmission, genetic diversity, and resistance mechanisms. To achieve this, we reviewed molecular typing approaches including spoligotyping, Mycobacterial Interspersed Repetitive Unit–Variable Number Tandem Repeat (MIRU-VNTR) analysis, and whole-genome sequencing (WGS), which have been applied to characterize circulating lineages and identify drug-resistance-associated mutations. The results indicate that the Euro-American lineage (L4) predominates across the country, although significant regional variation exists, with Haarlem, LAM, T, and X sub lineages dominating in different states, and occasional detection of Asian (L2) and Indo-Oceanic (L1) lineages. Key resistance mutations were identified in katG, rpoB, pncA, and gyrA, contributing to the emergence of multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains, particularly in border and marginalized regions. These findings highlight how social factors, such as migration, urban overcrowding, and comorbidities including diabetes and HIV, influence transmission dynamics. We conclude that integrating molecular tools with epidemiological surveillance is crucial for strengthening public health strategies and guiding interventions tailored to Mexico’s heterogeneous TB burden. Full article

This paper advances beyond adversarial neural network methods by considering whether the underlying mathematics of neural networks contains inherent properties that can be exploited to fool neural networks. In broad terms, this paper will consider a neural network to be composed of a series of linear transformations between layers of the network, interspersed with nonlinear stages that serve to compress outliers. The input layer of the network is typically extremely high-dimensional, yet the final classification is in a space of a much lower dimension. This dimensional reduction leads to the existence of a null space, and this paper will explore how that can be exploited. Specifically, this paper explores the null space properties of neural networks by extending the null space definition from linear to nonlinear maps and discussing the presence of a null space in neural networks. The null space of a neural network characterizes the component of input data that makes no contribution to the final prediction so that we can exploit it to trick the neural network. One application described here leads to a method of image steganography. Through experiments on image data sets such as MNIST, it has been shown that the null space components can be used to force the neural network to choose a selected hidden image class, even though the overall image can be made to look like a completely different image. The paper concludes with comparisons between what a human viewer would see and the part of the image that the neural network is actually using to make predictions, hence showing that what the neural network “sees” is completely different than what we would expect. Full article

In-depth exploration of the spatial heterogeneity patterns of urban carbon emissions holds significant scientific importance for regional sustainable development. However, few scholars have examined the spatiotemporal characteristics of county-level carbon emissions in Inner Mongolia. This study focuses on the three major cities of Hohhot, Baotou, and Ordos in Inner Mongolia. By integrating NPP-VIIRS nighttime light data, the CLCD (China Land Cover Dataset) dataset, and statistical yearbooks, it quantifies county-level carbon emissions and establishes a spatiotemporal analysis framework of urban morphology–carbon emissions from 2013 to 2021. Six morphological indicators—Class Area (CA), Landscape Shape Index (LSI), Largest Patch Index (LPI), Patch Cohesion Index (COHESION), Patch Density (PD), and Interspersion Juxtaposition Index (IJI)—are employed to represent urban scale, complexity, centrality, compactness, fragmentation, and adjacency, respectively, and their impacts on regional carbon emissions are examined. Using a geographically and temporally weighted regression (GTWR) model, the results indicate the following: (1) from 2013 to 2021, The high-value areas of carbon emissions in the three cities show a clustered distribution centered on the urban districts. The total carbon emissions increased from 20,670 (10⁴ t/CO₂) to 37,788 (10⁴ t/CO₂). The overall spatial pattern exhibits a north-to-south increasing gradient, and most areas are projected to experience accelerated carbon emission growth in the future; (2) the global Moran’s I values were all greater than zero and passed the significance tests, indicating that carbon emissions exhibit clustering characteristics; (3) the GTWR analysis revealed significant spatiotemporal heterogeneity in influencing factors, with different cities exhibiting varying directions and strengths of influence at different development stages. The ranking of influencing factors by degree of impact is: CA > LSI > COHESION > LPI > IJI > PD. This study explores urban carbon emissions and their heterogeneity from both temporal and spatial dimensions, providing a novel, more detailed regional perspective for urban carbon emission analysis. The findings enrich research on carbon emissions in Inner Mongolia and offer theoretical support for regional carbon reduction strategies. Full article

Artificial intelligence (AI) has exploded in public awareness over recent years and is already beginning to reshape the health care sector. Yet, even as AI becomes more prevalent, it remains a mystery to many providers who lack hands-on exposure during their training or on the job. Intended for medical professionals, this article defines essential concepts in AI interspersed with illustrations of how such concepts may be applied within cardiology and radiology—fields that have garnered the most approved medical AI applications to date. No experience in the field of AI is requisite before reading. To assist providers encountering novel machine learning tools, we also present an AI model checklist to empower critical assessment. We finally discuss hurdles in the path of developing pediatric AI tools—including challenges distinct from the adult setting—and discuss potential solutions, including various methods of multisite collaboration. This article aims to increase the engagement of health care professionals who may encounter AI models in practice or who seek to become involved in AI development themselves. We encourage the reader the freedom to either peruse this article in its entirety or to reference specific concepts individually. Terminology central to machine learning is emphasized in bold. Full article

DNA methylation holds promise for the early detection of tissue damage, making it crucial for identifying polycyclic aromatic hydrocarbon (PAH)-associated epigenetic biomarkers in childhood asthma. Sulforaphane (SFN), as a potential epigenetic modulator, can alleviate the adverse effects of environmental pollutants. This study quantified serum PAHs in 370 children via gas chromatography–mass spectrometry, assessed the methylation of target genes using bisulfite sequencing PCR (BSP), and performed mediation analysis to estimate the mediating effects of methylation levels between PAHs and childhood asthma. Murine models exposed to PAHs prenatally or postnatally, with offspring challenged with ovalbumin (OVA), were analyzed for lung DNA methylation. In vitro, HBE cells and HBSMCs treated with benzo(a)pyrene (BaP) and/or SFN were tested for inflammatory cytokines, methylation-related enzymes, and matrix metallopeptidase 9 (MMP9) modifications. The results showed total PAHs were associated with childhood asthma, with mediating effects of long interspersed nuclear element-1 (LINE-1) methylation. Prenatal PAH exposure enriched differentially methylated genes in the extracellular matrix (ECM)-receptor interaction pathway, while postnatal exposure enriched those in purine metabolism, and postnatal exposure also elevated Mmp9 expression via hypomethylation. BaP increased the expression of interferon gamma (IFN-γ), interleukin-4 (IL-4), interleukin-17A (IL-17A), transforming growth factor beta 1 (TGF-β), and ten-eleven translocation methylcytosine dioxygenases (TETs), and it upregulated MMP9 via enhancer hypomethylation and H3K27ac enrichment, while SFN reversed these effects by downregulating histone methyltransferase (HMT), leading to reduced H3K4me1 and subsequent H3K27ac depletion, thus suppressing MMP9 transcription. This study demonstrates that DNA methylation mediates PAH–childhood asthma associations, with distinct patterns in different exposure windows; MMP9 could serve as a crucial target for epigenetic modification during lung inflammation induced by PAH exposure, and SFN reverses PAH-induced epigenetic changes, aiding prevention strategies. Full article

Cyclic scales are associated with convergents and semiconvergents of the continued fraction expansions of the generator tone. After each convergent, a scale lineage ends and another begins. Along a lineage, a constant number of generic accidentals are successively added to its first scale, becoming regularly interspersed. In this way, it is easier to know where each note is to go. This process, applied to the lineage of the 7-, 12-, and 17-tone scales, is related to expressive intonation. Such a concept is extended to larger scales with added microtones and it is described how they can be chosen in terms of the starting index of the scale. An automorphism in terms of the step and co-step indices associated with the two elementary intervals provides a two-dimensional representation that shares some common features with the musical staff. Full article