Common Signal Research Articles

Dynamically programable real-time controller for a 2D scanning fibre microscope

A programmable controller for a 2D Lissajous scanning fibre microscope is described. Source motion is based on a vibrating cantilever formed by dip-coating two cylindrical silica fibres. Orthogonal modes are excited by a piezoelectric actuator oriented at 45° to the principal axes. Back-scattered signals are detected using a mode-stripping photodiode to collect cladding modes in a dual numerical aperture confocal scheme. Optical feedback is generated by a shaped reflecting aperture with amplitude-coded reflectivity. Electrical pulses from the detector are separated into low- and high-mode feedback signals using window detectors. The low mode is excited at resonance using a phase-locked loop (PLL) containing a voltage-controlled oscillator (VCO). The high mode is driven off-resonance at a frequency derived from computer control of a second VCO. Amplitudes are corrected, and common frequency signals derived from the two motions using divide-by-N circuits are synchronised using additional PLLs. Programmable generation of Lissajous figures and imaging with dynamically variable scan density are demonstrated.

Vector coding and place coding in hippocampus share a common directional signal

Vector coding is a major mechanism by which neural systems represent an animal’s location in both global and local, item-based reference frames. Landmark vector cells (LVCs) in the hippocampus complement classic place cells by encoding vector relationships between the organism and specific landmarks. How these place- and vector-coding properties interact is not known. We recorded place cells and LVCs using calcium imaging of the CA1 region of freely moving rats during cue-card rotation studies. Place fields rotated around the center of the platform to follow the cue rotation, whereas the fields of simultaneously recorded LVCs rotated by the same amount around the nearby landmarks. Some neurons demonstrated conjunctive coding of both classic place field properties and LVC properties. These results demonstrate that CA1 neurons employ a common directional input, presumably provided by the head direction cell system, to encode animals’ locations in both world-centered and landmark-centered reference frames.

The MeerKAT Pulsar Timing Array: the 4.5-yr data release and the noise and stochastic signals of the millisecond pulsar population

ABSTRACT Pulsar timing arrays (PTAs) are ensembles of regularly observed millisecond pulsars timed to high precision. Each pulsar in an array could be affected by a suite of noise processes, most of which are astrophysically motivated. Analysing them carefully can be used to understand these physical processes. However, the primary purpose of these experiments is to detect signals that are common to all pulsars, in particular signals associated with a stochastic gravitational wave background. To detect this, it is paramount to appropriately characterize other signals that may otherwise impact array sensitivity or cause a spurious detection. Here, we describe the second data release and first detailed noise analysis of the pulsars in the MeerKAT Pulsar Timing Array, comprising high-cadence and high-precision observations of 83 millisecond pulsars over 4.5 yr. We use this analysis to search for a common signal in the data, finding a process with an amplitude of $\log _{10}{A_{\mathrm{ CURN}}} = -14.25^{+0.21}_{-0.36}$ and spectral index $\gamma _\mathrm{CURN} = 3.60^{+1.31}_{-0.89}$. Fixing the spectral index at the value predicted for a background produced by the inspiral of binary supermassive black holes, we measure the amplitude to be $\log _{10}{A_{\mathrm{ CURN}}} = -14.28^{+0.21}_{-0.21}$ at a significance expressed as a Bayes factor of $\ln (\mathcal {B}) = 4.46$. Under both assumptions, the amplitude that we recover is larger than those reported by other PTA experiments. We use the results of this analysis to forecast our sensitivity to a gravitational wave background possessing the spectral properties of the common signal we have measured.

Isobavachin attenuates FcεRI-mediated inflammatory allergic responses by regulating SHP-1-dependent Fyn/Lyn/Syk/Lck signaling

Isobavachin, isolated from Psoralea corylifolia L. exhibits therapeutic potential for osteoporosis or skin disease. Here, we evaluated the pharmacological effects of isobavachin on IgE-dependent inflammatory allergic reactions, as well as the underlying mechanisms, in bone marrow-derived mast cells and a mouse model of passive cutaneous anaphylaxis (PCA). Isobavachin reduced IgE/Ag-stimulated degranulation, eicosanoid (leukotriene C4 and prostaglandin D2) generation, and release of pro-inflammatory cytokines (tumor necrosis factor-α (TNF-α) and interleukin (IL)-6). Mechanistic studies revealed that isobavachin suppressed activation of Fyn, Lyn, spleen tyrosine kinase (Syk), and lymphocyte-specific-protein-kinase (Lck), receptor-proximal tyrosine kinases that initiate and play a central role in FcɛRI-mediated mast cell activation, as well as their common downstream signaling molecules including linker for activation of T cells, phospholipase Cγ1, AKT, mitogen-activated protein kinases (MAPKs), and intracellular Ca2+. Additionally, isobavachin increased phosphorylation of Src homology region 2 domain-containing phosphatase-1 (SHP-1), thereby strengthening its interaction with Syk and Lck as well as Fyn and Lyn, resulting in de-phosphorylation of these proximal tyrosine kinases. Genetic knockdown of SHP-1 reversed the inhibitory effects of isobavachin on mast cell activation, as well as the related signaling pathways, indicating that the inhibitory effects of isobavachin are mediated by negative regulation of SHP-1-dependent Fyn, Lyn, Syk and Lck. The anti-inflammatory properties of isobavachin were also examined in macrophages. Isobavachin suppressed production of lipopolysaccharide-stimulated production of pro-inflammatory cytokines and nitric oxide. Furthermore, oral administration of isobavachin attenuated mast cell-mediated PCA reactions in mice. These results suggest that isobavachin is a potential treatment for mast cell-mediated allergic inflammatory diseases.

The Influence of Body Language in Legal Settings

This paper examines the significant role of body language in legal environments and its implications for various courtroom participants, including jurors, judges, attorneys, and witnesses. While verbal communication remains the primary focus in courtrooms, non-verbal cues play a pivotal role in shaping perceptions of credibility, truth, and persuasion. The study reviews common body language signals and their interpretations, considering how these affect judgments, credibility assessments, and decision-making processes. By examining these dynamics, this research aims to highlight the importance of non-verbal communication in the legal field and propose strategies for legal professionals to utilize body language effectively to strengthen courtroom interactions and outcomes. Case studies provide real-world applications, demonstrating how an awareness of body language can impact trial outcomes and suggesting that training in non-verbal communication could be beneficial for legal professionals. Keywords: Body Language, Legal Communication, Non-verbal Cues, Credibility, Persuasion.

An Ionic Sensor acts in Parallel to dSarm to Promote Neurodegeneration.

How neurons to sense when they are terminally dysfunctional and activate neurodegeneration remains poorly defined. The pro-degenerative NAD + hydrolase dSarm/SARM1 can act as a metabolic sensor by detecting pathological changes in NAD + /NMN and subsequently induce catastrophic axon degeneration. Here we show Drosophila with-no-lysine kinase (dWnk), which can directly sense Cl - , K + and osmotic pressure, is required for neurodegeneration induced by depletion of the NAD + biosynthetic enzyme dNmnat. dWnk functions in parallel to dSarm and acts through the downstream kinase Frayed to promote axon degeneration and neuronal cell death. dWnk and dSarm ultimately converge on the BTB-Back domain molecule Axundead (Axed) to execute neurodegeneration. Our work argues that neurons use direct sensors of both metabolism (dSarm/SARM1) and ionic/osmotic status (dWnk) to evaluate cellular health and, when dysfunctional, promote neurodegeneration though a common axon death signaling molecule, Axundead.

Chemical quantification of N-acyl alanine methyl ester (NAME) production and impact on temporal gene expression patterns in Roseovarius tolerans EL-164

BackgroundPrevious studies have identified structurally diverse N-acyl amino acid methyl esters (NAMEs) in culture extracts of Roseovarius tolerans EL-164 (Roseobacteraceae). NAMEs are structural analogues of the common signaling compounds N-acyl homoserine lactones (AHLs), but do not participate in AHL-mediated signaling. NAMEs show minor antialgal and antimicrobial activity, but whether this activity serves as the primary ecological role remains unclear.ResultsTo enable dose-dependent bioactivity-testing, we have established a chromatographic method for quantification of NAMEs in bacterial culture extracts. The concentrations determined for the two major NAMEs produced by EL-164, C16:1-NAME and C17:1-NAME, ranged between 0.685 and 5.731 mg L− 1 (2.0-16.9 µM) and 5.3–86.4 µg L− 1 (15.0-244.3 nM), respectively. Co-quantification of the C14:1-AHL showed concentrations ranging between 17.5 and 58.7 mg L− 1 (56.6-189.7 µM). We observed distinct production patterns for NAMEs and AHLs, with a continuous NAME production during the entire incubation period. We conducted a spike-in experiment, using the determined metabolite concentrations. By comparing the transcriptomes of pre- and post-metabolite-spikes, we identified three clusters of differentially expressed genes with distinct temporal expression patterns. Expression levels of stress response genes differed between NAME- and AHL-spiked EL-164 cultures in the stationary phase.ConclusionsOur findings support previous studies suggesting an ecological role for C16:1-NAME as antibiotic, by proving that NAME concentrations in batch cultures were higher than the minimal inhibitory concentrations against Maribacter sp. 62 − 1 (Flavobacteriia) and Skeletonema costatum CCMP 1332 (Coscinodiscophyceae) reported in the literature. Our study further exemplified the broad application range of dose-dependent testing and highlighted the different biological activities of NAMEs and AHLs.

Generalized composite multiscale improved diversity entropy and its application to diesel injector fault feature extraction and diagnosis

The diesel injector is the core component of marine diesel engines, and its health monitoring is one of the keys to ensuring the efficient and reliable operation of diesel engines and even ships. However, extracting effective feature information from nonlinear dynamic signals is the difficulty in realizing intelligent fault diagnosis of diesel fuel injectors. The existing diversity entropy (DE) is an advanced algorithm for extracting fault features. Still, it has the problem of failing to obtain sufficiently effective fault features, thus affecting diagnostic accuracy due to its inherent defects. To solve the above problem, a new generalized composite multiscale improved diversity entropy (GCMIDE) is first proposed, and the comparative advantages of the proposed entropy in terms of consistency, robustness, and computational efficiency are verified with common noise-simulated signals. GCMIDE is further utilized as an excellent means of feature extraction, and a new injector fault diagnosis method, GCMIDE-Relieff-SSA-BP, is proposed to meet the needs of efficiency and practicality in fault diagnosis. Finally, the method is adopted for the diagnostic experiments of diesel fuel injectors with different fault types and different fault degrees for full validation. The experimental results all indicate that, in comparison with six commonly used entropy-based fault diagnosis methods, the proposed method has the best feature extraction performance and fault diagnosis accuracy under a different number of features or different training sample ratios. This provides an effective tool for fault diagnosis of injectors and even intelligent operation and maintenance of diesel engines.

MIMIC-BP: A curated dataset for blood pressure estimation

Blood pressure (BP) is one of the most prominent indicators of potential cardiovascular disorders. Traditionally, BP measurement relies on inflatable cuffs, which is inconvenient and limit the acquisition of such important health-related information in general population. Based on large amounts of well-collected and annotated data, deep-learning approaches present a generalization potential that arose as an alternative to enable more pervasive approaches. However, most existing work in this area currently uses datasets with limitations, such as lack of subject identification and severe data imbalance that can result in data leakage and algorithm bias. Thus, to offer a more properly curated source of information, we propose a derivative dataset composed of 380 hours of the most common biomedical signals, including arterial blood pressure, photoplethysmography, and electrocardiogram for 1,524 anonymized subjects, each having 30 segments of 30 seconds of those signals. We also validated the proposed dataset through experiments using state-of-the-art deep-learning methods, as we highlight the importance of standardized benchmarks for calibration-free blood pressure estimation scenarios.

Combined therapy with pirfenidone and nintedanib counteracts fibrotic silicosis in mice.

Pneumoconiosis, especially silicosis, is a prevalent occupational disease with substantial global economic implications and lacks a definitive cure. Both pneumoconiosis and idiopathic pulmonary fibrosis (IPF) are interstitial lung diseases, which share many common physiological characteristics. Because pirfenidone and nintedanib are approved to treat IPF, their potential efficacy as antifibrotic agents in advanced silicosis deserves further exploration. Thus, we aimed to evaluate the individual and combined effects of pirfenidone and nintedanib in treating advanced silicosis mice and elucidate the underlying mechanisms of their therapeutic actions via multiomics. We administered monotherapy or combined therapy of pirfenidone and nintedanib, with low and high doses, in silicosis established after 6weeks and evaluated lung function, inflammatory responses and fibrotic status. Additionally, we employed transcriptomic and metabolomic analyses to uncover the mechanisms underlying different therapeutic strategies. Both pirfenidone and nintedanib were effective in treating advanced silicosis, with superior outcomes observed in combination therapy. Transcriptomic and metabolomic analyses revealed that pirfenidone and nintedanib primarily exerted their therapeutic effects by modulating immune responses, signalling cascades and metabolic processes involving lipids, nucleotides and carbohydrates. Furthermore, we experimentally validated both monotherapy and combined therapy yielded therapeutic benefits through two common signalling pathways: steroid biosynthesis and purine metabolism. In conclusion, pirfenidone and nintedanib, either individually or in combination, demonstrate substantial potential in advanced silicosis. Furthermore, combined therapy outperformed monotherapy, even at low doses. These therapeutic benefits are attributed to their influence on diverse signalling pathways and metabolic processes.

Circulating Micro-RNAs Predict the Risk of Recurrence in Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with a high tendency for developing a recurrent disease. Circulating micro-RNAs (cmiRNAs) obtained through liquid biopsy are potential prognostic biomarkers for the assessment of TNBC recurrence risk. In this study, we sequenced cmiRNAs from the serum samples of 14 recurrent and 19 non-recurrent TNBC cases and compared expression profiles in relation to recurrence status, survival data and miRNA expression in matched tumor samples. Differential expression analysis between recurrent and non-recurrent cases identified ten differentially expressed (DE) cmiRNAs, of which cmiRNAs miR-21-5p (p = 0.030, HR = 1.87, 95% CI 1.06-3.30), miR-16-5p (p = 0.032, HR = 0.53, 95% CI 0.30-0.95), and miR-26b-5p (p = 0.023, HR = 0.52, 95% CI 0.29-0.91) were associated with recurrence-free survival in multivariable survival analysis. Expression profiles of matched tumor and serum samples were shown to correlate with each other. DE cmiRNAs were associated with common cancer-related signaling pathways and improved the overall predictive performance of the logistic regression model assessing the recurrence risk. Our results indicate that recurrent and non-recurrent TNBC differ in their cmiRNA expression profiles, and that three specific cmiRNAs can be used to assess the risk of recurrence in TNBC.

Phosphorylation-dependent activation of the bHLH transcription factor ICE1/SCRM promotes polarization of the Arabidopsis zygote.

In Arabidopsis thaliana, the asymmetric cell division (ACD) of the zygote gives rise to the embryo proper and an extraembryonic suspensor, respectively. This process is controlled by the ERECTA-YODA-MPK3/6 receptor kinase-MAP kinase-signaling pathway, which also orchestrates ACDs in the epidermis. In this context, the bHLH transcription factor ICE1/SCRM is negatively controlled by MPK3/6-directed phosphorylation. However, it is unknown whether this regulatory module is similarly involved in the zygotic ACD. We investigated the function of SCRM in zygote polarization by analyzing the effect of loss-of-function alleles and variants that cannot be phosphorylated by MPK3/6, protein accumulation, and target gene expression. Our results show that SCRM has a critical function in zygote polarization and acts in parallel with the known MPK3/6 target WRKY2 in activating WOX8. Our work further demonstrates that SCRM activity in the early embryo is positively controlled by MPK3/6-mediated phosphorylation. Therefore, the effect of MAP kinase-directed phosphorylation of the same target protein fundamentally differs between the embryo and the epidermis, shedding light on cell type-specific, differential gene regulation by common signaling pathways.

Misincorporations of amino acids in p53 in human cells at artificially constructed termination codons in the presence of the aminoglycoside Gentamicin.

Readthrough of a translation termination codon is regulated by ribosomal A site recognition and insertion of near-cognate tRNAs. Small molecules exist that mediate incorporation of amino acids at the stop codon and production of full-length, often functional protein but defining the actual amino acid that is incorporated remains a challenging area. Herein, we report on the development a human cell model that can be used to determine whether rules can be developed using mass spectrometry that define the type of amino acid that is placed at a premature termination codon (PTC) during readthrough mediated by an aminoglycoside. The first PTC we analyzed contained the relatively common cancer-associated termination signal at codon 213 in the p53 gene. Despite of identifying a tryptic peptide with the incorporation of an R at codon 213 in the presence of the aminoglycoside, there were no other tryptic peptides detected across codon 213 that could be recovered; hence we constructed a more robust artificial PTC model. P53 expression plasmids were developed that incorporate a string of single synthetic TGA (opal) stop codons at S127P128A129 within the relatively abundant tryptic p53 peptide 121-SVTCTYSPALNK-132. The treatment of cells stably expressing the p53-TGA129 mutation, treated with Gentamicin, followed by immunoprecipitation and trypsinization of p53, resulted in the identification R, W, or C within the tryptic peptide at codon-TGA129; as expected based on the two-base pairing of the respective anticodons in the tRNA to UGA, with R being the most abundant. By contrast, incorporating the amber or ochre premature stop codons, TAA129 or TAG129 resulted in the incorporation of a Y or Q amino acid, again as expected based on the two base pairings to the anticodons, with Q being the most abundant. A reproducible non-canonical readthrough termination codon-skip event at the extreme C-terminus at codon 436 in the SBP-p53 fusion protein was detected which provided a novel assay for non-canonical readthrough at an extreme C-terminal PTC. The incorporation of amino acids at codons 127, 128, or 129 generally result in a p53 protein that is predicted to be 'unfolded' or inactive as defined by molecular dynamic simulations presumably because the production of mixed wild-type p53 and mutant oligomers are known to be inactive through dominant negative effects of the mutation. The data highlight the need to not only produce novel small molecules that can readthrough PTCs or C-terminal termination codons, but also the need to design methods to insert the required amino acid at the position that could result in a 'wild-type' functional protein.

Autoinducer-2 relieves soil stress-induced dormancy of Bacillus velezensis by modulating sporulation signaling

The collective behavior of bacteria is regulated by quorum sensing (QS). Autoinducer-2 (AI-2) is a common QS signal that regulates the behavior of both Gram-positive and Gram-negative bacteria. Despite the plethora of processes described to be influenced by AI-2 in diverse Gram-negative bacteria, the AI-2-regulated processes in Bacilli are relatively unexplored. Here, we describe a novel function for AI-2 in Bacillus velezensis SQR9 related to the sporulation. AI-2 inhibited the initiation of sporulation through the phosphatase RapC and the DNA binding regulator ComA. Using biochemistry experiments, we demonstrated that AI-2 interacts with RapC to stimulate its binding to ComA, which leads to an inactive ComA and subsequently a sporulation inhibition. The AI-2 molecule could be shared across species for inhibiting Bacillus sporulation and it also plays the same role in different soil conditions. Our study revealed a novel function and regulatory mechanism of AI-2 in inhibiting sporulation in Bacilli.

Using multiple drug similarity networks to promote adverse drug event detection

The occurrence of an adverse drug event (ADE) has become a serious social concern of public health. Early detection of ADEs can lower the risk of drug safety as well as the expense of the drug. While post-market spontaneous reports of ADEs remain a cornerstone of pharmacovigilance, most existing signal detection algorithms rely on substantial accumulated data, limiting their applicability to early ADE detection when reports are scarce. To address this issue, we propose a label propagation model for generating enhanced drug safety signals using multiple drug features. We first construct multiple drug similarity networks using a range of drug features. We then calculate initial drug safety signals using conventional signal detection algorithms. These original signals are subsequently propagated across each drug similarity network to obtain enhanced drug safety signals. We evaluate our proposed model using two common signal detection algorithms on data from the FDA Adverse Event Reporting System (FAERS). Results demonstrate that enhanced drug safety signals with pre-clinical information outperform the standard safety signal detection algorithms on early ADE detection. In addition, we systematically evaluate the performance of different drug similarities against different types of ADEs. Furthermore, we have developed a web interface (http://drug-drug-sim.aimedlab.net/) to display our multiple drug similarity scores, facilitating access to this valuable resource for drug safety monitoring.

Mining and analysis of adverse event signals of vandetanib based on the FAERS database.

By analyzing the signal mining of vandetanib AEs, it provides a reference for the rational clinical use of the drug. This study provides signal detection and analysis of AEs associated with vandetanib using the FAERS from Q2 2011 to Q1 2023. Disproportionality analyses were conducted using the ROR and the MHRA method, with AEs categorized and described based on SOC and PT from the MedDRA. A total of 1,721 AEs reports identified vandetanib as the primary suspect. The analyses yielded 187 AEs signals across 20 SOCs categories, with 47 signals not previously reported in the vandetanib labeling. Additionally, the study analyzes factors influencing AEs. The results are as follows: There are significant differences in Investigations based on gender and nationality (p < 0.05); skin and subcutaneous tissue disorders and gastrointestinal disorders exhibit differences based on gender, age, and nationality (p < 0.05). Common AEs signals identified align with those documented in the drug labeling. However, AEs such as tumor lysis syndrome, skin discoloration, and pigmentary disorders, which are not listed in the labeling, warrant special attention. It is essential that abnormalities in patients' skin and laboratory indicators are closely monitored and addressed promptly to safeguard medication safety.

How a non harmonic-like tremor at a volcanic lake could be caused by sustained wind: A case of study of Taupō volcano

Taupō volcano lies underneath the largest lake in New Zealand. It undergoes unrest roughly every ten years, has minor eruptions every few hundred years, and has supereruptions. Understanding volcanic seismic signals provides insights into the volcano dynamics and helps to anticipate eruptions. Harmonic and non-harmonic volcanic tremor are common signals that indicate fluid mobilisation in volcanic systems. We observed a signal that resembled non-harmonic tremor during 2019 at Taupō volcano. Careful time-frequency analysis of seismic data and weather data from around the lake revealed that the signals were not magmatic in origin, but were most likely from lake microseisms caused by special conditions of the wind, which generates wind-driven waves in the lake. The frequency range of lake microseisms at Taupō starts and ends with a dominant frequency of 0.7–1.0 Hz, and during the maximum energy peak, the dominant frequency is of 0.50–0.56 Hz. Such signals may be common in caldera lakes, which need to be distinguished from tremor caused by volcanic activity, so as not to exaggerate the probability of eruptions.

An Overview of the Current State of Research on Immune Expression in Acupuncture for Insomnia Based on the Relationship between Sleep and Immunity

Sleep is a resting state under the action of the sleep-wake center, regulated by the nerve, endocrine and immune, and any change in the content of any of the substances involved in sleep may break the delicate balance between them, affecting the normal progression of sleep and thus insomnia. Cytokines are the common language signals of the three major systems of neuro-endocrine-immune, and play an important role in inflammation and immune response. Therefore, the relationship between insomnia and immune factors has also become a hot research topic in recent years. A large number of studies have shown that acupuncture has a clear regulatory effect on immune function, so based on the relationship between sleep and immunity to acupuncture treatment of insomnia as an entry point, to explore the current status of immune research on acupuncture treatment of insomnia, in order to provide certain thinking for the integration of in-depth research afterward.

Wide Frequency Multiphase Oscillator Designed by Coupling Two Identical Ring Voltage Controlled Oscillators

ABSTRACTThis work presents a novel wide tuning range ring voltage controlled oscillator (RVCO) designed to generate six‐phase signals. The proposed circuit is realized by coupling two identical three‐stage single‐ended inverter‐based RVCOs. The coupling network injects the common mode signals from one RVCO to the other one and vice versa in a cross‐connected manner. Three‐stage RVCOs used for coupling have been configured by modifying the conventional current‐starved RVCO. The proposed six‐phase RVCO is optimized using an improved version of non‐dominated Sorting Genetic Algorithm III (NSGAIII). In this algorithm, the sigma scaling method is used to control selection pressure and enhance the algorithm's performance. The proposed RVCO oscillates at 3.46 GHz. It can operate from 970 MHz to 4 GHz with a supply voltage of 1.5 V, demonstrating a wide frequency tuning range of 120%. Additionally, another six‐phase oscillator is proposed, achieved by capacitively coupling two identical three‐stage RVCOs. Both proposed oscillators are designed in TSMC 0.18 μm CMOS technology.

Sources of seismic noise in an open-pit mining environment

We present the characterization of the sources of vibration in the open-pit Riotinto mine (southern Spain), based on the data recorded by a dense seismic network of 30 stations located along a 1-km long segment of a tailings dam. We describe the most common transient signals detected, including local and distant earthquakes, blasting and vehicles. The time variations in the amplitude of the 10–40 Hz frequency band are then used to define three phases of activity during the recording period. The phase with the highest seismic amplitudes is observed during a time interval of five weeks, coinciding with the civil works carried out for the regrowth of the dam, necessary to correctly capture the continuously increasing amount of tailings. In the last three months of operation of our network, the seismic noise is dominated by the deposition of tailings into the pond, enabling the use of seismic data to monitor into detail the evolution of the deposition process.