Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Word Discrimination and Matching in Query-by-Example Spoken term detection with Acoustic Word Embeddings

In this paper, we propose a novel approach to enhance query-by-example spoken term detection using Acoustic Word Embeddings (AWEs). Our AWEs model combines CNN and LSTM layers to capture sequential information and generate fixed-dimensional word-level embed-dings. To address the challenge of distinguishing between words, we introduce a deep word discrimination loss that enhances embedding discrimination. Additionally, we employ an embedding-matching scheme based on cosine similarity computation and sliding window smoothing. Our experimental re-sults demonstrate the effectiveness of our approach in word discrimination tasks, achieving high mean Average Precision scores and out-performing baseline models. Moreover, our embedding-matching scheme shows promising performance in query-by-example spoken term detection, opening up possibilities for advancements in audio indexing and search techniques.
Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year

Twitter has become an important platform for political discussions among both politicians and the public and was extensively used during the 2021 federal election in Germany. Previous research examined the sentiment of the major political actors during that election on Twitter, but it remains unclear how the German public responded to them on Twitter in terms of sentiment. We analyzed a corpus of 713,742 tweets mentioning the Twitter handle of 89 of the most important party and politician accounts. We annotated a subset of 2,000 of these tweets regarding their sentiment and used this and other annotated corpora to implement and evaluate sentiment analysis algorithms based on single-label classification (positive, negative and neutral). We achieved best results with the German BERT model gbert-large using a combination of our annotated corpus and a previously annotated corpus from the same context as training material. This model achieves an average accuracy of 81.8% in a 5x5 cross-validation setting. Applying sentiment analysis on the overall corpus revealed that the majority of the tweets expressed negative sentiments. We investigated sentiment developments per party and show that sentiment was driven by significant events such as the implementation of stricter COVID-19 regulations.
Functional brain adaptations during speech processing in 4-month-old bilingual infants

Language learning is influenced by both neural development and environmental experiences. This work investigates the influence of early bilingual experience on the neural mechanisms underlying speech processing in 4-month-old infants. We study how an early environmental factor such as bilingualism interacts with neural development by comparing monolingual and bilingual infants’ brain responses to speech. We used functional near-infrared spectroscopy (fNIRS) to measure 4-month-old Spanish-Basque bilingual and Spanish monolingual infants’ brain responses while they listened to forward (FW) and backward (BW) speech stimuli in Spanish. We reveal distinct neural signatures associated with bilingual adaptations, including increased engagement of bilateral inferior frontal and temporal regions during speech processing in bilingual infants, as opposed to left hemispheric specialization observed in monolingual infants. This study provides compelling evidence of bilingualism-induced brain adaptations during speech processing in infants as young as four months. These findings emphasize the role of early language experience in shaping neural plasticity during infancy suggesting that bilingual exposure at this young age profoundly influences the neural mechanisms underlying speech processing. Research Highlights This research sheds light on the intricate relationship between language learning, neural maturation, and environmental factors in early infancy. Bilingual infants exhibit unique functional brain adaptations during speech processing as early as 4 months of age. This study underscores the critical role of language experience in shaping the developing brain. These findings have implications for our understanding of language acquisition and neuroplasticity in infants growing up in bilingual environments.
Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with periodic stimulation: a modelling study

Periodic brain stimulation (PBS) techniques, either intracranial or non-invasive, electrical or magnetic, represent promising neuromodulatory tools for the treatment of neurological and neuropsychiatric disorders. Through the modulation of endogenous oscillations, PBS may engage synaptic plasticity, hopefully leading to persistent lasting effects. However, stabilizing such effects represents an important challenge: the interaction between induced electromagnetic fields and neural circuits may yield highly variable responses due to heterogeneous neuronal and synaptic biophysical properties, limiting PBS clinical potential. In this study, we explored the conditions on which PBS leads to amplified post-stimulation oscillatory power, persisting once stimulation has been turned off. We specifically examined the effects of heterogeneity in neuron time scales on post-stimulation dynamics in a population of balanced leaky-integrated and fire (LIF) neurons that exhibit synchronous-irregular spiking activity. Our analysis reveals that such heterogeneity enables PBS to engage synaptic plasticity, amplifying post-stimulation power. Our results show that such post-stimulation aftereffects result from selective frequency- and cell-type-specific synaptic modifications. We evaluated the relative importance of stimulation-induced plasticity amongst and between excitatory and inhibitory populations. Our results indicate that heterogeneity in neurons’ time scales and synaptic plasticity are both essential for stimulation to support post-stimulation aftereffects, notably to amplify the power of endogenous rhythms.
Synaptic vesicle release regulates pre-myelinating oligodendrocyte-axon interactions in a neuron subtype-specific manner

Oligodendrocyte-lineage cells are central nervous system (CNS) glia that perform multiple functions including the selective myelination of some but not all axons. During myelination, synaptic vesicle release from axons promotes sheath stabilization and growth on a subset of neuron subtypes. In comparison, it is unknown if pre-myelinating oligodendrocyte process extensions selectively interact with specific neural circuits or axon subtypes, and whether the formation and stabilization of these neuron-glia interactions involves synaptic vesicle release. In this study, we used fluorescent reporters in the larval zebrafish model to track pre-myelinating oligodendrocyte process extensions interacting with spinal axons utilizing in vivo imaging. Monitoring motile oligodendrocyte processes and their interactions with individually labeled axons revealed that synaptic vesicle release regulates the behavior of subsets of process extensions. Specifically, blocking synaptic vesicle release decreased the longevity of oligodendrocyte process extensions interacting with reticulospinal axons. Furthermore, blocking synaptic vesicle release increased the frequency that new interactions formed and retracted. In contrast, tracking the movements of all process extensions of singly-labeled oligodendrocytes revealed that synaptic vesicle release does not regulate overall process motility or exploratory behavior. Blocking synaptic vesicle release influenced the density of oligodendrocyte process extensions interacting with reticulospinal and serotonergic axons, but not commissural interneuron or dopaminergic axons. Taken together, these data indicate that alterations to synaptic vesicle release cause changes to oligodendrocyte-axon interactions that are neuron subtype specific.
Secondary bile acid production by gut bacteria promotes Western diet-associated colorectal cancer

Western diet is an important risk factor for the development of sporadic colorectal cancer (CRC). Dietary fat stimulates bile acid (BA) production by the host and their conversion to secondary BAs by 7α-dehydroxylating (7αDH+) bacteria, but causal proof of their tumor-promoting effects in vivo is lacking. To address this, we performed feeding studies in a genetically engineered pig model of CRC combined with multi-omics analyses and gnotobiotic mouse studies. Western diet worsened the disease phenotype in APC1311/+ pigs. This was accompanied by microbiota changes, increased levels of the secondary bile acid deoxycholic acid (DCA), and higher colonic epithelial cell proliferation. The latter was counteracted by using the BA-scavenging drug colestyramine. Metagenomic analysis across multiple cohorts revealed higher occurrence of bai (BA inducible) operons from Clostridium scindens and close relatives in stool of CRC subjects (n = 1,034). Using two gnotobiotic mouse models of CRC, we demonstrate that colonization with 7αDH+ bacteria (C. scindens or Extibacter muris) increased colonic tumor loads. This work provides clear evidence for the causal role of microbiome-derived DCA production in CRC under detrimental dietary conditions, opening avenues for future preventive strategies.
Suppression of transcytosis regulates zebrafish blood-brain barrier development

As an optically transparent model organism with an endothelial blood-brain barrier (BBB), zebrafish offer a powerful tool to study the vertebrate BBB. However, the precise developmental profile of functional zebrafish BBB acquisition and the subcellular and molecular mechanisms governing the zebrafish BBB remain poorly characterized. Here we find a spatiotemporal gradient of barrier acquisition. Moreover, we capture the dynamics of developmental BBB leakage using live imaging, revealing a combination of steady accumulation in the parenchyma and sporadic bursts of tracer leakage. Electron microscopy studies further reveal that this steady accumulation results from high levels of transcytosis that are eventually suppressed, sealing the BBB. Finally, we demonstrate a key mammalian BBB regulator Mfsd2a, which inhibits transcytosis, plays a conserved role in zebrafish. Mfsd2aa mutants display increased larval and adult BBB permeability due to increased transcytosis. Our findings indicate a conserved developmental program of barrier acquisition between zebrafish and mice.
Joint signatures of morphological and microstructural inter-individual variation in the Alzheimer’s spectrum

Alzheimer’s disease (AD) is primarily characterized by the accumulation of amyloid and tau pathologies. However, alterations in the detailed organization and composition of neural tissue also contribute to the disease’s early stages. Here, we sought to explore whether hippocampal and cortical microstructural changes, such as myelin alterations and inflammation-mediated increases in iron, could serve as indices of AD-related pathophysiology. In this study, we included 158 participants across the AD spectrum: from individuals without cognitive impairment, at high risk for AD, in the prodromal phase with mild cognitive impairment, and suffering from clinical dementia. We measured atrophy using structural magnetic resonance imaging (MRI) and estimated myelin and iron content using quantitative MRI (qMRI) metrics derived from T1 and T2* relaxation, times respectively. We integrated these contrasts to estimate a joint multivariate signature of tissue alterations across the cortex and hippocampus using non-negative matrix factorization. The relevance of these signatures to AD-spectrum measures of medical history, lifestyle, and cognition were further explored using partial least squares correlation. Our results reveal lower disease-related cortical thickness over large areas of the cortex while T2* provided specific variation across the brain (lower in dorsomedial and superior temporal areas, superior frontal cortex, and premotor cortex, and higher in the occipital lobe). Additionally, we observed longer T1 and T2* times in the hippocampus associated with specific lifestyle risk factors like past smoking, high blood pressure, high cholesterol levels, and higher anxiety. These patterns were significantly related to older age, associated with AD progression, being female, and being an APOE-□4 carrier. Taken together, our results suggest that qMRI metrics could serve as a valuable non-invasive tool for exploring the role of myelin and inflammation in AD-related pathophysiology and could be sensitive to modifiable risk factors related to lifestyle and medical history. Future studies may use these signatures to investigate their relationship in investigations related to lifestyle interventions or novel therapeutics.
Vagus nerve stimulation (VNS) modulates synaptic plasticity in the rat infralimbic cortex via Trk-B receptor activation to reduce drug-seeking

Drugs of abuse cause changes in the prefrontal cortex (PFC) and associated regions that impair inhibitory control over drug-seeking. Breaking the contingencies between drug-associated cues and the delivery of the reward during extinction learning reduces relapse. Vagus nerve stimulation (VNS) has previously been shown to enhance extinction learning and reduce drug-seeking. Here we determined the effects of VNS-mediated release of brain-derived neurotrophic factor (BDNF) on extinction and cue-induced reinstatement in rats trained to self-administer cocaine. Pairing 10 days of extinction training with VNS facilitated extinction and reduced drug-seeking behavior during reinstatement. Rats that received a single extinction session with VNS showed elevated BDNF levels in the medial PFC as determined via an enzyme-linked immunosorbent assay (ELISA). Systemic blockade of Tropomyosin receptor kinase B (TrkB) receptors during extinction, via the TrkB antagonist ANA-12, decreased the effects of VNS on extinction and reinstatement. Whole-cell recordings in brain slices showed that cocaine self-administration induced alterations in the ratio of AMPA and NMDA receptor-mediated currents in layer 5 pyramidal neurons of the infralimbic cortex (IL). Pairing extinction with VNS reversed cocaine-induced changes in glutamatergic transmission by enhancing AMPAR currents, and this effect was blocked by ANA-12. Our study suggests that VNS consolidates extinction of drug-seeking behavior by reversing drug-induced changes in synaptic AMPA receptors in the IL, and this effect is abolished by blocking TrkB receptors during extinction, highlighting a potential mechanism for the therapeutic effects of VNS in addiction. Significance Statement Extinction training can reverse maladaptive neuroplasticity induced by drugs of abuse, but adjunct treatments are sought that can facilitate the process and consolidate the newly formed memories. Pairing extinction training with vagus nerve stimulation (VNS) facilitates extinction and reduces drug-seeking behavior during reinstatement. Here, we show that rats receiving a single extinction session with VNS exhibit elevated brain-derived neurotrophic factor (BDNF) levels in the medial prefrontal cortex (mPFC). We also demonstrate that VNS consolidates the extinction of drug-seeking behavior by reversing cocaine-induced changes in synaptic AMPA receptors in the infralimbic cortex (IL) of the mPFC. This effect is blocked by the TrkB antagonist ANA-12, emphasizing the role of BDNF and TrkB receptors in the therapeutic effects of VNS in addiction.
Neurocan regulates axon initial segment organization and neuronal activity in cultured cortical neurons

The neural extracellular matrix (ECM) accumulates in the form of perineuronal nets (PNNs), particularly around fast-spiking GABAergic interneurons in the cortex and hippocampus, but also in association with the axon initial segments (AIS) and nodes of Ranvier. Increasing evidence highlights the role of Neurocan (Ncan), a brain-specific component of ECM, in the pathophysiology of neuropsychiatric disorders like bipolar disorder and schizophrenia. Ncan localizes at PNNs, nodes of Ranvier and the AIS, highlighting its potential role in regulation of axonal excitability. Here, we used knockdown and knockout approaches in mouse primary cortical neurons in combination with immunocytochemistry, western blotting and electrophysiological techniques to characterize the role of Ncan in the organization of PNNs and AIS and in the regulation of neuronal activity. We found that reduced Ncan levels led to remodeling of PNNs around neurons via upregulated Aggrecan mRNA and protein levels, increased expression of activity-dependent c-Fos and FosB genes and elevated spontaneous synaptic activity. The latter correlated with increased levels of Ankyrin-G in the AIS particularly in excitatory neurons, and with the elevated expression of Nav1.6 channels. Our results suggest that Ncan regulate expression of key proteins in PNNs and AISs and provide new insights into its role in the fine-tuning of neuronal functions.
Supercontinuum intrinsic fluorescence imaging heralds ‘free view’ of living systems

Optimal imaging strategies remain underdeveloped to maximize information for fluorescence microscopy while minimizing the harm to fragile living systems. Taking hint from the supercontinuum generation in ultrafast laser physics, we generated ‘supercontinuum’ fluorescence from untreated unlabeled live samples before nonlinear photodamage onset. Our imaging achieved high-content cell phenotyping and tissue histology, identified bovine embryo polarization, quantified aging-related stress across cell types and species, demystified embryogenesis before and after implantation, sensed drug cytotoxicity in real-time, scanned brain area for targeted patching, optimized machine learning to track small moving organisms, induced two-photon phototropism of leaf chloroplasts under two-photon photosynthesis, unraveled microscopic origin of autumn colors, and interrogated intestinal microbiome. The results enable a facility-type microscope to freely explore vital molecular biology across life sciences.
Evaluation Of Micronutrient Application Method And Irrigation Stopping On Yield And Yield Component Of Grain Corn In Urmia( North-West Of Iran)

In order to evaluation of micronutrient using meth od and irrigation stopping in different stages of development on yield and yield components of grain corn an expriment in crop year 2011 in the form of split plot design in complete randomized blocks plate in three replications in agriculture and natural resou rces of west Azarbaijan province site was done. The exprimental factors include irrigatio n as a majer factor in four levels I 1 (irrigation stopping at stem elongation stage), I 2(irrigation stopping in inflorescence appearance stage), I 3 (irrigation stopping in grain filling stage) and I 4(not stopping irrigation) respectively and fertilizers levels as sub factors consisting of three methods micronutrient elements consumption (Fe, Br, Zn, Mn and Cu) in three levels include F1(not using micronutrient elements), F 2(soil application of micronutrients) and F3(foliar application of micronutrients) respectively . Analysis of variance results showed that different levels of irrigation was sign ificant on all traits and consumption of micrountrient elements had a significant effect on all traits except harvest index. Irrigation and fertilizer interaction was not signi ficant on all studied traits. The highest yield in complete irrigation treatment and spraying of micronutrients elements respectively was obtained with an average of 13320 and 12260 kg/he. The results of this expriement showed that the most critical stage of corn growth to irrigation was inflorescence and grain filling also the lowest yie ld and yield compounds of corn was achieved in the treatment of not using micronutrien t and micronutrients spraying was a superior in comparison by soil application method.
Improving the Effectiveness of Time-Based Display Advertising

Display advertisements are typically sold by the impression, where one impression is simply one download of an ad. Previous work has shown that the longer an ad is in view, the more likely a user is to remember it and that there are diminishing returns to increased exposure time [Goldstein et al. 2011]. Since a pricing scheme that is at least partially based on time is more exact than one based solely on impressions, time-based advertising may become an industry standard. We answer an open question concerning time-based pricing schemes: how should time slots for advertisements be divided? We provide evidence that ads can be scheduled in a way that leads to greater total recollection, which advertisers value, and increased revenue, which publishers value. We document two main findings. First, we show that displaying two shorter ads results in more total recollection than displaying one longer ad of twice the duration. Second, we show that this effect disappears as the duration of these ads increases. We conclude with a theoretical prediction regarding the circumstances under which the display advertising industry would benefit if it moved to a partially or fully time-based standard.
Climate change and hazardous convective weather in the United States: Insights from high-resolution dynamical downscaling

Hoogewind, Kimberly A. PhD, Purdue University, May 2016. Climate Change and Hazardous Convective Weather in the United States: Insights from High-resolution Dynamical Downscaling. Major Professors: Michael E. Baldwin and Robert J. Trapp. Global climate model (GCM) projections increasingly suggest that large-scale environmental conditions favorable for hazardous convective weather (HCW) may increase in frequency in the future due to anthropogenic climate change. However, this storm environment-based approach is undoubtedly limited by the assumption that convective-scale phenomena will be realized within these environments. The spatial resolution of GCMs remains much too coarse to adequately represent the scales at which severe convective storms occur, including processes that may lead to storm initiation. With the advancement of computing resources, however, it has now become feasible to explicitly represent deep convective storms within a high-resolution regional climate model. This research utilized the Weather Research and Forecasting (WRF) model to produce high-resolution, dynamically downscaled simulations for the continental United States under historical (1971–2000) and future (2071–2100) climate periods using GCM data provided by the Geophysical Fluid Dynamic Laboratory Climate Model version 3 (GFDL-CM3). Model proxies were used to provide an objective estimate of the occurrence of simulated severe weather and how their spatiotemporal distribution may change in the future under an aggressive climate change scenario. Results demonstrated that severe storms may increase in both their frequency and intensity in the future. In comparison to the projected changes in HCW favorable environments from the GCM, the dynamically downscaled largely agree in terms of the seasonal timing and spatial patterns of greatest potential change in activity by the end of the