Miracle-dz/UniFAR-FTUs huggingface dataset:
Conserved role of the urotensin II receptor 4 signalling pathway to control body straightness in a tetrapod

Urp1 and Urp2 are two neuropeptides of the urotensin II family identified in teleost fish and mainly expressed in cerebrospinal fluid (CSF)-contacting neurons. It has been recently proposed that Urp1 and Urp2 are required for correct axis formation and maintenance. Their action is thought to be mediated by the receptor Uts2r3, which is specifically expressed in dorsal somites. In support of this view, it has been demonstrated that the loss of uts2r3 results in severe scoliosis in adult zebrafish. In the present study, we report for the first time the occurrence of urp2, but not of urp1, in two tetrapod species of the Xenopus genus. In X. laevis, we show that urp2 mRNA-containing cells are CSF-contacting neurons. Furthermore, we identified utr4, the X. laevis counterparts of zebrafish uts2r3, and we demonstrate that, as in zebrafish, it is expressed in the dorsal somatic musculature. Finally, we reveal that, in X. laevis, the disruption of utr4 results in an abnormal curvature of the antero-posterior axis of the tadpoles. Taken together, our results suggest that the role of the Utr4 signalling pathway in the control of body straightness is an ancestral feature of bony vertebrates and not just a peculiarity of ray-finned fishes.
Contributions of environmental and maternal transmission to the assembly of leaf fungal endophyte communities

Leaf fungal endophytes (LFEs) contribute to plant growth and responses to stress. Fungi colonize leaves through maternal transmission, e.g. via the seed, and through environmental transmission, e.g. via aerial dispersal. The relative importance of these two pathways in assembly and function of the LFE community is poorly understood. We used amplicon sequencing to track switchgrass (Panicum virgatum) LFEs in a greenhouse and field experiment as communities assembled from seed endophytes and rain fungi (integration of wet and dry aerial dispersal) in germinating seeds, seedlings, and adult plants. Rain fungi varied temporally and hosted a greater portion of switchgrass LFE richness (greater than 65%) than were found in seed endophytes (greater than 25%). Exposure of germinating seeds to rain inoculum increased dissimilarity between LFE communities and seed endophytes, increasing the abundance of rain-derived taxa, but did not change diversity. In the field, seedling LFE composition changed more over time, with a decline in seed-derived taxa and an increase in richness, in response to environmental transmission than LFEs of adult plants. We show that environmental transmission is an important driver of LFE assembly, and likely plant growth, but its influence depends on both the conditions at the time of colonization and plant life stage.
Growth acceleration results in faster telomere shortening later in life

There is a wealth of evidence for a lifespan penalty when environmental conditions influence an individual's growth trajectory, such that growth rate is accelerated to attain a target size within a limited time period. Given this empirically demonstrated relationship between accelerated growth and lifespan, and the links between lifespan and telomere dynamics, increased telomere loss could underpin this growth–lifespan trade. We experimentally modified the growth trajectory of nestling zebra finches (Taeniopygia guttata), inducing a group of nestlings to accelerate their growth between 7 and 15 days of age, the main phase of body growth. We then sequentially measured their telomere length in red blood cells at various time points from 7 days to full adulthood (120 days). Accelerated growth between 7 and 15 days was not associated with a detectable increase in telomere shortening during this period compared with controls. However, only in the treatment group induced to show growth acceleration was the rate of growth during the experimental period positively related to the amount of telomere shortening between 15 and 120 days. Our findings provide evidence of a long-term influence of growth rate on later-life telomere shortening, but only when individuals have accelerated growth in response to environmental circumstances.
Twist and lock: nutshell structures for high strength and energy absorption

Nutshells achieve remarkable properties by optimizing structure and chemistry at different hierarchical levels. Probing nutshells from the cellular down to the nano- and molecular level by microchemical and nanomechanical imaging techniques reveals insights into nature's packing concepts. In walnut and pistachio shells, carbohydrate and lignin polymers assemble to form thick-walled puzzle cells, which interlock three-dimensionally and show high tissue strength. Pistachio additionally achieves high-energy absorption by numerous lobes interconnected via ball-joint-like structures. By contrast, the three times more lignified walnut shells show brittle LEGO-brick failure, often along the numerous pit channels. In both species, cell walls (CWs) show distinct lamellar structures. These lamellae involve a helicoidal arrangement of cellulose macrofibrils as a recurring motif. Between the two nutshell species, these lamellae show differences in thickness and pitch angle, which can explain the different mechanical properties on the nanolevel. Our in-depth study of the two nutshell tissues highlights the role of cell form and their interlocking as well as plant CW composition and structure for mechanical protection. Understanding these plant shell concepts might inspire biomimetic material developments as well as using walnut and pistachio shell waste as sustainable raw material in future applications.
The Influence of Product Recommendation Methods on Users' Purchase Intention

Nowadays, with the rapid development of various fields of e-commerce, scholars gradually focus their research on the online purchase behavior of users. As we step into the era of big data, personalized recommendation function of e-commerce is rising. Many scholars have put forward their own views on the influence of personalized recommendation of platform on users' purchase intention. This study will start from the recommendation behavior of products, take recommendation strength and recommendation validity as the quantitative methods of recommendation behavior, and explore whether platform recommendation and friend recommendation will have different influences on users' purchase intention. In the process of the influence of recommendation behavior on the purchase intention of users, this study believes that trust plays a mediating role. This research applies the knowledge and methods of social psychology, consumer behavior and other disciplines, adopts a multi-dimensional research framework in terms of overall research ideas, and combines theoretical analysis with empirical research. The results show that trust can indeed play a mediating role in the influence of recommendation strength and recommendation validity on users' purchase intention, but recommendation style has no moderating effect on the influence. In view of this conclusion, this paper proposes the possible reasons.
Research on Vespa Mandarinia's Invasion in the State of Washington

In recent years, a new invasive species, Vespa Mandarinia has become a problem for the State of Washington, the U.S.A. and regions near it. In this research, we used Kernel Density Estimation, Natural Language Processing and Convolution Neural Network(CNN) to evaluate the geographical and textual data of civilian reports and in what way we can detect new invasion cases without a professional's presence. The results of the research show that we could perform prediction with data available but it could be biased. However, image classification techniques based on CNN could be an incentive for more data input, therefore lead to a better simulation and estimation. The method of our research also indicates that these techniques may have great applicability to other invasive species.
Foreign Exchange Rate Forecasting using Autoencoder and LSTM Networks

The problem of predicting foreign currency exchange rate is the problem in which many researchers in forecasting community have been interested. The exchange rate changes occur hourly, even seconds, thus producing correlated time series. To enable accurate forecasting on such correlated time series data, this work proposes a deep learning model which combines two approaches: autoencoder and Long Short-Term Memory (LSTM) network. The model employs an LSTM-based autoencoder in order to extract features from input dataset well. The model also uses LSTM-based network as a forecaster, which provides accurate and robust forecasting. Experimental results on four exchange rate datasets suggest that the proposed model is effective and outperforms five other comparative methods: shallow neural network (ANN), deep belief network (DBN), convolutional neural network (CNN), LSTM network and another form of combining autoencoder and LSTM network.
Home Studio: DIY Interior Design in Mixed Reality

Virtual staging of real estate listings increases the appeal of a property by letting prospective buyers envision a living space remotely. However, existing tools employed to stage homes limit the scale of the visualization to a set of fixed images provided by customers or require 3D artist expertise to reconstruct the space. The adoption of 3D Matterport scans has accelerated due to the Covid-19 pandemic as a means to enable virtual tours and adhere to social distancing guidelines. We present Home Studio, a virtual staging tool that empowers non-experts, letting them furnish any Matterport scene and create photo-realistic renders in a matter of minutes. Our tool lets customers dive into their designs using a virtual reality headset to assess the final product in an immersive experience.
Monoaminergic hypo- or hyperfunction in adolescent and adult attention-deficit hyperactivity disorder?

Abstract Disturbances of dopamine (DA), serotonin (5-HT) and/or norepinephrine (NE) functions are implied in attention-deficit hyperactivity disorder (ADHD). However, the precise cortical and subcortical mechanisms are still not fully understood. In the present survey, we conducted a PUBMED search, which provided 37 in vivo investigations with PET and SPECT on 419 ADHD patients and 490 controls. The retrospective analysis revealed increased striatal DA transporter (DAT) in adolescent as well as adult medication-naïve and not acutely medicated patients. In acutely medicated adults, DAT was not different from controls. Midbrain DAT was normal in adults, but decreased in adolescents. Striatal D2 receptor (R) binding was normal in both adolescents (not acutely medicated) and adults (acutely medicated and not acutely medicated). In medication-naïve adults, DA synthesis was decreased in putamen and amygdala, but normal in the whole striatum and midbrain. In not acutely medicated adults, DA synthesis was reduced in putamen, whole striatum, prefrontal cortex, frontal cortex, amygdala and midbrain, whereas, in adolescents, no regional differences were observed. In adult (not acutely medicated) subjects, cingulate D1R was reduced. 5-HT transporter (SERT) binding was decreased in striatum and thalamus, but normal in midbrain, neocortex and limbic regions, whereas, in medication-naïve adults, SERT was diminished in striatum and midbrain, but normal in thalamus and neocortex. The findings suggest transient stages of synaptic DA shortage as well as DA surplus in individual brain regions, which elicit presynaptic as well as postsynaptic compensatory mechanisms, striving to attain functional homeostasis. Thereby, it remains a matter of debate, whether ADHD may be characterized by a general hypo- or hyperactivity of DA and/or 5-HT function.
Digital Technologies and Music Digitisation: Challenges and Opportunities for the Nepalese Music Industry

Abstract This paper investigates the current legitimate digital music business trends and models created by the innovation of new digital technologies and examines their pertinence in the Nepalese music industry. Further, it scrutinises neighbouring music markets and juxtaposes the Nepalese music market against their current market trends. Based on eight in-depth semi-structured interviews with executives and stakeholders of different major, medium and independent Nepalese record labels, the paper examines two questions: what is preventing Nepalese recorded music from being found digitally and accessible legally; and what are the opportunities, gaps and requirements that confront the search for a commercially viable route for the optimal digital music business model to make Nepalese music digitally and legally accessible, both locally and globally?
(Mis) perception of consonant clusters and short vowels in English as a foreign language

Abstract Research addressing second language (L2) speech is expanding. Studies increasingly demonstrate that a learner’s first language (L1) filters the L2 input, resulting in learners misperceiving what they have heard. This L1 filter can result in learners perceiving sounds not actually present in the input. We report on a study which explored English consonant clusters and short, unstressed vowel perception of 70 Arabic-, Mandarin-, Spanish-speaking foreign language learners and 19 native English speakers. These are the vowels which speakers from two of the L1s typically insert in their production of English to break up L1-disallowed consonant clusters and the schwa which is documented to cause both perception and production problems. Results show that participants misperceive stimuli containing consonant clusters and counterparts where clusters are broken up by epenthetic/prothetic elements. In line with Sakai, Mari & Colleen Moorman 2018. We call for the inclusion of such findings on perception in pedagogical advice on pronunciation.
The prevalence of diagnosed specific back pain in primary health care in Region Västra Götaland: a register study of 1.7 million inhabitants

Abstract Objectives: To evaluate the one-year prevalence of diagnosed specific back pain in Region Västra Götaland, inhabiting 1.7 million people. Designs: A retrospective register study. Settings: Data from 2014 to 2019 were extracted from the VEGA register, which holds all health data from all publicly funded health care establishments in Region Västra Götaland. Aggregated data are presented as the one-year prevalence of unique individuals diagnosed with International Statistical Classification of Diseases and Related Health Problems – Tenth Revision codes representing specific back pain. Subjects: All inhabitants in Region Västra Götaland. Main outcome measures: The one-year prevalence of diagnosed specific back pain stratified by age, sex, and health care level. Results: In 2019, the one-year prevalence of diagnosed specific back pain in public primary health care centres was 0.82%, rehabilitation care 0.35%, and the combined increase was 156% from 2014. In specialized health care, the diagnosed prevalence during 2014–2019 has remained relatively unchanged. The prevalence was significantly higher among women in primary health care and rehabilitation care. M48.0 (spinal stenosis) and M51.1K (lumbar disc herniation with radiculopathy) were the most common sub-classifications. For M48.0, prevalence increased by age, whereas M51.1K peaked within the 45–64 years category. Conclusions: The one-year prevalence of diagnosed specific back pain in primary health care was 1.17% in 2019 and has increased since 2014. Women were diagnosed considerably more frequently than men, which is not reflected in surgical treatment prevalence.
Reduction-Induced Decomposition: Spontaneous Formation of Monolithic Nanoporous Metals of Tunable Structural Hierarchy and Porosity

The beauty of dealloying, i.e., the selective dissolution of an alloy, lies in the spontaneous formation of bicontinuous nanoporous metal, whose robustness, conductivity, and high specific area are otherwise difficult to achieve in a monolithic form. However, a uniform structure of nanoporous metal requires a homogeneous alloy precursor, whose laborious fabrication has been limiting the application of dealloying and dealloyed materials. Here, we replace the alloy precursor with a compound, and design another type of selective dissolution, reduction-induced decomposition (RID). Using the RID of AgCl as an example, we chemically reduced bulk AgCl samples to create bicontinuous nanoporous Ag that resembles dealloyed structures. The monolithic material possesses a uniform ligament width of 72 nm and a specific area of 7.57 m2/g. The ligament width can be tuned in a range from 30 nm to 1 μm through coarsening, and the porosity from 57% to 87% by replacing silver cations in the compound with sodium cations. The.
Continuous sensing of nutrients and growth factors by the mTORC1-TFEB axis

mTORC1 senses nutrient and growth factor status and phosphorylates downstream targets, including the transcription factor TFEB, to coordinate metabolic supply and demand. The molecular mechanisms of mTORC1 activation are thought to enforce a strict requirement for simultaneous amino acid and growth factor stimuli, but this model has not been evaluated with quantitative or single-cell methods. Here, we develop a series of fluorescent protein-TFEB fusions and investigate how combinations of stimuli jointly regulate signaling from mTORC1 to TFEB at the single-cell level. Live-cell imaging of individual cells revealed that mTORC1-TFEB signaling responds with graded changes to individual amino acid and growth factor inputs, rather than behaving as a logical “AND” gate. We find that mTORC1 inputs can be sequentially sensed, with responses that vary between mTORC1 substrates and are amplified by input from other kinases, including GSK3β. In physiologically relevant concentrations of amino acids, we observe fluctuations in mTORC1-TFEB signaling that indicate continuous responsiveness to nutrient availability. Our results clarify how the molecular regulation of mTORC1 enables homeostatic processes at the cellular level and provide a more precise understanding of its behavior as an integrator of multiple inputs.
Machine Learning Approaches in Study of Multiple Sclerosis Disease Through Magnetic Resonance Images

Multiple sclerosis (MS) is one of the most common autoimmune diseases which is commonly diagnosed and monitored using magnetic resonance imaging (MRI) with a combination of clinical manifestations. The purpose of this review is to highlight the main applications of Machine Learning (ML) models and their performance in the MS field using MRI. We reviewed the articles of the last decade and grouped them based on the applications of ML in MS using MRI data into four categories: 1) Automated diagnosis of MS, 2) Prediction of MS disease progression, 3) Differentiation of MS stages, 4) Differentiation of MS from similar disorders.
Charging Up the Periphery: Glial Ionic Regulation in Sensory Perception

The peripheral nervous system (PNS) receives diverse sensory stimuli from the environment and transmits this information to the central nervous system (CNS) for subsequent processing. Thus, proper functions of cells in peripheral sense organs are a critical gate-keeper to generating appropriate animal sensory behaviors, and indeed their dysfunction tracks sensory deficits, sensorineural disorders, and aging. Like the CNS, the PNS comprises two major cell types, neurons (or sensory cells) and glia (or glia-like supporting neuroepithelial cells). One classic function of PNS glia is to modulate the ionic concentration around associated sensory cells. Here, we review current knowledge of how non-myelinating support cell glia of the PNS regulate the ionic milieu around sensory cell endings across species and systems. Molecular studies reviewed here suggest that, rather than being a passive homeostatic response, glial ionic regulation may in fact actively modulate sensory perception, implying that PNS glia may be active contributors to sensorineural information processing. This is reminiscent of emerging studies suggesting analogous roles for CNS glia in modulating neural circuit processing. We therefore suggest that deeper molecular mechanistic investigations into critical PNS glial functions like ionic regulation are essential to comprehensively understand sensorineural health, disease, and aging.
Transcriptome Alterations of an in vitro-Selected, Moderately Resistant, Two-Row Malting Barley in Response to 3ADON, 15ADON, and NIV Chemotypes of Fusarium graminearum

Fusarium head blight caused by Fusarium graminearum is a devastating disease of malting barley. Mycotoxins associated with contaminated grain can be transferred from malt to beer and pose a health risk to consumers. In western Canada, F. graminearum has undergone an adaptive shift from 15ADON constituency to dominance by virulent 3ADON-producers; likewise, NIV-producers have established in regions of southern United States. Lack of adapted resistance sources with adequate malting quality has promoted the use of alternative breeding methodologies, such as in vitro selection. We studied the low-deoxynivalenol characteristic of in vitro selected, two-row malting barley variety “Norman” by RNAseq in contrast to its parental line “CDC Kendall,” when infected by 15ADON-, 3ADON-, and NIV-producing isolates of F. graminearum. The current study documents higher mycotoxin accumulation by 3ADON isolates, thereby representing increased threat to barley production. At 72–96-h post infection, significant alterations in transcription patterns were observed in both varieties with pronounced upregulation of the phenylpropanoid pathway and detoxification gene categories (UGT, GST, CyP450, and ABC), particularly in 3ADON treatment. Defense response was multitiered, where differential expression in “Norman” associated with antimicrobial peptides (thionin 2.1, defensing, non-specific lipid-transfer protein) and stress-related proteins, such as late embryogenesis abundant proteins, heat-shock, desiccation related, and a peroxidase (HvPrx5). Several gene targets identified in “Norman” would be useful for application of breeding varieties with reduced deoxynivalenol content.
Role of DPP-4 and SGLT2 Inhibitors Connected to Alzheimer Disease in Type 2 Diabetes Mellitus

Alzheimer’s disease (AD) is characterized by memory loss and cognitive decline. Additionally, abnormal extracellular amyloid plaques accumulation and nerve damage caused by intracellular neurofibrillary tangles, and tau protein are characteristic of AD. Furthermore, AD is associated with oxidative stress, impaired mitochondrial structure and function, denormalization, and inflammatory responses. Recently, besides the amyloid β hypothesis, another hypothesis linking AD to systemic diseases has been put forth by multiple studies as a probable cause for AD. Particularly, type 2 diabetes mellitus (T2DM) and its features, including hyperinsulinemia, and chronic hyperglycemia with an inflammatory response, have been shown to be closely related to AD through insulin resistance. The brain cannot synthesize or store glucose, but it does require glucose, and the use of glucose in the brain is higher than that in any other organ in the mammalian body. One of the therapeutic drugs for T2DM, dipeptidyl peptidase-4 (DPP-4) inhibitor, suppresses the degradation of incretins, glucagon-like peptides and glucose-dependent insulinotropic peptide. Sodium-glucose cotransporter 2 (SGLT2) inhibitors, recently used in T2DM treatment, have a unique mechanism of action via inhibition of renal glucose reabsorption, and which is different from the mechanisms of previously used medications. This manuscript reviews the pathophysiological relationship between the two diseases, AD and T2DM, and the pharmacological effects of therapeutic T2DM drugs, especially DPP-4 inhibitors, and SGLT2 inhibitors.