Miracle-dz/UniFAR-FTUs huggingface dataset:
Shear‐Wave Velocity Reveals Heterogeneous Geometry of the Main Himalayan Thrust System and Deep Structure Beneath the Nepal Himalayas

The Himalayas is currently rising due to the collision of the Indian and Asian plates and hosts frequent earthquakes, some of which are devastating, such as the 2015 Mw7.8 Gorkha earthquake. Despite the importance of deep dynamic processes to understand the uplift of the Himalayas and the occurrence of large earthquakes, it remains limitedly constrained due to the lack of a detailed three‐dimensional subsurface image under this region. Here, we construct new models of shear‐wave velocity and radial anisotropy down to the 150 km depth from Rayleigh‐ and Love‐wave tomography in the Nepal Himalayas. We find that the 2015 Gorkha earthquake and its main aftershock occurred in a velocity contrast that is presumably interpreted as Main Himalayan Thrust (MHT). A duplex structure, imaged as relatively high velocities, is inferred to exist above MHT under the Lesser Himalayas. This duplex shows heterogeneous features along the strike of the Himalayas that may control the rupture behavior during the occurrence of a large earthquake. Additionally, a low‐velocity anomaly is observed at depths from Moho to 100 km under the Lhasa Terrane and north of the Himalayan Terrane between 85° and 88°E. We interpret this low‐velocity anomaly to be likely caused by mantle upwelling resulting from either possible Indian slab tearing, or northward subduction of the Indian plate. If this is the case, the north‐south trending rifts that situate within the dispersal of the low‐velocity anomaly are probably associated with the mantle upwelling. This study provides a new independent constraint on the geometry of the MHT system and deep dynamic processes occurring in the Nepal Himalaya.
Low‐Angle Normal Faults on the NW Shelf of Australia: Implications for Late Paleozoic Rifting

Late Paleozoic rifting of the NW Shelf of Australia formed a wide basin that fundamentally controlled the Mesozoic continental rifting and passive margin development; however, structural style associated with this extensional process remains poorly constrained. Here, we integrate high‐resolution seismic data with well data from the proximal domain of the NW Shelf to show that the Mermaid fault system in the eastern Dampier Sub‐basin is a large‐scale (∼80 km long), low‐angle (5–20°) normal fault with up to 10 km offset formed during the Late Paleozoic rifting. In its northern and southern domains, the Mermaid fault has a planar geometry with characteristic extensional structures. In its central domain, seaward‐dipping, domino‐style normal faults in the upper crust extend downward into a highly reflective seismic zone that arches upward to form an elliptical dome. Growth strata in the hangingwall half‐graben and footwall basement reflections indicate that the Mermaid fault initiated as a high‐angle normal fault and was rotated by footwall exhumation during extension. Intrabasement deformation along and below the Mermaid fault is characterized by moderate‐ to high‐amplitude, semi‐continuous seismic reflectors that are distinct from transparent reflection character in the overlying basement unit. Comparison of the Mermaid fault system to well‐studied detachment faults in metamorphic core complex settings reveals striking similarities. We therefore suggest that the Mermaid fault developed as part of a nascent metamorphic core complex with a warm to hot footwall that enabled middle‐lower crustal flow during the Late Paleozoic continental rifting, likely induced by southward subduction of the Paleo‐Tethys Ocean.
Exploring the Deep Ocean Single‐Frequency Microseisms Southwest of Japan in Northern Philippine Sea

Single‐frequency microseisms (SFMs) have been revealed to be only generated in shallow water for decades, while some recent studies reported them in a deep ocean. Using the continuous waveform data recorded by ocean bottom seismometers, we investigate the deep ocean SFMs in the northern Philippine Sea. Based on the spectrum analysis, we find that the SFMs can be detected in deep ocean and the detection is time variable. To determine the source locations of SFMs, we perform polarization analysis and calculate the cross‐correlation coefficients between SFMs on vertical components and ocean wave energy spectra considering the attenuation of SFMs. Both the polarization and correlation results show that the sources nearby stations dominate the observed Rayleigh‐wave SFMs though distant sources also contribute. Our investigation suggests that the SFMs can be generated in a deep ocean likely by infragravity ocean waves interacting with seafloor topography, which is strengthened by strong ocean storms.
Effects of single‐ and multi‐site calibration strategies on hydrological model performance and parameter sensitivity of large‐scale semi‐arid and semi‐humid watersheds

In large‐scale watersheds, only the calibration of parameters for the outlet may ignore spatial heterogeneity and fail to meet the simulation accuracy of local areas. Based on the runoff observation data of three hydrological stations (Qingyang, Yangjiaping and Zhangjiashan) in the Jinghe River Watershed, single‐ and multi‐site calibration strategies were designed to investigate the performance and applicability of the Soil and Water Assessment Tool (SWAT) in predicting the monthly runoff of nested catchments and evaluate the differences in parameter sensitivity between the upstream and downstream. (i) The two calibration strategies showed little difference in the simulation accuracy of the watershed outlet; the Nash–Sutcliffe efficiency (NSE) and determination coefficient (R2) were approximately 0.8 and 0.6, respectively, and the percentage of bias (PBIAS) was mostly <15%. The single‐site one‐by‐one calibration was significantly better than the multi‐site joint calibration at the interior points of the watershed. Among them, Qingyang decreased most obviously in the joint calibration with Zhangjiashan, with both NSE and R2 < 0.5, whereas Yangjiaping was >0.5 in combination with the other two sites. (ii) The sensitive parameters obtained by the two calibration strategies were different, and different parameters were effective for different‐sized catchments because hydrological processes exhibit astounding variability at all scales. The single‐site one‐by‐one calibration was mainly affected by the hydrological processes of the local catchment, whereas the multi‐site joint calibration was largely constrained by the sensitive parameters of the single‐site calibration. (iii) Parameters at different scales and locations were related to the problem of scaling and regionalization. The multi‐site joint calibration did not significantly improve the model performance of the watershed outlet but increased the capacity for synchronous identification of local sensitive parameters when compared to single‐site calibration. These findings are expected to provide experience for parameter calibration in other similar large‐scale watersheds and to lay a good foundation for the accurate identification of other related hydrological behaviours at watershed scales.
PPNet: A more effective method of precipitation prediction

Precipitation nowcasting plays an important role in the early warning of disasters and many other aspects of people's lives. In this study, we address the problem of radar reflectivity image extrapolation, which has great significance for precipitation near‐range forecasting. In recent years, the related achievements of nowcasting indicate that deep learning‐based methods have been far ahead of traditional ones. However, most deep learning methods focus on spatial appearance but cannot characterize the motion information well. To solve this complex problem, in addition to completing pixel‐level predictions by McNet, we introduce FlowNet and optical flow loss into generative adversarial networks (GAN) to express motion information more effectively. The reflectance image changes significantly due to complex meteorological conditions. Only by adding motion features can the law of change be determined. Thus, we can retain more details in the image. To the best of our knowledge, this is the first time FlowNet has been combined with GAN to fulfil the task of precipitation prediction. Extensive experiments on the dataset provided by the Shenzhen Meteorological Bureau demonstrate that our network performs favourably against other state‐of‐the‐art methods, which presents great guiding significance for precipitation nowcasting and possesses broad application prospects.
Design of a new narrow band channel drop filter based on photonic crystal ring resonator

In this paper a novel structure for narrow band Channel Drop Filter (CDF) using 2D photonic crystal with a square lattice based on ring resonator is proposed. In this design, an optical ring resonator is embedded between two Horizontal input and output waveguides with 4 orbitals around the center of the resonator so that each orbital consists of 8 rods in which the radius of larger orbital rods is bigger than the radius of smaller orbital rods. The analysis of simulation results showed the proposed filter has the transmission efficiency of 100% at the resonance wavelength of 1550 nm, bandwidth and quality factor are 0.2 and 7753, respectively. This proves that it is a suitable filter for optical communication applications. Ultra-low bandwidth and high transmission efficiency are the most important advantages of the proposed filter in this study. Therefore, it is proved that this filter is usable and suitable for optical communication applications.
Optimal control of advection-diffusion problems for cropping systems in polluted soils

Abstract The article studies the nutrient transfer mechanism for cropping systems in polluted soils from a mathematical and optimal control point of view. The problem under consideration is governed by an advection-diffusion PDE in a bounded domain. The existence of a solution is obtained. We also determine the optimal amount of required nutrients at the root surface for plants where the soil is polluted by an unknown source. The characterization of the optimal control by a singular optimality system is obtained.
The length-biased power hazard rate distribution: Some properties and applications

Abstract In this article, the length-biased power hazard rate distribution has introduced and investigated several statistical properties. This distribution reports an extension of several probability distributions, namely: exponential, Rayleigh, Weibull, and linear hazard rate. The procedure of maximum likelihood estimation is taken for parameters. Finally, the applicability of the model is explored by three real data sets. To examine, the performance of the technique, a simulation study is extracted.
(2015). Sums of cubes with shifts. Journal of the London Mathematical Society , 91 (2), 343-366.

Let µ 1 , . , µ s be real numbers, with µ 1 irrational. We investigate sums of shifted cubes F ( x 1 , . . . , x s ) = ( x 1 − µ 1 ) 3 + . + ( x s − µ s ) 3 . We show that if η is real, τ > 0 is suﬃciently large, and s (cid:62) 9, then there exist integers x 1 > µ 1 , . , x s > µ s such that | F ( x ) − τ | < η . This is a real analogue to Waring’s problem. We then prove a full density result of the same ﬂavour for s (cid:62) 5. For s (cid:62) 11, we provide an asymptotic formula. If s (cid:62) 6 then F ( Z s ) is dense on the reals. Given nine variables, we can generalise this to sums of univariate cubic polynomials.
The ExtRA Capacity Test: Reliability and validity study of a new tool for assessing shoulder muscle performance

Objectives The primary objective was to evaluate the reliability of a new tool for assessing shoulder muscle performance: The ExtRA Capacity Test. The secondary objective was to assess whether this tool was a valid measure for assessing shoulder strength. Methods The ExtRA Capacity test involves two measures: maximal scapular plane lateral raises to 90° abduction with 2.5kg of external load and the maximal number of prone lying unsupported external rotations with the shoulder at 90° abduction. Both capacity tests are completed to a metronome set to 30 beats per minute 20 asymptomatic participants were sampled on 2 separate sessions, 1 week apart. The ExtRA Capacity Test was completed by the lead researcher and an independent physiotherapist. Shoulder strength was also measured using isokinetic dynamometry. Results The test showed excellent inter-rater reliability (mean abduction ICC= 0.969, mean external rotation ICC= 0.822, with a 95% CI). Mean intra-rater variability was 3.96± 4.09 for the abduction measure and 1.70± 1.17 for the external rotation measure. Validity was calculated using Pearson correlation coefficient. The abduction measure showed good/ moderate correlation for the majority of strength measurements taken using isokinetic dynamometry however the external rotation capacity test did not correlate closely to isokinetic dynamometry strength measures. Conclusion The abduction component of the ExtRA Capacity Test is a suitable measure for assessing shoulder strength in clinical practice. The external rotation measure is of suitable reliability however if used in clinical practice, it should not be used to assess shoulder strength, instead it may be suitable to assess movement control of the shoulder. Summary Various methods of measuring shoulder strength exist, ranging from cost free, relatively inaccurate methods to costly, complex methods which are of high reliability and validity but are challenging to use in a fast-pace, clinical environment. Objective outcome measures are used within a rehabilitation setting however at present there is no upper limb muscle performance test that is suitable to use on all people, regardless of strength or fitness level. Capacity testing of movements provides a functional, insight into strength specific to a real world/ sporting environment with lower limb capacity tests providing clear objective baselines that can be used for goal setting and providing return to play criteria following injury. This study proves the reliability and validity of the ExtRA Capacity Test which is a measure of shoulder muscle performance, suitable for people of all physical activity levels and upper limb strength.
A unified peptide array platform for antibody epitope binning, mapping, specificity and predictive off-target binding

Therapeutic antibody efficacy is largely determined by the target epitope. In addition, off-target binding can result in unanticipated side-effects. Therefore, characterization of the epitope and binding specificity are critical in antibody discovery. Epitope binning provides low-resolution of an antibody epitope and is typically performed as a cross-blocking assay to group antibodies into overlapping or non-overlapping bins. Epitope mapping identifies the epitope with high resolution but requires low throughput methods. In addition to binning and mapping, there is a need for a scalable and predictive approach to reveal off-target binding early in antibody discovery to reduce the risk of in vivo side effects. Peptide microarrays are an information-rich platform for antibody characterization. However, the potential of peptide microarrays in early-stage antibody discovery has not been realized because they are not produced at the scale, quality and format needed for reliable high-throughput antibody characterization. A unified, peptide library platform for high-resolution antibody epitope binning, mapping and predictive off-target binding characterization is described here. This platform uses highly scalable array synthesis and photolithography to synthesize more than 3 million addressable peptides. These arrays conform to a microplate format and each synthesis is qualified with mass spectrometry. Using this platform, a scalable approach to early-stage epitope and specificity characterization, with prediction of off-target interaction(s), is demonstrated using a panel of anti-HER2 monoclonal antibodies. This study highlights the prospect of this platform to improve antibody discovery productivity by generating epitope and specificity information much earlier with potentially hundreds of antibody clones.
Integrated regulation of dopaminergic and epigenetic effectors of neuroprotection in Parkinson’s disease models

Whole exome sequencing of Parkinson’s disease (PD) patient DNA identified single-nucleotide polymorphisms (SNPs) in the TNK2 gene. Although TNK2 encodes a non-receptor tyrosine kinase that has been shown to prevent the endocytosis of the dopamine reuptake transporter (DAT), a causal role for TNK2 in PD remains unresolved. We postulated that specific recessive mutations in patients resulted in aberrant or prolonged overactivity as a consequence of failed negative regulation by an E3 ubiquitin ligase, NEDD4. Interestingly, the sole Caenorhabditis elegans ortholog of TNK2, termed SID-3, is an established mediator of epigenetic gene silencing and systemic RNA interference facilitated by the SID-1 dsRNA transporter. While SID-3 had no prior association to dopamine neurotransmission in C. elegans, we hypothesized that TNK2/SID-3 represented a node of integrated dopaminergic and epigenetic signaling essential to neuronal homeostasis. Using genetic and chemical modifiers, including a TNK2 inhibitor (AIM-100) and NEDD4 activator (NAB2), in bioassays for dopamine uptake or RNAi in dopaminergic neurons of C. elegans, we determined that sid-3 mutants displayed neuroprotection from 6-hydroxydopamine (6-OHDA) exposure, as did wildtype animals treated with AIM-100 or NAB2. Additionally, NAB2 treatment of rat primary neurons correlated with a reduction of TNK2 levels and the attenuation of 6-OHDA neurotoxicity. Notably, CRISPR-modified nematodes engineered with genomic mutations in sid-3 analogous to PD patient-associated SNPs in TNK2 circumvented the resistance to RNAi characteristic of SID-3 dysfunction and furthermore exhibited enhanced susceptibility to neurodegeneration. This study describes a molecular etiology for PD whereby dysfunctional cellular dynamics, dopaminergic, and epigenetic signaling intersect to cause neurodegeneration. Significance Statement The progressive loss of dopamine neurons is a pathological hallmark of Parkinson’s disease (PD). Distinctions between resilience or susceptibility to neurodegeneration in PD are a combined consequence of genetic predisposition and environmental factors, the latter often manifesting as changes in gene expression that are coordinately controlled by small RNA molecules. This research reveals a functional convergence of proteins that modulate uptake of both dopamine and small RNAs, as a regulatory intersection for the integrated control of dopamine neuron health. Analysis of PD-patient mutations in the central protein associated with this functional interface further illustrated the clinical significance of this regulatory mechanism, as well as its potential for therapeutic intervention to prevent neurodegeneration through the fine-tuning of dopamine levels.
Radiochemical Synthesis and Evaluation of 3-[11C]Methyl-4-aminopyridine in Rodents and Nonhuman Primates for Imaging Potassium Channels in the CNS

Demyelination, the loss of the insulating sheath of neurons, causes failed or slowed neuronal conduction and contributes to the neurological symptoms in multiple sclerosis, traumatic brain and spinal cord injuries, stroke, and dementia. In demyelinated neurons, the axonal potassium channels Kv1.1 and Kv1.2, generally under the myelin sheath, become exposed and upregulated. Therefore, imaging these channels using positron emission tomography can provide valuable information for disease diagnosis and monitoring. Here, we describe the novel tracer for Kv1 channels [11C]3-methyl-4-aminopyridine ([11C]3Me4AP). [11C]3Me4AP was efficiently synthesized via Pd(0)-Cu(I) co-mediated Stille cross-coupling of a stannyl precursor containing a free amino group. Evaluation of its imaging properties in rats and nonhuman primates showed that [11C]3Me4AP has a moderate brain permeability and slow kinetics. Additional evaluation in monkeys showed that the tracer is metabolically stable and that a 1-tissue compartment model can accurately model the regional brain time-activity curves. Compared to the related tracers [18F]3-fluoro-4-aminopyridine ([18F]3F4AP) and [11C]3-methoxy-4-aminopyridine ([11C]3MeO4AP), [11C]3Me4AP shows lower initial brain uptake, which indicates reduced permeability to the blood-brain-barrier and slower kinetics, suggesting higher binding affinity consistent with in vitro studies. While the slow kinetics and strong binding affinity resulted in a tracer with less favorable properties for imaging the brain than its predecessors, these properties may make 3Me4AP useful as a therapeutic.
PERIOD phosphorylation leads to feedback inhibition of CK1 activity to control circadian period

PERIOD (PER) and Casein Kinase 1δ regulate circadian rhythms through a phosphoswitch that controls PER stability and repressive activity in the molecular clock. CK1δ phosphorylation of the Familial Advanced Sleep Phase (FASP) serine cluster embedded within the Casein Kinase 1 binding domain (CK1BD) of mammalian PER1/2 inhibits its activity on phosphodegrons to stabilize PER and extend circadian period. Here, we show that the phosphorylated FASP region (pFASP) of PER2 directly interacts with and inhibits CK1δ. Co-crystal structures in conjunction with accelerated molecular dynamics simulations reveal how pFASP phosphoserines dock into conserved anion binding sites near the active site of CK1δ. Limiting phosphorylation of the FASP serine cluster reduces product inhibition, decreasing PER2 stability and shortens circadian period in human cells. We found that Drosophila PER also regulates CK1δ via feedback inhibition through the phosphorylated PER-Short domain, revealing a conserved mechanism by which PER phosphorylation near the CK1BD regulates CK1 kinase activity.