Miracle-dz/UniFAR-FTUs huggingface dataset:
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction

Accurately identifying potential drug-target interactions (DTIs) is a critical step in accelerating drug discovery. Despite many studies that have been conducted over the past decades, detecting DTIs remains a highly challenging and complicated process. Therefore, we propose a novel method called SMGCN, which combines multiple similarity and multiple kernel fusion based on Graph Convolutional Network (GCN) to predict DTIs. In order to capture the features of the network structure and fully explore direct or indirect relationships between nodes, we propose the method of multiple similarity, which combines similarity fusion matrices with Random Walk with Restart (RWR) and cosine similarity. Then, we use GCN to extract multi-layer low-dimensional embedding features. Unlike traditional GCN methods, we incorporate Multiple Kernel Learning (MKL). Finally, we use the Dual Laplace Regularized Least Squares method to predict novel DTIs through combinatorial kernels in drug and target spaces. We conduct experiments on a golden standard dataset, and demonstrate the effectiveness of our proposed model in predicting DTIs through showing significant improvements in Area Under the Curve (AUC) and Area Under the Precision-Recall Curve (AUPR). In addition, our model can also discover some new DTIs, which can be verified by the KEGG BRITE Database and relevant literature.
Regional Seismograms from Historical Earthquakes in Southeastern Canada

Regional seismograms from four historical earthquakes of M 5.8 to 7.3 that occurred in southeastern Canada in the first half of this century were digitized. Instrument-corrected Fourier spectra of the shear-wave portion of the signal were computed for the frequency range from approximately 0.05 to 2 Hz. These spectra were corrected for the effects of regional attenuation to obtain apparent source spectra for each of the four events. The apparent source spectra for all events strongly support the empirical source model of Atkinson (1993a) and show that the Brune point-source model, as applied in most eastern ground motion prediction relations, grossly overpredicts intermediate-frequency spectral amplitudes.
Streamer tomography velocity models for the Gulf of Corinth and Gulf of Itea, Greece

SUMMARY The Gulf of Corinth (GOC), Greece is a rapidly extending, active continental rift with a record of large, damaging earthquakes. An extensive multichannel seismic (MCS) survey of the GOC conducted in 2001 provided, in addition to the processed MCS images, the opportunity to constrain velocity structure using refracted arrivals recorded along a 6-km-long streamer. We use first-arrival traveltimes to derive tomographic P-wave velocity models for several profiles collected in the central portion of the GOC. Eight of the profiles are closely spaced, north–south lines crossing the GOC and extending into the Gulf of Itea (GOI); a ninth profile is an east–west-oriented tie line. The N–S profiles image the relatively simple velocity structure of the deep Corinth rift basin and more complicated structure of the northern margin of the currently active rift. Integration of the velocity models with migrated MCS sections shows that south of the GOI the basement, which comprises Mesozoic nappes, occurs at a velocity of 4.5 km s−1 in the velocity models, although the actual velocity at, or just below, the top of basement is probably closer to 5–5.5 km s−1. The maximum sediment thickness in the Corinth basin is 2.2 km. The basement shallows to the north into a fault-bounded terrace in the central region between the two gulfs. Sediment cover in this central region decreases in thickness from west to east. Beneath the GOI, low average velocities beneath the rift-onset reflector indicate the presence of pre-rift sediments. The pre-rift velocity structure in the GOI is complex, with significant lateral variation from west to east. The E–W line shows that high-velocity basement is shallow (≤1 km depth) and flat to the west of the GOI but dips ∼20° east down to ∼1.5 km beneath the pre-rift sediments of the GOI.
Temporal and palaeoenvironmental distribution of manus- and pes-dominated sauropod trackways

Fossil tracks are a source of information about extinct animals that can supplement the osteological record, yet they are often overlooked in macroevolutionary studies. The substrates in which tracks are preserved are indicative of palaeoenvironment and habitat, and track morphology can be linked to the motion and loading of the limb. Sauropod dinosaurs represent the largest terrestrial animals ever to have existed, and the evolution of their body plan had direct consequences for their locomotion and subsequent morphology of their tracks. Here we show that the relative proportions of manus- and pes-dominated sauropod trackways appears to remain constant in the Jurassic and Cretaceous despite an apparent evolutionary anterior shift of centre of mass seen in the body fossil record. However, in Cretaceous rocks, manus-dominated tracks are most commonly recorded in cohesive substrates (e.g. mudstones), whereas pes-dominated tracks tend to be restricted to non-cohesive substrates (e.g. sandstones). This bias is not present in the Jurassic, and therefore may be the result of niche partitioning among sauropods associated with the Cretaceous diversification of the anatomically and environmentally specialized titanosaurs. In this respect, the ichnological record appears to provide complementary evidence to the osteological record and suggests a causative link between locomotion, ecology, and macroevolution in sauropod dinosaurs. Supplementary material: The complete dataset of occurrences of MDTs and PDTs is available at http://www.geolsoc. org.uk/SUP18530.
Infilled pocket gopher tunnels: seasonal features of high alpine plateaux

Anastomosing networks of infilled tunnels, formed by the burrowing of western pocket gophers (Thomomys spp.), are exposed seasonally on Burroughs Mountain, Washington State, USA. The tunnel‐fills disintegrate over several weeks following exposure by the late spring thaw (April–June). The presence of infilled tunnels demonstrates the soil moving and the overturning capacity of small mammals on high alpine plateaux, but may also have positive benefits for the maintenance of biodiversity in these sensitive environments, particularly within the context of future climate change. Copyright © 2008 John Wiley & Sons, Ltd.
The role of floodplains in attenuating contaminated sediment fluxes in formerly mined drainage basins

Many upland river catchments in the UK have been historically mined for metals such as lead (Pb) and zinc (Zn), and as part of the mining process large quantities of metal contaminated sediment were released into the river system. The levels of sediment associated heavy metal contamination in river systems are largely controlled by the volumes of contaminated sediment released into the river and fluvial processes (e.g. erosion and deposition). As a consequence, the contamination patterns are often highly variable, which can make it difficult to create accurate assessments of the volumes of contaminated sediment remaining within the system. This paper uses a combination of techniques to establish the volumes of metal contaminated sediment remaining within the River Swale, UK. Firstly, using detailed field sampling and a geographical information system (GIS), it estimates the volumes of sediment remaining within one formerly mined tributary (Gunnerside Beck) which is then extrapolated to represent the contaminant volumes on other tributaries of the River Swale. Secondly, combining fresh field data with a range of existing data, volumes of contaminated sediment on the main stream of the River Swale are established. This two tier approach shows that significant volumes of contaminated sediment remain within the River Swale, with over 32 000 tonnes of Pb within the mined tributaries and 123 000 tonnes within the main channel belt of the River Swale itself. This represents approximately 28% of the Pb produced in the Swale catchment. Given these volumes and present day rates of removal, it may take over 5000 years for all of the metal rich sediment to be removed from the catchment. If the contaminated sediment is used as a tracer, present day rates of reworking of floodplain sediment can be calculated to be 0·02% per year. Copyright © 2008 John Wiley & Sons, Ltd.
Crescimento econômico dos municípios da Região Sul do Brasil: uma análise espacial

In this paper, we analyze the determinants of labor income growth rate of Brazilian Southern municipalities in the period 1991-2000. In the estimated spatial error model, we verify that one random shock on a specific municipality in the South region propagates itself throughout the region. Besides, the estimations show that the higher are schooling and urbanization rates, the higher is the labor income growth rate. On the other hand, the smaller are number of homicides, income inequality and initial income level, the higher is the labor income growth rate of Brazilian Southern municipalities.
High-emitter identification for heavy-duty vehicles by temporal optimization LSTM and an adaptive dynamic threshold

Heavy-duty diesel vehicles are important sources of urban nitrogen oxides (NOx) in actual applications for environmental compliance, emitting more than 80% of NOx and more than 90% of particulate matter (PM) in total vehicle emissions. The detection and control of heavy-duty diesel emissions are critical for protecting public health. Currently, vehicles on the road must be regularly tested, every six months or once a year, to filter out high-emission mobile sources at vehicle inspection stations. However, it is difficult to effectively screen high-emission vehicles in time with a long interval between annual inspections, and the fixed threshold cannot adapt to the dynamic changes of vehicle driving conditions. An on-board diagnostic device (OBD) is installed inside the vehicle and can record the vehicle’s emission data in real time. In this paper, we propose a temporal optimization long short-term memory (LSTM) and adaptive dynamic threshold approach to identify heavy-duty high-emitters by using OBD data, which can continuously track and record the emission status in real time. First, a temporal optimization LSTM emission prediction model is established to solve the attention bias discrepancy problem on time steps that is caused by the large number of OBD data streams in practice. Then, the concentration prediction error sequence is detected and distinguished from the anomalous emission contexts using flexible criteria, calculated by an adaptive dynamic threshold with changing driving conditions. Finally, a similarity metric strategy for the time series is introduced to correct some pseudo anomalous results. Experiments on three real OBD time-series emission datasets demonstrate that our method can achieve high accuracy anomalous emission identification.
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This Paper provides a new approach to handle constrained multi objective problems using a modification to the fast elitist multi objective Genetic Algorithm, NSGA II (Non-dominated Sorting Genetic Algorithm II). The modification overcomes shortcomings of some previous approaches to handle constrained multi objective problems like Penalty Function Approach, Jimenez-Verdegay-Gomez-Skarmeta's approach, and Ray-Tai-Seow's Method. Comparative studies are conducted using a group of quality indices [2,19] to compare among three different algorithms: regular NSGA, NSGA-II with penalty function and M-NSGA-II with constraint handling techniques. Results show that the new modification is the best among the three approaches. Due to limited space, only recent studies on the subject of multi objective optimization are reviewed for brevity.
Cable Interference Control in Physical Interaction for Cable-Driven Parallel Mechanisms

— Cable interferences and collisions can lead to unpredictable behavior when a human physically interacts with a cable-driven parallel mechanism through its mobile platform. This paper presents an interactive control approach to prevent two cables in interference from folding onto one another, and thus preserve the cable-mechanism geometry. In this approach, the controller generates a repulsive force to prevent the cables from crossing. Therefore, the task is executed within the cable-driven parallel mechanism’s geometric limits. The repulsive force applied by the controller is derived from the gradient of the minimum distance between any pair of cables of the parallel mechanism. In turn, this minimum distance between cables is computed from the Karush-Kuhn-Tucker conditions of the associated optimization problem. The approach was tested and validated on a parallel mechanism driven by seven cables.
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This paper presents a new dual switch control structure for an AC/DC non-inverting cascaded buck-boost power factor correction converter. The proposed converter operates at a discontinuous capacitor voltage mode providing an inherent high power factor and a zero voltage turn-off switching. Additionally, the proposed control structure enables for a non-distorted sinusoidal current for a wide range of output voltage levels. Unlike the conventional methods, a mode detector is not required and consequently there is no hard transition between buck and boost modes. Although both converter switches are controlled, only one feedback control loop is required to obtain the desired power flow at a unity power factor. The principle of operation, theoretical analysis, simulation, and experimental results of a 1.6 kW prototype grid connected converter are presented. The results confirmed the validity of the proposed system under various operating conditions.
Multi-attention Parallel CNN-GRU Fault Diagnosis Method For Rolling Bearing

Deep learning based fault diagnosis methods have been widely studied for rolling bearings. However, for the existing such methods, the spatial and temporal features cannot be fully extracted and not considered. In order to solve the problems, a multi-attention parallel convolutional neural network-gate recurrent unit (MAPCG) fault diagnosis model is proposed in this paper. Firstly, variational modal decomposition(VMD) is used to obtain the eigenvectors through the original data of rolling bearing, which is utilized as the input of the proposed model. CNN and GRU are used to extract the spatial and temporal features as two parallel branches respectively. In addition, each branch is embedded with a specific attention module to distinguish the importance of features. Finally, the spatial feature and the temporal features are combined for the fault diagnosis. A mechanical fault simulation experiment platform is built for the experimental verification of the proposed model. And the experimental results indicates that the proposed model has superior fault diagnosis accuracy compared with existing models.
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Large eddy simulation cooperated with a physical fractional-step method was applied to simulate steady flows over a backward-facing step. Comparisons with experimental and other model results indicate that the present model is capable of simulating turbulent flows. The simulated results by the proposed model agree well with the experimental data. The research shows that the large eddy simulation theory has powerful capacity in simulation of microstructures of turbulent flows, and can be widely applied to the solution of real engineering problems. Keywords-large eddy simulation; turbulence; smagorinsky’s model; flows; fractional-step
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In this paper, one way of digitalization of self-oscillating fluxgate current sensor is presented. This sort of current transducer is cheap and simple alternative to 2 harmonic fluxgate and sensors with Hall probes. Besides of existing solutions, we present novel design of this kind of sensors by means of programmable system on the chip (PSoC), in such way that analog part of transducer is migrated on PsoC. That provides digital signal processing of originally analog part of transducer. Demodulation of measured current is performed by measuring time intervals in a one period of oscillations and by calculating of duty cycle because the sensor is also a PWM modulator. Moreover, if necessary demodulation can be carried out in standard way by filtering and applying A/D conversion. Sensor prototype of sensor is built on PSoC 5 and detailed scheme is outlined. Power stage of excitation circuit is D-class H-bridge which provides that only one power supply voltage is needed. Compering to existing solutions, advantages are reduced size and cost of the sensor and possibilities for digital signal processing in order to get better linearity and bandwidth of the sensor. Digital Self-Oscillating Fluxgate current sensor Slavko Veinović, Milan Ponjavić, Saša Milić
Remediation Strategy On Farmland Soil Polluted by Heavy Metal and Organism

Farmland soil heavy metal-organic compound pollution status in China was introduced,especially on interaction effect and process. The remediation technology for compound pollution was summarized. On the basis of this,combined with mechanism and practice of biochar in soil remediation,an effective strategy of"different species biochar and resistance plant"was put forward.
On the world-wide circulation of the deep water from the North Atlantic Ocean

Above the deeper waters of the North Atlantic that have entered from the circumpolar flow, convection in the Labrador Sea and overflow from the Mediterranean, Norwegian, and Greenland seas combine at mid-depth and circulate in the subarctic cyclonic gyre, and flow southward along the western boundary into the South Atlantic. Because of the nature of these sources the mid-depth waters of the North Atlantic are the warmest, most saline, highest in oxygen and lowest in silica of any of the mid-depth waters of the World Ocean. They have been called the North Atlantic Deep Water. In the Atlantic these characteristics have vertical extremes that separate the inflowing water from the far south into an upper and a lower layer (Reid et al., 1977). These characteristics are so strong that their patterns trace much of the large-scale circulation. Lateral extremes in these tracers extend southward along the western boundary of the Atlantic Ocean. They turn offshore near 50S and eastward with the circumpolar flow. The tracers indicate that some of the eastward flow turns northward along the western boundaries in the Indian and Pacific oceans, but the lateral extreme remains strong enough to give a clear signal all the way to the Drake Passage.
Communication-Free Bearing-Only Distributed Target Localization and Circumnavigation by Multiple Agents

This paper considers the problem of localization and circumnavigation of an unknown stationary target by a group of autonomous agents using only local bearing measurements. We assume that no direct communication or exchange of information is permitted among the group of agents and propose an algorithm to approximate the angular separation between agents and a distributed control law that forces the agents to circumnavigate the target at a desired orbit with any prescribed angular separation. Global asymptotic stability of the system is analyzed rigorously using Lyapunov theory, cascade control strategy, and perturbation method. The performance of the proposed algorithm is verified through simulations.
Behavioral Economics

Behavioral Economics is the combination of psychology and economics that investigates what happens in markets in which some of the agents display human limitations and complications. We begin with a preliminary question about relevance. Does some combination of market forces, learning and evolution render these human qualities irrelevant? No. Because of limits of arbitrage less than perfect agents survive and influence market outcomes. We then discuss three important ways in which humans deviate from the standard economic model. Bounded rationality reflects the limited cognitive abilities that constrain human problem solving. Bounded willpower captures the fact that people sometimes make choices that are not in their long-run interest. Bounded self-interest incorporates the comforting fact that humans are often willing to sacrifice their own interests to help others. We then illustrate how these concepts can be applied in two settings: finance and savings. Financial markets have greater arbitrage opportunities than other markets, so behavioral factors might be thought to be less important here, but we show that even here the limits of arbitrage create anomalies that the psychology of decision making helps explain. Since saving for retirement requires both complex calculations and willpower, behavioral factors are essential elements of any complete descriptive theory.
Marathi Speech Quality Assessment

Speech quality assessment is useful for checking quality of speech which is required for maintaining quality of service in the network. Subjective and Objective speech quality assessment are the basic two types of speech quality assessment. Listening tests are performed to evaluate speech quality in subjective speech quality assessment (SSQA). In objective speech quality assessment (OSQA) mathematical modeling of human perception of speech and mapping is performed to predict quality of Marathi language speech signal. In this paper OSQA subtype intrusive speech quality assessment (ISQA) method by using perceptual evaluation of speech quality (PESQ) for Marathi language speech signal is elaborated. Non- intrusive speech quality assessment (NISQA) method for Marathi language speech signal using support vector machine (SVM) and deep learning techniques artificial neural network (ANN) and convolution neural network- long short-term memory (CNN-LSTM) is elaborated in this paper. Mel-frequency cepstral coefficient features of speech signal are calculated for performing non-intrusive assessment. The main objective of the paper is to develop objective non- intrusive speech quality assessment for Marathi language.
Ross Sea mylonites and the timing of intracontinental extension within the West Antarctic rift system

There are few direct constraints on the timing and style of faulting in the Ross Sea sector of the West Antarctic rift system, although Cretaceous plate reconstructions indicate that Ross Sea extension between East and West Antarctica occurred prior to breakup of the Gondwana margin ca. 80 Ma. Mylonitic gneisses dredged from the eastern Ross Sea indicate shear-zone deformation considerably earlier, at 98-95 Ma. Strain analysis of fab- rics indicates 85%-100% extension. Overprinting brittle structures record translation of shear-zone gneisses into the upper crust. Samples yield sensitive high-resolution ion- microprobe U-Pb zircon ages of 102-97 Ma, correlated to Byrd Coast Granite onshore, and concordant 40 Ar/ 39 Ar biotite and K-feldspar ages of 98-95 Ma, indicating that granites were mylonitized soon after emplacement and cooled rapidly. Apatite fission-track data corroborate this rapid cooling event, and reveal a second rapid cooling event ca. 80 Ma. Evidence for contemporaneous deformation and a similar thermal evolution at Deep Sea Drilling Project Site 270 on the Ross Sea central high and for a migmatite dome on land attests to the regional extent of intracontinental extension. Extension occurred at a time of complex microplate interactions along the Cretaceous active Gondwana margin, sug- gesting that distributed deformation in the overriding Antarctic plate may be related to plate boundary dynamics.
Career Development: A human resource development perspective

Part I: Career Fundamentals 1. Introduction to Career Development 2. Career Theory and Concepts Part II: The Role of Career Development within Human Resource Development 3. Strategic CD/HRD 4. Common Career Development Interventions 5. Career Counseling Part III: Career Development Considerations 6. Helping Diverse Populations 7. Work Life Balance 8. Ethical Issues