Miracle-dz/UniFAR-FTUs huggingface dataset:
OP-VEVO170022 1..10

Porcine stool-associated RNA virus (posavirus), and Human stool-associated RNA virus (husavirus) are viruses in the order Picornavirales recently described in porcine and human fecal samples. The tentative group (Posa and Posa-like viruses: PPLVs) also includes fish stool-associated RNA virus (fisavirus) as well as members detected in insects (Drosophila subobscura and Anopheles sinensis) and parasites (Ascaris suum). As part of an agnostic deep sequencing survey of animal and human viruses in Vietnam, we detected three husaviruses in human fecal samples, two of which share 97–98% amino acid identity to Dutch husavirus strains and one highly divergent husavirus with only 25% amino acid identity to known husaviruses. In addition, the current study found forty-seven complete posavirus genomes from pigs, ten novel rat stool-associated RNA virus genomes (tentatively named rasavirus), and sixteen novel bat stool-associated RNA virus genomes (tentatively named basavirus). The five expected Picornavirales protein domains (helicase, 3C-protease, RNAdependent RNA polymerase, and two Picornavirus capsid domain) were found to be encoded by all PPLV genomes. In addition, a nucleotide composition analysis revealed that the PPLVs shared compositional properties with arthropod viruses and predicted non-mammalian hosts for all PPLV lineages. The study adds seventy-six genomes to the twentynine PPLV genomes currently available and greatly extends our sequence knowledge of this group of viruses within the Picornavirales order.
EXISTENCE, BLOW-UP AND EXPONENTIAL DECAY FOR KIRCHHOFF-LOVE EQUATIONS WITH DIRICHLET CONDITIONS

The article concerns the initial boundary value problem for a nonlinear Kirchhoff-Love equation. First, by applying the Faedo-Galerkin, we prove existence and uniqueness of a solution. Next, by constructing Lyapunov functional, we prove a blow-up of the solution with a negative initial energy, and establish a sufficient condition for the exponential decay of weak solutions.
Bayes Adaptive Reinforcement Learning versus Off-line Prior-based Policy Search: an Empirical Comparison

This paper addresses the problem of decision making in unknown nite Markov Decision Processes (MDPs). The uncertainty about the MDPs is modelled, using a prior distribution over a set of candidate MDPs. The performance criterion is the expected sum of discounted rewards collected over an innite length trajectory. Time constraints are dened
www.econstor.eu Coherent Price Systems and Uncertainty-Neutral Valuation

We consider fundamental questions of arbitrage pricing arising when the uncertainty model incorporates volatility uncertainty. With a standard probabilistic model, essential equivalence between the absence of arbitrage and the existence of an equivalent martingale measure is a folk theorem, see Harrison and Kreps (1979). We establish a microeconomic foundation of sublinear price systems and present an extension result. In this context we introduce a prior dependent notion of marketed spaces and viable price systems. We associate this extension with a canonically altered concept of equivalent symmetric martingale measure sets, in a dynamic trading framework under absence of prior depending arbitrage. We prove the existence of such sets when volatility uncertainty is modeled by a stochastic differential equation, driven by Peng’s G-Brownian motion.
Evaluating the Thermal Condition of Electrical Equipment via IRT Image Analysis

The integrity of electrical power equipment is of paramount importance when it supplies electricity throughout a facility. However, the reliability of the equipments will degraded after sometime, and appropriate maintenance has to be taken accordingly to avoid future faults. Infrared thermography (IRT) image analysis is a commonly used technique for diagnosing the reliability of electrical equipments. Conventionally, the analysis of infrared image is done manually and takes very long time for further analysis. This paper proposes an automatic thermal fault detection and classification system for evaluating the condition of electrical equipment by analyzing its infrared image. First, the image is segmented to find the target region of interest (ROI). The detected regions which have the same region properties are grouped together in order to remove the unwanted regions. Finally, statistical features from each detected region are extracted and classified using the support vector machine (SVM) algorithm. The thermal condition of electrical equipments is evaluated based on qualitative measurement technique. The experimental result shows that the proposed system can detect and classify the thermal condition of electrical equipments.
1D Infrared Camera Distortion Based on Polynomial Model

In this paper, we propose a novel method for 1D infrared camera distortion based on polynomial model. We derive a 1D camera calibration algorithm and then estimate the distortion parameters by means of minimum calibration error. The used polynomial model is linear, such that the estimation can be finished with low computation burden without losing accuracy. The proposed method is validated with real images. The experimental results show that the distortion parameters can be estimated with high accuracy up to about 2-pixel mean error in less than 10 iterations. Keywords-Camera calibration; Lens distortion; Infrared camera
ACTIVE SEISMOTECTONIC STRUCTURES IN THE AREA OF CHIOS ISLAND, NORTH AEGEAN SEA, REVEALED FROM MICROSEISMICITY AND FAULT PLANE SOLUTIONS

Data from a digital seismological network operating during April–July 2002 were used for the microseismicity study of the area around Chios Island (East Aegean Sea, Greece). Numerous microearthquakes were detected and more than 950 well–located hypocenters were obtained along with 96 reliably determined focal mechanisms. The epicentral distribution and focal mechanisms of several earthquakes revealed that the NE–SW striking dextral strike–slip faults dominate in the study area as is the dominant pattern in North Aegean Sea. An earthquake swarm near Psara Island and a cluster offshore the west coast of Chios Island are associated with NW– SE trending left–lateral strike–slip faults, orthogonal to the dextral ones. Near the west coast of the Island the microseismicity evidences that oblique faulting dominates, whereas onshore and offshore the North Chios Island, clusters of events manifest the activation of either E–W or N–S striking normal faults. This complex deformation pattern is the manifestation of the dextral strike– slip faulting termination against conjugate sinistral ones, the transition from strike–slip to normal through the oblique faulting, as well as the activation of biaxial normal faulting in places.
Atomic force microscope nanolithography of graphene: Cuts, pseudocuts, and tip current measurements

We investigate atomic force microscope nanolithography of single and bilayer graphene. In situ tip current measurements show that cutting of graphene is not current driven. Using a combination of transport measurements and scanning electron microscopy we show that while indentations accompanied by tip current appear in the graphene lattice for a range of tip voltages, real cuts are characterized by a strong reduction in the tip current above a threshold voltage. The reliability and flexibility of the technique is demonstrated by the fabrication, measurement, modification, and remeasurement of graphene nanodevices with resolution down to 15 nm.
Large-Scale Protein-Protein Interaction Detection Approaches: Past, Present and Future

ABSTRACT Protein-protein interaction elucidation is of immense importance to biology, medicine, and related fields. It is now realized that various diseases such as different types of cancers, Alzheimer's disease, etc, require an integrated view of protein interaction networks. To aid in deciphering these networks, a number of methods have been developed including yeast two-hybrid analysis, tandem affinity purification tagging, as well as protein microarray technologies. In this article, we discuss some of the most important trends and technologies of the past, reflect on their present, and explore some exciting future directions in the field of large-scale protein-protein interaction detection. We argue that the future of the protein interaction elucidation field lies in the development of novel and/or improved high-throughput techniques that generate reproducible and most importantly, quantitative data.
Basic Solutions for the Key-Exposure Problem of Cloud Storage Auditing

Auditing is an important service to verify the data in the cloud. Most of the auditing protocols are based on the assumption that the client’s secret key for auditing is secure. The security is not fully achieved, because of the low security parameters of the client. If the auditing protocol is not secured means the data of the client will exposed inevitably. In this paper a new mechanism of cloud auditing is implemented. And investigate to reduce the damage of the client key exposure in cloud storage auditing. Here the designing is built upon to overcome the week key auditing process. The auditing protocol is designed with the help of key exposure resilience. In the proposed design, the binary tree structure and the pre-order traversal technique is used to update the secret keys of the client. The security proof and the performance shows the cloud storage auditing with key exposure resilience is very efficient.
Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus

With conversational agents or chatbots making up in quantity of replies rather than quality, the need to identify user intent has become a main concern to improve these agents. Dialog act (DA) classification tackles this concern, and while existing studies have already addressed DA classification in general contexts, no training corpora in the context of e-commerce is available to the public. This research addressed the said insufficiency by building a text-based corpus of 7,265 posts from the question and answer section of products on Lazada Philippines. The SWBD-DAMSL tagset for DA classification was modified to 28 tags fitting the categories applicable to e-commerce conversations. The posts were annotated manually by three (3) human annotators and preprocessing techniques decreased the vocabulary size from 6,340 to 1,134. After analysis, the corpus was composed dominantly of single-label posts, with 34% of the corpus having multiple intent tags. The annotated corpus allowed insights toward the structure of posts created with single to multiple intents.
A Partition Rule for SAT Solvers: The Multiple Partition Rule (MPR)

We propose a new partition rule for DPLL-based SAT Solvers. Most of the complete SAT solvers usually are based on Davis, Logemann and Loveland (DPLL) rules. One most DPLL rule actually used in the modern algorithms is the Classical Partition Rule (CPR), that divides the problem into sub-problems (resolvents) and thereby it finds a solution through a decision tree. In this paper a new partition rule named Multiple Partition Rule (MPR) is presented. MPR generates a new decision tree according to clauses instead CPR which generates a decision tree according to variables. MPR can be used for developing new SAT’s algorithms and to improve existence ones that use CPR. Experimental results comparing MPR versus CPR show that using MPR makes more efficient solutions than CPR.
Modified Early DBA Algorithm for Reducing Packet Delay and Waiting Time of Unstable ONUs in PON

Passive optical network (PON) is a highly dynamic access network that effectively converge several service providers. In a time cycle, some optical network units (ONUs) of PON may miss the usual polling instant called unstable ONUs. According to the existing early dynamic bandwidth allocation (E-DBA) algorithm, once an ONU miss the usual polling instant it needs to be waited until the end of transmissions from the entire stable ONUs. So the unstable ONUs suffers from more waiting time than the stable ONUs. This paper proposes a new DBA algorithm called modified E-DBA (ME-DBA) algorithm, for reduction of waiting times of the unstable ONUs. In the proposed algorithm, total ONUs are divided into several small groups. The data packets from all the stable ONUs of a group are transmitted 1 st and then the data packets from the unstable ONUs of that group are transmitted. We have analyzed and compared the performance of the proposed ME-DBA algorithm with the existing E-DBA algorithm in terms of the delay and waiting time of the unstable ONUs by simulations. The simulation results show that the proposed algorithm provides lower packet delay and waiting time for the unstable ONUs than that of the existing E-DBA algorithm.
Subspace Clustering with Sparsity and Grouping Effect

Subspace clustering aims to group a set of data from a union of subspaces into the subspace from which it was drawn. It has become a popular method for recovering the low-dimensional structure underlying high-dimensional dataset. The state-of-the-art methods construct an affinity matrix based on the self-representation of the dataset and then use a spectral clustering method to obtain the final clustering result. These methods show that sparsity and grouping effect of the affinity matrix are important in recovering the low-dimensional structure. In this work, we propose a weighted sparse penalty and a weighted grouping effect penalty in modeling the self-representation of data points. The experimental results on Extended Yale B, USPS, and Berkeley 500 image segmentation datasets show that the proposed model is more effective than state-of-the-art methods in revealing the subspace structure underlying high-dimensional dataset.
HOW USEFUL IS QUANTILIZATION FOR MITIGATING SPECIFICATION-GAMING?

For some tasks, there exists a goal that perfectly describes what the designer wants the AI system to achieve. For many tasks, however, the best available proxy objective is only a rough approximation of the designer’s intentions. When given such a goal, a system that optimizes the proxy objective tends to select degenerate solutions where the proxy reward is very different from the designer’s true reward function. One way to counteract the tendency toward specification-gaming is quantilization, a method that interpolates between imitating demonstrations, and optimizing the proxy objective. If the demonstrations are of adequate quality, and the proxy reward overestimates performance, then quantilization has better guaranteed performance than other strategies. However, if the proxy reward underestimates performance, then either imitation or optimization will offer the best guarantee. This work introduces three new gym environments: Mountain Car-RR, Hopper-RR, and Video Pinball-RR, and shows that quantilization outperforms baselines on these tasks.
Secretion : translocation of a protein to the outside of the cell System : the secretion apparatus Cargo : the translocated polypeptide

Bacteria have many export and secretion systems that translocate cargo into and across biological membranes. Seven secretion systems contribute to pathogenicity by translocating proteinaceous cargos that can be released into the extracellular milieu or directly into recipient cells. In this review, we describe these secretion systems and how their complexities and functions reflect differences in the destinations, states, functions, and sizes of the translocated cargos as well as the architecture of the bacterial cell envelope. We examine the secretion systems from the perspective of pathogenic bacteria that proliferate within plant tissues and highlight examples of translocated proteins that contribute to the infection and disease of plant hosts.
Effects of carbon and nitrogen content on seed germination of calabrian pine (Pinus brutia) populations Efectos del contenido de carbono y nitrógeno en la germinación de semillas de poblaciones de pino de Calabria (Pinus brutia)

SUMMARY Calabrian pine (Pinus brutia) seeds collected from fifteen populations were analyzed for their carbon (C) and nitrogen (N) content. Moreover, germination percentages (GP) and mean germination times (MGT) of the seeds were evaluated based on their carbon and nitrogen concentrations, C/N ratio, total carbon mass (CM), and total nitrogen mass (NM). Except for C/N ratios, variables showed significant differences among populations. The highest seed carbon concentration was 54 %, and the lowest was 50 %. Seed nitrogen concentrations varied from 2.6 % to 3.2 %. The highest correlations were found between the GP of chilled filled seeds (GPFS) and the combined concentrations of carbon and nitrogen (R 2 = 0.65) and the GPFS and concentrations of carbon (R 2 = 0.63), both being significant. The relationships between germination parameters and combined concentrations of carbon and nitrogen as well as CM and NM traits were generally higher than any found in individual evaluations, except for the concentrations of carbon.
Documentation of Cavity Closure by the Seed in Mango Fruit (Mangifera indica L.)

As mango is a climacteric fruit, the maturity stage at harvest is paramount in determining the final product quality after postharvest ripening. The method of manually “tapping” mangoes, a traditional practice of farmers, utilizes the acoustical properties the fruits to decide harvest time. Mango fruit acoustics change over time as the mango seed develops and the surrounding cavity that initially exists within the endocarp fills. Usually, this method is used in parallel with visual evaluation of the mesocarp color around the endocarp to ensure that the decision of harvest time is based on two different criteria. Supporting the development of an objective, non-invasive acoustic maturity analysis, a study on the dynamics of the cavity closure mentioned above was conducted monitoring maturation and post-harvest ripening of mango fruits (cv. Chok Anan) grown in a research orchard at Mae Jo University, Thailand. Fruits analyzed at 2-3 day intervals during maturation and ripening were cross sectioned along the sagittal plane. The areas of the seed and endocarp were measured by use of a millimeter raster. As a result, the closure of the cavity was documented and correlated with other parameters of mango development that are conventionally used in destructive characterization of harvest maturity and ripeness. Knowledge about the ripening behavior, including the dynamics of the cavity closure, may promote the definition of thresholds for picking maturity in development and calibration of acoustic maturity sensors based on resonance.
Regional conductivity structure of Cascadia: Preliminary results from 3D inversion of USArray transportable array magnetotelluric data

In conjunction with the USArray component of EarthScope, long period magnetotelluric (MT) data are being acquired in a series of arrays across the continental US. Initial deployments in 2006 and 2007 acquired data (10–10,000 s) at 110 sites covering the US Pacific Northwest, distributed with the same nominal spacing as the USArray seismic transportable array (∼75 km). The most striking and robust features revealed by initial three‐dimensional inversion of this dataset are extensive areas of high conductivity in the lower crust beneath all of southeastern Oregon, and beneath the Cascade Mountains, contrasting with very resistive crust in Siletzia and the Columbia Embayment. Significant variations in upper mantle conductivity are also revealed by the inversions, with the most conductive mantle beneath the Washington backarc, and the most resistive corresponding to subducting oceanic mantle.
CORAL REEF HABITAT CHANGING ASSESSMENT OF DERAWAN ISLANDS, EAST KALIMANTAN, USING REMOTE SENSING DATA

Coral reefs in Dcrawan Islands are astonishingly rich in the marine diversity. However, these reefs are threatened by humans. Destructive fishing methods, such as trawl, blasting and cyanide fishing practise, are found to be the main cause of this degradation. The coral reefs habitat reduction is also caused by tourism activities due to trampling over the reef and charging organic and anorganic wastes. The capabilities of satellite remote sensing techniques combined with field data collection have been assessed for the coral reef mapping and the change detection of Derawan Island. Multi-temporal Landsat TM and ETM images (1991 and 2002) have been used. Comparison of the classified images of 1991 and 2002 shows spatial changes of the habitat. The changes were in accordance with the known changes in the reef conditions. The analysis shows the decrease of the coral reef and patchy seagrass percentage, while the increase of the algae composite and patchy reef percentage. Keywords : Coral Reef, Change Detection, Landsat-TM, Derawan
Unsupervised Neologism Normalization Using Embedding Space Mapping

This paper presents an approach for detecting and normalizing neologisms in social media content. Neologisms refer to recent expressions that are specific to certain entities or events and are being increasingly used by the public, but have not yet been accepted in mainstream language. Automated methods for handling neologisms are important for natural language understanding and normalization, especially for informal genres with user generated content. We present an unsupervised approach for detecting neologisms and then normalizing them to canonical words without relying on parallel training data. Our approach builds on the text normalization literature and introduces adaptations to fit the specificities of this task, including phonetic and etymological considerations. We evaluate the proposed techniques on a dataset of Reddit comments, with detected neologisms and corresponding normalizations.
Longitudinal Pilot-induced Oscillation Tendencies Prediction Method of Receiver Aircraft in Hose-drogue Aerial Refueling

This paper proposes a new method for predicting longitudinal Pilot-Induced Oscillation (PIO) tendencies of receiver aircraft in hose-drogue aerial refueling. Conventional criteria of PIO are unsuited to predict the tendency while docking, owing to attitude and path of receiver aircraft needed to be control precisely. Based on mission-oriented flying qualities approach, the ground-based refueling simulation experiments have been conducted for receiver aircraft of different handling characteristics. The results show lower longitudinal PIO tendency requires adequate bandwidth of flight path response, appropriate pitch attitude zero of the short period mode and control gain. The new assessment method will be significant for flight control law design of aerial refueling mode.