Miracle-dz/UniFAR-FTUs huggingface dataset:
Pattern exploration and event detection from geo-tagged tweets

Huang, Yuqian M.S.E. , Purdue University, December 2016. Pattern Exploration and Event Detection from Geo-tagged Tweets. Major Professor: Jie Shan. Twitter is one of the most famous social networking services in the world. With 313 million monthly active users, Twitter can produce around 6,000 tweets per second, which corresponds to around 500 million tweets per day and around 200 billion tweets per year. Besides being a successful company, Twitter provides a great opportunity to scientists from various disciplines. Twitter allows users to tweet with a location tag, which enables the connection of virtual networks to the events happening in real life. Because of the massive amount of valuable geographic information, location-based services, targeted advertising, and social network studies could benefit considerably from the Twitter dataset. There are two primary objectives in this research. One is to identify the tweeting patterns of individual users; the other is to retrieve public events as well as to detect potential events. To identify the patterns of an individual user, this research selects the tweets from this user within a particular time period. The tweets are grouped by the hour of the day and then the density-based spatial clustering of applications with noise (DBSCAN) method is applied to cluster the tweets from every hour. Based on this method, the tweets are classified into different clusters without predefining the number of clusters. With the calculation of the spatial and temporal probability of every cluster, the probability of the appearance of the user in a particular area at a given time can be predicted. In event detection, the whole dataset is grouped by the day of the year, and the daily dataset is classified into clusters through STDBSCAN (Spatial-Temporal DBSCAN) to discover events. The word frequency of
A Host Oriented Omnidirectional Immune Architecture against Malicious Codes

Most recent immune models and algorithms against malicious codes not only take too much cost in learning and training, but they also have shortcomings to some extend. In fact, the biologic enginery of defending harmful invasion always needs the cooperation of multiple systems of the organism. This paper analyses the essence of the malicious codes problem, and then provides a host oriented omnidirectional immune architecture against malicious codes. Instead of detecting or recognizing the exact characters of malicious codes, the architecture gives computer system the self-immune ability against malicious codes by getting rid of the prerequisites for malicious codes to spread and do harm. This paper analysis the principle of the architecture and gives a frame to realize the model function. Keywordsmalicious code; immune algorithm; rule function; Trusted Computing Technology
Antifungal Susceptibility Testing Practices at Acute Care Hospitals Enrolled in the National Healthcare Safety Network, United States, 2011–2015

Abstract We assessed availability of antifungal susceptibility testing (AFST) at nearly 4000 acute care hospitals enrolled in the National Healthcare Safety Network. In 2015, 95% offered any AFST, 28% offered AFST at their own laboratory or at an affiliated medical center, and 33% offered reflexive AFST. Availability of AFST improved from 2011 to 2015, but substantial gaps exist in the availability of AFST.
Hymenolepis diminuta and Rodentolepis nana (Hymenolepididae: Cyclophyllidea) in urban rodents of Gran La Plata: association with socio-environmental conditions

Abstract The aim of this survey was to study two Hymenolepididae species in urban rodents, Rattus rattus and Rattus norvegicus, and to analyse factors that favour their presence in the environment and pose a sanitary risk. Hymenolepis diminuta and Rodentolepis nana were found in R. rattus and R. norvegicus in different proportions. Values of prevalence, mean abundance and mean intensity were recorded, and new morphometric characters were described, adding to previously known information. No significant differences were found. However, the results revealed that there is a tendency for these parasites to develop in areas with deficient socio-structural conditions and in water bodies. This study thereby shows that certain areas on the periphery of the Gran La Plata favour the existence of rodents, which act as sentinels of zoonotic diseases, and stresses the need to take action to minimize them in order to avoid putting human and animal health at risk.
Snag'em: Graph Data Mining for a Social Networking Game

New conference attendees often lack existing social networks and thus face difficulties in identifying relevant collaborators or in making appropriate connections. As a consequence they often feel disconnected from the research community and do not derive the desired benefits from the conferences that they attend. In this paper we discuss Snag’em, a social network game designed to support new conference attendees in forming social connections and in developing an appropriate research network. Snag’em has been used at seven professional conferences and in four student settings and is the subject of active research and development. The developers have sought to make the system engaging and competitive while preventing players from ‘gaming’ it and thus accruing points while neglecting to form real-world connections. We briefly describe the system itself, discuss its impact on users, and describe our ongoing work on the identification of critical hub players and important social networks.
Haze Transport in Titan's Stratosphere

Abstract We continue development of a new Titan General Cir-culation Model (GCM) using the Flexible ModelingSystem (FMS) dynamical core from the GeophysicalFluidDynamicsLaboratory(GFDL). TheFMScoreisstate-of-the-art and conserves angular momentum bet-ter than other existing dynamical cores which is es-pecially important for modeling Titan's thick atmo-sphere. Furthermore, an aerosol microphysics pack-age has been developed and linked to the core model.This microphysics is based on the modied version oftheCommunityandRadiationModelforAtmospheres(CARMA) used to study haze and cloud physical pro-cesses in Titan's atmosphere [1], [2]. The model alsouses a radiative transfer package that is based on thecorrelated-k two-stream model of [3]. 1. Introduction A general circulation model (GCM; a global scalemodel that simulates the large scale behavior of an at-mosphere) is the most complete tool available to com-prehensively model planetary atmospheres. Adapt-ing terrestrial GCMs to study Titan's extensive atmo-sphere has met with a number of complications fromfactors such as the long radiative time constant in Ti-tan's lower atmosphere and the extensive haze layerwhich is the primary visible feature of Titan's atmo-sphere. Despite this, a number of platforms exist, suchas [4],[5],[6]. We present a further attempt at under-standingTitan'satmosphericcircultionusingtheFlex-ible Modeling System (FMS) dynamical core whichwehavecoupledtothephysicspackagesdescribedbe-low.
Developmental patterning of the cardiac atrioventricular canal by Notch and Hairy-related transcription factors

Mutations in Notch2, Jagged1 or homologs of the Hairy-related transcriptional repressor Hey2 cause congenital malformations involving the non-chamber atrioventricular canal (AVC) and inner curvature (IC) regions of the heart, but the underlying mechanisms have not been investigated. By manipulating signaling directly within the developing chick heart, we demonstrated that Notch2, Hey1 and Hey2 initiate a signaling cascade that delimits the non-chamber AVC and IC regions. Specifically, misactivation of Notch2 signaling, or misexpression of either Hey1 or Hey2, repressed Bmp2. Because Jagged (also known as Serrate in non-mammalian species) ligands were found to be present in prospective chamber myocardium, these data support the model that Notch2 and Hey proteins cause the progressive restriction of Bmp2 expression to within the developing AVC and IC, where it is essential for differentiation. Misactivation or inhibition of Notch2 specifically induced or inhibited Hey1, respectively, but these manipulations did not affect Hey2, implicating Hey1 as the direct mediator of Notch2. Bmp2 within the developing AVC and IC has been shown to induce Tbx2, and we found that Tbx2 misexpression inhibited the expression of both Hey1 and Hey2. Tbx2, therefore, is envisaged to constitute a feedback loop that sharpens the border with the developing AVC and IC by delimiting Hey gene expression to within prospective chamber regions. Analysis of the loss-of-function phenotype in mouse embryos homozygous for targeted disruption of Hey2 revealed an expanded AVC domain of Bmp2. Similarly, zebrafish gridlock (Hey2 homolog) mutant embryos showed ectopic expression of Bmp4, which normally marks AVC myocardium in this species. Thus, Hey pathway regulation of cardiac Bmp appears to be an evolutionarily conserved mechanism to delimit AVC and IC fate, and provides a potential mechanistic explanation for cardiac malformations caused by mutations in Serrate/Jagged1 and Notch signaling components.
The Blast Resistance Gene Pi54of Cloned from Oryza officinalis Interacts with Avr-Pi54 through Its Novel Non-LRR Domains

The dominant rice blast resistance gene Pi54 cloned by map-based cloning approach from indica rice cultivar Tetep confers broad spectrum resistance to Magnaporthe oryzae. In this investigation, an orthologue of Pi54 designated as Pi54of was cloned from Oryza officinalis conferring high degree of resistance to M. oryzae and is functionally validated. We have also characterized the Pi54of protein and demonstrate its interaction with AVR-Pi54 protein. The Pi54of encoded ∼43 kDa small and unique cytoplasmic LRR family of disease resistance protein having unique Zinc finger domain overlapped with the leucine rich repeat regions. Pi54of showed Magnaporthe-induced expression. The phylogenetic and western blot analysis confirmed orthologous nature of Pi54 and Pi54of genes, whereas the identity of protein was confirmed through MALDI-TOF analysis. The in silico analysis showed that Pi54of is structurally more stable than other cloned Pi54 proteins. The molecular docking revealed that Pi54of protein interacts with AVR-Pi54 through novel non-LRR domains such as STI1 and RhoGEF. The STI1 and GEF domains which interact with AVR-Pi54 are also components of rice defensome complex. The Pi54of protein showed differential domain specificity while interacting with the AVR protein. Functional complementation revealed that Pi54of transferred in two rice lines belonging to indica and japonica background imparts enhanced resistance against three highly virulent strains of M. oryzae. In this study, for the first time, we demonstrated that a rice blast resistance gene Pi54of cloned from wild species of rice provides high degree of resistance to M. oryzae and might display different molecular mechanism involved in AVRPi54-Pi54of interaction.
Wondering what to blame? Turn PV performance assessments into maintenance action items through the deployment of learning algorithms embedded in a raspberry Pi device

Monitoring of photovoltaic (PV) systems can maintain efficient operations. However, extensive monitoring of large quantities of data can be a cumbersome process. The present work introduces a simple, inexpensive, yet effective data monitoring strategy for detecting faults and determining lost revenues automatically. This was achieved through the deployment of Raspberry Pi (RPI) device at a PV system's combiner box. The RPI was programmed to collect PV data through Modbus communications, and store the data locally in a MySQL database. Then, using a Gaussian Process Regression algorithm the RPI device was able to accurately estimate string level current, voltage, and power values. The device could also detect system faults using a Support Vector Novelty Detection algorithm. Finally, the RPI was programmed to output the potential lost revenue caused by the abnormal condition. The system analytics information was then displayed on a user interface. The interface could be accessed by operations personal to direct maintenance activity so that critical issues can be solved quickly.
A predictive online path planning and optimization approach for cooperative mobile service robot navigation in industrial applications

In this paper we address the problem of online trajectory optimization and cooperative collision avoidance when multiple mobile service robots are operating in close proximity to each other. Using cooperative trajectory optimization to obtain smooth transitions in multi-agent path crossing scenarios applies to the demand for more flexibility and efficiency in industrial autonomous guided vehicle (AGV) systems. We introduce a general approach for online trajectory optimization in dynamic environments. It involves an elastic-band based method for time-dependent obstacle avoidance combined with a model predictive trajectory planner that takes into account the robot's kinematic and kinodynamic constraints. We augment that planning approach to be able to cope with shared trajectories of other agents and perform an potential field based cooperative trajectory optimization. Performance and practical feasibility of the proposed approach are demonstrated in simulation as well as in real world experiments carried out on a representative set of path crossing scenarios with two industrial mobile service robots.
On simple oversampled A/D conversion in shift-invariant spaces

It has been found that the quantization error e for a conventional oversampled analog-to-digital (A/D) conversion behaves like /spl par/e/spl par//sup 2/=O(/spl tau//sup 2/) with respect to the sampling rate /spl tau/. Recently, conventional A/D conversion has been extended to A/D conversion based on shift-invariant spaces. As consequences of such extension, it offers rich choices to build a nonideal A/D conversion system of high accuracy and low computational complexity, as well as reduces the noise sensitivity and computational complexity in digital-to-analog (D/A) conversion. Therefore, it is necessary to establish the estimate of quantization error for the extended A/D conversion based on shift-invariant spaces. In this paper, we introduce a constructive method to establish an estimate of the quantization error as |e|/sup 2/=O(/spl tau//sup 2/) for oversampled A/D conversion in shift-invariant spaces. Meanwhile, we demonstrate that the bit rate required to encode the converted digital signal in such A/D conversion scheme only increases as the logarithm of the sampling ratio. Therefore, the quantization error is an exponentially decaying function of the bit rate. In order to establish such an estimate, we need the nonuniform sampling theorem for shift-invariant spaces, which, as the necessary preparation, is studied prior to introducing the constructive method.
A versatile object tracking algorithm combining Particle Filter and Generalised Hough Transform

This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information from a back-projection map computed from the Generalised Hough Transform, providing for every pixel the degree to which it may belong to the object, and from the Particle Filter, providing a probability density on the global object state. The purpose of the proposed tracker is to make the most of the two algorithms, in terms of robustness to appearance variation like scaling, rotation, non-rigid deformation or illumination changes.
Spatial organization of gold and alteration mineralogy in hydrothermal systems: wavelet analysis of drillcore from Sunrise Dam Gold Mine, Western Australia

Abstract The spatial distributions of mineralization and alteration in hydrothermal systems are complex and are often considered to be cryptic and problematic to quantify. We used wavelet analysis of conventional hyperspectral drillcore logs to demonstrate quantitatively that primary Au mineralization, common vein-hosted mineralogy (calcite and ankerite), host rock alteration mineralogy (sericite and chlorite) and regional-scale metamorphic assemblages (amphibole) organize spatially as multifractals. This documentation of multifractal spatial organization in Au and alteration mineralogy is sufficient to show that they are the result of underlying deterministic dynamic processes as opposed to random stochastic processes. The application of wavelets to three ore bodies (GQ, Vogue and Cosmo East) from the highly endowed Archaean Sunrise Dam hydrothermal Au system of Western Australia shows that the spatial organizations of Au and ankerite are more closely associated in GQ than in Vogue. The spatial organization of Au in Vogue is more strongly associated with calcite. Primary Au mineralization and infill carbonate mineralogy are more complexly organized than sericitic and chloritic host rock alteration. Although demonstrated here for a hydrothermal system, wavelet analysis is readily applicable to downhole or outcrop data from any deposit type.
Carboplatin with Decitabine Therapy, in Recurrent Platinum Resistant Ovarian Cancer, Alters Circulating miRNAs Concentrations: A Pilot Study

Objective Plasma miRNAs represent potential minimally invasive biomarkers to monitor and predict outcomes from chemotherapy. The primary goal of the current study—consisting of patients with recurrent, platinum-resistant ovarian cancer—was to identify the changes in circulating miRNA concentrations associated with decitabine followed by carboplatin chemotherapy treatment. A secondary goal was to associate clinical response with changes in circulating miRNA concentration. Methods We measured miRNA concentrations in plasma samples from 14 patients with platinum-resistant, recurrent ovarian cancer enrolled in a phase II clinical trial that were treated with a low dose of the hypomethylating agent (HMA) decitabine for 5 days followed by carboplatin on day 8. The primary endpoint was to determine chemotherapy-associated changes in plasma miRNA concentrations. The secondary endpoint was to correlate miRNA changes with clinical response as measured by progression free survival (PFS). Results Seventy-eight miRNA plasma concentrations were measured at baseline (before treatment) and at the end of the first cycle of treatment (day 29). Of these, 10 miRNAs (miR-193a-5p, miR-375, miR-339-3p, miR-340-5p, miR-532-3p, miR-133a-3p, miR-25-3p, miR-10a-5p, miR-616-5p, and miR-148b-5p) displayed fold changes in concentration ranging from -2.9 to 4 (p<0.05), in recurrent platinum resistant ovarian cancer patients, that were associated with response to decitabine followed by carboplatin chemotherapy. Furthermore, lower concentrations of miR-148b-5p after this chemotherapy regimen were associated (P<0.05) with the PFS. Conclusions This is the first report demonstrating altered circulating miRNA concentrations following a combination platinum plus HMA chemotherapy regiment. In addition, circulating miR-148b-5p concentrations were associated with PFS and may represent a novel biomarker of therapeutic response, with this chemotherapy regimen, in women with recurrent, drug-resistant ovarian cancer.
Dysmodularity: a neurocognitive model for schizophrenia.

Hoffman and McGlashan's introduction of the term neurodynamics prompts a neurocognitive account of schizophrenia along the same lines, called "dysmodularity. " In cognitive terms dysmodularity describes an impairment in the function of specialized processors due to a breakdown in one of their prime attributes: informational encapsulation. In neural terms dysmodularity implies increased structural and functional connectivity, reduced anatomical specialization such as lateral asymmetries, and increased white matter in relation to gray. Reduced cortical pruning would be one mechanism for dysmodularity. This model is opposite to the excessive pruning model proposed by Hoffman and McGlashan, but we believe it is more firmly supported by the literature, including some articles in the same issue of Schizophrenia Bulletin (Vol. 19, No. 1, 1993).
Master thesis : Feasibility Study of a Mid-wave Infrared CubeSat for Smart Irrigation of Agricultural Fields - "OUFTI-NEXT"

OUFTI-NEXT is going to be the third CubeSat developed by Université de Liège. It is expected to be one of the first CubeSats equipped with a Mid-Wave Infrared camera and the first demonstrator for the use of this technology for agricultural fields temperature monitoring. This work has the aim to evaluate if the required performances can be reached by a 3U CubeSat orbiting in LEO and then, if the OUFTI-NEXT mission is feasible. To answer that question, the necessary instrument characteristics have been individualized and compared with commercially available cameras. To evaluate the feasibility of the mission, a software for study how the different parameters influence the instrument performances has been developed. In particular, a procedure for a quick evaluation of the thermal resolution has been realized. Models for radiometry, optics, and detector to be implemented in parametric studies are going to be proposed.
PHOSPHATE REMOVAL FROM AQUEOUS SOLUTION USING A QUATERNIZED ELECTROSPUN CELLULOSE NANOFIBER AS AN ANION EXCHANGE RESIN

Nutrient pollution is a serious problem that is threatening water quality worldwide. Phosphate in high concentrations is the leading contributor to the degradation of estuaries, lakes and reservoirs, and consequently to the creation of hypoxic zones, where fish and aquatic life cannot survive. A quaternized cellulose nanofiber mesh was prepared using a choline-based ionic liquid to serve as an anion exchange resin for the removal of phosphate from aqueous solutions. A 17% cellulose acetate (CA) solution in a mixture of acetic acid and water (75/25% v/v) was electrospun into nonwoven fiber mesh. The latter was heat-treated at 195oC for 1 hour and then alkali-treated to obtain regenerated cellulose (RC) mesh. The RC mesh was then quaternized in a mixture of a choline chloride derivative and urea in the presence of imidazole. The structure and morphology of the functionalized mesh were characterized using Fourier Transform Infrared Spectroscopy (FTIR) and polarization microscopy. Batch tests were performed to evaluate the adsorption capacity of the mesh for the removal of phosphorus as phosphate (PO4 -P). The preliminary results showed a maximum uptake for PO4 -P in the order of 55 mg/g mesh. The Langmuir isotherm adsorption model fit the adsorption data best, suggesting a monolayer adsorption mechanism. The developed anion exchange resin can potentially be useful for other water purification purposes mainly the removal of other anions of environmental concern.
Amoxicillin therapy of urinary tract infections.

A new semisynthetic penicillin, amoxicillin, was administered orally to 50 patients with urinary tract infection. Dosage was generally 250 mg three times a day. The infecting organism was eradicated from 47 of the 50 patients, four of the 47 patients developed a new infection, and the original organism persisted in three. Relapse of infection occurred in five of the 30 patients with a negative urine culture after treatment. The final rate of cure was 76%. Adverse side effects and toxicity were negligible.