A Novel Graph Centrality Based Approach to Analyze Anomalous Nodes with Negative Behavior

AbstractDetection of different kinds of anomalous behaviors originating from negative ties among actors in online social networks is an unexplored area requiring extensive research. Due to increase in social crimes such as masquerading, bullying, etc., identification and analysis of these activities has become need of the hour. Approaches from two separate, yet, similar research areas, i.e. anomaly detection and negative tie analysis, can be clubbed together to identify negative anomalous nodes. Use of best measures from centrality based (negative ties) and structure based approaches (anomaly detection) can help us identify and analyze the negative ties more efficiently. A comparative analysis has been performed to detect the negative behaviors in online networks using different centrality measures and their relationship in curve fitting anomaly detection techniques. From results it is observed that curve fitting analysis of centrality measures relationship performs better than independent analysis of centrality measures for detecting negative anomalous nodes

A high risk unstable case of left main bifurcation lesion treated with simultaneous kissing stents as salvage procedure

Bifurcation treatment with percutaneous coronary intervention is still one challenging task especially the left main bifurcation. And it becomes still more challenging when it is done in emergency situation in a very unstable patients. There are many one-stent and two-stent approaches available to treat the bifurcation lesions but no approach has proven superior to other. Here, we present a case of a 78-year-old male diagnosed with distal left main bifurcation lesion treated with simultaneous kissing stents technique presented with acute coronary syndrome, non-ST elevation myocardial infarction with pulmonary oedema in cardiogenic shock

Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms

Teaching collaborative argumentation is an advanced skill that many K-12 teachers struggle to develop. To address this, we have developed Discussion Tracker, a classroom discussion analytics system based on novel algorithms for classifying argument moves, specificity, and collaboration. Results from a classroom deployment indicate that teachers found the analytics useful, and that the underlying classifiers perform with moderate to substantial agreement with humans

Incidence of Impacted Mandibular Third Molars with Their Pattern and Associated Complications in Nepalese Population

INTRODUCTION: Impaction may be defined as the failure of complete eruption into a normal functional position of one tooth within normal time due to lack of space in the dental arch, caused by obstruction by another tooth or development in an abnormal position.MATERIAL AND METHODS: A cross sectional descriptive study was conducted on 945 patients (males=591, females=354) aged between 18- 50 years of age who had mandibular third molars impacted. The difficulty index for mandibular third molar for angulation and depth was based on Winter’s classification (1926).RESULTS: The most common type of impaction seen was Mesio- angular with (32%) followed by horizontal 264 (27.8%), then followed by other types. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 23.0CONCLUSION: Impacted third molars are a common observation in routine dental practice. The impaction rate of third molars is higher as compared to other teeth in the dentition. The high prevalence found in the present study, with more than half of these Nepalese adult patients having at least one impacted third molar

Mechanism of Sperm Immobilization by Escherichia coli

Aim. To explore the influence of Escherichia coli on the motility of human spermatozoa and its possible mechanism. Methods. Highly motile preparations of spermatozoa from normozoospermic patients were coincubated with Escherichia coli for 4 hours. At 1, 2 and 4 hours of incubation, sperm motility was determined. The factor responsible for sperm immobilization without agglutination was isolated and purified from filtrates. Results. This report confirms the immobilization of spermatozoa by E. coli and demonstrates sperm immobilization factor (SIF) excreted by E. coli. Further this factor was purified by ammonium sulfate precipitation, gel permeation chromatography, and ion-exchange chromatography. Purified SIF (56 kDa) caused instant immobilization without agglutination of human spermatozoa at 800 μg/mL and death at 2.1 mg/mL. Spermatozoa incubated with SIF revealed multiple and profound alterations involving all superficial structures of spermatozoa as observed by scanning electron microscopy. Conclusion. In conclusion, these results have shown immobilization of spermatozoa by E. coli and demonstrate a factor (SIF) produced and secreted by E. coli which causes variable structural damage as probable morphological correlates of immobilization

Emerging Roles for G Protein-Coupled Estrogen Receptor 1 in Cardio-Renal Health: Implications for Aging

Cardiovascular (CV) and renal diseases are increasingly prevalent in the United States and globally. CV-related mortality is the leading cause of death in the United States, while renal-related mortality is the 8th. Despite advanced therapeutics, both diseases persist, warranting continued exploration of disease mechanisms to develop novel therapeutics and advance clinical outcomes for cardio-renal health. CV and renal diseases increase with age, and there are sex differences evident in both the prevalence and progression of CV and renal disease. These age and sex differences seen in cardio-renal health implicate sex hormones as potentially important regulators to be studied. One such regulator is G protein-coupled estrogen receptor 1 (GPER1). GPER1 has been implicated in estrogen signaling and is expressed in a variety of tissues including the heart, vasculature, and kidney. GPER1 has been shown to be protective against CV and renal diseases in different experimental animal models. GPER1 actions involve multiple signaling pathways: interaction with aldosterone and endothelin-1 signaling, stimulation of the release of nitric oxide, and reduction in oxidative stress, inflammation, and immune infiltration. This review will discuss the current literature regarding GPER1 and cardio-renal health, particularly in the context of aging. Improving our understanding of GPER1-evoked mechanisms may reveal novel therapeutics aimed at improving cardio-renal health and clinical outcomes in the elderly

Machine Learning Based Datacenter Monitoring Framework

Monitoring the health of large data centers is a major concern with the ever-increasing demand of grid/cloud computing and the higher need of computational power. In a High Performance Computing (HPC) environment, the need to maintain high availability makes monitoring tasks and hardware more daunting and demanding. As data centers grow it becomes hard to manage the complex interactions between different systems. Many open source systems have been implemented which give specific state of any individual machine using Nagios, Ganglia or Torque monitoring software. In this work we focus on the detection and prediction of data center anomalies by using a machine learning based approach. We present the idea of using monitoring data from multiple monitoring solutions and formulating a single high dimensional vector based model, which further is fed into a machine-learning algorithm. In this approach we will find patterns and associations among the different attributes of a data center, which remain hidden in the single system context. The use of disparate monitoring systems in conjunction will give a holistic view of the cluster with an increase in the probability of finding critical issues before they occur as well as alert the system administrator

Wireless Weigh-In-Motion: using road vibrations to estimate truck weights

Vehicle count and weight data plays an important role in traffic planning, weight enforcement, and pavement condition assessment. This data is primarily obtained through weigh stations and weigh-in-motion stations which are currently very expensive to install and maintain. This dissertation presents a wireless sensor-based solution that is relatively inexpensive, and uses the measured pavement vibrations to estimate weight of moving vehicles.The proposed wireless sensor network (WSN) consists of vibration sensors that report pavement acceleration and temperature; vehicle detection sensors that report a vehicle's arrival and departure times; and an access point (AP) that controls the sensors and processes the incoming sensor data. The system can enable many new applications in infrastructure monitoring and intelligent transportation. We present energy-efficient algorithms for three such applications: automatic vehicle classification for categorizing each passing vehicle based on its axle count and inter-axle spacings; weigh-in-motion for estimating individual axle weight and total weight of trucks while they are traveling at normal speeds; and estimating pavement displacement from measured acceleration.The wireless vibration sensor developed for this project has a high resolution (≈ 400 μg) and is immune to traffic sounds that are generally picked up by MEMS accelerometers. The prototype system was deployed on real highways and results for vehicle classification, weigh- in-motion, and displacement estimation were compared against reference measurements. The system passed the accuracy standards for weigh-in-motion (WIM) systems and outperformed a nearby commercial WIM station, based on conventional technology. Since sensors are embedded directly in the pavement, the system can also enable real-time monitoring of pavement condition

A Review on an Access Point-Based FEC Mechanism for Video Transmission over Wireless LANs

ABSTRACT: Video transmission over the wireless network faces many challenges. The most critical challenge is related to packet loss. To overcome the problem of packet loss, Forward Error Correction is used by adding extra packets known as redundant packet or parity packet. Currently, FEC mechanisms have been adopted together with Automatic Repeat request (ARQ) mechanism to overcome packet losses and avoid network congestion in various wireless network conditions. In the current Adaptive FEC mechanism, the FEC packets are decided by the average queue length and average packet retransmission times. The Adaptive FEC mechanisms have been proposed to suit the network condition by generating FEC packets adaptively in the wireless network. However, the current Adaptive FEC mechanism has some major drawbacks such as the reduction of recovery performance which injects too many excessive FEC packets into the network. This is not flexible enough to adapt with varying wireless network condition. Therefore, the enhancement of Adaptive FEC mechanism (AFEC) known as Enhanced Adaptive FEC (Enface) has been proposed. The aim is to improve recovery performance on the current Adaptive FEC mechanism by injecting FEC packets dynamically based on varying wireless network conditions. Based on the findings, the optimal amount of FEC generated by Enface mechanism can recover high packet loss and produce good video quality An Enhanced Random Early Detection Forward Error Correction (ERED-FEC) mechanism is implemented to improve the quality of video transmissions over Wireless Local Area Networks (WLANs). KEYWORDS: Forward error correction, Video transmission, Wireless network, Packet loss, Video quality. I. INTRODUCTION In a wireless network, as the external environment changes, the channel error rate varies. In order to cope with errors, accurate channel-condition estimation and an effective error control mechanism is needed. Video communication is fundamentally different from data communication, since interactive video applications are delay and loss sensitive. Unlike data packets, late arriving video packets are useless to the video decoder. Furthermore, due to busty and location dependent errors, each user in a multicast system will most likely lose different packets. Therefore, a simple ARQ (Automatic Repeat request) based scheme is not appropriate for video multicast services over wireless channels since it can cause a large number of retransmissions. A promising solution for error control in multicasting over wireless networks is the use of forward error correction (FEC), where redundant information is sent a-priori by the source station, in order to be used by the receivers to correct errors/losses without contacting the source. The advantage of using FEC for multicasting is that a single parity packet can be used to correct independent single-packet losses among different receivers. The efficiency of FEC-based approaches for error correction in wireless multicasting has been shown via simulations [1]-[4]. Although these simulation results provide some insights on the way FEC should be applied, they do not consider a wireless network with multi-rate capabilities. Broadly speaking, sender-based FEC schemes can be categorized as either Static FEC (SFEC) or Dynamic FEC (DFEC). In SFEC schemes, the number of redundant packets added to the source packets remains constant irrespective of changes in the network condition. The recovery performance of SFEC schemes is therefore somewhat unpredictable because they fail to capture the real-time network conditions and adjust the FEC redundancy rate accordingly. Thus, various DFEC schemes have been proposed in recent years. In most DFEC schemes, the FEC rate is tuned at the sender based on information provided by the receiver