Miracle-dz/UniFAR-FTUs huggingface dataset:
AN INTERWORKING IMPLEMENTATION AND PERFORMANCE EVALUATION IN IEEE 802 . 11 S BASED CAMPUS MESH NETWORKS

To address deployment schemes over large dispersed geographical area a paradigm shift in the technology was needed. Wireless Mesh Networks (WMN) has emerged as a promising technology to such challenging tasks. As wireless network grows it puts an increased demands in infrastructure based networks.802. 11s based WMN is a concrete step that address this paradox to make infrastructure itself wireless. As there is a high demand of internet usage and revolution in computer technology in university campuses, we have done a survey among the students on usage of WiFi based communications and henceforth modeled and implemented an interworking Campus Mesh Wi-Fi Network and have evaluated the networks performance.
CMML: a New Metric Learning Approach for Cross Modal Matching

This paper proposes a new approach for Cross Modal Matching, i.e. the matching of patterns represented in di erent modalities, when pairs of same/di erent data are available for training (e.g. faces of same/di erent persons). In this situation, standard approaches such as Partial Least Squares (PLS) or Canonical Correlation Analysis (CCA), map the data into a common latent space that maximizes the covariance, using the information brought by positive pairs only. Our contribution is a new metric learning algorithm, which alleviates this limitation by considering both positive and negative constraints and use them effi ciently to learn a discriminative latent space. The contribution is validated on several datasets for which the proposed approach consistently outperforms PLS/CCA as well as more recent discriminative approaches.
The VAB-1 Eph receptor tyrosine kinase and SAX-3/Robo neuronal receptors function together during C. elegans embryonic morphogenesis

Mutations that affect the single C. elegans Eph receptor tyrosine kinase VAB-1 cause defects in cell movements during embryogenesis. Here, we provide genetic and molecular evidence that the VAB-1 Eph receptor functions with another neuronal receptor, SAX-3/Robo, for proper embryogenesis. Our analysis of sax-3 mutants shows that SAX-3/Robo functions with the VAB-1 Eph receptor for gastrulation cleft closure and ventral epidermal enclosure. In addition, SAX-3 functions autonomously for epidermal morphogenesis independently of VAB-1. A double-mutant combination between vab-1 and slt-1 unmasks a role for the SLT-1 ligand in embryogenesis. We provide evidence for a physical interaction between the VAB-1 tyrosine kinase domain and the juxtamembrane and CC1 region of the SAX-3/Robo receptor. Gene dosage, non-allelic non-complementation experiments and co-localization of the two receptors are consistent with a model in which these two receptors form a complex and function together during embryogenesis.
A new parsing algorithm

We propose a new dependency parsing algorithm, designed to allow for any features while maintaining tractability. The main idea is to start with a baseline parse tree rather than with no tree at all, and to transform that tree into the correct one by repeated application of simple transformation operations. We focus on inference, discussing anticipated issues and possible remedies. Suggestions towards the training procedure and the feature set are also briefly presented.
Kinetic Convex Hull Algorithm Using Spiral Kinetic Data Structure

In this paper we present an effective kinetic data structure (KDS) and algorithm for efficient maintenance of convex hull of moving points in 2d space. Given n objects continuously moving in the plane we present an efficient algorithm for maintaining their convex hull. Our algorithm considers cases based on status of a constant number of points. We show that our algorithm's time and space complexity are at most linear. A simulation program developed for testing the algorithm confirms the claim.
Differences in Arithmetic Performance between Chinese and German Children Are Accompanied by Differences in Processing of Symbolic Numerical Magnitude

Symbolic numerical magnitude processing skills are assumed to be fundamental to arithmetic learning. It is, however, still an open question whether better arithmetic skills are reflected in symbolic numerical magnitude processing skills. To address this issue, Chinese and German third graders were compared regarding their performance in arithmetic tasks and in a symbolic numerical magnitude comparison task. Chinese children performed better in the arithmetic tasks and were faster in deciding which one of two Arabic numbers was numerically larger. The group difference in symbolic numerical magnitude processing was fully mediated by the performance in arithmetic tasks. We assume that a higher degree of familiarity with arithmetic in Chinese compared to German children leads to a higher speed of retrieving symbolic numerical magnitude knowledge.
Atrial fibrillation after coronary artery bypass surgery: a model for preoperative risk stratification.

BACKGROUND Atrial fibrillation (AF) occurs in 20% to 40% of patients after CABG. Identification of patients vulnerable for arrhythmia will allow targeting of those most likely to benefit from prophylactic therapy. The aim of the present study was to evaluate accuracy of a prospectively defined signal-averaged P-wave duration (SAPD) cutoff and additional preoperative characteristics for the prediction of AF after CABG. METHODS AND RESULTS Patients undergoing elective isolated CABG were recruited to the present prospective study. SAPD was recorded in all patients. Filtered signals from 3 orthogonal leads were combined in a vector analysis, and total SAPD was measured preoperatively. Postoperative in-hospital AF occurred in 92 (28.2%) of 326 patients. Patients who developed AF were older (65.9 versus 61.7 years of age; P<0.0005) and had longer SAPD (158 versus 145 ms; P<0.0005) than non-AF patients. Incidence of AF increased in patients > or =75 years of age and increased progressively throughout the range of SAPD. Stepwise logistic regression analysis of preoperative variables identified that SAPD >155 ms (odds ratio, 5.37; 95% CI, 3.10 to 9.30; P<0.0005), advanced age (odds ratio, 1. 53; 95% CI, 1.26 to 1.86 per 5-year increase in age; P<0.0005), and male sex (odds ratio, 2.88; 95% CI, 1.30 to 6.40; P<0.01) independently predicted AF. Prospectively defined SAPD >155 ms predicted AF with positive and negative predictive accuracy of 49% and 84%, respectively. CONCLUSIONS A combination of prolonged SAPD, advanced age, and male sex identifies patients at high risk for development of AF after CABG.
Clustering of Gabor Atoms Describing Event-Related Potentials - Solution for ERP Detection Algorithm based on Matching Pursuit when ERP Waveform is Approximated by Two or More Gabor Atoms

In our research group, we also focus on methods for automatic detection of event-related potentials in the EEG signal. We published the algorithm for event-related potential detection based on the matching pursuit algorithm in one of our previous papers. As usual, this method does not work well under special circumstances which can occur (it is a situation when the waveform of event-related potential is approximated by more than one function from the matching pursuit base functions dictionary). This paper introduces solution of this issue which is based on the self-organizing map and the connected-component labeling algorithm (it allows to group the functions related to a one kind of event-related potential to a cluster this should prevent the detection algorithm based on matching pursuit from the fault described
Improving QoS by using Mobility Management Algorithm in Wireless Sensor Network

Wireless sensor networks are expected to be one of the key enabling technologies in the next ten years Protocols for such networks should be highly flexible because dynamic change in the network may leads to performance degradation of the network. However many recent applications make use of mobile sensor nodes , which pose some unique challenges to WSN researchers. Nodes may move individually or in group with respect to some reference mobility model, thus changing network topology. A mobility management Scheme has been proposed in this paper to manage the mobility in WSN and analysis has been done against basic QoS parameters.
Kontribusi Gaya Hidup, Modal Psikologis, dan Talenta Individual Terhadap Keberhasilan Entrepreneur pada HIPMI BPC Kota Medan Jl. Sisingamangaraja No. 92-A Medan 20213

CONTRIBUTION OF LIFE STYLE, PSYCHOLOGICAL CAPITAL, AND INDIVIDUAL TALENT TO ENTREPRENEUR SUCCESS ON HIPMI BPC KOTA MEDAN Jl. Sisingamangaraja No. 92-A Medan 20213 Name : Magda Ayu Lestari L.Tobing NIM : 140907079 Departement : Business Administration Faculty : Social and Politic Science Advisor : Dra. Nurlela Ketaren, M.SP The entrepreneurship model should take into account integrative views, incorporating talent and investment influences and human development approaches through the contribution of individual lifestyles, psychological capital, and individual talents. This research uses assosiative research with quantitative approach, which has a purpose to know how the contribution of lifestyle, psychoogical capital, and individual talents to the success of entrepreneurs. The results of the analysis conducted simultaneous test results explain that lifestyle variables (X1), psychological capital (X2), and individual talent (X3) have a positive and significant effect on the value of t arithmetic (3.859)> t table (1.665) life (X1), psychological capital (X2), and individual talent (X3) affect the success of entrepreneurs. Based on the analysis result, the significance value that the value of sig. (0,00) <0,05 then variable of lifestyle variable (X1), psychological capital (X2), and individual talent (X3) have significant effect to entrepreneur success variable. Thus, hypothesis 4 can be accepted that is the influence of lifestyle variable (X1), psychological capital (X2), and individual talent (X3) simultaneously to the entrepreneur's success intention.
Improved Frame Head mode detection and symbol detection scheme for Chinese TDS-OFDM-based DTTB systems

To face the challenge of the high data throughput requirements for modern communications, extensive researches have been paid to broadband modulation. Multi-carrier modulation is one of the most important broadband modulation techniques. Orthogonal frequency division multiplexing (OFDM) is an effective multi-carrier modulation technique for combating radio channel multipath fading and for high-bit-rate transmission over wireless channels and it is extensively used in modern digital television terrestrial broadcasting (DTTB) systems to support high performance bandwidth-efficient multimedia services. Chinese digital television terrestrial broadcasting standard recommends three kinds of Frame Head mode with PN420/PN595/PN945 as training sequences for the time domain synchronous OFDM (TDS-OFDM) based DTTB systems. At receiver side, Frame Head mode detection and symbol detection should be done. In this paper, an improved Frame Head mode detection and symbol detection scheme is proposed. System performance studies under different channel situations are used to verify the efficiency of the proposed scheme.
Two semi-supervised locality sensitive k-means clustering algorithms by seeding

Semi-supervised clustering takes advantage of a small amount of labeled data to bring a great benefit to the clustering of unlabeled data. Based on a locality sensitive k-means clustering method, this paper presents two novel semi-supervised clustering algorithms inspired by the semi-supervised variants of the k-means clustering by seeding. To investigate the effectiveness of our approaches, experiments are done on one artificial dataset and three real datasets. Experimental results show that two proposed methods can improve the clustering performance significantly compared to other unsupervised and semi-supervised clustering algorithms.
Speech disorders in cerebellar disease

The areas of cerebellar damage most commonly associated with dysarthria were sought by reviewing the clinical, radiographic, surgical, and autopsy findings in patients with nondegenerative cerebellar disease. Case histories on 162 patients with focal cerebellar lesions were reviewed. All but 15 of the patients underwent surgery, and 28 had autopsies. Thirty‐one of the 122 patients with adequate descriptions of speech had dysarthria. Twenty‐two of these 31 dysarthric patients had exclusively or predominantly left cerebellar hemisphere disease; 7 had right hemisphere disease; and 2 had vermal disease. Only 19 of 41 patients with exclusively or predominantly left hemisphere disease had had normal speech before surgery. Dysarthria developed in isolated cases following cerebellar resections extending into the paravermal segments of the left hemisphere. There was no correlation between the extent of vermal damage and development of abnormal speech. Cerebellar speech function was most commonly affected with damage to the superior portion of the left cerebellar hemisphere.
A Fast And Efficient Non-Blocking Coordinated Checkpointing Approach For Distributed Systems

In this paper, we have presented an efficient non-blocking coordinated checkpointing algorithm for distributed systems. The distinct advantages of the proposed algorithm are the following. It produces a consistent set of checkpoints, without the overhead of taking temporary checkpoints; the algorithm also makes sure that only few processes are required to take checkpoints in its any execution; it uses very few control messages, and the participating processes are interrupted fewer number of times when compared to some noted related works. These distinct advantages make the algorithm fast and efficient.
An Early Onset Progressive Motor Neuron Disorder in Scyl1-Deficient Mice Is Associated with Mislocalization of TDP-43

The molecular and cellular bases of motor neuron diseases (MNDs) are still poorly understood. The diseases are mostly sporadic, with ∼10% of cases being familial. In most cases of familial motor neuronopathy, the disease is caused by either gain-of-adverse-effect mutations or partial loss-of-function mutations in ubiquitously expressed genes that serve essential cellular functions. Here we show that deletion of Scyl1, an evolutionarily conserved and ubiquitously expressed gene encoding the COPI-associated protein pseudokinase SCYL1, causes an early onset progressive MND with characteristic features of amyotrophic lateral sclerosis (ALS). Skeletal muscles of Scyl1−/− mice displayed neurogenic atrophy, fiber type switching, and disuse atrophy. Peripheral nerves showed axonal degeneration. Loss of lower motor neurons (LMNs) and large-caliber axons was conspicuous in Scyl1−/− animals. Signs of neuroinflammation were seen throughout the CNS, most notably in the ventral horn of the spinal cord. Neural-specific, but not skeletal muscle-specific, deletion of Scyl1 was sufficient to cause motor dysfunction, indicating that SCYL1 acts in a neural cell-autonomous manner to prevent LMN degeneration and motor functions. Remarkably, deletion of Scyl1 resulted in the mislocalization and accumulation of TDP-43 (TAR DNA-binding protein of 43 kDa) and ubiquilin 2 into cytoplasmic inclusions within LMNs, features characteristic of most familial and sporadic forms of ALS. Together, our results identify SCYL1 as a key regulator of motor neuron survival, and Scyl1−/− mice share pathological features with many human neurodegenerative conditions.
Partitioned Real-time Scheduling on Heterogeneous Shared-Memory Multiprocessors

We consider several real-time scheduling problems on heterogeneous multiprocessor platforms, in which the different processors share a common memory pool. These include (i)~scheduling a collection of implicit-deadline sporadic tasks with the objective of meeting all deadlines, and (ii)~scheduling a collection of independent jobs with the objective of minimizing the make span of the schedule. Both these problems are intractable (NP-hard). For each, we derive polynomial-time algorithms for solving them approximately, and show that these algorithms have bounded deviation from optimal behavior. We also consider the problem of determining how much common memory a platform needs in order to be able to accommodate a specified real-time workload.
Post-silicon timing diagnosis made simple using formal technology

With the increasing demand for microprocessor core operating frequencies, debugging post silicon synchronization (or speed) failures is a critical time consuming post silicon debug activity. Inability to complete the isolation of all possible speed failures on time, forces companies to go to market with products that run at a lower frequency than their upper frequency limits. This might cause revenue losses or lead to loss of market segment shares. Laser-Assisted Device Alternation (LADA) machines are the main vehicle for debugging post silicon speed failures at Intel. Operating such expensive machines consumes a substantial portion of the overall post silicon debug effort. Moreover, with the increasing complexity of manufacturing processes, these machines need to be renewed from one process generation to the next, which increases the product cost. This paper describes a novel method, based on formal technology, which brings a productivity breakthrough in isolating post-silicon speed failures. We demonstrate that in many cases optical probing using LADA can be fully replaced by our approach.
Mutations of puzzles and equivariant cohomology of two-step flag varieties

We introduce a mutation algorithm for puzzles that is a three-direction analogue of the classical jeu de taquin algorithm for semistandard tableaux. We apply this algorithm to prove our conjectured puzzle formula for the equivariant Schubert structure constants of two-step flag varieties. This formula gives an expression for the structure constants that is positive in the sense of Graham. Thanks to the equivariant version of the `quantum equals classical' result, our formula specializes to a Littlewood-Richardson rule for the equivariant quantum cohomology of Grassmannians.
Bioresorbable vascular scaffolds in acute ST-segment elevation myocardial infarction: a prospective multicentre study ‘Prague 19’

Aims Bioresorbable vascular scaffolds (BVSs) have been studied in chronic coronary artery disease, but not in acute ST-segment elevation myocardial infarction (STEMI). This prospective multicentre study analysed the feasibility and safety of BVS implantation during primary percutaneous coronary intervention (p-PCI) in STEMI. Methods and results Bioresorbable vascular scaffold implantation became the default strategy for all consecutive STEMI patients between 15 December 2012 and 30 August 2013. A total of 142 patients underwent p-PCI; 41 of them (28.9%) fulfilled the inclusion/exclusion criteria for BVS implantation. The BVS device success was 98%, thrombolysis in myocardial infarction 3 flow was restored in 95% of patients, and acute scaffold recoil was 9.7%. An optical coherence tomography (OCT) substudy (21 patients) demonstrated excellent procedural results with only a 1.1% rate of scaffold strut malapposition. Edge dissections were present in a 38% of patients, but were small and clinically silent. Reference vessel diameter measured by quantitative coronary angiography was significantly lower than that measured by OCT by 0.29 (±0.56) mm, P = 0.028. Clinical outcomes were compared between BVS group and Control group; the latter was formed by patients who had implanted metallic stent and were in Killip Class I or II. Combined clinical endpoint was defined as death, myocardial infarction, or target vessel revascularization. Event-free survival was the same in both groups; 95% for BVS and 93% for Control group, P = 0.674. Conclusion Bioresorbable vascular scaffold implantation in acute STEMI is feasible and safe. The procedural results evaluated by angiography and OCT are excellent. The early clinical results are encouraging.
QoS routing in communication networks: approximation algorithms based on the primal simplex method of linear programming

Given a directed network with two integer weights, cost and delay, associated with each link, quality-of-service (QoS) routing requires the determination of a minimum cost path from one node to another node such that the delay of the path is bounded by a specified integer value. This problem, also known as the constrained shortest path problem (CSP), admits an integer linear programming (ILP) formulation. Due to the integrality constraints, the problem is NP-hard. So, approximation algorithms have been presented in the literature. Among these, the LARAC algorithm, based on the dual of the LP relaxation of the CSP problem, is very efficient. In contrast to most of the currently available approaches, we study this problem from a primal perspective. Several issues relating to efficient implementations of our approach are discussed. We present two algorithms of pseudopolynomial time complexity. One of these allows degenerate pivots and uses an anticycling strategy and the other, called the NBS algorithm, is based on a novel strategy which avoids degenerate pivots. Experimental results comparing the NBS algorithm, the LARAC algorithm, and general purpose LP solvers are presented. In all cases, the NBS algorithm compares favorably with others and beats them on dense networks.
Optimizing the Marketing Interventions Mix in Intermediate-Term CRM

We provide a fully personalized model for optimizing multiple marketing interventions in intermediate-term customer relationship management (CRM). We derive theoretically based propositions on the moderating effects of past customer behavior and conduct a longitudinal validation test to compare the performance of our model with that of commonly used segmentation models in predicting intermediate-term, customer-specific gross profit change. Our findings show that response to marketing interventions is highly heterogeneous, that heterogeneity of response varies across different marketing interventions, and that the heterogeneity of response to marketing interventions may be partially explained by customer-specific variables related to customer characteristics and the customer's past interactions with the company. One important result from these moderating effects is that relationship-oriented interventions are more effective with loyal customers, while action-oriented interventions are more effective with nonloyal customers. We show that our proposed model outperformed models based on demographics, recency-frequency-monetary value (RFM), or finite mixture segmentation in predicting the effectiveness of intermediate-term CRM. The empirical results project a significant increase in intermediate-term profitability over all of the competing segmentation approaches and a significant increase in intermediate-term profitability over current practice.