Miracle-dz/UniFAR-FTUs huggingface dataset:
A cross-site patch management model and architecture design for large scale heterogeneous environment

Many reports indicated that most damages caused by computer viruses and hackers' attacks are due to management problems. Computing environments implementing well managed patch management processes with quick response mechanisms survive from most of serious attacks, such as My Doom and Sasser Warm attacks in 2004. Medium or large enterprises usually have heterogeneous computing environments. For example, a company may use an Apache server in a Linux-base PC as its Internet Web server, use an IBM AIX running IBM DB2 database system as a database server, and equip all employees with Windows-based PCs running Microsoft Office for their daily work. Also, employees might work at many different locations. In the enterprise patch management (PM) market today, there are very few complete off-the-shelf solutions. A systematic efficient PM process model with complete patch management activity process cycle and patching strategies was proposed. We also propose an automatic five-layer PM system application architecture supporting heterogeneous environment. The model, hopefully, makes enterprise patch process more efficient, and reduces the risks suffer from patch management challenges.
Optimum Power Allocation Algorithm for MIMO Relay Channel

In this paper, the capacity of MIMO relay channel with decode and forward (DF) scheme is investigated, where each node within the system quipped with multiple antennas and located in an environment with distance-dependent path loss. In order to achieve the maximum capacity of the system, the optimal power allocation (OPA) among the nodes and the transmit antennas is analyzed under the assumption that relay node knows all channels instantaneous state information (CSI), and an implement algorithm of the OPA is derived. Numerical results demonstrate that adopting the proposed power allocation algorithm, the capacity of MIMO relay channel with DF relay scheme can be significantly improved.
Human tumour-associated cell adhesion protein MN/CA IX: identification of M75 epitope and of the region mediating cell adhesion

MN/CA IX is a cell surface protein, strongly associated with several types of human carcinomas. It exerts activity of carbonic anhydrase and capacity of binding to cell surface receptors. In the present work, we used affinity purified MN/CA IX protein to demonstrate that the cells adhere to immobilized MN/CA IX and that the monoclonal antibody M75 abrogates cell attachment to MN/CA IX. Using synthetic oligopeptides, we identified M75 epitope and located it in the proteoglycan domain, which contains a sixfold tandem repeat of six amino acids GEEDLP. From phage display library of random heptapeptides we identified and chemically synthesized those which compete for the epitope with M75 and inhibit adhesion of cells to MN/CA IX. These heptapeptides might serve as lead compounds for drug design. © 2000 Cancer Research Campaign
Development and Evaluation of Models for the Relationship between Tree Height and Diameter at Breast Height for Chinese-Fir Plantations in Subtropical China

Tree diameter at breast height (dbh) and height are the most important variables used in forest inventory and management as well as forest carbon-stock estimation. In order to identify the key stand variables that influence the tree height-dbh relationship and to develop and validate a suit of models for predicting tree height, data from 5961 tree samples aged from 6 years to 53 years and collected from 80 Chinese-fir plantation plots were used to fit 39 models, including 33 nonlinear models and 6 linear models, were developed and evaluated into two groups. The results showed that composite models performed better in height estimate than one-independent-variable models. Nonlinear composite Model 34 and linear composite Model 6 were recommended for predicting tree height in Chinese fir plantations with a dbh range between 4 cm and 40 cm when the dbh data for each tree and the quadratic mean dbh of the stand (Dq) and mean height of the stand (Hm) were available. Moreover, Hm could be estimated by using the formula Hm=11.707×ln(Dq)-18.032. Clearly, Dq was the primary stand variable that influenced the height-dbh relationship. The parameters of the models varied according to stand age and site. The inappropriate application of provincial or regional height-dbh models for predicting small tree height at local scale may result in larger uncertainties. The method and the recommended models developed in this study were statistically reliable for applications in growth and yield estimation for even-aged Chinese-fir plantation in Huitong and Changsha. The models could be extended to other regions and to other tree species only after verification in subtropical China.
Optimizing Face Recognition Using PCA

Principle Component Analysis PCA is a classical feature extraction and data representation technique widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has drawback of high computational especially for big size database. This paper conducts a study to optimize the time complexity of PCA (eigenfaces) that does not affects the recognition performance. The authors minimize the participated eigenvectors which consequently decreases the computational time. A comparison is done to compare the differences between the recognition time in the original algorithm and in the enhanced algorithm. The performance of the original and the enhanced proposed algorithm is tested on face94 face database. Experimental results show that the recognition time is reduced by 35% by applying our proposed enhanced algorithm. DET Curves are used to illustrate the experimental results.
Should we discard sparse or incomplete videos?

In this paper, we determine whether incomplete videos that are often discarded carry useful information for action recognition, and if so, how one can represent such mixed collection of video data (complete versus incomplete, and labeled versus unlabeled) in a unified manner. We propose a novel framework to handle incomplete videos in action classification, and make three main contributions: (1) We cast the action classification problem for a mixture of complete and incomplete data as a semi-supervised learning problem of labeled and unlabeled data. (2) We introduce a two-step approach to convert the input mixed data into a uniform compact representation. (3) Exhaustively scrutinizing 280 configurations, we experimentally show on our two created benchmarks that, even the videos are extremely sparse and incomplete, it is still possible to recover useful information from them, and classify unknown actions by a graph based semi-supervised learning framework.
Full-scale Cascade Dynamics Prediction with a Local-First Approach

Information cascades are ubiquitous in various social networking web sites. What mechanisms drive information diffuse in the networks? How does the structure and size of the cascades evolve in time? When and which users will adopt a certain message? Approaching these questions can considerably deepen our understanding about information cascades and facilitate various vital applications, including viral marketing, rumor prevention and even link prediction. Most previous works focus only on the final cascade size prediction. Meanwhile, they are always cascade graph dependent methods, which make them towards large cascades prediction and lead to the criticism that cascades may only be predictable after they have already grown large. In this paper, we study a fundamental problem: full-scale cascade dynamics prediction. That is, how to predict when and which users are activated at any time point of a cascading process. Here we propose a unified framework, FScaleCP, to solve the problem. Given history cascades, we first model the local spreading behaviors as a classification problem. Through data-driven learning, we recognize the common patterns by measuring the driving mechanisms of cascade dynamics. After that we present an intuitive asynchronous propagation method for full-scale cascade dynamics prediction by effectively aggregating the local spreading behaviors. Extensive experiments on social network data set suggest that the proposed method performs noticeably better than other state-of-the-art baselines.
Continued sciatic blockade for phantom limb pain

Phantom Limb Pain (PLP) is an excruciating type of pain that gives a sensation of the continued presence of an amputated limb. Physicians have used many methods and drugs to treat PLP. We present a case of continued sciatic nerve block performed for PLP that developed after a traumatic amputation. We conclude that infusing a local anesthetic via a perineural sciatic catheter effectively treated PLP and stump pain after traumatic leg amputation.
Mild Non-lesional Temporal Lobe Epilepsy: A Common, Unrecognized Disorder with Onset in Adulthood

ABSTRACT: Objective: To compare mild vs. severe non-lesional temporal lobe epilepsy (TLE). Methods: Data from 104 consecutive patients with non-lesional TLE were reviewed. Seventy-three of the 104 fulfilled the criteria for inclusion in this study of a follow-up period longer than three years at our Institute. Patients were considered to have a mild TLE if they were seizure free for at least three years after appropriate antiepileptic medication, or had rare (≤ 2/year) complex partial or secondarily generalized seizures for at least three years with or without appropriate antiepileptic therapy. Clinical, EEG and MRI data of mild vs. severe non-lesional TLE patients were compared on the basis of a cross-sectional study design. Results: Of the 73 patients with non-lesional TLE included in the study, 43 (59%) had mild TLE, and 30 (41%) had severe TLE. Duration of epilepsy was significantly shorter (mean 15.2 ± 10.5 years vs. 26.4 ± 13.2 years) and age at onset was significantly higher (mean 34.3 ± 15.3 years vs. 7.8 ± 6.8 years) in mild than in severe TLE group. Patients with mild TLE had also a significantly higher prevalence of positive family history of epilepsy (37.2% vs. 10%), and a significantly lower occurrence rate of febrile convulsions (FC) (4.7% vs. 33.3%), mesial temporal sclerosis (MTS) (6.9% vs. 36.7%), and intelligence deficiency (0% vs. 20%). In mild TLE there was also a significantly high rate (58.1% vs. 0%) of delayed diagnosis (from 1 to 28 years), because of misdiagnosis (39.5%) or no medical counseling (18.6%). Conclusions: Mild non-lesional TLE is a common, unrecognized disorder mainly characterized by both onset in adulthood and high prevalence of familial history of epilepsy. The present findings suggest that mild non-lesional TLE may represent a clinical entity different from severe non-lesional TLE.
Using SentiWordNet and Sentiment Analysis for Detecting Radical Content on Web Forums

The internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper presents a model that was built using SentiWordNet, WordNet and NLTK to analyze selected web forums that included radical content. The approaches of the model measure and identify sentiment polarity and affect the intensity of that which appears in the web forum.
Developing collaborative system for open source software development community

The OSS community plays a very important role in contributing to and sharing of the knowledge that can ensure the sustainability of OSS. At this crucial juncture, this paper discusses the software development that was aimed to strengthen the OSS community through a series of collaborative tools, namely forum, chat and email. The development of the system used the prototype approach and a follow-up survey on system usability was conducted involving OSS developers, which are based in Selangor, Perak, Putrajaya, and Kuala Lumpur. Findings from the survey showed that an overwhelming majority of the respondents agreed that the design aspects of the user interface and the functionality of the system had been addressed appropriately. These important findings reinforces that the current design of such a system could be developed into a full fledge collaborative system that would help the sharing of knowledge among the Community-of-Practice to embark into software development activities.
Secure Data Aggregation Using Reliable Nodes for Wireless Sensor Networks

Generally, aggregation techniques in Wireless Sensor Networks (WSNs) are defenseless against various attacks. The aggregator and aggregated data has to be secured to assure integrity and confidentiality. In this study, we propose a secure data aggregation technique with reliable nodes using key predicate test protocol for sensor network. This technique specialize some nodes as Reliable nodes (R-nodes) to monitor the process of aggregation. Initially, for each node, a secret key is shared between base station and neighboring nodes. Then, an aggregation tree is constructed for transmitting data to the base station in a hierarchical fashion. The aggregator encrypts the data using secret key and forwards to a level up aggregator in aggregation tree. By enhancing broadcasting feature of R- nodes, the aggregated value is verified for ensuring integrity. As keys are shared between neighboring nodes, the nodes are validated using self-key predicate test. The proposed technique is proved through simulation results. It increases the throughput by reducing the packet drops significantly.
Theme B: Technical Change and Corporate Dynamics DYNAMIC ROUTINES AND CAPABILITIES: HOW DOES CREATIVITY FIT IN?

In the knowledge-based theory of the firm, the ability to create new knowledge is seen as the most important source of a firm’s sustainable competitive advantage. Knowledge creation is explained through concepts of dynamic routines and dynamic capabilities. In the evolutionary framework dynamic routines correspond to search routines and in the dynamic capability literature dynamic capabilities are relatively simple rules that organizations follow. These different approaches identify accumulated knowledge as the main explanation factor for innovation. The discussion about the characteristics of creativity questions these different assumptions and suggests that creativity and its related routines need to be considered in order to understand and favor the knowledge creation and innovation process.
La courbe de Phillips au Canada : un examen de quelques hypothèses

This study, which draws on a variety of research on price dynamics in Canada, examines some hypotheses that might explain the poor quality of recent inflation forecasts based on the conventional Phillips curve. Among the various explanations we consider for the persistent underestimation of inflation, the one that emerges most clearly from our findings is that the process by which inflation expectations are formed has changed in recent years. Shifts in expectations appear to have been influenced by monetary policy developments. To take account of this factor, we estimate a Phillips curve that incorporates four autoregressive regimes based on the results of a Markov-switching model. We find that when regimes are introduced, the Phillips curve produces accurate forecasts for inflation since 1991.
The effect of Non- ionizing electromagnetic field with a frequency of 50 Hz in Rat ovary: A transmission electron microscopy study

Background: Recently, there are increasing concerns and interests about the potential effects of Electromagnetic Field (EMF) on both human and animal health. Objective: The goal of this study was to evaluate the harmful effects of 50 Hz non-ionizing EMF on rat oocytes. Materials and Methods: In this experimental study 30 rats were randomly taken from laboratory animals and their ags and weights were determined. These 3 month's old rats were randomly divided into 3 groups. The control group consisted of 10 rats without receiving any treatment and kept under normal conditions. Experimental group 1 (10 rats) received EMF for 8 weeks (3 weeks intrauterine +5 weeks after births) and experimental group 2 (10 rats) received EMF for 13 weeks (3 weeks intrauterine +10 weeks after birth). After removing the ovaries and isolating follicles, granulosa cells were fixed in glutaraldehyde and osmium tetroxide. Electron microscopy was used to investigate the traumatic effects of EMF on follicles. Results: In control group nucleus membrane and mitochondria in follicle’s cytoplasm seemed normal in appearance. Theca layer of primary follicles in experimental group was separated clearly, zona layer demonstrated trot with irregular thickness and ovarian stroma seemed isolated with dilated vessels showing infiltration. Conclusion: According to the results of this study, it can be concluded that EMF has harmful effects on the ovarian follicles.
An efficient LISP-execution architecture with a new representation for list structures

This paper describes a new way of representing LISP lists in a LISP-oriented architecture. List structures are regarded as trees occurring in a logical space. Information-containing nodes of the logical trees are then mapped into a compact tabulax representation in physical memory. This tabular representation is coupled with an architecture that includes a small associative table cache and performs primitive LISP operations directly on the tabular list structure representation. This architecture permits rapid access to list items and streaming of sequences of desired elements. Performance can be enhanced fur ther for certain recursive LISP algorithms that can be transformed into faster iterative versions or into simple table lookup operations. This system has the potential to achieve far more efficient execution of LISP programs.
Earlier re-evaluation may be possible in pediatric patients with eutopic congenital hypothyroidism requiring lower L-thyroxine doses

Purpose The incidence of congenital hypothyroidism (CH) has increased in several countries. Lower cut-off in screening programs have led to an increase in the proportion of transient hypothyroidism (TH) cases diagnosed, leading to debate on the associated clinical and economic impact. This study aimed to identify factors that would allow discrimination between TH and permanent CH (PH) in patients with a eutopic thyroid gland. Methods Sixty-six patients with CH from 3 different hospitals were studied: 26 cases of TH, and 40 cases of PH. Laboratory findings and clinical parameters were analysed in 56 patients with eutopic thyroid gland. Results Initial serum thyroid stimulating hormone levels and L-thyroxine dose at 12 and 24 months of age were significantly higher in PH than TH patients with a eutopic thyroid gland. The area under the curve for the 12-month and 24-month dose for the prediction of TH in eutopic CH was 0.799 (95% confidence interval [CI], 0.678-0.919; P<0.001) and 0.925 (95% CI, 0.837-1.000; P<0.001), respectively. The optimum 12-month and 24-month dose in predicting TH is 3.25 µg/kg (12-month: sensitivity, 87.1%; specificity, 68.0%; 24-month: sensitivity 93.5%, specificity 88%). Conclusion Infants with CH requiring lower L-thyroxine doses (<3.25 µg/kg) are likely to have TH, and thus might be re-evaluated at 12 months or 24 months rather than 3 years of age.
Speech enhancement using minimum mean square error filter and spectral subtraction filter

Speech, is very important for us to communicate. In speech communication, the speech signal is always accompanied by some noise. Hence speech enhancement technique is used for the removal of unwanted background noise. The objective of speech enhancement is to improve the perceptual aspects of speech such as overall quality, intelligibility, or degree of listener's fatigue. The goal of this work is to enhance the quality of speech signals using combination of filters to improve the intelligibility of the signal. In this work, a combination of spectral subtraction filter and minimum mean square error filter is used for enhancing the noisy speech signal. The performance of the proposed filter combination is evaluated using Noizeus database. The signal-to-noise ratio and log-likelihood ratio metrics of the proposed filter shows the increase in performance.
No Evidence for “Break-Induced Replication” in a Higher Plant – But Break-Induced Conversion May Occur

“Break-induced replication” (BIR) is considered as one way to repair DNA double-strand breaks (DSBs). BIR is defined as replication of the proximal break-ends up to the end of the broken chromosome using an undamaged (homologous) double-stranded template and mimicking a non-reciprocal translocation. This phenomenon was detected by genetic experiments in yeast. BIR is assumed to occur also in mammals, but experimental evidence is not yet at hand. We have studied chromosomes of the field bean, Vicia faba L. , with respect to the occurrence of BIR after DSB induction during S and G2 phase. Simultaneous incorporation of the base analog ethynyldeoxyuridine (EdU) revealed no chromosomal replication pattern indicative of BIR. Thus, if occurring at all, BIR does not play a major role in DSB repair in higher plants with large chromosome arms. However, the frequency of interstitial asymmetric EdU incorporation within heterochromatic regions, visible on metaphase chromosomes, increased after chromosome breakage during S and G2 phase. Such asymmetric labeling could be interpreted as conservative replication up to the next replicon, circumventing a DSB, and yielding an interstitial conversion-like event.
Critical Path Method in a Project Network using Ant Colony Optimization

Critical Path Method (CPM) is useful for planning, analyzing, controlling the progress and the completion of large and complex projects. The ant colony optimization (ACO) algorithms are applied to solve many complex combinatorial optimization problems, such as the traveling salesman problem, the vehicle routing problem, the problem of graph coloring, the quadratic assignment problem, the problem of network traffic optimization, the job-shop scheduling problem, etc. In this paper, we present a study of enhanced ant colony optimization algorithm for tackling project management problem using critical path method. In particular, we propose an empirical estimation approach to evaluate the time duration of the network constructed by the ants. The proposed method is investigated for a selected project network. The results demonstrate that compared to conventional methods, the method proposed in this paper is more effective in determining the critical path and subcritical paths.
A Study of Local Binary Pattern Method for Facial Expression Detection

Face detection is a basic task for expression recognition. The reliability of face detection & face recognition approach has a major role on the performance and usability of the entire system. There are several ways to undergo face detection & recognition. We can use Image Processing Operations, various classifiers, filters or virtual machines for the former. Various strategies are being available for Facial Expression Detection. The field of facial expression detection can have various applications along with its importance & can be interacted between human being & computer. Many few options are available to identify a face in an image in accurate & efficient manner. Local Binary Pattern (LBP) based texture algorithms have gained popularity in these years. LBP is an effective approach to have facial expression recognition & is a feature-based approach.