Miracle-dz/UniFAR-FTUs huggingface dataset:
Using ontological chain to resolve the translation ambiguity of cross-language information retrieval

In this paper we proposed an ontology-based approach for reducing the ambiguity of bilingual translation. A metric based on the ontological chain for co-occurrence concept evaluation has also been proposed. Based on the ontology chain we can calculate the best translation of all possible translated terms. The experimental results show that the proposed approach can effectively remove the irrelevant results and improve the precision.
Developing a Flexible Sentiment Analysis Technique for Multiple Domains Introduction: Sentiment analysis of blog text, review sites and online forums

Sentiment analysis of blog text, review sites and online forums has been a popular subject for several years in the field of natural language processing. Researchers have shown that several techniques can successfully estimate the opinion polarity of a given text. This project focuses on taking the initial steps towards creating a metric of sentiment for use in enhancing search and retrieval of opinionated content. Three approaches are identified; bag-of-word classification, lexical rule analysis using term expansion, and statistical classification through rule generated features. By comparing and contrasting these methodologies, it is hoped that a robust technique can be developed to quickly estimate a post’s general polarity.
EDASH: Energy-Aware QoE Optimization for Adaptive Video Delivery over LTE Networks

Dynamic adaptive streaming over HTTP (DASH) has emerged as a popular Internet video service, constituting a growing fraction of LTE network traffic today. We identify the root causes of DASH performance problems in bit-ate stability, energy consumption of User Equipment (UE) and efficiency of bandwidth utilization, from both the users' and network operators' perspectives. Unlike the existing researches that separately studied two important performance metrics in DASH, i.e., Quality of Experience (QoE) and UEs' energy consumption. We propose an energy-aware DASH delivery framework over LTE networks (EDASH), jointly optimizing the network throughput, users' QoE and UEs' energy efficiency. We formulate the bandwidth allocation problem as a nonlinear integer program, and design the EDASH Online Allocation algorithm (EOA). EOA assigns bandwidth based on channel conditions and buffer occupancy of UEs to achieve efficient video delivery among multiple users. Furthermore, we present the detailed design and implementation of EDASH using Apache HTTP server and Android smartphones. Both simulation and experiment results reveal that our scheme can improve the network throughput while striking a better balance between users' QoE and UEs' energy consumption.
Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It

Discourse deixis is a linguistic phenomenon in which pronouns have verbal or clausal, rather than nominal, antecedents. Studies have estimated that between 5% and 10% of pronouns in non-conversational data are discourse deictic. However, current coreference resolution systems ignore this phenomenon. This paper presents an automatic system for the detection and resolution of discourse-deictic pronouns. We introduce a two-step approach that first recognizes instances of discourse-deictic pronouns, and then resolves them to their verbal antecedent. Both components rely on linguistically motivated features. We evaluate the components in isolation and in combination with two state-of-the-art coreference resolvers. Results show that our system outperforms several baselines, including the only comparable discourse deixis system, and leads to small but statistically significant improvements over the full coreference resolution systems. An error analysis lays bare the need for a less strict evaluation of this task.
Soil Mapping and Soil Monitoring : State of Progress and Use in France

The Service for the Study of Soils and the Pedological Map of France (French acronym: SESCPF) was founded in 1968. Within the INRA (National Institute of Agronomic Research), it ensures the coordination of most soil mapping and monitoring programmes in France. This is made possible by data received from a number of other public or private organisations that are partners in these programmes: research institutes (CNRS: National Centre for Scientific Research, Universities), professional development organisations (Chambers of Agriculture, National Forest Bureau), land development companies and design offices, etc. Work is carried out at the request and with the support of the Agriculture and Environment Ministries, as well as local governments (Regional Councils).
Abnormal Hypermethylation at Imprinting Control Regions in Patients with S-Adenosylhomocysteine Hydrolase (AHCY) Deficiency

S-adenosylhomocysteine hydrolase (AHCY) deficiency is a rare autosomal recessive disorder in methionine metabolism caused by mutations in the AHCY gene. Main characteristics are psychomotor delay including delayed myelination and myopathy (hypotonia, absent tendon reflexes etc.) from birth, mostly associated with hypermethioninaemia, elevated serum creatine kinase levels and increased genome wide DNA methylation. The prime function of AHCY is to hydrolyse and efficiently remove S-adenosylhomocysteine, the by-product of transmethylation reactions and one of the most potent methyltransferase inhibitors. In this study, we set out to more specifically characterize DNA methylation changes in blood samples from patients with AHCY deficiency. Global DNA methylation was increased in two of three analysed patients. In addition, we analysed the DNA methylation levels at differentially methylated regions (DMRs) of six imprinted genes (MEST, SNRPN, LIT1, H19, GTL2 and PEG3) as well as Alu and LINE1 repetitive elements in seven patients. Three patients showed a hypermethylation in up to five imprinted gene DMRs. Abnormal methylation in Alu and LINE1 repetitive elements was not observed. We conclude that DNA hypermethylation seems to be a frequent but not a constant feature associated with AHCY deficiency that affects different genomic regions to different degrees. Thus AHCY deficiency may represent an ideal model disease for studying the molecular origins and biological consequences of DNA hypermethylation due to impaired cellular methylation status.
CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence

CpG islands (CGIs) play a fundamental role in genome analysis as genomic markers and tumor markers. Identification of potential CGIs has contributed not only to the prediction of promoters of most house-keeping genes and many tissue-specific genes but also to the understanding of the epigenetic causes of cancer. The most current methods for identifying CGIs suffered from various limitations and involved a lot of human intervention for search purpose. In this paper, we implement a HMM-based CGIs identification system, namely CpG-Discover. Experiments have been conducted on the EMBL human DNA database and in comparison with other widely-used tools. The controlled experimental results indicate that our system is a promising tool and has the capability of locating CGIs accurately. In addition, our system has significant differences from other tools in that it avoids the disadvantages of using sliding windows and it reduces the large amount of human intervention needed to search for or to combine potential CGIs (such as, the thresholds of initial density or distance seed). Therefore, given annotated training data set, our system has the adaptability to find other specific nucleotides sequences in DNA.
Medium term outcome of bipolar plasma vaporization in prostate cancer patients – A palliative modality of preserving spontaneous voiding

Objectives:This retrospective analysis evaluated the efficiency, safety, and medium term postoperative results of bipolar plasma vaporization (BPV) in prostate cancer (PCa) cases associating complete urinary retention. Materials and Methods: A series of 40 patients diagnosed with locally advanced or metastatic PCa and complete urinary retention requiring a Foley catheter indwelling underwent BPV aiming to restore spontaneous voiding. A total of 35 patients completed the one year evaluation protocol consisting of International Prostate Symptom Score (IPSS), quality of life score (QoL), maximum flow rate (Qmax) and post-voiding residual urinary volume (PVR), measured at 1, 3, 6 and 12 months after surgery. Results: BPV was successfully performed in all cases with satisfactory efficiency, as confirmed by the mean operation time (42.8 minutes) and hemoglobin drop (0.7 g/dl). A fast and safe postoperative recovery period was described in this series (hematuria rate – 7.5%; mean catheterization period – 36 hours; mean hospital stay – 2.5 days; early-irritative symptoms’ rate – 15%). At 1, 3, 6 and 12 months, satisfactory values were determined in terms of IPSS, Qmax, QoL and PVR. These parameters emphasized a stable evolution throughout the entire follow-up, as 88.6% of the patients maintained spontaneous voiding. Conclusions: The present trial confirmed the plasma-button vaporization as a promising therapeutic approach in PCa cases associating complete urinary retention. The technique displayed good efficacy, low perioperative morbidity, short convalescence, and satisfactory urodynamics and symptom score parameters during the one-year follow-up period. Abbreviations: BPV – bipolar plasma vaporization; PCa – prostate cancer; TURP – transurethral resection of the prostate; BPH – benign prostatic hyperplasia; BOO – bladder outlet obstruction; LUTS – lower urinary tract symptoms; IPSS – International Prostate Symptom Score; QoL – quality of life score; Qmax – maximum flow rate; RV – post-voiding residual urinary volume
Estimating the mean manifold of a deformable object from noisy observations

Assume we have a set of noisy observations (for example, images) of different objects, each undergoing a different geometric deformation, yet all the deformations belong to the same family. As a result of the action of these deformations, the set of different observations on each object is generally a manifold in the ambient space of observations. It has been shown, [1], that in the absence of noise, in those cases where the set of deformations admits a finite-dimensional representation, the universal manifold embedding (UME) provides a mapping from the space of observations to a low dimensional linear space. The manifold corresponding to each object is mapped to a distinct linear subspace of Euclidean space, and the dimension of the subspace is the same as that of the manifold. In the presence of noise, different observations are mapped to different subspaces. In this paper we derive a method for “averaging” the different subspaces, obtained from different observations made on the same object, in order to estimate the mean representation of the object manifold. The mean manifold representation is then employed to minimize the effects of noise in matched manifold detectors and to improve the separability of data sets in the context of object detection and classification.
Friendship and social development in children and adolescents: The impact of electronic technology

It has been noted that friendships are more than just friendly interaction. Most importantly, friends form emotional ties with each other, and by the age of about seven years a child will spend as much social time with friends and peers as they do with adults. However, there has been much debate about the effects that electronic forms of entertainment (television, computer games, slot machines etc.) may have on a child’s or adolescent’s social development. This paper examines the impact of interactive electronic technology in the lives of children and adolescents and will also examine “electronic friendship”. By reviewing the relevant literature, a number of questions will be addressed (e.g. Can children use machines as “electronic friends”? What effect does interactive technology have on friendship and social development? What are the implications of children being able to access the Internet? ).
On the restrictive channel thickness estimation

Channel routing is an important phase of physical design of LSI and VLSI chips. The channel routing method was first proposed by Akihi ro Hashimoto and James Stevens (1). The method was extensively studied by many authors and applied to different technologies. At present there are known many effective heuristic algo- rithms for channel routing. A. LaPaugh (2) proved that the re strictive routing problem is NP-complete. In this paper we prove that for every positive integer k there is a re- strictive channel C for which τ(C) > ϕ(HG)+ L(V G)+ k, where τ(C) is the thickness of the channel, ϕ(HG) is clique number of the horizontal constraints graph HG and L(V G) is the length of the longest directed path in the vertical con straints graph V G.
The Costs of Failure Factories in American Higher Education. Education Outlook. No. 6.

1150 Seventeenth Street, N.W. , Washington, D.C. 20036 202 . 862.5800 www.aei. org Few facts about the American education system are agreed upon, but almost everyone agrees that our nationwide high school graduation rates are abysmally low. According to the National Center for Education Statistics (NCES), among public high school students, the average freshman graduation rate in the 2003–2004 school year was 75 percent. Using slightly different measures, numerous scholars have found graduation rates hovering around 70 percent.1 These data, coupled with low performance on international assessments like the Program for International Student Assessment, confirm that American high schools are, to say the least, not world-class. In contrast, American higher education is held in high regard around the world. In one of the best known international comparisons, the Institute of Higher Education at Shanghai Jiao Tong University reports that in 2007, seventeen of the top twenty universities and more than half of the top one hundred universities in the world were in the United States.2 America also leads the world in its investment in higher education. According to the Organisation for Economic Co-operation and Development (OECD), in 2003, the most recent year for which data are available, the United States spent 2.9 percent of its GDP on postsecondary institutions. This was far higher than the OECD average of 1.4 percent and, indeed, higher than any other country for which data were reported.3 Despite the dominance of American universities in the world “league tables” and our high level of expenditure, all is not well. A first indication is in the number of American adults who have completed some postsecondary education, compared to our international competitors. In the United States, 39 percent of adults between the ages of twenty-five and thirty-nine have attained a postsecondary degree (as defined by the OECD), placing us eighth among OECD The Costs of Failure Factories in American Higher Education By Mark Schneider
A POI-Based RFID Reader Deployment and Associated Interference Effect

This paper presents a simulation based method to predict the amount of frequency interference in a passive type RFID system. To judge occurrence of frequency interference, we use a parameter POI (probability of interference) that depends on several factors such as multiple access method, emission mask, the number of channel, etc. Due to its dependence on several factors, a Monte-carlo based simulation is suitably used. Through the simulation, we draw minimum separation distance between two readers and examine performance degradation due to aggregate interfering readers. Moreover, we present a reader deployment strategy based on the average POI of active readers operating in some area.
Nanoporous Anodic Alumina: A Versatile Platform for Optical Biosensors

Nanoporous anodic alumina (NAA) has become one of the most promising nanomaterials in optical biosensing as a result of its unique physical and chemical properties. Many studies have demonstrated the outstanding capabilities of NAA for developing optical biosensors in combination with different optical techniques. These results reveal that NAA is a promising alternative to other widely explored nanoporous platforms, such as porous silicon. This review is aimed at reporting on the recent advances and current stage of development of NAA-based optical biosensing devices. The different optical detection techniques, principles and concepts are described in detail along with relevant examples of optical biosensing devices using NAA sensing platforms. Furthermore, we summarise the performance of these devices and provide a future perspective on this promising research field.
A Hybrid Tool For The Performance Evaluation Of Numa Architectures

We present a system for describing and solving closed queuing network models of the memory access performance of NUMA architectures. The system consists of a model description language, solver engines based upon both discrete event simulation and derivatives of the Mean Value Analysis (MVA) algorithrn, and a model manager used to translate model descriptions to the forms required by the solvers. A single model description file is used to describe the essential elements that characterize the NUMA system and its workload. During a single simulation or MVA modeling run it is easy to dynamically vary elements of the system model, such as mean device service times, elements of the workload model such as cache miss rates, or both. Use of the extremely fast, but approximating, MVA solvers to interpolate between design points computed by the slower simulator allows the analyst to obtain detailed and accurate results in minimal time.
A lung cancer lesions dectection scheme based on CT image

A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter; Finally, nodule features are extracted and rule-based classifier is used to distinguish true or false positive nodules. Experiment results indicate that this scheme can help radiologist improve the diagnosis efficiency.
Simian virus 40 (SV40) T-antigen mutations in tumorigenic transformation of SV40-immortalized human uroepithelial cells

pSV2Neo, a plasmid that contains the wild-type simian virus 40 (SV40) origin of replication (ori), is widely used in mammalian cell transfection experiments. We observed that pSV2Neo transforms two nontumorigenic SV40-immortalized human uroepithelial cell lines (SV-HUC and CK/SV-HUC2) to G418 resistance (G418r) at a frequency lower than that at which it transforms SV-HUC tumorigenic derivatives (T-SV-HUC). Transient expression studies with the chloramphenicol transferase assay showed that these differences could not be explained by differences in Neo gene expression. However, when we replaced the SV40 ori in pSV2Neo with a replication-defective ori to generate G13.1Neo and G13.1'Neo, the G418r transformation frequency of the SV40-immortalized cell lines was elevated. Because SV40 T antigen stimulates replication at its ori, we tested plasmid replication in these transfected cell lines. The immortalized cell lines that showed low G418r transformation frequencies after transfection with pSV2Neo showed high levels of plasmid replication, while the T-SV-HUC that showed high G418r transformation frequencies failed to replicate pSV2Neo. To determine whether differences in the status of the T-antigen gene contributed to the phenomenon, we characterized the T-antigen gene in these cell lines. The results showed that the T-SV-HUC had sustained mutations in the T-antigen gene that would interfere with the ability of the T antigen to stimulate replication at its ori. Most T-SV-HUC contained a super-T-antigen replication-defective ori that apparently resulted from the partial duplication of SV40 early genes, but one T-SV-HUC had a point mutation in the ori DNA-binding domain of the T-antigen gene. These results correlate with the high G418r transformation frequencies with pSV2Neo in T-SV-HUC compared with SV-HUC and CK/SV-HUC2. Furthermore, these results suggest that alterations in SV40 T antigen may be important in stabilizing human cells immortalized by SV40 genes that contain the wild-type SV40 ori, thus contributing to tumorigenic transformation. This is the first report of a super T antigen occurring in human SV40-transformed cells.
Employee Attendance Management System Using Fingerprint Recognition

: In any organization to identification of any employee is necessary. To identifying or confirming the identity of an individual employee their name and signature is not enough, because any one can misuse other's identity so these type of problem occur in today. To overcome this problem we can use fingerprint recognition by which we can easily recognize any person, because human fingerprints are unique to each person and can be regarded as some sort of signature, certifying the person's identity. In this paper we propose a method for fingerprint matching based on minutiae matching. In addition, this paper describes all the records of employee and introduces verification of fingerprints without any biometric device.
Algorithm for Achieving Consensus Over Conflicting Rumors: Convergence Analysis and Applications

Motivated by the large expansion in the study of social networks, this paper deals with the problem of multiple messages spreading over the same network using gossip algorithms. Given two messages distributed over some nodes of the graph, we first investigate the final distribution of the messages given an initial state. Then, an algorithm is presented to achieve consensus over one of the messages. Finally, a game theoretical application and an analogy with word-of-mouth marketing are outlined.
Design of hardware accelerators for demanding applications.

This paper focuses on mastering the architecture development of hardware accelerators. It presents the results of our analysis of the main issues that have to be addressed when designing accelerators for modern demanding applications, when using as an example the accelerator design for LDPC decoding for the newest demanding communication system standards. Based on the results of our analysis, we formulate the main requirements that have to be satisfied by an adequate accelerator design methodology, and propose a design approach which satisfies these requirements.
A Customized Evolutionary Algorithm for Multiobjective Management of Residential Energy Resources

Dynamic tariffs are expected to become a relevant pricing scheme in the context of smart grids. In this framework, active management of residential loads can play an important role to optimize the usage of end-use energy resources while minimizing energy cost. This paper presents an evolutionary algorithm to optimize the integrated usage of multiple residential energy resources (local generation, shiftable loads, thermostatically controlled loads, and storage systems) considering a large set of management strategies. Customized solution encoding and operators are developed for different groups of loads. The multiobjective model considers as objective functions the minimization of the energy cost and the minimization of end-user's dissatisfaction associated with management strategies. Results have shown that significant savings can be achieved mainly through demand response actions implemented over thermostatically controlled loads. Savings are also dependent on the end-user's preferences and degree of willingness to accept automated control.