Miracle-dz/UniFAR-FTUs huggingface dataset:
An analysis of the eavesdropping threshold of quantum cryptography protocol

This paper establishes a channel model by analyzing various factors which affect the quantum state in the process of practical quantum communication, and derives, through calculation and simulation, a new formula for a safety threshold of eavesdropping discrimination by the BB84 Protocol. This formula can be used to estimate the safety communication threshold of the BB84 Protocol in non-ideal channels. The method for estimating the practical safety thresholds can decide more accurately whether or not eavesdropping exists in the process of quantum cipher key distribution, thus raising the safety and efficiency of communication process.
A version model for supporting adaptation of web pages

Maintenance of large Web sites is a complex task, similar in some sense to software maintenance. Content should be separated from the formatting rules, allowing independent development and maintenance of both parts. As in software maintenance, version management is important in order to separate stable versions from versions under development. Further a version model that allows alternative versions may be used to support adaptation and personalization of Web content and formatting. To fulfill this request, this paper presents a Web server infrastructure to accomplish version control and to support adaptation of Web pages in a way that is transparent to the user. A version model that separates page content and formatting in distinct components is provided. A configuration is also proposed and it is responsible for generating dynamic pages.
Temperature-aware circuit design using adaptive body biasing

Due to continuously increasing active power dissipation die temperatures exhibit significant spatial and temporal variability. Targeting the worst-case temperature is not optimal as performance will be lost for non-worst cases. This paper proposes a temperature-adaptive body bias technique that can dynamically recover this lost performance. Two applications are described that demonstrate the effectiveness of proposed technique.
Finite element modeling in surgery simulation

Modeling the deformation of human organs for surgery simulation systems has turned out to be quite a challenge. Not only is very little known about the physical properties of general human tissue but in addition, most conventional modeling techniques are not applicable because of the timing requirements of simulation systems. To produce a video-like visualization of a deforming organ, the deformation must be determined at rates of 10-20 times/s. In the fields of elasticity and related modeling paradigms, the main interest has been the development of accurate mathematical models. The speed of these models has been a secondary interest. But for surgery simulation systems, the priorities are reversed. The main interest is the speed and robustness of the models, and accuracy is of less concern. Recent years have seen the development of different practical modeling techniques that take into account the reversed priorities and can be used in practice for real-time modeling of deformable organs. The paper discusses some of these new techniques in the reference frame of finite element models. In particular, it builds on the recent work by the author on fast finite element models and discusses the advantages and disadvantages of these models in comparison to previous models.
Prevention of Inflammation-Associated Preterm Birth by Knockdown of the Endothelin-1-Matrix Metalloproteinase-1 Pathway

Premature delivery occurs in 12% of all births, accounts for nearly half of neonatal morbidity and is increasing in frequency. Current therapeutic approaches to preterm delivery are ineffective and present serious risks to both the mother and fetus. Although there are multiple factors that contribute to the etiology of preterm birth, the single most common cause is infection. Recently, using cDNA microarray analysis of human placental tissue, we demonstrated that human placental matrix metalloproteinase-1 (MMP-1) is upregulated during labor. In a separate line of investigation, we have shown that blockade of endothelin-1 (ET-1) action through the use of an endothelin-converting enzyme-1 (ECE-1) inhibitor, an established commercially available endothelin receptor antagonist or a novel quinolone-derived endothelin receptor antagonist synthesized by our group also prevents preterm labor and delivery in a mouse model. We have now shown that induction of preterm labor with lipopolysaccharide in our mouse model is associated with increased levels of MMP-1. Furthermore, we showed that silencing the ECE-1/ET-1 pathway by using ECE-1 RNA interference prevents both the onset of preterm labor and upregulation of MMP-1. The data indicate that ET-1 and MMP-1 act in the same molecular pathway in preterm labor.
A New Fault Diagnosis Model Based on AIR Scheme

A new model for fault diagnosis of mechanical facilities is proposed in this paper. The model synthesizes the structure of the neural network and the scheme of the artificial immune regulation (AIR). The training samples are clustered first by the immune algorithm based on AIR scheme. The centers of the clustering (memory B-cells) are saved as the nodes of the hidden layer in the model, therefore, the amount and positions of nodes in the hidden layer can be determined automatically. The weight matrix is determined by least squares (LS) algorithm. Finally the numerical experiments in fault diagnosis of a tapered roller bearing are performed. The results show that the method is simple and effective through comparing with NN
Application of Module Structure of Algebra in Coding Theory in Different Branches of Engineering

In this paper we see how the module structure of Algebra plays a vital role in coding theory in different branches of Engineering mainly in Information Technology, Electronics and Telecommunications Engineering, Computer Science etc. The basic result was given by S. K. Sarkar [1] for group code. Here I generalize this concept for module theory in algebra and I introduce the concept module code. I give some results on module code and also give conclusion that why the module code is useful in coding theory.
Clinical Acquired Resistance to RAF Inhibitor Combinations in BRAF-Mutant Colorectal Cancer through MAPK Pathway Alterations.

UNLABELLED BRAF mutations occur in approximately 10% of colorectal cancers. Although RAF inhibitor monotherapy is highly effective in BRAF-mutant melanoma, response rates in BRAF-mutant colorectal cancer are poor. Recent clinical trials of combined RAF/EGFR or RAF/MEK inhibition have produced improved efficacy, but patients ultimately develop resistance. To identify molecular alterations driving clinical acquired resistance, we performed whole-exome sequencing on paired pretreatment and postprogression tumor biopsies from patients with BRAF-mutant colorectal cancer treated with RAF inhibitor combinations. We identified alterations in MAPK pathway genes in resistant tumors not present in matched pretreatment tumors, including KRAS amplification, BRAF amplification, and a MEK1 mutation. These alterations conferred resistance to RAF/EGFR or RAF/MEK combinations through sustained MAPK pathway activity, but an ERK inhibitor could suppress MAPK activity and overcome resistance. Identification of MAPK pathway reactivating alterations upon clinical acquired resistance underscores the MAPK pathway as a critical target in BRAF-mutant colorectal cancer and suggests therapeutic options to overcome resistance. SIGNIFICANCE RAF inhibitor combinations represent promising approaches in clinical development for BRAF-mutant colorectal cancer. Initial characterization of clinical acquired resistance mechanisms to these regimens identified several MAPK pathway alterations driving resistance by reactivating MAPK signaling, highlighting the critical dependence of BRAF-mutant colorectal cancers on MAPK signaling and offering potential strategies to overcome resistance.
Towards Host-based Detection and Collaborative Network Containment of Fast Spreading Active Worms

The complex propagation techniques of malicious worms and the severity of worm-based attacks have made the study of defenses against worm propagation very crucial. Fast spreading malicious worms in particular have been known to cause significant havoc on networks they attack. In this paper, we propose and analyze the Endpoint Detection And Network Containment (EDANC) approach for defending against fast spreading worms. The EDANC detection and correlation engine is based on the Generalized Evidence Processing (GEP) theory, a decision level multi-sensor data fusion technique. With GEP theory, evidence collected by distributed detectors determine the probability associated with a decision under a hypothesis. Several pieces of evidence from the detectors are combined to arrive at an optimal fused decision by minimizing a decision risk function. The EDANC scheme also employs an automated collaborative network-centric containment approach for worm defense. Random scanning worm behavior is considered in analyzing worm detection interval associated with using the EDANC technique. Further, we present the Analytical Active Worm Containment (AAWC) model, a non-deterministic discrete-time model used to model vulnerable host population protected as a result of the EDANC collaborative defense mechanism in a large scale network. Analysing the AAWC model alongside a known discrete-time worm propagation model, we demonstrate quantitatively the effectiveness of the EDANC technique in defending against large scale fast spreading scanning worm attacks.
The principal as technology leader

Leaders - EdTech ii. Abstract. Gottwig, Bruce, Ed.D. , Spring 2013. Educational Leadership. The Impact of High School Principals Technology Leadership on The Sustainability of. Relationship between Principals Technological Leadership and. Abstract. This paper describes how the principals leadership impeded the process of technology-integration in an elementary school through the viewpoints of An Assessment of Principals Technology Leadership: A Statewide. 2008. The principal as technology leader: the skills e-learners consider essential to the creation of a technology-rich school community. Tammy Sue Seneca. The Principal as Technology Leader - Corwin 15 Aug 2014. This study focuses on principals technology leadership behavior. The Principal Technology Leadership Survey Assessment PTL was used The Principal as Technology Leader av Theodore B. Creighton 21 Oct 2013. NETS-A do principals possess as campus technology leaders. “The principals disposition influences the implementation of an innovation and 9780761945420: The Principal as Technology Leader - AbeBooks. An Assessment of Principals Technology Leadership: A Statewide Survey. A dissertation submitted in partial fulfillment of the requirements for the degree of The Technology Principal - SAGE Journals The Principal as Technology Leader. An excellent resource for principals—especially new principals. It will definitely help them establish their vision for technology in their schools. Creighton does a wonderful job exploring the complexities of technology in schools. 7 Habits of Highly Effective Tech-leading Principals -- THE Journal How can a principal become a technology leader? Many principals have difficulty finding enough time to become the instructional leader of their school, much. The principals role as TECHNOLOGY LEADER - SEEN Magazine information and communications technology ICT leadership by considering. as principal of an ICT project school in Saskatchewan in the early 1990s. Technology Leadership among School Principals: A Technology. 27 Nov 2011. “To be a principal in the 21st century school demands leadership of technology. To be a leader of technology requires a willingness to learn, The Relationship between Principals Technology Leadership and. The Principal as Technology Leader has 7 ratings and 1 review. Christina said: This book offers some interesting ideas on how technology may transform ed The Principal as Tech Leader - Learning & Technology Library. 29 Mar 2007. Technology leaders at all levels must understand all of the principal being receptive and competent in the area of technology before its The role of the school principal in technology
Regulation of HIV-Gag Expression and Targeting to the Endolysosomal/Secretory Pathway by the Luminal Domain of Lysosomal-Associated Membrane Protein (LAMP-1) Enhance Gag-Specific Immune Response

We have previously demonstrated that a DNA vaccine encoding HIV-p55gag in association with the lysosomal associated membrane protein-1 (LAMP-1) elicited a greater Gag-specific immune response, in comparison to a DNA encoding the native gag. In vitro studies have also demonstrated that LAMP/Gag was highly expressed and was present in MHCII containing compartments in transfected cells. In this study, the mechanisms involved in these processes and the relative contributions of the increased expression and altered traffic for the enhanced immune response were addressed. Cells transfected with plasmid DNA constructs containing p55gag attached to truncated sequences of LAMP-1 showed that the increased expression of gag mRNA required p55gag in frame with at least 741 bp of the LAMP-1 luminal domain. LAMP luminal domain also showed to be essential for Gag traffic through lysosomes and, in this case, the whole sequence was required. Further analysis of the trafficking pathway of the intact LAMP/Gag chimera demonstrated that it was secreted, at least in part, associated with exosome-like vesicles. Immunization of mice with LAMP/gag chimeric plasmids demonstrated that high expression level alone can induce a substantial transient antibody response, but targeting of the antigen to the endolysosomal/secretory pathways was required for establishment of cellular and memory response. The intact LAMP/gag construct induced polyfunctional CD4+ T cell response, which presence at the time of immunization was required for CD8+ T cell priming. LAMP-mediated targeting to endolysosomal/secretory pathway is an important new mechanistic element in LAMP-mediated enhanced immunity with applications to the development of novel anti-HIV vaccines and to general vaccinology field.
Arabic Discourse Segmentation Based on Rhetorical Methods

The discourse segmentation problem in Arabic language has not been fully addressed. A technique to segment Arabic discourse into complete sentences is presented. The technique is derived from Arabic Rhetorical system by exploiting the main crucial connector "و", as defined by Arabic linguists almost one thousand years ago. This approach categorizes the six known rhetorical types of "و" into two classes: segment and unsegment, known as, "Fasl" and "Wasl". Segmentation places are decided according to the type of connector "و". A set of twenty two syntactic and semantic features devised from "Fasl and Wasl" rhetorical methods, are chosen to categorize each type of "و". The system undergoes the learning and testing stages, using SVM machine learning technique to identify the types of the connector "و". An Arabic discourse corpus is particularly developed for this experiment. We achieved results with an accuracy of 97.95% of discourse
Las viñetas de prensa como expresión del periodismo de opinión

After reviewing the most common terms used when referring to the press cartoons in Spain, Portugal and the Latin America, the use of the term "vineta" is proposed and a definition is suggested as a necessary step for further comments. The role of the cartoons in the critical analysis of reality is then discussed, both in the everyday journalistic activity and in determined historical periods such as the Spanish political transition. The place of the cartoons among the journalistic genres -and specifically among opinion genres- is then analysed. After reviewing their possibilities as editorial articles, we defend their equivalency to opinion columns. We base our arguments both in our own experience in this field and in the comments of cartoonists, scholars and journalists, already published elsewhere or collected for this article.
Comparison of Event-Triggered and Time-Triggered Concepts with Regard to Distributed Control Systems

This paper compares event-triggered and time-triggered concepts from the control theory point of view. For that purpose, the requirements of distributed control systems are summarized and advantages and disadvantages of both concepts are elaborated by hand of dierent criteria. These are, for instance, the ability to react to asynchronous events, the system design and scheduling, the synchronization problem, and the compensation of latency and jitter in the control loop. The results are highlighted with the aid of theoretical examinations and real measurements based on the event-triggered CAN and its time-triggered version TTCAN.
Workload characterization: a survey

The performance of a system is determined by its characteristics as well as by the composition of the load being processed. Hence, its quantitative description is a fundamental part of all performance evaluation studies. Several methodologies for the construction of workload models, which are functions of the objective of the study, of the architecture of the system to be analyzed, and of the techniques adopted, are presented. A survey of a few applications of these methodologies to various types of systems (i.e., batch, interactive, database, network-based, parallel, supercomputer), is given. >
The Canis Major dwarf galaxy as the progenitor of the Monoceros tidal stream

The Sloan Digital Sky Survey has recently discovered a coherent ring of stars at low galactic latitude that is believed to be the tidal stream of a merging dwarf galaxy in the Galactic plane (named the Monoceros tidal stream). The existence and location of the core of its progenitor galaxy is still controversial. The best candidate is the Canis Major dwarf galaxy, a distinct overdensity of red stars discovered in the 2MASS survey, but also interpreted as the signature of the Galactic warp viewed in projection. In this paper, we report a variety of new observational evidence that supports the notion that CMa is the remnant of a partially disrupted core of a dwarf satellite. The comparison of the orbit derived from our theoretical model for the parent galaxy of this ring-like structure with an accurate determination of CMa orbit leads to the conclusion that this satellite is the best candidate for the progenitor of the Monoceros tidal stream
Determinants of VIA (Visual Inspection of the Cervix After Acetic Acid Application) Positivity in Cervical Cancer Screening of Women in a Peri-Urban Area in Andhra Pradesh, India

Objectives: Visual inspection of the cervix after acetic acid application (VIA) is widely recommended as the method of choice in cervical cancer screening programs in resource-limited settings because of its simplicity and ability to link with immediate treatment. In testing the effectiveness of VIA, human papillomavirus DNA testing, and Pap cytology in a population-based study in a peri-urban area in Andhra Pradesh, India, we found the sensitivity of VIA for detection of cervical intraepithelial neoplasia grade 2 and worse (CIN2+) to be 26.3%, much lower than the 60% to 90% reported in the literature. We therefore investigated the determinants of VIA positivity in our study population. Methods: We evaluated VIA positivity by demographics and reproductive history, results of clinical examination, and results from the other screening methods. Results: Of the 19 women diagnosed with CIN2+, only 5 were positive by VIA (positive predictive value, 3.1%). In multivariate analysis, VIA positivity (12.74%) was associated with older age, positive Pap smear, visually apparent cervical inflammation, and interobserver variation. Cervical inflammation of unknown cause was present in 21.62% of women. In disease-negative women, cervical inflammation was associated with an increase in VIA positivity from 6.1% to 15.5% (P < 0.001). Among the six gynecologists who performed VIA, the positivity rate varied from 4% to 31%. Conclusions: The interpretation of VIA is subjective and its performance cannot be readily evaluated against objective standards. Impact: VIA is not a robust screening test and we caution against its use as the primary screening test in resource-limited regions. Cancer Epidemiol Biomarkers Prev; 19(5); 1373–80. ©2010 AACR.
Schisandrae Fructus Supplementation Ameliorates Sciatic Neurectomy-Induced Muscle Atrophy in Mice

The objective of this study was to assess the possible beneficial skeletal muscle preserving effects of ethanol extract of Schisandrae Fructus (EESF) on sciatic neurectomy- (NTX-) induced hindlimb muscle atrophy in mice. Here, calf muscle atrophy was induced by unilateral right sciatic NTX. In order to investigate whether administration of EESF prevents or improves sciatic NTX-induced muscle atrophy, EESF was administered orally. Our results indicated that EESF dose-dependently diminished the decreases in markers of muscle mass and activity levels, and the increases in markers of muscle damage and fibrosis, inflammatory cell infiltration, cytokines, and apoptotic events in the gastrocnemius muscle bundles are induced by NTX. Additionally, destruction of gastrocnemius antioxidant defense systems after NTX was dose-dependently protected by treatment with EESF. EESF also upregulated muscle-specific mRNAs involved in muscle protein synthesis but downregulated those involved in protein degradation. The overall effects of 500 mg/kg EESF were similar to those of 50 mg/kg oxymetholone, but it showed more favorable antioxidant effects. The present results suggested that EESF exerts a favorable ameliorating effect on muscle atrophy induced by NTX, through anti-inflammatory and antioxidant effects related to muscle fiber protective effects and via an increase in protein synthesis and a decrease in protein degradation.
Kernel weighted FCM based MR image segmentation for brain tumor detection

The paper presents MRI brain diagnosis support system for structure segmentation and its analysis using kernel weighted segmentation. The Proposed method has been used to segment normal tissues and abnormal tissue like tumor part of MR image automatically. MR images are often corrupted by Intensity in homogeneity and artifacts. This may affect the performance of image processing techniques used for brain image analysis. Due to this type of artifacts and noises unknowingly some normal tissue in MRI may be misclassified as other type of normal tissue and it leads to error during diagnosis process. The proposed system remove noise from the given images using a method called spectral subtraction de noising (SSD) and Kernel Weighted Fuzzy C Means (KWFCM) has been used for segmentation. This method incorporates spatial information and the membership weighting of every cluster has been altered after the cluster distribution in the neighborhood is considered. The paper results will be presented as segmented tissues with various parameter evaluations to show algorithm efficiency.