Miracle-dz/UniFAR-FTUs huggingface dataset:
Mucin-Type O-Glycosylation in Invertebrates

O-Glycosylation is one of the most important posttranslational modifications of proteins. It takes part in protein conformation, protein sorting, developmental processes and the modulation of enzymatic activities. In vertebrates, the basics of the biosynthetic pathway of O-glycans are already well understood. However, the regulation of the processes and the molecular aspects of defects, especially in correlation with cancer or developmental abnormalities, are still under investigation. The knowledge of the correlating invertebrate systems and evolutionary aspects of these highly conserved biosynthetic events may help improve the understanding of the regulatory factors of this pathway. Invertebrates display a broad spectrum of glycosylation varieties, providing an enormous potential for glycan modifications which may be used for the design of new pharmaceutically active substances. Here, overviews of the present knowledge of invertebrate mucin-type O-glycan structures and the currently identified enzymes responsible for the biosynthesis of these oligosaccharides are presented, and the few data dealing with functional aspects of O-glycans are summarised.
Providing quality of service monitoring: challenges and approaches

Future integrated services networks will need to provide quality of service (QoS) guarantees to multimedia applications. To ensure that the contracted QoS is sustained, it is not sufficient to just commit resources. QoS monitoring is required to detect and locate the degradation of QoS performance. In addition, the distribution of QoS, instead of simply end-to-end QoS, needs to be monitored. In QoS distribution monitoring, the distribution of QoS experienced by a real-time flow in different network segments is monitored. This paper presents a brief survey of current QoS monitoring-related mechanisms, followed by a discussion of the challenges involved in providing QoS distribution monitoring. Several approaches are then proposed to meet these challenges.
Geometric integration on Euclidean group with application to articulated multibody systems

Numerical integration methods based on the Lie group theoretic geometrical approach are applied to articulated multibody systems with rigid body displacements, belonging to the special Euclidean group SE(3), as a part of generalized coordinates. Three Lie group integrators, the Crouch-Grossman method, commutator-free method, and Munthe-Kaas method, are formulated for the equations of motion of articulated multibody systems. The proposed methods provide singularity-free integration, unlike the Euler-angle method, while approximated solutions always evolve on the underlying manifold structure, unlike the quaternion method. In implementing the methods, the exact closed-form expression of the differential of the exponential map and its inverse on SE(3) are formulated in order to save computations for its approximation up to finite terms. Numerical simulation results validate and compare the methods by checking energy and momentum conservation at every integrated system state.
NDNVideo : Random-access Live and Pre-recorded Streaming using NDN

The experimental future Internet architecture, Named Data Networking (NDN) [1], offers significant promise for content distribution applications. NDN treats data, instead of hosts, as the first-class entity on the network. Instead of addressing nodes on the network with IP addresses (numbers), NDN enables applications to name data (often in a human-readable way) and routes based on those names. Among other benefits, this approach, combined with per-packet content signatures, can reduce network traffic by enabling routers to cache data packets. If two consumers request the same data, the router can forward the same packet to both of them instead of requiring the data publisher to generate a separate packet. Video distribution services, such as YouTube, could benefit significantly from NDN. The site provides multiple videos, but using the current IP Internet, when multiple computers request the same video, YouTube needs to send duplicate packets to transmit the same video to each. (Even modern content distribution networks do not fully mitigate this requirement.) NDN would enable the network itself to cache frequently requested data, reducing load on YouTube servers and increasing performance for users. Interestingly, it could provide the same support to low-capability sources of video, such as mobile phones, enabling direct publishing to many consumers from even these devices. Additionally, by publishing video data using semantically meaningful names (e.g., timecode frame indexes), random access and other related features can be easily implemented. To develop NDN’s potential for scalable random-access video further, this project designed and implemented a complete software solution for video and audio streaming over NDN, called NDNVideo. NDNVideo leverages the network’s features to provide highly scalable, randomaccess video from live and pre-recorded sources with a straightforward consumer and publisher implementation. It uses the GStreamer open-source media framework and PyCCN, Python bindings for the CCNx software router.
Time-energy optimal path tracking for robots: a numerically efficient optimization approach

This paper focuses on time-optimal and time-energy optimal path tracking, which are subproblems in optimal motion planning of robot systems. Through a nonlinear change of variables, the time-energy optimal path tracking problem is transformed here into a convex optimal control problem with a single state variable. A direct transcription method is presented that reduces finding the globally optimal trajectory to solving a second-order cone program using robust numerical algorithms that are freely available. Application to a 6-DOF KUKA 361 industrial robot carrying out a writing task illustrates the practicality of the new method.
Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs With Grouped Data

This article discusses the evaluation of programs implemented at multiple sites. Two frequently used methods are pooling the data or using fixed effects (an extreme version of which estimates separate models for each site). The former approach ignores site effects. The latter incorporates site effects but lacks a framework for predicting the impact of subsequent implementations of the program (e.g., would a new implementation resemble Riverside? ). I present a hierarchical model that lies between these two extremes. Using data from the Greater Avenues for Independence demonstration, I demonstrate that the model captures much of the site-to-site variation of the treatment effects but has less uncertainty than estimating the treatment effect separately for each site. I also show that when predictive uncertainty is ignored, the treatment impact for the Riverside sites is significant, but when predictive uncertainty is considered, the impact for these sites is insignificant. Finally, I demonstrate that the model extrapolates site effects with reasonable accuracy when the site being predicted does not differ substantially from the sites already observed. For example, the San Diego treatment effects could have been predicted based on their site characteristics, but the Riverside effects are consistently underpredicted.
Young English Language Learners: Current Research and Emerging Directions for Practice and Policy. Early Childhood Education Series.

It is well known that the number of non-English speakers is on the rise in the United States. What is less well known is that the largest proportion of this population is children under the age of 5. These young English language learners (ELLs) often demonstrate achievement gaps in basic math and reading skills when they start school. How best to educate this important and growing preschool population is a pressing concern for policymakers and practitioners. The chapters in this important book provide up-to-date syntheses of the research base for young ELLs on critical topics such as demographics, development of bilingualism, cognitive and neurological benefits of bilingualism, and family relationships, as well as classroom, assessment, and teacher-preparation practices. Each chapter reviews the research and answers the following questions: what does the research clearly indicate for policy and practice; how solid is this database and what findings are emerging; and what should the research agenda be for young ELLs?
Comparison of Viewpoint of Obese Children and Their Parents Abouttheir Quality of Life in Shahrekord

Background & Objective: The worldwide incidence of obesity is increasing rapidly not only in industrialized countries, but also in developing countries also seen an increase in prevalence. Health and quality of life of the most important factors in self-care behaviors and self-monitoring is particularly important in the prevention of obesity and its complications. From this perspective, the present study compared obese children and their parents to determine the quality of life for children in Shahrekord done. Method: In a cross - sectional study, 15 primary school boys and girls in Shahrekord were selected by cluster random sampling. The height and weight of students of the school to the standard method measured and body mass index (BMI) was calculated. According to the Center for Disease Control, subjects with higher BMI percentile 95 for age and gender as obese and with a BMI percentile of 85 to 95 as overweight considered and Sort by Morgan 140 children selected randomly. Then the quality of life of their vision and their parents examined . Data collected by Questionnaire (pedsQoL) in both the children and parents about physical (8 items), emotional (5 items), social (5 questions ) and school performance (5 questions). Data were analyzed with using inferential statistics (paired t-test, Mann-Whitney and Spearman correlation). Results: Results show mean score of quality of life in the viewpoint of children With obesity was0/92± 0/59 and in the viewpoint of their parents was1/29± 0/87 . Comparison means quality of life score of children and their parents using the t-test, α Level of %5 indicates significant statically difference in total score (P<0/001). There were no significant differences between mean score of quality of life in the social and school dimension in the parents and children viewpoint , but in physical (p <0/001) and emotional (p <0/05), this difference was significant. Emotional quality of life of the girls was worse than boys (p <0/001). Conclusion: Result showed that the viewpoint of obese children and their parents about quality of life was different in total and in different dimension (especially the physical and emotional dimension) and parents view was more undesirable. Therefore in attention to the important role of parents in the care of children must consider view of parents about quality of life and provide background to their participation in care planning to as much as possible promotion of children quality of life.
A real time distributed approach to collision avoidance for industrial manipulators

Robot interaction with the surrounding environment is an important and newsworthy problem in the context of industrial and service robotics. Collision avoidance gives the robot the ability to avoid contacts with objects around it, but most of the industrial controls implementing collision avoidance checks only the robot Tool Center Point (TCP) over the objects in the cell, without taking into account the shape of the tool, mounted on the robot flange. In this paper a novel approach is proposed, based on an accurate 3D simulation of the robotic cell. A distributed real time computing approach has been chosen to avoid any overloading of the robot controller. The simulator and the client application are implemented in a personal computer, connected via a TCP-IP socket to the robot controller, which hosts and manages the anti-collision policies, based on a proper speed override control. The real time effectiveness of the proposed approach has been confirmed by experimental tests, carried out for a real industrial setup in two different scenarios.
Novel lecithin-integrated liquid crystalline nanogels for enhanced cutaneous targeting of terconazole: development, in vitro and in vivo studies

Terconazole (Tr) is the first marketed, most active triazole for vaginal candidiasis. Owing to poor skin permeation and challenging physicochemical properties, Tr was not employed for the treatment of cutaneous candidiasis. This is the first study to investigate the relevance of novel lecithin-integrated liquid crystalline nano-organogels (LCGs) to improve physicochemical characteristics of Tr in order to enable its dermal application in skin candidiasis. Ternary phase diagram was constructed using lecithin/capryol 90/water to identify the region of liquid crystalline organogel. The selected organogel possessed promising physicochemical characteristics based on particle size, rheological behavior, pH, loading efficiency, and in vitro antifungal activity. Microstructure of the selected organogel was confirmed by polarized light microscopy and transmission electron microscopy. Ex vivo and in vivo skin permeation studies revealed a significant 4.7- and 2.7-fold increase in the permeability of Tr-loaded LCG when compared to conventional hydrogel. Moreover, acute irritation study indicated safety and compatibility of liquid crystalline organogel to the skin. The in vivo antifungal activity confirmed the superiority of LCG over the conventional hydrogel for the eradication of Candida infection. Overall, lecithin-based liquid crystalline organogel confirmed its potential as an interesting dermal nanocarrier for skin targeting purpose.
Weak Evolvability Equals Strong Evolvability

A process for the purification of caffeine which comprises carrying out the following steps in any order; (a) recrystallization of caffeine from an aqueous alkaline solution of caffeine containing a reducing agent and (b) extraction of the caffeine from an aqueous alkaline solution of caffeine with a substantially water-immiscible solvent which is liquid under the conditions of the process.
Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study

Applications of cyber technologies improve the quality of monitoring and decision making in smart grid. These cyber technologies are vulnerable to malicious attacks, and compromising them can have serious technical and economical problems. This paper specifies the effect of compromising each measurement on the price of electricity, so that the attacker is able to change the prices in the desired direction (increasing or decreasing). Attacking and defending all measurements are impossible for the attacker and defender, respectively. This situation is modeled as a zero-sum game between the attacker and defender. The game defines the proportion of times that the attacker and defender like to attack and defend different measurements, respectively. From the simulation results based on the PJM 5-Bus test system, we can show the effectiveness and properties of the studied game.
Worst-Case Optimal Reasoning for the Horn-DL Fragments of OWL 1 and 2

Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more specifically, are usually tractable w.r. t. data complexity. Despite their potential, and partly due to the intricate interaction of nominals (O), inverses (I) and counting (Q), such fragments had not been studied so far for the DLs SHOIQ and SROIQ that underly OWL 1 and 2. In this paper, we present a polynomial and modular translation from Horn-SHOIQ knowledge bases into DATALOG, which shows that standard reasoning tasks are feasible in deterministic single exponential time. This improves over the previously known upper bounds, and contrasts the known NEXPTIME completeness of full SHOIQ. Thereby, Horn-SHOIQ stands out as the first EXPTIME complete DL that allows simultaneously for O, I, and Q. In addition, we show that standard reasoning in Horn-SROIQ is 2-EXPTIME complete. Despite their high expressiveness, both Horn-SHOIQ and Horn-SROIQ have polynomial data complexity. This makes them particularly attractive for reasoning in semantically enriched systems with large data sets. A promising first step in this direction could be achieved exploiting existing DATALOG engines, along the lines of our translation.
Downlink overloaded multiple access based on constellation expansion

A new overloaded multiple access scheme for the downlink of wireless systems is presented. It performs simultaneous transmission of multiple data streams intended for users experiencing similar signal-to-noise ratios (SNR). The proposed scheme performs stream multiplexing by mapping the coded bits of each stream onto the labels of an expanded constellation according to a time-varying pattern designed for providing the same level of protection against errors to all streams. Using this scheme, multiple data streams can be concurrently transmitted on the same time-frequency resource blocks of OFDMA systems, thus achieving a higher aggregate spectral efficiency and tighter delay constraints.
Green Tea Consumption and Stomach Cancer Risk: A Meta-Analysis

OBJECTIVES Green tea has been suggested to have a chemopreventive effect against various cancers including stomach cancer. The aim of this study is to elucidate the relationship between green tea consumption and stomach cancer risk by meta-analysis. METHODS Eighteen observational studies were identified using MEDLINE, THE COCHRANE LIBRARY, RISS, and a manual search. Summary relative risks/odds ratios (RR/ORs) for the highest versus non/lowest green tea consumption levels were calculated on the basis of fixed and random effect models. Subgroup analyses were used to examine heterogeneity across the studies. RESULTS The combined results indicate a reduced risk of stomach cancer with intake of green tea (RR/OR=0.86, 95% CI=0.74-1.00). Subgroup analysis with six studies that reported differences between the highest and lowest consumption levels equal to or greater than five cups/day revealed a statistically significant protective effect (RR/OR=0.68, 95% CI=0.53-0.87). CONCLUSION Green tea appears to play a protective role against the development of stomach cancer. The results also suggest that a higher level of green tea consumption might be needed for a clear preventive effect to appear. This conclusion, however, should be interpreted with caution because various biases can affect the results of a meta-analysis.
The físchlár digital video system: a digital library of broadcast TV programmes

Físchl& acute;r is a system for recording, indexing, browsing and playback of broadcast TV programmes which has been operational on our University campus for almost 18 months. In this paper we give a brief overview of how the system operates, how TV programmes are organised for browse/playback and a short report on the system usage by over 900 users in our University.
MCMC LINKED WITH IMPLICIT SHAPE MODELS AND PLANE SWEEPING FOR 3D BUILDING FACADE INTERPRETATION IN IMAGE SEQUENCES

: In this paper we propose to link Markov Chain Monte Carlo – MCMC in the spirit of (Dick, Torr, and Cipolla, 2004) with information from Implicit Shape Models – ISM (Leibe and Schiele, 2004) and with Plane Sweeping (Werner and Zisserman, 2002) for the 3D interpretation of building facades, particularly for determining windows and their 3D extent. The approach starts with a (possibly uncalibrated) image sequence, from which the 3D structure and especially the vertical facades are determined. Windows are then detected via ISM. The main novelty of our work lies in using the information learned by the ISM also to delineate the window extent. Additionally, we determine the 3D position of the windows by plane sweeping in multiple images. Results show potentials and problems of the proposed approach.
Development of a Stochastic Cloud-Radiation Parameterization

Scientists have long been aware that there is a need for a numerical description of radiative transfer through media with statistically distributed parameters (Stephens 1984, Ramanathan et al. 1989b, and Stephens et al. 1991). Stochastic radiative transfer modeling has recently been shown to be a promising approach to modeling the domain-averaged shortwave radiation fields that occur during scattered cloud conditions (Figure 1, Lane et al. 2002, Lane 2000, Lane and Somerville, 2003). The stochastic model distributes clouds in a clear sky according to the statistics of the cloud field and then calculates the ensemble-averaged radiation field.
Segmentation of skin color regions based on fuzzy cluster

Skin color is an important feature for face detection in color images. By building and applying a statistical skin color model, possible face regions in color images can be obtained. However, due to the inclusion of different races of people's skin color points, this general statistical model is not accurate enough to segment each specific image as we expected. Besides, most 2D skin color models, e.g. CbCr, which is a 2D projection of 3D color distribution, cannot adapt itself to lighting variations. So, we present a 3D CrCbCg model to describe the skin color distribution more precisely. Meanwhile, considering skin points in a specific image have a relatively stable distribution, we present a fuzzy cluster based skin model to remove background points which are wrongly retained by the general model. Experimental results show that our algorithm can effectively improve segmentation results.
The appendage domain of the AP-2 subunit is not required for assembly or invagination of clathrin-coated pits

Coated pits contain a resident membrane molecule(s) that binds clathrin AP-2 with high affinity. AP-2 binding to this site is likely to be the first step in coated pit assembly because this subunit functions as a template for the polymerization of clathrin into flat polygonal lattices. Integral membrane proteins involved in receptor mediated endocytosis cluster in the newly assembled pits as they invaginate and bud from the membrane. The AP-2 subunit is a multi-domain, molecular complex that can be separated by proteolysis into a brick-shaped core and ear-like appendage domains. We have used this property to identify the domain involved in the various stages of coated pit assembly and budding. We found that the core of AP-2 is the domain that binds both to membranes and to triskelions during assembly. Triskelions are perfectly capable of forming lattices on the membrane bound cores. Clathrin lattices bound only to core domains were also able to invaginate normally. Limited proteolysis was also useful for further characterizing the AP-2 binding site. Elastase treatment of the inside membrane surface released a peptide fraction that is able to bind AP-2 in solution and prevent it from interacting with membranes. Affinity purification of binding activity yielded a collection of peptides that was dominated by a 45-kD species. This is the candidate peptide for containing the AP-2-binding site. Therefore, the appendage domain does not directly participate in any of the assembly or invagination events required for coated pit function.