Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework for Long Term Information Management of Product Configurations

Product configuration is an information intensive task for creating valid component combinations or descriptions from specifications. Information included in this process consists of product models, component models, actual partially or fully specified configurations, plus information of the configuration process itself. A system utilizing only a snapshot of this information can be built in a straightforward manner, but keeping all the information up-to-date within a constantly evolving environment is far from trivial. So far there has not been much research done on how this evolution of knowledge could be mastered. We start by describing the requirements for a configuration management system for a world-wide industrial enterprise. We then present a data model for a configuration environment where multiple partners take part in the process. From data engineering point of view the main problem is that configuration data in the system should be accessible for long periods of time and the system should be able to cope with information changes in all categories described above.
Protein Sequence Motif Extraction Using Decision Forest

— As one of the more prominent areas of bioinformatics research, protein sequence analysis has gathered considerable interest. The structure, function, and activities of the protein are strongly linked to structural motifs found in its sequence data. Building off of past research, we propose a new granule model that combines the strength of fuzzy logic and granule computing, with the speed and robustness of a decision tree for the purpose of identifying and extracting protein motif data that transcends protein families. We propose parameters for the model and test their effectiveness using several measures of accuracy and quality. The end result, a decision tree example, is explored for its usefulness in this endeavor
A Hybrid Scheduling Algorithm with Load Balancing for Computational Grid

Grid Computing provides seamless and scalable access to wide-area distributed resources. Since, computational grid shares, selects and aggregates wide variety of geographically distributed computing resources and presents them as a single resource for solving large scale computing applications, there is a need for a scheduling algorithm which takes into account the various requirements of grid environment. Hence, this research proposes a new scheduling algorithm for computational grids that considers load balancing, fault tolerance and user satisfaction based on the grid architecture, resource heterogeneity, resource availability and job characteristics such as user deadline. This algorithm reduces the makespan of the schedule along with user satisfaction and balanced load. A simulation is conducted using Grid Simulator Toolkit (GridSim). The simulation results shows that the proposed algorithm has better makespan, hit rate and resource utilization.
Construction of Codes for Wiretap Channel and Secret Key Agreement from Correlated Source Outputs by Using Sparse Matrices

The aim of this paper is to prove coding theorems for the wiretap channel and secret key agreement based on the the notion of a hash property for an ensemble of functions. These theorems imply that codes using sparse matrices can achieve the optimal rate. Furthermore, fixed-r ate universal coding theorems for a wiretap channel and a secret key agreement are also proved.
Out of Touch? Visual Load Induces Inattentional Numbness

It is now well known that the absence of attention can leave people unaware of both visual and auditory stimuli (e.g., Dalton & Fraenkel, 2012; Mack & Rock, 1998). However, the possibility of similar effects within the tactile domain has received much less research. Here, we introduce a new tactile inattention paradigm and use it to test whether tactile awareness depends on the level of perceptual load in a concurrent visual task. Participants performed a visual search task of either low or high perceptual load, as well as responding to the presence or absence of a brief vibration delivered simultaneously to either the left or the right hand (50% of trials). Detection sensitivity to the clearly noticeable tactile stimulus was reduced under high (vs. low) visual perceptual load. These findings provide the first robust demonstration of “inattentional numbness,” as well as demonstrating that this phenomenon can be induced by concurrent visual perceptual load.
Achievable Rates for Gaussian Degraded Relay Channels With Non-Vanishing Error Probabilities

This paper revisits the Gaussian degraded relay channel, where the link that carries information from the source to the destination is a physically degraded version of the link that carries information from the source to the relay. The source and the relay are subject to expected power constraints. The <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-capacity of the channel is characterized and it is strictly larger than the capacity for any <inline-formula> <tex-math notation="LaTeX">$\varepsilon >0$ </tex-math></inline-formula>, which implies that the channel does not possess the strong converse property. The proof of the achievability part is based on several key ideas: block Markov coding, which is used in the classical decode-forward strategy, power control for Gaussian channels under expected power constraints, and a careful scaling between the block size and the total number of block uses. The converse part is proved by first establishing two non-asymptotic lower bounds on the error probability, which are derived from the type-II errors of some binary hypothesis tests. Subsequently, each lower bound is simplified by conditioning on an event related to the power of some linear combination of the codewords transmitted by the source and the relay. Lower and upper bounds on the second-order term of the optimal coding rate are also obtained.
Annals of the New York Academy of Sciences Potential Pathophysiological Mechanisms in Osteonecrosis of the Jaw

Bisphosphonates are used in the treatment of hypercalcemia of malignancy, skeletal complications associated with metastastic bone disease, Paget's disease, and osteoporosis. Osteonecrosis of the jaw (ONJ) is a recently described clinical condition that has been associated with the use of nitrogen-containing bisphosphonates. Reports describing this entity first appeared in the literature in 2003. While there have been significant numbers of case reports and a limited number of retrospective and prospective studies examining risk factors associated with ONJ, the pathophysiology of this condition remains elusive. In this review, we explore proposed mechanisms underlying ONJ development and identify potential areas for future investigation.
Sensorimotor integration

What we want is the model that can explain experimental data collected for the tactile-visual integration experiments. This model should include major brain structures involved in the information flow leading to sensomotoric behavior. We deliberatly avoid the statement “motoric responses” because we are not sure if it makes sense to speak about motoric responses to sensory stimuli. It may happen that the feedback connections between different brain structures are so strong that the coupling of all anatomical subsystems can only be understood as one integrated dynamical system in which the motoric actions provide reafferent prioprioceptive signals that not only complement the sensoric input but help to define it. In view of the recent findings that even the primary V1 visual cortex areas need feedback from higher areas for discovering basic structures in the visual data this should not be surprising. The overall approach should be based on a careful analysis of approximations describing couplings of different brain structures and conditions, under which these approximations hold. For example, people with various neurological problems exhibit different sensomotoric behavior since some of the couplings between their brain structures are different. An alternative is to look at the information processing and postulate unknown mechnisms that should be capable of doing the job. What information is available and what information is needed to enable the specific functions? This seems to be easier but it may create artificial problems such as the transformation of the coordinate system. In any system where interactions are strong the only chance to understand it is to find specific experimental situations in which most of thes interactions either have no influence or do not change so that differential effects may be investigated (ex: fMRI studies).
Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses

ABSTRACT Although research has advanced methods for clarifying factors that relate to customer satisfaction, they have not been embraced by leisure researchers. Using results from a survey of wild turkey hunters, we applied traditional and revised importance-performance (IPA/RIPA), importance-grid analysis (IGA), and penalty-reward-contrast analysis (PRCA) to examine how activity-specific factors influenced satisfaction. Results suggested differences between the explicit and implicit importance of factors related to turkey hunting. Opportunities to kill turkeys were explicitly rated as less important than seeing, hearing, or calling in turkeys, but opportunities for harvest had relatively higher levels of implicit importance. PRCA identified “calling turkeys in” and “hearing gobbling” as minimum requirements that cause dissatisfaction if not fulfilled, but do not provide satisfaction, whereas “seeing turkeys” and an “opportunity to kill a turkey” related to both satisfaction and dissatisfaction. RIPA, IGA, and PRCA could provide valuable insights about factors that may improve satisfaction for leisure participants.
Affective and Bodily Involvement in Children's Tablet Play

The rapid development of tablet applications targeting pre -school children presents us with challenging questions concerning how this age group engages with the applic ations. We performed a study with a tablet game designed to teach pre -school children about emotions, studying their mode of engagement and their understanding of the game. The purpose of the study was to provide insights into what play activities are encouraged by tablet play. The study showed clearly that even though the interactivity of the game was very limited, the children understood the social and emotional aspects of the game content very well. We also found that the children would sometimes engage affectively and dramatically with the game content; we highlight in particular instances of bodily involvement with the game. We argue that tablet games offer design opportunities for children in this age range that may be less relevant for older children, by taking corporeal play around the tablet into account. While none of the models for computer game-based learning and persuasion that have been proposed in literature constitutes a perfect fit to the behavior observed in our study, we find some resonance in the concept of procedural rhetorics in the way the players' interaction with the game serves to complete a rh etorical argument; in this case the storyline of the game. The children's dramatic involvement may potentially serve to strengthen such arguments.
Robust aggregation-based coarsening for additive Schwarz in the case of highly variable coefficients

We study two{level overlapping domain decomposition preconditioners with coarse spaces obtained by smoothed aggregation in iterative solvers for nite element dis- cretisations of second-order elliptic problems. We are particularly interested in the situa- tion where the diusion coecient (or the permeability) is highly variable throughout the domain. Our motivating example is Monte-Carlo simulation for ow in rock with perme- ability modelled by log-normal random elds. By using the concept of strongly-connected graph r-neighbourhoods (suitably adapted from the algebraic multigrid context) we design a two{level additive Schwarz preconditioner that is robust to strong variations in as well as to mesh renement. We give upper bounds on the condition number of the precondi- tioned system which do not depend on the size of the subdomains (not available previously in the literature) and make explicit the interplay between the coecient function and the coarse space basis functions in this bound. In particular, we are able to show that the condition number can be bounded independent of the ratio of the two values of in a binary medium even when the discontinuities in the coecient function are not resolved by the coarse mesh. Our numerical results show that the bounds with respect to the mesh parameters are sharp and that the method is indeed robust to strong variations in . We compare the method to other preconditioners (aggregation-type AMG and classical additive Schwarz) as well as to a sparse direct solver, and show its superiority over those methods for highly variable coecient functions .
Optimal power allocation for space-time coded OFDM UWB systems

In the last years, a lot of attention has been devoted to ultra wideband (UWB) systems. The multi-antenna and/or multi-carrier UWB transceiver designs have been well-documented. Compared with great progress at physical layer, the corresponding medium access control (MAC) layer protocol designs are naturally placed on the schedules. In this paper, we focus on the optimal power allocation scheme, which is an integral part of the MAC layer protocol design, for UWB orthogonal frequency-division multiplexing (OFDM) transmissions with space-time code (STC). To maximize the capacity, two kinds of power allocation schemes were presented based on perfect CSI or partial CSI respectively in frequency-selective UWB channels. And our scheme can be easily extended to multi-band system. The analysis and numerical results show good performance.
Localization of the insulin receptor in caveolae of adipocyte plasma membrane

The insulin receptor is a transmembrane protein of the plasma membrane, where it recognizes extracellular insulin and transmits signals into the cellular signaling network. We report that insulin receptors are localized and signal in caveolae microdomains of adipocyte plasma membrane. Immunogold electron microscopy and immunofluorescence microscopy show that insulin receptors are restricted to caveolae and are colocalized with caveolin over the plasma membrane. Insulin receptor was enriched in a caveolae‐enriched fraction of plasma membrane. By extraction with β‐cyclodextrin or destruction with cholesterol oxidase, cholesterol reduction attenuated insulin receptor signaling to protein phosphorylation or glucose transport. Insulin signaling was regained by spontaneous recovery or by exogenous replenishment of cholesterol. β‐Cyclodextrin treatment caused a nearly complete annihilation of caveolae invaginations as examined by electron microscopy. This suggests that the receptor is dependent on the caveolae environment for signaling. Insulin stimulation of cells prior to isolation of caveolae or insulin stimulation of the isolated caveolae fraction increased tyrosine phosphorylation of the insulin receptor in caveolae, demonstrating that insulin receptors in caveolae are functional. Our results indicate that insulin receptors are localized to caveolae in the plasma membrane of adipocytes, are signaling in caveolae, and are dependent on caveolae for signaling. —Gustavsson, J., Parpal, S. , Karlsson, M. , Ramsing, C. , Thorn, H. , Borg, M. , Lindroth, M. , Peterson, K. H. , Magnusson, K. ‐E. , Strålfors, P. Localization of the insulin receptor in caveolae of adipocyte plasma membrane. FASEB J. 13, 1961–1971 (1999)
Engaging students as co-producers: A critical reflection on the policy commission model

The teaching of political science has a tendency towards traditional classroom-based learning environments. This article describes the development of an innovative model of student learning that takes place outside the bounded nature of the established curriculum through the creation of a Policy Commission. The Policy Commission established an innovative ‘community of action’ that challenged traditional perceptions of the lone student as a producer of knowledge. This article describes the work of the Policy Commission, which engaged students in the act of ‘doing Politics’ and discusses the impact that it had on student learning. The article examines the potential of the Policy Commission model to offer a new form of learning.
Nanoscale SiGe-Channel Ultra-Thin-Body Silicon-on-Insulator P-MOSFETs

Device scaling has been successfully applied over many CMOS technology generations, resulting in consistent improvement in both device density and performance. However, new challenges are encountered in scaling conventional MOSFET structures much below 100 nm. The high channel doping concentration required to provide adequate short-channel effect (SCE) suppression results in degraded mobility and enhanced junction leakage. The ultra-thin-body silicon-on-insulator (SOI) MOSFET is a promising structure that suppresses SCE without using a heavily doped channel [1],[2]. With an undoped or lightly-doped channel, it also avoids the random fluctuation of threshold voltage due to random fluctuations of the position and number of dopant atoms in the channel region of nanoscale devices [3]. Another attractive approach to improving CMOS performance exploits the strainor band-structureinduced mobility enhancement to increase the drive current while maintaining the same threshold and supply voltages. One of the most notable effects is the enhanced hole mobility in SiGe under biaxial compressive strain [4],[5] as this could be introduced into a PMOSFET using a SiGe/Si heterostructure. Thus, a device that combines the advantages of the SiGe/Si heterostructure and an ultra-thin-body could be the device structure of choice in the nanoscale regime.
Effects of diet restriction on life span and age-related changes in dogs.

OBJECTIVE To evaluate the effects of 25% diet restriction on life span of dogs and on markers of aging. DESIGN Paired feeding study. ANIMALS 48 Labrador Retrievers. PROCEDURES Dogs were paired, and 1 dog in each pair was fed 25% less food than its pair-mate from 8 weeks of age until death. Serum biochemical analyses were performed, body condition was scored, and body composition was measured annually until 12 years of age. Age at onset of chronic disease and median (age when 50% of the dogs were deceased) and maximum (age when 90% of the dogs were deceased) life spans were evaluated. RESULTS Compared with control dogs, food-restricted dogs weighed less and had lower body fat content and lower serum triglycerides, triiodothyronine, insulin, and glucose concentrations. Median life span was significantly longer for dogs in which food was restricted. The onset of clinical signs of chronic disease generally was delayed for food-restricted dogs. CONCLUSIONS AND CLINICAL RELEVANCE Results suggest that 25% restriction in food intake increased median life span and delayed the onset of signs of chronic disease in these dogs.
Touch and toys: new techniques for interaction with a remote group of robots

Interaction with a remote team of robots in real time is a difficult human-robot interaction (HRI) problem exacerbated by the complications of unpredictable real-world environments, with solutions often resorting to a larger-than-desirable ratio of operators to robots. We present two innovative interfaces that allow a single operator to interact with a group of remote robots. Using a tabletop computer the user can configure and manipulate groups of robots directly by either using their fingers (touch) or by manipulating a set of physical toys (tangible user interfaces). We recruited participants to partake in a user study that required them to interact with a small group of remote robots in simple tasks, and present our findings as a set of design considerations.
A Generative Middleware Specialization Process for Distributed Real-Time and Embedded Systems

General-purpose middleware must often be specialized for resource-constrained, real-time and embedded systems to improve their response-times, reliability, memory footprint, and even power consumption. Software engineering techniques, such as aspect-oriented programming (AOP), feature-oriented programming (FOP), and reflection make the specialization task simpler, albeit still requiring the system developer to manually identify the system invariants, and sources of performance and memory footprint bottlenecks that determine the required specializations. Specialization reuse is also hampered due to a lack of common taxonomy to document the recurring specializations. This paper presents the GeMS (Generative Middleware Specialization) framework to address these challenges. We present results of applying GeMS to a Distributed Real-time and Embedded (DRE) system case study that depict a 21-35% reduction in footprint, and a ˜36% improvement in performance while simultaneously alleviating ˜97% of the developer efforts in specializing middleware.
Learning to Step : Models of Foot Placement for Biped Locomotion

In this paper, we propose different models for estimating foot placement in biped locomotion. We use either learning approach or optimization approach to obtain such models. We evaluate these models in terms of robustness and complexity. Our results show that these models are more flexible than Inverted Pendulum Model and they provide more agility for biped locomotion under different walking speed. CR Categories: I.3. 7 [Compute Graphics]: Three-Dimensional Graphics and Realism—Animation;
Feature Identification of Compensatory Gene Pairs without Sequence Homology in Yeast

Genetic robustness refers to a compensatory mechanism for buffering deleterious mutations or environmental variations. Gene duplication has been shown to provide such functional backups. However, the overall contribution of duplication-based buffering for genetic robustness is rather small. In this study, we investigated whether transcriptional compensation also exists among genes that share similar functions without sequence homology. A set of nonhomologous synthetic-lethal gene pairs was assessed by using a coexpression network, protein-protein interactions, and other types of genetic interactions in yeast. Our results are notably different from those of previous studies on buffering paralogs. The low expression similarity and the conditional coexpression alone do not play roles in identifying the functionally compensatory genes. Additional properties such as synthetic-lethal interaction, the ratio of shared common interacting partners, and the degree of coregulation were, at least in part, necessary to extract functional compensatory genes. Our network-based approach is applicable to select several well-documented cases of compensatory gene pairs and a set of new pairs. The results suggest that transcriptional reprogramming plays a limited role in functional compensation among nonhomologous genes. Our study aids in understanding the mechanism and features of functional compensation more in detail.
From Positive Neutrality to Silk Road Activism? The Continuities and Changes in Turkmenistan’s Foreign Policy

Abstract Turkmenistan’s foreign policy has been the subject of considerable scholarly debate since the Turkmenistan administration’s attempt to acquire a neutral status and the United Nations General Assembly’s recognition of this status by a declaration in 1995. This article firstly demonstrates the primary manifestations of Turkmenistan’s neutralism and analyses the roots of this foreign policy approach. In this context, the links of the continuities and changes in Turkmenistan’s foreign policy to Turkmenistan’s domestic politics are addressed. The article also tries to answer the question of whether the current activism in Turkmenistan’s foreign policy connotes a rupture from neutrality or not.