Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Conserved Local Structure from Functional Hierarchical Classification via Local Structure Comparison

Local region conservation has been observed in recent years and become more and more important in structure biology. Recent researches point out that local conservation regions are correlated to protein functional sites and functions and studies show that some local conservation on sequence or structure are close to binding area. Hence, in order to realize how function works, we can discover local structure region to understand protein function via observation in local conservation. Furthermore, many researches show that function would be activate on the surface of protein structure, but not whole structure and local region conservation can be discovered from sequence, structure or both in current status. Sequence conservation has been discovered in recent researches. There are existing examples which show that structure conservation can be mapped from sequence conservation; however, it is still a problem to mining structure conservation via structure comparison. Structure conservation has become a hot topic to be discussed. Protein function needs to take place in local region to activate the biochemical reaction. Therefore, our motivation is to apply protein structure comparison algorithm to mining local structure conservation. Because these local structure conservations would be used to support structure or provide function, we use functional site to connect the relationship between local structure conservation and protein function. Given functional hierarchical classification, we can easily identify protein function and using proteins with the same EC number to mining or discover conservation which may be related to function. Furthermore, we try to extract local structure region associated to its protein functional site.
Current Mode Computational Circuits forAnalog Signal Processing

The paper presents current adder and subtractor circuits based on cascode current mirror with improved linearity and wide linear range. The proposed circuits can be used for analog signal processing applications such as amplifiers, operational transconductance amplifiers (OTA), Gm-C filters, etc. In the proposed circuits, cascode current mirror topology is employed to improve current mirroring operation. The proposed circuits have been simulated using TSMC 0. 18μm CMOS process technology with a supply voltage of 1.8 V. The proposed circuits operate efficiently within the current range of 0 to 80μA with the permissible error percentage of less than 2.5%. The SPICE simulation results have been presented to demonstrate the effectiveness of the proposed circuits
Effects of Aryl Hydrocarbon Receptor Signaling on the Modulation of Th1/Th2 Balance1

An orally active antiallergic agent, M50367, skews the Th1/Th2 balance toward Th1 dominance by suppressing naive Th cell differentiation into Th2 cells in vitro. Administration results in the suppression of IgE synthesis and peritoneal eosinophilia in vivo. In this report, we determined that M50354 (an active metabolite of M50367) was a ligand for the aryl hydrocarbon receptor (AhR); the immunological effects of this compound on in vitro Th1/Th2 differentiation from naive Th cells and Th1/Th2 balance in vivo were manifested through binding to AhR. These effects were completely abolished in AhR-deficient mice. AhR expression in the naive Th cell was significantly up-regulated by costimulation of TCR and CD28. Suppression of naive Th cell differentiation into Th2 cells via binding of M50354 to AhR was associated with inhibition of GATA-3 expression in Th cells. In addition, forced expression of a constitutively active form of AhR or activation of AhR by the addition of representative ligands suppressed naive Th cell differentiation into Th2 cells. Based on these results, we conclude that AhR functions as a modulator of the in vivo Th1/Th2 balance through activation in naive Th cells.
MUESLI: multiple utterance error correction for a spoken language interface

We propose a method for using all available information to help correct recognition errors in tasks that use constrained grammars of the kind used in the domain of Command and Control (CC) systems. In current spoken language CC systems, if there is a recognition error, the user repeats the same phrase multiple times until a correct recognition is achieved. This interaction can be frustrating for the user, especially at high levels of ambient noise. We aim to improve the accuracy of the error correction process by using all the previous information available at a given point, this being the previous utterances of the same input phrase and the knowledge that the previous result contained an error.
Relative Frequencies of Three Cystic Fibrosis Mutations in North Jordan; “F508, W1282X, and N1303K

Abstract 120 Patients from North Jordan were screened for three cystic fibrosis mutations; “F508, W1282X, and N1303K. This study identified “F508 (23.75%) and W1282X (15%) only. N1303K was not detected, although it was reported earlier from Jordan in low frequency.
A simple optimum detector for distributed space- time block coding under imperfect synchronisation

Most research on D-STBC has assumed that cooperative relay nodes are perfectly synchronised. Since such an assumption is difficult to achieve in many practical systems, this paper proposes a simple yet optimum detector for the case of two relay nodes, which proves to be much more robust against timing misalignment than the conventional STBC detector.
A quasi-resonant quadratic boost converter using a single resonant network

This paper presents a quadratic boost converter using a single quasi-resonant network to reach soft commutation. A resonant inductor, a resonant capacitor, and an auxiliary switch form the resonant network and the main switch operates in a zero-current-switching way. A complete analysis of this converter is presented. According to the simulation and experimental results, this quadratic boost converter provides a larger conversion ratio than that provided by the conventional boost converter (for a given duty ratio D), and presents optimum performance, which operates with soft-switch commutation using a single resonant network.
Modified after surgical face recognition using RBF neural networks and local Gabor binary patterns

Today, a typical face recognition system, especially after surgeries are having problems such as lack of identification of the tissue changes are attributed to the original image. In this paper, a method is proposed to solve this problem as GLRB1. In the proposed method, the image is classification by RBF2 neural network after normalized, then extracted the face texture feature with Gabor filters and LBP. The Characteristics of proposed method that used the filter bank to images are more fit after surgery. The Results execution after surgical on the images, show that the proposed method has satisfactory performance.
Distributed Cooperative Caching: An Energy Efficient Memory Scheme for Chip Multiprocessors

Current trends in CMPs indicate that the core count will increase in the near future. One of the main performance limiters of these forthcoming microarchitectures is the latency and high demand of the on-chip network and the off-chip memory communication. One of the main trade-offs when searching an optimal cache hierarchy is the sharing degree of cache space and its on-die distribution. Several techniques have appeared recently that optimize these parameters to get a better performance. This work provides some insight in the most promising configurations for tiled microarchitectures and shows the advantages and limitations of each of them in terms of performance and energy efficiency. This paper extends previous works by providing a complete study that evaluates different network topologies, single and multithreaded benchmarks, and single and multiprogrammed execution. In all these studies, the Distributed Cooperative Caching shows to be a promising alternative to traditional configurations for chip multiprocessors, providing a scalable and energy efficient solution.
Genome-Wide Scan for Visceral Leishmaniasis in Mixed-Breed Dogs Identifies Candidate Genes Involved in T Helper Cells and Macrophage Signaling

We conducted a genome-wide scan for visceral leishmaniasis in mixed-breed dogs from a highly endemic area in Brazil using 149,648 single nucleotide polymorphism (SNP) markers genotyped in 20 cases and 28 controls. Using a mixed model approach, we found two candidate loci on canine autosomes 1 and 2. The positional association on chromosome 2 mapped to a predicted DNAse sensitive site in CD14+ monocytes that serve as a cis-regulatory element for the expression of interleukin alpha receptors 2 (IL2RA) and 15 (IL15RA). Both interleukins were previously found to lead to protective T helper 1 cell (Th1) response against Leishmania spp. in humans and mice. The associated marker on chromosome 1 was located between two predicted transcription factor binding sites regulating the expression of the transducin-like enhancer of split 1 gene (TLE1), an important player in Notch signaling. This pathway is critical for macrophage activity and CD4+ T cell differentiation into Th1 and T helper 2. Together, these findings suggest that the human and mouse model for protective response against Leishmania spp. , which involves Th1 and macrophage modulation by interleukins 2, 15, gamma interferon and Notch signaling, may also hold for the canine model.
Voluntary Environmental Regulation in Developing Countries: Mexico’s Clean Industry Program

Because conventional command-and-control environmental regulation often performs poorly in developing countries, policymakers are increasingly experimenting with alternatives, including voluntary regulatory programs. Research in industrialized countries suggests that such programs are sometimes ineffective because they mainly attract relatively clean participants free-riding on unrelated pollution control investments. We use plant-level data on more than 100,000 facilities to analyze the Clean Industry Program, Mexico’s flagship voluntary regulatory initiative. We seek to identify the drivers of participation and to determine whether the program improves participants’ environmental performance. Using data from the program’s first decade, we find that plants recently fined by environmental regulators were more likely to participate, but that after graduating from the program, participants were not fined at a substantially lower rate than nonparticipants. These results suggest that although the Clean Industry Program attracted dirty plants under pressure from regulators, it did not have a large, lasting impact on their environmental performance.
Provision of Pedagogical Resources in Service-Oriented Instructional Environments

Compared to the current approach of delivering instructional materials to learners in Web-based learning environments, the service-oriented instructional processes bring benefits in multiple facets. To realize the concept of service-oriented instructional processes, the capability of dynamically searching and binding pedagogical services is inevitable. However, linking remote services results in more latency, which will undermine learning experience and thus needs to be minimized. It is rational to support cache for holding metadata of available instructional resources locally. Besides the cache mechanism, subscription and syndication of pedagogical resourcespsila metadata also will make the implementation of service-oriented instructional processes more practical and efficient. This paper aims to clarify the corresponding design principles and propose the reference architecture for realizing the concept.
Habermas: The Discourse Theory of Law and Democracy

Though many legal theorists are familiar with Jurgen Habermas's work addressing core legal concerns, they are not necessarily familiar with his earlier writings in philosophy and social theory. Because Habermas's later work on law invokes, without significant explanation, the whole battery of concepts developed in earlier phases of his career, even otherwise sympathetically inclined legal theorists face significant obstacles in evaluating his insights. A similar difficulty faces those outside the legal academy who are familiar with Habermas's earlier work. While they readily comprehend Habermas's basic social-theoretical concepts, without special legal training they have difficulty reliably assessing his recent engagement with contemporary legal thought. This new work bridges the gap between legal experts and those without special legal training, critically assessing the attempt of an unquestionably preeminent philosopher and social theorist to engage the world of law.
A Mobile Beacon-Assisted Localization Algorithm Based on Network-Density Clustering for Wireless Sensor Networks

Most existing mobile beacon-assisted localization algorithms do not make effective use of the node distribution information and let the mobile landmark traverse the entire network, which causes large path length and low utilization rate of beacon messages. In order to reduce the path length and use the mobile beacon more effectively, a novel mobile beacon-assisted localization algorithm based on network-density clustering (MBL(ndc)) for wireless sensor networks is presented, which combines node clustering, incremental localization and mobile beacon assisting together. Simulation results demonstrate that the proposed MBL(ndc) algorithm offers comparable localization accuracy as the mobile beacon-assisted localization algorithm with HILBERT trajectory, but with less than 50% path length of the later, which shortens the period of positioning the whole network.
The Father-Child Relationship in Voluntary Paternity Acknowledgment Cases

INTRODUCTION This report examines the effect of voluntarily acknowledged paternity on the relationship between fathers and their nonmarital children in the two to five years after the child's birth. Previous research has shown the benefits of paternity establishment for nonmarital children, particularly in the area of financial support during their childhoods. Given this, policy makers have tried to improve the paternity establishment process, in part by establishing in-hospital and other voluntary procedures. The question addressed by this paper is whether voluntary paternity establishment is associated with differences in the father-child relationship in the early years of the child's life. BACKGROUND AND DATA Following increases in nonmarital childbearing during the 1970s and 1980s, research began to show the benefits of paternity establishment for nonmarital children, particularly in the area of financial additional benefits: Paternity determination establishes the legal basis for claiming a variety of rights for children born out of wedlock—the ability to realize inheritance, survivor benefits through Social Security; worker's compensation benefits, if the father is injured on the job; education and health care, if the father is a member of the armed forces; and dependent benefits for health insurance, if the father has such coverage through an employer. Paternity determination also has recognized medical benefits. Knowledge about potential inherited disorders allows appropriate medical care, as well as the possibility of the father being a life-saving donor of bone marrow or an organ in a medical emergency. Finally, paternity establishment has a number of potential emotional and psychological benefits, including the opportunity to know family roots, to explore cultural and religious ties, and to establish a parent-child relationship and have access to the paternal family. Efforts to increase the rates of paternity establishment led to the development of voluntary acknowledgement procedures in the 1990s to promote paternity establishment in the early days or weeks 2 of a child's life During the first days and weeks of the child's life, the parents are often still in contact with each other; at-birth, in-hospital programs take advantage of bonds formed between parents and their newborn child to promote legal paternity establishment. The voluntary acknowledgment procedures also have the advantage of avoiding the judicial system. Wisconsin began a trial in-hospital voluntary paternity acknowledgment program in 1993, which was subsequently expanded statewide. This program is currently referred to as the PATH (Paternity Acknowledgment Through Hospitals) program, although the voluntary paternity establishment process
A Case Study in Low-Complexity ECG Signal Encoding: How Compressing is Compressed Sensing?

When transmission or storage costs are an issue, lossy data compression enters the processing chain of resource-constrained sensor nodes. However, their limited computational power imposes the use of encoding strategies based on a small number of digital computations. In this case study, we propose the use of an embodiment of compressed sensing as a lossy digital signal compression, whose encoding stage only requires a number of fixed-point accumulations that is linear in the dimension of the encoded signal. We support this design with some evidence that for the task of compressing ECG signals, the simplicity of this scheme is well-balanced by its achieved code rates when its performances are compared against those of conventional signal compression techniques.
Local stability and stabilization of discrete-time Takagi-Sugeno fuzzy systems using bounded variation rates of the membership functions

This paper deals with the problems of local stability analysis, local stabilization, and the computation of invariant subsets of the domain of attraction for discrete-time Takagi-Sugeno fuzzy systems. Fuzzy Lyapunov-based local stability and stabilization conditions are presented by focusing on the case when bounds on variation rates of the membership functions are a priori given. The mean value theorem and polytopic bounds on the gradient of the membership functions are used to consider the relation between membership functions at samples k and k + 1. The conditions are eigenvalue problems, which are solvable via convex optimizations. Examples compare the proposed conditions with existing tests.
An Unsupervised Data-Driven Cross-Lingual Method for Building High Precision Sentiment Lexicons

In this paper we present a completely unsupervised approach for creating a sentiment lexicon. The approach has been realized by designing a pipeline which implements an unsupervised system that covers different aspects: the automatic extraction of user reviews, the pre-processing of text, the use of a scoring measure which combines: entropy, term frequency, inverse document frequency, and finally a cross lingual intersection. We have validated the approach though the analysis of a previews present in the Google Play market. The results show the effectiveness of the approach given by satisfactory values of precision for the obtained lexicon.
A cross-layer dedicated protection unicast routing scheme in IP over WDM optical Internet

In this paper, a cross-layer dedicated protection unicast routing scheme is proposed in IP over WDM optical Internet. It can groom the routing requests, establish the protecting path in IP layer and provide the protection for the heavy-load working lightpaths in WDM layer under multi-constraints such as sparse-incomplete wavelength conversion capability and the number of optical transmitters and receivers. Finally, the systematic simulation results indicate the routing scheme is feasible and effective in IP over WDM optical Internet.
Optimization of a Simulated Well Cluster using Surrogate Models

Abstract In this paper we present an implementation of a partly Derivative-Free Optimization (DFO) algorithm for production optimization of a simulated multi-phase flow network. The network consists of well and pipeline simulators, considered to be black-box models without available gradients. The algorithm utilizes local approximations as surrogate models for the complex simulators. A Mixed Integer Nonlinear Programming (MINLP) problem is built from the surrogate models and the known structure of the flow network. The core of the algorithm is IBM's MINLP solver Bonmin, which is run iteratively to solve optimization problems cast in terms of surrogate models. At each iteration the surrogate models are updated to fit local data points from the simulators. The algorithm is tested on an artificial subsea network modeled in FlowManager ™ , a multi-phase flow simulator from FMC Technologies. The results for this special case show that the algorithm converges to a point where the surrogate models fit the simulator, and they both share the optimum.
Microelectronics and change at work

Part 1: objectives structure of the report. Part 2 Applying microelectronics - costs and benefits: microelectronics and information technology information technology and information activities options in using microelectronics benefits of using microelectronics extent of use of microelectronics extent of use by country costs in applying microelectronics other obstacles to applying microelectronics market and trade implications of microelectronics future scenarios. Part 3 Employment implications of microelectronics: quantitative employment implications - some policy choices impact on skills - skills implications for the Third World impact on work organization and the nature of work impact on the quality of working life implications for industrial relations. Part 4 Policy Options: policy issues employment policy government policy employer policy trade union policy education, training and retraining policy policy implications at the national level policy at the firm level trade union policy industrial relations policy work organization and the quality of working life. Part 5 Summary and check-list: government level employer level trade unions and workers' representatives.
A Personalized Recommendation Model Based on Social Tags

In traditional e-commerce websites, social tags are used in product classification only, and not applied in the domain of personalized recommendation technology. In this paper, we propose a personalized recommendation model based on social tags. We build a user interest model for products by reflecting user interest and product features directly through social tags, and optimize the interest model by social tags clustering. We design a personalized recommendation algorithm based on this model in order to find out the high user interest degree products, which can provide personalized recommendation service for users. The experiment results show that the personalized recommendation model based on social tags can effectively improve the accuracy of product recommendation.
Base-Modified Nucleosides: Etheno Derivatives

This review presents synthesis and chemistry of nucleoside analogs, possessing an additional fused, heterocyclic ring of the “etheno” type, such as 1,N6-ethenoadenosine, 1,N4-ethenocytidine, 1,N2-ethenoguanosine, and other related derivatives. Formation of ethenonucleosides, in the presence of α-halocarbonyl reagents and their mechanism, stability, and degradation, reactions of substitution and transglycosylation, as well as their application in the nucleoside synthesis, have been described. Some of the discussed compounds may be applied as chemotherapeutic agents in antiviral and anticancer treatment, acting as pro-nucleosides of already known, biologically active nucleoside analogs.