Miracle-dz/UniFAR-FTUs huggingface dataset:
A method for finding communities of related genes

We present a method for creating a network of gene co-occurrences from the literature and partitioning it into communities of related genes. The way in which our method identifies communities makes it likely that the component genes of each community will be related by their function. The method processes a large database of article abstracts, synthesizing information from many sources to shed light on groups of genes that have been shown to interact. It is a tool to be used by researchers in the biomedical sciences to swiftly search for known interactions and to provide insight into unexplored connections. The partitioning procedure is designed to be particularly applicable to large networks in which individual nodes may play a role in more than one community. In this paper, we explain the details of the method, in particular the partitioning process. We also apply the method to produce communities of genes related to colon cancer and show that the results are useful.
GPU Based Real-time Shadow Research

Shadow can strengthen the reality of 3D virtual scene and provide important visual information for the objects' spatial relationship in the scene. This paper presents a GPU based method for all the process of shadow volume algorithm. It can achieve greater shadow performance in ship-handling simulator than previous methods by migrating the silhouette extraction and shadow volume rending to GPU, and applying a series of techniques for culling, clipping, and simplifying shadow volume geometry. We make a series of optimization for the visual system of the ship-handling simulator such as limit the range of illumination, the alternation of z-pass and z-fail algorithm, using the ultra shadow technology and two sided stencil buffer to accelerate the rending of shadow
Reading Strategies in Everyday Life: Different Ways of Reading a Novel Which Make a Distinction

The article presents some selected results from our multimethod study "Lesesozialisation im Erwachsenenalter: Strategien literarischen Lesens in ihrer Bedeutung für Alltagsbewältigung und Biographie" [Reading socialization of the adult: Strategies of literary reading and their meaning in terms of coping with daily life and in terms of a person's biography]. In the first, ethnographic part of this study, six volunteer readers (who had spontaneously purchased a recently published novel) observed their own reading practices. The subjects were interviewed before, during, and after reading the novel. On the basis of these interviews, a great number of strategies for dealing with a literary text emerged. Most of these strategies appeared to be polyfunctional; nevertheless, certain techniques proved to be better than others for attaining specific goals. Different readers in different situations thus preferred different reading strategies. In the second part of our study, we conducted interviews with a representative sample of 1,025 experienced German novel readers and asked about their reading habits in general—not limited to the specific novel of part one. It emerged that female and male readers as well as readers with different sociocultural backgrounds (in Pierre Bourdieu's sense) preferred different reading strategies.
Application of Semiconductor Optical Amplifiers in High-Speed All-Optical NRZ to RZ Format Conversion

We present two types of 42.6 Gbit/s all-optical non-return-zero (NRZ) to return-zero (RZ) format converters using semiconductor optical amplifiers (SOAs). The converters are based on cross-phase modulation (XPM) and cross-polarisation modulation (XPolM) in SOAs. Both format converters produce a correctly-coded, polarity- preserved RZ signal at the output and have the flexibility of variable NRZ input data wavelength. Error-free operation was achieved for both converters with switching energy below 50 f J/pulse. The format converter based on XPM has the additional advantage of variable duty-cycle of the RZ signal and exhibited negative power penalties.
Semi-indexing semi-structured data in tiny space

Semi-structured textual formats are gaining increasing popularity for the storage of document collections and rich logs. Their flexibility comes at the cost of having to load and parse a document entirely even if just a small part of it needs to be accessed. For instance, in data analytics massive collections are usually scanned sequentially, selecting a small number of attributes from each document. We propose a technique to attach to a raw, unparsed document (even in compressed form) a "semi-index": a succinct data structure that supports operations on the document tree at speed comparable with an in-memory deserialized object, thus bridging textual formats with binary formats. After describing the general technique, we focus on the JSON format: our experiments show that avoiding the full loading and parsing step can give speedups of up to 12 times for on-disk documents using a small space overhead.
Potential Role of CC Chemokines and their Receptors in the Development of Respiratory Diseases

Increasing evidence suggests that the chemokine system coordinates leukocyte migration in immunity and in- flammation, involving in the pathogenesis of many pulmonary diseases. Chemokines are small proteins which interact with specific receptors to exert their chemotactic functions for inflammatory cells and constitutive cells. Among the com- plex system, CC chemokine receptors (CCRs) represent a subfamily of chemokine receptor, which is considered to play an important role in the pathogenesis of diseases characterized by disordered inflammation and immunity, among which some respiratory diseases, such as asthma, chronic obstructive pulmonary disease, acute lung injury, comprise one impor- tant part. The present paper reviewed the research of possible relationship and progress between this system and human lung diseases. Chemokines and their receptors are essential components of Th1- and Th2-mediated responses via the re- cruitment of lymphocytes and macrophages. The local expression of homeostatic chemokines in pulmonary also plays an important role in protective immune responses. Thus, it is important to understand the potential role of CCRs in respira- tory diseases and it may provide exciting new targets for therapeutic intervention.
Modular multilevel converter electrical circuit model for HVdc applications

Several MMC models are present in the literature. The suitable converter model used depends on the studies that must be performed. The work presents a simplified electrical equivalent model for the Modular Multilevel Converter (MMC) which can be used for ac power flow and fault studies. The total energy that is stored in the MMC submodules is modelled as an equivalent capacitor. Also, decouples the converter DC link from the equivalent arm capacitors voltages and allows the MMC arm's energy balance. The proposed electrical model was tested and compared with the existent literature data equivalent model (DEM) under different operating conditions. The mean percentage deviations between the signals retrieved by both models shows the higher deviation less than 1.1%. Besides very accurate, the presented model reveals to save around 72% of computational time leading to a faster model.
Meeting the Needs of All Students: Contributions of Effective School Leaders

A policy implementation study1 was undertaken in 65 schools in order to explore practices and outcomes related to state policies requiring schools to establish comprehensive educational support systems and teams. The purpose of these systems and teams was to enhance the capacity of schools to support students with diverse needs in general education classrooms to the greatest extent possible. A focus of the study related to the ways in which school principals played a role in facilitating the development of effective support systems and teams. The following four themes related to school leadership emerged in schools identified as the most highly developed in their efforts to support all students: (1) fostering shared vision, planning, and decision-making processes; (2) creating collaborative structures and processes; (3) using data to make decisions about curriculum and instruction; and (4) understanding and utilizing policy to create comprehensive school and districtwide systems. Each of these themes points to potential implications for the content and approaches used in leadership preparation programs.
Bone Histology Confirms Determinate Growth and Small Body Size in the Noasaurid Theropod Masiakasaurus knopfleri

ABSTRACT Noasauridae is a clade of ceratosaurian theropods that evolved small body size independently of other nonavian theropods. The best-preserved and most complete noasaurid is Masiakasaurus knopfleri from the Maastrichtian-aged Maevarano Formation in Madagascar. An abundance of skeletal material from several individuals spanning a wide range of ontogeny makes Masiakasaurus an ideal candidate for the analysis of growth. We histologically sampled a growth series of elements consisting of four femora and three tibiae. Bright-field and circularly polarized light microscopy were used to distinguish between slowly and rapidly growing forms of bone. To simultaneously estimate age at death and reconstruct growth trajectories, we measured the perimeters of growth lines in each specimen and fitted models to these data using a novel application of mixed-effects regression. Our histological results show an external fundamental system in the largest tibial specimen and confirm that Masiakasaurus grew determinately, matured at small body size, and is not the juvenile form of a larger-bodied theropod. Parallel-fibered bone is unusually prominent and suggests relatively slow growth. Moreover, our quantitative analysis shows that the average individual took about 8-10 years to get to the size of a large dog. Although Masiakasaurus grew 40% faster than crocodylians, it grew about 40% slower than comparably sized non-avian theropods. Slowed growth may have evolved as a means to minimize structural and maintenance costs while living in a semiarid and seasonally stressful environment. Dimorphism does not appear related to asymptotic size or growth rate but seems to reflect the degree of skeletal maturity. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline. com/UJVP
Spectrum sense utilizing multi-antenna beams scanning in cognitive radio networks

Spectrum sensing is one of the most important functions for cognitive radio. The performance of some sensing techniques like energy detection is determined by receiving signal to noise ratio (SNR). We applies antenna array using multiple beams to primary user detection. Whole space around cognitive user is divided into several subspaces for multiple beams. The directional beam can improve spectrum sensing performance by increasing receiving SNR. Moreover the approximate direction information of primary user can also be acquired after sensing. The beamformer used here doesn't require channel information and is pre-specified without much computation. The mathematic analysis is given for energy detection using directional beam under different channels. The simulation results prove the performance promotion.
The Development of Localized Algorithms in Wireless Sensor Networks

Advances in sensor technology and wireless communications have made networked microsensors possible, where each sensor individually senses the environment but collaboratively achieves complex information gathering and dissemination tasks. These networked sensors, however, possess several characteristics that have challenged many aspects of traditional computer network design, such as the scalability issue caused by the sheer amount of sensor nodes, the infrastructureless network, and the stringent resource onboard the sensors. These new features call for a re-design of overall structure of applications and services. It has been widely accepted that practical localized algorithms is probably the best solution to wireless sensor networks. In this article, we discuss recent research results on localized algorithms design in supporting services and applications in sensor networks.
The Dynamic Link between Energy Consumption, Economic Growth, Financial Development and Trade in China: Fresh Evidence from Multivariate Framework Analysis

This study investigates the relationship between energy consumption and economic growth by incorporating financial development, international trade and capital as important factors of production function in case of China over the period of 1971-2011. The ARDL bounds testing approach to cointegration was applied to examine long run relationship among the series while stationarity properties of the variables was tested by applying structural break test. Our empirical evidence confirmed long run relationship among the variables. The results showed that energy consumption, financial development, capital, exports, imports and international trade have positive impact on economic growth. The Granger causality analysis revealed that unidirectional causal relationship running from energy consumption to economic growth. Financial development and energy consumption Granger cause each other. There is bidirectional causality between trade and energy consumption. The feedback relation exists between financial development and international trade. There is also bidirectional causality exists between capital and energy consumption, financial development and economic growth and, international trade and economic growth. This paper makes significant contribution in energy literature and opens up new direction for policy makers to explore new and alternative sources of energy to meet the rising demand of energy due to sustained rate of economic growth.
Control strategies for ammonia violations removal in BSM1 for dry, rain and storm weather conditions

This paper presents a proposal with the objective of eliminating violations of ammonia nitrogen in the effluent (NHe) of a wastewater treatment process. Furthermore, improving effluent quality and reducing operating costs and the percentage of violations of total nitrogen in the effluent (Ntot,e) are also considered. The evaluation of control strategies are conducted with the Benchmark Simulation Model No 1 (BSM1). Several controllers have been proposed: Model Predictive Control (MPC) with inlet flow rate feedforward compensation (MPCFF), Fuzzy controller and Exponential, Linear and Affine Functions. MPCFF and Fuzzy controller are applied in a hierarchical structure to improve effluent quality, to reduce operational costs and to decrease NHe peaks. Exponential, Linear and Affine Functions are implemented, along with the hierarchical control structure, to avoid NHe violations. The results are presented and compared with the default control strategy of BSM1 for dry, rain and storm weahter conditions. They show that the NHe violation removal is achieved for the three weather conditions. For dry influent also an improvement of effluent quality and a reduction of operational cost are acquired. For the rain and storm cases, an increment of operational cost is required.
Finding and Keeping the Best: A Rural Regional Partnership for Recruiting and Retaining Teachers for Children with High-Incidence Disabilities. Final Performance Report, December 1, 1998 through December 31, 2001.

California State University, Chico, and 47 rural school districts in northeastern. California collaborate on an on-the-job teacher preparation program designed to alleviate the shortage of qualified special education teachers and reduce teacher isolation. The university provides televised or Web-based courses, regional supervision, and separate course sections for interns. Public schools guarantee 10 paid release days annually to attend classes. Tuition stipends, mentors, and evaluation are supported through state and federal grants. This program's unique features include inter-institutional processes, cohort formation, accessible and relevant information, electronic network connection, and intern teacher support. Evaluation findings indicate a significant increase in graduates' ability to teach and work with pupils, parents, and other teachers. Graduate retention rates exceed state and national levels for rural special educators. A major challenge identified was challenging working conditions--special education teachers, particularly in rural settings, deal with pupils who have severe learning and emotional difficulties in mainstreamed settings that do not always meet pupil needs. Perhaps the most significant lesson learned in the rural partnership was the importance of building and maintaining personal relationships across the vast region. Building such relationships takes time but is key to a successful partnership. Funding sources, legislators, and participants need to recognize that it takes 3-5 years for such a collaborative partnership to show results. (TD) Reproductions supplied by EDRS are the best that can be made from the original document.
Generating Extraction-Based Summaries from Hand-Written Summaries by Aligning Text Spans

Human-quality text summarization systems based on sentence extraction are difficult to design because documents can differ along several dimensions, such as length, writing style and lexical usage. The lack of suitable corpor a f extraction-based summaries makes it difficult to evaluate a nd improve existing algorithms. However, there are a large num ber of hand-written (not extraction-based) summaries avai lable for news-wire stories. This paper discusses our work on generating a corpus of approximately 25,000 extractionbased summaries from hand-written summaries. We discuss how text-span alignment can be applied to this problem and how this problem differs from previous work on aligning parallel texts. In addition, we briefly analyze differences bet w en handwritten and extracted summaries.
IMPERIALIST COMPETITIVE ALGORITHM FOR OPTIMAL SIMULTANEOUS COORDINATED TUNING OF DAMPING CONTROLLER

In this paper an evolutionary algorithm named Imperialist Competitive Algorithm (ICA) is employed for simultaneous coordinated tuning of damping controllers for damping the power system low frequency oscillations. ICA is a population-based optimization algorithm inspired by the socio-political process of imperialistic competition. The designing problem is restructured as an optimization problem and a power system stabilizer (PSS) and a supplementary controller for Static Var Compensator (SVC) are designed simultaneously, in 5area 16-machine system. To show the effectiveness of the designed controllers, the study power system is tested under two conditions: applying a line-to-ground fault at a bus and a three phase fault at a bus. Moreover, the results obtained by the ICA are compared with the previous approaches reported in the literature. The simulation results show that the designed controllers have good capability in damping the power systems low frequency oscillations but the ICA performs better than other algorithms.
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning

It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergence of the algorithm. Several specific classes of algorithms are considered as applications. It is found that the results provide (i) a simpler derivation of known results for reinforcement learning algorithms; (ii) a proof for the first time that a class of asynchronous stochastic approximation algorithms are convergent without using any a priori assumption of stability; (iii) a proof for the first time that asynchronous adaptive critic and Q-learning algorithms are convergent for the average cost optimal control problem.
On music’s potential to convey meaning in film: A systematic review of empirical evidence

With its schema-activating potential to influence an audience’s perception and interpretation of film plot and protagonists, film music goes far beyond the role of an emotionalizing accessory in film contexts. For this review, 24 German and English empirical studies that tested music’s potential to convey meaning were identified to be compared in their research questions, the characteristics of their methods, designs, samples, and stimulus materials, as well as main results. Depending on the degree of realism and the abstraction level of the audio-visual stimulus material, differently connoted music or music of different genres trigger supra-individual associations, which make the recipients’ perceptual patterns and evaluations of film plot and protagonists predictable. The review provides a systematization of music’s effects as well as methodological and content-related indications for future research.
Overexpression of Interleukin (IL)-7 Leads to IL-15–independent Generation of Memory Phenotype CD8+ T Cells

Transgenic (TG) mice expressing a high copy number of interleukin (IL)-7 cDNA under the control of the major histocomaptability complex (MHC) class II promoter display a 10–20-fold increase in total T cell numbers. Here, we show that the increase in T cell numbers in IL-7 TG mice is most apparent at the level of memory phenotype CD44hi CD122hi CD8+ cells. Based on studies with T cell receptor (TCR) TG mice crossed to IL-7 TG mice, increased levels of IL-7 may provide costimulation for TCR recognition of self-MHC ligands and thus cause naive CD8+ cells to proliferate and differentiate into memory phenotype cells. In addition, a marked increase in CD44hi CD122hi CD8+ cells was found in IL-7 TG IL-15− mice. Since these cell are rare in normal IL-15− mice, the dependency of memory phenotype CD8+ cells on IL-15 can be overcome by overexpression of IL-7.
Unfinished sympathy: inducements and expectations of client companies towards the temp agency workers they are using

This thesis tries to explore the inducements a client organization offers and the expectations this organization holds towards their used temp agency workers. Inducements and expectations combined are defining parts of the theory of Tsui et al. (1997) en Tsui & Wu (2005. The conclusion, which follows from the ‘employee-organization relationship’ theory, is that client organizations either have a quasi-spot contract or an underinvestment approach towards the temp agency workers they are using. According to Tsui & Wu (2005) the other approaches, mutual investment and overinvestment, are not used with respect to temp agency workers. Those claims are being under investigation in this thesis with the help of semi-structured interviews and a short questionnaire. Five different German companies took part in this study and provided the possibility to conduct 9 interviews with human resource managers and supervisors. The analysis of the interviews and the questionnaire led to the conclusion that most client companies indeed do use the quasi-spot contract or the underinvestment approach towards their temp agency workers. But contradicting information was found in one company where the mutual investment and the overinvestment approach were used. The conclusions for the theory of Tsui et al. (1997) are twofold: On one hand the proposed approaches were found. On the other hand it seems fair to conclude that not every client company treats their temp agency workers in the same way.