Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Common Regulators of Genes in Co-Expression Networks Affecting Muscle and Meat Properties

Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network analysis (WGCNA) groups genes into modules based on patterns of co-expression, which can be linked to phenotypes by correlation analysis of trait values and the module eigengenes, i.e. the first principal component of a given module. Network hub genes and regulators of the genes in the modules are likely to play an important role in the emergence of respective traits. In order to detect common regulators of genes in modules showing association with meat quality traits, we identified eQTL for each of these genes, including the highly connected hub genes. Additionally, the module eigengene values were used for association analyses in order to derive a joint eQTL for the respective module. Thereby major sites of orchestrated regulation of genes within trait-associated modules were detected as hotspots of eQTL of many genes of a module and of its eigengene. These sites harbor likely common regulators of genes in the modules. We exemplarily showed the consistent impact of candidate common regulators on the expression of members of respective modules by RNAi knockdown experiments. In fact, Cxcr7 was identified and validated as a regulator of genes in a module, which is involved in the function of defense response in muscle cells. Zfp36l2 was confirmed as a regulator of genes of a module related to cell death or apoptosis pathways. The integration of eQTL in module networks enabled to interpret the differentially-regulated genes from a systems perspective. By integrating genome-wide genomic and transcriptomic data, employing co-expression and eQTL analyses, the study revealed likely regulators that are involved in the fine-tuning and synchronization of genes with trait-associated expression.
Pediatricians' recommendations for complementary and alternative medical (CAM) therapies.

OBJECTIVES Increasing numbers of children use complementary and alternative medicine (CAM). The purpose of this project was to assess pediatricians' attitudes and recommendations regarding CAM. METHODS This was a national survey sent to a random sample of active members of the American Academy of Pediatrics (AAP). The survey was 8 pages long and included questions on demographic and practice characteristics, attitudes about CAM, and 3 clinical vignettes asking what therapies physicians recommended in these situations. RESULTS The 745 eligible respondents were demographically similar to the national AAP membership. Most (87%) had been asked about CAM by a patient/parent in the 3 months prior to the survey and 34% said they or an immediate family member had used CAM in the past year. Most (66%) believed that CAM therapies could enhance recovery or relieve symptoms, but even more were concerned about possible side effects (75%) or that CAM use might delay mainstream care (74%). Only 20% routinely asked patients/parents about their use of herbs, and fewer asked about other CAM therapies. Fewer than 5% felt very knowledgeable about individual CAM therapies. For the clinical vignettes, pediatricians were far more likely to recommend medications than any CAM therapy. Over 80% of pediatricians desired additional information on CAM; the highest priorities were information about herbs, dietary supplements, nutritional therapies, and therapeutic exercise. CONCLUSIONS Pediatricians recognize that many patients are interested in using CAM therapies, but do not feel comfortable discussing or recommending CAM therapies. Pediatricians are very interested in learning more about CAM.
A high throughput ASIC design for IPv6 routing lookup system

This paper presents a cache-centric, hash-based architecture within a application specific integrated circuit (ASIC) implementation for IPv6 routing lookup system. In ASIC, the binary content addressable memory (BCAM) as cache memory has a hit ratio of up to 80% with a FIFO replacement algorithm. A hash function is used to reduce lookup time for the routing table and ternary content addressable memory (TCAM) effectively resolves the collision problem. The results of postlayout simulations show that the ASIC operates in 3.6ns so that the routing lookup system approaches 260 Mega lookups per second (Mlps), which is sufficient for 100 Gbps networks. The routing table only needs 10.24KB on-chip BCAM, 20.04KB offchip TCAM and 29.29MB DRAM for 3.6M routing entries in the proposed system.
A Novel Search Engine Based on Social Relationships in Online Social Networking Website

In recent years, social networking sites have becoming important platforms for users to establish the relationships between each other. As time goes by, the links between people will form the so-called "Strong Links". For those users, information provided by the friends with strong link is considered as more interesting and useful. Most of recent search engines are designed based on only measuring the similarity between keywords and articles. However, the social relations between authors of articles and searcher have not been taken into account in recent research. Therefore, in order to improve the performance of recent search engines, we include the measurement of social relationships in search engine and expect the search quality can be improved. In this study, we collected the data from Facebook to calculate the social relationship. About the content, the data will be processed by using CKIP (Chinese word net) and TF-IDF. Finally, we combine key-word frequency and social relations as a value, which is called the Social Ranking vaule. The value will be used as the key to rank the search results. In this paper, we will also demonstrate a real example to explain the proposed methodology as well as a system interface.
Self-Explanatory Financial Planning Models

A financial model is a representation of the activities of a business in terms of quantitative relationships among variables that can help an analyst understand the financial consequences of past activities or assumed future activities. The equations comprising such models form a kind of knowledge base which can be used to generate explanations. In this paper we give some background on financial models, discuss two sorts of explanations in this domain, and present a procedure for explaining model results.
Musical behaviours of primary school children in Singapore

In this ethnographic study, the musical behaviours of 28 primary school children in Singapore were examined for their meaning and diversity as they engaged in the school day. A large part of these children's musical behaviours stemmed from their exposure to the mass media. Children's musical inventions emerged in the context of play, occasionally using musical play as an aid to academic learning. Instances of rhythmic play were more prevalent compared with melodic utterances. The children tended to motivate and encourage each other in their daily activities through the use of rhythmic play while melodic utterances seemed more prominently tied to expression and communication.
Evaluation of sorghum flour functionality and quality characteristics of gluten-free bread and cake as influenced by ozone treatment

Commercially milled food-grade sorghum flour was subjected to ozone at the rate of 0.06 L/min for 15, 30, and 45 min. The pH of ozone-treated flour decreased as exposure time increased. The L* (lightness) values of sorghum flour significantly increased (p < 0.05), while the b* (yellowness) values significantly decreased as ozone exposure time increased. Peak viscosity significantly increased as time of ozonation increased from 0 to 45 min. Results showed that gluten-free cake volume significantly increased as ozonation time increased. Additionally, longer ozonation exposure times increased cells per slice area, lightness, and slice brightness values in gluten-free cakes while reducing crumb firmness. Despite improving lightness and slice brightness values, ozonation did not significantly increase the specific volume of gluten-free batter-based bread. While ozonation improved the volume and texture in cakes, it did not have the same positive effects on gluten-free bread. Bread made from ozonated sorghum flour had an open ragged structure with equivalent volume to the control flour. In both applications, the increased brightness and lightness values due to ozone exposure is recommended to increase the acceptability of sorghum products.
Systematically Dissecting the Global Mechanism of miRNA Functions in Pluripotent Stem Cells

MicroRNAs (miRNAs) critically modulate stem cell properties like pluripotency, but the fundamental mechanism remains largely unknown. This study systematically analyzes multiple-omics data and builds a systems physical network including genome-wide interactions between miRNAs and their targets to reveal the systems mechanism of miRNA functions in mouse pluripotent stem cells. Globally, miRNAs directly repress the pluripotent core factors during differentiation state. Surprisingly, during pluripotent state, the top important miRNAs do not directly regulate the pluripotent core factors as thought, but they only directly target the pluripotent signal pathways and directly repress developmental processes. Furthermore, at pluripotent state miRNAs predominately repress DNA methyltransferases, the core enzymes for DNA methylation. The decreasing methylation repressed by miRNAs in turn activates the top miRNAs and pluripotent core factors, creating an active circuit system to modulate pluripotency. MiRNAs vary their functions with different stem cell states. While miRNAs directly repress pluripotent core factors to facilitate the differentiation during cell differentiation, they also help stem cells to maintain pluripotency by activating pluripotent cores through directly repressing DNA methylation systems and primarily inhibiting development.
‘Seyiyakhuluma’: IsiZulu as a new language for political and corporate mass communication through mobile telephony

Jacob Zuma's political and personal escapades have unleashed in unprecedented forms a mobile phone culture that has for the first time transgressed dominant European linguistic boundaries. From the moment of a build-up of his case on alleged involvement in the arms deal scandal and subsequent firing from the vice-presidency, the rape case and the Polokwane fall-out between Zuma and Mbeki's supporters, mobile ringtones and communication between users predominantly moved beyond English or Afrikaans linguistic boundaries. Ringtones of songs, popularised by a maskandi musical group, Izingane zoMa, later used by the ‘friends of Jacob Zuma’ as income generation strategies in order to pay for his many court cases, were distributed and circulated through a network of mobile phone users in isiZulu language. The success of isiZulu-language ringtones spurred on further experimentations with other forms of broad-based communication models using this new media form. The company, Peach Mobile, which describes itself in its webpage as the creators of the ‘most insane mobile content and comedy tones’, was the next conspicuous entity to offer some of its funniest ringtones in isiZulu language. From then on a host of other companies ranging from record companies to life and burial insurance companies such as Clientele, started to offer mobile content in isiZulu language. This article, in line with recent studies on mobile phone culture, demonstrates, firstly, how the ‘unofficial’ mass communication form embodied in this technology has been made to foster alternative perceptions which were in line with mass perception about Zuma, thereby contributing to unsettling and derailing scathing mainstream media perspectives of him. Secondly, it also demonstrates how this new form of mobile telephony has been appropriated and used by corporate South Africa to exploit certain marginal cultural notions – related to life, death and spirituality, for the improved penetration of remote and initially excluded markets and for the maintenance of a brand presence even if it is outside mainstream advertising space.
Assessment of learners' organised knowledge structures in adaptive learning environments

Organised knowledge structures (schemas) in long-term memory (LTM) alter the characteristics of working memory (WM). Therefore, tracing the content of WM during problem solving may provide a measure of levels of acquisition of corresponding schematic knowledge structures. In this paper, a proposed rapid approach to diagnostic assessment of levels of acquisition of organised domain-specific knowledge structures has been used as a means of optimising cognitive load by tailoring instructions to levels of learner expertise in an adaptive computer-based tutor in kinematics. Two alternative adaptation procedures were compared to the control condition without an adaptation. The first procedure used only results of learners' rapid test performance, and the second one combined rapid measures of performance with measures of mental load. The study indicates that the developed assessment instruments could be embedded into adaptive e-learning packages as diagnostic tools for tailoring instructional materials to changing levels of student expertise in cognitively optimal ways. Copyright © 2006 John Wiley & Sons, Ltd.
Genetic determinism of fiber type proportion in human skeletal muscle

Skeletal muscle fiber type distribution is quite heterogeneous, with about 25% of North American Caucasian men and women having either less than 35% or more than 65% of type I fiber in their vastus lateralis muscle. To what extent human skeletal muscle fiber type proportion is under the control of genetic factors is examined in this paper. The results summarized here suggest that about 15% of the total variance in the proportion of type I muscle fibers in human is explained by the error component related to muscle sampling and technical variance, that about 40% of the phenotype variance is influenced by environmental factors, and the remaining variance (about 45%) is associated with inherited factors. These estimates suggest that a difference of about 30% in type I fibers among individuals could be explained exclusively by differences in the local environment and level of muscular contractile activity. However, unidentified genetic factors would have to be invoked to account for the observation that the skeletal muscle of about 25% of the North American Caucasian population have either less than 35% or more than 65% of type I fibers. —Simoneau, J.‐A. , Bouchard, C. Genetic determinism of fiber type pro‐portion in human skeletal muscle. FASEB J. 9, 1091‐1095 (1995)
Cable Insulation Scheme to Improve Heat Transfer to Superfluid Helium in Nb-Ti Accelerator Magnets

In superconducting magnets operating at high heat loads as the ones for interaction region of particle colliders or for fast cycling synchrotrons, the limited heat transfer capability of state-of-the-art electrical insulation may constitute a heavy limitation to performance. In the LHC main magnets, Nb-Ti epoxy-free insulation, composed of polyimide tapes, has proved to be permeable to superfluid helium, however the heat flux is rather limited. After a review of the standard insulation scheme for Nb-Ti and of the associated heat transfer mechanisms, we show the existence of a large margin available to improve insulation permeability. We propose a possible way to profit of such a margin in order to increase significantly the maximum heat flux drainable from an all polyimide insulated Nb-Ti coil, as it is used in modern accelerator magnets.
Joint Rhythmic Movement Increases 4-Year-Old Children’s Prosocial Sharing and Fairness Toward Peers

The allocation of resources to a peer partner is a prosocial act that is of fundamental importance. Joint rhythmic movement, such as occurs during musical interaction, can induce positive social experiences, which may play a role in developing and enhancing young children’s prosocial skills. Here, we investigated whether joint rhythmic movement, free of musical context, increases 4-year-olds’ sharing and sense of fairness in a resource allocation task involving peers. We developed a precise procedure for administering joint synchronous experience, joint asynchronous experience, and a baseline control involving no treatment. Then we tested how participants allocated resources between self and peer. We found an increase in the generous allocation of resources to peers following both synchronous and asynchronous movement compared to no treatment. At a more theoretical level, this result is considered in relation to previous work testing other aspects of child prosociality, for example, peer cooperation, which can be distinguished from judgments of fairness in resource allocation tasks. We draw a conceptual distinction between two types of prosocial behavior: resource allocation (an other-directed individual behavior) and cooperation (a goal-directed collaborative endeavor). Our results highlight how rhythmic interactions, which are prominent in joint musical engagements and synchronized activity, influence prosocial behavior between preschool peers.
Effective Ontology Learning : Concepts' Hierarchy Building using Plain Text Wikipedia

Ontologies stand in the heart of the Semantic Web. Nevertheless, heavyweight or formal ontologies’ engineering is being commonly judged to be a tough exercise which requires time and heavy costs. Ontology Learning is thus a solution for this exigency and an approach for the ‘knowledge acquisition bottleneck’. Since texts are massively available everywhere, making up of experts’ knowledge and their know-how, it is of great value to capture the knowledge existing within such texts. Our approach is thus an interesting research work which tries to answer the challenge of creating concepts’ hierarchies from textual data. The significance of such a solution stems from the idea by which we take advantage of the Wikipedia encyclopedia to achieve some good quality results.
Analysis of Clustering Techniques on Big Data

In this In today&apos;s era data generated by scientific applications and corporate environment has grown rapidly not only in size but also in variety. This data collected is of huge amount and there is a difficulty in collecting and analyzing such big data. Data mining is the technique in which useful information and hidden relationship among data is extracted, but the traditional data mining approaches cannot be directly used for big data due to their inherent complexity. Cluster analysis is used to classify similar objects under same group. It is one of the most important data mining methods. However, it fails to perform well for big data due to huge time complexity. For such scenarios parallelization is a better approach. Map reduce is a popular programming model which enables parallel processing in a distributed environment. In this paper to propose system for analyze the performance of two clustering techniques on big dataset. The goal of this paper is to find better clustering technique between K-Medoid and
Practical Engagements and Co-Created Research

In this essay we foreground the value of engaging meaningfully with practitioners in our work. We review research by scholars whose work cuts across topics and contexts to gain insight into the power and practice of human communication as it shapes the world in which we live-highlighting work that is at its best because of its co-creation with practitioners. We propose five key features that provide a simple yet robust framework for developing and assessing the quality and value of engaged scholarship. Our thesis is that the best engaged scholarship may or may not be widely disseminated, but it is widely owned by co-creators who believe in its purpose and product.
Spatio-Temporal Analysis of Team Sports

Team-based invasion sports such as football, basketball, and hockey are similar in the sense that the players are able to move freely around the playing area and that player and team performance cannot be fully analysed without considering the movements and interactions of all players as a group. State-of-the-art object tracking systems now produce spatio-temporal traces of player trajectories with high definition and high frequency, and this, in turn, has facilitated a variety of research efforts, across many disciplines, to extract insight from the trajectories. We survey recent research efforts that use spatio-temporal data from team sports as input and involve non-trivial computation. This article categorises the research efforts in a coherent framework and identifies a number of open research questions.
Interdependance of Accounting Data and Stock Prices on the Capital Market: 'Pliva' Case Study

The issue of stock market usefulness is, in fact, related to the specific disclosure environment prevailing in a country. Croatian capital market is underdeveloped and has limited significance in the financial system. This paper deals with the usefulness of financial statement information and it is organized in the following way: in the first part we give a brief overview of capital markets in transition economies, history and regulation of the stock market in Croatia, with particular focus on the Zagreb Stock Exchange. Then, we enumerate the data collection procedure and describe the methodology used to test our hypothesis. We examine the information content of annual earnings announcements through its impact on the stock price movement in the case of Pliva’s ordinary shares, listed on the Quotation I of the Zagreb Stock Exchange. Finally, at the end of the paper we discuss the results and drew conclusions. The evidence suggests that annual earnings announcements made by Pliva convey new and material information to stock market investors, which is reflected in significant changes in stock return.
Legal Knowledge Based Systems

Next to the three parties of the criminal process traditionally considered, viz. the judge, the prosecutor and the suspect, there is fourth party: the victim. We describe a project we carried out for Dutch Victim Support Organization (DVSO). The project deals with the type of tool that should be developed to assist the volunteers of the DVSO to set the amount of damages to be asked from the suspect. Besides reporting on the DVSO-project, we discuss relevant criminal law systems that are grouped by the actual user of the system (judge, prosecutor, suspect). We also address future lines of research: the development of a theoretical framework for sentencing and the incorporation of knowledge management into AI & (criminal) Law research