Miracle-dz/UniFAR-FTUs huggingface dataset:
A new model for the interaction of dystrophin with F-actin

The F-actin binding and cross-linking properties of skeletal muscle dystrophin-glycoprotein complex were examined using high and low speed cosedimentation assays, microcapillary falling ball viscometry, and electron microscopy. Dystrophin-glycoprotein complex binding to F-actin saturated near 0.042 +/- 0.005 mol/ mol, which corresponds to one dystrophin per 24 actin monomers. Dystrophin-glycoprotein complex bound to F-actin with an average apparent Kd for dystrophin of 0.5 microM. These results demonstrate that native, full-length dystrophin in the glycoprotein complex binds F-actin with some properties similar to those measured for several members of the actin cross-linking super- family of proteins. However, we failed to observe dystrophin- glycoprotein complex-induced cross-linking of F-actin by three different methods, each positively controlled with alpha-actinin. Furthermore, high speed cosedimentation analysis of dystrophin- glycoprotein complex digested with calpain revealed a novel F-actin binding site located near the middle of the dystrophin rod domain. Recombinant dystrophin fragments corresponding to the novel actin binding site and the first 246 amino acids of dystrophin both bound F- actin but with significantly lower affinity and higher capacity than was observed with purified dystrophin-glycoprotein complex. Finally, dystrophin-glycoprotein complex was observed to significantly slow the depolymerization of F-actin, Suggesting that dystrophin may lie along side an actin filament through interaction with multiple actin monomers. These data suggest that although dystrophin is most closely related to the actin cross-linking superfamily based on sequence homology, dystrophin binds F-actin in a manner more analogous to actin side-binding proteins.
The Genesis of Animal Play: Testing the Limits

In The Genesis of Animal Play, Gordon Burghardt examines the origins and evolution of play in humans and animals. He asks what play might mean in our understanding of evolution, the brain, behavioral organization, and psychology. Is play essential to development? Is it the driving force behind human and animal behavior? What is the proper place for the study of play in the cognitive, behavioral, and biological sciences? The engaging nature of play -- who does not enjoy watching a kitten attack a ball of yarn? -- has made it difficult to study. Some scholars have called play undefinable, nonexistent, or a mystery outside the realm of scientific analysis. Using the comparative perspectives of ethology and psychology, The Genesis of Animal Play goes further than other studies in reviewing the evidence of play throughout the animal kingdom, from human babies to animals not usually considered playful. Burghardt finds that although playfulness may have been essential to the origin of much that we consider distinctive in human (and mammalian) behavior, it only develops through a specific set of interactions among developmental, evolutionary, ecological, and physiological processes. Furthermore, play is not always beneficial or adaptive. Part I offers a detailed discussion of play in placental mammals (including children) and develops an integrative framework called surplus resource theory. The most fascinating and most controversial sections of the book, perhaps, are in the seven chapters in part II in which Burghardt presents evidence of playfulness in such unexpected groups of animals as kangaroos, birds, lizards, and "Fish That Leap, Juggle, and Tease. " Burghardt concludes by considering the implications of the diversity of play for future research, and suggests that understanding the origin and development of play can shape our view of society and its accomplishments through history.
Draft Genome Sequence of the Multidrug-Resistant Clinical Isolate Dermabacter hominis 1368

ABSTRACT Dermabacter hominis is a common colonizer of the healthy human skin and is rarely detected as an opportunistic human pathogen. The genome sequence of the multidrug-resistant D. hominis strain 1368, isolated from blood cultures of a pyelonephritis patient, provides insights into the repertoire of antibiotic resistance genes.
Application of Modified Genetic Algorithm in Feature Extraction of the Unstructured Data

Since unstructured data’s quantity is huge and the form is not disunity, thus the extent mining algorithms are hard to mine them. This paper supposes a modified genetic algorithm which extracts the feature from the unstructured data in a high efficiency and makes the further mining conveniently. First of all, it discusses the characteristic of the unstructured data, and then introduces the preprocess of it such as word segmentation, establishing the stop words table and feature extraction. Furthermore, the modified genetic algorithm’s operation such as selection¿crossover as well as mutation is presented. Finally, the test of result of this modified genetic algorithm is shown, and the test result has proven that the algorithm is effective.
On the Convergence of Symmetrically Orthogonalized Bounded Component Analysis Algorithms for Uncorrelated Source Separation

Bounded Component Analysis (BCA) has recently been introduced as an alternative linear decomposition scheme. In this approach the boundedness property of sources is exploited to replace the usual independence assumption with a weaker assumption, which enables development of methods to separate both independent and dependent components from their mixtures. This paper positions total output range minimization based blind source separation approach as a BCA method for the separation of uncorrelated sources. It is shown that the global minimizers of the corresponding optimization problem are the perfect separators. Furthermore, a stationary point analysis for the corresponding algorithms based on symmetrical orthogonalization is provided. The main result of this analysis is that the range minimization based parallel BCA algorithm and the kurtosis maximization based Independent Component Analysis algorithm have related set of identified stationary points.
Endoplasmic reticulum stress signaling transmitted by ATF6 mediates apoptosis during muscle development

Although apoptosis occurs during myogenesis, its mechanism of initiation remains unknown. In a culture model, we demonstrate activation of caspase-12, the initiator of the endoplasmic reticulum (ER) stress-specific caspase cascade, during apoptosis associated with myoblast differentiation. Induction of ER stress-responsive proteins (BiP and CHOP) was also observed in both apoptotic and differentiating cells. ATF6, but not other ER stress sensors, was specifically activated during apoptosis in myoblasts, suggesting that partial but selective activation of ER stress signaling was sufficient for induction of apoptosis. Activation of caspase-12 was also detected in developing muscle of mouse embryos and gradually disappeared later. CHOP was also transiently induced. These results suggest that specific ER stress signaling transmitted by ATF6 leads to naturally occurring apoptosis during muscle development.
On the throughput scaling of wireless relay networks

The throughput of wireless networks is known to scale poorly when the number of users grows. The rate at which an arbitrary pair of nodes can communicate must decrease to zero as the number of users tends to infinity, under various assumptions. One of them is the requirement that the network is fully connected: the computed rate must hold for any pair of nodes of the network. We show that this requirement can be responsible for the lack of throughput scalability. We consider a two-dimensional (2-D) network of extending area with only one active source-destination pair at any given time, and all remaining nodes acting only as possible relays. Allowing an arbitrary small fraction of the nodes to be disconnected, we show that the per-node throughput remains constant as the network size increases. As a converse bound, we show that communications occurring at a fixed nonzero rate imply a fraction of the nodes to be disconnected. Our results are of information theoretic flavor, as they hold without assumptions on the communication strategies employed by the network nodes.
Effect of 3 D Structure on Motion Segmentation

A smooth surface imaged on the retina produces a smooth flow field. Thus, the visual system may group regions of smoothly varying flow to segment surfaces. We tested this idea by having observers perform a segmentation task on several stimuli that differed in their 3D interpretations but were all matched in the smoothness of their 2D flow fields. Performance varied across conditions with the best performance occurring when the stimulus simulated a rigid plane. This result suggests that while observers may use deviations from smoothness to segment a broad class of motion stimuli, they use a more precise strategy to segment stimuli with a familiar 3D interpretation.
Streaming meshes

Recent years have seen an immense increase in the complexity of geometric data sets. Today's gigabyte-sized polygon models can no longer be completely loaded into the main memory of common desktop PCs. Unfortunately, current mesh formats, which were designed years ago when meshes were orders of magnitudes smaller, do not account for this. Using such formats to store large meshes is inefficient and complicates all subsequent processing. We describe a streaming format for polygon meshes that is simple enough to replace current offline mesh formats and is more suitable for representing large data sets. Furthermore, it is an ideal input and output format for I/O-efficient out-of-core algorithms that process meshes in a streaming, possibly pipelined, fashion. This paper chiefly concerns the underlying theory and the practical aspects of creating and working with this new representation. In particular, we describe desirable qualities for streaming meshes and methods for converting meshes from a traditional to a streaming format. A central theme of this paper is the issue of coherent and compatible layouts of the mesh vertices and polygons. We present metrics and diagrams that characterize the coherence of a mesh layout and suggest appropriate strategies for improving its "streamability". To this end, we outline several out-of-core algorithms for reordering meshes with poor coherence, and present results for a menagerie of well known and generally incoherent surface meshes.
Decision Support for Increasing the Efficiency of Crowdsourced Software Development

Crowdsourced software development (CSD) offers a series of specified tasks to a large crowd of trustworthy software workers. Topcoder is a leading platform to manage the whole process of CSD. While increasingly accepted as a realistic option for software development, preliminary analysis on Topcoder's software crowd worker behaviors reveals an alarming task-quitting rate of 82.9%. In addition, a substantial number of tasks do not receive any successful submission. In this paper, we report about a methodology to improve the efficiency of CSD. We apply massive data analytics and machine leaning to (i) perform comparative analysis on alternative technique analysis to predict likelihood of winners and quitters for each task, (ii) significantly reduce the amount of non-succeeding development effort in registered but inappropriate tasks, (iii) identify and rank the most qualified registered workers for each task, and (iv) provide reliable prediction of tasks risky to get any successful submission. Our results and analysis show that Random Forest (RF) based predictive technique performs best among the alternative techniques studied. Applying RF, the tasks recommended to workers can reduce the amount of non-succeeding development effort to a great extent. On average, over a period of 30 days, the savings are 3.5 and 4.6 person-days per registered tasks for experienced resp. unexperienced workers. For the task-related recommendations of workers, we can accurately recommend at least 1 actual winner in the top ranked workers, particularly 94.07% of the time among the top-2 recommended workers for each task. Finally, we can predict, with more than 80% F-measure, the tasks likely not getting any submission, thus triggering timely corrective actions from CSD platforms or task requesters.
Purification of Fetal Cells from Maternal Blood Using an Avidin‐Biotin Immunoaffinity Column

The occurrence of fetal cells in the maternal circulation of pregnant women has been observed by various techniques over the last 25 years. '-' Recently, efforts have been made to obtain such fetal cells with yields sufficient to use as a diagnostic supplement and possibly an eventual replacement for amniocentesis and chorionic villus sampling (CVS). 4.5 The majority of research on the isolation of fetal cells from maternal blood has been accomplished using the fluorescence-activated cell sorter (FACS), but there are several drawbacks to using this instrument that hinder its use for this application. In such an application, in which many samples with large numbers of cells will need to be processed rapidly, the cell sorter will be limited by the number of cells it can sort per hour, by the cost of the machine, by the requirement for a technically skilled operator, and by problems of sample cross-contamination. We have employed an avidin-biotin immunoaffinity column as a means of selecting fetal cells from maternal blood. The CellPro immunoaffhity device selects target cells based on the antibody-mediated binding of those cells to a solid-phase column. In this cell selection method, a cell mixture is incubated with a biotin-conjugated monoclonal antibody that recognizes an antigen specific to the target cell type. The cell suspension is passed through a column containing avidin-coated beads. The strong affinity between avidin and biotin causes the biotinylated-antibody-coated target cells to adhere to the avidin-coated beads. Unbound, nontarget cells are washed through the column and discarded, and the captured cells are removed by gentle agitation of the column bed. This method is rapid and inexpensive and is able to process I x 108 cells per sample in less than half an hour, making it easily adaptable to a clinical setting.
Research trends in rehabilitation program for disabled applying virtual reality technology in Korea

Abstract The purpose of this study was to investigate the trends in research on the effects of virtual reality technology applied to rehabilitation for disabled. I have collected 60 papers published in Korea(2000-2014), and analyzed it by the P.I. C.O. method. As a result, adults and the elderly are most common subjects, and projection type has been used frequently in researches. It were included mostly balance, upper extremity function, and gait that the dependent variables represents the intervention effects. I interpreted it as the ICF factors. So, research topics were the most common mobility, in contrast to educational, vocational, recreational area as dealing with the participation area is very small. In the future, we should focused on social aspects for useful intervention in real life of people with disabilities based on virtual reality technology, and virtual reality technology should be easy to apply in terms of cost and accessibility. Key Words : Virtual reality, Disabilties, Rehabilitation, Research Trends, ICF
Exploring Responsibility : Public and Private in Human Rights Protection

The theory and practice of international relations are replete with dilemmas related to the distribution of responsibility for human rights protection. Institutionalized notions of public and private empower and shape knowledge of what the spheres of responsibility signify for different kinds of actors. This study examines how the public-private distinction is manifested in controversy concerning the character of corporate social responsibility. The study develops a conceptual framework centered on the public-private distinction and the concept of responsibility, drawing attention to the ambiguous and political character of the distinction. Through the analytical prism of the framework, debates concerning responsibility in the case of transnational oil corporations operating in zones where human rights violations are committed by governments are studied. A closer examination is undertaken of the controversy surrounding a Canadian headquartered oil company that operated in Sudan between 1998 and 2002. A range of political, legal and moral tensions arise from boundary-drawing processes between public and private in debates on the distribution of responsibility for human rights protection. The boundary between public and private responsibility is found to be a site of struggle, leading to charges of complicity in human rights abuse. Reconfigurations of authority and power relations question the state-centric focus of the international human rights regime. In the study is discerned an emerging global public domain of action where nonstate actors such as transnational corporations and advocacy NGOs interact and set agendas and standards. The pluralization of authority relations in webs of global governance and the expansion of private sector self-regulation challenge the association of authority with public actors that are accountable through political institutions. This diversification of authority relations is scrutinized in light of the principle of democratic accountability and legitimacy. Efforts at self-regulation, as well as the development of mechanisms for holding transnational corporations accountable for their impact on social conditions, expand the terrain of accountability in zones of human rights violations where transnational corporations are present. This indicates that the territorial boundaries of accountability systems related to human rights are becoming recast into a less territorially defined transnational sphere of action, influence, contestation and answerability. The analysis demonstrates that the study of responsibility, accountability and authority in the field of international relations is confronted with new challenges through the examination of corporate social responsibility in a global governance setting.
Stereo-Based Pedestrian Detection for Collision-Avoidance Applications

Pedestrians are the most vulnerable participants in urban traffic. The first step toward protecting pedestrians is to reliably detect them. We present a new approach for standing- and walking-pedestrian detection, in urban traffic conditions, using grayscale stereo cameras mounted on board a vehicle. Our system uses pattern matching and motion for pedestrian detection. Both 2-D image intensity information and 3-D dense stereo information are used for classification. The 3-D data are used for effective pedestrian hypothesis generation, scale and depth estimation, and 2-D model selection. The scaled models are matched against the selected hypothesis using high-performance matching, based on the Chamfer distance. Kalman filtering is used to track detected pedestrians. A subsequent validation, based on the motion field's variance and periodicity of tracked walking pedestrians, is used to eliminate false positives.
Exam-oriented education and implementation of education policy for migrant children in urban China

This paper investigates the implementation of education policy for migrant children in urban China. Historically, rural and urban residents in China were separated by the hukou system, and rural children were not allowed to attend urban schools. Since the relaxation of the hukou system in the early 1980s, large numbers of rural families migrated to cities. The right of migrant children to education in urban China was formally recognised by the government in a series of policies starting in 2001. The research reported, here, reveals that migrant children did not have equal access to urban schools nor did they enjoy an equally good education to that of urban children. Based on 53 in-depth interviews with school principals, teachers and pupils in two provincial capitals in China, this paper explores the main factors affecting the implementation of education policy for migrant children. The research demonstrates that policies relating to equal admissions criteria were not implemented as intended, with migrant children not having equal access to schools. However, policies relating to non-segregation and academic support were implemented as intended. It is argued that, at the school level, this is a result of the examination-oriented system, and schools’ responses to this.
Midair Displays: Concept and First Experiences with Free-Floating Pervasive Displays

Due to advances in technology, displays could replace literally any surface in the future, including walls, windows, and ceilings. At the same time, midair remains a relatively unexplored domain for the use of displays as of today, particularly in public space. Nevertheless, we see large potential in the ability to make displays appear at any possible point in space, both indoors and outdoors. Such displays, that we call midair displays, could control large crowds in emergency situations, they could be used during sports for navigation and feedback on performance, or as group displays. We see midair displays as a complementary technology to wearable displays. In contrast to statically deployed displays they allow information to be brought to the user anytime and anywhere. We explore the concept of midair displays and show that with current technology, e.g., copter drones, such displays can be easily built. A study on the readability of such displays showcases the potential and feasibility of the concept and provides early insights.
The values of the traditional culinary practices towards the modernization as perceived by the Malay chefs in Klang Valley.

The central question to be examined in this study is associated with the value of the Malays traditional culinary practices of Malay chef in preparing the traditional food in Malaysian hotels. Present understanding highlighted that hotels are giving high priority on their superior services, such as luxury accommodations and intimate hospitalities. As such, promoting local foods in their dining establishment has taken a back seat. Research from past scholars indicated that hotel in Malaysia can be the one stop center for the local and international tourists to get the first hand information about local food specialities. On the hindsight, very limited efforts have been put into practice on the promotions of local food especially Malay cuisines in hotels. Main issue such as mass-produced Malay cuisines in the commercial kitchens, for example, should be highlighted to ensure that hotels are not jeopardizing the originality of traditional food preparations. Therefore, a qualitative reasearch focusing in in-depth interview with 10 Malay chefs was conducted in hotels around the Klang Valley. The results are so profound that majority of the Malay chefs under study shared similar understandings on technology advancements and modernizations that have taken place in their daily food preparations. Another finding revealed that one of the most challenging factors in preventing the Malay chefs to prepare the Malay food as it has been done traditionally is the attitude and awareness of the young generations to understand the values in traditional culinary practices. This study concludes with suggestion that aggressive knowledge sharing and information dissemination among the Malay chefs in hotels are needed to effectively market the traditional Malay food.