Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of mRNA Translation by MID1: A Common Mechanism of Expanded CAG Repeat RNAs

Expansion of CAG repeats, which code for the disease-causing polyglutamine protein, is a common feature in polyglutamine diseases. RNA-mediated mechanisms that contribute to neuropathology in polyglutamine diseases are important. RNA-toxicity describes a phenomenon by which the mutant CAG repeat RNA recruits RNA-binding proteins, thereby leading to aberrant function. For example the MID1 protein binds to mutant huntingtin (HTT) RNA, which is linked to Huntington's disease (HD), at its CAG repeat region and induces protein synthesis of mutant protein. But is this mechanism specific to HD or is it a common mechanism in CAG repeat expansion disorders? To answer this question, we have analyzed the interaction between MID1 and three other CAG repeat mRNAs, Ataxin2 (ATXN2), Ataxin3 (ATXN3), and Ataxin7 (ATXN7), that all differ in the sequence flanking the CAG repeat. We show that ATXN2, ATXN3, and ATXN7 bind to MID1 in a CAG repeat length-dependent manner. Furthermore, we show that functionally, in line with what we have previously observed for HTT, the binding of MID1 to ATXN2, ATXN3, and ATXN7 mRNA induces protein synthesis in a repeat length-dependent manner. Our data suggest that regulation of protein translation by the MID1 complex is a common mechanism for CAG repeat containing mRNAs.
Performance analysis of an activity monitoring system using the SPINE framework

SPINE is an Open Source Framework for the design of signal processing intensive (SPI) WSNs. It supports the construction of WSN applications through high-level abstractions and libraries, and allows designers to quickly explore implementation tradeoffs through fast prototyping. This paper describes the architecture of SPINE and presents implementation parameters, such as processing time, memory, bandwidth usage and power consumption that are most relevant for application developers to set tunable parameters and analyze system performance. Finally, the paper presents the performance and the resource usage of a SPINE based posture recognition system for elderly health monitoring.
PENGARUH LATIHAN LINGKARAN PINBALL TEHADAP KETEPATAN PASSING DATAR DALAM PERMAINAN SEPAKBOLA PADA SISWA EKSTRAKURIKULER DI SMK YPS PRABUMULIH

Tujuan penelitian ini adalah untuk mengetahui pengaruh latihan lingkaran pinball terhadap ketepatan passingdatar dalam permainan sepakbola pada siswa ekstrakulikuler di SMK YPS Prabumulih. Metode yang digunakan dalam peneltian ini adalah pre eksperiment dengan desain pre test and post test one group . Subjek dalam penelitian ini adalah seluruh siswa yang mengikuti ekstrakurikuler olahraga permainan sepak bola di SMK YPS Prabumulih dengan jumlah 30 siswa. Cara pengumpulan data dilakukan dengan cara siswa menendang bola kearah dinding yang telah tersedia jarak, ukuran dan sasaran selama 10 detik yang mana jumlah mereka dapat langsung dimasukkan kedalam data. Teknik analisis data yang digunakan dalam peneltian ini adalah tehnik analisis data menggunakan uji t. Berdasarkan hasil dari penelitian yang telah dilakukan dapat disimpulkan bahwa ada pengaruh latihan lingkaran pinball terhadap ketepatan passingdatar dalam permainan sepakbola pada siswa ekstrakulikuler di SMK YPS Prabumulih dapat diterima kebenarannya. Hal ini dapat dilihat dari rata-rata menendang bola ke dinding pada saat melakukan pre test yang belum diberikan perlakuan latihan lingkaran pinball adalah terkecil 7 dan yang terbesar 14, sedangkan rata-rata yang passing bola kedinding post test yang sudah diberikan perlakuan latihan selama 14 kali pertemuan adalah jumlah passing terkecil 8 dan yang terbesar mencapai 16. Jadi dapat kita lihat dengan adanya program latihan lingkaran pinball bahwa sangat berpangaruh dalam meningkatkan passing datar.
Rétroprojection 2 D sur plateforme SOPC , premiers résultats 2 D Backprojection on a SOPC Platform : first results

Le développement et la diffusion des équipements TEP passent par la réduction des temps de calcul de la reconstruction des images acquises. Aussi cet article présente une solution mixte logicielle/matérielle pour l’accélération de la reconstruction 2D sur une plateforme SOPC (System On Programmable Chip), la nouvelle génération de circuits reconfigurables. L’architecture présentée permet de résoudre élégamment le verrou posé par la latence des accès mémoire grâce au cache 2D Adaptatif et Prédictif, tout en proposant un système souple d’utilisation.
The Effect of Oral Carbohydrate Solutions on the Performance of Swimmers

It is well established that carbohydrate solutions can improve the performance in prolonged exercise. The aim of this study was to compare the impact of sugar and glucose solutions on exercise performance of swimmers. Twelve male teenager elite Iranian swimmers aged 12-17 years from Waterpolo Team of Ahvaz Oil Industry participated in a double-blind cross-over trial. They consumed three oral 6% purified carbohydrate solutions as glucose, sugar or placebo (aspartame) formulas in three non-consecutive days. In each day the swimmers undertook a 2×200-meter incremental swimming by 15 minutes time interval. Before starting the second course, subjects consumed their solutions. Blood glucose levels and time elapsed in two phases were recorded. Longer Swimming time significantly caused by sugar solution in the second course. Blood glucose level was increased by sugar and glucose solutions higher than the placebo before starting the second swim (p<0.05). However, after swimming, blood glucose concentrations were significantly elevated in all groups. After drinking a sugar solution and before starting the second 200-m swimming, the blood glucose level was higher than two other groups at this phase. Oral 6% sugar solution increased the time of swimming compared with oral glucose and placebo solutions in a 200-m swim. It can be explained by differences in Glycemic index in which sucrose has a lower GI than glucose.
A Text Detection Technique Applied in the Framework of a Mobile Camera-Based Application

Recent advances in mobile devices allow us to address many new challenging problems. One of them is automatic text recognition for embedded platform. This paper describes an innovative text detection system in the context of an embedded camera-based application. We propose a method to identify text regions inside an image, to correct orientation problems and to analyze document layout. Text areas are isolated with a texture segmentation approach. Due to mobile conditions, text orientation and perspective must be corrected. First a fuzzy estimation of text orientation is computed quickly. If text is too much distorted, the text perspective is corrected by using a line segmentation method in two steps. Finally the layout of the document is computed in order to deliver the reading order of the document. This language-free system has been developed with special attention to computational performances. The experimental results have proven that the method is effective and realistic.
Autonomous Agent as Helper - Helpful or Annoying?

This paper describes an investigation into the feasibility of agent-provided assistance for two specific situations, (1) when a previously-interrupted task is resumed, offer to open previously-used contextual documents and (2) when a non-optimal task is begun, suggest a more suitable alternative task. A paper-based task places participants in the situations described. The concern is to maximise the balance between helpfulness and annoyance. The results are discussed in terms of timing of interruption and social effects. Overall, the agent needs to take account of the human's likely feelings towards any intervention; interventions must be both useful and perceived to be useful.
A case study on applications of dna-level polymorphisms in tilapia genetic studies and stock management

Introduction Tilapia has become increasingly important in aquaculture in tropical and subtropical countries, such as the Philippines, Taiwan, Israel, some Sub-Saharan African countries like Cote D’Ivoire, Malawi, Benin Republic, etc. It is much appreciated by consumers, being a good and affordable source of protein. It has been cultured intensively for more than four decades; however its genetic resources have been poorly managed. Problems in fish management still arise in Tilapia production because of its capacity to over breed. At a young age, these fish are able to reproduce, often leading to the overcrowding of fishponds, thus limiting the growth of individual fish. In an effort to address this problem, monosex populations have been produced generally prepared after three methods. The first of these methods, involved the manual inspection and separation of sexes. A second procedure, which is less labor intensive, involves the use of hormones to induce sex reversal in fry-stage fish. The third method employs the discovery that hybridization of two different species would produce skewed sex ratios, some of which tend to nearly 100% male offspring. These and other efforts which now include modern biotechnology tools to produce superior strains in terms of fast growth, tolerance to adverse environmental conditions, resistance to fish diseases, etc. gave roots to a widespread interest in the study of Tilapia genetics.
TEMPORAL AGGREGATION AND TESTING FOR TIMBER PRICE BEHAVIOR

ABSTRACT. Different harvest timing models make different assumptions about timber price behavior. Those seeking to optimize harvest timing are thus first faced with a decision regarding which assumption of price behavior is appropriate for their market, particularly regarding the presence of a unit root in the timber price time series. Unfortunately for landowners and investors, the literature provides conflicting guidance on this subject. One source for the ambiguous results of unit root tests of timber prices may involve data problems. We used Monte Carlo simulations to show that aggregating observations below their observed rate resulted in similar power reductions and empirical size distortions across three classes of unit root tests. Moving‐average error structures can also affect power and sizes of tests on period‐averaged data. Such error structures can also be created by the kind of temporal averaging common in reported timber prices. If we take timber prices at their face value and therefore ignore these sampling error and temporal aggregation complications, we find that unit root tests on southern timber prices support a unit root in 158 out of 208 product‐deflation combinations tested, random walks in 38 of the series found to be nonsta‐tionary, and stationarity in none. However, if we recognize temporal aggregation errors, unit root tests more commonly favor stationarity, especially for pulpwood stumpage. Because price trends for sawtimber and pulpwood products may behave differently even in the same region, stochastic harvest timing models must be developed that allow their multiple products to follow different price paths.
Side-By-Side Display and Control of Multiple Scenarios: Subjunctive Interfaces for Exploring Multi-Attribute Data

Information exploration often involves specifying alternative values for some set of parameters, and comparing the corresponding results. Some interfaces allow only one scenario, i.e., one set of parameter values, to be handled at a time. To compare results, the user must therefore switch repeatedly among the scenarios of interest and must remember details of the results seen so far. A subjunctive-interface approach may reduce this burden on the user. Subjunctive interfaces let users establish, view and adjust multiple scenarios in parallel, so that results can be compared side by side. As an illustration, we describe two subjunctive interfaces for comparing queries over a multi-attribute dataset. In both designs the query results are shown side by side, but in one case the input parameters’ available values are laid out in menus, marked to show which queries use each value; in the other case the parameters are controlled by sliders, with the parameters’ values in the different queries displayed side by side like the results. Both designs appear to offer advantages over other exploration interfaces, because they reduce the number of interface actions required and the information that users must remember.
Fuzzy Based Detection and Prediction of DDoS Attacks in IEEE 802.15.4 Low Rate Wireless Personal Area Network

Detection and Prediction mechanism against distributed denial of service (DDoS) attacks is a critical component of any security system in which, these attacks can affect the availability of a node or an entire network. In this work, we focus the detection and prediction mechanism against DDoS attacks in IEEE 802.15. 4 using Fuzzy logic system. The main contribution of Fuzzy based detection and prediction system (FBDPS) is to detect the DDoS attackers by comparing the energy consumption of sensor nodes. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, FBDPS is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. By stimulation results, we finalized potential areas in DDoS attacks and provide evidence of effectiveness for detection and prediction of DDoS attacks with improved detection rate.
A Novel Hardware Platform of WSNs

Sensor node in WSNs is basic bottle neck which restricts realization of WSNs, because of their very limited processing, communication ability and power source supply. With the advancement of IC design and fabrication technology, release of microcontroller (MCU) with more powerful processing, lower power consumption and cost is expectable. So this paper introduces a novel sensor node based on 32 bits MCU LPC2138, wireless communication unit of the sensor node is composed of CC2420 which is the first kind of radio frequency chip compatible with IEEE802.15. 4. A brief review of sensor node in different stage shows that single chip sensor node is coming true, and more and more 32 bits microcontroller used in WSNs should be a trend. This paper presents design of this sensor node, including processing unit, RF unit, power supply unit and sensor unit, and gives some solutions which avail design process. At last, power consumption measurement of sensor node is done and the results are given.
Secure roaming with identity metasystems

The notion of identity metasystem has been introduced as the means to ensure inter-operability among different identity systems while providing a consistent user experience. Current identity metasystems provide limited support for secure roaming: by "roaming" we refer to the ability of a user to use the same set of identities and credentials across different terminals. We argue that in order to support different types of roaming, the identity metasystem client should be structured as a set of distributable components. We describe such distributed client-side software architecture and how that architecture is implemented by adapting Novell's Bandit project. We use our implementation to demonstrate how credentials are stored in a trusted device in the form of a mobile phone but can be used on less trusted terminals in the form of PCs.
Calibration of the local volatility in a trinomial tree using Tikhonov regularization

Following an approach introduced by Lagnado and Osher (Lagnado R and Osher S 1997 J. Comput. Finance 1 13–25), we study the application of Tikhonov regularization to the financial inverse problem of calibrating a local volatility function from observed vanilla option prices. Moreover, we provide a unified treatment for this problem in two different settings: first, the generalized Black–Scholes model, and second, a trinomial tree discretization. We present serial and parallel implementations of the method in the discrete setting, using a probabilistic interpretation to compute, at significantly reduced cost, the gradient of the cost criterion. We illustrate the stability of this regularized calibration procedure by numerical examples. Finally we extend this methodology to the problem of calibration with American option prices.
Factors Associated With Recommendations for Assistive Technology Devices for Persons With Mobility Limitations Using Workplace Accommodation Services

The objective of this study was to identify the interactions between impairment-related and work-related factors associated with recommendations for specific assistive technology devices (ATDs) for persons with mobility limitations who used workplace accommodation (WA) services. A retrospective and secondary data analysis was conducted on 132 WA service users with mobility limitations in Taipei City from 2008 to 2012 using chi-square automatic interaction detector (CHAID). The CHAID analyses revealed interactions between impairment-related factors (difficulty walking and upper extremity pain) and work-related factors (frequent moving around outdoors), which were significantly associated with the recommendation of powered wheelchairs (p < .05). Interactions between the impairment-related factor (difficulty walking) and the work-related factor (frequent sitting for long periods of time) were associated with the recommendation of ergonomic chairs (p < .001) for persons with mobility limitations. By identifying the interactions between impairment-related and work-related factors in recommending workplace ATDs for persons with mobility limitations, this study provides evidence-based ATDs recommendations for persons with mobility limitations.
Book Review: Music and Memory: An Introduction

Music and Memory: An Introduction uses memory strictly speaking, a rather elderly triparrite model of memory (e.g. Atkinson and Shiffrin, 1968) as a springboard for writing about the perception and cognition of music at three levels identified by Stockhausen (1989): "event fusion", melody and rhythm, and form. The book is in twO pans: the first introduces basic concepts in cognitive psychology, and the second "explains" music using these concepts. Having implied that the model of memory on which the first part of the book is based is rather oldfashioned, I'd want to stress that Snyder succeeds admirably in combining it with much newer theories of memory, deriving from the findings of neurophysiological (e.g. Black, 1991), empirical (e.g. Deutsch, 1999) and connectionist (e.g. Bharucha, 1999) research. He begins with echoic memory (or sensory registration), which is used to process single pitches or sounds, before moving on to short-term memory, used for processing melody and rhythm, and finally long-term memory, which, with its hierarchical organization, is used to keep track of and to remember higher-level musical structures. In the second part of the book he revisits the elements of music, from single events to musical form and meaning on the largest scale, making sense of the ways music is perceived, understood and created, both universally and within shared cultures, by reference to the "cognitive concepts" with which the first part of the book is concerned. Chapter 1 consists of an overviewof memory and an explication of a modular diagram illustrating the various functional aspects of memory on which the rest of the book is based. Echoic memory is introduced in Chapter 2, together with feature extraction and perceptual binding, perceptual categorization, representation (acknowledging the on-going debate concerning the form mental representations take in memory), recognition, habituation and neurophysiological constraints on perception. In Chapter 3, Snyder discusses primitive and learned grouping, proximity, similarity, continuity, higher levelgrouping factors such as intensification and parallelism, and what Tenny (1988) calls objective and subjective "set". Chapter 4 outlines working memory and the limitations of one of its components, short-term memory, the nature of conscious awareness, and the roles of rehearsal and chunking. This is followed in Chapter 5 by an exploration of closure at the phrase level, and the factors that enable listeners to perceive and therefore remember musical information in chunks of varying sizesand hierarchical importance. Snyder argues that our expectations of music which are stylespecific, learned through repeated hearings and the extent to which they are realized (or not) create the illusions of motion. gravity and causality. These are themes to which he returns in Chapter 9. He concludes the chapter with a brief discussion of repetition and familiarity, citing Bigand's (1993) observation that
Implementation of the Database Machine Direct

DIRECT is a multiprocessor database machine designed and implemented at the University of Wisconsin. This paper describes our experiences with the implementation of DIRECT. We start with a brief overview of the original machine proposal and how it differs from what was actually implemented. We then describe the structure of the DIRECT software. This includes software on host computers that interfaces with the database machine; software on the back-end controller of DIRECT; and software executed by the query processors. In addition to describing the structure of the software we will attempt to motivate and justify its design and implementation. We also discuss a number of implementation issues (e.g., debugging of the code across several machines). We conclude the paper with a list of the "lessons" we have learned from this experience.
Abnormalities in the Fiber Composition and Capillary Architecture in the Soleus Muscle of Type 2 Diabetic Goto-Kakizaki Rats

Type 2 diabetes mellitus is linked to impaired skeletal muscle glucose uptake and storage. This study aimed to investigate the fiber type distributions and the three-dimensional (3D) architecture of the capillary network in the skeletal muscles of type 2 diabetic rats. Muscle fiber type transformation, succinate dehydrogenase (SDH) activity, capillary density, and 3D architecture of the capillary network in the soleus muscle were determined in 36-week-old Goto-Kakizaki (GK) rats as an animal model of nonobese type 2 diabetes and age-matched Wistar (Cont) rats. Although the soleus muscle of Cont rats comprised both type I and type IIA fibers, the soleus muscle of GK rats had only type I fibers. In addition, total SDH activity in the soleus muscle of GK rats was significantly lower than that in Cont rats because GK rats had no high-SDH activity type IIA fiber in the soleus muscle. Furthermore, the capillary diameter, capillary tortuosity, and microvessel volume in GK rats were significantly lower than those in Cont rats. These results indicate that non-obese diabetic GK rats have muscle fiber type transformation, low SDH activity, and reduced skeletal muscle capillary content, which may be related to the impaired glucose metabolism characteristic of type 2 diabetes.
Direct evidence of mitochondrial G-quadruplex DNA by using fluorescent anti-cancer agents

G-quadruplex (G4) is a promising target for anti-cancer treatment. In this paper, we provide the first evidence supporting the presence of G4 in the mitochondrial DNA (mtDNA) of live cells. The molecular engineering of a fluorescent G4 ligand, 3,6-bis(1-methyl-4-vinylpyridinium) carbazole diiodide (BMVC), can change its major cellular localization from the nucleus to the mitochondria in cancer cells, while remaining primarily in the cytoplasm of normal cells. A number of BMVC derivatives with sufficient mitochondrial uptake can induce cancer cell death without damaging normal cells. Fluorescence studies of these anti-cancer agents in live cells and in isolated mitochondria from HeLa cells have demonstrated that their major target is mtDNA. In this study, we use fluorescence lifetime imaging microscopy to verify the existence of mtDNA G4s in live cells. Bioactivity studies indicate that interactions between these anti-cancer agents and mtDNA G4 can suppress mitochondrial gene expression. This work underlines the importance of fluorescence in the monitoring of drug-target interactions in cells and illustrates the emerging development of drugs in which mtDNA G4 is the primary target.