Miracle-dz/UniFAR-FTUs huggingface dataset:
miRNA-130a regulates C/EBP-« expression during granulopoiesis

Granulopoiesis, the development of mature neutrophil granulocytes from myeloblasts (MBs), is a strictly regulated process requiring action of several transcription factors to control processes, such as cell division, differentiation, and correct timing of synthesis of the different granule proteins. Dysregulation of transcription factors canbe leukemogenic, leading todifferentiation arrest and amalignant phenotype, such as acute myeloid leukemia (AML), or can result in neutrophils that are not equippedwith their full armory for combating invading microorganisms, as seen in specific granule deficiency (SGD), and recapitulated in the phenotype of Cebpe mice. CCAAT/enhancer binding protein-e (C/EBP-e) is a transcription factor essential for terminal granulopoiesis. The C/EBPs constitute a family of highly conserved transcription factors with 6 members (C/EBP-a, -b, -d, -e, -g, and -z) that bind toDNAvia a leucine zipper domain. All members are expressed at some stage during neutrophil development, but not all at the same time. In particular the C/EBPs-a, -b, and -e regulate proliferation and differentiation, and are thus essential for formation of mature neutrophils. C/EBP-e is expressed as 4 isoforms of 32, 30, 27, and 14 kDa, respectively. However, only full length (ie, 32 kDa C/EBP-e) has full transactivating potential as demonstrated in vitro. C/EBP-e is essential for expression of genes encoding proteins stored in specific granules of the neutrophil, such as lactoferrin and human cathelicidin antimicrobial protein (hCAP-18). In addition, C/EBP-e induces cell cycle arrest at the myelocytic stage of differentiation and is thus important for exit from the proliferative pool at this stage of maturation. In accordance with this, C/EBP-e protein expression is almost exclusively found at the myelocyte (MC)/metamyelocyte (MM) stage of differentiation. High amounts of C/EBP-e messenger RNA (mRNA) are found in the MC/MM population, but a considerable amount of C/EBP-e transcript is also detected in MBs and promyelocytes (PMs), indicating that the expression of C/EBP-e may be subject to posttranscriptional regulation. MicroRNAs (miRNAs) are increasingly recognized as important regulators of differentiation and maturation of cells through their ability tomodulate protein synthesis posttranscriptionally by binding to complementary sequences of the 39-untranslated region (UTR) of mRNAs and inhibiting translation. The functional importance ofmiRNAshasbeendemonstrated in granulopoiesis wheremiRNAs regulate expression of transcription factors and pathways important for correct neutrophil development. A specific miRNA signature has been associatedwith someAMLs indicating thatmiRNAs contribute to the disease phenotype in these leukemias, thus underscoring the importance of correct expression of miRNAs during normal granulocytic development.
Multi-scale computing over heterogeneous resources

Parallel processing of large data sets on clusters of commodity machines—of virtual or physical nature—has in recent years become an active field of research as well as a thriving business. Many companies are running large data centres to support such workloads, and task-parallel frameworks have enabled programmers to harness managed large-scale parallelism while writing mostly sequential code. At the same time, the increase in individual per-core CPU performance has slowed down significantly and the industry has moved towards parallelism as a way of increasing CPU performance. Non-cache-coherent manycore CPUs are under active research and development, and the average commodity server now contains between four and eight logical CPU cores. On top of this, increasing awareness of data centre energy consumption as an environmental and economic challenge has led to diversification of hardware used in compute and storage clusters [1]. The systems used to run such jobs across many machines, however, essentially treat them as a homogeneous collection: they partition them into many VMs at the hypervisor level or coarse-grainedly break them up into a number of “slots” per machine. Nonetheless, heterogeneity in the data centre is a reality at multiple levels—from hardware and interconnects to task-level heterogeneity within a job [5]—and may even be introduced deliberately [2]. We believe that there has been no appropriate general treatment of resource heterogeneity in compute clusters so far. In this work, we introduce the concept of independent resource ensembles, marking a departure from the classic single global master design of taskparallel compute frameworks (§2), and propose a new approach to detecting and characterizing resource heterogeneity within and between ensembles (§3), enabling heterogeneity-aware scheduling decisions. In explicitly supporting heterogeneity-awareness and dynamic extension of a computation across resource ensembles, we introduce the idea of multi-scale computation—that is, we can exploit parallelism at many scales, from fine-grained multi-core processing with communication over an onchip network to coarse-grained clusters of virtual machines (§4).
Developing hardware capability for mobile manipulation by low-cost humanoid robot (LOCH)

Purpose – Autonomous mobile manipulation depends on a lot of effort at various levels. In general, the hardware design is as important as algorithm (or software) design. In particular, the absence of certain capabilities of hardware can seriously affect the feasibility and performance of algorithms. The purpose of this paper is to present work on developing hardware capability for mobile manipulation by low‐cost humanoids (LOCH) humanoid robot.Design/methodology/approach – This paper presents research work on developing the hardware support which enables vision‐guided mobile manipulation realized on top of a biped humanoid robot called LOCH. One important goal which guides the development is to achieve the hardware capability with human‐like dexterity, modularity, functionality, and appearance.Findings – This paper discusses the detail of solutions leading to the realization of the intended hardware capability, focusing in particular on the issues related to mechanism, actuation, distributed sensing, and .
Compact Underground Radar System

Pulse radar systems, known as subsurface interface radars, have been widely used to locate underground objects. Three-dimensional towershaped antennas were developed to replace conventional plane antennas and accurately detect the location and depth of underground objects like gas pipes, water pipes and transmission cables. The newly developed radar system using these tower-shaped antennas is capable of locating not only metal but polyethylene pipes. Another important feature of the new radar system is that there is no need for the cable to connect high-frequency signal processors, including a CRT display. In addition to this, the use of lead storage batteries for power makes
Determination of Optimal Harvest Time of Chuchung Variety Green Rice® (Oryza sativa L.) with High Contents of GABA, γ-Oryzanol, and α-Tocopherol

In our previous study, an early-maturing variety of rice (Oryza sativa L.), Jinbu can have feature with unique green color, various phytochemicals as well as nutritive components by the optimal early harvesting, called Green Rice® (GR). The aims of the present field experiments were to evaluate the changes in the weight of 1,000 kernels, yield, and contents of proximate and bioactive compounds in Chuchung, a mid-late maturing variety, during the pre-harvest maturation of rough rice and to research the appropriate harvest time and potent bioactivity of Chuchung GR. The weights of 1,000 kernels of Chuchung GR dramatically increased until 27 days after heading (DAH). The yields of Chuchung GR declined after 27 DAH and significantly declined to 0.0% after 45 DAH. The caloric value and total mineral contents were higher in the GR than in the full ripe stage, the brown rice (BR). In the GR, the contents of bioactive compounds, such as γ-aminobutyric acid, γ-oryzanol, and α-tocopherol, were much higher (P<0.05) than those in the BR, specifically during 24~27 DAH. Therefore, bioactive Chuchung GR can be produced with a reasonable yield at 24~27 DAH and it could be useful for applications in various nutritive and functional food products.
NeuroAIDS in Africa

In July 2009, the Center for Mental Health Research on AIDS at the National Institute of Mental Health organized and supported the meeting “NeuroAIDS in Africa. ” This meeting was held in Cape Town, South Africa, and was affiliated with the 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention. Presentations began with an overview of the epidemiology of HIV in sub-Saharan Africa, the molecular epidemiology of HIV, HIV-associated neurocognitive disorders (HANDs), and HAND treatment. These introductory talks were followed by presentations on HAND research and clinical care in Botswana, Cameroon, Ethiopia, The Gambia, Kenya, Malawi, Nigeria, Senegal, South Africa, Uganda, and Zambia. Topics discussed included best practices for assessing neurocognitive disorders, patterns of central nervous system (CNS) involvement in the region, subtype-associated risk for HAND, pediatric HIV assessments and neurodevelopment, HIV-associated CNS opportunistic infections and immune reconstitution syndrome, the evolving changes in treatment implementation, and various opportunities and strategies for NeuroAIDS research and capacity building in the region.
Absorption Rate Evaluation of Fabric-Foam-Fabric Plied Material

The absorption rate of fabric-foam-fabric plied materials for making intimate apparel was measured in this study. The fabric-foam-fabric plied materials were prepared by plying polyurethane foams (non-laminated and laminated) with different fabrics. The plied material is intended to be used in close-to-skin garment. Thus, the water absorption behaviour of the material would affect its comfort property. Therefore, we reported the absorption rate values of different plied samples and the results were discussed properly.
A Gastropod Toxin Selectively Slows Early Transitions in the Shaker K Channel's Activation Pathway

A toxin from a marine gastropod's defensive mucus, a disulfide-linked dimer of 6-bromo-2-mercaptotryptamine (BrMT), was found to inhibit voltage-gated potassium channels by a novel mechanism. Voltage-clamp experiments with Shaker K channels reveal that externally applied BrMT slows channel opening but not closing. BrMT slows K channel activation in a graded fashion: channels activate progressively slower as the concentration of BrMT is increased. Analysis of single-channel activity indicates that once a channel opens, the unitary conductance and bursting behavior are essentially normal in BrMT. Paralleling its effects against channel opening, BrMT greatly slows the kinetics of ON, but not OFF, gating currents. BrMT was found to slow early activation transitions but not the final opening transition of the Shaker ILT mutant, and can be used to pharmacologically distinguish early from late gating steps. This novel toxin thus inhibits activation of Shaker K channels by specifically slowing early movement of their voltage sensors, thereby hindering channel opening. A model of BrMT action is developed that suggests BrMT rapidly binds to and stabilizes resting channel conformations.
Contour-based joint clustering of multiple segmentations

We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video sequence or images of the same scene taken under different lighting conditions, our method generates a joint segmentation of the images. We introduce a novel contour-based representation that allows us to cast the shape-based joint clustering problem as a quadratic semi-assignment problem. Our score function is additive. We use complex-valued affinities to assess the quality of matching the edge elements at the exterior bounding contour of clusters, while ignoring the contributions of elements that fall in the interior of the clusters. We further combine this contour-based score with region information and use a linear programming relaxation to solve for the joint clusters. We evaluate our approach on the occlusion boundary data-set of Stein et al.
Transplantation research of the LwIP agreement under the uC/OS-II

μC/OS-II is an open source real-time operating system, but it is just a real-time task scheduling and communication kernel, and not integrated TCP/IP communication protocol. In this article, based on the brief description of the embedded protocol LwIP and embedded real time operating system μC/OS-II, the author makes the LwIP agreement as μC/OS-II network module and embeds it into the μC/OS-II kernel, so that μC/OS-II support network communications. Finally the testing results are given after transplantation.
@ CMU

Two time series are considered in this paper: one is the volume of hard disk activity, aggregated into half-hour periods, measured on a workstation, and the other is the volume of internet requests made to a workstation. Both of these time series exhibit features typical of network traÆc data, namely, strong seasonal components and highly non-Gaussian distributions. For these time series, a particular class of nonlinear state-space models is proposed, and practical techniques for model-(cid:12)tting and forecasting are demonstrated.
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints

This paper deals with the design of coded waveforms which optimize radar performances in the presence of colored Gaussian disturbance. We focus on the class of linearly coded pulse trains and determine the optimum radar code according to the following criterion: maximization of the detection performance under a control on the region of achievable Doppler estimation accuracies, and imposing a similarity constraint with a prefixed radar code. This last constraint is tantamount to requiring a similarity between the ambiguity functions of the devised waveform and of the pulse train encoded with the prefixed sequence. The resulting optimization problem is nonconvex and quadratic. In order to solve it, we propose a technique (with polynomial computational complexity) based on the relaxation of the original problem into a semidefinite program. Thus, the best code is determined through a rank-one decomposition of an optimal solution of the relaxed problem. At the analysis stage, we assess the performance of the new encoding technique in terms of detection performance, region of achievable Doppler estimation accuracies, and ambiguity function.
Retrospective memory bias for the frequency of potentially traumatic events: A prospective study.

We conducted a prospective study that tracked the frequency of potentially traumatic events (PTEs) and nontraumatic events among college students over a 4-year period using a weekly web-based survey. At the study’s completion, participants attempted to recall the number of events they had endorsed on the web surveys. Although participants underrecalled the frequency of all types of life events, recollection was more accurate for PTEs than for non-PTEs. Recalled-frequency of PTEs was associated positively with distress at recall and inversely with trait self-enhancement. These effects were qualified by a distress X self-enhancement interaction. High distress at recall was associated with a greater recalled-frequency of PTEs, but only for people low in trait self-enhancement.
The Microstructural Evolution and Mechanical Properties of Zr-Based Metallic Glass under Different Strain Rate Compressions

In this study, the high strain rate deformation behavior and the microstructure evolution of Zr-Cu-Al-Ni metallic glasses under various strain rates were investigated. The influence of strain and strain rate on the mechanical properties and fracture behavior, as well as microstructural properties was also investigated. Before mechanical testing, the structure and thermal stability of the Zr-Cu-Al-Ni metallic glasses were studied with X-ray diffraction (XRD) and differential scanning calorimeter. The mechanical property experiments and microstructural observations of Zr-Cu-Al-Ni metallic glasses under different strain rates ranging from 10−3 to 5.1 × 103 s−1 and at temperatures of 25 °C were investigated using compressive split-Hopkinson bar (SHPB) and an MTS tester. An in situ transmission electron microscope (TEM) nanoindenter was used to carry out compression tests and investigate the deformation behavior arising at nanopillars of the Zr-based metallic glass. The formation and interaction of shear band during the plastic deformation were investigated. Moreover, it was clearly apparent that the mechanical strength and ductility could be enhanced by impeding the penetration of shear bands with reinforced particles.
Limiting link disclosure in social network analysis through subgraph-wise perturbation

Link disclosure between two individuals in a social network could be a privacy breach. To limit link disclosure, previous works modeled a social network as an undirected graph and randomized a link over the entire domain of links, which leads to considerable structural distortion to the graph. In this work, we address this issue in two steps. First, we model a social network as a directed graph and randomize the destination of a link while keeping the source of a link intact. The randomization ensures that, if the prior belief about the destination of a link is bounded by some threshold, the posterior belief, given the published graph, is no more than another threshold. Then, we further reduce structural distortion by a subgraph-wise perturbation in which the given graph is partitioned into several subgraphs and randomization of destination nodes is performed within each subgraph. The benefit of subgraph-wise perturbation is that it retains a destination node with a higher retention probability and replaces a destination node with a node from a local neighborhood. We study the trade-off of utility and privacy of subgraph-wise perturbation.
Tail Autotomy, Tail Size, and Locomotor Performance in Lizards*

The effect of tail autotomy on locomotor performance has been studied in a number of lizard species. Most of these studies (65%) show that tail autotomy has a negative effect on sprint speed, some studies (26%) show no effect of autotomy on sprint speed, and a few (9%) show a positive effect of autotomy on sprint speed. A variety of hypotheses have been proposed to explain the variation across these studies, but none has been tested. We synthesize these data using meta-analysis and then test whether any of four variables explain the variation in how tail autotomy impacts sprint speed: (1) differences in methodology in previous studies, (2) phylogeny, (3) relative tail size, and (4) habitat use. We find little evidence that methodology or habitat use influences how sprint speed changes following tail autotomy. Although the sampling is phylogenetically sparse, phylogeny appears to play a role, with skinks and iguanids showing fairly consistent decreases in speeds after autotomy and with lacertids and geckos showing large variation in how autotomy impacts speed. After removing two outlying species with unusually large and long tails (Takydromus sp.), we find a positive relationship between relative tail size and sprint speed change after autotomy. Lizards with larger tails exhibit a greater change in speed after tail loss. This finding suggests that future studies of tail autotomy and locomotor performance might profitably incorporate variation in tail size and that species-specific responses to autotomy need to be considered.
Comparison of Two Image Segmentation Algorithms

Image segmentation has been, and still is, a relevant research area in computer vision and hundreds of segmentation algorithms have been proposed in the last 30 years. An image retrieval system has now an array of available algorithm choices, however, few objective numerical evaluations of these segmentation algorithms exist. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and an expert decides the effectiveness of a technique based on application requirements. This paper presents a comparison between two image segmentation algorithms: the color set back-projection algorithm that can be found in many related studies and an original segmentation method using a hexagonal structure defined on the set of image pixels. For this purpose error measures are used. The error measures quantify the consistency between these two segmentations algorithms.
Mobile Data Transactions in Device-to-Device Communication Networks: Pricing and Auction

Device-to-device (D2D) communication is offering smart phone users a choice to share files with each other without communicating with the cellular network. In this letter, we discuss the behaviors of two characters in the D2D data transaction model from an economic point of view: the data buyers who wish to buy a certain quantity of data, as well as the data sellers who wish to sell data through the D2D network. The optimal price and purchasing strategies are analyzed and deduced based on game theory.
Data Location in the Oceanstore 1.2 Bloom Filters

1 Problem Description We have examined the problem of data location in the OceanStore, a highly distributed data storage architecture. In particular, given a network of servers that contain named objects we present a probabilistic algorithm that eeciently routes requests for an object to servers believed to contain that object. This algorithm has two phases. The rst phase creates a consistent distributed directory of objects using attenuated Bloom lters. In the second phase these attenuated Bloom lters are used to route object location requests. 1.1 Assumptions Our algorithm is based on three assumptions: 1. Each object has a unique identiier which is independent of its physical location in the network. This non{hierarchical naming scheme is consistent with the OceanStore view of data owing to where it is most used in the network. 2. There exists some deterministic, but expensive , algorithm for nding any object given this virtual identiier, which we can fall back on if necessary. This allows us to use probabilistic methods safely in our algorithm and is a valid assumption under the responsible party notion of the OceanStore. 3. Costs are measured primarily in terms of communication (latency or network utilization) and not computation or storages. This is a primary OceanStore assumption based on the various Moore's Laws. Given these assumptions we will present an algorithm for eecient object location based on Bloom lters 2], which we will use as attenuated lossy sets. Bloom lters are an eecient, lossy way of describing a set 2]. A Bloom lter is a bit{{eld of a xed width w and a number of associated independent hash functions. Each hash function is a mapping from an object to an integer in 0; w ? 1]. Inserting an object in a Bloom l-ter involves applying the hash functions to the object and setting the bits in the bit{{eld associated with the hash function results. A bit that was already set remains set. To see if a Bloom lter contains an object, one applies the hash functions to the object and checks the lter for the appropriate bits. If any of those bits are un-set, the Bloom lter deenitely does not contain the object. If all of the bits are set, the Bloom lter may contain the object. The false positive rate of a Bloom lter is a well{deened function of its width, the number of hash functions and the number of objects …