Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing the Lifetime of Sensor Networks with Uncontrollable Mobile Sinks and QoS Constraints

In past literature, it has been demonstrated that the use of mobile sinks (MSs) increases dramatically the lifetime of wireless sensor networks (WSNs). In applications where the MSs are humans, animals, or transportation systems, the mobility of the MSs is often uncontrollable and could also be random and unpredictable. This implies the necessity of algorithms tailored to handle uncertainty on the MS mobility. In this article, we define the lifetime optimization of a WSN in the presence of uncontrollable sink mobility and Quality of Service (QoS) constraints. After defining an ideal scheme (called Oracle) which provably maximizes network lifetime, we present a novel Swarm-Intelligence-based Sensor Selection Algorithm (SISSA), which optimizes network lifetime and meets predefined QoS constraints. Then we mathematically analyze SISSA and derive analytical bounds on energy consumption, number of messages exchanged, and convergence time. The algorithm is experimentally evaluated on practical experimental setups, and its performances are compared to that by the optimal Oracle scheme, as well as with the IEEE 802.15. 4 MAC and TDMA schemes. Results conclude that SISSA provides on the average the 56% of the lifetime provided by Oracle and outperforms IEEE 802.15. 4 and TDMA in terms of yielded network lifetime.
Broadcasting Algorithm with Per-neighbor Queues

Broadcasting systems such as P2P streaming systems represent important network applications that support up to millions of online users. An efficient broadcasting mechanism is at the core of the system design. Despite substantial efforts on developing efficient broadcasting algorithms, the following important question remains open: How to achieve the maximum broadcast rate in a distributed manner with each user maintaining information queues only for its direct neighbors? In this work, we first derive an innovative formulation of the problem over acyclic overlay networks with arbitrary underlay capacity constraints. Then, based on the formulation, we develop a distributed algorithm to achieve the maximum broadcast rate and every user only maintains one queue per-neighbor. Due to its lightweight nature, our algorithm scales very well with the network size and remains robust against high system dynamics. Finally, by conducting simulations we validate the optimality of our algorithm under different network capacity models. Simulation results further indicate that the convergence time of our algorithm grows linearly with the network size, which suggests an interesting direction for future investigation.
A 130nm SiGe BiCMOS technology for mm-Wave applications featuring HBT with fT/fMAX of 260/320 GHz

A manufacturable 130nm SiGe BiCMOS RF technology for high-performance mm-wave analog applications having a high-speed SiGe Heterojunction Bipolar Transistor (HBT) integrated into a full-featured RFCMOS is presented. The technology features a high performance (HP) SiGe HBT with fT/fMAX of 260/320 GHz, a high breakdown (HB) HBT with BVCEO of 3.5V, 130nm RF CMOS, and a full suite of passive devices. Specific device results pertaining to this BiCMOS8XP technology are discussed in this paper.
Internal Labels as Shape Cues for Medical Illustration

In this paper we describe an interactive labeling algorithm, which allows to integrate internal 3D labels into medical visualizations generated from volumetric data sets. The proposed algorithm is motivated by internal labeling techniques found in anatomical atlases, and in contrast to existing algorithms it provides additional shape cues by fitting internal labels to the depth structure of their associated objects. In this paper we discuss guidelines for the layout of internal 3D labels and describe our labeling algorithm, which extends 2D shape fitting and introduces 3D shape fitting. Furthermore we propose related interaction concepts and provide application examples.
An open source product-oriented LTE network simulator based on ns-3

In this paper we present a new simulation module for ns-3 aimed at the simulation of LTE networks. This module has been designed with a product-oriented perspective in order to allow LTE equipment manufacturers to test RRM/SON algorithms in a simulation environment before they are deployed in the field. First, we describe the design of our simulation module, highlighting its novel aspects. Subsequently, we discuss the testing methodology that we adopted to validate its output. Finally, we present some experimental result to assess its performance in terms of execution time and memory usage.
Modeling Protein Homopolymeric Repeats: Possible Polyglutamine Structural Motifs for Huntington's Disease

We describe a prototype system (Poly-X) for assisting an expert user in modeling protein repeats. Poly-X reduces the large number of degrees of freedom required to specify a protein motif in complete atomic detail. The result is a small number of parameters that are easily understood by, and under the direct control of, a domain expert. The system was applied to the polyglutamine (poly-Q) repeat in the first exon of huntingtin, the gene implicated in Huntington's disease. We present four poly-Q structural motifs: two poly-Q beta-sheet motifs (parallel and antiparallel) that constitute plausible alternatives to a similar previously published poly-Q beta-sheet motif, and two novel poly-Q helix motifs (alpha-helix and pi-helix). To our knowledge, helical forms of polyglutamine have not been proposed before. The motifs suggest that there may be several plausible aggregation structures for the intranuclear inclusion bodies which have been found in diseased neurons, and may help in the effort to understand the structural basis for Huntington's disease.
Simple identification of dominant p53 mutants by a yeast functional assay.

Analysis of families with germline p53 mutations shows that the mutant p53 allele behaves as a dominant oncogene at the genetic level, although it behaves as a recessive oncogene at the cellular level, since tumours invariably show mutation or loss of both wild-type alleles. At the biochemical level it is possible that some clinically important mutant p53 proteins may be carcinogenic through a dominant mechanism. We show that p53 mutants can be readily classified according to their dominant potential using a simple yeast functional assay. Wild-type p53 is constitutively expressed from a TRP1 vector, p53 mutants are expressed from an otherwise identical LEU2 vector and net transcriptional activity is scored using an ADE2-based reporter. Twenty seven p53 mutants were tested: 19 were recessive, i.e. gave white colonies, and eight showed dominant activity, i.e. gave pink/red colonies. This simple assay should facilitate studies on p53 dominance.
Chronic Administration of a Leupeptin-Derived Calpain Inhibitor Fails to Ameliorate Severe Muscle Pathology in a Canine Model of Duchenne Muscular Dystrophy

Calpains likely play a role in the pathogenesis of Duchenne muscular dystrophy (DMD). Accordingly, calpain inhibition may provide therapeutic benefit to DMD patients. In the present study, we sought to measure benefit from administration of a novel calpain inhibitor, C101, in a canine muscular dystrophy model. Specifically, we tested the hypothesis that treatment with C101 mitigates progressive weakness and severe muscle pathology observed in young dogs with golden retriever muscular dystrophy (GRMD). Young (6-week-old) GRMD dogs were treated daily with either C101 (17 mg/kg twice daily oral dose, n = 9) or placebo (vehicle only, n = 7) for 8 weeks. A battery of functional tests, including tibiotarsal joint angle, muscle/fat composition, and pelvic limb muscle strength were performed at baseline and every 2 weeks during the 8-week study. Results indicate that C101-treated GRMD dogs maintained strength in their cranial pelvic limb muscles (tibiotarsal flexors) while placebo-treated dogs progressively lost strength. However, concomitant improvement was not observed in posterior pelvic limb muscles (tibiotarsal extensors). C101 treatment did not mitigate force drop following repeated eccentric contractions and no improvement was seen in the development of joint contractures, lean muscle mass, or muscle histopathology. Taken together, these data do not support the hypothesis that treatment with C101 mitigates progressive weakness or ameliorates severe muscle pathology observed in young dogs with GRMD.
Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification

This letter presents an efficient probabilistic collaborative representation-based classifier (PROCRC) for hyperspectral image classification. Its performance is evaluated on different types of spatial features of hyperspectral imagery (HSI) including shape feature (i.e., extended multiattribute feature), global feature (i.e., Gabor feature), and local feature [i.e., local binary pattern (LBP)]. Compared with the original collaborative representation classifier (CRC), the proposed PROCRC offers superior classification performance. The Tikhonov regularized versions of CRC have excellent classification performance but their computational cost is high. The experimental results show that the PROCRC can yield comparable classification accuracy but with much lower computational cost.
Robustness of Artificially Evolved Robots: What's Beyond the Evolutionary Window?

Evolutionary methods are now commonly used to automatically generate autonomous controllers for physical robots. Although many evolutionary robotics studies have demonstrated the efficacy of this approach, few studies have actually focused on empirically testing the robustness of controllers synthesized using artificial evolutionary systems. In this paper, a self-adaptive Pareto evolutionary multi-objective optimization (EMO) algorithm called SPANN is used to evolve the locomotion controller of a virtual four-legged robot. The emphasis of this study is to observe the behavior of the artificial neural networks (ANNs) beyond the optimization window used to evolve the locomotion controllers. Specifically, the experiments will attempt to utilize the evolved controller beyond the time frame for which it is originally evolved to function as well as in the presence of varying levels of noise within the controller. The results show empirically that the controllers evolved using the SPANN algorithm are robust. Firstly, the controller was operated for a period twice the originally intended time frame and was found to be able to continue its synchronized and coordinated limb movements well beyond the period it was evolved for. Secondly, the controllers showed graceful degradation when varying levels of noise were introduced into the sensors and actuators of the robot.
Drag force in a charged Script N = 4 SYM plasma

Following recent developments, we employ the AdS/CFT correspondence to determine the drag force exerted on an external quark that moves through an = 4 super-Yang-Mills plasma with a non-zero R-charge density (or, equivalently, a non-zero chemical potential). We find that the drag force is larger than in the case where the plasma is neutral, but the dependence on the charge is non-monotonic.
The inner bird: anatomy and evolution

This article was downloaded by: [American Museum of Natural History]On: 22 April 2011Access details: Access Details: [subscription number 932288762]Publisher Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
The AWGN BC with MAC feedback: A reduction to noiseless feedback via interaction

We consider the problem of communication over a two-user Additive White Gaussian Noise Broadcast Channel (AWGN-BC) with an AWGN Multiple Access (MAC) active feedback. We describe a constructive reduction from this setup to the well-studied setup of linear-feedback coding over the AWGN-BC with noiseless feedback (and different parameters). This reduction facilitates the design of linear-feedback coding schemes in the (passive) noiseless feedback regime, which can then be easily and constructively transformed into coding schemes in the MAC feedback regime that attain the exact same rates. Our construction introduces an element of interaction into the coding protocol, and is based on modulo-lattice operations. As an example, we apply our method to the Ozarow-Leung scheme, and demonstrate how MAC feedback can be used to enlarge the capacity region of the AWGN-BC.
An Improved AIS Based E-mail Classification Technique for Spam Detection

An improved email classification method based on Artificial Immune System is proposed in this paper to develop an immune based system by using the immune learning, immune memory in solving complex problems in spam detection. An optimized technique for e-mail classification is accomplished by distinguishing the characteristics of spam and non-spam that is been acquired from trained data set. These extracted features of spam and non-spam are then combined to make a single detector, therefore reducing the false rate. (Non-spam that were wrongly classified as spam). Effectiveness of our technique in decreasing the false rate shall be demonstrated by the result that will be acquired.
Scotopic Visual Recognition

Recognition from a small number of photons is important for biomedical imaging, security, astronomy and many other fields. We develop a framework that allows a machine to classify objects as quickly as possible, hence requiring as few photons as possible, while maintaining the error rate below an acceptable threshold. The framework also allows for a dynamic speed versus accuracy tradeoff. Given a generative model of the scene, the optimal tradeoff can be obtained from a self-recurrent deep neural network. The generative model may also be learned from the data. We find that MNIST classification performance from less than 1 photon per pixel is comparable to that obtained from images in normal lighting conditions. Classification on CIFAR10 requires 10 photon per pixel to stay within 1% the normal-light performance.
Cartesian Motion Planning & Task Programming with CRAFTSMAN

I. INTRODUCTION Deploying multi-degree-of-freedom robot systems in real-world environments will require motion and task planning software for manipulation that is robust, flexible, and easy to use by non-PhD users. While many robot manufacturers provide custom, proprietary solutions for their systems, there is no industry standard that can be used on different platforms, can quickly adjust to new tasks or environments, or can be used effectively by both robotics researchers and trained experts. While open-source community efforts such as KDL [7] or MoveIt! [8] have been used in the ROS ecosystem [6] to provide generic Inverse Kinematics and pick-and-place functionality, PhD-level robotics expertise is often required to integrate these software components into specific fielded applications. Moreover, these software components are designed to individually provide reliable, generic functionality, but typically have narrowly defined APIs that do not take full advantage of the capabilities of other components when integrated into a larger robotic software architecture. To address this community deficiency, TRACLabs is developing a software suite called CRAFTSMAN (CaRtesian-based AFfordance Template Suite for MANipulation) designed to make robot task and motion planning for object manipulation and tool-use practical in real-world applications. CRAFTSMAN currently consists of integrated open-source libraries for
Switching controller for efficient IBVS

Image-based visual servoing (IBVS) is now recognized to be an efficient and robust control strategy to guide robots using only visual data. Classical IBVS is commonly based on the Cartesian coordinates of points in the image. Although the convergence of the visual features to the desired ones is generally achieved, classical IBVS can lead to unnecessary displacements of the camera, such as the camera retreat problem in the case of a pure rotation around the optical axis. In contrast, IBVS based on the polar coordinates of points, is well adapted to carry out rotations around the optical axis but less adapted to manage translations. To take advantage of the benefits of each approach, we propose a new strategy for visual servoing based on a switching controller. The controller switches between Cartesian-based and polar-based approaches thanks to a switching signal provided by a decision maker. With the proposed controller, unnecessary 3D displacements are minimized without any 3D reconstruction and visibility constraints can be taken into account. The local stability of the closed-loop switching system is proved. A comparison with classical controllers and advanced controllers is performed by simulations. This comparative study illustrates the effectiveness of the proposed controller in terms of displacement in the image space and in the 3D space.
BeamSpy: Enabling Robust 60 GHz Links Under Blockage

Due to high directionality and small wavelengths, 60 GHz links are highly vulnerable to human blockage. To overcome blockage, 60 GHz radios can use a phased-array antenna to search for and switch to unblocked beam directions. However, these techniques are reactive, and only trigger after the blockage has occurred, and hence, they take time to recover the link. In this paper, we propose BeamSpy, that can instantaneously predict the quality of 60 GHz beams, even under blockage, without the costly beam searching. BeamSpy captures unique spatial and blockage-invariant correlation among beams through a novel prediction model, exploiting which we can immediately select the best alternative beam direction whenever the current beam's quality degrades. We apply BeamSpy to a run-time fast beam adaptation protocol, and a blockage-risk assessment scheme that can guide blockage-resilient link deployment. Our experiments on a reconfigurable 60 GHz platform demonstrate the effectiveness of BeamSpy's prediction framework, and its usefulness in enabling robust 60 GHz links.
Translocation of interleukin-1β into a vesicle intermediate in autophagy-mediated secretion

Recent evidence suggests that autophagy facilitates the unconventional secretion of the pro-inflammatory cytokine interleukin 1β (IL-1β). Here, we reconstituted an autophagy-regulated secretion of mature IL-1β (m-IL-1β) in non-macrophage cells. We found that cytoplasmic IL-1β associates with the autophagosome and m-IL-1β enters into the lumen of a vesicle intermediate but not into the cytoplasmic interior formed by engulfment of the autophagic membrane. In advance of secretion, m-IL-1β appears to be translocated across a membrane in an event that may require m-IL-1β to be unfolded or remain conformationally flexible and is dependent on two KFERQ-like motifs essential for the association of IL-1β with HSP90. A vesicle, possibly a precursor of the phagophore, contains translocated m-IL-1β and later turns into an autophagosome in which m-IL-1β resides within the intermembrane space of the double-membrane structure. Completion of IL-1β secretion requires Golgi reassembly and stacking proteins (GRASPs) and multi-vesicular body (MVB) formation. DOI: http://dx.doi. org/10.7554/eLife.11205. 001
Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks

The back-propagation (BP) algorithm has been considered the de-facto method for training deep neural networks. It back-propagates errors from the output layer to the hidden layers in an exact manner using the transpose of the feedforward weights. However, it has been argued that this is not biologically plausible because back-propagating error signals with the exact incoming weights is not considered possible in biological neural systems. In this work, we propose a biologically plausible paradigm of neural architecture based on related literature in neuroscience and asymmetric BP-like methods. Specifically, we propose two bidirectional learning algorithms with trainable feedforward and feedback weights. The feedforward weights are used to relay activations from the inputs to target outputs. The feedback weights pass the error signals from the output layer to the hidden layers. Different from other asymmetric BP-like methods, the feedback weights are also plastic in our framework and are trained to approximate the forward activations. Preliminary results show that our models outperform other asymmetric BP-like methods on the MNIST and the CIFAR-10 datasets.
Impact of Near-Surface Thermal Stresses on Interfacial Reliability of Through-Silicon Vias for 3-D Interconnects

Continual scaling of on-chip wiring structures has brought significant challenges for materials and processes beyond the 32-nm technology node in microelectronics. Recently, 3-D integration with through-silicon vias (TSVs) has emerged as an effective solution to meet the future interconnect requirement. Among others, thermomechanical reliability is a key concern for the development of TSV structures used in die stacking as 3-D interconnects. This paper examines the effects of thermally induced stresses on the interfacial reliability of TSV structures. First, 3-D distribution of the thermal stress near the TSV and the wafer surface is analyzed. Using a linear superposition method, a semianalytic solution is developed for a simplified structure consisting of a single TSV embedded in a silicon (Si) wafer. The solution is verified for relatively thick wafers by comparing to numerical results from finite element analysis (FEA). The stress analysis suggests interfacial delamination as a potential failure mechanism for the TSV structure. An analytical solution is then obtained for the steady-state energy release rate as the upper bound for the interfacial fracture driving force, while the effect of crack length is evaluated numerically by FEA. With these results, the effects of the TSV dimensions (e.g., via diameter and wafer thickness) on the interfacial reliability are elucidated. Furthermore, the effects of via material properties and dielectric buffer layers are discussed.
LHX3 Interacts with Inhibitor of Histone Acetyltransferase Complex Subunits LANP and TAF-1β to Modulate Pituitary Gene Regulation

LIM-homeodomain 3 (LHX3) is a transcription factor required for mammalian pituitary gland and nervous system development. Human patients and animal models with LHX3 gene mutations present with severe pediatric syndromes that feature hormone deficiencies and symptoms associated with nervous system dysfunction. The carboxyl terminus of the LHX3 protein is required for pituitary gene regulation, but the mechanism by which this domain operates is unknown. In order to better understand LHX3-dependent pituitary hormone gene transcription, we used biochemical and mass spectrometry approaches to identify and characterize proteins that interact with the LHX3 carboxyl terminus. This approach identified the LANP/pp32 and TAF-1β/SET proteins, which are components of the inhibitor of histone acetyltransferase (INHAT) multi-subunit complex that serves as a multifunctional repressor to inhibit histone acetylation and modulate chromatin structure. The protein domains of LANP and TAF-1β that interact with LHX3 were mapped using biochemical techniques. Chromatin immunoprecipitation experiments demonstrated that LANP and TAF-1β are associated with LHX3 target genes in pituitary cells, and experimental alterations of LANP and TAF-1β levels affected LHX3-mediated pituitary gene regulation. Together, these data suggest that transcriptional regulation of pituitary genes by LHX3 involves regulated interactions with the INHAT complex.