Miracle-dz/UniFAR-FTUs huggingface dataset:
modENCODE consortia ChIP-seq guidelines and practices of the ENCODE and Material Supplemental

References http://genome.cshlp. org/content/22/9/1813.full. html#ref-list-1 This article cites 51 articles, 15 of which can be accessed free at: Open Acces Open Access option. Genome R search Freely available online through the License C mons C ative . http://creativecommons.org/licenses/by-nc/3.0/ described at as a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), ). After six months, it is available under http://genome.cshlp. org/site/misc/terms.xhtml for the first six months after the full-issue publication date (see is distributed xclusiv ly by Cold Spring Harbor Laboratory Press service Email l r i g click here t p right c rner of the a ticle or Receive free mail al r s when ne articles cit this article sign up in the box at the http://genome.cshlp. org/subscriptions go to: Genome Research To subscribe to
ProxiMate: proximity-based secure pairing using ambient wireless signals

Forming secure associations between wireless devices that do not share a prior trust relationship is an important problem. This paper presents ProxiMate, a system that allows wireless devices in proximity to securely pair with one another autonomously by generating a common cryptographic key directly from their shared time-varying wireless environment. The shared key synthesized by ProxiMate can be used by the devices to authenticate each others' physical proximity and then to communicate confidentially. Unlike traditional pairing approaches such as Diffie-Hellman, ProxiMate is secure against a computationally unbounded adversary and its computational complexity is linear in the size of the key. We evaluate ProxiMate using an experimental prototype built using an open-source software-defined platform and demonstrate its effectiveness in generating common secret bits. We further show that it is possible to speed up secret key synthesis by monitoring multiple RF sources simultaneously or by shaking together the devices that need to be paired. Finally, we show that ProxiMate is resistant to even the most powerful attacker who controls the public RF source used by the legitimate devices for pairing.
Neuronal Nitric-oxide Synthase Mutant (Ser-1412 → Asp) Demonstrates Surprising Connections between Heme Reduction, NO Complex Formation, and Catalysis*

Rat neuronal NO synthase (nNOS) contains an Akt-dependent phosphorylation motif in its reductase domain. We mutated a target residue in that site (Ser-1412 to Asp) to mimic phosphorylation and then characterized the mutant using conventional and stopped-flow spectroscopies. Compared with wild-type, S1412D nNOS catalyzed faster cytochrome c and ferricyanide reduction but displayed slower steady-state NO synthesis with greater uncoupling of NADPH oxidation. Paradoxically, the mutant had faster heme reduction, faster heme-NO complex formation, and greater heme-NO complex accumulation at steady state. To understand how these behaviors related to flavin and heme reduction rates, we utilized three soybean calmodulins (CaMs) that supported a range of slower flavin and heme reduction rates in mutant and wild-type nNOS. Reductase activity and two catalytic parameters (speed and amount of heme-NO complex formation) related directly to the speed of flavin and heme reduction. In contrast, steady-state NO synthesis increased, reached a plateau, and then fell at the highest rate of heme reduction that was obtained with S1412D nNOS + CaM. Substituting with soybean CaM slowed heme reduction and increased steady-state NO synthesis by the mutant. We conclude the following. 1) The S1412D mutation speeds electron transfer out of the reductase domain. 2) Faster heme reduction speeds intrinsic NO synthesis but diminishes NO release in the steady state. 3) Heme reduction displays an optimum regarding NO release during steady state. The unique behavior of S1412D nNOS reveals the importance of heme reduction rate in controlling steady-state activity and suggests that nNOS already has a near-optimal rate of heme reduction.
Facts and Fallacies of Reuse in Practice

Despite the positive effects of reuse claimed in a significant amount of research, anecdotal evidence indicates that industry is not yet experiencing the expected benefit. This dissertation proposal aims to investigate these indicators and therefore addresses reuse from an industrial point of view. As a first step, it empirically assesses the general state of reuse in practice. This is achieved via a large-scale online questionnaire distributed to multiple companies. Complementing the questionnaire, extensive interviews are being scheduled with developers and project managers of the respective companies. The goal is to interview approximately 10 employees per company. Three companies have already committed to the interview phase and contact with seven further companies is currently being established. In a second step, the findings of the study will be used to extract the context and type of reuse, as well as success factors and hindrances. This information forms the basis for an analytical assessment model for internal code reuse, which is developed in a third step. It will capture a range of different aspects of reuse in practice and will be combined with a process to evaluate the adequacy of reuse. The planned result is a larger assessment framework for evaluating the reuse (management) process within a project as well as a multi-project context. As a result, guidelines for code organization should be developed and tested for their effects in improving reuse in one or more of the industrial partners projects.
Common-mode voltage reduction for medium-voltage current source converters by optimizing switching sequences

Common-mode voltages (CMVs) can lead to premature failure of the motor insulation system in medium-voltage (MV) current source drives. This paper proposes a novel space-vector modulation (SVM) based gating strategy that can significantly reduce the peak CMV by optimizing the switching sequences for MV current source converters (CSCs). In the proposed method, the switching sequence of one side of the CSC is fixed and the sequence of the other side is selected to produce the minimum peak CMV. The optimization process is based on the CMV calculation for all the possible switching sequence combinations. To validate the proposed concept, different SVM based control schemes for CSCs are investigated. The results show the effectiveness of the proposed concept. In addition, the proposed strategy can be easily implemented in software and requires no extra hardware. By using this method, the CMV stress of the motor is reduced significantly and the size/weight for the common-mode choke can also be reduced.
Cognitive–behavioural therapy in medication-treated adults with attention-deficit/hyperactivity disorder and co-morbid psychopathology: a randomized controlled trial using multi-level analysis

Background Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by high rates of co-morbid psychopathology. Randomized controlled trials of multimodal interventions, combining pharmacological and psychological treatments, have shown a robust treatment effect for ADHD symptoms but outcomes for co-morbid symptoms have been mixed. This may be accounted for by the type of intervention selected and/or by methodological problems including lack of follow-up and low power. The current study addressed these limitations in a parallel-group randomized controlled trial conducted in Iceland. Method A total of 95 adult ADHD patients who were already being treated with medication (MED) were randomly assigned to receive treatment as usual (TAU/MED) or 15 sessions of cognitive–behavioural therapy (CBT/MED) using the R&R2ADHD intervention which employs both group and individual modalities. Primary measures of ADHD symptoms and severity of illness, and secondary measures of anxiety, depression and quality of life were given at baseline, end of treatment and 3-month follow-up. Primary outcomes were rated by clinicians blind to treatment condition assignment. Results CBT/MED showed overall (combined outcome at end of treatment and 3-month follow-up) significantly greater reduction in primary outcomes for clinician-rated and self-rated ADHD symptoms. Treatment effect of primary outcomes was maintained at follow-up, which suggests robust and lasting findings. In contrast to the primary outcomes, the secondary outcomes showed significant improvement over time. Conclusions The study provides evidence for the effectiveness of R&R2ADHD and demonstrates that there are differential effects over time for ADHD symptoms versus co-morbid problems, the latter taking longer to show positive effects.
Intelligent driving assistant based on accident risk maps analysis and intelligent driving diagnosis

This paper presents an intelligent driving assistant system based on artificial neural networks. Our proposal is aimed at achieving reliable driving recommendations by using accident risk maps analysis and intelligent driving diagnosis. This new approach is beneficial as it improves the way people can drive cars in potential accident risk areas. Experimental results and conclusions emphasizing the advantages of intelligent driving assistant in the improvement of the driving task are presented.
A Diffusion of Innovations Approach to Investigate the RFID Adoption in Taiwan Logistics Industry

Logistics tasks heavily depend on reliable shipment and accurate tracking information. For this reason, logistics today have evolved into a high-technology industry. Distribution is no longer simply about moving cargo on the road or via air from location A to B, but is a complex process based on intelligent system for sorting, planning, routing, and consolidation that supports faster transportation. [1] The purpose of this study was to investigate how RFID technology was implemented and adopted in Taiwan’s logistics industry. Specifically, this study focused on the positive influence of using RFID technology on the industry and the strategical benefits the RFID system had provided to companies, which had accepted and utilized this technology. This study also aimed to determine the concern factors of adopting the RFID system into current company management systems. An integral part of this research was to develop and to empirically test a model of the adoption of RFID in the context of the logistics industry in Taiwan. Based on the concepts of Rogers [2]-- the theory of technology diffusion, this research used a questionnaire to assess Taiwan logistics companies' cognition and perspective of the relative advantage, compatibility, complexity, trialability and observability of the RFID system; as well as to assess their attitudes toward the RFID system and intentions of using the system. Research findings revealed the attributes of innovations mentioned above were significantly positively associated with the adoption of RFID. According to the research results, managerial implications and opportunities for future research were discussed in the final.
Fast average gossiping under asymmetric links in WSNS

Wireless Sensor Networks are a recent technology where the nodes cooperate to obtain, in a totally distributed way, certain function of the collected data. An important example of these distributed processes is the average gossip algorithm, which allows the nodes to obtain the global average by only using local data exchanges. This process is traditionally slow, but can be accelerated by introducing geographic information or by exploiting the broadcast nature of the wireless medium. However, when a gossip protocol utilizes long geographic routes or broadcast communications, its convergence is not easily guaranteed due to asymmetry in communications. Alternatively, we propose an asymmetric version of the gossip algorithm that exploits residual information involved in each asymmetric exchange. Our asymmetric gossip algorithm achieves convergence faster than existing studies in the related literature. Numerical results are presented to show clearly the validity and efficiency of our approach.
Alterations of estrogen receptor-alpha and -beta in the anterior vaginal wall of women with urinary incontinence.

OBJECTIVES The objective was to investigate the alterations in estrogen receptor-alpha and -beta (ER-alpha and ER-beta) in the anterior vaginal wall of women with stress urinary incontinence (SUI). STUDY DESIGN Samples of the anterior vaginal wall were taken from 57 women, including 12 women with premenopausal SUI (pre-M SUI), 12 with premenopausal control (pre-M control), 19 with postmenopausal SUI (post-M SUI), and 14 with postmenopausal control (post-M control). The expressions of ER-alpha and ER-beta were assayed by immunohistochemistry and quantified with the H-score method. RESULTS Serum estradiol was significantly lower in the pre-M SUI than in the pre-M control group (P<0.01), but the difference between the post-M SUI and post-M control groups was not significant (P>0.05). ER-alpha in endothelia, smooth muscle cells, and fibrocytes were significantly lower in pre-M SUI than in pre-M control (P<0.01), but there were no significant differences of ER-alpha between the post-M SUI and post-M control groups (P>0.05). ER-beta in endothelia and fibrocytes were significantly lower in the pre-M SUI than in the pre-M control group (P<0.01), and ER-beta in fibrocytes was significantly lower in the post-M SUI than in the post-M control group (P<0.01). CONCLUSIONS Alterations in serum estradiol and its receptors (ER-alpha and ER-beta) in the anterior vaginal wall were demonstrated, suggesting their involvement in the occurrence of female SUI.
Effects of cationic porphyrins as G-quadruplex interactive agents in human tumor cells.

A series of cationic porphyrins has been identified as G-quadruplex interactive agents (QIAs) that stabilize telomeric G-quadruplex DNA and thereby inhibit human telomerase; 50% inhibition of telomerase activity was achieved in HeLa cell-free extract at porphyrin concentrations in the range < or = 50 microM. Cytotoxicity of the porphyrins in vitro was assessed in normal human cells (fibroblast and breast) and human tumor cells representing models selected for high telomerase activity and short telomeres (breast carcinoma, prostate, and lymphoma). In general, the cytotoxicity (EC50, effective concentration for 50% inhibition of cell proliferation) against normal and tumor cells was > 50 microM. The porphyrins were readily absorbed into tumor cell nuclei in culture. Inhibition of telomerase activity in MCF7 cells by subcytotoxic concentrations of TMPyP4 showed time and concentration dependence at 1-100 microM TMPyP4 over 15 days in culture (10 population doubling times). The inhibition of telomerase activity was paralleled by a cell growth arrest in G2-M. These results suggest that relevant biological effects of porphyrins can be achieved at concentrations that do not have general cytotoxic effects on cells. Moreover, the data support the concept that a rational, structure-based approach is possible to design novel telomere-interactive agents with application to a selective and specific anticancer therapy.
Smooth Shape-Based Interpolation using the Conjugate Gradient Method

In this paper a novel technique for smooth shapebased interpolation of volume data is introduced. Previously simple linear interpolation of signed distance maps has been used in practice. As it will be shown, this approach results in artifacts, since sharp edges appear along the original slices. In order to obtain a smooth 3D implicit function generated by interpolating 2D distance maps, we use a global interpolation method instead of a higher order local technique. The global curvature of the implicit function representing an isosurface is minimized using an iterative conjugate gradient method. Because of the iterative approach the user can easily control the trade-off between the smoothness of the isosurface and the computational cost of the refinement. As opposed to previous techniques, like variational interpolation, our method can generate a reasonably good approximation of the idealsolution in a significantly shorter time.
Handwritten Nastaleeq Script Recognition with BLSTM-CTC and ANFIS method

:- A recurrent neural network (RNN) has been successfully applied for recognition of cursive handwritten documents, both in English and Arabic scripts. Ability of RNNs to model context in sequence data like speech and text makes them a suitable candidate to develop OCR systems for printed Nastaleeq scripts (including Nastaleeq for which no OCR system is available to date). In this work, we have presented the results of applying RNN to printed Urdu text in Nastaleeq script. Bidirectional Long Short Term Memory (BLSTM) architecture with Connectionist Temporal Classification (CTC) output layer was employed to recognize printed Urdu text. The propose method use multidimensional BLSTM and ANFIS Method for OCR recognition. The ANFIS approach learns the rules and membership functions from data. ANFIS is an adaptive network. An adaptive network is network of nodes and directional links. These networks are learning a relationship between inputs and outputs. The Recognition error rate is 5.4 %. These results were obtained on synthetically generated UPTI dataset containing artificially degraded images to reflect some real-world scanning artifacts along with clean images. Comparison with shape-matching based method is also presented.
WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus

In this paper, we propose an approach to build a multi-way concept hierarchy from a text corpus, which is based on WordNet and multi-way hierarchical clustering. In addition, a new evaluation metric is presented, and our approach is compared with 4 kinds of existing methods on the Amazon Customer Review data set.
Demonstrations of gravity-independent mobility and drilling on natural rock using microspines

The video presents microspine-based anchors being developed for gripping rocks on the surfaces of comets and asteroids, or for use on cliff faces and lava tubes on Mars. Two types of anchor prototypes are shown on supporting forces in all directions away from the rock; >;160 N tangent, >;150 N at 45°, and >;180 N normal to the surface of the rock. A compliant robotic ankle with two active degrees of freedom interfaces these anchors to the Lemur IIB robot for future climbing trials. Finally, a rotary percussive drill is shown coring into rock regardless of gravitational orientation. As a harder-than-zero-g proof of concept, inverted drilling was performed creating 20mm diameter boreholes 83 mm deep in vesicular basalt samples while retaining 12 mm diameter rock cores in 3-6 pieces.
Ocean Red Tide Recognizing Method Based Neural Network Ensembles

There are almost more than 4,000 sorts of algae which could result in the red tide in the world, but only two or three, named the dominant species, place a premium on red tide at a time. This paper presents a method which uses the hyper-spectral images of different familiar dominant species to train the different networks respectively, then synthesizes the outputs of the networks with the same weight to recognize the red tide. It not only conquers the difficulties that are the selection of the training data and the network's training method, but also improves the generalization ability of the network system effectively. On the other hand, based on the neural network ensembles, the red tide recognition model could be extended easily and need not remodel the other networks. A mass of comparison experiments prove that the method recognizes the red tide and the dominant species effectively
Sertraline in the treatment of co-occurring alcohol dependence and posttraumatic stress disorder.

BACKGROUND Posttraumatic stress disorder (PTSD) frequently co-occurs with alcohol use disorders. This study investigated the use of sertraline, a serotonin reuptake inhibitor, in treating co-occurring symptoms of alcohol dependence and PTSD. METHODS A total of 94 individuals with current alcohol dependence and PTSD were randomly assigned to receive sertraline (150 mg/day) or placebo for 12 weeks. Post hoc cluster analysis of baseline characteristics was used to define subgroups of participants. RESULTS There was a significant decrease in alcohol use during the trial in both the sertraline and the placebo groups. Cluster analysis revealed significant medication group by cluster interactions for alcohol-related outcomes. Sertraline-treated participants with less severe alcohol dependence and early-onset PTSD had significantly fewer drinks per drinking day (p < 0.001). For participants with more severe alcohol dependence and later onset PTSD, the placebo group had significantly greater decreases in drinks per drinking day (p < 0.01) and average number of drinks consumed per day (p < 0.05). CONCLUSIONS There may be subtypes of alcohol-dependent individuals who respond differently to serotonin reuptake inhibitor treatment. Further investigation of differential responders may lead to improvements in the pharmacological treatment of co-occurring alcohol dependence and PTSD.
Diversity Order Bounds for Wireless Relay Networks

This paper derives bounds on the diversity order and high SNR probability of outage behavior of wireless relay networks with arbitrary link connectivity between cooperating terminals. Single and multiple antennas per terminal are considered. Two general codebook generation schemes are analyzed and compared. Common codebook generation involves the source and all relays sharing a common randomly generated codebook, and encompasses many practical encoding schemes, including both repetition coding and space-time coding. Independent codebook generation involves the source and all relays employing independent randomly generated codebooks, and provides an information theoretic lower bound on the probability of outage of all achievable codebook generation schemes. The results indicate that although independent codebook generation does not offer any diversity gain over common codebook generation, it can offer a significant probability of outage improvement under certain conditions.
MACRO: an integrated MAC/routing protocol for geographic forwarding in wireless sensor networks

Sensor networks are characterized by limited battery supplies. Due to this feature, communication protocols specifically designed for these networks should be aimed at minimizing energy consumption. To this purpose, the sensor's capability of transmitting with different power levels can be exploited. With this in mind, in this paper an integrated MAC/routing protocol, called MACRO, which exploits the capability of sensor devices to tune their transmission power is introduced. The proposed protocol requires that each node only knows its own coordinates and the coordinates of the destination, but does not require any exchange of location information. In order to select the next relay node, a competition is triggered at each hop, so that the most energy efficient relay node is chosen. This is achieved through maximization of a newly introduced parameter, called weighted progress factor, which represents the progress towards the destination per unit of transmitted power. To this aim, an analytical framework which guarantees that MACRO performs the best choice is derived. MACRO performance is evaluated through ns-2 simulation and compared to other relevant routing schemes. Performance results show that the proposed protocol outperforms other solutions in terms of energy efficiency and boosts data aggregation.