Miracle-dz/UniFAR-FTUs huggingface dataset:
On cross-frequency phase-phase coupling between theta and gamma oscillations in the hippocampus

Phase-amplitude coupling between theta and multiple gamma sub-bands is a hallmark of hippocampal activity and believed to take part in information routing. More recently, theta and gamma oscillations were also reported to exhibit phase-phase coupling, or n:m phase-locking, suggesting an important mechanism of neuronal coding that has long received theoretical support. However, by analyzing simulated and actual LFPs, here we question the existence of theta-gamma phase-phase coupling in the rat hippocampus. We show that the quasi-linear phase shifts introduced by filtering lead to spurious coupling levels in both white noise and hippocampal LFPs, which highly depend on epoch length, and that significant coupling may be falsely detected when employing improper surrogate methods. We also show that waveform asymmetry and frequency harmonics may generate artifactual n:m phase-locking. Studies investigating phase-phase coupling should rely on appropriate statistical controls and be aware of confounding factors; otherwise, they could easily fall into analysis pitfalls. DOI: http://dx.doi. org/10.7554/eLife.20515. 001
Indoor Navigation on Google Maps and Indoor Localization Using RSS Fingerprinting

Contrasting to advances in street/outdoor navigation, wall mounted maps and signs continue to be the primary reference indoor navigation in hospitals, malls, museums, etc. The proliferation of mobile devices and the growing demand for location aware systems that filter information based on currently device location have led to an increase in research and product development in this field. An attempt has been made to provide solution for indoor navigation on Google maps and to provide location of a user in a building using Wi-Fi signal strength on android Smartphone.
Purification of an 80,000-dalton protein that is a component of the isolated microvillus cytoskeleton, and its localization in nonmuscle cells

The microvillus cytoskeleton, isolated from chicken intestinal epithelial cell brush borders, is known to contain five major protein components, the 110,000-dalton polypeptide, villin (95,000 daltons), fimbrin (68,000 daltons), actin (43,000 daltons), and calmodulin (17,000 daltons). In this paper we describe our first step in studying the minor components of the isolated core. We have so far identified and purified an 80,000-dalton polypeptide that was present in the isolated structure in approximately 0.7% the molar abundance of actin. Antibodies to the 80,000-dalton component did not react with other microvillus core proteins, and, when used in indirect immunofluorescence microscopy, they stained the microvilli of intestinal epithelial cells fixed in situ. The 80,000-dalton component therefore appears to be a newly-identified, authentic component of intestinal microvilli in vivo and of isolated microvillus cores. Immunological studies demonstrate that the 80,000-dalton component is widely distributed in nonmuscle cells. Indirect immunofluorescence microscopy reveals that it is particularly enriched in surface structures, such as blebs, microvilli, and retraction fibers of cultured cells.
Towards a robust real-time decoder

We present several algorithms that speed up our BBN BYBLOS decoder. We briefly describe the techniques that we have used before this year. Then we present new techniques that speed up the recognition search by a factor of 10 with little effect on accuracy using a combination of fast Gaussian computation, grammar spreading, and grammar caching, within the 2-pass n-best paradigm. We also describe our decoder metering strategy, which allows us to conveniently test for search errors. Finally, we describe a grammar compression technique that decreases the storage needed for each additional ngram to only 10 bits.
Optimal Best Arm Identification with Fixed Confidence

We give a complete characterization of the complexity of best-arm identification in one-parameter bandit problems. We prove a new, tight lower bound on the sample complexity. We propose the `Track-and-Stop' strategy, which we prove to be asymptotically optimal. It consists in a new sampling rule (which tracks the optimal proportions of arm draws highlighted by the lower bound) and in a stopping rule named after Chernoff, for which we give a new analysis.
Symbolic Dynamics of Heart Rate Variability: A Probe to Investigate Cardiac Autonomic Modulation

Background—Sympathetic and parasympathetic systems are considered the principal rapidly reacting systems that control heart rate. Methods and Results—We propose a symbolic analysis series to quantify the prevalence of sympathetic or parasympathetic cardiac modulation. This analysis decomposes the heart rate variability series in patterns lasting 3 beats and classifies them into 3 categories: nonvariable, variable, and very variable patterns referred to as 0V, 1V, and 2V patterns. First, we applied this method to experimental and pharmacological conditions characterized by sympathetic activation (tilt test, handgrip, nitroprusside, and high-dose atropine administration) or parasympathetic activation (phenylephrine and low-dose atropine administration) in 60 healthy subjects. An increase in sympathetic modulation and a vagal withdrawal elicited a significant increase in 0V patterns and a decrease in 2V patterns, whereas parasympathetic dominance induced the opposite, reflecting a reciprocal sympathovagal balance. The second part of the study considered a series of 300 beats before the onset of major arrhythmic events in patients with an implantable cardioverter-defibrillator. Symbolic analysis detected an increase in the percentage of 0V patterns before the onset of major arrhythmias compared with baseline (41.6±3.9% and 24.4±2.9%, respectively; P<0.01), indicating a sympathetic prevalence. On the other hand, the 2V patterns did not decrease before major arrhythmias, suggesting the presence of nonreciprocal autonomic modulations. Conclusions—Symbolic analysis of 3 beat sequences takes into account the different time course of sympathetic and parasympathetic cardiac modulations and seems appropriate for elucidating the neural pathophysiological mechanisms occurring during the short periods that precede acute cardiac events.
Towards Understanding LES and DES for Industrial Aeroacoustic Predictions

Computational Aeroacoustics combines the multi-disciplines of Computational Fluid Dynamics and Computational Acoustics. The former solves the time-dependant Navier-Stokes equations but relies on modelling turbulence, which is central to the correct prediction of aeroacoustic sources. It must be capable of capturing narrowband and broadband acoustics, the former manifested as tonal modes that cause discomfort, and both types of which may be significant contributors to component fatigue failure. This paper describes an analysis process, which has begun to show substantial value in both the preliminary design and production life cycles. It is founded on LES-type turbulence modelling, hitherto almost exclusively the domain of research departments and institutions, yet latterly has potential to become an industrial analysis tool through the combined advance in processing power and efficiencies realised through Detached Eddy Simulation (DES) turbulence modelling.
Real-time Rendering of Complex Photorealistic Landscapes Using Hybrid Level-of-Detail Approaches

In this paper procedures are demonstrated by representing models and parts of the scene by dynamically changing sets of billboards. After a survey of existing literature in the next paragraphs we first present algorithms to optimally approximate plant models using billboards. Sect. 3 introduces methods to realistically illuminate these billboards, which is important for a realistic rendition of the scene and for a smooth transition from billboard approximation to the detailed geometry. The geometry is still needed for close-ups of the plants since billboard clouds do not completely avoid parallax errors and cannot represent the details of a geometry-based model. To allow the approximation of larger parts of the scene, square tiles in the background consisting of many plant models are represented by combined groups of billboards that can be displayed with a single rendercall per tile and not with a rendercall per position. Following the presentation and discussion of the results, we will outline our future works.
Target localization and circumnavigation by a non-holonomic robot

This paper addresses a surveillance problem in which the goal is to achieve a circular motion around a target by a non-holonomic agent. The agent only knows its own position with respect to its initial frame, and the bearing angle of the target in that frame. It is assumed that the position of the target is unknown. An estimator and a controller are proposed to estimate the position of the target and make the agent move on a circular trajectory with a desired radius around it. The performance of the proposed algorithm is verified both through simulations and experiments. Robustness is also established in the face of noise and target motion.
Phase III randomized study comparing docetaxel plus trastuzumab with vinorelbine plus trastuzumab as first-line therapy of metastatic or locally advanced human epidermal growth factor receptor 2-positive breast cancer: the HERNATA study.

PURPOSE To evaluate docetaxel or vinorelbine, both with trastuzumab, as first-line therapy of human epidermal growth factor receptor 2-positive advanced breast cancer. PATIENTS AND METHODS Patients naive to chemotherapy for advanced disease were randomly assigned to docetaxel 100 mg/m(2) day 1 or vinorelbine 30 to 35 mg/m(2) on days 1 and 8, both combined with trastuzumab (8-mg/kg loading dose and 6-mg/kg maintenance dose) on day 1 every 3 weeks. The primary end point was time to progression (TTP). RESULTS A total of 143 patients were randomly allocated to docetaxel, and 141 patients were assigned to vinorelbine. The median TTP for docetaxel and vinorelbine respectively was 12.4 months versus 15.3 months (hazard ratio [HR] = 0.94; 95% CI, 0.71 to 1.25; P = .67), median overall survival was 35.7 months versus 38.8 months (HR = 1.01; 95% CI, 0.71 to 1.42; P = .98), and the 1-year survival rate was 88% in both arms. Median time to treatment failure for study chemotherapy was 5.6 months versus 7.7 months (HR = 0.50; 95% CI, 0.38 to 0.64; P < .0001). The investigator-assessed overall response rate among 241 patients with measurable disease were 59.3% in both arms. More patients in the docetaxel arm discontinued therapy due to toxicity (P < .001). Significantly more treatment-related grade 3 to 4 febrile neutropenia (36.0% v 10.1%), leucopenia (40.3% v 21.0%), infection 25.1% v 13.0%), fever (4.3% v 0%), neuropathy (30.9% v 3.6%), nail changes (7.9% v 0.7%), and edema (6.5% v 0%) were reported with docetaxel. CONCLUSION The study failed to demonstrate superiority of any drug in terms of efficacy, but the vinorelbine combination had significantly fewer adverse effects and should be considered as an alternative first-line option.
Video stabilization for stereoscopic 3D on 3D mobile devices

Advanced 3D mobile devices attract a lot of attentions for 3D visualization nowadays. Stereoscopic images and video taken from the 3D mobile devices are uncomfortable for 3D viewing experiences due to the limited hardware for stereoscopic 3D stabilization. The existing stereoscopic 3D stabilization methods are computationally inefficient for the 3D mobile devices. In this paper, we point out that the above critical issue deteriorates the 3D viewing experiences on the 3D mobile devices. To improve visual comfort, we propose an efficient and effective algorithm to stabilize the stereoscopic images and video for the 3D mobile devices. To rectify the video jitter, we use the gyroscope and accelerometer embedded on the mobile devices to obtain the geometry information of the cameras. Different from video-content-based motion estimation, our algorithm based on the gyroscope and acceleration data can achieve higher accuracy to effectively stabilize the video. Therefore, our approach is robust in video stabilization even under poor lighting and substantial foreground motion. Our algorithm outperforms previous approaches in not only smaller running time but also the better comfort of the stereoscopic 3D visualization for the 3D mobile devices.
Optimizing clustering algorithm in mobile ad hoc networks using simulated annealing

In this paper, we demonstrate how simulated annealing algorithm can be applied to clustering algorithms used in ad hoc networks; specifically our recently proposed weighted clustering algorithm (WCA) is optimized by simulated annealing. As the simulated annealing stands to be a powerful stochastic search method, its usage for combinatorial optimization problems was found to be applicable in our problem domain. The problem formulation along with the parameters is mapped to be an individual solution as an input to the simulated annealing algorithm. Input consists of a random set of clusterhead set along with its members and the set of all possible dominant sets chosen from a given network of N nodes as obtained from the original WCA. Simulated annealing uses this information to find the best solution defined by computing the objective function and obtaining the best fitness value. The proposed technique is such that each clusterhead handles the maximum possible number of mobile nodes in its cluster in order to facilitate the optimal operation of the MAC protocol. Consequently, it results in the minimum number of clusters and hence clusterheads. Simulation results exhibit improved performance of the optimized WCA than the original WCA.
Self-assembling peptides as biofunctional component in medical fabrics

The importance of medical fabrics is reflected by increased clinical need and consumption over the past decade in the health and medical sectors. Medical fabric products, including wound dressings, are currently defined as ‘medical devices’ by European legislation. To ensure effectiveness as a wound dressing, these fabrics should assist the repair process by providing sufficient protection against bacterial spread in the wound bed. Chronic wounds are an increasingly urgent health problem, owing to the rising population of elderly, obese and diabetic patients. When treating such wounds with drug releasing dressings, the immediate release of the drug is a common limitation. Thus, the development of smart drug delivery dressings that release antibacterial agents into the wound bed when required would be a useful aid in medicine. The overall aim of this study was to develop a wound dressing that was able to release the antibacterial agents only in the presence of bacteria. Medical dressings were treated with pH-responsive, self-assembling peptides as antibacterial carriers that were able to release the loaded drug when stimulated by the bacterial pH. A methodology developed for potential future medical application is presented. The preliminary design consisted of three stages. First, the self-assembled peptide candidates were studied and selected as drug carriers. Second, fabrics were treated with the selected self-assembled peptides using two different methods: (1) coating with the peptides from the outer surface by impregnating in peptide solution and (2) incorporating the self-assembled peptides within the structure by electrospinning. The treatment success of the dressing was investigated using a series of complementary techniques such as FTIR, TEM, SEM and CLSM. Third, potential effectiveness of the dressings was assessed in vitro using two antibiotics model, vancomycin and levofloxacin separately, against a Staphylococcus epidermidis bacterial strain, a species commonly found in infected wounds. The study findings clearly demonstrated the in vitro potential of self-assembling peptide technology in improving the function of medical fabrics.
An Efficient Pseudo-Random Generator with Applications to Public-Key Encryption and Constant-Round Multiparty Computation

We present a pseudo-random bit generator expanding a uniformly random bit-string r of length k/2, where k is the security parameter, into a pseudo-random bit-string of length 2k − log(k) using one modular exponentiation. In contrast to all previous high expansion-rate pseudo-random bit generators, no hashing is necessary. The security of the generator is proved relative to Paillier’s composite degree residuosity assumption. As a first application of our pseudo-random bit generator we exploit its efficiency to optimise Paillier’s crypto-system by a factor of (at least) 2 in both running time and usage of random bits. We then exploit the algebraic properties of the generator to construct an efficient protocol for secure constantround multiparty function evaluation in the cryptographic setting. This construction gives an improvement in communication complexity over previous protocols in the order of nk, where n is the number of participants and k is the security parameter, resulting in a communication complexity of O(nk|C|) bits, where C is a Boolean circuit computing the function in question. keywords: constant-round cryptographic protocols, multi-party computation, pseudo-random generator, public-key en-
Progress toward openness, transparency, and reproducibility in cognitive neuroscience

Accumulating evidence suggests that many findings in psychological science and cognitive neuroscience may prove difficult to reproduce; statistical power in brain imaging studies is low and has not improved recently; software errors in analysis tools are common and can go undetected for many years; and, a few large‐scale studies notwithstanding, open sharing of data, code, and materials remain the rare exception. At the same time, there is a renewed focus on reproducibility, transparency, and openness as essential core values in cognitive neuroscience. The emergence and rapid growth of data archives, meta‐analytic tools, software pipelines, and research groups devoted to improved methodology reflect this new sensibility. We review evidence that the field has begun to embrace new open research practices and illustrate how these can begin to address problems of reproducibility, statistical power, and transparency in ways that will ultimately accelerate discovery.
The Contributions of Cognitive Trainings to the Stability of Cognitive, Everyday, and Brain Functioning across Adulthood

This review covers the contributions of cognitive trainings to stability in cognitive, everyday, and brain functioning across adulthood. For these functional domains, relevant types of empirical evidence were defined for training-induced enhancement in absolute, differential, and dimensional stability in the light of developmental decline. The state of research regarding these types of evidence is presented. Little data were generally available on the effects of cognitive trainings on the stability of everyday and brain functioning and across all covered domains for their contributions to differential stability. There was sound empirical support for training-induced en- hancements of absolute and dimensional cognitive stability across adulthood. The theoretical, methodological, and practical implications of these findings are discussed.
Expressive Power-Based Resource Allocation for Data Centers

As data-center energy consumption continues to rise, efficient power management is becoming increasingly important. In this work, we examine the use of a novel market mechanism for finding the right balance between power and performance. The market enables a separation between a 'buyer side' that strives to maximize performance and a 'seller side' that strives to minimize power and other costs. A concise and scalable description language is defined for agent preferences that admits a mixedinteger program for computing optimal allocations. Experimental results demonstrate the robustness, flexibility, practicality and scalability of the architecture.
Laser-Induced Growth and Deposition of Noble-Metal Nanoparticles for Surface-Enhanced Raman Scattering

We describe laser-induced growth and deposition of gold and silver nanoparticles for use as surface-enhanced Raman scattering (SERS) substrates. The nanoparticles form at a glass surface in contact with an aqueous solution with metal ions and a reducing agent if the interface is illuminated with visible laser light. The technique thus allows for positioning of metal nanoparticles in devices with limited accessibility for optical sensing by SERS.
Stereo Vision Tracking of Multiple Objects in Complex Indoor Environments

This paper presents a novel system capable of solving the problem of tracking multiple targets in a crowded, complex and dynamic indoor environment, like those typical of mobile robot applications. The proposed solution is based on a stereo vision set in the acquisition step and a probabilistic algorithm in the obstacles position estimation process. The system obtains 3D position and speed information related to each object in the robot’s environment; then it achieves a classification between building elements (ceiling, walls, columns and so on) and the rest of items in robot surroundings. All objects in robot surroundings, both dynamic and static, are considered to be obstacles but the structure of the environment itself. A combination of a Bayesian algorithm and a deterministic clustering process is used in order to obtain a multimodal representation of speed and position of detected obstacles. Performance of the final system has been tested against state of the art proposals; test results validate the authors’ proposal. The designed algorithms and procedures provide a solution to those applications where similar multimodal data structures are found.
Pictorial essay. MR imaging appearance and classification of acromioclavicular joint injury.

1103 cromioclavicular joint dislocations are common injuries that are generally classified on routine radiography. However, classifying these lesions on MR imaging is different for two reasons. First, age-related acromioclavicular joint changes are almost universal in adults and, in some cases, cannot be reliably differentiated from acromioclavicular ligament sprains. Second, the supine position of the patient being scanned changes the relationship of the scapula to the clavicle and reduces the amount of gravity-assisted displacement classically used in radiographic classification schemes. The appearances of the surrounding soft tissues, rather than of the acromioclavicular joint itself, are useful in classification of acromioclavicular joint injuries and can be provided by MR imaging. In particular, the integrity of the coracoclavicular ligament plays a central role in this classification.
Revisiting redundant Booth with bias multipliers

Multiplication is an important mathematical operation in many microprocessor architectures. And, multipliers have evolved dramaticlly after the late 1970s and have gone through tremendous changes with an aim of reducing the area and delay. This paper presents and an extension to Booth-3 multiplication architecture by implementing the partial product matrix in redundant form. It is anticipated that by employing redundant encoding possibilities within larger operand sizes that the partial product matrix can be subtantially reduced. Further enhancements are presented to allow the multiplier to compute two's complement numbers and clarification on previous algorithms to allow efficient sign extension with signed numbers is also presented. Results in a 65nm technology indicate that redundant Booth multipliers have the potential to improve upon traditional high radix Booth multiplication architectures.