Miracle-dz/UniFAR-FTUs huggingface dataset:
A hardware-based remote attestation protocol in wireless sensor networks

Given the limited resources and computational power of current embedded sensor devices memory protection is difficult to achieve and generally unavailable. Hence, the buffer overflow that is used by the worm attacks in the Internet can be easily exploited to inject malicious code into Wireless Sensor Networks (WSNs). We designed a hardware-based remote attestation protocol to counter the buffer overflow attack. In our attestation protocol, each sensor node is equipped with a Trusted Platform Module (TPM) board. The TPM is responsible for content verification of the program flash. To the best of our knowledge, it is the first remote attestation protocol in WSNs with each sensor node equipped with TPM.
2.3 A 130-to-180GHz 0.0035mm2 SPDT switch with 3.3dB loss and 23.7dB isolation in 65nm bulk CMOS

Single-pole double-throw (SPDT) switches are a key building block for enabling transceiver time-division duplexing (TDD) when operated as a T/R switch or for eliminating imager fluctuations when operated as a Dicke switch. To provide acceptable compromises of IMF, Pout and sensitivity in transceivers or imagers, the switches are required to feature an insertion loss of ~3dB and an isolation of ~20dB. Recently, mm-Wave/sub-mm-Wave transceiver and imager integrated circuits have gradually migrated to silicon platforms for low-cost consumer markets [1,2]. However, the associated SPDT switches operating beyond 110GHz are developed using advanced SOI or SiGe HBT technologies [3,4] and rarely implemented in CMOS due to the lossy substrate and poor transistor characteristics [2,5].
Restoration of baroreflex function in patients with end-stage renal disease after renal transplantation.

BACKGROUND Renal transplantation improves the uraemic autonomic dysfunction and heart rate variability (HRV). The effects of successful transplantation on blood pressure variability (BPV) and baroreflex function are not well defined. METHODS BPV, HRV and baroreceptor indices were determined in (1) 52 non-diabetic chronic haemodialysis patients, (2) 44 transplanted patients, 24 in the first year after renal transplantation (< or =1 year) and 20 at least 1 year (>1 year) after renal transplantation, and (3) 41 control individuals with normal renal function, age-matched to (1) and (2). Power spectrum analysis of interbeat intervals (IBI) and systolic blood pressure (SBP) was performed in the low-frequency (LF 0.04-0.15 Hz) and the high-frequency (HF 0.15-0.40 Hz) bands. Spontaneous baroreceptor sensitivity (BRS) was determined by the sequence (slope) and spectral (alpha coefficient) techniques. RESULTS In haemodialysis patients, BPV was increased, while HRV, BRS slope and LF alpha and HF alpha coefficients were markedly decreased as compared to control individuals. Renal transplantation was associated with normalization of BPV at short term (< or =1 year) and long term and with improvement of HRV at a long-term (>1 year) follow-up. In patients with long-standing functioning grafts (>1 year), baroreceptor indices were significantly increased and returned to values similar to those of the control subjects. CONCLUSIONS Our data show that renal transplantation improves blood pressure and HRV and restores baroreflex function to near normal range on the long-term follow-up. These effects may contribute to the improvement of blood pressure control and survival after successful transplantation.
The Kestrel TTS text normalization system

Abstract This paper describes the Kestrel text normalization system, a component of the Google text-to-speech synthesis (TTS) system. At the core of Kestrel are text-normalization grammars that are compiled into libraries of weighted finite-state transducers (WFSTs). While the use of WFSTs for text normalization is itself not new, Kestrel differs from previous systems in its separation of the initial tokenization and classification phase of analysis from verbalization. Input text is first tokenized and different tokens classified using WFSTs. As part of the classification, detected semiotic classes – expressions such as currency amounts, dates, times, measure phases, are parsed into protocol buffers (https://code.google.com/p/protobuf/). The protocol buffers are then verbalized, with possible reordering of the elements, again using WFSTs. This paper describes the architecture of Kestrel, the protocol buffer representations of semiotic classes, and presents some examples of grammars for various languages. We also discuss applications and deployments of Kestrel as part of the Google TTS system, which runs on both server and client side on multiple devices, and is used daily by millions of people in nineteen languages and counting.
Skeletal muscle BOLD MRI: From underlying physiological concepts to its usefulness in clinical conditions

Blood oxygenation‐level dependent (BOLD) MRI has gained particular attention in functional brain imaging studies, where it can be used to localize areas of brain activation with high temporal resolution. To a higher degree than in the brain, skeletal muscles show extensive but transient alterations of blood flow between resting and activation state. Thus, there has been interest in the application of the BOLD effect in studying the physiology of skeletal muscles (healthy and diseased) and its possible application to clinical practice. This review outlines the potential of skeletal muscle BOLD MRI as a diagnostic tool for the evaluation of physiological and pathological alterations in the peripheral limb perfusion, such as in peripheral arterial occlusive disease. Moreover, current knowledge is summarized regarding the complex mechanisms eliciting BOLD effect in skeletal muscle. We describe technical fundaments of the procedure that should be taken into account when performing skeletal muscle BOLD MRI, including the most often applied paradigms to provoke BOLD signal changes and key parameters of the resulting time courses. Possible confounding effects in muscle BOLD imaging studies, like age, muscle fiber type, training state, and drug effects are also reviewed in detail. J. Magn. Reson. Imaging 2012;35:1253–1265. © 2012 Wiley Periodicals, Inc.
Bayesian position estimation of an industrial robot using multiple sensors

A modern industrial robot control system is often only based upon measurements from the motors of the manipulator. To perform good trajectory tracking on the arm side of the robot a very accurate description of the system must therefore be used. A sensor fusion technique is presented to achieve good estimates of the position of the robot using a very simple model. By using information from an accelerometer at the tool of the robot the effect of unmodelled dynamics can be measured. The estimate of the tool position can be improved to enhance accuracy. We formulate the computation of the position as a Bayesian estimation problem and propose two solutions. The first solution uses the extended Kalman filter (EKF) as a fast but linearized estimator. The second uses the particle filter, which can solve the Bayesian estimation problem without linearizations or any Gaussian noise assumptions. Since the aim is to use the positions estimates to improve position with an iterative learning control method, no computational constraints arise. The methods are applied to experimental data from an ABB IRB1400 commercial industrial robot and to data from a simulation of a realistic flexible robot model, showing a significant improvement in position accuracy.
Maps of protein structure space reveal a fundamental relationship between protein structure and function

To study the protein structure–function relationship, we propose a method to efficiently create three-dimensional maps of structure space using a very large dataset of > 30,000 Structural Classification of Proteins (SCOP) domains. In our maps, each domain is represented by a point, and the distance between any two points approximates the structural distance between their corresponding domains. We use these maps to study the spatial distributions of properties of proteins, and in particular those of local vicinities in structure space such as structural density and functional diversity. These maps provide a unique broad view of protein space and thus reveal previously undescribed fundamental properties thereof. At the same time, the maps are consistent with previous knowledge (e.g., domains cluster by their SCOP class) and organize in a unified, coherent representation previous observation concerning specific protein folds. To investigate the function–structure relationship, we measure the functional diversity (using the Gene Ontology controlled vocabulary) in local structural vicinities. Our most striking finding is that functional diversity varies considerably across structure space: The space has a highly diverse region, and diversity abates when moving away from it. Interestingly, the domains in this region are mostly alpha/beta structures, which are known to be the most ancient proteins. We believe that our unique perspective of structure space will open previously undescribed ways of studying proteins, their evolution, and the relationship between their structure and function.
Mobility and Generation of Mosaic Non-Autonomous Transposons by Tn3-Derived Inverted-Repeat Miniature Elements (TIMEs)

Functional transposable elements (TEs) of several Pseudomonas spp. strains isolated from black shale ore of Lubin mine and from post-flotation tailings of Zelazny Most in Poland, were identified using a positive selection trap plasmid strategy. This approach led to the capture and characterization of (i) 13 insertion sequences from 5 IS families (IS3, IS5, ISL3, IS30 and IS1380), (ii) isoforms of two Tn3-family transposons – Tn5563a and Tn4662a (the latter contains a toxin-antitoxin system), as well as (iii) non-autonomous TEs of diverse structure, ranging in size from 262 to 3892 bp. The non-autonomous elements transposed into AT-rich DNA regions and generated 5- or 6-bp sequence duplications at the target site of transposition. Although these TEs lack a transposase gene, they contain homologous 38-bp-long terminal inverted repeat sequences (IRs), highly conserved in Tn5563a and many other Tn3-family transposons. The simplest elements of this type, designated TIMEs (Tn3 family-derived Inverted-repeat Miniature Elements) (262 bp), were identified within two natural plasmids (pZM1P1 and pLM8P2) of Pseudomonas spp. It was demonstrated that TIMEs are able to mobilize segments of plasmid DNA for transposition, which results in the generation of more complex non-autonomous elements, resembling IS-driven composite transposons in structure. Such transposon-like elements may contain different functional genetic modules in their core regions, including plasmid replication systems. Another non-autonomous element “captured” with a trap plasmid was a TIME derivative containing a predicted resolvase gene and a res site typical for many Tn3-family transposons. The identification of a portable site-specific recombination system is another intriguing example confirming the important role of non-autonomous TEs of the TIME family in shuffling genetic information in bacterial genomes. Transposition of such mosaic elements may have a significant impact on diversity and evolution, not only of transposons and plasmids, but also of other types of mobile genetic elements.
A Localization Technique in Wireless Sensor Network based on Angle of Arrival

Wireless sensor network (WSN) consists many sensor nodes across the network. In this paper every sensor node is aware about the physical position of sensor nodes in wireless sensor network. The determination of position of sensor nodes can be released in range measurements including angle of arrival. We proposed a new localization technique based on angle-of- arrival between sensor nodes in a particular area of Wireless sensor network. This technique is derived under the assumption of angle measurement. This article emphasizes the basic localization technique to understand the angle-of-arrival of sensor nodes and to make progress in new and large open area of sensor network localization research.
Social Competence Intervention Program

Abstract The social competence intervention program (SCIP) is a multi-sensory intervention that includes a metacognitive component. The underlying assumption of the intervention is that some children suffer from perceptual and interpretive deficits as well as poor social skills. In this pilot program, we adapted exercises used in theatre classes to remediate these underlying deficits in children with learning disabilities and attention deficit disorders. Anecdotal evidence from the pilot study suggests that participating children began to develop some self-awareness of their feelings and behaviors and the subsequent impact on social interaction. Future refinements based on the results of this pilot are discussed.
A critical role for suppressors of cytokine signaling 3 in regulating LPS-induced transcriptional activation of matrix metalloproteinase-13 in osteoblasts

Suppressor of cytokine signaling 3 (SOCS3) is a key regulator of cytokine signaling in macrophages and T cells. Although SOCS3 seems to contribute to the balance between the pro-inflammatory actions of IL-6 family of cytokines and anti-inflammatory signaling of IL-10 by negatively regulating gp130/Jak/Stat3 signal transduction, how and the molecular mechanisms whereby SOCS3 controls the downstream impact of TLR4 are largely unknown and current data are controversial. Furthermore, very little is known regarding SOCS3 function in cells other than myeloid cells and T cells. Our previous study demonstrates that SOCS3 is expressed in osteoblasts and functions as a critical inhibitor of LPS-induced IL-6 expression. However, the function of SOCS3 in osteoblasts remains largely unknown. In the current study, we report for the first time that LPS stimulation of osteoblasts induces the transcriptional activation of matrix metalloproteinase (MMP)-13, a central regulator of bone resorption. Importantly, we demonstrate that SOCS3 overexpression leads to a significant decrease of LPS-induced MMP-13 expression in both primary murine calvariae osteoblasts and a mouse osteoblast-like cell line, MC3T3-E1. Our findings implicate SOCS3 as an important regulatory mediator in bone inflammatory diseases by targeting MMP-13.
Accurate measurement of intrathoracic airways

Airway geometry measurements can provide information regarding pulmonary physiology and pathophysiology. There has been considerable interest in measuring intrathoracic airways in two-dimensional (2-D) slices from volumetric X-ray computed tomography (CT). Such measurements can be used to evaluate and track the progression of diseases affecting the airways. A popular airway measurement method uses the "half-max" criteria, in which the gray level at the airway wall is estimated to be halfway between the minimum and maximum gray levels along a ray crossing the edge. However, because the scanning process introduces blurring, the half-max approach may not be applicable across all airway sizes. The authors propose a new measurement method based on a model of the scanning process. In their approach, they examine the gray-level profile of a ray crossing the airway wall and use a maximum-likelihood method to estimate the airway inner and outer radius. Using CT scans of a physical phantom, the authors present results showing that the new approach is more accurate than the half-max method at estimating wall location for thin-walled airways.
Exploration and Traversable Area Marking for the VisualSLAM

This paper deals with the exploration strategy for a robot during exploration and 3D map building in an unknown environment. The mapping algorithm detects the significant features, finds correspondences in both images, matches them together and computes their 3D coordinates. This way the robot incrementally creates a 3D map of its surroundings and it tries to explore as much area as possible. The first part of this paper describes the way of marking the traversable path in the map created so far. In the second part the goal point selection and the path planning to this goal point are described. As the map uses points and triangles to represent the shape of the surface, the traversable area marking and the path planning is also done in the map which is represented in the same way.
Graph Embedding Techniques for Bounding Condition Numbers of Incomplete Factor Preconditioners

We extend graph embedding techniques for bounding the spectral condition number of preconditioned systems involving symmetric, irreducibly diagonally dominant M-matrices to systems where the preconditioner is not diagonally dominant. In particular, this allows us to bound the spectral condition number when the preconditioner is based on an incomplete factorization. We provide a review of previous techniques, describe our extension, and give examples both of a bound for a model problem, and of ways in which our techniques give intuitive way of looking at incomplete factor preconditioners.
Macaque societies : a model for the study of social organization

List of contributors Acknowledgements Introduction: 1. Why macaque societies? Bernard Thierry, Mewa Singh and Werner Kaumanns Part I. Individual Attributes: 2. Personality factors between and within species John P. Capitanio Box 2. Social intelligence Josep Call 3. The role of emotions in social relationships Filippo Aureli and Gabriele Schino Box 3. Power and communication Signe Preuschoft 4. Reproductive life history Fred Bercovitch and Nancy Harvey Box 4. Life history traits: ecological adaptations or phylogenetic relics? Mewa Singh and Anindya Sinha Part II. Demography and Reproductive Systems: 5. Demography: a window to social evolution Wolfgang Dittus Box 5. Patterns of group fission Kyoko Okamoto 6. Gene flow, dispersal patterns, and social organization Helene Gachot-Neveu and Nelly Menard Box 6. Dominance and paternity Andreas Paul 7. Mating systems Joseph Soltis Box 7. Homosexual behavior Paul L. Vasey Part III. Social Relationships and Networks: 8. Dominance style, social power, and conflict management: a conceptual framework Jessica C. Flack and Frans B. M. de Waal Box 8. Social space and degrees in freedom Marina Butovskaya 9. How kinship generates dominance structures: a comparative perspective Bernard Chapais Box 9. Inter-group relationships Matthew A. Cooper 10. Intergenerational transmission of behavior Christophe Chauvin and Carol M. Berman Box 10. Maternal behavior, infant handling, and socialization Dario Maestripieri Part IV. External and Internal Constraints: 11. Do ecological factors explain variation in social organizations? Nelly Menard Box 11. Intraspecific variation: implications for interspecific comparisons David A. Hill 12. Social epigenesis Bernard Thierry Box 12. The role of contingency in evolution Christophe Abegg 13. The use of artificial-life models for the study of social organization Charlotte K. Hemelrijk Box 13. Primate behaviors and natural selection William A. Mason Part V. An Outside Viewpoint: 14. An anthropologist among macaques Maurice Godelier Box 14. Do macaque species have a future? Yasuyuki Muroyama and Ardith A. Eudey Conclusion: 15. Toward integrating the multiple dimensions of societies Bernard Thierry, Mewa Singh and Werner Kaumann References Index.
Agrin and Perlecan Mediate Tumorigenic Processes in Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma is the most common type of cancer in the oral cavity, representing more than 90% of all oral cancers. The characterization of altered molecules in oral cancer is essential to understand molecular mechanisms underlying tumor progression as well as to contribute to cancer biomarker and therapeutic target discovery. Proteoglycans are key molecular effectors of cell surface and pericellular microenvironments, performing multiple functions in cancer. Two of the major basement membrane proteoglycans, agrin and perlecan, were investigated in this study regarding their role in oral cancer. Using real time quantitative PCR (qRT-PCR), we showed that agrin and perlecan are highly expressed in oral squamous cell carcinoma. Interestingly, cell lines originated from distinct sites showed different expression of agrin and perlecan. Enzymatically targeting chondroitin sulfate modification by chondroitinase, oral squamous carcinoma cell line had a reduced ability to adhere to extracellular matrix proteins and increased sensibility to cisplatin. Additionally, knockdown of agrin and perlecan promoted a decrease on cell migration and adhesion, and on resistance of cells to cisplatin. Our study showed, for the first time, a negative regulation on oral cancer-associated events by either targeting chondroitin sulfate content or agrin and perlecan levels.
Sequential Matrix Completion

We propose a novel algorithm for sequential matrix completion in a recommender system setting, where the $(i,j)$th entry of the matrix corresponds to a user $i$'s rating of product $j$. The objective of the algorithm is to provide a sequential policy for user-product pair recommendation which will yield the highest possible ratings after a finite time horizon. The algorithm uses a Gamma process factor model with two posterior-focused bandit policies, Thompson Sampling and Information-Directed Sampling. While Thompson Sampling shows competitive performance in simulations, state-of-the-art performance is obtained from Information-Directed Sampling, which makes its recommendations based off a ratio between the expected reward and a measure of information gain. To our knowledge, this is the first implementation of Information Directed Sampling on large real datasets. This approach contributes to a recent line of research on bandit approaches to collaborative filtering including Kawale et al. (2015), Li et al. (2010), Bresler et al. (2014), Li et al. (2016), Deshpande & Montanari (2012), and Zhao et al. (2013). The setting of this paper, as has been noted in Kawale et al. (2015) and Zhao et al. (2013), presents significant challenges to bounding regret after finite horizons. We discuss these challenges in relation to simpler models for bandits with side information, such as linear or gaussian process bandits, and hope the experiments presented here motivate further research toward theoretical guarantees.