Miracle-dz/UniFAR-FTUs huggingface dataset:
On using continuations in wireless sensor networks

We demonstrate deploying continuations dynamically into heterogeneous wireless sensor networks. Continuations include the computation code, collected sensor-based data and a partial view of the sensor network nodes, where the continuation travels. Here, continuations are considered resources in a sensor network and can be exposed to the world by means of the Computational REST. Services in the network can be dynamically composed from these continuations. This method has many uses in sensing and integrating sensor network's resources with the Web. We also provide simple mapping of the continuation structure to Constrained Application Protocol message structure. We demonstrate this method in IP-based resource constrained wireless sensor network.
Efficient reconstruction of block-sparse signals

In many sparse reconstruction problems, M observations are used to estimate K components in an N dimensional basis, where N > M ≫ K. The exact basis vectors, however, are not known a priori and must be chosen from an M × N matrix. Such under-determined problems can be solved using an ℓ<inf>2</inf> optimization with an ℓ<inf>1</inf> penalty on the sparsity of the solution. There are practical applications in which multiple measurements can be grouped together, so that K × P data must be estimated from M × P observations, where the ℓ<inf>1</inf> sparsity penalty is taken with respect to the vector formed using the ℓ<inf>2</inf> norms of the rows of the data matrix. In this paper we develop a computationally efficient block partitioned ho-motopy method for reconstructing K × P data from M × P observations using a grouped sparsity constraint, and compare its performance to other block reconstruction algorithms.
Cultural Inheritance, Gender, and Intergenerational Occupational Mobility: Evidence from a Developing Economy

This paper presents evidence on intergenerational occupational mobility from agriculture to the nonfarm sector using survey data from Nepal with a focus on the role played by cultural inheritance and gender norms. In the absence of credible instruments, the degree of selection on observables is used as a guide to the degree of selection on unobservables a la Altonji et. al. (2005) to address the unobserved genetic correlations. The results show that cultural inheritance plays a causal role in intergenerational occupational correlation between the mother and daughter. In contrast, there is no robust evidence that cultural inheritance is important for sons occupation choice. A moderate genetic correlation can easily explain away the estimated partial correlation in non-farm participation between the father and a son.
The Chromatin and Transcriptional Landscape of Native Saccharomyces cerevisiae Telomeres and Subtelomeric Domains

Saccharomyces cerevisiae telomeres have been a paradigm for studying telomere position effects on gene expression. Telomere position effect was first described in yeast by its effect on the expression of reporter genes inserted adjacent to truncated telomeres. The reporter genes showed variable silencing that depended on the Sir2/3/4 complex. Later studies examining subtelomeric reporter genes inserted at natural telomeres hinted that telomere position effects were less pervasive than previously thought. Additionally, more recent data using the sensitive technology of chromatin immunoprecipitation and massively parallel sequencing (ChIP-Seq) revealed a discrete and noncontinuous pattern of coenrichment for all three Sir proteins at a few telomeres, calling the generality of these conclusions into question. Here we combined the ChIP-Seq of the Sir proteins with RNA sequencing (RNA-Seq) of messenger RNAs (mRNAs) in wild-type and in SIR2, SIR3, and SIR4 deletion mutants to characterize the chromatin and transcriptional landscape of all native S. cerevisiae telomeres at the highest achievable resolution. Most S. cerevisiae chromosomes had subtelomeric genes that were expressed, with only ∼6% of subtelomeric genes silenced in a SIR-dependent manner. In addition, we uncovered 29 genes with previously unknown cell-type-specific patterns of expression. These detailed data provided a comprehensive assessment of the chromatin and transcriptional landscape of the subtelomeric domains of a eukaryotic genome.
Tell me when and why to do it! Run-time planner model updates via natural language instruction

Robots are currently being used in and developed for critical HRI applications such as search and rescue. In these scenarios, humans operating under changeable and high-stress conditions must communicate effectively with autonomous agents, necessitating that such agents be able to respond quickly and effectively to rapidly-changing conditions and expectations. We demonstrate a robot planner that is able to utilize new information, specifically information originating in spoken input produced by human operators. We show that the robot is able to learn the pre- and postconditions of previously-unknown action sequences from natural language constructions, and immediately update (1) its knowledge of the current state of the environment, and (2) its underlying world model, in order to produce new and updated plans that are consistent with this new information. While we demonstrate in detail the robot's successful operation with a specific example, we also discuss the dialogue module's inherent scalability, and investigate how well the robot is able to respond to natural language commands from untrained users.
Bandelet-based video inpainting

In this work, a framework for inpainting missing parts of a video sequence is presented. The first step in the algorithm consists of finding the geometrical flow of each frame in the video sequence by using the Bandelet transform. Consequently, each frame is segmented into a quadtree where each dyadic square regroups pixels sharing the same geometrical flow direction. Then, two cases are considered. The first case is concerned with the removal of non-stationary objects that occlude stationary background. For this, the missing portions of the video sequence are filled by searching for pairs of dyadic squares in the successive frames quadtrees that are valid neighbors to the dyadic squares at the boundary of the inpainting zone. The search for valid neighbors squares is accomplished by the minimization of a cost measure that studies the geometrical similarity of each pair of squares. Once neighbors squares are identified, the corresponding squares in the original frame images are used to fill-in the missing areas. The second case involves filling-in moving objects when they are partially occluded. For this, we propose a priority scheme to first inpaint the occluded moving objects and then fill-in the remaining area with stationary background using the method proposed for the first case. Optical flow is used here, which tells if an undamaged pixel is moving or is stationary. We evaluate the performance of our algorithm based on a set of video sequences with different types of occlusions.
Combined-modality treatment of solid tumors using radiotherapy and molecular targeted agents.

PURPOSE Molecular targeted agents have been combined with radiotherapy (RT) in recent clinical trials in an effort to optimize the therapeutic index of RT. The appeal of this strategy lies in their potential target specificity and clinically acceptable toxicity. DESIGN This article integrates the salient, published research findings into the underlying molecular mechanisms, preclinical efficacy, and clinical applicability of combining RT with molecular targeted agents. These agents include inhibitors of intracellular signal transduction molecules, modulators of apoptosis, inhibitors of cell cycle checkpoints control, antiangiogenic agents, and cyclo-oxygenase-2 inhibitors. RESULTS Molecular targeted agents can have direct effects on the cytoprotective and cytotoxic pathways implicated in the cellular response to ionizing radiation (IR). These pathways involve cellular proliferation, DNA repair, cell cycle progression, nuclear transcription, tumor angiogenesis, and prostanoid-associated inflammation. These pathways can also converge to alter RT-induced apoptosis, terminal growth arrest, and reproductive cell death. Pharmacologic modulation of these pathways may potentially enhance tumor response to RT though inhibition of tumor repopulation, improvement of tumor oxygenation, redistribution during the cell cycle, and alteration of intrinsic tumor radiosensitivity. CONCLUSION Combining RT and molecular targeted agents is a rational approach in the treatment of solid tumors. Translation of this approach from promising preclinical data to clinical trials is actively underway.
Privacy in the open: how attention mediates awareness and privacy in open-plan offices

The tension between privacy and awareness has been a persistent difficulty in distributed environments that support opportunistic and informal interaction. For example, many awareness systems that display 'always-on' video links or PC screen contents have been perceived as too invasive, even though functional real-world analogues, like open-plan offices, may provide even less privacy than their online counterparts. In this paper we explore the notion of privacy in open-plan real-world environments, in order to learn more about how it might be supported in distributed systems. From interviews and observations in four open-plan offices, we found that attention plays an important role in the management of both confidentiality and solitude. The public nature of paying attention allows people to build understandings of what objects in a space are legitimate targets for attention and allows people to advertise their interest in interaction. Our results add to what is known about how privacy works in real-world spaces, and suggest valuable design ideas that can help improve support for natural privacy control and interaction in distributed awareness systems.
Crossing the Rubicon: A Generic Intelligent Advisor

Recommender systems (RS) are being used by an increasing number of e-commerce sites to help consumers find the personally best products. We define here the criteria that a RS should satisfy, drawing on concepts from behavioral science, computational intelligence, and data mining. We present our conclusions from building the WiseUncle RS and give its general description. Rather than being an advisor for a particular application, WiseUncle is a generic RS, a platform for generating application-specific advisors.
Identifying Sentiment of Hookah-Related Posts on Twitter

Background The increasing popularity of hookah (or waterpipe) use in the United States and elsewhere has consequences for public health because it has similar health risks to that of combustible cigarettes. While hookah use rapidly increases in popularity, social media data (Twitter, Instagram) can be used to capture and describe the social and environmental contexts in which individuals use, perceive, discuss, and are marketed this tobacco product. These data may allow people to organically report on their sentiment toward tobacco products like hookah unprimed by a researcher, without instrument bias, and at low costs. Objective This study describes the sentiment of hookah-related posts on Twitter and describes the importance of debiasing Twitter data when attempting to understand attitudes. Methods Hookah-related posts on Twitter (N=986,320) were collected from March 24, 2015, to December 2, 2016. Machine learning models were used to describe sentiment on 20 different emotions and to debias the data so that Twitter posts reflected sentiment of legitimate human users and not of social bots or marketing-oriented accounts that would possibly provide overly positive or overly negative sentiment of hookah. Results From the analytical sample, 352,116 tweets (59.50%) were classified as positive while 177,537 (30.00%) were classified as negative, and 62,139 (10.50%) neutral. Among all positive tweets, 218,312 (62.00%) were classified as highly positive emotions (eg, active, alert, excited, elated, happy, and pleasant), while 133,804 (38.00%) positive tweets were classified as passive positive emotions (eg, contented, serene, calm, relaxed, and subdued). Among all negative tweets, 95,870 (54.00%) were classified as subdued negative emotions (eg, sad, unhappy, depressed, and bored) while the remaining 81,667 (46.00%) negative tweets were classified as highly negative emotions (eg, tense, nervous, stressed, upset, and unpleasant). Sentiment changed drastically when comparing a corpus of tweets with social bots to one without. For example, the probability of any one tweet reflecting joy was 61.30% from the debiased (or bot free) corpus of tweets. In contrast, the probability of any one tweet reflecting joy was 16.40% from the biased corpus. Conclusions Social media data provide researchers the ability to understand public sentiment and attitudes by listening to what people are saying in their own words. Tobacco control programmers in charge of risk communication may consider targeting individuals posting positive messages about hookah on Twitter or designing messages that amplify the negative sentiments. Posts on Twitter communicating positive sentiment toward hookah could add to the normalization of hookah use and is an area of future research. Findings from this study demonstrated the importance of debiasing data when attempting to understand attitudes from Twitter data.
Scar Remodeling with the Association of Monopolar Capacitive Radiofrequency, Electric Stimulation, and Negative Pressure

Abstract Objective: A study was established to objectively assess the effects of low-intensity electromagnetic and electric stimulation plus negative pressure on mature scars. Background: Radiofrequency plus negative pressure therapy demonstrated a favorable reorganization and regeneration of the collagen and elastic fibers and was proposed for the treatment of cellulitis and skin stretch marks. Methods: Twenty-six mature scars in 20 Caucasian patients (15 females and 5 males) were enrolled in the study. The treatments were carried out with a Class I, BF-type electromedical device equipped with a radiofrequency generator, an electric pulse generator, and a vacuum pump twice a week for 3 months. Corneometry, transepidermal water loss, elastometry, colorimetry, and three-dimensional skin surface pattern were objectively assessed with Multi Probe Adapter System MPA and PRIMOS pico. A subjective assessment was carried out with the VAS and PSAS scales. Each scar was compared before and after the treatment and with the skin in the corresponding healthy contralateral anatomical area at the same times. Results: Reduction of the scar surface wrinkling and overall scar flattening were demonstrated after the treatment. The scar slightly tended to approach the color and elasticity of healthy skin too. Conclusions: The combined local treatment of mature scars with low-intensity electromagnetic and electric stimulation in association with negative pressure might suggest a favorable synergic effect on the scar collagen and elastic fiber remodeling.
Paper No S1.4: “Continuous” Nanoscale Patterned Photoalignment for Thin Film Pancharatnam‐Berry Phase Diffractive Lens

In this paper, we disclosed the realization of a “continuous” nano‐structured alignment patterning for thin film Pancharatnam‐Berry phase (PBP) diffractive lens by the use of spatially linear polarized light converter technology. High optical quality thin liquid crystal polymer (LCP) film PBP lens with F number of 45.4 and a diffraction efficiency of 95.5%, operating in blue visible region has been demonstrated. The concave and convex polarization dependent property of the lens can be clearly observed by human eye, which is attractive in many display applications, for example, bifocal lens for eye glasses; camera zoom system; and polarization imaging.
On Optimization of Multiuser Systems Using Interference Calculus

In this paper the optimization of multiuser systems using Yates' interference calculus is considered. The framework has recently drawn some attention due to its generality. Focusing here on the power minimization problem it is shown that the framework allows to formulate equivalent optimization problems which can be solved by algorithms that have better convergence properties than the fixed-point approach of Yates. Several examples in the context of MMSE minimization are given.
Current Perspectives on HER2 Testing: A Review of National Testing Guidelines

Knowledge of HER2 status is a prerequisite when considering a patient's eligibility for Herceptin (trastuzumab) therapy. Accurate assessment of HER2 status is essential to ensure that all patients who may benefit from Herceptin are correctly identified. There are several assays available to determine HER2 status: the most common in routine clinical practice are immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH). Various factors can affect the results achieved with these assays, including the assay antibody/probe, the methodology and the experience of personnel. Many countries have implemented national testing guidelines in an attempt to standardize testing procedures and make results more accurate. These guidelines vary in the level of detail and the number of recommendations. This review looks at areas of consensus between the different national testing guidelines and highlights where errors may arise during the testing procedure. The key point underlined by this review is that whatever method is used to test for HER2 status, the technology must be validated first, and there must be regular internal and external quality control and quality assurance procedures.
Construction and Characterization of Normalized cDNA Libraries by 454 Pyrosequencing and Estimation of DNA Methylation Levels in Three Distantly Related Termite Species

In termites, division of labor among castes, categories of individuals that perform specialized tasks, increases colony-level productivity and is the key to their ecological success. Although molecular studies on caste polymorphism have been performed in termites, we are far from a comprehensive understanding of the molecular basis of this phenomenon. To facilitate future molecular studies, we aimed to construct expressed sequence tag (EST) libraries covering wide ranges of gene repertoires in three representative termite species, Hodotermopsis sjostedti , Reticulitermessperatus and Nasutitermestakasagoensis . We generated normalized cDNA libraries from whole bodies, except for guts containing microbes, of almost all castes, sexes and developmental stages and sequenced them with the 454 GS FLX titanium system. We obtained >1.2 million quality-filtered reads yielding >400 million bases for each of the three species. Isotigs, which are analogous to individual transcripts, and singletons were produced by assembling the reads and annotated using public databases. Genes related to juvenile hormone, which plays crucial roles in caste differentiation of termites, were identified from the EST libraries by BLAST search. To explore the potential for DNA methylation, which plays an important role in caste differentiation of honeybees, tBLASTn searches for DNA methyltransferases (dnmt1, dnmt2 and dnmt3) and methyl-CpG binding domain (mbd) were performed against the EST libraries. All four of these genes were found in the H . sjostedti library, while all except dnmt3 were found in R . speratus and N . takasagoensis . The ratio of the observed to the expected CpG content (CpG O/E), which is a proxy for DNA methylation level, was calculated for the coding sequences predicted from the isotigs and singletons. In all of the three species, the majority of coding sequences showed depletion of CpG O/E (less than 1), and the distributions of CpG O/E were bimodal, suggesting the presence of DNA methylation.
Removal of temperature-induced strain variations for fatigue crack growth detection in a real aeronautical structure

Many structural health monitoring techniques suffer from high sensitivity to operational and environmental variations that often hide the effect of anomalies in the measured signals. This may result in a high number of false alarms caused by natural, contingent variations of loa d, temperature and humidity, just to name a few. Cointegration, originally developed in the econometrics field, proved to be a promising data-driven method for the identification and removal of long-term trends in time series data. Later, applications of cointegration to structural health monitoring data have demonstrated the ability to remove trends caused by naturally occurring changes of the baseline structure's dynamic or quasistatic response in the monitored features. Th is work presents the application of cointegration to a full-scale aeronautical stiffened structure, consisting of a tail boom of a military helicopter subject to fatigue crack growth. A constant-amplitude load caused fatigue crack propagation from an artificial notch at a riveted joint. During the full-scale test, a fatigue crack monitoring system based on real-time distributed strain measures by a fiber Bragg grating (FBG) se nsor n twork was dedicated to the real-time damage identification. However, strain measures by FBGs are known to be extremely sensitive to temperature variations thus strongly affecting the robustness of any selected feature dependent on the strain field. The objective of this paper is to show the effectiveness of cointegration in working as environmental compensator in a realistic, though rather simplified, case study. The effect of temperature change is filter ed from the strain signals acquired during the test thus emphasizing the effect of damage on the strain field pattern and providing a more robust feature for damage identification.
Cause of Death and the Quest for Meaning After the Loss of a Child

This study examined patterns of making meaning among 155 parents whose children died from a variety of violent and non-violent causes. Findings indicated 53% of violent loss survivors could not make sense of their loss, as compared to 32% of non-violent loss survivors. Overall, there was overlap in sense-making strategies across different causes of death, with many parents invoking spiritual and religious meanings and the cultivation of empathy for the suffering of others. Nonetheless, violent loss survivors described the imperfection of the world and brevity of life more frequently in their narrative responses than parents who lost a child to natural causes, who in turn were more likely to find benefit in the loss in terms of personal growth. Violent loss survivors—and especially those losing a child to homicide—also reported enhanced appreciation of life more frequently than survivors of non-violent losses, and surviving a child's suicide was specifically associated with a change in priorities in the sample. Findings are discussed in terms of common and distinctive themes in meaning making that clinicians may encounter when working with parental bereavement, and the implications these carry for finding spiritual and secular significance in a traumatic loss.
A 22nm 2.5MB slice on-die L3 cache for the next generation Xeon® Processor

The 20-way set associative 2.5MB slice ported L3 cache for the multi-core Xeon® Processor uses 0.108 um2 cell in a 22nm tri-gate technology with 2.7TB maximum bandwidth. It is protected by double-error correction/triple-error detection ECC. The basic building block is designed to support floorplan style on each processor with large L3 cache. On die fuse storage enables high resolution repair coverage. Programmable transient voltage collapse writes assist (TVC-WA), wordline underdrive read assist (WLUD-RA) circuits (RWA) is used to achieve aggressive Vccmin goal. Per-die post silicon RWA fusing and per-die post silicon redundancy flow have significantly improved L3 cache Vccmin by more than 150mv.Shutoff per slice features has reduced SRAM leakage.