nils-herrmann/clean_scirepeval huggingface dataset:
Extending kalibr: Calibrating the extrinsics of multiple IMUs and of individual axes
Venue: 2016 IEEE International Conference on Robotics and Automation (ICRA)

An increasing number of robotic systems feature multiple inertial measurement units (IMUs) Due to competing objectives either desired vicinity to the center of gravity when used in controls, or an unobstructed field of view when integrated in a sensor setup with an exteroceptive sensor for ego motion estimation individual IMUs are often mounted at considerable distance. As a result, they sense different accelerations when the platform is subjected to rotational motions. In this work, we derive a method for spatially calibrating multiple IMUs in a single estimator based on the open source camera/IMU calibration toolbox kalibr. We further extend the toolbox to determine IMU intrinsics, enabling accurate calibration of low cost IMUs. The results suggest that the extended estimator is capable of precisely determining these intrinsics and even of localizing individual accelerometer axes inside a commercial grade IMU to millimeter precision.
When Is a New Scale not a New Scale? The Case of the Bergen Shopping Addiction Scale and the Compulsive Online Shopping Scale
Venue: International Journal of Mental Health and Addiction

Manchiraju et al. ( 2016) published the Compulsive Online Shopping Scale (COSS) in the International Journal of Mental Health and Addiction (IJMHA) To develop their measure of compulsive online shopping, Manchiraju and colleagues adapted items from the seven item Bergen Shopping Addiction Scale (BSAS) and its' original 28 item item pool. Manchiraju et al. did not add or remove any of the original seven items, and did not substantially change the content of any of the 28 items on which the BSAS was based. They simply added the word "online" to each existing item. Given that the BSAS was specifically developed to take into account the different ways in which people now shop and to include both online and offline shopping, there does not seem to be a good rationale for developing an online version of the BSAS. It is argued that the COSS is not really an adaptation of the BSAS but an almost identical instrument based on the original 28 item pool.
Efficient district heating and cooling markets in the EU: Case studies analysis, replicable key success factors and potential policy implications

Based on a holistic case studies analysis of 8 efficient district heating and cooling systems in different European Member States (Denmark, Estonia, France, Germany, Italy, Spain and Sweden) the study identifies the key factors enabling to develop high quality, efficient and low carbon DHC systems, discusses how these key success factors can be replicated in the EU and provides a better view on the role and features of these systems, which can provide an evolutive backbone to balanced energy transitions. Finally, it suggests some potential policy guidelines to support their deployment. Efficient district heating and cooling systems in the EU December 2016 3
IoT based solid waste management system: A conceptual approach with an architectural solution as a smart city application
Venue: 2016 IEEE Annual India Conference (INDICON)

The Internet of Things (IoT) is constantly evolving and is giving unique solutions to the everyday problems faced by man. "Smart City" is one such implementation aimed at improving the lifestyle of human beings. One of the major hurdles in most cities is its solid waste management, and effective management of the solid waste produced becomes an integral part of a smart city. This paper aims at providing an IoT based architectural solution to tackle the problems faced by the present solid waste management system. By providing a complete IoT based system, the process of tracking, collecting, and managing the solid waste can be easily automated and monitored efficiently. By taking the example of the solid waste management crisis of Bengaluru city, India, we have come up with the overall system architecture and protocol stack to give a IoT based solution to improve the reliability and efficiency of the system. By making use of sensors, we collect data from the garbage bins and send them to a gateway using LoRa technology. The data from various garbage bins are collected by the gateway and sent to the cloud over the Internet using the MQTT (Message Queue Telemetry Transport) protocol. The main advantage of the proposed system is the use of LoRa technology for data communication which enables long distance data transmission along with low power consumption as compared to Wi Fi, Bluetooth or Zigbee.
International field testing of the psychometric properties of an EORTC quality of life module for oral health: the EORTC QLQ OH15
Venue: Supportive Care in Cancer

PurposeThis international EORTC validation study (phase IV) is aimed at testing the psychometric properties of a quality of life (QoL) module related to oral health problems in cancer patients.MethodsThe phase III module comprised 17 items with four hypothesized multi item scales and three single items. In phase IV, patients with mixed cancers, in different treatment phases from 10 countries completed the EORTC QLQ C30, the QLQ OH module, and a debriefing interview. The hypothesized structure was tested using combinations of classical test theory and item response theory, following EORTC guidelines. Test retest assessments and responsiveness to change analysis (RCA) were performed after 2 weeks.ResultsFive hundred seventy two patients (median age 60.3, 54 females) were analyzed. Completion took <10 min for 84 40 expressed satisfaction that these issues were addressed. Analyses suggested a revision of the phase III hypothesized scale structure. Two items were deleted based on a high degree of item misfit, together with negative patient feedback. The remaining 15 items formed one eight item scale named OH QoL score, a two item information scale, a two item scale regarding dentures, and three single items (sticky saliva/mouth soreness/sensitivity to food/drink) Face and convergent validity and internal consistency were confirmed. Test retest reliability (n 60) was demonstrated as was RCA for patients undergoing chemotherapy (n 117; p 0.06) The resulting QLQ OH15 discriminated between clinically distinct patient groups, e.g. low performance status vs. higher (p 000.1) and head and neck cancer versus other cancers (p 0.03).ConclusionThe EORTC module QLQ OH15 is a short, well accepted assessment tool focusing on oral problems and QoL to improve clinical management.
UN ANALISIS DE LA SEGURIDAD Y SALUD EN EL TRABAJO EN EL SISTEMA EMPRESARIAL CUBANO

A partir de la existencia en Cuba de insuficiencias en los sistemas de gestion de la seguridad y salud en el trabajo (SGSST) en las empresas que pueden ser por la ocurrencia de incidentes y accidentes del trabajo con repercusiones en la responsabilidad social de las mismas. En este sentido la presente investigacion tiene como objeto, el estudio de los SGSST, cuestion de gran importancia para el sector empresarial, pues en los momentos actuales dentro del ambito empresarial a nivel internacional constituye un parametro para determinar si una empresa es socialmente responsable, por lo que nuestro pais no esta ajeno de estas exigencias en el contexto empresarial.
Robust bidirectional links for photonic quantum networks
Venue: Science Advances

Researchers experimentally realize a promising method for creating robust bidirectional quantum communication links. Optical fibers are widely used as one of the main tools for transmitting not only classical but also quantum information. We propose and report an experimental realization of a promising method for creating robust bidirectional quantum communication links through paired optical polarization maintaining fibers. Many limitations of existing protocols can be avoided with the proposed method. In particular, the path and polarization degrees of freedom are combined to deterministically create a photonic decoherence free subspace without the need for any ancillary photon. This method is input state independent, robust against dephasing noise, postselection free, and applicable bidirectionally. To rigorously quantify the amount of quantum information transferred, the optical fibers are analyzed with the tools developed in quantum communication theory. These results not only suggest a practical means for protecting quantum information sent through optical quantum networks but also potentially provide a new physical platform for enriching the structure of the quantum communication theory.
Genetic variant rs4072037 of MUC1 and gastric cancer risk in an Eastern Chinese population
Venue: Oncotarget

Published data on the association between the MUC1 rs4072037A G polymorphism and gastric cancer (GCa) risk were inconclusive. To derive a more precise estimation of the association, we conducted a large GCa study of 1,124 cases and 1,192 controls to confirm this association in an Eastern Chinese population. Our results showed that the G allele was strongly associated with a decreased GCa risk in the study population [GG vs. AA, odds ratio (OR) 0.47, 95% confidence interval (CI) 0.31 0.73; AG/GG vs. AA, OR 0.82, 95% CI 0.68 0.99; GG vs. AA/AG, OR 0.48, 95% CI 0.32 0.74] These associations remained significant in subgroups of age, tumor site, drinking and smoking status. Moreover, this association was supported by an additional meta analysis of published studies. In summary, these results suggest that the MUC1 rs4072037G allele may be a low penetrating protection factor for GCa risk in Chinese populations.
Numerical modeling of solitary waves by 1 D Madsen and Sorensen extended Boussinesq equations

This paper presents numerical solution of one dimensional enhanced Boussinesq equations introduced by Madsen and Sorensen for modeling the solitary wave propagation in three different physical situations. Governing equations are spatially discretized using weighted residual Galerkin approach. To implement the linear finite element method, an auxiliary equation is introduced in order to simplify the discretization task of the third order spatial derivatives present in momentum equation. Exact solitary wave solutions are used to specify the initial data for the incident solitary waves in the numerical model and for verification of the corresponding computed solutions. The proposed model has been used to simulate important wave phenomena including solitary wave propagation, shoaling, absorption and reflection. Validity of the developed code has been assessed by comparing the results against published analytical solutions and experimental measurements. In order to compare the current results against the numerical solution of the extended Boussinesq equation without the auxiliary form, propagation of solitary wave over a shelf is investigated. In all of the considered cases in the current study, the proposed model is shown capable of producing favorable agreements.
Observation of Quantum Fingerprinting Beating the Classical Limit.
Venue: Physical review letters

Quantum communication has historically been at the forefront of advancements, from fundamental tests of quantum physics to utilizing the quantum mechanical properties of physical systems for practical applications. In the field of communication complexity, quantum communication allows the advantage of an exponential reduction in the transmitted information over classical communication to accomplish distributed computational tasks. However, to date, demonstrating this advantage in a practical setting continues to be a central challenge. Here, we report a proof of principle experimental demonstration of a quantum fingerprinting protocol that for the first time surpasses the ultimate classical limit to transmitted information. Ultralow noise superconducting single photon detectors and a stable fiber based Sagnac interferometer are used to implement a quantum fingerprinting system that is capable of transmitting less information than the classical proven lower bound over 20 km standard telecom fiber for input sizes of up to 2 Gbits. The results pave the way for experimentally exploring the advanced features of quantum communication and open a new window of opportunity for research in communication complexity and testing the foundations of physics.
Network Composition from Multi layer Data
Venue: ArXiv

It is common for people to access multiple social networks, for example, using phone, email, and social media. Together, the multi layer social interactions form a "integrated social network." How can we extend well developed knowledge about single layer networks, including vertex centrality and community structure, to such heterogeneous structures? In this paper, we approach these challenges by proposing a principled framework of network composition based on a unified dynamical process. Mathematically, we consider the following abstract problem: Given multi layer network data and additional parameters for intra and inter layer dynamics, construct a (single) weighted network that best integrates the joint process. We use transformations of dynamics to unify heterogeneous layers under a common dynamics. For inter layer compositions, we will consider several cases as the inter layer dynamics plays different roles in various social or technological networks. Empirically, we provide examples to highlight the usefulness of this framework for network analysis and network design.
Minimum spanning tree based multicast routing protocol for dynamic spectrum access networks: A multi layer probabilistic approach
Venue: 2016 7th International Conference on Computer Science and Information Technology (CSIT)

In this paper, we propose a multi layer multicast routing protocol for multi hop mobile ad hoc cognitive radio (CR) networks. The proposed protocol employs a probabilistic approach in performing the channel assignment and path selection process based on the concept of minimum spanning tree (MST) Our protocol accounts for the unique features of CR operating environment. Simulations experiments are conducted to investigate the effectiveness of the our protocol under various network conditions in terms of network throughput and packet delivery rate. Compared with reference CR multicast protocols, simulations results show that our multi layer multicast protocol signif cantly improves network performance.
Architecture and Connectivity Govern Actin Network Contractility
Venue: Current Biology

Actomyosin contractility plays a central role in a wide range of cellular processes, including the establishment of cell polarity, cell migration, tissue integrity, and morphogenesis during development. The contractile response is variable and depends on actomyosin network architecture and biochemical composition. To determine how this coupling regulates actomyosin driven contraction, we used a micropatterning method that enables the spatial control of actin assembly. We generated a variety of actin templates and measured how defined actin structures respond to myosin induced forces. We found that the same actin filament crosslinkers either enhance or inhibit the contractility of a network, depending on the organization of actin within the network. Numerical simulations unified the roles of actin filament branching and crosslinking during actomyosin contraction. Specifically, we introduce the concept of "network connectivity" and show that the contractions of distinct actin architectures are described by the same master curve when considering their degree of connectivity. This makes it possible to predict the dynamic response of defined actin structures to transient changes in connectivity. We propose that, depending on the connectivity and the architecture, network contraction is dominated by either sarcomeric like or buckling mechanisms. More generally, this study reveals how actin network contractility depends on its architecture under a defined set of biochemical conditions.
A User Simulator for Task Completion Dialogues
Venue: ArXiv

Despite widespread interests in reinforcement learning for task oriented dialogue systems, several obstacles can frustrate research and development progress. First, reinforcement learners typically require interaction with the environment, so conventional dialogue corpora cannot be used directly. Second, each task presents specific challenges, requiring separate corpus of task specific annotated data. Third, collecting and annotating human machine or human human conversations for task oriented dialogues requires extensive domain knowledge. Because building an appropriate dataset can be both financially costly and time consuming, one popular approach is to build a user simulator based upon a corpus of example dialogues. Then, one can train reinforcement learning agents in an online fashion as they interact with the simulator. Dialogue agents trained on these simulators can serve as an effective starting point. Once agents master the simulator, they may be deployed in a real environment to interact with humans, and continue to be trained online. To ease empirical algorithmic comparisons in dialogues, this paper introduces a new, publicly available simulation framework, where our simulator, designed for the movie booking domain, leverages both rules and collected data. The simulator supports two tasks: movie ticket booking and movie seeking. Finally, we demonstrate several agents and detail the procedure to add and test your own agent in the proposed framework.
Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF) 2. Pose computation using POSIT algorithm. The second approach is based on the on board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data) provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.
Inexpensive Multimodal Sensor Fusion System for Autonomous Data Acquisition of Road Surface Conditions
Venue: IEEE Sensors Journal

This paper presents the development, evaluation, calibration, and field application of a novel, relatively inexpensive, vision based sensor system employing commercially available off the shelf devices, for enabling the autonomous data acquisition of road surface conditions. Detailed evaluations and enhancements of a variety of technical approaches and algorithms for overcoming vision based measurement distortions induced by the motion of the monitoring platform were conducted. It is shown that the proposed multi sensor system, by capitalizing on powerful data fusion approaches of the type developed in this paper, can provide a robust cost effective road surface monitoring system with sufficient accuracy to satisfy typical maintenance needs, in regard to the detection, localization, and quantification of potholes and similar qualitative deterioration features where the measurements are acquired via a vehicle moving at normal speeds on typical city streets. The proposed system is ideal to be used for crowdsourcing where several vehicles would be equipped with this cost effective system for more frequent data collection of road surfaces. Suggestions for future research needs to enhance the capabilities of the proposed system are included.
Carbon Nanotubes: Ultrabreathable and Protective Membranes with Sub 5 nm Carbon Nanotube Pores (Adv. Mater. 28/2016)
Venue: Advanced materials

A flexible membrane with sub 5 nm single walled carbon nanotube (SWNT) pores is developed by F. Fornasiero and co workers, as described on page 5871, for application as a key component of protective, yet breathable fabrics. The SWNTs are shown to enable exceptionally fast transport of water vapor under a concentration driving force. Thus, membranes having SWNTs as moisture conductive pores feature outstanding breathability and provide a high degree of protection from biological threats by size exclusion.
Artificial Synapses: Organometal Halide Perovskite Artificial Synapses (Adv. Mater. 28/2016)
Venue: Advanced materials

A synapse emulating electronic device based on organometal halide perovskite thin films is described by T. W. Lee and co workers on page 5916. The device successfully emulates important characteristics of a biological synapse. This work extends the application of organometal halide perovskites to bioinspired electronic devices, and contributes to the development of neuromorphic electronics.
Explosives: Metal Organic Framework Templated Synthesis of Copper Azide as the Primary Explosive with Low Electrostatic Sensitivity and Excellent Initiation Ability (Adv. Mater. 28/2016)
Venue: Advanced materials

On page 5837, L. Yang, B. Wang, and co workers describe a metal organic framework (MOF) templating method to synthesize copper azide uniformly anchored in a 3D interconnected carbon matrix and evenly spaced by the electron conductive joints. This strategy sheds light on the preparation of powerful yet safe primary explosives and fulfills the need for controllable explosive systems.
Flexible Electronics: High Pressure Chemical Vapor Deposition of Hydrogenated Amorphous Silicon Films and Solar Cells (Adv. Mater. 28/2016)
Venue: Advanced materials

On page 5939, J. V. Badding and co workers describe the unrolling of a flexible hydrogenated amorphous silicon solar cell, deposited by high pressure chemical vapor deposition. The high pressure deposition process is represented by the molecules of silane infiltrating the small voids between the rolled up substrate, facilitating plasma free deposition over a very large area. The high pressure approach is expected to also find application for 3D nanoarchitectures.