nils-herrmann/clean_scirepeval huggingface dataset:
ICP based pose graph SLAM
Venue: 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

Odometry like localization solutions can be built upon Light Detection And Ranging (LIDAR) sensors, by sequentially registering the point clouds acquired along a robot trajectory. Yet such solutions inherently drift over time: we propose an approach that adds a graphical model layer on top of such LIDAR odometry layer, using the Iterative Closest Points (ICP) algorithm for registration. Reference frames called keyframes are defined along the robot trajectory, and ICP results are used to build a pose graph, that in turn is used to solve an optimization problem that provides updates for the keyframes upon loop closing, enabling the correction of the path of the robot and of the map of the environment. We present in details the configuration used to register data from the Velodyne High Definition LIDAR (HDL) and a strategy to build local maps upon which current frames are registered, either when discovering new areas or revisiting previously mapped areas. Experiments show that it is possible to build the graph using data from ICP and that the loop closings in the graph level reduces the overall drift of the system.
Efficient large scale near duplicate video detection base on spark
Venue: 2016 IEEE International Conference on Big Data (Big Data)

With the huge amount of web video data and its exponential growth in recent years, there are new challenges in Near Duplicate Video Detection (NDVD) which have attracted much attention owing to its wide applications. One of the problems is how to extract discriminative features to achieve higher precision, and the other problem is how to improve the efficiency of large scale video analysis. Existing methods have predominantly focused on improving the precision and achieve some success on NDVD. However, it is an extremely challenging task to guarantee the higher precision and efficiency simultaneously. To balance the efficiency and precision, we propose a Multi Feature based Parallel System (MFPS) for large scale NDVD to overcome these challenges. For feature extraction, we combine local and global features to accurately represent the critical information of video. In our work, not only Scale Invariant Feature Transform (SIFT) but also Local Maximal Occurrence (LOMO) is introduced as local features and Color Name (CN) is adopted as global feature. Meanwhile, for SIFT and CN features, Bag of Visual Words (BoVW) method is used to quantize the features due to its accuracy and efficiency in NDVD. Furthermore, we design a similarity measure for video pairs which is inspired by hough transform and sliding window idea. Finally, we implement the system on parallel cloud computing platform based on spark. A comprehensive evaluation is conducted on CC_WEB_VIDEO dataset which includes 12790 videos and 27% near duplicates. Experimental results show that the proposed method is able to achieve some improvements in term of mAP against other methods. Moreover, our approach is efficient and achieves 5.8X speedup.
Co occurring posttraumatic stress and substance use: Emerging research on correlates, mechanisms, and treatments Introduction to the special issue.
Venue: Psychology of addictive behaviors journal of the Society of Psychologists in Addictive Behaviors

Posttraumatic stress disorder (PTSD) and substance use disorders (SUD) are complex psychiatric conditions that commonly co occur. Despite the well established prevalence of this diagnostic comorbidity, much less is known about underlying etiological and maintenance processes or most effective treatment avenues. The comorbidity is complex, difficult to treat, and marked by a more costly and chronic clinical course, when compared with either disorder alone. Therefore, this Special Issue is devoted to highlighting recent, theory driven, scientifically rigorous, and clinically applicable advances in our understanding of the PTSD SUD comorbidity across various populations. Emerging psychological science on PTSD SUD is profiled, and biological, psychological, and social processes implicated in etiology and maintenance are highlighted along with promising innovations in treatment. The articles range in methodology from more basic to applied, exemplifying a translational spectrum of research as each article presents meaningful clinical implications and future research directions. This introductory article describes the articles in this Special Issue and how they can inform the field.
Research on the application of Cloud Computing in Power User Electric Energy Data Acquisition System.

As the State Grid Corporation of China is improving the Power User Electric Energy Data Acquisition System so that it can collect all necessary electric energy information from all power consumers, the number of acquisition devices is increasing sharply with large amounts of data flooding into the system. Current Power User Electric Energy Data Acquisition Systems have met many bottlenecks. To find effective solutions for these problems, this paper first examines the architecture and demand of Power User Electric Energy Data Acquisition Systems. And, then, by further analyzing advanced technologies in Cloud Computing, which is a highly effective approach for processing Big Data, research about the utilization of Cloud Computing technology for improving Power User Electric Energy Data Acquisition Systems, and related challenges, are carried out. The work of this paper can provide guidance for construction of future Power User Electric Energy Data Acquisition Systems.
Wireless mesh network: A survey
Venue: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

For next generation wireless networks, wireless mesh networks have become the basic technology. WMNs consist of mesh router and mesh client. WMNs provide broadband internet access, wireless local area network coverage and network connectivity for both mobile and stationary nodes. Routing are used in mesh networks in order deliver packets from source to destination efficiently. Mainly 3 types of routing protocols are used in WMNs. Proactive, reactive and hybrid protocol. In which hybrid protocol are the best protocols when compared to others. This paper presents a survey of wireless mesh networks.
Mindfulness Based Cancer Recovery (MBCR) versus Supportive Expressive Group Therapy (SET) for distressed breast cancer survivors: evaluating mindfulness and social support as mediators
Venue: Journal of Behavioral Medicine

Despite growing evidence in support of mindfulness as an underlying mechanism of mindfulness based interventions (MBIs) it has been suggested that nonspecific therapeutic factors, such as the experience of social support, may contribute to the positive effects of MBIs. In the present study, we examined whether change in mindfulness and/or social support mediated the effect of Mindfulness Based Cancer Recovery (MBCR) compared to another active intervention (i.e. Supportive Expressive Group Therapy (SET) on change in mood disturbance, stress symptoms and quality of life. A secondary analysis was conducted of a multi site randomized clinical trial investigating the impacts of MBCR and SET on distressed breast cancer survivors (MINDSET) We applied the causal steps approach with bootstrapping to test mediation, using pre and post intervention questionnaire data of the participants who were randomised to MBCR (n 69) or SET (n 70) MBCR participants improved significantly more on mood disturbance, stress symptoms and social support, but not on quality of life or mindfulness, compared to SET participants. Increased social support partially mediated the impact of MBCR versus SET on mood disturbance and stress symptoms. Because no group differences on mindfulness and quality of life were observed, no mediation analyses were performed on these variables. Findings showed that increased social support was related to more improvement in mood and stress after MBCR compared to support groups, whereas changes in mindfulness were not. This suggests a more important role for social support in enhancing outcomes in MBCR than previously thought.
Mechanistic explanation, cognitive systems demarcation, and extended cognition.
Venue: Studies in history and philosophy of science

Approaches to the Internalism Externalism controversy in the philosophy of mind often involve both (broadly) metaphysical and explanatory considerations. Whereas originally most emphasis seems to have been placed on metaphysical concerns, recently the explanation angle is getting more attention. Explanatory considerations promise to offer more neutral grounds for cognitive systems demarcation than (broadly) metaphysical ones. However, it has been argued that explanation based approaches are incapable of determining the plausibility of internalist based conceptions of cognition vis a vis externalist ones. On this perspective, improved metaphysics is the route along which to solve the Internalist Externalist stalemate. In this paper we challenge this claim. Although we agree that explanation orientated approaches have indeed so far failed to deliver solid means for cognitive system demarcation, we elaborate a more promising explanation oriented framework to address this issue. We argue that the mutual manipulability account of constitutive relevance in mechanisms, extended with the criterion of 'fat handedness' is capable of plausibly addressing the cognitive systems demarcation problem, and thus able to decide on the explanatory traction of Internalist vs. Externalist conceptions, on a case by case basis. Our analysis also highlights why some other recent mechanistic takes on the problem of cognitive systems demarcation have been unsuccessful. We illustrate our claims with a case on gestures and learning.
Enhancing Purchase Intentions Towards Sustainability: The Influence of Environmental Attitude, Perceived Consumer Effectiveness, Health Consciousness and Social Influence

This study directed towards green consumerism in the Sri Lankan context. The Topic is new and considered as the emerging one in the marketing paradigm. Meanwhile, this study focuses on examining the purchase intention under the concept of green consumerism among young consumers in the Sri Lankan stand point. Four antecedents as environmental attitude, perceived consumer effectiveness, health consciousness and social influence are incorporated in to the proposed model. Rigorous statistical technique like Structural Equation Modelling is utilized to test the main research hypotheses. This study finds that environment attitude, perceived consumer effectiveness, and health consciousness significantly influence the green purchase intention. In contrast, this study observes that social influence does not significantly influence the green purchase intention. In addition, Young consumers in Sri Lankan perspective have a favourable mind set towards green purchase. Therefore, green marketers have potential opportunity to capture the market from young consumers in Sri Lanka. In practice, marketers of the green products may focus on marketing communication by using the themes like "environmental safety, environmental protection, recycling reusing and healthy life" to induce the young consumers towards green products. To this end, Governmental bodies and policy makers should draft the specific policy to induce the green consumerism in Sri Lankan Stand point. This may be the green signal to the sustainable development which is prosperous.
Consumer's intention of purchase sustainable products: the moderating role of attitude and trust

Awareness about environment has found its place in consumer's mind set. During the past decades, consumers considered issues such as environmental issues and social issues (e.g. label's right or child's right) while purchasing products. Hence, this group of consumers are looking forward the alternative products such as sustainable products which could be presuming environmental issues and social issues. Sustainability is a vital element which is a challenge for product developers nowadays. On the other hand, companies put efforts to meet the demand of this group of consumers where the competition is high. While, there are available sustainable products in the markets, consumer's intention of purchase these products is imprecise. Besides, the attributes of these products are not categorised yet by scholars. Therefore to understand consumer's intention, the present study aims (i) to categorise the sustainable products; (ii) to extract the influential factors on consumer's intention to purchase sustainable products; and (iii) to develop a conceptual model of consumer's intention to purchase sustainable products. By reviewing literature, the factors of belief, knowledge, attitude, company's sustainable responsibility (i.e. economic, environment and social) trust and perceive quality are founded to be as the influential factors on consumer's intention to purchase these products. Besides, the mediating roles of attitude and trust on consumer's intention to purchase sustainable products are considered in this paper. Eventually, the conceptual framework of consumer's intention to purchase sustainable products is proposed.
Caracterisation et role de l'empan visuo attentionnel chez les lecteurs arabophones adultes et enfants (experts et dyslexiques developpementales)

ResumeL'objectif general de cette these etait d'etudier les capacites d'empan visuo attentionnel (VA) des lecteurs arabophones. Les recherches ont montre que l'empan VA module le traitement visuel des sequences de lettres et joue a ce titre un role important en lecture experte, tel que modelise dans le cadre du modele multitraces de lecture experte (Ans, Carbonnel et Valdois, 1998) Il a egalement ete montre que l'empan VA joue un role dans l'acquisition de la lecture et qu'une reduction de l'empan VA explique certaines formes de dyslexies developpementales. Neanmoins, les etudes menees jusqu'ici se sont limitees aux langues europeennes. Il s'agissait donc d'evaluer la pertinence du concept d'empan VA dans une langue de structure tres differente, comme l'arabe. Deux questions principales ont ete abordees la premiere (Etude 1) portait sur une eventuelle modulation des capacites d'empan VA selon la langue elle a ete menee chez des lecteurs experts. La seconde (Etude 2) visait a evaluer l'implication de l'empan VA dans les troubles de l'apprentissage de la lecture. Dans l'etude 1, nous avons compare les performances d'empan VA chez des adultes de langue francaise, espagnole et arabe. Nous montrons notamment que les capacites d'empan VA sont plus limitees chez les arabophones que chez les francais ou les hispanophones. La taille de l'empan VA n'est pas modulee par la transparence de la langue mais pourrait varier selon les contraintes de traitement des mots (traitement parallele pour le francais et l'espagnol mais traitement privilegie de la racine morphologique pour l'arabe) L'etude 2 a porte sur des enfants arabophones de 4eme et 5eme annee, bons et mauvais lecteurs, qui ont ete soumis a des epreuves de lecture, de conscience phonologique et d'empan VA. Nous montrons que les capacites d'empan VA contribuent a expliquer les performances en lecture de mots et de texte, voyelle et non voyelle, independamment des capacites phonologiques des enfants. Comme dans les langues europeennes, un sous groupe d'enfants mauvais lecteurs presente un trouble isole de l'empan VA. Par contre, la proportion d'enfants presentant un trouble de l'empan VA, isole ou pas, est beaucoup plus importante que dans les etudes precedentes portant sur les langues europeennes. Ces resultats devraient conduire a proposer de nouveaux outils de diagnostic et de remediation des troubles d'apprentissage de la lecture chez les lecteurs arabophones. Ils ont egalement des implications potentielles sur les methodes d'enseignement de la lecture en langue arabe.
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Venue: ECCV

Computer vision has a great potential to help our daily lives by searching for lost keys, watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision methods need to be trained from real and diverse examples of our daily dynamic scenes. While most of such scenes are not particularly exciting, they typically do not appear on YouTube, in movies or TV broadcasts. So how do we collect sufficiently many diverse but boring samples representing our lives? We propose a novel Hollywood in Homes approach to collect such data. Instead of shooting videos in the lab, we ensure diversity by distributing and crowdsourcing the whole process of video creation from script writing to video recording and annotation. Following this procedure we collect a new dataset, Charades, with hundreds of people recording videos in their own homes, acting out casual everyday activities. The dataset is composed of 9,848 annotated videos with an average length of 30 s, showing activities of 267 people from three continents. Each video is annotated by multiple free text descriptions, action labels, action intervals and classes of interacted objects. In total, Charades provides 27,847 video descriptions, 66,500 temporally localized intervals for 157 action classes and 41,104 labels for 46 object classes. Using this rich data, we evaluate and provide baseline results for several tasks including action recognition and automatic description generation. We believe that the realism, diversity, and casual nature of this dataset will present unique challenges and new opportunities for computer vision community.
The PARP family: insights into functional aspects of poly (ADP ribose) polymerase 1 in cell growth and survival
Venue: Cell proliferation

PARP family members can be found spread across all domains and continue to be essential molecules from lower to higher eukaryotes. Poly (ADP ribose) polymerase 1 (PARP 1) newly termed ADP ribosyltransferase D type 1 (ARTD1) is a ubiquitously expressed ADP ribosyltransferase (ART) enzyme involved in key cellular processes such as DNA repair and cell death. This review assesses current developments in PARP 1 biology and activation signals for PARP 1, other than conventional DNA damage activation. Moreover, many essential functions of PARP 1 still remain elusive. PARP 1 is found to be involved in a myriad of cellular events via conservation of genomic integrity, chromatin dynamics and transcriptional regulation. This article briefly focuses on its other equally important overlooked functions during growth, metabolic regulation, spermatogenesis, embryogenesis, epigenetics and differentiation. Understanding the role of PARP 1, its multidimensional regulatory mechanisms in the cell and its dysregulation resulting in diseased states, will help in harnessing its true therapeutic potential.
Cannabis and adolescents: Exploring the substance misuse treatment provider experience in a climate of legalization.
Venue: The International journal on drug policy

Understanding consumer attitudes toward drugs is vital for the design and implementation of effective substance misuse prevention and treatment programs. Research that enhances our understanding of these perceptions is of the utmost importance in the climate of cannabis legalization. While there is a body of literature focused on the perceptions of drug use among adolescents, less attention has been paid to the experiences of health care professionals who serve this vulnerable population. Research aimed at better understanding the experiences of professionals may improve cannabis misuse prevention efforts and inform policy decisions as cannabis moves closer to legalization nationwide.  The present study applied a grounded theory qualitative methodology to interview 11 adolescent substance misuse treatment providers. Each participant had at least two years of clinical practice in Colorado before January 1, 2014, when cannabis became available for recreational sale.  Extensive analysis of data obtained from participant interviews, yielded seven core concepts related to cannabis use and decriminalization: normalizing, increasing access, rising addiction potential, link to opioids and other drugs, complicating substance treatment, diversity issues, and responding to change. According to participants, legalization has contributed to the continuing normalization of cannabis, validation of its consumption, and greater access to a host of new and more potent THC products by adolescents. Providers attributed these attitudinal changes to heavier use of both cannabis and other drugs and increased resistance to treatment efforts and interventions.  These results support the need to expand access to a wider range of substance misuse treatment options for adolescents and to further our understanding of the impact on this population of the cannabis laws.
A game plan: Gamification design principles in mHealth applications for chronic disease management
Venue: Health Informatics J.

Effective chronic disease management is essential to improve positive health outcomes, and incentive strategies are useful in promoting self care with longevity. Gamification, applied with mHealth (mobile health) applications, has the potential to better facilitate patient self management. This review article addresses a knowledge gap around the effective use of gamification design principles, or mechanics, in developing mHealth applications. Badges, leaderboards, points and levels, challenges and quests, social engagement loops, and onboarding are mechanics that comprise gamification. These mechanics are defined and explained from a design and development perspective. Health and fitness applications with gamification mechanics include: bant which uses points, levels, and social engagement, mySugr which uses challenges and quests, RunKeeper which uses leaderboards as well as social engagement loops and onboarding, Fitocracy which uses badges, and Mango Health, which uses points and levels. Specific design considerations are explored, an example of the efficacy of a gamified mHealth implementation in facilitating improved self management is provided, limitations to this work are discussed, a link between the principles of gaming and gamification in health and wellness technologies is provided, and suggestions for future work are made. We conclude that gamification could be leveraged in developing applications with the potential to better facilitate self management in persons with chronic conditions.
Automated Circular Assume Guarantee Reasoning with N way Decomposition and Alphabet Refinement
Venue: CAV

In this work we develop an automated circular reasoning framework that is applicable to systems decomposed into multiple components. Our framework uses a family of circular assume guarantee rules for which we give conditions for soundness and completeness. The assumptions used in the rules are initially approximate and their alphabets are automatically refined based on the counterexamples obtained from model checking the rule premises. A key feature of the framework is that the compositional rules that are used change dynamically with each iteration of the alphabet refinement, to only use assumptions that are relevant for the current alphabet, resulting in a smaller number of assumptions and smaller state spaces to analyze for each premise. Our preliminary evaluation of the proposed approach shows promising results compared to 2 way and monolithic verification.