Miracle-dz/UniFAR-FTUs huggingface dataset:
Using sensors in the office to support knowledge workers with self-management of well-being

The project SWELL 1 aims to support knowledge workers to self-manage their well-being. We extend traditional approaches (like questionnaires and department wide interventions) by developing an interactive system that can provide situated support. In our approach (see Figure 1), behaviour data is captured with sensors and then interpreted into a format that is intelligible, e.g. the users current working context and mental state (Koldijk et al., 2012). This captured information can then be used to provide tailored interventions which are proven to be more effective than nontailored (Hawkins et al., 2008).
Circadian Cycle-Dependent MeCP2 and Brain Chromatin Changes

Methyl CpG binding protein 2 (MeCP2) is a chromosomal protein of the brain, very abundant especially in neurons, where it plays an important role in the regulation of gene expression. Hence it has the potential to be affected by the mammalian circadian cycle. We performed expression analyses of mice brain frontal cortices obtained at different time points and we found that the levels of MeCP2 are altered circadianly, affecting overall organization of brain chromatin and resulting in a circadian-dependent regulation of well-stablished MeCP2 target genes. Furthermore, this data suggests that alterations of MeCP2 can be responsible for the sleeping disorders arising from pathological stages, such as in autism and Rett syndrome.
Large Deviations Performance of Interval Algorithm for Random Number Generation

We investigate large deviations performance of interval algorithm for random number generation. First, we show that the length of input sequence per the length of output sequence approaches to the ratio of entropies of input and output distributions almost surely. Next, we investigate large deviations performance especially for intrinsic randomness. We show that the length of output fair random bits per input sample approaches to the entropy of the input source almost surely, and we can determine the exponent in this case. Further, we consider to obtain the fixed number of fair random bits from the input sequence with fixed length. We show that the approximation error measured by the variational distance and divergence vanishes exponentially as the length of input sequence tends to infinity, if the number of output random bits per input sample is below the entropy of the source. Contrarily, the approximation error measured by the variational distance approaches to two exponentially and the approximation error measured by the divergence approaches to infinity linearly, if the number of random bits per input sample is above the entropy of the source. ∗Dept. of Electrical and Electronic Eng., Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan
Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest

The performance of a state lattice motion planning algorithm depends critically on the resolution of the lattice to ensure a balance between solution quality and computation time. There is currently no theoretical basis for selecting the resolution because of its dependence on the robot dynamics and the distribution of obstacles. In this paper, we examine the problem of motion planning on a resolution constrained lattice for a robot with non-linear dynamics operating in an environment with randomly generated disc shaped obstacles sampled from a homogeneous Poisson process. We present a unified framework for computing explicit solutions to two problems i) the critical planning resolution which guarantees the existence of an infinite collision free trajectory in the search graph ii) the critical speed limit which guarantees infinite collision free motion. In contrast to techniques used by Karaman and Frazzoli [11], we use a novel approach that maps the problem to parameters of directed asymmetric hexagonal lattice bond percolation. Since standard percolation theory offers no results for this lattice, we map the lattice to an infinite absorbing Markov chain and use results pertaining to its survival to obtain bounds on the parameters. As a result, we are able to derive theoretical expressions that relate the non-linear dynamics of a robot, the resolution of the search graph and the density of the Poisson process. We validate the theoretical bounds using Monte-Carlo simulations for single integrator and curvature constrained systems and are able to validate the previous results presented by Karaman and Frazzoli [11] independently using the novel connections introduced in this paper.
Review of Multipath Routing Protocols in Wireless Multimedia Sensor Network -A Survey

Various applications like automated information gathering in military, industrial, environmental and surveillance applications requires improved QoS guarantee as well as high reliability in Wireless Multimedia Sensor Networks (WMSNs). In this paper, we have exhaustly reviewed various multi-path routing schemes and classified them accordingly to be suitable for multimedia-traffic. Benefits of using Multipath routing protocols are represented. In general detailed study has been made on multipath routing scheme with Qos requirement for transmission of multimedia data in Wireless multimedia sensor networks.
Shear patterning of microdominos: a new class of procedures for making micro- and nanostructures.

Communications Tipping large arrays of micrometer-scale dominos onto their side generates complex 3D topographies and arrays of nanoscale electrodes. These microdominos collapse in parallel when a shearing force is applied uniformly to an array of free-standing pillars. For more information, see the Communication by G. M. Whitesides and co-workers on the following pages.
Reportage of Agricultural News in Nigerian Newspapers

This content analysis of 17 Nigerian daily newspapers from 1980 through 1985 reveals the publication of about one story in 20 devoted to agriculture. Of these, the largest category dealt with general agricultural news and the smallest with pricing and marketing news. Unlike many other content analysis studies, this project finds a relatively low correlation between the length and number of agricultural stories, measured separately.
Integrating developer-related information across open source repositories

Software developers use various software repositories in order to interact with each other or to solve software related problems. They are required to adopt an identity for each of the software repositories they wanted to use. Quite often developers are also found on different code forges developing open source projects. It is worth mentioning that the information relevant to the developers are distributed on the Web among different data sources each requires an ID and an authentication mechanism. In this paper, we propose to interlink the identities of a developer across different data sources on the Web. Further, we show the benefit of integrating developer-related information from different data sources using some real-world scenarios.
Distributed Maritime Situation Picture Production and Data Fusion

By automating and supporting the picture production process and improving the quality of situation pictures, data fusion has become an important aid in military surveillance. Recognised Maritime Picture (RMP) production is inherently a distributed process, and effective information exchange protocols are a supplementary aid to data fusion. This paper focuses on situation pictures supporting maritime operations. The purpose of RMPs is described and the maritime environment is characterised. Next the desired properties of a system for distributed RMP production, its architecture and how it could evolve, leveraging the rapid development in infrastructure technology, are discussed. Further, we discuss some requirements the construction of a RMP production system, supporting a hierarchical and geographically dispersed organisation, impose on data fusion.
Multi-forest Tracker: A Chameleon in Tracking

In this paper, we address the problem of object tracking in intensity images and depth data. We propose a generic framework that can be used either for tracking 2D templates in intensity images or for tracking 3D objects in depth images. To overcome problems like partial occlusions, strong illumination changes and motion blur, that notoriously make energy minimization-based tracking methods get trapped in a local minimum, we propose a learning-based method that is robust to all these problems. We use random forests to learn the relation between the parameters that defines the object's motion, and the changes they induce on the image intensities or the point cloud of the template. It follows that, to track the template when it moves, we use the changes on the image intensities or point cloud to predict the parameters of this motion. Our algorithm has an extremely fast tracking performance running at less than 2 ms per frame, and is robust to partial occlusions. Moreover, it demonstrates robustness to strong illumination changes when tracking templates using intensity images, and robustness in tracking 3D objects from arbitrary viewpoints even in the presence of motion blur that causes missing or erroneous data in depth images. Extensive experimental evaluation and comparison to the related approaches strongly demonstrates the benefits of our method.
Academic and Affective Profiles of Low-Income, Minority, and Twice-Exceptional Gifted Learners: The Role of Gifted Program Membership in Enhancing Self

This study examined the academic and affective profiles of gifted students who were classified under the five prototypes of low-income White students, low-income African American students, low-income other minority students, high nonverbal and low verbal students, and twice-exceptional students. A total of 37 vignettes were developed and analyzed based on interviews with selected students, their teachers, and parents. Within and cross-prototype themes were derived. Both cognitive and affective impacts were found, suggesting the power of gifted program membership on enhancing self-confidence and building higher level skills of communication and thinking. All groups interviewed appeared to think that the gifted program had been good for the students in the study, providing challenge at the cognitive level and self-confidence at the affective level. Differences that emerged through the analysis of stakeholder perspectives suggested that students were the least aware of learning problems, but more aware than their parents or teachers of the affective and social issues affecting them. Parents seemed most attuned to their child's heightened self-esteem as a result of identification and program participation. Teachers seemed very aware of learning problems displayed by the child, typically related to perceived motivation, organization, and social skills.
Orientation system in Robots: Merging Allothetic and Idiothetic Estimations

— For the last decade, we have developed a bio-inspired control architecture for the autonomous navigation of mobile robots. The robot is able to learn to reproduce a homing or a route following behavior by interacting with a human teacher. However, the system strongly relies on the estimation of the orientation provided by a magnetic compass. We propose in this paper a model of visual compass in order to avoid the use of a magnetic compass. Each online learned visual landmark is associated with the shift between its position in the visual ﬁeld and a direction of reference. The projection and the integration of these data on a one dimensional neural ﬁeld allow to build a visual compass which accurately reconstructs the local reference in the neighborhood of the locations of learning. We also investigate how this visual compass can be used to calibrate an orientation system, which could be maintained by the odometry. Finally, the global system is validated in an experiment of route learning.
A Role for the RASSF1A Tumor Suppressor in the Regulation of Tubulin Polymerization and Genomic Stability

The high frequency with which the novel tumor suppressor RASSF1A is inactivated by promoter methylation suggests that it plays a key role in the development of many primary human tumors. Yet the mechanism of RASSF1A action remains unknown. We now show that RASSF1A associates with microtubules and that this association is essential for RASSF1A to mediate its growth inhibitory effects. Overexpression of RASSF1A promotes the formation of stable microtubules, whereas a dominant-negative fragment of RASSF1A destabilizes microtubule networks. The RASSF1 protein is expressed as two main isoforms, 1A and 1C. The smaller 1C isoform also associates with microtubules but is less effective at stabilizing them. Because RASSF1A and RASSF1C localize to the mitotic spindle, we examined their effects upon genomic instability. RASSF1A and RASSF1C block activated Ras-induced genomic instability. However, a point mutant of RASSF1C, identified in human tumors, was severely defective for stabilizing tubulin and was unable to block the genomic destabilizing effects of Ras. Thus, we identify a role for RASSF1A/C in the control of microtubule polymerization and potentially in the maintenance of genomic stability.
Usage of emotion recognition in military health care

Post Traumatic Stress Disorder (PTSD), depression and suicide are major psychiatric problem in both military and civilian situation. These mental diseases combine with emotion change. Recently, the technology of emotion recognition has been developed rapidly and highly. Therefore, we investigate if the emotion recognition by natural speaking voice could detect the emotion change which would occur when exposing mental stress. We used “Sensibility technology ST Emotion” (AGI Japan Inc.) for emotion voice analysis system. This system determines emotional elements as including anger, joy, sorrow, and calmness. It also measures feeling of excitement. Voice data were collected from the personnel of military medical corps participating in a special stressful mission. The voice data were divided into two groups depending on participating period. Some subject's feelings during experimental period were changed. There is a tendency that “joy” of long stay group (Group L) is lower than short stay group (Group S) and “sorrow” of Group L is higher than Group S. The result suggested that the techniques of emotion recognition may be used for screening of mental status in military situation. However, further development is necessary for practical use.
Sorting and Agglomeration

The distribution of firms in space is far from uniform. Some locations host the most productive large firms, while others barely attract any. In this paper, I study the sorting of heterogeneous firms across locations. I first propose a theory of the distribution of heterogeneous firms in a variety of sectors across cities. Aggregate TFP and welfare depend on the extent of agglomeration externalities produced in cities and on how heterogeneous firms sort across them. The distribution of city sizes and the sorting patterns of firms are uniquely determined in equilibrium. This allows me to structurally estimate the model, using French firm-level data. I find that nearly two thirds of the observed productivity advantage of large cities is due to firm sorting. I use the estimated model to quantify the general equilibrium e↵ects of place-based policies, designed to attract firms to particular regions. I find that policies that decrease local congestion lead to a new spatial equilibrium with higher aggregate TFP and welfare. In contrast, policies that subsidize smaller cities have negative aggregate e↵ects. ⇤cecile.gaubert@berkeley.edu. I am extremely grateful to Esteban Rossi-Hansberg, Steve Redding and Gene Grossman for continuous support and guidance. I also thank Treb Allen, Costas Arkolakis, Thomas Chaney, Don Davis, Jan De Loecker, Gilles Duranton, Pablo Fajgelbaum, Joshua Gottlieb, Pat Kline, Oleg Itskhoki, Kiminori Matsuyama, Eduardo Morales, Dávid Nagy, Andrés Rodŕıguez-Clare, Felix Tintelnot and Jonathan Vogel as well as numerous seminar and conference participants for helpful discussions and comments. This research benefited from financial support from the International Economics Section at Princeton University.
EFFECT OF BALSAMODENDRON MUKUL GUM RESIN EXTRACT ON PAIN RESPONSE IN OSTEOARTHRITIC RATS

Objective: Osteoarthritis (OA) is one of the prevalent and degenerative disorders of the joints that cause significant pain and functional disability. It is a disease in which not only the articular cartilage of the synovial joint is affected but also the adjacent bone, ligaments, capsule, synovial membrane and even peri-articular muscles are distressed. Worldwide 630 million people or 15% population of the globe are affected with OA. According to WHO report up to 40% of people over 70 year of age suffer from knee osteoarthritis. Method: We have taken albino adult female Wistar rats of 200 to 250 gm and segregated into six groups (Control, SHAM, OA, OA+BDM (10%), OA+BDM (20%), OA+BDM (40%) groups. Osteoarthritis was induced by intra-articular injection of Papain and Cystein. The Pain Behavioral tests were performed to evaluate the knee joint pain in all the groups of rats by measuring the Stay Time on Rotarod (STR), Number of Entries (NOE) on photoactometer and Paw Withdrawal Latency (PWL) on eddy hot plate. The results were recorded before and after the induction of OA and treatment. Results: In both the cases, STR and NOE increased in the rats of OA+BDM (10%), OA+BDM (20%), OA+BDM (40%) groups. The PWL was decreased in the group OA+BDM (10%), OA+BDM (20%), OA+BDM (40%) groups. Conclusion: Our results suggest that oral dose of BDM gum resin extract have the potential to relieve the osteoarthritic pain, regenerate the cartilaginous matrix and increase sub chondral bone components. Keywords: Balsamodendron gum resin extract, Number of entries on Photoactometer, Osteoarthritis, Paw withdrawal latency on eddy hotplate, Stay time on Rotarod.
Making Meaning Using Creativity and Spirituality

Abstract This article describes two creative techniques utilized when working with clients. With the increased attention on issues of spirituality, multiculturalism, and creativity, the “Give Away Ceremony” and “Spiritual Symbolism” is demonstrated via a case study approach. Additionally, a brief history of the immersion of spirituality in the counseling profession is addressed.
Program Evaluation in Classrooms for Students with Autism

This article reviews goal attainment scaling as an alternative method for evaluating treatments and programs for children with autism. Traditional evaluation methods such as compliance monitoring and efficacy studies may be unable to account for the elaborate set of components mandated by the Individuals with Disabilities Education Act and the number and variety of treatment/program options available to students with autism. Assessing the quality of program services delivered to children (i.e., process goals) and the progress of children in meeting those goals (i.e., outcome goals) should be the fundamental concern of programs for students with autism. The use of goal attainment scaling as an alternative evaluation method may provide a convergent link between student outcome goals and program goals within a framework of family-centered practices. A case study is provided to illustrate the use of goal attainment scaling.
2016 Third International Conference on Information Retrieval and Knowledge Management Merging the Models of Information Seeking Behaviour to Generate the Generic Phases

— Information seeking behaviour (ISB) is one of the important concepts of information science, library science and social science to predict human behaviour. However, models of ISB are in a variety of forms and have different components. In addition, every model of ISB targets a specific audience, but all models have the same purpose i.e., to fulfil the desired informational needs. Hence, in order to understand the similarity and difference between each model, it is necessary to know the generic behaviour of ISB models. Therefore, the purpose of this paper is to present existing ISB models and generate the generic phases. As a methodology, created the strategy after observing the ISB models i.e., critical review of ISB model, extract the components of ISB, determine the input and output components of ISB, construct table, matching components (ISB), non-matching components (ISB), rearrange all phases and analyse the flow. This strategy helped to merge the models of ISB and placed the similar components (based on the flow and concept) in one phase and different components in different phases. Hence, the significant of this study is to evaluate the generic phases from the combination of ISB models. That helps to differentiate the importance of ISB models components and has rich practical and theoretical implications, which are discussed in the conclusion.
Mechanical Thrombectomy with Rotarex System in Buerger's Disease

We report the case of a patient with 2-month history of chronic thromboembolism of the distal superficial femoral and popliteal arteries with diagnostic features of thromboangiitis obliterans disease. The occlusion could not be crossed by antegrade approach and was achieved retrogradely via dorsalis pedis artery puncture followed by mechanical removal of the thrombus with Rotarex system (Straub Medical AG, Wangs, Switzerland). Subsequent ballooon angioplasties achieved exclusion of the thrombus, and straight-line flow established to the foot through the anterior tibial Artery. The present case report demonstrates the success of mechanical thrombectomy in a patient with Buerger′s vasculitis.
Associations Between Severe Obesity and Depression: Results From the National Health and Nutrition Examination Survey, 2005-2006

Introduction My objectives were to investigate the association between obesity and depression in a representative sample of American adults, investigate sex and severity of obesity as modifiers of the association between depression and body mass index, determine whether large waist circumference is associated with depression, and explore whether specific health behaviors and poor physical health are possible mediators of the association between obesity and depression, if found. Methods The sample consisted of 3,599 nonpregnant adults aged 20 years or older from the National Health and Nutrition Examination Survey, 2005-2006. I operationalized obesity as body mass index (BMI) and waist circumference from the anthropometric measurements of participants and current depression from Patient Health Questionnaire (PHQ-9) scores. I ran logistic regression models with depression as the dependent variable. Results In unadjusted analyses, large waist circumference (≥88 cm for women and ≥102 cm for men) and class III obesity (BMI ≥40 kg/m2) were associated with higher prevalence of depression in women only. All of these associations dramatically weakened after adjusting for demographic factors, self-rated health status, and number of chronic conditions. Conclusion These findings support an association between depression and obesity in women who are severely obese. Future studies should investigate poor physical health as a possible mediator of the association between obesity and depression in this population of women.