Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical expression of obsessive-compulsive disorder in women with bipolar disorder.

OBJECTIVE To study clinical and psychopathological features of obsessive-compulsive disorder (OCD) in women with bipolar disorder (BD). METHODS Fifteen outpatients with concurrent bipolar disorder I (80.0%) or II (20.0%) and obsessive-compulsive disorder were studied. Most of them (80.0%) sought treatment for bipolar disorder. They were ascertained by means of the Structured Clinical Interview for DSM-IV (SCID/P), semi-structured interviews to investigate obsessions, compulsions and sensory phenomena that may precede compulsions and an additional module for the diagnosis of chronic motor and vocal tics. Severity of symptoms was assessed by the Yale-Brown Obsessive-Compulsive Rating Scale, Hamilton Depression Rating Scale and Young Mania Rating Scale. RESULTS Obsessive-compulsive disorder presented early onset (before the age of 10) in 9 (60%) cases, preceded bipolar disorder in 10 (66.7%) and displayed chronic waxing and waning course in 13 (86.7%) of them. There was wide overlap between types of obsessive-compulsive symptoms and all patients experienced sensory phenomena preceding the compulsions. There was no clear-cut impact of depressive and manic episodes on the intensity of obsessive-compulsive symptoms, which increased in depression and decreased in mania in 40.0% of the cases, had the opposite pattern in 26.7% of the patients and fluctuated inconsistently in the rest of them. Tics disorders were diagnosed in 5 (33.3%) patients. CONCLUSIONS Our results suggest that in women with comorbid bipolar disorder and obsessive-compulsive disorder the latter presents features that may be typical of the association of the two disorders, such as early onset and sensory phenomena preceding compulsions. A prospective controlled study is necessary to confirm these observations, due to some limitations of our study: small exclusively female sample, heterogeneity concerning the type of bipolar disorder and the disorder that determined sought of treatment and retrospective non-controlled design.
Impact of reviewing lifelogging photos on recalling episodic memories

Photos are a rich and popular form for preserving memories. Thus, they are widely used as cues to augment human memory. Near-continuous capture and sharing of photos have generated a need to summarize and review relevant photos to revive important events. However, there is limited work on exploring how regular reviewing of selected photos influence overall recall of past events. In this paper, we present an experiment to investigate the effect of regular reviewing of egocentric lifelogging photos on the formation and retrieval of autobiographic memories. Our approach protects the privacy of the participants and provides improved validation for their memory performance compared to existing approaches. The results of our experiment are a step towards developing memory shaping algorithms that accentuate or attenuate memories on demand.
Study of Deflection Routing from an Information-theoretic Perspective

Deflection routing is an effective way to improve the efficiency and reliability of data transmission in the network. Information theory, which is the foundation of channel communications, has not yet had a direct impact on network communications. In this paper, we study the deflection routing processes of point-to-point networks from an information-theoretic perspective. It is found that the packet routing processes, which can further be divided into path determination and path switching, are quite analogous to channel communications. And such a corresponding relationship makes it possible to analyze routing processes and its performance with models and concepts in the information theory.
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks

In cognitive radio (CR) networks, there are scenarios where the secondary (lower priority) users intend to communicate with each other by opportunistically utilizing the transmit spectrum originally allocated to the existing primary (higher priority) users. For such a scenario, a secondary user usually has to tradeoff between two conflicting goals at the same time: one is to maximize its own transmit throughput; and the other is to minimize the amount of interference it produces at each primary receiver. In this paper, we study this fundamental tradeoff from an information-theoretic perspective by characterizing the secondary user's channel capacity under both its own transmit-power constraint as well as a set of interference-power constraints each imposed at one of the primary receivers. In particular, this paper exploits multi-antennas at the secondary transmitter to effectively balance between spatial multiplexing for the secondary transmission and interference avoidance at the primary receivers. Convex optimization techniques are used to design algorithms for the optimal secondary transmit spatial spectrum that achieves the capacity of the secondary transmission. Suboptimal solutions for ease of implementation are also presented and their performances are compared with the optimal solution. Furthermore, algorithms developed for the single-channel transmission are also extended to the case of multichannel transmission whereby the secondary user is able to achieve opportunistic spectrum sharing via transmit adaptations not only in space, but in time and frequency domains as well. Simulation results show that even under stringent interference-power constraints, substantial capacity gains are achievable for the secondary transmission by employing multi-antennas at the secondary transmitter. This is true even when the number of primary receivers exceeds that of secondary transmit antennas in a CR network, where an interesting "interference diversity" effect can be exploited.
A self-organized approach for unsupervised fault detection in multiple systems

An approach is proposed for automatic fault detection in a population of mechatronic systems. The idea is to employ self-organizing algorithms that produce low-dimensional representations of sensor and actuator values on the vehicles, and compare these low-dimensional representations among the systems. If a representation in one vehicle is found to deviate from, or to be not so similar to, the representations for the majority of the vehicles, then the vehicle is labeled for diagnostics. The presented approach makes use of principal component coding and a measure of distance between linear sub-spaces. The method is successfully demonstrated using simulated data for a commercial vehiclepsilas engine coolant system, and using real data for computer hard drives.
Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera

Optical consistency between the real world and the virtual objects is one of the important issues in Augmented Reality (AR). This paper proposes a method to estimate illuminations from an object shadow and incomplete object shape information captured by an RGB-D camera. The environmental illumination can be estimated without any prior knowledge of the object shape. The radiance of each light source is computed by solving linear equations derived from color and depth images. Since a priori knowledge of object shape is not necessary, we can flexibly use/combine any objects. Thus, we can use/combine multiple objects in the target scene to increase the accuracy and flexibility. Experimental results show the characteristics of our proposed method.
Human Tubal-Derived Mesenchymal Stromal Cells Associated with Low Level Laser Therapy Significantly Reduces Cigarette Smoke–Induced COPD in C57BL/6 mice

Cigarette smoke-induced chronic obstructive pulmonary disease is a very debilitating disease, with a very high prevalence worldwide, which results in a expressive economic and social burden. Therefore, new therapeutic approaches to treat these patients are of unquestionable relevance. The use of mesenchymal stromal cells (MSCs) is an innovative and yet accessible approach for pulmonary acute and chronic diseases, mainly due to its important immunoregulatory, anti-fibrogenic, anti-apoptotic and pro-angiogenic. Besides, the use of adjuvant therapies, whose aim is to boost or synergize with their function should be tested. Low level laser (LLL) therapy is a relatively new and promising approach, with very low cost, no invasiveness and no side effects. Here, we aimed to study the effectiveness of human tube derived MSCs (htMSCs) cell therapy associated with a 30mW/3J—660 nm LLL irradiation in experimental cigarette smoke-induced chronic obstructive pulmonary disease. Thus, C57BL/6 mice were exposed to cigarette smoke for 75 days (twice a day) and all experiments were performed on day 76. Experimental groups receive htMSCS either intraperitoneally or intranasally and/or LLL irradiation either alone or in association. We show that co-therapy greatly reduces lung inflammation, lowering the cellular infiltrate and pro-inflammatory cytokine secretion (IL-1β, IL-6, TNF-α and KC), which were followed by decreased mucus production, collagen accumulation and tissue damage. These findings seemed to be secondary to the reduction of both NF-κB and NF-AT activation in lung tissues with a concomitant increase in IL-10. In summary, our data suggests that the concomitant use of MSCs + LLLT may be a promising therapeutic approach for lung inflammatory diseases as COPD.
Kinetic isotope effects in the gas phase reactions of OH and Cl with CH 3 Cl, CD 3 Cl, and 13 CH 3 Cl

Abstract. The kinetic isotope effects in the reactions of CH3Cl, 13CH3Cl and CD3Cl with OH radicals and Cl atoms were studied in relative rate experiments at 298±2 K and 1013±10 mbar. The reactions were carried out in a smog chamber using long path FTIR detection and the spectroscopic data analyzed employing a non-linear least squares spectral fitting method using measured high-resolution infrared spectra as well as absorption cross sections from the HITRAN database. The reaction rates of 13CH3Cl and CD3Cl with OH and Cl were determined relative to CH3Cl as: kOH+CH3ClkOH+CH3Cl/kOH+13CH3Cl}kOH+13CH3Cl=1.059±0.008, kOH+CH3ClkOH+CH3Cl/kOH+CD3ClkOH+CD3Cl=3.9±0.4, kCl+CH3ClkCl+CH3Cl/kCl+13CH3ClkCl+13CH3Cl =1.070±0.010 and kCl+CH3ClkCl+CH3Cl/kCl+CD3ClkCl+CD3Cl=4.91±0.07. The uncertainties given are 2σ from the statistical analyses and do not include possible systematic errors. The unexpectedly large 13C kinetic isotope effect in the OH reaction of CH3Cl has important implications for the global emission inventory of CH3Cl.
Understanding Pose Discrimination in Similarity Space

Identity-independent estimation of head pose from prototype images is a perplexing task, requiring pose-invariant face detection. The problem is exacerbated by changes in illumination, identity and facial position. Facial images must be transformed in such a way as to emphasise di erences in pose, while suppressing di erences in identity. We investigate appropriate transformations for use with a similarityto-prototypes philosophy. The results show that orientation-selective Gabor lters enhance di erences in pose, and that di erent lter orientations are optimal at di erent poses. In contrast, PCA was found to provide an identity-invariant representation in which similarities can be calculated more robustly. We also investigate the angular resolution at which pose changes can be resolved using our methods. An angular resolution of 10 was found to be su ciently discriminable at some poses but not at others, while 20 is quite acceptable at most poses.
Transient analysis of Markov regenerative stochastic Petri nets: a comparison of approaches

We present and compare two different approaches for the transient solution of Markov regenerative stochastic Petri Nets: the method based on Markov regenerative theory and the method of supplementary variables. In both cases the equations that govern the marking process of the non-Markovian stochastic Petri net are presented and then solved either in time-domain or using a Laplace-Stieltjes transformation. Then a comparison of both approaches is presented: expressions for asymptotic computational costs and storage requirements are developed and experimental studies are performed to compare accuracy, time, and space complexity.
Lightweight virtual memory support for many-core accelerators in heterogeneous embedded SoCs

While high-end heterogeneous systems are increasingly supporting heterogeneous uniform memory access (hUMA) as envisioned by the Heterogeneous System Architecture (HSA) foundation, their low-power counterparts targeting the embedded domain still lack basic features like virtual memory support for accelerators. As opposed to simply passing virtual address pointers, explicit data management involving copies is needed to share data between host processor and accelerators which hampers programmability and performance. In this work, we present a mixed hardware/software solution to enable lightweight virtual memory support for many-core accelerators in heterogeneous embedded systems-on-chip (SoCs). Based on an input/output translation lookaside buffer (IOTLB), efficiently managed by a kernel-level driver module running on the host, our solution features a considerably lower design complexity compared to conventional input/output memory management units. Using our evaluation platform based on the Xilinx Zynq-7000 SoC with a many-core accelerator implemented in the programmable logic, we demonstrate the effectiveness of our solution and the benefits of virtual memory support for embedded heterogeneous SoCs.
Design and optimization of type-2 fuzzy system in FPGAs

This paper explains the design of a type-2 average fuzzy logic controller (AT2-FLC) on FPGAs and its optimization using genetic algorithms for the regulation of speed of a DC motor, using the Xilinx Spartan 3A XC3S700A and Xilinx Environment Foundation. The AT2-FLC is codified in VHDL, then is simulated in the Xilinx System Generator and then is implemented in Spartan. The optimization is coded in Matlab.
Thrifty Search of Interlocking Neighbor Grids for Enhancing Efficiency of Grid-Based Clustering

Information technology has advanced with astonishing speed in the digital age, and the amount of data stored in databases is rapidly increasing. For data mining in large organizational databases, efficiency, accuracy and ease of use are essential. Thus, methods of retrieving useful information from large databases quickly and effectively need in-depth study. By using horizontaland vertical-search methods to perform clustering diffusion, this grid-based algorithm reduces the cost of clustering and improves efficiency. Experimental comparisons show that the TING can function with a simple framework and can perform clustering for any graphics dataset. Performance comparisons also show that TING outperforms other well-known methods such as the IDBSCAN, GOD-CS and FARM algorithms, and its high accuracy and low run-time cost make it efficient and effective for data clustering in large databases.
Clustering Algorithm with Ant Colony Based on Stochastic Best Solution Kept

Ant colony optimization (ACO) is a population-based meta-heuristic that can be used to find approximate solutions to difficult optimization problems. Clustering Analysis, which is an important method in data mining, classifies a set of observations into two or more mutually exclusive unknown groups. This paper presents a novel clustering algorithm with ant colony based on stochastic best solution kept--ESacc. The algorithm is based on Sacc that was proposed by P.S. Shelokar and presents a method that best values are kept stochastically. The results of several times experiments in three datasets show that the new algorithm-ESacc is less in running time, is better in clustering effect and more stable than Sacc. Experimental results validate the novel algorithmpsilas efficiency.
Social Activities Do not Distract Everyone from Work A Diary Study of Work-Related Perseverative Cognition

Work-related perseverative cognition (WPC) involves rumination about the past and worry about the future regarding workplace issues. Such cognition impedes workers’ daily recovery and well-being as it fosters prolonged activation of psychological stressors during leisure time. Considering these detrimental effects, it is important, for both theoretical and practical considerations to highlight coping strategies that individuals can use to reduce daily WPC. Previous studies have led to contradictory results regarding the potential of social activities to decrease daily WPC. The aim of this study was to bring new insights on these results by examining how the benefits from time spent on social activities (i.e., reducing WPC) vary according to an individual’s level of neuroticism. A total of 48 daytime workers from a Canadian university completed evening diaries on 10 days during two consecutive workweeks (316 data points). Participants recorded the number of minutes spent on social activities after each workday and the extent to which a series of WPC had crossed their mind during the evening. Results from Hierarchical Linear Modeling (HLM) analyses revealed that time spent on social activities was associated to a daily decrease of WPC for workers low in neuroticism but to an increase of WPC for those high in neuroticism. This study suggests that workers high in neuroticism may be less likely to benefit from social activities. The discussion focuses on why potentially protective mechanisms associated with social activities may not be helpful to them. Practical implications based on individuals’ level of neuroticism are offered.
Cultural Impact on National Competitiveness

Culture has become an essential factor in understanding different economic and business environment s. The influence culture has on people and societ y has been studied, defined and categorized by scholars through various models. The framework of five cultural dimensions developed by Hofstede is the most popular cultural model , but problems still exist regarding its accuracy. In this paper, the five dimensions have been revised into three dimensions – Individualism, Uncertainty Avoidance, and Openness – and have been applied in an empirical study with a country-based perspective. Through this new cultural model, companies and governments can get a better understanding of culture and its relationship to national competitiveness and the business environment.
A single-multiplier quadratic interpolator for LNS arithmetic

Linear interpolation requires a single multiplication but is significantly less accurate than quadratic interpolation. The latter requires two multiplications. Two novel quadratic interpolation schemes are shown that approximate the functions required by the logarithmic number system (LNS) with more accuracy than linear interpolation using only a single multiplication. One method uses two ROMs to give the accuracy of quadratic interpolation, whilst the other uses one ROM to give four- to six-bits better accuracy than linear interpolation. These techniques save four- to eight-fold on memory compared to linear interpolation for the same accuracy. We illustrate the usefulness of these techniques for serial implementation with a clone of the ARM/sup TM/ microprocessor (known as AWE) that we developed with LNS instructions. We also show a novel technique for decreasing the propagation delay in both linear and quadratic interpolation that stores the logarithm of the derivative of the function in a ROM, rather than the function itself.
Winner Determination in Multi-Attribute Auctions

The theory of procurement auctions traditionally assumes that the offered quantity and quality is fixed prior to source selection. Multi-attribute reverse auctions allow negotiation over price and qualitative attributes such as color, weight, or delivery time. They promise higher market efficiency through a more effective information exchange of buyer’s preferences and supplier’s offerings. This paper focuses on a number of winner determination problems in multi-attribute auctions. Previous work assumes that multiattribute bids are described as attribute value pairs and that the entire demand is purchased from a single supplier. Our contribution is twofold: First, we will analyze the winner determination problem in case of multiple sourcing. Second, we will extend the concept of multi-attribute auctions to allow for configurable offers. Configurable offers enable suppliers to specify multiple values and price markups for each attribute. In addition, suppliers can define configuration and discount rules in form of propositional logic statements. These extensions provide suppliers with more flexibility in the specification of their bids and allow for an efficient information exchange among market participants. We will present MIP formulations for the resulting allocation problems and an implementation. WINNER DETERMINATION IN MULTI-ATTRIBUTE AUCTIONS © IBM T. J. Watson Research Center, NY, USA 2
‘You’re given just a page to show the real you’: To what extent does gender influence perceptions of self-expression on Facebook? A discourse analysis

The current study aims to test the extent to which gender is made relevant within the discussion of self-expression online. By using Subrahmanyam’s (2008) co-construction model, perceptions of individuals were also analysed for recognition of offline/online fusion. 3 male and 3 female participants took part in semi-structured interviews, where they were expected to discuss online self-expression (in relation to themselves personally, those around them, and society at large). Data was then transcribed and then explored using discourse analysis with reference to Fairclough (2001). Participants expressed the motivation to manipulate self-expression, in order to produce an online identity which enhances the offline self. Gender was not found to substantially affect this process, as Facebook provides all members with an equal opportunity to express online. When describing characteristics normatively associated with a particular gender stereotype, individuals often asserted that this behaviour could be related to male or female self-expression; thus creating a lack of gender reinforcement within conversation.
Camel and bovine chymosin: the relationship between their structures and cheese-making properties

Analysis of the crystal structures of the two milk-clotting enzymes bovine and camel chymosin has revealed that the better milk-clotting activity towards bovine milk of camel chymosin compared with bovine chymosin is related to variations in their surface charges and their substrate-binding clefts.
Financial Empowerment and Health Related Quality of Life in Family Scholar House Participants

Research demonstrates an association between poverty and health. Populations in poverty suffer from poor mental and physical health, and thus, poor health-related quality of life. Research also indicates people living in the lower socio-economic categories experience higher levels of stress that are associated with these health declines. Family Scholar House, a local community intervention designed to alleviate poverty and improve socio-economic status by providing college education and support to single parents, combats these health outcomes by addressing the five social determinants of health (economic stability, education, social and community context, health care, and neighborhood and built environment). Quantitative analysis indicates an improvement in mental health among Family Scholar House participants: 0-12 month participants reported significantly more mentally unhealthy days than a control group; however, this difference is no longer significant at the end of participant’s time in the program. Qualitative analysis suggests this improvement may be due to stress reduction related to increased economic stability and financial security gained through an intentional implementation of a financial empowerment curriculum within the Family Scholar House program. Implementation of financial empowerment into community programs designed to alleviate poverty may improve mental health and thus health-related quality of life.