Miracle-dz/UniFAR-FTUs huggingface dataset:
Adherence to Medication Regimen in Patients with Severe and Chronic Psychiatric Disorders: A Qualitative Study

Nonadherence to treatment is common in patients with chronic psychiatric disorders. Few studies have been conducted in Iran on lack of adherence to medication regimen in patients with severe psychiatric disorders. The present study was carried out with the purpose of gaining insight into the experiences of patients, their family members, and nurses on the medication adherence in patients with severe and chronic psychiatric disorders in selected hospitals in Ahvaz, Iran. A qualitative content analysis study was used in the study and the participants included 7 nurses, 5 patients, and 4 family members. The patients were being treated in psychiatric wards of the hospitals of Ahvaz, in southern Iran. The results of data analysis revealed three main themes: 1) Intentional abandonment of medications; 2) Catalysts of medication discontinuation (including side effects, asymptomatic periods, lack of knowledge of family members, and cultural shame of medication use); and 3) Consequences of medication discontinuation. According to the findings of the study, cultural attitudes play an important role in adherence to treatment regimen among the patients with chronic psychiatric disorders. It is recommended to arrange different programs to improve the situation with an emphasis on improving the general attitude of society towards mental illnesses and the need for regular use of the medications.
Applying Influence Diagrams to Infer Rival's Private Information

It is important for having the initiative in competition to infer the rival’s private information accurately. In this paper, the rival’s decision making model is described by influence diagram. According to the criterion that rival is apt to gain the global maximum expected utility rather than to gain the local maximum expected utility, we infer rival’s private information about cost, bankroll, tactic, and utility by combining decision computation and Bayesian network illation. The experiment results show that our proposed method is feasible.
Empirical analysis of grouping web pages using vector space model for link structures

Several kinds of vector space models for analyzing document similarity for grouping Web pages have been developed. However, they are not used for analyzing link structures, partly because they are complex and links do not necessarily satisfy the similarity relation. If we can devise vector space models for link structures, we can combine them with those models for document similarity in order to develop the unified basis for grouping Web pages. In this paper, we present a vector space model for link structures, based on the notion of link vectors, the specifically designed characteristic vectors for link structures. We also discuss the extension of this model to the model called content-link vector space model, which can treat document information and link information of Web pages in a unified way. The preliminary experiments show that the models show good performance even when document information is ignored.
LEUCAENA LEUCOCEPHALA AS A SUPPLEMENT FOR GOATS ON TROPICAL PASTURES

23-9 ABSTRACT A field experiment was conducted in the dryland farming area of Northwest Venezuela in order to evaluate three diets in grazing goats (pasture only; grazing pasture + 0.3 kg of commercial concentrate/ animal/d; grazing pasture + restricted grazing for 2 hours daily in Leucaena leucocephala) on milk production (mp) and milk composition (fat -fand mineral concentration -mc-). The experiment was laid out as randomized block design. The data showed significant difference (P<0.05) between treatments. Milk production increased in 50 and 70% when goats had access to commercial concentrate or Leucaena graizing as well as grass pasture compared with the control treatment. Milk production in goats with access to Leucaena was insignificantly different than goats on concentrate. Treatments did not affect milk composition. The results suggest that Leucaena leucocephala can supply an adequate amount of nutrient with similar value to commercial concentrate for milk production in grazing goats.
Free and constrained motion teleoperation via naturally-transitioning rate-to-force control

The naturally-transitioning rate-to-force controller (NTRFC) is presented for remote teleoperation of manipulators. Our goal is to provide a single controller which handles free motion, constrained motion, and the transition in-between without any artificial changes. In free motion the displacement of the master device is proportional to the commanded Cartesian rate of the remote manipulator. In contact the displacement of the human operator's hand is proportional to the wrench exerted on the environment by the remote manipulator. The transition between free rate motion and applied-wrench contact with the environment requires no changes in control mode or gains and hence is termed natural. Furthermore, in contact, if the master enables force reflection, the wrench of the human operator's hand exerted on the master is proportional to the wrench exerted on the environment by the remote manipulator. This paper demonstrates the NTRFC concept via a simple 1-DOF model and then discusses experimental implementation and results from a remote Merlin manipulator teleoperated via the force-reflecting PHANToM interface.
A comparative evaluation of finger and pen stroke gestures

This paper reports an empirical investigation in which participants produced a set of stroke gestures with varying degrees of complexity and in different target sizes using both the finger and the pen. The recorded gestures were then analyzed according to multiple measures characterizing many aspects of stroke gestures. Our findings were as follows: (1) Finger drawn gestures were quite different to pen drawn gestures in basic measures including size ratio and average speed. Finger drawn gestures tended to be larger and faster than pen drawn gestures. They also differed in shape geometry as measured by, for example, aperture of closed gestures, corner shape distance and intersecting points deviation; (2) Pen drawn gestures and finger drawn gestures were similar in several measures including articulation time, indicative angle difference, axial symmetry and proportional shape distance; (3) There were interaction effects between gesture implement (finger vs. pen) and target gesture size and gesture complexity. Our findings show that half of the features we tested were performed well enough by the finger. This finding suggests that "finger friendly" systems should exploit these features when designing finger interfaces and avoid using the other features in which the finger does not perform as well as the pen.
v 3 1 6 Fe b 20 04 Unconditionally Secure Quantum mout-of-n Oblivious Transfer ∗

Quantum cryptography is one example of applying a deep understanding of quantum physics to create a novel technology of potentially enormous significance. Oblivious Transfer (OT) is used as a key component in many applications of cryptography. Crépeau showed the first quantum 1-out-of-2 oblivious transfer in 1994 based on the transmission of polarized light and the exist of the secure quantum bit commitment protocol. The protocol he constructed satisfy both the correctness and the privacy for Alice with probability 1−εn, the privacy for Bob with probability 1 2 . In this paper, we show that quantum can be constructed using only the Bell states, and the scheme satisfies the correctness and the privacy for Alice with probability 1, the privacy for Bob with probability 1 2 . Furthermore, we show the relations between the OTs, i.e. Bit-QOT 2 can be constructed using String-QOT 2 , String-QOT n can be constructed using String-QOT 2 , String-QOTm n can be constructed using String-QOT n , and vice versa. We get the conclusion that String-QOT n can be constructed using Bit-QOT 2 and vice versa. So, String-QOTm n and Bit-QOTm n can be constructed by the Bit-QOT 2 . Finally, We show that quantum bit commitment and quantum coin flipping can be constructed using QOT.
In Vivo Tracking of Stem Cells for Clinical Trials in Cardiovascular Disease

Various stem cells hold promise for the treatment of human cardiovascular disease. Regardless of stem cell origin, future clinical trials will require that the location and number of such cells be tracked in vivo, over long periods of time. The problem of tracking small numbers of cells in the body is a difficult one, and an optimal solution does not yet exist. We review the many contrast agents and detectors that have been proposed for stem cell tracking during clinical trials, define the characteristics of an ideal imaging technology, and suggest future directions for research.
Categories and Subject Descriptors :

As directed by the ACM Ed Board, the ACM Committee for Computing Education in Community Colleges (ACM CCECC) is engaged in defining the core IT learning outcomes which should be common to all associate-degree IT programs, assembled into a framework of defined domains and accompanied by assessment rubrics. The results are now being made available.
Distributed Subchannel Allocation for Interference Mitigation in OFDMA Femtocells: A Utility-Based Learning Approach

Both orthogonal frequency-division multiple access (OFDMA) and femtocell are promising technologies providing subscribers with better services. However, due to the ad hoc nature of femtocells, there is a great challenge to mitigate interference, which may seriously compromise the benefits promised by this novel network architecture. This paper investigates the distributed subchannel allocation (DSA) for cotier interference mitigation in OFDMA-based femtocells, where the femtocells and macrocell transmit on orthogonal subchannels. Particularly, to intuitively study system performance, we formulate this problem as a noncooperative rate maximization game where the utility of each player or femtocell access point is its capacity instead of the incoming interference. Unfortunately, the uncertainty of the existence of the Nash equilibrium for this game makes it difficult to design efficient distributed schemes. To address this issue, we introduce a state space to reflect players' desire for new strategies and then devise a utility-based learning model that requires no information exchange between different players. Utilizing this model, a utility-based DSA algorithm is developed. Moreover, it is analytically shown that the Pareto-optimal solution can be achieved with our proposed algorithm, and as a result, the overall capacity can be efficiently improved, and the system interference can be efficiently mitigated. Finally, simulation results verify the validity of our analysis and demonstrate that our scheme performs comparably or even better compared with the existing strategies, which require information exchange among different femtocells.
Horizontal and Vertical Ensemble with Deep Representation for Classification

Representation learning, especially which by using deep learning, has been widely applied in classication. However, how to use limited size of labeled data to achieve good classication performance with deep neural network, and how can the learned features further improve classication remain indenite. In this paper, we propose Horizontal Voting Vertical Voting and Horizontal Stacked Ensemble methods to improve the classication performance of deep neural networks. In the ICML 2013 Black Box Challenge, via using these methods independently, Bing Xu achieved 3rd in public leaderboard, and 7th in private leaderboard; Jingjing Xie achieved 4th in public leaderboard, and 5th in private leaderboard.
Towards Improving Ant-Based Clustering - An Chaotic Ant Clustering Algorithm

Ant-based clustering as a nature-inspired heuristic algorithm has been applied in a data-mining context to perform both clustering and topographic mapping. It is derived from a basic model of behavior observed in real ant colonies. Early works demonstrated some promising characteristics of the ant-based clustering, but they did not extend to improve its performance, stability, convergence, and other key features. In this paper, we describe an improved version, called CACAS, adopting an important strategy of using chaotic perturbation to improve individual quality and utilized chaos perturbation to avoid the search being trapped in local optimum. We compare its performance with the K-means approach and ant-based clustering by evaluation functions and topographic mapping using a set of analytical data. Our results demonstrate CACAS is a robust and viable approach.
Learning Sentence Representation with Context

Vector representation of sentences is important for many text processing tasks that involve classifying, clustering, or ranking sentences. For solving these tasks, bag-of-word based representation has been used for a long time. In recent years, distributed representation of sentences learned by neural models from unlabeled data has been shown to outperform traditional bag-of-words representations. However, most existing methods belonging to the neural models consider only the content of a sentence, and disregard its relations with other sentences in the context. In this paper, we first characterize two types of contexts depending on their scope and utility. We then propose two approaches to incorporate contextual information into content-based models. We evaluate our sentence representation models in a setup, where context is available to infer sentence vectors. Experimental results demonstrate that our proposed models outshine existing models on three fundamental tasks, such as, classifying, clustering, and ranking sentences.
A relay selection method for bidirectional wireless cooperative networks based on the log-likelihood ratio

Applying network coding to a wireless cooperative communication network always proves beneficial, in terms of gains in spatial diversity, improved coverage and channel capacity. In this paper, a relay-selection method for a bidirectional (two-way) wireless cooperative communication system is proposed. A single best relay node or set of relay nodes are selected to jointly forward the combined data streams from two users. The method is based on the value of the log-likelihood ratio of the received signal at each relay node in the system. Performance is measured in terms of bit error rate (BER) curves and outage probability curves. A comparison with opportunistic relaying is carried out.
GLP-1R Agonist Liraglutide Activates Cytoprotective Pathways and Improves Outcomes After Experimental Myocardial Infarction in Mice

OBJECTIVE Glucagon-like peptide-1 receptor (GLP-1R) agonists are used to treat type 2 diabetes, and transient GLP-1 administration improved cardiac function in humans after acute myocardial infarction (MI) and percutaneous revascularization. However, the consequences of GLP-1R activation before ischemic myocardial injury remain unclear. RESEARCH DESIGN AND METHODS We assessed the pathophysiology and outcome of coronary artery occlusion in normal and diabetic mice pretreated with the GLP-1R agonist liraglutide. RESULTS Male C57BL/6 mice were treated twice daily for 7 days with liraglutide or saline followed by induction of MI. Survival was significantly higher in liraglutide-treated mice. Liraglutide reduced cardiac rupture (12 of 60 versus 46 of 60; P = 0.0001) and infarct size (21 ± 2% versus 29 ± 3%, P = 0.02) and improved cardiac output (12.4 ± 0.6 versus 9.7 ± 0.6 ml/min; P = 0.002). Liraglutide also modulated the expression and activity of cardioprotective genes in the mouse heart, including Akt, GSK3β, PPARβ-δ, Nrf-2, and HO-1. The effects of liraglutide on survival were independent of weight loss. Moreover, liraglutide conferred cardioprotection and survival advantages over metformin, despite equivalent glycemic control, in diabetic mice with experimental MI. The cardioprotective effects of liraglutide remained detectable 4 days after cessation of therapy and may be partly direct, because liraglutide increased cyclic AMP formation and reduced the extent of caspase-3 activation in cardiomyocytes in a GLP-1R–dependent manner in vitro. CONCLUSIONS These findings demonstrate that GLP-1R activation engages prosurvival pathways in the normal and diabetic mouse heart, leading to improved outcomes and enhanced survival after MI in vivo.
Characterizing differential individual response to porcine reproductive and respiratory syndrome virus infection through statistical and functional analysis of gene expression

We evaluated differences in gene expression in pigs from the Porcine Reproductive and Respiratory Syndrome (PRRS) Host Genetics Consortium initiative showing a range of responses to PRRS virus infection. Pigs were allocated into four phenotypic groups according to their serum viral level and weight gain. RNA obtained from blood at 0, 4, 7, 11, 14, 28, and 42 days post-infection (DPI) was hybridized to the 70-mer 20K Pigoligoarray. We used a blocked reference design for the microarray experiment. This allowed us to account for individual biological variation in gene expression, and to assess baseline effects before infection (0 DPI). Additionally, this design has the flexibility of incorporating future data for differential expression analysis. We focused on evaluating transcripts showing significant interaction of weight gain and serum viral level. We identified 491 significant comparisons [false discovery rate (FDR) = 10%] across all DPI and phenotypic groups. We corroborated the overall trend in direction and level of expression (measured as fold change) at 4 DPI using qPCR (r = 0.91, p ≤ 0.0007). At 4 and 7 DPI, network and functional analyses were performed to assess if immune related gene sets were enriched for genes differentially expressed (DE) across four phenotypic groups. We identified cell death function as being significantly associated (FDR ≤ 5%) with several networks enriched for DE transcripts. We found the genes interferon-alpha 1(IFNA1), major histocompatibility complex, class II, DQ alpha 1 (SLA-DQA1), and major histocompatibility complex, class II, DR alpha (SLA-DRA) to be DE (p ≤ 0.05) between phenotypic groups. Finally, we performed a power analysis to estimate sample size and sampling time-points for future experiments. We concluded the best scenario for investigation of early response to PRRSV infection consists of sampling at 0, 4, and 7 DPI using about 30 pigs per phenotypic group.
Fast and Vulnerable: A Story of Telematic Failures

Modern automobiles are complex distributed systems in which virtually all functionality--from acceleration and braking to lighting and HVAC -- is mediated by computerized controllers. The interconnected nature of these systems raises obvious security concerns and prior work has demonstrated that a vulnerability in any single component may provide the means to compromise the system as a whole. Thus, the addition of new components, and especially new components with external networking capability, creates risks that must be carefully considered. In this paper we examine a popular aftermarket telematics control unit (TCU) which connects to a vehicle via the standard OBD-II port. We show that these devices can be discovered, targeted, and compromised by a remote attacker and we demonstrate that such a compromise allows arbitrary remote control of the vehicle. This problem is particularly challenging because, since this is aftermarket equipment, it cannot be well addressed by automobile manufacturers themselves.
Using WordNet in a Knowledge-Based Approach to Information Retrieval

The application of natural language processing tools and techniques to information retrieval tasks has long since been identified as potentially useful for the quality of information retrieval. Traditionally, IR has been based on matching words or terms in a query with words or terms in a document. In this paper we introduce an approach to IR based on computing a semantic distance measurement between concepts or words and using this word distance to compute a similarity between a query and a document. Two such semantic distance measures are presented in this paper and both are benchmarked on queries and documents from the TREC collection. Although our results in terms of precision and recall are disappointing, we rationalise this in terms of our experimental setup and our results show promise for future work in this area.
The effect of MELatOnin on Depression, anxietY, cognitive function and sleep disturbances in patients with breast cancer. The MELODY trial: protocol for a randomised, placebo-controlled, double-blinded trial

Introduction Breast cancer represents about one-third of all cancer diagnoses and accounts for about 15% of cancer deaths in women. Many of these patients experience depression, anxiety, sleep disturbances and cognitive dysfunction. This may adversely affect quality of life and also contribute to morbidity and mortality. Melatonin is a regulatory circadian hormone having, among others, a hypnotic and an antidepressive effect. It has very low toxicity and very few adverse effects compared with the more commonly used antidepressants and hypnotics. Methods and analysis The objective of this double-blind, randomised, placebo-controlled trial is to investigate whether treatment with oral melatonin has a prophylactic or ameliorating effect on depressive symptoms, anxiety, sleep disturbances and cognitive dysfunction in women with breast cancer. Furthermore, the authors will examine whether a specific clock-gene, PER3, is correlated with an increased risk of depressive symptoms, sleep disturbances or cognitive dysfunction. The MELODY trial is a prospective double-blinded, randomised, placebo-controlled trial in which the authors intend to include 260 patients. The primary outcome is depressive symptoms measured by the Major Depression Inventory. The secondary outcomes are anxiety measured by a Visual Analogue Scale, total sleep time, sleep efficiency, sleep latency and periods awake measured by actigraphy and changes in cognitive function measured by a neuropsychological test battery. Tertiary outcomes are fatigue, pain, well-being and sleep quality/quantity measured by Visual Analogue Scale and sleep diary and sleepiness measured by the Karolinska Sleepiness Scale. The PER3 genotype is also to be determined in blood samples.
Studies on impact modification of polystyrene (PS) by ethylene–propylene–diene (EPDM) rubber and its graft copolymers. I. PS/EPDM and PS/EPDM‐g‐styrene blends

Ethylene–propylene–diene (EPDM) rubber is an excellent rubber for outdoor use. High impact polystyrene (PS) containing EPDM rubber may show improved weathering resistance. PS is incompatible with EPDM; hence bulk polymerization technique is adopted for the synthesis of graft products which show limited compatibility with PS. Two initiators were chosen at two different working temperatures to produce high grafting efficiency and grafting percentage. In the present system, it is shown that the graft copolymer and polystyrene compositions show higher improved impact strength behavior than that of the products based upon simple dispersion of EPDM in polystyrene.