Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF ERGODIC THROUGHPUT UNDER OPPORTUNISTIC SPACE DIVISION MULTIPLE ACCESS WITH BEAM SELECTION ( OSDMA-S ) FOR MASSIVE MIMO-BC CHANNEL IN DYNAMIC SYSTEM

Opportunistic space division multiple access technology with beam selection is the promising technique to increase the throughput of the system. In this paper we are proposing Opportunistic space division multiple access technology with beam selection for dynamic system for massive MIMO system. OSDMA-S is the technology in which we generate a orthonormal beam forming vector which carry the message symbols. In this paper we are making the static system into dynamic system by introducing a new parameter then we will be able to increase the throughput of the system. Keywords— OSDMA-S, MIMO, SDMA, static, dynamic, massive MIMO.
Isolation and Characterization of the Brassinosteroid Receptor Gene (GmBRI1) from Glycine max

Brassinosteroids (BRs) constitute a group of steroidal phytohormones that contribute to a wide range of plant growth and development functions. The genetic modulation of BR receptor genes, which play major roles in the BR signaling pathway, can create semi-dwarf plants that have great advantages in crop production. In this study, a brassinosteroid insensitive gene homologous with AtBRI1 and other BRIs was isolated from Glycine max and designated as GmBRI1. A bioinformatic analysis revealed that GmBRI1 shares a conserved kinase domain and 25 tandem leucine-rich repeats (LRRs) that are characteristic of a BR receptor for BR reception and reaction and bear a striking similarity in protein tertiary structure to AtBRI1. GmBRI1 transcripts were more abundant in soybean hypocotyls and could be upregulated in response to exogenous BR treatment. The transformation of GmBRI1 into the Arabidopsis dwarf mutant bri1-5 restored the phenotype, especially regarding pod size and plant height. Additionally, this complementation is a consequence of a restored BR signaling pathway demonstrated in the light/dark analysis, root inhibition assay and BR-response gene expression. Therefore, GmBRI1 functions as a BR receptor to alter BR-mediated signaling and is valuable for improving plant architecture and enhancing the yield of soybean.
INSTRUCTIONAL DESIGN AND ASSESSMENT Development of a Course Review Process

Objective. To describe and assess a course review process designed to enhance course quality. Design.A course review process led by the curriculum and assessment committees was designed for all required courses in the doctor of pharmacy (PharmD) program at a school of pharmacy. A rubric was used by the review team to address 5 areas: course layout and integration, learning outcomes, assessment, resources and materials, and learner interaction. Assessment. One hundred percent of targeted courses, or 97% of all required courses, were reviewed from January to August 2010 (n530). Approximately 3.5 recommendations per course were made, resulting in improvement in course evaluation items related to learning outcomes. Ninety-five percent of reviewers and 85% of course directors agreed that the process was objective and the course review process was important. Conclusion. The course review process was objective and effective in improving course quality. Future work will explore the effectiveness of an integrated, continual course review process in improving the quality of pharmacy education.
Adaptive frequency tracking for robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise

In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to monitor heart rate (HR) during physical exercise. However, PPG waveforms are easily corrupted by motion artifacts, rendering HR estimation difficult. In this study, HR was estimated using wrist-type PPG signals. A normalized least-mean-squares (NLMS) algorithm was first used to attenuate motion artifacts and reconstruct multiple PPG waveforms from different combinations of corrupted PPG waveforms and accelerometer (ACC) data. An adaptive band-pass filter was then used to track the common instantaneous frequency component (i.e. HR) of the reconstructed PPG waveforms. Our proposed HR estimation method, which is almost real time, resulted in an average absolute error of 1.71 ± 0.49 beats-per-minute and a Pearson correlation coefficient of 0.994 between the true and the estimated HR values. Importantly, as all ACC-PPG combinations were used for motion artifacts cancellation, no assumption about individual ACC axis contribution was required.
The Swarm Intelligence Optimization Algorithm and its Application

In the article, three kinds of swarm intelligence optimization algorithm are discussed including the ant colony optimization (ACO) algorithm, the particle swarm optimization (PSO) algorithm and the shuffled frog leaping algorithm (SFLA). The principle, development and application of each algorithm is introduced. Finally, an example of TSP is used to test the performance of ACO.
Biomedical entity extraction using machine-learning based approaches

In this paper, we present the experiments we made to process entities from the biomedical domain. Depending on the task to process, we used two distinct supervised machine-learning techniques: Conditional Random Fields to perform both named entity identification and classification, and Maximum Entropy to classify given entities. Machine-learning approaches outperformed knowledge-based techniques on categories where sufficient annotated data was available. We showed that the use of external features (unsupervised clusters, information from ontology and taxonomy) improved the results significantly.
Comparison between qualitative and semiquantitative catheter-tip cultures: laboratory diagnosis of catheter-related infection in newborns

This prospective study evaluated semiquantitative and qualitative catheter-culture methods for diagnosis of catheter-related infection (CRI) in newborns. Catheter tips from newborns admitted to the Neonatal Unit of the University Hospital of the Botucatu Medical School, UNESP were included in the study. Catheter cultures were performed with both semiquantitative and qualitative techniques. For CRI diagnosis, microorganisms isolated from catheter cultures and from peripheral blood cultures were identified and submitted to agent susceptibility test. The gold standard was the certain CRI diagnosis when same microorganism (specie and profile of susceptibility to agents) was isolated from both catheter tips and peripheral blood culture. A total of 85 catheters from 63 newborns were included in the study. The semiquantitative culture method, despite presenting lower sensitivity (90%), showed higher specificity (71%) when compared to 100% of sensitivity and 60% of specificity in the qualitative method. The identification of the microorganisms obtained from the catheter cultures showed a prevalence of coagulase-negative staphylococci (CNS) species. The specie Staphylococcus epidermidis (77.5%) was the prevalent in the catheters with positive semiquantitative cultures. Among 11 episodes with CRI diagnosis, 8 (72.7%) were associated with CNS species, of which 6 were S. epidermidis. Two episodes of CRI by S. aureus and one by Candida parapsilosis were also detected. The semiquantitative catheter-culture method showed advantages for CRI diagnosis in newborns when compared to the conservative qualitative method.
Sequence motifs for calmodulin recognition

Calmodulin (CaM) is recognized as a major calcium sensor and orchestrator of regulatory events through its interaction with a diverse group of cellular proteins. Many investigations have focused on defining the region of interaction between CaM and its cellular targets and the action of CaM on target protein function. Because CaM can bind with high affinity to a relatively small α‐helical region of many proteins, success in clearly defining the essential elements of CaM binding motifs seems feasible and should provide a means of identifying CaM binding proteins. Three recognition motifs for CaM interaction are discussed in the context of experimental investigations of a variety of CaM target proteins. A modified version of the IQ motif as a consensus for Ca2+‐independent binding and two related motifs for Ca2+‐dependent binding, termed 18‐14 and 1‐5‐10 based on the position of conserved hydrophobic residues, are proposed. Although considerable sequence diversity is observed among the different binding regions, these three classes of recognition motifs exist for many of the known CaM binding proteins. —Rhoads, A. R. , Friedberg, F. Sequence motifs for calmodulin recognition. FASEB J. 11, 331‐340 (1997)
The Semantics of Markup: Mapping Legacy Markup Schemas to a Common Semantics

A method for mapping linguistic descriptions in plain XML into semantically rich RDF/OWL is outlined and demonstrated. Starting with Simons's (2003) original proof of concept of this method, we extend his Semantic Interpretation Language (SIL) for creating metaschemas to carry out the mapping, employ the General Ontology for Linguistic Description (GOLD) of Farrar and Langendoen (2003) as the target semantic schema, and make use of SeRQL, an RDF-aware search engine. This data migration effort is in keeping with the vision of a Semantic Web; it is part of an effort to build a 'community of practice' around semantically rich linguistic resources.
Approximate Value Trees in Structured Dynamic Programming

We propose and examine a method of approximate dynamic programming for Markov decision processes based on structured problem representations. We assume an MDP is represented using a dynamic Bayesian network, and construct value functions using decision trees as our function representation. The size of the representation is kept within acceptable limits by pruning these value trees so that leaves represent possible ranges of values, thus approximating the value functions produced during optimization. We propose a method for detecting convergence,prove errors bounds on the resulting approximately optimal value functions and policies, and describe some preliminary experimental results.
A Nuclear Import Pathway for a Protein Involved in tRNA Maturation

A limited number of transport factors, or karyopherins, ferry particular substrates between the cytoplasm and nucleoplasm. We identified the Saccharomyces cerevisiae gene YDR395w/SXM1 as a potential karyopherin on the basis of limited sequence similarity to known karyopherins. From yeast cytosol, we isolated Sxm1p in complex with several potential import substrates. These substrates included Lhp1p, the yeast homologue of the human autoantigen La that has recently been shown to facilitate maturation of pre-tRNA, and three distinct ribosomal proteins, Rpl16p, Rpl25p, and Rpl34p. Further, we demonstrate that Lhp1p is specifically imported by Sxm1p. In the absence of Sxm1p, Lhp1p was mislocalized to the cytoplasm. Sxm1p and Lhp1p represent the karyopherin and a cognate substrate of a unique nuclear import pathway, one that operates upstream of a major pathway of pre-tRNA maturation, which itself is upstream of tRNA export in wild-type cells. In addition, through its association with ribosomal proteins, Sxm1p may have a role in coordinating ribosome biogenesis with tRNA processing.
A Common Parts-of-Speech Tagset Framework for Indian Languages

We present a universal Parts-of-Speech (POS) tagset framework covering most of the Indian languages (ILs) following the hierarchical and decomposable tagset schema. In spite of significant number of speakers, there is no workable POS tagset and tagger for most ILs, which serve as fundamental building blocks for NLP research. Existing IL POS tagsets are often designed for a specific language; the few that have been designed for multiple languages cover only shallow linguistic features ignoring linguistic richness and the idiosyncrasies. The new framework that is proposed here addresses these deficiencies in an efficient and principled manner. We follow a hierarchical schema similar to that of EAGLES and this enables the framework to be flexible enough to capture rich features of a language/ language family, even while capturing the shared linguistic structures in a methodical way. The proposed common framework further facilitates the sharing and reusability of scarce resources in these languages and ensures cross-linguistic compatibility.
Hypnosis and behavior therapy: a review.

Abstract Hypnosis is widely used as an adjunct to behavior therapy. Hypnosis can be defined both as an antecedent variable (the hypnotic context and suggestions given) and as a subject variable (the capacity to experience profound subjective changes). A factor common to hypnosis and imagination-based behavior therapies is the use of relaxation and imagination processes. Empirical studies of hypnosis and behavior therapy are reviewed. It is concluded that hypnosis as an adjunct primarily influences common therapy factors such as expectancy of success and treatment credibility. A more specific effect of hypnosis in behavior therapy still needs to be demonstrated. It is suggested that a fruitful combination of hypnosis and behavior therapy requires a therapeutic approach in which voluntary control is less prominent and suggestions for involuntary hypnotic experiences are given.
Pulsed Laser Deposition of Carbon Nanomaterials

Nanostructured graphite and few-layer graphene (FLG) have been grown on copper and silicon substrates via pulsed laser deposition (PLD). This paper provides a parametric study of different experimental parameters and how they affect the resulting film growth in an effort to develop a better understanding of the underlying growth mechanisms of carbon nanostructures. The nanostructured order of the deposited films increases as the temperature of the substrate increases. The wavelength of the laser used affects the ablation of the carbon source, with lower wavelengths causing further breakdown of the carbon species. The carbon source and deposition pressure have interdependent effects which are explored, and the different substrates used affect the quality and morphology of the films.
Spatio-temporal ultrawideband indoor propagation modelling by reduced complexity geometric optics

A simple and efficient virtual-source ray-tracing technique for the simulation of indoor wideband radio and optical propagation channels is proposed. The parametric deterministic model considers the room geometry, transceiver locations, material properties and probe signal types. It is applied to the indoor ultrawideband channel in the FCC-allocated 3.1-10.6 GHz band, and a range of novel results are presented to illustrate several possible applications. The channel small-scale fading statistics and spatial variability are examined by synthesising a densely sampled aperture. Multiple-antenna array systems are simulated to evaluate multiple-input multiple-output performance. The multipath angular characteristics are analysed from the simulated azimuth-delay profile. The simulation results closely match previous channel measurement studies and statistical models, validating the proposed technique. It is shown that specular reflection is dominant, and power convergence is achieved with three reflections in a typical indoor environment. Thus, it is demonstrated that despite its simplicity, the model yields reliable and accurate results, and can therefore be a useful tool for indoor wireless network planning and performance prediction.
Interleaving Temporal Planning and Execution in Robotics Domains

Many autonomous systems such as mobile robots, UAVs or spacecraft, have limited resource capacities and move in dynamic environments. Performing on-board mission planning and execution in such a context requires deliberative capabilities to generate plans achieving mission goals while respecting deadlines and resource constraints, as well as run-time plan adaption mechanisms during execution. In this paper we propose a framework to integrate deliberative planning, plan repair and execution control in a dynamic environment with stringent temporal constraints. It is based on lifted partial order temporal planning techniques which produce flexible plans and allow, under certain conditions discussed in the paper, plan repair interleaved with plan execution. This framework has been implemented using the IXTET planner and used to control a robotic platform.
Effect of ultrasonic vibration on the single discharge of electrochemical discharge machining

ABSTRACT Electrochemical discharge machining (ECDM) is one of the non-traditional processes which employs physical and chemical phenomena to remove the material from the non-conductive workpiece. Moreover, some technical augmentations have been added to the mentioned process to achieve a more efficient machining method. Typically, ECDM includes numerous electric discharges, but study on a single discharge, with/without application of external augmentation, leads to understanding the complicated nature of the ECDM process and the effect of technical augmentation. In this research, the ECDM process is studied in the mode of single discharge. Also, ultrasonic vibration, as a technical augmentation, is added to the process (UAECDM) and related effects are studied. For this purpose, special configuration and equipment are used to apply ultrasonic vibration and generate only single discharge. Material removal and tool wear are two important characteristics of drilling process which can be considered to determine the machining efficiency. The current signal is used to determine the current variation and discharge(s) condition. Results showed that the application of ultrasonic vibration changed the current signal pattern to increase discharge numbers in constant condition. Also, ultrasonic vibration increased the material removal up to 35%, while tool wear reduced between 3% and 14%.
Infertility treatment and marital relationships: a 1-year prospective study among successfully treated ART couples and their controls.

BACKGROUND Evidence about the effects of infertility and assisted reproduction technique (ART) on marital relationships is discrepant. Here, we examined the impact of ART on marital relationships. The roles of life stressors, infertility and treatment characteristics in predicting marital relations were also evaluated. METHODS SUBJECTS 367 couples with singleton IVF/ICSI pregnancies. CONTROLS 379 couples with spontaneous singleton pregnancies. Women and men were assessed when the child was 2 months (T2) and 12 months old (T3). They further reported stressful life events at T2 and depression in pregnancy. RESULTS No between-group differences were found in marital satisfaction and dyadic cohesion. Dyadic consensus deteriorated from T2 to T3 only among control women. Sexual affection was low among control men at T2 and stressful life events decreased it further. Depression during pregnancy predicted deteriorated marital relations only in control couples. Several unsuccessful treatment attempts were associated with good dyadic consensus and cohesion among ART women. Spontaneous abortions and multiple parity predicted poor marital satisfaction in ART women, whereas long duration of infertility and multiple parity predicted poor marital relations in ART men. CONCLUSIONS Successful ART does not constitute a risk for marital adjustment. The shared stress of infertility may even stabilize marital relationships.
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks

We consider the effect of introducing a curriculum of targets when training Boolean models on supervised Multi Label Classification (MLC) problems. In particular, we consider how to order targets in the absence of prior knowledge, and how such a curriculum may be enforced when using meta-heuristics to train discrete non-linear models. We show that hierarchical dependencies between targets can be exploited by enforcing an appropriate curriculum using hierarchical loss functions. On several multi output circuit-inference problems with known target difficulties, Feedforward Boolean Networks (FBNs) trained with such a loss function achieve significantly lower out-of-sample error, up to $10\%$ in some cases. This improvement increases as the loss places more emphasis on target order and is strongly correlated with an easy-to-hard curricula. We also demonstrate the same improvements on three real-world models and two Gene Regulatory Network (GRN) inference problems. We posit a simple a-priori method for identifying an appropriate target order and estimating the strength of target relationships in Boolean MLCs. These methods use intrinsic dimension as a proxy for target difficulty, which is estimated using optimal solutions to a combinatorial optimisation problem known as the Minimum-Feature-Set (minFS) problem. We also demonstrate that the same generalisation gains can be achieved without providing any knowledge of target difficulty.
Can you hold my hand? Physical warmth in human-robot interaction

This study investigates whether the temperature of a robot's hand can affect perceptions of the robot as a companion. Our research empirically analyzes the responses of 39 individuals randomly assigned to one of three conditions: (1) holding a warm robot hand or (2) holding a cold robot hand or (3) not holding a robot hand. The effects of this simulated `human touch' on HRI were examined in the context of viewing a horror film clip. Results suggest that experiences of physical warmth and handholding increase feelings of friendship and trust toward the robot. However, the discrepancy between the expectation of an actual human touch and the mechanical appearance of a robot could result in negative effects.
Adenovirus-Mediated Efficient Gene Transfer into Cultured Three-Dimensional Organoids

Three-dimensional organoids have been recently established from various tissue-specific progenitors (such as intestinal stem cells), induced pluripotent stem cells, or embryonic stem cells. These cultured self-sustaining stem cell–based organoids may become valuable systems to study the roles of tissue-specific stem cells in tissue genesis and disease development. It is thus conceivable that effective genetic manipulations in such organoids may allow us to reconstruct disease processes and/or develop novel therapeutics. Recombinant adenoviruses are one of the most commonly used viral vectors for in vitro and in vivo gene deliveries. In this study, we investigate if adenoviruses can be used to effectively deliver transgenes into the cultured “mini-gut” organoids derived from intestinal stem cells. Using adenoviral vectors that express fluorescent proteins, we demonstrate that adenoviruses can effectively deliver transgenes into the cultured 3-D “mini-gut” organoids. The transgene expression can last at least 10 days in the cultured organoids. As a proof-of-principle experiment, we demonstrate that adenovirus-mediated noggin expression effectively support the survival and self-renewal of mini-gut organoids, while adenovirus-mediated expression of BMP4 inhibits the self-sustainability and proliferation of the organoids. Thus, our results strongly suggest that adenovirus vectors can be explored as effective gene delivery vehicles to introduce genetic manipulations in 3-D organoids.