Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving throughput and fairness for MIMO ad hoc networks using antenna selection diversity

This paper presents a new MAC protocol, mitigating interference using multiple antennas with antenna selection (MIMA/AS-MAC), which uses multiple antennas to mitigate both interference from neighboring transmitters and fading. The proposed MIMA/AS-MAC protocol employs spatial multiplexing with antenna subset selection for data packet transmission, while using the Alamouti space-time code for control of packet transmission. To study its performance, the MIMA/AS-MAC was implemented in the ns-2 network simulator for a system with two antennas. The total network throughput and fairness between two traffic flows was measured. The results show that the MIMA/AS-MAC system outperforms the previously proposed MIMA-MAC scheme, which does not use an antenna selection scheme, as well as a hybrid of the IEEE 802.11 MAC protocol with Alamouti encoding.
The Impact of Mobile Multimedia Applications on Data Center Consolidation

The convergence of mobile computing and cloud computing enables new multimedia applications that are both resource-intensive and interaction-intensive. For these applications, end-to-end network bandwidth and latency matter greatly when cloud resources are used to augment the computational power and battery life of a mobile device. We first present quantitative evidence that this crucial design consideration to meet interactive performance criteria limits data center consolidation. We then describe an architectural solution that is a seamless extension of today's cloud computing infrastructure.
An Improved DLDA Based Method- Nonparametric DLDA

The Small Sample Size problem always arises when Linear Discriminant Analysis (LDA) is used in face recognition. Direct LDA(D-LDA) is a method to solve this problem by firstly whitening the between-class scatter Sb and then diagonalizing the within-class scatter Sw, but the discriminative information in the null space of Sw is always lost indirectly. To overcome the shortcoming of D-LDA, an improved D-LDA based method called Nonparametric D-LDA (ND-LDA) is proposed in this paper. ND-LDA introduces a new nonparametric definition for Sb, which is full rank and can capture the boundary structural information for different classes. As a result, ND-LDA can exploit the discriminative information in both the principal and the null space of Sw, and can perform well on non-Gaussian cases. The results of the experiments show the improvements of ND-LDA.
Proximity queries between convex objects: an interior point approach for implicit surfaces

In this paper, we present an interior point approach to exact distance computation between convex objects represented as intersections of implicit surfaces. The implicit surfaces considered include planes (polyhedra), quadrics, and generalizations of quadrics including superquadrics and hyperquadrics, as well as intersections of these surfaces. Exact distance computation algorithms are particularly important for applications involving objects that make contact, such as in dynamic simulations and in contact point prediction for dextrous manipulation. They can also be used in the narrow phase of hierarchical collision detection. In contrast to geometric approaches developed for polyhedral objects, we formulate the distance computation problem as a convex optimization problem; this optimization formulation has been previously described for polyhedral objects. We demonstrate that for general convex objects represented as implicit surfaces, interior point approaches are reasonably fast and in some cases, owing to their global convergence properties, are the only probably good choice for solving proximity query problems. We use an interior point algorithm that solves the KKT conditions obtained from the convex programming formulation. We present implementation results for example implicit surface objects and demonstrate that distance computation rates of about 1 kHz can be achieved
Recurrence of embolic stroke in non‐valvular atrial fibrillation (NVAF). An autopsy study

ABSTRACT From 3434 consecutive autopsied cases over 60 years of age, we performed retrospective, clinicopathological examinations on 81 patients with symptomatic embolic stroke and non‐valvular atrial fibrillation (NVAF) who had not received anticoagulant therapy during their lives. Twenty‐one had recurrent embolic strokes (recurrence rate: 25.9%). In the thrombotic infarction without NVAF, the recurrence rate was 21.4%. Recurrent strokes occurred earlier in the embolic infarction of NVAF than in the thrombotic infarction. Most of the lesions of initial embolic strokes were present in the territory of one middle cerebral artery (MCA), while many lesions of recurrent strokes were found in the territory of the contralateral MCA. Between the NVAF cases with and without recurrent embolic stroke, there was no significant difference in the background condition such as history of hypertension, duration of NVAF, severity of cerebral arterial atherosclerosis, heart weight, intracardiac thrombi, myocardial infarctions and infarctions in other systemic organs.
Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into account. A dedicated relative pose solver appears to be the first problem to solve, as it is of eminent importance to bootstrap any derivation of multi-view geometry. However, despite its significance, it has received inadequate attention to date. This paper presents a detailed investigation of the geometry of the rolling shutter relative pose problem. We introduce the rolling shutter essential matrix, and establish its link to existing models such as the push-broom cameras, summarized in a clean hierarchy of multi-perspective cameras. The generalization of well-established concepts from epipolar geometry is completed by a definition of the Sampson distance in the rolling shutter case. The work is concluded with a careful investigation of the introduced epipolar geometry for rolling shutter cameras on several dedicated benchmarks.
User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content

Statistical topic models have become a useful and ubiquitous text analysis tool for large corpora. One common application of statistical topic models is to support topic-centric navigation and exploration of document collections at the user interface by automatically grouping documents into coherent topics. For today's constantly expanding document collections, topic models need to be updated when new documents become available. Existing work on topic model update focuses on how to best fit the model to the data, and ignores an important aspect that is closely related to the end user experience: topic model stability. When the model is updated with new documents, the topics previously assigned to old documents may change, which may result in a disruption of end users' mental maps between documents and topics, thus undermining the usability of the applications. In this paper, we describe a user-directed non-disruptive topic model update system, nTMU, that balances the tradeoff between finding the model that fits the data and maintaining the stability of the model from end users' perspective. It employs a novel constrained LDA algorithm (cLDA) to incorporate pair-wise document constraints, which are converted from user feedback about topics, to achieve topic model stability. Evaluation results demonstrate advantages of our approach over previous methods.
The Classroom X-Factor: The Power of Body Language and Non-verbal Communication in Teaching

Section 1 The X-Factor and You the Teacher Chapter 1 General Introduction Chapter 2 Your X-Factor and Classroom Communication Chapter 3 The X-Factor within You. Chapter 4 The X-Factor on the Education Stage of Today's World. Chapter 5 How good are pupils at reading your X-Factor? Chapter 6 The X-Factor and Pupil Achievement Chapter 7 The X-Factor and Special Education. Section Conclusion Section 2 The X-Factor Orchestra - Getting to know the Various Instruments Chapter 8 Smiling Chapter 9 Body Language Chapter 10 Gestures Chapter 11 Vocal Expression Chapter 12 The X-Factor and 'Classroom Eyes' Chapter 13 Our Use of Space Chapter 14 Facial Expressions Chapter 15 Attractiveness: Dressing for the Classroom -Does My school bag look big in this! Chapter 16 Colour and the Classroom X-Factor Section 3 The X-Factor Instruments in a Classroom Symphony Story 1 Your X-Factor and Differentiated Learning - The Yellow Teddy Lunchbox Story 2 Spartacus The X-Factor and Expressing your Emotions Story 3 The Great Horse of Troy. Your X-Factor, Motivation, Nonverbal Drama and Immediacy Story 4 The Butterfly - Motivation Story 5 Bushfires - Experience and Reflection Section 4 Concluding Remarks Section 5 Appendix 1 - Self-Evaluation Framework References
Genetic Testing for Inherited Susceptibility to Colon Cancer , Including Microsatellite Instability Testing

The following Protocol contains medical necessity criteria that apply for this service. It is applicable to Medicare Advantage products unless separate Medicare Advantage criteria are indicated. If the criteria are not met, reimbursement will be denied and the patient cannot be billed. Preauthorization is required. * Please note that payment for covered services is subject to eligibility and the limitations noted in the patient’s contract at the time the services are rendered.
Investigation of Working Memory Across Behavioral and Executive Function Variables in Adolescents with Emotional Disturbance

Newer insights into working memory may have important implications for understanding varying cognitive abilities in adolescents and their corresponding degrees of success and efforts to accomplish real-world goals. It is important to investigate the construct of working memory in relation to academic, behavioral, and emotional success at school for students classified with an Emotionally Disturbance (ED). In the educational system, students are classified as ED, based upon IDEA regulations present within a multiplicity of these cognitive, behavioral, socioemotional, and academic difficulties. The associated cognitive deficits often involve poor working memory skills thought to be related to frontal lobe processes. Considering the seat of psychopathology to be within the frontal-subcortical circuitry, one can assume that cognitive processes such as working memory may be relationally involved with certain behavioral phenotypes. This is especially true when accounting for executive deficits often observed in students with ED. This study purports that a relationship may exist between working memory processing, executive dysfunction, and behavioral difficulties in students with ED. Utilizing the WISC-IV Working Memory Index (WMI) as a measure of working memory processing, the BASC-2 to determine behavioral typology, and the BRIEF to determine deficits of executive functioning, this study revealed no relationships between varying levels of working memory processing, executive deficits, or distinct behavioral phenotypes in this sample of students with ED. Although these results are in direct opposition to studies demonstrating relationships amongst these variables, the results must be viewed in lieu of several limitations in the study. Future research could benefit from investigation of cognitive, behavioral, and executive function variables in students with ED as they are often considered a homogeneous group.
An efficient power estimation methodology for complex RISC processor-based platforms

In this contribution, we propose an efficient power estimation methodology for complex RISC processor-based platforms. In this methodology, the Functional Level Power Analysis (FLPA) is used to set up generic power models for the different parts of the system. Then, a simulation framework based on virtual platform is developed to evaluate accurately the activities used in the related power models. The combination of the two parts above leads to a heterogeneous power estimation that gives a better trade-off between accuracy and speed. The usefulness and effectiveness of our proposed methodology is validated through ARM9 and ARM CortexA8 processor designed respectively around the OMAP5912 and OMAP3530 boards. This efficiency and the accuracy of our proposed methodology is evaluated by using a variety of basic programs to complete media benchmarks. Estimated power values are compared to real board measurements for the both ARM940T and ARM CortexA8 architectures. Our obtained power estimation results provide less than 3% of error for ARM940T processor, 3.5% for ARM CortexA8 processor-based system and 1x faster compared to the state-of-the-art power estimation tools.
Low-sidelobe conformal antenna array based on substrate integrated waveguide technology

A millimeter-wave low-sidelobe substrate integrated conformal array antenna is demonstrated in this paper. This array mounted on a cylindrical surface with a radius of 20 mm, i.e. 2. 3λ, is synthesized at the center frequency of 35 GHz. All components, including a 1-to-4 divider, a phase compensated network and a 4×8 slot array antenna are fabricated in a single dielectric substrate together. In simulation, it has a -30 dB side-lobe level (SLL) beam in H-plane and a-25 dB SLL in E-plane at 35 GHz. The cross-polar is lower than -40 dB at the beam direction. This type of antenna is a good choice in the development of millimeter-wave conformal applications.
A warm watchful eye: parental emotional support and monitoring in multisystem therapy for youth with diabetes

A WARM WATCHFUL EYE: PARENTAL EMOTIONAL SUPPORT AND MONITORING IN MULTISYSTEM THERAPY FOR YOUTH WITH DIABETES by DANA MAY AUGUST 2012 Advisor: Dr. Annmarie Cano Major: Clinical Psychology Degree: Master of Arts The purpose of this study was to examine the extent to which changes in parenting behaviors, in particular monitoring diabetes care completion and providing emotional support to the youth, improve health care status within participants in a Multisystemic psychotherapeutic intervention (MST). RM-ANOVAs were used to determine the relationship of parental involvement in the treatment and telephone support group over time. Change score correlations were used to examine changes in parental involvement relationship to changes in diabetes care behaviors. All participants in the study increased in parental monitoring over time, with no differences between the MST group and the telephone support group. Changes in types of parental monitoring were related to changes in adherence. Emotional support showed no change and was not related to diabetes outcomes. This research suggests parental involvement alone does not change diabetes behaviors but may be an important contributor and should be studied further to understand how to assist youth with diabetes.
Prophylactic and curative effect of rosemary leaves extract in a bleomycin model of pulmonary fibrosis

Abstract Context: Pulmonary fibrosis is a devastating disease without effective treatment. Rosemary is appreciated since ancient times for its medicinal properties, while biomolecules originated from the plant have an antioxidant and antifibrotic effect. Objective: The effects of Rosmarinus officinalis L. (Lamiaceae) leaves extract (RO) on bleomycin-induced lung fibrosis were investigated. Materials and methods: Male Wistar rats were given a single dose of bleomycin (BLM, 4 mg/kg, intratracheal), while RO (75 mg/kg, intraperitoneal) was administered 3 days later and continued for 4 weeks (BLM/RO1-curative group). Alternatively, RO was administered 2 weeks before BLM and continued 15 days thereafter (BLM/RO2-prophylactic group). Antioxidant activities of RO and lung tissues were studied by standard methods. Histological staining revealed lung architecture and collagen deposition. RO was characterized for its polyphenol content and by high-performance liquid chromatography. Results: RO polyphenol content was 60.52 mg/g of dry weight, carnosic and rosmarinic acids being major components (6.886 and 2.351 mg/g). Antioxidant effect of RO (DPPH and FRAP assay) expressed as IC50 values were 2.23 μg/mL and 0.074 μg/mL, respectively. In BLM/RO1 and BLM/RO2 lung architecture was less compromised compared to BLM, which was reflected in lower fibrosis score (2.33 ± 0.33 and 1.8 ± 0.32 vs 3.7 ± 0.3). Malondialdehyde levels were attenuated (141% and 108% vs 258% of normal value). Catalase and glutathione-S-transferase activities were normalized (103% and 117% vs 59%, 85% and 69% vs 23%, respectively). Discussion and conclusion: RO has a protective effect against BLM-induced oxidative stress and lung fibrosis due to its phenolic compounds.
Hydrocortisone stimulates neurite outgrowth from mouse retinal explants by modulating macroglial activity.

PURPOSE There is mounting evidence that retinal ganglion cells (RGCs) require a complex milieu of trophic factors to enhance cell survival and axon regeneration after optic nerve injury. The authors' goal was to examine the contribution of components of a combination of hormones, growth factors, steroids, and small molecules to creating a regenerative environment and to determine if any of these components modulated macroglial behavior to aid in regeneration. METHODS Postnatal day 7 mouse retinal explants embedded in collagen were used as an in vitro model of neurite regeneration. Explants were treated with the culture supplements fetal bovine serum, N2, and G5 and a mixture of G5 and N2 components, designated enhanced N2 (EN2). Explants were evaluated for neurite outgrowth over 7 days in culture. The effects of each treatment were also evaluated on cultured RGCs purified by Thy1 immunopanning. Immunohistochemistry and qPCR analysis were used to evaluate differences in gene expression in the explants due to different treatments. RESULTS EN2 stimulated significant neurite outgrowth from explants but not from purified RGCs. Elimination of hydrocortisone (HC) from EN2 reduced the mean neurites per explant by 37%. EN2-treated explants demonstrated increased expression of Gfap, Glul, Glt1, Cntf, Pedf, and VegfA compared with explants treated with EN2 without HC. Subsequent experiments showed that increased expression of Cntf and Glul was critical to the trophic effect of HC. CONCLUSIONS These data suggest that the HC in EN2 indirectly contributed to neurite outgrowth by activating macroglia to produce neurotrophic and neuroprotective molecules.
MODA: an efficient algorithm for network motif discovery in biological networks.

In recent years, interest has been growing in the study of complex networks. Since Erdös and Rényi (1960) proposed their random graph model about 50 years ago, many researchers have investigated and shaped this field. Many indicators have been proposed to assess the global features of networks. Recently, an active research area has developed in studying local features named motifs as the building blocks of networks. Unfortunately, network motif discovery is a computationally hard problem and finding rather large motifs (larger than 8 nodes) by means of current algorithms is impractical as it demands too much computational effort. In this paper, we present a new algorithm (MODA) that incorporates techniques such as a pattern growth approach for extracting larger motifs efficiently. We have tested our algorithm and found it able to identify larger motifs with more than 8 nodes more efficiently than most of the current state-of-the-art motif discovery algorithms. While most of the algorithms rely on induced subgraphs as motifs of the networks, MODA is able to extract both induced and non-induced subgraphs simultaneously. The MODA source code is freely available at: http://LBB.ut. ac.ir/Download/LBBsoft/MODA/
Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking

Recently, fusion of low- and high-dimensional approaches shows its success in the generic human motion tracking. However, how to choose the trackers adaptively according to the motion types is still a challenging problem. This paper presents a trackers sampling approach for generic human motion tracking using both low- and high-dimensional trackers. Gaussian Process Dynamical Model(GPDM) is trained to learn the motion model of low-dimensional tracker, and it performs better on specific motion types. Annealed Particle Filtering(APF) shows its advantage in the tracking without limitation on motion types. We combine both of the two methods and automatically sample trackers according to the motion types that it is tracking on. To improve performance, trackers communication is adopt to keep the better state of trackers. The approach facilitates tracking of generic motions with low particle numbers.
It-Enabled Management Control Systems Transformations: Lessons Learned From Savecom

Abstract Information technology (IT)-enabled organizational transformations are emphasized in a great deal of research. However, IT-enabled management control systems (MCS) transformations to facility management for steering an organization toward its strategic objectives have become relevant and important, yet underexplored. To address this gap, the present study illustrates how a business intelligence (BI) system enables the transformations of organizational MCS. Through an in-depth case study of a Taiwanese telecommunications company, the IT features, and their direct effects and induced effects to MCS are analyzed in terms of an organization’s belief systems, boundary systems, diagnostic control systems, and interactive control systems. The implications for the organizational MCS design of these effects are discussed.
Non-iteration Parallel Algorithm for Frequent Pattern Discovery

For the high time overhead problems of Apriori algorithm while solving for the long length frequent patterns, using the MapReduce distributed programming ideas, the paper breaks the original idea of Aproiri which discovers the frequent item sets through gradually increasing the element numbers in the frequent item sets. It proposes a new non-iteration parallel algorithm about frequent pattern discovery, which can get arbitrary length frequent pattern at random. The experimental results show that the proposed algorithm has better time performance than such parallel algorithms which are under the ideas of traditional Apriori algorithm.
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features

Soft biometric information such as gender can contribute to many applications like as identification and security. This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors. It uses the same pipeline for iris recognition systems consisting of iris segmentation, normalisation and then classification. Experiments show that applying BSIF is not straightforward since it can create artificial textures causing misclassification. In order to overcome this limitation, a new set of filters was trained from eye images and different sized filters with padding bands were tested on a subject-disjoint database. A Modified-BSIF (MBSIF) method was implemented. The latter achieved better gender classification results (94.6% and 91.33% for the left and right eye respectively). These results are competitive with the state of the art in gender classification. In an additional contribution, a novel gender labelled database was created and it will be available upon request.
Microautophagy of the Nucleus Coincides with a Vacuolar Diffusion Barrier at Nuclear–Vacuolar Junctions

Nuclear-vacuolar (NV) junctions are organelle contact sites in yeast. They exclude nuclear pores from the organelle interface. On the vacuolar side, a lipid-dependent process excludes specific membrane proteins, such as V-ATPase, from the contact site. This suggests that NV junctions establish selective diffusion barriers.