Miracle-dz/UniFAR-FTUs huggingface dataset:
FRAMEWORK FOR SECURE CLOUD COMPUTING

Cloud computing has changed theentire process that distributed computing used to present e.g. Grid computing, server client computing. Cloud computing describesrecent developments in many existing IT technologies and separates application and information resources from the underlying infrastructure. Cloud computing security is an important aspect of quality of service from cloud service providers. Security concerns arise as soon as one begins to run applications beyond the designated firewall and move closer towards the public domain.In violation of security in any component in the cloud can be disaster for the organization (the customer) as well as for the provider. In this paper, we propose a cloud security model and securityframework that identifies security challenges in cloud computing.
Conversational interfaces: advances and challenges

The past decade has witnessed the emergence of a new breed of human-computer interfaces that combines several human language technologies to enable humans to converse with computers using spoken dialogue for information access, creation and processing. In this paper, we introduce the nature of these conversational interfaces and describe the underlying human language technologies on which they are based. After summarizing some of the recent progress in this area around the world, we discuss development issues faced by researchers creating these kinds of systems and present some of the ongoing and unmet research challenges in this field.
[Diagnosis and surgical treatment of the carotid body tumors].

OBJECTIVE To enhance the cure rate and lower the complication rate and the mortality rate through summarizing the clinical features and experiences in diagnosis and therapy of carotid body tumor (CBT). METHOD Retrospectively analyzed the clinical data of 21 cases (23 sides) of CBT from 1995-2095 occurring in our hospital. RESULT The accurate diagnosis rates hy using digital subtraction angiography (DSA) and magnetic resonance imaging (MRI) were 100%. Seventeen cases (19 sides) accepted surgical operation with different kinds of procedures. The tumors of 8 cases were simplex isolated from the carotid artery. Both the tumour and the external carotid artery were resected in 9 cases. One case underwent resection of both the internal and external carotid artery and the tumour without carotid reconstruction. One case underwent resection of the internal, external carotid artery and the tumor with reconstruction of the internal carotid artery. No operative mortality was observed. The ventricular arrhythmia which had not been controlled pre-operation occurred in 1 case who was finally self-cured. One case had hoarseness and completely recovered in one week. and 1 case without carotid reconstruction had a frequent headache and gradually recovered in 5 months. The others had no complications. CONCLUSION OSA and MRI are the best methods for diagnosing CBT. Surgery is the first choice concerning the treatment of CBT. Accurate preoperative evaluation, correct therapeutic decision exquisite vascular surgical techniques can help to significantly decrease, even avoid the complications.
An Iterative Surface Evolution Algorithm for Multiview Stereo

We propose a new iterative surface evolution algorithm for multiview stereo. Starting from an embedding space such as the visual hull, we will first conduct robust 3D depth estimation (represented as 3D points) based on image correlation. A fast implicit distance function-based region growing method is then employed to extract an initial shape estimation based on these 3D points. Next, an explicit surface evolution will be conducted to recover the finer geometry details of the recovered shape. The recovered shape will be further improved by several iterations between depth estimation and shape reconstruction, similar to the Expectation Maximization (EM) approach. The experiments on the benchmark datasets show that our algorithm can obtain high-quality reconstruction results that are comparable with the state-of-art methods, with considerable less computational time and complexity.
Spatial interference cancelation for mobile ad hoc networks: Imperfect CSI

Spatial interference cancelation based on zero-forcing beamforming significantly improves the throughput of a mobile ad hoc network. Nevertheless, the performance of spatial interference cancelation can be degraded by imperfect channel estimation at receivers. We analyze the impact of inaccurate channel state information (CSI) on network transmission capacity by modeling transmitters as a Poisson point process and applying mathematical tools from stochastic geometry. CSI inaccuracy leads to smaller throughput and larger outage probability of each data link. Such performance loss can be controlled by choosing the length of training sequences as derived. Furthermore, increasing this length logarithmically with the inverse of the decreasing target outage probability achieves the same network-capacity scaling laws as for perfect CSI. Simulation results show that spatial interference cancelation increases transmission capacity by an order of magnitude or more despite CSI inaccuracy.
The role of seasonal flowering responses in adaptation of grasses to temperate climates

Grasses of the subfamily Pooideae, including important cereal crops and pasture grasses, are widespread in temperate zones. Seasonal regulation of developmental transitions coordinates the life cycles of Pooideae with the passing seasons so that flowering and seed production coincide with favorable conditions in spring. This review examines the molecular pathways that control the seasonal flowering responses of Pooideae and how variation in the activity of genes controlling these pathways can adapt cereals or grasses to different climates and geographical regions. The possible evolutionary origins of the seasonal flowering responses of the Pooideae are discussed and key questions for future research highlighted. These include the need to develop a better understanding of the molecular basis for seasonal flowering in perennial Pooideae and in temperate grasses outside the core Pooideae group.
Verbal Instructions Acutely Affect Drop Vertical Jump Biomechanics—Implications for Athletic Performance and Injury Risk Assessments

Abstract Khuu, S, Musalem, LL, and Beach, TAC. Verbal instructions acutely affect drop vertical jump biomechanics—Implications for athletic performance and injury risk assessments. J Strength Cond Res 29(10): 2816–2826, 2015—Biomechanical quantities acquired during the drop vertical jump (DVJ) are used in the assessment of athletic performance and injury risk. The objective was to examine the impact of different verbal instructions on spatiotemporal, kinematic, and kinetic variables commonly included in such assessments. Ten men and 10 women from local varsity and club volleyball, basketball, figure skating, and track and field teams volunteered to participate. The athletes performed DVJs after given instructions to minimize ground contact time (CT), maximize jump height (HT), and synchronously extend the lower extremity joints (EX). Between the CT, HT, and EX conditions, body segment and joint angles were compared together with characteristics of vertical ground reaction force (GRF), whole-body power output, stiffness, and center-of-mass displacement time histories. Verbal instructions were found to influence nearly all of the spatiotemporal, body segment and joint kinematic, and kinetic variables that were statistically analyzed. Particularly noteworthy was the finding that athletic performance indices (e.g., jump height, power output, vertical stiffness, and reactive strength index) and lower extremity injury risk markers (e.g., peak vertical GRF and frontal plane knee angle) were significantly different (p ⩽ 0.05) between the CT, HT, and EX conditions. The findings of this study suggest that verbal instructions should be controlled and/or clearly documented when using the DVJ to assess athletic performance potential and injury risk. Moreover, practitioners who devise performance enhancement and injury prevention strategies based on DVJ assessments are advised to consider that “coaching” or “cueing” during the task execution could impact conclusions drawn.
Vacuum Gaps in Pulsars and PSR J2144–3933

In this paper we revisit the radio pulsar death line problem within the framework of curvature radiation and/or the inverse Compton scattering-induced vacuum gap model above neutron star polar caps. Our special interest is in the recently detected pulsar PSR J2144-3933 with extremal period 8.5 s, which lies far beyond conventional death lines. We argue that the formation of vacuum gaps requires a complicated multipolar surface magnetic field, with a strength Bs typically much higher than the surface dipolar component Bd and a radii of curvature ℛ much smaller than the neutron star radius R = 106 cm. Such a multipolar surface field is also consistent with death lines including the extremal pulsar PSR J2144-3933. Since vacuum gap models produce sparks, our paper naturally supports the spark related models of subpulse drift phenomenon as well as the spark-associated models of coherent pulsar radio emission.
Design and In Vivo Test of a Batteryless and Fully Wireless Implantable Asynchronous Pacing System

Goal: The aim of this study is to develop a novel fully wireless and batteryless technology for cardiac pacing. Methods: This technology uses radio frequency (RF) energy to power the implanted electrode in the heart. An implantable electrode antenna was designed for 1.2 GHz; then, it was tested in vitro and, subsequently, integrated with the rectifier and pacing circuit to make a complete electrode. The prototype implanted electrode was tested in vivo in an ovine subject, implanting it on the epicardial surface of the left ventricle. The RF energy, however, was transmitted to the implanted electrode using a horn antenna positioned 25 cm above the thorax of the sheep. Results: It was demonstrated that a small implanted electrode can capture and harvest enough safe recommended RF energy to achieve pacing. Electrocardiogram signals were recorded during the experiments, which demonstrated asynchronous pacing achieved at three different rates. Conclusion: These results show that the proposed method has a great potential to be used for stimulating the heart and provides pacing, without requiring any leads or batteries. It hence has the advantage of potentially lasting indefinitely and may never require replacement during the life of the patient. Significance: The proposed method brings forward transformational possibilities in wireless cardiac pacing, and also in powering up the implantable devices.
Predicting a Business Star in Yelp from Its Reviews Text Alone

Yelp online reviews are invaluable source of information for users to choose where to visit or what to eat among numerous available options. But due to overwhelming number of reviews, it is almost impossible for users to go through all reviews and find the information they are looking for. To provide a business overview, one solution is to give the business a 1-5 star(s). This rating can be subjective and biased toward users personality. In this paper, we predict a business rating based on user-generated reviews texts alone. This not only provides an overview of plentiful long review texts but also cancels out subjectivity. Selecting the restaurant category from Yelp Dataset Challenge, we use a combination of three feature generation methods as well as four machine learning models to find the best prediction result. Our approach is to create bag of words from the top frequent words in all raw text reviews, or top frequent words/adjectives from results of Part-of-Speech analysis. Our results show Root Mean Square Error (RMSE) of 0.6 for the combination of Linear Regression with either of the top frequent words from raw data or top frequent adjectives after Part-of-Speech (POS).
Unconstrained Neck: Omnidirectional Observation from an Extra Robotic Neck

Humans are born with physiological limitations in terms of the sensory and motor abilities. Due to the narrow range of motion of the neck and the small visual field of the eyes, the human visual sense is limited in terms of the spatial range. We address this visual limitation by proposing a programmable neck that can leverage the range of motion limits. Unconstrained Neck, a head-mounted robotic neck, is a substitution neck system which provides a wider range of motion enabling humans to overcome the physical constraints of the neck. Using this robotic neck, it is possible to control the visual/motor gain which allows the user to thus control the range and speed of his effective neck motion or visual motion.
Spatial Awareness for Synthetic Vision Systems Displays Using Relative Position and Temporal Judgments to Assess the Effects of Texture and Field of View on

http://pro.sagepub. com/content/50/1/71 The online version of this article can be found at: DOI: 10.1177/154193120605000116 2006 50: 71 Proceedings of the Human Factors and Ergonomics Society Annual Meeting Matthew L. Bolton, Ellen J. Bass and James R. Comstock, Jr. Spatial Awareness for Synthetic Vision Systems Displays Using Relative Position and Temporal Judgments to Assess the Effects of Texture and Field of View on
Epidemiology and Susceptibility of 3,051Staphylococcus aureus Isolates from 25 University Hospitals Participating in the European SENTRY Study

ABSTRACT A total of 3,051 methicillin-susceptible Staphylococcus aureus (MSSA) isolates and methicillin-resistant S. aureus (MRSA) isolates in Europe were compared. MRSA isolates constituted 25% of all isolates and were more prevalent in southern Europe. MRSA isolates appeared to be more prevalent in intensive care units than in outpatient departments. Only a small minority of MSSA isolates were multidrug resistant, whereas the majority of MRSA isolates were multidrug resistant.
Schools Where Everyone Belongs: Practical Strategies for Reducing Bullying

For all grade levels, this second edition of Schools Where Everyone Belongs is packed with practical guidelines and proven strategies for implementing a whole-school approach for reducing bullying. The author draws on theory and research, as well as over two decades of experience as a school counselor and consultant to provide educators with his creative ideas and successful techniques. Interventions to help aggressive youth internalize rules and develop conscience are paired with methods for helping targets of bullying. Chapters cover a wide range of topics, including myths about bullying, acknowledging positive behavior, effective discipline, working with parents, relational aggression, empowering bystanders, and preventing disability harassment. New materials have been added in response to concerns of parents, educators, and students: An entire chapter on preventing harassment of students with disabilities A new set of guidelines for helping students take responsibility for their behavior A troubleshooting guide for developing and implementing school discipline systems
Full-Potential Linearized Augmented Planewave Method

c 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.
Investigation of traction motor windings' insulation capacitance at switching frequencies under accelerated thermal stress

Machines in electric vehicles are driven by switching power electronic devices and undergo variable load cycling. In transient conditions high currents and temperatures develop, forcing the electric motor and particularly the insulation materials to undergo severe multi-stress. Insulation degradation will progressively lead to short-circuits which are harmful for the traction motor, vehicle safety and reliability. This paper focuses on the thermal assessment of insulation's capacitance at switching frequencies. For this, thin-film winding insulation samples were thermally aged at different temperatures and for various periods of time. Dielectric spectroscopy was applied and the capacitance information at different frequencies was extracted. The measurements were substituted to statistical analysis under three factors namely; ageing time, temperature and frequency. It is also evaluated how appropriate it is to use capacitance measurements as a means for reliable prognostics. The statistical analysis depicts that the capacitance does not follow predictable ageing patterns, mainly because the material's dielectric properties are affected by a number of different degradation mechanisms that occur concurrently.
Antibiotic-resistant soil bacteria in transgenic plant fields

Understanding the prevalence and polymorphism of antibiotic resistance genes in soil bacteria and their potential to be transferred horizontally is required to evaluate the likelihood and ecological (and possibly clinical) consequences of the transfer of these genes from transgenic plants to soil bacteria. In this study, we combined culture-dependent and -independent approaches to study the prevalence and diversity of bla genes in soil bacteria and the potential impact that a 10-successive-year culture of the transgenic Bt176 corn, which has a blaTEM marker gene, could have had on the soil bacterial community. The bla gene encoding resistance to ampicillin belongs to the beta-lactam antibiotic family, which is widely used in medicine but is readily compromised by bacterial antibiotic resistance. Our results indicate that soil bacteria are naturally resistant to a broad spectrum of beta-lactam antibiotics, including the third cephalosporin generation, which has a slightly stronger discriminating effect on soil isolates than other cephalosporins. These high resistance levels for a wide range of antibiotics are partly due to the polymorphism of bla genes, which occur frequently among soil bacteria. The blaTEM116 gene of the transgenic corn Bt176 investigated here is among those frequently found, thus reducing any risk of introducing a new bacterial resistance trait from the transgenic material. In addition, no significant differences were observed in bacterial antibiotic-resistance levels between transgenic and nontransgenic corn fields, although the bacterial populations were different.
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships

Co-clustering on heterogeneous data has attracted more and more attention in web mining and information retrieval. The clustering approaches for two type heterogeneous data (bi-type co-clustering) have been well studied in the lit- erature. However, the work on data with more than two types (high-order co-clustering or multi-type co-clustering) is still limited. In this paper, we present a multi-type co- clustering algorithm, which clusters the data from differ- ent types simultaneously. We use a higher-order tensor to model the high-order relationships, each element of which describes the relation (similarity) among a given set com- posed by data objects from every types. Based on the high- order relationships, we embed the multi-type data objects into the low dimensional spaces by the algorithm based on Clique Expansion which can be viewed as a high-order extension of the normalized cut approach. At last, the k- means method is used to cluster the lower dimensional data. Experiment results show the effectiveness of the proposed method on both toy problem and real data.
Exploded Views for Volume Data

Exploded views are an illustration technique where an object is partitioned into several segments. These segments are displaced to reveal otherwise hidden detail. In this paper we apply the concept of exploded views to volumetric data in order to solve the general problem of occlusion. In many cases an object of interest is occluded by other structures. While transparency or cutaways can be used to reveal a focus object, these techniques remove parts of the context information. Exploded views, on the other hand, do not suffer from this drawback. Our approach employs a force-based model: the volume is divided into a part configuration controlled by a number of forces and constraints. The focus object exerts an explosion force causing the parts to arrange according to the given constraints. We show that this novel and flexible approach allows for a wide variety of explosion-based visualizations including view-dependent explosions. Furthermore, we present a high-quality GPU-based volume ray casting algorithm for exploded views which allows rendering and interaction at several frames per second
The Emerging Spatial Mind

PART I. REMEMBERING WHERE THINGS ARE 1. Using Spatial Categories to Reason About Location 2. Organism-Environment Interaction in Spatial Development: Explaining Categorical Bias in Memory for Location 3. Explaining the Development of Spatial Reorientation: Modularity-Plus-Language versus the Emergence of Adaptive Combination 4. Using Locomotion to Update Spatial Orientation: What Changes with Learning and Development? 5. Commentary: The Nature and Development of Spatial Reference Systems PART II. THINKING AND TALKING ABOUT SPATIAL RELATIONS 6. On the Infant's Prelinguistic Conception of Spatial Relations: Three Developmental Trends and Their Implications for Spatial Language Learning 7. Adapting Spatial Concepts for Different Languages: From Preverbal Event Schemas to Semantic Categories 8. The Body and Children's Word Learning 9. Developmental Changes in Children's Understanding of Maps: What, When, and How? 10. Map Use and the Development of Spatial Cognition 11. Commentary: Linking Internal Representations to the External WOrld via Spatial Relations 12. Effects of Blindness and Deafness on the Development of Spatial Perception and Cognition 13. Explaining Selective Spatial Breakdown in Williams Syndrome: Four Principles of Normal Spatial Development and Why They Matter 14. What Does Theoretical Neuroscience Have to Offer the Study of Behavioral Development? Insights from a Dynamic Field Theory of Spatial Cognition 15. Commentary: Specificity, Mechanisms, and Timing in the Study of Spatial Cognition PART IV. CONCLUSIONS 16. What Makes Thinking about Development So Hard?
Single-anchor indoor localization using a switched-beam antenna

We propose an RF-based localization system that works using a single anchor node. The anchor is equipped with a switched-beam directional antenna that is installed on the ceiling of a room and collects signal strength information sufficient for absolute 2D target positioning. Indoor measurements are used to show satisfactory localization results with range-free (proximity), range-based and fingerprinting schemes.
Modeling and Analysis of Thermoelectric Modules

The objective of this paper is to develop a SPICE- compatible equivalent circuit of a thermoelectric module. A methodology is developed for extracting the parameters of the proposed model from manufacturers' data of thermoelectric coolers (TECs) and thermoelectric generators (TEGs). The model could be helpful in analyzing the drive requirements of TECs and loading effects of TEGs. The present model is compatible with PSPICE or other electric circuit simulators. An important feature of the model is its ability to generate small-signal transfer functions that can be used to design feedback networks for temperature control applications