Miracle-dz/UniFAR-FTUs huggingface dataset:
A multi-layered architecture and protocols for large-scale wireless sensor networks

This paper studies the design of large-scale wireless sensor networks interconnecting several hundred sensor nodes. Given the low computation and battery power capacities of sensor nodes, the key design factors are scalability, energy efficiency and protocol simplicity. In this paper, we present a multi-level, multi-hop sensor network architecture for a network consisting of a few hundred nodes that communicate sensor data to a base-station. We present a unified framework that encompasses network organization, medium access control (MAC) and routing protocols. The MAC protocol, based on TDMA access, is designed to be collision-free, energy-efficient and fair. The routing protocol is multi-hop and uses a simple layered (tree-based) scheme. This reduces the number of control packets that need to be transmitted and hence reduces energy and computation costs. The performance of the network, in terms of delay, throughput, energy consumption and network lifetimes, is also studied in detail using discrete-event simulation.
Inverse Problems and Uncertainty Quantification

Quantifying uncertainty in the solution of inverse problems is an exciting area of research in the mathematical sciences, one that raises significant challenges at the interfaces between analysis, computation, probability, and statistics. The reach in terms of applicability is enormous, with diverse problems arising in the physical, biological, and social sciences, such as weather prediction, epidemiology, and traffic flow. Loosely speaking, inverse problems confront mathematical models with data so that we can deduce the inputs needed to run the models; knowledge of these inputs can then be used to make predictions, and even to devise control strategies based on the predictions. Both the models and the data are typically uncertain, as are the resulting deductions and predictions; as a consequence, any decisions or control strategies based on the predictions will be greatly improved if the uncertainty is made quantitative.
Subspace based channel estimation in MIMO-OFDM systems [mobile radio applications]

A blind channel identification problem, based on exploiting the presence of a virtual carrier, is investigated for MIMO-OFDM systems. Sufficient identifiability conditions are established for the MIMO-OFDM channel to be identifiable up to a unitary matrix. And the subspace blind channel identification method is proposed. The method is attractive for its potential to increase the system's channel utilization due to the elimination of the cyclic prefix. Computer simulation results are finally provided to illustrate the effectiveness of the proposed blind channel identification method.
Influence du compromis entre exploitation de la diversité et gain de codage dans les systèmes OFDM multi-entrées multi-sorties

We investigate the exploitation of diversity in a MIMO-OFDM channel through the use of a linear precoder. For such systems, performance depends on both the coding gain and the diversity gain. Through the use of a channel with artificially controlled frequency diversity, we verify that exploiting diversity improves performance until all the channel diversity is exploited, and reaches a saturation then. We show that trying to exploit more diversity than that actually available does not hurt performance, in the ideal interference-free detection case as well as with a suboptimal detector. We show that the coding gain advantage of small precoding matrices at low SNRs vanishes when the Bit Error Rate metric is considered instead of the Symbol Error Rate.
Ajaran Tasawuf dalam Naskah Makamat

This paper concerns on the mysticism teaching in the manuscript entitled Makamat. The objective of this study is to describe the physical condition of the manuscript and to analyze the content of the texts in the manuscripts. To examine these contents, it uses meaning analysis. Meanwhile, to describe the physical condition of the manuscript, it employs codicology. Finding of this research shows that generally the manuscript is in a good condition and readable. It consists of four texts, and the first text was chosen as the focus of this study. It reveals that there are philosophical explanations on the basic knowledge of fiqh including wudlu, thaharah and shalat (prayer). These elements of the fiqh contain several deep meaning related to the mysticism. Keywords: Makamat, tasawuf, fiqh, manuscript .
Functional Outcome of Intervertebral Disc Prolapse Treated with Epidural Steroid and Local Anaesthetic – Prospective Study

INTRODUCTION Disc prolapse amounts for 5% of lower back disorders. Intervertebral disc prolapse can be treated conservatively or surgically. The intervertebral disc is subject to continuous and progressive degenerative changes throughout life, L3,L4,L5 showing greatest degree of degeneration. Clinical features can be discussed under three headings: Low backache: Back pain is common in the second decade, disc disease and disc herniation in the third or fourth decade. Radiculopathy: This refers to pain in the distribution of the sciatic nerve and is invariably due to disc herniation. This is called as sciatica. Nerve root compression: About 95 percent of the disc prolapse takes place through the L4-5 region compressing the L5 nerve root. The other nerve roots commonly involved are L4 and S1 due to disc prolapse between L3-4 and L5S1 respectively. The conservative methods include (1) bed rest (2) anti-inflammatory drugs (3) various forms of physiotherapy (4) manipulation and exercise training (5) corsets (6) epidural nerve
Feasibility of percutaneous coronary angioplasty via transulnar artery approach in selective patients with coronary heart disease

Objective To probe the clinic feasibility of percutaneous coronary intervention(PCI) via transulnar artery approach (PCI-TRU). Method Forty patients with unstable ischemic manifestation(male 34,female 6;age 59.3±9.10 years)whose radial artery of right hand was difficulty for transradial artery PCI,while whose ulnar artery was larger in diameter as compared with that of whose radial artery (3.30±0.22mm vs 2.43±0.33mm,ratio=1.35∶1.00, P 0.05) by the investigation of vessel echography as well as the dual sides Allen′s test for radial and ulnar artery was positive, were selected as the subjects for PCI-TRU. The time of manipulative duration for each procedure of PCI-TRU was recorded. The time of Allen′s test, lumen diameter (mm), cross area of vessel lumen (mm 2), blood velocity (Vs max), blood flow resistance index(RI) in ulnar and radial artery were measured and recorded, respectively, as well were compared quantitatively before and after PCI procedure . Results Forty- eight lesion segments of 42 vessels in all patients were angioplasticized successfully via TRU by 6F guiding catheter. Forty-eight stents were implanted including 2 re-stenting cases of intra-stent restenosis with cutting balloon technique. The average time of manipulative duration of guiding catheters engaging in osculum of target coronary, and under X ray fluoroscopy were 4.30±0.59 min and 25.9±0.49 min, respectively, and the total time of the whole procedure was 56.6±14.8 min. When the introducer was taken off, the access site in ulnar artery was compressed by a tourniquet with maintaining heparin infusion immediately after procedure but it was unnecessary to limit the ambulance. The average hospital stay was 5.21±0.43 days. No significant change was found in the parameters of the vessel diameter,blood velocity, cross area of vessel lumen, blood flow resistance index and the level of blood oxygen in finger and no complications such as occlusion of ulnar artery,abnormal sensitivity and movement disability were found in right hands in all patients during 1 month of following up after PCI procedure. Conclusion The ulnar artery might be selected as one approach of antebrachial artery for PCI in patients with coronary heart disease whose radial artery was difficulty as access vessels of PCI, while the dual sides Allen′s test for radial and ulnar artery were positive and the lumen diameter of ulnar artery was larger than that of radial artery.
Novel approaches for the measurement of tumoral pO2 by magnetic resonance methods

Tesis doctoral inedita realizada en el Instituto de Investigaciones Biomedicas "Alberto Sols" y leida en la Universidad Autonoma de Madrid, Facultad de Medicina, Departamento de Bioquimica. Fecha de lectura: 13 de Diciembre de 2013.
Percibir la presencia de los dioses. La danza de posesión en un culto afro-brasileño

The main approaches in Candomble possession helped to look away from the first anthropologists dance of possession as such: sometimes reduced to the expression of mental disorders, their supposed function or mythological dimension. By adopting a more focused on the performance of the possessed dance, this article seeks to capture the mechanism of the “put-in-presence” of the divine. It is argued that the presence of the gods is the result, always temporary, of a “virtuous circle” between the polarities imaginative, kinesthetic, and emotional performance. Then we propose an analysis of the technics body mobilized in dance for a particular orixa, from various theoretical proposals. To close, we outline a perceptual theory of dance of possession, taken as one form of social perception “derived”, centred on a use “extra-ordinary” of body and emotions.
A TWO UNIT PARALLEL LOAD SHARING SYSTEM WITH ADMINISTRATIVE DELAY IN REPAIR

The paper deals with the stochastic analysis of a two non-identical unit parallel system model assuming that an administrative delay occurs in getting the repairman available with the system whenever needed. Upon failure of a unit, the other operating unit shares the load of previous one. The failure time distributions of the units are assumed to be exponential whereas the repair time distributions of the failed units and administrative delay time distribution are taken general having different c.d. f. ’s. By using regenerative point technique, various performance measures of system effectiveness have been obtained.
Adaptive Shared Autonomy between Human and Robot to Assist Mobile Robot Teleoperation

Mobile robot teleoperation has been widely employed when it is impractical or infeasible for humans to be present, yet still requires human judgment and decision-making skills. However, it is frustrating and stressful for human beings to merely simply teleoperate a robot without assistance due to time delay and absence of Situational Awareness (SA). On the other hand, fully autonomous robots, despite recent achievements, cannot yet execute tasks alone based on the current perception and control models. Consequently, both the human and the robot have to remain in the control loop, simultaneously contributing intelligence to the task executions, i.e. the human has to share autonomy with the robot during operation. But the challenge is how to best coordinate the two sources of intelligence from the human and the robot, to guarantee a safe and efficient task execution in remote. Therefore, a novel strategy is proposed in this thesis. It models the user intention as a contextual task to complete an action primitive, and provides appropriate motion assistance to the human operator upon the task recognition. In this way, the robot copes intelligently with the on-going tasks based on the contextual information, relieves the workload of the human operator and improves the task performance. To implement this strategy and account for the uncertainties in acquiring and processing environment information and user input, i.e. the contextual information, a probabilistic shared autonomy framework is presented to infer the contextual task the human operator performs with uncertainty measurements, and appropriately assist the human operator with the task execution according to these measurements. Since the way the human operator performs a task is implicit, it is non-trivial to model the motion pattern of the task process manually, thus a set of data-driven approaches are adopted to derive the policies of various task executions from human demonstrations, to adapt to the needs of the human operator in an intuitive way over long time. The feasibility and scalability of the proposed framework and techniques have been extensively evaluated in a variety of experiments both in simulation and on real mobile robot. With the proposed approaches, the teleoperator can be actively and appropriately assisted by increasing the cognition capability and the autonomy flexibility of the robot.
Technological issues in compressive sensing

Compressive sensing (aka compressive sampling or CS) is a new technology field that is characterized by the possibility to sample radiometric and spectroscopic signals at a lower rate without losing significant source / target information. This option is made possible by a specific signal feature that is called sparsity. A sparse signal does not convey the whole information predicted by the traditional sampling theory, irrespective of the maximum frequency contained in its spectrum. The sparse mathematical representation admitted by the signal can be made accessible to an instrument throughout a dedicated integral transformation that would be performed by a specific optical subsystem. This technology belongs to the signal compression domain, and its main advantage is that compression takes place before signal registration, and during the sampling phase. Due to this feature, compressive sensing promises outstanding savings in terms of the ADC specs, required memory for temporary data storage, bandwidth necessary for down-link, and electrical power consumption. The above lesser requirements would originate supplementary reduction of the mass, volume, and cost budgets. The possible impact of these expectations on future space missions could be remarkable, motivating new investigations and research programs concerning this technology. In the paper we review the architecture and possible implementations of CS. The CS application to instruments devoted to Earth observation, and measurement of planetary surfaces will be discussed. The remotely sensed data will be assumed to be constituted by sampled images collected by a passive device in the optical spectral range from the visible up to the thermal infrared, with possible spectral discrimination ability, e.g. hyperspectral imaging. We will examine the main bottlenecks affecting the utilization of CS for Earth observation, and describe a forthcoming ESA ITI-B Project focusing on these topics. We show that a practical implementation of CS demands for optical light modulators and 2dim detector arrays of high frame rate. We will further show that CS necessarily employs a signal multiplexing architecture, which in spite of traditional expectations does not reach the projected SNR advantage.
A Theoretical Analysis of Tree Edit Distance Measures

The notion of the tree edit distance provides a unifying framework for measuring distance and finding approximate common patterns between two trees. A diversity of tree edit distance measures have been proposed to deal with tree related problems, such as minor containment, maximum common subtree isomorphism, maximum common embedded subtree, and alignment of trees. These classes of problems are characterized by the conditions of the tree mappings, which specify how to associate the nodes in one tree with the nodes in the other. In this paper, we study the declarative semantics of edit distance measures based on the tree mapping. In prior work, the edit distance measures have been not well-formalized. So the relationship among various algorithms based on the tree edit distance has hardly been studied. Our framework enables us to study the relationship. By using our framework, we reveal the declarative semantics of the alignment of trees, which has remained unknown in prior work.
PERCEPTION OF 2ND YEAR MBBS STUDENTS TOWARDS STUDENT-LED SEMINAR AS SMALL GROUP TEACHING METHOD

Objectives: To introduce interactive teaching method like interactive student-led seminars and to know perception of students towards this method of teaching. Methods: The present batch of 4th semester undergraduate students (160 numbers) was divided into 4 batches of 40 students each after taking written consent from them. They were given the topics for the seminar 1 month prior for preparation. Seminar was conducted in four practical hours. Feedback forms were evaluated by 5-Likert’s Scale. Results: Out of 160 students, 139 students participated in the seminar. Out of 139 students participated, 111 students (79.86%) agreed that it stimulated them to think critically at the subject, 130 students (93.53%) agreed that it assisted their learning and 110 students (79.14%) agreed that it encouraged their participation and made them feel like team members. Conclusions: Student-Led Seminar as small group teaching method is more effective in deep understanding of the subject and critical thinking than didactic lectures and helps the students to improve the communication skills.
POSITION OF PRIMARY SCHOOLS IN PROVIDING HEALTH EDUCATION AND PROMOTION OF HEALTH LITERACY

This research aims to find out the condition of public primary schools in Manavgat, Antalya in terms of social health care and the learning needs of parents about this issue. The universe of this research that is in screen model comprisespublic primary schools in Manavgat. In data analysis, frequency, percentage and chi square techniqueswere used. The majority of parents who did not take any education about the health education which affect student success are willing to take an education like that. Nearly half of these parents prefer to takethis education at the weekends in the daytime and one third of them prefer this education on weekdays in the daytime. Key words: Health Education, Health Literacy, Student Success, Parent Education
Augmented Reality Robot Operation Interface with Google Tango

In this paper we present a novel smart-device-based robot operation interface providing augmented reality (AR) and utilizing a device equipped with self-tracking functionality and a depth camera according to Google Tango reference design. The robot can be both programmed remotely by our Java application and taught by kinesthetic programming. The system also provides an object detection that is capable of recognizing objects. Additionally we designed and investigated an adaptive program execution. The ease of use is ensured by AR features such as the highlighting of detected objects and the preview of robot operations. The main contribution is a robot operation interface that can be multifariously programmed and is capable of adapting to changing surroundings based on commercially available devices.
Creating Narratives Through Art as Self-Definition for Black Women

The purpose of this study is to examine ways in which Black female ar/sts have created narra/ves through art as self-­‐defini/on. These ar/sts have responded to stereotypical stories and images of Black women by crea/ng self-­‐defined stories and images. This study specifically focuses on Faith Ringgold because she has combined narra/ve and visual art in story quilts that present Black women as empowered, mul/dimensional people. The concept of crea/ng narra/ves through art as self-­‐defini/on for Black women was further inves/gated through narra/ve inquiry and arts-­‐based research. Methods My methods for this study are based on both narra/ve inquiry and arts-­‐based research. • Narra/ve Inquiry – “a way of understanding experience.the stories of the experiences that make up people’s lives.stories lived and told. ” (Clandinin, 2000, p. 20) • Specific methods will go here • . • . • Arts-­‐based research – “the systema/c use of the ar/s/c process, the actual making of ar/s/c expressions in all of the different forms of the arts, as a primary way of understanding and examining experience” (McNiff, 2007, p. 29) • Specific methods will go here • . • .
EXTRACTION OF TEXTURE FEATURES BY USING GABOR FILTER IN WHEAT CROP DISEASE DETECTION

Like country India, there are so many people depending upon agriculture. In this area, many farmers don’t know about new diseases which are impacting on their farm. As the disease changes, the disease control policy also changes. So many farmers have very sharp observation on crop diseases, but whenever there is new diseases fall on crops then problems occur. Climate also changes instantly many of times, because of such reasons farmers unable to understand various diseases. If farmer unable to predict that diseases quickly then it will affect life of crops. Indirectly it gets affects on total productivity of farm. As we are well known about that world facing lot of problems due rapid growth in population. So our goal is to increase agricultural productivity using image processing technology which can help farmer in great extent [7]. In this research work, we are trying that crop disease using Artificial neural network (ANN) which work very effectively. First of all, we have provided an digital image which is taken by digital camera. That image given to Gaussian filter firstly then transferred to adaptive median filter to filter out noise present inside image. Gaussian filter removes Gaussian noise which is present inside image. Adaptive noise filter removes impulsive noise which is present inside image. Also it will reduce distortions which are present inside images. Then image transferred to segmentation part. In image segmentation we have choose CIELAB color space method to extract color components properly. For segmentation we have used Gabor filter. After this we distinguish crop diseases on the basis of texture features which are extracted by Gabor filter [6].
The hemodynamic responses and adequacy of infusion volume in acute hypervolemic hemodilution assessed with transesophageal Doppler apparatus

Background: Acute hypervolemic hemodilution (AHH), an alternative of acute normovolemic hemodilution (ANH) is simpler, less expensive and less time-consuming than ANH. We examined hemodynamic responses and adequacy of 15 ml/kg infusion volume with transesophageal Doppler apparatus. Methods: We induced AHH in 26 patients undergoing major abdominal surgery by fluid administration with volume of 15 ml/kg. During AHH, we observed hemodynamic parameters of cardiac index (CI), stroke index (SI), left ventricular ejection time corrected (LVETc), acceleration (Acc), peak velocity (PV), total systemic vascular resistance (TSVR) by transesophageal Doppler device and measured central venous pressure (CVP) via subclavian catheter every 2 minutes (H0, H2, H4, H6, H8, H10). Results: After AHH, hemoglobin and arterial oxygen content value were decreased about 14% and tolerable. During AHH, CVP and SI increased first from H2. CI and LVETc, representing blood flow like SI increased from H4. TSVR decreased from H4, but Acc and PV representing cardiac contractility did not change through the AHH. Through AHH by infusion volume of 15 ml/kg, hemodynamic changes were tolerable. Conclusions: AHH increased aortic blood flow, decreased afterload, but did not affect cardiac contractility at all. The volume of 15 ml/kg for AHH is acceptable in clinical situation. (Anesth Pain Med 2011; 6: 50 ∼ 53)