Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Intelligence Artificial Intelligence Artificial Intelligence Artificial Intelligence:Simulated Embodied Agents :Simulated Embodied Agents :Simulated Embodied Agents :Simulated Embodied Agents

Probably everybody has heard of Artificial Intelligence (AI for short), but relatively few people have a really good idea of what the term really means. My purpose here is to introduce a few of the basic ideas behind AI, and to try and offer a means by which people can come to grips with the current state of the art in the field. Roughly speaking, Artificial Intelligence is the study of man-made computational devices and systems which can be made to act in a manner which we would be inclined to call intelligent. The birth of the field can be traced back to the early 1950s. The fundamental strategy which lay behind all these successes led to the proposal of what is known as the Physical Symbol Systems Hypothesis, by Newell and Simon in 1976. The Physical Symbol System Hypothesis amounts to a distillation of the theory which lay behind much of the work which had gone on up until that date and was proposed as a general scientific hypothesis. Newell and Simon (1976: p. 41) wrote; "A physical symbol system has the necessary and sufficient means for general intelligent action. " Although there has been a great deal of controversy about exactly how this hypothesis should be interpreted, there are two important conclusions which have been drawn from it. The first conclusion is that computers are physical symbol systems, in the relevant sense, and thus there are grounds (should the hypothesis be correct) to believe that they should be able to exhibit intelligence. The second conclusion is that, as we humans also are intelligent, we too must be physical symbol systems and thus are in a significant sense, similar to computers.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Mobile social networks (MSNs) are the networks of people with similar interests connected to every alternative through their mobile devices. Recently, MSNs are proliferating quick supported by rising wireless technologies that permit achieving a lot of economical communication and higher networking performance across the key parameters, like lower delay, higher rate, and higher coverage. At a similar time, most of the MSN users don't absolutely acknowledge the importance of security on their hand-held mobile devices. Owing to this reality, multiple attacks aimed toward capturing personal info and sensitive user information become a growing concern, oil-fired by the avalanche of latest MSN applications and services. Therefore, the goal of this work is to know whether or not the up to date user instrumentality is prone to compromising its sensitive info to the attackers. As associate degree example, numerous info security algorithms enforced in trendy smart phones are therefore tested to try the extraction of the same personal information supported the traces registered with cheap up to date audio cards. Our obtained results indicate that the oftenest, that constitutes the strongest limitation of the off-the-rack side-channel attack instrumentality, solely delivers low-informative traces. However, the success probabilities to recover sensitive information keep on a mobile device could increase considerably once utilizing a lot of economical analytical techniques additionally as using a lot of complicated attack instrumentality. Finally, we elaborate on the possible utilization of neural networks to boost the corresponding encrypted data extraction process, while the latter part of this paper outlines solutions and practical recommendations to protect from malicious side-channel attacks and keep the personal user information protected.
International Journal of Pure and Applied Sciences and Technology Optical and Physical Properties of Ge 22 Se 78-x in X Glass System

In this paper we reported theoretical results from measurement of Ge 22 Se 78-X In x (x= 2, 4, 6, 8, 10) Glass system. The relationship between ∆E g and chemical composition has been discussed in terms of the H s and Z. In order to correlate the optical parameter (∆Eg) with film composition we used the energetic parameter (A). It has been found that lone-pair electrons (L) and deviation of stoichiometry R decreases whereas, N con ,Heat of atomization (Hs), optical gap(∆E g) and the energetic parameter (A) increases with increasing In content in this Ge-Se-In glass system.
Remote Monitoring and Sorting System for Waste Material Management Using RFID

Plastics and electronic materials are widely used non-biodegradable materials which have to be recycled economically and efficiently. For efficient recycling of plastics and electronic different types of polymer and electronic materials have to be identified and segregated. Economic aspects mandate that the plastic be identified and sorted instantaneously. In this work the radio frequency identification (RFID) has been used for the instantaneous and on-line identification of consumer plastics and electronic wastes. This system enables identification of the waste material. To realize the above, a low cost embedded system, capable of automating the process of plastic and E-waste sorting method has been developed. Further, a wireless interface, capable of controlling the RFID reader remotely has been implemented to safeguard personnel from the unhygienic environments prevalent in plastic recycling plants. Though many methods are available for sorting the plastic and electronic waste materials they are very costly and expensive. Here the system is implemented by using the RFID tags which are low expensive can store vital information about the waste material. The quantity of plastic and electronic waste material found is transferred to the remote monitoring personal computer by using wireless zigbee interface.
Comparison of IFAT, rk39 and PCR for diagnosis of kala-azar in Iraqi children

A comparative study was carried out through IFAT, rk39 and PCR diagnostic methods for detection of pediatric visceral leishmaniasis (Kala-azar) in Baghdad hospitals during the period from July 2013 to September 2014. Blood samples from 178 suspected VL patients were examined by IFAT, rk39 and PCR. Results of polymerase chain reaction which depending on highly repetitive sequence regions, reported that only 39 (21.9%) of samples were positive to visceral leishmaniasis and 139 (79.1%) were negative. So that these results were considered as standard test for IFAT and rk39 test, for that the validity of IFAT according to PCR technique detected the sensitivity of IFAT was (100%) and specificity (82%) with accuracy (89%). While the validity of rK39 test according to PCR technique, it was found that the sensitivity of rK39 (97.4%) and specificity (85.2%) with accuracy (90%). The study concludes that these diagnostic methods had an excellent ability of discrimination in diagnosis of VL cases.
Breakthrough and episodic pain in cancer patients – a new look

Breakthrough pain in cancer patients (BTCP) called episodic or incident pain appears in significant percentage of patients (40–60%). BTCP is characterised by quick intensifying (within seconds or minutes), significant intensity (NRS over 5) and limited time (most frequently up to 30 minutes). Clinically 2 types of BTCP were found: spontaneous (idiopathic) diagnosed when the cause of pain is unknown and incident pain evoked by activities; the latter is further divided into 2 subtypes: involuntary, when pain is evoked independently on patients will and voluntary associated with activity dependent on patients. In spontaneous or incident involuntary pain treatment is based on analgesics (most frequently opioids) with a quick onset of action administered when pain is intensifying – fentanyl formulations administered by intranasal, buccal or sublingual route. In predicted pain episodes more frequently immediate–release opioid formulations are administered by oral or parenteral route. The strategy of BTCP management should be based on precise diagnosis of pain type and therapy directed at pain cause and patomechanism. A key element is precise pain assessment in the context of other symptoms, psychological, social and spiritual problems of patients and careers and introduction of effective therapy that considers causes of pain. Complex management may render effective pain treatment and improvement of patients’ and families’ quality of life.
Optimized Bandwidth Utilization for Real Time Applications in Wireless Sensor Networks

Wireless sensor networks (WSNs) are special types of networks used in information gathering in military, industrial, and surveillance applications. Many such applications of WSNs require Quality of service (QoS) in terms of high bandwidth for real time applications including multimedia audio and video without much delay. These applications demand high packet delivery ratio and are extremely delay-sensitive. However, certain factors limit the ability of the multihop WSNs to achieve the desired goals. These factors include the delay caused by network congestion in the network, limited energy of the sensor nodes, packet loss due to collisions and link failure. In this paper, we propose an optimized bandwidth adaptation and utilization algorithm for real time applications in WSNs. The problem is formulated as linear programming (LP) together with specified constraints. Three types of applications (applications with strict delay requirements, applications with less stringent delay constraints and applications with delay tolerant capabilities) are considered for demonstration. Our claim is well supported with the simulation results carried on OMNET++ simulator.
A RECENT SURVEY ON TRUST MODELS FOR WIRELESS SENSOR NETWORKS

: Background and Objective: Security is one of the major issues in wireless sensor networks, due to its wireless and resource constrained nature. Techniques like authentication, authorization and cryptography fail to assure secure communication, once a sensor node in the network is compromised. In such cases, Trust model plays a crucial role in securing the sensor networks, by identifying the selfish, malicious and compromised nodes and isolating them from communication. It also helps in efficient key distribution, resource utilization, and cluster formation, routing and data aggregation in sensor networks. Materials and Methods: This paper presents different trust metrics and models proposed recently, to address various attacks identified by monitoring their behaviour in the network. Conclusion: It also presents how the trust model is used in different stages of communication to make decisions regarding selection, participation and importance of nodes in the network.
Comparative study of serum copper, zinc, Cu/Zn ratio in pulmonary tuberculosis patients with normal subjects

Introduction: Tuberculosis (TB) is an important global health problem. It has more impact on developing and underdeveloped countries. The impact of tuberculosis can be seen by the fact that in 1993, the world Health Organization (WHO) declared tuberculosis a Global Emergency. WHO estimated that tuberculosis infects about one-third of world’s population. Every year, 8 million people contract tuberculosis, of which 95% are in the developing world. Aims and Objectives: To estimate and compare serum Copper, Zinc levels, and Cu/Zn ratio in newly detected pulmonary tuberculosis patients with healthy volunteers. To estimate Total Protein and Albumin levels to rule out hypoproteinemia. Materials and Methods: The study included 40 newly detected sputum positive pulmonary tuberculosis patients and 40 healthy volunteers. Serum copper and zinc was estimated by colorimetric method using RA-50 semi autoanalyser. Total protein was estimated by biuret method and Albumin, by bromocresol green method using automated analyser. Results and Conclusions: There was a significant increase in serum copper levels in pulmonary tuberculosis patients when compared to control group (P<0.0001). The mean Copper levels in pulmonary tuberculosis patients was 221.93 + 64. 92μg/dl and in controls, it was 137.83 + 26. 71μg/dl. There was a statistically significant decrease in the mean Zinc values in tuberculosis patients when compared to the control group (P<0.0001). The mean Zinc levels in tuberculosis patients was 170.97 + 34.99 μg/dl and in the controls it was 207.71 + 38.37 μg/dl. The Cu/Zn ratio in tuberculosis patients is 1.35 + 0.46 and in the controls it was 0.69 + 0.19. There was a statistically significant (P<0.0001). From the results of present study it can be concluded that estimation of serum copper, zinc, Cu/Zn ratio can have an auxillary value in the early diagnosis and in monitoring the prognosis of subjects with pulmonary tuberculosis, but further studies with larger group of patients is necessary.
Quality of life in patients with advanced lung cancer at home palliative care and at the in-patient palliative care unit

Background: Quality of life (QL) in patients with advanced lung cancer (ALC) is an important issue in palliative care. The aim of the study was to assess QL and performance status changes during the course of ALC in patients at the in-patient and home palliative care. Material and methods: A prospective study of 50 consecutive patients cared at home hospice (HH, 25 patients) and at the in-patient palliative care unit (IPCU, 25 patients). The following instruments were used: EORTC QLQ-C30 for QL evaluation and Karnofsky scale for performance status (KPS) assessment. Measurements were performed in each group twice with 10 day interval. In both patient groups NSCLC and SCLC was diagnosed. Results: No differences in physical functioning and finances in both groups were observed. In both groups role functioning deterioration (hobby) was observed. Social functioning deteriorated in HH (family life) with no change at IPCU. Emotional functioning deteriorated in HH (worry) with no change at IPCU. Cognitive functioning deteriorated only in IPCU patients (concentration and memory). Global quality of life (GQL) and global health status (GHS) deteriorated at IPCU with no change at HH. KPS deteriorated in HH and did not change at IPCU.
PEDIATRICS AND NEONATAL NURSING

1Department of Pediatrics, McGill University Health Centre, Montreal, QC, Canada 2Department of Economics, Université Laval, Québec, QC, Canada 3Department of Pediatrics, CHU de Québec and Université Laval, Québec, QC, Canada *Corresponding author Bruno Piedboeuf, MD Centre de recherche du CHU de Québec Université Laval Centre Mère Enfant du CHU de Québec, 2705 Boulevard Laurier Québec, QC, Canada, G1V 4G2 Tel. (418) 656-2131 Fax: (418) 656-3442 E-mail: bruno.piedboeuf@fmed.ulaval. ca
Study and comparison of fractional delay filters for Sample Rate Conversion

In the receiver architecture of Software Defined Radio (SDR), design of sample rate conversion (SRC) filter can be classified into two tasks, namely, SRC by integral factor and SRC by fractional rate change. SRC by integral factors can be achieved by employing Cascaded Integrator Comb (CIC) filters followed by its compensator. A fractional rate interpolator followed by one or two stages of half band filters is used to achieve the exact sampling rate as required by the wireless standard. In this paper, a comparison between the frequency response of fractional rate interpolator based on Taylor’s approximation and Lagrange polynomial with different orders is presented. From the simulation results it is observed that the former method requires a filter of higher order in comparison to the later method to attain the required spectral characteristics, hence employing more number of computational units.
Screening of attention deficit activity disorder using two way analysis

Attention Deficit Disorder (ADD) is a behavioural and developmental disorder. ADD is one of the most common childhood neurological disorders and can continue through adolescence and adulthood. Symptoms include difficulty staying focused and paying attention. It is a chronic condition that affects millions of children and often persists into adulthood. Children with ADD also may struggle with low self-esteem, troubled relationships and poor performance in school. ADD can cause significant emotional, social and educational problems. However, when ADD causes are known early and properly, the condition can be managed effectively, so children can grow up to have productive, successful and fulfilling lives. The main purpose of this two way statistical analysis is to assess the variations in ADD subjectsunder different environment. The data has been taken from three moderate ADD students (mean age 20) under stressed and relaxed condition. Three moderate subjects of p value 0.1966, 0.3351 and 0.5204 with six short screening questions and the two sets of data for each case has considered for the analysis. Complete analysis is carried out to find out the variations of scores in each question and the variability between the subjects under different environment.  2014 Trade Science Inc. INDIA
Quick Goal Seeking Algorithm for Frontier based Robotic Navigation

There arises situations where an autonomous robot needs to navigate to a target location and no information is available about the terrain. Frontier based navigation is one of the most efficient methods of exploration and navigation for such situations. In a frontier based strategy, the robot navigates to the target location by detecting intermediate frontier regions, which are points lying on the boundary separating the explored region from the unexplored. In this paper, a new frontier based robotic navigation algorithm called the Quick Goal Seeking (QGS) algorithm is proposed. The QGS algorithm is tested in a real-time environment and its performance is compared with two major frontier based navigation algorithms; Modified Goal Seeking (MGS) and Fast Frontier Detector (FFD). The QGS algorithm uses heuristic informed search for path planning. It consists of a highly optimized and efficient scanning function which minimizes the search space. The performance of these three algorithms is compared based on the total time taken to reach the destination. It has been found out that the QGS algorithm performs better than the MGS and FFD algorithms in almost all the cases.
Querying Semi-Structured Data Transformations Using Data Fusion Techniques

— The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Here the semi-structured data and their transformations to be verified and enhanced by using the fusion techniques.
Substrate Removal Kinetics for Anaerobic Hybrid Reactor (AHR) Treating Dairy Industrial Wastewater

Anaerobic Hybrid Reactor (AHR) is one of the most commonly used high rate reactors for treating the domestic and industrial wastewater which offers the advantages of Up flow Anaerobic Sludge Blanket Reactor (UASBR) and Up flow Anaerobic Filter Reactor (UAFR) in a single reactor. In the present study determination of kinetic constants of the AHR was aimed by conducting experimental studies on a laboratory scale Anaerobic Hybrid Reactor(AHR) using different shapes of Poly Propylene Inter Media in the AHR and the dairy industrial wastewater as substrate. The mathematical equations Grau second-order model and Stover Kincannon model were found appropriate models for the design of Anaerobic Hybrid Reactors (AHRs).
STRATEGIC ANALYSIS OF MOBILE ADHOC NETWORKS IN ROUTING PROTOCOLS USING WSNs

The vision of ubiquitous computing requires the development of devices and technologies, which can be pervasive without being intrusive. The basic components of such a smart environment will be small nodes with sensing and wireless communications capabilities, able to organize flexibly into a network for data collection and delivery. The constant improvements in digital circuit technology, has made the deployment of such small, inexpensive, low-power, distributed devices, which are capable of information gathering, processing, and communication in miniature packaging, a reality. Realizing such a network presents very significant challenges, especially at the protocol and software level. Major steps forward are required in the field of communications protocol, data processing, and application support. Although sensor nodes will be equipped with a power supply (battery) and embedded processor that makes them autonomous and self-aware, their functionality and capabilities will be very limited. The resource limitations of Wireless Sensor Networks (WSN), especially in terms of energy, require novel and collaborative approach for the wireless communication. Therefore, collaboration between nodes is essential to deliver smart services in a ubiquitous setting. Current research in this area generally assumes a rather static network, leading to strong performance degradation in a dynamic environment. In this thesis we investigate new algorithms for routing in dynamic wireless environment and evaluate their feasibility through experimentation. These algorithms will be key for building self-organizing and collaborative sensor networks that show emergent behaviour and can operate in a challenging environment where nodes move, fail and energy is a limited resource.
A Comprehensive Review on Mac Protocol of Wireless Nanosensor Networks for Intrabody Application

Nanotechnology has led to the evolution of nano-machines which are tiny components comprising of arranged set of molecules performing pre-determined tasks. The interconnection of nanosensors and nanodevices with Internet has led to development of next evolutionary step towards IoT called “Internet of Nano Things” (IoNT). WNSN for intrabody application consist of integrated nano-machines, di ﬀ used in the human body for collecting diagnostic and prognostic processes and aid in the treatment of patients through accurate tumor and disease detection. Medium Access Control (MAC) protocols are needed for the communication between nano-devices and for the access coordination to the wireless channel. Since classical MAC protocols cannot be used due to the peculiarities of nano-devices and the Terahertz band, they are not suitable for WNSN. The main objective behind this paper is to provide review on so far developed MAC protocols in novel nano-scale communication approaches along with architectural requirements for implementation, communication and networking aspects, significant challenges and security issues.
CHANNEL ESTIMATION BASED SINR DEGRADATION IMPROVEMENT IN MIMO OFDM SYSTEMS

Orthogonal frequency division multiplexing (OFDM) technique is becoming the most frequently used technique for wireless systems such as Long Term Evolution (LTE) and enhanced standards are contemplating its combination with multiple input multiple output (MIMO). These systems suffer from inter-channel interference (ICI) introduced by phase noise and channel estimation errors.ICI is also caused due to Quadrature phase shift in the signals which leads to the loss of information. It degrades the Signal to Interference Noise Ratio (SINR) which in-turn decreases the system performance. In this paper we will derive an analytical expression for SINR degradation. The Quadrature phase change can be corrected using channel estimation and Partial Phase Noise Compensation