Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Highly Utilized Item Set from Transaction Database

Mining highly utilized item sets from a transactional dB means to discover the item sets with high utility as profits. Although a number of Algorithms have been invented but they incur the problem as it generate large set of candidate Item sets also require number of database scan. In frequent item set mining the unit profits and purchased quantities of the items are not taken into considerations and weighted mining profit is not considered only weight is to be considered. Large number of Item sets reduces the performance of mining with respect to execution time and space requirement. When database contains a large number of Transactions this situation becomes worse. In proposed system for create UP-tree and UP-tree mining algorithms named as Up-Growth and Improved Up-Growth the information of highly utilized item sets is recorded in tree based data structure called Utility Pattern Tree which is a compact tree representation of items in transaction database. With the help of Utility Pattern Tree, candidate item sets generated within only two scans of the database. Proposed algorithms not only reduce a number of candidate item sets but also save memory and time.
Interference-Aware QoS Multipath Routing for Ad Hoc Wireless Networks

Abstract As ad hoc wireless networks provide less stable communication for mobile nodes than infrastructure wireless networks, several multipath routing protocols are proposed to improve the throughput and stability of ad hoc wireless networks. When using multipath routing protocols, a sender node adopts multiple disjoined routing paths for data transmission. To minimize the path cost, paths with smaller hopcounts are preferred; for the most part, paths with nearer position and high interference are adopted. As a result, the expected goals of using multipath routing protocols are unable to be attained. To overcome the situation above, this paper brings up an interference-aware multipath routing protocol for QoS-constraint multimedia and real-time applications in ad hoc wireless networks. The proposed protocol can reduce the call dropping rate and improve the QoS stability with its effective bandwidth pre-evaluation and interference susceptibility; the simulation results also show that the proposed protocol has good performance.
Face Recognition System under Varying Lighting Conditions

Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical face recognition systems. Other recognition systems don't nullify most of the lighting variations. We tackle this by combining the strengths of robust illumination normalization, local texture-based face representations, distance transform based matching and kernel based feature extraction and multiple feature fusion. We present a simple and efficient preprocessing chain that eliminates most of the effects of changing illumination while still preserving the essential appearance details that are needed for recognition. We introduce Local Ternary Pattern (LTP), a generalization of the Local Binary Pattern (LBP) local texture descriptor less sensitive to noise. We further increase robustness by introducing Phase Congruency. The resulting method provides a face verification rate of 88.1% at 0.1% false accept rate. Experiments show that our preprocessing method outperforms several existing preprocessors for a range of feature sets, data sets and lighting conditions. We simulate this project using MATLAB software.
Finite Element Mesh Generation

Introduction Finite element method What is finite element mesh generation? Why finite element mesh generation? Problem definition, scope and philosophy, science or art? General strategies, robustness, difficulties and methodologies Mathematics Historical development So far achieved and what lies ahead Topics discussed in the chapters Fundamentals Introduction Notations, symbols and abbreviations Terminologies and data structures Geometrical operations and formulas Topological operations and algorithms Sorting Background grid Mesh generation on planar domain Introduction Structured mesh on planar domain Unstructured mesh on planar domain Meshing by quadtree decomposition Delaunay triangulation (DT) Advancing front approach Meshing by a combined scheme of DT and ADF approach Enhanced quadtree meshing Quadrilateral mesh Mesh generation over curved surfaces Introduction Parametric mapping method Mesh generation by packing ellipses Direct mesh generation on surface Mesh generation by surface intersection Quadrilateral surface mesh Mesh generation in three dimensions Introduction Delaunay triangulation (3D) Boundary recovery for 3D DT Boundary protection in DT Generation of tetrahedral mesh by ADF approach Delaunay-ADF meshing Generation of tetrahedral mesh by sphere packing Generation of hexahedral mesh Mesh optimisation Introduction Shape measure and quality coefficient Optimisation by shifting of nodes Optimisation by topological operations Mesh generation by parallel processing Introduction Fundamentals and strategies Parallel Delaunay triangulation in 2D Parallel Delaunay triangulation in 3D Partition of discretised surface for parallel processing Auxiliary meshing techniques Surface verification and preparation Multi-grid insertion of non-uniform point distributions (2D) Multi-grid insertion of non-uniform point distributions (3D) Mesh generation and adaptation by edge refinement Meshing volume bounded by analytical curved surfaces Merging of tetrahedral meshes Merging of hexahedral meshes Curvilinear finite element mesh Adaptive refinement analysis References Appendix Index
Successful therapeutic plasma exchange in a patient with Morvan syndrome

Morvan syndrome is a rare autoimmune disorder, characterized by hyperexcitability of both central and peripheral nervous systems, accompanied by autonomic dysfunction and hallucinations. [1] Therapeutic plasma exchange (TPE) has been found to be an effective mode of treatment for this disease, but there is limited literature supporting the same. [2] A 26-year-old male was admitted to our hospital and diagnosed with a case of Morvan syndrome, based on the clinical picture and laboratory findings. When standard drug therapy failed to show any improvement, a decision to carry out TPE was taken. The case presented with many peculiar challenges, mostly due to autonomic instability and hyperkinesia experienced by the patient while carrying out the procedure. All these challenges were diligently addressed and managed promptly. Clinical signs of improvement were evident from the 2nd TPE and by the time fifth TPE had finished, the patient was able to perform activities such as walking with support. His autonomic dysfunction and behavioral abnormalities had significantly subsided. This case report highlights the possible effectiveness of TPE in the management of a rare disease such as Morvan syndrome and appropriate application of basic principles and criteria for the use of TPE in cases where limited literature is available.
Community Services, Progression Rate, and Nursing Home Placement In Persons with Alzheimer’s Disease

There are many factors influencing when a person with Alzheimer’s disease (AD) or another dementia is placed in a nursing home (NHP). The aims of this study were to determine if introducing home and community-based services (HCBS) at different stages of disease severity influenced time to NHP in a sample of persons living with AD (n = 1210); examine if disease pre-progression rate (PPR) influenced time to NHP; and explore the interaction between disease severity at first use of HCBS and PPR on time to NHP. Findings suggested that earlier introduction of HCBS delayed time to NHP in a univariate model (p = 0.03), but not when covariates were adjusted (p = 0.39); faster PPR resulted in earlier NHP in both univariate (p < 0.001) and covariate adjusted models (p < 0.01); and earlier introduction of HCBS delayed time to NHP (even when PPR was taken into consideration). Implications are discussed.
Efficient Resource Allocation for Multiclass Services in Multiuser OFDM Systems

Although each application has its own quality of service (QoS) requirements, the resource allocation for multiclass services has not been studied adequately in multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, a total transmit power minimization problem for downlink transmission is examined while satisfying multiclass services consisting of different data rates and target bit-error rates (BER). Lagrangian relaxation is used to find an optimal subcarrier allocation criterion in the context of subcarrier time-sharing by all users. We suggest an iterative algorithm using this criterion to find the upper and lower bounds of optimal power consumption. We also propose a prioritized subcarrier allocation (PSA) algorithm that provides low computation cost and performance very close to that of the iterative algorithm. The PSA algorithm employs subcarrier selection order (SSO) in order to decide which user takes its best subcarrier first over other users. The SSO is determined by the data rates, channel gain, and target BER of each user. The proposed algorithms are simulated in various QoS parameters and the fading channel model. Furthermore, resource allocation is performed not only subcarrier by subcarrier but also frequency block by frequency block (comprises several subcarriers). These extensive simulation environments provide a more complete assessment of the proposed algorithms. Simulation results show that the proposed algorithms significantly outperform existing algorithms in terms of total transmit power consumption.
Gesture and Voice Based PC Control Using Real Time Camera

Human Computer Interaction with hand gesture has become increasingly popular today. The physical mouse device whether it is our basic desktop mouse or laptop touch pad, it require physical contact of user to convey input. Many advanced technologies have came but they all require physical contact. Hence we need a ubiquitous interface to do this. Our method is to use a camera device and computer gesture and voice based technology, like image segmentation as well as gesture recognition, to control mouse actions such as left click, double click, right click and dragging. We can show how it can do the things that present mouse devices can do. Our project Gesture and Voice Based PC Control is a real time system capable of understanding mouse commands given by hand gestures and voice commands. The end user is able to communicate with computer with the commands given by hand gestures and voice commands. This will avoid the need of physical contact to the computer to control mouse inputs. In this way the interface becomes ubiquitous. Introduction As computer technology continues to improve, people are having smaller and smaller electronic. Devices. They want to use these devices ubiquitously. There is need of a new interfaces designed specifically for use with these electronics devices. We are increasingly recognizing the importance of HCI, and in particularly gesture based gesture recognition. Simple interfaces already exist, such as embedded keyboard, folder keyboard and mini keyboard [2] . However, these interfaces need some amount of space to use as well as can’t be used in motion. Touch screens devices are also providing a good control interface and nowadays it is used globally in many applications [3] . But the cost and other hardware limitations makes it limited. With application of gesture technology and controlling the mouse actions by natural hand gestures, we can reduce the space required. We propose a good approach that uses a camera to control the mouse actions. Problem Definition To develop a software solution to a problem, the first step is to understand the problem. Mouse is a physical device, subject to mechanical wear and tear also demands the user to make physical contact to convey his Input, which is no longer appropriate. Natural actions in human to human communication, such as speak and gesture, seem more appropriate. Interfaces based on computational perception and computer gesture should be available for accomplishing the goals of ubiquitous computing [5] . The problem here is to develop a way so that humans can interact with a computer without having any physical contact with the computer. Need for the New System Mouse is a physical device. This device is subject to mechanical wear and tear. It requires the user to make physical contact to convey his Input, which is not appropriate. Instead, natural actions in human-to-human communication, such as speak and gesture, seem more appropriate [5] . This
The Effect of Interactive Reminders on Medication Adherence: A Randomized Trial

Expanding on evidence that interventions to improve health are more effective when informed by behavioral science, we explore whether reminders designed to harness behavioral science principles can improve medication adherence. We conducted a randomized controlled trial with 46,581 U.S. participants with commercial or Medicare Advantage insurance from Humana. Participants were randomly assigned to one of four experimental conditions. Participants in the usual care condition only received standard mailings that the insurer usually sends. In addition to the standard mailings, participants in the other three conditions also received (1) mailings that reminded them to take a target medication (basic reminder condition), (2) reminders that prompted them to predict their medication adherence in the next 30 days (prediction condition), or (3) reminders that prompted them to commit to a self-determined level of adherence for the next 30 days (commitment condition). We sent these mailings once a month for three months from November, 2014 through January, 2015, and tracked prescription refills. We find that, during the mailing period, reminders increased adherence by 0.95 percentage points (p &lt; 0.05), and this effect was driven by the prediction and commitment conditions; during the three-month post-mailing period, reminders increased adherence by 0.98 percentage points (p &lt; 0.05), and this effect was driven by the basic reminder and commitment conditions. The reminders increased medication adherence by 0.7 pills per dollar spent over our 181 day study period.
Therapeutic recreation interventions for need-driven dementia-compromised behaviors in community-dwelling elders

This study describes a clinical trial of at-home recreational therapy for community dwelling older adults with dementia and disturbing behaviors. After two weeks of daily, individualized therapeutic recreation interventions (TRIs), results indicated a significant decrease in levels of both passivity and agitation. Biograph data collection was useful in identifying the physiological changes that occurred with each intervention technique. Specific information is included on the time of day each behavior occurred and the most effective interventions, as well as implications for service delivery.
TCP over wireless links with variable bandwidth

We analyze the effects of TCP algorithms on data transmission over links with variable bandwidth. Significant throughput degradation is demonstrated due to factors such as spurious TCP retransmissions. The degradation is shown to be severe especially when high bandwidth resources are allocated to users for time periods during which multiple TCP segments are transmitted. The throughput degradation due to TCP effects is quantified for a wide range of burst and delay durations. A model for the TCP round trip time (RTT) is developed and validated with experimental results. This model is used to provide insight into spurious TCP retransmission problem and to suggest methods to alleviate it. Consequently, various methods are proposed and evaluated to improve the system throughput. Although we focus on IS-2000 links with finite burst mode of operation, the results would apply to different systems with shared resources and slow bandwidth allocation mechanisms.
Edinburgh Research Explorer Associations between dietary inflammatory index scores and inflammatory biomarkers among older adults in the Lothian Birth Cohort 1936 study

: Objectives: Chronic low-grade inflammation is a key underlying mechanism in several age-related chronic conditions and previous studies have shown that diet can modulate the inflammatory process. We investigated the ability of the Dietary Inflammatory Index (DII ® ), a summary measure of dietary inflammatory potential, to predict concentrations of plasma inflammatory markers in a sample of older people. Design: Cross-sectional and 3-year follow-up analysis of Lothian Birth Cohort 1936 (LBC1936) study data. Setting: Baseline data collection occurred between 2004 and 2007 in Edinburgh, Scotland. Participants: Men and women (n 928, age ~70 at baseline) living in Edinburgh and surrounding regions who are surviving participants of the Scottish Mental Survey of 1947. Measurements: Energy-adjusted DII (E-DII) scores at age 70 (derived from a food-frequency questionnaire), plasma concentrations of inflammatory biomarkers at age 70 (C-reactive protein (CRP), fibrinogen) and age 73 (CRP, fibrinogen, hs-CRP, Interleukin-6 (IL-6)). Analyses were performed using multivariable logistic regression adjusting for age, sex, smoking, body mass index, physical activity, and hypercholesterolaemia. Results: Higher E-DII scores (pro-inflammatory diet) were associated with increased odds of elevated CRP (>3mg/L) at age 70 (OR 1.12; 95% CI: 1.02, 1.24, P = 0.02), and elevated IL-6 (>1.6pg/ ml) at age 73 (OR 1.11; 95% CI: 1.00, 1.23, P = 0.04), but not with fibrinogen. Conclusion: These results are consistent with the ability of the DII to predict inflammatory biomarker concentrations and suggest that diet plays a role in the regulation of inflammation, even after controlling for potential confounders. This validation study provides support for using the DII in research among older populations.
A method for describing industrial control system network attack using object Petri net

Nowadays, the threats industrial control systems face from the inside and outside are becoming more and more serious. However, there are very few works describing industrial control system network attacks, which in turn make it very essential for industrial control system network attack researches to describe and model such attacks. This paper proposes an approach to describe the procedure of industrial control system network attacks using the object Petri net, and takes a case study of smart substation attack as example to help introduce this method of description and modeling. This method adopts a hierarchical form of Petri net to describe the entire process of a network attack, which can control the scale of the Petri net model effectively and can describe the attack process in more detail and accurately at the same time. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
An ERP Application In A Non-Profit Organization: Turkish Red Crescent Society

Although we are more familiar to use of ERP systems in manufacturing sector, in recent years, they have wide application areas in service sector. This is because of that ERP systems facilitate communication, management, and monitoring of enterprises. In non-profit organizations, which have a special situation in service sector, there are some special needs besides the standard structure. In this study, the implementations of ERP systems in service sector, especially in non-profit organizations are examined. The proposed organization is Turkish Red Crescent Society. Firstly, the Red Crescent Society’s activities and processes have been analyzed. The ERP project stages are described. In addition to the standard ERP modules, especially the modules concerning with the Red Crescent such as Disaster Preparedness and Response, Blood Services, Youth and Volunteer services, Cash and in-kind relief Services and their structures, operations and integrations with other modules are described. At the end of the study, some suggestions are offered to reach the ideal solution.
A neural network learning algorithm for adaptive principal component extraction (APEX)

The problem of the recursive computation of the principal components of a vector stochastic process is discussed. The applications of this problem arise in modeling of control systems, high-resolution spectrum analysis, image data compression, motion estimation, etc. An algorithm called APEX which can recursively compute the principal components using a linear neural network is proposed. The algorithm is recursive and adaptive: given the first m-1 principal components, it can produce the mth component iteratively. The numerical theoretical basis of the fast convergence of the APEX algorithm is given, and its computational advantages over previously proposed methods are demonstrated. Extension to extracting constrained principal components using APEX is also discussed. <<ETX>>
in Cloud Data Centers

Recently, virtualization has been an increasingly popular trend in cloud computing due to its ease of administration and efficient resource allocation. Hardware virtualization reduces the overhead of virtualization and significantly improves the performance, comparing favorably to that of physical machines. However, hardware virtualization is complicated to configure and thus is not widely used. This paper proposes integration of hardware-virtual ized network devices into Apache CloudStack to bring the benefits to a larger user base. The proposed mechanism allows virtual machines attached to hardware-virtual ized network devices to automatically provISIon and migrate without any user interactions. Experimental results show that after the initial setup is completed, users can provision new virtual machines without any complicated setup, provisioning, or configuration. The
Parent-Child Communication

It is not surprising that positive communication between adolescents and their parents or caregivers has many benefits. Strong parent-child communication∗ promotes adolescents’ self-esteem and prevents risky behaviors, including substance use, delinquency, and sexual risk taking.1,2 Research has shown that by providing accurate information and creating open lines of communication, parents increase their children’s adoption of safer behaviors, such as delaying sexual initiation and increasing the use of condoms and other contraceptives.3,4 Out-of-home youth (e.g., youth in foster care) also need help to establish connections with caring trusted adults who can provide guidance during adolescence.5 Caregiver-child communication is particularly important for out-of-home youth because they are especially vulnerable and at greater risk of having poor adult outcomes, like unemployment and high school incompletion.6
Implementation of Face Recognition in Cloud Vision Using Eigen Faces

Cloud computing comes in several different forms and this article documents how service, Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The papers discuss a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed System is connection of two stages - Feature extraction using principle component analysis and recognition using the back propagation Network. This paper also discusses our work with the design and implementation of face recognition applications using our mobile-cloudlet-cloud architecture named MOCHA and its initial performance results. The dispute lies with how to performance task partitioning from mobile devices to cloud and distribute compute load among cloud servers to minimize the response time given diverse communication latencies and server compute powers