Miracle-dz/UniFAR-FTUs huggingface dataset:
Histopathologic Changes of Acellularized Xenogenic Carotid Vascular Grafts Implanted in a Pig-to-Goat Model

Introduction The present study was designed to determine the in vivo patency and recellularization pattern of acellularized small-diameter xenogenic arterial grafts. We implanted acellularized porcine carotid arteries in bilateral carotid arteries of goats and microscopically analyzed the recellularization pattern of these grafts with the recipient's cells over time. Material and Methods Carotid arteries of pigs weighing 30–40 kg were harvested and decellularized with hypertonic saline followed by sodium dodecyl sulfate. Acellularized porcine carotid vascular xenografts (0.4–0.5 cm in diameter) were prepared into 4 cm-long segments and implanted bilaterally in the carotid arteries of 10 black-haired goats. The in vivo patency of the implanted acellularized xenogenic grafts was evaluated at regular intervals by color Doppler ultrasonography. The goats were sacrificed at predetermined intervals (1 week, 1 month, 3 months, 6 months, 12 months after implantation), two animals at each interval. Upon retrieval, visual inspections and histopathologic examinations of the grafts were performed. To identify smooth muscle cells and functioning endothelial cells, immunohistochemical staining for alpha-smooth muscle actin and von Willebrand factor were also performed. Results and Conclusions All experimental animals survived the observation period. Nineteen out of 20 implanted grafts showed patency with no thrombi. Microscopic analysis revealed that the grafts were completely covered with the hosts' endothelial cells, beginning from anastomotic sites. The grafts were gradually recellularized with recipients'cells including fibroblasts, myofibroblasts and smooth muscle cells. In conclusion, this study suggested that acellularized xenogenic vascular grafts can be a good alternative for the small-diameter vascular graft.
High Performance Class-AB Output Stage Operational Amplifiers for Continuous-time Sigma-delta ADC

High Performance Class-AB Output Stage Operational Amplifiers for Continuous-time Sigma-delta ADC. (August 2011) Lakshminarasimhan Krishnan, B. E. , Anna University, Chennai Chair of Advisory Committee: Dr. Jose Silva-Martinez One of the most critical blocks in a wide-band continuous time sigma delta (CTSD) analog-to-digital converter (ADC) is the loop filter. For most loop filter topologies, the performance of the filter depends largely on the performance of the operational amplifiers (op-amps) used in the filter. The op-amps need to have high linearity, low noise and large gain over a wide bandwidth. In this work, the impact of op-amp parameters like noise and linearity on system level performance of the CTSD ADC is studied, and the design specifications are derived for the op-amps. A new class-AB bias scheme, which is more robust to process variations and has an improved high frequency response over the conventional Monticelli bias scheme, is proposed. A biquadratic filter which forms the input stage of a 5 th order low pass CTSD ADC is used as a test bench to characterize the op-amp performance. The proposed class-AB output stage is compared with the class-AB output stage with Monticelli bias scheme and a class-A output stage with bias current reuse. The filter using the new op-amp architecture has lower power consumption than the other two architectures. The proposed class AB bias scheme has better process variation and mismatch tolerance compared to the op-amp that uses conventional bias scheme.
Speech recognition using segmental neural nets

The authors present the concept of a segmental neural net (SNN) for phonetic modeling in continuous speech recognition (CSR) and demonstrate how this can be used with a multiple hypothesis (or N-Best) paradigm to combine different CSR systems. In particular, the authors developed a system that combines the SNN with a hidden Markov model (HMM) system. In a speaker-independent, 1000-word CSR test using a word-pair grammar, the error rate for the hybrid system dropped 25% from that of a state-of-the-art HMM system alone. By taking into account all the frames of a phonetic segment simultaneously, the SNN overcomes the well-known conditional-independence limitation of HMMs. The hybrid SNN/HMM system generates likely phonetic segmentations from the HMM N-best list, which are scored by the SNN. The HMM and SNN scores are then combined to optimize performance. <<ETX>>
A STUDY AND COMPARISON OF IDEA ALGORITHM AND BLOWFISH ALGORITHM

Keyword: Key Word : IDEA Algorithm, Blowfish, Algorithm Abstrack: ABSTRACT :Cryptographic algorithms are now widely grown, especially symmetrical cryptography algorithm with cipher block categories. Symmetric cryptographic algorithm block ciphers which are well known now among the Internatinal Data Encryption Algorithm (IDEA) and the Blowfish algorithm. Both algorithms operate in the form of blocks of bits, with block sizes of 64 bits. Both algorithms are also known to be very tough in securing information. Study and comparison of algorithms IDEA and Blowfish algorithm is to compare the performance of IDEA and Blowfish algorithm in terms of speed the process and memory usage during encryption and decryption of a file. To be able to compare the performance of the algorithm IDEA and Blowfish algorithm, then the author makes an application program file encryption and decryption using the JAVA programming language. From the test results of a sample program text files, document files, image files, audio files and video files, can be seen that the algorithm is faster than IDEA Blowfish algorithm and the memory consumption is relatively the same algorithm. STUDI DAN PERBANDINGAN ALGORITMA IDEA DAN ALGORITMA BLOWFISH
Exploring Attitudes and Achievement of Web-Based Homework in Developmental Algebra.

The purpose of this study was to understand how students’ attitudes were connected to their mathematics learning. This investigation was specific to web-based homework in developmental courses in the community college environment. The mixed-methods approach was used to analyze the relationship between students’ attitudes and mathematical achievement. The findings from the survey questionnaire showed mixed responses from the students on the benefits and disadvantages of the web-based homework. Cluster analysis results indicated the relationship between the three groups of students and their differences in mathematics attitude. The results suggest that students with lower and average mathematics achievement had a more positive in attitude towards using the web-based homework system compared to the high achieving students. Based on the results, it can be noted that web-based homework plays an important role in students’ attitude possibly because of the immediate feedback that improves understanding
Implementation of Robust and Effortless Multi-Tenant SaaS Framework at Single Instance

Multi-tenancy is most important concept of SaaS. Multi-tenant SaaS model provides license to the client for accessing the services. It provides services to thousands of clients using single web tenant. Software as a service is used by the clients as a software service. This paper describes effortless multi-tenancy at a single instance with the help of muli-tenant SaaS framework. By using dot net technology this framework is being implemented with various features. Effortlessly we can add n number of databases to assign to specific tenant. Scheduled tasks is included in multitenant SaaS framework which performs background operations and helps in optimizing the portal. Various features like bulk insert, usage metering, tenant encapsulation, event logging and mainly effortless multi-tenancy is also provided by this robust framework. Keywords— multi-tenant, SaaS, SaaS Framework single instance, effortless multi-tenant.
Impedance Cardiography Derived Cardiac Output in Hemodialysis Patients: A Study of Reproducibility and Comparison with Echocardiography

Background Hemodialysis patients experience a variety of hemodynamic abnormalities that contribute to cardiovascular disease mortality which is the leading cause of death in these patients. Impedance cardiography has been utilized in order to monitor cardiac hemodynamics with lower cost and inconvenience, but it has not been appropriately validated in the hemodialysis population. Aim We repeatedly used impedance cardiography to assess short- (48 hours) and long-term (15 days) reproducibility of cardiac output measurements and we compared baseline impedance cardiography measurements with echocardiographic measurements. Patients and Methods We studied 109 stable hemodialysis patients, aged 59.70 ± 11.97 years being on hemodialysis for 67.59 ± 40.15 months, on a non-dialysis day. Cardiac output was obtained with the BioZ impedance cardiography system (Cardiodynamics, San Diego, Ca, USA). Baseline echocardiography was performed using a Hewlett-Packard Sonos 2500 (Andover, Mass., USA). Results The values of impedance cardiography derived cardiac output were 5.28 ± 0.79, 5.27 ± 0.75 and 5.25 ± 0.74 l/min at baseline (107 patients), 48 hours (107 patients) and 15 days (98 patients) respectively, showing high reproducibility. Bland and Altman analysis estimated that bias at 48 hours and at 15 days were: −0.013 (95% confidence intervals = −0.045 to 0.019) and 0.028, (95% confidence intervals = −0.044 to 0.101), respectively. In addition baseline impedance cardiography derived cardiac output was significantly correlated with the echocardiographic derived cardiac output (r = 0.9, p < 0.0001). Conclusion Impedance cardiography is a simple non invasive technique for cardiac output estimation in hemodialysis patients which has high reproducibility when performed under controlled conditions, and is closely correlated with echocardiographic measurements of cardiac output.
SIMR: an R package for power analysis of generalized linear mixed models by simulation

The r package simr allows users to calculate power for generalized linear mixed models from the lme4 package. The power calculations are based on Monte Carlo simulations. It includes tools for (i) running a power analysis for a given model and design; and (ii) calculating power curves to assess trade‐offs between power and sample size. This paper presents a tutorial using a simple example of count data with mixed effects (with structure representative of environmental monitoring data) to guide the user along a gentle learning curve, adding only a few commands or options at a time.
MULTISCALE/MULTIPHYSICS COMPUTATIONAL MODELS FOR LAB-ON-CHIP TECHNOLOGY APPLICATIONS

In this communication, we propose and investigate multiphysics and multiscale computational models for the simulation of complex problems in Lab-On-Chip technology applications [1]. The aim of the research is i) to devise a mathematical model capable of accounting for the electrical, fluid-mechanical and bio-chemical phenomena simultaneously occurring in complex bio-electronic systems like bio-chips or bio-reactors; ii) to devise computational techniques for an efficient, accurate and stable numerical approximation of the above mentioned model; iii) to incorporate models and numerical methods in a general-purpose simulation tool that can be easily adapted to cover a wide variety of applications, including the areas of interest of Micro and Nano Fluidics [2], Bio-Electronics [3], Tissue Engineering [4] and Electrophysiology [5]. To accomplish the above objectives, we consider the nonlinear Poisson-Nernst-Planck/Navier-Stokes (PNP/NS) system of PDEs [6], suitably coupled with generation/reaction zero-order terms, reducedorder ODE systems and interface transmission conditions to treat the problems at hand according to a heterogeneous multi-domain formulation [7,8,9]. For the numerical solution of the PNP/NS system, we use a fixed-point solution map for system decoupling and linearization, which generalizes the classical Gummel’s algorithm used in semiconductor device simulation [10]. Discretization of each decoupled subproblem is carried out using Galerkin hybridized finite elements, because of their capability of ensuring flux conservation, sharp fronts and discrete maximum principles. We discuss several numerical examples to validate the proposed methodologies in the simulation of realistic bio–chips and bio–reactors.
Class E tuned power amplifier with nonsinusoidal output voltage

An analysis is presented of the amplifier for a limiting case when the load network does not contain a series-resonant output circuit and the output voltage is non-sinusoidal. For optimum operation with any switch-duty ratio, the author has determined the current and voltage waveforms, the collector current and collector-emitter peak values, the output power, the power-output capability, and the load-network component values. The spectrum of the output voltage is given for a switch-duty ratio of 0.25, 0.5, and 0.75. Close-approximation equations are given for transistor power losses and collector efficiency. The experimental and theoretical results are in very good agreement. The measured collector efficiency is 95%. The circuit has practical applications, e.g., in high-efficiency switching-mode DC-to-DC converters used in DC power supplies for microcomputers or communication equipment.
CUSTOMIZABLE 3D VIDEO GAMES AS EDUCATIONAL SOFTWARE

In last two decades, educational video games have been proven as a modern platform able to enhance substantially traditional e-learning in K12 and higher education. Many recent studies demonstrate using such video games tends to be effective in helping students to obtain new knowledge and to develop useful practical skills; however, lacking free tools and platforms for creation and customization of educational games hampers their mass usage. The paper presents an open software platform for easy creation and flexible customization of video games for teaching students in any subject based on 3D mazes and embedded mini-games for assessment or fostering visual skills and creativity. Teachers can construct easily customizable mazes in their educational domain as a non-restricted hierarchical graph allowing non-linear student gameplay and, next, customize maze nodes using a property editor by shaping each node as they like and by adding multimedia content to it. Playing such maze games, students can learn new ideas, concepts and theories while exploring the customized 3D maze at each hierarchy level for finding the final maze node which may contain some special gift for them. As well, they can play several embedded mini-games for developing fine-motor brain skills, visual and spatial thinking, context-based reasoning and entrepreneurial creativity. The reported results of first field trial are very promising in terms of high appreciation by master students of the created 3D maze video games.
Use Of Data Mining In Business Analytics To Support Business Competitiveness

In this paper, the use of data mining and text mining techniques in business analytics and how they support the use of business intelligence in e-businesses are discussed. The distinction between data mining, business analytics and business intelligence is presented. Suggestions on how electronic businesses can leverage on data mining to enhance their competitiveness are discussed.
COMBINING CAPTCHA AND GRAPHICAL PASSWORDS FOR USER AUTHENTICATION

Text passwords have been widely used for user authentication, however, it is well-known that text passwords are insecure for a variety of reasons . Graphical password schemes are believed to be more secure and more resilient to dictionary attacks than textual passwords, but more vulnerable to shoulder surfing attacks. Many recognition-based graphical password schemes alone, in order to offer sufficient security, require a number of rounds of verification, introducing usability issues. In this paper we suggest a hybrid user authentication approach combining CAPTCHA (Completely Automated Public Turing tests to tell Computers and Humans Apart) and graphical passwords to provide increased
IMPROVING FAST AND SMOOTH HANDOFF IN IEEE 802.11 WIRELESS NETWORKS

IEEE 802.11 Wireless LANs are increasingly being used in real environments for broad-band access. Such large scale IEEE 802.11 WLAN implies the need for client station support from one Access Point to another. The client stations (STA) can move freely, but because of the short range of their Access Points (APs), they usually need to reassociate with different APs and communicate through them. When changing APs, a client station starts a process known as a handoff that can take up to few seconds, which is too long for real-time applications such as Voice over IP (VoIP). Various solutions have been proposed to change or improve the client behavior when doing a handoff. The delay incurred in scanning for APs across channels contributes to 90% of the total handoff delay. In this paper, the Fast Scan scheme is proposed which reduces the scanning delay by using a client-based database. The net handoff delay is reduced for IEEE 802.11b networks. The proposed schemes do not need any changes in the infrastructure (access points) and require only a single radio and a small cache memory at the client side.
Robust visual track using an ensemble cascade of convolutional neural networks

Convolutional Neural Networks (CNN) have dramatically boosted the performance of various computer vision tasks except visual tracking due to the lack of training data. In this paper, we pre-train a deep CNN offline to classify the 1 million images from 256 classes with very leaky non-saturating neurons for training acceleration, which is transformed to a discriminative classifier by adding an additional classification layer. In addition, we propose a novel approach for combining increasingly our CNN classifiers in a “cascade” structure through a modification of the AdaBoost framework, and then transfer the selected discriminative features from the ensemble of CNN classifiers to the robust visual tracking task, by updating online to robustly discard the background regions from promising object-like region to cope with appearance changes of the target. Extensive experimental evaluations on an open tracker benchmark demonstrate outstanding performance of our tracker by improving tracking success rate and tracking precision on an average of 9.2% and 13.9% at least over other state-of-the-art trackers.
Congratulations! You've Landed an Interview: What Do Hiring Committees Really Want?

Purpose – Although the job market remains extremely competitive for entry‐level librarian positions, only individual, anecdotal stories of what hiring committees are looking for in the candidates they invite to interview currently exist; no formal studies have been conducted since the recession began in early 2008. This survey was created with the aim of allowing those with recent experience on hiring committees to provide advice to those on the market for entry‐level public and academic librarian positions and to answer what are, for many job‐seekers, burning questions.Design/methodology/approach – This is an exploratory study designed to give librarians with hiring committee experience an opportunity to speak honestly about their preferences, explain how the interview process works at their institutions, and provide advice to job‐seekers.Findings – The results of this survey provide guidance on what candidates can do to make the most of their abilities, knowledge and skills during the interview process.
Fine-grain parallel processing implementations of Kalman filter algorithms

To implement the Kalman filter, a number of matrix and vector manipulations must be executed within each sample period. Consequently, a drawback of the algorithm is that it is computationally intensive, requiring O(n/sup 3/) operations for each estimate of the n element state vector. Thus, parallel versions of the Kalman filter have been developed in order to reduce execution times and enable the algorithm to be implemented in an increased range of real-time applications. The paper investigates the potential of a 'fine-grain', parallel processing architecture, i.e. the GAPP chip (geometric arithmetic parallel processor), for implementing the Kalman filter algorithm.
AUTOMATIC DETECTION OF SEIZURE ONSET IN PEDIATRIC EEG

This paper proposes a method for automatic detection of seizure onset. Two statistical features: skewness and kurtosis with a wavelet based feature: normalized coefficient of variation (NCOV) were extracted from the data. The classification between normal and seizure EEGs was performed using simple linear classifier. The performance of the algorithm was tested on the 10 patient’s data of CHB-MIT scalp EEG database. The data consisted of 55 seizures of 10646 seconds duration. The results show a mean latency of 3.2 seconds, a mean false detection rate of 1.1 false detections per hour and 100% sensitivity.
Success in healthcare technology businesses: Coordinating the value milestones of new product introduction, financial stakeholders and business growth

Summary To get medical products to market, pharmaceutical, biological product and medical device businesses must successfully progress along a multidimensional path that leads from discovery or design concept to the commercial market. A multidimensional framework is applied to describe the product, finance and organisation axes that encapsulate the value creation process and dictate the activities, resources and business strategies critical for building a successful healthcare technology business. The challenge for pharmaceutical, biological product and medical device developers is to achieve value milestones within each dimension and manage the interplay between them. This paper has captured the high-level axes of a route map in order to bring together these essential challenges and assist start-up or spinout companies to navigate critical transitions within the milestone derived value chain that may enhance their chances of building a successful healthcare business.
Detection of Anti-patterns in Mobile Applications

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Detection of Anti-patterns in Mobile Applications Geoffrey Hecht, Laurence Duchien, Naouel Moha, Romain Rouvoy
Feminist Visions for Transforming Families

Using a social-historical perspective, the author provides a synthesis of key feminist ideas that have been influential in the lives of women and their families. The author addresses a variety of feminist theories and strategies for knowledge production. These ideas are illustrated with examples from her own life course as a way to demonstrate the transformative value of feminist insights for family studies.
Using Cursor Hints to Supplement a Less Interruptive Desktop Notification

In this study we designed an assistive notification mechanism that did not interrupt users’ primary task so that they could focus on their main activity in a desktop environment. When a notification appeared in the peripheral area of the users’ field of view, we gave hints such as the color of cursor or a label to cursor to lead their attention to the notification that was originally outside of users’ field of view. To test our mechanism, we performed a multi-task experiment in a desktop environment with a word-finding game and the mouse cursor hints. The result revealed that the color hint as well as label hint coming from the cursor could increase the accuracy of participants’ ability to aware of the notification and decrease their subjective frustration while having little effect on their primary task. This implies that these approaches can be a potential assistive mechanism to current notification systems in a desktop environment.