Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiphysics Modeling of Cellular Arrays Using Periodic Minimal Surfaces – A Drug and Gene Delivery Application

Minimal surfaces are found in nature from crystalline structures to biological nano and micro structures; such as biomembranes, and osseous formations in sea urchin. A model application to electrically mediated drug and gene delivery is presented. Periodic level surfaces which approximate minimal surfaces are used to generate a geometric representation of tissue. A method to create such structures in COMSOL Multiphysics using MATLAB functions is described.
Session Management in Internet Services using Continuous Authentication

Security is a very significant aspect, whether it may be for an individual or commercial usage. Our existing systems have passwords for login to avoid illegal users from logging into the system. Traditional computer systems authenticate users only during initial log-in session, which can be the cause of a critical security flaw. To alleviate this problem, continuous user authentication methods should be used continuously to monitor and authenticate users based on some biometric traits. These kinds of problems are identified mostly when user takes a short interval or when the user may not have logged out due to some reason. This is a very important issue in terms of security concerns especially for systems holding confidential information. Due to advancement in technology some online services have started using biometric data instead of username and password for the purpose of login. The CASHMA architecture has the functionality of both continuous and transparent authentication. This architecture has focused less on the image quality and authentication during low light conditions. Thus we proposed a methodology that uses face biometrics in the management of sessions. The proposed system can continuously authenticate the user without his/her interaction. The system focuses mainly on the facial features and the environmental conditions especially during low light for verifying the user during authentication. Index Terms — Biometrics, Continuous authentication, Session, CASHMA architecture.
Study the effect of monensin, vit E and date palm extract on some sperm parameters of Arabi rams

This study was conducted to evaluate the effect of monensin, vit E and date palm extract on some sperm parameters of Arabi rams . twenty Arabi rams were used in this study, randomly distributed in 4 groups, each group contain 5 animals. which treated daily as the following : control (without addition), T1(50 ml of date palm seeds extract/head), T2 (50 mg vit E / head ) and T3 (200 mg monensin /head). Semen was collected weekly by using artificial vagina. After semen collection the sperm parameters were evaluated as well as estimation the level of tetesterone and some of oxidative enzymes.The results showed that T1 and T2 exhibited enhancement in semen volume ,sperm concentration , individual motility and level of testosterone while there was reduction of the level of MDA and elevation of GPx and SOD compared to control and T3. It was concluded that DPS and vit E have advanced effect on sperm parameters of Arabi rams.
T cells redirected to IL13Rα2 with IL13 mutein-CARs have antiglioma activity but also recognize IL13Rα1

Outcomes for patients with glioblastoma remain poor despite aggressive multimodal therapy. Immunotherapy with genetically modified T cells expressing chimeric antigen receptors (CARs) targeting IL13R[. alpha]2, HER2, EGFRvIII, or EphA2 has shown promise for the treatment of glioma in preclinical models. Based on IL13Rα2-targeted immunotoxins that contain IL13 molecules with one or two amino acid substitutions (IL13 muteins) to confer specificity to IL13Rα2, investigators have constructed CARs with IL13 muteins as antigen binding domains. While the specificity of IL13 muteins in the context of immunotoxins is well characterized, limited information is available for CAR T cells. We constructed four 2nd generation CARs with IL13 muteins with one or two amino acid substitutions. T cells expressing all four CARs recognized IL13Rα1 or IL13Rα2 recombinant protein in contrast to control protein (IL4R) as judged by IFNα production. IL13Rα2 protein induced significantly more IL2, indicating that IL13 mutein-CAR T cells have a higher affinity to IL13Rα2 than IL13Rα1. In cytotoxcity assays, CAR T cells killed IL13Rα1and/or IL13Rα2-positive cells in contrast to IL13Rα1and IL13Rα2negative controls. While we observed no significant differences between IL13 mutein CAR T cells in vitro, only T cells expressing IL13 mutein CARs with an E13K amino acid substitution had antitumor activity in vivo that resulted in a survival advantage of treated animals. Our study © 2014 International Society for Cellular Therapy. Published by Elsevier Inc. All rights reserved. Corresponding author: Stephen Gottschalk Center for Cell and Gene Therapy Baylor College of Medicine 1102 Bates Street, Suite 1770 Houston, TX 77030 Phone: 832-824-4179 Fax: 832-825-4732 smgottsc@txch.org. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Conflict of interest: The Center for Cell and Gene Therapy has a Research Collaboration with Celgene and bluebird bio. SK, KKHC, ZY, NA, and SG have patent applications in the field of T-cell and gene modified T-cell therapy for cancer. NIH Public Access Author Manuscript Cytotherapy. Author manuscript; available in PMC 2015 August 01. Published in final edited form as: Cytotherapy. 2014 August ; 16(8): 1121–1131. doi:10.1016/j.jcyt. 2014.02. 012. N IH -P A A uhor M anscript N IH -P A A uhor M anscript N IH -P A A uhor M anscript highlights that the specificity/avidity of ligands is context-dependent and that evaluating CAR T cells in preclinical animal model is critical to assess their potential benefit.
VOWEL INSERTION IN SCOTTISH ENGLISH LIQUID+NASAL CLUSTERS: BOUNDARY DISPUTES AND DURATIONAL RELATIONS

Published accounts of Scottish English vowel insertion in liquid+liquid and liquid+nasal coda clusters are limited to linguistic surveys. This paper aims to supplement the existent literature by describing the acoustic properties of the vowel and the conditioning environment for this process. The boundary dispute regarding whether the inserted vowel should be classified as phonetic or phonological has been assessed for Dutch schwa insertion in liquid+consonant clusters, but not yet for Scottish English vowel insertion. Duration, along with rate and distribution of application, were used to determine the status of the inserted vowel. Results indicate that the vowel aligns more closely with phonological epenthesis, varying in duration with respect to the duration of preceding vocalic and liquid segments and interacting with syllable structure and morphology.
A Signal-Processing Model of Hearing

The fields of physiology, physics, psychoacoustics, neurology, signal processing, etc., all contribute to the design of a model which emulates the hearing process. Results from these fields are surveyed, and combined to guide the design of a realizable model, as described in this paper. The resdting digital signal processing structure may be designed into custom VLSI silicon chips, and will be useful in several real-time sound processing applications, such as speech recognition systems. The model is preliminary, without detem1ination of all the parameters. The first version of this report is being written as a term paper for Stanford University course EE208, Biological Infonnation Processing, and is not intended for further distribution at this time.
Luiss Lab on European Economics LLEE Working Document no. 27 Stock Prices and Incomplete Information: Implications for Monetary Policy

This paper derives optimal monetary policy when exogenous stochastic stock-price misalignments affect real activity, and analyzes what are the effects of incomplete information in pursuing such optimal policy. Within a standard Dynamic New Keynesian (DNK) model with physical capital, two structural innovations are supposed to be driving stock prices dynamics: persistent productivity shocks affect the long-run component, while temporary stochastic misalignments are effective only in the short-term. The results suggest that, provided that it is able to identify in real time what is the source of the current dynamics of stock prices, an optimising Central Bank should not respond to productivity shocks while a stock-price misalignment calls for intervention. In the case the Central Bankers have only access to limited information, they can't isolate fundamental movements in stock prices from exogenous misalignments. In this case, and provided that the information available is efficiently used, the optimal monetary policy bias is large when the underlying shock is on productivity, while turns out to be very small in the case of a stochastic misalignment. (*) Luiss-Guido Carli University, Rome. Address for correspondence: Luiss-Guido Carli University, Via Tommasini 1, room 512, 00162 Rome, Italy. E-mail: snistico@luiss.it; url: http://www.snistico. altervista.org I wish to thank Giorgio Di Giorgio, Francesco Lippi, Fabrizio Mattesini, Gustavo Piga, Riccardo Tilli and seminar participants at the University of Urbino for very helpful comments and discussions. Any remaining errors are, of course, my sole responsibility.
Pilates Exercises Improve Postural Stability, Ventilatory Functions and Functional Capacity in Patients with Chronic Obstructive Pulmonary Disease

Objective: To investigate the effects of Pilates mat exercises on postural stability, ventilatory functions and functional capacity in patients with chronic obstructive pulmonary diseases(COPD) Methods: a randomized controlled study involving 38 COPD patients were recruited from Elmataria teaching hospital, cairo, Egypt : 19 patients represents the study group and performed Pilates mat exercises for 12 weeks (three 60-min session per week) in addition to diaphragmatic breathing exercises and 19 patients represented the control group and performed diaphragmatic breathing ex only. The variables studied (before and after the intervention) were postural stability indices, ventilatory functions (FVC% of predicted and FEV1 % of predicted), and functional capacity (6 MWT). Results: After the intervention postural stability indices, limits of stability scores, ventilatory functions and distance recorded in 6 MWT were significantly improved in study group (p≤0.05). Conclusions: Our results show that Pilates mat exercises have beneficial effects on postural stability, ventilatory functions and functional capacity in patients with chronic obstructive pulmonary diseases.
Creation of a Humidity Sensor Based on Functionalized Graphene Nanostructures

In this article, we present the results of GO as a primary material of the humidity sensor and the electrophysical characteristics of this sensitive element. The sensitive humidity sensor created using the GO membrane was obtained via vacuum filtration. Initial material GO was synthesized by the modified Hummers method and characterized by Raman spectroscopy, XRD analysis and SEM. The stability of the electrical resistance, also the rate of recovery and response of a humidity sensor element based on GO was studied as a function of the relative humidity level. The GO sensor was demonstrated to function properly in a wide range of humidity over an extended 10 hour period at room temperature. The deviation of the electrical resistance readings of the device during the experiment did not exceed 2 %.
ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM

Skin cancer is an abnormal growth of human skin that can damage skin cells. By knowing the symptoms of skin cancer as early as posssible, it is helpful in preventing the spread of cancer cells and treatment. There are many factors that cause skin cancer, but in general the cause is exposure to ultraviolet rays from the sun. Therefore, an expert system application is required to detect skin cancer. By using backward chining and probalility methode; which data is in form of someone’s risk factor and clinical sympthoms, then the application will provide temporary diagnosis. This application is built in an android platfrom because in its development android is more used than other platforms. The accuracy obtained from this application is 96.67%.
Automatic Detection of Pronation Type of Runners Using Computer Vision

Running is a popular form of recreation. Running clubs and shops commonly provide services related to video analysis of runners. The most common service is to determine the pronation type of a runner. This is done by manually measuring the eversion angle of an ankle from a backside video of a runner on a treadmill. Therefore, there exists a need to develop applications for automatic gait analysis of runners. We have developed methods for automatic measurement of eversion angle of an ankle for subjects running on a treadmill. They measure the angle and pronation type based on human body skeleton model segmented with computer vision techniques. Tested on a group of 15 runners, these methods produced reasonably accurate results and demonstrated the potential for wider use in commercial and sport research applications. Nevertheless, since the accuracy can be further improved, we also provide some guidelines for improvements to eliminate the shortcomings.
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo supplementary materials

References [1] Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys. Pixelwise view selection for unstructured multi-view stereo. In European Conference on Computer Vision, pages 501–518. Springer, 2016. [2] Kyle Wilson and Noah Snavely. Robust global translations with 1dsfm. In Proceedings of the European Conference on Computer Vision (ECCV), 2014. [3] Thomas Schops, Johannes L Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger. A multi-view stereo benchmark with high-resolution images and multi-camera videos. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3260–3269, 2017. [4] Christoph Strecha, Wolfgang von Hansen, Luc Van Gool, Pascal Fua, and Ulrich Thoennessen. On benchmarking camera calibration and multi-view stereo for high resolution imagery. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1–8. IEEE, 2008.
How website quality, e-service quality, e-satisfaction, and social value affect poshtel e-loyalty in Thailand

Poshtels have become the high-end version of the backpacker’s hostel, which is now combining the comfort and style of boutique hotels with the sensibilities and budge prices of a hostel. Current research has stated that the global market for hostels is $5.2 billion, with the smaller niche market of poshtels rapidly growing. As such, the authors set out to investigate which factors influence a Thai poshtel’s e-loyalty (eLOY). An analysis was conducted on the six hypotheses interrelationships between website quality (WQ), e-service quality (e-SQ), e-satisfaction (e-SAT), and social value (SV). Initial analysis was conducted by the use of confirmatory factor analysis [CFA], followed by a structural equation model [SEM] path analysis using LISREL 9.1 on the study’s five latent variables. From the audited questionnaire sample of 405 poshtel guests, the factors affecting e-LOY were SV (TE = 0 . 81), e-SQ (TE = .59), WQ (TE=.28), and eSAT (TE). Additionally, all the model's variables influenced poshtel guest e-LOY as the combined influence of the factors (R) was 75%. Although the ten poshtel websites used in the study showed very creative designs and a multitude of promotional features, the poshtel guests rated this as a moderate concern but elevated the social value that the poshtel brings to its guests as very important, with numerous reports backing this conclusion. Therefore, poshtel proprietors need to take great care in maximizing their guest online social experience by providing accommodations that are ‘picture perfect’ and exciting to the guest and smartphone camera’s eye. Moreover, although it might be expected that younger Millennials are in the majority of the guests (they were at 70.62%), it is also interesting to note that almost 30% were 31 years of age or older.
Parallel Processing for Density-based Spatial Clustering Algorithm using Complex Grid Partitioning and Its Performance Evaluation

Density-based spatial clustering algorithms, which have been well studied in database domains, are based on densities of geospatial data. Recently, the sizes and volumes of spatial databases have been increasing not only because of the popularity of geographical data, but also because of the popularity of geosocial media. Therefore the speedup for the processing of density-based spatial clustering algorithms is one of the most important challenges in many different application domains. In this paper, we propose a new parallelization model on a multi-core CPU using the spatial partition method for DBSCAN, which is one of the most fundamental algorithms for density-based spatial clustering. The new parallelization model utilizes a data replication technique and complex grids for the parallel processing of DBSCAN, in order to improve the speedup performance of parallel processing. The experimental results show that our new model outperforms a conventional data parallelization model.
CRITICALITY ACCIDENT ALARM SYSTEM ANALYSIS USING MCNP6.2 CONSTRUCTIVE SOLID GEOMETRY/UNSTRUCTURED MESH HYBRID

Criticality Accident Alarm System (CAAS) design, analysis, and simulation require a combination of methodologies and techniques used for both criticality and shielding problems. MCNP6.2 is a general-purpose Monte Carlo radiation transport package with continuousenergy neutron and photon physics [1] making it suitable for CAAS analysis and simulation. Use of MCNP6 for analysis of criticality accident alarm systems has typically been done by building constructive solid geometry (CSG) models that may include extensive specification of facilities. The MCNP6 unstructured mesh (UM) capability incorporates a way to specify geometries and conduct simulations on an unstructured mesh, which can be efficient when building complex geometries such as those relevant to CAAS analysis for large, complex facilities. This paper discusses a method that allows users to build a solid geometry or import existing computer aided drawing/computer aided engineering (CAD/CAE) models to create an unstructured mesh for use in MCNP6.2 calculations. Traditional CSG may be combined with UM for embedding an unstructured mesh representation of a geometry and legacy CSG [2] to create a hybrid geometry. An advantage of the CSG/UM hybrid method is the ability to build the facility in the unstructured mesh and specify the critical cells and alarm system detectors in CSG. In this work a constructive solid geometry/unstructured mesh hybrid model is created for use with MCNP6.2. The model is chosen for appropriateness to demonstrate the MCNP6 CSG/UM capability for solving problems relevant to CAAS analysis and for comparison to traditional CSG models used for analyzing criticality accident alarm systems. CAAS problems typically require the use of variance reduction techniques [3]. Methods designed to increase the efficiency of the calculations are discussed. Deterministic variance reduction methods available in Atilla10.0 are applied to the hybrid CSG/UM model [4]. Monte Carlo/deterministic hybrid variance reduction, in which FW-CADIS (forward-weighted consistently adjoint driven importance sampling) is used on the mesh in a deterministic calculation to generate weight windows and source biasing parameters which are applied in the MCNP6.2 simulations [ 5, 6, 7]. Results for CAAS analysis are presented and compared for MCNP6.2 unstructured mesh, constructive solid geometry, and unstructured mesh/constructive solid geometry hybrid models. Visualization of MCNP6.2 results, including use of the MCNP6 UM elemental edit output files and FMESH tallies over the geometry under consideration [8], is presented.
2 6 A ug 2 01 3 Why Gauge ?

The world appears to be well described by gauge theories; why? I suggest that gauge is more than mathematical redundancy. Gauge variables describe handles though which systems couple. Gaugedependent quantities can not be predicted, but there is a sense in which they can be measured. This observation leads to a physical interpretation for the ubiquity of gauge: it is a consequence of a relational structure of the physical quantities.
Evolving Influence Maximization in Evolving Networks

Influence Maximization (IM) aims to maximize the number of people that become aware of a product by finding the “best” set of “seed” users to initiate the product advertisement. Unlike most prior arts on the static networks containing fixed number of users, we study the evolving IM in more realistic evolving networks with temporally growing topology. The task of evolving IM, however, is far more challenging over static cases in the sense that the seed selection should consider its impact on future users who will join network during influence diffusion and the probabilities that users influence one another also evolve over time. We address the challenges brought by network evolution through EIM, a newly proposed bandit-based framework that alternates between seed nodes selection and knowledge (i.e., nodes’ growing speed and evolving activation probabilities) learning during network evolution. Remarkably, the EIM framework involves three novel components to handle the uncertainties brought by evolution: (1) A fully adaptive particle learning of nodes’ growing speed for accurately estimating future influenced size, with real growing behaviors delineated by a set of weighted particles. (2) A bandit-based refining method with growing arms to cope with the evolving activation probabilities via growing edges from previous influence diffusion feedbacks. (3) Evo-IMM, an evolving seed selection algorithm, which leverages the Influence Maximization via Martingale (IMM) framework, with the objective to maximize the influence spread to highly attractive users during evolution. Theoretically, the EIM framework returns a regret bound that provably maintains its sublinearity with respect to the growing network size. Empirically, the effectiveness of the EIM framework is also validated with three notable million-scale evolving network datasets possessing complete social relationships and nodes’ joining time. The results confirm the superiority of the EIM framework in terms of an up to 50% larger influenced size over four static baselines.
Agglomeration Economies

This paper studies the effects of agglomeration eco nomies on the location choices by foreign firms in Vietnam. By us ing a large dataset that provides detailed information about individual firms, the st udy examines the location choices by 568 newly created foreign firms in 2005 in about 150 different 4-digit industries. This is one of the few studies of agglomeration eff ects on the location choices by foreign investments in transition economies in gene ral and in Vietnam in particular. The estimates of the negative binomial regression m del and the conditional logit model show that agglomeration benefits motivate for eign firms in the same industries and from the same countries of origin to locate near each other. However, the empirical results also indicate that there is c ompetition among provinces in Vietnam in attracting foreign investors, and the lo cations of Vietnamese firms have no effects on the location decisions by foreign fir ms in the same industry.