Miracle-dz/UniFAR-FTUs huggingface dataset:
Adipose‐derived stem cells induce vascular tube formation of outgrowth endothelial cells in a fibrin matrix

Vascularization of engineered tissues is one of the current challenges in tissue engineering. Several strategies aim to generate a prevascularized scaffold which can be implanted at sites of injury or trauma. Endothelial cells derived from peripheral blood (outgrowth endothelial cells, OECs) display promising features for vascular tissue engineering, including their autologous nature, capacity for proliferation and ability to form mature vessels. In this study we investigated the ability of OECs to form vascular structures in co‐culture with adipose‐derived stem cells (ASCs) in a fibrin matrix. Using microcarrier beads coated with OECs, we showed ingrowth of endothelial cells in the fibrin scaffold. Furthermore, co‐cultures with ASCs induced vessel formation, as evidenced by immunostaining for CD31. The degradation of fibrin is at least in part mediated by expression of matrix metalloproteinase‐14. Moreover, we showed OEC/ASC‐induced vessel‐like structure formation even in the absence of microcarrier beads, where increasing amounts of ASCs resulted in a denser tubular network. Our data add new insights into co‐culture‐induced vessel formation of outgrowth endothelial cells within a fibrin matrix in an autologous system. Copyright © 2012 John Wiley & Sons, Ltd.
Aggressive navigation using high-speed natural feature point tracking

Presently, most autonomous aerial vehicles rely on satellite navigation such as GPS to sense their position in the earth reference frame. However, reliance on GPS restricts the vehicle to missions where GPS signals are readily received. Motion capture systems are capable of indoor localization but require large infrastructure and are prone to occlusion. To overcome these restrictions, a self-contained high-speed vision system was developed at the University of Tokyo in collaboration with Boeing Research & Technology. The system has been flight tested and shown to be capable of drift-free position and attitude estimates without any reliance on GPS signals. Furthermore, the positional accuracy and update rate is at least one order of magnitude superior to that of uncorrected GPS. The vision system combines a high-speed camera with a lightweight computer and power supply into a self-contained computer-vision package. The computer processes the incoming image stream with a modified version of the University of Oxford Parallel Tracking and Mapping (PTAM) SLAM algorithm. Using this algorithm, the location and pose of the camera (and the MA V it is attached to) is estimated as it moves through space by mapping natural features as they first appear and by tracking those features as they move through or reappear in the camera's view. Our vision system was demonstrated using a hexacopter test bed. In a pair of experiments, the hexacopter was able to autonomously repeat a circuit of takeoffs and landings at predetermined separated sites using only MEMs gyro sensors and our vision system. One experiment was performed inside Boeing's motioncapture equipped Collaborative Systems Laboratory (CSL) to prove independence from GPS and to measure the accuracy of the vision system. The hexacopter performed 5 circuits of the navigation task over an area approximately 8 x 8 m at an altitude of approximately 2 m. The vision system's camera was set to provide an image stream of 640 x 480 pixel resolution at 50 Hz. Upon comparison with motion capture data, position estimates from the vision system were shown to be free of drift, with an average error of 2.2 cm and a maximum error of 9.7 cm when the vision system coordinate frame was optimally aligned to the motion capture coordinate frame. A second experiment was performed in an open outdoor area, allowing for safe execution of more aggressive maneuvering. In this experiment, the vision system's camera was set to provide an image stream of 320 x 240 pixel resolution at 120 Hz. This experiment demonstrated the ability to perform takeoffs, landings and transit at higher speeds than was demonstrated in the indoor experiment.
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients

Traditional machine learning approaches to drug sensitivity prediction assume that training data and test data must be in the same feature space and have the same underlying distribution. However, in real-world applications, this assumption does not hold. For example, we sometimes have limited training data for the task of drug sensitivity prediction in multiple myeloma patients (target task), but we have sufficient auxiliary data for the task of drug sensitivity prediction in patients with another cancer type (related task), where the auxiliary data for the related task are in a different feature space or have a different distribution. In such cases, transfer learning, if applied correctly, would improve the performance of prediction algorithms on the test data of the target task via leveraging the auxiliary data from the related task. In this paper, we present two transfer learning approaches that combine the auxiliary data from the related task with the training data of the target task to improve the prediction performance on the test data of the target task. We evaluate the performance of our transfer learning approaches exploiting three auxiliary data sets and compare them against baseline approaches using the area under the receiver operating characteristic curve on the test data of the target task. Experimental results demonstrate the good performance of our approaches and their superiority over the baseline approaches when auxiliary data are incorporated.
Chemoarchitectonic Atlas of the Rat Brain

Now in its 6th edition, written by the Paxinos and Watson, "The Rat Brain in Stereotaxic Coordinates" has been the most used reference of neuroscientists for the past twenty five years. Both the illustrations and nomenclature of the atlas have become standard tools used by almost all research neuroscientists who deal with anatomy, physiology, or function. In 1999, the same authors published volumes "Chemoarchitectonic Atlas of the Rat Forebrain" and "Chemoarchitectonic Atlas of the Rat Brainstem". These publications have been recognized as providing an archive of chemical markers in the rat brain guiding researchers in the identification of structures in their own preparations in many areas of research.They provided primary data which researchers could apply to their own studies. These books were based on the 4th edition of the "Rat Brain in Stereotaxic Coordinates", and are now out of print. This second edition of the material in these books will combine the two volumes of the first edition into a single volume. The photographs are presented one to a page in the forebrain and midbrain areas, two to a page in the hindbrain. Different chemoarchitectonic stains are displayed with labels identifying the structures of the brain, following the delineations and nomenclature of the "Rat Brain in Stereotaxic Coordinates, Sixth Edition". New edition of the chemoarchitectonic atlas to accompany the gold standard reference on the neuroanatomy of the nervous system of the most important model animal in Neuroscience and experimental psychology. Chemoarchitectonic atlases have been providing an archive of chemical markers in the rat brain used in many areas of research. They provided primary data which helps researchers identify structures in their own preparations from neuroanatomical, physiological, neuropharmacological, and gene expression studies. This title combines the two books from the first edition on the rat forebrain and the rat brainstem into one. It contains thoroughly revised identification of structures following the new data from "The Rat Brain in Stereotaxic Coordinates, 6th edition" and the "Chick Brain in Stereotaxic Coordinates".
Meshless Shape and Motion Design for Multiple Deformable Objects

We present physically based algorithms for interactive deformable shape and motion modelling. We coarsely sample the objects with simulation nodes, and apply a meshless finite element method to obtain realistic deformations at interactive frame rates. This shape deformation algorithm is then used to specify keyframe poses and a smooth interpolating motion is obtained by solving for an energy‐minimizing trajectory. We show how to handle collisions between different deformable objects as well as with static or moving scene objects. Secondary motion is added as a post‐process by running a meshless elastic solid simulation. We enforce precomputed trajectories using control forces computed using shape matching. Key to the efficiency of our method is a sparse deformation representation and an adaptive optimization algorithm that automatically introduces new degrees of freedom in problematic regions. An accurate temporal interpolation scheme that exactly recovers rigid motions keeps the number of unknowns low and achieves realistic deformations with very few keyframes. We also show how the algorithm allows combining purely physical simulation with keyframe‐based scripted animation. The presented results illustrate that our framework can handle complex shapes at interactive rates, making it a valuable tool for animators to realistically model deformable 3D shapes and their motion.
Medical Image Watermarking using Multi Ridgelet and Fast ICA

— The medical field along with computer field grows in a rapid manner. In telemedicine and tele-diagnosis authentication of medical images are very important to the patient ,doctor and Insurance company. The youngsters are also keen in knowing about the treatment methods and procedures. But no one likes to tell about the disease in open hall. So there is always an urge for watermarking of medical images. So in this work we use the concept of multi ridge let and fast independent component analysis. Since multi ridge let is a good way to enhance edges and reduce the noise. In this method we have calculated the structural similarity index measure (SSIM), mean square error(MSE) and peak signal to noise ratio(PSNR) . The experimental results are compared with the existing methods and found to be very effective.
Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival

Missing values are common in medical datasets and may be amenable to data imputation when modelling a given data set or validating on an external cohort. This paper discusses model averaging over samples of the imputed distribution and extends this approach to generic non-linear modelling with the Partial Logistic Artificial Neural Network (PLANN) regularised within the evidence-based framework with Automatic Relevance Determination (ARD). The study then applies the imputation to external validation over new patient cohorts, considering also the case of predictions made for individual patients. A prognostic index is defined for the non-linear model and validation results show that 4 statistically significant risk groups identified at the 95% level of confidence from the modelling data, from Christie Hospital (n=931), retain good separation during external validation with data from the British Columbia Cancer Agency (n=4,083).
Will Case-Based Decision Makers Survive in a Financial Market ?

I analyze whether case-based decision makers (CBDM) can survive in an asset market in the presence of expected utility maximizers. Conditions are identified, in which the CBDM retain a positive mass with probability one. CBDM can cause predictability of asset returns, high volatility and bubbles. It is found that the expected utility maximizers can disappear from the market for a finite period of time, if the mispricing of the risky asset caused by the case-based decision makers aggravates too much. Only in the case of logarithmic expected utility maximizers do the case-based decision makers disappear from the market for all parameter values.
Expression of selected tumor suppressor and oncogenes in endometrium of women with endometriosis.

BACKGROUND It is becoming increasingly evident that the eutopic endometrium of women with endometriosis shows certain genetic alterations which are not found in the endometrium of disease-free women. The aim of the study was to compare the expression level of mammalian target of rapamycin (mTOR) tumor suppressor and oncogene-related genes in the endometrium of women with and without endometriosis as well as in ovarian endometriosis. METHODS A total of 81 regularly menstruating patients were recruited in the study. We applied the micro fluidic gene array to examine the expression of 15 human tumor suppressor and oncogenes in eutopic endometrium of 40 women with endometriosis and 41 controls without endometriosis. In 14 patients with endometriosis, gene expression was also studied in matched ovarian lesions. We studied the following genes: NF1, RHEB, mTOR, PTEN, TSC1, TSC2, KRAS, S6K1, TP53, EIF4E, LKB1, PIK3CA, BECN1, 4EBP1 and AKT1. Immunohistochemical studies were subsequently performed for selected proteins. RESULTS Of the 15 studied genes, we found significantly higher levels of oncogene AKT1 (P = 0.006) and tumor suppressor gene 4EBP1 (P = 0.01) mRNAs in the eutopic endometrium of women with endometriosis compared with control patients. Immunohistochemistry showed that 4EBP1 and AKT1 proteins were expressed in eutopic endometrium. CONCLUSIONS Our results suggest that up-regulation of AKT1 and 4EBP1 in eutopic endometrium may be associated with the pathogenesis of endometriosis, but their precise role remains to be established.
Soil bacterial community in a photovoltaic system adopted different survival strategies to cope with small-scale light stress under different vegetation restoration modes

Solar photovoltaic (PV) power generation is a major carbon reduction technology that is rapidly developing worldwide. However, the impact of PV plant construction on subsurface microecosystems is currently understudied. We conducted a systematic investigation into the effects of small-scale light stress caused by shading of PV panels and sampling depth on the composition, diversity, survival strategy, and key driving factors of soil bacterial communities (SBCs) under two vegetation restoration modes, i.e., Euryops pectinatus (EP) and Loropetalum chinense var. rubrum (LC). The study revealed that light stress had a greater impact on rare species with relative abundances below 0.01% than on high-abundance species, regardless of the vegetation restoration pattern. Additionally, PV shadowing increased SBCs’ biomass by 20–30% but had varying negative effects on the numbers of Operational Taxonomic Unit (OTU), Shannon diversity, abundance-based coverage estimator (ACE), and Chao1 richness index. Co-occurrence and correlation network analysis revealed that symbiotic relationships dominated the key SBCs in the LC sample plots, with Chloroflexi and Actinobacteriota being the most ecologically important. In contrast, competitive relationships were significantly increased in the EP sample plots, with Actinobacteriota having the most ecological importance. In the EP sample plot, SBCs were found to be more tightly linked and had more stable ecological networks. This suggests that EP is more conducive to the stability and health of underground ecosystems in vulnerable areas when compared with LC. These findings offer new insights into the effects of small-scale light stress on subsurface microorganisms under different vegetation restoration patterns. Moreover, they may provide a reference for optimizing ecological restoration patterns in fragile areas.
Lattice reduction-aided regularized block diagonalization for multiuser MIMO systems

By employing the regularized block diagonalization (RBD) preprocessing technique, the multi-user multi-input multi-output (MU-MIMO) broadcast channel is decomposed into multiple parallel independent single user multi-input multi-output (SU-MIMO) channels and achieves the maximum diversity order at high data rates. The computational complexity of RBD, however, is relatively high due to two singular value decomposition (SVD) operations. In this paper, a low-complexity lattice reduction aided RBD is proposed. The first SVD is replaced by a QR decomposition, and the orthogonalization procedure provided by the second SVD is substituted by a lattice reduction whose complexity is mainly contributed by a QR decomposition. Simulation results show that the proposed algorithm can achieve almost the same sum-rate as RBD while offering a lower complexity and substantial BER gains with perfect as well as imperfect channel state information at the transmit side.
Molecular characterization of apoptosis by the immunohistochemical evaluation of Bcl-2 in breast cancer.

PURPOSE Immunohistochemical markers are used to classify breast cancer into molecular subtypes biologically and behavior distinct. The Bcl-2 gene has been implicated in a number of cancers and it is also thought to be involved in resistance to conventional cancer treatment. The aim of this study was to investigate apoptosis in breast cancer cells and in molecular groups using IHC expression of Bcl-2. MATERIALS AND METHODS Our study included 61 patients that been followed up five years since diagnosis. The traditional prognostic factors: age, tumor size, histological type, histological grade, clinical stage and the status of the lymph nodes were used for primary morphological evaluation. Molecular classification of cases and Bcl-2 assessment was performed by immunohistochemistry in agreement with data from the literature. RESULTS More than an half of tumors were positive for Bcl-2 showing a favorable response to endocrine therapy. The average age of the patients, hormonal status, tumoral diameter and histological grade showed significant differences statistically. Most of positive cases for Bcl-2 belong to the luminal tumor group, while non-luminal tumors have a negative reaction. When we compared well-known histological types, we noticed insignificant issues regarding score groups for Bcl-2; in exchange, when they were compared into molecular groups, we obtained the strongest statistical correlation. CONCLUSIONS Assessment of apoptosis by Bcl-2 leads to the identification of molecular groups with different immunohistochemical and clinical features and different survival rates, better for Bcl-2 positive tumors and worse in Bcl-2 negative tumors.
Enhanced Maintenance Services with Automatic Structuring of IT Problem Ticket Data

We propose a novel technique to enhance the IT problem isolation and resolution Maintenance Services by automatically structuring problem tickets consisting of free form, heterogeneous textual data. The originality of our technique consists in applying the Conditional Random Fields (CRFs) supervised learning process to automatically identify individual units of information in the raw data. We apply our technique to identify structural patterns specific to the problem ticket data used in Call Centers since this data is not explicitly structured, is highly noisy, and very heterogeneous in content, making it hard to analyze and search by the remote technical support personnel. We present a study of the accuracy of our experiments.
Ieee Recommended Practice for Software Requirements Speciþcations Ieee-sa Standards Board Introduction Participants the following Persons Were on the Balloting Committee: Ieee Recommended Practice for Software Requirements Speciþcations 1. Overview 1.1 Scope 2. References Astm E1340-96, Standard Gui

No part of this publication may be reproduced in any form, in an electronic retrieval system or otherwise, without the prior written permission of the publisher. Abstract: The content and qualities of a good software requirements specification (SRS) are described and several sample SRS outlines are presented. This recommended practice is aimed at specifying requirements of software to be developed but also can be applied to assist in the selection of in-house and commercial software products. Guidelines for compliance with IEEE/EIA 12207.1-1997 are also provided. IEEE Standards documents are developed within the IEEE Societies and the Standards Coordinating Committees of the IEEE Standards Association (IEEE-SA) Standards Board. Members of the committees serve voluntarily and without compensation. They are not necessarily members of the Institute. The standards developed within IEEE represent a consensus of the broad expertise on the subject within the Institute as well as those activities outside of IEEE that have expressed an interest in participating in the development of the standard. Use of an IEEE Standard is wholly voluntary. The existence of an IEEE Standard does not imply that there are no other ways to produce, test, measure, purchase, market, or provide other goods and services related to the scope of the IEEE Standard. Furthermore, the viewpoint expressed at the time a standard is approved and issued is subject to change brought about through developments in the state of the art and comments received from users of the standard. Every IEEE Standard is subjected to review at least every Þve years for revision or reafÞrmation. When a document is more than Þve years old and has not been reafÞrmed, it is reasonable to conclude that its contents, although still of some value, do not wholly reßect the present state of the art. Users are cautioned to check to determine that they have the latest edition of any IEEE Standard. Comments for revision of IEEE Standards are welcome from any interested party, regardless of membership afÞliation with IEEE. Suggestions for changes in documents should be in the form of a proposed change of text, together with appropriate supporting comments. Interpretations: Occasionally questions may arise regarding the meaning of portions of standards as they relate to speciÞc applications. When the need for interpretations is brought to the attention of IEEE, the Institute will initiate action to prepare appropriate responses. Since IEEE Standards represent a consensus of all concerned interests, it …
Eliminating fine grained timers in Xen

The move to "infrastructure-as-a-service" cloud computing brings with it a new risk: cross-virtual machine side channels through shared physical resources such as the L2 cache. One approach to this risk is to rewrite sensitive code to eliminate the signal. In this paper we consider another approach: weakening malicious virtual machines' ability to receive the signal by eliminating fine-grained timers. Such "fuzzy time" was implemented in 1991 in the VAX security kernel, but it was not clearly applicabile to modern virtual machine managers such as Xen on platforms such as the x86, which exports a cycle counter through the RDTSC instruction. In this paper, we demonstrate that it is possible to modify the RDTSC instruction on Xen-virtualized x86 machines, making the timer provided by this instruction substantially more coarse. We perform a thorough evaluation of the impact of modifying this timer on the usability of the system, and we evaluate the limiting point of the timer coarseness. Our findings open the way to a specific research program for mitigating cloud computing side channels through fuzzy time: (1) What other sources of fine-grained time are available to a malicious VM, and is it possible to degrade them? (2) What distribution of noise should be introduced to RDTSC and other timing signals to maximize the effect on malicious VMs while minimizing the effect on legitimate ones? (3) What timing resolution is actually needed to make use of L2 cache side channels?