Miracle-dz/UniFAR-FTUs huggingface dataset:
Liposome-encapsulated chemotherapy: Current evidence for its use in companion animals.

Cytotoxic drugs encapsulated into liposomes were originally designed to increase the anticancer response, while minimizing off-target adverse effects. The first liposomal chemotherapeutic drug was approved for use in humans more than 20 years ago, and the first publication regarding its use in a canine cancer patient was published shortly thereafter. Regardless, no general application for liposomal cytotoxic drugs has been established in veterinary oncology till now. Due to the popularity of canines as experimental models for pharmacokinetic analyses and toxicity studies, multiple publications exist describing various liposomal drugs in healthy dogs. Also, some evidence for its use in veterinary cancer patients exists, especially in canine lymphoma, canine splenic hemangiosarcoma and feline soft tissue sarcoma, however, the results have not been overwhelming. Reasons for this may be related to inherent issues with the enhanced permeability and retention effect, the tumour phenomenon which liposomal drugs exploit. This effect seems very heterogeneously distributed in the tumour. Also, it is potentially not as ubiquitously occurring as once thought, and it may prove important to select patients for liposomal therapy on an individual, non-histology-oriented, basis. Concurrently, new developments with active-release modified liposomes in experimental models and humans will likely be relevant for veterinary patients as well, and holds the potential to improve the therapeutic response. It, however, does not resolve the other challenges that liposomal chemotherapy faces, and more work still needs to be done to determine which veterinary patients may benefit the most from liposomal chemotherapy.
Algorithms for the Majority Rule (+) Consensus Tree and the Frequency Difference Consensus Tree

This article presents two new deterministic algorithms for constructing consensus trees. Given an input of <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives> <inline-graphic xlink:href="jansson-ieq1-2609923.gif"/></alternatives></inline-formula> phylogenetic trees with identical leaf label sets and <inline-formula><tex-math notation="LaTeX">$n$</tex-math><alternatives> <inline-graphic xlink:href="jansson-ieq2-2609923.gif"/></alternatives></inline-formula> leaves each, the first algorithm constructs the <italic>majority rule (+) consensus tree</italic> in <inline-formula> <tex-math notation="LaTeX">$O(k n)$</tex-math><alternatives><inline-graphic xlink:href="jansson-ieq3-2609923.gif"/> </alternatives></inline-formula> time, which is optimal since the input size is <inline-formula> <tex-math notation="LaTeX">$\Omega (k n)$</tex-math><alternatives> <inline-graphic xlink:href="jansson-ieq4-2609923.gif"/></alternatives></inline-formula>, and the second one constructs the <italic>frequency difference consensus tree</italic> in <inline-formula><tex-math notation="LaTeX">$\min \lbrace O(k n^{2}), O(k n (k + \log ^{2}n))\rbrace$</tex-math><alternatives> <inline-graphic xlink:href="jansson-ieq5-2609923.gif"/></alternatives></inline-formula> time.
Observability singularity of batch bioreactors: A solution based on high order sliding mode differentiator approach

This paper deals with the observability singularity problem of batch bioreactors on the positive Orthant. This singularity is overcame by the dedicated approach based on the well-known high order sliding mode differentiator proposed by Arie Levant and the resolution of simple second order equation. Nevertheless, it is difficult to distinguish between both solutions, but the second differentiation of the output gives an appropriate test procedure for choice between both solutions. Some simulation results highlight the well-founded of the proposed method.
Revisiting tendency based collaborative filtering for personalized recommendations

Recommender systems alleviates the problem of information overload by providing personalized suggestions to the users. In this context, recently introduced tendency based recommendation technique is proven to be more simple, intuitive and accurate than the traditional collaborative filtering (CF) techniques. This approach computes two important statistics namely, user tendency and item tendency from the rating dataset in order to predict the final rating of an unrated item. Tendency of an item is computed using all the ratings received by it. However, these ratings might include the ratings provided by ambiguous (unstable) users. Another prominent drawback of the tendency based approach is that the tendency of an item is generic and remains unchanged across the users leading to non-personalized recommendations. In this paper, we compute item tendency in two different aspects. In the first aspect, we use an information theoretic approach to discover the most unambiguous users and utilize their ratings to compute the item tendency. In the second aspect, we compute the item tendency with respect to the active user, thereby making the tendency personalized to the users. Finally, we propose to obtain stable neighbor sets for each active user, thus making the recommendations more appropriate and accurate. Real-world datasets (Yahoo! Music, Netflix and MovieLens) are used to evaluate our approach. Experimental results show that the proposed techniques outperform the tendency based approach and traditional CF approaches across standard performance metrics.
Frequency-dependence of channel delay spread in an outdoor environment

Millimeter-Wave (mmW) communication systems, capable of achieving high data rates thanks to the large bandwidth available in this frequency range, are a promising 5G technology. Studies in this paper investigate the radio propagation channel at 3, 17 and 60 GHz in an Outdoor environment. Measurements were conducted using a wideband channel sounder to derive channel delay spread (DS). Results do not indicate a clear trend on the behavior of the DS with regards to the frequency. This disagrees in some way with the 3GPP TR 38.900 channel model findings which support a clear decreasing trend of this parameter as the frequency increases. At 60 GHz, the channel DS was computed with and without compensation of atmospheric oxygen absorption. It was found that this phenomenon has a minor impact on the measurement results. Its compensation does not change the main conclusions.
The relationship between social status and the components of agency

ABSTRACT Building on the two fundamental dimensions of social judgment distinguishing communion from agency, the purpose of the present work was to show that the strength of the relationship between social status and agency depends on specific components at issue: assertiveness, competence, and effort. Four experimental studies were conducted using two complementary paradigms. In Studies 1 and 2, we manipulated social status, and participants had to rate the target on competence, assertiveness, and effort. In Studies 3 and 4, we reversed the design. Results consistently showed that social status was primarily related to assertiveness, somewhat related to competence, and only slightly related to effort. The present research provides a better understanding of how the dimensions of social judgment are used to explain differences in social status.
Robust consensus tracking for heterogeneous linear multi-agent systems with disturbances

The robust consensus tracking problem is studied in this paper for a class of heterogeneous linear multi-agent systems with disturbances and directed communication topology graphs. A new kind of consensus protocol based on cooperative observers and relative states among neighbouring agents is first proposed. With the help of the designed cooperative observers, the agents in the group could reject the disturbances efficiently if at least one agent can measure the disturbances directly in a strongly connected graph. Furthermore, when the relative states between neighboring agents are unavailable, a distributed observer-type consensus tracking protocol based on relative output measurements is proposed. By using tools from Lyapunov stability theory, some sufficient criteria for achieving consensus tracking are obtained. Simulations are finally provided to illustrate the performance and effectiveness of the theoretical results.
Provisional process migration from IoT devices: A performance study

In prospective consumer spaces where a great number of autonomous Internet of Things (IoT) devices are loosely cooperating with each other, many requests can unexpectedly concentrate on a single IoT device. We are researching a system which would allow a process on an IoT device to provisionally migrate to a backup computer in such cases. As the first step, this paper proposes a method of running the core image of an IoT controller on a backup computer with a different architecture. We then evaluate its performance, which demonstrates the appropriateness of the direction of this research.
Facebook addiction and loneliness in the post-graduate students of a university in southern India

Background: Facebook is a social networking site (SNS) for communication, entertainment and information exchange. Recent research has shown that excessive use of Facebook can result in addictive behavior in some individuals. Aim: To assess the patterns of Facebook use in post-graduate students of Yenepoya University and evaluate its association with loneliness. Methods: A cross-sectional study was done to evaluate 100 post-graduate students of Yenepoya University using Bergen Facebook Addiction Scale (BFAS) and University of California and Los Angeles (UCLA) loneliness scale version 3. Descriptive statistics were applied. Pearson’s bivariate correlation was done to see the relationship between severity of Facebook addiction and the experience of loneliness. Results: More than one-fourth (26%) of the study participants had Facebook addiction and 33% had a possibility of Facebook addiction. There was a significant positive correlation between severity of Facebook addiction and extent of experience of loneliness (r = .239, p = .017). Conclusion: With the rapid growth of popularity and user-base of Facebook, a significant portion of the individuals are susceptible to develop addictive behaviors related to Facebook use. Loneliness is a factor which influences addiction to Facebook.
User profiles and Learning Objects as ontology individuals to allow reasoning and interoperability in recommender systems

This work presents an alternative model to traditional educational recommender systems techniques. The model proposes the description of Learning Objects (LO) and User Profiles as OWL ontology individuals. We propose that the use of ontologies can be very helpful when we seek to accomplish an overall domain interoperability and knowledge description. It is also fundamental for our proposal that a common vocabulary is used. For that, the core of the ontologies are described with the use of the OBAA metadata standard, an extension to IEEE LOM that provides interoperability among hardware platforms for the Brazilian context. Also is part of this work to present a set of practices to develop educational Recommender Systems supported by ontologies.
Control of residual stress of polysilicon thin films by heavy doping in surface micromachining

Control of residual stress of polysilicon thin films for use in surface micromachining was experimentally studied. It was found that stress can be controlled by fairly heavy doping and subsequent annealing. Polysilicon films with lower than 50 ppm tensile and -50 ppm compressive strain were fabricated as measured from micromachined test structures. Very low tensile strains of less than 100 ppm were obtained with As/sup +/ implantation doses on the order of 1-3*10/sup 16/ cm/sup -2/ and annealing temperatures of 1050 degrees C. Strains as low as 15-30 ppm were achieved. The problem of sticking of structures to the substrate after wet etching of sacrificial oxide was observed and circumvented. <<ETX>>
Convergence-enhanced dense RGB-D odometry with a rotational motion prior from a gyroscope

In this paper, we address a convergence-enhanced dense RGB-D visual odometry with a rotational motion prior derived from a gyroscopic data. We focus on two main problems of dense methods, namely high computational loads and existence of many local minima. To deal with these problems, we use the rotational prior from the gyroscope and the general structure of the photometric error minimization procedure is divided into two-fold steps, 3-DoF partial problem and 6-DoF refinement problem, efficiently utilizing the rotational prior from the gyroscope. We evaluate performances of the proposed algorithm using various datasets and compare with the popular dense visual odometry, DVO. Our algorithm not only operates faster than DVO, but also relieves the high non-linearity of the cost function, so frequent motion estimation jumps are suppressed considerably.
Lower serum P1NP/βCTX ratio and hypoalbuminemia are independently associated with osteoporotic nonvertebral fractures in older adults

Purpose To estimate the discriminative value of serum P1NP/βCTX ratio and albumin levels in hospitalized orthogeriatric patients with and without nonvertebral fractures. Methods In 1,239 orthogeriatric patients (mean age 78.1±9.52 years, 69.1% women) including 854 (68.9%) with osteoporotic nonvertebral fractures (455 [36.7%] with hip fracture [HF]) and 385 (31.1%) without fractures, markers of bone formation (procollagen type 1 N-terminal propeptide [P1NP], osteocalcin [OC], and bone resorption (beta-C-terminal cross-linking telopeptide of type 1 collagen [βCTX]), indices of mineral metabolism, and parameters of liver and renal functions were assessed; data on clinical and laboratory characteristics were collected prospectively. Results Both lower serum P1NP/βCTX ratio and albumin concentration (as continuous or categorical variables) were independently associated with fracture presence in multivariate logistic regressions. Compared with the highest P1NP/βCTX tertile, the prevalence of HF, after adjustment for multiple covariates, was 3-fold higher in the lowest tertile and 1.5 times higher in the middle tertile; presence of any fracture was 2.3- and 1.6-fold higher, respectively; patients with albumin levels in the lowest tertile had multivariate odds ratio (OR) of 4.6 for HF and 2.8 for any fracture, in the middle tertile the ORs were 2.2 and 1.3, respectively. The P1NP/βCTX <100.0 (median) and hypoalbuminemia (<33 g/L) demonstrated area under the curve values for HF of 0.802 and 0.806, respectively, and for any fractures of 0.711 and 0.706, respectively. When both characteristics were combined, the ORs for HF or any fracture, compared with the nonfractured group, were 7.8 and 3.2, respectively, with an accuracy of 79.6% and 71.6%, respectively. Conclusions In orthogeriatric patients, both serum P1NP/βCTX ratio and albumin levels demonstrated an inverse dose–effect relationship with the prevalence of nonvertebral fractures and independently indicated fracture presence with acceptable discriminatory power. Lower P1NP/βCTX (<100) and hypoalbuminemia could be useful simple additive prognostic tools for fracture risk stratification in the elderly.
Cardiovascular Disease and Breast Cancer: Where These Entities Intersect A Scientific Statement From the American Heart Association

Cardiovascular disease (CVD) remains the leading cause of mortality in women, yet many people perceive breast cancer to be the number one threat to women’s health. CVD and breast cancer have several overlapping risk factors, such as obesity and smoking. Additionally, current breast cancer treatments can have a negative impact on cardiovascular health (eg, left ventricular dysfunction, accelerated CVD), and for women with pre-existing CVD, this might influence cancer treatment decisions by both the patient and the provider. Improvements in early detection and treatment of breast cancer have led to an increasing number of breast cancer survivors who are at risk of long-term cardiac complications from cancer treatments. For older women, CVD poses a greater mortality threat than breast cancer itself. This is the first scientific statement from the American Heart Association on CVD and breast cancer. This document will provide a comprehensive overview of the prevalence of these diseases, shared risk factors, the cardiotoxic effects of therapy, and the prevention and treatment of CVD in breast cancer patients.
Adaptive full duplex communications in cognitive radio networks

In this paper we propose a novel adaptive scheme for full duplex communication of secondary users (SUs) in a cognitive radio network. The secondary network operates in three modes; Cooperative Sensing (CS), Full Duplex Transmit and Sensing (FDTS), and Full Duplex Transmit and Receive (FDTR). In the CS mode, SUs detect the activity of primary users (PUs) through a novel cooperative MAC protocol and will decide the system's mode of operation in the subsequent spectrum hole. In the FDTS mode one of the SUs senses the PUs' activity continuously whilst transmitting to another node. In the FDTR mode, SUs communicate bidirectionally in an asynchronous full duplex manner, with decreased collision durations. It is shown that the performance of the proposed protocol in terms of average and maximum collision duration and network throughput outperforms the traditional methods.
C1q-like Factor, a Target of miR-430, Regulates Primordial Germ Cell Development in Early Embryos of Carassius auratus

C1q-like is a significant maternal factor of TNF/C1q super-family, and the abundant protein has been observed in both mature eggs of Carassius auratus and Carassius auratus gibelio, but its biological function in early embryo development has remained unclear. In this study, we firstly revealed a high level of maternal C1q-like transcript existence only in mature eggs of Carassius auratus, whereas no any maternal C1q-like transcript was observed in that of Carassius auratus gibelio. During embryonic development, the C1q-like zygotic expression begins around cardiopalmus stage in embryos of both Carassius auratus and Carassius auratus gibelio. Then, we examined the biological role of C1q-like by morpholino-mediated knockdown in early embryo development. Knockdown of CaOC1q resulted in a significant reduction of primordial germ cells (PGCs) in Carassius auratus, as shown by whole mount in situ hybridization with vasa-specific RNA probe, fluorescence immunostaining of vasa protein, and GFP imaging of the GFP-nanos1-3'UTR mRNA reporter. In vitro and in vivo evidence indicated that a microRNA, miR-430 could repress the C1q-like expression and PGC development. These data suggest that C1q-like should be a direct target of miR-430 and play an essential role in PGC development of Carassius auratus.
Distributed power control for multiuser cognitive radio networks with quality of service and interference temperature constraints

One of the most challenging problems in dynamic resource allocation for cognitive radio networks is to adjust transmission power of secondary users SUs while quality of service needs of both SUs and primary users PUs are guaranteed. Most power control algorithms only consider interference temperature constraint in single user scenario while ignoring the interference from PUs to SUs and minimum signal to interference plus noise ratio SINR requirement of SUs. In this paper, a distributed power control algorithm without user cooperation is proposed for multiuser underlay CNRs. Specifically, we focus on maximizing total throughput of SUs subject to both maximum allowable transmission power constraint and SINR constraint, as well as interference temperature constraint. To reduce the burden of information exchange and computational complexity, an average interference constraint is proposed. Parameter range and convergence analysis are given for feasible solutions. The resource allocation is transformed into a convex optimization problem, which is solved by using Lagrange dual method. In computer simulations, the effectiveness of our proposed scheme is shown by comparing with distributed constrained power control algorithm and Nash bargaining power control game algorithm. Copyright © 2014 John Wiley & Sons, Ltd.
3D nanorobotic manipulation of nano-order objects inside SEM

3D nanomanipulations of nano-order objects are realized with a 10-DOF nanorobotic manipulator, which is actuated with PZTs and Picomotors and operated inside a SEM. The coarse linear resolutions of the manipulator are better than 30 nm (X, Y, Z stages actuated by Picomotors) and the rotary one 2 mrad, while the resolutions of fine motions (actuated by PZTs) are within nano-order. AFM cantilevers are used as the end-effecters. Several kinds of manipulations are performed with the assistance of dielectrophoresis and van der Waals forces. Pick-and-place of a /spl phi/1 /spl mu/m polystyrene bead shows the effectiveness of dielectrophoresis. To show the manipulation accuracy, several letters are "written" with polystyrene /spl phi/3 /spl mu/m and /spl phi/1 /spl mu/m beads. 3D manipulations of multiwall carbon nanotubes are performed including picking up and bending single ones.
Nuf2 is required for chromosome segregation during mouse oocyte meiotic maturation

Nuf2 plays an important role in kinetochore-microtubule attachment and thus is involved in regulation of the spindle assembly checkpoint in mitosis. In this study, we examined the localization and function of Nuf2 during mouse oocyte meiotic maturation. Myc6-Nuf2 mRNA injection and immunofluorescent staining showed that Nuf2 localized to kinetochores from germinal vesicle breakdown to metaphase I stages, while it disappeared from the kinetochores at the anaphase I stage, but relocated to kinetochores at the MII stage. Overexpression of Nuf2 caused defective spindles, misaligned chromosomes, and activated spindle assembly checkpoint, and thus inhibited chromosome segregation and metaphase-anaphase transition in oocyte meiosis. Conversely, precocious polar body extrusion was observed in the presence of misaligned chromosomes and abnormal spindle formation in Nuf2 knock-down oocytes, causing aneuploidy. Our data suggest that Nuf2 is a critical regulator of meiotic cell cycle progression in mammalian oocytes.
The genomic psychiatry cohort: Partners in discovery

The Genomic Psychiatry Cohort (GPC) is a longitudinal resource designed to provide the necessary population‐based sample for large‐scale genomic studies, studies focusing on Research Domain Criteria (RDoC) and/or other alternate phenotype constructs, clinical and interventional studies, nested case–control studies, long‐term disease course studies, and genomic variant‐to‐phenotype studies. We provide and will continue to encourage access to the GPC as an international resource. DNA and other biological samples and diagnostic data are available through the National Institute of Mental Health (NIMH) Repository. After appropriate review and approval by an advisory board, investigators are able to collaborate in, propose, and co‐lead studies involving cohort participants. © 2013 Wiley Periodicals, Inc.
Convolutional factor analysis inspired compressive sensing

We solve the compressive sensing problem via convolutional factor analysis, where the convolutional dictionaries are learned in situ from the compressed measurements. An alternating direction method of multipliers (ADMM) paradigm for compressive sensing inversion based on convolutional factor analysis is developed. The proposed algorithm provides reconstructed images as well as features, which can be directly used for recognition (e.g., classification) tasks. We demonstrate that using ∼ 30% (relative to pixel numbers) compressed measurements, the proposed model achieves the classification accuracy comparable to the original data on MNIST.