Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation and morphological and optical characterization of azo-polymer-based SiO2 sonogel hybrid composites

The well-established catalyst-free sonogel route was successfully implemented to fabricate highly pure, optically active, solid state polymeric azo- dye/SiO2-based hybrid composites. Bulk samples exhibit controllable geometrical shapes and monolithic structure with variable dopant concentrations. Since the implemented azo-dye chromophores exhibit a push–pull structure, hybrid film samples were spin-coated on ITO-covered glass substrates; molecular alignment was then performed via electrical poling in order to explore the quadratic nonlinear optical performance of this kind of composite. Comprehensive morphological, spectroscopic and optical characterization of the samples were performed with several experimental techniques: atomic force microscopy, x-ray diffraction and infrared, Raman, photoluminescent and ultraviolet–visible spectroscopies. The linear refractive indices of both bulk and thin film samples were measured according to the Brewster angle technique and a numerical analysis of the transmission spectral data, respectively. Regardless of the low glass transition temperatures of the studied polymers, some hybrid film samples were able to display stable nonlinear optical activity such as second harmonic generation. Results show that the chromophores were satisfactorily embedded into the highly pure SiO2 sonogel network without significant guest–host molecular interactions, thus preserving their optical properties and producing sol–gel hybrid glasses suitable for optical applications.
APPLICATION OF HAAR WAVELETS IN SOLVING NONLINEAR FRACTIONAL FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS

A novel and eective method based on Haar wavelets and Block Pulse Functions (BPFs) is proposed to solve nonlinear Fredholm integro-dierenti al equations of fractional order. The operational matrix of Haar wavelets via BPFs is derived and together with Haar wavelet operational matrix of fractional integration are used to transform the mentioned equation to a system of algebraic equations. Our new method is based on this matrix and the vector forms for representation of Haar wavelets. In addition, an error and convergence analysis of the Haar- approximation is discussed. Since this approach does not need any integration, all calculations would be easily implemented, and it has several advantages in reducing the computational burden. Some examples are included to demonstrate the validity and applicability of the technique.
Analysis of the Environmental Benefits of Organic Agriculture

Environmental protection has draw the attention of the world with the today's environmental pollution increasingly serious, organic agriculture as a new agricultural development model which has less impact on the environment and sustainable development had rapidly developed and promoted in the word. This article mainly analyses and evaluates the advantages and benefits of organic agriculture in environmental protection, to demonstrate their environmental characteristics, and fully affirmed the contribution of organic agriculture in terms of environmental protection so that to provide a reference for the development of organic agriculture.
Targeted Silencing of S100A8 Gene by miR-24 to Increase Chemotherapy Sensitivity of Endometrial Carcinoma Cells to Paclitaxel

Background The objective of this study was to determine whether miR-24 can regulate malignant proliferation and chemotherapy sensitivity of EC cells by targeted silencing of the S100 Calcium Binding Protein A8 (S100A8) gene. Material/Methods The expression of miR-24 in EC tissues was detected by quantitative real-time PCR. The proliferation ability and chemotherapy sensitivity were analyzed by MTT assay. Bioinformatics software was used to predict some potential target genes of miR-24. Luciferase activity assay was used to verify the relationship between target genes and miR-24. S100A8 protein expression was detected by Western blot analysis. Results The low expression of miR-24 in EC tissues compared with normal control tissues suggests miR-24 might play a role in tumorigenesis of EC. EC HEC-1A cells were transfected with miR-24 agonist (agomiR-24) to up-regulate the expression of miR-24. Up-regulation of miR-24 inhibited the cell proliferation and advanced the chemotherapy sensitivity to paclitaxel in HEC-1A cells significantly. We used several types of bioinformatic software to predict that miR-24 could specifically combine with the 3′ untranslated region (3′UTR) of the S100A8 gene, and this prediction was verified by Western blot and luciferase activities assay. The regulation effects of miR-24 enhancement on cell proliferation and chemotherapy sensitivity were largely reversed by S100A8 up-regulation. Conclusions miR-24 acts as a tumor-suppressing gene to inhibit malignant proliferation and advance chemotherapy sensitivity to paclitaxel in EC by targeted silencing of the S100A8 gene.
Evaluation of Impact Shear Strength of Adhesive Joints with the Split Hopkinson Bar.

The shear strength of adhesive joints at high loading rates is evaluated with the split Hopkinson bar technique using a pin-and-collar specimen. A commercially available cyanoacrylate adhesive(commonly termed an instantaneous adhesive)and two different adherend materials are used in the tests. The impact shear strength of the cyanoacrylate adhesive joints is determined from the applied shear stress history at failure initiation. Comparative shear tests at low loading rates are carried out on an Instron testing machine. The influences of loading rate, thickness of adhesive layer, and adherend materials on the shear strength of the cyanoacrylate adhesive joints are examined. The test results indicate that the shear strength increases significantly with increasing loading rate, and is greatly affected by both the adhesive layer thickness and adherend materials. It is shown that the shear strength increases to a maximum at an adhesive layer thickness of about 25 μm and subsequently decreases. The advantages and limitations of the technique are also discussed.
Goodreads: A social network site for book readers

Goodreads is an Amazon‐owned book‐based social web site for members to share books, read, review books, rate books, and connect with other readers. Goodreads has tens of millions of book reviews, recommendations, and ratings that may help librarians and readers to select relevant books. This article describes a first investigation of the properties of Goodreads users, using a random sample of 50,000 members. The results suggest that about three quarters of members with a public profile are female, and that there is little difference between male and female users in patterns of behavior, except for females registering more books and rating them less positively. Goodreads librarians and super‐users engage extensively with most features of the site. The absence of strong correlations between book‐based and social usage statistics (e.g., numbers of friends, followers, books, reviews, and ratings) suggests that members choose their own individual balance of social and book activities and rarely ignore one at the expense of the other. Goodreads is therefore neither primarily a book‐based website nor primarily a social network site but is a genuine hybrid, social navigation site.
Features of a successful therapeutic fast of 382 days' duration

A 27-year-old male patient fasted under supervision for 382 days and has subsequently maintained his normal weight. Blood glucose concentrations around 30 mg/100 ml were recorded consistently during the last 8 months, although the patient was ambulant and attending as an out-patient. Responses to glucose and tolbutamide tolerance tests remained normal. The hyperglycaemic response to glucagon was reduced and latterly absent, but promptly returned to normal during carbohydrate refeeding. After an initial decrease was corrected, plasma potassium levels remained normal without supplementation. A temporary period of hypercalcaemia occurred towards the end of the fast. Decreased plasma magnesium concentrations were a consistent feature from the first month onwards. After 100 days of fasting there was a marked and persistent increase in the excretion of urinary cations and inorganic phosphate, which until then had been minimal. These increases may be due to dissolution of excessive soft tissue and skeletal mass. Prolonged fasting in this patient had no ill-effects.
Automatic optimal grasp planning based on found contact points

Automatic grasp planning systems are very important for service robots, which compute what forces should be exerted onto the object and how those forces can be applied by robotic hands. In this paper, a highly integrated grasp planning system is introduced. Initial grasp is computed in the grasp simulator GraspIt! combining hand preshapes and automatically generated approach directions. With fixed relative position and orientation between the robotic hand and object as by the initial grasp, all the contact points between the fingers and the object are efficiently found. A search process tries to improve the grasp quality by moving the fingers to its neighbored joint positions, and uses the corresponding contact points to the joint position to evaluate the grasp quality, until local maximum grasp quality is reached. Optimal forces for the found grasp is computed as a linear inequalities matrix problem, which are exerted onto the object using torque based finger impedance control during execution. Experiments on Schunk Anthropomorphic Hand with 13 degrees of freedom show that, using the introduced grasp planning system, the object can be grasped solidly with shift errors of only some millimeters.
A multiagent approach to automatic restoration of distribution network

This paper proposes an application of multiagent systems to automatic restoration of distribution network. The system proposed consists of three types of agents: Device Agent, Feeder Agent and Substation Agent. The Device Agents are associated with equipment installed on the grid, the Feeder Agents are responsible to manage the feeders and Substation Agents are responsible to manage the substations. The behavior of agents is presented to a condition of automatic restoration of a distribution network subjected on fault condition. The approach using multiagent indicates that the proposed system is able to locate the fault, isolate and restore the system, considering operating limits and uncoordinated system protection.
LVMCI: Efficient and Effective VM Live Migration Selection Scheme in Virtualized Data Centers

Virtualization can provide significant benefits in virtualized data centers by enabling efficient and effective live migration to ensure service level agreement(SLA). Most of existing studies make decision on which bad virtual machines (VMs) should be migrated to which appropriate physical machines (PMs) in terms of resource utilizations. However, migration actions may degrade migrated application performance due to extra CPU and bandwidth consumptions. Furthermore, negative performance interferences amongst applications scheduled to the same PM may arise given the poor performance isolations of VMs on a PM. We design and implement a VM migration selection system with less migration costs and application performance interferences, called LVMCI (Live Virtual machine Migration with less Costs and application Interference). We propose a migration cost evaluation model to analyze quantitatively the aspects (i.e. throughput and response latency) of application performance degradation. Dirty rate and frequent dirty rate are two key factors that affect iteration time and downtime. We implement a tool that measures these parameters before VMs are migrated. We distinguish the performance degradation of migrated applications caused by memory iteration phase and stop-and-copy phase, which helps to select VM migrated. Besides that, we propose a performance interference model which helps to select the destination PM. The experimental results show that our system can estimate memory iteration time and downtime with high accuracy, and ensures a high level of SLAs by minimizing performance degradation during migration process and performance interference among co-located VMs at the destination PM.
Agent-oriented Requirements Modelling

We describe how reconstructing requirements specification using agents and UML helps to build a hierarchy of requirements knowledge which can then be transformed into a running agent system. With agents as the division units for organising functional requirements structurally, the relationship between different pieces of the requirements document appears more obvious and, checks for completeness and consistency are easier to perform. The approach has four steps: i) Goal Mapping, where we relate functional requirements to system goals; ii) Structural Modelling, where agents are identified and rules for these agents are specified; iii) Behavioural Modelling, where the business processes are documented in UML and XML, aiming at realising the system goals by participating agents; iv) Implementation, where a running agent system is automatically generated from the transformed requirements document. We illustrate the approach and its tool support using a real life case study. Using the knowledge from this, we discuss and evaluate the approach.
Congestion Control for Scalability in Bufferless On-Chip Networks

In this paper, we present network-on-chip (NoC) design and contrast it to traditional network design, highlighting both similarities and differences between NoCs and traditional networks. As an initial case study, we examine network congestion in bufferless NoCs. We show that congestion manifests itself differently in a NoC than in a traditional network. This both reduces system throughput in congested workloads for smaller NoC sizes (16 and 64 nodes), and limits the scalability of the bufferless NoC in larger configurations (256 to 4096 nodes) even when data is mapped with locality in mind. We propose a source throttling-based congestion control mechanism with application-level awareness. This mechanism improves system performance by up to 28% (15% on average in congested workloads) in smaller NoCs, and achieves linear throughput scaling in NoCs up to 4096 cores. Thus, we show an effective application of a network-level concept, congestion control, to a class of networks ‐ bufferless on-chip networks ‐ that has not been studied before by the networking community.
Excellent Switching Uniformity of Cu-Doped $\hbox{MoO}_{x}/\hbox{GdO}_{x}$  Bilayer for Nonvolatile Memory Applications

We have investigated a Cu-doped MoO<sub>x</sub>/GdO<sub>x</sub> bilayer film for nonvolatile memory applications. By adopting an ultrathin GdO<sub>x</sub> layer, we obtained excellent device characteristics such as resistance ratio of three orders of magnitude, uniform distribution of set and reset voltages, switching endurance up to 10<sup>4</sup> cycles, and ten years of data retention at 85degC. By adopting bilayer films of Cu-doped MoO<sub>x</sub>/GdO<sub>x</sub>, a local filament was formed by a two-step process. Improved memory characteristics can be explained by the formation of nanoscale local filament in the ultrathin GdO<sub>x</sub> layer.
Detrimental Effect of Prolonged Hypothermia in Cats and Monkeys With and Without Regional Cerebral Ischemia

In a previous study occlusion of a middle cerebral artery (MCA) followed by 48 h of hypothermia (29°) was lethal in 5 of 5 monkeys as compared to only 3 of 9 normothermic animals. The present study extended these observations in monkeys and cats with or without MCA occlusion. In monkeys MCA occlusion plus 48 h of hypothermia was consistently lethal. Without MCA occlusion 2 of 3 monkeys survived, but were comatose the first 12 h post-hypothermia. In normothermic cats, MCA occlusion was lethal in only one of 5 animals whereas hypothermia was lethal in 20 of 21 cats with or without MCA occlusion. The detrimental effects of hypothermia were not favorably influenced either by hemodilution or by deliberate alterations in PacOj. The effect of 48 h of hypothermia and rewarming on cerebral blood flow (CBF) and cerebral metabolites was evaluated in 6 normal monkeys. CBF was reduced 60 to 70 percent at 29°C and returned to only a maximum of 50 percent of control with re-warming. Prior to re-warming distribution of CBF was inhomogeneous. Cerebral metabolites were borderline normal prior to re-warming but energy stores decreased while lactate increased with re-warming.
Subpixel Land Cover Mapping by Integrating Spectral and Spatial Information of Remotely Sensed Imagery

Subpixel mapping (SPM) is a technique to predict spatial locations of land cover classes within mixed pixels in remotely sensed imagery. The two-step approach first estimates fraction images by spectral unmixing and then inputs fraction images into an SPM algorithm to generate the final subpixel land cover map. A shortcoming of this approach is that the information about the credibility of fraction images is not considered. In this letter, we proposed a general framework of SPM which is directly applied to original coarse resolution remotely sensed imagery by integrating spectral and spatial information. Based on the proposed framework, the linear unmixing model and the maximal spatial dependence model were combined to construct a novel SPM model aiming to minimize the least squares error of spectral signature and make the subpixel land cover map spatially smooth, simultaneously. By applying to an Airborne Visible/Infrared Imaging Spectrometer hyperspectral image, the proposed model was evaluated both visually and quantitatively by comparing it with hard classification and the two-step SPM approach. The results showed that the regularization parameter, which balances the influence of spectral and spatial terms, plays an important role on the solution. The L-curve approach was a reasonable method to select the regularization parameter, with which an increased accuracy of the proposed model was obtained.
Sparse representation classification based linear integration of ℓ1-norm and ℓ2-norm for robust face recognition

Sparse representation based classification (SRC) has been introduced as a new algorithm for face recognition classification instead of the classical gradient-based algorithms. However, there are some limitations that influence the robustness properties in SRC. One of the most effective parameters that impacts the SRC performance is the directory of training samples. It should contain enough samples to represent the test image with significant features that can achieve high classification rates. To overcome this limitation, we propose a new technique that utilizes SRC with least square and takes the advantages of regularization parameters with both ℓ1-norm for sparsity and ℓ2-norm for holding the correlation between the samples. By integrating ℓ1-norm and ℓ2-norm with regularized regression method, the SRC classifier improves the face recognition accuracy. The performance evaluation of the proposed algorithm is conducted on several publicly available databases and observed promising recognition rates compared to a set of state-of-the-art techniques.
Connectivity searchlight: A novel approach for MRI information mapping using multivariate connectivity

Brain mapping using magnetic resonance imaging (MRI) is traditionally performed using voxel-wise statistical hypothesis testing. Such mass-univariate approach ignores subtle spatial interactions. The searchlight method, in contrast, uses a multivariate predictive model in each local neighborhood in brain space-named the searchlight. The classification performance is then reported at the center of the searchlight to build an information map. We extend the searchlight technique to take into account additional voxels that can be considered as a meaningful network; i.e., we define a criterion of multivariate connectivity to identify voxels that are statistically dependent on those in searchlight. We coin the term “connectivity searchlight” for the extended searchlight. Using simulated data, we empirically show improved performance for brain regions with low signal-to-noise ratio and recovery of underlying network structures that would otherwise remain hidden. The proposed methodology is general and can be applied to both functional and structural data. We also demonstrate promising results on a well-known fMRI dataset where images of different categories are presented.
Trends in Incidence, Management, and Outcomes of Cardiogenic Shock Complicating ST‐Elevation Myocardial Infarction in the United States

Background Limited information is available on the contemporary and potentially changing trends in the incidence, management, and outcomes of cardiogenic shock complicating ST‐elevation myocardial infarction (STEMI). Methods and Results We queried the 2003–2010 Nationwide Inpatient Sample databases to identify all patients ≥40 years of age with STEMI and cardiogenic shock. Overall and age‐, sex‐, and race/ethnicity‐specific trends in incidence of cardiogenic shock, early mechanical revascularization, and intra‐aortic balloon pump use, and inhospital mortality were analyzed. From 2003 to 2010, among 1 990 486 patients aged ≥40 years with STEMI, 157 892 (7.9%) had cardiogenic shock. The overall incidence rate of cardiogenic shock in patients with STEMI increased from 6.5% in 2003 to 10.1% in 2010 (Ptrend<0.001). There was an increase in early mechanical revascularization (30.4% to 50.7%, Ptrend<0.001) and intra‐aortic balloon pump use (44.8% to 53.7%, Ptrend<0.001) in these patients over the 8‐year period. Inhospital mortality decreased significantly, from 44.6% to 33.8% (Ptrend<0.001; adjusted OR, 0.71; 95% CI, 0.68 to 0.75), whereas the average total hospital cost increased from $35 892 to $45 625 (Ptrend<0.001) during the study period. There was no change in the average length of stay (Ptrend=0.394). These temporal trends were similar in patients <75 and ≥75 years of age, men and women, and across each racial/ethnic group. Conclusions The incidence of cardiogenic shock complicating STEMI has increased during the past 8 years together with increased use of early mechanical revascularization and intra‐aortic balloon pumps. There has been a concomitant decrease in risk‐adjusted inhospital mortality, but an increase in total hospital costs during this period.
Who Am I? The Self/Subject According to Psychoanalytic Theory

The article argues that the importation into psychoanalytic theory of the terms “self” and “subject” is neither true to Freud’s intentions, nor necessary, nor helpful. Having observed how Freud undermined these concepts in both his Topographical Model and Structural Model, the article turns to the position of Ogden. Two of his contributions masterfully deconstruct the concept of “the subject” through a selection of positions advocated by Freud, Klein, and Winnicott. But he then revitalizes the concept in his own way, claiming it to be “central” and “irreducible. ” This article argues for a more radical stance than Ogden’s; whereas Ogden is reductionist with regard to the subject, this article argues for eliminativism.
Physiological PTEN expression in peripheral T-cell lymphoma not otherwise specified

Peripheral T-cell lymphomas not otherwise specified (PTCL/NOS) is the commonest subtype of PTCL. [1][1] This is a complex entity, characterized by great morphologic, immunophenotypic and clinical variability, whose molecular pathology is still largely unknown. [2][2] Recently, gene expression