Miracle-dz/UniFAR-FTUs huggingface dataset:
Living with a functioning kidney transplant at 74 yr or older: a national epidemiological study

Abstract: The number of older patients living with a functioning kidney graft is increasing. However the safety of the immunosuppressive treatment and quality of life in this population have not yet been determined. All patients grafted in France since 1969, born before the January 1 1926 and living with a functioning graft on January 1 2000 were included in this national study including all 34 French transplant centers. Renal function, immunosuppressive treatment, comorbid conditions and quality of life were assessed. From the initial population of 446 patients, 113 (26.2%) were still alive in 2000 (study population). Mean age was 76 yr (range: 74–80) with a mean post‐transplant follow‐up of 9.9 yr (0.1–28.7). Average serum creatinine level was 129 μmol/L (55–286). Immunosuppression was heterogeneous and included triple therapy (18.6%), dual therapy (41.6%) and monotherapy (40.8%). A history of cancer was noted in 36 of the 113 patients (32.1%) whereas hypertension was the most frequent co‐morbid condition (80.3%). Estimated quality of life using the Karnofsky scale was between 80 and 100 in 78.4% of the patients. The immunosuppressive regimen in older renal transplant recipients living with a functioning graft varied widely among the 34 French transplant centers. Renal function in this group of patients was good and quality of life seemed excellent. Cardiovascular disease and malignancies were the main co‐morbid conditions.
Mobility of Pangea: Implications for Late Paleozoic and Early Mesozoic paleoclimate

Several recent analyses of paleomagnetic data support the concept of Pangea, an assemblage of most of the world’s continents that was mobile in terms of large-scale internal deformation and with respect to paleolatitude. The main feature of internal deformation involved the transformation from a Pangea B–type configuration in the late Paleozoic, with northwestern South America adjacent to eastern North America, to a more traditional Pangea A–type configuration in the early Mesozoic, with northwestern Africa adjacent to eastern North America. Pangea B thus seems to coincide in time with extensive low-latitude coal deposition and high southern-latitude Gondwana glaciations, whereas Pangea A coincides with generally drier conditions over the continents and no polar ice sheets. Although the configuration of Pangea may have been more stable as an A-type configuration in the Early and Middle Jurassic prior to breakup, the paleomagnetic evidence suggests that there was appreciable latitudinal change of the assembly. Such changing tectonic boundary conditions emphasize the practical importance of age registry of paleoclimate data in making valid comparisons with model results. A simple zonal climate model coupled with the geocentric axial dipole hypothesis for establishing paleolatitudes in precisely controlled paleogeographic reconstructions can explain many of the climate patterns in both
Growth of SnO2 nanosheets on mesoporous SiC nanofibers for enhanced photocatalytic H2 evolution

Solar-driven photocatalytic water splitting to produce hydrogen (H<sub>2</sub>) as the future energy has triggered considerable interests. In this paper, we report the growth of ultrathin SnO<sub>2</sub> nanosheets (SnO<sub>2</sub> NSs) on mesoporous SiC nanofibers (SiC NFs) forming a core-shell hierarchical architecture via a simple hydrothermal method. Without noble metal as co-catalyst, the hydrogen evolution efficiency of SnO<sub>2</sub> NSs/SiC NFs is 471.8 μmol g<sup>-1</sup> h<sup>-1</sup> under simulated solar light, which is 3 times higher than that of pure SnO<sub>2</sub> NSs. The hierarchical architecture and synergetic effect of the SnO<sub>2</sub>-SiC heterojunction as well as plenty of active sites from the ultrathin SnO<sub>2</sub> NSs play critical roles for the superior photocatalytic performance.
Costs Effectiveness of Domestic Violence Screening in Primary Care Settings: A Comparison of 3 Methods

Purpose: To compare the cost effectiveness of brief domestic violence (DV) screening tools used in three screening protocols: self-administered, medical staff interview, and physician interview. Methods: We conducted secondary analyses of data collected at 4 urban primary care settings during July 2004 through June 2005. The primary study was a randomized trial of 523 female patients who were assigned to 1 of the 3 screening protocols. Inclusion criteria were women aged 18 or older and currently involved with a partner. Each screening protocol included two brief DV screening tools, HITS and WAST-Short. Patients completed a post-screening survey to assess time spent screening. Data on provider salaries and training costs were also collected. Outcome measures were the costs to have one DV disclosure for each screening protocol. Sensitivity analyses were conducted to assess the robustness of the cost analysis. Results: With an overall disclosure rate of 14%, no difference was found among the three protocols. Costs for one DV disclosure by screening protocol were $9.98 for the self-administered, $15.46 for the medical staff interview, and $62.03 for the physician interview. For each protocol, increases in disclosure rates, proportion of patients screened, or screening frequency might reduce the average costs of screening. Conclusions: Patient self-administered disclosure of DV is less costly compared with provider interview. In terms of costs, this study supports routine or universal DV screening in primary care settings.
Further clinical delineation of the Börjeson–Forssman–Lehmann syndrome in patients with PHF6 mutations

Börjeson–Forssman–Lehmann syndrome is an X‐linked condition caused by PHF6 mutations. The classical description of males with this disorder includes severe intellectual disability with epilepsy, microcephaly, short stature, obesity, hypogonadism, and gynecomastia. We present three males with PHF6 mutations whose features included deep‐set eyes, large ears, coarse face, tapering fingers, and truncal obesity. Unlike the original description of the syndrome; however, the males described herein had varying degrees of intellectual disability and hypogonadism, were of normal to tall stature, had normal to large head sizes, and did not have seizures. This departure from the usual clinical description of Börjeson–Forssman–Lehmann syndrome is consistent with recent reports of males with mutations in PHF6. In addition, we describe the phenotype and X‐inactivation pattern in two females heterozygous for PHF6 mutations, both of whom have mild features of the syndrome. © 2009 Wiley‐Liss, Inc.
An analytical model for evaluating interrupt-driven system performance of Gigabit Ethernet hosts with finite buffer

A novel analytical model based on Markov processes is developed to study the impact of interrupt overhead on operating system performance of network hosts such as PC-based routers, servers, and end hosts 'when subjected to Gigabit network traffic. Under heavy network traffic, the system performance will be negatively affected due to interrupt overhead caused by incoming traffic. In particular, excessive latency and significant degradation in system throughput can be experienced. Also, user applications may livelock as the CPU power is mostly consumed by interrupt handling and protocol processing. In this paper, we present an analytical model to evaluate system performance. The system performance is studied in terms of throughput, latency, stability condition, CPU utilizations of interrupt handling and protocol processing, and CPU availability for user applications. The analysis can be instrumental in choosing system design parameters offline, therefore allows capacity planning and system diagnosis. Analytical results are compared with the ideal limited buffer queueing system without interrupt overhead.
Optimizing the number of samples for multi-channel spectrum sensing

Spectrum sensing in cognitive radio technology consumes a significant amount of time and energy resources. Thus, it has a direct effect on the achievable throughput and consumed energy. In case of multi-channel systems, the problem becomes more effective since both the resources expenditure and the performance influence of spectrum sensing increase. Considering energy detection as the spectrum sensing method, a number of energy samples should be collected from each channel. Unlike the conventional scheme, the number of samples collected from each channel should be different due to the variant channel conditions. In this paper, the number of samples collected from each channel is optimized based on different setups, namely, throughput maximization setup, interference minimization setup, and sensing energy minimization setup.
The Combined Influence of SiC and Rare‐Earth Oxides Doping on Superconducting Properties of MgB2 Wires

Ti-sheathed MgB2 wires doped with different amount of nanosized rare-earth oxide (Yb2O3, Gd2O3, and Dy2O3) and/or nanosized SiC were investigated. X-ray diffraction patterns suggested the existence of Mg2Si phase due to the SiC addition, while no any phase related to rare-earth oxide could be detected. Strong enhancement of in-field current carrying capability was observed on 2.5 wt. % Yb2O3 doped sample annealed at 800 C. Dual doping with rare-earth oxide and SiC does not enhance JC due to the negative effect caused by SiC addition.
Standardization as open innovation: two cases from the mobile industry

Purpose – The purpose of the paper is to introduce standardization as a neutral arena for open innovation. The aim is to show that different policies towards open membership in standardization initiatives lead to different open innovation processes.Design/methodology/approach – Two cases are used to illustrate the differences in open innovation processes. The cases are the Android mobile operating system and the service platform developed by the Open Mobile Alliance. The core process types introduced by Gassmann and Enkel are used to show the different open innovation approaches.Findings – Both cases use open innovation to create standards. Open membership leads to a coupled process, while a more restricted membership gives separate inside‐out and outside‐in processes. The case lead by established firms in the industry has a process where radical innovations are introduced early in the process, while the case lead by newcomers has a process where radical innovations are introduced late in the process. The.
The Epidemiology of Delirium in the Community: The Eastern Baltimore Mental Health Survey

The 1981 East Baltimore Mental Health Survey, part of the Epidemiological Catchment Area (ECA) program, provided data for the examination of the prevalence of delirium in the general adult population. From an original 3,841 households surveyed, 810 individuals were selected for psychiatric evaluation and, of these, 6 individuals were diagnosed as suffering from delirium. The estimated prevalence of delirium in the population was . 4% and 1.1% among those 55 years of age and over. A comparison of these cases with cases of diagnosed dementia and individuals of the same age range who did not receive a psychiatric diagnosis found that those with a diagnosis of delirium suffer from a greater number of medical conditions, take more prescribed medications, and have a higher level of physical disability.
The No Slot Wasting Bandwidth Balancing Mechanism for Dual Bus Architectures

A bandwidth balancing (BWB) mechanism has been added to the distributed queueing algorithm of the distributed-queue dual bus (DQDB) network. BWB can provide the requested throughputs by lightly loaded stations and evenly distribute the remaining channel bandwidth among overloaded stations. However, its operation requires the wastage of channel slots. The authors introduce a new bandwidth balancing mechanism for DQDB. The operation of the new mechanism requires one additional bit in the access control field (ACF) of the slot but has the advantage of exhibiting a similar behavior with the current BWB mechanism of DQDB without wasting any channel slots. For this reason, it can converge faster to the steady state in which fair bandwidth allocation is achieved. The authors investigate the throughput and delay performance of the proposed mechanism under one traffic class and examine its capacity to support multiple priority classes of traffic. They also compare its performance with the corresponding performance of the BWB mechanism of DQDB. >
A Comprehensive Survey of Ontology Summarization: Measures and Methods

The Semantic Web is becoming a large scale framework that enables data to be published, shared, and reused in the form of ontologies. The ontology which is considered as basic building block of semantic web consists of two layers including data and schema layer. With the current exponential development of ontologies in both data size and complexity of schemas, ontology understanding which is playing an important role in different tasks such as ontology engineering, ontology learning, etc., is becoming more difficult. Ontology summarization as a way to distill knowledge from an ontology and generate an abridge version to facilitate a better understanding is getting more attention recently. There are various approaches available for ontology summarization which are focusing on different measures in order to produce a proper summary for a given ontology. In this paper, we mainly focus on the common metrics which are using for ontology summarization and meet the state-of-the-art in ontology summarization.
On the elastic deformation of symmetric periodic structures

shown that the components of the displacement satisfy either Neumann or Dirichlet conditions on the sides of the cell of periodicity parallel with the symmetry plane. We also prove that the corresponding homogenized material is monocyclic with respect to this plane. The proof for the general case is based on variational and weak formulations of the elasticity problem. For the special case of plates with a square array of holes or perfectly-bonded inclusions we present an independent proof based on Kolosov–Muskhelishvili analytic potentials. In computational practice the derived boundary conditions permit us to easily incorporate the periodic boundaryvalue problem into standard numerical schemes.
Efficient Apprenticeship Learning with Smart Humans

This report describes a generalized apprenticeship learning protocol for reinforcement-learning agents with access to a teacher. The teacher interacts with the agent by providing policy traces (transition and reward observations). We characterize sufficient conditions of the underlying models for efficient apprenticeship learning and link this criteria to two established learnability classes (KWIK and Mistake Bound). We demonstrate our approach in a conjunctive learning task that would be too slow to learn in the autonomous setting. We show that the agent can guarantee near-optimal performance with only a polynomial number of examples from a human teacher and can efficiently learn in real world environments with sensor imprecision and
Adaptive Low-Rank Multi-Label Active Learning for Image Classification

Multi-label active learning for image classification has attracted great attention over recent years and a lot of relevant works are published continuously. However, there still remain some problems that need to be solved, such as existing multi-label active learning algorithms do not reflect on the cleanness of sample data and their ways on label correlation mining are defective. For one thing, sample data is usually contaminated in reality, which disturbs the estimation of data distribution and further hinders the model training. For another, previous approaches for label relationship exploration are purely based on the observed label distribution of an incomplete training set, which cannot provide sufficiently efficient information. To address these issues, we propose a novel adaptive low-rank multi-label active learning algorithm, called LRMAL. Specifically, we first use low-rank matrix recovery to learn an effective low-rank feature representation from the noisy data. In a subsequent sampling phase, we make use of its superiorities to evaluate the general informativeness of each unlabeled example-label pair. Based on an intrinsic mapping relation between the example space and the label space of a certain multi-label dataset, we recover the incomplete labels of a training set for a more comprehensive label correlation mining. Furthermore, to reduce the redundancy among the selected example-label pairs, we use a diversity measurement to diversify the sampled data. Finally, an effective sampling strategy is developed by integrating these two aspects of potential information with uncertainty based on an adaptive integration scheme. Experimental results demonstrate the effectiveness of our approach.
Failure Avoidance in MPI Applications Using an Application-Level Approach

Execution times of large-scale computational science and engineering parallel applications are usually longer than the mean-time-between-failures (MTBF). For this reason, hardware failures must be tolerated by the applications to ensure that not all computation done is lost on machine failures. Checkpointing and rollback recovery is one of the most popular techniques to provide fault tolerance support to parallel applications. However, when a failure occurs, most checkpointing mechanisms require a complete restart of the parallel application from the last checkpoint. New advances in prediction of hardware failures have led to the development of proactive process migration approaches, where tasks are migrated in a preventive way when node failures are anticipated, avoiding the restart of the whole application. The work presented in this paper extends an application level checkpointing framework to proactively migrate MPI processes when impending failures are notiﬁed, without having to restart the entire application. The main features of the proposed solution are: low overhead in failure-free executions, avoiding the checkpoint dumping associated to rolling back strategies; low overhead at migration time, by means of the design of a light and asynchronous protocol to achieve a consistent global state; transparency for the user, thanks to the use of a compiler tool and a runtime library; and portability, since it is not locked into a particular architecture, operating system or MPI implementation.
Modeling of the Toll-like receptor 3 and a putative Toll-like receptor 3 antagonist encoded by the African swine fever virus

African swine fever virus (ASFV) is a large double‐stranded DNA virus responsible for a lethal pig disease, to which no vaccine has ever been obtained. Its genome encodes a number of proteins involved in virus survival and transmission in its hosts, in particular proteins that inhibit signaling pathways in infected macrophages and, thus, interfere with the host's innate immune response. A recently identified novel ASFV viral protein (pI329L) was found to inhibit the Toll‐like receptor 3 (TLR3) signaling pathway, TLR3 being a crucial “danger detector. ” pI329L has been predicted to be a transmembrane protein containing extracellular putative leucine‐rich repeats similar to TLR3, suggesting that pI329L might act as a TLR3 decoy. To explore this idea, we used comparative modeling and other structure prediction protocols to propose (a) a model for the TLR3–Toll‐interleukin‐1 receptor homodimer and (b) a structural fold for pI329L, detailed at atomistic level for its cytoplasmic domain. As this later domain shares only remote sequence relationships with the available TLR3 templates, a more complex modeling strategy was employed that combines the iterative implementation of (multi)threading/assembly/refinement (I‐TASSER) structural prediction with expertise‐guided posterior refinement. The final pI329L model presents a plausible fold, good structural quality, is consistent with the available experimental data, and it corroborates our hypothesis of pI329L being a TLR3 antagonist.
Effect of the steroidal androgen receptor antagonist win 49,596 on steroid‐induced benign prostatic hyperplasia in the castrate beagle dog

The effects of the steroidal androgen receptor antagonist Win 49,596 on steroid‐induced prostatic growth, histomorphology, and secretory function were studied in the castrate male beagle dog. At oral doses ranging from 0.625 to 40 mg/kg/day for 12 weeks, Win 49,596 inhibited prostatic growth in terms of both weight and total DNA in a dose‐dependent manner. In addition, both the incidence and severity of diffuse glandular hyperplasia/hypertrophy were dose‐dependently inhibited by Win 49,596, resulting in diffuse glandular atrophy. Prostatic secretory function was also inhibited by Win 49,596 treatment. The effects of Win 49,596 at a dosage of 40 mg/kg/day were similar to that observed for the nonsteroidal androgen receptor antagonist flutamide at 10 mg/kg/day. Oral administration of Win 49,596 to castrate dogs at a dosage of 40 mg/kg/day for 12 weeks failed to produce any evidence of agonist activity. These results demonstrate that Win 49,596 prevented the experimental induction of benign prostatic hyperplasia in dogs and suggest that on further evaluation this compound may be efficacious in the treatment of the numan disease.
Reducing Energy Consumption in Wired OpenFlow-Based Networks

Due to the proliferation of mobile devices such as smart phones and tablet computers, and increase in the speed of network devices to forward data, the Internet traffic has increased manyfold compare to a decade ago. Energy consumed by network devices handling the network traffic has increased manyfold also. Researchers are not only focusing on battery oriented network such as wireless sensor and ad hoc networks on saving battery power to extend network life but are also focusing on wired network to save energy consumed by network devices. Energy consumed by wired network can be reduced by putting underutilized network devices or links to sleep. If a network device has a few links such as a backbone network device, it is better to consider underutilized device to put to sleep, but if a network device has many links such as in data centers network devices and campus networks devices, it is better to consider underutilized links to put to sleep. In this paper, we consider putting underutilized links to sleep. Off course, if all links of a network device are put to sleep, the device itself will be put to sleep. Furthermore, in this paper we consider OpenFlow-based network as it is software defined network and flexible to control network devices. Besides, OpenFlow is being standardized by big enterprises such as NEC, Google, Cisco, Microsoft etc. We evaluated our approach by simulation and compare it with node based approach to see its effectiveness.
Compact dual-polarized slot UWB antenna with CPW-fed structure

A novel dual-polarized coplanar waveguide (CPW)-fed right-angled triangle slot antenna for UWB (3.1-10.6 GHz) applications is proposed in this paper. The antenna built on a printed circuit board (PCB) consists of two right-angled triangle radiating elements with two feeding ports. It has a compact size of 56*56 mm2. In order to improve the performance in both of the bandwidth and isolation, two methods are used. The simulated results show that across the 3-10.8 GHz, the presented antenna can achieve a broad impedance bandwidth with good performance in terms of isolation of <;-20 dB. The correlation coefficient between the radiation patterns shows consistent diversity performance across the entire UWB bandwidth. These features make the proposed antenna very attractive for portable UWB Multiple-input multiple-output (MIMO) applications.