Miracle-dz/UniFAR-FTUs huggingface dataset:
Type of Anesthesia and Differences in Clinical Outcome After Intra-Arterial Treatment for Ischemic Stroke

Background and Purpose— Intra-arterial treatment (IAT) in patients with acute ischemic stroke (AIS) can be performed with or without general anesthesia (GA). Previous studies suggested that IAT without the use of GA (non-GA) is associated with better clinical outcome. Nevertheless, no consensus exists about the anesthetic management during IAT of AIS patients. This study investigates the association between type of anesthesia and clinical outcome in a large cohort of patients with AIS treated with IAT. Methods— All consecutive patients with AIS of the anterior circulation who received IAT between 2002 and 2013 in 16 Dutch hospitals were included in the study. Primary outcome was functional outcome on the modified Rankin Scale at discharge. Difference in primary outcome between GA and non-GA was estimated using multiple ordinal regression analysis, adjusting for age, stroke severity, occlusion of the internal carotid artery terminus, previous stroke, atrial fibrillation, and diabetes mellitus. Results— Three hundred forty-eight patients were included in the analysis; 70 patients received GA and 278 patients did not receive GA. Non-GA was significantly associated with good clinical outcome (odds ratio 2.1, 95% confidence interval 1.02–4.31). After adjusting for prespecified prognostic factors, the point estimate remained similar; statistical significance, however, was lost (odds ratio 1.9, 95% confidence interval 0.89–4.24). Conclusions— Our study suggests that patients with AIS of the anterior circulation undergoing IAT without GA have a higher probability of good clinical outcome compared with patients treated with general anesthesia.
Using a wrist robot for evaluating how human operators learn to perform pointing movements to a rotating frame of reference

An investigation on how humans accomplish pointing movements under predictable rotation of the reference frame was performed. The main purpose of the research was to understand if combined external disturbances in the visual and kinaesthetic feedback may change the strategies used by the CNS (Central Nervous System) to compute motor errors during pointing. Thirteen subjects performed pointing tasks using a 3DOFs wrist mainipulator in a Virtual Reality environment (VR): kinaesthetic and visual perturbations were input by the wrist robot and the VR respectively, in a different combined fashion. Results showed humans strongly increase accuracy in pointing movements when both visual and kinaesthetic synchronized disturbances were applied to wrist robot and virtual reality. Trajectories' plots during the different target sets clearly showed straighter paths; these outcomes were validated and discussed by a kinematic analysis.
Empirically guided software development using metric-based classification trees

The identification of high-risk components early in the life cycle is addressed. A solution that casts this as a classification problem is examined. The proposed approach derives models of problematic components, based on their measurable attributes and those of their development processes. The models provide a basis for forecasting which components are likely to share the same high-risk properties, such as being error-prone or having a high development cost. Developers can use these classification techniques to localize the troublesome 20% of the system. The method for generating the models, called automatic generation of metric-based classification trees, uses metrics from previous releases or projects to identify components that are historically high-risk. <<ETX>>
Recognition of Alzheimer's disease: the 7 Minute Screen.

BACKGROUND AND OBJECTIVES Because Alzheimer's disease (AD) tends to be underdiagnosed, we developed a brief neurocognitive screening battery to identify AD patients. The 7 Minute Screen consists of four individual tests (orientation, memory, clock drawing, verbal fluency). The screen can be rapidly administered and scored and therefore may be appropriate for use in the primary care setting. This study determined the validity and reliability of the 7 Minute Screen in distinguishing patients with AD from healthy controls. METHODS The 7 Minute Screen was administered to 60 consecutive referrals to a memory disorders clinic who were subsequently diagnosed with probable AD and to 60 community-dwelling individuals. Analysis of the combined scores on the four individual tests was used to determine the probability of dementia in each subject. We also evaluated test-retest and inter-rater reliability, as well as the time required to administer the battery. RESULTS When compared with the normal subjects, the patients with AD were significantly more impaired on each of the four tests included in the 7 Minute Screen. When the four tests were combined into a logistic regression model, the battery correctly diagnosed 92% of the patients with AD and 96% of the normal subjects. The battery performed equally well when only patients with mild and very mild AD were included. Mean time for administration and scoring was 7 minutes 42 seconds. CONCLUSIONS The 7 Minute Screen is a reliable and valid instrument for identifying patients with AD. It appears to be a potentially useful tool for identifying patients with AD in a primary care setting.
Aerial grasping of cylindrical object using visual servoing based on stochastic model predictive control

This paper concentrates on design of a vision-based guidance command for aerial manipulation of a cylindrical object, using a stochastic model predictive approach. We first develop an image-based cylinder detection algorithm that utilizes a geometric characteristic of perspectively projected circles in 3D space. To enforce the object to be located inside sight of a camera, we formulate a visual servoing problem as a stochastic model predictive control (MPC) framework. By regarding x and y axes rotational velocities as stochastic variables, we guarantee the visibility of the camera considering underactuation of the system. We also provide experimental results that validate effectiveness of the proposed algorithm.
Antimicrobial Disk Susceptibility Testing of Leptospira spp. Using Leptospira Vanaporn Wuthiekanun (LVW) Agar

Leptospira Vanaporn Wuthiekanun (LVW) agar was used to develop a disk diffusion assay for Leptospira spp. Ten pathogenic Leptospira isolates were tested, all of which were susceptible to 17 antimicrobial agents (amoxicillin/clavulanic acid, amoxicillin, azithromycin, cefoxitin, ceftazidime, ceftriaxone, chloramphenicol, ciprofloxacin, clindamycin, doripenem, doxycycline, gentamicin, linezolid, nitrofurantoin, penicillin, piperacillin/tazobactam, and tetracycline). All 10 isolates had no zone of growth inhibition for four antimicrobials (fosfomycin, nalidixic acid, rifampicin, and trimethoprim/sulfamethoxazole). Of the ten Leptospira, seven had a growth inhibition zone of ≤ 21 mm for aztreonam, the zone diameter susceptibility break point for Enterobacteriaceae. This assay could find utility as a simple screening method during the epidemiological surveillance of antimicrobial resistance in Leptospira spp.
A New ADS-B Authentication Framework Based on Efficient Hierarchical Identity-Based Signature with Batch Verification

Automatic dependent surveillance-broadcast (ADS-B) has become a crucial part of next generation air traffic surveillance technology and will be mandatorily deployed for most of the airspaces worldwide by 2020. Each aircraft equipped with an ADS-B device keeps broadcasting plaintext messages to other aircraft and the ground station controllers once or twice per second. The lack of security measures in ADS-B systems makes it susceptible to different attacks. Among the various security issues, we investigate the integrity and authenticity of ADS-B messages. We propose a new framework for providing ADS-B with authentication based on three-level hierarchical identity-based signature (HIBS) with batch verification. Previous signature-based ADS-B authentication protocols focused on how to generate signatures efficiently, while our schemes can also significantly reduce the verification cost, which is critical to ADS-B systems, since at any time an ADS-B receiver may receive lots of signatures. We design two concrete schemes. The basic scheme supports partial batch verification and the extended scheme provides full batch verification. We give a formal security proof for the extended scheme. Experiment results show that our schemes with batch verification are tremendously more efficient in batch verifying <inline-formula><tex-math notation="LaTeX">$n$ </tex-math><alternatives><inline-graphic xlink:href="yang-ieq1-2459709.gif"/></alternatives></inline-formula> signatures than verifying <inline-formula><tex-math notation="LaTeX">$n$</tex-math><alternatives> <inline-graphic xlink:href="yang-ieq2-2459709.gif"/></alternatives></inline-formula> signatures independently. For example, the running time of verifying 100 signatures is 502 and 484 ms for the basic scheme and the extended scheme respectively, while the time is 2500 ms if verifying the signatures independently.
Philosophical Issues in Psychiatry II: Nosology

As known, adventure and experience about lesson, entertainment, and knowledge can be gained by only reading a book. Even it is not directly done, you can know more about this life, about the world. We offer you this proper and easy way to gain those all. We offer many book collections from fictions to science at all. One of them is this philosophical issues in psychiatry ii nosology that can be your partner.
Exploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction

Machine learning approaches based on supervised classiﬁcation have emerged as effective methods for Biomedical relation extraction such as the Chemical-Induced-Disease (CID) task. These approaches owe their success to a rich set of features crafted from the lexical and syntactic regularities in the text. Kernel methods are an effective alternative to manual feature engineering and have been successfully used in similar tasks such as text classiﬁcation. In this paper, we study the effectiveness of tree kernels for Chemical-Disease relation extraction. Our experiments demonstrate that subset tree kernels increase the F-score to 61 . 7% as compared to 57 . 9% achieved with simple feature engineering. We also describe the strengths and short-comings of tree kernel approaches for the CID relation extraction task.
High spectral purity OEO (Opto-Electronic Oscillator) for high dynamic environment platform

Generation and distribution of very low phase noise and spurious-free microwave Local Oscillator (LO) is needed for most of the radar or electronic warfare applications. Microwave optical technologies are well dedicated to this purpose. In a previous paper, we have studied a directly-modulated optical link. Thanks to new experimentations with external-modulated optical links, we compare those two kinds of optical link with coaxial cable link, while subjected to severe environmental conditions. Then, we design, realize and optimize three OEO with the external modulation links at 3.2, 10 and 26 GHz. Finally, we implement an electronic active compensation of vibration in the realized 10 GHz OEO.
Predictors of Attrition and Achievement in a Tertiary Bridging Program.

This study examines the attrition and achievement of a sample of 295 students in an on-campus tertiary bridging program at a regional university. A logistic regression analysis using enrolment status, age and the number of absences from scheduled classes at week three of the semester as predictor variables correctly predicted 92.8 percent of participant attrition. It was concluded that attrition is largely a phenomenon associated with younger students between 18 and 24. While the quality of academic staff support was found to be strongly positively associated with the emotional commitment and academic identity of the participant, it was also negatively associated with scheduled class absence for those participants who dropped out. Intervention to address attrition of these young students is recommended to involve the selection of appropriate academic staff and a comprehensive orientation process which allows the development of supportive peer and staff relationships. The purpose of the orientation would be to facilitate the development of a robust sense of emotional commitment to a positive academic identity prior to the completion of the initial assessment tasks.
Selctive detection of phonon-plasmon coupled oscillation in indium phosphide using a coherent control technique

Summary form only given. Coherent oscillations of phonons are excited by irradiation of a femtosecond laser pulse which duration is much shorter than those vibrational periods. Transient reflectivity shows modulation due to these coherent oscillations and gives dynamic information of phonons, known as time-domain spectroscopy (TDS). Furthermore, using a pair of femtoseconds laser pulses for excitation, amplitude of the coherent oscillations can be controlled by changing separation time between the pulses (coherent control technique) [1,2]. In polar semiconductors, coherent oscillations of phonon-plasmon coupled mode are also excited when the plasma frequency and the phonon frequency are similar. Dynamics of longitudinal optical (LO) phonons and LO-phonon-plasmon coupled (LOPC) oscillations have been studied using TDS [3]. However, the intensity of LOPC is too small and hidden under the LO-phonon oscillations. Then dynamical information of LOPC has not been obtained. In this paper, we detected the LOPC coherent oscillations in InP by suppressing the strong LO-phonon oscillations using the coherent control technique.We measured transient reflectivity using a femtosecond time-resolved pump and probe technique [1] at room temperatures. The laser used was a mode-locked Ti:sapphire laser with a wavelength centered at 800 nm, providing approximately 40 fs. The sample used was a single crystal of Zn-doped n-type InP (100) with a carrier density of 1.1x1018 cm-3. The pump beam was split into two beams by using a Michelson-type interferometer to produce a double-pulse pump beam with a separation time of Δt, which was varied by moving the mirror on an arm in the interferometer.
Narrative medicine-based intervention in primary care to reduce polypharmacy: results from the cluster-randomised controlled trial MultiCare AGENDA

Objectives To determine if patient-centred communication leads to a reduction of the number of medications taken without reducing health-related quality of life. Design Two-arm cluster-randomised controlled trial. Setting 55 primary care practices in Hamburg, Düsseldorf and Rostock, Germany. Participants 604 patients 65 to 84 years of age with at least three chronic conditions. Interventions Within the 12-month intervention, general practitioners (GPs) had three 30 min talks with each of their patients in addition to routine consultations. The first talk aimed at identifying treatment targets and priorities of the patient. During the second talk, the medication taken by the patient was discussed based on a ‘brown bag’ review of all the medications the patient had at home. The third talk served to discuss goal attainment and future treatment targets. GPs in the control group performed care as usual. Primary outcome measures We assumed that the number of medications taken by the patient would be reduced by 1.5 substances in the intervention group and that the change in the intervention group’s health-related quality of life would not be statistically significantly inferior to the control group. Results The patients took a mean of 7.0±3.5 medications at baseline and 6.8±3.5 medications at follow-up. There was no difference between treatment and control group in the change of the number of medications taken (0.43; 95% CI −0.07 to 0.93; P=0.094) and no difference in health-related quality of life (0.03; −0.02 to 0.08; P=0.207). The likelihood of receiving a new prescription for analgesics was twice as high in the intervention group compared with the control group (risk ratio, 2.043; P=0.019), but the days spent in hospital were reduced by the intervention (−3.07; −5.25 to −0.89; P=0.006). Conclusions Intensifying the doctor–patient dialogue and discussing the patient’s agenda and personal needs did not lead to a reduction of medication intake and did not alter health-related quality of life. Trial registration number ISRCTN46272088; Pre-results.
Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

T-cells have to recognize peptides presented on MHC molecules to be activated and elicit their effector functions. Several studies demonstrate that some peptides are more immunogenic than others and therefore more likely to be T-cell epitopes. We set out to determine which properties cause such differences in immunogenicity. To this end, we collected and analyzed a large set of data describing the immunogenicity of peptides presented on various MHC-I molecules. Two main conclusions could be drawn from this analysis: First, in line with previous observations, we showed that positions P4–6 of a presented peptide are more important for immunogenicity. Second, some amino acids, especially those with large and aromatic side chains, are associated with immunogenicity. This information was combined into a simple model that was used to demonstrate that immunogenicity is, to a certain extent, predictable. This model (made available at http://tools.iedb.org/immunogenicity/) was validated with data from two independent epitope discovery studies. Interestingly, with this model we could show that T-cells are equipped to better recognize viral than human (self) peptides. After the past successful elucidation of different steps in the MHC-I presentation pathway, the identification of variables that influence immunogenicity will be an important next step in the investigation of T-cell epitopes and our understanding of cellular immune responses.
Suppressed Injury-Induced Rise in Spinal Prostaglandin E2 Production and Reduced Early Thermal Hyperalgesia in iNOS-Deficient Mice

It is widely accepted that peripheral injury increases spinal inducible cyclooxygenase (COX-2) expression and prostaglandin E2 (PGE2) formation as key mediators of nociceptive sensitization. Here, we used inducible nitric oxide synthase (iNOS) gene-deficient (iNOS−/−) mice to determine the contribution of iNOS-derived nitric oxide (NO) to this process. iNOS−/− mice exhibited reduced thermal hyperalgesia after zymosan injection. Spinal NO and PGE2 formation both remained at baseline levels, in contrast to wild-type (wt) mice. In wt mice reduced hyperalgesia similar to that seen in iNOS−/− mice was induced by local spinal, but not by systemic treatment with the iNOS inhibitorl-NIL, suggesting that the reduced heat sensitization in iNOS−/− mice was attributable to the lack of spinal rather than peripheral iNOS. Two additional observations indicate that the antinociceptive effects of iNOS inhibition are dependent on a loss of stimulation of PG synthesis. First, intrathecal injection of the COX inhibitor indomethacin, which exerted pronounced antinociceptive effects in wt mice, was completely ineffective in iNOS−/− mice. Second, treatment with the NO donor RE-2047 not only completely restored spinal PG production and thermal sensitization in iNOS−/− mice but also its sensitivity to indomethacin. In both types of mice induction of thermal hyperalgesia was accompanied by similar increases in COX-1 and COX-2 mRNA expression. The stimulation of PG production by NO therefore involves an increase in enzymatic activity, rather than an alteration of COX gene expression. These results indicate that NO derived from spinal iNOS acts as a fast inductor of spinal thermal hyperalgesia.
A wire length estimation technique utilizing neighborhood density equations

A new wire length estimation technique is presented. Wire length distribution is modeled by wire density on a 2-D lattice. Assuming a pointwise independent branching process, the wire length distribution is found by solving the neighborhood density equations. For several industrial circuits tested, this technique achieved an estimation error of 9.0% with a maximum deviation of +16.3%, which compared favorably with other techniques recently proposed. <<ETX>>
Automated Mitosis Detection in Color and Multi-spectral High-Content Images in Histopathology: Application to Breast Cancer Grading in Digital Pathology

Digital pathology represents one of the major and challenging evolutions in modern medicine. Pathological exams constitute not only the gold standard in most of medical protocols, but also play a critical and legal role in the diagnosis process. Diagnosing a disease after manually analyzing numerous biopsy slides represents a labor-intensive work for pathologists. Thanks to the recent advances in digital histopathology, the recognition of histological tissue patterns in a high-content Whole Slide Image (WSI) has the potential to provide valuable assistance to the pathologist in his daily practice. Histopathological classification and grading of biopsy samples provide valuable prognostic information that could be used for diagnosis and treatment support. Nottingham grading system is the standard for breast cancer grading. It combines three criteria, namely tubule formation (also referenced as glandular architecture), nuclear atypia and mitosis count. Manual detection and counting of mitosis is tedious and subject to considerable inter- and intra-reader variations. The main goal of this research is the development of frameworks able to provide detection of mitosis on different types of scanners and multispectral microscope. These frameworks have been evaluated on MITOS dataset and compared results with ICPR MITOS contest 2012.
Generic Log Analyzer Using Hadoop Mapreduce Framework

There are various applications which have a huge database. All databases maintain log files that keep records of database changes. This can include tracking various user events. Apache Hadoop can be used for log processing at scale. Log files have become a standard part of large applications and are essential in operating systems, computer networks and distributed systems. Log files are often the only way to identify and locate an error in software, because log file analysis is not affected by any time-based issues known as probe effect. This is opposite to analysis of a running program, when the analytical process can interfere with time-critical or resource critical conditions within the analyzed program. Log files are often very large and can have complex structure. Although the process of generating log files is quite simple and straightforward, log file analysis could be a tremendous task that requires enormous computational resources, long time and sophisticated procedures. This often leads to a common situation, when log files are continuously generated and occupy valuable space on storage devices, but nobody uses them and utilizes enclosed information. The overall goal of this project is to design a generic log analyzer using hadoop map-reduce framework. This generic log analyzer can analyze different kinds of log files such as- Email logs, Web logs, Firewall logs Server logs, Call data logs.
The security of VANETs

In this work, we address the security of VANETs. We provide a detailed threat analysis and devise an appropriate security architecture. We also describe some major design decisions still to be made, which in some cases have more than mere technical implications. We provide a set of security protocols, we show that they protect privacy and we analyze their robustness, and we carry out a quantitative assessment of the proposed solution.