Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of treatments for symptoms of painful diabetic neuropathy: systematic review

Objective To evaluate the effects of treatments for the symptoms of painful diabetic neuropathy. Design Systematic review. Data sources Articles (English and full text) on double blind randomised trials found by searching with the key words anticonvulsant, antidepressant, non-steroidal anti-inflammatory drugs, tramadol, opioid, ion channel blocker, diabetic neuropathy, diabetic peripheral neuropathy, peripheral neuropathy, and neuropathy. The search included Medline, Embase, EMB reviews-AP Journal club, and the Cochrane central register of controlled trials. Study selection Randomised controlled trials comparing topically applied and orally administered drugs with a placebo in adults with painful diabetic neuropathy. Data extraction Data were extracted to examine quality of methods, characteristics of studies and patients, efficacy, and side effects. The primary outcome was dichotomous information for 50% or moderate reduction of pain. Secondary outcomes were 30% reduction of pain and withdrawals related to adverse events. Results Odds ratios were calculated for achievement of 30%, 50%, or moderate pain relief and for withdrawals related to adverse effects. Twenty five reports were included and seven were excluded. The 25 included reports compared anticonvulsants (n=1270), antidepressants (94), opioids (329), ion channel blockers (173), N-methyl-D-aspartate antagonist (14), duloxetine (805), capsaicin (277), and isosorbide dinitrate spray (22) with placebo. The odds ratios in terms of 50% pain relief were 5.33 (95% confidence interval 1.77 to 16.02) for traditional anticonvulsants, 3.25 (2.27 to 4.66) for newer generation anticonvulsants, and 22.24 (5.83 to 84.75) for tricylic antidepressants. The odds ratios in terms of withdrawals related to adverse events were 1.51 (0.33 to 6.96) for traditional anticonvulsants, 2.98 (1.75 to 5.07) for newer generation anticonvulsants, and 2.32 (0.59 to 9.69) for tricylic antidepressants. Insufficient dichotomous data were available to calculate the odds ratios for ion channel blockers. Conclusion Anticonvulsants and antidepressants are still the most commonly used options to manage diabetic neuropathy. Oral tricyclic antidepressants and traditional anticonvulsants are better for short term pain relief than newer generation anticonvulsants. Evidence of the long term effects of oral antidepressants and anticonvulsants is still lacking. Further studies are needed on opioids, N-methyl-D-aspartate antagonists, and ion channel blockers.
Computation of supremal controllable sublanguages and infimal controllable superlanguages for fuzzy discrete event systems

Recently, several approaches for the study of fuzzy discrete event systems (FDES) in a supervisory control context have been proposed. Although controllability of fuzzy languages and their implementation by a supervisor could be verified by algorithmic procedures, the problem of supervisor synthesis was only solved for the case of FDES with crisp states but fuzzy state transitions. In this paper, we present algorithms to compute the supremal controllable fuzzy sublanguage and the infimal controllable prefix-closed fuzzy superlanguage of a given fuzzy language for the general case of FDES with fuzzy states, fuzzy state transitions and fuzzy event controllability properties, and formally prove their correctness.
T.O.S.S. It to the New Teacher: The Principal's Role in the Induction Process.

The constant state of "simply making it through the day" for many beginning teachers affects their physical and mental well-being, and impacts their decision to stay in the field of education. Given the seriousness of teacher burnout, it behooves school systems to provide an induction experience for beginning teachers that will contribute to their development as a professional and to their intent to stay in the field. This qualitative study examined the initial experiences of middle-school beginning teachers through interviews with principals, mentors, and new teachers, and through classroom observations of the new teachers. Its focus involved finding out what role administrators can play in the successful induction of new teachers. Findings show that time, observations, subject matter, and schedules (T.O.S.S.) are components administrators have control over to provide a smooth transition for the first-year teacher. It is recommended that further research be conducted to confirm or disconfirm this study's findings, that principals take an active role in the induction of new teachers and refrain from relegating all aspects of induction to the mentor, and that principals should embrace the elements of T.O. S.S. as they formulate their induction policies. (Contains 36 references.) (RT) Reproductions supplied by EDRS are the best that can be made from the original document. T.O. S.S. : Principal's Role in Teacher Induction. I T.O. S.S. It to the New Teacher: The Principal's Role in the Induction Process Pamela S. Angel le Louisiana Department of Education Region IV Education Service Center pangelledoe.state. la.us U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
4D-based teaching of high-rise structural principles

D modeling and visualization is more and more used in construction education curricula. The main interest of this technology is its ability to simulate real sequencing of construction tasks in order to confront the student with real-life construction management issues. This article presents a course for architecture and construction engineers about the teaching of structural principles of high-rise buildings and the particularity of their design and construction. The students use 4D simulation as a support to the analysis of structural characteristics of the studied projects. Pedagogical interest is highlighted in the article. The emphasis is particularly put on the visualization of 3D/4D models. A metamodel of multi-view is proposed and enables the modeling of particular 4D multiple views in order to reuse it. The aim of this work is to build a method assisting students when choosing visualization parameters for realizing 4D simulations.
The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit – a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk. org/
Update on Reactive Oxygen Species in Plant Pathology Reactive Oxygen Species Signaling in Response to Pathogens 1

The production of reactive oxygen species (ROS), via consumption of oxygen in a so-called oxidative burst, is one of the earliest cellular responses following successful pathogen recognition. Apoplastic generation of superoxide (O 2 2 ), or its dismutation product hydrogen peroxide (H 2 O 2 ), has been documented following recognition of a variety of pathogens Avirulent pathogens, successfully recognized via the action of disease resistance ( R ) gene products in plant system, elicit a biphasic ROS accumulation with a low-amplitude, transient ﬁrst phase, followed by a sustained phase of much higher magnitude that correlates with disease resistance However, virulent pathogens that avoid host recognition induce only the transient, low-amplitude ﬁrst phase of this response, suggesting a role for ROS in the establishment of the defenses. In line with this conclusion, elicitors of defense responses, often re-ferred to as microbe-associated molecular patterns (MAMPs), an oxidative burst. Initial char-acterization of the oxidative unclear whether ROS executioners of pathogen, host cells the form of the hypersensitive or, as signaling molecules that in the
Expression profile and function of triggering receptor expressed on myeloid cells-1 during melioidosis.

BACKGROUND Triggering receptor expressed on myeloid cells-1 (TREM-1) amplifies Toll-like receptor-initiated responses against pathogens. We aimed to characterize TREM-1 expression and function during sepsis caused by Burkholderia pseudomallei (melioidosis). METHODS TREM-1 expression was determined on leukocytes and plasma from 34 patients with melioidosis and 32 controls and in mice with experimentally induced melioidosis. Responsiveness toward B. pseudomallei of TREM-1(+) and TREM-1(-) leukocytes was tested in vitro. TREM-1 function was inhibited in mice by a synthetic peptide mimicking the ectodomain of this receptor. RESULTS Patients demonstrated increased soluble (s) TREM-1 plasma levels and TREM-1 surface expression on monocytes but not granulocytes. Similarly, mice inoculated with B. pseudomallei displayed a gradual rise in sTREM-1 level and an increase in blood monocyte but not granulocyte TREM-1 expression. At the primary infection site, however, granulocyte TREM-1 expression was enhanced, and the rise in sTREM-1 level occurred earlier. Additionally, purified human TREM-1(-) granulocytes showed reduced responsiveness to B. pseudomallei relative to TREM-1(+)granulocytes, a difference not detected for TREM-1(-) and TREM-1(+) monocytes. Treatment with a peptide mimicking a conserved domain of sTREM-1 partially protected mice from B. pseudomallei-induced lethality. CONCLUSIONS During melioidosis, TREM-1 expression is differentially regulated on granulocytes and monocytes; measurement of TREM-1 expression on blood granulocytes may not provide adequate information on granulocyte TREM-1 expression at the infection site. TREM-1 may be a therapeutic target in melioidosis.
Fair Market Value Could Have Contributed to the Crash

This article argues that fair-market value accounting could have played a significant role in the recent financial crisis, by causing a drop in demand for the structured finance products that were central to the market collapse. The culprit is the discretion inherent in the use of "mark-to-model" reports, in which firms report fair values that they calculate internally, rather than actual market prices. In equilibrium, discretion in mark-to-model reports leads to aggressive reporting of asset values, compared with a conservative reporting regime. Aggressive reporting weakens demand and increases financial market frictions, resulting in illiquidity. We demonstrate these effects in a laboratory experiment with a matched pairs design, and find that adopting a mark-to-model regime causes drops in prices and reduces the frequency of trade.
Effectiveness of a Layer-by-Layer Microbubbles-Based Delivery System for Applying Minoxidil to Enhance Hair Growth

Minoxidil (Mx) is a conventional drug for treating androgenetic alopecia, preventing hair loss, and promoting hair growth. The solubility of Mx has been improved using chemical enhancement methods to increase its skin permeability over the long term. This study created a new ultrasound (US) contrast agent—albumin-shelled microbubbles (MBs) that absorb chitosan oligosaccharide lactate (COL) and Mx—and combined it with sonication by US energy in the water phase to enhance hair growth while shortening the treatment period. COL and Mx grafted with MBs (mean diameter of 1480 nm) were synthesized into self-assembled complexes of COL-MBs and Mx-COL-MBs that had mean diameters of 4150 and 4500 nm, respectively. The US was applied at 3 W/cm2 for 1 min, and combined with Mx-COL-MBs containing 0.3% Mx. The diffusion of Mx through the dialysis membrane from Mx-COL-MB during US (US+Mx-COL-MB) was more rapid at pH 4 than at pH 7.4, which is favorable given that the environment of the scalp is mildly acidic (pH=4.5-5.5). In Franz diffusion experiments performed in vitro, the release rates at 18 hours in the US+Mx-COL-MBs and US+MBs+Mx groups resulted in 2.3 and 1.7 times the penetration and deposition, respectively, of Mx relative to the group with Mx alone. During 21 days treatment in animal experiments, the growth rates at days 10 and 14 in the US+Mx-COL-MBs group increased by 22.6% and 64.7%, respectively, and there were clear significant differences (p<0.05) between the US+Mx-COL-MBs group and the other four groups. The use of US+Mx-COL-MB in the water phase can increased the effects of Mx so as to shorten the telogen phase, and also increase both the diameter of keratinized hair shafts and the size of hair follicles without causing skin damage.
CloudSafetyNet: Detecting Data Leakage between Cloud Tenants

When tenants deploy applications under the control of third-party cloud providers, they must trust the provider's security mechanisms for inter-tenant isolation, resource sharing and access control. Despite a provider's best efforts, accidental data leakage may occur due to misconfigurations or bugs in the cloud platform. Especially in Platform-as-a-Service (PaaS) clouds, which rely on weaker forms of isolation, the potential for unnoticed data leakage is high. Prior work to raise tenants' trust in clouds relies on attestation, which limits the management flexibility of providers, or fine-grained data tracking, which has high overheads. We describe CloudSafetyNet (CSN), a lightweight monitoring framework that gives tenants visibility into the propagation of their application data in a cloud environment with low performance overhead. It exploits the incentive of tenants to co-operate with each other to detect accidental data leakage. CSN transparently adds opaque security tags to a subset of form fields in HTTP requests, using a client-side JavaScript library. Socket-level monitors maintain a log of observed tags flowing between application components. Tenants retrieve their logs and identify foreign tags that indicate data leakage. To check the correct operation of CSN, tenants send probe requests with known tags and verify that monitors are logging correctly. Using an implementation of CSN deployed on the OpenShift and AppScale PaaS platforms, we show that it can discover misconfigurations and bugs with a negligible performance impact.
Natural ZMP Trajectories for Biped Robot Reference Generation

The control of a biped humanoid is a challenging task due to the hard-to-stabilize dynamics. Walking reference trajectory generation is a key problem. Linear Inverted Pendulum Model (LIPM) and Zero Moment Point (ZMP) Criterion-based approaches in stable walking reference generation are reported. In these methods, generally, the ZMP reference during a stepping motion is kept fixed in the middle of the supporting foot sole. This kind of reference generation lacks naturalness, in that the ZMP in the human walk does not stay fixed, but it moves forward under the supporting foot. This paper proposes a reference generation algorithm based on the LIPM and moving support foot ZMP references. The application of Fourier series approximation simplifies the solution, and it generates a smooth ZMP reference. A simple inverse kinematics-based joint space controller is used for the tests of the developed reference trajectory through full-dynamics 3D simulation. A 12-DOF biped robot model is used in the simulations. Simulation studies suggest that the moving ZMP references are more energy efficient than the ones with fixed ZMP under the supporting foot. The results are promising for implementations.
Three-dimensional Simulations of MHD Jet Propagation through Uniform and Stratified External Environments

We present a set of high-resolution three-dimensional MHD simulations of steady light, supersonic jets, exploring the influence of jet Mach number and the ambient medium on jet propagation and energy deposition over long distances. The results are compared to simple self-similar scaling relations for the morphological evolution of jet-driven structures and to previously published two-dimensional simulations. For this study we simulated the propagation of light jets with internal Mach numbers 3 and 12 to lengths exceeding 100 initial jet radii in both uniform and stratified atmospheres. The propagating jets asymptotically deposit approximately half of their energy flux as thermal energy in the ambient atmosphere, almost independent of jet Mach number or the external density gradient. Nearly one-quarter of the jet total energy flux goes directly into dissipative heating of the ICM, supporting arguments for effective feedback from AGNs to cluster media. The remaining energy resides primarily in the jet and cocoon structures. Despite having different shock distributions and magnetic field features, global trends in energy flow are similar among the different models. As expected, the jets advance more rapidly through stratified atmospheres than uniform environments. The asymptotic head velocity in King-type atmospheres shows little or no deceleration. This contrasts with jets in uniform media with heads that slow as they propagate. This suggests that the energy deposited by jets of a given length and power depends strongly on the structure of the ambient medium. While our low Mach number jets are more easily disrupted, their cocoons obey evolutionary scaling relations similar to the high Mach number jets.
The Case of PSR J1911–5958A in the Outskirts of NGC 6752: Signature of a Black Hole Binary in the Cluster Core?

We have investigated different scenarios for the origin of the binary millisecond pulsar PSR J1911-5958A in NGC 6752, the most distant pulsar discovered from the core of a globular cluster to date. The hypothesis that it results from a truly primordial binary born in the halo calls for accretion-induced collapse and negligible recoil speed at the moment of neutron star formation. Scattering or exchange interactions off cluster stars are not consistent with both the observed orbital period and its offset position. We show that a binary system of two black holes with (unequal) masses in the range of 3-100 M☉ can live in NGC 6752 until the present time and can have propelled PSR J1911-5958A into an eccentric peripheral orbit during the last ~1 Gyr.
A Probabilistic Model for the Estimation of Pedestrian Crossing Behavior at Signalized Intersections

Active safety systems which assess highly dynamic traffic situations including pedestrians are required with growing demands in autonomous driving and ADAS. In this paper, we focus on one of the most hazardous traffic situations: the possible collision between a pedestrian and a turning vehicle at intersections. This paper presents a probabilistic model of pedestrian behavior to signalized crosswalks. For this purpose, we take not only pedestrian physical states but also contextual information into account. We propose a model based on the Dynamic Bayesian Network (DBN) which integrates relations among the intersection context information and the pedestrian behavior in the same way as human. Afterwards, the model jointly estimates their states by the particle filter. Experimental evaluation using real traffic data shows that this model is able to recognize the pedestrian crossing decision in advance from the traffic signal and pedestrian position information.
Some new factors influencing user information satisfaction: implications for systems professionals

MIS researchers and professionals have identified user information satisfaction as a major objective of information systems development and implementation activities. In the absence of better evaluation criteria, user information satisfaction (or customer satisfaction) is often used as a criterion to evaluate the information systems department. In the MIS literature three major factors have been identified which can influence a user's satisfaction with her/his information systems. These factors are: the quality of information products (reports and screens), attitudes towards MIS staff and services, and knowledge and involvement level of user. This paper reports on a pilot study which aims to investigate two additional factors which may be relevant for user information satisfaction. The first additional factor is perceived fairness in the allocation of information systems and related resources to different user groups. Procedural fairness and distributive fairness have been identified as important for an individual's satisfaction in various non-MIS contexts. This study examines the relative role of fairness-related issues in an MIS context as determinants of user information satisfaction. The second factor relates to the impact of information systems design on the work environment of users. Role conflict and role ambiguity in the work environment are explored as a possible factor influencing user information satisfaction.
Cheddar: a flexible real time scheduling framework

This paper describes an Ada framework called Cheddar which provides tools to check if a real time application meets its temporal constraints. The framework is based on the real time scheduling theory and is mostly written for educational purposes. With Cheddar, an application is defined by a set of processors, tasks, buffers, shared resources and messages. Cheddar provides feasibility tests in the cases of monoprocessor, multiprocessor and distributed systems. It also provides a flexible simulation engine which allows the designer to describe and run simulations of specific systems. The framework is open and has been designed to be easily connected to CASE tools such as editors, design tools, simulators, .
Predicting job performance: Not much more than g..

The roles of general cognitive ability (g) and specific abilities or knowledge (s) were investigated as predictors of work sample job performance criteria in 7 jobs for U.S. Air Force enlistees. Both g and s (the interaction of general ability and experience) were defined by scores on the first and subsequent principal components of the enlistment selection and classification test (the Armed Services Vocational Aptitude Battery). Multiple regression analyses, when corrected for range restriction, revealed that g was the best predictor of all criteria and that s added a statistically significant but practically small amount to predictive efficiency