gebhart/patrepeval huggingface dataset:
Topography and longitudinal chromatic aberration characterizations of refractive–diffractive multifocal intraocular lenses (2019)

The LCA of each of the IOLs was evaluated in vitro. In most of the multifocal IOLs studied, some of the foci were found to be refractive, whereas others were diffractive. Although the results were not extrapolated to clinical relevance, it was shown, in some of the cases, that LCA could be fully compensated.
Re-Route Package Pickup and Delivery Planning with Random Demands (2019)

Recently, a higher competition in logistics business introduces new challenges to the vehicle routing problem (VRP). Re-route planning, also known as dynamic VRP, is one of the important challenges. The re-route planning has to be performed when new customers request for deliveries while the delivery vehicles, i.e., trucks, are serving other customers. While the re-route planning has been studied in the literature, most of the existing works do not consider different uncertainties. Therefore, in this paper, we propose two systems, i.e., (i) an offline package pickup and delivery planning with stochastic demands (PDPSD) and (ii) a re-route package pickup and delivery planning with stochastic demands (Re-route PDPSD). Accordingly, we formulate the PDPSD system as a two-stage stochastic optimization. We then extend the PDPSD system to the Re-route PDPSD system with a re-route algorithm. Furthermore, we evaluate performance of the proposed systems by using the dataset from Solomon Benchmark suite and a real data from a Singapore logistics 1company. The results show that the PDPSD system can achieve the lower cost than that of the baseline model. In addition, the Re-route PDPSD system can help the supplier efficiently and successfully to serve more customers while the trucks are already on the road.
Mie scattering and the Martian atmosphere (1971)

It has been suggested that the discrepancy between radio occultation determinations of the Martian atmospheric surface pressure (3.8 to 7 mb) and those deduced from optical polarization measurements and a simple Rayleigh atmosphere model (about 10 mb) are the results of sub-micron sized aerosols in the Martian atmosphere. Based on observed viewing angle dependence of the polarization of the Martian disk in the visual range, a Mie scattering analysis has been made utilizing the measured complex index of refraction of limonite and bulk solid CO 2 . The results of this study indicate that limonite aerosols alone are unsatisfactory to explain the viewing angle observations, whereas solid CO 2 (and H 2 O ice) aerosol spheres, having a dominant particle radius range between 0.28 and 0.35 μ , could bring planetary and laboratory observations into compatibility. It is suggested, further, that solid CO 2 aerosols could explain limb brightening in the blue spectral range. Various distributions of solid CO 2 and H 2 O Mie particles with radii up to 0.35 μ show an opposition effect. However, the role of these aerosols in explaining the Mars opposition observations is very dependent on the optical properties of the underlying Mars surface material.
Single-Incision Fasciotomy Decreases Infection Risk Compared with Dual-Incision Fasciotomy in Treatment of Tibial Plateau Fractures With Acute Compartment Syndrome (2023)

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Active Gravity Compensation in Upper Limb Rehabilitation Robots (2011)

Strokes are the first source of physical disability (hemiplegia) and the third cause of death in developed countries Clinical studies performed on stroke patients showed that the more repetitive, frequent and long the rehabilitation exercises are, the best the mobility recovery is. In addition, the number of stroke patients increases yearly due to the ageing of the population, the increase of stroke risk factor, etc. Consequently, there is a significant growth in need for physical and rehabilitation medicine that robotic devices can help to meet. Most of rehabilitation robots (controlled by an impedance or admittance control) are based on measures of the interaction forces with the patient in order to interact with him. These forces are obtained from force sensors integrated into the structure of the robot. However, these sensors do not discern the muscular forces developed by the patient from forces due to the gravity action on the patient's arm. Accordingly, weak patients are not able to perform rehabilitation exercises using robotic devices. The first rehabilitation goal is not to musculate the patient’s arm but rather to repeat rehabilitation movements during physical therapy. So it seems interesting that the patient does not have to carry the weight of his arm what can be done by eliminating the gravity force component from the measured forces. The goal of this research is to develop a solution to deduce the forces due to gravity, and in a sense to compensate it, in the control scheme of rehabilitation robots. This solution has to be generic, i.e. it has to be easily adaptable on existing rehabilitation exo-squeleton robots. The first step of this research is to develop an independent device in order to measure the joint configuration of the injured patient’s arm. This measure permits, through an inverse dynamics model integrating biomechanics parameters of the patient arm, to find the joint forces of the patient arm due to gravity. After projection in the appropriate space, these forces will be removed from these measured in the rehabilitation robot to perform an active compensation of gravity in the controller. This poster describes the first step, i.e. the arm joint configuration measurement. Inertial sensors are used to measure an absolute orientation because these sensors offer many advantages as low cost, good reliability and small size. First, the way of using these sensors to measure the absolute orientation is described. As rehabilitation robot is based on a specific arm model, the different types of models are next presented. The method to retrieve the joint angles and the initialization for each of these models are described next. Finally, the identification of each of these models with the proposed sensors is validated by an anthropomorphic artificial arm equipped with encoders on the joints used as a reference.
Connecting teratogen‐induced congenital heart defects to neural crest cells and their effect on cardiac function (2014)

Neural crest cells play many key roles in embryonic development, as demonstrated by the abnormalities that result from their specific absence or dysfunction. Unfortunately, these key cells are particularly sensitive to abnormalities in various intrinsic and extrinsic factors, such as genetic deletions or ethanol-exposure that lead to morbidity and mortality for organisms. This review discusses the role identified for a segment of neural crest in regulating the morphogenesis of the heart and associated great vessels. The paradox is that their derivatives constitute a small proportion of cells to the cardiovascular system. Findings supporting that these cells impact early cardiac function raises the interesting possibility that they indirectly control cardiovascular development at least partially through regulating function. Making connections between insults to the neural crest, cardiac function, and morphogenesis is more approachable with technological advances. Expanding our understanding of early functional consequences could be useful in improving diagnosis and testing therapies.
Dual THz emissions of GaAsBi for THz photoconductive switching (2013)

We have measured dual THz emissions from GaAsBi-based photoconductive (PC) switches. Such consecutive emissions triggered by a single excitation pulse are caused by dual carrier lifetime previously reported for this material. The study investigates the variation of such emissions with different material growth conditions such as Bi percentage and annealing temperature. Measured results reveal a notable contrast of the effect of such property in THz emitting and THz receiving applications of PC switches.
Del teatro al cine: hacia una teoría de la adaptación. (Tres versiones de Macbeth) (2015)

?De que se componen los sistemas semioticos propios de cada lenguaje, el dramatico y el cinematografico? ?Cuales son los complejos procesos de transformacion por los que un texto dramatico se convierte en una funcion teatral o bien en una obra filmica? ?Que diferencia esencialmente la recepcion de ambas obras? Y, finalmente, ?existe la posibilidad de una teoria que estudie sistematicamente el fenomeno de la adaptacion? Estas son las preguntas que voy a tratar de responder en este trabajo, que llevaran a elaborar un esbozo de teoria de la adaptacion del modo dramatico al cinematografico. Como cimientos previos a la elaboracion de esta investigacion, planteo un acercamiento a las teorias dramaticas y cinematograficas. Las fuentes que utilizo son, en primer lugar, los estudios sobre ambos sistemas semioticos. Para el estudio del drama utilizo el metodo de analisis dramatologico perfectamente sistematizado de Jose Luis Garcia Barrientos en Como se comenta una obra de teatro (2001) y en Analisis de la dramaturgia. Nueve obras y un metodo (2007), complementandolo con las teorias de Jose Luis Alonso de Santos, Antonin Artaud, Ian Bernard, Keir Elam, John Gielgud, Roger Manvell, Vsevolod Emilievich Meyerhold, Konstantin Stanislavki y Anne Ubersfeld entre otros. Para el estudio de la teoria cinematografica me apoyo en los estudios, principalmente, de Rudolph Arnheim, Henri Agel, Andrew Dudley, Daniel Arijon, Jacques Aumont y Michel Marie, Bela Balazs, Andre Bazin, David Bordwell y Kristin Thompson, Fernando Canet y Josep Prosper, Francesco Casetti, Sergei Eisenstein, Joaquin de Entrambasaguas, Jean Epstein, Susan Hayward, Siegfried Kracauer, Yuri Lotman, Marcel Martin, Christian Metz, Jean Mitry, Vsevolod Pudovkin, Vicente Sanchez Biosca y Robert Stam entre otros, quienes, en conjunto ofrecen un compendio muy amplio y dan una idea bastante completa y sistematizada del arte y lenguaje cinematografico...
Preoperative Rectal Cancer Management: Wide International Practice Makes Outcome Comparison Challenging: Reply (2011)

In a letter to the editor Dr. Hottenrott provides valuable comments on our survey describing international preoperative rectal cancer management. In our opinion, three key messages are derived from our survey: First, most surgeons agree to neoadjuvant treatment when there is an\nincreased risk of finding histologically positive circumferential margins. In addition, we found more than 40 other indications for neoadjuvant treatment (see our Table 4). This emphasizes the need for an international agreement, as different indications for neoadjuvant treatment will select noncomparable groups of patients in outcome\nstudies. Second, we have shown (see our Table 6) that multidisciplinary team (MDT) meetings significantly influence several important decisions in preoperative rectal cancer management. Interestingly, centers with regular MDT have a higher rate of using magnetic resonance imaging (MRI) (Odds Ratio [OR] = 3.62) and consider a threatened circumferential\nresection margin (CRM) as indication for neoadjuvant treatment (OR = 5.67). We believe that MDT improves preoperative management of rectal cancer by increasing adherence to national guidelines. Similar discussions in international rectal cancer societies are needed aiming towards an international consensus statement. Finally, our survey revealed sparse use (35% of all cases) of MRI. The goal for the radiologic examination in\nrectal cancer is to explore the tumor’s relation to nearby anatomical structures. This evaluation will conclude with TNM staging, important for chemoradiotheraphy, surgical treatment, and prognosis. Magnetic resonance imaging has a central role in this evaluation and should be the first choice radiologic modality. Not only is MRI crucial in detection of TNM stage but also plays a central role in determination of the tumor’s distance to the mesorectal fascia and the CRM. Magnetic resonance imaging has moderate sensitivity on T1 and T2 tumors, and should be\nsupplemented with rectal ultrasound.
APPLICATION OF NEURAL NETWORK MODELS FOR FORECASTING OF PAVEMENT CRACK INDEX AND PAVEMENT CONDITION RATING (2003)

Timely identification of undesirable crack, ride and rut conditions has been a critical step in pavement management at the network level. To date, many models have been developed for forecasting of pavement conditions with most of them focusing on a single index. Florida Department of Transportation (FDOT) forecasting models for roughness, skid resistance, or crack condition, etc., are such examples. The overall pavement surface condition is jointly determined by these individual pavement condition indices. This report summarizes the results of a research project that was initiated to implement a pavement condition prediction methodology using the Artificial Neural Network (ANN). In this research effort, three individual ANN models were developed to forecast three key indices, including crack rating, ride rating, and rut rating. These indices have been used by the FDOT for pavement evaluation purposes. Each individual model was trained and tested with the use of the FDOT pavement surface condition database. Modeling results suggest that the ANN models developed in the research have the capability to satisfactorily forecast future individual pavement condition index up to a period of five years. As one of the implementation tasks, a software package was developed for easy implementation and use of the ANN predictive models.
An Atomic Force Microscopy Study on the Transition from Mushrooms to Octopus Surface “Micelles” by Changing the Solvent Quality (1996)

Atomic force microscopy (AFM) is used to study the behavior of a diblock copolymer onto a solid surface while the solvent quality is changed. In a first step, the copolymer poly(2-vinylpyridine)/polystyrene (P2VP/PS) is adsorbed onto mica from a selective solvent (the PS block is well solvated and the P2VP is not solvated). In such a case, the P2VP block adsorbs preferentially on the substrate and anchors the PS block to the surface. In a second step, the solvent quality is reduced to such an extent that the PS block is no longer solvated. This procedure allows the formation of octopus surface “micelles”. The parameters characterizing this regime are measured using AFM. In addition, a direct determination of the adsorbance is performed. It reveals that the PS blocks when immersed in good solvent do not overlap. A mushroom surface regime instead of a brush one is thus created at the surface.
Adaptive neuro-fuzzy control of dynamical systems (2011)

In this paper, the an adaptive neuro-fuzzy control that combines the features of fuzzy sets and neural networks have been implemented and applied for the control of SISO and MIMO systems. Duffing forced oscillation system was considered as the SISO plant while the Twin Rotor laboratory set up that closely mimics helicopter dynamics was considered as the MIMO plant. The tracking performance of the controller has been demonstrated for time varying inputs. Robust performance of the controller was demonstrated by applying a pulse disturbance when the controlled plant had reached a steady state. Real time implementation of the controller has been demonstrated on the Twin Rotor system.
Therapeutic Utility of NK3 Receptor Antagonists for the Treatment of Schizophrenia (2009)

The dopaminergic and glutamatergic hypotheses dominate current drug discovery strategies. The dopamine hypothesis states that hyperactivity of the mesolimbic dopaminergic pathway is associated with positive symptoms of the disease, whereas hypoactivity of the mesocortical dopaminergic pathway is associated with the negative and cognitive symptoms. Increasing evidence has also suggested that hypoactivity in the corticolimbic glutamatergic system may contribute to the complex interplay between dysfunctional aspects of these neurotransmitter systems, which could account for much of the symptomatology observed in schizophrenia. Current antipsychotic drugs display moderate efficacy in treating the positive symptoms and limited efficacy against the negative, cognitive, or co-morbidity symptoms of the disease. They are also associated with significant side effects such as extrapyramidal side effects and metabolic disturbances. Thus pharmacologies that are able to more selectively modulate the underlying neuronal substrates of schizophrenia may have utility as efficacious and wide spectrum antipsychotic therapies with potentially improved side effect liabilities. The neuropeptide neuromodulator/neurotransmitter class and their associated receptors have been suggested to be one such family class. One such target which has shown particular promise, and thus has gained much pharmaceutical research interest, is the neurokinin receptor family and particularly the NK(3) receptor. The NK(3) receptor is expressed almost exclusively within the mammalian nervous system and its localisation is commensurate with a role in modulating central monoaminergic neurotransmission. Here we will provide an introduction to both the neurokinin ligands and receptors and review current preclinical understanding of their putative biological roles and, in particular, their modulatory role in the circuitry pertinent to schizophrenia. A brief review of the available chemical strategies employed to produce selective tools and drug development candidates will also be undertaken. Finally we will summarize the available clinical information on those compounds which have progressed into patient populations and evaluate their potential therapeutic utility, and the future of the NK(3) receptor target.
Saccharide-Linked Ethynylpyridine Oligomers: Primary Structures Encode Chiral Helices (2008)

A series of glycoside-linked oligomeric 2,6-pyridylene−ethynylene (m-ethynylpyridine) compounds were prepared and studied for their intramolecular chiral induction. The primary structure of the oligomers, such as the lengths of ethynylpyridine moieties and linkers and the types of terminal groups and linked glycosides, was varied. From circular dichroism (CD) and 1H NMR analyses, it was found that the intramolecular hydrogen bonds between the glycoside and ethynylpyridine moieties induced the formation of higher-order, chiral helices of the oligomers. The sign and strength of CD signals for the helices were found to depend strongly on the length of ethynylpyridines and the types of terminal groups and glycosides. These results showed that the oligomers encode their higher-order structures in their primary structures.
Estimates of Cellular Mutagenesis From Cosmic Rays . (1994)

A parametric track structure model is used to estimate the cross section as a function of particle velocity and charge for mutations at the HGPRT locus in human broblast cell cultures. Experiments that report the fraction of mutations per surviving cell for human lung and skin broblast cells indicate small di erences in the mutation cross section for these two cell lines when di erences in inactivation rates between these cell lines are considered. Using models of cosmic ray transport, the mutation rate at the HGPRT locus is estimated for cell cultures in space ight and rates of about 2 to 10 2 1006 per year are found for typical spacecraft shielding. A discussion of how model assumptions may alter the predictions is also presented.
Application of the nitrosoamide reaction to hydrazones (1974)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTApplication of the nitrosoamide reaction to hydrazonesRichard H. McGirk, Clifford R. Cyr, William D. Ellis, and Emil H. WhiteCite this: J. Org. Chem. 1974, 39, 26, 3851–3855Publication Date (Print):December 1, 1974Publication History Published online1 May 2002Published inissue 1 December 1974https://pubs.acs.org/doi/10.1021/jo00940a011https://doi.org/10.1021/jo00940a011research-articleACS PublicationsRequest reuse permissionsArticle Views184Altmetric-Citations9LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Android malicious application detection using support vector machine and active learning (2017)

The increasing popularity of Android phones and its open app market system have caused the proliferation of malicious Android apps. The increasing sophistication and diversity of the malicious Android apps render the conventional malware detection techniques ineffective, which results in a large number of malicious applications remaining undetected. This calls for more effective techniques for detection and classification of Android malware. Hence, in this paper, we present an Android malicious application detection framework based on the Support Vector Machine (SVM) and Active Learning technologies. In our approach, we extract applications' activities while in execution and map them into a feature set, we then attach timestamps to some features in the set. We show that our novel use of time-dependent behavior tracking can significantly improve the malware detection accuracy. In particular, we build an active learning model using Expected error reduction query strategy to integrate new informative instances of Android malware and retrain the model to be able to do adaptive online learning. We evaluate our model through a set of experiments on the DREBIN benchmark malware dataset. Our evaluation results show that the proposed approach can accurately detect malicious applications and improve updatability against new malware.