LLukas22/scidocs huggingface dataset:
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition

This paper presents a method of learning deep AND-OR Grammar (AOG) networks for visual recognition, which we term AOGNets. An AOGNet consists of a number of stages each of which is composed of a number of AOG building blocks. An AOG building block is designed based on a principled AND-OR grammar and represented by a hierarchical and compositional AND-OR graph [33, 46]. Each node applies some basic operation (e.g., Conv-BatchNormReLU) to its input. There are three types of nodes: an AND-node explores composition, whose input is computed by concatenating features of its child nodes; an OR-node represents alternative ways of composition in the spirit of exploitation, whose input is the element-wise sum of features of its child nodes; and a Terminal-node takes as input a channel-wise slice of the input feature map of the AOG building block. AOGNets aim to harness the best of two worlds (grammar models and deep neural networks) in representation learning with end-to-end training. In experiments, AOGNets are tested on three highly competitive image classification benchmarks: CIFAR-10, CIFAR-100 and ImageNet-1K. AOGNets obtain better performance than the widely used Residual Net [14] and most of its variants, and are comparable to the Dense Net [18]. AOGNets are also tested in object detection on the PASCAL VOC 2007 and 2012 [8] using the vanilla Faster RCNN [30] system and obtain better performance than the Residual Net.
Twice-daily, 10-day triple therapy with omeprazole, amoxicillin, and clarithromycin for Helicobacter pylori eradication in duodenal ulcer disease: results of three multicenter, double-blind, United States trials

Objective:We assessed the safety and efficacy of 10-day twice-daily triple therapy for Helicobacter pylori (H. pylori) in three double-blind, controlled trials in patients with duodenal ulcer disease.Methods:H. pylori-infected patients with one or more duodenal ulcer(s) at endoscopy (studies 1, 2) or with a documented duodenal ulcer history and no duodenal ulcer or erosions at endoscopy (study 3) were randomly assigned to 10-day courses of omeprazole 20 mg b.i.d. plus amoxicillin 1 g b.i.d. plus clarithromycin 500 mg b.i.d. (OAC) or placebo plus amoxicillin 1 g b.i.d. plus clarithromycin 500 mg b.i.d. (AC). In studies 1 and 2, patients received an additional 18 days of omeprazole 20 mg q.d. (OAC group) or placebo (AC group). Endoscopy was repeated 4 wk after therapy in studies 1 and 2 and 4–6 wk after therapy in study 3. At baseline, H. pylori was diagnosed by CLOtest plus histology, or by culture. Eradication was defined as no positive biopsy test and two or more negative tests. Patients were defined as compliant if they took 75% or more of each study drug and missed ≤ 3 consecutive days of the 10-day therapy.Results:Intent-to-treat populations of the three studies combined were 241 patients for OAC and 266 for AC. Of all OAC patients combined, 2% stopped study medications due to adverse events, and 93% were compliant. Per-protocol cure rates were 78% to 90% (all studies combined, 84%) for OAC vs 33% to 45% (combined, 39%) for AC (p < 0.001, OAC vs AC); intent-to-treat eradication rates were 69% to 83% (combined, 75%) for OAC vs 32% to 37% (combined, 35%) for AC; (p < 0.001, OAC vs AC).Conclusion:Rigorously designed studies indicate that 10 days of twice-daily triple therapy with omeprazole, amoxicillin, and clarithromycin achieves per-protocol eradication rates of approximately 80% to 90% in the U.S.
Environmental advantage: marketing the messages.

CA Corresponding Author Tel: +31 104634862 Fax: +31 104634856 E-mail: Verhoeven@lond.azr.nl BAC K GROU ND : In smoking COPD patients the bronchoalveolar lavage (BAL) fluid contains high numbers of inflammatory cells. These cells might produce arachidonic acid (AA) metabolites, which contribute to inflammation and an increased bronchomotor tone. Aims: To investigate levels of AA metabolites in BAL fluid, before and after inhaled glucocorticoid therapy: fluticasone propionate (FP) 1 mg per day, or placebo. Methods: A double-blind placebo controlled trial lasting six months. COPD patients were selected by clinical criteria and the presence of bronchial hyperresponsiveness (BHR). Lung function was recorded and in BAL fluid we counted cell numbers and measured LTB4 , LTC4/D4/E4 , PGE2 , 6kPGF1 a , PGF2 a and TxB2 . A control group consisted of asymptomatic smokers (n=6). Results: Paired data were obtained from 9 FP treated and 11 placebo patients. BAL cells were almost exclusively alveolar macrophages. In patients and controls both cellularity and levels of AA metabolites were equal. Cell numbers did not change after treatment. Statistically significant decreases after FP therapy were noticed for PGE2 (30%), 6kPGF1 a (41%) and PGF2 a (54%). Conclusions: In COPD, the capability of inflammatory cells to produce certain AA metabolites was decreased after inhaled FP treatment. This result is discussed in its relation to clinical effects, the influence of smoking, and the results of an earlier, similar study in asthma patients.
Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions

Finding dense substructures in a graph is a fundamental graph mining operation, with applications in bioinformatics, social networks, and visualization to name a few. Yet most standard formulations of this problem (like clique, quasiclique, k-densest subgraph) are NP-hard. Furthermore, the goal is rarely to find the "true optimum", but to identify many (if not all) dense substructures, understand their distribution in the graph, and ideally determine relationships among them. Current dense subgraph finding algorithms usually optimize some objective, and only find a few such subgraphs without providing any structural relations. We define the nucleus decomposition of a graph, which represents the graph as a forest of nuclei. Each nucleus is a subgraph where smaller cliques are present in many larger cliques. The forest of nuclei is a hierarchy by containment, where the edge density increases as we proceed towards leaf nuclei. Sibling nuclei can have limited intersections, which enables discovering overlapping dense subgraphs. With the right parameters, the nucleus decomposition generalizes the classic notions of k-cores and k-truss decompositions. We give provably efficient algorithms for nucleus decompositions, and empirically evaluate their behavior in a variety of real graphs. The tree of nuclei consistently gives a global, hierarchical snapshot of dense substructures, and outputs dense subgraphs of higher quality than other state-of-the-art solutions. Our algorithm can process graphs with tens of millions of edges in less than an hour.
On-Skin Interaction Using Body Landmarks

The human skin is a promising surface for input to computing devices but differs fundamentally from existing touch-sensitive devices. The authors propose the use of skin landmarks, which offer unique tactile and visual cues, to enhance body-based user interfaces.
Impact of Chemotherapy Beyond the Third Line in Patients With Recurrent Epithelial Ovarian Cancer.

OBJECTIVES
The goal of this study was to determine the benefit in terms of time disease control (TDC) achieved by the succession of chemotherapy beyond the third line in patients treated for recurrent epithelial ovarian cancer. Secondary objectives were to identify patients who benefited from treatments beyond 3 lines and to estimate overall survival and disease-free progression lengths.


MATERIALS AND METHODS
The cohort of 122 patients was identified from a pharmacy database of patients treated with chemotherapy between 1992 and 2010. The evaluation of benefit obtained by each line was based on TDC duration, defined as the interval between the beginning of the treatment and the date of progressive disease or death.


RESULTS
Median TDC durations was 4.15 (0-54.7), 4 (0-21.7), 3.34 (0-29.6), 4.97 (0-29.2), and 3.13 months (0-15) for the fourth to eighth lines, respectively. Time to disease control was longer than 6 months in 34% to 40% of patients treated by lines 4 to 8. The most important factor influencing TDC length beyond the third line was the TDC duration observed in the 2 previous lines of therapy. Median overall survival after the third line was 15.3 months (95% confidence interval, 12-20 months). Factors associated with longer overall survival after 3 lines were performance status lower than 2 (P = 0.0058), no hepatic metastasis (P = 0.0098), no pulmonary metastasis (P = 0.0003), and platinum sensitivity (P = 0.04) CONCLUSIONS: These results may justify the administration of chemotherapy beyond the third line, in particular when the 2 previous lines are effective and resulted in disease control longer than 6 months.
A new 3D model retrieval approach based on the elevation descriptor

The advances in 3D data acquisition techniques, graphics hardware, and 3D data modeling and visualizing techniques have led to the proliferation of 3D models. This has made the searching for specific 3D models a vital issue. Techniques for effective and efficient content-based retrieval of 3D models have therefore become an essential research topic. In this paper, a novel feature, called elevation descriptor, is proposed for 3D model retrieval. The elevation descriptor is invariant to translation and scaling of 3D models and it is robust for rotation. First, six elevations are obtained to describe the altitude information of a 3D model from six different views. Each elevation is represented by a gray-level image which is decomposed into several concentric circles. The elevation descriptor is obtained by taking the difference between the altitude sums of two successive concentric circles. An efficient similarity matching method is used to find the best match for an input model. Experimental results show that the proposed method is superior to other descriptors, including spherical harmonics, the MPEG-7 3D shape spectrum descriptor, and D2. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
HTML5 Game Development Insights

inputs into digital (down or up), analog (-1.0 to 1.0), and positional (touch and • mouse cursor). By building on a solid main loop you can easily add support for detecting chorded inputs and sequence inputs.
Half Mode Substrate Integrated Waveguide: A New Guided Wave Structure for Microwave and Millimeter Wave Application

In this paper, a new guided wave structure of half mode substrate integrated waveguide (HMSIW) for microwave and millimeter wave application is proposed for the first time. The principle of the HMSIW is described, and its propagation characteristics are simulated and measured. The measured results at microwave and millimeter wave bands show that the attenuation of it is less than that of conventional microstrip and even SIW, but its size is nearly half of a SIW. Thus, we can further compress the size of a microwave or millimeter wave integrated circuit based on this new guided wave structure.
A subjective quality evaluation for 3D point cloud models

Research over the last decade has developed a wide application of 3D models. Much of this work, however, is not related to quality evaluation of 3D color models. This paper presents a novel subjective quality evaluation model that can be used to compute the difference between an original 3D color model and the other processed one. Our model jointly takes into account human visual perception of color and shape in 3D color models. As observed from the results of color and shape stimulations, our model can efficiently test the evaluation outcomes and realize a subjective metric of 3D color models. Experimental results show that our proposed evaluation model gives a reasonable correspondence with the human perception, and supports our relationship formulation between the changes in shape and color for the similarity measurements of 3D color models.
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

An activation boundary for a neuron refers to a separating hyperplane that determines whether the neuron is activated or deactivated. It has been long considered in neural networks that the activations of neurons, rather than their exact output values, play the most important role in forming classificationfriendly partitions of the hidden feature space. However, as far as we know, this aspect of neural networks has not been considered in the literature of knowledge transfer. In this paper, we propose a knowledge transfer method via distillation of activation boundaries formed by hidden neurons. For the distillation, we propose an activation transfer loss that has the minimum value when the boundaries generated by the student coincide with those by the teacher. Since the activation transfer loss is not differentiable, we design a piecewise differentiable loss approximating the activation transfer loss. By the proposed method, the student learns a separating boundary between activation region and deactivation region formed by each neuron in the teacher. Through the experiments in various aspects of knowledge transfer, it is verified that the proposed method outperforms the current state-of-the-art. 1
A soft suction-based end effector for endoluminal tissue manipulation

INTRODUCTION The trend towards reducing the invasiveness of surgical procedures has pushed research towards the development of smaller and smarter instrumentation, able to access remote body locations by passing through natural orifices or more convenient access points [1]. Although a variety of flexible instruments have been proposed in literature, the endoscope remains the gold standard for diagnostic and therapeutics procedures in the gastrointestinal (GI) tract. Performing therapeutic procedures, such as removal of early stage cancer, through an endoscope introduces several challenges with current instrumentation in terms of instrument stability and the capability to provide accurate and repeatable dexterous motions at the surgical site [2]. Techniques such as endoscopic submucosal dissection (ESD) have been proposed [3], but they require substantial learning curves. Different strategies have been proposed for augmenting the therapeutic capabilities of endoscopes by introducing manipulation aids or add-ons to the endoscope [4]-[6]. Embedding additional functionalities into a system that can be fixed at the tip of the endoscope represent a promising approach for improving current manipulation capabilities without disrupting the current procedure workflow. However, the design and fabrication of tools at these scales introduces several technical challenges, potentially limiting functionality. Recently, we have proposed a soft pop-up hybrid fabrication method as a promising approach for developing mm-scale mechanisms for minimally invasive surgery (MIS), and in particular in [7] we demonstrate a three degree of freedom (DoFs) arm actuated through embedded soft fluidic micro actuators that can be connected to the tip of an endoscope for manipulating endoluminal tissue (Fig. 1). In this paper, we address the design of an end effector for manipulation of endoluminal tissue. Millimeter-scale end effectors that provide safe and effective manipulation presents a challenge for design and manufacturing. Previous work has primarily focused on jaw-like cable-actuated [8] or SMA-based grippers [9]. We propose a soft suction-based gripper that can be integrated at the tip of an arm as represented in Fig.1. The use of vacuum grippers in laparoscopy has been successfully investigated in [10][11], showing reduced skill-dependent damage to the tissues. In addition, Yaw
Comparative Analysis of Improved Cuckoo Search(ICS) Algorithm and Artificial Bee Colony (ABC) Algorithm on Continuous Optimization Problems

This work is related on two well-known algorithm, Improved Cuckoo Search and Artificial Bee Colony Algorithm which are inspired from nature. Improved Cuckoo Search (ICS) algorithm is based on Lévy flight and behavior of some birds and fruit flies and they have some assumptions and each assumption is highly observed to maintain their characteristics. Besides Artificial Bee Colony (ABC) algorithm is based on swarm intelligence, which is based on bee colony with the way the bees maintain their life in that colony. Bees’ characteristics are the main part of this algorithm. This is a theoretical result of this topic and a quantitative research paper. Keywords—Artificial Bee Colony (ABC) algorithm; Bioinformatics; Improved Cuckoo Search (ICS) algorithm; Lévy flight; Meta heuristic; Nature Inspired Algorithms
3-Receiver broadcast channels with common and confidential messages

Achievable secrecy rate regions for the general 3-receiver broadcast channel with one common and one confidential message sets are established. We consider two setups: (i) when the confidential message is to be sent to two of the receivers and the third receiver is an eavesdropper; and (ii) when the confidential message is to be sent to one of the receivers and the other two receivers are eavesdroppers. We show that our secrecy rate regions are optimum for some special cases.
Comparison of pharmacokinetics and dynamics of the long-acting insulin analogs glargine and detemir at steady state in type 1 diabetes: a double-blind, randomized, crossover study.

OBJECTIVE
To compare pharmacokinetics and pharmacodynamics of insulin analogs glargine and detemir, 24 subjects with type 1 diabetes (aged 38 +/- 10 years, BMI 22.4 +/- 1.6 kg/m2, and A1C 7.2 +/- 0.7%) were studied after a 2-week treatment with either glargine or detemir once daily (randomized, double-blind, crossover study).


RESEARCH DESIGN AND METHODS
Plasma glucose was clamped at 100 mg/dl for 24 h after subcutaneous injection of 0.35 unit/kg. The primary end point was end of action (time at which plasma glucose was >150 mg/dl).


RESULTS
With glargine, plasma glucose remained at 103 +/- 3.6 mg/dl up to 24 h, and all subjects completed the study. Plasma glucose increased progressively after 16 h with detemir, and only eight subjects (33%) completed the study with plasma glucose <180 mg/dl. Glucose infusion rate (GIR) was similar with detemir and glargine for 12 h, after which it decreased more rapidly with detemir (P < 0.001). Estimated total insulin activity (GIR area under the curve [AUC](0-end of GIR)) was 1,412 +/- 662 and 915 +/- 225 mg/kg (glargine vs. detemir, P < 0.05), with median time of end of action at 24 and 17.5 h (glargine vs. detemir, P < 0.001). The antilipolytic action of detemir was lower than that of glargine (AUC free fatty acids(0-24 h) 11 +/- 1.7 vs. 8 +/- 2.8 mmol/l, respectively, P < 0.001).


CONCLUSIONS
Detemir has effects similar to those of glargine during the initial 12 h after administration, but effects are lower during 12-24 h.
Social cognition and interaction training (SCIT) for outpatients with schizophrenia: A preliminary study

Social functioning deficits (e.g., social skill, community functioning) are a core feature of schizophrenia. These deficits are only minimally improved via the frontline treatments for schizophrenia (e.g. medication, social skills training, cognitive-behavioral therapy). Social cognition is a promising treatment target in this regard as it may be more strongly related to social functioning outcomes than traditional neurocognitive domains [Couture, S., Penn, D.L., Roberts, D.L., 2006. The functional significance of social cognition in schizophrenia: a review. Schizophrenia Bulletin (Suppl. 1), S-44-63]. Social cognition and interaction training (SCIT) is a 20-week, manualized, group treatment designed to improve social functioning in schizophrenia by way of improved social cognition. This article reports preliminary data from a quasi-experimental study comparing SCIT + treatment as usual (TAU; n=20) to TAU alone (n=11) among outpatients. Results using analysis of variance (ANOVA) suggest SCIT-related improvements in emotion perception and social skill.
Religious and ethnic influences on willingness to donate organs and donor behavior: an Australian perspective.

CONTEXT
Globally, the demand for donated organs outstrips supply, meaning that there are both practical and theoretical reasons for examining factors that are predictive of individuals' willingness to donate their organs upon their death.


OBJECTIVES
To determine whether individuals of different religious denominations living in Australia have different views on organ donation, whether donation attitudes differ significantly across ethnic groups, and whether factors identified in international research are predictors of willingness to donate and actual donor behavior in this population.


PARTICIPANTS
Data for this study were collected from students at an Australian university from a range of religious and ethnic backgrounds, and their friends and relatives (N = 509). Intervention-Participants were administered the Organ Donation Attitude Scale, as well as additional attitudes and knowledge measures.


MAIN OUTCOME MEASURES
Self-reported "willingness to donate" and "donor behavior".


RESULTS
Our findings complemented those reported in comparable countries, with females, younger Australians, and those with high knowledge levels being more willing to donate than males, older persons, and those with low knowledge. Persons who described themselves as having stronger religious beliefs (particularly Buddhist and Islamic) held less favorable attitudes toward donation, had lower knowledge levels, and were more likely to oppose donation.


CONCLUSIONS
Although this study established that attitudes toward, knowledge about, and predictors of organ donation in Australia are similar to those reported elsewhere, donation rates remain low. Further in-depth research examining the impact of religion and culture on attitudes, beliefs, and behavior is essential when exploring strategies to improve organ donation rates in highly multicultural societies such as Australia.
Genome mapping in cassava improvement: Challenges, achievements and opportunities

Breeding goals of yield increases, root quality improvement, and disease resistance in cassava are considerably slowed down by biological characteristics of the crop, which includes a long growth cycle, a heterozygous genetic background and a poor knowledge of the organization of crop diversity. These factors severely hamper the speed and ease of moving around useful genes in cassava. The consequences are that cassava production fails to keep up with demand, especially in regions where over90% of yield is consumed as food, leading to an increase in acreage of cassava fields mostly into marginal lands. The advent of molecular markers,genome studies and plant genetic transformation holds promise of providing ways around breeding obstacles in long growth cycle and heterozygous crops. A number of these new tools, including a molecular genetic map, markers linked to disease resistance genes, and marker-aided studies of complex traits now exist or are being developed for cassava at CIAT. Large scale sequencing and mapping of expressed sequence tags(ESTs) have been initiated, towards a transcript map of cassava and the implementation of the candidate-gene approach to complex trait mapping. A cassava bacterial artificial chromosome (BAC) library has also been constructed to expedite positional cloning of genes, known only by their phenotypes and their position relative to markers on a molecular genetic map and complementation studies of candidate loci. Studies of genes that control traits of agronomic importance, and their allelic diversity in nature,provides powerful tools for understanding the basis of crop performance and improvement.