Miracle-dz/UniFAR-FTUs huggingface dataset:
WACO for Mammogram Classification

Breast cancer is one of the ruinous diseases causing more number of deaths in women. Many efforts are being made to develop efficient techniques to identify the breast cancer at early stage. This paper implements weaver ant colony optimization (WACO) for classifying mammograms. The behavior of weaver ants' to bind the neurons between the layer to make the path to find the output of Neural Network(NN). The unique nest building behavior of Weaver ants' made a considerable remark, NN have proved to be one of the best methods for classification & WACO is used for optimized pathfinding. Each layer of NN is considered as one leaf and the leaves are divided into as many portions equal to the number of neurons,& let ants connect portion of leaf from one layer to another, makes the weight connection in the NN. The task is accomplished by using a NN with a back propagation technique (BPT). To determine the usefulness of WACO based Neural Network (NN)closed nests building behavior made us change the architecture of BPN. Weaver ants show indirect message between ants to find the shortest path between their nest and food sources. These ants ability is to construct nests by weaving together leaves using larval silk . Local Binary Pattern is a method which can be used extract the features for identifying the breast cancer abnormality by mammogram. Multilayer perceptron (MLP) and support vector machine for mammogram classification and mammogram images are preprocessed to reduce noise and detect the background of the mammogram to extract the required features. This paper implements WACO for classifying mammograms. Here we used MIAS database which describes the mammogram is in which stage benign or normal stage
Sensory dissociation in chronic low back pain: Two case reports

ABSTRACT Patients with chronic low back pain often report that they do not perceive their painful back accurately. Previous studies confirmed that sensory dissociation and/or discrepancy between perceived body image and actual size is one of the specific traits of patients with chronic pain. Current approaches for measuring sensory dissociation are limited to two-point-discrimination or rely on pain drawings not allowing for quantitative analysis. This case study reports the sensory dissociation of two cases with chronic low back pain using a recently published test (point-to-point-test (PTP)) and a newly developed test (two-point-estimation (TPE)). Both patients mislocalized tactile stimuli delivered to the painful location compared to non-painful locations (PTP test). In addition, both patients perceived their painful lumbar region differently from non-painful sites above and below and contralateral to the painful site. TPE data showed two distinct clinical patterns of sensory dissociation: one patient perceived the two-point distance in the painful area as expanded, while the other patient perceived it as shrunk. The latter pattern of sensory dissociation (i.e., pattern shrunk) is likely to respond to sensory training. Whether enlarged patterns of sensory dissociation are more resistant to treatment remains unknown but would explain the low effectiveness of previous studies using sensory training in chronic low back pain populations. Subgrouping patients according to their sensory discrimination pattern could contribute to the choice and effectiveness of the treatment approach.
Intelligent analysis method of automatic welding quality based on X-ray imaging 1

In the oil engineering construction and operation maintenance project, welding and nondestructive testing are the key construction processes. The timeliness and accuracy of welding quality analysis are important guarantees for the quality of petroleum engineering construction. Most of the petroleum engineering work environment is very complex. The welding quality of conventional detection technology has been unable to meet the demand, therefore, the automatic welding quality analysis based on X-ray imaging has become the main research technique at home and abroad. Under this background, in this paper, the welding quality analysis technology and the research status of X-ray image acquisition technology in China and abroad were analyzed; the principles of X-ray welding and the key technologies of visual inspection were analyzed; evaluation index was proposed for X ray imaging based on the welding quality; wireless transmission network based on regression model of welding was used, quality evaluation was optimized; through simulation experiment, its accuracy and feasibility were analyzed. This research has made certain contributions to the intelligent analysis method of automatic welding quality based on X-ray imaging.
An efficient catadioptric sensor calibration based on a low-cost test-pattern

This article presents an innovative calibration method for a panoramic vision sensor which is dedicated to the three-dimensional reconstruction of an environment with no prior knowledge. We begin this paper by a detailed presentation of the architecture of the sensor. We mention the general features about central catadioptric sensors and we clarify the fixed viewpoint constraint. Next, a large description of the previous panoramic calibration techniques is given. We mention the different postulates which lead us to envisage the method of calibration presented in this paper. A description of the low-cost calibration test pattern is given. The algorithmic approach developed is detailed. We present the results obtained. Finally, the last part is devoted to the result reviewing.
Coronary heart disease The functional reserve of collaterals supplying long-term chronic total coronary occlusions in patients without prior myocardial infarction

Aims Chronic total coronary occlusions (CTOs) with angiographically well-developed collaterals may be considered to provide sufficient blood supply to the occluded segment, and the indication for revascularization may be questioned. Therefore, the collateral function and functional reserve in patients with a CTO without a prior Q-wave myocardial infarction (MI) were assessed. Methods and results Invasive assessment of collateral function was done during successful percutaneous coronary intervention in 107 patients with a CTO and no prior Q-wave MI. Intracoronary Doppler flow velocity and pressure recordings were obtained distal to the occlusion before the first balloon inflation and collateral function indexes calculated. In 62 patients, additional pharmacological stress testing was done by intravenous adenosine (140 mg/kg/min) to assess the collateral flow reserve. Patients with normal and impaired regional dysfunction were compared. Collateral function was similar in patients with and without regional left ventricular (LV) dysfunction. In both groups, 78% collaterals provided a collateral pressure index at baseline . 0.3, sufficient to prevent ischaemia during a balloon occlusion, with a minimum of 0.2 in those with preserved LV function. A Doppler-derived function index showed a wider variation due to the high prevalence of microvascular dysfunction in CTOs. Only 7% of patients had an increase in collateral flow reserve . 2.0 during pharmacological stress, whereas coronary steal occurred in one-third independent of regional LV function. Conclusion A limited increase in collateral flow and the high prevalence of coronary steal during stress underscore the functional limitation of collaterals in CTOs without prior Q-wave MI. Even presumably ‘well-collateralized’ CTOs may benefit from a revascularization.
Effects of positive and negative lens treatment on retinal and choroidal glucagon and glucagon receptor mRNA levels in the chicken.

PURPOSE It has been found in the chicken that the amount of retinal glucagon mRNA increases during treatment with positive lenses. Pharmacological studies support the idea that glucagon may act as a stop signal for visually induced eye growth. To gain more insight into the functional role of glucagon, the changes of glucagon and glucagon receptor mRNA concentrations in retina and choroid over time were studied. Furthermore, the abundance of glucagon and the glucagon receptor was studied in different fundal layers (retina, retinal pigment epithelium[RPE], choroid) and the blood. METHODS Semiquantitative real-time RT-PCR was used to measure glucagon and glucagon receptor mRNA levels in retina and choroid after positive and negative lens treatment for 2, 6, or 24 hours, by unilateral -7- or +7-D lenses. Contralateral eyes served as the control, and completely untreated animals provided further reference data. Intravitreal colchicine injections (which are known to reduce the number of glucagon cells sharply) were used to verify that the related decline in glucagon mRNA could be measured by real-time RT-PCR. RESULTS In the retina, treatment with -7-D lenses induced an initial upregulation of glucagon mRNA in both eyes, followed by a significant downregulation. The treatment with +7-D lenses showed a significant but transient downregulation in the control eye superimposed on a trend toward upregulation in the treated eye. However, the changes in glucagon mRNA expression were not confined to the lens-treated eyes but were also found, although sometimes to a lesser extent, in the non-lens-covered fellow eyes. There was evidence of a transient increase in glucagon receptor mRNA levels in lens-treated eyes after either -7- or +7-D lens wear. In the choroid, no effect of imposed defocus was detected. The injection of colchicine led to the destruction of approximately 75% of the glucagon amacrine cells but the mRNA level of retinal glucagon decreased by only approximately 50%. Glucagon receptor expression was found to be higher in the RPE than the retina and choroid whereas, in the blood, glucagon and glucagon receptor mRNA expression was below detection level. CONCLUSIONS The observed bidirectional regulation of glucagon mRNA in correlation with the sign of imposed defocus supports the idea that glucagon may act as a stop-and-go signal for eye growth. This is in line with a previous proposal based on studies of changes of the glucagon peptide content.
Cooperative resource pooling in multihomed mobile networks

The ubiquity of multihoming amongst mobile devices presents a unique opportunity for users to co-operate, sharing their available Internet connectivity, forming multihomed mobile networks on demand. This model provides users with vast potential to increase the quality of service they receive. Despite this, such mobile networks are typically underutilized and overly restrictive, as additional Internet connectivity options are predominantly ignored and selected gateways are both immutable and incapable of meeting the demand of the mobile network. This presents a number of research challenges, as users look to maximize their quality of experience, while balancing both the financial cost and power consumption associated with utilizing a diverse set of heterogeneous Internet connectivity options. In this thesis we present a novel architecture for mobile networks, the contribution of which is threefold. Firstly, we ensure the available Internet connectivity is appropriately advertised, building a routing overlay which allows mobile devices to access any available network resource. Secondly, we leverage the benefits of multipath communications, providing the mobile device with increased throughput, additional resilience and seamless mobility. Finally, we provide a multihomed framework, enabling policy driven network resource management and path selection on a per application basis. Policy driven resource management provides a rich and descriptive approach, allowing the context of the network and the device to be taken into account when making routing decisions at the edge of the Internet. The aim of this framework, is to provide an efficient and flexible approach to the allocation of applications to the optimal network resource, no matter where it resides in a mobile network. Furthermore, we investigate the benefits of path selection, facilitating the policy framework to choose the optimal network resource for specific applications. Through our evaluation, we prove that our approach to advertising Internet connectivity in a mobile network is both efficient and capable of increasing the utilization of the available network capacity. We then demonstrate that our policy driven approach to resource management and path selection can further improve the user’s quality of experience, by tailoring network resource usage to meet their specific needs.
Automatic Extraction of Breast Region in Raw Mammograms Using a Combined Strategy

Breast region segmentation is a preliminary task in computer-aided-diagnosis (CAD) systems for breast cancer detection. Its accurate extraction improves CAD performances in terms of false positive and computation time. This paper presents a method for automatic breast region extraction in raw mammograms using a two-step strategy. First, a contrast-correction is applied to uniform gray level in breast region then a clustering algorithm is used to assign pixels to their respective class distribution prior to breast region segmentation. The performances of the proposed method tested on images from MIAS database are 95.6%, 96.0% and 99.8% for accuracy, completeness and correctness respectively.
Logistics Transportation Routing Research about Agricultural Products based on Improved Genetic Algorithm

In view of the characteristics of agricultural products distribution and logistics path selection in our country, an abstract mathematical model is established according to the characteristics of rural areas and the transportation characteristics of agricultural products in china. Logistics delivery cost minimization is taken as the goal to solve logistics problems. On the basis of the traditional genetic algorithm, the algorithm is optimized in this paper. The triangular cosine function is used to make the crossover probability and mutation probability adaptively change. Finally, the simulation and coding are used to solve the problem. The improved genetic algorithm has faster convergence speed and smaller target value of the optimal solution. The research has a good application prospect and practical value.
Performance Evaluation Framework for IT/IS Based Asset Management

Engineering assets managing businesses use a variety of information and communication technologies for process efficiency, control, and management. Nevertheless, key to all these is the effective measurement of the IT/IS utilisation for existing process such that the underperforming areas are highlighted, and corrective actions are taken to achieve optimal use of IS/IT. There are a variety of performance measurement mechanisms available that stimulate improvement efforts, in so doing helping businesses to translate perceived business strategy into action. However, these approaches are mostly aimed at high level evaluation of an organisation’s performance; whereas the stochastic nature and ever expanding scope of asset management processes demands asset managers to have a comprehensive view of asset lifecycle and the interacting business areas. This paper proposes an evaluation framework for IT/IS based asset management in an engineering enterprise. The paper firstly seeks to present a critique of the asset management paradigm. It then discusses available performance measurement mechanisms and develops a case for the constituents of an effective asset management measurement framework that provides detailed indicators for controls actions required to achieve optimal process efficiency through the use of IT/IS. The paper, then, presents an integrated asset performance measurement framework that not only is derived from business strategy, but informs strategy formulation through a closed loop learning encompassing entire asset management lifecycle.
Upregulation of Apoptosis Pathway Genes in Peripheral Blood Mononuclear Cells of HIV-Infected Individuals with Antiretroviral Therapy-Associated Mitochondrial Toxicity

ABSTRACT A case-control study of the effect of antiretroviral therapy (ART) on apoptosis pathway genes comprising 16 cases (HIV infected with mitochondrial toxicity) and 16 controls (HIV uninfected) was conducted. A total of 26 of 84 genes of the apoptosis pathway were differentially expressed. Two of the upregulated genes, DFFA and TNFRSF1A, classified 75% of study participants correctly as either a case or control. Thus, apoptosis may be in the causal pathway of ART-associated mitochondrial toxicity. These two genes could be markers for detecting and monitoring ART-induced mitochondrial toxicity.
Experimental Study on the Wake Characteristics of Vane-Type Vortex Generators in a Flat Plate Turbulent Boundary Layer

An experimental investigation was conducted to identify the wake characteristics downstream of various vane-type vortex generators using the stereoscopic particle image velocimetry over turbulent flat plate boundary layer. We considered three different planform shapes of vortex generator: triangular, trapezoidal, and rectangular shape. The height of the generator was chosen to be about the boundary layer thickness at the position of its installation. Two different lengths of the generator were chosen: two and five times the height. Wake measurements were carried out at three angles of attack for each configuration. Wake characteristics for each case such as overall vortical structure, vorticity distribution, and location of vortex center with downstream distance were obtained from the PIV data, and are compared one another. Wake characteristics, as expected, were found to vary strongly with the geometry and angle of attack so that no general tendency could be deduced. Key-Words: Vortex Generator, Wake Characteristics, Stereoscopic-PIV, Wind Tunnel, Vorticity
Crystallization of a Complex Plasma Under Gravity Conditions in Dependence of Pressure

The crystallization of a 3-D complex plasma under gravity conditions at different gas pressures is investigated. Three different methods are applied to determine the phase state of the complex plasma: the pair correlation, the nonspherical distribution (which uses the geometric properties of the Voronoi cells of each particle), and an improvement of the scalar product of the local bond-order parameter (SPBOP). All criteria are in accordance with that the complex plasma is in solid at low and in liquid state at high pressure.
Facility Management in the Context of Self-Organisation

Nowadays there is a rise of complexity in most areas of planning, managing and executing modern production systems. One part is the facility management. Processes such as approval and maintenance in the production systems environment are important for modern companies. These processes generate enormous data during the lifecycle of a production system. The approach of self-organisation supports the handling of these data among others. In this position paper, a concept of a modern facility management with semantic technologies and augmented reality will be introduced at the beginning. Then a definition of three different conceptual use cases of self-organisation in the context of facility management will be illustrated. At the end, the adaption of contexts for supporting self-organized systems will be shown in this conceptual paper.
An efficient texture generation technique for human head cloning and morphing

This paper presents a technique to efficiently generate a parameterized full-head texture from a single face image of the scanned data for modeling photorealistic 3D heads. We automatically register face scans in a database by deforming a generic head mesh to fit the specific person’s face geometry with a volume morphing approach. After the face texture is transferred onto it, the 3D generic mesh is parameterized over a 2D texture domain to establish a correspondence between all the scanned textures. After having performed a vertex-toimage binding for all vertices of the head mesh, we automatically generate a full-head texture using color interpolation for unbound regions and weighted average splines for visual boundary removal. We also use a deformation method to extract ear textures from the input image for texturing individual ears. With the exception of the initial feature point selection, our method is fully automated. We show photorealistic and real-time head rendering and morphing with the resulting texture.
Process Ontology Specification for Enhancing the Process Compliance of a Measurement and Evaluation Strategy

In this paper, we specify a generic ontology for the process domain considering the related state-of-the-art research literature. As a result, the recently built process ontology contributes to enrich semantically the terms for the (previously developed) measurement and evaluation domain ontology by means of stereotypes. One of the underlying hypothesis in this research is that the generic ontology for process can be seen as a reusable artifact which can be used to enrich semantically not only the measurement and evaluation domain ontology but also to other domains involved in different organizational endeavors. For instance, for the measurement domain, now is explicit that the measurement term has the semantic of task, the measure term has the meaning of outcome, and the metric term has the semantic of method, from the process terminological base standpoint. The augmented conceptual framework, i.e. measurement and evaluation concepts plus process concepts, has also a positive impact on the GOCAME (Goal-Oriented Context-Aware Measurement and Evaluation) strategy capabilities since ensures terminological uniformity, consistency and verifiability to its process and method specifications. In order to illustrate how the augmented conceptual framework impacts on the verifiability of GOCAME process and method specifications in addition to the consistency and comparability of results in measurement and evaluation projects, an ICT (Information and Communications Technology) security and risk evaluation case study is used.