Template Database Research Articles

Oncoplastic breast surgery: a regional Australian 2012 fellowship experience

Oncoplastic breast surgery (OBS) is a developing subspecialty, although many countries are struggling with how to incorporate training in OBS as part of the established breast surgery subspecialization pathways. UK and Brazil have surged ahead with established formal training programmes, whereas countries such as Australia still rely on ad hoc training by interested surgeons. Our aim was to review the possibility of including regional training centres with appropriate OBS expertise into a future formal training programme in OBS. An 11-month self-audit was performed by the Fellow based in Port Macquarie, in a Breast Surgeons Society of Australia and New Zealand Incorporated accredited Fellowship. The audit template and reconstructive database, which were utilized in this study were supplied by Breast Surgeons Society of Australia and New Zealand Incorporated. OBS procedures made up 41% of total breast procedures performed, with 46% of these being performed by the Fellow. These oncoplastic procedures included 22 reconstructive breast procedures, with 15 (68%) being performed by the Fellow. These procedures involved mainly pedicle transverse rectus abdominis myocutaneous flap reconstruction after mastectomy and breast implant reconstruction techniques. Minor and major complications accounted for a small percentage of operated cases and are discussed. Current British Association of Surgical Oncology (BASO) guidelines specify recommendations regarding BASO Level I and II OBS training, experience and exposure. Based on the experience during the fellowship presented in this audit, we discuss the merits of using regional Australian hospitals like Port Macquarie Base Hospital to make up the cohort of BASO Level I units to provide the core foundation experience in OBS to the next generation of Australian oncoplastic breast fellows.

Fully Private Noninteractive Face Verification

Face recognition is one of the foremost applications in computer vision, which often involves sensitive signals; privacy concerns have been raised lately and tackled by several recent privacy-preserving face recognition approaches. Those systems either take advantage of information derived from the database templates or require several interaction rounds between client and server, so they cannot address outsourced scenarios. We present a private face verification system that can be executed in the server without interaction, working with encrypted feature vectors for both the templates and the probe face. We achieve this by combining two significant contributions: 1) a novel feature model for Gabor coefficients' magnitude driving a Lloyd-Max quantizer, used for reducing plaintext cardinality with no impact on performance; 2) an extension of a quasi-fully homomorphic encryption able to compute, without interaction, the soft scores of an SVM operating on quantized and encrypted parameters, features and templates. We evaluate the private verification system in terms of time and communication complexity, and in verification accuracy in widely known face databases (XM2VTS, FERET, and LFW). These contributions open the door to completely private and noninteractive outsourcing of face verification.

Methodologies for assembling and interrogating N, P, K, and S soil test calibrations for Australian cereal, oilseed and pulse crops

During the past 50 years, 3800 field experiments yielding over 5200 treatment series were conducted in Australia examining yield responses to applied N, P, K, or S fertiliser applications to cereal, oilseed and pulse crops. The experiments all had accompanying soil test data. These data were entered into multiple Microsoft Access® database templates and then consolidated into a single national online MYSQL® database. A web application (named the BFDC Interrogator) was also developed to rapidly access the national database (BFDC National Database) and construct soil test calibrations between percentage of the maximum grain yield achieved (hereafter called percentage relative yield) and soil test values recorded for specified ranges of regional or national experiments. Search parameters were applied to define soil test calibrations. These included farming system (dryland or irrigated), year of experiment, soil type, crop type, soil test, depth of soil sampling and soil test units. Other data filters based on site metadata, such as method of nutrient placement, can be applied to enable more definitive calibrations. The calibrations are used to derive critical soil test values at 80, 90 and 95% relative crop yield with 95% confidence limits. However, the soil test criteria at 90% relative crop yield with 70% confidence limits have been chosen as the single calibration and reliability standard for all crops and soil tests. Corresponding yield increase (t/ha)–soil test relationships for an applied nutrient can also be accessed. The BFDC National Database and BFDC Interrogator can now be accessed online by trained, registered users. This paper describes the methodologies that underpinned the progressive development of this tool. Through the commitment of the grains and fertiliser industries, it is anticipated that the calibrations will be used to improve decision support systems used to generate fertiliser recommendations for Australian cropping industries.

Study on Crushing Machinerys Rapid Design System Based on Generalized Modular

In order to respond quickly to meet market demand of crushing machinery, shorten development cycles of products and reduce design cost, rapid design system is introduced. According to the features of crushing machinery and the division method of product modules, interfaces have been studied and proposed using the theory of generalized modular design and flexible module instead of traditional module. The general structure of software is put forward by analyzing the design procedures. A template database, an example database and pars database are built using Visual Studio 2008, Sql Server 2000 and Solidworks. In this article, an example is used to verify its feasibility.

The influence of speckle on high resolution range profile recognition based on the matching score

Template database is the key to radar automation target recognition based on High Resolution Range Profile (HRRP). From the traditional perspective, average HRRP is a valid template for it can represent each HRRP without scatterer Moving Through Range Cell (MTRC). However, template database based on this assumption is always challenged by measured data. One reason is that speckle happens in the frame without scatterer MTRC. Speckle makes HRRP fluctuate sharply and not match well with the average HRRP. We precisely introduce the formation mechanism of speckle. Then, we make an insight into the principle of matching score. Based on the conclusion, we study the properties of matching score between speckled HRRP and the average HRRP. The theoretical analysis and Monte Carlo experimental results demonstrate that speckle makes HRRP not to match well with the average HRRP according to the energy ratio of speckled scatterers. On the assumption of ideal scattering centre model, speckled HRRP has a matching score less than 85% with the average HRRP if speckled scatterers occupy more than 50% energy of the target.

MoNetFamily: a web server to infer homologous modules and module–module interaction networks in vertebrates

A module is a fundamental unit forming with highly connected proteins and performs a certain kind of biological functions. Modules and module–module interaction (MMI) network are essential for understanding cellular processes and functions. The MoNetFamily web server can identify the modules, homologous modules (called module family) and MMI networks across multiple species for the query protein(s). This server first finds module candidates of the query by using BLASTP to search the module template database (1785 experimental and 1252 structural templates). MoNetFamily then infers the homologous modules of the selected module candidate using protein–protein interaction (PPI) families. According to homologous modules and PPIs, we statistically calculated MMIs and MMI networks across multiple species. For each module candidate, MoNetFamily identifies its neighboring modules and their MMIs in module networks of Homo sapiens, Mus musculus and Danio rerio. Finally, MoNetFamily shows the conserved proteins, PPI profiles and functional annotations of the module family. Our results indicate that the server can be useful for MMI network (e.g. 1818 modules and 9678 MMIs in H. sapiens) visualizations and query annotations using module families and neighboring modules. We believe that the server is able to provide valuable insights to determine homologous modules and MMI networks across multiple species for studying module evolution and cellular processes. The MoNetFamily sever is available at http://monetfamily.life.nctu.edu.tw.

A Ship General Integrated Design Platform Based on Digital Ship

A ship general design platform is established in order to satisfy the requirement integrating design, analysis and optimization in ship design process. A design-analysis unified connected model is developed based on digital ship idea and a ship general design platform frame system is formed based on the template technology. In the preliminary application process, a design tool database and an applicative template database are established. That the reliability proves to be good is significant for promoting traditional design method and improving design efficiency.

Biometric Cryptosystem Involving Two Traits And Palm Vein As Key

The proposed scheme involves an idea of including three biometric traits of a person where in the sense even if one fails the other trait could be utilised for verification or identity. Moreover the concept of cryptosystem is involved, where one of the biometric trait – the palm vein itself acts as a key to utilise the stored template database. The main idea in using one of the biometric trait as a key is that under any circumstance no two palm veins match unless it belong to same person. It is a valid key which no one can steal or misuse.

GIS Database Template for Environmental Management of Mining in Indonesia

Mining sector in Indonesia faces many challenges including needed to support national economy, compliance to central and local government regulations, local community empowerment and environmental impact management. Mining companies are mandatory to perform the environmental management efforts to minimize the negative impact to the environment and pursue sustainability of post-mining land use and as much as possible to restore land to the initial conditions. There are many challenges on management multi parameter and multi temporal spatial data of environmental management. The aim of this research is to design the GIS database template for environmental management in Indonesia’s mining operation. This GIS database is designed using ArcCatalog ArcGIS 9.3 software, through following steps: inventory and assessment government regulations, inventory and assessment environmental quality standards, sorting and grouping parameters, design feature class and attribute, create GIS database, create GIS database dictionary. According to research result, GIS database template has many advantages for environmental management include integrated into a single database, avoid redundancy data, reduce volume data, uniformity data, easy to find and track data, integrated spatial and attribute data, can be used as an input for GIS analysis for decision-making and development strategies.

Evaluation of Electrocardiogram for Biometric Authentication

This paper presents an evaluation of a new biometric electrocardiogram (ECG) for individual authentication. We report the potential of ECG as a biometric and address the research concerns to use ECG-enabled biometric authentication system across a range of conditions. We present a method to delineate ECG waveforms and their end fiducials from each heartbeat. A new authentication strategy is proposed in this work, which uses the delineated features and taking decision for the identity of an individual with respect to the template database on the basis of match scores. Performance of the system is evaluated in a unimodal framework and in the multibiometric framework where ECG is combined with the face biometric and with the fingerprint biometric. The equal error rate (EER) result of the unimodal system is reported to 10.8%, while the EER results of the multibiometric systems are reported to 3.02% and 1.52%, respectively for the systems when ECG combined with the face biometric and ECG combined with the fingerprint biometric. The EER results of the combined systems prove that the ECG has an excellent source of supplementary information to a multibiometric system, despite it shows moderate performance in a unimodal framework. We critically evaluate the concerns involved to use ECG as a biometric for individual authentication such as, the lack of standardization of signal features and the presence of acquisition variations that make the data representation more difficult. In order to determine large scale performance, individuality of ECG remains to be examined.

Developing a Stone Database for Clinical Practice

Our objective was to design an intranet-based database to streamline stone patient management and data collection. The system developers used a rapid development approach that removed the need for laborious and unnecessary documentation, instead focusing on producing a rapid prototype that could then be altered iteratively. By using open source development software and website best practice, the development cost was kept very low in comparison with traditional clinical applications. Information about each patient episode can be entered via a user-friendly interface. The bespoke electronic stone database removes the need for handwritten notes, dictation, and typing. From the database, files may be automatically generated for clinic letters, operation notes. and letters to family doctors. These may be printed or e-mailed from the database. Data may be easily exported for audits, coding, and research. Data collection remains central to medical practice, to improve patient safety, to analyze medical and surgical outcomes, and to evaluate emerging treatments. Establishing prospective data collection is crucial to this process. In the current era, we have the opportunity to embrace available technology to facilitate this process. The database template could be modified for use in other clinics. The database that we have designed helps to provide a modern and efficient clinical stone service.

Development of an aquatic pathogen database (AquaPathogen X) and its utilization in tracking emerging fish virus pathogens in North America

The AquaPathogen X database is a template for recording information on individual isolates of aquatic pathogens and is freely available for download (http://wfrc.usgs.gov). This database can accommodate the nucleotide sequence data generated in molecular epidemiological studies along with the myriad of abiotic and biotic traits associated with isolates of various pathogens (e.g. viruses, parasites and bacteria) from multiple aquatic animal host species (e.g. fish, shellfish and shrimp). The cataloguing of isolates from different aquatic pathogens simultaneously is a unique feature to the AquaPathogen X database, which can be used in surveillance of emerging aquatic animal diseases and elucidation of key risk factors associated with pathogen incursions into new water systems. An application of the template database that stores the epidemiological profiles of fish virus isolates, called Fish ViroTrak, was also developed. Exported records for two aquatic rhabdovirus species emerging in North America were used in the implementation of two separate web-accessible databases: the Molecular Epidemiology of Aquatic Pathogens infectious haematopoietic necrosis virus (MEAP-IHNV) database (http://gis.nacse.org/ihnv/) released in 2006 and the MEAP- viral haemorrhagic septicaemia virus (http://gis.nacse.org/vhsv/) database released in 2010.

Good outcome in every fourth resuscitation attempt is achievable—An Utstein template report from the Stavanger region

Aim of the study Out-of-hospital cardiac arrest (OHCA) is a major cause of death in the western world. We wanted to study changes in survival over time and factors linked to this in a region which have already reported high survival rates. Methods We used a prospectively collected Utstein template database to identify all resuscitation attempts in adult patients with OHCA of presumed cardiac origin. We included 846 resuscitation attempts and compared survival to discharge with good outcome in two time periods (2001–2005 vs. 2006–2008). Results We found no significant differences between the two time periods for mean age (71 and 70 years ( p = 0.309)), sex distribution (males 70% and 71% ( p = 0.708)), location of the OHCA (home 64% and 63% ( p = 0.732)), proportion of shockable rhythms (44% and 47% ( p = 0.261)) and rate of return of spontaneous circulation (38% and 43% ( p = 0.136)), respectively. Bystander cardiopulmonary resuscitation (CPR), however, increased significantly from 60% to 73% ( p < 0.0001), as did the overall rate of survival to discharge from 18% to 25% ( p = 0.018). In patients with a shockable first rhythm, rate of survival to discharge increased significantly from 37% to 48% ( p = 0.036). In witnessed arrest with shockable rhythm survival to discharge increased from 37% to 52% ( p = 0.0105). Conclusion Overall, good outcome is now achievable in every fourth resuscitation attempt and in every second resuscitation attempt when patients have a shockable rhythm. The reason for the better outcomes is most likely multi-factorial and linked to improvements in the local chain of survival.

Neurodevelopmental MRI brain templates for children from 2 weeks to 4 years of age

Spatial normalization and segmentation of pediatric brain magnetic resonance images (MRI) data with adult templates may impose biases and limitations in pediatric neuroimaging work. To remedy this issue, we created a single database made up of a series of pediatric, age-specific MRI average brain templates. These average, age-specific templates were constructed from brain scans of individual children obtained from two sources: (1) the NIH MRI Study of Normal Brain Development and (2) MRIs from University of South Carolina's McCausland Brain Imaging Center. Participants included young children enrolled at ages ranging from 8 days through 4.3 years of age. A total of 13 age group cohorts spanning the developmental progression from birth through 4.3 years of age were used to construct age-specific MRI brain templates (2 weeks, 3, 4.5, 6, 7.5, 9, 12, 15, 18 months, 2, 2.5, 3, 4 years). Widely used processing programs (FSL, SPM, and ANTS) extracted the brain and constructed average templates separately for 1.5T and 3T MRI volumes. The resulting age-specific, average templates showed clear changes in head and brain size across ages and between males and females, as well as changes in regional brain structural characteristics (e.g., myelin development). This average brain template database is available via our website (http://jerlab.psych.sc.edu/neurodevelopmentalmridatabase) for use by other researchers. Use of these age-specific, average pediatric brain templates by the research community will enhance our ability to gain a clearer understanding of the early postnatal development of the human brain in health and in disease.

Intelligent computer vision system for segregating recyclable waste papers

This article explores the application of image processing techniques in recyclable waste paper sorting. In recycling, waste papers are segregated into various grades as they are subjected to different recycling processes. Highly sorted paper streams facilitate high quality end products and save processing chemicals and energy. From 1932 to 2009, different mechanical and optical paper sorting methods have been developed to fill the paper sorting demand. Still, in many countries including Malaysia, waste papers are sorted into different grades using a manual sorting system. Because of inadequate throughput and some major drawbacks of mechanical paper sorting systems, the popularity of optical paper sorting systems has increased. Automated paper sorting systems offer significant advantages over human inspection in terms of worker fatigue, throughput, speed, and accuracy. This research attempts to develop a smart vision sensing system that is able to separate the different grades of paper using first-order features. To construct a template database, a statistical approach with intra-class and inter-class variation techniques are applied to the feature selection process. Finally, the K-nearest neighbor (KNN) algorithm is applied for paper object grade identification. The remarkable achievement obtained with the method is the accurate identification and dynamic sorting of all grades of papers using simple image processing techniques.

Identification of a Residue in Helix 2 of Rice Plasma Membrane Intrinsic Proteins That Influences Water Permeability

Molecular selection, ion exclusion, and water permeation are well known regulatory mechanisms in aquaporin. Water permeability was found to be diverse in different subgroups of plasma membrane intrinsic proteins (PIPs), even though the residues surrounding the water holes remained the same across the subgroups. Upon homology modeling and structural comparison, a conserved Ala/Ile(Val) residue difference was identified in helix 2 that affected the conformation of the NPA region and consequently influenced the water permeability. The residue difference was found to be conservative within the two subgroups of PIPs in rice as well as in other plants. Functional tests further confirmed the prediction via site-directed mutagenesis where replacement of Ala(103) or Ala(102) in respective OsPIP1;1 or OsPIP1;3 with Val yielded 7.0- and 2.2-fold increases in water transportation, and substitution of Ile(98) or Val(95) in respective OsPIP2;3 or OsPIP2;7 with Ala resulted in 73 or 52% reduction of water transportation. Based on structural analyses and molecular dynamics simulations, we proposed that the difference in water permeability was attributed to the orientation variations of helix 2 that modified water-water and water-protein interactions.

PCFamily: a web server for searching homologous protein complexes

The proteins in a cell often assemble into complexes to carry out their functions and play an essential role of biological processes. The PCFamily server identifies template-based homologous protein complexes [called protein complex family (PCF)] and infers functional modules of the query proteins. This server first finds homologous structure complexes of the query using BLASTP to search the structural template database (11 263 complexes). PCFamily then searches the homologous complexes of the templates (query) from a complete genomic database (Integr8 with 6 352 363 protein sequences in 2274 species). According to these homologous complexes across multiple species, this sever infers binding models (e.g. hydrogen-bonds and conserved amino acids in the interfaces), functional modules, and the conserved interacting domains and Gene Ontology annotations of the PCF. Experimental results demonstrate that the PCFamily server can be useful for binding model visualizations and annotating the query proteins. We believe that the server is able to provide valuable insights for determining functional modules of biological networks across multiple species. The PCFamily sever is available at http://pcfamily.life.nctu.edu.tw.

Research and Implementation of Smart Banknote Counter Self-Learning System

In the event of a new version of financial markets, realistic counterfeit money, and only rely on manufacturers to upgrade the software in order to re-identify the class counter counterfeit money, proposed to establish a banknote counter self-learning system. The article mainly describes the specific implementation method of banknote counter being on line self-learning ability, through establishing feature vector template database of banknotes, using the template matching algorithm to identify genuine and fake of banknotes. Experiments show that the smart banknote counter designed in the method has self-learning abilities for fake banknotes, can implement specific anti-counterfeiting, being greatly increase accuracy of identification falsity.

Efficient Human Action and Gait Analysis Using Multiresolution Motion Energy Histogram

Average Motion Energy (AME) image is a good way to describe human motions. However, it has to face the computation efficiency problem with the increasing number of database templates. In this paper, we propose a histogram-based approach to improve the computation efficiency. We convert the human action/gait recognition problem to a histogram matching problem. In order to speed up the recognition process, we adopt a multiresolution structure on the Motion Energy Histogram (MEH). To utilize the multiresolution structure more efficiently, we propose an automated uneven partitioning method which is achieved by utilizing the quadtree decomposition results of MEH. In that case, the computation time is only relevant to the number of partitioned histogram bins, which is much less than the AME method. Two applications, action recognition and gait classification, are conducted in the experiments to demonstrate the feasibility and validity of the proposed approach.

Biometric Authentication System Using Non-linear Chaos

A major concern nowadays for any Biometric Credential Management System is its potential vulnerability to protect its information sources; i.e. protecting a genuine user's template from both internal and external threats. These days' biometric authentication systems face various risks. One of the most serious threats is the vulnerability of the template's database. An attacker with access to a reference template could try to impersonate a legitimate user by reconstructing the biometric sample and by creating a physical spoof. Susceptibility of the database can have a disastrous impact on the whole authentication system. The potential disclosure of digitally stored biometric data raises serious concerns about privacy and data protection. Therefore, we propose a method which would integrate conventional cryptography techniques with biometrics. In this work, we present a biometric crypto system which encrypts the biometric template and the encryption is done by generating pseudo random numbers, based on non-linear dynamics.