We give a straightforward computable-model-theoretic definition of a property of Δ02 sets called order-computability. We then prove various results about these sets which suggest that, simple though the definition is...
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Digital breast tomosynthesis (DBT) is a three-dimensional imaging technique providing an arbitrary set of reconstruction planes in the breast with limited series of projection images. This paper describes a comparison...
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The Department of Technology Systems (TSYS) at East Carolina University has implemented a new faculty mentoring process to enable junior faculty members to learn from senior faculty members as they prepare for a caree...
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The Department of Technology Systems (TSYS) at East Carolina University has implemented a new faculty mentoring process to enable junior faculty members to learn from senior faculty members as they prepare for a career in academia. Five tenured professors and associate professors in the TSYS department have recently established a new process to mentor faculty members within the department who have begun not yet completed their initial tenure process at a major university. This process includes a series of workshops regarding academic performance expectations during the early stages of an academic career. Our commitment to new faculty takes on several related, yet distinct features. Examples of these initiatives include: 1) reduced workloads for new faculty for the first two years to enable them to generate individual and collaborative research activities, funded grants, and publications, 2) periodic university-wide training to learn policies and procedures that affect day-to-day activities on a college campus, 3) periodic workshops hosted by senior faculty mentors, and 4) one-on-one discussions between senior faculty members and junior faculty members to encourage candid dialogue between professional colleagues. Another feature of the mentorship philosophy is a proposal to the dean of the college to offer newly hired faculty a contractual start date of July 1steach year instead of starting their contract one week prior to the start of fall classes, normally in late August. This additional period of time will be used to train new faculty in essential policies and procedures, to complete a variety of administrative tasks on campus, to get a head start on preparing for classes in the fall, and cleaning up those supplemental tasks that accompany every move to a new location. The goal of this early commitment to new faculty is to reduce the stress associated with preparing for a new course, in a new environment, with a new set of operating procedures. This will also enab
The following article presents a computational methodology to assist the assessment of tympanic pathologies, particularly chronic otitis media, based on digital otoscopic images. A computational system which implement...
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The following article presents a computational methodology to assist the assessment of tympanic pathologies, particularly chronic otitis media, based on digital otoscopic images. A computational system which implements the methodology is described. This approach does not impose additional effort to the acquisition protocol and diagnosis of tympanic pathologies. In preliminary tests, it has shown precision and easiness of use. The presented methodology and system were tested by the Otitis Media Center of Brazil (***) with a case base of 660 patients, resulting in 1320 bilateral tympanic images.
It is well known that the quality of service provided by a telecommunication network as measured by the probability of blocking decreases rapidly when the incident traffic exceeds the design limits of the network. A h...
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This paper is concerned with the risks associated with the software development process. A model (GRisk-Modeo is proposed for the management of such risks and a software tool (GRisk-Tool), developed to support the mod...
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ISBN:
(纸本)0387393870
This paper is concerned with the risks associated with the software development process. A model (GRisk-Modeo is proposed for the management of such risks and a software tool (GRisk-Tool), developed to support the model, is described. Both the method and the tool were created with the participation of senior managers and software engineers of software factories. The model and the tool serve as effective instruments for achieving the continuous improvement of software processes and products.
Current mammographic screening for breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Be...
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Current mammographic screening for breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Because the data set was very noisy and contained only weak features, we used a classifier designed for noisy data: decision fusion. Decision fusion outperformed both a support vector machine (SVM) and linear regression with forward stepwise feature selection on all three two-class classification tasks: normal tissue vs. cancer, normal tissue vs. benign lesions, and benign lesions vs. cancer. Decision fusion detected cancer moderately well (AUC=0.84 on normal vs. cancer), demonstrating promise as a screening tool. Decision fusion also detected benign lesions similarly well (AUC=0.83 on normal vs. benign lesions) and was the only classifier to achieve any success in separating benign from malignant lesions (AUC=0.64 on benign vs. cancer). The classification results suggest that the assayed proteins are more indicative of a secondary effect, such as immune response, rather than specific for breast cancer. In conclusion, the decision fusion classifier demonstrated some promise in detecting breast lesions and outperformed other classifiers, especially for the very noisy classification problem of distinguishing benign from malignant lesions.
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are purely top-down or bottom-up. Here, we pr...
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Shape matching is one of the fundamental problems in content-based 3D shape retrieval. Since there are typically a large number of possible matches in a shape database, there is a crucial need to perform shape matchin...
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