Most California community colleges collect copious amounts of data on entering students, most often through the assessment process. However, many times, the data are underutilized: only a few of the data elements captured are used for assessment purposes and the data are not used outside of placement. I have made several attempts to utilize the data, including an attempt to identify variables t...

In this paper we consider wavelet-based binary linear classifiers. Both consistency results and implementational issues are addressed. We show that under mild assumptions on the design density wavelet discrimination rules are L2-consistent. The proposed method is illustrated on synthetic data sets in which the “truth” is known and on an applied discrimination problem from the industrial field.

Unlike its intercept, a linear classifier's weight vector cannot be tuned by simple grid search. Hence, this paper proposes tuning of generic binary classifier through the parameterization decomposition discriminant scalar which controls trade-off between conflicting informative and noisy terms. By varying parameter, original is modified in meaningful way. Applying method to number class...

Approximately 53% of the protein sequences in the National Biomedical Research Foundation (NBRF) database can be allocated to one of 26 functional classes, each of which can be characterized by the joint occurrence of four or fewer attributes. The attributes reflect collective physicochemical properties of the sequences in a class, ranging from simple characteristics of composition, such as ave...

Data are the foundation of empirical research, yet all too often the datasets underlying published papers are unavailable, incorrect, or poorly curated. This is a serious issue, because future researchers are then unable to validate published results or reuse data to explore new ideas and hypotheses. Even if data files are securely stored and accessible, they must also be accompanied by accurat...

Rapid progress in multiple genome projects continues to feed databases in the world a large volume of sequence data. In this 'post-genomic' era, more efficient and reliable sequence annotation, especially functional annotation of protein sequences, is crucial. Although experimental confirmation is ultimately required, computational annotation of protein sequences has been routinely done, and it...

background: female sexual dysfunction (fsd) is a real problem that affects 25-63% of women. there is no valid persian version of sexual function questionnaire (fsq). objectives: the aim of this study was to test the reliability and validity of persian version of sexual function questionnaire. materials and methods: in this cross-sectional study, 547 women were questioned by persian version of s...

background nephrotoxicity is characterized and scored by many parameters such as vacuolization, dilatation, hyaline cast, debris or degeneration in injured renal tissue. in this short report, we attempt to find, the most correlated parameters with kidney tissue pathology damage score (pds) in cisplatin-induced nephrotoxicity. method a total of 207 normal and toxic rats’ kidney tissue (induced b...

The ability to predict organ-specific carcinogenicity would aid FDA reviewers in evaluating new chemical applications. A NCTR liver cancer database (NCTRlcdb) containing 999 compounds has been developed with three sets of descriptors. The NCTRlcdb has Cerius2, Molconn-Z, and (13)C NMR descriptors for each compound. Each compound in the database was assigned a liver cancer or a nonliver cancer c...

Different thyroid function tests permitted a final classification of 204 consecutive patients with suspected thyroid disorders into three populations (thyrotoxic, euthyroid, and hypothyroid). Linear discriminant analysis was applied to all test results (10 variates) on adjacent population pairs. Two invitro tests (serum protein bound iodine (P.B.I.) and tri-iodothyronine (T-3) uptake values) ga...