Hemant Joshi | M S University (original) (raw)
Papers by Hemant Joshi
Journal of Pharmaceutical Sciences, 2003
The objective of this work was to characterize dexloxiglumide biopharmaceutical properties in vit... more The objective of this work was to characterize dexloxiglumide biopharmaceutical properties in vitro and relate these characteristics to its in vivo absorption performance, and to assess dexloxiglumide interaction with P-glycoprotein (P-gp) and MRP1 to anticipate its drug interaction potential. Dexloxiglumide aqueous solubility was moderate and pH dependent. Dexloxiglumide exhibited moderate Caco-2 permeability that was polarized, concentration dependent, and pH dependent. The apical-to-basolateral (AP–BL) permeability at pH 5 [14.5 (±1.8) × 10−6 cm/s] was 2-fold higher than at pH 7.5 [7.24 (±0.27) × 10−6 cm/s]. Neutral and ionized dexloxiglumide species displayed permeabilities of 30.8 (±8.4) × 10−6 cm/s and 9.03 (±1.31) × 10−6 cm/s, respectively. The transport of dexloxiglumide across MDR1-MDCK (P-gp overexpressing Madine Darby canine kidney cells) monolayers was polarized, with a BL–AP/AP–BL permeability ratio of 9.35 (±0.73), which was reduced to 1.03 (±0.03) by P-gp inhibition. Rhodamine 123 efflux was reduced by dexloxiglumide from 4.06 (±0.34) to 2.84 (±0.15) across Caco-2 monolayers, and from 17.3 (±0.9) to 8.26 (±1.38) across MDR1-MDCK monolayers, further indicating dexloxiglumide interaction with P-gp. Additionally, P-gp ATPase activity increased with dexloxiglumide concentration. Dexloxiglumide was effluxed from MRP1-NIH3T3 cells (NIH-3T3 cells expressing the multidrug resistance-associated protein 1). Dexloxiglumide increased MRP1-substrate fluorescein uptake 4-fold, and fluorescein increased dexloxiglumide uptake 1.8-fold. Overall, in vitro transport studies indicate dexloxiglumide to be moderately soluble and moderately permeable, which is in agreement with the incomplete oral absorption of dexloxiglumide. In vitro, dexloxiglumide was moderately modulated by P-gp and MRP1, which provides a rationale for the design of drug interaction studies. © 2003 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 92:1968–1980, 2003
The rapid increase of the information on the World Wide Web (WWW) makes it challenging to extract... more The rapid increase of the information on the World Wide Web (WWW) makes it challenging to extract the relevant information utilizing the reasonable amount of resources. Most of the time, it become necessary for users to modify their search queries several times before ...
University of Arkansas at Little Rock's Blog Track team participated in only the core task of the... more University of Arkansas at Little Rock's Blog Track team participated in only the core task of the blog track this year. The data acquired was identical to that of previous year except some new .retrieval tasks were introduced. The core task was to identify blogs that are opinionated about a certain subject. Fifty new topics were provided by National Institute of Standards and Technology (NIST) this year. Apart from the core task, two subtasks were also introduced. Polarity subtask was to detect polarity of the opinionated blog about a given topic. Feed distillation subtask was based on finding feeds rather than individual permalinks. Last year, we participated in the core task [1] and this year we planned to continue on our previous work. Although an attempt was made last year to use Active Learning with Support Vector Machine (SVM) to detect opinionated blog, identifying the opinion expressed about a given topic was unsuccessful. The difference this time around is in the use of search engines to conduct the topic search, categorizations of queries for further training, and a Natural Language based "onepass-processing" approach.
Understanding contextual behavior is very important in order to develop a context-aware retrieval... more Understanding contextual behavior is very important in order to develop a context-aware retrieval system. This paper discusses the philosophy behind the development of the "Evolutionary Behavior Of Textual Semantics" (EBOTS) system. The representative mathematical model has complemented the theoretical foundation. Intuitive contextual behavior is studied as a part of proposed research work. Context retrieval based on semantic knowledge allows generic queries to be defined, instead of exact word-based queries. The results of the context retrieval for a classic3 and Time dataset using the EBOTS system have been discussed in this paper. The paper makes a contribution to the semantic knowledge representation and retrieval algorithms.
6. ACKNOWLEDGEMENTS This work was funded in part, by grants from the National Science Foundation ... more 6. ACKNOWLEDGEMENTS This work was funded in part, by grants from the National Science Foundation (CNS-0619069) and Acxiom Corpora-tion (# 281539) 7. REFERENCES [I] W3C Recommendation, 2004, OWL Web Ontology Language Reference, at http://www.w3.org/ ...
Finding and fixing software bugs is a challenging maintenance task, and a significant amount of e... more Finding and fixing software bugs is a challenging maintenance task, and a significant amount of effort is invested by software development companies on this issue. In this paper, we use the Eclipse project's recorded software bug history to predict occurrence of future bugs. The history contains information on when bugs have been reported and subsequently fixed.
We consider Opinion Blog retrieval from classification point of view. We used the active learning... more We consider Opinion Blog retrieval from classification point of view. We used the active learning method with an integrated feature selection to train the Support Vector Machine algorithm. We wanted to study the effect of different types of features on the classification accuracy of the model generated by the classifier algorithm. We considered mainly three different types of features for 5 runs submitted. Feature types include bag-of-words features, seed-words as features and statistical features. Bag-ofwords features are generated from the actual blog data. Seed-words were manually generated specific to the domain of interest. Statistical features studied included the ratio of linguistic features to total number of words. We built models using an iterative process and studied accuracy as well as coverage of each model. Study of different features is important in order to build a better model. Feature selection algorithms can choose the best features among the available ones but different features have costs associated with them. We need features that not only predict class labels or contribute towards prediction but the feature should also be representative of the entire dataset, especially test data. Training the classifier on such features will yield better coverage and training accuracy for the model. We compared the three different models generated by three different feature generation strategies. Our preliminary results indicate that seed-words that are specific to a particular domain or particular type of classification achieve better accuracy and coverage. In general, bag-of-words features are tightly coupled with the data they represent. On the other hand, statistical features are independent of the actual words used. Statistical features are more useful in building robust models that can be used with different languages and for different tasks.
There is an increase in the number of software projects developed in a globally distributed envir... more There is an increase in the number of software projects developed in a globally distributed environment. As a consequence of such dispersion, it becomes much harder for project managers to make resource estimations with limited information. In order to assist in the process of project resource estimations as well as support management planning for such distributed software projects, we present a methodology using software bug history data to model and predict future bug occurrences. The algorithm works in a two-step analysis mode: Local and Global Analysis. Local analysis leverages the past history of bug counts for a specific month. On the other hand, global analysis considers the bug counts over time for each individual component. The bug prediction achieved by the algorithm is close to actual bug counts for individual components of Eclipse software.
Having an I-TRM is crucial to developing robust systems that are self-aware, self-healing and ada... more Having an I-TRM is crucial to developing robust systems that are self-aware, self-healing and adaptable within a resource constrained environment. This work extends the previous work by developing an Architecture for a Sensor based on the I-TRM.
Journal of Pharmaceutical Sciences, 2003
The objective of this work was to characterize dexloxiglumide biopharmaceutical properties in vit... more The objective of this work was to characterize dexloxiglumide biopharmaceutical properties in vitro and relate these characteristics to its in vivo absorption performance, and to assess dexloxiglumide interaction with P-glycoprotein (P-gp) and MRP1 to anticipate its drug interaction potential. Dexloxiglumide aqueous solubility was moderate and pH dependent. Dexloxiglumide exhibited moderate Caco-2 permeability that was polarized, concentration dependent, and pH dependent. The apical-to-basolateral (AP–BL) permeability at pH 5 [14.5 (±1.8) × 10−6 cm/s] was 2-fold higher than at pH 7.5 [7.24 (±0.27) × 10−6 cm/s]. Neutral and ionized dexloxiglumide species displayed permeabilities of 30.8 (±8.4) × 10−6 cm/s and 9.03 (±1.31) × 10−6 cm/s, respectively. The transport of dexloxiglumide across MDR1-MDCK (P-gp overexpressing Madine Darby canine kidney cells) monolayers was polarized, with a BL–AP/AP–BL permeability ratio of 9.35 (±0.73), which was reduced to 1.03 (±0.03) by P-gp inhibition. Rhodamine 123 efflux was reduced by dexloxiglumide from 4.06 (±0.34) to 2.84 (±0.15) across Caco-2 monolayers, and from 17.3 (±0.9) to 8.26 (±1.38) across MDR1-MDCK monolayers, further indicating dexloxiglumide interaction with P-gp. Additionally, P-gp ATPase activity increased with dexloxiglumide concentration. Dexloxiglumide was effluxed from MRP1-NIH3T3 cells (NIH-3T3 cells expressing the multidrug resistance-associated protein 1). Dexloxiglumide increased MRP1-substrate fluorescein uptake 4-fold, and fluorescein increased dexloxiglumide uptake 1.8-fold. Overall, in vitro transport studies indicate dexloxiglumide to be moderately soluble and moderately permeable, which is in agreement with the incomplete oral absorption of dexloxiglumide. In vitro, dexloxiglumide was moderately modulated by P-gp and MRP1, which provides a rationale for the design of drug interaction studies. © 2003 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 92:1968–1980, 2003
The rapid increase of the information on the World Wide Web (WWW) makes it challenging to extract... more The rapid increase of the information on the World Wide Web (WWW) makes it challenging to extract the relevant information utilizing the reasonable amount of resources. Most of the time, it become necessary for users to modify their search queries several times before ...
University of Arkansas at Little Rock's Blog Track team participated in only the core task of the... more University of Arkansas at Little Rock's Blog Track team participated in only the core task of the blog track this year. The data acquired was identical to that of previous year except some new .retrieval tasks were introduced. The core task was to identify blogs that are opinionated about a certain subject. Fifty new topics were provided by National Institute of Standards and Technology (NIST) this year. Apart from the core task, two subtasks were also introduced. Polarity subtask was to detect polarity of the opinionated blog about a given topic. Feed distillation subtask was based on finding feeds rather than individual permalinks. Last year, we participated in the core task [1] and this year we planned to continue on our previous work. Although an attempt was made last year to use Active Learning with Support Vector Machine (SVM) to detect opinionated blog, identifying the opinion expressed about a given topic was unsuccessful. The difference this time around is in the use of search engines to conduct the topic search, categorizations of queries for further training, and a Natural Language based "onepass-processing" approach.
Understanding contextual behavior is very important in order to develop a context-aware retrieval... more Understanding contextual behavior is very important in order to develop a context-aware retrieval system. This paper discusses the philosophy behind the development of the "Evolutionary Behavior Of Textual Semantics" (EBOTS) system. The representative mathematical model has complemented the theoretical foundation. Intuitive contextual behavior is studied as a part of proposed research work. Context retrieval based on semantic knowledge allows generic queries to be defined, instead of exact word-based queries. The results of the context retrieval for a classic3 and Time dataset using the EBOTS system have been discussed in this paper. The paper makes a contribution to the semantic knowledge representation and retrieval algorithms.
6. ACKNOWLEDGEMENTS This work was funded in part, by grants from the National Science Foundation ... more 6. ACKNOWLEDGEMENTS This work was funded in part, by grants from the National Science Foundation (CNS-0619069) and Acxiom Corpora-tion (# 281539) 7. REFERENCES [I] W3C Recommendation, 2004, OWL Web Ontology Language Reference, at http://www.w3.org/ ...
Finding and fixing software bugs is a challenging maintenance task, and a significant amount of e... more Finding and fixing software bugs is a challenging maintenance task, and a significant amount of effort is invested by software development companies on this issue. In this paper, we use the Eclipse project's recorded software bug history to predict occurrence of future bugs. The history contains information on when bugs have been reported and subsequently fixed.
We consider Opinion Blog retrieval from classification point of view. We used the active learning... more We consider Opinion Blog retrieval from classification point of view. We used the active learning method with an integrated feature selection to train the Support Vector Machine algorithm. We wanted to study the effect of different types of features on the classification accuracy of the model generated by the classifier algorithm. We considered mainly three different types of features for 5 runs submitted. Feature types include bag-of-words features, seed-words as features and statistical features. Bag-ofwords features are generated from the actual blog data. Seed-words were manually generated specific to the domain of interest. Statistical features studied included the ratio of linguistic features to total number of words. We built models using an iterative process and studied accuracy as well as coverage of each model. Study of different features is important in order to build a better model. Feature selection algorithms can choose the best features among the available ones but different features have costs associated with them. We need features that not only predict class labels or contribute towards prediction but the feature should also be representative of the entire dataset, especially test data. Training the classifier on such features will yield better coverage and training accuracy for the model. We compared the three different models generated by three different feature generation strategies. Our preliminary results indicate that seed-words that are specific to a particular domain or particular type of classification achieve better accuracy and coverage. In general, bag-of-words features are tightly coupled with the data they represent. On the other hand, statistical features are independent of the actual words used. Statistical features are more useful in building robust models that can be used with different languages and for different tasks.
There is an increase in the number of software projects developed in a globally distributed envir... more There is an increase in the number of software projects developed in a globally distributed environment. As a consequence of such dispersion, it becomes much harder for project managers to make resource estimations with limited information. In order to assist in the process of project resource estimations as well as support management planning for such distributed software projects, we present a methodology using software bug history data to model and predict future bug occurrences. The algorithm works in a two-step analysis mode: Local and Global Analysis. Local analysis leverages the past history of bug counts for a specific month. On the other hand, global analysis considers the bug counts over time for each individual component. The bug prediction achieved by the algorithm is close to actual bug counts for individual components of Eclipse software.
Having an I-TRM is crucial to developing robust systems that are self-aware, self-healing and ada... more Having an I-TRM is crucial to developing robust systems that are self-aware, self-healing and adaptable within a resource constrained environment. This work extends the previous work by developing an Architecture for a Sensor based on the I-TRM.