366 results on '"Sinha, P. R."'
Search Results
2. Biodegradable sanitary napkins — a sustainable approach towards menstrual and environmental hygiene
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Panjwani, Mohit, Rapolu, Yugendhar, Chaudhary, Mehak, Gulati, Mohak, Razdan, Karan, Dhawan, Ananya, and Sinha, V. R.
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- 2024
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3. Fundamental Limits of Throughput and Availability: Applications to prophet inequalities & transaction fee mechanism design
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Ganesh, Aadityan, Hartline, Jason, Sinha, Atanu R, and vonAllmen, Matthew
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Computer Science - Computer Science and Game Theory - Abstract
This paper studies the fundamental limits of availability and throughput for independent and heterogeneous demands of a limited resource. Availability is the probability that the demands are below the capacity of the resource. Throughput is the expected fraction of the resource that is utilized by the demands. We offer a concentration inequality generator that gives lower bounds on feasible availability and throughput pairs with a given capacity and independent but not necessarily identical distributions of up-to-unit demands. We show that availability and throughput cannot both be poor. These bounds are analogous to tail inequalities on sums of independent random variables, but hold throughout the support of the demand distribution. This analysis gives analytically tractable bounds supporting the unit-demand characterization of Chawla, Devanur, and Lykouris (2023) and generalizes to up-to-unit demands. Our bounds also provide an approach towards improved multi-unit prophet inequalities (Hajiaghayi, Kleinberg, and Sandholm, 2007). They have applications to transaction fee mechanism design (for blockchains) where high availability limits the probability of profitable user-miner coalitions (Chung and Shi, 2023)., Comment: 34 pages, 7 figures; updated author information to include institutions and email addresses 35 pages, 7 figures; updated the TFM section and the last paragraph in the Applications section
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- 2024
4. Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
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Chopra, Harshita, Sinha, Atanu R., Choudhary, Sunav, Rossi, Ryan A., Indela, Paavan Kumar, Parwatala, Veda Pranav, Paul, Srinjayee, and Maiti, Aurghya
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Computer Science - Artificial Intelligence ,Computer Science - Information Retrieval ,Computer Science - Machine Learning - Abstract
Users' behavioral footprints online enable firms to discover behavior-based user segments (or, segments) and deliver segment specific messages to users. Following the discovery of segments, delivery of messages to users through preferred media channels like Facebook and Google can be challenging, as only a portion of users in a behavior segment find match in a medium, and only a fraction of those matched actually see the message (exposure). Even high quality discovery becomes futile when delivery fails. Many sophisticated algorithms exist for discovering behavioral segments; however, these ignore the delivery component. The problem is compounded because (i) the discovery is performed on the behavior data space in firms' data (e.g., user clicks), while the delivery is predicated on the static data space (e.g., geo, age) as defined by media; and (ii) firms work under budget constraint. We introduce a stochastic optimization based algorithm for delivery optimized discovery of behavioral user segmentation and offer new metrics to address the joint optimization. We leverage optimization under a budget constraint for delivery combined with a learning-based component for discovery. Extensive experiments on a public dataset from Google and a proprietary dataset show the effectiveness of our approach by simultaneously improving delivery metrics, reducing budget spend and achieving strong predictive performance in discovery.
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- 2024
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5. Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
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Sinha, Atanu R, Anand, Tanay, Maheshwari, Paridhi, Lakshmy, A V, and Jain, Vishal
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Computer Science - Information Retrieval ,Computer Science - Machine Learning ,Statistics - Methodology ,Statistics - Machine Learning - Abstract
A site's recommendation system relies on knowledge of its users' preferences to offer relevant recommendations to them. These preferences are for attributes that comprise items and content shown on the site, and are estimated from the data of users' interactions with the site. Another form of users' preferences is material too, namely, users' preferences for the site over other sites, since that shows users' base level propensities to engage with the site. Estimating users' preferences for the site, however, faces major obstacles because (a) the focal site usually has no data of its users' interactions with other sites; these interactions are users' unobserved behaviors for the focal site; and (b) the Machine Learning literature in recommendation does not offer a model of this situation. Even if (b) is resolved, the problem in (a) persists since without access to data of its users' interactions with other sites, there is no ground truth for evaluation. Moreover, it is most useful when (c) users' preferences for the site can be estimated at the individual level, since the site can then personalize recommendations to individual users. We offer a method to estimate individual user's preference for a focal site, under this premise. In particular, we compute the focal site's share of a user's online engagements without any data from other sites. We show an evaluation framework for the model using only the focal site's data, allowing the site to test the model. We rely upon a Hierarchical Bayes Method and perform estimation in two different ways - Markov Chain Monte Carlo and Stochastic Gradient with Langevin Dynamics. Our results find good support for the approach to computing personalized share of engagement and for its evaluation.
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- 2023
6. Elevated nuclear TDP-43 induces constitutive exon skipping
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Carmen-Orozco, Rogger P., Tsao, William, Ye, Yingzhi, Sinha, Irika R., Chang, Koping, Trinh, Vickie T., Chung, William, Bowden, Kyra, Troncoso, Juan C., Blackshaw, Seth, Hayes, Lindsey R., Sun, Shuying, Wong, Philip C., and Ling, Jonathan P.
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- 2024
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7. Spatiotemporal atmospheric in-situ carbon dioxide data over the Indian sites-data perspective
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Pathakoti, Mahesh, D.V., Mahalakshmi, G., Sreenivas, Suryavanshi, Arun Shamrao, Taori, Alok, Kant, Yogesh, P., Raja, Bothale, Rajashree Vinod, Chauhan, Prakash, K.S., Rajan, Sinha, P. R., Chandra, Naveen, and Dadhwal, Vinay Kumar
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- 2024
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8. DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
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Narechania, Arpit, Du, Fan, Sinha, Atanu R, Rossi, Ryan A., Hoffswell, Jane, Guo, Shunan, Koh, Eunyee, Navathe, Shamkant B., and Endert, Alex
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Computer Science - Human-Computer Interaction - Abstract
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality - the validity and appropriateness of data required to perform certain analytical tasks; and (2) usage - the historical utilization characteristics of data across multiple users. Through a design study with 14 data workers, we integrate this information into a visual data preparation and analysis tool, DataPilot. DataPilot presents visual cues about "the good, the bad, and the ugly" aspects of data and provides graphical user interface controls as interaction affordances, guiding users to perform subset selection. Through a study with 36 participants, we investigate how DataPilot helps users navigate a large, unfamiliar tabular dataset, prepare a relevant subset, and build a visualization dashboard. We find that users selected smaller, effective subsets with higher quality and usage, and with greater success and confidence., Comment: 18 pages, 5 figures, 1 table, ACM CHI 2023
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- 2023
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9. B2B Advertising: Joint Dynamic Scoring of Account and Users
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Sinha, Atanu R., Choudhary, Gautam, Agarwal, Mansi, Bindal, Shivansh, Pande, Abhishek, and Girabawe, Camille
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Computer Science - Machine Learning - Abstract
When a business sells to another business (B2B), the buying business is represented by a group of individuals, termed account, who collectively decide whether to buy. The seller advertises to each individual and interacts with them, mostly by digital means. The sales cycle is long, most often over a few months. There is heterogeneity among individuals belonging to an account in seeking information and hence the seller needs to score the interest of each individual over a long horizon to decide which individuals must be reached and when. Moreover, the buy decision rests with the account and must be scored to project the likelihood of purchase, a decision that is subject to change all the way up to the actual decision, emblematic of group decision making. We score decision of the account and its individuals in a dynamic manner. Dynamic scoring allows opportunity to influence different individual members at different time points over the long horizon. The dataset contains behavior logs of each individual's communication activities with the seller; but, there are no data on consultations among individuals which result in the decision. Using neural network architecture, we propose several ways to aggregate information from individual members' activities, to predict the group's collective decision. Multiple evaluations find strong model performance., Comment: Published at KDD Workshop: AdKDD 2022
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- 2022
10. A fluid biomarker reveals loss of TDP-43 splicing repression in presymptomatic ALS–FTD
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Irwin, Katherine E., Jasin, Pei, Braunstein, Kerstin E., Sinha, Irika R., Garret, Mark A., Bowden, Kyra D., Chang, Koping, Troncoso, Juan C., Moghekar, Abhay, Oh, Esther S., Raitcheva, Denitza, Bartlett, Dan, Miller, Timothy, Berry, James D., Traynor, Bryan J., Ling, Jonathan P., and Wong, Philip C.
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- 2024
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11. Automated recognition of Myanmar sign language using deep learning module
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Kyaw, Nwe Ni, Mitra, Pabitra, and Sinha, G. R.
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- 2024
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12. Two-Phase Ratio Estimation Using Ordinal and Ratio Auxiliary Variables in Non-response
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Sinha, R. R. and Khanna, Bharti
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- 2023
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13. Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases
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Sinha, Atanu R, Goyal, Navita, Dhamnani, Sunny, Asija, Tanay, Dubey, Raja K, Raja, M V Kaarthik, and Theocharous, Georgios
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Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction ,Computer Science - Machine Learning - Abstract
Cognitive biases are mental shortcuts humans use in dealing with information and the environment, and which result in biased actions and behaviors (or, actions), unbeknownst to themselves. Biases take many forms, with cognitive biases occupying a central role that inflicts fairness, accountability, transparency, ethics, law, medicine, and discrimination. Detection of biases is considered a necessary step toward their mitigation. Herein, we focus on two cognitive biases - anchoring and recency. The recognition of cognitive bias in computer science is largely in the domain of information retrieval, and bias is identified at an aggregate level with the help of annotated data. Proposing a different direction for bias detection, we offer a principled approach along with Machine Learning to detect these two cognitive biases from Web logs of users' actions. Our individual user level detection makes it truly personalized, and does not rely on annotated data. Instead, we start with two basic principles established in cognitive psychology, use modified training of an attention network, and interpret attention weights in a novel way according to those principles, to infer and distinguish between these two biases. The personalized approach allows detection for specific users who are susceptible to these biases when performing their tasks, and can help build awareness among them so as to undertake bias mitigation.
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- 2022
14. Neuroprotective effect of Berberine Nanoparticles Against Seizures in Pentylenetetrazole Induced Kindling Model of Epileptogenesis: Role of Anti-Oxidative, Anti-Inflammatory, and Anti-Apoptotic Mechanisms
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Saha, Lekha, Kumari, Puja, Rawat, Kajal, Gautam, Vipasha, Sandhu, Arushi, Singh, Neha, Bhatia, Alka, Bhattacharya, Shalmoli, Sinha, V. R., and Chakrabarti, Amitava
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- 2023
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15. Molecular mechanisms underlying leaf development, morphological diversification, and beyond
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Nakayama, Hokuto, Leichty, Aaron R, and Sinha, Neelima R
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Biological Sciences ,Genetics ,Biotechnology ,Human Genome ,Gene Regulatory Networks ,Genomics ,Plant Leaves ,Transcriptome ,Biochemistry and Cell Biology ,Plant Biology ,Plant Biology & Botany ,Plant biology - Abstract
The basic mechanisms of leaf development have been revealed through a combination of genetics and intense analyses in select model species. The genetic basis for diversity in leaf morphology seen in nature is also being unraveled through recent advances in techniques and technologies related to genomics and transcriptomics, which have had a major impact on these comparative studies. However, this has led to the emergence of new unresolved questions about the mechanisms that generate the diversity of leaf form. Here, we provide a review of the current knowledge of the fundamental molecular genetic mechanisms underlying leaf development with an emphasis on natural variation and conserved gene regulatory networks involved in leaf development. Beyond that, we discuss open questions/enigmas in the area of leaf development, how recent technologies can best be deployed to generate a unified understanding of leaf diversity and its evolution, and what untapped fields lie ahead.
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- 2022
16. High-resolution neural recordings improve the accuracy of speech decoding
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Duraivel, Suseendrakumar, Rahimpour, Shervin, Chiang, Chia-Han, Trumpis, Michael, Wang, Charles, Barth, Katrina, Harward, Stephen C., Lad, Shivanand P., Friedman, Allan H., Southwell, Derek G., Sinha, Saurabh R., Viventi, Jonathan, and Cogan, Gregory B.
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- 2023
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17. Heinz-resistant tomato cultivars exhibit a lignin-based resistance to field dodder (Cuscuta campestris) parasitism
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Jhu, Min-Yao, Farhi, Moran, Wang, Li, Philbrook, Richard N, Belcher, Michael S, Nakayama, Hokuto, Zumstein, Kristina S, Rowland, Sarah D, Ron, Mily, Shih, Patrick M, and Sinha, Neelima R
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Prevention ,Infectious Diseases ,Cuscuta ,Host Specificity ,Lignin ,Solanum lycopersicum ,Solanum ,Biological Sciences ,Agricultural and Veterinary Sciences ,Plant Biology & Botany - Abstract
Cuscuta species (dodders) are agriculturally destructive, parasitic angiosperms. These parasitic plants use haustoria as physiological bridges to extract nutrients and water from hosts. Cuscuta campestris has a broad host range and wide geographical distribution. While some wild tomato relatives are resistant, cultivated tomatoes are generally susceptible to C. campestris infestations. However, some specific Heinz tomato (Solanum lycopersicum) hybrid cultivars exhibit resistance to dodders in the field, but their defense mechanism was previously unknown. Here, we discovered that the stem cortex in these resistant lines responds with local lignification upon C. campestris attachment, preventing parasite entry into the host. Lignin Induction Factor 1 (LIF1, an AP2-like transcription factor), SlMYB55, and Cuscuta R-gene for Lignin-based Resistance 1, a CC-NBS-LRR (CuRLR1) are identified as factors that confer host resistance by regulating lignification. SlWRKY16 is upregulated upon C. campestris infestation and potentially negatively regulates LIF1 function. Intriguingly, CuRLR1 may play a role in signaling or function as an intracellular receptor for receiving Cuscuta signals or effectors, thereby regulating lignification-based resistance. In summary, these four regulators control the lignin-based resistance response in specific Heinz tomato cultivars, preventing C. campestris from parasitizing resistant tomatoes. This discovery provides a foundation for investigating multilayer resistance against Cuscuta species and has potential for application in other essential crops attacked by parasitic plants.
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- 2022
18. The genomic basis of the plant island syndrome in Darwin’s giant daisies
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Cerca, José, Petersen, Bent, Lazaro-Guevara, José Miguel, Rivera-Colón, Angel, Birkeland, Siri, Vizueta, Joel, Li, Siyu, Li, Qionghou, Loureiro, João, Kosawang, Chatchai, Díaz, Patricia Jaramillo, Rivas-Torres, Gonzalo, Fernández-Mazuecos, Mario, Vargas, Pablo, McCauley, Ross A, Petersen, Gitte, Santos-Bay, Luisa, Wales, Nathan, Catchen, Julian M, Machado, Daniel, Nowak, Michael D, Suh, Alexander, Sinha, Neelima R, Nielsen, Lene R, Seberg, Ole, Gilbert, M Thomas P, Leebens-Mack, James H, Rieseberg, Loren H, and Martin, Michael D
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Biological Sciences ,Ecology ,Evolutionary Biology ,Genetics ,Human Genome ,Biotechnology ,Biological Evolution ,DNA Transposable Elements ,Genomics ,Synteny - Abstract
The repeated, rapid and often pronounced patterns of evolutionary divergence observed in insular plants, or the 'plant island syndrome', include changes in leaf phenotypes, growth, as well as the acquisition of a perennial lifestyle. Here, we sequence and describe the genome of the critically endangered, Galápagos-endemic species Scalesia atractyloides Arnot., obtaining a chromosome-resolved, 3.2-Gbp assembly containing 43,093 candidate gene models. Using a combination of fossil transposable elements, k-mer spectra analyses and orthologue assignment, we identify the two ancestral genomes, and date their divergence and the polyploidization event, concluding that the ancestor of all extant Scalesia species was an allotetraploid. There are a comparable number of genes and transposable elements across the two subgenomes, and while their synteny has been mostly conserved, we find multiple inversions that may have facilitated adaptation. We identify clear signatures of selection across genes associated with vascular development, growth, adaptation to salinity and flowering time, thus finding compelling evidence for a genomic basis of the island syndrome in one of Darwin's giant daisies.
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- 2022
19. Investigating Host and Parasitic Plant Interaction by Tissue-Specific Gene Analyses on Tomato and Cuscuta campestris Interface at Three Haustorial Developmental Stages
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Jhu, Min-Yao, Farhi, Moran, Wang, Li, Zumstein, Kristina, and Sinha, Neelima R
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Genetics ,Biotechnology ,Infectious Diseases ,2.1 Biological and endogenous factors ,Aetiology ,parasitic plants ,Cuscuta campestris ,laser-capture microdissection ,host-induced gene silencing ,CRISPR ,haustoria ,Solanum lycopersicum ,Plant Biology - Abstract
Parasitic weeds cause billions of dollars in agricultural losses each year worldwide. Cuscuta campestris (C. campestris), one of the most widespread and destructive parasitic plants in the United States, severely reduces yield in tomato plants. Reducing the spread of parasitic weeds requires understanding the interaction between parasites and hosts. Several studies have identified factors needed for parasitic plant germination and haustorium induction, and genes involved in host defense responses. However, knowledge of the mechanisms underlying the interactions between host and parasitic plants, specifically at the interface between the two organisms, is relatively limited. A detailed investigation of the crosstalk between the host and parasite at the tissue-specific level would enable development of effective parasite control strategies. To focus on the haustorial interface, we used laser-capture microdissection (LCM) with RNA-seq on early, intermediate and mature haustorial stages. In addition, the tomato host tissue that immediately surround the haustoria was collected to obtain tissue- resolution RNA-Seq profiles for C. campestris and tomato at the parasitism interface. After conducting RNA-Seq analysis and constructing gene coexpression networks (GCNs), we identified CcHB7, CcPMEI, and CcERF1 as putative key regulators involved in C. campestris haustorium organogenesis, and three potential regulators, SlPR1, SlCuRe1-like, and SlNLR, in tomatoes that are involved in perceiving signals from the parasite. We used host-induced gene silencing (HIGS) transgenic tomatoes to knock-down the candidate genes in C. campestris and produced CRISPR transgenic tomatoes to knock out candidate genes in tomatoes. The interactions of C. campestris with these transgenic lines were tested and compared with that in wild-type tomatoes. The results of this study reveal the tissue-resolution gene regulatory mechanisms at the parasitic plant-host interface and provide the potential of developing a parasite-resistant system in tomatoes.
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- 2022
20. Author Correction: A fluid biomarker reveals loss of TDP-43 splicing repression in presymptomatic ALS–FTD
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Irwin, Katherine E., Jasin, Pei, Braunstein, Kerstin E., Sinha, Irika R., Garret, Mark A., Bowden, Kyra D., Chang, Koping, Troncoso, Juan C., Moghekar, Abhay, Oh, Esther S., Raitcheva, Denitza, Bartlett, Dan, Miller, Timothy, Berry, James D., Traynor, Bryan J., Ling, Jonathan P., and Wong, Philip C.
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- 2024
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21. A New Mask R-CNN Based Method for Improved Landslide Detection
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Ullo, Silvia Liberata, Mohan, Amrita, Sebastianelli, Alessandro, Ahamed, Shaik Ejaz, Kumar, Basant, Dwivedi, Ramji, and Sinha, G. R.
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
This paper presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model. A data set of 160 elements is created containing landslide and non-landslide images. The proposed method consists of three steps: (i) augmenting training image samples to increase the volume of the training data, (ii) fine tuning with limited image samples, and (iii) performance evaluation of the algorithm in terms of precision, recall and F1 measure, on the considered landslide images, by adopting ResNet-50 and 101 as backbone models. The experimental results are quite encouraging as the proposed method achieves Precision equals to 1.00, Recall 0.93 and F1 measure 0.97, when ResNet-101 is used as backbone model, and with a low number of landslide photographs used as training samples. The proposed algorithm can be potentially useful for land use planners and policy makers of hilly areas where intermittent slope deformations necessitate landslide detection as prerequisite before planning., Comment: 9 pages, 8 figures, 6 tables, submitted to JSTARS special issue on Cultural Heritage
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- 2020
22. Surveys without Questions: A Reinforcement Learning Approach
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Sinha, Atanu R, Jain, Deepali, Sheoran, Nikhil, Khosla, Sopan, and Sasidharan, Reshmi
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Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction ,Computer Science - Machine Learning - Abstract
The 'old world' instrument, survey, remains a tool of choice for firms to obtain ratings of satisfaction and experience that customers realize while interacting online with firms. While avenues for survey have evolved from emails and links to pop-ups while browsing, the deficiencies persist. These include - reliance on ratings of very few respondents to infer about all customers' online interactions; failing to capture a customer's interactions over time since the rating is a one-time snapshot; and inability to tie back customers' ratings to specific interactions because ratings provided relate to all interactions. To overcome these deficiencies we extract proxy ratings from clickstream data, typically collected for every customer's online interactions, by developing an approach based on Reinforcement Learning (RL). We introduce a new way to interpret values generated by the value function of RL, as proxy ratings. Our approach does not need any survey data for training. Yet, on validation against actual survey data, proxy ratings yield reasonable performance results. Additionally, we offer a new way to draw insights from values of the value function, which allow associating specific interactions to their proxy ratings. We introduce two new metrics to represent ratings - one, customer-level and the other, aggregate-level for click actions across customers. Both are defined around proportion of all pairwise, successive actions that show increase in proxy ratings. This intuitive customer-level metric enables gauging the dynamics of ratings over time and is a better predictor of purchase than customer ratings from survey. The aggregate-level metric allows pinpointing actions that help or hurt experience. In sum, proxy ratings computed unobtrusively from clickstream, for every action, for each customer, and for every session can offer interpretable and more insightful alternative to surveys., Comment: The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)
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- 2020
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23. An RNN-Survival Model to Decide Email Send Times
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Singh, Harvineet, Sinha, Moumita, Sinha, Atanu R., Garg, Sahil, and Banerjee, Neha
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously from the send time). However, they do not control the duration it takes for recipients to open emails, labeled as time-to-open. Importantly, among emails that are opened, most occur within a short window from their send times. We posit that emails are likely to be opened sooner when send times are convenient for recipients, while for other send times, emails can get ignored. Thus, to compute appropriate send times it is important to predict times-to-open accurately. We propose a recurrent neural network (RNN) in a survival model framework to predict times-to-open, for each recipient. Using that we compute appropriate send times. We experiment on a data set of emails sent to a million customers over five months. The sequence of emails received by a person from a sender is a result of interactions with past emails from the sender, and hence contain useful signal that inform our model. This sequential dependence affords our proposed RNN-Survival (RNN-S) approach to outperform survival analysis approaches in predicting times-to-open. We show that best times to send emails can be computed accurately from predicted times-to-open. This approach allows a firm to tune send times of emails, which is in its control, to favorably influence open rates and engagement., Comment: 11 pages, 3 figures, 2 tables
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- 2020
24. LATERAL ORGAN BOUNDARIES DOMAIN 25 functions as a key regulator of haustorium development in dodders
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Jhu, Min-Yao, Ichihashi, Yasunori, Farhi, Moran, Wong, Caitlin, and Sinha, Neelima R
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Biotechnology ,Genetics ,Cuscuta ,Gene Expression Regulation ,Plant ,Organogenesis ,Plant ,Plant Proteins ,Biological Sciences ,Agricultural and Veterinary Sciences ,Plant Biology & Botany - Abstract
Parasitic plants reduce crop yield worldwide. Dodder (Cuscuta campestris) is a stem parasite that attaches to its host, using haustoria to extract nutrients and water. We analyzed the transcriptome of six C. campestris tissues and identified a key gene, LATERAL ORGAN BOUNDARIES DOMAIN 25 (CcLBD25), as highly expressed in prehaustoria and haustoria. Gene coexpression networks from different tissue types and laser-capture microdissection RNA-sequencing data indicated that CcLBD25 could be essential for regulating cell wall loosening and organogenesis. We employed host-induced gene silencing by generating transgenic tomato (Solanum lycopersicum) hosts that express hairpin RNAs to target and down-regulate CcLBD25 in the parasite. Our results showed that C. campestris growing on CcLBD25 RNAi transgenic tomatoes transited to the flowering stage earlier and had reduced biomass compared with C. campestris growing on wild-type (WT) hosts, suggesting that parasites growing on transgenic plants were stressed due to insufficient nutrient acquisition. We developed an in vitro haustorium system to assay the number of prehaustoria produced on strands from C. campestris. Cuscuta campestris grown on CcLBD25 RNAi tomatoes produced fewer prehaustoria than those grown on WT tomatoes, indicating that down-regulating CcLBD25 may affect haustorium initiation. Cuscuta campestris haustoria growing on CcLBD25 RNAi tomatoes exhibited reduced pectin digestion and lacked searching hyphae, which interfered with haustorium penetration and formation of vascular connections. The results of this study elucidate the role of CcLBD25 in haustorium development and might contribute to developing parasite-resistant crops.
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- 2021
25. Spatial transcriptional signatures define margin morphogenesis along the proximal–distal and medio-lateral axes in tomato (Solanum lycopersicum) leaves
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Martinez, Ciera C, Li, Siyu, Woodhouse, Margaret R, Sugimoto, Keiko, and Sinha, Neelima R
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Genetics ,Cell Differentiation ,Gene Expression Regulation ,Plant ,Lycopersicon esculentum ,Plant Leaves ,Plant Proteins ,Plants ,Genetically Modified ,Solanum lycopersicum ,Biochemistry and Cell Biology ,Plant Biology ,Plant Biology & Botany - Abstract
Leaf morphogenesis involves cell division, expansion, and differentiation in the developing leaf, which take place at different rates and at different positions along the medio-lateral and proximal-distal leaf axes. The gene expression changes that control cell fate along these axes remain elusive due to difficulties in precisely isolating tissues. Here, we combined rigorous early leaf characterization, laser capture microdissection, and transcriptomic sequencing to ask how gene expression patterns regulate early leaf morphogenesis in wild-type tomato (Solanum lycopersicum) and the leaf morphogenesis mutant trifoliate. We observed transcriptional regulation of cell differentiation along the proximal-distal axis and identified molecular signatures delineating the classically defined marginal meristem/blastozone region during early leaf development. We describe the role of endoreduplication during leaf development, when and where leaf cells first achieve photosynthetic competency, and the regulation of auxin transport and signaling along the leaf axes. Knockout mutants of BLADE-ON-PETIOLE2 exhibited ectopic shoot apical meristem formation on leaves, highlighting the role of this gene in regulating margin tissue identity. We mapped gene expression signatures in specific leaf domains and evaluated the role of each domain in conferring indeterminacy and permitting blade outgrowth. Finally, we generated a global gene expression atlas of the early developing compound leaf.
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- 2021
26. Automatic logo detection from document image using HOG features
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Dixit, Umesh D., Shirdhonkar, M. S., and Sinha, G. R.
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- 2023
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27. Barriers and facilitators to implementation of epilepsy self-management programs: a systematic review using qualitative evidence synthesis methods
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Lewinski, Allison A, Shapiro, Abigail, Gierisch, Jennifer M, Goldstein, Karen M, Blalock, Dan V, Luedke, Matthew W, Gordon, Adelaide M, Bosworth, Hayden B, Drake, Connor, Lewis, Jeffrey D, Sinha, Saurabh R, Husain, Aatif M, Tran, Tung T, Van Noord, Megan G, and Williams, John W
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Health Services and Systems ,Public Health ,Health Sciences ,Neurosciences ,Behavioral and Social Science ,Epilepsy ,Clinical Research ,Brain Disorders ,Neurodegenerative ,7.1 Individual care needs ,Management of diseases and conditions ,Adult ,Humans ,Self-Management ,Self-management ,Qualitative research ,Medical and Health Sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundEpilepsy affects nearly 50 million people worldwide. Self-management is critical for individuals with epilepsy in order to maintain optimal physical, cognitive, and emotional health. Implementing and adopting a self-management program requires considering many factors at the person, program, and systems levels. We conducted a systematic review of qualitative and mixed-methods studies to identify facilitators and barriers that impact implementation and adoption of self-management programs for adults with epilepsy.MethodsWe used established systematic review methodologies for qualitative and mixed-methods studies. We included studies addressing facilitators (i.e., factors that aided) or barriers (i.e., factors that impeded) to implementation and adoption of self-management interventions for adults with epilepsy. We conducted a narrative thematic synthesis to identify facilitators and barriers.ResultsThe literature search identified 2700 citations; 13 studies met eligibility criteria. Our synthesis identified five themes that categorize facilitators and barriers to successful implementation epilepsy self-management: (1) relevance, intervention content that facilitates acquisition of self-management skills; (2) personalization, intervention components that account for the individual's social, physical, and environmental characteristics; (3) intervention components, components and dosing of the intervention; (4) technology considerations, considerations that account for individual's use, familiarity with, and ownership of technology; and (5) clinician interventionist, role and preparation of the individual who leads intervention. We identified facilitators in 11 of the 13 studies and barriers in 11 of the 13 studies and classified these by social-ecological level (i.e., patient/caregiver, program, site/system).ConclusionIdentification of facilitators and barriers at multiple levels provides insight into disease-specific factors that influence implementation and adoption of self-management programs for individuals with epilepsy. Our findings indicate that involving individuals with epilepsy and their caregivers in intervention development, and then tailoring intervention content during the intervention, can help ensure the content is relevant to intervention participants. Our findings also indicate the role of the clinician (i.e., the individual who provides self-management education) is important to intervention implementation, and key issues with clinicians were identified as barriers and opportunities for improvement. Overall, our findings have practical value for those seeking to implement and adopt self-management interventions for epilepsy and other chronic illnesses.Systematic review registrationPROSPERO registration number is CRD42018098604.
- Published
- 2020
28. Forecasting Granular Audience Size for Online Advertising
- Author
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Sinha, Ritwik, Singal, Dhruv, Maneriker, Pranav, Chawla, Kushal, Shrivastava, Yash, Pai, Deepak, and Sinha, Atanu R
- Subjects
Computer Science - Artificial Intelligence - Abstract
Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by the categorical nature of all attributes (e.g. {US, Chrome, Mobile}). With each attribute taking many values, the very large attribute combination set makes estimating audience size for any specific attribute combination challenging. We modify Eclat, a frequent itemset mining (FIM) algorithm, to accommodate categorical variables. For consequent frequent and infrequent itemsets, we then provide forecasts using time series analysis with conditional probabilities to aid approximation. An extensive simulation, based on typical characteristics of audience data, is built to stress test our modified-FIM approach. In two real datasets, comparison with baselines including neural network models, shows that our method lowers computation time of FIM for categorical data. On hold out samples we show that the proposed forecasting method outperforms these baselines., Comment: Published at AdKDD & TargetAd 2018
- Published
- 2019
29. Preclinical Investigation of Transdermal Route for Enhanced Bio-performance of Duloxetine HCl
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Kumar, Rajiv, Sinha, V. R., Dahiya, Lalita, and Sarwal, Amita
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- 2023
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30. Leaf shape is a predictor of fruit quality and cultivar performance in tomato
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Rowland, Steven D, Zumstein, Kristina, Nakayama, Hokuto, Cheng, Zizhang, Flores, Amber M, Chitwood, Daniel H, Maloof, Julin N, and Sinha, Neelima R
- Subjects
Fruit ,Solanum lycopersicum ,Phenotype ,Photosynthesis ,Plant Leaves ,biomass ,fruit quality ,heirloom ,leaf shape ,partial least squares path modeling ,photosynthesis ,Biological Sciences ,Agricultural and Veterinary Sciences ,Plant Biology & Botany - Abstract
Commercial tomato (Solanum lycopersicum) is one of the most widely grown vegetable crops worldwide. Heirloom tomatoes retain extensive genetic diversity and a considerable range of fruit quality and leaf morphological traits. Here the role of leaf morphology was investigated for its impact on fruit quality. Heirloom cultivars were grown in field conditions, and BRIX by yield (BY) and other traits were measured over a 14-wk period. The complex relationships among these morphological and physiological traits were evaluated using partial least-squares path modeling, and a consensus model was developed. Photosynthesis contributed strongly to vegetative biomass and sugar content of fruits but had a negative impact on yield. Conversely leaf shape, specifically rounder leaves, had a strong positive impact on both fruit sugar content and yield. Cultivars such as Stupice and Glacier, with very round leaves, had the highest performance in both fruit sugar and yield. Our model accurately predicted BY for two commercial cultivars using leaf shape data as input. This study revealed the importance of leaf shape to fruit quality in tomato, with rounder leaves having significantly improved fruit quality. This correlation was maintained across a range of diverse genetic backgrounds and shows the importance of leaf morphology in tomato crop improvement.
- Published
- 2020
31. Optimal local estimates of visual motion in a natural environment
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Sinha, Shiva R., Bialek, William, and van Steveninck, Rob R. de Ruyter
- Subjects
Quantitative Biology - Neurons and Cognition ,Condensed Matter - Disordered Systems and Neural Networks ,Physics - Biological Physics - Abstract
Many organisms, from flies to humans, use visual signals to estimate their motion through the world. To explore the motion estimation problem, we have constructed a camera/gyroscope system that allows us to sample, at high temporal resolution, the joint distribution of input images and rotational motions during a long walk in the woods. From these data we construct the optimal estimator of velocity based on spatial and temporal derivatives of image intensity in small patches of the visual world. Over the bulk of the naturally occurring dynamic range, the optimal estimator exhibits the same systematic errors seen in neural and behavioral responses, including the confounding of velocity and contrast. These results suggest that apparent errors of sensory processing may reflect an optimal response to the physical signals in the environment.
- Published
- 2018
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32. Protective Effect of Saffron in Mouse Colitis Models Through Immune Modulation
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Singh, Gulshan, Haileselassie, Yeneneh, Ji, Allison Ruoheng, Maecker, Holden Terry, Sinha, Sidhartha R., Brim, Hassan, Habtezion, Aida, and Ashktorab, Hassan
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- 2022
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33. Classification of defects in photonic bandgap crystal using machine learning under microsoft AzureML environment
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Sharma, Vivek S., Nagwanshi, Kapil Kumar, and Sinha, G. R.
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- 2022
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34. Estimation of Ratio of Two Means Using Regression-Cum-Exponential Estimators in the Presence of Non-response
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Sinha, R. R., Dhingra, Himani, and Thakur, Priya
- Published
- 2022
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35. Convergent Evolution and the Diverse Ontogenetic Origins of Tendrils in Angiosperms
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Sousa-Baena, Mariane S, Sinha, Neelima R, Hernandes-Lopes, José, and Lohmann, Lúcia G
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Plant Biology ,Biological Sciences ,climbing habit ,helical growth ,lianas ,ontogenetic origin ,primary homology ,recurrent evolution ,tendrils ,vines ,Crop and pasture production ,Plant biology - Abstract
Climbers are abundant in tropical forests, where they constitute a major functional plant type. The acquisition of the climbing habit in angiosperms constitutes a key innovation. Successful speciation in climbers is correlated with the development of specialized climbing strategies such as tendrils, i.e., filiform organs with the ability to twine around other structures through helical growth. Tendrils are derived from a variety of morphological structures, e.g., stems, leaves, and inflorescences, and are found in various plant families. In fact, tendrils are distributed throughout the angiosperm phylogeny, from magnoliids to asterids II, making these structures a great model to study convergent evolution. In this study, we performed a thorough survey of tendrils within angiosperms, focusing on their origin and development. We identified 17 tendril types and analyzed their distribution through the angiosperm phylogeny. Some interesting patterns emerged. For instance, tendrils derived from reproductive structures are exclusively found in the Core Eudicots, except from one monocot species. Fabales and Asterales are the orders with the highest numbers of tendrilling strategies. Tendrils derived from modified leaflets are particularly common among asterids, occurring in Polemoniaceae, Bignoniaceae, and Asteraceae. Although angiosperms have a large number of tendrilled representatives, little is known about their origin and development. This work points out research gaps that should help guide future research on the biology of tendrilled species. Additional research on climbers is particularly important given their increasing abundance resulting from environmental disturbance in the tropics.
- Published
- 2018
36. Mass absorption cross section of black carbon for Aethalometer in the Arctic
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Singh, Mohit, primary, Kondo, Yutaka, additional, Ohata, Sho, additional, Mori, Tatsuhiro, additional, Oshima, Naga, additional, Hyvärinen, Antti, additional, Backman, John, additional, Asmi, Eija, additional, Servomaa, Henri, additional, Schnaiter, Franz Martin, additional, Andrews, Elisabeth, additional, Sharma, Sangeeta, additional, Eleftheriadis, Kostas, additional, Vratolis, Stergios, additional, Zhao, Yongjing, additional, Koike, Makoto, additional, Moteki, Nobuhiro, additional, and Sinha, P. R., additional
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- 2024
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- View/download PDF
37. Regression-Cum-Exponential Estimators for Product of Two Population Means Under Double Sampling the Non-respondents
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Sinha, R. R., Gangwar, Suraj, and Sharma, Shiwani
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- 2021
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- View/download PDF
38. How Do Plants and Phytohormones Accomplish Heterophylly, Leaf Phenotypic Plasticity, in Response to Environmental Cues
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Nakayama, Hokuto, Sinha, Neelima R, and Kimura, Seisuke
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Plant Biology ,Biological Sciences ,Ecology ,Ludwigia arcuata ,Potamogeton nodosus ,Rorippa aquatica ,heterophylly ,phenotypic plasticity ,phytohormones ,Crop and pasture production ,Plant biology - Abstract
Plant species are known to respond to variations in environmental conditions. Many plant species have the ability to alter their leaf morphology in response to such changes. This phenomenon is termed heterophylly and is widespread among land plants. In some cases, heterophylly is thought to be an adaptive mechanism that allows plants to optimally respond to environmental heterogeneity. Recently, many research studies have investigated the occurrence of heterophylly in a wide variety of plants. Several studies have suggested that heterophylly in plants is regulated by phytohormones. Herein, we reviewed the existing knowledge on the relationship and role of phytohormones, especially abscisic acid, ethylene, gibberellins, and auxins (IAA), in regulating heterophylly and attempted to elucidate the mechanisms that regulate heterophylly.
- Published
- 2017
39. Left–right leaf asymmetry in decussate and distichous phyllotactic systems
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Martinez, Ciera C, Chitwood, Daniel H, Smith, Richard S, and Sinha, Neelima R
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Plant Biology ,Biological Sciences ,Gene Expression Regulation ,Plant ,Hedera ,Indoleacetic Acids ,Lycopersicon esculentum ,Plant Leaves ,Vitaceae ,plant development ,symmetry ,auxin ,phyllotaxy ,leaf development ,Solanum lycopersicum ,Medical and Health Sciences ,Evolutionary Biology ,Biological sciences ,Biomedical and clinical sciences - Abstract
Leaves in plants with spiral phyllotaxy exhibit directional asymmetries, such that all the leaves originating from a meristem of a particular chirality are similarly asymmetric relative to each other. Models of auxin flux capable of recapitulating spiral phyllotaxis predict handed auxin asymmetries in initiating leaf primordia with empirically verifiable effects on superficially bilaterally symmetric leaves. Here, we extend a similar analysis of leaf asymmetry to decussate and distichous phyllotaxy. We found that our simulation models of these two patterns predicted mirrored asymmetries in auxin distribution in leaf primordia pairs. To empirically verify the morphological consequences of asymmetric auxin distribution, we analysed the morphology of a tomato sister-of-pin-formed1a (sopin1a) mutant, entire-2, in which spiral phyllotaxy consistently transitions to a decussate state. Shifts in the displacement of leaflets on the left and right sides of entire-2 leaf pairs mirror each other, corroborating predicted model results. We then analyse the shape of more than 800 common ivy (Hedera helix) and more than 3000 grapevine (Vitis and Ampelopsis spp.) leaf pairs and find statistical enrichment of predicted mirrored asymmetries. Our results demonstrate that left-right auxin asymmetries in models of decussate and distichous phyllotaxy successfully predict mirrored asymmetric leaf morphologies in superficially symmetric leaves.This article is part of the themed issue 'Provocative questions in left-right asymmetry'.
- Published
- 2016
40. Signature of Sudden Stratospheric Warming in the Pole and Its Antipode
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Dutta, Reetambhara, primary, Sridharan, S., additional, and Sinha, P. R., additional
- Published
- 2024
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41. A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification.
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Fulop, Daniel, Ranjan, Aashish, Ofner, Itai, Covington, Michael F, Chitwood, Daniel H, West, Donelly, Ichihashi, Yasunori, Headland, Lauren, Zamir, Daniel, Maloof, Julin N, and Sinha, Neelima R
- Subjects
Lycopersicon esculentum ,Plant Leaves ,Markov Chains ,Chromosome Mapping ,Crosses ,Genetic ,Inbreeding ,Epistasis ,Genetic ,Genotype ,Quantitative Trait ,Heritable ,Phenotype ,Polymorphism ,Genetic ,Genes ,Plant ,Quantitative Trait Loci ,Models ,Genetic ,Genetic Association Studies ,epistatic QTL ,fine-mapping QTL ,heterogeneous Hidden Markov Model ,regularized regression ,variable selection ,Crosses ,Genetic ,Epistasis ,Quantitative Trait ,Heritable ,Polymorphism ,Genes ,Plant ,Models ,Genetics - Abstract
Quantitative Trait Loci (QTL) mapping is a powerful technique for dissecting the genetic basis of traits and species differences. Established tomato mapping populations between domesticated tomato (Solanum lycopersicum) and its more distant interfertile relatives typically follow a near isogenic line (NIL) design, such as the S. pennellii Introgression Line (IL) population, with a single wild introgression per line in an otherwise domesticated genetic background. Here, we report on a new advanced backcross QTL mapping resource for tomato, derived from a cross between the M82 tomato cultivar and S. pennellii This so-called Backcrossed Inbred Line (BIL) population is comprised of a mix of BC2 and BC3 lines, with domesticated tomato as the recurrent parent. The BIL population is complementary to the existing S. pennellii IL population, with which it shares parents. Using the BILs, we mapped traits for leaf complexity, leaflet shape, and flowering time. We demonstrate the utility of the BILs for fine-mapping QTL, particularly QTL initially mapped in the ILs, by fine-mapping several QTL to single or few candidate genes. Moreover, we confirm the value of a backcrossed population with multiple introgressions per line, such as the BILs, for epistatic QTL mapping. Our work was further enabled by the development of our own statistical inference and visualization tools, namely a heterogeneous hidden Markov model for genotyping the lines, and by using state-of-the-art sparse regression techniques for QTL mapping.
- Published
- 2016
42. Prevalence of enteric bacterial parasites with respect to anthropogenic factors among commensal rhesus macaques in Dehradun, India
- Author
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Beisner, Brianne A, Balasubramaniam, Krishna N, Fernandez, Kristine, Heagerty, Allison, Seil, Shannon K, Atwill, Edward R, Gupta, Brij K, Tyagi, PC, Chauhan, Netrapal PS, Bonal, Bishan S, Sinha, Priya R, and McCowan, Brenda
- Subjects
Microbiology ,Biological Sciences ,Foodborne Illness ,Emerging Infectious Diseases ,Vaccine Related ,Infectious Diseases ,Biodefense ,Prevention ,Digestive Diseases ,2.2 Factors relating to the physical environment ,Aetiology ,Infection ,Good Health and Well Being ,Animals ,Dysentery ,Bacillary ,Escherichia coli ,Escherichia coli Infections ,Feces ,Female ,India ,Macaca mulatta ,Male ,Monkey Diseases ,Prevalence ,Salmonella ,Salmonella Infections ,Animal ,Shigella ,Symbiosis ,Pathogen ,Ethnoprimatology ,Macaque ,Human impact ,South and Southeast Asia ,Evolutionary Biology ,Zoology ,Behavioral Science & Comparative Psychology ,Ecology - Abstract
There has been a recent surge in research on primate infectious disease ecology. Two major areas remain relatively unaddressed to date-the prevalence of enteric bacterial parasites and the role of anthropogenic environmental factors in parasite acquisition in commensally living primate populations. In this preliminary assessment, we address both these gaps by assessing the prevalence, and the role of anthropogenic factors in shaping this prevalence, of three enteric bacterial parasites-E . coli O157:H7, Salmonella sp., Shigella sp.-across populations of rhesus macaques (M. mulatta) that live commensally with humans in Dehradun, northern India. Across 10-week study period, we collected data on (1) human-macaque behavioral interactions, (2) macaque and human demographic and activity scans, and (3) macaque fecal samples from the environment at four different locations in Dehradun. Biochemical tests and morphology-based confirmations clearly established the presence of all three enteric bacterial parasites in rhesus macaques. Overall prevalence ranged from 2 to 5 %, with Shigella sp. being the most prevalent. Regression analyses linking anthropogenic factors to bacterial prevalence showed a positive association between rates of macaques eating human garbage and E. coli O157:H7 (β = 0.23, p = 0.083), but a negative association with Salmonella sp. (β = -0.17, p = 0.026). Rather, the prevalence of Salmonella sp. was positively linked to rates of macaque eating provisioned food (β = 0.0012, p = 0.058). Finally, we found no relationship between anthropogenic factors and the prevalence of Shigella sp. Our findings establish the prevalence of enteric bacterial parasites in commensal populations of primates and suggest that although anthropogenic factors are linked to bacterial prevalence, the nature of the relationships may depend on the socioecological/foraging strategies of macaques and the food sources that facilitate the environmental survival of particular types of enteric bacteria over others.
- Published
- 2016
43. Transcriptome Dynamics and Potential Roles of Sox6 in the Postnatal Heart.
- Author
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An, Chung-Il, Ichihashi, Yasunori, Peng, Jie, Sinha, Neelima R, and Hagiwara, Nobuko
- Subjects
Myocardium ,Heart ,Heart Ventricles ,Animals ,Mice ,Cell Proliferation ,Gene Expression Regulation ,Developmental ,Multigene Family ,Male ,SOXD Transcription Factors ,Gene Knockout Techniques ,Transcriptome ,Gene Expression Regulation ,Developmental ,General Science & Technology - Abstract
The postnatal heart undergoes highly coordinated developmental processes culminating in the complex physiologic properties of the adult heart. The molecular mechanisms of postnatal heart development remain largely unexplored despite their important clinical implications. To gain an integrated view of the dynamic changes in gene expression during postnatal heart development at the organ level, time-series transcriptome analyses of the postnatal hearts of neonatal through adult mice (P1, P7, P14, P30, and P60) were performed using a newly developed bioinformatics pipeline. We identified functional gene clusters by principal component analysis with self-organizing map clustering which revealed organized, discrete gene expression patterns corresponding to biological functions associated with the neonatal, juvenile and adult stages of postnatal heart development. Using weighted gene co-expression network analysis with bootstrap inference for each of these functional gene clusters, highly robust hub genes were identified which likely play key roles in regulating expression of co-expressed, functionally linked genes. Additionally, motivated by the role of the transcription factor Sox6 in the functional maturation of skeletal muscle, the role of Sox6 in the postnatal maturation of cardiac muscle was investigated. Differentially expressed transcriptome analyses between Sox6 knockout (KO) and control hearts uncovered significant upregulation of genes involved in cell proliferation at postnatal day 7 (P7) in the Sox6 KO heart. This result was validated by detecting mitotically active cells in the P7 Sox6 KO heart. The current report provides a framework for the complex molecular processes of postnatal heart development, thus enabling systematic dissection of the developmental regression observed in the stressed and failing adult heart.
- Published
- 2016
44. Transcriptomic analysis suggests a key role for SQUAMOSA PROMOTER BINDING PROTEIN LIKE , NAC and YUCCA genes in the heteroblastic development of the temperate rainforest tree Gevuina avellana (Proteaceae)
- Author
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Ostria-Gallardo, Enrique, Ranjan, Aashish, Chitwood, Daniel H, Kumar, Ravi, Townsley, Brad T, Ichihashi, Yasunori, Corcuera, Luis J, and Sinha, Neelima R
- Published
- 2015
45. Tissue-targeted and localized AAV5-DCNand AAV5-PEDFcombination gene therapy abrogates corneal fibrosis and concurrent neovascularization in rabbit eyes in vivo
- Author
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Mohan, Rajiv R., Gupta, Suneel, Kumar, Rajnish, Sinha, Nishant R., Landreneau, James, Sinha, Prashant R., Tandon, Ashish, Chaurasia, Shyam S., and Hesemann, Nathan P.
- Abstract
Corneal fibrosis and neovascularization (CNV) after ocular trauma impairs vision. This study tested therapeutic potential of tissue-targeted adeno-associated virus5 (AAV5) mediated decorin (DCN) and pigment epithelium-derived factor (PEDF) combination genes in vivo.
- Published
- 2024
- Full Text
- View/download PDF
46. Light-Induced Indeterminacy Alters Shade-Avoiding Tomato Leaf Morphology
- Author
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Chitwood, Daniel H, Kumar, Ravi, Ranjan, Aashish, Pelletier, Julie M, Townsley, Brad T, Ichihashi, Yasunori, Martinez, Ciera C, Zumstein, Kristina, Harada, John J, Maloof, Julin N, and Sinha, Neelima R
- Subjects
Gene Expression Regulation ,Developmental ,Gene Expression Regulation ,Plant ,Homeodomain Proteins ,Light ,Solanum lycopersicum ,Meristem ,Models ,Biological ,Phenotype ,Plant Leaves ,Plant Proteins ,Biological Sciences ,Agricultural and Veterinary Sciences ,Plant Biology & Botany - Abstract
Plants sense the foliar shade of competitors and alter their developmental programs through the shade-avoidance response. Internode and petiole elongation, and changes in overall leaf area and leaf mass per area, are the stereotypical architectural responses to foliar shade in the shoot. However, changes in leaf shape and complexity in response to shade remain incompletely, and qualitatively, described. Using a meta-analysis of more than 18,000 previously published leaflet outlines, we demonstrate that shade avoidance alters leaf shape in domesticated tomato (Solanum lycopersicum) and wild relatives. The effects of shade avoidance on leaf shape are subtle with respect to individual traits but are combinatorially strong. We then seek to describe the developmental origins of shade-induced changes in leaf shape by swapping plants between light treatments. Leaf size is light responsive late into development, but patterning events, such as stomatal index, are irrevocably specified earlier. Observing that shade induces increases in shoot apical meristem size, we then describe gene expression changes in early leaf primordia and the meristem using laser microdissection. We find that in leaf primordia, shade avoidance is not mediated through canonical pathways described in mature organs but rather through the expression of KNOTTED1-LIKE HOMEOBOX and other indeterminacy genes, altering known developmental pathways responsible for patterning leaf shape. We also demonstrate that shade-induced changes in leaf primordium gene expression largely do not overlap with those found in successively initiated leaf primordia, providing evidence against classic hypotheses that shaded leaf morphology results from the prolonged production of juvenile leaf types.
- Published
- 2015
47. An intracellular transcriptomic atlas of the giant coenocyte Caulerpa taxifolia.
- Author
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Ranjan, Aashish, Townsley, Brad T, Ichihashi, Yasunori, Sinha, Neelima R, and Chitwood, Daniel H
- Subjects
Caulerpa ,Gene Expression Profiling ,Cell Cycle ,Cell Division ,Protein Biosynthesis ,Transcription ,Genetic ,Gene Expression Regulation ,Developmental ,Morphogenesis ,Principal Component Analysis ,Databases ,Nucleic Acid ,Gene Ontology ,Developmental Biology ,Genetics - Abstract
Convergent morphologies have arisen in plants multiple times. In non-vascular and vascular land plants, convergent morphology in the form of roots, stems, and leaves arose. The morphology of some green algae includes an anchoring holdfast, stipe, and leaf-like fronds. Such morphology occurs in the absence of multicellularity in the siphonous algae, which are single cells. Morphogenesis is separate from cellular division in the land plants, which although are multicellular, have been argued to exhibit properties similar to single celled organisms. Within the single, macroscopic cell of a siphonous alga, how are transcripts partitioned, and what can this tell us about the development of similar convergent structures in land plants? Here, we present a de novo assembled, intracellular transcriptomic atlas for the giant coenocyte Caulerpa taxifolia. Transcripts show a global, basal-apical pattern of distribution from the holdfast to the frond apex in which transcript identities roughly follow the flow of genetic information in the cell, transcription-to-translation. The analysis of the intersection of transcriptomic atlases of a land plant and Caulerpa suggests the recurrent recruitment of transcript accumulation patterns to organs over large evolutionary distances. Our results not only provide an intracellular atlas of transcript localization, but also demonstrate the contribution of transcript partitioning to morphology, independent from multicellularity, in plants.
- Published
- 2015
48. BrAD-seq: Breath Adapter Directional sequencing: a streamlined, ultra-simple and fast library preparation protocol for strand specific mRNA library construction
- Author
-
Townsley, Brad T, Covington, Michael F, Ichihashi, Yasunori, Zumstein, Kristina, and Sinha, Neelima R
- Subjects
Biotechnology ,Genetics ,Human Genome ,strand-specific sequencing ,NGS ,Illumina ,RNA-seq libraries ,Bioinformatics ,BrAD-seq ,Plant Biology - Abstract
Next Generation Sequencing (NGS) is driving rapid advancement in biological understanding and RNA-sequencing (RNA-seq) has become an indispensable tool for biology and medicine. There is a growing need for access to these technologies although preparation of NGS libraries remains a bottleneck to wider adoption. Here we report a novel method for the production of strand specific RNA-seq libraries utilizing the terminal breathing of double-stranded cDNA to capture and incorporate a sequencing adapter. Breath Adapter Directional sequencing (BrAD-seq) reduces sample handling and requires far fewer enzymatic steps than most available methods to produce high quality strand-specific RNA-seq libraries. The method we present is optimized for 3-prime Digital Gene Expression (DGE) libraries and can easily extend to full transcript coverage shotgun (SHO) type strand-specific libraries and is modularized to accommodate a diversity of RNA and DNA input materials. BrAD-seq offers a highly streamlined and inexpensive option for RNA-seq libraries.
- Published
- 2015
49. Disambiguation using joint entropy in part of speech of written Myanmar text
- Author
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Myint, Sin Thi Yar and Sinha, G. R.
- Published
- 2019
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- View/download PDF
50. A new hybrid jpeg image compression scheme using symbol reduction technique
- Author
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Kumar, Bheshaj, Thakur, Kavita, and Sinha, G. R.
- Subjects
Computer Science - Multimedia ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Lossy JPEG compression is a widely used compression technique. Normally the JPEG standard technique uses three process mapping reduces interpixel redundancy, quantization, which is lossy process and entropy encoding, which is considered lossless process. In this paper, a new technique has been proposed by combining the JPEG algorithm and Symbol Reduction Huffman technique for achieving more compression ratio. The symbols reduction technique reduces the number of symbols by combining together to form a new symbol. As a result of this technique the number of Huffman code to be generated also reduced. It is simple fast and easy to implement. The result shows that the performance of standard JPEG method can be improved by proposed method. This hybrid approach achieves about 20% more compression ratio than the Standard JPEG., Comment: 11 pages,9 figures, SIP 2012 held on 3-4 January 2012,at Bangalore,India. arXiv admin note: text overlap with standard references on JPEG without attribution
- Published
- 2012
- Full Text
- View/download PDF
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